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4B_filter_kerning_pairs.py
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4B_filter_kerning_pairs.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from pprint import pprint
CHARACTER_SETS = {
# 'buchstaben': [ 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'Á', 'Â', 'Ã', 'Ä', 'Å', 'Æ', 'Ç', 'È', 'É', 'Ê', 'Ë', 'Ì', 'Í', 'Î', 'Ï', 'Ð', 'Ñ', 'Ò', 'Ó', 'Ô', 'Õ', 'Ö', 'Ø', 'Ù', 'Ú', 'Û', 'Ü', 'Ý', 'Þ', 'à', 'á', 'â', 'ã', 'ä', 'å', 'æ', 'ç', 'è', 'é', 'ê', 'ë', 'ì', 'í', 'î', 'ï', 'ð', 'ñ', 'ò', 'ó', 'ô', 'õ', 'ö', '÷', 'ø', 'ù', 'ú', 'û', 'ü', 'ý', 'þ', 'ÿ', 'ā', 'Ă', 'ă', 'Ą', 'ą', 'Ć', 'ć', 'Ĉ', 'ĉ', 'Ċ', 'ċ', 'Č', 'č', 'Ď', 'ď', 'Đ', 'đ', 'Ē', 'ē', 'Ĕ', 'ĕ', 'Ė', 'ė', 'Ę', 'ę', 'Ě', 'ě', 'Ĝ', 'ĝ', 'Ğ', 'ğ', 'Ġ', 'ġ', 'Ģ', 'ģ', 'Ĥ', 'ĥ', 'Ħ', 'ħ', 'Ĩ', 'ĩ', 'Ī', 'ī', 'Ĭ', 'ĭ', 'Į', 'į', 'İ', 'ı', 'IJ', 'ij', 'Ĵ', 'ĵ', 'Ķ', 'ķ', 'ĸ', 'Ĺ', 'ĺ', 'Ļ', 'ļ', 'Ľ', 'ľ', 'Ŀ', 'ŀ', 'Ł', 'ł', 'Ń', 'ń', 'Ņ', 'ņ', 'Ň', 'ň', 'ʼn', 'Ŋ', 'ŋ', 'Ō', 'ō', 'Ŏ', 'ŏ', 'Ő', 'ő', 'Œ', 'œ', 'Ŕ', 'ŕ', 'Ŗ', 'ŗ', 'Ř', 'ř', 'Ś', 'ś', 'Ŝ', 'ŝ', 'Ş', 'ş', 'Š', 'š', 'Ţ', 'ţ', 'Ť', 'ť', 'Ŧ', 'ŧ', 'Ũ', 'ũ', 'Ū', 'ū', 'Ŭ', 'ŭ', 'Ů', 'ů', 'Ű', 'ű', 'Ų', 'ų', 'Ŵ', 'ŵ', 'Ŷ', 'ŷ', 'Ÿ', 'Ź', 'ź', 'Ż', 'ż', 'Ž', 'ž', 'ſ', ],
"versalien": [
"A",
"B",
"C",
"D",
"E",
"F",
"G",
"H",
"I",
"J",
"K",
"L",
"M",
"N",
"O",
"P",
"Q",
"R",
"S",
"T",
"U",
"V",
"W",
"X",
"Y",
"Z",
"Á",
"Â",
"Ã",
"Ä",
"Å",
"Æ",
"Ç",
"È",
"É",
"Ê",
"Ë",
"Ì",
"Í",
"Î",
"Ï",
"Ð",
"Ñ",
"Ò",
"Ó",
"Ô",
"Õ",
"Ö",
"Ø",
"Ù",
"Ú",
"Û",
"Ü",
"Ý",
"Þ",
"Ă",
"Ą",
"Ć",
"Ĉ",
"Ċ",
"Č",
"Ď",
"Đ",
"Ē",
"Ĕ",
"Ė",
"Ę",
"Ě",
"Ĝ",
"Ğ",
"Ġ",
"Ģ",
"Ĥ",
"Ħ",
"Ĩ",
"Ī",
"Ĭ",
"Į",
"İ",
"IJ",
"Ĵ",
"Ķ",
"Ĺ",
"Ļ",
"Ľ",
"Ŀ",
"Ł",
"Ń",
"Ņ",
"Ň",
"Ŋ",
"Ō",
"Ŏ",
"Ő",
"Œ",
"Ŕ",
"Ŗ",
"Ř",
"Ś",
"Ŝ",
"Ş",
"Š",
"Ţ",
"Ť",
"Ŧ",
"Ũ",
"Ū",
"Ŭ",
"Ů",
"Ű",
"Ų",
"Ŵ",
"Ŷ",
"Ÿ",
"Ź",
"Ż",
"Ž",
],
"leerzeichen": [" ",],
"interpunktion": [
".",
",",
":",
";",
"…",
"!",
"¡",
"?",
"¿",
"·",
"•",
"*",
"#",
"/",
"/",
"\\",
"(",
")",
"{",
"}",
"[",
"]",
"-",
"",
"–",
"—",
"_",
'"',
"'",
"«",
"»",
"‘",
"’",
"‚",
"‛",
"“",
"”",
"„",
"‟",
"‹",
"›",
],
"numbers": ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "½", "¼", "¾",],
"sonderzeichen": [
"¢",
"¤",
"$",
"€",
"ƒ",
"£",
"¥",
"+",
"−",
"×",
"÷",
"=",
"≠",
">",
"<",
"≥",
"≤",
"±",
"≈",
"~",
"¬",
"^",
"∞",
"∫",
"Ω",
"∆",
"∏",
"∑",
"√",
"µ",
