+ If you have deployed a VM using the 'Deploy to Azure' button on the Quick Start page, all the steps below have already been performed and your database on that machine has all the resulting tables and stored procedures. You can explore this solution in more detail by examining the folders and running Python or stored procedures to re-create the model, or skip to trying out the model in the included [Jupyter notebook](jupyter.html).
+
+
+
+If you are configuring your own server, continue with the steps below to run the PowerShell script.
+
+## Setup
+-----------
+
+First, make sure you have set up your SQL Server by following these instructions. Then proceed with the steps below to run the solution template using the automated PowerShell file.
+
+## Execute PowerShell Script
+----------------------------
+
+Running this PowerShell script will create the data tables and stored procedures for the the operationalization of this solution in R in the `{{ site.db_name }}` database. It will also execute these procedures to create full database with results of the steps – dataset creation, modeling, and scoring as described [here](dba.html).
+
+
+1. Log onto the machine that contains the SQL Server you wish to use.
+
+1. Install [Git](https://gitforwindows.org/) if it is not already present. During the install, check the box to add LFS support.
+
+2. Download TextClassificationSetup.ps1 to your computer.
+
+3. Open a command or PowerShell window as Administrator.
+
+4. CD to the directory where you downloaded the above .ps1 file and execute the command:
+
+ .\TextClassificationSetup.ps1
+
+5. Answer the prompts if any.
+
+This will make the following modification to your SQL Server:
+
+* Creates the SLQRUserGroup for running R and Python code.
+* Reconfigures SQL Server to allow running of external scripts.
+* Installs the latest SQL Server 2017 Cumulative Update if no updates have been installed (this solution requires at least CU1 to run successfully).
+* Clones the solution code and data into the c:\Solutions\{{ site.folder_name }} directory.
+* Creates the solution databases `{{ site.db_name }}_R` and `{{ site.db_name }}_Py`
+* Runs the solution workflow to populate all database tables.
+
+
+If you wish to run the solution code on a different computer than SQL Server machine, see Setup for Local Code Execution.
+
+
+## Review Data
+--------------
+
+Once the PowerShell script has completed successfully, log into the SQL Server Management Studio to view all the datasets that have been created in the `{{ site.db_name }}_R` or `{{ site.db_name }}_Py` databases.
+Hit `Refresh` if necessary.
+
+[Click here](tables.html) to view the details all tables created in this solution.
+
diff --git a/SetupSQL.md b/SetupSQL.md
new file mode 100644
index 0000000..a12a1d9
--- /dev/null
+++ b/SetupSQL.md
@@ -0,0 +1,46 @@
+---
+layout: default
+title: "On-Prem: Setup SQL Server 2017"
+---
+
+## On-Prem: Setup SQL Server
+--------------------------
+
+
+ The instructions on this page will help you to add this solution to your on premises SQL Server 2016 or higher.
+
+ If you instead would like to try this solution out on a virtual machine, visit the Quick Start page and use the 'Deploy to Azure' button. All the configuration described below will be done for you, as well as the initial deployment of the solution.
+
+
+
+## Prepare your SQL Server Installation
+-------------------------------------------
+
+The rest of this page assumes you are configuring your on premises SQL Server 2016 or 2017 for this solution.
+
+If you need a trial version of SQL Server see [What's New in SQL Server 2017](https://docs.microsoft.com/en-us/sql/sql-server/what-s-new-in-sql-server-2017) for download or VM options.
+
+Complete the steps in the Set up Microsoft Machine Learning Services (In-Database) Instructions. The set up instructions file can found at https://docs.microsoft.com/en-us/sql/advanced-analytics/install/sql-r-services-windows-install
+
+Make sure to install both SQL and Standalone version of R and Python.
+
+
+### Ready to Run Code
+---------------------
+
+You are now ready to run the code for this solution.
+
+* Install the solution by following these PowerShell Instructions for deployment.
+
+* Typically a data scientist will create and test a predictive model from their favorite R IDE, at which point the models will be stored in SQL Server and then scored in production using Transact-SQL (T-SQL) stored procedures.
+You can follow along with this by following the steps in [For the Data Scientist](data-scientist.html) or [For the Database Analyst](dba.html).
+
+
+
\ No newline at end of file
diff --git a/_config.yml b/_config.yml
new file mode 100644
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--- /dev/null
+++ b/_config.yml
@@ -0,0 +1,19 @@
+author:
+ name: Microsoft
+
+description: Text Classificaion using SQL Server + ML Services with R or Python
+# names
+solution_name: TextClassification
+folder_name: TextClassification
+db_name: TextClassification
+ps1_name: TextClassificationSetup.ps1
+pbix_name: TextClassification.pbix
+
+cig_text: SQL Server VM on Azure
+onp_text: SQL Server On-Premises
+
+# urls
+code_url: "https://github.com/Microsoft/ml-server-text-classification"
+website_url: "https://microsoft.github.io/ml-server-text-classification/"
+aka_url: "http://aka.ms/text-classification"
+
diff --git a/_includes/finalsteps.md b/_includes/finalsteps.md
new file mode 100644
index 0000000..e7d6f94
--- /dev/null
+++ b/_includes/finalsteps.md
@@ -0,0 +1,25 @@
+
+
+### Step 4: Visualize the Results
+-------------------------
+The Power BI file **TextClassification.pbix** included with this solution can be used to visualize how the model performs.
+
+On the `Training Summary` tab, you can see the predicted and actual labels for the Test data, along with the Micro Average Accuracy and Macro Average Accuracy values.
+
+
+
+On the `Scoring New Text` tab you can view the predicted labels for new text.
+
+
+
+## Template Contents
+---------------------
+
+[View the contents of this solution template](contents.html).
+
+
+To try this out yourself:
+
+* View the [Quick Start](quick.html).
+
+[< Home](index.html)
diff --git a/_includes/inputdata.html b/_includes/inputdata.html
new file mode 100644
index 0000000..3493aa0
--- /dev/null
+++ b/_includes/inputdata.html
@@ -0,0 +1 @@
+This solution uses a preprocessed version of [NewsGroups20](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html), containing a Subject, a Text, and a Label. It has a similar structure to a support ticket data set which would also have two data fields: Title, and Problem description. Thus, you can easily change this solution to use your support ticket data simply by providing the same structure for the test and train datasets.
diff --git a/_includes/pysetup.html b/_includes/pysetup.html
new file mode 100644
index 0000000..7c575ac
--- /dev/null
+++ b/_includes/pysetup.html
@@ -0,0 +1,9 @@
+
Debra would work on her own machine, using Machine Learning Services with Python to execute these Python scripts. In case you want to run the code from the VM, ML Services Python has already been installed.
+
+
The Python code is present in the {{site.folder_name}}/Python directory.
+
+Follow these instructions to view and execute the Python code with the Jupyter Notebook.
+
+You can also execute the Python code with an IDE. Both PyCharms and Visual Studio are installed on your VM. For each, you must first configure the Python interpreter to use C:\Program Files\Microsoft\ML Server\PYTHON_SERVER\python.exe.
\ No newline at end of file
diff --git a/_includes/requirements.md b/_includes/requirements.md
new file mode 100644
index 0000000..39eafc8
--- /dev/null
+++ b/_includes/requirements.md
@@ -0,0 +1,5 @@
+Running the R or Python scripts requires the following:
+
+ * SQL server 2017 with RevoscalePy (version 9.2) and MicrosoftML (version 1.5.0) installed and configured;
+* SQL Database which the user has write permission and execute stored procedures;
+* For more information about Machine Learning Services in SQL Server, please visit: [https://docs.microsoft.com/en-us/sql/advanced-analytics/what-s-new-in-sql-server-machine-learning-services](https://docs.microsoft.com/en-us/sql/advanced-analytics/what-s-new-in-sql-server-machine-learning-services)
diff --git a/_layouts/default.html b/_layouts/default.html
new file mode 100644
index 0000000..57bf580
--- /dev/null
+++ b/_layouts/default.html
@@ -0,0 +1,85 @@
+
+
+
+
+
+ {{ page.title }}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
{{ site.solution_name }}
+
Implemented with Microsoft Machine Learning Services
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/contents.md b/contents.md
new file mode 100644
index 0000000..0b1dd2b
--- /dev/null
+++ b/contents.md
@@ -0,0 +1,106 @@
+---
+layout: default
+title: Template Contents
+---
+
+## Template Contents
+--------------------
+
+The following is the directory structure for this template:
+
+- [**Data**](#data) This contains Data for scoring. Other data is downloaded during the solution workflow
+- [**R**](#model-development-in-R) This contains the R code to prepare training/testing/evaluation set, train the multi-class classifier and evaluate the model.
+- [**Python**](#model-development-in-python) This contains the Python code to prepare training/testing/evaluation set, train the multi-class classifier and evaluate the model.
+- [**SQLR**](#operationalize-in-sql-r ) Stored procedures in SQL implement the model training workflow with R code.
+- [**SQLPy**](#operationalize-in-sql-python ) Stored procedures in SQL implement the model training workflow with Python code.
+- [**Resources**](#resources-for-the-solution-packet) This directory contains other resources for the solution package.
+
+
+
+
+### Data
+----------------------------
+Data for training and testing will also be downloaded and added to this directory, so more files will be present once the solution has been run once.
+
+
File
Description
+
News_To_Score
Text file containing new data for scoring.
+
+
+### Model Development in R
+-------------------------
+
+
+
File
Description
+
TextClassificationR.ipynb
Create features on the fly for the training and testing set, train model, make predictions, and evaluate the model in Jupyter notebook.
+
run_modeling_main.R
Create features on the fly for the training and testing set, train model, make predictions, and evaluate the model.
+
+
+* See [For the Data Scientist](data_scientist.html) for more details about these files.
+
+
+### Operationalize in SQL R
+-------------------------------------------------------
+Stored procedures in SQL implement the model training workflow with R code.
+
+
+
File
Description
+
Load_Data.ps1
Loads all data for the solution if you'd like to create a second instance of the solution on the same server
+
execute_yourself.sql
Runs through all the steps of the solution
+
step0_create_tables.sql
Create data tables, invoked in Load_Data.ps1
+
step1_create_features_train.sql
Create features on the fly and train model
+
step2_score.sql
Scores data with model created in step1
+
step3_evaluate.sql
Evaluates model created in step1
+
+
+* See [ For the Database Analyst](dba.html) for more information.
+* Follow the [PowerShell Instructions](Powershell_Instructions.html) to execute the PowerShell script which creates these stored procedures.
+
+### Model Development in Python
+-------------------------
+
+
+
File
Description
+
TextClassificationR.ipynb
Create features on the fly for the training and testing set, train model, make predictions, and evaluate the model in Jupyter notebook.
+
run_modeling_main.py
Create features on the fly for the training and testing set, train model, make predictions, and evaluate the model.
+
+
+
+* See [For the Data Scientist](data_scientist.html) for more details about these files.
+
+
+### Operationalize in SQL Python
+-------------------------------------------------------
+Stored procedures in SQL implement the model training workflow with Python code.
+
+
+
File
Description
+
Load_Data.ps1
Loads all data for the solution if you'd like to create a second instance of the solution on the same server
+
execute_yourself.sql
Runs through all the steps of the solution
+
step0_create_tables.sql
Create data tables, invoked in Load_Data.ps1
+
step1_create_features_train.sql
Create features on the fly and train model
+
step2_score.sql
Scores data with model created in step1
+
step3_evaluate.sql
Evaluates model created in step1
+
+
+* See [ For the Database Analyst](dba.html) for more information.
+* Follow the [PowerShell Instructions](Powershell_Instructions.html) to execute the PowerShell script which creates these stored procedures.
+
+### Resources for the Solution Package
+------------------------------------
+
+
+
File
Description
+
+
.\Resources\ActionScripts\ConfigureSQL.ps1
Configures SQL, called from SetupVM.ps1
+
.\Resources\ActionScripts\CreateDatabase.sql
Creates the database for this solution, called from ConfigureSQL.ps1
+
.\Resources\ActionScripts\CreateSQLObjectsPy.sql
Creates the tables and stored procedures for this solution, called from ConfigureSQL.ps1
+
.\Resources\ActionScripts\CreateSQLObjectsR.sql
Creates the tables and stored procedures for this solution, called from ConfigureSQL.ps1
+
+
+
+
+[< Home](index.html)
diff --git a/data-scientist.md b/data-scientist.md
new file mode 100644
index 0000000..831286e
--- /dev/null
+++ b/data-scientist.md
@@ -0,0 +1,132 @@
+---
+layout: default
+title: For the images Scientist
+---
+
+## For the Data Scientist - Develop with R or Python
+----------------------------
+
+
+ Microsoft Machine Learning Services provide an extensible, scalable platform for integrating machine learning tasks and tools with the applications that consume machine learning services. It includes a database service that runs outside the SQL Server process and communicates securely with R and Python.
+
+ This solution package shows how to pre-process data (cleaning and feature engineering), train prediction models, and perform scoring on the SQL Server machine in either R or Python.
+
+
+
+When a customer sends a support ticket, it is important to route it to the right team in order to examine the issue and solve it in the fastest way possible. We use sample data containing a Subject, a Text, and a Label to build a machine learning model that can predict a label for new incoming data.
+
+This solution takes advantage of the power of SQL Server and RevoScaleR and RevoScalePy. The tables are all stored in a SQL Server, and most of the computations are done by loading chunks of data in-memory instead of the whole dataset.
+
+All these steps can be executed in a R or Python IDE, and are then operationalized into SQL Server Stored Procedures. Scoring of new data is then performed in SQL Server.
+
+Scientists who are testing and developing solutions can work from the convenience of their preferred IDE on their client machine, while setting the computation context to SQL (see **R** or **Python** folder for code). They can also deploy the completed solutions to SQL Server 2017 by embedding calls to R or Python in stored procedures. These solutions can then be further automated by the use of SQL Server Integration Services and SQL Server agent: a PowerShell script (.ps1 file) automates the running of the SQL code.
+
+
+
+## {{ site.solution_name }}
+--------------------------
+
+To try this out yourself, see the [Quick Start](quick.html) section on the main page.
+
+This page describes what happens in each of the steps.
+
+
+## System Requirements
+--------------------------
+
+ {% include requirements.md %}
+
+This code was tested using SQL Server 2017, and assumes that SQL Server with ML Services was installed. The installation process can be found [here](setupSQL.html).
+
+## Data
+--------------------------
+
+{% include inputdata.html %}
+
+[Click here](tables.html) to view the SQL database tables created in this solution.
+
+## Workflow
+
+The file **R/modeling_main.R** or **Python/modeling_main.py** enables the user to define the input and perform all the steps. Inputs are: paths to the raw data files, database name, server name, username and password.
+The database is created if necessary, and the connection string as well as the SQL compute context are defined.
+
+The steps below describe the process which applies identically to the R or Python code.
+
+
+
+### Step 1: Loading the data to SQL Server
+-------------------------
+
+The NewsGroups20 data has already been downloaded and preprocessed in R and Python, then saved to disk. The raw data has been uploaded to SQL Server. It consists of:
+
+* News_Train: Training set.
+* News_Test: Testing set.
+* Label_Names: Link between the Label integers and the Label names.
+
+The preprocessing consists of:
+
+* Separating the Subject from the rest of the text in the text variable. This creates two separate text variables: "Subject" and "Text". In this context, the data set has a similar structure to a Support Ticket classification problem.
+* Remove unnecessary words or special characters ("\t", "\n" etc.).
+* Remove rows with an empty text body.
+* Add an Id variable.
+
+
+
+### Step 2: Create features on the fly for the training set and train the model
+------------------------
+
+For feature engineering, we want to featurize the text variables in the data: Subject and Text.
+The Subject and Text are featurized separately in order to give to the words in the Subject the same weight as those in the Text. This approach is also applicable to Support ticket Classification problems.
