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23230602110 | import ui
from PIL import Image as ImageP
import io
import random
mainWindow = ui.View()
mainWindow.name = 'Image Conversion'
mainWindow.background_color = 'white'
mainWindow.width = 700 #ui.get_screen_size().width
mainWindow.height = 700 #ui.get_screen_size().height
def pil2ui(pil_img):
with io.BytesIO() as buffer... | WhittlinRich/python | ImageConversion.py | ImageConversion.py | py | 955 | python | en | code | 0 | github-code | 6 |
71935407547 | import os
import numpy as np
from sklearn.metrics import confusion_matrix
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from tqdm import tqdm
from glob import glob
import ffmpeg
import warnings
warnings.filterwarnings('ignore')
classes = {'простой': 0,
'вынужденная': 1,
... | vitalymegabyte/koblik_family | train_scripts/split_train_val.py | split_train_val.py | py | 1,745 | python | en | code | 0 | github-code | 6 |
25987362528 | import argparse
import dataclasses
import subprocess
import sys
from datetime import datetime
from typing import List
from testcase import get_cli_base_cmd
from testcase import Result
base_cmd = get_cli_base_cmd()
@dataclasses.dataclass
class CleanupItem:
name: str
list_cmd: str
del_cmd: str
items: ... | cloudtruth/cloudtruth-cli | integration-tests/cleanup.py | cleanup.py | py | 4,892 | python | en | code | 4 | github-code | 6 |
22432578680 | import pandas as pd
from openpyxl.styles import PatternFill
def rgb_to_hex(rgb):
return '%02x%02x%02x' % rgb
def darken(hex_code, shade):
shade = shade/10
#add something to convert shade number ie 9 actually equals 10% darker
RGB = tuple(int(hex_code[i:i + 2], 16) for i in (0, 2, 4))
... | mbgoodin/ColorShadeGenerator | main.py | main.py | py | 6,351 | python | en | code | 0 | github-code | 6 |
10929065262 | from os import system
system('clear')
lista_membros = list()
familia = dict()
# familia = [{'nome': 'Joemar', 'idade': 60, 'cor dos olhos': 'Castanhos'},
# {'nome': 'Alessandra', 'idade': 50, 'cor dos olhos': 'Pretos'},
# {'nome': 'Jean', 'idade': 26, 'cor dos olhos': 'Pretos'},
# ... | ThallesCansi/Programacao-para-Web | 1º Bimestre/Capítulo 01 - Fundamentos da Linguagem/Exercício 1.29.py | Exercício 1.29.py | py | 999 | python | pt | code | 0 | github-code | 6 |
21397176119 | import os
import statistics
import sys
import httpx
from dotenv import load_dotenv
load_dotenv(sys.argv[1])
url = os.environ['url']
attempts = int(os.environ.get('attempts', 100))
payload = os.environ.get('payload')
auth_header = os.environ.get('auth_header', 'X-Racetrack-Auth')
auth_token = os.environ.get('auth_to... | TheRacetrack/racetrack | tests/performance/response_time_test.py | response_time_test.py | py | 1,757 | python | en | code | 27 | github-code | 6 |
73502078587 | #from threading import Thread
from bs4 import BeautifulSoup
import pandas as pd
#import os
#import sys
from selenium import webdriver
#from selenium.webdriver.common.proxy import *
from time import gmtime, strftime, sleep
#import sqlite3
#from queue import Queue
#import re
import requests
cities_frame = pd.read_html('... | erelin6613/crawler | file_companies.py | file_companies.py | py | 3,325 | python | en | code | 0 | github-code | 6 |
24301910796 | import os
import re
from glob import glob
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from IPython import get_ipython
POSSIBLE_LABELS = 'yes no up down left right on off stop go silence unknown'.split()
id2name = {i: name for i, name in enumerate(POSSIBLE_LABELS)}
name2id = {name: i for i, ... | 105318102/Eric-Liu | test.py | test.py | py | 3,536 | python | en | code | 0 | github-code | 6 |
13818867772 | """
Demo of custom tick-labels with user-defined rotation.
"""
import math
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
from matplotlib.widgets import Slider, Button, RadioButtons
z = int(input("how long you wanna go? "))
n1 = 2
n2 = int(input("another number "))
xcor = []
ycor =[]
lc... | fastaro/FFimages | polar.py | polar.py | py | 1,243 | python | en | code | 0 | github-code | 6 |
28806070886 | from __future__ import annotations
import copy
import datetime
import importlib.util
import json
import logging
import os
import random
import statistics
from abc import ABCMeta
from abc import abstractmethod
from typing import IO
from typing import TYPE_CHECKING
from typing import Any
from typing import Callable
from... | coddingtonbear/jira-select | jira_select/plugin.py | plugin.py | py | 10,204 | python | en | code | 22 | github-code | 6 |
18016139374 | from scapy.all import *
MAC_A = "02:42:0a:09:00:05"
IP_B = "192.168.60.5"
def spoof_pkt(pkt):
newpkt = IP(bytes(pkt[IP]))
del(newpkt.chksum)
del(newpkt[TCP].payload)
del(newpkt[TCP].chksum)
if pkt[TCP].payload:
data = pkt[TCP].payload.load
newdata = data.replace(b'seedlabs', b... | kimnamhyeon0112/2023-2_Information_Security | Week4_Prac02_Malicious_Router.py | Week4_Prac02_Malicious_Router.py | py | 518 | python | en | code | 0 | github-code | 6 |
16543533799 | from durable.lang import *
from flask import request
from scripts import REDataHeader as Header
from scripts import REResponseCode as ResponseCode
from scripts.QuestionDomain.QuestionTree import QuestionTree
import json
STAGE_INIT = "1"
STAGE_VALIDATION = "2"
STAGE_VERIFICATION = "3"
STAGE_PROCESS = "4"
STAGE_TERMINAT... | Grimmii/TrainChatBot | src/scripts/RE_flow_QnA.py | RE_flow_QnA.py | py | 1,923 | python | en | code | 0 | github-code | 6 |
5092362437 | # For taking space seperated integer variable inputs.
