diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml index fd623f58c2..7c92f61f11 100644 --- a/.github/FUNDING.yml +++ b/.github/FUNDING.yml @@ -1,5 +1,3 @@ # These are supported funding model platforms -github: willmcgugan -ko_fi: willmcgugan -tidelift: "pypi/rich" +ko_fi: textualize diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md index f6e942e5de..6e2ca38c29 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.md +++ b/.github/ISSUE_TEMPLATE/feature_request.md @@ -18,7 +18,3 @@ Give as much detail as you can. Example code of how you would like it to work wo **What problem does it solve for you?** What problem do you have that this feature would solve? I may be able to suggest an existing way of solving it. - -**Did I help** - -If I was able to resolve your problem, consider [sponsoring](https://github.com/sponsors/willmcgugan) my work on Rich, or [buy me a coffee](https://ko-fi.com/willmcgugan) to say thanks. diff --git a/pull_request_template.md b/.github/pull_request_template.md similarity index 100% rename from pull_request_template.md rename to .github/pull_request_template.md diff --git a/.github/workflows/codespell.yml b/.github/workflows/codespell.yml index 28db4fc2c9..c21f7a6420 100644 --- a/.github/workflows/codespell.yml +++ b/.github/workflows/codespell.yml @@ -4,7 +4,7 @@ jobs: codespell: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - run: python3 -m pip install codespell - run: codespell --ignore-words-list="ba,fo,hel,revered,womens" - --skip="./README.de.md,./README.es.md,./README.sv.md,./README.fr.md,./README.de-ch.md,./README.hi.md,./README.pt-br.md,./README.it.md,*.svg" + --skip="./README.*.md,*.svg,./benchmarks/snippets.py" diff --git a/.github/workflows/pythonpackage.yml b/.github/workflows/pythonpackage.yml index d74c9353d9..93b44bc377 100644 --- a/.github/workflows/pythonpackage.yml +++ b/.github/workflows/pythonpackage.yml @@ -13,7 +13,7 @@ jobs: run: shell: bash steps: - - uses: actions/checkout@v1 + - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: @@ -40,7 +40,7 @@ jobs: source $VENV pytest tests -v --cov=./rich --cov-report=xml:./coverage.xml --cov-report term-missing - name: Upload code coverage - uses: codecov/codecov-action@v1.0.10 + uses: codecov/codecov-action@v2 with: token: ${{ secrets.CODECOV_TOKEN }} file: ./coverage.xml diff --git a/.github/workflows/update_benchmark_website.yml b/.github/workflows/update_benchmark_website.yml new file mode 100644 index 0000000000..d2185039c1 --- /dev/null +++ b/.github/workflows/update_benchmark_website.yml @@ -0,0 +1,24 @@ +on: + release: + types: [ released ] + + +jobs: + asv-publish-and-copy: + runs-on: ubuntu-20.04 + steps: + - uses: actions/checkout@v2 + - uses: actions/setup-python@v2 + with: + python-version: '3.10.2' + - run: 'pip install asv' + - run: 'asv publish' + - uses: cpina/github-action-push-to-another-repository@v1.4.1 + name: 'Copy files to Textualize/rich-benchmarks repo' + env: + API_TOKEN_GITHUB: ${{ secrets.PUBLISH_ASV }} + with: + source-directory: /benchmarks/html + destination-github-username: Textualize + destination-repository-name: rich-benchmarks + user-email: darren@textualize.io diff --git a/.gitignore b/.gitignore index bc0dfdb715..b291d4c2a5 100644 --- a/.gitignore +++ b/.gitignore @@ -2,6 +2,7 @@ .pytype .DS_Store .vscode +.idea/ mypy_report docs/build docs/source/_build @@ -112,3 +113,7 @@ venv.bak/ # mypy .mypy_cache/ + +# airspeed velocity +benchmarks/env/ +benchmarks/html/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index bbae40c844..e241d35539 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -25,12 +25,19 @@ repos: - id: python-use-type-annotations - id: rst-directive-colons - id: rst-inline-touching-normal + - repo: https://github.com/hadialqattan/pycln + rev: v1.2.5 + hooks: + - id: pycln + args: [--all] - repo: https://github.com/psf/black - rev: 21.12b0 + rev: 22.1.0 hooks: - id: black + exclude: ^benchmarks/ - repo: https://github.com/PyCQA/isort rev: 5.10.1 hooks: - id: isort + exclude: ^benchmarks/ args: ["--profile", "black"] diff --git a/CHANGELOG.md b/CHANGELOG.md index 9c1416a5bf..d62dae88ec 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,93 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [12.3.0] - 2022-04-26 + +### Added + +- Ability to change terminal window title https://github.com/Textualize/rich/pull/2200 +- Added show_speed parameter to progress.track which will show the speed when the total is not known +- Python blocks can now opt out from being rendered in tracebacks's frames, by setting a `_rich_traceback_omit = True` in their local scope https://github.com/Textualize/rich/issues/2207 + +### Fixed + +- Fall back to `sys.__stderr__` on POSIX systems when trying to get the terminal size (fix issues when Rich is piped to another process) +- Fixed markup escaping issue https://github.com/Textualize/rich/issues/2187 +- Safari - Box appearing around SVG export https://github.com/Textualize/rich/pull/2201 +- Fixed recursion error in Jupyter progress bars https://github.com/Textualize/rich/issues/2047 +- Complex numbers are now identified by the highlighter https://github.com/Textualize/rich/issues/2214 +- Fix crash on IDLE and forced is_terminal detection to False because IDLE can't do escape codes https://github.com/Textualize/rich/issues/2222 +- Fixed missing blank line in traceback rendering https://github.com/Textualize/rich/issues/2206 +- Fixed running Rich with the current working dir was deleted https://github.com/Textualize/rich/issues/2197 + +### Changed + +- Setting `total=None` on progress is now possible, and will display pulsing animation +- Micro-optimization for Segment.divide + +## [12.2.0] - 2022-04-05 + +### Changed + +- Bumped typing-extensions minimum to 4.0.0 +- Bumped minimum Python version to 3.6.3 + +## [12.1.0] - 2022-04-03 + +### Added + +- Progress.open and Progress.wrap_file method to track the progress while reading from a file or file-like object https://github.com/willmcgugan/rich/pull/1759 +- SVG export functionality https://github.com/Textualize/rich/pull/2101 +- Adding Indonesian translation + +### Fixed + +- Add missing `end` keyword argument to `Text.from_markup` https://github.com/Textualize/rich/pull/2095 +- Fallback to text lexer when no lexer guessed https://github.com/Textualize/rich/pull/2133 +- Fixed issue with decoding ANSI reset https://github.com/Textualize/rich/issues/2112 + +## [12.0.1] - 2022-03-22 + +### Changed + +- Improve performance of cell_length https://github.com/Textualize/rich/pull/2061 +- Improve performance of chop_cells https://github.com/Textualize/rich/pull/2077 + +### Fixed + +- Fix capturing stdout on legacy Windows https://github.com/Textualize/rich/pull/2066 + +## [12.0.0] - 2022-03-10 + +### Added + +- Added options to TimeRemainingColumn to render a compact time format and render elapsed time when a task is + finished. https://github.com/Textualize/rich/pull/1992 +- Added ProgressColumn `MofNCompleteColumn` to display raw `completed/total` column (similar to DownloadColumn, + but displays values as ints, does not convert to floats or add bit/bytes units). + https://github.com/Textualize/rich/pull/1941 +- Replace Colorama with win32 renderer https://github.com/Textualize/rich/pull/1993 +- Add support for namedtuples to `Pretty` https://github.com/Textualize/rich/pull/2031 + +### Fixed + +- In Jupyter mode make the link target be set to "\_blank" +- Fix some issues with markup handling around "[" characters https://github.com/Textualize/rich/pull/1950 +- Fix syntax lexer guessing. +- Fixed Pretty measure not respecting expand_all https://github.com/Textualize/rich/issues/1998 +- Collapsed definitions for single-character spinners, to save memory and reduce import time. +- Fix print_json indent type in `__init__.py` +- Fix error when inspecting object defined in REPL https://github.com/Textualize/rich/pull/2037 +- Fix incorrect highlighting of non-indented JSON https://github.com/Textualize/rich/pull/2038 +- Fixed height reset in complex renderables https://github.com/Textualize/rich/issues/2042 + +### Changed + +- Improved support for enum.Flag in ReprHighlighter https://github.com/Textualize/rich/pull/1920 +- Tree now respects justify=None, i.e. won't pad to right https://github.com/Textualize/rich/issues/1690 +- Removed rich.tabulate which was marked for deprecation +- Deprecated rich.align.AlignValues in favor of AlignMethod + ## [11.2.0] - 2022-02-08 ### Added @@ -17,6 +104,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed performance issue in measuring text +### Fixed + +- Fixed test failures on PyPy3 https://github.com/Textualize/rich/pull/1904 + ## [11.1.0] - 2022-01-28 ### Added @@ -101,8 +192,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed issue with progress bar not rendering markup https://github.com/willmcgugan/rich/issues/1721 - Fixed race condition when exiting Live https://github.com/willmcgugan/rich/issues/1530 -[10.15.0]: https://github.com/willmcgugan/rich/compare/v10.14.0...v10.15.0 - ## [10.14.0] - 2021-11-16 ### Fixed @@ -399,7 +488,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [9.12.1] - 2021-02-27 -### Fixed +### Fixed - Fixed deadlock in Progress https://github.com/willmcgugan/rich/issues/1061 @@ -456,7 +545,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed error message for tracebacks with broken `__str__` https://github.com/willmcgugan/rich/issues/980 - Fixed markup edge case https://github.com/willmcgugan/rich/issues/987 -### Added +### Added - Added cheeky sponsorship request to test card - Added `quiet` argument to Console constructor @@ -515,7 +604,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [9.8.0] - 2021-01-11 -### Added +### Added - Added **rich_measure** for tree - Added rich.align.VerticalCenter @@ -604,7 +693,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [9.4.0] - 2020-12-12 -### Added +### Added - Added rich.live https://github.com/willmcgugan/rich/pull/382 - Added algin parameter to Rule and Console.rule @@ -613,7 +702,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Added style parameter to Console.log - Added rich.diagnose command -### Changed +### Changed - Table.add_row style argument now applies to entire line and not just cells - Added end_section parameter to Table.add_row to force a line underneath row @@ -624,7 +713,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [9.3.0] - 2020-12-1 -### Added +### Added - Added get_datetime parameter to Console, to allow for repeatable tests - Added get_time parameter to Console @@ -724,7 +813,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [8.0.0] - 2020-10-03 -### Added +### Added - Added Console.bell method - Added Set to types that Console.print will automatically pretty print @@ -749,7 +838,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Added Console.begin_capture, Console.end_capture and Console.capture - Added Table.title_justify and Table.caption_justify https://github.com/willmcgugan/rich/issues/301 -### Changed +### Changed - Improved formatting of exceptions - Enabled Rich exceptions in logging https://github.com/taliraj @@ -768,7 +857,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Added Text.remove_suffix - Added Text.append_tokens -### Changed +### Changed - Text.tabs_to_spaces was renamed to Text.expand_tabs, which works in place rather than returning a new instance - Renamed Column.index to Column.\_index @@ -1052,7 +1141,7 @@ Major version bump for a breaking change to `Text.stylize signature`, which corr ## [3.0.2] - 2020-07-02 -### Added +### Added - Added rich.styled.Styled class to apply styles to renderable - Table.add_row now has an optional style parameter @@ -1165,7 +1254,7 @@ Major version bump for a breaking change to `Text.stylize signature`, which corr - Added 'transient' option to Progress -### Changed +### Changed - Truncated overly long text in Rule with ellipsis overflow @@ -1287,7 +1376,7 @@ Major version bump for a breaking change to `Text.stylize signature`, which corr - Optimizations for Segment, Console and Table -### Added +### Added - Added Console.clear method - Added exporting of links to HTML @@ -1309,7 +1398,7 @@ Major version bump for a breaking change to `Text.stylize signature`, which corr ## [1.1.6] - 2020-05-17 -### Added +### Added - Added rich.align.Align class - Added justify argument to Console.print and console.log @@ -1328,7 +1417,7 @@ Major version bump for a breaking change to `Text.stylize signature`, which corr - Fixes for legacy windows: Bar, Panel, and Rule now use ASCII characters - show_cursor is now a no-op on legacy windows -### Added +### Added - Added Console.input @@ -1630,142 +1719,147 @@ Major version bump for a breaking change to `Text.stylize signature`, which corr - First official release, API still to be stabilized +[unreleased]: https://github.com/willmcgugan/rich/compare/v12.3.0...HEAD +[12.3.0]: https://github.com/willmcgugan/rich/compare/v12.2.0...v12.3.0 +[12.2.0]: https://github.com/willmcgugan/rich/compare/v12.1.0...v12.2.0 +[12.1.0]: https://github.com/willmcgugan/rich/compare/v12.0.1...v12.1.0 +[12.0.1]: https://github.com/willmcgugan/rich/compare/v12.0.0...v12.0.1 +[12.0.0]: https://github.com/willmcgugan/rich/compare/v11.2.0...v12.0.0 [11.2.0]: https://github.com/willmcgugan/rich/compare/v11.1.0...v11.2.0 [11.1.0]: https://github.com/willmcgugan/rich/compare/v11.0.0...v11.1.0 [11.0.0]: https://github.com/willmcgugan/rich/compare/v10.16.1...v11.0.0 +[10.16.2]: https://github.com/willmcgugan/rich/compare/v10.16.1...v10.16.2 [10.16.1]: https://github.com/willmcgugan/rich/compare/v10.16.0...v10.16.1 [10.16.0]: https://github.com/willmcgugan/rich/compare/v10.15.2...v10.16.0 [10.15.2]: https://github.com/willmcgugan/rich/compare/v10.15.1...v10.15.2 [10.15.1]: https://github.com/willmcgugan/rich/compare/v10.15.0...v10.15.1 -[10.14.0]: https://github.com/willmcgugan/rich/compare/v10.14.0...v10.15.0 -[10.13.0]: https://github.com/willmcgugan/rich/compare/v10.13.0...v10.14.0 -[10.12.0]: https://github.com/willmcgugan/rich/compare/v10.12.0...v10.13.0 -[10.11.0]: https://github.com/willmcgugan/rich/compare/v10.11.0...v10.12.0 -[10.10.0]: https://github.com/willmcgugan/rich/compare/v10.10.0...v10.11.0 -[10.9.0]: https://github.com/willmcgugan/rich/compare/v10.9.0...v10.10.0 -[10.8.0]: https://github.com/willmcgugan/rich/compare/v10.8.0...v10.9.0 -[10.7.0]: https://github.com/willmcgugan/rich/compare/v10.7.0...v10.8.0 -[10.6.0]: https://github.com/willmcgugan/rich/compare/v10.6.0...v10.7.0 -[10.5.0]: https://github.com/willmcgugan/rich/compare/v10.5.0...v10.6.0 -[10.4.0]: https://github.com/willmcgugan/rich/compare/v10.4.0...v10.5.0 -[10.3.0]: https://github.com/willmcgugan/rich/compare/v10.3.0...v10.4.0 -[10.2.2]: https://github.com/willmcgugan/rich/compare/v10.2.2...v10.3.0 -[10.2.1]: https://github.com/willmcgugan/rich/compare/v10.2.1...v10.2.2 -[10.2.0]: https://github.com/willmcgugan/rich/compare/v10.2.0...v10.2.1 -[10.1.0]: https://github.com/willmcgugan/rich/compare/v10.1.0...v10.2.0 -[10.0.1]: https://github.com/willmcgugan/rich/compare/v10.0.1...v10.1.0 -[10.0.0]: https://github.com/willmcgugan/rich/compare/v10.0.0...v10.0.1 -[9.13.0]: https://github.com/willmcgugan/rich/compare/v9.13.0...v10.0.0 -[9.12.4]: https://github.com/willmcgugan/rich/compare/v9.12.4...v9.13.0 -[9.12.3]: https://github.com/willmcgugan/rich/compare/v9.12.3...v9.12.4 -[9.12.2]: https://github.com/willmcgugan/rich/compare/v9.12.2...v9.12.3 -[9.12.1]: https://github.com/willmcgugan/rich/compare/v9.12.1...v9.12.2 -[9.12.0]: https://github.com/willmcgugan/rich/compare/v9.12.0...v9.12.1 -[9.11.1]: https://github.com/willmcgugan/rich/compare/v9.11.1...v9.12.0 -[9.11.0]: https://github.com/willmcgugan/rich/compare/v9.11.0...v9.11.1 -[9.10.0]: https://github.com/willmcgugan/rich/compare/v9.10.0...v9.11.0 -[9.9.0]: https://github.com/willmcgugan/rich/compare/v9.9.0...v9.10.0 -[9.8.2]: https://github.com/willmcgugan/rich/compare/v9.8.2...v9.9.0 -[9.8.1]: https://github.com/willmcgugan/rich/compare/v9.8.1...v9.8.2 -[9.8.0]: https://github.com/willmcgugan/rich/compare/v9.8.0...v9.8.1 -[9.7.0]: https://github.com/willmcgugan/rich/compare/v9.7.0...v9.8.0 -[9.6.2]: https://github.com/willmcgugan/rich/compare/v9.6.2...v9.7.0 -[9.6.1]: https://github.com/willmcgugan/rich/compare/v9.6.1...v9.6.2 -[9.6.0]: https://github.com/willmcgugan/rich/compare/v9.6.0...v9.6.1 -[9.5.1]: https://github.com/willmcgugan/rich/compare/v9.5.1...v9.6.0 -[9.5.0]: https://github.com/willmcgugan/rich/compare/v9.5.0...v9.5.1 -[9.4.0]: https://github.com/willmcgugan/rich/compare/v9.4.0...v9.5.0 -[9.3.0]: https://github.com/willmcgugan/rich/compare/v9.3.0...v9.4.0 -[9.2.0]: https://github.com/willmcgugan/rich/compare/v9.2.0...v9.3.0 -[9.1.0]: https://github.com/willmcgugan/rich/compare/v9.1.0...v9.2.0 -[9.0.1]: https://github.com/willmcgugan/rich/compare/v9.0.1...v9.1.0 -[9.0.0]: https://github.com/willmcgugan/rich/compare/v9.0.0...v9.0.1 -[8.0.0]: https://github.com/willmcgugan/rich/compare/v8.0.0...v9.0.0 -[7.1.0]: https://github.com/willmcgugan/rich/compare/v7.1.0...v8.0.0 -[7.0.0]: https://github.com/willmcgugan/rich/compare/v7.0.0...v7.1.0 -[6.2.0]: https://github.com/willmcgugan/rich/compare/v6.2.0...v7.0.0 -[6.1.2]: https://github.com/willmcgugan/rich/compare/v6.1.2...v6.2.0 -[6.1.1]: https://github.com/willmcgugan/rich/compare/v6.1.1...v6.1.2 -[6.1.0]: https://github.com/willmcgugan/rich/compare/v6.1.0...v6.1.1 -[6.0.0]: https://github.com/willmcgugan/rich/compare/v6.0.0...v6.1.0 -[5.2.1]: https://github.com/willmcgugan/rich/compare/v5.2.1...v6.0.0 -[5.2.0]: https://github.com/willmcgugan/rich/compare/v5.2.0...v5.2.1 -[5.1.2]: https://github.com/willmcgugan/rich/compare/v5.1.2...v5.2.0 -[5.1.1]: https://github.com/willmcgugan/rich/compare/v5.1.1...v5.1.2 -[5.1.0]: https://github.com/willmcgugan/rich/compare/v5.1.0...v5.1.1 -[5.0.0]: https://github.com/willmcgugan/rich/compare/v5.0.0...v5.1.0 -[4.2.2]: https://github.com/willmcgugan/rich/compare/v4.2.2...v5.0.0 -[4.2.1]: https://github.com/willmcgugan/rich/compare/v4.2.1...v4.2.2 -[4.2.0]: https://github.com/willmcgugan/rich/compare/v4.2.0...v4.2.1 -[4.1.0]: https://github.com/willmcgugan/rich/compare/v4.1.0...v4.2.0 -[4.0.0]: https://github.com/willmcgugan/rich/compare/v4.0.0...v4.1.0 -[3.4.1]: https://github.com/willmcgugan/rich/compare/v3.4.1...v4.0.0 -[3.4.0]: https://github.com/willmcgugan/rich/compare/v3.4.0...v3.4.1 -[3.3.2]: https://github.com/willmcgugan/rich/compare/v3.3.2...v3.4.0 -[3.3.1]: https://github.com/willmcgugan/rich/compare/v3.3.1...v3.3.2 -[3.3.0]: https://github.com/willmcgugan/rich/compare/v3.3.0...v3.3.1 -[3.2.0]: https://github.com/willmcgugan/rich/compare/v3.2.0...v3.3.0 -[3.1.0]: https://github.com/willmcgugan/rich/compare/v3.1.0...v3.2.0 -[3.0.5]: https://github.com/willmcgugan/rich/compare/v3.0.5...v3.1.0 -[3.0.4]: https://github.com/willmcgugan/rich/compare/v3.0.4...v3.0.5 -[3.0.3]: https://github.com/willmcgugan/rich/compare/v3.0.3...v3.0.4 -[3.0.2]: https://github.com/willmcgugan/rich/compare/v3.0.2...v3.0.3 -[3.0.1]: https://github.com/willmcgugan/rich/compare/v3.0.1...v3.0.2 -[3.0.0]: https://github.com/willmcgugan/rich/compare/v3.0.0...v3.0.1 -[2.3.1]: https://github.com/willmcgugan/rich/compare/v2.3.1...v3.0.0 -[2.3.0]: https://github.com/willmcgugan/rich/compare/v2.3.0...v2.3.1 -[2.2.6]: https://github.com/willmcgugan/rich/compare/v2.2.6...v2.3.0 -[2.2.5]: https://github.com/willmcgugan/rich/compare/v2.2.5...v2.2.6 -[2.2.4]: https://github.com/willmcgugan/rich/compare/v2.2.4...v2.2.5 -[2.2.3]: https://github.com/willmcgugan/rich/compare/v2.2.3...v2.2.4 -[2.2.2]: https://github.com/willmcgugan/rich/compare/v2.2.2...v2.2.3 -[2.2.1]: https://github.com/willmcgugan/rich/compare/v2.2.1...v2.2.2 -[2.2.0]: https://github.com/willmcgugan/rich/compare/v2.2.0...v2.2.1 -[2.1.0]: https://github.com/willmcgugan/rich/compare/v2.1.0...v2.2.0 -[2.0.1]: https://github.com/willmcgugan/rich/compare/v2.0.1...v2.1.0 -[2.0.0]: https://github.com/willmcgugan/rich/compare/v2.0.0...v2.0.1 -[1.3.1]: https://github.com/willmcgugan/rich/compare/v1.3.1...v2.0.0 -[1.3.0]: https://github.com/willmcgugan/rich/compare/v1.3.0...v1.3.1 -[1.2.3]: https://github.com/willmcgugan/rich/compare/v1.2.3...v1.3.0 -[1.2.2]: https://github.com/willmcgugan/rich/compare/v1.2.2...v1.2.3 -[1.2.1]: https://github.com/willmcgugan/rich/compare/v1.2.1...v1.2.2 -[1.2.0]: https://github.com/willmcgugan/rich/compare/v1.2.0...v1.2.1 -[1.1.9]: https://github.com/willmcgugan/rich/compare/v1.1.9...v1.2.0 -[1.1.8]: https://github.com/willmcgugan/rich/compare/v1.1.8...v1.1.9 -[1.1.7]: https://github.com/willmcgugan/rich/compare/v1.1.7...v1.1.8 -[1.1.6]: https://github.com/willmcgugan/rich/compare/v1.1.6...v1.1.7 -[1.1.5]: https://github.com/willmcgugan/rich/compare/v1.1.5...v1.1.6 -[1.1.4]: https://github.com/willmcgugan/rich/compare/v1.1.4...v1.1.5 -[1.1.3]: https://github.com/willmcgugan/rich/compare/v1.1.3...v1.1.4 -[1.1.2]: https://github.com/willmcgugan/rich/compare/v1.1.2...v1.1.3 -[1.1.1]: https://github.com/willmcgugan/rich/compare/v1.1.1...v1.1.2 -[1.1.0]: https://github.com/willmcgugan/rich/compare/v1.1.0...v1.1.1 -[1.0.3]: https://github.com/willmcgugan/rich/compare/v1.0.3...v1.1.0 -[1.0.2]: https://github.com/willmcgugan/rich/compare/v1.0.2...v1.0.3 -[1.0.1]: https://github.com/willmcgugan/rich/compare/v1.0.1...v1.0.2 -[1.0.0]: https://github.com/willmcgugan/rich/compare/v1.0.0...v1.0.1 -[0.8.13]: https://github.com/willmcgugan/rich/compare/v0.8.13...v1.0.0 -[0.8.12]: https://github.com/willmcgugan/rich/compare/v0.8.12...v0.8.13 -[0.8.11]: https://github.com/willmcgugan/rich/compare/v0.8.11...v0.8.12 -[0.8.10]: https://github.com/willmcgugan/rich/compare/v0.8.10...v0.8.11 -[0.8.9]: https://github.com/willmcgugan/rich/compare/v0.8.9...v0.8.10 -[0.8.8]: https://github.com/willmcgugan/rich/compare/v0.8.8...v0.8.9 -[0.8.7]: https://github.com/willmcgugan/rich/compare/v0.8.7...v0.8.8 -[0.8.6]: https://github.com/willmcgugan/rich/compare/v0.8.6...v0.8.7 -[0.8.5]: https://github.com/willmcgugan/rich/compare/v0.8.5...v0.8.6 -[0.8.4]: https://github.com/willmcgugan/rich/compare/v0.8.4...v0.8.5 -[0.8.3]: https://github.com/willmcgugan/rich/compare/v0.8.3...v0.8.4 -[0.8.2]: https://github.com/willmcgugan/rich/compare/v0.8.2...v0.8.3 -[0.8.1]: https://github.com/willmcgugan/rich/compare/v0.8.1...v0.8.2 -[0.8.0]: https://github.com/willmcgugan/rich/compare/v0.8.0...v0.8.1 -[0.7.2]: https://github.com/willmcgugan/rich/compare/v0.7.2...v0.8.0 -[0.7.1]: https://github.com/willmcgugan/rich/compare/v0.7.1...v0.7.2 -[0.7.0]: https://github.com/willmcgugan/rich/compare/v0.7.0...v0.7.1 -[0.6.0]: https://github.com/willmcgugan/rich/compare/v0.6.0...v0.7.0 -[0.5.0]: https://github.com/willmcgugan/rich/compare/v0.5.0...v0.6.0 -[0.4.1]: https://github.com/willmcgugan/rich/compare/v0.4.1...v0.5.0 -[0.4.0]: https://github.com/willmcgugan/rich/compare/v0.4.0...v0.4.1 -[0.3.3]: https://github.com/willmcgugan/rich/compare/v0.3.3...v0.4.0 -[0.3.2]: https://github.com/willmcgugan/rich/compare/v0.3.2...v0.3.3 -[0.3.1]: https://github.com/willmcgugan/rich/compare/v0.3.1...v0.3.2 -[0.3.0]: https://github.com/willmcgugan/rich/compare/v0.3.0...v0.3.1 +[10.15.0]: https://github.com/willmcgugan/rich/compare/v10.14.0...v10.15.0 +[10.14.0]: https://github.com/willmcgugan/rich/compare/v10.13.0...v10.14.0 +[10.13.0]: https://github.com/willmcgugan/rich/compare/v10.12.0...v10.13.0 +[10.12.0]: https://github.com/willmcgugan/rich/compare/v10.11.0...v10.12.0 +[10.11.0]: https://github.com/willmcgugan/rich/compare/v10.10.0...v10.11.0 +[10.10.0]: https://github.com/willmcgugan/rich/compare/v10.9.0...v10.10.0 +[10.9.0]: https://github.com/willmcgugan/rich/compare/v10.8.0...v10.9.0 +[10.8.0]: https://github.com/willmcgugan/rich/compare/v10.7.0...v10.8.0 +[10.7.0]: https://github.com/willmcgugan/rich/compare/v10.6.0...v10.7.0 +[10.6.0]: https://github.com/willmcgugan/rich/compare/v10.5.0...v10.6.0 +[10.5.0]: https://github.com/willmcgugan/rich/compare/v10.4.0...v10.5.0 +[10.4.0]: https://github.com/willmcgugan/rich/compare/v10.3.0...v10.4.0 +[10.3.0]: https://github.com/willmcgugan/rich/compare/v10.2.2...v10.3.0 +[10.2.2]: https://github.com/willmcgugan/rich/compare/v10.2.1...v10.2.2 +[10.2.1]: https://github.com/willmcgugan/rich/compare/v10.2.0...v10.2.1 +[10.2.0]: https://github.com/willmcgugan/rich/compare/v10.1.0...v10.2.0 +[10.1.0]: https://github.com/willmcgugan/rich/compare/v10.0.1...v10.1.0 +[10.0.1]: https://github.com/willmcgugan/rich/compare/v10.0.0...v10.0.1 +[10.0.0]: https://github.com/willmcgugan/rich/compare/v9.13.0...v10.0.0 +[9.13.0]: https://github.com/willmcgugan/rich/compare/v9.12.4...v9.13.0 +[9.12.4]: https://github.com/willmcgugan/rich/compare/v9.12.3...v9.12.4 +[9.12.3]: https://github.com/willmcgugan/rich/compare/v9.12.2...v9.12.3 +[9.12.2]: https://github.com/willmcgugan/rich/compare/v9.12.1...v9.12.2 +[9.12.1]: https://github.com/willmcgugan/rich/compare/v9.12.0...v9.12.1 +[9.12.0]: https://github.com/willmcgugan/rich/compare/v9.11.1...v9.12.0 +[9.11.1]: https://github.com/willmcgugan/rich/compare/v9.11.0...v9.11.1 +[9.11.0]: https://github.com/willmcgugan/rich/compare/v9.10.0...v9.11.0 +[9.10.0]: https://github.com/willmcgugan/rich/compare/v9.9.0...v9.10.0 +[9.9.0]: https://github.com/willmcgugan/rich/compare/v9.8.2...v9.9.0 +[9.8.2]: https://github.com/willmcgugan/rich/compare/v9.8.1...v9.8.2 +[9.8.1]: https://github.com/willmcgugan/rich/compare/v9.8.0...v9.8.1 +[9.8.0]: https://github.com/willmcgugan/rich/compare/v9.7.0...v9.8.0 +[9.7.0]: https://github.com/willmcgugan/rich/compare/v9.6.2...v9.7.0 +[9.6.2]: https://github.com/willmcgugan/rich/compare/v9.6.1...v9.6.2 +[9.6.1]: https://github.com/willmcgugan/rich/compare/v9.6.0...v9.6.1 +[9.6.0]: https://github.com/willmcgugan/rich/compare/v9.5.1...v9.6.0 +[9.5.1]: https://github.com/willmcgugan/rich/compare/v9.5.0...v9.5.1 +[9.5.0]: https://github.com/willmcgugan/rich/compare/v9.4.0...v9.5.0 +[9.4.0]: https://github.com/willmcgugan/rich/compare/v9.3.0...v9.4.0 +[9.3.0]: https://github.com/willmcgugan/rich/compare/v9.2.0...v9.3.0 +[9.2.0]: https://github.com/willmcgugan/rich/compare/v9.1.0...v9.2.0 +[9.1.0]: https://github.com/willmcgugan/rich/compare/v9.0.1...v9.1.0 +[9.0.1]: https://github.com/willmcgugan/rich/compare/v9.0.0...v9.0.1 +[9.0.0]: https://github.com/willmcgugan/rich/compare/v8.0.0...v9.0.0 +[8.0.0]: https://github.com/willmcgugan/rich/compare/v7.1.0...v8.0.0 +[7.1.0]: https://github.com/willmcgugan/rich/compare/v7.0.0...v7.1.0 +[7.0.0]: https://github.com/willmcgugan/rich/compare/v6.2.0...v7.0.0 +[6.2.0]: https://github.com/willmcgugan/rich/compare/v6.1.2...v6.2.0 +[6.1.2]: https://github.com/willmcgugan/rich/compare/v6.1.1...v6.1.2 +[6.1.1]: https://github.com/willmcgugan/rich/compare/v6.1.0...v6.1.1 +[6.1.0]: https://github.com/willmcgugan/rich/compare/v6.0.0...v6.1.0 +[6.0.0]: https://github.com/willmcgugan/rich/compare/v5.2.1...v6.0.0 +[5.2.1]: https://github.com/willmcgugan/rich/compare/v5.2.0...v5.2.1 +[5.2.0]: https://github.com/willmcgugan/rich/compare/v5.1.2...v5.2.0 +[5.1.2]: https://github.com/willmcgugan/rich/compare/v5.1.1...v5.1.2 +[5.1.1]: https://github.com/willmcgugan/rich/compare/v5.1.0...v5.1.1 +[5.1.0]: https://github.com/willmcgugan/rich/compare/v5.0.0...v5.1.0 +[5.0.0]: https://github.com/willmcgugan/rich/compare/v4.2.2...v5.0.0 +[4.2.2]: https://github.com/willmcgugan/rich/compare/v4.2.1...v4.2.2 +[4.2.1]: https://github.com/willmcgugan/rich/compare/v4.2.0...v4.2.1 +[4.2.0]: https://github.com/willmcgugan/rich/compare/v4.1.0...v4.2.0 +[4.1.0]: https://github.com/willmcgugan/rich/compare/v4.0.0...v4.1.0 +[4.0.0]: https://github.com/willmcgugan/rich/compare/v3.4.1...v4.0.0 +[3.4.1]: https://github.com/willmcgugan/rich/compare/v3.4.0...v3.4.1 +[3.4.0]: https://github.com/willmcgugan/rich/compare/v3.3.2...v3.4.0 +[3.3.2]: https://github.com/willmcgugan/rich/compare/v3.3.1...v3.3.2 +[3.3.1]: https://github.com/willmcgugan/rich/compare/v3.3.0...v3.3.1 +[3.3.0]: https://github.com/willmcgugan/rich/compare/v3.2.0...v3.3.0 +[3.2.0]: https://github.com/willmcgugan/rich/compare/v3.1.0...v3.2.0 +[3.1.0]: https://github.com/willmcgugan/rich/compare/v3.0.5...v3.1.0 +[3.0.5]: https://github.com/willmcgugan/rich/compare/v3.0.4...v3.0.5 +[3.0.4]: https://github.com/willmcgugan/rich/compare/v3.0.3...v3.0.4 +[3.0.3]: https://github.com/willmcgugan/rich/compare/v3.0.2...v3.0.3 +[3.0.2]: https://github.com/willmcgugan/rich/compare/v3.0.1...v3.0.2 +[3.0.1]: https://github.com/willmcgugan/rich/compare/v3.0.0...v3.0.1 +[3.0.0]: https://github.com/willmcgugan/rich/compare/v2.3.1...v3.0.0 +[2.3.1]: https://github.com/willmcgugan/rich/compare/v2.3.0...v2.3.1 +[2.3.0]: https://github.com/willmcgugan/rich/compare/v2.2.6...v2.3.0 +[2.2.6]: https://github.com/willmcgugan/rich/compare/v2.2.5...v2.2.6 +[2.2.5]: https://github.com/willmcgugan/rich/compare/v2.2.4...v2.2.5 +[2.2.4]: https://github.com/willmcgugan/rich/compare/v2.2.3...v2.2.4 +[2.2.3]: https://github.com/willmcgugan/rich/compare/v2.2.2...v2.2.3 +[2.2.2]: https://github.com/willmcgugan/rich/compare/v2.2.1...v2.2.2 +[2.2.1]: https://github.com/willmcgugan/rich/compare/v2.2.0...v2.2.1 +[2.2.0]: https://github.com/willmcgugan/rich/compare/v2.1.0...v2.2.0 +[2.1.0]: https://github.com/willmcgugan/rich/compare/v2.0.1...v2.1.0 +[2.0.1]: https://github.com/willmcgugan/rich/compare/v2.0.0...v2.0.1 +[2.0.0]: https://github.com/willmcgugan/rich/compare/v1.3.1...v2.0.0 +[1.3.1]: https://github.com/willmcgugan/rich/compare/v1.3.0...v1.3.1 +[1.3.0]: https://github.com/willmcgugan/rich/compare/v1.2.3...v1.3.0 +[1.2.3]: https://github.com/willmcgugan/rich/compare/v1.2.2...v1.2.3 +[1.2.2]: https://github.com/willmcgugan/rich/compare/v1.2.1...v1.2.2 +[1.2.1]: https://github.com/willmcgugan/rich/compare/v1.2.0...v1.2.1 +[1.2.0]: https://github.com/willmcgugan/rich/compare/v1.1.9...v1.2.0 +[1.1.9]: https://github.com/willmcgugan/rich/compare/v1.1.8...v1.1.9 +[1.1.8]: https://github.com/willmcgugan/rich/compare/v1.1.7...v1.1.8 +[1.1.7]: https://github.com/willmcgugan/rich/compare/v1.1.6...v1.1.7 +[1.1.6]: https://github.com/willmcgugan/rich/compare/v1.1.5...v1.1.6 +[1.1.5]: https://github.com/willmcgugan/rich/compare/v1.1.4...v1.1.5 +[1.1.4]: https://github.com/willmcgugan/rich/compare/v1.1.3...v1.1.4 +[1.1.3]: https://github.com/willmcgugan/rich/compare/v1.1.2...v1.1.3 +[1.1.2]: https://github.com/willmcgugan/rich/compare/v1.1.1...v1.1.2 +[1.1.1]: https://github.com/willmcgugan/rich/compare/v1.1.0...v1.1.1 +[1.1.0]: https://github.com/willmcgugan/rich/compare/v1.0.3...v1.1.0 +[1.0.3]: https://github.com/willmcgugan/rich/compare/v1.0.2...v1.0.3 +[1.0.2]: https://github.com/willmcgugan/rich/compare/v1.0.1...v1.0.2 +[1.0.1]: https://github.com/willmcgugan/rich/compare/v1.0.0...v1.0.1 +[1.0.0]: https://github.com/willmcgugan/rich/compare/v0.8.13...v1.0.0 +[0.8.13]: https://github.com/willmcgugan/rich/compare/v0.8.12...v0.8.13 +[0.8.12]: https://github.com/willmcgugan/rich/compare/v0.8.11...v0.8.12 +[0.8.11]: https://github.com/willmcgugan/rich/compare/v0.8.10...v0.8.11 +[0.8.10]: https://github.com/willmcgugan/rich/compare/v0.8.9...v0.8.10 +[0.8.9]: https://github.com/willmcgugan/rich/compare/v0.8.8...v0.8.9 +[0.8.8]: https://github.com/willmcgugan/rich/compare/v0.8.7...v0.8.8 +[0.8.7]: https://github.com/willmcgugan/rich/compare/v0.8.6...v0.8.7 +[0.8.6]: https://github.com/willmcgugan/rich/compare/v0.8.5...v0.8.6 +[0.8.5]: https://github.com/willmcgugan/rich/compare/v0.8.4...v0.8.5 +[0.8.4]: https://github.com/willmcgugan/rich/compare/v0.8.3...v0.8.4 +[0.8.3]: https://github.com/willmcgugan/rich/compare/v0.8.2...v0.8.3 +[0.8.2]: https://github.com/willmcgugan/rich/compare/v0.8.1...v0.8.2 +[0.8.1]: https://github.com/willmcgugan/rich/compare/v0.8.0...v0.8.1 +[0.8.0]: https://github.com/willmcgugan/rich/compare/v0.7.2...v0.8.0 +[0.7.2]: https://github.com/willmcgugan/rich/compare/v0.7.1...v0.7.2 +[0.7.1]: https://github.com/willmcgugan/rich/compare/v0.7.0...v0.7.1 +[0.7.0]: https://github.com/willmcgugan/rich/compare/v0.6.0...v0.7.0 +[0.6.0]: https://github.com/willmcgugan/rich/compare/v0.5.0...v0.6.0 +[0.5.0]: https://github.com/willmcgugan/rich/compare/v0.4.1...v0.5.0 +[0.4.1]: https://github.com/willmcgugan/rich/compare/v0.4.0...v0.4.1 +[0.4.0]: https://github.com/willmcgugan/rich/compare/v0.3.3...v0.4.0 +[0.3.3]: https://github.com/willmcgugan/rich/compare/v0.3.2...v0.3.3 diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md index 0c0f891fdc..c24f21b1a6 100644 --- a/CONTRIBUTORS.md +++ b/CONTRIBUTORS.md @@ -4,27 +4,39 @@ The following people have contributed to the development of Rich: +- [Patrick Arminio](https://github.com/patrick91) - [Gregory Beauregard](https://github.com/GBeauregard/pyffstream) +- [Dennis Brakhane](https://github.com/brakhane) - [Darren Burns](https://github.com/darrenburns) +- [Ed Davis](https://github.com/davised) - [Pete Davison](https://github.com/pd93) - [James Estevez](https://github.com/jstvz) - [Oleksis Fraga](https://github.com/oleksis) +- [Michał Górny](https://github.com/mgorny) +- [Leron Gray](https://github.com/daddycocoaman) - [Kenneth Hoste](https://github.com/boegel) - [Finn Hughes](https://github.com/finnhughes) - [Josh Karpel](https://github.com/JoshKarpel) - [Andrew Kettmann](https://github.com/akettmann) +- [Martin Larralde](https://github.com/althonos) - [Hedy Li](https://github.com/hedythedev) +- [Luka Mamukashvili](https://github.com/UltraStudioLTD) - [Alexander Mancevice](https://github.com/amancevice) - [Will McGugan](https://github.com/willmcgugan) - [Paul McGuire](https://github.com/ptmcg) - [Nathan Page](https://github.com/nathanrpage97) - [Avi Perl](https://github.com/avi-perl) - [Laurent Peuch](https://github.com/psycojoker) +- [Olivier Philippon](https://github.com/DrBenton) - [Kylian Point](https://github.com/p0lux) - [Kyle Pollina](https://github.com/kylepollina) - [Clément Robert](https://github.com/neutrinoceros) +- [Brian Rutledge](https://github.com/bhrutledge) - [Tushar Sadhwani](https://github.com/tusharsadhwani) +- [Paul Sanders](https://github.com/sanders41) - [Tim Savage](https://github.com/timsavage) - [Nicolas Simonds](https://github.com/0xDEC0DE) +- [Aaron Stephens](https://github.com/aaronst) - [Gabriele N. Tornetta](https://github.com/p403n1x87) -- [Patrick Arminio](https://github.com/patrick91) +- [Arian Mollik Wasi](https://github.com/wasi-master) +- [Handhika Yanuar Pratama](https://github.com/theDreamer911) diff --git a/Makefile b/Makefile index 17ede92638..1183bc00c8 100644 --- a/Makefile +++ b/Makefile @@ -5,9 +5,9 @@ format-check: format: black . typecheck: - mypy -p rich --strict --no-incremental + mypy -p rich --no-incremental typecheck-report: - mypy -p rich --strict --html-report mypy_report + mypy -p rich --html-report mypy_report .PHONY: docs docs: cd docs; make html diff --git a/README.de-ch.md b/README.de-ch.md index 6c1d7d278b..c5413808e3 100644 --- a/README.de-ch.md +++ b/README.de-ch.md @@ -33,7 +33,7 @@ Lueg was [anderi öber Rich säged](https://www.willmcgugan.com/blog/pages/post/ ## Kompatibilität -Rich funktioniert mit Linux, OSX ond Windows. True color / emoji funktioniert mit em neue Windows Törminäl, s klassische Törminäl isch of 16 Farbe limitiärt. Rich brucht Python 3.6.1 oder neuer. +Rich funktioniert mit Linux, OSX ond Windows. True color / emoji funktioniert mit em neue Windows Törminäl, s klassische Törminäl isch of 16 Farbe limitiärt. Rich brucht Python 3.6.3 oder neuer. Rich funktioniert mit [Jupyter notebooks](https://jupyter.org/) ohni irgendwelchä zuäsätzloche konfiguration. @@ -76,7 +76,7 @@ Rich cha i de Python REPL installiert werde so dass irgend e Datestruktuur hübs ## Console bruchä -Für meh kontrolle öber de Törminäl inhalt, importiär und instanziär e [Console](https://rich.readthedocs.io/en/latest/reference/console.html#rich.console.Console) Objekt. +Für meh kontrolle öber de Törminäl inhalt, importiär und instanziär e [Console](https://rich.readthedocs.io/en/latest/reference/console.html#rich.console.Console) Objekt. ```python from rich.console import Console diff --git a/README.de.md b/README.de.md index 34a99a64e8..c14a61b699 100644 --- a/README.de.md +++ b/README.de.md @@ -33,7 +33,7 @@ Schau hier, was [andere über Rich sagen](https://www.willmcgugan.com/blog/pages ## Kompatibilität -Rich läuft unter Linux, OSX und Windows. True Color / Emoji funktionieren mit dem neuen Windows-Terminal. Das klassische Terminal ist auf 16 Farben beschränkt. Rich benötigt Python 3.6.1 oder höher. +Rich läuft unter Linux, OSX und Windows. True Color / Emoji funktionieren mit dem neuen Windows-Terminal. Das klassische Terminal ist auf 16 Farben beschränkt. Rich benötigt Python 3.6.3 oder höher. Rich funktioniert ohne zusätzliche Konfiguration mit [Jupyter Notebooks](https://jupyter.org/). diff --git a/README.es.md b/README.es.md index c9cb2af141..99cdb63600 100644 --- a/README.es.md +++ b/README.es.md @@ -33,7 +33,7 @@ Vea lo que [la gente dice sobre Rich](https://www.willmcgugan.com/blog/pages/pos ## Compatibilidad -Rich funciona con Linux, OSX y Windows. True color / emoji funciona con la nueva Terminal de Windows, la terminal clásica está limitada a 8 colores. Rich requiere Python 3.6.1 o posterior. +Rich funciona con Linux, OSX y Windows. True color / emoji funciona con la nueva Terminal de Windows, la terminal clásica está limitada a 8 colores. Rich requiere Python 3.6.3 o posterior. Rich funciona con [Jupyter notebooks](https://jupyter.org/) sin necesidad de configuración adicional. diff --git a/README.fr.md b/README.fr.md index 1a09c054a1..0b1d092dfe 100644 --- a/README.fr.md +++ b/README.fr.md @@ -33,7 +33,7 @@ Voyez ce que [les gens disent de Rich](https://www.willmcgugan.com/blog/pages/po ## Compatibilité -Rich fonctionne avec Linux, OSX et Windows. True color / emoji fonctionne avec le nouveau Terminal Windows, le terminal classique est limité à 16 couleurs. Rich nécessite Python 3.6.1 ou plus. +Rich fonctionne avec Linux, OSX et Windows. True color / emoji fonctionne avec le nouveau Terminal Windows, le terminal classique est limité à 16 couleurs. Rich nécessite Python 3.6.3 ou plus. Rich fonctionne avec les notebooks Jupyter sans configuration supplémentaire. @@ -126,7 +126,7 @@ Rich possède une fonction [inspect](https://rich.readthedocs.io/en/latest/refer Consultez la [documentation d'inspect](https://rich.readthedocs.io/en/latest/reference/init.html#rich.inspect) pour plus de détails. -## Bibliothèque Rich +## Bibliothèque Rich Rich contient un certain nombre _d'éléments de rendu_ intégrés que vous pouvez utiliser pour créer une sortie élégante dans votre CLI et vous aider à déboguer votre code. Cliquez sur les rubriques suivantes pour plus de détails : diff --git a/README.id.md b/README.id.md new file mode 100644 index 0000000000..165b27c38e --- /dev/null +++ b/README.id.md @@ -0,0 +1,462 @@ +[![Supported Python Versions](https://img.shields.io/pypi/pyversions/rich/10.11.0)](https://pypi.org/project/rich/) [![PyPI version](https://badge.fury.io/py/rich.svg)](https://badge.fury.io/py/rich) + +[![Downloads](https://pepy.tech/badge/rich/month)](https://pepy.tech/project/rich) +[![codecov](https://img.shields.io/codecov/c/github/Textualize/rich?label=codecov&logo=codecov)](https://codecov.io/gh/willmcgugan/rich) +[![Rich blog](https://img.shields.io/badge/blog-rich%20news-yellowgreen)](https://www.willmcgugan.com/tag/rich/) +[![Twitter Follow](https://img.shields.io/twitter/follow/willmcgugan.svg?style=social)](https://twitter.com/willmcgugan) + +![Logo](https://github.com/willmcgugan/rich/raw/master/imgs/logo.svg) + +[English readme](https://github.com/willmcgugan/rich/blob/master/README.md) + • [简体中文 readme](https://github.com/willmcgugan/rich/blob/master/README.cn.md) + • [正體中文 readme](https://github.com/willmcgugan/rich/blob/master/README.zh-tw.md) + • [Lengua española readme](https://github.com/willmcgugan/rich/blob/master/README.es.md) + • [Deutsche readme](https://github.com/willmcgugan/rich/blob/master/README.de.md) + • [Läs på svenska](https://github.com/willmcgugan/rich/blob/master/README.sv.md) + • [日本語 readme](https://github.com/willmcgugan/rich/blob/master/README.ja.md) + • [한국어 readme](https://github.com/willmcgugan/rich/blob/master/README.kr.md) + • [Français readme](https://github.com/willmcgugan/rich/blob/master/README.fr.md) + • [Schwizerdütsch readme](https://github.com/willmcgugan/rich/blob/master/README.de-ch.md) + • [हिन्दी readme](https://github.com/willmcgugan/rich/blob/master/README.hi.md) + • [Português brasileiro readme](https://github.com/willmcgugan/rich/blob/master/README.pt-br.md) + • [Italian readme](https://github.com/willmcgugan/rich/blob/master/README.it.md) + • [Русский readme](https://github.com/willmcgugan/rich/blob/master/README.ru.md) + • [Indonesian readme](https://github.com/willmcgugan/rich/blob/master/README.id.md) + +Rich adalah library Python yang membantu _memperindah_ tampilan output suatu program di terminal. + +[Rich API](https://rich.readthedocs.io/en/latest/) dapat digunakan untuk mempermudah dalam penambahan gaya dan pewarnaan output di terminal. Rich juga mendukung fitur lain seperti pembuatan tabel, bar progress, penulisan markdown, penghighitan syntax source code, tracebacks, dan masih banyak lagi. + +![Features](https://github.com/willmcgugan/rich/raw/master/imgs/features.png) + +Sebagai pengenalan Rich saksikan video berikut [calmcode.io](https://calmcode.io/rich/introduction.html) oleh [@fishnets88](https://twitter.com/fishnets88). + +Lihat pendapat [pengguna yang telah menggunakan Rich](https://www.willmcgugan.com/blog/pages/post/rich-tweets/). + +## Kompabilitas + +Rich dapat berjalan di Linux, OSX, dan Windows. Warna tambahan / emoji dapat berjalan di Windows Terminal baru, untuk terminal lama pewarnaan terbatas ke dalam 16 warna. Rich memerlukan versi Python 3.6.3 atau ke atas. + +Rich dapat berjalan di [Jupyter notebooks](https://jupyter.org/) tanpa memerlukan konfigurasi tambahan. + +## Instalasi + +Install dengan `pip` atau paket manager favorit anda. + +```sh +python -m pip install rich +``` + +Jalankan perintah berikut untuk menguji Rich di terminal anda: + +```sh +python -m rich +``` + +## Rich Print + +Untuk menambahkan rich sebagai output program anda, lakukan import method [rich print](https://rich.readthedocs.io/en/latest/introduction.html#quick-start), yang memiliki signature sama dengan fungsi built-in Python. Coba jalankan program berikut: + +```python +from rich import print + +print("Hello, [bold magenta]World[/bold magenta]!", ":vampire:", locals()) +``` + +![Hello World](https://github.com/willmcgugan/rich/raw/master/imgs/print.png) + +## Rich REPL + +Rich dapat diinstal ke dalam Python REPL sehingga setiap struktur data akan ditampilkan dengan indah dan terhighlight. + +```python +>>> from rich import pretty +>>> pretty.install() +``` + +![REPL](https://github.com/willmcgugan/rich/raw/master/imgs/repl.png) + +## Penggunaan Console + +Untuk kontrol lebih terhadap konten terminal, lakukan import dan susun suatu [Console](https://rich.readthedocs.io/en/latest/reference/console.html#rich.console.Console) object. + +```python +from rich.console import Console + +console = Console() +``` + +Console object memiliki method `print` yang berfungsi serupa dengan built-in `print`. Berikut adalah contoh penggunaannya: + +```python +console.print("Hello", "World!") +``` + +Seperti yang anda perkirakan, perintah tersebut akan menampilkan `"Hello World!"` sebagai output di terminal. Catatan, perbedaan dengan fungsi built-in `print`, Rich membuat teks termampatkan disesuaikan dengan lebar terminal. + +Terdapat beberapa cara untuk melakukan penambahan warna dan gaya output dari program anda. Anda dapat mengatur keseluruhan output dengan menambahkan keyword argumen `style`. Berikut adalah contoh penerapannya: + +```python +console.print("Hello", "World!", style="bold red") +``` + +Output dari perintah tersebut akan tampak sebagai berikut: + +![Hello World](https://github.com/willmcgugan/rich/raw/master/imgs/hello_world.png) + +Melakukan perubahan tampilan teks output dalam satu waktu mungkin sudah baik. Tetapi untuk membuat tampilan lebih rapi, Rich mendukung fitur rendering menggunakan pemformatan spesial dimana syntaxnya serupa dengan [bbcode](https://en.wikipedia.org/wiki/BBCode). Berikut adalah contoh penerapannya: + +```python +console.print("Where there is a [bold cyan]Will[/bold cyan] there [u]is[/u] a [i]way[/i].") +``` + +![Console Markup](https://github.com/willmcgugan/rich/raw/master/imgs/where_there_is_a_will.png) + +Anda dapat menggunakan console object untuk menciptakan keluaran yang indah dengan usaha yang sedikit. Kunjungi [Console API](https://rich.readthedocs.io/en/latest/console.html) untuk informasi lebih lengkap. + +## Rich Inspect + +Rich memiliki fungsi [inspect](https://rich.readthedocs.io/en/latest/reference/init.html?highlight=inspect#rich.inspect) yang dapat membuat laporan untuk setiap Python object, seperti class, instance, atau built-in. + +```python +>>> my_list = ["foo", "bar"] +>>> from rich import inspect +>>> inspect(my_list, methods=True) +``` + +![Log](https://github.com/willmcgugan/rich/raw/master/imgs/inspect.png) + +Kunjungi [dokumentasi inspect](https://rich.readthedocs.io/en/latest/reference/init.html#rich.inspect) untuk detail lebih lanjut. + +# Rich Library + +Rich mengandung sejumlah built-in yang bersifat _renderables_, artinya anda dapat menciptakan output yang elegant pda program CLI anda serta dapat membantu dalam proses debugging program anda. + +Klik pilihan berikut untuk detail lebih lanjut: + +
+Log + +Console object mempunyai method bernama `log()` yang serupa dengan `print()`, tetapi juga mendukung fitur perenderan kolom waktu terkini serta baris file yang melakukan pemanggilan fungsi tertentu. Secara default Rich akan menghilight syntax untuk struktur python dan REPR strings. Jika anda melakukan log pada sekumpulan data (misal dictionary atau list) Rich akan memperindah output yang ditampilkan serta disesuaikan dengan ukuran terminal yang tersedia. Berikut adalah contoh penerapan dari beberapa fitur ini. + +```python +from rich.console import Console +console = Console() + +test_data = [ + {"jsonrpc": "2.0", "method": "sum", "params": [None, 1, 2, 4, False, True], "id": "1",}, + {"jsonrpc": "2.0", "method": "notify_hello", "params": [7]}, + {"jsonrpc": "2.0", "method": "subtract", "params": [42, 23], "id": "2"}, +] + +def test_log(): + enabled = False + context = { + "foo": "bar", + } + movies = ["Deadpool", "Rise of the Skywalker"] + console.log("Hello from", console, "!") + console.log(test_data, log_locals=True) + + +test_log() +``` + +Perintah di atas akan menampilkan output sebagai berikut: + +![Log](https://github.com/willmcgugan/rich/raw/master/imgs/log.png) + +Sebagai catatan, argumen `log_locals` berupa tabel yang berisikan variabel lokal yang menunjukkan lokasi dimana log tersebut dipanggil. + +Method log ini dapat digunakan untuk mencatat aktivitas terminal yang berjalan lama seperti servers, tetapi method ini juga sangat baik untuk membantu dalam proses debugging. + +
+
+Penanganan Logging + +Anda dapat juga menggunakan builtin [Handler class](https://rich.readthedocs.io/en/latest/logging.html) untuk memformat dan mewarnai output dari module logging Python. Berikut adalah contoh penerapannya: + +![Logging](https://github.com/willmcgugan/rich/raw/master/imgs/logging.png) + +
+ +
+Emoji + +Untuk menambahkan emoji sebagai output di console, tuliskan nama emoji diantara dua buah titik dua (:). Berikut adalah contoh penerapannya: + +```python +>>> console.print(":smiley: :vampire: :pile_of_poo: :thumbs_up: :raccoon:") +😃 🧛 💩 👍 🦝 +``` + +Mohon gunakan fitur ini dengan bijak. + +
+ +
+Tabel + +Rich mendukung perenderan [tabel](https://rich.readthedocs.io/en/latest/tables.html) secara fleksibel dengan karakter unicode. Terdapat variasi sangat besar untuk opsi pemformatan seperti pengaturan border, gaya tabel, perataan teks di dalam cell, dan lain sebagainya. + +![table movie](https://github.com/willmcgugan/rich/raw/master/imgs/table_movie.gif) + +Animasi di atas dibuat dengan program [table_movie.py](https://github.com/willmcgugan/rich/blob/master/examples/table_movie.py) pada direktori examples. + +Berikut adalah contoh tabel sederhana: + +```python +from rich.console import Console +from rich.table import Table + +console = Console() + +table = Table(show_header=True, header_style="bold magenta") +table.add_column("Date", style="dim", width=12) +table.add_column("Title") +table.add_column("Production Budget", justify="right") +table.add_column("Box Office", justify="right") +table.add_row( + "Dec 20, 2019", "Star Wars: The Rise of Skywalker", "$275,000,000", "$375,126,118" +) +table.add_row( + "May 25, 2018", + "[red]Solo[/red]: A Star Wars Story", + "$275,000,000", + "$393,151,347", +) +table.add_row( + "Dec 15, 2017", + "Star Wars Ep. VIII: The Last Jedi", + "$262,000,000", + "[bold]$1,332,539,889[/bold]", +) + +console.print(table) +``` + +Program di atas akan menghasilkan output sebagai berikut: + +![tabel](https://github.com/willmcgugan/rich/raw/master/imgs/table.png) + +Sebagai catatan console markup dirender sama seperti `print()` dan `log()`. Faktanya, untuk segala bentuk hal yang dapat dirender menggunakan Rich dapat disisipkan ke dalam header / baris (bahkan tabel lain). + +Class `Table` memiliki kemampuan yang baik untuk mengatur ukuran kolom supaya sesuai dengan lebar yang disediakan oleh terminal. Berikut adalah contoh penerapannya, dengan terminal memiliki ukuran yang lebih kecil dibandingkan tabel di atas: + +![table2](https://github.com/willmcgugan/rich/raw/master/imgs/table2.png) + +
+ +
+Bar Progress + +Rich dapat merender beragam bar [progress](https://rich.readthedocs.io/en/latest/progress.html) interaktif untuk memantau kemajuan yang telah dicapai oleh program yang berjalan lama. + +Untuk penggunaan dasar, masukan setiap urutan yang hendak dijadikan ke dalam bentuk progress ke dalam fungsi 'track' dan iterasikan urutan tersebut di atas outputnya. Berikut adalah contoh penerapannya: + +```python +from rich.progress import track + +for step in track(range(100)): + do_step(step) +``` + +Tidaklah sulit untuk menambahkan beberapa bar progress sekaligus. Berikut adalah contoh implementasi yang diambil dari file dokumentasi: + +![progress](https://github.com/willmcgugan/rich/raw/master/imgs/progress.gif) + +Bagian kolom dapat dikonfigurasikan sesuai dengan kebutuhan. Built-in kolom juga memiliki fitur presentasi seleasi, ukuran file, kecepatan file, dan waktu sisa. Berikut adalah contoh menampilkan bar progress ketika mengunduh suatu file: + +![progress](https://github.com/willmcgugan/rich/raw/master/imgs/downloader.gif) + +Untuk bereksperimen, periksa [examples/downloader.py](https://github.com/willmcgugan/rich/blob/master/examples/downloader.py) yang dapat menampilkan beberapa progress bar pengunduhan dari beberapa alamat URL sekaligus. + +
+ +
+Status + +Untuk kondisi dimana perhitungan sulit dilakukan dengan perhitunggan progress, gunakan method [status](https://rich.readthedocs.io/en/latest/reference/console.html#rich.console.Console.status) berikut yang menampilkan animasi 'spinner' dan pesan. Animasi tersebut tidak mencegah penggunaan console seperti keadaan normal. Berikut adalah contoh penerapannya: + +```python +from time import sleep +from rich.console import Console + +console = Console() +tasks = [f"task {n}" for n in range(1, 11)] + +with console.status("[bold green]Working on tasks...") as status: + while tasks: + task = tasks.pop(0) + sleep(1) + console.log(f"{task} complete") +``` + +Program di atas akan menghasilkan output sebagai berikut. + +![status](https://github.com/willmcgugan/rich/raw/master/imgs/status.gif) + +Animasi spinner tersebut diambil dari [cli-spinners](https://www.npmjs.com/package/cli-spinners). Anda dapat menentukan spinner yang hendak digunakan dengan menspesifikannya di parameter `spinner`. Jalankan perintah berikut untuk melihat parameter yang tersedia: + +``` +python -m rich.spinner +``` + +Perintah di atas akan menghasilkan output sebagai berikut: + +![spinners](https://github.com/willmcgugan/rich/raw/master/imgs/spinners.gif) + +
+ +
+Tree + +Rich dapat merender perintah [tree](https://rich.readthedocs.io/en/latest/tree.html) beserta dengan garis penunjuk. Suatu perintah tree idealnya digunakan untuk menampilkan struktur suatu file atau data hierarki lainnya. + +Label dari tree dapat berupa teks sederhana atau apapun yang dapat dirender oleh Rich, untuk contoh, jalankan perintah berikut: + +``` +python -m rich.tree +``` + +Program di atas akan menghasilkan output sebagai berikut: + +![markdown](https://github.com/willmcgugan/rich/raw/master/imgs/tree.png) + +Periksa contoh program [tree.py](https://github.com/willmcgugan/rich/blob/master/examples/tree.py) untuk menampilkan tampilan tree view dari direktori apapun, perintah ini serupa dengan `tree` pada linux. + +
+ +
+Kolom + +Rich dapat merender konten [kolom](https://rich.readthedocs.io/en/latest/columns.html) secara rapi dengan ukuran lebar yang sama atau optimal. Berikut adalah hasil kloning perintah dasar dari (MacOS / Linux) yaitu `ls` untuk melakukan listing direktori menggunakan kolom: + +```python +import os +import sys + +from rich import print +from rich.columns import Columns + +directory = os.listdir(sys.argv[1]) +print(Columns(directory)) +``` + +Screenshot berikut merupakan output dari [contoh kolom](https://github.com/willmcgugan/rich/blob/master/examples/columns.py) yang menampilkan data yang diambil melalui API ke dalam bentuk kolom: + +![columns](https://github.com/willmcgugan/rich/raw/master/imgs/columns.png) + +
+ +
+Markdown + +Rich dapat merender [markdown](https://rich.readthedocs.io/en/latest/markdown.html) dan melakukan tugasnya untuk menerjemahkan format tersebut supaya dapat ditampilkan di terminal. + +Untuk dapat merender markdown, import class `Markdown` dan inputkan string yang mengandung markdown tersebut. Lalu cetak ke dalam console. Berikut adalah contoh penerapannya: + +```python +from rich.console import Console +from rich.markdown import Markdown + +console = Console() +with open("README.md") as readme: + markdown = Markdown(readme.read()) +console.print(markdown) +``` + +Program di atas akan menghasilkan output seperti berikut: + +![markdown](https://github.com/willmcgugan/rich/raw/master/imgs/markdown.png) + +
+ +
+Penghilightan Syntax + +Rich memanfaatkan library [pygments](https://pygments.org/) supaya dapat melakukan [penghilightan syntax](https://rich.readthedocs.io/en/latest/syntax.html). Penggunaannya serupa dengan merender markdown; susun object `Syntax` dan cetak output pada console. Berikut adalah contoh penerapannya: + +```python +from rich.console import Console +from rich.syntax import Syntax + +my_code = ''' +def iter_first_last(values: Iterable[T]) -> Iterable[Tuple[bool, bool, T]]: + """Iterate and generate a tuple with a flag for first and last value.""" + iter_values = iter(values) + try: + previous_value = next(iter_values) + except StopIteration: + return + first = True + for value in iter_values: + yield first, False, previous_value + first = False + previous_value = value + yield first, True, previous_value +''' +syntax = Syntax(my_code, "python", theme="monokai", line_numbers=True) +console = Console() +console.print(syntax) +``` + +Program di atas akan menghasilkan output sebagai berikut: + +![syntax](https://github.com/willmcgugan/rich/raw/master/imgs/syntax.png) + +
+ +
+Tracebacks + +Rich dapat merender [tracebacks dengan indah](https://rich.readthedocs.io/en/latest/traceback.html) yang membuatnya mudah untuk dibaca dan menampilkan program yang dibuat lebih baik dibandingkan fitur standar Python. Anda dapat mengatur Rich sebagai traceback handler secara default sehingga setiap pesan exceptions akan dirender melalui Rich. + +Berikut adalah tampilannya pada OSX (serupa dengan Linux): + +![traceback](https://github.com/willmcgugan/rich/raw/master/imgs/traceback.png) + +
+ +Semua perenderan Rich menggunakan [Console Protocol](https://rich.readthedocs.io/en/latest/protocol.html), anda dapat juga mengimplementasikannya pada konten Rich milik anda. + +# Rich CLI + + +Baca juga [Rich CLI](https://github.com/textualize/rich-cli) sebuah program command line yang dibuat menggunakan Rich. Penghilightan syntax, perenderan markdown, menampilkan CSVs ke dalam tabel, dan masih banyak lagi, secara langsung melalui command prompt. + + +![Rich CLI](https://raw.githubusercontent.com/Textualize/rich-cli/main/imgs/rich-cli-splash.jpg) + + +# Projek yang telah menggunakan Rich + +Berikut adalah beberpa projek yang menggunakan Rich: + +- [BrancoLab/BrainRender](https://github.com/BrancoLab/BrainRender) + Sebuah package Python untuk visualisasi data neuro-anatomi tiga dimensi. +- [Ciphey/Ciphey](https://github.com/Ciphey/Ciphey) + Tools yang digunakan untuk melakukan deskripsi otomatis. +- [emeryberger/scalene](https://github.com/emeryberger/scalene) + profiler memori dan CPU untuk Python yang memiliki nilai performa dan presisi tinggi. +- [hedythedev/StarCli](https://github.com/hedythedev/starcli) + Melakukan penelusuran projek terkenal GitHub melalui command line. +- [intel/cve-bin-tool](https://github.com/intel/cve-bin-tool) + Tools ini dapat digunakan untuk melakukan scanning pada komponen yang rentan (openssl, libpng, libxml2, expat and a few others) untuk membuat anda mengetahui sistem anda mempunyai library yang telah diketahui kerentanannya. +- [nf-core/tools](https://github.com/nf-core/tools) + package Python dengan tools bantuan untuk komunitas nf-core. +- [cansarigol/pdbr](https://github.com/cansarigol/pdbr) + gabungan library pdb + Rich library untuk memperindah proses debugging. +- [plant99/felicette](https://github.com/plant99/felicette) + gambar citra satelit untuk pemula. +- [seleniumbase/SeleniumBase](https://github.com/seleniumbase/SeleniumBase) + tools otomatisasi dan test testing 10x lebih cepat dibandingkan dengan Selenium & pytest. Termasuk didalamnya baterai. +- [smacke/ffsubsync](https://github.com/smacke/ffsubsync) + tools sinkronisasi subtitle dengan video. +- [tryolabs/norfair](https://github.com/tryolabs/norfair) + Library Python ringan untuk menambahkan deteksi objek secara real-time pada objek 2D pada suatu detektor. +- [ansible/ansible-lint](https://github.com/ansible/ansible-lint) Sebuah ansible-lint untuk memeriksa playbooks yang digunakan sebagai practices and behaviour yang secara potensial dapat ditingkatkan. +- [ansible-community/molecule](https://github.com/ansible-community/molecule) Ansible Molecule untuk framework testing +- +[Lebih banyak lagi](https://github.com/willmcgugan/rich/network/dependents)! + + diff --git a/README.it.md b/README.it.md index c6e8b5620c..5df37b8942 100644 --- a/README.it.md +++ b/README.it.md @@ -33,7 +33,7 @@ Guarda cosa [le persone dicono su Rich](https://www.willmcgugan.com/blog/pages/p ## Compatibilità -Rich funziona su Linux, OSX, e Windows. True color / emoji funzionano con il nuovo Windows Terminal, il terminale classico è limitato a 16 colori. Rich richiede Python 3.6.1 o superiore. +Rich funziona su Linux, OSX, e Windows. True color / emoji funzionano con il nuovo Windows Terminal, il terminale classico è limitato a 16 colori. Rich richiede Python 3.6.3 o superiore. Rich funziona con i [Jupyter notebooks](https://jupyter.org/) senza configurazioni aggiuntive. diff --git a/README.ja.md b/README.ja.md index 300f779d31..ce28b48c9a 100644 --- a/README.ja.md +++ b/README.ja.md @@ -33,7 +33,7 @@ Richの紹介動画はこちらをご覧ください。 [calmcode.io](https://ca ## 互換性 -RichはLinux、OSX、Windowsに対応しています。True colorと絵文字は新しい Windows ターミナルで動作しますが、古いターミナルでは8色に制限されています。Richを使用するにはPythonのバージョンは3.6.1以降が必要です。 +RichはLinux、OSX、Windowsに対応しています。True colorと絵文字は新しい Windows ターミナルで動作しますが、古いターミナルでは8色に制限されています。Richを使用するにはPythonのバージョンは3.6.3以降が必要です。 Richは追加の設定を行わずとも、[Jupyter notebooks](https://jupyter.org/)で動作します。 diff --git a/README.kr.md b/README.kr.md index b55529af72..3b0be88785 100644 --- a/README.kr.md +++ b/README.kr.md @@ -23,7 +23,7 @@ Rich는 터미널에서 _풍부한(rich)_ 텍스트와 아름다운 서식을 지원하기 위한 파이썬 라이브러리입니다. -[Rich API](https://rich.readthedocs.io/en/latest/)는 터미널 출력에 색깔과 스타일을 입히기 쉽게 도와줍니다. 또한 Rich는 별다른 설정 없이 표, 진행 바, 마크다운, 소스코드 구문 강조, tracebacks 등을 예쁘게 보여줄 수 있습니다. +[Rich API](https://rich.readthedocs.io/en/latest/)는 터미널 출력에 색깔과 스타일을 입히기 쉽게 도와줍니다. 또한 Rich는 별다른 설정 없이 표, 진행 바, 마크다운, 소스코드 구문 강조, tracebacks 등을 예쁘게 보여줄 수 있습니다. ![Features](https://github.com/willmcgugan/rich/raw/master/imgs/features.png) @@ -33,7 +33,7 @@ Rich에 대한 동영상 설명을 보시려면 [@fishnets88](https://twitter.co ## 호환성 -Rich는 리눅스, OSX, 윈도우에서 동작합니다. 트루 컬러 / 이모지는 새로운 윈도우 터미널에서 동작하지만 구형 터미널에서는 16가지 색으로 제한됩니다. Rich는 파이썬 3.6.1 버전 혹은 그 이후 버전이 필요합니다. +Rich는 리눅스, OSX, 윈도우에서 동작합니다. 트루 컬러 / 이모지는 새로운 윈도우 터미널에서 동작하지만 구형 터미널에서는 16가지 색으로 제한됩니다. Rich는 파이썬 3.6.3 버전 혹은 그 이후 버전이 필요합니다. Rich는 [Jupyter notebooks](https://jupyter.org/)에서 별도의 설정없이 바로 동작합니다. @@ -53,7 +53,7 @@ python -m rich ## Rich Print -간단하게 당신의 어플리케이션에 rich한 출력을 추가하려면, 파이썬 내장 함수와 signature가 같은 [rich print](https://rich.readthedocs.io/en/latest/introduction.html#quick-start) 메서드를 import 할 수 있습니다. +간단하게 당신의 어플리케이션에 rich한 출력을 추가하려면, 파이썬 내장 함수와 signature가 같은 [rich print](https://rich.readthedocs.io/en/latest/introduction.html#quick-start) 메서드를 import 할 수 있습니다. 따라해보세요: ```python @@ -84,13 +84,13 @@ from rich.console import Console console = Console() ``` - + 콘솔 객체에는 `print` 메서드가 있는데, 내부적으로 내장 `print` 함수와 유사한 인터페이스를 가지고 있습니다. 아래는 예제입니다: ```python console.print("Hello", "World!") ``` - + 예상대로 `"Hello World!"`이 터미널에 출력될 것입니다. 내장 `print` 함수와 달리, Rich는 터미널 폭에 맞춰 자동 줄바꿈(word-wrap)을 적용하는 것에 유의하세요. 출력에 색깔과 스타일을 입히는 방법은 몇가지가 있습니다. `style` 키워드 전달인자를 추가해 전체 출력에 대해 스타일을 변경할 수 있습니다. 예제는 다음과 같습니다: @@ -129,13 +129,13 @@ Rich는 class나 instance, builtin 같은 파이썬 객체의 레포트를 생 # Rich Library -Rich는 CLI에서 우아하게 출력하거나 코드 디버깅을 돕도록 다양한 빌트인 _렌더링을_ 포함하고 있습니다. +Rich는 CLI에서 우아하게 출력하거나 코드 디버깅을 돕도록 다양한 빌트인 _렌더링을_ 포함하고 있습니다. 자세한 내용을 확인하려면 제목을 눌러주세요:
Log - + Console 객체는 `print()`와 인터페이스가 유사한 `log()` 메서드를 가지고 있습니다. `Log()`는 호출이 이루어진 파일과 라인, 현재 시간도 같이 출력합니다. 기본적으로 Rich는 파이썬 구조체와 repr string에 대해 신택스 하이라이팅을 지원합니다. 만약 당신이 collection(예를 들어 dict나 list)을 로깅한다면, Rich는 표현 가능한 공간에 맞춰 예쁘게 출력해줍니다. 이러한 기능들에 대한 예시입니다: ```python @@ -167,7 +167,7 @@ test_log() `log_locals` 인자를 사용하면 log 메서드가 호출된 곳의 로컬 변수들을 표로 보여준다는 것도 알아두세요. -로그 메서드는 서버처럼 오랫동안 실행되는 어플리케이션을 터미널로 로깅할때 사용할 수 있지만 디버깅 할 때도 매우 좋습니다. +로그 메서드는 서버처럼 오랫동안 실행되는 어플리케이션을 터미널로 로깅할때 사용할 수 있지만 디버깅 할 때도 매우 좋습니다.
@@ -238,7 +238,7 @@ console.print(table) ![table](https://github.com/willmcgugan/rich/raw/master/imgs/table.png) -콘솔 출력은 `print()`나 `log()`와 같은 방식으로 렌더링 된다는 것을 주의하세요. 사실, Rich로 표현할 수 있는 것은 무엇이든 headers / rows (심지어 다른 표들도)에 포함할 수 있습니다. +콘솔 출력은 `print()`나 `log()`와 같은 방식으로 렌더링 된다는 것을 주의하세요. 사실, Rich로 표현할 수 있는 것은 무엇이든 headers / rows (심지어 다른 표들도)에 포함할 수 있습니다. `Table` 클래스는 터미널의 폭에 맞춰 필요한 만큼 줄을 내리고 열 길이를 스스로 조절합니다. 위의 표보다 작은 터미널에서 만들어진 표 예시입니다: @@ -309,7 +309,7 @@ python -m rich.spinner
Tree(트리) - + Rich는 가이드라인과 함께 [트리](https://rich.readthedocs.io/en/latest/tree.html)를 표현할 수 있습니다. 파일 구조나, 계층적 데이터를 보여주는데 적합합니다. 트리의 라벨은 간단한 텍스트나 Rich로 표현할 수 있는 것은 모든지 가능합니다. 아래의 예시를 따라해보세요: @@ -321,7 +321,7 @@ python -m rich.tree 이는 아래와 같이 출력됩니다: ![markdown](https://github.com/willmcgugan/rich/raw/master/imgs/tree.png) - + 리눅스의 `tree` 명령어처럼 아무 디렉토리의 트리를 보여주는 스크립트 예제를 보시려면 [tree.py](https://github.com/willmcgugan/rich/blob/master/examples/tree.py)를 확인해주세요.
@@ -408,8 +408,8 @@ console.print(syntax)
Tracebacks - -Rich는 [예쁜 tracebacks](https://rich.readthedocs.io/en/latest/traceback.html)을 표현할 수 있습니다. 이것은 읽기도 더 쉽고 일반적인 파이썬 tracebacks 보다 더 많은 코드를 보여줍니다. uncaught exceptions가 Rich로 출력되도록 Rich를 기본 Traceback 핸들러로 설정할 수도 있습니다. + +Rich는 [예쁜 tracebacks](https://rich.readthedocs.io/en/latest/traceback.html)을 표현할 수 있습니다. 이것은 읽기도 더 쉽고 일반적인 파이썬 tracebacks 보다 더 많은 코드를 보여줍니다. uncaught exceptions가 Rich로 출력되도록 Rich를 기본 Traceback 핸들러로 설정할 수도 있습니다. OSX에서는 이렇게 출력됩니다 (리눅스도 유사함): @@ -423,7 +423,7 @@ OSX에서는 이렇게 출력됩니다 (리눅스도 유사함): Tidelift 구독의 일환으로 가능합니다. -Rich를 포함한 수천가지 다른 패키지들의 메인테이너들은 당신이 앱을 만들기 위해 사용하는 오픈소스 패키지의 상업적인 지원과 유지보수를 위해 Tidelift와 함께 일하고 있습니다. 당신이 사용하는 패키지의 메인테이너에게 비용을 지불하는 대신 시간을 절약하고, 리스크를 줄이고, 코드의 품질을 향상시킬 수 있습니다. [더 자세한 정보는 여기를 참고바랍니다.](https://tidelift.com/subscription/pkg/pypi-rich?utm_source=pypi-rich&utm_medium=referral&utm_campaign=enterprise&utm_term=repo) +Rich를 포함한 수천가지 다른 패키지들의 메인테이너들은 당신이 앱을 만들기 위해 사용하는 오픈소스 패키지의 상업적인 지원과 유지보수를 위해 Tidelift와 함께 일하고 있습니다. 당신이 사용하는 패키지의 메인테이너에게 비용을 지불하는 대신 시간을 절약하고, 리스크를 줄이고, 코드의 품질을 향상시킬 수 있습니다. [더 자세한 정보는 여기를 참고바랍니다.](https://tidelift.com/subscription/pkg/pypi-rich?utm_source=pypi-rich&utm_medium=referral&utm_campaign=enterprise&utm_term=repo) # Rich를 사용하는 프로젝트들 @@ -451,7 +451,7 @@ Rich를 사용하는 몇가지 프로젝트들입니다: 자동으로 자막과 영상의 싱크를 맞추세요. - [tryolabs/norfair](https://github.com/tryolabs/norfair) 모든 탐지된 것에 실시간으로 2D 오브젝트 트래킹을 추가하는 경량화된 파이썬 라이브러리. -- [ansible/ansible-lint](https://github.com/ansible/ansible-lint) +- [ansible/ansible-lint](https://github.com/ansible/ansible-lint) Ansible-lint가 playbooks를 확인해 잠재적으로 개선될 수 있는 practices나 동작을 확인합니다. - [ansible-community/molecule](https://github.com/ansible-community/molecule) Ansible Molecule의 테스트 프레임워크 diff --git a/README.md b/README.md index f7cf6368fa..137ec0de06 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ [![Supported Python Versions](https://img.shields.io/pypi/pyversions/rich/10.11.0)](https://pypi.org/project/rich/) [![PyPI version](https://badge.fury.io/py/rich.svg)](https://badge.fury.io/py/rich) [![Downloads](https://pepy.tech/badge/rich/month)](https://pepy.tech/project/rich) -[![codecov](https://codecov.io/gh/willmcgugan/rich/branch/master/graph/badge.svg)](https://codecov.io/gh/willmcgugan/rich) +[![codecov](https://img.shields.io/codecov/c/github/Textualize/rich?label=codecov&logo=codecov)](https://codecov.io/gh/willmcgugan/rich) [![Rich blog](https://img.shields.io/badge/blog-rich%20news-yellowgreen)](https://www.willmcgugan.com/tag/rich/) [![Twitter Follow](https://img.shields.io/twitter/follow/willmcgugan.svg?style=social)](https://twitter.com/willmcgugan) @@ -34,7 +34,7 @@ See what [people are saying about Rich](https://www.willmcgugan.com/blog/pages/p ## Compatibility -Rich works with Linux, OSX, and Windows. True color / emoji works with new Windows Terminal, classic terminal is limited to 16 colors. Rich requires Python 3.6.1 or later. +Rich works with Linux, OSX, and Windows. True color / emoji works with new Windows Terminal, classic terminal is limited to 16 colors. Rich requires Python 3.6.3 or later. Rich works with [Jupyter notebooks](https://jupyter.org/) with no additional configuration required. @@ -419,11 +419,14 @@ Here's what it looks like on OSX (similar on Linux): All Rich renderables make use of the [Console Protocol](https://rich.readthedocs.io/en/latest/protocol.html), which you can also use to implement your own Rich content. -# Rich for enterprise +# Rich CLI -Available as part of the Tidelift Subscription. -The maintainers of Rich and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use. [Learn more.](https://tidelift.com/subscription/pkg/pypi-rich?utm_source=pypi-rich&utm_medium=referral&utm_campaign=enterprise&utm_term=repo) +See also [Rich CLI](https://github.com/textualize/rich-cli) for a command line application powered by Rich. Syntax highlight code, render markdown, display CSVs in tables, and more, directly from the command prompt. + + +![Rich CLI](https://raw.githubusercontent.com/Textualize/rich-cli/main/imgs/rich-cli-splash.jpg) + # Projects using Rich diff --git a/README.pt-br.md b/README.pt-br.md index 55f366cafd..40c9168dad 100644 --- a/README.pt-br.md +++ b/README.pt-br.md @@ -32,7 +32,7 @@ Veja aqui [o que estão falando sobre o Rich](https://www.willmcgugan.com/blog/p ## Compatibilidade -Rich funciona no Linux, OSX e Windows. True color / emoji funciona no novo Terminal do Windows, o terminal classico é limitado a 16 cores. Rich requer Python 3.6.1 ou superior. +Rich funciona no Linux, OSX e Windows. True color / emoji funciona no novo Terminal do Windows, o terminal classico é limitado a 16 cores. Rich requer Python 3.6.3 ou superior. Rich funciona com [Jupyter notebooks](https://jupyter.org/) sem a necessidade de configurações adicionais. diff --git a/README.ru.md b/README.ru.md index b6ff2d255e..1666f8d914 100644 --- a/README.ru.md +++ b/README.ru.md @@ -34,7 +34,7 @@ Rich это Python библиотека позволяющая отобража ## Cовместимость -Rich работает с Linux, OSX, и Windows. True color / эмоджи работают с новым терминалом Windows, классический терминал лимитирован 16 цветами. Rich требует Python 3.6.1 или более новый. +Rich работает с Linux, OSX, и Windows. True color / эмоджи работают с новым терминалом Windows, классический терминал лимитирован 16 цветами. Rich требует Python 3.6.3 или более новый. Rich работает с [Jupyter notebooks](https://jupyter.org/) без дополнительной конфигурации. diff --git a/README.sv.md b/README.sv.md index b2685a705e..4d2cf9828f 100644 --- a/README.sv.md +++ b/README.sv.md @@ -32,7 +32,7 @@ Se vad [folk pratar om Rich](https://www.willmcgugan.com/blog/pages/post/rich-tw ## Kompatibilitet -Rich funkar med Linux, OSX, och Windows. Sann färg / emoji funkar med nya Windows Terminalen, klassiska terminal är begränsad till 8 färger. Rich kräver Python 3.6.1 eller senare. +Rich funkar med Linux, OSX, och Windows. Sann färg / emoji funkar med nya Windows Terminalen, klassiska terminal är begränsad till 8 färger. Rich kräver Python 3.6.3 eller senare. Rich funkar med [Jupyter notebooks](https://jupyter.org/) utan någon ytterligare konfiguration behövd. @@ -64,7 +64,7 @@ print("Hello, [bold magenta]World[/bold magenta]!", ":vampire:", locals()) ## Rich REPL -Rich kan installeras i Python REPL, så att varje datastruktur kommer att skrivas ut fint och markeras. +Rich kan installeras i Python REPL, så att varje datastruktur kommer att skrivas ut fint och markeras. ```python >>> from rich import pretty diff --git a/README.zh-tw.md b/README.zh-tw.md index 207f3260f7..048b8b10fc 100644 --- a/README.zh-tw.md +++ b/README.zh-tw.md @@ -33,7 +33,7 @@ Rich 是一款提供終端機介面中 _豐富的_ 文字效果及精美的格 ## 相容性 -Rich 可在 Linux、macOS、Windows 上運作。在新的 Windows Terminal 中可支援顯示全彩及 Emoji，但傳統的終端機中僅支援 16 色。Rich 最低需要的 Python 版本為 3.6.1。 +Rich 可在 Linux、macOS、Windows 上運作。在新的 Windows Terminal 中可支援顯示全彩及 Emoji，但傳統的終端機中僅支援 16 色。Rich 最低需要的 Python 版本為 3.6.3。 Rich 可在 [Jupyter notebooks](https://jupyter.org/) 上使用，無須額外設定。 @@ -195,7 +195,7 @@ log 方法可用於伺服器上長時間運作的程式，也很適合一般程
表格 -Rich 可以用 unicode box 字元繪製彈性的 [表格](https://rich.readthedocs.io/en/latest/tables.html)。格式設定十分多元，包含框線、樣式、儲存格對齊……。 +Rich 可以用 unicode box 字元繪製彈性的 [表格](https://rich.readthedocs.io/en/latest/tables.html)。格式設定十分多元，包含框線、樣式、儲存格對齊……。 ![table movie](https://github.com/willmcgugan/rich/raw/master/imgs/table_movie.gif) diff --git a/asv.conf.json b/asv.conf.json new file mode 100644 index 0000000000..0768205128 --- /dev/null +++ b/asv.conf.json @@ -0,0 +1,34 @@ +{ + "version": 1, + "project": "rich", + "project_url": "https://github.com/Textualize/rich", + "repo": ".", + "repo_subdir": "", + "install_command": [ + "in-dir={env_dir} python -mpip install {wheel_file}" + ], + "uninstall_command": [ + "return-code=any python -mpip uninstall -y {project}" + ], + "build_command": [ + "pip install poetry", + "python setup.py build", + "PIP_NO_BUILD_ISOLATION=false python -mpip wheel --no-deps --no-index -w {build_cache_dir} {build_dir}" + ], + "branches": [ + "master" + ], + "html_dir": "./benchmarks/html", + "results_dir": "./benchmarks/results", + "env_dir": "./benchmarks/env", + "dvcs": "git", + "environment_type": "virtualenv", + "install_timeout": 180, + "show_commit_url": "http://github.com/Textualize/rich/commit/", + "pythons": [ + "3.10" + ], + "matrix": { + "req": {} + } +} diff --git a/benchmarks/README.md b/benchmarks/README.md new file mode 100644 index 0000000000..d024fa1889 --- /dev/null +++ b/benchmarks/README.md @@ -0,0 +1,17 @@ +# Benchmarking Rich + +This directory contains benchmarks, for monitoring the performance of Rich over time. + +The benchmarks use a tool called [Airspeed Velocity](https://asv.readthedocs.io/en/stable) (`asv`), +and we've configured it in [asv.conf.json](../asv.conf.json). + +## Running Benchmarks + +We strongly recommend running `asv run --help` for a full list of options, but +here are some common actions: + +* You can run the benchmarks against the `master` branch with `asv run`. +* To test the most recent commit on your branch `asv run HEAD^!`. +* To generate a static website for browsing the results, run `asv publish`. The resulting HTML can be found in `benchmarks/html`. + +The asv docs have some more examples [here](https://asv.readthedocs.io/en/stable/using.html#benchmarking). diff --git a/benchmarks/__init__.py b/benchmarks/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/benchmarks/benchmarks.py b/benchmarks/benchmarks.py new file mode 100644 index 0000000000..bfcd7b6358 --- /dev/null +++ b/benchmarks/benchmarks.py @@ -0,0 +1,193 @@ +from io import StringIO + +from benchmarks import snippets +from rich.color import Color, ColorSystem +from rich.console import Console +from rich.pretty import Pretty +from rich.style import Style +from rich.syntax import Syntax +from rich.table import Table +from rich.text import Text + + +class TextSuite: + def setup(self): + self.console = Console( + file=StringIO(), color_system="truecolor", legacy_windows=False + ) + self.len_lorem_ipsum = len(snippets.LOREM_IPSUM) + + def time_wrapping(self): + Text(snippets.LOREM_IPSUM).wrap(self.console, 12, overflow="fold") + + def time_indent_guides(self): + Text(snippets.PYTHON_SNIPPET).with_indent_guides() + + def time_fit(self): + Text(snippets.LOREM_IPSUM).fit(12) + + def time_split(self): + Text(snippets.LOREM_IPSUM).split() + + def time_divide(self): + Text(snippets.LOREM_IPSUM).divide(range(20, 100, 4)) + + def time_align_center(self): + Text(snippets.LOREM_IPSUM).align("center", width=self.len_lorem_ipsum * 3) + + def time_render(self): + Text(snippets.LOREM_IPSUM).render(self.console) + + def time_wrapping_unicode_heavy(self): + Text(snippets.UNICODE_HEAVY_TEXT).wrap(self.console, 12, overflow="fold") + + def time_fit_unicode_heavy(self): + Text(snippets.UNICODE_HEAVY_TEXT).fit(12) + + def time_split_unicode_heavy(self): + Text(snippets.UNICODE_HEAVY_TEXT).split() + + def time_divide_unicode_heavy(self): + Text(snippets.UNICODE_HEAVY_TEXT).divide(range(20, 100, 4)) + + def time_align_center_unicode_heavy(self): + Text(snippets.UNICODE_HEAVY_TEXT).align( + "center", width=self.len_lorem_ipsum * 3 + ) + + def time_render_unicode_heavy(self): + Text(snippets.UNICODE_HEAVY_TEXT).render(self.console) + + +class SyntaxWrappingSuite: + def setup(self): + self.console = Console( + file=StringIO(), color_system="truecolor", legacy_windows=False + ) + self.syntax = Syntax( + code=snippets.PYTHON_SNIPPET, lexer="python", word_wrap=True + ) + + def time_text_thin_terminal_heavy_wrapping(self): + self._print_with_width(20) + + def time_text_thin_terminal_medium_wrapping(self): + self._print_with_width(60) + + def time_text_wide_terminal_no_wrapping(self): + self._print_with_width(100) + + def _print_with_width(self, width): + self.console.print(self.syntax, width) + + +class TableSuite: + def time_table_no_wrapping(self): + self._print_table(width=100) + + def time_table_heavy_wrapping(self): + self._print_table(width=30) + + def _print_table(self, width): + table = Table(title="Star Wars Movies") + console = Console( + file=StringIO(), color_system="truecolor", legacy_windows=False, width=width + ) + table.add_column("Released", justify="right", style="cyan", no_wrap=True) + table.add_column("Title", style="magenta") + table.add_column("Box Office", justify="right", style="green") + table.add_row( + "Dec 20, 2019", "[b]Star Wars[/]: The Rise of Skywalker", "$952,110,690" + ) + table.add_row( + "May 25, 2018", "Solo: A [red][b]Star Wars[/] Story[/]", "$393,151,347" + ) + table.add_row( + "Dec 15, 2017", + "[b red]Star Wars[/] Ep. V111: The Last Jedi", + "$1,332,539,889", + ) + table.add_row( + "Dec 16, 2016", "Rogue One: A [blue]Star Wars[/] Story", "$1,332,439,889" + ) + console.print(table) + + +class PrettySuite: + def setup(self): + self.console = Console( + file=StringIO(), color_system="truecolor", legacy_windows=False, width=100 + ) + + def time_pretty(self): + pretty = Pretty(snippets.PYTHON_DICT) + self.console.print(pretty) + + def time_pretty_indent_guides(self): + pretty = Pretty(snippets.PYTHON_DICT, indent_guides=True) + self.console.print(pretty) + + def time_pretty_justify_center(self): + pretty = Pretty(snippets.PYTHON_DICT, justify="center") + self.console.print(pretty) + + +class StyleSuite: + def setup(self): + self.console = Console( + file=StringIO(), color_system="truecolor", legacy_windows=False, width=100 + ) + + def time_parse_ansi(self): + Style.parse("red on blue") + + def time_parse_hex(self): + Style.parse("#f0f0f0 on #e2e28a") + + def time_parse_mixed_complex_style(self): + Style.parse("dim bold reverse #00ee00 on rgb(123,12,50)") + + +class ColorSuite: + def setup(self): + self.console = Console( + file=StringIO(), color_system="truecolor", legacy_windows=False, width=100 + ) + self.color = Color.parse("#0d1da0") + + def time_downgrade_to_eight_bit(self): + self.color.downgrade(ColorSystem.EIGHT_BIT) + + def time_downgrade_to_standard(self): + self.color.downgrade(ColorSystem.STANDARD) + + def time_downgrade_to_windows(self): + self.color.downgrade(ColorSystem.WINDOWS) + + +class ColorSuiteCached: + def setup(self): + self.console = Console( + file=StringIO(), color_system="truecolor", legacy_windows=False, width=100 + ) + self.color = Color.parse("#0d1da0") + # Warm cache + self.color.downgrade(ColorSystem.EIGHT_BIT) + self.color.downgrade(ColorSystem.STANDARD) + self.color.downgrade(ColorSystem.WINDOWS) + + def time_downgrade_to_eight_bit(self): + self.color.downgrade(ColorSystem.EIGHT_BIT) + + def time_downgrade_to_standard(self): + self.color.downgrade(ColorSystem.STANDARD) + + def time_downgrade_to_windows(self): + self.color.downgrade(ColorSystem.WINDOWS) + + +class SegmentSuite: + def setup(self): + self.console = Console( + file=StringIO(), color_system="truecolor", legacy_windows=False, width=100 + ) diff --git a/benchmarks/results/benchmarks.json b/benchmarks/results/benchmarks.json new file mode 100644 index 0000000000..1df1be7ddb --- /dev/null +++ b/benchmarks/results/benchmarks.json @@ -0,0 +1,483 @@ +{ + "benchmarks.ColorSuite.time_downgrade_to_eight_bit": { + "code": "class ColorSuite:\n def time_downgrade_to_eight_bit(self):\n self.color.downgrade(ColorSystem.EIGHT_BIT)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)\n self.color = Color.parse(\"#0d1da0\")", + "min_run_count": 2, + "name": "benchmarks.ColorSuite.time_downgrade_to_eight_bit", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", + "warmup_time": -1 + }, + "benchmarks.ColorSuite.time_downgrade_to_standard": { + "code": "class ColorSuite:\n def time_downgrade_to_standard(self):\n self.color.downgrade(ColorSystem.STANDARD)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)\n self.color = Color.parse(\"#0d1da0\")", + "min_run_count": 2, + "name": "benchmarks.ColorSuite.time_downgrade_to_standard", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", + "warmup_time": -1 + }, + "benchmarks.ColorSuite.time_downgrade_to_windows": { + "code": "class ColorSuite:\n def time_downgrade_to_windows(self):\n self.color.downgrade(ColorSystem.WINDOWS)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)\n self.color = Color.parse(\"#0d1da0\")", + "min_run_count": 2, + "name": "benchmarks.ColorSuite.time_downgrade_to_windows", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", + "warmup_time": -1 + }, + "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": { + "code": "class ColorSuiteCached:\n def time_downgrade_to_eight_bit(self):\n self.color.downgrade(ColorSystem.EIGHT_BIT)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)\n self.color = Color.parse(\"#0d1da0\")\n # Warm cache\n self.color.downgrade(ColorSystem.EIGHT_BIT)\n self.color.downgrade(ColorSystem.STANDARD)\n self.color.downgrade(ColorSystem.WINDOWS)", + "min_run_count": 2, + "name": "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", + "warmup_time": -1 + }, + "benchmarks.ColorSuiteCached.time_downgrade_to_standard": { + "code": "class ColorSuiteCached:\n def time_downgrade_to_standard(self):\n self.color.downgrade(ColorSystem.STANDARD)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)\n self.color = Color.parse(\"#0d1da0\")\n # Warm cache\n self.color.downgrade(ColorSystem.EIGHT_BIT)\n self.color.downgrade(ColorSystem.STANDARD)\n self.color.downgrade(ColorSystem.WINDOWS)", + "min_run_count": 2, + "name": "benchmarks.ColorSuiteCached.time_downgrade_to_standard", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", + "warmup_time": -1 + }, + "benchmarks.ColorSuiteCached.time_downgrade_to_windows": { + "code": "class ColorSuiteCached:\n def time_downgrade_to_windows(self):\n self.color.downgrade(ColorSystem.WINDOWS)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)\n self.color = Color.parse(\"#0d1da0\")\n # Warm cache\n self.color.downgrade(ColorSystem.EIGHT_BIT)\n self.color.downgrade(ColorSystem.STANDARD)\n self.color.downgrade(ColorSystem.WINDOWS)", + "min_run_count": 2, + "name": "benchmarks.ColorSuiteCached.time_downgrade_to_windows", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", + "warmup_time": -1 + }, + "benchmarks.PrettySuite.time_pretty": { + "code": "class PrettySuite:\n def time_pretty(self):\n pretty = Pretty(snippets.PYTHON_DICT)\n self.console.print(pretty)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)", + "min_run_count": 2, + "name": "benchmarks.PrettySuite.time_pretty", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", + "warmup_time": -1 + }, + "benchmarks.PrettySuite.time_pretty_indent_guides": { + "code": "class PrettySuite:\n def time_pretty_indent_guides(self):\n pretty = Pretty(snippets.PYTHON_DICT, indent_guides=True)\n self.console.print(pretty)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)", + "min_run_count": 2, + "name": "benchmarks.PrettySuite.time_pretty_indent_guides", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", + "warmup_time": -1 + }, + "benchmarks.PrettySuite.time_pretty_justify_center": { + "code": "class PrettySuite:\n def time_pretty_justify_center(self):\n pretty = Pretty(snippets.PYTHON_DICT, justify=\"center\")\n self.console.print(pretty)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)", + "min_run_count": 2, + "name": "benchmarks.PrettySuite.time_pretty_justify_center", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", + "warmup_time": -1 + }, + "benchmarks.StyleSuite.time_parse_ansi": { + "code": "class StyleSuite:\n def time_parse_ansi(self):\n Style.parse(\"red on blue\")\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)", + "min_run_count": 2, + "name": "benchmarks.StyleSuite.time_parse_ansi", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", + "warmup_time": -1 + }, + "benchmarks.StyleSuite.time_parse_hex": { + "code": "class StyleSuite:\n def time_parse_hex(self):\n Style.parse(\"#f0f0f0 on #e2e28a\")\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)", + "min_run_count": 2, + "name": "benchmarks.StyleSuite.time_parse_hex", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", + "warmup_time": -1 + }, + "benchmarks.StyleSuite.time_parse_mixed_complex_style": { + "code": "class StyleSuite:\n def time_parse_mixed_complex_style(self):\n Style.parse(\"dim bold reverse #00ee00 on rgb(123,12,50)\")\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False, width=100)", + "min_run_count": 2, + "name": "benchmarks.StyleSuite.time_parse_mixed_complex_style", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", + "warmup_time": -1 + }, + "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": { + "code": "class SyntaxWrappingSuite:\n def time_text_thin_terminal_heavy_wrapping(self):\n self._print_with_width(20)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.syntax = Syntax(code=snippets.PYTHON_SNIPPET, lexer=\"python\", word_wrap=True)", + "min_run_count": 2, + "name": "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", + "warmup_time": -1 + }, + "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": { + "code": "class SyntaxWrappingSuite:\n def time_text_thin_terminal_medium_wrapping(self):\n self._print_with_width(60)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.syntax = Syntax(code=snippets.PYTHON_SNIPPET, lexer=\"python\", word_wrap=True)", + "min_run_count": 2, + "name": "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", + "warmup_time": -1 + }, + "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": { + "code": "class SyntaxWrappingSuite:\n def time_text_wide_terminal_no_wrapping(self):\n self._print_with_width(100)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.syntax = Syntax(code=snippets.PYTHON_SNIPPET, lexer=\"python\", word_wrap=True)", + "min_run_count": 2, + "name": "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", + "warmup_time": -1 + }, + "benchmarks.TableSuite.time_table_heavy_wrapping": { + "code": "class TableSuite:\n def time_table_heavy_wrapping(self):\n self._print_table(width=30)", + "min_run_count": 2, + "name": "benchmarks.TableSuite.time_table_heavy_wrapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", + "warmup_time": -1 + }, + "benchmarks.TableSuite.time_table_no_wrapping": { + "code": "class TableSuite:\n def time_table_no_wrapping(self):\n self._print_table(width=100)", + "min_run_count": 2, + "name": "benchmarks.TableSuite.time_table_no_wrapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_align_center": { + "code": "class TextSuite:\n def time_align_center(self):\n Text(snippets.LOREM_IPSUM).align(\"center\", width=self.len_lorem_ipsum * 3)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_align_center", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_align_center_unicode_heavy": { + "code": "class TextSuite:\n def time_align_center_unicode_heavy(self):\n Text(snippets.UNICODE_HEAVY_TEXT).align(\"center\", width=self.len_lorem_ipsum * 3)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_align_center_unicode_heavy", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_divide": { + "code": "class TextSuite:\n def time_divide(self):\n Text(snippets.LOREM_IPSUM).divide(range(20, 100, 4))\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_divide", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_divide_unicode_heavy": { + "code": "class TextSuite:\n def time_divide_unicode_heavy(self):\n Text(snippets.UNICODE_HEAVY_TEXT).divide(range(20, 100, 4))\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_divide_unicode_heavy", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_fit": { + "code": "class TextSuite:\n def time_fit(self):\n Text(snippets.LOREM_IPSUM).fit(12)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_fit", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_fit_unicode_heavy": { + "code": "class TextSuite:\n def time_fit_unicode_heavy(self):\n Text(snippets.UNICODE_HEAVY_TEXT).fit(12)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_fit_unicode_heavy", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_indent_guides": { + "code": "class TextSuite:\n def time_indent_guides(self):\n Text(snippets.PYTHON_SNIPPET).with_indent_guides()\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_indent_guides", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_render": { + "code": "class TextSuite:\n def time_render(self):\n Text(snippets.LOREM_IPSUM).render(self.console)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_render", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_render_unicode_heavy": { + "code": "class TextSuite:\n def time_render_unicode_heavy(self):\n Text(snippets.UNICODE_HEAVY_TEXT).render(self.console)\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_render_unicode_heavy", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_split": { + "code": "class TextSuite:\n def time_split(self):\n Text(snippets.LOREM_IPSUM).split()\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_split", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_split_unicode_heavy": { + "code": "class TextSuite:\n def time_split_unicode_heavy(self):\n Text(snippets.UNICODE_HEAVY_TEXT).split()\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_split_unicode_heavy", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_wrapping": { + "code": "class TextSuite:\n def time_wrapping(self):\n Text(snippets.LOREM_IPSUM).wrap(self.console, 12, overflow=\"fold\")\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_wrapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", + "warmup_time": -1 + }, + "benchmarks.TextSuite.time_wrapping_unicode_heavy": { + "code": "class TextSuite:\n def time_wrapping_unicode_heavy(self):\n Text(snippets.UNICODE_HEAVY_TEXT).wrap(self.console, 12, overflow=\"fold\")\n\n def setup(self):\n self.console = Console(file=StringIO(), color_system=\"truecolor\", legacy_windows=False)\n self.len_lorem_ipsum = len(snippets.LOREM_IPSUM)", + "min_run_count": 2, + "name": "benchmarks.TextSuite.time_wrapping_unicode_heavy", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "timeout": 60.0, + "type": "time", + "unit": "seconds", + "version": "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", + "warmup_time": -1 + }, + "version": 2 +} diff --git a/benchmarks/results/darrenburns-2022-mbp/008854c4-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/008854c4-virtualenv-py3.10.json new file mode 100644 index 0000000000..bd61ec28d2 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/008854c4-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "008854c40772f647dfcb873bc3489e8a1c02d598", "env_name": "virtualenv-py3.10", "date": 1637075489000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7035716302047938e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928217146, 0.46624, [1.6888e-07], [1.7084e-07], [1.6954e-07], [1.7059e-07], [64507], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6999220365271978e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928217378, 0.46342, [1.6946e-07], [1.7071e-07], [1.6971e-07], [1.7025e-07], [64388], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.705959185914513e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928217609, 0.46502, [1.7011e-07], [1.7493e-07], [1.7037e-07], [1.7071e-07], [64341], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.711256779402836e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928217842, 0.45987, [1.7047e-07], [1.7261e-07], [1.7068e-07], [1.7214e-07], [62696], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7014178724238976e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928218069, 0.46676, [1.6902e-07], [1.7069e-07], [1.6927e-07], [1.7051e-07], [64572], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7013324018204837e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928218303, 0.46615, [1.6918e-07], [1.71e-07], [1.6998e-07], [1.7022e-07], [64455], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010385562491137534], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928218536, 0.44839, [0.0010342], [0.00104], [0.0010376], [0.0010389], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001431178569743809], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928218763, 0.44502, [0.0014269], [0.0014359], [0.0014294], [0.0014329], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013053151888016146], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928218985, 0.4466, [0.0013027], [0.0013118], [0.0013032], [0.0013099], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1445022795827479e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928219212, 0.46433, [1.1412e-07], [1.1496e-07], [1.142e-07], [1.1451e-07], [95867], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1444926984658398e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928219445, 0.46101, [1.1417e-07], [1.1495e-07], [1.1439e-07], [1.1459e-07], [94717], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.143986341348774e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928219676, 0.46373, [1.1417e-07], [1.1477e-07], [1.1422e-07], [1.1456e-07], [95762], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928213573, 0.066215], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928213639, 0.065625], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928213705, 0.06561], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0022121749992948026], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928219909, 0.45152, [0.0021968], [0.0022231], [0.0022017], [0.0022177], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0013260781233839225], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928220133, 0.4509, [0.0013202], [0.001333], [0.0013225], [0.0013307], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003805550711279336], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928220362, 0.45659, [0.00037934], [0.00038202], [0.00037965], [0.00038125], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003435833335970528], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928220588, 0.44641, [0.00034278], [0.00035311], [0.00034335], [0.0003441], [30], [10]], "benchmarks.TextSuite.time_divide": [[2.5334508214834553e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928220810, 0.45831, [2.522e-05], [2.5397e-05], [2.5275e-05], [2.5375e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018464978473212826], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928221039, 0.45538, [0.00018365], [0.00018535], [0.00018439], [0.00018505], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.365042651461779e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928221266, 0.44809, [4.3544e-05], [4.3812e-05], [4.3606e-05], [4.3712e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.000324408596967377], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928221494, 0.43784, [0.00032342], [0.00032574], [0.00032417], [0.00032474], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003565991375643503], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928221712, 0.44593, [0.00035519], [0.00035747], [0.00035609], [0.00035693], [29], [10]], "benchmarks.TextSuite.time_render": [[4.685463392417188e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928221933, 0.45241, [4.6655e-06], [4.7012e-06], [4.6724e-06], [4.697e-06], [2322], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.538582668856051e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928222164, 0.4562, [8.4747e-05], [8.5469e-05], [8.5327e-05], [8.5445e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.527893463767505e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928222393, 0.44906, [3.5225e-05], [3.5336e-05], [3.5256e-05], [3.5322e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002748963815975003], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928222622, 0.44825, [0.0002742], [0.0002753], [0.00027443], [0.00027514], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001095529149461072], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928222845, 0.45723, [0.0010899], [0.0010965], [0.0010916], [0.0010959], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013660130625794409], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928223077, 0.45712, [0.0013642], [0.0013703], [0.0013647], [0.0013681], [8], [10]]}, "durations": {"": 1.993987798690796}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/038e22eb-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/038e22eb-virtualenv-py3.10.json new file mode 100644 index 0000000000..3bee50c347 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/038e22eb-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "038e22eb98f43091dec8b8d0d61d64bdc81587e1", "env_name": "virtualenv-py3.10", "date": 1594138139000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.729106605775907e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928640177, 0.43136, [1.7119e-07], [1.7374e-07], [1.7273e-07], [1.7318e-07], [64462], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7035370737857387e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928640392, 0.44888, [1.6988e-07], [1.7186e-07], [1.6997e-07], [1.7048e-07], [64477], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7047515896829772e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928640616, 0.42317, [1.6924e-07], [1.7381e-07], [1.7035e-07], [1.7153e-07], [58794], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7047298404720672e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928640825, 0.44556, [1.6861e-07], [1.7187e-07], [1.6999e-07], [1.7085e-07], [63907], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.71390516393423e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928641048, 0.44882, [1.7014e-07], [1.7357e-07], [1.709e-07], [1.7308e-07], [63900], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.744885266285576e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928641273, 0.44227, [1.7217e-07], [1.7538e-07], [1.7435e-07], [1.7464e-07], [63974], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002236624999204651], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928641499, 0.43861, [0.0021997], [0.0022581], [0.0022029], [0.0022493], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928636448, 0.058911], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928636507, 0.057772], "benchmarks.StyleSuite.time_parse_ansi": [[1.1626796234512727e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928641713, 0.44141, [1.1569e-07], [1.1726e-07], [1.1604e-07], [1.1694e-07], [95978], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1625082095912241e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928641940, 0.44191, [1.1595e-07], [1.1657e-07], [1.1618e-07], [1.1635e-07], [95909], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1623847141055007e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928642166, 0.42404, [1.1596e-07], [1.1692e-07], [1.1614e-07], [1.165e-07], [87889], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928637209, 0.058057], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928637267, 0.057965], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928637325, 0.057995], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002097733397386037], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928642378, 0.43318, [0.0020881], [0.002106], [0.0020953], [0.0020996], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014561786436908214], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928642597, 0.42624, [0.0014479], [0.0014879], [0.0014535], [0.0014615], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928637809, 0.058426], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928637867, 0.059389], "benchmarks.TextSuite.time_divide": [[2.82270456867915e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928642813, 0.44399, [2.7734e-05], [2.8296e-05], [2.8159e-05], [2.8267e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018870366379971905], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928643034, 0.44717, [0.00018698], [0.00019097], [0.00018709], [0.00019079], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.2186997972062254e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928643257, 0.42928, [4.1829e-05], [4.3051e-05], [4.2103e-05], [4.226e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033193616142060845], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928643474, 0.42973, [0.00032893], [0.00033488], [0.00032933], [0.00033474], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928638805, 0.059468], "benchmarks.TextSuite.time_render": [[4.676226441955534e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928643686, 0.43895, [4.6596e-06], [4.6958e-06], [4.6666e-06], [4.6899e-06], [2334], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.542105865672056e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928643908, 0.44446, [8.4226e-05], [8.6087e-05], [8.5119e-05], [8.5493e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.3808601625834504e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928644131, 0.43505, [3.3655e-05], [3.4416e-05], [3.3714e-05], [3.3908e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028220945977089877], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928644347, 0.43169, [0.0002795], [0.00028561], [0.00028002], [0.00028487], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001159650499984208], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928644562, 0.43483, [0.0011544], [0.0011648], [0.0011576], [0.0011619], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015485863571354586], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928644777, 0.43928, [0.0015465], [0.0015546], [0.0015474], [0.0015494], [7], [10]]}, "durations": {"": 1.9543161392211914}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/03a52134-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/03a52134-virtualenv-py3.10.json new file mode 100644 index 0000000000..851cf58d0d --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/03a52134-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "03a521346841b02543fee9c24b8410ba18f5cbc2", "env_name": "virtualenv-py3.10", "date": 1592739098000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.732792605353703e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928533719, 0.43955, [1.7138e-07], [1.7406e-07], [1.7286e-07], [1.7346e-07], [64139], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6970906436346935e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928533944, 0.44915, [1.6905e-07], [1.705e-07], [1.6959e-07], [1.6989e-07], [64772], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.6982199066696146e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928534168, 0.45178, [1.6804e-07], [1.7053e-07], [1.6916e-07], [1.7004e-07], [64963], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6982711725640974e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928534392, 0.4412, [1.6924e-07], [1.7046e-07], [1.6942e-07], [1.7034e-07], [62768], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7288929496018685e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928534610, 0.44858, [1.6956e-07], [1.7443e-07], [1.7173e-07], [1.7345e-07], [64315], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.699072281307717e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928534834, 0.4454, [1.6868e-07], [1.7543e-07], [1.6949e-07], [1.7154e-07], [63640], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002187125000637025], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928535053, 0.44306, [0.00218], [0.0021985], [0.0021808], [0.0021907], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928529968, 0.058909], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928530027, 0.059107], "benchmarks.StyleSuite.time_parse_ansi": [[1.1490100967193674e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928535276, 0.43837, [1.1388e-07], [1.1596e-07], [1.1411e-07], [1.1584e-07], [96272], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1559417175171943e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928535490, 0.43868, [1.1381e-07], [1.1605e-07], [1.1413e-07], [1.1598e-07], [96547], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1592269480731486e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928535705, 0.44312, [1.1555e-07], [1.164e-07], [1.158e-07], [1.1599e-07], [96727], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928530764, 0.059019], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928530823, 0.058681], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928530881, 0.059408], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.001988930584047921], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928535920, 0.44773, [0.0019831], [0.0019934], [0.0019869], [0.0019901], [6], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014236250010851237], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928536147, 0.41848, [0.0014186], [0.001429], [0.0014217], [0.0014241], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928531371, 0.060538], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928531431, 0.060402], "benchmarks.TextSuite.time_divide": [[2.775736257808127e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928536357, 0.43079, [2.7611e-05], [2.8057e-05], [2.7665e-05], [2.7871e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001868461317427685], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928536574, 0.43723, [0.00018607], [0.00018762], [0.00018672], [0.00018697], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.197180313927806e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928536792, 0.43314, [4.1868e-05], [4.202e-05], [4.1943e-05], [4.1989e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003302661287072565], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928537007, 0.42544, [0.0003299], [0.00033073], [0.00032999], [0.00033041], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928532359, 0.057377], "benchmarks.TextSuite.time_render": [[4.669984376312342e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928537218, 0.43598, [4.6429e-06], [4.6792e-06], [4.6504e-06], [4.6743e-06], [2336], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.605167328831043e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928537440, 0.4401, [8.4488e-05], [8.6817e-05], [8.5137e-05], [8.6702e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.381108864203035e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928537661, 0.43419, [3.3735e-05], [3.4393e-05], [3.3805e-05], [3.3857e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028198704043264826], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928537877, 0.42977, [0.00027838], [0.00028552], [0.00027877], [0.00028487], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011455208894201657], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928538090, 0.43299, [0.0011423], [0.0011705], [0.0011438], [0.0011485], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015198899283339934], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928538303, 0.4321, [0.0015137], [0.0015273], [0.0015154], [0.0015216], [7], [10]]}, "durations": {"": 1.9656128883361816}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/06922006-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/06922006-virtualenv-py3.10.json new file mode 100644 index 0000000000..fe7984ec3b --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/06922006-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "06922006f2eb141255336a22e8918771d14d5760", "env_name": "virtualenv-py3.10", "date": 1596915390000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7116855250635132e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928817115, 0.45149, [1.6996e-07], [1.7372e-07], [1.7037e-07], [1.728e-07], [64422], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7205937146409013e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928817342, 0.4284, [1.7001e-07], [1.7378e-07], [1.7089e-07], [1.7296e-07], [64408], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.718094621607509e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928817557, 0.42505, [1.6959e-07], [1.7619e-07], [1.6998e-07], [1.738e-07], [58962], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.734700151950903e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928817765, 0.42576, [1.7169e-07], [1.7401e-07], [1.7311e-07], [1.7367e-07], [58813], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7283145947130278e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928817977, 0.42386, [1.7134e-07], [1.732e-07], [1.7237e-07], [1.7304e-07], [58876], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7188267216783956e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928818188, 0.44138, [1.696e-07], [1.7479e-07], [1.6988e-07], [1.7443e-07], [64405], [10]], "benchmarks.PrettySuite.time_pretty": [[0.00176616666673605], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928818413, 0.43985, [0.0017587], [0.0017705], [0.0017615], [0.001769], [6], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928813055, 0.057998], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928813113, 0.058127], "benchmarks.StyleSuite.time_parse_ansi": [[1.1574203558648017e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928818635, 0.42493, [1.1415e-07], [1.181e-07], [1.1431e-07], [1.1774e-07], [87607], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1535711243895231e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928818845, 0.4467, [1.1389e-07], [1.1713e-07], [1.1419e-07], [1.167e-07], [94221], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1586251464308279e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928819067, 0.42387, [1.1517e-07], [1.1694e-07], [1.152e-07], [1.1659e-07], [87613], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928813824, 0.058092], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928813882, 0.057965], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928813940, 0.057861], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002284054202027619], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928819278, 0.43931, [0.0022566], [0.0023089], [0.0022619], [0.0023023], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014851547873279613], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928819500, 0.43252, [0.0014655], [0.0015028], [0.0014695], [0.0015002], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006723583326674997], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928819717, 0.42797, [0.00067161], [0.00067476], [0.00067182], [0.00067301], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.000555773025936153], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928819928, 0.43679, [0.00054603], [0.00056113], [0.00055471], [0.00055918], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8365185540966004e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928820143, 0.44351, [2.8288e-05], [2.8557e-05], [2.8321e-05], [2.8437e-05], [380], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00019076937710531383], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928820364, 0.44435, [0.00019003], [0.00019103], [0.00019072], [0.00019084], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.285541601711884e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928820586, 0.43266, [4.2737e-05], [4.3026e-05], [4.2791e-05], [4.29e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033007056411025267], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928820806, 0.42771, [0.0003297], [0.00033134], [0.00032993], [0.00033064], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928815745, 0.05813], "benchmarks.TextSuite.time_render": [[4.671494408579894e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928821019, 0.43625, [4.6631e-06], [4.6778e-06], [4.6651e-06], [4.6749e-06], [2326], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.538090562040911e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928821241, 0.43988, [8.4912e-05], [8.5618e-05], [8.5161e-05], [8.5396e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.424668306437363e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928821463, 0.44361, [3.4096e-05], [3.4381e-05], [3.423e-05], [3.4347e-05], [314], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002832049594380314], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928821683, 0.43273, [0.00028055], [0.00028555], [0.00028097], [0.00028471], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011634791654715729], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928821900, 0.44061, [0.0011491], [0.0011764], [0.0011613], [0.0011699], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015536130709473842], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928822120, 0.43993, [0.0015497], [0.0015567], [0.0015522], [0.0015542], [7], [10]]}, "durations": {"": 1.9717209339141846}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/07d51ffc-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/07d51ffc-virtualenv-py3.10.json new file mode 100644 index 0000000000..687e93f6fe --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/07d51ffc-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "07d51ffc1aee6f16bd2e5a25b4e82850fb9ed778", "env_name": "virtualenv-py3.10", "date": 1638042089000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7045601798784003e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929425854, 0.43978, [1.6946e-07], [1.7115e-07], [1.7022e-07], [1.7069e-07], [59058], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7007710882553625e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929426074, 0.46565, [1.6853e-07], [1.705e-07], [1.6958e-07], [1.702e-07], [64636], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.699667194811625e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929426307, 0.4621, [1.6879e-07], [1.778e-07], [1.6982e-07], [1.7032e-07], [64557], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6998402696141218e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929426541, 0.46553, [1.685e-07], [1.7093e-07], [1.6928e-07], [1.7021e-07], [64484], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6968556558179902e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929426774, 0.46274, [1.6922e-07], [1.7062e-07], [1.6943e-07], [1.6986e-07], [63972], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6945227762756885e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929427005, 0.46476, [1.6851e-07], [1.7005e-07], [1.69e-07], [1.6993e-07], [64498], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001105658350570593], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929427238, 0.45655, [0.0011016], [0.001111], [0.0011041], [0.0011073], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001518580355748002], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929427464, 0.45154, [0.0015111], [0.0015253], [0.0015168], [0.0015196], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013998801241541514], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929427692, 0.45335, [0.001397], [0.0014065], [0.0013997], [0.0014036], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1418527013357237e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929427918, 0.45765, [1.1367e-07], [1.148e-07], [1.1394e-07], [1.1437e-07], [96300], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1508352104765355e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929428150, 0.45967, [1.1378e-07], [1.1636e-07], [1.1381e-07], [1.1606e-07], [94443], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1420043098721425e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929428378, 0.46593, [1.1382e-07], [1.1514e-07], [1.1403e-07], [1.1426e-07], [96522], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929422271, 0.066153], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929422337, 0.065652], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929422403, 0.066], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023493167012929917], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929428612, 0.45915, [0.0023373], [0.0023583], [0.0023399], [0.0023545], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014035182484803954], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929428845, 0.44948, [0.0013943], [0.0014116], [0.0014012], [0.0014074], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037731919655925594], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929429072, 0.4531, [0.00037699], [0.00037793], [0.00037721], [0.00037747], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003419818550032834], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929429298, 0.45536, [0.00034042], [0.00035045], [0.00034131], [0.00034275], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5385004668529115e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929429524, 0.46305, [2.532e-05], [2.5476e-05], [2.5353e-05], [2.5393e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018469576752977446], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929429756, 0.45561, [0.00018439], [0.00018529], [0.00018451], [0.00018509], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.345706306261623e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929429983, 0.44723, [4.3349e-05], [4.3497e-05], [4.3425e-05], [4.347e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003234134994934059], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929430211, 0.45553, [0.00032318], [0.00032389], [0.00032337], [0.00032347], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003560984312508512], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929430437, 0.44623, [0.00035527], [0.00035724], [0.00035577], [0.0003564], [29], [10]], "benchmarks.TextSuite.time_render": [[4.676214165901498e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929430659, 0.45324, [4.6511e-06], [4.703e-06], [4.6692e-06], [4.6777e-06], [2337], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.516666533491449e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929430890, 0.45686, [8.4703e-05], [8.5451e-05], [8.5134e-05], [8.5355e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.509875646808983e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929431120, 0.44945, [3.5058e-05], [3.5178e-05], [3.5076e-05], [3.5163e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027409923648902853], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929431348, 0.44684, [0.00027297], [0.00027462], [0.00027361], [0.00027432], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013568151262006722], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929431571, 0.45476, [0.0013548], [0.001363], [0.0013551], [0.0013601], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001455651787442288], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929431803, 0.44607, [0.0014522], [0.0014585], [0.0014538], [0.0014567], [7], [10]]}, "durations": {"": 1.9834160804748535}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/0db0cbd0-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/0db0cbd0-virtualenv-py3.10.json new file mode 100644 index 0000000000..6cee1c89ea --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/0db0cbd0-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "0db0cbd00598ad3cfc625eda301307f69c89d3f9", "env_name": "virtualenv-py3.10", "date": 1595434640000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7362879180977224e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928726948, 0.44285, [1.7317e-07], [1.7401e-07], [1.733e-07], [1.7379e-07], [64022], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.734515236767467e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928727174, 0.42776, [1.7232e-07], [1.7393e-07], [1.7327e-07], [1.7366e-07], [59400], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7043707485739963e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928727386, 0.44866, [1.7e-07], [1.7099e-07], [1.701e-07], [1.7073e-07], [64394], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.719459354762018e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928727610, 0.44323, [1.6908e-07], [1.7406e-07], [1.7e-07], [1.7319e-07], [64904], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7312164058360416e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928727827, 0.443, [1.6978e-07], [1.7764e-07], [1.701e-07], [1.7323e-07], [65192], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.726727310866345e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928728044, 0.43261, [1.6918e-07], [1.7389e-07], [1.6962e-07], [1.7367e-07], [58649], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022632042033364995], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928728263, 0.44683, [0.0022263], [0.0022977], [0.0022312], [0.0022891], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928722905, 0.0583], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928722964, 0.058042], "benchmarks.StyleSuite.time_parse_ansi": [[1.1642906299976313e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928728488, 0.42206, [1.1573e-07], [1.1719e-07], [1.1615e-07], [1.1671e-07], [87070], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1636819952552777e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928728699, 0.43262, [1.1582e-07], [1.1681e-07], [1.1627e-07], [1.1666e-07], [96646], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1560313316913222e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928728916, 0.45013, [1.1452e-07], [1.1668e-07], [1.1492e-07], [1.1614e-07], [95648], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928723673, 0.058083], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928723731, 0.057826], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928723789, 0.057979], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002123166699311696], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928729142, 0.43623, [0.0020971], [0.0021399], [0.0021067], [0.0021358], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014861785727719378], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928729364, 0.43197, [0.0014753], [0.0015121], [0.0014779], [0.0014992], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006712447811878519], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928729584, 0.43655, [0.00066867], [0.00067368], [0.00066968], [0.00067302], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005566228156615245], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928729805, 0.43007, [0.00055385], [0.0005591], [0.00055608], [0.00055735], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.816003134356223e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928730022, 0.44409, [2.7814e-05], [2.8399e-05], [2.7839e-05], [2.8381e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018715350852927947], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928730243, 0.44446, [0.00018568], [0.00018992], [0.00018678], [0.00018798], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.26104741353742e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928730467, 0.44198, [4.202e-05], [4.314e-05], [4.2145e-05], [4.3041e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033586962907124435], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928730689, 0.43289, [0.00033536], [0.00033642], [0.00033566], [0.00033628], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928725585, 0.058448], "benchmarks.TextSuite.time_render": [[4.678828615718841e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928730905, 0.43858, [4.6682e-06], [4.7782e-06], [4.672e-06], [4.7475e-06], [2328], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.66399726646705e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928731129, 0.44532, [8.6226e-05], [8.7004e-05], [8.6491e-05], [8.6881e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.442041802562929e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928731355, 0.44347, [3.3952e-05], [3.5991e-05], [3.4377e-05], [3.4581e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028177590512141993], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928731577, 0.43448, [0.00027849], [0.00028625], [0.00027876], [0.00028524], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011528171663586465], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928731796, 0.43614, [0.0011305], [0.0011759], [0.0011328], [0.0011729], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015352022850752942], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928732015, 0.43922, [0.0015175], [0.001555], [0.0015207], [0.0015485], [7], [10]]}, "durations": {"": 1.9555010795593262}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/11c00224-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/11c00224-virtualenv-py3.10.json new file mode 100644 index 0000000000..96c9ee633c --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/11c00224-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "11c00224398aae3ef5fcf363641c249c1752af7d", "env_name": "virtualenv-py3.10", "date": 1593549611000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7284974776044082e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928616040, 0.44173, [1.7153e-07], [1.7402e-07], [1.7255e-07], [1.7298e-07], [64568], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7351940855857562e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928616267, 0.4269, [1.7291e-07], [1.7432e-07], [1.7326e-07], [1.7368e-07], [58763], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7025654007106745e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928616478, 0.44956, [1.6996e-07], [1.7098e-07], [1.702e-07], [1.7083e-07], [64487], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.706075797615736e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928616702, 0.44942, [1.6902e-07], [1.7125e-07], [1.7035e-07], [1.7071e-07], [64394], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7302739804627536e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928616925, 0.43385, [1.7236e-07], [1.7358e-07], [1.7264e-07], [1.7327e-07], [65041], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7105373843932488e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928617141, 0.44901, [1.6974e-07], [1.7289e-07], [1.7026e-07], [1.7251e-07], [64237], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022084375028498474], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928617366, 0.43535, [0.0021925], [0.0022162], [0.0022023], [0.0022119], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928612308, 0.058177], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928612366, 0.058029], "benchmarks.StyleSuite.time_parse_ansi": [[1.1611713504418965e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928617581, 0.44885, [1.1563e-07], [1.1724e-07], [1.1592e-07], [1.1654e-07], [95202], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1629571403233272e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928617806, 0.43068, [1.1597e-07], [1.1678e-07], [1.1611e-07], [1.1649e-07], [96497], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1554933307194386e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928618022, 0.44858, [1.1416e-07], [1.1636e-07], [1.1451e-07], [1.1631e-07], [95443], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928613089, 0.057768], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928613147, 0.057693], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928613205, 0.057767], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002041262501734309], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928618246, 0.42348, [0.0020331], [0.0020749], [0.0020382], [0.0020422], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001439104143563392], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928618460, 0.42148, [0.001432], [0.0014473], [0.0014368], [0.001443], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928613682, 0.058205], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928613740, 0.058625], "benchmarks.TextSuite.time_divide": [[2.7814408371417603e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928618672, 0.43816, [2.7728e-05], [2.7947e-05], [2.7771e-05], [2.7877e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001878881578848354], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928618891, 0.43937, [0.00018646], [0.00018863], [0.0001873], [0.0001884], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2432207685065336e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928619110, 0.43813, [4.2149e-05], [4.287e-05], [4.218e-05], [4.2672e-05], [248], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003323165320550963], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928619328, 0.4298, [0.0003309], [0.00033885], [0.00033172], [0.00033744], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928614675, 0.058317], "benchmarks.TextSuite.time_render": [[4.693972607015483e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928619543, 0.43136, [4.6757e-06], [4.7207e-06], [4.6872e-06], [4.6989e-06], [2282], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.568864438984747e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928619762, 0.44176, [8.4236e-05], [8.7142e-05], [8.447e-05], [8.6796e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.368297283844159e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928619983, 0.43646, [3.3481e-05], [3.3825e-05], [3.3502e-05], [3.3776e-05], [313], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028147971622545173], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928620200, 0.42968, [0.00027839], [0.000286], [0.00027906], [0.00028342], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011670578322890732], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928620414, 0.43745, [0.0011661], [0.0011724], [0.0011666], [0.0011687], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015473719998096514], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928620631, 0.43689, [0.0015434], [0.0015554], [0.0015454], [0.0015505], [7], [10]]}, "durations": {"": 1.95790696144104}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/11c305e1-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/11c305e1-virtualenv-py3.10.json new file mode 100644 index 0000000000..59edef9624 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/11c305e1-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "11c305e1722a81c553a41fb9358f1058231757c5", "env_name": "virtualenv-py3.10", "date": 1617124192000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7040699938447585e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928130588, 0.45796, [1.6952e-07], [1.709e-07], [1.7005e-07], [1.7061e-07], [64650], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6964852386183715e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928130815, 0.45592, [1.6857e-07], [1.7045e-07], [1.6935e-07], [1.6973e-07], [64599], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.702935102568297e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928131043, 0.4485, [1.698e-07], [1.7319e-07], [1.7008e-07], [1.7126e-07], [64427], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.697923450791509e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928131272, 0.46092, [1.6925e-07], [1.7072e-07], [1.6969e-07], [1.7011e-07], [64246], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.698945704612123e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928131501, 0.45893, [1.6897e-07], [1.7113e-07], [1.6945e-07], [1.7066e-07], [64593], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6976089933961742e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928131730, 0.44973, [1.6911e-07], [1.7176e-07], [1.6948e-07], [1.7013e-07], [65027], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010057624487672002], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928131962, 0.4368, [0.0010035], [0.0010095], [0.0010052], [0.0010074], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014041302511031972], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928132179, 0.44692, [0.0013982], [0.0014137], [0.0014015], [0.001409], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014043098763067974], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928132402, 0.44683, [0.001401], [0.0014103], [0.0014025], [0.0014058], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.140019237469983e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928132625, 0.45471, [1.1362e-07], [1.1424e-07], [1.1393e-07], [1.1404e-07], [95905], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1478145308663167e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928132852, 0.45476, [1.1368e-07], [1.1602e-07], [1.141e-07], [1.154e-07], [95849], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.141980623645123e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928133080, 0.45583, [1.1378e-07], [1.1497e-07], [1.1402e-07], [1.1452e-07], [95793], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928127090, 0.061864], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928127152, 0.06233], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928127215, 0.061847], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0020629041013307866], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928133309, 0.44416, [0.0020464], [0.0020839], [0.0020508], [0.0020708], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012537265010905685], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928133530, 0.43507, [0.0012406], [0.0012608], [0.0012466], [0.0012574], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006594336255147937], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928133746, 0.4381, [0.000657], [0.00066519], [0.00065815], [0.00066171], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005484693155219582], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928133967, 0.44419, [0.00054561], [0.00055549], [0.00054714], [0.0005526], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5705258770675706e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928134188, 0.45615, [2.5324e-05], [2.6081e-05], [2.5411e-05], [2.6e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001846641467197734], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928134417, 0.44897, [0.00018407], [0.00018533], [0.00018425], [0.00018515], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.361301223386307e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928134641, 0.43957, [4.3442e-05], [4.3824e-05], [4.3482e-05], [4.379e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003249576613832746], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928134864, 0.42981, [0.00032416], [0.00032648], [0.00032463], [0.00032545], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035477660351497086], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928135078, 0.43718, [0.00035447], [0.0003559], [0.00035458], [0.00035523], [29], [10]], "benchmarks.TextSuite.time_render": [[4.692818238968194e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928135295, 0.44495, [4.6753e-06], [4.7115e-06], [4.6831e-06], [4.7019e-06], [2319], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.551689750775255e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928135521, 0.44984, [8.5359e-05], [8.5939e-05], [8.5394e-05], [8.5681e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.5231459565976076e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928135747, 0.44418, [3.5105e-05], [3.5493e-05], [3.5142e-05], [3.5382e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027465598712949897], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928135974, 0.44849, [0.00027312], [0.00027628], [0.00027334], [0.00027584], [39], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001102583299507387], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928136199, 0.43834, [0.0010966], [0.0011175], [0.0010985], [0.0011066], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014873571427805083], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928136416, 0.43532, [0.0014852], [0.0014935], [0.0014866], [0.001488], [7], [10]]}, "durations": {"": 2.0018699169158936}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/1442dd77-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/1442dd77-virtualenv-py3.10.json new file mode 100644 index 0000000000..0cf41d2e7b --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/1442dd77-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "1442dd7759b4bc92ed4d79a6bb5fbf29b9df4f76", "env_name": "virtualenv-py3.10", "date": 1639560700000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7012068692044375e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928289810, 0.46694, [1.6882e-07], [1.7102e-07], [1.6943e-07], [1.704e-07], [64659], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7018720169784255e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928290042, 0.46369, [1.6952e-07], [1.7064e-07], [1.6998e-07], [1.7053e-07], [64532], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7047895456152823e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928290274, 0.46468, [1.6957e-07], [1.7098e-07], [1.7036e-07], [1.7077e-07], [64337], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7099208604379628e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928290505, 0.46058, [1.6949e-07], [1.7299e-07], [1.702e-07], [1.7223e-07], [63621], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7060387806580736e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928290733, 0.46622, [1.6981e-07], [1.7312e-07], [1.7011e-07], [1.7109e-07], [64465], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6985979406589e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928290964, 0.46389, [1.6888e-07], [1.7155e-07], [1.6934e-07], [1.7073e-07], [64070], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011093499502749181], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928291194, 0.45719, [0.0011042], [0.0011163], [0.0011072], [0.0011103], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015499642842249678], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928291421, 0.44629, [0.0015439], [0.0015571], [0.0015482], [0.0015526], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013974713128845906], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928291642, 0.45178, [0.0013927], [0.0014066], [0.0013949], [0.0014027], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1407390702467521e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928291868, 0.46339, [1.1372e-07], [1.1466e-07], [1.1402e-07], [1.1432e-07], [96371], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1481372948254572e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928292101, 0.45909, [1.1381e-07], [1.1592e-07], [1.1418e-07], [1.1524e-07], [94854], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1422449103232493e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928292329, 0.46237, [1.1344e-07], [1.1474e-07], [1.1406e-07], [1.1431e-07], [96055], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928286243, 0.065126], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928286308, 0.064956], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928286373, 0.064969], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002332408301299438], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928292560, 0.45581, [0.0023223], [0.0023418], [0.0023291], [0.0023332], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001395356748616905], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928292793, 0.45096, [0.0013879], [0.0014041], [0.001393], [0.0014014], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037334339717274597], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928293019, 0.46011, [0.00036916], [0.00037875], [0.00036929], [0.00037733], [29], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003428870967904767], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928293250, 0.45501, [0.00034065], [0.00035293], [0.00034105], [0.00034885], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5384536367172085e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928293476, 0.45814, [2.5186e-05], [2.5561e-05], [2.5268e-05], [2.5493e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018477334479343724], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928293705, 0.45602, [0.00018358], [0.00018527], [0.00018469], [0.0001849], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.369230763722769e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928293934, 0.4482, [4.3174e-05], [4.4067e-05], [4.3212e-05], [4.3954e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003243024196220381], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928294163, 0.43568, [0.00032299], [0.00032623], [0.00032391], [0.00032444], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035655387960261954], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928294380, 0.44502, [0.00035515], [0.00035812], [0.00035577], [0.00035678], [29], [10]], "benchmarks.TextSuite.time_render": [[4.67811063834383e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928294601, 0.45176, [4.6551e-06], [4.699e-06], [4.6662e-06], [4.6872e-06], [2332], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.541865076588851e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928294830, 0.45497, [8.4623e-05], [8.6397e-05], [8.5213e-05], [8.5595e-05], [126], [10]], "benchmarks.TextSuite.time_split": [[3.503245966238601e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928295057, 0.4499, [3.4982e-05], [3.5079e-05], [3.5008e-05], [3.505e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027448794686566353], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928295286, 0.44659, [0.00027325], [0.00027609], [0.00027406], [0.00027466], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013566120014729677], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928295509, 0.45296, [0.0013557], [0.001361], [0.001356], [0.0013573], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014524136432945462], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928295738, 0.44389, [0.0014489], [0.0014573], [0.0014499], [0.0014536], [7], [10]]}, "durations": {"": 2.0702707767486572}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/15623c5a-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/15623c5a-virtualenv-py3.10.json new file mode 100644 index 0000000000..d442178aa5 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/15623c5a-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "15623c5a57bf758b18542d5293ee319bbd59e829", "env_name": "virtualenv-py3.10", "date": 1614631595000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7020787005396147e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929089823, 0.45996, [1.6941e-07], [1.7215e-07], [1.6989e-07], [1.7079e-07], [64485], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7092673771154095e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929090054, 0.45482, [1.6949e-07], [1.7234e-07], [1.7e-07], [1.7151e-07], [63614], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7118832265832778e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929090280, 0.46223, [1.7013e-07], [1.7411e-07], [1.707e-07], [1.7141e-07], [64578], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6962613380158e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929090510, 0.44887, [1.6868e-07], [1.7118e-07], [1.6912e-07], [1.7012e-07], [62624], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7009122965568404e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929090733, 0.45688, [1.6908e-07], [1.7287e-07], [1.6945e-07], [1.7046e-07], [64546], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7011294502290056e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929090961, 0.45667, [1.6904e-07], [1.7093e-07], [1.6954e-07], [1.7062e-07], [64381], [10]], "benchmarks.PrettySuite.time_pretty": [[0.000972337135780518], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929091189, 0.44401, [0.00096904], [0.00097486], [0.00097048], [0.00097325], [11], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0013077630628686165], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929091415, 0.43937, [0.0013022], [0.001312], [0.0013064], [0.0013097], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013684609366464429], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929091639, 0.44136, [0.001358], [0.0013773], [0.0013608], [0.0013732], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1430164070272298e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929091859, 0.45508, [1.1396e-07], [1.1494e-07], [1.1412e-07], [1.1444e-07], [95443], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1491249709035666e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929092087, 0.45343, [1.1386e-07], [1.1562e-07], [1.1421e-07], [1.155e-07], [94494], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1431698443041508e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929092313, 0.45685, [1.1413e-07], [1.1913e-07], [1.1426e-07], [1.1702e-07], [95582], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929086315, 0.06262], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929086378, 0.062341], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929086440, 0.062366], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.00207476660143584], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929092540, 0.4364, [0.0020652], [0.0020805], [0.0020677], [0.0020774], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001251054749445757], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929092762, 0.43627, [0.0012469], [0.001262], [0.0012485], [0.0012552], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.000661882812892145], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929092978, 0.44035, [0.00066045], [0.00066339], [0.00066146], [0.00066277], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005466436575117864], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929093201, 0.44265, [0.00054342], [0.0005538], [0.0005444], [0.00054695], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5366444275455157e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929093420, 0.45683, [2.5271e-05], [2.5535e-05], [2.5299e-05], [2.5462e-05], [431], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018469684487329153], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929093647, 0.44995, [0.00018411], [0.00018502], [0.00018453], [0.00018493], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3361421063191706e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929093872, 0.4422, [4.3335e-05], [4.3506e-05], [4.3349e-05], [4.3425e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032445834817322475], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929094096, 0.4506, [0.00032343], [0.0003253], [0.00032419], [0.00032453], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035498203390583007], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929094320, 0.44019, [0.00035425], [0.00035599], [0.00035485], [0.00035568], [29], [10]], "benchmarks.TextSuite.time_render": [[4.687589526901436e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929094538, 0.44858, [4.6745e-06], [4.6954e-06], [4.6828e-06], [4.6901e-06], [2329], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.555615625027713e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929094766, 0.45088, [8.4769e-05], [8.5884e-05], [8.5105e-05], [8.5856e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.505739197510505e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929094992, 0.44399, [3.5007e-05], [3.5136e-05], [3.5037e-05], [3.5116e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027359703955497886], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929095218, 0.44023, [0.00027306], [0.00027515], [0.00027345], [0.000274], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010967875001369975], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929095438, 0.43781, [0.001095], [0.0011008], [0.0010958], [0.001098], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014890833595667835], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929095656, 0.4383, [0.001485], [0.0014968], [0.0014866], [0.0014923], [7], [10]]}, "durations": {"": 2.004281997680664}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/1cdcd1ae-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/1cdcd1ae-virtualenv-py3.10.json new file mode 100644 index 0000000000..39f54bf94f --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/1cdcd1ae-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "1cdcd1ae6921ada4c9d53ca476b2155f19f9399d", "env_name": "virtualenv-py3.10", "date": 1599498296000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.705568368247799e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928882805, 0.45364, [1.6962e-07], [1.7342e-07], [1.7015e-07], [1.7115e-07], [64527], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7353461403789348e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928883034, 0.42549, [1.7268e-07], [1.7396e-07], [1.7299e-07], [1.737e-07], [58560], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7316303125600367e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928883246, 0.4294, [1.7168e-07], [1.7478e-07], [1.7298e-07], [1.7352e-07], [63497], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7447719773084267e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928883461, 0.44356, [1.7288e-07], [1.7668e-07], [1.7323e-07], [1.7545e-07], [64643], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7148101237034193e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928883681, 0.42463, [1.701e-07], [1.7453e-07], [1.7052e-07], [1.7326e-07], [59012], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7355933307819902e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928883892, 0.43809, [1.7275e-07], [1.7616e-07], [1.7321e-07], [1.7415e-07], [58610], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011024979015928694], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928884116, 0.43685, [0.0010944], [0.0011099], [0.0010967], [0.0011031], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928878599, 0.057919], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014977678552635812], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928884338, 0.42821, [0.0014925], [0.0015054], [0.0014937], [0.0015007], [7], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.166435123150466e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928884555, 0.45026, [1.1584e-07], [1.1744e-07], [1.1616e-07], [1.1723e-07], [94647], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1640746952978313e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928884782, 0.43907, [1.1609e-07], [1.1776e-07], [1.1617e-07], [1.1644e-07], [96741], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1622925278202787e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928884996, 0.42174, [1.1371e-07], [1.1684e-07], [1.1418e-07], [1.1632e-07], [87578], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928879529, 0.057596], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928879586, 0.057483], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928879644, 0.057169], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.003037343623873312], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928885207, 0.45489, [0.00298], [0.003058], [0.0030059], [0.0030443], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0019962360844753375], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928885437, 0.44739, [0.0019745], [0.0020171], [0.0019819], [0.0020121], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006737250000393639], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928885666, 0.43149, [0.00067005], [0.00067538], [0.00067066], [0.00067494], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005601316056287799], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928885881, 0.43921, [0.00055301], [0.00056437], [0.00055602], [0.00056384], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.818369192184331e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928886100, 0.44158, [2.7905e-05], [2.8463e-05], [2.7962e-05], [2.842e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001909163070274844], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928886322, 0.44359, [0.00018748], [0.00019467], [0.00018879], [0.00019221], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2670565776515796e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928886546, 0.44656, [4.2139e-05], [4.4498e-05], [4.2213e-05], [4.3079e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033311961282555375], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928886772, 0.42921, [0.00032975], [0.00033847], [0.00032986], [0.00033756], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928881456, 0.057662], "benchmarks.TextSuite.time_render": [[4.760116070671883e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928886988, 0.42257, [4.742e-06], [4.7767e-06], [4.7449e-06], [4.7646e-06], [2115], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.695512392128317e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928887197, 0.41961, [8.6476e-05], [8.7212e-05], [8.6858e-05], [8.7033e-05], [117], [10]], "benchmarks.TextSuite.time_split": [[3.436987540095497e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928887408, 0.43994, [3.4216e-05], [3.4482e-05], [3.4271e-05], [3.4474e-05], [313], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028506587802218527], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928887627, 0.43164, [0.00028086], [0.00028588], [0.00028401], [0.0002853], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001164951387585865], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928887843, 0.42585, [0.0011635], [0.0011668], [0.0011642], [0.0011661], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001557139931329792], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928888059, 0.44239, [0.0015535], [0.0016329], [0.0015546], [0.0015674], [7], [10]]}, "durations": {"": 1.9608781337738037}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/1f3f7f1e-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/1f3f7f1e-virtualenv-py3.10.json new file mode 100644 index 0000000000..52ad68e547 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/1f3f7f1e-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "1f3f7f1e33f77838a2cc31bd9d241a93c871047f", "env_name": "virtualenv-py3.10", "date": 1608307479000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.703931932788809e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929161288, 0.45859, [1.6923e-07], [1.7082e-07], [1.701e-07], [1.7065e-07], [64392], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7020538441303092e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929161517, 0.45514, [1.6879e-07], [1.7066e-07], [1.6977e-07], [1.7031e-07], [64854], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7056068405892232e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929161746, 0.45807, [1.693e-07], [1.733e-07], [1.7035e-07], [1.7088e-07], [64399], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.705333182701678e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929161975, 0.45658, [1.6917e-07], [1.7199e-07], [1.7018e-07], [1.7079e-07], [64289], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7041273254645358e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929162205, 0.44858, [1.6973e-07], [1.7252e-07], [1.7013e-07], [1.7082e-07], [64818], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7027633476621383e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929162434, 0.45952, [1.6857e-07], [1.7058e-07], [1.7003e-07], [1.7033e-07], [64572], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010267562494846061], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929162664, 0.44331, [0.0010235], [0.0010305], [0.0010255], [0.0010279], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014362797852040135], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929162884, 0.43646, [0.0014286], [0.0014465], [0.0014338], [0.0014394], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014140286239125999], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929163101, 0.44445, [0.0014062], [0.0014202], [0.0014084], [0.0014154], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.142687560373927e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929163325, 0.45463, [1.137e-07], [1.1446e-07], [1.1421e-07], [1.1434e-07], [95929], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1458354459388465e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929163552, 0.4544, [1.1417e-07], [1.1476e-07], [1.1445e-07], [1.1468e-07], [95416], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1472335320262367e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929163780, 0.4554, [1.1442e-07], [1.1512e-07], [1.1458e-07], [1.15e-07], [95443], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929157775, 0.062463], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929157837, 0.061992], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929157899, 0.062211], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0032340572506655008], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929164009, 0.46805, [0.0032236], [0.0032444], [0.0032287], [0.0032357], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0021162582997931167], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929164243, 0.44337, [0.0021092], [0.0021347], [0.0021129], [0.0021201], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006617669696424855], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929164468, 0.43891, [0.00065738], [0.00066599], [0.00066033], [0.00066231], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005468464997217158], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929164690, 0.44217, [0.00054411], [0.00054843], [0.00054538], [0.00054767], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.7952577626197842e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929164908, 0.44657, [2.7909e-05], [2.7989e-05], [2.7919e-05], [2.7967e-05], [380], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018724159663338868], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929165131, 0.44684, [0.00018651], [0.00018754], [0.00018714], [0.00018733], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.227643285228285e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929165354, 0.43917, [4.2036e-05], [4.258e-05], [4.2188e-05], [4.2403e-05], [253], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003293743066024035], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929165578, 0.43507, [0.00032889], [0.00033153], [0.00032921], [0.00032998], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003918501729808318], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929165795, 0.43461, [0.00039051], [0.00039799], [0.00039136], [0.00039218], [26], [10]], "benchmarks.TextSuite.time_render": [[4.68115087639879e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929166011, 0.44561, [4.6684e-06], [4.6924e-06], [4.6784e-06], [4.686e-06], [2333], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.53504219548995e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929166237, 0.44988, [8.5094e-05], [8.6095e-05], [8.5284e-05], [8.547e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.385456750383511e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929166464, 0.44438, [3.3742e-05], [3.3929e-05], [3.3823e-05], [3.3879e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027912950011070917], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929166685, 0.43738, [0.00027865], [0.00027997], [0.00027899], [0.00027929], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011472963330258303], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929166903, 0.44227, [0.0011447], [0.00115], [0.0011466], [0.001148], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001529297641744571], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929167122, 0.4453, [0.0015237], [0.0015325], [0.0015285], [0.00153], [7], [10]]}, "durations": {"": 1.9861979484558105}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/1ffbd443-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/1ffbd443-virtualenv-py3.10.json new file mode 100644 index 0000000000..e71ade3748 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/1ffbd443-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "1ffbd443774cbc4bf9ddd968aef7c03322f33cf0", "env_name": "virtualenv-py3.10", "date": 1596366683000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7070232469184862e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928804297, 0.45023, [1.6927e-07], [1.7389e-07], [1.7042e-07], [1.7213e-07], [64436], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7300031985374115e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928804522, 0.43027, [1.714e-07], [1.7366e-07], [1.7285e-07], [1.7337e-07], [59395], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7071083096988122e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928804735, 0.43349, [1.6954e-07], [1.7407e-07], [1.7012e-07], [1.727e-07], [58675], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7364779467078806e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928804955, 0.44766, [1.7322e-07], [1.7426e-07], [1.7342e-07], [1.7405e-07], [62093], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.733705418271591e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928805177, 0.4257, [1.7183e-07], [1.7385e-07], [1.7273e-07], [1.7346e-07], [58598], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.719841129250439e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928805388, 0.43326, [1.6999e-07], [1.7562e-07], [1.7034e-07], [1.7397e-07], [58475], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002223750000121072], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928805607, 0.43956, [0.0021902], [0.0022511], [0.002196], [0.0022475], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928800258, 0.058885], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928800317, 0.058889], "benchmarks.StyleSuite.time_parse_ansi": [[1.1622428057566312e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928805822, 0.4264, [1.1594e-07], [1.1743e-07], [1.1599e-07], [1.163e-07], [87716], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1646962131907206e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928806036, 0.42635, [1.1609e-07], [1.1701e-07], [1.1633e-07], [1.1665e-07], [87479], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1598065675378016e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928806250, 0.42715, [1.1553e-07], [1.1744e-07], [1.1578e-07], [1.1633e-07], [87809], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928801016, 0.058796], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928801075, 0.058582], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928801133, 0.058738], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002116570805083029], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928806463, 0.43813, [0.0020973], [0.0021369], [0.0021035], [0.0021333], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014812797848467846], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928806686, 0.43095, [0.001464], [0.0014953], [0.0014672], [0.0014931], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006757395931344945], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928806904, 0.4392, [0.00067077], [0.00068027], [0.00067389], [0.00067737], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005583234742516652], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928807126, 0.44214, [0.00055388], [0.00056027], [0.00055668], [0.00055916], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8112012962508316e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928807347, 0.44493, [2.7807e-05], [2.8319e-05], [2.7876e-05], [2.8245e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001871710438424264], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928807570, 0.43907, [0.0001869], [0.0001875], [0.00018704], [0.00018733], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.249875195091591e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928807789, 0.43056, [4.2075e-05], [4.2896e-05], [4.2099e-05], [4.2845e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003327284667951365], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928808007, 0.43129, [0.00032855], [0.00033677], [0.00032907], [0.00033652], [30], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928802930, 0.059357], "benchmarks.TextSuite.time_render": [[4.6815491127566895e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928808224, 0.44173, [4.6507e-06], [4.7003e-06], [4.6611e-06], [4.6843e-06], [2321], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.508267729473483e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928808451, 0.44288, [8.4418e-05], [8.6252e-05], [8.4738e-05], [8.5299e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.420339262214465e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928808675, 0.44164, [3.3854e-05], [3.4396e-05], [3.3906e-05], [3.439e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028196733753272404], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928808893, 0.43339, [0.00027793], [0.00028545], [0.00027845], [0.00028485], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011584282231827578], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928809107, 0.42614, [0.0011415], [0.001166], [0.0011451], [0.0011654], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015368482854682952], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928809322, 0.43864, [0.0015204], [0.0015597], [0.001523], [0.0015532], [7], [10]]}, "durations": {"": 1.9934520721435547}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/20024635-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/20024635-virtualenv-py3.10.json new file mode 100644 index 0000000000..02281c3845 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/20024635-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "20024635c06c22879fd2fd1e380ec4cccd9935dd", "env_name": "virtualenv-py3.10", "date": 1623261093000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6983895555897055e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928361639, 0.4602, [1.6891e-07], [1.7034e-07], [1.6976e-07], [1.7013e-07], [64504], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.704207071253254e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928361868, 0.46025, [1.6849e-07], [1.7102e-07], [1.7016e-07], [1.7067e-07], [64697], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7004455784028058e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928362099, 0.44868, [1.6891e-07], [1.7033e-07], [1.6992e-07], [1.7016e-07], [64747], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7039779182067198e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928362329, 0.45904, [1.6909e-07], [1.7133e-07], [1.6983e-07], [1.7088e-07], [64212], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.704956315614673e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928362559, 0.45894, [1.6841e-07], [1.7769e-07], [1.7033e-07], [1.7064e-07], [64209], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7057127042677694e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928362788, 0.45534, [1.6969e-07], [1.7121e-07], [1.7033e-07], [1.7086e-07], [64171], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001026414601074066], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928363015, 0.4439, [0.0010212], [0.0010344], [0.0010224], [0.0010313], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014226536241039867], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928363236, 0.45289, [0.001416], [0.0014322], [0.0014201], [0.0014266], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0012958463121321984], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928363461, 0.44525, [0.0012861], [0.0013043], [0.0012892], [0.0012972], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1416102132025705e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928363682, 0.45572, [1.1396e-07], [1.1461e-07], [1.1407e-07], [1.1428e-07], [95950], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1438691305359791e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928363911, 0.45515, [1.1394e-07], [1.1478e-07], [1.1431e-07], [1.1448e-07], [95409], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1421868408540876e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928364138, 0.45615, [1.1368e-07], [1.1473e-07], [1.1415e-07], [1.1444e-07], [95926], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928358128, 0.0632], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928358191, 0.06204], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928358253, 0.062618], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021179875038797036], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928364367, 0.44252, [0.0021073], [0.0021326], [0.0021126], [0.0021242], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012675312500505242], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928364592, 0.4402, [0.0012598], [0.0012735], [0.0012634], [0.00127], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00038149383369643513], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928364811, 0.43836, [0.00037481], [0.00038766], [0.00037498], [0.0003866], [27], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003425159666221589], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928365026, 0.43853, [0.00033946], [0.00035509], [0.00034024], [0.00034495], [30], [10]], "benchmarks.TextSuite.time_divide": [[2.5188469742208198e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928365243, 0.45383, [2.5161e-05], [2.5492e-05], [2.5179e-05], [2.5216e-05], [430], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018495043959460575], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928365469, 0.4499, [0.0001844], [0.00018531], [0.00018473], [0.00018512], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.35189776540157e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928365694, 0.44177, [4.3385e-05], [4.359e-05], [4.3404e-05], [4.3577e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032581788705541724], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928365918, 0.43243, [0.00032477], [0.00032738], [0.00032515], [0.00032629], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035922413848436856], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928366133, 0.44181, [0.00035637], [0.00036654], [0.00035686], [0.00036481], [29], [10]], "benchmarks.TextSuite.time_render": [[4.677533350949419e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928366353, 0.44778, [4.6705e-06], [4.6884e-06], [4.6737e-06], [4.6824e-06], [2339], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.51222304163457e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928366580, 0.45115, [8.4491e-05], [8.5746e-05], [8.5059e-05], [8.5231e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.502959869447855e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928366808, 0.44294, [3.4942e-05], [3.5255e-05], [3.5001e-05], [3.5052e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002733470391831361], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928367034, 0.43979, [0.00027254], [0.00027459], [0.00027286], [0.00027349], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001097435450355988], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928367253, 0.44983, [0.0010958], [0.0010994], [0.0010966], [0.0010985], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013606223747046897], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928367482, 0.45025, [0.0013589], [0.0013655], [0.0013605], [0.0013627], [8], [10]]}, "durations": {"": 1.986271858215332}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/2356d7c0-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/2356d7c0-virtualenv-py3.10.json new file mode 100644 index 0000000000..9a3ad96312 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/2356d7c0-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "2356d7c0955dd6914367e0f88bfb87be040e35fa", "env_name": "virtualenv-py3.10", "date": 1592909192000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7172214412771086e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928545725, 0.43274, [1.6935e-07], [1.7379e-07], [1.704e-07], [1.7334e-07], [58946], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7024145879964128e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928545943, 0.42825, [1.6918e-07], [1.7135e-07], [1.6974e-07], [1.7074e-07], [58803], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.738391308822791e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928546161, 0.43086, [1.7044e-07], [1.7602e-07], [1.7326e-07], [1.7435e-07], [64596], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.726379042416303e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928546376, 0.44901, [1.6989e-07], [1.7437e-07], [1.716e-07], [1.7386e-07], [63914], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.737988252257405e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928546598, 0.42968, [1.7313e-07], [1.7495e-07], [1.7361e-07], [1.7407e-07], [64777], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7115044150572637e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928546813, 0.42082, [1.6817e-07], [1.7384e-07], [1.7022e-07], [1.728e-07], [59116], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002197445899946615], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928547021, 0.44392, [0.0021812], [0.0022285], [0.0021855], [0.0022212], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928541994, 0.057646], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928542052, 0.057424], "benchmarks.StyleSuite.time_parse_ansi": [[1.1589347573900871e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928547244, 0.44922, [1.1451e-07], [1.1722e-07], [1.148e-07], [1.1672e-07], [95950], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1386454792402313e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928547468, 