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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
11675785964 | from typing import Union
class BitReadStream:
def __init__(self, some_bytes: bytes = b''):
self.some_bytes = some_bytes
self.r_pointer = 0
self.r_in_byte_pointer = 0
def read(self, size: int = -1) -> str:
bits = []
while size != 0:
bit = self.get_bit_at(sel... | Arcimiendar/huffman_python | src/bit_stream.py | bit_stream.py | py | 1,972 | python | en | code | 0 | github-code | 90 |
41340613770 | from pylsl import StreamInfo, StreamOutlet
import random
import time
import csv
import keyboard
def main():
# Set up LabStreamingLayer stream.
info = StreamInfo(name='PyMarker', type='Markers', channel_count=3,
channel_format='double64', source_id='unique113')
# Broadcas... | underhood31/AFC-scripts | drive-download-20220321T153410Z-001/pylsl_outlet.py | pylsl_outlet.py | py | 957 | python | en | code | 0 | github-code | 90 |
16812631637 | n = int(input())
max_n = n*n
a = [[0 for j in range(n)] for i in range(n)]
step = 1
i, j = 0, 0
i_min, j_min = 0, 0
i_max, j_max = n, n
while step <= max_n:
while j < j_max: #вправо
a[i][j] = step
j += 1
step += 1
j -=1
i +=1
while i < i_max: #вниз
a[i][j] = step
... | FoxProklya/Step-Python | conclusion_of_the_squares_in_a_spiral.py | conclusion_of_the_squares_in_a_spiral.py | py | 707 | python | en | code | 0 | github-code | 90 |
43286245033 | 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
#from selenium.webdriver.support.ui import Select
import time
import math
import pyperclip
def calc(x):
return ... | sergeykasyan/Stepik---auto-tests-course | lesson2-4_step8.py | lesson2-4_step8.py | py | 1,271 | python | en | code | 0 | github-code | 90 |
37926266708 | ### 1 – Crie um dicionário em que suas chaves serão os números 1, 4, 5, 6, 7, e 9
# (que podem ser armazenados em uma lista) e seus valores correspondentes
# aos quadrados desses números.
# listaNum = [1, 4, 5, 6, 7, 9]
# numDicionario = dict()
# for i in listaNum :
# numDicionario[i] = i**2
# print(numDicionari... | GarconeAna/aulasBlue | aula11-exercicos/exercicios01.py | exercicios01.py | py | 3,878 | python | pt | code | 0 | github-code | 90 |
26515609509 | import pymysql
def db_login(user, passwd, server_addr, dbname):
try:
db = pymysql.connect(server_addr, user, passwd, dbname)
except pymysql.err.OperationalError:
db = None
return db
def db_showtable(db):
cursor = db.cursor()
cursor.execute("show tables")
tabs = cursor.fetchall(... | Philip-Chang/USTC-2020SPRING | Data Base/python+flask/db.py | db.py | py | 6,391 | python | en | code | 1 | github-code | 90 |
19932235322 | #Program coded by: Ian McDowell
import math
import random
#makes array for 'songs'
global SongList
SongList = []
#asks user for how many 'songs' they want in the list and creates the list
global SongAmount
SongAmount = int(raw_input("How many songs?"))
for x in range(0,SongAmount + 1):
SongList.insert(0,x)
SongList.r... | ianm24/Music-Player-Shuffler | Test/Shuffle/shuffle.py | shuffle.py | py | 2,021 | python | en | code | 0 | github-code | 90 |
18536539659 | # union-find
# こういう问题のときにUnion-Findなのか幅优先探索なのか深さ优先探索なのか迷う。
# ちなみに解说PDFはUnion-Findを挙げている。
n, m = map(int, input().split())
def find_root(x):
if par[x] == x:
return x
else:
par[x] = find_root(par[x])
return par[x]
def unite(x, y):
x = find_root(x)
y = find_root(y)
if(x == y)... | Aasthaengg/IBMdataset | Python_codes/p03354/s293670845.py | s293670845.py | py | 1,241 | python | zh | code | 0 | github-code | 90 |
42039763520 | """
You are given a string s that consists of lower case English letters and brackets.
Reverse the strings in each pair of matching parentheses, starting from the innermost one.
Your result should not contain any brackets.
Example 1:
Input: s = "(abcd)"
Output: "dcba"
Example 2:
Input: s = "(u(love)i)"
Output... | nilay-gpt/LeetCode-Solutions | reve_str_in_brackets.py | reve_str_in_brackets.py | py | 887 | python | en | code | 2 | github-code | 90 |
20902854572 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import argparse
import functools
import paddle
import paddle.fluid as fluid
import models
from utility import add_arguments, print_arguments
parser = argparse.ArgumentParser(description=__... | PaddlePaddle/Research | CV/landmark/inference/convert_binary_model.py | convert_binary_model.py | py | 2,544 | python | en | code | 1,671 | github-code | 90 |
36437174249 | import pygame
from src.components.Coin import Coin
from src.utils.drawText import drawText
class UserInterface:
def __init__(self, screen, colors, level_name, player_info):
# Passed attributes
self.screen = screen
self.colors = colors
self.level_name = level_name
self.player_info = player_info
... | Luc4r/Rectov | src/components/UserInterface.py | UserInterface.py | py | 846 | python | en | code | 0 | github-code | 90 |
42236050129 | import mysql.connector
import os
from timeit import default_timer as timer
from datetime import timedelta, date
import cred
import platform
con = mysql.connector.connect(host=cred.host, password=cred.password, user=cred.user, database=cred.database)
cursor = con.cursor()
cursor.execute('Delete from info2')
con.commit()... | Baibhav-Mishra/Ludo | start.py | start.py | py | 1,011 | python | en | code | 0 | github-code | 90 |
29581719852 | from piano_transcription_inference import PianoTranscription, sample_rate, load_audio
import os
import time
def main():
st = time.time()
song = "./audio/seg/Q4_aQ4PIaRMLwE_0.mp3"
# Load audio
print("### Loading ###")
(audio, _) = load_audio(song, sr=sample_rate, mono=True)
# Transcriptor... | joann8512/piano_transcription | inference_test.py | inference_test.py | py | 805 | python | en | code | 0 | github-code | 90 |
33412833993 | import numpy as np
import matplotlib.pyplot as plt
import math
height = 480
width = 640
r = max(height,width)
x1 = 50
y1 = -150
x2 = 150
y2 = 150
dx = x2-x1
dy = y2-y1
dr = math.sqrt(dx**2+dy**2)
D = x1*y2 - x2*y1
xr1 = (D*dy+np.sign(dy)*dx*math.sqrt(r**2*dr**2-D**2))/dr**2
yr1 = (-D*dx+abs(dy)*math.sqrt(r**2*dr*... | silvasta/centerLine | src/tools/annotation/firstCircleAnnotation.py | firstCircleAnnotation.py | py | 1,827 | python | en | code | 0 | github-code | 90 |
42222433505 | # Desafio 037 - Escreva um programa que
# leia um número inteiro qualquer e peça
# para o usuário escolher qual será a base
# de conversão:
#
# 1 para binário;
# 2 para octal;
# 3 para hexadecimal.
n = int(input('Digite um numero inteiro qualquer\n:'))
escolha = int(input('Me informe a conversão que deseja fazer\n'
... | jhownny/CursoEmVideoPython | CursoEmVideo-Python/PythonExercicios/Atividade de 31 a 40/ex037.py | ex037.py | py | 813 | python | pt | code | 1 | github-code | 90 |
32518048604 | from timeit import timeit
code1 = """
def calculate_xfactor(age):
if age <= 0:
raise ValueError("Age cannot be 0 or less.")
try:
calculate_xfactor(-1)
except ValueError as error:
pass
"""
print(timeit(code1, number=10000))
try:
age = int(input("Age: "))
xfactor = 10 / age
except (Value... | bednarczyk/python-practice | Practice/exceptions.py | exceptions.py | py | 496 | python | en | code | 0 | github-code | 90 |
9189273862 | #!/usr/bin/env python
import os
import numpy as np
from ase import Atoms
from ase.io import read, write
from aimdprobe.init_data import init_data, get_raw_traj
from aimdprobe.structure_probe.probe_surface_waters import get_adsorbed_h2o
from aimdprobe.useful_functions import get_cumulative_avg
if __name__ == "__main__... | tjunewson/AIMDprobe | scripts/plot_surface_waters.py | plot_surface_waters.py | py | 1,492 | python | en | code | 4 | github-code | 90 |
39159257881 | #-*- coding: UTF-8 -*-
import common
from templates import default
from templates import combination
logger = common.getLogger(__name__)
def isSupport(soup):
"""indicate if the resume is from zhilian
@return true : false"""
return soup.head is not None and soup.head.title is not None and soup.head.... | yangyraaron/resumeanalysis | zhilian/zlFilter.py | zlFilter.py | py | 791 | python | en | code | 2 | github-code | 90 |
19092460360 | #coding:utf-8
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup
from urllib.parse import urljoin
import time
def getMoriHpNewsList(base_url):
print('## webscrape')
# driver = makeDriver(base_url)
print('## driver make ok')
print('## dr... | meganeJPN/python-web-scrape-twitter-bot | lambda/webscrape.py | webscrape.py | py | 2,041 | python | en | code | 1 | github-code | 90 |
5261575188 |
class MyLinkedList:
class Node:
def __init__(self,val = 0,next = None):
self.data = val
self.next = next
def __init__(self):
self.head = None
def isEmpty(self):
return self.head == None
def size(self):
tmp = self.head
cnt = ... | ShubhamSinghal12/PythonDSAClassroomApril2022 | Lec30/MyLinkedList.py | MyLinkedList.py | py | 8,298 | python | en | code | 1 | github-code | 90 |
86592232594 | import logging.config
from typhoon.core.logger import setup_logging
config = """
version: 1
root:
level: INFO
handlers: [console]
handlers:
console:
class: logging.StreamHandler
level: INFO
stream: ext://sys.stderr
"""
def test_logging_config(monkeypatch, tmp_path, capsys):
(tmp_path / 'logger... | typhoon-data-org/typhoon-orchestrator | tests/unit/logging_test.py | logging_test.py | py | 539 | python | en | code | 29 | github-code | 90 |
5721191277 | import sys
text = sys.stdin.read()
test_data = text.splitlines()
for t in test_data[1:]:
a, b ,c ,d = map(int , t.split(','))
for i in range(0, a):
if b * i + c * (a-i) == d:
print(f'{i},{a-i}') | lalalalaluk/python-lesson-ans | ntub/10312.py | 10312.py | py | 211 | python | en | code | 0 | github-code | 90 |
41036823928 | """The tasks API."""
