text stringlengths 8 6.05M |
|---|
"""
Time/Space Complexity = O(N)
"""
class Solution:
def canFormArray(self, arr: List[int], pieces: List[List[int]]) -> bool:
d = dict()
for i in pieces:
if len(i) == 1:
d[i[0]] = None
else:
d[i[0]] = i[1:]
li... |
import sys
import pickle
class Margaret:
def __init__(self):
self.d = {}
try:
self.d = self.deserialize()
except FileNotFoundError:
pass
def prompt(self):
# self.d = {'Margaret': []}
self.deserialize()
message = input("<")
# try:
# self.d['Margaret'].append(messag... |
# Copyright 2019 3YOURMIND GmbH
# 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 agreed to in writing, soft... |
# Author : 柠檬班-亚萌
# Project : scb23
# Time : 2021/8/26 20:02
# E-mail : 3343787213@qq.com
# Company : 湖南零檬信息技术有限公司
# Site : http://www.lemonban.com
# Forum : http://testingpai.com
'''
1、编写自动化测试用例，代码自动读取数据 # read_data()
2、发送请求，得到响应结果 # func()
3、执行结果（响应结果） VS 预期结果
4、写入最终的真实结果到测试用例 # write_data()
'''
import reques... |
# -*- coding: utf-8 -*-
import config
import json
import glob
import jpglitch
import numpy as np
from io import BytesIO
import os
import PIL.Image
import random
import re
import requests
import subprocess as sub
import sys
from urllib.parse import quote
import uuid
from wand import image as wand_image
s = requests.... |
class NumArray(object):
def __init__(self, nums):
self.dp = [0] * (len(nums) + 1) # C[i]
self.n = len(nums) # n is used for add
self.nums = nums # a[i], it will be update many times
for i in range(len(nums)):
self.add(i+1, nums[i]) # start from 1
def add(self,... |
import configparser
import logging
import os
import time
import scripts.baseseeds as bs
from scripts.graph import *
dirname = os.path.dirname(__file__)
conf = configparser.ConfigParser()
conf.read(dirname + '/resources/config')
config = conf['kmeans']
class AgregGraph(Graph): # Children class of Graph, for this sp... |
f=open("C:/Users/Lenovo-PC/Desktop/New folder/sample.txt",'a')
f.write("dept: BE-ECE")
f.close()
f=open("C:/Users/Lenovo-PC/Desktop/New folder/sample.txt",'r')
print(f.read())
count =0
fp =open("C:/Users/Lenovo-PC/Desktop/New folder/sample.txt")
for line in fp:
count += 1
print((line.strip())) |
from link_checker import link_checker
import sys
import json
from decimal import Decimal
import time
lc = link_checker(sys.argv[1], sys.argv[3])
lc.check_site(sys.argv[2])
d = {'checked_links':lc.checked_links, 'bad_links':lc.bad_links}
finish_time = time.time()
d['time'] = finish_time
print(d)
json_file = open('... |
"""Author Arianna Delgado
Created on June 23, 2020
"""
"""Product of elements in two lists using list comprehension. """
#Decles three lists.
first_list = [1,2,3,4,5]
second_list = [6,7,8,9,10]
empty_list = []
#Uses loop to solve the proplem.
'''for i in range(len(first_list)):
empty_list.append(first_list[i] *... |
from sklearn.neural_network import MLPClassifier
import pandas as pd
import numpy as np
import joblib
def test_neuralnet(clf,X_test,y_test):
print(clf.score(X_test,y_test))
if __name__ =='__main__':
data = pd.read_csv("data_set.csv")
msk = np.random.rand(len(data)) < 0.6
train = data[msk]
test =... |
# ex) a = [1, 2, 3, 4, 5]
def solve(arr):
sum = 0
for x in arr:
sum += x
return sum |
for i in range(1,8,2):
for j in range(7,i,-2):
print(" ",end='')
for j in range(1,i+1):
print("*",end='')
print()
for i in range(5,0,-2):
for j in range(5,i-1,-2):
print(" ",end='')
for j in range(1,i+1):
print("*",end='')
print()
|
__all__ = ['Airview', 'Opportunistic']
from .Airview import *
from .Opportunistic import *
|
"""empty message
Revision ID: 2fad9019718
Revises: ef462ea10e
Create Date: 2016-10-25 19:49:59.268902
"""
# revision identifiers, used by Alembic.
revision = '2fad9019718'
down_revision = 'ef462ea10e'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please... |
"""
Asset mutations
"""
from typing import List, Optional, Union
from functools import partial
from typeguard import typechecked
from ...helpers import (Compatible,
convert_to_list_of_none,
format_metadata,
format_result,
... |
from random import choice
"""Initiates game"""
print("Welcome to battleship!")
print("Menu:")
print("1. Single-player \n 2. Multi-player \n 3. Help \n 4. Credits \n")
game_choice = input()
if game_choice == "1":
"""makes a board"""
rows = [[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0],[0,0,0,0,0]]
"""... |
import tornado.web
class ApiPageHandler(tornado.web.RequestHandler):
def get(self):
self.render("api.html")
|
from networkz.algorithms.chordal.chordal_alg import *
|
import json
from datetime import datetime
from main_index.captcha.image import ImageCaptcha
from django.core.paginator import Paginator
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render, redirect
from main_index.car import Car, Car_item
from main_index.models import TBook, TCatego... |
# This file was automatically created by FeynRules 2.3.29
# Mathematica version: 10.0 for Mac OS X x86 (64-bit) (September 10, 2014)
# Date: Thu 27 Jul 2017 17:29:36
from object_library import all_lorentz, Lorentz
from function_library import complexconjugate, re, im, csc, sec, acsc, asec, cot
try:
import form_fa... |
name = "cesar"
print(name[2])
name1 = ["cesar", "gil", "ben"]
print(name1[2])
|
import copy
import os
import chainer
import chainer.functions as F
import numpy as np
from chainer import DictSummary
from chainer import Reporter
from chainer.training.extensions import Evaluator
from overrides import overrides
from sklearn.metrics import f1_score
import config
class ActionUnitEvaluator(Evaluator)... |
import numpy as np
def gaussian_xy(x_limit, y_limit):
"""
generate random (x,y) coordinates using Gaussian distribution;
the mean of the Gaussian if set to the middle of the max - min range;
the std of the Gaussian is set to a quarter of the max - min range;
rejection sampling is used if the gener... |
class Solution:
def candy(self, ratings) -> int:
left = [0]*len(ratings)
right = [0]*len(ratings)
for i in range(1,len(ratings)):
if ratings[i]>ratings[i-1]:
left[i]=left[i-1]+1
count = left[-1]
for i in range(len(ratings)-2,-1,-1):
... |
##
# Copyright: Copyright (c) MOSEK ApS, Denmark. All rights reserved.
#
# File: TrafficNetworkModel.py
#
# Purpose: Demonstrates a traffix network problem as a conic quadratic problem.
#
# Source: Robert Fourer, "Convexity Checking in Large-Scale Optimization",
# OR 53 --- Nottingham 6-8 Septembe... |
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.optim.lr_scheduler import OneCycleLR
import matplotlib.pyplot as plt
#%matplotlib inline
import numpy as np
import torchvision
import torchsummary
from torchsummary import ... |
#在windows平台下面fast_FDS没有配置好因此不配置了。
from django.core.files.storage import Storage
from fdfs_client.client import Fdfs_client
class FDFSStorage(Storage):
'''FDFSStorage文件存储类'''
def _open(self,name,mode='rb'):
'''打开文件时使用'''
pass
def _save(self,name,content):
'''
保存文件时使用
... |
from django.contrib import admin
from Insta.models import Post, PostTwo, InstaUser
# Register your models here.
admin.site.register(Post)
admin.site.register(PostTwo)
admin.site.register(InstaUser) |
'''
Problem Statement
Given a set of numbers that might contain duplicates, find all of its distinct subsets.
Example 1:
Input: [1, 3, 3]
Output: [], [1], [3], [1,3], [3,3], [1,3,3]
Example 2:
Input: [1, 5, 3, 3]
Output: [], [1], [5], [3], [1,5], [1,3], [5,3], [1,5,3], [3,3], [1,3,3], [3,3,5], [1,5,3,3]
'''
def g... |
from django.db import models
# Create your models here.
class Project(models.Model):
name = models.CharField(max_length=50,verbose_name='Nome')
navers = models.ManyToManyField('navers.Naver', related_name='projects')
user = models.ForeignKey('users.User',related_name='projects_list',on_delete=models.PROTEC... |
from functools import cached_property
class Clipboard:
""" The clipboard holds a url that should be copied and then pasted.
The url is expected to be stored in a token that has been created by
:meth:`onegov.core.request.CoreRequest.new_url_safe_token`.
The reason behind this is that the url is used t... |
import requests
resp = requests.get('http://www.google.com/pic')
#if resp.status_code != 200:
# This means something went wrong.
#raise ApiError('GET /tasks/ {}'.format(resp.status_code))
# for todo_item in resp.json():
# print('{} {}'.format(todo_item['id'], todo_item['summary']))
assert resp.status_code=... |
from builtins import *
aa_name3s = 'ala cys asp glu phe gly his ile lys leu met asn pro gln arg ser thr val trp tyr'.upper().split()
rif_atype_names = ('CNH2 COO CH1 CH2 CH3 aroC Ntrp Nhis NH2O Nlys Narg Npro OH ONH2 OOC S'.split() +
'Nbb CAbb CObb OCbb Hpol Hapo Haro HNbb VIRT CH0 HS NtrR SH1'.... |
#-*- coding: utf-8 -*-
import turtle
import math
import random
# 배경설정
screen = turtle.Screen()
screen.bgcolor("black")
screen.title("Turtle Run Ver.2")
# 가장자리 그리기
mypen = turtle.Turtle()
mypen.penup()
mypen.setposition(-300, -300)
mypen.pendown()
mypen.pensize(3)
for side in range(4):
mypen.forward(600)
mypen.le... |
import shutil, os
import ROOT
from array import array
import math
import pickle
import numpy as np
import copy
from TopEFT.Tools.user import combineReleaseLocation as releaseLocation
import re
def natural_sort(list, key=lambda s:s):
"""
Sort the list into natural alphanumeric order.
http://stackoverflow.c... |
A='!'+'"#$%&'+"'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~"
x = A.find(input())
if x in range (15,25):
print('YES')
else:
print('NO') |
import sqlite3
import csv
import os
import time
import traceback
import sys
from whine_classes import WhineBottle
import json
from os.path import join, dirname
from dotenv import load_dotenv
dotenv_path = join(dirname(__file__), '.env')
load_dotenv(dotenv_path)
# gebruiken we overal dus global
db_path = os.environ.... |
import sys
class Grader():
def calCulate(_self,g):
if int(g)>90:
return "A"
elif int(g)>80 and int(g)<90:
return "B"
else:
return "C"
def genCard(_self,g,name,a):
msg = str(name)
msg = msg+"@fullsail.edu"
msg = msg+"\nHere is your grade for "+str(a)+" assingment: "+_self.calCulate(g)
msg = ms... |
from django.contrib import admin # @UnresolvedImport
from .models import Shop, Item
# Register your models here.
admin.site.register(Shop)
admin.site.register(Item)
|
from django.db import models
from seller.models import Seller
# Create your models here.
class Marketplace(models.Model):
name = models.CharField(max_length=100)
document = models.CharField(max_length=20)
phone_number = models.CharField(max_length=20)
email = models.EmailField(max_length=200)
selle... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-04-06 21:43
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Hackers', '0002_auto_20160309_2244'),
]
operations = [
migrations.AlterField... |
'''Student Repository
Data repository of courses, students, and instructors
Author: Ming-Wei Hu
Last Updated: November 16th, 2020
'''
# Imports
from datetime import datetime, timedelta
from typing import Iterator, Tuple, List, Dict, Set, IO, Any, Callable, Optional
from decimal import Decimal, ROUND_HALF... |
"""
Refaça o desafio 035 dos triângulos, acrescentando o recurso de mostar que tipo de
triângulo será formado:
- Equilátero: todos os lados iguais
- Isóceles: dois lados iguais
- Escaleno: todos os lados diferentes
"""
r1 = int(input('Valor da reta 1: '))
r2 = int(input('Valor da reta 2: '))
r3 = int(input('Valor da re... |
from django.contrib import admin
from django.urls import path,include,re_path
from . import views
urlpatterns=[
re_path(r'catalog^$',views.catalog,name='catalog'),
] |
from tests.share.normalize.factories import (
Agent,
AgentIdentifier,
Article,
CreativeWork,
Institution,
Organization,
Patent,
Person,
Preprint,
Publication,
Tag,
ThroughTags,
WorkIdentifier,
)
from tests.share.normalize.factories import FactoryGraph
class TestShor... |
import threading, queue
import time
import zmq
import logging
import sys
import json
sys.path.append("")
from utils.logger import config_logger
# from logger import config_logger
class BasicThread(threading.Thread):
'''
This is BasicThread configuration that will be implemented
in middleware thr... |
#!/usr/bin/env python3
#
# Development Order #5:
#
# This is the meat and bones of the tool, where the actual desired
# commands or operation will be run. The results are then recorded
# and added to the 'results' JSON data, which will then be sent
# back to the test. Both system and api are able to be used here.
#
# s... |
import sys
sys.path.append('../DeepIV/experiments/')
import data_generator
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_context('notebook',font_scale=1.3)
t_grid_size = 1000
max_n = 7
x = np.concatenate([
np.tile(np.linspace(0,10,t_grid_size),max_n)[:,np.n... |
r= float(input("Enter Radius of a circle:"))
Area= 3.14*r*r
print("Area of circle is:",Area)
|
#break与continue语句：计算小于100的最大素数。
for n in range(100, 1, -1):
if n%2 == 0:
continue
for i in range(3, int(n**0.5)+1, 2):
if n%i == 0:
#结束内循环
break
else:
print(n)
#结束外循环
break
|
'''
Created on Sep 21, 2015
@author: Jonathan Yu
'''
def getMessage(original):
words = original.split(" ")
vowels = ["a", "e", "i", "o", "u"]
onlyVowels = True
message = ""
for word in words:
letters = list(word)
for k in range(len(letters)):
if letters[k] not in vowels... |
from django.urls import path
from . import views
urlpatterns = [
path('facilitator/dashboard/explore', views.facilitator_Dashboard_explore_courses_page, name="explorecourses"),
path('facilitator/dashboard/earnings/<int:pk>/', views.facilitator_Dashboard_myearnings_page, name="earnings"),
path('facilitator/... |
def tester(start):
state = start
def nested(label):
print(label,state)
return nested
if __name__ == '__main__':
F = tester(0)
print(F.__name__)
F('spam')
F('ham') |
in_file = open('input_2.txt', 'r')
# in_file = open('test_2.txt', 'r')
def split(line):
rules, v = line.split(': ')
range, char = rules.split(' ')
mini, maxi = map(int, range.split('-'))
return [mini, maxi, char, v]
def isValid(s):
mini, maxi, char, string = split(s)
return mini <= string.count(char) <= maxi
r... |
import time
from selenium import webdriver
import xlsxwriter
driver = webdriver.Firefox(executable_path=r"E:\geckodriver.exe")
loop_counter = 1
count = 0
url = "https://www.yellowpages.com.au/search/listings?clue=motorcycle+shop&locationClue=Victoria&lat=&lon="
category_name = input("Enter category name : ")
state_nam... |
import scraping
import os
from bs4 import ResultSet, Tag
def test_imports_request():
assert hasattr(scraping, 'requests'), \
"Import the requests library at the top of your scraping.py file"
def test_scraping_defines_url():
assert hasattr(scraping, 'url'), \
"Define a variable called `url` tha... |
import numpy as np
import matplotlib.pyplot as plt
plt.scatter(2, 4)
plt.show()
|
import numpy as np
from cs285.infrastructure.utils import convert_listofrollouts
class ReplayBuffer(object):
def __init__(self, max_size=1000000):
self.max_size = max_size
# store each rollout
self.paths = []
# store (concatenated) component arrays from each rollout
sel... |
#This file is part of the nodux_account_voucher_ec module for Tryton.
#The COPYRIGHT file at the top level of this repository contains
#the full copyright notices and license terms.
from decimal import Decimal
from trytond.model import fields
from trytond.pool import Pool, PoolMeta
__all__ = ['Move', 'Line']
__metacla... |
from mjxcommon import mjxvar
import os
cron_item_sync_sp = "10 * * * * python3 ~/sroot/bin/sync_srootpws.py sp"
subscrib_daemon = '10 * * * * python3 $SROOT/bin/check_and_start.py subscriber "python3 $SROOT/bin/mydistesys/subscriber.py all"'
distserver_daemon = '#10 * * * * python3 $SROOT/bin/check_and_start.py distse... |
import os
import dj_database_url
DEBUG = False
TEMPLATE_DEBUG = DEBUG
DATABASES = {
'default': dj_database_url.config(),
}
DATABASES['default']['OPTIONS'] = {
'autocommit': True,
}
# Sendgrid config
EMAIL_HOST = 'smtp.sendgrid.net'
EMAIL_PORT = 587
EMAIL_USE_TLS = True
EMAIL_HOST_USER = os.environ['SENDGRID_... |
"""User model"""
from sqlalchemy import Column, Integer, BigInteger, ForeignKey, DateTime, Float, VARCHAR
from models.db import Model
from models.base_object import BaseObject
class Initialsamples(BaseObject, Model):
id = Column(Integer, primary_key=True)
ItemNo = Column(Integer)
UserNo ... |
#! /usr/bin/env python
##########################################################################################
# PostColorTrack_MCHE470_Fall2013_cv2.py
#
# Script to process Mini-Project 3b videos
#
# Requires OpenCV
#
# Created: 11/2/13
# - Joshua Vaughan
# - joshua.vaughan@louisiana.edu
# - http://ww... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import itertools
from functools import reduce
def pi(N):
oddnumber = itertools.count(1, 2)
oddnumberPN = itertools.takewhile(lambda n: n < 2 * N, oddnumber)
return reduce(lambda x, y: x + y, list(map(oddmap, list(oddnumberPN))))
def oddmap(n):
if (n // ... |
# Generated by Django 2.2.2 on 2019-11-18 02:57
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('teachingtask', '0008_teachingtask_is_changed'),
('student', '0003_auto_20190924_1210'),
('skill_register', '... |
import pytest
from share.transform.chain.utils import contact_extract
@pytest.mark.parametrize('input_text, output_text', [
('Contact: Lisa Floyd-Hanna (Herbarium Curator); Becky McLemore (Collections Manager) (collections@naturalhistoryinstitute.org)', {'email': 'collections@naturalhistoryinstitute.org', 'name':... |
"""
this question is similar with q16.
please reference q16
""" |
#! /usr/bin/env python
# This script assumes the Category and Attribute Prediction benchmark
# is in the working directory, in a subdirectory called 'DATA', and
# completely uncompressed
import os
import sys
import random
import make_sample
LIST_CATEGORY_IMG_FILE = os.path.join('DATA', 'Anno', 'list_category_img.tx... |
class Solution:
def convertToTitle(self, n):
"""
:type n: int
:rtype: str
"""
result = []
while n != 0:
remainder = n%26
if remainder == 0:
result.insert(0, 'Z')
n = n//26-1
else:
resu... |
class Node:
"""
Класс для узла списка. Хранит значение и указатель на следующий узел.
