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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
6425932746 | # 회사원 Demi는 가끔은 야근을 하는데요, 야근을 하면 야근 피로도가 쌓입니다.
# 야근 피로도는 야근을 시작한 시점에서 남은 일의 작업량을 제곱하여 더한 값입니다.
# Demi는 N시간 동안 야근 피로도를 최소화하도록 일할 겁니다.
# Demi가 1시간 동안 작업량 1만큼을 처리할 수 있다고 할 때, 퇴근까지 남은 N 시간과 각 일에 대한 작업량 works에 대해
# 야근 피로도를 최소화한 값을 리턴하는 함수 solution을 완성해주세요.
# 제한 사항
# works는 길이 1 이상, 20,000 이하인 배열입니다.
# works의 원소는 50... | script-brew/2019_KCC_Summer_Study | programmers/Lv_3/MaengSanha/noOvertime.py | noOvertime.py | py | 1,382 | python | ko | code | 0 | github-code | 6 |
41409285856 | import json
estudantes = []
professores = []
disciplinas = []
turmas = []
matriculas = []
def main():
while True:
print("Menu Principal")
print("1. Estudantes")
print("2. Disciplinas")
print("3. Professores")
print("4. Turmas")
print("5. Matrículas")
... | enzupain/Python-Projetos | sistema gerenciamento academico.py | sistema gerenciamento academico.py | py | 18,786 | python | pt | code | 0 | github-code | 6 |
31221042600 | '''num=int(input("the number below 30 is:"))
if num>0 and num<10:
print("the number is between 0to 10")
if num>=10 and num<20: #PROMPT METHOD
print("the number is between 10to 20")
if num>=20 and num<30:
print("the number is between 20to 30")'''
a= int(input(... | Manikantakalla123/training-phase1 | range.py | range.py | py | 596 | python | en | code | 0 | github-code | 6 |
10620073145 | #!/usr/bin/python
import unittest
import sys
sys.path.insert(0, '../src')
from Weapon import Weapon
from Character import Character
from Clock import Clock
from Dice import Dice
class WeaponTest(unittest.TestCase):
def setUp(self):
sut_skills = []
sut_ability_set = {}
sut_cooldown_set = {... | jaycarson/fun | app/tst/WeaponTest.py | WeaponTest.py | py | 1,076 | python | en | code | 0 | github-code | 6 |
7160469481 | import skfuzzy as fuzz
from skfuzzy import control as ctrl
import numpy as np
import matplotlib.pyplot as plt
def v(d, a):
return np.sqrt((d * 9.81) / np.sin(2 * np.radians(a)))
def main():
x_distance = np.arange(1, 100, 5)
x_angle = np.arange(1, 90, 1)
distance = ctrl.Antecedent(x_distance, 'dista... | DonChaka/PSI | Fuzzy/fuzzy_easy.py | fuzzy_easy.py | py | 2,354 | python | en | code | 0 | github-code | 6 |
72033875709 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
dataset = pd.read_csv('forestfires.csv')
pd.plotting.scatter_matrix(dataset)
X = dataset.iloc[:,0:12].values
y = dataset.iloc[:,-1].values
dataset.isnull().sum()
dataset.info()
temp = pd.DataFrame(X[:,[2,3]])
temp_month = pd.get_du... | Manavendrasingh/ML-code | forestfire.py | forestfire.py | py | 1,103 | python | en | code | 0 | github-code | 6 |
5345020806 | import email.utils
import json
import os
import smtplib
import ssl
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from pathlib import Path
import jinja2
from dotenv import load_dotenv
send_user = ""
load_dotenv()
class SendEmailController:
def __init__(self):
pass
... | nguyendoantung/e-maintenance-system | back-end/service/utils/email/EmailController.py | EmailController.py | py | 3,978 | python | en | code | 0 | github-code | 6 |
1633248512 | from builtins import next
from builtins import range
import os
import datetime
from xml.sax.saxutils import quoteattr
import sys
import logging
import random
import glob
from itertools import cycle
from flask import Blueprint, url_for, Response, stream_with_context, send_file, \
jsonify
from werkzeug.datastructure... | cmusatyalab/opendiamond | opendiamond/dataretriever/augment_store.py | augment_store.py | py | 6,831 | python | en | code | 19 | github-code | 6 |
655282827 | import argparse
import os
import torch
import torch_em
from torch_em.model import AnisotropicUNet
ROOT = '/scratch/pape/mito_em/data'
def get_loader(datasets, patch_shape,
batch_size=1, n_samples=None,
roi=None):
paths = [
os.path.join(ROOT, f'{ds}.n5') for ds in datasets
... | constantinpape/torch-em | experiments/unet-segmentation/mitochondria-segmentation/mito-em/challenge/embeddings/train_embeddings.py | train_embeddings.py | py | 4,556 | python | en | code | 42 | github-code | 6 |
11499299532 | import requests,json
def ranking(duration="daily",ranking_type="break",offset=0,lim=20,unit=False):
try:
resp = requests.get(f'https://w4.minecraftserver.jp/api/ranking?type={ranking_type}k&offset={offset}&lim={lim}&duration={duration}')
data_json = json.loads(resp.text)
rank_list = list(dat... | nekorobi-0/seichi_ranking | seichi_ranking.py | seichi_ranking.py | py | 3,146 | python | en | code | 2 | github-code | 6 |
26042467106 | from __future__ import annotations
import logging
from abc import ABCMeta
from dataclasses import dataclass
from pants.core.util_rules.environments import EnvironmentNameRequest
from pants.engine.environment import EnvironmentName
from pants.engine.fs import MergeDigests, Snapshot, Workspace
from pants.engine.goal im... | pantsbuild/pants | src/python/pants/core/goals/generate_snapshots.py | generate_snapshots.py | py | 3,031 | python | en | code | 2,896 | github-code | 6 |
30827334271 | import json
import os
class FileUtils:
@staticmethod
def readJsonFile(filePath):
with open(filePath, 'r', encoding='utf-8') as file:
jsonData = json.load(file)
return jsonData
@staticmethod
def writeJsonFile(filePath, jsonData):
with open(filePath, 'w', encoding='u... | Danny0515/Portfolio-crawler | src/main/utils/FileUtils.py | FileUtils.py | py | 622 | python | en | code | 0 | github-code | 6 |
29852066628 | __author__ = "Rohit N Dubey"
from django.conf.urls import patterns, include, url
from django.contrib import admin
from views import Ignite
from . import prod
urlpatterns = patterns('',
url(r'^ui/(?P<path>.*)$', 'django.views.static.serve', { 'document_root': prod.UI_ROOT, }),
url(r'^api/pool... | salran40/POAP | ignite/urls.py | urls.py | py | 805 | python | en | code | 0 | github-code | 6 |
9777903968 | import math
from django.db import models
from django.db.models.signals import pre_save, post_save
from apps.addresses.models import Address
from apps.carts.models import Cart
from apps.billing.models import BillingProfile
from main.utils import unique_order_id_generator
# ORDER STATUS OPTIONS
ORDER_STATUS_CHOICES = (... | ehoversten/Ecommerce_Django | main/apps/orders/models.py | models.py | py | 4,469 | python | en | code | 2 | github-code | 6 |
73100458107 | # Network Traffic Analyzer:
# Analyze network packet captures for anomalies and threats.
# pip install pyshark
'''
Python script that reads a Wireshark PCAP file and performs basic security analysis,
such as identifying suspicious traffic, detecting port scans, and checking for potential security threats.
The scrip... | Cnawel/greyhat-python | wireshark/traffice_analyzer.py | traffice_analyzer.py | py | 1,415 | python | en | code | 0 | github-code | 6 |
41858795618 | #############################################################################################
# Foi feita uma estatística em cinco cidades brasileiras para coletar dados sobre acidentes #
# de trânsito. Foram obtidos os seguintes dados: #
# a) Código da cidade; ... | nralex/Python | 3-EstruturaDeRepeticao/exercício40.py | exercício40.py | py | 2,234 | python | pt | code | 0 | github-code | 6 |
15363352723 | # ABC095 - C
a,b,c,x,y = [int(x) for x in input().split()]
ans = 0
ans += min((a+b)*min(x,y),c*2*min(x,y))
# 先ずmin(x,y)個まで買うときのパターンを考える
if x == y:
print(ans)
exit()
if x > y: # 足りないピザの情報を記録
rest = ["x",max(x,y)-min(x,y)]
else:
rest = ["y",max(... | idylle-cynique/atcoder_problems | AtCoder Beginners Contest/ABC095-C.py | ABC095-C.py | py | 513 | python | en | code | 0 | github-code | 6 |
12959904969 | from .declarative import (
declarative,
get_declared,
get_members,
)
from .dispatch import dispatch
from .evaluate import (
evaluate,
evaluate_recursive,
evaluate_recursive_strict,
evaluate_strict,
get_callable_description,
matches,
)
from .namespace import (
EMPTY,
flatten,
... | jlubcke/tri.declarative | lib/tri_declarative/__init__.py | __init__.py | py | 6,981 | python | en | code | 17 | github-code | 6 |
30886261452 | ######### import statements for sample_models.py ###########
from keras import backend as K
from keras.models import Model
from keras.layers import (BatchNormalization, Conv1D, Dense, Input,
TimeDistributed, Activation, Bidirectional, SimpleRNN, GRU, LSTM)
################################
########### import... | MdAbuNafeeIbnaZahid/English-Speech-to-Text-Using-Keras | speech-recognition-neural-network/train.py | train.py | py | 31,706 | python | en | code | 6 | github-code | 6 |
28892210067 | import os
import time
def log(filename, text):
"""
Writes text to file in logs/mainnet/filename and adds a timestamp
:param filename: filename
:param text: text
:return: None
"""
path = "logs/mainnet/"
if not os.path.isdir("logs/"):
os.makedirs("logs/")
if not os.path.isdi... | Devel484/Equalizer | API/log.py | log.py | py | 871 | python | en | code | 4 | github-code | 6 |
32028505345 | #x = int(input())
#y = int(input())
#z = int(input())
#n = int(input())
#
#array = []
#for valuex in range(0,x+1):
# for valuey in range (0,y+1):
# for valuez in range (0,z+1):
# if (valuex + valuey + valuez ==n):
# continue
# else:
# array.append([value... | Andreius-14/Notas_Mini | 3.Python/Hackerrank/array.py | array.py | py | 899 | python | en | code | 0 | github-code | 6 |
6309221669 | # this sets your path correctly so the imports work
import sys
import os
sys.path.insert(1, os.path.dirname(os.getcwd()))
from api import QuorumAPI
import json
# this library will let us turn dictionaries into csv files
import csv
STATES = {
'AK': 'Alaska',
'AL': 'Alabama',
'AR': 'Arkansas',
... | wynonna/from_GWC_laptop | quorum-gwc-master/project_2/main.py | main.py | py | 5,060 | python | en | code | 0 | github-code | 6 |
37559653754 |
from selenium import webdriver
import time
# Have to change the path according to where your chromedriver locate
PATH = "C:\Program Files (x86)\chromedriver.exe"
driver = webdriver.Chrome(PATH)
driver.get("http://ec2-54-208-152-154.compute-1.amazonaws.com/")
arrayOfBar = []
arrayLeftBowl = []
arrayRight... | LiyaNorng/Fetch-Rewards-Coding-Exercise | FakeGold.py | FakeGold.py | py | 2,344 | python | en | code | 1 | github-code | 6 |
60822349 | """
scrapy1.5限制request.callback and request.errback不能为非None以外的任何非可调用对象，导致一些功能无法实现。这里解除该限制
"""
from scrapy import Request as _Request
from scrapy.http.headers import Headers
class Request(_Request):
def __init__(self, url, callback=None, method='GET', headers=None, body=None,
cookies=None, meta=No... | ShichaoMa/structure_spider | structor/custom_request.py | custom_request.py | py | 1,255 | python | en | code | 29 | github-code | 6 |
24452709455 | import json
import os
import random
from nonebot import on_keyword, logger
from nonebot.adapters.mirai2 import MessageSegment, Bot, Event
tarot = on_keyword({"塔罗牌"}, priority=5)
@tarot.handle()
async def send_tarot(bot: Bot, event: Event):
"""塔罗牌"""
card, filename = await get_random_tarot()
image_dir = ... | mzttsaintly/Warfarin-bot | warfarin/plugins/Tarot/__init__.py | __init__.py | py | 1,590 | python | en | code | 1 | github-code | 6 |
32509281023 | import torch
import torch.nn as nn # nn.linear 라이브러리를 사용하기 위해 import
# F.mse(mean squared error) <- linear regression, LOSS Function 존재
# Classification problem에서 사용하는 loss function : Cross-Entropy
import torch.nn.functional as F
import torch.optim as optim # SGD, Adam, etc.최적화 라이브러리
