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29325722402 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
To read sequentially the data from the hard disk, the data format is convert to TFRecord.
"""
import re
from pathlib import Path
import pandas as pd
import numpy as np
import tensorflow as tf
from tqdm import tqdm
from sklearn.utils import shuffle
__d... | ichiro-takahashi/tomoe-realbogus | src/data/make_record.py | make_record.py | py | 3,756 | python | en | code | 2 | github-code | 6 |
27251363866 | """
文件名: Code/Chapter07/C02_RNNImgCla/FashionMNISTRNN.py
创建时间: 2023/4/27 8:08 下午
作 者: @空字符
公众号: @月来客栈
知 乎: @月来客栈 https://www.zhihu.com/people/the_lastest
"""
import torch
import torch.nn as nn
import sys
sys.path.append('../../')
from Chapter06.C04_LN.layer_normalization import LayerNormalization
class FashionMNIST... | moon-hotel/DeepLearningWithMe | Code/Chapter07/C02_RNNImgCla/FashionMNISTRNN.py | FashionMNISTRNN.py | py | 1,754 | python | en | code | 116 | github-code | 6 |
75282287228 | import re
import sys
def part1():
recepies = [3, 7]
a_index, b_index = 0, 1
in_data = 440231
while len(recepies) < in_data + 10:
s = recepies[a_index] + recepies[b_index]
for l in str(s):
recepies.append(int(l))
recepies_len = len(recepies)
a_index = (a_index + recepies[a_index] + 1) % recepies_le... | elitan/adventofcode | 2018/14/main.py | main.py | py | 1,209 | python | en | code | 1 | github-code | 6 |
30590549707 | import numpy as np
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont
from tqdm import tqdm
SQSIZE = 60
SPACING = 15
def make_col(start, end, n=5):
"""Create a column of numbers."""
nums = np.random.choice(np.arange(start, end+1), size=n, replace=False)
return nums
def generate_card():
... | Lewistrick/bingogenerator | bingo.py | bingo.py | py | 3,060 | python | en | code | 0 | github-code | 6 |
21884308147 | """Setting up various cosmic populations."""
from frbpoppy import CosmicPopulation
# You can set up a population with arguments ...
pop = CosmicPopulation(1e4, n_days=1, name='my_own_population', repeaters=True,
generate=False)
# ... but also adapt specific components:
# The numer density / dis... | TRASAL/frbpoppy | examples/setting_up_populations.py | setting_up_populations.py | py | 1,478 | python | en | code | 26 | github-code | 6 |
9830880946 | # -*- coding: utf-8 -*-
##
# @file __init__.py
# @brief Contain paths to information files
# @author Gabriel H Riqueti
# @email gabrielhriqueti@gmail.com
# @date 06/05/2021
#
import os
from pathlib import Path
PATH_NERNST_EQUATION_INFO = Path(os.path.abspath(__file__)).parent / 'nernst_equation.txt'
PA... | gabrielriqu3ti/biomedical_signal_processing | biomedical_signal_processing/info/__init__.py | __init__.py | py | 670 | python | en | code | 0 | github-code | 6 |
34913449577 | import numpy as np
import scipy.integrate
import scipy.optimize
import bokeh.plotting
from bokeh.plotting import figure, output_file, show
import bokeh.io
from bokeh.models import Span
def dilute(molecule_diluted,molecules_0,DR=0.2): #input Object want to dilute and where the parameters is stored
molecules_0... | william831015/GRN-in-chemostat | scripts/functions.py | functions.py | py | 3,004 | python | en | code | 0 | github-code | 6 |
4992423632 | from __future__ import annotations
import typing
from homeassistant.components.switch import (
DOMAIN as PLATFORM_SWITCH,
SwitchEntity,
)
try:
from homeassistant.components.switch import SwitchDeviceClass
DEVICE_CLASS_OUTLET = SwitchDeviceClass.OUTLET
DEVICE_CLASS_SWITCH = SwitchDeviceClass.SWITC... | ZioTitanok/HomeAssistant-Configuration | custom_components/meross_lan/switch.py | switch.py | py | 4,016 | python | en | code | 0 | github-code | 6 |
71780096828 | from colorfield.fields import ColorField
from django.core.validators import MinValueValidator, RegexValidator
from django.db import models
from users.models import User
class Ingredient(models.Model):
"""Класс интредиент"""
name = models.CharField(
verbose_name='Наименование ингредиента',
ma... | GirzhuNikolay/foodgram-project-react | backend/recipes/models.py | models.py | py | 7,583 | python | ru | code | 0 | github-code | 6 |
73811427708 | from torch.utils.data import DataLoader
from sklearn.model_selection import KFold
from .datasets import get_cifar10_datasets, get_cifar100_datasets, get_mnist_datasets, get_image_net_dataset, TruncatedDataset, MergedDataset
from .partition import partition_by_class, partition_with_dirichlet_distribution
data_path = '... | somcogo/embedding | utils/data_loader.py | data_loader.py | py | 3,860 | python | en | code | 0 | github-code | 6 |
22610043366 | from django import forms
from django.forms.models import inlineformset_factory
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Field, Fieldset, Div, HTML, Submit, Button
from hybridjango.custom_layout_object import *
from hybridjango.mixins import BootstrapFormMixin
from .models impor... | hybrida/hybridjango | apps/events/forms.py | forms.py | py | 3,382 | python | en | code | 4 | github-code | 6 |
14205447601 | #!/usr/bin/env python
# coding: utf-8
# ## Single Dimension Array
# In[1]:
import pandas as pd
import matplotlib.pyplot as plt
# In[2]:
data = [10, 23, 34, 35, 45, 59]
df = pd.DataFrame(data, columns=['Score'])
df
# In[3]:
#plt.pie(df)
plt.pie(df, labels=df['Score'])
plt.title("Students Score")
plt.show()
... | AileshC/PythonLearning | python_notebooks/MatPlotLib_Pie_Demo.py | MatPlotLib_Pie_Demo.py | py | 1,233 | python | en | code | 1 | github-code | 6 |
38116639709 | print("'0' for exit")
#take ch input from the user
ch = input('ch: ')
if (ch == '0'):
exit()
elif ch.isnumeric():
print('digit')
elif ch.isalpha():
print('alphabet')
else:
print('neither alphabet nor digit') | 3Sangeetha3/python | if_elif_else.py | if_elif_else.py | py | 224 | python | en | code | 1 | github-code | 6 |
6629686746 | import tensorflow as tf
from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession
#Configure GPU
config = ConfigProto()
config.gpu_options.allow_growth = True
session = InteractiveSession(config=config)
for gpu in tf.config.experimental.list_physical_devices('GPU'):
tf.confi... | jfgf11/ml_genn_examples_ssh | Sequential API/mobilenetv1.py | mobilenetv1.py | py | 7,524 | python | en | code | 0 | github-code | 6 |
43095956138 | import plugins
import sys
import data
import model
plugins.load_all('config.json')
target = sys.argv[1]
start_node = model.Node('person', target)
d = data.Storage(target)
d.add_node(start_node)
def handle(tokens):
if tokens[0].lower() == 'list':
# show list of nodes
if len(tokens) > 1:
... | tracer-sec/osint | console.py | console.py | py | 2,022 | python | en | code | 8 | github-code | 6 |
39540715020 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 15 2021
@author: sagrana
"""
from rest_framework import status
from rest_framework.generics import CreateAPIView, RetrieveAPIView
from rest_framework.response import Response
from rest_framework.permissions import AllowAny
from .models import User
fr... | theRuthless/stark_ly3000_web_app | backend/users/views.py | views.py | py | 1,740 | python | en | code | 0 | github-code | 6 |
35007798704 | from src.main.python.Solution import Solution
# Given an array S of n integers, are there elements a, b, c in S such that a + b + c = 0?
# Find all unique triplets in the array which gives the sum of zero.
#
# Note:
# Elements in a triplet (a,b,c) must be in non-descending order. (ie, a ≤ b ≤ c)
# The solution set... | renkeji/leetcode | python/src/main/python/Q015.py | Q015.py | py | 1,482 | python | en | code | 0 | github-code | 6 |
27811540343 | """
쳅터: day 5
주제: 재귀함수(recursion)
자기 자신을 호출하는 함수
문제:
A. 팩토리얼 계산 함수 fact를 재귀한수로 정의하여, fact(5)를 호출한 결과를 출력하라
작성자: 윤경환
작성일: 18 10 10
"""
def fact(a): #팩토리얼
if a == 1: #a가 1일때
return a #a반환
else: #아닐때
return a*fact(a-1) #재귀함수 사용
print(fact(5)) #출력 | younkyounghwan/python_class | lab5_13.py | lab5_13.py | py | 427 | python | ko | code | 0 | github-code | 6 |
70264789629 | import django, os
from django.core.management import call_command
from dotenv import load_dotenv
def init_db():
"""Method to initialize the database with sample data"""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'FriendsLessonsSystem.settings')
load_dotenv()
django.setup()
from FriendsLesson... | ValentinGiorgetti/Desafio-Backend | FriendsLessonsSystem/init_db.py | init_db.py | py | 1,830 | python | en | code | 0 | github-code | 6 |
14254446016 | from __future__ import absolute_import, division, print_function, unicode_literals
from _GTW import GTW
from _TFL._Meta.Once_Property import Once_Property
import _GTW._RST._TOP._elFinder
class Error (Exception) :
"""elFinder error message"""
def __init__ (self, code, data = N... | xiaochang91/tapyr | _GTW/_RST/_TOP/_elFinder/Error.py | Error.py | py | 689 | python | en | code | 0 | github-code | 6 |
2415322860 | import gtk
import gobject
from tryton.gui.window.view_form.view.form import ViewForm
from tryton.gui.window.view_form.view.form_gtk.widget import Widget
from tryton.gui.window.view_form.screen import Screen
from tryton.common.selection import SelectionMixin
from tryton.common.treeviewcontrol import MOVEMENT_KEYS
def... | PierreCookie/tryton_pre_mono | tryton/plugins/many2many_selection.py | many2many_selection.py | py | 3,934 | python | en | code | null | github-code | 6 |
2825738960 | # https://www.codewars.com/kata/51c8e37cee245da6b40000bd/train/python
# Complete the solution so that it strips all text that follows any of a set of comment markers passed in. Any whitespace at the end of the line should also be stripped out.
# Example:
# Given an input string of:
# apples, pears # and bananas
# g... | Tadiuz/PythonPrograms | PP/CodeWars/Strip_Comment.py | Strip_Comment.py | py | 998 | python | en | code | 0 | github-code | 6 |
7930998505 | import numpy as np
import matplotlib.pyplot as plt
# seulement deux etats
def epidemie_1(temps = 50, population = 10**6):
propagation = np.array( [[0.9 , 0.1], [0.3, 0.7]]) # 0 -> infecte, 1 -> sain
popu = np.array([0, 1])
X_temps = np.linspace(0, temps, temps)
Y_infectes = []
for t in range(tem... | kmlst/TIPE-Coding-regions-in-DNA-with-Hidden-Markov-Model | tipe_code.py | tipe_code.py | py | 10,617 | python | en | code | 0 | github-code | 6 |
6043134873 | import logging
import certifi
import random, string
from elasticsearch import Elasticsearch
from flask import Flask, render_template, request, redirect, url_for, flash
from datetime import datetime
from quiz import quiz
app = Flask(__name__)
app.secret_key = 'dfuy48yerhfjdbsklueio'
es = Elasticsearch(
['https://h... | mcascallares/esquiz | main.py | main.py | py | 2,109 | python | en | code | 1 | github-code | 6 |
910310900 | import os, sys
from glob import glob
__all__ = ['context', 'Context']
class Context(object):
'''Finds out where the data directory is located etc.
The data directory contains data files with standard basis sets and
pseudo potentials.
