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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
44902733283 | # -*- coding: utf-8 -*-
import os
import unittest
from typing import List, Dict
from camelback.case_converter import CaseStyleEnum, case_convert_to_style, case_convert_stream, case_convert, get_casing_style
class TestCaseConversion(unittest.TestCase):
SNAKE_CASE_FILE = os.path.join(os.path.dirname(__file__), 'b... | codyd51/camelback | tests/test_case_conversion.py | test_case_conversion.py | py | 3,428 | python | en | code | 2 | github-code | 90 |
7671164285 | """
git_remote_hg.test: testcases for git_remote_hg
================================================
Actually there are no "tests" as such just yet. This is simply here out of
habit, since I use it to sync the main docstring with README.rst.
"""
import os
import unittest
import git_remote_hg
class TestDocstrin... | rfk/git-remote-hg | git_remote_hg/test.py | test.py | py | 1,101 | python | en | code | 41 | github-code | 90 |
18274089809 | n,k=map(int,input().split())
l=list(map(int,input().split()))
maxi=0
suml=sum(l[:k])
maxl=sum(l[:k])
for i in range(n-k):
if suml-l[i]+l[k+i]>maxl:
maxl=suml-l[i]+l[k+i]
maxi=i+1
suml=suml-l[i]+l[k+i]
sumsum=0
for j in range(maxi,maxi+k):
sumsum+=(l[j]+1)/2
print(sumsum) | Aasthaengg/IBMdataset | Python_codes/p02780/s054269747.py | s054269747.py | py | 299 | python | en | code | 0 | github-code | 90 |
30836026654 |
def execute_scripts_from_file(cursor, filepath: str):
"""Opens an SQL script an runs every query in it. In case of an error, the function will print the error message to the terminal.
Parameters
----------
filepass: str
The full path to the sql query.
"""
fd = open(filepath, 'r')
... | LolipopnJoker/Inventory_Project | Python/python_function_reading_sql.py | python_function_reading_sql.py | py | 594 | python | en | code | 2 | github-code | 90 |
1220452671 | # Importando a Biblioteca do Python
import pandas as pd
def Leitura_Tratamento_Dados_Arduino():
# Nome do arquivo csv com os dados do arduino
arquivo = 'dados_do_arduino.csv'
# DataFrame Pandas com os dados do arduino
data = pd.read_csv(arquivo)
# Transformando as leituras em inteiros (int)
data = data['Senso... | Persapius/PID-soil-moisture | PlotGrafico.py | PlotGrafico.py | py | 1,507 | python | pt | code | 0 | github-code | 90 |
18455121429 | n=int(input())
h=list(map(int,input().split()))
ans=0
temp=[0]*n
while True:
a=0
b=1
cnt=1
for i in range(n):
if h[i]!=temp[i]:
temp[i]=temp[i]+1
a=1
b=0
elif a==1:
cnt=cnt+1
a=0
b=1
if b==1:
cnt=cnt-1
ans=ans+cnt
if sum(temp)==sum(h):
break
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03147/s363610214.py | s363610214.py | py | 318 | python | en | code | 0 | github-code | 90 |
19361667414 | #!/usr/bin/env python
#
# This script is needed to patch heaplog from the device: it converts all FW
# addresses there into corresponding symbolic names.
#
# Invoke with `--help` option to get list of options with description.
#
# See the file ./README.md for usage example.
#
import subprocess
import argparse
import ... | cesanta/mongoose-os | tools/heaplog_viewer/heaplog_symbolize.py | heaplog_symbolize.py | py | 3,179 | python | en | code | 2,425 | github-code | 90 |
18060105689 | from itertools import product
s = str(input())
a = list(product(['+', ''], repeat=len(s)-1))
ans = 0
tmp = ""
for i in a:
tmp = ""
for j in range(len(s)-1):
tmp += (s[j]+i[j])
tmp += s[len(s)-1]
ans += eval(tmp)
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p04001/s027958018.py | s027958018.py | py | 250 | python | en | code | 0 | github-code | 90 |
24472282898 | N = int(input())
for _ in range(N):
pages, location = list(map(int, input().split()))
new_location = location
queue = list(map(int, input().split()))
queue = [(i, idx) for idx, i in enumerate(queue)]
count = 0
while True:
if queue[0][0] == max(queue, key=lambda x: x[0])[0]:
... | LazyMG/coding-test | fastcampus/backjoon/ch1/1966.py | 1966.py | py | 522 | python | en | code | 0 | github-code | 90 |
18205177389 |
n=int(input())
a=[]
b=[]
for i in range(n):
tmpa,tmpb = map(int,input().split())
a.append(tmpa)
b.append(tmpb)
a.sort()
b.sort()
if n%2==1:
print(b[n//2] - a[n//2] +1)
else:
print((b[n//2]+b[n//2-1]) - (a[n//2]+a[n//2-1]) +1)
| Aasthaengg/IBMdataset | Python_codes/p02661/s627098023.py | s627098023.py | py | 249 | python | en | code | 0 | github-code | 90 |
18058289939 | import sys
sys.setrecursionlimit(10 ** 7)
f_inf = float('inf')
mod = 10 ** 9 + 7
def resolve():
a = int(input())
b = int(input())
h = int(input())
res = ((a + b) * h) // 2
print(res)
if __name__ == '__main__':
resolve()
| Aasthaengg/IBMdataset | Python_codes/p03997/s770873677.py | s770873677.py | py | 250 | python | en | code | 0 | github-code | 90 |
4174341832 | from unittest import TestCase
from unittest.mock import Mock, patch, sentinel, call
from gnucashcategorizer.suggester import Suggester, Suggestion, NoSuggestion
class TestSuggester(TestCase):
def test_get_suggestions(self):
splits = [
sentinel.split_1, sentinel.split_2, sentinel.split_3, senti... | seddonym/gnucash-categorizer | tests/test_suggester.py | test_suggester.py | py | 6,165 | python | en | code | 0 | github-code | 90 |
22830634994 | import logging
import threading
import OPi.GPIO as GPIO
import opz_ha.defaults as defaults
from opz_ha.devices import ReedSwitch
from opz_ha.utils import check_config, get_mode
logger = logging.getLogger(__name__)
def constructor(*a, **k):
_ = ReedSwitch(*a, **k)
def launcher(mqttc, modestring, config):
... | untergeek/opz_ha | opz_ha/launcher/reedswitch.py | reedswitch.py | py | 2,107 | python | en | code | 0 | github-code | 90 |
39634292969 | from statistics import mean
GRADES = [
