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Use dict comprehension in auto replace processing

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This commit is contained in:
Veronica Berglyd Olsen
2025-06-16 18:58:07 +02:00
parent 5bc39d29eb
commit 01733bdbaa
1 changed files with 4 additions and 6 deletions
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novelwriter/formats/tokenizer.py
+4 -6
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@@ -495,12 +495,10 @@ class Tokenizer(ABC):
def doPreProcessing(self) -> None: def doPreProcessing(self) -> None:
"""Run pre-processing jobs before the text is tokenized.""" """Run pre-processing jobs before the text is tokenized."""
# Process the user's auto-replace dictionary # Process the user's auto-replace dictionary
if autoReplace := self._project.data.autoReplace: if entry := self._project.data.autoReplace:
repDict = {} replace = {f"<{k}>": v for k, v in entry.items()}
for aKey, aVal in autoReplace.items(): rxRep = re.compile("|".join([re.escape(k) for k in replace]), flags=re.DOTALL)
repDict[f"<{aKey}>"] = aVal self._text = rxRep.sub(lambda x: replace[x.group(0)], self._text)
xRep = re.compile("|".join([re.escape(k) for k in repDict.keys()]), flags=re.DOTALL)
self._text = xRep.sub(lambda x: repDict[x.group(0)], self._text)
return return
def tokenizeText(self) -> None: def tokenizeText(self) -> None: