index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
10,200 | 358d39b8b4bbc07a64bd16edb25b5e963e9c3bd0 | from PIL import Image
im = Image.open("monalisa.jpg","r")
def effect_spread(self, distance):
"""
Randomly spread pixels in an image.
:param distance: Distance to spread pixels.
"""
self.load()
return self._new(self.im.effect_spread(distance))
im2 = im.effect_spread(100)
im2.show()
|
10,201 | 88fc3e904ba286b2d4f8852be2aeec59f85de83c | # -*- coding: utf-8 -*-
import csv
import xml.dom.minidom
import os
import time
import openpyxl
import requests
cook='foav0m0k120tcsrq32n82pj0h6'
def getImporter(name):
name = name.replace(',', '').replace('\'', '')
r = requests.post('https://fsrar.gov.ru/frap/frap', data={'FrapForm[name_prod]': nam... |
10,202 | d4a1e7f0043eb35305b63689130e09501c1ce57d | from app.core import Forca
def test_animais():
f = Forca('animais')
assert isinstance(f.palavra(), str)
def test_paises():
f = Forca('paises')
assert isinstance(f.palavra(), str) |
10,203 | 2127dc0db40f6f76a95cabdc1bcf4372b14b87f3 | # -*- coding: utf-8 -*-
"""
Created on Sat May 19 21:19:56 2018
@author: 王磊
"""
import os
def loadintxt(fileName):
with open(fileName, 'r', encoding='utf-8') as file:
comment = file.readlines()
return comment
def addtxt(textcomments, fileName='D:\\Python\\Spider\\allcommen... |
10,204 | 50218e8f7eb43cbc010748ea3215ad9134a7ad53 | import discord
from discord.ext import commands
import asyncio
import os
class Others(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command(brief='Shows you my ping', help="Using this command i'll tell you my latency")
async def ping(self, ctx):
await ctx.s... |
10,205 | 027e69f64c3a06db55de882c1499177345fe0784 | #!/bin/python3
import math
import os
import random
import re
import sys
if __name__ == '__main__':
#n = int( input().strip() )
for n in [ 1, 4, 6, 8, 21, 24 ]:
res = ""
if n%2 == 0 and ( n in range( 2, 6 ) or n > 20 ):
res += "Not"
res += "Weird"
print( str( n ) +... |
10,206 | db0a963a8de1b3db7b73fdff09bdb87895fde7f6 | from pyvmmonitor_core.compat import * |
10,207 | 1f06bfd8f5226e1c8bdd3824da1dfab299b6c115 | def myfunc(*args):
evens = []
for item in args:
if item%2 == 0:
evens.append(item)
return evens
nums = myfunc(1,2,3,4,5,6)
print(nums)
def myfunc(string):
s = ''
counter = 1
for letter in string:
if counter%2 != 0:
s += letter.lower()
else:
s += letter.upper()
counter += 1
print(s)
word = m... |
10,208 | fc1c6d6b8cd08d3c35c3057e60206bb9aeff0d38 | from django.core.management.base import BaseCommand, CommandError
from django.core.serializers.json import DjangoJSONEncoder
from urllib.request import urlopen
import json
from shows.models import Episode
from shows.models import Show
from datetime import date
from datetime import datetime
from datetime import timedelt... |
10,209 | 93e3bc6c103b47aa13c79f7f60b0b6656efd2a82 | class Model1(object):
def __init__( self, root = None, expanded = None):
self.root = root or []
self.expanded = expanded or []
self.flattened_list = []
self.listeners = []
self.depths = {}
self.filters = []
self.donotexpand = []
class Model2(object):
def ... |
10,210 | c859908f65cda4fbc88d717f662b7259779007a6 | # An OAuth access token is needed, see: https://docs.github.com/en/free-pro-team@latest/github/authenticating-to-github/creating-a-personal-access-token
