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
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
4034762044 | """
Utilities for point clouds.
Code modified from Jiayuan Gu.
"""
import numpy as np
def pad_or_clip(array: np.array, n: int, fill_value=0):
"""Pad or clip an array with constant values.
It is usually used for sampling a fixed number of points.
"""
if array.shape[0] >= n:
return array[:n]
... | hansongfang/CompNet | common_3d/utils/pc_utils.py | pc_utils.py | py | 1,881 | python | en | code | 33 | github-code | 6 |
25050908902 | import threading
from threading import*
import time
#dictionary for storing key value data
dict={}
def create(key,value,timeout=0):
if key in dict:
print("error: this key already exists")
else:
if(key.isalpha()):
#checking the size of file and JSON object
... | Akhileshpm/file-based-key-value-store | main.py | main.py | py | 2,618 | python | en | code | 2 | github-code | 6 |
10423084443 | from __future__ import annotations
import dataclasses
from typing import TYPE_CHECKING
from unittest.mock import MagicMock, PropertyMock
import pytest
from randovania.exporter import pickup_exporter
from randovania.game_description import default_database
from randovania.game_description.assignment import PickupTarg... | randovania/randovania | test/games/dread/exporter/test_dread_patch_data_factory.py | test_dread_patch_data_factory.py | py | 12,949 | python | en | code | 165 | github-code | 6 |
11816055102 | import os
import sys
from threading import Thread
case = []
for item in os.listdir(sys.argv[1]):
if os.path.isdir(sys.argv[1] + '//' + item) and item != "banira_files":
case.append(item)
num = 0
if len(case) > 3:
if len(case) % 3 == 0:
num = len(case) // 3
else:
num = len(case) // ... | cchenyixuan/Banira | utils/interpolation_runner.pyw | interpolation_runner.pyw | pyw | 1,685 | python | en | code | 0 | github-code | 6 |
37616517604 | from time import sleep
from signal import pause
from gpiozero import LED
from gpiozero import Button
from pygame import mixer
mixer.init()
placeholder = mixer.Sound('placeholder.wav')
ph_len = placeholder.get_length()
led = LED(25)
btn = Button(4)
while True:
btn.wait_for_press()
print("Initialized")
b... | Aahil52/animatronics2022 | testscripts/soundandlightstest.py | soundandlightstest.py | py | 516 | python | en | code | 0 | github-code | 6 |
30023024204 | import os
import glob
import numpy as np
from scipy.stats import norm
import json
class WarpedSpace:
# takes a prior as a dict and returns a scipy normal distribution
@staticmethod
def create_distribution(prior):
means = []
stds = []
ranges = []
for key in sorted(prior... | piboauthors/PiBO-Spearmint | spearmint/warping.py | warping.py | py | 3,633 | python | en | code | 0 | github-code | 6 |
50818241 | #
# @lc app=leetcode.cn id=754 lang=python3
#
# [754] 到达终点数字
#
# @lc code=start
class Solution:
def reachNumber(self, target: int) -> int:
# due to symmetry
target = abs(target)
x = count = 0
def dfs(x, target, count):
# base case
if x > target:
... | code-cp/leetcode | solutions/754/754.到达终点数字.py | 754.到达终点数字.py | py | 623 | python | en | code | 0 | github-code | 6 |
13160016876 | from django.shortcuts import render
from subscribers.models import subscriberForm
from subscribe.settings import EMAIL_HOST_USER
from django.core.mail import send_mail,BadHeaderError
# Create your views here.
def index(request):
form=subscriberForm()
return render(request,"index.html",{"form":form})
... | pawankushwah850/Emailsubscriber | subscribers/views.py | views.py | py | 1,862 | python | en | code | 1 | github-code | 6 |
40369313075 | while True:
try:
# 1. Преобразование введённой последовательности в список
spisok = [int(c) for c in input('Введите последовательность чисел через пробел: ').split()]
except ValueError:
print("Это неправильный ввод! Введите данные согласно условий ввода!")
else:
break
while T... | sigmaclap/PythonTasks | 17.9.1/17.9.py | 17.9.py | py | 2,120 | python | ru | code | 0 | github-code | 6 |
13750197452 | from abc import ABC, abstractmethod
class Notification(ABC):
def __init__(self, msg) -> None:
self.msg = msg
@abstractmethod
def send(self) -> bool: ...
class EmailNotification(Notification):
def send(self) -> bool:
print(f'Enviando e-mail de notificação... {self.msg}')
retu... | daugbit/Cursos | Python_3_Udemy/ex029_polimorfismo.py | ex029_polimorfismo.py | py | 859 | python | pt | code | 0 | github-code | 6 |
23156107935 | from flask import Flask
from main import main
from mypage import mypage
from challengedetail import challengedetail
from flask import Flask, render_template, jsonify, request, session, redirect, url_for
from db import db
app = Flask(__name__)
# JWT 토큰을 만들 때 필요한 비밀문자열입니다. 아무거나 입력해도 괜찮습니다.
# 이 문자열은 서버만 알고있기 때문에, 내 서버에서... | cchloe0927/Mallenge | app.py | app.py | py | 6,984 | python | ko | code | 2 | github-code | 6 |
25969778046 | import requests
from bs4 import BeautifulSoup
import pandas as pd
#程式欢迎语
print("**欢迎来到UCAR爬虫程式**")
print("\n")
#将资料存入建立好的list
titles = []
date = []
url_list = []
clicks =[]
replys = []
#自定义查询关键字及日期区间
x = str(input("请输入想爬取的关键字："))
print("日期格式输入范例(YYYYMMDD)：20200715")
print("\n")
start_date = int(input("请输入想爬取的起始日期："... | weiweibro87777/UCAR_web-crawler | ucar.py | ucar.py | py | 3,533 | python | zh | code | 1 | github-code | 6 |
9002196810 | from ast import parse
import pathlib
import configparser
import shutil
import enum
from sre_constants import CATEGORY
output = pathlib.Path("./.out")
shutil.rmtree(output, ignore_errors=True)
output.mkdir(exist_ok=True)
book_counter = 0
cfg = configparser.ConfigParser()
cfg.read(".input.ini", encoding="utf-8")
wit... | diraven/zomegen | books/__main__.py | __main__.py | py | 1,440 | python | en | code | 0 | github-code | 6 |
9658653690 | import matplotlib.pyplot as plt
import scipy.signal as ss
import numpy as np
import math
window_size = 55
'------------------------------------------------------------------------------'
