styles.csv encoding utf8 to utf-8-sig
utf-8-bom for better compatibility for some programs
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433a7525c1
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@ -45,7 +45,7 @@ class StyleDatabase:
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if not os.path.exists(path):
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if not os.path.exists(path):
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return
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return
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with open(path, "r", encoding="utf8", newline='') as file:
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with open(path, "r", encoding="utf-8-sig", newline='') as file:
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reader = csv.DictReader(file)
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reader = csv.DictReader(file)
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for row in reader:
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for row in reader:
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# Support loading old CSV format with "name, text"-columns
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# Support loading old CSV format with "name, text"-columns
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@ -79,7 +79,7 @@ class StyleDatabase:
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def save_styles(self, path: str) -> None:
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def save_styles(self, path: str) -> None:
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# Write to temporary file first, so we don't nuke the file if something goes wrong
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# Write to temporary file first, so we don't nuke the file if something goes wrong
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fd, temp_path = tempfile.mkstemp(".csv")
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fd, temp_path = tempfile.mkstemp(".csv")
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with os.fdopen(fd, "w", encoding="utf8", newline='') as file:
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with os.fdopen(fd, "w", encoding="utf-8-sig", newline='') as file:
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# _fields is actually part of the public API: typing.NamedTuple is a replacement for collections.NamedTuple,
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# _fields is actually part of the public API: typing.NamedTuple is a replacement for collections.NamedTuple,
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# and collections.NamedTuple has explicit documentation for accessing _fields. Same goes for _asdict()
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# and collections.NamedTuple has explicit documentation for accessing _fields. Same goes for _asdict()
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writer = csv.DictWriter(file, fieldnames=PromptStyle._fields)
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writer = csv.DictWriter(file, fieldnames=PromptStyle._fields)
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