# Rate limit is 500 per day or 50 if you do not meet certain requirements.
# For more informations see: https://docs.github.com/en/free-pro-team@latest/rest/reference/... |
10,211 | bf5653c6239e12b362f8eeebce1c0d0570c29d73 | from rest_framework.response import Response
from rest_framework.views import APIView
from .serializer import ProfileSerializer,ProjectSerializer
from django.http.response import HttpResponseRedirect
from django.urls import reverse
from review.forms import ReviewForm, SignUpForm,UserProfileForm,ProjectForm
from review.... |
10,212 | 7f42f7f2815ce595c5b5a061f7c54aa3d4777ed8 | from django.conf.urls import patterns, include, url
from django.contrib import admin
from mysite.views import test,welcome,books
admin.autodiscover()
urlpatterns = patterns('',
('^test/',test),
('^welcome/',welcome),
('^books/',books),
(r'^admin/',include(admin.site.urls)),
)
|
10,213 | c40e1d3c794232f6d2f7311067eba0b851c46067 | from procedures import BuildProcedure
from buildbot.steps.source import Git
from buildbot.steps.shell import Test, SetProperty
from buildbot.steps.slave import SetPropertiesFromEnv
from buildbot.process.properties import WithProperties
def Emacs():
return WithProperties(
'%(EMACS)s'
, EMACS=lambda ... |
10,214 | 2a974f2c94a6c46c3ba7a1d34c65a4acb9f4c6b0 | # -*- coding: utf-8 -*-
# Copyright 2018 IBM.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... |
10,215 | 99084c12239034766371f8fce3538a3a8f5736ba | def cruise(filename, outname):
infile = open(filename, "r+")
outfile = open(outname, "w+")
lines = infile.readlines()
T = int(lines[0])
line_num = 1
for i in range(T):
D = int(lines[line_num].split(" ")[0])
N = int(lines[line_num].split(" ")[1])
max_time = 0
line_... |
10,216 | 63026794355a652feb605695eec7ab379364d51b | import numpy
import tkinter
from tkinter import filedialog
from matplotlib import pyplot as plt
def LoadTexturesFromBytes(texturesBytes):
dataTypeMap = { 2 : 'float16', 4 : 'float32' }
totalBytesToRead = len(texturesBytes)
bytesRead = 0
textures = {}
while bytesRead < totalBytesToRead:
re... |
10,217 | 7b540b0c3aacc8fe379e095c9a26d6ec724eaad1 | """
test_get_webpage.py -- Given a URI of a webpage, return a python
structure representing the attributes of the webpage
Version 0.1 MC 2013-12-27
-- Initial version
Version 0.2 MC 2014-09-21
-- Update for PEP 8, Tools 2
"""
__author__ = "Michael Conlon"
__copyright__ = "Copyright 2014, Un... |
10,218 | fadb4967afd5bd91e56243d84119169fb8c42d44 | import os
import cv2 as cv
import numpy as np
from time import sleep
def save_image(img, path):
cv.imwrite(path, img)
def show_image(img):
cv.imshow('frame', img)
def detect_face(cascade, image):
image_copy = image.copy()
grayscale = cv.cvtColor(image_copy, cv.COLOR_BGR2GRAY)
faces = cascade.... |
10,219 | f7edfb23d4bc14900e1a3ea7d2496fc5b14ac52f | import unittest
import os
from org.geppetto.recording.creators import NeuronRecordingCreator
from org.geppetto.recording.creators.tests.abstest import AbstractTestCase
class NeuronRecordingCreatorTestCase(AbstractTestCase):
"""Unittests for the NeuronRecordingCreator class."""
def test_text_recording_1(self)... |
10,220 | a8c00f46b749a7454169cfe8c2bfa521f81cd24e | # gensim modules
from gensim import utils
from gensim.models.doc2vec import TaggedDocument
from gensim.models import Doc2Vec
from sources import sources
import string
# numpy
import numpy
# shuffle
from random import shuffle
# logging
import logging
import os.path
import sys
import _pickle as pickle
log = logging... |
10,221 | 63433e91668d0a19a6072a881599b611b7d5be72 | from django.urls import path
from curricula.api.views import (
carrera,
anio_lectivo,
anio,
materia,
evaluacion,
)
urlpatterns = [
# Carrera
path("carrera/", carrera.create_carrera, name="carrera-create"),
path(
"carrera/<int:pk>/",
carrera.view_edit_carrera,
nam... |
10,222 | fc5bd65b75cdbb48386de74da0798bf7656b7fc3 | ####################################################
# A unit fraction contains 1 in the numerator. The decimal representation of the unit fractions with denominators 2 to 10 are given:
# 1/2 = 0.5
# 1/3 = 0.(3)
# 1/4 = 0.25
# 1/5 = 0.2
# 1/6 = 0.1(6)
# 1/7 = 0.(142857)
# 1/8 = 0.125
# 1/9 = 0.(1)
# 1/10 = 0.... |
10,223 | 2f3238eeb45a1684a218ee6f8ac401f31b005c2d | # 按题目说明解法
class Solution(object):
def lastRemaining(self, n):
nums = [i+1 for i in range(n)]
res = []
while len(nums) > 1:
for i in range(1, len(nums), 2):
res.append(nums[i])
nums, res = res[::-1], []
return nums[0]
# 找规律，如果输入a输出b，则输入2a输出2*（... |
10,224 | 7cdd60a42d19d37584d268be06322fce5b011e84 | # -*- coding: utf-8 -*-
import os
import re
import csv
import unicodedata
csv_path = r"C:\Users\glago\YandexDisk\Fests\AtomCosCon 2022\AtomCosCon 22 - Заявки.csv"
id_row = '#'
folder_path = r"C:\Users\glago\YandexDisk\Fests\AtomCosCon 2022\Tracks"
id_regex_filename = r"^(?P<id>\d{3})"
def make_name(d):
return ... |
10,225 | a0349cfa08a5095d7b20d9e26953d614655b415f | # Generated by Django 3.2.7 on 2021-09-02 23:58
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='City',
fields=[
... |
10,226 | 5d0d2d9c5c32f9da54462c15fd48d0862f4cdb4c | # Copyright (c) 2007 Twisted Matrix Laboratories.