+
+For each of the Subject and the Text separately, we:
+
+* Remove stopwords, diacritics, punctuation and numbers.
+* Change capital letters to lower case.
+* Hash the different words and characters.
+
+The parameters or options can be further optimized by parameter sweeping.
+
+This is done by following these steps:
+
+1. Get the factor levels of the label in the order of encounter based on the Id, serialize them, and save them to SQL Server for future use.
+
+2. Define the text transformation to be used to generate features, in the form of a list. It will be applied on the fly during training and testing.
+
+3. Train a multiclass logistic regression on the training set, using the text transformation list.
+
+The model trained is then serialized and saved to SQL Server for future use.
+
+
+
+### Step 3: Create features on the fly for the testing set, make predictions, and evaluate the model
+-------------------------
+
+In the same fashion, we call the prediction function on the testing set News_Test. It makes predictions while featurizing the text variables (Subject and Text) separately on the fly. This will automatically use the same text transformation as in the training, encoded in logistic_model.
+
+Once we get the predictions, we perform an inner join with the "Label_Names" table in order to get the names of the predicted labels.
+
+Finally, we compute performance metrics in order to evaluate the model for this multi-class classification problem.
+
+* Micro Average Accuracy: It is the overall accuracy, which corresponds to the number of correct class predictions divided by the total number of observations in the testing set (ie. rate of correct classification). In this sense, performing poorly on some rare classes but very accurately predicting the rest might still give a good result.
+* Macro Average Accuracy: It corresponds to the average of the per-class accuracy. In this sense, it treats all the classes equally, even if some of the classes are rare.
+
+These two metrics should thus be analyzed together, especially in the case of class imbalances.
+
+{% include finalsteps.md %}
\ No newline at end of file
diff --git a/dba.md b/dba.md
new file mode 100644
index 0000000..9051d7b
--- /dev/null
+++ b/dba.md
@@ -0,0 +1,130 @@
+---
+layout: default
+title: For the Database Analyst
+---
+
+## For the Database Analyst - Operationalize with SQL
+------------------------------
+
+
+ Microsoft Machine Learning Services provide an extensible, scalable platform for integrating machine learning tasks and tools with the applications that consume machine learning services. It includes a database service that runs outside the SQL Server process and communicates securely with R and Python.
+
+ This solution package shows how to pre-process data (cleaning and feature engineering), train prediction models, and perform scoring on the SQL Server machine with stored procedures which includes Python code.
+
+
+When a customer sends a support ticket, it is important to route it to the right team in order to examine the issue and solve it in the fastest way possible. We use sample data containing a Subject, a Text, and a Label to build a machine learning model that can predict a label for new incoming data.
+
+This solution takes advantage of the power of SQL Server and RevoScaleR and RevoScalePy. The tables are all stored in a SQL Server, and most of the computations are done by loading chunks of data in-memory instead of the whole dataset.
+
+All the steps can be executed on SQL Server client environment (SQL Server Management Studio). We provide a Windows PowerShell script which invokes the SQL scripts and demonstrates the end-to-end modeling process.
+
+## System Requirements
+-----------------------
+
+ {% include requirements.md %}
+
+
+## Workflow Automation
+-------------------
+Follow the [PowerShell instructions](Powershell_Instructions.html) to execute all the scripts described below. [Click here](tables.html) to view the SQL database tables created in this solution.
+
+The SQL Stored procedure `Initial_Run_Once_R` or `Initial_Run_Once_Py` `{{ site.db_name }}_R` or `{{ site.db_name }}_Py` database, respectively, can be used to re-run all the steps below
+
+
+
+### Step 0: Creating Tables
+-------------------------
+
+In this step, we create four tables, `News_Train`, `News_Test`, `News_To_Score`, and `Label_Names` in a SQL Server database, and the data is uploaded to these tables using bulkcopy process from PowerShell.
+
+In the PowerShell script, the python script "download_data.py" in the Data folder is executed. It downloads and preprocesses the data, then save it to disk. Data is then uploaded to the SQL Tables through a bulkcopy process.
+
+
+
+### Step 1: Create features on the fly for the training set and train the model
+-------------------------
+
+For feature engineering, we want to featurize the text variables in the data: Subject and Text.
+The Subject and Text are featurized separately in order to give to the words in the Subject the same weight as those in the Text. This approach is also applicable to Support Tiket Classification problems.
+
+For each of the Subject and the Text separately, we:
+
+* Remove stopwords, diacritics, punctuation and numbers.
+* Change capital letters to lower case.
+* Hash the different words and characters.
+
+The parameters or options can be further optimized by parameter sweeping.
+
+This is done by following these steps:
+
+1. Get the factor levels of the label in the order of encounter based on the Id, serialize them, and save them to SQL Server for future use.
+
+2. Define the text transformation to be used to generate features, in the form of a list. It will be applied on the fly during training and testing.
+
+3. Train a multiclass logistic regression on the training set, using the text transformation list.
+
+The model trained is then serialized and saved to SQL Server for future use.
+
+**Example:**
+
+ exec [dbo].[train_model] @model_key = 'LR';
+
+
+
+### Step 2: Create features on the fly for the testing set and make predictions
+-------------------------
+
+In the same fashion, we call the prediction function on the testing set News_Test. It makes predictions while featurizing the text variables (Subject and Text) separately on the fly. This will automatically use the same text transformation as in the training, encoded in logistic_model.
+
+Once we get the predictions, we perform an inner join with the "Label_Names" table in order to get the names of the predicted labels.
+
+This is done through the stored procedure "[dbo].[score]". It takes as inputs the name of the table with the data set to score, and the name of the table that will hold the output predictions.
+
+**Example:**
+
+ exec [dbo].[score] @input = 'News_Test', @output = 'Predictions', @model_key = 'LR'
+
+
+
+### Step 3: Evaluate the model
+-------------------------
+
+Finally, we compute performance metrics in order to evaluate the model for this multi-class classification problem.
+
+* Micro Average Accuracy: It is the overall accuracy, which corresponds to the number of correct class predictions divided by the total number of observations in the testing set (ie. rate of correct classification). In this sense, performing poorly on some rare classes but very accurately predicting the rest might still give a good result.
+
+* Macro Average Accuracy: It corresponds to the average of the per-class accuracy. In this sense, it treats all the classes equally, even if some of the classes are rare.
+
+These two metrics should thus be analyzed together, especially in the case of class imbalances.
+
+This is done through the stored procedure `[dbo].[evaluate]`, which takes as an input the name of the table holding the predictions.
+
+**Example:**
+
+ exec [dbo].[evaluate] @predictions_table = 'Predictions', @model_key = 'LR'
+
+After evaluating the model, predictions are made on a new data set, News_To_Score.
+
+**Example:**
+
+ exec [dbo].[score] @input = 'News_To_Score', @output = 'Predictions_New', @model_key = 'LR'
+
+These new records can be seen in the second tab of the PowerBI report.
+
+{% include finalsteps.md %}
\ No newline at end of file
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+++ b/index.md
@@ -0,0 +1,22 @@
+---
+layout: default
+title: HOME
+---
+
+Are you unable to connect to your Virtual Machine? See this important information for
+how to resolve.
+
+
+When a customer sends a support ticket, it is important to route it to the right team to examine the issue and solve it in the fastest way possible. This solution trains a model to classify text data. It uses a preprocessed version of [NewsGroups20](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html), containing a Subject (extracted from the raw text data), a Text, and a Label (20 classes). While this is not support ticket data, it has a similar structure to a support ticket data set which would also have two data fields: Title and Problem description.
+
+The preprocessed training and testing sets are first uploaded to SQL Server. Text featurization is then defined. It consists of removing punctuation, diacritics, numbers, and predefined stopwords, then hashing the 2-gram words and 3-gram characters. The Subject and Text are featurized separately in order to give the words in the Subject as much weight as those in the Text, which is larger. Treating those two variables separately has proven to increase slightly the models predictive power in our experiments.
+
+A multiclass logistic regression is then trained on the training set, which is featurized on the fly. The model is saved to SQL Server, and then used to make predictions on the testing set, which is also featurized on the fly at the time of the predictions. Finally, the model is evaluated through the computation of micro and macro average accuracy.
+
+For customers who prefer an on-premise solution, the implementation with Microsoft Machine Learning Services is a great option that takes advantage of the powerful combination of SQL Server and the R and Python languages. We have modeled the steps in the template after a realistic team collaboration on a data science process. Data scientists do the data preparation, model training, and evaluation from their favorite IDE. DBAs can take care of the deployment using SQL stored procedures with embedded code. We also show how each of these steps can be executed on a SQL Server client environment such as SQL Server Management Studio. A Windows PowerShell script that executes the end-to-end setup and modeling process is provided for convenience.
+
+This solution starts with data stored in SQL Server. The data scientist works from the convenience of an IDE on her client machine, while setting the computation context to SQL. When she is done, her code is operationalized as stored procedures in the SQL Database.
+
+New data is scored using the `score` stored procedure in SQL. You can view the predicted labels in the output table `Predicted_New`, or visualize both test and new data and predicted labels in the {{site.pbix_name}} file.
+
+
diff --git a/input_data.md b/input_data.md
new file mode 100644
index 0000000..c5d7aa8
--- /dev/null
+++ b/input_data.md
@@ -0,0 +1,7 @@
+---
+layout: default
+title: Input Data
+---
+
+
+{% include inputdata.html %}
diff --git a/js/bootstrap.js b/js/bootstrap.js
new file mode 100644
index 0000000..2568773
--- /dev/null
+++ b/js/bootstrap.js
@@ -0,0 +1,3535 @@
+/*!
+ * Bootstrap v4.0.0-alpha.6 (https://getbootstrap.com)
+ * Copyright 2011-2017 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ */
+
+if (typeof jQuery === 'undefined') {
+ throw new Error('Bootstrap\'s JavaScript requires jQuery. jQuery must be included before Bootstrap\'s JavaScript.')
+}
+
++function ($) {
+ var version = $.fn.jquery.split(' ')[0].split('.')
+ if ((version[0] < 2 && version[1] < 9) || (version[0] == 1 && version[1] == 9 && version[2] < 1) || (version[0] >= 4)) {
+ throw new Error('Bootstrap\'s JavaScript requires at least jQuery v1.9.1 but less than v4.0.0')
+ }
+}(jQuery);
+
+
++function () {
+
+var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; };
+
+var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
+
+function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; }
+
+function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; }
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): util.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Util = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Private TransitionEnd Helpers
+ * ------------------------------------------------------------------------
+ */
+
+ var transition = false;
+
+ var MAX_UID = 1000000;
+
+ var TransitionEndEvent = {
+ WebkitTransition: 'webkitTransitionEnd',
+ MozTransition: 'transitionend',
+ OTransition: 'oTransitionEnd otransitionend',
+ transition: 'transitionend'
+ };
+
+ // shoutout AngusCroll (https://goo.gl/pxwQGp)
+ function toType(obj) {
+ return {}.toString.call(obj).match(/\s([a-zA-Z]+)/)[1].toLowerCase();
+ }
+
+ function isElement(obj) {
+ return (obj[0] || obj).nodeType;
+ }
+
+ function getSpecialTransitionEndEvent() {
+ return {
+ bindType: transition.end,
+ delegateType: transition.end,
+ handle: function handle(event) {
+ if ($(event.target).is(this)) {
+ return event.handleObj.handler.apply(this, arguments); // eslint-disable-line prefer-rest-params
+ }
+ return undefined;
+ }
+ };
+ }
+
+ function transitionEndTest() {
+ if (window.QUnit) {
+ return false;
+ }
+
+ var el = document.createElement('bootstrap');
+
+ for (var name in TransitionEndEvent) {
+ if (el.style[name] !== undefined) {
+ return {
+ end: TransitionEndEvent[name]
+ };
+ }
+ }
+
+ return false;
+ }
+
+ function transitionEndEmulator(duration) {
+ var _this = this;
+
+ var called = false;
+
+ $(this).one(Util.TRANSITION_END, function () {
+ called = true;
+ });
+
+ setTimeout(function () {
+ if (!called) {
+ Util.triggerTransitionEnd(_this);
+ }
+ }, duration);
+
+ return this;
+ }
+
+ function setTransitionEndSupport() {
+ transition = transitionEndTest();
+
+ $.fn.emulateTransitionEnd = transitionEndEmulator;
