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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
259844212 | from c3d3.infrastructure.c3.interfaces.cex_order_history_screener.interface import iCexOrderHistoryScreenerHandler
from c3d3.domain.c3.wrappers.binance.usdtm.wrapper import BinanceUsdtmExchange
from c3d3.core.decorators.to_dataframe.decorator import to_dataframe
import datetime
import time
import requests as r
class... | e183b796621afbf902067460/c3d3-framework | c3d3/infrastructure/c3/handlers/cex_order_history_screener/binance/usdtm/handler.py | handler.py | py | 3,034 | python | en | code | 0 | github-code | 36 |
31530311323 | import cv2
# ^ Must be installed via pip
import os
import re
# ^ Should be there by default idk why it didnt work
import pytesseract
from PIL import Image
def optimize_image_for_ocr(image_path, lang='eng', image_dpi=300, image_format='png', whitelist = None, blacklist = None):
# Load the image
... | WorcestershireSample/FIA-Project | Tesseract/OCRfunc.py | OCRfunc.py | py | 2,641 | python | en | code | 0 | github-code | 36 |
40567581461 | # Initialize an empty dictionary to store the data
import numpy as np
import math
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.use('TkAgg')
from mpl_toolkits.mplot3d import Axes3D
def projectFull(H, X, Y):
w11, w12, w21, w22, w31, w32, t1, t2, t3 = H
u = (fu * w11 + u0 * w31) * X + (fu * w12 ... | bach05/PanNote | src/auto_calibration_tools/scripts/camera_laser_calibration/readTest.py | readTest.py | py | 4,496 | python | en | code | 0 | github-code | 36 |
9042470942 | import os
from doroto import create_app, db
from doroto.models import User
from flask_script import Manager, Shell
from flask_migrate import Migrate, MigrateCommand
from seed import seed_roles, seed_departments_and_positions
from flask_cors import CORS, cross_origin
app = create_app(os.environ.get('FLASK_CONFIG', 'tes... | shmundada93/doroto-api | api/manage.py | manage.py | py | 800 | python | en | code | 1 | github-code | 36 |
72766914984 | import shutil
import os
import sys
import re
import csv
def f(entry):
return entry[entry.find("=")+1:]
#clue_type: strongsubj, weaksubj
#clue_polarity: positive, negative, neutral
#sent_file format: filename, pattern, patterninfo, sentence, fulltext
#given sentences_csv, make a new file with all sentences that cont... | arnab64/slugbot | tryout/lenas_tool/lenas_tool/code/get_mpqa_emotion.py | get_mpqa_emotion.py | py | 2,628 | python | en | code | 1 | github-code | 36 |
10742295231 | import xml.etree.ElementTree as et
def import_monster(name):
tree = et.parse("stats/monster_manual.xml")
root = tree.getroot()
if (root.tag != "mm"):
print ("Monster manual not found!\n")
return None
# Iterate through entries in monster manual
for monster in root:
for child in monster:
if (child.tag ==... | MontyKhan/DnD_Scripts | monster_manual.py | monster_manual.py | py | 451 | python | en | code | 0 | github-code | 36 |
23988113634 | import re
import ast
import json
import tiktoken
from langchain.prompts import PromptTemplate
from ..embeddings.chroma import chroma_openai_cwe_collection, chroma_openai_attack_collection
tokenizer = tiktoken.get_encoding("cl100k_base")
general_cyber_security_prompt = PromptTemplate(
input_variables=["query"],
temp... | yadneshSalvi/cybersec_genai | src/cve_to_attack/cve_to_attack_utils.py | cve_to_attack_utils.py | py | 7,776 | python | en | code | 0 | github-code | 36 |
73970333864 | from .rl import train_rl_agent
import numpy as np
import os
from os import path
from datetime import datetime
import time
import json
import subprocess
from threading import Lock
from typing import Union, Callable, Optional
from multiprocessing import Process, Pipe
import optuna
def train_rl_agent_worker(pipe, hype... | imoneoi/xrl-script | rl-auto-gpu.py | rl-auto-gpu.py | py | 6,769 | python | en | code | 4 | github-code | 36 |
33959849387 | import tkinter as tk
from tkinter import ttk, messagebox, scrolledtext
class WindowComponents(tk.Tk):
def __init__(self):
super().__init__()
self.title("Window Components")
self.geometry("500x500")
self.resizable(False, False)
self.columnconfigure(0, weight=1)
self.c... | D-Forz/python-projects | Learning_projects/Tkinter/components/components_POO.py | components_POO.py | py | 3,375 | python | en | code | 0 | github-code | 36 |
9369219764 | # -*- coding: utf-8 -*-
"""
La fonction analyseLienImage retourne un nombre entre 0 et 1
"""
def analyseLienImage(tabLien, nom):
"""
:param tabLien: tableau avec tous les liens dans le mail
:param nom: nom de l'envoyeur
:return: pourcentage de retour
"""
ratio = 0
nombreLiens = len... | PtspluS/Phising-Analising | src/AnalyseImage.py | AnalyseImage.py | py | 712 | python | fr | code | 1 | github-code | 36 |
1946291291 | from collections import deque
def bfs(l,startx,starty,goalx,goaly):
visited = [[0]*l for _ in range(l)]
queue = deque()
queue.append((startx,starty))
visited[startx][starty] = 1
while queue:
nowx, nowy = queue.popleft()
if nowx == goalx and nowy == goaly:
return visited[... | hellokena/2022 | DFS & BFS/re/7562 나이트의 이동.py | 7562 나이트의 이동.py | py | 972 | python | en | code | 0 | github-code | 36 |
3883610301 | # =============================================================
# Imports
# =============================================================
import time
import threading
from server.app.engine.models import *
from __init__ import DictDiffer as diff
from server.utils.notification.notificationdispatch import *
# ========... | CaptFrank/EsxiController | server/utils/engine/core/stagetask.py | stagetask.py | py | 8,488 | python | en | code | 0 | github-code | 36 |
36008270872 | #!/bin/python
# -*- coding: utf-8 -*-
# Created by 顾洋溢
from mqtt_test.mqtt_bussiness.iot_base64 import Base64
import base64
from Crypto.Cipher import AES
import json
import demjson
from mqtt_test.mqtt_bussiness import iot_sha256
class Iot_encry_decry(object):
def __init__(self, msg, AESkey, secretuId):
... | xuxiuke/Android_test | SmartHomeV6Code_TestTeam-InterfaceTest/mqtt_test/mqtt_bussiness/iot_encry_decry.py | iot_encry_decry.py | py | 1,326 | python | en | code | 1 | github-code | 36 |
31330328592 | d = {
'apple': 'яблоко',
'white': 'белый',
'red': 'красный',
'walk': 'ходить',
'car': ['машина', 'автомобиль'],
'dictionary': {
'car': 'машина',
'white': 'белый',
},
'date': ['свидание', 'финик', 'дата', 'встречаться'],
'zero': 0,
0: 'Ноль'
}
d_rus = {
'машин... | Daniiarz/python07.01 | lesson5/lesson5_2.py | lesson5_2.py | py | 1,160 | python | ru | code | 0 | github-code | 36 |
12638712949 | import numpy as np
from collections import OrderedDict
from dataset.mnist import load_mnist
def numerical_gradient(f, x):
h = 1e-4 # 0.0001
grad = np.zeros_like(x)
it = np.nditer(x, flags=['multi_index'], op_flags=['readwrite'])
while not it.finished:
idx = it.multi_index
tmp_val = x[... | wk1219/Data-Science | AI/Back-Propagation/Back-propagation.py | Back-propagation.py | py | 4,461 | python | en | code | 1 | github-code | 36 |
74160035623 | '''
Descripttion: 两个数组的交集 II
version: 1
Author: Jason
Date: 2020-11-22 16:58:35
LastEditors: Jason
LastEditTime: 2020-11-22 16:59:35
'''
import random
from typing import List
def GenerateRandomList(number, size):
temp = list()
random_legth = random.randint(0, size)
current_length = 0
... | CodingProgrammer/Algorithm | 双指针/350.py | 350.py | py | 1,700 | python | en | code | 1 | github-code | 36 |
18489853000 | from sys import stdin
N = int(input())
req = list(map(int, stdin.readline().split()))
M = int(input())
start, end = 0, max(req)
while start <= end:
mid = (start + end) // 2
total = 0
for i in req:
if i > mid:
total += mid
else:
total += i
if total <= M:
... | Hansung-include/Coding-Test-Study | 05주차/2512/김민준_2512.py | 김민준_2512.py | py | 382 | python | en | code | 0 | github-code | 36 |
15380008623 | import sqlalchemy as sql
from sqlalchemy.sql.expression import func
from datetime import datetime
import _pickle as cPickle
import logging
logging.basicConfig(filename='overlaps.log', level=logging.DEBUG,
format='%(asctime)s %(levelname)s %(name)s %(message)s')
logger=logging.getLogger(__name__)
c... | KiranGershenfeld/VisualizingTwitchCommunities | AtlasGeneration/Python/CalculateOverlaps.py | CalculateOverlaps.py | py | 7,918 | python | en | code | 338 | github-code | 36 |
33922218913 | # 6. Calculating the price in USD
price_tablecloth = fabric_tablecloth * price_tablecloth_for_1_square_meter
price_quads = fabric_quads * price_quads_for_1_square_meter
# 7. Total price in dolars
price_in_dolars = (price_tablecloth + price_quads)
# 8. Exchange rate for USD to BGN
exchange_rate = 1.85
# 9. Converting US... | IvayloSavov/Programming-basics | simple_operations_and_codding_exercise/demo.py | demo.py | py | 482 | python | en | code | 0 | github-code | 36 |
38293660056 | """
ResBlocks for WGAN-GP.
"""
import torch.nn as nn
import torch.functional as F
from torch_mimicry.modules import resblocks
class GBlock(resblocks.GBlock):
r"""
Residual block for generator.
Modifies original resblock definitions with small changes.
Uses bilinear (rather than nearest) interpolati... | kwotsin/mimicry | torch_mimicry/nets/wgan_gp/wgan_gp_resblocks.py | wgan_gp_resblocks.py | py | 5,220 | python | en | code | 593 | github-code | 36 |
36954820069 | import wttest
import os
from wtbackup import backup_base
from wtscenario import make_scenarios
# test_backup07.py
# Test cursor backup with target URIs, logging and create during backup.
class test_backup07(backup_base):
dir='backup.dir' # Backup directory name
logmax="100K"
newuri="tabl... | mongodb/mongo | src/third_party/wiredtiger/test/suite/test_backup07.py | test_backup07.py | py | 2,625 | python | en | code | 24,670 | github-code | 36 |
36165455796 | # coding=utf-8
from django.utils import timezone
from django.db import models
from tinymce.models import HTMLField
class News(models.Model):
title = models.CharField(u'заголовок', max_length=255)
announce = HTMLField(u'анонс')
content = HTMLField(u'описание', blank=True, null=True)
on_main_page = mod... | lambospeed/ryabina | apps/newsboard/models.py | models.py | py | 1,084 | python | ru | code | 0 | github-code | 36 |
36913924087 | import struct
from dh import create_dh_key, calculate_dh_secret
from .xor import XOR
from enum import Enum
import hmac
import hashlib
# part 2 - start
from CA import Certificate_Authority
# part 2 - end
# Add messages
class Message(bytes, Enum):
LIST = bytes("LIST", "ascii")
AUTH = bytes("AUTH", "ascii"... | Sahil123445/SecureChat | SecureChat Project/Code/lib/comms.py | comms.py | py | 6,218 | python | en | code | 0 | github-code | 36 |
477494635 | #coding=utf-8
#__author__ = 'zgs'
import socket
import logging
import struct
import com_config
class Connection():
def __init__(self, host='127.0.0.1', port=1000):
if host == '127.0.0.1' and port == 1000:
self.host = com_config.access_host
self.port = com_config.access_port
... | Oreobird/face_id | src/test/common/connection.py | connection.py | py | 2,483 | python | en | code | 4 | github-code | 36 |
25813270402 | from sys import stdin
lines = [list(map(int, line.split())) for line in stdin.readlines()]
avgs = []
for line in lines[1:]:
avgs.append(sum(line[1:]) / len(line[1:]))
for i, line in enumerate(lines[1:]):
above_avg = sum([grade > avgs[i] for grade in line[1:]])
percentage = above_avg / len(line[1:]) * 100... | Anders-E/Kattis | aboveaverage/aboveaverage.py | aboveaverage.py | py | 362 | python | en | code | 4 | github-code | 36 |
19678324749 | from src.database import Database
# """
# A "main" created for testing purposes
# """
#
# # [[ci,at], an]
# query = "SELECT ci.id AS id FROM cast_info AS ci, aka_title AS at, aka_name AS an " \
# "WHERE ci.movie_id=at.movie_id AND ci.person_id=an.person_id LIMIT 5;"
#
# # query = '''
# # SELECT MIN(cn.name) AS... | antonismand/ReJOIN | main_testing.py | main_testing.py | py | 1,938 | python | en | code | 37 | github-code | 36 |
36253389052 | import threading
import time
from datetime import timedelta
from typing import Callable
from src.models import Team
from src.score_scraper import ScoreScraper
# Monitors a match and notifies the observer when the score changes
class ScoreChangeMonitor:
def __init__(
self,
score_scraper: ScoreScra... | holstt/celebrating-hue-lights | src/score_monitor.py | score_monitor.py | py | 1,755 | python | en | code | 0 | github-code | 36 |
11952058238 | from pymongo.errors import DuplicateKeyError
import requests,os,sys,inspect,uuid
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir+"/../dao/")
sys.path.insert(0,parentdir)
from hashVTDAO import createHashVTDAO, getHashVTDAO
parentdir = os.pa... | Gershpenst/PA-EDR-LIKE | service/hashVTService.py | hashVTService.py | py | 1,801 | python | fr | code | 0 | github-code | 36 |
32149237289 | # invoer
antwrd_1 = str(input('Trek je aan de hendel: '))
antwrd_2 = str(input('Duw je de man van de brug: '))
# berekenen
if antwrd_1 != antwrd_2:
doden = '1'
elif antwrd_1 == 'ja':
doden = '2'
else:
doden = '5'
# uitvoer
print(doden)
| Milan9870/5WWIPython | 06-Condities/trolleyprobleem.py | trolleyprobleem.py | py | 251 | python | nl | code | 0 | github-code | 36 |
4192973907 | import sqlite3
from flask import Flask, render_template,request
from flask_paginate import Pagination, get_page_parameter
app = Flask(__name__)
@app.route('/')
def index():
page = request.args.get(get_page_parameter(), type=int, default=1)
per_page = 8
offset = (page - 1) * per_page
conn = sqlite3.co... | grace-lliu/CS551P-assignment | index.py | index.py | py | 1,361 | python | en | code | 0 | github-code | 36 |
2446313714 | import unittest
from scripts.experiment import ExperimentalMicData
class ExperimentalMicDataTestCase(unittest.TestCase):
def setUp(self):
head = '/home/akhil/Sound-Source-Localization/data/'
self.sample_filename = "".join([head, 'CMU_ARCTIC/cmu_us_bdl_arctic/wav/',
... | akhilvasvani/Sound-Source-Localization | test/unit/test_experiment.py | test_experiment.py | py | 2,693 | python | en | code | 27 | github-code | 36 |
26902432728 | #!/usr/bin/env python3
"""
What is this code?
- prolog module for explanatory ontology-based narratives for collaborative robotics and adaptation.
You can expect to find here definitions that are useful to query and assert knowledge to a prolog knowledge
base that uses the ontology for collaborative robotics a... | albertoOA/explanatory_narratives_cra | src/prolog/prolog_module.py | prolog_module.py | py | 3,328 | python | en | code | 0 | github-code | 36 |
24059635257 | from flask import session
# Dictionary uniter
def MagerDicts(dict1, dict2):
if isinstance(dict1, list) and isinstance(dict2, list):
return dict1 + dict2
elif isinstance(dict1, dict) and isinstance(dict2, dict):
return dict(list(dict1.items()) + list(dict2.items()))
return False
# Cart ite... | Jean029/DataBaseProyect | frontend_model/cartModel.py | cartModel.py | py | 1,528 | python | en | code | 0 | github-code | 36 |
32472626332 | import colorama
from colorama import Fore, Back, Style
import re
import analyze
colorama.init(autoreset=True)
#Input is list of word objects. Prints all words, unknown words being marked red.
def mark_unknown_words_red(words):
for word in words:
if word.known is False:
print(Back.RED + word.w... | estakaad/Pronto | pronto/display.py | display.py | py | 4,765 | python | en | code | 0 | github-code | 36 |
4406266697 | from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
import os
import py.twitter_credentials
import sys
class TwitterAuthenticator:
def twitter_authenticate(self):
auth = OAuthHandler(py.twitter_credentials.CONSUMER_KEY, py.twitter_credentials.CONSUMER_SECRET)
au... | mukul29/TwiXtract | src/py/tweepy_streamer.py | tweepy_streamer.py | py | 1,911 | python | en | code | 0 | github-code | 36 |
3923018795 | file = open("entries.txt", 'r')
data = file.readlines()
inputs = []
for element in data:
inputs.append(element.strip())
ids = []
for word in inputs:
seats = list(range(128))
for char in word[0:7]:
end = len(seats) / 2
if char == 'F':
seats = seats[0:int(end)]
else:
... | Carls13/advent-of-code-2020 | Day 5/part-1.py | part-1.py | py | 650 | python | en | code | 0 | github-code | 36 |
37030347193 | '''
Check if the string is of length = 2. '''
def isOfLengthFour(string1):
if len(string1) == 2:
return True
else:
return False
def main():
listOfStr = ['hi', 'this' , 'is', 'a', 'very', 'simple', 'string' , 'for', 'us']
print("Original List is : ", listOfStr)
print("F... | Karan-hash/Python_Questions_Hackerrank_Solutions | Filter_in_Python.py | Filter_in_Python.py | py | 1,226 | python | en | code | 0 | github-code | 36 |
1441399647 | from operator import itemgetter
from math import inf as infinity, isinf
from random import choice
from CGSserver.Player import TrainingPlayer
from games.TicketToRide.server.Constants import MULTICOLOR, NONE, Scores
def Dijkstra(tracks, nbCities, city1, city2, opponent):
"""Returns the tracks to follow from city1 to ... | thilaire/CodingGameServer | games/TicketToRide/server/NiceBot.py | NiceBot.py | py | 7,281 | python | en | code | 0 | github-code | 36 |
10831135327 | class student:
def stuinput(obj,name,rollno,fee):
obj.name = name
obj.rollno = rollno
obj.fee = fee
def stuoutput(obj):
print("Student Name=",obj.name)
print("Student Rollno=",obj.rollno)
print("Student Fee=",obj.fee)
obj=student()
obj.stuinput("karan",33,4564)
o... | Karan-Johly/Python_journey | d13_dynamicclass_3.py | d13_dynamicclass_3.py | py | 334 | python | en | code | 0 | github-code | 36 |
42213778138 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
from random import Random
__author__ = 'rdy'
def create_eamil_code(random_length=6):
str_code = ''
chars = 'AaBbCcDdEeFfGgHhIiJjKkLlMmNnOoPpQqRrSsTtUuVvWwXxYyZz0123456789'
length = len(chars) - 1
random = Random()
for i in range(random_length):
... | 292887172/open | util/email/email_code.py | email_code.py | py | 389 | python | en | code | 0 | github-code | 36 |
24793623369 | import open3d as o3d
import random
import csv
import numpy as np
import torch
import torch.utils.data as torchdata
from torchvision import transforms
import torchaudio
import librosa
from . import point_transforms as ptransforms
class BaseDataset(torchdata.Dataset):
def __init__(self, list_sample, opt, max_sampl... | francesclluis/point-cloud-source-separation | dataset/base.py | base.py | py | 6,285 | python | en | code | 8 | github-code | 36 |
7946314672 |
import csv;
from datetime import datetime;
from urllib.request import urlopen;
from bs4 import BeautifulSoup;
import os
os.chmod("D:\program\python", 0o777);
def convertString(string):
x,y = string.split(",");
string = x + "." + y;
return float(string);
quote_page = "https://www.avanza.se/... | brjj/Avanza | avanza.py | avanza.py | py | 889 | python | en | code | 0 | github-code | 36 |
429935439 | import sys
from distutils.core import setup
version = '1.0.1'
libname = 'pawnpy'
if sys.maxsize > 2**32:
bitness = '.x64'
else:
bitness = '.x86'
if sys.platform == 'win32':
libname += bitness + '.dll'
else:
libname = 'lib' + libname
if sys.platform == 'darwin':
libname += '.darwin' + bi... | pgurenko/pawnpy | setup.py | setup.py | py | 1,071 | python | en | code | 2 | github-code | 36 |
12029401118 | #!/usr/bin/env python3
#if __name__ == '__main__':
# n = int(input())
# arr = map(int, input().split())
#
#sorted_list = sorted(arr)
#uniq_list = []
#
#for i in sorted_list:
# if i not in uniq_list:
# uniq_list.append(i)
#
#print(uniq_list[-2])
"""
Below is the improved version (thanks to someone)
Above I take ... | NateDreier/Learn_Python | hackerrank/runner_up.py | runner_up.py | py | 807 | python | en | code | 0 | github-code | 36 |
4029209236 | import pandas as pd
from bs4 import BeautifulSoup
import requests
x = input('ievadi loterijas nosaukumu(eurojackpot;viking-lotto;superbingo;latloto;keno;loto5;joker;joker7) \n')
y = []
i = 1
if x =='loto5':
web = 'https://www.latloto.lv/lv/rezultati/loto5'
source = requests.get(web).text
... | kakaoenjoyer/-odien_paveiksies | sodien_paveiksies.py | sodien_paveiksies.py | py | 1,175 | python | en | code | 0 | github-code | 36 |
18036337899 | from utils.cs_parser import CsharpParser
from utils.html import HtmlMaker
import argparse
import os
def main(filename, destination):
with open(filename, 'rt') as file:
lines = file.readlines()
csparser = CsharpParser()
oop_result = csparser.parse_file(lines)
name = filename.split(os... | eyeless12/2html | converter.py | converter.py | py | 934 | python | en | code | 0 | github-code | 36 |
17837697632 | # -*- coding: utf-8 -*-
# E
# 実質的には重複ありナップサック問題
# dp[i][j]をi番目までのパターンで体力jのモンスターを倒すのに必要な魔力の最小値とする
# 重複ありの場合、m個を全て試しているとO(NHH)かかってしまうため、
# dp[i][j] = max(dp[i][j], dp[i][j - A[i]]という形で前の結果を再利用することでO(NH)で済ませる
H, N = map(int, input().split())
data = []
for i in range(N):
a, b = map(int, input().split())
data.a... | hsuetsugu/atc | ABC153/E.py | E.py | py | 1,048 | python | ja | code | 0 | github-code | 36 |
37709437793 | from datetime import timedelta
from flask import Flask, render_template, session, url_for, request, jsonify, app
from pymongo import MongoClient
import hashlib
import json
client = MongoClient('mongodb://bibi:6666667!@3.34.129.197', 27017)
db = client.MyPick31
app = Flask(__name__)
############
#라우팅 함수# : 홈 / 디테일 /... | JiHoon-JK/MyPick31 | app/run.py | run.py | py | 34,199 | python | ko | code | 0 | github-code | 36 |
27784230868 | import yaml
# save_load将yaml数据流准成python对象
# save_dump将python对象转换成yanl格式
def get_data():
with open('yaml01.yaml', encoding='utf-8') as f:
datas = yaml.safe_load(f)
return datas
def get_yaml():
aa = {'language': ['ruby', 'python', 'java'], 'websites': {'yaml': 'YAML', 'python': 'PYTHON'}}
... | BrandonLau-liuyifei/TestByPython | python_base/test_framework_foundation/yamldemo/getdata.py | getdata.py | py | 440 | python | en | code | 0 | github-code | 36 |
10166527789 | import os
from datetime import datetime
import tensorflow as tf
import numpy as np
import json
from sklearn.model_selection import train_test_split
DATA_IN_PATH ='./data_in/'
DATA_OUT_PATH = './data_out/'
FILE_DIR_PATH = DATA_IN_PATH
INPUT_TRAIN_DATA_FILE_NAME = 'nsmc_train_input.npy'
LABEL_TRAIN_DATA_FILE_NAME = 'ns... | minkyujoo/TCL_NLP | TCL_NLP/textclassifier_modeling.py | textclassifier_modeling.py | py | 3,951 | python | en | code | 0 | github-code | 36 |
33221925828 | import logging
from sqlalchemy import case, create_engine, select
from . import schema
from .. import client
from ..common import Results, date_range
from ..constants import MARKS, PERIODS
logger = logging.getLogger(__name__)
class Store:
def __init__(self, bind=None):
if bind is None:
sel... | dwayne/playwhe | playwhe/cli/store.py | store.py | py | 3,488 | python | en | code | 1 | github-code | 36 |
35851739766 | from __future__ import print_function
from future import standard_library
standard_library.install_aliases()
import configparser
import sys
from paste.script import command
import http.cookiejar, urllib.request, urllib.error, urllib.parse
class PackCommand(command.Command):
max_args = 2
min_args = 1
usa... | wyldebeast-wunderliebe/w20e.pycms | w20e/pycms/pack.py | pack.py | py | 1,538 | python | en | code | 11 | github-code | 36 |
36896153949 | __all__ = [
'AFSDB',
'CERT',
'CNAME',
'DLV',
'DNAME',
'DNSKEY',
'DS',
'GPOS',
'HINFO',
'HIP',
'ISDN',
'KEY',
'LOC',
'MX',
'NS',
'NSEC',
'NSEC3',
'NSEC3PARAM',
'NXT',
'PTR',
'RP',
'RRSIG',
'RT',
'SIG',
'SOA',
'SPF',
... | RMerl/asuswrt-merlin | release/src/router/samba-3.6.x/lib/dnspython/dns/rdtypes/ANY/__init__.py | __init__.py | py | 356 | python | en | code | 6,715 | github-code | 36 |
40857498901 | from __future__ import print_function
import numpy as np
import scipy as sp
from healpy import query_disc
from numba import jit
from picca import constants
from picca.utils import print
# npb = number of parallel bins (to avoid collision with numpy np)
npb = None
ntb = None
ntm= None
npm= None
rp_max = None
rp_min =... | vserret/picca | py/picca/cf.py | cf.py | py | 24,065 | python | en | code | 0 | github-code | 36 |
12601628610 | from typing import List
class Solution:
def deleteAndEarn(self, nums: List[int]) -> int:
calculation = [n for n in range(0, max(nums)+1)]
arr_size = len(calculation)
for i in range(0,arr_size):
calculation[i] = 0
for n in nums:
calculation[n] += n
... | goldy1992/algorithms | delete_and_earn/delete.py | delete.py | py | 523 | python | en | code | 0 | github-code | 36 |
73433072104 | #!/usr/bin/env python3
"""
sklearn_pack.py: Do Model training with large sparse matrix with sklearn
"""
__author__ = "Yanshi Luo"
__license__ = "GPL"
__email__ = "yluo82@wisc.edu"
import pandas as pd
def random_forest(finalX_train, finalY_train, finalX_test, n_parallel=1, write_csv=False, write_filename='rf_pref.c... | yanshil/STAT628_GM2_Yelp | code/Yanshi/sklearn_pack.py | sklearn_pack.py | py | 1,351 | python | en | code | 0 | github-code | 36 |
30524149041 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author: HuHao <huhao1@cmcm.com>
Date: '2018/7/21'
Info:
"""
import os,traceback,time,socket,multiprocessing
from threading import Thread
def countdown(n):
while n>0:
print('T-minus',n)
n -=1
time.sleep(2)
def start():
# 创建一个线程，target 为目标函数，args 为入参，默... | happy-place/data-base | api-test/py-test/Part3_Python_CookBook/test_thread.py | test_thread.py | py | 2,251 | python | en | code | 1 | github-code | 36 |
37634720193 | import socket
import sys
HOST = '127.0.0.1' # The server's hostname or IP address
PORT = 8000 # The port used by the server
mysock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
mysock.connect((HOST, PORT))
url = input("enter url in desired format\neg. GET site1/filename.extension\n\n")
#get url in desir... | AnchalSoni512/Internals-of-application-server-IAS | Lab1/client.py | client.py | py | 1,040 | python | en | code | 0 | github-code | 36 |
29158312367 |
import sys
from layers import WEIGHT_DECAY_KEY
sys.path.append('/gan_segmentation/models/discriminators')
import largeFOV, smallFOV, stanford_background_dataset_discriminator
sys.path.append('/gan_segmentation/models/generators')
import fcn32, unet, deeplab_v3
import tensorflow as tf
import numpy as np
from utils impo... | ChangqingHui/Semantic-Segmentation-with-Adversarial-Networks | updater.py | updater.py | py | 14,171 | python | en | code | 1 | github-code | 36 |
30330479959 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2021/3/26 1:57 下午
# @Author : wangHua
# @File : ProductAddConsumer.py
# @Software: PyCharm
from app.consumers import BaseConsumer
from utils import Logger, Http
from app.proxies import get_proxy_engine
from app.exceptions import NotFoundException, CrawlErrorEx... | whale-fall-wh/producer-consumer | app/consumers/ProductAddConsumer.py | ProductAddConsumer.py | py | 2,913 | python | en | code | 0 | github-code | 36 |
34337388292 | import cv2
import time
def cam(i):
bs = cv2.createBackgroundSubtractorKNN(detectShadows = True)
camera = cv2.VideoCapture(i)
while True:
ret, frame = camera.read()
fgmask = bs.apply(frame)
# img = frame
th = cv2.threshold(fgmask.copy(), 244, 255, cv2.THRESH_BINARY)[1]
th = cv2.erode(th, cv2.getStructuri... | 0x024/MS | Ubuntu/cam.py | cam.py | py | 968 | python | en | code | 23 | github-code | 36 |
70562634984 | import sys
from collections import deque
input = sys.stdin.readline
M, N, H = map(int, input().rstrip().split())
box = [[list(map(int, input().rstrip().split())) for _ in range(N)] for _ in range(H)]
visited = [[[False for _ in range(M)] for _ in range(N)] for _ in range(H)]
tomato = []
check = 0
for h in range(H):... | zsmalla/algorithm-jistudy-season1 | src/chapter3/3_DFS와BFS(2)/7569_python_임지수.py | 7569_python_임지수.py | py | 1,089 | python | en | code | 0 | github-code | 36 |
72482582503 | from fhcrc_pathology.OneFieldPerReport import OneFieldPerReport
import global_strings as gb
class DCIS_NuclearGrade(OneFieldPerReport):
''' find the invasive nuclear pleomorphism in the templated pathology report '''
__version__ = 'DCIS_NuclearGrade1.0'
def __init__(self):
super(DCIS_NuclearGrade, ... | esilgard/BreastMR | fhcrc_pathology/breast/DCIS_NuclearGrade.py | DCIS_NuclearGrade.py | py | 641 | python | en | code | 0 | github-code | 36 |
18420782029 | from requests_html import HTMLSession
s = HTMLSession()
location = input("Enter Location: ")
url = f'https://www.eldersweather.com.au/climate-history/vic/{location}'
r = s.get(url, headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'}... | JPanettieri/historic-weather-scraper | main.py | main.py | py | 759 | python | en | code | 0 | github-code | 36 |
37384049849 | import logging
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from ..items import BbcNewsItem
from readability import Document
import html2text
from datetime import datetime
from goose3 import Goose
class BbcSpider(CrawlSpider):
name = 'bbc'
start_urls = ['https:/... | ahmad-haggag/bbc-news-scraper | scraper/scraper/spiders/bbc.py | bbc.py | py | 2,514 | python | en | code | 0 | github-code | 36 |
34885776973 | # %%
from enum import Enum
from typing import List, AnyStr, Callable, Sequence, Union
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from transformers.pipelines.base import Pipeline
import tweepy as tw
import plotly.express as px
import os
import json
from transformers import (AutoModelForSequen... | talk2sunil83/BERTLearnings | twitter_sentimant_analysis.py | twitter_sentimant_analysis.py | py | 6,031 | python | en | code | 1 | github-code | 36 |
10183802878 | import socket
import threading
IP = socket.gethostbyname(socket.gethostname())
PORT = 56011
ADDR = (IP, PORT)
SIZE = 4096
FORMAT = "utf-8"
DISCONNECT_MSG = "!DISCONNECT"
def handle_client(conn, addr):
print("[New Connection] {} Connected.".format(addr))
connected = True
while connected:
msg = con... | tobeking01/WebServer-TCP-Socket-Programming | MultiThreadServer.py | MultiThreadServer.py | py | 1,004 | python | en | code | 0 | github-code | 36 |
74872050985 | import io
import os
# Imports the Google Cloud client library
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types
credential_path = "C:/Users/nickj/OneDrive/Documents/Capstone/voice.json"
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path
# Instanti... | refridgerators/raspicode | voice.py | voice.py | py | 1,005 | python | en | code | 0 | github-code | 36 |
9730112950 | #///////////////// Use this pattern to gererate a GUI to manipulate a struct.
import progSpec
import codeDogParser
from progSpec import cdlog, cdErr
classesToProcess=[]
classesEncoded={}
currentClassName=''
currentModelSpec=None
# Code accmulator strings:
newWidgetFields=''
widgetInitFuncCode=''
widgetFromVarsCode... | BruceDLong/CodeDog | pattern_MakeGUI.py | pattern_MakeGUI.py | py | 36,319 | python | en | code | 16 | github-code | 36 |
13962392009 | from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.http import Http404
from django.shortcuts import render, redirect, get_object_or_404
from django.utils.translation import gettext as _
from django.views.decorators.cache import never_cache
from account.templatetag... | helfertool/helfertool | src/registration/views/event.py | event.py | py | 10,145 | python | en | code | 52 | github-code | 36 |
2882981479 | import requests
import json
urlApiProductos = "http://localhost:8085/colaboradores"
# Petición get
response = requests.get(urlApiProductos)
print(response)
print(response.status_code)
print(response.encoding)
print(response.headers)
print(response.text)
producto = json.loads(response.text)
print(producto)
print(js... | ariasDev/semillero | Python/Curso Python/python/api.py | api.py | py | 842 | python | es | code | 0 | github-code | 36 |
13149151210 | palabra='HoLa'
palabra=list(str.lower(palabra))
contador=0
palabra2=[]
diccionario =dict()
diccionario = { 'a':1, 'b':2, 'c':3, 'd':4, 'e':5, 'f':6, 'g':7, 'h':8, 'i':9, 'j':10, 'k':11, 'l':12, 'm':13, 'n':14, 'ñ':15, 'o':16, 'p':17, 'q':18, 'r':19, 's':20, 't':21, 'u':22, 'v':23, 'w':24, 'x':25, 'y':26 ,'z':27}
for i ... | jmarrieta98/Programacion | Python/Codewars/diccionario.py | diccionario.py | py | 489 | python | en | code | 0 | github-code | 36 |
11369950241 | from unittest import TestCase
from guitarpractice.exercises import list_exercises, get_exercise
from guitarpractice.models import Sequence
class TestListExercises(TestCase):
def test_list_of_exercises_is_returned(self):
result = list_exercises()
expected = {
'exercises': {
... | craigargh/guitar-practice-core | guitarpractice/tests/exercises/test_queries.py | test_queries.py | py | 2,102 | python | en | code | 0 | github-code | 36 |
18551322259 | from .models import Speaker
import csv
def to_bool(s):
return s == "1"
def import_speaker_data(csv_file):
with open(csv_file, 'r') as file:
reader = csv.DictReader(file)
for row in reader:
speaker_name_list = [row["First Name"], row["Surname"]]
name = " ".join(speaker_... | byronho24/uqds-debating-draw | baseapp/importer.py | importer.py | py | 1,072 | python | en | code | 1 | github-code | 36 |
73921571944 | import torch
import numpy as np
def inference(network, image, checkpoint_path):
"""
Network inference function
Args:
network: Network object to make the inference
image: Numpy array of the image to infer on
checkpoint_path: Path to the weights to use for the inference
Returns... | ValentinFigue/Images-Restoration | Network/inference.py | inference.py | py | 1,037 | python | en | code | 0 | github-code | 36 |
25697455302 | '''
Created on Sep 26, 2022
@author: estudiante
'''
'''
1.
numero = int(input("Introduce un numero: "))
if numero%2 == 0:
print("Es par")
else:
print("Es impar")
2.
numero1 = int(input("introduce primer número: "))
numero2 = int(input("Introduce segundo numero: "))
if numero1 == n... | alvarojimeenez/Programacion | Programación/Boletin3.py | Boletin3.py | py | 6,230 | python | es | code | 0 | github-code | 36 |
15979499427 | import logging
class LoggingConfig:
"""
Configure and use logs with logging for repository use.
