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
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32520478741 | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 24 13:13:32 2018
@author: Administrator
"""
import wget, time
import os
# 网络地址
DATA_URL = 'http://164.52.0.183:8000/file/findTrace/2018-12-24.txt'
# DATA_URL = '/home/xxx/book/data.tar.gz'
out_fname = '2018-12-24.txt'
def download(DATA_URL):
out_fname = '2018-12-... | Y1ran/Pensieve-A3C-Streaming-Adaptive-Bitrate-Model | final/download_data.py | download_data.py | py | 2,603 | python | en | code | 6 | github-code | 36 |
42263303655 | from django import template
from all_products.queryutil import ShirtQuery
register = template.Library()
@register.filter
def shirt_price(shirt):
shirt_query = ShirtQuery(shirt)
for size in shirt_query.sizes:
stock = shirt_query.get_stock(size)
if stock > 0:
return shirt_query.get_price(size) | drivelous/ecmrc | shirts/templatetags/shirt_price.py | shirt_price.py | py | 319 | python | en | code | 12 | github-code | 36 |
40243466051 | import streamlit as st
import cv2
import time
import os
import tempfile
import matplotlib.pyplot as plt
from src.utils.streamlit import factors
from src.utils.onnx_process import load_model, load_label_map, video_predict
from src.utils.video_process import video_stitch
from src.utils.streamlit import save_uploaded_file... | teyang-lau/you-only-edit-once | streamlit_app_onnx.py | streamlit_app_onnx.py | py | 5,602 | python | en | code | 6 | github-code | 36 |
18609514956 | class Solution(object):
def countSort(self, nums):
nums.sort()
last = None
count = 0
count_dict = {}
print(nums)
for x in nums:
if x == last:
count += 1
else:
if last:
count_dict[last] = count... | luluxing3/LeetCode | lulu/substsII.py | substsII.py | py | 1,031 | python | en | code | 1 | github-code | 36 |
24324519488 | from pathlib import Path
from typing import IO
def sentencepiece_load(file):
"""Load a SentencePiece model"""
from sentencepiece import SentencePieceProcessor
spm = SentencePieceProcessor()
spm.Load(str(file))
return spm
# source: https://github.com/allenai/allennlp/blob/master/allennlp/common/f... | bheinzerling/bpemb | bpemb/util.py | util.py | py | 3,501 | python | en | code | 1,146 | github-code | 36 |
33899004274 | import json
from copy import deepcopy
import numpy as np
import pandas as pd
from CWiPy import settings
from CWiPy.MembershipFunction import MembershipFunction
from CWiPy.Modifier import dict_modifiers
def get_synonyms(word):
"""
Args:
word:
Returns:
list of objects containing term and... | akali/fuzzy | CWiPy/Syntax.py | Syntax.py | py | 7,092 | python | en | code | 2 | github-code | 36 |
19019435985 | def setup_grid(points: list) -> list:
width = 0
depth = 0
coords = set()
for coord in points:
x = int(coord.split(',')[0])
y = int(coord.split(',')[1])
coords.add((x, y))
width = x if x > width else width
depth = y if y > depth else depth
grid = [[' ' for x ... | AG-Guardian/AdventOfCode2021 | Day 13/part2.py | part2.py | py | 1,626 | python | en | code | 0 | github-code | 36 |
29432294183 | from pymongo import MongoClient
client = MongoClient('localhost', 27017)
database = client.mflix
pipline = [
{'$unwind':'$cast'},
{'$group':
{
'_id':'$cast',
'count':{'$sum':1}
}},
{
'$sort':{'count':-1}
}]
actors = database.movies.aggregate(pipline)
for... | RezaeiShervin/MaktabSharif89 | Shervin_Rezaei_HW18_MaktabSharif89/Shervin_Rezaei_HW18_MaktabSharif89(7).py | Shervin_Rezaei_HW18_MaktabSharif89(7).py | py | 355 | python | en | code | 1 | github-code | 36 |
73118977704 | def tab_zam(file1, var):
with open(file1, 'r', encoding="utf-8") as file:
if var == "развернуть":
x = file.read().replace("\t", " ")
elif var == "свернуть":
x = file.read().replace(" ", "\t")
else:
print("Некорректный ввод")
return
w... | IlyaOrlov/PythonCourse2.0_September23 | Practice/ssharygina/ssharygina5.5.py | ssharygina5.5.py | py | 596 | python | ru | code | 2 | github-code | 36 |
40399625928 | #PE 7
primes = []
for x in range(2, 1000000):
composite = 0
for i in range(2, int(x**.5)+1):
if x%i == 0:
composite = 1
else:
continue
if composite == 0:
primes.append(x)
print(primes[10000])
| smailliwniloc/Project-Euler | PE0007.py | PE0007.py | py | 252 | python | en | code | 0 | github-code | 36 |
3458501597 | class Solution(object):
def findContentChildren(self, g, s):
"""
:type g: List[int]
:type s: List[int]
:rtype: int
"""
g = sorted(g)
s = sorted(s)
res = 0
while g and s:
if s[0] < g[0]:
s.pop(0)
else:
... | pi408637535/Algorithm | com/study/algorithm/daily/455. Assign Cookies.py | 455. Assign Cookies.py | py | 608 | python | en | code | 1 | github-code | 36 |
25759812026 | #!/usr/bin/env python
import os
import json
from twitter import Api
# Custom import
from datetime import datetime
from datetime import date
import time
import re
import sys
def loadConfig(config_secret):