(28, 30, 5),
(24, 27, 4),
(21, 23, 3),
(18, 20, 2),
(15, 17, 1),
(0, 14, 0)
]
def get_grade(summed):
for low, high, grade in GRADES:
if low <= summed <= high:
return grade
def parse_points(points):
grades = []
for test... | SamimiesGames/itslearning | osa-4/6/arvosanatilasto.py | arvosanatilasto.py | py | 1,483 | python | en | code | 3 | github-code | 90 |
18336374069 | a, b = map(int, input().split())
roota = int(a ** 0.5)
def pcheck(n):
rootn = int(n ** 0.5)
for i in range(2, rootn + 2):
if n % i == 0:
return False
return True
pa = []
for i in range(2, roota + 2):
if a % i == 0:
pa.append(i)
while a % i == 0:
a //= i
... | Aasthaengg/IBMdataset | Python_codes/p02900/s198830347.py | s198830347.py | py | 471 | python | en | code | 0 | github-code | 90 |
18217451859 | import sys
n = int(input())
si = []
for _ in range(n):
s = input()
l = 0
r = 0
count = 0
for i in range(len(s)):
if s[i] == "(":
count += 1
else:
count = max(0, count-1)
l = count
count = 0
for i in range(len(s)-1, -1, -1):
if s[i] == ")":
... | Aasthaengg/IBMdataset | Python_codes/p02686/s871733119.py | s871733119.py | py | 893 | python | en | code | 0 | github-code | 90 |
22708471338 | # -*-codeing=utf-8-*-
# @Time:2022/5/1510:50
# @Author:xyp
# @File:CIE.py
# @Software:PyCharm
import tool
get_message=[]
hide_pic_pix=[]
codebook={0:[0,0],1:[1,0],2:[2,0],3:[3,0],4:[-2,1],5:[-1,1],6:[0,1],7:[1,1],8:[2,1],9:[3,1],10:[-2,2],11:[-1,2],12:[0,2],13:[1,2],
14:[2,2],15:[3,2],16:[-3,-2],17:[... | 18281765528/picture_handle | CIE.py | CIE.py | py | 1,933 | python | en | code | 0 | github-code | 90 |
5155279841 | matrizEntradas = [[1,-1, 1,-1],
[1, 1, 1, 1]]
pesos = [-1,-1,0,0]
target = [1, 1]
aprendizado = 0.25
def calculaNet(entradas, pesos):
if len(entradas) != len(pesos):
print("tamanho entradas diferente de pesos")
exit()
net = 0
i=0
for a in entradas:
net =... | vlucasx/PGC | aprendizado.py | aprendizado.py | py | 1,757 | python | pt | code | 0 | github-code | 90 |
75072836775 | from __future__ import annotations
from . import util
from collections import namedtuple
from typing import TYPE_CHECKING, Match, Any
import re
import xml.etree.ElementTree as etree
try: # pragma: no cover
from html import entities
except ImportError: # pragma: no cover
import htmlentitydefs as entities
if ... | Python-Markdown/markdown | markdown/inlinepatterns.py | inlinepatterns.py | py | 35,530 | python | en | code | 3,429 | github-code | 90 |
20815448401 | import os, sys, glob
import cv2
import numpy as np
import matplotlib.pyplot as plt
from pdf2image import convert_from_path
from image_processing_tools import *
img_directory = "../../Soma_Draw/img_save/data/" ## override directory path
excluded = [".ipynb_checkpoints", "unprocessed", "cyan", "red", "scaled"]
names = [... | hci-dance-visuals/sensor-drawings | latent_steps_visualizer/sketch_feature_extractor/webdraw_feature_extractor.py | webdraw_feature_extractor.py | py | 2,148 | python | en | code | 1 | github-code | 90 |
43188205225 | import ipywidgets as ipw
import traitlets
from aiida.orm import StructureData, Float, Str, BandsData
from aiida.plugins import WorkflowFactory
from aiida.engine import submit
from wizard import WizardApp
from codes import CodeSubmitWidget
from util import load_default_parameters
class ComputeBandsSubmitWidget(CodeS... | mbercx/aiidalab-qe | bands.py | bands.py | py | 4,900 | python | en | code | null | github-code | 90 |
37833085185 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 4 12:53:00 2018
@author: 李立宗 lilizong@gmail.com
《opencv图穷匕见-python实现》 电子工业出版社
"""
from matplotlib import pyplot as plt
#随机生成两组数组
#生成60粒直径大小在[0,50]之间的xiaoMI
xiaoMI = np.random.randint(0,50,60)
#生成60粒直径大小在[200,250]之间的daMI
daMI = np.random.randint(200,250,60)
#将xiaoMI和d... | taochangwan/learnOpencv | 源代码及图像/chapter22/例22.1.py | 例22.1.py | py | 1,152 | python | zh | code | 1 | github-code | 90 |
2348420784 | import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
class ReadStandardTimeFill:
def __init__(self,Path):
self.Master = pd.read_csv(Path,delimiter = ',',header = 0,na_values = -9999)
self.Master = self.Master.set_index(pd.DatetimeIndex(pd.to_datetime(self.Maste... | June-Skeeter/Illisarvik_Processing | ReadStandardTimeFill.py | ReadStandardTimeFill.py | py | 2,757 | python | en | code | 0 | github-code | 90 |
40592530151 | # *args
def sum_all(num1, num2, num3):
return num1 + num2 + num3
print(sum_all(2, 3, 4))
# !To add any number of dynamic arguments
def sum_all2(*nums):
print(nums) # printing like a tuple -> (2, 3, 4)
total = 0
for num in nums:
total += num
return total
print(sum_all2(2, 3, 4))
prin... | tsabunkar/python_basic | functions/more.py | more.py | py | 1,998 | python | en | code | 0 | github-code | 90 |
40820919144 | import matplotlib.pyplot as plt # lib for graphs
import random
import numpy as np
import math
n = 10
N = 256
W0 = 150
Wmax = 1500
signals = np.zeros(N)
W = np.arange(W0, Wmax + W0, W0)
for w in W :
A = random.random()
phi = random.random()
for t in range(N):
signals[t] += A * math.sin(w * t + phi)
... | burbokop/rts | lab_1.1/lab_1.1.py | lab_1.1.py | py | 497 | python | en | code | 0 | github-code | 90 |
17251475548 | import re
import socket
import shutil
import subprocess
from datetime import datetime
from typing import Optional, Sequence, Tuple, Dict, List, Any
from netmonitor.monitors.monitor import Monitor
class PingMonitor(Monitor):
def __init__(self, *args: Any, **kwargs: Any) -> None:
super().__init__(*args, ... | pseudorandomuser/netmonitor | netmonitor/monitors/pingmonitor.py | pingmonitor.py | py | 2,170 | python | en | code | 0 | github-code | 90 |
23408118748 | # -*- coding: utf-8 -*-
import json
import time
import threading
import os.path
from utils import Console