'''
def __init__(self):
# Determine data direct... | theochem/horton | horton/context.py | context.py | py | 1,945 | python | en | code | 83 | github-code | 6 |
26538766731 | from backend.common.exceptions.common import RuleValidationException, ParameterException
from backend.common.exceptions.mquery import MqueryException
from backend.helpers.async_elastic_helper import AsyncElasticHelper
from backend.helpers.mquery_helper import MqueryHelper
from backend.helpers.yara_helper import YaraHel... | CorraMatte/malstream | backend/facades/yara_retrohunt_facade.py | yara_retrohunt_facade.py | py | 2,715 | python | en | code | 3 | github-code | 6 |
16421467025 | # Test the models with LG_chem stock
# If the prediction is success, Expand the number of stock
import math
import os
import pdb
from datetime import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tqdm import tqdm
import torch
import torch.nn as nn
from torch.utils.data import D... | groundwater98/Miraeasset_Bigdata_Festival | ML/Prediction/predict.py | predict.py | py | 13,225 | python | en | code | 1 | github-code | 6 |
28031383283 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import rospy
import cv2
import cv_bridge
import sensor_msgs.msg
import argparse
import numpy as np
class image_converter:
def __init__(self, input_topic, output_topic):
self.image_pub = rospy.Publisher(
output_topic, sensor_msgs.msg.Im... | kargenk/image_converter | image_converter.py | image_converter.py | py | 1,762 | python | en | code | 0 | github-code | 6 |
9842073923 | import redneuronal
import random
import time
import statistics
class RedNeuronalGA:
def __init__(self, size, config:list, inputsize, mut_rate = 0.01, lastbest_rate = 0.5, tour_size = 10):
'''
:param size:
:param n_genes:
:param config: lista que indica [numero de layers, [numero ... | plt1994/cc5114ne | genalg.py | genalg.py | py | 4,234 | python | en | code | 0 | github-code | 6 |
72873485629 | import fileinput;
import os;
path = "E:\pythonProjects\Simple Examples\phpFiles";
data = os.listdir(path);
i=0;
wordtofind = input("Enter Word To Find");
wordtoreplace = input("Enter Word To Replace");
def manipulate(param):
rfile = open(param).read()
if rfile.__contains__(wordtofind):
rfile = rfile.... | ebuddiess/pythonTheSnake | Simple Examples/ContentRenamer.py | ContentRenamer.py | py | 527 | python | en | code | 0 | github-code | 6 |
44713652316 | import sys
import xmltodict
color_names = {
'Foreground Color': 'ForegroundColour',
'Background Color': 'BackgroundColour',
'Cursor Text Color': 'CursorColour',
'Ansi 0 Color': 'Black',
'Ansi 1 Color': 'Red',
'Ansi 2 Color': 'Green',
'Ansi 3 Co... | arcadecoffee/iterm-to-mintty | iterm-to-mintty.py | iterm-to-mintty.py | py | 1,706 | python | en | code | 0 | github-code | 6 |
25008840061 | from osv import fields, osv
import ir
class partner_wh_rebate(osv.osv):
_name = "res.partner"
_inherit = "res.partner"
_columns = {
'rebate': fields.float('Rebate (%)', digits=(5, 2)),
}
partner_wh_rebate()
class sale_order_rebate(osv.osv):
_name = "sale.order"
_inherit = "sale.order"
... | factorlibre/openerp-extra-6.1 | sale_rebate/sale.py | sale.py | py | 7,924 | python | en | code | 9 | github-code | 6 |
33967529914 | # -*- coding: utf-8 -*-
# ！/usr/bin/env python
# @Time :2020/7/7 15:39
# @Author :Sheng Chen
# @Email :sheng.chen@inossem.com
import sys
sys.path.append(r'/home/chensheng/likou')
from typing import List, Tuple
class Solution:
rows = [{} for i in range(9)]
columns = [{} for i in range(9)]
boxes = [{} fo... | fqlovetu/likou_python | 37解数独/solution1.py | solution1.py | py | 2,979 | python | en | code | 0 | github-code | 6 |
22959918169 | #escreva um programa que leia um número inteiro e peça para o usuário escolher qual será a BASE DE CONVERSÃO:
# 1-> para binário; 2-> para octal & 3-> para hexadecimal
import math
print('\n\t Base de Conversão!')
num = int(input('\n Informe um número => '))
numConv = str(input(' Informe: \033[1;33m1 - binário, 2... | eduardabenevenutti77/curso_em_video.py | mundo2 - python/if_else/BaseConversao.py | BaseConversao.py | py | 891 | python | pt | code | 0 | github-code | 6 |
1293789301 | import numpy as np
import onnx
from tests.tools import expect
class Sqrt:
@staticmethod
def export(): # type: () -> None
node = onnx.helper.make_node(
'Sqrt',
inputs=['x'],
outputs=['y'],
)
x = np.array([1, 4, 9]).astype(np.float32)
y = np... | gglin001/onnx-jax | tests/node/test_sqrt.py | test_sqrt.py | py | 632 | python | en | code | 7 | github-code | 6 |
70005437309 | from __future__ import with_statement
from fabric.api import *
import os, glob, socket
import fabric.contrib.project as project
PROD = 'spreadwebm.org'
PROD_PATH = 'domains/spreadwebm.com/web/public/'
ROOT_PATH = os.path.abspath(os.path.dirname(__file__))
DEPLOY_PATH = os.path.join(ROOT_PATH, 'deploy')
def clean():
... | louquillio/spreadwebm.com | fabfile.py | fabfile.py | py | 1,127 | python | en | code | 1 | github-code | 6 |
19617294623 | # _*_ coding: utf-8 _*_
import os
import csv
import time
import json
import logging
import numpy as np
import tensorflow as tf
from sklearn.metrics import auc, roc_curve
# calculate_auc : calculate AUC rate
def calculate_auc(labels, predicts):
fpr, tpr, _ = roc_curve(labels, predicts, pos_label=1)
AUC = auc(f... | wangcong15/go-clone | Go-CloneF/src/tfrecord2test.py | tfrecord2test.py | py | 15,894 | python | en | code | 5 | github-code | 6 |
27214868635 | from enum import IntEnum, auto
from typing import List, Mapping, Union, Tuple, Optional
from .aetg import AETGGenerator
from .matrix import MatrixGenerator
from ...model import int_enum_loads
from ...reflection import progressive_for
__all__ = ['tmatrix']
@int_enum_loads(enable_int=False, name_preprocess=str.upper)... | HansBug/hbutils | hbutils/testing/generator/func.py | func.py | py | 3,442 | python | en | code | 7 | github-code | 6 |
26113055515 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "28/06/2018"
import logging
import numpy
import weakref
import functools
from typing import Optional
from ....utils.weakref import WeakList
from ... import qt
from .. import items
from ..items import core
from ...colors import rgba
logger = logging.getLog... | silx-kit/silx | src/silx/gui/plot/items/_roi_base.py | _roi_base.py | py | 27,769 | python | en | code | 106 | github-code | 6 |
28765664515 | from async_scrape import Scrape
import requests
import json
from selenium.webdriver import Edge
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
url = "https://order.marstons.co.uk/"
base_dir = "C:/Us... | cia05rf/marstons | webscrape/scrape.py | scrape.py | py | 1,223 | python | en | code | 0 | github-code | 6 |
7090155614 | import random
def limiter(count, num):
while count != 0:
try:
guess = int(input('Guess a number: '))
count -= 1
if guess == (random.randint(1, num)):
print('YOU GOT IT RIGHT!')
