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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
31194615398 | import time
import requests
# Takes in a schedule dictionary and sends instructions at specified times
# Exits when mode is changed to manual
def send_instructions(schedule):
manual = False
while not manual:
for scheduled_time in schedule.keys():
if int(time.strftime('%H')) == int(schedule... | apangasa/hackumass-blindcontrol | cloudFxns/scheduler.py | scheduler.py | py | 1,384 | python | en | code | 2 | github-code | 36 |
24952050763 | from selenium import webdriver
import time
import json
import os
from selenium.webdriver.common.by import By
import subprocess
import difflib
import re
from urllib.parse import unquote
from colorama import *
class Voltaire:
def __init__(self):
options = webdriver.ChromeOptions()
opt... | Sshinx/Voltaire-is-Over | Voltaire.py | Voltaire.py | py | 3,406 | python | en | code | 11 | github-code | 36 |
15573580960 | import argparse
import json
import os
import cv2
import imageio
import numpy as np
import pims
def _get_box(annot_box):
x, y, w, h = annot_box["x"], annot_box["y"], annot_box["width"], annot_box["height"]
return (int(x), int(y), int(x + w), int(y + h))
def extract_crop_from_image(image, box):
x1, y1, x... | EGO4D/episodic-memory | VQ2D/visualizations/visualize_annotations.py | visualize_annotations.py | py | 5,766 | python | en | code | 80 | github-code | 36 |
74262373225 | import torch
from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
TensorDataset)
from tqdm import tqdm
from transformers import ElectraForTokenClassification, ElectraConfig, WEIGHTS_NAME, CONFIG_NAME
from transformers import ElectraTokenizer
import time
import pandas... | lindvalllab/MLSym | inference/run_and_predict.py | run_and_predict.py | py | 9,557 | python | en | code | 7 | github-code | 36 |
73599802024 | from typing import List
def insert_at(original: List, value: int, target_index: int) -> List:
#return original[:i] + [value] + original[i:] (python version)
new_list = [0] * (len(original)+1) #(java version)
index = -1
for index in range(target_index):
new_list[index] = original[index]
new... | amark02/ICS4U-Classwork | Lists/list_functions.py | list_functions.py | py | 778 | python | en | code | 0 | github-code | 36 |
28523456157 | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
from opus_core.variables.variable import Variable
from numpy import ma, clip, where
from opus_core.logger import logger, log_block
class total_SS... | psrc/urbansim | zurich_parcel/building/total_SSS_job_space.py | total_SSS_job_space.py | py | 3,263 | python | en | code | 4 | github-code | 36 |
569761706 | import os, tempfile, shutil
from . import utilityFunctions as uF
from .output import message
def medToGeo(medFile, geoFile, tmpdir, opt=[], verbose=0):
medLoc=os.path.dirname(medFile)
medName=os.path.basename(medFile)
inpFile=os.path.join(tmpdir,'import.inp')
zfile = open(inpFile,'w')
zfile.write('****mesher... | luzpaz/occ-smesh | src/Tools/ZCracksPlug/Zset.py | Zset.py | py | 4,844 | python | en | code | 2 | github-code | 36 |
74569463783 | import sys, random, string, poplib
from PyQt5 import QtCore, uic
from PyQt5.QtWidgets import QApplication, QComboBox, \
QPushButton, QLineEdit, QLabel
def on_cross_pushbutton_clicked():
if method_combo_box.currentText() == "Corte Simples":
offsprings = simple_cut_crossover()
son1_label_3.setVi... | gabbarco/IA-Projects-2022 | 7_crossover_operation/crossover_operation.py | crossover_operation.py | py | 4,508 | python | en | code | 1 | github-code | 36 |
35220926762 | import json
import requests
from bs4 import BeautifulSoup
URL = 'https://www.zr.ru/news/'
HEADERS = {'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:93.0) Gecko/20100101 Firefox/93.0', 'accept': '*/*'}
HOST = 'https://www.zr.ru'
# Функция получения данных с сервера
def get_html(url, params=None): ... | dimedrolex/parser-news-zr | www-zr-ru.py | www-zr-ru.py | py | 2,503 | python | ru | code | 0 | github-code | 36 |
40072930878 | # 标准库
import io as _io
import os as _os
import sys as _sys
import imp as _imp
import codecs as _codecs
import traceback as _traceback
import pathlib as _pathlib
def enhance_init(work_dir=__file__, python_version_require=0, check_module_list=[]):
"""
:param pythonVersionRequire(int): 最低python所需版本
:param ch... | IceTiki/tikilib | enhance.py | enhance.py | py | 4,584 | python | en | code | 1 | github-code | 36 |
2920450419 | #coding:utf-8
import urllib
import http.cookiejar
import json
class Qqpush:
pushurl='https://wx.scjtqs.com/qq/push/pushMsg'
def push(self,qq,token,data):
url = self.pushurl+"?token="+token
post={}
post['qq']=qq
post['content']=[{"msgtype":"text","text":data}]
postdata=byt... | scjtqs2/fqsign | utils/qqpush.py | qqpush.py | py | 861 | python | en | code | 0 | github-code | 36 |
25743739281 | __all__ = [
"EBCOTCodec"
]
from copy import deepcopy
from multiprocessing import Pool
import numpy as np
from fpeg.base import Codec
from fpeg.config import read_config
from fpeg.funcs import parse_marker, cat_arrays_2d
config = read_config()
D = config.get("jpeg2000", "D")
G = config.get("jpeg2000", "G")
QCD = co... | yetiansh/fpeg | fpeg/codec/EBCOT_codec.py | EBCOT_codec.py | py | 31,395 | python | en | code | 1 | github-code | 36 |
22349362845 | import tqdm
from tensorboardX import SummaryWriter
import cv2
import numpy as np
import os
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
from models.lbs import batch_rodrigues
from utils import misc
from pytorch3d.io import save_obj
from opt_params import OptParams
def process_visua... | SamsungLabs/NeuralHaircut | src/multiview_optimization/runner.py | runner.py | py | 10,207 | python | en | code | 453 | github-code | 36 |
31556525378 | import copy
import numpy as np
import Applications.general_ci.config as config
import Applications.general_ci.state as state
def one_elec_hamiltonian(state_obj, h_mat, rec_num_states):
#
# h1 = \sum_pq h_pq p+ q
#
# h_pq = Kinetic E + Nuclear Attraction E
#
num_mol = len(rec_num_states)
# print("num spin o... | sskhan67/GPGPU-Programming- | QODE/Applications/component_tests/ccsd/attic/oscillator_ccsd/attic/osc_explicit_state/hamiltonian_operator.py | hamiltonian_operator.py | py | 2,576 | python | en | code | 0 | github-code | 36 |
2654931278 | import matplotlib.pyplot as graph
from usrfuncs import *
from time import *
def desmos(FUNC, X_MIN, X_MAX):
error = 0
if (len(FUNC) != len(X_MIN)) or (len(FUNC) != len(X_MAX)) or (len(X_MIN) != len(X_MAX)):
exit('Недопустимые вводные данные!')
for c in range(len(FUNC)):
t = time()
... | TIIGR/Python_in_SPbAU | funcs_operation/desmos.py | desmos.py | py | 2,541 | python | ru | code | 0 | github-code | 36 |
28566611991 | def get_bed_files(config):
if 'genotype_bed' not in config:
raise ValueError('No genotype_bed in config.')
file_prefix = config['genotype_bed']
files = [ file_prefix + '.' + ss for ss in ['bim', 'bed', 'fam'] ]
command = '--bfile ' + file_prefix
return files, command
def get_parquet_fil... | liangyy/ukb_idp_genetic_arch | preprocessing/subset_genotypes/lib.py | lib.py | py | 797 | python | en | code | 2 | github-code | 36 |
16571425861 | from __future__ import print_function
import re
import sys
from infi.execute import execute_assert_success
import pkg_resources
from ..depends.dependencies import get_dependencies
def run_easy_install(package_name, package):
cmd = "easy_install -U \"{}\"".format(package)
print("Running:", cmd, end=' ')
sy... | Infinidat/infi.pypi_manager | src/infi/pypi_manager/scripts/hard_install.py | hard_install.py | py | 1,658 | python | en | code | 2 | github-code | 36 |
10895202904 | from __future__ import unicode_literals
import six
def python_2_unicode_compatible(klass):
"""
A decorator that defines __unicode__ and __str__ methods under Python 2.
Under Python 3 it does nothing.
To support Python 2 and 3 with a single code base, define a __str__ method
returning text and app... | akloster/table-cleaner | table_cleaner/utils.py | utils.py | py | 1,509 | python | en | code | 0 | github-code | 36 |
13898975323 | import numpy as np
import functools
from functools import total_ordering
import bisect
import matplotlib.pyplot as plt
# Ryan Filgas
# AI Fall 2022
STATESIZE = 8
MAXFITNESS = 28
# Allow for sorting of individuals
@functools.total_ordering
class member:
def __init__(self, fitness, position):
self.fitness,... | rfilgas/ML-AI-CV | AI-Genetic-Algorithm/8-queens.py | 8-queens.py | py | 5,883 | python | en | code | 1 | github-code | 36 |
6527845396 | from django.shortcuts import render,get_object_or_404
from .models import Post,Category
from markdown import markdown
from django.views.generic import ListView
from comment.forms import CommentForm
from django.http import HttpResponse
# def index(request):
# post_list = Post.objects.all()
# return render(requ... | Sunnysunflowers/danjo | blogproject/blog/views.py | views.py | py | 1,581 | python | en | code | 0 | github-code | 36 |
19839810739 | import torch
import torch.nn as nn
def test_reflectionPad(padding):
m = nn.ReflectionPad2d(padding)
input = torch.arange(16, dtype=torch.float).reshape(1, 1, 4, 4)
out = m(input)
return out
if __name__ == '__main__':
print(test_reflectionPad(1))
x = torch.arange(4, dtype=torch.float).reshape... | AnhVietPham/Deep-Learning | DL-Pytorch/padding/main.py | main.py | py | 696 | python | en | code | 0 | github-code | 36 |
4004966963 | #!/usr/local/bin/python
"""
File allowing to create all kind of useful files like saving targets's primers pair in bed file or
save target object into file for example.
"""
import dill
from config import *
def create_fasta_file(targets):
"""
Creates a fasta file containing all sequences of targets
:para... | gloubsi/oncodna_primers_design | code/fileCreation.py | fileCreation.py | py | 3,515 | python | en | code | 0 | github-code | 36 |
34651163338 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
from datetime import datetime
from xml.dom.minidom import Document
from xml.etree import cElementTree as cET
class TagBase:
def __init__(self):
pass
def setTextNode(self, tag, data):
if data != ... | carlos-ferras/Sequence-ToolKit | model/handle_rlf.py | handle_rlf.py | py | 15,117 | python | en | code | 2 | github-code | 36 |
25540391488 | import random
from typing import Container
def generar_contrasena():
MAYUS = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'Ñ', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'X', 'Y', 'Z']
MINUS = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'ñ', 'o', 'p', 'q', 'r',... | MorenoChristian/Curso-Basico-de-Python-Platzi | Proyectos/Generador de Contraseñas/Generador.py | Generador.py | py | 926 | python | es | code | 0 | github-code | 36 |
26079061227 | if __name__ == "__main__":
inp = open("enc").read().strip()
res = ""
for i in inp:
chrval = ord(i)
first_chr = chrval >> 8
second_chr = chrval & 0xff
res += chr(first_chr) + chr(second_chr)
print(res)
| alfredronning/picoCTF | 2021/transformation/solver.py | solver.py | py | 250 | python | en | code | 0 | github-code | 36 |
31860619045 | import numpy as np
from Blackbox import problem_1, problem_2, problem_3
def PSO(func, no_inputs, c1=0.1, c2=0.9, pop_size=300, num_iter=1000, max_count=100, runs=10, seed=2):
np.random.seed(seed) # comment if you want
def cost(a):
if(a.shape[1] == 2):
return func(a[:, 0], a[:, 1])
... | Danny7R/Metaheuristic_Optimization | 3_blackbox_GS_RS_PSO_GA/Particle_Swarm_Optimization.py | Particle_Swarm_Optimization.py | py | 1,618 | python | en | code | 1 | github-code | 36 |
18258292580 | from . import common
class TestIrActionsHelpers(common.TestOdootilCommon):
"""Test class for ir.action helpers."""
