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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
5721387647 | import sys
import math
for inputValue in sys.stdin:
startNumber, endNumber = inputValue.split()
result = []
for i in range(int(startNumber), int(endNumber)+1):
sqrtValue = int(math.sqrt(i))
isPrime = True
for j in range(2, sqrtValue+1):
if i % j == 0:
... | lalalalaluk/python-zerojudge-practice | a121質數又來囉 copy.py | a121質數又來囉 copy.py | py | 437 | python | en | code | 0 | github-code | 90 |
72604541737 | from django.core.management import call_command
from django.db import models
from django.template.defaultfilters import slugify
from django.urls import reverse
class HouseTeam(models.Model):
name = models.CharField(max_length=50)
logo = models.ForeignKey('pages.BannerWidget', null=True, blank=True)
image_... | zachcalvert/the_ape_theater | the_ape/people/models.py | models.py | py | 5,004 | python | en | code | 3 | github-code | 90 |
28839860970 |
import json
import sys
import os
from random import randrange
import argparse
import traceback
from datetime import datetime
parentPath = os.path.abspath("../../Metaheuristics")
print(parentPath)
if parentPath not in sys.path:
sys.path.insert(0, parentPath)
from Common.NurseSchedulingProblem import *
try:
base... | presmerats/Nurse-Scheduling-LP-and-Heuristics | Tools/Reporting/check_results.py | check_results.py | py | 3,443 | python | en | code | 1 | github-code | 90 |
16173170134 | # SPDX-License-Identifier: Apache-2.0
# Licensed to the Ed-Fi Alliance under one or more agreements.
# The Ed-Fi Alliance licenses this file to you under the Apache License, Version 2.0.
# See the LICENSE and NOTICES files in the project root for more information.
from edfi_performance_test.factories.resources.api_fac... | Ed-Fi-Exchange-OSS/Suite-3-Performance-Testing | src/edfi-performance-test/edfi_performance_test/factories/resources/v4/dimensions.py | dimensions.py | py | 646 | python | en | code | 1 | github-code | 90 |
1000792810 | from machine import Pin
from time import sleep
led = Pin(2, Pin.OUT)
led.value(0)
while True:
led.value(not led.value())
sleep(1)
# pyboard —device /dev/cu.SLAB_USBtoUART hello.py
| perbu/micropython-talk-2020 | simple-blink.py | simple-blink.py | py | 195 | python | en | code | 0 | github-code | 90 |
10017212820 | import json
def getSongsJson(songs):
songs_json = []
for song in songs:
minutes = str(song.duration // 60)
seconds = song.duration % 60
if seconds < 10:
seconds *= 10
seconds = str(seconds)
ent = {
'name': song.title,
'artis... | kappa243/flask_music_player | src/player.py | player.py | py | 772 | python | en | code | 0 | github-code | 90 |
14650995902 | import logging
import torch
import torch.nn as nn
import copy
from .backbones.vit_pytorch_transreid import vit_base_patch16_224_TransReID, vit_small_patch16_224_TransReID, deit_small_patch16_224_TransReID, trunc_normal_
from loss.triplet_loss import WeightedRegularizedTriplet, TripletLoss, CrossEntropyLabelSmooth
impor... | oliverck/TCiP | model/net/transreid.py | transreid.py | py | 19,093 | python | en | code | 7 | github-code | 90 |
37396533160 | # -*- coding: utf-8 -*-
"""
File name : MyCircularQueue
Date : 13/08/2018
Description : 设计循环队列,其操作表现基于 FIFO（先进先出）原则并且队尾被连接在队首之后以形成一个循环。亦称为“环形缓冲器”。
Author : VickeeX
"""
class MyCircularQueue:
def __init__(self, k):
"""
Initialize your data structure he... | VickeeX/LeetCodePy | desighClass/MyCircularQueue.py | MyCircularQueue.py | py | 2,337 | python | en | code | 0 | github-code | 90 |
30781459853 | import controller
import model
import random_student.person_generator as rp
from time import sleep
import pretty_table
# Пункт меню: 1
def view_students(filename):
print('\nВывод всего списка студентов:\n')
data = model.read_csv(filename)
pretty_table.table_print(data)
# if len(data) == 0:
# p... | pashtetrus33/pythonStart | dz_8/view.py | view.py | py | 4,406 | python | ru | code | 0 | github-code | 90 |
33600932247 | # -*- coding: utf-8 -*-
# © 2015 Guewen Baconnier (Camptocamp SA)
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html).
import mock
from openerp.tests import common
from openerp.addons.delivery_carrier_label_postlogistics\
.postlogistics.web_service import PostlogisticsWebService
class FakeWS(Postl... | sc4you/UduuX | odoo/custom/delivery_carrier_label_postlogistics/tests/test_postlogistics.py | test_postlogistics.py | py | 3,544 | python | en | code | 0 | github-code | 90 |
38661268781 | from django.shortcuts import render, redirect
from django.contrib.messages.views import SuccessMessageMixin
from django.views.generic import FormView
from django.contrib.auth import authenticate,login
from django.contrib import messages
from django.http import HttpResponse
from django.db.transaction import atomic
from ... | Alica032/registration | registration/accounts/views.py | views.py | py | 5,612 | python | en | code | 0 | github-code | 90 |
71177259497 | import gi
gi.require_version('Gtk', '4.0')
from gi.repository import Gtk, Gdk, Pango
import setzer.document.autocomplete.autocomplete_widget_viewgtk as autocomplete_view
from setzer.app.service_locator import ServiceLocator
from setzer.app.font_manager import FontManager
class AutocompleteWidget(object):
def __... | cvfosammmm/Setzer | setzer/document/autocomplete/autocomplete_widget.py | autocomplete_widget.py | py | 4,255 | python | en | code | 362 | github-code | 90 |
18487301899 | #from statistics import median
#import collections
#aa = collections.Counter(a) # list to list || .most_common(2)で最大の2個とりだせるお a[0][0]
from fractions import gcd
from itertools import combinations,permutations,accumulate # (string,3) 3回
#from collections import deque
from collections import deque,defaultdict,Counter
impo... | Aasthaengg/IBMdataset | Python_codes/p03240/s226437936.py | s226437936.py | py | 1,372 | python | en | code | 0 | github-code | 90 |
4889728343 | import psycopg2.extensions
import psycopg2
conn = psycopg2.connect("host=localhost dbname=rbdm user=m")
cur = conn.cursor()
cur.execute("""
CREATE TABLE users(
id integer PRIMARY KEY,
email text,
name text,
address text
)
""")