break
else:
print("\n That was Wr... | jan-far/Guessing_game | task3.py | task3.py | py | 1,395 | python | en | code | 0 | github-code | 6 |
70501561789 | from django.conf.urls import patterns, include, url
urlpatterns = patterns('django_sprinkler',
url(r"^get_context/?", "views.get_context", name="get_context"),
url(r"^logs/?", "views.watering_logs", name="watering_logs"),
url(r"^toggle_valve/(\d+)?/?", "views.toggle_valve", name="toggle_valve"),
url(r"... | jpardobl/django_sprinkler | django_sprinkler/urls.py | urls.py | py | 517 | python | en | code | 0 | github-code | 6 |
44364885746 | '''
3. (fatores) Programa que lê um número inteiro positivo n e determina a sua decomposição
em fatores primos calculando também a multiplicidade de cada fator.
'''
def main():
n = int(input("Digite um numero (>1): "))
fator = 2 # primeiro fator
while n != 1:
# conta a multiplicidade de fator em... | danilosheen/topicos-especiais | q3.py | q3.py | py | 681 | python | pt | code | 0 | github-code | 6 |
72777565307 | # Plotting solution of x''(t) + x(t) = 0 equation
import numpy as np
import matplotlib.pyplot as plt
import os
from io import StringIO
import pandas as pd
from find_solution import find_solution
from plot_utils import create_dir
def plot_solution(plot_dir, t_end, delta_t):
data = find_solution(t_end=t_end, delta_... | evgenyneu/ASP3162 | 03_second_order_ode/plotting/plot_solution.py | plot_solution.py | py | 1,130 | python | en | code | 1 | github-code | 6 |
28382656931 | import cgi
import sys
import io
import genshin.database.operation as gdo
form = cgi.FieldStorage()
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
template = """
<html>
<head>
<meta charset="utf-8">
<script type="text/javascript">
location.replace('/cgi-bin/characters.py?dname={name... | waigoma/genshin-charatraining-supporter | src/cgi-bin/character_delete.py | character_delete.py | py | 628 | python | en | code | 0 | github-code | 6 |
17717247977 | import image
def photo_to_bw(filename):
img=image.Image(filename)
win=image.ImageWin(img.getWidth(),img.getHeight())
img.draw(win)
img.setDelay(0)
for row in range(img.getHeight()):
for col in range(img.getWidth()):
p=img.getPixel(col,row)
newvalue=(p.getRed()+p.getG... | tim24jones/thinkcspy | Chap_8/09_photo_to_bw.py | 09_photo_to_bw.py | py | 627 | python | en | code | 5 | github-code | 6 |
8331488278 | #!/usr/bin/env python
# two functions "dir" and "help" when exploring modules in python.
import urllib
# function are implemented in each module by using dir function.
dir(urllib)
# read about module more using help function.
help(urllib.urlopen)
import re
find_members = []
for member in dir(re):
if "find" ... | igei-yh/learning-python | basic_modules.py | basic_modules.py | py | 397 | python | en | code | 0 | github-code | 6 |
21944300528 | # -*- coding: utf-8 -*-
"""
Created on Mon May 7 23:31:33 2018
@author: liguo
异常数据分析
"""
from __future__ import print_function
from nets import nets_factory
from preprocessing import vgg_preprocessing
import sys
sys.path.append('../../tensorflow/models/slim/') # add slim to PYTHONPATH
import tensorflow as tf
impor... | wlkdb/dogs_vs_cats | transfer_learning/analysis_outliers.py | analysis_outliers.py | py | 5,865 | python | en | code | 10 | github-code | 6 |
30804272942 | #Exercise 1: Cats
#Instantiate three Cat objects using the code provided above.
#Outside of the class, create a function that finds the oldest cat and returns the cat.
#Print the following string: “The oldest cat is <cat_name>, and is <cat_age> years old.”. Use the function previously created.
class Cat:
def ... | nadinebabenko/python1 | week20/day2/XP.py | XP.py | py | 4,157 | python | en | code | 0 | github-code | 6 |
25004993355 | from typing import cast, Any
from aea.skills.behaviours import TickerBehaviour
from aea.helpers.search.models import Constraint, ConstraintType, Query
from packages.fetchai.protocols.oef_search.message import OefSearchMessage
from packages.fetchai.skills.tac_control.dialogues import (
OefSearchDialogues,
)
from... | DENE-dev/dene-dev | RQ1-data/exp2/1010-OCzarnecki@gdp8-e6988c211a76ac3a2736d49d00f0a6de8b44c3b0/agent_aea/skills/agent_action_each_turn/behaviours.py | behaviours.py | py | 3,601 | python | en | code | 0 | github-code | 6 |
31111183004 | def getMoneySpent(keyboards, drives, b):
budget_arr = []
for keyboard in keyboards:
if keyboards == b:
continue
for drive in drives:
if drive == b:
continue
if (keyboard + drive) <= b:
budget_arr.append(keyboard + drive)
if ... | spl99615/hackerrank | electronic_shop.py | electronic_shop.py | py | 488 | python | en | code | 0 | github-code | 6 |
26470849611 | """ Problem 34: Digit Factorials
https://projecteuler.net/problem=34
Goal: Find the sum of all numbers less than N that divide the sum of the factorial
of their digits (& therefore have minimum 2 digits).