# Go to http://apps.twitter.com and create an app.
# The consumer key and secret will be generated for yo... | gunarto90/twitter-stream | stream.py | stream.py | py | 11,136 | python | en | code | 1 | github-code | 36 |
19115581972 | async def is_member(user, guild):
if not (isinstance(user, str) or isinstance(user, int)):
return await guild.fetch_member(int(user.id))
return await guild.fetch_member(int(user))
# raise TypeError("User must by specyfied by str or int (id)")
TERMINAL_COLORS = {
"H": "\033[95m", # header
... | cnuebred/pyelectron | src/utils.py | utils.py | py | 1,027 | python | en | code | 1 | github-code | 36 |
40751652782 | import random, math
def generator(
name="problem-n",
cities = 2,
smallAirplanes = 1,
mediumAirplanes = 0,
largeAirplanes = 0,
trains = 1,
railwayFactor = 0.5,
smallTrucksPerCity = 1,
mediumTrucksPerCity = 0,
largeTrucksPerCity = 0,
officesPerCity=1,
... | owodunni-lfischerstrom/tddc17-lab4 | generator.py | generator.py | py | 10,199 | python | en | code | 0 | github-code | 36 |
4292641099 | from django.contrib.auth.models import User
from django.test import TestCase
from note.forms import NoteAddForm, NoteEditForm
from note.models import Note
class NoteFormsTestCase(TestCase):
def setUp(self):
# Arrange
self.user = User.objects.create_user(username='test_user', password='test_pass')... | mehdirahman88/django_notes | note/tests/test_forms.py | test_forms.py | py | 2,820 | python | en | code | 0 | github-code | 36 |
8711592711 | import cx_Oracle
class modulo():
codigoSeccion=0
ramo1=""
ramo2=""
ramo3=""
ramo4=""
def __init__(self,codSec) :
self.codigoSeccion=codSec
def crearModulo():
try:
conexion=cx_Oracle.connect(
user='escuela',
passwo... | nmolina2733/Universidad | modulo.py | modulo.py | py | 3,357 | python | es | code | 0 | github-code | 36 |
2180953342 | from flask import Flask, jsonify, request
import datetime
import fetchNavigationData
app = Flask(__name__)
app.config['JSON_AS_ASCII'] = False
@app.route('/api', methods=['GET'])
def index():
first = request.args.get('first', '')
second = request.args.get('second', '')
json1 = fetchNavigationData.fetch_st... | 5ym/smaen | back/module/app.py | app.py | py | 1,208 | python | en | code | 0 | github-code | 36 |
932987117 | from django.db.models.signals import post_save
from django.dispatch import receiver
from .models import Piece
@receiver(post_save, sender=Piece)
def save_base64_thumbnail(**kwargs):
update_fields = kwargs["update_fields"]
# Without this, the signal will be called in an infinite loop.
if update_fields is ... | ChrisCrossCrash/chriskumm.com_django | art/signals.py | signals.py | py | 569 | python | en | code | 0 | github-code | 36 |
28512545517 | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
# Utility classes that can be used to generate parse tree patterns. These
# utilities take a sample expression or statement, and return a parse tree... | psrc/urbansim | opus_core/variables/utils/parse_tree_pattern_generator.py | parse_tree_pattern_generator.py | py | 1,935 | python | en | code | 4 | github-code | 36 |
13422218557 | import colors
##################################################################
#This is the module used for testing correctness. It performs #
#safety, liveliness and fairness test on the list of values sent #
#from the monitor. #
##################################################################
def test... | NishanthMuruganandam/AsynchronousSystems | Correctness_Verif_Performance_Measure_DistAlgos/correctnessTester.py | correctnessTester.py | py | 3,322 | python | en | code | 0 | github-code | 36 |
36570276493 | import datetime
import urllib
import urllib.parse
from mpcomp import http_core
try:
import simplejson
from simplejson.decoder import JSONDecodeError
except ImportError:
JSONDecodeError = None
try:
# Try to import from django, should work on App Engine
from django.utils import simplejson... | MicroPyramid/opensource-job-portal | mpcomp/gauth.py | gauth.py | py | 10,945 | python | en | code | 336 | github-code | 36 |
17134241020 | from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
spark.conf.set('spark.sql.parquet.compression.codec', 'snappy')
spark.conf.set('hive.exec.dynamic.partition.mode', 'nonstrict')
spark.conf.set('spark.streaming.stopGracefullyOnShutdown', 'true')
spark.conf.set('hive.exec.max.dynamic.partiti... | ConMota/app_renta_indirecta_GS | Class_02_feat.py | Class_02_feat.py | py | 3,937 | python | es | code | 0 | github-code | 36 |
39090962511 | import socket
import struct
import textwrap
import sys
INTERFACE_NAME = 'enp0s3'
def format_multi_line(string, size=80):
if isinstance(string, bytes):
string = ''.join(r'\x{:02x}'.format(byte) for byte in string)
if size % 2:
size -= 1
return '\n'.join([line for line in textwrap.wr... | frederon/packet-sniffer | sniffer.py | sniffer.py | py | 6,225 | python | en | code | 0 | github-code | 36 |
33040671101 | import io
from typing import List, Set, Tuple
from clvm import KEYWORD_FROM_ATOM, KEYWORD_TO_ATOM, SExp
from clvm import run_program as default_run_program
from clvm.casts import int_from_bytes
from clvm.EvalError import EvalError
from clvm.operators import OP_REWRITE, OPERATOR_LOOKUP
from clvm.serialize import sexp_f... | snight1983/chia-rosechain | chia/types/blockchain_format/program.py | program.py | py | 7,273 | python | en | code | 369 | github-code | 36 |
34347438133 | """Module for quad element with 4 nodes - type 3 in gmsh
"""
from diffuspy.element import Element
import numpy as np
class Quad4(Element):
"""Constructor of a 4-node quadrangle (TYPE 3) element
"""
def __init__(self, eid, model, material):
super().__init__(eid, model)