SHL = Console("EmotesHandler")
filename = os.path.join("app", "emotes", "emotes.json")
class Emotes:
def __init__(self, start):
self.emotes = {}
self.runCheck = start
self.emit_sta... | FI18-Trainees/FISocketChat | src/app/emotes/emote_handling.py | emote_handling.py | py | 1,354 | python | en | code | 4 | github-code | 90 |
13794034687 | from __future__ import unicode_literals
from django.db import models
from NAPS.settings import MEDIA_ROOT
import re
import datetime
import random
#import the Classifier class from /classify/classify.py
from classification import classification
#import the Extractor class from /extractor/extract.py
from Text_extractor ... | sean-tu/NAPS | articles/models.py | models.py | py | 4,685 | python | en | code | 0 | github-code | 90 |
72052677736 | # house.py 01/12/2014 D.J.Whale
#
# The house follows the garden outside_temp to monitor it.
# It also has a catflap that can be remotely controlled.
# Written using the (simpler) IOT wrapper
# You can only have one owner and one node per script using the IOT wrapper.
import IoticLabs.IOT as IOT
# CONFIGURATION -... | ForToffee/demo | house.py | house.py | py | 1,811 | python | en | code | 0 | github-code | 90 |
4423416915 | def repeatedString(s,n):
'''
A function that takes a string s and an integer n as inputs. Consider the first
n elements of the infinite string s+s+s+..., and identify the number of times
the letter 'a' occurs in this section of the inifinite string. An iterative
process is not desirable for n>10^6.
Time ... | jd1618/Python-Codes | Hackerrank/Problem_Solving_Easy/Repeated_string.py | Repeated_string.py | py | 683 | python | en | code | 1 | github-code | 90 |
33066445535 | '''
migration_72.py
A module that adds a new field to the Tags table
'''
from os.path import dirname, join
import arcpy
import domains
arcpy.env.workspace = sde = join(dirname(__file__), 'local@electrofishing.sde')
table_name = 'Tags'
fldFREQUENCY = 'FREQUENCY'
fldTRANSPONDER_FREQ = 'TRANSPONDER_FREQ'
fldTRANSMITT... | agrc/electrofishing | scripts/migrations/migration_72.py | migration_72.py | py | 2,690 | python | en | code | 0 | github-code | 90 |
24248617468 | import math
import time
i = 1
v = []
factors = []
v.append(0)
factors.append(1)
qtd = 0
Q = 4
while(1):
j = 1
div = 0
end = 0
if(i % 10000 == 0):
print("i ", i)
while j <= math.sqrt(i):
if(i % j == 0 and j != 1):
div = 1
v.append(j)
tmp = i
s = set([])
while tmp != 1:
s.add(v[int(... | EnzoHideki/algo | sites/projecteuler/47.py | 47.py | py | 594 | python | en | code | 0 | github-code | 90 |
42261710047 | """
Test for autocomplete command
"""
from core.base_test.tns_test import TnsTest
from products.nativescript.tns import Tns
# noinspection PyMethodMayBeStatic
class AutocompleteTests(TnsTest):
changed_to_enable = 'Restart your shell to enable command auto-completion.'
changed_to_disable = 'Restart your shell ... | NativeScript/nativescript-tooling-qa | tests/cli/misc/autocomplete_tests.py | autocomplete_tests.py | py | 1,650 | python | en | code | 4 | github-code | 90 |
25410597859 | import pygame
import time
import random
pygame.init()
white=(255,255,255)
red=(255,0,0)
black=(0,0,0)
green=(0,155,0)
display_width=800
display_hieght=600
block_size=20
fps=20
AppleThickness=30
direction="right"
img=pygame.image.load('Untitled.png')
appleimg=pygame.image.load('apple.png')
smallFont=pygame.font.SysFont... | vasujain00/slither- | 23.py | 23.py | py | 7,745 | python | en | code | 0 | github-code | 90 |
7866070846 | # https://school.programmers.co.kr/learn/courses/30/lessons/169199
from collections import deque
def solution(board):
n = len(board)
m = len(board[0])
for i in range(n):
for j in range(m):
if board[i][j] == "R":
x_s, y_s = i, j
if board[i][j] == "G":
... | GitofHJH/Programmers-with-Python | Level_2/230425 리코쳇 로봇.py | 230425 리코쳇 로봇.py | py | 1,248 | python | en | code | 0 | github-code | 90 |
34627293830 | import requests
import mysql.connector
from datetime import datetime
import schedule
import time
API_KEY = "912c622485ebcccfe6e75ebb3dc2de10"
API_CITY = "Kraków"
API_ENDPOINT = f"https://api.openweathermap.org/data/2.5/weather?q={API_CITY}&appid={API_KEY}&appid={API_KEY}&units=metric&lang=pl"
def fetch_weather():
... | dominika-kotecka/weather.app | main.py | main.py | py | 1,417 | python | en | code | 0 | github-code | 90 |
35168828406 | #!/usr/bin/python3
"""
"Echo" pattern for G810 keyboard
requires keyboard module, which needs root access to hook into the keyboard
"""
import keyboard
from time import sleep
from color_codes import colors, RGB
import subprocess
from sys import stderr
import threading
from keys import *
color1 = colors['blueviolet']
... | colefuerth/g810-led-patterns | echo.py | echo.py | py | 2,213 | python | en | code | 0 | github-code | 90 |
25585420961 | from typing import List
import lightgbm as lgb
import numpy as np
import pandas as pd
import xgboost as xgb
from sklearn import linear_model
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.model_selection import GridSearchCV
def res_statistic(data):
print('_min', np.min(data))
print('_max... | chivalryq/rrcSpider | model/model.py | model.py | py | 4,049 | python | en | code | 0 | github-code | 90 |
22181486814 | # -*- coding: utf-8 -*-
# Imports
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.decomposition import PCA
from ... | thadley13/Youtube-Comments | initial_eda.py | initial_eda.py | py | 5,935 | python | en | code | 0 | github-code | 90 |
9695278997 | #!/usr/bin/python3
strip_comments_and_strings = True
def evaluate_matches(lines, fn):
errors = []
for lineno, line in enumerate(lines):
if line.count('typedef'):
errors.append(
(fn, lineno+1, "Do not use \"typedef\". Use \"using\" instead."))
return errors
# /end eva... | widelands/widelands | cmake/codecheck/rules/do_not_use_typedef.py | do_not_use_typedef.py | py | 425 | python | en | code | 1,844 | github-code | 90 |
17981350559 | n = int(input())
a = list(map(int, input().split()))
a1, a2 = [],[]
for index, i in enumerate(a, start=1):
if index % 2 == 0:
a2.append(i)
else:
a1.append(i)
ans = []
if n % 2 == 0:
ans = a2[::-1] + a1
else:
ans = a1[::-1] + a2
print(" ".join(str(i) for i in ans)) | Aasthaengg/IBMdataset | Python_codes/p03673/s463577715.py | s463577715.py | py | 282 | python | en | code | 0 | github-code | 90 |
2608643471 | import openai
# openai.organization = 'org-nuoujL7o1bWpXExT4n9H9Xpy'
with open ('./auto_bot_discord/gpt_key.txt','r') as f:
api_key = f.read()
# print(openai.Model.list())
def get_gpt_reply(api_key,query):
openai.api_key = api_key
model_engine = "text-davinci-001"
prompt = query
compl... | Yuxiang-M/Discord_bot_selenium | get_gpt_reply.py | get_gpt_reply.py | py | 685 | python | en | code | 2 | github-code | 90 |
17974873039 | N,K = map(int, input().split())
A = [int(i) for i in input().split()]
A.sort()
if A[-1] < K:
print("IMPOSSIBLE")
exit()
from bisect import bisect_left
flag = False
for i in range(N):
if A[i] == K:
flag = True
idx = bisect_left(A, K - A[i])
if idx < N and i != idx and A[idx] == K - A[... | Aasthaengg/IBMdataset | Python_codes/p03651/s430034835.py | s430034835.py | py | 405 | python | en | code | 0 | github-code | 90 |
5118574867 | #importando as bibliotecas
from iqoptionapi.stable_api import IQ_Option
import time, logging
from datetime import datetime
import getpass
email = str(input("Digite seu Email: "))
senha = getpass.getpass('Digite sua Senha: ')
API = IQ_Option(email, senha)
API.connect()#connect to iqoption
logging.disable(le... | favitor/teste | Bot.py | Bot.py | py | 1,685 | python | pt | code | 0 | github-code | 90 |
1309575136 | import sys
is_tinypy = "tinypy" in sys.version
if not is_tinypy:
from boot import *
import asm
import disasm
################################################################################
RM = 'rm -f '
VM = './tinypy '
TINYPY = './tinypy '
TMP = 'tmp.txt'
SANDBOX = '-sandbox' in ARGV
def system_rm(fname):
sy... | scrgiorgio/tinypy | tests.py | tests.py | py | 30,137 | python | en | code | 0 | github-code | 90 |
23197698947 | res = 0
c = ''
d = 0
while c != '999':
numb = int(input('Digite um numero [999 para parar]: '))
if numb == 999:
c = str(numb)
else:
res += numb
d += 1
print('Você digitou {} numeros e a soma entre eles foi {}'.format(d, res))
| isacepifanioo/python | desafios/d65.py | d65.py | py | 263 | python | pt | code | 2 | github-code | 90 |
70298207338 | from torch import nn
import math
import torch
from cogie.models import BaseModule
from transformers import BertModel
import numpy as np
from tqdm import tqdm
from sklearn.metrics import *
def gelu(x):
return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
class ConditionalLayerNorm(nn.Module):
def __init__(s... | jinzhuoran/CogIE | cogie/models/ee/bert_casee.py | bert_casee.py | py | 27,498 | python | en | code | 63 | github-code | 90 |
2339094632 | '''
对原始数据进行归一化操作，并变成1-1的训练数据形式
'''
import os
import numpy as np
import tarfile
import stat
import netCDF4 as nc
def Image_normalizeration(Image):
print(Image.shape)
x_norm = None
for i in range(len(Image)):
i = Image[i, :, :]
_range = np.max(i) - np.min(i)
image_norm = (i - np.min(... | dpp1013/GAN_tropical_cyclone | src/extractLatLon.py | extractLatLon.py | py | 3,112 | python | en | code | 2 | github-code | 90 |
18487535929 | n=int(input())
info=[list(map(int,input().split())) for i in range(n)]
for cx in range(0,101):
for cy in range(0,101):
H=-10**20
lim=10**20
for l in info:
x,y,h=l
if h==0:
lim=min(lim,abs(x-cx)+abs(y-cy))
else:
... | Aasthaengg/IBMdataset | Python_codes/p03240/s489264164.py | s489264164.py | py | 492 | python | en | code | 0 | github-code | 90 |
17952104879 | A,B,C,D,E,F = map(int,input().split())
water = set()
sugar = set()
s = 0
a = 0
b = 0
for i in range(30):
for j in range(30-i):
if 100*A*i+100*B*j <= F:
water.add(100*A*i+100*B*j)
water.remove(0)
for i in range(3000):
for j in range(3000-i):
if C*i+D*j <= F:
sugar.add... | Aasthaengg/IBMdataset | Python_codes/p03599/s197616012.py | s197616012.py | py | 782 | python | en | code | 0 | github-code | 90 |
9675889328 | import os
import json
# Co-Simulator imports
import common
import configurations_manager
from default_directories_enum import DefaultDirectories
from common.launching_manager import LaunchingManager
class CoSimulator:
"""
Class representing the Co-Simulator tool
Methods:
--------
run(args... | multiscale-cosim/TVB-NEST | launcher/common/cosimulator.py | cosimulator.py | py | 14,586 | python | en | code | 5 | github-code | 90 |
3391605544 | from src import objects
from src import utils
from edamino.api import Embed
from src.database import db
import time
from src.antispam.register import getLevel
async def get_user_checkins(ctx, userId):
timezone = time.timezone
resp = await ctx.client.request('GET', f"check-in/stats/{userId}?timezone={-timezone ... | leafylemontree/nati_amino-bot | src/subcommands/userInfo.py | userInfo.py | py | 2,886 | python | es | code | 5 | github-code | 90 |
37176620125 | import pandas as pd
import tensorflow as tf
import cv2
import urllib
import numpy as np
from urllib.request import urlopen, urlretrieve
from PIL import Image