def invr():
return(map(int, input().split()))
def sum_of_digits(n):
s = 0
while n > 0:
s += n % 10
n = n // 10
return s
N, A, B = invr()
S = 0
for i in range(1, N+1):
s = sum_of_digits(i)
if s >= A and s <= B:
S +... | sudiptob2/atcoder-training | Easy 100/51.some sums.py | 51.some sums.py | py | 333 | python | en | code | 2 | github-code | 6 |
27595046406 | from PyQt5.QtGui import QFont
from PyQt5.QtWidgets import (
QHBoxLayout,
QListWidgetItem,
QCheckBox,
QGridLayout,
QWidget,
QComboBox,
QListWidget,
)
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
import matplotlib
import matplotlib.pyplot as plt
from code_SR... | GB127/SRC-statistics | plots/save_plot.py | save_plot.py | py | 2,948 | python | en | code | 0 | github-code | 6 |
41666390681 | names = []
with open('employees.txt', 'r') as file:
for line in file:
name = line.strip()
names.append(name)
with open('template.txt', 'r') as file:
template = file.read()
import os
if not os.path.exists('christmasCards'):
os.mkdir('christmasCards')
for name in names:
card_content = t... | milanasokolova/christmasCards | christmas.py | christmas.py | py | 442 | python | en | code | 0 | github-code | 6 |
1584215151 | from django.contrib import admin
from django.core.urlresolvers import reverse
from django.http import (HttpResponseRedirect, HttpResponseBadRequest,
HttpResponseNotAllowed, HttpResponse, HttpResponseForbidden)
from django.shortcuts import render_to_response
from django.template.context import RequestContext
from d... | beniwohli/django-minitrue | minitrue/admin.py | admin.py | py | 2,968 | python | en | code | 4 | github-code | 6 |
11654464179 | import numpy as np
import matplotlib.pyplot as plt
import sys
import datetime
import time
import os
from scipy import optimize
import yaml
from matplotlib import rcParams
import matplotlib.patches as mpatches
from matplotlib import cm
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
imp... | sqvarfort/modified-gravity-optomech | force_plot_alpha_lambda.py | force_plot_alpha_lambda.py | py | 5,239 | python | en | code | 0 | github-code | 6 |
16974087058 | #!/usr/bin/python3
from pwn import *
# Telnet
sh = remote("ip", 30888)
# SSH:
# sh = ssh('user', 'ip', password='pass', port=22)
# Exec
# process('./exec')
# conn.sendlineafter(b"> ", b"1")
sh.sendline(b'ls')
flag = sh.recvline(timeout=5)
log.success(flag)
sh.interactive()
sh.close() | sawyerf/HackSheet | scripts/pwn-connect.py | pwn-connect.py | py | 289 | python | en | code | 30 | github-code | 6 |
71379589627 | #ContinuousQuantumWalkSearch
from numpy import *
from matplotlib.pyplot import *
import matplotlib
from scipy import linalg
import sys
from numpy import kron
from numpy.core.umath import absolute
matplotlib.rcParams.update({'font.size': 15})
rcParams['figure.figsize'] = 11, 8
def init(N):
psi0 = ones((N,1))/ sqrt... | JaimePSantos/Dissertation-Tex-Code | Coding/Python Simulations/ContinuousQW/Search/runSearch.py | runSearch.py | py | 4,819 | python | en | code | 0 | github-code | 6 |
23231610787 | from rest_framework import generics
from rest_framework.permissions import IsAuthenticated
from nav_client.serializers import (
DeviceSerializer,
GeozoneSerializer,
NavMtIdSerializer)
from nav_client.models import (Device,
SyncDate,
GeoZone,
... | alldevic/route-log | nav_client/views.py | views.py | py | 4,160 | python | en | code | 0 | github-code | 6 |
25418145080 | from sys import stdin
from itertools import permutations
line = list(map(int, stdin.readline().split()))
N = line[0]
M = line[1]
arr = [x for x in range(1, N + 1)]
per = list(permutations(arr, M))
for p in per:
print(" ".join(map(str, p)))
| jaehui327/Algo | 백준/Silver/15649. N과 M （1）/N과 M （1）.py | N과 M （1）.py | py | 245 | python | en | code | 0 | github-code | 6 |
32097638349 | # -*- coding: utf-8 -*-
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at http://mozilla.org/MPL/2.0/.
import ctypes
import logging
import os
import pathlib
import sys
from ..common.pool import Poo... | MozillaSecurity/fuzzing-tc | fuzzing_tc/pool_launch/launcher.py | launcher.py | py | 3,020 | python | en | code | 2 | github-code | 6 |
21353899395 | from typing import List, Optional
from copy import deepcopy
class Solution:
def findLadders(self, beginWord: str, endWord: str, wordList: List[str]) -> List[List[str]]:
n = len(wordList)
slen = len(wordList[0])
wordList = set(wordList)
if endWord not in wordList:
return... | Alex-Beng/ojs | FuckLeetcode/126. 单词接龙 II.py | 126. 单词接龙 II.py | py | 2,135 | python | en | code | 0 | github-code | 6 |
8337411728 | import os
import sys, shutil
def setup_run(rundir, inflow, outflow, update1, initial1, update2, initial2):
os.chdir(rundir)
shutil.copy('avida.cfg', 'avida.cfg.bak')
shutil.copy('environment.cfg', 'environment.cfg.bak')
shutil.copy('events.cfg', 'events.cfg.bak')
# modify environment.cfg
fp = ... | ctb/beacon | ltee/yuanjie-create-runs.py | yuanjie-create-runs.py | py | 867 | python | en | code | 2 | github-code | 6 |
42493961152 | #!/usr/bin/env python3
"""Program for testing constrained sequence alignm"""
import subprocess
from pprint import pprint
import json
import argparse
import sys
import string
import random
import datetime
from constrain_align import run_blast
AMINO_ACIDS = "GAVLIPFYWSTCMNQKRHDE"
NUM_PRINT = 50
def main():
"""Main... | westelizabeth/conSequences | test_script.py | test_script.py | py | 3,714 | python | en | code | 0 | github-code | 6 |
18603320645 | from aiogram import Bot, types
from aiogram.dispatcher import Dispatcher
from aiogram.dispatcher import FSMContext
from aiogram.utils import executor
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.contrib.fsm_storage.memory import MemoryStorage
import logging
import sqlite3
from ... | pytera895143242/nasar3rep | nasar3bot.py | nasar3bot.py | py | 23,352 | python | ru | code | 0 | github-code | 6 |
1363896081 | import datetime
from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar, Union
from attrs import define as _attrs_define
from attrs import field as _attrs_field
from dateutil.parser import isoparse
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..models.actor_v2_response_body import ActorV2Resp... | expobrain/python-incidentio-client | incident_io_client/models/incident_update_v2_response_body.py | incident_update_v2_response_body.py | py | 6,464 | python | en | code | 4 | github-code | 6 |
16119646284 | # 언어 : Python, (성공/실패) : 1/1, 메모리 : 30840KB, 시간 : 72ms
C = int(input())
for i in range(C):
N = list(map(int, input().split()))
avg = sum(N[1:]) / N[0]
count = 0
for i in N[1:]:
if (avg < i):
count += 1
print("{:.3f}%".format((count / N[0]) * 100))
| sujeong11/Algorithm | 기초/1차원 배열/4344_평균은 넘겠지.py | 4344_평균은 넘겠지.py | py | 315 | python | ko | code | 0 | github-code | 6 |
10381696055 | '''
Question 8.2
'''
import math
import numpy as np
import matplotlib.pyplot as plt
## set up for initial parameters
k1 = 100
k2 = 600
k3 = 150
## define four functions of rate of changes of E, S ES and P
def fun_E (E, S, ES, P):
return -k1*E*S + (k2+k3)*ES
def fun_S (E, S, ES, P):
return ... | Sguwj/NTU-Test-Question | Answer to Question 2/Code for Question 2.py | Code for Question 2.py | py | 3,042 | python | en | code | 0 | github-code | 6 |
71969383869 | from kfp.components import InputPath, OutputPath
def SchemaGen(
statistics_path: InputPath('ExampleStatistics'),
schema_path: OutputPath('Schema'),
infer_feature_shape: bool = None, # ? False
):
"""Constructs a SchemaGen component.
Args:
statistics: A Channel of `ExampleStatistics` type (re... | kubeflow/kfp-tekton-backend | components/tfx/SchemaGen/component.py | component.py | py | 3,687 | python | en | code | 8 | github-code | 6 |
24957689753 | class Solution(object):
def canFinish(self, numCourses, prerequisites):
"""
:type numCourses: int
:type prerequisites: List[List[int]]
:rtype: bool
"""
adjList = [list() for _ in range(numCourses)]
degree = [0] * numCourses
for i in r... | MrBmikhael/LeetCodeProblems | 207-course-schedule/207-course-schedule.py | 207-course-schedule.py | py | 867 | python | en | code | 0 | github-code | 6 |
41935110854 | import sys
input = sys.stdin.readline
def promising(row):
# 같은 열이면 안 되고, 대각선상에 있어도 안 된다.
for i in range(row):
if board[row] == board[i] or row - i == abs(board[row] - board[i]):
return 0
return 1
def dfs(row):
global ans
# 마지막 행까지 수행하고 여기까지 오면 찾기 완료
if row == N:
... | hyungJinn/pythonStudy | BAEKJOON/Backtracking/9663_N-Queen.py | 9663_N-Queen.py | py | 609 | python | ko | code | 0 | github-code | 6 |
73816206588 |
def int_trapezoidal(function, a, b, m):
'''Trapezna formula za rjesavanje odredenog intervala.'''
h = (b - a)/m #korak integracija
f_a = function(a) #vrijednost funkcije u pocetnoj tocki
f_b = function(b) #vrijednost funkcije u krajnjoj tocki
rez = (f_a + f_b)/2
k = 1
while k < m:
... | FabjanJozic/MMF3 | Predavanje8_integracija/integral.py | integral.py | py | 868 | python | hr | code | 0 | github-code | 6 |
15365101221 | import io
# For Data Lake
from hdfs import InsecureClient
# For Data Warehouse
from pyhive import hive
import pandas as pd
df_source = pd.read_csv(r'output/news.csv')
df_source['News'] = df_source['News'].str.replace(r',', '')
# Define HDFS interface
hdfs_interface = InsecureClient('http://localhost:50070')
hdfs_in... | Danesh-WQD180067/WQD7005-Group | data_mining/warehousing_news.py | warehousing_news.py | py | 1,754 | python | en | code | 0 | github-code | 6 |
14065976550 | from django.db import models
# Create your models here.
PRIORITY = (('danger', 'high'),('info','normal'),('success','low')) # (保存されるデータ, 表示データ)
class TodoModel(models.Model):
title = models.CharField(max_length=100)
memo = models.TextField()
priority = models.CharField(
max_length=50,
cho... | takuya2816/Todo | todoapp/models.py | models.py | py | 540 | python | en | code | 0 | github-code | 6 |
38967021451 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
from scrapy.pipelines.images import ImagesPipeline
import sqlite3
import scrapy
import re
from scrapy.exceptions import DropItem... | zaoyubo/desk_zol | desk_zol/pipelines.py | pipelines.py | py | 2,321 | python | en | code | 0 | github-code | 6 |
17403072234 | #https://pyformat.info/
"Hello {}, my name is {}".format('john', 'mike')
#'Hello john, my name is mike'.
"{1}, {0}".format('world', 'Hello')
#'Hello, world'
"{greeting}, {}".format('world', greeting='Hello')
#'Hello, world'
data = {'first': 'Hodor', 'last': 'Hodor!'}
'{first} {last}'.format(**data)
#'Hodor Hodor!'... | vdatasci/Python | ETL/Format.py | Format.py | py | 447 | python | en | code | 1 | github-code | 6 |
11615085313 | import os
def detector(file):
with open(file,'r') as f:
filecontent=f.read()
if 'binod' in filecontent.lower():
print(f"Binod is here in file {file}")
if __name__ == '__main__':
for i in os.listdir():
if i.endswith('py'):
detector(i) | Coder-X27/Python-CWH | CWH Playlist Problems/07-A particular word detector.py | 07-A particular word detector.py | py | 282 | python | en | code | 1 | github-code | 6 |
16592394886 | import cv2
import numpy as np
import importlib
from ProcessImage import PreProcessImages
if __name__ == '__main__':
filename = '../assets/models/Rectangle.png'
dim = (600, 600)
img = cv2.resize(cv2.imread(filename), dim)
# prepare main algorithm
algo = PreProcessImages()
# wrapped image
... | DesaleF/TRDP_AR | src/test-algo.py | test-algo.py | py | 544 | python | en | code | 0 | github-code | 6 |
4685056088 | import argparse
import configparser
import importlib
import logging
import pathlib
import time
import telegram
from telegram.ext import Updater
from telegram.utils.helpers import escape_markdown
from handlers.message_handlers import UploadNewTorrent
from helpers import format_speed
PARSER = argparse.ArgumentParser(... | dolohow/tdpt | tdpt/__main__.py | __main__.py | py | 4,387 | python | en | code | 33 | github-code | 6 |
17883527707 | import json
import os
from click.testing import CliRunner
from demisto_sdk.__main__ import main
from demisto_sdk.tests.test_files.validate_integration_test_valid_types import (
DASHBOARD, GENERIC_MODULE, UNIFIED_GENERIC_MODULE)
from TestSuite.test_tools import ChangeCWD
UNIFY_CMD = "unify"
class TestGenericMod... | AdouniH/demisto-sdk | demisto_sdk/tests/integration_tests/unify_integration_test.py | unify_integration_test.py | py | 1,653 | python | en | code | null | github-code | 6 |
71576261627 |
import os
import numpy as np
import pandas as pd
import torch
from ...StableDiffuser import StableDiffuser
def edit_output(activation, name):
activation[:] = 0.0
return activation
def main(inpath, outpath, device):
diffuser = StableDiffuser(scheduler='LMS').to(torch.device(device)).half()
lay... | JadenFiotto-Kaufman/thesis | thesis/experiments/cr/cr.py | cr.py | py | 1,304 | python | en | code | 0 | github-code | 6 |
18322570607 | # coding: utf-8
import pprint
import six
class ExchangeRateModel(object):
field_types = {
'from': 'str',
'to': 'str',
'rate': 'float'
}
attribute_map = {
'from_str': 'from',
'to': 'to',
'rate': 'rate'
}
def __init__(self, from_str=None, to=None, ... | UniCryptoLab/UniPaymentClient.Python | UniPaymentClient/unipayment/models/exchange_rate_model.py | exchange_rate_model.py | py | 2,391 | python | en | code | 0 | github-code | 6 |
32791878864 | #!/usr/bin/python3
from dataclasses import dataclass
import csv
import json
from operator import itemgetter
class ViaFile:
def __init__(self, filename, object_type, image_filename = "", has_header = True):
header = has_header
if len(image_filename) > 0:
filter_image = Tru... | mark-bell-tna/QSR | read_via.py | read_via.py | py | 2,662 | python | en | code | 0 | github-code | 6 |
24643551555 | import mcpi.minecraft as minecraft
import mcpi.block as block
mc = minecraft.Minecraft.create()
mc.postToChat("Go find the block")
from random import randint
p = mc.player.getTilePos()
x = p.x + randint(-20, 20)
y = p.y + randint(-5, 5)
z = p.z + randint(-20, 20)
mc.setBlock(x, y, z, block.GOLD_BLOCK.id)
from gpioze... | fpizzardo/physicalComputing | findablock.py | findablock.py | py | 960 | python | en | code | 0 | github-code | 6 |
25261775377 | import json
import mimetypes
import re
from dataclasses import dataclass
from datetime import datetime
from os import walk
from os.path import exists, join, splitext
from typing import Dict, Optional
from urllib.parse import urlparse
import requests
from bs4 import BeautifulSoup
from dataclasses_json import dataclass_... | evoth/blog | scripts/get_link_preview_data.py | get_link_preview_data.py | py | 4,523 | python | en | code | 0 | github-code | 6 |
5290873792 | from gi.repository import Gtk, GObject
from .gi_composites import GtkTemplate
from .KanbanListView import KanbanListView
@GtkTemplate(ui='/org/gnome/kanban/ui/board.ui')
class BoardView(Gtk.Box):
__gtype_name__ = 'BoardView'
__gsignals__ = {
"signal-task-move-up": (GObject.SIGNAL_ACTION, None, ()),
... | pawel-jakubowski/kanban | src/view/BoardView.py | BoardView.py | py | 4,582 | python | en | code | 6 | github-code | 6 |
34170958465 | #Alejandro_Reyes_InClassExercise6
#Alejandro Reyes
#3/9/15
#This program will emulate a vendng machine
#It will provide the user with a menu from which to make a selection
def main():
