seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
70949272298 | """This script will implement the leitner algorithm for sorting flashcards.
It includes 3 pre-build instances of CardBox (levels 1-3)
"""
from models import session, User, Deck, Flashcard, CardBox, MAXLEVEL
from models import loglevel
import logging
import re
from datetime import datetime
logger = logging.getLogger... | luisnaranjo733/flashcards | flashcards/flashcards.py | flashcards.py | py | 2,776 | python | en | code | 2 | github-code | 90 |
12304971582 | import ctypes
class DynamicArray(object):
def __init__(self):
self.n = 0 # count of elements in array
self.capacity = 1 # max elements
self.A_arr = self.make_array(self.capacity) # creates an array with a cap of 1
def __len__(self):
'''Returns n number of elements stored in arr... | andrewbrase/completed_projects | 11_Dynamic_array_project/dynamic_arr.py | dynamic_arr.py | py | 2,334 | python | en | code | 0 | github-code | 90 |
27159124836 | import cv2 as cv #Khai báo thư viện OpenCV
import numpy as np #Thư viện tính toán chuyên dụng dùng cho ma trận
from PIL import Image #Thư viện xử lý ảnh PILLOW hỗ trợ nhiều định dạng ảnh
import math
#Khai báo đường dẫn filehinh
filehinh = r'lena.jpg'
#Đọc ảnh màu dùng thư viện OpenCV được mã hóa thành ma trậ... | NguyenHoang127/Image_Processing | Project XLA Python/XLA14_Gray_Image_Edge_Detection.py | XLA14_Gray_Image_Edge_Detection.py | py | 3,203 | python | vi | code | 0 | github-code | 90 |
18267114639 | def calc_comb(n,r):
numerator=1
for i in range(n-r+1,n+1):
numerator=(numerator*i)%mod
denominator=1
for i in range(1,r+1):
denominator=(denominator*i)%mod
return (numerator*pow(denominator,mod-2,mod))%mod
n,a,b=map(int,input().split())
mod=1000000007
print((pow(2,n,mod)-1-calc_comb(... | Aasthaengg/IBMdataset | Python_codes/p02768/s418726511.py | s418726511.py | py | 351 | python | en | code | 0 | github-code | 90 |
39773244843 | import loadfile as lf
import numpy as np
import pymysql
import os
def get_table(attribute) :
if attribute.startswith('p_') :
return 'part'
elif attribute.startswith('ps_') :
return 'partsupp'
elif attribute.startswith('s_') :
return 'supplier'
elif attribute.startswith('c_') :
... | dsolh/BEA-Project | calculate_cost.py | calculate_cost.py | py | 7,061 | python | en | code | 0 | github-code | 90 |
43395273423 | #Implement k-means in own way
#define it as a class
#repeat n number of times.
#n_clusters already known. pick a random point - the second the most distant from it.
#and so on.
#implement the algorithm. 'k-means' or 'k-medians'
import numpy as np
from scipy.spatial.distance import cdist
import pandas as pd
import tim... | nbodapati/C-Python-Coding- | Caltech_10kWebFaces/Kmeans.py | Kmeans.py | py | 3,549 | python | en | code | 0 | github-code | 90 |
21362274213 | from qcloudsms_py import TtsVoiceSender
from qcloudsms_py.httpclient import HTTPError
import config
def callPhone(params, phoneList):
global result
tvsender = TtsVoiceSender(config.appid, config.appkey)
try:
for phone in phoneList:
print(phone)
print(params)
res... | SummerQiuye/devops-api | alert/module/sendTelAlert.py | sendTelAlert.py | py | 556 | python | en | code | 3 | github-code | 90 |
32756788726 | from typing import List
class Solution:
def findJudge(self, n: int, trust: List[List[int]]) -> int:
others = list(map(lambda x : x[0], trust))
trusted = list(map(lambda x : x[1], trust))
a = [0 for _ in range(0,n+1)]
for i in trusted:
a[i] += 1
for i in range(1, ... | Ansore/LeetcodeSolutions | 997.find-the-town-judge/main.py | main.py | py | 641 | python | en | code | 0 | github-code | 90 |
16363799758 | import logging
import threading
import time
from absl import flags as gflags
FLAGS = gflags.FLAGS
gflags.DEFINE_integer("probe_frequency_secs", 10*60,
"How often to probe the logs for updates")
from ct.client import async_log_client
from ct.client import monitor
from ct.client import state
fro... | google/certificate-transparency | python/ct/client/prober.py | prober.py | py | 5,305 | python | en | code | 862 | github-code | 90 |
28136493300 |
#will be creating countdown where input will be provided by the user.
# and when the countdown finish message will appear
# import the time module
import time
# define the countdown func.
def countdown(t):
while t:
mins, secs = divmod(t, 60)
timer = '{:02d}:{:02d}'.format(mins, secs)
... | rassh15/Python_practice | InterMediateProj.py/timer.py | timer.py | py | 521 | python | en | code | 0 | github-code | 90 |
3536244159 | """Module containing classes that pertain to forming an HTTP response."""
import eupheme.cookies
STATUS_OK = '200 OK'
class HttpException(Exception):
"""Base class for exceptions that may occur while processing a request."""
status = None
def __init__(self, headers=None):
self.headers = header... | Parnassos/Eupheme | eupheme/response.py | response.py | py | 4,430 | python | en | code | 0 | github-code | 90 |
19341990133 | from django.urls import path
from second_app.views import index,user,form_detail_view
urlpatterns = [
path('index/',index,name='index'),
path('users/',user,name='user'),
path('form-details/',form_detail_view,name='form-details')
] | SIVAGOPIREDDY/First_project | PycharmProjects/first_project/second_app/urls.py | urls.py | py | 245 | python | en | code | 0 | github-code | 90 |
23817009500 | import models
from flask import Blueprint, request, jsonify
from playhouse.shortcuts import model_to_dict
dogs = Blueprint('dogs', 'dogs')
@dogs.route('', methods=['GET'])
def dogs_index():
result = models.Dog.select()
print("")
print('result of dog select query')
print(result) #hmm looks like SQL
... | am852410/dog-app-back-end | resources/dogs.py | dogs.py | py | 1,140 | python | en | code | 0 | github-code | 90 |
33198153159 | # https://www.w3resource.com/python-exercises/python-basic-exercise-36.php
# Python: Add two objects if both objects are an integer type
def sum_numbers(a,b):
if not (isinstance(a,int) and isinstance(b, int)):
return "Error: Inputs must be integers!"