"∂",
"%",
"‰",
"◊",
"@",
"&",
"¶",
"§",
"©",
"®",
"™",
"°",
"|",
"¦",
"†",
"‡",
"℮",
],
"non-letters": [
" ",
".",
",",
":",
";",
"…",
"!",
"¡",
"?",
"¿",
"·",
"•",
"*",
"#",
"/",
"/",
"\\",
"(",
")",
"{",
"}",
"[",
"]",
"-",
"",
"–",
"—",
"_",
'"',
"'",
"«",
"»",
"‘",
"’",
"‚",
"‛",
"“",
"”",
"„",
"‟",
"‹",
"›",
"¢",
"¤",
"$",
"€",
"ƒ",
"£",
"¥",
"+",
"−",
"×",
"÷",
"=",
"≠",
">",
"<",
"≥",
"≤",
"±",
"≈",
"~",
"¬",
"^",
"∞",
"∫",
"Ω",
"∆",
"∏",
"∑",
"√",
"µ",
"∂",
"%",
"‰",
"◊",
"@",
"&",
"¶",
"§",
"©",
"®",
"™",
"°",
"|",
"¦",
"†",
"‡",
"℮",
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"½",
"¼",
"¾",
],
}
# To Do:
# replace "count/total/relevant_kerning_pairs.json" with "googleFontsKernVectorList.json"
# better file name schema and directory required
for SUFFIX, SET in CHARACTER_SETS.items():
with open("count/total/relevant_kerning_pairs.json", "r") as input_json, open(
"count/total/relevant_kerning_pairs_" + SUFFIX + ".json", "w"
) as output_json, open(
"count/total/relevant_kerning_pairs_" + SUFFIX + ".txt", "w"
) as output_txt:
relevantKerningPairs = json.load(input_json)
filtered = [
k
for k in relevantKerningPairs
if any(character in k[0] for character in SET)
]
kerningTXT = ["nonu" + k + "nuou\n" for (k, v) in filtered]
# pprint(filtered)
print(SUFFIX, len(filtered), len(relevantKerningPairs))
output_json.write(json.dumps(filtered, indent=4, ensure_ascii=False))
output_txt.writelines(kerningTXT)
# Inverse
with open("count/total/relevant_kerning_pairs.json", "r") as input_json, open(
"count/total/relevant_kerning_pairs_buchstaben_only.json", "w"
) as output_json, open(
"count/total/relevant_kerning_pairs_buchstaben_only.txt", "w"
) as output_txt:
relevantKerningPairs = json.load(input_json)
filtered = [
k
for k in relevantKerningPairs
if not any(character in k[0] for character in CHARACTER_SETS["non-letters"])
]
kerningTXT = ["nonu" + k + "nuou\n" for (k, v) in filtered]
# pprint(filtered)
print("Buchstaben only", len(filtered), len(relevantKerningPairs))
output_json.write(json.dumps(filtered, indent=4, ensure_ascii=False))
output_txt.writelines(kerningTXT)
# Counts per 1, 10 and 100 pages
for value in [100, 10, 1]:
with open("count/total/relevant_kerning_pairs.json", "r") as input_json:
relevantKerningPairs = json.load(input_json)
filtered = list(filter(lambda x: x[1] >= value, relevantKerningPairs))
print(len(filtered))