# 임의 데이터 생성
# 입력이 1, 출력이 1... | JEONJinah/Shin | multi_varialbe_LR.py | multi_varialbe_LR.py | py | 2,761 | python | ko | code | 0 | github-code | 6 |
38958650130 | import os
if not os.path.exists('./checkpoints'):
os.makedirs('./checkpoints')
if not os.path.exists('./model'):
os.makedirs('./model')
#Simulation configuration
MAX_EPISODE = 500
TS = 1e-3
CLR_DECAY = 0
ALR_DECAY = 0
# Hyper-parameters
WARMUP = False
EPS_WARM = 5
#Learning strategies
PANDA = True
TRAIN ... | giuliomattera/Cartpole-RL-agents-control-ros-bridge-for-simulink | rl_connection/src/config.py | config.py | py | 328 | python | en | code | 6 | github-code | 6 |
18307407152 | import importlib.util as iutil
import os
from datetime import datetime
from time import perf_counter
from uuid import uuid4
import numpy as np
import yaml
from aequilibrae.distribution.ipf_core import ipf_core
from aequilibrae.context import get_active_project
from aequilibrae.matrix import AequilibraeMatrix, Aequili... | AequilibraE/aequilibrae | aequilibrae/distribution/ipf.py | ipf.py | py | 10,544 | python | en | code | 140 | github-code | 6 |
32483785153 |
import random
from collections import Counter
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, Scale, bias_init_with_prob, normal_init
from mmcv.runner import force_fp32
import nltk
from nltk.cluster.kmeans import KMeansClusterer
from mmdet.core import (anchor_ins... | johnran103/mmdet | test_dy_conv.py | test_dy_conv.py | py | 5,635 | python | en | code | 1 | github-code | 6 |
17940292131 | from sklearn.metrics import confusion_matrix, roc_auc_score
import json
import numpy as np
def general_result(y_true, y_score, threshold=0.6):
def pred(score, best_thresh):
label = 0
if score > best_thresh:
label = 1
return label
y_score = np.array(y_score)
if len(y_scor... | jingmouren/antifraud | antifraud/metrics/normal_function.py | normal_function.py | py | 2,233 | python | en | code | 0 | github-code | 6 |
71567880507 | class Zoo:
__animals = 0
def __init__(self, name):
self.name = name
self.mammals =[]
self.fishes = []
self.birds = []
def add_animal(self, species, name):
if species == 'mammal':
self.mammals.append(name)
elif species == 'fish':
self.f... | lorindi/SoftUni-Software-Engineering | Programming-Fundamentals-with-Python/6.Objects and Classes/4_zoo.py | 4_zoo.py | py | 1,179 | python | en | code | 3 | github-code | 6 |
36396554295 | """
Compare catalogs of candidates and benchmarks.
"""
from __future__ import annotations
# __all__ = ['*']
__author__ = "Fernando Aristizabal"
from typing import Iterable, Optional, Callable, Tuple
import os
import pandas as pd
from rioxarray import open_rasterio as rxr_or
import xarray as xr
import dask.dataframe ... | NOAA-OWP/gval | src/gval/catalogs/catalogs.py | catalogs.py | py | 9,027 | python | en | code | 14 | github-code | 6 |
1547074247 | from settings import *
# Import Data
df = pd.read_csv("data/mpg_ggplot2.csv")
# Draw Stripplot
fig, ax = plt.subplots(figsize=(16, 10), dpi=80)
sns.stripplot(df.cty, df.hwy, jitter=0.25, size=8, ax=ax, linewidth=.5)
# Decorations
plt.title('Use jittered plots to avoid overlapping of points', fontsize=22)
plt.show()
| Rygor83/Plotting_with_python | 05.py | 05.py | py | 320 | python | en | code | 1 | github-code | 6 |
29643271631 | # -*- coding: utf-8 -*-
# (c) 2015 Alfredo de la Fuente - AvanzOSC
# License AGPL-3 - See http://www.gnu.org/licenses/agpl-3.0.html
from openerp import models, fields, api
from dateutil.relativedelta import relativedelta
class ProcurementOrder(models.Model):
_inherit = 'procurement.order'
@api.multi
def ... | odoomrp/odoomrp-wip | procurement_plan/models/procurement.py | procurement.py | py | 5,931 | python | en | code | 119 | github-code | 6 |
35093472448 | import pygame, sys, operator, random, time
from pygame.locals import *
# Global variables
WIDTH = 800
HEIGHT = 500
SUB_SPEED = 3
BUBBLE_MAX_SPEED = 1
TIME_LIMIT = 30
BONUS_SCORE = 1500
BLACK = (0, 0, 0)
BLUE = (12,34,56)
RED = (255,0,0)
WHITE = (255,255,255)
x_sub = 40
y_sub = 250
score = 0
game_end = time.time() + ... | nicoseng/bubble_blaster | test.py | test.py | py | 7,112 | python | en | code | 0 | github-code | 6 |
9799846415 | # CSC_120 Logbook : Pg 9, Exercise 4
# Start Program
# Variable declaration and initialization
v = 512
w = 282
x = 47.48
y = 5
# Calculation phase
z = (v - w) / (x + y)
# Outputs the result of the computation
print("The result of the computation is : ", z)
# End Program
| Muhdal-Amin/CSC_120_pg9 | compute/compute.py | compute.py | py | 277 | python | en | code | 0 | github-code | 6 |
20269902024 | import os.path
import math
import numpy
import json
import bz2
import platereader
from platereader.replicate import Replicate
from platereader.statusmessage import StatusMessage, Severity
from platereader.csvunicode import CsvFileUnicodeWriter, CsvFileUnicodeReader
from platereader.parser import tecan, bioscreen
clas... | platereader/gathode | platereader/plate.py | plate.py | py | 71,939 | python | en | code | 4 | github-code | 6 |
648697707 | import numbers
import time
