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func_lib_unchecked.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2024-09-15 23:31:59
# @Author : Litles ([email protected])
# @Link : https://github.com/Litles
# @Version : 1.0
import os
import re
import statistics
from collections import defaultdict
from func_lib import (
generate_dict_file_with_freq, load_word_freq,
load_char_code, compute_char_chongma,
get_charset, combine_code_and_freq
)
def get_char_freq_with_csFlag(dict_char_freq: dict) -> list:
"""给字频表添加字集标记
Args:
dict_char_freq (dict): 字频表
Returns:
list: 有字集标记的字频表
"""
list_char_freq = []
# 1.load charset files
dict_charsets = {}
cs_all = set()
files = {
"tg1": "字符集/G标_通规/通规一级（3500字）.txt",
"tg2": "字符集/G标_通规/通规二级（3000字）.txt",
"tg3": "字符集/G标_通规/通规三级（1605字）.txt",
"gb2312": "字符集/G标/GB2312汉字集.txt"
}
for csName in files:
with open(files[csName], 'r', encoding='utf-8') as fr:
dict_charsets[csName] = set(fr.read().replace("\r", "").replace("\n", ""))
cs_all |= dict_charsets[csName]
# 2.tag charsets to char_freq
for char in cs_all:
flag_tg1, flag_tg2, flag_tg3, flag_gb2312 = 0, 0, 0, 0
if char in dict_charsets["tg1"]:
flag_tg1 = 1
if char in dict_charsets["tg2"]:
flag_tg2 = 1
if char in dict_charsets["tg3"]:
flag_tg3 = 1
if char in dict_charsets["gb2312"]:
flag_gb2312 = 1
list_char_freq.append({
"char": char,
"freq": dict_char_freq.get(char, 0),
"tg1": flag_tg1,
"tg2": flag_tg2,
"tg3": flag_tg3,
"gb2312": flag_gb2312,
"all": 1
})
# 3.sort and statistics
list_char_freq.sort(key=lambda d: d["freq"], reverse=True)
for i in range(len(list_char_freq)):
list_char_freq[i]["rank"] = i+1
# print("tg1无频字:", [d["char"] for d in list_char_freq if d["tg1"] == 1 and d["freq"] == 0])
print("tg1低频字(排在6000后):", [d["char"] for d in list_char_freq if d["tg1"] == 1 and d["rank"] > 6000])
print("tg3高频字(排在前2500):", [d["char"] for d in list_char_freq if d["tg3"] == 1 and d["rank"] < 2500])
print("字集", "总字数", "最高排名", "上分位", "中位", "下分位", "最低排名")
for csName in dict_charsets:
lst = [d["rank"] for d in list_char_freq if d[csName]==1]
print(
csName,
sum(d[csName] for d in list_char_freq),
min(lst),
int(statistics.quantiles(lst, n=4)[0]),
int(statistics.median(lst)),
int(statistics.quantiles(lst, n=4)[2]),
max(lst)
)
# 4.write to file
# with open('out.csv', 'w', encoding='utf-8') as fw:
# cnames = list(list_char_freq[0].keys())
# writer = csv.DictWriter(fw, fieldnames=cnames, delimiter='\t', lineterminator='\n')
# writer.writeheader()
# writer.writerows(list_char_freq)
return list_char_freq
def compare_two_freq_table():
# freq_table to compare
file_freq1 = "字词频/知频_字频.txt"
file_freq2 = "字词频/25亿字语料汉字字频表(14975字).txt"
dict_char_freq1 = load_word_freq(file_freq1)
dict_char_freq2 = load_word_freq(file_freq2)
# charset
charset = get_charset("字符集/G标_通规/通规（8105字）.txt", "字符集/G标/GB2312汉字集.txt")
dict_char_codes = load_char_code("yujoy.full.dict_v3.6.0_rc5.yaml") # 单字全码码表(大概100,000字)
list_char_freq1 = combine_code_and_freq(dict_char_codes, dict_char_freq1, charset)
list_char_freq2 = combine_code_and_freq(dict_char_codes, dict_char_freq2, charset)
for d in list_char_freq1:
if len(d["code"]) >= 3:
d["code"] = d["code"][:3]
for d in list_char_freq2:
if len(d["code"]) >= 3:
d["code"] = d["code"][:3]
# assert len(list_char_freq1) == len(list_char_freq2)
list_char_freq1.sort(key=lambda d: d["freq"], reverse=True)
list_char_freq2.sort(key=lambda d: d["freq"], reverse=True)
dict_code_chars1 = compute_char_chongma(list_char_freq1, True, charset)
dict_code_chars2 = compute_char_chongma(list_char_freq2, False, charset)