# Nodal coordinat... | nasseralkmim/diffuspy | diffuspy/elements/quad4.py | quad4.py | py | 13,182 | python | en | code | 5 | github-code | 36 |
19358330260 | import subprocess
import numpy as np
# Tamaño de las matrices
n = 8
# Crear matrices aleatorias en Python entre 1 y 5 (con decimales)
A = np.random.randint(1, 6, size=(n, n))
B = np.random.randint(1, 6, size=(n, n))
# girar la matriz 90 grados a la derecha
# Ejecutar el programa en C
# Asegúrate de que este sea el ... | nivalderramas/paralela | matrixMult/matrixComprobator.py | matrixComprobator.py | py | 1,808 | python | es | code | 0 | github-code | 36 |
12371109221 | n = int(input())
array = []
for i in range(n):
array.append(int(input()))
def merge_sort(array):
def sort(low, high):
if high - low < 2:
return
mid = (low + high) // 2
sort(low, mid)
sort(mid, high)
merge(low, mid, high)
def merge(low, mid, high):
... | hwangstone1/Algorithm_repository | Algorithm_sorting/exercise_7.py | exercise_7.py | py | 875 | python | en | code | 0 | github-code | 36 |
10513613017 | from django.test import SimpleTestCase
from website.forms import CreateUserForm, SignUpForm, FeedbackForm, PatientForm, DocumentationP, EventForm, MessageForm, RequestForm
from website.models import Patient, SignUp, Feedback, Documentation, Event, Messages, Requests
class TestForms(SimpleTestCase):
def test_creat... | liorco15/HealthTourism | test_forms.py | test_forms.py | py | 1,646 | python | en | code | 0 | github-code | 36 |
33989498564 | from django.contrib.auth.models import User
from django.shortcuts import render
from profile_app.models import UserProfileInfo
from video_app.models import Video
from comment_app.models import Comment
from django.http import JsonResponse
from django.contrib.auth.decorators import login_required
# Create your views her... | NathanA15/music-video | music_project/comment_app/views.py | views.py | py | 1,008 | python | en | code | 0 | github-code | 36 |
18760528871 | import numpy as np
import itertools
import cv2
def draw_epipolar_lines(img_left, img_right):
height = np.shape(img_left)[0]
divisions = 40.0
colors = [(255,0,0), (0,0,255), (0,255,0), (255,255,0), (255,255,255), (0,255,255)]
color_generator = itertools.cycle(colors)
step = int(np.floor(height/divis... | olaals/multivision-depr | multivision/oa_stereo_utils.py | oa_stereo_utils.py | py | 2,439 | python | en | code | 0 | github-code | 36 |
38043839602 | import xlrd #读取excel
import xlwt #写入excel
from datetime import date,datetime
def read_excel(name):
#打开文件
workbook = xlrd.open_workbook('../data/' + name + '.xlsx')
#获取所有sheet
# print(workbook.sheet_names()) #只有一张表
sheet_name = workbook.sheet_names()[0]
#根据sheet索引或者名称获取sheet内容
sheet =... | MrLeedom/TSC_RL | CSP/preprocess/third.py | third.py | py | 1,744 | python | en | code | 7 | github-code | 36 |
74470473064 | """
Project Tasks that can be invoked using using the program "invoke" or "inv"
"""
import os
from invoke import task
# disable the check for unused-arguments to ignore unused ctx parameter in tasks
# pylint: disable=unused-argument
IS_WINDOWS = os.name == "nt"
if IS_WINDOWS:
# setting 'shell' is a work around f... | arecarn/dploy | tasks.py | tasks.py | py | 2,421 | python | en | code | 68 | github-code | 36 |
33453047943 | from __future__ import print_function
import socket
import sys
import os
import re
import logging
import datetime
"""
FTPClient object requires:
- HOST (IP address or domain)
- PORT (Integer value between 0-99999)
- COMMANDS (List of Strings: LIST|PUT|GET followed by filename)
CTRL+C to exit client
"""
EXAMPLE_INPU... | denBot/clientserver-ftp-sockets-demo | src/client.py | client.py | py | 10,207 | python | en | code | 0 | github-code | 36 |
24390096374 | from itertools import chain
from . import builder
from .. import options as opts, safe_str, shell
from .common import Builder, choose_builder, SimpleBuildCommand
from ..file_types import HeaderFile, SourceFile
from ..iterutils import iterate
from ..languages import known_langs
from ..path import Path
from ..versioning... | jimporter/bfg9000 | bfg9000/tools/qt.py | qt.py | py | 7,250 | python | en | code | 73 | github-code | 36 |
20857741707 | #https://leetcode.com/problems/xor-operation-in-an-array/
class Solution:
def xorOperation(self, n: int, start: int) -> int:
ans=[]
for i in range(1,n+1,1):
ans.append(start+2*(i-1))
l=ans[0]
ans=ans[1:]
for x in ans:
l=l^x
return l | manu-karenite/Problem-Solving | Math/XOROperations.py | XOROperations.py | py | 308 | python | en | code | 0 | github-code | 36 |
12610161351 | #!/usr/bin/python
import sys
#input should be space-separated lines of
#waterfall-like quantites
#with time on the vertical axis
#types on horizontal axis
#bar heights as values
linecnt = 0
while 1:
line = sys.stdin.readline()
if len(line) == 0:
break
colcnt = 0
for col in line.split():
print('%d %d %d' % (... | marcuswanner/randuino | hist2pm3d.py | hist2pm3d.py | py | 387 | python | en | code | 3 | github-code | 36 |
73527120745 | '''
candidate generation: writes a pickle file of candidates
'''
import sys
import nltk
import numpy as np
from ncbi_normalization import load, sample
from ncbi_normalization.parse_MEDIC_dictionary import concept_obj
from normalize import dump_data, load_data, load_mentions
from gensim.models import KeyedVectors
... | fshdnc/nor-bert | src/candidate_generation.py | candidate_generation.py | py | 6,793 | python | en | code | 0 | github-code | 36 |
24759427933 | #!/usr/bin/python3
def safe_print_list(my_list=[], x=0):
ctr = 0
for index in range(0, x):
try:
print(f"{my_list[index]}", end="")
ctr += 1
except IndexError:
break
print()
return (ctr)
| Riyo3350G/alx-higher_level_programming | 0x05-python-exceptions/0-safe_print_list.py | 0-safe_print_list.py | py | 256 | python | en | code | 0 | github-code | 36 |