from itertools import product
import numpy as np
import torch
try:
from tqdm import tqdm
except ImportError:
def tqdm(x):
return x
def product1d(inrange):
for ii in inrange:
yield ii
def slice_to_start_stop(s, size):
"""For a single dimension with a give... | constantinpape/3d-unet-benchmarks | bench_util/inference.py | inference.py | py | 7,760 | python | en | code | 3 | github-code | 6 |
29007933984 | # Databricks notebook source
from pyspark.sql.functions import expr, col
import pyspark.sql.functions as fn
sampleEmployee = spark.read.format("csv").option("header","true").load("dbfs:/FileStore/shared_uploads/bhaskar.dakoori072@gmail.com/us_500.csv")
# COMMAND ----------
employeeDF = sampleEmployee.withColumn('web'... | bhaskar553/DatabricksAssignment | Vaccine Drive Assignment.py | Vaccine Drive Assignment.py | py | 2,302 | python | en | code | 0 | github-code | 6 |
31273796258 | #This file contains helpers that help the process of the assembler
#Helps to get the name of the new file
def fix_name(line, op = "//"):
opIndx = line.find(op)
if opIndx == -1: #Doesnt found the op
return line
elif opIndx == 0: #The comment is on the beginning of the line
return ... | fcortesj/Computer_Architecture | proyectos/06/src/utils.py | utils.py | py | 1,823 | python | en | code | 0 | github-code | 6 |
43734225885 | # -*- coding: utf-8 -*-
"""
Created on Mon May 10 19:03:44 2021
@author: Samael Olascoaga
@email: olaskuaga@gmail.com
"""
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv('drugbank.csv')
overlap = []
for i in range(0, 1000000):
set1 = s... | Olascoaga/Senotherapy | bootstrapping_targets.py | bootstrapping_targets.py | py | 938 | python | en | code | 1 | github-code | 6 |
21419147973 | import numpy as np
from os.path import join
from psbody.mesh import Mesh
from fitting.landmarks import load_embedding, landmark_error_3d, mesh_points_by_barycentric_coordinates, load_picked_points
from fitting.util import load_binary_pickle, write_simple_obj, safe_mkdir, get_unit_factor
import open3d as o3d
import argp... | qdmy/flame-fitting | modify_pointcloud.py | modify_pointcloud.py | py | 11,254 | python | en | code | 0 | github-code | 6 |
30353219011 | from os.path import abspath
from io import BytesIO
import copy
# Local imports.
from common import TestCase, get_example_data
class TestOptionalCollection(TestCase):
def test(self):
self.main()
def do(self):
############################################################
# Imports.
... | enthought/mayavi | integrationtests/mayavi/test_optional_collection.py | test_optional_collection.py | py | 4,072 | python | en | code | 1,177 | github-code | 6 |
28300388553 | import pandas as pd
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
# Load the datasets
regular_season_results = pd.read_csv('MRegularSeasonDetailedResults.csv')
tournament_results = pd.read_csv('MNCAATourneyDetaile... | lakshayMahajan/March-Madness-ML | madness.py | madness.py | py | 4,404 | python | en | code | 0 | github-code | 6 |
30138290765 | # !/usr/local/python/bin/python
# -*- coding: utf-8 -*-
# (C) Wu Dong, 2020
# All rights reserved
# @Author: 'Wu Dong <wudong@eastwu.cn>'
# @Time: '2020-04-09 14:39'
""" 演示自定义响应类
"""
# sys
import json
# 3p
from flask import Flask
from pre_request import BaseResponse
from pre_request import pre, Rule
class CustomRespo... | Eastwu5788/pre-request | examples/example_flask/example_response.py | example_response.py | py | 1,281 | python | en | code | 55 | github-code | 6 |
14149751216 | def freq_table(sentence):
"""Returns a table with occurences of each letter in the string. Case insensitive"""
sentence = sentence.lower()
sentence = sentence.replace(" ", "")
letter_dict = {}
for letter in sentence:
letter_dict[letter] = letter_dict.get(letter, 0) + 1
keys_list = list(... | Tomasz-Kluczkowski/Education-Beginner-Level | THINK LIKE A COMPUTER SCIENTIST FOR PYTHON 3/CHAPTER 20 DICTIONARIES/string frequency table.py | string frequency table.py | py | 505 | python | en | code | 0 | github-code | 6 |
37091297903 | #!/usr/bin/python
from __future__ import print_function
import negspy.coordinates as nc
import sys
import argparse
from itertools import tee
def pairwise(iterable):
"s -> (s0, s1), (s2, s3), (s4, s5), ..."
a = iter(iterable)
return zip(a, a)
def main():
parser = argparse.ArgumentParser(description="... | pkerpedjiev/negspy | scripts/chr_pos_to_genome_pos.py | chr_pos_to_genome_pos.py | py | 3,851 | python | en | code | 9 | github-code | 6 |
13767499463 | import os
import pytest
from stips import stips_data_base
# from stips.utilities import SelectParameter
# from stips.utilities.utilities import GetParameter
@pytest.fixture(autouse=True)
def pre_post_test():
# Setup config file environment variable
config_param = None
if "stips_config" in os.environ:
... | spacetelescope/STScI-STIPS | stips/utilities/tests/test_config.py | test_config.py | py | 2,091 | python | en | code | 12 | github-code | 6 |
10211319525 | # -*- coding: utf8 -*-
from django.test import TestCase
from django.apps import apps
from blog.models import ExecuteStatus, Tag
