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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
31535948366 | Ps = 2.3
Vs = 7.4
Pc = input("Entrez la pression courante : ")
Vc = input("Entrez la voulume courante : ")
if Pc > Ps and Vc > Vs:
print("Arret immediat")
elif Pc > Ps and Vc < Vs :
print("Augmenter le volume de lenceinte")
elif Pc < Ps and Vc > Vs:
print("Diminuer le volume de lenceinte")
else:
prin... | Raike/esiea | 1A/python/tp2/Enceinte.py | Enceinte.py | py | 338 | python | fr | code | 0 | github-code | 90 |
5811984240 | from PIL import Image
import skimage as iaf
import matplotlib.pyplot as plt
import numpy as np
import cv2
import pywt
import pywt.data
import argparse
NO_OF_CHANNELS = 3
class ImageChannels():
def __init__(self):
self.img_channel_B = []
self.img_channel_G = []
self.img... | mjain01/Copy-Move-Image-Forgery-Detection | Dywt_color.py | Dywt_color.py | py | 3,449 | python | en | code | 8 | github-code | 90 |
10240116899 | # Recursive Feature Elimination
import pandas as pd
from sklearn.feature_selection import RFE # RFE is algo specific
from sklearn.linear_model import LogisticRegression # since o/p was discrete
import warnings
warnings.filterwarnings(action="ignore")
filename = 'indians-diabetes.data.csv'
hnames = [... | aksharanigam1112/MachineLearningIITK | packageML04/ML32.py | ML32.py | py | 825 | python | en | code | 0 | github-code | 90 |
30552890555 | import requests
from bs4 import BeautifulSoup
import re
import pymongo
from multiprocessing import Pool
client = pymongo.MongoClient('localhost', 27017)
mydb = client['mydb']
jianshu_shouye = mydb['jianshu_shouye']
headers = {'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_3) AppleWebKit/537.36 (KHTML, li... | wsj2012/PythonLib | Practise/jianshu.py | jianshu.py | py | 2,144 | python | en | code | 0 | github-code | 90 |
69878997736 | import selenium
from selenium import webdriver
import time
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.chrome.options import Options
import csv
from selenium.webdriver.common.action_chains import ActionChains
# 디버깅 모드
chrome_options = Options()
ch... | jeongseokmandoo/NEXT_HW | Session5/naver3.py | naver3.py | py | 1,782 | python | en | code | 0 | github-code | 90 |
3393496614 | from typing import List
import numpy as np
import torch
from torch import nn
from base import GridWorldBase
from utils import load_model, CWD, device
class GWPgModel(nn.Module):
def __init__(self, size: int, units: List[int]):
super().__init__()
self.size = size
self.first = nn.Sequenti... | Akhilez/ml_api | grid_world/pg.py | pg.py | py | 1,469 | python | en | code | 0 | github-code | 90 |
34998658929 | from django.urls import path
from . import views
app_name = 'home-energy'
urlpatterns = [
# ex: /home-energy/
path('', views.usage, name='usage'),
# ex: /home-energy/usage.html
path('usage.html', views.usage, name='usage'),
# ex: /home-energy/latest_usage
# ex: /home-energy/latest_usage/
... | peterpickle/home-energy | web/home_energy/urls.py | urls.py | py | 1,630 | python | en | code | 1 | github-code | 90 |
5044454452 | def main():
_, X = map(int, input().split())
S = input()
stack = []
for s in S:
if stack and s == "U" and stack[-1] != "U":
stack.pop()
else:
stack.append(s)
for s in stack:
if s == "U":
X //= 2
elif s == "L":
X *= 2
... | valusun/Compe_Programming | AtCoder/ABC/ABC243/D.py | D.py | py | 413 | python | en | code | 0 | github-code | 90 |
14419771643 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
# from django.contrib.auth import get_user_model
from django.utils.translation import ugettext_lazy as _
# from django.utils.translation import ugettext_lazy as _, ungettext
# from django_comments import get_model
# from d... | NicolasMura/social-wall | social/admin.py | admin.py | py | 5,263 | python | en | code | 0 | github-code | 90 |
18318297269 | h,w,k = map(int, input().split())
S = []
for _ in range(h):
S.append(list(input()))
ans = [[0]*w for _ in range(h)]
ans = []
first_row_flag = True
first_row_cnt = 0
curr_num = 1
for i in range(h):
row = []
curr_s_row = S[i]
if '#' in S[i]:
ichigo = 0
for j in range(w):
if cu... | Aasthaengg/IBMdataset | Python_codes/p02855/s808095607.py | s808095607.py | py | 798 | python | en | code | 0 | github-code | 90 |
34443913680 | from collections import deque
H,W = map(int,input().split())
c =[]
c.append(['#' for _ in range(W+2)])
ans = [[0 for _ in range(W+2)]for _ in range(H+2)]
score = 0
for i in range(H):
tmp = list('#'+input()+'#')
c.append(tmp)
for j in range(W+2):
if tmp[j] == '.':
score += 1
c.append(['... | Hoshino0116/Programs | AtCoderBeginnerContest088-D.py | AtCoderBeginnerContest088-D.py | py | 1,086 | python | en | code | 0 | github-code | 90 |
43841759627 | # Course: CS261 - Data Structures
# Author: Kent Chau
# Assignment: 6
# Description: Graphs
import heapq
from collections import deque
class DirectedGraph:
"""
Class to implement directed weighted graph
- duplicate edges not allowed
- loops not allowed
- only positive edge weights
- vertex nam... | kentomagento/DirectedAndUndirectGraphImplementation | d_graph.py | d_graph.py | py | 14,206 | python | en | code | 0 | github-code | 90 |
17654873247 | """Dataclasses for Message Schedulers"""
from enum import Enum
from datetime import datetime, timedelta
from dataclasses import dataclass, field
from typing import Any
class ScheduleType(Enum):
"""Class that defines the params that should be implement for APScheduler.