0.44547, [1.1358e-07], [1.1452e-07], [1.1385e-07], [1.1392e-07], [96082], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1621056620828583e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928547691, 0.43928, [1.1607e-07], [1.1662e-07], [1.1616e-07], [1.164e-07], [96041], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928542772, 0.057653], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928542829, 0.057312], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928542887, 0.057049], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0019805486663244665], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928547917, 0.44474, [0.001968], [0.0019936], [0.0019755], [0.0019863], [6], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001404687500325963], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928548143, 0.43541, [0.0013993], [0.0014117], [0.0014029], [0.001408], [8], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928543380, 0.057372], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928543438, 0.057477], "benchmarks.TextSuite.time_divide": [[2.780205584524272e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928548361, 0.43971, [2.7652e-05], [2.8388e-05], [2.7697e-05], [2.8229e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.000186847956093404], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928548582, 0.43701, [0.00018646], [0.00018755], [0.00018678], [0.00018702], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.216500794963978e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928548800, 0.43693, [4.1971e-05], [4.2243e-05], [4.2062e-05], [4.2187e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003306572583706809], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928549017, 0.42558, [0.00032946], [0.00033177], [0.00033044], [0.0003311], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928544369, 0.057703], "benchmarks.TextSuite.time_render": [[4.688928231420179e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928549228, 0.43696, [4.6756e-06], [4.7089e-06], [4.6816e-06], [4.6987e-06], [2334], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.531250004605281e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928549451, 0.43848, [8.5169e-05], [8.6011e-05], [8.5279e-05], [8.5664e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.3767818296597695e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928549671, 0.43425, [3.3675e-05], [3.3832e-05], [3.3718e-05], [3.382e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027953097329323957], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928549888, 0.42811, [0.00027918], [0.00028037], [0.00027948], [0.00027966], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011421134469047603], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928550100, 0.42984, [0.0011367], [0.0011504], [0.0011396], [0.0011437], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015162232157308608], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928550313, 0.43229, [0.0015144], [0.0015341], [0.0015157], [0.001517], [7], [10]]}, "durations": {"": 1.9319932460784912}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/23aa7177-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/23aa7177-virtualenv-py3.10.json new file mode 100644 index 0000000000..c11d51d9b9 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/23aa7177-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "23aa71774457c34fe6d1fb527c1c2972447bb18d", "env_name": "virtualenv-py3.10", "date": 1631958005000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.701985654024702e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928159302, 0.4671, [1.6842e-07], [1.712e-07], [1.6995e-07], [1.7066e-07], [64407], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.700927061877873e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928159535, 0.44988, [1.6876e-07], [1.714e-07], [1.6976e-07], [1.7053e-07], [59915], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7008786937183728e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928159755, 0.46266, [1.6916e-07], [1.7047e-07], [1.6997e-07], [1.7036e-07], [64926], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6984966367614413e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928159990, 0.46452, [1.6852e-07], [1.7102e-07], [1.6891e-07], [1.708e-07], [63737], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7007556384466194e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928160220, 0.46569, [1.694e-07], [1.7047e-07], [1.697e-07], [1.7016e-07], [64482], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6967653616837615e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928160453, 0.46526, [1.6845e-07], [1.7051e-07], [1.6903e-07], [1.7012e-07], [64593], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010313042002962902], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928160685, 0.45231, [0.0010284], [0.0010343], [0.0010302], [0.0010332], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014234218742785743], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928160910, 0.46302, [0.0014168], [0.001428], [0.0014204], [0.0014267], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013043802518950542], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928161139, 0.44408, [0.0012976], [0.001312], [0.0013037], [0.0013068], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1419466898642949e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928161364, 0.46284, [1.1379e-07], [1.1439e-07], [1.1398e-07], [1.1426e-07], [96135], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1570047643736177e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928161596, 0.45974, [1.1386e-07], [1.1813e-07], [1.1414e-07], [1.1797e-07], [94046], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1511616484557213e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928161824, 0.45137, [1.1395e-07], [1.1677e-07], [1.1433e-07], [1.1577e-07], [95343], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928155690, 0.065973], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928155756, 0.065964], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928155822, 0.065478], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002142874998389743], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928162054, 0.45246, [0.0021291], [0.0021522], [0.0021359], [0.0021474], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001284763000512612], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928162284, 0.45148, [0.0012776], [0.0012882], [0.0012823], [0.0012867], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.000388515425988266], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928162509, 0.45179, [0.00038132], [0.00039835], [0.00038174], [0.00039444], [27], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034324798381872357], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928162730, 0.46002, [0.00034208], [0.00035228], [0.00034295], [0.00034498], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.551548943087897e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928162957, 0.45927, [2.5412e-05], [2.5748e-05], [2.5439e-05], [2.5582e-05], [425], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001842945345962452], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928163185, 0.45559, [0.00018309], [0.00018565], [0.00018421], [0.00018438], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3634989763587166e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928163413, 0.45976, [4.3491e-05], [4.4748e-05], [4.3511e-05], [4.3965e-05], [244], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032473043944319767], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928163639, 0.4596, [0.00032412], [0.00032582], [0.00032458], [0.00032513], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035670975821317527], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928163867, 0.44716, [0.00035629], [0.00035897], [0.00035639], [0.0003575], [29], [10]], "benchmarks.TextSuite.time_render": [[4.672523315758419e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928164089, 0.45405, [4.64e-06], [4.71e-06], [4.6474e-06], [4.6882e-06], [2337], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.51968503612145e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928164320, 0.45703, [8.4962e-05], [8.6485e-05], [8.5027e-05], [8.5571e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.520806314737135e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928164551, 0.45159, [3.5128e-05], [3.5338e-05], [3.5138e-05], [3.5257e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002744111713438638], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928164781, 0.44788, [0.00027397], [0.00027512], [0.00027427], [0.00027452], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010960895990137943], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928165004, 0.45624, [0.0010955], [0.0010971], [0.0010957], [0.0010967], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013692552511201939], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928165236, 0.44815, [0.001366], [0.0013744], [0.0013667], [0.0013711], [8], [10]]}, "durations": {"": 2.0172619819641113}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/24743154-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/24743154-virtualenv-py3.10.json new file mode 100644 index 0000000000..f29a22272e --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/24743154-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "247431544d407d2496e200124e7b5ed2d9e657c9", "env_name": "virtualenv-py3.10", "date": 1611780945000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7008703561831484e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929003904, 0.45382, [1.6986e-07], [1.7063e-07], [1.6992e-07], [1.7057e-07], [64491], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7049544227687766e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929004132, 0.45966, [1.6965e-07], [1.7075e-07], [1.703e-07], [1.7062e-07], [64506], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7012695347008837e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929004361, 0.45427, [1.6873e-07], [1.7129e-07], [1.6996e-07], [1.7046e-07], [64819], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.708717196791671e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929004589, 0.44605, [1.6974e-07], [1.7257e-07], [1.7016e-07], [1.7127e-07], [64476], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6966659951187515e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929004816, 0.45992, [1.6847e-07], [1.72e-07], [1.6909e-07], [1.7098e-07], [64550], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.700043844028154e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929005045, 0.45473, [1.6857e-07], [1.7114e-07], [1.6965e-07], [1.7032e-07], [64203], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001021081249928102], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929005271, 0.43977, [0.0010183], [0.0010248], [0.0010199], [0.0010222], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014228880008886335], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929005489, 0.45551, [0.001415], [0.0014303], [0.00142], [0.0014256], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014151146224321565], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929005713, 0.4464, [0.0014133], [0.0014272], [0.0014145], [0.0014198], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1455905289378434e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929005936, 0.44699, [1.1336e-07], [1.1617e-07], [1.1366e-07], [1.1558e-07], [96515], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1491036369022255e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929006155, 0.45532, [1.1369e-07], [1.1656e-07], [1.1388e-07], [1.1645e-07], [95748], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.141347646635857e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929006382, 0.45248, [1.1369e-07], [1.1558e-07], [1.1398e-07], [1.1503e-07], [94769], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929000400, 0.061733], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929000462, 0.061401], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929000523, 0.061811], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0032452187479066197], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929006608, 0.46886, [0.0032324], [0.0032601], [0.0032372], [0.0032513], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.002134970802580938], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929006843, 0.44562, [0.0021204], [0.0021425], [0.0021308], [0.0021366], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006581823117812746], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929007069, 0.4368, [0.00065555], [0.00066051], [0.00065691], [0.00065886], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005536798156467022], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929007289, 0.44581, [0.00054653], [0.00055847], [0.00054789], [0.00055641], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.534571677008926e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929007510, 0.45217, [2.5296e-05], [2.5496e-05], [2.5333e-05], [2.5365e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018455746562565388], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929007736, 0.44544, [0.00018318], [0.00018497], [0.00018386], [0.00018477], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.350025409348006e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929007958, 0.43794, [4.3415e-05], [4.3549e-05], [4.3455e-05], [4.3512e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032408198392424247], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929008181, 0.42887, [0.00032362], [0.00032488], [0.0003238], [0.00032443], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00038927161141246976], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929008394, 0.44484, [0.00038809], [0.00039124], [0.00038819], [0.00038973], [27], [10]], "benchmarks.TextSuite.time_render": [[4.6586813701803316e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929008614, 0.44512, [4.6428e-06], [4.6894e-06], [4.6487e-06], [4.6795e-06], [2335], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.538541783309483e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929008840, 0.45026, [8.5034e-05], [8.6396e-05], [8.5351e-05], [8.5516e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.531782784819847e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929009066, 0.43937, [3.5158e-05], [3.5463e-05], [3.5186e-05], [3.5354e-05], [305], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027466118435289617], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929009290, 0.43885, [0.00027379], [0.00027655], [0.00027429], [0.00027582], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010957208505715244], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929009508, 0.44719, [0.0010937], [0.0011008], [0.0010943], [0.001096], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014872380706947297], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929009736, 0.43456, [0.0014853], [0.0014999], [0.0014865], [0.0014881], [7], [10]]}, "durations": {"": 2.0492501258850098}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/25a1bf06-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/25a1bf06-virtualenv-py3.10.json new file mode 100644 index 0000000000..3b893f3f9c --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/25a1bf06-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "25a1bf06b4854bd8d9239f8ba05678d2c60a62ad", "env_name": "virtualenv-py3.10", "date": 1600443006000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.713373427108319e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928922409, 0.45057, [1.6964e-07], [1.7398e-07], [1.6995e-07], [1.7349e-07], [64516], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.731565974745811e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928922632, 0.42239, [1.713e-07], [1.7423e-07], [1.7254e-07], [1.7393e-07], [58976], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7319214308453452e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928922841, 0.42272, [1.7002e-07], [1.7419e-07], [1.7178e-07], [1.7414e-07], [58891], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7324510468834383e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928923050, 0.42368, [1.7066e-07], [1.7417e-07], [1.7293e-07], [1.7346e-07], [58781], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7460887599500727e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928923261, 0.43196, [1.7426e-07], [1.7665e-07], [1.7448e-07], [1.751e-07], [64004], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7487969483566893e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928923477, 0.42955, [1.7192e-07], [1.7903e-07], [1.7338e-07], [1.772e-07], [58705], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0009256363634697416], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928923692, 0.43041, [0.00091569], [0.00093458], [0.00091827], [0.00093142], [11], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928918202, 0.058446], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013186432497604983], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928923906, 0.43252, [0.0013099], [0.0013369], [0.001311], [0.0013263], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1536565645431084e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928924127, 0.4396, [1.1405e-07], [1.1746e-07], [1.1436e-07], [1.1675e-07], [96108], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1549200145366552e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928924344, 0.45093, [1.1384e-07], [1.1751e-07], [1.1436e-07], [1.1687e-07], [96329], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.167907086471211e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928924571, 0.44149, [1.1626e-07], [1.1865e-07], [1.1648e-07], [1.178e-07], [95735], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928919133, 0.057779], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928919191, 0.057361], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928919249, 0.05739], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0028535103738249745], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928924798, 0.43737, [0.0028459], [0.002874], [0.0028495], [0.0028594], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0019382950849831104], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928925022, 0.44618, [0.0019205], [0.0019506], [0.0019249], [0.0019468], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006695468737234478], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928925246, 0.43509, [0.00065798], [0.00068291], [0.00065947], [0.00067481], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005540252107158793], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928925469, 0.43607, [0.00054347], [0.0005588], [0.00055331], [0.00055579], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.7922080077164932e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928925686, 0.43674, [2.785e-05], [2.8031e-05], [2.7888e-05], [2.7961e-05], [381], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018699245691973846], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928925903, 0.44197, [0.00018631], [0.00018771], [0.0001869], [0.00018725], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.218484458710212e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928926124, 0.43724, [4.1894e-05], [4.2331e-05], [4.2032e-05], [4.2276e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032975337085043707], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928926341, 0.42487, [0.00032823], [0.00033068], [0.00032916], [0.00033016], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928921051, 0.057825], "benchmarks.TextSuite.time_render": [[4.6940412815479986e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928926552, 0.43581, [4.6873e-06], [4.7056e-06], [4.6931e-06], [4.7027e-06], [2325], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.528303908406087e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928926773, 0.44216, [8.4729e-05], [8.5632e-05], [8.523e-05], [8.5473e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.376495834135522e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928926995, 0.43503, [3.3666e-05], [3.3931e-05], [3.3686e-05], [3.3844e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027902985134829034], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928927212, 0.42695, [0.00027802], [0.00028028], [0.00027873], [0.00027947], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011423819459095183], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928927424, 0.43006, [0.0011399], [0.0011436], [0.001141], [0.0011432], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001528839285518708], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928927638, 0.43441, [0.0015231], [0.0015328], [0.0015254], [0.001532], [7], [10]]}, "durations": {"": 1.9668350219726562}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/2ba277ac-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/2ba277ac-virtualenv-py3.10.json new file mode 100644 index 0000000000..79e8bd3c80 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/2ba277ac-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "2ba277ac54a153d3030b496698133ec2e4f67e1d", "env_name": "virtualenv-py3.10", "date": 1641143137000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7095384073963524e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928304445, 0.45942, [1.6973e-07], [1.716e-07], [1.6998e-07], [1.7151e-07], [64451], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7035758232162449e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928304671, 0.4679, [1.6949e-07], [1.7154e-07], [1.6994e-07], [1.7062e-07], [64539], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7102073580626215e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928304904, 0.46608, [1.7036e-07], [1.7739e-07], [1.707e-07], [1.7123e-07], [64212], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.701027185648243e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928305137, 0.46472, [1.6899e-07], [1.7052e-07], [1.6964e-07], [1.7037e-07], [64706], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6981393392397904e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928305369, 0.4597, [1.6839e-07], [1.7066e-07], [1.696e-07], [1.703e-07], [64805], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7074461525374004e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928305603, 0.46676, [1.6992e-07], [1.7421e-07], [1.7034e-07], [1.7181e-07], [64769], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011084645986557007], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928305836, 0.46381, [0.0011041], [0.0011125], [0.0011068], [0.0011107], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015478839299508504], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928306060, 0.44666, [0.0015436], [0.0015532], [0.0015465], [0.0015501], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014028490004420746], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928306282, 0.45405, [0.0013971], [0.0014514], [0.0013996], [0.0014073], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1452256623089701e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928306507, 0.4362, [1.1404e-07], [1.1512e-07], [1.1434e-07], [1.1484e-07], [87764], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1442488653038437e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928306725, 0.46277, [1.1416e-07], [1.1488e-07], [1.1434e-07], [1.1463e-07], [96181], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1429263201953186e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928306957, 0.4655, [1.1401e-07], [1.1442e-07], [1.142e-07], [1.1437e-07], [96283], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928300849, 0.066968], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928300916, 0.066977], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928300983, 0.066742], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023390999995172024], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928307191, 0.45974, [0.0023284], [0.0023587], [0.0023345], [0.0023427], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014037630626262398], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928307423, 0.45539, [0.0013942], [0.0014119], [0.0014019], [0.0014091], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00038056559289408916], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928307650, 0.45847, [0.00036921], [0.00039423], [0.00036934], [0.0003918], [27], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003410354164467814], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928307877, 0.4501, [0.00033945], [0.0003525], [0.00034076], [0.00034817], [30], [10]], "benchmarks.TextSuite.time_divide": [[2.5224709290426314e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928308099, 0.46106, [2.5162e-05], [2.5358e-05], [2.5187e-05], [2.5256e-05], [430], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001850456204104783], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928308328, 0.45626, [0.00018381], [0.00018582], [0.00018491], [0.0001853], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3433180885253156e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928308556, 0.44726, [4.3321e-05], [4.3623e-05], [4.3339e-05], [4.3488e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032567069302463244], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928308783, 0.43785, [0.00032291], [0.00032701], [0.00032431], [0.00032633], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003585962584675772], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928309000, 0.44776, [0.00035775], [0.00035906], [0.00035811], [0.00035883], [29], [10]], "benchmarks.TextSuite.time_render": [[4.683463913286537e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928309223, 0.45369, [4.6663e-06], [4.7312e-06], [4.6794e-06], [4.6908e-06], [2328], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.532407937020744e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928309453, 0.45564, [8.4567e-05], [8.5448e-05], [8.5256e-05], [8.5411e-05], [126], [10]], "benchmarks.TextSuite.time_split": [[3.522766833543607e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928309682, 0.44867, [3.5003e-05], [3.5378e-05], [3.5066e-05], [3.5363e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002741403556061222], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928309910, 0.44752, [0.0002734], [0.00027501], [0.00027404], [0.00027469], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001365880249068141], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928310133, 0.45725, [0.0013571], [0.0013699], [0.0013608], [0.0013676], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014567262156301047], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928310365, 0.4485, [0.0014469], [0.0015402], [0.0014546], [0.0014577], [7], [10]]}, "durations": {"": 2.0873799324035645}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/2d3ec69f-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/2d3ec69f-virtualenv-py3.10.json new file mode 100644 index 0000000000..9105066695 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/2d3ec69f-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "2d3ec69f6815da1d42da0f61d520c5ad630a5e26", "env_name": "virtualenv-py3.10", "date": 1610401267000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7020154316555255e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929246840, 0.45806, [1.686e-07], [1.7116e-07], [1.6939e-07], [1.7045e-07], [64341], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7010698368490514e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929247068, 0.45703, [1.6937e-07], [1.7054e-07], [1.6965e-07], [1.702e-07], [64650], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7018397440941086e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929247297, 0.45007, [1.6973e-07], [1.7083e-07], [1.6996e-07], [1.7075e-07], [65077], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6952412545509723e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929247528, 0.45953, [1.6861e-07], [1.7039e-07], [1.6925e-07], [1.6998e-07], [64641], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7000315751200035e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929247756, 0.45595, [1.6886e-07], [1.705e-07], [1.6941e-07], [1.7024e-07], [64133], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7001020117685218e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929247984, 0.45666, [1.6924e-07], [1.7053e-07], [1.6934e-07], [1.7036e-07], [64403], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010225667007034644], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929248213, 0.44249, [0.0010197], [0.0010249], [0.0010216], [0.0010243], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014374107143209714], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929248433, 0.43714, [0.0014279], [0.0014471], [0.001432], [0.001441], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014142213130980963], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929248650, 0.44698, [0.0014102], [0.0014189], [0.0014129], [0.0014165], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1420955611779321e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929248875, 0.45308, [1.1374e-07], [1.1457e-07], [1.1407e-07], [1.1433e-07], [95478], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1422061073712316e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929249102, 0.45453, [1.1389e-07], [1.145e-07], [1.1416e-07], [1.1426e-07], [95630], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.142089005886854e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929249329, 0.45161, [1.139e-07], [1.1449e-07], [1.1409e-07], [1.1431e-07], [94837], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929243316, 0.062548], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929243378, 0.062248], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929243441, 0.062201], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0032432865009468514], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929249555, 0.46953, [0.0032245], [0.003261], [0.0032269], [0.0032553], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.002120987500529736], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929249791, 0.44438, [0.0021122], [0.002129], [0.0021167], [0.0021242], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006613528748857789], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929250017, 0.4392, [0.00065834], [0.00066442], [0.0006593], [0.00066291], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005475986843904186], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929250239, 0.4425, [0.00054456], [0.00054976], [0.00054561], [0.00054816], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8080769637185125e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929250458, 0.44929, [2.7767e-05], [2.8495e-05], [2.7784e-05], [2.8423e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001876626402168257], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929250683, 0.44812, [0.00018594], [0.00018832], [0.0001873], [0.00018805], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2187584314895535e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929250907, 0.44582, [4.1989e-05], [4.2417e-05], [4.2047e-05], [4.23e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033042943593294873], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929251128, 0.4364, [0.00032916], [0.0003317], [0.0003298], [0.00033075], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003925833270141783], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929251345, 0.43535, [0.00039183], [0.00039369], [0.00039218], [0.00039299], [26], [10]], "benchmarks.TextSuite.time_render": [[4.705824050982473e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929251561, 0.44794, [4.6792e-06], [4.7374e-06], [4.6849e-06], [4.7321e-06], [2333], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.53061523002907e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929251790, 0.45067, [8.4659e-05], [8.6293e-05], [8.4934e-05], [8.5773e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.392226213414499e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929252016, 0.44364, [3.3851e-05], [3.4116e-05], [3.3892e-05], [3.3969e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002802877299128906], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929252237, 0.43867, [0.00027878], [0.00028245], [0.0002793], [0.00028114], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011491758891174363], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929252456, 0.44246, [0.0011417], [0.0011581], [0.0011438], [0.0011544], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015291071426223166], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929252676, 0.44488, [0.0015262], [0.0015395], [0.0015274], [0.0015302], [7], [10]]}, "durations": {"": 1.975649118423462}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/2ea7e586-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/2ea7e586-virtualenv-py3.10.json new file mode 100644 index 0000000000..0977c78410 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/2ea7e586-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "2ea7e586792a95e33cddc74f9e89e62bcd8d7f2b", "env_name": "virtualenv-py3.10", "date": 1626114020000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6992604301908157e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928404724, 0.46338, [1.6876e-07], [1.7045e-07], [1.6968e-07], [1.7023e-07], [64666], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7087160984114965e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928404956, 0.46229, [1.6992e-07], [1.7164e-07], [1.7049e-07], [1.7142e-07], [64012], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7058781411970064e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928405187, 0.46302, [1.6989e-07], [1.7259e-07], [1.702e-07], [1.7091e-07], [64352], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7051793879919311e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928405418, 0.4585, [1.6946e-07], [1.7234e-07], [1.7009e-07], [1.7145e-07], [63967], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7046113228587482e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928405648, 0.45762, [1.6938e-07], [1.7079e-07], [1.7004e-07], [1.7059e-07], [64694], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.698433621679389e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928405879, 0.43528, [1.6925e-07], [1.7095e-07], [1.6977e-07], [1.7024e-07], [59063], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010297646003891714], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928406097, 0.44974, [0.0010247], [0.0010369], [0.001028], [0.0010308], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014206379983079387], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928406321, 0.45964, [0.001417], [0.0014292], [0.0014183], [0.0014251], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.001297976499699871], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928406549, 0.44173, [0.0012917], [0.0013113], [0.0012955], [0.0013002], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1393691468643312e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928406774, 0.46327, [1.1339e-07], [1.1443e-07], [1.1368e-07], [1.1434e-07], [96639], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1676212033822138e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928407007, 0.44502, [1.1631e-07], [1.1874e-07], [1.1645e-07], [1.1738e-07], [96202], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.144058273758263e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928407231, 0.46264, [1.1393e-07], [1.1482e-07], [1.1411e-07], [1.1469e-07], [96185], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928401167, 0.064996], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928401233, 0.064551], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928401297, 0.064766], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021443749981699513], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928407463, 0.44019, [0.0021257], [0.0021643], [0.0021374], [0.0021594], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012842708129028324], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928407682, 0.44883, [0.0012784], [0.0012934], [0.0012821], [0.0012886], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003746949467832954], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928407905, 0.44912, [0.00037092], [0.00037832], [0.00037127], [0.00037777], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003414603997953236], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928408130, 0.44134, [0.00033918], [0.00035221], [0.0003399], [0.00034375], [30], [10]], "benchmarks.TextSuite.time_divide": [[2.5290634440816062e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928408349, 0.45374, [2.525e-05], [2.5412e-05], [2.526e-05], [2.5297e-05], [424], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001846790253046616], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928408575, 0.45826, [0.00018393], [0.00018523], [0.00018454], [0.00018474], [59], [10]], "benchmarks.TextSuite.time_fit": [[4.405238912596706e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928408804, 0.44005, [4.3606e-05], [4.4535e-05], [4.3676e-05], [4.4411e-05], [239], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032573862082437813], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928409026, 0.45582, [0.00032479], [0.00032729], [0.00032515], [0.0003268], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003578182588861292], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928409253, 0.44518, [0.00035696], [0.0003585], [0.00035747], [0.00035794], [29], [10]], "benchmarks.TextSuite.time_render": [[4.691665023142689e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928409474, 0.45398, [4.6564e-06], [4.9104e-06], [4.6601e-06], [4.7267e-06], [2336], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.454524993339874e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928409707, 0.45583, [8.4227e-05], [8.5332e-05], [8.4292e-05], [8.4842e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.572889446249147e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928409937, 0.44255, [3.5001e-05], [3.6547e-05], [3.5043e-05], [3.6402e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027405482902203833], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928410161, 0.44388, [0.00027204], [0.00027484], [0.00027325], [0.00027431], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010965833513182587], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928410382, 0.44508, [0.0010955], [0.001102], [0.0010957], [0.0010987], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013657838117069332], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928410603, 0.45444, [0.0013598], [0.0013712], [0.0013613], [0.0013689], [8], [10]]}, "durations": {"": 1.9997620582580566}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/3473658d-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/3473658d-virtualenv-py3.10.json new file mode 100644 index 0000000000..0c9ca94013 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/3473658d-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "3473658d13a4e88e1e58a7be116ae6975ca13cf6", "env_name": "virtualenv-py3.10", "date": 1611416490000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7036045765212364e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929289967, 0.45927, [1.6981e-07], [1.7067e-07], [1.6996e-07], [1.7052e-07], [64314], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7132086517078875e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929290195, 0.45475, [1.694e-07], [1.7853e-07], [1.7048e-07], [1.7257e-07], [64270], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.704700660188381e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929290421, 0.45937, [1.6939e-07], [1.7227e-07], [1.6998e-07], [1.7167e-07], [64575], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7441856731663292e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929290654, 0.46206, [1.7006e-07], [1.8044e-07], [1.7057e-07], [1.7638e-07], [64538], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7049117885360997e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929290887, 0.461, [1.6932e-07], [1.7202e-07], [1.6979e-07], [1.7077e-07], [64676], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.705279587625648e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929291119, 0.47769, [1.6914e-07], [1.7182e-07], [1.6977e-07], [1.7125e-07], [64238], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010213937508524395], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929291366, 0.44248, [0.0010185], [0.0010252], [0.0010205], [0.0010227], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014214713119145017], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929291587, 0.45646, [0.0014163], [0.0014333], [0.0014182], [0.0014271], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014177551875036443], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929291812, 0.45349, [0.0014112], [0.0014295], [0.0014152], [0.001424], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1434615778797786e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929292036, 0.45404, [1.1381e-07], [1.1566e-07], [1.1409e-07], [1.1477e-07], [95351], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1487062976460817e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929292263, 0.45359, [1.146e-07], [1.1632e-07], [1.147e-07], [1.1534e-07], [94017], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1449183907183087e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929292488, 0.45677, [1.1407e-07], [1.1555e-07], [1.1433e-07], [1.15e-07], [95519], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929286392, 0.062805], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929286455, 0.06227], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929286517, 0.062011], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0032570260009379126], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929292717, 0.47559, [0.0032274], [0.0032784], [0.0032405], [0.0032633], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0021434916998259723], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929292954, 0.45432, [0.0021262], [0.0023682], [0.0021294], [0.0022289], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006590039056391106], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929293181, 0.44004, [0.00065646], [0.00066109], [0.00065732], [0.00065982], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005492642361021257], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929293403, 0.44628, [0.0005456], [0.00056301], [0.00054725], [0.00055315], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.539885831250868e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929293622, 0.45436, [2.5248e-05], [2.5553e-05], [2.5329e-05], [2.5453e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001851214138100502], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929293848, 0.4509, [0.00018372], [0.00018848], [0.00018458], [0.00018637], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.233050002949312e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929294072, 0.44953, [4.2134e-05], [4.2492e-05], [4.2184e-05], [4.2471e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003210353483375388], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929294295, 0.45183, [0.00031769], [0.00032317], [0.00031959], [0.00032192], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00038107714768826826], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929294519, 0.44226, [0.00038033], [0.00038412], [0.00038075], [0.00038138], [27], [10]], "benchmarks.TextSuite.time_render": [[4.6828025228597816e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929294739, 0.43567, [4.6481e-06], [4.8526e-06], [4.6588e-06], [4.7005e-06], [2142], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.517294849124959e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929294953, 0.45018, [8.4532e-05], [8.5655e-05], [8.4952e-05], [8.5303e-05], [126], [10]], "benchmarks.TextSuite.time_split": [[3.403544921191439e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929295178, 0.45229, [3.4017e-05], [3.4885e-05], [3.402e-05], [3.4267e-05], [315], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002694156021625998], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929295402, 0.44696, [0.00026812], [0.00027325], [0.00026887], [0.00027074], [39], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011032729016733356], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929295624, 0.44329, [0.0010982], [0.0011724], [0.0010991], [0.0011151], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014802440003092799], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929295843, 0.4359, [0.0014784], [0.0015016], [0.0014799], [0.0014855], [7], [10]]}, "durations": {"": 1.9989511966705322}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/36efcb5a-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/36efcb5a-virtualenv-py3.10.json new file mode 100644 index 0000000000..9953421d93 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/36efcb5a-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "36efcb5abe9ea8b6a7707243bec89a81e063c01a", "env_name": "virtualenv-py3.10", "date": 1603472109000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6962975981415165e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928989577, 0.45595, [1.683e-07], [1.7053e-07], [1.6932e-07], [1.7006e-07], [64762], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7044543418703197e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928989806, 0.45502, [1.6871e-07], [1.7073e-07], [1.702e-07], [1.7063e-07], [64610], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.6992367789789537e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928990034, 0.4542, [1.6896e-07], [1.7084e-07], [1.6967e-07], [1.7046e-07], [64457], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.703134810532796e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928990261, 0.44494, [1.6965e-07], [1.7082e-07], [1.701e-07], [1.7048e-07], [64594], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7000458742323704e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928990489, 0.45213, [1.6894e-07], [1.7274e-07], [1.6975e-07], [1.7105e-07], [63544], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6998829406495502e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928990715, 0.456, [1.6921e-07], [1.7311e-07], [1.6971e-07], [1.7034e-07], [64583], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010213146000751295], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928990943, 0.44082, [0.0010194], [0.0010242], [0.0010199], [0.0010232], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014337708562379703], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928991163, 0.43396, [0.0014306], [0.0014365], [0.0014318], [0.0014356], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014147630008665146], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928991379, 0.4523, [0.0014092], [0.0014204], [0.0014107], [0.0014179], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1416031242196305e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928991604, 0.42823, [1.1366e-07], [1.1517e-07], [1.1406e-07], [1.1446e-07], [88131], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1408945358695679e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928991820, 0.45585, [1.1346e-07], [1.1433e-07], [1.1384e-07], [1.1413e-07], [96430], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1410896113544889e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928992049, 0.45439, [1.1381e-07], [1.1433e-07], [1.1398e-07], [1.1416e-07], [96048], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928986076, 0.060543], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928986137, 0.060764], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928986198, 0.060546], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0027355208767403383], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928992278, 0.43969, [0.0027281], [0.0027409], [0.002734], [0.002737], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0018644479156743423], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928992496, 0.44894, [0.0018539], [0.0018746], [0.0018638], [0.0018648], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006582486876141047], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928992717, 0.43597, [0.00065765], [0.00066143], [0.00065795], [0.00065902], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.000555089946781089], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928992939, 0.43491, [0.00054518], [0.00055824], [0.00055459], [0.00055611], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8029603938768176e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928993160, 0.44717, [2.7984e-05], [2.8185e-05], [2.8022e-05], [2.8094e-05], [380], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001871487071059227], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928993384, 0.4504, [0.00018654], [0.00018824], [0.0001868], [0.00018756], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.228466597851366e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928993610, 0.4448, [4.2137e-05], [4.2368e-05], [4.2257e-05], [4.233e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003317379192712026], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928993832, 0.43861, [0.00032956], [0.00033329], [0.00033079], [0.00033273], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003924358847703283], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928994053, 0.43513, [0.00039219], [0.00039296], [0.00039235], [0.00039269], [26], [10]], "benchmarks.TextSuite.time_render": [[4.697171516259794e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928994270, 0.45696, [4.6841e-06], [4.707e-06], [4.689e-06], [4.7021e-06], [2335], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.521435552211187e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928994497, 0.45142, [8.4929e-05], [8.5635e-05], [8.5156e-05], [8.554e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.380010609546455e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928994725, 0.4421, [3.3779e-05], [3.3895e-05], [3.3798e-05], [3.3835e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002792432433862642], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928994946, 0.43592, [0.00027793], [0.00028037], [0.00027895], [0.0002798], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011467361683672708], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928995164, 0.43365, [0.0011448], [0.0011551], [0.0011457], [0.0011481], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015301428585579352], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928995383, 0.44726, [0.0015262], [0.001542], [0.0015292], [0.0015307], [7], [10]]}, "durations": {"": 2.06260085105896}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/3827b4ae-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/3827b4ae-virtualenv-py3.10.json new file mode 100644 index 0000000000..8b50b62320 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/3827b4ae-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "3827b4ae01aca1b4cb308f4c838da1b91384ad7d", "env_name": "virtualenv-py3.10", "date": 1638453157000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7009055537469912e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928260721, 0.46627, [1.6931e-07], [1.7097e-07], [1.6999e-07], [1.7032e-07], [64364], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7015987727142876e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928260953, 0.46456, [1.6921e-07], [1.7077e-07], [1.6993e-07], [1.7041e-07], [64512], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7029074018500487e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928261185, 0.44741, [1.6919e-07], [1.709e-07], [1.6997e-07], [1.7044e-07], [60573], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6975108501065804e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928261407, 0.44759, [1.6884e-07], [1.6998e-07], [1.6914e-07], [1.6981e-07], [60830], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7048188633534393e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928261630, 0.46122, [1.6999e-07], [1.7111e-07], [1.7012e-07], [1.7057e-07], [63654], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.697135537800892e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928261861, 0.46437, [1.6886e-07], [1.7133e-07], [1.6954e-07], [1.7008e-07], [64410], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011078062510932797], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928262094, 0.454, [0.0011054], [0.0011101], [0.0011069], [0.0011084], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001514940499743846], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928262320, 0.45246, [0.0015085], [0.0015254], [0.0015129], [0.0015177], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013975702513562283], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928262549, 0.45354, [0.0013929], [0.0014026], [0.0013946], [0.0013995], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1443176231251601e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928262776, 0.46351, [1.1425e-07], [1.1519e-07], [1.1431e-07], [1.1465e-07], [96076], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.148095777968294e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928263010, 0.46574, [1.1405e-07], [1.1561e-07], [1.1431e-07], [1.1533e-07], [96181], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1418964091759141e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928263244, 0.46235, [1.1385e-07], [1.1454e-07], [1.1416e-07], [1.1422e-07], [96100], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928257134, 0.066227], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928257200, 0.065569], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928257266, 0.066056], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023518957983469594], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928263476, 0.45906, [0.0023316], [0.0023603], [0.002344], [0.0023558], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001403494748956291], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928263709, 0.45174, [0.0013933], [0.0014152], [0.0014012], [0.0014103], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037406101806222323], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928263937, 0.45149, [0.00037315], [0.00037555], [0.00037337], [0.00037455], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00033967203231558446], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928264161, 0.45332, [0.00033776], [0.00034824], [0.00033877], [0.00034596], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5327518605356386e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928264386, 0.46078, [2.5218e-05], [2.5414e-05], [2.529e-05], [2.5363e-05], [430], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018412104315036136], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928264616, 0.45467, [0.00018337], [0.00018458], [0.00018398], [0.00018418], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.344766258453284e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928264843, 0.44746, [4.3389e-05], [4.3622e-05], [4.3412e-05], [4.3485e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032461806073446166], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928265070, 0.45723, [0.00032394], [0.00032514], [0.00032438], [0.00032509], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035664798282407996], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928265298, 0.44681, [0.00035609], [0.00035745], [0.00035645], [0.0003572], [29], [10]], "benchmarks.TextSuite.time_render": [[4.674904899767451e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928265520, 0.45193, [4.6485e-06], [4.6907e-06], [4.665e-06], [4.6841e-06], [2324], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.502903148737244e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928265750, 0.45667, [8.4472e-05], [8.6022e-05], [8.483e-05], [8.5245e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.508509089678901e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928265979, 0.44927, [3.4971e-05], [3.5129e-05], [3.5047e-05], [3.5094e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002740542764322048], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928266208, 0.44763, [0.00027339], [0.00027509], [0.00027395], [0.00027425], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013660859367519151], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928266431, 0.45753, [0.001359], [0.0013704], [0.0013611], [0.0013692], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014471309301110785], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928266664, 0.4465, [0.0014435], [0.0014547], [0.0014448], [0.0014502], [7], [10]]}, "durations": {"": 1.9763908386230469}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/3db6396a-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/3db6396a-virtualenv-py3.10.json new file mode 100644 index 0000000000..d4dfbab503 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/3db6396a-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "3db6396a0c6838fd8fa642ccab3a095838d88329", "env_name": "virtualenv-py3.10", "date": 1638208615000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7042319254797695e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928246228, 0.4658, [1.697e-07], [1.7155e-07], [1.702e-07], [1.7069e-07], [64460], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7014701335412993e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928246460, 0.43742, [1.69e-07], [1.7085e-07], [1.6994e-07], [1.7066e-07], [58998], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7074798454802254e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928246677, 0.46135, [1.7041e-07], [1.7223e-07], [1.7049e-07], [1.7165e-07], [63266], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.702288241755897e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928246907, 0.46182, [1.6915e-07], [1.7116e-07], [1.7e-07], [1.7034e-07], [63433], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7044823244778374e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928247136, 0.46566, [1.7004e-07], [1.7093e-07], [1.7026e-07], [1.7062e-07], [64529], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6976035790289064e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928247368, 0.46336, [1.6818e-07], [1.7054e-07], [1.6949e-07], [1.7021e-07], [64540], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011084083511377686], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928247600, 0.45566, [0.0011028], [0.0011123], [0.0011053], [0.0011107], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015121815023511381], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928247825, 0.45172, [0.0015065], [0.0015199], [0.0015114], [0.0015162], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013970182499178918], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928248053, 0.45388, [0.0013931], [0.0014037], [0.0013948], [0.0013999], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1427530083689559e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928248279, 0.46422, [1.1388e-07], [1.1469e-07], [1.1424e-07], [1.144e-07], [96380], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1394543975825273e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928248512, 0.46404, [1.133e-07], [1.1469e-07], [1.1342e-07], [1.143e-07], [96444], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.143002247191072e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928248744, 0.46432, [1.1395e-07], [1.1467e-07], [1.1421e-07], [1.1445e-07], [96143], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928242637, 0.065911], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928242703, 0.065746], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928242769, 0.065471], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023442875011824072], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928248976, 0.4591, [0.0023329], [0.0023571], [0.0023388], [0.002348], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001400791623382247], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928249210, 0.44971, [0.0013923], [0.0014051], [0.001396], [0.001402], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003787046069711713], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928249436, 0.45477, [0.00037146], [0.00038647], [0.00037177], [0.00038591], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003395120969094757], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928249665, 0.45332, [0.00033818], [0.00034835], [0.00033874], [0.00034143], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.533570700189705e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928249890, 0.46095, [2.5172e-05], [2.5579e-05], [2.5245e-05], [2.5388e-05], [430], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018461889678668552], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928250121, 0.45578, [0.00018394], [0.00018599], [0.0001841], [0.00018546], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.346377551270535e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928250349, 0.44757, [4.3305e-05], [4.3682e-05], [4.3339e-05], [4.3601e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003238428180338815], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928250577, 0.4559, [0.00032287], [0.0003243], [0.00032354], [0.00032395], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003568433799202843], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928250805, 0.44693, [0.0003552], [0.00035977], [0.00035609], [0.0003571], [29], [10]], "benchmarks.TextSuite.time_render": [[4.675465872560535e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928251027, 0.45465, [4.671e-06], [4.6805e-06], [4.6744e-06], [4.6791e-06], [2344], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.522819132394943e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928251258, 0.45786, [8.459e-05], [8.5948e-05], [8.494e-05], [8.5644e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.519280884206429e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928251489, 0.45879, [3.5054e-05], [3.5315e-05], [3.5063e-05], [3.5278e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002742225789054493], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928251717, 0.44819, [0.00027359], [0.00027552], [0.00027395], [0.00027459], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001358674438961316], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928251940, 0.4552, [0.0013548], [0.0013633], [0.0013555], [0.0013603], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014508422152305555], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928252171, 0.44538, [0.0014448], [0.0014547], [0.0014475], [0.0014523], [7], [10]]}, "durations": {"": 1.980443000793457}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/3f7d3e4e-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/3f7d3e4e-virtualenv-py3.10.json new file mode 100644 index 0000000000..8918ef43fa --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/3f7d3e4e-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "3f7d3e4ef372f4ce954c240df723d8cd646b1534", "env_name": "virtualenv-py3.10", "date": 1643381156000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.698740701488326e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928479137, 0.46365, [1.6868e-07], [1.7249e-07], [1.6944e-07], [1.7033e-07], [64798], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7091042297249934e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928479371, 0.44263, [1.6925e-07], [1.7313e-07], [1.6966e-07], [1.7277e-07], [59234], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7032423421299828e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928479591, 0.45682, [1.6978e-07], [1.7143e-07], [1.702e-07], [1.7077e-07], [64108], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.699293186887289e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928479825, 0.46872, [1.6894e-07], [1.729e-07], [1.6974e-07], [1.7026e-07], [64416], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7076552251688393e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928480059, 0.46858, [1.6962e-07], [1.7356e-07], [1.7028e-07], [1.7151e-07], [64454], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7014452735923893e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928480294, 0.46769, [1.6925e-07], [1.7234e-07], [1.6959e-07], [1.7073e-07], [64659], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011121227224874827], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928480528, 0.44418, [0.0011083], [0.0011159], [0.0011109], [0.0011132], [9], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015579582832287997], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928480748, 0.45126, [0.0015536], [0.00157], [0.0015555], [0.0015635], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014060754383535823], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928480971, 0.45525, [0.0014043], [0.0014135], [0.0014051], [0.0014085], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1416384913475412e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928481199, 0.46631, [1.1391e-07], [1.1446e-07], [1.1401e-07], [1.1439e-07], [96473], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1633424116643548e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928481434, 0.46869, [1.1426e-07], [1.1646e-07], [1.1601e-07], [1.1638e-07], [96212], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1687065132848253e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928481668, 0.44813, [1.1652e-07], [1.1841e-07], [1.166e-07], [1.1777e-07], [86464], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [[0.00853916674532229], [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928481897, 0.52025, [0.0084749], [0.0085804], [0.0085069], [0.0085568], [2], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [[0.008576114501920529], [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928482158, 0.52233, [0.0084985], [0.0087274], [0.008535], [0.008637], [2], [10]], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [[0.00853265624755295], [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928482419, 0.52075, [0.0084799], [0.0085638], [0.0085091], [0.0085449], [2], [10]], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002399866800988093], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928482679, 0.47657, [0.0023894], [0.0024136], [0.0023967], [0.0024079], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014271547864024925], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928482918, 0.44586, [0.0014195], [0.0014339], [0.0014252], [0.0014326], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003826964457402937], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928483138, 0.44781, [0.00037813], [0.00038575], [0.00037852], [0.00038533], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034012633841484785], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928483365, 0.4559, [0.00033825], [0.00034851], [0.00033906], [0.00034087], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5252465200837346e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928483591, 0.46353, [2.516e-05], [2.5434e-05], [2.5187e-05], [2.5321e-05], [431], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001846652243141856], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928483823, 0.45764, [0.00018308], [0.00018504], [0.00018417], [0.00018476], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3604420725165344e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928484051, 0.45077, [4.3494e-05], [4.3719e-05], [4.354e-05], [4.3641e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032480492452371186], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928484281, 0.45976, [0.00032296], [0.00032667], [0.00032371], [0.00032532], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003566659484179048], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928484509, 0.44886, [0.00035422], [0.00035973], [0.00035461], [0.00035858], [29], [10]], "benchmarks.TextSuite.time_render": [[4.665873127859556e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928484732, 0.4559, [4.6501e-06], [4.6776e-06], [4.6626e-06], [4.6681e-06], [2337], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.52070313612785e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928484963, 0.46091, [8.4959e-05], [8.5743e-05], [8.517e-05], [8.5261e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5179808798239994e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928485196, 0.46071, [3.5112e-05], [3.5247e-05], [3.5143e-05], [3.5203e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002742344998599341], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928485426, 0.45897, [0.0002737], [0.00028051], [0.00027397], [0.00027841], [39], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013588984365924262], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928485655, 0.45859, [0.0013543], [0.001361], [0.0013577], [0.0013598], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014551279288882923], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928485887, 0.45059, [0.001445], [0.0014609], [0.0014462], [0.0014579], [7], [10]]}, "durations": {"": 1.990717887878418}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/4020d5a9-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/4020d5a9-virtualenv-py3.10.json new file mode 100644 index 0000000000..6a4b0848ce --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/4020d5a9-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "4020d5a9fb77b6a1bbe4a4e763951dd9441860c8", "env_name": "virtualenv-py3.10", "date": 1593168036000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7315091327706894e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928569768, 0.43134, [1.7182e-07], [1.7361e-07], [1.7285e-07], [1.7324e-07], [64557], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7375567830436184e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928569984, 0.43364, [1.7163e-07], [1.8139e-07], [1.7322e-07], [1.7961e-07], [58556], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7200315802320185e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928570194, 0.44725, [1.6924e-07], [1.8107e-07], [1.701e-07], [1.7373e-07], [60636], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.703477310646659e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928570407, 0.44181, [1.691e-07], [1.712e-07], [1.6997e-07], [1.7065e-07], [64593], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7319662314839302e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928570631, 0.44303, [1.7057e-07], [1.7763e-07], [1.7262e-07], [1.7361e-07], [64705], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7132939782775794e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928570846, 0.45132, [1.6952e-07], [1.7411e-07], [1.698e-07], [1.7356e-07], [64331], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022121166985016316], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928571072, 0.43696, [0.0021967], [0.0022501], [0.0021989], [0.0022416], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928566041, 0.059429], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928566100, 0.059402], "benchmarks.StyleSuite.time_parse_ansi": [[1.1585818227850584e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928571289, 0.42389, [1.1575e-07], [1.1649e-07], [1.158e-07], [1.1607e-07], [87690], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1491735043591866e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928571500, 0.43995, [1.1391e-07], [1.1606e-07], [1.1412e-07], [1.1572e-07], [96395], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1498628178269194e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928571715, 0.43961, [1.1369e-07], [1.1672e-07], [1.1402e-07], [1.1632e-07], [96114], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928566823, 0.058992], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928566882, 0.05893], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928566941, 0.05844], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0020499999984167514], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928571930, 0.42322, [0.0020299], [0.0020701], [0.0020329], [0.0020671], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001439190498786047], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928572145, 0.42246, [0.0014314], [0.0014427], [0.0014362], [0.0014407], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928567418, 0.058119], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928567476, 0.058314], "benchmarks.TextSuite.time_divide": [[2.796573740268368e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928572358, 0.4355, [2.7679e-05], [2.8219e-05], [2.7763e-05], [2.8164e-05], [377], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018736439488476896], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928572574, 0.43791, [0.0001853], [0.00018886], [0.00018649], [0.00018798], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.258416796801612e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928572792, 0.43992, [4.2284e-05], [4.2914e-05], [4.2346e-05], [4.2821e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033309745119749416], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928573011, 0.43133, [0.00032927], [0.00035465], [0.00032978], [0.00033828], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928568411, 0.058339], "benchmarks.TextSuite.time_render": [[4.6698475239037345e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928573228, 0.43764, [4.6544e-06], [4.6892e-06], [4.6573e-06], [4.6782e-06], [2325], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.741666664345525e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928573449, 0.42102, [8.7118e-05], [8.7791e-05], [8.7186e-05], [8.7593e-05], [117], [10]], "benchmarks.TextSuite.time_split": [[3.3751488657586586e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928573661, 0.43403, [3.3647e-05], [3.4327e-05], [3.3686e-05], [3.4173e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.000282816999478618], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928573875, 0.43139, [0.00027936], [0.00028587], [0.00027975], [0.00028548], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011494305541014506], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928574089, 0.43276, [0.0011361], [0.0011602], [0.0011373], [0.0011577], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015503720704665674], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928574305, 0.44015, [0.0015493], [0.0015587], [0.00155], [0.0015519], [7], [10]]}, "durations": {"": 1.949765920639038}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/43a26c0a-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/43a26c0a-virtualenv-py3.10.json new file mode 100644 index 0000000000..ac0b93918e --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/43a26c0a-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "43a26c0a5e61668e77fa465d0915e6d4d084af40", "env_name": "virtualenv-py3.10", "date": 1614442778000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.709802561413027e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929061110, 0.45215, [1.6936e-07], [1.718e-07], [1.7028e-07], [1.7153e-07], [62728], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.697065179385762e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929061334, 0.4594, [1.6865e-07], [1.7051e-07], [1.6949e-07], [1.6999e-07], [64607], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.702309346772063e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929061564, 0.44954, [1.6966e-07], [1.7081e-07], [1.7011e-07], [1.7038e-07], [64319], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7067874077426818e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929061793, 0.46115, [1.7004e-07], [1.7085e-07], [1.7028e-07], [1.7078e-07], [64311], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.703075542529536e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929062024, 0.45949, [1.6907e-07], [1.7177e-07], [1.7004e-07], [1.711e-07], [64413], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7083353043886868e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929062254, 0.46019, [1.6932e-07], [1.7153e-07], [1.704e-07], [1.7128e-07], [64297], [10]], "benchmarks.PrettySuite.time_pretty": [[0.000998994317011569], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929062485, 0.4482, [0.00099738], [0.0010063], [0.00099818], [0.0010009], [11], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014014869375387207], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929062706, 0.4458, [0.0013934], [0.0014138], [0.0013962], [0.0014062], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013922656871727668], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929062929, 0.44369, [0.0013889], [0.0013982], [0.0013894], [0.0013944], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.139315095344454e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929063151, 0.45489, [1.1344e-07], [1.1432e-07], [1.139e-07], [1.1398e-07], [95933], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.142606982016748e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929063379, 0.45636, [1.1384e-07], [1.1481e-07], [1.1406e-07], [1.1452e-07], [95762], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1405560028475279e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929063607, 0.45458, [1.138e-07], [1.1442e-07], [1.1387e-07], [1.1413e-07], [95593], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929057597, 0.06296], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929057661, 0.062313], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929057723, 0.062505], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002279166699736379], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929063835, 0.44639, [0.0022735], [0.0022854], [0.0022781], [0.0022812], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0013640311881317757], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929064061, 0.43969, [0.0013601], [0.0013703], [0.0013619], [0.001366], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.000662766937239212], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929064280, 0.44153, [0.00065784], [0.00067897], [0.00065873], [0.00066599], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005482017632426792], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929064502, 0.45038, [0.0005452], [0.00056321], [0.00054722], [0.00055161], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5456381726691572e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929064725, 0.45515, [2.5327e-05], [2.5687e-05], [2.5351e-05], [2.5594e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018485847425020848], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929064953, 0.45134, [0.00018384], [0.00018758], [0.00018453], [0.00018589], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.355716462269789e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929065177, 0.4421, [4.3531e-05], [4.3783e-05], [4.3539e-05], [4.3638e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032558837891415214], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929065402, 0.46807, [0.00032433], [0.00032706], [0.00032484], [0.00032581], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00038982771198229434], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929065643, 0.43473, [0.00038931], [0.00039088], [0.00038956], [0.00038998], [26], [10]], "benchmarks.TextSuite.time_render": [[4.68262812533014e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929065859, 0.44588, [4.6561e-06], [4.6924e-06], [4.6772e-06], [4.6851e-06], [2322], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.53858266885605e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929066086, 0.4483, [8.4264e-05], [8.5553e-05], [8.5224e-05], [8.5464e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.517803593745662e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929066311, 0.44105, [3.5119e-05], [3.5279e-05], [3.5157e-05], [3.5201e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002750926578301005], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929066536, 0.44259, [0.00027424], [0.00027772], [0.00027464], [0.00027631], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010977333498885856], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929066757, 0.43802, [0.0010938], [0.001104], [0.0010944], [0.0011], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014895565732980945], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929066976, 0.43707, [0.0014857], [0.0014964], [0.0014883], [0.0014909], [7], [10]]}, "durations": {"": 1.9819769859313965}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/43d4c4e5-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/43d4c4e5-virtualenv-py3.10.json new file mode 100644 index 0000000000..a999d426be --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/43d4c4e5-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "43d4c4e50c0334f93240aa907183bb24b8e69fe9", "env_name": "virtualenv-py3.10", "date": 1630164198000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.699320866143202e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928433625, 0.46361, [1.6912e-07], [1.7178e-07], [1.6965e-07], [1.7022e-07], [64457], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7043166841962874e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928433856, 0.46257, [1.6993e-07], [1.7082e-07], [1.7028e-07], [1.7056e-07], [64348], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.70487436541234e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928434087, 0.46305, [1.6936e-07], [1.7086e-07], [1.7035e-07], [1.7052e-07], [64314], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6959247751766975e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928434318, 0.46397, [1.6938e-07], [1.7016e-07], [1.6954e-07], [1.6981e-07], [64989], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6991618853215302e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928434551, 0.46342, [1.6927e-07], [1.7599e-07], [1.6954e-07], [1.71e-07], [64317], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7089756116403513e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928434783, 0.45927, [1.695e-07], [1.7311e-07], [1.7079e-07], [1.7234e-07], [63516], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010292916995240375], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928435013, 0.45023, [0.0010261], [0.0010422], [0.0010272], [0.0010321], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001427075561878155], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928435237, 0.46055, [0.0014219], [0.0014291], [0.0014245], [0.0014277], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013088568121020216], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928435465, 0.44209, [0.0012975], [0.0013232], [0.0013], [0.0013176], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1442916006142942e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928435690, 0.4593, [1.1381e-07], [1.1512e-07], [1.1436e-07], [1.1454e-07], [95603], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1491991722675978e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928435920, 0.4613, [1.1346e-07], [1.1605e-07], [1.1438e-07], [1.1534e-07], [96188], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1529701053575947e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928436151, 0.43575, [1.1414e-07], [1.1701e-07], [1.1487e-07], [1.1635e-07], [87677], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928430055, 0.068854], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928430124, 0.065784], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928430190, 0.064843], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021521667047636585], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928436369, 0.45341, [0.002116], [0.0021965], [0.0021307], [0.0021803], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012916823106934316], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928436597, 0.44415, [0.0012699], [0.0014819], [0.0012758], [0.0013383], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003758764485547576], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928436819, 0.45534, [0.00036896], [0.00038377], [0.00036973], [0.00038185], [29], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003417291774249245], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928437040, 0.45371, [0.00034106], [0.00035128], [0.00034148], [0.00034224], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5390368820586846e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928437265, 0.45785, [2.5298e-05], [2.5598e-05], [2.5322e-05], [2.5449e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018506896569682604], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928437494, 0.45502, [0.00018374], [0.00018666], [0.00018451], [0.00018542], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.365969382758651e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928437720, 0.44578, [4.3455e-05], [4.3768e-05], [4.3572e-05], [4.3671e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003259549675051183], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928437946, 0.43898, [0.00032478], [0.00032683], [0.00032514], [0.00032632], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035797023208163276], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928438164, 0.43523, [0.00035653], [0.00035921], [0.0003571], [0.00035847], [28], [10]], "benchmarks.TextSuite.time_render": [[4.6667561275503975e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928438380, 0.45003, [4.6473e-06], [4.6741e-06], [4.6601e-06], [4.6709e-06], [2325], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.534399611970747e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928438608, 0.45426, [8.4725e-05], [8.5728e-05], [8.5187e-05], [8.553e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.5403962304327084e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928438836, 0.44721, [3.5299e-05], [3.557e-05], [3.537e-05], [3.5464e-05], [305], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027445998689233273], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928439065, 0.44578, [0.00027354], [0.00027559], [0.00027402], [0.00027496], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001109252098831348], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928439287, 0.44391, [0.0011054], [0.001114], [0.0011066], [0.0011104], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013650728742504725], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928439508, 0.45602, [0.0013612], [0.0013709], [0.0013642], [0.0013668], [8], [10]]}, "durations": {"": 2.000382900238037}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/44f54dd8-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/44f54dd8-virtualenv-py3.10.json new file mode 100644 index 0000000000..da2840c1da --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/44f54dd8-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "44f54dd8e85c576b5b031ab5afaa89e4af1d2db8", "env_name": "virtualenv-py3.10", "date": 1613423330000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6967413074663557e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929018191, 0.45685, [1.6772e-07], [1.7106e-07], [1.6938e-07], [1.7019e-07], [64506], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7002887802798017e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929018419, 0.45748, [1.6827e-07], [1.7032e-07], [1.6978e-07], [1.702e-07], [64894], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7043497876303627e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929018648, 0.45753, [1.6848e-07], [1.7519e-07], [1.6981e-07], [1.7087e-07], [64579], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7033197715253273e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929018876, 0.4463, [1.6887e-07], [1.7139e-07], [1.7019e-07], [1.7052e-07], [64524], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.702686915728278e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929019104, 0.4552, [1.6942e-07], [1.709e-07], [1.6966e-07], [1.7062e-07], [64200], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7042750275035252e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929019332, 0.45561, [1.6888e-07], [1.7228e-07], [1.7031e-07], [1.7108e-07], [64292], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010246270991046912], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929019559, 0.44049, [0.0010203], [0.0010319], [0.0010219], [0.0010264], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014248359366320074], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929019778, 0.45392, [0.0014195], [0.0014304], [0.0014217], [0.001427], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014159661277517444], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929020003, 0.44659, [0.001413], [0.0014239], [0.0014148], [0.0014192], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1394939761435257e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929020226, 0.45533, [1.136e-07], [1.1461e-07], [1.1384e-07], [1.1405e-07], [96339], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1384583794797324e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929020454, 0.45622, [1.1351e-07], [1.1446e-07], [1.1365e-07], [1.1395e-07], [96470], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1441081350038904e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929020683, 0.45685, [1.1395e-07], [1.1629e-07], [1.1422e-07], [1.1609e-07], [96427], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929014673, 0.06211], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929014735, 0.061388], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929014796, 0.061498], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.003257651122112293], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929020912, 0.47083, [0.0032419], [0.0032744], [0.0032443], [0.003264], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0021358375001000237], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929021148, 0.435, [0.0021303], [0.0021416], [0.0021337], [0.002139], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006608489693462616], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929021364, 0.43737, [0.0006581], [0.00066546], [0.00065874], [0.00066177], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.000547438578091954], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929021585, 0.44162, [0.00054527], [0.00055525], [0.00054646], [0.00054983], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5390515191724798e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929021803, 0.4512, [2.5329e-05], [2.5711e-05], [2.5351e-05], [2.5428e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018476006040020427], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929022028, 0.44752, [0.00018339], [0.00018568], [0.00018443], [0.00018515], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3462600380556324e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929022252, 0.4469, [4.3358e-05], [4.3558e-05], [4.3432e-05], [4.3498e-05], [244], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003242386358606657], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929022474, 0.44771, [0.0003232], [0.00032543], [0.00032396], [0.0003247], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003898078699691083], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929022697, 0.44376, [0.00038863], [0.00039121], [0.00038894], [0.00039019], [27], [10]], "benchmarks.TextSuite.time_render": [[4.677676879431917e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929022918, 0.44464, [4.6703e-06], [4.6962e-06], [4.6745e-06], [4.6798e-06], [2335], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.518635934251506e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929023143, 0.44923, [8.4641e-05], [8.5376e-05], [8.5162e-05], [8.5249e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.519230354962834e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929023369, 0.44159, [3.5092e-05], [3.55e-05], [3.5154e-05], [3.5242e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027432401303054864], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929023594, 0.4393, [0.00027248], [0.00027588], [0.00027333], [0.00027499], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010944333000225013], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929023813, 0.44538, [0.0010917], [0.0011006], [0.0010926], [0.0010968], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014909017149225942], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929024041, 0.43465, [0.0014838], [0.0015007], [0.0014858], [0.0014937], [7], [10]]}, "durations": {"": 1.97792387008667}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/48da2791-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/48da2791-virtualenv-py3.10.json new file mode 100644 index 0000000000..abb554ec17 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/48da2791-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "48da2791036f929f706a33c29db809632e6725fc", "env_name": "virtualenv-py3.10", "date": 1638115255000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7029390691971436e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929396857, 0.46509, [1.6974e-07], [1.7081e-07], [1.7011e-07], [1.7046e-07], [64466], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6999469005804912e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929397088, 0.46218, [1.6943e-07], [1.7107e-07], [1.6979e-07], [1.7052e-07], [64121], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.6956481101479907e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929397319, 0.46503, [1.6843e-07], [1.7113e-07], [1.6903e-07], [1.7056e-07], [64179], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7031189285000093e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929397551, 0.46538, [1.693e-07], [1.7185e-07], [1.7006e-07], [1.7051e-07], [64325], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6978814830790017e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929397783, 0.46799, [1.6935e-07], [1.778e-07], [1.6962e-07], [1.7083e-07], [64446], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7001106675938523e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929398016, 0.46569, [1.6898e-07], [1.7093e-07], [1.6961e-07], [1.7046e-07], [64517], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011089291496318766], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929398249, 0.46493, [0.0011058], [0.0011128], [0.0011067], [0.0011111], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015178006433416158], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929398475, 0.45271, [0.0015126], [0.0015273], [0.0015162], [0.0015208], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014067343745409744], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929398705, 0.45552, [0.0013948], [0.0014121], [0.0014011], [0.0014088], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1431908171180309e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929398934, 0.4625, [1.139e-07], [1.1459e-07], [1.1407e-07], [1.1443e-07], [96223], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1427217539401951e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929399165, 0.46318, [1.1382e-07], [1.1508e-07], [1.1408e-07], [1.1449e-07], [96346], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1413770972804278e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929399397, 0.46447, [1.1388e-07], [1.1505e-07], [1.1397e-07], [1.1449e-07], [96097], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929393276, 0.06579], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929393342, 0.065735], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929393408, 0.065495], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023547582008177415], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929399630, 0.46099, [0.0023333], [0.0023836], [0.0023458], [0.002377], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014109401254245313], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929399866, 0.45218, [0.0013978], [0.0014195], [0.0014069], [0.0014142], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003703571247959709], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929400094, 0.44711, [0.00036972], [0.00037122], [0.00037023], [0.0003706], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003394677417330263], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929400316, 0.45363, [0.00033578], [0.00035242], [0.00033596], [0.00034271], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5319982397407204e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929400543, 0.45892, [2.5273e-05], [2.5455e-05], [2.5291e-05], [2.537e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018443425882463184], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929400771, 0.45448, [0.00018336], [0.00018588], [0.00018415], [0.00018452], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.344523672907784e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929400998, 0.44638, [4.3336e-05], [4.3622e-05], [4.3376e-05], [4.3513e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003248200757132674], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929401225, 0.45657, [0.00032341], [0.00032559], [0.00032417], [0.00032505], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035815086247849054], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929401452, 0.44738, [0.00035601], [0.00036052], [0.00035674], [0.00035926], [29], [10]], "benchmarks.TextSuite.time_render": [[4.660459543542047e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929401674, 0.45297, [4.649e-06], [4.7007e-06], [4.6552e-06], [4.6754e-06], [2336], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.559441260923262e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929401904, 0.45579, [8.5149e-05], [8.6055e-05], [8.5462e-05], [8.5757e-05], [126], [10]], "benchmarks.TextSuite.time_split": [[3.518453232369847e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929402133, 0.45111, [3.5107e-05], [3.5279e-05], [3.5171e-05], [3.5213e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002738130527799704], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929402363, 0.44674, [0.00027328], [0.00027555], [0.00027359], [0.00027398], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013559401249949588], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929402586, 0.45482, [0.0013492], [0.0013608], [0.0013529], [0.0013577], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014501339277817999], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929402816, 0.44494, [0.0014477], [0.0014572], [0.0014492], [0.0014504], [7], [10]]}, "durations": {"": 2.0081732273101807}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/4b123ddf-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/4b123ddf-virtualenv-py3.10.json new file mode 100644 index 0000000000..9b46005bd5 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/4b123ddf-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "4b123ddf9881f37d257a385fbbae0821deb6dba6", "env_name": "virtualenv-py3.10", "date": 1592148956000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [null, [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928524667, 0.057714], "benchmarks.ColorSuite.time_downgrade_to_standard": [null, [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928524724, 0.058216], "benchmarks.ColorSuite.time_downgrade_to_windows": [null, [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928524783, 0.058668], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [null, [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928524841, 0.058207], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [null, [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928524900, 0.058317], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [null, [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928524958, 0.057998], "benchmarks.PrettySuite.time_pretty": [null, [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928525016, 0.057999], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928525074, 0.058439], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928525133, 0.058496], "benchmarks.StyleSuite.time_parse_ansi": [null, [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928525191, 0.058278], "benchmarks.StyleSuite.time_parse_hex": [null, [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928525250, 0.05777], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [null, [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928525308, 0.057742], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928525365, 0.058019], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928525423, 0.057995], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928525481, 0.05858], "benchmarks.TableSuite.time_table_heavy_wrapping": [null, [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928525540, 0.058245], "benchmarks.TableSuite.time_table_no_wrapping": [null, [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928525598, 0.057745], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928525656, 0.058234], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928525715, 0.057613], "benchmarks.TextSuite.time_divide": [null, [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928525772, 0.057794], "benchmarks.TextSuite.time_divide_unicode_heavy": [null, [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928525830, 0.057991], "benchmarks.TextSuite.time_fit": [null, [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928525888, 0.058486], "benchmarks.TextSuite.time_fit_unicode_heavy": [null, [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928525947, 0.058217], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928526005, 0.05783], "benchmarks.TextSuite.time_render": [null, [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928526063, 0.05769], "benchmarks.TextSuite.time_render_unicode_heavy": [null, [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928526121, 0.058295], "benchmarks.TextSuite.time_split": [null, [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928526179, 0.058274], "benchmarks.TextSuite.time_split_unicode_heavy": [null, [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928526237, 0.058275], "benchmarks.TextSuite.time_wrapping": [null, [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928526296, 0.057623], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [null, [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928526353, 0.057948]}, "durations": {"": 1.94716215133667}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/4bf3f19c-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/4bf3f19c-virtualenv-py3.10.json new file mode 100644 index 0000000000..4a9b4731d6 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/4bf3f19c-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "4bf3f19c04f47c60c4fe96b81afe708a0ad812dc", "env_name": "virtualenv-py3.10", "date": 1610056536000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7026700201969953e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929218340, 0.4496, [1.6901e-07], [1.7073e-07], [1.6983e-07], [1.7059e-07], [63258], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7024261033691904e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929218564, 0.45474, [1.6906e-07], [1.7206e-07], [1.7001e-07], [1.7056e-07], [64144], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7097329262004033e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929218790, 0.44701, [1.6951e-07], [1.8056e-07], [1.7071e-07], [1.7106e-07], [64271], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.704293439683435e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929219017, 0.45274, [1.6877e-07], [1.7101e-07], [1.6988e-07], [1.7069e-07], [64637], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6998120032705176e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929219246, 0.45383, [1.6869e-07], [1.716e-07], [1.6933e-07], [1.7054e-07], [64363], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.701495873574819e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929219471, 0.45607, [1.686e-07], [1.7108e-07], [1.6982e-07], [1.7058e-07], [64601], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010267166479025036], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929219699, 0.44096, [0.0010256], [0.0010341], [0.0010262], [0.0010296], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014405237847573257], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929219918, 0.43557, [0.0014334], [0.0014522], [0.0014353], [0.0014467], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014132864380371757], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929220133, 0.44405, [0.0014084], [0.0014207], [0.0014108], [0.0014145], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1413694500299339e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929220356, 0.45439, [1.1382e-07], [1.1487e-07], [1.1391e-07], [1.1425e-07], [96002], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1450187969337221e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929220583, 0.45646, [1.1404e-07], [1.1666e-07], [1.1436e-07], [1.1468e-07], [96297], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1450004689955e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929220812, 0.45426, [1.1411e-07], [1.1624e-07], [1.1442e-07], [1.1483e-07], [95933], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929214835, 0.061496], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929214897, 0.061405], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929214958, 0.061369], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.003232036375266034], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929221039, 0.46378, [0.00322], [0.0032609], [0.0032222], [0.0032356], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0021225292002782226], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929221273, 0.44284, [0.002113], [0.0021436], [0.0021205], [0.0021334], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006580416884389706], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929221498, 0.43619, [0.00065654], [0.00066255], [0.00065709], [0.00065976], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005459375258253299], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929221718, 0.44058, [0.00054361], [0.00055332], [0.0005442], [0.00054791], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8382165332216397e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929221936, 0.44914, [2.8069e-05], [2.8795e-05], [2.8082e-05], [2.8704e-05], [378], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018698976323082062], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929222161, 0.44507, [0.00018619], [0.00018781], [0.00018646], [0.0001872], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2181391569123746e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929222383, 0.44412, [4.2141e-05], [4.2519e-05], [4.2176e-05], [4.2324e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003300329352045552], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929222604, 0.43323, [0.00032818], [0.00033216], [0.00032865], [0.00033058], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003932059228715773], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929222820, 0.43423, [0.00039146], [0.00039549], [0.00039154], [0.00039483], [26], [10]], "benchmarks.TextSuite.time_render": [[4.680967959825711e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929223036, 0.44384, [4.6618e-06], [4.739e-06], [4.6703e-06], [4.7054e-06], [2325], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.533317190995149e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929223261, 0.44865, [8.4655e-05], [8.6092e-05], [8.504e-05], [8.5441e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.393354828108605e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929223487, 0.44314, [3.3758e-05], [3.3968e-05], [3.3827e-05], [3.3952e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002790191352392572], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929223707, 0.43547, [0.00027809], [0.00027992], [0.00027843], [0.00027956], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001142136555346143], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929223924, 0.43895, [0.0011399], [0.0011458], [0.0011402], [0.0011427], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015315089279153782], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929224142, 0.44254, [0.0015198], [0.0015369], [0.0015245], [0.0015349], [7], [10]]}, "durations": {"": 1.9530932903289795}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/4d6a6d88-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/4d6a6d88-virtualenv-py3.10.json new file mode 100644 index 0000000000..8eb517cd44 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/4d6a6d88-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "4d6a6d882048e784aac9e45fc3d0712eac8a44c6", "env_name": "virtualenv-py3.10", "date": 1594653936000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.71211830975041e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928701459, 0.44811, [1.6928e-07], [1.7293e-07], [1.7049e-07], [1.7257e-07], [64070], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7341769853709463e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928701684, 0.42369, [1.7211e-07], [1.7412e-07], [1.7301e-07], [1.7365e-07], [58559], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.733226603416208e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928701894, 0.4239, [1.7258e-07], [1.7531e-07], [1.7287e-07], [1.7381e-07], [58309], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7369829756098446e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928702104, 0.42248, [1.7256e-07], [1.7493e-07], [1.7347e-07], [1.7386e-07], [58145], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.730062267293436e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928702313, 0.42338, [1.7105e-07], [1.7353e-07], [1.727e-07], [1.7323e-07], [58620], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.73106468285579e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928702523, 0.42349, [1.7271e-07], [1.7373e-07], [1.729e-07], [1.736e-07], [58623], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022415790997911246], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928702733, 0.44145, [0.0022111], [0.0022633], [0.0022401], [0.0022491], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928697426, 0.058805], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928697485, 0.058014], "benchmarks.StyleSuite.time_parse_ansi": [[1.1629347304261993e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928702950, 0.41859, [1.1587e-07], [1.1667e-07], [1.1617e-07], [1.1652e-07], [86439], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.149888907589994e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928703159, 0.43942, [1.1351e-07], [1.158e-07], [1.1392e-07], [1.1576e-07], [96497], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1611507526373169e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928703375, 0.4299, [1.1585e-07], [1.1631e-07], [1.1609e-07], [1.1613e-07], [96350], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928698192, 0.057811], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928698249, 0.057598], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928698307, 0.057625], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002132087497739121], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928703590, 0.43733, [0.0021244], [0.0021533], [0.0021308], [0.0021385], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014943362142990477], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928703812, 0.4326, [0.0014916], [0.001502], [0.0014927], [0.0014998], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006707264003731931], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928704031, 0.43352, [0.00066986], [0.00067391], [0.00067017], [0.00067108], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005578264163988125], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928704249, 0.4249, [0.00055723], [0.00056032], [0.00055764], [0.00055827], [18], [10]], "benchmarks.TextSuite.time_divide": [[2.8334253213622352e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928704458, 0.43659, [2.8239e-05], [2.8549e-05], [2.8276e-05], [2.8421e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001867837759320913], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928704681, 0.44303, [0.00018628], [0.00018719], [0.00018674], [0.00018683], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.252741899453619e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928704903, 0.44296, [4.2042e-05], [4.2936e-05], [4.216e-05], [4.2901e-05], [253], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032937769297390217], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928705125, 0.42599, [0.00032873], [0.00032982], [0.00032918], [0.00032955], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928700099, 0.058176], "benchmarks.TextSuite.time_render": [[4.719828067108801e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928705336, 0.43846, [4.6846e-06], [4.7627e-06], [4.6917e-06], [4.7593e-06], [2338], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.595767974384216e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928705559, 0.43407, [8.5341e-05], [8.6674e-05], [8.5505e-05], [8.6038e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.3765640987663486e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928705773, 0.43021, [3.362e-05], [3.4345e-05], [3.3695e-05], [3.3789e-05], [305], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002785990945994854], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928705988, 0.42689, [0.00027808], [0.0002792], [0.00027822], [0.00027882], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001152412055590604], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928706201, 0.43271, [0.0011342], [0.0011636], [0.0011365], [0.0011621], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015300982881204358], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928706414, 0.435, [0.0015163], [0.0015429], [0.0015173], [0.0015413], [7], [10]]}, "durations": {"": 1.9689950942993164}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/52d159aa-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/52d159aa-virtualenv-py3.10.json new file mode 100644 index 0000000000..b78dc3ab4e --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/52d159aa-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "52d159aae04d12ba24ecdc3d8104e6b8068cbf5f", "env_name": "virtualenv-py3.10", "date": 1628194484000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7058945968935357e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928419145, 0.46426, [1.6899e-07], [1.7097e-07], [1.6959e-07], [1.7072e-07], [64325], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7007191055197154e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928419378, 0.46218, [1.6928e-07], [1.7112e-07], [1.6946e-07], [1.7073e-07], [64337], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7047900862400746e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928419608, 0.46293, [1.6988e-07], [1.7222e-07], [1.7034e-07], [1.7087e-07], [64407], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6987062918839053e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928419840, 0.43796, [1.6901e-07], [1.7506e-07], [1.6945e-07], [1.7083e-07], [59256], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.700489583745791e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928420060, 0.46321, [1.6869e-07], [1.7124e-07], [1.6888e-07], [1.7072e-07], [64749], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6975048857829784e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928420292, 0.45536, [1.6863e-07], [1.7169e-07], [1.6948e-07], [1.7053e-07], [64983], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001030508300755173], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928420524, 0.45054, [0.0010281], [0.0010381], [0.0010294], [0.0010319], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014259791878430406], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928420748, 0.46115, [0.0014206], [0.001435], [0.0014241], [0.0014291], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013004270640522009], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928420976, 0.44145, [0.0012931], [0.0013095], [0.0012971], [0.0013017], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.151534361549962e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928421200, 0.45048, [1.1363e-07], [1.1659e-07], [1.1394e-07], [1.1649e-07], [95323], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1456751691900413e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928421430, 0.45451, [1.143e-07], [1.1497e-07], [1.1441e-07], [1.1481e-07], [96146], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.142799556713515e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928421661, 0.46019, [1.1399e-07], [1.1495e-07], [1.1419e-07], [1.144e-07], [95658], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928415565, 0.064836], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928415630, 0.064728], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928415695, 0.064479], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021430041990242897], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928421892, 0.45143, [0.0021284], [0.0021562], [0.0021387], [0.0021471], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012858229365519946], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928422121, 0.43998, [0.001278], [0.0013006], [0.0012844], [0.001293], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037878200029289085], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928422344, 0.45186, [0.0003762], [0.00038154], [0.00037638], [0.00038124], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003415954359356434], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928422568, 0.45219, [0.00033984], [0.00035252], [0.00034056], [0.00034234], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5294476755905552e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928422793, 0.45996, [2.526e-05], [2.5386e-05], [2.527e-05], [2.5346e-05], [430], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001844626466005013], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928423023, 0.45289, [0.00018314], [0.00018489], [0.00018439], [0.00018469], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.342586236396948e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928423249, 0.44655, [4.3288e-05], [4.3714e-05], [4.332e-05], [4.3553e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032384783315302974], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928423476, 0.45419, [0.000323], [0.00032504], [0.00032364], [0.0003245], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003554540172476193], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928423702, 0.44371, [0.00035482], [0.00035661], [0.00035531], [0.00035573], [29], [10]], "benchmarks.TextSuite.time_render": [[4.65925170721221e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928423922, 0.4521, [4.6509e-06], [4.672e-06], [4.6565e-06], [4.667e-06], [2346], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.579609456369433e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928424152, 0.47335, [8.4585e-05], [8.6328e-05], [8.5135e-05], [8.5863e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.51094919114455e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928424380, 0.4494, [3.5084e-05], [3.5232e-05], [3.5094e-05], [3.5152e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002745021839999888], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928424610, 0.44526, [0.0002739], [0.00027532], [0.00027419], [0.00027463], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001095737499417737], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928424832, 0.45514, [0.0010923], [0.0011003], [0.0010928], [0.0010983], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013680338106496492], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928425063, 0.45511, [0.0013634], [0.0013953], [0.0013668], [0.0013697], [8], [10]]}, "durations": {"": 1.9940869808197021}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/53d9eeaf-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/53d9eeaf-virtualenv-py3.10.json new file mode 100644 index 0000000000..c5dd5da0f6 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/53d9eeaf-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "53d9eeafe01e293a1eb5d9bc65b5a611b46dad53", "env_name": "virtualenv-py3.10", "date": 1638033096000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7049279486400416e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929440364, 0.46631, [1.6952e-07], [1.7084e-07], [1.7022e-07], [1.7068e-07], [64469], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7017859373834976e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929440596, 0.46317, [1.6913e-07], [1.7077e-07], [1.6972e-07], [1.7037e-07], [64364], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7037698439109146e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929440827, 0.46392, [1.6957e-07], [1.7122e-07], [1.6996e-07], [1.7081e-07], [64443], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7020052975934573e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929441060, 0.46301, [1.6894e-07], [1.7106e-07], [1.6975e-07], [1.7051e-07], [63988], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7120931499167352e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929441292, 0.46571, [1.697e-07], [1.8041e-07], [1.7066e-07], [1.7236e-07], [63789], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.70363939930509e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929441525, 0.43888, [1.6949e-07], [1.71e-07], [1.6996e-07], [1.7092e-07], [59154], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011072729001170957], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929441745, 0.45553, [0.0011021], [0.0011113], [0.0011049], [0.001109], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015153422843598363], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929441971, 0.45177, [0.0015073], [0.0015185], [0.0015136], [0.0015181], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014005104385432787], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929442200, 0.45317, [0.0013962], [0.001413], [0.0013972], [0.0014056], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.141952810339963e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929442426, 0.46354, [1.1367e-07], [1.1457e-07], [1.1397e-07], [1.1432e-07], [96100], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1403247722285144e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929442658, 0.46318, [1.1374e-07], [1.1458e-07], [1.1399e-07], [1.1427e-07], [95929], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.144795280331981e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929442889, 0.46421, [1.1427e-07], [1.1652e-07], [1.1436e-07], [1.1471e-07], [95936], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929436790, 0.065786], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929436856, 0.065362], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929436922, 0.065903], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002355558300041594], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929443123, 0.46045, [0.0023391], [0.0023658], [0.0023506], [0.0023593], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014035625008546049], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929443357, 0.45078, [0.0013955], [0.0014249], [0.0014003], [0.0014093], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037317783945971835], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929443584, 0.44929, [0.00036973], [0.00037654], [0.00037024], [0.00037593], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034051880638505665], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929443809, 0.45408, [0.00033991], [0.00034984], [0.00034031], [0.00034095], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.544216744663229e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929444035, 0.45751, [2.5366e-05], [2.5573e-05], [2.5389e-05], [2.5473e-05], [424], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001841946811102138], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929444262, 0.45511, [0.00018351], [0.00018492], [0.00018408], [0.00018442], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.366394494688709e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929444489, 0.44753, [4.3524e-05], [4.388e-05], [4.359e-05], [4.3755e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003245524191785784], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929444716, 0.43766, [0.00032402], [0.00032512], [0.00032441], [0.00032487], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003566702592973437], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929444934, 0.44644, [0.00035582], [0.00035851], [0.00035621], [0.00035695], [29], [10]], "benchmarks.TextSuite.time_render": [[4.666720238173253e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929445157, 0.45206, [4.6589e-06], [4.6915e-06], [4.6618e-06], [4.6727e-06], [2327], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.53927383559494e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929445386, 0.45948, [8.4661e-05], [8.5832e-05], [8.515e-05], [8.5439e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.512439156564489e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929445617, 0.45113, [3.5094e-05], [3.5178e-05], [3.511e-05], [3.5149e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027426918409458414], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929445847, 0.44924, [0.00027335], [0.00027611], [0.00027389], [0.00027463], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001357997374725528], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929446071, 0.4553, [0.0013519], [0.0013647], [0.0013535], [0.0013604], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014475237860876533], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929446302, 0.44455, [0.0014457], [0.0014561], [0.001446], [0.0014493], [7], [10]]}, "durations": {"": 1.9948718547821045}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/550d3911-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/550d3911-virtualenv-py3.10.json new file mode 100644 index 0000000000..3b5c6a76a4 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/550d3911-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "550d391171934874ec85ef7bcad2292d8728c1ce", "env_name": "virtualenv-py3.10", "date": 1632474176000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7012055225441422e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928173768, 0.45874, [1.6935e-07], [1.7183e-07], [1.6987e-07], [1.7106e-07], [64752], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6988035409443387e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928174000, 0.46387, [1.6862e-07], [1.7053e-07], [1.6945e-07], [1.7023e-07], [64386], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7065502321372411e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928174231, 0.46129, [1.6914e-07], [1.7181e-07], [1.6991e-07], [1.7126e-07], [64542], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7065929182325723e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928174465, 0.44014, [1.697e-07], [1.7205e-07], [1.7036e-07], [1.7127e-07], [58848], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6986830260259836e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928174682, 0.46129, [1.6949e-07], [1.7137e-07], [1.6968e-07], [1.7093e-07], [63737], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7017289076060707e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928174913, 0.4629, [1.6913e-07], [1.7065e-07], [1.6973e-07], [1.7043e-07], [64237], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001029439600824844], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928175144, 0.45227, [0.0010276], [0.0010308], [0.0010281], [0.0010306], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014290178556361102], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928175369, 0.44384, [0.0014206], [0.001443], [0.0014248], [0.0014332], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013021406248299172], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928175589, 0.44269, [0.0012989], [0.0013057], [0.0013009], [0.0013048], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1429133220318334e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928175814, 0.46182, [1.1391e-07], [1.1468e-07], [1.1422e-07], [1.144e-07], [96462], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1416457898368397e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928176047, 0.46146, [1.1384e-07], [1.1438e-07], [1.1407e-07], [1.1428e-07], [95720], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1422249136281769e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928176278, 0.45943, [1.1376e-07], [1.1534e-07], [1.1416e-07], [1.1494e-07], [95579], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928170194, 0.065791], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928170260, 0.065146], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928170325, 0.065913], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021364042011555286], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928176509, 0.45155, [0.0021183], [0.0021539], [0.0021295], [0.002141], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012852187519456493], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928176738, 0.45139, [0.0012792], [0.001293], [0.0012816], [0.0012885], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003731508617859398], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928176963, 0.46094, [0.00036765], [0.00037918], [0.00036812], [0.00037813], [29], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034339046772314055], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928177194, 0.4551, [0.00034029], [0.00034594], [0.00034061], [0.0003452], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5356557394434596e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928177421, 0.45924, [2.5314e-05], [2.5461e-05], [2.5326e-05], [2.5394e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018453017250506272], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928177650, 0.4541, [0.00018338], [0.0001853], [0.00018441], [0.00018497], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3428305671776565e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928177877, 0.44844, [4.3361e-05], [4.3578e-05], [4.3405e-05], [4.3483e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032479299989063293], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928178105, 0.43769, [0.00032381], [0.00032571], [0.00032464], [0.00032488], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003564590512943486], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928178323, 0.44647, [0.00035473], [0.00035763], [0.00035506], [0.00035739], [29], [10]], "benchmarks.TextSuite.time_render": [[4.6801607524370915e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928178544, 0.45326, [4.6746e-06], [4.6882e-06], [4.677e-06], [4.6839e-06], [2339], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.483691408400773e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928178775, 0.4581, [8.4367e-05], [8.5389e-05], [8.4512e-05], [8.5327e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.525615579451664e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928179006, 0.45066, [3.5121e-05], [3.5416e-05], [3.5163e-05], [3.5352e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027402082885505245], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928179236, 0.44612, [0.00027276], [0.0002755], [0.00027325], [0.00027431], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010991021001245827], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928179458, 0.44497, [0.0010967], [0.0011016], [0.0010983], [0.0011004], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013653568112204084], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928179680, 0.45591, [0.0013635], [0.0013674], [0.0013648], [0.0013661], [8], [10]]}, "durations": {"": 1.9889721870422363}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/55e11902-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/55e11902-virtualenv-py3.10.json new file mode 100644 index 0000000000..ebf974d786 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/55e11902-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "55e11902ab7d1c959122baaee4f98966fd30209f", "env_name": "virtualenv-py3.10", "date": 1637873229000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7009309752207926e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929454849, 0.46725, [1.6942e-07], [1.7118e-07], [1.699e-07], [1.7076e-07], [64529], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7049500323739197e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929455082, 0.46614, [1.6944e-07], [1.7237e-07], [1.7005e-07], [1.7157e-07], [64644], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.70109690025565e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929455316, 0.46141, [1.6911e-07], [1.7078e-07], [1.6966e-07], [1.7031e-07], [63032], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6999118625141967e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929455544, 0.46294, [1.6911e-07], [1.7219e-07], [1.6988e-07], [1.7079e-07], [64389], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7029554885531188e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929455776, 0.43871, [1.6953e-07], [1.7053e-07], [1.6994e-07], [1.7038e-07], [59178], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.700329927267081e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929455995, 0.46798, [1.6886e-07], [1.712e-07], [1.6983e-07], [1.7066e-07], [64499], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011053270995034837], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929456229, 0.45552, [0.0011022], [0.0011108], [0.001105], [0.0011066], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001516476142569445], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929456454, 0.45336, [0.0015102], [0.0015254], [0.0015136], [0.0015206], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014032265626156004], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929456683, 0.4518, [0.0013989], [0.0014156], [0.0014013], [0.0014054], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1443972510031082e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929456911, 0.44705, [1.1404e-07], [1.1613e-07], [1.1435e-07], [1.1463e-07], [87549], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.145170262736998e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929457140, 0.46136, [1.1389e-07], [1.1622e-07], [1.1412e-07], [1.1476e-07], [95206], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1427112499677163e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929457370, 0.45761, [1.1383e-07], [1.1437e-07], [1.142e-07], [1.1434e-07], [96356], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929451267, 0.066028], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929451333, 0.065509], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929451398, 0.065771], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002346887398744002], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929457602, 0.45872, [0.0023343], [0.0023599], [0.0023437], [0.0023479], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014088047500990797], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929457836, 0.46049, [0.0014024], [0.001418], [0.0014048], [0.0014129], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003711837858385739], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929458064, 0.4483, [0.0003703], [0.00037339], [0.00037082], [0.00037233], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003421592902609958], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929458287, 0.45459, [0.00034108], [0.0003524], [0.00034149], [0.0003424], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5493055157103258e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929458514, 0.44971, [2.546e-05], [2.5587e-05], [2.5477e-05], [2.5517e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001844300847042794], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929458743, 0.46116, [0.00018405], [0.00018572], [0.00018436], [0.00018474], [59], [10]], "benchmarks.TextSuite.time_fit": [[4.342130773233227e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929458973, 0.44822, [4.3317e-05], [4.359e-05], [4.3382e-05], [4.3503e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003239267878763547], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929459201, 0.45607, [0.0003227], [0.00032701], [0.00032375], [0.00032407], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.000356247827735858], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929459429, 0.44639, [0.00035549], [0.00035792], [0.0003556], [0.00035649], [29], [10]], "benchmarks.TextSuite.time_render": [[4.677279566679207e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929459651, 0.45303, [4.6528e-06], [4.6861e-06], [4.6622e-06], [4.6829e-06], [2334], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.52260782266967e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929459881, 0.45707, [8.4416e-05], [8.5401e-05], [8.5089e-05], [8.526e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.524391967268874e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929460110, 0.4482, [3.5221e-05], [3.5331e-05], [3.523e-05], [3.527e-05], [305], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002741030789605391], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929460338, 0.44744, [0.00027327], [0.00027529], [0.00027397], [0.00027455], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013605468757305061], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929460561, 0.45554, [0.001354], [0.0013646], [0.0013558], [0.0013632], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001452008929585905], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929460793, 0.44547, [0.0014487], [0.0014565], [0.0014494], [0.0014536], [7], [10]]}, "durations": {"": 1.9884757995605469}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/573125e9-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/573125e9-virtualenv-py3.10.json new file mode 100644 index 0000000000..775e514fec --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/573125e9-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "573125e9b4eaa4b25bb1a911cf61e365b266afba", "env_name": "virtualenv-py3.10", "date": 1606842626000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7035735748782961e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929132730, 0.4547, [1.6957e-07], [1.7111e-07], [1.7008e-07], [1.704e-07], [63922], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7011813100056663e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929132957, 0.45508, [1.6938e-07], [1.7093e-07], [1.6986e-07], [1.7054e-07], [64894], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.705091724398945e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929133187, 0.45669, [1.6911e-07], [1.7386e-07], [1.6977e-07], [1.707e-07], [64216], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7003631710159307e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929133415, 0.45401, [1.6895e-07], [1.7064e-07], [1.6969e-07], [1.705e-07], [63675], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7076965539820025e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929133642, 0.45636, [1.6952e-07], [1.7719e-07], [1.703e-07], [1.731e-07], [64054], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.704083834704045e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929133869, 0.45792, [1.6976e-07], [1.7225e-07], [1.6984e-07], [1.7067e-07], [64175], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010274875501636415], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929134097, 0.44408, [0.0010233], [0.0010341], [0.0010239], [0.0010304], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014428512118424156], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929134318, 0.43837, [0.0014369], [0.0014536], [0.0014413], [0.0014458], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014141536248644115], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929134536, 0.44569, [0.0014093], [0.0014188], [0.0014126], [0.0014145], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1413853433200745e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929134760, 0.45277, [1.1396e-07], [1.161e-07], [1.1402e-07], [1.1467e-07], [96135], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.14545181153452e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929134987, 0.45326, [1.1433e-07], [1.1619e-07], [1.1443e-07], [1.1497e-07], [94741], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1431372140374344e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929135215, 0.45566, [1.1376e-07], [1.1534e-07], [1.1389e-07], [1.151e-07], [95894], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929129197, 0.062502], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929129260, 0.061635], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929129321, 0.061735], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002750234376435401], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929135444, 0.44358, [0.0027407], [0.0027546], [0.002747], [0.0027524], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0018561249986911812], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929135663, 0.44993, [0.001845], [0.0018771], [0.0018483], [0.0018688], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006638372187808272], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929135885, 0.43884, [0.00065885], [0.00066748], [0.00066337], [0.00066538], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005474407892171783], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929136107, 0.44273, [0.00054382], [0.00055731], [0.00054666], [0.00055638], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8176863155462533e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929136326, 0.449, [2.7763e-05], [2.8728e-05], [2.7805e-05], [2.8691e-05], [380], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.000187044956347611], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929136552, 0.44621, [0.00018575], [0.00018908], [0.00018607], [0.00018782], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.226137247155476e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929136775, 0.44798, [4.2102e-05], [4.2582e-05], [4.2197e-05], [4.2289e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003306175964216011], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929136998, 0.43596, [0.00032933], [0.0003318], [0.00033006], [0.00033124], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00039414744242094457], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929137215, 0.43587, [0.00039226], [0.00039631], [0.0003928], [0.00039555], [26], [10]], "benchmarks.TextSuite.time_render": [[4.667174434155948e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929137432, 0.44509, [4.646e-06], [4.6776e-06], [4.6581e-06], [4.6707e-06], [2339], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.516194520780118e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929137659, 0.45219, [8.4795e-05], [8.6022e-05], [8.5094e-05], [8.5459e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.374592788765231e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929137887, 0.44454, [3.3683e-05], [3.3824e-05], [3.3728e-05], [3.378e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002786886348936556], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929138108, 0.44962, [0.00027786], [0.00027951], [0.0002781], [0.00027909], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001147025499247118], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929138326, 0.44111, [0.0011434], [0.0011533], [0.0011447], [0.001149], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015302321428732413], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929138544, 0.44527, [0.0015265], [0.0015332], [0.0015278], [0.0015325], [7], [10]]}, "durations": {"": 1.9958610534667969}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/579a29c8-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/579a29c8-virtualenv-py3.10.json new file mode 100644 index 0000000000..a3644b13b2 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/579a29c8-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "579a29c82081aa74437d9e2483ac9862c048415d", "env_name": "virtualenv-py3.10", "date": 1595868101000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.736474545074484e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928778555, 0.4267, [1.7119e-07], [1.739e-07], [1.7241e-07], [1.7377e-07], [58852], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7340327364317818e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928778767, 0.42826, [1.7185e-07], [1.7397e-07], [1.7259e-07], [1.7373e-07], [59074], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7354063503795828e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928778980, 0.42553, [1.7303e-07], [1.7386e-07], [1.7329e-07], [1.7369e-07], [58533], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7178092996091828e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928779192, 0.4321, [1.692e-07], [1.739e-07], [1.699e-07], [1.7342e-07], [58358], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7230198439390232e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928779410, 0.44067, [1.6987e-07], [1.8203e-07], [1.7041e-07], [1.7417e-07], [64308], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7332703953086618e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928779633, 0.42248, [1.7291e-07], [1.742e-07], [1.7313e-07], [1.7415e-07], [57889], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002227433299412951], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928779844, 0.43937, [0.0021946], [0.0022601], [0.0021961], [0.0022555], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928774498, 0.059132], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928774557, 0.059068], "benchmarks.StyleSuite.time_parse_ansi": [[1.1624317894753063e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928780062, 0.44065, [1.1579e-07], [1.1657e-07], [1.1603e-07], [1.1633e-07], [96244], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.150645199851889e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928780278, 0.44023, [1.1359e-07], [1.1631e-07], [1.1389e-07], [1.1608e-07], [96311], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1509978583019232e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928780495, 0.44997, [1.1455e-07], [1.1655e-07], [1.1477e-07], [1.1623e-07], [95745], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928775289, 0.058777], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928775348, 0.058742], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928775407, 0.058794], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002142004200140946], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928780721, 0.44142, [0.0021327], [0.0021544], [0.00214], [0.0021438], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014956279275273637], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928780944, 0.43438, [0.0014902], [0.0015024], [0.001493], [0.0014975], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.000673062500815528], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928781165, 0.43958, [0.00067142], [0.00068082], [0.00067214], [0.00067439], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005573969208757933], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928781386, 0.43169, [0.00055353], [0.00055903], [0.00055649], [0.00055757], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8313752580726644e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928781606, 0.43606, [2.8265e-05], [2.8377e-05], [2.8291e-05], [2.8348e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001889353068116562], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928781829, 0.44303, [0.00018718], [0.00019134], [0.00018733], [0.00019102], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.287974996259436e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928782052, 0.43385, [4.276e-05], [4.301e-05], [4.2847e-05], [4.2901e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003364569838008573], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928782272, 0.4345, [0.00033568], [0.00033702], [0.00033619], [0.00033679], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928777196, 0.059081], "benchmarks.TextSuite.time_render": [[4.732899489164659e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928782488, 0.44164, [4.6523e-06], [4.8086e-06], [4.668e-06], [4.7919e-06], [2333], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.669725398898924e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928782715, 0.44273, [8.616e-05], [8.6896e-05], [8.6663e-05], [8.675e-05], [126], [10]], "benchmarks.TextSuite.time_split": [[3.4393229165848774e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928782938, 0.44396, [3.4276e-05], [3.5123e-05], [3.4315e-05], [3.4461e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028335472971603677], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928783160, 0.44001, [0.0002798], [0.00028579], [0.00028012], [0.00028498], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011618008882376468], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928783384, 0.42902, [0.0011601], [0.001167], [0.0011605], [0.0011627], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015376249981012993], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928783601, 0.43825, [0.0015175], [0.0015529], [0.0015184], [0.0015505], [7], [10]]}, "durations": {"": 1.9670758247375488}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/5f021978-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/5f021978-virtualenv-py3.10.json new file mode 100644 index 0000000000..b37afa3c8b --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/5f021978-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "5f0219786bbaf994061011df087602d5edff5d66", "env_name": "virtualenv-py3.10", "date": 1641724467000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7035226366991395e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928463178, 0.47121, [1.6929e-07], [1.7638e-07], [1.6994e-07], [1.7237e-07], [64033], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7104967550450717e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928463413, 0.46938, [1.6922e-07], [1.7177e-07], [1.7068e-07], [1.7127e-07], [64539], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7066034108752568e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928463648, 0.46867, [1.7032e-07], [1.7179e-07], [1.7059e-07], [1.7141e-07], [64263], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7124313816843975e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928463884, 0.47297, [1.6969e-07], [1.7395e-07], [1.6993e-07], [1.7356e-07], [64706], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7017476167767825e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928464120, 0.4696, [1.6905e-07], [1.7056e-07], [1.6976e-07], [1.7038e-07], [64565], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.697733419053571e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928464356, 0.46247, [1.6873e-07], [1.706e-07], [1.6969e-07], [1.7029e-07], [65001], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011088667015428655], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928464592, 0.45823, [0.0011033], [0.0011204], [0.0011067], [0.001113], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001552386928649087], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928464819, 0.45069, [0.0015479], [0.001557], [0.0015505], [0.0015543], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014095390633883653], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928465042, 0.45741, [0.0014019], [0.0014361], [0.001404], [0.0014129], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1439336631824014e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928465271, 0.46735, [1.14e-07], [1.1545e-07], [1.1413e-07], [1.1443e-07], [96508], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1472853324673091e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928465505, 0.45557, [1.1426e-07], [1.1677e-07], [1.144e-07], [1.153e-07], [95846], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1652326348148687e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928465728, 0.47055, [1.1609e-07], [1.1682e-07], [1.1644e-07], [1.1658e-07], [96202], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [[0.008522239499143325], [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928465964, 0.52198, [0.0084901], [0.0085779], [0.0085138], [0.0085343], [2], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [[0.008546103999833576], [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928466225, 0.52079, [0.0084924], [0.0085719], [0.0085191], [0.0085522], [2], [10]], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [[0.008535864493751433], [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928466486, 0.51968, [0.0084976], [0.0085744], [0.0085191], [0.0085518], [2], [10]], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002401412499602884], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928466746, 0.47729, [0.0023849], [0.0024111], [0.0023929], [0.0024044], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014333512143431498], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928466985, 0.44636, [0.0014275], [0.0014408], [0.0014295], [0.0014357], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.00038671653549369827], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928467206, 0.45238, [0.00038171], [0.00039182], [0.00038211], [0.00039098], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003404233871298211], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928467438, 0.45553, [0.00033704], [0.00035018], [0.00033738], [0.00034487], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.531585199997211e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928467663, 0.46305, [2.5279e-05], [2.5447e-05], [2.5293e-05], [2.5356e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018472809486034936], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928467894, 0.45794, [0.00018414], [0.00018541], [0.00018456], [0.00018487], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3558418377758746e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928468123, 0.44959, [4.3458e-05], [4.3744e-05], [4.3534e-05], [4.3643e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032473737850192595], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928468352, 0.4597, [0.0003236], [0.00032612], [0.00032425], [0.00032511], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035738648248611596], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928468581, 0.44933, [0.00035701], [0.00035825], [0.00035717], [0.00035775], [29], [10]], "benchmarks.TextSuite.time_render": [[4.668496161822756e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928468804, 0.45655, [4.6568e-06], [4.6896e-06], [4.6596e-06], [4.6708e-06], [2346], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.519108200744085e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928469036, 0.46041, [8.5037e-05], [8.5481e-05], [8.5088e-05], [8.5372e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5178668325703625e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928469268, 0.45318, [3.5077e-05], [3.5333e-05], [3.5146e-05], [3.5209e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002742088813408229], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928469499, 0.45048, [0.00027373], [0.00027495], [0.00027405], [0.00027469], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013609556881419849], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928469724, 0.45751, [0.0013536], [0.001364], [0.0013562], [0.0013628], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014542143554925652], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928469956, 0.44957, [0.001449], [0.0014817], [0.0014521], [0.0014696], [7], [10]]}, "durations": {"": 2.003809928894043}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/5f03e3ba-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/5f03e3ba-virtualenv-py3.10.json new file mode 100644 index 0000000000..72b74f3e4e --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/5f03e3ba-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "5f03e3ba5306ea935126d354d71d3c7bb4dec3a3", "env_name": "virtualenv-py3.10", "date": 1603019948000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7029400369316336e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928962279, 0.4288, [1.7001e-07], [1.7142e-07], [1.7018e-07], [1.7081e-07], [58853], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6975923588875979e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928962494, 0.45268, [1.6889e-07], [1.7064e-07], [1.6947e-07], [1.7004e-07], [64449], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7122144386242466e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928962720, 0.44383, [1.6952e-07], [1.7701e-07], [1.7086e-07], [1.7138e-07], [64662], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7052503344942357e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928962945, 0.45549, [1.7007e-07], [1.7118e-07], [1.7026e-07], [1.71e-07], [64114], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7053431360609528e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928963173, 0.45722, [1.6968e-07], [1.7377e-07], [1.7023e-07], [1.7067e-07], [64348], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7023318621135e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928963401, 0.456, [1.6909e-07], [1.7173e-07], [1.6969e-07], [1.7074e-07], [64144], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010147333494387567], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928963629, 0.4386, [0.0010127], [0.0010217], [0.0010137], [0.0010151], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928957985, 0.061291], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014055181873118272], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928963848, 0.44808, [0.0014012], [0.0014379], [0.0014023], [0.0014139], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1483355694441893e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928964074, 0.45479, [1.1393e-07], [1.1562e-07], [1.14e-07], [1.1537e-07], [95375], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1531780253540436e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928964302, 0.4352, [1.139e-07], [1.158e-07], [1.1473e-07], [1.1552e-07], [87364], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1466431835136977e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928964524, 0.44575, [1.1395e-07], [1.172e-07], [1.1447e-07], [1.1641e-07], [95954], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928958936, 0.060677], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928958997, 0.060723], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928959058, 0.060341], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0027481563738547266], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928964743, 0.44822, [0.0027384], [0.0027943], [0.0027456], [0.0027549], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0018641839997144416], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928964966, 0.45091, [0.0018554], [0.0018823], [0.0018621], [0.001872], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006637421874984284], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928965189, 0.44186, [0.00065813], [0.00067295], [0.00066221], [0.00066779], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005481392635326636], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928965415, 0.44284, [0.00054686], [0.0005553], [0.0005472], [0.00055266], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.7963297092051037e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928965636, 0.44729, [2.7859e-05], [2.8125e-05], [2.7886e-05], [2.8073e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018773648250651985], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928965859, 0.44907, [0.00018706], [0.00019296], [0.0001872], [0.00019119], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.22623665238994e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928966086, 0.45329, [4.2169e-05], [4.265e-05], [4.2204e-05], [4.2296e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003306686773993856], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928966316, 0.43283, [0.000329], [0.00033176], [0.00033028], [0.00033116], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928960899, 0.061053], "benchmarks.TextSuite.time_render": [[4.670691716725854e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928966531, 0.44117, [4.6569e-06], [4.6863e-06], [4.6596e-06], [4.6803e-06], [2329], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.543684650542523e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928966755, 0.44878, [8.492e-05], [8.6589e-05], [8.5022e-05], [8.5955e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.391310484373882e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928966982, 0.44135, [3.377e-05], [3.4059e-05], [3.38e-05], [3.4e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027908670214143257], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928967202, 0.43236, [0.00027816], [0.0002797], [0.00027871], [0.00027919], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011475694466045955], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928967417, 0.43754, [0.0011417], [0.0011546], [0.0011434], [0.0011509], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015298422139104722], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928967634, 0.44091, [0.0015248], [0.0015364], [0.0015273], [0.0015305], [7], [10]]}, "durations": {"": 2.012441873550415}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/5f55063b-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/5f55063b-virtualenv-py3.10.json new file mode 100644 index 0000000000..f5d1c5a695 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/5f55063b-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "5f55063b139e5fcb70dc75cbebd4195c48f1e9bc", "env_name": "virtualenv-py3.10", "date": 1593030443000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7426155866769343e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928557720, 0.44015, [1.7078e-07], [1.7553e-07], [1.7241e-07], [1.7483e-07], [64410], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7307732454880455e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928557935, 0.43725, [1.7199e-07], [1.7359e-07], [1.7266e-07], [1.7338e-07], [64320], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7381171223370905e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928558158, 0.42462, [1.7164e-07], [1.7654e-07], [1.7314e-07], [1.7427e-07], [59024], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7338147194241619e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928558369, 0.42713, [1.7146e-07], [1.7358e-07], [1.7326e-07], [1.7349e-07], [58695], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7082182191926202e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928558579, 0.43687, [1.6988e-07], [1.7426e-07], [1.6999e-07], [1.7256e-07], [64458], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7132887430961657e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928558802, 0.44965, [1.6957e-07], [1.739e-07], [1.698e-07], [1.7355e-07], [64441], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002201112496550195], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928559028, 0.43323, [0.0021928], [0.0022446], [0.0021973], [0.0022294], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928554011, 0.057544], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928554069, 0.057697], "benchmarks.StyleSuite.time_parse_ansi": [[1.157208851811601e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928559242, 0.4371, [1.1398e-07], [1.1696e-07], [1.143e-07], [1.1675e-07], [95939], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.152207594246434e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928559457, 0.43555, [1.1365e-07], [1.1663e-07], [1.1392e-07], [1.1644e-07], [95894], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1548119693731335e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928559671, 0.44418, [1.1413e-07], [1.1717e-07], [1.1445e-07], [1.1647e-07], [94878], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928554793, 0.057445], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928554850, 0.057195], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928554907, 0.056875], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0020350915991002696], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928559894, 0.42237, [0.0020269], [0.0020659], [0.0020317], [0.0020452], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014367262150959245], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928560108, 0.4207, [0.001434], [0.0014608], [0.0014345], [0.0014396], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928555382, 0.057685], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928555440, 0.057371], "benchmarks.TextSuite.time_divide": [[2.82225680704526e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928560321, 0.4417, [2.7741e-05], [2.8701e-05], [2.7832e-05], [2.8494e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001870984136797327], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928560542, 0.4333, [0.00018636], [0.000188], [0.00018692], [0.00018728], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.2128788602718785e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928560763, 0.44034, [4.2025e-05], [4.292e-05], [4.2065e-05], [4.2777e-05], [253], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003335685483292646], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928560983, 0.42822, [0.00033024], [0.00033744], [0.00033108], [0.00033605], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928556368, 0.057561], "benchmarks.TextSuite.time_render": [[4.675921118193493e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928561195, 0.43693, [4.6644e-06], [4.6917e-06], [4.675e-06], [4.6765e-06], [2339], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.527701947969035e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928561417, 0.44177, [8.5037e-05], [8.596e-05], [8.5078e-05], [8.5696e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.374086849976561e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928561640, 0.43075, [3.3632e-05], [3.4252e-05], [3.3707e-05], [3.3846e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002787668915540987], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928561855, 0.42758, [0.00027809], [0.00028596], [0.00027844], [0.00027954], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011450092214444238], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928562068, 0.42967, [0.001136], [0.0011669], [0.0011372], [0.0011539], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015197291421437903], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928562282, 0.43347, [0.0015173], [0.0015357], [0.0015195], [0.0015202], [7], [10]]}, "durations": {"": 1.9274108409881592}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/64755d41-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/64755d41-virtualenv-py3.10.json new file mode 100644 index 0000000000..987b04a5f6 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/64755d41-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "64755d41fa02fce7ec96e93c2356c45e2e489111", "env_name": "virtualenv-py3.10", "date": 1614430154000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6965338984778662e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929046829, 0.46, [1.687e-07], [1.7121e-07], [1.6948e-07], [1.7025e-07], [64424], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.704037171582712e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929047060, 0.43072, [1.6973e-07], [1.7137e-07], [1.702e-07], [1.7071e-07], [58920], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.706237033781775e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929047274, 0.44922, [1.6924e-07], [1.805e-07], [1.7032e-07], [1.7162e-07], [64400], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7043955852118696e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929047503, 0.45591, [1.6887e-07], [1.7088e-07], [1.7008e-07], [1.7055e-07], [64451], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7031919212220384e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929047733, 0.45571, [1.6977e-07], [1.7077e-07], [1.7003e-07], [1.7058e-07], [64339], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7052593059742275e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929047962, 0.45449, [1.6895e-07], [1.711e-07], [1.6988e-07], [1.7096e-07], [63516], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010033427732361652], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929048189, 0.45091, [0.0009986], [0.0010074], [0.0010008], [0.0010042], [11], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014030390011612326], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929048413, 0.4473, [0.0014005], [0.0014155], [0.0014015], [0.0014056], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013944688107585534], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929048637, 0.44478, [0.0013901], [0.001403], [0.0013931], [0.0013962], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1404005064879602e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929048860, 0.45724, [1.1353e-07], [1.1507e-07], [1.1388e-07], [1.1435e-07], [96041], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1528624321089372e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929049089, 0.45136, [1.1368e-07], [1.1667e-07], [1.1409e-07], [1.1657e-07], [93866], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1400625216944154e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929049313, 0.45482, [1.1364e-07], [1.1453e-07], [1.138e-07], [1.1435e-07], [95488], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929043306, 0.063175], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929043370, 0.062626], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929043432, 0.062161], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023428916989360004], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929049541, 0.46131, [0.0023405], [0.0023488], [0.002341], [0.0023454], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014403332856350712], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929049772, 0.44078, [0.0014346], [0.0014532], [0.0014393], [0.0014425], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006583841559404391], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929049990, 0.43817, [0.00065618], [0.00066033], [0.00065775], [0.00065947], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005479879213166178], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929050212, 0.445, [0.00054439], [0.00057321], [0.00054576], [0.00055696], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5343872384283808e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929050431, 0.4548, [2.5303e-05], [2.5408e-05], [2.5342e-05], [2.5378e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001848050622876534], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929050656, 0.44336, [0.00018405], [0.00018564], [0.00018457], [0.00018496], [56], [10]], "benchmarks.TextSuite.time_fit": [[4.3598299950589335e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929050875, 0.44159, [4.3447e-05], [4.3758e-05], [4.3496e-05], [4.3717e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003240322581522407], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929051099, 0.43042, [0.00032367], [0.0003245], [0.00032387], [0.00032422], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00038991435226139236], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929051313, 0.4457, [0.00038817], [0.00039106], [0.00038868], [0.00039061], [27], [10]], "benchmarks.TextSuite.time_render": [[4.681328553562882e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929051535, 0.44673, [4.6717e-06], [4.7011e-06], [4.6742e-06], [4.6885e-06], [2336], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.539192583612021e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929051762, 0.45511, [8.477e-05], [8.665e-05], [8.5005e-05], [8.5749e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5212323016278426e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929051988, 0.44421, [3.5087e-05], [3.5336e-05], [3.513e-05], [3.5259e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027470724997233207], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929052215, 0.44087, [0.00027314], [0.00027617], [0.00027383], [0.00027545], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010986958499415778], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929052434, 0.43797, [0.0010954], [0.0011024], [0.0010959], [0.0011016], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014876964269205928], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929052652, 0.43619, [0.0014852], [0.0014927], [0.0014868], [0.0014895], [7], [10]]}, "durations": {"": 2.0037131309509277}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/666d0cf2-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/666d0cf2-virtualenv-py3.10.json new file mode 100644 index 0000000000..ac8a7e6b60 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/666d0cf2-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "666d0cf2b2eca98ff75bd260f91b200d0bb82e90", "env_name": "virtualenv-py3.10", "date": 1637405513000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7059216979300207e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929483869, 0.46535, [1.6993e-07], [1.7094e-07], [1.7045e-07], [1.7081e-07], [64392], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.709019096843553e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929484100, 0.46715, [1.69e-07], [1.717e-07], [1.7019e-07], [1.7136e-07], [64405], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7002134261694357e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929484334, 0.46378, [1.6929e-07], [1.7051e-07], [1.6954e-07], [1.7017e-07], [64543], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7039360575301497e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929484568, 0.45849, [1.6915e-07], [1.7143e-07], [1.6969e-07], [1.7058e-07], [63401], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7012746920399016e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929484797, 0.46463, [1.6888e-07], [1.7061e-07], [1.6962e-07], [1.7021e-07], [64490], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.698780700455599e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929485030, 0.4678, [1.6942e-07], [1.7151e-07], [1.6966e-07], [1.7036e-07], [64328], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001039016699360218], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929485261, 0.45232, [0.0010348], [0.0010461], [0.0010373], [0.0010427], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001429678570795139], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929485485, 0.44288, [0.001422], [0.0014424], [0.0014263], [0.0014325], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013064713111816673], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929485704, 0.44442, [0.0013024], [0.0013231], [0.0013039], [0.0013094], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1418550215190512e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929485930, 0.4571, [1.1387e-07], [1.1535e-07], [1.1402e-07], [1.1468e-07], [94759], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1405231649255829e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929486158, 0.44506, [1.1346e-07], [1.174e-07], [1.1372e-07], [1.1567e-07], [87802], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1406058148527631e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929486385, 0.46433, [1.1388e-07], [1.1636e-07], [1.1396e-07], [1.1542e-07], [96465], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929480287, 0.065892], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929480353, 0.06518], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929480419, 0.064819], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0022066499950597063], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929486618, 0.45052, [0.0021978], [0.0022218], [0.0022014], [0.0022086], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0013307968747540144], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929486841, 0.45045, [0.0013223], [0.0013412], [0.0013249], [0.001334], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003770327499036544], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929487070, 0.45037, [0.0003715], [0.00037914], [0.00037257], [0.00037736], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034180240313177025], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929487293, 0.45233, [0.00033766], [0.00034821], [0.00033838], [0.00034259], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5328922338838523e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929487517, 0.45603, [2.5101e-05], [2.5532e-05], [2.5159e-05], [2.5482e-05], [425], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018498636175003224], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929487743, 0.45479, [0.00018346], [0.00018634], [0.0001842], [0.00018552], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.349864433222352e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929487970, 0.44737, [4.3458e-05], [4.4164e-05], [4.3487e-05], [4.3546e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003249583232607092], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929488197, 0.43982, [0.00032337], [0.00032803], [0.00032414], [0.00032677], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003559333335336608], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929488413, 0.45738, [0.00035458], [0.00036427], [0.00035485], [0.0003571], [30], [10]], "benchmarks.TextSuite.time_render": [[4.681305513344945e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929488639, 0.45041, [4.6548e-06], [4.6957e-06], [4.659e-06], [4.6905e-06], [2324], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.511783971698605e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929488867, 0.45545, [8.4799e-05], [8.5566e-05], [8.5074e-05], [8.5398e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.528940459019443e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929489097, 0.44655, [3.5224e-05], [3.5363e-05], [3.5262e-05], [3.5303e-05], [304], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027400657908353756], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929489324, 0.44615, [0.00027351], [0.00027464], [0.00027372], [0.00027418], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001119129150174558], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929489545, 0.45786, [0.0010965], [0.0011302], [0.0011088], [0.0011242], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013640703109558672], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929489779, 0.4553, [0.0013606], [0.0013689], [0.0013627], [0.0013659], [8], [10]]}, "durations": {"": 1.988671064376831}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/690507d4-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/690507d4-virtualenv-py3.10.json new file mode 100644 index 0000000000..3204737923 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/690507d4-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "690507d4f39ff4ae9e5618711627037ac26e256c", "env_name": "virtualenv-py3.10", "date": 1621287005000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7055391959849702e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928333083, 0.45456, [1.6973e-07], [1.7106e-07], [1.7025e-07], [1.7079e-07], [63734], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7052009692883833e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928333310, 0.45405, [1.698e-07], [1.7099e-07], [1.702e-07], [1.7078e-07], [64861], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.703780635253241e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928333539, 0.4547, [1.6939e-07], [1.7126e-07], [1.6989e-07], [1.7093e-07], [63369], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6995471132619938e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928333766, 0.4524, [1.6931e-07], [1.7085e-07], [1.6965e-07], [1.7004e-07], [62797], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.696196676231718e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928333992, 0.4566, [1.6902e-07], [1.7076e-07], [1.6928e-07], [1.7005e-07], [64278], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7001884858257172e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928334220, 0.43228, [1.6891e-07], [1.7229e-07], [1.6969e-07], [1.7032e-07], [59209], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010318208500393667], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928334436, 0.44465, [0.0010292], [0.0010381], [0.0010304], [0.0010331], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014297995003289543], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928334657, 0.46539, [0.0014239], [0.0014329], [0.001426], [0.0014314], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014235286253097001], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928334885, 0.45289, [0.0014219], [0.0014304], [0.0014222], [0.0014275], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1557706520754057e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928335110, 0.45123, [1.1465e-07], [1.1658e-07], [1.1475e-07], [1.1573e-07], [93849], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1424178187962725e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928335334, 0.45577, [1.1396e-07], [1.1479e-07], [1.1422e-07], [1.1435e-07], [95551], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1490234874890529e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928335563, 0.45654, [1.1419e-07], [1.1781e-07], [1.1454e-07], [1.1534e-07], [95247], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928329594, 0.063525], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928329658, 0.062237], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928329720, 0.062164], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002133625099668279], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928335790, 0.44434, [0.0021128], [0.0021426], [0.002121], [0.0021377], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012864271247963188], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928336016, 0.43432, [0.0012799], [0.0012952], [0.0012842], [0.0012901], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006589544382222812], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928336236, 0.439, [0.00065683], [0.00066446], [0.0006584], [0.00065952], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005474320519409192], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928336457, 0.44326, [0.00054373], [0.00055577], [0.00054547], [0.00055243], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5388628264943903e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928336676, 0.45107, [2.5238e-05], [2.5484e-05], [2.531e-05], [2.5444e-05], [425], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018476078448343444], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928336900, 0.44887, [0.00018387], [0.00018535], [0.00018469], [0.00018495], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.347839755803866e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928337125, 0.43851, [4.3333e-05], [4.3669e-05], [4.3353e-05], [4.3572e-05], [244], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032490995128624017], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928337348, 0.43061, [0.00032458], [0.0003259], [0.00032468], [0.00032516], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003564339136134769], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928337562, 0.43987, [0.00035575], [0.00035723], [0.000356], [0.00035682], [29], [10]], "benchmarks.TextSuite.time_render": [[4.700765783165551e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928337780, 0.44748, [4.6678e-06], [4.7389e-06], [4.679e-06], [4.7266e-06], [2329], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.534749599675706e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928338008, 0.45211, [8.518e-05], [8.6115e-05], [8.5281e-05], [8.56e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.526865361445565e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928338236, 0.44223, [3.5155e-05], [3.5436e-05], [3.5219e-05], [3.5289e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002749084344127608], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928338461, 0.44124, [0.00027333], [0.00027587], [0.00027442], [0.00027528], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010947916991426608], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928338681, 0.44788, [0.0010928], [0.0010971], [0.0010935], [0.0010954], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014860387870742542], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928338909, 0.43559, [0.0014818], [0.0014929], [0.0014832], [0.00149], [7], [10]]}, "durations": {"": 1.981421947479248}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/6d7ba589-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/6d7ba589-virtualenv-py3.10.json new file mode 100644 index 0000000000..641feb6321 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/6d7ba589-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "6d7ba589e2e37e91f12d0a0d4e4a6ae0c9e144a5", "env_name": "virtualenv-py3.10", "date": 1591790104000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [null, [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928507933, 0.059222], "benchmarks.ColorSuite.time_downgrade_to_standard": [null, [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928507992, 0.058364], "benchmarks.ColorSuite.time_downgrade_to_windows": [null, [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928508051, 0.058069], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [null, [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928508109, 0.059971], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [null, [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928508169, 0.058018], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [null, [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928508227, 0.058165], "benchmarks.PrettySuite.time_pretty": [null, [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928508285, 0.058273], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928508343, 0.05774], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928508401, 0.057994], "benchmarks.StyleSuite.time_parse_ansi": [null, [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928508459, 0.058585], "benchmarks.StyleSuite.time_parse_hex": [null, [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928508518, 0.058293], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [null, [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928508576, 0.059203], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928508636, 0.058099], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928508694, 0.058112], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928508752, 0.057669], "benchmarks.TableSuite.time_table_heavy_wrapping": [null, [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928508810, 0.058181], "benchmarks.TableSuite.time_table_no_wrapping": [null, [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928508868, 0.05935], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928508927, 0.058248], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928508986, 0.057603], "benchmarks.TextSuite.time_divide": [null, [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928509043, 0.057807], "benchmarks.TextSuite.time_divide_unicode_heavy": [null, [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928509101, 0.057848], "benchmarks.TextSuite.time_fit": [null, [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928509159, 0.058172], "benchmarks.TextSuite.time_fit_unicode_heavy": [null, [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928509217, 0.057525], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928509275, 0.057732], "benchmarks.TextSuite.time_render": [null, [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928509333, 0.057952], "benchmarks.TextSuite.time_render_unicode_heavy": [null, [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928509391, 0.057931], "benchmarks.TextSuite.time_split": [null, [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928509449, 0.057919], "benchmarks.TextSuite.time_split_unicode_heavy": [null, [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928509507, 0.058091], "benchmarks.TextSuite.time_wrapping": [null, [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928509565, 0.057806], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [null, [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928509623, 0.057942]}, "durations": {"": 1.957338809967041}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/7441bf27-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/7441bf27-virtualenv-py3.10.json new file mode 100644 index 0000000000..3483b56087 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/7441bf27-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "7441bf27f3a023c9d3cd57229e4e5e06ec1b8e9f", "env_name": "virtualenv-py3.10", "date": 1604838636000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.69993956141873e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929118445, 0.45436, [1.6902e-07], [1.706e-07], [1.6959e-07], [1.7017e-07], [64611], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6992707311881512e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929118673, 0.455, [1.6811e-07], [1.709e-07], [1.6974e-07], [1.7026e-07], [64160], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7042165959298685e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929118900, 0.45666, [1.6919e-07], [1.7381e-07], [1.7017e-07], [1.7061e-07], [64392], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.701407808991948e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929119128, 0.45565, [1.6887e-07], [1.7082e-07], [1.6945e-07], [1.7043e-07], [64057], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7025582359342565e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929119356, 0.45392, [1.6901e-07], [1.7342e-07], [1.6943e-07], [1.711e-07], [64523], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7029257402860175e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929119585, 0.45366, [1.6925e-07], [1.7076e-07], [1.6988e-07], [1.7071e-07], [64840], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001029433349322062], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929119815, 0.44297, [0.0010255], [0.0010321], [0.0010274], [0.0010301], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014356697169465146], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929120035, 0.43558, [0.0014312], [0.0014429], [0.0014338], [0.0014394], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014150416882330319], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929120252, 0.44498, [0.0014119], [0.0014206], [0.0014127], [0.0014172], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1404079408120664e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929120475, 0.45216, [1.1347e-07], [1.1506e-07], [1.1361e-07], [1.1444e-07], [95443], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1443809598085704e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929120701, 0.45489, [1.1399e-07], [1.149e-07], [1.1439e-07], [1.1467e-07], [95745], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1409922493678854e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929120929, 0.45508, [1.1383e-07], [1.1421e-07], [1.1406e-07], [1.1418e-07], [95989], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929114929, 0.061891], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929114991, 0.061595], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929115052, 0.061577], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0027333021243975963], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929121156, 0.44115, [0.0027268], [0.0027483], [0.0027288], [0.0027398], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0018545936666972314], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929121374, 0.44863, [0.0018451], [0.0018652], [0.0018506], [0.0018572], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006624596562687657], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929121595, 0.43908, [0.00065986], [0.00066608], [0.00066138], [0.00066306], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005470712632431011], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929121816, 0.44171, [0.00054432], [0.0005528], [0.00054458], [0.00054816], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8061184237135182e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929122035, 0.44841, [2.8018e-05], [2.8198e-05], [2.8056e-05], [2.8065e-05], [380], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018741521042804315], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929122258, 0.44715, [0.00018649], [0.00018802], [0.00018726], [0.00018763], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2205236956896074e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929122481, 0.44443, [4.2101e-05], [4.2355e-05], [4.2137e-05], [4.2255e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003298904517695548], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929122702, 0.43364, [0.00032901], [0.00033133], [0.00032954], [0.00033032], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003926722694394322], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929122917, 0.43529, [0.00039187], [0.00039371], [0.0003923], [0.00039293], [26], [10]], "benchmarks.TextSuite.time_render": [[4.680221675507437e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929123134, 0.44451, [4.662e-06], [4.6956e-06], [4.6704e-06], [4.6843e-06], [2330], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.536893306080047e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929123359, 0.448, [8.4807e-05], [8.5676e-05], [8.5224e-05], [8.5509e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.379626033534578e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929123585, 0.44541, [3.3681e-05], [3.3922e-05], [3.3742e-05], [3.382e-05], [313], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002797815407550818], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929123806, 0.437, [0.00027888], [0.00028045], [0.0002795], [0.00027998], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001141516221751873], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929124024, 0.43956, [0.0011405], [0.0011435], [0.0011408], [0.0011423], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001525812431022392], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929124242, 0.44277, [0.0015221], [0.0015345], [0.0015229], [0.0015302], [7], [10]]}, "durations": {"": 1.9917261600494385}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/7d00fa83-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/7d00fa83-virtualenv-py3.10.json new file mode 100644 index 0000000000..2d96625aee --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/7d00fa83-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "7d00fa83f262ae3bd6fa6c27661e0894675900fc", "env_name": "virtualenv-py3.10", "date": 1601133139000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7152168381914458e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928935586, 0.45022, [1.7037e-07], [1.7468e-07], [1.7094e-07], [1.7302e-07], [64611], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7124719806948264e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928935812, 0.42435, [1.7021e-07], [1.7596e-07], [1.7065e-07], [1.7297e-07], [59068], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7004018757994035e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928936025, 0.44922, [1.694e-07], [1.7119e-07], [1.695e-07], [1.7066e-07], [64485], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7023790921083508e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928936249, 0.44529, [1.6892e-07], [1.7351e-07], [1.6959e-07], [1.7213e-07], [64905], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7052329803763258e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928936476, 0.44483, [1.6918e-07], [1.7618e-07], [1.6994e-07], [1.7237e-07], [64791], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7033085957146206e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928936701, 0.43773, [1.6877e-07], [1.7081e-07], [1.6981e-07], [1.7038e-07], [64680], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0009145681820386512], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928936926, 0.42703, [0.00091065], [0.000919], [0.00091292], [0.0009166], [11], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928931372, 0.057696], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013091172495478531], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928937139, 0.43233, [0.0013056], [0.0013171], [0.0013087], [0.0013098], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1448396771341196e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928937361, 0.42008, [1.1412e-07], [1.1601e-07], [1.1422e-07], [1.1476e-07], [87636], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1539506549148682e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928937571, 0.44916, [1.1406e-07], [1.1704e-07], [1.1436e-07], [1.1656e-07], [95693], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1471164977843093e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928937796, 0.43959, [1.1401e-07], [1.1677e-07], [1.1446e-07], [1.1558e-07], [95306], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928932299, 0.05767], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928932357, 0.057931], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928932415, 0.057468], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002859541626094142], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928938012, 0.43849, [0.0028467], [0.0028628], [0.002852], [0.0028608], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001917430582883147], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928938236, 0.4463, [0.0019126], [0.0019259], [0.0019149], [0.0019222], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006689111003652215], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928938458, 0.43736, [0.00066326], [0.00068545], [0.00066453], [0.00068324], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.000553631944866437], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928938676, 0.42185, [0.0005489], [0.0005577], [0.00055082], [0.00055466], [18], [10]], "benchmarks.TextSuite.time_divide": [[2.7876415161668826e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928938884, 0.43846, [2.7764e-05], [2.8006e-05], [2.7789e-05], [2.7922e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018746380718719018], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928939102, 0.43805, [0.00018712], [0.00018808], [0.0001874], [0.00018764], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.230848390582844e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928939321, 0.43639, [4.2038e-05], [4.2757e-05], [4.2158e-05], [4.2459e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003381525480841857], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928939537, 0.43111, [0.00033217], [0.00033881], [0.00033273], [0.00033864], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928934224, 0.058127], "benchmarks.TextSuite.time_render": [[4.670490798636853e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928939751, 0.43583, [4.667e-06], [4.6942e-06], [4.6685e-06], [4.6866e-06], [2337], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.537926778516284e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928939972, 0.43947, [8.4675e-05], [8.5659e-05], [8.5186e-05], [8.5463e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.3882745181192426e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928940193, 0.43579, [3.3822e-05], [3.3982e-05], [3.3851e-05], [3.3898e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002802438110528463], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928940410, 0.42857, [0.00027797], [0.00028093], [0.00027941], [0.00028069], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011615555558819324], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928940624, 0.43524, [0.0011469], [0.0011728], [0.0011496], [0.0011715], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015286369286643875], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928940839, 0.43395, [0.0015273], [0.0015322], [0.0015279], [0.00153], [7], [10]]}, "durations": {"": 1.9654920101165771}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/7d02d29b-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/7d02d29b-virtualenv-py3.10.json new file mode 100644 index 0000000000..3ff3a712b4 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/7d02d29b-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "7d02d29ba887c5c2b0203e0fb7e3c34cf1e14079", "env_name": "virtualenv-py3.10", "date": 1620839897000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7077510481264497e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928318810, 0.45309, [1.6936e-07], [1.7157e-07], [1.707e-07], [1.7092e-07], [64410], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.706749065736248e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928319038, 0.45742, [1.6839e-07], [1.777e-07], [1.7044e-07], [1.7107e-07], [64040], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7087207586668443e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928319267, 0.44896, [1.6999e-07], [1.7179e-07], [1.7071e-07], [1.7138e-07], [64421], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6970038628436962e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928319497, 0.45759, [1.6928e-07], [1.7042e-07], [1.6943e-07], [1.7033e-07], [64463], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.702653902179122e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928319726, 0.45623, [1.6886e-07], [1.7112e-07], [1.6917e-07], [1.7068e-07], [64311], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6978547887025366e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928319953, 0.45391, [1.6856e-07], [1.7095e-07], [1.6965e-07], [1.7017e-07], [64982], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010310937490430661], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928320182, 0.44358, [0.0010281], [0.0010342], [0.0010303], [0.0010327], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014274505010689609], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928320403, 0.45385, [0.0014251], [0.0014358], [0.0014254], [0.001431], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014291428565879221], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928320629, 0.43585, [0.0014252], [0.0014377], [0.0014274], [0.0014305], [7], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1466584996186426e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928320845, 0.45462, [1.1386e-07], [1.1489e-07], [1.1426e-07], [1.1481e-07], [95309], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1440406518055994e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928321073, 0.45606, [1.1405e-07], [1.149e-07], [1.1421e-07], [1.1456e-07], [95471], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1432087586143092e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928321302, 0.45638, [1.1421e-07], [1.1494e-07], [1.1425e-07], [1.146e-07], [96087], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928315316, 0.062295], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928315379, 0.06217], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928315441, 0.061908], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002121429200633429], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928321531, 0.44301, [0.0021103], [0.0021321], [0.0021124], [0.0021268], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012849895647377707], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928321756, 0.44529, [0.0012761], [0.0012971], [0.0012803], [0.0012876], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006609492183997645], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928321977, 0.44011, [0.00065855], [0.00066375], [0.000659], [0.00066209], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005540559474244027], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928322200, 0.43631, [0.00054473], [0.00055554], [0.00054723], [0.00055462], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5303272734231173e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928322419, 0.4549, [2.5237e-05], [2.5439e-05], [2.5239e-05], [2.5395e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001852891554931532], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928322645, 0.4503, [0.00018411], [0.0001862], [0.0001845], [0.00018571], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.348280693866252e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928322871, 0.44136, [4.3388e-05], [4.3622e-05], [4.344e-05], [4.358e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032538104841801067], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928323095, 0.43236, [0.00032391], [0.00032614], [0.00032494], [0.0003257], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003564827583714163], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928323309, 0.4387, [0.00035554], [0.00035729], [0.00035597], [0.00035685], [29], [10]], "benchmarks.TextSuite.time_render": [[4.679865193169243e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928323527, 0.44595, [4.6556e-06], [4.7006e-06], [4.6596e-06], [4.6866e-06], [2333], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.495348447468132e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928323754, 0.45365, [8.4525e-05], [8.6103e-05], [8.4707e-05], [8.5316e-05], [129], [10]], "benchmarks.TextSuite.time_split": [[3.518007681978976e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928323983, 0.44174, [3.5117e-05], [3.5323e-05], [3.5155e-05], [3.5208e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002751134869820242], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928324208, 0.442, [0.00027418], [0.00027559], [0.00027491], [0.00027528], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011011437498382294], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928324429, 0.43825, [0.0010993], [0.0011034], [0.0011002], [0.0011017], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014841130718455783], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928324647, 0.43485, [0.0014816], [0.0014891], [0.0014835], [0.0014849], [7], [10]]}, "durations": {"": 2.0028321743011475}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/7e4a2db4-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/7e4a2db4-virtualenv-py3.10.json new file mode 100644 index 0000000000..adae4f767f --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/7e4a2db4-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "7e4a2db4afa29a59ff90d265ad115a225038a5d0", "env_name": "virtualenv-py3.10", "date": 1597915067000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7312274627873389e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928843145, 0.42725, [1.718e-07], [1.7357e-07], [1.7281e-07], [1.733e-07], [59069], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7344319274046708e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928843357, 0.42102, [1.7202e-07], [1.7496e-07], [1.7232e-07], [1.739e-07], [58188], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.777581145458935e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928843566, 0.42961, [1.7185e-07], [1.7928e-07], [1.7674e-07], [1.7828e-07], [58538], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.772104383225627e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928843781, 0.4363, [1.734e-07], [1.8227e-07], [1.7444e-07], [1.7931e-07], [58927], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7272044444259472e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928844001, 0.43276, [1.7104e-07], [1.7416e-07], [1.719e-07], [1.7337e-07], [58999], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7308010152578406e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928844218, 0.44067, [1.6953e-07], [1.752e-07], [1.7148e-07], [1.7371e-07], [64487], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0012555486108693811], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928844434, 0.44469, [0.0012361], [0.0013045], [0.0012413], [0.0012842], [9], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928838944, 0.058717], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0016895034156429272], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928844656, 0.43305, [0.0016802], [0.0017085], [0.001685], [0.0016947], [6], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1612291047267581e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928844871, 0.43274, [1.1511e-07], [1.188e-07], [1.1582e-07], [1.1652e-07], [96550], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1627379717064531e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928845087, 0.43524, [1.1587e-07], [1.1659e-07], [1.1606e-07], [1.164e-07], [96787], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1638364998192817e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928845303, 0.422, [1.1568e-07], [1.1652e-07], [1.1609e-07], [1.1645e-07], [87022], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928839870, 0.057734], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928839928, 0.057605], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928839986, 0.059306], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0022837875003460795], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928845514, 0.43581, [0.0022611], [0.0023101], [0.002267], [0.0022996], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014666101425453754], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928845733, 0.42564, [0.0014631], [0.0014723], [0.0014644], [0.0014681], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006732291677811493], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928845948, 0.43034, [0.00066385], [0.00068119], [0.00066946], [0.00067633], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005628495281497533], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928846161, 0.42767, [0.00054804], [0.00058536], [0.00055807], [0.00056617], [18], [10]], "benchmarks.TextSuite.time_divide": [[2.8208985658150956e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928846371, 0.44365, [2.7865e-05], [2.9148e-05], [2.794e-05], [2.8449e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018850950883668766], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928846594, 0.44194, [0.00018701], [0.00019119], [0.00018714], [0.00019033], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2368358616119776e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928846816, 0.44202, [4.1847e-05], [4.2673e-05], [4.225e-05], [4.2569e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003364388389708174], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928847036, 0.43241, [0.00033108], [0.00033716], [0.00033583], [0.00033691], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928841789, 0.057951], "benchmarks.TextSuite.time_render": [[4.658614678212554e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928847251, 0.43115, [4.6482e-06], [4.7763e-06], [4.6519e-06], [4.6832e-06], [2119], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.536262896541302e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928847469, 0.4424, [8.4729e-05], [8.5824e-05], [8.5276e-05], [8.5483e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.368716559318939e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928847692, 0.43337, [3.3514e-05], [3.4128e-05], [3.3555e-05], [3.38e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002821019191508861], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928847907, 0.43083, [0.00027847], [0.00028576], [0.00027943], [0.00028431], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011662615563384155], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928848121, 0.42793, [0.0011651], [0.0011752], [0.0011655], [0.0011683], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015554523581938285], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928848338, 0.4403, [0.0015541], [0.0015578], [0.0015549], [0.0015561], [7], [10]]}, "durations": {"": 2.0842061042785645}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/7ef7ffee-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/7ef7ffee-virtualenv-py3.10.json new file mode 100644 index 0000000000..3fad19fc4d --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/7ef7ffee-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "7ef7ffeee33f269be0a9c36efad943ac8bd15487", "env_name": "virtualenv-py3.10", "date": 1609437433000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6997115926848885e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929204123, 0.45748, [1.6906e-07], [1.7159e-07], [1.6974e-07], [1.7082e-07], [64319], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.706327780843142e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929204351, 0.45507, [1.6897e-07], [1.7215e-07], [1.7017e-07], [1.7123e-07], [64363], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.707562660580813e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929204579, 0.44674, [1.6962e-07], [1.7201e-07], [1.6994e-07], [1.7098e-07], [64554], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7003118888666897e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929204806, 0.45514, [1.6919e-07], [1.7091e-07], [1.6945e-07], [1.7037e-07], [64286], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7044878890213844e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929205033, 0.45498, [1.7014e-07], [1.7266e-07], [1.7024e-07], [1.7136e-07], [64156], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7011135523638199e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929205260, 0.45723, [1.6903e-07], [1.7123e-07], [1.6939e-07], [1.7038e-07], [64447], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010279999507474711], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929205487, 0.44118, [0.0010227], [0.0010321], [0.0010253], [0.0010298], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014366607148466365], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929205705, 0.43525, [0.0014323], [0.001451], [0.0014361], [0.0014396], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014127708127489313], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929205920, 0.44605, [0.0014089], [0.0014172], [0.0014096], [0.0014134], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1407525987620847e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929206143, 0.45375, [1.1387e-07], [1.1429e-07], [1.1394e-07], [1.1424e-07], [95828], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1432287290079367e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929206370, 0.45274, [1.1392e-07], [1.1498e-07], [1.1413e-07], [1.1467e-07], [95344], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1463674062890038e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929206595, 0.45355, [1.1425e-07], [1.1496e-07], [1.1445e-07], [1.1468e-07], [95385], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929200596, 0.062448], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929200659, 0.061732], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929200721, 0.061748], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.003225901000405429], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929206822, 0.47048, [0.0032218], [0.0032385], [0.0032253], [0.0032281], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.002120674998150207], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929207055, 0.44282, [0.0021002], [0.0021341], [0.0021094], [0.0021281], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006601445311389398], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929207279, 0.44052, [0.00065804], [0.00066373], [0.00065897], [0.00066197], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.000546400237669188], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929207500, 0.44218, [0.00054333], [0.00055386], [0.0005453], [0.00054747], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8034559086825592e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929207718, 0.44825, [2.7841e-05], [2.831e-05], [2.7864e-05], [2.8285e-05], [381], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018681578078764703], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929207942, 0.44605, [0.0001861], [0.00018853], [0.00018647], [0.00018714], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.239101994845764e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929208165, 0.43927, [4.2093e-05], [4.244e-05], [4.2172e-05], [4.2416e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003296060604043305], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929208387, 0.45608, [0.00032852], [0.00033145], [0.00032881], [0.00033094], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00039179086497125146], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929208613, 0.43372, [0.0003914], [0.00039339], [0.0003916], [0.00039198], [26], [10]], "benchmarks.TextSuite.time_render": [[4.708054804081965e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929208828, 0.44413, [4.6782e-06], [4.716e-06], [4.7039e-06], [4.7135e-06], [2317], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.508661421800516e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929209053, 0.44699, [8.4722e-05], [8.6361e-05], [8.4774e-05], [8.5719e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.385616983928813e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929209279, 0.44384, [3.3669e-05], [3.3995e-05], [3.3734e-05], [3.389e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027874831072482705], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929209499, 0.43593, [0.00027804], [0.0002805], [0.00027849], [0.00027933], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011445926098127125], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929209716, 0.43905, [0.0011432], [0.0011518], [0.001144], [0.0011452], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015272857147335473], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929209934, 0.4428, [0.0015239], [0.0015356], [0.0015245], [0.0015317], [7], [10]]}, "durations": {"": 1.9905059337615967}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/837b6d7e-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/837b6d7e-virtualenv-py3.10.json new file mode 100644 index 0000000000..58d918a829 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/837b6d7e-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "837b6d7e85254f0047cb41a4cbe0e4b00f54809d", "env_name": "virtualenv-py3.10", "date": 1593800813000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7314400652883433e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928628094, 0.43377, [1.7156e-07], [1.7366e-07], [1.7265e-07], [1.7323e-07], [64761], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7027701335729176e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928628311, 0.45028, [1.6933e-07], [1.7068e-07], [1.6991e-07], [1.7056e-07], [64681], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7082448805436622e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928628535, 0.4374, [1.6882e-07], [1.7336e-07], [1.7015e-07], [1.7289e-07], [64121], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.716318124119509e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928628757, 0.43994, [1.7043e-07], [1.7408e-07], [1.707e-07], [1.7392e-07], [64315], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.731136091072997e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928628981, 0.42481, [1.7236e-07], [1.7422e-07], [1.7288e-07], [1.7371e-07], [58807], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7379118770533637e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928629192, 0.45223, [1.7311e-07], [1.7478e-07], [1.7336e-07], [1.7419e-07], [64285], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022265042032813655], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928629419, 0.43745, [0.0022056], [0.0022521], [0.002208], [0.0022448], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928624370, 0.058751], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928624429, 0.058399], "benchmarks.StyleSuite.time_parse_ansi": [[1.1601193713591404e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928629634, 0.44023, [1.1556e-07], [1.1614e-07], [1.159e-07], [1.1604e-07], [96547], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1387365450129381e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928629859, 0.43791, [1.1344e-07], [1.1448e-07], [1.1376e-07], [1.1429e-07], [96434], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1488108242607518e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928630083, 0.43797, [1.1354e-07], [1.1628e-07], [1.138e-07], [1.1613e-07], [96138], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928625132, 0.058143], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928625190, 0.057854], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928625248, 0.057857], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002100912400055677], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928630306, 0.43308, [0.0020977], [0.0021073], [0.0021003], [0.0021016], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014629047156112002], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928630525, 0.42589, [0.0014545], [0.0014674], [0.0014561], [0.001465], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928625732, 0.058355], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928625790, 0.058843], "benchmarks.TextSuite.time_divide": [[2.778382078357428e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928630740, 0.44048, [2.7731e-05], [2.783e-05], [2.774e-05], [2.7793e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001872054037225449], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928630960, 0.43882, [0.00018586], [0.0001878], [0.00018685], [0.00018744], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.273183603072539e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928631179, 0.44109, [4.2158e-05], [4.3363e-05], [4.227e-05], [4.3173e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.000335991935102239], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928631400, 0.43127, [0.00033443], [0.00033806], [0.00033488], [0.00033686], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928626729, 0.058235], "benchmarks.TextSuite.time_render": [[4.682887363269996e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928631614, 0.4372, [4.6773e-06], [4.6896e-06], [4.681e-06], [4.6848e-06], [2326], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.672292907557296e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928631836, 0.44366, [8.4552e-05], [8.811e-05], [8.6325e-05], [8.7698e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.445008112905341e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928632058, 0.43619, [3.3619e-05], [3.4768e-05], [3.4274e-05], [3.4602e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002822015812853351], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928632274, 0.43194, [0.00027969], [0.00028413], [0.0002807], [0.00028398], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011445162219590405], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928632490, 0.43268, [0.0011387], [0.0011504], [0.001142], [0.0011454], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015336725711157279], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928632704, 0.43729, [0.0015169], [0.0015511], [0.0015199], [0.0015466], [7], [10]]}, "durations": {"": 1.9572207927703857}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/88b07b3e-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/88b07b3e-virtualenv-py3.10.json new file mode 100644 index 0000000000..4e730690a1 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/88b07b3e-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "88b07b3ebc64356e6036bb8a2f33b006af64f7a7", "env_name": "virtualenv-py3.10", "date": 1610705207000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7024395317885234e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929275552, 0.4558, [1.6925e-07], [1.7062e-07], [1.6967e-07], [1.7054e-07], [59618], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7039474633023662e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929275769, 0.45688, [1.6977e-07], [1.707e-07], [1.7021e-07], [1.7051e-07], [64259], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7085925471028554e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929275997, 0.45949, [1.7047e-07], [1.716e-07], [1.7067e-07], [1.713e-07], [63654], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6988362170702758e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929276226, 0.45801, [1.6885e-07], [1.7161e-07], [1.6956e-07], [1.7016e-07], [63835], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.699852078992171e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929276456, 0.45899, [1.691e-07], [1.7179e-07], [1.697e-07], [1.7004e-07], [64392], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7007414558399993e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929276686, 0.46057, [1.6966e-07], [1.709e-07], [1.6978e-07], [1.7068e-07], [64252], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010232624990749173], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929276914, 0.44575, [0.0010199], [0.0010282], [0.0010218], [0.0010261], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014402618565197503], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929277134, 0.43938, [0.0014295], [0.0014576], [0.0014332], [0.0014474], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014254296856961446], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929277353, 0.45935, [0.0014094], [0.0014915], [0.001415], [0.0014579], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1414959633109373e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929277591, 0.45539, [1.1374e-07], [1.1518e-07], [1.1406e-07], [1.1437e-07], [95751], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1459040947674226e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929277820, 0.45661, [1.142e-07], [1.1646e-07], [1.1422e-07], [1.1584e-07], [95759], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1420448083004163e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929278050, 0.45519, [1.137e-07], [1.1515e-07], [1.1399e-07], [1.1464e-07], [95630], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929271990, 0.062413], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929272053, 0.061734], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929272115, 0.061817], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0032390416236012243], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929278278, 0.46664, [0.0032268], [0.0032562], [0.0032348], [0.0032404], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.00213432919990737], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929278514, 0.44632, [0.0021176], [0.0021573], [0.0021264], [0.0021419], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006624570314670564], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929278740, 0.44399, [0.00065892], [0.0006752], [0.00066057], [0.00067112], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005475789473980274], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929278964, 0.44477, [0.00054442], [0.00055428], [0.00054638], [0.00054814], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.785563578661385e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929279184, 0.44793, [2.7741e-05], [2.7975e-05], [2.7784e-05], [2.787e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018819684492913877], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929279408, 0.45633, [0.000187], [0.00019449], [0.00018749], [0.00018916], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.244121055492023e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929279635, 0.44965, [4.2208e-05], [4.386e-05], [4.227e-05], [4.2752e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003306290323493041], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929279855, 0.43765, [0.00032947], [0.00033426], [0.00033029], [0.00033243], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00039268511542244454], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929280072, 0.43942, [0.00039134], [0.00040039], [0.00039235], [0.0003952], [26], [10]], "benchmarks.TextSuite.time_render": [[4.67088127233714e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929280287, 0.45986, [4.6494e-06], [4.7587e-06], [4.6563e-06], [4.6839e-06], [2333], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.528571428513036e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929280516, 0.45045, [8.4575e-05], [8.6745e-05], [8.494e-05], [8.629e-05], [126], [10]], "benchmarks.TextSuite.time_split": [[3.392754973528776e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929280742, 0.44714, [3.3744e-05], [3.4147e-05], [3.3868e-05], [3.4032e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002799898647936061], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929280965, 0.44157, [0.00027838], [0.00028276], [0.00027951], [0.00028074], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001156333332700241], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929281184, 0.43864, [0.0011494], [0.0012274], [0.00115], [0.0011836], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015330029979980153], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929281404, 0.45116, [0.0015266], [0.0015464], [0.0015283], [0.0015362], [7], [10]]}, "durations": {"": 2.0033068656921387}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/8a7f5d82-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/8a7f5d82-virtualenv-py3.10.json new file mode 100644 index 0000000000..86e519b5bf --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/8a7f5d82-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "8a7f5d82ba7bbe108a17bdc75720d11852968aed", "env_name": "virtualenv-py3.10", "date": 1608315995000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6953014842832631e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929175581, 0.45837, [1.6859e-07], [1.7111e-07], [1.6924e-07], [1.7013e-07], [64614], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7055859463819154e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929175811, 0.4559, [1.6873e-07], [1.7156e-07], [1.7018e-07], [1.708e-07], [64605], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.6983904257291298e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929176040, 0.44875, [1.6884e-07], [1.7136e-07], [1.6931e-07], [1.7113e-07], [64837], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7045226080122942e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929176270, 0.45509, [1.6886e-07], [1.7153e-07], [1.6988e-07], [1.7096e-07], [64664], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7083843096820946e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929176500, 0.45395, [1.7e-07], [1.7213e-07], [1.7072e-07], [1.7119e-07], [63852], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7056262349747764e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929176726, 0.45651, [1.6929e-07], [1.7151e-07], [1.7002e-07], [1.7084e-07], [64784], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010255041997879744], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929176955, 0.44675, [0.0010244], [0.0010292], [0.0010247], [0.0010267], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014361369290522166], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929177179, 0.43637, [0.0014333], [0.0014427], [0.0014342], [0.0014383], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014121197491476778], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929177395, 0.447, [0.0014098], [0.001421], [0.0014109], [0.0014151], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1425290498552254e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929177619, 0.45619, [1.1397e-07], [1.1464e-07], [1.1399e-07], [1.1454e-07], [96212], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1409599503140356e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929177848, 0.454, [1.1369e-07], [1.1445e-07], [1.14e-07], [1.1423e-07], [95630], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1446415029047722e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929178076, 0.45409, [1.1422e-07], [1.1472e-07], [1.144e-07], [1.1465e-07], [95440], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929172058, 0.062077], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929172120, 0.062048], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929172183, 0.0617], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.003236182252294384], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929178304, 0.47107, [0.0032297], [0.0032508], [0.0032342], [0.0032376], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0021179625007789584], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929178538, 0.44453, [0.0021047], [0.0021287], [0.0021112], [0.0021221], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006580625004062313], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929178763, 0.43839, [0.00065668], [0.00066048], [0.00065736], [0.00065853], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005475537105475699], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929178985, 0.44479, [0.00054448], [0.00055454], [0.00054663], [0.00054887], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.7875818851161895e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929179207, 0.44904, [2.7843e-05], [2.942e-05], [2.7866e-05], [2.7925e-05], [381], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018679458758254585], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929179430, 0.44714, [0.00018551], [0.00018738], [0.0001863], [0.00018695], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2090219780690065e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929179653, 0.44407, [4.1999e-05], [4.2323e-05], [4.2038e-05], [4.2205e-05], [248], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032867472609429953], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929179874, 0.43478, [0.00032795], [0.00032909], [0.00032818], [0.00032894], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003919551348259959], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929180091, 0.43392, [0.00039115], [0.00039297], [0.00039193], [0.00039203], [26], [10]], "benchmarks.TextSuite.time_render": [[4.666072373758572e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929180306, 0.44691, [4.6561e-06], [4.6793e-06], [4.6635e-06], [4.6687e-06], [2349], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.524071870397165e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929180534, 0.45074, [8.491e-05], [8.5762e-05], [8.5152e-05], [8.5361e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.3787192268601546e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929180761, 0.44501, [3.3666e-05], [3.4061e-05], [3.376e-05], [3.385e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027918186498101095], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929180982, 0.43643, [0.00027714], [0.00028031], [0.00027802], [0.00027992], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011476018892911573], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929181199, 0.44175, [0.001142], [0.0011542], [0.0011425], [0.0011533], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001525970215360368], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929181419, 0.44329, [0.0015241], [0.0015296], [0.0015258], [0.0015279], [7], [10]]}, "durations": {"": 1.9889202117919922}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/8b185610-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/8b185610-virtualenv-py3.10.json new file mode 100644 index 0000000000..420214fe0e --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/8b185610-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "8b185610d336693f2ff08c30157682ba7382d9ee", "env_name": "virtualenv-py3.10", "date": 1594399550000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7168903867823397e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928676356, 0.42605, [1.6868e-07], [1.7356e-07], [1.6987e-07], [1.7322e-07], [59181], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7156599994907917e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928676570, 0.45073, [1.6883e-07], [1.7373e-07], [1.6964e-07], [1.7334e-07], [64303], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.718635833089222e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928676797, 0.42913, [1.7004e-07], [1.7429e-07], [1.704e-07], [1.7331e-07], [64325], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7129236887015558e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928677012, 0.44036, [1.6838e-07], [1.74e-07], [1.6978e-07], [1.7338e-07], [64711], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7331575899968566e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928677228, 0.44188, [1.6939e-07], [1.7654e-07], [1.7198e-07], [1.7369e-07], [64611], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.730976246412862e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928677444, 0.4325, [1.7272e-07], [1.7357e-07], [1.728e-07], [1.7333e-07], [64538], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022552750015165657], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928677659, 0.44322, [0.0022378], [0.0022778], [0.002239], [0.0022725], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928672618, 0.058588], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928672677, 0.058272], "benchmarks.StyleSuite.time_parse_ansi": [[1.1619377396060483e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928677879, 0.42452, [1.1594e-07], [1.1652e-07], [1.1606e-07], [1.1642e-07], [87793], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1637748378131947e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928678091, 0.44074, [1.1421e-07], [1.1725e-07], [1.1488e-07], [1.1682e-07], [95873], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.155181537751077e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928678307, 0.44095, [1.1416e-07], [1.1656e-07], [1.1456e-07], [1.1643e-07], [96041], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928673397, 0.058196], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928673455, 0.057861], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928673513, 0.058665], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002130449903779663], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928678525, 0.43856, [0.0021231], [0.0021428], [0.0021275], [0.0021371], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014712708590585472], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928678747, 0.42785, [0.0014624], [0.0014875], [0.0014652], [0.001481], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928673999, 0.058368], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928674057, 0.058557], "benchmarks.TextSuite.time_divide": [[2.8091873364175325e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928678964, 0.44376, [2.7756e-05], [2.8428e-05], [2.7814e-05], [2.8354e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018709247345676677], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928679187, 0.439, [0.00018632], [0.00018768], [0.00018648], [0.00018735], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.283656973523492e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928679407, 0.43359, [4.2742e-05], [4.3007e-05], [4.2786e-05], [4.2897e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003362728551315564], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928679627, 0.43277, [0.00033497], [0.00033736], [0.00033578], [0.0003365], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928674988, 0.058294], "benchmarks.TextSuite.time_render": [[4.684978898870939e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928679842, 0.43744, [4.6601e-06], [4.7325e-06], [4.6687e-06], [4.705e-06], [2322], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.625716418464435e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928680065, 0.44709, [8.5348e-05], [8.7329e-05], [8.5556e-05], [8.6888e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.4101948380515346e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928680292, 0.43858, [3.3711e-05], [3.456e-05], [3.3737e-05], [3.4476e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.000282641891563135], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928680511, 0.43373, [0.00027884], [0.00028615], [0.00027948], [0.00028494], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011528495573050654], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928680726, 0.43438, [0.0011346], [0.0011632], [0.0011372], [0.0011614], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015347560007025354], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928680939, 0.43682, [0.001515], [0.0015497], [0.0015179], [0.0015489], [7], [10]]}, "durations": {"": 1.964888095855713}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/8b47f338-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/8b47f338-virtualenv-py3.10.json new file mode 100644 index 0000000000..f586b61617 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/8b47f338-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "8b47f338e2b17e0e97c973fb488c6d039cade3a6", "env_name": "virtualenv-py3.10", "date": 1637241388000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.704770948299811e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929498335, 0.46535, [1.6941e-07], [1.7118e-07], [1.6981e-07], [1.7073e-07], [64505], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7028041498662157e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929498566, 0.46247, [1.6948e-07], [1.7149e-07], [1.6998e-07], [1.7051e-07], [64845], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7013318067423483e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929498799, 0.4604, [1.6967e-07], [1.7044e-07], [1.7005e-07], [1.7037e-07], [64480], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7048964461196602e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929499030, 0.46266, [1.6978e-07], [1.7342e-07], [1.7018e-07], [1.7111e-07], [64702], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.710183421980304e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929499262, 0.4644, [1.6905e-07], [1.7343e-07], [1.7023e-07], [1.7189e-07], [64659], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7028929748629222e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929499495, 0.4667, [1.6938e-07], [1.7198e-07], [1.7009e-07], [1.7052e-07], [64686], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001039081248745788], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929499727, 0.44389, [0.0010375], [0.0010456], [0.0010384], [0.0010401], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014347708129207604], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929499952, 0.46215, [0.0014232], [0.0014423], [0.0014295], [0.0014374], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013174009982321877], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929500183, 0.44583, [0.0012999], [0.0013229], [0.0013051], [0.0013205], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.144420922600396e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929500410, 0.46225, [1.1388e-07], [1.1708e-07], [1.1436e-07], [1.1517e-07], [96170], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1470633126258756e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929500642, 0.44546, [1.1391e-07], [1.185e-07], [1.1428e-07], [1.1517e-07], [87568], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1445141108981999e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929500869, 0.46398, [1.1408e-07], [1.1492e-07], [1.1428e-07], [1.1471e-07], [96174], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929494748, 0.066077], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929494814, 0.066052], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929494880, 0.065718], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0022119542001746593], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929501102, 0.45225, [0.0021935], [0.0022166], [0.0022008], [0.0022153], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0013303228770382702], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929501325, 0.45344, [0.0013251], [0.0013386], [0.0013292], [0.0013349], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003806986605923157], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929501556, 0.45671, [0.00038033], [0.00038155], [0.00038042], [0.00038078], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034290322641496575], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929501782, 0.45645, [0.0003397], [0.0003518], [0.00034112], [0.0003484], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5345872369522895e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929502009, 0.4603, [2.5248e-05], [2.5446e-05], [2.5287e-05], [2.5395e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018478592241520127], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929502238, 0.45732, [0.0001843], [0.00019192], [0.0001846], [0.00018495], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3506973496714264e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929502467, 0.44784, [4.342e-05], [4.4112e-05], [4.3461e-05], [4.3614e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032628562926660264], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929502694, 0.43938, [0.00032502], [0.00032752], [0.00032557], [0.00032668], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.000355923844898794], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929502912, 0.44618, [0.00035429], [0.00035689], [0.00035487], [0.00035642], [29], [10]], "benchmarks.TextSuite.time_render": [[4.654723462910036e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929503134, 0.45355, [4.6398e-06], [4.6846e-06], [4.6485e-06], [4.6608e-06], [2327], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.532660635184555e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929503365, 0.45703, [8.4378e-05], [8.6022e-05], [8.5116e-05], [8.5704e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.539265578313332e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929503594, 0.45204, [3.5322e-05], [3.5428e-05], [3.5374e-05], [3.5422e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002751573418591809], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929503825, 0.4488, [0.00027426], [0.00028041], [0.00027456], [0.00027936], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010963458495098165], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929504049, 0.44783, [0.0010906], [0.0011211], [0.001092], [0.0011161], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013667968742083758], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929504272, 0.45775, [0.0013635], [0.0013722], [0.0013649], [0.0013686], [8], [10]]}, "durations": {"": 1.9783689975738525}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/911d305f-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/911d305f-virtualenv-py3.10.json new file mode 100644 index 0000000000..964846052e --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/911d305f-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "911d305fe718d989a5d3606c8e0cdf5db97bf8fe", "env_name": "virtualenv-py3.10", "date": 1592142712000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [null, [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928519164, 0.05889], "benchmarks.ColorSuite.time_downgrade_to_standard": [null, [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928519223, 0.058991], "benchmarks.ColorSuite.time_downgrade_to_windows": [null, [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928519282, 0.058612], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [null, [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928519341, 0.058286], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [null, [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928519400, 0.057999], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [null, [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928519458, 0.058387], "benchmarks.PrettySuite.time_pretty": [null, [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928519516, 0.057659], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928519574, 0.057636], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928519631, 0.057999], "benchmarks.StyleSuite.time_parse_ansi": [null, [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928519690, 0.058697], "benchmarks.StyleSuite.time_parse_hex": [null, [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928519748, 0.060165], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [null, [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928519809, 0.057682], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928519866, 0.058021], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928519924, 0.05799], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928519982, 0.05768], "benchmarks.TableSuite.time_table_heavy_wrapping": [null, [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928520040, 0.058119], "benchmarks.TableSuite.time_table_no_wrapping": [null, [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928520098, 0.059722], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928520158, 0.058841], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928520217, 0.057828], "benchmarks.TextSuite.time_divide": [null, [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928520275, 0.058048], "benchmarks.TextSuite.time_divide_unicode_heavy": [null, [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928520333, 0.057758], "benchmarks.TextSuite.time_fit": [null, [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928520391, 0.05827], "benchmarks.TextSuite.time_fit_unicode_heavy": [null, [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928520449, 0.057695], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928520507, 0.057978], "benchmarks.TextSuite.time_render": [null, [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928520565, 0.057817], "benchmarks.TextSuite.time_render_unicode_heavy": [null, [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928520623, 0.057796], "benchmarks.TextSuite.time_split": [null, [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928520681, 0.05822], "benchmarks.TextSuite.time_split_unicode_heavy": [null, [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928520739, 0.057887], "benchmarks.TextSuite.time_wrapping": [null, [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928520797, 0.05788], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [null, [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928520855, 0.057894]}, "durations": {"": 1.9719171524047852}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/932e26b6-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/932e26b6-virtualenv-py3.10.json new file mode 100644 index 0000000000..a383d78389 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/932e26b6-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "932e26b6508ccc10469a091f5e629dee8f2c124b", "env_name": "virtualenv-py3.10", "date": 1594142083000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7375078801034093e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928652230, 0.42456, [1.7282e-07], [1.7517e-07], [1.7355e-07], [1.7453e-07], [58370], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7232673024938964e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928652441, 0.42474, [1.7162e-07], [1.7374e-07], [1.7202e-07], [1.7317e-07], [59113], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7179807855122533e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928652652, 0.43885, [1.6901e-07], [1.7767e-07], [1.7004e-07], [1.7416e-07], [64119], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.738748867612897e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928652874, 0.42584, [1.7288e-07], [1.7448e-07], [1.7346e-07], [1.7405e-07], [58579], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7205797626414604e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928653085, 0.44103, [1.6998e-07], [1.7542e-07], [1.7083e-07], [1.7433e-07], [64328], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7357968707662575e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928653301, 0.44615, [1.6884e-07], [1.7752e-07], [1.7302e-07], [1.7394e-07], [64314], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022556415991857644], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928653529, 0.44268, [0.0022447], [0.0022682], [0.0022478], [0.0022604], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928648504, 0.058183], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928648562, 0.058728], "benchmarks.StyleSuite.time_parse_ansi": [[1.1636780299431053e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928653747, 0.42378, [1.1596e-07], [1.1654e-07], [1.1619e-07], [1.1651e-07], [87415], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1610518087156556e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928653959, 0.42607, [1.1602e-07], [1.1714e-07], [1.1605e-07], [1.1639e-07], [87825], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1519156793616148e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928654172, 0.44173, [1.1384e-07], [1.1696e-07], [1.1411e-07], [1.165e-07], [96420], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928649271, 0.058128], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928649329, 0.058031], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928649387, 0.057526], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021029166993685065], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928654389, 0.43446, [0.0020978], [0.0021154], [0.0020997], [0.0021052], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014632678544980343], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928654609, 0.42624, [0.0014495], [0.0014684], [0.0014525], [0.0014662], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928649870, 0.058305], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928649929, 0.05829], "benchmarks.TextSuite.time_divide": [[2.779296494252351e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928654825, 0.44419, [2.7688e-05], [2.8234e-05], [2.7726e-05], [2.8139e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00019048204332397414], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928655048, 0.43886, [0.00018928], [0.00019078], [0.00019018], [0.00019067], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.241432530345418e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928655273, 0.44251, [4.2136e-05], [4.3417e-05], [4.2318e-05], [4.2513e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003329099516474432], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928655494, 0.43602, [0.00032839], [0.000338], [0.00032894], [0.000337], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928650860, 0.058311], "benchmarks.TextSuite.time_render": [[4.727717685895485e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928655715, 0.44039, [4.6884e-06], [4.7761e-06], [4.6927e-06], [4.7662e-06], [2329], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.719368349829892e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928655940, 0.44761, [8.6326e-05], [8.8197e-05], [8.68e-05], [8.7318e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.4062033638549154e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928656165, 0.43906, [3.3642e-05], [3.4534e-05], [3.3693e-05], [3.4464e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028500112160612405], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928656385, 0.43557, [0.00028298], [0.00028643], [0.0002842], [0.00028562], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011527013880873306], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928656602, 0.43383, [0.0011354], [0.0011624], [0.0011386], [0.0011614], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015521250004115117], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928656818, 0.4409, [0.0015454], [0.0015612], [0.0015494], [0.0015548], [7], [10]]}, "durations": {"": 1.9519822597503662}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/949e1f72-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/949e1f72-virtualenv-py3.10.json new file mode 100644 index 0000000000..f21df2e97f --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/949e1f72-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "949e1f72fb9f2f90abb18cbdef47609a24febdb7", "env_name": "virtualenv-py3.10", "date": 1607775158000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7029757551577644e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929147028, 0.45655, [1.6968e-07], [1.7081e-07], [1.7003e-07], [1.7045e-07], [64550], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7129334648886068e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929147257, 0.45789, [1.7057e-07], [1.7384e-07], [1.7095e-07], [1.7286e-07], [64175], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7037231874163812e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929147485, 0.45818, [1.6941e-07], [1.733e-07], [1.6993e-07], [1.7098e-07], [64097], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7019146784158564e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929147713, 0.45524, [1.6928e-07], [1.7084e-07], [1.6971e-07], [1.7038e-07], [64123], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7040813538765309e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929147941, 0.45569, [1.697e-07], [1.7467e-07], [1.7002e-07], [1.7059e-07], [63784], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7041177953576877e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929148168, 0.45847, [1.697e-07], [1.712e-07], [1.7006e-07], [1.7062e-07], [64356], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010309937002602964], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929148396, 0.44574, [0.0010281], [0.0010354], [0.0010298], [0.0010314], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014440446414352793], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929148618, 0.43949, [0.0014396], [0.0014538], [0.001441], [0.001446], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014179766258166637], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929148836, 0.44533, [0.0014117], [0.0014268], [0.0014147], [0.0014216], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1481544149288418e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929149061, 0.45295, [1.1427e-07], [1.1543e-07], [1.1445e-07], [1.1495e-07], [94829], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1436803517864134e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929149288, 0.45272, [1.1379e-07], [1.1477e-07], [1.1416e-07], [1.1451e-07], [95120], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1455043607759289e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929149514, 0.45456, [1.1413e-07], [1.152e-07], [1.1445e-07], [1.1475e-07], [95309], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929143508, 0.061859], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929143570, 0.061879], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929143632, 0.061608], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002748364622675581], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929149742, 0.45106, [0.0027357], [0.0027663], [0.0027416], [0.0027589], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0018719340005191043], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929149962, 0.44157, [0.0018634], [0.0018768], [0.0018703], [0.0018723], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006610716236536973], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929150185, 0.44031, [0.00065694], [0.0006701], [0.00065804], [0.00066623], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005484835526562835], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929150409, 0.44485, [0.00054418], [0.00055302], [0.00054563], [0.00055031], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.786643714436783e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929150628, 0.4467, [2.7809e-05], [2.795e-05], [2.7834e-05], [2.7885e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001872562192658191], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929150851, 0.44655, [0.00018629], [0.00018763], [0.000187], [0.00018742], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.215380280098666e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929151074, 0.44672, [4.2108e-05], [4.2228e-05], [4.2135e-05], [4.219e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003298608874413936], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929151296, 0.43489, [0.00032922], [0.00033071], [0.00032967], [0.00033], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003935088081142077], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929151512, 0.43634, [0.00039083], [0.00039563], [0.00039177], [0.00039506], [26], [10]], "benchmarks.TextSuite.time_render": [[4.689375974753977e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929151728, 0.4435, [4.6454e-06], [4.7239e-06], [4.6508e-06], [4.7204e-06], [2310], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.544791398890084e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929151952, 0.45091, [8.4735e-05], [8.6213e-05], [8.532e-05], [8.5682e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.376495670892883e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929152179, 0.44394, [3.3636e-05], [3.3927e-05], [3.37e-05], [3.3829e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002801216213737388], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929152401, 0.43747, [0.00027783], [0.00028155], [0.0002787], [0.00028053], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001147650444181636], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929152618, 0.44158, [0.0011449], [0.0011499], [0.0011466], [0.0011488], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015247916432729524], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929152837, 0.44279, [0.0015232], [0.0015308], [0.001524], [0.001526], [7], [10]]}, "durations": {"": 1.9965839385986328}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/95d8bf98-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/95d8bf98-virtualenv-py3.10.json new file mode 100644 index 0000000000..c9cb5bc562 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/95d8bf98-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "95d8bf9841d0f7f467d87e347d1620a054b9eee6", "env_name": "virtualenv-py3.10", "date": 1591521223000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [null, [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928504190, 0.060062], "benchmarks.ColorSuite.time_downgrade_to_standard": [null, [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928504251, 0.058234], "benchmarks.ColorSuite.time_downgrade_to_windows": [null, [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928504309, 0.05794], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [null, [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928504367, 0.057871], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [null, [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928504425, 0.057688], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [null, [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928504483, 0.058], "benchmarks.PrettySuite.time_pretty": [null, [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928504541, 0.058312], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928504599, 0.058035], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928504657, 0.058021], "benchmarks.StyleSuite.time_parse_ansi": [null, [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928504715, 0.059098], "benchmarks.StyleSuite.time_parse_hex": [null, [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928504774, 0.059978], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [null, [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928504835, 0.063138], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928504898, 0.060041], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928504958, 0.058854], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928505017, 0.058735], "benchmarks.TableSuite.time_table_heavy_wrapping": [null, [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928505076, 0.059871], "benchmarks.TableSuite.time_table_no_wrapping": [null, [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928505136, 0.058193], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928505194, 0.058021], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928505252, 0.05804], "benchmarks.TextSuite.time_divide": [null, [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928505310, 0.057805], "benchmarks.TextSuite.time_divide_unicode_heavy": [null, [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928505368, 0.058285], "benchmarks.TextSuite.time_fit": [null, [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928505426, 0.057829], "benchmarks.TextSuite.time_fit_unicode_heavy": [null, [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928505484, 0.057966], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928505542, 0.058825], "benchmarks.TextSuite.time_render": [null, [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928505601, 0.058993], "benchmarks.TextSuite.time_render_unicode_heavy": [null, [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928505660, 0.058045], "benchmarks.TextSuite.time_split": [null, [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928505718, 0.057868], "benchmarks.TextSuite.time_split_unicode_heavy": [null, [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928505776, 0.057619], "benchmarks.TextSuite.time_wrapping": [null, [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928505834, 0.058251], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [null, [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928505892, 0.057668]}, "durations": {"": 2.12862491607666}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/96ea5fed-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/96ea5fed-virtualenv-py3.10.json new file mode 100644 index 0000000000..d7a93d49cf --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/96ea5fed-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "96ea5feddfa8130ca8e961ab772dfdbb836cb3fa", "env_name": "virtualenv-py3.10", "date": 1598372847000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7316030840513793e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928856427, 0.42741, [1.7267e-07], [1.7448e-07], [1.7288e-07], [1.7347e-07], [58952], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7276608421838726e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928856639, 0.4259, [1.7187e-07], [1.743e-07], [1.7218e-07], [1.7377e-07], [58923], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7196527954547122e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928856852, 0.43995, [1.6886e-07], [1.7405e-07], [1.7053e-07], [1.7321e-07], [64443], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7357961115949515e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928857076, 0.43478, [1.6868e-07], [1.7463e-07], [1.7103e-07], [1.7398e-07], [64809], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7308621182496977e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928857291, 0.43332, [1.717e-07], [1.744e-07], [1.7214e-07], [1.7368e-07], [58623], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7374265166264073e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928857511, 0.42335, [1.7291e-07], [1.7402e-07], [1.7341e-07], [1.7396e-07], [58652], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001097102051426191], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928857721, 0.43139, [0.0010913], [0.0011045], [0.0010954], [0.001099], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928852181, 0.058487], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.001493163641758396], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928857937, 0.43031, [0.0014892], [0.0015001], [0.0014917], [0.0014972], [7], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1650578665402596e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928858156, 0.42528, [1.161e-07], [1.1773e-07], [1.1645e-07], [1.1664e-07], [87616], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1636110488428678e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928858369, 0.44929, [1.1598e-07], [1.1696e-07], [1.1628e-07], [1.1656e-07], [94647], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1662411426497627e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928858593, 0.42483, [1.1595e-07], [1.2152e-07], [1.164e-07], [1.1852e-07], [86956], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928853102, 0.059031], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928853162, 0.057906], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928853219, 0.057841], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0030062344994803425], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928858805, 0.45159, [0.0029959], [0.003032], [0.0030028], [0.0030158], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0019549964999896474], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928859036, 0.4454, [0.0019383], [0.0019804], [0.0019503], [0.0019601], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006746847328031435], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928859261, 0.42948, [0.00067265], [0.00068436], [0.00067422], [0.0006759], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005672357365256175], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928859472, 0.43532, [0.00055666], [0.00057062], [0.00056009], [0.00056754], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8418685870028115e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928859694, 0.44721, [2.8232e-05], [2.8618e-05], [2.8245e-05], [2.8555e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001885252192886056], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928859918, 0.44345, [0.00018577], [0.00019176], [0.00018654], [0.00019079], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.254158431510759e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928860137, 0.44786, [4.194e-05], [4.3131e-05], [4.2003e-05], [4.3078e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003303958388466028], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928860354, 0.42865, [0.00032919], [0.00033584], [0.00032968], [0.00033251], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928855047, 0.05887], "benchmarks.TextSuite.time_render": [[4.739229232535885e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928860567, 0.44225, [4.6743e-06], [4.8503e-06], [4.6821e-06], [4.7958e-06], [2323], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.498502347720205e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928860790, 0.44589, [8.4331e-05], [8.5831e-05], [8.4775e-05], [8.5298e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.433012977602163e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928861012, 0.44415, [3.41e-05], [3.4515e-05], [3.4156e-05], [3.4444e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028185135129574885], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928861231, 0.43494, [0.00027825], [0.00028467], [0.00027917], [0.00028441], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011610370565904304], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928861446, 0.43957, [0.0011431], [0.0011705], [0.0011456], [0.0011688], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015498154992071378], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928861673, 0.44193, [0.0015472], [0.0015531], [0.0015492], [0.0015514], [7], [10]]}, "durations": {"": 2.083641767501831}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/972dedff-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/972dedff-virtualenv-py3.10.json new file mode 100644 index 0000000000..ce18b94a9f --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/972dedff-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "972dedff546a60642db36831dbb8aaab19077a2c", "env_name": "virtualenv-py3.10", "date": 1644350984000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6966378869754063e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928495086, 0.46992, [1.6874e-07], [1.7064e-07], [1.6945e-07], [1.7023e-07], [64687], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7017139318109407e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928495321, 0.45793, [1.6932e-07], [1.7182e-07], [1.6983e-07], [1.703e-07], [64740], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7002950434441852e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928495556, 0.46019, [1.6913e-07], [1.7472e-07], [1.6977e-07], [1.7424e-07], [64312], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7467250773761525e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928495790, 0.45191, [1.7185e-07], [1.7663e-07], [1.7369e-07], [1.7497e-07], [60206], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7190822590057033e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928496014, 0.46004, [1.6948e-07], [1.7801e-07], [1.7119e-07], [1.7264e-07], [64735], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7009651108030483e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928496250, 0.4653, [1.6952e-07], [1.7196e-07], [1.6986e-07], [1.707e-07], [64319], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011247847222774806], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928496482, 0.44639, [0.001112], [0.0011365], [0.0011158], [0.0011325], [9], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015590207850826637], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928496704, 0.4506, [0.0015551], [0.0015745], [0.0015573], [0.0015604], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014094245016167406], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928496927, 0.45541, [0.0014043], [0.0014183], [0.0014068], [0.0014121], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.15377114080549e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928497155, 0.46082, [1.1383e-07], [1.1643e-07], [1.1402e-07], [1.1641e-07], [96374], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1530580833173779e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928497380, 0.4676, [1.1424e-07], [1.1631e-07], [1.1452e-07], [1.1606e-07], [95519], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1414555468820137e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928497613, 0.43722, [1.1394e-07], [1.1443e-07], [1.1403e-07], [1.1429e-07], [87802], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [[0.00856696874689078], [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928497832, 0.52107, [0.0085105], [0.0085887], [0.0085325], [0.0085761], [2], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [[0.008623926994914655], [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928498093, 0.52342, [0.0084933], [0.008741], [0.0085369], [0.0087188], [2], [10]], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [[0.0085112914966885], [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928498357, 0.52026, [0.0084441], [0.0085937], [0.0084911], [0.0085498], [2], [10]], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0018723436684619323], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928498617, 0.46144, [0.0018687], [0.0018865], [0.0018704], [0.0018784], [6], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001163543945747531], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928498844, 0.45098, [0.0011545], [0.0011705], [0.0011583], [0.0011655], [9], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003731056432505804], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928499071, 0.45304, [0.00036918], [0.0003779], [0.00036939], [0.00037736], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003431505324589389], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928499294, 0.45801, [0.00033954], [0.00035455], [0.00034024], [0.00034843], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5219379093086475e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928499521, 0.48708, [2.5129e-05], [2.5432e-05], [2.5169e-05], [2.5248e-05], [430], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001847848450716842], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928499751, 0.45863, [0.00018368], [0.00018612], [0.00018468], [0.00018542], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.354522359317047e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928499980, 0.45059, [4.3406e-05], [4.3589e-05], [4.3499e-05], [4.3567e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003285789090582649], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928500208, 0.46249, [0.00032374], [0.00033239], [0.00032437], [0.00033095], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00036147917201341095], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928500440, 0.45334, [0.00035645], [0.00036522], [0.0003572], [0.00036511], [29], [10]], "benchmarks.TextSuite.time_render": [[4.6709620594807475e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928500664, 0.45489, [4.6603e-06], [4.6945e-06], [4.6672e-06], [4.6786e-06], [2333], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.508430858000793e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928500895, 0.46037, [8.4182e-05], [8.555e-05], [8.4551e-05], [8.528e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.515611525153282e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928501126, 0.45158, [3.5113e-05], [3.5189e-05], [3.5147e-05], [3.5168e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002742062053398397], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928501356, 0.45824, [0.00027279], [0.00027536], [0.00027397], [0.00027449], [39], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001361679685942363], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928501585, 0.45899, [0.0013561], [0.0013646], [0.0013591], [0.0013633], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014518333607286746], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928501817, 0.44956, [0.0014478], [0.0014776], [0.0014492], [0.0014702], [7], [10]]}, "durations": {"": 1.9903857707977295}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/99831099-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/99831099-virtualenv-py3.10.json new file mode 100644 index 0000000000..fe9ca7d510 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/99831099-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "99831099bddeb1fc133dc17deb3743f0a6eeeabd", "env_name": "virtualenv-py3.10", "date": 1638115235000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6982679175346359e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929411358, 0.4647, [1.6906e-07], [1.7112e-07], [1.6956e-07], [1.7051e-07], [64561], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.706459781564628e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929411589, 0.46668, [1.6944e-07], [1.7227e-07], [1.6994e-07], [1.7091e-07], [64359], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7064087511396272e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929411824, 0.44285, [1.6919e-07], [1.7259e-07], [1.703e-07], [1.7147e-07], [58843], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7012664847376487e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929412045, 0.46681, [1.6876e-07], [1.7083e-07], [1.6977e-07], [1.7042e-07], [64367], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7029855906558936e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929412279, 0.44022, [1.687e-07], [1.7099e-07], [1.6991e-07], [1.706e-07], [59129], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7017031937624742e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929412500, 0.44931, [1.683e-07], [1.7164e-07], [1.6926e-07], [1.7109e-07], [61097], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011088145998655818], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929412725, 0.45704, [0.0011029], [0.001145], [0.0011059], [0.0011133], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015167499285390867], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929412951, 0.45188, [0.0015075], [0.0015242], [0.0015143], [0.0015202], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013967474369565025], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929413181, 0.45271, [0.0013941], [0.0014128], [0.0013961], [0.0013988], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1438807979086921e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929413407, 0.46603, [1.1408e-07], [1.1454e-07], [1.1426e-07], [1.1447e-07], [96350], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1441311339866706e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929413641, 0.45787, [1.1415e-07], [1.1478e-07], [1.1421e-07], [1.1447e-07], [96505], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1426662973699961e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929413875, 0.4625, [1.1388e-07], [1.1447e-07], [1.1409e-07], [1.1438e-07], [95582], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929407766, 0.066034], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929407832, 0.065672], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929407898, 0.070778], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002354537500650622], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929414107, 0.46527, [0.0023322], [0.0023688], [0.0023464], [0.0023621], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001406848936312599], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929414342, 0.45461, [0.0013948], [0.0014186], [0.0014015], [0.0014138], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037511310750103027], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929414571, 0.452, [0.00036923], [0.00038161], [0.0003696], [0.00038101], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00033897580672806547], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929414798, 0.45278, [0.0003382], [0.00034913], [0.00033863], [0.00033953], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5416714819191904e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929415024, 0.45998, [2.5256e-05], [2.5557e-05], [2.5292e-05], [2.5498e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018457614627048568], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929415253, 0.45621, [0.00018413], [0.00018542], [0.00018451], [0.00018495], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.359315854839875e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929415482, 0.45154, [4.341e-05], [4.4443e-05], [4.3421e-05], [4.3797e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003251639671713835], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929415712, 0.44338, [0.00032456], [0.00032633], [0.0003251], [0.00032562], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035597701709524823], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929415931, 0.44762, [0.00035452], [0.00035662], [0.00035576], [0.00035616], [29], [10]], "benchmarks.TextSuite.time_render": [[4.6830586492034534e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929416153, 0.45532, [4.6658e-06], [4.7253e-06], [4.678e-06], [4.6892e-06], [2336], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.519799996251754e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929416385, 0.45802, [8.4782e-05], [8.5324e-05], [8.5154e-05], [8.5293e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.5137730366032985e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929416615, 0.4508, [3.5055e-05], [3.5293e-05], [3.5131e-05], [3.5204e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027435251295652335], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929416846, 0.44989, [0.0002739], [0.00027633], [0.00027395], [0.00027475], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013601067494164454], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929417070, 0.4556, [0.0013565], [0.0013641], [0.0013585], [0.0013618], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.00144711607260563], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929417301, 0.44477, [0.001445], [0.0014551], [0.0014462], [0.0014513], [7], [10]]}, "durations": {"": 1.9822556972503662}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/9a4fbf83-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/9a4fbf83-virtualenv-py3.10.json new file mode 100644 index 0000000000..568bd0a564 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/9a4fbf83-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "9a4fbf83c5051eaf94a88996292c438c895306d5", "env_name": "virtualenv-py3.10", "date": 1595437545000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7386930548873132e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928739952, 0.45265, [1.7111e-07], [1.7619e-07], [1.7318e-07], [1.7463e-07], [63637], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7230044321104053e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928740177, 0.44588, [1.6995e-07], [1.7494e-07], [1.7036e-07], [1.7383e-07], [62521], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.72545012648743e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928740397, 0.44363, [1.695e-07], [1.759e-07], [1.7023e-07], [1.7427e-07], [62227], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7037679203746364e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928740615, 0.44989, [1.6957e-07], [1.7424e-07], [1.6983e-07], [1.7327e-07], [64452], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.737208866830249e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928740839, 0.43956, [1.6957e-07], [1.7818e-07], [1.7001e-07], [1.7405e-07], [64524], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7139659365246047e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928741057, 0.45054, [1.6827e-07], [1.7392e-07], [1.6965e-07], [1.7337e-07], [64972], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0021915999008342625], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928741282, 0.43506, [0.0021855], [0.0022052], [0.0021888], [0.0021949], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928735895, 0.062236], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928735957, 0.06095], "benchmarks.StyleSuite.time_parse_ansi": [[1.1658293135745944e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928741497, 0.42647, [1.1614e-07], [1.1683e-07], [1.1638e-07], [1.1675e-07], [87476], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1498905654465906e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928741709, 0.43337, [1.1385e-07], [1.1637e-07], [1.1408e-07], [1.1618e-07], [87677], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.145625050099677e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928741928, 0.44186, [1.14e-07], [1.1499e-07], [1.1421e-07], [1.1496e-07], [96016], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928736665, 0.060719], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928736726, 0.058912], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928736785, 0.058785], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.00213501249672845], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928742152, 0.44067, [0.0020952], [0.0021407], [0.0021285], [0.0021365], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001505148786236532], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928742376, 0.43714, [0.0014974], [0.0015108], [0.0015001], [0.0015081], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.000671309699343207], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928742598, 0.43843, [0.00065785], [0.0006777], [0.00066951], [0.00067533], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005592442232429878], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928742818, 0.42836, [0.0005557], [0.00056451], [0.00055711], [0.00056129], [18], [10]], "benchmarks.TextSuite.time_divide": [[2.8101753942839998e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928743030, 0.43291, [2.7832e-05], [2.8438e-05], [2.7841e-05], [2.839e-05], [380], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018889364033831252], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928743250, 0.44454, [0.00018637], [0.0001921], [0.00018701], [0.0001909], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2501335963606834e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928743471, 0.43217, [4.2014e-05], [4.3025e-05], [4.2117e-05], [4.295e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003339798549272781], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928743690, 0.43164, [0.0003302], [0.00033798], [0.00033052], [0.00033699], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928738581, 0.059351], "benchmarks.TextSuite.time_render": [[4.728479212368737e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928743904, 0.43175, [4.6732e-06], [4.7967e-06], [4.6806e-06], [4.7775e-06], [2333], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.626853532476834e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928744120, 0.44458, [8.5439e-05], [8.705e-05], [8.5642e-05], [8.6704e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.386980897866033e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928744345, 0.4354, [3.3638e-05], [3.3934e-05], [3.3678e-05], [3.391e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002787044052368131], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928744562, 0.42997, [0.00027754], [0.00027963], [0.0002786], [0.00027892], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001163493056083098], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928744776, 0.4368, [0.0011444], [0.0011821], [0.0011587], [0.0011653], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001542642856033386], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928744993, 0.44139, [0.0015144], [0.0015682], [0.0015177], [0.0015639], [7], [10]]}, "durations": {"": 2.0578808784484863}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/9abc0292-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/9abc0292-virtualenv-py3.10.json new file mode 100644 index 0000000000..a68ea29c55 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/9abc0292-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "9abc0292c1f96433e4f87b10d5dea0d617b0ab23", "env_name": "virtualenv-py3.10", "date": 1597074281000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7436755900738068e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928830015, 0.43858, [1.7219e-07], [1.9119e-07], [1.7358e-07], [1.8241e-07], [58543], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7281580510216833e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928830235, 0.45154, [1.7127e-07], [1.76e-07], [1.7158e-07], [1.7382e-07], [62214], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7408680274644608e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928830455, 0.43516, [1.7292e-07], [1.8035e-07], [1.7353e-07], [1.7709e-07], [59854], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7334309856629754e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928830671, 0.45819, [1.7233e-07], [1.7734e-07], [1.7275e-07], [1.7519e-07], [63301], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.726152067704983e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928830903, 0.45786, [1.6992e-07], [1.7717e-07], [1.7109e-07], [1.7322e-07], [63629], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7279195024118287e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928831134, 0.43673, [1.697e-07], [1.7473e-07], [1.7052e-07], [1.7368e-07], [64946], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0013254479381430428], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928831351, 0.4335, [0.0013162], [0.0013434], [0.0013177], [0.0013398], [8], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928825940, 0.058209], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928825998, 0.057693], "benchmarks.StyleSuite.time_parse_ansi": [[1.1619074018194943e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928831567, 0.45128, [1.146e-07], [1.1696e-07], [1.16e-07], [1.1642e-07], [95735], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1617918764174161e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928831793, 0.4337, [1.147e-07], [1.1718e-07], [1.1571e-07], [1.1632e-07], [96226], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1625632190902994e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928832012, 0.4454, [1.1471e-07], [1.1751e-07], [1.1619e-07], [1.1638e-07], [96646], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928826725, 0.058334], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928826784, 0.057861], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928826842, 0.057589], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023085165972588583], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928832229, 0.44221, [0.0023022], [0.002314], [0.0023044], [0.002309], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014938482158218644], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928832452, 0.43078, [0.0014653], [0.0015017], [0.0014732], [0.0014962], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006769309684386826], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928832670, 0.44257, [0.00067313], [0.00069285], [0.00067405], [0.00068539], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.000564776638283446], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928832897, 0.43519, [0.00055025], [0.00057366], [0.00056426], [0.00056881], [18], [10]], "benchmarks.TextSuite.time_divide": [[2.8389237465098558e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928833117, 0.44553, [2.8336e-05], [2.841e-05], [2.8386e-05], [2.8393e-05], [379], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00019049086825505488], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928833338, 0.44401, [0.00018818], [0.00019159], [0.00018865], [0.00019092], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.248857458737949e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928833559, 0.43865, [4.1986e-05], [4.3156e-05], [4.2111e-05], [4.3017e-05], [248], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033843211290772045], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928833779, 0.43836, [0.00033167], [0.00035884], [0.00033615], [0.00033982], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928828651, 0.063001], "benchmarks.TextSuite.time_render": [[4.777508618050992e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928833997, 0.4336, [4.7379e-06], [4.8187e-06], [4.751e-06], [4.8037e-06], [2322], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.65903406018584e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928834215, 0.42096, [8.5511e-05], [8.7115e-05], [8.6415e-05], [8.6664e-05], [116], [10]], "benchmarks.TextSuite.time_split": [[3.43698573907694e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928834428, 0.44215, [3.4307e-05], [3.4539e-05], [3.432e-05], [3.4417e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002845039463765617], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928834648, 0.43493, [0.00028015], [0.00029144], [0.00028329], [0.00028692], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011678935002742542], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928834866, 0.43851, [0.001162], [0.0011697], [0.0011639], [0.0011683], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015627648577459954], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928835084, 0.42995, [0.0015509], [0.0015655], [0.0015528], [0.0015645], [7], [10]]}, "durations": {"": 2.013007164001465}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/9f2a426e-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/9f2a426e-virtualenv-py3.10.json new file mode 100644 index 0000000000..b50271a036 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/9f2a426e-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "9f2a426ea7b27e9ef41bb08bff7b0481d4755aa6", "env_name": "virtualenv-py3.10", "date": 1603122075000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7051829723035e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928975704, 0.45428, [1.693e-07], [1.7101e-07], [1.6986e-07], [1.7082e-07], [64518], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7051761587887072e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928975930, 0.46355, [1.6948e-07], [1.7215e-07], [1.6979e-07], [1.7076e-07], [65168], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.709415406481479e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928976171, 0.45347, [1.7005e-07], [1.7176e-07], [1.7036e-07], [1.7125e-07], [64344], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7059708729575333e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928976397, 0.45258, [1.6983e-07], [1.7114e-07], [1.6995e-07], [1.7092e-07], [64550], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.703384136445452e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928976624, 0.45418, [1.6833e-07], [1.7615e-07], [1.7024e-07], [1.7078e-07], [64235], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7177979153814433e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928976850, 0.45908, [1.7044e-07], [1.7848e-07], [1.7136e-07], [1.7486e-07], [64112], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010149916502996347], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928977080, 0.43868, [0.0010119], [0.0010181], [0.0010128], [0.0010166], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928971420, 0.060655], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014040807491255691], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928977300, 0.44256, [0.0013988], [0.0014065], [0.0014005], [0.0014055], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1532585875856004e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928977521, 0.45513, [1.1431e-07], [1.158e-07], [1.1448e-07], [1.1559e-07], [96195], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1603592188811979e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928977749, 0.45409, [1.1362e-07], [1.167e-07], [1.1585e-07], [1.1627e-07], [96473], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1415330291053145e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928977978, 0.45153, [1.1392e-07], [1.1481e-07], [1.141e-07], [1.1423e-07], [96554], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928972379, 0.060603], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928972440, 0.060561], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928972501, 0.060786], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002737713624810567], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928978205, 0.43842, [0.0027315], [0.0027451], [0.0027353], [0.0027411], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0018642640012937286], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928978422, 0.45057, [0.0018511], [0.0018769], [0.0018549], [0.0018688], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006623398439842276], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928978646, 0.43926, [0.00065982], [0.00067771], [0.00066149], [0.00066308], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005538772108449944], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928978870, 0.43759, [0.0005478], [0.00055745], [0.00055289], [0.00055427], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.804970606462419e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928979094, 0.44976, [2.7928e-05], [2.8551e-05], [2.7933e-05], [2.8397e-05], [381], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018746636857956713], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928979321, 0.44782, [0.0001871], [0.00018883], [0.00018734], [0.00018771], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2384543824399195e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928979547, 0.44542, [4.2257e-05], [4.2464e-05], [4.237e-05], [4.2415e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003300188062337017], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928979769, 0.43135, [0.00032851], [0.00033092], [0.00032977], [0.00033058], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928974326, 0.060808], "benchmarks.TextSuite.time_render": [[4.699827059279202e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928979983, 0.43533, [4.6639e-06], [4.7512e-06], [4.6833e-06], [4.7404e-06], [2339], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.536799998637434e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928980202, 0.44936, [8.4795e-05], [8.5609e-05], [8.507e-05], [8.5445e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.391292790556923e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928980429, 0.44202, [3.3827e-05], [3.41e-05], [3.3843e-05], [3.4002e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028034289189727624], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928980649, 0.43415, [0.00027901], [0.00028106], [0.00027971], [0.00028047], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011459815011928892], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928980866, 0.43887, [0.001144], [0.001169], [0.001145], [0.0011484], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015235238575509618], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928981084, 0.43962, [0.0015199], [0.0015304], [0.001521], [0.0015274], [7], [10]]}, "durations": {"": 1.9609119892120361}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/a27a3ee2-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/a27a3ee2-virtualenv-py3.10.json new file mode 100644 index 0000000000..6cbcf721ad --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/a27a3ee2-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "a27a3ee20bff6c6aa0642f31fb736e72d16abbce", "env_name": "virtualenv-py3.10", "date": 1600101858000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7042800680936237e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928909229, 0.42891, [1.6948e-07], [1.7485e-07], [1.7001e-07], [1.7153e-07], [64527], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7180735607927396e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928909443, 0.43918, [1.6933e-07], [1.7368e-07], [1.7038e-07], [1.7321e-07], [64518], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.717659715346583e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928909659, 0.42738, [1.6846e-07], [1.734e-07], [1.6999e-07], [1.7322e-07], [64490], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.737773394621508e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928909873, 0.43312, [1.7368e-07], [1.741e-07], [1.7373e-07], [1.7393e-07], [64504], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7345675113671666e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928910088, 0.42318, [1.724e-07], [1.7388e-07], [1.7312e-07], [1.7368e-07], [58799], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7281638282229994e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928910299, 0.42297, [1.715e-07], [1.736e-07], [1.7232e-07], [1.734e-07], [59044], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011325370562392184], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928910509, 0.42988, [0.0011302], [0.0011429], [0.0011322], [0.0011335], [9], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928905022, 0.057851], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0015301667133046848], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928910722, 0.43497, [0.0015273], [0.0015373], [0.0015285], [0.0015313], [7], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1514082085278366e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928910943, 0.43922, [1.1388e-07], [1.1636e-07], [1.1418e-07], [1.1629e-07], [96321], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.148777592758897e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928911167, 0.44638, [1.144e-07], [1.1545e-07], [1.1446e-07], [1.1538e-07], [95312], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1430559190946105e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928911391, 0.44827, [1.1411e-07], [1.1458e-07], [1.1427e-07], [1.1436e-07], [96462], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928905957, 0.057415], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928906014, 0.057183], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928906072, 0.057108], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0030256926220317837], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928911616, 0.45324, [0.0030176], [0.0030308], [0.0030228], [0.0030281], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001963548582959144], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928911846, 0.44673, [0.0019601], [0.0020088], [0.0019621], [0.0019669], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006744960937794531], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928912074, 0.43447, [0.00067075], [0.00067785], [0.00067261], [0.0006755], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005577971314778551], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928912294, 0.43981, [0.00055435], [0.00056808], [0.00055484], [0.00055944], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.844203366817173e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928912514, 0.43454, [2.8263e-05], [2.8525e-05], [2.8334e-05], [2.8503e-05], [386], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00019038999105983398], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928912736, 0.44125, [0.00018992], [0.00019128], [0.00019023], [0.0001911], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.279382467275463e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928912956, 0.43349, [4.2366e-05], [4.3206e-05], [4.2775e-05], [4.2928e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033351546763667775], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928913178, 0.42827, [0.00033053], [0.00033667], [0.0003312], [0.0003356], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928907867, 0.057792], "benchmarks.TextSuite.time_render": [[4.679437361052641e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928913392, 0.43419, [4.66e-06], [4.7068e-06], [4.6688e-06], [4.7015e-06], [2323], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.515022648225568e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928913612, 0.44249, [8.4387e-05], [8.599e-05], [8.5056e-05], [8.5285e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.3680288489006504e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928913834, 0.4347, [3.3615e-05], [3.4087e-05], [3.3652e-05], [3.3837e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002821311893451304], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928914050, 0.43042, [0.00027872], [0.00028469], [0.00027904], [0.00028425], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011427662215687127], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928914265, 0.43025, [0.0011399], [0.0011449], [0.0011416], [0.0011444], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015367023567835402], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928914478, 0.43563, [0.0015217], [0.0015512], [0.0015235], [0.0015504], [7], [10]]}, "durations": {"": 1.9690570831298828}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/a6d1d784-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/a6d1d784-virtualenv-py3.10.json new file mode 100644 index 0000000000..774c3c94f3 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/a6d1d784-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "a6d1d784879fe939cd9c262d9b2f25a673ce88c9", "env_name": "virtualenv-py3.10", "date": 1638115443000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.693641204731282e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929367764, 0.46266, [1.6873e-07], [1.7074e-07], [1.69e-07], [1.6981e-07], [64513], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7028117153496322e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929367995, 0.45723, [1.6951e-07], [1.7192e-07], [1.6977e-07], [1.7154e-07], [64843], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7094650969542762e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929368229, 0.46035, [1.6947e-07], [1.7956e-07], [1.7021e-07], [1.7948e-07], [64021], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.702568146514439e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929368461, 0.44046, [1.6985e-07], [1.7068e-07], [1.7013e-07], [1.7055e-07], [59358], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.702479761820018e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929368681, 0.46671, [1.6968e-07], [1.7882e-07], [1.6997e-07], [1.7147e-07], [64234], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6955152081863054e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929368913, 0.46156, [1.6816e-07], [1.7047e-07], [1.6899e-07], [1.6997e-07], [65168], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001111442111626578], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929369147, 0.44229, [0.0011071], [0.0011155], [0.0011092], [0.0011131], [9], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015210982861130365], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929369368, 0.45264, [0.0015103], [0.0015274], [0.0015192], [0.0015228], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014059401237318525], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929369598, 0.4546, [0.0014008], [0.0014107], [0.0014018], [0.001407], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.152333821686819e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929369823, 0.44698, [1.1407e-07], [1.1656e-07], [1.1484e-07], [1.1631e-07], [86564], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1524275221005641e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929370052, 0.44112, [1.1338e-07], [1.1696e-07], [1.1372e-07], [1.1677e-07], [85855], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1440585883210438e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929370275, 0.46163, [1.1379e-07], [1.1472e-07], [1.1427e-07], [1.1459e-07], [95086], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929364174, 0.068449], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929364243, 0.066985], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929364310, 0.066614], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023555874009616676], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929370506, 0.46066, [0.0023453], [0.0023707], [0.0023519], [0.00236], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001407257812388707], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929370741, 0.45093, [0.0014003], [0.0014115], [0.0014025], [0.0014098], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00038124766703091426], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929370968, 0.45235, [0.00036827], [0.00038583], [0.00036968], [0.0003839], [27], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003428434030220453], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929371195, 0.45595, [0.00033961], [0.00035342], [0.00034035], [0.00035196], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.545662413365415e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929371422, 0.46099, [2.5421e-05], [2.5591e-05], [2.5437e-05], [2.5505e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018464798280359087], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929371653, 0.4549, [0.00018372], [0.00018503], [0.00018448], [0.00018482], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.341412396917907e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929371880, 0.44664, [4.3359e-05], [4.36e-05], [4.3363e-05], [4.3447e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003247979850240165], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929372107, 0.45621, [0.00032323], [0.00032554], [0.00032421], [0.00032509], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003560538617452478], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929372333, 0.4457, [0.00035422], [0.00035843], [0.00035561], [0.00035645], [29], [10]], "benchmarks.TextSuite.time_render": [[4.68243460391974e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929372555, 0.45353, [4.6678e-06], [4.708e-06], [4.6728e-06], [4.6874e-06], [2332], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.542684113061735e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929372785, 0.46289, [8.4381e-05], [9.2768e-05], [8.4666e-05], [8.5745e-05], [129], [10]], "benchmarks.TextSuite.time_split": [[3.5212895430828403e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929373019, 0.45, [3.5156e-05], [3.5402e-05], [3.5192e-05], [3.5231e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002742187502199637], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929373248, 0.44813, [0.00027246], [0.00027636], [0.00027312], [0.00027488], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.00135714318639657], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929373471, 0.45506, [0.0013541], [0.0013627], [0.0013552], [0.0013592], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014486667142981397], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929373701, 0.44424, [0.0014465], [0.0014527], [0.001448], [0.0014514], [7], [10]]}, "durations": {"": 2.0430939197540283}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/a81230bc-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/a81230bc-virtualenv-py3.10.json new file mode 100644 index 0000000000..7be9e6e7b3 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/a81230bc-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "a81230bcff8e66a6e16522a0ab9186416d615f09", "env_name": "virtualenv-py3.10", "date": 1621440919000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7089820134849163e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928347340, 0.45862, [1.7e-07], [1.7457e-07], [1.7038e-07], [1.7177e-07], [64166], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7021133058504719e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928347569, 0.44902, [1.696e-07], [1.7089e-07], [1.6974e-07], [1.706e-07], [64851], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7093464614946301e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928347799, 0.43832, [1.6961e-07], [1.7247e-07], [1.7055e-07], [1.7112e-07], [60333], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.708929539256602e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928348018, 0.45747, [1.6953e-07], [1.7288e-07], [1.7004e-07], [1.7116e-07], [64374], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7095533240400798e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928348248, 0.45705, [1.6957e-07], [1.7225e-07], [1.7007e-07], [1.7169e-07], [64006], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7013976745683384e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928348476, 0.45399, [1.7002e-07], [1.7076e-07], [1.701e-07], [1.7062e-07], [63806], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010306896001566201], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928348703, 0.44456, [0.0010285], [0.0010362], [0.0010301], [0.0010322], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001427216124284314], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928348925, 0.45429, [0.0014229], [0.0014321], [0.0014246], [0.0014298], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014342976418057723], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928349151, 0.43711, [0.0014271], [0.0014412], [0.0014308], [0.0014379], [7], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1472595696275204e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928349368, 0.45598, [1.1421e-07], [1.1517e-07], [1.1438e-07], [1.1482e-07], [95828], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1479176945339659e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928349597, 0.45676, [1.1441e-07], [1.1687e-07], [1.1472e-07], [1.1508e-07], [95752], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.146414121082228e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928349826, 0.45598, [1.1409e-07], [1.1498e-07], [1.1449e-07], [1.1481e-07], [95593], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928343833, 0.063079], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928343896, 0.062244], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928343958, 0.062379], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002125933303614147], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928350055, 0.44442, [0.0021152], [0.0021442], [0.002121], [0.0021357], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001284916625081678], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928350280, 0.44527, [0.0012786], [0.0012955], [0.0012825], [0.00129], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006593489679289632], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928350502, 0.43857, [0.0006576], [0.00066139], [0.00065902], [0.00065983], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005478475795825943], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928350724, 0.44481, [0.00054467], [0.00055428], [0.00054712], [0.00054821], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5265698322256757e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928350945, 0.45124, [2.5191e-05], [2.537e-05], [2.5224e-05], [2.5303e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018454670674239833], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928351169, 0.44915, [0.00018408], [0.00018504], [0.0001844], [0.00018485], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3587735771273485e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928351394, 0.44117, [4.3434e-05], [4.3712e-05], [4.3511e-05], [4.3678e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032423104593445635], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928351617, 0.45005, [0.00032311], [0.00032504], [0.00032386], [0.00032476], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035670832760937123], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928351841, 0.43927, [0.00035589], [0.00035784], [0.00035626], [0.00035733], [29], [10]], "benchmarks.TextSuite.time_render": [[4.675652580225816e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928352059, 0.44572, [4.6561e-06], [4.7094e-06], [4.6589e-06], [4.6924e-06], [2330], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.618554682016111e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928352285, 0.45317, [8.456e-05], [8.6489e-05], [8.6002e-05], [8.6316e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5144470565879314e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928352514, 0.44139, [3.5063e-05], [3.5388e-05], [3.5078e-05], [3.5229e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027454221019165983], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928352738, 0.44116, [0.00027362], [0.00027615], [0.00027384], [0.00027542], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010963437511236408], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928352959, 0.43727, [0.0010932], [0.0010995], [0.0010945], [0.0010984], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014880772858824848], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928353177, 0.4356, [0.0014842], [0.001494], [0.0014856], [0.0014912], [7], [10]]}, "durations": {"": 1.9775969982147217}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/aaea99f7-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/aaea99f7-virtualenv-py3.10.json new file mode 100644 index 0000000000..f14bca4dbb --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/aaea99f7-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "aaea99f764bcd48a12fd09e5b53efd2bafd9281d", "env_name": "virtualenv-py3.10", "date": 1613822412000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7035946231118903e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929032498, 0.45811, [1.6948e-07], [1.7147e-07], [1.701e-07], [1.7055e-07], [64698], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7005740944381448e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929032727, 0.45645, [1.6892e-07], [1.712e-07], [1.6964e-07], [1.7091e-07], [64397], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.6961856813956265e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929032955, 0.45848, [1.6895e-07], [1.7124e-07], [1.6924e-07], [1.702e-07], [64697], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7039711889193895e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929033184, 0.45721, [1.6908e-07], [1.707e-07], [1.6999e-07], [1.7052e-07], [64419], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.710571628402691e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929033413, 0.45837, [1.6945e-07], [1.7495e-07], [1.7003e-07], [1.7149e-07], [64054], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.708411568939796e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929033640, 0.43101, [1.7029e-07], [1.7254e-07], [1.7071e-07], [1.7122e-07], [59074], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010266583500197156], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929033856, 0.44167, [0.0010232], [0.0010299], [0.0010262], [0.0010291], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014252031251089647], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929034075, 0.4615, [0.0014176], [0.0014349], [0.0014196], [0.0014259], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014211224388418486], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929034299, 0.44766, [0.0014098], [0.0014256], [0.0014148], [0.0014221], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.138836964717925e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929034524, 0.45651, [1.1352e-07], [1.1451e-07], [1.1381e-07], [1.1396e-07], [96360], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1403014810501425e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929034753, 0.45591, [1.1371e-07], [1.1484e-07], [1.1378e-07], [1.142e-07], [96374], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1407160758650121e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929034982, 0.45675, [1.1373e-07], [1.147e-07], [1.1401e-07], [1.1419e-07], [96589], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929028981, 0.061856], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929029043, 0.061734], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929029105, 0.061513], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0032523646259505767], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929035211, 0.46727, [0.0032449], [0.0032725], [0.0032476], [0.0032594], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.002136987398262136], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929035447, 0.43601, [0.0021279], [0.0021504], [0.002132], [0.0021421], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006721614681737265], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929035663, 0.4419, [0.00065748], [0.00068076], [0.00065921], [0.00067391], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005539429992878516], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929035889, 0.44698, [0.00054715], [0.00055713], [0.0005492], [0.0005551], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5422931233603327e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929036111, 0.44501, [2.5357e-05], [2.575e-05], [2.5395e-05], [2.5453e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001846386467463915], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929036338, 0.45035, [0.00018376], [0.00018493], [0.00018456], [0.00018488], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3481876030166796e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929036562, 0.43963, [4.3443e-05], [4.3648e-05], [4.346e-05], [4.3548e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.000324092166424221], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929036786, 0.44884, [0.0003231], [0.00032853], [0.00032364], [0.00032525], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003891874819398961], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929037009, 0.44444, [0.00038819], [0.0003903], [0.00038851], [0.00038941], [27], [10]], "benchmarks.TextSuite.time_render": [[4.667558423783678e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929037230, 0.44597, [4.6504e-06], [4.6887e-06], [4.6572e-06], [4.6793e-06], [2336], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.518782431110594e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929037456, 0.45257, [8.4762e-05], [8.5916e-05], [8.5165e-05], [8.5228e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5262270256030014e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929037683, 0.44676, [3.5062e-05], [3.5386e-05], [3.5127e-05], [3.5343e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002739638025798884], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929037911, 0.44074, [0.00027237], [0.00027468], [0.0002733], [0.00027416], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001097691699396819], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929038130, 0.44915, [0.0010951], [0.0011009], [0.0010968], [0.0010992], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014937857132671134], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929038358, 0.43867, [0.0014845], [0.0015002], [0.0014882], [0.0014994], [7], [10]]}, "durations": {"": 1.9741952419281006}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/ac1a33da-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/ac1a33da-virtualenv-py3.10.json new file mode 100644 index 0000000000..6a34ddbf04 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/ac1a33da-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "ac1a33da175972f895e894121df609d0cb1448fe", "env_name": "virtualenv-py3.10", "date": 1636301366000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7055549280694258e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928202672, 0.4663, [1.7013e-07], [1.7073e-07], [1.7032e-07], [1.7064e-07], [64576], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7031432603515683e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928202904, 0.45468, [1.6951e-07], [1.7082e-07], [1.6996e-07], [1.7049e-07], [64659], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7019480119984683e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928203138, 0.45417, [1.6919e-07], [1.7198e-07], [1.6968e-07], [1.7063e-07], [64399], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7046419165111376e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928203370, 0.46493, [1.6904e-07], [1.7262e-07], [1.6947e-07], [1.7156e-07], [64203], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6996182278878235e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928203602, 0.4653, [1.6973e-07], [1.7054e-07], [1.6985e-07], [1.7013e-07], [64476], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7035111172927143e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928203835, 0.46646, [1.6925e-07], [1.7059e-07], [1.7011e-07], [1.7038e-07], [64545], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010278916495735759], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928204069, 0.45261, [0.0010256], [0.0010317], [0.0010275], [0.0010283], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014257812490541255], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928204294, 0.4625, [0.0014199], [0.0014303], [0.0014227], [0.0014282], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013062031248409767], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928204524, 0.44475, [0.0012951], [0.0013184], [0.0013016], [0.001311], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.140761227710675e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928204750, 0.4639, [1.1362e-07], [1.1469e-07], [1.1396e-07], [1.1454e-07], [96423], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1431385233683782e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928204982, 0.46453, [1.137e-07], [1.155e-07], [1.1399e-07], [1.1478e-07], [96367], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1405374051054004e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928205215, 0.43433, [1.1363e-07], [1.1545e-07], [1.1393e-07], [1.1418e-07], [87764], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928199111, 0.066393], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928199178, 0.065317], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928199243, 0.065764], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021228875033557416], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928205432, 0.45023, [0.0021096], [0.0021335], [0.0021166], [0.0021325], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012783515630871989], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928205660, 0.44969, [0.0012736], [0.0012911], [0.0012762], [0.0012803], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037327826794353314], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928205884, 0.44954, [0.00036982], [0.00037671], [0.00037034], [0.00037575], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003444326503085904], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928206106, 0.44373, [0.00033653], [0.00035535], [0.00033847], [0.00034547], [30], [10]], "benchmarks.TextSuite.time_divide": [[2.525865081146688e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928206325, 0.45105, [2.5184e-05], [2.5635e-05], [2.5192e-05], [2.5311e-05], [431], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018414331887093983], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928206555, 0.4542, [0.0001836], [0.00018511], [0.00018411], [0.00018432], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.462133887249228e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928206782, 0.44513, [4.4237e-05], [4.4688e-05], [4.4356e-05], [4.4651e-05], [239], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032451075845352944], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928207007, 0.43806, [0.00032392], [0.00032553], [0.00032405], [0.00032477], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003554676549011392], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928207225, 0.44502, [0.00035469], [0.00035578], [0.00035515], [0.00035563], [29], [10]], "benchmarks.TextSuite.time_render": [[4.663124727711817e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928207446, 0.45325, [4.652e-06], [4.6689e-06], [4.656e-06], [4.6658e-06], [2341], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.480436326863128e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928207677, 0.45763, [8.4385e-05], [8.5518e-05], [8.449e-05], [8.5311e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.614149831044769e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928207907, 0.44961, [3.6062e-05], [3.6293e-05], [3.612e-05], [3.6185e-05], [298], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002741100384483639], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928208135, 0.45469, [0.00027323], [0.00027512], [0.00027334], [0.00027444], [39], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011020895515684971], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928208362, 0.44548, [0.0011001], [0.0011044], [0.0011011], [0.0011024], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013700364997930592], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928208584, 0.44717, [0.0013585], [0.0013829], [0.0013604], [0.0013801], [8], [10]]}, "durations": {"": 2.0034019947052}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/aca0b60b-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/aca0b60b-virtualenv-py3.10.json new file mode 100644 index 0000000000..2149629b03 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/aca0b60b-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "aca0b60b22fae4c6e16cec7615c2e7c00f73e44d", "env_name": "virtualenv-py3.10", "date": 1610557278000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6979068882969545e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929261153, 0.45869, [1.692e-07], [1.7053e-07], [1.6942e-07], [1.7042e-07], [64600], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7020309905146757e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929261381, 0.45617, [1.6895e-07], [1.7099e-07], [1.6948e-07], [1.7042e-07], [64407], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.705886511498212e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929261609, 0.45585, [1.6981e-07], [1.7164e-07], [1.7036e-07], [1.7076e-07], [63823], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.703659859609806e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929261836, 0.45617, [1.6927e-07], [1.7076e-07], [1.6999e-07], [1.7067e-07], [64691], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.704958673588024e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929262066, 0.45714, [1.6901e-07], [1.7978e-07], [1.6968e-07], [1.7486e-07], [64363], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6980670332693827e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929262293, 0.45681, [1.689e-07], [1.7111e-07], [1.6963e-07], [1.7049e-07], [64463], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010281833514454775], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929262522, 0.44339, [0.0010218], [0.0010329], [0.0010269], [0.0010292], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014339881433573154], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929262742, 0.43562, [0.0014306], [0.0014466], [0.0014326], [0.0014363], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014138098758849083], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929262958, 0.44435, [0.0014093], [0.0014185], [0.0014117], [0.001417], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1401449880373922e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929263181, 0.45645, [1.1387e-07], [1.1445e-07], [1.1392e-07], [1.1421e-07], [95939], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1443270225171499e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929263411, 0.45604, [1.1387e-07], [1.1499e-07], [1.1415e-07], [1.1463e-07], [95568], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1406076018727822e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929263640, 0.45291, [1.1364e-07], [1.1429e-07], [1.139e-07], [1.1415e-07], [95103], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929257617, 0.063062], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929257680, 0.062193], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929257743, 0.062107], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.003231895749195246], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929263867, 0.47303, [0.0032274], [0.0032412], [0.0032312], [0.0032359], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.00212119999632705], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929264102, 0.4479, [0.0021128], [0.0021326], [0.0021166], [0.0021248], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006615611873712623], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929264332, 0.44166, [0.00066031], [0.0006646], [0.00066088], [0.00066344], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.000546990130954471], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929264556, 0.44545, [0.00054453], [0.00055482], [0.00054522], [0.00054746], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8134737607254584e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929264778, 0.45325, [2.7757e-05], [2.8699e-05], [2.7795e-05], [2.8536e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018772002633277065], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929265006, 0.44781, [0.0001871], [0.00018804], [0.00018724], [0.00018801], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.241892768268335e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929265229, 0.44642, [4.2121e-05], [4.2643e-05], [4.2294e-05], [4.256e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033005645109956424], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929265451, 0.43617, [0.00032916], [0.00033341], [0.00032984], [0.00033081], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003927091350375961], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929265668, 0.4359, [0.00039106], [0.00040295], [0.00039214], [0.00039385], [26], [10]], "benchmarks.TextSuite.time_render": [[4.700245483344387e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929265885, 0.44808, [4.6844e-06], [4.7747e-06], [4.6901e-06], [4.707e-06], [2326], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.508284383879072e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929266114, 0.45134, [8.4051e-05], [8.5437e-05], [8.4758e-05], [8.5298e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.381015594758189e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929266341, 0.44531, [3.3708e-05], [3.3933e-05], [3.3794e-05], [3.39e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002796486349669411], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929266563, 0.43816, [0.00027817], [0.00028029], [0.00027899], [0.00028003], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011550139445009539], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929266781, 0.44439, [0.0011491], [0.0011623], [0.0011497], [0.0011609], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015380804273133564], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929267003, 0.44982, [0.0015263], [0.0016385], [0.0015297], [0.0015829], [7], [10]]}, "durations": {"": 1.9768939018249512}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/ad6e3dea-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/ad6e3dea-virtualenv-py3.10.json new file mode 100644 index 0000000000..e1c80e0ae8 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/ad6e3dea-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "ad6e3dea2dfe549a309ae602164a6dc7540f3c05", "env_name": "virtualenv-py3.10", "date": 1638117333000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7166836254051273e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929353186, 0.46998, [1.7069e-07], [1.7348e-07], [1.7139e-07], [1.7207e-07], [64474], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.707324738468546e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929353422, 0.46564, [1.6994e-07], [1.7235e-07], [1.7037e-07], [1.7184e-07], [64732], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7161118860790375e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929353655, 0.45741, [1.7007e-07], [1.7974e-07], [1.705e-07], [1.7178e-07], [64440], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7128570427507506e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929353880, 0.46379, [1.6983e-07], [1.7205e-07], [1.7045e-07], [1.7161e-07], [64033], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7106433715715202e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929354112, 0.46647, [1.6997e-07], [1.7178e-07], [1.7035e-07], [1.7124e-07], [64916], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7102998742249e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929354346, 0.46544, [1.6975e-07], [1.7176e-07], [1.7055e-07], [1.7154e-07], [64477], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011044375496567227], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929354579, 0.46642, [0.0011009], [0.0011078], [0.0011033], [0.0011057], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001517199428885111], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929354802, 0.45288, [0.0015077], [0.0015347], [0.001514], [0.0015253], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014020651251485106], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929355033, 0.45724, [0.0013925], [0.0014177], [0.0013955], [0.0014041], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1427258234920079e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929355264, 0.46601, [1.1402e-07], [1.1459e-07], [1.142e-07], [1.1434e-07], [96037], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1419825515356431e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929355496, 0.46227, [1.1369e-07], [1.1468e-07], [1.14e-07], [1.1441e-07], [96111], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1511939419719757e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929355729, 0.46656, [1.1397e-07], [1.1595e-07], [1.1405e-07], [1.1567e-07], [95838], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929349589, 0.066147], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929349655, 0.065858], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929349721, 0.065511], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023498082999140026], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929355962, 0.4605, [0.002325], [0.0023617], [0.0023403], [0.0023549], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014064557490200968], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929356196, 0.45041, [0.0013961], [0.0014107], [0.0013998], [0.0014099], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037908333927459486], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929356422, 0.45708, [0.00037676], [0.00038228], [0.00037721], [0.0003807], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034137632258446707], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929356651, 0.45521, [0.00034074], [0.00034201], [0.00034102], [0.00034167], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5464340687057997e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929356878, 0.46274, [2.5285e-05], [2.5611e-05], [2.5328e-05], [2.5575e-05], [430], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018554943208227534], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929357110, 0.46631, [0.00018464], [0.00019381], [0.00018482], [0.00018943], [59], [10]], "benchmarks.TextSuite.time_fit": [[4.3584937243892056e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929357345, 0.45508, [4.3453e-05], [4.3719e-05], [4.3483e-05], [4.3643e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003247758938937984], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929357580, 