Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add python3 compatibility #299

Closed
wants to merge 2,138 commits into from
Closed

Conversation

jessicalettes
Copy link

  • Is it mergable?
  • Did it pass the tests?
  • If it introduces new functionality in is it tested?
    Check for code coverage. To run code coverage on only the file you changed,
    for example flotilla/compute/splicing.py, use this command:
    py.test --cov flotilla/compute/splicing.py --cov-report term-missing flotilla/test/compute/test_splicing.py
    which will show you which lines aren't covered by the tests.
  • Do the new functions have descriptive
    numpydoc
    style docstrings?
  • If it adds a new feature, is it documented as an IPython Notebook in
    examples/, and is that notebook added to doc/tutorial.rst?
  • If it adds a new plot, is it documented in the gallery, as a .py file
    in examples/?
  • Is it well formatted? Look at make pep8 and make lint output
  • Is it documented in the doc/releases/?
  • Was a spellchecker run on the source code and documentation after
    changes were made?

* 'master' of github.com:YeoLab/flotilla: (31 commits)
  Add GO to release notes
  fix bug addded while linting
  fix pep8
  remove plot_study_sample_legend because it's unused
  Fix lint errors because pyflakes got majorly strict
  remove go.py (replaced with the data model)
  Fix tests and add more for  a total of 98% coverage!
  add example gene ontology data
  Add tests for gene ontology data
  Sort dataframe by p value
  Make GeneOntologyData accessible from base flotilla
  also check that features of interest overlap with GO term
  make sure provided domains are converted to frozenset, and fix logic for checking domain of GO term
  access 0th value because 0th item by series may not be valid
  better error message
  also say error for why species data wasn't loaded
  df.empty is attribute, not method
  make sure to create defaultdict properly
  Add go term domains and name to growing defaultdict, and return None if no GO categories were enriched
  stdout --> warnings
  ...
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants