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
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37700794816 | # -*- coding: utf-8 -*-
from socket import socket, AF_INET, SOCK_DGRAM
from threading import Timer
import os
import sys
import subprocess
import re
bl_power_file = "/sys/class/backlight/rpi_backlight/bl_power"
def singleton(cls):
# https://stackoverflow.com/questions/31875/is-there-a-simple-elegant-way-to-defi... | ThomasHangstoerfer/pyHomeCtrl | utils.py | utils.py | py | 4,427 | python | en | code | 0 | github-code | 36 |
27048685248 | import pygame
class Berry(pygame.sprite.Sprite):
def __init__(self, x, y):
width = height = 16
red = (255, 0, 0)
self.image = pygame.Surface((width, height))
self.image.fill(red)
self.rect = self.image.get_rect()
self.rect.x = x
self.rect.y = y
def IsEat... | JoeZlonicky/Snake | Source/Berry.py | Berry.py | py | 478 | python | en | code | 0 | github-code | 36 |
34755072497 | def solution(k, tangerine):
# 빈도수 딕셔너리 만들기
dic = dict()
for i in tangerine:
dic[i] = dic.get(i,0) + 1
# 내림차순 정렬
arr = sorted(dic.items(), key = lambda x : x[1], reverse = True)
# 종류 count
ans=1
for i in arr:
k-=i[1]
if k > 0:
ans+=1
return ans | dwkim8155/Algorithm | Algorithm/Implementation/[programmers] level2 귤 고르기.py | [programmers] level2 귤 고르기.py | py | 355 | python | ko | code | 1 | github-code | 36 |
1412535950 | from smartiot import app
from smartiot.bin.config.db_config import mysql
from flask import Flask,render_template,flash,redirect,session,url_for,logging,request,Blueprint,json,session
from flask_json import FlaskJSON, JsonError, json_response, as_json
email =""
permission =""
def getPermissions(fUserId,fEn... | Singh-Kiran-P/smart-iot-python-api | smartiot/routes/route_Permissions/userPermissions.py | userPermissions.py | py | 1,319 | python | en | code | 0 | github-code | 36 |
5420673678 | # How to get the visual length of a text string in python
# https://stackoverflow.com/questions/32555015/how-to-get-the-visual-length-of-a-text-string-in-python
import ctypes
import cairo
class SIZE(ctypes.Structure):
_fields_ = [("cx", ctypes.c_long), ("cy", ctypes.c_long)]
hdc = ctypes.windll.user32.GetDC(0)
... | Hansimov/tikzpy | src/z_test_text_extents.py | z_test_text_extents.py | py | 1,582 | python | en | code | 4 | github-code | 36 |
2723106803 | def mergeSort(nums):
if len(nums) == 1:
return nums
mid = len(nums) >> 2
L_num = nums[:mid]
R_num = nums[mid:]
return merge(mergeSort(L_num), mergeSort(R_num))
def merge(left, right):
res = []
while len(left) > 0 and len(right) > 0:
if left[0] > right[0]:
res.a... | ZhengLiangliang1996/Leetcode_ML_Daily | sort/mergetsort.py | mergetsort.py | py | 607 | python | en | code | 1 | github-code | 36 |
43807404173 | """
-*- coding: utf-8 -*-
@Software: PyCharm
@Site:
@File: rrt.py
@Author: HBlank
@E-mail: hehaowei@126.com
@Time: 4月 03, 2020
@Des：实现rrt
"""
from src.rrt_base import RRTBase
class RRT(RRTBase):
def __init__(self, X, Q, x_init, x_goal, max_samples, r, prc):
super().__init__(X, Q, x_init, x_goal, max_sa... | WUSTBlank/rrt-test | src/rrt.py | rrt.py | py | 874 | python | en | code | 0 | github-code | 36 |
6435161442 | def flip(num):
tostring = str(num)
if "3" in tostring or "4" in tostring or "7" in tostring:
return num
flippednum = tostring[::-1]
if "6" in flippednum:
return int(flippednum.replace("6","9"))
elif "9" in flippednum:
return int(flippednum.replace("9","6"))
else:
... | DongjiY/Kattis | src/addemup.py | addemup.py | py | 993 | python | en | code | 1 | github-code | 36 |
1702730464 | # %%
from itertools import combinations
import spacy
# Load spaCy's pre-trained word embedding model
nlp = spacy.load("en_core_web_sm")
# Input text containing words for similarity comparison
text = (
"funny comedy music laugh humor song songs jokes musical hilarious"
)
# Process the input text wit... | NewDonkCity/Portfolio | word_embedding.py | word_embedding.py | py | 1,598 | python | en | code | 0 | github-code | 36 |
18284253607 | # 用xpath爬取糗事百科里面段子的详情，存储为json格式
# https://www.qiushibaike.com/8hr/page/1/
# 每个段子 //div[contains(@id,"qiushi_tag_")]
# 用户名 ./div/a/h2
# 图片链接 ./div/a/img[@class="illustration"]/@src
# 段子内容 ./a/div[@class="content"]/span
# 点赞数 ./div/span/i[@class="number"]
# 评论数 ./div/span/a/i[@class="number"]
import requests
from lxml... | longyincug/crawler | 12_xpath_json_demo.py | 12_xpath_json_demo.py | py | 2,016 | python | en | code | 0 | github-code | 36 |
14147663072 | import inspect
from pathlib import Path
import torch
import yaml
from comfy import model_detection, model_management
from comfy.sd import CLIP, VAE, load_model_weights
from comfy.model_patcher import ModelPatcher
from comfy.utils import calculate_parameters
from folder_paths import models_dir as comfy_models_path
from... | s1dlx/comfy_meh | meh.py | meh.py | py | 7,524 | python | en | code | 13 | github-code | 36 |
10665105745 | import datetime
from flask.ext.jwt import current_identity, jwt_required
from flask_restplus import Namespace, Resource, fields, reqparse
from packr.models import Order, Role, User
api = Namespace('lookup',
description='Operations related to looking up an order')
lookup = api.model('Lookup', {
'... | ZeroEcks/packr | packr/api/lookup.py | lookup.py | py | 4,547 | python | en | code | 0 | github-code | 36 |
4393524173 | # 만들 수 없는 금액
# n = int(input())
# data = list(map(int, input().split()))
# data.sort()
# result = set()
# sum = 0
# for i in range(len(data)):
# result.add(data[i])
# sum += data[i]
# result.add(sum)
# sum2 = 0
# for j in range(i + 1, len(data)):
# result.add(data[i] + data[j])
# ... | sjjam/Algorithm-Python | Book/Greedy/Q4.py | Q4.py | py | 701 | python | en | code | 0 | github-code | 36 |
13621561097 | import tkinter as tk
from tkinter import ttk,messagebox
from tkinter.filedialog import askopenfilename
import receta
class buscarReceta(ttk.Frame):
def __init__(self, parent):
super().__init__(parent)
parent.title("Buscar una Receta")
parent.iconbitmap('img\chef.ico')
#parent.geome... | Loboxos/proyectoRecetasUpateco | busqueda.py | busqueda.py | py | 4,532 | python | es | code | 0 | github-code | 36 |
4802363819 | def add_numbers(num1,num2):
sum=num1+num2
print(sum)
add_numbers(5,9)
# function return type
def square_numbers(num):
result=num*num
return result
print(square_numbers(3))
# square root
# def squareroot():
# import math
# square_root=math.sqrt(4)
# print(square_root())
# squareroot()
# calculate the ... | Angeth-Herjok/Revision-python | ass.py | ass.py | py | 1,484 | python | en | code | 0 | github-code | 36 |
26478265364 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0004_auto_20150623_1841'),
]
operations = [
migrations.AlterField(
model_name='element',
name... | protocolbuilder/sana.protocol_builder | src-django/api/migrations/0005_auto_20150703_2228.py | 0005_auto_20150703_2228.py | py | 608 | python | en | code | 0 | github-code | 36 |
4511367599 | import openpyxl
import pandas
from collections import Counter
from difflib import SequenceMatcher
from collections import OrderedDict
import time
import numpy
import igraph
import sys
pathTest = "E:\\Pham Thanh Quyet - 23.12.2022\\DSKH 22.12.23\\VRS VRH\\Book1.XLSX"
path = "E:\\Pham Thanh Quyet - 23.12.2022\\DSKH 22.... | ChinhTheHugger/vscode_python | excel_graph_test.py | excel_graph_test.py | py | 2,397 | python | en | code | 0 | github-code | 36 |
43281589774 | #!/usr/bin/env python
from sys import argv
import boto3
import logging
logging.basicConfig(level=logging.INFO)
session = boto3.Session()
sqs = session.client('sqs')
sts = session.client('sts')
def queue_transfer(from_queue, to_queue):
logging.info(f"Transfer from {from_queue} to {to_queue}")
from_queue_url ... | bhoven/sqs-util | sqs_util.py | sqs_util.py | py | 2,405 | python | en | code | 0 | github-code | 36 |
43102936048 | from collections import namedtuple
from playment.utilities import Decodable
class JobResult(Decodable):
def __init__(self, job_id: str = None, batch_id: str = None, project_id: str = None, reference_id: str = None,
status: str = None, tag: str = None, priority_weight: int = None, result: str = No... | crowdflux/playment-sdk-python | playment/jobs/job_result.py | job_result.py | py | 703 | python | en | code | 0 | github-code | 36 |
44101908061 | from flask import Flask, request, send_from_directory
from PIL import Image
import pathlib
import os
import urllib
S3_BUCKET_URL = "https://s3-us-west-2.amazonaws.com/makersdistillery/"
IMAGES_PATH = pathlib.Path("images")
app = Flask(__name__)
@app.route("/images/<path:image_path>")
def images(image_path):
file... | akb/image-resize-service | image-resize.py | image-resize.py | py | 2,004 | python | en | code | 0 | github-code | 36 |
23540887587 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Language Detector is a RESTful web service for detecting the language of
arbitrary text.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import os... | NLPKit/LanguagePredictor | language_predictor.py | language_predictor.py | py | 2,386 | python | en | code | 2 | github-code | 36 |
26010207985 | import argparse
import os
import re
import subprocess
import sys
import test_common
parser = argparse.ArgumentParser()
parser.add_argument("files", nargs="*")
args = parser.parse_args()
here = os.path.dirname(os.path.realpath(__file__))
codes = {}
for s in open(os.path.join(here, "..", "src", "etc.h")).readlines():... | russellw/ayane | test/test.py | test.py | py | 1,339 | python | en | code | 0 | github-code | 36 |
3269636790 | #
#
#
import time
from .external import getid
from .types import MissingParamException
from .utils import StopException, TaskRunner
def genarid() -> str:
return getid()
def makearfsfromdisk(disk: str) -> int:
runner = TaskRunner()
try:
runner.setvalue("disk", disk)
for step in (
... | toppk/saveme | lib/saveme/block.py | block.py | py | 1,345 | python | en | code | 2 | github-code | 36 |
20583496296 | import cv2
import numpy as np
#COLOR PICKER RANGE
green = np.uint8([[[40, 40, 255]]]) #here insert the bgr values which you want to convert to hsv
hsvGreen = cv2.cvtColor(green, cv2.COLOR_BGR2HSV)
print(hsvGreen)
lowerLimit = hsvGreen[0][0][0] - 10, 150, 150
upperLimit = hsvGreen[0][0][0] + 10, 255, 255
print(upperL... | Altair115/OpenCV2-Workshop | Opdrachten/Op3.py | Op3.py | py | 1,498 | python | en | code | 0 | github-code | 36 |
9626703877 | import json
import re
import os
import time
import logging
from collections import namedtuple
from paddle.fluid import core
import paddle.fluid as fluid
import numpy as np
Doc = namedtuple("Document", ("id", "title", "content"))
SegDoc = namedtuple("Seg_Document",("id", "title", "content", "seg_content"))
def read_o... | hanguantianxia/model | utils.py | utils.py | py | 8,186 | python | en | code | 0 | github-code | 36 |
39930433596 | import math
def readQueries():
n = int(input("Enter n:"))
x = [float(i) for i in input("Enter x as space seperated integers:").split()]
y = [float(i) for i in input("Enter y as space seperated integers:").split()]
z = [float(i) for i in input("Enter z as space seperated integers:").split()]
q = in... | sociallyencrypted/CSE101 | A2_2021066/A2_2021066_2.py | A2_2021066_2.py | py | 2,768 | python | en | code | 0 | github-code | 36 |
73490872105 | from selenium.webdriver.common.action_chains import ActionChains
from urllib.parse import urljoin
import time
import pytest
@pytest.fixture
def catalog_url(baseurl_option):
return urljoin(baseurl_option, '/index.php?route=product/category&path=20')
def test_login_catalog(catalog_url, browser):
browser.get(c... | astretcova/Otus-lessons | hw_8/catalog_test.py | catalog_test.py | py | 1,503 | python | en | code | 0 | github-code | 36 |
27187725961 | # -*- coding : utf-8 -*-
### IMPORTATION PYTHON
# General management
import os
import sys
# Data analysis ans wrangling
import numpy as np
import math
import pandas as pd
import random as random
# Data visualization
import seaborn as sns
import matplotlib.pyplot as plt
# --- load data
path = os.path.dirname(os.path.... | fkimmig/Titanic | baseline_solution_fk.py | baseline_solution_fk.py | py | 3,215 | python | en | code | 0 | github-code | 36 |
42319613433 |
def aVeryBigSum(ar):
bsum=0
for i in range(0,len(ar)):
bsum= bsum + ar[i]
return bsum
# Write your code here
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
ar_count = int(input().strip())
ar = list(map(int, input().rstrip().split()))
result = aV... | VedantShahi/Assignment-3.1 | A Very Big Sum.py | A Very Big Sum.py | py | 389 | python | en | code | 1 | github-code | 36 |
8674468084 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2022/10/25 15:03
# @Author : Hanchiao
# @File : antColony.py
import numpy as np
from enum import Enum
from itertools import count
import statistics
import matplotlib.pyplot as plt
import sys
import time
def _custom_create(custom_generate, pool):
ini... | Timber-Ye/intl-opt | AntColony/knapsack-problem/antColony.py | antColony.py | py | 8,503 | python | en | code | 0 | github-code | 36 |
37938305677 | import tkinter as tk
from tkinter import ttk
class New_Punkt(tk.Toplevel):
def __init__ (self, main):
self.main = main
super().__init__ (self.main)
self.Punkts = self.main.Punkts
self.bind('<Escape>', lambda e: self.destroy())
self.init_new_punkt()
def on_entry_click(... | SpIIIII/ProTech | windows/New_punkt.py | New_punkt.py | py | 10,928 | python | en | code | 0 | github-code | 36 |
2594269249 | # This is purely the result of trial and error.
import os
import sys
import codecs
import subprocess
from setuptools import setup
from setuptools import find_packages
import aiowrpr
INSTALL_REQUIRES = [
'aiodns==2.0.0',
'aiohttp[speedups]>=3.7.4',
'aiohttp-apispec==2.1.0',
'apispec==3.2.0',
'asyn... | ishirshov/aiowrpr | setup.py | setup.py | py | 2,821 | python | en | code | 0 | github-code | 36 |
23677049937 | import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
#import matplotlib as plt
import matplotlib.pyplot as plt
from pyFTS.common import Util
from pyFTS.benchmarks import Measures
from pyFTS.partitioners import Grid, Entropy
from pyFTS.models import hofts
from pyFTS.common import Mem... | minhazul-alam/Fuzzy_Systems | FuzzyPracticeCodes/solarfts.py | solarfts.py | py | 1,382 | python | en | code | 1 | github-code | 36 |
1411699424 | import os
from vk import VK
from ya_disk import YaDisk
import json
from datetime import datetime
from tqdm import tqdm
from dotenv import load_dotenv
def main():
vk_user_id = input('Enter VK user ID (only digits): ')
num_photos = int(input('Enter the number of photos to save (default is 5): ') or 5)
load... | kanadass/photo_backup_cw | main.py | main.py | py | 1,466 | python | en | code | 0 | github-code | 36 |
70536824424 | '''
Balanced strings are those that have an equal quantity of 'L' and 'R' characters.
Given a balanced string s, split it into some number of substrings such that:
Each substring is balanced.
Return the maximum number of balanced strings you can obtain.
