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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
75118121702 | """
Objet Contact représentant un contact de l'Annuaire
Author: Tristan Colombo <tristan@gnulinuxmag.com>
(@TristanColombo)
Date: 17-12-2015
Last modification: 17-12-2015
Licence: GNU GPL v3 (voir fichier gpl_v3.txt joint)
"""
import sqlite3
import pystache
import o... | GLMF/GLMF190 | Dev/interface_CLI/etape_2/Contact.py | Contact.py | py | 4,342 | python | en | code | 0 | github-code | 36 |
33529817847 | from tkinter import *
import tkinter.messagebox as msg
import random
import os
n1 = random.randint(0, 9999999999999)
n2 = random.randint(0, 1000)
def file_clearer():
main_folder_clear = open('Mainfoldernames.txt', 'w')
main_folder_clear.write('')
main_folder_clear.close()
sub_folder_clear = open('Sub... | ravisharma87/Python-prohjects | folder maker path version.pyw | folder maker path version.pyw | pyw | 4,740 | python | en | code | 1 | github-code | 36 |
23507472501 | # implementing pymoo multi-objective optimization with FEniCS FEA objectives
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.offsetbox import TextArea, DrawingArea, OffsetImage, AnnotationBbox
import pathlib
from pathlib import Path
from pymoo.core.problem import ElementwiseProblem
from pymoo.algor... | grohalex/Project2023 | Python/main.py | main.py | py | 7,557 | python | en | code | 0 | github-code | 36 |
39047349636 | '''Tests for the classification module.'''
import pytest
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset, DataLoader
from sklearn.model_selection import train_test_split
from torchutils.classification import Classification
@pytest.fixture(params=[1, 10])
def data_num_features(request):... | joseph-nagel/torchutils | tests/test_classification.py | test_classification.py | py | 2,598 | python | en | code | 0 | github-code | 36 |
14484717443 | import cv2 as cv
import numpy as np
left_window = 'Task 4 - left'
right_window = 'Task 4 - right'
# create window for left camera
cv.namedWindow(left_window)
# create window for right camera
cv.namedWindow(right_window)
# read in imagaes
img_l = cv.imread('imgs/combinedCalibrate/aL09.bmp')
img_r = cv.imread('imgs... | mjhaskell/EE_631 | HW3/task4.py | task4.py | py | 1,954 | python | en | code | 0 | github-code | 36 |
6380032523 | from functools import partial
import chex
import jax
import numpy as np
import numpy.testing as npt
from absl.testing import parameterized
from tessellate_ipu import tile_map, tile_put_replicated
from tessellate_ipu.lax import scatter_add_p, scatter_max_p, scatter_mul_p, scatter_p
class IpuTilePrimitivesLaxScater(c... | graphcore-research/tessellate-ipu | tests/lax/test_tile_lax_scatter.py | test_tile_lax_scatter.py | py | 2,847 | python | en | code | 10 | github-code | 36 |
28799587509 | import json
import os
import pickle
import numpy as np
from pprint import pprint
winningRuns, losingRuns, cards, relics, X, Y = None, None, None, None, None, None
cwd = os.path.dirname(__file__)
pathToData = os.path.join(cwd, '..', 'Data')
#Parses the wins and loses from the dump file
def loadFromFile(winsPath, ... | kenttorell/MLFinal_StS | Code/LoadData.py | LoadData.py | py | 4,299 | python | en | code | 0 | github-code | 36 |
73495691624 | import pygame as pg
import ChessEngine
import os
from itertools import cycle
from copy import deepcopy
pg.init()
pg.mixer.init()
ROOT_DIR = os.path.dirname(__file__)
IMAGE_DIR = os.path.join(ROOT_DIR, 'images')
WIDTH = HEIGHT = 512
DIMENSION = 8
SQ_SIZE = HEIGHT // 8
MAX_FPS = 15
IMAGES = {}
WHITE = (215,215,215)
BLAC... | GracjanPW/Chess | Chess/ChessMain.py | ChessMain.py | py | 4,586 | python | en | code | 0 | github-code | 36 |
12365024277 | from conv_net.networks.net3 import Network as Net3
from conv_net.networks.net7 import Network as Net7
from conv_net import deep
from read_files import Dataset
from conv_net.utils import log
from conv_net.crossval import crossvalidation
import csv
if __name__ == "__main__":
log("Reading dataset. ")
size = 30000... | gozmo/diabetes | diabetes_make_submission.py | diabetes_make_submission.py | py | 1,087 | python | en | code | 0 | github-code | 36 |
16775198576 | from rest_framework.decorators import api_view, permission_classes
from rest_framework import generics
from lembaga.models import Lembaga, Institusi, Tema
from lembaga.serializers import LembagaSerializer, InstitusiSerializer, TemaSerializer
from rest_framework.permissions import AllowAny
from rest_framework.response i... | ferenica/sipraktikum-backend | lembaga/views.py | views.py | py | 2,986 | python | en | code | 0 | github-code | 36 |
20888932352 | def percentage(num_line, den_line):
num_parts = num_line.split(',')
den_parts = den_line.split(',')
#print den_parts[0] + ' , ' + num_parts[0]
return 100 * float(num_parts[0]) / float(den_parts[0])
# Open the data files
f = open('perf.data', 'r')
cf = open('cache-miss-percentage.data', 'w')
bf = ope... | bufas/ae14 | h2/bench/test.py | test.py | py | 1,598 | python | en | code | 0 | github-code | 36 |
73118929704 | import os
import tempfile
class WrapStrToFile:
def __init__(self):
# здесь инициализируется атрибут filepath, он содержит путь до файла-хранилища
self._filepath = tempfile.mktemp()
print(self._filepath)
@property
def content(self):
try:
with open(self._filepath... | IlyaOrlov/PythonCourse2.0_September23 | Practice/mtroshin/Lecture_7/3.py | 3.py | py | 1,099 | python | ru | code | 2 | github-code | 36 |
3023655025 | import os
from PIL import Image
import PIL.ImageOps
import argparse
import torchvision as V
import matplotlib.pyplot as plt
import ujson as json
import glob
import re
from . import configs
import rich
from rich.progress import track
console = rich.get_console()
def cifar10_burst(dest: str, split: str):
assert(spli... | cdluminate/MyNotes | rs/2022-veccls/veccls/cifar10.py | cifar10.py | py | 1,809 | python | en | code | 0 | github-code | 36 |
43131754181 | from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor,as_completed,wait
from concurrent import futures
import time
import requests
# 官方文档：https://docs.python.org/zh-cn/3.8/library/concurrent.futures.html#module-concurrent.futures
urls = ['http://www.tencent.com','http://www.google.com/','http://www.ku... | melody27/python_script | thread_process_futures/concurrent.futures_test.py | concurrent.futures_test.py | py | 2,510 | python | zh | code | 0 | github-code | 36 |
38684672986 | # These URLs basically points to MIT's conceptnet5 setup for Web API
# BASE_LOOKUP_URL = 'http://api.conceptnet.io'
# BASE_SEARCH_URL = 'http://api.conceptnet.io/query'
# BASE_ASSOCIATION_URL = 'http://api.conceptnet.io/related'
# if build locall ,use those
BASE_LOOKUP_URL = 'http://127.0.0.1:8084'
BASE_SEARCH_URL = '... | zhouhoo/conceptNet_55_client | conf/settings.py | settings.py | py | 5,138 | python | en | code | 3 | github-code | 36 |
6913776937 | # -*- coding: utf-8 -*-
"""
Created on Tue Aug 24 19:55:28 2021
@author: jon-f
"""
import numpy as np
import matplotlib.pyplot as plt
import os
from skimage.transform import resize
def binary_array_to_hex(arr):
bit_string = ''.join(str(int(b)) for b in arr.flatten())
width = int(np.ceil(len(bit_string)/4))
retur... | triviajon/jonbot | to_hash_thing.py | to_hash_thing.py | py | 2,180 | python | en | code | 0 | github-code | 36 |
74517025384 | #!/usr/bin/env pythonimport coliche, os
import bn.bn
def bn2dot(bnfile, outfile, vdfile=None, loners=False, center=None,
awfile=None):
# give None to outfile to get string back
dotbuffer = []
bns = bn.bn.load(bnfile, False)
varc = bns.varc
arcs = bns.arcs()
names = vdfile \
... | tomisilander/bn | bn/util/bn2dot.py | bn2dot.py | py | 1,917 | python | en | code | 1 | github-code | 36 |
129847267 | from django.shortcuts import render, get_object_or_404
from .models import Post, Category, User
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from taggit.models import Tag
from django.db.models import Count
from django.utils import timezone
def post_list(request, tag_slug=None):
posts =... | open-apprentice/ellieplatform-website | blog/views.py | views.py | py | 2,992 | python | en | code | 1 | github-code | 36 |
38622940273 | """Platform for sensor integration."""
import logging
from datetime import datetime
from .const import (
DOMAIN,
MODEM_GATEWAY,
EVT_MODEM_CONNECTED,
EVT_MODEM_DISCONNECTED,
EVT_LTE_CONNECTED,
EVT_LTE_DISCONNECTED,
SENSOR_LASTUPD
)
from homeassistant.components.binary_sensor import (
... | vladkozlov69/homeassistant_modem | binary_sensor.py | binary_sensor.py | py | 5,944 | python | en | code | 1 | github-code | 36 |
1842906521 | #every day coding test 2018.07.09 [!]
'''
Q : Given an integer N, find the number of possible balanced parentheses with N opening and closing brackets.
'''
import copy
# DUMMY = [4]
DUMMY = [1, 2, 3]
G_list = []
G_Question = None
def combination_rule(past_list):
'''
1. just condition check.
1. exit c... | jaeyongkim/practice_JY | practice_3_brackets_combination.py | practice_3_brackets_combination.py | py | 1,188 | python | en | code | 1 | github-code | 36 |
74512115622 | import cv2
import numpy as np
import matplotlib.pyplot as plt
img1 = cv2.imread('shanghai-11.png')
img2 = cv2.imread('shanghai-12.png')
img3 = cv2.imread('shanghai-13.png')
plt.figure(1)
plt.subplot(131), plt.imshow(img1, cmap='gray'), plt.title("Image 1")
plt.subplot(132), plt.imshow(img2, cmap='gray'), pl... | costinchican/computer_vision | App2/app2.py | app2.py | py | 8,599 | python | en | code | 0 | github-code | 36 |
24788288939 | from typing import List
"""
Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.
A subarray is a contiguous part of an array.
"""
class Solution:
def maxSubArray(self, nums: List[int]) -> int:
dp = [nums[0]]
# res... | inhyeokJeon/AALGGO | Python/LeetCode/dp/53_maximum_subarr.py | 53_maximum_subarr.py | py | 680 | python | en | code | 0 | github-code | 36 |
27141705447 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/11/22 12:54
# @Author : Ryu
# @Site :
# @File : yibu.py
# @Software: PyCharm
import asyncio,aiohttp
import time
import requests
async def f1(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as resp:
... | yuzhema/crawer | day08/yibu.py | yibu.py | py | 805 | python | en | code | 0 | github-code | 36 |
42600271957 | import openpyxl
import os, string, sys
from lib import l
DIRS_SOCIUM = ['/media/da3/asteriskBeagleAl/Socium/2017/', '/media/da3/asteriskBeagleAl/Socium/2018/']
def isSNILS(snils):
if snils != None:
t = str(snils).replace('\n',' ').replace(' ', ' ').replace(' ', ' ').replace(' ', ' ').strip()
if... | dekarh/asocium | asocium_loaded.py | asocium_loaded.py | py | 6,570 | python | en | code | 0 | github-code | 36 |
2187178006 | import numpy as np
from scipy.spatial.distance import cdist
from scipy.optimize import linprog
from functools import partial
import itertools
def sparse_jump(Y, n_states, max_features, jump_penalty=1e-5,
max_iter=10, tol=1e-4, n_init=10, verbose=False):
# Implementation of sparse jump model
n_o... | Yizhan-Oliver-Shu/continuous-jump-model | regime/.ipynb_checkpoints/sparse_jump-checkpoint.py | sparse_jump-checkpoint.py | py | 11,123 | python | en | code | 3 | github-code | 36 |
34701767455 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('login', '0002_usuario_nome'),
]
operations = [
migrations.RenameField(
model_name='usuario',
old_nam... | andersonfantini/example-django-social-login | login/migrations/0003_auto_20150213_1520.py | 0003_auto_20150213_1520.py | py | 380 | python | en | code | 1 | github-code | 36 |
10084248761 | import sys
input = sys.stdin.readline
def dfs(x, y):
stack = []
stack.append((x, y))
while stack:
for i in range(8):
nx = x + dx[i]
ny = y + dy[i]
if 0<=nx<h and 0<=ny<w and arr[nx][ny] == '1':
stack.append((x, y))
arr[nx][ny] = '... | papillonthor/Cool_Hot_ALGO | jhLim/s2_4963_섬의 개수.py | s2_4963_섬의 개수.py | py | 905 | python | en | code | 2 | github-code | 36 |
13960662339 | from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from django.views.decorators.cache import never_cache
from helfertool.utils import nopermission
from registration.permissions import has_access, ACCESS_CORONA_VIEW, ACCESS_CORONA_EDIT
from registration.utils import ... | helfertool/helfertool | src/corona/views/helper.py | helper.py | py | 2,339 | python | en | code | 52 | github-code | 36 |
19088343099 | from django.shortcuts import render_to_response
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.views.generic.simple import direct_to_template
from django.template import RequestContext
from images.models import Image
from images.forms import ImageForm
def images_a... | queensjournal/queensjournal.ca | apps/images/views.py | views.py | py | 2,225 | python | en | code | 2 | github-code | 36 |
3746638257 | # Standard Library
import argparse
import os
class EnvDefault(argparse.Action):
"""
Helper for the CLI argparse to allow setting defaults through environment variables
Usage: In an argparse argument, set the Action to this class.
Add the extra variable envvar added that has the name of the environ... | abnamro/repository-scanner | components/resc-vcs-scanner/src/vcs_scanner/helpers/env_default.py | env_default.py | py | 1,071 | python | en | code | 137 | github-code | 36 |
10138616258 | """
called as optimal_model_search.py $TMPDIR $PACKAGEDIR $NPROC $PATTERNDIR $OUTDIR
"""
import sys
import itertools
import logging
import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
from pathlib import Path
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics ... | chiemvs/Weave | hpc/inspect_models.py | inspect_models.py | py | 5,840 | python | en | code | 2 | github-code | 36 |
17066369564 | import pandas as pd
from sklearn.linear_model import LinearRegression
'''dealing with the data'''
def preprocessing(country):
rows = data.loc[(data['countriesAndTerritories'] == country)]
x = rows['dateRep'].iloc[::-1].reset_index(drop=True)
for i in range(x.size):
x[i] = i
size = x.si... | Amy-Liao/COVID-19-Forecast | model.py | model.py | py | 1,577 | python | en | code | 0 | github-code | 36 |
40584544669 | import sys
from catchException import exception_handler
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from requests import ReadTimeout, ConnectTimeout, HTTPError, Timeout, ConnectionError
import pandas as pd
import os
# import requests
# import urllib3
## handle exception properly
##... | adderbyte/finos_viz | dataValuation.py | dataValuation.py | py | 4,312 | python | en | code | 0 | github-code | 36 |
40520294015 | from pprint import pprint
from functools import reduce
from collections import defaultdict
data = [l.strip() for l in open("input.txt","r").readlines()]
pprint(data)
# part 1
# vowels = ["a","e","i","o","u"]
# forbidden = ["ab", "cd", "pq", "xy"]
# nice = 0
# for line in data:
# vows = sum([1 for ch in line if ch... | archanpatkar/advent2015 | Day-05/sol.py | sol.py | py | 955 | python | en | code | 0 | github-code | 36 |
147445250 | #How many Sundays fell on the first of the month during the twentieth century (1 Jan 1901 to 31 Dec 2000)?
#1 Jan 1900 was a Monday.
months = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug','sep','oct', 'nov', 'dec']
def make_calendar(year):
calendar = {}
for i in months:
if i == "feb"... | happinessbaby/Project_Euler | count_sundays.py | count_sundays.py | py | 1,271 | python | en | code | 0 | github-code | 36 |
73488488423 |
from requests import get
from scrapy import Selector
response = get("https://fr.wikipedia.org/wiki/Guerre_d%27Alg%C3%A9rie")
source = None
if response.status_code == 200 :
source = response.text
if source :
selector = Selector(text=source)
titles = selector.css("div.toc ul > li")
for title in titles... | LexicoScrap/scrap_test | scrap_test_one.py | scrap_test_one.py | py | 484 | python | en | code | 0 | github-code | 36 |
43847888670 | import os
class Directory:
def __init__(self, full_path, pages):
self.full_path = full_path
self.dirname = os.path.basename(full_path)
self.pages = pages
self.title = self.dirname.replace('_', ' ').title()
# If the index.md file has a title other than Index, use it
... | ad96/diva.js | legacy/docs/src/pages.py | pages.py | py | 1,175 | python | en | code | null | github-code | 36 |
4408278658 | # 移到'Laszlo'并得到他的秘密号码。
hero.moveXY(30, 13)
las = hero.findNearestFriend().getSecret()
# 向 Laszlo 的数字中加7就能得到 Erzsebet的号码
# 移到'Erzsebet'并说出她的魔法数字。
erz = las + 7
hero.moveXY(17, 26)
hero.say(erz)
# 将 Erzsebet 的数字除以 4 得到 Simoyi 的数字。
# 去'Simony'并告诉他他的电话号码。
sim = erz / 4
hero.moveXY(30, 39)
hero.say(sim)
# 将 Simonyi 的数字乘以 ... | elain-lizhe/jikezhanji | 20190114巫师之门.py | 20190114巫师之门.py | py | 592 | python | zh | code | 0 | github-code | 36 |
73424751784 | import json
from nose.tools import ok_, eq_, assert_is_not_none
try:
from mock import Mock, patch
except ImportError:
from unittest.mock import Mock, patch
try:
from httplib import OK
except:
from http.client import OK
from uuid import uuid4
from time import sleep
from config import *
from applicat... | belodetek/unzoner-api | src/tests/utils_tests.py | utils_tests.py | py | 4,279 | python | en | code | 3 | github-code | 36 |
37194870215 | import os
import pyautogui
import cv2
import numpy as np
import time
import win32gui
import win32con
def GetDevicesList():
list = os.popen("adb devices").read().split('\n')
deviceList = []
for temp in list:
if len(temp.split()) > 1:
if temp.split()[1] == 'device':
device... | lqgood007/scrcpy-win64-v1.24 | adbUtil.py | adbUtil.py | py | 2,183 | python | en | code | 1 | github-code | 36 |
30395131421 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 20 21:29:31 2021
@author: skibbe
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.multiprocessing as mp
#from . import tools as tls
from pw import tools as tls
import math
#mp.set_start_method(... | febrianrachmadi/BIA_ATLAS2 | deep_patchwork/pw/batch_mat.py | batch_mat.py | py | 4,678 | python | en | code | 1 | github-code | 36 |
43302353884 | """
The format table for standard sizes and alignments.