@classmethod
def setUpClass(cls):
"""Set up ir.actions helpers data."""
super(TestIrActionsHelpers, cls).setUpClass()
cls.act_partner_xml_id = 'base.action_partner_fo... | focusate/misc | odootil/tests/test_ir_actions_helpers.py | test_ir_actions_helpers.py | py | 6,581 | python | en | code | 1 | github-code | 36 |
2185921772 | import ping3
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.schedulers.base import STATE_RUNNING
import myhome.tgbot
import myhome.core
class Cron:
def __init__(self):
self.presence = True
self.leave_home_count_down = 0
self.leave_home_count_down_max = myhome... | hldh214/myhome | myhome/cron.py | cron.py | py | 3,864 | python | en | code | 0 | github-code | 36 |
10848555614 | from datetime import datetime
from uuid import UUID
import uuid
from fastapi import HTTPException
from starlette.responses import Response
from starlette import status
from http import HTTPStatus
from ..app import app
from ..api.schemas import CreateOrderSchema, GetOrderSchema, GetOrdersSchema, Status
ORDERS = []
o... | BlackJack2021/microservice-api | src/ch02/orders/api/api.py | api.py | py | 3,040 | python | en | code | 0 | github-code | 36 |
38191760011 | """
GIW 2020-21
Práctica 07
Grupo 05
Autores: XX, YY, ZZ,
(Nombres completos de los autores) declaramos que esta solución es fruto exclusivamente
de nuestro trabajo personal. No hemos sido ayudados por ninguna otra persona ni hemos
obtenido la solución de fuentes externas, y tampoco hemos compartido nuestra solu... | dalevale/GIW2020-21 | practica8.py | practica8.py | py | 7,670 | python | es | code | 0 | github-code | 36 |
73198221223 | import functools
import json
import sys
import traceback
from flask import jsonify
import sql_graph
from backend.bq import BackendBQClient
from backend.validation import ValidationError
def _convert_bq_obj_to_rf(obj):
data_dict = json.loads(obj["object_data"])
converted_obj = {
"id": obj["object_id"],
"... | google/grizzly | grizzly_data_lineage/backend/utils.py | utils.py | py | 2,755 | python | en | code | 51 | github-code | 36 |
37750664568 | # coding=utf-8
from global_test_case import GlobalTestCase as TestCase
from subdomains.utils import reverse
from instance.models import WriteItInstance
from ..models import Message
from popit.models import Person
class MessagesPerPersonViewTestCase(TestCase):
def setUp(self):
super(MessagesPerPersonViewTe... | ciudadanointeligente/write-it | nuntium/tests/messages_per_person_view_test.py | messages_per_person_view_test.py | py | 4,401 | python | en | code | 38 | github-code | 36 |
42296323474 | import threading
from typing import ContextManager, Optional
from liquidctl.driver.kraken3 import KrakenX3
from liquidctl.driver.hydro_platinum import HydroPlatinum
from .sensor import Sensor
from .log import LogManager
class AIODeviceSensor(Sensor, ContextManager):
is_valid: bool
device: Optional[any]
... | maclarsson/cfancontrol | cfancontrol/devicesensor.py | devicesensor.py | py | 4,944 | python | en | code | 3 | github-code | 36 |
8605383597 | #!/bin/python
import math
import os
import random
import re
import sys
# Complete the sockMerchant function below.
def sockMerchant(n, ar):
pairs = {}
for i in ar:
if i in pairs:
pairs[i]+=1
else:
pairs[i]=1
result = 0
for i in pairs.values():
res... | AyazRahman/HackerRank | Interview Prep Kit/Sock Merchant/sol.py | sol.py | py | 587 | python | en | code | 0 | github-code | 36 |
5030099218 | # Desenvolva uma lógica que leia o peso e a altura de uma pessoa, calcule seu Índice de
# Massa Corporal (IMC) e mostre seu status, de acordo com a tabela abaixo:
# - IMC abaixo de 18,5: Abaixo do Peso
# - Entre 18,5 e 25: Peso Ideal
# - 25 até 30: Sobrepeso
# - 30 até 40: Obesidade
# - Acima de 40: Obesidade Mórbida... | hdtorrad/Estudos-Python3 | Só exercícios/ex043-IMC.py | ex043-IMC.py | py | 981 | python | pt | code | 1 | github-code | 36 |
31113875208 | """
The main script that serves as the entry-point for all kinds of training experiments.
"""
from __future__ import annotations
import logging
from functools import partial
from typing import TYPE_CHECKING, Any, Callable, Mapping, Optional, Sequence, Tuple, Union, cast
import torch
from al.core.data.collators impo... | saifullah3396/doc_al | src/al/core/training/waal_trainer.py | waal_trainer.py | py | 18,690 | python | en | code | 0 | github-code | 36 |
37068047547 | from django.shortcuts import render,HttpResponseRedirect,reverse,redirect