# DATABASES = {
# # ...
# 'OPTIONS': {
# 'isolation_leve... | MarshallSeid/rbdm | db.py | db.py | py | 433 | python | en | code | 0 | github-code | 90 |
6409683412 | from docx import Document
from googletrans import Translator
from google_trans_new import google_translator
from time import sleep
translator2 = Translator()
translator3 = Translator()
translator = google_translator()
paras=[]
check = False
checksen="Anchor script (Voice Over)"
endsen="Visual Reference"
'''Enter fi... | ArpitBodana/Translator-Script | TranslationScript.py | TranslationScript.py | py | 2,704 | python | en | code | 0 | github-code | 90 |
73552202216 | # -*- coding: utf-8 -*-
from openerp.osv import fields, osv
from quant_trader import *
class StockBalance(osv.osv):
"""
资金状况
"""
_name = "stock.balance"
_rec_name = 'money_type'
_columns = {
'asset_balance': fields.float(u"资产总值", size=32, required=True),
'current_balance': fi... | haogefeifei/OdooQuant | source/addons/stock_robot/stock_balance.py | stock_balance.py | py | 2,915 | python | en | code | 31 | github-code | 90 |
21964269472 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="CompDesc", # Replace with your own username
version="1.0.4",
author="Alexandre Borrel",
author_email="a.borrel@gmail.com",
description="Compute molecular descriptors 1D, 2D and 3D from a S... | ABorrel/CompDESC | setup.py | setup.py | py | 780 | python | en | code | 3 | github-code | 90 |
27222320858 | import services
from objects.object_enums import ResetReason
from scripts_core.sc_message_box import message_box
from scripts_core.sc_util import error_trap
from scripts_core.sc_script_vars import sc_Vars
try:
from Tmex_TOOL_InputInteraction import TMToolData
sc_Vars.TMEX = True
except:
sc_Vars... | AlinaNikitina1703/Sims4ScriptCore | Scripts/scripts_core/sc_editor.py | sc_editor.py | py | 2,477 | python | en | code | 2 | github-code | 90 |
11002594633 | # 输出到csv表格文件
from .output import Output
import csv
class OutputCsv(Output):
def __init__(self, argd):
self.dir = argd["outputDir"] # 输出路径（文件夹）
self.fileName = argd["outputFileName"] # 文件名
self.fileName = self.fileName.replace(
"%name", argd["outputDirName"]
) # 文件名... | hiroi-sora/Umi-OCR_v2 | UmiOCR-data/py_src/ocr/output/output_csv.py | output_csv.py | py | 1,821 | python | en | code | 917 | github-code | 90 |
30916530134 | import gym
from gym import spaces
import numpy as np
import math
class ChaserInvaderDiscreteEnv(gym.Env):
"""
invader tries to reach the centre goal, while chaser wants to block it as far as possible
Actions [0 : Left, 1 : Up, 2 : Right, 3 : Down, 4 : Stand]
"""
metadata = {'render.mode... | YuanhengZhu/Online-Minimax-Q-Network-Learning-for-Two-Player-Zero-Sum-Markov-Games | myenv/env_chaser_invader_discrete.py | env_chaser_invader_discrete.py | py | 6,537 | python | en | code | 0 | github-code | 90 |
18152224739 | n = int(input())
total = 0
for i in range(n):
a,b = map(int, input().split())
if a == b:
total += 1
if total == 3:
break
else:
total = 0
if total == 3:
print('Yes')
else:
print('No') | Aasthaengg/IBMdataset | Python_codes/p02547/s031790242.py | s031790242.py | py | 211 | python | en | code | 0 | github-code | 90 |
42534892989 | from collections import Counter
def solution(participant, completion):
counter = Counter(participant)
counter2 = Counter(completion)
key = participant
answer = ''
for i in range(len(counter)):
if counter[key[i]] != counter2[key[i]]:
answer = key[i]
break
return a... | macho-yoo/programmers | CODING_TEST/hash/완주하지 못한 선수/solution.py | solution.py | py | 326 | python | en | code | 0 | github-code | 90 |
10309096565 | import requests
import json
import os
import re
import sys
from quizlet_secret import QUIZLET_CLIENT_ID
###########################################################################
# Constants
###########################################################################
SET_DIR = os.path.join(os.path.dirname(os.path.real... | joequery/quizlet | quizlet.py | quizlet.py | py | 3,138 | python | en | code | 34 | github-code | 90 |
37876329630 | class Solution(object):
def getRow(self, rowIndex):
"""
:type rowIndex: int
:rtype: List[int]
"""
dp=[1]*(rowIndex+1)
fact=[1]*(rowIndex+1)
for i in range(1,rowIndex+1):
fact[i]=i*fact[i-1]
print(fact)
for i in range(0, rowIndex+1):... | haneehareshpatel/Leetcode-problems | my-folder/problems/pascal's_triangle_ii/solution.py | solution.py | py | 402 | python | en | code | 0 | github-code | 90 |
26770777607 | import warnings
import pandas as pd
from auxiliary_functions import BinBadRate, MergeBad0, BadRateMonotone, ChiMerge, AssignBin, Monotone_Merge, \
BadRateEncoding
import matplotlib.pyplot as plt
import numpy as np
import pickle
import numbers
warnings.filterwarnings('ignore')
total_df = pd.read_csv('D:\study\CDA_... | PeiQI1225/credit_rating | credit_rating.py | credit_rating.py | py | 18,215 | python | en | code | 0 | github-code | 90 |
833208344 | import requests
import plotly.graph_objs as go
import pandas as pd
from flask import Flask, render_template, jsonify
import dash
from dash import dcc, html
import time
app = Flask(__name__)
dash_app = dash.Dash(__name__, server=app, url_base_pathname='/trend/')
dash_app.layout = html.Div([])
api_url_base ... | RhysM95/SIT723-RESEARCH-PROJECT | community-household-data-analysis/backups/Project.py | Project.py | py | 3,847 | python | en | code | 0 | github-code | 90 |
28769541680 | # Modified by Microsoft Corporation.