"""
# Note: we follow Python 2.5 in being strict about the ranges of accepted
# values when packing.
import struct
from rpython.rlib.objectmodel import specialize
from rpython.rlib.rarithmetic import r_uint, r_longlong, r_ulonglong
from rpython.rlib.rstruct imp... | mozillazg/pypy | rpython/rlib/rstruct/standardfmttable.py | standardfmttable.py | py | 13,739 | python | en | code | 430 | github-code | 36 |
42713367720 | # JIT (Just in Time) Derleyicisi ile Flax module :
class MLP(nn.Module):
features: Sequence[int]
@nn.compact
def __call__(self, inputs):
x = inputs
for i, feat in enumerate(self.features):
# JIT the Module (it's __call__ fn by default.)
x = nn.jit(nn.Dense)(feat, name=f'layers_{i}')(x)
... | bukempas/Jax-Flax-Turkiye | Flax/module_derleyecileri.py | module_derleyecileri.py | py | 4,397 | python | en | code | 1 | github-code | 36 |
28164322493 | from webiopi.clients import *
from time import sleep
# Create a WebIOPi client
client = PiHttpClient("192.168.1.83")
#client = PiMixedClient("192.168.1.234")
#client = PiCoapClient("192.168.1.234")
#client = PiMulticastClient()
client.setCredentials("webiopi","Webiopi2016")
# RPi native GPIO
#gpio = NativeGPIO(clien... | ccc2512/room | python/arx/webiopi-client.py | webiopi-client.py | py | 669 | python | en | code | 0 | github-code | 36 |
25622576463 | import math
def test():
a, b, c = [8, 5, 7]
triangle_type(a, b, c)
def triangle_type(a: float, b: float, c: float):
if a + b > c and a + c > b and b + c > a:
cos_a = round(math.degrees(math.acos(float(a**2 + c**2 - b**2) / float(2*a*c))))
cos_b = round(math.degrees(math.acos(float(a**2 +... | SSDD-kosmos/Codewars | 6_kyu/Triangle_type/Triangle.py | Triangle.py | py | 617 | python | en | code | 0 | github-code | 36 |
15744786007 | import errno
import filecmp
import glob
import os
import platform
import random
import re
import shutil
import stat
import subprocess
import sys
import tarfile
import tempfile
import time
from typing import List, NamedTuple
import urllib.parse
from color import Coloring
from error import DownloadError
from error impor... | GerritCodeReview/git-repo | project.py | project.py | py | 160,523 | python | en | code | 267 | github-code | 36 |
42243580740 | import numpy as np
import matplotlib.pyplot as plt
import bead_util as bu
save_dir = '/processed_data/spinning/pramp_data/20190626/outgassing/'
files, lengths = bu.find_all_fnames(save_dir, ext='.txt')
times = []
rates = []
for filename in files:
file_obj = open(filename, 'rb')
lines = file_obj.readline... | charlesblakemore/opt_lev_analysis | scripts/spinning/plot_outgassing_analysis.py | plot_outgassing_analysis.py | py | 645 | python | en | code | 1 | github-code | 36 |
8254311544 | import numpy as np
import pygame
from sys import exit
#Initializing Parameters
pygame.init()
displayInfo = pygame.display.Info()
screenWidth = displayInfo.current_w
screenHeight = displayInfo.current_h
display_surface = pygame.display.set_mode((screenWidth, screenHeight-50), pygame.RESIZABLE)
pygame.display.set_capt... | bfelson/Python-Game-Engine | engine.py | engine.py | py | 4,993 | python | en | code | 0 | github-code | 36 |
43868098541 | n = int(input())
a = list(map(int, input().split()))
totalMove = 0
maxMove = 0
now = 0
ans = 0
for i in a:
totalMove += i
maxMove = max(maxMove, totalMove)
ans = max(ans, now + maxMove)
now += totalMove
print(ans)
| cocoinit23/atcoder | abc/abc182/D - Wandering.py | D - Wandering.py | py | 233 | python | en | code | 0 | github-code | 36 |
3890413470 | """
This module is used to calculate the participants scores for their textual answers, based on the scores assigned by
three different coders.
"""
import pandas as pd
import os
import numpy as np
def read_categories(labels):
labels = str(labels)
labels = labels.split('#')
labels = [int(i) for i ... | hcmlab/GANterfactual | SurveyEvaluation/text_analysis.py | text_analysis.py | py | 4,734 | python | en | code | 10 | github-code | 36 |
34377485430 | """
The :py:mod:`~ahk.script` module, most essentially, houses the :py:class:`~ahk.ScriptEngine` class.
The :py:class:`~ahk.ScriptEngine` is responsible for rendering autohotkey code from jinja templates and executing that
code. This is the heart of how this package works. Every other major component either inherits f... | Frankushima/LeagueAccountManager | ahk/script.py | script.py | py | 7,406 | python | en | code | 1 | github-code | 36 |
71749898023 | #! /usr/local/bin/python3
""" Currently active courses that have the WRIC attribute.
"""
import sys
from datetime import datetime
# For curric db access
import psycopg2
from psycopg2.extras import NamedTupleCursor
# CGI stuff -- with debugging
import cgi
import cgitb
from pprint import pprint
cgitb.enable(display=0, ... | cvickery/senate-curriculum | Approved_Courses/writing_intensive.py | writing_intensive.py | py | 1,695 | python | en | code | 0 | github-code | 36 |
35862806433 | import datetime
import pytest
from lizaalert.users.models import UserRole
@pytest.fixture
def user(django_user_model):
return django_user_model.objects.create_user(username="TestUser", password="1234567", email="test@test.com")
@pytest.fixture
def user_2(django_user_model):
return django_user_model.object... | Studio-Yandex-Practicum/lizaalert_backend | src/tests/user_fixtures/user_fixtures.py | user_fixtures.py | py | 1,978 | python | en | code | 7 | github-code | 36 |
73094876263 |
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
from PIL import Image
from skimage import io, morphology, measure
import pandas as pd
class LabelFieldOperations:
def __init__(self, labelVol):
self.labelVol = labelVol
def MaskLabels(self, mask):
print('masking inc... | lcubelongren/ElephantTrunkMuscles | VolumeOperations.py | VolumeOperations.py | py | 3,323 | python | en | code | 0 | github-code | 36 |
2628241264 | from datetime import timedelta
from pathlib import Path
import environ
import os
env = environ.Env()
BASE_DIR = Path(__file__).resolve().parent.parent
DEBUG = env.bool("DJANGO_DEBUG", True)
SECRET_KEY = os.getenv(
"DJANGO_KEY",
default="django-insecure-c1@)8!=axenuv@dc*=agcinuw+-$tvr%(f6s9^9p9pf^7)w+_b",
)
#... | mohamedsamiromar/family-tree | family_tree/settings/base.py | base.py | py | 3,990 | python | en | code | 0 | github-code | 36 |
72909187624 | # Напишите функцию, которая принимает на вход строку — абсолютный путь до файла.
# Функция возвращает кортеж из трёх элементов: путь, имя файла, расширение файла.
def split_path(path: str) -> tuple:
*path, file_name, file_extension = path.replace('.', '\\').split('\\')
path = '/'.join(path)
return path, f... | TatSoz/Python_GB | Sem_5/HW_5/Task_01.py | Task_01.py | py | 601 | python | ru | code | 0 | github-code | 36 |
43205072820 | # -*- coding: utf-8 -*-
"""
@author: Alsaray
"""
def Breadth_First_Search(graph, start_node):
##Use as a FIFO queue with node as an element
frontier =[]
#Use for tracking the visited nodes.
reached = []
try:
reached.append(start_node)
frontier.append(start_node)
... | malsaray/knack | Search.py | Search.py | py | 1,130 | python | en | code | 0 | github-code | 36 |
8635247821 | from django.urls import path
from . import apis
urlpatterns_api_tables = [
path('table-list/', apis.TableListAPI.as_view()),
path('monthly-tables/', apis.MonthlyTableListAPI.as_view()),
path('main-page/', apis.MainPageAPI.as_view()),
path('make-log/', apis.MakeTableLogAPI.as_view()),
path('search/'... | hanoul1124/healthcare2 | app/tables/urls.py | urls.py | py | 357 | python | en | code | 0 | github-code | 36 |
11089039079 | import yaml
import praw
import time
def connect_to_reddit(config):
reddit = praw.Reddit(username=config["auth"]["username"],
password=config["auth"]["password"],
user_agent=config["auth"]["user_agent"],
client_id=config["auth"]["client_id"]... | nouveaupg/mass_dm | broadcast_dm.py | broadcast_dm.py | py | 2,255 | python | en | code | 1 | github-code | 36 |
7690140597 | from collections import defaultdict
class Graph:
def __init__(self, vertices):
self.V = vertices
self.graph = defaultdict(list)
def addEdge(self, v, w):
self.graph[v].append(w)
self.graph[w].append(v)
def isCyclicUtil(self, v, visited, parent):
visited[v] = T... | thisisshub/DSA | Q_graphs/problems/detecting_cycle/A_in_the_undirected_graph.py | A_in_the_undirected_graph.py | py | 1,144 | python | en | code | 71 | github-code | 36 |
18423321387 | import torch
from torch import nn
import pytorch_lightning as pl
from transformers import AutoTokenizer
import os
import pandas as pd
import numpy as np
from config import CONFIG
class CommonLitDataset(torch.utils.data.Dataset):
def __init__(self, df):
self.df = df
self.full_text_tokens = df['fu... | alexeyevgenov/Kaggle_CommonLit-Evaluate_Student_Summaries | code/dataset.py | dataset.py | py | 2,348 | python | en | code | 0 | github-code | 36 |
70108688104 | import yt
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import unyt
from unyt import cm, s
# 9 different simulations with a few snapshots:
# NIF_hdf5_plt_cnt_0*
#frames = [000,125,250,275,300,32,350,375,425]
ds = yt.load('/scratch/ek9/ccf100/nif/turb_foam_gamma_5_3_3d_1024_50mu_bubbles/NIF_hdf5... | dcollins4096/p68c_laser | script1.py | script1.py | py | 2,199 | python | en | code | 0 | github-code | 36 |
28672032992 | import math
import gym
from gym import spaces, logger
from random import seed
from random import randint
from PIL import Image
from gym.utils import seeding
import numpy as np
from numpy import asarray
import cv2