from __future__ import annotations
from typing import Dict, List, Optional, Union
import validators # type: ignore # does not have types
from pydantic import BaseModel, root_validator, validator
from tenacity import RetryError
from . import FailedRequestError, _send_request
SANDBOX_URL = "htt... | IceBotYT/pynoonlight | src/pynoonlight/tasks.py | tasks.py | py | 5,916 | python | en | code | 1 | github-code | 90 |
9776578870 | import cv2
import numpy as np
img = cv2.imread('Image/Elon_Musk_1.jpg')
print(img.shape)
imgResize = cv2.resize(img, (480, 640))
imgCropped = img[0:200,200:500]
cv2.imshow('img', img)
cv2.imshow('imgResize', imgResize)
cv2.imshow('imgCropped', imgCropped)
cv2.waitKey(0)
cv2.destroyAllWindows() | shudeath/DATN | DATN/Face_recognition/Learned/L_Resize.py | L_Resize.py | py | 299 | python | en | code | 0 | github-code | 90 |
75166961256 | from xgboost import XGBClassifier, XGBRegressor
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
import numpy as np
from sklearn.feature_selection import SelectFromModel
from sklearn.metrics import r2_score, accuracy_score
x, y = load_boston(return_X_y=True) # 데이터 바로 가져오기
... | lynhyul/AIA | ml/m43_SelectFromModel.py | m43_SelectFromModel.py | py | 2,168 | python | en | code | 3 | github-code | 90 |
30139970243 | # -*- coding: utf-8 -*-
class ChannelService(object):
def __init__(self):
pass
def issueChannelToken(self, channelId="1341209950"):
#sqrd = self.DummyProtocol("issueChannelToken", 3, {
# 1: (11, channelId)
#}).read()
sqrd = [128, 1, 0, 1] + self.getStringByt... | alipbudiman/CHRLINE | CHRLINE/services/ChannelService.py | ChannelService.py | py | 2,643 | python | en | code | null | github-code | 90 |
10203500621 | # -*- coding: utf-8 -*-
import tornado.web
from constant.error import const
from constant.tag import const
from utility import auth, util
from utility.msg_pb2 import *
from model import user_data, global_data
class LibaoHandler(tornado.web.RequestHandler):
@auth.authenticated
def post(self, cmsg):
if ... | RickyTong1024/mario | trunk/soft/server/server/server/handler/huodong/libao_handler.py | libao_handler.py | py | 1,884 | python | en | code | 0 | github-code | 90 |
18068135336 | from flask import Flask
import pandas as pd
from skFunctions import cleaner, sankeyData, nodeNames, sankeyDiagram
from skFunctions import smallMultiples
import dash
import dash_core_components as dcc
import dash_html_components as html
import base64
server = Flask(__name__)
# Dash app
app = dash.Dash(name='DockerTes... | kailukowiak/DATA608 | Assignment6/dash_app/app.py | app.py | py | 4,918 | python | en | code | 0 | github-code | 90 |
2878576814 | # -*- encoding: utf-8 -*-
'''
@File : 69. x 的平方根.py
@Time : 2020/04/22 09:48:50
@Author : windmzx
@Version : 1.0
@Desc : For leetcode template
'''
# here put the import lib
from typing import List
import math
class Solution:
def mySqrt(self, x: int) -> int:
if x==0 or x==1:
... | windmzx/pyleetcode | 69. x 的平方根.py | 69. x 的平方根.py | py | 625 | python | en | code | 0 | github-code | 90 |
26594773601 | # -*- coding: utf-8 -*-
from django.http import HttpResponse, Http404
from django.shortcuts import render, get_object_or_404, redirect
from mailinglist.models import MailingList
from mailinglist.forms import SubscribeForm
def index(request):
return HttpResponse('Ahoj Svet.\
Práve ste v ma... | ricco386/zaciname-s-djangom | konferencia/mailinglist/views.py | views.py | py | 1,058 | python | en | code | 5 | github-code | 90 |
70070842857 | def main():
# Import the library
import microdots as mdots
from microdots.mini_sequences import MNS, A1, A2
codec4x4 = mdots.AnotoCodec(
mns=MNS,
mns_order=4,
sns=[A1, A2],
pfactors=(3, 5),
delta_range=(1, 15),
)
print(len(MNS), len(A1), len(A2))
main... | cheind/py-microdots | examples/hello_mini.py | hello_mini.py | py | 323 | python | en | code | 4 | github-code | 90 |
17882718862 | import json
import boto3
from json2html import *
def lambda_handler(event, context):
region = ''
if(event["queryStringParameters"] is not None and 'region' in event["queryStringParameters"] and event["queryStringParameters"]["region"] is not None):
region = event["queryStringParameters"]["region"... | debongithub/ENIReporter | lambda_function.py | lambda_function.py | py | 3,417 | python | en | code | 0 | github-code | 90 |
21943507966 | import conf
from boltiot import Bolt
import json, time
mybolt = Bolt(conf.API_KEY, conf.DEVICE_ID)
def convert(sensor_value):
led_intensity= 255-(sensor_value*255/1024)
return led_intensity
while True:
print ("Reading Sensor Value")
response_ldr = mybolt.analogRead('A0')
data = json.loads(res... | Rajeswari525/Automatic-Light-Controller | light_automation.py | light_automation.py | py | 848 | python | en | code | 1 | github-code | 90 |
18443578639 | import numpy as np
n = int(input())
a = list(map(int,input().split()))
ans = a[0]
for i in range(1,len(a)):
ans = np.gcd(a[i],ans)
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03127/s059556444.py | s059556444.py | py | 149 | python | en | code | 0 | github-code | 90 |
2392797718 | from collections import deque
def math_operations(*args, **kwargs):
mapper = {
'a': lambda x, y: x + y,
's': lambda x, y: x - y,
'd': lambda x, y: x / y,
'm': lambda x, y: x * y
}
args = deque(args)
while args:
for key, value in kwargs.items():
if no... | grigor-stoyanov/PythonAdvanced | Exam_prep/math_operations.py | math_operations.py | py | 700 | python | en | code | 0 | github-code | 90 |
18003758259 | n = int(input())
a = list(map(int,input().split()))
S1 = 0
S2 = 0
#S1が奇数番目が正の場合、S2が偶数番目が負の場合
cnt1 = 0
cnt2 = 0
for i,num in enumerate(a):
S1 += num
if i % 2 == 0 and S1 <= 0:
cnt1 += 1 - S1
S1 = 1
if i % 2 != 0 and S1 >= 0:
cnt1 += 1 + S1
S1 = -1
S2 += num
if i % 2... | Aasthaengg/IBMdataset | Python_codes/p03739/s169626438.py | s169626438.py | py | 528 | python | en | code | 0 | github-code | 90 |
24552953227 | from helper import *
@TestInstance
def test_atan2():
atanarray = EUDArray(360)
for angle in EUDLoopRange(360):
x, y = f_lengthdir(1000, angle)
atanarray[angle] = f_atan2(y, x)