Constraints: 10 <= N <= 1e5
Factorion: A natural number that equals the sum of the factorials of its digits.
Th... | bog-walk/project-euler-python | solution/batch3/problem34.py | problem34.py | py | 1,839 | python | en | code | 0 | github-code | 6 |
2282915747 | import torch
from torch import Tensor
from kornia.utils import one_hot
import torch.nn.functional as F
import numpy as np
from matplotlib import pyplot as plt
def reg_loss(prediction, ED, ES, device):
# print(prediction)
prediction_toSyn = prediction.squeeze().detach().cpu().numpy()
y_k = synthetic_label(p... | carlesgarciac/regression | regression-cmr/utils/reg_loss.py | reg_loss.py | py | 1,707 | python | en | code | 0 | github-code | 6 |
26023685530 | import numpy as np
import numpy as np
import matplotlib.pyplot as plt
from fealpy.mesh.uniform_mesh_2d import UniformMesh2d
from scipy.sparse.linalg import spsolve
#from ..decorator import cartesian
class MembraneOscillationPDEData: # 点击这里可以查看 FEALPy 中的代码
def __init__(self, D=[0, 1, 0, 1], T=[0, 5]):
"""... | suanhaitech/pythonstudy2023 | Mia_wave/wace_2.py | wace_2.py | py | 5,381 | python | en | code | 2 | github-code | 6 |
7298829560 | import matplotlib.pyplot as plt
from astropy.io import fits
from astropy.visualization import make_lupton_rgb
from matplotlib.colors import LogNorm
from astropy.wcs import WCS
import numpy as np
db_open = [fits.open('frame-g-006793-1-0130.fits'),
fits.open('frame-i-006793-1-0130.fits'),
fits.ope... | ViniBilck/Astro-Vinicius | Cubos/Codes/Galaxy - 1/Galaxy1.py | Galaxy1.py | py | 2,530 | python | en | code | 0 | github-code | 6 |
26606119063 | #!/usr/bin/env python
# coding: utf-8
# # Import Library
# In[387]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from glob import glob
from sklearn.metrics import mean_absolute_error
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import L... | tamerelateeq/Titanc | titank.py | titank.py | py | 8,173 | python | en | code | 0 | github-code | 6 |
14469263973 | '''
You are given an integer n. There is an undirected graph with n nodes, numbered from 0 to n - 1. You are given a 2D integer array edges where edges[i] = [ai, bi] denotes that there exists an undirected edge connecting nodes ai and bi.
Return the number of pairs of different nodes that are unreachable from each oth... | loganyu/leetcode | problems/2316_count_unreachable_pairs_of_nodes_in_an_undirected_graph.py | 2316_count_unreachable_pairs_of_nodes_in_an_undirected_graph.py | py | 1,707 | python | en | code | 0 | github-code | 6 |
11467832022 | #Vertex class
class Vertex:
def __init__(self, key):
self.id = key
self.connected_to = {}
#Add neighbors
def add_neighbor(self, nbr, weight=0):
self.connected_to[nbr] = weight
#return all keys in connected to dict
def get_connections(self):
self.connecte... | sarahovey/AnalysisOfAlgos | hw5/hw5.py | hw5.py | py | 6,759 | python | en | code | 0 | github-code | 6 |
73551642109 | import random
class Rsa:
def __init__(self, q=19, p=23, size_of_key=0):
self.q = q
self.p = p
if size_of_key:
self.q = self.gen_prime(size_of_key)
self.p = self.gen_prime(size_of_key)
while self.p == self.q :
self.p = self.gen_prime(size... | Ibrahim-AbuShara/End-to-End-Encryption | RSA.py | RSA.py | py | 5,861 | python | en | code | 1 | github-code | 6 |
10775113939 | import re
import os
from collections import Counter, defaultdict, namedtuple
from itertools import combinations, product
from pprint import pprint
from parse import parse, findall
from math import prod, sqrt
dirname = os.path.dirname(__file__)
data = open(f'{dirname}/21-input.txt').read().splitlines()
data = [parse('{}... | knjmooney/Advent-Of-Code | 2020/21-allergens.py | 21-allergens.py | py | 1,513 | python | en | code | 0 | github-code | 6 |
37111986575 | #얘는 계속 실행이 되어야 해서, jupyter notebook에서는 안된다.
#이걸 하는 목적 : dialog flow로부터 데이터를 받아, 여기서 처리한 후 다시 dialog flow로 반환
#그걸 위해서는 json으로 리턴해야 한다.
