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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
10815957206 | day = "Friday"
temperature = 30
raining = False
if day == "Saturday" and temperature > 27 and not raining:
print("Go swimming")
else:
print("Learn Python")
if (day == "Saturday" and temperature > 27) or not raining:
print("Go swimming")
else:
print("Learn Python")
#() are added because and has higher ... | btemovska/Section4 | TrueFalse.py | TrueFalse.py | py | 368 | python | en | code | 0 | github-code | 90 |
18331860249 | n = int(input())
l = sorted(map(int, input().split()))
cnt = 0
m = n-1
g = []
for i in range(n):
for j in range(i):
g.append(l[i]+l[j])
g = sorted(g,reverse = True)
for i in g:
while l[m] >= i:
m-=1
cnt += n-m-1
print(n*(n-1)*(n-2)//6-cnt) | Aasthaengg/IBMdataset | Python_codes/p02888/s621464113.py | s621464113.py | py | 253 | python | en | code | 0 | github-code | 90 |
6137487690 | from pathlib import Path
import numpy as np
import xarray as xr
from datetime import timedelta
# params
max_nan_consecutive = 31 # 最大连续缺测
max_nan_rate = 0.05 # 最大缺测占比
time_period = [1961, 2020] # 提取时间段
path = Path.cwd()
filename_output = 'observation_interpolation' + '_' + str(max_nan_consecutive) + '_' + str(
... | Koni2020/SWFU | Python/Spatial analysis/Batch extraction/extract_observation.py | extract_observation.py | py | 1,487 | python | en | code | 2 | github-code | 90 |
18107941959 | def insertionSort(A, n, g):
cnt = 0
for i in range(g, n):
v = A[i]
j = i - g
while j >= 0 and A[j] > v:
A[j+g] = A[j]
j = j - g
cnt += 1
A[j+g] = v
return cnt
def shellSort(A, n):
cnt = 0
nn = n
G = []
g = 1
while g <= ... | Aasthaengg/IBMdataset | Python_codes/p02262/s138951593.py | s138951593.py | py | 614 | python | en | code | 0 | github-code | 90 |
18032767219 | import heapq
n,m = map(int,input().split())
abc = [list(map(int,input().split())) for _ in range(m)]
edges = [[] for _ in range(n)]
for a,b,dis in abc:
edges[a-1].append((b-1, dis))
edges[b-1].append((a-1, dis))
def dijkstra(edges, s):
hq = []
d = [-1] * n
d[s] = 0
heapq.heappush(hq, (0, s))
... | Aasthaengg/IBMdataset | Python_codes/p03837/s142308561.py | s142308561.py | py | 686 | python | en | code | 0 | github-code | 90 |
1442175997 | import boto3
from typing import Tuple
from enum import Enum
from datetime import datetime
from time import mktime
from config import Config
from aws_xray_sdk.core import xray_recorder
ddb_client = boto3.client('dynamodb', region_name=Config.REGION_NAME)
class DownloadStatus(Enum):
NONE='NONE',
ERROR='ERROR'
IN_... | dr-natetorious/Dissertation | cdk/src/pipeline/collection/status.py | status.py | py | 3,958 | python | en | code | 0 | github-code | 90 |
26288444464 | class Solution:
def removeDuplicates(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
last = -1
index = 0
if len(nums) == 0:
return 0
for i in range(len(nums)):
if index + 1 == len(nums):
break
... | wwg377655460/DataStructureToLeetCode | problem_26.py | problem_26.py | py | 619 | python | en | code | 0 | github-code | 90 |
2442490155 | class Solution(object):
def isSubsequence(self, s, t):
"""
:type s: str
:type t: str
:rtype: bool
"""
dp = [[0 for i in xrange(len(t)+1)] for j in xrange(len(s)+1)]
for j in xrange(len(t)+1):
dp[0][j] = 1
for i in xrange(1, len(s)+1):
for j in xrange(1, len(t)+1):
if s[j-1] == t[i-1]:
dp... | sangreal/PyLintcode | py/IsSubsequence.py | IsSubsequence.py | py | 433 | python | en | code | 0 | github-code | 90 |
20616060295 | from itertools import product
text = input()
k,l,t = map(int,input().split(" "))
chars = "ACGT"
def doesFormClump(pattern):
for i in range(0,len(text)-l+1):
subText = text[i:i+l]
freq = subText.count(pattern)
if freq>=t:
return True
return False
for i in product(chars,re... | Shadat-tonmoy/BioinformaticsRosalindProblems | Lab Tasks/Day - 03/Subtask1.py | Subtask1.py | py | 399 | python | en | code | 0 | github-code | 90 |
18301530499 | from collections import deque
N = int(input())
A = deque(list(map(int, input().split())))
ans = 0
cnt = 1
while A:
a = A.popleft()
if cnt == a:
cnt += 1
continue
else:
ans += 1
if ans == N:
print(-1)
else:
print(ans) | Aasthaengg/IBMdataset | Python_codes/p02832/s064507519.py | s064507519.py | py | 261 | python | en | code | 0 | github-code | 90 |
32819140385 | import pygame
from pygame.locals import *
from random import randint
def randpoint (screen):
h,w = screen.get_size()
return randint(0, w-1), randint(0, h-1)
def main():
pygame.init()
screen = pygame.display.set_mode((640, 480))
pygame.display.set_caption("My first drawing.")
screen.fill((200, ... | geofmatthews/csci321 | PygameDemos/0100lines/drawlines.py | drawlines.py | py | 819 | python | en | code | 2 | github-code | 90 |
35865584214 | import datetime
import csv
def parseLog(filename, searchToken):
results={}
file = open(filename) # open log file
for line in file: # for each in the file - read the line
if searchToken in line:
components = line.split(":")
date = components[0]
results[date] = resul... | Garethh-M/Bug-Counter | bug finder.py | bug finder.py | py | 1,218 | python | en | code | 0 | github-code | 90 |
18103285418 | from google.colab import drive
drive.mount('/content/drive')
import numpy as np
import matplotlib.pyplot as plt
# here we are working on Tensorflow version 2.1.0 so we need to write tensorflow.keras.
#keras is in built function in Tensorflow.