"""
def __init__(self, value=None, next=None):
self.value = value
self.next = next
def __str__(self):
return str(self.value)
def __repr__(self):
return str(self.v... |
class Solution(object):
def flatten(self, root):
if not root:
return None
node = root
while node:
if node.left:
rightmost = node.left
while rightmost.right:
rightmost = rightmost.right
rightm... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import copy
import numpy as np
from torchvision import datasets, transforms
import torch
import random
from utils.sampling import mnist_iid, mnist_noniid, cifar_iid
from utils.op... |
# coding: utf-8
import re
import unicodedata
import MeCab
class Preprocess(object):
def __init__(self, dictionary_path, valid_posid, stop_words=None):
# wakati
self.mecab = MeCab.Tagger('-Odump -d ' + dictionary_path)
self.valid_posid = valid_posid
self.stop_words = stop_words
... |
# Generated by Django 2.2 on 2019-04-15 23:30
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('onlclass', '0017_bulletin'),
]
operations = [
migrations.AddField(
model_name='bulletin',
... |
"""Build doas common tests"""
import daos_build
def scons():
"""Execute build"""
Import('denv')
daos_build.test(denv, 'btree', 'btree.c',
LIBS=['daos_common', 'gurt', 'cart', 'pmemobj'])
daos_build.test(denv, 'btree_direct', 'btree_direct.c',
LIBS=['daos_common'... |
from ED6ScenarioHelper import *
def main():
# 格兰赛尔
CreateScenaFile(
FileName = 'T4131 ._SN',
MapName = 'Grancel',
Location = 'T4131.x',
MapIndex = 1,
MapDefaultBGM = "ed60014",
Flags = 0,
... |
from app.db import db
from app.models.entity import Entity
class Crag(Entity):
id = db.Column(db.Integer, db.ForeignKey('entity.id'), primary_key=True)
description = db.Column(db.Text)
blocks = db.relationship('Block', backref='crag', primaryjoin="(Crag.id==Block.crag_id)", lazy='joined')
area_id = db... |
from typing import List
import numpy as np
import tensorflow.keras.backend as K
from ucca4bpm.util.history import Epoch
class MaskedAccuracy:
def __init__(self, mask_input, name=None):
self._mask = mask_input
if name is None:
self.__name__ = MaskedAccuracy.__name__
else:
... |
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 13 18:50:07 2019
@author: Amirhassan
"""
# Deep Convolutional GANs
# Importing the libraries
from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
import torch.utils.data
import torchvision.datasets... |
#### Pereira Anthony #### Pierson Quentin ####
from random import *
import os
def initialiser_grille():
"""
initialise un tableau de 10x10 avec des -1
:return:tableau générer
:rtype:list
>>> initialiser_grille()
[[-1,-1,-1,-1,-1,-1,-1,-1,-1,-1],[-1,-1,-1,-1,-1,-1,-1,-1,-1,-1],[-1,-1,-1,-1,-1,-1,-1,-1,-1,... |
import copy
import json
from django_admin_json_editor import JSONEditorWidget
from django.utils.safestring import mark_safe
from django.template.loader import render_to_string
class JSONEditorWidget(JSONEditorWidget):
template_name = 'lanthanum/_json_editor_widget.html'
def render(self, name, value, attrs=N... |
# -*- coding: utf-8 -*-
#!/usr/bin/env python3
import re
def word_count(phrase):
phrase = re.sub(r'^[a-z0-9 ]',r'',phrase)
words = phrase.lower().split()
count = {}
for word in words:
w = str(word)
count[w] = count.get(word, 0) + 1
return count
|
import os
import math
import time
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction... |
from datetime import datetime
from django.db import models
class Category(models.Model):
name = models.CharField('カテゴリ名', max_length=255)
def __str__(self):
return self.name
class Post(models.Model):
title = models.CharField('タイトル', max_length=255)
text = models.TextField('本文', max... |
from data import polyvore_dataset, DataGenerator
from utils import Config
from model import MyModel
from tensorflow.keras.callbacks import ModelCheckpoint
import matplotlib.pyplot as plt
if __name__=='__main__':
if Config['Custom_model']:
name = 'Custom_model'
else:
name = 'Transfer_mod... |
import logging