+
+ if (Util.supportsTransitionEnd()) {
+ $.event.special[Util.TRANSITION_END] = getSpecialTransitionEndEvent();
+ }
+ }
+
+ /**
+ * --------------------------------------------------------------------------
+ * Public Util Api
+ * --------------------------------------------------------------------------
+ */
+
+ var Util = {
+
+ TRANSITION_END: 'bsTransitionEnd',
+
+ getUID: function getUID(prefix) {
+ do {
+ // eslint-disable-next-line no-bitwise
+ prefix += ~~(Math.random() * MAX_UID); // "~~" acts like a faster Math.floor() here
+ } while (document.getElementById(prefix));
+ return prefix;
+ },
+ getSelectorFromElement: function getSelectorFromElement(element) {
+ var selector = element.getAttribute('data-target');
+
+ if (!selector) {
+ selector = element.getAttribute('href') || '';
+ selector = /^#[a-z]/i.test(selector) ? selector : null;
+ }
+
+ return selector;
+ },
+ reflow: function reflow(element) {
+ return element.offsetHeight;
+ },
+ triggerTransitionEnd: function triggerTransitionEnd(element) {
+ $(element).trigger(transition.end);
+ },
+ supportsTransitionEnd: function supportsTransitionEnd() {
+ return Boolean(transition);
+ },
+ typeCheckConfig: function typeCheckConfig(componentName, config, configTypes) {
+ for (var property in configTypes) {
+ if (configTypes.hasOwnProperty(property)) {
+ var expectedTypes = configTypes[property];
+ var value = config[property];
+ var valueType = value && isElement(value) ? 'element' : toType(value);
+
+ if (!new RegExp(expectedTypes).test(valueType)) {
+ throw new Error(componentName.toUpperCase() + ': ' + ('Option "' + property + '" provided type "' + valueType + '" ') + ('but expected type "' + expectedTypes + '".'));
+ }
+ }
+ }
+ }
+ };
+
+ setTransitionEndSupport();
+
+ return Util;
+}(jQuery);
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): alert.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Alert = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'alert';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.alert';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var DATA_API_KEY = '.data-api';
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+ var TRANSITION_DURATION = 150;
+
+ var Selector = {
+ DISMISS: '[data-dismiss="alert"]'
+ };
+
+ var Event = {
+ CLOSE: 'close' + EVENT_KEY,
+ CLOSED: 'closed' + EVENT_KEY,
+ CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY
+ };
+
+ var ClassName = {
+ ALERT: 'alert',
+ FADE: 'fade',
+ SHOW: 'show'
+ };
+
+ /**
+ * ------------------------------------------------------------------------
+ * Class Definition
+ * ------------------------------------------------------------------------
+ */
+
+ var Alert = function () {
+ function Alert(element) {
+ _classCallCheck(this, Alert);
+
+ this._element = element;
+ }
+
+ // getters
+
+ // public
+
+ Alert.prototype.close = function close(element) {
+ element = element || this._element;
+
+ var rootElement = this._getRootElement(element);
+ var customEvent = this._triggerCloseEvent(rootElement);
+
+ if (customEvent.isDefaultPrevented()) {
+ return;
+ }
+
+ this._removeElement(rootElement);
+ };
+
+ Alert.prototype.dispose = function dispose() {
+ $.removeData(this._element, DATA_KEY);
+ this._element = null;
+ };
+
+ // private
+
+ Alert.prototype._getRootElement = function _getRootElement(element) {
+ var selector = Util.getSelectorFromElement(element);
+ var parent = false;
+
+ if (selector) {
+ parent = $(selector)[0];
+ }
+
+ if (!parent) {
+ parent = $(element).closest('.' + ClassName.ALERT)[0];
+ }
+
+ return parent;
+ };
+
+ Alert.prototype._triggerCloseEvent = function _triggerCloseEvent(element) {
+ var closeEvent = $.Event(Event.CLOSE);
+
+ $(element).trigger(closeEvent);
+ return closeEvent;
+ };
+
+ Alert.prototype._removeElement = function _removeElement(element) {
+ var _this2 = this;
+
+ $(element).removeClass(ClassName.SHOW);
+
+ if (!Util.supportsTransitionEnd() || !$(element).hasClass(ClassName.FADE)) {
+ this._destroyElement(element);
+ return;
+ }
+
+ $(element).one(Util.TRANSITION_END, function (event) {
+ return _this2._destroyElement(element, event);
+ }).emulateTransitionEnd(TRANSITION_DURATION);
+ };
+
+ Alert.prototype._destroyElement = function _destroyElement(element) {
+ $(element).detach().trigger(Event.CLOSED).remove();
+ };
+
+ // static
+
+ Alert._jQueryInterface = function _jQueryInterface(config) {
+ return this.each(function () {
+ var $element = $(this);
+ var data = $element.data(DATA_KEY);
+
+ if (!data) {
+ data = new Alert(this);
+ $element.data(DATA_KEY, data);
+ }
+
+ if (config === 'close') {
+ data[config](this);
+ }
+ });
+ };
+
+ Alert._handleDismiss = function _handleDismiss(alertInstance) {
+ return function (event) {
+ if (event) {
+ event.preventDefault();
+ }
+
+ alertInstance.close(this);
+ };
+ };
+
+ _createClass(Alert, null, [{
+ key: 'VERSION',
+ get: function get() {
+ return VERSION;
+ }
+ }]);
+
+ return Alert;
+ }();
+
+ /**
+ * ------------------------------------------------------------------------
+ * Data Api implementation
+ * ------------------------------------------------------------------------
+ */
+
+ $(document).on(Event.CLICK_DATA_API, Selector.DISMISS, Alert._handleDismiss(new Alert()));
+
+ /**
+ * ------------------------------------------------------------------------
+ * jQuery
+ * ------------------------------------------------------------------------
+ */
+
+ $.fn[NAME] = Alert._jQueryInterface;
+ $.fn[NAME].Constructor = Alert;
+ $.fn[NAME].noConflict = function () {
+ $.fn[NAME] = JQUERY_NO_CONFLICT;
+ return Alert._jQueryInterface;
+ };
+
+ return Alert;
+}(jQuery);
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): button.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Button = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'button';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.button';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var DATA_API_KEY = '.data-api';
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+
+ var ClassName = {
+ ACTIVE: 'active',
+ BUTTON: 'btn',
+ FOCUS: 'focus'
+ };
+
+ var Selector = {
+ DATA_TOGGLE_CARROT: '[data-toggle^="button"]',
+ DATA_TOGGLE: '[data-toggle="buttons"]',
+ INPUT: 'input',
+ ACTIVE: '.active',
+ BUTTON: '.btn'
+ };
+
+ var Event = {
+ CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY,
+ FOCUS_BLUR_DATA_API: 'focus' + EVENT_KEY + DATA_API_KEY + ' ' + ('blur' + EVENT_KEY + DATA_API_KEY)
+ };
+
+ /**
+ * ------------------------------------------------------------------------
+ * Class Definition
+ * ------------------------------------------------------------------------
+ */
+
+ var Button = function () {
+ function Button(element) {
+ _classCallCheck(this, Button);
+
+ this._element = element;
+ }
+
+ // getters
+
+ // public
+
+ Button.prototype.toggle = function toggle() {
+ var triggerChangeEvent = true;
+ var rootElement = $(this._element).closest(Selector.DATA_TOGGLE)[0];
+
+ if (rootElement) {
+ var input = $(this._element).find(Selector.INPUT)[0];
+
+ if (input) {
+ if (input.type === 'radio') {
+ if (input.checked && $(this._element).hasClass(ClassName.ACTIVE)) {
+ triggerChangeEvent = false;
+ } else {
+ var activeElement = $(rootElement).find(Selector.ACTIVE)[0];
+
+ if (activeElement) {
+ $(activeElement).removeClass(ClassName.ACTIVE);
+ }
+ }
+ }
+
+ if (triggerChangeEvent) {
+ input.checked = !$(this._element).hasClass(ClassName.ACTIVE);
+ $(input).trigger('change');
+ }
+
+ input.focus();
+ }
+ }
+
+ this._element.setAttribute('aria-pressed', !$(this._element).hasClass(ClassName.ACTIVE));
+
+ if (triggerChangeEvent) {
+ $(this._element).toggleClass(ClassName.ACTIVE);
+ }
+ };
+
+ Button.prototype.dispose = function dispose() {
+ $.removeData(this._element, DATA_KEY);
+ this._element = null;
+ };
+
+ // static
+
+ Button._jQueryInterface = function _jQueryInterface(config) {
+ return this.each(function () {
+ var data = $(this).data(DATA_KEY);
+
+ if (!data) {
+ data = new Button(this);
+ $(this).data(DATA_KEY, data);
+ }
+
+ if (config === 'toggle') {
+ data[config]();
+ }
+ });
+ };
+
+ _createClass(Button, null, [{
+ key: 'VERSION',
+ get: function get() {
+ return VERSION;
+ }
+ }]);
+
+ return Button;
+ }();
+
+ /**
+ * ------------------------------------------------------------------------
+ * Data Api implementation
+ * ------------------------------------------------------------------------
+ */
+
+ $(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE_CARROT, function (event) {
+ event.preventDefault();
+
+ var button = event.target;
+
+ if (!$(button).hasClass(ClassName.BUTTON)) {
+ button = $(button).closest(Selector.BUTTON);
+ }
+
+ Button._jQueryInterface.call($(button), 'toggle');
+ }).on(Event.FOCUS_BLUR_DATA_API, Selector.DATA_TOGGLE_CARROT, function (event) {
+ var button = $(event.target).closest(Selector.BUTTON)[0];
+ $(button).toggleClass(ClassName.FOCUS, /^focus(in)?$/.test(event.type));
+ });
+
+ /**
+ * ------------------------------------------------------------------------
+ * jQuery
+ * ------------------------------------------------------------------------
+ */
+
+ $.fn[NAME] = Button._jQueryInterface;
+ $.fn[NAME].Constructor = Button;
+ $.fn[NAME].noConflict = function () {
+ $.fn[NAME] = JQUERY_NO_CONFLICT;
+ return Button._jQueryInterface;
+ };
+
+ return Button;
+}(jQuery);
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): carousel.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Carousel = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'carousel';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.carousel';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var DATA_API_KEY = '.data-api';
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+ var TRANSITION_DURATION = 600;
+ var ARROW_LEFT_KEYCODE = 37; // KeyboardEvent.which value for left arrow key
+ var ARROW_RIGHT_KEYCODE = 39; // KeyboardEvent.which value for right arrow key
+
+ var Default = {
+ interval: 5000,
+ keyboard: true,
+ slide: false,
+ pause: 'hover',
+ wrap: true
+ };
+
+ var DefaultType = {
+ interval: '(number|boolean)',
+ keyboard: 'boolean',
+ slide: '(boolean|string)',
+ pause: '(string|boolean)',
+ wrap: 'boolean'
+ };
+
+ var Direction = {
+ NEXT: 'next',
+ PREV: 'prev',
+ LEFT: 'left',
+ RIGHT: 'right'
+ };
+
+ var Event = {
+ SLIDE: 'slide' + EVENT_KEY,
+ SLID: 'slid' + EVENT_KEY,
+ KEYDOWN: 'keydown' + EVENT_KEY,
+ MOUSEENTER: 'mouseenter' + EVENT_KEY,
+ MOUSELEAVE: 'mouseleave' + EVENT_KEY,
+ LOAD_DATA_API: 'load' + EVENT_KEY + DATA_API_KEY,
+ CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY
+ };
+
+ var ClassName = {
+ CAROUSEL: 'carousel',
+ ACTIVE: 'active',
+ SLIDE: 'slide',
+ RIGHT: 'carousel-item-right',
+ LEFT: 'carousel-item-left',
+ NEXT: 'carousel-item-next',
+ PREV: 'carousel-item-prev',
+ ITEM: 'carousel-item'
+ };
+
+ var Selector = {
+ ACTIVE: '.active',
+ ACTIVE_ITEM: '.active.carousel-item',
+ ITEM: '.carousel-item',
+ NEXT_PREV: '.carousel-item-next, .carousel-item-prev',
+ INDICATORS: '.carousel-indicators',
+ DATA_SLIDE: '[data-slide], [data-slide-to]',
+ DATA_RIDE: '[data-ride="carousel"]'
+ };
+
+ /**
+ * ------------------------------------------------------------------------
+ * Class Definition
+ * ------------------------------------------------------------------------
+ */
+
+ var Carousel = function () {
+ function Carousel(element, config) {
+ _classCallCheck(this, Carousel);
+
+ this._items = null;
+ this._interval = null;
+ this._activeElement = null;
+
+ this._isPaused = false;
+ this._isSliding = false;
+
+ this._config = this._getConfig(config);
+ this._element = $(element)[0];
+ this._indicatorsElement = $(this._element).find(Selector.INDICATORS)[0];
+
+ this._addEventListeners();
+ }
+
+ // getters
+
+ // public
+
+ Carousel.prototype.next = function next() {
+ if (this._isSliding) {
+ throw new Error('Carousel is sliding');
+ }
+ this._slide(Direction.NEXT);
+ };
+
+ Carousel.prototype.nextWhenVisible = function nextWhenVisible() {
+ // Don't call next when the page isn't visible
+ if (!document.hidden) {
+ this.next();
+ }
+ };
+
+ Carousel.prototype.prev = function prev() {
+ if (this._isSliding) {
+ throw new Error('Carousel is sliding');
+ }
+ this._slide(Direction.PREVIOUS);
+ };
+
+ Carousel.prototype.pause = function pause(event) {
+ if (!event) {
+ this._isPaused = true;
+ }
+
+ if ($(this._element).find(Selector.NEXT_PREV)[0] && Util.supportsTransitionEnd()) {
+ Util.triggerTransitionEnd(this._element);
+ this.cycle(true);
+ }
+
+ clearInterval(this._interval);
+ this._interval = null;
+ };
+
+ Carousel.prototype.cycle = function cycle(event) {
+ if (!event) {
+ this._isPaused = false;
+ }
+
+ if (this._interval) {
+ clearInterval(this._interval);
+ this._interval = null;
+ }
+
+ if (this._config.interval && !this._isPaused) {
+ this._interval = setInterval((document.visibilityState ? this.nextWhenVisible : this.next).bind(this), this._config.interval);
+ }
+ };
+
+ Carousel.prototype.to = function to(index) {
+ var _this3 = this;
+
+ this._activeElement = $(this._element).find(Selector.ACTIVE_ITEM)[0];
+
+ var activeIndex = this._getItemIndex(this._activeElement);
+
+ if (index > this._items.length - 1 || index < 0) {
+ return;
+ }
+
+ if (this._isSliding) {
+ $(this._element).one(Event.SLID, function () {
+ return _this3.to(index);
+ });
+ return;
+ }
+
+ if (activeIndex === index) {
+ this.pause();
+ this.cycle();
+ return;
+ }
+
+ var direction = index > activeIndex ? Direction.NEXT : Direction.PREVIOUS;
+
+ this._slide(direction, this._items[index]);
+ };
+
+ Carousel.prototype.dispose = function dispose() {
+ $(this._element).off(EVENT_KEY);
+ $.removeData(this._element, DATA_KEY);
+
+ this._items = null;
+ this._config = null;
+ this._element = null;
+ this._interval = null;
+ this._isPaused = null;
+ this._isSliding = null;
+ this._activeElement = null;
+ this._indicatorsElement = null;
+ };
+
+ // private
+
+ Carousel.prototype._getConfig = function _getConfig(config) {
+ config = $.extend({}, Default, config);
+ Util.typeCheckConfig(NAME, config, DefaultType);
+ return config;
+ };
+
+ Carousel.prototype._addEventListeners = function _addEventListeners() {
+ var _this4 = this;
+
+ if (this._config.keyboard) {
+ $(this._element).on(Event.KEYDOWN, function (event) {
+ return _this4._keydown(event);
+ });
+ }
+
+ if (this._config.pause === 'hover' && !('ontouchstart' in document.documentElement)) {
+ $(this._element).on(Event.MOUSEENTER, function (event) {
+ return _this4.pause(event);
+ }).on(Event.MOUSELEAVE, function (event) {
+ return _this4.cycle(event);
+ });
+ }
+ };
+
+ Carousel.prototype._keydown = function _keydown(event) {
+ if (/input|textarea/i.test(event.target.tagName)) {
+ return;
+ }
+
+ switch (event.which) {
+ case ARROW_LEFT_KEYCODE:
+ event.preventDefault();
+ this.prev();
+ break;
+ case ARROW_RIGHT_KEYCODE:
+ event.preventDefault();
+ this.next();
+ break;
+ default:
+ return;
+ }
+ };
+
+ Carousel.prototype._getItemIndex = function _getItemIndex(element) {
+ this._items = $.makeArray($(element).parent().find(Selector.ITEM));
+ return this._items.indexOf(element);
+ };
+
+ Carousel.prototype._getItemByDirection = function _getItemByDirection(direction, activeElement) {
+ var isNextDirection = direction === Direction.NEXT;
+ var isPrevDirection = direction === Direction.PREVIOUS;
+ var activeIndex = this._getItemIndex(activeElement);
+ var lastItemIndex = this._items.length - 1;
+ var isGoingToWrap = isPrevDirection && activeIndex === 0 || isNextDirection && activeIndex === lastItemIndex;
+
+ if (isGoingToWrap && !this._config.wrap) {
+ return activeElement;
+ }
+
+ var delta = direction === Direction.PREVIOUS ? -1 : 1;
+ var itemIndex = (activeIndex + delta) % this._items.length;
+
+ return itemIndex === -1 ? this._items[this._items.length - 1] : this._items[itemIndex];
+ };
+
+ Carousel.prototype._triggerSlideEvent = function _triggerSlideEvent(relatedTarget, eventDirectionName) {
+ var slideEvent = $.Event(Event.SLIDE, {
+ relatedTarget: relatedTarget,
+ direction: eventDirectionName
+ });
+
+ $(this._element).trigger(slideEvent);
+
+ return slideEvent;
+ };
+
+ Carousel.prototype._setActiveIndicatorElement = function _setActiveIndicatorElement(element) {
+ if (this._indicatorsElement) {
+ $(this._indicatorsElement).find(Selector.ACTIVE).removeClass(ClassName.ACTIVE);
+
+ var nextIndicator = this._indicatorsElement.children[this._getItemIndex(element)];
+
+ if (nextIndicator) {
+ $(nextIndicator).addClass(ClassName.ACTIVE);
+ }
+ }
+ };
+
+ Carousel.prototype._slide = function _slide(direction, element) {
+ var _this5 = this;
+
+ var activeElement = $(this._element).find(Selector.ACTIVE_ITEM)[0];
+ var nextElement = element || activeElement && this._getItemByDirection(direction, activeElement);
+
+ var isCycling = Boolean(this._interval);
+
+ var directionalClassName = void 0;
+ var orderClassName = void 0;
+ var eventDirectionName = void 0;
+
+ if (direction === Direction.NEXT) {
+ directionalClassName = ClassName.LEFT;
+ orderClassName = ClassName.NEXT;
+ eventDirectionName = Direction.LEFT;
+ } else {
+ directionalClassName = ClassName.RIGHT;
+ orderClassName = ClassName.PREV;
+ eventDirectionName = Direction.RIGHT;
+ }
+
+ if (nextElement && $(nextElement).hasClass(ClassName.ACTIVE)) {
+ this._isSliding = false;
+ return;
+ }
+
+ var slideEvent = this._triggerSlideEvent(nextElement, eventDirectionName);
+ if (slideEvent.isDefaultPrevented()) {
+ return;
+ }
+
+ if (!activeElement || !nextElement) {
+ // some weirdness is happening, so we bail
+ return;
+ }
+
+ this._isSliding = true;
+
+ if (isCycling) {
+ this.pause();
+ }
+
+ this._setActiveIndicatorElement(nextElement);
+
+ var slidEvent = $.Event(Event.SLID, {
+ relatedTarget: nextElement,
+ direction: eventDirectionName
+ });
+
+ if (Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.SLIDE)) {
+
+ $(nextElement).addClass(orderClassName);
+
+ Util.reflow(nextElement);
+
+ $(activeElement).addClass(directionalClassName);
+ $(nextElement).addClass(directionalClassName);
+
+ $(activeElement).one(Util.TRANSITION_END, function () {
+ $(nextElement).removeClass(directionalClassName + ' ' + orderClassName).addClass(ClassName.ACTIVE);
+
+ $(activeElement).removeClass(ClassName.ACTIVE + ' ' + orderClassName + ' ' + directionalClassName);
+
+ _this5._isSliding = false;
+
+ setTimeout(function () {
+ return $(_this5._element).trigger(slidEvent);
+ }, 0);
+ }).emulateTransitionEnd(TRANSITION_DURATION);
+ } else {
+ $(activeElement).removeClass(ClassName.ACTIVE);
+ $(nextElement).addClass(ClassName.ACTIVE);
+
+ this._isSliding = false;
+ $(this._element).trigger(slidEvent);
+ }
+
+ if (isCycling) {
+ this.cycle();
+ }
+ };
+
+ // static
+
+ Carousel._jQueryInterface = function _jQueryInterface(config) {
+ return this.each(function () {
+ var data = $(this).data(DATA_KEY);
+ var _config = $.extend({}, Default, $(this).data());
+
+ if ((typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object') {
+ $.extend(_config, config);
+ }
+
+ var action = typeof config === 'string' ? config : _config.slide;
+
+ if (!data) {
+ data = new Carousel(this, _config);
+ $(this).data(DATA_KEY, data);
+ }
+
+ if (typeof config === 'number') {
+ data.to(config);
+ } else if (typeof action === 'string') {
+ if (data[action] === undefined) {
+ throw new Error('No method named "' + action + '"');
+ }
+ data[action]();
+ } else if (_config.interval) {
+ data.pause();
+ data.cycle();
+ }
+ });
+ };
+
+ Carousel._dataApiClickHandler = function _dataApiClickHandler(event) {
+ var selector = Util.getSelectorFromElement(this);
+
+ if (!selector) {
+ return;
+ }
+
+ var target = $(selector)[0];
+
+ if (!target || !$(target).hasClass(ClassName.CAROUSEL)) {
+ return;
+ }
+
+ var config = $.extend({}, $(target).data(), $(this).data());
+ var slideIndex = this.getAttribute('data-slide-to');
+
+ if (slideIndex) {
+ config.interval = false;
+ }
+
+ Carousel._jQueryInterface.call($(target), config);
+
+ if (slideIndex) {
+ $(target).data(DATA_KEY).to(slideIndex);
+ }
+
+ event.preventDefault();
+ };
+
+ _createClass(Carousel, null, [{
+ key: 'VERSION',
+ get: function get() {
+ return VERSION;
+ }
+ }, {
+ key: 'Default',
+ get: function get() {
+ return Default;
+ }
+ }]);
+
+ return Carousel;
+ }();
+
+ /**
+ * ------------------------------------------------------------------------
+ * Data Api implementation
+ * ------------------------------------------------------------------------
+ */
+
+ $(document).on(Event.CLICK_DATA_API, Selector.DATA_SLIDE, Carousel._dataApiClickHandler);
+
+ $(window).on(Event.LOAD_DATA_API, function () {
+ $(Selector.DATA_RIDE).each(function () {
+ var $carousel = $(this);
+ Carousel._jQueryInterface.call($carousel, $carousel.data());
+ });
+ });
+
+ /**
+ * ------------------------------------------------------------------------
+ * jQuery
+ * ------------------------------------------------------------------------
+ */
+
+ $.fn[NAME] = Carousel._jQueryInterface;
+ $.fn[NAME].Constructor = Carousel;
+ $.fn[NAME].noConflict = function () {
+ $.fn[NAME] = JQUERY_NO_CONFLICT;
+ return Carousel._jQueryInterface;
+ };
+
+ return Carousel;
+}(jQuery);
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): collapse.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Collapse = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'collapse';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.collapse';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var DATA_API_KEY = '.data-api';
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+ var TRANSITION_DURATION = 600;
+
+ var Default = {
+ toggle: true,
+ parent: ''
+ };
+
+ var DefaultType = {
+ toggle: 'boolean',
+ parent: 'string'
+ };
+
+ var Event = {
+ SHOW: 'show' + EVENT_KEY,
+ SHOWN: 'shown' + EVENT_KEY,
+ HIDE: 'hide' + EVENT_KEY,
+ HIDDEN: 'hidden' + EVENT_KEY,
+ CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY
+ };
+
+ var ClassName = {
+ SHOW: 'show',
+ COLLAPSE: 'collapse',
+ COLLAPSING: 'collapsing',
+ COLLAPSED: 'collapsed'
+ };
+
+ var Dimension = {
+ WIDTH: 'width',
+ HEIGHT: 'height'
+ };
+
+ var Selector = {
+ ACTIVES: '.card > .show, .card > .collapsing',
+ DATA_TOGGLE: '[data-toggle="collapse"]'
+ };
+
+ /**
+ * ------------------------------------------------------------------------
+ * Class Definition
+ * ------------------------------------------------------------------------
+ */
+
+ var Collapse = function () {
+ function Collapse(element, config) {
+ _classCallCheck(this, Collapse);
+
+ this._isTransitioning = false;
+ this._element = element;
+ this._config = this._getConfig(config);
+ this._triggerArray = $.makeArray($('[data-toggle="collapse"][href="#' + element.id + '"],' + ('[data-toggle="collapse"][data-target="#' + element.id + '"]')));
+
+ this._parent = this._config.parent ? this._getParent() : null;
+
+ if (!this._config.parent) {
+ this._addAriaAndCollapsedClass(this._element, this._triggerArray);
+ }
+
+ if (this._config.toggle) {
+ this.toggle();
+ }
+ }
+
+ // getters
+
+ // public
+
+ Collapse.prototype.toggle = function toggle() {
+ if ($(this._element).hasClass(ClassName.SHOW)) {
+ this.hide();
+ } else {
+ this.show();
+ }
+ };
+
+ Collapse.prototype.show = function show() {
+ var _this6 = this;
+
+ if (this._isTransitioning) {
+ throw new Error('Collapse is transitioning');
+ }
+
+ if ($(this._element).hasClass(ClassName.SHOW)) {
+ return;
+ }
+
+ var actives = void 0;
+ var activesData = void 0;
+
+ if (this._parent) {
+ actives = $.makeArray($(this._parent).find(Selector.ACTIVES));
+ if (!actives.length) {
+ actives = null;
+ }
+ }
+
+ if (actives) {
+ activesData = $(actives).data(DATA_KEY);
+ if (activesData && activesData._isTransitioning) {
+ return;
+ }
+ }
+
+ var startEvent = $.Event(Event.SHOW);
+ $(this._element).trigger(startEvent);
+ if (startEvent.isDefaultPrevented()) {
+ return;
+ }
+
+ if (actives) {
+ Collapse._jQueryInterface.call($(actives), 'hide');
+ if (!activesData) {
+ $(actives).data(DATA_KEY, null);
+ }
+ }
+
+ var dimension = this._getDimension();
+
+ $(this._element).removeClass(ClassName.COLLAPSE).addClass(ClassName.COLLAPSING);
+
+ this._element.style[dimension] = 0;
+ this._element.setAttribute('aria-expanded', true);
+
+ if (this._triggerArray.length) {
+ $(this._triggerArray).removeClass(ClassName.COLLAPSED).attr('aria-expanded', true);
+ }
+
+ this.setTransitioning(true);
+
+ var complete = function complete() {
+ $(_this6._element).removeClass(ClassName.COLLAPSING).addClass(ClassName.COLLAPSE).addClass(ClassName.SHOW);
+
+ _this6._element.style[dimension] = '';
+
+ _this6.setTransitioning(false);
+
+ $(_this6._element).trigger(Event.SHOWN);
+ };
+
+ if (!Util.supportsTransitionEnd()) {
+ complete();
+ return;
+ }
+
+ var capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);
+ var scrollSize = 'scroll' + capitalizedDimension;
+
+ $(this._element).one(Util.TRANSITION_END, complete).emulateTransitionEnd(TRANSITION_DURATION);
+
+ this._element.style[dimension] = this._element[scrollSize] + 'px';
+ };
+
+ Collapse.prototype.hide = function hide() {
+ var _this7 = this;
+
+ if (this._isTransitioning) {
+ throw new Error('Collapse is transitioning');
+ }
+
+ if (!$(this._element).hasClass(ClassName.SHOW)) {
+ return;
+ }
+
+ var startEvent = $.Event(Event.HIDE);
+ $(this._element).trigger(startEvent);
+ if (startEvent.isDefaultPrevented()) {
+ return;
+ }
+
+ var dimension = this._getDimension();
+ var offsetDimension = dimension === Dimension.WIDTH ? 'offsetWidth' : 'offsetHeight';
+
+ this._element.style[dimension] = this._element[offsetDimension] + 'px';
+
+ Util.reflow(this._element);
+
+ $(this._element).addClass(ClassName.COLLAPSING).removeClass(ClassName.COLLAPSE).removeClass(ClassName.SHOW);
+
+ this._element.setAttribute('aria-expanded', false);
+
+ if (this._triggerArray.length) {
+ $(this._triggerArray).addClass(ClassName.COLLAPSED).attr('aria-expanded', false);
+ }
+
+ this.setTransitioning(true);
+
+ var complete = function complete() {
+ _this7.setTransitioning(false);
+ $(_this7._element).removeClass(ClassName.COLLAPSING).addClass(ClassName.COLLAPSE).trigger(Event.HIDDEN);
+ };
+
+ this._element.style[dimension] = '';
+
+ if (!Util.supportsTransitionEnd()) {
+ complete();
+ return;
+ }
+
+ $(this._element).one(Util.TRANSITION_END, complete).emulateTransitionEnd(TRANSITION_DURATION);
+ };
+
+ Collapse.prototype.setTransitioning = function setTransitioning(isTransitioning) {
+ this._isTransitioning = isTransitioning;
+ };
+
+ Collapse.prototype.dispose = function dispose() {
+ $.removeData(this._element, DATA_KEY);
+
+ this._config = null;
+ this._parent = null;
+ this._element = null;
+ this._triggerArray = null;
+ this._isTransitioning = null;
+ };
+
+ // private
+
+ Collapse.prototype._getConfig = function _getConfig(config) {
+ config = $.extend({}, Default, config);
+ config.toggle = Boolean(config.toggle); // coerce string values
+ Util.typeCheckConfig(NAME, config, DefaultType);
+ return config;
+ };
+
+ Collapse.prototype._getDimension = function _getDimension() {
+ var hasWidth = $(this._element).hasClass(Dimension.WIDTH);
+ return hasWidth ? Dimension.WIDTH : Dimension.HEIGHT;
+ };
+
+ Collapse.prototype._getParent = function _getParent() {
+ var _this8 = this;
+
+ var parent = $(this._config.parent)[0];
+ var selector = '[data-toggle="collapse"][data-parent="' + this._config.parent + '"]';
+
+ $(parent).find(selector).each(function (i, element) {
+ _this8._addAriaAndCollapsedClass(Collapse._getTargetFromElement(element), [element]);
+ });
+
+ return parent;
+ };
+
+ Collapse.prototype._addAriaAndCollapsedClass = function _addAriaAndCollapsedClass(element, triggerArray) {
+ if (element) {
+ var isOpen = $(element).hasClass(ClassName.SHOW);
+ element.setAttribute('aria-expanded', isOpen);
+
+ if (triggerArray.length) {
+ $(triggerArray).toggleClass(ClassName.COLLAPSED, !isOpen).attr('aria-expanded', isOpen);
+ }
+ }
+ };
+
+ // static
+
+ Collapse._getTargetFromElement = function _getTargetFromElement(element) {
+ var selector = Util.getSelectorFromElement(element);
+ return selector ? $(selector)[0] : null;
+ };
+
+ Collapse._jQueryInterface = function _jQueryInterface(config) {
+ return this.each(function () {
+ var $this = $(this);
+ var data = $this.data(DATA_KEY);
