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https://github.com/Yonokid/PyTaiko.git
synced 2026-02-04 11:40:13 +01:00
update to add every missing feature ever
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@@ -1,40 +1,48 @@
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import json
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import sys
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from pathlib import Path
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from typing import Optional
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import pandas as pd
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from libs.tja import TJAParser
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from libs.utils import get_config
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song_hashes: Optional[dict] = None
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def process_tja_file(tja_file):
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"""Process a single TJA file and return hash or None if error"""
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tja = TJAParser(tja_file)
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all_notes = []
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for diff in tja.metadata.course_data:
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all_notes.extend(TJAParser.notes_to_position(TJAParser(tja.file_path), diff))
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all_notes.extend(
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TJAParser.notes_to_position(TJAParser(tja.file_path), diff)
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)
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hash = tja.hash_note_data(all_notes[0], all_notes[2])
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return hash
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def build_song_hashes(output_file='cache/song_hashes.json'):
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def build_song_hashes(output_file="cache/song_hashes.json"):
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existing_hashes = {}
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output_path = Path(output_file)
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if output_path.exists():
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try:
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with open(output_file, 'r', encoding='utf-8') as f:
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with open(output_file, "r", encoding="utf-8") as f:
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existing_hashes = json.load(f)
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except (json.JSONDecodeError, IOError) as e:
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print(f"Warning: Could not load existing hashes from {output_file}: {e}")
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print(
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f"Warning: Could not load existing hashes from {output_file}: {e}"
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)
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existing_hashes = {}
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song_hashes = existing_hashes.copy()
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tja_paths = get_config()['paths']['tja_path']
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tja_paths = get_config()["paths"]["tja_path"]
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all_tja_files = []
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for root_dir in tja_paths:
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root_path = Path(root_dir)
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all_tja_files.extend(root_path.rglob('*.tja'))
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all_tja_files.extend(root_path.rglob("*.tja"))
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updated_count = 0
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for tja_file in all_tja_files:
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@@ -45,14 +53,14 @@ def build_song_hashes(output_file='cache/song_hashes.json'):
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existing_hash = None
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for h, data in song_hashes.items():
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if data['file_path'] == str(tja_file):
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if data["file_path"] == str(tja_file):
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existing_hash = h
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break
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if existing_hash is None:
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should_update = True
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else:
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stored_modified = song_hashes[existing_hash].get('last_modified', 0)
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stored_modified = song_hashes[existing_hash].get("last_modified", 0)
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if current_modified > stored_modified:
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should_update = True
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del song_hashes[existing_hash]
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@@ -61,17 +69,19 @@ def build_song_hashes(output_file='cache/song_hashes.json'):
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tja = TJAParser(tja_file)
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all_notes = []
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for diff in tja.metadata.course_data:
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all_notes.extend(TJAParser.notes_to_position(TJAParser(tja.file_path), diff))
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all_notes.extend(
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TJAParser.notes_to_position(TJAParser(tja.file_path), diff)
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)
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hash_val = tja.hash_note_data(all_notes[0], all_notes[2])
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song_hashes[hash_val] = {
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'file_path': str(tja_file),
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'last_modified': current_modified,
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'title': tja.metadata.title,
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'subtitle': tja.metadata.subtitle
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"file_path": str(tja_file),
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"last_modified": current_modified,
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"title": tja.metadata.title,
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"subtitle": tja.metadata.subtitle,
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}
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updated_count += 1
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with open(output_file, 'w', encoding='utf-8') as f:
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with open(output_file, "w", encoding="utf-8") as f:
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json.dump(song_hashes, f, indent=2, ensure_ascii=False)
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print(f"Song hashes saved to {output_file}. Updated {updated_count} files.")
