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
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
16068511369 | price = 22.50
print("hello and welcome to dogsRus")
loop = True
dog_name = ""
while loop:
print("1: Pick up dog\n2: Drop of dog\n3: List all staying dogs\nX: Exit program")
option = input("what option would you like to choose? ")
section = ["Betty", "Dog"]
if option == "1":
dog_name = input("en... | turnera2122/code-lmao | dog walker code.py | dog walker code.py | py | 1,021 | python | en | code | 0 | github-code | 36 |
16759793113 | import datetime
from ..command_system import Command
from ...models import Client, Schedule, Teacher, Subject
from ...utils import awesome_date
def next_lesson(domain):
client = Client.query.filter(Client.social_network == 'https://vk.com/'+ domain['domain']).first()
schedule = Schedule.query.filter((Schedule.c... | edukato/learning | app/home/commands/next_lesson.py | next_lesson.py | py | 1,707 | python | ru | code | 0 | github-code | 36 |
20500455998 | import mailbox
from contextlib import contextmanager
import tempfile
from io import BytesIO
import gzip
import logging
import requests
from mlarchive2maildir.message import deobfuscate
class MessageIdMaildir(mailbox.Maildir):
"""
An extension of the mailbox.Maildir class that you can ask
whether a me... | flokli/mlarchive2maildir | mlarchive2maildir/mailbox.py | mailbox.py | py | 3,148 | python | en | code | 2 | github-code | 36 |
13895020960 | import matplotlib.pyplot as plt
import numpy as np
x = np.array([[1,0],[0,1],[0,-1],[-1,0],[0,2],[0,-2],[-2,0]])
y = np.array([-1,-1,-1,1,1,1,1])
def z(X):
x1, x2 = X[0], X[1]
t1 = x2**2 - 2*x1 - 2
t2 = x1**2 - 2*x2 - 1
return [t1,t2]
T = np.array([z(i) for i in x])
for i in T:
print(i)
from sklearn import svm... | kevinliu726/MachineLearningTechnique | hw1/1.py | 1.py | py | 1,275 | python | en | code | 0 | github-code | 36 |
12467284700 | from cell import Cell, WrongCellsAmountError
cell_one = Cell(amount=4)
cell_two = Cell(amount=3)
cell_three = Cell(amount=2)
cell_four = Cell(amount=5)
cell_five = Cell(amount=3)
cell_six = Cell(amount=33)
result = (cell_one + cell_two - cell_three) * cell_four / cell_five
print(result)
print(f'Make order with size... | acselerai/pyf | home_work_7/task_3/main.py | main.py | py | 639 | python | en | code | 0 | github-code | 36 |
21119796127 | import heapq
from math import inf
from typing import List
class Solution:
def minimumTime(self, grid: List[List[int]]) -> int:
m, n = len(grid), len(grid[0])
if grid[0][1] > 1 and grid[1][0] > 1:
return -1
dis = [[inf] * n for _ in range(m)]
dis[0][0] = 0
h = ... | plattanus/leetcodeDAY | python/2577. 在网格图中访问一个格子的最少时间.py | 2577. 在网格图中访问一个格子的最少时间.py | py | 961 | python | en | code | 0 | github-code | 36 |
41917076519 | from flask import jsonify, make_response
import src.flaskr.controllers.turn_logic as turn_logic
from src.flaskr.controllers.uuid_supplier import UuidSupplier
import src.flaskr.controllers.winner_logic as winner_logic
from src.flaskr.models.game_model import Game, GameSchema, MoveSchema
from src.flaskr.persistence.repos... | eriklong95/tiktak | src/flaskr/controllers/games_controller.py | games_controller.py | py | 3,297 | python | en | code | 0 | github-code | 36 |
27052806329 | from typing import List
class Solution:
def _fizzBuzz(self, number):
if number % 15 == 0:
return "FizzBuzz"
elif number % 5 == 0:
return "Buzz"
elif number % 3 == 0:
return "Fizz"
else:
return str(number)
def fizzBuzz(self, n: in... | ikedaosushi/leetcode | problems/python/fizzBuzz.py | fizzBuzz.py | py | 397 | python | en | code | 1 | github-code | 36 |
39853467321 | import cv2 as cv
import numpy as np
im = cv.imread('car.png', 0)
kernel = np.ones((5, 5), np.int16) * 1 / 25
out = cv.filter2D(im, -1, kernel)
print(out)
for i in range(len(out)):
for j in range(len(out[0])):
if out[i][j] < 128:
out[i][j] = 255
else:
out[i][j] = 0
cv.imsh... | RonaldCDO/Python | python_opencv/grayscale_images.py | grayscale_images.py | py | 376 | python | en | code | 0 | github-code | 36 |
22530241228 | from itertools import zip_longest
from typing import Optional
import numpy as np
import pytest
import gym
from gym.spaces import Box, Graph, utils
from gym.utils.env_checker import data_equivalence
from tests.spaces.utils import TESTING_SPACES, TESTING_SPACES_IDS
TESTING_SPACES_EXPECTED_FLATDIMS = [
# Discrete
... | openai/gym | tests/spaces/test_utils.py | test_utils.py | py | 3,718 | python | en | code | 33,110 | github-code | 36 |
70062828584 | from flask import Blueprint, render_template, request, current_app,redirect
from flask import url_for, flash
from jobweb.decorators import admin_required
from jobweb.models import db,User
from jobweb.forms import UserRegisterForm, CompanyRegisterForm,UserEditForm, CompanyEditForm
admin = Blueprint('admin', __name__, u... | LouPlus/jobplus3-9 | jobweb/handlers/admin.py | admin.py | py | 2,498 | python | en | code | 0 | github-code | 36 |
7974449383 | import string
class Token(object):
eof = 'EOF'
ident = 'IDENT'
number = 'NUMBER'
operator = 'OP'
punctuator = 'PUNC'
keyword = 'KEYWORD'
block_start = 'START'
block_end = 'END'
keywords = ['if', 'else', 'while', 'output']
def __init__(self, type, value, line, line_no, lin... | paynetechnologies/SimpleOnePass | src/lexer2.py | lexer2.py | py | 4,248 | python | en | code | 0 | github-code | 36 |
984949848 | """empty message
Revision ID: dde24bfed677
Revises: 0c89b9c0a9cd
Create Date: 2020-04-07 16:50:44.747914
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'dde24bfed677'
down_revision = '0c89b9c0a9cd'
branch_labels = None
depends_on = None
def... | torbjomg/pwa_flask_app | migrations/versions/dde24bfed677_.py | dde24bfed677_.py | py | 1,867 | python | en | code | 0 | github-code | 36 |
27490420908 | import datetime
from FileBlackHolePy import FileBlackHole, initLib, destroyLib
from MigurdiaPy import Migurdia
from json import dumps, loads
from colors import log, bcolors
from PIL import Image
from credentials import __USERNAME__, __PASSWORD__, __TOKEN__
from os.path i... | iLikeTrioxin/PTMU | pixivToMigurdiaUploader.py | pixivToMigurdiaUploader.py | py | 6,744 | python | en | code | 0 | github-code | 36 |
476311110 | import json
import clearskies
from clearskies.handlers.exceptions import ClientError, InputError
from clearskies.handlers.base import Base
from .exceptions import ProducerError
class NoInput(clearskies.handlers.SchemaHelper, Base):
_configuration_defaults = {
'base_url': '',
'can_rotate': True,
... | cmancone/clearskies-akeyless-custom-producer | src/clearskies_akeyless_custom_producer/handlers/no_input.py | no_input.py | py | 10,414 | python | en | code | 0 | github-code | 36 |
30337199579 | import Gui
import networkx as nx
import random
def ant(graph:nx.Graph, psize:int, node:tuple, pgraph, pherom, pheromcoef, update):
ants = []
for i in range(psize):
ants.append([set(),0])
findway(graph, pgraph , ants[-1], node, pheromcoef)
update()
s = node
for n in ants[... | rawr-0/ants_algorithm_lab | main.py | main.py | py | 1,524 | python | en | code | 0 | github-code | 36 |
41550884221 | import math
import warnings
from typing import Sequence
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchmetrics.functional import pairwise_cosine_similarity
from mmcv.cnn import (build_activation_layer, build_conv_layer,
build_norm_layer, xavier_ini... | parkyongjun1/rotated_deformabledetr | AO2-DETR/mmrotate/models/utils/rotated_transformer.py | rotated_transformer.py | py | 59,187 | python | en | code | 0 | github-code | 36 |
4941442035 | import requests
import configparser
import json
cfg = configparser.ConfigParser()
cfg.read("config.ini")
_api_url = str(cfg["default"]["api_url"])
def test_post_scm_repo():
response = requests.post(f"{_api_url}/scm-repos", json={"url": "abc"})
assert response.status_code == 201
body = response.json()
... | shmenkins/acceptance-tests | shmenkins/at/api_test.py | api_test.py | py | 378 | python | en | code | 0 | github-code | 36 |
16103131667 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name='ISY994v5',
version='0.9.7',
description='ISY99 Controller Rest and Websocket client v5 firmware',
author='Michael Cumming',
author_email='mike@4831.com',
long_description=long_descrip... | mjcumming/ISY994v5 | setup.py | setup.py | py | 804 | python | en | code | 4 | github-code | 36 |
10900975641 | A = ["Alpha", "Bravo", "Charlie"]
print("Список: ", A)
B = ", ".join(A)
print("Текст: ", B)
C = B.split(", ")
print(C)
txt = """Прошли года
И в свете лет
Есть мудрость
А вот счастья нет"""
print(txt)
D = txt.splitlines()
print(D)
| SetGecko/PonPbyEandT | Chapter_5/Listing05_09.py | Listing05_09.py | py | 287 | python | ru | code | 0 | github-code | 36 |
14063780861 | #Exercicio 1
print("Lojas Quase Dois - Tabela de preços")
a = 1
while a < 51:
print(a, "Total R$:", (a * 1.99))
a = a + 1
#Exercicio 2
print("Panificadora Pão de Ontem - Tabela de preços")
quantity = int(input("Informa a quantidade de pães: "))
while quantity < 51:
print(quantity, "Total R$:", (quantity * ... | kaueribeiro99/training-python-logic | training-while.py | training-while.py | py | 2,438 | python | pt | code | 0 | github-code | 36 |
44007402888 | from django.urls import path
from .views import (
BasicInfoView,
ContactFormView,
FindProviderMedicationView,
GetFormOptionsView,
)
public_api_urlpatterns = [
path(
'options/',
GetFormOptionsView.as_view(),
),
path(
'find_providers/',
FindPro... | ninjadevtrack/medifiner-api | public/api_urls_v1.py | api_urls_v1.py | py | 521 | python | en | code | 1 | github-code | 36 |
1791196487 | import numpy as np
import csv, operator
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D
from matriz import minimosCuarados, readFile, mat
from gauss import convertirCeros, convertirUnos
from sistemasEcuaciones import ecuacionesParciales,solve
matriz, renglones, columnas = readFile()
readFile()
po... | lucalice/Multiple-Linear-Regression-MLR- | main.py | main.py | py | 2,170 | python | en | code | 0 | github-code | 36 |
12607805013 | from gevent import monkey
monkey.patch_all()
from bs4 import BeautifulSoup
import requests
from fake_useragent import UserAgent
import gevent
from gevent.queue import Queue
import os
def getPictures():
while not urls.empty():
item = urls.get_nowait()
if not os.path.exists(f'F://meiziba//{item[1]}... | Kenny3Shen/CodeShen | Code/Python/Web Crawler/meiziba.py | meiziba.py | py | 1,509 | python | en | code | 0 | github-code | 36 |
36838033719 | import os
import sys
from typing import List
import yaml
# Permit imports from "buildscripts".
sys.path.append(os.path.normpath(os.path.join(os.path.abspath(__file__), '../../..')))
