The old line:

    from path import path

produced pylint errors because of the baroque way that path.py defined
"path".  We tried to get them to change how they defined it, but they
deleted the name instead: https://github.com/jaraco/path.py/issues/102

(Jason then changed his mind, but this is a better way to use path.py,
it avoids the pylint error at least.)

While I'm in there, also fix the comment for ADVANCED_PROBLEM_TYPES.

When running locally, XBlocks which access third-party software no longer
cause server errors.

Because devstack inherits from aws, the HTTPS flag was implicitly set to 'on'.
This meant that XBlocks attempted to use SSL when dealing with third-party
components like LTI.  Since SSL is not enabled on devstack, this caused server
errors whenever these features ran.

There's an "explicit" way to configure Django Debug Toolbar that isn't
prone to circular import errors:

http://django-debug-toolbar.readthedocs.org/en/1.0/installation.html#explicit-setup

Do that.

TNL-2413

TNL-2413

TNL-2487

This reverts commit c94abd27.

This reverts commit c94abd27.

TNL-2305

* updated the flags for social media sharing
* added facebook feed ui to share public url
* update the condition logic
* update the code as per suggestion and added pick new style for share buttons
* update the css class reference
* update the bok-choy test
* updated description and some text touch-ups
* moved the JS related to facebook into separate location
* js formatting
* Add trailing comma per chrisndodge
* Add wait to fix flaky test...maybe

This is a public, versioned, RESTful API for importing and
exporting full course content. The code was initially ripped from the
existing import/export API in the CMS contentstore djangoapp and wrapped
in Django Rest Framework view classes. It's a new djangoapp in
the openedx directory which is largely an abstraction off the CMS
Import/Export views.

This PR includes configuration changes. Most notably, Studio is
configured to serve the OAuth2 provider alongside the LMS.

This is the initial thread on the code list:
https://groups.google.com/forum/#!msg/edx-code/DmnHWmly25A/ZqjD1zb4o7oJ

And this thread contains another description of the changes:
https://groups.google.com/d/msg/edx-code/6dP9SEKsmqQ/Pvyn8fBDx68J

There are a numerous non-covered lines, all of which are missing
coverage in the CMS API this was ported from. They're mostly error
conditions, such as handling of multipart file upload errors.

Currently, Python implicitly concatenates two string entries located next to
each other because there is no comma separating them.  The code concatenates
"*.pyc" and "sass/*.scss", creating a single entry called "*.pycsass/*.scss".

Display warning message on course outline in Studio when course contains deprecated features/components

TNL-2303

TNL-2465

* Add a new cookie for user information
* Make marketing cookie names configurable.
* Handle URL reversal when URLs don't exist (in Studio)
* Move cookie code from student/helpers.py into its own module.

This is primarily to reduce load on MongoDB, where we've lately
had performance problems that we suspect are caused by very
large course structures being evicted from MongoDB's cache. This
may potentially give us a path to better performance as well,
but that's not the goal of this commit.

Surprisingly, LZ4 seemed to actually run more slowly than zlib
for this. Possibly because of some overhead in the Python
bindings? GZip was also surprisingly slow given that it uses
zlib underneath (something like 5x slower).

Use separate cache backend for caching structures.

Abstract out course structure cache.

add datadog metrics for compressed course structure sizes

Since we're using a different cache background, we don't need to have a cache prefix

Use dummy cache backend for tests.

Fallback to default cache if course_structure_cache doesn't exist.

This is primarily to reduce load on MongoDB, where we've lately
had performance problems that we suspect are caused by very
large course structures being evicted from MongoDB's cache. This
may potentially give us a path to better performance as well,
but that's not the goal of this commit.

Surprisingly, LZ4 seemed to actually run more slowly than zlib
for this. Possibly because of some overhead in the Python
bindings? GZip was also surprisingly slow given that it uses
zlib underneath (something like 5x slower).

Use separate cache backend for caching structures.

Abstract out course structure cache.

add datadog metrics for compressed course structure sizes

Since we're using a different cache background, we don't need to have a cache prefix

Use dummy cache backend for tests.

Fallback to default cache if course_structure_cache doesn't exist.

This reverts commit 09425c3d, reversing
changes made to 410b9282.

ECOM-1523