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@@ -80,29 +90,84 @@ def build_song_hashes(output_file='cache/song_hashes.json'):
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def get_japanese_songs_for_version(df, version_column):
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# Filter rows where the specified version column has 'YES'
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version_songs = df[df[version_column] == 'YES']
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version_songs = df[df[version_column] != "NO"]
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# Extract Japanese titles (JPTITLE column)
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japanese_titles = version_songs['TITLE 【TITLE2】\nJPTITLE/「TITLE2」 より'].tolist()
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japanese_titles = version_songs[
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"TITLE 【TITLE2】\nJPTITLE/「TITLE2」 より"
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].tolist()
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japanese_titles = [name.split('\n') for name in japanese_titles]
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second_lines = [name[1] for name in japanese_titles if len(name) > 1]
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japanese_titles = [name.split("\n") for name in japanese_titles]
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second_lines = [
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name[1] if len(name) > 1 else name[0] for name in japanese_titles
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]
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all_tja_files = []
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direct_tja_paths = dict()
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text_files = dict()
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tja_paths = get_config()['paths']['tja_path']
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tja_paths = get_config()["paths"]["tja_path"]
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for root_dir in tja_paths:
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root_path = Path(root_dir)
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all_tja_files.extend(root_path.rglob('*.tja'))
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all_tja_files.extend(root_path.rglob("*.tja"))
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for tja in all_tja_files:
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tja_parse = TJAParser(tja)
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direct_tja_paths[tja_parse.metadata.title.get('ja', tja_parse.metadata.title['en'])] = tja
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tja_name = tja_parse.metadata.title.get(
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"ja", tja_parse.metadata.title["en"]
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)
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if "【双打】" in tja_name:
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tja_name = tja_name.strip("【双打】")
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tja_name = tja_name.strip()
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if tja_name in direct_tja_paths:
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direct_tja_paths[tja_name].append(tja)
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else:
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direct_tja_paths[tja_name] = [tja]
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for title in second_lines:
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if "・・・" in title:
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title = title.replace("・・・", "…")
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if "..." in title:
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title = title.replace("・・・", "…")
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# Find all matching keys
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matches = []
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# Check for exact title match
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if title in direct_tja_paths:
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path = direct_tja_paths[title]
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elif title.split('/')[0] in direct_tja_paths:
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path = direct_tja_paths[title.split('/')[0]]
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for path in direct_tja_paths[title]:
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matches.append((title, path))
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# Also check for partial matches with the first part before '/'
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title_prefix = title.split("/")[0]
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for key in direct_tja_paths:
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if key.startswith(title_prefix) and key != title:
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for path in direct_tja_paths[key]:
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matches.append((key, path))
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if not matches:
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for key in direct_tja_paths:
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if title.lower() in key.lower() or key.lower() in title.lower():
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for path in direct_tja_paths[key]:
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matches.append((key, path))
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if not matches:
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from difflib import get_close_matches
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close_matches = get_close_matches(
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title, direct_tja_paths.keys(), n=3, cutoff=0.6
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)
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for close_match in close_matches:
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for path in direct_tja_paths[close_match]:
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matches.append((close_match, path))
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if len(matches) == 1:
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path = matches[0][1]
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elif len(matches) > 1:
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print(
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f"Multiple matches found for '{title.split('/')[0]} ({title.split('/')[1] if len(title.split('/')) > 1 else ''})':"
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)
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for i, (key, path_val) in enumerate(matches, 1):
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print(f"{i}. {key}: {path_val}")
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choice = int(input("Choose number: ")) - 1
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path = matches[choice][1]
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else:
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path = Path(input(f"NOT FOUND {title}: "))
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hash = process_tja_file(path)
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@@ -110,15 +175,24 @@ def get_japanese_songs_for_version(df, version_column):
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genre = Path(path).parent.parent.name
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if genre not in text_files:
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text_files[genre] = []
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text_files[genre].append(f"{hash}|{tja_parse.metadata.title['en'].strip()}|{tja_parse.metadata.subtitle['en'].strip()}")
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text_files[genre].append(
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f"{hash}|{tja_parse.metadata.title['en'].strip()}|{tja_parse.metadata.subtitle['en'].strip()}"
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)
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print(f"Added {title}: {path}")
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for genre in text_files:
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if not Path(version_column).exists():
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Path(version_column).mkdir()
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if not Path(f"{version_column}/{genre}").exists():
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Path(f"{version_column}/{genre}").mkdir()
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with open(Path(f"{version_column}/{genre}/song_list.txt"), 'w', encoding='utf-8-sig') as text_file:
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with open(
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Path(f"{version_column}/{genre}/song_list.txt"),
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"w",
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encoding="utf-8-sig",
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) as text_file:
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for item in text_files[genre]:
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text_file.write(item + '\n')
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text_file.write(item + "\n")
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return text_files
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get_japanese_songs_for_version(pd.read_csv('full.csv'), 'AC12')
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if len(sys.argv) > 1:
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get_japanese_songs_for_version(pd.read_csv("full.csv"), sys.argv[1])
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