Attributes
----------
DATE : in... | myaspm/interview | video-tools/app/libs/scheduler_models.py | scheduler_models.py | py | 7,700 | python | en | code | 0 | github-code | 90 |
20940479678 | #!/usr/bin/python
## convert text feed data into XML files
import uuid
from collections import namedtuple
from lxml import etree
from xml.sax.saxutils import unescape
from bs4 import BeautifulSoup
import re
Person = namedtuple("Person", ["name", "id", "source", "title", "date", "snippet"])
trove_link = 'http://trov... | stevecassidy/trovenames | scripts/convert_xmls1.py | convert_xmls1.py | py | 4,046 | python | en | code | 0 | github-code | 90 |
73173567655 | '''
Created on Sep 30, 2020
@author: pc
'''
from pickletools import uint1
class BinOutput(object):
'''
binary output
'''
def __init__(self,hub,slave, offset):
'''
Constructor
'''
self._slave = slave
self._hub = hub
self._offset = offs... | jlola/homeassistant-config | custom_components/modified_modbus/ModbusStructure/BinOutput.py | BinOutput.py | py | 2,112 | python | en | code | 0 | github-code | 90 |
13356021911 | import os
import pytest
from unittest.mock import patch
from api_flow.complex_namespace import ComplexNamespace
from api_flow.context import Context
@pytest.fixture
def mock_from_yaml():
with patch.object(ComplexNamespace, 'from_yaml') as mock_from_yaml:
yield mock_from_yaml
@pytest.fixture(autouse=True... | rothomas/api_flow | tests/test_context.py | test_context.py | py | 1,988 | python | en | code | 2 | github-code | 90 |
21204349852 | from unityagents import UnityEnvironment
class TennisEnv:
def __init__(self, env_path):
self.env = UnityEnvironment(file_name=env_path)
self.brain_name = self.env.brain_names[0]
brain = self.env.brains[self.brain_name]
self.action_size = brain.vector_action_space_size
self.... | imed-bh/udacity-drl-multiagent | src/tennis_env.py | tennis_env.py | py | 1,340 | python | en | code | 1 | github-code | 90 |
23649570523 | def main():
output = ""
print(output)
for i in range(1, 101):
if not i % 3:
output += "fizz"
if not i % 5:
output += "buzz"
print(f"{output or i}")
output = ""
if __name__ == "__main__":
main()
| FuriousSheep/100DaysOfCode | Day_005/FizzBuzz.py | FizzBuzz.py | py | 276 | python | en | code | 0 | github-code | 90 |
12837914380 | from backend.aux_funcs.aux_generic import response
from backend.aux_funcs.aux_meeting import (
get_meeting_from_code,
get_meeting_from_mod,
user_is_mod,
create_meeting,
delete_meet_from_code,
user_is_connected_to_meet,
disconnect_user_from_meet
)
from django.forms.models import model_to_dic... | firehellrain/my-turn | myturn/backend/views/meeting_views.py | meeting_views.py | py | 3,054 | python | es | code | 1 | github-code | 90 |
31408805518 | # Import HDFArchive and some TRIQS modules
from h5 import HDFArchive
from triqs.gf import *
import triqs.utility.mpi as mpi
# Import main SOM class
from som import Som
# Import statistical analysis functions
from som.spectral_stats import spectral_avg, spectral_disp, spectral_corr
energy_window = (-4.0, 4.0) # Energ... | krivenko/som | doc/examples/spectral_stats/example.py | example.py | py | 2,737 | python | en | code | 15 | github-code | 90 |
3110742732 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import pathlib, pickle, copy, time
import plotly.io as pio
pio.renderers.default = 'browser'
pd.options.plotting.backend = "plotly"
from emhass.retrieve_hass import retrieve_hass
from emhass.forecast import forecast
from emhass.util... | davidusb-geek/emhass | scripts/load_forecast_sklearn.py | load_forecast_sklearn.py | py | 11,826 | python | en | code | 196 | github-code | 90 |
18391661639 | import sys
L = list(sys.stdin.readline().strip())
mod = 10**9 + 7
ls = len(L)
# 左からi桁目で、L以下が確定しているかどうか（True /False）の場合の(a, b)の組み合わせの総数
dp = [[0 for i in (True, False)] for _ in range(ls)]
# 1からしか始まらない
dp[0][False] = 2
dp[0][True] = 1
for i in range(ls-1):
for j in (True, False):
if L[i+1] == "1":
... | Aasthaengg/IBMdataset | Python_codes/p03015/s755917011.py | s755917011.py | py | 750 | python | ja | code | 0 | github-code | 90 |
24092140085 | import pandas as pd
#fecha_apertura
#fecha_internacion
#pour chaque région
#pour chaque mois
#divide confirmed cases by death counts (with time delay?)
def simplify(text):
import unicodedata
try:
text = unicode(text, 'utf-8')
except NameError:
pass
text = unicodedata.normalize('NFD', text).encode('ascii', 'i... | ReallyRad/ArgentinaIvermectina | CFRxMonthxRegion.py | CFRxMonthxRegion.py | py | 2,795 | python | en | code | 0 | github-code | 90 |
42121865012 | import numpy as np
import torch
from torch.autograd import Variable
import glob
import cv2
from PIL import Image as PILImage
import Model as Net
import os
import time
from argparse import ArgumentParser
pallete = [[128, 64, 128],
[244, 35, 232],
[70, 70, 70],
[102, 102, 156],
... | sacmehta/ESPNet | test/VisualizeResults.py | VisualizeResults.py | py | 7,347 | python | en | code | 526 | github-code | 90 |
4175342429 | class Solution(object):
def findLadders(self, beginWord, endWord, wordList):
"""
:type beginWord: str
:type endWord: str
:type wordList: List[str]
:rtype: List[List[str]]
"""
if endWord not in wordList:
return []
wordList.remove(endWord)
... | HopeCheung/Programing-materials | leetcode/leetcode126-127(word lader).py | leetcode126-127(word lader).py | py | 2,217 | python | en | code | 0 | github-code | 90 |
18010480569 | def distance(coordinate1, coordinate2):
x1 = coordinate1[0]
y1 = coordinate1[1]
x2 = coordinate2[0]
y2 = coordinate2[1]
return abs(x1 - x2) + abs(y1 - y2)
def main():
n, m = map(int, input().split())
ab_lst = [list(map(int, input().split())) for _ in range(n)]
cd_lst = [list(map(int, i... | Aasthaengg/IBMdataset | Python_codes/p03774/s504957999.py | s504957999.py | py | 854 | python | en | code | 0 | github-code | 90 |
18494363149 | from collections import Counter
n,m=map(int,input().split())
primes=[]
mod=10**9+7
def modinv(x):
return pow(x,mod-2,mod)
i=2
while i*i<=m:
if m%i==0:
while m%i==0:
primes.append(i)
m//=i
i+=1
if m>1:
primes.append(m)
cnt=Counter(primes)
invlst=[1]*(2*10**5)
f... | Aasthaengg/IBMdataset | Python_codes/p03253/s994233855.py | s994233855.py | py | 574 | python | en | code | 0 | github-code | 90 |
27576109652 | from smtplib import SMTP, SMTPConnectError, SMTPAuthenticationError
import mimetypes
from email import encoders
from email.message import Message
from email.mime.audio import MIMEAudio
from email.mime.base import MIMEBase
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.... | twotwo/python-libs | smtp/mail_tool.py | mail_tool.py | py | 8,728 | python | en | code | 0 | github-code | 90 |
42595506833 | import numpy as np
from implementations import *
from proj1_utils import *
from proj1_helpers import *
def build_k_indices(y, k_fold, seed):
"""Build k indices for k-fold.
Args:
y (numpy.ndarray): ground truth labels
k_fold (int) : number of current fold
... | AndresMontero/ML_2019_EPFL | projects/project1/scripts/proj1_cross_validation.py | proj1_cross_validation.py | py | 11,700 | python | en | code | 1 | github-code | 90 |
12326144650 | """ Common classes and methods library.
This package is intended to provide reusable code classes and libraries that
may be common to use by other projects.
"""
__author__ = "Brian Allen Vanderburg II"
__copyright__ = "Copyright (C) 2018-2019 Brian Allen Vanderburg II"
__license__ = "Apache License 2.0"
__version__ ... | brianvanderburg2/python-mrbaviirc-common | mrbaviirc/common/__init__.py | __init__.py | py | 609 | python | en | code | 0 | github-code | 90 |
18322092859 | def main():
N, T = (int(i) for i in input().split())
AB = [[int(i) for i in input().split()] for j in range(N)]
AB.sort()
ans = 0
dp1 = [[0]*(T+1) for _ in range(N+1)]
for i in range(N):
for j in range(T):
t = j - AB[i][0]
if 0 <= t:
dp1[i+1][j] =... | Aasthaengg/IBMdataset | Python_codes/p02863/s541124956.py | s541124956.py | py | 518 | python | en | code | 0 | github-code | 90 |
22086790895 | import asyncio
import websockets
from contextlib import suppress
from threading import Thread
from core.websocket.context import Context
from core.module.message import *
class WebsocketServer(Thread):
def __init__( self, application, host, port ):
super(WebsocketServer, self).__init__()
self._... | Korbier/PyWsServer | core/websocket/server.py | server.py | py | 2,638 | python | en | code | 0 | github-code | 90 |
33734765274 | #twoinone_game.py
import dark_room
import Guess_game
def help():
print("This is a two in one game!!\nThe adventure 'DARK ROOM' and the logical 'GUESS GAME'")
print("Enter <D> to play 'DARK ROOM' | <G> for 'GUESS GAME'")
print("As usual, Enter <quit> to quit and <help> to see this message again")
def main(... | Kingdageek/Learn_Python | twoinone_game.py | twoinone_game.py | py | 760 | python | en | code | 0 | github-code | 90 |
7866132716 | # https://school.programmers.co.kr/learn/courses/30/lessons/42884
def solution(routes):
answer = 1
routes = sorted(routes, key= lambda x: x[0])
print(routes)
camera = routes[0][1]
for idx, val in enumerate(routes[1:]):
if val[0] <= camera:
camera = min(camera, val[1])
els... | GitofHJH/Programmers-with-Python | Level_3/230329 단속카메라.py | 230329 단속카메라.py | py | 458 | python | en | code | 0 | github-code | 90 |
43962269017 | def report(clf):
"""
Prints the metrics of a classification model
"""
# fit the classifier
clf.fit(X_train, y_train)
# make predictions
y_pred = clf.predict(X_test)
# print accuracy metrics
report = classification_report(y_test, y_pred)
print(report)
fig, ax = plt... | shsobieski/CustomerSentiment | functions/report.py | report.py | py | 400 | python | en | code | 2 | github-code | 90 |
12130780709 | # -*- coding: utf-8 -*-
"""
.. codeauthor:: Daniel Seichter <daniel.seichter@tu-ilmenau.de>
"""
import os
import numpy as np
import cv2
from operator import attrgetter
def load(filepath, mode=None):
if not os.path.exists(filepath):
raise IOError("No such file or directory: '{}'".format(filepath))
if ... | TUI-NICR/rgbd-person-perception | src/datasets/img_utils.py | img_utils.py | py | 6,580 | python | en | code | 0 | github-code | 90 |
70986759336 | import sys
import os
import matplotlib.pylab as plt
from scipy.stats import norm
def plot_normal(random_numbers, path=""):
"""
A function to graphically check a random distribution's
fit to a theoretical normal.
"""
fig=plt.figure(figsize = (8,6)) # Create a figure to plot in (good habit)
# His... | drewconway/strata_bootcamp | code/text_data/first_viz/first_viz.py | first_viz.py | py | 837 | python | en | code | 94 | github-code | 90 |
18323731069 | import sys
read = lambda: sys.stdin.readline().rstrip()
class Solution(object):
def counting_tree(self, N, D):
#import collections
tot = 1
#cnt = collections.Counter(D)
cnt = [0]*N
for i in D:
cnt[i]+=1
for i in D[1:]:
tot = tot * cnt[i-1]%... | Aasthaengg/IBMdataset | Python_codes/p02866/s615350605.py | s615350605.py | py | 546 | python | en | code | 0 | github-code | 90 |
36710031630 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('servicelist', '0008_auto_20150526_1507'),
]
operations = [
migrations.CreateModel(
name='SiteConfiguration',
... | codaha/servicelist | servicelist/migrations/0009_siteconfiguration.py | 0009_siteconfiguration.py | py | 738 | python | en | code | 0 | github-code | 90 |
4657882620 | """
This is a personal investment strategy that can be modified to suit your
personal investment purposes.