# opis: oblicza i zwraca pochodna sygnalu.
# nazwa funkcji: FUNC_diff
# parametry:
# ecg_filtered - numpy 1D array
#... | sebastianczuma/r_peaks | R_PEAKS_old.py | R_PEAKS_old.py | py | 9,657 | python | en | code | 1 | github-code | 6 |
71082529147 | from classes.rayon import *
from processing.analysis import intersect
def rayon_direct(start_point,end_point, murs):
#renvoie le rayon direct (dans une liste)
list_rayon = []
nouveau_rayon = Rayon(start_point)
nouveau_rayon.add_point_principal(end_point)
nouveau_rayon.find... | bjoukovs/PHYSRayTracing2017 | processing/direct.py | direct.py | py | 445 | python | en | code | 0 | github-code | 6 |
13415300522 | # -*- coding: utf-8 -*-
"""
@author: Taoting
将用coco格式的json转化成labeime标注格式的json
"""
import json
import cv2
import numpy as np
import os
#用一个labelme格式的json作为参考，因为很多信息都是相同的，不需要修改。
def reference_labelme_json():
ref_json_path = './bin/25.json'
data=json.load(open(ref_json_path))
return data
def labe... | Tommy-Bie/Logistics-Package-Separation-Software | DatasetUtils/coco2labelme.py | coco2labelme.py | py | 2,887 | python | en | code | 1 | github-code | 6 |
5782054342 | from django.contrib import admin
from .models import Listing
# change Register your models data's list views attribite.
class ListingAdmin(admin.ModelAdmin):
list_display = ('id', 'title', 'is_published', 'price', 'list_date', 'realtor') # display items
list_display_links = ('id', 'title', 'realtor') #clic... | MonadWizard/django_HouseSellRealEstate_project | listings/admin.py | admin.py | py | 671 | python | en | code | 3 | github-code | 6 |
5073225844 | import urllib, urllib.request
from datetime import datetime
def get_data(province_id): # Отримання тестових даних із WEB-сторінки
url = 'https://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/get_TS_admin.php?country=UKR&provinceID={}&year1=1981&year2=2020&type=Mean'.format(province_id)
# Відкриття WEB-сторінки м... | DJeik7/lab2 | Ad1.py | Ad1.py | py | 1,504 | python | uk | code | 0 | github-code | 6 |
70879486268 | from enum import Enum
class Color(Enum):
WHITE = True
BLACK = False
class Direction(Enum):
EAST = "e"
SOUTH_EAST = "se"
SOUTH_WEST = "sw"
WEST = "w"
NORTH_WEST = "nw"
NORTH_EAST = "ne"
class Coordinate:
# Using axial coordinates
# https://www.redblobgames.com/grids/hexagons... | cj81499/advent-of-code | src/aoc_cj/aoc2020/day24.py | day24.py | py | 4,291 | python | en | code | 2 | github-code | 6 |
20651798683 | import math
import random
import numpy as np
from itertools import combinations
from copy import deepcopy
class Node:
def __init__(self):
self.parent = None
self.state = []
self.children = []
self.fully_expanded = False
self.Q = 0
self.N = 0
def... | shaido987/riskloc | algorithms/hotspot.py | hotspot.py | py | 8,100 | python | en | code | 93 | github-code | 6 |
37175527133 | from jd.api.base import RestApi
class ComJdStockShopGlobalWebOpenWarehouseFacadeAddStoreRequest(RestApi):
def __init__(self,domain,port=80):
"""
"""
RestApi.__init__(self,domain, port)
self.storeName = None
self.remark = None
self.venderId = None
self.storeId = None
def getapiname(self):
r... | PsKs/jd-sdk | jd/api/rest/ComJdStockShopGlobalWebOpenWarehouseFacadeAddStoreRequest.py | ComJdStockShopGlobalWebOpenWarehouseFacadeAddStoreRequest.py | py | 405 | python | en | code | 1 | github-code | 6 |
22093759735 | import pandas as pd
from sklearn import svm
import statistics
data = pd.read_csv('cleaned_LaptopDataset.csv')
t = statistics.median(data['latest_price'])
h = []
from sklearn import preprocessing
le = preprocessing.LabelEncoder()
for x in data.latest_price:
if (x >= t):
h.append(1... | mohamedezzeldeenhassanmohamed/Data-Mining-Project | svm.py | svm.py | py | 1,007 | python | en | code | 0 | github-code | 6 |
720316267 | # BFD - Bidirectional Forwarding Detection - RFC 5880, 5881
# scapy.contrib.description = BFD
# scapy.contrib.status = loads
from scapy.packet import *
from scapy.fields import *
from scapy.all import * # Otherwise failing at the UDP reference below
class BFD(Packet):
name = "BFD"
fields_desc = [
... | p4lang/scapy-vxlan | scapy/contrib/bfd.py | bfd.py | py | 1,129 | python | en | code | 33 | github-code | 6 |
31472363916 | # Code adapted from https://www.codeproject.com/Articles/5297227/Deep-Learning-for-Fashion-Classification
# import tensorflow.keras as keras
import os
import matplotlib.pyplot as plt
import matplotlib.image as img
import tensorflow as tf
import keras
import numpy as np
from keras.preprocessing.image import ImageDataGe... | nnanna217/msc-image-search | func/my_samples/cp_fashion-classifier.py | cp_fashion-classifier.py | py | 4,162 | python | en | code | 0 | github-code | 6 |
10713768489 | from scipy import stats, signal
from collections import defaultdict
import numpy as np
from tqdm.notebook import tqdm
import pandas as pd
from src import config
from src.FFT import FFTAnalysis as FFT
def _extractTimeDomainFeatures(sig):
''' Extracts time domain features from one vibration signal'''
# Get ti... | Miltos-90/Bearing_Fault_Classification | src/feature_extraction.py | feature_extraction.py | py | 4,432 | python | en | code | 0 | github-code | 6 |
34668621923 | from django.urls import path
from django.conf.urls import url
from . import views
app_name = 'choistick'
urlpatterns = [
path('', views.index, name='index'),
path('map/', views.map, name='map'),
path('join/', views.signup, name='join'),
path('pick/', views.pick, name='pick'),