return a + b
n1 = input("Enter First No.:\n")
prin... | Vishvendra-panwar/Python-Practice | 002.W3resource.Python.Excersies/036.Python.Basic.36.integer.sum.py | 036.Python.Basic.36.integer.sum.py | py | 410 | python | en | code | 0 | github-code | 90 |
73206516778 | #!/usr/bin/env python
import rospy
import sys
from std_msgs.msg import Int32
from std_msgs.msg import Bool
# takes in the data
def callback(data):
rospy.loginfo(data.data)
# parameters specify the data that is returned
# Sensor = distance, Trigger = True / Flase
def listener(argv):
rospy.init_node('listener', ... | lasseaeggen/SiNRI | sensor/sensor.py | sensor.py | py | 698 | python | en | code | 1 | github-code | 90 |
8688484548 | from spider_runner_base import SpiderRunnerBase
# ! Do not delete these !
import sys
from utils.helpers.arg_helper import ArgHelper
"""
This file is main entry point and is responsible of running spider(s).
This is actually CrawlerKing runner that decides which spider(s) must be run with what parameters
based on user-p... | codeworm47/CrawlerKing | run.py | run.py | py | 1,781 | python | en | code | 0 | github-code | 90 |
44011149008 | from tree import Node
def lowest_common_ancestor_helper(node1, node2, currentNode):
if node1==node2:
return 2, node1
numFound = 0
if currentNode.left:
lNumFound,lNode = lowest_common_ancestor_helper(node1,node2,currentNode.left)
if lNumFound == 2:
return 2, lNode
... | mffoley/LowestCommonAncestor | Python/LCA.py | LCA.py | py | 1,166 | python | en | code | 0 | github-code | 90 |
38945429776 | from celery import shared_task
from django.core.mail import send_mail
from django.conf import settings
from useraccount.models import User
@shared_task(bind=True)
def fun(self):
# operations
print("You are in Fun function")
return "done"
@shared_task(bind=True)
def send_mail_func(self):
users=User.ob... | shammas01/E-learning | live/tasks.py | tasks.py | py | 719 | python | en | code | 0 | github-code | 90 |
71605024936 | from djongo import models
from django import forms
# Create your models here.
class Booth(models.Model):
_id = models.ObjectIdField()
name = models.TextField()
club = models.TextField()
message = models.TextField()
code = models.TextField()
busy = models.IntegerField()
objects = models.Djo... | dshslife/club_festival | main/models.py | models.py | py | 750 | python | en | code | 0 | github-code | 90 |
11164473453 | from ast import Delete
from multiprocessing import parent_process
from textwrap import fill
from tkinter import*
from PIL import Image,ImageTk #pip install pillow
from tkinter import ttk ,messagebox
import sqlite3
class supplierClass:
def __init__(self,root):
self.root=root
self.root.geometry("1100x50... | hakim4545/SmartMart- | supplier.py | supplier.py | py | 8,928 | python | en | code | 0 | github-code | 90 |
33376099357 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class Decoder(nn.Module):
def __init__(self, cfg):
super(Decoder, self).__init__()
in_ch = cfg.color_in_ch
feat_ch = cfg.hidden_ch
self.color_net = nn.Sequential(
nn.utils.weight_norm(... | snap-research/edit3d | models/colorsdf_mlp9.py | colorsdf_mlp9.py | py | 808 | python | en | code | 23 | github-code | 90 |
18371943939 | L,R=map(int,input().split())
min_val = 2019
flag = 1
for i in range(L, min(R,L+2019-1), 1):
for j in range(i+1, min(R+1,L+2019), 1):
tmp = (i*(j)) % 2019
if tmp == 0:
flag = 0
break
elif tmp < min_val:
min_val = tmp
if flag == 0:
break
if flag == 0:
print(0)
else:
print(min_va... | Aasthaengg/IBMdataset | Python_codes/p02983/s298639104.py | s298639104.py | py | 322 | python | en | code | 0 | github-code | 90 |
6489148542 | # -*- coding: utf-8 -*-
"""
Utils for creating bodies neral netowrks
"""
from utils.network_utils import *
class FCBody(nn.Module):
def __init__(self, state_dim, hidden_units = (128, 128, 64), function_unit = F.relu):
# initializes the parent class object into the child class
... | onginas/SDPG-Agent | utils/network_body.py | network_body.py | py | 2,924 | python | en | code | 0 | github-code | 90 |
6556215776 | from .pages.product_page import ProductPage
import pytest
link = "http://selenium1py.pythonanywhere.com/catalogue/coders-at-work_207/"
@pytest.mark.xfail(reason="Всё окей, сообщение должно быть")
def test_guest_cant_see_success_message_after_adding_product_to_basket(browser):
page = ProductPage(browser, link)
... | NateSparkheart/SeleniumCourseFinalProject | test_product_page_negative.py | test_product_page_negative.py | py | 907 | python | en | code | 0 | github-code | 90 |
8220322255 | import os
import copy
from datetime import datetime
import numpy as np
import pandas as pd
import utils
from gift import Gift
from bag import Bag
class SolutionCandidate:
def __init__(self, gift_weight_init_method, gift_type_amounts,
n_observations_to_evaluate_solution, warm_start_path=None):
... | tuomastik/kaggle_christmas_2016 | solution_candidate.py | solution_candidate.py | py | 8,905 | python | en | code | 0 | github-code | 90 |
18428199909 | import sys
from bisect import *
from heapq import *
from collections import *
from itertools import *
from functools import *
from math import *
from fractions import *
sys.setrecursionlimit(100000000)
input = lambda: sys.stdin.readline().rstrip()
def main():
N = int(input())
states = [s + t + u for s in 'ACG... | Aasthaengg/IBMdataset | Python_codes/p03088/s016685790.py | s016685790.py | py | 1,242 | python | en | code | 0 | github-code | 90 |
15684130828 | #!/usr/bin/env python3
import rospy
from geometry_msgs.msg import PoseStamped
from helpers.ros_globals import *
import tf
################################################################################
## Frames transforms global broadcaster.
## This centralizes transforms publishment to avoid extrapolation issues
... | Lukerrr/eaglex | eagle/scripts/framework/tf_manager.py | tf_manager.py | py | 1,900 | python | en | code | 0 | github-code | 90 |
24659283549 | # -*- coding:utf8 -*-
import pickle as pkl
import numpy as np
from sklearn.decomposition import PCA
from sklearn.feature_extraction.text import TfidfVectorizer
import text_helpers
from nltk.corpus import stopwords
import os
import tensorflow as tf
freq_table_path = 'movie_vocab_freq.pkl'
word_dict_path = ... | shillyshallysxy/Learning_NLP | Sentence2Vec/sentence2vec.py | sentence2vec.py | py | 8,447 | python | en | code | 37 | github-code | 90 |
12563214352 | # Author: Dominik Bauer
# Vision for Robotics Group, Automation and Control Institute (ACIN)
# TU Wien, Vienna
import numpy as np
import numpy.ma as ma
from scipy.spatial.transform.rotation import Rotation
import torch
import torch.nn.parallel
import torch.utils.data
from torch.autograd import Variable
import torchvis... | v4r-tuwien/verefine_pipeline | src/verefine/densefusion/densefusion.py | densefusion.py | py | 6,872 | python | en | code | 0 | github-code | 90 |
17065480876 | import argparse
import csv
import datetime
import logging
from openpyxl import Workbook
from openpyxl.utils.exceptions import IllegalCharacterError
import os
import requests
import shutil
import subprocess
import time
import win32api
import zipfile
def get_current_time_as_string():
return datetime.datetime.now().... | michaeltneuman/neuforensics_imageparser | PARSER_20230413/main.py | main.py | py | 28,317 | python | en | code | 0 | github-code | 90 |
13461386515 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
import re
US_STATES = [
"AL",
"AK",
"AZ",
"AR",
"CA",
"CO",
"CT",
"DE",
"FL",
"GA",
"HI",
"ID",
"IL",
"IN",
"IA",
"KS",
"KY",
"LA",
"ME",
"MD",
... | jdaniel0x50/coding-dojo-teaching-Python | 03_Django/demo_proj/dojos/apps/dojo_app/models.py | models.py | py | 2,953 | python | en | code | 0 | github-code | 90 |
18065714339 | n = int(input())
ai = [int(input()) for i in range(n)]
ans = 0
nokori = 0
for i in range(n):
if ai[i] % 2 == 1:
if nokori == 1:
nokori = 0
ans += ai[i] // 2 + 1
else:
nokori = 1
ans += ai[i] // 2
elif ai[i] > 0:
if nokori == 1:
... | Aasthaengg/IBMdataset | Python_codes/p04020/s982721619.py | s982721619.py | py | 481 | python | en | code | 0 | github-code | 90 |
18417187049 | n = int(input())
s = input()
migi = s.count(".")
hidari = 0
ans = migi
for i in range(n):
if s[i] == "#":
hidari += 1
elif s[i] == ".":
migi -= 1
ans = min(ans,hidari+migi)
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03069/s338272600.py | s338272600.py | py | 211 | python | en | code | 0 | github-code | 90 |
41152146990 |
import os
import random
from isort import file
from matplotlib.image import imread
from PIL import Image
import numpy as np
from base64 import b64encode
from io import BytesIO
# pour langestion de l'API custum vision
from azure.cognitiveservices.vision.customvision.training import CustomVisionTrainingClient
from az... | adjanorpro18/Projet-P8---Triof | triof/src/utils.py | utils.py | py | 4,894 | python | en | code | 0 | github-code | 90 |
16888758558 | # import cv2
# cap=cv2.VideoCapture(0)
# #infinite loop
# while True:
# ret, frame = cap.read()
# cv2.imshow("Devansh's camera", frame)
# if cv2.waitKey(1)== 13: #13 is ASCII code of ENTER
# break
# cap.release()
# cv2.destroyAllWindows()
#open webcamera-par pta nhi kyu ulta aara saala
import ... | Devansh2005/OpenCv-practice | prac15.py | prac15.py | py | 744 | python | en | code | 0 | github-code | 90 |
18003997669 | n = int(input())
a = list(map(int,input().split()))
acc = [a[0]]
for i in range(1, n):
acc.append(acc[-1] + a[i])
res = 10 ** 100
def f(fir):
prv_pos = fir > 0
margin = fir - a[0]
ret = abs(margin)
for i in range(1, n):
cur = margin + acc[i]
if prv_pos and cur < 0:
prv_... | Aasthaengg/IBMdataset | Python_codes/p03739/s466351156.py | s466351156.py | py | 830 | python | sh | code | 0 | github-code | 90 |
18033205689 | import heapq
class Graph():
def __init__(self,vertex_num,node_num,naive_input,start_zero=True,direction=False):
self.vertex_num=vertex_num
self.node_num=node_num
#nodeには入力時のインデックスも含む
#[接続ノード , インッデクス]のarray
node=[{} for _ in range(vertex_num)]
for i in range(node_num)... | Aasthaengg/IBMdataset | Python_codes/p03837/s636767328.py | s636767328.py | py | 2,974 | python | en | code | 0 | github-code | 90 |
33932585036 | #!/usr/bin/env python
import argparse
import requests
parser = argparse.ArgumentParser()
parser.add_argument('url' ,type = str, help = 'web address')
args = parser.parse_args()
url = args.url
def download(url):
response = requests.get(url)
print(response.text)
return response.text
if __name__ == '__main__... | Drahow/Web-Scrap-With-Python | chapter1/download3.py | download3.py | py | 341 | python | en | code | 0 | github-code | 90 |
73576163497 | dictionary = {}
words = input("Please enter word with translations separated by : and ,\n->")
result = words.split(",")
for words in result:
split_result = words.split(":")
key = split_result[0].lower()
value = split_result[1].lower()
dictionary[key] = value
phrase = input("Please enter a phrase in spa... | Algoritmos-y-Programacion-2122-3-S3/Ejercicios-en-clase | Semana 4/Martes/translate.py | translate.py | py | 448 | python | en | code | 0 | github-code | 90 |
28134486560 | '''
19a) Write the Python program To compute sin(x) using the below given Formula
sin x = x - x3/3! + x5/5! - x7/7! + x9/9! ........
'''
def factorial(number):
if number==1:
return 1
else:
return number * factorial(number-1)
def exponent(x,p):
return x**p
x = int(input('Enter x value:'... | rajasekaran36/pspp2023 | set5/19a/main.py | main.py | py | 617 | python | en | code | 0 | github-code | 90 |
15169507011 | from play.tests.base import BaseTestCase
class PlayTestCase(BaseTestCase):
"""
플레이어 게임 턴 변경 테스트
"""
async def test_unittest_turn(self):
# GIVEN: 사용자가 사용할 커맨드
turn = 0
command = {
"command": "action",
"player": turn,
"card_number": "BASE_01"
... | MinJunsu/agricola | play/tests/play.py | play.py | py | 1,446 | python | ko | code | 0 | github-code | 90 |
31661754353 | #mutable but unlike lists and tuples it doesnt allow duplicate elements. eg if we print myset4 it will remove the second 2
myset = {"banana", "apple", "maembe", "avoc"}
myset2=tuple(["Max", 30, "Boston"]) #this creates a set from a list
myset3={5, True, "apple", "apple"}
myset4={101, 22, 2, 0, 34, -10, 2, 330... | Timothy254/Playing-with-Python | Basics/4 Sets.py | 4 Sets.py | py | 1,924 | python | en | code | 0 | github-code | 90 |
1462474816 | from django.db import models
from django.utils.translation import pgettext_lazy as _
from google.cloud import vision
from rest_framework import serializers
class Image(models.Model):
image_uri = models.URLField(max_length=1000, verbose_name=_('itt|Image url', 'Image url'))
@property
def get_obj_list(self... | lev-slinsen/Gimage | itt/models.py | models.py | py | 900 | python | en | code | 0 | github-code | 90 |
7464583049 | """
Automate line-length pipeline to a data dictionary.
Author: Ankit N. Khambhati
Last Updated: 2018/11/08
"""
import numpy as np
from . import signal_dict
import pyfftw
import pyeisen
import functools
print = functools.partial(print, flush=True)
DUR = 0.04
N_KERN = 1
MEM_FFT = True
def _reserve_fftw_mem(kernel_l... | subnets/EpiNetReorgChronicRNS | notebooks/utils/apply_linelength.py | apply_linelength.py | py | 3,792 | python | en | code | 2 | github-code | 90 |
27121376072 | import unittest
from junit_xml import TestSuite, TestCase
from pageobjects.home_screen import HomeScreen
from webdriver import Driver
import Logger
class TestCases(unittest.TestCase):
def setUp(self):
print('Setting up driver')
self.driver = Driver()
Logger.set_logger()
def test_sta... | DandresPer/appium_poc_booking | pythonProject/testcases/booking_services/stay_booking.py | stay_booking.py | py | 965 | python | en | code | 0 | github-code | 90 |
18530896039 | N = int(input())
num = list(map(int, input().split()))
ans = 0
r = 0
sumz = 0
for l in range(N):
if r < l: r = l
while (r < N) and (num[r] + sumz) == (sumz ^ num[r]):
sumz += num[r]
r += 1
ans += r-l
sumz -= num[l]
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p03340/s282212883.py | s282212883.py | py | 262 | python | en | code | 0 | github-code | 90 |
27413267815 | import tkinter as tk
from tkinter import messagebox as tkm
from ex05.fight_kokaton import perfect_body, turth,ans
def button_click(event):
btn=event.widget
txt=btn["text"]
if turth==ans:
perfect_body+=1#無敵回数を追加
success_point+=1
else:
return | c0b21113/ProjExD | ex05/option.py | option.py | py | 298 | python | en | code | 2 | github-code | 90 |
18443532909 | def main():
N = int(input())
A = [int(a) for a in input().split()]
mon1 = [a for a in A]
mon2 = [a for a in A]
for i in range(10**9):
mon1 = sorted(mon2)
mon2 = list()
for j in range(1, len(mon1)):
m_ = mon1[j] % mon1[0]
if m_ != 0:
m... | Aasthaengg/IBMdataset | Python_codes/p03127/s010738641.py | s010738641.py | py | 473 | python | en | code | 0 | github-code | 90 |
18583918629 | import math
# s=int(input())
# b=input()
# c=[]
# for i in range(b):
# c.append(a[i])
a = list(map(int,input().split()))
#b = list(map(int,input().split()))
if a[0]+a[1]<a[2]+a[3]:
print("Right")
elif a[0]+a[1]==a[2]+a[3]:
print("Balanced")
elif a[0]+a[1]>a[2]+a[3]:
print("Left") | Aasthaengg/IBMdataset | Python_codes/p03477/s974572614.py | s974572614.py | py | 297 | python | en | code | 0 | github-code | 90 |
24930290292 | from lxml import objectify
from src.utils.colors import get_random_color, color_to_string
def parse_points(points_str) -> list:
points = []
for point_str in points_str.split(';'):
coords_str = point_str.split(',')
coords = [float(coords_str[0]), float(coords_str[1])]
points.append(coo... | prime-slam/PlaneDetector | src/annotations/cvat/CVATAnnotation.py | CVATAnnotation.py | py | 3,016 | python | en | code | 2 | github-code | 90 |
71401972137 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# @Time : 2020.02.05
# @Author : Lhaihai
# @File : AppCertDlls
# @Software: PyCharm
# @Blog : http://www.Lhaihai.top
"""
Description : 修改注册表的 AppCertDlls，需要管理员权限
"""
import pyregedit.pyregedit as pyregedit
from logger import factory_logger
logger = ... | Lhaihai/PythonPersistence | AppCertDlls.py | AppCertDlls.py | py | 1,370 | python | en | code | 32 | github-code | 90 |
19443486525 | import threading
from allmodels_ui.UITestTask import UITestTask
from core.decorator.normal_functions import *
class UITaskThread(threading.Thread):
def __init__(self,task = UITestTask()):
super(UITaskThread, self).__init__()
self.task = task
@catch_exception
@take_time
def run(self):... | LianjiaTech/sosotest | AutotestFramework/threads/UITaskThread.py | UITaskThread.py | py | 445 | python | en | code | 489 | github-code | 90 |
18464307779 | from sys import setrecursionlimit, stdin
setrecursionlimit(10**6)
input = stdin.buffer.readline
def main():
n, m = map(int, input().split())
edges = [[] for _ in range(n)]
for _ in range(m):
x, y = map(int, input().split())
edges[x-1].append(y-1)
dp = [-1] * n
def dfs(node):
... | Aasthaengg/IBMdataset | Python_codes/p03166/s745408884.py | s745408884.py | py | 750 | python | en | code | 0 | github-code | 90 |
35185864180 | import unittest
import grr.ThresholdModel_testutil as tmt
from grr.AugmentedGIF import AugmentedGIF
class TestAugmentedGIFSimulateDoesNotCrash_VectorInput(
tmt.TestSimulateDoesNotCrash_VectorInput, unittest.TestCase
):
def setUp(self):
super(TestAugmentedGIFSimulateDoesNotCrash_VectorInput, self).set... | nauralcodinglab/raphegif | grr/AugmentedGIF_test.py | AugmentedGIF_test.py | py | 1,185 | python | en | code | 0 | github-code | 90 |
37559635845 | class Stack(object):
u"""An object representing a stack data structure."""
def __init__(self):
u"""Instantiate a Stack without Data."""
self.head_data = None
def push(self, data):
u"""Push a new data element to the top of the Stack."""
if self.head_data:
new_da... | jefrailey/data-structures | data_structures/stack.py | stack.py | py | 1,596 | python | en | code | 0 | github-code | 90 |
1959376995 | def to_rna(dna_strand):
a = []
for i in dna_strand:
a.append(Check(i))
return ''.join(a)
def Check(i):
if i in 'GCTA':
if i == 'G':
return 'C'
elif i == 'C':
return 'G'
elif i == 'T':
return 'A'
else:
return 'U'
... | thirayut-m/exercism | python/rna-transcription/rna_transcription.py | rna_transcription.py | py | 353 | python | en | code | 0 | github-code | 90 |
31597678485 |
from skimage import feature
from imutils import build_montages
from imutils import paths
import numpy as np
import argparse
import cv2
import os
from sklearn.preprocessing import LabelEncoder
from joblib import load
def quantify_image(image):
# compute the histogram of oriented gradients feature vector for
# the i... | Parkinsons-Diagnosis-uOttaHack2020/UOttaHack-Parkinsons-Diagnosis | python_script/execute.py | execute.py | py | 3,976 | python | en | code | 1 | github-code | 90 |
43064188229 | """système => systeme
Revision ID: e2fc2015019f
Revises: c25cd8d68042
Create Date: 2023-08-18 00:50:18.355922
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e2fc2015019f'
down_revision = 'c25cd8d68042'
branch_labels = None
depends_on = None
def upgrade():
... | MomoAy/G-PARC | migrations/versions/e2fc2015019f_système_systeme.py | e2fc2015019f_système_systeme.py | py | 961 | python | en | code | 0 | github-code | 90 |
25925485378 | #!/usr/bin/env python3
import json
import sys
import uuid
import pika
class MovieInfoRpcClient:
def __init__(self):
self.connection = pika.BlockingConnection()
self.channel = self.connection.channel()
result = self.channel.queue_declare(
queue="",
exclusive=True... | it490-wizards/api-proxy | rpc_client.py | rpc_client.py | py | 1,434 | python | en | code | 0 | github-code | 90 |
12847786685 | import datetime
from typing import Any, Optional
from fastapi import APIRouter, Depends, Request
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from fastapi_pagination import Params, paginate
from loguru import logger
from core import deps
from core.utils.constants import Defau... | wutong-paas/wutong-console | apis/manage/team/wutong_team_plugins_controller.py | wutong_team_plugins_controller.py | py | 37,516 | python | en | code | 6 | github-code | 90 |
14252079737 | # Andrew Moss
# Assignment 2 : Cash Register
# CS 002
from decimal import *
purAmt = float(input("Enter purchase amount: "))
recAmt = float(input("Enter received amount: "))
totalChange = recAmt*100 - purAmt*100
print("Total Change: $", totalChange/100)
dollars = int(totalChange/100)
print("dollars:", dollars)
total... | drewmoss86/exploringPython | assign2_cs002.py | assign2_cs002.py | py | 842 | python | en | code | 0 | github-code | 90 |
5599826474 | # Time limit exceeded solution
class Solution:
def groupAnagrams(self, strs: list[str]) -> list[list[str]]:
from collections import Counter
answer = []
for word in strs:
# if go through all thw "answer" : new answer!
count = 0
for i in answer:
... | jinhyung-noh/algorithm-ps | LeetCode/49_group_anagrams_20200610.py | 49_group_anagrams_20200610.py | py | 1,709 | python | en | code | 0 | github-code | 90 |
20039956295 | import torch
import numpy as np
import onnx
import onnxruntime as ort
import simpleModel as trackModel
modelName='trackKeyPointModel_0618_unet_320crop'
device=torch.device("cuda:3" if torch.cuda.is_available() else "cpu")
# device=torch.device("cpu")
modelPath='./model/'+modelName+'.pt'
model=trackModel.load_networ... | Wenlab/Larval-Zebrafish-Tracking | U-net/ExportOnnxModel.py | ExportOnnxModel.py | py | 1,919 | python | en | code | 0 | github-code | 90 |
71899471338 | import os
def bianLi(rootDir):
for root,dirs,files in os.walk(rootDir):
for file in files:
print(file.replace('.a',''))
for dir in dirs:
bianLi(dir)
rootDir = "F:\\WorkPlace\\NDKTest\\OpenCVDemo2\\app\\src\\main\\cpp\\opencv\\3rdparty\\libs\\arm64-v8a"
bianLi(rootDir)
| zyongLiu/NDKTest | OpenCVDemo2/app/src/main/cpp/test.py | test.py | py | 282 | python | en | code | 0 | github-code | 90 |
6697368066 | from django.urls import path
from . import views
app_name = "prox"
urlpatterns = [
path('', views.index, name='index'),
path('requests/', views.AddressView.as_view(), name='requests'),
path('send_request/', views.add_request, name='send_requests'),
path('delete_data/', views.delete_data, name='delete'... | Fridi7/udp-hole-punching-with-django | posrednik/prox/urls.py | urls.py | py | 323 | python | en | code | 0 | github-code | 90 |
30372598683 | from collections.abc import Collection
from contextlib import nullcontext
import pytest
from pydantic import BaseModel
from hexkit.utils import (
FieldNotInModelError,
NonAsciiStrError,
calc_part_size,
check_ascii,
validate_fields_in_model,
)
MiB = 1024**2
GiB = 1024**3
TiB = 1024**4
@pytest.ma... | ghga-de/hexkit | tests/unit/test_utils.py | test_utils.py | py | 2,337 | python | en | code | 3 | github-code | 90 |
5844323339 | from django.urls import path
from core import views
from rest_framework_simplejwt import views as jwt_views
urlpatterns = [
path("log/", views.LogList.as_view(), name="log"),
path("log/<int:pk>/", views.LogDetail.as_view(), name="log"),
path("logs/", views.LogSearch.as_view(), name="search_logs"),
path... | ffabiorj/codenation_logs | core/urls.py | urls.py | py | 477 | python | en | code | 0 | github-code | 90 |
18232354459 | n = int(input())
a = list(map(int, input().split()))
a = list(enumerate(a))
a.sort(key = lambda x: x[1])
DP = [[0 for i in range(n+1)] for j in range(n+1)]
DP[0][0] = 0
for i in range(1, n+1):
pos, val = a.pop()
pos = pos + 1
DP[0][i] = DP[0][i-1] + abs(val * (n - i + 1 - pos))
DP[i][0] = DP[i-1][0] ... | Aasthaengg/IBMdataset | Python_codes/p02709/s266599636.py | s266599636.py | py | 576 | python | en | code | 0 | github-code | 90 |
33860213348 | import cv2
import numpy as np
import random
def sp_noise(image, prob):
output = np.zeros(image.shape,np.uint8)
thres = 1 - prob
for i in range(image.shape[0]):
for j in range(image.shape[1]):
rdn = random.random()
if rdn < prob:
output[i][j] = 0
e... | Zinnur01/Robotics | OpencvPython/Home works/Lesson 5/Task 1/task1.py | task1.py | py | 1,061 | python | en | code | 0 | github-code | 90 |
9504348102 | import sys
def sumcalc(iput,n):
coeff = []
multi = []
temp = pow(2,n,1000000007) - 1
coeff.append(temp)
if (n%2) == 0 :
k = n/2
k = int(k)
else:
k = (n + 1) / 2
k = int(k)
for j in range(1,k+1):
nxtval = (coeff[j-1] + pow(2,(n-... | Mdixit/Hackerrank | Dynamic Programming/sumpiece.py | sumpiece.py | py | 988 | python | en | code | 0 | github-code | 90 |
18358276049 | #入力高速化 + 再帰回数制限解除
import sys
input=sys.stdin.readline
sys.setrecursionlimit(10000000)
#负の闭路検出
#n=顶点数 e=[[a,b,c],[]...](a~bの距离がc)
def find_negative_loop(n,e):
d=n*[10**20];d[0]=0
for h in range(n):
for i,j,k in e:
if d[j]>d[i]+k:
d[j]=d[i]+k
if h==n-1:return -1
return max(-d[n-1],0)
#DA... | Aasthaengg/IBMdataset | Python_codes/p02949/s342268208.py | s342268208.py | py | 1,629 | python | zh | code | 0 | github-code | 90 |
18350582649 | #!/usr/bin/env python3
#import
#import math
#import numpy as np
N, K = map(int, input().split())
A = list(map(int, input().split()))
t1 = 0
for i in range(N - 1):
for j in range(i + 1, N):
if A[i] > A[j]:
t1 += 1
A.sort()
t2 = 0
lst = 0
for i in range(1, N):
if A[i - 1] < A[i]:
t2... | Aasthaengg/IBMdataset | Python_codes/p02928/s849550625.py | s849550625.py | py | 457 | python | en | code | 0 | github-code | 90 |
23571095084 |
# %%
import pandas as pd
import spacy
from collections import Counter
import en_core_web_sm
nlp = en_core_web_sm.load()
from glob import glob
import json
# read in jsons
jsons = []
for f_name in glob('./data/*.json'): # for all jsons in directory
with open(f_name, "r") as fh:
file = json.loads(fh.read... | charlottemcclintock/AnarchistCorpus | ner.py | ner.py | py | 1,382 | python | en | code | 0 | github-code | 90 |
12338338499 | import os
import warnings
from astropy.timeseries import LombScargle
import numpy as np
import pandas as pd
from scipy.signal import find_peaks
# Plotting stuff
from matplotlib import rcParams
rcParams["font.size"] = 16
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
class StackedP... | murphyjm/tessla | tessla/stackedperiodogram.py | stackedperiodogram.py | py | 16,519 | python | en | code | 1 | github-code | 90 |
34997868150 | #
# Source: "Serializing Python Data To Json - Some Edge Cases" by Chris Wagner
# http://robotfantastic.org/serializing-python-data-to-json-some-edge-cases.html
#
# Modified by Alexander Artemyev on 2018-02-09
#
from collections import namedtuple, Iterable, OrderedDict
import numpy as np
import simplejson as js... | AlexanderArtemyev/Wilson-disease | data_to_json.py | data_to_json.py | py | 4,191 | python | en | code | 0 | github-code | 90 |
41500294858 | from __future__ import division
from collections import OrderedDict
from functools import partial
import gzip
import io
import os
import logging
import os.path
import h5py
import numpy
from picklable_itertools.extras import equizip
from PIL import Image
from scipy.io.matlab import loadmat
from six.moves import zip, xr... | mila-iqia/fuel | fuel/converters/ilsvrc2010.py | ilsvrc2010.py | py | 22,939 | python | en | code | 850 | github-code | 90 |
18578484829 | # C - Otoshidama
n,y = map(int,input().split())
import sys
tmp = y - 1000*n
a = y // 10000
for i in reversed(range(a+1)):
for j in range((y - 10000*i) // 5000 + 1):
if 9000*i + 4000*j == tmp:
print(i,j,n-i-j)
sys.exit()
print(-1,-1,-1)
| Aasthaengg/IBMdataset | Python_codes/p03471/s281685955.py | s281685955.py | py | 277 | python | en | code | 0 | github-code | 90 |
21200029550 | import numpy as np
import pickle
from response_surface import ResponseSurface
def idfunc(*arg,**kwargs):
if len(arg) == 1:
return arg[0]
return arg
#print('loading')
try:
import tqdm
tqfunc = tqdm.tqdm_notebook
#print('tqdm found')
except ImportError:
#is not available
tqfunc = id... | AdityaSavara/PEUQSE | PEUQSE/mumpce/measurement.py | measurement.py | py | 22,194 | python | en | code | 12 | github-code | 90 |
41786349387 | """Transforms relate to hamming distance sampling."""