"""
from investment_strategy.stock_investment_strategy import StockInvestmentStrategy
class PersonalStrategy(StockInvestmentStrategy):
"""
Personal investment strategy.
"""
def recommend_good_s... | yangliunewyork/StockPicker | investment_strategy/personal_strategy.py | personal_strategy.py | py | 2,609 | python | en | code | 2 | github-code | 90 |
10669002510 | import telegram
import UserData
from User import User
import logging
import config
logger = logging.getLogger("BotLogic")
# Server token
# token = "134496856:AAEJKACPo9RYAiZd5Q_GtXE9NGEDx5-e84o"
# Dev token
token = "134144850:AAH1DoOjDIXc27JZuKIl2xs_wjFPpKBNui0"
admin_id = 93894659
def __check_user(user):
if user... | PeterZhizhin/RUZBot | BotLogic.py | BotLogic.py | py | 1,483 | python | en | code | 1 | github-code | 90 |
40942889120 | # Why should you learn to write programs? 7746
# 12 1929 8827
# Writing programs (or programming) is a very creative
# 7 and rewarding activity. You can write programs for
# many reasons, ranging from making your living to solving
# 8837 a difficult data analysis problem to having fun to helping 128
# someone else sol... | 3mjay/PY4E | py4e/ex_11/ex_11_assignment.py | ex_11_assignment.py | py | 1,023 | python | en | code | 0 | github-code | 90 |
18458096569 | #!/usr/bin/env python3
# from numba import njit
# input = stdin.readline
# @njit
def solve(n,a,b):
delta = [b[i] - a[i] for i in range(n)]
need = list(x for x in delta if x > 0)
amari = list(sorted((abs(x) for x in delta if x < 0),reverse=True))
needScore = sum(need)
if needScore > sum(amari):
return -... | Aasthaengg/IBMdataset | Python_codes/p03151/s071976238.py | s071976238.py | py | 626 | python | en | code | 0 | github-code | 90 |
26584454673 | from datetime import datetime, timedelta
from baseball_scraper import espn
import pytest
def test_scrape_probable_starters(espn_probable_starters):
df = espn_probable_starters.scrape()
print(df)
assert(len(df.index) == 42)
assert(df.iloc[20]['Name'] == 'James Paxton')
assert(df.iloc[20]['espn_id']... | slippin-jim/sb | baseball_scraper/tests/test_espn.py | test_espn.py | py | 645 | python | en | code | 0 | github-code | 90 |
17637162287 | import re,sys,urllib2,HTMLParser, urllib, urlparse
import xbmc, random
#from resources.lib.libraries import cloudflare
from resources.lib.lib import control
def shrink_host(url):
u = urlparse.urlparse(url)[1].split('.')
u = u[-2] + '.' + u[-1]
return u.encode('utf-8')
IE_USER_AGENT = 'Mozilla/5.0 (Wi... | mrknow/filmkodi | plugin.video.mrknowtv/resources/lib/lib/client.py | client.py | py | 14,353 | python | en | code | 66 | github-code | 90 |
18394354329 | def d_maximum_sum_of_minimum(N, Nodes, C):
# 根から始め、巡回した葉にCの大きなものから順に書き込んで行く。
import sys
sys.setrecursionlimit(10**6)
int_list = list(sorted(C))
graph = [[] for _ in range(N)]
for u, v in Nodes: # 0-basedとする
graph[u - 1].append(v - 1)
graph[v - 1].append(u - 1)
def traverse... | Aasthaengg/IBMdataset | Python_codes/p03026/s060799925.py | s060799925.py | py | 1,036 | python | en | code | 0 | github-code | 90 |
40145123893 | from scipy import ndimage
import scipy as sp
import numpy as np
import pandas as pd
def rawTextScansToDataframe(filename='scans.txt', gaussian=False, sigma=1):
scanfile = open(filename, 'r')
pd.DataFrame()
name=''
integration=''
scans = []
for line in scanfile:
line=line.strip()
... | ufecodyn/minispect | AIM2021/minispect.py | minispect.py | py | 795 | python | en | code | 1 | github-code | 90 |
38163608025 | import torch
from mmseg.ops import resize
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils import is_dynamic_shape
@FUNCTION_REWRITER.register_rewriter(
func_name='mmseg.models.decode_heads.ASPPHead.forward')
def aspp_head__forward(ctx, self, inputs):
"""Rewrite `forward` for default backend.