from raven.contrib.django.raven_compat.models import client
from djangosaml2idp.views import IdPHandlerViewMixin
from django.conf import settings
from django.contrib.auth.mixins import LoginRequiredMixin
from django.core.exceptions import ImproperlyConfigured, PermissionDenied
from django.http import ... |
from flask import Flask, render_template, request, session, redirect, url_for, flash
#import db_builder
import populateDB
import functions#Contains functions to populate the database
from passlib.hash import sha256_crypt
import time
import sqlite3
import os
app = Flask(__name__)
app.secret_key = os.urandom(8)
##comm... |
class Solution:
def grayCode(self, n: int):
res = [0]
for i in range(n):
for j in range(len(res)-1,-1,-1):
res.append(res[j]+2**i)
return res
s = Solution()
f = s.grayCode(3)
print(f)
|
from locust import HttpLocust, TaskSet, task, between, ResponseError
class UserBehaviour(TaskSet):
@task(1)
def dive(self):
self.client.get("/dive-service/dives?diveId=860361450")
@task(2)
def diver(self):
self.client.get("/dive-service/divers?diveId=1")
@task(3)
def sms(self... |
# DOCUMENTATION ----------------------------------------------------------
'''
Description: Create function to retreive pdfs from web page
'''
# IMPORT LIBRARIES -------------------------------------------------------
# Python
import os
import pandas as pd
from bs4 import BeautifulSoup
from urllib.request import ... |
import sys
def readNetlist(file):
nets = int(file.readline())
inputs = file.readline().split()
inputs.sort()
outputs = file.readline().split()
outputs.sort()
# read mapping
mapping = {}
while True:
line = file.readline().strip()
if not line:
... |
class Cycle:
hour = 0
minute = 0
def __init__(self, h, m):
self.hour = h
self.minute = m
def getHour(self):
return self.hour
def getMinute(self):
return self.minute |
# -*- coding: utf-8 -*-
"""
Spyder Editor
"""
import numpy as np
import pandas as pd
from sklearn import linear_model
from sklearn.cross_validation import train_test_split
from sklearn.ensemble import RandomForestRegressor
from sklearn.linear_model import Lasso
from sklearn.linear_model import lasso_stability_path
fr... |
# !/usr/bin/python
# coding=utf-8
#
# @Author: LiXiaoYu
# @Time: 2013-10-17
# @Info: Epoll Server.
from Epolls.Server import Server
from Epolls.SocketParser import SocketParser
#当前状态码
_STATUS_CODES = 200
#创建服务端
def createServer(app=""):
return Server(app)
#发送请求
def send(socket_obj, command, body):
s = Socke... |
import re
'''
the sub func in re module is quite useful to implement many complicated replacement.
the second parameter can be a function which describes how to replace the matched pattern.
'''
class Solution(object):
def decodeString(self, s):
while '[' in s:
s = re.sub(r'(\d+)\[([a-z]*)\]',... |
#Programa: act10.py
#Propósito: clasificar unas circunferencias
#Autor: Jose Manuel Serrano Palomo.
#Fecha: 17/10/2019
#
#Variables a usar:
# x1,y1,x2,y2 y r1,r2 son los puntos de la circunferencia
# d es la distancia entre los centros de las circunferencias
#
#Algoritmo:
# LEER x1,y1 x2,y2 y r1,r2
# Calculamos d <-- (... |
"""
Functions for retrieving strings from files
"""
import os
def string_from_file(string, strip=True):
"""
Return an unaltered string or the contents of a file if the string
begins with @ and the rest of it points at a path.
If 'strip' is True, remove leading and trailing whitespace
(default be... |
from pypi_org.services import user_service
from pypi_org.viewmodels.shared.viewmodelbase import ViewModelBase
class IndexViewModel(ViewModelBase):
def __init__(self):
super().__init__()
self.user = user_service.find_user_by_id(self.user_id)
|
# sample_nine_a.py
import sys
import os
import platform
import wx
# class My_Frame
# class My_App
#-------------------------------------------------------------------------------
if os.name == "posix":
print("\nPlatform : UNIX - Linux")
elif os.name in ['nt', 'dos', 'ce']:
print("\nPlatform : Windows")
else... |
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