seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
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value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
32029539658 | import torch.nn as nn
import torch
import torch.nn.functional as F
from src.models.dropblock import DropBlock
from torch.autograd import Variable
import math
import numpy as np
import torch.nn.functional as F
from torch.nn.utils.weight_norm import WeightNorm
from collections import defaultdict
class ConvBlock(nn.Mod... | OscarcarLi/meta-analysis-classification | src/models/shallow_conv.py | shallow_conv.py | py | 4,066 | python | en | code | 1 | github-code | 1 |
24710122363 | from typing import List, Tuple
STUDENT_START = -1
STUDENT_END = 1
def get_students_count(events: List[Tuple[int, int, int]], students_count: int) -> Tuple[int, List[int]]:
"""
Функция которая вычисляет необходимое количество билетов и вариант раздачи билетов.
:param events: список событий в котором ука... | OkhotnikovFN/Yandex-Algorithms | trainings_1.0/hw_7/task_c/c.py | c.py | py | 2,007 | python | ru | code | 1 | github-code | 1 |
702450714 | from selenium.webdriver.common.action_chains import ActionChains
from pymouse import PyMouse
from pykeyboard import PyKeyboard
from random import choice
import time
from utomarket.skip_util import *
from utomarket.util import *
from utomarket.settings import Settings
def upload_avatar_o(browser):
upload_btns ... | guzhijun369/test3 | utomarket/personal_center_util.py | personal_center_util.py | py | 11,035 | python | en | code | 0 | github-code | 1 |
6637185126 | '''
<문제>
- 도현이 집 n개. 좌표 x1, x2, x3, ...
- 집에 공유기 c개 설치
- 가장 인접한 공유기 사이 거리 최대 -> 최댓값 출력
'''
n,c = map(int,input().split())
house = []
for _ in range(n):
x = int(input())
house.append(x)
house.sort()
# 좌표값의 최소값
start = 1
# 가장 높은 좌표와 가장 낮은 좌표의 차이
end = house[-1] - house[0]
result = 0
while (start <= end):
... | dsc-sookmyung/2022-02-CodingTest-Study | Week5_Binary Search/suah/공유기 설치.py | 공유기 설치.py | py | 746 | python | ko | code | 2 | github-code | 1 |
28934137825 | #!/usr/bin/env python3
import sys
# Simple script to manage brightness of the display.
# Min brightness (to not turn out monitor completely)
MIN_BRIGHTNESS = 1
# Max brightness supported by the monitor on the target machine
MAX_BRIGHTNESS = 512
# Path to the current brightness file
BRIGHTNESS_FILE_PATH = "/sys/class/... | popzxc/dotfiles | .config/brightness.py | brightness.py | py | 741 | python | en | code | 0 | github-code | 1 |
6749597437 | from tool_share_app import models, forms
from django.http import HttpResponseRedirect
from django.contrib import messages
from django.shortcuts import render
from tool_share_app.forms.date_form import RequestDate, ReturnDate
from tool_share_app.views import add_context_extra_data
from django.views.decorators.csrf... | ibrr1/ToolShare | ToolShareVE/toolshare/toolshare/tool_share_app/views/tool_request.py | tool_request.py | py | 6,095 | python | en | code | 0 | github-code | 1 |
4345568828 | import time
import pygame
import threading
from opening import screen
# atak = 'first'
from קבועים import rto, xx
atak_1 = [100, 300, True]
atak_2 = [200,200,True]
def bose_atak(atak,a,x,y,live ):
time = pygame.time.get_ticks()
if time > 5000 and time < 7000:
image = pygame.image.load(rto)
... | noamelul1234567890/DIYproject | bose_atak.py | bose_atak.py | py | 860 | python | en | code | 0 | github-code | 1 |
34308053041 | from random import randint
import pygame
class Colone:
def __init__(self):
self.x = 10
self.vitesse = 3
self.trou = randint(1,399)
self.taille_trou = 100
self.rectUp = pygame.Rect((round(500*(self.x/10)), 0), (50, self.trou))
self.rectDown = pygame.Rect((round(500*(s... | SamTiq/fappy-bird-algog-n- | colone.py | colone.py | py | 407 | python | en | code | 0 | github-code | 1 |
22995621098 | import time
from pyspark.sql import SparkSession
from pyspark.sql import Window
from pyspark.sql.functions import col, to_timestamp, rank, desc
spark = (SparkSession
.builder
.appName("SparkEj1")
.getOrCreate())
csv_trade = "trade_details.csv"
csv_trade_snap = "trade_details_snapshot.csv"... | StefanoNapo/Big-Data-Bosonit | SparkEj1/SparkEj1.py | SparkEj1.py | py | 1,762 | python | en | code | 0 | github-code | 1 |
14154096911 | var1 = ""
var2 = ""
while not var1.replace('.', '', 1).isdigit():
var1 = input('Введите первое число: ')
while not var2.replace('.', '', 1).isdigit():
var2 = input('Введите второе число: ')
if var1.find('.') != -1:
var1 = float(var1)
else:
var1 = int(var1)
if var2.find('.') != -1:
var2 = float(var2)
else:
... | AleXeY1123/PythonLessons | Lesson2/task1_math.py | task1_math.py | py | 1,002 | python | ru | code | 0 | github-code | 1 |
9946805104 | # -*- coding: utf-8 -*-
import subprocess
import os
import sys
import socket
import logging
import dns.resolver #pip install dnspython
dominio = raw_input(str('Digite o nome do seu dominio: '))
# Path's
amavis_novalistadeverificacao = '/tmp/amavis_novalistadeverificacao'
amavis_novalistadeverificacaoip = '/tmp/amavi... | danieljones0028/addAmavisBlacklistZimbra | addBlacklist.py | addBlacklist.py | py | 8,545 | python | pt | code | 1 | github-code | 1 |
11531556819 | import sqlite3
from aiocryptopay import AioCryptoPay, Networks
from config import cryptobot_test_net, cryptobot_main_net
from database.db_keys import user_table, k_user_id, k_locate, k_login, k_key, k_addres
cp = AioCryptoPay(token=cryptobot_main_net, network=Networks.MAIN_NET)
sql_create_users_table = f""" CREATE ... | stifhaks/testbot | database/db_helper.py | db_helper.py | py | 8,967 | python | en | code | 0 | github-code | 1 |
43242842310 | # -*- coding: utf-8 -*-
"""
Resources for handball models.
TODO: Use ApiKeyAuthentication for models that need authentication. Implement custom authorization based on handball graph.
"""
from tastypie.resources import ModelResource, ALL_WITH_RELATIONS, ALL
from tastypie import fields
from handball.models impo... | Engaginglab/scoreit-handball | api.py | api.py | py | 20,144 | python | en | code | 1 | github-code | 1 |
21343589977 | import sys
import time
import traceback
import discord
from os import getenv
from discord import Game, File
from discord.ext import commands
from discord.utils import get
import logging
import re
from urllib.parse import urlparse
from collections import defaultdict
from sqlalchemy import create_engine, func, update, sq... | skydemmon/registerbotv3 | registerbot.py | registerbot.py | py | 15,418 | python | en | code | 0 | github-code | 1 |
9371102148 | #pythonlists
thislist = ["apple","banana","cherry"]
print(thislist)
#lists allow duplicate values
thislist = ["apple","banana","cherry","apple","cherry"]
print(thislist)
#to print the number of items in ths list we use len() function
thislist = ["apple","banana","cherry"]
print(len(thislist))
list1 = ["apple"... | Sandra-Rosa/introduction-to-python | pythonlists.py | pythonlists.py | py | 6,907 | python | en | code | 4 | github-code | 1 |
34013586724 | '''
Brute Force would be for each index, multiply the numbers at all other index.
Time Complexity: O(n^2)
This improve this, how can we store information as we calculate the product of numbers? Sliding window
We can do 2 passes of the array:
1. Left to right - For each index, calculate the product of all nums to the... | kjingers/Leetcode | Problems/ProductOfArrayExceptSelf/ProductOfArrayExceptSelf.py | ProductOfArrayExceptSelf.py | py | 1,548 | python | en | code | 0 | github-code | 1 |
38863371576 | T = int(input())
for t in range(0,T):
a,b,c = map(int, input().split())
lowerBound = a
numOfDigit = len(str(lowerBound))
upperBound = 10**numOfDigit - 1
currentNumberCount = int((upperBound - lowerBound) / b) + 1;
currentDigitCount = currentNumberCount * numOfDigit
while currentDig... | einzeric/lge_competitive_coding | lge_codejam/2021_online_round2/problem_D.py | problem_D.py | py | 829 | python | en | code | 0 | github-code | 1 |
5811938756 | import pandas as pd, numpy as np
import os
os.chdir(os.path.dirname(os.path.abspath(__file__)))
def parseInput(filename):
file = open(filename)
start = True
prev_f = ""
values = []
board = []
for f in file:
if start:
values.append(f[:-2])
start = False
... | utkimchi/Advent_Code | Advent_Code_Python/advent4.py | advent4.py | py | 2,984 | python | en | code | 0 | github-code | 1 |
25472718455 | # this is a really slow network scanner.
# the idea is that it will slowly poke around and check who's up and whos not
# over the course of a while, ideally without being discoverd or tripping over
# network detection systems. who knows if it works
import socket as s
import netifaces
import arprequest
import argparse
... | BingoChado/NetMapper | scanner.py | scanner.py | py | 5,776 | python | en | code | 0 | github-code | 1 |
15500406943 | largura = int(input("Digite a largura: "))
altura = int(input("Digite a altura: "))
auxl = largura
auxa = altura
while altura > 0:
while largura > 0:
if altura == auxa or altura == 1:
print('#', end = "")
else:
if largura == auxl or largura == 1:
print('#', ... | synara/estudospy | imprime_retangulo_vazado.py | imprime_retangulo_vazado.py | py | 483 | python | pt | code | 0 | github-code | 1 |
71400569633 | # 1. С клавиатуры вводится 7 значное число. Если четных цифр в нем больше, чем
# нечетных, то найти сумму всех его цифр, если нечетных больше, то найти
# произведение 1 3 и 6 цифры.
s = int(input("Введите 7ми значное число: "))
a = 0 # счетчик четных
b = 0 # счетчик нечетных
t = 0 # счетчик для суммы
#p = 1 # сче... | 12jf14MY/Obychenie1 | 8-9exzam1/1ex.py | 1ex.py | py | 1,193 | python | ru | code | 0 | github-code | 1 |
71505625634 | import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
img = cv.imread('tower.jpg', cv.IMREAD_GRAYSCALE)
img_data = []
rows, cols = img.shape
img_data.append(str(rows%256))
img_data.append(str(rows//256))
img_data.append(str(cols%256))
img_data.append(str(cols//256))
for row in range(rows):
for col in... | Kaveesha-98/065-538-720-GNC | CPU/test_benches/textUpdate.py | textUpdate.py | py | 782 | python | en | code | 0 | github-code | 1 |
32392455707 | dados = dict()
gols = list()
dados['Nome'] = str(input('NOME DO JOGADOR: ')).strip().title()
p = int(input(f'QUANTAS PARTIDAS {dados["Nome"]} JOGOU? '))
cont = 0
for c1 in range(1, p+1):
p = int(input(f'QUANTOS GOLS {dados["Nome"]} FEZ NA {c1}ª PARTIDA? '))
gols.append(p)
cont += p
dados['gols'] = gols
d... | Lucas-Winicius/estudo | Python/Curso de Python/Exercicios/ex093.py | ex093.py | py | 583 | python | pt | code | 0 | github-code | 1 |
7564949893 | import numpy as np
from lime import lime_tabular
from ...base import Explainer
class LimeExplainer(Explainer):
def __init__(self, train_ds, labels, *args, meta_prefix=None, **kwargs) -> None:
super().__init__(*args, meta_prefix=meta_prefix, **kwargs)
data = np.array([item["item"] for item in tra... | Oxid15/xai-benchmark | xaib/explainers/feature_importance/lime_explainer.py | lime_explainer.py | py | 1,215 | python | en | code | 3 | github-code | 1 |
36580274522 | from matplotlib.colors import ListedColormap
from sklearn.metrics import accuracy_score
import matplotlib.pyplot as plt
import numpy as np
def plot_decision_regions(X, y, classifier, test_idx = None, resolution = 0.02):
labels = np.unique(y)
markers = ('s', 'x', 'o', '^', 'v')
colors = ('red', 'blue', 'lig... | zackcd/Machine-Learning-Projects | utilities.py | utilities.py | py | 1,584 | python | en | code | 0 | github-code | 1 |
3156473153 | #%%
import re
import pandas as pd
import nltk
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import plotly.express as px
from termcolor import colored
from DataUtility impor... | porterbmoody/Wilford-Woodruff-Papers | deprecated/scripts/WoodruffPapers.py | WoodruffPapers.py | py | 8,270 | python | en | code | 0 | github-code | 1 |
33880439793 | from utils import timeit
@timeit
def get_data():
data = []
with open('input.txt') as input_file:
for line in input_file:
value = line.strip()
data.append(value)
return data
@timeit
def part_1(data):
key_pad = [[i*3+j+1 for j in range(3)] for i in range(3)]
x, y = ... | bdaene/advent-of-code | 2016/day02/solve.py | solve.py | py | 1,755 | python | en | code | 1 | github-code | 1 |
18679758196 | import re
print("Rate, woran ich denke:")
for i in 1, 2, 3, 4, 5, 6, 7:
z = input()
if re.findall("[Ll]uhmann", z): # finds "L/luhmann"
print("Du kannst ja Gedanken lesen!")
break
else:
print("Nö.")
print("Luhmann, du Eule.")
| IriniStivi/Ratespiel | ratespiel.py | ratespiel.py | py | 273 | python | de | code | 0 | github-code | 1 |
41489742414 | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2020-11-26 16:07
import glob
import json
import re
from urllib.error import HTTPError
import os
from hanlp_common.io import load_json
from elit.datasets.srl.ontonotes4 import ONTONOTES4_TASKS_HOME, ONTONOTES4_HOME
from elit.datasets.srl.ontonotes5._utils import convert_... | emorynlp/seq2seq-corenlp | elit/datasets/srl/ontonotes4/chinese.py | chinese.py | py | 7,307 | python | en | code | 13 | github-code | 1 |
71238790753 | import numpy as np
import pandas as pd
import os
import matplotlib.pyplot as plt
import pandas as pd
from scipy.stats import hmean
from productiecapaciteit.src.capaciteit_strang import strangWeerstand
import numpy as np
from scipy.optimize import least_squares
from scipy import linalg
from dawacotools import get_daw_ts... | bdestombe/python-pwn-productiecapaciteit-infiltratiegebieden | productiecapaciteit/src/wvp_transient.py | wvp_transient.py | py | 4,472 | python | en | code | 0 | github-code | 1 |
27090992766 | with open('day4/input.txt') as input:
lines = input.readlines()
total_part1 = 0
total_part2 = 0
def intersection(lst1, lst2):
return list(set(lst1) & set(lst2))
for line in lines:
pair = line.split(',')
first_elf_section, second_elf_section = pair[0].split('-'), pair[1].spl... | swimtrunks/AdventOfCode | day4/day4.py | day4.py | py | 1,073 | python | en | code | 1 | github-code | 1 |
11483892621 | from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv('/home/filip/Desktop/MachineLearning/dataset.csv')
#df.drop('date',axis=1)
y = df['deaths']
X = df[['cases','date']]
benchmark ... | filipboucek/MachineLearning-filip_boucek | MachineLearning-filip_boucek/machineLeanrning.py | machineLeanrning.py | py | 1,287 | python | en | code | 0 | github-code | 1 |
5328715406 | # ******************************************************************************
## GLOBIO - https://www.globio.info
## PBL Netherlands Environmental Assessment Agency - https://www.pbl.nl.
## Reuse permitted under Gnu Public License, GPL v3.
# ***************************************************************************... | GLOBIO4/GlobioModelPublic | Calculations/GLOBIO_CalcAquaticRiverFRHLUMSA.py | GLOBIO_CalcAquaticRiverFRHLUMSA.py | py | 5,364 | python | en | code | 17 | github-code | 1 |
28676451867 | from fastai.vision.all import *
from fastai.vision.all import cnn_learner #imports relevant libraries to create a CNN model
from fastaudio.core.all import *
from fastaudio.augment.all import *
from fastaudio.ci import skip_if_ci #imports relevant libraries to prepare audio data
from pandas.api.types impo... | kmcshane811/AutoML | autoMl/source(Commented code)/train_cnn.py | train_cnn.py | py | 2,983 | python | en | code | 1 | github-code | 1 |
74843330274 | from django.http import HttpResponse
from django.shortcuts import render, redirect
from myapp.models import *
from django.contrib import messages
def show_about_page(request):
print("requesting show about page")
name="Channel name is Learn Code with Durgesh"
link="https://www.youtube.com/watch?v=697_0UGxD... | AbdulQadir8/Imagebazzar.github.io | imagebazar/views.py | views.py | py | 1,487 | python | en | code | 0 | github-code | 1 |
8020600920 | import random
from PyQt6.QtWidgets import QPushButton, QApplication, QMainWindow, QWidget, QGridLayout, QLabel
from PyQt6.QtGui import QAction, QIcon
from PyQt6.QtMultimedia import QSoundEffect
from PyQt6.QtCore import QSize, Qt, QCoreApplication, QPoint, QPropertyAnimation, QUrl
from PyQt6 import QtCore
class MainWin... | ArthurDubovik/Minesweeper | Minisweeper_Qt6.py | Minisweeper_Qt6.py | py | 15,854 | python | en | code | 0 | github-code | 1 |
2303554777 | import socket
def main():
# 1. 创建一个 udp 套接字
udp_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# 2. 绑定本地信息 如果一个网络程序不绑定，则系统会随机分配
local_addr = ("", 10789) # ip地址和端口号，ip一般不用写，表示本机的任何一个ip
udp_socket.bind(local_addr)
# 3. 发送信息
send_msg = input("请输入发送的消息：")
send_addr = ("192.168.0... | sunhx0914/PythonTips | udp_send_and_recv.py | udp_send_and_recv.py | py | 844 | python | zh | code | 0 | github-code | 1 |
4536994522 | import scrapy
class CompaniesSpider(scrapy.Spider):
name = "companies"
def start_requests(self):
urls = [
'https://www.nse.co.ke/market-statistics.html'
]
for url in urls:
yield scrapy.Request(url=url, callback=self.parse)
def parse(self, response):
... | wcyn/nse | nse/spiders/companies_spider.py | companies_spider.py | py | 808 | python | en | code | 0 | github-code | 1 |
7730126747 | # Python program to handle simple runtime error
#https://www.geeksforgeeks.org/try-except-python/
n1=10
n2=0
try:
res= n1/n2
print("result = ", res)
except ZeroDivisionError:
print("An error occurred")
else:
print("No exception")
finally:
print("in final") | murali-kotakonda/PythonProgs | PythonBasics1/exception1/TestEx111.py | TestEx111.py | py | 282 | python | en | code | 0 | github-code | 1 |
40089766883 | from rest_framework import serializers
from s2016.models import Doctor, LANGUAGE_CHOICES, STYLE_CHOICES
class DoctorSerializer(serializers.Serializer):
pk = serializers.IntegerField(read_only=True)
name = serializers.CharField(max_length=100)
education = serializers.CharField(max_length=100)
specialty = serial... | ksj1993/s2016 | s2016/serializers.py | serializers.py | py | 995 | python | en | code | 0 | github-code | 1 |
24154787834 | revision = '044'
down_revision = '043'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql.expression import table
MYSQL_ENGINE = 'InnoDB'
MYSQL_CHARSET = 'utf8'
def upgrade(active_plugins=None, options=None):
op.create_table(
'story_types',
sa.Column('id', sa.Integer(), nullable=... | pombredanne/storyboard | storyboard/db/migration/alembic_migrations/versions/044_story_types.py | 044_story_types.py | py | 1,855 | python | en | code | null | github-code | 1 |
29846376006 | import numpy as np
class AntColonyOptimizer:
def __init__(self, num_ants, num_iterations, evaporation_rate=0.5, alpha=1.0, beta=1.0):
self.num_ants = num_ants
self.num_iterations = num_iterations
self.evaporation_rate = evaporation_rate
self.alpha = alpha
self.beta = beta
... | mialtra/ant-colony-RMS-PELNI | AntColonyOptimizer.py | AntColonyOptimizer.py | py | 4,084 | python | en | code | 0 | github-code | 1 |
32917331194 | #Given an array of integers, find the one that appears an odd number of times.
#[1,2,2,3,3,3,4,3,3,3,2,2,1] should return 4, because it appears 1 time
#(which is odd).
def find_oddint(arr):
for i in arr:
if arr.count(i) % 2 != 0:
result = i
else:
continue
return result
f... | MannyVenegas/my-python-katas | findtheoddint.py | findtheoddint.py | py | 358 | python | en | code | 0 | github-code | 1 |
26816860426 | n = int(input())
list1 = []
list2 = []
for i in range(0,n):
min,max1 = list(map(int,input().split()))
for j in range(min,max1):
list1.append(j)
for i in range(0,n):
min,max1 = list(map(int,input().split()))
for j in range(min,max1):
list2.append(j)
m = max(list1[-1],list2[-1])+1
count = ... | jianjiachenghub/PythonClass | CCF/201809/买菜.py | 买菜.py | py | 432 | python | en | code | 0 | github-code | 1 |
34872538868 | import numpy as np
from deep_sort.utils.parser import get_config
from deep_sort.deep_sort import DeepSort
class DeepSortTracker:
"""
DeepSort object tracker.
"""
def init(self, reid_model_path, max_dist=0.2, min_confidence=0.3, nms_max_overlap=1.0,
max_iou_distance=0.7, max_age=70, n_ini... | strikerPro818/strikerBot | Xavier_NX/personDetection.py | personDetection.py | py | 1,215 | python | en | code | 0 | github-code | 1 |
11336816782 | # -*- coding: utf-8 -*-
"""Test s3 class."""
import pytest
from unittest.mock import Mock, patch
from s3_client import s3_client
from conftest import BUCKET_NAME
def test_download_object(s3, s3_bucket, tmpdir):
"""Test object download."""
s3_client.log = Mock()
obj_name = "my_object"
obj_body = "Te... | thobiast/s3_client | tests/test_s3_class_download_object.py | test_s3_class_download_object.py | py | 1,302 | python | en | code | 3 | github-code | 1 |
6328047635 | # json keys from original data are bad... see data:
# http://data.sfgov.org/resource/w969-5mn4.json
class Result:
def __init__(self, result):
self.priority = 0
self.address = result['yr_inst']
self.location = result['addr_num']
self.longitude = float(result['latitude']['longitude'])
self.latitude = float... | cheniel/sf-bike-parking | sf_bike_parking/parkfinder/result.py | result.py | py | 918 | python | en | code | 3 | github-code | 1 |
1218277044 | """ Populate database command module """
import os
import json
from django.core.management.base import BaseCommand
from core.settings import BASE_DIR
from schemas.models.cities import City
from schemas.models.countries import Country
class Command(BaseCommand):
help = "Populate the databse with multiple count... | alexeipopov95/drf-practice | tools/management/commands/populate_database.py | populate_database.py | py | 1,906 | python | en | code | 0 | github-code | 1 |
74143407712 | import unittest
from kerlescan import profile_parser
from kerlescan.exceptions import UnparsableNEVRAError
class PackageParserTests(unittest.TestCase):
def test_package_parsing(self):
tests = {
"0:bluejeans-1.37.22-1": ("bluejeans", "1.37.22-1"),
"0:brscan4-0.4.7-1": ("brscan4", ... | beav/kerlescan | tests/test_info_parser.py | test_info_parser.py | py | 5,022 | python | en | code | 2 | github-code | 1 |
34842461890 | # Basic Calculator: https://leetcode.com/problems/basic-calculator/
# Given a string s representing a valid expression, implement a basic calculator to evaluate it, and return the result of the evaluation.
# Note: You are not allowed to use any built-in function which evaluates strings as mathematical expressions, suc... | KevinKnott/Coding-Review | Month 02/Week 04/Day 02/b.py | b.py | py | 1,678 | python | en | code | 0 | github-code | 1 |
21065158917 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import os
import time
from absl import flags
import absl.logging as _logging # pylint: disable=unused-import
import tensorflow as tf
import imagenet_input
import resnet_model
from tensorflow.contr... | ProjectSidewalk/sidewalk-cv-assets19 | old/tf_resnet_tutorial/tpu/models/experimental/resnet_bfloat16/resnet_main.py | resnet_main.py | py | 18,959 | python | en | code | 4 | github-code | 1 |
72426162273 | #!/usr/bin/python
# https://code.google.com/codejam/contest/2933486/dashboard
# application of insertion sort
N = int(input().strip())
for i in range(N):
M = int(input().strip())
deck = []
count = 0
for j in range(M):
deck.append(input().strip())
p = 0
for k in range(len(deck)):
if k > 0 and deck[k]... | binkoni/algo-practice | codejam/moist/solve.py | solve.py | py | 406 | python | en | code | 0 | github-code | 1 |
6722675922 | from classes import *
cart = Cart()
user = User(cart)
login = False
while(login == False):
username = input("\nEnter your username: ") #checks login credentials
password = input("Enter your password: ")
print("\n")
try: #catch login error
if(user.login(username, password)):
... | jsburrell97/SWArch | main.py | main.py | py | 9,668 | python | en | code | 0 | github-code | 1 |
17716181461 | import os
import unittest
import dosma
from dosma.defaults import preferences
from dosma.utils import env
class TestEnv(unittest.TestCase):
def test_package_available(self):
assert env.package_available("dosma")
assert not env.package_available("blah")
def test_get_version(self):
ass... | ad12/DOSMA | tests/utils/test_env.py | test_env.py | py | 639 | python | en | code | 49 | github-code | 1 |
20181232988 | """
radixsort string
sortowanie pozycyjne
Complexity O(d*n)
gdzie: d - ilość znaków w każdym słowie
n - liczba słów
"""
def SortOnPosString(A, pos): # sortuje A, ktora jest 2-wym, pos to index wg którego sortujemy
n = len(A)
dig = [0] * (58) # bo ord('z') - ord('A')=57 więc potrzebuję indeksy od 0 do... | wlgs/algorithms-and-data-structures-course | sorts/radixsort_string.py | radixsort_string.py | py | 1,620 | python | pl | code | 0 | github-code | 1 |
27662200815 | # coding: utf-8
from .base import MongoBase
from .index import MongoIndex, MongoReIndex
from .topic import MongoTopic, MongoReTopic
from .comment import MongoComment
from .feedback import MongoFeedback
from .ossfile import OssFile
from .local import LocalFile
__all__ = [
'MongoWeb',
]
class MongoWeb(MongoBase):
d... | endsh/haoku-open | kread/read/db/web.py | web.py | py | 895 | python | en | code | 6 | github-code | 1 |
31192285305 | import re
import sys
vowels = "[ауоыиэяюёе]"
not_vowels = "[бвгджзйклмнпрстфхцчшщьъ]"
perfect_gerund_endings = r'(вшись|вши|в)$'
perfect_gerund_endings_for_search = '(а|я)' + perfect_gerund_endings
perfect_gerund_endings2 = r'(ившись|ывшись|ивши|ывши|ив|ыв)$'
reflexive = r'(сь|ся)$'
adjective = r'(ыми|ими|его|ого|ем... | YauheniSuvitau/stemming | main.py | main.py | py | 3,529 | python | en | code | 0 | github-code | 1 |
2946911396 | # Авторизоваться на сайте https://fix-online.sbis.ru/
# Перейти в реестр Контакты
# Отправить сообщение самому себе
# Убедиться, что сообщение появилось в реестре
# Удалить это сообщение и убедиться, что удалили
# Для сдачи задания пришлите код и запись с экрана прохождения теста
from selenium import webdriver
from se... | AnnaBlem/AT_course | hw11/task_2.py | task_2.py | py | 3,467 | python | ru | code | 0 | github-code | 1 |
42769197778 | #!/usr/bin/python
# __author__ = 'jasonsheh'
# -*- coding:utf-8 -*-
import sys
import requests
import threading
import queue
import time
from database.database import Database
class Sendir:
def __init__(self, targets, id=''):
self.targets = targets
self.id = id
self.q = queue.Queue(0)
... | euphrat1ca/SiteScan | lib/sendir.py | sendir.py | py | 3,854 | python | en | code | 1 | github-code | 1 |
25467462275 | __author__ = 'jcgregorio@google.com (Joe Gregorio)'
import unittest
from oauth2client import xsrfutil
# Jan 17 2008, 5:40PM
TEST_KEY = 'test key'
TEST_TIME = 1200609642081230
TEST_USER_ID_1 = 123832983
TEST_USER_ID_2 = 938297432
TEST_ACTION_ID_1 = 'some_action'
TEST_ACTION_ID_2 = 'some_other_action'
TEST_EXTRA_INFO_... | hanpfei/chromium-net | third_party/catapult/third_party/gsutil/third_party/oauth2client/tests/test_xsrfutil.py | test_xsrfutil.py | py | 3,932 | python | en | code | 289 | github-code | 1 |
14592464595 | from rest_framework import serializers
from .models import RegisterInvitation
from django.core.mail import send_mail
from django.conf import settings
import datetime
class RegisterInvitationSerializer(serializers.ModelSerializer):
class Meta:
model = RegisterInvitation
fields = '__all__'
de... | benhchoi/coursemanager | coursemanager/invitations/serializers.py | serializers.py | py | 950 | python | en | code | 0 | github-code | 1 |
2269945821 | import os
import torchvision as tv
import numpy as np
from PIL import Image
def get_dataset(args, transform_train, transform_test):
cifar_train = Cifar100Train(args, train=True, transform=transform_train, download = args.download)
testset = tv.datasets.CIFAR100(root='./data', train=False, download=False, tran... | EricArazo/ImportanceSampling | dataset/cifar100_dataset.py | cifar100_dataset.py | py | 1,531 | python | en | code | 10 | github-code | 1 |
6953518270 | import json
from django.shortcuts import render, get_object_or_404, render_to_response
from django.template import loader
from django.http import HttpResponse, HttpResponseRedirect
from .models import Libro
from .models import Autor, Editor
from .forms import AutorForm, EditorForm
from django.views.generic import List... | JokerBerlin/python | biblioteca/views.py | views.py | py | 7,569 | python | en | code | 0 | github-code | 1 |