# Initializing variables
selection = ""
cost = 0.0
payment = 0.0
change = 0.0
menu ()
# User will make ... | alejandroereyes/vending_machine_py | vending_machine.py | vending_machine.py | py | 3,652 | python | en | code | 0 | github-code | 6 |
34012996402 | import argparse
import scipy
from scipy import ndimage
import cv2
import numpy as np
import sys
import json
import torch
from torch.autograd import Variable
import torchvision.models as models
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
from torch.utils import data
# from network... | jianpengz/EfficientSeg | evaluate.py | evaluate.py | py | 14,181 | python | en | code | 3 | github-code | 6 |
18642608045 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei'] #解决中文乱码
plt.figure(figsize=(6,9)) #调节图形大小
labels = ['XL','L','M','S'] #定义标签
sizes = [461,253,789,660] #每块值
colors = ['red','yellowgreen','cyan','yellow'] #每块颜色定义
explode = (0,0,0,0.1) #将某一块分割出来，值越大分割出的间隙越... | RiddMa/ScrapyTest | Visualization2/LXY/hw/b.py | b.py | py | 879 | python | en | code | 0 | github-code | 6 |
2361991036 | from googleapiclient.discovery import build
import os
import pickle
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from googleapiclient.discovery import build
from datetime import date
# To use application:
# - must add email address for testing in Google ... | KentV12/playlistSaver | main.py | main.py | py | 3,487 | python | en | code | 0 | github-code | 6 |
551185141 | import numpy as np
import pandas as pd
from datetime import datetime
import matplotlib.pyplot as plt
def convtime(year,doy,hour,min):
d = datetime.strptime(str(doy),'%j')
month = d.month
day = d.day
dt = datetime(int(year),int(month),int(day),int(hour),int(min))
return dt
df = pd.read_csv('./Ou... | Urban-Meteorology-Reading/SUEWS | Test/BaseRun/2018a/test.py | test.py | py | 1,072 | python | en | code | 6 | github-code | 6 |
38453486962 | from itertools import combinations
from collections import deque
n = int(input())
ppl = list(map(int,input().split()))
totalPpl = sum(ppl)
graph = [[] for _ in range(n+1)]
for i in range(n):
graph[i+1] = list(map(int,input().split()))[1:]
def bfs(L):
picked = [0]*(n+1)
for i in L:
picked[i] = 1
... | LightPotato99/baekjoon | math/combination/gerymander.py | gerymander.py | py | 1,036 | python | en | code | 0 | github-code | 6 |
34861920007 | from dataclasses import dataclass
from typing import Optional
import django_tables2 as tables
from django.conf import settings
from django.contrib.auth.models import AnonymousUser
from django.db.models import DateField, DateTimeField
from django.template import Context, Template
from django.urls import reverse
from dj... | Status-Page/Status-Page | statuspage/statuspage/tables/columns.py | columns.py | py | 13,718 | python | en | code | 45 | github-code | 6 |
5694311921 | import torch
import torch.nn as nn
from Model2.BottomUp import Encoder
from Model2.TopDown import Decoder
import torchsummary
class FeaturePyramidNetwork(nn.Module):
def __init__(self, n_classes=2):
super(FeaturePyramidNetwork, self).__init__()
self.encoder = Encoder()
sel... | dmdm2002/FPN | Model/FPN.py | FPN.py | py | 995 | python | en | code | 2 | github-code | 6 |
18023144134 | import subprocess
import os
def collect_logs(start_time, end_time):
# 'log show' 명령어를 사용하여 로그 수집
command = [
'log', 'show',
'--start', start_time,
'--end', end_time
]
result = subprocess.run(command, capture_output=True, text=True)
if result.returncode == 0:
... | KIMJOONSIG/Reboot3 | Mac/Eventlog.py | Eventlog.py | py | 1,232 | python | en | code | 0 | github-code | 6 |
6518786122 | #!/usr/bin/env python
import datetime
from elasticsearch import Elasticsearch
from jobs.lib import Configuration
from jobs.lib import Send_Alert
local_config = {
"minutes": 30,
"index": ["workstations-*", "servers-*"],
"max_results": 1000,
"severity": "medium"
}
# Query goes here
search_query = {
"... | 0xbcf/elasticsearch_siem | jobs/PowershellFileWrite.py | PowershellFileWrite.py | py | 1,669 | python | en | code | 0 | github-code | 6 |
9293795541 | # Definition for a binary tree node
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
# @param root, a tree node
# @return a list of integers
def preorderTraversal(self, root):
if not root:
retur... | rioshen/Problems | leetcode/python/binary_tree_preorder_traversal.py | binary_tree_preorder_traversal.py | py | 865 | python | en | code | 1 | github-code | 6 |
9434899492 | """
在这里添加各种自定义的断言，断言失败抛出AssertionError就OK。
在assertion.py中你可以添加更多更丰富的断言，响应断言、日志断言、数据库断言等等，请自行封装。
"""
def assertHTTPCode(response, code_list=None):
res_code = response.status_code
if not code_list:
code_list = [200]
if res_code not in code_list:
raise AssertionError('响应code不在列表中！'... | XiaoDjan/Test_framework | Test_framework/utils/assertion.py | assertion.py | py | 543 | python | zh | code | 1 | github-code | 6 |
71233413949 | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 1 11:14:40 2019
@author: AndrewW
"""
