GuangTianLi

import array
import collections

# Placeholder constants
FREE = -1
DUMMY = -2


class Dict(collections.MutableMapping):
    'Space efficient dictionary with fast iteration and cheap resizes.'

GuangTianLi

#!/usr/bin/bash
echo "processing $1 and $2"
PNG0=$1 ## png0 <----- first image should be the BLACKEST
PNG1=$2 ## png1 <----- second image should be the WHITEST
#PNG2=$3 ## png2 <----- third - todo - this could be an opaque fg with tranparent bg
bg_size=`identify -format '%wx%h' "$1"`
#echo "bg is $bg_size" 
magick convert $PNG1 -resize $bg_size $PNG1
magick convert $PNG0 -channel RGBA -matte -colorspace gray -normalize -ordered-dither o8x8 gray_$PNG0
magick convert $PNG1 -channel RGBA -matte -colorspace gray -normalize -ordered-dither o8x8 gray_$PNG1

GuangTianLi

from threading import Lock
from typing import Iterable

_sentry = object()


class DoublyLinkedListNode(Iterable):
    __slots__ = ("prev", "next", "key", "result")

    def __init__(

GuangTianLi

from dataclasses import dataclass
from typing import Tuple, Dict, TypeVar

_C = TypeVar('_C', bound=type)


class TestORM(type):
    def __new__(cls, clsname: str, bases: Tuple, clsdict: Dict):
        param = ""
        for key, key_type in clsdict.get('__annotations__', {}).items():