17811259423 | #!/usr/bin/env python3
import numpy as np
import h5py
import glob
import matplotlib
import matplotlib.pyplot as plt
import argparse
import csv
def get_dataset_keys(f):
keys = []
f.visit(lambda key : keys.append(key) if isinstance(f[key], h5py.Dataset) else None)
return keys
if __name__ == '__main__':
... | MichaelSt98/milupHPC | postprocessing/PlotBB.py | PlotBB.py | py | 2,384 | python | en | code | 6 | github-code | 1 |
31808609856 | # encoding: utf-8
import re
import time
import json
import datetime
from aliyun.log import *
from prometheus_client import CollectorRegistry, push_to_gateway, Gauge, write_to_textfile
endpoint = '' # 选择与上面步骤创建Project所属区域匹配的Endpoint
accessKeyId = '' # 使用你的阿里云访问密钥AccessKeyId
accessKey = '' # 使用你的阿里云访问密钥Acc... | amendge/OpsSricpts | getlogfromaliyun.py | getlogfromaliyun.py | py | 1,943 | python | en | code | 5 | github-code | 1 |
13496397373 | import logging
import logging.handlers
import sys
import datetime
LOGGING_LEVEL = logging.DEBUG
LOGGING_BASE = '/tmp'
SUMMON_API_HOST = 'api.summon.serialssolutions.com'
# Google credentials
GOOGLE_CRED_JSON_FILE = ''
# Summon Credentials
SUMMON_ACCESS_ID = ''
SUMMON_API_KEY = ''
supported_languages = {
'Afri... | summon/translated-search | translatedsearch/settings.py | settings.py | py | 2,042 | python | en | code | 2 | github-code | 1 |
10651942871 | #imports
import json
import pandas as pd
from tqdm import *
import pickle
import networkx as nx
# Extraindo dados dos json e colocando em dataframe pandas
contador = 0
lista_slices = []
# Quantidade de slices que serão utilizados, 1 slice são 1000 playlists
pegar_quant_slices = 1
while(True):
with open("data\mpd... | Carlos1999/Network_Analysis_Spotify_Playlists | Cria_grafo.py | Cria_grafo.py | py | 2,942 | python | pt | code | 0 | github-code | 1 |
23885346763 | import numpy as np
from numpy.testing import assert_array_almost_equal
from reservoirpy.nodes import Reservoir, Ridge
def test_ridge_init():
node = Ridge(10, ridge=1e-8)
data = np.ones((1, 100))
res = node(data)
assert node.Wout.shape == (100, 10)
assert node.bias.shape == (1, 10)
assert n... | reservoirpy/reservoirpy | reservoirpy/nodes/tests/test_ridge.py | test_ridge.py | py | 2,922 | python | en | code | 296 | github-code | 1 |
74574230112 | def deltat (popT,Tc,a):
delta = a*(popT**2)*(1 - (Tc/popT))
return delta
def deltaA (popA,Ac,k):
delta = k*(popA**2)*(1 - (Ac/popA))
return delta
def deltaV (popV,Vc,l):
delta = l*(popV**2)*(1 - (Vc/popV))
return delta
def Tf(popA,Ap,popT):
tubarao_fome=popA/Ap-popT
return tubarao_fome
def A... | Leobhering/projeto1-modsim | Projeto 1/projeto1.py | projeto1.py | py | 1,851 | python | pt | code | 0 | github-code | 1 |
39727612180 | #!/usr/bin/python3
#part 1
f = open('02_input.txt')
coordinates = [0,0] #forward, depth
path = []
count = 0
for i in f.readlines():
path.append(i[:-1]) #-1 to not copy the newline character
for a in path:
if a[0] == "f":
coordinates[0] += int(a[-1])
elif a[0] == "u":
coordinates[1] -= ... | derwaro/2021AdventOfCode | 02.py | 02.py | py | 864 | python | en | code | 0 | github-code | 1 |
1931622003 | """
This module contains a Flask application that uses OpenAI's GPT-4 model to chat with users.
"""
import os
import markdown
from flask import Flask, request, jsonify, render_template
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from flask_bootstrap import Bootstrap
from gunicorn.app.ba... | hooman130/gpt4-gui | main.py | main.py | py | 3,003 | python | en | code | 0 | github-code | 1 |
42157120652 | # from django.http import JsonResponse, HttpResponse
from rest_framework.status import HTTP_201_CREATED, HTTP_404_NOT_FOUND, HTTP_400_BAD_REQUEST, HTTP_200_OK
from .serializers import *
from .models import *
from .exceptions import *
from rest_framework.response import Response
from rest_framework.views import APIVie... | Ellanity/sweets-from-all-misfortunes | server/delivery/views.py | views.py | py | 16,143 | python | en | code | 1 | github-code | 1 |
6370764918 | import json
import tweepy
import socket
ACCESS_TOKEN = '311893922-jasoBxDymbqR4OxLBoDLw9Ab0pkPqUX2AVxFoYuy'
ACCESS_SECRET = 'wa87QvHapxNOh3AxDy5bPL1vh9GrfqDA5kKuasbn8unhl'
CONSUMER_KEY = 'UiDazJWIu3SvHSxltmO7mtN6b'
CONSUMER_SECRET = 'YDI2mHOyWXfjUupr1CpUNVpAD6oin6YQ2u03RpWUtPbFeaXn4H'
auth = tweepy.OAuthHandler(CON... | Sharayu2554/Big-Data | HW3/RoughWork/tweetApi.py | tweetApi.py | py | 1,319 | python | en | code | 0 | github-code | 1 |
7799926770 | class Car(object):
"""A simple attempt to represent a car"""
def __init__(self,make,model,year):
"""Initialize attributes to describe a car"""
self.make=make
self.model=model
self.year=year
self.odometer_reading=0
def get_descriptive_name(self):
"""Return a ... | rishabhchopra1096/Python_Crash_Course_Code | Chapter_9_Classes/Class_car.py | Class_car.py | py | 1,762 | python | en | code | 0 | github-code | 1 |
75189377633 | # Test file
def countNegatives(grid):
n_count = 0
row_length = len(grid[0])
for an_item in grid:
for i in range(row_length):
if an_item[i] < 0:
n_count = n_count+(row_length-i)
break
return n_count
countNegatives([[4,3,2,-1],[3,2,1,-1],[1,1,-1,-2],[-... | MallikarjunHS/leetcode | 0000_playground.py | 0000_playground.py | py | 333 | python | en | code | 0 | github-code | 1 |
74830203233 | from numpy import arange, dot, ones, append, savetxt, zeros, asarray, exp
from numpy.random import RandomState
def create_phenotype(covariates, covariances):
nsamples = covariates.shape[0]
y = zeros(nsamples)
random = RandomState(0)
y += dot(covariates, random.randn(covariates.shape[1]))
for K i... | limix/ggp-poisson-example | create_example.py | create_example.py | py | 1,240 | python | en | code | 0 | github-code | 1 |
10048401104 | """
Search a 2D Matrix II
Write an efficient algorithm that searches for a value in an m x n matrix. This matrix has the following properties:
Integers in each row are sorted in ascending from left to right.