+ var _config = $.extend({}, Default, $this.data(), (typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object' && config);
+
+ if (!data && _config.toggle && /show|hide/.test(config)) {
+ _config.toggle = false;
+ }
+
+ if (!data) {
+ data = new Collapse(this, _config);
+ $this.data(DATA_KEY, data);
+ }
+
+ if (typeof config === 'string') {
+ if (data[config] === undefined) {
+ throw new Error('No method named "' + config + '"');
+ }
+ data[config]();
+ }
+ });
+ };
+
+ _createClass(Collapse, null, [{
+ key: 'VERSION',
+ get: function get() {
+ return VERSION;
+ }
+ }, {
+ key: 'Default',
+ get: function get() {
+ return Default;
+ }
+ }]);
+
+ return Collapse;
+ }();
+
+ /**
+ * ------------------------------------------------------------------------
+ * Data Api implementation
+ * ------------------------------------------------------------------------
+ */
+
+ $(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) {
+ event.preventDefault();
+
+ var target = Collapse._getTargetFromElement(this);
+ var data = $(target).data(DATA_KEY);
+ var config = data ? 'toggle' : $(this).data();
+
+ Collapse._jQueryInterface.call($(target), config);
+ });
+
+ /**
+ * ------------------------------------------------------------------------
+ * jQuery
+ * ------------------------------------------------------------------------
+ */
+
+ $.fn[NAME] = Collapse._jQueryInterface;
+ $.fn[NAME].Constructor = Collapse;
+ $.fn[NAME].noConflict = function () {
+ $.fn[NAME] = JQUERY_NO_CONFLICT;
+ return Collapse._jQueryInterface;
+ };
+
+ return Collapse;
+}(jQuery);
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): dropdown.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Dropdown = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'dropdown';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.dropdown';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var DATA_API_KEY = '.data-api';
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+ var ESCAPE_KEYCODE = 27; // KeyboardEvent.which value for Escape (Esc) key
+ var ARROW_UP_KEYCODE = 38; // KeyboardEvent.which value for up arrow key
+ var ARROW_DOWN_KEYCODE = 40; // KeyboardEvent.which value for down arrow key
+ var RIGHT_MOUSE_BUTTON_WHICH = 3; // MouseEvent.which value for the right button (assuming a right-handed mouse)
+
+ var Event = {
+ HIDE: 'hide' + EVENT_KEY,
+ HIDDEN: 'hidden' + EVENT_KEY,
+ SHOW: 'show' + EVENT_KEY,
+ SHOWN: 'shown' + EVENT_KEY,
+ CLICK: 'click' + EVENT_KEY,
+ CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY,
+ FOCUSIN_DATA_API: 'focusin' + EVENT_KEY + DATA_API_KEY,
+ KEYDOWN_DATA_API: 'keydown' + EVENT_KEY + DATA_API_KEY
+ };
+
+ var ClassName = {
+ BACKDROP: 'dropdown-backdrop',
+ DISABLED: 'disabled',
+ SHOW: 'show'
+ };
+
+ var Selector = {
+ BACKDROP: '.dropdown-backdrop',
+ DATA_TOGGLE: '[data-toggle="dropdown"]',
+ FORM_CHILD: '.dropdown form',
+ ROLE_MENU: '[role="menu"]',
+ ROLE_LISTBOX: '[role="listbox"]',
+ NAVBAR_NAV: '.navbar-nav',
+ VISIBLE_ITEMS: '[role="menu"] li:not(.disabled) a, ' + '[role="listbox"] li:not(.disabled) a'
+ };
+
+ /**
+ * ------------------------------------------------------------------------
+ * Class Definition
+ * ------------------------------------------------------------------------
+ */
+
+ var Dropdown = function () {
+ function Dropdown(element) {
+ _classCallCheck(this, Dropdown);
+
+ this._element = element;
+
+ this._addEventListeners();
+ }
+
+ // getters
+
+ // public
+
+ Dropdown.prototype.toggle = function toggle() {
+ if (this.disabled || $(this).hasClass(ClassName.DISABLED)) {
+ return false;
+ }
+
+ var parent = Dropdown._getParentFromElement(this);
+ var isActive = $(parent).hasClass(ClassName.SHOW);
+
+ Dropdown._clearMenus();
+
+ if (isActive) {
+ return false;
+ }
+
+ if ('ontouchstart' in document.documentElement && !$(parent).closest(Selector.NAVBAR_NAV).length) {
+
+ // if mobile we use a backdrop because click events don't delegate
+ var dropdown = document.createElement('div');
+ dropdown.className = ClassName.BACKDROP;
+ $(dropdown).insertBefore(this);
+ $(dropdown).on('click', Dropdown._clearMenus);
+ }
+
+ var relatedTarget = {
+ relatedTarget: this
+ };
+ var showEvent = $.Event(Event.SHOW, relatedTarget);
+
+ $(parent).trigger(showEvent);
+
+ if (showEvent.isDefaultPrevented()) {
+ return false;
+ }
+
+ this.focus();
+ this.setAttribute('aria-expanded', true);
+
+ $(parent).toggleClass(ClassName.SHOW);
+ $(parent).trigger($.Event(Event.SHOWN, relatedTarget));
+
+ return false;
+ };
+
+ Dropdown.prototype.dispose = function dispose() {
+ $.removeData(this._element, DATA_KEY);
+ $(this._element).off(EVENT_KEY);
+ this._element = null;
+ };
+
+ // private
+
+ Dropdown.prototype._addEventListeners = function _addEventListeners() {
+ $(this._element).on(Event.CLICK, this.toggle);
+ };
+
+ // static
+
+ Dropdown._jQueryInterface = function _jQueryInterface(config) {
+ return this.each(function () {
+ var data = $(this).data(DATA_KEY);
+
+ if (!data) {
+ data = new Dropdown(this);
+ $(this).data(DATA_KEY, data);
+ }
+
+ if (typeof config === 'string') {
+ if (data[config] === undefined) {
+ throw new Error('No method named "' + config + '"');
+ }
+ data[config].call(this);
+ }
+ });
+ };
+
+ Dropdown._clearMenus = function _clearMenus(event) {
+ if (event && event.which === RIGHT_MOUSE_BUTTON_WHICH) {
+ return;
+ }
+
+ var backdrop = $(Selector.BACKDROP)[0];
+ if (backdrop) {
+ backdrop.parentNode.removeChild(backdrop);
+ }
+
+ var toggles = $.makeArray($(Selector.DATA_TOGGLE));
+
+ for (var i = 0; i < toggles.length; i++) {
+ var parent = Dropdown._getParentFromElement(toggles[i]);
+ var relatedTarget = {
+ relatedTarget: toggles[i]
+ };
+
+ if (!$(parent).hasClass(ClassName.SHOW)) {
+ continue;
+ }
+
+ if (event && (event.type === 'click' && /input|textarea/i.test(event.target.tagName) || event.type === 'focusin') && $.contains(parent, event.target)) {
+ continue;
+ }
+
+ var hideEvent = $.Event(Event.HIDE, relatedTarget);
+ $(parent).trigger(hideEvent);
+ if (hideEvent.isDefaultPrevented()) {
+ continue;
+ }
+
+ toggles[i].setAttribute('aria-expanded', 'false');
+
+ $(parent).removeClass(ClassName.SHOW).trigger($.Event(Event.HIDDEN, relatedTarget));
+ }
+ };
+
+ Dropdown._getParentFromElement = function _getParentFromElement(element) {
+ var parent = void 0;
+ var selector = Util.getSelectorFromElement(element);
+
+ if (selector) {
+ parent = $(selector)[0];
+ }
+
+ return parent || element.parentNode;
+ };
+
+ Dropdown._dataApiKeydownHandler = function _dataApiKeydownHandler(event) {
+ if (!/(38|40|27|32)/.test(event.which) || /input|textarea/i.test(event.target.tagName)) {
+ return;
+ }
+
+ event.preventDefault();
+ event.stopPropagation();
+
+ if (this.disabled || $(this).hasClass(ClassName.DISABLED)) {
+ return;
+ }
+
+ var parent = Dropdown._getParentFromElement(this);
+ var isActive = $(parent).hasClass(ClassName.SHOW);
+
+ if (!isActive && event.which !== ESCAPE_KEYCODE || isActive && event.which === ESCAPE_KEYCODE) {
+
+ if (event.which === ESCAPE_KEYCODE) {
+ var toggle = $(parent).find(Selector.DATA_TOGGLE)[0];
+ $(toggle).trigger('focus');
+ }
+
+ $(this).trigger('click');
+ return;
+ }
+
+ var items = $(parent).find(Selector.VISIBLE_ITEMS).get();
+
+ if (!items.length) {
+ return;
+ }
+
+ var index = items.indexOf(event.target);
+
+ if (event.which === ARROW_UP_KEYCODE && index > 0) {
+ // up
+ index--;
+ }
+
+ if (event.which === ARROW_DOWN_KEYCODE && index < items.length - 1) {
+ // down
+ index++;
+ }
+
+ if (index < 0) {
+ index = 0;
+ }
+
+ items[index].focus();
+ };
+
+ _createClass(Dropdown, null, [{
+ key: 'VERSION',
+ get: function get() {
+ return VERSION;
+ }
+ }]);
+
+ return Dropdown;
+ }();
+
+ /**
+ * ------------------------------------------------------------------------
+ * Data Api implementation
+ * ------------------------------------------------------------------------
+ */
+
+ $(document).on(Event.KEYDOWN_DATA_API, Selector.DATA_TOGGLE, Dropdown._dataApiKeydownHandler).on(Event.KEYDOWN_DATA_API, Selector.ROLE_MENU, Dropdown._dataApiKeydownHandler).on(Event.KEYDOWN_DATA_API, Selector.ROLE_LISTBOX, Dropdown._dataApiKeydownHandler).on(Event.CLICK_DATA_API + ' ' + Event.FOCUSIN_DATA_API, Dropdown._clearMenus).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, Dropdown.prototype.toggle).on(Event.CLICK_DATA_API, Selector.FORM_CHILD, function (e) {
+ e.stopPropagation();
+ });
+
+ /**
+ * ------------------------------------------------------------------------
+ * jQuery
+ * ------------------------------------------------------------------------
+ */
+
+ $.fn[NAME] = Dropdown._jQueryInterface;
+ $.fn[NAME].Constructor = Dropdown;
+ $.fn[NAME].noConflict = function () {
+ $.fn[NAME] = JQUERY_NO_CONFLICT;
+ return Dropdown._jQueryInterface;
+ };
+
+ return Dropdown;
+}(jQuery);
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): modal.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Modal = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'modal';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.modal';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var DATA_API_KEY = '.data-api';
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+ var TRANSITION_DURATION = 300;
+ var BACKDROP_TRANSITION_DURATION = 150;
+ var ESCAPE_KEYCODE = 27; // KeyboardEvent.which value for Escape (Esc) key
+
+ var Default = {
+ backdrop: true,
+ keyboard: true,
+ focus: true,
+ show: true
+ };
+
+ var DefaultType = {
+ backdrop: '(boolean|string)',
+ keyboard: 'boolean',
+ focus: 'boolean',
+ show: 'boolean'
+ };
+
+ var Event = {
+ HIDE: 'hide' + EVENT_KEY,
+ HIDDEN: 'hidden' + EVENT_KEY,
+ SHOW: 'show' + EVENT_KEY,
+ SHOWN: 'shown' + EVENT_KEY,
+ FOCUSIN: 'focusin' + EVENT_KEY,
+ RESIZE: 'resize' + EVENT_KEY,
+ CLICK_DISMISS: 'click.dismiss' + EVENT_KEY,
+ KEYDOWN_DISMISS: 'keydown.dismiss' + EVENT_KEY,
+ MOUSEUP_DISMISS: 'mouseup.dismiss' + EVENT_KEY,
+ MOUSEDOWN_DISMISS: 'mousedown.dismiss' + EVENT_KEY,
+ CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY
+ };
+
+ var ClassName = {
+ SCROLLBAR_MEASURER: 'modal-scrollbar-measure',
+ BACKDROP: 'modal-backdrop',
+ OPEN: 'modal-open',
+ FADE: 'fade',
+ SHOW: 'show'
+ };
+
+ var Selector = {
+ DIALOG: '.modal-dialog',
+ DATA_TOGGLE: '[data-toggle="modal"]',
+ DATA_DISMISS: '[data-dismiss="modal"]',
+ FIXED_CONTENT: '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'
+ };
+
+ /**
+ * ------------------------------------------------------------------------
+ * Class Definition
+ * ------------------------------------------------------------------------
+ */
+
+ var Modal = function () {
+ function Modal(element, config) {
+ _classCallCheck(this, Modal);
+
+ this._config = this._getConfig(config);
+ this._element = element;
+ this._dialog = $(element).find(Selector.DIALOG)[0];
+ this._backdrop = null;
+ this._isShown = false;
+ this._isBodyOverflowing = false;
+ this._ignoreBackdropClick = false;
+ this._isTransitioning = false;
+ this._originalBodyPadding = 0;
+ this._scrollbarWidth = 0;
+ }
+
+ // getters
+
+ // public
+
+ Modal.prototype.toggle = function toggle(relatedTarget) {
+ return this._isShown ? this.hide() : this.show(relatedTarget);
+ };
+
+ Modal.prototype.show = function show(relatedTarget) {
+ var _this9 = this;
+
+ if (this._isTransitioning) {
+ throw new Error('Modal is transitioning');
+ }
+
+ if (Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.FADE)) {
+ this._isTransitioning = true;
+ }
+ var showEvent = $.Event(Event.SHOW, {
+ relatedTarget: relatedTarget
+ });
+
+ $(this._element).trigger(showEvent);
+
+ if (this._isShown || showEvent.isDefaultPrevented()) {
+ return;
+ }
+
+ this._isShown = true;
+
+ this._checkScrollbar();
+ this._setScrollbar();
+
+ $(document.body).addClass(ClassName.OPEN);
+
+ this._setEscapeEvent();
+ this._setResizeEvent();
+
+ $(this._element).on(Event.CLICK_DISMISS, Selector.DATA_DISMISS, function (event) {
+ return _this9.hide(event);
+ });
+
+ $(this._dialog).on(Event.MOUSEDOWN_DISMISS, function () {
+ $(_this9._element).one(Event.MOUSEUP_DISMISS, function (event) {
+ if ($(event.target).is(_this9._element)) {
+ _this9._ignoreBackdropClick = true;
+ }
+ });
+ });
+
+ this._showBackdrop(function () {
+ return _this9._showElement(relatedTarget);
+ });
+ };
+
+ Modal.prototype.hide = function hide(event) {
+ var _this10 = this;
+
+ if (event) {
+ event.preventDefault();
+ }
+
+ if (this._isTransitioning) {
+ throw new Error('Modal is transitioning');
+ }
+
+ var transition = Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.FADE);
+ if (transition) {
+ this._isTransitioning = true;
+ }
+
+ var hideEvent = $.Event(Event.HIDE);
+ $(this._element).trigger(hideEvent);
+
+ if (!this._isShown || hideEvent.isDefaultPrevented()) {
+ return;
+ }
+
+ this._isShown = false;
+
+ this._setEscapeEvent();
+ this._setResizeEvent();
+
+ $(document).off(Event.FOCUSIN);
+
+ $(this._element).removeClass(ClassName.SHOW);
+
+ $(this._element).off(Event.CLICK_DISMISS);
+ $(this._dialog).off(Event.MOUSEDOWN_DISMISS);
+
+ if (transition) {
+ $(this._element).one(Util.TRANSITION_END, function (event) {
+ return _this10._hideModal(event);
+ }).emulateTransitionEnd(TRANSITION_DURATION);
+ } else {
+ this._hideModal();
+ }
+ };
+
+ Modal.prototype.dispose = function dispose() {
+ $.removeData(this._element, DATA_KEY);
+
+ $(window, document, this._element, this._backdrop).off(EVENT_KEY);
+
+ this._config = null;
+ this._element = null;
+ this._dialog = null;
+ this._backdrop = null;
+ this._isShown = null;
+ this._isBodyOverflowing = null;
+ this._ignoreBackdropClick = null;
+ this._originalBodyPadding = null;
+ this._scrollbarWidth = null;
+ };
+
+ // private
+
+ Modal.prototype._getConfig = function _getConfig(config) {
+ config = $.extend({}, Default, config);
+ Util.typeCheckConfig(NAME, config, DefaultType);
+ return config;
+ };
+
+ Modal.prototype._showElement = function _showElement(relatedTarget) {
+ var _this11 = this;
+
+ var transition = Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.FADE);
+
+ if (!this._element.parentNode || this._element.parentNode.nodeType !== Node.ELEMENT_NODE) {