# Licensed under the MIT license.
# -*- coding: utf-8 -*-
import logging
import os
import time
from user import UserNeural
def init_logging_handler(log_dir, extra=''):
if not os.path.exists(log_dir):
os.makedirs(log_dir)
current_time = time.strftime("%Y-%m-%d-%H... | ConvLab/ConvLab | convlab/modules/usr/multiwoz/vhus_usr/main.py | main.py | py | 858 | python | en | code | 398 | github-code | 90 |
2929447331 | import torch
import cv2
import argparse
from torchvision.io import read_image
from torch.nn import CosineSimilarity
import torchvision.transforms as T
from train_siamese import SiameseNetwork
if __name__ == '__main__':
parser = argparse.ArgumentParser("Inference code for siamese tracker network")
parser.a... | FauxShow/tracker_net | inference.py | inference.py | py | 1,499 | python | en | code | 0 | github-code | 90 |
35940247704 | import collections
import heapq
'''import sys
if len(sys.argv) != 2:
print("Usage:-\npython dfs.py <OUT-FILE>\n")
sys.exit(1)
OUT_FILE = sys.argv[1]'''
INP_FILE = "graph.dat"
class Vertex:
count = 0
def __init__(self):
self.name = chr(ord('A') + Vertex.count)
Vertex.count += 1
... | PramodJose/Graph-Algorithms | dfs.py | dfs.py | py | 4,738 | python | en | code | 0 | github-code | 90 |
71880596458 | import os
import lgsvl
import math
import time
import sys
import numpy as np
from collections import namedtuple
from configparser import ConfigParser
config = ConfigParser()
config.read('config.ini')
speed = config.getint('main', 'speed')
rain_level = config.getint('main', 'rain_level')
fog_level = config.getint('mai... | kuoyaoming/LGSVL-collision-video-generator | script/SCP.py | SCP.py | py | 4,197 | python | en | code | 2 | github-code | 90 |
25053952202 | import cv2
import keras
from keras.utils import to_categorical
import tensorflow as tf
from scipy import misc
from keras.layers import *
from keras.models import Sequential
NUMBER_OF_CLASSES = 4
MODEL_IMG_SIZE = (64, 64)
TRAIN_DIR = 'training/real/processed/'
LABEL_TEXT_FILE = TRAIN_DIR + '/labels.txt'
MODEL_FILE_NAM... | rocky3355/UdacityFinalProject | ros/src/tl_detector/light_classification/model_training.py | model_training.py | py | 2,135 | python | en | code | 0 | github-code | 90 |
42425458484 | """
https://codingbat.com/prob/p145834
"""
def last2(str):
sub=str[-2:]
count=0
for i in range(0, len(str) - 2, len(sub)):
if str[i:i + 2] == sub:
count += 1
return count
print(last2("hixxhi")) | vijay2930/HackerrankAndLeetcode | com/CodingBat/warmup-2/Last2.py | Last2.py | py | 230 | python | en | code | 0 | github-code | 90 |
23303475126 | from random import randint
print('''Hey guys here lets play rock paper Scissors.
You(Player) Vs Me(Computer/Navneet)
Let the battle Begin ^_^!!
''')
x = input('What is your name :- ')
def rock_paper_scissors():
t = ["Rock", "Paper", "Scissors"]
computer = t[randint(0,2)]
player = input("Rock, Paper... | iNavneetKumar/My-game | Rockpaperscissors.py | Rockpaperscissors.py | py | 1,182 | python | en | code | 0 | github-code | 90 |
72142223338 | from typing import List, Tuple
from dao_analyzer.web.logs import LOGS
from dao_analyzer.web.apps.common.business.transfers.serie import Serie
class StackedSerie():
"""
* serie = see Serie
* y_stack = each element of y_stack is a list of values on the serie.
"""
def __init__(self, serie: Serie = N... | Grasia/dao-analyzer | dao_analyzer/web/apps/common/business/transfers/stacked_serie.py | stacked_serie.py | py | 3,533 | python | en | code | 33 | github-code | 90 |
23488017197 | #财联社看盘实时监控
import requests,hashlib,time
#请求库requests需要使用pip安装,命令行:pip3 install requests
class monitoring():
def __init__(self):
self.headers = {
'Referer': 'https://www.cls.cn/telegraph',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/5... | hl1227/cls_spider | cls_watch_monitoring.py | cls_watch_monitoring.py | py | 2,821 | python | en | code | 2 | github-code | 90 |
44345523996 | from instagramy import Instagram
# Connecting the profile
user = Instagram("geeks_for_geeks")
# printing the basic details like
# followers, following, bio
print(user.is_verified())
print(user.popularity())
print(user.get_biography())
# return list of dicts
posts = user.get_posts_details()
print('\n\nLik... | pythonprogramming-development/scraping | Scraping.py | Scraping.py | py | 1,245 | python | en | code | 0 | github-code | 90 |
353342088 | from selenium.webdriver.common.by import By
from selenium import webdriver
def pracuj():
driver = webdriver.Chrome()
driver.get('https://www.pracuj.pl/praca/software%20tester;kw?et=1')
try:
driver.find_element(by=By.XPATH, value='//*[@id="gp-cookie-agreements"]/div/div/div[1]/div[3]/button').c... | BtNowakowski/Job-Seeker | pracujpl.py | pracujpl.py | py | 634 | python | en | code | 0 | github-code | 90 |
9070088032 | import json
import re
import time
from os import path, makedirs
config = {}
def load_config():
"Load config json-file to config variable."
global config
try:
with open("config.json") as f:
config = json.loads(f.read())
if not "node" in config:
config["node"] = ""
... | spline1986/idec-client | api/__init__.py | __init__.py | py | 5,753 | python | en | code | 0 | github-code | 90 |
15748725722 |
from pyplasma import *
domain = Domain(grid=[1300], size=[20*um], pml_width=400*nm)
laser = Laser(wavelength=800*nm, pulse_duration=10*fs, t0=20*fs, E0=5e9, phase=True)
domain.add_laser(laser)
material = Material(index=1.33, chi3=1e-19, resonance=120e-9)
domain.add_material(material, boundaries={'xmin':10*um})
w =... | jldez/pyplasma | examples/capsules/1.4_third_order_susceptibility.py | 1.4_third_order_susceptibility.py | py | 483 | python | en | code | 13 | github-code | 90 |
41926242910 | import tensorflow as tf
RESIZE_FACTOR = 1 # 4
DIM_X = int(1920 / RESIZE_FACTOR)
DIM_Y = int(1080 / RESIZE_FACTOR)
def _decode(img_str):
img = tf.image.decode_jpeg(img_str)
img = tf.image.convert_image_dtype(img, tf.float32)
img = tf.image.resize(img, [DIM_X, DIM_Y])
img = tf.reshape(img, [DIM_X, DI... | bigtimetapin/floras | ml/src/main/python/preprocess.py | preprocess.py | py | 419 | python | en | code | 0 | github-code | 90 |
35311971308 | #!/usr/bin/env python
import logging
import numpy as np
import librosa
import scipy
from random import randint
from src.utils.math_utils import nextpow2
logger = logging.getLogger(__name__)
class Spectrum(object):
def __init__(self, hparams):
self.sample_freq = hparams.sample_freq
self.duration ... | vikigenius/neural_speaker_identification | src/features/spectrum.py | spectrum.py | py | 3,653 | python | en | code | 1 | github-code | 90 |
37930594844 | from typing import List
from unittest import TestCase
class Solution:
"""
2, 1, 5, 0, 3, 4
[1, 5], count=2
[0, 3, 4], count=3
New increasing subsequence can start. How do I give space to it in O(1) memory?
The number at position i can extend the sequence whose last number < nums[i].
I need... | saubhik/leetcode | problems/increasing_triplet_subsequence.py | increasing_triplet_subsequence.py | py | 2,749 | python | en | code | 3 | github-code | 90 |
5366934501 | import torch
import torch.nn as nn
class SEModule(nn.Module):
def __init__(self, planes, reduction):
super(SEModule, self).__init__()
self.avg_pool = nn.AdaptiveAvgPool2d((1, 1))
self.fc1 = nn.Conv2d(planes, planes // reduction, kernel_size=1, padding=0)
self.fc2 = nn.Conv2d(planes ... | limingcv/Classification-template-with-PyTorch | models/se_resnet.py | se_resnet.py | py | 6,272 | python | en | code | 1 | github-code | 90 |
18014819539 | import sys
readline = sys.stdin.readline
MOD = 10 ** 9 + 7
INF = float('INF')
sys.setrecursionlimit(10 ** 5)
def main():
n = int(readline())
for i in range(1, n + 1):
min_lim = (i - 1) * i // 2 + 1
max_lim = i * (i + 1) // 2
if min_lim <= n <= max_lim:
print(i)
... | Aasthaengg/IBMdataset | Python_codes/p03779/s890057907.py | s890057907.py | py | 373 | python | en | code | 0 | github-code | 90 |
29737680745 | import pytest
from bach.types_bq import bq_db_dtype_to_dtype
pytestmark = [pytest.mark.db_independent]
# mark all tests here as database independent. Obviously this code relates to BigQuery. But it does not
# require an Engine or Dialect. The tested code only converts strings to strings, dicts, lists, or tuples.
de... | massimo1220/objectiv-analytics-main | bach/tests/unit/bach/test_types_bq.py | test_types_bq.py | py | 2,988 | python | en | code | 5 | github-code | 90 |
18384584249 | W, H, x, y = map(int, input().split())
# 大きくない方とかって書いてあるけど、別にイコールの場合でもいいんかい！
# 中心の座標を求める
centerX = (W / 2)
centerY = (H / 2)
if ((x, y) == (centerX, centerY)):
print((W * H) / 2, 1)
else:
print(W * H / 2, 0)
| Aasthaengg/IBMdataset | Python_codes/p03001/s954891730.py | s954891730.py | py | 307 | python | ja | code | 0 | github-code | 90 |
73244711017 | import asyncio
import logging
import random
import ssl
from urllib.parse import urlparse
from typing import (
List,
Tuple,
)
from .. import (
Connection,
TcpAdaptor,
SslTransformer,
ReadUntilTransformer,
CommException,
TransformerEofError,
AdaptorEofError,
getaddrinfo,
)
from ... | kedixa/pykedixa | pykedixa/comm/websocket/websocket_processor.py | websocket_processor.py | py | 6,166 | python | en | code | 1 | github-code | 90 |
11090431275 | import sys
from requests_html import HTMLSession
from tkinter import *
from tkinter import messagebox
from PIL import ImageTk, Image # pip install Pillow
root = Tk()
def begin():
global e1
root.geometry("550x400")
text=Label(root, text = "Please enter a city name. ", font = ('Times', 20, "bold"), fg="b... | kevinarocha/weather-forecast | weather.py | weather.py | py | 1,623 | python | en | code | 0 | github-code | 90 |
10744204145 | #!/usr/bin/python
import numpy as np
import cupy as cp
class CCM:
'Color Correction Matrix'
def __init__(self, img, ccm):
self.img = img
self.ccm = ccm
def execute(self):
img_h = self.img.shape[0]
img_w = self.img.shape[1]