import os
import tensorflow
import tensorflow as tf
from tensorflow.keras.p... | sanal-l-s/handwritten_equation_solver | Backend/Model/CNN_VGG16_Hand_written.py | CNN_VGG16_Hand_written.py | py | 4,384 | python | en | code | 0 | github-code | 90 |
41900913864 | from collections import deque
import sys
def maxcost(graph, src, t):
used = set()
ldag = deque()
def topological_sort(u):
used.add(u)
for v, c in graph[u]:
if v not in used:
topological_sort(v)
ldag.append(u)
topological_sort(src)
cost = [-1]*len(... | SingularityUrBrain/math-programming | MaxCostPath/solution.py | solution.py | py | 886 | python | en | code | 2 | github-code | 90 |
13674482940 | """
The "report.py" saves the optimization results in given path as spreadsheet
"""
__author__ = "Zhengjie You"
__copyright__ = "2020 TUM-EWK"
__credits__ = []
__license__ = "GPL v3.0"
__version__ = "1.0"
__maintainer__ = "Zhengjie You"
__email__ = "zhengjie.you@tum.de"
__status__ = "Development"
from datetime import... | tum-ewk/OpenTUMFlex | opentumflex/optimization/report.py | report.py | py | 1,087 | python | en | code | 20 | github-code | 90 |
33672553649 | from collections import OrderedDict
from cab_driver import CabDriver
from cab_rider import CabRider
if __name__ == "__main__":
# Suppose entries are comma separated values
# Take Data inputs
entries = int(input())
drivers = OrderedDict()
users = OrderedDict()
for _ in range(entries):
... | jalotra/Youtube-LLD | src/main.py | main.py | py | 1,409 | python | en | code | 0 | github-code | 90 |
21459071176 | from importlib.resources import is_resource
import astropy.io.ascii as asc
import pandas as pd
import numpy as np
from scipy.stats import norm
import astropy.units as u
import dgf.galaxy_utils.isochrone as isochroneModel
from IPython import embed
# ------- DEFAULT VARIABLES ------- #
# ic_file = "Isochrones/iso_age_1... | jaybaptista/satellites | dgf/galaxy_utils/generate.py | generate.py | py | 5,080 | python | en | code | 0 | github-code | 90 |
74049300457 | import unittest
import onitama as oni
import ai
from constants import *
from evaluators import *
class TestGame(unittest.TestCase):
def setUp(self):
self.game = oni.Game([oni.TIGER, oni.TIGER, oni.TIGER, oni.TIGER, oni.TIGER])
self.ai = ai.create_ai(version='unmove', game=self.game)
self.ai... | arduy/onitama | aitests.py | aitests.py | py | 5,248 | python | en | code | 4 | github-code | 90 |
29102168171 | from discord.ext import commands
import time
class Utility(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command()
async def ping(self, ctx):
start = time.perf_counter()
message = await ctx.send("Ping...")
end = time.perf_counter()
dura... | nipunrautela/KoDS-Bot | cogs/utility.py | utility.py | py | 537 | python | en | code | 1 | github-code | 90 |
25168395565 | import csv
from decimal import Decimal
from django.contrib.auth.decorators import login_required
from django.template.loader import get_template
from django.views.generic import ListView
from .models import *
from .forms import *
from django.shortcuts import render, get_object_or_404
from django.shortcuts import redir... | lgkiemde/Maverick-Food-Service | crm/views.py | views.py | py | 8,040 | python | en | code | 0 | github-code | 90 |
18443597469 | def gcd(x,y):
if x < y:
x,y = y,x
if x%y == 0:
return y
return gcd(y,x%y)
n=int(input())
a=list(map(int,input().split()))
ans=a[0]
for i in range(1,len(a)):
ans = gcd(ans,a[i])
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03127/s086401964.py | s086401964.py | py | 239 | python | en | code | 0 | github-code | 90 |
37930850394 | from typing import List
class Solution:
# Time Complexity:
# O(logn) in best case, and O(n) in worst case.
# With duplicates, sometimes we do not know which way to explore.
# Worst Case: All equal in nums and target does not belong to nums.
# Space Complexity: O(1).
def search(self, nums... | saubhik/leetcode | problems/search_in_rotated_sorted_array_ii.py | search_in_rotated_sorted_array_ii.py | py | 1,999 | python | en | code | 3 | github-code | 90 |
17634544917 | import re,urllib
from resources.lib.libraries import client
def resolve(url):
try:
id = url.split("?v=")[-1].split("/")[-1].split("?")[0].split("&")[0]
result = client.request('http://www.youtube.com/watch?v=%s' % id)
message = client.parseDOM(result, 'div', attrs = {'id': 'unavailable-su... | mrknow/filmkodi | plugin.video.fanfilm/resources/lib/resolvers/youtube.py | youtube.py | py | 1,569 | python | en | code | 66 | github-code | 90 |
72092532776 | from kiwoom import Kiwoom
from dbwrapper import MongoDB
from pdreader import PDReader
from webscraper import SejongScraper
from processtracker import ProcessTracker, timeit
from PyQt5.QtWidgets import *
from PyQt5.QAxContainer import *
from PyQt5.QtCore import *
import os, time, json
import _pickle as pickle
from path... | ppark9553/safer | Gobble/gobble.py | gobble.py | py | 3,706 | python | en | code | 0 | github-code | 90 |
18259187209 | def main():
s = str(input())
q = int(input())
lst = [list(map(str, input().split())) for _ in range(q)]
switch = 0 # 0が通常 1が前
str_lst = [s]
front_lst = []
for i in range(q):
if lst[i][0] == '1':
switch = 1 - switch
else:
f = lst[i][1]
c... | Aasthaengg/IBMdataset | Python_codes/p02756/s556793551.py | s556793551.py | py | 899 | python | en | code | 0 | github-code | 90 |
37118900793 | class Solution(object):
def search(self, array, target):
"""
input: int[] array, int target
return: int
"""
# write your solution here
if len(array) == 0:
return -1
left, right = 0, len(array)-1
while left+1 < right:
mid = left+... | nanw01/python-algrothm | Python Algrothm Advanced/practice/050104findinrotatedarray copy 2.py | 050104findinrotatedarray copy 2.py | py | 915 | python | en | code | 1 | github-code | 90 |
25521928885 | import webob
from oslo_config import cfg
from oslo_log import log as logging
from guts.api import extensions
from guts.api.openstack import wsgi
from guts import exception
from guts import objects
from guts import rpc
LOG = logging.getLogger(__name__)
CONF = cfg.CONF
authorize = extensions.extension_authorizer('mi... | th3architect/guts | guts/api/v1/instances.py | instances.py | py | 2,220 | python | en | code | null | github-code | 90 |
13656489605 | # -*- encoding:utf-8 -*-
"""
This script provides an exmaple to wrap UER-py for classification.