from blog.models import TestCase as TC
from django.contrib.auth.models import User
import datetime
import os
class TestCaseModelTestCase(TestCase):
def setUp(self):
#apps.get_app... | charleszh/rf-web | DjangoDemo/blog/tests/test_models.py | test_models.py | py | 1,209 | python | en | code | 0 | github-code | 6 |
15565393240 | import logging
import os
from typing import List
from plumbum import cmd, local
from pathlib import Path
import doit
from doit.action import CmdAction
from constants import DEFAULT_DB, DB_USERNAME, DB_PASSWORD, VERBOSITY_DEFAULT
logging.basicConfig()
logger = logging.getLogger("dodo")
logger.setLevel(logging.DEBUG)
... | karthik-ramanathan-3006/15-799-Special-Topics-in-Database-Systems | dodos/dodo.py | dodo.py | py | 7,577 | python | en | code | 0 | github-code | 6 |
8927274924 | from datetime import datetime as dt
from datetime import timedelta
import pickle
import time
import dask.dataframe as dd
from dask.distributed import as_completed, worker_client
import numpy as np
import pandas as pd
import requests
import s3fs
BUCKET = "insulator-citi-bikecaster"
INSULATOR_URLS = [
"https://api... | EthanRosenthal/citi-bikecaster-model | calcs.py | calcs.py | py | 4,374 | python | en | code | 0 | github-code | 6 |
27646567910 | import http.server
from colorama import Fore, Style
import os
import cgi
HOST_NAME = '127.0.0.1' # Kali IP address
PORT_NUMBER = 80 # Listening port number
class MyHandler(http.server.BaseHTTPRequestHandler): # MyHandler defines what we should do from the client / target
def do_GET(s):
# If we got a G... | zAbuQasem/Misc | http reverse shell/Server.py | Server.py | py | 2,367 | python | en | code | 6 | github-code | 6 |
9238631713 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 6 17:18:39 2019
@author: akshaf
"""
import numpy as np
data1 = [[1,2,3,4],[5,6,7,8],["ab","c","d","d"]]
print("data1",data1)
type(data1)
a = np.array(data1)
a
type(a) # This give numpy array
data1.__class__ # similar to type(data1) function
a.__class__ # similar to t... | akshafmulla/PythonForDataScience | Basics_of_Python/Code/16 Numpy.py | 16 Numpy.py | py | 936 | python | en | code | 0 | github-code | 6 |
32312362218 | from osgeo import gdal
import numpy as np
# calculating SAVI and NDVI
noDataVal = -28672
def calculate_ndvi(nir, red):
valid_mask = (nir != noDataVal) & (red != noDataVal)
ndvi_band = np.where(valid_mask, (nir - red) / (nir + red), np.nan)
return ndvi_band
# Function to calculate SAVI
def calculate_savi(n... | dustnvan/ET_goes16 | goes_export_geotiff/export_savi_ndvi.py | export_savi_ndvi.py | py | 2,866 | python | en | code | 0 | github-code | 6 |
10389322209 | import glob
import os
from os import path as op
import cv2
import numpy as np
from torch.utils.data import DataLoader
from pathlib import Path
from PIL import Image, ImageFilter
from detection.dummy_cnn.dataset import BaseBillOnBackGroundSet
from tqdm import tqdm
from sewar.full_ref import sam as sim_measure
from iter... | KaraLandes/BachelorsProject | Repo/compare_data_similarity.py | compare_data_similarity.py | py | 8,019 | python | en | code | 0 | github-code | 6 |
23396456749 | '''
locals() 函数会以字典类型返回当前位置的全部局部变量。
对于函数, 方法, lambda 函式, 类, 以及实现了 __call__ 方法的类实例, 它都返回 True。
语法
locals() 函数语法：
locals()
参数
无
返回值
返回字典类型的局部变量
1 不要修改locals()返回的字典中的内容；改变可能不会影响解析器对局部变量的使用。
2 在函数体内调用locals()，返回的是自由变量。修改自由变量不会影响解析器对变量的使用。
3 不能在类区域内返回自由变量。
'''
def test_py(arg):
z=1
print(locals())
test_py(6) #输出... | tyutltf/Python_funs | locals函数详解.py | locals函数详解.py | py | 952 | python | zh | code | 20 | github-code | 6 |
71345155708 | #!/usr/bin/env python
import unittest
import copy
from ct.cert_analysis import base_check_test
from ct.cert_analysis import extensions
from ct.crypto.asn1 import oid
from ct.crypto.asn1 import types
from ct.crypto import cert
def remove_extension(certificate, ex_oid):
# If given extension exists in certificate, t... | kubeup/archon | vendor/github.com/google/certificate-transparency/python/ct/cert_analysis/extensions_test.py | extensions_test.py | py | 2,258 | python | en | code | 194 | github-code | 6 |
33229423614 | # For each cylinder in the scan, find its ray and depth.
# 03_c_find_cylinders
# Claus Brenner, 09 NOV 2012
from pylab import *
from lego_robot import *
# Find the derivative in scan data, ignoring invalid measurements.
def compute_derivative(scan, min_dist):
jumps = [ 0 ]
for i in xrange(1, len(scan)... | jfrascon/SLAM_AND_PATH_PLANNING_ALGORITHMS | 01-GETTING_STARTED/CODE/slam_03_c_find_cylinders_question.py | slam_03_c_find_cylinders_question.py | py | 2,747 | python | en | code | 129 | github-code | 6 |
31282202503 | # pylint: disable=missing-docstring
# pylint: disable=invalid-name
import functools
import re
# import unicodedata
from string import punctuation as PUNCTUATIONS
import numpy as np
from doors.dates import get_timestamp
SPECIAL_PUNCTUATIONS = PUNCTUATIONS.replace("_", "")
def not_is_feat(col):
return not is_fe... | chechir/doors | doors/strings.py | strings.py | py | 4,406 | python | en | code | 0 | github-code | 6 |