Integers in each column are sorted in ascending from top to bottom.
Example:
Consider the following matrix:
[
... | okaysidd/Interview_material | Extras/Search a 2D Matrix II.py | Search a 2D Matrix II.py | py | 1,167 | python | en | code | 0 | github-code | 1 |
2697335806 | from math import lcm
def main() -> None:
with open("input.txt") as f:
# Parsing input for monkey class constructor
for monkey in [el.splitlines() for el in f.read().split("\n\n")]:
items = [int(el) for el in monkey[1].removeprefix(
" Starting items: ").split(", ")]
... | Gutek8134/AdventOfCode2022 | Day 11/main.py | main.py | py | 4,879 | python | en | code | 0 | github-code | 1 |
21232958424 | import numpy as np
import copy
import pickle
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset, DataLoader
from sklearn.metrics import f1_score
import feature_engineer
from catboost import CatBoostClassifier
from xgboost import XGBClassifier
from mlp import MLP
class EnsembleRNN(nn.Modul... | hjc18/sml_project | ensemble.py | ensemble.py | py | 6,012 | python | en | code | 1 | github-code | 1 |
1918040195 | #!/usr/bin/env python
# coding=utf-8
"""
TBW
"""
from __future__ import absolute_import
from __future__ import print_function
import os
from ipapy.ipastring import IPAString
from wiktts import write_file
from wiktts.cleanedpronunciationlexicon import CleanedPronunciationLexicon
from wiktts.commandlinetool import Com... | pettarin/wiktts | wiktts/lexcleaner/lexcleaner.py | lexcleaner.py | py | 9,712 | python | en | code | 5 | github-code | 1 |
35916070388 | # -*- coding: utf-8 -*-
from typing import Dict, List, Tuple
import json
import requests
import re
from enum import Enum
from bs4 import BeautifulSoup
import configparser
import logging
import pickle
# 创建日志记录器
logger = logging.getLogger('my_logger')
logger.setLevel(logging.DEBUG)
file_logger = logging.getLogger('my... | supersonictan/astro_web | util.py | util.py | py | 9,394 | python | en | code | 0 | github-code | 1 |
71903777953 | # List (for in)
# //
# If Statement
# Variables
# Maak drie variables aan. Een die de prijs van het gekozen product vasthoud, een die het betaalde bedrag vasthoud en de derde die het verschil tussen die twee variables vasthoud.
# Maak zes variables aan die de Integers van de munteenheid kunnen vasthouden.
# Maa... | ZekoTheDev/Python | vendingMachine.py | vendingMachine.py | py | 2,578 | python | nl | code | 0 | github-code | 1 |
8275354682 | import argparse
parser = argparse.ArgumentParser(
description="Save baselines and klambda conversions to CSV."
)
parser.add_argument("outfile", help="Destination to save CSV table.")
args = parser.parse_args()
import csv
import numpy as np
from mpol.constants import c_ms
header = ["baseline", "100 GHz (Band 3)... | shawn194/MPoL | docs/_static/baselines/src/print_conversions.py | print_conversions.py | py | 1,298 | python | en | code | null | github-code | 1 |
2889270077 | import sys
readline = sys.stdin.buffer.readline
map_readline = lambda: map(int, readline().split())
sreadline = lambda: readline().decode("utf-8").rstrip()
if __name__ == "__main__":
N = int(readline())
S = sreadline()
pins = [None] * 1000
for i in range(1000):
num = str(i)
pins[i] = ("... | Kumamoto-Hamachi/atcoder_pr | others/archives_abc_selection/SUMITRUST2019/d/d.py | d.py | py | 711 | python | en | code | 1 | github-code | 1 |
40249437213 | n = int(input())
points = []
for _ in range(n):
p = float(input())
points.append(p)
def quick_sort(lists, left, right):
# quick sort
if left >= right:
return lists
key = lists[left]
low = left
high = right
while left < right:
while left < right and lists[right] >= key:
... | nummy/exec | conqure/q1/a1.py | a1.py | py | 725 | python | en | code | 0 | github-code | 1 |
24893230486 | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
from lxml import etree
from WaiBaoSpider.utils.csvWriter import CSVDumper
from WaiBaoSpider.utils.base import unicode_body, deal_ntr
import os
class ChuzhouSpider(scrapy.Spider):
name = 'chuzhou'
base_url = "http://www.chuzhou.gov.cn/content/col... | jamesfyp/WaiBaoSpider | WaiBaoSpider/spiders/chuzhou.py | chuzhou.py | py | 3,885 | python | en | code | 1 | github-code | 1 |
31056112122 | """M345SC Homework 2, part 1
Jimmy Yeung 01203261
"""
def count_days(task_id):
days = dict()
if task_id in days:
return days[task_id]
if not L[task_id]:
days[task_id]=0
return 0
md = max([count_days(t) for t in L[task_id]])
days[task_id] = md + 1
return days[task_id]
def ... | jyeung205/University-Projects | M3SC-Scientific-Computation/hw2/p1.py | p1.py | py | 6,689 | python | en | code | 0 | github-code | 1 |
15247482287 | import socketserver
import socket
import threading
import functools
from webserver.casseroleWebServerImpl import CasseroleWebServerImpl, dashboardWidgetList, WEB_ROOT
from utils.singleton import Singleton
# A threaded TCP server starts up new python threads for each client request, which allows
# complex reque... | RobotCasserole1736/firstRoboPy | webserver/webserver.py | webserver.py | py | 2,100 | python | en | code | 1 | github-code | 1 |
37785348874 | import pandas as pd