"""
import torch
import json
import random
import argparse
import collections
import torch.nn as nn
from uer.utils.vocab import Vocab
from uer.utils.constants import *
from uer.utils.tokenizer import *
from uer.model_buil... | LuoXukun/Bert_LSTM_CRF | run_classifier.py | run_classifier.py | py | 20,048 | python | en | code | 3 | github-code | 90 |
43356924871 | from typing import List
from enum import Enum, auto
from time import time
import random
from Models.RL.blackjack_simple import MCAgent
from Models.RL.Envs.blackjack_splitting import BlackjackEnvSplit, sum_hand, usable_ace
from Game_Engines.base_engine import BaseEngine
class BJStates(Enum):
"""
State-machine... | dragosconst/licenta | code/Game_Engines/bj_enginge.py | bj_enginge.py | py | 12,215 | python | en | code | 0 | github-code | 90 |
20594109817 | from transitions import Machine
from ClassDiagramWally import*
from Robot_Wally import*
accionamiento=Robot_Wally()
states=['home','exploracion','reconocimiento_objetos','deteccion','posicionar_garra','orientar_garra','medir_distancia','mover_garra','agarrar','depositar','verificar_reecoleccion','siguiente_cate... | AndresFp22/Robot_Wally_AyJ | STM_Wally.py | STM_Wally.py | py | 2,157 | python | es | code | 1 | github-code | 90 |
45139472113 | from kivy.core.window import Window
from kivy.utils import get_color_from_hex as hex
from kivy.uix.button import Button
from kivymd.uix.screen import MDScreen
from kivymd.uix.floatlayout import MDFloatLayout
from kivymd.uix.textfield import MDTextField
from kivymd.uix.label import MDLabel
from kivymd.uix.button ... | Rodrigo-Duarte-8128/expenses-tracker | screens/transfers_screens/edit_recurring_transfer_screen.py | edit_recurring_transfer_screen.py | py | 17,765 | python | en | code | 0 | github-code | 90 |
18314932079 | from collections import defaultdict as dd
N, K = map(int, input().split())
a = list(map(int, input().split()))
b = [val-1 for val in a]
c = [0]*(N+1)
for i,val in enumerate(a):
c[i+1] = (c[i] + val-1)%K
dic = dd(int)
K2 = min(N,K-1)
right = K2
for k,val in enumerate(c[1:K2+1]):
dic[val] += 1
res = 0
# 左端を動かしてい... | Aasthaengg/IBMdataset | Python_codes/p02851/s670937893.py | s670937893.py | py | 523 | python | en | code | 0 | github-code | 90 |
18383026739 | 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, X, *L = map(int, read().split())
ans = 1
d = 0
for l in L:
d += l
if d <= X:
ans += 1
el... | Aasthaengg/IBMdataset | Python_codes/p03000/s033764393.py | s033764393.py | py | 413 | python | en | code | 0 | github-code | 90 |
33411077577 | from flask import Flask, request, render_template
# from random import choice, sample
from flask_debugtoolbar import DebugToolbarExtension
from stories import Story
app = Flask(__name__)
app.config['SECRET_KEY'] = "oh-so-secret"
debug = DebugToolbarExtension(app)
@app.route('/')
def index():
"""Return homepage.... | ninadel/Springboard-SWE-Exercises | ex_24-2_flaskjinja/flask-madlibs/app.py | app.py | py | 926 | python | en | code | 0 | github-code | 90 |
26500992130 | game_board = []
start = None
goal = None
# read 12.txt into game_board, the board should be a list of characters
# each line should be a list of characters
with open('12.txt', 'r') as f:
for line in f:
game_board.append(list(line.strip()))
if 'S' in line:
start = (len(game_board) - 1, l... | hallis21/AOC22 | 12/12.py | 12.py | py | 3,334 | python | en | code | 0 | github-code | 90 |
27654386035 | from typing import List
import os
import logging
from commons import utils, bq_client
from inference.nn_model_training import net_training_fn
from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import OneHotEncoder, StandardScaler, OrdinalEncoder, LabelEncoder
from sklearn.impute import SimpleImp... | thorrester/ML_EXAMPLE | entry_points/inference/training.py | training.py | py | 7,243 | python | en | code | 0 | github-code | 90 |
46181672270 | '''chat_client.py.'''
import sys
import socket
import select
def chat_client():
'''Client.'''