36955740049 | import wttest
from wtscenario import make_scenarios
from wiredtiger import WT_NOTFOUND
# test_prepare_hs05.py
# Test that after aborting prepare transaction, correct update from the history store is restored.
class test_prepare_hs05(wttest.WiredTigerTestCase):
conn_config = 'cache_size=50MB'
format_values = [... | mongodb/mongo | src/third_party/wiredtiger/test/suite/test_prepare_hs05.py | test_prepare_hs05.py | py | 3,463 | python | en | code | 24,670 | github-code | 36 |
31965515598 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# vi: ts=4 sw=4
import pickle
from ..Protocols import *
from scipy.spatial.distance import cdist
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans, MeanShift, estimate_bandwidth, AffinityPropagation, SpectralClustering # Clustering methods
f... | CFN-softbio/SciAnalysis | SciAnalysis/ImAnalysis/Flakes/cluster.py | cluster.py | py | 42,216 | python | en | code | 19 | github-code | 36 |
13347982564 | import bge, json
from bge.logic import globalDict
from random import choice, random
from pprint import pprint
from ast import literal_eval as litev
if not 'player_active' in globalDict.keys():
globalDict['player_active'] = False
def init(cont):
""" Initializes the character. """
own = cont.owner
scene = own.sce... | BlenderCN-Org/upbge_random_city_generator | char.py | char.py | py | 4,512 | python | en | code | 1 | github-code | 36 |
32281752161 | import identity_server.logic.session.login_session.logged_in_state as lst
import identity_server.logic.session.login_session.waiting_for_permission as wfp
from mongodb.Application import Application
from mongodb.ApplicationAccount import ApplicationAccount
from django.http.response import HttpResponse
import identity_... | aI-lab-glider/oauth2-server-implementation | identity_server/logic/session/login_session/initial_login_state.py | initial_login_state.py | py | 2,766 | python | en | code | 0 | github-code | 36 |
32716485591 | """ Image editing class for head to bot, time-trail, obstacle where
there is only single agent
"""
import datetime
import logging
import rospy
import cv2
from markov.log_handler.logger import Logger
from markov.utils import get_racecar_idx
from mp4_saving import utils
from mp4_saving.constants import (RaceCarColorToRG... | aws-deepracer-community/deepracer-simapp | bundle/src/deepracer_simulation_environment/scripts/mp4_saving/single_agent_image_editing.py | single_agent_image_editing.py | py | 13,347 | python | en | code | 79 | github-code | 36 |
42242738770 | #!/usr/bin/env python
import numpy
import scipy.integrate
from pylab import *
datafile="../../../Mathematica/calculated_vals.tsv"
tag,x,e,f = numpy.loadtxt("data.txt",unpack=True)
tags=numpy.unique(tag)
flimit = numpy.zeros(len(tags))
for i in range(0,len(tags)):
itag=tags[i]
inds = numpy.where(tag == itag)... | charlesblakemore/opt_lev_analysis | casimir/scuffCode/Comparison/byXi/plot_integrand.py | plot_integrand.py | py | 773 | python | en | code | 1 | github-code | 36 |
33517632306 | from manimlib.imports import *
class Limite4_1 (ThreeDScene):
def construct (self):
titulo=TextMobject('''Existencia del Límite en Infinito\n
de Funciones de $\\mathbb{R}^n$ $\\rightarrow$ $\\mathbb{R}$''').scale(1.5)
text=TextMobject("Sea $f:\\mathbb{R}^{n}\\rightarrow\... | animathica/calcanim | Límite y continuidad en funciones multivariable/limite_infinito_Rn-R.py | limite_infinito_Rn-R.py | py | 6,635 | python | en | code | 19 | github-code | 36 |
8721596981 | from scipy.misc import comb
def exp(p, n):
total = 0.0
for k in range(n+1):
total += comb(n, k, exact=False) * p**k * (1-p) ** (n-k)
return total
def main():
for p in [0.3, 0.75, 0.8, 1.0, 0.0, 0.5]:
for n in range(1, 20):
print('Checking n=%d, p=%f' % (n, p))
... | JelteF/statistics | 2/lab2_2_d.py | lab2_2_d.py | py | 395 | python | en | code | 0 | github-code | 36 |
31618957679 | import pickle
import os
import pprint
def save_dict_to_file(output):
global system_text
global list_of_files
file_ = f'{your_target_folder}/{list_of_files[i_file]}'
filename, file_extension = os.path.splitext(file_)
dict_data = {}
for line_ in output.splitlines():
key, value = line_.spl... | dochaauch/Tools_for_buh | Bonus_help.py | Bonus_help.py | py | 1,262 | python | en | code | 0 | github-code | 36 |
72219956265 | # one can of paint covers 5m^2 of wall, given a random height and width of wall