import requests
import urllib
import IPython.display as ipd
import json
from bs4 import BeautifulSoup
from flask import Flask, request, jsonify
def getWeather(city) :
url = "ht... | ssh6189/2020.02.05 | server.py | server.py | py | 3,365 | python | ko | code | 0 | github-code | 6 |
38169404173 | from . import parse as parser
from modules import YaraRules, GeoIP, ProjectHoneyPot, LangDetect
class Scanner:
def __init__(self):
self.yara_manager = YaraRules.YaraManager()
def parse_email(self, email_content: str):
return parser.parse_email(email_content)
def scan(self, email: str):
# parse it
... | lukasolsen/EmailAnalyser | server/base/service/scan.py | scan.py | py | 2,296 | python | en | code | 0 | github-code | 6 |
2247235592 | testname = 'TestCase 4.1.1'
avoiderror(testname)
printTimer(testname, 'Start', '测试AC通过配置二层vlan发现列表发现AP')
################################################################################
# Step 1
#
# 操作
# AC1上面创建vlan20，将端口s1p1划入vlan20。
# AC1上面将vlan20加入到自动发现的vlan列表。
# AC1(config-wireless)#discovery vlan-list 20
# S3上面将s... | guotaosun/waffirm | autoTests/waffirm/waffirm_4.1.1_ONE.py | waffirm_4.1.1_ONE.py | py | 5,708 | python | en | code | 0 | github-code | 6 |
73789788989 | maior = 0
from random import randint
import time
from operator import itemgetter
dados = {'j1': randint(1,6), 'j2': randint(1,6), 'j3': randint(1,6),
'j4': randint(1,6), 'j5': randint(1,6) }
for d,i in dados.items():
time.sleep(1)
print(f'joogador {d} tirou o numero {i}')
ranking = dict()
ranking = sorted(dados... | Kaue-Marin/Curso-Python | pacote dowlond/curso python/exercicio91.py | exercicio91.py | py | 419 | python | en | code | 0 | github-code | 6 |
35574468725 | from collections import defaultdict
def createGraph():
g=defaultdict(list)
return g
def topoSort(g,indeg,q,cnt,n,res):
for i in range(n):
if indeg[i] is 0:
q.append(i)
while(q):
cur=q.pop(0)
for i in g[cur]:
indeg[i]-=1
if(indeg... | goyalgaurav64/Graph | topological-sort-kahns-algo-bfs.py | topological-sort-kahns-algo-bfs.py | py | 868 | python | en | code | 1 | github-code | 6 |
27643482594 | from rest_framework.decorators import api_view
from rest_framework.response import Response
from base.serializers import ProductSerializer, UserSerializer, UserSerializerWithToken
from base.models import Product
@api_view(['GET'])
def getProducts(request):
query = request.query_params.get('keyword')
if query... | hitrocs-polito/smart-bozor | base/views/product_views.py | product_views.py | py | 917 | python | en | code | 0 | github-code | 6 |
15551870726 | '''
Given an array of n integers nums, a 132 pattern is a subsequence of three integers nums[i], nums[j] and nums[k] such that i < j < k and nums[i] < nums[k] < nums[j].
Return true if there is a 132 pattern in nums, otherwise, return false.
Example 1:
Input: nums = [1,2,3,4]
Output: false
Explanation: There is no 13... | ojhaanshu87/LeetCode | 456_132_pattern.py | 456_132_pattern.py | py | 1,155 | python | en | code | 1 | github-code | 6 |
1149669859 | from lib.contents_reader import ContentsReader
import asyncio
CLEAR_SCREEN = "\u001b[2J"
NEW_LINE = "\r\n"
class ZineFunctions:
def __init__(self, reader, writer, index_file_path):
self.reader = reader
self.writer = writer
self.contents_reader = ContentsReader(index_file_path)
asy... | caraesten/dial_a_zine | dialazine/lib/zine_functions.py | zine_functions.py | py | 2,161 | python | en | code | 58 | github-code | 6 |
39253810380 | from mangaki.models import Artist, Manga, Genre
from django.db.utils import IntegrityError, DataError
import re
from collections import Counter
def run():
with open('../data/manga-news/manga.csv') as f:
next(f)
artists = {}
hipsters = Counter()
for i, line in enumerate(f):
... | mangaki/mangaki | mangaki/tools/add_manga.py | add_manga.py | py | 2,689 | python | en | code | 137 | github-code | 6 |
19107028474 | """Extract data on near-Earth objects and close approaches from CSV and JSON files.
The `load_neos` function extracts NEO data from a CSV file, formatted as
described in the project instructions, into a collection of `NearEarthObject`s.
The `load_approaches` function extracts close approach data from a JSON file,
for... | rcmadden/Near-Earth-Objects | extract.py | extract.py | py | 2,061 | python | en | code | 0 | github-code | 6 |
12639173645 | """
Escribe un programa que calcule las ganancias mensuales de un profesional, correspondientes a 20 días
de trabajo, teniendo en cuenta:
a. Debe ingresar el monto total por prestación realizada.
b. El programa debe descontar el 10,5% correspondiente a impuestos.
c. El programa debe mostrar por pantalla el importe brut... | sbelbey/pp-python | Ejercicios_21_al_30/ejercicio30.py | ejercicio30.py | py | 1,220 | python | es | code | 0 | github-code | 6 |
36060029870 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
class LocalizationNetwork(nn.Module):
def __init__(self, numOfControlPoints=10):
super().__init__()
self.numOfControlPoints = numOfControlPoi... | xpiste05/knn_projekt | models/localizationNetwork.py | localizationNetwork.py | py | 1,925 | python | en | code | 0 | github-code | 6 |
72493111869 | import vk_api
from vk_api.keyboard import VkKeyboard, VkKeyboardColor
main = VkKeyboard(one_time=True)
main.add_button('Создать жалобу на бандита/лидера☢', color=VkKeyboardColor.PRIMARY)
main.add_button('Создать жалобу на лидера☣', color=VkKeyboardColor.POSITIVE)
main.add_line() # создание новой строки
main.ad... | Qerkdb/forum-bot | keyboards.py | keyboards.py | py | 786 | python | ru | code | 0 | github-code | 6 |
13879817833 | N, K = map(int, input().split())
x = 0
count = 0
if N % K == 0 : # 바로 나뉠 때
while(N != 1) :
count += 1
N = N / K
elif N % K != 0 : # 바로 안 나뉠 때
x = N % K # 뺄 값들
count += x
N = N - x
while(N != 1) :
count += 1
N = N / K
print(count)
result = 0
# 처음... | codusl100/algorithm | 백준/그리디/1이 될 때까지.py | 1이 될 때까지.py | py | 1,147 | python | ko | code | 0 | github-code | 6 |
13461358632 | """
A binary watch has 4 LEDs on the top which represent the hours (0-11), and the 6 LEDs on the bottom represent the minutes (0-59).
Each LED represents a zero or one, with the least significant bit on the right.