'''
class Solution(object):
def balancedStringSplit(sel... | ChrisStewart132/LeetCode | 1221. Split a String in Balanced Strings.py | 1221. Split a String in Balanced Strings.py | py | 559 | python | en | code | 0 | github-code | 36 |
955739042 | pkgname = "python-pygments"
pkgver = "2.16.1"
pkgrel = 0
build_style = "python_pep517"
hostmakedepends = [
"python-build",
"python-installer",
"python-flit_core",
"python-wheel",
]
depends = ["python"]
pkgdesc = "Generic syntax highlighter written in Python"
maintainer = "q66 <q66@chimera-linux.org>"
li... | chimera-linux/cports | main/python-pygments/template.py | template.py | py | 615 | python | en | code | 119 | github-code | 36 |
21753084092 | # -*- coding: utf-8 -*-
import os
import tensorflow as tf
from PIL import Image
writer = tf.python_io.TFRecordWriter("train.tfrecords")
images_path = "./snow/"
classes = {'snow'}
for index, name in enumerate(classes):
for img_name in os.listdir(images_path):
img_path = images_path + img_name
im... | crayhuang/TGOTPeopleRecognition | ImageHandler.py | ImageHandler.py | py | 1,094 | python | en | code | 0 | github-code | 36 |
14525183113 | # Implementation of classic arcade game Pong
import simplegui
import random
# initialize globals - pos and vel encode vertical info for paddles
WIDTH = 600
HEIGHT = 400
BALL_RADIUS = 20
PAD_WIDTH = 8
PAD_HEIGHT = 80
HALF_PAD_WIDTH = PAD_WIDTH / 2
HALF_PAD_HEIGHT = PAD_HEIGHT / 2
LEFT = False
RIGHT = True
score... | jovanibrasil/interactive-python | courseraprojects/mini_project_4.py | mini_project_4.py | py | 4,754 | python | en | code | 0 | github-code | 36 |
38985342452 | #########################################################
### Train & Register Insurance Claims Model ###
#########################################################
###################
### Credentials ###
###################
import keyring
import getpass
import runpy
import os
from pathlib import Path
import... | christopher-parrish/sas_viya | python/tweedie_regressor_python/insurance_claims_auto/pure_premium_python_insuranceclaimsauto.py | pure_premium_python_insuranceclaimsauto.py | py | 17,181 | python | en | code | 1 | github-code | 36 |
11991246092 |
'''
3 PARTES:
1 - ENTRAR DATOS
2 - PROCESARLOS
3 - MOSTRAR/SALIDA DATOS
'''
'''
LOS DATOS LOS GUARDO EN VARIABLES (ESPACIOS DE MEMORIA CON NOMBRE)
TIPOS DE DATOS:
DATOS SIMPLES:
numericos (enteros, reales --- int , float, decimal)
alfanumericos (palabras --- str)
logicos (Verdedore o Falso --- bool)
DATOS COMPLEJOS... | Nykolas/INFO2023 | semana1/clase1.py | clase1.py | py | 1,516 | python | es | code | 4 | github-code | 36 |
24556338376 | import hashlib
import json
import os
import argparse
import sys
import hmac
import re
import signal
from multiprocessing import Process
from flask import request
import requests
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.primitives.ciphers.algorithms import AES... | tolojo/bank-SA-22-23 | Phase 1/Client/Client.py | Client.py | py | 12,283 | python | en | code | 0 | github-code | 36 |
37728423811 | from tkinter import *
import pyttsx3
import PIL.ImageOps
from PIL import Image
import numpy as np
from PIL import EpsImagePlugin
import tensorflow as tf
import matplotlib.pyplot as plt
import threading
import random
import time
oldtext = ""
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(... | galbb12/quick-draw-full-python-tkinter | quick draw.py | quick draw.py | py | 10,113 | python | en | code | 1 | github-code | 36 |
25130446182 | import os
import pandas as pd
# hardcoded
data_folders = ['cat',
'car',
'dog',
'lion'
]
data_folders
# array of arrays, containing the list files, grouped by folder
filenames = [os.listdir(f) for f in data_folders]
[print(f[1]) for f in filenames]
[len(f) for f in filenames] | neskwoe/color | image/imagelist.py | imagelist.py | py | 281 | python | en | code | 0 | github-code | 36 |
4352028229 | import sys
import csv
import json
# Converts the JSON output of a PowerBI query to a CSV file
def extract(input_file, output_file):
input_json = read_json(input_file)
data = input_json["results"][0]["result"]["data"]
dm0 = data["dsr"]["DS"][0]["PH"][0]["DM0"]
columns_types = dm0[0]["S"]
columns = ... | ondata/covid19italia | webservices/vaccini/puntiSomministrazione.py | puntiSomministrazione.py | py | 2,598 | python | en | code | 207 | github-code | 36 |
11065813459 | def binary_search(keys, query):
'''Дано 2 массива keys - массив чисел где мы ищем (с дупликатами!!! для них правильный индекс -
первое вхождение в массив); query - массив чисел, по
порядку все из которых мы должны найти в массиве keys и вывести их индексы, если нет, то -1'''
#Failed case # 54/57: time... | Maksim-Rudenko/PycharmProjects | pythonProject/Coursera/Algorithmic Toolbox/week 4/binary_search_duplicates.py | binary_search_duplicates.py | py | 2,326 | python | ru | code | 0 | github-code | 36 |
20028159089 | from boto3 import client
from flask import Flask, jsonify, request, make_response
from .utils import get_timestamp
from .constants import FAVOURITE_COMPANIES_TABLE, FAVOURITE_ORG_ID, ORG_ID
app = Flask(__name__)
app.config["JSONIFY_PRETTYPRINT_REGULAR"] = True
client = client("dynamodb", region_name="eu-west-1")
h... | AndreuJove/serverless_training | app/app.py | app.py | py | 2,942 | python | en | code | 0 | github-code | 36 |
23552489654 | from re import I
import numpy as np
import gym
import random
"""
常に観測値として1を返す環境
環境に対して取るべき行動が周期的に切り替わり、
それに応じて報酬が決定される。
"""
class StaticCyclicEnv0(gym.Env):
def __init__(self, cycle, cycle_cnt_max, action_num, noise):
super().__init__()
self.cycle = cycle
assert self.cycle % action_num == ... | kato-mahiro/periodic_task_experiment | myenvs/myenvs.py | myenvs.py | py | 2,339 | python | en | code | 0 | github-code | 36 |
18659247749 | import numpy as np
import pandas as pd
from sklearn.model_selection import KFold, train_test_split
from sklearn.preprocessing import LabelEncoder,OneHotEncoder
from keras.utils import np_utils
import tensorflow as tf
from MB_nn import MB_nn
from keras.utils.np_utils import to_categorical
from sklearn.metrics import ... | EricXue92/MB_NN | main.py | main.py | py | 5,247 | python | en | code | 0 | github-code | 36 |
41217197786 | # coding=utf-8
__author__ = 'zjutK'
'''循环变量的默认参数比较'''
def make_action():
acts = []
for i in range(5):
acts.append(lambda x, i=i: i ** x) # i=i为了让i的值能够传递给嵌套作用域
return acts
if __name__ == '__main__':
ss = make_action()
print(ss[2](2))
| kzrs55/learnpython | function/make_action.py | make_action.py | py | 318 | python | en | code | 0 | github-code | 36 |
469424801 | #!/usr/bin/env python
from setuptools import setup
VERSION = "0.2"
REPO = "https://github.com/duedil-ltd/python-sloq"
README = "README.rst"
with open(README) as f:
long_description = f.read()
setup(
name="sloq",
version=VERSION,
description="Rate-limited Queue",
author="Paul Scott, Duedil Limited... | duedil-ltd/python-sloq | setup.py | setup.py | py | 617 | python | en | code | 3 | github-code | 36 |
16774999516 | from django_cas_ng import views as cas_views
from django_cas_ng.models import ProxyGrantingTicket, SessionTicket
from django_cas_ng.utils import get_protocol, get_redirect_url, get_cas_client
from django_cas_ng.signals import cas_user_logout
from django.http import JsonResponse, HttpRequest, HttpResponse, HttpResponseR... | ferenica/sipraktikum-backend | authentication/cas_wrapper.py | cas_wrapper.py | py | 3,330 | python | en | code | 0 | github-code | 36 |
15058607422 | # Importing the ChoiceMC class
import sys
import os
try:
from ChoiceMC import ChoiceMC, loadResult
except ModuleNotFoundError:
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir)))
from ChoiceMC import ChoiceMC, loadResult
import matplotlib.pyplot as plt
import time
import num... | AndrewBright34/ChoiceMC | Parametric_Sweeps/ChoiceMC_Sweep_Entanglement.py | ChoiceMC_Sweep_Entanglement.py | py | 6,148 | python | en | code | 0 | github-code | 36 |
15130212540 | # A brief script to convert GIF files to RAW with Vector's screen dimensions. Use GIF files that are 184x96 for best results.