# Plant Spy AI Deep Learning Models :
model_categorie = tf.keras.models.load_model('Models/model_LeNet1_Categorie_AllData_Softmax')
model_healthy = tf.kera... | ielboulo/PlantSpy | PlantSpyModels.py | PlantSpyModels.py | py | 10,085 | python | en | code | 0 | github-code | 90 |
18194476569 | import sys
def input():
return sys.stdin.readline().strip()
def main():
K = int(input())
S = input()
mod = 10 ** 9 + 7
n = len(S)
ans = 0
fact =[1]*(K+n)
factinv = [1]*(K+n)
inv = [0,1]
for i in range(2,K+n):
fact[i] = (fact[i-1] * i) % mod
inv.append((-inv[... | Aasthaengg/IBMdataset | Python_codes/p02632/s386908353.py | s386908353.py | py | 708 | python | en | code | 0 | github-code | 90 |
37120458457 | import sys
import argparse
#MonianHello
#2020年3月25日 01:57:02
#---
table='fZodR9XQDSUm21yCkr6zBqiveYah8bt4xsWpHnJE7jL5VG3guMTKNPAwcF'
tr={}
for i in range(58):
tr[table[i]]=i
s=[11,10,3,8,4,6]
xor=177451812
add=8728348608
def enc(x):
x=(x^xor)+add
r=list('BV1 4 1 7 ')
for i in range(6):
r[s[i]]=table[x//58**... | MonianHello/BilibiliVideoDownloader | changeavtobv.py | changeavtobv.py | py | 653 | python | ja | code | 2 | github-code | 90 |
72788008297 | # -*- coding: utf-8
from flask import Flask, jsonify, request
from models.db import db
app = Flask(__name__)
db.init_app(app)
app.config.from_object('config')
app.debug = app.config.get('DEBUG', False)
from models.models import Title, Name
from config import PAGE_SIZE
@app.route('/movies/<int:page>/')
def get_... | tdiak/imdbMoviesImporter | app.py | app.py | py | 1,201 | python | en | code | 0 | github-code | 90 |
18428385519 | MOD = 10 ** 9 + 7
CHARS = 'ACGT'
def pos(ch):
return CHARS.index(ch)
def ok(s):
if 'AGC' in s:
return False
l = list(s)
for i in range(len(s) - 1):
l[i], l[i + 1] = l[i + 1], l[i]
if 'AGC' in ''.join(l):
return False
l[i], l[i + 1] = l[i + 1], l[i]
retur... | Aasthaengg/IBMdataset | Python_codes/p03088/s248915004.py | s248915004.py | py | 1,182 | python | en | code | 0 | github-code | 90 |
18530995569 | def abc098_d():
n = int(input())
A = list(map(int, input().split()))
ans = 0
rt = 0
total = 0
for lf in range(n):
while rt < n:
if total ^ A[rt] == total + A[rt]:
total += A[rt]
rt += 1
else:
break
ans += rt ... | Aasthaengg/IBMdataset | Python_codes/p03340/s390402639.py | s390402639.py | py | 440 | python | en | code | 0 | github-code | 90 |
74845857896 | import processamento as process
import cv2
import webapi
import time
from flask import Flask
from flask_cors import CORS, cross_origin
app = Flask(__name__)
CORS(app)
@app.route('/capturarFoto')
def capturarFoto():
webapi.capturarImagem()
time.sleep(30) # em segundos, para esperar a captura da imagem
weba... | lucascalzavara/backend-pos | main.py | main.py | py | 890 | python | pt | code | 0 | github-code | 90 |
10545894656 | from decimal import Decimal, getcontext
getcontext().prec=50000
pi = 0
for k in range(10000):
pi += 1/Decimal(16)**k *\
(Decimal(4)/(8*k+1) -
Decimal(2)/(8*k+4) -
Decimal(1)/(8*k+5) -
Decimal(1)/(8*k+6))
if k % 100 == 99:
print(k, pi)
| sillyemperor/langstudy | python/py3study/bignumber/pi.py | pi.py | py | 295 | python | en | code | 0 | github-code | 90 |
156202670 | #!/usr/bin/env python
""" A unittest script for the Project module. """
import unittest
import json
from cutlass import Project
from cutlass import MIXS, MixsException
from CutlassTestConfig import CutlassTestConfig
from CutlassTestUtil import CutlassTestUtil
# pylint: disable=W0703, C1801
class ProjectTest(unitt... | ihmpdcc/cutlass | tests/test_project.py | test_project.py | py | 10,246 | python | en | code | 5 | github-code | 90 |
37418432451 | # 1. להכין רשימה של שמות
# 2. ליצור לולאה אשר אומרת בוקר טוב ולילה טוב לכל שם ברשימה
# 3. קודם הוא יגיד לכולם בוקר טוב ואחר כך הוא יגיד לכולם לילה טוב
# Bonus - > שלב 3 לעשות בלולאה 1
mystr="itay shay raz noam"
mylist=mystr.split()
for i in mylist:
print("good morning",i,"good night")
| ZENEVA66/python_hw | hm_lesson3.py | hm_lesson3.py | py | 418 | python | he | code | 0 | github-code | 90 |
34376760599 | ''' File to manage all dataset related stuff '''
import pandas as pd
from PIL import Image
import cv2
import torch
from torch.utils.data.dataset import Dataset
from torch.utils.data import DataLoader
from torchvision import transforms
from sklearn.model_selection import train_test_split
from collections import Count... | MIDATA-UofT/Imbalance-Mitigation-Wendi-Qu | read_dataset.py | read_dataset.py | py | 5,067 | python | en | code | 0 | github-code | 90 |
18198834369 | n=int(input())
a=list(map(int,input().split()))
a.sort()
c=[0]*(10**6+1)
ans=0
for i in range(n):
x=a[i]
if c[x]:
continue
else:
if i<=n-2:
if x!=a[i+1]:
ans+=1
else:
ans+=1
for j in range(x,10**6+1,x):
c[j]=1
print(ans) | Aasthaengg/IBMdataset | Python_codes/p02642/s747657531.py | s747657531.py | py | 317 | python | en | code | 0 | github-code | 90 |
10744233735 | #!/usr/bin/python
import numpy as np
import cupy as cp
class GC:
'Gamma Correction'
def __init__(self, img, mode,clip=1.0,gamma=0.5,bandwidth_bit=12):
self.img = img
#self.lut = lut
self.mode = mode
self.clip = clip
self.gamma = gamma
self.bandwidth_bit = bandwid... | eric612/CuPyISP | model/gac.py | gac.py | py | 2,129 | python | en | code | 1 | github-code | 90 |
4709552216 | #
# Полный обход дерева решений с отсечением
#
import sys
from datetime import timedelta
from timeit import default_timer as timer
from klasses import Task, STNode
import prefix
import nc
import cut_prefix
import children
import loggging
import ilayer