... | fengbingchun/PyTorch_Test | src/mmdeploy/mmdeploy/codebase/mmseg/models/decode_heads/aspp_head.py | aspp_head.py | py | 1,271 | python | en | code | 14 | github-code | 90 |
12078148164 | import argparse
import os
import yaml
parser = argparse.ArgumentParser()
parser.add_argument('--bayes_dip_folder', type=str, default='results_walnut_sample_based_density')
parser.add_argument('--baseline_mcdo_folder', type=str, default='results_baseline_walnut_mcdo_density')
parser.add_argument('--patch_sizes', type=i... | educating-dip/bayes_dip | evaluation/create_walnut_density_table.py | create_walnut_density_table.py | py | 1,719 | python | en | code | 2 | github-code | 90 |
70625873897 | import os, sys, re, datetime, random, gzip, json, copy
from tqdm import tqdm
import pandas as pd
import numpy as np
from time import time
from math import ceil
from pathlib import Path
import itertools
import argparse
import networkx as nx
from sklearn.model_selection import ParameterGrid
import torch
import torch.nn ... | hoangntc/DyHNet | DyHNet/run_ablation_study.py | run_ablation_study.py | py | 4,317 | python | en | code | 1 | github-code | 90 |
18298859329 | from itertools import groupby
def all_equal(iterable):
g = groupby(iterable)
return next(g, True) and not next(g, False)
N, A, B = map(int, input().split())
if all_equal(map(lambda x: x % 2, (A, B))):
print((B - A) // 2)
else:
print(min((A - 1, N - B)) + 1 + (B - A - 1) // 2)
| Aasthaengg/IBMdataset | Python_codes/p02823/s742038959.py | s742038959.py | py | 297 | python | en | code | 0 | github-code | 90 |
8350854658 | import glob
from sklearn.model_selection import train_test_split
import tensorflow as tf # add
import numpy as np
from tensorflow.keras.layers import GlobalAveragePooling1D
import numpy as np
from tensorflow.keras import Model
from nanoDoc2.network import cnnwavenet_decfilter
DATA_LENGTH_UNIT = 60
DATA_LENGTH = 102... | uedaLabR/nanoDoc2 | nanoDoc2_1/test/TestErrorAnalysis2.py | TestErrorAnalysis2.py | py | 12,974 | python | en | code | 0 | github-code | 90 |
1621978371 | from settings import settings
from entity import Poop, AidKit
import entity
import pygame
import asset
import init
from pygame.locals import *
def call():
# fps 설정
dt = init.clock.tick(settings["fps_set"].main)
# fps 구하기
fps = init.clock.get_fps()
fontfps = pygame.font.Font(asset.font["NeoDunggeun... | jhk1090/PyAvoid | area_manager.py | area_manager.py | py | 14,420 | python | en | code | 0 | github-code | 90 |
36910433865 | import unittest
from pychoco.model import Model
from pychoco.objects.automaton.cost_automaton import CostAutomaton, make_single_resource
from pychoco.objects.automaton.finite_automaton import FiniteAutomaton
class TestCostRegular(unittest.TestCase):
def testCostRegular1(self):
m = Model()
n = 10... | chocoteam/pychoco | tests/int_constraints/test_cost_regular.py | test_cost_regular.py | py | 3,563 | python | en | code | 9 | github-code | 90 |
73669075497 | from tkinter import *
expression = ""
def press(num):
global expression
expression = expression +str(num)
equation.set(expression)
def equalpress():
try:
global expression
total = str(eval(expression))
equation.set(total)
expression = ""
except:
... | NyanLinnZaw/nlz | calculator.py | calculator.py | py | 2,651 | python | en | code | 0 | github-code | 90 |
16436585620 | import bpy
class SFMEditorPanel(bpy.types.Panel):
bl_idname = "SFM_EDITOR_PANEL"
bl_label = "SFM Editor"
bl_space_type = 'VIEW_3D'
bl_region_type = 'UI'
bl_category = "Colmap"
@classmethod
def poll(cls, context):
return (context.object is not None)
def draw_header(self, contex... | NontawatWuttikam/blender-sfm-editor-plugin | main_panel.py | main_panel.py | py | 947 | python | en | code | 0 | github-code | 90 |
23153074468 | import asyncio, discord, validators, logging
from .gallery import GalleryDownloader
from .defaults import LOGGER_NAME
logger = logging.getLogger(LOGGER_NAME)
class DiscordClient(discord.Client):
def __init__(self, mappings):
self._loop = asyncio.get_event_loop()
super().__init__(loop=self._loop)... | browningluke/dgdl | discord-gallerydl/app/discordClient.py | discordClient.py | py | 3,762 | python | en | code | 1 | github-code | 90 |
6544301772 | #merge sort
#divide and conquer rule
def merge(a,b):
(c,m,n)=([],len(a),len(b))
(i,j)=(0,0)
while (i+j)<(m+n): #loop until we reach the length of lists
if i==m:#if a is empty
c.append(b[j])
j+=1
elif j==n:#if b is empty
c.append(a[i])
i+=1
... | Ankuraxz/Python_DSA | sorting_algo/merge_sort.py | merge_sort.py | py | 1,196 | python | en | code | 3 | github-code | 90 |
17941966269 | from collections import deque
s = deque(input())
ans = 0
while s:
L = s[0]
R = s[-1]
if L == R:
if 1 == len(s):
break
L = s.popleft()
R = s.pop()
continue
elif L == 'x' and R != 'x':
ans += 1
s.append('x')
elif L != 'x' and R == 'x':
... | Aasthaengg/IBMdataset | Python_codes/p03569/s619361681.py | s619361681.py | py | 431 | python | en | code | 0 | github-code | 90 |
17982020369 | import sys
sys.setrecursionlimit(10 ** 7)
f_inf = float('inf')
mod = 10 ** 9 + 7
def resolve():
x, a, b = map(int, input().split())
late = a - b
if late >= 0:
print("delicious")
else:
if x + late >= 0:
print("safe")
else:
print("dangerous")
if __name_... | Aasthaengg/IBMdataset | Python_codes/p03679/s291484444.py | s291484444.py | py | 351 | python | en | code | 0 | github-code | 90 |
24623078921 | import json
from typing import Dict, Any
import fastjsonschema
from dragonchain.lib import keys
from dragonchain.lib.dto import schema
from dragonchain.lib.dto import model
_validate_l5_block_at_rest = fastjsonschema.compile(schema.l5_block_at_rest_schema)
def new_from_at_rest(block: dict) -> "L5BlockModel":
"... | dragonchain/dragonchain | dragonchain/lib/dto/l5_block_model.py | l5_block_model.py | py | 4,571 | python | en | code | 701 | github-code | 90 |
35934284046 | # from pytesseract import image_to_string
# from PIL import Image
# im = Image.open(r'/Users/himankyadav/Desktop/hackillinois-fresheries/test1.jpg')
# print(im)
# with open("testOutput.txt", "w") as myfile:
# myfile.write(image_to_string(im))
import requests
import json
API_KEY = "50732aac0d96a678b460b22c6eb07225"