img_c = self.img.shape[2]
ccm_img =... | eric612/CuPyISP | model/ccm.py | ccm.py | py | 813 | python | en | code | 1 | github-code | 90 |
72350963817 | from src.aluno.base.funcionario import Funcionario
from src.cliente.irh_service import IRHService
from src.cliente.tipo import Tipo
class RHService(IRHService):
def __init__(self):
self.funcionarios = []
self.diarias = {}
self.divisaolucros = 0
def cadastrar(self, funcionario: Funcio... | ariellyg/miniprojetos3 | gestao-universitaria/src/aluno/manager/rh_service.py | rh_service.py | py | 3,523 | python | es | code | 0 | github-code | 90 |
43835599530 | from django.core.cache import cache
import sys
import json
from PyWebSystem.PyUtil.DickUpdate import process_request_dick, update_context
from PyWebSystem.PyUtil.pw_logger import logmessage
def get_session(sessionid=None):
if sessionid is None:
return False
else:
try:
if sessionid... | anji-a/PyWebSystem | PyWebSystem/PyUtil/GetSessionObject.py | GetSessionObject.py | py | 2,439 | python | en | code | 0 | github-code | 90 |
15853716423 | __author__ = "Emanuel Juliano Morais Silva"
__email__ = "emanueljulianoms@gmail.com"
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
import string
from textblob import TextBlob
import argparse
from empath import Empath
lexicon = Empath()
parser = argparse.ArgumentParser(de... | emanueljuliano/reddit_studies | _PushshiftReddit/data_analysis.py | data_analysis.py | py | 6,175 | python | en | code | 0 | github-code | 90 |
18476364359 | import itertools
from collections import Counter
import bisect
N = int(input())
lst = ['3','5','7']
anslst = []
for i in range(1,10):
for v in itertools.product(lst,repeat=i):
x = Counter(str(v))
if x['7'] >= 1 and x['5'] >= 1 and x['3'] >= 1:
anslst.append(int(''.join(v)))
anslst.sort(... | Aasthaengg/IBMdataset | Python_codes/p03212/s663845360.py | s663845360.py | py | 380 | python | en | code | 0 | github-code | 90 |
73534730857 | def Minimumdistances(a):
a = a.split(" ")
length = len(a)//2
left = length - 1
right = 0
if len(a) % 2 != 0:
right = length + 1
else:
right = length
for i in range(length):
print(a[int(left)],a[int(right)],"difference {}".format(int(right)-int(left)))
if a[in... | faiz687/CodingProblems | minimumdistances.py | minimumdistances.py | py | 459 | python | en | code | 0 | github-code | 90 |
22377262475 | # [69 2D 행렬 검색2]
# 내가 푼 것
# 재귀: arr[0][0]에서 시작하여 오른쪽, 아래쪽으로 재귀 호출.
def S(arr, target):
def F(m, n):
if m >= len(arr) or n >= len(arr[0]) or arr[m][n] is None:
return
if arr[m][n] == target:
return True
elif arr[m][n] < target:
arr[m][n] = None
if F(m+1, n) or F(m, n+1):
re... | hannayangg/penwing | # ridi/69.py | 69.py | py | 892 | python | ko | code | 0 | github-code | 90 |
72057667817 | from uuid import uuid4
from sqlalchemy.dialects.postgresql import UUID
from app.main import db
class Cart(db.Model):
__tablename__ = "cart"
id = db.Column(
UUID(as_uuid=True),
primary_key=True,
default=uuid4
)
user_id = db.Column(UUID(as_uuid=True), db.ForeignKey('users.id')... | wards-a/fashion-campus | app/main/model/cart.py | cart.py | py | 818 | python | en | code | 0 | github-code | 90 |
18242000799 | def divisor(n):
res = []
i = 1
while i*i <= n:
if not n % i:
res.append(i)
if (i*i != n): res.append(n//i)
i += 1
return res
N = int(input())
ans = 0
for d in divisor(N):
if d == 1: continue
n = N
while not n % d:
... | Aasthaengg/IBMdataset | Python_codes/p02722/s271999351.py | s271999351.py | py | 405 | python | en | code | 0 | github-code | 90 |
38107252523 | import math
from aufmassZeile import AufmassZeile
from component import Component
class PolyLine:
def __init__(self, poly_id=None, uid=None, symbol=None, points=None,
wallIndex=None):
"""
Constructor
:param poly_id: ID for Polyline
:param uid: Unique Id from ... | jkleinau/aufmassConverterPy | polyLine.py | polyLine.py | py | 2,170 | python | en | code | 0 | github-code | 90 |
18032987799 | N,M=list(map(int,input().split()))
import numpy as np
from scipy.sparse.csgraph import floyd_warshall
from scipy.sparse import csr_matrix
l=[np.array([0]*N) for i in range(N)]
for i in range(M):
tmp=(list(map(int,input().split())))
l[tmp[0]-1][tmp[1]-1]=tmp[2]
l[tmp[1]-1][tmp[0]-1]=tmp[2]
l2=csr_matrix(l)
l2=f... | Aasthaengg/IBMdataset | Python_codes/p03837/s399201625.py | s399201625.py | py | 458 | python | en | code | 0 | github-code | 90 |
40576901251 | import enum
import uuid
from datetime import datetime
from typing import List
from sqlalchemy import Boolean, Column, DateTime, Enum, ForeignKey, String, Table
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import Mapped, mapped_column, relationship
from src.database import BaseModel, Re... | notarious2/fastapi-chat | src/models.py | models.py | py | 3,740 | python | en | code | 0 | github-code | 90 |
18494306659 | n,m=map(int,input().split())
p = 10**9+7
def pfact(m):
pf = {}
for i in range(2,int(m**0.5)+1):
while m%i==0:
pf[i]=pf.get(i,0)+1
m//=i