path('warn/', views.warn, name='warn... | jaemin8852/Search_Location | choistick/urls.py | urls.py | py | 421 | python | en | code | 0 | github-code | 6 |
13300386404 | #!/usr/bin/python3
import _thread
import re, time, cv2, serial
'''
ServoController interfaces with the arduino board to control the servo motor over
USB serial coms
'''
class ServoController:
def __init__(self):
self.ser = serial.Serial('com3', 9600, timeout=0.5)
def __enter__(s... | bradys/cat-cam | Cat_Cam.py | Cat_Cam.py | py | 6,213 | python | en | code | 0 | github-code | 6 |
21806540252 | from jetracer.nvidia_racecar import NvidiaRacecar
import time
import sys
from multiprocessing import Process, Value
import zmq
import Jetson.GPIO as GPIO
pinrun = 'DAP4_SCLK' #12
pinbouton = 'SPI2_SCK' #13
pinau = 'SPI2_CS1' #16
autrepin = 'SPI2_CS0' #18
GPIO.setmode(GPIO.TEGRA_SOC)
GPIO.setup(pinrun, GPIO.OUT)
GPIO... | SpaceLabsfr/BlockApp | serveur-blockapp.py | serveur-blockapp.py | py | 2,553 | python | en | code | 0 | github-code | 6 |
40678810913 | import argparse
import json
import os
import platform
import subprocess
from typing import List
HOST_MAGMA_ROOT = '../../../.'
def main() -> None:
""" Run main"""
args = _parse_args()
if args.mount:
_run(['up', '-d', 'test'])
_run(['exec', 'test', 'bash'])
_down(args)
elif a... | magma/magma | feg/gateway/docker/build.py | build.py | py | 4,696 | python | en | code | 1,605 | github-code | 6 |
27213803395 | def solution(n, words):
word_set = {words[0]}
n_cnt = [0] * (n + 1)
n_cnt[1] += 1
for i in range(1, len(words)):
num = i % n + 1
if words[i][0] != words[i - 1][-1] or words[i] in word_set:
return [num, n_cnt[num] + 1]
else:
word_set.add(words[i])
... | hammii/Algorithm | Programmers_python/영어_끝말잇기.py | 영어_끝말잇기.py | py | 360 | python | en | code | 2 | github-code | 6 |
34861772057 | from statuspage.forms import StatusPageModelForm
from utilities.forms import StaticSelect
from ..models import UptimeRobotMonitor
__all__ = (
'UptimeRobotMonitorForm',
)
class UptimeRobotMonitorForm(StatusPageModelForm):
fieldsets = (
('UptimeRobot Monitor', (
'component', 'metric', 'paus... | Status-Page/Status-Page | statuspage/sp_uptimerobot/forms/models.py | models.py | py | 578 | python | en | code | 45 | github-code | 6 |
5308571260 | n, c = map(int, input().split())
location = []
for _ in range(n):
location.append(int(input()))
location.sort()
# gap 최소값
start = location[1]-location[0]
# gap 최대값
end = location[-1] - location[0]
result = 0
while (start <= end):
# gap의 중간 값
mid = (start + end) // 2
value = location[0]
cnt = 1
... | louisuss/Algorithms-Code-Upload | Python/DongbinBook/binary_search/find_router.py | find_router.py | py | 810 | python | ko | code | 0 | github-code | 6 |
36076011155 |
# -*- coding: utf-8 -*-
from flask import Flask, render_template, request,jsonify, redirect,url_for
from json import dumps
import celery , sys
from celeryconfig import appcelery
from Buscador import tasks
import time, json
app = Flask(__name__)
@app.route('/datos', methods=['GET', 'POST'])
def recibirInformacion():
... | AntonioAlcM/tfg_ugr | backend/tratamientoDatos.py | tratamientoDatos.py | py | 2,620 | python | pt | code | 1 | github-code | 6 |
44633342253 | from typing import List
from torch import optim
from torch.optim.optimizer import Optimizer
from torch_geometric.data.data import Data
from src.dataset import citeSeer
from src.model import GAT
import torch
import torch.nn.functional as F
from torch_geometric.data import Dataset
EPOCH = 200
# --- da... | February24-Lee/gnn_research | test_gat_exmaple.py | test_gat_exmaple.py | py | 1,645 | python | en | code | 0 | github-code | 6 |
18732949012 | import json
import numpy as np
import util
class AudfprintAligner:
matches = {}
def __init__(self, matchfile):
with open(matchfile) as f:
for x, ys in json.load(f).iteritems():
for y, m in ys.iteritems():
m = m[0]
if "Matched" in m:
... | grateful-dead-live/meta-alignment | audfprint_aligner.py | audfprint_aligner.py | py | 1,407 | python | en | code | 0 | github-code | 6 |
24150609056 | import requests
import random
from utils.others import get_atitle, get_genre, get_t_from_u, get_urls
from utils.anilist import Anilist
from utils.techzapi import TechZApi
def get_genre_html(li):
x = """<a>{}</a>"""
html = ""
for i in li:
html += x.format(i.strip())
return html
def get_eps_... | TechShreyash/AnimeDex | utils/html_gen.py | html_gen.py | py | 10,463 | python | en | code | 186 | github-code | 6 |
5991002670 | from collections import OrderedDict
from itertools import chain
from .types import Vsn, MatrixID, PacketClass
from .patches import patch
from .cache import from_page, get_page
from .sources import version_urls
from .parsers import pre_versions, pre_packets, rel_version, rel_packets
from .parsers import first_heading
... | joodicator/mc-dev-data | mcdevdata/matrix.py | matrix.py | py | 7,498 | python | en | code | 1 | github-code | 6 |
34161150799 | from ninjaopenfoam import Case, Gnuplot, GmtPlot, GmtPlotCopyCase, PDFLaTeXFigure
import os
class SchaerWaves:
def __init__(self):
self.linearUpwindW()
self.cubicFitW()
self.charneyPhillipsW()
def linearUpwindW(self):
self.btf300dzLinearUpwind = GmtPlotCopyCase(
... | hertzsprung/thesis | generators/schaerWaves.py | schaerWaves.py | py | 3,873 | python | en | code | 0 | github-code | 6 |
73526486907 | import os.path
import pandas as pd
def loadEgPed():
'''Load example pedigree data.
