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
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19815836754 | # -*- coding: utf-8 -*-
from django.conf import settings
from django.utils.encoding import force_text
from django.utils.timezone import get_current_timezone_name
from cms.cache import _get_cache_version, _set_cache_version, _clean_key, _get_cache_key
from cms.utils import get_cms_setting
def _placeholder_cache_key(pl... | farhan711/DjangoCMS | cms/cache/placeholder.py | placeholder.py | py | 2,388 | python | en | code | 7 | github-code | 1 |
21844217883 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def reverse_nodes(self, head, count):
prev, curr = None, head
while curr and count > 0:
next_ = curr.next
... | uditmanav17/leetcode | 25-reverse-nodes-in-k-group/25-reverse-nodes-in-k-group.py | 25-reverse-nodes-in-k-group.py | py | 1,081 | python | en | code | 0 | github-code | 1 |
19471220856 | """
@file
@brief Data aggregation for timeseries.
"""
import datetime
import pandas
from pandas.tseries.frequencies import to_offset
def _get_column_name(df, name='agg'):
"""
Returns a unique column name not in the existing dataframe.
@param df dataframe
@param name prefix
@retu... | sdpython/mlinsights | mlinsights/timeseries/agg.py | agg.py | py | 3,224 | python | en | code | 65 | github-code | 1 |
21141530709 | """
Player for solitaire.
Created on 19.10.2018
@author: Ruslan Dolovanyuk
"""
import enum
import checker
from constants import Colors
import pygame
Actions = enum.Enum('Actions', 'ChangeZoneUp ChangeZoneDown ChangeRowUp ChangeRowDown ChangeCardUp ChangeCardDown Take Drop')
class Player:
"""Player class ... | DollaR84/solitaire | player.py | player.py | py | 10,168 | python | en | code | 0 | github-code | 1 |
761243358 | import allure
import pytest
from pages.cart_page import CartPage
from pages.home_page import HomePage
from pages.login_page import LoginPage
from utils.locators import LoginPageLocators, CartPageLocators, HomePageLocators
from utils.logger import _step
@pytest.mark.usefixtures('setup', 'website_setup')
cl... | BoxingP/selenium-auto-test | lambda/test_website/tests/test_scenarios_with_login.py | test_scenarios_with_login.py | py | 4,013 | python | en | code | 0 | github-code | 1 |
14934683882 | """
- BERT_base (L=12, H=768, A=12, #Para=110M) and BERT_large (L=24, H=1024, A=16, #Para=340M)
- FNet hyper L=2, H=128, A=2; L=2, H=256, A=4; L=4 , H=256, A=4; L=4 , H=512, A= 8;
L=8, H=256, A=4; L=8, H=512, A=8; L=12, H=512, A=8; L=12, H=768, A=12;
- batch size: 16, 32; Learning rate (Adam): 5e-5... | lxr-tech/FEPE-deepspeed | ver/v0_0/pretrain_en_config.py | pretrain_en_config.py | py | 823 | python | en | code | 0 | github-code | 1 |
640941004 | import json
import pytz
import datetime
def lambda_handler(event, context):
tempvar2=[]
timezones = pytz.common_timezones
#timezones = pytz.all_timezones
for timezone in timezones:
tempvar = timezone[0:2]
if tempvar == 'US':
tempvar2.append(timezone)
return {
'st... | yogeshturerao/deploymentsapis | timezone/timezone.py | timezone.py | py | 382 | python | fa | code | 0 | github-code | 1 |
38776541163 |
def load_and_display(file_index,mode='both'):
filename = get_image_filename(file_index)
import pickle
import numpy as np
image = pickle.load( open( filename, "rb" ) )
if mode == 'both':
display_image(image)
else:
# Reconstruct the original rgb and depth images from the merged v... | andrew-houghton/self-driving-donkey-car | Utility code/utilities.py | utilities.py | py | 4,122 | python | en | code | 7 | github-code | 1 |
24965986916 | import io
import pandas as pd
import requests
from mage_ai.data_preparation.shared.secrets import get_secret_value
if 'data_loader' not in globals():
from mage_ai.data_preparation.decorators import data_loader
if 'test' not in globals():
from mage_ai.data_preparation.decorators import test
@data_loader
def lo... | WillowyBoat2388/football-analytics | data_loaders/teams_id.py | teams_id.py | py | 1,368 | python | en | code | 0 | github-code | 1 |
26725677323 | from typing import List
import random
from . import aiplayer, game_config, move, randomai, ship, player
class SearchDestroyAi(aiplayer.AIPlayer):
def __init__(self, player_num: int, config: game_config.GameConfig, other_players: List["Player"], type):
super().__init__(player_num, config, other_players, ty... | ChoBro1/BattleShip | BattleShip/src/searchdestroyai.py | searchdestroyai.py | py | 5,246 | python | en | code | 0 | github-code | 1 |
22385044991 | ######################################################################
# Author: IK3D -- Issanou Kamardine
# License: GPL v3
######################################################################
bl_info = {
"na... | IIK3D/Blender-Scriptes-management | Scripts_Management.py | Scripts_Management.py | py | 15,086 | python | en | code | 6 | github-code | 1 |
7117030015 | class Solution:
def longestConsecutive(self, nums: List[int]) -> int:
numsSet = set(nums)
longest = 0
for n in numsSet:
if (n-1) not in numsSet:
length = 0
while (n+length) in numsSet:
length+=1