... | him229/hackIllinois-fresheries | py files/test.py | test.py | py | 2,978 | python | en | code | 8 | github-code | 90 |
7185390637 | import os
import sys
import time
import json
import numpy as np
from Reader import Config
from PyQt5.QtWidgets import QApplication
from PyQt5.QtWidgets import QWidget
from PyQt5.QtWidgets import QTableWidget
from PyQt5.QtWidgets import QTableWidgetItem
from PyQt5.QtWidgets import QAbstractItemView
from PyQt5... | whyeemcc/X | X/SDM.py | SDM.py | py | 5,580 | python | en | code | 0 | github-code | 90 |
18367360179 | import sys
input = lambda: sys.stdin.readline().rstrip()
def solve():
N, D = map(int, input().split())
if N < (D * 2 + 1):
ans = 1
else:
q, r = divmod(N, D * 2 + 1)
ans = q + 1 if r > 0 else q
print(ans)
if __name__ == '__main__':
solve()
| Aasthaengg/IBMdataset | Python_codes/p02970/s616675230.py | s616675230.py | py | 288 | python | en | code | 0 | github-code | 90 |
18042106899 | #!python3
LI = lambda: list(map(int, input().split()))
# input
N, x = LI()
A = LI()
def main():
ans = 0
for i in range(1, N):
s = A[i - 1] + A[i]
d = max(0, s - x)
ans += d
A[i] -= min(d, A[i])
print(ans)
if __name__ == "__main__":
main()
| Aasthaengg/IBMdataset | Python_codes/p03862/s701944630.py | s701944630.py | py | 293 | python | en | code | 0 | github-code | 90 |
21352840381 | from __future__ import print_function
from Board import *
from copy import deepcopy
from Search import *
#load a board from disk
def loadBoard(filename):
#fname = raw_input('Please provide a file and absolute path.. and then hit RETURN / ENTER \n')
fname = filename
with open(fname) as f:
content = ... | rossms/ai_sbp | main.py | main.py | py | 2,847 | python | en | code | 0 | github-code | 90 |
72743891177 | """
replace common typos of names to unify them in the database
"""
typos = {
"Matt": {"Mat", "Mattt", "\"Matt", "Matr", "Mtt"},
"Sam": {"San", "Nott", "Sma", "Sasm", "Sm", "Ssam"},
"Travis": {"Tarvis", "Travs", "Travia", "Traivs", "Tavis", "Trvis"},
"Taliesin": {"Taiesin", "Talisin", "Talisen", "Talei... | Findus23/cr-search | typo.py | typo.py | py | 1,824 | python | en | code | 0 | github-code | 90 |
4650544378 | from __future__ import print_function
import numpy as np
from scipy import optimize
from scipy.optimize import minimize
import matplotlib.pyplot as plt
import pylab as pl
#from sklearn.datasets import load_digits
import math
import csv
import time
#import matplotlib
from matplotlib import cm
import random
... | rpcoelho17/Simulated-Annealing | NeuralNetwMNSTV2_2.py | NeuralNetwMNSTV2_2.py | py | 31,723 | python | en | code | 2 | github-code | 90 |
44355928916 | import matplotlib.pyplot as plt
x_values = range(1,1001)
y_values = [x**2 for x in x_values]
fig, ax = plt.subplots()
ax.scatter(x_values,y_values,c=x_values,cmap=plt.cm.Blues,s=10)
plt.savefig('square_plot.png')
plt.show() | PythonProfessional83/Matplotlib_Plotly | 1000_points_colormap.py | 1000_points_colormap.py | py | 226 | python | en | code | 0 | github-code | 90 |
22350903085 | import brewer2mpl
from discrete_cmap import discrete_cmap
from colormaps import viridis
def default_pcolor_args(data, anom=False):
"""Returns a dict with default pcolor params as key:value pairs
Parameters
----------
data : numpy array
anom : boolean
True if positive/negative display is... | fallisd/validate3 | pcolor.py | pcolor.py | py | 1,514 | python | en | code | 0 | github-code | 90 |
21716700542 | """ Unit tests for matIO.py module """
import pytest
import os
import numpy as np
import pandas as pd
import tempfile
from spynal.tests.data_fixtures import MISSING_ARG_ERRS
from spynal.matIO import loadmat, load, whomat, who, savemat, save
# =========================================================================... | sbrincat/spynal | spynal/tests/test_matIO.py | test_matIO.py | py | 9,383 | python | en | code | 8 | github-code | 90 |
24982123823 | import torch
import torch.nn as nn
n_channel = 1
data = torch.randn(10, n_channel, 56, 56, 28)
channel_list = [8, 16]
n_conv_out_dim = 1000
encoder_layers = [
nn.Conv3d(n_channel, 8, (3, 3, 2), padding=1, stride=(2, 2, 1)),
nn.Conv3d(8, 16, (3, 3, 3), padding=1, stride=(2, 2, 2)),
nn.Conv3d(16, 32, (3,... | HiroIshida/snippets | python/ext_examples/pytorch_example/convnet/conv3d.py | conv3d.py | py | 952 | python | en | code | 6 | github-code | 90 |
28124372000 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from utils import clones
from model.sublayer import SublayerConnection, LayerNorm
"""
Created on Wed Feb 12 22:36:18 2020
@author: lizhenping
decoder的整个代码框架同encoder基本相同，区别在于多传入一个memory，是encoder传入的状态向量。
decoder也有两层结构，在第一层同encoder相同
在第二层中传入encoder的状态向量... | zhenpingli/transformer-with-annotation | model/decoder.py | decoder.py | py | 1,445 | python | en | code | 5 | github-code | 90 |
18293707979 | import sys
input = sys.stdin.readline
def gcd(a, b):
while b:
a, b = b, a%b
return a
def lcm(a, b):
return a//gcd(a, b)*b
N, M = map(int, input().split())
a = list(map(int, input().split()))
b = [ai//2 for ai in a]
cnt = [0]*N
for i in range(N):
t = b[i]
while t%2==0:
cnt[i]... | Aasthaengg/IBMdataset | Python_codes/p02814/s371810033.py | s371810033.py | py | 484 | python | en | code | 0 | github-code | 90 |
41709794826 | class team:
def __init__(team, name, points, wins, draws, losses, skill, goaldiff, championships):
team.name = name
team.points = points
team.wins = wins
team.draws = draws
team.losses = losses
team.skill = skill
team.goaldiff = goaldiff
tea... | varmagokul6/Champions-League-Simulation | Teams.py | Teams.py | py | 508 | python | en | code | 1 | github-code | 90 |
34875169180 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 27 13:28:39 2018
@author: tb267
"""
from . import streams
import numpy as np
import pyqtgraph as pg
import matplotlib.pyplot as plt
import seaborn as sns
# try:
# import pyaudio
# except ImportError:
# pyaudio = None
# except NotImplementedError:
# pyaudio... | torebutlin/pydvma | pydvma/options.py | options.py | py | 7,882 | python | en | code | 2 | github-code | 90 |
37755723475 | """
Original training enviornment for meta-rl agent for the GSP task distribution used in Kumar et al. 2022. We used their enviornment (but turned of training on the control distribution).