# See LICENSE for details.
"""
See how fast deferreds are.
This is mainly useful to compare cdefer.Deferred to defer.Deferred
"""
from twisted.internet import defer
from timer import timeit
benchmarkFuncs = []
def benchmarkFunc(iter, args=()):
"""
A decora... |
10,227 | 32cffe48918261c0094c8ca59d6f72d01884ac2b | from sdoc.application.SDocApplication import SDocApplication
def main():
"""
The main of the sdoc program.
"""
sdoc_application = SDocApplication()
sdoc_application.run()
# ----------------------------------------------------------------------------------------------------------------------
|
10,228 | 519119ceb5a3bd526ffb5af741eb28969298863d | # -*- coding: utf-8 -*-
# !/usr/bin/env python3
# Function decorator: prints when a function is called along
# with its parameters
def debug(func):
def decorated(*args, **kwargs):
print('Function: {} called with args: {} and kwargs: {}'.format(
func.__name__,
args,
kwarg... |
10,229 | 866930e9038c3f7fc528ef470c4b3e5d3c4fce1f | import monitors
myPR650 = monitors.Photometer(1)
myPR650.measure()
spec = myPR650.getLastSpectrum()
|
10,230 | 61ab2006f29d1fb7b040b1f2f63317d1a81c1990 | from abc import ABC, abstractmethod
class IMove(ABC):
@abstractmethod
def move(self):
pass
|
10,231 | aecab19cb45a60895ccbc91df2f45bcb3221f3c3 | # import the necessary packages
from tracker.centroidtracker import CentroidTracker
from tracker.trackableobject import TrackableObject
from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import argparse
import imutils
import time
import dlib
import cv2
# import pretrained SSD Model ... |
10,232 | c72e625760e2a94320146539cabfd247be029298 | import itertools
import os
import re
import jieba
from wordcloud import WordCloud
def get_rhyme(f_name):
f = open('./lyrics/' + f_name, 'r', encoding='UTF-8')
text = f.readlines()
f.close()
'''处理开头'''
for m, n in enumerate(text):
if '编曲：' in n:
lyric_drop_head = text[m + 1:]
... |
10,233 | 449a58836d1fffaaa465707d2f7e5caf5678a255 | #deltoid curve
#x = 2cos(theta) + cos(2theta)
#y = 2sin(theta) + sin(2theta)
#0 <= theta < 2pi
#polar plot r = f(theta)
#x = rcos(theta), y = rsin(theta)
#Galilean spiral = r=(theta)^2 for 0 <= theta < 10pi
# Fey's Function
#r = e^(cos(theta)) - 2 cos(4theta) + sin^5(theta/12)
from numpy import pi, cos, sin,... |
10,234 | 4f83c902cb8ac4afd6d1a83eb26c74f1567302f1 |
from .discriminator import Discriminator
|
10,235 | c83e84a08e6668409441cc3ec89e0352c6ed1aee | #!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2019, Adam Miller (admiller@redhat.com)
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = """
---
module: rule
short_descri... |
10,236 | 0b59b3e8721b8d251c1c79b73db8d2caa5155e63 | """ DataFiles
"""
from autodir import factory
import autofile
import autoinf
def information(ddir, file_prefix, function=None):
""" generate information DataFile
"""
def writer_(inf_obj):
if function is not None:
assert autoinf.matches_function_signature(inf_obj, function)
inf_... |
10,237 | 4788c86a3f78d5877fb07b415209fe9b5d8ddd34 | import numpy as np
def unpickle(file):
import cPickle
with open(file, 'rb') as fo:
dict = cPickle.load(fo)
return dict
#Exctracts 8-bit RGB image from arr of size nxm starting at i0
def extract_img(arr, n,m, i0):
im = np.zeros((n,m,3),dtype=np.uint8)
for i in range(3):
for j in r... |
10,238 | c9baccb09e5ac57daef9000707807c94034c59e4 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 28 2020
@author: Cassio (chmendonca)
Description: This class was created as a container to the game characteristics
and configurations
"""
from random import randint
class Settings():
"""A class that have all configurations of the game"""
def __init__(self):
... |
10,239 | 1c9626b5654166f6c5022d38fd8f15fbd1b46b0f | # coding=utf8
import matplotlib.pyplot as plt
import numpy as np
open,close=np.loadtxt('G:\\PythonCode\\DataBase\\000001.csv',delimiter=',',skiprows=1,usecols=(1,4),unpack=True)
change=close-open
print(change)
yesterday=change[:-1]
today=change[1:]
plt.scatter(yesterday,today,10,'r','<',alpha=0.5)
plt.show() |
10,240 | 1c099dc8e0c13102164b7368b0ed091d1ee0fbe1 | import rospy
import ros_numpy
import cv2
import darknet
import math
import numpy as np
from sensor_msgs.msg import Image, PointCloud2, PointField
from std_msgs.msg import Header, String
from cv_bridge import CvBridge, CvBridgeError
from pose_detector import PoseDetector
import sensor_msgs.point_cloud2 as pc2
class Bl... |
10,241 | 1828198d2a146d96420050f5925a8456eeb66b3a | # Lendo valores inteiros e guardando em um vetor para mostrar no final o menor valor lido
num = []
maior = 0
menor = 0
print('Insira dez números e descubra qual é o menor dentre eles!')
for c in range(0,10):
num.append(int(input('Insira um número: ')))
if c == 0:
maior = menor = num[c]
else:
... |
10,242 | 2698d0e6904bdf38b0d10cfd2b630da2ad529e66 | # from .sgf import *
from dlgo.gosgf.sgf import Sgf_game
|
10,243 | 63baadbcc6d44d06d30d3d752cf93e4bc8d05a46 | string = input("Enter String: ")
word_list = str.split(string.lower())
word_dict = {}
for word in word_list:
if word in word_dict:
word_dict[word] += 1
else:
word_dict[word] = 1
list_of_words = sorted(word_dict.keys())
word_length = []
for word in word_dict:
word_length.append(len(word))... |
10,244 | d82ef65caf5ba2f4fe44ac09d4c179b1f19a17fc | #!/usr/bin/env python
#
# VMAccess extension
#
# Copyright 2014 Microsoft Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... |
10,245 | a89649153fa3127dc789ec79efd8c7e2e862e09e | #!/usr/bin/env python
import numpy
def estimate_norm(X):
return X.mean(axis=0), X.std(axis=0, ddof=1)
def normalize(X, norm):
return numpy.array([(k - norm[0]) / norm[1] for k in X])
|
10,246 | 812c892a78f9c399b48033c1c36f8780d4a2bcfa | from django import template
register = template.Library()
@register.filter()
def sweat_change(value):
try:
if value:
strlist = value.split('-',1)
class_int = strlist[0]
seat_int = strlist[1]
return '第%s试室%s号'%(class_int, seat_int)
else:
... |
10,247 | 6ba7c55a3c0b71d4991595aab2601ee559b347bb | import sys
import requests
def getem(key):
url = ('http://beta.content.guardianapis.com/search?'
'section=film&api-key=%s&page-size=50&page=%i')
with open('results.json', 'w') as fout:
page = 1
total = 0
while True:
r = requests.get(
url % (key, p... |
10,248 | 1dbcbf97893eb6f6096be082f74ac14d4f7ced8e | import image
img =image.Image("img.jpg")
print(img.getWidth())
print(img.getHeight())
p = img.getPixel(45, 55)
print(p.getRed(), p.getGreen(), p.getBlue())
|
10,249 | 3d10ffaa55daab465e84eef0e313371af7c269f7 | import torch
class Memory_OnPolicy():
def __init__(self):
self.actions = []
self.states = []
self.next_states = []
self.logprobs = []
self.rewards = []
self.dones = []
def push(self, state, action, reward,next_state,done, logprob):
self.act... |
10,250 | 9948cbc5f8bfbb4516e7d5effebdd0224d24e0f3 | #!/usr/bin/python
'''
Calculate the overall sentiment score for a review.