def init_map(size, num_obs, border_size):
# Drawing a empty map
global_map = np.one... | MetalEinstein/Projects | Map_Builder/custom_map_env.py | custom_map_env.py | py | 8,308 | python | en | code | 0 | github-code | 36 |
28837909152 | from parking.vehicle import Vehicle
from parking.parking_lot import ParkingLot
# Building Parking Slots and defining Entry Gates
def parking_lot_entry_slots_setup():
try:
print('Build your parking lot')
lot_size = int(input('Enter TOTAL #SLOTS in parking area = ').strip().split()[0])
entry... | mathurprateek/ParkingLot | parking/parking_spot.py | parking_spot.py | py | 6,273 | python | en | code | 0 | github-code | 36 |
31762719256 | import sys
input = sys.stdin.readline
def check(_list):
_list.sort()
standard = _list[0]
for j in _list[1:]:
if len(standard) < len(j):
if standard in j[:len(standard)]:
return print("NO")
else:
standard = j
else:
... | 4RG0S/2020-Spring-Jookgorithm | 이성복/[20.04.06]5052.py | [20.04.06]5052.py | py | 533 | python | en | code | 4 | github-code | 36 |
30513085228 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2017-06-07 22:33:28
# @Author : 曹伟 (caocaosze@qq.com)
# @Link : #
# @Version : $Id$
import pickle
d= dict(name='caowei',age='26',score='80')
print(pickle.dumps(d))
f=open('dump.txt','wb')
pickle.dump(d,f)
f.close()
f=open('dump.txt','rb')
d=pickle.load(... | maketubuwa/python | test/pickling.py | pickling.py | py | 345 | python | en | code | 0 | github-code | 36 |
22784884700 | from .common import *
import numpy
import scipy
import scipy.special
import scipy.sparse
import scipy.sparse.linalg
# Datatypes
bool = bool
float16 = numpy.float16
float32 = numpy.float32
float64 = numpy.float64
uint8 = numpy.uint8
int16 = numpy.int16
int32 = numpy.int32
int64 = numpy.int64
float_fmts.update({
'... | Microno95/desolver | desolver/backend/numpy_backend.py | numpy_backend.py | py | 5,706 | python | en | code | 17 | github-code | 36 |
21325799107 | from django_mongoengine.queryset import QuerySet
from .config import (
HARD_DELETE,
DELETED_INVISIBLE,
DELETED_ONLY_VISIBLE,
DELETED_VISIBLE,
DELETED_VISIBLE_BY_FIELD,
)
class SafeDeletionQuerySet(QuerySet):
"""Default queryset for the SafeDeletionQuerySetManager.
Takes care of "lazily e... | ngocngoan/django-safedeletion-mongoengine | safedeletion_mongoengine/queryset.py | queryset.py | py | 4,946 | python | en | code | 14 | github-code | 36 |
31775281487 | class Vector2D:
def __init__(self, x, y):
self.x = x
self.y = y
def __add__(self, other):
return Vector2D(self.x + other.x, self.y + other.y)
first = Vector2D(5, 7)
second = Vector2D(3, 9)
result = first + second
print(result.x)
print(result.y)
"""
The __add__ method allows for the d... | priyankabb153/260150_daily_commits | OOP/magic&operator_overloading.py | magic&operator_overloading.py | py | 1,489 | python | en | code | 0 | github-code | 36 |
12413589703 | # -*- coding: utf-8 -*-
"""
@author: Gallien FRESNAIS
"""
import pygame
from pygame.locals import *
# - Local - #
from App.src.pygame_test.app_settings import *
# pygame.mixer.init()
"""
Handles the events from the main pygame program
"""
def event_handler():
for event in pygame.event.get():
# if the... | gfresnais/Lucky_Number_AI | App/src/pygame_test/app_functions.py | app_functions.py | py | 3,020 | python | en | code | 1 | github-code | 36 |
21951988068 | # coding: utf-8
__title__ = "Удалить ОП в файлах семейства"
__author__ = 'Tima Kutsko'
__doc__ = "Удалить общие параметры (ОП) из файлов семейств"
from Autodesk.Revit.DB import Transaction, BuiltInParameterGroup,\
TransactionStatus, StorageType
from Autodesk.Revit.ApplicationServices im... | bimkpln/Git_Repo_pyKPLN | pyKPLN_MEP/KPLN.extension/pyKPLN_MEP.tab/Координация.panel/Общие параметры.pulldown/4_deleteSharedParameter.pushbutton/script.py | script.py | py | 2,821 | python | en | code | 2 | github-code | 36 |
32341335567 | #!/usr/bin/env python
'''
Here we create a 7 shell module, plot its cross section, and plot a 3D
representation. Note: the 3D representation uses polygons to construct
the module shells (but within the software, the shells are constructed
mathematically to have perfect curvature).
Created on Aug 15, 2011
@author: ... | humatic/foxsi-optics-sim | examples/example1.py | example1.py | py | 1,040 | python | en | code | 0 | github-code | 36 |
39093187145 | import math
import random
'''
Notes
0-Uninfected, 1-Undiagnosable, 2-Asymptomatic, 3-Symptomatic 4-Recovered, 5-Dead
!!! Be careful when adding new states !!!
'''
class Person():
day = 7 # cycles for one day
standardDay = day
# infectionRad = 1 # now an array inside __INIT__()
in... | Rr9/outbreakAffect | person.py | person.py | py | 11,900 | python | en | code | 1 | github-code | 36 |
72609543784 | import requests
from bs4 import BeautifulSoup
import mysql.connector
from mysql.connector import Error
class ScraperBol():
lijstMetCategorien = ["video games", "nature", "photo", "sports", "tech", "beauty"]
def __init__(self):
self.connection = mysql.connector.connect(host='ID362561_suggesto.db.webhost... | ThiboVanderkam/Suggesto | v1/assets/python/scraperClass.py | scraperClass.py | py | 5,843 | python | en | code | 2 | github-code | 36 |
75127646504 | import sys
from cravat import BaseAnnotator
from cravat import InvalidData
import sqlite3
import os
from functools import reduce
class CravatAnnotator(BaseAnnotator):
"""
CravatAnnotator for the Denovo module.