# Value of atan2 may vary by 1 due to rounding error.
# Here we check similarity.
test_assert(
"a... | phu54321/eudplib | tests/unittests/testmath.py | testmath.py | py | 470 | python | en | code | 13 | github-code | 90 |
36910425795 | import unittest
from pychoco.model import Model
class TestBoolsIntChanneling(unittest.TestCase):
def testBoolsIntChanneling1(self):
m = Model()
bools = m.boolvars(10)
intvar = m.intvar(0, 9)
m.bools_int_channeling(bools, intvar).post()
while m.get_solver().solve():
... | chocoteam/pychoco | tests/int_constraints/test_bools_int_channeling.py | test_bools_int_channeling.py | py | 859 | python | en | code | 9 | github-code | 90 |
42425353574 | """
https://codingbat.com/prob/p104029
"""
def stringClean(s):
if len(s) < 2:
return s
s = (s[0], "")[s[0] == s[1]] + s[1:]
return (s[0], "")[s[0] == s[1]]+stringClean(s[1:])
print(stringClean("hello"))
| vijay2930/HackerrankAndLeetcode | com/CodingBat/recursion-1/stringClean.py | stringClean.py | py | 227 | python | en | code | 0 | github-code | 90 |
25871290029 | ## Spherical subdivision
import math
import bpy,bmesh
import random
## spherical coordinates
anglesub = 100
Radius = .2
Iterations = 1000
Height = .0001
invthetainc = (anglesub/2*math.pi)
def distance(coord):
x,y,z = coord
return (x*x+y*y+z*z)**.5
def dotproduct(c1,c2):
x1,y1,z1 = c1
x2,y2,z2 = c2
... | christophermoverton/PyAIRPG | sphericalheightmap.py | sphericalheightmap.py | py | 8,257 | python | en | code | 0 | github-code | 90 |
18105558619 | def bubbleSort(A, N):
flag = 1
cnt = 0
while flag:
flag = 0
for j in range(N - 1, 0, -1):
if A[j] < A[j - 1]:
cnt += 1
A[j], A[j - 1] = A[j - 1], A[j]
flag = 1
print(*A)
print(cnt)
N = int(input())
A = list(map(int, input().... | Aasthaengg/IBMdataset | Python_codes/p02259/s227152819.py | s227152819.py | py | 347 | python | en | code | 0 | github-code | 90 |
40418766834 | from abc import ABCMeta, abstractmethod
import numpy as np
import scipy
import scipy.optimize as opt
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import RBF, ConstantKernel, WhiteKernel
from .acquisition_functions import expected_improvement
def constraints_all_s... | pjpollot/gp_sandbox | gp_sandbox/bayesian_optimization/models.py | models.py | py | 4,367 | python | en | code | 1 | github-code | 90 |
9085945580 | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 27 12:32:15 2019
@author: Guy Mcbride (Keysight)
@author: B.Ann (TU-Delft)
"""
import sys
import numpy as np
import logging
import matplotlib.pyplot as plt
log = logging.getLogger(__name__)
sys.path.append(r'C:\Program Files (x86)\Keysight\SD1\Libraries\Python')
import... | bann-01/Hardware-control | digitizer.py | digitizer.py | py | 3,523 | python | en | code | 0 | github-code | 90 |
1421000402 | # dumps() convert python object to json string
# dump() method is used for writing into json file
import json
dict = {
"id":1,
"name":"Tom",
"class":"10th"
}
json_object = json.dumps(dict,indent =4)
print(json_object) | AswathiMohan23/Python_Basics | json/python_json.py | python_json.py | py | 231 | python | en | code | 0 | github-code | 90 |
5260552991 | from environment.simulation import Simulation
class MazeSim(Simulation):
"""
A class to simulate an environment based on an Maze. Inherits the run()
function from the Simulation class.
"""
def __init__(self, model):
super().__init__(
model.state_names, ... | yyimingucl/Temporal-Gradient-Correction-in-RL | environment/maze_sim.py | maze_sim.py | py | 4,328 | python | en | code | 2 | github-code | 90 |
1790261928 | import base64
import os
import subprocess
import xlrd
import string
import json
from openpyxl import load_workbook,Workbook
import openpyxl as op
workingPath = ""
# 批量生成用来修改的html文件对应的txt文件，之后用下一个函数将.html后缀改为.txt。
#用来生成之前的记录在表格中的内容
def generateHtmlold():
f1 = open("/home/liu/桌面/gumtree_tmp/special_html/1.txt", ... | HighBe/SolidityWorm | test/function.py | function.py | py | 30,482 | python | zh | code | 0 | github-code | 90 |
18349148879 | m,d=map(int,input().split())
cnt=0
for i in range(1,m+1):
for j in range(1,d+1):
da=j%10
db=j//10
if da>=2 and db>=2:
if i==da*db:
cnt+=1
print(cnt) | Aasthaengg/IBMdataset | Python_codes/p02927/s039663546.py | s039663546.py | py | 204 | python | en | code | 0 | github-code | 90 |
2392192539 | ###===--- MesiSols NFT Minter ---===###
###===--- Imports ---===###
### General ###
import os, glob
from replit import db
import requests
import json
import re
### Algo API ###
from natsort import natsorted
from algosdk import mnemonic
from algosdk.v2client import algod
from algosdk.future.transaction import AssetCo... | dbchristenson/mesisols | minting/mint.py | mint.py | py | 4,332 | python | en | code | 2 | github-code | 90 |
15566806562 | """Chaneg name
Revision ID: c327b22bdc90
Revises: 2d36a1563a4b
Create Date: 2021-12-09 15:13:17.020567
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c327b22bdc90'
down_revision = '2d36a1563a4b'
branch_labels = None
depends_on = None
def upgrade():
# ##... | Sabuhi0/MyPortfolio | migrations/versions/c327b22bdc90_chaneg_name.py | c327b22bdc90_chaneg_name.py | py | 814 | python | en | code | 0 | github-code | 90 |
72764467177 | # This is a dice faking module
from random import randint
def roll(max):
r = randint(1, max)
return r
def roll_a_bunch(max, numOfDice=3):
rolls = []
for i in range(numOfDice):
rolls.append(roll(max))
return rolls
def roll_distro(max, numOfDice=3):
rolls = roll_a_bunch(max, numOfDice)... | PDXDevCampJuly/atifar | die/die.py | die.py | py | 624 | python | en | code | 0 | github-code | 90 |
10938529593 | from fluent.migratetb.helpers import TERM_REFERENCE
from fluent.migratetb.helpers import transforms_from
# This can't just be a straight up literal dict (eg: {"a":"b"}) because the
# validator fails... so make it a function call that returns a dict.. it works
about_replacements = dict(
{
"&brandShorterNam... | mozilla/releases-comm-central | python/l10n/tb_fluent_migrations/completed/bug_1816532_about_dialog_migration.py | bug_1816532_about_dialog_migration.py | py | 3,891 | python | en | code | 144 | github-code | 90 |
40573172911 | import logging
import os
import sys
from typing import Union
import colorlog
import colorlog.escape_codes
from trak._info import __version__
COLORLOG_FORMAT = '%(log_color)s%(bold)s%(levelname)s | %(asctime)s | %(name)s: %(thin)s%(message)s%(reset)s'
UNCOLORED_FORMAT = '%(levelname)s $(asctime)s %(name)s: %(message)s... | trakmod/trakmod | trak/internal/logs.py | logs.py | py | 1,029 | python | en | code | 3 | github-code | 90 |
33666888425 | """
Задача 8
Дан список кортежей
grades = [(‘Ann’, 9), (‘John’, 7), (‘Smith’, 5), (‘George’, 6)].