if m>1:pf[m]=1
return pf
def cmb(n, r, p):
if (r < 0) or (n < r):
return 0
r = min(r, n - r)
return fact[n] * factinv[r] * factinv[n - r] % p
N = 3 * 10 ** 5 # N ... | Aasthaengg/IBMdataset | Python_codes/p03253/s937412182.py | s937412182.py | py | 781 | python | en | code | 0 | github-code | 90 |
74408486057 | """
Build a CPF (brazilian document) validator
A CPF has 12 numbers, it is validated by the last 2 digits
The first digit is equal to a sum of a regressive multiplication, starting at 10, with all the previous numbers so,
746.828.890-80 is a CPF
10 9 8 7 6 5 4 3 2 times:
7 4 6 8 2 4 8 9 0
70 36 ... | ThiDurante/PythonStudies | Basic/Exercise5.py | Exercise5.py | py | 3,493 | python | en | code | 0 | github-code | 90 |
40648533257 | #coding:utf-8
# @Info: 从人事档案表中提取数据
# @Author:Netfj@sina.com @File:word2db.py @Time:2019/3/30 6:50
import docx,logging,os,re
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
from setup_database import app, Person, Record_info, Home, Dwdm
from win32com import client
from tempfile import gettempdir
f... | netfj/emp | word2db.py | word2db.py | py | 25,050 | python | zh | code | 0 | github-code | 90 |
23221903498 | import cv2
import os
import sys
pro_dir = os.path.dirname(os.path.dirname(__file__))
sys.path.append(pro_dir)
from lib.utils.video import VideoWriter
def main():
video_path = r"/videos/test_part.mp4"
save_path = r"/videos/resized_test_part.mp4"
cap = cv2.VideoCapture(video_path)
w, h = (
in... | Daming-TF/Mediapipe-hands | tools/resize_video.py | resize_video.py | py | 1,006 | python | en | code | 3 | github-code | 90 |
5802649937 | import unittest
import numpy as np
from numpy.testing import assert_array_equal
from biggus._init import MaskValueArray
class Test___init__(unittest.TestCase):
def test_nd_array(self):
orig = np.arange(24)
array = MaskValueArray(orig, 3)
self.assertIs(array.array, orig)
class Test___ge... | SciTools/biggus | biggus/tests/unit/init/test_MaskValueArray.py | test_MaskValueArray.py | py | 1,610 | python | en | code | 54 | github-code | 90 |
71488124457 | import os
from pocketsphinx import LiveSpeech, get_model_path
from easytello import tello
model_path = get_model_path()
my_drone = tello.Tello()
speed = 30
#put your wake up code here
#this code will go once when you say wake up at the beggining
def funWakeUp():
print("Hey Adham :) ")
my_drone.takeoff()
... | AbedIdres/DroneMusic | Older Project/main.py | main.py | py | 2,645 | python | en | code | 1 | github-code | 90 |
19127363032 | t = int(input())
def bound(m, x):
if m >= 1:
n = 5**(m-1)
loc = x//n
# 1, 3 or 2 or 0, 4
if loc == 0 or loc == 4:
return 0
elif loc == 1 or loc == 3:
return n + bound(m-1, x % n)
elif loc == 3:
return 2*n + bound(m-1, x & n)
re... | adityakeerthi/competitive-programming | ccc/2011/S3.py | S3.py | py | 585 | python | en | code | 0 | github-code | 90 |
18337283289 | import sys
def input():
return sys.stdin.readline()[:-1]
sys.setrecursionlimit(1000000)
n,m=map(int,input().split())
lis = []
for i in range(m):
tmp = list(map(int,input().split()))
tmp.extend(list(map(int,input().split())))
lis.append(tmp)
dp = [[1000000000 for i in range(2**n)]for i in range(m+1)]
dp... | Aasthaengg/IBMdataset | Python_codes/p02901/s338047167.py | s338047167.py | py | 739 | python | en | code | 0 | github-code | 90 |
23535143305 | import matplotlib.pyplot as plt
# Given points (x, y, t)
points = [
(15, -1, 0), (7, 11, -7), (20, -8, 9),
(-16, -4, 13), (0, -11, 18), (19, -13, -8),
(16, 1, -14), (-14, -3, 10), (-7, 13, 1), (6, -10, 17)
]
# Extract x, y, and t values
x_values, y_v... | vitorpbarbosa7/mit_6.006 | psets/ps4-template/plotpoints.py | plotpoints.py | py | 820 | python | en | code | 0 | github-code | 90 |
17977213339 | N = int(input())
A = list(map(int, input().split()))
snk = A[0]
arg = sum(A)-snk
ans = abs(arg-snk)
for i in range(1, N-1):
snk += A[i]
arg -= A[i]
dif = abs(arg-snk)
ans = min(ans, dif)
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03659/s304472049.py | s304472049.py | py | 206 | python | en | code | 0 | github-code | 90 |
16170999310 | """
@time: 18-9-13
@author: zol
@contact: 13012215283@sina.cn
@file: create_train_data
@desc: Project of LinkingMed, Python3.6(64 bit), keras 2.1.6
"""
import os
import re
import math
import random
import numpy as np
import nibabel as nib
from nilearn import image
from glob import glob
from utils import split_filena... | SBZol/MRI-Segmentation | u_net_3d/create_train_data.py | create_train_data.py | py | 7,032 | python | en | code | 4 | github-code | 90 |
72879020458 | #suma de 1+2+3+4+...+n
import os
os.system('cls')
n=int(input('Dime hasta que numero necesitas la sumatoria: '))
i=0
suma=0
while i<=n:
suma=suma+i
i+=1
print('La suma es: ',suma)
os.system('cls')
suma=0
for i in range(1,n+1):
suma=suma+i
print('La suma es: ',suma) | EduardoCGarcia/Curso-Python | Sumatoria.py | Sumatoria.py | py | 282 | python | es | code | 0 | github-code | 90 |