+ // don't move modals dom position
+ document.body.appendChild(this._element);
+ }
+
+ this._element.style.display = 'block';
+ this._element.removeAttribute('aria-hidden');
+ this._element.scrollTop = 0;
+
+ if (transition) {
+ Util.reflow(this._element);
+ }
+
+ $(this._element).addClass(ClassName.SHOW);
+
+ if (this._config.focus) {
+ this._enforceFocus();
+ }
+
+ var shownEvent = $.Event(Event.SHOWN, {
+ relatedTarget: relatedTarget
+ });
+
+ var transitionComplete = function transitionComplete() {
+ if (_this11._config.focus) {
+ _this11._element.focus();
+ }
+ _this11._isTransitioning = false;
+ $(_this11._element).trigger(shownEvent);
+ };
+
+ if (transition) {
+ $(this._dialog).one(Util.TRANSITION_END, transitionComplete).emulateTransitionEnd(TRANSITION_DURATION);
+ } else {
+ transitionComplete();
+ }
+ };
+
+ Modal.prototype._enforceFocus = function _enforceFocus() {
+ var _this12 = this;
+
+ $(document).off(Event.FOCUSIN) // guard against infinite focus loop
+ .on(Event.FOCUSIN, function (event) {
+ if (document !== event.target && _this12._element !== event.target && !$(_this12._element).has(event.target).length) {
+ _this12._element.focus();
+ }
+ });
+ };
+
+ Modal.prototype._setEscapeEvent = function _setEscapeEvent() {
+ var _this13 = this;
+
+ if (this._isShown && this._config.keyboard) {
+ $(this._element).on(Event.KEYDOWN_DISMISS, function (event) {
+ if (event.which === ESCAPE_KEYCODE) {
+ _this13.hide();
+ }
+ });
+ } else if (!this._isShown) {
+ $(this._element).off(Event.KEYDOWN_DISMISS);
+ }
+ };
+
+ Modal.prototype._setResizeEvent = function _setResizeEvent() {
+ var _this14 = this;
+
+ if (this._isShown) {
+ $(window).on(Event.RESIZE, function (event) {
+ return _this14._handleUpdate(event);
+ });
+ } else {
+ $(window).off(Event.RESIZE);
+ }
+ };
+
+ Modal.prototype._hideModal = function _hideModal() {
+ var _this15 = this;
+
+ this._element.style.display = 'none';
+ this._element.setAttribute('aria-hidden', 'true');
+ this._isTransitioning = false;
+ this._showBackdrop(function () {
+ $(document.body).removeClass(ClassName.OPEN);
+ _this15._resetAdjustments();
+ _this15._resetScrollbar();
+ $(_this15._element).trigger(Event.HIDDEN);
+ });
+ };
+
+ Modal.prototype._removeBackdrop = function _removeBackdrop() {
+ if (this._backdrop) {
+ $(this._backdrop).remove();
+ this._backdrop = null;
+ }
+ };
+
+ Modal.prototype._showBackdrop = function _showBackdrop(callback) {
+ var _this16 = this;
+
+ var animate = $(this._element).hasClass(ClassName.FADE) ? ClassName.FADE : '';
+
+ if (this._isShown && this._config.backdrop) {
+ var doAnimate = Util.supportsTransitionEnd() && animate;
+
+ this._backdrop = document.createElement('div');
+ this._backdrop.className = ClassName.BACKDROP;
+
+ if (animate) {
+ $(this._backdrop).addClass(animate);
+ }
+
+ $(this._backdrop).appendTo(document.body);
+
+ $(this._element).on(Event.CLICK_DISMISS, function (event) {
+ if (_this16._ignoreBackdropClick) {
+ _this16._ignoreBackdropClick = false;
+ return;
+ }
+ if (event.target !== event.currentTarget) {
+ return;
+ }
+ if (_this16._config.backdrop === 'static') {
+ _this16._element.focus();
+ } else {
+ _this16.hide();
+ }
+ });
+
+ if (doAnimate) {
+ Util.reflow(this._backdrop);
+ }
+
+ $(this._backdrop).addClass(ClassName.SHOW);
+
+ if (!callback) {
+ return;
+ }
+
+ if (!doAnimate) {
+ callback();
+ return;
+ }
+
+ $(this._backdrop).one(Util.TRANSITION_END, callback).emulateTransitionEnd(BACKDROP_TRANSITION_DURATION);
+ } else if (!this._isShown && this._backdrop) {
+ $(this._backdrop).removeClass(ClassName.SHOW);
+
+ var callbackRemove = function callbackRemove() {
+ _this16._removeBackdrop();
+ if (callback) {
+ callback();
+ }
+ };
+
+ if (Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.FADE)) {
+ $(this._backdrop).one(Util.TRANSITION_END, callbackRemove).emulateTransitionEnd(BACKDROP_TRANSITION_DURATION);
+ } else {
+ callbackRemove();
+ }
+ } else if (callback) {
+ callback();
+ }
+ };
+
+ // ----------------------------------------------------------------------
+ // the following methods are used to handle overflowing modals
+ // todo (fat): these should probably be refactored out of modal.js
+ // ----------------------------------------------------------------------
+
+ Modal.prototype._handleUpdate = function _handleUpdate() {
+ this._adjustDialog();
+ };
+
+ Modal.prototype._adjustDialog = function _adjustDialog() {
+ var isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;
+
+ if (!this._isBodyOverflowing && isModalOverflowing) {
+ this._element.style.paddingLeft = this._scrollbarWidth + 'px';
+ }
+
+ if (this._isBodyOverflowing && !isModalOverflowing) {
+ this._element.style.paddingRight = this._scrollbarWidth + 'px';
+ }
+ };
+
+ Modal.prototype._resetAdjustments = function _resetAdjustments() {
+ this._element.style.paddingLeft = '';
+ this._element.style.paddingRight = '';
+ };
+
+ Modal.prototype._checkScrollbar = function _checkScrollbar() {
+ this._isBodyOverflowing = document.body.clientWidth < window.innerWidth;
+ this._scrollbarWidth = this._getScrollbarWidth();
+ };
+
+ Modal.prototype._setScrollbar = function _setScrollbar() {
+ var bodyPadding = parseInt($(Selector.FIXED_CONTENT).css('padding-right') || 0, 10);
+
+ this._originalBodyPadding = document.body.style.paddingRight || '';
+
+ if (this._isBodyOverflowing) {
+ document.body.style.paddingRight = bodyPadding + this._scrollbarWidth + 'px';
+ }
+ };
+
+ Modal.prototype._resetScrollbar = function _resetScrollbar() {
+ document.body.style.paddingRight = this._originalBodyPadding;
+ };
+
+ Modal.prototype._getScrollbarWidth = function _getScrollbarWidth() {
+ // thx d.walsh
+ var scrollDiv = document.createElement('div');
+ scrollDiv.className = ClassName.SCROLLBAR_MEASURER;
+ document.body.appendChild(scrollDiv);
+ var scrollbarWidth = scrollDiv.offsetWidth - scrollDiv.clientWidth;
+ document.body.removeChild(scrollDiv);
+ return scrollbarWidth;
+ };
+
+ // static
+
+ Modal._jQueryInterface = function _jQueryInterface(config, relatedTarget) {
+ return this.each(function () {
+ var data = $(this).data(DATA_KEY);
+ var _config = $.extend({}, Modal.Default, $(this).data(), (typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object' && config);
+
+ if (!data) {
+ data = new Modal(this, _config);
+ $(this).data(DATA_KEY, data);
+ }
+
+ if (typeof config === 'string') {
+ if (data[config] === undefined) {
+ throw new Error('No method named "' + config + '"');
+ }
+ data[config](relatedTarget);
+ } else if (_config.show) {
+ data.show(relatedTarget);
+ }
+ });
+ };
+
+ _createClass(Modal, null, [{
+ key: 'VERSION',
+ get: function get() {
+ return VERSION;
+ }
+ }, {
+ key: 'Default',
+ get: function get() {
+ return Default;
+ }
+ }]);
+
+ return Modal;
+ }();
+
+ /**
+ * ------------------------------------------------------------------------
+ * Data Api implementation
+ * ------------------------------------------------------------------------
+ */
+
+ $(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) {
+ var _this17 = this;
+
+ var target = void 0;
+ var selector = Util.getSelectorFromElement(this);
+
+ if (selector) {
+ target = $(selector)[0];
+ }
+
+ var config = $(target).data(DATA_KEY) ? 'toggle' : $.extend({}, $(target).data(), $(this).data());
+
+ if (this.tagName === 'A' || this.tagName === 'AREA') {
+ event.preventDefault();
+ }
+
+ var $target = $(target).one(Event.SHOW, function (showEvent) {
+ if (showEvent.isDefaultPrevented()) {
+ // only register focus restorer if modal will actually get shown
+ return;
+ }
+
+ $target.one(Event.HIDDEN, function () {
+ if ($(_this17).is(':visible')) {
+ _this17.focus();
+ }
+ });
+ });
+
+ Modal._jQueryInterface.call($(target), config, this);
+ });
+
+ /**
+ * ------------------------------------------------------------------------
+ * jQuery
+ * ------------------------------------------------------------------------
+ */
+
+ $.fn[NAME] = Modal._jQueryInterface;
+ $.fn[NAME].Constructor = Modal;
+ $.fn[NAME].noConflict = function () {
+ $.fn[NAME] = JQUERY_NO_CONFLICT;
+ return Modal._jQueryInterface;
+ };
+
+ return Modal;
+}(jQuery);
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): scrollspy.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var ScrollSpy = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'scrollspy';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.scrollspy';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var DATA_API_KEY = '.data-api';
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+
+ var Default = {
+ offset: 10,
+ method: 'auto',
+ target: ''
+ };
+
+ var DefaultType = {
+ offset: 'number',
+ method: 'string',
+ target: '(string|element)'
+ };
+
+ var Event = {
+ ACTIVATE: 'activate' + EVENT_KEY,
+ SCROLL: 'scroll' + EVENT_KEY,
+ LOAD_DATA_API: 'load' + EVENT_KEY + DATA_API_KEY
+ };
+
+ var ClassName = {
+ DROPDOWN_ITEM: 'dropdown-item',
+ DROPDOWN_MENU: 'dropdown-menu',
+ NAV_LINK: 'nav-link',
+ NAV: 'nav',
+ ACTIVE: 'active'
+ };
+
+ var Selector = {
+ DATA_SPY: '[data-spy="scroll"]',
+ ACTIVE: '.active',
+ LIST_ITEM: '.list-item',
+ LI: 'li',
+ LI_DROPDOWN: 'li.dropdown',
+ NAV_LINKS: '.nav-link',
+ DROPDOWN: '.dropdown',
+ DROPDOWN_ITEMS: '.dropdown-item',
+ DROPDOWN_TOGGLE: '.dropdown-toggle'
+ };
+
+ var OffsetMethod = {
+ OFFSET: 'offset',
+ POSITION: 'position'
+ };
+
+ /**
+ * ------------------------------------------------------------------------
+ * Class Definition
+ * ------------------------------------------------------------------------
+ */
+
+ var ScrollSpy = function () {
+ function ScrollSpy(element, config) {
+ var _this18 = this;
+
+ _classCallCheck(this, ScrollSpy);
+
+ this._element = element;
+ this._scrollElement = element.tagName === 'BODY' ? window : element;
+ this._config = this._getConfig(config);
+ this._selector = this._config.target + ' ' + Selector.NAV_LINKS + ',' + (this._config.target + ' ' + Selector.DROPDOWN_ITEMS);
+ this._offsets = [];
+ this._targets = [];
+ this._activeTarget = null;
+ this._scrollHeight = 0;
+
+ $(this._scrollElement).on(Event.SCROLL, function (event) {
+ return _this18._process(event);
+ });
+
+ this.refresh();
+ this._process();
+ }
+
+ // getters
+
+ // public
+
+ ScrollSpy.prototype.refresh = function refresh() {
+ var _this19 = this;
+
+ var autoMethod = this._scrollElement !== this._scrollElement.window ? OffsetMethod.POSITION : OffsetMethod.OFFSET;
+
+ var offsetMethod = this._config.method === 'auto' ? autoMethod : this._config.method;
+
+ var offsetBase = offsetMethod === OffsetMethod.POSITION ? this._getScrollTop() : 0;
+
+ this._offsets = [];
+ this._targets = [];
+
+ this._scrollHeight = this._getScrollHeight();
+
+ var targets = $.makeArray($(this._selector));
+
+ targets.map(function (element) {
+ var target = void 0;
+ var targetSelector = Util.getSelectorFromElement(element);
+
+ if (targetSelector) {
+ target = $(targetSelector)[0];
+ }
+
+ if (target && (target.offsetWidth || target.offsetHeight)) {
+ // todo (fat): remove sketch reliance on jQuery position/offset
+ return [$(target)[offsetMethod]().top + offsetBase, targetSelector];
+ }
+ return null;
+ }).filter(function (item) {
+ return item;
+ }).sort(function (a, b) {
+ return a[0] - b[0];
+ }).forEach(function (item) {
+ _this19._offsets.push(item[0]);
+ _this19._targets.push(item[1]);
+ });
+ };
+
+ ScrollSpy.prototype.dispose = function dispose() {
+ $.removeData(this._element, DATA_KEY);
+ $(this._scrollElement).off(EVENT_KEY);
+
+ this._element = null;
+ this._scrollElement = null;
+ this._config = null;
+ this._selector = null;
+ this._offsets = null;
+ this._targets = null;
+ this._activeTarget = null;
+ this._scrollHeight = null;
+ };
+
+ // private
+
+ ScrollSpy.prototype._getConfig = function _getConfig(config) {
+ config = $.extend({}, Default, config);
+
+ if (typeof config.target !== 'string') {
+ var id = $(config.target).attr('id');
+ if (!id) {
+ id = Util.getUID(NAME);
+ $(config.target).attr('id', id);
+ }
+ config.target = '#' + id;
+ }
+
+ Util.typeCheckConfig(NAME, config, DefaultType);
+
+ return config;
+ };
+
+ ScrollSpy.prototype._getScrollTop = function _getScrollTop() {
+ return this._scrollElement === window ? this._scrollElement.pageYOffset : this._scrollElement.scrollTop;
+ };
+
+ ScrollSpy.prototype._getScrollHeight = function _getScrollHeight() {
+ return this._scrollElement.scrollHeight || Math.max(document.body.scrollHeight, document.documentElement.scrollHeight);
+ };
+
+ ScrollSpy.prototype._getOffsetHeight = function _getOffsetHeight() {
+ return this._scrollElement === window ? window.innerHeight : this._scrollElement.offsetHeight;
+ };
+
+ ScrollSpy.prototype._process = function _process() {
+ var scrollTop = this._getScrollTop() + this._config.offset;
+ var scrollHeight = this._getScrollHeight();
+ var maxScroll = this._config.offset + scrollHeight - this._getOffsetHeight();
+
+ if (this._scrollHeight !== scrollHeight) {
+ this.refresh();
+ }
+
+ if (scrollTop >= maxScroll) {
+ var target = this._targets[this._targets.length - 1];
+
+ if (this._activeTarget !== target) {
+ this._activate(target);
+ }
+ return;
+ }
+
+ if (this._activeTarget && scrollTop < this._offsets[0] && this._offsets[0] > 0) {
+ this._activeTarget = null;
+ this._clear();
+ return;
+ }
+
+ for (var i = this._offsets.length; i--;) {
+ var isActiveTarget = this._activeTarget !== this._targets[i] && scrollTop >= this._offsets[i] && (this._offsets[i + 1] === undefined || scrollTop < this._offsets[i + 1]);
+
+ if (isActiveTarget) {
+ this._activate(this._targets[i]);
+ }
+ }
+ };
+
+ ScrollSpy.prototype._activate = function _activate(target) {
+ this._activeTarget = target;
+
+ this._clear();
+
+ var queries = this._selector.split(',');
+ queries = queries.map(function (selector) {
+ return selector + '[data-target="' + target + '"],' + (selector + '[href="' + target + '"]');
+ });
+
+ var $link = $(queries.join(','));
+
+ if ($link.hasClass(ClassName.DROPDOWN_ITEM)) {
+ $link.closest(Selector.DROPDOWN).find(Selector.DROPDOWN_TOGGLE).addClass(ClassName.ACTIVE);
+ $link.addClass(ClassName.ACTIVE);
+ } else {
+ // todo (fat) this is kinda sus...