Вывести информацию об оценках по возрастанию в виде:
‘Hello Ann! Your grade is 9’
"""
# from operator import itemgetter
grades = [('Ann', 9), ('John', 7), ('Smith', 5), ('George', 6)]
# grades.sort(key=itemgetter(1))
# g... | AlesyaKovaleva/IT-Academy-tasks | tasks_4/tuple_8.py | tuple_8.py | py | 680 | python | en | code | 0 | github-code | 90 |
39835526409 | # -*- coding: utf-8 -*-
from xml.dom import ValidationErr
from odoo import api, fields, models
class Property(models.Model):
_name = 'realestate.property'
_description = 'Real Estate Property'
# Fields
name = fields.Char(string='Name', required=True)
description = fields.Text(string='Description... | AlejandroBelloIglesias/odoo-model-realstate | models/property.py | property.py | py | 4,409 | python | en | code | 0 | github-code | 90 |
18061854189 | import sys
read = sys.stdin.read
readline = sys.stdin.readline
readlines = sys.stdin.readlines
sys.setrecursionlimit(10 ** 9)
INF = 1 << 60
MOD = 1000000007
def main():
N, K, X, Y = map(int, read().split())
if N <= K:
ans = X * N
else:
ans = X * K + (N - K) * Y
print(ans)
retur... | Aasthaengg/IBMdataset | Python_codes/p04011/s177244822.py | s177244822.py | py | 362 | python | en | code | 0 | github-code | 90 |
46022182170 | import numpy as np
import pandas as pd
from sklearn.cluster import KMeans
import glob # 用来读取文件夹中的所有文件
from sklearn.preprocessing import StandardScaler
from scipy.spatial.distance import cdist
from fastdtw import fastdtw
# 定义读取bvh文件中手臂部分数据的函数
def read_arm_data(filename):
# 打开文件
with open(filename, 'r... | panda697196/ArmsClustering | armcluster.py | armcluster.py | py | 3,557 | python | zh | code | 0 | github-code | 90 |
21331624431 | import pyautogui as p #controle de mouse e teclado
#usar print(p.position()) para encontrar a posição do mouse
# p.sleep(tempo) para dar 2 segundos para posicionar o mouse
# p.sleep(2)
# print(p.position())
# p.moveTo(x=710, y=1056, duration=1)
# p.sleep(1)
# p.click(x=13, y=1068)
p.hotkey('win','r') #combinação de ... | qmclouca/RPAPython | Robot01.py | Robot01.py | py | 554 | python | pt | code | 0 | github-code | 90 |
18358050089 | import collections
N, M, P = [int(_) for _ in input().split()]
ABC = [[int(_) for _ in input().split()] for _ in range(M)]
cd = collections.defaultdict
Ga = cd(set)
Gb = cd(set)
G = []
ok = cd(int)
for a, b, c in ABC:
Ga[a].add(b)
Gb[b].add(a)
#dfs
for pair in [[1, Ga], [N, Gb]]:
S = pair
Gn = pair.pop(... | Aasthaengg/IBMdataset | Python_codes/p02949/s068138506.py | s068138506.py | py | 1,030 | python | en | code | 0 | github-code | 90 |
16151381216 | import json
import logging
import os
from collections import OrderedDict
import yaml
from timon.conf.grpby import cnvt_grpby_to_nested_dict
from timon.conf.grpby import cnvt_nested_grpby_to_lst_dict
logger = logging.getLogger(__name__)
# next two vars needed for ordering generated json
# order in which fields shal... | feenes/timon | timon/configure.py | configure.py | py | 8,885 | python | en | code | 0 | github-code | 90 |
31951004757 |
import json
import re
from terminaltables import AsciiTable
counts = {}
def do_inc(val):
global counts
if val in counts:
counts[val] = counts[val] + 1
else:
counts[val] = 1
with open('sbom-hashes.json') as fh:
rpt = json.load(fh)
for k in rpt.keys():
v = rpt[k]
... | mwhitecoverity/sbom-tools | sbom-hash-incidence.py | sbom-hash-incidence.py | py | 1,069 | python | en | code | 5 | github-code | 90 |
19858623398 | # main.py
import os
from config.logger_config import setup_logger
from input_module.epub import process_epub
from input_module.other import process_srt
# 配置日志
logger = setup_logger()
def main():
# 获取用户输入
epub_filename = r"test file/繁中调试文件.epub"
file_type = os.path.splitext(epub_filename)[1].lstrip('.').... | Hellohistory/Machine_Translation_ebook | main.py | main.py | py | 1,427 | python | zh | code | 3 | github-code | 90 |
26852806310 | import os
import sys
import shutil
import re
from datetime import datetime
import numpy as np
import pandas as pd
#import matplotlib.pyplot as plt
import yaml
from astropy.io import fits
from astropy.wcs import WCS
from shutil import which
set_type ='evaluation'
#set_type ='development_small'
#set_type= 'debug'
run_f... | jmoldon/verification_sdc2 | scripts/analysis.py | analysis.py | py | 14,308 | python | en | code | 0 | github-code | 90 |
72836187818 | import numpy as np
import os
import time
import h5py
import random
import matplotlib.pyplot as plt
import collections
import utils
def data_gen(config):
hdf5_file = h5py.File(config.val_file, mode='r')
audios = hdf5_file["waveform"]
if config.model=="spec":
act = hdf5_file["new_act"]
else:
... | aframires/drum-loop-synthesis | data_pipeline.py | data_pipeline.py | py | 1,804 | python | en | code | 20 | github-code | 90 |
18655445578 | #! /usr/bin/env python3
import os
from enum import Enum, auto
import numpy as np
import hebi
import rospy
from rospy.timer import TimerEvent
