* Parse `:=` properly
* never unwrap parenthesis around `:=`
* When checking for AST-equivalence, use `ast` instead of `typed-ast` when running on python >=3.8
* Assume code that uses `:=` is at least 3.8
Modified maybe_remove_trailing_comma to remove trailing commas for
typedarglists (in addition to arglists), and updated line split logic
to ensure that all lines in a function definition that contain only one
arg have a trailing comma.
Fixes#593
I looked into this bug with @ambv and @carljm, and we reached the
conclusion was that it's not possible for the tokenizer to determine if
async/await is a keyword inside all possible generators without breaking
the grammar for older versions of Python.
Instead, we introduce a new tokenizer mode for Python 3.7+ that will
cause all async/await instances to get parsed as a reserved keyword,
which should fix async/await inside generators.
... to stop it from spamming the log when black is used as a library in another
python application.
When used indirectly by black the logger initiated in `driver.py` will emit
thousands of debug messages making the debug level of the root logger virtually
useless. By getting a named logger instead the verbosity of logging from this
module can easily be controlled by setting its log level.
Fixes#715
Fixes#305
- Run separate jobs for mypy, self-formatting, flake8, and test runs.
- Don't run flake8 in 3.8 because it is broken (and we can't really expect flake8 to always keep up with 3.8 development).
- Fix unused variable in test
This is a new syntax added in python3.7, so black can't verify that reformatting will not change the ast unless black itself is run with 3.7. We'll need to change the error message black gives in this case. @ambv any ideas?
Fixes#125.
Fixes#452
I ended up making a couple of other normalizations to numeric literals
too (lowercase everything, don't allow leading or trailing . in floats,
remove redundant + sign in exponent). I don't care too much about those,
so I'm happy to change the behavior there.
For reference, here is Python's grammar for numeric literals:
https://docs.python.org/3/reference/lexical_analysis.html#numeric-literals