Querying attributes (input_data):
chrom, pos, ref_base, alt_base
Return attributes ... | KarchinLab/open-cravat-modules-karchinlab | annotators/denovo/denovo.py | denovo.py | py | 2,269 | python | en | code | 1 | github-code | 36 |
38287171776 | import sys
import os
import numpy as np
param_dir = sys.argv[1]
strDirIn = param_dir
strDirOut = param_dir + '/unclassified'
fileExt = '.las'
binaryPath = 'D:/lib_build/LAStools_20160906/bin/las2las.exe'
if not os.path.isdir(strDirOut):
os.mkdir(strDirOut)
for file in os.listdir(strDirIn):
if file.endswith(... | LancerLiuSong/toolBox | python/las_drop_classIDs_with_input_dir.py | las_drop_classIDs_with_input_dir.py | py | 660 | python | en | code | 0 | github-code | 36 |
14558996350 | def encrypt(message, shift):
output = ''
for x in message:
if x.isalpha():
if x.isupper():
output += chr((ord(x) + shift - 65) % 26 + 65)
else:
output += chr((ord(x) + shift - 97) % 26 + 97)
else:
output += x
r... | SeunghooKim/Misc | Caesar cipher encoder and breaker.py | Caesar cipher encoder and breaker.py | py | 1,370 | python | en | code | 0 | github-code | 36 |
1048912505 | import torch
from torch import nn
class down_conv(nn.Module):
def __init__(self, in_ch, out_ch):
super(down_conv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(in_ch, out_ch, 3, 1, 1),
nn.ReLU(),
nn.Conv2d(out_ch, out_ch, 3, 1, 1),
nn.ReLU()
... | lembolov9/u-net-torch | model.py | model.py | py | 2,331 | python | en | code | 0 | github-code | 36 |
14031417412 | class Node():
def __init__(self,val):
self.data=val
self.add=None
class ll():
def __init__(self):
self.head=None
self.last=None
def insert(self,val):
nn=Node(val)
if self.head==None:
self.head=nn
self.last=nn
else:
... | aravind225/hackerearth | class13(linked list).py | class13(linked list).py | py | 2,260 | python | en | code | 1 | github-code | 36 |
24806134556 | import tkinter as tk
from tkinter import ttk
root = tk.Tk()
root.title('Paginas')
root.geometry('400x300')
cuadroMadre = ttk.Notebook(root)
cuadroMadre.pack(pady = 10, expand = True)
frame1 = ttk.Frame(cuadroMadre, width = 400, height = 280)
frame2 = ttk.Frame(cuadroMadre, width = 400, height = 280)
frame1.pack(fil... | alexisflores99/Repo-for-Python | Interfaces Graficas/tk5.py | tk5.py | py | 558 | python | es | code | 0 | github-code | 36 |
4084437791 | """
Start with
streamlit run ./src/streamlit_app.py
"""
import datetime
import logging
import streamlit as st
import numpy as np
from models import train_model as tm
import visualization.visualize as vis
from preprocessing.pipeline import get_preprocessing_pipeline
from filehandler.load_input import l... | BerndSaurugger/SaveBread | src/streamlit_app.py | streamlit_app.py | py | 6,014 | python | en | code | 0 | github-code | 36 |
6027123411 | import unittest
from issues import one_hot_encoder as src
class TestTF(unittest.TestCase):
def test_tf(self):
actual = src.fit_transform(['Moscow', 'New York', 'Moscow', 'London'])
expected = [
('Moscow', [0, 0, 1]),
('New York', [0, 1, 0]),
('Moscow', [0, 0, 1]... | ivkrasovskiy/Intro_to_testing | issue-03.py | issue-03.py | py | 1,515 | python | en | code | 0 | github-code | 36 |
70943549223 | import socket
import pickle
import _thread
import time
import random
from phe import paillier
from helpers import *
## Alice
def Main():
## Alice's server for initial reshuffling
## Set up server to connect to Bob
server_alice = setServer('127.0.0.1', 5006, 2)
print("Alice is up for the game.")
... | bablookr/Mental-Poker | Algortihm_1/Implementation_1/alice.py | alice.py | py | 4,483 | python | en | code | 0 | github-code | 36 |
13899195903 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from math import e
import seaborn as sn
from sklearn.metrics import confusion_matrix
from pretty_confusion_matrix import pp_matrix_from_data
# Ryan Filgas
# Machine learning
def get_distance(a,b,c,d):
return pd.DataFrame((a-b)**2 + (c-d)**2)... | rfilgas/ML-AI-CV | ML-K-Means-Classification-Gaussian/kmeans.py | kmeans.py | py | 3,690 | python | en | code | 1 | github-code | 36 |
2723009963 | class Solution(object):
def threeSum(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
target = 0
n = len(nums)
seen = set()
ans = set()
for i in range(n):
for j in range(i+1, n):
lastNumber = target... | ZhengLiangliang1996/Leetcode_ML_Daily | other/3sum.py | 3sum.py | py | 548 | python | en | code | 1 | github-code | 36 |
20438077431 | import datetime
import os
from os import path
import numpy as np
import pandas as pd
def check_outlier(data, col):
"""
:param df:
:param col:
:return:
"""
outlier_df = data[((data[col] - data[col].mean()) / data[col].std()).abs() > 6]
base_filename = 'outlier.txt'
with open(os.path.joi... | c1dc-candidate-48/HMDA-Data-Challenge | src/data_quality.py | data_quality.py | py | 4,214 | python | en | code | 0 | github-code | 36 |
74207610663 | from turtle import title
from flask import Blueprint, render_template, request, session, redirect, flash
import mysql.connector
from webappfiles import dbconnect
from datetime import datetime
import os
views = Blueprint('views', __name__)
cur, con = dbconnect.get_connection()
#referring to the default page via the ... | yelenaM4/Mohandyman | webappfiles/views.py | views.py | py | 7,945 | python | en | code | 0 | github-code | 36 |
71017122023 | from multiprocessing import Lock
import dquality.common.constants as const
from multiprocessing import Process
import importlib
from os import path
import sys
import dquality.realtime.pv_feedback_driver as drv
if sys.version[0] == '2':
import thread as thread
else:
import _thread as thread
class Result:
"... | bfrosik/data-quality | dquality/common/containers.py | containers.py | py | 10,484 | python | en | code | 5 | github-code | 36 |
30774528922 | import tensorflow as tf
import numpy as np
import os
import time
import util
class CharRNN:
def __init__(self, output_size, batch_size=64, seq_size=50, lstm_size=128,
num_layers=1, train_keep_prob=0.5, learning_rate=0.001, grad_clip=5, sampling=False):
"""
charRNN模型类
:para... | linkseed18612254945/Char-RNN | model.py | model.py | py | 9,829 | python | en | code | 0 | github-code | 36 |
30181316679 | """
This code allows to compute and evaluate optimal policies for the grid environments. These optimal values are used to normalize the rewards per task.