0.45681, [0.00032376], [0.00032589], [0.00032453], [0.00032519], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003560352071935054], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929357807, 0.44608, [0.00035437], [0.00035714], [0.00035504], [0.00035665], [29], [10]], "benchmarks.TextSuite.time_render": [[4.681095323915653e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929358029, 0.45275, [4.6634e-06], [4.7022e-06], [4.6711e-06], [4.6989e-06], [2329], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.607275378835766e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929358259, 0.46141, [8.5438e-05], [8.7824e-05], [8.5806e-05], [8.6341e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.522174513527478e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929358492, 0.4514, [3.502e-05], [3.5961e-05], [3.5081e-05], [3.5341e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002766790543368237], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929358722, 0.44555, [0.00027452], [0.00027891], [0.00027538], [0.00027792], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013801171880913898], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929358943, 0.46369, [0.0013621], [0.0013958], [0.0013763], [0.0013877], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014559939985961784], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929359178, 0.45188, [0.0014476], [0.0015803], [0.0014507], [0.0015258], [7], [10]]}, "durations": {"": 2.005476951599121}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/b391635e-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/b391635e-virtualenv-py3.10.json new file mode 100644 index 0000000000..5f1e9c9b6b --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/b391635e-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "b391635ee4a325fb96ed531b00e4b55f66909639", "env_name": "virtualenv-py3.10", "date": 1599839230000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7171113977231818e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928896057, 0.4208, [1.6891e-07], [1.7364e-07], [1.6974e-07], [1.733e-07], [59058], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7326176896325207e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928896265, 0.44149, [1.7222e-07], [1.7407e-07], [1.724e-07], [1.7361e-07], [64704], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7326500571829757e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928896481, 0.42514, [1.722e-07], [1.742e-07], [1.7323e-07], [1.7336e-07], [58910], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7424341945248364e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928896692, 0.44518, [1.7185e-07], [1.7549e-07], [1.7362e-07], [1.7535e-07], [62645], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7319663555598585e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928896913, 0.45123, [1.7105e-07], [1.7535e-07], [1.7212e-07], [1.7448e-07], [64322], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7316413064189517e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928897137, 0.44729, [1.7235e-07], [1.7447e-07], [1.7284e-07], [1.7398e-07], [62627], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011370277788955718], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928897358, 0.43163, [0.0011311], [0.0011522], [0.0011326], [0.0011388], [9], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928891817, 0.06109], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0015254762152575754], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928897572, 0.43484, [0.0015008], [0.0015435], [0.0015115], [0.0015373], [7], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1690353489742776e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928897793, 0.441, [1.1616e-07], [1.1735e-07], [1.1657e-07], [1.1727e-07], [92790], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1696400284598351e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928898013, 0.44085, [1.1638e-07], [1.1757e-07], [1.1672e-07], [1.1714e-07], [96244], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.164986364381274e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928898229, 0.43071, [1.1623e-07], [1.1716e-07], [1.1631e-07], [1.1664e-07], [96438], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928892754, 0.057563], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928892811, 0.057408], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928892869, 0.057671], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0030024322513781954], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928898445, 0.45038, [0.0029655], [0.0030357], [0.0029746], [0.0030236], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0019979833014076576], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928898674, 0.44609, [0.0019748], [0.0020109], [0.0019847], [0.0020074], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006732166667158404], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928898886, 0.42553, [0.00067161], [0.00067601], [0.00067253], [0.0006743], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005606853159597928], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928899095, 0.42972, [0.0005544], [0.00056468], [0.00055669], [0.00056445], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8459909917633523e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928899314, 0.44467, [2.7853e-05], [3.1088e-05], [2.8005e-05], [2.8508e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00019092872772537368], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928899536, 0.44513, [0.00019008], [0.00019125], [0.00019078], [0.00019102], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2737418028991665e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928899758, 0.44079, [4.2264e-05], [4.3084e-05], [4.2369e-05], [4.3044e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033374933850756214], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928899978, 0.43169, [0.00033055], [0.00033774], [0.00033095], [0.00033693], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928894692, 0.05768], "benchmarks.TextSuite.time_render": [[4.72765888174202e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928900196, 0.43982, [4.6917e-06], [4.7693e-06], [4.6954e-06], [4.7597e-06], [2335], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.674470639865225e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928900421, 0.44408, [8.6065e-05], [8.7558e-05], [8.6628e-05], [8.7371e-05], [126], [10]], "benchmarks.TextSuite.time_split": [[3.434052237476142e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928900645, 0.44066, [3.4247e-05], [3.457e-05], [3.4281e-05], [3.4382e-05], [313], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002858738652493402], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928900864, 0.43354, [0.00028464], [0.00028642], [0.00028531], [0.00028597], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011589119999876453], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928901080, 0.43463, [0.0011506], [0.0011699], [0.0011509], [0.0011668], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001540008928194376], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928901297, 0.43582, [0.0015223], [0.0015583], [0.0015242], [0.0015552], [7], [10]]}, "durations": {"": 1.9634599685668945}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/b9e0014a-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/b9e0014a-virtualenv-py3.10.json new file mode 100644 index 0000000000..78bc2d38e8 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/b9e0014a-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "b9e0014add85dcbb3c725289955db2e346c84dfb", "env_name": "virtualenv-py3.10", "date": 1616751437000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.6998178342983942e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928116323, 0.44799, [1.6818e-07], [1.7116e-07], [1.6978e-07], [1.7052e-07], [64666], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.70502177501734e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928116553, 0.42977, [1.7013e-07], [1.7116e-07], [1.7031e-07], [1.7065e-07], [59010], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.708060499454652e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928116767, 0.45767, [1.6922e-07], [1.762e-07], [1.6994e-07], [1.712e-07], [64447], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7004442711291243e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928116994, 0.45538, [1.689e-07], [1.71e-07], [1.6962e-07], [1.704e-07], [64139], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.702947773471493e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928117221, 0.46279, [1.6903e-07], [1.7138e-07], [1.698e-07], [1.709e-07], [65105], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7016582945508121e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928117451, 0.45508, [1.6871e-07], [1.712e-07], [1.697e-07], [1.7088e-07], [64319], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010140812504687347], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928117678, 0.43782, [0.0010096], [0.001016], [0.0010115], [0.0010144], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014073906259000069], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928117895, 0.44708, [0.0014003], [0.0014124], [0.0014051], [0.0014088], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013990103761898354], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928118118, 0.44505, [0.0013951], [0.0014053], [0.0013976], [0.0014011], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1467188923626322e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928118341, 0.45495, [1.1409e-07], [1.1642e-07], [1.1452e-07], [1.1502e-07], [95867], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1468241056827694e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928118569, 0.44641, [1.1419e-07], [1.1647e-07], [1.145e-07], [1.1622e-07], [96195], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1533843505286693e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928118797, 0.45388, [1.1398e-07], [1.1714e-07], [1.1432e-07], [1.166e-07], [95296], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928112783, 0.06405], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928112847, 0.063369], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928112910, 0.063683], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0020583042001817375], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928119023, 0.43674, [0.0020375], [0.0020835], [0.0020558], [0.0020705], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012585462763025942], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928119243, 0.45369, [0.0012464], [0.001273], [0.0012522], [0.0012689], [9], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006639763664376612], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928119468, 0.44393, [0.00065901], [0.00066992], [0.00066003], [0.00066843], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.000550776316422822], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928119690, 0.44585, [0.00054582], [0.00055971], [0.00054866], [0.00055531], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.592313389588474e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928119910, 0.4457, [2.5675e-05], [2.6046e-05], [2.5705e-05], [2.5967e-05], [422], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018688303488919412], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928120137, 0.44773, [0.00018391], [0.00018843], [0.00018498], [0.00018813], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.362060948446285e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928120358, 0.44746, [4.3169e-05], [4.4233e-05], [4.319e-05], [4.4155e-05], [242], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032757661275325286], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928120578, 0.43624, [0.00032508], [0.00033857], [0.00032604], [0.00033228], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035616805010552826], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928120792, 0.44982, [0.0003548], [0.00035831], [0.00035588], [0.00035735], [30], [10]], "benchmarks.TextSuite.time_render": [[4.678165021476379e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928121015, 0.4452, [4.651e-06], [4.6976e-06], [4.6594e-06], [4.6905e-06], [2330], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.535840231616021e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928121242, 0.4644, [8.4407e-05], [8.5812e-05], [8.5252e-05], [8.56e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5228553957388027e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928121467, 0.44109, [3.5154e-05], [3.5396e-05], [3.5201e-05], [3.5298e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027554385527956153], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928121692, 0.43998, [0.0002732], [0.00027617], [0.00027442], [0.00027572], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010960312516544945], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928121910, 0.44672, [0.0010919], [0.0010989], [0.0010943], [0.0010978], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014901487842767633], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928122138, 0.43597, [0.0014879], [0.0014951], [0.0014892], [0.0014913], [7], [10]]}, "durations": {}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/ba5d0c2c-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/ba5d0c2c-virtualenv-py3.10.json new file mode 100644 index 0000000000..d1199db221 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/ba5d0c2c-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "ba5d0c2cfc35e929022dbe26c2edb4c210cb11ee", "env_name": "virtualenv-py3.10", "date": 1637405586000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7099719111164134e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929469379, 0.46212, [1.7e-07], [1.7237e-07], [1.7059e-07], [1.7156e-07], [64614], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6992863450832084e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929469612, 0.46668, [1.6965e-07], [1.706e-07], [1.6968e-07], [1.7036e-07], [64506], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7590241712395733e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929469847, 0.46733, [1.6986e-07], [1.806e-07], [1.7063e-07], [1.788e-07], [62716], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.70707002050929e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929470083, 0.45427, [1.6823e-07], [1.7291e-07], [1.7007e-07], [1.7193e-07], [64939], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.693035584829865e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929470312, 0.46714, [1.6847e-07], [1.7146e-07], [1.6881e-07], [1.6973e-07], [64691], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7005772273243105e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929470548, 0.46326, [1.6928e-07], [1.7169e-07], [1.6995e-07], [1.7037e-07], [64680], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010359979496570304], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929470779, 0.45233, [0.0010316], [0.0010429], [0.0010329], [0.0010386], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001431943430881282], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929471005, 0.44223, [0.0014292], [0.0014394], [0.0014299], [0.001434], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013096198126731906], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929471224, 0.44682, [0.001304], [0.0013227], [0.0013055], [0.001315], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1422716500932673e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929471453, 0.46259, [1.1321e-07], [1.1439e-07], [1.1366e-07], [1.1431e-07], [96135], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1448200174943257e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929471684, 0.46498, [1.1412e-07], [1.2063e-07], [1.1435e-07], [1.1702e-07], [96010], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1426247877882212e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929471919, 0.45399, [1.1407e-07], [1.1621e-07], [1.1417e-07], [1.1485e-07], [96585], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929465787, 0.065325], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929465852, 0.064656], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929465917, 0.064757], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0022018249990651386], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929472142, 0.44804, [0.0021871], [0.0022209], [0.0021976], [0.0022047], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0013314192492543953], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929472364, 0.4441, [0.0013222], [0.0014545], [0.0013259], [0.0013835], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00038731405543836043], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929472588, 0.4463, [0.0003837], [0.00038774], [0.00038438], [0.00038755], [27], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034269085482528975], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929472808, 0.45312, [0.00033989], [0.00035148], [0.00034092], [0.00034969], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5358665487215255e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929473033, 0.45872, [2.526e-05], [2.553e-05], [2.5311e-05], [2.5471e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001850423876272418], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929473262, 0.45789, [0.00018349], [0.00018715], [0.00018417], [0.00018611], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.378081666800426e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929473490, 0.45569, [4.3516e-05], [4.4552e-05], [4.3555e-05], [4.426e-05], [240], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032770027445944687], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929473715, 0.44077, [0.00032418], [0.00033175], [0.00032457], [0.00032793], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035871982781200446], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929473933, 0.45091, [0.00035736], [0.00037312], [0.0003578], [0.00036066], [29], [10]], "benchmarks.TextSuite.time_render": [[4.662722945550666e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929474156, 0.45536, [4.6424e-06], [4.6853e-06], [4.6601e-06], [4.6774e-06], [2319], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.52210273478704e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929474384, 0.46074, [8.4844e-05], [8.5595e-05], [8.5096e-05], [8.5269e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.511532793402091e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929474616, 0.44927, [3.5022e-05], [3.5207e-05], [3.5058e-05], [3.5169e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002737938683774126], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929474845, 0.44867, [0.00027329], [0.00027608], [0.00027358], [0.00027495], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010997395496815444], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929475068, 0.45672, [0.0010966], [0.0011037], [0.0010976], [0.0011008], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001370867188597913], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929475301, 0.45793, [0.001363], [0.001396], [0.0013674], [0.001374], [8], [10]]}, "durations": {"": 2.0138518810272217}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/bd34e0a1-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/bd34e0a1-virtualenv-py3.10.json new file mode 100644 index 0000000000..dbab786307 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/bd34e0a1-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "bd34e0a1ef8f59700f19277ec30cf0cb5ff01a08", "env_name": "virtualenv-py3.10", "date": 1630249006000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.699839021486255e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928448058, 0.46411, [1.6928e-07], [1.7066e-07], [1.6976e-07], [1.7022e-07], [64543], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7065917911440012e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928448289, 0.46101, [1.6959e-07], [1.7176e-07], [1.7032e-07], [1.7143e-07], [63906], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7027047136842674e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928448519, 0.45347, [1.6933e-07], [1.7085e-07], [1.7008e-07], [1.7056e-07], [62197], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.705627804106428e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928448744, 0.44593, [1.6984e-07], [1.7211e-07], [1.7033e-07], [1.7091e-07], [60616], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.704742747131115e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928448965, 0.46111, [1.6981e-07], [1.736e-07], [1.7015e-07], [1.7185e-07], [64022], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7001839810550803e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928449194, 0.46202, [1.6917e-07], [1.7086e-07], [1.6973e-07], [1.7031e-07], [64463], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001030816650018096], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928449424, 0.44965, [0.0010278], [0.001033], [0.0010292], [0.0010322], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014227369993022876], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928449648, 0.46324, [0.0014192], [0.0014278], [0.0014211], [0.0014265], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013010312486585462], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928449875, 0.44209, [0.0012946], [0.0013369], [0.0012984], [0.0013199], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1713555658106811e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928450099, 0.45425, [1.1411e-07], [1.1791e-07], [1.1594e-07], [1.175e-07], [95901], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1427845266258002e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928450322, 0.462, [1.1387e-07], [1.1492e-07], [1.1404e-07], [1.1434e-07], [96212], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1614896881760536e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928450553, 0.44326, [1.1572e-07], [1.1644e-07], [1.16e-07], [1.1632e-07], [96114], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928444497, 0.065574], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928444563, 0.064713], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928444627, 0.064512], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021352125972043724], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928450775, 0.44949, [0.0021156], [0.0021471], [0.0021243], [0.0021448], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012830364375986392], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928451003, 0.44869, [0.0012772], [0.0012901], [0.0012793], [0.0012865], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003747924108340937], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928451226, 0.44902, [0.00037021], [0.00037966], [0.00037076], [0.00037859], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003422741935918889], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928451448, 0.45319, [0.00034156], [0.00035121], [0.000342], [0.0003429], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.532128905682089e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928451673, 0.45978, [2.5261e-05], [2.5411e-05], [2.5301e-05], [2.535e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001846931525012794], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928451903, 0.45977, [0.00018348], [0.00018552], [0.00018419], [0.00018484], [59], [10]], "benchmarks.TextSuite.time_fit": [[4.347222154426229e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928452133, 0.44653, [4.3403e-05], [4.369e-05], [4.3446e-05], [4.3533e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032489785488935244], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928452361, 0.43679, [0.00032404], [0.00032617], [0.00032458], [0.0003256], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00036011494852698826], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928452579, 0.44723, [0.00035618], [0.00036365], [0.00035723], [0.00036237], [29], [10]], "benchmarks.TextSuite.time_render": [[4.676347421060345e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928452802, 0.44919, [4.6442e-06], [4.6921e-06], [4.6663e-06], [4.6841e-06], [2307], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.474758152972705e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928453031, 0.45763, [8.4345e-05], [8.5664e-05], [8.4437e-05], [8.541e-05], [129], [10]], "benchmarks.TextSuite.time_split": [[3.527678568566267e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928453262, 0.44942, [3.5132e-05], [3.5366e-05], [3.5193e-05], [3.5317e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.000274004381361393], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928453492, 0.44553, [0.00027321], [0.00027504], [0.00027377], [0.00027419], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010965041496092454], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928453714, 0.45428, [0.0010928], [0.0011023], [0.001094], [0.001101], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013701978750759736], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928453944, 0.45584, [0.0013647], [0.0013789], [0.0013687], [0.0013732], [8], [10]]}, "durations": {"": 1.992645263671875}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/c24ab497-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/c24ab497-virtualenv-py3.10.json new file mode 100644 index 0000000000..a5a457a19d --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/c24ab497-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "c24ab497ead3a30758ac1208ce76b925057138ac", "env_name": "virtualenv-py3.10", "date": 1591896878000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [null, [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928511659, 0.058873], "benchmarks.ColorSuite.time_downgrade_to_standard": [null, [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928511718, 0.059166], "benchmarks.ColorSuite.time_downgrade_to_windows": [null, [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928511777, 0.05774], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [null, [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928511835, 0.057941], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [null, [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928511893, 0.058], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [null, [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928511951, 0.057943], "benchmarks.PrettySuite.time_pretty": [null, [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928512009, 0.057429], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928512067, 0.057275], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928512124, 0.059217], "benchmarks.StyleSuite.time_parse_ansi": [null, [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928512183, 0.05876], "benchmarks.StyleSuite.time_parse_hex": [null, [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928512242, 0.060284], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [null, [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928512302, 0.057922], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928512360, 0.057638], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928512418, 0.057971], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928512476, 0.057943], "benchmarks.TableSuite.time_table_heavy_wrapping": [null, [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928512534, 0.05887], "benchmarks.TableSuite.time_table_no_wrapping": [null, [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928512593, 0.060205], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928512653, 0.060177], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928512714, 0.059204], "benchmarks.TextSuite.time_divide": [null, [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928512773, 0.059], "benchmarks.TextSuite.time_divide_unicode_heavy": [null, [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928512832, 0.058709], "benchmarks.TextSuite.time_fit": [null, [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928512891, 0.059158], "benchmarks.TextSuite.time_fit_unicode_heavy": [null, [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928512950, 0.058901], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928513009, 0.058609], "benchmarks.TextSuite.time_render": [null, [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928513068, 0.058868], "benchmarks.TextSuite.time_render_unicode_heavy": [null, [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928513127, 0.058921], "benchmarks.TextSuite.time_split": [null, [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928513186, 0.058957], "benchmarks.TextSuite.time_split_unicode_heavy": [null, [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928513245, 0.058532], "benchmarks.TextSuite.time_wrapping": [null, [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928513303, 0.058786], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [null, [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928513362, 0.058708]}, "durations": {"": 1.952800989151001}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/c3d0e358-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/c3d0e358-virtualenv-py3.10.json new file mode 100644 index 0000000000..aea7a94f5d --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/c3d0e358-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "c3d0e3584202d66703d2bcf2aaf3e7740bef6e2d", "env_name": "virtualenv-py3.10", "date": 1615044722000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.706721948289093e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929104157, 0.4578, [1.6967e-07], [1.7193e-07], [1.7016e-07], [1.7117e-07], [64125], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7067263036055206e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929104385, 0.43914, [1.701e-07], [1.7114e-07], [1.705e-07], [1.7087e-07], [60337], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7029728942220878e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929104604, 0.45742, [1.6832e-07], [1.7136e-07], [1.6943e-07], [1.7096e-07], [64010], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7058191830740293e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929104833, 0.45027, [1.7007e-07], [1.7242e-07], [1.7031e-07], [1.716e-07], [64784], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6997921753092606e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929105058, 0.43076, [1.6894e-07], [1.7276e-07], [1.6948e-07], [1.7053e-07], [58848], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7002529336257544e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929105273, 0.45924, [1.6863e-07], [1.7079e-07], [1.6944e-07], [1.7044e-07], [64523], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0009867746372368524], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929105502, 0.44858, [0.00098351], [0.0009905], [0.00098456], [0.0009894], [11], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0013813307486998383], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929105731, 0.4425, [0.0013773], [0.0013982], [0.0013799], [0.0013838], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013766301235591527], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929105952, 0.43972, [0.0013681], [0.0013831], [0.0013721], [0.0013805], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1451074278215668e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929106171, 0.45274, [1.142e-07], [1.1476e-07], [1.1435e-07], [1.1459e-07], [94714], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.144319970689746e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929106398, 0.4575, [1.1395e-07], [1.1581e-07], [1.1416e-07], [1.1507e-07], [95540], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1434822253539605e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929106626, 0.44599, [1.1352e-07], [1.1473e-07], [1.1385e-07], [1.1467e-07], [92774], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929100649, 0.062294], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929100711, 0.062668], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929100774, 0.062616], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0020758249971549957], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929106849, 0.43742, [0.0020646], [0.0020825], [0.0020688], [0.0020801], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001257328125575441], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929107071, 0.43877, [0.0012507], [0.0012633], [0.0012556], [0.0012597], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006604114687434048], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929107290, 0.44145, [0.00065931], [0.00066414], [0.00065988], [0.00066294], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005531458155019209], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929107514, 0.44704, [0.0005459], [0.00055725], [0.00054798], [0.00055356], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.536036300994194e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929107736, 0.45422, [2.5291e-05], [2.5645e-05], [2.5326e-05], [2.5417e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018511529297343102], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929107964, 0.44979, [0.00018419], [0.00018566], [0.00018479], [0.00018534], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.342335775093274e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929108189, 0.44062, [4.3393e-05], [4.3498e-05], [4.3412e-05], [4.3444e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003250845907270118], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929108413, 0.45113, [0.0003243], [0.00032594], [0.00032449], [0.00032538], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035472413834088064], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929108638, 0.43849, [0.00035346], [0.00035631], [0.00035435], [0.00035543], [29], [10]], "benchmarks.TextSuite.time_render": [[4.69378584045557e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929108856, 0.44704, [4.6866e-06], [4.7115e-06], [4.6916e-06], [4.7047e-06], [2330], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.506103517902375e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929109084, 0.45227, [8.4416e-05], [8.5233e-05], [8.4788e-05], [8.5182e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.518062299170191e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929109311, 0.44387, [3.5155e-05], [3.5274e-05], [3.5167e-05], [3.5212e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027354166675836616], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929109537, 0.44793, [0.00027265], [0.00027461], [0.00027282], [0.00027439], [39], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010926770497462711], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929109761, 0.44975, [0.0010917], [0.0010962], [0.0010918], [0.001094], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014860089286230505], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929109989, 0.43598, [0.0014841], [0.001493], [0.0014855], [0.0014868], [7], [10]]}, "durations": {"": 2.0572969913482666}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/c3ee3b05-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/c3ee3b05-virtualenv-py3.10.json new file mode 100644 index 0000000000..68aca2e426 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/c3ee3b05-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "c3ee3b05d6d06be435f199126490bc33fcceb502", "env_name": "virtualenv-py3.10", "date": 1599494837000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7359650694168215e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928869645, 0.42879, [1.7304e-07], [1.7438e-07], [1.7332e-07], [1.7389e-07], [58488], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7321814904444916e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928869859, 0.44494, [1.7037e-07], [1.738e-07], [1.7288e-07], [1.7355e-07], [63672], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7122861978936038e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928870085, 0.42443, [1.692e-07], [1.7393e-07], [1.7003e-07], [1.725e-07], [59039], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.730784538795744e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928870295, 0.42424, [1.6995e-07], [1.7532e-07], [1.7038e-07], [1.7388e-07], [58837], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7222288226416987e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928870505, 0.44042, [1.6955e-07], [1.7508e-07], [1.7015e-07], [1.7413e-07], [63390], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.732525867726762e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928870727, 0.42593, [1.715e-07], [1.7359e-07], [1.7314e-07], [1.7349e-07], [58186], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010950937503366731], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928870939, 0.43273, [0.0010927], [0.0011018], [0.0010941], [0.0010958], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928865417, 0.058607], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014801220718904265], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928871155, 0.4295, [0.0014596], [0.0015119], [0.0014632], [0.0014943], [7], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.150097373401724e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928871372, 0.43168, [1.1363e-07], [1.164e-07], [1.1393e-07], [1.1616e-07], [87652], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1623627455916411e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928871592, 0.45323, [1.1605e-07], [1.1669e-07], [1.1622e-07], [1.1634e-07], [96318], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1681741001228055e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928871818, 0.44773, [1.1421e-07], [1.1779e-07], [1.1633e-07], [1.1735e-07], [94619], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928866355, 0.058379], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928866413, 0.058399], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928866471, 0.058258], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002998671876412118], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928872040, 0.45122, [0.0029648], [0.0030303], [0.0029776], [0.0030186], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001991791585169267], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928872270, 0.43846, [0.0019668], [0.0020335], [0.0019694], [0.0020166], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006747890929545974], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928872490, 0.43672, [0.00067335], [0.00067698], [0.00067447], [0.00067524], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005638497639569994], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928872710, 0.44086, [0.00055526], [0.00056567], [0.00056305], [0.00056422], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.7937122073338986e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928872929, 0.44164, [2.7806e-05], [2.8029e-05], [2.788e-05], [2.7962e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018892068392392902], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928873149, 0.44191, [0.00018595], [0.00019177], [0.0001867], [0.00019095], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.255028314613569e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928873366, 0.42847, [4.2108e-05], [4.2968e-05], [4.2218e-05], [4.2891e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.000330760741734036], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928873582, 0.42684, [0.0003297], [0.0003338], [0.00033013], [0.00033126], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928868285, 0.058934], "benchmarks.TextSuite.time_render": [[4.742500867413157e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928873793, 0.43919, [4.6899e-06], [4.795e-06], [4.6998e-06], [4.7872e-06], [2303], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.594543644918188e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928874015, 0.43372, [8.4961e-05], [8.7627e-05], [8.5185e-05], [8.7142e-05], [126], [10]], "benchmarks.TextSuite.time_split": [[3.414321132192028e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928874235, 0.43689, [3.3703e-05], [3.4457e-05], [3.3733e-05], [3.4407e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028423841649782844], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928874450, 0.42524, [0.00028296], [0.00028481], [0.00028413], [0.00028433], [36], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011712430002969792], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928874660, 0.42689, [0.0011672], [0.0011881], [0.0011683], [0.0011754], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015502083593414034], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928874876, 0.43958, [0.0015291], [0.0015619], [0.0015317], [0.0015579], [7], [10]]}, "durations": {"": 1.986644983291626}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/c57e1f50-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/c57e1f50-virtualenv-py3.10.json new file mode 100644 index 0000000000..c7f9815742 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/c57e1f50-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "c57e1f508af1f042d2777e876f816ea157d7a61b", "env_name": "virtualenv-py3.10", "date": 1639307388000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.714491110860278e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928275224, 0.46519, [1.6975e-07], [1.7782e-07], [1.7058e-07], [1.7461e-07], [63727], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7027461841066378e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928275455, 0.45707, [1.6965e-07], [1.7078e-07], [1.7007e-07], [1.7057e-07], [62443], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7047429717748822e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928275680, 0.46068, [1.7004e-07], [1.7291e-07], [1.7032e-07], [1.7098e-07], [64837], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.705617274106604e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928275913, 0.45993, [1.6866e-07], [1.7297e-07], [1.7016e-07], [1.7149e-07], [63189], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7014491459324859e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928276142, 0.46474, [1.6942e-07], [1.7261e-07], [1.7001e-07], [1.7036e-07], [64538], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.705598281303084e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928276374, 0.46213, [1.6889e-07], [1.7162e-07], [1.7008e-07], [1.7119e-07], [64092], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011053917012759486], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928276603, 0.45395, [0.0011023], [0.0011085], [0.0011035], [0.0011061], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0015186042146524414], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928276827, 0.44997, [0.001513], [0.0015302], [0.0015157], [0.0015235], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013958828130853362], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928277056, 0.45084, [0.0013943], [0.0014059], [0.0013949], [0.001399], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1401847489424796e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928277281, 0.4627, [1.1363e-07], [1.1512e-07], [1.1394e-07], [1.1464e-07], [96374], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1481137513064852e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928277512, 0.46027, [1.1415e-07], [1.1598e-07], [1.1452e-07], [1.1504e-07], [95059], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.140413100898655e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928277742, 0.45958, [1.136e-07], [1.16e-07], [1.1388e-07], [1.1426e-07], [95957], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928271654, 0.065342], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928271719, 0.066024], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928271785, 0.064959], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023448374995496124], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928277973, 0.45709, [0.0023331], [0.0023602], [0.0023406], [0.0023541], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0013974921876069857], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928278206, 0.44946, [0.0013936], [0.0014034], [0.0013958], [0.0014017], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003741364825741741], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928278432, 0.46066, [0.000369], [0.00038045], [0.00036943], [0.00037896], [29], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034241532229052315], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928278663, 0.45381, [0.0003407], [0.00035204], [0.00034202], [0.00034336], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5390467207891914e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928278888, 0.45856, [2.5255e-05], [2.568e-05], [2.5282e-05], [2.5539e-05], [427], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018445797455970639], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928279117, 0.46, [0.00018362], [0.00018496], [0.00018435], [0.0001846], [59], [10]], "benchmarks.TextSuite.time_fit": [[4.347264431880757e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928279348, 0.44885, [4.3402e-05], [4.3656e-05], [4.3436e-05], [4.3501e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032379906418012275], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928279576, 0.4351, [0.00032263], [0.00032447], [0.00032352], [0.00032402], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035621048300527036], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928279792, 0.44442, [0.00035502], [0.00035665], [0.00035504], [0.0003566], [29], [10]], "benchmarks.TextSuite.time_render": [[4.671231239570824e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928280013, 0.45329, [4.6533e-06], [4.6965e-06], [4.6678e-06], [4.6748e-06], [2346], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.538590623174969e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928280243, 0.45959, [8.4735e-05], [8.6171e-05], [8.5306e-05], [8.5535e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5272602937671236e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928280476, 0.44679, [3.5083e-05], [3.5344e-05], [3.5106e-05], [3.531e-05], [306], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002739221446589861], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928280703, 0.44555, [0.00027302], [0.00027744], [0.00027323], [0.00027422], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013621380621771095], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928280925, 0.45765, [0.0013549], [0.001371], [0.0013578], [0.0013672], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014483660738083667], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928281159, 0.44349, [0.0014459], [0.0014557], [0.0014471], [0.0014504], [7], [10]]}, "durations": {"": 1.9935321807861328}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/c9afafdd-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/c9afafdd-virtualenv-py3.10.json new file mode 100644 index 0000000000..52701b62c6 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/c9afafdd-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "c9afafdd680831a43956906d56c78d9933aaf232", "env_name": "virtualenv-py3.10", "date": 1625495729000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.700951248298525e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928390301, 0.46203, [1.692e-07], [1.7076e-07], [1.6981e-07], [1.7039e-07], [64673], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7103683205663688e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928390531, 0.462, [1.683e-07], [1.7483e-07], [1.6997e-07], [1.7239e-07], [64414], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7375540579457413e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928390762, 0.43928, [1.6874e-07], [1.7934e-07], [1.7107e-07], [1.758e-07], [59196], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7372322871830168e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928390981, 0.43919, [1.7049e-07], [1.7453e-07], [1.7212e-07], [1.7393e-07], [59336], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7035417031611407e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928391200, 0.4613, [1.687e-07], [1.7084e-07], [1.6993e-07], [1.7056e-07], [64469], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.701952531167399e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928391431, 0.46118, [1.6973e-07], [1.7061e-07], [1.7008e-07], [1.7036e-07], [64314], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010273750522173941], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928391661, 0.44843, [0.0010248], [0.001031], [0.0010255], [0.0010299], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014186172502377303], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928391883, 0.4628, [0.001411], [0.0014373], [0.001416], [0.0014213], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.001297231812714017], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928392109, 0.45365, [0.0012922], [0.001326], [0.0012951], [0.0013006], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1546282518142483e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928392333, 0.46398, [1.14e-07], [1.1648e-07], [1.1425e-07], [1.1642e-07], [95818], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1437953690125767e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928392568, 0.46205, [1.1409e-07], [1.147e-07], [1.1429e-07], [1.1449e-07], [95992], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1490000416168787e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928392800, 0.46388, [1.143e-07], [1.1556e-07], [1.1441e-07], [1.155e-07], [96149], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928386753, 0.06613], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928386819, 0.064369], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928386884, 0.064504], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002137574899825268], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928393033, 0.45026, [0.0021276], [0.0021517], [0.0021333], [0.0021422], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012787266241502948], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928393262, 0.44791, [0.0012705], [0.0012855], [0.0012753], [0.0012815], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003780699283067536], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928393484, 0.4525, [0.00037484], [0.00038091], [0.00037521], [0.00038024], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034083669344263693], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928393709, 0.45134, [0.0003398], [0.00034938], [0.0003404], [0.00034116], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.531682168668687e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928393933, 0.4475, [2.5219e-05], [2.5365e-05], [2.5284e-05], [2.5325e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018503125014329524], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928394161, 0.45479, [0.00018447], [0.00018654], [0.00018474], [0.00018603], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3872542661800224e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928394389, 0.44692, [4.3791e-05], [4.4066e-05], [4.3839e-05], [4.3886e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003276344031027909], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928394616, 0.43749, [0.00032441], [0.00033087], [0.00032534], [0.00033033], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00035691442878617503], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928394835, 0.44344, [0.00035542], [0.00035958], [0.0003557], [0.00035843], [28], [10]], "benchmarks.TextSuite.time_render": [[4.687330839564741e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928395059, 0.45145, [4.6747e-06], [4.6983e-06], [4.6786e-06], [4.6903e-06], [2338], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.5333331981019e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928395289, 0.45674, [8.4427e-05], [8.5609e-05], [8.5265e-05], [8.545e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.517887054552237e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928395519, 0.4495, [3.5094e-05], [3.5259e-05], [3.5129e-05], [3.5212e-05], [309], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002791748813347352], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928395748, 0.44997, [0.00027761], [0.00028055], [0.0002783], [0.00028033], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011034083494450898], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928395973, 0.44412, [0.0010975], [0.0011086], [0.0010995], [0.0011054], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013684375007869676], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928396194, 0.45484, [0.0013634], [0.0013746], [0.0013648], [0.0013725], [8], [10]]}, "durations": {"": 1.994858980178833}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/cefafdc1-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/cefafdc1-virtualenv-py3.10.json new file mode 100644 index 0000000000..ea6a85917c --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/cefafdc1-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "cefafdc12e0220d139c704522979a0dc9b3f889b", "env_name": "virtualenv-py3.10", "date": 1595773790000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.704546528382287e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928765765, 0.45389, [1.6863e-07], [1.7948e-07], [1.6997e-07], [1.7364e-07], [64326], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7278454081920666e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928765990, 0.43019, [1.6968e-07], [1.7344e-07], [1.7138e-07], [1.7316e-07], [58735], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7354584728929763e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928766205, 0.43256, [1.7096e-07], [1.75e-07], [1.7327e-07], [1.7398e-07], [59055], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7354764783853303e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928766420, 0.42931, [1.7297e-07], [1.7402e-07], [1.7342e-07], [1.7381e-07], [58649], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7511662148215553e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928766633, 0.43929, [1.7234e-07], [1.7811e-07], [1.7353e-07], [1.7605e-07], [62064], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.738140176266751e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928766855, 0.44373, [1.7239e-07], [1.7487e-07], [1.7334e-07], [1.7415e-07], [61194], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022470708005130294], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928767076, 0.44218, [0.0021923], [0.002369], [0.0022364], [0.0022503], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928761692, 0.059072], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928761752, 0.05875], "benchmarks.StyleSuite.time_parse_ansi": [[1.1584348784741335e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928767295, 0.42598, [1.1424e-07], [1.1626e-07], [1.1515e-07], [1.1588e-07], [87613], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1584836758195661e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928767507, 0.43357, [1.1391e-07], [1.1645e-07], [1.1478e-07], [1.162e-07], [95814], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1609665945508573e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928767725, 0.42709, [1.1548e-07], [1.1703e-07], [1.1575e-07], [1.1634e-07], [87886], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928762454, 0.060686], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928762515, 0.059674], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928762575, 0.059784], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002139574999455362], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928767939, 0.44351, [0.0021099], [0.0021543], [0.0021336], [0.0021481], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0015003720722493847], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928768162, 0.43513, [0.0014939], [0.0015075], [0.0014978], [0.0015047], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006745013660596063], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928768381, 0.43049, [0.00067283], [0.00067888], [0.00067418], [0.00067516], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005579756947958635], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928768593, 0.42798, [0.00054923], [0.00056491], [0.0005558], [0.00055862], [18], [10]], "benchmarks.TextSuite.time_divide": [[2.8091112257214872e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928768803, 0.43339, [2.778e-05], [2.833e-05], [2.786e-05], [2.8305e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001871991844382137], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928769022, 0.44169, [0.00018646], [0.00018784], [0.00018714], [0.00018736], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.206184386837079e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928769242, 0.44227, [4.1933e-05], [4.2324e-05], [4.2018e-05], [4.2199e-05], [253], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033646909709674335], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928769461, 0.43658, [0.00033509], [0.00033761], [0.00033552], [0.00033735], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928764389, 0.06003], "benchmarks.TextSuite.time_render": [[4.717766528633372e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928769678, 0.44127, [4.6823e-06], [4.7261e-06], [4.6856e-06], [4.7187e-06], [2330], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.631900777800183e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928769903, 0.43641, [8.5338e-05], [8.7457e-05], [8.5719e-05], [8.7006e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.408707212097047e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928770118, 0.4406, [3.3545e-05], [3.4724e-05], [3.3566e-05], [3.4635e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028407601387919605], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928770340, 0.43471, [0.0002795], [0.00028527], [0.0002829], [0.00028475], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011582684997443317], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928770558, 0.43952, [0.0011575], [0.0011616], [0.0011578], [0.0011598], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001546357140926245], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928770775, 0.4414, [0.0015254], [0.0015481], [0.0015438], [0.001547], [7], [10]]}, "durations": {"": 2.086954116821289}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/cf606f0a-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/cf606f0a-virtualenv-py3.10.json new file mode 100644 index 0000000000..9153416c3b --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/cf606f0a-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "cf606f0a3cab3dbe8f9fdaa2ccc4882c594ce2af", "env_name": "virtualenv-py3.10", "date": 1633525640000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7008481431105879e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928188222, 0.46544, [1.6954e-07], [1.7061e-07], [1.6969e-07], [1.7028e-07], [64594], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6977103967130265e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928188453, 0.46493, [1.6885e-07], [1.7035e-07], [1.6916e-07], [1.6995e-07], [64640], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7019219427270743e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928188685, 0.44697, [1.6873e-07], [1.7048e-07], [1.6992e-07], [1.7025e-07], [60777], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.6952995534974653e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928188908, 0.45652, [1.6879e-07], [1.7055e-07], [1.6931e-07], [1.7014e-07], [62610], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7031425859421503e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928189136, 0.43789, [1.6929e-07], [1.7098e-07], [1.6983e-07], [1.7054e-07], [59023], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6987605637107828e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928189355, 0.46462, [1.6944e-07], [1.7074e-07], [1.6956e-07], [1.7009e-07], [64388], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010299416491761802], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928189587, 0.45289, [0.0010285], [0.0010327], [0.0010294], [0.0010307], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014262708118621958], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928189812, 0.46211, [0.0014191], [0.0014354], [0.0014247], [0.0014304], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.001303890689086984], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928190042, 0.44367, [0.0012991], [0.0013081], [0.0013012], [0.0013058], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1436060985643663e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928190267, 0.45499, [1.1394e-07], [1.1448e-07], [1.1412e-07], [1.1444e-07], [93493], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1419639107421115e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928190495, 0.45868, [1.1401e-07], [1.1455e-07], [1.1413e-07], [1.1433e-07], [96430], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1430237181679641e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928190728, 0.43607, [1.1373e-07], [1.1653e-07], [1.1406e-07], [1.1632e-07], [87905], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928184640, 0.06603], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928184706, 0.065403], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928184771, 0.065643], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002137375099118799], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928190946, 0.45268, [0.0021232], [0.0021537], [0.0021326], [0.0021444], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012819921867048834], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928191175, 0.45076, [0.0012766], [0.0012911], [0.0012804], [0.0012873], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0003731116074569789], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928191399, 0.4503, [0.00036905], [0.00037584], [0.00037004], [0.00037552], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0003418051126045025], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928191624, 0.45421, [0.00033996], [0.0003531], [0.00034031], [0.0003438], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.5420383814757277e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928191851, 0.45966, [2.5403e-05], [2.5511e-05], [2.5412e-05], [2.5462e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001843121525302719], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928192080, 0.45971, [0.0001837], [0.0001845], [0.00018417], [0.00018439], [59], [10]], "benchmarks.TextSuite.time_fit": [[4.359663006749261e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928192310, 0.44846, [4.3466e-05], [4.3834e-05], [4.3497e-05], [4.3732e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003243705758712057], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928192539, 0.45606, [0.00032357], [0.00032569], [0.00032394], [0.00032473], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003578462763408456], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928192766, 0.44675, [0.00035635], [0.00035953], [0.00035684], [0.00035852], [29], [10]], "benchmarks.TextSuite.time_render": [[4.663015471995789e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928192988, 0.45183, [4.657e-06], [4.6789e-06], [4.6602e-06], [4.6676e-06], [2328], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.517106255112594e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928193218, 0.45805, [8.4403e-05], [8.5247e-05], [8.5058e-05], [8.5219e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5236133115106055e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928193448, 0.45048, [3.5006e-05], [3.541e-05], [3.505e-05], [3.5343e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027417105248835137], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928193678, 0.44627, [0.00027297], [0.00027504], [0.00027352], [0.00027446], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.001099810349114705], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928193900, 0.44558, [0.0010964], [0.0011023], [0.001098], [0.0011009], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0013641328132507624], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928194122, 0.45588, [0.0013606], [0.0013688], [0.0013625], [0.0013656], [8], [10]]}, "durations": {"": 1.987940788269043}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/d1ea01d0-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/d1ea01d0-virtualenv-py3.10.json new file mode 100644 index 0000000000..ee142a6597 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/d1ea01d0-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "d1ea01d0a35ef1509ab98251227d6bf995b245a4", "env_name": "virtualenv-py3.10", "date": 1593352189000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7275511303374947e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928593878, 0.42685, [1.7156e-07], [1.7375e-07], [1.7224e-07], [1.7341e-07], [58817], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7343822759676602e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928594091, 0.43221, [1.7264e-07], [1.7385e-07], [1.7288e-07], [1.7372e-07], [64430], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7113201561862943e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928594307, 0.42831, [1.6899e-07], [1.7382e-07], [1.706e-07], [1.7237e-07], [64534], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7378755242519641e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928594522, 0.45416, [1.7285e-07], [1.7485e-07], [1.7343e-07], [1.7402e-07], [64350], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7333784869853573e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928594748, 0.45035, [1.722e-07], [1.7422e-07], [1.7318e-07], [1.7352e-07], [64372], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.740670683276435e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928594973, 0.4309, [1.7081e-07], [1.7449e-07], [1.7253e-07], [1.7434e-07], [64166], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002210033303708769], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928595189, 0.43765, [0.0022042], [0.0022327], [0.0022077], [0.0022118], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928590154, 0.058498], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928590213, 0.057913], "benchmarks.StyleSuite.time_parse_ansi": [[1.1428107393122285e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928595404, 0.44495, [1.1373e-07], [1.1449e-07], [1.1404e-07], [1.1433e-07], [95530], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1542248528245094e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928595627, 0.43917, [1.1413e-07], [1.1676e-07], [1.1431e-07], [1.1633e-07], [95943], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1608432618778828e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928595851, 0.44075, [1.1578e-07], [1.1647e-07], [1.1595e-07], [1.1632e-07], [95777], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928590923, 0.057854], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928590981, 0.057866], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928591038, 0.057476], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0020284958998672666], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928596078, 0.42371, [0.0020248], [0.0020344], [0.002027], [0.0020318], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014361726415310322], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928596293, 0.42172, [0.0014307], [0.0014433], [0.0014329], [0.0014408], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928591514, 0.058258], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928591572, 0.058273], "benchmarks.TextSuite.time_divide": [[2.8322780685372865e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928596506, 0.44533, [2.8226e-05], [2.8376e-05], [2.8307e-05], [2.833e-05], [383], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018953253477280797], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928596729, 0.44308, [0.00018654], [0.00019173], [0.00018753], [0.00019155], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.235208203317598e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928596948, 0.44025, [4.2095e-05], [4.3059e-05], [4.2247e-05], [4.2794e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003361021452057626], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928597168, 0.43071, [0.00033251], [0.00033843], [0.00033487], [0.00033783], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928592516, 0.058444], "benchmarks.TextSuite.time_render": [[4.687418159703545e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928597382, 0.4324, [4.6471e-06], [4.6982e-06], [4.6604e-06], [4.6959e-06], [2291], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.583528904182458e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928597601, 0.44525, [8.5363e-05], [8.6883e-05], [8.5395e-05], [8.6789e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.391068551741961e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928597826, 0.43549, [3.3659e-05], [3.4238e-05], [3.3828e-05], [3.4162e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028314977031629026], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928598042, 0.43206, [0.00027929], [0.00028619], [0.00027984], [0.00028522], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.00116348844474285], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928598257, 0.4364, [0.001144], [0.0011747], [0.0011457], [0.0011729], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015192588554262848], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928598475, 0.434, [0.0015163], [0.0015243], [0.0015173], [0.0015207], [7], [10]]}, "durations": {"": 1.9580459594726562}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/d6e6a762-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/d6e6a762-virtualenv-py3.10.json new file mode 100644 index 0000000000..10e6dc1245 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/d6e6a762-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "d6e6a7627e41b8177d5824848a33fe78a52defbf", "env_name": "virtualenv-py3.10", "date": 1638115361000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7044148018081613e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929382285, 0.45442, [1.6941e-07], [1.7235e-07], [1.7e-07], [1.7091e-07], [64534], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7100720142793016e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929382517, 0.46749, [1.6983e-07], [1.7229e-07], [1.7064e-07], [1.7127e-07], [64153], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7058500679039374e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929382752, 0.45793, [1.6951e-07], [1.7103e-07], [1.7018e-07], [1.7089e-07], [64648], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.70275577801008e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929382985, 0.46411, [1.6964e-07], [1.7086e-07], [1.6981e-07], [1.7062e-07], [64089], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.700077842064008e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929383217, 0.46804, [1.6932e-07], [1.7854e-07], [1.6988e-07], [1.7042e-07], [64618], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6995302828139584e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929383451, 0.45754, [1.691e-07], [1.7185e-07], [1.6985e-07], [1.7062e-07], [64528], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0011057438008720056], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929383685, 0.4556, [0.0011021], [0.0011127], [0.0011046], [0.0011064], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.001518651784863323], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929383910, 0.45139, [0.0015132], [0.0015288], [0.0015168], [0.0015217], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013965208745503332], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929384138, 0.45272, [0.0013928], [0.0014081], [0.0013936], [0.0013997], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.14279963534634e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929384364, 0.46515, [1.1383e-07], [1.1513e-07], [1.1425e-07], [1.1466e-07], [96041], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1550767465349522e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929384596, 0.46102, [1.1392e-07], [1.1693e-07], [1.1405e-07], [1.1682e-07], [94076], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1419077714234279e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929384825, 0.46473, [1.1388e-07], [1.1544e-07], [1.1406e-07], [1.1429e-07], [96272], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929378667, 0.06719], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929378734, 0.065859], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929378800, 0.065964], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0023521165974671023], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929385057, 0.46008, [0.0023354], [0.0023596], [0.0023481], [0.002354], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001415294249454746], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929385291, 0.4546, [0.0014002], [0.0015066], [0.0014028], [0.0014178], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037431696390350614], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929385519, 0.46925, [0.00037036], [0.00037745], [0.00037118], [0.00037714], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034069825825656973], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929385742, 0.45394, [0.00033797], [0.00035258], [0.0003388], [0.00034201], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.535485209975864e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929385969, 0.45971, [2.5221e-05], [2.5434e-05], [2.5315e-05], [2.5404e-05], [426], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018451293977579615], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929386198, 0.45778, [0.00018335], [0.00018545], [0.00018437], [0.00018511], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.351439636637934e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929386425, 0.44973, [4.3437e-05], [4.3568e-05], [4.3482e-05], [4.3547e-05], [246], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032582512137719965], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929386653, 0.4586, [0.00032488], [0.00032697], [0.00032528], [0.00032649], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003563821890816927], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929386881, 0.4471, [0.00035563], [0.00036099], [0.00035596], [0.0003567], [29], [10]], "benchmarks.TextSuite.time_render": [[4.675005164754989e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929387104, 0.45307, [4.6596e-06], [4.6868e-06], [4.6692e-06], [4.6829e-06], [2321], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.51159763163117e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929387334, 0.45551, [8.4379e-05], [8.5608e-05], [8.4655e-05], [8.5219e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.5167884774424445e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929387563, 0.45005, [3.5061e-05], [3.5247e-05], [3.5088e-05], [3.5228e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027289102600218775], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929387792, 0.45467, [0.00027132], [0.00027378], [0.00027258], [0.00027315], [39], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0013594817501143552], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929388018, 0.45641, [0.0013561], [0.0013673], [0.0013586], [0.0013646], [8], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014479047864110076], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929388249, 0.44442, [0.0014435], [0.0014508], [0.0014444], [0.0014503], [7], [10]]}, "durations": {"": 1.9784090518951416}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/d9d59c6e-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/d9d59c6e-virtualenv-py3.10.json new file mode 100644 index 0000000000..9a50d0517c --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/d9d59c6e-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "d9d59c6eda6d21f4515e9a8fe9496fa5e68f9500", "env_name": "virtualenv-py3.10", "date": 1601731540000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7007272862010314e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928948881, 0.44769, [1.691e-07], [1.7067e-07], [1.6979e-07], [1.7041e-07], [64713], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7230254365760394e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928949104, 0.44046, [1.6906e-07], [1.7397e-07], [1.6958e-07], [1.7329e-07], [64394], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.700615323578596e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928949330, 0.44909, [1.6912e-07], [1.7315e-07], [1.6998e-07], [1.7077e-07], [64454], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7185753185443347e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928949554, 0.43388, [1.6937e-07], [1.74e-07], [1.7027e-07], [1.7356e-07], [58729], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.6980957393884359e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928949774, 0.4481, [1.6901e-07], [1.7029e-07], [1.6955e-07], [1.7004e-07], [64550], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7070400929737442e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928949998, 0.45027, [1.6981e-07], [1.7197e-07], [1.7021e-07], [1.7133e-07], [64502], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0009214204540264539], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928950224, 0.43133, [0.00091927], [0.00092614], [0.00092008], [0.00092345], [11], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928944661, 0.057795], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0013074791258986806], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928950440, 0.42931, [0.0013042], [0.0013097], [0.0013051], [0.0013093], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1475910215925814e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928950658, 0.44674, [1.1367e-07], [1.1608e-07], [1.1398e-07], [1.1526e-07], [95416], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1526058413923107e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928950882, 0.45265, [1.1417e-07], [1.1624e-07], [1.1435e-07], [1.1575e-07], [94977], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1425953489652303e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928951111, 0.44765, [1.1396e-07], [1.1495e-07], [1.1408e-07], [1.1436e-07], [96382], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928945601, 0.05744], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928945658, 0.057925], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928945716, 0.057371], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0027217134993406944], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928951335, 0.42588, [0.0027174], [0.0027449], [0.0027199], [0.0027228], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0018379097503687567], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928951549, 0.44105, [0.0018355], [0.0018497], [0.0018371], [0.0018465], [6], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006745612190570682], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928951767, 0.4356, [0.00066229], [0.00067891], [0.00066486], [0.0006778], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005468925527039621], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928951990, 0.43292, [0.00054298], [0.00055628], [0.0005446], [0.00055198], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.7947836365042762e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928952204, 0.44141, [2.7888e-05], [2.8018e-05], [2.7904e-05], [2.7985e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018688398292930476], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928952424, 0.44236, [0.00018663], [0.00018762], [0.00018668], [0.00018727], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.223215535646712e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928952645, 0.43804, [4.2053e-05], [4.2538e-05], [4.2177e-05], [4.225e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032950469364051617], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928952863, 0.427, [0.00032902], [0.00033125], [0.0003292], [0.00032978], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928947520, 0.058016], "benchmarks.TextSuite.time_render": [[4.690418560544151e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928953076, 0.4365, [4.6716e-06], [4.7213e-06], [4.6755e-06], [4.7052e-06], [2327], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.534996516735459e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928953298, 0.4446, [8.4571e-05], [8.5513e-05], [8.5258e-05], [8.5447e-05], [129], [10]], "benchmarks.TextSuite.time_split": [[3.383466821851937e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928953522, 0.43553, [3.3784e-05], [3.3888e-05], [3.3819e-05], [3.3857e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002794617160091277], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928953739, 0.42829, [0.00027875], [0.00028134], [0.00027922], [0.00027985], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011428379447251144], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928953952, 0.43093, [0.0011403], [0.0011446], [0.0011426], [0.0011432], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015310773576077607], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928954165, 0.43585, [0.0015279], [0.0015349], [0.0015302], [0.0015327], [7], [10]]}, "durations": {"": 2.036357879638672}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/e0a1fd30-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/e0a1fd30-virtualenv-py3.10.json new file mode 100644 index 0000000000..e9ceb16440 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/e0a1fd30-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "e0a1fd3052a54144f54a20eb97bfc3f397658675", "env_name": "virtualenv-py3.10", "date": 1594310534000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7310468765644094e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928664281, 0.42707, [1.7202e-07], [1.7348e-07], [1.7287e-07], [1.7327e-07], [59157], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7140150026302792e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928664493, 0.44259, [1.6964e-07], [1.7335e-07], [1.6999e-07], [1.7295e-07], [64447], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7120258556264482e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928664717, 0.44445, [1.6984e-07], [1.7711e-07], [1.7032e-07], [1.7301e-07], [64274], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.739078501037466e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928664940, 0.42331, [1.7275e-07], [1.75e-07], [1.7376e-07], [1.7434e-07], [58318], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7400155762376018e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928665151, 0.44134, [1.7121e-07], [1.7447e-07], [1.7324e-07], [1.742e-07], [64208], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7380606893906802e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928665377, 0.43557, [1.6943e-07], [1.771e-07], [1.724e-07], [1.7451e-07], [64755], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0022525667038280515], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928665593, 0.44188, [0.0022446], [0.0022692], [0.0022481], [0.0022578], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928660547, 0.058901], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928660606, 0.058328], "benchmarks.StyleSuite.time_parse_ansi": [[1.1611185828598203e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928665811, 0.42395, [1.1578e-07], [1.1775e-07], [1.1595e-07], [1.1639e-07], [87441], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.170790392565746e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928666022, 0.42512, [1.1625e-07], [1.1786e-07], [1.1668e-07], [1.1741e-07], [87450], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1539420545928226e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928666234, 0.43805, [1.138e-07], [1.1688e-07], [1.143e-07], [1.1666e-07], [95936], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928661313, 0.058048], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928661371, 0.05784], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928661429, 0.057652], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021038542006863283], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928666450, 0.43374, [0.0020827], [0.0021521], [0.0020909], [0.0021359], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014810833568584972], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928666668, 0.42867, [0.0014557], [0.0015049], [0.0014606], [0.0014982], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928661915, 0.058367], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928661974, 0.058171], "benchmarks.TextSuite.time_divide": [[2.8066775329144937e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928666884, 0.44528, [2.7753e-05], [2.8493e-05], [2.7785e-05], [2.838e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00019063486813632934], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928667108, 0.44545, [0.00018949], [0.00019101], [0.00019018], [0.00019082], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.291398792965226e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928667331, 0.44101, [4.2623e-05], [4.3151e-05], [4.2759e-05], [4.3032e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003357896616028982], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928667550, 0.43211, [0.00033434], [0.00033657], [0.00033526], [0.00033627], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928662916, 0.058343], "benchmarks.TextSuite.time_render": [[4.695363762934517e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928667765, 0.44042, [4.6861e-06], [4.7038e-06], [4.6888e-06], [4.6987e-06], [2334], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.681542965405242e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928667990, 0.44792, [8.5205e-05], [8.7409e-05], [8.6381e-05], [8.6843e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.372648716088193e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928668216, 0.43541, [3.3659e-05], [3.3812e-05], [3.3705e-05], [3.3766e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028238456729308675], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928668433, 0.43206, [0.00028014], [0.00028621], [0.00028076], [0.00028362], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011480787199818427], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928668649, 0.43319, [0.0011355], [0.0011605], [0.001136], [0.0011575], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015361339277920447], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928668864, 0.43689, [0.001519], [0.0015511], [0.0015207], [0.0015504], [7], [10]]}, "durations": {"": 1.9530549049377441}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/e338ab14-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/e338ab14-virtualenv-py3.10.json new file mode 100644 index 0000000000..a492154f8a --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/e338ab14-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "e338ab145797e57a5db73f37b3883a30592f0643", "env_name": "virtualenv-py3.10", "date": 1596045245000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7237765726891362e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928791445, 0.44188, [1.6968e-07], [1.7551e-07], [1.7051e-07], [1.7508e-07], [64397], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7026478922479047e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928791662, 0.45003, [1.6824e-07], [1.725e-07], [1.685e-07], [1.7062e-07], [64455], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.718668772833788e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928791887, 0.44284, [1.6938e-07], [1.7492e-07], [1.7058e-07], [1.728e-07], [64741], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.741799941720092e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928792113, 0.42647, [1.7288e-07], [1.7543e-07], [1.735e-07], [1.7487e-07], [58313], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7065924860881734e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928792325, 0.45101, [1.6917e-07], [1.7312e-07], [1.6989e-07], [1.7253e-07], [64145], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7367138249440384e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928792551, 0.42737, [1.7333e-07], [1.7426e-07], [1.7359e-07], [1.7383e-07], [58416], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002228712401119992], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928792763, 0.44, [0.0022051], [0.0022493], [0.0022103], [0.0022462], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928787372, 0.05935], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928787431, 0.058882], "benchmarks.StyleSuite.time_parse_ansi": [[1.1642484415812025e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928792979, 0.44304, [1.1595e-07], [1.1701e-07], [1.1626e-07], [1.1688e-07], [96473], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1618160435974029e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928793196, 0.42542, [1.1589e-07], [1.1639e-07], [1.1607e-07], [1.1631e-07], [87575], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1601246714630609e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928793408, 0.43079, [1.1548e-07], [1.1651e-07], [1.1576e-07], [1.1625e-07], [96052], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928788146, 0.064197], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928788210, 0.061157], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928788271, 0.060177], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002149124999414198], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928793624, 0.44144, [0.0021426], [0.0021548], [0.0021465], [0.0021511], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014850386443348335], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928793847, 0.43148, [0.0014663], [0.0015021], [0.0014691], [0.0015009], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006758190311302315], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928794067, 0.43666, [0.00067329], [0.00067763], [0.00067488], [0.00067693], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005571765259925374], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928794287, 0.4416, [0.0005541], [0.00056586], [0.00055588], [0.00056347], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8368723374646302e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928794506, 0.44804, [2.8251e-05], [2.8635e-05], [2.8266e-05], [2.8468e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018895545684339093], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928794731, 0.43705, [0.00018618], [0.00019059], [0.00018704], [0.00019034], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.2167335354075975e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928794953, 0.43757, [4.196e-05], [4.2288e-05], [4.2114e-05], [4.2238e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003304905802642386], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928795171, 0.42855, [0.00032949], [0.00033101], [0.00033005], [0.00033082], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928790076, 0.059104], "benchmarks.TextSuite.time_render": [[4.6839064024984716e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928795384, 0.43598, [4.6644e-06], [4.7044e-06], [4.6657e-06], [4.6875e-06], [2313], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.61083985910227e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928795606, 0.44712, [8.496e-05], [8.687e-05], [8.5796e-05], [8.6759e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.3972478264562766e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928795832, 0.42753, [3.363e-05], [3.4464e-05], [3.3653e-05], [3.4306e-05], [299], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002844459459821165], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928796043, 0.43604, [0.00028389], [0.00028542], [0.00028433], [0.0002849], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011586804984189156], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928796260, 0.43906, [0.0011456], [0.0011665], [0.0011465], [0.001166], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001550122002039903], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928796480, 0.44303, [0.0015462], [0.001553], [0.0015496], [0.001552], [7], [10]]}, "durations": {"": 1.9766087532043457}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/e34eadb3-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/e34eadb3-virtualenv-py3.10.json new file mode 100644 index 0000000000..882eccb15c --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/e34eadb3-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "e34eadb3a9354c2469fa2112400ce2690f2663ba", "env_name": "virtualenv-py3.10", "date": 1617443480000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.696712790099806e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928144840, 0.45463, [1.6843e-07], [1.7049e-07], [1.6953e-07], [1.6998e-07], [64103], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7027267398097965e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928145066, 0.45781, [1.6987e-07], [1.7109e-07], [1.6993e-07], [1.706e-07], [64678], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7049283188862985e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928145295, 0.44791, [1.6919e-07], [1.708e-07], [1.6948e-07], [1.7059e-07], [64452], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.705121943921845e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928145524, 0.45681, [1.6982e-07], [1.7131e-07], [1.7027e-07], [1.7101e-07], [64496], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.702775916823948e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928145754, 0.45544, [1.6886e-07], [1.7083e-07], [1.7001e-07], [1.7047e-07], [64186], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6998984571588156e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928145981, 0.45874, [1.6864e-07], [1.7059e-07], [1.6966e-07], [1.7014e-07], [64553], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001011210400611162], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928146210, 0.43803, [0.001009], [0.0010129], [0.0010103], [0.0010116], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014061588135518832], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928146428, 0.44757, [0.0014009], [0.0014131], [0.0014045], [0.0014091], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014056692507438129], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928146651, 0.44633, [0.0014033], [0.0014173], [0.0014049], [0.0014074], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1435738375325794e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928146873, 0.4552, [1.1406e-07], [1.1462e-07], [1.142e-07], [1.1449e-07], [96076], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1418502917649992e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928147101, 0.4558, [1.1393e-07], [1.1441e-07], [1.1408e-07], [1.1423e-07], [95693], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1394088208804275e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928147330, 0.45397, [1.1368e-07], [1.1425e-07], [1.1384e-07], [1.1411e-07], [95986], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928141354, 0.062237], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928141416, 0.061926], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928141478, 0.061969], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002072625001892448], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928147558, 0.43503, [0.0020589], [0.0020926], [0.0020642], [0.0020782], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012561796866066288], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928147779, 0.43518, [0.0012465], [0.0012609], [0.0012487], [0.0012601], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006597473739020643], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928147995, 0.43776, [0.00065713], [0.00066447], [0.00065827], [0.00066178], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005476217101156515], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928148216, 0.43322, [0.00054434], [0.00055494], [0.0005472], [0.00054804], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5546180958848535e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928148434, 0.44931, [2.5203e-05], [2.5867e-05], [2.5285e-05], [2.5816e-05], [420], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018499138793137308], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928148656, 0.44848, [0.00018347], [0.00018566], [0.00018476], [0.00018512], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.3639797973921715e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928148881, 0.44002, [4.3581e-05], [4.3722e-05], [4.3606e-05], [4.3684e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003260978635146537], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928149104, 0.45085, [0.00032518], [0.00032767], [0.00032528], [0.00032741], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.000359940362174931], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928149329, 0.44151, [0.00035865], [0.00036075], [0.00035891], [0.00036044], [29], [10]], "benchmarks.TextSuite.time_render": [[4.6775250730475595e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928149549, 0.44493, [4.6489e-06], [4.7241e-06], [4.65e-06], [4.7058e-06], [2333], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.522135544808407e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928149775, 0.45028, [8.4664e-05], [8.5461e-05], [8.501e-05], [8.5415e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5257034106542926e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928150002, 0.44363, [3.518e-05], [3.5338e-05], [3.5206e-05], [3.5272e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002739347630842148], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928150228, 0.43988, [0.00027353], [0.0002753], [0.0002737], [0.00027438], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010990895490976982], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928150448, 0.44813, [0.001093], [0.0011074], [0.0010948], [0.0011054], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0014903362836256357], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928150676, 0.4363, [0.0014875], [0.0014996], [0.0014885], [0.0014932], [7], [10]]}, "durations": {"": 1.9847049713134766}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/e5246436-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/e5246436-virtualenv-py3.10.json new file mode 100644 index 0000000000..8cb2804955 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/e5246436-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "e5246436cd75de32f3436cc88d6e4fdebe13bd8d", "env_name": "virtualenv-py3.10", "date": 1624045427000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7121876383992076e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928375942, 0.45699, [1.6972e-07], [1.7385e-07], [1.7045e-07], [1.7316e-07], [64549], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7140758442246742e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928376173, 0.45585, [1.6994e-07], [1.7409e-07], [1.7087e-07], [1.7208e-07], [63604], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7555230280790102e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928376400, 0.45414, [1.7091e-07], [1.7958e-07], [1.7178e-07], [1.7913e-07], [64050], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7444178637067224e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928376625, 0.44307, [1.6957e-07], [1.7989e-07], [1.7037e-07], [1.7971e-07], [57684], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7027203980746368e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928376846, 0.43123, [1.692e-07], [1.7118e-07], [1.7021e-07], [1.7061e-07], [59142], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7416664249620003e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928377060, 0.44769, [1.7065e-07], [1.7953e-07], [1.7095e-07], [1.7918e-07], [61578], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0010265853998134844], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928377284, 0.44568, [0.0010241], [0.0010299], [0.0010264], [0.0010274], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014202526235749247], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928377506, 0.45577, [0.0014176], [0.001425], [0.0014186], [0.0014223], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0012978619397472357], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928377732, 0.44848, [0.0012918], [0.0013056], [0.0012969], [0.0012993], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1537922092642804e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928377956, 0.45884, [1.1374e-07], [1.1682e-07], [1.141e-07], [1.1658e-07], [95596], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1562117250055742e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928378185, 0.45754, [1.1431e-07], [1.1604e-07], [1.1445e-07], [1.1595e-07], [94939], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1666161339593778e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928378414, 0.44748, [1.1392e-07], [1.1803e-07], [1.1428e-07], [1.177e-07], [96409], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928372422, 0.063342], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928372485, 0.063096], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928372549, 0.062772], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021321667009033263], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928378638, 0.44575, [0.0021211], [0.0021441], [0.0021242], [0.0021377], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0012759244382323232], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928378864, 0.44247, [0.0012695], [0.001283], [0.0012729], [0.0012805], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.00037540624959677056], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928379084, 0.4371, [0.00037151], [0.00038821], [0.00037181], [0.00038666], [28], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.00034207595144248297], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928379304, 0.44882, [0.00034136], [0.00035348], [0.00034155], [0.0003426], [31], [10]], "benchmarks.TextSuite.time_divide": [[2.536586947665313e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928379528, 0.45538, [2.5203e-05], [2.5458e-05], [2.5243e-05], [2.5434e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.0001846677410428348], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928379755, 0.44978, [0.00018411], [0.00018508], [0.00018436], [0.00018488], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.364762043019719e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928379980, 0.44107, [4.3402e-05], [4.3756e-05], [4.3483e-05], [4.3667e-05], [245], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032506787101738155], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928380204, 0.43222, [0.00032414], [0.00032574], [0.00032463], [0.00032542], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003573304651393395], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928380419, 0.4409, [0.00035635], [0.00035834], [0.00035689], [0.00035791], [29], [10]], "benchmarks.TextSuite.time_render": [[4.691495508280876e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928380638, 0.44744, [4.6776e-06], [4.7016e-06], [4.6895e-06], [4.6965e-06], [2336], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.530924219485314e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928380866, 0.45274, [8.4673e-05], [8.5853e-05], [8.5133e-05], [8.567e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5445277587444117e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928381094, 0.44686, [3.5215e-05], [3.5504e-05], [3.5315e-05], [3.5482e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027470559220283146], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928381321, 0.44608, [0.00027409], [0.00027789], [0.00027428], [0.00027512], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0010961708016111516], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928381543, 0.45057, [0.0010949], [0.0011069], [0.0010956], [0.0010981], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001370231688269996], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928381771, 0.44155, [0.0013624], [0.0013824], [0.0013637], [0.0013763], [8], [10]]}, "durations": {"": 1.9848251342773438}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/e7849495-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/e7849495-virtualenv-py3.10.json new file mode 100644 index 0000000000..a569bcb376 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/e7849495-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "e7849495bba31d9320e17c23f24d50f6e3447486", "env_name": "virtualenv-py3.10", "date": 1595520125000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7148217870415353e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928752792, 0.444, [1.6818e-07], [1.7513e-07], [1.7023e-07], [1.7386e-07], [64557], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.717760784730424e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928753009, 0.44202, [1.6824e-07], [1.7425e-07], [1.6944e-07], [1.7385e-07], [64440], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7394742863716818e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928753226, 0.42645, [1.7242e-07], [1.7453e-07], [1.7311e-07], [1.7422e-07], [58682], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.738570892575407e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928753437, 0.42594, [1.7302e-07], [1.7498e-07], [1.7372e-07], [1.7442e-07], [58498], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7395242587634876e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928753649, 0.42775, [1.7351e-07], [1.7469e-07], [1.7381e-07], [1.7399e-07], [58456], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7219868784628356e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928753860, 0.43147, [1.7117e-07], [1.7401e-07], [1.7132e-07], [1.7295e-07], [58602], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002241970898467116], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928754071, 0.44207, [0.0022266], [0.0022534], [0.0022288], [0.0022469], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928748754, 0.058708], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928748813, 0.058418], "benchmarks.StyleSuite.time_parse_ansi": [[1.1589902303258713e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928754290, 0.42601, [1.1557e-07], [1.1612e-07], [1.158e-07], [1.1592e-07], [87921], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1435150056040357e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928754503, 0.44939, [1.1368e-07], [1.1473e-07], [1.1404e-07], [1.1441e-07], [96199], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.151733038312782e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928754728, 0.44075, [1.1392e-07], [1.1708e-07], [1.1418e-07], [1.163e-07], [96703], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928749526, 0.058835], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928749585, 0.058365], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928749643, 0.058179], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002147645902005024], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928754953, 0.44036, [0.0021381], [0.0021603], [0.0021456], [0.0021526], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001480997001635842], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928755177, 0.4327, [0.0014611], [0.0014968], [0.0014654], [0.0014952], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.00067317184402782], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928755396, 0.43643, [0.00067152], [0.00067656], [0.00067246], [0.00067436], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005569835522788038], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928755618, 0.4352, [0.00054821], [0.00055829], [0.00055497], [0.00055743], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.814016095545455e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928755840, 0.44388, [2.7886e-05], [2.8309e-05], [2.7949e-05], [2.8281e-05], [382], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00019082979256296003], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928756060, 0.42581, [0.00018821], [0.00019268], [0.00018988], [0.00019128], [53], [10]], "benchmarks.TextSuite.time_fit": [[4.294921291513316e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928756273, 0.43253, [4.2466e-05], [4.3271e-05], [4.2744e-05], [4.2999e-05], [249], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003302567258229359], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928756493, 0.43148, [0.00032924], [0.00033487], [0.00032959], [0.0003326], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928751425, 0.059965], "benchmarks.TextSuite.time_render": [[4.696148469404577e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928756710, 0.44171, [4.6716e-06], [4.7853e-06], [4.6868e-06], [4.7318e-06], [2327], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.574868889257869e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928756935, 0.44548, [8.4753e-05], [8.8755e-05], [8.5435e-05], [8.6309e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.4033222558314095e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928757160, 0.43487, [3.3872e-05], [3.4551e-05], [3.3902e-05], [3.4423e-05], [301], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002822291756495582], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928757375, 0.43743, [0.00027952], [0.00028869], [0.00027998], [0.00028449], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011652338337929298], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928757595, 0.43324, [0.0011616], [0.0011693], [0.001163], [0.001167], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015330178555034634], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928757816, 0.44158, [0.0015247], [0.001553], [0.0015261], [0.0015458], [7], [10]]}, "durations": {"": 1.9744257926940918}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/e9e72000-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/e9e72000-virtualenv-py3.10.json new file mode 100644 index 0000000000..ec804be10b --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/e9e72000-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "e9e72000c50f56654c89e119ff882e322e51ecf3", "env_name": "virtualenv-py3.10", "date": 1594757621000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7304169585631847e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928714152, 0.42423, [1.7196e-07], [1.7392e-07], [1.7257e-07], [1.7341e-07], [58699], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7125368267902652e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928714363, 0.43145, [1.6882e-07], [1.735e-07], [1.6998e-07], [1.7302e-07], [58721], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7101817868163705e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928714581, 0.43901, [1.6945e-07], [1.7245e-07], [1.705e-07], [1.7123e-07], [64829], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.732246945458925e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928714805, 0.42978, [1.7229e-07], [1.7422e-07], [1.7291e-07], [1.7373e-07], [57992], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.717644183078106e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928715023, 0.44824, [1.698e-07], [1.7285e-07], [1.7041e-07], [1.7259e-07], [64432], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.721922586441147e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928715249, 0.42244, [1.6925e-07], [1.7376e-07], [1.7043e-07], [1.7344e-07], [59100], [10]], "benchmarks.PrettySuite.time_pretty": [[0.0021911416988587007], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928715461, 0.43276, [0.0021847], [0.0022], [0.002187], [0.0021966], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928710109, 0.058049], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928710168, 0.057828], "benchmarks.StyleSuite.time_parse_ansi": [[1.1611352647949346e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928715675, 0.44343, [1.1562e-07], [1.1813e-07], [1.1588e-07], [1.1706e-07], [93956], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1625654809648257e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928715895, 0.4449, [1.1588e-07], [1.1765e-07], [1.1622e-07], [1.1633e-07], [94647], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1621984081693307e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928716118, 0.4218, [1.1599e-07], [1.1699e-07], [1.1606e-07], [1.1641e-07], [87693], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928710884, 0.057714], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928710941, 0.057198], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928710999, 0.057344], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0021389750036178157], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928716328, 0.43712, [0.0021263], [0.002152], [0.0021338], [0.0021426], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.001480624998553789], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928716549, 0.42858, [0.0014654], [0.0015014], [0.0014703], [0.0014919], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006738208331322918], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928716766, 0.4257, [0.00067146], [0.00067512], [0.00067242], [0.00067498], [15], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005575383938297531], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928716976, 0.43998, [0.0005558], [0.00056747], [0.00055683], [0.00055774], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8062498696319954e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928717195, 0.43825, [2.7727e-05], [2.8481e-05], [2.7746e-05], [2.8329e-05], [380], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018722989459587423], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928717415, 0.43764, [0.00018621], [0.00018781], [0.000187], [0.00018742], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.257493278079781e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928717633, 0.44288, [4.193e-05], [4.3198e-05], [4.204e-05], [4.3016e-05], [253], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00033001745149733555], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928717855, 0.42619, [0.00032897], [0.00033136], [0.00032948], [0.00033029], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928712796, 0.057893], "benchmarks.TextSuite.time_render": [[4.699889219279239e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928718067, 0.43703, [4.6654e-06], [4.7379e-06], [4.6769e-06], [4.7221e-06], [2329], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.690103879479435e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928718289, 0.42866, [8.6244e-05], [8.7206e-05], [8.6697e-05], [8.7149e-05], [116], [10]], "benchmarks.TextSuite.time_split": [[3.437333175381168e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928718509, 0.44056, [3.4274e-05], [3.4489e-05], [3.4332e-05], [3.4457e-05], [312], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028171171623005256], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928718728, 0.43094, [0.00027874], [0.00028472], [0.00027907], [0.00028437], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011581967232309075], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928718944, 0.43562, [0.0011551], [0.0011627], [0.0011563], [0.0011595], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015381249998297009], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928719160, 0.43655, [0.0015173], [0.0015526], [0.0015184], [0.0015516], [7], [10]]}, "durations": {"": 1.946124792098999}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/ea049ffc-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/ea049ffc-virtualenv-py3.10.json new file mode 100644 index 0000000000..95acb4fce7 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/ea049ffc-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "ea049ffc148998ad3190faaf66992c9704e7d36a", "env_name": "virtualenv-py3.10", "date": 1609342393000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7059619594426984e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929189851, 0.45742, [1.6965e-07], [1.7127e-07], [1.7041e-07], [1.7097e-07], [64379], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7037798300825593e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929190079, 0.43113, [1.688e-07], [1.7134e-07], [1.6943e-07], [1.7059e-07], [59250], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.708548590689205e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929190293, 0.43051, [1.6998e-07], [1.7131e-07], [1.7059e-07], [1.7108e-07], [58836], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7071138782911116e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929190506, 0.45583, [1.6986e-07], [1.7116e-07], [1.7035e-07], [1.7092e-07], [64235], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7050682667895332e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929190734, 0.45732, [1.6947e-07], [1.7732e-07], [1.6992e-07], [1.7091e-07], [64163], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7009128098477326e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929190961, 0.43117, [1.6962e-07], [1.7049e-07], [1.6989e-07], [1.7027e-07], [59295], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001028991698694881], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929191175, 0.44413, [0.0010263], [0.0010344], [0.0010272], [0.0010305], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014355952132193905], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929191396, 0.43674, [0.0014324], [0.0014414], [0.001434], [0.0014389], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014122656248218846], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929191613, 0.4448, [0.0014101], [0.0014149], [0.0014113], [0.0014134], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1422091261864285e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929191838, 0.45627, [1.1399e-07], [1.146e-07], [1.1416e-07], [1.1437e-07], [95884], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1400060083075363e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929192066, 0.45621, [1.1367e-07], [1.1424e-07], [1.1381e-07], [1.1403e-07], [95706], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1452134145600497e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929192295, 0.45558, [1.1416e-07], [1.1504e-07], [1.1431e-07], [1.1468e-07], [95448], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929186329, 0.062459], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929186391, 0.062113], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929186453, 0.06242], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0032206458745349664], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929192524, 0.46723, [0.003216], [0.0032354], [0.0032187], [0.0032301], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0021276916988426818], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929192758, 0.44464, [0.0021175], [0.0021386], [0.0021259], [0.0021292], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006589817812709953], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929192984, 0.4381, [0.00065813], [0.0006609], [0.00065854], [0.00065946], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005480756578770908], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929193206, 0.44425, [0.00054296], [0.00055451], [0.00054674], [0.00055224], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.8107492053482504e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929193426, 0.44575, [2.7782e-05], [2.8388e-05], [2.7822e-05], [2.8382e-05], [376], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018721856988696873], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929193647, 0.44671, [0.00018603], [0.00018742], [0.00018675], [0.00018735], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2081507958520006e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929193869, 0.44626, [4.1961e-05], [4.2181e-05], [4.2054e-05], [4.2108e-05], [251], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003292923220508401], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929194092, 0.4345, [0.00032839], [0.00033001], [0.00032915], [0.0003295], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003938862114759664], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929194307, 0.43585, [0.00039303], [0.00039502], [0.00039349], [0.00039444], [26], [10]], "benchmarks.TextSuite.time_render": [[4.67366803080411e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929194524, 0.44448, [4.6629e-06], [4.6981e-06], [4.6695e-06], [4.6824e-06], [2324], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.52147363837603e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929194750, 0.44851, [8.4509e-05], [8.5671e-05], [8.4673e-05], [8.5466e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.3982782978399795e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929194976, 0.44814, [3.3718e-05], [3.4366e-05], [3.3793e-05], [3.4176e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028071735121901274], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929195201, 0.43931, [0.00027824], [0.0002819], [0.00027954], [0.00028166], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011520439438754693], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929195420, 0.44244, [0.0011413], [0.0011579], [0.0011428], [0.0011558], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015352291416742706], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929195640, 0.44684, [0.0015279], [0.0015493], [0.0015285], [0.001543], [7], [10]]}, "durations": {"": 1.9785568714141846}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/ea2ed337-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/ea2ed337-virtualenv-py3.10.json new file mode 100644 index 0000000000..6bc0b29086 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/ea2ed337-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "ea2ed337f20cc629a1754cf9bd5add1cce963aa6", "env_name": "virtualenv-py3.10", "date": 1614508821000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.699270445001639e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929075471, 0.45734, [1.6926e-07], [1.7112e-07], [1.6963e-07], [1.7036e-07], [64416], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.699839773562212e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929075698, 0.43261, [1.6948e-07], [1.7058e-07], [1.698e-07], [1.703e-07], [59354], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7042278704198481e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929075913, 0.443, [1.6889e-07], [1.8068e-07], [1.6978e-07], [1.7055e-07], [58643], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.705763073721423e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929076138, 0.45874, [1.7019e-07], [1.7101e-07], [1.7042e-07], [1.7085e-07], [64568], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.702604839791603e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929076368, 0.45921, [1.7003e-07], [1.7078e-07], [1.7014e-07], [1.7058e-07], [64480], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.7072115838546423e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929076598, 0.46008, [1.6907e-07], [1.7113e-07], [1.6997e-07], [1.7103e-07], [64594], [10]], "benchmarks.PrettySuite.time_pretty": [[0.000998844680990177], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929076828, 0.44798, [0.00099627], [0.0010007], [0.00099794], [0.0010004], [11], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014016875647939742], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929077049, 0.4507, [0.0013957], [0.0014115], [0.0013986], [0.0014056], [8], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.0014096432496444322], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929077275, 0.46141, [0.0013854], [0.0015002], [0.0013882], [0.0014767], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1421153209424056e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929077515, 0.45656, [1.1403e-07], [1.1434e-07], [1.1418e-07], [1.1429e-07], [95482], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1433014258269549e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929077745, 0.45743, [1.1383e-07], [1.1521e-07], [1.141e-07], [1.1513e-07], [95901], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1435027755203576e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929077975, 0.45838, [1.1408e-07], [1.1583e-07], [1.1425e-07], [1.1451e-07], [96188], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929071941, 0.06308], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929072005, 0.062548], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929072067, 0.062575], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002230391599005088], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929078204, 0.44757, [0.0022172], [0.0022376], [0.0022198], [0.0022335], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0013334635004866868], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929078424, 0.44529, [0.0013239], [0.0013418], [0.0013251], [0.0013393], [8], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006635794061367051], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929078652, 0.44234, [0.0006602], [0.0006677], [0.00066226], [0.00066413], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005476820002322232], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929078875, 0.4454, [0.00054475], [0.00055686], [0.00054718], [0.000549], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.5383448699057223e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929079097, 0.4544, [2.5288e-05], [2.5499e-05], [2.5327e-05], [2.5436e-05], [429], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018485990535580264], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929079324, 0.45031, [0.00018401], [0.0001883], [0.00018456], [0.00018533], [58], [10]], "benchmarks.TextSuite.time_fit": [[4.356627158749726e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929079550, 0.44868, [4.3497e-05], [4.3774e-05], [4.3551e-05], [4.3639e-05], [243], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.00032465213646928805], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929079773, 0.45029, [0.0003232], [0.00032532], [0.000324], [0.00032501], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.0003899706848810807], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929079997, 0.45063, [0.00038814], [0.00039324], [0.0003887], [0.00039139], [27], [10]], "benchmarks.TextSuite.time_render": [[4.688892462637974e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929080225, 0.44956, [4.6587e-06], [4.7619e-06], [4.6832e-06], [4.6925e-06], [2334], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.54899062687764e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929080454, 0.45461, [8.5025e-05], [8.625e-05], [8.5269e-05], [8.5618e-05], [128], [10]], "benchmarks.TextSuite.time_split": [[3.5189732112815946e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929080683, 0.44465, [3.5029e-05], [3.5386e-05], [3.5073e-05], [3.5325e-05], [308], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002749506709637659], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929080911, 0.44276, [0.00027375], [0.00027818], [0.00027477], [0.00027516], [38], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011060354008805007], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929081133, 0.44245, [0.001102], [0.0011275], [0.0011046], [0.0011078], [10], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.001495095215172374], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929081354, 0.44021, [0.0014861], [0.0015397], [0.0014886], [0.0015306], [7], [10]]}, "durations": {"": 2.011971950531006}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/ecf3d7f1-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/ecf3d7f1-virtualenv-py3.10.json new file mode 100644 index 0000000000..d595b1fcbf --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/ecf3d7f1-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "ecf3d7f1ca2b2a5ea9c36ce2b23ae576e0421b6c", "env_name": "virtualenv-py3.10", "date": 1610210649000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7077999653168063e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646929232564, 0.458, [1.7012e-07], [1.7158e-07], [1.7068e-07], [1.7101e-07], [64374], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.6982937646676327e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646929232792, 0.45662, [1.6942e-07], [1.7084e-07], [1.6969e-07], [1.7026e-07], [64528], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7052654030470147e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646929233021, 0.44838, [1.6924e-07], [1.7441e-07], [1.7033e-07], [1.7123e-07], [64769], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7015041488254633e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646929233250, 0.43117, [1.6926e-07], [1.7139e-07], [1.7011e-07], [1.7062e-07], [59060], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.697587509480688e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646929233463, 0.4559, [1.6815e-07], [1.7107e-07], [1.6936e-07], [1.7015e-07], [64506], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.6991487564124173e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646929233690, 0.45553, [1.6835e-07], [1.7012e-07], [1.6961e-07], [1.7007e-07], [64388], [10]], "benchmarks.PrettySuite.time_pretty": [[0.001027235398942139], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646929233918, 0.44392, [0.0010237], [0.0010528], [0.0010245], [0.0010322], [10], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [[0.0014370237851315843], [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646929234140, 0.43944, [0.0014294], [0.001443], [0.0014335], [0.0014399], [7], [10]], "benchmarks.PrettySuite.time_pretty_justify_center": [[0.001413072935974924], [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646929234361, 0.44625, [0.0014102], [0.0014161], [0.0014126], [0.0014138], [8], [10]], "benchmarks.StyleSuite.time_parse_ansi": [[1.1426199489369653e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646929234584, 0.45567, [1.1395e-07], [1.1463e-07], [1.1411e-07], [1.1435e-07], [96082], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1404432550273319e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646929234812, 0.45332, [1.1366e-07], [1.1486e-07], [1.1374e-07], [1.1425e-07], [95430], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1468818071279227e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646929235039, 0.45144, [1.1433e-07], [1.1506e-07], [1.1449e-07], [1.1491e-07], [94481], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646929229043, 0.061706], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646929229105, 0.061324], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646929229166, 0.06131], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.00323098437365843], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646929235266, 0.47115, [0.0032173], [0.0032577], [0.0032226], [0.0032412], [4], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0021215916989604008], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646929235501, 0.44386, [0.0021095], [0.002137], [0.0021168], [0.002129], [5], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006635260624534567], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646929235728, 0.43906, [0.00066063], [0.0006681], [0.00066311], [0.00066378], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005477850783407982], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646929235950, 0.44418, [0.00054434], [0.00055449], [0.00054663], [0.00055233], [19], [10]], "benchmarks.TextSuite.time_divide": [[2.801200657574411e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646929236172, 0.44711, [2.7945e-05], [2.8138e-05], [2.7973e-05], [2.8079e-05], [380], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018690168457269145], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646929236395, 0.44602, [0.00018657], [0.00018746], [0.00018683], [0.00018709], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.236125003080815e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646929236619, 0.44515, [4.1896e-05], [4.2414e-05], [4.2156e-05], [4.2394e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003301585966255516], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646929236841, 0.4353, [0.0003288], [0.00033281], [0.00033], [0.00033109], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [[0.00039432613490274747], [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646929237057, 0.43632, [0.00039179], [0.00039679], [0.00039239], [0.00039479], [26], [10]], "benchmarks.TextSuite.time_render": [[4.6828673070957585e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646929237274, 0.44713, [4.661e-06], [4.7966e-06], [4.6677e-06], [4.7109e-06], [2325], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.527165350749884e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646929237500, 0.44899, [8.4478e-05], [8.581e-05], [8.4744e-05], [8.5611e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.387963712861341e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646929237727, 0.4434, [3.3643e-05], [3.4116e-05], [3.3667e-05], [3.4045e-05], [310], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00027967287845771154], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646929237947, 0.43841, [0.00027815], [0.00028148], [0.00027903], [0.00028058], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011510138897897883], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646929238165, 0.44243, [0.0011488], [0.0011523], [0.0011499], [0.0011518], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015299910696090332], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646929238384, 0.44516, [0.001525], [0.0015332], [0.0015289], [0.0015324], [7], [10]]}, "durations": {"": 1.9623157978057861}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/ef80460f-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/ef80460f-virtualenv-py3.10.json new file mode 100644 index 0000000000..9c858e5154 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/ef80460f-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "ef80460f7fe69ae3342acdd04bf1d7c6154905cb", "env_name": "virtualenv-py3.10", "date": 1592140940000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [null, [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928515406, 0.059341], "benchmarks.ColorSuite.time_downgrade_to_standard": [null, [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928515466, 0.059205], "benchmarks.ColorSuite.time_downgrade_to_windows": [null, [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928515525, 0.057818], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [null, [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928515583, 0.058271], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [null, [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928515641, 0.0582], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [null, [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928515699, 0.058722], "benchmarks.PrettySuite.time_pretty": [null, [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928515758, 0.057699], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928515816, 0.05776], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928515874, 0.058446], "benchmarks.StyleSuite.time_parse_ansi": [null, [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928515932, 0.060185], "benchmarks.StyleSuite.time_parse_hex": [null, [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928515993, 0.059158], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [null, [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928516052, 0.060717], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928516113, 0.060003], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928516173, 0.058038], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928516231, 0.058081], "benchmarks.TableSuite.time_table_heavy_wrapping": [null, [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928516289, 0.058367], "benchmarks.TableSuite.time_table_no_wrapping": [null, [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928516347, 0.058493], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928516406, 0.058488], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928516464, 0.058101], "benchmarks.TextSuite.time_divide": [null, [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928516523, 0.057833], "benchmarks.TextSuite.time_divide_unicode_heavy": [null, [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928516581, 0.057799], "benchmarks.TextSuite.time_fit": [null, [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928516638, 0.058149], "benchmarks.TextSuite.time_fit_unicode_heavy": [null, [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928516697, 0.057886], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928516755, 0.05764], "benchmarks.TextSuite.time_render": [null, [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928516812, 0.057862], "benchmarks.TextSuite.time_render_unicode_heavy": [null, [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928516870, 0.058314], "benchmarks.TextSuite.time_split": [null, [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928516929, 0.058227], "benchmarks.TextSuite.time_split_unicode_heavy": [null, [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928516987, 0.057643], "benchmarks.TextSuite.time_wrapping": [null, [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928517045, 0.057652], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [null, [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928517102, 0.058088]}, "durations": {"": 1.9598910808563232}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/f2af8c9d-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/f2af8c9d-virtualenv-py3.10.json new file mode 100644 index 0000000000..b347b64ee5 --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/f2af8c9d-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "f2af8c9d54e9ebc14b32fe68ddaefd01b7e5a801", "env_name": "virtualenv-py3.10", "date": 1593189870000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7090032611931194e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928581804, 0.45125, [1.6925e-07], [1.737e-07], [1.7003e-07], [1.7229e-07], [64370], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7179477414374248e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928582031, 0.42397, [1.692e-07], [1.7388e-07], [1.7029e-07], [1.7347e-07], [59074], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.7208939259779103e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928582243, 0.44191, [1.7011e-07], [1.7798e-07], [1.7066e-07], [1.7366e-07], [64474], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7239909444505348e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928582459, 0.45005, [1.7032e-07], [1.7427e-07], [1.7127e-07], [1.7388e-07], [64149], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.70657668752433e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928582684, 0.43995, [1.695e-07], [1.7556e-07], [1.7003e-07], [1.7379e-07], [64588], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.734254661392709e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928582908, 0.42643, [1.723e-07], [1.7588e-07], [1.7309e-07], [1.7398e-07], [58470], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002222458299365826], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928583119, 0.43708, [0.0021951], [0.0022573], [0.0021987], [0.0022453], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928578060, 0.058079], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928578118, 0.057923], "benchmarks.StyleSuite.time_parse_ansi": [[1.1513858785141599e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928583333, 0.43617, [1.1404e-07], [1.1633e-07], [1.1435e-07], [1.1599e-07], [95564], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.1389109408082052e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928583555, 0.44783, [1.1341e-07], [1.1419e-07], [1.137e-07], [1.1401e-07], [96441], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.1519537423832971e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928583779, 0.45007, [1.1382e-07], [1.1617e-07], [1.1453e-07], [1.16e-07], [96177], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928578838, 0.057826], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928578896, 0.057477], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928578954, 0.057369], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.0020461542007979006], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928584006, 0.42367, [0.0020262], [0.0020663], [0.0020273], [0.0020609], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0014474494299585266], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928584221, 0.42346, [0.0014278], [0.0014642], [0.0014312], [0.0014614], [7], [10]], "benchmarks.TextSuite.time_align_center": [null, [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928579431, 0.058086], "benchmarks.TextSuite.time_align_center_unicode_heavy": [null, [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928579489, 0.058209], "benchmarks.TextSuite.time_divide": [[2.8270778226057495e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928584434, 0.44278, [2.8239e-05], [2.8318e-05], [2.8254e-05], [2.8294e-05], [381], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00019030226317945083], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928584655, 0.44236, [0.00018943], [0.00019048], [0.00019006], [0.0001904], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.197533399565145e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928584876, 0.43825, [4.1857e-05], [4.2052e-05], [4.1951e-05], [4.202e-05], [250], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003304659242558321], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928585094, 0.44625, [0.00032819], [0.00033206], [0.00032901], [0.0003318], [33], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928580435, 0.058736], "benchmarks.TextSuite.time_render": [[4.689809716245229e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928585317, 0.44093, [4.6839e-06], [4.7022e-06], [4.6889e-06], [4.6939e-06], [2336], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.54896653744238e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928585542, 0.44084, [8.4727e-05], [8.5865e-05], [8.5157e-05], [8.5817e-05], [127], [10]], "benchmarks.TextSuite.time_split": [[3.415601445179301e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928585763, 0.43741, [3.377e-05], [3.4525e-05], [3.3842e-05], [3.4403e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.0002846767971720043], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928585980, 0.4332, [0.00027899], [0.00029414], [0.00028309], [0.00028554], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011558448911980828], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928586195, 0.43605, [0.001148], [0.0011654], [0.0011495], [0.0011592], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015459464297496845], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928586412, 0.4395, [0.0015209], [0.001555], [0.0015443], [0.0015473], [7], [10]]}, "durations": {"": 1.9649710655212402}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/f84d5dee-virtualenv-py3.10.json b/benchmarks/results/darrenburns-2022-mbp/f84d5dee-virtualenv-py3.10.json new file mode 100644 index 0000000000..9a764ff25f --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/f84d5dee-virtualenv-py3.10.json @@ -0,0 +1 @@ +{"commit_hash": "f84d5dee6ad9bc57a8c67ded51c1ecd03677e65f", "env_name": "virtualenv-py3.10", "date": 1594567562000, "params": {"arch": "arm64", "cpu": "Apple M1 Pro", "machine": "darrenburns-2022-mbp", "num_cpu": "10", "os": "Darwin 21.2.0", "ram": "17179869184", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"benchmarks.ColorSuite.time_downgrade_to_eight_bit": [[1.7308245811986438e-07], [], "019b972f782c6291df9a6a4dea9bb3c6268a69b177e71383d6e19a608e84920d", 1646928688709, 0.42495, [1.7163e-07], [1.7365e-07], [1.7253e-07], [1.736e-07], [58836], [10]], "benchmarks.ColorSuite.time_downgrade_to_standard": [[1.7283182735333509e-07], [], "f5e8556491c977450fff6ebfd9fff4fc8f12d74829aa5b8570bd27ea7a1c9d28", 1646928688920, 0.42508, [1.7195e-07], [1.7396e-07], [1.7243e-07], [1.736e-07], [58984], [10]], "benchmarks.ColorSuite.time_downgrade_to_windows": [[1.736048608512918e-07], [], "373eb97dd7ce2823e080972249235f528e8b3a47210911981cf432ecf0eef5fb", 1646928689131, 0.4312, [1.7268e-07], [1.745e-07], [1.7343e-07], [1.7372e-07], [64495], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_eight_bit": [[1.7323692227504577e-07], [], "716ff06a471a5d90af3730f6d4470eba3577432d781e0210dff1fd156b8c549c", 1646928689346, 0.42883, [1.7185e-07], [1.7397e-07], [1.7286e-07], [1.7349e-07], [59222], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_standard": [[1.7355385467604052e-07], [], "3a752a7884e99e095c31b2a28cfefdf916cb2033c06afae1ea146a72f3ba650c", 1646928689560, 0.42434, [1.7258e-07], [1.7408e-07], [1.7319e-07], [1.7371e-07], [58463], [10]], "benchmarks.ColorSuiteCached.time_downgrade_to_windows": [[1.715436641188842e-07], [], "1732bbd18ada49eb7b054fc18b40d6acfb533023463366f37203dab6fbb0cc20", 1646928689771, 0.43156, [1.6853e-07], [1.7437e-07], [1.6926e-07], [1.7389e-07], [58160], [10]], "benchmarks.PrettySuite.time_pretty": [[0.002244716600398533], [], "9bb0e6d8a29aad21b3d1b550a160fa5f1e9030c69d16bad500c0dcc77bff6d01", 1646928689989, 0.44204, [0.0022307], [0.0022562], [0.002235], [0.0022495], [5], [10]], "benchmarks.PrettySuite.time_pretty_indent_guides": [null, [], "8d71bf19dfe999b0fba95d009986bfd6911c53c7a0c455466725f553005c3bc7", 1646928684657, 0.058707], "benchmarks.PrettySuite.time_pretty_justify_center": [null, [], "54cbf71bacab14ccbe1d063847c0b89198ed1bbe06edc89c14d2e3c7b1986c41", 1646928684715, 0.058484], "benchmarks.StyleSuite.time_parse_ansi": [[1.1733243976283779e-07], [], "a003aaa8017585efeb1cd9c43351282df4df6249bf28a4c447b1304d984aa753", 1646928690208, 0.42793, [1.1623e-07], [1.1849e-07], [1.1628e-07], [1.1839e-07], [87661], [10]], "benchmarks.StyleSuite.time_parse_hex": [[1.156367285738817e-07], [], "cf5a3f0def435d3da5bc3a6e7549c44c0a02e9cce6c00ecde8dd7f527556f8ca", 1646928690423, 0.42339, [1.1408e-07], [1.1679e-07], [1.1448e-07], [1.158e-07], [87703], [10]], "benchmarks.StyleSuite.time_parse_mixed_complex_style": [[1.140869263406167e-07], [], "01c9e12ae829b1984e55a5aeef1a9ae6f1461577adaf5ae59f06358c8b52802f", 1646928690636, 0.44843, [1.1369e-07], [1.1458e-07], [1.1383e-07], [1.1421e-07], [96087], [10]], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_heavy_wrapping": [null, [], "1ed4d74ea424990cfb40c96f07635f9bcf7b8bacc7ade5204aaf96363e1622ee", 1646928685422, 0.05832], "benchmarks.SyntaxWrappingSuite.time_text_thin_terminal_medium_wrapping": [null, [], "0880e162a4907ee025cef8ac3380502554fde27fd0c90a4c15cebc9c27f3e333", 1646928685480, 0.057904], "benchmarks.SyntaxWrappingSuite.time_text_wide_terminal_no_wrapping": [null, [], "feb11e94ae6a75de2dee899fb93db098b55cde232710660d7d66f9e2b288d9c0", 1646928685538, 0.058164], "benchmarks.TableSuite.time_table_heavy_wrapping": [[0.002110837498912588], [], "ca515a9739c1e0f8eb922420f9f9caf27321fb13c8bd0bc49b207a0588b370de", 1646928690861, 0.43483, [0.0020988], [0.0021232], [0.0021039], [0.0021191], [5], [10]], "benchmarks.TableSuite.time_table_no_wrapping": [[0.0015061160707513668], [], "8842a5f141d8208ba2bab66e4973e978cb5d0615f326af5d70385ff8fa44b3b9", 1646928691080, 0.4351, [0.0014983], [0.0015589], [0.0015026], [0.001546], [7], [10]], "benchmarks.TextSuite.time_align_center": [[0.0006713476559525589], [], "1ceeeef2de43fcb3d0dfec409972d8f0eb791e9615fa9f9c959e0423725b089b", 1646928691301, 0.43813, [0.00066814], [0.00067522], [0.00067029], [0.00067237], [16], [10]], "benchmarks.TextSuite.time_align_center_unicode_heavy": [[0.0005598946946621356], [], "a83ff79614dd2ae17e8b68f45981fcaa0d9833c59a7a14f171b896cf970f54ce", 1646928691524, 0.427, [0.00055817], [0.00056303], [0.0005592], [0.00056025], [18], [10]], "benchmarks.TextSuite.time_divide": [[2.8021105220420404e-05], [], "dcc120b921cb2ec77632f8fe2f6f4150d479cb49ef2608f8e86b569a937756e9", 1646928691735, 0.44378, [2.7666e-05], [2.8357e-05], [2.7709e-05], [2.8332e-05], [385], [10]], "benchmarks.TextSuite.time_divide_unicode_heavy": [[0.00018865752632304895], [], "ea53e662c0553324f90ac3336dcee77f733bb33638888e1f84bf71945a2f3f8e", 1646928691958, 0.44155, [0.00018633], [0.0001911], [0.00018676], [0.00019085], [57], [10]], "benchmarks.TextSuite.time_fit": [[4.2210779327669215e-05], [], "ec77b412db357b1e1c1e7bc620b941dddfc36dc76d2a66a0417feae4f21fe1d3", 1646928692180, 0.43567, [4.2056e-05], [4.247e-05], [4.211e-05], [4.2259e-05], [247], [10]], "benchmarks.TextSuite.time_fit_unicode_heavy": [[0.0003338414028422126], [], "d1574b4af2ef8b80b95b4dbeeb13e5de67b66783f76f9968834776239dd0dc66", 1646928692397, 0.43078, [0.00032913], [0.00033781], [0.00033063], [0.00033694], [31], [10]], "benchmarks.TextSuite.time_indent_guides": [null, [], "18da036dcfc15ec5e3c11e72be7c8f0c22fba695a5f19c95836be36952376cf2", 1646928687337, 0.058208], "benchmarks.TextSuite.time_render": [[4.675831319804382e-06], [], "907d30581cfdc7bb2c4d302b7e3cb474aaefd8b84821365fe105af7d82be3b09", 1646928692609, 0.44535, [4.6576e-06], [4.6958e-06], [4.671e-06], [4.6811e-06], [2321], [10]], "benchmarks.TextSuite.time_render_unicode_heavy": [[8.689120084019456e-05], [], "b3f1c09dfd06f412a20dacfe378c3b446727c7d4f9a975336eab3daa8543e1cb", 1646928692832, 0.42073, [8.621e-05], [8.7267e-05], [8.6719e-05], [8.6998e-05], [117], [10]], "benchmarks.TextSuite.time_split": [[3.4412112531710386e-05], [], "9c165854130cb95fea5491ffcd8b580a5bd373149da2ef8aace0e9480f649854", 1646928693042, 0.44146, [3.4288e-05], [3.4483e-05], [3.4334e-05], [3.4456e-05], [311], [10]], "benchmarks.TextSuite.time_split_unicode_heavy": [[0.00028140595964646926], [], "d55b02f6d06f478d70635bac3409f3a9899137d9cee87a70a293b8ccf5a6afa4", 1646928693261, 0.4316, [0.00027816], [0.00028493], [0.00027863], [0.00028367], [37], [10]], "benchmarks.TextSuite.time_wrapping": [[0.0011629745551747167], [], "8c821eba13d043f228fd902d8f678c397741855db05d02abe9b82f3d65cdf03d", 1646928693475, 0.43828, [0.0011575], [0.0011677], [0.0011586], [0.001166], [9], [10]], "benchmarks.TextSuite.time_wrapping_unicode_heavy": [[0.0015502648581917], [], "ec6e2ef08b6cdee182fef4e26c0043f8c365984f9a31be07dbd792e1aed862d8", 1646928693693, 0.44103, [0.0015466], [0.0015531], [0.0015491], [0.0015513], [7], [10]]}, "durations": {"": 1.960265874862671}, "version": 2} diff --git a/benchmarks/results/darrenburns-2022-mbp/machine.json b/benchmarks/results/darrenburns-2022-mbp/machine.json new file mode 100644 index 0000000000..f507dfb9db --- /dev/null +++ b/benchmarks/results/darrenburns-2022-mbp/machine.json @@ -0,0 +1,9 @@ +{ + "arch": "arm64", + "cpu": "Apple M1 Pro", + "machine": "darrenburns-2022-mbp", + "num_cpu": "10", + "os": "Darwin 21.2.0", + "ram": "17179869184", + "version": 1 +} diff --git a/benchmarks/snippets.py b/benchmarks/snippets.py new file mode 100644 index 0000000000..ef72dbcff9 --- /dev/null +++ b/benchmarks/snippets.py @@ -0,0 +1,173 @@ +PYTHON_SNIPPET = ''' +def layout_resolve(total: int, edges: Sequence[EdgeProtocol]) -> List[int]: + """Divide total space to satisfy size, fraction, and min_size, constraints. + + The returned list of integers should add up to total in most cases, unless it is + impossible to satisfy all the constraints. For instance, if there are two edges + with a minimum size of 20 each and `total` is 30 then the returned list will be + greater than total. In practice, this would mean that a Layout object would + clip the rows that would overflow the screen height. + + Args: + total (int): Total number of characters. + edges (Sequence[Edge]): Edges within total space. + + Returns: + list[int]: Number of characters for each edge. + """ + # Size of edge or None for yet to be determined + sizes = [(edge.size or None) for edge in edges] + + if None not in sizes: + # No flexible edges + return cast("list[int]", sizes) + + # Get flexible edges and index to map these back on to sizes list + flexible_edges = [ + (index, edge) + for index, (size, edge) in enumerate(zip(sizes, edges)) + if size is None + ] + # Remaining space in total + remaining = total - sum([size or 0 for size in sizes]) + if remaining <= 0: + # No room for flexible edges + return [ + ((edge.min_size or 1) if size is None else size) + for size, edge in zip(sizes, edges) + ] + + # Get the total fraction value for all flexible edges + total_flexible = sum([(edge.fraction or 1) for _, edge in flexible_edges]) + while flexible_edges: + # Calculate number of characters in a ratio portion + portion = Fraction(remaining, total_flexible) + + # If any edges will be less than their minimum, replace size with the minimum + for flexible_index, (index, edge) in enumerate(flexible_edges): + if portion * edge.fraction < edge.min_size: + # This flexible edge will be smaller than its minimum size + # We need to fix the size and redistribute the outstanding space + sizes[index] = edge.min_size + remaining -= edge.min_size + total_flexible -= edge.fraction or 1 + del flexible_edges[flexible_index] + # New fixed size will invalidate calculations, so we need to repeat the process + break + else: + # Distribute flexible space and compensate for rounding error + # Since edge sizes can only be integers we need to add the remainder + # to the following line + remainder = Fraction(0) + for index, edge in flexible_edges: + sizes[index], remainder = divmod(portion * edge.fraction + remainder, 1) + break + + # Sizes now contains integers only + return cast("list[int]", sizes) +''' + +PYTHON_DICT = { + "glossary": { + "title": "example glossary", + "GlossDiv": { + "title": "S", + "GlossList": { + "GlossEntry": { + "ID": "SGML", + "SortAs": "SGML", + "GlossTerm": "Standard Generalized Markup Language", + "Acronym": "SGML", + "Abbrev": "ISO 8879:1986", + "GlossDef": { + "para": "A meta-markup language, used to create markup languages such as DocBook.", + "GlossSeeAlso": ["GML", "XML"], + }, + "GlossSee": "markup", + } + }, + }, + } +} + +LOREM_IPSUM = """ +Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Laoreet id donec ultrices tincidunt arcu. Eu facilisis sed odio morbi quis commodo odio aenean sed. Amet cursus sit amet dictum. Gravida rutrum quisque non tellus. Semper auctor neque vitae tempus quam pellentesque nec nam. Mauris sit amet massa vitae tortor condimentum lacinia quis. Adipiscing elit ut aliquam purus sit amet luctus venenatis lectus. Consectetur adipiscing elit ut aliquam purus sit amet. Sit amet mauris commodo quis imperdiet massa tincidunt nunc pulvinar. Dui faucibus in ornare quam viverra. Et netus et malesuada fames ac turpis. A lacus vestibulum sed arcu non odio euismod. In massa tempor nec feugiat nisl pretium fusce. + +Tellus in hac habitasse platea dictumst vestibulum. Feugiat nibh sed pulvinar proin. In cursus turpis massa tincidunt dui ut. Fermentum posuere urna nec tincidunt praesent semper feugiat. Interdum consectetur libero id faucibus. Habitant morbi tristique senectus et netus et malesuada fames ac. Facilisis leo vel fringilla est ullamcorper eget nulla facilisi. Aliquam faucibus purus in massa tempor. Tellus pellentesque eu tincidunt tortor aliquam nulla. Sem et tortor consequat id porta nibh. Massa id neque aliquam vestibulum morbi blandit cursus risus. Ut placerat orci nulla pellentesque dignissim enim. Nibh tellus molestie nunc non blandit massa enim nec dui. Ipsum a arcu cursus vitae congue mauris rhoncus aenean vel. Egestas congue quisque egestas diam in. + +Pulvinar mattis nunc sed blandit libero volutpat sed. Accumsan in nisl nisi scelerisque eu. Eget aliquet nibh praesent tristique. Ipsum suspendisse ultrices gravida dictum fusce ut. Non sodales neque sodales ut etiam sit amet. Velit egestas dui id ornare. Massa ultricies mi quis hendrerit dolor magna. Id volutpat lacus laoreet non curabitur gravida arcu. Nulla facilisi cras fermentum odio eu feugiat pretium. Sed vulputate odio ut enim blandit volutpat. Amet massa vitae tortor condimentum lacinia. Tellus integer feugiat scelerisque varius. Quam nulla porttitor massa id. Facilisi cras fermentum odio eu feugiat pretium nibh ipsum. Eget nunc scelerisque viverra mauris in aliquam sem fringilla. Amet nulla facilisi morbi tempus iaculis urna id volutpat lacus. Facilisi etiam dignissim diam quis enim lobortis. + +Nullam vehicula ipsum a arcu cursus vitae congue mauris rhoncus. Ullamcorper a lacus vestibulum sed arcu non. Suscipit adipiscing bibendum est ultricies integer quis auctor elit. Integer feugiat scelerisque varius morbi enim. Posuere urna nec tincidunt praesent semper feugiat nibh sed pulvinar. Lobortis feugiat vivamus at augue eget. Rhoncus dolor purus non enim praesent. Mi in nulla posuere sollicitudin aliquam ultrices sagittis orci. Mollis aliquam ut porttitor leo. Id cursus metus aliquam eleifend mi in nulla. Integer eget aliquet nibh praesent tristique magna sit amet. Egestas maecenas pharetra convallis posuere morbi. + +Blandit massa enim nec dui. Suscipit tellus mauris a diam maecenas. Sed id semper risus in. Purus faucibus ornare suspendisse sed nisi lacus. At in tellus integer feugiat. Egestas diam in arcu cursus euismod quis viverra nibh cras. Enim tortor at auctor urna nunc id. Tristique nulla aliquet enim tortor at auctor urna nunc id. Purus gravida quis blandit turpis cursus in hac habitasse platea. Ac turpis egestas integer eget. Tortor at auctor urna nunc. Neque aliquam vestibulum morbi blandit cursus. Massa tempor nec feugiat nisl pretium fusce id velit. Interdum consectetur libero id faucibus nisl tincidunt. Adipiscing diam donec adipiscing tristique risus nec feugiat in. Egestas integer eget aliquet nibh praesent tristique magna sit. +""" + +UNICODE_HEAVY_TEXT = """ +Richは、 _リッチ_ なテキストや美しい書式設定をターミナルで行うためのPythonライブラリです。 + +[Rich API](https://rich.readthedocs.io/en/latest/)を使用すると、ターミナルの出力に色やスタイルを簡単に追加することができます。 Richはきれいなテーブル、プログレスバー、マークダウン、シンタックスハイライトされたソースコード、トレースバックなどをすぐに生成・表示することもできます。 + +![機能](https://github.com/willmcgugan/rich/raw/master/imgs/features.png) + +Richの紹介動画はこちらをご覧ください。 [calmcode.io](https://calmcode.io/rich/introduction.html) by [@fishnets88](https://twitter.com/fishnets88). + +[Richについての人々の感想を見る。](https://www.willmcgugan.com/blog/pages/post/rich-tweets/) + +## 互換性 + +RichはLinux、OSX、Windowsに対応しています。True colorと絵文字は新しい Windows ターミナルで動作しますが、古いターミナルでは8色に制限されています。Richを使用するにはPythonのバージョンは3.6.3以降が必要です。 + +Richは追加の設定を行わずとも、[Jupyter notebooks](https://jupyter.org/)で動作します。 + +## インストール + +`pip` や、あなたのお気に入りのPyPIパッケージマネージャを使ってインストールしてください。 + +```sh +python -m pip install rich +``` + +以下のコマンドを実行して、ターミナルでリッチの出力をテストできます: + +```sh +python -m rich +``` + +## Richのprint関数 + +簡単にリッチな出力をアプリケーションに追加するには、Pythonの組み込み関数と同じ名前を持つ [rich print](https://rich.readthedocs.io/en/latest/introduction.html#quick-start) メソッドをインポートすることで実現できます。こちらを試してみてください: + +```python +from rich import print + +print("Hello, [bold magenta]World[/bold magenta]!", ":vampire:", locals()) +``` + +![Hello World](https://github.com/willmcgugan/rich/raw/master/imgs/print.png) + +## Rich REPL + +RichはPythonのREPLでインストールすることができ、データ構造がきれいに表示され、ハイライトされます。 + +```python +>>> from rich import pretty +>>> pretty.install() +``` + +![REPL](https://github.com/willmcgugan/rich/raw/master/imgs/repl.png) + +## Rich Inspect + +RichにはPythonオブジェクトやクラス、インスタンス、組み込み関数などに関するレポートを作成することができる、[inspect関数](https://rich.readthedocs.io/en/latest/reference/init.html?highlight=inspect#rich.inspect)があります。 + +の使い方 + +リッチなターミナルコンテンツをより制御していくには、[Console](https://rich.readthedocs.io/en/latest/reference/console.html#rich.console.Console) オブジェクトをインポートして構築していきます。 + +Console オブジェクトには `print` メソッドがあり、これは組み込み関数の `print` と意図的に似たインターフェイスを持っています。 +以下に使用例を示します: + +あなたが予想した通り、これは `"Hello World!"` をターミナルに表示します。組み込み関数の `print` とは異なり、Rich はターミナルの幅に合わせてテキストをワードラップすることに注意してください。 + +出力結果に色やスタイルを追加する方法はいくつかあります。キーワード引数に `style` を追加することで、出力結果全体のスタイルを設定することができます。以下に例を示します: +""" diff --git a/docs/images/svg_export.svg b/docs/images/svg_export.svg new file mode 100644 index 0000000000..91c5efa3e9 --- /dev/null +++ b/docs/images/svg_export.svg @@ -0,0 +1,817 @@ + + + + +
+
+
+ + + + + +
Rich can export to SVG
+
+
+
Rich features
+
+
Colors ✓ 4-bit color ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄
+
✓ 8-bit color ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄
+
✓ Truecolor (16.7 million) ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄
+
✓ Dumb terminals ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄
+
✓ Automatic color conversion ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄
+
+
Styles All ansi styles: bold, dim, italic, underline, strikethrough, reverse, and even blink.
+
+
Text Word wrap text. Justify left, center, right or full.
+
+
Lorem ipsum dolor sit amet, Lorem ipsum dolor sit amet, Lorem ipsum dolor sit amet, Lorem ipsum dolor sit amet,
+
consectetur adipiscing elit. Quisque consectetur adipiscing elit. Quisque consectetur adipiscing elit. Quisque consectetur adipiscing elit. Quisque
+
in metus sed sapien ultricies pretium in metus sed sapien ultricies pretium in metus sed sapien ultricies in metus sed sapien ultricies pretium
+
a at justo. Maecenas luctus velit et a at justo. Maecenas luctus velit et pretium a at justo. Maecenas luctus a at justo. Maecenas luctus velit et
+
auctor maximus. auctor maximus. velit et auctor maximus. auctor maximus.
+
+
Asian 🇨🇳 该库支持中文，日文和韩文文本！
+
language 🇯🇵 ライブラリは中国語、日本語、韓国語のテキストをサポートしています
+
support 🇰🇷 이 라이브러리는 중국어, 일본어 및 한국어 텍스트를 지원합니다
+
+
Markup Rich supports a simple bbcode-like markup for color, style, and emoji! 👍 🍎 🐜 🐻 🥖 🚌
+
+
Tables Date Title Production Budget Box Office
+
─────────────────────────────────────────────────────────────────────────────────────────
+
Dec 20, 2019 Star Wars: The Rise of Skywalker $275,000,000 $375,126,118
+
May 25, 2018 Solo: A Star Wars Story $275,000,000 $393,151,347
+
Dec 15, 2017 Star Wars Ep. VIII: The Last Jedi $262,000,000 $1,332,539,889
+
May 19, 1999 Star Wars Ep. I: The phantom Menace $115,000,000 $1,027,044,677
+
+
Syntax 1 def iter_last(values: Iterable[T]) -> Iterable[Tuple[bool, T]]: {
+
highlighting 2 │ """Iterate and generate a tuple with a flag for last value.""" │ 'foo': [
+
& 3 │ iter_values = iter(values) │ │ 3.1427,
+
pretty 4 │ try: │ │ ('Paul Atreides', 'Vladimir Harkonnen', 'Thufir Hawat')
+
printing 5 │ │ previous_value = next(iter_values) │ ],
+
6 │ except StopIteration: │ 'atomic': (False, True, None)
+
7 │ │ return }
+
8 │ for value in iter_values:
+
9 │ │ yield False, previous_value
+
10 │ │ previous_value = value
+
11 │ yield True, previous_value
+
+
Markdown # Markdown ╔════════════════════════════════════════════════════════════════════════╗
+
║ Markdown ║
+
Supports much of the *markdown* __syntax__! ╚════════════════════════════════════════════════════════════════════════╝
+
+
- Headers Supports much of the markdown syntax!
+
- Basic formatting: **bold**, *italic*, `code`
+
- Block quotes • Headers
+
- Lists, and more... • Basic formatting: bold, italic, code
+
• Block quotes
+
• Lists, and more...
+
+
+more! Progress bars, columns, styled logging handler, tracebacks, etc...
+
+
+
+
+
+ + + diff --git a/docs/requirements.txt b/docs/requirements.txt index 849854779e..6688094b2e 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -1,4 +1,4 @@ alabaster==0.7.12 -Sphinx==4.4.0 +Sphinx==4.5.0 sphinx-rtd-theme==1.0.0 -sphinx-copybutton==0.4.0 +sphinx-copybutton==0.5.0 diff --git a/docs/source/conf.py b/docs/source/conf.py index 34258eb496..ca01323c0a 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -70,3 +70,5 @@ html_static_path = ["_static"] intersphinx_mapping = {"python": ("http://docs.python.org/3", None)} + +autodoc_typehints = "description" diff --git a/docs/source/console.rst b/docs/source/console.rst index ed4b6c46f7..ba4ba2180a 100644 --- a/docs/source/console.rst +++ b/docs/source/console.rst @@ -249,15 +249,37 @@ If Python's builtin :mod:`readline` module is previously loaded, elaborate line Exporting --------- -The Console class can export anything written to it as either text or html. To enable exporting, first set ``record=True`` on the constructor. This tells Rich to save a copy of any data you ``print()`` or ``log()``. Here's an example:: +The Console class can export anything written to it as either text, svg, or html. To enable exporting, first set ``record=True`` on the constructor. This tells Rich to save a copy of any data you ``print()`` or ``log()``. Here's an example:: from rich.console import Console console = Console(record=True) -After you have written content, you can call :meth:`~rich.console.Console.export_text` or :meth:`~rich.console.Console.export_html` to get the console output as a string. You can also call :meth:`~rich.console.Console.save_text` or :meth:`~rich.console.Console.save_html` to write the contents directly to disk. +After you have written content, you can call :meth:`~rich.console.Console.export_text`, :meth:`~rich.console.Console.export_svg` or :meth:`~rich.console.Console.export_html` to get the console output as a string. You can also call :meth:`~rich.console.Console.save_text`, :meth:`~rich.console.Console.save_svg`, or :meth:`~rich.console.Console.save_html` to write the contents directly to disk. For examples of the html output generated by Rich Console, see :ref:`appendix-colors`. +Exporting SVGs +^^^^^^^^^^^^^^ + +When using :meth:`~rich.console.Console.export_svg` or :meth:`~rich.console.Console.save_svg`, the width of the SVG will match the width of your terminal window (in terms of characters), while the height will scale automatically to accommodate the console output. + +You can open the SVG in a web browser. You can also insert it in to a webpage with an ```` tag or by copying the markup in to your HTML. + +The image below shows an example of an SVG exported by Rich. + +.. image:: ../images/svg_export.svg + +You can customize the theme used during SVG export by importing the desired theme from the :mod:`rich.terminal_theme` module and passing it to :meth:`~rich.console.Console.export_svg` or :meth:`~rich.console.Console.save_svg` via the ``theme`` parameter:: + + + from rich.console import Console + from rich.terminal_theme import MONOKAI + + console = Console(record=True) + console.save_svg("example.svg", theme=MONOKAI) + +Alternatively, you can create a them of your own by constructing a :class:`rich.terminal_theme.TerminalTheme` instance yourself and passing that in. + Error console ------------- @@ -273,7 +295,7 @@ You might also want to set the ``style`` parameter on the Console to make error File output ----------- -You can also tell the Console object to write to a file by setting the ``file`` argument on the constructor -- which should be a file-like object opened for writing text. You could use this to write to a file without the output ever appearing on the terminal. Here's an example:: +You can tell the Console object to write to a file by setting the ``file`` argument on the constructor -- which should be a file-like object opened for writing text. You could use this to write to a file without the output ever appearing on the terminal. Here's an example:: import sys from rich.console import Console @@ -283,7 +305,7 @@ You can also tell the Console object to write to a file by setting the ``file`` console = Console(file=report_file) console.rule(f"Report Generated {datetime.now().ctime()}") -Note that when writing to a file you may want to explicitly the ``width`` argument if you don't want to wrap the output to the current console width. +Note that when writing to a file you may want to explicitly set the ``width`` argument if you don't want to wrap the output to the current console width. Capturing output ---------------- @@ -381,7 +403,7 @@ If Rich detects that it is not writing to a terminal it will strip control codes Letting Rich auto-detect terminals is useful as it will write plain text when you pipe output to a file or other application. Interactive mode -~~~~~~~~~~~~~~~~ +---------------- Rich will remove animations such as progress bars and status indicators when not writing to a terminal as you probably don't want to write these out to a text file (for example). You can override this behavior by setting the ``force_interactive`` argument on the constructor. Set it to True to enable animations or False to disable them. diff --git a/docs/source/highlighting.rst b/docs/source/highlighting.rst index 03993190c9..34274d9774 100644 --- a/docs/source/highlighting.rst +++ b/docs/source/highlighting.rst @@ -1,3 +1,5 @@ +.. _highlighting: + Highlighting ============ diff --git a/docs/source/introduction.rst b/docs/source/introduction.rst index 57d19154b5..f8067bf0c3 100644 --- a/docs/source/introduction.rst +++ b/docs/source/introduction.rst @@ -1,7 +1,7 @@ Introduction ============ -Rich is a Python library for writing *rich* text (with color and style) to the terminal, and for displaying advanced content such as tables, markdown, and syntax highlighted code. +Rich is a Python library for writing *rich* text (with color and style) to the terminal, and for displaying advanced content such as tables, markdown, and syntax highlighted code. Use Rich to make your command line applications visually appealing and present data in a more readable way. Rich can also be a useful debugging aid by pretty printing and syntax highlighting data structures. @@ -12,7 +12,7 @@ Rich works with OSX, Linux and Windows. On Windows both the (ancient) cmd.exe terminal is supported and the new `Windows Terminal `_. The latter has much improved support for color and style. -Rich requires Python 3.6.1 and above. Note that Python 3.6.0 is *not* supported due to lack of support for methods on NamedTuples. +Rich requires Python 3.6.3 and above. Note that Python 3.6.0 is *not* supported due to lack of support for methods on NamedTuples. .. note:: PyCharm users will need to enable "emulate terminal" in output console option in run/debug configuration to see styled output. @@ -38,7 +38,7 @@ The quickest way to get up and running with Rich is to import the alternative `` from rich import print -You can then print strings or objects to the terminal in the usual way. Rich will do some basic syntax highlighting and format data structures to make them easier to read. +You can then print strings or objects to the terminal in the usual way. Rich will do some basic syntax :ref:`highlighting` and format data structures to make them easier to read. Strings may contain :ref:`console_markup` which can be used to insert color and styles in to the output. @@ -50,7 +50,7 @@ This writes the following output to the terminal (including all the colors and s .. raw:: html - 
Hello World!                                                 
+    
Hello World!
     {
         '__annotations__': {},
         '__builtins__': <module 'builtins' (built-in)>,
@@ -75,7 +75,7 @@ Rich in the REPL
 Rich may be installed in the REPL so that Python data structures are automatically pretty printed with syntax highlighting. Here's how::
 
