Speed up new backtracking parser (#2728)

[etc/vim.git] / src / black / strings.py

diff --git a/src/black/strings.py b/src/black/strings.py
index 97debe3b5de08569e24f5ca8abcdbbfe4e258d21..262c2ba4313bee09839008f59bf49d4d26543dc6 100644 (file)
--- a/src/black/strings.py
+++ b/src/black/strings.py
@@ -2,7 +2,7 @@
 Simple formatting on strings. Further string formatting code is in trans.py.
 """
 
 Simple formatting on strings. Further string formatting code is in trans.py.
 """
 

-import regex as re
+import re

 import sys
 from functools import lru_cache
 from typing import List, Pattern
 import sys
 from functools import lru_cache
 from typing import List, Pattern


@@ -138,17 +138,17 @@ def assert_is_leaf_string(string: str) -> None:
     ), f"{set(string[:quote_idx])} is NOT a subset of {set(STRING_PREFIX_CHARS)}."
 
 
     ), f"{set(string[:quote_idx])} is NOT a subset of {set(STRING_PREFIX_CHARS)}."
 
 

-def normalize_string_prefix(s: str, remove_u_prefix: bool = False) -> str:
-    """Make all string prefixes lowercase.
-
-    If remove_u_prefix is given, also removes any u prefix from the string.
-    """
+def normalize_string_prefix(s: str) -> str:
+    """Make all string prefixes lowercase."""

     match = STRING_PREFIX_RE.match(s)
     assert match is not None, f"failed to match string {s!r}"
     orig_prefix = match.group(1)
     match = STRING_PREFIX_RE.match(s)
     assert match is not None, f"failed to match string {s!r}"
     orig_prefix = match.group(1)

-    new_prefix = orig_prefix.replace("F", "f").replace("B", "b").replace("U", "u")
-    if remove_u_prefix:
-        new_prefix = new_prefix.replace("u", "")
+    new_prefix = (
+        orig_prefix.replace("F", "f")
+        .replace("B", "b")
+        .replace("U", "")
+        .replace("u", "")
+    )

     return f"{new_prefix}{match.group(2)}"
 
 
     return f"{new_prefix}{match.group(2)}"
 
 


@@ -156,7 +156,7 @@ def normalize_string_prefix(s: str, remove_u_prefix: bool = False) -> str:
 # performance on a long list literal of strings by 5-9% since lru_cache's
 # caching overhead is much lower.
 @lru_cache(maxsize=64)
 # performance on a long list literal of strings by 5-9% since lru_cache's
 # caching overhead is much lower.
 @lru_cache(maxsize=64)

-def _cached_compile(pattern: str) -> re.Pattern:
+def _cached_compile(pattern: str) -> Pattern[str]:

     return re.compile(pattern)
 
 
     return re.compile(pattern)