'''
basepath = os.path.abspath(__file__)
folder = os.path.dirname(basepath)
data_path = os.path.join(folder, 'data/ped.txt')
text = pd.read_table(data_path,header=0)
return text
def loadEgGeno():
'''Load... | zhaow-01/PyAGH | PyAGH/loaddata.py | loaddata.py | py | 512 | python | en | code | 4 | github-code | 6 |
74281107067 | from typing import Any, List
from fastapi import APIRouter, HTTPException, Depends
from apps.auth.model import User
from apps.bank.cruds import invoice
from apps.bank.schemas.invoice import InvoiceUpdate, InvoiceView, InvoiceCreate, InvoiceViewFull
from core.security import current_user_is_banker, get_current_user
r... | MojsaKirill/CRUD | app/api/api_v1/endpoints/invoices.py | invoices.py | py | 2,101 | python | en | code | 0 | github-code | 6 |
73084758907 | import pandas as pd
# import requests
import sys
import collections
# import urllib.request
import json
# url = 'http://loterias.caixa.gov.br/wps/portal/loterias/landing/lotofacil/!ut/p/a1/04_Sj9CPykssy0xPLMnMz0vMAfGjzOLNDH0MPAzcDbz8vTxNDRy9_Y2NQ13CDA0sTIEKIoEKnN0dPUzMfQwMDEwsjAw8XZw8XMwtfQ0MPM2I02-AAzgaENIfrh-FqsQ9w... | daklima/bootcamp-engdados-oct22 | A001/main.py | main.py | py | 3,954 | python | en | code | 0 | github-code | 6 |
26596833071 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
# Import libraries
import matplotlib.pyplot as plt
import matplotlib.animation as animate
import matplotlib.lines as mlines
import agentframework
import csv
# Request input from user for number of heroes and enemies
print("Welcome to the h... | emilyjcoups/Agent_Based_Model | model.py | model.py | py | 5,535 | python | en | code | 0 | github-code | 6 |
16986332004 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator
from numpy.lib.shape_base import split
import math
import cmath
def get_MSI (matrix, f, tau, iterCnt): #method of simple iterations
n = np.size(f)
B = np.diagflat([1] * n) - tau * matrix
... | Nevtod/Labs | ComputingMath/lab1/Computing_math.py | Computing_math.py | py | 3,874 | python | en | code | 0 | github-code | 6 |
650459657 | #! /bin/python
import os
import sys
import json
import luigi
import nifty.tools as nt
import elf.skeleton.io as skelio
from elf.skeleton import skeletonize as skel_impl, get_method_names
import cluster_tools.utils.volume_utils as vu
import cluster_tools.utils.function_utils as fu
from cluster_tools.cluster_tasks im... | constantinpape/cluster_tools | cluster_tools/skeletons/skeletonize.py | skeletonize.py | py | 7,301 | python | en | code | 32 | github-code | 6 |
35632930544 | """
ID: detrime1
LANG: PYTHON3
TASK: friday
"""
import sys,os.path
from collections import *
if os.path.exists('friday.in'):
sys.stdin = open('friday.in', 'r')
sys.stdout = open('friday.out', 'w')
def detri():
n = int(input())
weekDays = [0]*7
monthDays = [31,28,31,30,31,30,31,31,30,31,30,31]
day = 2
for... | llxSKyWALKeRxll/USACO_Training | Chapter 1/Friday The Thirteenth/friday.py | friday.py | py | 1,458 | python | en | code | 0 | github-code | 6 |
37169471952 | from flask import request
from flask_restx import Resource
from ..service.auth_service import Auth
from ..util.decorator import admin_token_required
from ..service.user_service import save_new_user, get_a_user
from ..util.dto import AuthDto
api = AuthDto.api
user_auth = AuthDto.user_auth
user_token = AuthDto.user_tok... | miteshnath/flask-admin-jwt | app/main/controller/auth_controller.py | auth_controller.py | py | 2,367 | python | en | code | 1 | github-code | 6 |
70835853948 | import csv
import argparse
import os
import sys
import numpy as np
import torch
import torch.cuda
from PIL import Image
from torch.autograd import Variable
from torchvision.transforms import transforms
from my.yolov3.easy.net.load_net import load_net
from PIL import Image
image_size = (96, 96)
test_transformations... | NJUCoders/commodity-classification-hard | easy/predict.py | predict.py | py | 1,931 | python | en | code | 0 | github-code | 6 |
20044628025 | houses = [[3,7],[1,9],[2,0],[5,15],[4,30]]
# houses = [[1,2],[2,3],[3,1],[4,20]]
d = {}
for i in houses:
d[i[0]] = i[1]
SortedDict = {k: v for k, v in sorted(d.items(), key=lambda item: item[1])}
print(SortedDict)
fList = []
finalList = []
for j in SortedDict:
fList.append(j)
print(fList)
finalList = fList[-2:... | Elevenv/Placement-Stuff | house.py | house.py | py | 418 | python | en | code | 1 | github-code | 6 |
811036516 | '''Process Restricted Friend Requests
https://leetcode.com/problems/process-restricted-friend-requests/
You are given an integer n indicating the number of people in a network. Each person is labeled from 0 to n - 1.
You are also given a 0-indexed 2D integer array restrictions, where restrictions[i] = [xi, yi] means ... | Saima-Chaity/Leetcode | Graph/Process Restricted Friend Requests.py | Process Restricted Friend Requests.py | py | 2,945 | python | en | code | 0 | github-code | 6 |
36255805376 | import boto3
import json
import os
dynamodb = boto3.resource('dynamodb')
client = boto3.client('dynamodb')
USERS_TABLE = dynamodb.Table(os.environ['USERS_TABLE'])
def delete_user_service(event, context):
try:
response = USERS_TABLE.update_item(
Key={
'userId': event['pathParam... | Glendid/glendid-app-users | src/services/DeleteUser.py | DeleteUser.py | py | 875 | python | en | code | 0 | github-code | 6 |
4388139380 | # -*- coding: utf-8 -*-
#------------------------------------------------------------
# pelisalacarta - XBMC Plugin
# Conector para blip.tv
# http://blog.tvalacarta.info/plugin-xbmc/pelisalacarta/
#------------------------------------------------------------
import re
import urllib
try:
from core import scrapertoo... | TuxRneR/pelisalacarta-personal-fork | tags/xbmc-addons/plugin.video.pelisalacarta/servers/bliptv.py | bliptv.py | py | 1,763 | python | en | code | 0 | github-code | 6 |
17007776735 | import requests
import bs4
import urllib
def spider(max_pages):
for page in range(1, max_pages + 1):
query = urllib.parse.urlencode({'query':u'대선후보'})
url = 'http://news.naver.com/main/search/search.nhn?query=' + '%B4%EB%BC%B1%C8%C4%BA%B8'
source_code = requests.get(url)
plain_text ... | masonHong/INU-Study | C Team(Hong, Heo)/Crowaling/Practice 1.py | Practice 1.py | py | 668 | python | en | code | 0 | github-code | 6 |
72112922749 | import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
# import snntorch
import pandas as pd
import tqdm
import argparse
from . import p_snu_layer
class SNN_Net(torch.nn.Module):
def __init__(self, inputs_num = 4, hidden_num = 4, outputs_num = 3 ,l_tau... | GTAKAGI/PSNN | snn_model/network.py | network.py | py | 3,693 | python | en | code | 0 | github-code | 6 |
71271557629 | class Solution:
def findMaxForm(self, strs: List[str], m: int, n: int) -> int:
dp = [[0] * (n+1) for _ in range(m+1)]
counter=[[s.count("0"), s.count("1")] for s in strs]
for zeroes, ones in counter:
for i in range(m, zeroes-1, -1):
for j in range(n, ones... | anubhavsrivastava10/Leetcode-HackerEarth-Solution | Leetcode/May 2022/23)474. Ones and Zeroes.py | 23)474. Ones and Zeroes.py | py | 451 | python | en | code | 9 | github-code | 6 |
27390116761 | # 2SUM
# http://rosalind.info/problems/2sum/
from utilities import get_file, get_answer_file
def two_sum(num_array):
minus_set = set(-i for i in num_array)
for i, value in enumerate(num_array):
if value in minus_set:
try:
j = num_array.index(-value, i+1)
except ... | Delta-Life/Bioinformatics | Rosalind/Algorithmic Heights/code/2SUM.py | 2SUM.py | py | 761 | python | en | code | 0 | github-code | 6 |
11547913275 | # This file is part of RADAR.
# Copyright (C) 2019 Cole Daubenspeck
#
# RADAR is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later versio... | Sevaarcen/RADAR | cyber_radar/helpers/target_prioritizer.py | target_prioritizer.py | py | 4,715 | python | en | code | 2 | github-code | 6 |
23468677797 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('tapp', '0005_comment_end_i'),
]
operations = [
migrations.AlterModelOptions(
name='essay',
options={... | rihakd/textAnalyticsDjango | TA/tapp/migrations/0006_auto_20151119_1941.py | 0006_auto_20151119_1941.py | py | 386 | python | en | code | 0 | github-code | 6 |
26225231093 | s = open('Day14.txt').read()
def twist(a, n):
return a[:n][::-1] + a[n:]
def skip(a, k):
return a[k:] + a[:k]
def knot(a, x):
p = k = 0
for i in x:
a = skip(twist(skip(a, p), i), -p)
p = (p + i + k) % len(a)
k += 1
return a
def densehash(a):
return list(map(
... | pirsquared/Advent-of-Code | 2017/Day14.py | Day14.py | py | 1,621 | python | en | code | 1 | github-code | 6 |
73549612348 | import pandas as pd
import numpy as np
import io
import requests
from sklearn.tree import DecisionTreeClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.preprocessing... | aslakey/CBM_Encoding | lead_scoring_computation_time.py | lead_scoring_computation_time.py | py | 3,159 | python | en | code | 18 | github-code | 6 |
75132007548 | from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split # model_selection模型选择过程中各种数据分割的类与函数
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression, SGDRegressor, LogisticRegression # 线性回归
# externals是外部的、外部扩展的意思
fr... | hahahei957/NewProject_Opencv2 | 机器学习/19_线性回归.py | 19_线性回归.py | py | 5,679 | python | zh | code | 0 | github-code | 6 |
8694936867 | from django.urls import path
from . import views
urlpatterns = [
path("", views.index, name="index"),
path("login", views.login_view, name="login"),
path("logout", views.logout_view, name="logout"),
path("register", views.register, name="register"),
path("newListing", views.newForm, name="new"),
... | SHorne41/Project-2-Commerce | auctions/urls.py | urls.py | py | 1,046 | python | en | code | 0 | github-code | 6 |
35379120975 | import math
import boto3
from aws_cdk import (
core,
aws_ec2 as ec2,
aws_ecs as ecs,
aws_cloudwatch as cw
)
from cdklocust.locust_container import locustContainer
class CdklocustStack(core.Stack):
def __init__(self, scope: core.Construct, id: str, vpc, **kwargs) -> None:
super().__ini... | tynooo/cdklocust | cdklocust/cdklocust_stack.py | cdklocust_stack.py | py | 3,687 | python | en | code | 3 | github-code | 6 |
26345256198 | n = map(float, input().split(' '))
counts = {}
for x in n:
if x in counts:
counts[x] += 1
else:
counts[x] = 1
for x in sorted(counts):
print("{} -> {} times".format(x, counts[x]))
| YovchoGandjurov/Python-Fundamentals | 02. Lists and Dictionaries/Dictionaries/02.Count_Real_Numbers.py | 02.Count_Real_Numbers.py | py | 211 | python | en | code | 1 | github-code | 6 |
9487674486 | # -*- coding: utf-8 -*-
import nengo
import numpy as np
from nengo_ssp.vector_generation import HexagonalBasis, GridCellEncoders
#from nengo_ssp.utils import ssp_vectorized
class PathIntegrator(nengo.Network):
def __init__(self, n_neurons, n_gridcells, scale_fac=1.0, basis=None,xy_rad=10, **kwargs):
kw... | nsdumont/nengo_ssp | nengo_ssp/networks.py | networks.py | py | 5,032 | python | en | code | 0 | github-code | 6 |
10422637903 | from __future__ import annotations
import dataclasses
from typing import TYPE_CHECKING
from randovania.bitpacking import bitpacking
from randovania.bitpacking.bitpacking import BitPackDecoder, BitPackValue
from randovania.game_description import default_database
if TYPE_CHECKING:
from collections.abc import Iter... | randovania/randovania | randovania/layout/base/ammo_pickup_state.py | ammo_pickup_state.py | py | 3,973 | python | en | code | 165 | github-code | 6 |
10294402912 | #-*-python-*-
from warn import *
from Rnaseq import *
from Rnaseq.command import *
from sqlalchemy import *
from sqlalchemy.orm import mapper, sessionmaker
# usage: provenance load <readset pipeline>
# This is sort of a test command, probably won't be used in production
class Load(Command):
def description(self)... | phonybone/Rnaseq | lib/Rnaseq/cmds/rnaseq/load.py | load.py | py | 1,138 | python | en | code | 3 | github-code | 6 |
8352755533 | from __future__ import absolute_import, unicode_literals
import base64
import json
import random
import warnings
import websocket
from c8 import constants
from c8.api import APIWrapper
from c8.apikeys import APIKeys
from c8.c8ql import C8QL
from c8.collection import StandardCollection
from c8.exceptions import (
... | Macrometacorp/pyC8 | c8/fabric.py | fabric.py | py | 56,104 | python | en | code | 6 | github-code | 6 |
33215300998 | #
# @lc app=leetcode.cn id=15 lang=python3
#
# [15] 三数之和
#
# @lc code=start
class Solution:
def threeSum(self, nums: List[int]) -> List[List[int]]:
result = []
n = len(nums)
nums.sort()
for i, first in enumerate(nums):
if i > 0 and first == nums[i - 1]:
... | P4Peemo/Leetcode | 15.三数之和.py | 15.三数之和.py | py | 807 | python | en | code | 0 | github-code | 6 |
8600407692 | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from .routers import post, user, auth, vote
############################################
#models.Base.metadata.create_all(bind=engine)
app = FastAPI()
origins = ["*"]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
... | Mattia921/example-fastapi | app/main.py | main.py | py | 1,524 | python | en | code | 0 | github-code | 6 |
18849850963 | import os
import random
import math
import seaborn
import matplotlib.pyplot as plt
num_train_samples = 1
threshold = 0.25
dtw_window = 50
# thresholds: 0.15, 0.2, ...
def read_gesture(path):
with open(path, "r") as file:
lines = [line.rstrip() for line in file]
gesture = [[float(value) for value... | xrgman/ColorMatchingBracelet | arduino/GestureRecorder/evaluate.py | evaluate.py | py | 5,392 | python | en | code | 2 | github-code | 6 |
2055718392 | # USAGE
# python knn.py --dataset ../../SolutionDL4CV/SB_code/datasets/animals
from sklearn.neighbors import KNeighborsClassifier
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report
from pyimagesearch.preprocessing import ... | lykhahaha/Mine | StarterBundle/chapter07-first_image_classifier/knn.py | knn.py | py | 1,583 | python | en | code | 0 | github-code | 6 |
4709876834 | import numpy as np
import matplotlib.pyplot as plt
import activation_functions as acfunc
inp_a = np.arange(-1.0, 1.0, 0.2)
inp_b = np.arange(-1.0, 1.0, 0.2)
outputs = np.zeros((10, 10))
weight_a = 2.5
weight_b = 3
bias = 0.1
for i in range(10):
for j in range(10):
u_single = inp_a[i] * weight_a + inp_b... | tsubamon55/pyailesson | single_neuron.py | single_neuron.py | py | 471 | python | en | code | 0 | github-code | 6 |
14478011852 | '''
Loss functions.
'''
import copy
import torch
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
import utils
class NLLLoss(nn.Module):
"""Self-Defined NLLLoss Function
Args:
weight: Tensor (num_class, )
"""
def __init__(self, weight):
super(NLLLoss, se... | TalkToTheGAN/REGAN | loss.py | loss.py | py | 5,235 | python | en | code | 42 | github-code | 6 |
8310998664 | def makeForms(verb):
character = ('o', 'ch', 's', 'sh', 'x', 'z')
if verb.endswith("y"):
new = verb[:-1] + "ies"
elif verb.endswith(character):
new = verb + "es"
else:
new = verb + "s"
return new
def main():
verb = input("Enter your word: ")
print("The ... | angelinekaren/Programming-Exercises | Exercise 4/answer12/main.py | main.py | py | 378 | python | en | code | 0 | github-code | 6 |
71994815868 | """Control implementation for assignment 1.
The controller used the simulation in file `aer1216_fall2020_hw1_sim.py`.
Example
-------
To run the simulation, type in a terminal:
$ python aer1216_fall2020_hw1_sim.py
Notes
-----
Tune the PD coefficients in `HW1Control.__init__()`.