314614158 | from django.contrib import admin
from .models.profile import Profile
from django.utils.translation import ugettext_lazy as _
# Register your models here.
class ProfileAdmin(admin.ModelAdmin):
list_display = [
'admin_photo',
'user',
'created',
'updated',
]
list_display_link... | ShahadatShuvo/datascience | profiles/admin.py | admin.py | py | 531 | python | en | code | 1 | github-code | 90 |
35771638654 | import argparse
from pathlib import Path
import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
import numpy as np
import matplotlib.pyplot as plt
from workspace_utils import active_session
def parse_arguments():
'''This funct... | Revak007/Udacity-AI-in-Python-Part-2 | train_helper.py | train_helper.py | py | 7,226 | python | en | code | 0 | github-code | 90 |
31812856960 | #!/usr/bin/env python3
import rospy
from giskardpy.configs.behavior_tree_config import OpenLoopBTConfig
from giskardpy.configs.collision_avoidance_config import CollisionAvoidanceConfig
from giskardpy.configs.giskard import Giskard
from giskardpy.configs.world_config import WorldConfig, Derivatives, np
from giskardpy.... | Universal-Simulation-Framework/UniverSim-Robots | pal_robotics/tiago_dual_control/scripts/giskard.py | giskard.py | py | 8,002 | python | en | code | 1 | github-code | 90 |
13467640697 | import datetime
from lib.servidor.conversor import SpeedConversor, VolumeConversor, VolumeUnit, SpeedUnit, AllowedGrandezas
mapa_grandeza = {
1: AllowedGrandezas.speed,
2: AllowedGrandezas.volume
}
mapa_unidade = {
3: SpeedUnit.mps,
4: SpeedUnit.kmph,
5: SpeedUnit.mph,
6: VolumeUnit.m3,
7:... | Caarvalho/naoabra | trabalho01/logger.py | logger.py | py | 1,355 | python | pt | code | 1 | github-code | 90 |
18381356249 | #!/usr/bin/env python3
# from numba import njit
# from collections import Counter
# from itertools import accumulate
# import numpy as np
# from heapq import heappop,heappush
# from bisect import bisect_left
# @njit
def solve(n,l):
l = sorted(l,key=lambda x: x[1])
consumedTime = 0
flag = True
for i in range(... | Aasthaengg/IBMdataset | Python_codes/p02996/s965983592.py | s965983592.py | py | 657 | python | en | code | 0 | github-code | 90 |
73402416298 | from django.shortcuts import render, redirect
from receipts.models import Receipt, ExpenseCategory, Account
from django.contrib.auth.decorators import login_required
from receipts.forms import CreateReceiptForm, CreateExpenseForm, CreateAccountForm
# Create your views here.
@login_required()
def receipt_list(request):... | Norma1dj/twoshot | receipts/views.py | views.py | py | 2,293 | python | en | code | 0 | github-code | 90 |
20079881276 | # ----------- Global Variables -----------
# Retro Color
CREAM = (247, 246, 196)
WHITE = (255, 255, 255)
RED = (202, 79, 91)
ORANGE = (241, 157, 93)
GREEN = (43, 89, 80)
LIME = (116, 164, 65)
BLUE = (111, 186, 170)
PURPLE = (45, 22, 45)
# logic variables
MAX_ATTEMPTS = 8
remaining_attempts = MAX_ATTEMPTS
correct_num =... | sparshg/py-games | src/NumberGame/constants.py | constants.py | py | 545 | python | en | code | 9 | github-code | 90 |
29290207316 | """
700. Search in a Binary Search Tree
Given the root node of a binary search tree (BST) and a value.
You need to find the node in the BST that the node's value equals the given value.
Return the subtree rooted with that node.
If such node doesn't exist, you should return NULL.
For example,
Given the tree:
... | mike-chesnokov/leetcode | tree/easy/0700_search_in_a_binary_search_tree.py | 0700_search_in_a_binary_search_tree.py | py | 1,903 | python | en | code | 0 | github-code | 90 |
30533054651 | import datetime
import pandas as pd
import psycopg2 as pg
from core import get_registered_emission_from_db
"""
Този модул чете данни за текущите котировки при наблюдаваните компании и изчислява спреда между тях.
Модула се изпълнява веднъж дневно в периода 10:30:00 до 17:00:00 часа.
Модула тегли данни от сайт... | olgayordanova/Artificial-Intelligence | DataScience/sofix_project/read_spread.py | read_spread.py | py | 4,361 | python | en | code | 1 | github-code | 90 |
24998877145 | def shortestSeq(big: [int], small: [int]) -> [int]:
small_set = {s for s in small}
m = len(small)
d = {s: 0 for s in small}
left = 0
cnt = 0
res = [0, 100000]
for right, b in enumerate(big):
if b not in small_set:
continue
d[b] += 1
if d[b] == 1:
... | Lycorisophy/LeetCode_python | 中等难度/面试题 17.18. 最短超串.py | 面试题 17.18. 最短超串.py | py | 873 | python | en | code | 1 | github-code | 90 |
19660133827 | """
- Retrieves quotes from an online site, using web scraping.
- Outputs the quotes retrieved randomly.
"""
import requests
from bs4 import BeautifulSoup
import random
def random_quote():
# Send a GET request to the website
response = requests.get("https://example.com/quotes")
# Create a BeautifulSoup ... | houdinipapi/Huncho | 20-Beginner_Python_projects/Random Quote Generator/random_quote_scraper.py | random_quote_scraper.py | py | 740 | python | en | code | 0 | github-code | 90 |
14531334021 | import os
import json
def extract_route(request):
# request é uma string
lista_split = request.split()
i = len(request)-1
route = lista_split[1][1:i]
return route
def read_file(path):
# path é um caminho
filename, file_extension = os.path.splitext('/path/to/somefile.ext')
extensions_li... | andresabcb/Q1_PI_TecWeb | Projeto1A_404/utils.py | utils.py | py | 2,610 | python | en | code | 0 | github-code | 90 |
70289098218 | #!/bin/python3
#https://www.hackerrank.com/challenges/mini-max-sum/problem
import math
import os
import random
import re
import sys
# Complete the miniMaxSum function below.
def miniMaxSum(arr):
sm = sum(arr,0)
mn = sm
mx = 0
for i in arr:
if((sm-i) <mn):
mn = sm -i
if ((sm... | build3r/Competitive-Coding-Daily | MknMax_24_09.py | MknMax_24_09.py | py | 479 | python | en | code | 1 | github-code | 90 |
28790956765 | #creare una funzione che prenda come input due liste di stessa lunghezza e restituisca un dizionario con chiave e valori dati dagli elementi appaiati delle due liste
def zip_lists(ls1, ls2):
dict_zip = {}
for key, value in zip(ls1, ls2):
dict_zip[key] = value
return dict_zip
print(zip_lists([... | sciucca8/Python_PracticeAndMore | Others/Test1_PythonCheckpoint.py | Test1_PythonCheckpoint.py | py | 362 | python | it | code | 0 | github-code | 90 |
22595698398 | import numpy as np
from sklearn.linear_model import LogisticRegression
from .models import User
from .twitter import vectorize_tweet
def predict_user(user0_name, user1_name, tweet_text):
"""takes two users that will be compared"""
user0 = User.query.filter(User.name == user0_name).one()
user1 = User.qu... | KilovoIt/twitoff-updated | twitoff/predict.py | predict.py | py | 901 | python | en | code | 0 | github-code | 90 |
13219695328 | import re
import urllib2
import time
import json
from datetime import datetime
from dateutil import parser
from dateutil import rrule
import pandas as pd
signs = ["general", "aries", "taurus", "gemini", "cancer", "leo", "virgo",
"libra", "scorpio", "saggitarius", "capricorn", "aquarius", "picies"]
horoscope... | billpmurphy/horoscopes | horoscraper.py | horoscraper.py | py | 2,777 | python | en | code | 0 | github-code | 90 |