"""
@staticmethod
def configureLog(level=logging.INFO, filename="run.log"):
"""
Configure the logging settings.
Args:
level (int, optional): The logging level (DEBU... | nemacdonald/otis | src/utils/logger.py | logger.py | py | 929 | python | en | code | 0 | github-code | 36 |
25679055608 | from rllab.algos.batch_polopt import BatchSampler
from math import exp
import random
import copy
class ISSampler(BatchSampler):
"""
Sampler which alternates between live sampling iterations using BatchSampler
and importance sampling iterations. Currently works with vpg, not guaranteed
to work with othe... | buduo15/rllab | contrib/alexbeloi/is_sampler.py | is_sampler.py | py | 3,827 | python | en | code | null | github-code | 36 |
11562594754 | from django.contrib import admin
from django.urls import path
from interview.views import createInterview, showInterviews, uploadResume
urlpatterns = [
path('admin/', admin.site.urls),
path('', createInterview),
path('create', createInterview),
path('interviews', showInterviews),
path('interviews/<... | strikeraryu/scaler_interview | scaler_interview/urls.py | urls.py | py | 441 | python | en | code | 0 | github-code | 36 |
39207374957 | # --- carolin schieferstein & jose c. garcia alanis
# --- utf-8
# --- Python 3.7 / mne 0.20
#
# --- EEG prepossessing - dpx-r40 [WIP]
# --- version march 2020 [WIP]
import mne
import re
import glob
import os
from mne import pick_types, Epochs, combine_evoked
import pandas as pd
import numpy as np
output_dir = '/Volu... | CarolinSchieferstein/Master-DPX-EEG | python_scripts/07_export_epochs.py | 07_export_epochs.py | py | 8,133 | python | en | code | 1 | github-code | 36 |
74029485864 | import re
from datetime import datetime
def format_date(date):
"""Format the date to datetime string"""
month, day, year = date.split("/")
return datetime(int(year), int(month), int(day)).strftime(
"%Y-%m-%dT%H:%M:%S%Z"
)
def get_ajax_identifier(page_text):
"""Extract from raw HTML the A... | guicrespo/farascraper | farascraper/farascraper/spiders/utils.py | utils.py | py | 504 | python | en | code | 0 | github-code | 36 |
73571223143 | import config
import regex
from models.candidate import Candidate
def fuzzy_search(pattern, string, error_max):
"""Find approximately matching pattern in string
Args:
pattern (string): regex pattern
string (string): where search is performed
error_max (int)
Returns:
error... | TemryL/EyeDocScanner_API | reader_scripts/search.py | search.py | py | 6,576 | python | en | code | 0 | github-code | 36 |
947704012 | pkgname = "xeyes"
pkgver = "1.3.0"
pkgrel = 1
build_style = "gnu_configure"
hostmakedepends = ["pkgconf", "xorg-util-macros"]
makedepends = ["libxmu-devel", "libxt-devel", "libxrender-devel", "libxi-devel"]
pkgdesc = "Follow the mouse"
maintainer = "q66 <q66@chimera-linux.org>"
license = "MIT"
url = "https://xorg.freed... | chimera-linux/cports | contrib/xeyes/template.py | template.py | py | 573 | python | en | code | 119 | github-code | 36 |
24945678151 | # -*- coding: utf-8 -*-
# ____ __ __ ___ _ _ _
# |_ /___ / _|/ _|/ __| (_)___ _ _| |_
# / // -_) _| _| (__| | / -_) ' \ _|
# /___\___|_| |_| \___|_|_\___|_||_\__|
#
"""Zeff unstructured temporal data."""
__author__ = """Lance Finn Helsten <lanhel@zeff.ai>"""
__copyright__ = """Copyright © 2019, Zif... | zeff-ai/ZeffClient | src/zeff/record/unstructuredtemporaldata.py | unstructuredtemporaldata.py | py | 2,133 | python | en | code | 1 | github-code | 36 |
3756817154 | import jpype as jp
from monostrategy import Monostrategy
class Kmeans(Monostrategy):
def __init__(self,arff_string,weights,nb_seeds,nb_steps):
if not jp.isThreadAttachedToJVM():
jp.attachThreadToJVM()
Monostrategy.__init__(self,arff_string,weights)
self.nb_seeds = int(n... | Alshak/jcl | jcl/methods/kmeans.py | kmeans.py | py | 847 | python | en | code | 0 | github-code | 36 |
72242724903 | import requests
import re
from airports.serializers import AirportSerializer, RunwaySerializer, AirportCommSerializer
from airports.models import Airport, Runway, AirportComm
from datetime import datetime, timedelta, timezone
class FlightPlanAPIClient(object):
"""
API Client class used to construct requests t... | bfolks2/django-aviation | api/flightplan_client.py | flightplan_client.py | py | 9,259 | python | en | code | 2 | github-code | 36 |
25460961095 | '''import pandas as pd
garden_data = pd.read_csv("gardenAll.csv", encoding='euc-kr')
plant = "청옥"
data2 = garden_data[garden_data['name'] == "청옥"]
print(data2['temp(°C)'])
print(data2['hd(%)'])
print(data2['light(Lux)'])
print(data2['water'])
temp1 = data2['temp(°C)']
if float(temp1) >= 5:
for i in range(5):
... | Yoonseungwook/dailylog | aa.py | aa.py | py | 1,601 | python | en | code | 0 | github-code | 36 |
4078678340 | """Figure 1: teaser figure"""
import argparse
import os
import sys
from os.path import join
SCRIPT_DIR = os.path.realpath(os.path.dirname(__file__))
sys.path.append(join(SCRIPT_DIR, '..'))