if len(sys.argv) < 3:
print("Usage : python chat_client.py hostname port")
sys.exit()
host = sys.argv[1]
port = int(sys.argv[2])
soc = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
... | dhanraju/python | sock_prog/cli_serv/chat_app/chat_client.py | chat_client.py | py | 1,597 | python | en | code | 0 | github-code | 90 |
39767488242 | from flask_wtf import FlaskForm
from wtforms import StringField, IntegerField, BooleanField, SelectField
from wtforms.validators import InputRequired, URL, Optional, NumberRange
class AddPetForm(FlaskForm):
name = StringField('Pet Name', validators=[InputRequired(message="Name is required")])
species = Select... | TaraDenniston/adopt | forms.py | forms.py | py | 801 | python | en | code | 0 | github-code | 90 |
9891821008 | import time
from dataclasses import dataclass
from email.utils import formatdate, mktime_tz, parsedate_tz
from typing import Iterable, Mapping, Optional, Tuple, Union
from seleniumwire.thirdparty.mitmproxy.coretypes import multidict
from seleniumwire.thirdparty.mitmproxy.net.http import cookies, status_codes, message
... | wkeeling/selenium-wire | seleniumwire/thirdparty/mitmproxy/net/http/response.py | response.py | py | 6,967 | python | en | code | 1,689 | github-code | 90 |
18174441449 | import os
import sys
import math
import heapq
from decimal import *
from io import BytesIO, IOBase
from collections import defaultdict, deque
def r():
return int(input())
def rm():
return map(int,input().split())
def rl():
return list(map(int,input().split()))
def chk(mid,a,n,k):
cuts=0
for i in a:... | Aasthaengg/IBMdataset | Python_codes/p02598/s531270698.py | s531270698.py | py | 631 | python | en | code | 0 | github-code | 90 |
21358537955 | # requires: gtts
import os
from gtts import gTTS
from telethon.tl.types import DocumentAttributeAudio
from telethon.errors import MessageEmptyError, TimeoutError
from telethon import events
from .. import loader, utils
def register(cb):
cb(SayTextMod())
class SayTextMod(loader.Module):
strings = {"name": "S... | nickname0q/Friendly_Telegram | SayText.py | SayText.py | py | 1,662 | python | ru | code | 0 | github-code | 90 |
70764020136 | import pygame as pg
import pytmx
# import sys
# from os import path
# # ---- #
# import pygame
# import pytmx
# # import cv2
# # ---- #
#
# from strings import *
#
# # ---- #
#
# def collide_hit_rect(one, two):
# return one.hit_rect.colliderect(two.rect)
class TiledMap:
def __init__(self, filename):
tm ... | AnthonyMc0525/PokemonGame | src/tiledmap.py | tiledmap.py | py | 1,414 | python | en | code | 0 | github-code | 90 |
9178615925 | import sys
import os
import os.path as osp
import math
import time
import requests
import zipfile, tarfile, gzip
import torch
from glob import glob
from tqdm import tqdm
def download_file(url, filepath):
"""Downloads a file from the given URL."""
print("Downloading %s..." % url)
r = requests.get(url, stre... | atomicoo/Tacotron2-PyTorch | utils/common.py | common.py | py | 3,274 | python | en | code | 12 | github-code | 90 |
28042448127 | '''Display images and predicted masks using streamlit'''
import torch
import torchvision.transforms as transforms
import numpy as np
import streamlit as st
import os
import argparse
import skimage.io as io
import src.utils as utils
import torch
import numpy as np
from PIL import Image
from src.models import ResNetMode... | HongshanLi/TreeDetector | streamlit_proj.py | streamlit_proj.py | py | 5,284 | python | en | code | 5 | github-code | 90 |
4317804831 | class Graph():
def __init__(self,v,g):
self.v = v
self.g = g
def dijkstra(self,src):
dist=[9999]*self.v
mst=[False]*self.v
dist[src]=0
for cout in range(self.v-1):
u = self.mindist(dist, mst)
mst[u] = True
for... | saikat519/Algorithms | dijkstra.py | dijkstra.py | py | 1,526 | python | en | code | 0 | github-code | 90 |
71183789737 | '''
Sorts title candidates for a given document
'''
# built-in
import os
import argparse
import pdb
import json
import pickle
import logging
# external
import pandas as pd
# customs
import data
import engine
import utils
logging.basicConfig(level=logging.DEBUG)
def main(
data_path,
train_data_path,
va... | yoshihikoueno/TitleEstimator | main.py | main.py | py | 3,642 | python | en | code | 0 | github-code | 90 |
35788935275 | # from kinematic import *
# from DDkinematic_final import *
from uproot import open
from os import listdir
from fnmatch import filter
from numpy import ravel, unique, array, empty, concatenate, ones, logical_and
from numpy import abs as np_abs
from numpy.random import choice
# from DD_utils_final import isolate_int, co... | DimaPdemler/HNLclassifier | utils/DD_data_extractor_git.py | DD_data_extractor_git.py | py | 63,747 | python | en | code | 0 | github-code | 90 |
28062940628 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
class Customer(object):
def __init__(self, first_name = '', last_name = '', phone_num = None,
zip_code = None, freq_mil_num = None):
self.first_name = first_name
self.last_name = last_name
self.phone_num = phone_num
se... | les1smore/Pizza-Ordering-in-OOP | 5_Customer.py | 5_Customer.py | py | 1,113 | python | en | code | 2 | github-code | 90 |
72318645418 | from django.conf.urls import patterns, url
from sharetools import views
urlpatterns = patterns('sharetools.views',
#User/Profile -----------------------------------------------------------