# Expected Python Version is 3.9.
import os,sys
#import struct
import array
from PIL import Image
#import Image
SCREEN_WIDTH,SCREEN_HEIGHT = 184,96 #240,240 #180,240
SIZE = (SCREEN_WIDTH,SCREE... | digital-dream-labs/oskr-owners-manual | examples/change_boot_anim/gif_to_raw.py | gif_to_raw.py | py | 2,400 | python | en | code | 35 | github-code | 36 |
21098832887 | #!/usr/bin/python3
import os
import sys
import argparse
import re
if __name__ == '__main__':
infile_format = ''
cmd_opts = []
id_pat = r''
alt_id_pat = r''
parser = argparse.ArgumentParser(description = """ """)
parser.add_argument('-i', '--infile',
help = f'Speciefies path to input... | jonasfreimuth/dbp-exercises | templates/cli_template.py | cli_template.py | py | 1,556 | python | en | code | 0 | github-code | 36 |
36189617286 | import requests
url_f = "https://shiqianjiang.cn/home/image/bg"
url_e = ".webp"
headers = {
'Accept': 'image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8',
'Accept-Language': 'zh-CN,zh;q=0.9',
'Connection': 'keep-alive',
'Referer': 'https://shiqianjiang.cn/home/',
'Sec-Fetch-Dest': '... | wuheyouzi/code | PycharmProjects/test/shiqianjiang/shiqianjiang.py | shiqianjiang.py | py | 1,346 | python | en | code | 0 | github-code | 36 |
22280407323 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.http import JsonResponse
# Create your views here.
from server.settings import TENCENT_KEY
from app01.models import User
def index(request):
is_login = request.session.get('is_login', None)
print(f'is_login: {is_lo... | LincolnBurrows/my-wechat-mini-program | server/app01/views.py | views.py | py | 2,661 | python | en | code | 0 | github-code | 36 |
1942428451 | class Solution:
def selfDividingNumbers(self, left: int, right: int) -> List[int]:
def check(n: int) -> bool:
s = str(n)
if "i" in s:
return False
for ch in s:
if n % int(ch) != 0:
return False
return True
... | hellojukay/leetcode-cn | src/self-dividing-numbers.py | self-dividing-numbers.py | py | 457 | python | en | code | 3 | github-code | 36 |
29207926658 | def isPossible(weights, load, days):
cnt = 1
weigtAllocated = 0
for i in range(len(weights)):
if(weigtAllocated > load):
return False
weigtAllocated += weights[i]
if(weigtAllocated > load):
cnt += 1
weigtAllocated = weights[i]
return cnt <= day... | sakshi5250/6Companies30Days | INTUIT/Question7.py | Question7.py | py | 750 | python | en | code | 0 | github-code | 36 |
2496533389 | #!/usr/bin/env python
import rospy,actionlib
from iiwa_msgs import msg, srv
import actionlib_msgs.msg
import demo_msgs.srv
def create_movement(link,position_x,position_y,position_z,orientation_x,orientation_y,orientation_z,orientation_w):
movement=msg.CartesianPose()
movement.poseStamped.header.seq = 1
moveme... | andresOchoaHernandez/demoKukaLBR | demo/src/demo.py | demo.py | py | 6,225 | python | en | code | 0 | github-code | 36 |
36584541657 | import logging
from datetime import datetime
from pymongo import MongoClient, UpdateOne
class UrlRepository:
def __init__(self):
mongo_client = MongoClient('mongodb://mongodb:27017/')
mongo_db = mongo_client['crawler_db']
self.collection = mongo_db['urls']
try:
self.co... | HarrYoha/url_explorer | src/repositories/url_repository.py | url_repository.py | py | 838 | python | en | code | 0 | github-code | 36 |
11934438668 | from collections import Counter
from typing import Counter
def main():
t = int(input())
for i in range(t):
n = int(input())
nums = list(map(int, input().split()))
count = Counter(nums)
print(count)
main()
| Misganaw-Berihun/CONTESTS | After_study_contest_4/Equalize_the_Array.py | Equalize_the_Array.py | py | 245 | python | en | code | 0 | github-code | 36 |
26336332994 | import pytest
from ui.locators import basic_locators
from base import BaseCase
class Test_Target(BaseCase):
@pytest.mark.UI
def test_login(self):
self.log_in('alena1997999@gmail.com', 'tWz+H@&Gws#Yj7L')
assert 'Кампании' in self.driver.title
@pytest.mark.UI
def test_logout(self):
... | penguin7707/demo | code/test_hm1.py | test_hm1.py | py | 1,317 | python | en | code | 0 | github-code | 36 |
74537088743 | # stdlib imports
import asyncio
import time
# project imports
import asyncio_cpu
import asyncio_io
if __name__ == "__main__":
start_time = time.time()
loop = asyncio.get_event_loop()
io_start = time.time()
api_data = loop.run_until_complete(asyncio_io.get_data())
print(f"\nDone. IO bound time: {... | bdelate/talk-python-async | src/asyncio_main.py | asyncio_main.py | py | 592 | python | en | code | 2 | github-code | 36 |
37941848319 | from kivy.uix.screenmanager import ScreenManager, Screen
from tasks.tsks import A
class Scrn_manger:
sm = ScreenManager()
name = ""
sc = Screen(name="tasks")
# main.right.dodBtn.bind(on_press=main.dod)
def to_lists(self, sc, a):
self.sm.current = "lists"
self.sm.remove_widget(sc)... | domenSedlar/ToDoAppClient | scrn_mangr.py | scrn_mangr.py | py | 874 | python | en | code | 0 | github-code | 36 |
71666162024 | # The following code was adapted from Week 3 Programming Assignment 1 in the Sequence Models course by DeepLearning.AI offered on Coursera
# https://www.coursera.org/learn/nlp-sequence-models/home/week/3
from tensorflow.keras.layers import Bidirectional, Concatenate, Permute, Dot, Input, LSTM, Multiply
from tensorfl... | AndrewZhang126/Neural-Networks | Attention_Model.py | Attention_Model.py | py | 5,043 | python | en | code | 1 | github-code | 36 |
29087134899 | import sys, copy
# order is: 2 4 0 1 3
input = open(sys.argv[1]).read()
numWords = int(sys.argv[2])
extractPos = int(sys.argv[3])
data = [float(tmp.split()[extractPos]) for tmp in input.split('\n')[:-1]]
tmp = copy.deepcopy(data)
data[0] = tmp[2]
data[1] = tmp[4]
data[2] = tmp[0]
data[3] = tmp[1]
data[4] = tmp[3]
s... | tobzed/appgpu20 | project/results_large/format.py | format.py | py | 462 | python | en | code | 0 | github-code | 36 |
24498767090 | #Name- Tanubrata Dey
#Date- 8 April 2018
#This program prints: Parking ticket
import pandas as pd
csvFile = input('Enter CSV file name: ')
tickets = pd.read_csv(csvFile)
attribute = input("Enter name of attribute: ")
print(tickets[attribute].value_counts()[:10])
| tanubrata/Introduction-to-Python- | parking ticket.py | parking ticket.py | py | 280 | python | en | code | 0 | github-code | 36 |
35863495139 | # Writes a function that takes seconds as a input and displays the time in hours, min , second
#eg. if the user input 3700 s it should display 1 hour 1 min and 40 sec
def time(sec):
sec1 = int(sec / 3600)
sec2 = int((sec % 3600)/60)
sec3 = int((sec % 3600)%60)
print(sec1,"hour", sec... | codexmuneer/python-beginning-work | Lab5taskc.py | Lab5taskc.py | py | 411 | python | en | code | 0 | github-code | 36 |
8097764457 | import os
# use CPU only
os.environ["CUDA_VISIBLE_DEVICES"] = ""
import pickle
import argparse
import numpy as np
from math import ceil
from tqdm import tqdm
import tensorflow as tf
from shutil import rmtree
np.random.seed(1234)
def split(sequence, n):
""" divide sequence into n sub-sequence evenly """
k, m = ... | bryanlimy/CalciumGAN | dataset/generate_tfrecords.py | generate_tfrecords.py | py | 8,641 | python | en | code | 2 | github-code | 36 |
21518532065 | """
Script for converting json annotations in to csv format for training
Only takes into consideration tool boundary boxes
# Re-implementation from new git clone surgery tool detection
#
"""
import csv
import json
import argparse
from pathlib import Path
from PIL import Image
DATA_DIR = str(Path(__file__).resolve(... | egoodman92/semi-supervised-surgery | MULTITASK_FILES/RETINANET_FILES/src/util/convert_data2.py | convert_data2.py | py | 5,607 | python | en | code | 0 | github-code | 36 |
15317253550 | import string
def hello() -> int:
return "hello"
age: int = "20"
name = "Antal"
apples = [1,2,5,7]
print(age)
print(type(apples))
print(hello())
brand = "amigoscode"
print("code" not in brand)
text = f"""
Hello {name}
How are yout?
I am {age} years old.
"""
print(text.format(name, age)) | Psychol0g1st/ScriptLanguages | Python crash course/hello.py | hello.py | py | 297 | python | en | code | 0 | github-code | 36 |
34211985705 | # 19.09.28
COL_CHESS = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H']
LEN_CHESS = len(COL_CHESS)
bishops1 = ['D5']
bishops2 = ['D5', 'E8', 'G2']
def can_move_to(r,c, dir):
if dir=='ul':
return 0<=r-1<LEN_CHESS and 0<=c-1<LEN_CHESS
elif dir=='ur':
return 0<=r-1<LEN_CHESS and 0<=c+1<LEN_CHESS
eli... | chankoo/problem-solving | brute-force/prog_1909_2.py | prog_1909_2.py | py | 2,106 | python | en | code | 1 | github-code | 36 |
11672647873 | import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import random
fig = plt.figure(figsize=(16,12))
ax = fig.add_subplot(111,projection='3d')
x1 = np.arange(-5,5,0.5)
x2 = np.arange(-5,5,0.5)
x1,x2 = np.meshgrid(x1,x2)
ax.set_xlim(-5,5)
... | akaranjkar/PSO | plot.py | plot.py | py | 929 | python | en | code | 0 | github-code | 36 |
27182569232 | import asyncio
async def num(number):
print("before calling coroutine")
await asyncio.sleep(1)
print('after calling coroutine')
return str(number)
loop = asyncio.get_event_loop()
# n = num(5)
l= loop.run_until_complete(num(5))
print(l)
loop = asyncio.get_event_loop()
# c = loop.create_task(num(5))
#... | sivanagarajumolabanti/Chromata | asyncbasic/asyncfuture.py | asyncfuture.py | py | 364 | python | en | code | 0 | github-code | 36 |
29774357428 | import numpy as np
import sys
import os
from random import shuffle
from sklearn.externals import joblib
import gzip
def build(filename, list_file):
with gzip.open(filename, "wt") as file_zip:
for line in list_file:
file_zip.write(line)
file_zip.close()
if __name__ == '__... | rajathpatel23/joint-kge-fnet-lm | KGE_LM/preprocess/build_dataset_random.py | build_dataset_random.py | py | 807 | python | en | code | 3 | github-code | 36 |
30391214782 | from django.contrib.auth import authenticate, login
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.core.exceptions import PermissionDenied
from django.shortcuts import render, get_object_or_404
from .models import *
fr... | sikkzz/cloudprogramming | shop/views.py | views.py | py | 3,758 | python | en | code | 0 | github-code | 36 |
34715529563 | from torchvision import datasets, transforms
from base import BaseDataLoader
from torch.utils.data import Dataset, ConcatDataset
from data_loader import EcalDataIO
import torch
import random
from pathlib import Path