from common import *
import configs
import tqdm
from constants import OUTPUT_DIR
fig_name = 'teaser'
fig_dir = join(FIGURE_DIR... | rgl-epfl/differentiable-sdf-rendering | figures/teaser/teaser.py | teaser.py | py | 1,970 | python | en | code | 810 | github-code | 36 |
23439474515 | def find_unique_delivery_id(arr):
histogram = {}
# O(n) runtime
for item in arr:
key = str(item)
if key in histogram:
histogram[key] += 1
else:
histogram[key] = 1
# O(n) runtime
for k, val in histogram.iteritems():
if val == 1:
... | KamalNaidu/Competitive_Programming | Week-2/Day-1/Drone_21.py | Drone_21.py | py | 346 | python | en | code | 0 | github-code | 36 |
43296737164 | from pypy.interpreter.gateway import unwrap_spec
from pypy.interpreter.error import oefmt
from rpython.rlib import rthread, rgil
def signals_enter(space):
space.threadlocals.enable_signals(space)
def signals_exit(space, w_ignored1=None, w_ignored2=None, w_ignored3=None):
space.threadlocals.disable_signals(sp... | mozillazg/pypy | pypy/module/__pypy__/interp_signal.py | interp_signal.py | py | 1,254 | python | en | code | 430 | github-code | 36 |
14366833514 | from flask import Flask, Response
import json
import pickle
import pmdarima
from datetime import datetime
import pandas as pd
def predecir(period):
pred_temp = pickle.load( open('./modelo_temperatura.p', 'rb') )
pred_hum = pickle.load( open('./modelo_humedad.p', 'rb') )
prediccion_temp = pred_temp.predict... | fer227/API_WeatherPredictor | apiV1/apiV1.py | apiV1.py | py | 1,349 | python | en | code | 0 | github-code | 36 |
17253375732 | import os
import traceback
from datetime import datetime, timedelta
import pytz
import config
from manage_transactions import get_first_transaction_timestamp, get_transaction_data
from util import logging
# structure /terra-data/raw/stats_daily_transaction/<type>/<token>.csv
STORE_DAILY_TRANSACTIONS_DIRECTORY = '/te... | joergkiesewetter/terra-analytics | calculate_daily_transaction_data.py | calculate_daily_transaction_data.py | py | 10,541 | python | en | code | 0 | github-code | 36 |
36829592590 | # mne.python.loading.data
import os
import numpy as np
import mne
# 1. Loading data
# mne-python库支持直接读取各种格式的数据文件，支持众多EEG数据采集设备
# 主要包括设置数据文件夹，原始数据读取到文件句柄，通过句柄传递给变量
sample_data_folder = mne.datasets.sample.data_path() # 数据文件夹
sample_data_raw_file = os.path.join(sample_data_folder, 'MEG', 'sample', ... | oca-john/EEG.DeepLearning-xi | Python(EEG)/mne.python.loading.data--.py | mne.python.loading.data--.py | py | 2,168 | python | zh | code | 1 | github-code | 36 |
16162661371 | #!/usr/bin/env python3
import rospy
from Adafruit_PCA9685 import PCA9685
import RPi.GPIO as GPIO
from std_msgs.msg import Float32
from geometry_msgs.msg import Twist
import tty
import termios
import sys
# Initialise the PCA9685 using the default address (0x40).
pwm = PCA9685()
# Configure min and max servo pulse len... | oguzhanbzglu/SergeantBot | idu_robot/scripts/turning.py | turning.py | py | 3,287 | python | en | code | 2 | github-code | 36 |
71249204904 | __author__ = 'zfh'
import os
import utils
import matplotlib.pyplot as plt
artistList=set()
dir=os.path.join(utils.allResultPath,'bestanalysis')
files = os.listdir(dir)
for file in files:
with open(os.path.join(dir,file),'r') as csvfile:
while True:
line=csvfile.readline().strip('\n')
... | ifenghao/tianchi_contest | test/plotresults.py | plotresults.py | py | 1,360 | python | en | code | 0 | github-code | 36 |
19733948574 | n = int(input())
for i in range(n):
a = int(input())
if a == int(0):
print('NULL')
elif a%int(2)!=int(0):
if a<int(0):
print('ODD NEGATIVE')
else:
print('ODD POSITIVE')
elif a%int(2)==int(0):
if a<int(0):
print('EVEN NEGATIVE')
els... | MasumTech/URI-Online-Judge-Solution-in-Python | URI-1074.py | URI-1074.py | py | 357 | python | en | code | 1 | github-code | 36 |
3911965751 | import metview as mv
# define a view over the area of interest and set land shading on
land_shade = mv.mcoast(
map_coastline_land_shade=True,
map_coastline_land_shade_colour="RGB(0.98,0.95,0.82)",
map_coastline_sea_shade=False,
map_coastline_sea_shade_colour="RGB(0.85,0.93,1)",
)
area_view = mv.geov... | ecmwf/metview-python | examples/UC-03-bufr.py | UC-03-bufr.py | py | 1,847 | python | en | code | 116 | github-code | 36 |
20136022872 | from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import ByteString, Callable, Generic, Tuple, TypeVar
from network import UDPLink
import torch
import numpy as np
# import aestream
T = TypeVar("T")
class Observation():
def __init__(self, tof, bat, imu, uwb):
self.tof = ... | jpromerob/MockUpBot | durin/sensor.py | sensor.py | py | 1,470 | python | en | code | 0 | github-code | 36 |
4909866886 | from tkinter import *
from tkinter import ttk
import sqlite3
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import letter, A4
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.platypus import SimpleDocTemplate,Image
import webbrowser
root = Tk()
... | Felipe500/CRUD-CADASTRO-CLIENTES-PYTHON-TKINTER-SQLITE | main.py | main.py | py | 10,777 | python | pt | code | 6 | github-code | 36 |
23411926390 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('compras', '0181_auto_20160908_2139'),
]
operations = [
migrations.Remo... | pmmrpy/SIGB | compras/migrations/0182_auto_20160909_1149.py | 0182_auto_20160909_1149.py | py | 1,387 | python | es | code | 0 | github-code | 36 |
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