66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
#!/usr/bin/env python3
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"""
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Generate flashcards for a range of frequent hanzi characters.
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See attached README for more information.
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"""
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import csv
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import itertools
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import argparse
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import sys
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from pathlib import Path
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parser = argparse.ArgumentParser()
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parser.add_argument("-s", "--start", default=1, type=int)
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parser.add_argument("-e", "--end", default=99999999, type=int)
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parser.add_argument("-i", "--input", default="all_hsk.csv", type=Path)
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parser.add_argument(
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"-S",
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"--single",
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action="store_true",
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help="Output unique single characters instead of words.",
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)
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args = parser.parse_args()
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prev: set[str] = set()
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"""Characters from previous single character card decks."""
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single: set[str] = set()
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"""Already single characters."""
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uniq: dict[str, set[str]] = {}
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"""Character to words mapping."""
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prons: dict[str, set[str]] = {}
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"""Character to pronunciations mapping."""
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with open(args.input) as csv_file:
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reader = csv.reader(csv_file)
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writer = csv.writer(sys.stdout)
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start = 0 if args.single else args.start - 1
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for i, row in enumerate(itertools.islice(reader, start, args.end)):
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word, pron, mean = row[:3]
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if args.single:
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if len(word) > 1:
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for sound, char in zip(pron.lower().split(), word):
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if i < args.start - 1:
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prev.add(char)
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elif char not in prev:
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if char not in uniq:
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uniq[char] = set()
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prons[char] = set()
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uniq[char].add(word)
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prons[char].add(sound)
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else:
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single.add(word[0])
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else:
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writer.writerow([word, f"{pron} ({mean})"])
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if args.single:
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for char in uniq:
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if char not in single:
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writer.writerow(
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[char, f"{', '.join(prons[char])} / {' '.join(uniq[char])}"]
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)
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