8963786234 | #!/usr/bin/env python3
import multiprocessing
from queue import Empty
import subprocess
import Robocode
import os, os.path
from datetime import datetime
import sys
import time
# This class knows about Robocode and the Database.
def recommendedWorkers():
cpus = multiprocessing.cpu_count()
if cp... | mojomojomojo/di-arena | lib/BattleRunner.py | BattleRunner.py | py | 4,617 | python | en | code | 0 | github-code | 6 |
34688027576 | #!/usr/bin/python
def modular_helper(base, exponent, modulus, prefactor=1):
c = 1
for k in range(exponent):
c = (c * base) % modulus
return ((prefactor % modulus) * c) % modulus
def fibN(n):
phi = (1 + 5 ** 0.5) / 2
return int(phi ** n / 5 ** 0.5 + 0.5)
# Alternate problem solutions start... | pkumar0508/project-euler | alternate_solutions.py | alternate_solutions.py | py | 4,179 | python | en | code | 0 | github-code | 6 |
40409186941 | #!/usr/bin/env python3
# unit_test/cisco/nxos/unit_test_nxos_vlan.py
our_version = 107
from ask.common.playbook import Playbook
from ask.common.log import Log
from ask.cisco.nxos.nxos_vlan import NxosVlan
ansible_module = 'nxos_vlan'
ansible_host = 'dc-101' # must be in ansible inventory
log = Log('unit_test_{}'.form... | allenrobel/ask | unit_test/cisco/nxos/unit_test_nxos_vlan.py | unit_test_nxos_vlan.py | py | 1,944 | python | en | code | 2 | github-code | 6 |
22461213731 | import xarray as xr
import numpy as np
#Este script baixa os dados do hycom para os períodos selecionados para o experimento GLBv0.08/expt_53.X
#Importante: Por conta da estruturas dos servidores OpenDAP, e preciso baixar o dado por cada passo de tempo para postriormente concaternar
#Para concatenar, selecionar os ar... | Igoratake/Hycom_Opendap | baixa_hycom_2014_frente_Pontual.py | baixa_hycom_2014_frente_Pontual.py | py | 2,248 | python | pt | code | 0 | github-code | 6 |
73789786749 | valores = [[],[]]
for n in range(0,7):
v = int(input('digite um valor: '))
if v%2==0:
valores[0].append(v)
elif v%2!=0:
valores[1].append(v)
valores[0].sort()
valores[1].sort()
print(f'os valores pares foram: {valores[0]}' )
print(f'os valores impares foram: {valores[1]}' ) | Kaue-Marin/Curso-Python | pacote dowlond/curso python/exercicio85.py | exercicio85.py | py | 302 | python | pt | code | 0 | github-code | 6 |
71971288509 | from kubeflow.fairing.cloud.docker import get_docker_secret
from kubeflow.fairing.constants import constants
import json
import os
def test_docker_secret_spec():
os.environ["DOCKER_CONFIG"] = "/tmp"
config_dir = os.environ.get('DOCKER_CONFIG')
config_file_name = 'config.json'
config_file = os.path.joi... | kubeflow/fairing | tests/unit/cloud/test_docker.py | test_docker.py | py | 578 | python | en | code | 336 | github-code | 6 |
69894822589 | from airflow import DAG
from airflow.operators.bash_operator import BashOperator
import datetime as dt
from airflow.utils.dates import days_ago
default_args = {
'owner': 'gregh',
'start_date': days_ago(0),
'email': ['myemail@gmail.com'],
'email_on_failure': True,
'email_on_retry': True,
'retri... | gregh13/Data-Engineering | Projects/Capstone Project/Task 5/Part Two - Apache Airflow ETL/process_web_log.py | process_web_log.py | py | 1,221 | python | en | code | 0 | github-code | 6 |
21354655285 | #
# @lc app=leetcode.cn id=438 lang=python3
#
# [438] 找到字符串中所有字母异位词
#
# @lc code=start
class Solution:
def findAnagrams(self, s: str, p: str) -> List[int]:
def s2vec(s):
vec = [0]*26
for c in s:
vec[ord(c)-ord('a')] += 1
return tuple(vec)
pvec = s... | Alex-Beng/ojs | FuckLeetcode/438.找到字符串中所有字母异位词.py | 438.找到字符串中所有字母异位词.py | py | 801 | python | en | code | 0 | github-code | 6 |
72056615229 | spend_data = open("env_spending_ranks.csv")
ranks = [[] for _ in range(5)]
for i, line in enumerate(spend_data):
if i == 0:
continue
else:
temp = line.strip().split(',')
for j, element in enumerate(temp):
if j % 3 == 0:
ranks[j//3].append(element)
# 0: 2011, ... | jamesryan094/us_aqi_data_wrangling | ranks_per_year.py | ranks_per_year.py | py | 1,172 | python | en | code | 1 | github-code | 6 |
20444657924 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup
import time
import csv
class Scraper:
def __init__(self, url):
self.driver = webdriver.Chrome("./chromedriver", options=self.set_chrome_options())
self.url = url
self.open_url... | RasbeeTech/Web-Scraper | scraper.py | scraper.py | py | 3,381 | python | en | code | 1 | github-code | 6 |
6606609236 | class Solution:
def searchMatrix(self, matrix: List[List[int]], target: int) -> bool:
candirow = len(matrix) - 1
for row in range(len(matrix)):
if(matrix[row][0] > target):
if(row == 0):
return False
candirow = row - 1
b... | JeongGod/Algo-study | leehyowonzero/12week/search-a-2d-matrix.py | search-a-2d-matrix.py | py | 603 | python | en | code | 7 | github-code | 6 |
19705123014 | # -*- coding: utf-8 -*-
case = 0
while True:
N, Q = [int(x) for x in input().split()]
if not Q and not N:
break
case += 1
print(f"CASE# {case}:")
marbles = []
for _ in range(N):
marbles.append(int(input()))
marbles.sort()
for i in range(Q):
fi... | caioopra/4o-Semestre-CCO | paradigmas/2-python_multiparadigma/atividade2/1025.py | 1025.py | py | 526 | python | en | code | 0 | github-code | 6 |
43216721070 | import os
import shlex
import subprocess
import numpy as np
import pandas as pd
from SentiCR.SentiCR.SentiCR import SentiCR
def clean_data(df):
df = df.copy()
# fill all rows with corresponding discussion link
df[df['discussion_link'] == ""] = np.NaN
df['discussion_link'] = df['discussion_link'].fill... | saramangialavori/AutomatingCodeReview3.0 | manual_inspection/build_oracle.py | build_oracle.py | py | 6,785 | python | en | code | 0 | github-code | 6 |
18388623624 | ## Első feladat
for i in range(1,10):
print(1/i)
## Második feladat
hatvany=int(input("Kérem a hatvány alapot:"))
kitevo=int(input("Kérem a hatvány kitevőt:"))
hatvanyertek=(hatvany**kitevo)
print(hatvanyertek)
## Harmadik feladat
while True:
szam=int(input("Kérek egy pozitív számot: "))
if szam<=0:
... | matyast/estioraimunka | feladat.py | feladat.py | py | 700 | python | hu | code | 0 | github-code | 6 |
43597436816 | # string: ordered, ____, text representation
# init
from timeit import default_timer as timer
movie_name = "The murder on the orient express"
# single quote
fav_quote = 'That\'s what she said'
# print(fav_quote)
# double quote
fav_quote = "That's what she said"
# print(fav_quote)
quote = "Where should I go? \
To th... | akshitone/fy-mca-class-work | DivB/string.py | string.py | py | 2,834 | python | en | code | 1 | github-code | 6 |
18757756190 | import argparse
import cv2
# ArgParse é usado para captar argumentos passados na chamada do .py no CMD
ap = argparse.ArgumentParser()
# Aqui definimos a label do argumento esperado
ap.add_argument("-i", "--image", required=True,
help= "Path to the image")
# Criamos um dicionário que receberá os valores... | CarlosAlfredoOliveiraDeLima/Practical-Python-and-OpenCV-Book | 01 - load_display_save.py | 01 - load_display_save.py | py | 1,041 | python | pt | code | 0 | github-code | 6 |
6118401140 | ''' Урок 2. Парсинг HTML. BeautifulSoup, MongoDB
Необходимо собрать информацию о вакансиях на вводимую должность (используем input) с сайтов Superjob(необязательно) и HH(обязательно). Приложение должно анализировать несколько страниц сайта (также вводим через input).