"""
import envs, gym, argparse
from envs.water.water_world import Ball, BallAgent
if __name__ == '__main__':
# Examples
# >>> python3 test_optimal_policies.py --e... | RodrigoToroIcarte/reward_machines | reward_machines/test_optimal_policies.py | test_optimal_policies.py | py | 932 | python | en | code | 49 | github-code | 36 |
22688843536 | from Learner import Learner
import torch
if __name__ == '__main__':
learner = Learner(0.001, "Model/goodPolicy.pth")
# train
# for epoch in range(1000):
# learner.trainPolicy(1000, 0.2)
# simulate
result = learner.simulate(1, 1, True)
for i in result:
print(i[2])
| APM150/CartPole_v0 | Main.py | Main.py | py | 306 | python | en | code | 0 | github-code | 36 |
485015950 | from PIL import Image
import time
from libsvm.svmutil import svm_predict, svm_train
import numpy as np
import sys
import pandas as pd
from libsvm.svm import *
from libsvm.svmutil import *
train_file = '/Users/aparahuja/Desktop/IITD/ML/Assignment 2/Q2/mnist/train.csv'
test_file = '/Users/aparahuja/Desktop/IITD/ML/Assig... | AparAhuja/Machine_Learning | Naive Bayes and SVM/Q2/multi_c.py | multi_c.py | py | 4,313 | python | en | code | 0 | github-code | 36 |
28833400649 | import time
from machine import Pin
from discharge_stats import DischargeStats
import logging
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
AUTO_DISCHARGE = False
class Channel:
def __init__(
self,
channel,
discharge_pin,
leds_object=None,
temperature_sens... | koalacreations/kCharge-firmware | kCharge-firmware/channel.py | channel.py | py | 5,242 | python | en | code | 0 | github-code | 36 |
70096457063 | # This shall display the Fourier transform of an image. BUT IN COLOUR BITCHES
# FIRST al the declarations...
imageName = "images/eye.jpg"
import numpy, Image, pylab, matplotlib.cm as cm
# the circular_mask was copied from http://stackoverflow.com/questions/18352973/mask-a-circular-sector-in-a-numpy-array
def circular... | derbedhruv/imageProcessing | ft.py | ft.py | py | 2,529 | python | en | code | 1 | github-code | 36 |
28440101289 | from tensorboardX import SummaryWriter
from multiprocessing import current_process
from .abstract_writer import AbstractWriter
from .helpers import add_value_wrapper
from ..helpers import concurrent
class TensorboardWriter(AbstractWriter):
def __init__(self, use_hdf_hook=True, **kwargs):
AbstractWriter._... | martius-lab/cee-us | mbrl/allogger/writers/tensorboardwriter.py | tensorboardwriter.py | py | 2,331 | python | en | code | 11 | github-code | 36 |
25628607275 | import numpy as np
import matplotlib.pyplot as plt
def plot(data, part):
x = range(1, data[:, 0].size + 1)
x2 = np.array(range(1, data[:, 0].size + 1))
mask = (data[:, 0] < 0.9196246) & (data[:, 1] > 0.919663)
y_min = np.maximum(data[:, 1], 0.9196246)
y_max = np.minimum(data[:, 0], 0.919663)
i... | tronyaginaa/math_statistics | lab3/interval.py | interval.py | py | 939 | python | en | code | 0 | github-code | 36 |
75263417065 | from dataminer.file import File
from dataminer.processor import PROCESSORS, Processor
from dataminer.extractor import EXTRACTORS
from pathlib import Path
from fnmatch import fnmatchcase
import os
import yaml
import time
CONFIG = {}
def load_config(path: Path):
global CONFIG
with open(path, "rb") as fd:
... | ReplayCoding/tf2-dataminer | dataminer/build.py | build.py | py | 2,671 | python | en | code | 0 | github-code | 36 |
7810152186 | import sys
import argparse
import random
import time
import numpy as np
import server.common.compute.diffexp_generic as diffexp_generic
from server.common.config.app_config import AppConfig
from server.data_common.matrix_loader import MatrixDataLoader
def main():
parser = argparse.ArgumentParser("A command to t... | chanzuckerberg/cellxgene | test/performance/run_diffexp.py | run_diffexp.py | py | 3,548 | python | en | code | 528 | github-code | 36 |
40474789974 | """
..................................... DIAGONAL DIFFERENCE (chẩn đoán sự khác biệt) ...................................
Cho một ma trận vuông, hãy tính hiệu số tuyệt đối giữa các tổng của các đường chéo của nó.
Ví dụ, ma trận vuông được hiển thị bên dưới:
1 2 3
4 5 6
9 8 9
Đường chéo trái sang phải ... | hoangcuong2k1/Multiple-basic-tasks | HR[4]_py_DiagonalDifference.py | HR[4]_py_DiagonalDifference.py | py | 2,252 | python | vi | code | 0 | github-code | 36 |
11844140747 | import configparser
import csv
import os
# Params: abs file path, file section and its key
def get_config_value(conf_file, section, key):
config = configparser.ConfigParser()
config.read(conf_file)
return config[section][key]
def get_tickers(table, fn):
dirname = os.path.dirname(__file__)
path ... | xka155/PFF | core/utils/config.py | config.py | py | 563 | python | en | code | 0 | github-code | 36 |
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