     >>> from rich import pretty
-    >>> pretty.install() 
+    >>> pretty.install()
     >>> ["Rich and pretty", True]
 
 You can also use this feature to try out Rich *renderables*. Here's an example::
@@ -91,8 +91,8 @@ IPython Extension
 Rich also includes an IPython extension that will do this same pretty install + pretty tracebacks. Here's how to load it::
 
     In [1]: %load_ext rich
-    
-You can also have it load by default by adding `"rich"` to the ``c.InteractiveShellApp.extension`` variable in 
+
+You can also have it load by default by adding `"rich"` to the ``c.InteractiveShellApp.extension`` variable in
 `IPython Configuration `_.
 
 Rich Inspect
diff --git a/docs/source/logging.rst b/docs/source/logging.rst
index 2b1d853f63..67a999922b 100644
--- a/docs/source/logging.rst
+++ b/docs/source/logging.rst
@@ -49,3 +49,23 @@ The :class:`~rich.logging.RichHandler` class may be configured to use Rich's :cl
 
 
 There are a number of other options you can use to configure logging output, see the :class:`~rich.logging.RichHandler` reference for details.
+
+Suppressing Frames
+------------------
+
+If you are working with a framework (click, django etc), you may only be interested in seeing the code from your own application within the traceback. You can exclude framework code by setting the `suppress` argument on `Traceback`, `install`, and `Console.print_exception`, which should be a list of modules or str paths.
+
+Here's how you would exclude `click `_ from Rich exceptions:: 
+
+    import click
+    import logging
+    from rich.logging import RichHandler
+
+    logging.basicConfig(
+        level="NOTSET",
+        format="%(message)s",
+        datefmt="[%X]",
+        handlers=[RichHandler(rich_tracebacks=True, tracebacks_suppress=[click])]
+    )
+
+Suppressed frames will show the line and file only, without any code.
\ No newline at end of file
diff --git a/docs/source/progress.rst b/docs/source/progress.rst
index 1a4e02ed7d..afe459386b 100644
--- a/docs/source/progress.rst
+++ b/docs/source/progress.rst
@@ -34,9 +34,9 @@ If you require multiple tasks in the display, or wish to configure the columns i
 The Progress class is designed to be used as a *context manager* which will start and stop the progress display automatically.
 
 Here's a simple example::
-    
+
     import time
-    
+
     from rich.progress import Progress
 
     with Progress() as progress:
@@ -81,7 +81,7 @@ Transient progress displays are useful if you want more minimal output in the te
 Indeterminate progress
 ~~~~~~~~~~~~~~~~~~~~~~
 
-When you add a task it is automatically *started*, which means it will show a progress bar at 0% and the time remaining will be calculated from the current time. This may not work well if there is a long delay before you can start updating progress; you may need to wait for a response from a server or count files in a directory (for example). In these cases you can call :meth:`~rich.progress.Progress.add_task` with ``start=False`` which will display a pulsing animation that lets the user know something is working. This is know as an *indeterminate* progress bar. When you have the number of steps you can call :meth:`~rich.progress.Progress.start_task` which will display the progress bar at 0%, then :meth:`~rich.progress.Progress.update` as normal.
+When you add a task it is automatically *started*, which means it will show a progress bar at 0% and the time remaining will be calculated from the current time. This may not work well if there is a long delay before you can start updating progress; you may need to wait for a response from a server or count files in a directory (for example). In these cases you can call :meth:`~rich.progress.Progress.add_task` with ``start=False`` or ``total=None`` which will display a pulsing animation that lets the user know something is working. This is know as an *indeterminate* progress bar. When you have the number of steps you can call :meth:`~rich.progress.Progress.start_task` which will display the progress bar at 0%, then :meth:`~rich.progress.Progress.update` as normal.
 
 Auto refresh
 ~~~~~~~~~~~~
@@ -100,25 +100,34 @@ The progress bar(s) will use only as much of the width of the terminal as requir
 Columns
 ~~~~~~~
 
-You may customize the columns in the progress display with the positional arguments to the :class:`~rich.progress.Progress` constructor. The columns are specified as either a format string or a :class:`~rich.progress.ProgressColumn` object.
+You may customize the columns in the progress display with the positional arguments to the :class:`~rich.progress.Progress` constructor. The columns are specified as either a *format string* or a :class:`~rich.progress.ProgressColumn` object.
 
-Format strings will be rendered with a single value `"task"` which will be a :class:`~rich.progress.Task` instance. For example ``"{task.description}"`` would display the task description in the column, and ``"{task.completed} of {task.total}"`` would display how many of the total steps have been completed.
+Format strings will be rendered with a single value `"task"` which will be a :class:`~rich.progress.Task` instance. For example ``"{task.description}"`` would display the task description in the column, and ``"{task.completed} of {task.total}"`` would display how many of the total steps have been completed. Additional fields passed via keyword arguments to `~rich.progress.Progress.update` are store in ``task.fields``. You can add them to a format string with the following syntax: ``"extra info: {task.fields[extra]}"``.
 
-The defaults are roughly equivalent to the following::
+The default columns are equivalent to the following:
 
     progress = Progress(
-        "[progress.description]{task.description}",
+        TextColumn("[progress.description]{task.description}"),
         BarColumn(),
-        "[progress.percentage]{task.percentage:>3.0f}%",
+        TaskProgressColumn(),
         TimeRemainingColumn(),
     )
 
+To create a Progress with your own columns in addition to the defaults, use :meth:`~rich.progress.Progress.get_default_columns`::
+
+    progress = Progress(
+        SpinnerColumn(),
+        *Progress.get_default_columns(),
+        TimeElapsedColumn(),
+    )
+
 The following column objects are available:
 
 - :class:`~rich.progress.BarColumn` Displays the bar.
 - :class:`~rich.progress.TextColumn` Displays text.
 - :class:`~rich.progress.TimeElapsedColumn` Displays the time elapsed.
 - :class:`~rich.progress.TimeRemainingColumn` Displays the estimated time remaining.
+- :class:`~rich.progress.MofNCompleteColumn` Displays completion progress as ``"{task.completed}/{task.total}"`` (works best if completed and total are ints).
 - :class:`~rich.progress.FileSizeColumn` Displays progress as file size (assumes the steps are bytes).
 - :class:`~rich.progress.TotalFileSizeColumn` Displays total file size (assumes the steps are bytes).
 - :class:`~rich.progress.DownloadColumn` Displays download progress (assumes the steps are bytes).
@@ -128,6 +137,7 @@ The following column objects are available:
 
 To implement your own columns, extend the :class:`~rich.progress.ProgressColumn` class and use it as you would the other columns.
 
+
 Table Columns
 ~~~~~~~~~~~~~
 
@@ -169,7 +179,7 @@ If you have another Console object you want to use, pass it in to the :class:`~r
     with Progress(console=my_console) as progress:
         my_console.print("[bold blue]Starting work!")
         do_work(progress)
-        
+
 
 Redirecting stdout / stderr
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -189,6 +199,43 @@ If the :class:`~rich.progress.Progress` class doesn't offer exactly what you nee
         def get_renderables(self):
             yield Panel(self.make_tasks_table(self.tasks))
 
+Reading from a file
+~~~~~~~~~~~~~~~~~~~
+
+Rich provides an easy way to generate a progress bar while reading a file. If you call :func:`~rich.progress.open` it will return a context manager which displays a progress bar while you read. This is particularly useful when you can't easily modify the code that does the reading.
+
+The following example demonstrates how we might show progress when reading a JSON file::
+
+    import json
+    import rich.progress
+
+    with rich.progress.open("data.json", "rb") as file:
+        data = json.load(file)
+    print(data)
+
+If you already have a file object, you can call :func:`~rich.progress.wrap_file` which returns a context manager that wraps your file so that it displays a progress bar. If you use this function you will need to set the number of bytes or characters you expect to read.
+
+Here's an example that reads a url from the internet::
+
+    from time import sleep
+    from urllib.request import urlopen
+
+    from rich.progress import wrap_file
+
+    response = urlopen("https://www.textualize.io")
+    size = int(response.headers["Content-Length"])
+
+    with wrap_file(response, size) as file:
+        for line in file:
+            print(line.decode("utf-8"), end="")
+            sleep(0.1)
+
+
+If you expect to be reading from multiple files, you can use :meth:`~rich.progress.Progress.open` or :meth:`~rich.progress.Progress.wrap_file` to add a file progress to an existing Progress instance.
+
+See `cp_progress.py ` for a minimal clone of the ``cp`` command which shows a progress bar as the file is copied.
+
+
 Multiple Progress
 -----------------
 
@@ -198,4 +245,3 @@ Example
 -------
 
 See `downloader.py `_ for a realistic application of a progress display. This script can download multiple concurrent files with a progress bar, transfer speed and file size.
-
diff --git a/docs/source/style.rst b/docs/source/style.rst
index 5b8c390d58..18d4bf16ba 100644
--- a/docs/source/style.rst
+++ b/docs/source/style.rst
@@ -20,7 +20,7 @@ You may also use the color's number (an integer between 0 and 255) with the synt
 
     console.print("Hello", style="color(5)")
 
-Alteratively you can use a CSS-like syntax to specify a color with a "#" followed by three pairs of hex characters, or in RGB form with three decimal integers. The following two lines both print "Hello" in the same color (purple)::
+Alternatively you can use a CSS-like syntax to specify a color with a "#" followed by three pairs of hex characters, or in RGB form with three decimal integers. The following two lines both print "Hello" in the same color (purple)::
 
     console.print("Hello", style="#af00ff")
     console.print("Hello", style="rgb(175,0,255)")
diff --git a/docs/source/tables.rst b/docs/source/tables.rst
index 7429ac66ac..22236358f4 100644
--- a/docs/source/tables.rst
+++ b/docs/source/tables.rst
@@ -62,14 +62,14 @@ There are a number of keyword arguments on the Table constructor you can use to
 - ``expand`` Set to True to expand the table to the full available size.
 - ``show_header`` Set to True to show a header, False to disable it.
 - ``show_footer`` Set to True to show a footer, False to disable it.
-- ``show edge`` Set to False to disable the edge line around the table.
+- ``show_edge`` Set to False to disable the edge line around the table.
 - ``show_lines`` Set to True to show lines between rows as well as header / footer.
 - ``leading`` Additional space between rows.
 - ``style`` A Style to apply to the entire table, e.g. "on blue"
 - ``row_styles`` Set to a list of styles to style alternating rows. e.g. ``["dim", ""]`` to create *zebra stripes*
 - ``header_style`` Set the default style for the header.
 - ``footer_style`` Set the default style for the footer.
-- ``border style`` Set a style for border characters.
+- ``border_style`` Set a style for border characters.
 - ``title_style`` Set a style for the title.
 - ``caption_style`` Set a style for the caption.
 - ``title_justify`` Set the title justify method ("left", "right", "center", or "full")
diff --git a/docs/source/traceback.rst b/docs/source/traceback.rst
index f940bbbeae..6c2893222d 100644
--- a/docs/source/traceback.rst
+++ b/docs/source/traceback.rst
@@ -61,7 +61,7 @@ At this point, the traceback will be installed for any code that is run within t
 Suppressing Frames
 ------------------
 
-If you are working with a framework (click, django etc), you may only be interested in seeing the code from your own application within the traceback. You can exclude framework code by setting the `suppress` argument on `Traceback`, `install`, and `Console.print_exception`, which should be a list of modules or str paths.
+If you are working with a framework (click, django etc), you may only be interested in seeing the code from your own application within the traceback. You can exclude framework code by setting the `suppress` argument on `Traceback`, `install`, `Console.print_exception`, and `RichHandler`, which should be a list of modules or str paths.
 
 Here's how you would exclude `click `_ from Rich exceptions:: 
 
diff --git a/examples/cp_progress.py b/examples/cp_progress.py
new file mode 100644
index 0000000000..b5cc4c8181
--- /dev/null
+++ b/examples/cp_progress.py
@@ -0,0 +1,19 @@
+"""
+A very minimal `cp` clone that displays a progress bar.
+"""
+import os
+import shutil
+import sys
+
+from rich.progress import Progress
+
+if __name__ == "__main__":
+    if len(sys.argv) == 3:
+        with Progress() as progress:
+            desc = os.path.basename(sys.argv[1])
+            with progress.open(sys.argv[1], "rb", description=desc) as src:
+                with open(sys.argv[2], "wb") as dst:
+                    shutil.copyfileobj(src, dst)
+    else:
+        print("Copy a file with a progress bar.")
+        print("Usage:\n\tpython cp_progress.py SRC DST")
diff --git a/examples/downloader.py b/examples/downloader.py
index 3671cee48b..919aa7348f 100644
--- a/examples/downloader.py
+++ b/examples/downloader.py
@@ -4,7 +4,7 @@
 
 import os.path
 import sys
-from concurrent.futures import as_completed, ThreadPoolExecutor
+from concurrent.futures import ThreadPoolExecutor
 import signal
 from functools import partial
 from threading import Event
diff --git a/examples/exception.py b/examples/exception.py
index 548432d669..39dbdf4244 100644
--- a/examples/exception.py
+++ b/examples/exception.py
@@ -2,6 +2,7 @@
 Basic example to show how to print an traceback of an exception
 """
 from typing import List, Tuple
+
 from rich.console import Console
 
 console = Console()
@@ -34,7 +35,7 @@ def divide_all(divides: List[Tuple[float, float]]) -> None:
     (0, 1000000),
     (3.1427, 2),
     (888, 0),
-    (2 ** 32, 2 ** 16),
+    (2**32, 2**16),
 ]
 
 divide_all(DIVIDES)
diff --git a/examples/file_progress.py b/examples/file_progress.py
new file mode 100644
index 0000000000..fd18d75370
--- /dev/null
+++ b/examples/file_progress.py
@@ -0,0 +1,16 @@
+from time import sleep
+from urllib.request import urlopen
+
+from rich.progress import wrap_file
+
+# Read a URL with urlopen
+response = urlopen("https://www.textualize.io")
+# Get the size from the headers
+size = int(response.headers["Content-Length"])
+
+# Wrap the response so that it update progress
+
+with wrap_file(response, size) as file:
+    for line in file:
+        print(line.decode("utf-8"), end="")
+        sleep(0.1)
diff --git a/examples/save_table_svg.py b/examples/save_table_svg.py
new file mode 100644
index 0000000000..e22aee22b0
--- /dev/null
+++ b/examples/save_table_svg.py
@@ -0,0 +1,26 @@
+"""
+Demonstrates how to export a SVG
+"""
+
+from rich.console import Console
+from rich.table import Table
+
+table = Table(title="Star Wars Movies")
+
+table.add_column("Released", style="cyan", no_wrap=True)
+table.add_column("Title", style="magenta")
+table.add_column("Box Office", justify="right", style="green")
+
+table.add_row("Dec 20, 2019", "Star Wars: The Rise of Skywalker", "$952,110,690")
+table.add_row("May 25, 2018", "Solo: A Star Wars Story", "$393,151,347")
+table.add_row("Dec 15, 2017", "Star Wars Ep. V111: The Last Jedi", "$1,332,539,889")
+table.add_row("Dec 16, 2016", "Rogue One: A Star Wars Story", "$1,332,439,889")
+
+console = Console(record=True)
+console.print(table, justify="center")
+console.save_svg("table.svg", title="save_table_svg.py")
+
+import os
+import webbrowser
+
+webbrowser.open(f"file://{os.path.abspath('table.svg')}")
diff --git a/imgs/downloader.gif b/imgs/downloader.gif
index 2033d7b981..dad59f2588 100644
Binary files a/imgs/downloader.gif and b/imgs/downloader.gif differ
diff --git a/imgs/logo.svg b/imgs/logo.svg
index 34c2a11ead..4842c4a8ef 100644
--- a/imgs/logo.svg
+++ b/imgs/logo.svg
@@ -1,69 +1 @@
-
-
-  
-    
-      
-      
-    
-    
-      
-      
-      
-      
-        
-        
-      
-    
-  
-  
-    
-    
-    
-    
-    
-    
-    
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-      
-    
-  
-  
-    
-      
-      
-      
-      
-      
-    
-  
-  
-
\ No newline at end of file
+
\ No newline at end of file
diff --git a/imgs/progress.gif b/imgs/progress.gif
index e145478fa9..b4ccfa2f4b 100644
Binary files a/imgs/progress.gif and b/imgs/progress.gif differ
diff --git a/imgs/spinners.gif b/imgs/spinners.gif
index b98685c203..7d3445e104 100644
Binary files a/imgs/spinners.gif and b/imgs/spinners.gif differ
diff --git a/imgs/status.gif b/imgs/status.gif
index ccb7ceb8e7..c930fc76ef 100644
Binary files a/imgs/status.gif and b/imgs/status.gif differ
diff --git a/imgs/traceback.png b/imgs/traceback.png
index 55b2e79a0b..07a4a50076 100644
Binary files a/imgs/traceback.png and b/imgs/traceback.png differ
diff --git a/mypy.ini b/mypy.ini
deleted file mode 100644
index c61bcf0ace..0000000000
--- a/mypy.ini
+++ /dev/null
@@ -1,16 +0,0 @@
-[mypy]
-
-[mypy-pygments.*]
-ignore_missing_imports = True
-
-[mypy-IPython.*]
-ignore_missing_imports = True
-
-[mypy-commonmark.*]
-ignore_missing_imports = True
-
-[mypy-colorama.*]
-ignore_missing_imports = True
-
-[mypy-ipywidgets.*]
-ignore_missing_imports = True
diff --git a/poetry.lock b/poetry.lock
index 59c3236d6d..2905ffa63b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -3,7 +3,7 @@ name = "appnope"
 version = "0.1.2"
 description = "Disable App Nap on macOS >= 10.9"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [[package]]
@@ -39,6 +39,21 @@ cffi = ">=1.0.1"
 dev = ["pytest", "cogapp", "pre-commit", "wheel"]
 tests = ["pytest"]
 
+[[package]]
+name = "asv"
+version = "0.5.1"
+description = "Airspeed Velocity: A simple Python history benchmarking tool"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.dependencies]
+six = ">=1.4"
+
+[package.extras]
+hg = ["python-hglib (>=1.5)"]
+testing = ["virtualenv (>=1.7)", "filelock", "six", "pip", "setuptools", "wheel", "numpy", "scipy", "selenium", "pytest-xdist", "pytest-timeout", "feedparser", "python-hglib", "pytest (>=4.4.0)", "pytest-rerunfailures (>=8.0)", "pytest-faulthandler", "pytest (>=4.4.0,<5.0)", "pytest-rerunfailures (>=8.0,<9.0)", "pytest-faulthandler (<2.0)"]
+
 [[package]]
 name = "async-generator"
 version = "1.10"
@@ -74,35 +89,31 @@ name = "backcall"
 version = "0.2.0"
 description = "Specifications for callback functions passed in to an API"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [[package]]
 name = "black"
-version = "21.12b0"
+version = "22.3.0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
 python-versions = ">=3.6.2"
 
 [package.dependencies]
-click = ">=7.1.2"
+click = ">=8.0.0"
 dataclasses = {version = ">=0.6", markers = "python_version < \"3.7\""}
 mypy-extensions = ">=0.4.3"
-pathspec = ">=0.9.0,<1"
+pathspec = ">=0.9.0"
 platformdirs = ">=2"
-tomli = ">=0.2.6,<2.0.0"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""}
-typing-extensions = [
-    {version = ">=3.10.0.0", markers = "python_version < \"3.10\""},
-    {version = "!=3.10.0.1", markers = "python_version >= \"3.10\""},
-]
+typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
 d = ["aiohttp (>=3.7.4)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-python2 = ["typed-ast (>=1.4.3)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
@@ -139,7 +150,7 @@ python-versions = ">=3.6.1"
 
 [[package]]
 name = "click"
-version = "8.0.3"
+version = "8.0.4"
 description = "Composable command line interface toolkit"
 category = "dev"
 optional = false
@@ -192,10 +203,10 @@ python-versions = ">=3.6, <3.7"
 
 [[package]]
 name = "decorator"
-version = "5.1.0"
+version = "5.1.1"
 description = "Decorators for Humans"
 category = "main"
-optional = false
+optional = true
 python-versions = ">=3.5"
 
 [[package]]
@@ -216,11 +227,11 @@ python-versions = "*"
 
 [[package]]
 name = "entrypoints"
-version = "0.3"
+version = "0.4"
 description = "Discover and load entry points from installed packages."
 category = "main"
 optional = true
-python-versions = ">=2.7"
+python-versions = ">=3.6"
 
 [[package]]
 name = "filelock"
@@ -236,7 +247,7 @@ testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-co
 
 [[package]]
 name = "identify"
-version = "2.4.1"
+version = "2.4.4"
 description = "File identification library for Python"
 category = "dev"
 optional = false
@@ -247,7 +258,7 @@ license = ["ukkonen"]
 
 [[package]]
 name = "importlib-metadata"
-version = "4.8.2"
+version = "4.8.3"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
@@ -309,7 +320,7 @@ name = "ipython"
 version = "7.16.3"
 description = "IPython: Productive Interactive Computing"
 category = "main"
-optional = false
+optional = true
 python-versions = ">=3.6"
 
 [package.dependencies]
@@ -340,12 +351,12 @@ name = "ipython-genutils"
 version = "0.2.0"
 description = "Vestigial utilities from IPython"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [[package]]
 name = "ipywidgets"
-version = "7.6.5"
+version = "7.7.0"
 description = "IPython HTML widgets for Jupyter"
 category = "main"
 optional = true
@@ -358,7 +369,7 @@ ipython-genutils = ">=0.2.0,<0.3.0"
 jupyterlab-widgets = {version = ">=1.0.0", markers = "python_version >= \"3.6\""}
 nbformat = ">=4.2.0"
 traitlets = ">=4.3.1"
-widgetsnbextension = ">=3.5.0,<3.6.0"
+widgetsnbextension = ">=3.6.0,<3.7.0"
 
 [package.extras]
 test = ["pytest (>=3.6.0)", "pytest-cov", "mock"]
@@ -368,7 +379,7 @@ name = "jedi"
 version = "0.17.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 category = "main"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.dependencies]
@@ -411,7 +422,7 @@ format_nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jupyter-client"
-version = "7.1.0"
+version = "7.1.2"
 description = "Jupyter protocol implementation and client libraries"
 category = "main"
 optional = true
@@ -432,7 +443,7 @@ test = ["codecov", "coverage", "ipykernel", "ipython", "mock", "mypy", "pre-comm
 
 [[package]]
 name = "jupyter-core"
-version = "4.9.1"
+version = "4.9.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 category = "main"
 optional = true
@@ -455,7 +466,7 @@ pygments = ">=2.4.1,<3"
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "1.0.2"
+version = "1.1.0"
 description = "A JupyterLab extension."
 category = "main"
 optional = true
@@ -479,7 +490,7 @@ python-versions = "*"
 
 [[package]]
 name = "mypy"
-version = "0.930"
+version = "0.942"
 description = "Optional static typing for Python"
 category = "dev"
 optional = false
@@ -494,6 +505,7 @@ typing-extensions = ">=3.10"
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
 python2 = ["typed-ast (>=1.4.0,<2)"]
+reports = ["lxml"]
 
 [[package]]
 name = "mypy-extensions"
@@ -573,7 +585,7 @@ test = ["check-manifest", "fastjsonschema", "testpath", "pytest", "pytest-cov"]
 
 [[package]]
 name = "nest-asyncio"
-version = "1.5.4"
+version = "1.5.5"
 description = "Patch asyncio to allow nested event loops"
 category = "main"
 optional = true
@@ -589,7 +601,7 @@ python-versions = "*"
 
 [[package]]
 name = "notebook"
-version = "6.4.6"
+version = "6.4.10"
 description = "A web-based notebook environment for interactive computing"
 category = "main"
 optional = true
@@ -602,7 +614,7 @@ ipython-genutils = "*"
 jinja2 = "*"
 jupyter-client = ">=5.3.4"
 jupyter-core = ">=4.6.1"
-nbconvert = "*"
+nbconvert = ">=5"
 nbformat = "*"
 nest-asyncio = ">=1.5"
 prometheus-client = "*"
@@ -641,7 +653,7 @@ name = "parso"
 version = "0.7.1"
 description = "A Python Parser"
 category = "main"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [package.extras]
@@ -660,7 +672,7 @@ name = "pexpect"
 version = "4.8.0"
 description = "Pexpect allows easy control of interactive console applications."
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [package.dependencies]
@@ -671,7 +683,7 @@ name = "pickleshare"
 version = "0.7.5"
 description = "Tiny 'shelve'-like database with concurrency support"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [[package]]
@@ -703,7 +715,7 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "2.16.0"
+version = "2.17.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 category = "dev"
 optional = false
@@ -721,21 +733,21 @@ virtualenv = ">=20.0.8"
 
 [[package]]
 name = "prometheus-client"
-version = "0.12.0"
+version = "0.13.1"
 description = "Python client for the Prometheus monitoring system."
 category = "main"
 optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
 [package.extras]
 twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.24"
+version = "3.0.28"
 description = "Library for building powerful interactive command lines in Python"
 category = "main"
-optional = false
+optional = true
 python-versions = ">=3.6.2"
 
 [package.dependencies]
@@ -746,7 +758,7 @@ name = "ptyprocess"
 version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [[package]]
@@ -775,7 +787,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "pyparsing"
-version = "3.0.6"
+version = "3.0.7"
 description = "Python parsing module"
 category = "main"
 optional = false
@@ -794,7 +806,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "pytest"
-version = "6.2.5"
+version = "7.0.1"
 description = "pytest: simple powerful testing with Python"
 category = "dev"
 optional = false
@@ -809,10 +821,10 @@ iniconfig = "*"
 packaging = "*"
 pluggy = ">=0.12,<2.0"
 py = ">=1.8.2"
-toml = "*"
+tomli = ">=1.0.0"
 
 [package.extras]
-testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
+testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"]
 
 [[package]]
 name = "pytest-cov"
@@ -842,7 +854,7 @@ six = ">=1.5"
 
 [[package]]
 name = "pywin32"
-version = "302"
+version = "303"
 description = "Python for Window Extensions"
 category = "main"
 optional = true
@@ -850,7 +862,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywinpty"
-version = "1.1.6"
+version = "2.0.3"
 description = "Pseudo terminal support for Windows from Python."
 category = "main"
 optional = true
@@ -899,11 +911,11 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "terminado"
-version = "0.12.1"
+version = "0.13.0"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 category = "main"
 optional = true
-python-versions = ">=3.6"
+python-versions = "*"
 
 [package.dependencies]
 ptyprocess = {version = "*", markers = "os_name != \"nt\""}
@@ -915,14 +927,14 @@ test = ["pytest"]
 
 [[package]]
 name = "testpath"
-version = "0.5.0"
+version = "0.6.0"
 description = "Test utilities for code working with files and commands"
 category = "main"
 optional = true
 python-versions = ">= 3.5"
 
 [package.extras]
-test = ["pytest", "pathlib2"]
+test = ["pytest"]
 
 [[package]]
 name = "toml"
@@ -934,7 +946,7 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "tomli"
-version = "1.2.2"
+version = "1.2.3"
 description = "A lil' TOML parser"
 category = "dev"
 optional = false
@@ -953,7 +965,7 @@ name = "traitlets"
 version = "4.3.3"
 description = "Traitlets Python config system"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [package.dependencies]
@@ -966,11 +978,11 @@ test = ["pytest", "mock"]
 
 [[package]]
 name = "typed-ast"
-version = "1.4.3"
+version = "1.5.2"
 description = "a fork of Python 2 and 3 ast modules with type comment support"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "types-dataclasses"
@@ -982,7 +994,7 @@ python-versions = "*"
 
 [[package]]
 name = "typing-extensions"
-version = "4.0.1"
+version = "4.1.1"
 description = "Backported and Experimental Type Hints for Python 3.6+"
 category = "main"
 optional = false
@@ -990,7 +1002,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "virtualenv"
-version = "20.13.0"
+version = "20.14.0"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
@@ -1013,7 +1025,7 @@ name = "wcwidth"
 version = "0.2.5"
 description = "Measures the displayed width of unicode strings in a terminal"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [[package]]
@@ -1026,7 +1038,7 @@ python-versions = "*"
 
 [[package]]
 name = "widgetsnbextension"
-version = "3.5.2"
+version = "3.6.0"
 description = "IPython HTML widgets for Jupyter"
 category = "main"
 optional = true
@@ -1053,7 +1065,7 @@ jupyter = ["ipywidgets"]
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.6.2"
-content-hash = "d642a2a33643ec67d8ec48fef8ac01b7226829d0dcc3a14b10c3140005cbd0f0"
+content-hash = "44c9bd43cc8070dbf2d3e5a8e8e327d7c42531bbb11ed36b144135fa753f59cb"
 
 [metadata.files]
 appnope = [
@@ -1087,6 +1099,9 @@ argon2-cffi-bindings = [
     {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"},
     {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"},
 ]
+asv = [
+    {file = "asv-0.5.1.tar.gz", hash = "sha256:805fc3cc46c0bcf3e7baeaa16a12e4b92f1276c25490db4cb80fc541afa52bfc"},
+]
 async-generator = [
     {file = "async_generator-1.10-py3-none-any.whl", hash = "sha256:01c7bf666359b4967d2cda0000cc2e4af16a0ae098cbffcb8472fb9e8ad6585b"},
     {file = "async_generator-1.10.tar.gz", hash = "sha256:6ebb3d106c12920aaae42ccb6f787ef5eefdcdd166ea3d628fa8476abe712144"},
@@ -1104,8 +1119,29 @@ backcall = [
     {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
 ]
 black = [
-    {file = "black-21.12b0-py3-none-any.whl", hash = "sha256:a615e69ae185e08fdd73e4715e260e2479c861b5740057fde6e8b4e3b7dd589f"},
-    {file = "black-21.12b0.tar.gz", hash = "sha256:77b80f693a569e2e527958459634f18df9b0ba2625ba4e0c2d5da5be42e6f2b3"},
+    {file = "black-22.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2497f9c2386572e28921fa8bec7be3e51de6801f7459dffd6e62492531c47e09"},
+    {file = "black-22.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5795a0375eb87bfe902e80e0c8cfaedf8af4d49694d69161e5bd3206c18618bb"},
+    {file = "black-22.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e3556168e2e5c49629f7b0f377070240bd5511e45e25a4497bb0073d9dda776a"},
+    {file = "black-22.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67c8301ec94e3bcc8906740fe071391bce40a862b7be0b86fb5382beefecd968"},
+    {file = "black-22.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:fd57160949179ec517d32ac2ac898b5f20d68ed1a9c977346efbac9c2f1e779d"},
+    {file = "black-22.3.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:cc1e1de68c8e5444e8f94c3670bb48a2beef0e91dddfd4fcc29595ebd90bb9ce"},
+    {file = "black-22.3.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2fc92002d44746d3e7db7cf9313cf4452f43e9ea77a2c939defce3b10b5c82"},
+    {file = "black-22.3.0-cp36-cp36m-win_amd64.whl", hash = "sha256:a6342964b43a99dbc72f72812bf88cad8f0217ae9acb47c0d4f141a6416d2d7b"},
+    {file = "black-22.3.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:328efc0cc70ccb23429d6be184a15ce613f676bdfc85e5fe8ea2a9354b4e9015"},
+    {file = "black-22.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:06f9d8846f2340dfac80ceb20200ea5d1b3f181dd0556b47af4e8e0b24fa0a6b"},
+    {file = "black-22.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:ad4efa5fad66b903b4a5f96d91461d90b9507a812b3c5de657d544215bb7877a"},
+    {file = "black-22.3.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:e8477ec6bbfe0312c128e74644ac8a02ca06bcdb8982d4ee06f209be28cdf163"},
+    {file = "black-22.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:637a4014c63fbf42a692d22b55d8ad6968a946b4a6ebc385c5505d9625b6a464"},
+    {file = "black-22.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:863714200ada56cbc366dc9ae5291ceb936573155f8bf8e9de92aef51f3ad0f0"},
+    {file = "black-22.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10dbe6e6d2988049b4655b2b739f98785a884d4d6b85bc35133a8fb9a2233176"},
+    {file = "black-22.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:cee3e11161dde1b2a33a904b850b0899e0424cc331b7295f2a9698e79f9a69a0"},
+    {file = "black-22.3.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5891ef8abc06576985de8fa88e95ab70641de6c1fca97e2a15820a9b69e51b20"},
+    {file = "black-22.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:30d78ba6bf080eeaf0b7b875d924b15cd46fec5fd044ddfbad38c8ea9171043a"},
+    {file = "black-22.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ee8f1f7228cce7dffc2b464f07ce769f478968bfb3dd1254a4c2eeed84928aad"},
+    {file = "black-22.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ee227b696ca60dd1c507be80a6bc849a5a6ab57ac7352aad1ffec9e8b805f21"},
+    {file = "black-22.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:9b542ced1ec0ceeff5b37d69838106a6348e60db7b8fdd245294dc1d26136265"},
+    {file = "black-22.3.0-py3-none-any.whl", hash = "sha256:bc58025940a896d7e5356952228b68f793cf5fcb342be703c3a2669a1488cb72"},
+    {file = "black-22.3.0.tar.gz", hash = "sha256:35020b8886c022ced9282b51b5a875b6d1ab0c387b31a065b84db7c33085ca79"},
 ]
 bleach = [
     {file = "bleach-4.1.0-py2.py3-none-any.whl", hash = "sha256:4d2651ab93271d1129ac9cbc679f524565cc8a1b791909c4a51eac4446a15994"},
@@ -1168,8 +1204,8 @@ cfgv = [
     {file = "cfgv-3.3.1.tar.gz", hash = "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"},
 ]
 click = [
-    {file = "click-8.0.3-py3-none-any.whl", hash = "sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3"},
-    {file = "click-8.0.3.tar.gz", hash = "sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b"},
+    {file = "click-8.0.4-py3-none-any.whl", hash = "sha256:6a7a62563bbfabfda3a38f3023a1db4a35978c0abd76f6c9605ecd6554d6d9b1"},
+    {file = "click-8.0.4.tar.gz", hash = "sha256:8458d7b1287c5fb128c90e23381cf99dcde74beaf6c7ff6384ce84d6fe090adb"},
 ]
 colorama = [
     {file = "colorama-0.4.4-py2.py3-none-any.whl", hash = "sha256:9f47eda37229f68eee03b24b9748937c7dc3868f906e8ba69fbcbdd3bc5dc3e2"},
@@ -1233,8 +1269,8 @@ dataclasses = [
     {file = "dataclasses-0.8.tar.gz", hash = "sha256:8479067f342acf957dc82ec415d355ab5edb7e7646b90dc6e2fd1d96ad084c97"},
 ]
 decorator = [
-    {file = "decorator-5.1.0-py3-none-any.whl", hash = "sha256:7b12e7c3c6ab203a29e157335e9122cb03de9ab7264b137594103fd4a683b374"},
-    {file = "decorator-5.1.0.tar.gz", hash = "sha256:e59913af105b9860aa2c8d3272d9de5a56a4e608db9a2f167a8480b323d529a7"},
+    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
+    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
 defusedxml = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
@@ -1245,20 +1281,20 @@ distlib = [
     {file = "distlib-0.3.4.zip", hash = "sha256:e4b58818180336dc9c529bfb9a0b58728ffc09ad92027a3f30b7cd91e3458579"},
 ]
 entrypoints = [
-    {file = "entrypoints-0.3-py2.py3-none-any.whl", hash = "sha256:589f874b313739ad35be6e0cd7efde2a4e9b6fea91edcc34e58ecbb8dbe56d19"},
-    {file = "entrypoints-0.3.tar.gz", hash = "sha256:c70dd71abe5a8c85e55e12c19bd91ccfeec11a6e99044204511f9ed547d48451"},
+    {file = "entrypoints-0.4-py3-none-any.whl", hash = "sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f"},
+    {file = "entrypoints-0.4.tar.gz", hash = "sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4"},
 ]
 filelock = [
     {file = "filelock-3.4.1-py3-none-any.whl", hash = "sha256:a4bc51381e01502a30e9f06dd4fa19a1712eab852b6fb0f84fd7cce0793d8ca3"},
     {file = "filelock-3.4.1.tar.gz", hash = "sha256:0f12f552b42b5bf60dba233710bf71337d35494fc8bdd4fd6d9f6d082ad45e06"},
 ]
 identify = [
-    {file = "identify-2.4.1-py2.py3-none-any.whl", hash = "sha256:0192893ff68b03d37fed553e261d4a22f94ea974093aefb33b29df2ff35fed3c"},
-    {file = "identify-2.4.1.tar.gz", hash = "sha256:64d4885e539f505dd8ffb5e93c142a1db45480452b1594cacd3e91dca9a984e9"},
+    {file = "identify-2.4.4-py2.py3-none-any.whl", hash = "sha256:aa68609c7454dbcaae60a01ff6b8df1de9b39fe6e50b1f6107ec81dcda624aa6"},
+    {file = "identify-2.4.4.tar.gz", hash = "sha256:6b4b5031f69c48bf93a646b90de9b381c6b5f560df4cbe0ed3cf7650ae741e4d"},
 ]
 importlib-metadata = [
-    {file = "importlib_metadata-4.8.2-py3-none-any.whl", hash = "sha256:53ccfd5c134223e497627b9815d5030edf77d2ed573922f7a0b8f8bb81a1c100"},
-    {file = "importlib_metadata-4.8.2.tar.gz", hash = "sha256:75bdec14c397f528724c1bfd9709d660b33a4d2e77387a3358f20b848bb5e5fb"},
+    {file = "importlib_metadata-4.8.3-py3-none-any.whl", hash = "sha256:65a9576a5b2d58ca44d133c42a241905cc45e34d2c06fd5ba2bafa221e5d7b5e"},
+    {file = "importlib_metadata-4.8.3.tar.gz", hash = "sha256:766abffff765960fcc18003801f7044eb6755ffae4521c8e8ce8e83b9c9b0668"},
 ]
 importlib-resources = [
     {file = "importlib_resources-5.2.3-py3-none-any.whl", hash = "sha256:ae35ed1cfe8c0d6c1a53ecd168167f01fa93b893d51a62cdf23aea044c67211b"},
@@ -1281,8 +1317,8 @@ ipython-genutils = [
     {file = "ipython_genutils-0.2.0.tar.gz", hash = "sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8"},
 ]
 ipywidgets = [
-    {file = "ipywidgets-7.6.5-py2.py3-none-any.whl", hash = "sha256:d258f582f915c62ea91023299603be095de19afb5ee271698f88327b9fe9bf43"},
-    {file = "ipywidgets-7.6.5.tar.gz", hash = "sha256:00974f7cb4d5f8d494c19810fedb9fa9b64bffd3cda7c2be23c133a1ad3c99c5"},
+    {file = "ipywidgets-7.7.0-py2.py3-none-any.whl", hash = "sha256:e58ff58bc94d481e91ecb6e13a5cb96a87b6b8ade135e055603d0ca24593df38"},
+    {file = "ipywidgets-7.7.0.tar.gz", hash = "sha256:ab4a5596855a88b83761921c768707d65e5847068139bc1729ddfe834703542a"},
 ]
 jedi = [
     {file = "jedi-0.17.2-py2.py3-none-any.whl", hash = "sha256:98cc583fa0f2f8304968199b01b6b4b94f469a1f4a74c1560506ca2a211378b5"},
@@ -1297,20 +1333,20 @@ jsonschema = [
     {file = "jsonschema-4.0.0.tar.gz", hash = "sha256:bc51325b929171791c42ebc1c70b9713eb134d3bb8ebd5474c8b659b15be6d86"},
 ]
 jupyter-client = [
-    {file = "jupyter_client-7.1.0-py3-none-any.whl", hash = "sha256:64d93752d8cbfba0c1030c3335c3f0d9797cd1efac012652a14aac1653db11a3"},
-    {file = "jupyter_client-7.1.0.tar.gz", hash = "sha256:a5f995a73cffb314ed262713ae6dfce53c6b8216cea9f332071b8ff44a6e1654"},
+    {file = "jupyter_client-7.1.2-py3-none-any.whl", hash = "sha256:d56f1c57bef42ff31e61b1185d3348a5b2bcde7c9a05523ae4dbe5ee0871797c"},
+    {file = "jupyter_client-7.1.2.tar.gz", hash = "sha256:4ea61033726c8e579edb55626d8ee2e6bf0a83158ddf3751b8dd46b2c5cd1e96"},
 ]
 jupyter-core = [
-    {file = "jupyter_core-4.9.1-py3-none-any.whl", hash = "sha256:1c091f3bbefd6f2a8782f2c1db662ca8478ac240e962ae2c66f0b87c818154ea"},
-    {file = "jupyter_core-4.9.1.tar.gz", hash = "sha256:dce8a7499da5a53ae3afd5a9f4b02e5df1d57250cf48f3ad79da23b4778cd6fa"},
+    {file = "jupyter_core-4.9.2-py3-none-any.whl", hash = "sha256:f875e4d27e202590311d468fa55f90c575f201490bd0c18acabe4e318db4a46d"},
+    {file = "jupyter_core-4.9.2.tar.gz", hash = "sha256:d69baeb9ffb128b8cd2657fcf2703f89c769d1673c851812119e3a2a0e93ad9a"},
 ]
 jupyterlab-pygments = [
     {file = "jupyterlab_pygments-0.1.2-py2.py3-none-any.whl", hash = "sha256:abfb880fd1561987efaefcb2d2ac75145d2a5d0139b1876d5be806e32f630008"},
     {file = "jupyterlab_pygments-0.1.2.tar.gz", hash = "sha256:cfcda0873626150932f438eccf0f8bf22bfa92345b814890ab360d666b254146"},
 ]
 jupyterlab-widgets = [
-    {file = "jupyterlab_widgets-1.0.2-py3-none-any.whl", hash = "sha256:f5d9efface8ec62941173ba1cffb2edd0ecddc801c11ae2931e30b50492eb8f7"},
-    {file = "jupyterlab_widgets-1.0.2.tar.gz", hash = "sha256:7885092b2b96bf189c3a705cc3c412a4472ec5e8382d0b47219a66cccae73cfa"},
+    {file = "jupyterlab_widgets-1.1.0-py3-none-any.whl", hash = "sha256:c2a9bd3789f120f64d73268c066ed3b000c56bc1dda217be5cdc43e7b4ebad3f"},
+    {file = "jupyterlab_widgets-1.1.0.tar.gz", hash = "sha256:d5f41bc1713795385f718d44dcba47e1e1473c6289f28a95aa6b2c0782ee372a"},
 ]
 markupsafe = [
     {file = "MarkupSafe-2.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d8446c54dc28c01e5a2dbac5a25f071f6653e6e40f3a8818e8b45d790fe6ef53"},
@@ -1388,26 +1424,29 @@ mistune = [
     {file = "mistune-0.8.4.tar.gz", hash = "sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e"},
 ]
 mypy = [
-    {file = "mypy-0.930-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:221cc94dc6a801ccc2be7c0c9fd791c5e08d1fa2c5e1c12dec4eab15b2469871"},
-    {file = "mypy-0.930-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:db3a87376a1380f396d465bed462e76ea89f838f4c5e967d68ff6ee34b785c31"},
-    {file = "mypy-0.930-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1d2296f35aae9802eeb1327058b550371ee382d71374b3e7d2804035ef0b830b"},
-    {file = "mypy-0.930-cp310-cp310-win_amd64.whl", hash = "sha256:959319b9a3cafc33a8185f440a433ba520239c72e733bf91f9efd67b0a8e9b30"},
-    {file = "mypy-0.930-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:45a4dc21c789cfd09b8ccafe114d6de66f0b341ad761338de717192f19397a8c"},
-    {file = "mypy-0.930-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1e689e92cdebd87607a041585f1dc7339aa2e8a9f9bad9ba7e6ece619431b20c"},
-    {file = "mypy-0.930-cp36-cp36m-win_amd64.whl", hash = "sha256:ed4e0ea066bb12f56b2812a15ff223c57c0a44eca817ceb96b214bb055c7051f"},
-    {file = "mypy-0.930-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a9d8dffefba634b27d650e0de2564379a1a367e2e08d6617d8f89261a3bf63b2"},
-    {file = "mypy-0.930-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b419e9721260161e70d054a15abbd50603c16f159860cfd0daeab647d828fc29"},
-    {file = "mypy-0.930-cp37-cp37m-win_amd64.whl", hash = "sha256:601f46593f627f8a9b944f74fd387c9b5f4266b39abad77471947069c2fc7651"},
-    {file = "mypy-0.930-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1ea7199780c1d7940b82dbc0a4e37722b4e3851264dbba81e01abecc9052d8a7"},
-    {file = "mypy-0.930-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:70b197dd8c78fc5d2daf84bd093e8466a2b2e007eedaa85e792e513a820adbf7"},
-    {file = "mypy-0.930-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5feb56f8bb280468fe5fc8e6f56f48f99aa0df9eed3c507a11505ee4657b5380"},
-    {file = "mypy-0.930-cp38-cp38-win_amd64.whl", hash = "sha256:2e9c5409e9cb81049bb03fa1009b573dea87976713e3898561567a86c4eaee01"},
-    {file = "mypy-0.930-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:554873e45c1ca20f31ddf873deb67fa5d2e87b76b97db50669f0468ccded8fae"},
-    {file = "mypy-0.930-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0feb82e9fa849affca7edd24713dbe809dce780ced9f3feca5ed3d80e40b777f"},
-    {file = "mypy-0.930-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:bc1a0607ea03c30225347334af66b0af12eefba018a89a88c209e02b7065ea95"},
-    {file = "mypy-0.930-cp39-cp39-win_amd64.whl", hash = "sha256:f9f665d69034b1fcfdbcd4197480d26298bbfb5d2dfe206245b6498addb34999"},
-    {file = "mypy-0.930-py3-none-any.whl", hash = "sha256:bf4a44e03040206f7c058d1f5ba02ef2d1820720c88bc4285c7d9a4269f54173"},
-    {file = "mypy-0.930.tar.gz", hash = "sha256:51426262ae4714cc7dd5439814676e0992b55bcc0f6514eccb4cf8e0678962c2"},
+    {file = "mypy-0.942-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5bf44840fb43ac4074636fd47ee476d73f0039f4f54e86d7265077dc199be24d"},
+    {file = "mypy-0.942-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dcd955f36e0180258a96f880348fbca54ce092b40fbb4b37372ae3b25a0b0a46"},
+    {file = "mypy-0.942-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6776e5fa22381cc761df53e7496a805801c1a751b27b99a9ff2f0ca848c7eca0"},
+    {file = "mypy-0.942-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:edf7237137a1a9330046dbb14796963d734dd740a98d5e144a3eb1d267f5f9ee"},
+    {file = "mypy-0.942-cp310-cp310-win_amd64.whl", hash = "sha256:64235137edc16bee6f095aba73be5334677d6f6bdb7fa03cfab90164fa294a17"},
+    {file = "mypy-0.942-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:b840cfe89c4ab6386c40300689cd8645fc8d2d5f20101c7f8bd23d15fca14904"},
+    {file = "mypy-0.942-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2b184db8c618c43c3a31b32ff00cd28195d39e9c24e7c3b401f3db7f6e5767f5"},
+    {file = "mypy-0.942-cp36-cp36m-win_amd64.whl", hash = "sha256:1a0459c333f00e6a11cbf6b468b870c2b99a906cb72d6eadf3d1d95d38c9352c"},
+    {file = "mypy-0.942-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:4c3e497588afccfa4334a9986b56f703e75793133c4be3a02d06a3df16b67a58"},
+    {file = "mypy-0.942-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6f6ad963172152e112b87cc7ec103ba0f2db2f1cd8997237827c052a3903eaa6"},
+    {file = "mypy-0.942-cp37-cp37m-win_amd64.whl", hash = "sha256:0e2dd88410937423fba18e57147dd07cd8381291b93d5b1984626f173a26543e"},
+    {file = "mypy-0.942-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:246e1aa127d5b78488a4a0594bd95f6d6fb9d63cf08a66dafbff8595d8891f67"},
+    {file = "mypy-0.942-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d8d3ba77e56b84cd47a8ee45b62c84b6d80d32383928fe2548c9a124ea0a725c"},
+    {file = "mypy-0.942-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:2bc249409a7168d37c658e062e1ab5173300984a2dada2589638568ddc1db02b"},
+    {file = "mypy-0.942-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:9521c1265ccaaa1791d2c13582f06facf815f426cd8b07c3a485f486a8ffc1f3"},
+    {file = "mypy-0.942-cp38-cp38-win_amd64.whl", hash = "sha256:e865fec858d75b78b4d63266c9aff770ecb6a39dfb6d6b56c47f7f8aba6baba8"},
+    {file = "mypy-0.942-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:6ce34a118d1a898f47def970a2042b8af6bdcc01546454726c7dd2171aa6dfca"},
+    {file = "mypy-0.942-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:10daab80bc40f84e3f087d896cdb53dc811a9f04eae4b3f95779c26edee89d16"},
+    {file = "mypy-0.942-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3841b5433ff936bff2f4dc8d54cf2cdbfea5d8e88cedfac45c161368e5770ba6"},
+    {file = "mypy-0.942-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6f7106cbf9cc2f403693bf50ed7c9fa5bb3dfa9007b240db3c910929abe2a322"},
+    {file = "mypy-0.942-cp39-cp39-win_amd64.whl", hash = "sha256:7742d2c4e46bb5017b51c810283a6a389296cda03df805a4f7869a6f41246534"},
+    {file = "mypy-0.942-py3-none-any.whl", hash = "sha256:a1b383fe99678d7402754fe90448d4037f9512ce70c21f8aee3b8bf48ffc51db"},
+    {file = "mypy-0.942.tar.gz", hash = "sha256:17e44649fec92e9f82102b48a3bf7b4a5510ad0cd22fa21a104826b5db4903e2"},
 ]
 mypy-extensions = [
     {file = "mypy_extensions-0.4.3-py2.py3-none-any.whl", hash = "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d"},
@@ -1426,16 +1465,16 @@ nbformat = [
     {file = "nbformat-5.1.3.tar.gz", hash = "sha256:b516788ad70771c6250977c1374fcca6edebe6126fd2adb5a69aa5c2356fd1c8"},
 ]
 nest-asyncio = [
-    {file = "nest_asyncio-1.5.4-py3-none-any.whl", hash = "sha256:3fdd0d6061a2bb16f21fe8a9c6a7945be83521d81a0d15cff52e9edee50101d6"},
-    {file = "nest_asyncio-1.5.4.tar.gz", hash = "sha256:f969f6013a16fadb4adcf09d11a68a4f617c6049d7af7ac2c676110169a63abd"},
+    {file = "nest_asyncio-1.5.5-py3-none-any.whl", hash = "sha256:b98e3ec1b246135e4642eceffa5a6c23a3ab12c82ff816a92c612d68205813b2"},
+    {file = "nest_asyncio-1.5.5.tar.gz", hash = "sha256:e442291cd942698be619823a17a86a5759eabe1f8613084790de189fe9e16d65"},
 ]
 nodeenv = [
     {file = "nodeenv-1.6.0-py2.py3-none-any.whl", hash = "sha256:621e6b7076565ddcacd2db0294c0381e01fd28945ab36bcf00f41c5daf63bef7"},
     {file = "nodeenv-1.6.0.tar.gz", hash = "sha256:3ef13ff90291ba2a4a7a4ff9a979b63ffdd00a464dbe04acf0ea6471517a4c2b"},
 ]
 notebook = [
-    {file = "notebook-6.4.6-py3-none-any.whl", hash = "sha256:5cad068fa82cd4fb98d341c052100ed50cd69fbfb4118cb9b8ab5a346ef27551"},
-    {file = "notebook-6.4.6.tar.gz", hash = "sha256:7bcdf79bd1cda534735bd9830d2cbedab4ee34d8fe1df6e7b946b3aab0902ba3"},
+    {file = "notebook-6.4.10-py3-none-any.whl", hash = "sha256:49cead814bff0945fcb2ee07579259418672ac175d3dc3d8102a4b0a656ed4df"},
+    {file = "notebook-6.4.10.tar.gz", hash = "sha256:2408a76bc6289283a8eecfca67e298ec83c67db51a4c2e1b713dd180bb39e90e"},
 ]
 packaging = [
     {file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
@@ -1470,16 +1509,16 @@ pluggy = [
     {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"},
 ]
 pre-commit = [
-    {file = "pre_commit-2.16.0-py2.py3-none-any.whl", hash = "sha256:758d1dc9b62c2ed8881585c254976d66eae0889919ab9b859064fc2fe3c7743e"},
-    {file = "pre_commit-2.16.0.tar.gz", hash = "sha256:fe9897cac830aa7164dbd02a4e7b90cae49630451ce88464bca73db486ba9f65"},
+    {file = "pre_commit-2.17.0-py2.py3-none-any.whl", hash = "sha256:725fa7459782d7bec5ead072810e47351de01709be838c2ce1726b9591dad616"},
+    {file = "pre_commit-2.17.0.tar.gz", hash = "sha256:c1a8040ff15ad3d648c70cc3e55b93e4d2d5b687320955505587fd79bbaed06a"},
 ]
 prometheus-client = [
-    {file = "prometheus_client-0.12.0-py2.py3-none-any.whl", hash = "sha256:317453ebabff0a1b02df7f708efbab21e3489e7072b61cb6957230dd004a0af0"},
-    {file = "prometheus_client-0.12.0.tar.gz", hash = "sha256:1b12ba48cee33b9b0b9de64a1047cbd3c5f2d0ab6ebcead7ddda613a750ec3c5"},
+    {file = "prometheus_client-0.13.1-py3-none-any.whl", hash = "sha256:357a447fd2359b0a1d2e9b311a0c5778c330cfbe186d880ad5a6b39884652316"},
+    {file = "prometheus_client-0.13.1.tar.gz", hash = "sha256:ada41b891b79fca5638bd5cfe149efa86512eaa55987893becd2c6d8d0a5dfc5"},
 ]
 prompt-toolkit = [
-    {file = "prompt_toolkit-3.0.24-py3-none-any.whl", hash = "sha256:e56f2ff799bacecd3e88165b1e2f5ebf9bcd59e80e06d395fa0cc4b8bd7bb506"},
-    {file = "prompt_toolkit-3.0.24.tar.gz", hash = "sha256:1bb05628c7d87b645974a1bad3f17612be0c29fa39af9f7688030163f680bad6"},
+    {file = "prompt_toolkit-3.0.28-py3-none-any.whl", hash = "sha256:30129d870dcb0b3b6a53efdc9d0a83ea96162ffd28ffe077e94215b233dc670c"},
+    {file = "prompt_toolkit-3.0.28.tar.gz", hash = "sha256:9f1cd16b1e86c2968f2519d7fb31dd9d669916f515612c269d14e9ed52b51650"},
 ]
 ptyprocess = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
@@ -1498,8 +1537,8 @@ pygments = [
     {file = "Pygments-2.11.2.tar.gz", hash = "sha256:4e426f72023d88d03b2fa258de560726ce890ff3b630f88c21cbb8b2503b8c6a"},
 ]
 pyparsing = [
-    {file = "pyparsing-3.0.6-py3-none-any.whl", hash = "sha256:04ff808a5b90911829c55c4e26f75fa5ca8a2f5f36aa3a51f68e27033341d3e4"},
-    {file = "pyparsing-3.0.6.tar.gz", hash = "sha256:d9bdec0013ef1eb5a84ab39a3b3868911598afa494f5faa038647101504e2b81"},
+    {file = "pyparsing-3.0.7-py3-none-any.whl", hash = "sha256:a6c06a88f252e6c322f65faf8f418b16213b51bdfaece0524c1c1bc30c63c484"},
+    {file = "pyparsing-3.0.7.tar.gz", hash = "sha256:18ee9022775d270c55187733956460083db60b37d0d0fb357445f3094eed3eea"},
 ]
 pyrsistent = [
     {file = "pyrsistent-0.18.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:f4c8cabb46ff8e5d61f56a037974228e978f26bfefce4f61a4b1ac0ba7a2ab72"},
@@ -1525,8 +1564,8 @@ pyrsistent = [
     {file = "pyrsistent-0.18.0.tar.gz", hash = "sha256:773c781216f8c2900b42a7b638d5b517bb134ae1acbebe4d1e8f1f41ea60eb4b"},
 ]
 pytest = [
-    {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
-    {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
+    {file = "pytest-7.0.1-py3-none-any.whl", hash = "sha256:9ce3ff477af913ecf6321fe337b93a2c0dcf2a0a1439c43f5452112c1e4280db"},
+    {file = "pytest-7.0.1.tar.gz", hash = "sha256:e30905a0c131d3d94b89624a1cc5afec3e0ba2fbdb151867d8e0ebd49850f171"},
 ]
 pytest-cov = [
     {file = "pytest-cov-3.0.0.tar.gz", hash = "sha256:e7f0f5b1617d2210a2cabc266dfe2f4c75a8d32fb89eafb7ad9d06f6d076d470"},
@@ -1537,24 +1576,25 @@ python-dateutil = [
     {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
 ]
 pywin32 = [
-    {file = "pywin32-302-cp310-cp310-win32.whl", hash = "sha256:251b7a9367355ccd1a4cd69cd8dd24bd57b29ad83edb2957cfa30f7ed9941efa"},
-    {file = "pywin32-302-cp310-cp310-win_amd64.whl", hash = "sha256:79cf7e6ddaaf1cd47a9e50cc74b5d770801a9db6594464137b1b86aa91edafcc"},
-    {file = "pywin32-302-cp36-cp36m-win32.whl", hash = "sha256:fe21c2fb332d03dac29de070f191bdbf14095167f8f2165fdc57db59b1ecc006"},
-    {file = "pywin32-302-cp36-cp36m-win_amd64.whl", hash = "sha256:d3761ab4e8c5c2dbc156e2c9ccf38dd51f936dc77e58deb940ffbc4b82a30528"},
-    {file = "pywin32-302-cp37-cp37m-win32.whl", hash = "sha256:48dd4e348f1ee9538dd4440bf201ea8c110ea6d9f3a5010d79452e9fa80480d9"},
-    {file = "pywin32-302-cp37-cp37m-win_amd64.whl", hash = "sha256:496df89f10c054c9285cc99f9d509e243f4e14ec8dfc6d78c9f0bf147a893ab1"},
-    {file = "pywin32-302-cp38-cp38-win32.whl", hash = "sha256:e372e477d938a49266136bff78279ed14445e00718b6c75543334351bf535259"},
-    {file = "pywin32-302-cp38-cp38-win_amd64.whl", hash = "sha256:543552e66936378bd2d673c5a0a3d9903dba0b0a87235ef0c584f058ceef5872"},
-    {file = "pywin32-302-cp39-cp39-win32.whl", hash = "sha256:2393c1a40dc4497fd6161b76801b8acd727c5610167762b7c3e9fd058ef4a6ab"},
-    {file = "pywin32-302-cp39-cp39-win_amd64.whl", hash = "sha256:af5aea18167a31efcacc9f98a2ca932c6b6a6d91ebe31f007509e293dea12580"},
+    {file = "pywin32-303-cp310-cp310-win32.whl", hash = "sha256:6fed4af057039f309263fd3285d7b8042d41507343cd5fa781d98fcc5b90e8bb"},
+    {file = "pywin32-303-cp310-cp310-win_amd64.whl", hash = "sha256:51cb52c5ec6709f96c3f26e7795b0bf169ee0d8395b2c1d7eb2c029a5008ed51"},
+    {file = "pywin32-303-cp311-cp311-win32.whl", hash = "sha256:d9b5d87ca944eb3aa4cd45516203ead4b37ab06b8b777c54aedc35975dec0dee"},
+    {file = "pywin32-303-cp311-cp311-win_amd64.whl", hash = "sha256:fcf44032f5b14fcda86028cdf49b6ebdaea091230eb0a757282aa656e4732439"},
+    {file = "pywin32-303-cp36-cp36m-win32.whl", hash = "sha256:aad484d52ec58008ca36bd4ad14a71d7dd0a99db1a4ca71072213f63bf49c7d9"},
+    {file = "pywin32-303-cp36-cp36m-win_amd64.whl", hash = "sha256:2a09632916b6bb231ba49983fe989f2f625cea237219530e81a69239cd0c4559"},
+    {file = "pywin32-303-cp37-cp37m-win32.whl", hash = "sha256:b1675d82bcf6dbc96363fca747bac8bff6f6e4a447a4287ac652aa4b9adc796e"},
+    {file = "pywin32-303-cp37-cp37m-win_amd64.whl", hash = "sha256:c268040769b48a13367221fced6d4232ed52f044ffafeda247bd9d2c6bdc29ca"},
+    {file = "pywin32-303-cp38-cp38-win32.whl", hash = "sha256:5f9ec054f5a46a0f4dfd72af2ce1372f3d5a6e4052af20b858aa7df2df7d355b"},
+    {file = "pywin32-303-cp38-cp38-win_amd64.whl", hash = "sha256:793bf74fce164bcffd9d57bb13c2c15d56e43c9542a7b9687b4fccf8f8a41aba"},
+    {file = "pywin32-303-cp39-cp39-win32.whl", hash = "sha256:7d3271c98434617a11921c5ccf74615794d97b079e22ed7773790822735cc352"},
+    {file = "pywin32-303-cp39-cp39-win_amd64.whl", hash = "sha256:79cbb862c11b9af19bcb682891c1b91942ec2ff7de8151e2aea2e175899cda34"},
 ]
 pywinpty = [
-    {file = "pywinpty-1.1.6-cp310-none-win_amd64.whl", hash = "sha256:5f526f21b569b5610a61e3b6126259c76da979399598e5154498582df3736ade"},
-    {file = "pywinpty-1.1.6-cp36-none-win_amd64.whl", hash = "sha256:7576e14f42b31fa98b62d24ded79754d2ea4625570c016b38eb347ce158a30f2"},
-    {file = "pywinpty-1.1.6-cp37-none-win_amd64.whl", hash = "sha256:979ffdb9bdbe23db3f46fc7285fd6dbb86b80c12325a50582b211b3894072354"},
-    {file = "pywinpty-1.1.6-cp38-none-win_amd64.whl", hash = "sha256:2308b1fc77545427610a705799d4ead5e7f00874af3fb148a03e202437456a7e"},
-    {file = "pywinpty-1.1.6-cp39-none-win_amd64.whl", hash = "sha256:c703bf569a98ab7844b9daf37e88ab86f31862754ef6910a8b3824993a525c72"},
-    {file = "pywinpty-1.1.6.tar.gz", hash = "sha256:8808f07350c709119cc4464144d6e749637f98e15acc1e5d3c37db1953d2eebc"},
+    {file = "pywinpty-2.0.3-cp310-none-win_amd64.whl", hash = "sha256:7a330ef7a2ce284370b1a1fdd2a80c523585464fa5e5ab934c9f27220fa7feab"},
+    {file = "pywinpty-2.0.3-cp37-none-win_amd64.whl", hash = "sha256:6455f1075f978942d318f95616661c605d5e0f991c5b176c0c852d237aafefc0"},
+    {file = "pywinpty-2.0.3-cp38-none-win_amd64.whl", hash = "sha256:2e7a288a8121393c526d4e6ec7d65edef75d68c7787ab9560e438df867b75a5d"},
+    {file = "pywinpty-2.0.3-cp39-none-win_amd64.whl", hash = "sha256:def51627e6aa659f33ea7a0ea4c6b68365c83af4aad7940600f844746817a0ed"},
+    {file = "pywinpty-2.0.3.tar.gz", hash = "sha256:6b29a826e896105370c38d53904c3aaac6c36146a50448fc0ed5082cf9d092bc"},
 ]
 pyyaml = [
     {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
@@ -1649,20 +1689,20 @@ six = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 terminado = [
-    {file = "terminado-0.12.1-py3-none-any.whl", hash = "sha256:09fdde344324a1c9c6e610ee4ca165c4bb7f5bbf982fceeeb38998a988ef8452"},
-    {file = "terminado-0.12.1.tar.gz", hash = "sha256:b20fd93cc57c1678c799799d117874367cc07a3d2d55be95205b1a88fa08393f"},
+    {file = "terminado-0.13.0-py3-none-any.whl", hash = "sha256:50a18654ad0cff153fdeb58711c9a7b25e0e2b74fb721dbaddd9e80d5612fac6"},
+    {file = "terminado-0.13.0.tar.gz", hash = "sha256:713531ccb5db7d4f544651f14050da79809030f00d1afa21462088cf32fb143a"},
 ]
 testpath = [
-    {file = "testpath-0.5.0-py3-none-any.whl", hash = "sha256:8044f9a0bab6567fc644a3593164e872543bb44225b0e24846e2c89237937589"},
-    {file = "testpath-0.5.0.tar.gz", hash = "sha256:1acf7a0bcd3004ae8357409fc33751e16d37ccc650921da1094a86581ad1e417"},
+    {file = "testpath-0.6.0-py3-none-any.whl", hash = "sha256:8ada9f80a2ac6fb0391aa7cdb1a7d11cfa8429f693eda83f74dde570fe6fa639"},
+    {file = "testpath-0.6.0.tar.gz", hash = "sha256:2f1b97e6442c02681ebe01bd84f531028a7caea1af3825000f52345c30285e0f"},
 ]
 toml = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
 ]
 tomli = [
-    {file = "tomli-1.2.2-py3-none-any.whl", hash = "sha256:f04066f68f5554911363063a30b108d2b5a5b1a010aa8b6132af78489fe3aade"},
-    {file = "tomli-1.2.2.tar.gz", hash = "sha256:c6ce0015eb38820eaf32b5db832dbc26deb3dd427bd5f6556cf0acac2c214fee"},
+    {file = "tomli-1.2.3-py3-none-any.whl", hash = "sha256:e3069e4be3ead9668e21cb9b074cd948f7b3113fd9c8bba083f48247aab8b11c"},
+    {file = "tomli-1.2.3.tar.gz", hash = "sha256:05b6166bff487dc068d322585c7ea4ef78deed501cc124060e0f238e89a9231f"},
 ]
 tornado = [
     {file = "tornado-6.1-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32"},
@@ -1712,48 +1752,42 @@ traitlets = [
     {file = "traitlets-4.3.3.tar.gz", hash = "sha256:d023ee369ddd2763310e4c3eae1ff649689440d4ae59d7485eb4cfbbe3e359f7"},
 ]
 typed-ast = [
-    {file = "typed_ast-1.4.3-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:2068531575a125b87a41802130fa7e29f26c09a2833fea68d9a40cf33902eba6"},
-    {file = "typed_ast-1.4.3-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:c907f561b1e83e93fad565bac5ba9c22d96a54e7ea0267c708bffe863cbe4075"},
-    {file = "typed_ast-1.4.3-cp35-cp35m-manylinux2014_aarch64.whl", hash = "sha256:1b3ead4a96c9101bef08f9f7d1217c096f31667617b58de957f690c92378b528"},
-    {file = "typed_ast-1.4.3-cp35-cp35m-win32.whl", hash = "sha256:dde816ca9dac1d9c01dd504ea5967821606f02e510438120091b84e852367428"},
-    {file = "typed_ast-1.4.3-cp35-cp35m-win_amd64.whl", hash = "sha256:777a26c84bea6cd934422ac2e3b78863a37017618b6e5c08f92ef69853e765d3"},
-    {file = "typed_ast-1.4.3-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:f8afcf15cc511ada719a88e013cec87c11aff7b91f019295eb4530f96fe5ef2f"},
-    {file = "typed_ast-1.4.3-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:52b1eb8c83f178ab787f3a4283f68258525f8d70f778a2f6dd54d3b5e5fb4341"},
-    {file = "typed_ast-1.4.3-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:01ae5f73431d21eead5015997ab41afa53aa1fbe252f9da060be5dad2c730ace"},
-    {file = "typed_ast-1.4.3-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:c190f0899e9f9f8b6b7863debfb739abcb21a5c054f911ca3596d12b8a4c4c7f"},
-    {file = "typed_ast-1.4.3-cp36-cp36m-win32.whl", hash = "sha256:398e44cd480f4d2b7ee8d98385ca104e35c81525dd98c519acff1b79bdaac363"},
-    {file = "typed_ast-1.4.3-cp36-cp36m-win_amd64.whl", hash = "sha256:bff6ad71c81b3bba8fa35f0f1921fb24ff4476235a6e94a26ada2e54370e6da7"},
-    {file = "typed_ast-1.4.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0fb71b8c643187d7492c1f8352f2c15b4c4af3f6338f21681d3681b3dc31a266"},
-    {file = "typed_ast-1.4.3-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:760ad187b1041a154f0e4d0f6aae3e40fdb51d6de16e5c99aedadd9246450e9e"},
-    {file = "typed_ast-1.4.3-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:5feca99c17af94057417d744607b82dd0a664fd5e4ca98061480fd8b14b18d04"},
-    {file = "typed_ast-1.4.3-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:95431a26309a21874005845c21118c83991c63ea800dd44843e42a916aec5899"},
-    {file = "typed_ast-1.4.3-cp37-cp37m-win32.whl", hash = "sha256:aee0c1256be6c07bd3e1263ff920c325b59849dc95392a05f258bb9b259cf39c"},
-    {file = "typed_ast-1.4.3-cp37-cp37m-win_amd64.whl", hash = "sha256:9ad2c92ec681e02baf81fdfa056fe0d818645efa9af1f1cd5fd6f1bd2bdfd805"},
-    {file = "typed_ast-1.4.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b36b4f3920103a25e1d5d024d155c504080959582b928e91cb608a65c3a49e1a"},
-    {file = "typed_ast-1.4.3-cp38-cp38-manylinux1_i686.whl", hash = "sha256:067a74454df670dcaa4e59349a2e5c81e567d8d65458d480a5b3dfecec08c5ff"},
-    {file = "typed_ast-1.4.3-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7538e495704e2ccda9b234b82423a4038f324f3a10c43bc088a1636180f11a41"},
-    {file = "typed_ast-1.4.3-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:af3d4a73793725138d6b334d9d247ce7e5f084d96284ed23f22ee626a7b88e39"},
-    {file = "typed_ast-1.4.3-cp38-cp38-win32.whl", hash = "sha256:f2362f3cb0f3172c42938946dbc5b7843c2a28aec307c49100c8b38764eb6927"},
-    {file = "typed_ast-1.4.3-cp38-cp38-win_amd64.whl", hash = "sha256:dd4a21253f42b8d2b48410cb31fe501d32f8b9fbeb1f55063ad102fe9c425e40"},
-    {file = "typed_ast-1.4.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f328adcfebed9f11301eaedfa48e15bdece9b519fb27e6a8c01aa52a17ec31b3"},
-    {file = "typed_ast-1.4.3-cp39-cp39-manylinux1_i686.whl", hash = "sha256:2c726c276d09fc5c414693a2de063f521052d9ea7c240ce553316f70656c84d4"},
-    {file = "typed_ast-1.4.3-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:cae53c389825d3b46fb37538441f75d6aecc4174f615d048321b716df2757fb0"},
-    {file = "typed_ast-1.4.3-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:b9574c6f03f685070d859e75c7f9eeca02d6933273b5e69572e5ff9d5e3931c3"},
-    {file = "typed_ast-1.4.3-cp39-cp39-win32.whl", hash = "sha256:209596a4ec71d990d71d5e0d312ac935d86930e6eecff6ccc7007fe54d703808"},
-    {file = "typed_ast-1.4.3-cp39-cp39-win_amd64.whl", hash = "sha256:9c6d1a54552b5330bc657b7ef0eae25d00ba7ffe85d9ea8ae6540d2197a3788c"},
-    {file = "typed_ast-1.4.3.tar.gz", hash = "sha256:fb1bbeac803adea29cedd70781399c99138358c26d05fcbd23c13016b7f5ec65"},
+    {file = "typed_ast-1.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:183b183b7771a508395d2cbffd6db67d6ad52958a5fdc99f450d954003900266"},
+    {file = "typed_ast-1.5.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:676d051b1da67a852c0447621fdd11c4e104827417bf216092ec3e286f7da596"},
+    {file = "typed_ast-1.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bc2542e83ac8399752bc16e0b35e038bdb659ba237f4222616b4e83fb9654985"},
+    {file = "typed_ast-1.5.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:74cac86cc586db8dfda0ce65d8bcd2bf17b58668dfcc3652762f3ef0e6677e76"},
+    {file = "typed_ast-1.5.2-cp310-cp310-win_amd64.whl", hash = "sha256:18fe320f354d6f9ad3147859b6e16649a0781425268c4dde596093177660e71a"},
+    {file = "typed_ast-1.5.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:31d8c6b2df19a777bc8826770b872a45a1f30cfefcfd729491baa5237faae837"},
+    {file = "typed_ast-1.5.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:963a0ccc9a4188524e6e6d39b12c9ca24cc2d45a71cfdd04a26d883c922b4b78"},
+    {file = "typed_ast-1.5.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:0eb77764ea470f14fcbb89d51bc6bbf5e7623446ac4ed06cbd9ca9495b62e36e"},
+    {file = "typed_ast-1.5.2-cp36-cp36m-win_amd64.whl", hash = "sha256:294a6903a4d087db805a7656989f613371915fc45c8cc0ddc5c5a0a8ad9bea4d"},
+    {file = "typed_ast-1.5.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:26a432dc219c6b6f38be20a958cbe1abffcc5492821d7e27f08606ef99e0dffd"},
+    {file = "typed_ast-1.5.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7407cfcad702f0b6c0e0f3e7ab876cd1d2c13b14ce770e412c0c4b9728a0f88"},
+    {file = "typed_ast-1.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f30ddd110634c2d7534b2d4e0e22967e88366b0d356b24de87419cc4410c41b7"},
+    {file = "typed_ast-1.5.2-cp37-cp37m-win_amd64.whl", hash = "sha256:8c08d6625bb258179b6e512f55ad20f9dfef019bbfbe3095247401e053a3ea30"},
+    {file = "typed_ast-1.5.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:90904d889ab8e81a956f2c0935a523cc4e077c7847a836abee832f868d5c26a4"},
+    {file = "typed_ast-1.5.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bbebc31bf11762b63bf61aaae232becb41c5bf6b3461b80a4df7e791fabb3aca"},
+    {file = "typed_ast-1.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c29dd9a3a9d259c9fa19d19738d021632d673f6ed9b35a739f48e5f807f264fb"},
+    {file = "typed_ast-1.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:58ae097a325e9bb7a684572d20eb3e1809802c5c9ec7108e85da1eb6c1a3331b"},
+    {file = "typed_ast-1.5.2-cp38-cp38-win_amd64.whl", hash = "sha256:da0a98d458010bf4fe535f2d1e367a2e2060e105978873c04c04212fb20543f7"},
+    {file = "typed_ast-1.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:33b4a19ddc9fc551ebabca9765d54d04600c4a50eda13893dadf67ed81d9a098"},
+    {file = "typed_ast-1.5.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1098df9a0592dd4c8c0ccfc2e98931278a6c6c53cb3a3e2cf7e9ee3b06153344"},
+    {file = "typed_ast-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42c47c3b43fe3a39ddf8de1d40dbbfca60ac8530a36c9b198ea5b9efac75c09e"},
+    {file = "typed_ast-1.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f290617f74a610849bd8f5514e34ae3d09eafd521dceaa6cf68b3f4414266d4e"},
+    {file = "typed_ast-1.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:df05aa5b241e2e8045f5f4367a9f6187b09c4cdf8578bb219861c4e27c443db5"},
+    {file = "typed_ast-1.5.2.tar.gz", hash = "sha256:525a2d4088e70a9f75b08b3f87a51acc9cde640e19cc523c7e41aa355564ae27"},
 ]
 types-dataclasses = [
     {file = "types-dataclasses-0.6.4.tar.gz", hash = "sha256:2f7ab6c565cf05cc7f27f31a4c2fcc803384e319aab292807b857ddf1473429f"},
     {file = "types_dataclasses-0.6.4-py3-none-any.whl", hash = "sha256:fef6ed4742ca27996530c6d549cd704772a4a86e4781841c9bb387001e369ec3"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.0.1-py3-none-any.whl", hash = "sha256:7f001e5ac290a0c0401508864c7ec868be4e701886d5b573a9528ed3973d9d3b"},
-    {file = "typing_extensions-4.0.1.tar.gz", hash = "sha256:4ca091dea149f945ec56afb48dae714f21e8692ef22a395223bcd328961b6a0e"},
+    {file = "typing_extensions-4.1.1-py3-none-any.whl", hash = "sha256:21c85e0fe4b9a155d0799430b0ad741cdce7e359660ccbd8b530613e8df88ce2"},
+    {file = "typing_extensions-4.1.1.tar.gz", hash = "sha256:1a9462dcc3347a79b1f1c0271fbe79e844580bb598bafa1ed208b94da3cdcd42"},
 ]
 virtualenv = [
-    {file = "virtualenv-20.13.0-py2.py3-none-any.whl", hash = "sha256:339f16c4a86b44240ba7223d0f93a7887c3ca04b5f9c8129da7958447d079b09"},
-    {file = "virtualenv-20.13.0.tar.gz", hash = "sha256:d8458cf8d59d0ea495ad9b34c2599487f8a7772d796f9910858376d1600dd2dd"},
+    {file = "virtualenv-20.14.0-py2.py3-none-any.whl", hash = "sha256:1e8588f35e8b42c6ec6841a13c5e88239de1e6e4e4cedfd3916b306dc826ec66"},
+    {file = "virtualenv-20.14.0.tar.gz", hash = "sha256:8e5b402037287126e81ccde9432b95a8be5b19d36584f64957060a3488c11ca8"},
 ]
 wcwidth = [
     {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
@@ -1764,8 +1798,8 @@ webencodings = [
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
 ]
 widgetsnbextension = [
-    {file = "widgetsnbextension-3.5.2-py2.py3-none-any.whl", hash = "sha256:763a9fdc836d141fa080005a886d63f66f73d56dba1fb5961afc239c77708569"},
-    {file = "widgetsnbextension-3.5.2.tar.gz", hash = "sha256:e0731a60ba540cd19bbbefe771a9076dcd2dde90713a8f87f27f53f2d1db7727"},
+    {file = "widgetsnbextension-3.6.0-py2.py3-none-any.whl", hash = "sha256:4fd321cad39fdcf8a8e248a657202d42917ada8e8ed5dd3f60f073e0d54ceabd"},
+    {file = "widgetsnbextension-3.6.0.tar.gz", hash = "sha256:e84a7a9fcb9baf3d57106e184a7389a8f8eb935bf741a5eb9d60aa18cc029a80"},
 ]
 zipp = [
     {file = "zipp-3.6.0-py3-none-any.whl", hash = "sha256:9fe5ea21568a0a70e50f273397638d39b03353731e6cbbb3fd8502a33fec40bc"},
diff --git a/pyproject.toml b/pyproject.toml
index 4b221c35b6..c7dc094876 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -2,7 +2,7 @@
 name = "rich"
 homepage = "https://github.com/willmcgugan/rich"
 documentation = "https://rich.readthedocs.io/en/latest/"
-version = "11.2.0"
+version = "12.3.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 authors = ["Will McGugan "]
 license = "MIT"
@@ -26,12 +26,11 @@ include = ["rich/py.typed"]
 
 
 [tool.poetry.dependencies]
-python = "^3.6.2"
-typing-extensions = { version = ">=3.7.4, <5.0", python = "<3.8" }
+python = "^3.6.3"
+typing-extensions = { version = ">=4.0.0, <5.0", python = "<3.9" }
 dataclasses = { version = ">=0.7,<0.9", python = "<3.7" }
 pygments = "^2.6.0"
 commonmark = "^0.9.0"
-colorama = "^0.4.0"
 ipywidgets = { version = "^7.5.1", optional = true }
 
 
@@ -39,14 +38,26 @@ ipywidgets = { version = "^7.5.1", optional = true }
 jupyter = ["ipywidgets"]
 
 [tool.poetry.dev-dependencies]
-pytest = "^6.2.5"
-black = "^21.11b1"
-mypy = "^0.930"
+pytest = "^7.0.0"
+black = "^22.3"
+mypy = "^0.942"
 pytest-cov = "^3.0.0"
 attrs = "^21.4.0"
 types-dataclasses = "^0.6.4"
-pre-commit = "^2.16.0"
+pre-commit = "^2.17.0"
+asv = "^0.5.1"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
+
+
+[tool.mypy]
+files = ["rich"]
+show_error_codes = true
+strict = true
+enable_error_code = ["ignore-without-code", "redundant-expr", "truthy-bool"]
+
+[[tool.mypy.overrides]]
+module = ["pygments.*", "IPython.*", "commonmark.*", "ipywidgets.*"]
+ignore_missing_imports = true
diff --git a/rich/__init__.py b/rich/__init__.py
index ed11f5d7ea..07bc1a1920 100644
--- a/rich/__init__.py
+++ b/rich/__init__.py
@@ -1,9 +1,9 @@
 """Rich text and beautiful formatting in the terminal."""
 
 import os
-from typing import Callable, IO, TYPE_CHECKING, Any, Optional
+from typing import IO, TYPE_CHECKING, Any, Callable, Optional, Union
 
-from ._extension import load_ipython_extension
+from ._extension import load_ipython_extension  # noqa: F401
 
 __all__ = ["get_console", "reconfigure", "print", "inspect"]
 
@@ -13,7 +13,11 @@
 # Global console used by alternative print
 _console: Optional["Console"] = None
 
-_IMPORT_CWD = os.path.abspath(os.getcwd())
+try:
+    _IMPORT_CWD = os.path.abspath(os.getcwd())
+except FileNotFoundError:
+    # Can happen if the cwd has been deleted
+    _IMPORT_CWD = ""
 
 
 def get_console() -> "Console":
@@ -73,7 +77,7 @@ def print_json(
     json: Optional[str] = None,
     *,
     data: Any = None,
-    indent: int = 2,
+    indent: Union[None, int, str] = 2,
     highlight: bool = True,
     skip_keys: bool = False,
     ensure_ascii: bool = True,
diff --git a/rich/__main__.py b/rich/__main__.py
index ea6ccfd9bd..eb293a0ba3 100644
--- a/rich/__main__.py
+++ b/rich/__main__.py
@@ -51,7 +51,6 @@ def make_test_card() -> Table:
         pad_edge=False,
     )
     color_table.add_row(
-        # "[bold yellow]256[/] colors or [bold green]16.7 million[/] colors [blue](if supported by your terminal)[/].",
         (
             "✓ [bold green]4-bit color[/]\n"
             "✓ [bold blue]8-bit color[/]\n"
@@ -226,10 +225,12 @@ def iter_last(values: Iterable[T]) -> Iterable[Tuple[bool, T]]:
     console.print(test_card)
     taken = round((process_time() - start) * 1000.0, 1)
 
-    text = console.file.getvalue()
-    # https://bugs.python.org/issue37871
-    for line in text.splitlines(True):
-        print(line, end="")
+    c = Console(record=True)
+    c.print(test_card)
+    # c.save_svg(
+    #     path="/Users/darrenburns/Library/Application Support/JetBrains/PyCharm2021.3/scratches/svg_export.svg",
+    #     title="Rich can export to SVG",
+    # )
 
     print(f"rendered in {pre_cache_taken}ms (cold cache)")
     print(f"rendered in {taken}ms (warm cache)")
diff --git a/rich/_export_format.py b/rich/_export_format.py
new file mode 100644
index 0000000000..d67fc81a37
--- /dev/null
+++ b/rich/_export_format.py
@@ -0,0 +1,144 @@
+CONSOLE_HTML_FORMAT = """\
+
+
+
+
+
+
+
+    
+        
{code}

+    
+
+
+"""
+
+CONSOLE_SVG_FORMAT = """\
+
+    
+    
+        
+            

+                

+                    

+                        
+                            
+                            
+                            
+                        
+                        
{title}

+                    

+                    

+                        {code}
+                    

+                

+            

+        
+    
+
+"""
+
+_SVG_FONT_FAMILY = "Rich Fira Code"
+_SVG_CLASSES_PREFIX = "rich-svg"
diff --git a/rich/_inspect.py b/rich/_inspect.py
index b3652bfbdb..01713e5767 100644
--- a/rich/_inspect.py
+++ b/rich/_inspect.py
@@ -98,7 +98,8 @@ def _get_signature(self, name: str, obj: Any) -> Optional[Text]:
         source_filename: Optional[str] = None
         try:
             source_filename = getfile(obj)
-        except TypeError:
+        except (OSError, TypeError):
+            # OSError is raised if obj has no source file, e.g. when defined in REPL.
             pass
 
         callable_name = Text(name, style="inspect.callable")
diff --git a/rich/_lru_cache.py b/rich/_lru_cache.py
index b7bf2ce1ad..a227894352 100644
--- a/rich/_lru_cache.py
+++ b/rich/_lru_cache.py
@@ -1,12 +1,16 @@
-from collections import OrderedDict
-from typing import Dict, Generic, TypeVar
-
+from typing import Dict, Generic, TypeVar, TYPE_CHECKING
+import sys
 
 CacheKey = TypeVar("CacheKey")
 CacheValue = TypeVar("CacheValue")
 
+if sys.version_info < (3, 9):
+    from typing_extensions import OrderedDict
+else:
+    from collections import OrderedDict
+
 
-class LRUCache(Generic[CacheKey, CacheValue], OrderedDict):  # type: ignore # https://github.com/python/mypy/issues/6904
+class LRUCache(OrderedDict[CacheKey, CacheValue]):
     """
     A dictionary-like container that stores a given maximum items.
 
@@ -17,18 +21,18 @@ class LRUCache(Generic[CacheKey, CacheValue], OrderedDict):  # type: ignore # ht
 
     def __init__(self, cache_size: int) -> None:
         self.cache_size = cache_size
-        super(LRUCache, self).__init__()
+        super().__init__()
 
     def __setitem__(self, key: CacheKey, value: CacheValue) -> None:
         """Store a new views, potentially discarding an old value."""
         if key not in self:
             if len(self) >= self.cache_size:
                 self.popitem(last=False)
-        OrderedDict.__setitem__(self, key, value)
+        super().__setitem__(key, value)
 
-    def __getitem__(self: Dict[CacheKey, CacheValue], key: CacheKey) -> CacheValue:
+    def __getitem__(self, key: CacheKey) -> CacheValue:
         """Gets the item, but also makes it most recent."""
-        value: CacheValue = OrderedDict.__getitem__(self, key)
-        OrderedDict.__delitem__(self, key)
-        OrderedDict.__setitem__(self, key, value)
+        value: CacheValue = super().__getitem__(key)
+        super().__delitem__(key)
+        super().__setitem__(key, value)
         return value
diff --git a/rich/_spinners.py b/rich/_spinners.py
index dc1db0777e..d0bb1fe751 100644
--- a/rich/_spinners.py
+++ b/rich/_spinners.py
@@ -22,149 +22,36 @@
 SPINNERS = {
     "dots": {
         "interval": 80,
-        "frames": ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"],
+        "frames": "⠋⠙⠹⠸⠼⠴⠦⠧⠇⠏",
     },
-    "dots2": {"interval": 80, "frames": ["⣾", "⣽", "⣻", "⢿", "⡿", "⣟", "⣯", "⣷"]},
+    "dots2": {"interval": 80, "frames": "⣾⣽⣻⢿⡿⣟⣯⣷"},
     "dots3": {
         "interval": 80,
-        "frames": ["⠋", "⠙", "⠚", "⠞", "⠖", "⠦", "⠴", "⠲", "⠳", "⠓"],
+        "frames": "⠋⠙⠚⠞⠖⠦⠴⠲⠳⠓",
     },
     "dots4": {
         "interval": 80,
-        "frames": [
-            "⠄",
-            "⠆",
-            "⠇",
-            "⠋",
-            "⠙",
-            "⠸",
-            "⠰",
-            "⠠",
-            "⠰",
-            "⠸",
-            "⠙",
-            "⠋",
-            "⠇",
-            "⠆",
-        ],
+        "frames": "⠄⠆⠇⠋⠙⠸⠰⠠⠰⠸⠙⠋⠇⠆",
     },
     "dots5": {
         "interval": 80,
-        "frames": [
-            "⠋",
-            "⠙",
-            "⠚",
-            "⠒",
-            "⠂",
-            "⠂",
-            "⠒",
-            "⠲",
-            "⠴",
-            "⠦",
-            "⠖",
-            "⠒",
-            "⠐",
-            "⠐",
-            "⠒",
-            "⠓",
-            "⠋",
-        ],
+        "frames": "⠋⠙⠚⠒⠂⠂⠒⠲⠴⠦⠖⠒⠐⠐⠒⠓⠋",
     },
     "dots6": {
         "interval": 80,
-        "frames": [
-            "⠁",
-            "⠉",
-            "⠙",
-            "⠚",
-            "⠒",
-            "⠂",
-            "⠂",
-            "⠒",
-            "⠲",
-            "⠴",
-            "⠤",
-            "⠄",
-            "⠄",
-            "⠤",
-            "⠴",
-            "⠲",
-            "⠒",
-            "⠂",
-            "⠂",
-            "⠒",
-            "⠚",
-            "⠙",
-            "⠉",
-            "⠁",
-        ],
+        "frames": "⠁⠉⠙⠚⠒⠂⠂⠒⠲⠴⠤⠄⠄⠤⠴⠲⠒⠂⠂⠒⠚⠙⠉⠁",
     },
     "dots7": {
         "interval": 80,
-        "frames": [
-            "⠈",
-            "⠉",
-            "⠋",
-            "⠓",
-            "⠒",
-            "⠐",
-            "⠐",
-            "⠒",
-            "⠖",
-            "⠦",
-            "⠤",
-            "⠠",
-            "⠠",
-            "⠤",
-            "⠦",
-            "⠖",
-            "⠒",
-            "⠐",
-            "⠐",
-            "⠒",
-            "⠓",
-            "⠋",
-            "⠉",
-            "⠈",
-        ],
+        "frames": "⠈⠉⠋⠓⠒⠐⠐⠒⠖⠦⠤⠠⠠⠤⠦⠖⠒⠐⠐⠒⠓⠋⠉⠈",
     },
     "dots8": {
         "interval": 80,
-        "frames": [
-            "⠁",
-            "⠁",
-            "⠉",
-            "⠙",
-            "⠚",
-            "⠒",
-            "⠂",
-            "⠂",
-            "⠒",
-            "⠲",
-            "⠴",
-            "⠤",
-            "⠄",
-            "⠄",
-            "⠤",
-            "⠠",
-            "⠠",
-            "⠤",
-            "⠦",
-            "⠖",
-            "⠒",
-            "⠐",
-            "⠐",
-            "⠒",
-            "⠓",
-            "⠋",
-            "⠉",
-            "⠈",
-            "⠈",
-        ],
+        "frames": "⠁⠁⠉⠙⠚⠒⠂⠂⠒⠲⠴⠤⠄⠄⠤⠠⠠⠤⠦⠖⠒⠐⠐⠒⠓⠋⠉⠈⠈",
     },
-    "dots9": {"interval": 80, "frames": ["⢹", "⢺", "⢼", "⣸", "⣇", "⡧", "⡗", "⡏"]},
-    "dots10": {"interval": 80, "frames": ["⢄", "⢂", "⢁", "⡁", "⡈", "⡐", "⡠"]},
-    "dots11": {"interval": 100, "frames": ["⠁", "⠂", "⠄", "⡀", "⢀", "⠠", "⠐", "⠈"]},
+    "dots9": {"interval": 80, "frames": "⢹⢺⢼⣸⣇⡧⡗⡏"},
+    "dots10": {"interval": 80, "frames": "⢄⢂⢁⡁⡈⡐⡠"},
+    "dots11": {"interval": 100, "frames": "⠁⠂⠄⡀⢀⠠⠐⠈"},
     "dots12": {
         "interval": 80,
         "frames": [
@@ -228,315 +115,62 @@
     },
     "dots8Bit": {
         "interval": 80,
-        "frames": [
-            "⠀",
-            "⠁",
-            "⠂",
-            "⠃",
-            "⠄",
-            "⠅",
-            "⠆",
-            "⠇",
-            "⡀",
-            "⡁",
-            "⡂",
-            "⡃",
-            "⡄",
-            "⡅",
-            "⡆",
-            "⡇",
-            "⠈",
-            "⠉",
-            "⠊",
-            "⠋",
-            "⠌",
-            "⠍",
-            "⠎",
-            "⠏",
-            "⡈",
-            "⡉",
-            "⡊",
-            "⡋",
-            "⡌",
-            "⡍",
-            "⡎",
-            "⡏",
-            "⠐",
-            "⠑",
-            "⠒",
-            "⠓",
-            "⠔",
-            "⠕",
-            "⠖",
-            "⠗",
-            "⡐",
-            "⡑",
-            "⡒",
-            "⡓",
-            "⡔",
-            "⡕",
-            "⡖",
-            "⡗",
-            "⠘",
-            "⠙",
-            "⠚",
-            "⠛",
-            "⠜",
-            "⠝",
-            "⠞",
-            "⠟",
-            "⡘",
-            "⡙",
-            "⡚",
-            "⡛",
-            "⡜",
-            "⡝",
-            "⡞",
-            "⡟",
-            "⠠",
-            "⠡",
-            "⠢",
-            "⠣",
-            "⠤",
-            "⠥",
-            "⠦",
-            "⠧",
-            "⡠",
-            "⡡",
-            "⡢",
-            "⡣",
-            "⡤",
-            "⡥",
-            "⡦",
-            "⡧",
-            "⠨",
-            "⠩",
-            "⠪",
-            "⠫",
-            "⠬",
-            "⠭",
-            "⠮",
-            "⠯",
-            "⡨",
-            "⡩",
-            "⡪",
-            "⡫",
-            "⡬",
-            "⡭",
-            "⡮",
-            "⡯",
-            "⠰",
-            "⠱",
-            "⠲",
-            "⠳",
-            "⠴",
-            "⠵",
-            "⠶",
-            "⠷",
-            "⡰",
-            "⡱",
-            "⡲",
-            "⡳",
-            "⡴",
-            "⡵",
-            "⡶",
-            "⡷",
-            "⠸",
-            "⠹",
-            "⠺",
-            "⠻",
-            "⠼",
-            "⠽",
-            "⠾",
-            "⠿",
-            "⡸",
-            "⡹",
-            "⡺",
-            "⡻",
-            "⡼",
-            "⡽",
-            "⡾",
-            "⡿",
-            "⢀",
-            "⢁",
-            "⢂",
-            "⢃",
-            "⢄",
-            "⢅",
-            "⢆",
-            "⢇",
-            "⣀",
-            "⣁",
-            "⣂",
-            "⣃",
-            "⣄",
-            "⣅",
-            "⣆",
-            "⣇",
-            "⢈",
-            "⢉",
-            "⢊",
-            "⢋",
-            "⢌",
-            "⢍",
-            "⢎",
-            "⢏",
-            "⣈",
-            "⣉",
-            "⣊",
-            "⣋",
-            "⣌",
-            "⣍",
-            "⣎",
-            "⣏",
-            "⢐",
-            "⢑",
-            "⢒",
-            "⢓",
-            "⢔",
-            "⢕",
-            "⢖",
-            "⢗",
-            "⣐",
-            "⣑",
-            "⣒",
-            "⣓",
-            "⣔",
-            "⣕",
-            "⣖",
-            "⣗",
-            "⢘",
-            "⢙",
-            "⢚",
-            "⢛",
-            "⢜",
-            "⢝",
-            "⢞",
-            "⢟",
-            "⣘",
-            "⣙",
-            "⣚",
-            "⣛",
-            "⣜",
-            "⣝",
-            "⣞",
-            "⣟",
-            "⢠",
-            "⢡",
-            "⢢",
-            "⢣",
-            "⢤",
-            "⢥",
-            "⢦",
-            "⢧",
-            "⣠",
-            "⣡",
-            "⣢",
-            "⣣",
-            "⣤",
-            "⣥",
-            "⣦",
-            "⣧",
-            "⢨",
-            "⢩",
-            "⢪",
-            "⢫",
-            "⢬",
-            "⢭",
-            "⢮",
-            "⢯",
-            "⣨",
-            "⣩",
-            "⣪",
-            "⣫",
-            "⣬",
-            "⣭",
-            "⣮",
-            "⣯",
-            "⢰",
-            "⢱",
-            "⢲",
-            "⢳",
-            "⢴",
-            "⢵",
-            "⢶",
-            "⢷",
-            "⣰",
-            "⣱",
-            "⣲",
-            "⣳",
-            "⣴",
-            "⣵",
-            "⣶",
-            "⣷",
-            "⢸",
-            "⢹",
-            "⢺",
-            "⢻",
-            "⢼",
-            "⢽",
-            "⢾",
-            "⢿",
-            "⣸",
-            "⣹",
-            "⣺",
-            "⣻",
-            "⣼",
-            "⣽",
-            "⣾",
-            "⣿",
-        ],
+        "frames": "⠀⠁⠂⠃⠄⠅⠆⠇⡀⡁⡂⡃⡄⡅⡆⡇⠈⠉⠊⠋⠌⠍⠎⠏⡈⡉⡊⡋⡌⡍⡎⡏⠐⠑⠒⠓⠔⠕⠖⠗⡐⡑⡒⡓⡔⡕⡖⡗⠘⠙⠚⠛⠜⠝⠞⠟⡘⡙"
+        "⡚⡛⡜⡝⡞⡟⠠⠡⠢⠣⠤⠥⠦⠧⡠⡡⡢⡣⡤⡥⡦⡧⠨⠩⠪⠫⠬⠭⠮⠯⡨⡩⡪⡫⡬⡭⡮⡯⠰⠱⠲⠳⠴⠵⠶⠷⡰⡱⡲⡳⡴⡵⡶⡷⠸⠹⠺⠻"
+        "⠼⠽⠾⠿⡸⡹⡺⡻⡼⡽⡾⡿⢀⢁⢂⢃⢄⢅⢆⢇⣀⣁⣂⣃⣄⣅⣆⣇⢈⢉⢊⢋⢌⢍⢎⢏⣈⣉⣊⣋⣌⣍⣎⣏⢐⢑⢒⢓⢔⢕⢖⢗⣐⣑⣒⣓⣔⣕"
+        "⣖⣗⢘⢙⢚⢛⢜⢝⢞⢟⣘⣙⣚⣛⣜⣝⣞⣟⢠⢡⢢⢣⢤⢥⢦⢧⣠⣡⣢⣣⣤⣥⣦⣧⢨⢩⢪⢫⢬⢭⢮⢯⣨⣩⣪⣫⣬⣭⣮⣯⢰⢱⢲⢳⢴⢵⢶⢷"
+        "⣰⣱⣲⣳⣴⣵⣶⣷⢸⢹⢺⢻⢼⢽⢾⢿⣸⣹⣺⣻⣼⣽⣾⣿",
     },
     "line": {"interval": 130, "frames": ["-", "\\", "|", "/"]},
-    "line2": {"interval": 100, "frames": ["⠂", "-", "–", "—", "–", "-"]},
-    "pipe": {"interval": 100, "frames": ["┤", "┘", "┴", "└", "├", "┌", "┬", "┐"]},
+    "line2": {"interval": 100, "frames": "⠂-–—–-"},
+    "pipe": {"interval": 100, "frames": "┤┘┴└├┌┬┐"},
     "simpleDots": {"interval": 400, "frames": [".  ", ".. ", "...", "   "]},
     "simpleDotsScrolling": {
         "interval": 200,
         "frames": [".  ", ".. ", "...", " ..", "  .", "   "],
     },
-    "star": {"interval": 70, "frames": ["✶", "✸", "✹", "✺", "✹", "✷"]},
-    "star2": {"interval": 80, "frames": ["+", "x", "*"]},
+    "star": {"interval": 70, "frames": "✶✸✹✺✹✷"},
+    "star2": {"interval": 80, "frames": "+x*"},
     "flip": {
         "interval": 70,
-        "frames": ["_", "_", "_", "-", "`", "`", "'", "´", "-", "_", "_", "_"],
+        "frames": "___-``'´-___",
     },
-    "hamburger": {"interval": 100, "frames": ["☱", "☲", "☴"]},
+    "hamburger": {"interval": 100, "frames": "☱☲☴"},
     "growVertical": {
         "interval": 120,
-        "frames": ["▁", "▃", "▄", "▅", "▆", "▇", "▆", "▅", "▄", "▃"],
+        "frames": "▁▃▄▅▆▇▆▅▄▃",
     },
     "growHorizontal": {
         "interval": 120,
-        "frames": ["▏", "▎", "▍", "▌", "▋", "▊", "▉", "▊", "▋", "▌", "▍", "▎"],
+        "frames": "▏▎▍▌▋▊▉▊▋▌▍▎",
     },
-    "balloon": {"interval": 140, "frames": [" ", ".", "o", "O", "@", "*", " "]},
-    "balloon2": {"interval": 120, "frames": [".", "o", "O", "°", "O", "o", "."]},
-    "noise": {"interval": 100, "frames": ["▓", "▒", "░"]},
-    "bounce": {"interval": 120, "frames": ["⠁", "⠂", "⠄", "⠂"]},
-    "boxBounce": {"interval": 120, "frames": ["▖", "▘", "▝", "▗"]},
-    "boxBounce2": {"interval": 100, "frames": ["▌", "▀", "▐", "▄"]},
-    "triangle": {"interval": 50, "frames": ["◢", "◣", "◤", "◥"]},
-    "arc": {"interval": 100, "frames": ["◜", "◠", "◝", "◞", "◡", "◟"]},
-    "circle": {"interval": 120, "frames": ["◡", "⊙", "◠"]},
-    "squareCorners": {"interval": 180, "frames": ["◰", "◳", "◲", "◱"]},
-    "circleQuarters": {"interval": 120, "frames": ["◴", "◷", "◶", "◵"]},
-    "circleHalves": {"interval": 50, "frames": ["◐", "◓", "◑", "◒"]},
-    "squish": {"interval": 100, "frames": ["╫", "╪"]},
-    "toggle": {"interval": 250, "frames": ["⊶", "⊷"]},
-    "toggle2": {"interval": 80, "frames": ["▫", "▪"]},
-    "toggle3": {"interval": 120, "frames": ["□", "■"]},
-    "toggle4": {"interval": 100, "frames": ["■", "□", "▪", "▫"]},
-    "toggle5": {"interval": 100, "frames": ["▮", "▯"]},
-    "toggle6": {"interval": 300, "frames": ["ဝ", "၀"]},
-    "toggle7": {"interval": 80, "frames": ["⦾", "⦿"]},
-    "toggle8": {"interval": 100, "frames": ["◍", "◌"]},
-    "toggle9": {"interval": 100, "frames": ["◉", "◎"]},
-    "toggle10": {"interval": 100, "frames": ["㊂", "㊀", "㊁"]},
-    "toggle11": {"interval": 50, "frames": ["⧇", "⧆"]},
-    "toggle12": {"interval": 120, "frames": ["☗", "☖"]},
-    "toggle13": {"interval": 80, "frames": ["=", "*", "-"]},
-    "arrow": {"interval": 100, "frames": ["←", "↖", "↑", "↗", "→", "↘", "↓", "↙"]},
+    "balloon": {"interval": 140, "frames": " .oO@* "},
+    "balloon2": {"interval": 120, "frames": ".oO°Oo."},
+    "noise": {"interval": 100, "frames": "▓▒░"},
+    "bounce": {"interval": 120, "frames": "⠁⠂⠄⠂"},
+    "boxBounce": {"interval": 120, "frames": "▖▘▝▗"},
+    "boxBounce2": {"interval": 100, "frames": "▌▀▐▄"},
+    "triangle": {"interval": 50, "frames": "◢◣◤◥"},
+    "arc": {"interval": 100, "frames": "◜◠◝◞◡◟"},
+    "circle": {"interval": 120, "frames": "◡⊙◠"},
+    "squareCorners": {"interval": 180, "frames": "◰◳◲◱"},
+    "circleQuarters": {"interval": 120, "frames": "◴◷◶◵"},
+    "circleHalves": {"interval": 50, "frames": "◐◓◑◒"},
+    "squish": {"interval": 100, "frames": "╫╪"},
+    "toggle": {"interval": 250, "frames": "⊶⊷"},
+    "toggle2": {"interval": 80, "frames": "▫▪"},
+    "toggle3": {"interval": 120, "frames": "□■"},
+    "toggle4": {"interval": 100, "frames": "■□▪▫"},
+    "toggle5": {"interval": 100, "frames": "▮▯"},
+    "toggle6": {"interval": 300, "frames": "ဝ၀"},
+    "toggle7": {"interval": 80, "frames": "⦾⦿"},
+    "toggle8": {"interval": 100, "frames": "◍◌"},
+    "toggle9": {"interval": 100, "frames": "◉◎"},
+    "toggle10": {"interval": 100, "frames": "㊂㊀㊁"},
+    "toggle11": {"interval": 50, "frames": "⧇⧆"},
+    "toggle12": {"interval": 120, "frames": "☗☖"},
+    "toggle13": {"interval": 80, "frames": "=*-"},
+    "arrow": {"interval": 100, "frames": "←↖↑↗→↘↓↙"},
     "arrow2": {
         "interval": 80,
         "frames": ["⬆️ ", "↗️ ", "➡️ ", "↘️ ", "⬇️ ", "↙️ ", "⬅️ ", "↖️ "],
@@ -769,7 +403,7 @@
             "▐/|____________▌",
         ],
     },
-    "dqpb": {"interval": 100, "frames": ["d", "q", "p", "b"]},
+    "dqpb": {"interval": 100, "frames": "dqpb"},
     "weather": {
         "interval": 100,
         "frames": [
@@ -798,7 +432,7 @@
             "☀️ ",
         ],
     },
-    "christmas": {"interval": 400, "frames": ["🌲", "🎄"]},
+    "christmas": {"interval": 400, "frames": "🌲🎄"},
     "grenade": {
         "interval": 80,
         "frames": [
@@ -819,7 +453,7 @@
         ],
     },
     "point": {"interval": 125, "frames": ["∙∙∙", "●∙∙", "∙●∙", "∙∙●", "∙∙∙"]},
-    "layer": {"interval": 150, "frames": ["-", "=", "≡"]},
+    "layer": {"interval": 150, "frames": "-=≡"},
     "betaWave": {
         "interval": 80,
         "frames": [
diff --git a/rich/_win32_console.py b/rich/_win32_console.py
new file mode 100644
index 0000000000..f642279c55
--- /dev/null
+++ b/rich/_win32_console.py
@@ -0,0 +1,630 @@
+"""Light wrapper around the Win32 Console API - this module should only be imported on Windows
+
+The API that this module wraps is documented at https://docs.microsoft.com/en-us/windows/console/console-functions
+"""
+import ctypes
+import sys
+from typing import Any
+
+windll: Any = None
+if sys.platform == "win32":
+    windll = ctypes.LibraryLoader(ctypes.WinDLL)
+else:
+    raise ImportError(f"{__name__} can only be imported on Windows")
+
+import time
+from ctypes import Structure, byref, wintypes
+from typing import IO, NamedTuple, Type, cast
+
+from rich.color import ColorSystem
+from rich.style import Style
+
+STDOUT = -11
+ENABLE_VIRTUAL_TERMINAL_PROCESSING = 4
+
+COORD = wintypes._COORD
+
+
+class LegacyWindowsError(Exception):
+    pass
+
+
+class WindowsCoordinates(NamedTuple):
+    """Coordinates in the Windows Console API are (y, x), not (x, y).
+    This class is intended to prevent that confusion.
+    Rows and columns are indexed from 0.
+    This class can be used in place of wintypes._COORD in arguments and argtypes.
+    """
+
+    row: int
+    col: int
+
+    @classmethod
+    def from_param(cls, value: "WindowsCoordinates") -> COORD:
+        """Converts a WindowsCoordinates into a wintypes _COORD structure.
+        This classmethod is internally called by ctypes to perform the conversion.
+
+        Args:
+            value (WindowsCoordinates): The input coordinates to convert.
+
+        Returns:
+            wintypes._COORD: The converted coordinates struct.
+        """
+        return COORD(value.col, value.row)
+
+
+class CONSOLE_SCREEN_BUFFER_INFO(Structure):
+    _fields_ = [
+        ("dwSize", COORD),
+        ("dwCursorPosition", COORD),
+        ("wAttributes", wintypes.WORD),
+        ("srWindow", wintypes.SMALL_RECT),
+        ("dwMaximumWindowSize", COORD),
+    ]
+
+
+class CONSOLE_CURSOR_INFO(ctypes.Structure):
+    _fields_ = [("dwSize", wintypes.DWORD), ("bVisible", wintypes.BOOL)]
+
+
+_GetStdHandle = windll.kernel32.GetStdHandle
+_GetStdHandle.argtypes = [
+    wintypes.DWORD,
+]
+_GetStdHandle.restype = wintypes.HANDLE
+
+
+def GetStdHandle(handle: int = STDOUT) -> wintypes.HANDLE:
+    """Retrieves a handle to the specified standard device (standard input, standard output, or standard error).
+
+    Args:
+        handle (int): Integer identifier for the handle. Defaults to -11 (stdout).
+
+    Returns:
+        wintypes.HANDLE: The handle
+    """
+    return cast(wintypes.HANDLE, _GetStdHandle(handle))
+
+
+_GetConsoleMode = windll.kernel32.GetConsoleMode
+_GetConsoleMode.argtypes = [wintypes.HANDLE, wintypes.LPDWORD]
+_GetConsoleMode.restype = wintypes.BOOL
+
+
+def GetConsoleMode(std_handle: wintypes.HANDLE) -> int:
+    """Retrieves the current input mode of a console's input buffer
+    or the current output mode of a console screen buffer.
+
+    Args:
+        std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer.
+
+    Raises:
+        LegacyWindowsError: If any error occurs while calling the Windows console API.
+
+    Returns:
+        int: Value representing the current console mode as documented at
+            https://docs.microsoft.com/en-us/windows/console/getconsolemode#parameters
+    """
+
+    console_mode = wintypes.DWORD()
+    success = bool(_GetConsoleMode(std_handle, console_mode))
+    if not success:
+        raise LegacyWindowsError("Unable to get legacy Windows Console Mode")
+    return console_mode.value
+
+
+_FillConsoleOutputCharacterW = windll.kernel32.FillConsoleOutputCharacterW
+_FillConsoleOutputCharacterW.argtypes = [
+    wintypes.HANDLE,
+    ctypes.c_char,
+    wintypes.DWORD,
+    cast(Type[COORD], WindowsCoordinates),
+    ctypes.POINTER(wintypes.DWORD),
+]
+_FillConsoleOutputCharacterW.restype = wintypes.BOOL
+
+
+def FillConsoleOutputCharacter(
+    std_handle: wintypes.HANDLE,
+    char: str,
+    length: int,
+    start: WindowsCoordinates,
+) -> int:
+    """Writes a character to the console screen buffer a specified number of times, beginning at the specified coordinates.
+
+    Args:
+        std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer.
+        char (str): The character to write. Must be a string of length 1.
+        length (int): The number of times to write the character.
+        start (WindowsCoordinates): The coordinates to start writing at.
+
+    Returns:
+        int: The number of characters written.
+    """
+    character = ctypes.c_char(char.encode())
+    num_characters = wintypes.DWORD(length)
+    num_written = wintypes.DWORD(0)
+    _FillConsoleOutputCharacterW(
+        std_handle,
+        character,
+        num_characters,
+        start,
+        byref(num_written),
+    )
+    return num_written.value
+
+
+_FillConsoleOutputAttribute = windll.kernel32.FillConsoleOutputAttribute
+_FillConsoleOutputAttribute.argtypes = [
+    wintypes.HANDLE,
+    wintypes.WORD,
+    wintypes.DWORD,
+    cast(Type[COORD], WindowsCoordinates),
+    ctypes.POINTER(wintypes.DWORD),
+]
+_FillConsoleOutputAttribute.restype = wintypes.BOOL
+
+
+def FillConsoleOutputAttribute(
+    std_handle: wintypes.HANDLE,
+    attributes: int,
+    length: int,
+    start: WindowsCoordinates,
+) -> int:
+    """Sets the character attributes for a specified number of character cells,
+    beginning at the specified coordinates in a screen buffer.
+
+    Args:
+        std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer.
+        attributes (int): Integer value representing the foreground and background colours of the cells.
+        length (int): The number of cells to set the output attribute of.
+        start (WindowsCoordinates): The coordinates of the first cell whose attributes are to be set.
+
+    Returns:
+        int: The number of cells whose attributes were actually set.
+    """
+    num_cells = wintypes.DWORD(length)
+    style_attrs = wintypes.WORD(attributes)
+    num_written = wintypes.DWORD(0)
+    _FillConsoleOutputAttribute(
+        std_handle, style_attrs, num_cells, start, byref(num_written)
+    )
+    return num_written.value
+
+
+_SetConsoleTextAttribute = windll.kernel32.SetConsoleTextAttribute
+_SetConsoleTextAttribute.argtypes = [
+    wintypes.HANDLE,
+    wintypes.WORD,
+]
+_SetConsoleTextAttribute.restype = wintypes.BOOL
+
+
+def SetConsoleTextAttribute(
+    std_handle: wintypes.HANDLE, attributes: wintypes.WORD
+) -> bool:
+    """Set the colour attributes for all text written after this function is called.
+
+    Args:
+        std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer.
+        attributes (int): Integer value representing the foreground and background colours.
+
+
+    Returns:
+        bool: True if the attribute was set successfully, otherwise False.
+    """
+    return bool(_SetConsoleTextAttribute(std_handle, attributes))
+
+
+_GetConsoleScreenBufferInfo = windll.kernel32.GetConsoleScreenBufferInfo
+_GetConsoleScreenBufferInfo.argtypes = [
+    wintypes.HANDLE,
+    ctypes.POINTER(CONSOLE_SCREEN_BUFFER_INFO),
+]
+_GetConsoleScreenBufferInfo.restype = wintypes.BOOL
+
+
+def GetConsoleScreenBufferInfo(
+    std_handle: wintypes.HANDLE,
+) -> CONSOLE_SCREEN_BUFFER_INFO:
+    """Retrieves information about the specified console screen buffer.
+
+    Args:
+        std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer.
+
+    Returns:
+        CONSOLE_SCREEN_BUFFER_INFO: A CONSOLE_SCREEN_BUFFER_INFO ctype struct contain information about
+            screen size, cursor position, colour attributes, and more."""
+    console_screen_buffer_info = CONSOLE_SCREEN_BUFFER_INFO()
+    _GetConsoleScreenBufferInfo(std_handle, byref(console_screen_buffer_info))
+    return console_screen_buffer_info
+
+
+_SetConsoleCursorPosition = windll.kernel32.SetConsoleCursorPosition
+_SetConsoleCursorPosition.argtypes = [
+    wintypes.HANDLE,
+    cast(Type[COORD], WindowsCoordinates),
+]
+_SetConsoleCursorPosition.restype = wintypes.BOOL
+
+
+def SetConsoleCursorPosition(
+    std_handle: wintypes.HANDLE, coords: WindowsCoordinates
+) -> bool:
+    """Set the position of the cursor in the console screen
+
+    Args:
+        std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer.
+        coords (WindowsCoordinates): The coordinates to move the cursor to.
+
+    Returns:
+        bool: True if the function succeeds, otherwise False.
+    """
+    return bool(_SetConsoleCursorPosition(std_handle, coords))
+
+
+_SetConsoleCursorInfo = windll.kernel32.SetConsoleCursorInfo
+_SetConsoleCursorInfo.argtypes = [
+    wintypes.HANDLE,
+    ctypes.POINTER(CONSOLE_CURSOR_INFO),
+]
+_SetConsoleCursorInfo.restype = wintypes.BOOL
+
+
+def SetConsoleCursorInfo(
+    std_handle: wintypes.HANDLE, cursor_info: CONSOLE_CURSOR_INFO
+) -> bool:
+    """Set the cursor info - used for adjusting cursor visibility and width
+
+    Args:
+        std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer.
+        cursor_info (CONSOLE_CURSOR_INFO): CONSOLE_CURSOR_INFO ctype struct containing the new cursor info.
+
+    Returns:
+          bool: True if the function succeeds, otherwise False.
+    """
+    return bool(_SetConsoleCursorInfo(std_handle, byref(cursor_info)))
+
+
+_SetConsoleTitle = windll.kernel32.SetConsoleTitleW
+_SetConsoleTitle.argtypes = [wintypes.LPCWSTR]
+_SetConsoleTitle.restype = wintypes.BOOL
+
+
+def SetConsoleTitle(title: str) -> bool:
+    """Sets the title of the current console window
+
+    Args:
+        title (str): The new title of the console window.
+
+    Returns:
+        bool: True if the function succeeds, otherwise False.
+    """
+    return bool(_SetConsoleTitle(title))
+
+
+class LegacyWindowsTerm:
+    """This class allows interaction with the legacy Windows Console API. It should only be used in the context
+    of environments where virtual terminal processing is not available. However, if it is used in a Windows environment,
+    the entire API should work.
+
+    Args:
+        file (IO[str]): The file which the Windows Console API HANDLE is retrieved from, defaults to sys.stdout.
+    """
+
+    BRIGHT_BIT = 8
+
+    # Indices are ANSI color numbers, values are the corresponding Windows Console API color numbers
+    ANSI_TO_WINDOWS = [
+        0,  # black                      The Windows colours are defined in wincon.h as follows:
+        4,  # red                         define FOREGROUND_BLUE            0x0001 -- 0000 0001
+        2,  # green                       define FOREGROUND_GREEN           0x0002 -- 0000 0010
+        6,  # yellow                      define FOREGROUND_RED             0x0004 -- 0000 0100
+        1,  # blue                        define FOREGROUND_INTENSITY       0x0008 -- 0000 1000
+        5,  # magenta                     define BACKGROUND_BLUE            0x0010 -- 0001 0000
+        3,  # cyan                        define BACKGROUND_GREEN           0x0020 -- 0010 0000
+        7,  # white                       define BACKGROUND_RED             0x0040 -- 0100 0000
+        8,  # bright black (grey)         define BACKGROUND_INTENSITY       0x0080 -- 1000 0000
+        12,  # bright red
+        10,  # bright green
+        14,  # bright yellow
+        9,  # bright blue
+        13,  # bright magenta
+        11,  # bright cyan
+        15,  # bright white
+    ]
+
+    def __init__(self, file: "IO[str]") -> None:
+        handle = GetStdHandle(STDOUT)
+        self._handle = handle
+        default_text = GetConsoleScreenBufferInfo(handle).wAttributes
+        self._default_text = default_text
+
+        self._default_fore = default_text & 7
+        self._default_back = (default_text >> 4) & 7
+        self._default_attrs = self._default_fore | (self._default_back << 4)
+
+        self._file = file
+        self.write = file.write
+        self.flush = file.flush
+
+    @property
+    def cursor_position(self) -> WindowsCoordinates:
+        """Returns the current position of the cursor (0-based)
+
+        Returns:
+            WindowsCoordinates: The current cursor position.
+        """
+        coord: COORD = GetConsoleScreenBufferInfo(self._handle).dwCursorPosition
+        return WindowsCoordinates(row=cast(int, coord.Y), col=cast(int, coord.X))
+
+    @property
+    def screen_size(self) -> WindowsCoordinates:
+        """Returns the current size of the console screen buffer, in character columns and rows
+
+        Returns:
+            WindowsCoordinates: The width and height of the screen as WindowsCoordinates.
+        """
+        screen_size: COORD = GetConsoleScreenBufferInfo(self._handle).dwSize
+        return WindowsCoordinates(
+            row=cast(int, screen_size.Y), col=cast(int, screen_size.X)
+        )
+
+    def write_text(self, text: str) -> None:
+        """Write text directly to the terminal without any modification of styles
+
+        Args:
+            text (str): The text to write to the console
+        """
+        self.write(text)
+        self.flush()
+
+    def write_styled(self, text: str, style: Style) -> None:
+        """Write styled text to the terminal.
+
+        Args:
+            text (str): The text to write
+            style (Style): The style of the text
+        """
+        color = style.color
+        bgcolor = style.bgcolor
+        if style.reverse:
+            color, bgcolor = bgcolor, color
+
+        if color:
+            fore = color.downgrade(ColorSystem.WINDOWS).number
+            fore = fore if fore is not None else 7  # Default to ANSI 7: White
+            if style.bold:
+                fore = fore | self.BRIGHT_BIT
+            if style.dim:
+                fore = fore & ~self.BRIGHT_BIT
+            fore = self.ANSI_TO_WINDOWS[fore]
+        else:
+            fore = self._default_fore
+
+        if bgcolor:
+            back = bgcolor.downgrade(ColorSystem.WINDOWS).number
+            back = back if back is not None else 0  # Default to ANSI 0: Black
+            back = self.ANSI_TO_WINDOWS[back]
+        else:
+            back = self._default_back
+
+        assert fore is not None
+        assert back is not None
+
+        SetConsoleTextAttribute(
+            self._handle, attributes=ctypes.c_ushort(fore | (back << 4))
+        )
+        self.write_text(text)
+        SetConsoleTextAttribute(self._handle, attributes=self._default_text)
+
+    def move_cursor_to(self, new_position: WindowsCoordinates) -> None:
+        """Set the position of the cursor
+
+        Args:
+            new_position (WindowsCoordinates): The WindowsCoordinates representing the new position of the cursor.
+        """
+        if new_position.col < 0 or new_position.row < 0:
+            return
+        SetConsoleCursorPosition(self._handle, coords=new_position)
+
+    def erase_line(self) -> None:
+        """Erase all content on the line the cursor is currently located at"""
+        screen_size = self.screen_size
+        cursor_position = self.cursor_position
+        cells_to_erase = screen_size.col
+        start_coordinates = WindowsCoordinates(row=cursor_position.row, col=0)
+        FillConsoleOutputCharacter(
+            self._handle, " ", length=cells_to_erase, start=start_coordinates
+        )
+        FillConsoleOutputAttribute(
+            self._handle,
+            self._default_attrs,
+            length=cells_to_erase,
+            start=start_coordinates,
+        )
+
+    def erase_end_of_line(self) -> None:
+        """Erase all content from the cursor position to the end of that line"""
+        cursor_position = self.cursor_position
+        cells_to_erase = self.screen_size.col - cursor_position.col
+        FillConsoleOutputCharacter(
+            self._handle, " ", length=cells_to_erase, start=cursor_position
+        )
+        FillConsoleOutputAttribute(
+            self._handle,
+            self._default_attrs,
+            length=cells_to_erase,
+            start=cursor_position,
+        )
+
+    def erase_start_of_line(self) -> None:
+        """Erase all content from the cursor position to the start of that line"""
+        row, col = self.cursor_position
+        start = WindowsCoordinates(row, 0)
+        FillConsoleOutputCharacter(self._handle, " ", length=col, start=start)
+        FillConsoleOutputAttribute(
+            self._handle, self._default_attrs, length=col, start=start
+        )
+
+    def move_cursor_up(self) -> None:
+        """Move the cursor up a single cell"""
+        cursor_position = self.cursor_position
+        SetConsoleCursorPosition(
+            self._handle,
+            coords=WindowsCoordinates(
+                row=cursor_position.row - 1, col=cursor_position.col
+            ),
+        )
+
+    def move_cursor_down(self) -> None:
+        """Move the cursor down a single cell"""
+        cursor_position = self.cursor_position
+        SetConsoleCursorPosition(
+            self._handle,
+            coords=WindowsCoordinates(
+                row=cursor_position.row + 1,
+                col=cursor_position.col,
+            ),
+        )
+
+    def move_cursor_forward(self) -> None:
+        """Move the cursor forward a single cell. Wrap to the next line if required."""
+        row, col = self.cursor_position
+        if col == self.screen_size.col - 1:
+            row += 1
+            col = 0
+        else:
+            col += 1
+        SetConsoleCursorPosition(
+            self._handle, coords=WindowsCoordinates(row=row, col=col)
+        )
+
+    def move_cursor_to_column(self, column: int) -> None:
+        """Move cursor to the column specified by the zero-based column index, staying on the same row
+
+        Args:
+            column (int): The zero-based column index to move the cursor to.
+        """
+        row, _ = self.cursor_position
+        SetConsoleCursorPosition(self._handle, coords=WindowsCoordinates(row, column))
+
+    def move_cursor_backward(self) -> None:
+        """Move the cursor backward a single cell. Wrap to the previous line if required."""
+        row, col = self.cursor_position
+        if col == 0:
+            row -= 1
+            col = self.screen_size.col - 1
+        else:
+            col -= 1
+        SetConsoleCursorPosition(
+            self._handle, coords=WindowsCoordinates(row=row, col=col)
+        )
+
+    def hide_cursor(self) -> None:
+        """Hide the cursor"""
+        invisible_cursor = CONSOLE_CURSOR_INFO(dwSize=100, bVisible=0)
+        SetConsoleCursorInfo(self._handle, cursor_info=invisible_cursor)
+
+    def show_cursor(self) -> None:
+        """Show the cursor"""
+        visible_cursor = CONSOLE_CURSOR_INFO(dwSize=100, bVisible=1)
+        SetConsoleCursorInfo(self._handle, cursor_info=visible_cursor)
+
+    def set_title(self, title: str) -> None:
+        """Set the title of the terminal window
+
+        Args:
+            title (str): The new title of the console window
+        """
+        assert len(title) < 255, "Console title must be less than 255 characters"
+        SetConsoleTitle(title)
+
+
+if __name__ == "__main__":
+    handle = GetStdHandle()
+
+    from rich.console import Console
+
+    console = Console()
+
+    term = LegacyWindowsTerm(sys.stdout)
+    term.set_title("Win32 Console Examples")
+
+    style = Style(color="black", bgcolor="red")
+
+    heading = Style.parse("black on green")
+
+    # Check colour output
+    console.rule("Checking colour output")
+    console.print("[on red]on red!")
+    console.print("[blue]blue!")
+    console.print("[yellow]yellow!")
+    console.print("[bold yellow]bold yellow!")
+    console.print("[bright_yellow]bright_yellow!")
+    console.print("[dim bright_yellow]dim bright_yellow!")
+    console.print("[italic cyan]italic cyan!")
+    console.print("[bold white on blue]bold white on blue!")
+    console.print("[reverse bold white on blue]reverse bold white on blue!")
+    console.print("[bold black on cyan]bold black on cyan!")
+    console.print("[black on green]black on green!")
+    console.print("[blue on green]blue on green!")
+    console.print("[white on black]white on black!")
+    console.print("[black on white]black on white!")
+    console.print("[#1BB152 on #DA812D]#1BB152 on #DA812D!")
+
+    # Check cursor movement
+    console.rule("Checking cursor movement")
+    console.print()
+    term.move_cursor_backward()
+    term.move_cursor_backward()
+    term.write_text("went back and wrapped to prev line")
+    time.sleep(1)
+    term.move_cursor_up()
+    term.write_text("we go up")
+    time.sleep(1)
+    term.move_cursor_down()
+    term.write_text("and down")
+    time.sleep(1)
+    term.move_cursor_up()
+    term.move_cursor_backward()
+    term.move_cursor_backward()
+    term.write_text("we went up and back 2")
+    time.sleep(1)
+    term.move_cursor_down()
+    term.move_cursor_backward()
+    term.move_cursor_backward()
+    term.write_text("we went down and back 2")
+    time.sleep(1)
+
+    # Check erasing of lines
+    term.hide_cursor()
+    console.print()
+    console.rule("Checking line erasing")
+    console.print("\n...Deleting to the start of the line...")
+    term.write_text("The red arrow shows the cursor location, and direction of erase")
+    time.sleep(1)
+    term.move_cursor_to_column(16)
+    term.write_styled("<", Style.parse("black on red"))
+    term.move_cursor_backward()
+    time.sleep(1)
+    term.erase_start_of_line()
+    time.sleep(1)
+
+    console.print("\n\n...And to the end of the line...")
+    term.write_text("The red arrow shows the cursor location, and direction of erase")
+    time.sleep(1)
+
+    term.move_cursor_to_column(16)
+    term.write_styled(">", Style.parse("black on red"))
+    time.sleep(1)
+    term.erase_end_of_line()
+    time.sleep(1)
+
+    console.print("\n\n...Now the whole line will be erased...")
+    term.write_styled("I'm going to disappear!", style=Style.parse("black on cyan"))
+    time.sleep(1)
+    term.erase_line()
+
+    term.show_cursor()
+    print("\n")
diff --git a/rich/_windows.py b/rich/_windows.py
index b1b30b65ec..98c7008635 100644
--- a/rich/_windows.py
+++ b/rich/_windows.py
@@ -14,13 +14,21 @@ class WindowsConsoleFeatures:
 
 try:
     import ctypes
-    from ctypes import LibraryLoader, wintypes
+    from ctypes import LibraryLoader
 
     if sys.platform == "win32":
         windll = LibraryLoader(ctypes.WinDLL)
     else:
         windll = None
         raise ImportError("Not windows")
+
+    from rich._win32_console import (
+        ENABLE_VIRTUAL_TERMINAL_PROCESSING,
+        GetConsoleMode,
+        GetStdHandle,
+        LegacyWindowsError,
+    )
+
 except (AttributeError, ImportError, ValueError):
 
     # Fallback if we can't load the Windows DLL
@@ -30,28 +38,20 @@ def get_windows_console_features() -> WindowsConsoleFeatures:
 
 else:
 
-    STDOUT = -11
-    ENABLE_VIRTUAL_TERMINAL_PROCESSING = 4
-    _GetConsoleMode = windll.kernel32.GetConsoleMode
-    _GetConsoleMode.argtypes = [wintypes.HANDLE, wintypes.LPDWORD]
-    _GetConsoleMode.restype = wintypes.BOOL
-
-    _GetStdHandle = windll.kernel32.GetStdHandle
-    _GetStdHandle.argtypes = [
-        wintypes.DWORD,
-    ]
-    _GetStdHandle.restype = wintypes.HANDLE
-
     def get_windows_console_features() -> WindowsConsoleFeatures:
         """Get windows console features.
 
         Returns:
             WindowsConsoleFeatures: An instance of WindowsConsoleFeatures.
         """
-        handle = _GetStdHandle(STDOUT)
-        console_mode = wintypes.DWORD()
-        result = _GetConsoleMode(handle, console_mode)
-        vt = bool(result and console_mode.value & ENABLE_VIRTUAL_TERMINAL_PROCESSING)
+        handle = GetStdHandle()
+        try:
+            console_mode = GetConsoleMode(handle)
+            success = True
+        except LegacyWindowsError:
+            console_mode = 0
+            success = False
+        vt = bool(success and console_mode & ENABLE_VIRTUAL_TERMINAL_PROCESSING)
         truecolor = False
         if vt:
             win_version = sys.getwindowsversion()
diff --git a/rich/_windows_renderer.py b/rich/_windows_renderer.py
new file mode 100644
index 0000000000..0fc2ba852a
--- /dev/null
+++ b/rich/_windows_renderer.py
@@ -0,0 +1,56 @@
+from typing import Iterable, Sequence, Tuple, cast
+
+from rich._win32_console import LegacyWindowsTerm, WindowsCoordinates
+from rich.segment import ControlCode, ControlType, Segment
+
+
+def legacy_windows_render(buffer: Iterable[Segment], term: LegacyWindowsTerm) -> None:
+    """Makes appropriate Windows Console API calls based on the segments in the buffer.
+
+    Args:
+        buffer (Iterable[Segment]): Iterable of Segments to convert to Win32 API calls.
+        term (LegacyWindowsTerm): Used to call the Windows Console API.
+    """
+    for text, style, control in buffer:
+        if not control:
+            if style:
+                term.write_styled(text, style)
+            else:
+                term.write_text(text)
+        else:
+            control_codes: Sequence[ControlCode] = control
+            for control_code in control_codes:
+                control_type = control_code[0]
+                if control_type == ControlType.CURSOR_MOVE_TO:
+                    _, x, y = cast(Tuple[ControlType, int, int], control_code)
+                    term.move_cursor_to(WindowsCoordinates(row=y - 1, col=x - 1))
+                elif control_type == ControlType.CARRIAGE_RETURN:
+                    term.write_text("\r")
+                elif control_type == ControlType.HOME:
+                    term.move_cursor_to(WindowsCoordinates(0, 0))
+                elif control_type == ControlType.CURSOR_UP:
+                    term.move_cursor_up()
+                elif control_type == ControlType.CURSOR_DOWN:
+                    term.move_cursor_down()
+                elif control_type == ControlType.CURSOR_FORWARD:
+                    term.move_cursor_forward()
+                elif control_type == ControlType.CURSOR_BACKWARD:
+                    term.move_cursor_backward()
+                elif control_type == ControlType.CURSOR_MOVE_TO_COLUMN:
+                    _, column = cast(Tuple[ControlType, int], control_code)
+                    term.move_cursor_to_column(column - 1)
+                elif control_type == ControlType.HIDE_CURSOR:
+                    term.hide_cursor()
+                elif control_type == ControlType.SHOW_CURSOR:
+                    term.show_cursor()
+                elif control_type == ControlType.ERASE_IN_LINE:
+                    _, mode = cast(Tuple[ControlType, int], control_code)
+                    if mode == 0:
+                        term.erase_end_of_line()
+                    elif mode == 1:
+                        term.erase_start_of_line()
+                    elif mode == 2:
+                        term.erase_line()
+                elif control_type == ControlType.SET_WINDOW_TITLE:
+                    _, title = cast(Tuple[ControlType, str], control_code)
+                    term.set_title(title)
diff --git a/rich/align.py b/rich/align.py
index 3f605a7b9d..c9b7cfa01e 100644
--- a/rich/align.py
+++ b/rich/align.py
@@ -18,7 +18,6 @@
 
 AlignMethod = Literal["left", "center", "right"]
 VerticalAlignMethod = Literal["top", "middle", "bottom"]
-AlignValues = AlignMethod  # TODO: deprecate AlignValues
 
 
 class Align(JupyterMixin):
diff --git a/rich/ansi.py b/rich/ansi.py
index 92e4772edd..d4c32cef1e 100644
--- a/rich/ansi.py
+++ b/rich/ansi.py
@@ -1,21 +1,27 @@
-from contextlib import suppress
 import re
-from typing import Iterable, NamedTuple
+import sys
+from contextlib import suppress
+from typing import Iterable, NamedTuple, Optional
 
 from .color import Color
 from .style import Style
 from .text import Text
 
-re_ansi = re.compile(r"(?:\x1b\[(.*?)m)|(?:\x1b\](.*?)\x1b\\)")
-re_csi = re.compile(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])")
+re_ansi = re.compile(
+    r"""
+(?:\x1b\](.*?)\x1b\\)|
+(?:\x1b([(@-Z\\-_]|\[[0-?]*[ -/]*[@-~]))
+""",
+    re.VERBOSE,
+)
 
 
 class _AnsiToken(NamedTuple):
     """Result of ansi tokenized string."""
 
     plain: str = ""
-    sgr: str = ""
-    osc: str = ""
+    sgr: Optional[str] = ""
+    osc: Optional[str] = ""
 
 
 def _ansi_tokenize(ansi_text: str) -> Iterable[_AnsiToken]:
@@ -28,20 +34,22 @@ def _ansi_tokenize(ansi_text: str) -> Iterable[_AnsiToken]:
         AnsiToken: A named tuple of (plain, sgr, osc)
     """
 
-    def remove_csi(ansi_text: str) -> str:
-        """Remove unknown CSI sequences."""
-        return re_csi.sub("", ansi_text)
-
     position = 0
+    sgr: Optional[str]
+    osc: Optional[str]
     for match in re_ansi.finditer(ansi_text):
         start, end = match.span(0)
-        sgr, osc = match.groups()
+        osc, sgr = match.groups()
         if start > position:
-            yield _AnsiToken(remove_csi(ansi_text[position:start]))
-        yield _AnsiToken("", sgr, osc)
+            yield _AnsiToken(ansi_text[position:start])
+        if sgr:
+            if sgr.endswith("m"):
+                yield _AnsiToken("", sgr[1:-1], osc)
+        else:
+            yield _AnsiToken("", sgr, osc)
         position = end
     if position < len(ansi_text):
-        yield _AnsiToken(remove_csi(ansi_text[position:]))
+        yield _AnsiToken(ansi_text[position:])
 
 
 SGR_STYLE_MAP = {
@@ -138,20 +146,21 @@ def decode_line(self, line: str) -> Text:
         text = Text()
         append = text.append
         line = line.rsplit("\r", 1)[-1]
-        for token in _ansi_tokenize(line):
-            plain_text, sgr, osc = token
+        for plain_text, sgr, osc in _ansi_tokenize(line):
             if plain_text:
                 append(plain_text, self.style or None)
-            elif osc:
+            elif osc is not None:
                 if osc.startswith("8;"):
                     _params, semicolon, link = osc[2:].partition(";")
                     if semicolon:
                         self.style = self.style.update_link(link or None)
-            elif sgr:
+            elif sgr is not None:
                 # Translate in to semi-colon separated codes
                 # Ignore invalid codes, because we want to be lenient
                 codes = [
-                    min(255, int(_code)) for _code in sgr.split(";") if _code.isdigit()
+                    min(255, int(_code) if _code else 0)
+                    for _code in sgr.split(";")
+                    if _code.isdigit() or _code == ""
                 ]
                 iter_codes = iter(codes)
                 for code in iter_codes:
@@ -198,10 +207,10 @@ def decode_line(self, line: str) -> Text:
         return text
 
 
-if __name__ == "__main__":  # pragma: no cover
-    import pty
+if sys.platform != "win32" and __name__ == "__main__":  # pragma: no cover
     import io
     import os
+    import pty
     import sys
 
     decoder = AnsiDecoder()
diff --git a/rich/cells.py b/rich/cells.py
index e824ea2a6d..d7adf5a046 100644
--- a/rich/cells.py
+++ b/rich/cells.py
@@ -1,5 +1,5 @@
-from functools import lru_cache
 import re
+from functools import lru_cache
 from typing import Dict, List
 
 from ._cell_widths import CELL_WIDTHS
@@ -18,17 +18,14 @@ def cell_len(text: str, _cache: Dict[str, int] = LRUCache(1024 * 4)) -> int:
     Returns:
         int: Get the number of cells required to display text.
     """
-
-    if _is_single_cell_widths(text):
-        return len(text)
-    else:
-        cached_result = _cache.get(text, None)
-        if cached_result is not None:
-            return cached_result
-        _get_size = get_character_cell_size
-        total_size = sum(_get_size(character) for character in text)
-        if len(text) <= 64:
-            _cache[text] = total_size
+    cached_result = _cache.get(text, None)
+    if cached_result is not None:
+        return cached_result
+
+    _get_size = get_character_cell_size
+    total_size = sum(_get_size(character) for character in text)
+    if len(text) <= 512:
+        _cache[text] = total_size
     return total_size
 
 
@@ -42,9 +39,6 @@ def get_character_cell_size(character: str) -> int:
     Returns:
         int: Number of cells (0, 1 or 2) occupied by that character.
     """
-    if _is_single_cell_widths(character):
-        return 1
-
     return _get_codepoint_cell_size(ord(character))
 
 
@@ -119,14 +113,12 @@ def chop_cells(text: str, max_size: int, position: int = 0) -> List[str]:
     _get_character_cell_size = get_character_cell_size
     characters = [
         (character, _get_character_cell_size(character)) for character in text
-    ][::-1]
+    ]
     total_size = position
     lines: List[List[str]] = [[]]
     append = lines[-1].append
 
-    pop = characters.pop
-    while characters:
-        character, size = pop()
+    for character, size in reversed(characters):
         if total_size + size > max_size:
             lines.append([character])
             append = lines[-1].append
@@ -134,6 +126,7 @@ def chop_cells(text: str, max_size: int, position: int = 0) -> List[str]:
         else:
             total_size += size
             append(character)
+
     return ["".join(line) for line in lines]
 
 
diff --git a/rich/color.py b/rich/color.py
index b6c56a1ee4..6bca2da922 100644
--- a/rich/color.py
+++ b/rich/color.py
@@ -607,7 +607,7 @@ def blend_rgb(
         if color_number < 16:
             table.add_row(color_cell, f"{color_number}", Text(f'"{name}"'))
         else:
-            color = EIGHT_BIT_PALETTE[color_number]  # type: ignore
+            color = EIGHT_BIT_PALETTE[color_number]  # type: ignore[has-type]
             table.add_row(
                 color_cell, str(color_number), Text(f'"{name}"'), color.hex, color.rgb
             )
diff --git a/rich/console.py b/rich/console.py
index fbf87bd5c1..5a07694087 100644
--- a/rich/console.py
+++ b/rich/console.py
@@ -1,8 +1,10 @@
 import inspect
+import io
 import os
 import platform
 import sys
 import threading
+import zlib
 from abc import ABC, abstractmethod
 from dataclasses import dataclass, field
 from datetime import datetime
@@ -11,7 +13,6 @@
 from html import escape
 from inspect import isclass
 from itertools import islice
-from threading import RLock
 from time import monotonic
 from types import FrameType, ModuleType, TracebackType
 from typing import (
@@ -43,6 +44,12 @@
 
 from . import errors, themes
 from ._emoji_replace import _emoji_replace
+from ._export_format import (
+    _SVG_CLASSES_PREFIX,
+    _SVG_FONT_FAMILY,
+    CONSOLE_HTML_FORMAT,
+    CONSOLE_SVG_FORMAT,
+)
 from ._log_render import FormatTimeCallable, LogRender
 from .align import Align, AlignMethod
 from .color import ColorSystem
@@ -60,7 +67,7 @@
 from .segment import Segment
 from .style import Style, StyleType
 from .styled import Styled
-from .terminal_theme import DEFAULT_TERMINAL_THEME, TerminalTheme
+from .terminal_theme import DEFAULT_TERMINAL_THEME, SVG_EXPORT_THEME, TerminalTheme
 from .text import Text, TextType
 from .theme import Theme, ThemeStack
 
@@ -82,27 +89,22 @@ class NoChange:
 
 NO_CHANGE = NoChange()
 
+try:
+    _STDIN_FILENO = sys.__stdin__.fileno()
+except Exception:
+    _STDIN_FILENO = 0
+try:
+    _STDOUT_FILENO = sys.__stdout__.fileno()
+except Exception:
+    _STDOUT_FILENO = 1
+try:
+    _STDERR_FILENO = sys.__stderr__.fileno()
+except Exception:
+    _STDERR_FILENO = 2
+
+_STD_STREAMS = (_STDIN_FILENO, _STDOUT_FILENO, _STDERR_FILENO)
+_STD_STREAMS_OUTPUT = (_STDOUT_FILENO, _STDERR_FILENO)
 
-CONSOLE_HTML_FORMAT = """\
-
-
-
-
-
-
-
-    
-        
{code}

-    
-
-
-"""
 
 _TERM_COLORS = {"256color": ColorSystem.EIGHT_BIT, "16color": ColorSystem.STANDARD}
 
@@ -224,6 +226,16 @@ def update_height(self, height: int) -> "ConsoleOptions":
         options.max_height = options.height = height
         return options
 
+    def reset_height(self) -> "ConsoleOptions":
+        """Return a copy of the options with height set to ``None``.
+
+        Returns:
+            ~ConsoleOptions: New console options instance.
+        """
+        options = self.copy()
+        options.height = None
+        return options
+
     def update_dimensions(self, width: int, height: int) -> "ConsoleOptions":
         """Update the width and height, and return a copy.
 
@@ -244,7 +256,9 @@ def update_dimensions(self, width: int, height: int) -> "ConsoleOptions":
 class RichCast(Protocol):
     """An object that may be 'cast' to a console renderable."""
 
-    def __rich__(self) -> Union["ConsoleRenderable", str]:  # pragma: no cover
+    def __rich__(
+        self,
+    ) -> Union["ConsoleRenderable", "RichCast", str]:  # pragma: no cover
         ...
 
 
@@ -261,11 +275,9 @@ def __rich_console__(
 # A type that may be rendered by Console.
 RenderableType = Union[ConsoleRenderable, RichCast, str]
 
-
 # The result of calling a __rich_console__ method.
 RenderResult = Iterable[Union[RenderableType, Segment]]
 
-
 _null_highlighter = NullHighlighter()
 
 
@@ -501,10 +513,10 @@ def _replace(*args: Any, **kwargs: Any) -> Group:
 def _is_jupyter() -> bool:  # pragma: no cover
     """Check if we're running in a Jupyter notebook."""
     try:
-        get_ipython  # type: ignore
+        get_ipython  # type: ignore[name-defined]
     except NameError:
         return False
-    ipython = get_ipython()  # type: ignore
+    ipython = get_ipython()  # type: ignore[name-defined]
     shell = ipython.__class__.__name__
     if "google.colab" in str(ipython.__class__) or shell == "ZMQInteractiveShell":
         return True  # Jupyter notebook or qtconsole
@@ -521,7 +533,6 @@ def _is_jupyter() -> bool:  # pragma: no cover
     "windows": ColorSystem.WINDOWS,
 }
 
-
 _COLOR_SYSTEMS_NAMES = {system: name for name, system in COLOR_SYSTEMS.items()}
 
 
@@ -571,12 +582,6 @@ def detect_legacy_windows() -> bool:
     return WINDOWS and not get_windows_console_features().vt
 
 
-if detect_legacy_windows():  # pragma: no cover
-    from colorama import init
-
-    init(strip=False)
-
-
 class Console:
     """A high level console interface.
 
@@ -597,7 +602,7 @@ class Console:
         no_color (Optional[bool], optional): Enabled no color mode, or None to auto detect. Defaults to None.
         tab_size (int, optional): Number of spaces used to replace a tab character. Defaults to 8.
         record (bool, optional): Boolean to enable recording of terminal output,
-            required to call :meth:`export_html` and :meth:`export_text`. Defaults to False.
+            required to call :meth:`export_html`, :meth:`export_svg`, and :meth:`export_text`. Defaults to False.
         markup (bool, optional): Boolean to enable :ref:`console_markup`. Defaults to True.
         emoji (bool, optional): Enable emoji code. Defaults to True.
         emoji_variant (str, optional): Optional emoji variant, either "text" or "emoji". Defaults to None.
@@ -910,6 +915,13 @@ def is_terminal(self) -> bool:
         """
         if self._force_terminal is not None:
             return self._force_terminal
+
+        if hasattr(sys.stdin, "__module__") and sys.stdin.__module__.startswith(
+            "idlelib"
+        ):
+            # Return False for Idle which claims to be a tty but can't handle ansi codes
+            return False
+
         isatty: Optional[Callable[[], bool]] = getattr(self.file, "isatty", None)
         try:
             return False if isatty is None else isatty()
@@ -964,16 +976,16 @@ def size(self) -> ConsoleDimensions:
         if WINDOWS:  # pragma: no cover
             try:
                 width, height = os.get_terminal_size()
-            except OSError:  # Probably not a terminal
+            except (AttributeError, ValueError, OSError):  # Probably not a terminal
                 pass
         else:
-            try:
-                width, height = os.get_terminal_size(sys.__stdin__.fileno())
-            except (AttributeError, ValueError, OSError):
+            for file_descriptor in _STD_STREAMS:
                 try:
-                    width, height = os.get_terminal_size(sys.__stdout__.fileno())
+                    width, height = os.get_terminal_size(file_descriptor)
                 except (AttributeError, ValueError, OSError):
                     pass
+                else:
+                    break
 
         columns = self._environ.get("COLUMNS")
         if columns is not None and columns.isdigit():
@@ -1141,7 +1153,7 @@ def show_cursor(self, show: bool = True) -> bool:
         Args:
             show (bool, optional): Set visibility of the cursor.
         """
-        if self.is_terminal and not self.legacy_windows:
+        if self.is_terminal:
             self.control(Control.show_cursor(show))
             return True
         return False
@@ -1176,6 +1188,38 @@ def is_alt_screen(self) -> bool:
         """
         return self._is_alt_screen
 
+    def set_window_title(self, title: str) -> bool:
+        """Set the title of the console terminal window.
+
+        Warning: There is no means within Rich of "resetting" the window title to its
+        previous value, meaning the title you set will persist even after your application
+        exits.
+
+        ``fish`` shell resets the window title before and after each command by default,
+        negating this issue. Windows Terminal and command prompt will also reset the title for you.
+        Most other shells and terminals, however, do not do this.
+
+        Some terminals may require configuration changes before you can set the title.
+        Some terminals may not support setting the title at all.
+
+        Other software (including the terminal itself, the shell, custom prompts, plugins, etc.)
+        may also set the terminal window title. This could result in whatever value you write
+        using this method being overwritten.
+
+        Args:
+            title (str): The new title of the terminal window.
+
+        Returns:
+            bool: True if the control code to change the terminal title was
+                written, otherwise False. Note that a return value of True
+                does not guarantee that the window title has actually changed,
+                since the feature may be unsupported/disabled in some terminals.
+        """
+        if self.is_terminal:
+            self.control(Control.title(title))
+            return True
+        return False
+
     def screen(
         self, hide_cursor: bool = True, style: Optional[StyleType] = None
     ) -> "ScreenContext":
@@ -1232,7 +1276,7 @@ def render(
 
         renderable = rich_cast(renderable)
         if hasattr(renderable, "__rich_console__") and not isclass(renderable):
-            render_iterable = renderable.__rich_console__(self, _options)  # type: ignore
+            render_iterable = renderable.__rich_console__(self, _options)  # type: ignore[union-attr]
         elif isinstance(renderable, str):
             text_renderable = self.render_str(
                 renderable, highlight=_options.highlight, markup=_options.markup
@@ -1251,6 +1295,7 @@ def render(
                 f"object {render_iterable!r} is not renderable"
             )
         _Segment = Segment
+        _options = _options.reset_height()
         for render_output in iter_render:
             if isinstance(render_output, _Segment):
                 yield render_output
@@ -1322,7 +1367,7 @@ def render_str(
         highlight: Optional[bool] = None,
         highlighter: Optional[HighlighterType] = None,
     ) -> "Text":
-        """Convert a string to a Text instance. This is is called automatically if
+        """Convert a string to a Text instance. This is called automatically if
         you print or log a string.
 
         Args:
@@ -1372,7 +1417,7 @@ def render_str(
     def get_style(
         self, name: Union[str, Style], *, default: Optional[Union[Style, str]] = None
     ) -> Style:
-        """Get a Style instance by it's theme name or parse a definition.
+        """Get a Style instance by its theme name or parse a definition.
 
         Args:
             name (str): The name of a style or a style definition.
@@ -1811,7 +1856,7 @@ def _caller_frame_info(
         frame = currentframe()
         if frame is not None:
             # Use the faster currentframe where implemented
-            while offset and frame:
+            while offset and frame is not None:
                 frame = frame.f_back
                 offset -= 1
             assert frame is not None
@@ -1904,43 +1949,72 @@ def log(
                 buffer_extend(line)
 
     def _check_buffer(self) -> None:
-        """Check if the buffer may be rendered."""
+        """Check if the buffer may be rendered. Render it if it can (e.g. Console.quiet is False)
+        Rendering is supported on Windows, Unix and Jupyter environments. For
+        legacy Windows consoles, the win32 API is called directly.
+        This method will also record what it renders if recording is enabled via Console.record.
+        """
         if self.quiet:
             del self._buffer[:]
             return
         with self._lock:
             if self._buffer_index == 0:
+
+                if self.record:
+                    with self._record_buffer_lock:
+                        self._record_buffer.extend(self._buffer[:])
+
                 if self.is_jupyter:  # pragma: no cover
                     from .jupyter import display
 
                     display(self._buffer, self._render_buffer(self._buffer[:]))
                     del self._buffer[:]
                 else:
-                    text = self._render_buffer(self._buffer[:])
-                    del self._buffer[:]
-                    if text:
-                        try:
-                            if WINDOWS:  # pragma: no cover
-                                # https://bugs.python.org/issue37871
-                                write = self.file.write
-                                for line in text.splitlines(True):
+                    if WINDOWS:
+                        use_legacy_windows_render = False
+                        if self.legacy_windows:
+                            try:
+                                use_legacy_windows_render = (
+                                    self.file.fileno() in _STD_STREAMS_OUTPUT
+                                )
+                            except (ValueError, io.UnsupportedOperation):
+                                pass
+
+                        if use_legacy_windows_render:
+                            from rich._win32_console import LegacyWindowsTerm
+                            from rich._windows_renderer import legacy_windows_render
+
+                            legacy_windows_render(
+                                self._buffer[:], LegacyWindowsTerm(self.file)
+                            )
+                        else:
+                            # Either a non-std stream on legacy Windows, or modern Windows.
+                            text = self._render_buffer(self._buffer[:])
+                            # https://bugs.python.org/issue37871
+                            write = self.file.write
+                            for line in text.splitlines(True):
+                                try:
                                     write(line)
-                            else:
-                                self.file.write(text)
-                            self.file.flush()
+                                except UnicodeEncodeError as error:
+                                    error.reason = f"{error.reason}\n*** You may need to add PYTHONIOENCODING=utf-8 to your environment ***"
+                                    raise
+                    else:
+                        text = self._render_buffer(self._buffer[:])
+                        try:
+                            self.file.write(text)
                         except UnicodeEncodeError as error:
                             error.reason = f"{error.reason}\n*** You may need to add PYTHONIOENCODING=utf-8 to your environment ***"
                             raise
 
+                    self.file.flush()
+                    del self._buffer[:]
+
     def _render_buffer(self, buffer: Iterable[Segment]) -> str:
         """Render buffered output, and clear buffer."""
         output: List[str] = []
         append = output.append
         color_system = self._color_system
         legacy_windows = self.legacy_windows
-        if self.record:
-            with self._record_buffer_lock:
-                self._record_buffer.extend(buffer)
         not_terminal = not self.is_terminal
         if self.no_color and color_system:
             buffer = Segment.remove_color(buffer)
@@ -1982,23 +2056,15 @@ def input(
         Returns:
             str: Text read from stdin.
         """
-        prompt_str = ""
         if prompt:
-            with self.capture() as capture:
-                self.print(prompt, markup=markup, emoji=emoji, end="")
-            prompt_str = capture.get()
-        if self.legacy_windows:
-            # Legacy windows doesn't like ANSI codes in getpass or input (colorama bug)?
-            self.file.write(prompt_str)
-            prompt_str = ""
+            self.print(prompt, markup=markup, emoji=emoji, end="")
         if password:
-            result = getpass(prompt_str, stream=stream)
+            result = getpass("", stream=stream)
         else:
             if stream:
-                self.file.write(prompt_str)
                 result = stream.readline()
             else:
-                result = input(prompt_str)
+                result = input()
         return result
 
     def export_text(self, *, clear: bool = True, styles: bool = False) -> str:
@@ -2060,8 +2126,8 @@ def export_html(
         Args:
             theme (TerminalTheme, optional): TerminalTheme object containing console colors.
             clear (bool, optional): Clear record buffer after exporting. Defaults to ``True``.
-            code_format (str, optional): Format string to render HTML, should contain {foreground}
-                {background} and {code}.
+            code_format (str, optional): Format string to render HTML. In addition to '{foreground}',
+                '{background}', and '{code}', should contain '{stylesheet}' if inline_styles is ``False``.
             inline_styles (bool, optional): If ``True`` styles will be inlined in to spans, which makes files
                 larger but easier to cut and paste markup. If ``False``, styles will be embedded in a style tag.
                 Defaults to False.
@@ -2137,8 +2203,8 @@ def save_html(
             path (str): Path to write html file.
             theme (TerminalTheme, optional): TerminalTheme object containing console colors.
             clear (bool, optional): Clear record buffer after exporting. Defaults to ``True``.
-            code_format (str, optional): Format string to render HTML, should contain {foreground}
-                {background} and {code}.
+            code_format (str, optional): Format string to render HTML. In addition to '{foreground}',
+                '{background}', and '{code}', should contain '{stylesheet}' if inline_styles is ``False``.
             inline_styles (bool, optional): If ``True`` styles will be inlined in to spans, which makes files
                 larger but easier to cut and paste markup. If ``False``, styles will be embedded in a style tag.
                 Defaults to False.
@@ -2153,9 +2219,195 @@ def save_html(
         with open(path, "wt", encoding="utf-8") as write_file:
             write_file.write(html)
 
+    def export_svg(
+        self,
+        *,
+        title: str = "Rich",
+        theme: Optional[TerminalTheme] = None,
+        clear: bool = True,
+        code_format: str = CONSOLE_SVG_FORMAT,
+    ) -> str:
+        """Generate an SVG string from the console contents (requires record=True in Console constructor)
+
+        Args:
+            title (str): The title of the tab in the output image
+            theme (TerminalTheme, optional): The ``TerminalTheme`` object to use to style the terminal
+            clear (bool, optional): Clear record buffer after exporting. Defaults to ``True``
+            code_format (str): Format string used to generate the SVG. Rich will inject a number of variables
+                into the string in order to form the final SVG output. The default template used and the variables
+                injected by Rich can be found by inspecting the ``console.CONSOLE_SVG_FORMAT`` variable.
+
+        Returns:
+            str: The string representation of the SVG. That is, the ``code_format`` template with content injected.
+        """
+        assert (
+            self.record
+        ), "To export console contents set record=True in the constructor or instance"
+
+        _theme = theme or SVG_EXPORT_THEME
+
+        with self._record_buffer_lock:
+            segments = Segment.simplify(self._record_buffer)
+            segments = Segment.filter_control(segments)
+            parts = [(text, style or Style.null()) for text, style, _ in segments]
+            terminal_text = Text.assemble(*parts)
+            lines = terminal_text.wrap(self, width=self.width, overflow="fold")
+            segments = self.render(lines, options=self.options)
+            segment_lines = list(
+                Segment.split_and_crop_lines(
+                    segments, length=self.width, include_new_lines=False
+                )
+            )
+
+            fragments: List[str] = []
+            theme_foreground_color = _theme.foreground_color.hex
+            theme_background_color = _theme.background_color.hex
+
+            theme_foreground_css = f"color: {theme_foreground_color}; text-decoration-color: {theme_foreground_color};"
+            theme_background_css = f"background-color: {theme_background_color};"
+
+            theme_css = theme_foreground_css + theme_background_css
+
+            styles: Dict[str, int] = {}
+            styles[theme_css] = 1
+
+            for line in segment_lines:
+                line_spans = []
+                for segment in line:
+                    text, style, _ = segment
+                    text = escape(text)
+                    if style:
+                        rules = style.get_html_style(_theme)
+                        if style.link:
+                            text = f'{text}'
+
+                        if style.blink or style.blink2:
+                            text = f'{text}'
+
+                        # If the style doesn't contain a color, we still
+                        # need to make sure we output the default foreground color
+                        # from the TerminalTheme.
+                        if not style.reverse:
+                            foreground_css = theme_foreground_css
+                            background_css = theme_background_css
+                        else:
+                            foreground_css = f"color: {theme_background_color}; text-decoration-color: {theme_background_color};"
+                            background_css = (
+                                f"background-color: {theme_foreground_color};"
+                            )
+
+                        if style.color is None:
+                            rules += f";{foreground_css}"
+                        if style.bgcolor is None:
+                            rules += f";{background_css}"
+
+                        style_number = styles.setdefault(rules, len(styles) + 1)
+                        text = f'{text}'
+                    else:
+                        text = f'{text}'
+                    line_spans.append(text)
+
+                fragments.append(f"
{''.join(line_spans)}
")
+
+            main_code = "\n".join(fragments)
+            classes_prefix = f"{_SVG_CLASSES_PREFIX}-{_svg_hash(main_code)}"
+
+            stylesheet_rules = []
+            for style_rule, style_number in styles.items():
+                if style_rule:
+                    stylesheet_rules.append(
+                        f".{classes_prefix}-terminal-body .r{style_number} {{{ style_rule }}}"
+                    )
+            stylesheet = "\n".join(stylesheet_rules)
+
+            if clear:
+                self._record_buffer.clear()
+
+        # These values are the ones that I found to work well after experimentation.
+        # Many of them can be tweaked, but too much variation from these values could
+        # result in visually broken output/clipping issues.
+        terminal_padding = 12
+        font_size = 18
+        line_height = font_size + 4
+        code_start_y = 60
+        required_code_height = line_height * len(lines)
+        margin = 140
+
+        # Monospace fonts are generally around 0.5-0.55 width/height ratio, but I've
+        # added extra width to ensure that the output SVG is big enough.
+        monospace_font_width_scale = 0.60
+
+        # This works out as a good heuristic for the final size of the drawn terminal.
+        terminal_height = required_code_height + code_start_y
+        terminal_width = (
+            self.width * monospace_font_width_scale * font_size
+            + 2 * terminal_padding
+            + self.width
+        )
+        total_height = terminal_height + 2 * margin
+        total_width = terminal_width + 2 * margin
+
+        rendered_code = code_format.format(
+            code=main_code,
+            total_height=total_height,
+            total_width=total_width,
+            theme_foreground_color=theme_foreground_color,
+            theme_background_color=theme_background_color,
+            margin=margin,
+            font_size=font_size,
+            font_family=_SVG_FONT_FAMILY,
+            classes_prefix=classes_prefix,
+            line_height=line_height,
+            title=title,
+            stylesheet=stylesheet,
+        )
+
+        return rendered_code
+
+    def save_svg(
+        self,
+        path: str,
+        *,
+        title: str = "Rich",
+        theme: Optional[TerminalTheme] = None,
+        clear: bool = True,
+        code_format: str = CONSOLE_SVG_FORMAT,
+    ) -> None:
+        """Generate an SVG file from the console contents (requires record=True in Console constructor).
+
+        Args:
+            path (str): The path to write the SVG to.
+            title (str): The title of the tab in the output image
+            theme (TerminalTheme, optional): The ``TerminalTheme`` object to use to style the terminal
+            clear (bool, optional): Clear record buffer after exporting. Defaults to ``True``
+            code_format (str): Format string used to generate the SVG. Rich will inject a number of variables
+                into the string in order to form the final SVG output. The default template used and the variables
+                injected by Rich can be found by inspecting the ``console.CONSOLE_SVG_FORMAT`` variable.
+        """
+        svg = self.export_svg(
+            title=title,
+            theme=theme,
+            clear=clear,
+            code_format=code_format,
+        )
+        with open(path, "wt", encoding="utf-8") as write_file:
+            write_file.write(svg)
+
+
+def _svg_hash(svg_main_code: str) -> str:
+    """Returns a unique hash for the given SVG main code.
+
+    Args:
+        svg_main_code (str): The content we're going to inject in the SVG envelope.
+
+    Returns:
+        str: a hash of the given content
+    """
+    return str(zlib.adler32(svg_main_code.encode()))
+
 
 if __name__ == "__main__":  # pragma: no cover
-    console = Console()
+    console = Console(record=True)
 
     console.log(
         "JSONRPC [i]request[/i]",
@@ -2208,4 +2460,3 @@ def save_html(
             },
         }
     )
-    console.log("foo")
diff --git a/rich/control.py b/rich/control.py
index c98d0d7d98..747311fcea 100644
--- a/rich/control.py
+++ b/rich/control.py
@@ -1,4 +1,5 @@
-from typing import Any, Callable, Dict, Iterable, List, TYPE_CHECKING, Union
+import time
+from typing import TYPE_CHECKING, Callable, Dict, Iterable, List, Union
 
 from .segment import ControlCode, ControlType, Segment
 
@@ -30,6 +31,7 @@
     ControlType.CURSOR_MOVE_TO_COLUMN: lambda param: f"\x1b[{param+1}G",
     ControlType.ERASE_IN_LINE: lambda param: f"\x1b[{param}K",
     ControlType.CURSOR_MOVE_TO: lambda x, y: f"\x1b[{y+1};{x+1}H",
+    ControlType.SET_WINDOW_TITLE: lambda title: f"\x1b]0;{title}\x07",
 }
 
 
@@ -147,6 +149,15 @@ def alt_screen(cls, enable: bool) -> "Control":
         else:
             return cls(ControlType.DISABLE_ALT_SCREEN)
 
+    @classmethod
+    def title(cls, title: str) -> "Control":
+        """Set the terminal window title
+
+        Args:
+            title (str): The new terminal window title
+        """
+        return cls((ControlType.SET_WINDOW_TITLE, title))
+
     def __str__(self) -> str:
         return self.segment.text
 
@@ -172,4 +183,11 @@ def strip_control_codes(
 
 
 if __name__ == "__main__":  # pragma: no cover
-    print(strip_control_codes("hello\rWorld"))
+    from rich.console import Console
+
+    console = Console()
+    console.print("Look at the title of your terminal window ^")
+    # console.print(Control((ControlType.SET_WINDOW_TITLE, "Hello, world!")))
+    for i in range(10):
+        console.set_window_title("🚀 Loading" + "." * i)
+        time.sleep(0.5)
diff --git a/rich/default_styles.py b/rich/default_styles.py
index d803eec91d..1969bb787b 100644
--- a/rich/default_styles.py
+++ b/rich/default_styles.py
@@ -78,6 +78,7 @@
     "repr.attrib_equal": Style(bold=True),
     "repr.attrib_value": Style(color="magenta", italic=False),
     "repr.number": Style(color="cyan", bold=True, italic=False),
+    "repr.number_complex": Style(color="cyan", bold=True, italic=False),  # same
     "repr.bool_true": Style(color="bright_green", italic=True),
     "repr.bool_false": Style(color="bright_red", italic=True),
     "repr.none": Style(color="magenta", italic=True),
diff --git a/rich/file_proxy.py b/rich/file_proxy.py
index 3ec593a5a4..cc69f22f3c 100644
--- a/rich/file_proxy.py
+++ b/rich/file_proxy.py
@@ -1,5 +1,5 @@
 import io
-from typing import List, Any, IO, TYPE_CHECKING
+from typing import IO, TYPE_CHECKING, Any, List
 
 from .ansi import AnsiDecoder
 from .text import Text
@@ -48,7 +48,7 @@ def write(self, text: str) -> int:
         return len(text)
 
     def flush(self) -> None:
-        buffer = self.__buffer
-        if buffer:
-            self.__console.print("".join(buffer))
-            del buffer[:]
+        output = "".join(self.__buffer)
+        if output:
+            self.__console.print(output)
+        del self.__buffer[:]
diff --git a/rich/filesize.py b/rich/filesize.py
index b3a0996b05..61be47510f 100644
--- a/rich/filesize.py
+++ b/rich/filesize.py
@@ -13,7 +13,7 @@
 
 __all__ = ["decimal"]
 
-from typing import Iterable, List, Tuple, Optional
+from typing import Iterable, List, Optional, Tuple
 
 
 def _to_str(
@@ -30,7 +30,7 @@ def _to_str(
         return "{:,} bytes".format(size)
 
     for i, suffix in enumerate(suffixes, 2):  # noqa: B007
-        unit = base ** i
+        unit = base**i
         if size < unit:
             break
     return "{:,.{precision}f}{separator}{}".format(
@@ -44,7 +44,7 @@ def _to_str(
 def pick_unit_and_suffix(size: int, suffixes: List[str], base: int) -> Tuple[int, str]:
     """Pick a suffix and base for the given size."""
     for i, suffix in enumerate(suffixes):
-        unit = base ** i
+        unit = base**i
         if size < unit * base:
             break
     return unit, suffix
diff --git a/rich/highlighter.py b/rich/highlighter.py
index 8afdd017b6..193261c4c1 100644
--- a/rich/highlighter.py
+++ b/rich/highlighter.py
@@ -1,7 +1,8 @@
+import re
 from abc import ABC, abstractmethod
 from typing import List, Union
 
-from .text import Text
+from .text import Span, Text
 
 
 def _combine_regex(*regexes: str) -> str:
@@ -81,22 +82,23 @@ class ReprHighlighter(RegexHighlighter):
 
     base_style = "repr."
     highlights = [
-        r"(?P\<)(?P[\w\-\.\:]*)(?P[\w\W]*?)(?P\>)",
-        r"(?P[\w_]{1,50})=(?P\"?[\w_]+\"?)?",
-        r"(?P[\{\[\(\)\]\}])",
+        r"(?P<)(?P[-\w.:|]*)(?P[\w\W]*?)(?P>)",
+        r'(?P[\w_]{1,50})=(?P"?[\w_]+"?)?',
+        r"(?P[][{}()])",
         _combine_regex(
             r"(?P[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3})",
             r"(?P([A-Fa-f0-9]{1,4}::?){1,7}[A-Fa-f0-9]{1,4})",
             r"(?P(?:[0-9A-Fa-f]{1,2}-){7}[0-9A-Fa-f]{1,2}|(?:[0-9A-Fa-f]{1,2}:){7}[0-9A-Fa-f]{1,2}|(?:[0-9A-Fa-f]{4}\.){3}[0-9A-Fa-f]{4})",
             r"(?P(?:[0-9A-Fa-f]{1,2}-){5}[0-9A-Fa-f]{1,2}|(?:[0-9A-Fa-f]{1,2}:){5}[0-9A-Fa-f]{1,2}|(?:[0-9A-Fa-f]{4}\.){2}[0-9A-Fa-f]{4})",
-            r"(?P[\w\.]*?)\(",
+            r"(?P[a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12})",
+            r"(?P[\w.]*?)\(",
             r"\b(?PTrue)\b|\b(?PFalse)\b|\b(?PNone)\b",
             r"(?P\.\.\.)",
-            r"(?P(?\B(\/[\w\.\-\_\+]+)*\/)(?P[\w\.\-\_\+]*)?",
-            r"(?b?\'\'\'.*?(?[a-fA-F0-9]{8}\-[a-fA-F0-9]{4}\-[a-fA-F0-9]{4}\-[a-fA-F0-9]{4}\-[a-fA-F0-9]{12})",
-            r"(?P(file|https|http|ws|wss):\/\/[0-9a-zA-Z\$\-\_\+\!`\(\)\,\.\?\/\;\:\&\=\%\#]*)",
+            r"(?P(?(?\B(/[-\w._+]+)*\/)(?P[-\w._+]*)?",
+            r"(?b?'''.*?(?(file|https|http|ws|wss)://[-0-9a-zA-Z$_+!`(),.?/;:&=%#]*)",
         ),
     ]
 
@@ -104,17 +106,39 @@ class ReprHighlighter(RegexHighlighter):
 class JSONHighlighter(RegexHighlighter):
     """Highlights JSON"""
 
+    # Captures the start and end of JSON strings, handling escaped quotes
+    JSON_STR = r"(?b?\".*?(?[\{\[\(\)\]\}])",
             r"\b(?Ptrue)\b|\b(?Pfalse)\b|\b(?Pnull)\b",
             r"(?P(?b?\".*?(?b?\".*?(? None:
+        super().highlight(text)
+
+        # Additional work to handle highlighting JSON keys
+        plain = text.plain
+        append = text.spans.append
+        whitespace = self.JSON_WHITESPACE
+        for match in re.finditer(self.JSON_STR, plain):
+            start, end = match.span()
+            cursor = end
+            while cursor < len(plain):
+                char = plain[cursor]
+                cursor += 1
+                if char == ":":
+                    append(Span(start, end, "json.key"))
+                elif char in whitespace:
+                    continue
+                break
+
 
 if __name__ == "__main__":  # pragma: no cover
     from .console import Console
@@ -145,3 +169,6 @@ class JSONHighlighter(RegexHighlighter):
     console.print(
         "127.0.1.1 bar 192.168.1.4 2001:0db8:85a3:0000:0000:8a2e:0370:7334 foo"
     )
+    import json
+
+    console.print_json(json.dumps(obj={"name": "apple", "count": 1}), indent=None)
diff --git a/rich/jupyter.py b/rich/jupyter.py
index bedf5cb19a..7608bd0177 100644
--- a/rich/jupyter.py
+++ b/rich/jupyter.py
@@ -1,9 +1,15 @@
-from typing import Any, Dict, Iterable, List
+from typing import Any, Dict, Iterable, List, TYPE_CHECKING, Sequence
+
+if TYPE_CHECKING:
+    from rich.console import ConsoleRenderable
 
 from . import get_console
 from .segment import Segment
 from .terminal_theme import DEFAULT_TERMINAL_THEME
 
+if TYPE_CHECKING:
+    from rich.console import ConsoleRenderable
+
 JUPYTER_HTML_FORMAT = """\
 
{code}

 """
@@ -17,7 +23,7 @@ def __init__(self, html: str, text: str) -> None:
         self.text = text
 
     def _repr_mimebundle_(
-        self, include: Iterable[str], exclude: Iterable[str], **kwargs: Any
+        self, include: Sequence[str], exclude: Sequence[str], **kwargs: Any
     ) -> Dict[str, str]:
         data = {"text/plain": self.text, "text/html": self.html}
         if include:
@@ -33,10 +39,13 @@ class JupyterMixin:
     __slots__ = ()
 
     def _repr_mimebundle_(
-        self, include: Iterable[str], exclude: Iterable[str], **kwargs: Any
+        self: "ConsoleRenderable",
+        include: Sequence[str],
+        exclude: Sequence[str],
+        **kwargs: Any,
     ) -> Dict[str, str]:
         console = get_console()
-        segments = list(console.render(self, console.options))  # type: ignore
+        segments = list(console.render(self, console.options))
         html = _render_segments(segments)
         text = console._render_buffer(segments)
         data = {"text/plain": text, "text/html": html}
@@ -63,7 +72,7 @@ def escape(text: str) -> str:
             rule = style.get_html_style(theme)
             text = f'{text}' if rule else text
             if style.link:
-                text = f'{text}'
+                text = f'{text}'
         append_fragment(text)
 
     code = "".join(fragments)
diff --git a/rich/layout.py b/rich/layout.py
index e25ced675c..2030c04018 100644
--- a/rich/layout.py
+++ b/rich/layout.py
@@ -73,6 +73,7 @@ def __rich_console__(
             style=self.style,
             title=self.highlighter(title),
             border_style="blue",
+            height=height,
         )
 
 
@@ -299,7 +300,7 @@ def add_split(self, *layouts: Union["Layout", RenderableType]) -> None:
         self._children.extend(_layouts)
 
     def split_row(self, *layouts: Union["Layout", RenderableType]) -> None:
-        """Split the layout in tow a row (Layouts side by side).
+        """Split the layout in to a row (layouts side by side).
 
         Args:
             *layouts (Layout): Positional arguments should be (sub) Layout instances.
diff --git a/rich/logging.py b/rich/logging.py
index 002f1f7bf1..58188fd8a8 100644
--- a/rich/logging.py
+++ b/rich/logging.py
@@ -2,7 +2,8 @@
 from datetime import datetime
 from logging import Handler, LogRecord
 from pathlib import Path
-from typing import ClassVar, List, Optional, Type, Union
+from types import ModuleType
+from typing import ClassVar, List, Optional, Iterable, Type, Union
 
 from . import get_console
 from ._log_render import LogRender, FormatTimeCallable
@@ -37,10 +38,12 @@ class RichHandler(Handler):
         tracebacks_theme (str, optional): Override pygments theme used in traceback.
         tracebacks_word_wrap (bool, optional): Enable word wrapping of long tracebacks lines. Defaults to True.
         tracebacks_show_locals (bool, optional): Enable display of locals in tracebacks. Defaults to False.
+        tracebacks_suppress (Sequence[Union[str, ModuleType]]): Optional sequence of modules or paths to exclude from traceback.
         locals_max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
             Defaults to 10.
         locals_max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to 80.
         log_time_format (Union[str, TimeFormatterCallable], optional): If ``log_time`` is enabled, either string for strftime or callable that formats the time. Defaults to "[%x %X] ".
+        keywords (List[str], optional): List of words to highlight instead of ``RichHandler.KEYWORDS``.
     """
 
     KEYWORDS: ClassVar[Optional[List[str]]] = [
@@ -73,9 +76,11 @@ def __init__(
         tracebacks_theme: Optional[str] = None,
         tracebacks_word_wrap: bool = True,
         tracebacks_show_locals: bool = False,
+        tracebacks_suppress: Iterable[Union[str, ModuleType]] = (),
         locals_max_length: int = 10,
         locals_max_string: int = 80,
         log_time_format: Union[str, FormatTimeCallable] = "[%x %X]",
+        keywords: Optional[List[str]] = None,
     ) -> None:
         super().__init__(level=level)
         self.console = console or get_console()
@@ -96,8 +101,10 @@ def __init__(
         self.tracebacks_theme = tracebacks_theme
         self.tracebacks_word_wrap = tracebacks_word_wrap
         self.tracebacks_show_locals = tracebacks_show_locals
+        self.tracebacks_suppress = tracebacks_suppress
         self.locals_max_length = locals_max_length
         self.locals_max_string = locals_max_string
+        self.keywords = keywords
 
     def get_level_text(self, record: LogRecord) -> Text:
         """Get the level name from the record.
@@ -137,6 +144,7 @@ def emit(self, record: LogRecord) -> None:
                 show_locals=self.tracebacks_show_locals,
                 locals_max_length=self.locals_max_length,
                 locals_max_string=self.locals_max_string,
+                suppress=self.tracebacks_suppress,
             )
             message = record.getMessage()
             if self.formatter:
@@ -171,8 +179,12 @@ def render_message(self, record: LogRecord, message: str) -> "ConsoleRenderable"
         if highlighter:
             message_text = highlighter(message_text)
 
-        if self.KEYWORDS:
-            message_text.highlight_words(self.KEYWORDS, "logging.keyword")
+        if self.keywords is None:
+            self.keywords = self.KEYWORDS
+
+        if self.keywords:
+            message_text.highlight_words(self.keywords, "logging.keyword")
+
         return message_text
 
     def render(
diff --git a/rich/markdown.py b/rich/markdown.py
index 186e103697..b3e6504197 100644
--- a/rich/markdown.py
+++ b/rich/markdown.py
@@ -613,11 +613,12 @@ def __rich_console__(
         import pydoc
         import io
 
+        fileio = io.StringIO()
         console = Console(
-            file=io.StringIO(), force_terminal=args.force_color, width=args.width
+            file=fileio, force_terminal=args.force_color, width=args.width
         )
         console.print(markdown)
-        pydoc.pager(console.file.getvalue())  # type: ignore
+        pydoc.pager(fileio.getvalue())
 
     else:
         console = Console(force_terminal=args.force_color, width=args.width)
diff --git a/rich/markup.py b/rich/markup.py
index 58903f6bbb..0ffd056dde 100644
--- a/rich/markup.py
+++ b/rich/markup.py
@@ -1,21 +1,20 @@
+import re
 from ast import literal_eval
 from operator import attrgetter
-import re
 from typing import Callable, Iterable, List, Match, NamedTuple, Optional, Tuple, Union
 
+from ._emoji_replace import _emoji_replace
+from .emoji import EmojiVariant
 from .errors import MarkupError
 from .style import Style
 from .text import Span, Text
-from .emoji import EmojiVariant
-from ._emoji_replace import _emoji_replace
-
 
 RE_TAGS = re.compile(
-    r"""((\\*)\[([a-z#\/@].*?)\])""",
+    r"""((\\*)\[([a-z#/@][^[]*?)])""",
     re.VERBOSE,
 )
 
-RE_HANDLER = re.compile(r"^([\w\.]*?)(\(.*?\))?$")
+RE_HANDLER = re.compile(r"^([\w.]*?)(\(.*?\))?$")
 
 
 class Tag(NamedTuple):
@@ -47,7 +46,8 @@ def markup(self) -> str:
 
 
 def escape(
-    markup: str, _escape: _EscapeSubMethod = re.compile(r"(\\*)(\[[a-z#\/@].*?\])").sub
+    markup: str,
+    _escape: _EscapeSubMethod = re.compile(r"(\\*)(\[[a-z#/@][^[]*?])").sub,
 ) -> str:
     """Escapes text so that it won't be interpreted as markup.
 
@@ -146,6 +146,8 @@ def pop_style(style_name: str) -> Tuple[int, Tag]:
 
     for position, plain_text, tag in _parse(markup):
         if plain_text is not None:
+            # Handle open brace escapes, where the brace is not part of a tag.
+            plain_text = plain_text.replace("\\[", "[")
             append(emoji_replace(plain_text) if emoji else plain_text)
         elif tag is not None:
             if tag.name.startswith("/"):  # Closing tag
@@ -233,8 +235,8 @@ def pop_style(style_name: str) -> Tuple[int, Tag]:
         ":warning-emoji: [bold red blink] DANGER![/]",
     ]
 
-    from rich.table import Table
     from rich import print
+    from rich.table import Table
 
     grid = Table("Markup", "Result", padding=(0, 1))
 
diff --git a/rich/measure.py b/rich/measure.py
index e12787c8be..a508ffa80b 100644
--- a/rich/measure.py
+++ b/rich/measure.py
@@ -1,5 +1,5 @@
 from operator import itemgetter
-from typing import TYPE_CHECKING, Callable, Iterable, NamedTuple, Optional
+from typing import TYPE_CHECKING, Callable, NamedTuple, Optional, Sequence
 
 from . import errors
 from .protocol import is_renderable, rich_cast
@@ -125,7 +125,7 @@ def get(
 def measure_renderables(
     console: "Console",
     options: "ConsoleOptions",
-    renderables: Iterable["RenderableType"],
+    renderables: Sequence["RenderableType"],
 ) -> "Measurement":
     """Get a measurement that would fit a number of renderables.
 
diff --git a/rich/pager.py b/rich/pager.py
index dbfb973e36..a3f7aa62af 100644
--- a/rich/pager.py
+++ b/rich/pager.py
@@ -1,5 +1,5 @@
 from abc import ABC, abstractmethod
-from typing import Any, Callable
+from typing import Any
 
 
 class Pager(ABC):
diff --git a/rich/panel.py b/rich/panel.py
index 151fe5f017..fc2807c313 100644
--- a/rich/panel.py
+++ b/rich/panel.py
@@ -1,14 +1,13 @@
-from typing import Optional, TYPE_CHECKING
-
-from .box import Box, ROUNDED
+from typing import TYPE_CHECKING, Optional
 
 from .align import AlignMethod
+from .box import ROUNDED, Box
 from .jupyter import JupyterMixin
 from .measure import Measurement, measure_renderables
 from .padding import Padding, PaddingDimensions
+from .segment import Segment
 from .style import StyleType
 from .text import Text, TextType
-from .segment import Segment
 
 if TYPE_CHECKING:
     from .console import Console, ConsoleOptions, RenderableType, RenderResult
@@ -183,7 +182,7 @@ def __rich_console__(
         else:
             title_text.align(self.title_align, width - 4, character=box.top)
             yield Segment(box.top_left + box.top, border_style)
-            yield from console.render(title_text)
+            yield from console.render(title_text, child_options.update_width(width - 4))
             yield Segment(box.top + box.top_right, border_style)
 
         yield new_line
@@ -202,7 +201,9 @@ def __rich_console__(
         else:
             subtitle_text.align(self.subtitle_align, width - 4, character=box.bottom)
             yield Segment(box.bottom_left + box.bottom, border_style)
-            yield from console.render(subtitle_text)
+            yield from console.render(
+                subtitle_text, child_options.update_width(width - 4)
+            )
             yield Segment(box.bottom + box.bottom_right, border_style)
 
         yield new_line
@@ -235,8 +236,8 @@ def __rich_measure__(
 
     c = Console()
 
+    from .box import DOUBLE, ROUNDED
     from .padding import Padding
-    from .box import ROUNDED, DOUBLE
 
     p = Panel(
         "Hello, World!",
diff --git a/rich/pretty.py b/rich/pretty.py
index f42434ef5c..1c6b167166 100644
--- a/rich/pretty.py
+++ b/rich/pretty.py
@@ -1,4 +1,5 @@
 import builtins
+import collections
 import dataclasses
 import inspect
 import os
@@ -18,6 +19,7 @@
     Iterable,
     List,
     Optional,
+    Sequence,
     Set,
     Tuple,
     Union,
@@ -27,9 +29,10 @@
 
 try:
     import attr as _attr_module
-except ImportError:  # pragma: no cover
-    _attr_module = None  # type: ignore
 
+    _has_attrs = True
+except ImportError:  # pragma: no cover
+    _has_attrs = False
 
 from . import get_console
 from ._loop import loop_last
@@ -54,12 +57,12 @@
 
 def _is_attr_object(obj: Any) -> bool:
     """Check if an object was created with attrs module."""
-    return _attr_module is not None and _attr_module.has(type(obj))
+    return _has_attrs and _attr_module.has(type(obj))
 
 
-def _get_attr_fields(obj: Any) -> Iterable["_attr_module.Attribute[Any]"]:
+def _get_attr_fields(obj: Any) -> Sequence["_attr_module.Attribute[Any]"]:
     """Get fields for an attrs object."""
-    return _attr_module.fields(type(obj)) if _attr_module is not None else []
+    return _attr_module.fields(type(obj)) if _has_attrs else []
 
 
 def _is_dataclass_repr(obj: object) -> bool:
@@ -79,6 +82,29 @@ def _is_dataclass_repr(obj: object) -> bool:
         return False
 
 
+_dummy_namedtuple = collections.namedtuple("_dummy_namedtuple", [])
+
+
+def _has_default_namedtuple_repr(obj: object) -> bool:
+    """Check if an instance of namedtuple contains the default repr
+
+    Args:
+        obj (object): A namedtuple
+
+    Returns:
+        bool: True if the default repr is used, False if there's a custom repr.
+    """
+    obj_file = None
+    try:
+        obj_file = inspect.getfile(obj.__repr__)
+    except (OSError, TypeError):
+        # OSError handles case where object is defined in __main__ scope, e.g. REPL - no filename available.
+        # TypeError trapped defensively, in case of object without filename slips through.
+        pass
+    default_repr_file = inspect.getfile(_dummy_namedtuple.__repr__)
+    return obj_file == default_repr_file
+
+
 def _ipy_display_hook(
     value: Any,
     console: Optional["Console"] = None,
@@ -184,7 +210,7 @@ def display_hook(value: Any) -> None:
         """Replacement sys.displayhook which prettifies objects with Rich."""
         if value is not None:
             assert console is not None
-            builtins._ = None  # type: ignore
+            builtins._ = None  # type: ignore[attr-defined]
             console.print(
                 value
                 if _safe_isinstance(value, RichRenderable)
@@ -198,13 +224,13 @@ def display_hook(value: Any) -> None:
                 ),
                 crop=crop,
             )
-            builtins._ = value  # type: ignore
+            builtins._ = value  # type: ignore[attr-defined]
 
     try:  # pragma: no cover
-        ip = get_ipython()  # type: ignore
+        ip = get_ipython()  # type: ignore[name-defined]
         from IPython.core.formatters import BaseFormatter
 
-        class RichFormatter(BaseFormatter):  # type: ignore
+        class RichFormatter(BaseFormatter):  # type: ignore[misc]
             pprint: bool = True
 
             def __call__(self, value: Any) -> Any:
@@ -323,6 +349,7 @@ def __rich_measure__(
             indent_size=self.indent_size,
             max_length=self.max_length,
             max_string=self.max_string,
+            expand_all=self.expand_all,
         )
         text_width = (
             max(cell_len(line) for line in pretty_str.splitlines()) if pretty_str else 0
@@ -339,7 +366,7 @@ def _get_braces_for_defaultdict(_object: DefaultDict[Any, Any]) -> Tuple[str, st
 
 
 def _get_braces_for_array(_object: "array[Any]") -> Tuple[str, str, str]:
-    return (f"array({_object.typecode!r}, [", "])", "array({_object.typecode!r})")
+    return (f"array({_object.typecode!r}, [", "])", f"array({_object.typecode!r})")
 
 
 _BRACES: Dict[type, Callable[[Any], Tuple[str, str, str]]] = {
@@ -382,6 +409,7 @@ class Node:
     empty: str = ""
     last: bool = False
     is_tuple: bool = False
+    is_namedtuple: bool = False
     children: Optional[List["Node"]] = None
     key_separator = ": "
     separator: str = ", "
@@ -396,7 +424,7 @@ def iter_tokens(self) -> Iterable[str]:
         elif self.children is not None:
             if self.children:
                 yield self.open_brace
-                if self.is_tuple and len(self.children) == 1:
+                if self.is_tuple and not self.is_namedtuple and len(self.children) == 1:
                     yield from self.children[0].iter_tokens()
                     yield ","
                 else:
@@ -523,6 +551,25 @@ def __str__(self) -> str:
             )
 
 
+def _is_namedtuple(obj: Any) -> bool:
+    """Checks if an object is most likely a namedtuple. It is possible
+    to craft an object that passes this check and isn't a namedtuple, but
+    there is only a minuscule chance of this happening unintentionally.
+
+    Args:
+        obj (Any): The object to test
+
+    Returns:
+        bool: True if the object is a namedtuple. False otherwise.
+    """
+    try:
+        fields = getattr(obj, "_fields", None)
+    except Exception:
+        # Being very defensive - if we cannot get the attr then its not a namedtuple
+        return False
+    return isinstance(obj, tuple) and isinstance(fields, tuple)
+
+
 def traverse(
     _object: Any,
     max_length: Optional[int] = None,
@@ -730,7 +777,25 @@ def iter_attrs() -> Iterable[
                     append(child_node)
 
                 pop_visited(obj_id)
-
+        elif _is_namedtuple(obj) and _has_default_namedtuple_repr(obj):
+            if reached_max_depth:
+                node = Node(value_repr="...")
+            else:
+                children = []
+                class_name = obj.__class__.__name__
+                node = Node(
+                    open_brace=f"{class_name}(",
+                    close_brace=")",
+                    children=children,
+                    empty=f"{class_name}()",
+                )
+                append = children.append
+                for last, (key, value) in loop_last(obj._asdict().items()):
+                    child_node = _traverse(value, depth=depth + 1)
+                    child_node.key_repr = key
+                    child_node.last = last
+                    child_node.key_separator = "="
+                    append(child_node)
         elif _safe_isinstance(obj, _CONTAINERS):
             for container_type in _CONTAINERS:
                 if _safe_isinstance(obj, container_type):
@@ -779,7 +844,7 @@ def iter_attrs() -> Iterable[
                         child_node.last = index == last_item_index
                         append(child_node)
                 if max_length is not None and num_items > max_length:
-                    append(Node(value_repr=f"... +{num_items-max_length}", last=True))
+                    append(Node(value_repr=f"... +{num_items - max_length}", last=True))
             else:
                 node = Node(empty=empty, children=[], last=root)
 
@@ -787,6 +852,7 @@ def iter_attrs() -> Iterable[
         else:
             node = Node(value_repr=to_repr(obj), last=root)
         node.is_tuple = _safe_isinstance(obj, tuple)
+        node.is_namedtuple = _is_namedtuple(obj)
         return node
 
     node = _traverse(_object, root=True)
@@ -877,6 +943,15 @@ def __repr__(self) -> str:
             1 / 0
             return "this will fail"
 
+    from typing import NamedTuple
+
+    class StockKeepingUnit(NamedTuple):
+        name: str
+        description: str
+        price: float
+        category: str
+        reviews: List[str]
+
     d = defaultdict(int)
     d["foo"] = 5
     data = {
@@ -903,9 +978,16 @@ def __repr__(self) -> str:
             ]
         ),
         "atomic": (False, True, None),
+        "namedtuple": StockKeepingUnit(
+            "Sparkling British Spring Water",
+            "Carbonated spring water",
+            0.9,
+            "water",
+            ["its amazing!", "its terrible!"],
+        ),
         "Broken": BrokenRepr(),
     }
-    data["foo"].append(data)  # type: ignore
+    data["foo"].append(data)  # type: ignore[attr-defined]
 
     from rich import print
 
diff --git a/rich/progress.py b/rich/progress.py
index 115ae81608..ca52c4b98b 100644
--- a/rich/progress.py
+++ b/rich/progress.py
@@ -1,30 +1,46 @@
+import io
+import sys
+import typing
+import warnings
 from abc import ABC, abstractmethod
 from collections import deque
 from collections.abc import Sized
 from dataclasses import dataclass, field
 from datetime import timedelta
+from io import RawIOBase, UnsupportedOperation
 from math import ceil
+from mmap import mmap
+from os import PathLike, stat
 from threading import Event, RLock, Thread
 from types import TracebackType
 from typing import (
     Any,
+    BinaryIO,
     Callable,
+    ContextManager,
     Deque,
     Dict,
+    Generic,
     Iterable,
     List,
     NamedTuple,
     NewType,
     Optional,
     Sequence,
+    TextIO,
     Tuple,
     Type,
     TypeVar,
     Union,
 )
 
+if sys.version_info >= (3, 8):
+    from typing import Literal
+else:
+    from typing_extensions import Literal  # pragma: no cover
+
 from . import filesize, get_console
-from .console import Console, JustifyMethod, RenderableType, Group
+from .console import Console, Group, JustifyMethod, RenderableType
 from .highlighter import Highlighter
 from .jupyter import JupyterMixin
 from .live import Live
@@ -41,6 +57,9 @@
 GetTimeCallable = Callable[[], float]
 
 
+_I = typing.TypeVar("_I", TextIO, BinaryIO)
+
+
 class _TrackThread(Thread):
     """A thread to periodically update progress."""
 
@@ -96,6 +115,7 @@ def track(
     pulse_style: StyleType = "bar.pulse",
     update_period: float = 0.1,
     disable: bool = False,
+    show_speed: bool = True,
 ) -> Iterable[ProgressType]:
     """Track progress by iterating over a sequence.
 
@@ -113,6 +133,7 @@ def track(
         pulse_style (StyleType, optional): Style for pulsing bars. Defaults to "bar.pulse".
         update_period (float, optional): Minimum time (in seconds) between calls to update(). Defaults to 0.1.
         disable (bool, optional): Disable display of progress.
+        show_speed (bool, optional): Show speed if total isn't known. Defaults to True.
     Returns:
         Iterable[ProgressType]: An iterable of the values in the sequence.
 
@@ -129,7 +150,7 @@ def track(
                 finished_style=finished_style,
                 pulse_style=pulse_style,
             ),
-            TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
+            TaskProgressColumn(show_speed=show_speed),
             TimeRemainingColumn(),
         )
     )
@@ -149,6 +170,320 @@ def track(
         )
 
 
+class _Reader(RawIOBase, BinaryIO):
+    """A reader that tracks progress while it's being read from."""
+
+    def __init__(
+        self,
+        handle: BinaryIO,
+        progress: "Progress",
+        task: TaskID,
+        close_handle: bool = True,
+    ) -> None:
+        self.handle = handle
+        self.progress = progress
+        self.task = task
+        self.close_handle = close_handle
+        self._closed = False
+
+    def __enter__(self) -> "_Reader":
+        self.handle.__enter__()
+        return self
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[TracebackType],
+    ) -> None:
+        self.close()
+
+    def __iter__(self) -> BinaryIO:
+        return self
+
+    def __next__(self) -> bytes:
+        line = next(self.handle)
+        self.progress.advance(self.task, advance=len(line))
+        return line
+
+    @property
+    def closed(self) -> bool:
+        return self._closed
+
+    def fileno(self) -> int:
+        return self.handle.fileno()
+
+    def isatty(self) -> bool:
+        return self.handle.isatty()
+
+    def readable(self) -> bool:
+        return self.handle.readable()
+
+    def seekable(self) -> bool:
+        return self.handle.seekable()
+
+    def writable(self) -> bool:
+        return False
+
+    def read(self, size: int = -1) -> bytes:
+        block = self.handle.read(size)
+        self.progress.advance(self.task, advance=len(block))
+        return block
+
+    def readinto(self, b: Union[bytearray, memoryview, mmap]):  # type: ignore[no-untyped-def, override]
+        n = self.handle.readinto(b)  # type: ignore[attr-defined]
+        self.progress.advance(self.task, advance=n)
+        return n
+
+    def readline(self, size: int = -1) -> bytes:  # type: ignore[override]
+        line = self.handle.readline(size)
+        self.progress.advance(self.task, advance=len(line))
+        return line
+
+    def readlines(self, hint: int = -1) -> List[bytes]:
+        lines = self.handle.readlines(hint)
+        self.progress.advance(self.task, advance=sum(map(len, lines)))
+        return lines
+
+    def close(self) -> None:
+        if self.close_handle:
+            self.handle.close()
+        self._closed = True
+
+    def seek(self, offset: int, whence: int = 0) -> int:
+        pos = self.handle.seek(offset, whence)
+        self.progress.update(self.task, completed=pos)
+        return pos
+
+    def tell(self) -> int:
+        return self.handle.tell()
+
+    def write(self, s: Any) -> int:
+        raise UnsupportedOperation("write")
+
+
+class _ReadContext(ContextManager[_I], Generic[_I]):
+    """A utility class to handle a context for both a reader and a progress."""
+
+    def __init__(self, progress: "Progress", reader: _I) -> None:
+        self.progress = progress
+        self.reader: _I = reader
+
+    def __enter__(self) -> _I:
+        self.progress.start()
+        return self.reader.__enter__()
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[TracebackType],
+    ) -> None:
+        self.progress.stop()
+        self.reader.__exit__(exc_type, exc_val, exc_tb)
+
+
+def wrap_file(
+    file: BinaryIO,
+    total: int,
+    *,
+    description: str = "Reading...",
+    auto_refresh: bool = True,
+    console: Optional[Console] = None,
+    transient: bool = False,
+    get_time: Optional[Callable[[], float]] = None,
+    refresh_per_second: float = 10,
+    style: StyleType = "bar.back",
+    complete_style: StyleType = "bar.complete",
+    finished_style: StyleType = "bar.finished",
+    pulse_style: StyleType = "bar.pulse",
+    disable: bool = False,
+) -> ContextManager[BinaryIO]:
+    """Read bytes from a file while tracking progress.
+
+    Args:
+        file (Union[str, PathLike[str], BinaryIO]): The path to the file to read, or a file-like object in binary mode.
+        total (int): Total number of bytes to read.
+        description (str, optional): Description of task show next to progress bar. Defaults to "Reading".
+        auto_refresh (bool, optional): Automatic refresh, disable to force a refresh after each iteration. Default is True.
+        transient: (bool, optional): Clear the progress on exit. Defaults to False.
+        console (Console, optional): Console to write to. Default creates internal Console instance.
+        refresh_per_second (float): Number of times per second to refresh the progress information. Defaults to 10.
+        style (StyleType, optional): Style for the bar background. Defaults to "bar.back".
+        complete_style (StyleType, optional): Style for the completed bar. Defaults to "bar.complete".
+        finished_style (StyleType, optional): Style for a finished bar. Defaults to "bar.done".
+        pulse_style (StyleType, optional): Style for pulsing bars. Defaults to "bar.pulse".
+        disable (bool, optional): Disable display of progress.
+    Returns:
+        ContextManager[BinaryIO]: A context manager yielding a progress reader.
+
+    """
+
+    columns: List["ProgressColumn"] = (
+        [TextColumn("[progress.description]{task.description}")] if description else []
+    )
+    columns.extend(
+        (
+            BarColumn(
+                style=style,
+                complete_style=complete_style,
+                finished_style=finished_style,
+                pulse_style=pulse_style,
+            ),
+            DownloadColumn(),
+            TimeRemainingColumn(),
+        )
+    )
+    progress = Progress(
+        *columns,
+        auto_refresh=auto_refresh,
+        console=console,
+        transient=transient,
+        get_time=get_time,
+        refresh_per_second=refresh_per_second or 10,
+        disable=disable,
+    )
+
+    reader = progress.wrap_file(file, total=total, description=description)
+    return _ReadContext(progress, reader)
+
+
+@typing.overload
+def open(
+    file: Union[str, "PathLike[str]", bytes],
+    mode: Union[Literal["rt"], Literal["r"]],
+    buffering: int = -1,
+    encoding: Optional[str] = None,
+    errors: Optional[str] = None,
+    newline: Optional[str] = None,
+    *,
+    total: Optional[int] = None,
+    description: str = "Reading...",
+    auto_refresh: bool = True,
+    console: Optional[Console] = None,
+    transient: bool = False,
+    get_time: Optional[Callable[[], float]] = None,
+    refresh_per_second: float = 10,
+    style: StyleType = "bar.back",
+    complete_style: StyleType = "bar.complete",
+    finished_style: StyleType = "bar.finished",
+    pulse_style: StyleType = "bar.pulse",
+    disable: bool = False,
+) -> ContextManager[TextIO]:
+    pass
+
+
+@typing.overload
+def open(
+    file: Union[str, "PathLike[str]", bytes],
+    mode: Literal["rb"],
+    buffering: int = -1,
+    encoding: Optional[str] = None,
+    errors: Optional[str] = None,
+    newline: Optional[str] = None,
+    *,
+    total: Optional[int] = None,
+    description: str = "Reading...",
+    auto_refresh: bool = True,
+    console: Optional[Console] = None,
+    transient: bool = False,
+    get_time: Optional[Callable[[], float]] = None,
+    refresh_per_second: float = 10,
+    style: StyleType = "bar.back",
+    complete_style: StyleType = "bar.complete",
+    finished_style: StyleType = "bar.finished",
+    pulse_style: StyleType = "bar.pulse",
+    disable: bool = False,
+) -> ContextManager[BinaryIO]:
+    pass
+
+
+def open(
+    file: Union[str, "PathLike[str]", bytes],
+    mode: Union[Literal["rb"], Literal["rt"], Literal["r"]] = "r",
+    buffering: int = -1,
+    encoding: Optional[str] = None,
+    errors: Optional[str] = None,
+    newline: Optional[str] = None,
+    *,
+    total: Optional[int] = None,
+    description: str = "Reading...",
+    auto_refresh: bool = True,
+    console: Optional[Console] = None,
+    transient: bool = False,
+    get_time: Optional[Callable[[], float]] = None,
+    refresh_per_second: float = 10,
+    style: StyleType = "bar.back",
+    complete_style: StyleType = "bar.complete",
+    finished_style: StyleType = "bar.finished",
+    pulse_style: StyleType = "bar.pulse",
+    disable: bool = False,
+) -> Union[ContextManager[BinaryIO], ContextManager[TextIO]]:
+    """Read bytes from a file while tracking progress.
+
+    Args:
+        path (Union[str, PathLike[str], BinaryIO]): The path to the file to read, or a file-like object in binary mode.
+        mode (str): The mode to use to open the file. Only supports "r", "rb" or "rt".
+        buffering (int): The buffering strategy to use, see :func:`io.open`.
+        encoding (str, optional): The encoding to use when reading in text mode, see :func:`io.open`.
+        errors (str, optional): The error handling strategy for decoding errors, see :func:`io.open`.
+        newline (str, optional): The strategy for handling newlines in text mode, see :func:`io.open`
+        total: (int, optional): Total number of bytes to read. Must be provided if reading from a file handle. Default for a path is os.stat(file).st_size.
+        description (str, optional): Description of task show next to progress bar. Defaults to "Reading".
+        auto_refresh (bool, optional): Automatic refresh, disable to force a refresh after each iteration. Default is True.
+        transient: (bool, optional): Clear the progress on exit. Defaults to False.
+        console (Console, optional): Console to write to. Default creates internal Console instance.
+        refresh_per_second (float): Number of times per second to refresh the progress information. Defaults to 10.
+        style (StyleType, optional): Style for the bar background. Defaults to "bar.back".
+        complete_style (StyleType, optional): Style for the completed bar. Defaults to "bar.complete".
+        finished_style (StyleType, optional): Style for a finished bar. Defaults to "bar.done".
+        pulse_style (StyleType, optional): Style for pulsing bars. Defaults to "bar.pulse".
+        disable (bool, optional): Disable display of progress.
+        encoding (str, optional): The encoding to use when reading in text mode.
+
+    Returns:
+        ContextManager[BinaryIO]: A context manager yielding a progress reader.
+
+    """
+
+    columns: List["ProgressColumn"] = (
+        [TextColumn("[progress.description]{task.description}")] if description else []
+    )
+    columns.extend(
+        (
+            BarColumn(
+                style=style,
+                complete_style=complete_style,
+                finished_style=finished_style,
+                pulse_style=pulse_style,
+            ),
+            DownloadColumn(),
+            TimeRemainingColumn(),
+        )
+    )
+    progress = Progress(
+        *columns,
+        auto_refresh=auto_refresh,
+        console=console,
+        transient=transient,
+        get_time=get_time,
+        refresh_per_second=refresh_per_second or 10,
+        disable=disable,
+    )
+
+    reader = progress.open(
+        file,
+        mode=mode,
+        buffering=buffering,
+        encoding=encoding,
+        errors=errors,
+        newline=newline,
+        total=total,
+        description=description,
+    )
+    return _ReadContext(progress, reader)  # type: ignore[return-value, type-var]
+
+
 class ProgressColumn(ABC):
     """Base class for a widget to use in progress display."""
 
@@ -318,7 +653,7 @@ def __init__(
     def render(self, task: "Task") -> ProgressBar:
         """Gets a progress bar widget for a task."""
         return ProgressBar(
-            total=max(0, task.total),
+            total=max(0, task.total) if task.total is not None else None,
             completed=max(0, task.completed),
             width=None if self.bar_width is None else max(1, self.bar_width),
             pulse=not task.started,
@@ -342,19 +677,125 @@ def render(self, task: "Task") -> Text:
         return Text(str(delta), style="progress.elapsed")
 
 
+class TaskProgressColumn(TextColumn):
+    """Show task progress as a percentage.
+
+    Args:
+        text_format (str, optional): Format for percentage display. Defaults to "[progress.percentage]{task.percentage:>3.0f}%".
+        text_format_no_percentage (str, optional): Format if percentage is unknown. Defaults to "".
+        style (StyleType, optional): Style of output. Defaults to "none".
+        justify (JustifyMethod, optional): Text justification. Defaults to "left".
+        markup (bool, optional): Enable markup. Defaults to True.
+        highlighter (Optional[Highlighter], optional): Highlighter to apply to output. Defaults to None.
+        table_column (Optional[Column], optional): Table Column to use. Defaults to None.
+        show_speed (bool, optional): Show speed if total is unknown. Defaults to False.
+    """
+
+    def __init__(
+        self,
+        text_format: str = "[progress.percentage]{task.percentage:>3.0f}%",
+        text_format_no_percentage: str = "",
+        style: StyleType = "none",
+        justify: JustifyMethod = "left",
+        markup: bool = True,
+        highlighter: Optional[Highlighter] = None,
+        table_column: Optional[Column] = None,
+        show_speed: bool = False,
+    ) -> None:
+
+        self.text_format_no_percentage = text_format_no_percentage
+        self.show_speed = show_speed
+        super().__init__(
+            text_format=text_format,
+            style=style,
+            justify=justify,
+            markup=markup,
+            highlighter=highlighter,
+            table_column=table_column,
+        )
+
+    @classmethod
+    def render_speed(cls, speed: Optional[float]) -> Text:
+        """Render the speed in iterations per second.
+
+        Args:
+            task (Task): A Task object.
+
+        Returns:
+            Text: Text object containing the task speed.
+        """
+        if speed is None:
+            return Text("", style="progress.percentage")
+        unit, suffix = filesize.pick_unit_and_suffix(
+            int(speed),
+            ["", "×10³", "×10⁶", "×10⁹", "×10¹²"],
+            1000,
+        )
+        data_speed = speed / unit
+        return Text(f"{data_speed:.1f}{suffix} it/s", style="progress.percentage")
+
+    def render(self, task: "Task") -> Text:
+        if task.total is None and self.show_speed:
+            return self.render_speed(task.finished_speed or task.speed)
+        text_format = (
+            self.text_format_no_percentage if task.total is None else self.text_format
+        )
+        _text = text_format.format(task=task)
+        if self.markup:
+            text = Text.from_markup(_text, style=self.style, justify=self.justify)
+        else:
+            text = Text(_text, style=self.style, justify=self.justify)
+        if self.highlighter:
+            self.highlighter.highlight(text)
+        return text
+
+
 class TimeRemainingColumn(ProgressColumn):
-    """Renders estimated time remaining."""
+    """Renders estimated time remaining.
+
+    Args:
+        compact (bool, optional): Render MM:SS when time remaining is less than an hour. Defaults to False.
+        elapsed_when_finished (bool, optional): Render time elapsed when the task is finished. Defaults to False.
+    """
 
     # Only refresh twice a second to prevent jitter
     max_refresh = 0.5
 
+    def __init__(
+        self,
+        compact: bool = False,
+        elapsed_when_finished: bool = False,
+        table_column: Optional[Column] = None,
+    ):
+        self.compact = compact
+        self.elapsed_when_finished = elapsed_when_finished
+        super().__init__(table_column=table_column)
+
     def render(self, task: "Task") -> Text:
         """Show time remaining."""
-        remaining = task.time_remaining
-        if remaining is None:
-            return Text("-:--:--", style="progress.remaining")
-        remaining_delta = timedelta(seconds=int(remaining))
-        return Text(str(remaining_delta), style="progress.remaining")
+        if self.elapsed_when_finished and task.finished:
+            task_time = task.finished_time
+            style = "progress.elapsed"
+        else:
+            task_time = task.time_remaining
+            style = "progress.remaining"
+
+        if task.total is None:
+            return Text("", style=style)
+
+        if task_time is None:
+            return Text("--:--" if self.compact else "-:--:--", style=style)
+
+        # Based on https://github.com/tqdm/tqdm/blob/master/tqdm/std.py
+        minutes, seconds = divmod(int(task_time), 60)
+        hours, minutes = divmod(minutes, 60)
+
+        if self.compact and not hours:
+            formatted = f"{minutes:02d}:{seconds:02d}"
+        else:
+            formatted = f"{hours:d}:{minutes:02d}:{seconds:02d}"
+
+        return Text(formatted, style=style)
 
 
 class FileSizeColumn(ProgressColumn):
@@ -371,10 +812,37 @@ class TotalFileSizeColumn(ProgressColumn):
 
     def render(self, task: "Task") -> Text:
         """Show data completed."""
-        data_size = filesize.decimal(int(task.total))
+        data_size = filesize.decimal(int(task.total)) if task.total is not None else ""
         return Text(data_size, style="progress.filesize.total")
 
 
+class MofNCompleteColumn(ProgressColumn):
+    """Renders completed count/total, e.g. '  10/1000'.
+
+    Best for bounded tasks with int quantities.
+
+    Space pads the completed count so that progress length does not change as task progresses
+    past powers of 10.
+
+    Args:
+        separator (str, optional): Text to separate completed and total values. Defaults to "/".
+    """
+
+    def __init__(self, separator: str = "/", table_column: Optional[Column] = None):
+        self.separator = separator
+        super().__init__(table_column=table_column)
+
+    def render(self, task: "Task") -> Text:
+        """Show completed/total."""
+        completed = int(task.completed)
+        total = int(task.total) if task.total is not None else "?"
+        total_width = len(str(total))
+        return Text(
+            f"{completed:{total_width}d}{self.separator}{total}",
+            style="progress.download",
+        )
+
+
 class DownloadColumn(ProgressColumn):
     """Renders file size downloaded and total, e.g. '0.5/2.3 GB'.
 
@@ -391,22 +859,34 @@ def __init__(
     def render(self, task: "Task") -> Text:
         """Calculate common unit for completed and total."""
         completed = int(task.completed)
-        total = int(task.total)
+
+        unit_and_suffix_calculation_base = (
+            int(task.total) if task.total is not None else completed
+        )
         if self.binary_units:
             unit, suffix = filesize.pick_unit_and_suffix(
-                total,
+                unit_and_suffix_calculation_base,
                 ["bytes", "KiB", "MiB", "GiB", "TiB", "PiB", "EiB", "ZiB", "YiB"],
                 1024,
             )
         else:
             unit, suffix = filesize.pick_unit_and_suffix(
-                total, ["bytes", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB"], 1000
+                unit_and_suffix_calculation_base,
+                ["bytes", "kB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB"],
+                1000,
             )
-        completed_ratio = completed / unit
-        total_ratio = total / unit
         precision = 0 if unit == 1 else 1
+
+        completed_ratio = completed / unit
         completed_str = f"{completed_ratio:,.{precision}f}"
-        total_str = f"{total_ratio:,.{precision}f}"
+
+        if task.total is not None:
+            total = int(task.total)
+            total_ratio = total / unit
+            total_str = f"{total_ratio:,.{precision}f}"
+        else:
+            total_str = "?"
+
         download_status = f"{completed_str}/{total_str} {suffix}"
         download_text = Text(download_status, style="progress.download")
         return download_text
@@ -447,8 +927,8 @@ class Task:
     description: str
     """str: Description of the task."""
 
-    total: float
-    """str: Total number of steps in this task."""
+    total: Optional[float]
+    """Optional[float]: Total number of steps in this task."""
 
     completed: float
     """float: Number of steps completed"""
@@ -491,8 +971,10 @@ def started(self) -> bool:
         return self.start_time is not None
 
     @property
-    def remaining(self) -> float:
-        """float: Get the number of steps remaining."""
+    def remaining(self) -> Optional[float]:
+        """Optional[float]: Get the number of steps remaining, if a non-None total was set."""
+        if self.total is None:
+            return None
         return self.total - self.completed
 
     @property
@@ -511,7 +993,7 @@ def finished(self) -> bool:
 
     @property
     def percentage(self) -> float:
-        """float: Get progress of task as a percentage."""
+        """float: Get progress of task as a percentage. If a None total was set, returns 0"""
         if not self.total:
             return 0.0
         completed = (self.completed / self.total) * 100.0
@@ -544,7 +1026,10 @@ def time_remaining(self) -> Optional[float]:
         speed = self.speed
         if not speed:
             return None
-        estimate = ceil(self.remaining / speed)
+        remaining = self.remaining
+        if remaining is None:
+            return None
+        estimate = ceil(remaining / speed)
         return estimate
 
     def _reset(self) -> None:
@@ -584,9 +1069,7 @@ def __init__(
         disable: bool = False,
         expand: bool = False,
     ) -> None:
-        assert (
-            refresh_per_second is None or refresh_per_second > 0
-        ), "refresh_per_second must be > 0"
+        assert refresh_per_second > 0, "refresh_per_second must be > 0"
         self._lock = RLock()
         self.columns = columns or self.get_default_columns()
         self.speed_estimate_period = speed_estimate_period
@@ -635,7 +1118,7 @@ def get_default_columns(cls) -> Tuple[ProgressColumn, ...]:
         return (
             TextColumn("[progress.description]{task.description}"),
             BarColumn(),
-            TextColumn("[progress.percentage]{task.percentage:>3.0f}%"),
+            TaskProgressColumn(),
             TimeRemainingColumn(),
         )
 
@@ -707,13 +1190,10 @@ def track(
             Iterable[ProgressType]: An iterable of values taken from the provided sequence.
         """
 
+        task_total: Optional[float] = None
         if total is None:
             if isinstance(sequence, Sized):
                 task_total = float(len(sequence))
-            else:
-                raise ValueError(
-                    f"unable to get size of {sequence!r}, please specify 'total'"
-                )
         else:
             task_total = total
 
@@ -735,6 +1215,157 @@ def track(
                 advance(task_id, 1)
                 refresh()
 
+    def wrap_file(
+        self,
+        file: BinaryIO,
+        total: Optional[int] = None,
+        *,
+        task_id: Optional[TaskID] = None,
+        description: str = "Reading...",
+    ) -> BinaryIO:
+        """Track progress file reading from a binary file.
+
+        Args:
+            file (BinaryIO): A file-like object opened in binary mode.
+            total (int, optional): Total number of bytes to read. This must be provided unless a task with a total is also given.
+            task_id (TaskID): Task to track. Default is new task.
+            description (str, optional): Description of task, if new task is created.
+
+        Returns:
+            BinaryIO: A readable file-like object in binary mode.
+
+        Raises:
+            ValueError: When no total value can be extracted from the arguments or the task.
+        """
+        # attempt to recover the total from the task
+        total_bytes: Optional[float] = None
+        if total is not None:
+            total_bytes = total
+        elif task_id is not None:
+            with self._lock:
+                total_bytes = self._tasks[task_id].total
+        if total_bytes is None:
+            raise ValueError(
+                f"unable to get the total number of bytes, please specify 'total'"
+            )
+
+        # update total of task or create new task
+        if task_id is None:
+            task_id = self.add_task(description, total=total_bytes)
+        else:
+            self.update(task_id, total=total_bytes)
+
+        return _Reader(file, self, task_id, close_handle=False)
+
+    @typing.overload
+    def open(
+        self,
+        file: Union[str, "PathLike[str]", bytes],
+        mode: Literal["rb"],
+        buffering: int = -1,
+        encoding: Optional[str] = None,
+        errors: Optional[str] = None,
+        newline: Optional[str] = None,
+        *,
+        total: Optional[int] = None,
+        task_id: Optional[TaskID] = None,
+        description: str = "Reading...",
+    ) -> BinaryIO:
+        pass
+
+    @typing.overload
+    def open(
+        self,
+        file: Union[str, "PathLike[str]", bytes],
+        mode: Union[Literal["r"], Literal["rt"]],
+        buffering: int = -1,
+        encoding: Optional[str] = None,
+        errors: Optional[str] = None,
+        newline: Optional[str] = None,
+        *,
+        total: Optional[int] = None,
+        task_id: Optional[TaskID] = None,
+        description: str = "Reading...",
+    ) -> TextIO:
+        pass
+
+    def open(
+        self,
+        file: Union[str, "PathLike[str]", bytes],
+        mode: Union[Literal["rb"], Literal["rt"], Literal["r"]] = "r",
+        buffering: int = -1,
+        encoding: Optional[str] = None,
+        errors: Optional[str] = None,
+        newline: Optional[str] = None,
+        *,
+        total: Optional[int] = None,
+        task_id: Optional[TaskID] = None,
+        description: str = "Reading...",
+    ) -> Union[BinaryIO, TextIO]:
+        """Track progress while reading from a binary file.
+
+        Args:
+            path (Union[str, PathLike[str]]): The path to the file to read.
+            mode (str): The mode to use to open the file. Only supports "r", "rb" or "rt".
+            buffering (int): The buffering strategy to use, see :func:`io.open`.
+            encoding (str, optional): The encoding to use when reading in text mode, see :func:`io.open`.
+            errors (str, optional): The error handling strategy for decoding errors, see :func:`io.open`.
+            newline (str, optional): The strategy for handling newlines in text mode, see :func:`io.open`.
+            total (int, optional): Total number of bytes to read. If none given, os.stat(path).st_size is used.
+            task_id (TaskID): Task to track. Default is new task.
+            description (str, optional): Description of task, if new task is created.
+
+        Returns:
+            BinaryIO: A readable file-like object in binary mode.
+
+        Raises:
+            ValueError: When an invalid mode is given.
+        """
+        # normalize the mode (always rb, rt)
+        _mode = "".join(sorted(mode, reverse=False))
+        if _mode not in ("br", "rt", "r"):
+            raise ValueError("invalid mode {!r}".format(mode))
+
+        # patch buffering to provide the same behaviour as the builtin `open`
+        line_buffering = buffering == 1
+        if _mode == "br" and buffering == 1:
+            warnings.warn(
+                "line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used",
+                RuntimeWarning,
+            )
+            buffering = -1
+        elif _mode == "rt" or _mode == "r":
+            if buffering == 0:
+                raise ValueError("can't have unbuffered text I/O")
+            elif buffering == 1:
+                buffering = -1
+
+        # attempt to get the total with `os.stat`
+        if total is None:
+            total = stat(file).st_size
+
+        # update total of task or create new task
+        if task_id is None:
+            task_id = self.add_task(description, total=total)
+        else:
+            self.update(task_id, total=total)
+
+        # open the file in binary mode,
+        handle = io.open(file, "rb", buffering=buffering)
+        reader = _Reader(handle, self, task_id, close_handle=True)
+
+        # wrap the reader in a `TextIOWrapper` if text mode
+        if mode == "r" or mode == "rt":
+            return io.TextIOWrapper(
+                reader,
+                encoding=encoding,
+                errors=errors,
+                newline=newline,
+                line_buffering=line_buffering,
+            )
+
+        return reader
+
     def start_task(self, task_id: TaskID) -> None:
         """Start a task.
 
@@ -815,7 +1446,11 @@ def update(
                 popleft()
             if update_completed > 0:
                 _progress.append(ProgressSample(current_time, update_completed))
-            if task.completed >= task.total and task.finished_time is None:
+            if (
+                task.total is not None
+                and task.completed >= task.total
+                and task.finished_time is None
+            ):
                 task.finished_time = task.elapsed
 
         if refresh:
@@ -880,7 +1515,11 @@ def advance(self, task_id: TaskID, advance: float = 1) -> None:
             while len(_progress) > 1000:
                 popleft()
             _progress.append(ProgressSample(current_time, update_completed))
-            if task.completed >= task.total and task.finished_time is None:
+            if (
+                task.total is not None
+                and task.completed >= task.total
+                and task.finished_time is None
+            ):
                 task.finished_time = task.elapsed
                 task.finished_speed = task.speed
 
@@ -941,7 +1580,7 @@ def add_task(
         self,
         description: str,
         start: bool = True,
-        total: float = 100.0,
+        total: Optional[float] = 100.0,
         completed: int = 0,
         visible: bool = True,
         **fields: Any,
@@ -952,7 +1591,8 @@ def add_task(
             description (str): A description of the task.
             start (bool, optional): Start the task immediately (to calculate elapsed time). If set to False,
                 you will need to call `start` manually. Defaults to True.
-            total (float, optional): Number of total steps in the progress if know. Defaults to 100.
+            total (float, optional): Number of total steps in the progress if known.
+                Set to None to render a pulsing animation. Defaults to 100.
             completed (int, optional): Number of steps completed so far.. Defaults to 0.
             visible (bool, optional): Enable display of the task. Defaults to True.
             **fields (str): Additional data fields required for rendering.
@@ -1042,12 +1682,12 @@ def remove_task(self, task_id: TaskID) -> None:
         *Progress.get_default_columns(),
         TimeElapsedColumn(),
         console=console,
-        transient=True,
+        transient=False,
     ) as progress:
 
         task1 = progress.add_task("[red]Downloading", total=1000)
         task2 = progress.add_task("[green]Processing", total=1000)
-        task3 = progress.add_task("[yellow]Thinking", total=1000, start=False)
+        task3 = progress.add_task("[yellow]Thinking", total=None)
 
         while not progress.finished:
             progress.update(task1, advance=0.5)
diff --git a/rich/progress_bar.py b/rich/progress_bar.py
index 1797b5f786..9c3a4f25a2 100644
--- a/rich/progress_bar.py
+++ b/rich/progress_bar.py
@@ -19,10 +19,10 @@ class ProgressBar(JupyterMixin):
     """Renders a (progress) bar. Used by rich.progress.
 