longest = max(len... | Theeyecode/python_alg | LeeC/easy/longest_consecutive_sequence.py | longest_consecutive_sequence.py | py | 708 | python | en | code | 0 | github-code | 1 |
26645526251 | import htmlPy
import os
from Handler import backend
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
app = htmlPy.AppGUI(title=u"Sample application", developer_mode=True)
app.maximized = False
app.static_path = os.path.join(BASE_DIR, "UI/static/")
app.template_path = os.path.join(BASE_DIR, "UI/template/")
app.... | SufferProgrammer/desktop-porto | main.py | main.py | py | 422 | python | en | code | 0 | github-code | 1 |
7214790078 | import sys
sys.stdin = open('불_input.txt')
from collections import deque
dx = [-1,1,0,0]
dy = [0,0,-1,1]
def bfs() :
while q2 :
x,y = q2.popleft()
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if 0 <= nx < h and 0 <= ny < w and fire[nx][ny] == 0 :
... | HyunSeok0328/Algo | 불.py | 불.py | py | 1,398 | python | en | code | 0 | github-code | 1 |
24657826075 | from enum import IntEnum
from .graph import Edge, Graph, Node
from .heap import EdgeHeap
class Color(IntEnum):
WHITE = 0
GRAY = 1
BLACK = 2
class KruskalsAlgorithm:
# get all the edges of a graph
# sort them
# check if they do not make a cycle
#
def __init__(self, G: Graph, s: int, t:... | Hemal-Mamtora/CSCE629_algo_project | src/kruskals.py | kruskals.py | py | 3,570 | python | en | code | 0 | github-code | 1 |
12888400882 | import asyncio
import websockets
import soundfile as sf
import numpy as np
# Initialize a counter for file naming
file_counter = 0
connected_clients = set()
async def register_client(websocket):
connected_clients.add(websocket)
async def unregister_client(websocket):
connected_clients.remove(websocket)
asyn... | Tuzteno/Ozzu | ws/ws.py | ws.py | py | 2,072 | python | en | code | 0 | github-code | 1 |
17414099922 | from PySide2.QtWidgets import QAction, QApplication, QMessageBox, QInputDialog
from PySide2.QtCore import Qt
from PySide2.QtGui import QIcon
from PySide2.QtWidgets import QWidget, QMainWindow, QLabel, QApplication, QFileDialog
from model.Workspace import Workspace
from model.Chapter import Chapter
from model.Book impor... | dovvla/multimedia-book | MuMijA/actions/NewBookAction.py | NewBookAction.py | py | 2,130 | python | en | code | 0 | github-code | 1 |
13829989656 | import collections
import itertools
import time
import random
from typing import Optional
import streamlit as st
import numpy as np
import pyaudio
from pydub import AudioSegment, silence
from audio_io import AudioIO
from audioplots import *
from containers import *
from layout import *
ctx = {
# names match py... | phoneticsushi/muesli | streamlit_app.py | streamlit_app.py | py | 4,603 | python | en | code | 0 | github-code | 1 |
72116070115 | """
Class for computing various metrics on a data set with a BayesNet Node object.
"""
import logging
import numpy as np
from .cpd.ogive import OgiveCPD
EPSILON = 1e-16
MAP_ACCURACY_KEY = 'map_accuracy'
AUC_KEY = 'auc'
LOGLI_KEY = 'logli'
D_PRIME_KEY = 'd_prime'
NAIVE_KEY = 'naive'
METRICS_KEYS = {NAIVE_KEY, LOGLI_... | Knewton/edm2016 | rnn_prof/irt/metrics.py | metrics.py | py | 11,126 | python | en | code | 58 | github-code | 1 |
42599399772 | #!/usr/bin/env python
# encoding: utf-8
import os
"""
@author: wenjiaGuo
@version: ??
@contact: 601152819@qq.com
@software: PyCharm
@file: 8.收集整个网站数据.py
@time: 2017/10/5 20:50
"""
# 如何创建一个爬虫来收集页面标题、正文的第一个段落，
# 以及编辑页面的链接（如果有的话）这些信息。
from urllib.request import urlopen
from bs4 import BeautifulSoup
import re
page = set(... | guowenjia/scrapingAndClear | 8.收集整个网站数据.py | 8.收集整个网站数据.py | py | 1,153 | python | zh | code | 0 | github-code | 1 |
41179644496 | from binance.client import Client
from yaspin import yaspin
import os.path
from datetime import datetime
import pickle
import pandas as pd
import backtrader as bt
class databutler():
def __init__(self,directory):
#binance client without keys for data acquisition
self.binanceClient = Client("", "")... | webclinic017/coni_standard_backtest | Databutler.py | Databutler.py | py | 3,689 | python | en | code | 1 | github-code | 1 |
31525145901 | # -*- coding:utf-8 -*-
import pandas as pd # for data handling
import numpy as np # for random selections, mainly
import matplotlib.pyplot as plt # for plotting
import matplotlib
from sklearn.datasets.samples_generator import make_blobs
from sklearn.tree import DecisionTree... | Batman001/pu-learning-demo | PU-Learning-Test-Blob.py | PU-Learning-Test-Blob.py | py | 11,230 | python | zh | code | 2 | github-code | 1 |
25229432069 | file = "bigboy"
def read():
with open(f"{file}.txt", "r") as f:
data = [datum.strip() for datum in f.readlines()]
return data
stamp, bus_id = read()
stamp = int(stamp)
bus_id = filter(lambda x: x != "x", [i for i in bus_id.split(",")])
bus_id = map(int, bus_id)
d = {}
def main1():
for i i... | XZETGEXI/AOC | 2020/d13.py | d13.py | py | 1,647 | python | en | code | 0 | github-code | 1 |
15461259378 | """ Debug GAN, generator and discriminator and save the models """
import os
import sys
import logging
import matplotlib.pyplot as plt
from constants import default_list
# Logger import
from dataset import logData
from make_models import logMod