Given a non-negative integer n which represents the number of LEDs that are currently on, return al... | szhongren/leetcode | 401/main.py | main.py | py | 1,182 | python | en | code | 0 | github-code | 6 |
38726912007 | from __future__ import unicode_literals
import shutil
import os
HOME = os.path.join('pyupdater', 'vendor')
junitxml = os.path.join(HOME, 'PyInstaller', 'lib', 'junitxml', 'tests')
unittest2 = os.path.join(HOME, 'PyInstaller', 'lib', 'unittest2')
items_to_remove = [junitxml, unittest2]
def remove(x):
if os.path... | timeyyy/PyUpdater | dev/fix_vendor.py | fix_vendor.py | py | 525 | python | en | code | 7 | github-code | 6 |
14988584675 | from setuptools import setup
package_name = 'leg_controller'
setup(
name=package_name,
version='0.0.0',
packages=[package_name],
data_files=[
('share/ament_index/resource_index/packages',
['resource/' + package_name]),
('share/' + package_name, ['package.xml']),
],
... | PetriJF/Hexapod | src/leg_controller/setup.py | setup.py | py | 813 | python | en | code | 2 | github-code | 6 |
29157516812 | #!/usr/bin/env python3
import asyncio
from mavsdk import System
from mavsdk.gimbal import GimbalMode, ControlMode
async def run():
# Init the drone
drone = System()
await drone.connect(system_address="udp://:14540")
# Start printing gimbal position updates
print_gimbal_position_task = \
... | mavlink/MAVSDK-Python | examples/gimbal.py | gimbal.py | py | 2,709 | python | en | code | 246 | github-code | 6 |
31973217705 | """filename and file size in file model
Revision ID: 6d23296b922b
Revises: 6ec29c8de008
Create Date: 2023-03-02 17:47:25.025321
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '6d23296b922b'
down_revision = '6ec29c8de008'
branch_labels = None
depends_on = None
... | synzr/file-transfer-service | migrations/versions/6d23296b922b_filename_and_file_size_in_file_model.py | 6d23296b922b_filename_and_file_size_in_file_model.py | py | 952 | python | en | code | 0 | github-code | 6 |
70943710908 | from pytsbe.main import TimeSeriesLauncher
def multivariate_launch_example():
"""
Example how to launch benchmark with several libraries with different
parameters for multivariate time series forecasting
For more detailed info check documentation or docstring descriptions in classes below.
Import... | ITMO-NSS-team/pytsbe | examples/multivariate_module_launch.py | multivariate_module_launch.py | py | 1,037 | python | en | code | 30 | github-code | 6 |
32841420589 | import pandas as pd
import numpy as np
import pickle as pkl
import matplotlib.pyplot as plt
import re
import jieba
import subprocess
from gensim.test.utils import get_tmpfile, common_texts
from gensim.models import Word2Vec, KeyedVectors
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.manifold impo... | kartd0094775/IdentifyKOL | util/preprocessing.py | preprocessing.py | py | 1,846 | python | en | code | 0 | github-code | 6 |
32149840487 | # Upload BOJ silver-1 Brute-force 2615번 오목
# 참고 블로그 : https://velog.io/@hygge/Python-%EB%B0%B1%EC%A4%80-2615-%EC%98%A4%EB%AA%A9-Brute-Force
import sys
board = [list(map(int,input().split())) for _ in range(19)]
visited = [[0 for _ in range(19)] for _ in range(19)]
win = 0
ways = [[0,1],[1,0],[1,1],[-1,1]]
answer... | HS980924/Algorithm | src/2.BruteForce/B#2615_오목.py | B#2615_오목.py | py | 1,378 | python | en | code | 2 | github-code | 6 |
21160883826 | import os
import math
import torch
import pytorch_lightning as pl
import torch.nn.functional as F
import torch.nn as nn
from numpy import sqrt, argmax
from torch.optim import lr_scheduler
from .model import CNN
import numpy as np
import pandas as pd
from sklearn.metrics import roc_curve, confusion_matrix, roc_auc_sco... | Junkkkk/ovarian_cancer_detection | models/lightning_model.py | lightning_model.py | py | 12,263 | python | en | code | 1 | github-code | 6 |
73019628988 | # Bot information
SESSION = 'Media_search'
USER_SESSION = 'User_Bot'
API_ID = 12345
API_HASH = '0123456789abcdef0123456789abcdef'
BOT_TOKEN = '123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11'
USERBOT_STRING_SESSION = ''
# Bot settings
CACHE_TIME = 300
USE_CAPTION_FILTER = False
# Admins, Channels & Users
ADMINS = [12345789... | Mahesh0253/Media-Search-bot | sample_info.py | sample_info.py | py | 1,000 | python | en | code | 514 | github-code | 6 |
7705288630 | import json
import torch
from transformers import GPT2Tokenizer
from transformers import GPT2DoubleHeadsModel
from MTDNN import MTDNN
from tqdm import trange, tqdm
from keras_preprocessing import sequence
import pandas as pd
import Utils
import pickle
import os
from torch.utils.data import TensorDataset, Dat... | anandhperumal/ANA-at-SemEval-2020-Task-4-UNION | MTD-NCH.py | MTD-NCH.py | py | 19,668 | python | en | code | 5 | github-code | 6 |
18164640711 | import pickle
import nltk
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
# Download NLTK data (you only need to do this once)
nltk.download('stopwords')
nltk.download('wordnet')
# Load the trained model and vectorizer
with open('check_spam_classifier.pkl', 'rb') as clf_file:
... | GOVINDFROMINDIA/Twitter-Scam-Victims | dsg.py | dsg.py | py | 1,596 | python | en | code | 0 | github-code | 6 |
41794735960 | import datetime
import unittest
from pyspark import SparkConf
from pyspark.sql import SparkSession
import pyspark.sql.functions as f
from pyspark.sql.types import StructType, StructField, IntegerType, StringType, MapType, ArrayType
import json
import csv
from src.transformations import add_columns, running_total, gro... | SA01/spark-unittest-tutorial | tests/test_transformations.py | test_transformations.py | py | 13,745 | python | en | code | 0 | github-code | 6 |
23210233427 | import pandas as pd
from morpheus import SequentialComposition, ParallelComposition
from morpheus.algo.selection import base_selection_algorithm, random_selection_algorithm
from morpheus.utils.encoding import *
from morpheus.utils import debug_print
from sklearn.datasets import make_classification
from sklearn.model_... | eliavw/morpheus | src/morpheus/tests/basics.py | basics.py | py | 7,311 | python | en | code | 0 | github-code | 6 |
39729133373 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0010_auto_20151113_1608'),
]
operations = [
migrations.AddField(
model_name='review',
name=... | midnitehighways/shop | store/migrations/0011_review_author.py | 0011_review_author.py | py | 420 | python | en | code | 0 | github-code | 6 |
36867613594 | from datetime import datetime
from sqlalchemy import Column, TIMESTAMP
class TimestampsMixin:
__abstract__ = True
__created_at_name__ = 'created_at'
__updated_at_name__ = 'updated_at'
__datetime_func__ = datetime.now()
created_at = Column(
__created_at_name__,
TIMESTAMP(timezone=... | siarie/fastapi-start | app/db/mixins.py | mixins.py | py | 581 | python | en | code | 0 | github-code | 6 |
14555529648 | from time import sleep
import btc
import click
from core import BitcoinTwitterProfile
import schedule
@click.group()
def bitc0in_twitter():
"""
Syncs your twitter profile with bitcoin's volatility.