from django.contrib.auth import authenticate,login,logout
from .forms import login_form,addressform
from .models import guestuser
# Create your views here.
def user_login(request):
if request.method=='POST':
loginform=login_form(requ... | MohamedHany2002/online-shop | account/views.py | views.py | py | 2,121 | python | en | code | 0 | github-code | 36 |
41472328146 | # Import Pickle Module
import pickle
# Open the pickle file for Write Byte Mode
pickle_file = open(
"E:\\Python\\Code\\Tutorial\\Pickling\\PickleFile.txt", "wb")
# A Dictionary
my_dict = {
"Name": "Shilajit Acharjee",
"Roll": 16500120028,
"Dept": "Computer Science & Engineering"
}
# Store the diction... | Shilajit2002/Python | Tutorial/Pickling/Pickling.py | Pickling.py | py | 602 | python | en | code | 0 | github-code | 36 |
1808652 | def read_wd_graph(edge_number):
graph = {}
for i in range(edge_number):
v1, v2, w = list(map(str, input().split()))
w = int(w)
graph[v1] = [(v2, w)] + graph.get(v1, [])
return graph
e = int(input())
my_graph = read_wd_graph(e)
print(my_graph)
| andrewsonin/4sem_fin_test | _02_read_weighted_directed_graph.py | _02_read_weighted_directed_graph.py | py | 291 | python | en | code | 0 | github-code | 36 |
69844963625 | import cv2
from tensorflow.keras.models import load_model
from keras_preprocessing import image
import numpy as np
import cv2
from pygame import mixer
import os
IMG_SIZE = 250
song_iter = 0
start_flag = False
next_flag = True
model = load_model('C:/Users/ANUJ/Desktop/gesture-recognition/model/gesture_model.h5')
... | anuj1501/Gesture-music-controller | src_files/tester.py | tester.py | py | 2,854 | python | en | code | 0 | github-code | 36 |
1020567975 | # *********************************************************************************************************************
# league_of_legends_api.py
# import cogs.helper.api.league_of_legends_api as lol_api
# *****************************************************************************************************************... | nartgnoh/BeeBot.py | cogs/helper/api/league_of_legends_api.py | league_of_legends_api.py | py | 2,024 | python | en | code | 0 | github-code | 36 |
33324441730 | import numpy as np
import time
class OptimModel:
def __init__(self, f, grad_f, disable_progressbar=True):
self.f = f
self.grad_f = grad_f
self.times = []
self.f_vals = []
self.zero_time = None
self.disable_progressbar = disable_progressbar
def init_time(self):
... | PierreBoyeau/optim_illustrations | image_reconstruction/optim_mdl.py | optim_mdl.py | py | 734 | python | en | code | 0 | github-code | 36 |
12451384199 | n = int(input())
i = 0
animals = {
"C": 0,
"R": 0,
"S": 0
}
while i < n:
inp = input().split(" ")
quantity = int(inp[0])
animal = inp[1]
animals[animal] += quantity
i += 1
total = 0
for t in animals:
total += int(animals[t])
print(f"Total: {total} cobaias")
print(f"Total de coel... | sergipe085/beecrowd-solutions | lista_4/experiments_1094.py | experiments_1094.py | py | 612 | python | en | code | 0 | github-code | 36 |
3969690299 | # Este programa coge un string y le pone raya al piso
# alrededor de cada caracter. Por ejemplo:
# Python --> _P_y_t_h_o_n_
def add_underscores(word):
new_word = "_"
for i in range(len(word)):
# Original: new_word = word[i] + "_"
new_word = new_word + word[i] + "_" # arreglado
return new_wo... | jbbenavidesr/curso-python-prea | Clase7/buggy.py | buggy.py | py | 604 | python | es | code | 0 | github-code | 36 |
1144916079 | #!/usr/bin/env python3
import database
with open('zonefile') as f:
zone_file = f.readlines()
db, cursor = database.get_mysql_db_cursor()
for domain in zone_file:
sql = "INSERT INTO " + database.database + ".domains " \
"(domain, created_at) " \
"VALUES (%s, NOW())"
... | jwindelborg/aau-security | knas/db_loader.py | db_loader.py | py | 419 | python | en | code | 0 | github-code | 36 |
17448094011 | from lumicube.standard_library import *
import opensimplex
# Enter the address or hostname of your lumicube
cube = None
if isRunningOnCube():
# connect locally if running locally
cube = LumiCube();
else:
# connect to my remote cube if not running locally (eg from my Mac)
cube = LumiCube("cube.local")... | paultough/lumicube | lava.py | lava.py | py | 1,210 | python | en | code | 0 | github-code | 36 |
24711363173 | # KLIB - variables
# wykys 2021
from pathlib import Path
PATH_KLIB = f'{Path.home()}/projects/klib'
PATH_KICAD = '/usr/share/kicad-nightly'
PATH_KICAD_CONFIG = f'{Path.home()}/.config/kicad/6.99'
PATH_KICAD_COMMON = f'{PATH_KICAD_CONFIG}/kicad_common.json'
PATH_FP_LIB_TABLE = f'{PATH_KICAD_CONFIG}/fp-lib-table'
PATH_... | wykys/klib | scripts/klib_vars.py | klib_vars.py | py | 1,892 | python | en | code | 5 | github-code | 36 |
70222738664 | import telebot
from telebot import types
import sqlite3
bot = telebot.TeleBot('1835870307:AAHlXuytmI_rtPbjNLj3PzBU3oaeGe7yboY')
# Получение списка администраторов
def get_administrators():
list = []
for i in get_db_connection().execute('SELECT * FROM administrators').fetchall():
list.append(i[1])
... | bygimen01/SerhiiBot | bot.py | bot.py | py | 24,230 | python | ru | code | 0 | github-code | 36 |
24477186 | import sys
input = sys.stdin.readline
def find(n):
if n != node[n]:
node[n] = find(node[n])
return node[n]
return n
def union(a, b):
parent = find(a)
child = find(b)
if parent>child: parent, child = child, parent
if parent != child:
node[child] = parent
return T... | kmgyu/baekJoonPractice | Amazing Platinum/graph/행성 터널.py | 행성 터널.py | py | 723 | python | en | code | 0 | github-code | 36 |
41978072202 | import time
from flask import Blueprint, jsonify, request
import requests
import part2.health_check as health_check
from dbBrokerManager.config import async_session, engine, BaseBroker
from dbBrokerManager.AsyncDAL import DAL
import datetime
import asyncio
server = Blueprint("broker_manager_Read_Only", __name__)
brok... | DistributedSystemsGroup-IITKGP/Assignment-2 | BrokerManagerReadOnly.py | BrokerManagerReadOnly.py | py | 7,333 | python | en | code | 1 | github-code | 36 |
26665766366 | from metrics import *
import numpy as np
import pandas as pd
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.utils.vis_utils import plot_model
from keras.utils import to_categorical
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics impor... | hpabst/CS680Project | src/utils.py | utils.py | py | 7,487 | python | en | code | 0 | github-code | 36 |
42903865352 | import glob
import cv2 as cv
method = cv.TM_SQDIFF_NORMED
# Path / Threshold # Thresholds were set manually, by careful examination of examples
template_blue_locks = ([img for img in glob.glob("./templates_heist/blue_lock/*.png")],0.05)
template_blue_keys = ([img for img in glob.glob("./templates_heist/blue_key/*... | neuroevolution-ai/ProcgenAutoencoder | data_generation/balance_data.py | balance_data.py | py | 3,236 | python | en | code | 1 | github-code | 36 |
3266365657 | # forms.py
from django import forms
from .models import Mensaje, Conversacion
from django.contrib.auth.models import User
class MensajeForm(forms.ModelForm):
class Meta:
model = Mensaje
fields = ('contenido',)
class EnviarMensajeForm(forms.Form):
contenido = forms.CharField(label="Mensaje", wid... | arielgodoy/EntregafinalPython-Agodoy | chat/forms.py | forms.py | py | 863 | python | es | code | 0 | github-code | 36 |
16823303848 | from uuid import uuid4
def randId():
return uuid4().hex
def loggedIn(session, LoggedIn):
if ('user' in session) and (session['user'] is not None):
userLoggedIn = LoggedIn.query.filter_by(rand_id=str(session['user'])).first()
if userLoggedIn:
return userLoggedIn.username
ret... | billz96/Pycourses | helpers.py | helpers.py | py | 669 | python | en | code | 3 | github-code | 36 |
23294451309 | import random as r
print("Let's start! -> ok/no")
start = input('>>>')
if start == 'ok':
def number_find(n):
x = r.randint(1,n) # Number is thought by Computer
print(f"I thought a from {1} to {n} number try to find")
i = 0 # Attemp(s)
while True:
i += 1
... | yeldashbaev1/simple_game | main.py | main.py | py | 1,872 | python | en | code | 1 | github-code | 36 |
20244314041 | #!/usr/bin/env python
# Download individual checksum files for Electron zip files from S3,
# concatenate them, and upload to GitHub.
from __future__ import print_function
import argparse
import sys
from lib.config import s3_config
from lib.util import boto_path_dirs
sys.path.extend(boto_path_dirs())
from boto.s3.c... | brave/muon | script/merge-electron-checksums.py | merge-electron-checksums.py | py | 1,189 | python | en | code | 970 | github-code | 36 |
17250898175 | import numpy as np
import pandas as pd
import os
import sys
np.random.seed(0)
X_train_fpath = sys.argv[3] #'./X_train'
Y_train_fpath = sys.argv[4] #'./Y_train'
X_test_fpath = sys.argv[5] #'./X_test'
output_fpath = sys.argv[6] #'./output.csv'
with open(X_train_fpath) as f:
next(f)
X_train = np.array(... | Peter870512/ML_2020Spring | HW2/hw2_best_train.py | hw2_best_train.py | py | 8,539 | python | en | code | 0 | github-code | 36 |
24011947026 | # --------------------------------------------------------
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import torch
from torch import nn
import numpy as np
from core.utils import *
import torch.nn.functional as F
from torch.distributions import N... | liruiw/HCG | core/networks.py | networks.py | py | 11,936 | python | en | code | 13 | github-code | 36 |
10178404139 | import logging
import multiprocessing
import random
import signal
import sys
import time
import traceback
from typing import Callable, Dict, List, Optional
from pebble import ProcessPool, sighandler
from .client import Client
from .util import constants as C
from .util import helper
from .util.enums import State
cl... | ghilesmeddour/faktory_worker_python | src/pyfaktory/consumer.py | consumer.py | py | 9,583 | python | en | code | 11 | github-code | 36 |
40094265357 | def hn(a):
sum=0
while a>0:
rem=a%10
sum=sum+rem
a=a//10
return sum
a=int(input())
sum=hn(a)
if a%sum==0:
print("True")
else:
print("False") | YAMINISARIKI/codemind-python | Harshed_number.py | Harshed_number.py | py | 184 | python | en | code | 0 | github-code | 36 |
40713013689 | from datetime import datetime
import pytz
import requests
from config import NO_IMG_URL, TIMEZONE
def convert_timezone(
time=None, format="%Y-%m-%dT%H:%M:%SZ", ori_timezone=None, desire_timezone=TIMEZONE
):
date_time = datetime.strptime(time, "%Y-%m-%dT%H:%M:%SZ")
ori_timezone = pytz.timezone(ori_timezo... | timho102003/newsfriend | util.py | util.py | py | 689 | python | en | code | 0 | github-code | 36 |
14824615177 | from pathlib import Path
import csv
import random
from faker import Faker
fake=Faker()
p = Path('.')
# Find all files in folder
fileslist=list(p.glob('**/*.csv'))
# Set the folder for the anonymized files
outfolder = 'anon'
for file in fileslist:
randid=random.randint(10000,99999)
randid2=random.randint(10... | carluri/pythonscripts | anonymize_csv.py | anonymize_csv.py | py | 994 | python | en | code | 0 | github-code | 36 |
31803456709 | # /usr/bin/python3.6
# -*- coding:utf-8 -*-
import heapq
class Solution(object):
def minCost(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
heap = [[0,[0, 0]]]
row = len(grid)
col = len(grid[0])
m = {1 : [0, 1],
2: [0, -1],
... | bobcaoge/my-code | python/leetcode/5347_Minimum_Cost_to_Make_at_Least_One_Valid_Path_in_a_Grid.py | 5347_Minimum_Cost_to_Make_at_Least_One_Valid_Path_in_a_Grid.py | py | 1,160 | python | en | code | 0 | github-code | 36 |
40395330066 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
# Data preprocessing
data = pd.read_csv("data.csv")
# Converting Pandas dataframe to numpy array
X = data.x.values.reshape(-1, 1)
Y = data.y.values.reshape(-1, 1)
# Add bias
m = X.shape[0] # sampl... | arnakoguzhan/machine-learning | 3-polynomial-regression/plr_from_scratch_GD.py | plr_from_scratch_GD.py | py | 2,424 | python | en | code | 0 | github-code | 36 |
72784702823 | #Import Module
import random
from hangman_words import word_list
chosen_word = random.choice(word_list)
word_length = len(chosen_word)
lives = 6
from hangman_ascii import logo, stages
print(logo)
print(f"the choosen word is {chosen_word}")
#Making blanks display
display = []
for _ in range(word_length):
... | Jotripa/small_project | hangman/hangman.py | hangman.py | py | 1,355 | python | en | code | 1 | github-code | 36 |
43194853510 | import torch
from HDGCN import HDGCN
from utils import DatasetLoader, accuracy
from torch.utils.data import DataLoader
from adabelief_pytorch import AdaBelief
import torch.nn.functional as F
#
# Settings.
#
torch.cuda.set_device(4)
learning_rate = 0.001
device = torch.device("cuda" if torch.cuda.is_avail... | MathIsAll/HDGCN-pytorch | main.py | main.py | py | 3,791 | python | en | code | 5 | github-code | 36 |
24257124225 | # Program prints a user-input list separated by commas and a final "and".
def enum(list):
a = ''
for i in list[:-1]:
a = a + i + ', '
a = a + 'and ' + list[-1]
return a
sampleList = []
while True:
print('Enter list item ' + str(len(sampleList) + 1) +
' (Or enter nothing t... | mstykow/commacode | commacode.py | commacode.py | py | 527 | python | en | code | 0 | github-code | 36 |
36328275962 | class Car:
def __init__(self, color, kind, brand, year):
self.color = color
self.kind = kind
self.brand = brand
self.year = year
def whatCar(self):
print("This car is a " + self.color + " " + self.year + " " + self.brand + ".")
def carPrice(self):
if (self.brand == "Mercedes-Benz"):
price = 5000... | sorrykhari/random-python-practice | Car.py | Car.py | py | 757 | python | en | code | 0 | github-code | 36 |
20621567775 | # --------------
import numpy as np
import warnings
warnings.filterwarnings('ignore')
import sys
import csv
# Command to display all the columns of a numpy array
np.set_printoptions(threshold=sys.maxsize)
# Load the data. Data is already given to you in variable `path`
sales_data=np.genfromtxt(path,delimiter=',',skip... | hn1201/manipulating-data-with-numpy | code.py | code.py | py | 2,075 | python | en | code | 0 | github-code | 36 |
36236100422 | from django.shortcuts import render
from django.http import *
from django.contrib.auth import authenticate, login, logout
from django.urls import reverse
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
# Create your views here.
# from d... | hrsh-4/blood-bank | bank/views.py | views.py | py | 7,332 | python | en | code | 0 | github-code | 36 |
3962898112 | #Dijkstra's Algorithm with D-ary Heap
INF = 1000000
class heap_node:
def __init__(self, name, distance):
self.name = name #jayi ke hastim
self.distance = distance #fasele ash ta start
def size(heap):
return len(heap)
def heap_parent(i, d):
return (i-1) // d
def heap_chi... | pardisbasiri/Dijkstra-s-Algorithm-with-D-ary-Heap | Dijkstra.py | Dijkstra.py | py | 3,667 | python | en | code | 0 | github-code | 36 |
31474695571 | # encoding: utf-8
"""
Core
"""
import json
import pytz
from typing import Any, Dict
from base64 import b64decode
from datetime import datetime
from google.cloud import datastore
from jsonschema import validate
from jsonschema.exceptions import ValidationError, SchemaError
import config
import log
def current_dateti... | rogerjestefani/schema-publish | src/core.py | core.py | py | 2,605 | python | en | code | 0 | github-code | 36 |
27943726192 | import os, sys, statistics as stats
tags = []
#Outliner v1.0
#Copyright Richard Gustafsson
#Release: Oct 15 2019
def spc(i=1337):
if i != 1337:
print(i)
print("")
if os.path.isfile("tags.txt"):
with open("tags.txt") as file:
tags = [line.strip() for line in file]
print("Tags loaded:")
for index in range(... | Weeaboo420/pythonCollection | Outliner/outliner.py | outliner.py | py | 2,263 | python | en | code | 0 | github-code | 36 |
18824548340 | import weibull
# the current run time of the test or the
# time that the test was suspended completely
current_run_time = 4200.0
fail_times = [current_run_time] * 10
fail_times[7] = 1034.5
fail_times[8] = 2550.9
fail_times[6] = 3043.4
suspended = [True, True, True, True, True,
False, False, False, True,... | slightlynybbled/weibull_orig | examples/weibull_fit_censored.py | weibull_fit_censored.py | py | 847 | python | en | code | null | github-code | 36 |
30181281709 | """Deep Q learning graph with action masks
The functions in this file can are used to create the following functions:
======= act ========
Function to chose an action given an observation
Parameters
----------
observation: object
Observation that can be feed into the output of make_obs_ph
... | RodrigoToroIcarte/reward_machines | reward_machines/rl_agents/dhrm/build_graph.py | build_graph.py | py | 12,350 | python | en | code | 49 | github-code | 36 |