+ // recursively add actives to tested nav-links
+ $link.parents(Selector.LI).find('> ' + Selector.NAV_LINKS).addClass(ClassName.ACTIVE);
+ }
+
+ $(this._scrollElement).trigger(Event.ACTIVATE, {
+ relatedTarget: target
+ });
+ };
+
+ ScrollSpy.prototype._clear = function _clear() {
+ $(this._selector).filter(Selector.ACTIVE).removeClass(ClassName.ACTIVE);
+ };
+
+ // static
+
+ ScrollSpy._jQueryInterface = function _jQueryInterface(config) {
+ return this.each(function () {
+ var data = $(this).data(DATA_KEY);
+ var _config = (typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object' && config;
+
+ if (!data) {
+ data = new ScrollSpy(this, _config);
+ $(this).data(DATA_KEY, data);
+ }
+
+ if (typeof config === 'string') {
+ if (data[config] === undefined) {
+ throw new Error('No method named "' + config + '"');
+ }
+ data[config]();
+ }
+ });
+ };
+
+ _createClass(ScrollSpy, null, [{
+ key: 'VERSION',
+ get: function get() {
+ return VERSION;
+ }
+ }, {
+ key: 'Default',
+ get: function get() {
+ return Default;
+ }
+ }]);
+
+ return ScrollSpy;
+ }();
+
+ /**
+ * ------------------------------------------------------------------------
+ * Data Api implementation
+ * ------------------------------------------------------------------------
+ */
+
+ $(window).on(Event.LOAD_DATA_API, function () {
+ var scrollSpys = $.makeArray($(Selector.DATA_SPY));
+
+ for (var i = scrollSpys.length; i--;) {
+ var $spy = $(scrollSpys[i]);
+ ScrollSpy._jQueryInterface.call($spy, $spy.data());
+ }
+ });
+
+ /**
+ * ------------------------------------------------------------------------
+ * jQuery
+ * ------------------------------------------------------------------------
+ */
+
+ $.fn[NAME] = ScrollSpy._jQueryInterface;
+ $.fn[NAME].Constructor = ScrollSpy;
+ $.fn[NAME].noConflict = function () {
+ $.fn[NAME] = JQUERY_NO_CONFLICT;
+ return ScrollSpy._jQueryInterface;
+ };
+
+ return ScrollSpy;
+}(jQuery);
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): tab.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Tab = function ($) {
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'tab';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.tab';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var DATA_API_KEY = '.data-api';
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+ var TRANSITION_DURATION = 150;
+
+ var Event = {
+ HIDE: 'hide' + EVENT_KEY,
+ HIDDEN: 'hidden' + EVENT_KEY,
+ SHOW: 'show' + EVENT_KEY,
+ SHOWN: 'shown' + EVENT_KEY,
+ CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY
+ };
+
+ var ClassName = {
+ DROPDOWN_MENU: 'dropdown-menu',
+ ACTIVE: 'active',
+ DISABLED: 'disabled',
+ FADE: 'fade',
+ SHOW: 'show'
+ };
+
+ var Selector = {
+ A: 'a',
+ LI: 'li',
+ DROPDOWN: '.dropdown',
+ LIST: 'ul:not(.dropdown-menu), ol:not(.dropdown-menu), nav:not(.dropdown-menu)',
+ FADE_CHILD: '> .nav-item .fade, > .fade',
+ ACTIVE: '.active',
+ ACTIVE_CHILD: '> .nav-item > .active, > .active',
+ DATA_TOGGLE: '[data-toggle="tab"], [data-toggle="pill"]',
+ DROPDOWN_TOGGLE: '.dropdown-toggle',
+ DROPDOWN_ACTIVE_CHILD: '> .dropdown-menu .active'
+ };
+
+ /**
+ * ------------------------------------------------------------------------
+ * Class Definition
+ * ------------------------------------------------------------------------
+ */
+
+ var Tab = function () {
+ function Tab(element) {
+ _classCallCheck(this, Tab);
+
+ this._element = element;
+ }
+
+ // getters
+
+ // public
+
+ Tab.prototype.show = function show() {
+ var _this20 = this;
+
+ if (this._element.parentNode && this._element.parentNode.nodeType === Node.ELEMENT_NODE && $(this._element).hasClass(ClassName.ACTIVE) || $(this._element).hasClass(ClassName.DISABLED)) {
+ return;
+ }
+
+ var target = void 0;
+ var previous = void 0;
+ var listElement = $(this._element).closest(Selector.LIST)[0];
+ var selector = Util.getSelectorFromElement(this._element);
+
+ if (listElement) {
+ previous = $.makeArray($(listElement).find(Selector.ACTIVE));
+ previous = previous[previous.length - 1];
+ }
+
+ var hideEvent = $.Event(Event.HIDE, {
+ relatedTarget: this._element
+ });
+
+ var showEvent = $.Event(Event.SHOW, {
+ relatedTarget: previous
+ });
+
+ if (previous) {
+ $(previous).trigger(hideEvent);
+ }
+
+ $(this._element).trigger(showEvent);
+
+ if (showEvent.isDefaultPrevented() || hideEvent.isDefaultPrevented()) {
+ return;
+ }
+
+ if (selector) {
+ target = $(selector)[0];
+ }
+
+ this._activate(this._element, listElement);
+
+ var complete = function complete() {
+ var hiddenEvent = $.Event(Event.HIDDEN, {
+ relatedTarget: _this20._element
+ });
+
+ var shownEvent = $.Event(Event.SHOWN, {
+ relatedTarget: previous
+ });
+
+ $(previous).trigger(hiddenEvent);
+ $(_this20._element).trigger(shownEvent);
+ };
+
+ if (target) {
+ this._activate(target, target.parentNode, complete);
+ } else {
+ complete();
+ }
+ };
+
+ Tab.prototype.dispose = function dispose() {
+ $.removeClass(this._element, DATA_KEY);
+ this._element = null;
+ };
+
+ // private
+
+ Tab.prototype._activate = function _activate(element, container, callback) {
+ var _this21 = this;
+
+ var active = $(container).find(Selector.ACTIVE_CHILD)[0];
+ var isTransitioning = callback && Util.supportsTransitionEnd() && (active && $(active).hasClass(ClassName.FADE) || Boolean($(container).find(Selector.FADE_CHILD)[0]));
+
+ var complete = function complete() {
+ return _this21._transitionComplete(element, active, isTransitioning, callback);
+ };
+
+ if (active && isTransitioning) {
+ $(active).one(Util.TRANSITION_END, complete).emulateTransitionEnd(TRANSITION_DURATION);
+ } else {
+ complete();
+ }
+
+ if (active) {
+ $(active).removeClass(ClassName.SHOW);
+ }
+ };
+
+ Tab.prototype._transitionComplete = function _transitionComplete(element, active, isTransitioning, callback) {
+ if (active) {
+ $(active).removeClass(ClassName.ACTIVE);
+
+ var dropdownChild = $(active.parentNode).find(Selector.DROPDOWN_ACTIVE_CHILD)[0];
+
+ if (dropdownChild) {
+ $(dropdownChild).removeClass(ClassName.ACTIVE);
+ }
+
+ active.setAttribute('aria-expanded', false);
+ }
+
+ $(element).addClass(ClassName.ACTIVE);
+ element.setAttribute('aria-expanded', true);
+
+ if (isTransitioning) {
+ Util.reflow(element);
+ $(element).addClass(ClassName.SHOW);
+ } else {
+ $(element).removeClass(ClassName.FADE);
+ }
+
+ if (element.parentNode && $(element.parentNode).hasClass(ClassName.DROPDOWN_MENU)) {
+
+ var dropdownElement = $(element).closest(Selector.DROPDOWN)[0];
+ if (dropdownElement) {
+ $(dropdownElement).find(Selector.DROPDOWN_TOGGLE).addClass(ClassName.ACTIVE);
+ }
+
+ element.setAttribute('aria-expanded', true);
+ }
+
+ if (callback) {
+ callback();
+ }
+ };
+
+ // static
+
+ Tab._jQueryInterface = function _jQueryInterface(config) {
+ return this.each(function () {
+ var $this = $(this);
+ var data = $this.data(DATA_KEY);
+
+ if (!data) {
+ data = new Tab(this);
+ $this.data(DATA_KEY, data);
+ }
+
+ if (typeof config === 'string') {
+ if (data[config] === undefined) {
+ throw new Error('No method named "' + config + '"');
+ }
+ data[config]();
+ }
+ });
+ };
+
+ _createClass(Tab, null, [{
+ key: 'VERSION',
+ get: function get() {
+ return VERSION;
+ }
+ }]);
+
+ return Tab;
+ }();
+
+ /**
+ * ------------------------------------------------------------------------
+ * Data Api implementation
+ * ------------------------------------------------------------------------
+ */
+
+ $(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) {
+ event.preventDefault();
+ Tab._jQueryInterface.call($(this), 'show');
+ });
+
+ /**
+ * ------------------------------------------------------------------------
+ * jQuery
+ * ------------------------------------------------------------------------
+ */
+
+ $.fn[NAME] = Tab._jQueryInterface;
+ $.fn[NAME].Constructor = Tab;
+ $.fn[NAME].noConflict = function () {
+ $.fn[NAME] = JQUERY_NO_CONFLICT;
+ return Tab._jQueryInterface;
+ };
+
+ return Tab;
+}(jQuery);
+
+/* global Tether */
+
+/**
+ * --------------------------------------------------------------------------
+ * Bootstrap (v4.0.0-alpha.6): tooltip.js
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * --------------------------------------------------------------------------
+ */
+
+var Tooltip = function ($) {
+
+ /**
+ * Check for Tether dependency
+ * Tether - http://tether.io/
+ */
+ if (typeof Tether === 'undefined') {
+ throw new Error('Bootstrap tooltips require Tether (http://tether.io/)');
+ }
+
+ /**
+ * ------------------------------------------------------------------------
+ * Constants
+ * ------------------------------------------------------------------------
+ */
+
+ var NAME = 'tooltip';
+ var VERSION = '4.0.0-alpha.6';
+ var DATA_KEY = 'bs.tooltip';
+ var EVENT_KEY = '.' + DATA_KEY;
+ var JQUERY_NO_CONFLICT = $.fn[NAME];
+ var TRANSITION_DURATION = 150;
+ var CLASS_PREFIX = 'bs-tether';
+
+ var Default = {
+ animation: true,
+ template: '
',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:"0 0",constraints:[],container:!1},f={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"string",constraints:"array",container:"(string|element|boolean)"},_={TOP:"bottom center",RIGHT:"middle left",BOTTOM:"top center",LEFT:"middle right"},g={SHOW:"show",OUT:"out"},p={HIDE:"hide"+l,HIDDEN:"hidden"+l,SHOW:"show"+l,SHOWN:"shown"+l,INSERTED:"inserted"+l,CLICK:"click"+l,FOCUSIN:"focusin"+l,FOCUSOUT:"focusout"+l,MOUSEENTER:"mouseenter"+l,MOUSELEAVE:"mouseleave"+l},m={FADE:"fade",SHOW:"show"},E={TOOLTIP:".tooltip",TOOLTIP_INNER:".tooltip-inner"},v={element:!1,enabled:!1},T={HOVER:"hover",FOCUS:"focus",CLICK:"click",MANUAL:"manual"},I=function(){function h(t,e){n(this,h),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._isTransitioning=!1,this._tether=null,this.element=t,this.config=this._getConfig(e),this.tip=null,this._setListeners()}return h.prototype.enable=function(){this._isEnabled=!0},h.prototype.disable=function(){this._isEnabled=!1},h.prototype.toggleEnabled=function(){this._isEnabled=!this._isEnabled},h.prototype.toggle=function(e){if(e){var n=this.constructor.DATA_KEY,i=t(e.currentTarget).data(n);i||(i=new this.constructor(e.currentTarget,this._getDelegateConfig()),t(e.currentTarget).data(n,i)),i._activeTrigger.click=!i._activeTrigger.click,i._isWithActiveTrigger()?i._enter(null,i):i._leave(null,i)}else{if(t(this.getTipElement()).hasClass(m.SHOW))return void this._leave(null,this);this._enter(null,this)}},h.prototype.dispose=function(){clearTimeout(this._timeout),this.cleanupTether(),t.removeData(this.element,this.constructor.DATA_KEY),t(this.element).off(this.constructor.EVENT_KEY),t(this.element).closest(".modal").off("hide.bs.modal"),this.tip&&t(this.tip).remove(),this._isEnabled=null,this._timeout=null,this._hoverState=null,this._activeTrigger=null,this._tether=null,this.element=null,this.config=null,this.tip=null},h.prototype.show=function(){var e=this;if("none"===t(this.element).css("display"))throw new Error("Please use show on visible elements");var n=t.Event(this.constructor.Event.SHOW);if(this.isWithContent()&&this._isEnabled){if(this._isTransitioning)throw new Error("Tooltip is transitioning");t(this.element).trigger(n);var i=t.contains(this.element.ownerDocument.documentElement,this.element);if(n.isDefaultPrevented()||!i)return;var o=this.getTipElement(),s=r.getUID(this.constructor.NAME);o.setAttribute("id",s),this.element.setAttribute("aria-describedby",s),this.setContent(),this.config.animation&&t(o).addClass(m.FADE);var a="function"==typeof this.config.placement?this.config.placement.call(this,o,this.element):this.config.placement,l=this._getAttachment(a),c=this.config.container===!1?document.body:t(this.config.container);t(o).data(this.constructor.DATA_KEY,this).appendTo(c),t(this.element).trigger(this.constructor.Event.INSERTED),this._tether=new Tether({attachment:l,element:o,target:this.element,classes:v,classPrefix:u,offset:this.config.offset,constraints:this.config.constraints,addTargetClasses:!1}),r.reflow(o),this._tether.position(),t(o).addClass(m.SHOW);var d=function(){var n=e._hoverState;e._hoverState=null,e._isTransitioning=!1,t(e.element).trigger(e.constructor.Event.SHOWN),n===g.OUT&&e._leave(null,e)};if(r.supportsTransitionEnd()&&t(this.tip).hasClass(m.FADE))return this._isTransitioning=!0,void t(this.tip).one(r.TRANSITION_END,d).emulateTransitionEnd(h._TRANSITION_DURATION);d()}},h.prototype.hide=function(e){var n=this,i=this.getTipElement(),o=t.Event(this.constructor.Event.HIDE);if(this._isTransitioning)throw new Error("Tooltip is transitioning");var s=function(){n._hoverState!==g.SHOW&&i.parentNode&&i.parentNode.removeChild(i),n.element.removeAttribute("aria-describedby"),t(n.element).trigger(n.constructor.Event.HIDDEN),n._isTransitioning=!1,n.cleanupTether(),e&&e()};t(this.element).trigger(o),o.isDefaultPrevented()||(t(i).removeClass(m.SHOW),this._activeTrigger[T.CLICK]=!1,this._activeTrigger[T.FOCUS]=!1,this._activeTrigger[T.HOVER]=!1,r.supportsTransitionEnd()&&t(this.tip).hasClass(m.FADE)?(this._isTransitioning=!0,t(i).one(r.TRANSITION_END,s).emulateTransitionEnd(c)):s(),this._hoverState="")},h.prototype.isWithContent=function(){return Boolean(this.getTitle())},h.prototype.getTipElement=function(){return this.tip=this.tip||t(this.config.template)[0]},h.prototype.setContent=function(){var e=t(this.getTipElement());this.setElementContent(e.find(E.TOOLTIP_INNER),this.getTitle()),e.removeClass(m.FADE+" "+m.SHOW),this.cleanupTether()},h.prototype.setElementContent=function(e,n){var o=this.config.html;"object"===("undefined"==typeof n?"undefined":i(n))&&(n.nodeType||n.jquery)?o?t(n).parent().is(e)||e.empty().append(n):e.text(t(n).text()):e[o?"html":"text"](n)},h.prototype.getTitle=function(){var t=this.element.getAttribute("data-original-title");return t||(t="function"==typeof this.config.title?this.config.title.call(this.element):this.config.title),t},h.prototype.cleanupTether=function(){this._tether&&this._tether.destroy()},h.prototype._getAttachment=function(t){return _[t.toUpperCase()]},h.prototype._setListeners=function(){var e=this,n=this.config.trigger.split(" ");n.forEach(function(n){if("click"===n)t(e.element).on(e.constructor.Event.CLICK,e.config.selector,function(t){return e.toggle(t)});else if(n!