# calculate the minimum cans of paint to buy to fully cover the wall fully.
# define a function to take in inputs for width, height
# calculate the area of wall w*h, then calculate cans to buy rounded up to whole number
# output the number ... | ElliotMonde/py_udemy | print_debug_comment/get_paint_cans.py | get_paint_cans.py | py | 620 | python | en | code | 0 | github-code | 36 |
71685392105 | from turtle import *
def kwadrat(s,col):
pd()
fillcolor(col)
begin_fill()
for _ in range(4):
fd(s)
lt(90)
end_fill()
pu()
def trojkat(s,n,col):
x=position()
fd(s)
for i in range(n,0,-2):
for j in range(i):
kwadrat(s,col)
fd(s)
... | chinski99/minilogia | 2010/etap 3/kwadraty.py | kwadraty.py | py | 1,051 | python | en | code | 0 | github-code | 36 |
37502622427 | # https://school.programmers.co.kr/learn/courses/30/lessons/12981
def solution(n, words):
check = set()
check.add(words[0])
cnt = 2
for i in range(1, len(words)):
st, ed = words[i - 1], words[i]
if st[-1] != ed[0] or ed in check:
return [cnt % n if cnt % n else n, cnt // n +... | junsgi/Algorithm | Implementation/영어 끝말잇기.py | 영어 끝말잇기.py | py | 399 | python | en | code | 0 | github-code | 36 |
39060387909 | from numpy import arange,log,exp,r_
from matplotlib import pyplot as plt
from scipy.special import gamma
import Cua2008
from numpy import fft,sin,pi
from numpy.random import normal
duration=60
hf_dt=0.01
mean=0.0
std=1.0
num_samples = int(duration/hf_dt)
t=arange(0,duration,hf_dt)
noise = normal(mean, std, size=num_sa... | Ogweno/mylife | misc/windowing_test.py | windowing_test.py | py | 1,076 | python | en | code | 0 | github-code | 36 |
10905562253 | from pydantic import BaseModel
class SourceURL(BaseModel):
'''Source URL schema'''
source_url: str
class Config:
orm_mode = True
class URLInfo(SourceURL):
'''URL Information schema'''
short_url_key: str
short_url: str
| ScottyZA/backendend-challenge | url_shortener/schemas.py | schemas.py | py | 255 | python | en | code | 0 | github-code | 36 |
72300794345 | import sys
from osgeo import gdal, osr
class GDALUtilities:
"""
This class has the following capabilities
1. Get raster info
2. Read image band as an array
3. Reproject a raster
"""
def __init__(self, path):
self.path = path
def get_raster_info(self):
self.datas... | manojappalla/RSGIS-Tutorials | gdal_tutorials/gdal_utilities.py | gdal_utilities.py | py | 2,135 | python | en | code | 0 | github-code | 36 |
33654948642 | import unittest
from onnx import defs, helper
from onnx.onnx_pb2 import NodeProto
class TestRelu(unittest.TestCase):
def test_relu(self):
self.assertTrue(defs.has('Relu'))
node_def = helper.make_node(
'Relu', ['X'], ['Y'])
if __name__ == '__main__':
unittest.main()
| tianyaoZhang/myONNX | onnx/test/relu_test.py | relu_test.py | py | 307 | python | en | code | 0 | github-code | 36 |
20530887810 | #Annalisa Dattilio
#This program will allow the user to enter their size/measurements and be able to find their perfect size across online clothing stores domestically and internationally
mylist = list(("Nike", "Cotton On"))
for x in range(len(mylist)):
print(mylist[x])
#how to show only the sizes for store user s... | ADattilio88/SizeCalculator | integration sprint 1.py | integration sprint 1.py | py | 7,563 | python | en | code | 0 | github-code | 36 |
38660134742 | import logging
import sys
import click
import requests
from bs4 import BeautifulSoup
from telegram.ext import CommandHandler, Filters, MessageHandler, Updater
from tinydb import Query, TinyDB
db = TinyDB("db.json")
Job = Query()
TELEGRAM_BOT_TOKEN = None
class JobExistsException(Exception):
pass
def parse_re... | NiklasMM/ebk-bot | bot.py | bot.py | py | 5,611 | python | en | code | 0 | github-code | 36 |
38083425705 | #!/usr/bin/env python3
import os
import sys
import math
import struct
from migen import *
from migen.genlib.resetsync import AsyncResetSynchronizer
from litex.build.generic_platform import *
from litex.build.xilinx import XilinxPlatform
from litex.soc.cores.clock import *
from litex.soc.integration.soc_core import *... | kamejoko80/linux-on-litex-vexriscv-legacy | soc_builder/soc_generator.py | soc_generator.py | py | 10,332 | python | en | code | 0 | github-code | 36 |
23928535346 | # This is the python implementation of minesweeper
import random as rand
from tkinter import *
from functools import partial
def create_graph(w, h):
""" Function to create the graph for a board of n * n size """
graph = {}
for i in range(h):
for j in range(w):
neighbors = []
... | thalluricheritha/minesweeper | MineSweeperScript.py | MineSweeperScript.py | py | 6,181 | python | en | code | 0 | github-code | 36 |
5881104834 | import array
import binascii
import configparser
import datetime
import io
import logging
import os
import signal
import sys
import time
try:
import serial
except ImportError:
pass
ModulSerialMissing = True
################################################################################
# Constants
BUILDVERSION ... | nasrudin2468/pye-motion | pye-motion.py | pye-motion.py | py | 4,158 | python | en | code | 4 | github-code | 36 |
32624805079 | from torch import nn
import torch
import numpy as np
import os
class Encoder(nn.Module):
def __init__(self, latent_dims, qc_level):
super(Encoder, self).__init__()
dims = []
if qc_level == 1:
dims = [17, 24, 8, latent_dims]
elif qc_level == 2:
dims = [22, 36, 12, latent_dims]
elif qc... | chiyang/tmasque | tmasque/QualityEncoder.py | QualityEncoder.py | py | 8,839 | python | en | code | 0 | github-code | 36 |
2223043714 | def interleave_str(s1, s2, s3):
# can s3 be formed by interleaving s1 and s2 ?
n, m = len(s1), len(s2)
if len(s3) != n + m:
return False
dp = [False for _ in range(m + 1)]
for i in range(n + 1):
for j in range(m + 1):
if i == j ==0:
dp[j] = True
... | arrws/leetcode | dynamic/interleave_str.py | interleave_str.py | py | 661 | python | en | code | 0 | github-code | 36 |
22313884437 | from django.core.management.base import BaseCommand
from import_data.models import OuraMember, FitbitMember, GoogleFitMember
from retrospective.tasks import (
update_fitbit_data,
update_oura_data,
update_googlefit_data,
)
import time
import requests
class Command(BaseCommand):
help = "Updates all data... | OpenHumans/quantified-flu | import_data/management/commands/update_data_imports.py | update_data_imports.py | py | 1,148 | python | en | code | 24 | github-code | 36 |
25470793052 |
# Escrito por gilsilva20629@gmail.com _ gilberto.s@escolar.ifrn.edu.br
'''
3) Implemente um programa que leia uma palavra e verifique se a mesma é palíndromo.
Um palíndromo é uma palavra que pode ser lida igualmente de trás pra frente e de frente pra trás. Exemplo: arara.
'''
p = input('Digite uma palavra: ... | gilsilva20629/REDES-DE-COMPUTADORES | Gilberto_Silva_ead03.py | Gilberto_Silva_ead03.py | py | 491 | python | pt | code | 0 | github-code | 36 |
13918851672 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 3 13:07:13 2018
@author: marcos
"""
import pandas as pd
import csv
import pickle as pkl
import numpy as np
import scipy.stats as sts
from sklearn import preprocessing as prep
# =====================================================================... | mhfribeiro/safra-meta | modules/preprocess/dmt.py | dmt.py | py | 10,322 | python | en | code | 0 | github-code | 36 |
11514166585 | from hashlib import sha1
from json import dump
from os import makedirs
apps = {
'apps': [
'club.postdata.covid19cuba',
'com.codestrange.www.cuba_weather',
'com.cubanopensource.todo',
]
}
def main():
result = {}
makedirs('api', exist_ok=True)
with open(f'api/apps.json', mo... | leynier/cubaopenplay.github.io | app/main.py | main.py | py | 725 | python | en | code | 3 | github-code | 36 |
31521216432 | class Solution(object):
def countDigitOne(self, n):
"""
:type n: int
:rtype: int
"""
return self.c(n+1)
def c(self, n):
if n<=10:
return int(n>1)
head=int(str(n)[0])
tail=int(str(n)[1:] or 0)
full=int('1'+'0'*(len(str(n... | szhu3210/LeetCode_Solutions | LC/233.py | 233.py | py | 511 | python | en | code | 3 | github-code | 36 |
18526754583 | import logging
import tqdm
from multiprocessing import Pool
from dsrt.config.defaults import DataConfig
class Padder:
def __init__(self, properties, parallel=True, config=DataConfig()):
self.properties = properties
self.config = config
self.parallel = parallel
self.max_ule... | sbarham/dsrt | dsrt/data/transform/Padder.py | Padder.py | py | 2,765 | python | en | code | 1 | github-code | 36 |
22372717524 | import os
import sys
import time
import glob
import numpy as np
import torch
import utils
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.nn.functional as F
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
from torch.autograd import Variable
from model_searc... | importZL/LFM | NAS/darts-lfm/train_search_lfm.py | train_search_lfm.py | py | 15,995 | python | en | code | 0 | github-code | 36 |
7494741687 | """Train a model on Treebank"""
import random
import json
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.optim.lr_scheduler as sched
import torch.utils.data as data
import utils
from collections import OrderedDict
from tqdm import tqdm
fr... | Vincent25-Li/Treebank | train.py | train.py | py | 7,389 | python | en | code | 0 | github-code | 36 |
29055282773 | import io
import picamera
import cv2
import numpy
import serial
import time
import RPi.GPIO as gp
####### Servo Motor Contol #######
gp.setmode(gp.BOARD)
gp.setup(11, gp.OUT)
pwm=gp.PWM(11, 50)
pwm.start(3)
port = '/dev/ttyACM0'
Face = 0
turn=1
while(turn):
i=3
while(i):
#Create a memory stream... | FarhatBuet14/Rescue-BOT | Codes/main.py | main.py | py | 3,571 | python | en | code | 1 | github-code | 36 |
2811075086 | from torch import optim
from torch.distributions import Categorical
import importlib
class Model():
def __init__(self, config, modelParam, env):
self.update_counter = 0
if modelParam['cuda']['use_cuda']:
self.device = f"cuda:{modelParam['cuda']['device_idx']}"
else:
... | ivartz/IN9400_exercises | week14/exercise/policy_learning/utils/model.py | model.py | py | 1,937 | python | en | code | 1 | github-code | 36 |
74207456423 | import argparse
import logging
log_debug = logging.getLogger("debugLog")
_available_commands = ["list"]
def get_parser(parent=None):
# Anomaly commands
conf_file_parser = argparse.ArgumentParser(add_help=False)
conf_file_parser.add_argument('--config_file', '--config_path', help='Path to config file', ... | Ydjeen/openstack_anomaly_injection | openstack_anomaly_injection/anomaly_injection/node_control/config/argparser.py | argparser.py | py | 2,668 | python | en | code | 0 | github-code | 36 |
20761353624 | import math
import numpy as np
import statistics
import random
import time
import matplotlib.pyplot as plt
h = 40
limit_number_of_taken_values = 200
nb_of_initial_values = 100
nb_of_Dthet = 100
Dthets = [(i * 1 / nb_of_Dthet) for i in range(nb_of_Dthet)] # thet step for ARL function
# sigs = [(0.5 + i/nb_of_sensor... | gwenmaudet/PhD_main | detection_step_signal/GLR.py | GLR.py | py | 17,337 | python | en | code | 0 | github-code | 36 |
74361688425 | from datetime import datetime
import logging
from django.contrib.auth import authenticate
from django.core import serializers
from django.http import HttpResponse, HttpResponseBadRequest
from django.shortcuts import get_object_or_404
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth import l... | lepilepi/eturtle | server/api/views.py | views.py | py | 5,950 | python | en | code | 5 | github-code | 36 |
2515032447 | import sys
import seaborn as sns
import pandas as pd
import numpy as np
import scipy.stats
from collections import defaultdict
from matplotlib import pyplot as plt
from sklearn.metrics import r2_score, mean_absolute_error
#plt.style.use('seaborn-whitegrid')
#sns.set_theme()
#Function for creating a dictionary from the... | thek71/epiScripts | calculateCorrelationDensity.py | calculateCorrelationDensity.py | py | 3,000 | python | en | code | 0 | github-code | 36 |
25163328807 | import operator
import pandas as pd
from easul.action import ResultStoreAction