# A block cipher transforms a fixed-sized block (usually 8 or 16 bytes) of
# plaintext into ciphertext. But we almost never want to transform a single
# block; we encrypt irregularly-sized messages.
# One way we account... | drewadwade/CTFs | Matasano Crypto Challenge/Set 2/Implement PKCS#7 padding.py | Implement PKCS#7 padding.py | py | 1,173 | python | en | code | 1 | github-code | 6 |
8910492018 | import pytest, subprocess, os
from pathlib import Path
COMMAND = ['python', 'framextract', 'tests/FT.mp4']
def capture(command):
proc = subprocess.run(command, capture_output=True)
return proc.stdout, proc.stderr, proc.returncode
def test_framextract_no_param():
_, err, exitcode = capture(COMMAND[:-1])
... | FirmaTechnologies/framextract | tests/test_cli.py | test_cli.py | py | 1,699 | python | en | code | 1 | github-code | 6 |
6323481356 |
from typing import *
import asyncio
import logging
from datetime import datetime, timedelta, time, date
import traceback
import lightbulb
from lightbulb.commands.base import OptionModifier as OM
import hikari
import apscheduler
from apscheduler.triggers.interval import IntervalTrigger
from humanize import naturaldelt... | zp33dy/inu | inu/ext/tasks/anime_corner.py | anime_corner.py | py | 2,507 | python | en | code | 1 | github-code | 6 |
41932079330 | import numpy as np
from scipy import misc
import pandas as pd
import os
# 1) Examen
## 2) Crear un vector de ceros de tamaño 10
vector_zeros_2 = np.zeros(10)
print('2) --> ', vector_zeros_2)
## 3) Crear un vector de ceros de tamaño 10 y el de la posicion 5 sea igual a 1
vector_zeros_3 = np.zeros(10)
vector_zeros_3... | 2020-A-JS-GR1/py-velasquez-revelo-jefferson-david | examen/examen.py | examen.py | py | 5,945 | python | es | code | 0 | github-code | 6 |
70056771389 | # week 8, binary search
# today's plan
# 1: binary_search
# 2: ex 6 (solution)
# 3: quiz 3 (solution)
def binary_search(L, s):
'''(list of int, int) -> bool
Return True iff s is an element of L, otherwise False
REQ: L must be sorted in increasing order
>>> binary_search([-5, 3, 4, 5, 7], 4)
... | BoZhaoUT/Teaching | Winter_2016_CSCA48_Intro_to_Computer_Science_II/Week_8_Binary_Search/week_8.py | week_8.py | py | 6,132 | python | en | code | 2 | github-code | 6 |
20233659704 | # Importamos las dependencias del cálculo de las similitudes
from metric.PearsonCorrelation import PearsonCorrelation
from metric.CosineDistance import CosineDistance
from metric.EuclideanDistance import EuclideanDistance
# Importamos las dependencias del cálculo de la predicción
from prediction.SimplePrediction imp... | facu2002/RecommenderSystem | src/main.py | main.py | py | 4,738 | python | en | code | 0 | github-code | 6 |
36684709665 | import pickle
import numpy as np
import os
with open('data/sst2-sentence/neg_db', 'rb') as f:
negation_database = pickle.load(f)
class Dataset(object):
def __init__(self, dir, filename, rev_vocab):
self.dir = dir
self.filename = filename
self.rev_vocab = rev_vocab
with open(... | martiansideofthemoon/logic-rules-sentiment | code/analysis/data-stats.py | data-stats.py | py | 2,928 | python | en | code | 32 | github-code | 6 |
73993683069 | from django.urls import path
from django.contrib.auth.decorators import login_required
from . import views
urlpatterns = [
path('all_lessons/', views.AllLessonsView.as_view(),
name='all_lessons'),
path('video_player/<int:id>', views.VideoPlayer.as_view(),
name='video_player'),
path('subsc... | johnrearden/strings_attached | video_lessons/urls.py | urls.py | py | 720 | python | en | code | 0 | github-code | 6 |
15767420313 | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.metrics import accuracy_score, classification_report, confusion_matrix
# Завантаження даних
data = pd.read_csv("data_multivar_nb.txt", header=None, names=["Feature1", "Feature2", "Class"... | IvanPaliy/A.I.-Lab-1-IPZ-Palii | LR_1_task_6.py | LR_1_task_6.py | py | 946 | python | en | code | 0 | github-code | 6 |
17365595109 | import tkinter as tk
from tkinter import messagebox
def print_board(board):
for row in board:
print(" | ".join(row))
print("-" * 9)
def check_winner(board, player):
for row in board:
if all(cell == player for cell in row):
return True
for col in range(3):
if al... | lag25/SmartTTT-MinMax-Bot | tic_tac_toe_gui.py | tic_tac_toe_gui.py | py | 4,097 | python | en | code | 0 | github-code | 6 |
36703125478 | from django.shortcuts import get_object_or_404
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework import status
from .models import Client, Mailing, Message
from .serializers import MailingSerializer, ClientSerializer, MailingMessagesSerializer
from .service... | novelsk/notification_service | app/service/views.py | views.py | py | 4,985 | python | en | code | 0 | github-code | 6 |
2636855121 | from codigo import Email, borrar, limpiar_inbox
def test_los_atributos_se_guardan_correctamente():
m = Email("espada nueva!", "hay una espada nueva")
assert m.asunto == "espada nueva!"
assert m.texto == "hay una espada nueva"
def test_mail_sano_no_genera_valor_de_spam():
m = Email("espada nueva!", ... | ucseiw-team/catedra | ejemplo_testing_2022/test_codigo.py | test_codigo.py | py | 1,891 | python | es | code | 5 | github-code | 6 |
28074571183 | import string
''' This program takes a text file and gives the total
length of the character in the file along with the frequency
of each alphabet and as well as most and least common 10 alphabets'''
"""Character frequency"""
'''Total number of characters'''
def character_analysis(filename):
hist = {}
file =... | asifbux/Python-Course-ENSF-592 | A03_1_char_frequency.py | A03_1_char_frequency.py | py | 1,829 | python | en | code | 0 | github-code | 6 |
