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cleanup
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5f7e1d8675
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1 changed files with 0 additions and 15 deletions
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@ -80,7 +80,6 @@ def replace_most_similar_chunk(whole, part, replace):
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skip_blank_line_part_lines = part_lines[1:]
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res = perfect_or_whitespace(whole_lines, skip_blank_line_part_lines, replace_lines)
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if res:
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dump(repr(res))
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return res
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# Try to handle when it elides code with ...
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@ -151,11 +150,6 @@ def try_dotdotdots(whole, part, replace):
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def replace_part_with_missing_leading_whitespace(whole_lines, part_lines, replace_lines):
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dump(whole_lines)
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dump(repr(whole_lines))
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dump(repr(part_lines))
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dump(repr(replace_lines))
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# GPT often messes up leading whitespace.
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# It usually does it uniformly across the ORIG and UPD blocks.
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# Either omitting all leading whitespace, or including only some of it.
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@ -173,9 +167,6 @@ def replace_part_with_missing_leading_whitespace(whole_lines, part_lines, replac
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# can we find an exact match not including the leading whitespace
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num_part_lines = len(part_lines)
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dump(part_lines)
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dump(replace_lines)
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for i in range(len(whole_lines) - num_part_lines + 1):
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add_leading = match_but_for_leading_whitespace(
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whole_lines[i : i + num_part_lines], part_lines
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@ -184,19 +175,14 @@ def replace_part_with_missing_leading_whitespace(whole_lines, part_lines, replac
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if add_leading is None:
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continue
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dump(len(add_leading))
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replace_lines = [add_leading + rline if rline.strip() else rline for rline in replace_lines]
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whole_lines = whole_lines[:i] + replace_lines + whole_lines[i + num_part_lines :]
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dump(repr(whole_lines))
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return "".join(whole_lines)
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return None
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def match_but_for_leading_whitespace(whole_lines, part_lines):
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dump(whole_lines, part_lines)
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num = len(whole_lines)
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# does the non-whitespace all agree?
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@ -210,7 +196,6 @@ def match_but_for_leading_whitespace(whole_lines, part_lines):
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if whole_lines[i].strip()
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)
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dump(add)
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if len(add) != 1:
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return
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