"""
@bitc0in_twitter.command()
def run():
"""Start Program"""
bitcoin_percent_change = btc.get... | dgnsrekt/bitc0in-twitter | bitc0in_twitter/cli.py | cli.py | py | 1,335 | python | en | code | 1 | github-code | 6 |
29282262756 | # -*- coding: utf-8 -*-
import ispformat.schema as _schema
from jsonschema import Draft4Validator, RefResolver, draft4_format_checker
from jsonschema.exceptions import RefResolutionError, ValidationError
from urlparse import urlsplit
class MyRefResolver(RefResolver):
def resolve_remote(self, uri):
# Prev... | Psycojoker/isp-format | ispformat/validator/schemavalidator.py | schemavalidator.py | py | 4,121 | python | en | code | 0 | github-code | 6 |
12014916109 | '''
Find the nearest smaller numbers on left side in an array
Given an array of integers, find the nearest smaller number for every element such that the smaller element is on left side.
Examples:
Input: arr[] = {1, 6, 4, 10, 2, 5}
Output: {_, 1, 1, 4, 1, 2}
First element ('1') has no element on left side. F... | umr55766/warmup | Find-the-nearest-smaller-numbers-on-left-side-in-an-array.py | Find-the-nearest-smaller-numbers-on-left-side-in-an-array.py | py | 876 | python | en | code | 1 | github-code | 6 |
6401924379 |
# version: python 3.7
# zID: z5052292
from socket import *
from datetime import datetime
import time
import sys
serverIP = sys.argv[1]
serverPort = int(sys.argv[2])
clientSocket = socket(AF_INET, SOCK_DGRAM)
list_rtts = []
packets_lost = 0
for i in range(10):
time_stamp = datetime.now().isoformat(s... | YuanG1944/COMP9331-Computer-Networks-and-Applications | Lab2/PingClient_zhou.py | PingClient_zhou.py | py | 1,235 | python | en | code | 4 | github-code | 6 |
10426011052 | """Conceptual model page."""
from django.db import models
from wagtail.core.models import Page
from wagtail.core.fields import RichTextField
from wagtail.admin.edit_handlers import FieldPanel
from wagtail.images.edit_handlers import ImageChooserPanel
class CMPage(Page):
template = "ecos_cm/cm_page.html"
E... | CNR-ISMAR/ecoads | ecos_cm/models.py | models.py | py | 1,600 | python | en | code | 0 | github-code | 6 |
4534058436 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import SPARQLWrapper
# REF [site] >> https://sparqlwrapper.readthedocs.io/en/latest/main.html
def select_example():
sparql = SPARQLWrapper.SPARQLWrapper("http://vocabs.ardc.edu.au/repository/api/sparql/csiro_international-chronostratigraphic-chart_geologic-time-scale-202... | sangwook236/SWDT | sw_dev/python/ext/test/database/sparqlwrapper_test.py | sparqlwrapper_test.py | py | 7,970 | python | en | code | 17 | github-code | 6 |
38030500642 | import numpy as np
import matplotlib.pyplot as plt
from tqdm.auto import tqdm
"""
Reads Siemens rawdata file and returns the DICOs values
Author: Ali Aghaeifar <ali.aghaeifar@tuebingen.mpg.de>
"""
def read_dico(twixObj):
mdb_vop = [mdb for mdb in twixObj[-1]['mdb'] if mdb.is_flag_set('MDH_VOP')]
# concatenate... | aghaeifar-publications/RFPA_drift | dico_tools.py | dico_tools.py | py | 2,283 | python | en | code | 0 | github-code | 6 |
39451137948 | from tkinter import Tk, StringVar, Label, Button, Entry, filedialog, W
from os.path import exists
import generator as gp
def cmdExec():
if checkFileExist(textIn.get()) and checkFileExist(textOut.get()):
result.set("Gerando planilha de presença ...")
isSuccess = gp.main(textIn.get(), textOut.get())
... | lucasgbezerra/python_projects | attendance_sheet/app.py | app.py | py | 2,139 | python | en | code | 0 | github-code | 6 |
70488508987 | # accepted on codewars.com
import random
import math
import time
conflicts_threshold = 3
# main method
def solve_n_queens(size, mandatory_coords):
# here we use the simple bactracking
if size <= 10:
answer = queens_backtrack(size, mandatory_coords)
return get_string_of_queens(size, answer) i... | LocusLontrime/Python | CodeWars_Rush/_1kyu/N_queens_problem_1kyu.py | N_queens_problem_1kyu.py | py | 7,078 | python | en | code | 1 | github-code | 6 |
71476996348 | # 피보나치 수열
import sys
input = sys.stdin.readline
n = int(input())
# 1번과 2번 더하면 3번, 2번과 3번 더하면 4번.. 이러한 방법이므로
# A는 B의 값을 받고, B는 A의 값을 더해서 받는다.
# 최종 결과값은 A
A = 0
B = 1
for i in range(n):
A, B = B, B+A
print(A)
| YOONJAHYUN/Python | BOJ/10826.py | 10826.py | py | 318 | python | ko | code | 2 | github-code | 6 |
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