Clicking on any of the bars displays a list of students for that
  particular action (either opened the subsection or attempted the
  problem).
  Students are listed for the sub-sections.
  Students, grade and percent are listed for the problems.
  The on-screen list displays only the first 250 students with
  an overflow message if there are more students than that.
  The csv download lists all students.

remove unnecessary code, and clarify what it's doing.

This commit allows us to test the server error template by visiting `/500`. This
way, we can catch errors in our error templates, instead of having infinitely
recursing errors.

third_party_auth contains a working settings mechanism, the start of the provider interface + 3 implementations (Google, Mozilla Persona, LinkedIn), and a stub for the auth pipeline. Modified existing lms settings files to use but deactivate the module.

Metrics tab shows student data:
  -Count of students opened a subsection
  -Grade distribution per problem

for each section/subsection of the course.

Implemented for both the old and beta dashboard
Controlled by a feature flag 'CLASS_DASHBOARD'
Data is aggregated across all students
Aggregate data computed from courseware_studentmodule

Adds configurable middleware in common/djangoapps/embargo that
allows specific courses to comply with US Export regulations by
embargoing students from specific countries, whilst simultaneously
allowing other courses to be freely open to all.

First set of fixes from the pull request

This does not include some of the testing files. The textannotation and
videoannotation test files are not ready. waiting for an answer on the
issue.

Deleted token line in api.py and added test for token generator

Added notes_spec.coffee

remove spec file

fixed minor error with the test

fixes some quality errors

fixed unit test

fixed unit test

added advanced module

Added notes_spec.coffee

remove spec file

Quality and  Testing Coverage

1. in test_textannotation.py I already check for line 75 as it states
in the diff in line 43, same with test_videoanntotation
2. Like you said, exceptions cannot be checked for
firebase_token_generator.py. The version of python that is active on
the edx server is 2.7 or higher, but the code is there for correctness.
Error checking works the same way.
3. I added a test for student/views/.py within tests and deleted the
unused secret assignment.
4. test_token_generator.py is now its own file

Added Secret Token data input

fixed token generator

Annotation Tools in Place

The purpose of this pull request is to install two major modules: (1) a
module to annotate text and (2) a module to annotate video. In either
case an instructor can declare them in advanced settings under
advanced_modules and input content (HTML in text, mp4 or YouTube videos
for video). Students will be able to highlight portions and add their
comments as well as reply to each other. There needs to be a storage
server set up per course as well as a secret token to talk with said
storage.

Changes:
1. Added test to check for the creation of a token in tests.py (along
with the rest of the tests for student/view.py)
2. Removed items in cms pertaining to annotation as this will only be
possible in the lms
3. Added more comments to firebase_token_generator.py, the test files,
students/views.py
4. Added some internationalization stuff to textannotation.html and
videoannotation.html. I need some help with doing it in javascript, but
the html is covered.

incorporated lib for traslate

fixed quality errors

fixed my notes with catch token

Text and Video Annotation Modules - First Iteration

The following code-change is the first iteration of the modules for
text and video annotation.

Installing Modules:
1. Under “Advanced Settings”, add “textannotation” and
“videoannotation” to the list of advanced_modules.
2. Add link to an external storage for annotations under
“annotation_storage_url”
3. Add the secret token for talking with said storage under
“annotation_token_secret”

Using Modules
1. When creating  new unit, you can find Text and Video annotation
modules under “Advanced” component
2. Make sure you have either Text or Video in one unit, but not both.
3. Annotations are only allowed on Live/Public version and not Studio.

Added missing templates and fixed more of the quality errors

Fixed annotator not existing issue in cmd and tried to find the get_html() from the annotation module class to the descriptor

Added a space after # in comments

Fixed issue with an empty Module and token links

Added licenses and fixed vis naming scheme and location.

* fix assertPrefValid in tests to decrypt instead of compare
* rename unsubscribe -> set_subscribe

use double-quotes, not single

For seeing overview of system status, for deleting and loading
courses, for seeing log of git imports of courseware.  Includes command
for importing course XML from git repositories.

Added a lot of tests for additional coverage with some minor fixes
those tests discovered

Updates to depend on the latest version of XBlock, which includes
support for service-to-service (thirdparty) handler urls, which aren't
authenticated with a user (unlike handler requests coming from the
xblock client-side javascript).

Co-author: Ned Batchelder <ned@edx.org>

Adds xblock handler_url support to the LMS, and makes handle_ajax use
that code.

[LMS-230] [LMS-229]

add middleware to detect students with disabled accounts

add tests

Adds a new Email link to the instructor dashboard for frontend interface to send
email to course members. Adds a feature flag ENABLE_INSTRUCTOR_EMAIL to toggle this.
Creates a new djangoapp bulk_email that handles this action by getting the recipient
list and batching the emails to different celery tasks to do the actual sending.
Requires lynx package to convert HTML email to plaintext. Handles SMTP errors by
retrying or falling through to the next email. Adds the option to opt out of course
specific emails in the user dashboard with an Email Settings link for each course.
Uses severable configurable settings with defaults. DEFAULT_BULK_FROM_EMAIL
specifies the from address for email. EMAILS_PER_TASK specifies the number of emails
each celery task takes on. EMAIL_HOST, EMAIL_PORT, EMAIL_HOST_USER,
EMAIL_HOST_PASSWORD, and EMAIL_USE_TLS for the SMTP email backend settings.

Co-authored-by: Akshay Jagadeesh <akjags@gmail.com>

Inspired by: http://eldarion.com/blog/2013/02/14/entry-point-hook-django-projects/
Moves startup code to lms.startup and cms.startup, and calls the startup
methods in wsgi.py and manage.py for both projects.

Rename MITX_SETTING AUTOMATIC_AUTH_FOR_LOAD_TESTING -> AUTOMATIC_AUTH_FOR_TESTING because it will be used for acceptance testing also.