url(r'^register/$', views.RegisterView.as_view(), name='register'),
url(r'^login/$', views.LoginView.as_view(), name='login')... | dxslly/toolshare | sharetools/urls.py | urls.py | py | 1,886 | python | en | code | 0 | github-code | 90 |
30200516846 | import hashlib # for hashlib.md5
key = 'bgvyzdsv'
i = 0
while True:
encoded = (key + str(i)).encode('utf-8')
digest = hashlib.md5(encoded).hexdigest()
# if digest[0:6] == '000000': # part2
if digest[0:5] == '00000': # part1
break
i += 1
print(f'The answer is {i}')
| MarcinKozak005/AdventOfCode | 2015/04.py | 04.py | py | 297 | python | en | code | 0 | github-code | 90 |
18321277789 | class Factorial():
def __init__(self, mod=10**9 + 7):
self.mod = mod
self._factorial = [1]
self._size = 1
self._factorial_inv = [1]
self._size_inv = 1
def fact(self, n):
''' n! % mod '''
if n >= self.mod:
return 0
if self._size < n+1:
... | Aasthaengg/IBMdataset | Python_codes/p02862/s518924964.py | s518924964.py | py | 1,937 | python | en | code | 0 | github-code | 90 |
71740963498 | def pal(n):
temp=n
rev=0
while n!=0:
d=n%10
rev=rev*10+d
n=n//10
if rev==temp:
print(rev," is palindrome")
else:
print("not a palindrome")
return rev
num=int(input("enter a number"))
result=pal(num)
print() | gollabharadwaj/python | palindrome or not.py | palindrome or not.py | py | 306 | python | en | code | 0 | github-code | 90 |
2934501919 | import os
import numpy as np
import tensorflow as tf
from tensorflow.python.platform import resource_loader
from tflite_micro.python.tflite_micro.signal.ops import framer_op
from tflite_micro.python.tflite_micro.signal.utils import util
class FramerOpTest(tf.test.TestCase):
_PREFIX_PATH = resource_loader.get_pat... | tensorflow/tflite-micro | python/tflite_micro/signal/ops/framer_op_test.py | framer_op_test.py | py | 4,721 | python | en | code | 1,398 | github-code | 90 |
29486972827 | t1 = ("Ayush", "Tripathi")
t2 = ("Sakshi", "Shete")
list1 = []
for i in range(0, 2):
list1.append(t1[i])
for i in range(0, 2):
list1.append((t2[i]))
def Convert(a):
it = iter(a)
res_dct = dict(zip(it, it))
return res_dct
print(Convert(list1))
| ayush-t02/python-practice | tuple-list-dict.py | tuple-list-dict.py | py | 285 | python | en | code | 0 | github-code | 90 |
3013248906 | import importlib
import inspect
from typing import Callable, Mapping, TypedDict, TypeVar
ArgType = TypeVar("ArgType")
ReturnType = TypeVar("ReturnType")
FunctionType = Callable[[ArgType], ReturnType]
__all__ = ["build_fn_kwargs", "smart_instantiate"]
def _is_var_kwargs(p: inspect.Parameter):
return p.kind == in... | shichao-wang/CRNet-ISWC2022 | src/molurus/functions.py | functions.py | py | 2,128 | python | en | code | 0 | github-code | 90 |
15469135351 | import cv2
from keras.models import load_model
import numpy as np
model = load_model('keras_model.h5')
capture = cv2.VideoCapture(0)
data = np.ndarray(shape=(1, 224, 224, 3), dtype=np.float32)
while True:
ret, frame = capture.read()
resized_frame = cv2.resize(frame, (224, 224), interpolation=cv2.INTER_ARE... | kumar2020/RPS | RPS_model.py | RPS_model.py | py | 671 | python | en | code | 0 | github-code | 90 |
21473387425 | # Shows example of SimpleSpriteSheetAnimation object
# 1 - Import library
import pygame
from pygame.locals import *
import sys
import pygwidgets
from SimpleSpriteSheetAnimation import *
# 2 Define constants
SCREEN_WIDTH = 640
SCREEN_HEIGHT = 480
FRAMES_PER_SECOND = 30
BGCOLOR = (0, 128, 128)
# 3 - Initialize the wor... | IrvKalb/Object-Oriented-Python-Code | Chapter_14/SimpleSpriteSheetAnimation/Main_SimpleSpriteSheetAnimation.py | Main_SimpleSpriteSheetAnimation.py | py | 1,315 | python | en | code | 207 | github-code | 90 |
26112034269 | from libqtile import bar, layout, widget
from libqtile.config import Click, Drag, Group, Key, Match, Screen
from libqtile.lazy import lazy
#from libqtile.utils import guess_terminal
import subprocess
import os
# ================================ CONSTANTES SECTIONS ===================================================
#... | moiseR29/.dotfiles | .config/qtile/config-old.py | config-old.py | py | 15,375 | python | en | code | 0 | github-code | 90 |
27020818406 | import csv
import importlib
import subprocess
import webbrowser
import os
import random
import requests
import re
import sys
import pandas as pd
import numpy as np
from PyQt5.QtWidgets import (QTableView, QHeaderView , QMessageBox, QApplication, QMainWindow, QFileDialog, QAction, QTableWidget, QTextEdit, QTableWidgetIt... | GeoPyTool/GeoPyLite | Basement.py | Basement.py | py | 10,729 | python | en | code | 0 | github-code | 90 |
5969801161 | # This sample code uses the Appium python client v2
# pip install Appium-Python-Client
# Then you can paste this into a file and simply run with Python
from appium import webdriver
from appium.webdriver.common.appiumby import AppiumBy
from time import sleep
# For W3C actions
from selenium.webdriver.common.action_chain... | xiaocongsen/MakeDown_File | python/测试软件Appium学习/签到/肯德基.py | 肯德基.py | py | 3,461 | python | en | code | 0 | github-code | 90 |
9512471902 | from __future__ import print_function
"""
base class for generating code appropriate to the selected backend
"""
from ctree.visitors import NodeVisitor
from ctree.util import flatten
class CodeGenVisitor(NodeVisitor):
"""
Return a string containing the program text.