from easul.algorithm import StoredAlgorithm
from easul.algorithm.factor import OperatorFactor
from easul.data import DataSchema, DFDataInput
from easul.step import VisualStep
from easul.visual import Visual
from easul.visual.element import... | rcfgroup/easul | easul/tests/example.py | example.py | py | 21,533 | python | en | code | 1 | github-code | 36 |
496206437 | import os
import pytest
from dagster_aws.emr import EmrJobRunner, emr_pyspark_resource
from dagster_pyspark import pyspark_resource, pyspark_solid
from moto import mock_emr
from dagster import (
DagsterInvalidDefinitionError,
ModeDefinition,
RunConfig,
execute_pipeline,
pipeline,
)
from dagster.se... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-aws/dagster_aws_tests/emr_tests/test_pyspark.py | test_pyspark.py | py | 5,158 | python | en | code | 2 | github-code | 36 |
24205678140 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 26 13:21:56 2019
@author: nilose
"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import random
from scipy import stats
import scipy.integrate as integrate
def gauss(x,mu,sigma):
return (1/(np.sqrt(2*np.pi)*sigma))*... | NataliaDelCoco/FilamentAnalysis | KDE_RS_V2.py | KDE_RS_V2.py | py | 9,660 | python | en | code | 0 | github-code | 36 |
19739909449 | from vigilo.vigiconf.lib.confclasses.test import Test
class NTPSync(Test):
"""Check if a host's time is synchronized with the NTP server (using NRPE)"""
def add_test(self):
self.add_external_sup_service("NTP sync", "check_nrpe_1arg!check_ntp_time")
self.add_perfdata_handler("NTP sync", 'NTP-... | vigilo/vigiconf | src/vigilo/vigiconf/tests/all/NTPSync.py | NTPSync.py | py | 462 | python | en | code | 3 | github-code | 36 |
20886565147 | #!/usr/bin/env python
"""
Identifies groups of medium order (512, 1152, 1536, 1920, 2187, 6561, 15625, 16807, 78125, 161051)
by connecting to devmirror.lmfdb.xyz and using the stored hashes there.
Usage:
Either provide an input file with hashes to identify, one per line, each of the form N.i
./identify.py -i INPUT_F... | roed314/FiniteGroups | Code/identify.py | identify.py | py | 4,140 | python | en | code | 2 | github-code | 36 |
22283616647 | #!/Users/tnt/Documents/虚拟环境/Django/bin/python3
# -*- encoding: utf-8 -*-
# Time : 2021/05/27 08:04:03
# Theme : 循环链表
class Node():
def __init__(self, data):
self.data = data
self.next = next
class CircularLinkedList():
def __init__(self):
self.head = None
def append(self,... | Createitv/BeatyPython | 05-PythonAlgorithm/BasicDataStructure/linkedList/circular_linked_lists.py | circular_linked_lists.py | py | 5,011 | python | en | code | 1 | github-code | 36 |
71107235304 | # O(n^2) Time and O(1) Space best, average and worst.
def swap(x,y,arr):
arr[x], arr[y] = arr[y], arr[x]
def selectionSort(array):
currIdx = 0
while currIdx < len(array)-1:
smallestIdx = currIdx
for x in range(currIdx+1, len(array)):
if arr[smallesIdx] > arr[x]:
smallestIdx = x
swap(currI... | BrianAKass/algo-practice | 012 Seection Sort/Selection Sort.py | Selection Sort.py | py | 371 | python | en | code | 1 | github-code | 36 |
21892894147 | from django.urls import path
from accounts import views
app_name='accounts'
urlpatterns=[
path('register',views.register,name='register'),
path('login',views.login,name='login'),
path('logout',views.logout,name='logout'),
path('page1',views.page1,name='page1'),
path('r^create_view/',views.create_vie... | amalarosebenny/farming | collegeproject/accounts/urls.py | urls.py | py | 533 | python | en | code | 0 | github-code | 36 |
72164631784 | # -*- encoding: utf-8 -*-
# External imports
import requests
import json
import datetime
# ---------------------------------------- Ne pas mettre là
# # Load settings
# with open('settings.json', encoding="utf-8") as f:
# settings = json.load(f)
# # Get the original file
# API_KEY = settings["API_KEY"]
# TOKEN =... | Alban-Peyrat/Trello_API_interface | Trello_API_cards.py | Trello_API_cards.py | py | 3,799 | python | en | code | 0 | github-code | 36 |
70387249063 | from aplication.models import historical_record
from aplication.dto.dto_record import dto_record
import datetime as dt
def register(_record:dto_record):
historical = historical_record()
historical.registration_date = dt.date.today()
historical.registration_time = dt.datetime.now().strftime('%H:%M:%... | GustavoRosario/pass | pj/aplication/controles/record.py | record.py | py | 414 | python | en | code | 0 | github-code | 36 |
22377866084 | from django import forms
from django.db import transaction
from .models import CustomUser
from django.contrib.auth.forms import UserCreationForm,UserChangeForm
class CustomerSignUpForm(UserCreationForm):
class Meta:
model=CustomUser
fields = ('username', 'name', 'email', 'number', 'address')
@... | aditrisinha/Aagman | accounts/forms.py | forms.py | py | 807 | python | en | code | 0 | github-code | 36 |
37402801837 | from regression_tests import *
class TestDetection_QB64(Test):
settings = TestSettings(
tool='fileinfo',
input=files_in_dir('inputs'),
args='--json'
)
def test_detected_autoit(self):
qb64_recognized = False
self.assertTrue(self.fileinfo.succeeded)
for tool ... | avast/retdec-regression-tests | tools/fileinfo/detection/compilers/qb64/test.py | test.py | py | 504 | python | en | code | 11 | github-code | 36 |
36808295769 | import copy
from typing import Tuple, Union
from numbers import Number
import torchio as tio
from torchio.transforms.augmentation import RandomTransform
import torch