Получившийся список должен содержать в себе миниму... | XYI7I/GeekBrains | AI/Method_collecting_Internet_data/Lesson2/lesson2.py | lesson2.py | py | 10,254 | python | ru | code | 0 | github-code | 6 |
21998861864 | n=int(input())
arr=list(map(int,input().split()))
sof=0
sos=0
for i in range(n):
if(i<n//2):
sof+=arr[i]
else:
sos+=arr[i]
print(abs(sof-sos)) | Lavanya18901/codemind-python | difference_between_sum_of_first_half_and_second_half_in_an_array.py | difference_between_sum_of_first_half_and_second_half_in_an_array.py | py | 158 | python | en | code | 0 | github-code | 6 |
71484733948 | def is_finish(x, y):
return x == 4
l = list(range(4))
cnt = 0
a = set(range(10))
assert(len(a & set(l)) == 4)
print(*l)
cnt += 1
X, Y = map(int, input().split())
if is_finish(X, Y):
exit(0)
for i in range(4):
not_in = a - set(l)
for n in not_in:
tmpl = l[:]
tmpl[i] = n
assert(le... | knuu/competitive-programming | yukicoder/yuki355.py | yuki355.py | py | 1,137 | python | en | code | 1 | github-code | 6 |
31356164054 | import os
import argparse
import re
import textwrap
default_mpi_function_list = [
"int MPI_Init(int *argc, char ***argv)",
"int MPI_Finalize(void)",
"int MPI_Comm_rank(MPI_Comm comm, int *rank)",
"int MPI_Comm_size(MPI_Comm comm, int *size)",
"int MPI_Send(const void *buf, int count, MPI_Datatype d... | cea-hpc/selFIe | src/parse_mpi.py | parse_mpi.py | py | 9,164 | python | en | code | 16 | github-code | 6 |
18798291843 | import matplotlib.pyplot as plt
import random
import numpy as np
from IPython.display import display, clear_output
import time
def head_home(x, y):
"""
Head home down and to the left.
Parameters
----------
x : float
Horizontal coordinate.
y : float
Vertical coor... | msu-cmse-courses/cmse202-F22-data | code_samples/ant_function.py | ant_function.py | py | 4,304 | python | en | code | 1 | github-code | 6 |
14868890436 | from django.views.generic.base import TemplateView
from albums.forms import FileForm
from albums.models import Album, File
from core.decorators import view_decorator
from core.views import ResourceView
class AlbumPage(TemplateView):
template_name = "albums/main.html"
def expose(view):
view.expose = True
... | qrees/backbone-gallery | albums/views.py | views.py | py | 508 | python | en | code | 0 | github-code | 6 |
20156935479 | from flask import request
def validate_id(id):
# if not found in params
if (id is None):
raise TypeError("Request params (id) not found")
# if description params is empty
if not id:
raise ValueError("id is empty")
# if not integer
if not isinstance(id, int):
rais... | adriangohjw/cz2006-software-engineering | contracts/point_contracts.py | point_contracts.py | py | 1,360 | python | en | code | 0 | github-code | 6 |
38815716976 | import argparse
import asyncio
import csv
import functools
import gc
import hashlib
import http.client
import importlib
import io
import math
import platform
import re
import socket
import statistics
import sys
import textwrap
import time
import urllib.parse
from typing import Callable, Awaitable, Tuple, Iterable, Opti... | ska-sa/pyconza2020-httpbench | httpbench.py | httpbench.py | py | 8,026 | python | en | code | 4 | github-code | 6 |
25073375848 | import math
def f(a:float, b:float, c:float) -> float:
if a==0:
raise Exception("a no puede ser cero")
if b*b< 4*a*c:
raise Exception("Esos valores dan un resultado complejo")
try:
d=(-b + math.sqrt(b*b - 4*a*c))/(2*a)
except:
print("Hay un error")
return d
a=0
b=3
c=-3
print(f(a,b,c))
| Gohan2021/ProgAplicada | tarea_2023_0227.py | tarea_2023_0227.py | py | 313 | python | es | code | 0 | github-code | 6 |
10819469391 | import numpy as np
import argparse
import imutils
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-i","--image",required = True, help="Path of Image File")
args = vars(ap.parse_args())
#image = cv2.imread("image.png")
print("Path: ", args["image"])
image = cv2.imread(args["image"])
# find all the 'black' ... | Pallavi04/ComputerVision | FindShapes/shape.py | shape.py | py | 837 | python | en | code | 0 | github-code | 6 |
27022143594 | from pymongo import MongoClient
import pprint
from urllib.request import urlopen
from bs4 import BeautifulSoup
class Data_extraction_creation:
def __init__(self):
self.source=""
self.search=""
self.search_length=0
def getting_source(self):
#client=MongoClient("mongodb://127.0... | Harkishen-Singh/Uber-App-Record-Analysis | creating databasse copy.py | creating databasse copy.py | py | 7,444 | python | en | code | 0 | github-code | 6 |