import random
import numpy as np
from onmt.utils.logging import logger
from onmt.constants import DefaultTokens
from onmt.transforms import register_transform
from .transform import Transform
class HammingDistanceSampling(object):
"""Functions related to (nega... | memray/OpenNMT-kpg-release | onmt/transforms/sampling.py | sampling.py | py | 7,544 | python | en | code | 210 | github-code | 90 |
5490486043 | from itertools import islice, count
def is_even(number):
return number % 2 == 0
evens = islice((number for number in count() if is_even(number)), 200)
executed_evens = list(evens)
print(executed_evens)
print(any([True, False, False]))
print(all([True, False, False]))
print(any(is_even(number) for number in range(... | iainjmitchell/learning | python-fundamentals/iterables/iteration-tools.py | iteration-tools.py | py | 545 | python | en | code | 0 | github-code | 90 |
72665247976 | # coding=utf-8
import os.path
import sys
import json
import copy
import logging
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
from datetime import datetime
from dbmanager import DbManager
from common import Common
from error import Error
import hashlib
from modproject impor... | haojingus/pycms | editorhandler.py | editorhandler.py | py | 10,995 | python | en | code | 1 | github-code | 90 |
17967376009 | N = int(input())
from heapq import heapify, heappush, heappop
inf = float("inf")
def dijkstra(graph, start): # graphは隣接リスト(繋がっている先, コスト)
vsize = len(graph)
dist = [inf] * vsize
seen = [False] * vsize
prev = [None] * vsize
pq = []
heapify(pq)
dist[start] = 0
heappush(pq, (0, start)) #... | Aasthaengg/IBMdataset | Python_codes/p03634/s114722686.py | s114722686.py | py | 1,116 | python | en | code | 0 | github-code | 90 |
32804264530 | import torch
from labml import logger, lab, monit
from labml.logger import Text, Style
from python_autocomplete.evaluate import Predictor
from python_autocomplete.evaluate.beam_search import NextWordPredictionComplete
from python_autocomplete.evaluate.factory import get_predictor
def evaluate(predictor: Predictor, t... | labmlai/python_autocomplete | python_autocomplete/evaluate/eval_sample.py | eval_sample.py | py | 2,262 | python | en | code | 176 | github-code | 90 |
18043459969 | H,W=map(int,input().split())
A=[input() for _ in range(H)]
Flag=True
x,y=0,0
for _ in range(H+W-2):
if x+1 < H and A[x+1][y] == '#':
x += 1
continue
if y+1 < W and A[x][y+1] == '#':
y += 1
continue
Flag=False
Flag= Flag and (sum(x.count("#") for x in A)==H+W-1)
if Flag:... | Aasthaengg/IBMdataset | Python_codes/p03937/s354424415.py | s354424415.py | py | 388 | python | en | code | 0 | github-code | 90 |
10407625969 | from inferno.io.volumetric import TIFVolumeLoader, HDF5VolumeLoader
from inferno.io.transform import Compose
from inferno.io.transform.generic import Cast, Normalize
from inferno.io.transform.image import AdditiveGaussianNoise
class RawVolume(TIFVolumeLoader):
def __init__(self, path, dtype='float32', **slicing_c... | inferno-pytorch/neurofire | neurofire/datasets/isbi2012/loaders/raw.py | raw.py | py | 1,481 | python | en | code | 7 | github-code | 90 |
23191404274 | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 27 11:59:02 2019
@author: Shaik Rameez
"""
import serial
import time
import json
import cv2
import smtplib
from ibm_watson import VisualRecognitionV3
port='COM4'
ard = serial.Serial(port,9600,timeout=5)
time.sleep(2)
x="found"
y="notfound"
visual_recognition = VisualRec... | RameezAhamad/Animal_Detector | Codes/testfinal.py | testfinal.py | py | 2,192 | python | en | code | 0 | github-code | 90 |
71334703018 |
import os
from collections import namedtuple
import numpy as np
from sklearn.linear_model import RidgeCV
from sklearn.svm import SVR
from sklearn.model_selection import GridSearchCV
from scipy.stats.stats import pearsonr
import gpflow
import GPy
import config
Data = namedtuple('Data', ['X_train',
... | beckdaniel/ijcnlp17_emo | bin/experiment.py | experiment.py | py | 5,910 | python | en | code | 1 | github-code | 90 |
69837673576 | from django.urls import path
from . import views
app_name = "store"
urlpatterns = [
path('', views.index, name='index'),
path('dept/', views.dept, name='department'),
path('newstock/', views.newstock, name='newstock'),
path('history/', views.history, name='dept_history'),
path('department/', views... | olanipekun01/fmc_store | store/urls.py | urls.py | py | 862 | python | en | code | 1 | github-code | 90 |
19731362260 | from matplotlib import pyplot as plt
from sklearn.model_selection import train_test_split
from torch import nn, optim
from torch.utils.data import DataLoader
from torchvision import models
from tqdm import tqdm
import torch
import preprocess as prep
from preprocess import PhoneDataset
import pandas as pd
def fit_epoc... | Votun/phone-classifier-v2 | classifier/train.py | train.py | py | 7,864 | python | en | code | 0 | github-code | 90 |
25915876781 | # Soma dos numeros impares
soma = 0
cont = 0
for c in range(1, 7):
num = int(input('Digite o {}° numero:'.format(c)))
if num % 2 == 0:
soma += num
cont += 1
print('Voce informou {} numeros pares e a soma é a {}'.format(cont, soma))
| celycodes/curso-python-exercicios | exercicios/ex050.py | ex050.py | py | 259 | python | pt | code | 2 | github-code | 90 |
39893310303 | import numpy as np
from mayavi import mlab
from bfieldtools.sphtools import ylm, Wlm, Vlm
scaling_factor = 1
center = np.array([0, 0, 0]) * scaling_factor
sidelength = 3 * scaling_factor
n = 12
xx = np.linspace(-sidelength / 2, sidelength / 2, n)
yy = np.linspace(-sidelength / 2, sidelength / 2, n)
zz = np... | PhysicsTara/nEDM-gradient-coils | sph-field-test.py | sph-field-test.py | py | 1,566 | python | en | code | 0 | github-code | 90 |
23187460891 | #!/usr/bin/env python
import os
import sys
import scipy
import argparse
from netCDF4 import Dataset
from util import projections
"""
Create (lat,lon) grids from the (y0,x0) grids.