     Args:
-        total (float, optional): Number of steps in the bar. Defaults to 100.
+        total (float, optional): Number of steps in the bar. Defaults to 100. Set to None to render a pulsing animation.
         completed (float, optional): Number of steps completed. Defaults to 0.
         width (int, optional): Width of the bar, or ``None`` for maximum width. Defaults to None.
-        pulse (bool, optional): Enable pulse effect. Defaults to False.
+        pulse (bool, optional): Enable pulse effect. Defaults to False. Will pulse if a None total was passed.
         style (StyleType, optional): Style for the bar background. Defaults to "bar.back".
         complete_style (StyleType, optional): Style for the completed bar. Defaults to "bar.complete".
         finished_style (StyleType, optional): Style for a finished bar. Defaults to "bar.done".
@@ -32,7 +32,7 @@ class ProgressBar(JupyterMixin):
 
     def __init__(
         self,
-        total: float = 100.0,
+        total: Optional[float] = 100.0,
         completed: float = 0,
         width: Optional[int] = None,
         pulse: bool = False,
@@ -58,8 +58,10 @@ def __repr__(self) -> str:
         return f""
 
     @property
-    def percentage_completed(self) -> float:
+    def percentage_completed(self) -> Optional[float]:
         """Calculate percentage complete."""
+        if self.total is None:
+            return None
         completed = (self.completed / self.total) * 100.0
         completed = min(100, max(0.0, completed))
         return completed
@@ -157,23 +159,29 @@ def __rich_console__(
 
         width = min(self.width or options.max_width, options.max_width)
         ascii = options.legacy_windows or options.ascii_only
-        if self.pulse:
+        should_pulse = self.pulse or self.total is None
+        if should_pulse:
             yield from self._render_pulse(console, width, ascii=ascii)
             return
 
-        completed = min(self.total, max(0, self.completed))
+        completed: Optional[float] = (
+            min(self.total, max(0, self.completed)) if self.total is not None else None
+        )
 
         bar = "-" if ascii else "━"
         half_bar_right = " " if ascii else "╸"
         half_bar_left = " " if ascii else "╺"
         complete_halves = (
-            int(width * 2 * completed / self.total) if self.total else width * 2
+            int(width * 2 * completed / self.total)
+            if self.total and completed is not None
+            else width * 2
         )
         bar_count = complete_halves // 2
         half_bar_count = complete_halves % 2
         style = console.get_style(self.style)
+        is_finished = self.total is None or self.completed >= self.total
         complete_style = console.get_style(
-            self.complete_style if self.completed < self.total else self.finished_style
+            self.finished_style if is_finished else self.complete_style
         )
         _Segment = Segment
         if bar_count:
diff --git a/rich/prompt.py b/rich/prompt.py
index c56071887a..064c959b10 100644
--- a/rich/prompt.py
+++ b/rich/prompt.py
@@ -228,14 +228,14 @@ def process_response(self, value: str) -> PromptType:
         """
         value = value.strip()
         try:
-            return_value = self.response_type(value)
+            return_value: PromptType = self.response_type(value)
         except ValueError:
             raise InvalidResponse(self.validate_error_message)
 
         if self.choices is not None and not self.check_choice(value):
             raise InvalidResponse(self.illegal_choice_message)
 
-        return return_value  # type: ignore
+        return return_value
 
     def on_validate_error(self, value: str, error: InvalidResponse) -> None:
         """Called to handle validation error.
diff --git a/rich/protocol.py b/rich/protocol.py
index ff69cc8b04..c6923dd7d8 100644
--- a/rich/protocol.py
+++ b/rich/protocol.py
@@ -1,4 +1,4 @@
-from typing import Any, Callable, cast, Set, TYPE_CHECKING
+from typing import Any, cast, Set, TYPE_CHECKING
 from inspect import isclass
 
 if TYPE_CHECKING:
diff --git a/rich/repr.py b/rich/repr.py
index 5fd2f43609..8bdfdae2aa 100644
--- a/rich/repr.py
+++ b/rich/repr.py
@@ -1,5 +1,6 @@
 from functools import partial
 import inspect
+import sys
 
 from typing import (
     Any,
@@ -27,28 +28,28 @@ class ReprError(Exception):
 
 
 @overload
-def auto(cls: Optional[T]) -> T:
+def auto(cls: Optional[Type[T]]) -> Type[T]:
     ...
 
 
 @overload
-def auto(*, angular: bool = False) -> Callable[[T], T]:
+def auto(*, angular: bool = False) -> Callable[[Type[T]], Type[T]]:
     ...
 
 
 def auto(
-    cls: Optional[T] = None, *, angular: Optional[bool] = None
-) -> Union[T, Callable[[T], T]]:
+    cls: Optional[Type[T]] = None, *, angular: Optional[bool] = None
+) -> Union[Type[T], Callable[[Type[T]], Type[T]]]:
     """Class decorator to create __repr__ from __rich_repr__"""
 
     def do_replace(cls: Type[T], angular: Optional[bool] = None) -> Type[T]:
-        def auto_repr(self: Type[T]) -> str:
+        def auto_repr(self: T) -> str:
             """Create repr string from __rich_repr__"""
             repr_str: List[str] = []
             append = repr_str.append
 
-            angular = getattr(self.__rich_repr__, "angular", False)  # type: ignore
-            for arg in self.__rich_repr__():  # type: ignore
+            angular: bool = getattr(self.__rich_repr__, "angular", False)  # type: ignore[attr-defined]
+            for arg in self.__rich_repr__():  # type: ignore[attr-defined]
                 if isinstance(arg, tuple):
                     if len(arg) == 1:
                         append(repr(arg[0]))
@@ -70,7 +71,7 @@ def auto_repr(self: Type[T]) -> str:
         def auto_rich_repr(self: Type[T]) -> Result:
             """Auto generate __rich_rep__ from signature of __init__"""
             try:
-                signature = inspect.signature(self.__init__)  ## type: ignore
+                signature = inspect.signature(self.__init__)
                 for name, param in signature.parameters.items():
                     if param.kind == param.POSITIONAL_ONLY:
                         yield getattr(self, name)
@@ -89,33 +90,33 @@ def auto_rich_repr(self: Type[T]) -> Result:
 
         if not hasattr(cls, "__rich_repr__"):
             auto_rich_repr.__doc__ = "Build a rich repr"
-            cls.__rich_repr__ = auto_rich_repr  # type: ignore
+            cls.__rich_repr__ = auto_rich_repr  # type: ignore[attr-defined]
 
         auto_repr.__doc__ = "Return repr(self)"
-        cls.__repr__ = auto_repr  # type: ignore
+        cls.__repr__ = auto_repr  # type: ignore[assignment]
         if angular is not None:
-            cls.__rich_repr__.angular = angular  # type: ignore
+            cls.__rich_repr__.angular = angular  # type: ignore[attr-defined]
         return cls
 
     if cls is None:
-        return partial(do_replace, angular=angular)  # type: ignore
+        return partial(do_replace, angular=angular)
     else:
-        return do_replace(cls, angular=angular)  # type: ignore
+        return do_replace(cls, angular=angular)
 
 
 @overload
-def rich_repr(cls: Optional[T]) -> T:
+def rich_repr(cls: Optional[Type[T]]) -> Type[T]:
     ...
 
 
 @overload
-def rich_repr(*, angular: bool = False) -> Callable[[T], T]:
+def rich_repr(*, angular: bool = False) -> Callable[[Type[T]], Type[T]]:
     ...
 
 
 def rich_repr(
-    cls: Optional[T] = None, *, angular: bool = False
-) -> Union[T, Callable[[T], T]]:
+    cls: Optional[Type[T]] = None, *, angular: bool = False
+) -> Union[Type[T], Callable[[Type[T]], Type[T]]]:
     if cls is None:
         return auto(angular=angular)
     else:
@@ -143,7 +144,7 @@ def __rich_repr__(self) -> Result:
     console.print(foo, width=30)
 
     console.rule("Angular repr")
-    Foo.__rich_repr__.angular = True  # type: ignore
+    Foo.__rich_repr__.angular = True  # type: ignore[attr-defined]
 
     console.print(foo)
 
diff --git a/rich/segment.py b/rich/segment.py
index 97679cefc0..d825cfca4f 100644
--- a/rich/segment.py
+++ b/rich/segment.py
@@ -49,10 +49,13 @@ class ControlType(IntEnum):
     CURSOR_MOVE_TO_COLUMN = 13
     CURSOR_MOVE_TO = 14
     ERASE_IN_LINE = 15
+    SET_WINDOW_TITLE = 16
 
 
 ControlCode = Union[
-    Tuple[ControlType], Tuple[ControlType, int], Tuple[ControlType, int, int]
+    Tuple[ControlType],
+    Tuple[ControlType, Union[int, str]],
+    Tuple[ControlType, int, int],
 ]
 
 
@@ -64,15 +67,25 @@ class Segment(NamedTuple):
     Args:
         text (str): A piece of text.
         style (:class:`~rich.style.Style`, optional): An optional style to apply to the text.
-        control (Tuple[ControlCode..], optional): Optional sequence of control codes.
+        control (Tuple[ControlCode], optional): Optional sequence of control codes.
+
+    Attributes:
+        cell_length (int): The cell length of this Segment.
     """
 
-    text: str = ""
-    """Raw text."""
+    text: str
     style: Optional[Style] = None
-    """An optional style."""
     control: Optional[Sequence[ControlCode]] = None
-    """Optional sequence of control codes."""
+
+    @property
+    def cell_length(self) -> int:
+        """The number of terminal cells required to display self.text.
+
+        Returns:
+            int: A number of cells.
+        """
+        text, _style, control = self
+        return 0 if control else cell_len(text)
 
     def __rich_repr__(self) -> Result:
         yield self.text
@@ -87,11 +100,6 @@ def __bool__(self) -> bool:
         """Check if the segment contains text."""
         return bool(self.text)
 
-    @property
-    def cell_length(self) -> int:
-        """Get cell length of segment."""
-        return 0 if self.control else cell_len(self.text)
-
     @property
     def is_control(self) -> bool:
         """Check if the segment contains control codes."""
@@ -99,7 +107,7 @@ def is_control(self) -> bool:
 
     @classmethod
     @lru_cache(1024 * 16)
-    def _split_cells(cls, segment: "Segment", cut: int) -> Tuple["Segment", "Segment"]:  # type: ignore
+    def _split_cells(cls, segment: "Segment", cut: int) -> Tuple["Segment", "Segment"]:
 
         text, style, control = segment
         _Segment = Segment
@@ -135,6 +143,8 @@ def _split_cells(cls, segment: "Segment", cut: int) -> Tuple["Segment", "Segment
                     _Segment(" " + text[pos:], style, control),
                 )
 
+        raise AssertionError("Will never reach here")
+
     def split_cells(self, cut: int) -> Tuple["Segment", "Segment"]:
         """Split segment in to two segments at the specified column.
 
@@ -601,9 +611,14 @@ def divide(
             yield []
         pos = 0
 
+        _cell_len = cell_len
         for segment in segments:
-            while segment.text:
-                end_pos = pos + segment.cell_length
+            text, _style, control = segment
+            while text:
+                if control:
+                    end_pos = pos
+                else:
+                    end_pos = pos + _cell_len(text)
                 if end_pos < cut:
                     add_segment(segment)
                     pos = end_pos
@@ -618,6 +633,7 @@ def divide(
                         break
                     else:
                         before, segment = segment.split_cells(cut - pos)
+                        text, _style, control = segment
                         add_segment(before)
                         yield split_segments[:]
                         del split_segments[:]
@@ -682,39 +698,35 @@ def __rich_console__(
                 yield from line
 
 
-if __name__ == "__main__":
+if __name__ == "__main__":  # pragma: no cover
+    from rich.console import Console
+    from rich.syntax import Syntax
+    from rich.text import Text
 
-    if __name__ == "__main__":  # pragma: no cover
-        from rich.console import Console
-        from rich.syntax import Syntax
-        from rich.text import Text
+    code = """from rich.console import Console
+console = Console()
+text = Text.from_markup("Hello, [bold magenta]World[/]!")
+console.print(text)"""
 
-        code = """from rich.console import Console
-    console = Console()
     text = Text.from_markup("Hello, [bold magenta]World[/]!")
-    console.print(text)"""
-
-        text = Text.from_markup("Hello, [bold magenta]World[/]!")
 
-        console = Console()
+    console = Console()
 
-        console.rule("rich.Segment")
-        console.print(
-            "A Segment is the last step in the Rich render process before generating text with ANSI codes."
-        )
-        console.print("\nConsider the following code:\n")
-        console.print(Syntax(code, "python", line_numbers=True))
-        console.print()
-        console.print(
-            "When you call [b]print()[/b], Rich [i]renders[/i] the object in to the the following:\n"
-        )
-        fragments = list(console.render(text))
-        console.print(fragments)
-        console.print()
-        console.print(
-            "The Segments are then processed to produce the following output:\n"
-        )
-        console.print(text)
-        console.print(
-            "\nYou will only need to know this if you are implementing your own Rich renderables."
-        )
+    console.rule("rich.Segment")
+    console.print(
+        "A Segment is the last step in the Rich render process before generating text with ANSI codes."
+    )
+    console.print("\nConsider the following code:\n")
+    console.print(Syntax(code, "python", line_numbers=True))
+    console.print()
+    console.print(
+        "When you call [b]print()[/b], Rich [i]renders[/i] the object in to the the following:\n"
+    )
+    fragments = list(console.render(text))
+    console.print(fragments)
+    console.print()
+    console.print("The Segments are then processed to produce the following output:\n")
+    console.print(text)
+    console.print(
+        "\nYou will only need to know this if you are implementing your own Rich renderables."
+    )
diff --git a/rich/spinner.py b/rich/spinner.py
index 5b13b1e9ba..0879088e14 100644
--- a/rich/spinner.py
+++ b/rich/spinner.py
@@ -1,4 +1,4 @@
-from typing import cast, List, Optional, TYPE_CHECKING
+from typing import cast, List, Optional, TYPE_CHECKING, Union
 
 from ._spinners import SPINNERS
 from .measure import Measurement
@@ -34,7 +34,9 @@ def __init__(
             spinner = SPINNERS[name]
         except KeyError:
             raise KeyError(f"no spinner called {name!r}")
-        self.text = Text.from_markup(text) if isinstance(text, str) else text
+        self.text: "Union[RenderableType, Text]" = (
+            Text.from_markup(text) if isinstance(text, str) else text
+        )
         self.frames = cast(List[str], spinner["frames"])[:]
         self.interval = cast(float, spinner["interval"])
         self.start_time: Optional[float] = None
diff --git a/rich/style.py b/rich/style.py
index 0787c33147..bccbf23437 100644
--- a/rich/style.py
+++ b/rich/style.py
@@ -740,7 +740,7 @@ def __add__(self, style: Optional["Style"]) -> "Style":
         new_style._link = style._link or self._link
         new_style._link_id = style._link_id or self._link_id
         new_style._hash = style._hash
-        new_style._null = self._null or style._null
+        new_style._null = style._null
         if self._meta and style._meta:
             new_style._meta = dumps({**self.meta, **style.meta})
         else:
diff --git a/rich/syntax.py b/rich/syntax.py
index 142f48f46a..6a337e4070 100644
--- a/rich/syntax.py
+++ b/rich/syntax.py
@@ -735,7 +735,7 @@ def __rich_console__(
     parser.add_argument(
         "-x",
         "--lexer",
-        default="default",
+        default=None,
         dest="lexer_name",
         help="Lexer name",
     )
diff --git a/rich/table.py b/rich/table.py
index 0271d5fc66..15a0c0e07f 100644
--- a/rich/table.py
+++ b/rich/table.py
@@ -37,7 +37,35 @@
 
 @dataclass
 class Column:
-    """Defines a column in a table."""
+    """Defines a column within a ~Table.
+
+    Args:
+        title (Union[str, Text], optional): The title of the table rendered at the top. Defaults to None.
+        caption (Union[str, Text], optional): The table caption rendered below. Defaults to None.
+        width (int, optional): The width in characters of the table, or ``None`` to automatically fit. Defaults to None.
+        min_width (Optional[int], optional): The minimum width of the table, or ``None`` for no minimum. Defaults to None.
+        box (box.Box, optional): One of the constants in box.py used to draw the edges (see :ref:`appendix_box`), or ``None`` for no box lines. Defaults to box.HEAVY_HEAD.
+        safe_box (Optional[bool], optional): Disable box characters that don't display on windows legacy terminal with *raster* fonts. Defaults to True.
+        padding (PaddingDimensions, optional): Padding for cells (top, right, bottom, left). Defaults to (0, 1).
+        collapse_padding (bool, optional): Enable collapsing of padding around cells. Defaults to False.
+        pad_edge (bool, optional): Enable padding of edge cells. Defaults to True.
+        expand (bool, optional): Expand the table to fit the available space if ``True``, otherwise the table width will be auto-calculated. Defaults to False.
+        show_header (bool, optional): Show a header row. Defaults to True.
+        show_footer (bool, optional): Show a footer row. Defaults to False.
+        show_edge (bool, optional): Draw a box around the outside of the table. Defaults to True.
+        show_lines (bool, optional): Draw lines between every row. Defaults to False.
+        leading (bool, optional): Number of blank lines between rows (precludes ``show_lines``). Defaults to 0.
+        style (Union[str, Style], optional): Default style for the table. Defaults to "none".
+        row_styles (List[Union, str], optional): Optional list of row styles, if more than one style is given then the styles will alternate. Defaults to None.
+        header_style (Union[str, Style], optional): Style of the header. Defaults to "table.header".
+        footer_style (Union[str, Style], optional): Style of the footer. Defaults to "table.footer".
+        border_style (Union[str, Style], optional): Style of the border. Defaults to None.
+        title_style (Union[str, Style], optional): Style of the title. Defaults to None.
+        caption_style (Union[str, Style], optional): Style of the caption. Defaults to None.
+        title_justify (str, optional): Justify method for title. Defaults to "center".
+        caption_justify (str, optional): Justify method for caption. Defaults to "center".
+        highlight (bool, optional): Highlight cell contents (if str). Defaults to False.
+    """
 
     header: "RenderableType" = ""
     """RenderableType: Renderable for the header (typically a string)"""
diff --git a/rich/tabulate.py b/rich/tabulate.py
deleted file mode 100644
index ca4fe293a6..0000000000
--- a/rich/tabulate.py
+++ /dev/null
@@ -1,51 +0,0 @@
-from collections.abc import Mapping
-from typing import Any, Optional
-import warnings
-
-from rich.console import JustifyMethod
-
-from . import box
-from .highlighter import ReprHighlighter
-from .pretty import Pretty
-from .table import Table
-
-
-def tabulate_mapping(
-    mapping: "Mapping[Any, Any]",
-    title: Optional[str] = None,
-    caption: Optional[str] = None,
-    title_justify: Optional[JustifyMethod] = None,
-    caption_justify: Optional[JustifyMethod] = None,
-) -> Table:
-    """Generate a simple table from a mapping.
-
-    Args:
-        mapping (Mapping): A mapping object (e.g. a dict);
-        title (str, optional): Optional title to be displayed over the table.
-        caption (str, optional): Optional caption to be displayed below the table.
-        title_justify (str, optional): Justify method for title. Defaults to None.
-        caption_justify (str, optional): Justify method for caption. Defaults to None.
-
-    Returns:
-        Table: A table instance which may be rendered by the Console.
-    """
-    warnings.warn("tabulate_mapping will be deprecated in Rich v11", DeprecationWarning)
-    table = Table(
-        show_header=False,
-        title=title,
-        caption=caption,
-        box=box.ROUNDED,
-        border_style="blue",
-    )
-    table.title = title
-    table.caption = caption
-    if title_justify is not None:
-        table.title_justify = title_justify
-    if caption_justify is not None:
-        table.caption_justify = caption_justify
-    highlighter = ReprHighlighter()
-    for key, value in mapping.items():
-        table.add_row(
-            Pretty(key, highlighter=highlighter), Pretty(value, highlighter=highlighter)
-        )
-    return table
diff --git a/rich/terminal_theme.py b/rich/terminal_theme.py
index 801ac0b7b8..ace8e93def 100644
--- a/rich/terminal_theme.py
+++ b/rich/terminal_theme.py
@@ -53,3 +53,101 @@ def __init__(
         (255, 255, 255),
     ],
 )
+
+SVG_EXPORT_THEME = TerminalTheme(
+    (12, 12, 12),
+    (242, 242, 242),
+    [
+        (12, 12, 12),
+        (205, 49, 49),
+        (13, 188, 121),
+        (229, 229, 16),
+        (36, 114, 200),
+        (188, 63, 188),
+        (17, 168, 205),
+        (229, 229, 229),
+    ],
+    [
+        (102, 102, 102),
+        (241, 76, 76),
+        (35, 209, 139),
+        (245, 245, 67),
+        (59, 142, 234),
+        (214, 112, 214),
+        (41, 184, 219),
+        (229, 229, 229),
+    ],
+)
+
+MONOKAI = TerminalTheme(
+    (12, 12, 12),
+    (217, 217, 217),
+    [
+        (26, 26, 26),
+        (244, 0, 95),
+        (152, 224, 36),
+        (253, 151, 31),
+        (157, 101, 255),
+        (244, 0, 95),
+        (88, 209, 235),
+        (196, 197, 181),
+        (98, 94, 76),
+    ],
+    [
+        (244, 0, 95),
+        (152, 224, 36),
+        (224, 213, 97),
+        (157, 101, 255),
+        (244, 0, 95),
+        (88, 209, 235),
+        (246, 246, 239),
+    ],
+)
+DIMMED_MONOKAI = TerminalTheme(
+    (25, 25, 25),
+    (185, 188, 186),
+    [
+        (58, 61, 67),
+        (190, 63, 72),
+        (135, 154, 59),
+        (197, 166, 53),
+        (79, 118, 161),
+        (133, 92, 141),
+        (87, 143, 164),
+        (185, 188, 186),
+        (136, 137, 135),
+    ],
+    [
+        (251, 0, 31),
+        (15, 114, 47),
+        (196, 112, 51),
+        (24, 109, 227),
+        (251, 0, 103),
+        (46, 112, 109),
+        (253, 255, 185),
+    ],
+)
+NIGHT_OWLISH = TerminalTheme(
+    (255, 255, 255),
+    (64, 63, 83),
+    [
+        (1, 22, 39),
+        (211, 66, 62),
+        (42, 162, 152),
+        (218, 170, 1),
+        (72, 118, 214),
+        (64, 63, 83),
+        (8, 145, 106),
+        (122, 129, 129),
+        (122, 129, 129),
+    ],
+    [
+        (247, 110, 110),
+        (73, 208, 197),
+        (218, 194, 107),
+        (92, 167, 228),
+        (105, 112, 152),
+        (0, 201, 144),
+        (152, 159, 177),
+    ],
+)
diff --git a/rich/text.py b/rich/text.py
index d9ac2c0d6d..f6b349d6a2 100644
--- a/rich/text.py
+++ b/rich/text.py
@@ -253,6 +253,7 @@ def from_markup(
         emoji_variant: Optional[EmojiVariant] = None,
         justify: Optional["JustifyMethod"] = None,
         overflow: Optional["OverflowMethod"] = None,
+        end: str = "\n",
     ) -> "Text":
         """Create Text instance from markup.
 
@@ -261,6 +262,7 @@ def from_markup(
             emoji (bool, optional): Also render emoji code. Defaults to True.
             justify (str, optional): Justify method: "left", "center", "full", "right". Defaults to None.
             overflow (str, optional): Overflow method: "crop", "fold", "ellipsis". Defaults to None.
+            end (str, optional): Character to end text with. Defaults to "\\\\n".
 
         Returns:
             Text: A Text instance with markup rendered.
@@ -270,6 +272,7 @@ def from_markup(
         rendered_text = render(text, style, emoji=emoji, emoji_variant=emoji_variant)
         rendered_text.justify = justify
         rendered_text.overflow = overflow
+        rendered_text.end = end
         return rendered_text
 
     @classmethod
diff --git a/rich/traceback.py b/rich/traceback.py
index 1d3b71ea32..55acaf0708 100644
--- a/rich/traceback.py
+++ b/rich/traceback.py
@@ -12,9 +12,10 @@
 from pygments.token import Comment, Keyword, Name, Number, Operator, String
 from pygments.token import Text as TextToken
 from pygments.token import Token
+from pygments.util import ClassNotFound
 
 from . import pretty
-from ._loop import loop_first, loop_last
+from ._loop import loop_last
 from .columns import Columns
 from .console import Console, ConsoleOptions, ConsoleRenderable, RenderResult, group
 from .constrain import Constrain
@@ -130,7 +131,7 @@ def ipy_display_traceback(
 
     try:  # pragma: no cover
         # if within ipython, use customized traceback
-        ip = get_ipython()  # type: ignore
+        ip = get_ipython()  # type: ignore[name-defined]
         ipy_excepthook_closure(ip)
         return sys.excepthook
     except Exception:
@@ -366,6 +367,8 @@ def safe_str(_object: Any) -> str:
                 if filename and not filename.startswith("<"):
                     if not os.path.isabs(filename):
                         filename = os.path.join(_IMPORT_CWD, filename)
+                if frame_summary.f_locals.get("_rich_traceback_omit", False):
+                    continue
                 frame = Frame(
                     filename=filename or "?",
                     lineno=line_no,
@@ -382,7 +385,7 @@ def safe_str(_object: Any) -> str:
                     else None,
                 )
                 append(frame)
-                if "_rich_traceback_guard" in frame_summary.f_locals:
+                if frame_summary.f_locals.get("_rich_traceback_guard", False):
                     del stack.frames[:]
 
             cause = getattr(exc_value, "__cause__", None)
@@ -390,9 +393,8 @@ def safe_str(_object: Any) -> str:
                 exc_type = cause.__class__
                 exc_value = cause
                 traceback = cause.__traceback__
-                if traceback:
-                    is_cause = True
-                    continue
+                is_cause = True
+                continue
 
             cause = exc_value.__context__
             if (
@@ -403,9 +405,8 @@ def safe_str(_object: Any) -> str:
                 exc_type = cause.__class__
                 exc_value = cause
                 traceback = cause.__traceback__
-                if traceback:
-                    is_cause = False
-                    continue
+                is_cause = False
+                continue
             # No cover, code is reached but coverage doesn't recognize it.
             break  # pragma: no cover
 
@@ -523,10 +524,10 @@ def _guess_lexer(cls, filename: str, code: str) -> str:
             first_line = code[:new_line_index] if new_line_index != -1 else code
             if first_line.startswith("#!") and "python" in first_line.lower():
                 return "python"
-        lexer_name = (
-            cls.LEXERS.get(ext) or guess_lexer_for_filename(filename, code).name
-        )
-        return lexer_name
+        try:
+            return cls.LEXERS.get(ext) or guess_lexer_for_filename(filename, code).name
+        except ClassNotFound:
+            return "text"
 
     @group()
     def _render_stack(self, stack: Stack) -> RenderResult:
@@ -585,7 +586,7 @@ def render_locals(frame: Frame) -> Iterable[ConsoleRenderable]:
                 )
                 excluded = False
 
-            first = frame_index == 1
+            first = frame_index == 0
             frame_filename = frame.filename
             suppressed = any(frame_filename.startswith(path) for path in self.suppress)
 
@@ -671,7 +672,7 @@ def error() -> None:
             try:
                 foo(0)
             except:
-                slfkjsldkfj  # type: ignore
+                slfkjsldkfj  # type: ignore[name-defined]
         except:
             console.print_exception(show_locals=True)
 
diff --git a/rich/tree.py b/rich/tree.py
index 66203e693e..b9b7bbe541 100644
--- a/rich/tree.py
+++ b/rich/tree.py
@@ -45,7 +45,7 @@ def add(
         style: Optional[StyleType] = None,
         guide_style: Optional[StyleType] = None,
         expanded: bool = True,
-        highlight: bool = False,
+        highlight: Optional[bool] = False,
     ) -> "Tree":
         """Add a child tree.
 
@@ -136,6 +136,7 @@ def make_guide(index: int, style: Style) -> Segment:
                     highlight=self.highlight,
                     height=None,
                 ),
+                pad=options.justify is not None,
             )
 
             if not (depth == 0 and self.hide_root):
@@ -214,9 +215,9 @@ def __rich_measure__(
 
     code = """\
 class Segment(NamedTuple):
-    text: str = ""    
-    style: Optional[Style] = None    
-    is_control: bool = False    
+    text: str = ""
+    style: Optional[Style] = None
+    is_control: bool = False
 """
     syntax = Syntax(code, "python", theme="monokai", line_numbers=True)
 
@@ -224,7 +225,7 @@ class Segment(NamedTuple):
         """\
 ### example.md
 > Hello, World!
-> 
+>
 > Markdown _all_ the things
 """
     )
@@ -246,4 +247,5 @@ class Segment(NamedTuple):
     containers_node.add(Group("📄 [b magenta]Table", table))
 
     console = Console()
+
     console.print(root)
diff --git a/tests/test_ansi.py b/tests/test_ansi.py
index 898286cfab..1a21765c24 100644
--- a/tests/test_ansi.py
+++ b/tests/test_ansi.py
@@ -1,5 +1,3 @@
-import io
-
 from rich.ansi import AnsiDecoder
 from rich.console import Console
 from rich.style import Style
@@ -30,3 +28,20 @@ def test_decode():
     ]
 
     assert lines == expected
+
+
+def test_decode_example():
+    ansi_bytes = b"\x1b[01m\x1b[KC:\\Users\\stefa\\AppData\\Local\\Temp\\tmp3ydingba:\x1b[m\x1b[K In function '\x1b[01m\x1b[Kmain\x1b[m\x1b[K':\n\x1b[01m\x1b[KC:\\Users\\stefa\\AppData\\Local\\Temp\\tmp3ydingba:3:5:\x1b[m\x1b[K \x1b[01;35m\x1b[Kwarning: \x1b[m\x1b[Kunused variable '\x1b[01m\x1b[Ka\x1b[m\x1b[K' [\x1b[01;35m\x1b[K-Wunused-variable\x1b[m\x1b[K]\n    3 | int \x1b[01;35m\x1b[Ka\x1b[m\x1b[K=1;\n      |     \x1b[01;35m\x1b[K^\x1b[m\x1b[K\n"
+    ansi_text = ansi_bytes.decode("utf-8")
+
+    text = Text.from_ansi(ansi_text)
+
+    console = Console(
+        force_terminal=True, legacy_windows=False, color_system="truecolor"
+    )
+    with console.capture() as capture:
+        console.print(text)
+    result = capture.get()
+    print(repr(result))
+    expected = "\x1b[1mC:\\Users\\stefa\\AppData\\Local\\Temp\\tmp3ydingba:\x1b[0m In function '\x1b[1mmain\x1b[0m':\n\x1b[1mC:\\Users\\stefa\\AppData\\Local\\Temp\\tmp3ydingba:3:5:\x1b[0m \x1b[1;35mwarning: \x1b[0munused variable '\x1b[1ma\x1b[0m' \n[\x1b[1;35m-Wunused-variable\x1b[0m]\n    3 | int \x1b[1;35ma\x1b[0m=1;\n      |     \x1b[1;35m^\x1b[0m\n"
+    assert result == expected
diff --git a/tests/test_console.py b/tests/test_console.py
index 0989d8ba16..b0cdfe5bef 100644
--- a/tests/test_console.py
+++ b/tests/test_console.py
@@ -3,7 +3,8 @@
 import os
 import sys
 import tempfile
-from typing import Optional
+from typing import Optional, Tuple, Type, Union
+from unittest import mock
 
 import pytest
 
@@ -14,8 +15,8 @@
     Console,
     ConsoleDimensions,
     ConsoleOptions,
-    group,
     ScreenUpdate,
+    group,
 )
 from rich.control import Control
 from rich.measure import measure_renderables
@@ -122,6 +123,48 @@ def test_size():
     assert w == 99 and h == 101
 
 
+@pytest.mark.parametrize(
+    "is_windows,no_descriptor_size,stdin_size,stdout_size,stderr_size,expected_size",
+    [
+        # on Windows we'll use `os.get_terminal_size()` without arguments...
+        (True, (133, 24), ValueError, ValueError, ValueError, (133, 24)),
+        (False, (133, 24), ValueError, ValueError, ValueError, (80, 25)),
+        # ...while on other OS we'll try to pass stdin, then stdout, then stderr to it:
+        (False, ValueError, (133, 24), ValueError, ValueError, (133, 24)),
+        (False, ValueError, ValueError, (133, 24), ValueError, (133, 24)),
+        (False, ValueError, ValueError, ValueError, (133, 24), (133, 24)),
+        (False, ValueError, ValueError, ValueError, ValueError, (80, 25)),
+    ],
+)
+@mock.patch("rich.console.os.get_terminal_size")
+def test_size_can_fall_back_to_std_descriptors(
+    get_terminal_size_mock: mock.MagicMock,
+    is_windows: bool,
+    no_descriptor_size: Union[Tuple[int, int], Type[ValueError]],
+    stdin_size: Union[Tuple[int, int], Type[ValueError]],
+    stdout_size: Union[Tuple[int, int], Type[ValueError]],
+    stderr_size: Union[Tuple[int, int], Type[ValueError]],
+    expected_size,
+):
+    def get_terminal_size_mock_impl(fileno: int = None) -> Tuple[int, int]:
+        value = {
+            None: no_descriptor_size,
+            sys.__stdin__.fileno(): stdin_size,
+            sys.__stdout__.fileno(): stdout_size,
+            sys.__stderr__.fileno(): stderr_size,
+        }[fileno]
+        if value is ValueError:
+            raise value
+        return value
+
+    get_terminal_size_mock.side_effect = get_terminal_size_mock_impl
+
+    console = Console(legacy_windows=False)
+    with mock.patch("rich.console.WINDOWS", new=is_windows):
+        w, h = console.size
+    assert (w, h) == expected_size
+
+
 def test_repr():
     console = Console()
     assert isinstance(repr(console), str)
@@ -185,6 +228,15 @@ def test_print_json_ensure_ascii():
     assert result == expected
 
 
+def test_print_json_indent_none():
+    console = Console(file=io.StringIO(), color_system="truecolor")
+    data = {"name": "apple", "count": 1}
+    console.print_json(data=data, indent=None)
+    result = console.file.getvalue()
+    expected = '\x1b[1m{\x1b[0m\x1b[1;34m"name"\x1b[0m: \x1b[32m"apple"\x1b[0m, \x1b[1;34m"count"\x1b[0m: \x1b[1;36m1\x1b[0m\x1b[1m}\x1b[0m\n'
+    assert result == expected
+
+
 def test_log():
     console = Console(
         file=io.StringIO(),
@@ -299,7 +351,7 @@ def test_capture():
 
 
 def test_input(monkeypatch, capsys):
-    def fake_input(prompt):
+    def fake_input(prompt=""):
         console.file.write(prompt)
         return "bar"
 
@@ -310,18 +362,6 @@ def fake_input(prompt):
     assert user_input == "bar"
 
 
-def test_input_legacy_windows(monkeypatch, capsys):
-    def fake_input(prompt):
-        console.file.write(prompt)
-        return "bar"
-
-    monkeypatch.setattr("builtins.input", fake_input)
-    console = Console(legacy_windows=True)
-    user_input = console.input(prompt="foo:")
-    assert capsys.readouterr().out == "foo:"
-    assert user_input == "bar"
-
-
 def test_input_password(monkeypatch, capsys):
     def fake_input(prompt, stream=None):
         console.file.write(prompt)
@@ -453,6 +493,158 @@ def test_export_html_inline():
     assert html == expected
 
 
+EXPECTED_SVG = """\
+
+    
+    
+        
+            

+                

+                    

+                        
+                            
+                            
+                            
+                        
+                        
Rich

+                    

+                    

+                        
foo Click                                                                                           

+
                                                                                                    

+                    

+                

+            

+        
+    
+
+"""
+
+
+def test_export_svg():
+    console = Console(record=True, width=100)
+    console.print(
+        "[b red on blue reverse]foo[/] [blink][link=https://example.org]Click[/link]"
+    )
+    svg = console.export_svg()
+    svg_main_code_hash = (
+        "857433718"  # hard-coded here after the 1st time we ran this test
+    )
+    expected_svg = EXPECTED_SVG.replace("${SVG_HASH}", svg_main_code_hash)
+    assert svg == expected_svg
+
+
+def test_save_svg():
+    console = Console(record=True, width=100)
+    console.print(
+        "[b red on blue reverse]foo[/] [blink][link=https://example.org]Click[/link]"
+    )
+    svg_main_code_hash = "857433718"
+    expected_svg = EXPECTED_SVG.replace("${SVG_HASH}", svg_main_code_hash)
+    with tempfile.TemporaryDirectory() as path:
+        export_path = os.path.join(path, "example.svg")
+        console.save_svg(export_path)
+        with open(export_path, "rt") as svg_file:
+            assert svg_file.read() == expected_svg
+
+
 def test_save_text():
     console = Console(record=True, width=100)
     console.print("foo")
@@ -685,6 +877,18 @@ def test_is_alt_screen():
     assert not console.is_alt_screen
 
 
+def test_set_console_title():
+    console = Console(force_terminal=True, _environ={})
+    if console.legacy_windows:
+        return
+
+    with console.capture() as captured:
+        console.set_window_title("hello")
+
+    result = captured.get()
+    assert result == "\x1b]0;hello\x07"
+
+
 def test_update_screen():
     console = Console(force_terminal=True, width=20, height=5, _environ={})
     if console.legacy_windows:
@@ -759,3 +963,28 @@ def _mock_isatty():
 def test_detect_color_system():
     console = Console(_environ={"TERM": "rxvt-unicode-256color"}, force_terminal=True)
     assert console._detect_color_system() == ColorSystem.EIGHT_BIT
+
+
+def test_reset_height():
+    """Test height is reset when rendering complex renderables."""
+    # https://github.com/Textualize/rich/issues/2042
+    class Panels:
+        def __rich_console__(self, console, options):
+            yield Panel("foo")
+            yield Panel("bar")
+
+    console = Console(
+        force_terminal=True,
+        color_system="truecolor",
+        width=20,
+        height=40,
+        legacy_windows=False,
+    )
+
+    with console.capture() as capture:
+        console.print(Panel(Panels()), height=12)
+    result = capture.get()
+    print(repr(result))
+    expected = "╭──────────────────╮\n│ ╭──────────────╮ │\n│ │ foo          │ │\n│ ╰──────────────╯ │\n│ ╭──────────────╮ │\n│ │ bar          │ │\n│ ╰──────────────╯ │\n│                  │\n│                  │\n│                  │\n│                  │\n╰──────────────────╯\n"
+
+    assert result == expected
diff --git a/tests/test_control.py b/tests/test_control.py
index dbd21fe115..987206d82e 100644
--- a/tests/test_control.py
+++ b/tests/test_control.py
@@ -1,5 +1,5 @@
 from rich.control import Control, strip_control_codes
-from rich.segment import Segment, ControlType
+from rich.segment import ControlType, Segment
 
 
 def test_control():
@@ -45,3 +45,12 @@ def test_move_to_column():
         None,
         [(ControlType.CURSOR_MOVE_TO_COLUMN, 10), (ControlType.CURSOR_UP, 20)],
     )
+
+
+def test_title():
+    control_segment = Control.title("hello").segment
+    assert control_segment == Segment(
+        "\x1b]0;hello\x07",
+        None,
+        [(ControlType.SET_WINDOW_TITLE, "hello")],
+    )
diff --git a/tests/test_file_proxy.py b/tests/test_file_proxy.py
index 2218d03b76..51c530aa31 100644
--- a/tests/test_file_proxy.py
+++ b/tests/test_file_proxy.py
@@ -25,3 +25,14 @@ def test_flush():
     assert file.getvalue() == ""
     file_proxy.flush()
     assert file.getvalue() == "foo\n"
+
+
+def test_new_lines():
+
+    file = io.StringIO()
+    console = Console(file=file)
+    file_proxy = FileProxy(console, file)
+    file_proxy.write("-\n-")
+    assert file.getvalue() == "-\n"
+    file_proxy.flush()
+    assert file.getvalue() == "-\n-\n"
diff --git a/tests/test_highlighter.py b/tests/test_highlighter.py
index 99793723c8..0a036b72f8 100644
--- a/tests/test_highlighter.py
+++ b/tests/test_highlighter.py
@@ -1,8 +1,10 @@
 """Tests for the highlighter classes."""
-import pytest
+import json
 from typing import List
 
-from rich.highlighter import NullHighlighter, ReprHighlighter
+import pytest
+
+from rich.highlighter import JSONHighlighter, NullHighlighter, ReprHighlighter
 from rich.text import Span, Text
 
 
@@ -40,6 +42,16 @@ def test_wrong_type():
             Span(4, 9, "repr.str"),
         ],
     ),
+    (
+        "",
+        [
+            Span(0, 1, "repr.tag_start"),
+            Span(1, 23, "repr.tag_name"),
+            Span(23, 25, "repr.tag_contents"),
+            Span(25, 26, "repr.tag_end"),
+            Span(24, 25, "repr.number"),
+        ],
+    ),
     ("( )", [Span(0, 1, "repr.brace"), Span(2, 3, "repr.brace")]),
     ("[ ]", [Span(0, 1, "repr.brace"), Span(2, 3, "repr.brace")]),
     ("{ }", [Span(0, 1, "repr.brace"), Span(2, 3, "repr.brace")]),
@@ -47,6 +59,40 @@ def test_wrong_type():
     (" 1.2 ", [Span(1, 4, "repr.number")]),
     (" 0xff ", [Span(1, 5, "repr.number")]),
     (" 1e10 ", [Span(1, 5, "repr.number")]),
+    (" 1j ", [Span(1, 3, "repr.number_complex")]),
+    (" 3.14j ", [Span(1, 6, "repr.number_complex")]),
+    (
+        " (3.14+2.06j) ",
+        [
+            Span(1, 2, "repr.brace"),
+            Span(12, 13, "repr.brace"),
+            Span(2, 12, "repr.number_complex"),
+        ],
+    ),
+    (
+        " (3+2j) ",
+        [
+            Span(1, 2, "repr.brace"),
+            Span(6, 7, "repr.brace"),
+            Span(2, 6, "repr.number_complex"),
+        ],
+    ),
+    (
+        " (123456.4321-1234.5678j) ",
+        [
+            Span(1, 2, "repr.brace"),
+            Span(24, 25, "repr.brace"),
+            Span(2, 24, "repr.number_complex"),
+        ],
+    ),
+    (
+        " (-123123-2.1312342342423422e+25j) ",
+        [
+            Span(1, 2, "repr.brace"),
+            Span(33, 34, "repr.brace"),
+            Span(2, 33, "repr.number_complex"),
+        ],
+    ),
     (" /foo ", [Span(1, 2, "repr.path"), Span(2, 5, "repr.filename")]),
     (" /foo/bar.html ", [Span(1, 6, "repr.path"), Span(6, 14, "repr.filename")]),
     ("01-23-45-67-89-AB", [Span(0, 17, "repr.eui48")]),  # 6x2 hyphen
@@ -71,6 +117,7 @@ def test_wrong_type():
     ('"""hello"""', [Span(0, 11, "repr.str")]),
     ("\\'foo'", []),
     ("it's no 'string'", [Span(8, 16, "repr.str")]),
+    ("78351748-9b32-4e08-ad3e-7e9ff124d541", [Span(0, 36, "repr.uuid")]),
 ]
 
 
@@ -82,3 +129,53 @@ def test_highlight_regex(test: str, spans: List[Span]):
     highlighter.highlight(text)
     print(text.spans)
     assert text.spans == spans
+
+
+def test_highlight_json_with_indent():
+    json_string = json.dumps({"name": "apple", "count": 1}, indent=4)
+    text = Text(json_string)
+    highlighter = JSONHighlighter()
+    highlighter.highlight(text)
+    assert text.spans == [
+        Span(0, 1, "json.brace"),
+        Span(6, 12, "json.str"),
+        Span(14, 21, "json.str"),
+        Span(27, 34, "json.str"),
+        Span(36, 37, "json.number"),
+        Span(38, 39, "json.brace"),
+        Span(6, 12, "json.key"),
+        Span(27, 34, "json.key"),
+    ]
+
+
+def test_highlight_json_string_only():
+    json_string = '"abc"'
+    text = Text(json_string)
+    highlighter = JSONHighlighter()
+    highlighter.highlight(text)
+    assert text.spans == [Span(0, 5, "json.str")]
+
+
+def test_highlight_json_empty_string_only():
+    json_string = '""'
+    text = Text(json_string)
+    highlighter = JSONHighlighter()
+    highlighter.highlight(text)
+    assert text.spans == [Span(0, 2, "json.str")]
+
+
+def test_highlight_json_no_indent():
+    json_string = json.dumps({"name": "apple", "count": 1}, indent=None)
+    text = Text(json_string)
+    highlighter = JSONHighlighter()
+    highlighter.highlight(text)
+    assert text.spans == [
+        Span(0, 1, "json.brace"),
+        Span(1, 7, "json.str"),
+        Span(9, 16, "json.str"),
+        Span(18, 25, "json.str"),
+        Span(27, 28, "json.number"),
+        Span(28, 29, "json.brace"),
+        Span(1, 7, "json.key"),
+        Span(18, 25, "json.key"),
+    ]
diff --git a/tests/test_inspect.py b/tests/test_inspect.py
index 63c5f06244..b4c1d2a709 100644
--- a/tests/test_inspect.py
+++ b/tests/test_inspect.py
@@ -32,6 +32,11 @@
     reason="rendered differently on py3.10",
 )
 
+skip_pypy3 = pytest.mark.skipif(
+    hasattr(sys, "pypy_version_info"),
+    reason="rendered differently on pypy3",
+)
+
 
 def render(obj, methods=False, value=False, width=50) -> str:
     console = Console(file=io.StringIO(), width=width, legacy_windows=False)
@@ -81,6 +86,7 @@ def test_render():
     assert expected == result
 
 
+@skip_pypy3
 def test_inspect_text():
     expected = (
         "╭────────────────  ─────────────────╮\n"
@@ -98,6 +104,7 @@ def test_inspect_text():
 
 @skip_py36
 @skip_py37
+@skip_pypy3
 def test_inspect_empty_dict():
     expected = (
         "╭────────────────  ────────────────╮\n"
@@ -119,6 +126,7 @@ def test_inspect_empty_dict():
     assert render({}).startswith(expected)
 
 
+@skip_pypy3
 def test_inspect_builtin_function():
     expected = (
         "╭──────────  ───────────╮\n"
@@ -237,6 +245,7 @@ def test_inspect_integer_with_methods():
 
 @skip_py36
 @skip_py37
+@skip_pypy3
 def test_broken_call_attr():
     class NotCallable:
         __call__ = 5  # Passes callable() but isn't really callable
diff --git a/tests/test_layout.py b/tests/test_layout.py
index 61cc9b6b5d..46f496b0c7 100644
--- a/tests/test_layout.py
+++ b/tests/test_layout.py
@@ -1,4 +1,5 @@
 import sys
+
 import pytest
 
 from rich.console import Console
@@ -77,7 +78,7 @@ def test_tree():
         console.print(layout.tree, height=10)
     result = capture.get()
     print(repr(result))
-    expected = "⬍ Layout(name='root')                                       \n├── ⬍ Layout(size=2)                                        \n└── ⬌ Layout(name='bar')                                    \n    ├── ⬍ Layout()                                          \n    └── ⬍ Layout()                                          \n"
+    expected = "⬍ Layout(name='root')\n├── ⬍ Layout(size=2)\n└── ⬌ Layout(name='bar')\n    ├── ⬍ Layout()\n    └── ⬍ Layout()\n"
     print(result, "\n", expected)
     assert result == expected
 
diff --git a/tests/test_live.py b/tests/test_live.py
index 0c732f63ba..8e3d58928c 100644
--- a/tests/test_live.py
+++ b/tests/test_live.py
@@ -1,12 +1,11 @@
 # encoding=utf-8
-import io
 import time
 from typing import Optional
 
 # import pytest
 from rich.console import Console
-from rich.text import Text
 from rich.live import Live
+from rich.text import Text
 
 
 def create_capture_console(
@@ -117,8 +116,6 @@ def test_growing_display_overflow_visible() -> None:
 
 def test_growing_display_autorefresh() -> None:
     """Test generating a table but using auto-refresh from threading"""
-    console = create_capture_console()
-
     console = create_capture_console(height=5)
     console.begin_capture()
     with Live(console=console, auto_refresh=True, vertical_overflow="visible") as live:
diff --git a/tests/test_lrucache.py b/tests/test_lrucache.py
index 9a1d7d10b5..3cb1e29816 100644
--- a/tests/test_lrucache.py
+++ b/tests/test_lrucache.py
@@ -1,6 +1,5 @@
 from __future__ import unicode_literals
 
-import unittest
 
 from rich._lru_cache import LRUCache
 
diff --git a/tests/test_markup.py b/tests/test_markup.py
index 5a0acbbf09..765b832683 100644
--- a/tests/test_markup.py
+++ b/tests/test_markup.py
@@ -1,7 +1,8 @@
 import pytest
 
 from rich.console import Console
-from rich.markup import escape, MarkupError, _parse, render, Tag, RE_TAGS
+from rich.errors import MarkupError
+from rich.markup import RE_TAGS, Tag, _parse, escape, render
 from rich.text import Span
 
 
@@ -39,6 +40,9 @@ def test_escape():
     assert escape("[@foo]") == "\\[@foo]"
     assert escape("[@]") == "\\[@]"
 
+    # https://github.com/Textualize/rich/issues/2187
+    assert escape("[nil, [nil]]") == r"[nil, \[nil]]"
+
 
 def test_render_escape():
     console = Console(width=80, color_system=None)
@@ -139,6 +143,11 @@ def test_markup_error():
         assert render("[foo]hello[/bar]")
 
 
+def test_markup_escape():
+    result = str(render("[dim white]\[url=[/]"))
+    assert result == "[url="
+
+
 def test_escape_escape():
     # Escaped escapes (i.e. double backslash)should be treated as literal
     result = render(r"\\[bold]FOO")
@@ -165,7 +174,6 @@ def test_escape_escape():
 
 
 def test_events():
-
     result = render("[@click]Hello[/@click] [@click='view.toggle', 'left']World[/]")
     assert str(result) == "Hello World"
 
diff --git a/tests/test_panel.py b/tests/test_panel.py
index 877715fa9f..040288cfef 100644
--- a/tests/test_panel.py
+++ b/tests/test_panel.py
@@ -1,10 +1,12 @@
 import io
-from rich.console import Console
-from rich.measure import Measurement
-from rich.panel import Panel
 
 import pytest
 
+from rich.console import Console
+from rich.panel import Panel
+from rich.segment import Segment
+from rich.style import Style
+
 tests = [
     Panel("Hello, World", padding=0),
     Panel("Hello, World", expand=False, padding=0),
@@ -53,6 +55,49 @@ def test_fixed_width():
     assert max_width == 20
 
 
+def test_render_size():
+    console = Console(width=63, height=46, legacy_windows=False)
+    options = console.options.update_dimensions(80, 4)
+    lines = console.render_lines(Panel("foo", title="Hello"), options=options)
+    print(repr(lines))
+    expected = [
+        [
+            Segment("╭─", Style()),
+            Segment(
+                "────────────────────────────────── Hello ───────────────────────────────────"
+            ),
+            Segment("─╮", Style()),
+        ],
+        [
+            Segment("│", Style()),
+            Segment(" ", Style()),
+            Segment("foo"),
+            Segment(
+                "                                                                         "
+            ),
+            Segment(" ", Style()),
+            Segment("│", Style()),
+        ],
+        [
+            Segment("│", Style()),
+            Segment(" ", Style()),
+            Segment(
+                "                                                                            ",
+                Style(),
+            ),
+            Segment(" ", Style()),
+            Segment("│", Style()),
+        ],
+        [
+            Segment(
+                "╰──────────────────────────────────────────────────────────────────────────────╯",
+                Style(),
+            )
+        ],
+    ]
+    assert lines == expected
+
+
 if __name__ == "__main__":
     expected = []
     for panel in tests:
diff --git a/tests/test_pretty.py b/tests/test_pretty.py
index 871f1397cc..d45b0c22db 100644
--- a/tests/test_pretty.py
+++ b/tests/test_pretty.py
@@ -1,15 +1,17 @@
+import collections
 import io
 import sys
 from array import array
-from collections import defaultdict, UserDict
-from typing import List
+from collections import UserDict, defaultdict
+from dataclasses import dataclass, field
+from typing import List, NamedTuple
 
 import attr
 import pytest
-from dataclasses import dataclass, field
 
 from rich.console import Console
-from rich.pretty import install, Pretty, pprint, pretty_repr, Node, _ipy_display_hook
+from rich.measure import Measurement
+from rich.pretty import Node, Pretty, _ipy_display_hook, install, pprint, pretty_repr
 from rich.text import Text
 
 skip_py36 = pytest.mark.skipif(
@@ -168,6 +170,74 @@ def test_pretty_dataclass():
     assert result == "ExampleDataclass(foo=1000, bar=..., baz=['foo', 'bar', 'baz'])"
 
 
+class StockKeepingUnit(NamedTuple):
+    name: str
+    description: str
+    price: float
+    category: str
+    reviews: List[str]
+
+
+def test_pretty_namedtuple():
+    console = Console(color_system=None)
+    console.begin_capture()
+
+    example_namedtuple = StockKeepingUnit(
+        "Sparkling British Spring Water",
+        "Carbonated spring water",
+        0.9,
+        "water",
+        ["its amazing!", "its terrible!"],
+    )
+
+    result = pretty_repr(example_namedtuple)
+
+    print(result)
+    assert (
+        result
+        == """StockKeepingUnit(
+    name='Sparkling British Spring Water',
+    description='Carbonated spring water',
+    price=0.9,
+    category='water',
+    reviews=['its amazing!', 'its terrible!']
+)"""
+    )
+
+
+def test_pretty_namedtuple_length_one_no_trailing_comma():
+    instance = collections.namedtuple("Thing", ["name"])(name="Bob")
+    assert pretty_repr(instance) == "Thing(name='Bob')"
+
+
+def test_pretty_namedtuple_empty():
+    instance = collections.namedtuple("Thing", [])()
+    assert pretty_repr(instance) == "Thing()"
+
+
+def test_pretty_namedtuple_custom_repr():
+    class Thing(NamedTuple):
+        def __repr__(self):
+            return "XX"
+
+    assert pretty_repr(Thing()) == "XX"
+
+
+def test_pretty_namedtuple_fields_invalid_type():
+    class LooksLikeANamedTupleButIsnt(tuple):
+        _fields = "blah"
+
+    instance = LooksLikeANamedTupleButIsnt()
+    result = pretty_repr(instance)
+    assert result == "()"  # Treated as tuple
+
+
+def test_pretty_namedtuple_max_depth():
+    instance = {"unit": StockKeepingUnit("a", "b", 1.0, "c", ["d", "e"])}
+    result = pretty_repr(instance, max_depth=1)
+    assert result == "{'unit': ...}"
+
+
 def test_small_width():
     test = ["Hello world! 12345"]
     result = pretty_repr(test, max_width=10)
@@ -464,3 +534,13 @@ def __getattr__(self, attr):
     foo = Foo()
     result = pretty_repr(foo)
     assert "Foo" in result
+
+
+def test_measure_pretty():
+    """Test measure respects expand_all"""
+    # https://github.com/Textualize/rich/issues/1998
+    console = Console()
+    pretty = Pretty(["alpha", "beta", "delta", "gamma"], expand_all=True)
+
+    measurement = console.measure(pretty)
+    assert measurement == Measurement(12, 12)
diff --git a/tests/test_progress.py b/tests/test_progress.py
index 20b9d32ed4..8a90ad80fd 100644
--- a/tests/test_progress.py
+++ b/tests/test_progress.py
@@ -1,30 +1,35 @@
 # encoding=utf-8
 
 import io
-from time import sleep
+import os
+import tempfile
+from types import SimpleNamespace
 
 import pytest
 
-from rich.progress_bar import ProgressBar
+import rich.progress
 from rich.console import Console
 from rich.highlighter import NullHighlighter
 from rich.progress import (
     BarColumn,
-    FileSizeColumn,
-    TotalFileSizeColumn,
     DownloadColumn,
-    TransferSpeedColumn,
+    FileSizeColumn,
+    MofNCompleteColumn,
+    Progress,
     RenderableColumn,
     SpinnerColumn,
-    Progress,
     Task,
+    TaskID,
+    TaskProgressColumn,
     TextColumn,
     TimeElapsedColumn,
     TimeRemainingColumn,
-    track,
+    TotalFileSizeColumn,
+    TransferSpeedColumn,
     _TrackThread,
-    TaskID,
+    track,
 )
+from rich.progress_bar import ProgressBar
 from rich.text import Text
 
 
@@ -88,6 +93,33 @@ class FakeTask(Task):
     assert str(text) == "0:01:00"
 
 
+@pytest.mark.parametrize(
+    "task_time, formatted",
+    [
+        (None, "--:--"),
+        (0, "00:00"),
+        (59, "00:59"),
+        (71, "01:11"),
+        (4210, "1:10:10"),
+    ],
+)
+def test_compact_time_remaining_column(task_time, formatted):
+    task = SimpleNamespace(finished=False, time_remaining=task_time, total=100)
+    column = TimeRemainingColumn(compact=True)
+
+    assert str(column.render(task)) == formatted
+
+
+def test_time_remaining_column_elapsed_when_finished():
+    task_time = 71
+    formatted = "0:01:11"
+
+    task = SimpleNamespace(finished=True, finished_time=task_time, total=100)
+    column = TimeRemainingColumn(elapsed_when_finished=True)
+
+    assert str(column.render(task)) == formatted
+
+
 def test_renderable_column():
     column = RenderableColumn("foo")
     task = Task(1, "test", 100, 20, _get_time=lambda: 1.0)
@@ -122,7 +154,7 @@ def test_download_progress_uses_decimal_units() -> None:
     column = DownloadColumn()
     test_task = Task(1, "test", 1000, 500, _get_time=lambda: 1.0)
     rendered_progress = str(column.render(test_task))
-    expected = "0.5/1.0 KB"
+    expected = "0.5/1.0 kB"
     assert rendered_progress == expected
 
 
@@ -215,6 +247,31 @@ def test_expand_bar() -> None:
     assert render_result == expected
 
 
+def test_progress_with_none_total_renders_a_pulsing_bar() -> None:
+    console = Console(
+        file=io.StringIO(),
+        force_terminal=True,
+        width=10,
+        color_system="truecolor",
+        legacy_windows=False,
+        _environ={},
+    )
+    progress = Progress(
+        BarColumn(bar_width=None),
+        console=console,
+        get_time=lambda: 1.0,
+        auto_refresh=False,
+    )
+    progress.add_task("foo", total=None)
+    with progress:
+        pass
+    expected = "\x1b[?25l\x1b[38;2;153;48;86m━\x1b[0m\x1b[38;2;183;44;94m━\x1b[0m\x1b[38;2;209;42;102m━\x1b[0m\x1b[38;2;230;39;108m━\x1b[0m\x1b[38;2;244;38;112m━\x1b[0m\x1b[38;2;249;38;114m━\x1b[0m\x1b[38;2;244;38;112m━\x1b[0m\x1b[38;2;230;39;108m━\x1b[0m\x1b[38;2;209;42;102m━\x1b[0m\x1b[38;2;183;44;94m━\x1b[0m\r\x1b[2K\x1b[38;2;153;48;86m━\x1b[0m\x1b[38;2;183;44;94m━\x1b[0m\x1b[38;2;209;42;102m━\x1b[0m\x1b[38;2;230;39;108m━\x1b[0m\x1b[38;2;244;38;112m━\x1b[0m\x1b[38;2;249;38;114m━\x1b[0m\x1b[38;2;244;38;112m━\x1b[0m\x1b[38;2;230;39;108m━\x1b[0m\x1b[38;2;209;42;102m━\x1b[0m\x1b[38;2;183;44;94m━\x1b[0m\n\x1b[?25h"
+    render_result = console.file.getvalue()
+    print("RESULT\n", repr(render_result))
+    print("EXPECTED\n", repr(expected))
+    assert render_result == expected
+
+
 def test_render() -> None:
     expected = "\x1b[?25lfoo  \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[35m  0%\x1b[0m \x1b[36m-:--:--\x1b[0m\nbar  \x1b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━\x1b[0m\x1b[38;5;237m╺\x1b[0m\x1b[38;5;237m━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[35m 53%\x1b[0m \x1b[36m-:--:--\x1b[0m\nfoo2 \x1b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[35m100%\x1b[0m \x1b[36m0:00:00\x1b[0m\r\x1b[2K\x1b[1A\x1b[2K\x1b[1A\x1b[2Kfoo  \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[35m  0%\x1b[0m \x1b[36m-:--:--\x1b[0m\nbar  \x1b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━\x1b[0m\x1b[38;5;237m╺\x1b[0m\x1b[38;5;237m━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[35m 53%\x1b[0m \x1b[36m-:--:--\x1b[0m\nfoo2 \x1b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[35m100%\x1b[0m \x1b[36m0:00:00\x1b[0m\n\x1b[?25h"
     render_result = render_progress()
@@ -251,10 +308,6 @@ def test_track() -> None:
 
     assert result == expected
 
-    with pytest.raises(ValueError):
-        for n in track(5):
-            pass
-
 
 def test_progress_track() -> None:
     console = Console(
@@ -284,10 +337,6 @@ def test_progress_track() -> None:
 
     assert result == expected
 
-    with pytest.raises(ValueError):
-        for n in progress.track(5):
-            pass
-
 
 def test_columns() -> None:
 
@@ -311,6 +360,8 @@ def test_columns() -> None:
         TotalFileSizeColumn(),
         DownloadColumn(),
         TransferSpeedColumn(),
+        MofNCompleteColumn(),
+        MofNCompleteColumn(separator=" of "),
         transient=True,
         console=console,
         auto_refresh=False,
@@ -330,7 +381,8 @@ def test_columns() -> None:
 
     result = replace_link_ids(console.file.getvalue())
     print(repr(result))
-    expected = "\x1b[?25ltest foo \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:07\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m0/10 bytes\x1b[0m \x1b[31m?\x1b[0m\ntest bar \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:16\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m0/7 bytes \x1b[0m \x1b[31m?\x1b[0m\r\x1b[2K\x1b[1A\x1b[2Kfoo\ntest foo \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:07\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m0/10 bytes\x1b[0m \x1b[31m?\x1b[0m\ntest bar \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:16\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m0/7 bytes \x1b[0m \x1b[31m?\x1b[0m\r\x1b[2K\x1b[1A\x1b[2K\x1b[2;36m[TIME]\x1b[0m\x1b[2;36m \x1b[0mhello                                                                    \ntest foo \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:07\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m0/10 bytes\x1b[0m \x1b[31m?\x1b[0m\ntest bar \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:16\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m0/7 bytes \x1b[0m \x1b[31m?\x1b[0m\r\x1b[2K\x1b[1A\x1b[2Kworld\ntest foo \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:07\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m0/10 bytes\x1b[0m \x1b[31m?\x1b[0m\ntest bar \x1b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:16\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m0/7 bytes \x1b[0m \x1b[31m?\x1b[0m\r\x1b[2K\x1b[1A\x1b[2Ktest foo \x1b[38;2;114;156;31m━━━━━━━━━━━━━━━\x1b[0m \x1b[36m0:00:00\x1b[0m \x1b[33m0:00:30\x1b[0m \x1b[32m12 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m12/10 bytes\x1b[0m \x1b[31m1 byte/s \x1b[0m\ntest bar \x1b[38;2;114;156;31m━━━━━━━━━━━━━━━\x1b[0m \x1b[36m0:00:00\x1b[0m \x1b[33m0:00:25\x1b[0m \x1b[32m16 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m16/7 bytes \x1b[0m \x1b[31m2 bytes/s\x1b[0m\r\x1b[2K\x1b[1A\x1b[2Ktest foo \x1b[38;2;114;156;31m━━━━━━━━━━━━━━━\x1b[0m \x1b[36m0:00:00\x1b[0m \x1b[33m0:00:30\x1b[0m \x1b[32m12 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m12/10 bytes\x1b[0m \x1b[31m1 byte/s \x1b[0m\ntest bar \x1b[38;2;114;156;31m━━━━━━━━━━━━━━━\x1b[0m \x1b[36m0:00:00\x1b[0m \x1b[33m0:00:25\x1b[0m \x1b[32m16 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m16/7 bytes \x1b[0m \x1b[31m2 bytes/s\x1b[0m\n\x1b[?25h\r\x1b[1A\x1b[2K\x1b[1A\x1b[2K"
+    expected = "\x1b[?25ltest foo \x1b[38;5;237m━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:07\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m0/10 bytes\x1b[0m \x1b[31m?\x1b[0m \x1b[32m 0/10\x1b[0m \x1b[32m 0 of 10\x1b[0m\ntest bar \x1b[38;5;237m━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:18\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m0/7 bytes \x1b[0m \x1b[31m?\x1b[0m \x1b[32m0/7  \x1b[0m \x1b[32m0 of 7  \x1b[0m\r\x1b[2K\x1b[1A\x1b[2Kfoo\ntest foo \x1b[38;5;237m━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:07\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m0/10 bytes\x1b[0m \x1b[31m?\x1b[0m \x1b[32m 0/10\x1b[0m \x1b[32m 0 of 10\x1b[0m\ntest bar \x1b[38;5;237m━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:18\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m0/7 bytes \x1b[0m \x1b[31m?\x1b[0m \x1b[32m0/7  \x1b[0m \x1b[32m0 of 7  \x1b[0m\r\x1b[2K\x1b[1A\x1b[2K\x1b[2;36m[TIME]\x1b[0m\x1b[2;36m \x1b[0mhello                                                                    \ntest foo \x1b[38;5;237m━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:07\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m0/10 bytes\x1b[0m \x1b[31m?\x1b[0m \x1b[32m 0/10\x1b[0m \x1b[32m 0 of 10\x1b[0m\ntest bar \x1b[38;5;237m━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:18\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m0/7 bytes \x1b[0m \x1b[31m?\x1b[0m \x1b[32m0/7  \x1b[0m \x1b[32m0 of 7  \x1b[0m\r\x1b[2K\x1b[1A\x1b[2Kworld\ntest foo \x1b[38;5;237m━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:07\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m10 bytes\x1b[0m \x1b[32m0/10 bytes\x1b[0m \x1b[31m?\x1b[0m \x1b[32m 0/10\x1b[0m \x1b[32m 0 of 10\x1b[0m\ntest bar \x1b[38;5;237m━━━━━━━━━━\x1b[0m \x1b[36m-:--:--\x1b[0m \x1b[33m0:00:18\x1b[0m \x1b[32m0 bytes\x1b[0m \x1b[32m7 bytes \x1b[0m \x1b[32m0/7 bytes \x1b[0m \x1b[31m?\x1b[0m \x1b[32m0/7  \x1b[0m \x1b[32m0 of 7  \x1b[0m\r\x1b[2K\x1b[1A\x1b[2Ktest foo \x1b[38;2;114;156;31m━━━━━━━\x1b[0m \x1b[36m0:00:00\x1b[0m \x1b[33m0:00:34\x1b[0m \x1b[32m12     \x1b[0m \x1b[32m10     \x1b[0m \x1b[32m12/10   \x1b[0m \x1b[31m1      \x1b[0m \x1b[32m12/10\x1b[0m \x1b[32m12 of 10\x1b[0m\n                                 \x1b[32mbytes  \x1b[0m \x1b[32mbytes  \x1b[0m \x1b[32mbytes   \x1b[0m \x1b[31mbyte/s \x1b[0m               \ntest bar \x1b[38;2;114;156;31m━━━━━━━\x1b[0m \x1b[36m0:00:00\x1b[0m \x1b[33m0:00:29\x1b[0m \x1b[32m16     \x1b[0m \x1b[32m7 bytes\x1b[0m \x1b[32m16/7    \x1b[0m \x1b[31m2      \x1b[0m \x1b[32m16/7 \x1b[0m \x1b[32m16 of 7 \x1b[0m\n                                 \x1b[32mbytes  \x1b[0m         \x1b[32mbytes   \x1b[0m \x1b[31mbytes/s\x1b[0m               \r\x1b[2K\x1b[1A\x1b[2K\x1b[1A\x1b[2K\x1b[1A\x1b[2Ktest foo \x1b[38;2;114;156;31m━━━━━━━\x1b[0m \x1b[36m0:00:00\x1b[0m \x1b[33m0:00:34\x1b[0m \x1b[32m12     \x1b[0m \x1b[32m10     \x1b[0m \x1b[32m12/10   \x1b[0m \x1b[31m1      \x1b[0m \x1b[32m12/10\x1b[0m \x1b[32m12 of 10\x1b[0m\n                                 \x1b[32mbytes  \x1b[0m \x1b[32mbytes  \x1b[0m \x1b[32mbytes   \x1b[0m \x1b[31mbyte/s \x1b[0m               \ntest bar \x1b[38;2;114;156;31m━━━━━━━\x1b[0m \x1b[36m0:00:00\x1b[0m \x1b[33m0:00:29\x1b[0m \x1b[32m16     \x1b[0m \x1b[32m7 bytes\x1b[0m \x1b[32m16/7    \x1b[0m \x1b[31m2      \x1b[0m \x1b[32m16/7 \x1b[0m \x1b[32m16 of 7 \x1b[0m\n                                 \x1b[32mbytes  \x1b[0m         \x1b[32mbytes   \x1b[0m \x1b[31mbytes/s\x1b[0m               \n\x1b[?25h\r\x1b[1A\x1b[2K\x1b[1A\x1b[2K\x1b[1A\x1b[2K\x1b[1A\x1b[2K"
+
     assert result == expected
 
 
@@ -339,7 +391,7 @@ def test_using_default_columns() -> None:
     expected_default_types = [
         TextColumn,
         BarColumn,
-        TextColumn,
+        TaskProgressColumn,
         TimeRemainingColumn,
     ]
 
@@ -517,6 +569,98 @@ def test_no_output_if_progress_is_disabled() -> None:
     assert result == expected
 
 
+def test_open() -> None:
+    console = Console(
+        file=io.StringIO(),
+        force_terminal=True,
+        width=60,
+        color_system="truecolor",
+        legacy_windows=False,
+        _environ={},
+    )
+    progress = Progress(
+        console=console,
+    )
+
+    fd, filename = tempfile.mkstemp()
+    with os.fdopen(fd, "wb") as f:
+        f.write(b"Hello, World!")
+    try:
+        with rich.progress.open(filename) as f:
+            assert f.read() == "Hello, World!"
+        assert f.closed
+    finally:
+        os.remove(filename)
+
+
+def test_open_text_mode() -> None:
+    fd, filename = tempfile.mkstemp()
+    with os.fdopen(fd, "wb") as f:
+        f.write(b"Hello, World!")
+    try:
+        with rich.progress.open(filename, "r") as f:
+            assert f.read() == "Hello, World!"
+        assert f.closed
+    finally:
+        os.remove(filename)
+
+
+def test_wrap_file() -> None:
+    fd, filename = tempfile.mkstemp()
+    with os.fdopen(fd, "wb") as f:
+        total = f.write(b"Hello, World!")
+    try:
+        with open(filename, "rb") as file:
+            with rich.progress.wrap_file(file, total=total) as f:
+                assert f.read() == b"Hello, World!"
+            assert f.closed
+            assert not f.handle.closed
+            assert not file.closed
+        assert file.closed
+    finally:
+        os.remove(filename)
+
+
+def test_wrap_file_task_total() -> None:
+    console = Console(
+        file=io.StringIO(),
+        force_terminal=True,
+        width=60,
+        color_system="truecolor",
+        legacy_windows=False,
+        _environ={},
+    )
+    progress = Progress(
+        console=console,
+    )
+
+    fd, filename = tempfile.mkstemp()
+    with os.fdopen(fd, "wb") as f:
+        total = f.write(b"Hello, World!")
+    try:
+        with progress:
+            with open(filename, "rb") as file:
+                task_id = progress.add_task("Reading", total=total)
+                with progress.wrap_file(file, task_id=task_id) as f:
+                    assert f.read() == b"Hello, World!"
+    finally:
+        os.remove(filename)
+
+
+def test_task_progress_column_speed():
+    speed_text = TaskProgressColumn.render_speed(None)
+    assert speed_text.plain == ""
+
+    speed_text = TaskProgressColumn.render_speed(5)
+    assert speed_text.plain == "5.0 it/s"
+
+    speed_text = TaskProgressColumn.render_speed(5000)
+    assert speed_text.plain == "5.0×10³ it/s"
+
+    speed_text = TaskProgressColumn.render_speed(8888888)
+    assert speed_text.plain == "8.9×10⁶ it/s"
+
+
 if __name__ == "__main__":
     _render = render_progress()
     print(_render)
diff --git a/tests/test_syntax.py b/tests/test_syntax.py
index 46d0126e14..e5d904f363 100644
--- a/tests/test_syntax.py
+++ b/tests/test_syntax.py
@@ -277,7 +277,7 @@ def test_from_path_lexer_override():
     try:
         os.write(fh, b"import this\n")
         syntax = Syntax.from_path(path, lexer="rust")
-        assert syntax.lexer.name is "Rust"
+        assert syntax.lexer.name == "Rust"
         assert syntax.code == "import this\n"
     finally:
         os.remove(path)
diff --git a/tests/test_table.py b/tests/test_table.py
index 6fc863f20c..040f9614a2 100644
--- a/tests/test_table.py
+++ b/tests/test_table.py
@@ -5,7 +5,6 @@
 import pytest
 
 from rich import box, errors
-from rich.align import VerticalAlignMethod
 from rich.console import Console
 from rich.measure import Measurement
 from rich.style import Style
diff --git a/tests/test_tabulate.py b/tests/test_tabulate.py
deleted file mode 100644
index 37e86bfe2b..0000000000
--- a/tests/test_tabulate.py
+++ /dev/null
@@ -1,34 +0,0 @@
-import itertools
-from rich.style import Style
-from rich.table import _Cell
-from rich.tabulate import tabulate_mapping
-
-
-def test_tabulate_mapping():
-    # TODO: tabulate_mapping may not be needed shortly
-    table = tabulate_mapping({"foo": "1", "bar": "2"})
-    assert len(table.columns) == 2
-    assert len(table.columns[0]._cells) == 2
-    assert len(table.columns[1]._cells) == 2
-
-    # add tests for title and caption justification
-    test_title = "Foo v. Bar"
-    test_caption = "approximate results"
-    for title_justify, caption_justify in itertools.product(
-        [None, "left", "center", "right"], repeat=2
-    ):
-        table = tabulate_mapping(
-            {"foo": "1", "bar": "2"},
-            title=test_title,
-            caption=test_caption,
-            title_justify=title_justify,
-            caption_justify=caption_justify,
-        )
-        expected_title_justify = (
-            title_justify if title_justify is not None else "center"
-        )
-        expected_caption_justify = (
-            caption_justify if caption_justify is not None else "center"
-        )
-        assert expected_title_justify == table.title_justify
-        assert expected_caption_justify == table.caption_justify
diff --git a/tests/test_text.py b/tests/test_text.py
index d1d721bd4e..4f02fd41ec 100644
--- a/tests/test_text.py
+++ b/tests/test_text.py
@@ -1,10 +1,11 @@
 from io import StringIO
+
 import pytest
 
-from rich.console import Console
-from rich.text import Span, Text
+from rich.console import Console, Group
 from rich.measure import Measurement
 from rich.style import Style
+from rich.text import Span, Text
 
 
 def test_span():
@@ -104,6 +105,14 @@ def test_from_ansi():
     assert str(text) == "Hello, \nWorld!"
     assert text._spans == [Span(8, 14, Style(bold=True))]
 
+    text = Text.from_ansi("\033[1mBOLD\033[m not bold")
+    assert str(text) == "BOLD not bold"
+    assert text._spans == [Span(0, 4, Style(bold=True))]
+
+    text = Text.from_ansi("\033[1m\033[Kfoo barmbaz")
+    assert str(text) == "foo barmbaz"
+    assert text._spans == [Span(0, 11, Style(bold=True))]
+
 
 def test_copy():
     test = Text()
@@ -298,6 +307,13 @@ def test_append_text():
     assert test._spans == [Span(3, 6, "bold")]
 
 
+def test_end():
+    console = Console(width=20, file=StringIO())
+    test = Group(Text.from_markup("foo", end=" "), Text.from_markup("bar"))
+    console.print(test)
+    assert console.file.getvalue() == "foo bar\n"
+
+
 def test_split():
     test = Text()
     test.append("foo", "red")
diff --git a/tests/test_traceback.py b/tests/test_traceback.py
index 31658c5a43..2830e26aa4 100644
--- a/tests/test_traceback.py
+++ b/tests/test_traceback.py
@@ -1,5 +1,7 @@
 import io
+import re
 import sys
+from typing import List
 
 import pytest
 
@@ -21,10 +23,17 @@
 def test_handler():
     console = Console(file=io.StringIO(), width=100, color_system=None)
     expected_old_handler = sys.excepthook
+
+    def level1():
+        level2()
+
+    def level2():
+        return 1 / 0
+
     try:
         old_handler = install(console=console)
         try:
-            1 / 0
+            level1()
         except Exception:
             exc_type, exc_value, traceback = sys.exc_info()
             sys.excepthook(exc_type, exc_value, traceback)
@@ -32,6 +41,30 @@ def test_handler():
             print(repr(rendered_exception))
             assert "Traceback" in rendered_exception
             assert "ZeroDivisionError" in rendered_exception
+
+            frame_blank_line_possible_preambles = (
+                # Start of the stack rendering:
+                "╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮",
+                # Each subsequent frame (starting with the file name) should then be preceded with a blank line:
+                "│" + (" " * 98) + "│",
+            )
+            for frame_start in re.finditer(
+                "^│ .+rich/tests/test_traceback\.py:",
+                rendered_exception,
+                flags=re.MULTILINE,
+            ):
+                frame_start_index = frame_start.start()
+                for preamble in frame_blank_line_possible_preambles:
+                    preamble_start, preamble_end = (
+                        frame_start_index - len(preamble) - 1,
+                        frame_start_index - 1,
+                    )
+                    if rendered_exception[preamble_start:preamble_end] == preamble:
+                        break
+                else:
+                    pytest.fail(
+                        f"Frame {frame_start[0]} doesn't have the expected preamble"
+                    )
     finally:
         sys.excepthook = old_handler
         assert old_handler == expected_old_handler
@@ -237,6 +270,16 @@ def test_guess_lexer():
     assert Traceback._guess_lexer("foo", "foo\nbnar") == "text"
 
 
+def test_guess_lexer_yaml_j2():
+    # https://github.com/Textualize/rich/issues/2018
+    code = """\
+foobar:
+    something: {{ raiser() }}
+    else: {{ 5 + 5 }}
+    """
+    assert Traceback._guess_lexer("test.yaml.j2", code) == "text"
+
+
 def test_recursive():
     def foo(n):
         return bar(n)
@@ -265,6 +308,42 @@ def test_suppress():
         assert "foo" in traceback.suppress[1]
 
 
+@pytest.mark.parametrize(
+    "rich_traceback_omit_for_level2,expected_frames_length,expected_frame_names",
+    (
+        # fmt: off
+        [True, 3, ["test_rich_traceback_omit_optional_local_flag", "level1", "level3"]],
+        [False, 4, ["test_rich_traceback_omit_optional_local_flag", "level1", "level2", "level3"]],
+        # fmt: on
+    ),
+)
+def test_rich_traceback_omit_optional_local_flag(
+    rich_traceback_omit_for_level2: bool,
+    expected_frames_length: int,
+    expected_frame_names: List[str],
+):
+    def level1():
+        return level2()
+
+    def level2():
+        # true-ish values are enough to trigger the opt-out:
+        _rich_traceback_omit = 1 if rich_traceback_omit_for_level2 else 0
+        return level3()
+
+    def level3():
+        return 1 / 0
+
+    try:
+        level1()
+    except Exception:
+        exc_type, exc_value, traceback = sys.exc_info()
+        trace = Traceback.from_exception(exc_type, exc_value, traceback).trace
+        frames = trace.stacks[0].frames
+        assert len(frames) == expected_frames_length
+        frame_names = [f.name for f in frames]
+        assert frame_names == expected_frame_names
+
+
 if __name__ == "__main__":  # pragma: no cover
 
     expected = render(get_exception())
diff --git a/tests/test_tree.py b/tests/test_tree.py
index f5510aa536..c8465a97a9 100644
--- a/tests/test_tree.py
+++ b/tests/test_tree.py
@@ -12,7 +12,7 @@ def test_render_single_node():
     console = Console(color_system=None, width=20)
     console.begin_capture()
     console.print(tree)
-    assert console.end_capture() == "foo                 \n"
+    assert console.end_capture() == "foo\n"
 
 
 def test_render_single_branch():
@@ -23,7 +23,7 @@ def test_render_single_branch():
     console.print(tree)
     result = console.end_capture()
     print(repr(result))
-    expected = "foo                 \n└── bar             \n"
+    expected = "foo\n└── bar\n"
     assert result == expected
 
 
@@ -36,7 +36,7 @@ def test_render_double_branch():
     console.print(tree)
     result = console.end_capture()
     print(repr(result))
-    expected = "foo                 \n├── bar             \n└── baz             \n"
+    expected = "foo\n├── bar\n└── baz\n"
     assert result == expected
 
 
@@ -54,7 +54,7 @@ def encoding(self):
     console.begin_capture()
     console.print(tree)
     result = console.end_capture()
-    expected = "foo                 \n+-- bar             \n`-- baz             \n"
+    expected = "foo\n+-- bar\n`-- baz\n"
     assert result == expected
 
 
@@ -74,7 +74,7 @@ def test_render_tree_non_win32():
     console.print(tree)
     result = console.end_capture()
     print(repr(result))
-    expected = "foo                 \n├── \x1b[3mbar\x1b[0m\x1b[3m             \x1b[0m\n\x1b[44m├── \x1b[0m\x1b[44mbaz\x1b[0m\x1b[44m             \x1b[0m\n\x1b[44m│   \x1b[0m\x1b[31;44m┣━━ \x1b[0m\x1b[44m1\x1b[0m\x1b[44m           \x1b[0m\n\x1b[44m│   \x1b[0m\x1b[31;44m┗━━ \x1b[0m\x1b[44m2\x1b[0m\x1b[44m           \x1b[0m\n└── egg             \n"
+    expected = "foo\n├── \x1b[3mbar\x1b[0m\n\x1b[44m├── \x1b[0m\x1b[44mbaz\x1b[0m\n\x1b[44m│   \x1b[0m\x1b[31;44m┣━━ \x1b[0m\x1b[44m1\x1b[0m\n\x1b[44m│   \x1b[0m\x1b[31;44m┗━━ \x1b[0m\x1b[44m2\x1b[0m\n└── egg\n"
     assert result == expected
 
 
@@ -87,12 +87,14 @@ def test_render_tree_win32():
     baz_tree.add("2")
     tree.add("egg")
 
-    console = Console(width=20, force_terminal=True, color_system="standard")
+    console = Console(
+        width=20, force_terminal=True, color_system="standard", legacy_windows=True
+    )
     console.begin_capture()
     console.print(tree)
     result = console.end_capture()
     print(repr(result))
-    expected = "foo                 \n├── \x1b[3mbar\x1b[0m\x1b[3m             \x1b[0m\n\x1b[44m├── \x1b[0m\x1b[44mbaz\x1b[0m\x1b[44m             \x1b[0m\n\x1b[44m│   \x1b[0m\x1b[31;44m├── \x1b[0m\x1b[44m1\x1b[0m\x1b[44m           \x1b[0m\n\x1b[44m│   \x1b[0m\x1b[31;44m└── \x1b[0m\x1b[44m2\x1b[0m\x1b[44m           \x1b[0m\n└── egg             \n"
+    expected = "foo\n├── \x1b[3mbar\x1b[0m\n\x1b[44m├── \x1b[0m\x1b[44mbaz\x1b[0m\n\x1b[44m│   \x1b[0m\x1b[31;44m├── \x1b[0m\x1b[44m1\x1b[0m\n\x1b[44m│   \x1b[0m\x1b[31;44m└── \x1b[0m\x1b[44m2\x1b[0m\n└── egg\n"
     assert result == expected
 
 
@@ -112,7 +114,7 @@ def test_render_tree_hide_root_non_win32():
     console.print(tree)
     result = console.end_capture()
     print(repr(result))
-    expected = "\x1b[3mbar\x1b[0m\x1b[3m                 \x1b[0m\n\x1b[44mbaz\x1b[0m\x1b[44m                 \x1b[0m\n\x1b[31;44m┣━━ \x1b[0m\x1b[44m1\x1b[0m\x1b[44m               \x1b[0m\n\x1b[31;44m┗━━ \x1b[0m\x1b[44m2\x1b[0m\x1b[44m               \x1b[0m\negg                 \n"
+    expected = "\x1b[3mbar\x1b[0m\n\x1b[44mbaz\x1b[0m\n\x1b[31;44m┣━━ \x1b[0m\x1b[44m1\x1b[0m\n\x1b[31;44m┗━━ \x1b[0m\x1b[44m2\x1b[0m\negg\n"
     assert result == expected
 
 
@@ -130,7 +132,7 @@ def test_render_tree_hide_root_win32():
     console.print(tree)
     result = console.end_capture()
     print(repr(result))
-    expected = "\x1b[3mbar\x1b[0m\x1b[3m                 \x1b[0m\n\x1b[44mbaz\x1b[0m\x1b[44m                 \x1b[0m\n\x1b[31;44m├── \x1b[0m\x1b[44m1\x1b[0m\x1b[44m               \x1b[0m\n\x1b[31;44m└── \x1b[0m\x1b[44m2\x1b[0m\x1b[44m               \x1b[0m\negg                 \n"
+    expected = "\x1b[3mbar\x1b[0m\n\x1b[44mbaz\x1b[0m\n\x1b[31;44m├── \x1b[0m\x1b[44m1\x1b[0m\n\x1b[31;44m└── \x1b[0m\x1b[44m2\x1b[0m\negg\n"
     assert result == expected
 
 
diff --git a/tests/test_win32_console.py b/tests/test_win32_console.py
new file mode 100644
index 0000000000..33d4fe48be
--- /dev/null
+++ b/tests/test_win32_console.py
@@ -0,0 +1,425 @@
+import dataclasses
+import sys
+from unittest import mock
+from unittest.mock import patch
+
+import pytest
+
+from rich.style import Style
+
+if sys.platform == "win32":
+    from rich import _win32_console
+    from rich._win32_console import COORD, LegacyWindowsTerm, WindowsCoordinates
+
+    CURSOR_X = 1
+    CURSOR_Y = 2
+    CURSOR_POSITION = WindowsCoordinates(row=CURSOR_Y, col=CURSOR_X)
+    SCREEN_WIDTH = 20
+    SCREEN_HEIGHT = 30
+    DEFAULT_STYLE_ATTRIBUTE = 16
+
+    @dataclasses.dataclass
+    class StubScreenBufferInfo:
+        dwCursorPosition: COORD = COORD(CURSOR_X, CURSOR_Y)
+        dwSize: COORD = COORD(SCREEN_WIDTH, SCREEN_HEIGHT)
+        wAttributes: int = DEFAULT_STYLE_ATTRIBUTE
+
+    pytestmark = pytest.mark.skipif(sys.platform != "win32", reason="windows only")
+
+    def test_windows_coordinates_to_ctype():
+        coord = WindowsCoordinates.from_param(WindowsCoordinates(row=1, col=2))
+        assert coord.X == 2
+        assert coord.Y == 1
+
+    @pytest.fixture
+    def win32_handle():
+        handle = mock.sentinel
+        with mock.patch.object(_win32_console, "GetStdHandle", return_value=handle):
+            yield handle
+
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_cursor_position(_):
+        term = LegacyWindowsTerm(sys.stdout)
+        assert term.cursor_position == WindowsCoordinates(row=CURSOR_Y, col=CURSOR_X)
+
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_screen_size(_):
+        term = LegacyWindowsTerm(sys.stdout)
+        assert term.screen_size == WindowsCoordinates(
+            row=SCREEN_HEIGHT, col=SCREEN_WIDTH
+        )
+
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_write_text(_, win32_handle, capsys):
+        text = "Hello, world!"
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.write_text(text)
+
+        captured = capsys.readouterr()
+        assert captured.out == text
+
+    @patch.object(_win32_console, "SetConsoleTextAttribute")
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_write_styled(_, SetConsoleTextAttribute, win32_handle, capsys):
+        style = Style.parse("black on red")
+        text = "Hello, world!"
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.write_styled(text, style)
+
+        captured = capsys.readouterr()
+        assert captured.out == text
+
+        # Ensure we set the text attributes and then reset them after writing styled text
+        call_args = SetConsoleTextAttribute.call_args_list
+        assert len(call_args) == 2
+        first_args, first_kwargs = call_args[0]
+        second_args, second_kwargs = call_args[1]
+
+        assert first_args == (win32_handle,)
+        assert first_kwargs["attributes"].value == 64
+        assert second_args == (win32_handle,)
+        assert second_kwargs["attributes"] == DEFAULT_STYLE_ATTRIBUTE
+
+    @patch.object(_win32_console, "SetConsoleTextAttribute")
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_write_styled_bold(_, SetConsoleTextAttribute, win32_handle):
+        style = Style.parse("bold black on red")
+        text = "Hello, world!"
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.write_styled(text, style)
+
+        call_args = SetConsoleTextAttribute.call_args_list
+        first_args, first_kwargs = call_args[0]
+
+        expected_attr = 64 + 8  # 64 for red bg, +8 for bright black
+        assert first_args == (win32_handle,)
+        assert first_kwargs["attributes"].value == expected_attr
+
+    @patch.object(_win32_console, "SetConsoleTextAttribute")
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_write_styled_reverse(_, SetConsoleTextAttribute, win32_handle):
+        style = Style.parse("reverse red on blue")
+        text = "Hello, world!"
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.write_styled(text, style)
+
+        call_args = SetConsoleTextAttribute.call_args_list
+        first_args, first_kwargs = call_args[0]
+
+        expected_attr = 64 + 1  # 64 for red bg (after reverse), +1 for blue fg
+        assert first_args == (win32_handle,)
+        assert first_kwargs["attributes"].value == expected_attr
+
+    @patch.object(_win32_console, "SetConsoleTextAttribute")
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_write_styled_reverse(_, SetConsoleTextAttribute, win32_handle):
+        style = Style.parse("dim bright_red on blue")
+        text = "Hello, world!"
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.write_styled(text, style)
+
+        call_args = SetConsoleTextAttribute.call_args_list
+        first_args, first_kwargs = call_args[0]
+
+        expected_attr = 4 + 16  # 4 for red text (after dim), +16 for blue bg
+        assert first_args == (win32_handle,)
+        assert first_kwargs["attributes"].value == expected_attr
+
+    @patch.object(_win32_console, "SetConsoleTextAttribute")
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_write_styled_no_foreground_color(_, SetConsoleTextAttribute, win32_handle):
+        style = Style.parse("on blue")
+        text = "Hello, world!"
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.write_styled(text, style)
+
+        call_args = SetConsoleTextAttribute.call_args_list
+        first_args, first_kwargs = call_args[0]
+
+        expected_attr = 16 | term._default_fore  # 16 for blue bg, plus default fg color
+        assert first_args == (win32_handle,)
+        assert first_kwargs["attributes"].value == expected_attr
+
+    @patch.object(_win32_console, "SetConsoleTextAttribute")
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_write_styled_no_background_color(_, SetConsoleTextAttribute, win32_handle):
+        style = Style.parse("blue")
+        text = "Hello, world!"
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.write_styled(text, style)
+
+        call_args = SetConsoleTextAttribute.call_args_list
+        first_args, first_kwargs = call_args[0]
+
+        expected_attr = (
+            16 | term._default_back
+        )  # 16 for blue foreground, plus default bg color
+        assert first_args == (win32_handle,)
+        assert first_kwargs["attributes"].value == expected_attr
+
+    @patch.object(_win32_console, "FillConsoleOutputCharacter", return_value=None)
+    @patch.object(_win32_console, "FillConsoleOutputAttribute", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_erase_line(
+        _, FillConsoleOutputAttribute, FillConsoleOutputCharacter, win32_handle
+    ):
+        term = LegacyWindowsTerm(sys.stdout)
+        term.erase_line()
+        start = WindowsCoordinates(row=CURSOR_Y, col=0)
+        FillConsoleOutputCharacter.assert_called_once_with(
+            win32_handle, " ", length=SCREEN_WIDTH, start=start
+        )
+        FillConsoleOutputAttribute.assert_called_once_with(
+            win32_handle, DEFAULT_STYLE_ATTRIBUTE, length=SCREEN_WIDTH, start=start
+        )
+
+    @patch.object(_win32_console, "FillConsoleOutputCharacter", return_value=None)
+    @patch.object(_win32_console, "FillConsoleOutputAttribute", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_erase_end_of_line(
+        _, FillConsoleOutputAttribute, FillConsoleOutputCharacter, win32_handle
+    ):
+        term = LegacyWindowsTerm(sys.stdout)
+        term.erase_end_of_line()
+
+        FillConsoleOutputCharacter.assert_called_once_with(
+            win32_handle, " ", length=SCREEN_WIDTH - CURSOR_X, start=CURSOR_POSITION
+        )
+        FillConsoleOutputAttribute.assert_called_once_with(
+            win32_handle,
+            DEFAULT_STYLE_ATTRIBUTE,
+            length=SCREEN_WIDTH - CURSOR_X,
+            start=CURSOR_POSITION,
+        )
+
+    @patch.object(_win32_console, "FillConsoleOutputCharacter", return_value=None)
+    @patch.object(_win32_console, "FillConsoleOutputAttribute", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_erase_start_of_line(
+        _, FillConsoleOutputAttribute, FillConsoleOutputCharacter, win32_handle
+    ):
+        term = LegacyWindowsTerm(sys.stdout)
+        term.erase_start_of_line()
+
+        start = WindowsCoordinates(CURSOR_Y, 0)
+
+        FillConsoleOutputCharacter.assert_called_once_with(
+            win32_handle, " ", length=CURSOR_X, start=start
+        )
+        FillConsoleOutputAttribute.assert_called_once_with(
+            win32_handle, DEFAULT_STYLE_ATTRIBUTE, length=CURSOR_X, start=start
+        )
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_move_cursor_to(_, SetConsoleCursorPosition, win32_handle):
+        coords = WindowsCoordinates(row=4, col=5)
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.move_cursor_to(coords)
+
+        SetConsoleCursorPosition.assert_called_once_with(win32_handle, coords=coords)
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_move_cursor_to_out_of_bounds_row(
+        _, SetConsoleCursorPosition, win32_handle
+    ):
+        coords = WindowsCoordinates(row=-1, col=4)
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.move_cursor_to(coords)
+
+        assert not SetConsoleCursorPosition.called
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_move_cursor_to_out_of_bounds_col(
+        _, SetConsoleCursorPosition, win32_handle
+    ):
+        coords = WindowsCoordinates(row=10, col=-4)
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.move_cursor_to(coords)
+
+        assert not SetConsoleCursorPosition.called
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_move_cursor_up(_, SetConsoleCursorPosition, win32_handle):
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.move_cursor_up()
+
+        SetConsoleCursorPosition.assert_called_once_with(
+            win32_handle, coords=WindowsCoordinates(row=CURSOR_Y - 1, col=CURSOR_X)
+        )
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_move_cursor_down(_, SetConsoleCursorPosition, win32_handle):
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.move_cursor_down()
+
+        SetConsoleCursorPosition.assert_called_once_with(
+            win32_handle, coords=WindowsCoordinates(row=CURSOR_Y + 1, col=CURSOR_X)
+        )
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_move_cursor_forward(_, SetConsoleCursorPosition, win32_handle):
+        term = LegacyWindowsTerm(sys.stdout)
+
+        term.move_cursor_forward()
+
+        SetConsoleCursorPosition.assert_called_once_with(
+            win32_handle, coords=WindowsCoordinates(row=CURSOR_Y, col=CURSOR_X + 1)
+        )
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    def test_move_cursor_forward_newline_wrap(SetConsoleCursorPosition, win32_handle):
+        cursor_at_end_of_line = StubScreenBufferInfo(
+            dwCursorPosition=COORD(SCREEN_WIDTH - 1, CURSOR_Y)
+        )
+        with patch.object(
+            _win32_console,
+            "GetConsoleScreenBufferInfo",
+            return_value=cursor_at_end_of_line,
+        ):
+            term = LegacyWindowsTerm(sys.stdout)
+            term.move_cursor_forward()
+
+        SetConsoleCursorPosition.assert_called_once_with(
+            win32_handle, coords=WindowsCoordinates(row=CURSOR_Y + 1, col=0)
+        )
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_move_cursor_to_column(_, SetConsoleCursorPosition, win32_handle):
+        term = LegacyWindowsTerm(sys.stdout)
+        term.move_cursor_to_column(5)
+        SetConsoleCursorPosition.assert_called_once_with(
+            win32_handle, coords=WindowsCoordinates(CURSOR_Y, 5)
+        )
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_move_cursor_backward(_, SetConsoleCursorPosition, win32_handle):
+        term = LegacyWindowsTerm(sys.stdout)
+        term.move_cursor_backward()
+        SetConsoleCursorPosition.assert_called_once_with(
+            win32_handle, coords=WindowsCoordinates(row=CURSOR_Y, col=CURSOR_X - 1)
+        )
+
+    @patch.object(_win32_console, "SetConsoleCursorPosition", return_value=None)
+    def test_move_cursor_backward_prev_line_wrap(
+        SetConsoleCursorPosition, win32_handle
+    ):
+        cursor_at_start_of_line = StubScreenBufferInfo(
+            dwCursorPosition=COORD(0, CURSOR_Y)
+        )
+        with patch.object(
+            _win32_console,
+            "GetConsoleScreenBufferInfo",
+            return_value=cursor_at_start_of_line,
+        ):
+            term = LegacyWindowsTerm(sys.stdout)
+            term.move_cursor_backward()
+        SetConsoleCursorPosition.assert_called_once_with(
+            win32_handle,
+            coords=WindowsCoordinates(row=CURSOR_Y - 1, col=SCREEN_WIDTH - 1),
+        )
+
+    @patch.object(_win32_console, "SetConsoleCursorInfo", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_hide_cursor(_, SetConsoleCursorInfo, win32_handle):
+        term = LegacyWindowsTerm(sys.stdout)
+        term.hide_cursor()
+
+        call_args = SetConsoleCursorInfo.call_args_list
+
+        assert len(call_args) == 1
+
+        args, kwargs = call_args[0]
+        assert kwargs["cursor_info"].bVisible == 0
+        assert kwargs["cursor_info"].dwSize == 100
+
+    @patch.object(_win32_console, "SetConsoleCursorInfo", return_value=None)
+    @patch.object(
+        _win32_console, "GetConsoleScreenBufferInfo", return_value=StubScreenBufferInfo
+    )
+    def test_show_cursor(_, SetConsoleCursorInfo, win32_handle):
+        term = LegacyWindowsTerm(sys.stdout)
+        term.show_cursor()
+
+        call_args = SetConsoleCursorInfo.call_args_list
+
+        assert len(call_args) == 1
+
+        args, kwargs = call_args[0]
+        assert kwargs["cursor_info"].bVisible == 1
+        assert kwargs["cursor_info"].dwSize == 100
+
+    @patch.object(_win32_console, "SetConsoleTitle", return_value=None)
+    def test_set_title(SetConsoleTitle):
+        term = LegacyWindowsTerm(sys.stdout)
+        term.set_title("title")
+
+        SetConsoleTitle.assert_called_once_with("title")
+
+    @patch.object(_win32_console, "SetConsoleTitle", return_value=None)
+    def test_set_title_too_long(_):
+        term = LegacyWindowsTerm(sys.stdout)
+
+        with pytest.raises(AssertionError):
+            term.set_title("a" * 255)
diff --git a/tests/test_windows_renderer.py b/tests/test_windows_renderer.py
new file mode 100644
index 0000000000..bc24ae95ec
--- /dev/null
+++ b/tests/test_windows_renderer.py
@@ -0,0 +1,141 @@
+import sys
+from unittest.mock import call, create_autospec
+
+import pytest
+
+try:
+    from rich._win32_console import LegacyWindowsTerm, WindowsCoordinates
+    from rich._windows_renderer import legacy_windows_render
+except:
+    # These modules can only be imported on Windows
+    pass
+from rich.segment import ControlType, Segment
+from rich.style import Style
+
+pytestmark = pytest.mark.skipif(sys.platform != "win32", reason="windows only")
+
+
+@pytest.fixture
+def legacy_term_mock():
+    return create_autospec(LegacyWindowsTerm)
+
+
+def test_text_only(legacy_term_mock):
+    text = "Hello, world!"
+    buffer = [Segment(text)]
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.write_text.assert_called_once_with(text)
+
+
+def test_text_multiple_segments(legacy_term_mock):
+    buffer = [Segment("Hello, "), Segment("world!")]
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    assert legacy_term_mock.write_text.call_args_list == [
+        call("Hello, "),
+        call("world!"),
+    ]
+
+
+def test_text_with_style(legacy_term_mock):
+    text = "Hello, world!"
+    style = Style.parse("black on red")
+    buffer = [Segment(text, style)]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.write_styled.assert_called_once_with(text, style)
+
+
+def test_control_cursor_move_to(legacy_term_mock):
+    buffer = [Segment("", None, [(ControlType.CURSOR_MOVE_TO, 20, 30)])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.move_cursor_to.assert_called_once_with(
+        WindowsCoordinates(row=29, col=19)
+    )
+
+
+def test_control_carriage_return(legacy_term_mock):
+    buffer = [Segment("", None, [(ControlType.CARRIAGE_RETURN,)])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.write_text.assert_called_once_with("\r")
+
+
+def test_control_home(legacy_term_mock):
+    buffer = [Segment("", None, [(ControlType.HOME,)])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.move_cursor_to.assert_called_once_with(WindowsCoordinates(0, 0))
+
+
+@pytest.mark.parametrize(
+    "control_type, method_name",
+    [
+        (ControlType.CURSOR_UP, "move_cursor_up"),
+        (ControlType.CURSOR_DOWN, "move_cursor_down"),
+        (ControlType.CURSOR_FORWARD, "move_cursor_forward"),
+        (ControlType.CURSOR_BACKWARD, "move_cursor_backward"),
+    ],
+)
+def test_control_cursor_single_cell_movement(
+    legacy_term_mock, control_type, method_name
+):
+    buffer = [Segment("", None, [(control_type,)])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    getattr(legacy_term_mock, method_name).assert_called_once_with()
+
+
+@pytest.mark.parametrize(
+    "erase_mode, method_name",
+    [
+        (0, "erase_end_of_line"),
+        (1, "erase_start_of_line"),
+        (2, "erase_line"),
+    ],
+)
+def test_control_erase_line(legacy_term_mock, erase_mode, method_name):
+    buffer = [Segment("", None, [(ControlType.ERASE_IN_LINE, erase_mode)])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    getattr(legacy_term_mock, method_name).assert_called_once_with()
+
+
+def test_control_show_cursor(legacy_term_mock):
+    buffer = [Segment("", None, [(ControlType.SHOW_CURSOR,)])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.show_cursor.assert_called_once_with()
+
+
+def test_control_hide_cursor(legacy_term_mock):
+    buffer = [Segment("", None, [(ControlType.HIDE_CURSOR,)])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.hide_cursor.assert_called_once_with()
+
+
+def test_control_cursor_move_to_column(legacy_term_mock):
+    buffer = [Segment("", None, [(ControlType.CURSOR_MOVE_TO_COLUMN, 3)])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.move_cursor_to_column.assert_called_once_with(2)
+
+
+def test_control_set_terminal_window_title(legacy_term_mock):
+    buffer = [Segment("", None, [(ControlType.SET_WINDOW_TITLE, "Hello, world!")])]
+
+    legacy_windows_render(buffer, legacy_term_mock)
+
+    legacy_term_mock.set_title.assert_called_once_with("Hello, world!")
diff --git a/tools/make_emoji.py b/tools/make_emoji.py
index b23803d501..3a5f2d7979 100644
--- a/tools/make_emoji.py
+++ b/tools/make_emoji.py
@@ -1,5 +1,3 @@
-from unicodedata import normalize
-
 try:
     import emoji
 except ImportError:
diff --git a/tools/profile_divide.py b/tools/profile_divide.py
new file mode 100644
index 0000000000..73c20294c2
--- /dev/null
+++ b/tools/profile_divide.py
@@ -0,0 +1,14 @@
+from rich.segment import Segment
+
+text = """Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum."""
+
+
+segments = [Segment(text[n : n + 7]) for n in range(0, len(text), 7)]
+
+
+from time import perf_counter
+
+start = perf_counter()
+for _ in range(10000):
+    list(Segment.divide(segments, [0, 1, 20, 24, 65, len(text)]))
+print(perf_counter() - start)