21892483057 | #!/bin/python3
import os
import sys
#
# Complete the xorMatrix function below.
#
#define GET_BIT(x, bit) (((x)>>(bit)) & 1ULL)
def xorMatrix(m, first_row):
m = m - 1
for j in range(63, -1, -1):
if((m>>j) & 1 == 1):
intialRow = first_row.copy()
... | shady236/HackerRank-Solutions | Algorithms/XOR Matrix/XOR Matrix.py | XOR Matrix.py | py | 803 | python | en | code | 0 | github-code | 6 |
29381018111 | import copy
import tempfile
import yaml
import re
import os
import constellation.vault as vault
from constellation.util import ImageReference
def read_yaml(filename):
with open(filename, "r") as f:
dat = yaml.load(f, Loader=yaml.SafeLoader)
dat = parse_env_vars(dat)
return dat
def config_build(... | reside-ic/constellation | constellation/config.py | config.py | py | 4,914 | python | en | code | 0 | github-code | 6 |
10252651311 | from secuenciales.colaprioridad import *
from secuenciales.pila import Pila
import copy
class nodoGrafo:
def __init__(self, nodo_padre, torreA, torreB, torreC):
self.torreA = torreA
self.torreB = torreB
self.torreC = torreC
self.padre = nodo_padre
self.nivel = self.calcular... | difer19/Estructuras-de-Datos | GrafosA_Star.py | GrafosA_Star.py | py | 7,942 | python | es | code | 0 | github-code | 6 |
26040958016 | from __future__ import annotations
import logging
from dataclasses import dataclass
from pants.backend.python.subsystems.twine import TwineSubsystem
from pants.backend.python.target_types import PythonDistribution
from pants.backend.python.util_rules.pex import PexRequest, VenvPex, VenvPexProcess
from pants.core.goal... | pantsbuild/pants | src/python/pants/backend/python/goals/publish.py | publish.py | py | 7,218 | python | en | code | 2,896 | github-code | 6 |
24957977468 | #!/usr/bin/python3
'''Post the compositions in a given directory filtered or not by a basename
now one ehr per composition
'''
import json
import logging
import requests
from url_normalize import url_normalize
import sys
import argparse
import os
from typing import Any,Callable
import re
from json_tools import diff
... | crs4/TO_OPENEHR_CONVERTER | COMPOSITIONS_UPLOADER/CompositionUploader.py | CompositionUploader.py | py | 11,566 | python | en | code | 0 | github-code | 6 |
23213929420 |
"""
IMU 6-DOF
Acceleration
- imu_accel_x
- imu_accel_y
- imu_accel_z
Angular speed
- imu_gyro_x
- imu_gyro_y
- imu_gyro_z
"""
import numpy as np
from numpy.linalg import inv
from scipy.spatial.transform import Rotation as rot
"""
X: states:
- pitch
- roll
- yaw (not used)
- bias angul... | toshiharutf/Kalman_Filter_GNS_INS | ins_filter_full_state_demo.py | ins_filter_full_state_demo.py | py | 5,133 | python | en | code | 6 | github-code | 6 |
28800553771 | import os
import pytest
import pathlib
import numpy as np
import pandas as pd
from math import isclose
from cytominer_eval.operations import mp_value
from cytominer_eval.utils.mpvalue_utils import (
calculate_mp_value,
calculate_mahalanobis,
)
# Load CRISPR dataset
example_file = "SQ00014610_normalized_feat... | cytomining/cytominer-eval | cytominer_eval/tests/test_operations/test_mp_value.py | test_mp_value.py | py | 3,230 | python | en | code | 7 | github-code | 6 |
34218646786 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 6 12:31:40 2023
@author: tillappel
"""
from arc import *
from IPython.display import display, HTML
import numpy as np
import scipy.constants as sc
import matplotlib.pyplot as plt
def find_largest_c3(n,n_2, l0, j0):
largest_c3_d0 = 0
larges... | tappelnano/RydbergPTG | ARC C3_C6 calc.py | ARC C3_C6 calc.py | py | 7,589 | python | en | code | 0 | github-code | 6 |
34565307158 | from random import random, randint
from collections import deque
from math import sin, cos
MAXVAL = 200
MAXINSTR = 12
def new_random_code(length):
return [
(randint(0, MAXINSTR)) if random() > 0.5 else (randint(MAXINSTR + 1, MAXVAL))
for _ in range(length)
]
def point_mutate(code):
cod... | gwfellows/trees | grow.py | grow.py | py | 2,644 | python | en | code | 0 | github-code | 6 |
5355406850 | from odoo import models, fields, api
class StockProductionLot(models.Model):
_inherit = "stock.production.lot"
is_flower = fields.Boolean(related='product_id.is_flower', readonly=True)
water_ids = fields.One2many("flower.water", "serial_id")
@api.model_create_multi
def create(self, vals_list):
... | omar99emad/flower-shop | models/stock_production_lot.py | stock_production_lot.py | py | 1,586 | python | en | code | 0 | github-code | 6 |
74190845628 | # -*- coding: utf-8 -*-
__author__ = "ALEX-CHUN-YU (P76064538@mail.ncku.edu.tw)"
from word2vec import Word2Vec as w2v
import MySQLdb
import numpy as np
from bert_embedding import BertEmbedding
import codecs
import re
# Entity to Vector
class E2V_BERT:
# init
def __init__(self):
self.db = MySQLdb.connect(host = "127... | Alex-CHUN-YU/Recommender-System | main_embedding/e2v_bert.py | e2v_bert.py | py | 9,420 | python | en | code | 0 | github-code | 6 |
31237691124 | # 3: Создайте программу “Медицинская анкета”, где вы запросите у пользователя следующие данные: имя, фамилия, возраст и вес.
# Выведите результат согласно которому:
# Пациент в хорошем состоянии, если ему до 30 лет и вес от 50 и до 120 кг,
# Пациенту требуется заняться собой, если ему более 30 и вес меньше 50 или больш... | dreaminkv/python-basics | practical-task-1/practical-task-3.py | practical-task-3.py | py | 1,573 | python | ru | code | 0 | github-code | 6 |
36522225710 | from sys import setrecursionlimit
import threading
RECURSION_LIMIT = 10 ** 9
STACK_SIZE = 2 ** 26
setrecursionlimit(RECURSION_LIMIT)
threading.stack_size(STACK_SIZE)
def dfs(v, used, g, answer):
used[v] = 1
for u in g[v]:
if used[u] == 0:
dfs(u, used, g, answer)
answer.append(v)
de... | AverPower/Algorithms_and_Structures | 10. Graphs - 1/Task D.py | Task D.py | py | 1,435 | python | en | code | 0 | github-code | 6 |
30354475241 | import setuptools
from setuptools import Command
try:
import numpy
from numpy.distutils.command import build, install_data, build_src
from numpy.distutils.core import setup
HAS_NUMPY = True
except ImportError:
HAS_NUMPY = False
from distutils.command import build, install_data
from distutil... | enthought/mayavi | setup.py | setup.py | py | 16,576 | python | en | code | 1,177 | github-code | 6 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.