import numpy as np
from collections import Counter
CSV_LEN = 25410
# --------------------------------... | elihusela/LUXE-project-master | data_loader/data_loaders_backup.py | data_loaders_backup.py | py | 15,351 | python | en | code | 0 | github-code | 36 |
16002420757 | #!/usr/bin/python3
import os
import cv2
def Smoothing(image_name):
res_dir = os.environ["PY_IMG"]
if res_dir is None:
print("[ERROR] Resources path isn't defined")
# Convertimos a escala de grises
original_image = cv2.imread(res_dir + "/" + image_name, cv2.IMREAD_GRAYSCALE)
if original_ima... | Madophs/Image-Processsing | filters/Smoothing.py | Smoothing.py | py | 1,790 | python | en | code | 0 | github-code | 36 |
7971934328 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from nnAudio import Spectrogram
from .constants import *
from .Unet_blocks import *
import sys
import abc
from .normalization import Normalization
from torchvision.models import resnet18
batchNorm_momentum = 0.1
num_instruments = 1
... | w4k2/automatic_music_transcription | model/instrument_recognition_model.py | instrument_recognition_model.py | py | 6,038 | python | en | code | 0 | github-code | 36 |
27704235551 | #!/usr/bin/python3.6
# -*- coding: utf-8 -*-
# Generators module
import re, sys
from decimal import Decimal
from random import *
from util import *
from names import *
from gen import *
import misc
from title.characters import *
import title.chargenerator as char
import title.misc as titmisc
import title.titletemplate... | zadieblack/naughtybot3 | title/generators.py | generators.py | py | 351,700 | python | en | code | 5 | github-code | 36 |
38555784326 | import os
import sys
import docx2python
# Program to convert MS-Word pastes into a less
# annoying text file layout.
# Certain unicode symbols can be annoying to work with.
TRANSLATION_TABLE = [
("“", "\""), ("”", "\""), ("„", "\""),
("’", "'"), ("–", "-"), ("…", "..."),
("•", "*"),
]
def write_output(... | TeilzeitTaco/flesh-network-blog | src/tools/indenter.py | indenter.py | py | 4,906 | python | en | code | 0 | github-code | 36 |
28956742527 | import argparse
from pickle import NONE
import random
from wordfreq import zipf_frequency
from constants import *
def get_difficulty_to_words_map(difficulty=None):
difficulty_to_words_map = {}
for word in WORDS:
difficulty = get_word_difficulty(word)
if difficulty not in difficulty_to_words_map... | ravaan/wordle | utils.py | utils.py | py | 3,121 | python | en | code | 0 | github-code | 36 |
26458087607 | import unittest
import sys
import importlib
from math import sqrt
import BaseTypes
import model
class TestChromosome(unittest.TestCase):
def setUp(self):
self.naturalNumberN = model.Nucleotide(domain=BaseTypes.IntInterval(0,9))
self.lessThan100N = model.Nucleotide(domain=BaseTypes.IntInterval(0,99)... | rtorres19/pyevalres | test_Chromosome.py | test_Chromosome.py | py | 1,705 | python | en | code | 0 | github-code | 36 |
8365459714 | import pytest
from .. import *
# this is not necessary but mypy complains if it's not included
from .. import CompileOptions
options = CompileOptions()
def test_cond_one_pred():
expr = Cond([Int(1), Int(2)])
assert expr.type_of() == TealType.uint64
cond1, _ = Int(1).__teal__(options)
pred1, _ = In... | gconnect/voting-dapp-pyteal-react | venv/lib/python3.8/site-packages/pyteal/ast/cond_test.py | cond_test.py | py | 3,458 | python | en | code | 6 | github-code | 36 |
2847753233 | # Qus:https://leetcode.com/problems/next-greater-element-i/
class Solution(object):
def nextGreaterElement(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
stack = []
d = {}
for num in nums... | mohitsinghnegi1/CodingQuestions | leetcoding qus/Next Greater Element I.py | Next Greater Element I.py | py | 720 | python | en | code | 2 | github-code | 36 |
38016425871 | # Import the image data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
from tensorflow.contrib.session_bundle import exporter
import tensorflow as tf
# Start a session
sess = tf.InteractiveSession()
# Input Data
x = tf.placeholder(tf.float32... | FrozenPandaz/tensorflow-tuts | src/mnist/mnist.py | mnist.py | py | 1,262 | python | en | code | 0 | github-code | 36 |
15442890070 | import os
from . import exceptions
from .master import CURRENT as MASTER
def task(prefix, parsed_args, **kwargs):
return [x["id"] for x in MASTER.tasks(prefix)]
def slave(prefix, parsed_args, **kwargs):
return [s["id"] for s in MASTER.slaves(prefix)]
def file(prefix, parsed_args, **kwargs):
files = s... | mesosphere-backup/mesos-cli | mesos/cli/completion_helpers.py | completion_helpers.py | py | 1,018 | python | en | code | 116 | github-code | 36 |
6554352748 | from __future__ import annotations
# IMPORTS
# =======>
# noinspection PyUnresolvedReferences
import typing
from util.formatter.TextColor import *
from util.formatter.TextEffects import *
from dataclasses import dataclass, field
from copy import deepcopy
# EXPORTS
# =======>
__all__ = [
'FormatString'
]
# MAI... | ButterSus/KiwiPreview | util/formatter/FormatString.py | FormatString.py | py | 6,736 | python | en | code | 0 | github-code | 36 |
30800487358 | import time, datetime
from screener import Screener
import os, yaml
def log(msg):