from nav_msgs.msg import Odometry
from microstrain_inertial_msgs.msg import FilterHeading
from geometry_msgs.msg import Twist, PoseStamped
from std_srvs.srv import Trigger, Trig... | HebiRobotics/environmental_robots | gps_navigation/scripts/routine_manager.py | routine_manager.py | py | 14,681 | python | en | code | 0 | github-code | 90 |
29881391230 | import sys
import heapq
from collections import defaultdict
def huffman_encoding(data):
if not data:
return "", {}
frequency = defaultdict(int)
for symbol in data:
frequency[symbol] += 1
if len(frequency) == 1:
tree = {symbol: '0' for symbol in frequency}
encoded_dat... | lleonardogr/EstruturasDeDadosEAlgoritimos | DataStructures/Lesson3.py | Lesson3.py | py | 3,856 | python | en | code | 0 | github-code | 90 |
22761962069 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import functools
import os
from dragon.vm import torch
from seetadet.core.config import cfg
from seetadet.core.engine.build import build_lr_scheduler
from seetadet.core.engine.build import ... | seetaresearch/seetadet | seetadet/core/engine/train_engine.py | train_engine.py | py | 5,896 | python | en | code | 1 | github-code | 90 |
17993248429 | HW = input().split()
H = int(HW[0])
W = int(HW[1])
lst = []
for i in range(H):
lst.append('#' + input() + '#')
print('#' * (W+2))
for s in lst:
print(s)
print('#' * (W+2)) | Aasthaengg/IBMdataset | Python_codes/p03712/s162628563.py | s162628563.py | py | 183 | python | en | code | 0 | github-code | 90 |
41948841519 | from flask import render_template,request,redirect,url_for
from . import main
from ..request import get_newsource,get_articles,search_article
from ..models import Source,Article
# Views
@main.route('/')
def index():
'''
View root page function that returns the index page and its data
'''
#Getting news... | Pixel-0/arg-news | app/main/views.py | views.py | py | 1,781 | python | en | code | 1 | github-code | 90 |
41771624328 | #!/usr/bin/python3
from json import loads, load, dumps
from sys import argv, exit
def error_handler(exit_on_error=True):
def decorator(func):
def main(*args, **kwargs):
try:
return func(*args, **kwargs)
except Exception as e:
print(f"Error : {e.args[... | Simatwa/cookie-hunter | main.py | main.py | py | 2,139 | python | en | code | 0 | github-code | 90 |
14012053658 | from dataclasses import dataclass
from typing import Dict, List, Optional
import torch
import torch.distributed as dist
from torch.distributed import ProcessGroup
from elixir.cuda import gpu_device
from elixir.parameter import FakeTensor
from .memory_pool import MemoryPool, PrivateBlock, PublicBlock, TensorBlock
fro... | hpcaitech/Elixir | elixir/chunk/core/chunk.py | chunk.py | py | 21,263 | python | en | code | 8 | github-code | 90 |
37479444259 | import numpy as np
import theano
import theano.tensor as T
import matplotlib.pyplot as plt
from sklearn.utils import shuffle
from util import relu, error_rate, getKaggleMNIST, init_weights
def T_shared_zeros_like32(p):
# p is a Theano shared itself
return theano.shared(np.zeros_like(p.get_value(), dtype=np.f... | RKorzeniowski/Lazy_programmer_projects | unsupervised_ml/my_autoencoder.py | my_autoencoder.py | py | 4,546 | python | en | code | 0 | github-code | 90 |
18815199297 | from spatula import HtmlPage, XPath
from openstates.models import ScrapeCommittee
import re
leader_re = re.compile(r"(.+),\s+(.*Chairman)")
class Committees(HtmlPage):
def process_page(self):
chamber = XPath(".//house//text()").match(self.root)[0]
committees = XPath(".//committee").match(self.ro... | openstates/openstates-scrapers | scrapers_next/ms/committees.py | committees.py | py | 1,494 | python | en | code | 820 | github-code | 90 |
18303655599 | import sys, re
from collections import deque, defaultdict, Counter
from math import ceil, sqrt, hypot, factorial, pi, sin, cos, radians
from itertools import accumulate, permutations, combinations, product
from operator import itemgetter, mul
from copy import deepcopy
from string import ascii_lowercase, ascii_uppercase... | Aasthaengg/IBMdataset | Python_codes/p02834/s668196214.py | s668196214.py | py | 1,532 | python | en | code | 0 | github-code | 90 |
13648863460 | # coding:utf-8
import jieba
import xlrd
import numpy as np
import re
import string
#(Begin), I 表示内部(inside), O 表示外部(outside), E 表示这个词处于一个实体的结束为止， S 表示，这个词是自己就可以组成一个实体(Single)
def Creat_Txt():
f=open('../资料/全部/jieba_data.txt','a+',encoding='utf-8')
return f
def Add():
print("添加字典进入jieba\n--------")
# 将字典添加到jieba
... | srx-2000/traditional_Chinese_medicine | 实体标注/伪_实体标注.py | 伪_实体标注.py | py | 9,547 | python | en | code | 69 | github-code | 90 |
17990757489 | import sys
sys.setrecursionlimit(2147483647)
INF=float("inf")
MOD=10**9+7
input=lambda :sys.stdin.readline().rstrip()
def bisection(l,r,f,left=True,discrete=True):
eps=1 if discrete else 10**-12
if((not left)^f(r)): return r if left else r+1
elif(left^f(l)): return l-1 if left else l