"""
import numpy as np
from gym_... | kaustubhsridhar/Constrained_Models | Drones/gym-pybullet-drones/assignments/aer1216_fall2020_hw1_ctrl.py | aer1216_fall2020_hw1_ctrl.py | py | 5,709 | python | de | code | 15 | github-code | 6 |
71570292029 | from django import forms
from django.core.exceptions import ValidationError
from semester.models import Semester, CourseOffered, CourseDistribution, DistributedSectionDetail
from tempus_dominus.widgets import TimePicker, DatePicker
from django.contrib import messages
from django.shortcuts import redirect
class Semest... | Emad-ahmed/luRoutine | semester/forms.py | forms.py | py | 4,085 | python | en | code | 0 | github-code | 6 |
40182196672 | from anomaly_detection import Amean
from multiprocessing import Process, Queue
from database import DataBase
from datetime import datetime, timedelta
import time
import traceback
class AnomalyDomain (Process):
# initilize data
def __init__(self, name, host) :
super(AnomalyDomain, self).__init__(... | DUCQUAN7850/warning_service_master | warning_service-master/anomaly_domain.py | anomaly_domain.py | py | 4,642 | python | en | code | 0 | github-code | 6 |
42174278814 | # import transformers
# import datasets
# from pprint import pprint
# # with pipeline
# model = transformers.AutoModelForSequenceClassification.from_pretrained("") # load model from local directory
# tokenizer = transformers.AutoTokenizer.from_pretrained("TurkuNLP/bert-base-finnish-cased-v1")
# test_pipe = transfo... | TurkuNLP/register-qa | predict.py | predict.py | py | 4,037 | python | en | code | 0 | github-code | 6 |
36920706174 | #-------------------------------------------------------------------------
# Script en python que se encarga de conectarse a un recurso Event Hub de
# Microsoft Azure y leer todos los mensajes disponibles, al mismo tiempo
# que deja un checkpoint de lo que ha leído para no repetir mensajes
# la siguiente vez que ... | NoeCampos22/Ejercicio_Azure_Databricks | Mini-Ejercicios/1_Enviar_Recibir_Eventos_EventHub/EPH.py | EPH.py | py | 5,351 | python | es | code | 0 | github-code | 6 |
2500816506 | from bokeh.layouts import column
from bokeh.models.widgets import RadioButtonGroup,Select, Div, Button,PreText
from bokeh.models import TextInput, RadioGroup
from bokeh.plotting import curdoc
button_group = RadioButtonGroup(labels=["Physical parameters", "Geometric parameters", "Initial conditions"], active=1)
## A... | sduarte09/Module5 | Exercise/Group5/BWC.py | BWC.py | py | 2,455 | python | en | code | 0 | github-code | 6 |
39688374544 | # Time: O(n)
# Space: O(1)
class Solution:
def rob(self, nums: List[int]) -> int:
"""
"""
if not nums:
return 0
if len(nums)==1:
return nums[0]
return max(self.util(nums[:-1]), self.util(nums[1:]))
def util(self, nums):
# Linear Space
... | cmattey/leetcode_problems | Python/lc_213_house_robber_ii.py | lc_213_house_robber_ii.py | py | 704 | python | en | code | 4 | github-code | 6 |
38453788242 | import sys
input = sys.stdin.readline
T = int(input())
for tc in range(1,T+1):
L = list(map(int,input().split()))
L.sort()
a,b,c = L
ans = "NO"
if a**2 + b**2 == c**2:
ans = "YES"
print(f"Case #{tc}: {ans}") | LightPotato99/baekjoon | math/geometry/triangle/pythagoras/rightTri.py | rightTri.py | py | 240 | python | en | code | 0 | github-code | 6 |
17137130653 | import requests
import re
from bs4 import BeautifulSoup
from openpyxl import load_workbook
DIRECTORY_URL = "https://directory.tufts.edu/searchresults.cgi"
WORKBOOK_NAME = "DirectoryResults_2017-2018.xlsx"
NAME_SHEET = "DirectoryResults"
# This script works on Excel Sheets with a single column in the A column of
# a ... | jGowgiel/fec-donation-aggregator | scripts/DirectoryScrape.py | DirectoryScrape.py | py | 1,261 | python | en | code | 0 | github-code | 6 |
24502646621 | from utils import *
from fastapi import FastAPI, Query, Path, Body, Cookie, Header
from pydantic import BaseModel, Required, Field, HttpUrl
app = FastAPI()
@app.get('/')
def read_root():
return {'Hello': 'World'}
# Examplos com path params
class ModelName(str, Enum):
name1 = 'Phelipe'
name2 = 'Marcos... | williamelias/Fast-Api-Quiz | code/app/main.py | main.py | py | 5,446 | python | pt | code | 0 | github-code | 6 |
27456097150 | from pathlib import Path
from sphinx.directives import SphinxDirective
from docutils.parsers.rst import directives
from docutils import nodes
from sphinx.util.logging import getLogger
import yaml
import json
logger = getLogger(__name__)
class PyConfig(SphinxDirective):
has_content = True
def run(self):
... | yoblee/docs | sphext/sphinx_pyscript/pys_directives/__init__.py | __init__.py | py | 2,360 | python | en | code | 0 | github-code | 6 |
41774127803 | import hearts.model.game as m
from hearts.game_master import GameMaster
import logging
class GameBackend(object):
def __init__(self, player_svc):
self._next_game_id = 1
self._game_masters = {}
self._players = {}
self._player_mapping = {}
self._player_svc = player_svc
... | MHeasell/hearts-server | hearts/game_backend.py | game_backend.py | py | 1,880 | python | en | code | 0 | github-code | 6 |
31329871933 | #%%
import pandas as pd
import numpy as np
import datetime as dt
import xarray as xr
import cftime
import dask
from glob import glob
#%%
'''SUBSET RH DATA'''
data = pd.read_csv("preprocessing/inputdata/AMF_US-MBP_BASE_HH_2-5.csv",
skiprows = 2,
na_values = -9999)
data['TIMESTAMP_START'] = ... | mwdjones/clm_frost | preprocessing/forcings/Add_RH_to_Forcings.py | Add_RH_to_Forcings.py | py | 3,217 | python | en | code | 0 | github-code | 6 |
8898957294 | import telebot
import config
from ibm_watson import LanguageTranslatorV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
import json
from telebot import types
import pyowm
owm = pyowm.OWM('c8548689b28b1916f78403fb9c92e4f3', language='ru')
bot = telebot.TeleBot(config.TOKEN)
authenticator =... | IgorSopronyuk/translate_IBM_bot | translater_IBM_bot.py | translater_IBM_bot.py | py | 17,771 | python | ru | code | 0 | github-code | 6 |
21682006700 | from tkinter import *
from sudoku_api import get_grid,solve
from sudoku_solver import solver,if_poss
import tkinter.messagebox
root=Tk()
entries=user_inps=[[0 for i in range(9)] for j in range(9)]
canvas=Canvas(root,height=500,width=450)
canvas.pack()
board=[[0 for i in range(9)] for j in range(9)]
def get(event):
re... | m-mukund/Sudoko_Solver | sudoku_inter.py | sudoku_inter.py | py | 3,397 | python | en | code | 0 | github-code | 6 |
69869460347 | def Mark(
x=None, text='', color='',
bold=True, underline=False):
""" This function prints an object x and adds a description text.