"""
import gym
from gym.utils import seeding
from PIL import Image as PILImage
from gym.spaces import Box
from gym.spaces import... | sreejank/language_and_programs | small_env_4x4.py | small_env_4x4.py | py | 10,111 | python | en | code | 4 | github-code | 90 |
15910698771 | from math import sqrt
import random
from pytest import approx
from gym_d2d.position import Position, get_random_position, get_random_position_nearby
NUM_TEST_REPEATS = 10
class TestPosition:
def test_distance(self):
for _ in range(NUM_TEST_REPEATS):
a_x, a_y = random.uniform(0, 500), rando... | davidcotton/gym-d2d | test/gym_d2d/test_position.py | test_position.py | py | 1,485 | python | en | code | 19 | github-code | 90 |
7235155554 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import boto3
import botocore
import time
import pytest
import ddbsimple
@pytest.fixture
def test_basic_one():
assert 10 == 11
def test_basic_two():
assert 12 == 12
def testBasicThree():
assert 13 == 13
def createTestTable(client, tableName, checkExists=F... | bdastur/notes | aws/ddb/tests/test_basic.py | test_basic.py | py | 7,667 | python | en | code | 4 | github-code | 90 |
18317051799 | N = int(input())
A = [int(i) for i in input().split()]
l = sum(A)
ans = float("inf")
t = 0
for i in range(N-1):
t += A[i]
ans = min(ans,abs(l-2*t))
#print("t,ans",t,ans)
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p02854/s289996455.py | s289996455.py | py | 189 | python | en | code | 0 | github-code | 90 |
70252829098 | from PyQt4.QtCore import *
from PyQt4.QtGui import *
from qgis.core import *
from qgis.utils import *
##STS=group
##fichier_nodes=vector point
##stop_id=field fichier_nodes
##fichier_arcs=vector line
##arc_id=field fichier_arcs
##rayon=number 50
arcs=processing.getObject(fichier_arcs)
nodes=processing.getObject(fichi... | crocovert/scripts_qgis | accidents_arcs.py | accidents_arcs.py | py | 1,071 | python | en | code | 2 | github-code | 90 |
32420635567 | # Create a Resource Group and Storage Account in Microsoft Azure
# Resource Groups are used to store and organize resources in Azure.
# Storage Accounts are used to store & share your data & files in different formats.
# Run this code from a python session on the Azure Cloud Shell.
# After the resource group and st... | satyaibm/python_tutorial | Website.py | Website.py | py | 5,141 | python | en | code | 0 | github-code | 90 |
18333016949 | S = input()
K = int(input())
if S.count(S[0]) == len(S):
print(len(S)*K//2)
exit()
count = 0
i = 1
flg = [False] * len(S)
while i < len(S):
if S[i] == S[i-1]:
count += 1
flg[i] = True
i += 2
else:
i += 1
count *= K
if (not flg[len(S)-1]) and S[0] == S[-1]:
a = 1
... | Aasthaengg/IBMdataset | Python_codes/p02891/s069808944.py | s069808944.py | py | 479 | python | en | code | 0 | github-code | 90 |
18566508949 | def read():
H, W = map(int, input().split(' '))
Ss = []
for _ in range(H):
Ss.append(input())
return H, W, Ss
DIRS = [(-1, 0), (1, 0), (0, -1), (0, 1)]
def add(p1, p2):
return (p1[0] + p2[0], p1[1] + p2[1])
def ans(H, W, Ss):
if Ss[0][0] == '#':
print('0,0 #')
retur... | Aasthaengg/IBMdataset | Python_codes/p03436/s439298843.py | s439298843.py | py | 1,144 | python | en | code | 0 | github-code | 90 |
27129922045 | import FeatureEngineering as fe
from HomeDepotCSVReader import HomeDepotReader
import pandas as pd
import numpy as np
# Color list adapted from
# https://kaggle2.blob.core.windows.net/forum-message-attachments/108037/3713/most_common_colors.txt
COLOR_LIST = (
"concrete",
"white",
"black",
"brown",
"gray",
"chrome",
"s... | jax79sg/IRDM2017 | python/Feature_ColorMaterial.py | Feature_ColorMaterial.py | py | 5,007 | python | en | code | 2 | github-code | 90 |
30937993801 | import sys
import os
import magic
def is_int(s):
try:
int(s)
return True
except ValueError:
return False
def is_float(s):
try:
float(s)
return True
except ValueError:
return False
def check(file_lines):
if len(file_lines[0].split()) != 2:
... | jordiae/EmbeddingsUnitTesting | main.py | main.py | py | 3,248 | python | en | code | 0 | github-code | 90 |
20264332041 | # 2545-sort-the-students-by-their-kth-score
# leetcode/medium/2545. Sort the Students by Their Kth Score
# URL: https://leetcode.com/problems/sort-the-students-by-their-kth-score/description/
#
# NOTE: Description
# NOTE: Constraints
# NOTE: Explanation
# NOTE: Reference
from typing import List
class Solution:
de... | polyglotm/coding-dojo | coding-challange/leetcode/medium/2545-sort-the-students-by-their-kth-score/2545-sort-the-students-by-their-kth-score.py | 2545-sort-the-students-by-their-kth-score.py | py | 722 | python | en | code | 2 | github-code | 90 |
20367966821 | class Solution:
def longestConsecutive(self, nums: List[int]) -> int:
nums = set(nums)
data = collections.Counter(nums)
longest = 0
for i in nums:
if i-1 not in nums:
start = i-1
temp = 0
while data[start+1]>0:
... | RishabhSinha07/Competitive_Problems_Daily | 128-longest-consecutive-sequence/128-longest-consecutive-sequence.py | 128-longest-consecutive-sequence.py | py | 449 | python | en | code | 1 | github-code | 90 |
39897528294 | from pillow import *
from tkinter import *
root=Tk()
root.title("Dictionary")
root.geometry("600x400")
background_image=tk.PhotoImage(bg.png)
background_label = tk.Label(parent, image=background_image)
background_label.place(x=0, y=0, relwidth=1, relheight=1)
label_of_mutable = Label(root)
label_of_imuta... | vrushubhosale/PROJECT-155 | predefined_code.py | predefined_code.py | py | 1,299 | python | en | code | 0 | github-code | 90 |
38039916439 | class student:
bebrilliant=5000
def __init__(self,name,rollno):
self.name=name
self.rollno=rollno
self.lap=self.laptop
def show(self):
print(self.name,self.rollno)
class laptop:
def __init__(self,brand,ram,cpu):
self.brand=brand
se... | hemapython/2ndnewlife | claseinside.py | claseinside.py | py | 766 | python | en | code | 0 | github-code | 90 |
33380919989 | """This module provides raster related classes based on torchgeo.