==T.MANUAL){var i=n===T.HOVER?e.constructor.Event.MOUSEENTER:e.constructor.Event.FOCUSIN,o=n===T.HOVER?e.constructor.Event.MOUSELEAVE:e.constructor.Event.FOCUSOUT;t(e.element).on(i,e.config.selector,function(t){return e._enter(t)}).on(o,e.config.selector,function(t){return e._leave(t)})}t(e.element).closest(".modal").on("hide.bs.modal",function(){return e.hide()})}),this.config.selector?this.config=t.extend({},this.config,{trigger:"manual",selector:""}):this._fixTitle()},h.prototype._fixTitle=function(){var t=i(this.element.getAttribute("data-original-title"));(this.element.getAttribute("title")||"string"!==t)&&(this.element.setAttribute("data-original-title",this.element.getAttribute("title")||""),this.element.setAttribute("title",""))},h.prototype._enter=function(e,n){var i=this.constructor.DATA_KEY;return n=n||t(e.currentTarget).data(i),n||(n=new this.constructor(e.currentTarget,this._getDelegateConfig()),t(e.currentTarget).data(i,n)),e&&(n._activeTrigger["focusin"===e.type?T.FOCUS:T.HOVER]=!0),t(n.getTipElement()).hasClass(m.SHOW)||n._hoverState===g.SHOW?void(n._hoverState=g.SHOW):(clearTimeout(n._timeout),n._hoverState=g.SHOW,n.config.delay&&n.config.delay.show?void(n._timeout=setTimeout(function(){n._hoverState===g.SHOW&&n.show()},n.config.delay.show)):void n.show())},h.prototype._leave=function(e,n){var i=this.constructor.DATA_KEY;if(n=n||t(e.currentTarget).data(i),n||(n=new this.constructor(e.currentTarget,this._getDelegateConfig()),t(e.currentTarget).data(i,n)),e&&(n._activeTrigger["focusout"===e.type?T.FOCUS:T.HOVER]=!1),!n._isWithActiveTrigger())return clearTimeout(n._timeout),n._hoverState=g.OUT,n.config.delay&&n.config.delay.hide?void(n._timeout=setTimeout(function(){n._hoverState===g.OUT&&n.hide()},n.config.delay.hide)):void n.hide()},h.prototype._isWithActiveTrigger=function(){for(var t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1},h.prototype._getConfig=function(n){return n=t.extend({},this.constructor.Default,t(this.element).data(),n),n.delay&&"number"==typeof n.delay&&(n.delay={show:n.delay,hide:n.delay}),r.typeCheckConfig(e,n,this.constructor.DefaultType),n},h.prototype._getDelegateConfig=function(){var t={};if(this.config)for(var e in this.config)this.constructor.Default[e]!==this.config[e]&&(t[e]=this.config[e]);return t},h._jQueryInterface=function(e){return this.each(function(){var n=t(this).data(a),o="object"===("undefined"==typeof e?"undefined":i(e))&&e;if((n||!/dispose|hide/.test(e))&&(n||(n=new h(this,o),t(this).data(a,n)),"string"==typeof e)){if(void 0===n[e])throw new Error('No method named "'+e+'"');n[e]()}})},o(h,null,[{key:"VERSION",get:function(){return s}},{key:"Default",get:function(){return d}},{key:"NAME",get:function(){return e}},{key:"DATA_KEY",get:function(){return a}},{key:"Event",get:function(){return p}},{key:"EVENT_KEY",get:function(){return l}},{key:"DefaultType",get:function(){return f}}]),h}();return t.fn[e]=I._jQueryInterface,t.fn[e].Constructor=I,t.fn[e].noConflict=function(){return t.fn[e]=h,I._jQueryInterface},I}(jQuery));(function(r){var a="popover",l="4.0.0-alpha.6",h="bs.popover",c="."+h,u=r.fn[a],d=r.extend({},s.Default,{placement:"right",trigger:"click",content:"",template:'
'}),f=r.extend({},s.DefaultType,{content:"(string|element|function)"}),_={FADE:"fade",SHOW:"show"},g={TITLE:".popover-title",CONTENT:".popover-content"},p={HIDE:"hide"+c,HIDDEN:"hidden"+c,SHOW:"show"+c,SHOWN:"shown"+c,INSERTED:"inserted"+c,CLICK:"click"+c,FOCUSIN:"focusin"+c,FOCUSOUT:"focusout"+c,MOUSEENTER:"mouseenter"+c,MOUSELEAVE:"mouseleave"+c},m=function(s){function u(){return n(this,u),t(this,s.apply(this,arguments))}return e(u,s),u.prototype.isWithContent=function(){return this.getTitle()||this._getContent()},u.prototype.getTipElement=function(){return this.tip=this.tip||r(this.config.template)[0]},u.prototype.setContent=function(){var t=r(this.getTipElement());this.setElementContent(t.find(g.TITLE),this.getTitle()),this.setElementContent(t.find(g.CONTENT),this._getContent()),t.removeClass(_.FADE+" "+_.SHOW),this.cleanupTether()},u.prototype._getContent=function(){return this.element.getAttribute("data-content")||("function"==typeof this.config.content?this.config.content.call(this.element):this.config.content)},u._jQueryInterface=function(t){return this.each(function(){var e=r(this).data(h),n="object"===("undefined"==typeof t?"undefined":i(t))?t:null;if((e||!/destroy|hide/.test(t))&&(e||(e=new u(this,n),r(this).data(h,e)),"string"==typeof t)){if(void 0===e[t])throw new Error('No method named "'+t+'"');e[t]()}})},o(u,null,[{key:"VERSION",get:function(){return l}},{key:"Default",get:function(){return d}},{key:"NAME",get:function(){return a}},{key:"DATA_KEY",get:function(){return h}},{key:"Event",get:function(){return p}},{key:"EVENT_KEY",get:function(){return c}},{key:"DefaultType",get:function(){return f}}]),u}(s);return r.fn[a]=m._jQueryInterface,r.fn[a].Constructor=m,r.fn[a].noConflict=function(){return r.fn[a]=u,m._jQueryInterface},m})(jQuery)}();
\ No newline at end of file
diff --git a/jupyter.md b/jupyter.md
new file mode 100644
index 0000000..d2549d9
--- /dev/null
+++ b/jupyter.md
@@ -0,0 +1,27 @@
+---
+layout: default
+title: Using a Jupyter Notebook
+---
+## Using a Jupyter Notebook
+
+You can view and execute the R or Python code for this solution in a Jupyter Notebook by following these instructions.
+
+## Start Jupyter Notebook
+
+Open a Powershell or Terminal window and execute the following:
+
+```
+ cd c:\Solutions\{{ site.folder_name }}
+ jupyter notebook
+```
+
+After a moment, the browser window will open.
+
+Navigate to the **R** directory to run the R notebook, or the **Python** directory for the Python notebook. Select the `ML Server` kernel for the Python notebook.
+
+The notebooks step through all the same steps as described in the [For the Data Scientist](data-scientist.html) page.
+
+
+## Using Jupyter
+
+To execute the code in a cell, `Shift+Enter` when your cursor is in the cell. Some of the cells may take a minute or two to work, and must be complete before the next cell can execute. You can also select the `Cell>Run All` menu item to execute the entire notebook.
diff --git a/local.md b/local.md
new file mode 100644
index 0000000..50af723
--- /dev/null
+++ b/local.md
@@ -0,0 +1,19 @@
+---
+layout: default
+title: Quick Start
+---
+
+## Quick Start
+-----------------
+
+There are multiple ways you can try this solution package out for yourself.
+
+* Visit the [Quick Start page](quick.html) and use the `Deploy to Azure` button. All necessary software will be installed and configured for you as well as the initial deployment of the solution. You will be all set to explore the code and [try out the model](jupyter.html) on the deployed virtual machine.
+
+* For an On-Prem installation:
+
+ * Follow [these instructions](SetupSQL.html) to setup the server.
+
+ * Once the server is configured, use the [PowerShell Instructions](Powershell_Instructions.html) for a quick deployment of the solution.
+
+* You can then follow the steps in [For the Data Scientist](data-scientist.html) or [For the Database Analyst](dba.html).
\ No newline at end of file
diff --git a/quick.md b/quick.md
new file mode 100644
index 0000000..c9f2fe6
--- /dev/null
+++ b/quick.md
@@ -0,0 +1,18 @@
+---
+layout: default
+title: Quick Start
+---
+
+## Quick Start
+-----------------
+
+ There are multiple ways you can try this solution package out for yourself.
+
+## {{ site.cig_text }}
+* For **{{ site.cig_text }}**: Use the button below to deploy the solution. All necessary software will be installed and configured for you as well as the initial deployment of the solution. You will be all set to explore the code and [try out the model](testmodel.html) on the deployed virtual machine.
+[](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FMicrosoft%2Fml-server-text-classification%2Fmaster%2FArmTemplates%2Ftextclassification_arm.json)
+
+## {{ site.onp_text }}
+* For an **{{ site.onp_text }}** installation, follow [these instructions](SetupSQL.html) to setup the server.
+
+ * Once the server is configured, you can use the [PowerShell Instructions](Powershell_Instructions.html) for a quick deployment of all tables to your own machine.
\ No newline at end of file
diff --git a/sitemap.md b/sitemap.md
new file mode 100644
index 0000000..d77b439
--- /dev/null
+++ b/sitemap.md
@@ -0,0 +1,21 @@
+---
+layout: default
+title: Site Map
+---
+
+## Site Map
+-----------
+
+* [Home](index.html)
+* [For the Data Scientist](data-scientist.html)
+ * [Setup for Local Code Execution](local.html)
+ * [Using a Jupyter Notebook](jupyter.html)
+* [For the Database Analyst](dba.html)
+* [Quick Start](quick.html)
+ * [On-Prem: Setup SQL Server](SetupSQL.html)
+ * [PowerShell Instructions](Powershell_Instructions.html)
+ * [Set up Connection between SQL Server and PowerBI](ODBC.html)
+ * [Input Data](input_data.html)
+ * [Description of Database Tables](tables.html)
+
+* [Template Contents](contents.html)
\ No newline at end of file
diff --git a/stylesheets/bootstrap.min.css b/stylesheets/bootstrap.min.css
new file mode 100644
index 0000000..a8da074
--- /dev/null
+++ b/stylesheets/bootstrap.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Bootstrap v4.0.0-alpha.6 (https://getbootstrap.com)
+ * Copyright 2011-2017 The Bootstrap Authors
+ * Copyright 2011-2017 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ *//*! normalize.css v5.0.0 | MIT License | github.com/necolas/normalize.css */html{font-family:sans-serif;line-height:1.15;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,footer,header,nav,section{display:block}h1{font-size:2em;margin:.67em 0}figcaption,figure,main{display:block}figure{margin:1em 40px}hr{-webkit-box-sizing:content-box;box-sizing:content-box;height:0;overflow:visible}pre{font-family:monospace,monospace;font-size:1em}a{background-color:transparent;-webkit-text-decoration-skip:objects}a:active,a:hover{outline-width:0}abbr[title]{border-bottom:none;text-decoration:underline;text-decoration:underline 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diff --git a/stylesheets/mystyles.css b/stylesheets/mystyles.css
new file mode 100644
index 0000000..8678889
--- /dev/null
+++ b/stylesheets/mystyles.css
@@ -0,0 +1,69 @@
+
+figure {
+ display: inline-block;
+}
+.mid td {
+ vertical-align: middle;
+}
+img {
+ height: auto;
+ max-width: 100%;
+}
+.toc {
+ font-size:0.9em;
+ margin-top:16px;
+ margin-bottom: 16px;
+}
+.toc li {
+ list-style-type:none;
+ padding:0;
+ margin-left:0px;
+ text-align: left;
+}
+code {
+ text-align: left;
+}
+.btn-info {
+ background-color: #5C2D91;
+ border-color: #5C2D91;
+}
+.btn {
+ border:none;
+ -webkit-box-shadow:none;
+ -moz-box-shadow:none;
+ box-shadow:none;
+ -webkit-border-radius:3px;
+ -moz-border-radius:3px;
+ border-radius:3px;
+}
+.teal {
+ color: #5C2D91;
+}
+h2 {
+ font-size:1.8rem;
+ font-weight: 500;
+}
+h3 {
+ font-size:1.1rem;
+ font-weight: 600;
+}
+a {
+ color: #5C2D91;
+ font-weight: 600;
+}
+body {
+ font-family: "Segoe UI", Frutiger, "Frutiger Linotype", "Dejavu Sans", "Helvetica Neue", Arial, sans-serif;
+ margin-top: 20px;
+ color: #2C3137;
+ text-align: justify;
+}
+.details {
+ font-family: 'Segoe UI Semibold';
+ font-size: 12px;
+ line-height: 14px;
+ letter-spacing: 0.25px;
+ text-transform: uppercase;
+}
+.center {
+ text-align: center;
+}
diff --git a/tables.md b/tables.md
new file mode 100644
index 0000000..1a21d1d
--- /dev/null
+++ b/tables.md
@@ -0,0 +1,68 @@
+---
+layout: default
+title: Description of Database Tables
+---
+
+## SQL Database Tables and Stored Procedures
+-----------------------
+
+Below are the data tables that you will find in either the `{{ site.db_name }}_R` or `{{ site.db_name }}_Py` databases after deployment.
+
+
+
+
+
Table
+
Description
+
+
+
+
+
dbo.Label_Names
+
Names associated with each of the 20 labels
+
+
+
dbo.Metrics
+
Metrics for the trained model
+
+
+
dbo.Model
+
Trained model
+
+
+
dbo.News_Test
+
News items in the test set
+
+
+
dbo.News_To_Score
+
News items to score
+
+
+
dbo.News_Train
+
News items for training the model
+
+
+
+
+The following stored procedures are used in this solutions in either the `{{ site.db_name }}_R` or `{{ site.db_name }}_Py` databases:
+
+
+
+
Stored Procedure
+
Description
+
+
+
+
+
dbo.evaluate
Evaluates the performance of the model
+
+
+
dbo.initial_Run_Once_R dbo.initial_Run_Once_Py
Runs the training workflow natively in SQL for this solution
+
+
+
dbo.score
Creates features on the fly for the testing set and makes predictions
+
+
+
dbo.train_model
Creates features on the fly for the training set and train the multiclass logistic regression model
+
+
+
\ No newline at end of file
diff --git a/visualize.md b/visualize.md
new file mode 100644
index 0000000..1845c22
--- /dev/null
+++ b/visualize.md
@@ -0,0 +1,20 @@
+---
+layout: default
+title: Visualize Results
+---
+
+## Visualize Results
+----------------------------
+The Power BI file **TextClassification.pbix** included with this solution can be used to visualize how the model performs in classifying new text.
+
+The report contains a [wordcloud custom visual](https://appsource.microsoft.com/en-us/product/power-bi-visuals/WA104380752?src=office). When you first open the file, you must consent to enable this custom visual.
+
+On the `Training Summary` tab, you can see the predicted and actual labels for the Test data, along with the Micro Average Accuracy and Macro Average Accuracy values.
+
+
+
+On the `Scoring New Text` tab you can view the predicted labels for new text.
+
+
+
+The intial version of this file contains cached data. You can refresh the
+ 
+
+On the `Scoring New Text` tab you can view the predicted labels for new text.
+
+
+
+## Template Contents
+---------------------
+
+[View the contents of this solution template](contents.html).
+
+
+To try this out yourself:
+
+* View the [Quick Start](quick.html).
+
+[< Home](index.html)
diff --git a/_includes/inputdata.html b/_includes/inputdata.html
new file mode 100644
index 0000000..3493aa0
--- /dev/null
+++ b/_includes/inputdata.html
@@ -0,0 +1 @@
+This solution uses a preprocessed version of [NewsGroups20](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html), containing a Subject, a Text, and a Label. It has a similar structure to a support ticket data set which would also have two data fields: Title, and Problem description. Thus, you can easily change this solution to use your support ticket data simply by providing the same structure for the test and train datasets.
diff --git a/_includes/pysetup.html b/_includes/pysetup.html
new file mode 100644
index 0000000..7c575ac
--- /dev/null
+++ b/_includes/pysetup.html
@@ -0,0 +1,9 @@
+