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File size: 4,565 Bytes
463f868 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 | file_path = r"c:\Users\trios\.gemini\antigravity\vscode\loveca-copy\compiler\parser.py"
with open(file_path, "r", encoding="utf-8") as f:
content = f.read()
# Patch 1: RECOVER Group Filter (Line ~903)
target1 = """ if any(kw in content for kw in ["ハート", "heart"]):
effects[-1].params["filter"] = "heart_req"
"""
repl1 = """ if any(kw in content for kw in ["ハート", "heart"]):
effects[-1].params["filter"] = "heart_req"
# Capture specific group filter if explicitly mentioned near recover target
if match := re.search(r"『(.*?)』", content):
effects[-1].params["group"] = match.group(1)
"""
# Patch 2: Multiplier Both Players (Line ~1085)
target2 = """ elif "メンバー" in content or "人につき" in content:
eff_params["per_member"] = True
"""
repl2 = """ if "自分と相手" in content and ("メンバー" in content or "人につき" in content):
eff_params["per_member_all"] = True
elif "メンバー" in content or "人につき" in content:
eff_params["per_member"] = True
"""
# Patch 3: Group Alias (Line ~1180)
target3 = """ if any(kw in content for kw in ["選ばれない", "選べない", "置けない"]):
effects.append(Effect(EffectType.IMMUNITY, 1))
"""
repl3 = """ if any(kw in content for kw in ["選ばれない", "選べない", "置けない"]):
effects.append(Effect(EffectType.IMMUNITY, 1))
if "として扱う" in content and "すべての領域" in content:
# Group Alias / Multi-Group
groups = []
for m in re.finditer(r"『(.*?)』", content):
groups.append(m.group(1))
if groups:
effects.append(Effect(EffectType.META_RULE, 1, params={"type": "group_alias", "groups": groups}))
"""
# Normalize Line Endings for matching
def normalize(s):
return s.replace("\r\n", "\n")
content_norm = normalize(content)
target1_norm = normalize(target1)
target2_norm = normalize(target2)
target3_norm = normalize(target3)
if target1_norm in content_norm:
content = content.replace(target1.strip(), repl1.strip()) # strip to avoid newline confusion at edges
print("Patch 1 applied")
else:
# Try strict replace on normalized content then write back? No, keep original mixed endings if any.
# But files on Windows usually CRLF.
# Let's try direct replace without stripping if exact match fails
if target1 in content:
content = content.replace(target1, repl1)
print("Patch 1 applied (exact)")
else:
# Fallback: Find location index
idx = content_norm.find(target1_norm.strip())
if idx != -1:
# This is complex because mapping index back to CRLF content is hard.
# I will just write normalized content back? No, that changes entire file line endings.
# Better to strip and replace
if content.replace(target1.strip(), repl1.strip()) != content:
content = content.replace(target1.strip(), repl1.strip())
print("Patch 1 applied (strip)")
else:
print("Patch 1 FAILED - content not found even with strip")
else:
print("Patch 1 FAILED - target not found")
if target2_norm in content_norm:
# Do simpler replace that is robust
# Since I am running locally python, I can just use string replace.
# I'll rely on strict match first.
if target2 in content:
content = content.replace(target2, repl2)
print("Patch 2 applied (exact)")
else:
# try matching line by line
content = content.replace(target2.strip(), repl2.strip())
print("Patch 2 applied (strip)")
else:
print("Patch 2 FAILED")
if target3_norm in content_norm:
if target3 in content:
content = content.replace(target3, repl3)
print("Patch 3 applied (exact)")
else:
content = content.replace(target3.strip(), repl3.strip())
print("Patch 3 applied (strip)")
else:
print("Patch 3 FAILED")
with open(file_path, "w", encoding="utf-8") as f:
f.write(content)
print("Done")
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