"""
def __init__(self, indent=0):... | mbdriscoll/ctree | ctree/codegen.py | codegen.py | py | 1,809 | python | en | code | 3 | github-code | 90 |
16687355563 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
# Time: O(n)
# Space: O(1)
# https://leetcode.com/problems/same-tree
class Solution:
def isSameTree(self, p: Optional[Tree... | jpal91/leetcode | Python/same-tree.py | same-tree.py | py | 1,068 | python | en | code | 0 | github-code | 90 |
34372456680 | #controllers/backend/categories/edit.py
import config
from bottle import template
from copy import deepcopy
from models.categorydb import editdb
def call(id):
kdict = deepcopy(config.kdict)
kdict['pageTitle'] = 'ទំព័រកែប្រែ'
kdict['route'] = 'category'
kdict['edit'] = True
categories,... | Sokhavuth/khmerweb-multimedia | controllers/backend/categories/edit.py | edit.py | py | 553 | python | en | code | 0 | github-code | 90 |
33696424710 | from typing import Any, List, Tuple
import numpy as np
import tensorflow as tf
import tensorflow.keras as keras
def convolution(
features: int, k_size: int, strides: int = 1, bias: bool = True, name: str = None
):
return keras.layers.Conv2D(
features, k_size, strides, use_bias=bias, padding="same", na... | dblincoe/csds-438-super-resolution | models/common.py | common.py | py | 5,858 | python | en | code | 1 | github-code | 90 |
72289509418 | import warnings
import copy
import sys
class Node:
def __init__(self, name, neighbors=[], occupant=None, occupiable=True):
self.name = name
self.neighbors = set(neighbors)
self.occupant = occupant
self.occupiable = occupiable
def connect(self, neighbor):
self.neighb... | jlazear/advent2021 | day23/amphipods.py | amphipods.py | py | 8,096 | python | en | code | 0 | github-code | 90 |
12848491465 | from fastapi_pagination import Params, paginate
from loguru import logger
from clients.remote_component_client import remote_component_client
from core.enum.component_enum import is_state
from database.session import SessionClass
from repository.application.application_repo import application_repo
from repository.comp... | wutong-paas/wutong-console | service/mnt_service.py | mnt_service.py | py | 11,761 | python | en | code | 6 | github-code | 90 |
23585174541 | from matplotlib import pyplot as plt
variance = [1, 2, 4, 8, 16, 32, 64, 128, 256]
bias_squared = [256, 128, 64, 32, 16, 8, 4, 2, 1]
# Суммарная ошибка
total_error = [x + y for x, y in zip(variance, bias_squared)]
xs = [i for i, _ in enumerate(variance)]
print(xs)
plt.plot(xs, variance, 'g-', label='дисперсия')
plt... | 1mmo/data-science-learning | LineGraphs.py | LineGraphs.py | py | 640 | python | ru | code | 0 | github-code | 90 |
19921171426 | import os
import json
import sys
import copy
import torch
import argparse
from tqdm import tqdm
sys.path.append('../../../')
sys.path.append('../../../python_parser')
from python_parser.run_parser import get_identifiers, remove_comments_and_docstrings, get_example_batch
from utils import _tokenize
from trans... | tianzhaotju/CODA | test/CloneDetection/dataset/get_reference.py | get_reference.py | py | 8,676 | python | en | code | 5 | github-code | 90 |
7593781060 | # coding = utf-8
import sys
import os
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import (QApplication, QMenuBar, QGridLayout, QPushButton, QDialog,
QLabel, QTableView, QHeaderView, QLineEdit, QFormLayout, QMessageBox, QFileDialog)
from PyQt5.QtGui import QPixmap, QFont, QImage
from Py... | ULTRAMANSE/maxface | UIface.py | UIface.py | py | 27,958 | python | en | code | 0 | github-code | 90 |
2334871256 | import pandas as pd
import numpy as np
from model.gmf import GMFEngine
from model.mlp import MLPEngine
from model.neumf import NeuMFEngine
from data import SampleGenerator
import os
import torch
torch.cuda.is_available()
import argparse
# procedures on training each model
def train_model(model, config):
engine =... | sleung852/tdc-product-recommendation | train_v3.py | train_v3.py | py | 5,202 | python | en | code | 0 | github-code | 90 |
18582683919 | import sys
Q = int(input())
pair = []
MAX = 0
for i in range(Q):
l, r = map(int, input().split())
MAX = max(MAX, l, r)
pair.append((l, r))
N = 101010
N = 25
N = MAX + 1
is_prime = [1 for i in range(N)]
is_prime[0] = is_prime[1] = 0
# sieve
for i in range(2, N):
if not is_prime[i]:
# 0, 1, ... | Aasthaengg/IBMdataset | Python_codes/p03476/s437285248.py | s437285248.py | py | 818 | python | en | code | 0 | github-code | 90 |
14012231198 | import json
import os
import deepspeed
import torch
from deepspeed.ops.adam import DeepSpeedCPUAdam, FusedAdam
from transformers.modeling_utils import no_init_weights
from elixir.kernels.attn_wrapper import wrap_attention
from elixir.utils import get_model_size
from example.common.models import get_model
def train_... | hpcaitech/Elixir | example/common/ds.py | ds.py | py | 1,995 | python | en | code | 8 | github-code | 90 |
22436531168 | import asyncio
import logging
import os
import time
from datetime import datetime
from PyDictionary import PyDictionary
from userbot import TEMP_DOWNLOAD_DIRECTORY, bot
from userbot.events import register
from userbot.utils import progress
@register(outgoing=True, pattern=r"^\.def(?: |$)(.*)")
async def _(event):
... | niteshraj2310/RemixGeng | userbot/modules/test.py | test.py | py | 7,557 | python | en | code | 9 | github-code | 90 |
71795060137 | import scrapy
from design.items import DesignItem
import json
data = {
'channel': 'laisj',
'evt': 3,
}
class DesignCaseSpider(scrapy.Spider):
name = 'laisj'
allowed_domains = ['www.laisj.com']
page = 1
def start_requests(self):
yield scrapy.FormRequest(
u... | LIMr1209/Internet-worm | design/design/spiders/laisj.py | laisj.py | py | 2,114 | python | en | code | 0 | github-code | 90 |
14013963706 | from django.shortcuts import render,redirect
from django.contrib import messages
from .forms import Productaddform
from .models import ProductForCustomer,CustomerCheckout
from Home.models import UserData
from django.contrib.auth.decorators import login_required
import razorpay
from django.conf import settings
from dja... | pramodthundathil/Smartfarm | Products/views.py | views.py | py | 7,268 | python | en | code | 0 | github-code | 90 |
40239596698 | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 3 15:34:06 2021
@author: SethHarden
"""
import sys
class Solution(object):
fp = 0
def read(buf, n):
"""
:type buf: Destination buffer (List[str])
:type n: Number of characters to read (int)
:rtype: The number of ac... | sethmh82/SethDevelopment | Practice/Read-Buffer.py | Read-Buffer.py | py | 708 | python | en | code | 1 | github-code | 90 |
10544729886 | import config
from other.colors import bcolors as bcolors
def enter(BuySell):
if config.mode == 'live':
direction = True
if BuySell == "S":
direction = False
try:
config.con.open_trade(symbol=config.currency, is_buy=direction, amount=config.amount,
... | SillyDEV/Market-Finance-Introduction-Forex | update/buyAndSell.py | buyAndSell.py | py | 3,769 | python | en | code | 0 | github-code | 90 |
32452926319 |
from sys import stdin
import sys
sys.setrecursionlimit(10000)
stdin = open("input.txt", "r")
row_max, col_max = map(int, stdin.readline().split())
height_ary = [list(map(int, stdin.readline().split())) for _ in range(row_max)]
check = [[-1] * col_max for _ in range(row_max)]
check[row_max - 1][col_m... | choekko/algorithm | Python/inJungle/4주차/시험2tmp.py | 시험2tmp.py | py | 1,972 | python | ko | code | 0 | github-code | 90 |