import numpy as np
class ReconstructMeanDWI(RandomTransform):
def __init__(
self,
full_dwi_image_name: str = "full_dwi",
... | efirdc/Segmentation-Pipeline | segmentation_pipeline/transforms/reconstruct_mean_dwi.py | reconstruct_mean_dwi.py | py | 6,434 | python | en | code | 1 | github-code | 36 |
13747681752 | import re
def grab_ip(file):
ips = []
occurence = {}
with open("/Users/rajekum/Documents/git/file.txt") as file:
for ip in file:
ip_data=re.findall(r'(?:[\d]{1,3})\.(?:[\d]{1,3})\.(?:[\d]{1,3})\.(?:[\d]{1,3})',ip)
for i in ip_data:
ips.append(i)
for ip... | rajekum/Test | bluestackdemo.py | bluestackdemo.py | py | 649 | python | en | code | 0 | github-code | 36 |
26307003757 | # from logger import get_logger
from time import time
import re
class Flow:
def __init__(self, logger, flow):
self._name = None
self.LOGGER = logger
self._flow_config = flow
self._last_run_timestamp = None
self._name = str(flow['name'])
self._params = tuple(flow['p... | ivanpavlina/DataScrapper | lib/flow.py | flow.py | py | 6,396 | python | en | code | 0 | github-code | 36 |
2026891662 | import argparse
import torch
from torch.autograd import Variable
from network_prep import create_loaders, prep_model, create_classifier
def get_input_args():
parser = argparse.ArgumentParser(description='Get NN arguments')
parser.add_argument('data_dir', type=str, help='mandatory data directory')
pars... | hikaruendo/udacity | ai programming with python1/train.py | train.py | py | 6,086 | python | en | code | 0 | github-code | 36 |
28516429877 | bins = [2, 3, 6, 10, 20, 50, 100]
bins_str = [str(i) for i in bins]
bin_pre = None
bin_var = 'establishment.employment_lag1'
lower_bound = ['(%s >= %s)' % (bin_var, bin) for bin in bins]
upper_bound = ['(%s < %s)' % (bin_var, bin) for bin in bins[1:]] + ['']
vars = []
for bin, l, u in zip(bins_str, lower_bound, upper_b... | psrc/urbansim | paris/establishment/aliases.py | aliases.py | py | 1,062 | python | en | code | 4 | github-code | 36 |
39056592319 | from numpy import array,zeros
from matplotlib import pyplot as plt
num='0016'
path='/Users/dmelgar/Slip_inv/Amatrice_3Dfitsgeol_final1/output/inverse_models/models/_previous/'
root1='bigkahuna_vrtest3win_vr'
root2='.'+num+'.log'
vr=array([1.6,1.8,2.0,2.2,2.4,2.6])
vr_static=zeros(len(vr))
vr_insar=zeros(len(vr))
vr_v... | Ogweno/mylife | amatrice/plot_vr_test.py | plot_vr_test.py | py | 935 | python | en | code | 0 | github-code | 36 |
4489955191 | """
Name : test_addmember.py
Author : Tiffany
Time : 2022/8/1 19:02
DESC:
"""
import time
import yaml
from faker import Faker
from selenium import webdriver
from selenium.common import StaleElementReferenceException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_condition... | TiffanyWang1108/web_camp | prepare/test_case/test_addmember.py | test_addmember.py | py | 3,698 | python | en | code | 0 | github-code | 36 |
73818234985 | import requests
from bs4 import BeautifulSoup
from database import DataBase
from log import log
from scrape import Scrape
class Flipkart(Scrape):
def formatData(self, soupText):
"""
This function extracts specific information from the `soupText` object and returns it in a formatted manner.
... | ujitkumar1/ramranger | src/flipkart_scrape.py | flipkart_scrape.py | py | 3,338 | python | en | code | 0 | github-code | 36 |
35051050576 | import torch
import torchsl
from torchsl._extensions import _has_ops
from ._helpers import *
__all__ = ['lpp']
# ===========================================================
# Locality Preserving Projection
# ===========================================================
# noinspection DuplicatedCode
def lpp(X):
# ... | inspiros/pcmvda | torchsl/ops/subspace_learning/lpp.py | lpp.py | py | 608 | python | en | code | 1 | github-code | 36 |
34773386089 | from flask import Flask, render_template
from bs4 import BeautifulSoup
import requests, json
def scrapCars():
source = requests.get('https://www.izmostock.com/car-stock-photos-by-brand').text
soup = BeautifulSoup(source, 'lxml')
my_table = soup.find('div', {'id': 'page-content'})
links = my_tab... | tech387-academy-python/PythonAppDemo | webscraper.py | webscraper.py | py | 537 | python | en | code | 0 | github-code | 36 |
72284442024 | import kth_native as nat
import sys
import time
import asyncio
import kth
# def fetch_last_height_async(chain):
# loop = asyncio.get_event_loop()
# fut = loop.create_future()
# nat.chain_fetch_last_height(chain, lambda err, h: fut.set_result((err, h)))
# return fut
def generic_async_1(func, *args):
... | k-nuth/py-api | kth/chain/chain.py | chain.py | py | 14,093 | python | en | code | 0 | github-code | 36 |
37502388397 | check = [0] * 10001
visit = [0] * 10001
check[1] = 1
for i in range(4, 10001, 2): check[i] = 1
for i in range(3, 10001, 2):
swi = 0
if check[i]: continue
for j in range(2, i):
if i * i < j or i % j == 0:
swi = 1
break
if not swi:
for j in range(i + i, 10001, i)... | junsgi/Algorithm | BackTracking/소-난다!.py | 소-난다!.py | py | 774 | python | en | code | 0 | github-code | 36 |
18252621901 | from typing import List
class Solution:
def minStartValue1(self, nums: List[int]) -> int:
n = len(nums)
m = 100
left = 1
right = m * n + 1
while left < right:
middle = (left + right) // 2
total = middle
is_valid = True
for num... | hujienan/Jet-Algorithm | leetcode/1413. Minimum Value to Get Positive Step by Step Sum/index.py | index.py | py | 951 | python | en | code | 0 | github-code | 36 |
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