asukaminato0721

'''
Just for fun.
参考文章: https://wanakiki.github.io/2020/leetcode-spider/
'''

import requests, json

user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.122 Safari/537.36"
url = "https://leetcode-cn.com/graphql"
session = requests.Session()

asukaminato0721

# 源代码来自 @Wind
# need py >= 3.8
'''
已知一个黑箱里有10个红球、20个白球、30个蓝球。它们除了颜色之外，其它方面都一模一样。我们每次可以伸手进去取出一个球，当然自己看不到所取球的颜色。
问：依次取球的时候，红球最先被取完的概率是多少？
'''
import random

noRedTime, noWhiteTime, noBlueTime = 0, 0, 0
c = ["红"] * 10 + ["白"] * 20 + ["蓝"] * 30

asukaminato0721

# https://stackoverflow.com/a/45064163/13040423
import time

import psutil

count = 0
qry = ""

ul = 0.00
dl = 0.00

asukaminato0721

from collections import defaultdict
from pathlib import Path
from typing import Any, List, Union

PATH = Path(__file__).parent.absolute()


def 载入数据(filename: Union[Path, str]):
    with open(PATH / filename) as f:
        yield from (set(map(int, i.split())) for i in f)

asukaminato0721

# https://scikit-learn.org/stable/modules/svm.html
# https://blog.csdn.net/Liii_NN/article/details/108437424
from pathlib import Path as 路径

from numpy import loadtxt as 载入数据
from numpy import ndarray as n维数组
from sklearn import svm

当前目录: 路径 = 路径(__file__).parent.absolute()
训练样本: n维数组 = 载入数据(当前目录 / "train_sample.txt")

asukaminato0721

from math import dist
from pathlib import Path
from random import choice, sample
from typing import List, Tuple

Point = Tuple[float, ...]


def kmedoids(点集: List[Point], k: int):
    初始点集合 = sample(点集, k)

asukaminato0721

from doctest import testmod
from math import dist as 距离
from pathlib import Path
from random import sample
from statistics import fmean
from typing import List, Tuple

Point = Tuple[float, ...]

asukaminato0721

from __future__ import annotations

from doctest import testmod
from operator import add, mul, sub
from typing import Any, Callable

__all__ = ["pipe"]
__author__ = "wuyudi"
__license__ = "MIT"
__version__ = "1.0.0"

asukaminato0721

def bfs(t: int):
    vis = set()
    q = [1]
    level = 0
    while q:
        for _ in range(len(q)):
            t = q.pop(0)
            if t == 2013:
                return level
            for j in [t + 1, t * 2]:

asukaminato0721

import argparse
from collections import defaultdict
from typing import DefaultDict


def generateDict():
    def read():
        with open("./raw.txt") as f:
            yield from f