def solve(task: Task, log2=sys.stdout, gap=None):
"""Обход де... | ukoloff/PCGTSP-BnB | playground/walk.py | walk.py | py | 4,083 | python | en | code | 0 | github-code | 90 |
18198958109 | from collections import Counter
def solve(string):
n, *a = map(int, string.split())
table = [True] * (10**6 + 1)
ma = max(a)
for _a in a:
if table[_a]:
for i in range(2 * _a, ma + 1, _a):
table[i] = False
return str(sum(table[k] for k, v in Counter(a).items() if... | Aasthaengg/IBMdataset | Python_codes/p02642/s912248543.py | s912248543.py | py | 417 | python | en | code | 0 | github-code | 90 |
1220557582 | import matplotlib.pyplot as plt
# helper function for data visualization
import numpy as np
import torch
import torchmetrics
import cv2
import torch.nn as nn
from scipy import ndimage
from segmentation_models_pytorch.utils import base,functional
from segmentation_models_pytorch.base.modules import Activation
from seg... | FDU-VTS/DRAC | challenge1/utils.py | utils.py | py | 4,650 | python | en | code | 9 | github-code | 90 |
19182820226 | from datetime import datetime
from rest_framework import serializers
from django.core.files.base import ContentFile
import base64
import random
class Utils:
def convertFromBase64ToFile(image, name):
format, imgstr = image.split(';base64,') # type: ignore
if format != None:
ext = forma... | pparce/drf-backend | api/utils.py | utils.py | py | 2,037 | python | en | code | 0 | github-code | 90 |
18313078665 | #!/usr/bin/env python3
"""
WhatTheFuzz's submission for the <CTF> challenge '<name>.
This script can be used in the following manner:
python3 ./solve.py <REMOTE/LOCAL>
Args:
param1: LOCAL will operate locally on the user's machine.
REMOTE will connect to the CTF webserver and grab the flag.
... | WhatTheFuzz/CTFs | csaw/warm-up/password-checker/solve.py | solve.py | py | 2,611 | python | en | code | 1 | github-code | 90 |
43411908390 | class Hero():
def __init__(self, name, health, attackpower, armorNumber):
self.health = health
self.name = name
self.attackpower = attackpower
self.armorNumber = armorNumber
def serang (self, lawan):
print(self.name + ' menyerang ' + lawan.name)
lawan.... | edwwardz/Python | Object_oriented_program/practice.py | practice.py | py | 1,431 | python | en | code | 0 | github-code | 90 |
13974582029 | from flask import Flask, render_template, jsonify, request
import json
import process
app = Flask(__name__)
# secure our flask app with a secret
sec_file = open('secret.json').read()
secret = json.loads(sec_file)
app.config['SECRET_KEY'] = secret['secret']
# render the chatbot page
@app.route('/', methods=["GET", "P... | uknow4real/LetsChat | app.py | app.py | py | 817 | python | en | code | 0 | github-code | 90 |
16457906566 | import re
import urllib.request
import urllib.error
import urllib.parse
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
def get(url):
links=[]
chrome_options = Options()
chrome_options.add_argument('--headless')
chrome_options.add_argument('--disable-gpu')
dri... | Junewang0614/NetEase-Music | Get_Tag_infor/web_get.py | web_get.py | py | 1,542 | python | en | code | 0 | github-code | 90 |
6384889598 | from errors.base_error import BaseError
class AuthenticationError(BaseError):
INVALID_CREDENTIALS = 'INVALID_CREDENTIALS'
def __init__(self, code: str):
message = self._get_error_message_by_code(code)
super(AuthenticationError, self).__init__(code, message)
@staticmethod
def _get_er... | EduardoThums/online-bookstore-challenge | errors/authentication_error.py | authentication_error.py | py | 492 | python | en | code | 0 | github-code | 90 |
10557953846 | baralho = int(raw_input())
while baralho:
vet = range(1, baralho+1)
# for card in vet:
# print(card)
vet.reverse()
popados = ''
virgula = False
while not (len(vet) == 1):
if virgula:
popados = popados + ', '
popados = popados + str(vet.pop())
vet.inser... | CaiqueMitsuoka/Fatec3 | ed/1110.py | 1110.py | py | 475 | python | en | code | 0 | github-code | 90 |
42955186738 | from encodings import utf_8
import logging
import sys
import html
import re
from wsgiref.util import request_uri
from twisted.internet import reactor
from twisted.internet import error
from twisted.web.server import Site
from twisted.web.resource import Resource, NoResource
LOGGER = logging.getLogger(__name__)
THIS_... | asterisk/testsuite | lib/python/asterisk/realtime_test_module.py | realtime_test_module.py | py | 20,186 | python | en | code | 30 | github-code | 90 |
19683367358 | import tkinter as tk
from tkinter import font
from functools import partial
from tkinter.constants import COMMAND, TRUE
from Province import Province
"""
interface TuristicPlace {
name: string;
image?: string;
description: string;
cost: number;
includes: string[];
}
"""
class Place(tk.Frame):
def __... | misaelvillaverde/parcial1_algoritmos | src/Place.py | Place.py | py | 2,175 | python | en | code | 0 | github-code | 90 |
22249323386 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
from __future__ import division
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def day_diff(ts, order=1):
y=pd.Series(ts)
for i in range(order):
y=y.groupby(by=y.index.date).transform(pd.Series.diff)
return y
#get the 1-step fore... | PINGYANG-PY/bus_arrival_time_prediction | PartA/detrend.py | detrend.py | py | 7,542 | python | en | code | 6 | github-code | 90 |
36573624501 | """
This module provides an implementation of a filter strategy to sort
products from highest to lowest price.
"""
import os
import sys
from typing import Dict, List, Any
current_dir = os.path.dirname(os.path.realpath(__file__))
src = os.path.dirname(current_dir)
sys.path.append(src)
from strategy.FilterStrategyInte... | IvanZelenkov/Good-Buy | good-buy-backend/good-buy-filter-products-handler/src/strategy/PriceStrategy.py | PriceStrategy.py | py | 1,995 | python | en | code | 3 | github-code | 90 |
72106031338 | import numpy as np
import pandas as pd
from numpy import savetxt
from sklearn import svm
from sklearn.linear_model import Ridge
from sklearn.linear_model import RidgeCV
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import LogisticRegressionCV
def linear_regression(xTr, yTr):
# model ... | heming-zhang/MachineLearning-Projects | milestone1/linear_regression.py | linear_regression.py | py | 1,331 | python | en | code | 0 | github-code | 90 |
21506617075 | import yolov5
import matplotlib.pyplot as plt
import torch
import cv2
import numpy as np
import time
import random
# pass these when calling the function
areaArr = [[(430,67),(111,488),(962,478),(610,61)],[(626,246),(163,490),(731,487),(718,254)],[(362,145),(242,485),(927,485),(618,135)],[(608,209),(365,490),(775,495),... | rampantvoid/UHackathon-4.0 | Code/main_edit.py | main_edit.py | py | 9,010 | python | en | code | 1 | github-code | 90 |
26792394448 | """Unum unit definitions
Add new units at end of file
"""
import importlib.util
import sys
from pathlib import Path
# from rivt.unum.core import *
# from rivt.unum.utils import *
from rivt.unum.core import new_unit
# from rivt.unum.utils import uarray
from rivt.unum.core import Unum
rvpath = importlib.util.find... | rholland/rivt | units.py | units.py | py | 4,215 | python | en | code | 0 | github-code | 90 |
21335134881 | import requests
import re
import sys
#sys.path.insert(0, 'P:\\Project\\MyProject\\AvitoParser\\YearOfConstruction\\')
#path_file_streets='P:\\Project\\MyProject\\AvitoParser\\YearOfConstruction\\'
sys.path.insert(0, 'D:\\v.orlov\\Programm\\python\\2\\AvitoParser\\YearOfConstruction\\')
path_file_streets='D:\\v.orlov\\P... | Bargota/AvitoParser | BaseParser.py | BaseParser.py | py | 5,599 | python | en | code | 0 | github-code | 90 |
70805212137 | # 8. Write a Python function that takes a list and returns a new list with unique
# elements of the first list.
# Sample List : [1,2,3,3,3,3,4,5]
# Unique List : [1, 2, 3, 4, 5]
def u_list(l):
lst=[]
for i in l:
if i not in lst:
lst.append(i)
return lst
print( u_list([1,2,3,3,3,3,4,5])) | bhatkrishna/assignment | assignment/problem8.py | problem8.py | py | 320 | python | en | code | 0 | github-code | 90 |
33531422801 | import json
import time
import message
from typing import Tuple
from scipy.stats import norm
from datetime import datetime
import settings
class Photovoltaic:
def __init__(self):
self.results_file = settings.results_file
self.sample_rate = settings.sample_rate
@ staticmethod
def powe... | jarednewell/Photovoltaic_and_Power_Meter_Simulator | photovoltaic.py | photovoltaic.py | py | 3,042 | python | en | code | 0 | github-code | 90 |
18404358439 | s = list(input())
a = int("".join(s[:2]))
b = int("".join(s[2:]))
c = 0
d = 0
if a and a <= 12:
c = 1
if b and b <= 12:
d = 1
if c and d:
print("AMBIGUOUS")
elif c:
print("MMYY")
elif d:
print("YYMM")
else:
print("NA") | Aasthaengg/IBMdataset | Python_codes/p03042/s484720907.py | s484720907.py | py | 242 | python | en | code | 0 | github-code | 90 |
14385974487 | #!/usr/bin/python3
import re
import nltk
import sys
import getopt
import pickle
import linkedlist
def usage():
print("usage: " + sys.argv[0] + " -d dictionaryAttempt-file -p postingsAttempt-file -D dictionaryActual-file -P postingsActual-file")
def getPostings(postings_file, dictionary):
postings = {}
wit... | over-fitted/cs3245-hw-2 | test.py | test.py | py | 2,837 | python | en | code | 0 | github-code | 90 |
4054367671 | import copy
from torch import load
import logging
from torchvision.models import resnet18, resnet34, resnet50, resnet101
def get_key(conv_type):
dst_key = None
if 'resnet' in conv_type :
dst_key = "bn1."