4461100140 | # Licensed under a MIT style license - see LICENSE.txt
"""MUSE-PHANGS plotting routines
"""
__authors__ = "Eric Emsellem"
__copyright__ = "(c) 2017, ESO + CRAL"
__license__ = "MIT License"
__contact__ = " <eric.emsellem@eso.org>"
# This module provides some functions to plot and check the data reduction
#
# Er... | emsellem/pymusepipe | src/pymusepipe/graph_pipe.py | graph_pipe.py | py | 10,892 | python | en | code | 7 | github-code | 6 |
70322602108 | from src.admin.repository import AdminRepo
from src.admin.schemas import AdminUserData
from src.user.constants import SubscriptionType
class AdminService:
def __init__(self, admin_repo: AdminRepo):
self.admin_repo = admin_repo
async def get_users(
self,
subscription_type: Subscription... | ttq186/DressUp | src/admin/service.py | service.py | py | 716 | python | en | code | 0 | github-code | 6 |
17216033842 | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name='wutools',
version='0.0.3',
author='Jason Yunger',
author_email='jason.yunger@gmail.com',
description='Testing installation of Package',
long_description=long_descript... | jyunger/wutest | setup.py | setup.py | py | 679 | python | en | code | 0 | github-code | 6 |
40128878134 | #!/usr/bin/env python3
import sys
sys.setrecursionlimit(10**6)
INF = 10 ** 9 + 1 # sys.maxsize # float("inf")
MOD = 10 ** 9 + 7
def debug(*x):
print(*x, file=sys.stderr)
def solve(SOLVE_PARAMS):
pass
def main():
N, M = map(int, input().split())
is_head = [True] * N
from collections import def... | nishio/atcoder | abc177/d2.py | d2.py | py | 1,871 | python | en | code | 1 | github-code | 6 |
19054038098 | import sys
import time
import os
import tempfile
import shutil
import contextlib
import numpy as np
import h5py
from . import __version__ as tool_version
import stag.align as align
def load_genome_DB(database, tool_version, verbose):
dirpath = tempfile.mkdtemp()
shutil.unpack_archive(database, dirpath, "gzt... | zellerlab/stag | stag/databases.py | databases.py | py | 8,159 | python | en | code | 7 | github-code | 6 |
73510567227 | class Solution:
def largestLocal(self, grid: List[List[int]]) -> List[List[int]]:
ans = []
row = len(grid)
col = len(grid[0])
for i in range(row-2):
temp = []
for j in range(col-2):
maxi = 0
for k in range(i,i+3):
... | yonaSisay/a2sv-competitive-programming | 2373-largest-local-values-in-a-matrix/2373-largest-local-values-in-a-matrix.py | 2373-largest-local-values-in-a-matrix.py | py | 721 | python | en | code | 0 | github-code | 6 |
11250679083 | #%%
import numpy as np
import os
from sklearn.feature_extraction.text import CountVectorizer
from scipy.sparse import csr_matrix
from scipy.sparse import coo_matrix
import numba as nb
import time
import cupy as cp
#%% 讀取檔案
queriesPath ='C:\\Users\\User\\Desktop\\NTUST\\IR\\data\\ntust-ir-2020_hw4_v2\\queries'
docsPath... | ericdddddd/NTUST_Information-Retrieval | Hw4/Hw4-sparse_matrix.py | Hw4-sparse_matrix.py | py | 5,824 | python | en | code | 0 | github-code | 6 |
25009122511 | from osv import fields,osv
from osv import orm
import pooler
def test_prof(self, cr, uid, prof_id, pid, answers_ids):
#return True if the partner pid fetch the profile rule prof_id
ids_to_check = pooler.get_pool(cr.dbname).get('segmentation.profile').get_parents(cr, uid, [prof_id])
[yes_answers, no_answers] =... | factorlibre/openerp-extra-6.1 | segmentation/segmentation.py | segmentation.py | py | 5,561 | python | en | code | 9 | github-code | 6 |
33833694339 | from db.dbconnect import connection
from flask import jsonify
def querydb(data, operation, check=None, user2flower_id=None):
try:
c, conn = connection()
if c == {'msg': 'Circuit breaker is open, reconnection in porgress'}:
return c, 500
if operation == 'POST':
exec... | markocrnic/user2flower | app/db/dbquery.py | dbquery.py | py | 2,656 | python | en | code | 0 | github-code | 6 |
15159066053 | import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
#https://www.tensorflow.org/versions/r1.12/api_docs/python/tf/ones
a= tf.ones((4,3))
b = tf.ones((2,3))
with tf.Session():
result = a.eval()
rb = b.eval()
tf.assert_negative (a)
print(result,rb )
| sofiathefirst/AIcode | 04TensorflowAPI/ones.py | ones.py | py | 281 | python | en | code | 0 | github-code | 6 |
31331765759 | import torch
from game import DataGenArena
from torch.autograd import Variable
from torch.utils.data import DataLoader
import os
# criterion = torch.nn.SmoothL1Loss()
# optimizer = torch.optim.SGD(model.parameters(), lr=0.001)
class AITrainer:
# TODO: concurrent usage of self.model and player.network makes me n... | messej/dots_and_boxes | game/ai_trainer.py | ai_trainer.py | py | 3,391 | python | en | code | null | github-code | 6 |
74212739388 |
import sqlite3
def create_table():
sqlstr = "create table user (sid int(5) primary key, \
name varchar(10), email varchar(25))"
conn.execute(sqlstr)
print("create table successfully")
conn.close()
def initiate_table():
cur = conn.cursor()
sqlstr1 = ... | lhqiao/python_project | kaohexinagmu/main.py | main.py | py | 2,235 | python | en | code | 0 | github-code | 6 |
7874968494 | """
Yonan Abraha
Lab 5
"""
def main():
#encodedWord = "WBLARF8TTS"
#encodedWord = "L8KAOUL"
#encodedWord = "E8N8N8"
#encodedWord = "8TRA8DY T8LA"
#encodedWord = "8TT LHA TILLTA LIMAS"
#encodedWord = "LHA GRAAN FIATD GTA8MS IN LHA W8RM SUNEABMS"
encodedWord = "TONG T8E T8CKS L8SLY L8CO LIMA 8L TA8SL T8LATY... | yonanma/CIS121 | lab_5.py | lab_5.py | py | 1,361 | python | en | code | 0 | github-code | 6 |
15207383827 | """
https://www.algoexpert.io/questions/common-characters
"""
def commonCharacters(strings):