44996270049 | #Module_Name: initProject
#Author: Dahir Muhammad Dahir
#Date: 27-February-2018
#About: this module initialize the projects, allows the user
# to choose what the want to do.
from startNewProject import startNewProject
from continueExistingProject import continueExistingProject
from updateExistingProject import u... | Ethic41/codes | python/dmcrawl/modules/initProject.py | initProject.py | py | 2,058 | python | en | code | 1 | github-code | 90 |
86592238498 | import decimal
import re
from enum import Enum
from typing import Optional, Union
from boto3.dynamodb.conditions import Key
from boto3.dynamodb.types import TypeSerializer, TypeDeserializer
from botocore.exceptions import ClientError
from typhoon.aws.boto3_helper import boto3_session
from typhoon.aws.exceptions impor... | typhoon-data-org/typhoon-orchestrator | typhoon/aws/dynamodb_helper.py | dynamodb_helper.py | py | 6,091 | python | en | code | 29 | github-code | 90 |
18895315715 |
def one_binary_function(key, string):
string_ord = []
binary_ord = []
cipher_list = []
final_list = []
for c in string:
string_ord.append(ord(c))
for i in string_ord:
binary_ord.append(bin(i))
binary_key = bin(key)
counter = 0
for b in binary_ord:... | Patchyst/XOR-Encryption-GUI | encryption1function.py | encryption1function.py | py | 581 | python | en | code | 1 | github-code | 90 |
18386900339 | #https://atcoder.jp/contests/diverta2019-2/submissions/11229318
n = int(input())
t = [tuple(map(int, input().split())) for _ in range(n)]
s = set(t)
cnt = 0
for i in range(n-1):
for j in range(i+1,n):
u,v = t[i]
x,y = t[j]
p = u-x; q = v-y
c = sum((x-p, y-q) in s for x,y in t)
if cnt < c: cnt = c
... | Aasthaengg/IBMdataset | Python_codes/p03006/s835988517.py | s835988517.py | py | 333 | python | en | code | 0 | github-code | 90 |
13266318402 | # !/user/bin/env python
# -*- coding:utf-8 -*-
# author:Zfy date:2021/9/4 17:46
import math
def func(m, n):
sum = 0
for i in range(n):
sum += m
m = math.sqrt(m)
return round(sum, 2)
print(func(2, 2))
| feiyu7348/python-Learning | 普通练习/数列和.py | 数列和.py | py | 235 | python | en | code | 0 | github-code | 90 |
20432301020 | import functools
arr = ['fab', 'fed', 'f', 'ed','e']
ab = {'f':10,'e':11,'d':12,'c':13,'b':14,'a':15}
def comparator(a,b):
s_a = ''
s_b = ''
for i in a:
s_a += str(ab[i])
for i in list(b):
s_b += str(ab[i])
print(s_a,s_b)
if s_a > s_b:
return 1
else:
... | NyeongB/python_2 | test1.py | test1.py | py | 401 | python | en | code | 0 | github-code | 90 |
18067766809 | N = int(input())
l = list(map(int,input().split()))
l_ans = [[] for _ in range(201)]
for i in range(-100,101):
sum = 0
for j in range(N):
sum = sum + (i-l[j])**2
l_ans[i+100] = sum
print(min(l_ans)) | Aasthaengg/IBMdataset | Python_codes/p04031/s485808660.py | s485808660.py | py | 222 | python | en | code | 0 | github-code | 90 |
42986062636 | from math import *
# tính tổng hai class phân số trong python
class P:
def __init__(po,tu=None,mau=None):
po.tu = tu
po.mau = mau
# hàm __str__ là hàm có sẵn, xác định kiểu chuỗi trả vè dc hiển thị như thế nào
def __str__(po):
return f'{po.tu}/{po.mau}'
# khi goi a+b thif nó... | nguyenkien0703/python_ptit | PY04004.py | PY04004.py | py | 759 | python | vi | code | 0 | github-code | 90 |
19644717354 | from AlorPy import AlorPy # Работа с Alor OpenAPI V2
from Config import Config # Файл конфигурации
if __name__ == '__main__': # Точка входа при запуске этого скрипта
apProvider = AlorPy(Config.UserName, Config.RefreshToken) # Подключаемся к торговому счету. Логин и Refresh Token берутся из файла Config.py
... | KlimShaman/trading | Examples/02 - Accounts.py | 02 - Accounts.py | py | 4,351 | python | ru | code | 0 | github-code | 90 |
27144426678 | def calculate_tax(yearly_salary):
tax_brackets = [
(0, 22000, 0.1),
(22001, 89450, 0.12),
(89451, 190750, 0.22),
(190751, 364200, 0.24),
(364201, 462500, 0.32),
(462501, 693750, 0.35),
(693750, float('inf'), 0.37)
]
tax_owed = 0
salary_remaining ... | Zrebric/Python | main.py | main.py | py | 818 | python | en | code | 0 | github-code | 90 |
2805535329 | from django.urls import path
from .import views
app_name = 'foncier'
urlpatterns = [
path('DimFoncier/', views.DimFon, name='DimFoncier'),
path('DimFoncierGouvernanc/', views.DFG, name='DimFoncierGouvernanc'),
# path('DimGeographie/', views.DG, name='DimGeographie'),
# path('FactFoncier/', views.FF, n... | ndire92/daroukhoudosse | foncier/urls.py | urls.py | py | 739 | python | fr | code | 0 | github-code | 90 |
1911866221 | class Portfolio:
def __init__(self, asset, fiat, interest_asset = 0, interest_fiat = 0):
self.asset =asset
self.fiat =fiat
self.interest_asset = interest_asset
self.interest_fiat = interest_fiat
def valorisation(self, price):
return sum([
self.asset * price,
... | ClementPerroud/Gym-Trading-Env | src/gym_trading_env/utils/portfolio.py | portfolio.py | py | 3,092 | python | en | code | 141 | github-code | 90 |
20667958391 | import pytest
from lxml.builder import ElementMaker
from podcast_dl import rss_parsers as rspa
def _make_item(url, title, episode=None, link=None):
episode_ns = "http://www.itunes.com/dtds/podcast-1.0.dtd"
E = ElementMaker(nsmap={"itunes": episode_ns})
item = E.item(
E.enclosure(url=url, length="... | kissgyorgy/simple-podcast-dl | tests/test_filename_parsers.py | test_filename_parsers.py | py | 5,936 | python | en | code | 51 | github-code | 90 |
30287519438 | def print_file():
with open("class.txt", mode="r", encoding="utf-8") as f:
num = 0
summ = 0
for line in f:
l = line.split(" ")
grade = int(l[2])
num += 1
summ += grade
if grade < 3:
print(line)
print("Средний... | nikita26078/Python-exercises | ex10/4.py | 4.py | py | 368 | python | en | code | 0 | github-code | 90 |
23943886195 | # fungsi type() untuk mengetahui type-type data
a = 10 # tipe data int
b = "bejo" # tipe data str
c = 17.5 # tipe data float
d = True # tipe data boolean
print("Nilai data a adalah",type(a))
print("NIlai data b adalah",type(b))
print("Nilai data c adalah",type(c))
print("Nilai data d adalah", type(d))
## tipe data k... | Mfadlyp/Python_Basic | 2. Tipe data/Main.py | Main.py | py | 497 | python | id | code | 0 | github-code | 90 |
18804705682 | import torch
import torch.nn as nn
import torch.nn.functional as F
from model.model_utils import _get_padding_mask, _get_visibility_mask
from cadlib.macro import CMD_ARGS_MASK
class CADLoss(nn.Module):
def __init__(self, cfg):
super().__init__()
self.n_commands = cfg.n_commands
self.args_... | ChrisWu1997/DeepCAD | trainer/loss.py | loss.py | py | 1,456 | python | en | code | 167 | github-code | 90 |
35351353057 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import json
import requests
from datetime import datetime,date,timede... | sreyansb/Vaccine_notifier | api_in_python.py | api_in_python.py | py | 4,427 | python | en | code | 6 | github-code | 90 |
38107239073 | import pandas as pd
from magicPlanAPI import MagicPlanAPI
class DataCentre:
def __init__(self):
"""
Instance to simulate a Cache by storing values in files and reading at the start of the program into variables
"""
self.paths = {
'plans': 'resources/data/plans.json',
... | jkleinau/aufmassConverterPy | dataCentre.py | dataCentre.py | py | 3,146 | python | en | code | 0 | github-code | 90 |
31381940634 | from socket import *
from time import *
import os
host = ''
port = 520
bufsize = 1024
addr = (host, port)
sersock = socket(AF_INET, SOCK_STREAM)
sersock.bind(addr)
sersock.listen(5)
def getstatus(cmd):
info = os.popen(cmd)
info_text = info.read()
info_status = info.close()
return info_text, info_sta... | xahiddin/MyPython | sockets/server.py | server.py | py | 733 | python | en | code | 0 | github-code | 90 |
72555633897 | # Chapter 9 Case study: Word play > Think python
import csv
import textwrap
fin = open('words.txt')
fin.readline()
'a\ar\n'
line = fin.readline()
word = line.strip()
print(word)
'''
fin = open('words.txt')
for line in fin:
word = line.strip()
print(word)
'''
# Inner exercises
# 9-1
'''
fin = open('words.... | joakor89/Think-Python | chapter_9.py | chapter_9.py | py | 6,283 | python | en | code | 0 | github-code | 90 |
18543226999 | a,b,c,x,y = map(int,input().split())
ans = 0
ab = min(a+b,c*2)
temp = min(x,y)
ans += ab*temp
x -= temp
y -= temp
ans += min(a,c*2)*x
ans += min(b,c*2)*y
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03371/s621425941.py | s621425941.py | py | 165 | python | en | code | 0 | github-code | 90 |
34371232724 | import os
from flask import Flask, render_template, request
import memcache
mc = memcache.Client(['127.0.0.1:11211'], debug=0)
mc.set("Issledovanie_matematiki", "Ivanov,2000,publons/1")
mc.set("Issledovanie_fiziki", "Petrov,2001,publons/2")
mc.set("Issledovanie_himii", "Ivanov,2002,pubmed/1")
mc.set("Issledova... | moevm/nosql2h21-papers-memcached | main.py | main.py | py | 2,140 | python | en | code | 0 | github-code | 90 |
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