29612502663 | import unittest
from tree import TreeNode, build_tree
from checkIdenticalTree import checkIdenticalTree, checkIdenticalTree_iter
class CheckIdenticalTreeTestCase(unittest.TestCase):
def test_identical_tree(self):
test_in = [1,2,3,4,5]
t1 = build_tree(test_in)
t2 = build_tree(test_in)
... | jungwook-lee/coding-practice | tree/test_checkIdenticalTree.py | test_checkIdenticalTree.py | py | 1,417 | python | en | code | 0 | github-code | 36 |
29767005499 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('qsource_user', '0005_auto_20151118_2237'),
]
operations = [
migrations.CreateModel(
name='QuestionsAnswered',
... | SamuelWenninger/QSource-app | qsource_user/migrations/0006_questionsanswered_questionsasked.py | 0006_questionsanswered_questionsasked.py | py | 971 | python | en | code | 0 | github-code | 36 |
72743725223 | import os
import pandas as pd
import numpy as np
import os
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from sklearn.pipeline import make_pipeline, Pipeline
import platform
import sys
import sklearn
import tensorflow as tf
file_path = 'H:/Study/Hackarthon/dacon/shopping/dataset/dataset'
... | KMLEE1989/Study | Dacon/shopping/shopping_1.py | shopping_1.py | py | 4,021 | python | en | code | 0 | github-code | 36 |
32923615588 | import torch
import json
speakers = torch.load('../models/vits_ca/speakers.pth')
print(type(speakers))
conv = [line.strip().split(',') for line in open('speakers_conversion.csv').readlines()]
new_speakers = {}
for source, target in conv:
id = speakers.get(source)
if id:
new_speakers[target] = source
wi... | projecte-aina/tts-api | scripts/change_model.py | change_model.py | py | 414 | python | en | code | 7 | github-code | 36 |
30647902648 | #!/usr/bin/python3
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(-10,10,100) # 创建一个包含-10到10之间100个等距点的数组作为x坐标
y= x ** 2 # 计算y坐标
plt.plot(x, y) # 绘制曲线
plt.xlabel('x') # 设置x轴标签
plt.xlabel('y') # 设置y轴标签
plt.title('y = x^2') # 设置图标题
plt.grid(True) # 显示网格线
plt .show() #显示图形 | Hsurpass/ElegantTest | test_python/python3/test_matplot/x_square.py | x_square.py | py | 397 | python | zh | code | 0 | github-code | 36 |
25809988661 | #!/usr/bin/env python3
import multiprocessing
import time
import os
from src.model.load_json import load_json_to_dict
from src.model.load_script import load_script_file
from src.model.shunt import Shunt
from src.tools.engine.code.github.clone import CodeClone
from src.tools.log4py.log4py import print_log
from src.too... | MongoliaCavalry/BronzeMan | main.py | main.py | py | 2,464 | python | en | code | 0 | github-code | 36 |
25236981098 | ''' Has two pointers for the rear and front'''
class CircularQueue:
def __init__(self, max_size):
self.items = max_size * [None]
self.max_size = max_size
self.rear = -1
self.front = -1
def __str__(self) -> str:
return ' '.join([ str(item) for item in self.items ])
... | dukelester/geek_for_geek_DSA | circular_queue.py | circular_queue.py | py | 580 | python | en | code | 0 | github-code | 36 |
8128511000 | #Run old_indexer first!
import sys
import whoosh.index as index
import whoosh.qparser as qparser
from whoosh.searching import Searcher
correct = 0
queries = 0
#Opens index
ix = index.open_dir("oldIndex")
#Opens test file
with open(sys.argv[1], 'r') as f:
while True:
#Reads next query/u... | gale2307/Jarvis | old_ir_tester.py | old_ir_tester.py | py | 1,596 | python | en | code | 1 | github-code | 36 |
31256076584 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed u... | nerdicbynature/ospurge | ospurge/tests/resources/test_cinder.py | test_cinder.py | py | 4,466 | python | en | code | 1 | github-code | 36 |
11565107048 |
import morse, keras
import numpy as np
from scipy import signal
channels = 1
samples_per_sec = 100
max_seconds = 5
max_samples = max_seconds * samples_per_sec
trans_seconds = 5
trans_samples = trans_seconds * samples_per_sec
latent_dim = 100
TOKENS = "$^0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ "
num_decoder_tokens = len(... | sehugg/cwkeras | cwmodel.py | cwmodel.py | py | 10,643 | python | en | code | 1 | github-code | 36 |
31471559038 | import itertools
import operator
import re
import dataclasses
from dataclasses import dataclass, field
from typing import List, Tuple, Iterable, Dict, Optional, Set
from robotoff import settings
from robotoff.ml.langid import DEFAULT_LANGUAGE_IDENTIFIER, LanguageIdentifier
from robotoff.products import ProductDataset... | alexouille123/robotoff | robotoff/ingredients.py | ingredients.py | py | 13,629 | python | en | code | null | github-code | 36 |
28775797055 | from src import source_kitten
from helpers import path_helper
from helpers import file_contents_helper
import unittest
import time
class TestSourceKitten(unittest.TestCase):
# Here we test (within the "Monkey" example) that
#
# print("Eating the \(banana.
# ^
# comes up wi... | Dan2552/SublimeTextSwiftAutocomplete | test/source_kitten_test.py | source_kitten_test.py | py | 6,325 | python | en | code | 155 | github-code | 36 |
25162153371 | import json
import logging
import os
import requests
import uuid
from typing import Dict
LOGGER = logging.getLogger(__name__)
LOGGER.setLevel(logging.INFO)
class TestGCWebhook:
def setup(self):
self.tenant = os.getenv("TENANT", "rapha")
self.stage = os.getenv("STAGE", "x")
self.base_u... | NewStore/int-cinori | integrations/adyen_gift_card/tests/integration/test_gc_api.py | test_gc_api.py | py | 1,692 | python | en | code | 0 | github-code | 36 |
38221038133 | from itertools import permutations
def is_Prime(number):
if number == 1 or number == 0:
return False
for i in range(2, int(number ** 0.5) + 1):
if number % i == 0:
return False
return True
def solution(numbers):
answer = set()
number = list(map(str, numbers))
comb_n... | kh-min7/Programmers | 42839(소수 찾기).py | 42839(소수 찾기).py | py | 597 | python | en | code | 0 | github-code | 36 |
74105448422 | #!/usr/bin/env python3
"""Convert font to images of letters."""