# Write your code here.
result = []
first = strings.pop(0)
size = len(strings)
for char in first:
count = 0
for arr in strings:
if char not in arr:
... | koizo/algoexpert | strings/common_characters.py | common_characters.py | py | 478 | python | en | code | 0 | github-code | 6 |
29482823780 | import raw_read
import subprocess as sp
from matplotlib import pyplot
import numpy as np
from files import *
from sklearn.metrics import mean_squared_error
[arrs1,plots]=raw_read.rawread('output/rawfile.raw')
# time
stime = arrs1[0]
res_out = arrs1[1:-1]
x=res_out.T
temp = np.linalg.pinv(x)
vref=np.load("... | embeddedsky/ExplainableMRC | Plot_file.py | Plot_file.py | py | 1,665 | python | en | code | 0 | github-code | 6 |
29800628522 | from django.urls import path
from cart.views import cart_add, cart_remove, cart_details, cart_clear, cart_update
urlpatterns = [
path('cart_details/', cart_details, name='cart_details'),
path('cart_add/', cart_add, name='cart_add'),
path('cart_update/', cart_update, name='cart_update'),
path('cart_rem... | Aliaksei-Hrazhynski/DP | cart/urls.py | urls.py | py | 420 | python | en | code | 0 | github-code | 6 |
10424789791 | #-*- coding: utf-8 -*-
u"""
.. moduleauthor:: Martí Congost <marti.congost@whads.com>
"""
import cherrypy
from cocktail.pkgutils import resolve
from woost.controllers.basecmscontroller import BaseCMSController
from woost.extensions.payments.paymentgateway import PaymentGateway
class PaymentRootController(BaseCMSCont... | marticongost/woost | woost/extensions/payments/paymentrootcontroller.py | paymentrootcontroller.py | py | 1,224 | python | en | code | 0 | github-code | 6 |
30063385074 |
import veri
import logs
class uartClass(logs.driverClass):
def __init__(self,Path,Monitors,rxd='rxd',txd='txd'):
logs.driverClass.__init__(self,Path,Monitors)
self.rxd = rxd
self.txd = txd
self.baudRate = 100*32
self.txQueue = []
self.txWaiting=0
self.rxSt... | greenblat/vlsistuff | verification_libs3/uartClass.py | uartClass.py | py | 5,084 | python | en | code | 41 | github-code | 6 |
19109871856 | #!/usr/bin/env python3
#
# graph timing from timing file
import sys
import pylab
import numpy
import matplotlib.pyplot as plot
from argparse import ArgumentParser
from collections import defaultdict
time_xlabel="Time in seconds"
bytes_ylabel="GB processed"
def parse_pair(line):
h = line[11:13]
m = line[14:16... | NPS-DEEP/big_data_test | be_cluster/doc/plot_dots.py | plot_dots.py | py | 1,844 | python | en | code | 1 | github-code | 6 |
15191375755 | from collections import defaultdict, deque
class Solution:
def isBipartite(self, graph: List[List[int]]) -> bool:
color = defaultdict(int)
seen = set()
q = deque()
for node1 in range(len(graph)):
if node1 in seen:
continue
color[node1] = 1
... | Dumbris/leetcode | medium/785.is-graph-bipartite.py | 785.is-graph-bipartite.py | py | 1,085 | python | en | code | 0 | github-code | 6 |
2706181917 | import rhino_unwrapper.meshUtils.meshLoad as meshLoad
import rhino_unwrapper.meshUtils.mesh as mesh
import rhino_unwrapper.cutSelection.userCuts as userCuts
import rhino_unwrapper.cutSelection.autoCuts as autoCuts
import rhino_unwrapper.weight_functions as weight_functions
import rhino_unwrapper.unfold as unfold
import... | jlopezbi/rhinoUnfolder | prototype_cutAndUnfold.py | prototype_cutAndUnfold.py | py | 1,170 | python | en | code | 8 | github-code | 6 |
41675036380 | # 스도쿠
#
# 스도쿠를 돌면서 빈자리(-1)를 탐색한다
# 빈자리에 1~9 를 넣어보고 가능하다면 재귀함수를 호출한다.
# 만약 가능한 케이스가 발견되면 즉시 함수를 종료한다.
# 열쇠 -> test 함수에서 순회할 때 빈자리에 뭐가 들어갈 수 있는지 업데이트해서 재검사를 방지한다.
from copy import deepcopy
# row,col에 새로운 값이 들어왔을 때, 가능한지 검사하는 함수
def test(s: list[list[int]], row: int, col: int) -> bool:
# row 검사
cnt = 0
num... | jisupark123/Python-Coding-Test | DFS/2580.py | 2580.py | py | 4,495 | python | ko | code | 1 | github-code | 6 |
17763725801 | #1)list using Array
import sys
def getListDetails(l):
#size = sys.getsizeof(l)
#capacity = (size of list - size of empty list) // (size of one block)
#size of empty list maens total number of bits for empty list
capacity = (sys.getsizeof(l)-64)//8
left_size = ((sys.getsizeof(l)-64)-len(l)*8)//8
... | aparna0/competitive-programs | 7Algo and Datastructures/1linear DS/3.linklinst.py | 3.linklinst.py | py | 7,108 | python | en | code | 0 | github-code | 6 |
39023255902 | import pandas as pd
from objects_API.StrainJ import StrainJson
from objects_API.BacteriumJ import BacteriumJson
from objects_API.BacteriophageJ import BacteriophageJson
from objects_API.CoupleJ import CoupleJson
from configuration.configuration_api import ConfigurationAPI
from rest_client.AuthenticationRest import A... | diogo1790/inphinity | CorrectLevelLysis.py | CorrectLevelLysis.py | py | 5,366 | python | en | code | 0 | github-code | 6 |
40920994409 | from datetime import datetime
from models.library_item import LibraryItem
from models.rent import Rent
from models.user import User
from services.handlers.rent_handlers.apply_discount_handler import ApplyDiscountHandler
from services.handlers.rent_handlers.calculate_fine_price_handler import (
CalculateFinePriceHa... | Ari100telll/LibrarySDD | services/library_manager/library_manager.py | library_manager.py | py | 3,424 | python | en | code | 0 | github-code | 6 |
70941800508 | # a simple client socket
import socket
# define socket address
TCP_IP = 'pip install request' # ip of the server we want to connect to
TCP_PORT = 5000 # port used for communicating with the server
# create socket
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
print ("Socket created successfully.")
... | DiegoPython/CS50-NASA-Vending-Machine | Python/testsocket.py | testsocket.py | py | 554 | python | en | code | 1 | github-code | 6 |
29848209236 | import pygame
from random import randint
class Enemy(pygame.sprite.Sprite):
def __init__(self, x, y, level):
super().__init__()
self.image_list = []
self.level = level
self.frame = 0
for index in range(10):
image_name = 'Pic\\Enemy' + str(level) + '\\... | Karnpitcha-kasemsirinavin/The_Lost_Duck | Enemy.py | Enemy.py | py | 2,176 | python | en | code | 0 | github-code | 6 |
24698018564 | import numpy as np
import torch
from torch.utils.data import Dataset
import constants as C
def _get_existing_group(gb, i):
try: group_df = gb.get_group(i)
except KeyError: group_df = None
return group_df
def get_dist_matrix(struct_df):
locs = struct_df[['x','y','z']].values
n_atoms = len(locs)
... | robinniesert/kaggle-champs | moldataset.py | moldataset.py | py | 7,217 | python | en | code | 48 | github-code | 6 |
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