while(r-l>eps):
... | Aasthaengg/IBMdataset | Python_codes/p03700/s079932158.py | s079932158.py | py | 774 | python | en | code | 0 | github-code | 90 |
18107750969 | n = int(input())
*s1, = input().split()
s2 = s1[:]
def bubbleSort(s):
flag = True
while flag:
flag = False
for i in range(n-1):
if int(s[i][1]) > int(s[i+1][1]):
s[i],s[i+1] = s[i+1],s[i]
flag = True
return s
def selectionSort(s):
for i in ra... | Aasthaengg/IBMdataset | Python_codes/p02261/s905976896.py | s905976896.py | py | 645 | python | en | code | 0 | github-code | 90 |
29450560909 | #!/usr/bin/env python
from parseTweet import parse_tweets
from operator import itemgetter
import helper
from collections import defaultdict
"""
makes the various chunks, depending on number of chunks K
"""
def makeChunks(trainingExList, K):
numChunk = (len(trainingExList) / K)+1
dictChunk = []
chunkCounte... | dyelsey/SemEval | crossval.py | crossval.py | py | 1,591 | python | en | code | 0 | github-code | 90 |
44354538268 | #!/usr/bin/python3
import pprint
import time
from datetime import datetime, date, timedelta
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
#############
## Globals ##
#############
pp =... | ZeGhost/test-support-calendar | test.py | test.py | py | 8,526 | python | en | code | 0 | github-code | 90 |
575406817 | import models
import schemas
from typing import List
from database import engine, SessionLocal
from fastapi import FastAPI, Depends, status, Response, HTTPException
from sqlalchemy.orm import Session
from Hashing import Hash
app = FastAPI()
models.Base.metadata.create_all(bind=engine)
def get_db():
db = Session... | Pratik180198/fast-api-demo | New Project/demo.py | demo.py | py | 2,871 | python | en | code | 0 | github-code | 90 |
22811406879 | from synthnet import *
from simulation import *
from detcom import *
import matplotlib.pyplot as plt
import numpy as np
from networkx.generators.community import LFR_benchmark_graph
def af(G):
G = add_feature_vector(G, [('uniform', (0, 1))]*5)
def av(G, l=0, u=1):
G = add_vulnerability_of_node(G, 'uniform', l... | sagalpreet/Evolution-of-Clusters | Code/usagsp.py | usagsp.py | py | 2,125 | python | en | code | 3 | github-code | 90 |
15212740603 | import os
from waflib import Logs, Utils, Options, TaskGen, Task
from waflib.Errors import WafError
import wutils
def options(opt):
opt = opt.add_option_group ('ccnSIM Options')
opt.add_option('--enable-ccn-plugins',
help="""Enable CCN plugins (may require patching). topology plugin enable... | chris-wood/SCoNet | ns-3-dev/src/ccnSIM/wscript | wscript | 12,022 | python | en | code | 0 | github-code | 90 | |
42106072020 | import random
print("Let's play Rock Paper Scissors!")
play_again = "Y"
options = ['r','p','s']
options_dict = {'r':'rock', 'p':'paper', 's':'scissors'}
conditions_dict = {'r': 1, 'p': 2, 's': 3}
user_win_count = 0
computer_win_count = 0
#loop back here
while play_again == "Y" or play_again == "y":
selection = inp... | DenverSherman/terminal_games | rock_paper_scissors/rock_paper_scissors.py | rock_paper_scissors.py | py | 1,210 | python | en | code | 0 | github-code | 90 |
6242569695 | from os import name
from seaborn.matrix import heatmap
import streamlit as st
import numpy as np
import pandas as pd
import pydeck as pdk
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import prep... | sidharrth2002/covid-streamlit-2 | pages/Classification.py | Classification.py | py | 20,753 | python | en | code | 2 | github-code | 90 |
13025006643 | # STATEMENT: https://www.codingame.com/training/medium/the-grand-festival---i
import sys
import math
# Total prize starting on day d with rest r.
def prize(d,r):
if(d == N):
return 0
if(r == 0):
return prize(d+1,R)
if memo[d+1][R] == -1:
prize_excluded = prize(d+1,R)
m... | gabrielrodcanal/codingame-sols | grand-festival-i.py | grand-festival-i.py | py | 893 | python | en | code | 1 | github-code | 90 |
6316396741 | import keras.backend as K
from utils import data_generator
from tcn import tcn
def get_activations(model, model_inputs, print_shape_only=False, layer_name=None):
print('----- activations -----')
activations = []
inp = model.input
model_multi_inputs_cond = True
if not isinstance(inp, list):
... | cxz/keras-tcn | mnist_pixel/main.py | main.py | py | 2,584 | python | en | code | null | github-code | 90 |
74736464937 | import os,time
pid = os.getpid()
import pyjit
#os.chdir("C:\\Dev\\PyJit\\buildtest")
srcs=["helloworld.cpp"]
#srcs=["*.cpp>[cppcompiler.cpp,buildsystem.cpp]"]
src =pyjit.expand(srcs)
target_name ="hello_pyjit"
output_dir ="."
target_type ="exe"
target_lang = "c++"
m1 = [("YAML_CPP_STATIC_DEFINE",None),("WIN32",1)]
... | Galaxy3DVision-Inc/PyJit | buildtest/simple.py | simple.py | py | 1,024 | python | en | code | 0 | github-code | 90 |
46181072400 | """Paranthesis checker."""
from stack import Stack
def paranthesis_checker(symbol_string):
"""Paranthesis checker."""