# pylint: disable=wrong-import-position
from buildscripts.idl import lib
from buildscripts.idl.idl import parser
def gen_all_feature... | mongodb/mongo | buildscripts/idl/gen_all_feature_flag_list.py | gen_all_feature_flag_list.py | py | 1,844 | python | en | code | 24,670 | github-code | 36 |
8445360878 | import operator
import warnings
import numpy
try:
import scipy.sparse
_scipy_available = True
except ImportError:
_scipy_available = False
import cupy
from cupy._core import _accelerator
from cupy.cuda import cub
from cupy.cuda import runtime
from cupyx.scipy.sparse import _base
from cupyx.scipy.sparse i... | cupy/cupy | cupyx/scipy/sparse/_csr.py | _csr.py | py | 42,419 | python | en | code | 7,341 | github-code | 36 |
21809713879 | import asyncio
import logging
from bleak import BleakClient, BleakScanner
DEVICE_NAME = "iBobber"
IBOBBER_ADDR = "34:14:B5:4B:B9:15"
ACCEL_SERVICE_UUID = "1791FFA0-3853-11E3-AA6E-0800200C9A66"
CUSTOM_SERVICE_UUID = "1791FF90-3853-11E3-AA6E-0800200C9A66"
BATT_SERVICE_UUID = "0000180F-0000-1000-8000-00805F9B34FB"
DEVIC... | limehouselabs/i.-bobba | ibobber/__main__.py | __main__.py | py | 1,810 | python | en | code | 0 | github-code | 36 |
21619772911 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
import apache_beam as beam
from apache_beam.runners.direct import direct_runner
from apache_beam.runners.interactive import cache_manager as cache
from apache_beam.runners.interactive import pi... | a0x8o/kafka | sdks/python/apache_beam/runners/interactive/pipeline_analyzer_test.py | pipeline_analyzer_test.py | py | 10,712 | python | en | code | 59 | github-code | 36 |
26383130759 | import os
os.environ["XLA_FLAGS"] = "--xla_force_host_platform_device_count=4"
import sys
from typing import Literal
import pickle
sys.path.append(snakemake.config['workdir'])
import jax
from jax.config import config
config.update("jax_enable_x64", True)
print(f"Jax device count: {jax.local_device_count()}")
impor... | jarsba/gradu | scripts/create_models_for_linear_regression.py | create_models_for_linear_regression.py | py | 4,405 | python | en | code | 0 | github-code | 36 |
24184494226 | """
H4xton fake typing chat exploit
"""
import requests,os,sys,time,random
class Discord():
def TypeExploit(token,channelid):
url = f"https://canary.discord.com/api/v9/channels/{channelid}/typing"
headers = {
'authority': 'canary.discord.com',
'content-length': '0',
... | lnfernal/Discord-Hearbeat-Exploit | main.py | main.py | py | 1,350 | python | en | code | 0 | github-code | 36 |
14326782104 | __author__ = 'Xing'
# Given a linked list, remove the nth node from the end of list and return its head.
#
# For example,
#
# Given linked list: 1->2->3->4->5, and n = 2.
#
# After removing the second node from the end, the linked list becomes 1->2->3->5.
class ListNode(object):
def __init__(self, x):
... | jinxin0924/Algorithms-Design-and-Analysis | Remove Nth Node From End of List.py | Remove Nth Node From End of List.py | py | 818 | python | en | code | 1 | github-code | 36 |
6519049093 | from tkinter import*
import tkinter as tk
import cv2
import numpy as np
import webbrowser
#GRAY ONLY
def obj():
thres = 0.45
nms_threshold = 0.2
cap = cv2.VideoCapture(0)
className = []
classFile = 'coco.names'
with open(classFile, 'rt') as f:
className = f.read().rstrip('\n').split(... | jahin44/Python | pythonopencv/pro_gui.py | pro_gui.py | py | 6,916 | python | en | code | 1 | github-code | 36 |
72975128425 | from django import forms
from crispy_forms.layout import Submit
from core.forms.base_crispy_form import BaseCrispyForm
from core.models.round import Round
class WinnerForm(BaseCrispyForm, forms.ModelForm):
SUBMIT_BUTTON_VALUE = "Declare Winner"
SUBMIT_BUTTON_CSS_CLASSES = "btn-no-bg btn-outline-info"
c... | lekjos/dailygroove | src/core/forms/winner_form.py | winner_form.py | py | 1,864 | python | en | code | 2 | github-code | 36 |
73243352745 | import streamlit as st
import pytube as pt
import os
import subprocess
import re
from utils import logtime, load_ffmpeg
import whisper
from langchain.document_loaders import YoutubeLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
URL = 'URL'
TEXT = 'TEXT'
WHISPER = 'WHISPER'
PROCESSING = 'PROC... | olanigan/Youtube_Assistant | app.py | app.py | py | 4,825 | python | en | code | 0 | github-code | 36 |
5099132593 | from html import escape
import constants
import re
def attack_found(data_dict):
"""
This function uses the attack detecting functions below to check for possible cases of an attack.
Input: data_dict - a dictionary containing the data from the user request.
Output: True if a possible attack is detected ... | BarakNK/Lightning-Shield-WAF | defense_manager.py | defense_manager.py | py | 3,663 | python | en | code | 0 | github-code | 36 |
6788861571 | import codecs
from django.conf import settings
from django.views.generic.edit import CreateView
from django.contrib.auth.mixins import PermissionRequiredMixin
from django.urls import reverse
from django.http.response import HttpResponseRedirect
from django.contrib import messages
from achievement.models import Achiev... | tomasgarzon/exo-services | service-exo-core/consultant/views/network/bulk.py | bulk.py | py | 3,853 | python | en | code | 0 | github-code | 36 |
70734503465 | def obtener_palabras_mayores(parrafo: str, largo: int) -> list:
palabras = parrafo.split(" ")
palabras_mayores = []
for palabra in palabras:
palabra_limpia = limpiar_palabra(palabra).upper()
if len(palabra_limpia) == largo: palabras_mayores.append(palabra_limpia)
return palabras_m... | gcc-cdimatteo/Algoritmos-y-Programacion-I-75.40 | Parciales/2023C1P0-20230427-parrafo_loco.py | 2023C1P0-20230427-parrafo_loco.py | py | 2,259 | python | es | code | 9 | github-code | 36 |
8478439649 | #Python imports
import json
from uuid import UUID
from datetime import date
from datetime import datetime
from typing import Optional, List
#Pydantic imports
from pydantic import Field as FD
from pydantic import BaseModel as BMW
from pydantic import EmailStr
#FastAPI imports
from fastapi import FastAPI... | davidcordellatt/Twitter-Api-Fastapi-practice- | main.py | main.py | py | 13,686 | python | en | code | 0 | github-code | 36 |
13991546388 | class BigBurger:
def maxWait(self, arrival, service):
start = 0
maxW = 0
for i in xrange(len(arrival)):
a, s = arrival[i], service[i]
if a < start:
wait = start - a
else:
wait = 0
maxW = max(maxW, wait)
... | dariomx/topcoder-srm | old-stuff/topcoder-srm/149/250.py | 250.py | py | 412 | python | en | code | 0 | github-code | 36 |
42154062828 | # 걷기
import sys
input = sys.stdin.readline
if __name__ == "__main__":
# x,y,w,s
# x,y = 도착점 좌표
# w: x 나 y 를 한칸 이동할때 걸리는시간
# s: 대각이동 할때(x,y) 걸리는 시간
x, y, w, s = map(int, input().split())
gap = abs(x-y) # 큰수에서 작은수를 뺀값
diagnol = min(x, y) # 대각 이동 가능한수
move1 = (x+y)*w # 평행이동만 하는경우
... | FeelingXD/algorithm | beakjoon/1459.py | 1459.py | py | 615 | python | ko | code | 2 | github-code | 36 |
70115961064 | import random
import db_wrap
from config import *
class Racing:
def __init__(self, tracks_cnt=TRACKS_NUM, race_len=RACE_LEN):
self._tracks_cnt = tracks_cnt
self._race_len = race_len
self._race_width = race_len
self._race_id = None
self._finished = None
self._starte... | AnTi3z/HorsesBot | racing.py | racing.py | py | 3,723 | python | en | code | 0 | github-code | 36 |
26162010139 | import re
pattern = re.compile(r'palScreen(\[\S+\]) = olc::Pixel\(([0-9]{1,3}), ([0-9]{1,3}), ([0-9]{1,3})\);')
inFile = open("palette_data.txt")
lines = inFile.readlines()
inFile.close()
for line in lines:
matches = pattern.findall(line)
with open("palette_out.txt", "a") as outFile:
for match in mat... | Skadic/nest | scripts/palette_conversion.py | palette_conversion.py | py | 479 | python | en | code | 0 | github-code | 36 |
21600216675 | # -*- coding: utf-8 -*-
"""
ReferIt, UNC, UNC+ and GRef referring image segmentation PyTorch dataset.
Define and group batches of images, segmentations and queries.
Based on:
https://github.com/chenxi116/TF-phrasecut-public/blob/master/build_batches.py
"""
import os
import re
# import cv2
import sys
import json
impo... | djiajunustc/TransVG | datasets/data_loader.py | data_loader.py | py | 9,900 | python | en | code | 134 | github-code | 36 |
35675499105 | """
*Position*
The inder of a character in the text.
More precisely, a position identifies the place between two characters.
"""
__all__ = ["Position"]
class Position(
int,
):
def __init__(
self,
position: int,
):
super(BufferPosition, self).__new__(
int,
... | jedhsu/text | text/_elisp/position/_position.py | _position.py | py | 352 | python | en | code | 0 | github-code | 36 |
27898714417 | from datetime import datetime
def foo(n):
n = int(n)
global start_time
start_time = datetime.now()
list = []
i = 0
while len(list) < n:
flag = True
if i == 0 or i == 1:
i += 1
continue
for j in range(i+1):
if j == 0 or j == 1 or j == ... | stgolovin/js_hw | lesson2/task1.py | task1.py | py | 556 | python | en | code | 0 | github-code | 36 |
13257862183 | def checkio(f, g):
def call(function, *args, **kwargs):
try: return function(*args, **kwargs)
except Exception: return None
def h(*args, **kwargs):
value_f, value_g = call(f, *args, **kwargs), call(g, *args, **kwargs)
status = ""
if (value_f is None and value_g... | Amaimersion/CheckiO-solutions | solutions/Dropbox/Compare Functions/1.py | 1.py | py | 2,586 | python | en | code | 0 | github-code | 36 |
31071015439 | from core_algo.SGA import SGA
import alarm
import sys
import json
import time
from tabulate import tabulate
def average_res(ga, cal_times=100, **params):
cost_sum = 0
runtime_sum = 0
gen_sum = 0
speed_sum = 0
for _ in range(cal_times):
# solve the question
res, runtime, last_gen =... | UTP-project/core-algo | exp_compare.py | exp_compare.py | py | 7,044 | python | en | code | 0 | github-code | 36 |
10514105287 | import allure
from selenium.webdriver.common.by import By
from extensions import ui_actions
from utilities.Base import Base
@allure.step("Business Flow: Login")
def login(email, password):
ui_actions.update_text(Base.LOGIN_PAGE.textbox_user_email, email)
ui_actions.update_text(Base.LOGIN_PAGE.textbox_passwor... | liorc955/Python-automation | workflows/web_flows.py | web_flows.py | py | 3,153 | python | en | code | 0 | github-code | 36 |
