wareya

#!sh
# On mingw, YOU NEED TO EDIT mecab.h to change DLL_EXPORT to MECAB_DLL_EXPORT or similar. on other platforms, you need to edit the first g++ line below to use DDLL_EXPORT instead (remove mconsole while you're at it)
cd src
MECAB_DEFAULT_RC="\"C:/Program Files/mecab/etc/mecabrc\""
DIC_VERSION="102"
g++ -O3 -m64 -mconsole -I.. -DDIC_VERSION=$DIC_VERSION -DMECAB_DEFAULT_RC="$MECAB_DEFAULT_RC" -DHAVE_CONFIG_H -Wfatal-errors -DMECAB_DLL_EXPORT learner.cpp tagger.cpp viterbi.cpp char_property.cpp dictionary_compiler.cpp feature_index.cpp learner_tagger.cpp nbest_generator.cpp tokenizer.cpp connector.cpp dictionary_generator.cpp iconv_utils.cpp param.cpp utils.cpp context_id.cpp dictionary_rewriter.cpp lbfgs.cpp string_buffer.cpp dictionary.cpp eval.cpp writer.cpp libmecab.cpp -shared -static -static-libgcc -static-libstdc++ -lpthread -liconv -o libmecab.dll

g++ -Os -fdata-sections -ffunction-sections -fwhole-program -Wl,--gc-sections -Wl,--strip-all -m64 -mconsole -I..  -DDIC_VERSION=$DIC_VERSION -DMECAB_DEFA

wareya

#!python

from bs4 import BeautifulSoup
import urllib
from urllib.parse import urljoin
import sys

import aiohttp
import asyncio

wareya

#!python

from bs4 import BeautifulSoup
import urllib
from urllib.parse import urljoin
import sys

def get_top_300(url):
    r = urllib.request.urlopen(url)
    data = r.read()

wareya

#!python

from bs4 import BeautifulSoup
import urllib
from urllib.parse import urljoin
import sys

import aiohttp
import asyncio

wareya

#!/usr/bin/env python

# make directory "glyphs" first

from PIL import Image
import json

stuff = json.load(open("sjr_fonts.json", encoding="utf-8"))
stuff = stuff["subbooks"][0]["fonts"][0]

wareya

#!python
# -*- coding: utf-8 -*-
import numpy as np
from random import shuffle, seed, randrange, choice, uniform
from math import floor

lines = []
data = []

low = 0x3000

wareya

#!python
# -*- coding: utf-8 -*-
import numpy as np

# training data in B.txt
# format with the letter B prefixed to lines that contain mostly spoken sound effects and other vocal sounds
# use https://gist.github.com/wareya/ec9f33ce8e5c12f5005b5345ddcd7e6b to "run" model on a text file

np.set_printoptions(suppress=True)
np.set_printoptions(threshold=np.nan)

wareya

#!python
# coding=utf-8

# Get ids.txt from https://github.com/cjkvi/cjkvi-ids/ and place it next to this script
# ~requires python 3.6 or newer on windows~
# note: depends on the accuracy of ids.txt. for some characters, like 祭, it's pretty bad.
# see also: http://www.chise.org/ids-find

contains = {}

wareya

#!python

class Entity:
    def __init__(self):
        global id_counter
        self.id = id_counter
        id_counter += 1
        self.stash()
    def stash(self):
        name = self.__class__.__name__

wareya

#!python
# -*- coding: utf-8 -*-
import numpy as np
from PIL import Image, ImageFont, ImageDraw
import PIL.ImageOps as ImageOps

np.set_printoptions(suppress=True)
np.set_printoptions(threshold=np.nan)

from random import shuffle, seed, randrange