It is useful for for debugging. """
start = ''
end = ''
if color != '' or bold or underline:
end='\033[0m'
colorDict = {
'': '',
None: '',
'p... | google/expt-analysis | python/data_analysis.py | data_analysis.py | py | 82,173 | python | en | code | 6 | github-code | 6 |
1805360050 | #! /usr/bin/env python3
count = {}
def char_count(str):
for char in str:
c = count.get(char)
if c is None:
count[char] = 1
else:
count[char] += 1
print(count)
if __name__ == '__main__':
s = input('Enter a string')
char_count(s)
| wffh/project | count_str_fast.py | count_str_fast.py | py | 297 | python | en | code | 0 | github-code | 6 |
23435779102 | from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QMessageBox
import sys
import json
import mainwindow, mystock, recepe, compute
class MyMainWindow(mainwindow.Ui_MainWindow):
def setupUi(self, mw, database):
super().setupUi(mw)
self.tabWidget = QtWidgets.QTabWidget()
mw... | bernard169/open-breware | mymainwindow.py | mymainwindow.py | py | 1,084 | python | en | code | 0 | github-code | 6 |
14872333572 | import torch
from torch import nn
import torch.nn.functional as F
from torch import optim
from torchvision import datasets, transforms, models
from workspace_utils import active_session
from collections import OrderedDict
import numpy as np
from PIL import Image
import argparse
import json
parser = argparse.Argument... | OmarMohy/Image-Classifier-with-Deep-Learning | predict.py | predict.py | py | 3,922 | python | en | code | 0 | github-code | 6 |
33293378254 | '''Simple Script to Label Item Description'''
#import libraries packages
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import string
import re
import json
#read from csv
data = pd.read_csv('./item.csv')
item = data['Item Description']
#data cleaning (lowercase, remove whitespace, re... | aqillakhamis/Text-Matching-Label | textMatching.py | textMatching.py | py | 1,824 | python | en | code | 1 | github-code | 6 |
4729018877 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 13 00:32:57 2018
@author: pablosanchez
"""
import tensorflow as tf
import utils.constants as const
from networks.dense_net import DenseNet
class DeconvNet(object):
def __init__(self, width, height, nchannels, reuse, transfer_fct=tf.nn.relu,
... | psanch21/VAE-GMVAE | networks/deconv_net.py | deconv_net.py | py | 3,987 | python | en | code | 197 | github-code | 6 |
5223556496 | import os
import time
import requests
import functools
from concurrent.futures import ThreadPoolExecutor
import click
import yaml
def _get_connection_urls(workload_yaml):
with open(workload_yaml) as f:
workload = yaml.safe_load(f)
uris = workload.get("EnvironmentDetails", {}).get("MongosyncConnectionU... | mongodb/genny | src/cast_python/src/mongosync_actor.py | mongosync_actor.py | py | 4,300 | python | en | code | 42 | github-code | 6 |
30367868751 | from numpy import linspace, sin
from chaco.api import ArrayPlotData, Plot
from chaco.tools.api import PanTool, ZoomTool
from enable.api import ComponentEditor
from traits.api import Enum, HasTraits, Instance
from traitsui.api import Item, Group, View
class PlotEditor(HasTraits):
plot = Instance(Plot)
plot_t... | enthought/chaco | examples/tutorials/scipy2008/ploteditor.py | ploteditor.py | py | 2,299 | python | en | code | 286 | github-code | 6 |
36584033730 | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 19 14:36:47 2020
@author: allison
"""
def readATS(filename):
infile = open(filename)
ats = []
for line in infile:
ats.append(line.replace("\n",""))
infile.close()
return ats
def readCouplingMatrix(filename):
infile = open(filename)
Cs... | allie-walker/SCA4RNA_results | coupling_matrix_tools.py | coupling_matrix_tools.py | py | 1,583 | python | en | code | 0 | github-code | 6 |
20918248522 | import pandas as pd
import numpy as np
from scipy.sparse import csr_matrix
from sklearn.neighbors import NearestNeighbors
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity, linear_kernel
def GetMoviesByDescription(movieName):
movie_... | InsiyaKanjee/Project4 | initdb.py | initdb.py | py | 7,073 | python | en | code | 0 | github-code | 6 |
18677212205 | import argparse
import logging
import random
import sys
import time
from copy import deepcopy
import numpy as np
import torch
from scipy.stats import kendalltau
from datasets.dataloader import get_dataloader
from models.cell_operations import NAS_BENCH_201
from models.supernet import Supernet201
from utils import obt... | ShunLu91/PA-DA | nasbench201/train_baselines_201.py | train_baselines_201.py | py | 14,254 | python | en | code | 29 | github-code | 6 |
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