'''
import sys
import hashlib
def sentiment_score(text,pos_list,neg_list):
pos_score=0
neg_score=0
for w in text.split(' '):
if w in pos_list: pos_score+=1
if w in neg_list: neg_score+=1
return pos_score-neg_sco... |
10,251 | 581d1b9e6cd9df5fb1fdae1bcc26818938f5906d | import os
from datetime import datetime
from nest_py.core.db.sqla_resources import JobsSqlaResources
from nest_py.nest_envs import ProjectEnv, RunLevel
from nest_py.ops.nest_sites import NestSite
def generate_db_config(project_env=None, runlevel=None):
if project_env is None:
project_env = ProjectEnv.hel... |
10,252 | 4771fc205e78947925bfa7bcbf45e44114836226 | from flask import Flask, render_template, flash, request, redirect, url_for, session, send_file
from wtforms import Form, TextField, TextAreaField, validators, StringField, SubmitField
import sendgrid
import os
users = 0
class ContactForm(Form):
name = TextField('Full Name', validators=[validators.DataRequired()], r... |
10,253 | 2a6abf28c23a925b8cc02621b5210a579cfe65de | # Generated by Django 2.0.4 on 2018-06-25 10:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('postcontent', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='author',
name='slug',
f... |
10,254 | a07ef98502948a5cbb1a306bf65d80b256eaf28c |
import dynet as dy
import Saxe
import numpy as np
class MLP:
""" MLP with 1 hidden Layer """
def __init__(self, model, input_dim, hidden_dim, output_dim, dropout = 0, softmax=False):
self.input = input_dim
self.hidden = hidden_dim
self.output = output_dim
self.dropout = dropo... |
10,255 | 0181084a016f075cd0626db2522e0cd12accecdd | import numpy as np
file_data = np.loadtxt('./data/final1.csv',delimiter=',')
# Using Min - Max normalisation
data =[]
final_data= []
target_data = []
valmean_nor = ((file_data[:,0]) - min(file_data[:,0]))/(max(file_data[:,0]) - min(file_data[:,0]))
valmax_nor = ((file_data[:,1]) - min(file_data[:,1]))/(max(file_da... |
10,256 | e9100720fc706803ca5208c335a4a3b2ef5044c2 | from typing import List
from django.urls import (path, URLPattern)
from . import views
urlpatterns: List[URLPattern] = [
path(route='', view=views.StaffView.as_view(), name='staff'),
path(route='products/', view=views.ProductListView.as_view(), name='product-list'),
path(route='create/', view=views.Produ... |
10,257 | 46e3803cdc972f8411c14ac338e5ff0eb84e8023 | __author__ = 'wangqiushi'
|
10,258 | 555063bb8c1fa7a0c857f88f1a034a7fda00d56d | import pandas as pd
import numpy as np
import os
import pickle
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.models import Model, load_model
from azure_stt import speech_to_text
from google_tts import text_to_audio
from text_analytics import keyword_ext... |
10,259 | 82fa4a87b4d8cfc45577bc519f62d06b7369b242 | # Generated by Django 3.0.2 on 2020-08-04 15:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('exam', '0002_profile'),
]
operations = [
migrations.AddField(
model_name='profile',
name='About_me',
... |
10,260 | af39fa086691c48f157863c791e3f07b96152fc6 |
# def TwoSum(nums:list,target):
# nums.sort()
# begin = 0
# end = len(nums) - 1
# while begin < end:
# sum = nums[begin] + nums[end]
# if sum== target:
# print(begin,end)
# begin += 1
# end -= 1
# else:
# if sum < target:
# ... |
10,261 | 3413c8d24d8d411f98a9d1148b47d3f8dab32ffc | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import configparser
from telegram.ext import Updater
from telegram.ext import CommandHandler
from telegram.ext import MessageHandler, Filters
import wiki2txt
import web_browser
import holiday
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname... |
10,262 | a15c714afa5ecd3bb7424db44f82a620602c6963 | import requests
url = 'https://ipinfo.io'
username = ''
password = ''
proxy = f'socks5h://{username}:{password}@gate.smartproxy.com:7000'
response = requests.get(url, proxies= {'http': proxy, 'https': proxy})
print(response.text)
|
10,263 | fcaf05a0f83ee78a37ca9726e1c111597fce6dfc | from models.usuario import UsuarioModel
import bcrypt
class Usuario(object):
def __init__(self, id, username):
self.id = id
self.username=username
def __str__(self):
return "Usuario(id='%s')" % self.id
# return "Usuario(id='{}')".format(self.id)
def autenticacion(username, pass... |
10,264 | d47d487cd3213f98980041ebb22d33dc2b58baed | #!/usr/bin/python3
import tkinter as tk
from tkinter import ttk
from PIL import Image, ImageTk
import pyautogui
#import random
from random import randint
import cv2
import h5py
import numpy as np
from matplotlib import pyplot as plt
from pylab import *
from tkinter import messagebox
from matplotlib.backends.backend_t... |
10,265 | b30cc79dd8f7db6001158bef66aeee89e1d60558 | # -*- coding: utf-8 -*-
"""Plant disease detection
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1p_O39hjZ9J9CzX2lDWWqH_rNa8cp-mg1
"""
from keras import applications
from keras.preprocessing.image import ImageDataGenerator
from keras import optimizer... |
10,266 | 4273e7dcdb038ff83a89e785b34b217509b3a4ce | #20微巴斯卡=0分貝，定義為v0；此式代表多少微巴斯卡=多少分貝
import numpy as np
print(20*np.log10(20000/20))
#分貝=20log10(微巴斯卡/20)
print((10**(30/20+np.log10(20)))/(10**(50/20+np.log10(20))))
|
10,267 | 092bb2ec1e09147f69e251597c8b141471429784 | import sys
import numpy as np
import numpy.linalg as la
import pandas as pd
import patsy
import statsmodels.api as sm
from feature_selection_utils import select_features_by_variation
from sklearn.feature_selection import mutual_info_regression
from sklearn.preprocessing import StandardScaler
# Auxiliary functions of... |
10,268 | 0b1b8da0467298471c3f9487b753c801a3c6f514 | import pymssql #引入pymssql模块
import xlwt
##==============写入第一个数据库10.42.90.92========================
connect = pymssql.connect('10.42.90.92', 'fis', 'fis', 'cab') #服务器名,账户,密码,数据库名
print("连接10.42.90.92成功!")
crsr = connect.cursor()
# select name from sysobjects where xtype='u'
# select * from sys.tables
#查询全部表名称
# cu... |
10,269 | d64480d370113edf14f7fda9f9551604af779439 | from django.conf.urls import url
from django.conf import settings
from .views import fill_clients, fill_accounts, fill_account_analytics, fill_products, fill_product_analytics, fill_product_track_record_evolution, fill_account_track_record_composition, fill_account_track_record_evolution
urlpatterns = [
url(r'^cl... |
10,270 | f5c41d4c9a974da27a39e1f6936f2895c7a9f447 | n=int(input())
ss=input()
a=[int(i) for i in ss.split(' ')]
h=[0 for i in range(100)]
t=-1
for i in range(n):
t=max(a[i],t)
h[a[i]]+=1
ans=0
while n:
cnt=0
for i in range(t+1):
while h[i] and i>=cnt:
h[i]-=1
cnt+=1
n-=1
ans+=1
print(ans) |
10,271 | 259b25eee48c1670e3c28d70b663a5123574d66f | # coding=utf-8
import random
from OTLMOW.OTLModel.Datatypes.KeuzelijstField import KeuzelijstField
from OTLMOW.OTLModel.Datatypes.KeuzelijstWaarde import KeuzelijstWaarde
# Generated with OTLEnumerationCreator. To modify: extend, do not edit
class KlSlemProductfamilie(KeuzelijstField):
"""De mogelijke productfami... |
10,272 | 73d2b2cba0c76020cbd22b2783b7eeeec9f0123a | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-03-11 15:36
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('originacion', '0004_rvgl'),
]
operations = [
migrations.AddField(
... |
10,273 | 9481b4b2f24b440fb01e863d8bd44e1c760dcaed | d = "Привет!".upper()
print(d)
e = "Hallo!".replace("a", "@")
print(e)
|
10,274 | e999d8d23215c6b2bece36753f107be96af9e855 | ################################################################################
# MIT License
#
# Copyright (c) 2017 Jean-Charles Fosse & Johann Bigler
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in t... |
10,275 | 4aea5ce6c195f5b9a72299166118bb96c984b8a5 | #importing serial module(need pyserial)
import serial
try:
arduino = serial.Serial(timeout = 1, baudrate = 9600)
except:
print('Check port')
rawData = []
def clean(L):
newl = []
for i in range(len(L)):
temp = L[i][2:]
newl.append(temp[:-5])
return newl
cleanData = clean(rawData)
#write t... |
10,276 | 623037c96b2a2f97fc218432c5621c311986dfd1 | from PIL import Image
import re
import os
class Product:
def __init__(self, name, price):
self.name = name
self.price = price
def add_thumbnail(self, image_path, size):
image = Image.open(os.getcwd() + "/" + image_path)
name = re.search('(?<=\/)\w+', image_path).group(0)
... |
10,277 | dcdfe6937f33fb444aab8dce19cad7cfe91bb210 | import openpyxl,os
wb = openpyxl.Workbook()
print(wb.sheetnames)
sheet = wb['Sheet']
sheet['A1'] = 32
sheet['A2'] = 'hello'
wb.save('example2.xlsx')
sheet2= wb.create_sheet()
print(wb.sheetnames) |
10,278 | b12cd6667c8de6dde35f1f00442b1cba0e965caf | #!flask/bin/python3.7
from flask import Flask, jsonify, abort, make_response
app = Flask(__name__)
devices = [
{
'id': 1,
'description': u'Keith\'s Desktop',
'ip': u'192.168.1.182'
},
{
'id': 2,
'description': u'Keith\'s Macbook Air',
'ip': u'192.168.1.15'
... |
10,279 | 8b9f86094b652776ede67f32117440ed8f456b47 | import torch
from pyro.distributions import (
Independent, RelaxedBernoulliStraightThrough
)
from pyro.distributions.torch import RelaxedOneHotCategorical # noqa: F401
from torch import nn
from torch.distributions.utils import clamp_probs, broadcast_all
from counterfactualms.distributions.deep import DeepCondition... |
10,280 | c05e4d33ed802cdc74d3a432417e3b66ed042dad | #!/usr/bin/python
#
# Copyright 2018-2022 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... |
10,281 | c0aaacb3f6961f5b6d12b6aacc2eb9a4bf2f6827 | import pytest
from twindb_backup.destination.gcs import GCS
@pytest.fixture
def gs():
return GCS(
bucket='test-bucket',
gc_credentials_file='foo'
)
|
10,282 | 5be342f5a24437ec1570b44ce54b473e38229646 | def dupfiles_count(input_dict):
count = 0
for val in input_dict.values():
count += len(val)
return count
|
10,283 | 945db3ea014f4828af2a1a58fbb1db491cbe30a7 | lat = 51
lon = 4
startyear = 2015
endyear = 2015
angle = 0
aspect = 0
optimalangles = 0
outputformat = "json" |
10,284 | e621363a0bb29ba95b102bf0409b4afe27b35c1d | import functions
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib import colors as mcolors
def legendre(a,p):
return functions.fast_power(a, (p-1)//2, p)
def jacobi(a,n):
# print(a, n)
if n <= 0 or n % 2 == 0:
return -2 # Undefined
re... |
10,285 | b7bfdfe671f8683f56f0194a730ef8da49c4452b | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
# Copyright 2018-2020 ARM Limited or its affiliates
#
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except... |
10,286 | 53a0d0204591653bd13a6b392e1f2b8d138df8ab | '''
Python wrapper for libgtpnl
'''
from ctypes import CDLL,c_int,c_uint16,c_char_p,c_void_p
from ctypes import pointer,byref
from socket import socket,inet_aton,AF_INET,SOCK_DGRAM,AF_NETLINK # IPv4
from struct import unpack
from .gtpsock import GtpSocket
from .structures import *
import logging
from time import slee... |
10,287 | cdb78a8996cd517f5f49d5a6e5faca73b5d94033 | from django.core.management.base import NoArgsCommand
import pdb
class Command(NoArgsCommand):
def handle_noargs(self, **options):
'''
deletes all keys from given keyring
'''
from onboarding.interactive_brokers import encryption as encr
from onboarding.interactive_brokers i... |
10,288 | 44e86828ff8acb96a1d1c2dd4c2cef5d5eff25ac | """
You can call the function find_largest_water_body by passing in a 2D matrix of 0s and 1s as an argument. The function
will return the size of the largest water body in the matrix.
Here's a Python solution that uses a recursive approach to find the largest water body in a 2D matrix of 0s and 1s:
"""
def _wbs(i, j... |
10,289 | 93c34b54593993816f83802353ce8a334a546b45 | from django.db import models
from django.contrib.auth.models import User
from django.contrib.sessions.models import Session
class Manufacturer(models.Model):
ManID = models.IntegerField(primary_key=True, serialize=True)
Name = models.CharField(max_length=255)
def __str__(self):
return self.Name
... |
10,290 | 2e96d36b19fd9aef031c0dd18853d01730ef7b12 | import csv
import numpy as np
import cv2
def run():
with open("./data_base.csv") as file:
n_cols = len(file.readline().split(";"))
print(n_cols)
X = np.loadtxt("./data_base.csv", delimiter=";", usecols=np.arange(0, n_cols - 1))
Y = np.loadtxt("./data_base.csv", delimiter=";", usecols=n_c... |
10,291 | 584944ea2122fcffe7c72f8df3922aeb2765eba7 | # 6-11. Cities: Make a dictionary called cities. Use the names of three
# cities as keys in your dictionary. Create a dictionary of information about
# each city and include the country that the city is in, its approximate
# population, and one fact about that city. The keys for each city’s
# dictionary should be somet... |
10,292 | 237b38605e007edfa0e25cc0cd68534073a15c66 | # -*- coding: utf-8 -*- {{{
# vim: set fenc=utf-8 ft=python sw=4 ts=4 sts=4 et:
#
# Copyright 2017, Battelle Memorial Institute.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www... |
10,293 | bcd750a204aef76f974e22121ebcf33221b908c5 | index = 0
fruits = ["apple", "mango", "strawberry", "grapes", "pear", "kiwi", "orange", "banana"]
print(fruits)
print(len(fruits))
while index < len(fruits): # while loop goes on executing until the condition inside it is satisfied
fruit_new = fruits[index]
print(index)
print(fruit_new)
index = index ... |
10,294 | c62458e4e7ea2b87068c4172bcabed4f1c48bdc8 | INPUT = {
4: ['Masters', 'Doctorate', 'Prof-school'],
6: ['HS-grad'],
3: ['Bachelor']
}
wynik = {}
for key, value in INPUT.items():
for education in value:
wynik[education] = str(key)
## Alternatywnie:
#
# wynik = {education: str(key)
# for key, value in EDUCATION_GROUPS.items()
# ... |
10,295 | 1534cc3b4c6f1554213512f16738b57f0d77b41e | age = int(input('나이 입력: '))
if (age >= 60):
print('30% 요금 할인대상입니다')
cost = 14000*0.7
elif (age <= 10):
print('20% 요금할인 대상입니다')
cost = 14000*0.8
else:
print('요금할인 대상이 아닙니다')
cost = 14000
print('요금: ' + str(int(cost)))
|
10,296 | 28ed2f4c981db5cb41aa51dc691285b4c64086d8 | import FWCore.ParameterSet.Config as cms
process = cms.Process("Gen")
process.load("FWCore.MessageService.MessageLogger_cfi")
# control point for all seeds
#
process.load("Configuration.StandardSequences.SimulationRandomNumberGeneratorSeeds_cff")
process.load("SimGeneral.HepPDTESSource.pythiapdt_cfi")
# physics eve... |
10,297 | efc631f75aa1b4780fef1ec559d0ff439818e95a | from django.urls import path
from backend.reviews import views
urlpatterns = [
path('', views.ListReviews.as_view(), name="list_review"),
path('add/', views.AddReview.as_view(), name="add_review")
# api
# path('add/', views.AddReview.as_view()),
# path('all/', views.AllReviews.as_view()),
# pat... |
10,298 | b5623cad90b2c4d14a2a7a505665abe6c953662e | import numpy
n = int(input())
array_a = []
array_b = []
for i in range(n):
a = list(map(int, input().split()))
array_a.append(a)
for i in range(n):
b = list(map(int, input().split()))
array_b.append(b)
array_a = numpy.array(array_a)
array_b = numpy.array(array_b)
print(numpy.dot(array_a, array_b))
|
10,299 | a1ffa9403118d9afcb718525da331082d0932e6d | async def herro(*args):
return await dnd_bot.say("herro dere") |
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