"""
def abs_existing_file(file):
file = os.path.abspath(file)
if not os.path.isfile(file):
print("Error! File does not... | jhkennedy/cism-data | x0y0_grid.py | x0y0_grid.py | py | 3,683 | python | en | code | 2 | github-code | 90 |
20900775200 | x=2
lr=0.01
precision=0.000001
max_iter=9975
iter=0
prev_step_size=1
gf=lambda x:(x+3)**2
while precision<prev_step_size and iter<max_iter :
prev=x
x=x-lr*gf(x)
prev_step_size=abs(x-prev)
iter+=1
# print('Iteration',iter,'value',x)
print('the minima of the given function is given as ',x... | macvirusnath/LP33 | gda.py | gda.py | py | 323 | python | en | code | 0 | github-code | 90 |
70952215658 | import interactions
from utils import *
import os
from tasks.ext import IntervalTrigger, create_task
worker_interval = int(os.getenv('WORKER_INTERVAL_MINS', 30))
bot = interactions.Client(token=os.getenv('BOT_TOKEN'))
@bot.command(
name="create_role",
description="Create a new role for a particular timezone",... | irshadshalu/discord-timezoneroles-bot | bot.py | bot.py | py | 1,945 | python | en | code | 0 | github-code | 90 |
18485582910 | import datetime
import LRVectorBacktester as LR
import ScikitVectorBacktester as SCI
# Underlying Settings
symbol = 'GLD'
from_dt = datetime.datetime(2010, 1, 1)
to_dt = datetime.datetime(2021, 5, 24)
# Backtest Settings
is_print = False
is_plot = False
initial_credit = 10000
transaction_costs = 0.001 # 0.1%
related... | mattrudin/DLBIKI01_Agents | main.py | main.py | py | 2,963 | python | en | code | 0 | github-code | 90 |
18313729649 | n = int(input())
g = [[] for i in range(n+1)]
d = {}
l = [-1] * (n-1)
max_idx = 0
for i in range(n-1):
u,v = map(int, input().split())
d[(u,v)] = i
d[(v,u)] = i
g[u].append((u,v))
g[v].append((v,u))
if len(g[max_idx]) < len(g[u]):
max_idx = u
if len(g[max_idx]) < len(g[v]):
max_idx = v
m = len(g[m... | Aasthaengg/IBMdataset | Python_codes/p02850/s169341171.py | s169341171.py | py | 809 | python | en | code | 0 | github-code | 90 |
17570237855 | def sumAmicableNum(x):
# Use set instead
amicable_numbers = set()
# No point assigning the range to a variable
for num in range(1, x):
x_val = 0
y_val = 0
# No point assigning the range to a variable
for val in range(1, num):
if (num % val) == 0:
... | joshuaz/ProjectEuler | 21_amicable_numbers/amicable_numbers.py | amicable_numbers.py | py | 606 | python | en | code | 0 | github-code | 90 |
31422936153 | #! usr/bin/env/python3
# coding:utf-8
# Author: turpure
import os
from multiprocessing.pool import ThreadPool as Pool
from src.services.base_service import CommonService
import requests
import datetime
class Worker(CommonService):
"""
worker
"""
def __init__(self):
super().__init__()
... | yourant/ur_cleaner | src/tasks/joom_inventory.py | joom_inventory.py | py | 3,324 | python | en | code | 0 | github-code | 90 |
27454193630 | from sympy import *
x,y,z,t = symbols('x y z t')
userInput = input("Nhap vao ham : ")
var = input("Ban muon tinh dao ham theo bien :")
level = input("Ban muon tinh dao ham cap : ")
init_printing(use_unicode=True)
# In ra duoi dang ki hieu toan hoc pprint()
pprint(diff(userInput,var,level)) | bangoc123/PythonCore | Derivative/Ex.py | Ex.py | py | 298 | python | en | code | 0 | github-code | 90 |
25872145450 |
import youtube_dl
import telebot
import requests
token = '1702123934:AAG4xQh_ZnXnauuHnpjd0Jwojj9_fM4VwDw'
bot = telebot.TeleBot(token)
def download(title, link):
link = 'https://www.youtube.com/results?search_query=bruno+mars+leave+the+door+open'
ydl_opts = {
'format': 'bestaudio/best',
'postp... | xic2401/telegram_bot_1 | main_2.py | main_2.py | py | 708 | python | en | code | 0 | github-code | 90 |
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