Certs - bugfix cert_whitelist output

* output after cert_whitelist -a or -d purported to be the whitelist entries
  for the requested course, but in fact were all of the entries in every
  course. This commit fixes that.
Eliminate unused import and gratuitous prints
i18n Sequence XModule

LMS-1758
Merge pull request #2290 from edx/jrbl/mdx_stop_printing

Eliminate unused import and gratuitous prints
Merge pull request #2227 from edx/jrbl/fix_cert_whitelist_report

Certs - bugfix cert_whitelist output
Merge pull request #2295 from edx/sarina/i19-xmodules

i18n Sequence XModule
annotation tools

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