print(f"[{datetime.datetime.now()}] - {msg}")
config = yaml.safe_load(open("config.yaml","r"))
folder_left = config['folder_left']
folder_substats = config['folder_substats']
sec_between_screenshot = co... | FrenchieTucker/RPGgearDetection | main_scraper.py | main_scraper.py | py | 1,035 | python | en | code | 0 | github-code | 36 |
21217260203 | import sqlite3 as sq
from others import funcs as f
def sql_start():
global base, cur
base = sq.connect('bd_crypto_users.db')
cur = base.cursor()
if base:
print('BD connected')
base.execute('CREATE TABLE IF NOT EXISTS {}(id PRIMARY KEY, USDT,BTC,ETH)'.format('data'))
base.commit()
def... | AKAMElmf/crypto_trade_bot | database/sqlite_bd.py | sqlite_bd.py | py | 2,756 | python | en | code | 0 | github-code | 36 |
13870980492 | # 수집할 정보에 대응하는 CSS선택자를 각각 문자열 하나로 만들고, 이들을 딕셔너리 객체에 모아서 BeautifulSoup select함수와 사용하는 기법
# Content는 \
import requests
from bs4 import BeautifulSoup
class Content:
'''
글/페이지 전체에 사용할 기반 클래스
'''
def __init__(self, url, title, body):
self.url = url
self.title = title
self.body = body... | hye0ngyun/PythonPractice | books/webScraping/chap04/chap04Ex2.py | chap04Ex2.py | py | 2,936 | python | ko | code | 0 | github-code | 36 |
38666647232 | from requests.adapters import BaseAdapter
from requests.compat import urlparse, unquote
from requests import Response, codes
import errno
import os
import stat
import locale
import io
from six import BytesIO
class FileAdapter(BaseAdapter):
def __init__(self, set_content_length=True):
super(FileAdapter, s... | JimmXinu/FanFicFare | included_dependencies/requests_file.py | requests_file.py | py | 4,729 | python | en | code | 664 | github-code | 36 |
19365768268 | import telebot
import re
import pymongo
from datetime import datetime
from telebot import types
from bson.objectid import ObjectId
from config import *
bot = telebot.TeleBot(TOKEN)
db = pymongo.MongoClient('mongodb://localhost:27017/').kunyn_team
working_obj = {}
for player in db.players.find():
working_obj[play... | andrii-porokhnavets/telegram_bots | scoring/main.py | main.py | py | 11,279 | python | en | code | 0 | github-code | 36 |
22783009608 | #
# @lc app=leetcode id=324 lang=python3
#
# [324] Wiggle Sort II
#
# https://leetcode.com/problems/wiggle-sort-ii/description/
#
# algorithms
# Medium (30.59%)
# Likes: 1341
# Dislikes: 654
# Total Accepted: 96.8K
# Total Submissions: 314.6K
# Testcase Example: '[1,5,1,1,6,4]'
#
# Given an integer array nums, r... | Zhenye-Na/leetcode | python/324.wiggle-sort-ii.py | 324.wiggle-sort-ii.py | py | 1,515 | python | en | code | 17 | github-code | 36 |
3285109512 | #本范例会用list、if及wheil技巧，以传入list及目标参数，找出list中，最接近目标参数的值
def fun1(list,ss) :
max=len(list)
i=1
rult=ss
while i<max:
if list[i]>ss:
print('%s %d'%(list[i],rult)) #print多参数
if list[i] >rult or list[i]>ss:
if rult>ss and rult<list[i]:
rult=rult... | millerhome/Python-code | samplecode/ex1.py | ex1.py | py | 614 | python | zh | code | 0 | github-code | 36 |
2248843568 | import os
import glob
import subprocess
import pandas as pd
from PIL import Image
import datetime
datetime.timedelta.min
def get_date_taken(path):
return Image.open(path)._getexif()[36867]
#enter in the directory of your images in the line below
os.chdir('D:/mgickdemo/images')
cwd = os.getcwd()
#unfortunately yo... | Owen-Duncan/LeafAreaQuant | Main.py | Main.py | py | 2,123 | python | en | code | 0 | github-code | 36 |
4867507385 | #!/usr/bin/python3
import numpy as np
import pickle
import matplotlib.pyplot as plt
from matplotlib.patches import FancyArrowPatch
from mpl_toolkits.mplot3d import proj3d
from mpl_toolkits.mplot3d import axes3d
# defining the class for later 3D arrow plots
class Arrow3D(FancyArrowPatch):
def __init__(self, xs, y... | Schlabonski/LennardJonesGas | plotting.py | plotting.py | py | 4,026 | python | en | code | 0 | github-code | 36 |
40047690606 | import csv
import os
import datetime
from datetime import date, datetime, timedelta
import matplotlib.pyplot as plt
from rich.console import Console
console = Console()
current_date = date.today().strftime("%d/%m/%Y")
# Generates unique ID for each new line in each csv file
def generate_id(file_name):
with open(... | Juliazijd/winc_superpy | superpy/helpers/buy_sell_products.py | buy_sell_products.py | py | 6,563 | python | en | code | 0 | github-code | 36 |
324210528 | import yaml
from airflow.models import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.bash_operator import BashOperator
def run(script):
execFile('/root/airflow/runtime/{}'.format(script))
def create_python_task(task, dag):
if 'executor_config' in task:
t = P... | Nanjo-Naoto/450 | parser.py | parser.py | py | 1,565 | python | en | code | 0 | github-code | 36 |
31748626437 | import matplotlib.pyplot as plt
from random_walk import RandomWalk
"""make a random walk and plot points as long as the program is active"""
while True:
rw = RandomWalk()
rw.fill_walk()
"""set size of plot window"""
plt.figure(figsize=(10, 6))
point_numbers = list(range(rw.num_points))... | Javataru/data_visualizations | data_graph/data_visualizations/rw_display.py | rw_display.py | py | 876 | python | en | code | 0 | github-code | 36 |
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