14864549626 | from django.shortcuts import render
from .models import Library
# Create your views here.
def insert_library_details(schema):
print("In insert libaray details")
text = "Library " + schema
lib = Library(name = text, rating=5)
lib.save()
return lib
| sreyasvm/python | django/pollsapp/tenant_independent/views.py | views.py | py | 270 | python | en | code | 0 | github-code | 90 |
18584564229 | N,a,b = map(int, input().split())
sum=0
for i in range(1,N+1):
c=0
d=i
while d>0:
c+=d%10
d//=10
if a<=c<=b:
sum+=i
print(sum) | Aasthaengg/IBMdataset | Python_codes/p03478/s763526185.py | s763526185.py | py | 171 | python | en | code | 0 | github-code | 90 |
18448625079 | N = int(input())
L = list(map(int, input().split()))
max_L = max(L)
max_i = L.index(max(L))
sum_without_max = sum([*L[:max_i], *L[max_i+1:]])
if sum_without_max > max_L:
print("Yes")
else:
print("No") | Aasthaengg/IBMdataset | Python_codes/p03136/s321092058.py | s321092058.py | py | 211 | python | en | code | 0 | github-code | 90 |
32409025596 | """
重新构建v2_6的数据集，一张图片对应一个images的一个unit，每个手对应annotations的一个unit
images['id']标识图片id
annotations['id']标识手对象id
annotation['image_id']标识图片id
同时把所有关键点坐标保留两位保存
对于不同数据集的convert_coco_format仅需要对load_data做修改
对于load_data: 参照coco的读取数据方式，以原始图片名做索引号，对每张图片存储关键信息单元如下
unit_dict = dict({
'hand_type': hand_type,
... | Daming-TF/HandData | scripts/Data_Interface/halpe_full_body/convert_coco_format_from_whole_body-v2_6.py | convert_coco_format_from_whole_body-v2_6.py | py | 6,825 | python | en | code | 1 | github-code | 90 |
33674942367 | import tracemalloc
import time
t_start = time.perf_counter()
tracemalloc.start()
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
self.parent = None
self.size = None
class Tree:
def __init__(self):
sel... | Algos-ICT/lab-2_2-KorolevaEkaterina334740 | 16.py | 16.py | py | 4,415 | python | en | code | 0 | github-code | 90 |
18511299389 | d, g = map(int, input().split())
pc_ls = []
for i in range(d):
p, c = map(int, input().split())
pc_ls.append([p, c])
ptns = []
for i in range(2 ** d):
ptn = []
for j in range(d):
if ((i >> j) & 1):
ptn.append(j)
ptns.append(ptn)
ret = 10 ** 10
for item in ptns:
cnt = 0
... | Aasthaengg/IBMdataset | Python_codes/p03290/s986410860.py | s986410860.py | py | 997 | python | en | code | 0 | github-code | 90 |
18636890027 | # -*- coding: utf-8 -*-
"""
Created on Sat Dec 22 20:35:08 2018
@author: omi
"""
from sklearn import tree
import pandas as pd
from sklearn.metrics import classification_report,confusion_matrix
eeg_data=pd.read_csv("F:\\Python scikit learner\\3FC6_train.csv")
eeg_test_data=pd.read_csv("F:\\Python scikit lea... | MdOchiuddinMiah/Machine_Learning_Python_scikit_learn | Python scikit learner/differentsensor_performance.py | differentsensor_performance.py | py | 945 | python | en | code | 0 | github-code | 90 |
21513990371 | from argparse import ArgumentParser
from logging import getLogger
from pathlib import Path
from pipeline.config import Config
from pipeline.data_module import build_data_module
from pipeline.runner import build_runner
from src.utils import set_seed, setup_logger
def main():
parser = ArgumentParser()
parser.... | sakami0000/kaggle_pipeline | main.py | main.py | py | 937 | python | en | code | 7 | github-code | 90 |
73530503658 | import torch, os
from torch import optim
import numpy as np
import pandas as pd
import argparse
from torch.utils.data import random_split, DataLoader
import sys
sys.path.append("../util")
# from FNO2d import FNO_multimodal_2d
# from SM_FNO2d_remove_physics_injection import FNO_multimodal_2d
from simulation_datas... | ChenkaiMao97/MAML_EM_simulation | DDM/ICLR_evaluation/test_evaluation_FNO.py | test_evaluation_FNO.py | py | 16,410 | python | en | code | 3 | github-code | 90 |
18200929877 | from CalefactorElectrico import CalefactorElectrico
from CalefactorAGas import CalefactorAGas
from Coleccion import Coleccion
import csv
def test():
calElectrico1 = CalefactorElectrico("Magiclick", "C1009", 2000, None, None)
calAGas1 = CalefactorAGas("Eskabe", "S21 MX 3",None ,"GN01-00001-06-057", 3000)... | mrtrz257/2022-poo-unidad3 | Ejercicio 4/main.py | main.py | py | 3,498 | python | es | code | 0 | github-code | 90 |
21667462860 | from collections import defaultdict
from typing import Dict
class Octopus:
def __init__(self, energy_level: int) -> None:
self.flashed = False
self.energy_level = energy_level
def energise(self) -> None:
self.energy_level += 1
def flash(self) -> None:
self.flashed = True
... | kwyckmans/advent-of-code-2021 | day11/day11.py | day11.py | py | 3,804 | python | en | code | 0 | github-code | 90 |
22770222973 | class Solution(object):
def maxSubArray(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
right = 0
right_reg = 0
left = len(nums) - 1
left_reg = left
right_sum = left_sum = 0
while right<left:
right_sum += nums[right]... | amisyy/leetcode | maxSubArray.py | maxSubArray.py | py | 872 | python | en | code | 0 | github-code | 90 |
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