#import nltk
#from nltk.corpus import wordnet
#from nltk.stem.lancaster import LancasterStemmer
#from nltk.stem import WordNetLemmatizer
#import spacy
#from spacy.matcher import Matcher
from thefuzz import fuzz, process
import sys
sys.setrecursionlimit(10**6)
# lists to create pandas dataframes
... | runo-hr/NLP-vocabulary-matching | draft/draft.py | draft.py | py | 2,601 | python | en | code | 0 | github-code | 1 |
8872246940 | class return_value(object):
def __init__(self, plaintext, description, certainty):
self.plaintext = plaintext
self.description = description
self.certainty = certainty
with open("dictionary.txt", "r") as dict_file:
dictionary = dict_file.read().split("\n")
with open("dict_oxford.txt", "r") as dict_file:
... | spook-dev/ciphersolver | CipherSolverIncludes.py | CipherSolverIncludes.py | py | 1,727 | python | en | code | 1 | github-code | 1 |
74962288673 | import os
import threading
import time
import tkinter.messagebox
from tkinter import *
from tkinter import filedialog
import pyglet
from tkinter import ttk
from ttkthemes import themed_tk as tk
from mutagen.mp3 import MP3
from pygame import mixer
class Media:
def musicPlayer(self, music_player, window):
... | Dkarya846/PaiBot | ExtraFiles/MediaPlayer.py | MediaPlayer.py | py | 6,714 | python | en | code | 1 | github-code | 1 |
19031150212 | import numpy as np
import pandas as pd
class BiasVarianceCovariance:
@classmethod
def get_bvc(cls, y_hat: pd.DataFrame, y: np.ndarray):
return cls.avg_sqr_bias(y_hat, y), cls.avg_var(y_hat), cls.avg_cov(y_hat)
@staticmethod
def avg_sqr_bias(y_hat: pd.DataFrame, y: np.ndarray):
"""
... | vcerqueira/blog | src/ensembles/bvc.py | bvc.py | py | 970 | python | en | code | 15 | github-code | 1 |
70839054753 | q = int(input())
for _ in range(q):
lst = list(map(int, input().split()))
a, b = lst[0], lst[1]
if a == b:
print(0)
elif a < b:
if (b-a) % 2 == 0: # 짝수 차이면
print(2)
else: # 홀수 차이면
print(1)
elif a > b:
if (a-b) % 2 == 1: # 홀수 차이면
... | ckdfh0917/Algorithm | CodeForces/Div. 3/#624/A.py | A.py | py | 395 | python | ko | code | 0 | github-code | 1 |
31002519252 | import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import os
import gc
array_length = 2**20
num_arrays = 10
filename = "test.parquet"
# Only run this if the data file hasn't been already generated
if(not os.path.isfile(filename)):
# Generate arrays and write them to a datafr... | Hugo-loio/lasap | test/parquet_read_bug.py | parquet_read_bug.py | py | 2,055 | python | en | code | 0 | github-code | 1 |
2736703863 | '''
https://www.codewars.com/kata/520b9d2ad5c005041100000f/python
'''
from curses.ascii import isalpha
def pig_it1(text:str):
content = []
txt_lst = text.split()
for txt in txt_lst:
if not isalpha(txt[0]):
content.append(txt)
continue
first_letter = txt[0]
... | SzybkiRabarbar/CodeWars | 2022-03/2022-03-29Simple Pig Latin.py | 2022-03-29Simple Pig Latin.py | py | 625 | python | en | code | 0 | github-code | 1 |
6080209867 | import gym
from gym import spaces
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import minimize
class PortfolioManagementEnv(gym.Env):
"""
Portfolio Management Env
"""
def __init__(self, seed=0):
# self.simulator = BlackScholes(num_stocks=3,
# ... | JinyangJiangAI/Quantile-based-Policy-Optimization | portfolio_management/envs/portfolio_management.py | portfolio_management.py | py | 9,366 | python | en | code | 6 | github-code | 1 |
43104630194 | from Assignment1 import human
class Emp(human) :
def emply(self):
desg = input("enter designation")
exp = input("enter expierence")
sal = input("enter salary")
hike = "10000" if desg.lower() >= "PM" else "8000" if desg.lower() >= "TL" else "5000"
print("HIkE : ",hi... | Pooja5573/DS-Pragms | emp.py | emp.py | py | 444 | python | en | code | 0 | github-code | 1 |
7555774390 | T = int(input())
for i in range(T):
s = input()
arr = list(s)
result = True
for j in range(len(arr)//2):
if arr[j] != arr[-1-j]:
result = False
break
if result:
print(f"#{i+1} 1")
else:
print(f"#{i+1} 0") | seriokim/SW-Expert-Academy | sw_1989.py | sw_1989.py | py | 278 | python | en | code | 0 | github-code | 1 |
29963253724 | import random
from W_Main_File.Data import HpEntity
def calculate_damage(damage, elements, target: HpEntity.HpEntity):
from W_Main_File.Data.Item import DamageType
if elements & (DamageType.Any_Elemental & ~DamageType.Void_Elemental):
elemental_damage = damage * 0.2
elif elements & DamageType.Voi... | jackshotgamer/Adventure-Mini-Visual-Game | W_Main_File/Utilities/Damage_Calc.py | Damage_Calc.py | py | 625 | python | en | code | 1 | github-code | 1 |
33706405037 | import random
def is_prime(n):
"""
:param n:
:type n:
:return:
:rtype:
"""
assert n >= 2
if n == 2:
return True
if n % 2 == 0:
return False
# for n < 2^64, these a are sufficient
for a in {2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37}:
if not rabin_... | liamlundy/rsa | utils/rabin_miller.py | rabin_miller.py | py | 990 | python | en | code | 0 | github-code | 1 |
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