from class_GAN import logGAN
# Debug import
from unbiased_metrics impo... | Dario-Maglio/EM-shower-simulator-with-NN | em_shower_simulator/debug.py | debug.py | py | 4,726 | python | en | code | 0 | github-code | 1 |
22088012589 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name='BraketLab',
version='1.8.0',
author="Audun Skau Hansen",
author_email="audunsh4@gmail.com",
description="Educational tool for learning quantum theory with Jupyter Notebooks",
... | audunsh/braketlab | setup.py | setup.py | py | 742 | python | en | code | 4 | github-code | 1 |
71912287073 | import argparse
import subprocess
import decode
import os
import sys
def full_executable_path(invoked):
# From https://bugs.python.org/issue8557
# https://bugs.python.org/issue8557
# with subprocess.open, c:\windows\system32\curl.exe has precedence on the PATH environment variable for Windows 10
... | CAST-Extend/com.castsoftware.aip.datamart | utilities/curl.py | curl.py | py | 2,519 | python | en | code | 1 | github-code | 1 |
73710667555 | #!/usr/bin/env python
# Run as:
# python plot_TC_vmax.py $TC_name/ID/year
# python plot_TC_vmax.py FlorenceAL062018
#
import numpy as np
import os, sys, datetime, time, subprocess
import re, csv, glob
import multiprocessing, itertools, collections
import scipy, ncepy
import matplotlib
import matplotlib.image as imag... | LoganDawson-NOAA/MEG | TC_plotting/plot_TC_vmax.py | plot_TC_vmax.py | py | 8,760 | python | en | code | 0 | github-code | 1 |
23353872700 | # -*-coding:utf-8 -*-
"""
Created on 2016-7-5
@author: Danny
DannyWork Project
"""
import socket
import threading
import time
import logging
import argparse
from utils import close_socket, parse_ping_data, reply_ping_data, get_python_version, start_data_transfer, \
PING_SENDING_START, TRANSFER_PREPARE, TRANSFER_... | manyunkai/dreverse | slave.py | slave.py | py | 7,337 | python | en | code | 7 | github-code | 1 |
6403461688 | from traceback import print_tb
import telebot
from telebot import types
import MySQLdb
from datetime import datetime
from telebot.types import ReplyKeyboardRemove
# DB & Bot connection
db = MySQLdb.connect("localhost", "root", "1", "db_bikes") or die(
"could not connect to database")
bot = telebot.TeleBot('530455... | oneku16/Digital_Campus | bot/bot.py | bot.py | py | 3,542 | python | en | code | 0 | github-code | 1 |
132504097 | import random
import sys
import threading
import time
from multiprocessing import Process
import zmq
import requests
from Crypto.Hash import SHA3_256
from Crypto.PublicKey import ECC
from Crypto.Signature import DSS
from Pyro4.util import json
n = int(sys.argv[2])
t = int(sys.argv[4])
endpoint = "htt... | Arda-Yurdakul/CS403-Term-Project | peers2.py | peers2.py | py | 2,651 | python | en | code | 0 | github-code | 1 |
23808525747 | import sys
import json
import urllib.error
import argparse
from datetime import datetime as dt
from urllib.request import urlopen, urlretrieve
from threading import Thread
from cuter import *
sys.path.append('..')
from Database import *
class DownloadImage:
def __init__(self, image_info):
self.id = ima... | sandbenders/ProphecyApparatus | scrap_reddit/scrap_reddit.py | scrap_reddit.py | py | 4,101 | python | en | code | 0 | github-code | 1 |
14819430832 | # myapp/test_app.py
import unittest
from fillmore.test import SentryTestHelper
from myapp.app import kick_up_exception
class TestApp(unittest.TestCase):
def test_scrubber(self):
# Reuse the existing Sentry configuration and set up the helper
# to capture Sentry events
sentry_test_helper ... | willkg/fillmore | examples/myapp/myapp/test_app.py | test_app.py | py | 779 | python | en | code | 6 | github-code | 1 |
26575927806 | import sys
from sqlalchemy import create_engine
import pandas as pd
import numpy as np
import pickle
from sklearn.model_selection import train_test_split
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.multioutput import MultiOutputClassi... | atomopa/udacity_data_scientist_project2 | models/train_classifier.py | train_classifier.py | py | 4,960 | python | en | code | 0 | github-code | 1 |
43032086095 | """
The Python script to test if the web page displays "Hello World"
"""
import urllib3
from bs4 import BeautifulSoup
def test_hello_world():
http = urllib3.PoolManager()
response = http.request("GET", "http://localhost")
soup = BeautifulSoup(response.data, "html.parser")
assert soup.h1.text.strip() ... | CSEC380-Group16/csec380-project | tests/test_act2.py | test_act2.py | py | 388 | python | en | code | 0 | github-code | 1 |
28915980403 | #!/usr/bin/python
import math;
import numpy as np
from linmach import linmach
from confus import confus
from perceptron import perceptron
#Cargar los datos
data=np.loadtxt('./datos/OCR_14x14');
#Preparar variables
N,L=data.shape;
D=L-1;
labs=np.unique(data[:,L-1])
C=labs.size;
#Preparar los datos. Primero se baraja... | YdavPacat/ETSINF3 | SIN/pract2/test_estimacion_error.py | test_estimacion_error.py | py | 1,250 | python | es | code | 10 | github-code | 1 |
6472826034 | """
Hello world!
"""
DOMAIN = "z2m_light_admin"
async def async_setup(hass, config):
"""Set up this integration using yaml."""