s = Stack()
is_balanced = True
index = 0
# Navigate character by character through the symbol_string.
while index < len(symbol_string) and is_balanced:
symbol = symbol_... | dhanraju/python | data_structures/probl_sol_with_algs_and_ds/ch03_basic_ds/paranthesis_checker.py | paranthesis_checker.py | py | 1,618 | python | en | code | 0 | github-code | 90 |
13000161809 | ones = {
0: "",
1: "one",
2: "two",
3: "three",
4: "four",
5: "five",
6: "six",
7: "seven",
8: "eight",
9: "nine"
}
teens = {
0: "ten",
1: "eleven",
2: "twelve",
3: "thirteen",
4: "fourteen",
5: "fifteen",
6: "sixteen",
7: "seventeen",
8: "eigh... | jwmortensen/project-euler | 017/num_to_text.py | num_to_text.py | py | 1,013 | python | en | code | 0 | github-code | 90 |
17939534428 | from typing import List, Tuple
import numpy as np
import pandas as pd
NUMERIC_DTYPES = [
np.float64,
np.float32,
np.float16,
np.int64,
np.int32,
np.int16,
np.int8,
np.uint8,
np.uint16,
np.uint32,
np.uint64,
np.complex64,
np.complex128,
]
def split_columns_types(da... | octopize/avatar-python | avatars/lib/split_columns_types.py | split_columns_types.py | py | 931 | python | en | code | 1 | github-code | 90 |
71546438377 | for _ in range(int(input())):
s=input()
arr=[0]*257
ans=""
for i in range(len(s)):
ind=ord(s[i])
if(arr[ind]==0):
arr[ind]=1
ans+=s[i]
print(ans) | anirudhkannanvp/GeeksForGeeksSolutions | remove-duplicates.py | remove-duplicates.py | py | 205 | python | en | code | 0 | github-code | 90 |
18212749739 | import sys
#入力する名前S
S = input()
#新しいID T
T = input()
#print(S)
#print(type(S))
#print(T)
#print(type(T))
if S == T[:-1]:
print("Yes")
sys.exit()
else:
print("No") | Aasthaengg/IBMdataset | Python_codes/p02681/s035110291.py | s035110291.py | py | 196 | python | ja | code | 0 | github-code | 90 |
25958502434 | import node
node1 = node.Node("John")
print(node1.get_name())
print(node1.get_next())
node2 = node.Node("Krish")
node1.set_next(node2)
print(node1.get_next().get_name())
node3 = node.Node("Anything")
node2.set_next(node3)
print("while loop")
new_node_list = []
n = node1
while n is not None:
print(n.get_name(... | krishras23/WebApp | testnode.py | testnode.py | py | 474 | python | en | code | 0 | github-code | 90 |
14796108109 | import os, random, torch
import argparse
import multiprocessing as mp
import numpy as np
import pickle
import shutil
from functools import partial
import lmdb
from tqdm.auto import tqdm
from utils.data import PDBProtein, parse_sdf_file
from scripts.binana_script.detect_interactions import run_binana_command
AA_NAME_SY... | zephyrdhb/InterDiff | scripts/data_preparation/extract_pockets_prompts.py | extract_pockets_prompts.py | py | 8,008 | python | en | code | 3 | github-code | 90 |
23175961141 | import asyncio
from bergen.registries.ward import get_ward_registry
from bergen.wards.default import MainWard
from bergen.config.types import ArkitektConfig, HerreConfig
from bergen.schemas.herre.types import User
from bergen.schema import Transcript
from bergen.hookable.base import Hooks
from pydantic.main impo... | jhnnsrs/bergen | bergen/clients/base.py | base.py | py | 12,589 | python | en | code | 0 | github-code | 90 |
8131651935 | import streamlit as st
import os
def set_page_title(title):
st.sidebar.markdown(unsafe_allow_html=True, body=f"""
<iframe height=0 srcdoc="<script>
const title = window.parent.document.querySelector('title') \
const oldObserver = window.parent.titleObserver
if (oldObse... | cnsdqd-dyb/Yubo_Dong_Work_Share_Platform | scripts/st_temp_scripts.py | st_temp_scripts.py | py | 1,332 | python | en | code | 0 | github-code | 90 |
32888160254 | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 18 17:33:58 2020
@author: Cheng Rong
"""
import numpy as np
import xlrd
import import_data
data=import_data.import_data()
import assignment
from assignment.assign import *
from assignment.line import *
from assignment.graph import *
import random
import copy
import time
... | hkujy/HHbike | enumeration.py | enumeration.py | py | 11,146 | python | en | code | 0 | github-code | 90 |
18158169639 | #!/usr/bin/python3
#coding: utf-8
S = int(input())
memo = {}
def rec(n):
if n < 3:
return 0
ret = 1
if n in memo:
return memo[n]
for i in range(n-3):
ret += rec(n-3-i)
ret %= 10**9 + 7
memo[n] = ret
return ret
print(rec(S)) | Aasthaengg/IBMdataset | Python_codes/p02555/s452158188.py | s452158188.py | py | 284 | python | en | code | 0 | github-code | 90 |
12181651376 | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 18 23:17:29 2021
@author: Harshu
"""
import requests
url = 'http://localhost:5000/results'
r = requests.post(url)
print(r.json())
#json={'rate':5, 'sales_in_first_month':200, 'sales_in_second_month':400 | Harshu2032000/Loan-prediction-web-app | request.py | request.py | py | 266 | python | en | code | 0 | github-code | 90 |
18306380569 | import numpy as np
N=int(input())
A=np.array([int(x) for x in input().split()])
ans=0
M=pow(10,9)+7
for i in range(100):
one=int(np.sum((A>>i)&1))
zero=N-one
ans+=(one*zero)*pow(2,i)
ans%=M
#print(one,zero)
print(ans) | Aasthaengg/IBMdataset | Python_codes/p02838/s066560585.py | s066560585.py | py | 229 | python | en | code | 0 | github-code | 90 |
21897323280 | import ecmcJinja2
import ecmcAxes
def main():
"""
render axis configuration to `cli.outFile` based on yaml-config `cli.cfgFile`
The script will lint the input and validate the axis against the configured type
In case a PLC is defined within the axis config, the PLC will be validated and added to the p... | paulscherrerinstitute/ecmccfg | scripts/jinja2/axisYamlJinja2.py | axisYamlJinja2.py | py | 550 | python | en | code | 6 | github-code | 90 |
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