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"""Functions to process IPython magics with."""
"""Functions to process IPython magics with."""
-from functools import lru_cache
-import dataclasses
-from typing import Dict, List, Tuple, Optional
-
+import collections
+import dataclasses
import secrets
import sys
import secrets
import sys
+from functools import lru_cache
+from typing import Dict, List, Optional, Tuple
if sys.version_info >= (3, 10):
from typing import TypeGuard
else:
from typing_extensions import TypeGuard
if sys.version_info >= (3, 10):
from typing import TypeGuard
else:
from typing_extensions import TypeGuard
-from black.report import NothingChanged
from black.output import out
from black.output import out
+from black.report import NothingChanged
TRANSFORMED_MAGICS = frozenset(
(
TRANSFORMED_MAGICS = frozenset(
(
@lru_cache()
def jupyter_dependencies_are_installed(*, verbose: bool, quiet: bool) -> bool:
try:
@lru_cache()
def jupyter_dependencies_are_installed(*, verbose: bool, quiet: bool) -> bool:
try:
- import IPython # noqa:F401
+ # isort: off
+ # tokenize_rt is less commonly installed than IPython
+ # and IPython is expensive to import
import tokenize_rt # noqa:F401
import tokenize_rt # noqa:F401
+ import IPython # noqa:F401
+
+ # isort: on
except ModuleNotFoundError:
if verbose or not quiet:
msg = (
"Skipping .ipynb files as Jupyter dependencies are not installed.\n"
except ModuleNotFoundError:
if verbose or not quiet:
msg = (
"Skipping .ipynb files as Jupyter dependencies are not installed.\n"
- "You can fix this by running ``pip install black[jupyter]``"
+ 'You can fix this by running ``pip install "black[jupyter]"``'
Mirrors the logic in `quiet` from `IPython.core.displayhook`, but uses
``tokenize_rt`` so that round-tripping works fine.
"""
Mirrors the logic in `quiet` from `IPython.core.displayhook`, but uses
``tokenize_rt`` so that round-tripping works fine.
"""
- from tokenize_rt import (
- src_to_tokens,
- tokens_to_src,
- reversed_enumerate,
- )
+ from tokenize_rt import reversed_enumerate, src_to_tokens, tokens_to_src
tokens = src_to_tokens(src)
trailing_semicolon = False
tokens = src_to_tokens(src)
trailing_semicolon = False
"""
if not has_trailing_semicolon:
return src
"""
if not has_trailing_semicolon:
return src
- from tokenize_rt import src_to_tokens, tokens_to_src, reversed_enumerate
+ from tokenize_rt import reversed_enumerate, src_to_tokens, tokens_to_src
tokens = src_to_tokens(src)
for idx, token in reversed_enumerate(tokens):
tokens = src_to_tokens(src)
for idx, token in reversed_enumerate(tokens):
would have been transformed to
would have been transformed to