url = f'/api/panel_custom/{DOMAIN}/main.js'
location = hass.config.path(f'custom_components/{DOMAIN}/main.js')
hass.http.register_static_path(url, location)
hass.component... | Vityushka/myconfig | custom_components/z2m_light_admin/__init__.py | __init__.py | py | 768 | python | en | code | null | github-code | 1 |
6781968903 | dr=[0,-1]
dc=[-1,0]
t=int(input())
for tc in range(1,t+1):
n=int(input())
arr = []
for ii in range(n):
_list=list(map(int,input().split()))
arr.append(_list)
for r in range(n):
for c in range(n):
value=[]
for i in range(2):
nr=r+dr[i]
... | Hyunjong1461/python | 200506/5188.최소합.py | 5188.최소합.py | py | 538 | python | en | code | 0 | github-code | 1 |
25889695431 | # Custom module to assess performance of ML model
# Author: Rupinder Singh (Oct. 25, 2016)
from __future__ import division
import matplotlib.pyplot as plt
from sklearn.metrics import auc,r2_score
import numpy as np
import pandas as pd
from scipy.stats import sem
from mpl_toolkits.axes_grid1 import make_axes_locatable
... | rupndrsingh/predictions-mvc | pLib/rs_model_metrics.py | rs_model_metrics.py | py | 22,722 | python | en | code | 0 | github-code | 1 |
29166855011 | import numpy as np
import pyqtgraph
from pyqtgraph.Qt import QtGui
from app.misc._miss_plot import MissPlotItem
from osu_analysis import StdScoreData
class HitOffsetGraph(QtGui.QWidget):
def __init__(self, parent=None):
QtGui.QWidget.__init__(self, parent)
# Main graph
self.__graph = p... | abraker-osu/osu_aim_tool | app/views/_offset_graph.py | _offset_graph.py | py | 7,745 | python | en | code | 7 | github-code | 1 |
71377869154 | import wx
from wx.lib.newevent import NewCommandEvent
import wx.lib.agw.cubecolourdialog as colordialog
from .constants import TEXT_COLOR
from .icons import ICON_BRUSH_CHECKERBOARD
button_cmd_event, EVT_COLORPICKER_BUTTON = NewCommandEvent()
class ColorPickerButton(wx.Control):
"""
Color picker widget for ... | GimelStudio/gswidgetkit | gswidgetkit/color_picker.py | color_picker.py | py | 4,863 | python | en | code | 9 | github-code | 1 |
72383077154 | import torch
import torch.nn as nn
import torch.nn.functional as F
# Parts of these codes are from: https://github.com/Linfeng-Tang/SeAFusion
class Sobelxy(nn.Module):
def __init__(self):
super(Sobelxy, self).__init__()
kernelx = [[-1, 0, 1],
[-2, 0, 2],
[-1, 0... | GeoVectorMatrix/Dif-Fusion | models/fs_loss.py | fs_loss.py | py | 2,182 | python | en | code | 33 | github-code | 1 |
26890413015 | # Import the modules
import numpy as np
import matplotlib.pyplot as plt
import pickle
from DDPG import DDPG
from sklearn.ensemble import GradientBoostingRegressor
from env import Environment
import numpy as np
import scipy.stats as stats
# Define the parameters
MAX_EPISODES = 1000 # The maximum number of ep... | CodeAlpha7/8803-SMR | Distillation/newGBDT.py | newGBDT.py | py | 6,457 | python | en | code | 0 | github-code | 1 |
36629600964 | X = dataset.drop(['class'], axis=1)
y = dataset['class']
print(f'X shape: {X.shape} | y shape: {y.shape} ')
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state=1)
models = []
models.append(('SVC', SVC(gamma='auto')))
# evaluate each model in turn
results = []
model_names = []
for name... | satwik12234/Iris-Flower-Classification | ModelBuilding1.py | ModelBuilding1.py | py | 619 | python | en | code | 0 | github-code | 1 |
9274154374 | class Solution:
def lengthOfLongestSubstringTwoDistinct(self, s: str) -> int:
if (len(s) <= 2):
return len(s)
i = maxLength = 0
j = 1
seen = [s[0]]
while (j < len(s)):
if (len(seen) == 1 and s[j] not in seen):
seen.insert(0, s[j])
... | FlashWolfDragon/leetcode-submissions | problems/159.longest-2-substring.py | 159.longest-2-substring.py | py | 567 | python | en | code | 0 | github-code | 1 |
13140445812 | #!/usr/bin/env python3
import scapy.all as scapy
import time
import sys
import argparse
def get_arguments():
parser = argparse.ArgumentParser()
parser.add_argument('-t', '-target', dest='target_ip', help='Target IP')
parser.add_argument('-s', '-spoof', dest='spoof_ip', help='Spoof IP')
opti... | userbarbu/hk4ing-tools | arp_spoof.py | arp_spoof.py | py | 1,851 | python | en | code | 0 | github-code | 1 |
5059822920 | from __future__ import annotations
from dataclasses import dataclass, field
from math import ceil
from pathlib import Path
from typing import TYPE_CHECKING, Any, overload
from vstools import (
MISSING, CustomRuntimeError, FileWasNotFoundError, MissingT, core, expect_bits, get_user_data_dir, get_video_format,
... | jiaolovekt/HPCENC | deps/vs-plugins/vsscale/shaders.py | shaders.py | py | 6,240 | python | en | code | 11 | github-code | 1 |
36365558628 | import os
import logging
"""
读取文件函数
"""
# ------------------------------
logging.basicConfig(
level=logging.DEBUG,
format="\033[37m[%(asctime)s] [%(pathname)s] (%(levelname)s-第%(lineno)d行) \n%(message)s\033[0m")
# ------------------------------
def open(self, all): # 读取文件夹内文件 # 输入路径
"""
:param se... | ramchan1988/HUMEI1 | os_file.py | os_file.py | py | 1,512 | python | en | code | 0 | github-code | 1 |
10556332205 | """
History
AUTHOR: JOE ROCCA
"""
from __future__ import print_function
import httplib
import json
from random import randint
from datetime import datetime
import calendar
# --------------- MAIN FUNCTIONS ----------------------
def lambda_handler(event, context):
""" Route the incoming request based on type (Lau... | joerocca/AmazonEchoHistorySkill | HistoryAlexaSkill.py | HistoryAlexaSkill.py | py | 8,308 | python | en | code | 1 | github-code | 1 |
69902924513 | import os
file = open("textoprueba1.txt")
print(file.read())
file.close()
file = open("textoprueba1.txt")
for line in file:
print(line)
file.close()
file2 = open("textoprueba2.txt",'w')
file3 = open("textoprueba3.txt", 'a')
file2.writelines('hola mundo')
file3.writelines('hola mundo 3')
file3.write('\nPrue... | jarosemena/pythonCurso | archivos.py | archivos.py | py | 796 | python | es | code | 0 | github-code | 1 |
19533480982 | def nearest_value(values: set, one: int) -> int:
# method one
l = list(values)
output = None
#if one is in list then output one
if(one in l):
output = one
#else find closest neighbour
else:
#add value and sort list ascending
l.append(one)
l.sort()
i = ... | PeterCassell92/Check.io-Python | Elementary/Elementary_ex13.py | Elementary_ex13.py | py | 1,546 | python | en | code | 0 | github-code | 1 |
72860061154 | from bs4 import BeautifulSoup
from django.test import TestCase, Client
from django.contrib.auth.models import User
from .models import Post, Category, Tag
# <6. 테스트 주도 개발>
# pip install beautifulsoup4 로 beautifulsoup4 설치하고 사용
# 1. python manage.py test 테스트 하는 명령어
# 2. blog/test.py에 TestCase를 상속받고 이름이 'Test'로 시ㅔㅛ작하는 ... | devMooon/internet-programming | 과제/10주차/컴퓨터공학전공20200675문서연_tests.py | 컴퓨터공학전공20200675문서연_tests.py | py | 11,826 | python | ko | code | 0 | github-code | 1 |
19466941066 | # -*- coding: utf-8 -*-
"""
@file
@brief Module *code_beatrix*.
.. faqref::
:title: Pourquoi Python?
`Python <https://www.python.org/>`_
est un langage de programmation très répandu aujourd'hui
qui fut choisi à l'`ENSAE <http://www.ensae.fr/ensae/fr/>`_ en
2005 pour remplacer le `C++ <https://fr.w... | sdpython/code_beatrix | src/code_beatrix/__init__.py | __init__.py | py | 3,006 | python | fr | code | 1 | github-code | 1 |
21143693469 | """
Watch global hotkeys.
Created on 15.01.2017
@author: Ruslan Dolovanyuk
"""
import logging
import keyboard
class Hotkeys:
"""Class watch globals hotkeys."""
def __init__(self, config, generals):
"""Initialize class Hotkeys."""
self.log = logging.getLogger()
self.log.info('init... | DollaR84/SARA | hotkeys.py | hotkeys.py | py | 936 | python | en | code | 2 | github-code | 1 |
20522260254 | import pytest
def test_ctypes_cdll_unknown_dll(pyi_builder, capfd):
with pytest.raises(pytest.fail.Exception, match="Running exe .* failed"):
pyi_builder.test_source(
"""
import ctypes
ctypes.cdll.LoadLibrary('non-existing-2017')
"""
)
out, err =... | pyinstaller/pyinstaller | tests/functional/test_runtime.py | test_runtime.py | py | 386 | python | en | code | 10,769 | github-code | 1 |
32805233512 | # *** coding: utf-8 ***
#@Time : 2020/11/28 10:03
#@Author : xueqing.wu
#@Email : wuxueqing@126.com
#@File : apiOrder.py
import settings
from settings import IP,HEADERS
from tools.logger import GetLogger
logger = GetLogger().get_logger()
class ApiOrder():
def __init__(self):
logger.info('开始获取下单接口的U... | aadorable/mtx1212 | api/apiOrder.py | apiOrder.py | py | 1,153 | python | en | code | 0 | github-code | 1 |
21521899393 | from typing import List
class Solution:
def containsDuplicate(self, nums: List[int]) -> bool:
number_set = set()
for n in nums:
if n not in number_set:
number_set.add(n)
else:
return True
return False
solution = Solution()
answer =... | yihsuanhung/leetcode | 217. Contains Duplicate/main.py | main.py | py | 373 | python | en | code | 0 | github-code | 1 |
21003159623 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('organizations', '0008_address_timezone'),
]
operations = [
migrations.AddField(
model_name='organization',
... | getcircle/services | organizations/migrations/0009_organization_image_url.py | 0009_organization_image_url.py | py | 424 | python | en | code | 0 | github-code | 1 |
40133363615 | from collections import deque
dx = [-1, 1, 0, 0]
dy = [0, 0, -1, 1]
def nextspots(board, pos, n):
nextspots = []
pos = list(pos)
x1, y1, x2, y2 = pos[0][0], pos[0][1], pos[1][0], pos[1][1]
for i in range(4): # 상하좌우
nx1, ny1 = x1 + dx[i], y1 + dy[i]
nx2, ny2 = x2 + dx[i], y2 + dy[i]
... | Woojung0618/algorithmSolve | Programmers/Lv3/블록이동하기.py | 블록이동하기.py | py | 1,594 | python | en | code | 0 | github-code | 1 |
16778808004 | inversores = [
"1,Veriee,vvasilkov0@qq.com,Female,Besançon",
"2,Lizbeth,locklin1@tiny.cc,Female,Jawand",
"3,Tymon,thillum2@diigo.com,Male,Rîbniţa",
"4,Teddie,tschofield3@ehow.com,Male,Tlogoagung",
"5,Dom,dantonin4@squarespace.com,Male,Tonjongsari",
"6,Armstrong,acreegan5@reverbnation.com,M... | pablokan/23prog1 | parciales/A/parcial_Alvarez.py | parcial_Alvarez.py | py | 3,868 | python | es | code | 0 | github-code | 1 |
17599914288 | import json
useDebugPrint = False
class Bets():
def __init__(self, bot, chatpointsObj, chateventsObj, jsonpath):
self.bot = bot
self.chatpointsObj = chatpointsObj
self.chateventsObj = chateventsObj
self.jsonpath = jsonpath
self.bets = {}
try:
with open(... | Petricpwnz/NyAI | modules/bet.py | bet.py | py | 9,192 | python | en | code | 1 | github-code | 1 |
21619963342 | import threading
import time
import urllib
from collections import deque
import discord
import cogs.voice_lib.mkvparse as mkvparse
import logging
# dumb buffer stuff
import io, queue, subprocess
class Handler(mkvparse.MatroskaHandler):
def __init__(self, packet_buffer):
self.packet_buffer = packet_buf... | biglizards/butty | cogs/voice_lib/parser.py | parser.py | py | 4,677 | python | en | code | 2 | github-code | 1 |
25515562168 | import pyautogui, time
print("A simple text spam bot that types a massage and presses enter")
print("word mode =w copy and paste mode =c self enter mode =t")
mode = input("word or copy and paste mode? ")
def modet():
text = input("Entere a text to spam: ")
num = int(input("Enter a num:"))
time.slee... | Kn0spi/Spam_Bot | spam_bot.py | spam_bot.py | py | 1,084 | python | en | code | 0 | github-code | 1 |
14592252085 | from rest_framework import viewsets, mixins
from rest_framework.response import Response
from .models import AssignmentGroup, Assignment, StudentAssignment
from .serializers import (AssignmentGroupSerializer,
AssignmentSerializer, StudentAssignmentSerializer)
from .policies import (AssignmentG... | benhchoi/coursemanager | coursemanager/assignments/api.py | api.py | py | 2,830 | python | en | code | 0 | github-code | 1 |
12485774958 | from itertools import product
from space import Space
def knapsack(items, limit):
"""Find the most valuable combination of items given the limit.