# assert len(dict_code_chars1) == len(dict_code_chars2)
# print(len(dict_code_chars1))
# for i in range(len(dict_code_chars1)):
# for code, chars in dict_code_chars1.items():
# if code == "ls":
# print(chars)
n_diff = 0
with open('out.txt', 'w', encoding='utf-8') as fw:
fw.write("编码\t知频\t语频\n")
for code, chars in dict_code_chars1.items():
if chars[:2] != dict_code_chars2[code][:2]:
n_diff += 1
# if n_diff == 1:
# print("知频", chars)
# print("语频", dict_code_chars2[code])
fw.write(f"{code}\t{chars}\t{dict_code_chars2[code]}\n")
print(n_diff)
def get_sample_chars_of_root():
# char freq
list_char_freq = []
set_chars_with_freq = set()
for char, freq in load_word_freq("字词频/知频_字频.txt").items():
list_char_freq.append({"char": char, "freq": freq})
set_chars_with_freq.add(char)
list_char_freq.sort(key=lambda d: d["freq"], reverse=True)
# chars without freq
set_base = get_charset("字符集/G标/GB18030汉字集_无兼容汉字.txt", "字符集/G标_通规/通规（8105字）.txt")
for char in set_base - set_chars_with_freq:
list_char_freq.append({"char": char, "freq": 0})
set_chars_with_freq.add(char)
dict_char_codes = load_char_code(os.path.join("yujoy","char_code.txt"))
for char in set(dict_char_codes.keys()) - set_chars_with_freq:
list_char_freq.append({"char": char, "freq": 0})
# root and chars
dict_char_roots = defaultdict(set)
with open('yujoy/yujoy_chaifen.dict.yaml', 'r', encoding='utf-8') as fr:
pat = re.compile(r"({[^\}]+})")
for line in fr:
line = line.strip()
if (not line.startswith("#")) and ("\t" in line):
char, others = line.split("\t", 1)
chaifen = others.lstrip("[").split(",", 1)[0]
for root in pat.findall(chaifen):
dict_char_roots[root].add(char)
for root in pat.sub("", chaifen):
dict_char_roots[root].add(char)
# get root-chars list
with open('out.txt', 'w', encoding='utf-8') as fw:
for root, set_chars in dict_char_roots.items():
chars = ""
for d in list_char_freq:
if len(chars) < 10 and d["char"] in set_chars:
chars += d["char"]
elif len(chars) >= 10:
break
fw.write(f"{root}\t{chars}\n")
def match_author():
dict_poem_author = {}
with open("词典/唐诗宋词鉴赏合集_comment.txt", 'r', encoding='utf-8') as fr:
for line in fr:
author, poem = line.strip().split("\t")
dict_poem_author[poem] = author
punc_pat = re.compile(r"[，。《〈«‹》〉»›？；：‘’“”、～！……·（）－—「【〔［」】〕］『〖｛』〗｝]")
with (
open("词典/唐诗宋词鉴赏合集_ext.txt", 'r', encoding='utf-8') as fr,
open("词典/唐诗宋词鉴赏合集_ext_match.txt", 'w', encoding='utf-8') as fw,
):
for line in fr:
word = line.strip()
if word:
lst = punc_pat.split(word)
lst_pure = [s for s in lst if len(s) > 1]
for poem in dict_poem_author:
res = sum(1 for item in lst_pure if item in poem)
if res == len(lst_pure):
fw.write(f"{word}\t{dict_poem_author[poem]}\n")
break
def analyse_len2_supplement_choice():
# 分析两码字补什么字母(成三码)好
dict_char_codes = load_char_code(os.path.join("material_yujoy","yujoy.full.dict_v3.6.0.yaml"))
dict_char_freq = load_word_freq("字词频/知频_字频.txt")
set_base = get_charset("字符集/G标/GB18030汉字集_无兼容汉字.txt", "字符集/G标_通规/通规（8105字）.txt")
list_char_code = combine_code_and_freq(dict_char_codes, dict_char_freq, set_base)
list_char_code.sort(key=lambda d: d["freq"], reverse=True)
dict_code_chars_len2 = defaultdict(str)
list_char_code_len3_len4 = []
for d in list_char_code:
if len(d["code"]) == 2:
dict_code_chars_len2[d["code"]+"z"] += d["char"] # add 'z' suffix
elif len(d["code"]) >= 3:
list_char_code_len3_len4.append(d)
bar = list_char_code[7999]["freq"] # analyse range
with open('out_z.txt', 'w', encoding='utf-8') as fw:
for code, chars in dict_code_chars_len2.items():
s = ""
for d in list_char_code_len3_len4:
if d["freq"] >= bar and d["code"][:3] == code:
s += d["char"]
fw.write(f"{code}\t{chars}\t{s}\n")