70230219944 | # Your task this week: given a 3 by 3 list of lists that represents a Tic Tac Toe game board, tell me whether anyone
# has won, and tell me which player won, if any. A Tic Tac Toe win is 3 in a row - either in a row, a column,
# or a diagonal. Don’t worry about the case where TWO people have won - assume that in every ... | izdomi/python | exercise26.py | exercise26.py | py | 4,029 | python | en | code | 0 | github-code | 36 |
16675308280 | import sqlite3
import Login
import CurrentBalance
def deposit_on_account_balance(conn, usr, deposit):
"""
Check for the existence of a specified user in the database
:param conn: the Connection object
:param id_pub: user
:param deposit: amount to deposit
:return: True if transaction preceeded
... | EmanuP/AccountManager | Deposit.py | Deposit.py | py | 767 | python | en | code | 0 | github-code | 36 |
6660104628 | import pprint
import subprocess
import univention.management.console as umc
import univention.management.console.modules as umcm
import univention.config_registry
import univention.admin.uldap
from fnmatch import *
import re
from univention.management.console.log import MODULE
from univention.management.console.proto... | m-narayan/smart | ucs/services/univention-printserver/umc/python/printers/__init__.py | __init__.py | py | 15,824 | python | en | code | 9 | github-code | 36 |
29746225249 | import emp
import pickle
f=open("emp1.dat","wb")
n=int(input("enter no of employees: "))
for i in range(n):
eno=int(input("enter empno: "))
ename=input("enter empno: ")
e=emp.Employee(eno,ename)
pickle.dump(e,f)
print(e)
f.close() | gurram1223/PythonExamples | PythonEx/Examples/pickleExamples/dump.py | dump.py | py | 254 | python | en | code | 0 | github-code | 36 |
4585824107 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 30 20:16:19 2020
@author: Antonio Hickey
"""
#-------------------------------------------------------------------
# Importing Modules
from bs4 import BeautifulSoup as soup
from urllib.request import urlopen as uReq
import pandas as pd
import csv
#--... | antonio-hickey/Economics | Yeild Curve/Data Collection/Web_Crawler_Bot.py | Web_Crawler_Bot.py | py | 1,268 | python | en | code | 2 | github-code | 36 |
5450602551 | from enum import Enum
import numpy as np
import pandas as pd
from dataclasses import dataclass
from copy import deepcopy
from typing import List, Union
class Direction(Enum):
UP = 'U'
DOWN = 'D'
LEFT = 'L'
RIGHT = 'R'
@dataclass
class Motion:
direction: Union[Direction, str]
steps: int
... | wbonna352/adventofcode2022 | day_09/main.py | main.py | py | 3,827 | python | en | code | 0 | github-code | 36 |
44255351041 | #https://codeforces.com/problemset/problem/1517/B
#Morning Jogging
trials = int(input())
while trials > 0 :
trials -= 1
n,m = input().split(" ")
n,m = int(n),int(m)
x = 0
r = 0
while r != n :
r += 1
b = list(input().split(" "))
globals()["i"+f"{x+1}"] = list(map(int , b))... | Ghanashyam-Bhat/CompetitiveProgramming | Non_contest/MorningJog.py | MorningJog.py | py | 908 | python | en | code | 1 | github-code | 36 |
5023782942 | # -*- coding: utf-8 -*-
import os
import shutil
import torch
# from torch.utils.data import *
from torch.utils import data
from imutils import paths
import numpy as np
import random
from PIL import Image
from torchvision.transforms import transforms
import cv2
def cv_imread(path):
img = cv2.imdecode(... | stlyl/crack_detection | crack_detection_python/crack_dataset.py | crack_dataset.py | py | 2,601 | python | en | code | 2 | github-code | 36 |
7927334038 | from PyQt5.QtWidgets import (QWidget, QCalendarWidget,QLabel, QApplication, QVBoxLayout,QPushButton)
from PyQt5.QtCore import QDate
import sys
global ap
class Example(QWidget):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
vbox = QVBoxLayout(self)
... | fernandezjared1/Vodafone-Idea---PS1 | cal.py | cal.py | py | 1,361 | python | en | code | 0 | github-code | 36 |
27878022936 | # First things, first. Import the wxPython package.
from concurrent.futures import thread
from tracemalloc import start
from turtle import pos
from numpy import size, true_divide
import wx
from wx.adv import *
from Utilities.media_utils import batchDownload, download, spotifyToSearches, ytFromLink
import misc
from spot... | missing-atabey/PyraTunes | main.py | main.py | py | 3,400 | python | en | code | 0 | github-code | 36 |
23306080113 | import streamlit as st
import plotting
def stats_view(dfmedicine, dfuniques, visualization_mode):
st.markdown("## Conteos generales del hospital respecto a los pacientes ingresados por trauma")
metric_values = zip(dfuniques.iloc[:, 0].values, dfuniques.iloc[:, 1].values)
metric_columns = st.colum... | SimonPGM/ds4adashboard | Dashboard/generalstatsvis.py | generalstatsvis.py | py | 937 | python | es | code | 0 | github-code | 36 |
15827613862 | from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
from builtins import *
import logging
import pymongo
import emission.storage.timeseries.timequery a... | e-mission/e-mission-server | emission/storage/decorations/analysis_timeseries_queries.py | analysis_timeseries_queries.py | py | 4,240 | python | en | code | 22 | github-code | 36 |
15335677363 | #!/usr/bin/env python
#
# Add `#pragma once` to headers
import sys
def _main():
for filename in sys.argv[1:]:
with open(filename, 'rb') as f:
data = f.read()
if not data.startswith('#pragma once\n'):
with open(filename, 'wb') as f:
f.write('#pragma once\n\n... | STYTZ/catboost | catboost/jvm-packages/catboost4j-prediction/src/native/fix_jni_headers.py | fix_jni_headers.py | py | 394 | python | en | code | null | github-code | 36 |
32829594866 | # 내 풀이
from bisect import bisect_left, bisect_right
def count_x(array, x):
left_idx = bisect_left(array, x) # 정렬된 배열에 x를 삽입할 가장 왼쪽 인덱스 찾기
right_idx = bisect_right(array, x) # 정렬된 배열에 x를 삽입할 가장 왼쪽 인덱스 찾기
return right_idx - left_idx # x의 개수
n, x = map(int, input().split())
numbers = list(map(int, input... | veluminous/CodingTest | [이것이 코딩테스트다] 실전 문제/[이진탐색] 정렬된 배열에서 특정 수의 개수 구하기.py | [이진탐색] 정렬된 배열에서 특정 수의 개수 구하기.py | py | 543 | python | ko | code | 0 | github-code | 36 |
8435375603 | from aiogram import types, Dispatcher
from config import bot, dp, ADMINS
import random
async def game(message: types.Message):
if message.text.startswith('game') and message.from_user.id in ADMINS:
list_emoji = ['⚽', '🏀', '🎰', '🎳', '🎯', '🎲']
emoji_random = random.choice(list_emoji)
awa... | kasi170703/bots | handlers/admin.py | admin.py | py | 577 | python | en | code | 0 | github-code | 36 |
8567322626 | # coding: utf-8
#from PyInstaller.utils.hooks import copy_metadata, collect_data_files
#datas = copy_metadata('google-api-python-client')
#datas += collect_data_files('googleapiclient.discovery')
#datas += collect_data_files('PyInstaller.utils.hooks')
import os, sys, re
import pandas as PD
from datetime impo... | jameswhc/QUA | QUA_Classify.py | QUA_Classify.py | py | 19,830 | python | en | code | 0 | github-code | 36 |
23414624364 | # -*- coding: utf-8 -*-
from hotkeynet import api
class TestScript:
def test_render(self):
with api.Script() as script:
api.Label(name="w1", window="WoW1")
api.Label(name="w2", window="WoW2")
with api.Command(
name="LaunchAndRenameGameClient",
... | MacHu-GWU/hotkeynet-project | tests/test_script_script.py | test_script_script.py | py | 954 | python | en | code | 4 | github-code | 36 |
13460739357 | import torch, torchvision
import os
class CNN(torch.nn.Module):
def __init__(self, network_type, dataset_name):
super(CNN, self).__init__()
self.network_type = network_type
if dataset_name == 'dogscats':
classes = 2
elif dataset_name == 'imagenet':
class... | burklight/Adversarial-Attacks-Pytorch | src/networks.py | networks.py | py | 943 | python | en | code | 0 | github-code | 36 |
8247729107 | import cdd
from numpy import array, hstack, vstack
def cdd_solve_lp(c, G, h, A=None, b=None):
"""
Solve a linear program defined by:
minimize
c.T * x
subject to
G * x <= h
A * x == b
using the LP solver from `cdd <https://github.com/mcmtroffaes/pycdd... | furiiibond/Tinder | venv/Lib/site-packages/lpsolvers/cdd_.py | cdd_.py | py | 1,497 | python | en | code | 0 | github-code | 36 |
16964477743 | from bs4 import BeautifulSoup
import re
import requests
ENROLLMENT_BOUNDS = {
0: [0, 5000],
1: [5000, 15000],
2: [15000, 30000],
3: [30000, 10000000],
}
def get_college_basic(uni_id_list):
where_str = ''
order_by_str = 'ORDER BY (CASE'
counter = 1
for id in uni_id_list:
id_str... | michaelpri10/collegecalculator | query_schools.py | query_schools.py | py | 10,807 | python | en | code | 0 | github-code | 36 |
28798137601 | def squares(list):
for i in range(len(list)):
list[i] = int(list[i]) ** 2
print(list)
def main():
input_list = input("Enter values separated by a space: ")
list = input_list.split()
print(list)
squares(list)
print("the new list is: ", list)
main()
| Eric-Wonbin-Sang/CS110Manager | 2020F_hw5_submissions/kohlimeher/hw chap 6.py | hw chap 6.py | py | 285 | python | en | code | 0 | github-code | 36 |
3909141090 | #Osiris Team binary decoding program
#Written originally by Dustin Smith
#input grab
binaryString = input("Input binary string: ")
#checks if the message is encoded in ASCII 7 or binary 8 via modulus
if(len(binaryString)%8==0):
ASCIISize = 8
elif(len(binaryString)%7==0):
ASCIISize = 7
#indexes the string based... | cyberstormosiris/Cyberstorm_Code | binary.py | binary.py | py | 665 | python | en | code | 0 | github-code | 36 |
5318351393 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import scipy
from scipy.misc import derivative
def fn_plot1d(fn, x_min, x_max, filename):
num_values = 1000
x = np.linspace(x_min, x_max, num_values)
fnv = np.vectorize(fn)
y = fnv(x)
Xlabel = "X axis"
Yl... | CS251-Fall-2020/outlab4-190050013-190070020 | task4/task4.py | task4.py | py | 2,230 | python | en | code | 0 | github-code | 36 |
17849902067 | from scripts.src.common.config import Color, Keywords, Direct, DataType
from common_and_plotting_functions.functions import check_and_mkdir_of_direct
from scripts.src.common.plotting_functions import multi_row_col_bar_plot
from scripts.data.common_functions import common_data_loader
from scripts.model.model_loader im... | LocasaleLab/Automated-MFA-2023 | scripts/src/experimental_data_analysis/specific_data_model_combination/renal_carcinoma_invivo_infusion.py | renal_carcinoma_invivo_infusion.py | py | 21,216 | python | en | code | 0 | github-code | 36 |
27145275012 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/7/3 16:46
# @Author : wenlei
'''
找二叉树节点的后续节点
'''
class Node():
def __init__(self, x):
self.value = x
self.left = None
self.right = None
self.parent = None
def getSuccessorNode(node):
if not node:
return ... | sherryxiata/zcyNowcoder | basic_class_04/SuccessorNode.py | SuccessorNode.py | py | 3,649 | python | en | code | 0 | github-code | 36 |
19686841128 | from argparse import ArgumentParser
import tabulate
argparser = ArgumentParser()
argparser.add_argument('--device', type=int, required=True, help='id of device to run training on.')
argparser.add_argument('--seed', type=int, required=True, help='random seed to use for training.')
argparser.add_argument('--dir', type=s... | ChaseDuncan/2dunet | train.py | train.py | py | 9,434 | python | en | code | 0 | github-code | 36 |
6797208641 | # app imports
import random
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
from utils.faker_factory import faker
from ..mails import BaseMailView
class InvitationConsultantProjectMailView(BaseMailView):
template_name = 'mails/invitation_consultant_project.html'
man... | tomasgarzon/exo-services | service-exo-mail/mail/mailviews/invitation_consultant_project.py | invitation_consultant_project.py | py | 1,281 | python | en | code | 0 | github-code | 36 |
13097992788 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: lishuang
@description: 利用 LSTM 预测股票价格
"""
import os
from itertools import chain
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from tensorflow.keras.layers import Dense, Dropout, LSTM
from tensorflow.keras.models import load_model, Se... | TatenLee/machine-learning | bi/core/l8/stock_lstm.py | stock_lstm.py | py | 4,659 | python | en | code | 1 | github-code | 36 |
4635120984 | #coding=utf-8
from confluent_kafka import Producer
import MySQLdb
import json
import time
import random
p = Producer({"bootstrap.servers": "118.24.53.99:9092"})
db = MySQLdb.connect("localhost", "root", "123456", "test_kafka", charset='utf8' )
cursor = db.cursor()
sql = "SELECT msg_body FROM order_kafka_msg;"
def ... | liu-xiaoran/demo | java/kafka/pd2.py | pd2.py | py | 1,018 | python | en | code | 0 | github-code | 36 |
31428868731 | # 2021.09.12
# 2484
# 주사위 네개
def reward(ls):
ls.sort()
set_ls = set(ls)
len_set = len(set_ls)
if len_set == 1: # 4개가 같을 때
result.append(50000 + ls[0] * 5000)
return
elif len_set == 2:
if ls[1] != ls[2]: # 2개, 2개씩 같을 때
result.append(2000+(ls[1]+ls[2])*500)
... | Minkeyyyy/OJ | BaekJoon/All/2484.py | 2484.py | py | 812 | python | ko | code | 0 | github-code | 36 |
1576881503 | from setuptools import setup, find_packages
with open('readme.md', encoding='utf-8') as f:
long_description = f.read()
setup(
packages = find_packages(),
name = 'pbat',
version = '0.0.16',
author = "Stanislav Doronin",
author_email = "mugisbrows@gmail.com",
url = 'https://github.com/mugise... | mugiseyebrows/pbat | setup.py | setup.py | py | 705 | python | en | code | 0 | github-code | 36 |
34603286556 | import input_data
import tensorflow as tf
import input_data
# 数据集导入
mnist = input_data.read_data_sets("C:\\USers\\hyq\\PycharmProjects\\DataAnalysis", one_hot=True)
# 实现回归模型
x = tf.placeholder("float", [None, 784])
W = tf.Variable(tf.zeros([784,10]))
b = tf.Variable(tf.zeros([10]))
# 建立模型
y = tf.nn.softmax(... | cloud0606/AI | BP神经网络/read.py | read.py | py | 1,067 | python | en | code | 0 | github-code | 36 |
42493495025 | from __future__ import absolute_import, print_function, division
import os
from string import Template
import numpy as np
import theano
from theano import Apply
from theano.tensor import as_tensor_variable
from theano.tensor.sort import TopKOp
from .basic_ops import (GpuKernelBase, Kernel, infer_context_name,
... | Theano/Theano | theano/gpuarray/sort.py | sort.py | py | 12,720 | python | en | code | 9,807 | github-code | 36 |
43844905296 | import argparse
from dataclasses import dataclass
from decimal import *
import re
import sys
from typing import Dict, List
int_re = re.compile('[-+]?[0-9]+')
float_re = re.compile('[-+]?[0-9]+(\.[0-9]+)?')
def extract_int(l: str) -> (int, str):
m = int_re.match(l)
assert m
s = m.group()
return int(... | brouhaha/gridcheck | gridcheck.py | gridcheck.py | py | 4,133 | python | en | code | 0 | github-code | 36 |
17096720993 | # #############################################################################
# 本題參數設定，請勿更改
seed = 0 # 亂數種子數
# #############################################################################
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
evaluation = pd.DataFrame({'Model... | neochen2701/TQCPans | 機器學習Python 3答案檔/MLA305.py | MLA305.py | py | 5,623 | python | en | code | 4 | github-code | 36 |
41473256040 | from PyQt5.QtWidgets import QLabel, QApplication, QDialog, QGridLayout, QHBoxLayout, QPushButton, QFormLayout, \
QWidget, \
QLineEdit
import sys
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QIcon
class calculator_frame(QDialog):
def __init__(self):
super().__init__()
self.shower = Q... | siuwhat/calculator | calculator_frame.py | calculator_frame.py | py | 5,213 | python | en | code | 0 | github-code | 36 |
2014305094 | import speech_recognition as sr
import pyttsx3
def SpeakText(command):
engine = pyttsx3.init()
engine.say(command)
engine.runAndWait()
def CollectText(x, gram):
recognizer = sr.Recognizer()
microphone = sr.Microphone()
with microphone as source:
recognizer.adjust_for_ambient_noise(sour... | Dorito-Dog/Python_Ktane_Bot | solvers/solverSpeech.py | solverSpeech.py | py | 488 | python | en | code | 0 | github-code | 36 |
34222275021 | from django.shortcuts import render, redirect
from django.contrib.auth.forms import UserCreationForm, AuthenticationForm
from django.contrib.auth import login as auth_login, logout as auth_logout
from django.views.decorators.http import require_http_methods
from .forms import CustomUserCreationForm
@require_http_metho... | kimhyunso/exampleCode | django/ONE_TO_MANY/accounts/views.py | views.py | py | 1,375 | python | en | code | 0 | github-code | 36 |
18647131917 | from django.http import HttpResponse
from django.template import RequestContext
from taikoexplorer_db.models import Video, Composer, Song, Group, SongStyle, ComposerSong, VideoSong, VideoGroup
from django.core import serializers
from django.forms.models import model_to_dict
from django.db.models import Count
import yo... | mitchfuku/taikoexplorer | taikoexplorer/data.py | data.py | py | 12,403 | python | en | code | 1 | github-code | 36 |
10663470223 | log_file_name = 'log.txt'
warnings_count = 0
info_count = 0
error_count = 0
try:
with open(log_file_name,'r') as log_file:
for line in log_file:
print(line)
if(line.find('INFO:') > -1):
info_count+= 1
elif(line.find('ERROR:') > -1):
error... | santosh-potu/python-test | devops_bootcamp_excercise/test_log_file.py | test_log_file.py | py | 611 | python | en | code | 0 | github-code | 36 |
72488882665 | from rest_framework import viewsets, views
from ..models import *
from .serializers import *
from rest_framework.permissions import *
from rest_framework.response import Response
from rest_framework.exceptions import NotFound, ValidationError
from rest_framework import mixins
from .custom_mixins import CreateListModelM... | artgas1/dlab_django | lab/lab_web/views/api.py | api.py | py | 18,206 | python | en | code | 1 | github-code | 36 |
16908305317 | # import package
import os, random, tweepy, time, schedule
def job():
folder=r"F:\mat\twitterbot\pics" # Set your folder here, twitter allows .jpg, .jpeg, .png, .gif and mp4 videos to be uploaded as media.
# Current limitations as of 18/07/2... | mdsmendes94/twitterdailybot | ttbot.pyw | ttbot.pyw | pyw | 1,988 | python | en | code | 1 | github-code | 36 |
12303872667 | from albumentations.augmentations.transforms import Normalize
import torch
import torchvision
import albumentations
import albumentations.pytorch
from adamp import AdamP
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
from torchsummary import summary as summary_
from dataset import C... | taeyang916/kaggle_fruits | train.py | train.py | py | 2,350 | python | en | code | 1 | github-code | 36 |
74298282342 | #!/usr/bin/env python
#encoding=utf8
BLACK = 'B'
WHITE = 'W'
NONE = "N"
class Point:
def __init__(self, x, y, color):
self.x = x
self.y = y
self.color = color
@property
def neighbours(self):
return [
(self.x - 1, self.y), (self.x + 1, self.y),
(sel... | xiaket/exercism | python/go-counting/go_counting.py | go_counting.py | py | 3,755 | python | en | code | 0 | github-code | 36 |
2364287539 | from PyQt5 import QtWidgets, uic,QtSql,QtCore
from rajon_1 import Ui_Dialog
import sqlite3 as sql
from vypocet import vypocty
from data import Databaze
from PyQt5.QtWidgets import QFileDialog
from cesta import path
import math
class Rajon(QtWidgets.QDialog,Ui_Dialog):
def __init__(self,cesta_projektu):
su... | ctu-yobp/2020-a | app/rajon_2.py | rajon_2.py | py | 4,041 | python | en | code | 0 | github-code | 36 |
10337668124 | hrs = input("Enter Hours:")
rate = input("Enter Rate:")
try:
h = float(hrs)
r = float(rate)
except:
print("Error, please enter numeric input")
quit()
def computepay(hours, rates):
otrate = rates * 1.5
if hours <= 40:
grosspay = hours * rates
else:
grosspay = (40 * rates) + (... | maxoconnor1/Python-for-Everybody | PFE_4.6.py | PFE_4.6.py | py | 405 | python | en | code | 0 | github-code | 36 |
20515420312 | import os
import PyPDF2
import openai
from flask import Flask, redirect, render_template, request, url_for
app = Flask(__name__)
# Set your API key directly
os.environ["OPENAI_API_KEY"] = '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'
openai.api_key = os.getenv("OPENAI_API_KEY")
@app.route("/", methods=["GET"... | OUABSL/Congreso | app.py | app.py | py | 1,642 | python | es | code | 0 | github-code | 36 |
17778652132 | from PyQt4.QtGui import *
from PyQt4.QtCore import *
import matplotlib.pyplot as plt
import matplotlib.backends.backend_qt4agg
import ReportDBOps as db
class ReportLogs(QWidget):
def __init__(self):
super(ReportLogs, self).__init__()
# Main Layout
self.mainGridLayout = QGridLayout()
... | subhamoykarmakar224/WindowsThreatAttackAnalyzer | ReportLogs.py | ReportLogs.py | py | 2,477 | python | en | code | 0 | github-code | 36 |
27705026419 | # Knowledge Technologies Project 1
# Mitchell Brunton #537642
# mmbrunton@gmail.com
#
# Configurable settings
# file containing twitter user ids and their locations
USER_FILE = 'data/training_set_users.txt'
# do we only want substrings in our trie which start with a new word
NEW_WORD_SUBSTRINGS = True
# how much edi... | mbrunton/twitter_locations | configurations.py | configurations.py | py | 444 | python | en | code | 0 | github-code | 36 |
33390403216 | from django.shortcuts import redirect, render
from animalprofile.models import Animal, Kind
from userprofile.models import UserAccount
from .forms import SearchAnimalsForm
def index(request):
if request.method == 'POST':
form = SearchAnimalsForm(request.POST)
if form.is_valid():
try: ... | manulovich/zoo-friend | zoofriends/animalprofiles/views.py | views.py | py | 1,839 | python | en | code | 0 | github-code | 36 |
7114744218 | import numpy as np
import pandas as pd
from sklearn.preprocessing import Imputer
import keras
from keras.utils import np_utils
# Veri dosya üzerinden okunur.
data = pd.read_csv('spambase.data')
# PART 1 - DATAPREPROCESSING
# Okunan veri girdi ve çıktı olarak ayrıştırılır.
input_datas = np.array(data.iloc[:,:57])
out... | zekikus/Yapay-Sinir-Agi-Uygulamalari | SpamBase_ANN/SpamBase_ANN.py | SpamBase_ANN.py | py | 3,448 | python | tr | code | 8 | github-code | 36 |
20371505372 | import tensorflow as tf
gpus = tf.config.list_physical_devices('GPU')
if gpus:
tf.config.set_logical_device_configuration(gpus[0], [tf.config.LogicalDeviceConfiguration(memory_limit=5292)])
import keras
import matplotlib.pyplot as plt
import numpy as np
from keras import layers, optimizers, losses, metrics, Model... | Logann120/Logann120.github.io | img_gen/python_code/img_gen.py | img_gen.py | py | 7,935 | python | en | code | 0 | github-code | 36 |
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