>>> items = set([('green', 12, 4), ('grey', 1, 2), ('blue', 2, 2), ('orange', 1, 1), ('yellow', 4, 10)])
>>> knapsack(items, 15)
[('grey', 1, 2), ('yellow', 4, 10... | Ceasar/gadgets | knapsack.py | knapsack.py | py | 2,006 | python | en | code | 0 | github-code | 1 |
1374574117 | import torch
from tqdm import tqdm
from tabulate import tabulate
from collections import OrderedDict
from torch.nn import functional as F
from HDG.engine.trainer import GenericNet
from HDG.utils import count_num_parameters, evaluator, TripletLoss
from HDG.engine import TRAINER_REGISTRY, GenericTrainer
from HDG.optim im... | VirtueZhao/HDGC | HDG/engine/baseline/CrossGrad.py | CrossGrad.py | py | 5,587 | python | en | code | 0 | github-code | 1 |
26358226185 | import os, time
import component, util, startup
comp = "postgrest"
this_dir = os.path.dirname(os.path.realpath(__file__))
bin_file = this_dir + os.sep + comp
os.system("sudo cp " + bin_file + " /usr/local/bin/.")
svc_file = this_dir + os.sep + 'postgrest.service'
util.replace('USER', util.get_user(), svc_file, Tru... | pgEdge/nodectl | src/postgrest/init-postgrest.py | init-postgrest.py | py | 811 | python | en | code | 7 | github-code | 1 |
17977945273 | from models.Project import Project
from main import db
from flask import Blueprint, request, render_template, redirect, url_for, flash
from flask_login import login_required, current_user
projects = Blueprint('projects', __name__, url_prefix='/projects')
@projects.route('/', methods=['GET'])
def project_index():
... | eric-chew/T4A2-B | src/controllers/projects_controller.py | projects_controller.py | py | 3,040 | python | en | code | 0 | github-code | 1 |
26398264145 | from copy import deepcopy
from utils import *
from test import test_all
from c45 import max_gain
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, precision_recall_curve
def build_tree(T):
"""
An entry point in C45 algorithm.
_T_ - a two-dimensional array represen... | buffer404/university | year3/Artificial intelligence systems/lab3/main.py | main.py | py | 2,684 | python | en | code | 1 | github-code | 1 |
74246117472 | def couple(string_in):
alpha_set = set(string_in)
alpha_dict = {}
for alpha in list(alpha_set):
alpha_dict[alpha] = string_in.count(alpha)
result = []
for key in alpha_dict:
if alpha_dict[key] % 2 == 1:
result.append(key)
if not result:
return 'Good'
els... | jinyoong/SWEA | problem/D3/10912. 외로운 문자.py | 10912. 외로운 문자.py | py | 488 | python | en | code | 0 | github-code | 1 |
10604830299 | from datetime import datetime
def compare_dateprices(dp_a, dp_b, initial=True):
date_a, date_b = dp_a[0], dp_b[0]
if initial:
best_dp = dp_a if date_a <= date_b else dp_b
else:
best_dp = dp_a if date_a > date_b else dp_b
return best_dp
if __name__ == "__main__":
date1 = datetim... | sullyD64/bigdata-2019 | project1/src/spark/misc/tests.py | tests.py | py | 552 | python | en | code | 0 | github-code | 1 |
35990658808 | """
This module is used to store the methods for setting up the NSX-T XUI
"""
import json
import os
from os import path
from packaging import version
from cbhooks.models import CloudBoltHook
from servicecatalog.models import ServiceBlueprint
from resourcehandlers.models import ResourceHandler
from xui.nsxt.... | mbomb67/cloudbolt_samples | cloudbolt_content/ui-extension-packages/nsxt/config.py | config.py | py | 6,538 | python | en | code | 2 | github-code | 1 |
34575920634 | import os
import sys
import warnings
import numpy as np
from manim import *
from .bubbles import ThoughtBubble
from .bubbles import SpeechBubble
from .creature import Creature
from sound.constants import CREATURE_DIR
class QuarterCreature(Creature):
LEFT_EYE_INDEX = 0
RIGHT_EYE_INDEX = 1
L... | NewMarketYT/essentials_of_music | sound/assets/creatures/quarter_creature.py | quarter_creature.py | py | 3,102 | python | en | code | 2 | github-code | 1 |
20920399171 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
"""
Plotting utils
"""
import math
import os
from copy import copy
from pathlib import Path
import cv2
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sn
import torch
from PIL import Image, ImageDraw, ImageFont
impo... | ziyan0302/Yolov5_DeepSort_Pytorch_ros | Yolov5_DeepSort_Pytorch/yolov5/utils/plots.py | plots.py | py | 29,223 | python | en | code | 5 | github-code | 1 |
23463756424 | #!/usr/bin/python3
"""Advanced API.
***This is an advanced task***
For this task, we'll recursively call the Reddit API,
parse the titles of all hot articles and return a sorted
count of given keywords(case-sensitive, delimited by
spaces).
Note:
1. No iteration!
2. If `word_list` contains duplicates, then the... | brian-ikiara/alx-system_engineering-devops | 0x16-api_advanced/100-count.py | 100-count.py | py | 2,452 | python | en | code | 0 | github-code | 1 |
9448345498 | from random import randrange
def column(grid: list, disc: str) -> int:
grid_check = grid.copy()
grid_check.pop(6)
if grid[6] == [5, 5, 5, 5, 5, 5, 5, 5, 5]:
print("DEBUG: TABLERO VACIO")
return randrange(0, 9, 1)
else:
y_pos = 0
for y in grid_check:
x_pos = 0
for x in y:
if x != ... | sandra1036/DIN | Excercices/C4/C4_Me/ruben.py | ruben.py | py | 1,159 | python | en | code | 0 | github-code | 1 |
4836908083 | ##########################################
# @subject : Person segmentation #
# @author : perryxin #
# @date : 2018.12.27 #
##########################################
import torch.utils.data as Data
from read_data import *
from config import *
from models.unet_plusplus im... | hellopipu/person_seg | test.py | test.py | py | 2,579 | python | en | code | 15 | github-code | 1 |
23164192729 | import geopandas as gp
import shapely
def intersection(left, right, grid_size=0):
"""Intersect the geometries from the left with the right.
New, intersected geometries are stored in "geometry_right".
Uses spatial index operations for faster operations. Wholly contained
geometries from right are cop... | astutespruce/secas-blueprint | analysis/lib/geometry/intersection.py | intersection.py | py | 1,867 | python | en | code | 0 | github-code | 1 |
32308460282 | import os
from flask import jsonify, request
import requests
def getWeather():
try:
API_KEY = os.getenv("API_KEY")
args = request.args
lon = str(args.get('lon'))
lat = str(args.get('lat'))
url = f'https://api.openweathermap.org/data/2.5/weather?lat={lat}&lon={lon}&a... | HarshxiT/Krishi-Network | apps/weather/controller.py | controller.py | py | 492 | python | en | code | 0 | github-code | 1 |
71291623714 | import gensim
from sklearn import svm
from sklearn import datasets
from sklearn.feature_extraction.text import TfidfVectorizer
from joblib import dump, load
import flask
from flask_restful import Resource, Api, reqparse
from flask import request
from functools import partial
from flask import request, jsonify
... | themorlock/SearchMart | RestAPI/api.py | api.py | py | 2,142 | python | en | code | 1 | github-code | 1 |
39424860660 | import cv2
import io
import os
from google.cloud import vision
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = ".." #put your google API credintials here
# Instantiates a client
client = vision.ImageAnnotatorClient()
#folder = "/uploads/"
class Image():
def __init__(self):
self.labels = []
self... | yahyaakli/spring2021hackathon | src/Image.py | Image.py | py | 2,347 | python | en | code | 0 | github-code | 1 |
70028298274 | #!/bin/python
import argparse
import numpy as np
import pandas as pd
import time
import json
from datetime import datetime, timedelta
from confluent_kafka.avro import AvroProducer
def parse_args():
parser = argparse.ArgumentParser(description='Publish CSV records to a Kafka topic.')
parser.add_argument('--de... | brunoribeiro2k/movielens-events | src/main/python/publish-ratings.py | publish-ratings.py | py | 3,929 | python | en | code | 0 | github-code | 1 |
75138812834 | import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
import module_utils
import simulation_utils as sim_utils
import recorder as rec
import copy
def eligibilityNavigation(symbols, start, goal, distance, nscales = 1,
ms_per_frame = 1, f = 3, min_base_delay ... | Playmojs/tss_eligibility_traces | navigation/nav_eligibility5.py | nav_eligibility5.py | py | 8,464 | python | en | code | 0 | github-code | 1 |
36170482691 | import time
from typing import List, Tuple, Iterable
from volatility3.framework import constants, interfaces, layers, symbols
from volatility3.framework.configuration import requirements
from volatility3.framework.interfaces import plugins
from volatility3.framework.renderers import TreeGrid
from volatility3.framework... | volatilityfoundation/volatility3 | volatility3/framework/plugins/windows/info.py | info.py | py | 9,625 | python | en | code | 1,879 | github-code | 1 |
26597485464 | import pdb, argparse
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision as thv
from torchvision import transforms
from torch.utils.data import Dataset, DataLoader
from CarlaDataset import CarlaDataset
from CVAE import CVAE
from siameseC... | klaywittler/latent-map-planning | model/train_siamese.py | train_siamese.py | py | 1,675 | python | en | code | 1 | github-code | 1 |
22352762214 | """
@function: choose the attacked flights
@author: Tengyao Li
@date: 2018/09/12
@status: developing
"""
import numpy as np
class attacked_flight:
"""
@function: get the attacked icao set
@author: Tengyao Li
@date: 2018/09/12
"""
def __init__(self, origin_df):
"""
@function: ... | litengyao/adsb-attack-data-generator | attack_choice/attacked_flight.py | attacked_flight.py | py | 3,060 | python | en | code | 4 | github-code | 1 |
15201921852 | from argparse import ArgumentParser, HelpFormatter
import itertools
import sys
from pathlib import Path
# ============================================================================================================
# === DTN ARGUMENT PARSER CLASSES
# ====================================================================... | msancheznet/dtnsim | simulator/utils/DtnArgumentParser.py | DtnArgumentParser.py | py | 3,255 | python | en | code | 9 | github-code | 1 |
12855623235 | from turtle import Turtle
import random
class Food(Turtle):
def __init__(self):
"""
default constructor that initialize the "food" turtle, it inherits the Turtle class
"""
super().__init__()
self.penup()
self.shape("circle")
self.shapesize(stretc... | Mqondisi-Mavuso/Online_Courses | Udemy/100_days_python_bootcamp/Day20/food.py | food.py | py | 712 | python | en | code | 0 | github-code | 1 |
32100442579 | from ase import Atoms
import numpy as np
atoms = Atoms(['O', 'H', 'H'], positions=[[0., 0., 0.119262],
[0., 0.763239, -0.477047],
[0., -0.763239, -0.477047]])
# Angle no pbc
assert abs(atoms.get_angle(1, 0, 2) - 104) < 1e-3
atoms.set... | joliesla/Material-modelling | venv/Lib/site-packages/ase/test/atoms_angle.py | atoms_angle.py | py | 1,046 | python | en | code | 1 | github-code | 1 |
4851164907 | # -*- coding: utf-8 -*-
import itertools
from flask import url_for
from flask_mail import Message
import query_phenomizer
from scout.constants import (CASE_STATUSES, PHENOTYPE_GROUPS, COHORT_TAGS)
from scout.models.event import VERBS_MAP
from scout.server.utils import institute_and_case
STATUS_MAP = {'solved': 'bg-s... | gitter-badger/scout | scout/server/blueprints/cases/controllers.py | controllers.py | py | 6,194 | python | en | code | null | github-code | 1 |
46241357 | import logging
import os
import click
import pandas as pd
import tqdm
from mol_dyn.pipeline import pipeline
from mol_dyn.utils import load_smiles_csv
@click.command()
@click.option("--smiles_csv", required=True, help="Smiles csv")
@click.option("--output_folder", required=True, help="Output folder")
@click.option("-... | rxn4chemistry/rxn-ir-to-structure | scripts/run_md_pipeline.py | run_md_pipeline.py | py | 3,122 | python | en | code | 4 | github-code | 1 |
73578519393 | import re
import numpy as np
from p1_DICT import *
import time
dictory={}
#制作词典
def get_dict(dict_path):
with open(dict_path,'r',encoding='utf-8') as f:
for line in f:
dictory[line[:len(line)-1]]=0
def isword(word):
return word in dictory
def fmm(max_len,txt_path='../io_file/train_test/tes... | kokolerk/HIT-NLP-notes_lab | nlplab1/lab1code/p3FMM_BMM.py | p3FMM_BMM.py | py | 2,474 | python | en | code | 3 | github-code | 1 |
12046323109 | import sklearn
import joblib
import cv2
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import albumentations
from torch.utils.data import Dataset, DataLoader
from PIL import Image
import time
import firebase_admin
from firebase_admin import credentials
from firebase_admin import f... | Abdelazizmuhmd/drowning-detection | projectjetson/jetson.py | jetson.py | py | 3,581 | python | en | code | 2 | github-code | 1 |
20667232591 | # 숨바꼭질 1차원 bfs로 next x 값을 x-1,x+1,x*2 비교해주면서 다음값에 +1씩
from collections import deque
import sys
input=sys.stdin.readline
n,k=map(int,input().split())
graph=[0]*100001
def bfs(n):
queue=deque()
queue.append(n)
while queue:
x=queue.popleft()
if x==k:
return graph[x]
for nx in (x-1,x+1,x*2):
... | jeongkwangkyun/algorithm | BFS/1697.py | 1697.py | py | 465 | python | en | code | 0 | github-code | 1 |
31900102139 | # -*- coding: utf-8 -*-
"""
@File : pathSum.py
@Author : wenhao
@Time : 2023/2/1 11:58
@LC :
"""
from Tree import TreeNode
from typing import List
class Solution:
def pathSum(self, root: TreeNode, target: int) -> List[List[int]]:
ans = []
if root is None:
return ans
... | callmewenhao/leetcode | offer/二叉树/pathSum.py | pathSum.py | py | 840 | python | en | code | 0 | github-code | 1 |
15362469033 | import click
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
def get_wiki_vocab(file):
"""
Build a vocabulary from Wikipedia articles.
Parameters
----------
file : str
File path to Wikipedia article text
Returns
----... | bllguo/KSI | vectorize_data.py | vectorize_data.py | py | 6,602 | python | en | code | 0 | github-code | 1 |
29262433576 | def best_time_to_buy_and_sell_stock(stocks):
if not stocks:
return 0
ans = 0
mini = stocks[0]
for i in range(1,len(stocks)):
if stocks[i] < mini:
mini = stocks[i]
else:
ans = max(ans, stocks[i] - mini)
return ans
nums = list(map(int,input("enter the n... | Mayankjha997/Neetcode_python_solution | sliding window/Best_time_to_buy_and_sell_stock.py | Best_time_to_buy_and_sell_stock.py | py | 404 | python | en | code | 0 | github-code | 1 |
11435870647 | # TEORIA:
'''
# importa o pygame
import pygame
# inicializa o modulo do pygame
pygame.init()
# definindo o tamanho da tela para o Pygame
dis_width = 600 # largura
dis_height = 400 # altura
dis = pygame.display.set_mode((dis_width,dis_height))
red = (219, 31, 31)
green = (44, 219, 31)
squareSize = 20
circleRadius =... | fabiodm7/stuPy | intro/game.py | game.py | py | 7,319 | python | pt | code | 0 | github-code | 1 |
12254940680 | """ Functions to facilitate reading csv files """
import sys
import os
import re
class CsvReadError(Exception):
"""Error class for reporting errors related to reading CSV files"""
def __init__(self, value, info=""):
self.value = value
self.info = info
def choose_file_in_dir(directory):
... | BenLatham/CSV-reader | csvReader/csvReader.py | csvReader.py | py | 12,649 | python | en | code | 0 | github-code | 1 |
23574301968 | #estrutura de decisão
#simples
#encadeadas
idade = int(input('digite sua idade'))
if(idade >= 18):
tempo = idade - 18
print('pode vender bebida')
print(f'ele(a) ja pode comprar bebida ha {tempo} ano(s)')
else:
tempo = 18 - idade
print(f'NAO pode vender bebida e deve esperar {tempo} ano(s)')
| renegadelhaedu/alg20231 | code13.py | code13.py | py | 321 | python | pt | code | 1 | github-code | 1 |
2738595022 | from django.http import HttpResponse, HttpResponseForbidden
from django.shortcuts import render, redirect, get_object_or_404
from django.db.transaction import atomic, non_atomic_requests
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST
from ipaddress import ip_a... | Wizard-Fingerz/GreenPurseBackend | payment/views.py | views.py | py | 10,164 | python | en | code | 0 | github-code | 1 |
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