import sys
import os
from PIL import Image, ImageFont, ImageDraw
LETTER_SIZE = 60
try:
font_file = sys.argv[1]
output_folder = sys.argv[2]
except IndexError:
sys.stderr.write("Usage: {} [ttf file] [output folder]\n".format(sys.argv[0]))
s... | kirilenkobm/floating_letters | font_to_letters.py | font_to_letters.py | py | 1,280 | python | en | code | 2 | github-code | 36 |
31149579423 | def Euclide(a, b):
# return (x1, x2, x3)
# With x1 PGCD(a,b)
# x2 first bezout coef
# x3 second bezout coef
(a, u0, v0, b, u1, v1) = (a, 1, 0, b, 0, 1)
while b != 0:
(a_pred, u0_pred, v0_pred, b_pred, u1_pred, v1_pred) = (a, u0, v0, b, u1, v1)
q = int(a // b)
a = b_pred
u0 = u1_pred
v0 = v1_pred
b =... | GuiMarion/Cryptography | q7.py | q7.py | py | 1,023 | python | en | code | 0 | github-code | 36 |
21505751947 | import tkinter as tk
from tkinter import ttk
class ToolbarWidget:
def _bind_hovers(self):
self.default_background = self['background']
self.config(relief=tk.FLAT, bd=0, activebackground="#d8e6f2")
self.bind("<Enter>", self.on_enter)
self.bind("<Leave>", self.on_leave)
def on_en... | amsdc/gurutracker-college | gurutracker/views/widgets.py | widgets.py | py | 2,461 | python | en | code | 1 | github-code | 36 |
39637785711 | import constants
from game.casting.actor import Actor
from game.scripting.action import Action
from game.shared.point import Point
class HandleCollisionsAction(Action):
"""
An update action that handles interactions between the actors.
The responsibility of HandleCollisionsAction is to handle the situ... | rich20053/cse210-frogger | game/scripting/handle_collisions_action.py | handle_collisions_action.py | py | 5,103 | python | en | code | 0 | github-code | 36 |
8806894100 | import requests
## HTTP GET Request
req = requests.get('https://beomi.github.io/beomi.github.io_old/')
## HTML 소스 가져오기
html = req.text
## HTTP Header 가져오기
header = req.headers
## HTTP Status 가져오기 (200: 정상)
status = req.status_code
## HTTP가 정상적으로 되었는지 (True/False)
is_ok = req.ok
print(html)
print(header)
print(status... | astinaus/python_study | crawler/requests_test.py | requests_test.py | py | 386 | python | ko | code | 1 | github-code | 36 |
21160011627 | import matplotlib.pyplot as plt
import networkx as nx
from queue import PriorityQueue
import time
start_time = time.time()
G = nx.Graph()
file = open("data.csv",'r')
lines = file.readlines()
edges = []
for row in range(0,len(lines[0:]),2):
header = lines[row]
header = header[:len(header)-1].split(',')
... | UsamaA99/Krus-Prim | primsAlgo.py | primsAlgo.py | py | 3,164 | python | en | code | 0 | github-code | 36 |
31804715629 | # /usr/bin/python3.6
# -*- coding:utf-8 -*-
class Solution(object):
def compress(self, chars):
"""
:type chars: List[str]
:rtype: int
"""
length = len(chars)
if length <= 1:
return length
last = 0
old = chars[0]
i = 1
whil... | bobcaoge/my-code | python/leetcode_bak/443_String_Compression.py | 443_String_Compression.py | py | 1,443 | python | en | code | 0 | github-code | 36 |
12323060348 | def bubbleSort(arr):
n = len(arr)
# Traverse through all array elements
for i in range(n):
# Last i elements are already in place
for j in range(0, n-i-1):
# traverse the array from 0 to n-i-1
# Swap if the element found is greater
# than the next el... | bitprj/curriculum | Data-Structures-and-Algos-Topic/Module2-Intermediate-Data-Structures/Lab7_Zoologist/Student Starter/Checkpoint/checkpoint3_ans.py | checkpoint3_ans.py | py | 1,569 | python | en | code | 52 | github-code | 36 |
17455031519 | #!/usr/bin/env python
#
# Author: Greg Hellings - <ghelling@redhat.com> or <greg.hellings@gmail.com>
#
# Module to configure users in Jenkins authorized to use CLI
import xml.etree.ElementTree as ET
import os
from ansible.module_utils.basic import AnsibleModule
DOCUMENTATION = """
---
version_added: "2.1"
module: jen... | devroles/ansible_collection_system | plugins/modules/jenkins_cli_user.py | jenkins_cli_user.py | py | 3,843 | python | en | code | 3 | github-code | 36 |
22247301648 | import sys
import numpy as np
import matplotlib.pyplot as plt
fname = sys.argv[1] # get filename from argument
samples = []
for s in sys.argv[2:len(sys.argv)]:
samples.append(s)
data = open(fname, "r") # Open file from BMG (export as table) and store in a list
file_stored = []
for i in data:
file_stored.appen... | Brad0440/BioTools | BMG_Plot.py | BMG_Plot.py | py | 2,496 | python | en | code | 0 | github-code | 36 |
11311047474 | #!/usr/bin/env python
import npyscreen
import curses
class ActionControllerSearch(npyscreen.ActionControllerSimple):
def create(self):
self.add_action('^/.*', self.set_search, True)
def set_search(self, command_line, widget_proxy, live):
self.parent.value.set_filter(command_line[1:])
... | npcole/npyscreen | EXAMPLE-muttactivetraditional.py | EXAMPLE-muttactivetraditional.py | py | 878 | python | en | code | 436 | github-code | 36 |
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