return dst_key
def get_model(backbone_type, pretrained=False, pretrain_path=None, **kwargs):
... | GiantJun/balmoco | backbones/network.py | network.py | py | 2,031 | python | en | code | 0 | github-code | 90 |
21473971155 | # pygame demo 5 - drawing
# 1 - Import packages
import pygame
from pygame.locals import *
import sys
# 2 - Define constants
WINDOW_WIDTH = 640
WINDOW_HEIGHT = 480
FRAMES_PER_SECOND = 30
GRAY = (230, 230, 230)
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLUE = (0, 0, 255)
YELLOW = (... | IrvKalb/Object-Oriented-Python-Code | Chapter_5/PygameDemo5_DrawingShapes.py | PygameDemo5_DrawingShapes.py | py | 2,811 | python | en | code | 207 | github-code | 90 |
21406570448 | from torch import nn
from transformers import BertModel, BertTokenizer
from transformers import AdamW
from tqdm import tqdm
import torch
num_class=2
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class BertClassificationModel(nn.Module):
def __init__(self,hidden_size=768): # bert默认最后输出维度为... | nuaazs/BERT_Fraud | anti-fraud/SST/bert.py | bert.py | py | 1,663 | python | en | code | 0 | github-code | 90 |
34999084105 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'wang.zhiqiang'
class ListNode(object):
def __init__(self, elem, next_=None):
self.elem = elem
self.next = next_
def __str__(self):
if self is None:
return 'None'
return str(self.elem) + '-' + self.next.__... | Aixi1995/py-common-test | list_node.py | list_node.py | py | 783 | python | en | code | 0 | github-code | 90 |
18469857249 | #!/usr/bin/env python
# coding: utf-8
# In[15]:
N = int(input())
a = []
for _ in range(N):
a += [int(input())]
# In[16]:
if all([x%2==0 for x in a]):
print("second")
else:
print("first")
# In[ ]:
| Aasthaengg/IBMdataset | Python_codes/p03197/s659301005.py | s659301005.py | py | 221 | python | en | code | 0 | github-code | 90 |
23424745636 | """
Here lies the code for creating the df, feature pair that constitutes a model suite.
It will also return the folder name.
These models are called by user manually in create many model suites
"""
#%%
from constants import UPDATED_TRAINING_DB, DROPBOX_PATH
CENTURY = 20
from Oracle import train_model_suite
from Oracl... | xflynx25/boring_uninteresting_repo | models.py | models.py | py | 13,785 | python | en | code | 1 | github-code | 90 |
25759956153 | import math #used for atan
import time
class kalmanFilter:
#initialize
def __init__(self):
self.Q_angle = float(0.01) #this is a variance
self.Q_gyro = float(0.0003) #this is a variance
self.R_angle = float(0.01) #this is a variance
self.x_bias = float(0)
self.y_bias = float(0)
self.z_bias = float(0)... | doomboss/ELEC650 | old/kf.py | kf.py | py | 5,052 | python | en | code | 0 | github-code | 90 |
18420904625 | from fastapi import FastAPI, HTTPException, Query
from pydantic import BaseModel
from transformers import BertForSequenceClassification, BertTokenizerFast
import torch
app = FastAPI()
model_path = "Model"
model = BertForSequenceClassification.from_pretrained(model_path)
tokenizer = BertTokenizerFast.from_pretrained(... | theomyway/FlaskAPI | app.py | app.py | py | 1,064 | python | en | code | 0 | github-code | 90 |
43728112511 | # Sirohi, Krishnakant Singh
# 1001-668-969
# 2019-12_01
# Assignment-04-03
import tensorflow as tf
from cnn import CNN
batch_size = 64
num_classes = 10
epochs = 1
num_predictions = 20
(x_train, y_train),(x_test,y_test) = tf.keras.datasets.cifar10.load_data()
y_train = tf.keras.utils.to_categorical(y_train, num_class... | krishnakantsirohi/Neural_Networks | Convolutional_Neural_Network/Sirohi-04-03.py | Sirohi-04-03.py | py | 1,392 | python | en | code | 0 | github-code | 90 |
20493119144 | from __future__ import annotations
from pathlib import Path
from typing import TYPE_CHECKING
from comment_parser.comment_parser import extract_comments_from_str
from lark import Lark, Transformer
from lark.exceptions import UnexpectedCharacters, UnexpectedEOF, UnexpectedToken
from ..components import State, Transiti... | codetent/project_momos | momos/parser/parse.py | parse.py | py | 3,770 | python | en | code | 2 | github-code | 90 |
13268325219 | __metaclass__ = type
__all__ = [
'_b',
'_u',
'advance_iterator',
'BytesIO',
'classtypes',
'istext',
'str_is_unicode',
'StringIO',
'reraise',
'unicode_output_stream',
'text_or_bytes',
]
import codecs
import io
import locale
import os
import re
import sys
import traceback
... | fbla-competitive-events/coding-programming | 2018/10th/bigsql/python2/Lib/site-packages/testtools/compat.py | compat.py | py | 7,835 | python | en | code | 7 | github-code | 90 |
11619825966 | # Fibonacci: 0 1 1 2 3 5 8 13
from typing import Generator, List
# loop 1
fib_current = 0
fib_next = 1
for _ in range(5):
# procedural syntax
tmp = fib_next
fib_next = fib_next + fib_current
print(fib_current)
fib_current = tmp
# loop 2
fib_current = 0
fib_next = 1
fib_list = []
for _ in range(... | dbongartz/windmill_py_exp | fib/fib.py | fib.py | py | 3,648 | python | en | code | 0 | github-code | 90 |
29616541979 | import serial
try:
import smbus2
except:
print("could not import smbus")
class MCU:
'''Generic class to represent a microcontroller.
'''
def __init__(self, port='/dev/ttyAMA0', address=00, baud=115200, start_marker='<', end_marker='>'):
try:
self._serial_port = serial.Serial(po... | SeanTedesco/satellite-systems | src/satsystems/common/mcu.py | mcu.py | py | 3,114 | python | en | code | 0 | github-code | 90 |
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