Author: Theo Larcher <theo.larcher@inria.fr>
"""
from __future__ import annotations
from pathlib import Path
from typing import (TYPE_CHECKING, Any, Callable, Dict, Iterator, Optional,
Sequence, Tuple, Union)
import numpy as np
im... | plantnet/malpolon | malpolon/data/datasets/torchgeo_datasets.py | torchgeo_datasets.py | py | 22,589 | python | en | code | 3 | github-code | 90 |
18568152539 | import sys
sys.setrecursionlimit(10 ** 9 + 10)
def input(): return sys.stdin.readline().strip()
def resolve():
N = int(input())
A = list(map(int, input().split()))
B = list(map(int, input().split()))
biggerA = 0
biggerB = 0
task = 0
for i in range(N):
# A[i]>B[i]なる全てのB[i]を埋めてA[i]<... | Aasthaengg/IBMdataset | Python_codes/p03438/s455368769.py | s455368769.py | py | 687 | python | en | code | 0 | github-code | 90 |
18305775319 | N = int(input())
xyss = [[] for _ in range(N)]
for i in range(N):
A = int(input())
for _ in range(A):
x, y = map(int, input().split())
xyss[i].append((x-1, y))
ans = 0
for ptn in range(1<<N):
conflict = False
for i in range(N):
if (ptn>>i) & 1:
for x, y in xyss[i]:
... | Aasthaengg/IBMdataset | Python_codes/p02837/s277761364.py | s277761364.py | py | 561 | python | en | code | 0 | github-code | 90 |
37238484744 | import csv
data = [
["이름", "반", "번호"],
["한세진", 1, 20],
["권보미", 2, 40],
["한재인", 3, 10]
]
file = open("student.csv", "w", encoding="utf-8-sig")
writer = csv.writer(file)
for d in data:
writer.writerow(d)
file.close()
| billy0529/python | python basic/chapter10/03.csv.py | 03.csv.py | py | 267 | python | en | code | 0 | github-code | 90 |
27526126840 | # -*- coding: utf-8 -*-
import oss2
import configparser
cp = configparser.ConfigParser()
cp.read('myconfig.conf')
accessKeySecret = cp.get('oss', 'accessKeySecret')
accessKeyId = cp.get('oss', 'accessKeyId')
endpoint = cp.get('oss', 'oss_endpoint')
bucketname = cp.get('oss', 'bucketname')
auth = oss2.Auth(accessKeyI... | ASTARCHEN/astardownload | astardownload/util/ossClientHelper.py | ossClientHelper.py | py | 711 | python | en | code | 1 | github-code | 90 |
957620844 | from aiogram.types import ReplyKeyboardMarkup, KeyboardButton, ReplyKeyboardRemove
b1 = KeyboardButton('/Режим_работы_заведения')
b2 = KeyboardButton('/Адрес и телефон')
b3 = KeyboardButton('/Меню')
b4 = KeyboardButton('Поделиться номером', request_contact=True)
b5 = KeyboardButton('Отправить местоположение', request_... | SeregaFS/telegbot | keyboards/client_kb.py | client_kb.py | py | 544 | python | ru | code | 0 | github-code | 90 |
70040727338 | from flask import request
from flask_restplus import Resource
from app.main.util.decorator import admin_token_required, token_required
from ...util.dto import *
from ...service.intranet.zone_service import *
api = ZoneDto.api
_zone = ZoneDto.zone
@api.route('/all')
class ZoneList(Resource):
@api.doc('list_of_zon... | bmaritim/float-transfer-python | app/main/controller/intranet/zone_controller.py | zone_controller.py | py | 1,386 | python | en | code | 0 | github-code | 90 |
18154850179 | #!/usr/bin/env python3
import sys
import collections as cl
def II(): return int(sys.stdin.readline())
def MI(): return map(int, sys.stdin.readline().split())
def LI(): return list(map(int, sys.stdin.readline().split()))
def main():
N, X, M = MI()
rep = []
rep_set = set([])
i = 1
rep.append(... | Aasthaengg/IBMdataset | Python_codes/p02550/s305359141.py | s305359141.py | py | 906 | python | en | code | 0 | github-code | 90 |
7866073536 | # https://school.programmers.co.kr/learn/courses/30/lessons/72412
from itertools import combinations
from collections import defaultdict
from bisect import bisect_left
def solution(info, query):
answer = []
csv = defaultdict(list)
for i in info:
condition = i.split()[:-1]
score = int(i.spli... | GitofHJH/Programmers-with-Python | Level_2/230425 순위 검색 5252.py | 230425 순위 검색 5252.py | py | 1,376 | python | en | code | 0 | github-code | 90 |
2605294260 | from datetime import datetime
import pandas as pd
import aiohttp
import asyncio
from time import sleep
from dto import PRICE_DATA_DTO
MARKET = 'ETHUSDT'
MARKET_ALT = 'ETH-USD'
MARKET_ALT_2 = 'ETH-USDT'
class Parser:
def __init__(self):
self.urls = [
f'https://api.binance.com/api/v3/ticker/boo... | ReservExE/arbitrage_mipt | parse_data_class.py | parse_data_class.py | py | 2,680 | python | en | code | 0 | github-code | 90 |
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