import os
from pathlib import Path
from pathspec.patterns.gitwildmatch import GitWildMatchPatternError
-import regex as re
+import re
import signal
import sys
import tokenize
remove_trailing_semicolon,
put_trailing_semicolon_back,
TRANSFORMED_MAGICS,
+ PYTHON_CELL_MAGICS,
jupyter_dependencies_are_installed,
)
) -> Optional[Pattern[str]]:
try:
return re_compile_maybe_verbose(value) if value is not None else None
- except re.error:
- raise click.BadParameter("Not a valid regular expression") from None
+ except re.error as e:
+ raise click.BadParameter(f"Not a valid regular expression: {e}") from None
@click.command(
- context_settings=dict(help_option_names=["-h", "--help"]),
+ context_settings={"help_option_names": ["-h", "--help"]},
# While Click does set this field automatically using the docstring, mypyc
# (annoyingly) strips 'em so we need to set it here too.
help="The uncompromising code formatter.",
worker_count = min(worker_count, 60)
try:
executor = ProcessPoolExecutor(max_workers=worker_count)
- except (ImportError, OSError):
+ except (ImportError, NotImplementedError, OSError):
# we arrive here if the underlying system does not support multi-processing
# like in AWS Lambda or Termux, in which case we gracefully fallback to
# a ThreadPoolExecutor with just a single worker (more workers would not do us
def validate_cell(src: str) -> None:
- """Check that cell does not already contain TransformerManager transformations.
+ """Check that cell does not already contain TransformerManager transformations,
+ or non-Python cell magics, which might cause tokenizer_rt to break because of
+ indentations.
If a cell contains ``!ls``, then it'll be transformed to
``get_ipython().system('ls')``. However, if the cell originally contained
"""
if any(transformed_magic in src for transformed_magic in TRANSFORMED_MAGICS):
raise NothingChanged
+ if src[:2] == "%%" and src.split()[0][2:] not in PYTHON_CELL_MAGICS:
+ raise NothingChanged
def format_cell(src: str, *, fast: bool, mode: Mode) -> str: