text stringlengths 38 1.54M |
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# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'WindowUI.ui'
#
# Created by: PyQt5 UI code generator 5.13.0
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainW... |
from django.shortcuts import render, redirect
# Create your views here.
from test_view.forms import ContactForm
from django.views.generic.edit import FormView
class ContactView(FormView):
template_name = 'test_view/contact.html'
form_class = ContactForm
# success_url = 'test_view/posted.html'
... |
from nltk.tokenize import sent_tokenize, word_tokenize
import nltk
from gutenberg.cleanup import strip_headers
import re
import heapq
# ref: https://stackabuse.com/text-summarization-with-nltk-in-python/
class Summarization(object):
# local variables
textSummary = ""
def __init__(self, text):
# pa... |
print('This program is all about for loop itration')
for a in '12345':
print(a)
for b in "hana afsal":
print(b)
c=10
d=11
for x in [1, 2, 3, 4]:
for y in [2, 3, 6, 7]:
# for getting coordinates
print(f"({x+1}, {y+10})") # print formatted string
for z in [[1, 2, 3], [8, 7, 6], [1, 5, 4, 2... |
import pandas
import numpy as np
import random
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem import PorterStemmer
import string
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_selecti... |
X = input()
def check(s):
if s == "":
return True
if s[0] in "oku":
return check(s[1:])
if s[:2] == "ch":
return check(s[2:])
return False
if check(X):
print("YES")
else:
print("NO") |
# -*- coding:utf-8 -*-
from helper import singleton
@singleton
class Configer:
a = 0
def make_redis_config(self, config):
a = config
pass
if __name__ == '__main__':
c1 = Configer()
c1.a = 10
print c1.a
c2 = Configer()
print c2.a
|
#Django code:
import json
def save_data(request):
if request.method == 'POST':
json_data = json.loads(request.body) # request.raw_post_data w/ Django < 1.4
try:
data = json_data['data']
except KeyError:
HttpResponseServerError("Malformed data!")
HttpResponse("Got json data")
def save_ev... |
#Imports the class information from the cashRegister class
import CashRegister
ADD_MONEY = "a"
REMOVE_MONEY = "r"
TRANSFER_MONEY = "t"
LOCK_REGISTER = "l"
UNLOCK_REGISTER = "u"
DISPLAY_STATE = "s"
CLOSE_STORE = "c"
OPTION_LIST = [ADD_MONEY,REMOVE_MONEY,TRANSFER_MONEY,LOCK_REGISTER,UNLOCK_REGIST... |
import numpy as np
import pyccl as ccl
import pytest
BEMULIN_TOLERANCE = 1e-3
BEMUNL_TOLERANCE = 5e-3
BEMBAR_TOLERANCE = 1e-3
def test_baccoemu_linear_As_sigma8():
bemu = ccl.BaccoemuLinear()
cosmo1 = ccl.Cosmology(
Omega_c=0.27,
Omega_b=0.05,
h=0.67,
sigma8=0.83,
n_s... |
import os
import torchvision.transforms as transforms
import torchvision.datasets as datasets
from torch.utils.data import DataLoader
class Data:
def __init__(self, args):
pin_memory = False
if args.gpus is not None:
pin_memory = True
scale_size = 299 if args.student_model.star... |
path('persona/new', views.new_persona, name='create_persona'),
nombre = models.CharField(max_length=30)
apellido = models.CharField(max_length=30)
tipodocumento = models.IntegerField(max_length=1)
documento = models.IntegerField(max_length=15)
residencia = models.CharField(max_length=100)
... |
#!/usr/bin/python
f = open('A-large.in', 'r')
o = open('output', 'w')
T = f.readline()
S = ""
out = ""
def insertRight (letter):
global out
out += letter
def insertLeft (letter):
global out
for x in range(len(S), 0):
out[x+1] = out[x]
out = letter + out[0:]
for x in range(1, int(T)+1):
S = f.next()
out ... |
#Finding an Observation's Nearest Neighbors
#load libraries
from sklearn import datasets
from sklearn.neighbors import NearestNeighbors
from sklearn.preprocessing import StandardScaler
#load data
iris = datasets.load_iris()
features = iris.data
target = iris.target
#create standardScaler
standardscaler = StandardScal... |
from mrjob.job import MRJob
class MRSpentByCustomers(MRJob):
def mapper(self, _, line):
(custid,itemid,amount) = line.split(',')
yield custid,float(amount)
def reducer(self,custid,amounts):
yield custid, sum(amounts)
if __name__ == '__main__':
MRSpentByCustomers.run() |
from utilities.config import db_config, finnhub_config, MAX_TRY
from utilities.postgres_utils import cursor, connection
from utilities.finnhub_utils import finnhub_connection
from utilities.stringio_utils import buildStringIO
from logging_conf import MyLogger
from datetime import timezone, date, timedelta, datetime
fro... |
#coding:utf-8
from flask import jsonify ,request
from . import api
import json
import os
from random import randint
@api.route('/eatwhat/', methods = ['GET'])
def eatwhat():
items = ['东一', '东二', '学子', '桂香园', '博雅园', '外卖']
item = items[randint(0, 5)]
return jsonify({
"location": item
})
|
def solution(K, A):
# write your code in Python 3.6
if len(A)<1:
return 0
count=0
cLength=0
for i in A:
cLength+=i
if cLength>=K:
cLength = 0
count +=1
return count
|
class Solution(object):
def addBinary(self, a, b):
"""
:type a: str
:type b: str
:rtype: str
给定两个二进制字符串，返回他们的和（用二进制表示）。
输入为非空字符串且只包含数字 1 和 0。
示例 1:
输入: a = "11", b = "1"
输出: "100"
"""
if len(a) < len(b):
a, b = b... |
from typing import List
class Solution:
def solve(self, board: List[List[str]]) -> None:
"""
Do not return anything, modify board in-place instead.
"""
if not board: return
rows = len(board)
cols = len(board[0])
dummy = rows * cols
p = {dummy: dummy}
for row in range(rows):
... |
class OldPhone:
__brand = ''
def setBrand(self, brand):
self.__brand = brand
def getBrand(self):
return self.__brand
def call(self, name):
print(f"正在给{name}打电话...")
class NewPhone(OldPhone):
def call(self, name):
print("语音拨号中...")
super().... |
def get_node_pool_oauth_scopes(oauth_scopes):
oauth_scopes_list = []
for scope in oauth_scopes:
oauth_scopes_list.append("https://www.googleapis.com/auth/" + scope)
return oauth_scopes_list
def generate_node_pools(cluster_properties):
node_pools_properties = cluster_properties.get("nodePools")... |
#!/usr/bin/env python
from setuptools import setup
from cron_conf import __version__
setup(
name='cron_conf',
version=__version__,
description='Cronf conf',
author='Sogeti AB',
author_email='supportwebb@sogeti.se',
classifiers=['License :: Other/Proprietary License'],
url='https://github.c... |
from django.db import models
from model_utils.models import TimeStampedModel
from api.models import Fleet, User, Machinery, Site
from api.models.tools import Tool
class FleetHistory(TimeStampedModel):
history_type_choices = (
('assignment', 'Assignment'),
('broken_down', 'Broken Down'),
(... |
# ------------------------------------------------------------
# Copyright (c) 2017-present, SeetaTech, Co.,Ltd.
#
# Licensed under the BSD 2-Clause License.
# You should have received a copy of the BSD 2-Clause License
# along with the software. If not, See,
#
# <https://opensource.org/licenses/BSD-2-Clause>
#
# ... |
# Generated by Django 3.1.2 on 2020-10-26 13:10
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='CoAuthorship',
fields=[
('id', models.AutoF... |
#!/usr/bin/env python3
from git import Repo
import re
import DingTalk
import sys
import os
def getLastCommit(path):
if not os.path.exists(path):
return
with open(path, 'r') as f:
content =f.read()
#re.match(r'^DVTSourceControlLocationRevisionKey$', content)
result = re.findall(... |
import matplotlib.pyplot as plt
import numpy as np
dense_path_length = np.loadtxt("dense_path_lengths.txt")
p5_rf1_path_length_matrix = np.loadtxt("p5/RF1_pl_matrix_lmbda1.txt")
p5_rf2_path_length_matrix = np.loadtxt("p5/RF2_pl_matrix_lmbda1.txt")
p5_rf3_path_length_matrix = np.loadtxt("p5/RF3_pl_matrix_lmbda1.txt")
... |
from django.test import TestCase
from django.test import Client
import json
from applications.images.factories import ImageFactory
from applications.images.models import Image
class TestImagesApi(TestCase):
def setUp(self):
self.client = Client()
super(TestImagesApi, self).setUp()
def test_i... |
# 2019/09/16
n=int(input())
a=sorted(list(map(int,input().split())))
cnt=0
res=set()
for e in a:
if e%2==0:
while not e&1:
e>>=1
res.add(e)
print(len(res))
# ↓高速でうごくの見つけた
# ABC019C - 高橋くんと魔法の箱
n=int(input())
a=list(map(int,input().split()))
res=set()
for i in a:... |
# coding=UTF-8
from django.forms.fields import CharField, SlugField
from django.forms.forms import Form
from django.forms.models import ModelForm
from JJEhr.lesson.models import Course
class AddCourseForm(ModelForm):
class Meta:
model = Course
class UpdateCourseForm(ModelForm):
class Meta:
... |
# Generated by Django 3.2.6 on 2021-08-28 12:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0004_auto_20210828_1758'),
]
operations = [
migrations.AlterField(
model_name='account',
name='is_active... |
# -*- coding: utf-8 -*-
# K-Nearest Neighbors (K-NN)
## Importing the libraries
import numpy as np
from numpy import savetxt
import matplotlib.pyplot as plt
import pandas as pd
import os
from os import path
import pickle
model_name = 'k_nearest_neighbors'
data_name = 'Breast_cancer_data'
"""## Training the K-NN mode... |
'''
Name & Student ID: Conall McCarthy, *********
Date: 20/02/18
Description: Assignment 11, Write a program that takes a file with each line being a row of a unsolved
sudoku puzzle, create a board, solve the sudoku puzzle using 2 functions (1. solveBoard and 2. isValidMove)
and print out a formatted board.
1.solveBoa... |
class Solution:
def maxProfit(self, prices: List[int]) -> int:
@cache
def dp(i:int) -> Tuple[int,int]:
"""Returns 1. Max profit after ith day. No stock hold, can buy.
2. Max balance after ith day. Holding a stock, can sell"""
if i < 0: return 0, -10**9
... |
import inspect
import numpy
import sklearn.metrics
from sklearn.preprocessing import LabelBinarizer
class BaseCalculator(object):
mapping = {}
def __init__(self, clf, X_test, y_test, *args, **kwargs):
self.clf = clf
self.X_test = X_test
self._binarizer = LabelBinarizer()
self... |
import unittest
import wethepeople as wtp
from wethepeople.objects import PetitionResponse, SignatureResponse
from wethepeople.objects import Petition, Signature
# No requests are made for this, this just silences the ua warning
# These Tests make sure that Nationstates obj keeps concurrent all object values
class... |
from domains.domainConstructors import SimpleMDP
def blockWorld(numOfBlockes, numOfSlots, initConfig, goalConfig):
return SimpleMDP() |
from django.urls import path
from .views import home, general, tecnologia, programacion, videojuegos, tutoriales, signup
urlpatterns = [
path('', home, name="index"),
path('general/', general, name='general'),
path('tecnologia/', tecnologia, name='tecnologia'),
path('programacion/', programacion, name=... |
from django.db import models
from django.contrib.auth.models import Group
from django.contrib.auth import get_user_model
from django.contrib.auth.hashers import make_password
from django.db.models.signals import post_save
from django.dispatch import receiver
User = get_user_model()
# 3rd party import
from PIL... |
import gym
import matplotlib
import numpy as np
from collections import defaultdict
from BlackjackEnv import BlackjackEnv
import plotting
import sys
if "../" not in sys.path:
sys.path.append("../")
def make_epsilon_greedy_policy(Q, epsilon, nA):
def policy_fn(observation):
A = np.ones(env.nA) * epsilon / nA
... |
# -*- coding: utf-8 -*-
"""
Author: zero
Email: 13256937698@163.com
Date: 2019-11-01
"""
import tushare as ts
from thctools import Technical
ts.set_token('24c7a5d5b40cd5db779cbc888ba4516d4be3384c0cf897caeaf2415b')
pro = ts.pro_api()
df = pro.query('daily', ts_code='603019.SH')
df = df.rename(columns={'trade_date': 'd... |
import subprocess
import sys
import requests
import json
import raidheroes_scraper as rs
import discord_poster as dp
import time
boss_code_map = {
'Massive Kitty Golem': 'golem',
'Vale Guardian': 'vg',
'Gorseval the Multifarious': 'gorse',
'Sabetha the Saboteur': 'sab',
'Slothasor': 'sloth',
'M... |
from PNS import *
#--- Create unmyelianted axon first
# Unmyelinated axon initialization parameter bunch
initBunch = Bunch()
initBunch.fiber_diam = 0.5 #[um]
initBunch.rho_a = 100.0 # axioplasmic resistivity [ohm-cm]
initBunch.rho_e = 500.0 # extracellular resistivity [ohm-cm]
initBunch.cm = 1.0 #... |
# -*- coding: utf-8 -*-
# @Time : 2019/11/20 10:17
# @Author : zxl
# @FileName: test.py
import pandas as pd
import numpy as np
arr=np.array([1,2,3,4])
b=np.reshape(arr,newshape=(-1,1))
print(arr)
print(b) |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Setting.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Setting(object):
def setupUi(self, Setting):
Setting.setObj... |
# -*- coding: utf-8 -*-
class Welcome_Meli():
lbl_titulo_id = "com.mercadolibre:id/home_onboarding_step_title"
lbl_subtitulo_id = "com.mercadolibre:id/home_onboarding_step_subtitle"
texto_mensaje_1 = "Libera tus ideas"
texto_subtitulo_1 = "Estás en el lugar perfect... |
def base_site(request):
"""
Inject few template variables that we need in base template.
"""
from django.conf import settings
context = {}
context['STATIC_URL'] = '/static/'
context['BASE_SIDEBAR'] = 'yui-t2'
if hasattr(settings, 'STATIC_URL'):
context['STATIC_URL'] = settings.... |
# as always we start with importing the libraries that we are going to need
# brandonrose.com/clustering
import re, nltk
from pandas import DataFrame
import numpy as numpy
# to conduct the analysis we are going to need afew other libraries
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metri... |
from algorithm import quick_sort
data = [5, 8, 3, 9, 0, 3, 6, 7]
print(data)
n_ops = quick_sort.sort(data)
print(data)
print("n_ops: %d" % (n_ops))
|
#! /usr/bin/env python
from __future__ import print_function, division
from collections import defaultdict
from copy import copy
"""
1. input color of current tile (0 = black, 1 = white) (all tiles start black)
2. program outputs color to paint tile (0 = black, 1 = white)
3. program outputs direction to turn (0 = 90d... |
import numpy as np # linear algebra
import os
import scipy.ndimage
import matplotlib.pyplot as plt
import SimpleITK as sitk
from skimage import measure, morphology
from scipy.ndimage.morphology import binary_dilation,generate_binary_structure
import pydicom as dicom
def load_scan(path):
#slices = [dicom.read_file(pat... |
def is_float(value):
try:
float(value)
return True
except:
return False
def str2pair(x):
nums = x.split(',')
if (is_float(nums[0])):
peso = float(nums[0])
llegada = int(nums[1])
return peso, llegada
def LeeGrafo(filename):
G = []
file = open(filename)
for li... |
__author__ = 'Daoyuan'
from BaseSolution import *
import math
class PerfectSquares(BaseSolution):
def __init__(self):
BaseSolution.__init__(self)
self.fuckinglevel = 9
self.push_test(
params = (9453,),
)
self.push_test(
params = (9975,)
)
... |
"""
cache spacy
@author: Carl Mueller
"""
from functools import partial
from cachetools import cached, Cache
from cachetools.keys import hashkey
import spacy
@cached(Cache(1), key=partial(hashkey, 'spacy'))
def load_spacy(model_name, **kwargs):
"""
Load a language-specific spaCy pipeline (collection of data, m... |
# -*- encoding: utf-8 -*-
# Shaolin's Blind Fury
#
# Copyright: Hugo Ruscitti
# Web: www.losersjuegos.com.ar
import pilas
import enemigo
import random
import golpe
class Estrella(enemigo.Enemigo):
"""Una estrella ninja que vuela intentando golpear al shaolin."""
def __init__(self, x, y, direccion, shaolin):
... |
"""
Reference:
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun.
Deep Residual Learning for Image Recognition.
arXiv:1512.03385 [cs.CV]
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun.
Identity Mappings in Deep Residual Networks.
arXiv:1603.05027 [cs.CV]
- F: residual function
- h: identit... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from stream import Stream
from peg import *
from grammar import Grammar
|
from twilio.rest import Client
import os
def schedule_message(message,number):
account_sid = 'ACc0418760bcc77f170e9210571dd1073b'
auth_token = '687af050011e5f8d04e13ca1ad96b79e'
client = Client(account_sid, auth_token)
number = str(number)
message = client.messages.create(
... |
__authors__ = 'Antonio Ritacco'
__email__ = 'ritacco.ant@gmail.com'
import numpy as np
import torch.nn as nn
import torch
# from torch_geometric.data import Data
from collections import defaultdict
from torch.nn.modules.distance import PairwiseDistance
from helpers import pairwise_distances
import networkx as nx
'... |
"""
Introduction of Tuples in python.
* It is immutable in nature.
* we can not change or add value of tuples
* we defined in ( )
"""
size = (2,4)
""" size[1] = 23 (TypeError: 'tuple' object does not support item assignment)"""
print(size[1]) |
import QSTK.qstkutil.qsdateutil as du
import QSTK.qstkutil.tsutil as tsu
import QSTK.qstkutil.DataAccess as da
import numpy as nu
import datetime as dt
import matplotlib.pyplot as plt
import pandas as pd
import os
class Portfolio:
#def equities = []
#def allocations = []
def __init__(self, equities,... |
1. Let _propKey_ be the result of evaluating |PropertyName|.
1. ReturnIfAbrupt(_propKey_).
1. Let _exprValueRef_ be the result of evaluating |AssignmentExpression|.
1. Let _propValue_ be ? GetValue(_exprValueRef_).
1. If IsAnonymousFunctionDefinition(|AssignmentExpressi... |
import glob
def read_files():
folders = ["binarytrees", "binarytreesredux", "chameneousredux", "redux",
"fasta", "fastaredux", "Include", "knucleotide", "mandelbrot",
"meteor", "nbody", "regexdna", "revcomp", "spectralnorm",
"threadring", "pidigits"]
# "... |
from django.shortcuts import render
from django.views.generic import TemplateView, ListView,ListView, DetailView,View
class OpenWeatherView(TemplateView):
template_name = "weather.html"
|
import string, re
class EncryptionMonitor:
'''
Class for Encryption Monitoring based on dm-crypt
'''
encryption = {'is_encrypted':"", 'cipher':""}
def __init__(self):
self.server = '150.162.63.32'
def get_encryption_info(self):
#Ubuntu default
log_pat... |
# Copyright Contributors to the Amundsen project.
# SPDX-License-Identifier: Apache-2.0
from flask import current_app as app
from amundsen_application.models.user import load_user, User
TEST_USER_ID = 'test_user_id'
def get_test_user(app: app) -> User: # type: ignore
user_info = {
'email': 'test@email.... |
import boto3
import botocore
def get_ddb_client():
dynamodb = boto3.resource('dynamodb', 'us-west-2')
table = dynamodb.Table('agg_count')
return table
def process_image(ddb, name, image):
key = {
'Id': image['Id']['S'],
}
if name == 'INSERT':
update_expression = 'SET alert_co... |
# -*- encoding: UTF-8 -*-
##############################################################################
#
# Odoo, Open Source Management Solution
# Copyright (C) 2015-Today Laxicon Solution.
# (<http://laxicon.in>)
#
# This program is free software: you can redistribute it and/or modify
# it under the t... |
#!/usr/bin/env python
__name__ = 'fconv_txt2gti'
__author__ = 'Teruaki Enoto'
__version__ = '1.00'
__date__ = '2018 June 7'
import os
import sys
import astropy.io.fits as pyfits
from optparse import OptionParser
from datetime import datetime
parser = OptionParser()
parser.add_option("-i","--inputfile",dest... |
import os
import csv
csv_data1 = os.path.join('raw_data','election_data_1.csv')
with open(csv_data1,'r') as csvfile:
csvreader1 = csv.reader(csvfile,delimiter=',')
for row in csvreader1:
totalVotes = sum(1 for row in csvfile) - 1
if row[2] = Roger:
totalRoger = count
if... |
# irgend nen zeugs importieren
from __future__ import division
import nltk, re, pprint
from nltk import word_tokenize
# oeffne Textdatei
f = open('test.txt', 'rU')
# lese Textdatei
raw = f.read()
# txt umwandeln damit nltk damit arbeiten kann
tokens = nltk.word_tokenize(raw)
text = nltk.Text(tokens)
# nltk methode ... |
# Generated by Django 2.0.7 on 2018-07-16 23:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('guide', '0005_auto_20180716_2351'),
]
operations = [
migrations.AlterField(
model_name='jeu',
name='genre',
... |
from TN import *
"""
####Algorithm ideas
Orthogonal question: when to stop trying paths
- when you can't find any more? Seems to use too many nodes
- when there is a single failure? Seems to work, but still uses too many nodes
- maybe s tries each neighbor once, then stops.
Optimal performance looks not-so-good at... |
# The only import you need!
import socket, requests, re, random, time
class TwitchBot:
def __init__(self):
# Options (Don't edit)
self.SERVER = "irc.twitch.tv" # server
self.PORT = 6667 # port
# Options (Edit this)
self.PASS = "oauth:Your Oauth" # bot password ... |
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, aliased
from sqlalchemy.orm.exc import NoResultFound
from threading import Thread
from werkzeug.exceptions import BadRequest
from sqlalchemy.exc import IntegrityError
from werkzeug.security import generate_password_hash,check_password_hash
im... |
"""
Solution to Codeforces problem 282A
Copyright (c) GeneralMing. All rights reserved.
https://github.com/GeneralMing/codeforces
"""
n = int(input())
x = 0
for i in range(0,n):
inp = str(input())
if('+' in inp):
x = x+1
else:
x = x-1
print(x) |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-03-03 16:27
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('shop_app', '0001_initial'),
]
operations = [
... |
from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
from tensorflow import keras
import tensorflow_datasets as tfds
tfds.disable_progress_bar()
import numpy as np
print(tf.__version__)
(train_data, test_data), info = tfds.load(
# Use the version pre-encoded... |
import numpy as np
files = ['train_data.in', 'eval_data.in']
cnt = 0
for filename in files:
with open(filename, 'r') as fin, open(filename + '.new', 'w') as fout:
for line in fin:
line = line.strip()
fout.write('__label__{}'.format(cnt))
fout.write('\t')
fo... |
# =======================================================================================
# helpers/adapters.py
# =======================================================================================
from . import morse_local_config as exp_settings
from morse.builder import Component
from morse.middleware.ros_reques... |
import os
import logging
import argparse
import json
import cv2
import progressbar
import numpy as np
from keras.models import load_model
import rle
from unet import preprocess
from ImageMaskIterator import ImageMaskIterator
from PIL import Image
from multiprocessing import Process, Queue
def get_model_uid(model_file... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 05 01:14:03 2017
@author: mheinl
"""
from google import search
import requests, re, getopt, sys
harvest = []
inputfile = ''
outputfile = 'harvest.txt'
googleSearchTerm = 'onion links'
help = '\nUsage: onion_harvester.py [options]\n'\
'Opti... |
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import unittest
class BaseTestFixture(unittest.TestCase):
driver = None
def setUp(self):
print("Running SetUp")
# declare chrome options
chrome_options = Options()
chrome_options.add_argumen... |
# 키보드 제어, 마우스 제어, 편의점 주소 크롤링
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
driver = webdriver.Chrome('chromedriver')
url = 'https://map.naver.com'
driver.get(url)
search = driver.find_element_by_css_selector('input#search-input')
# '씨유' 입력 후 ENTER키 작동
search.s... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 9 16:07:23 2019
@author: arnab
"""
from keras.models import model_from_json
from pathlib import Path
from keras.preprocessing import image
import numpy as np
from keras.applications import vgg16
import joblib
# Load the json file that contains t... |
import hashlib
GRAVATAR_URL = ("https://www.gravatar.com/avatar/"
"{hashed_email}?s={size}&r=g&d=robohash")
def create_gravatar_url(email, size=200):
"""Use GRAVATAR_URL above to create a gravatar URL.
You need to create a hash of the email passed in.
PHP example: https... |
"""
https://edabit.com/challenge/A8gEGRXqMwRWQJvBf
"""
def tic_tac_toe(ls: list) -> str:
a = ''.join((row[0] for row in ls if len(set(row)) == 1))
b = ''.join((row[0] for row in zip(*ls) if len(set(row)) == 1))
c = set([ls[0][0],ls[1][1], ls[2][2]])
d = set([ls[2][0], ls[1][1], ls[0][2]])
if len(a... |
class like_provider(object):
def insert_like(self, post_id, user_id ):
pass
def delete_like(self, post_id , user_id):
pass
def select_like_by_user(self, user_id):
pass
def select_like_by_post(self, post_id):
pass
|
from sklearn.datasets import fetch_california_housing
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
n_epochs = 10000
learning_rate = 0.001
housing_data = fetch_california_housing(data_home='D:\\学习笔记\\ai\\dataSets', download_if_missing=True)
data = housing_data.data
m, n = data.shape
housi... |
import XPLMCamera
controlCamera = XPLMCamera.XPLMControlCamera
dontControlCamera = XPLMCamera.XPLMDontControlCamera
isCameraBeingControlled = XPLMCamera.XPLMIsCameraBeingControlled
readCameraPosition = XPLMCamera.XPLMReadCameraPosition
ControlCameraUntilViewChanges = XPLMCamera.xplm_ControlCameraUntilViewChanges
Contro... |
# -*- coding: utf-8 -*-
from datetime import datetime
import pytest
from elasticsearch_dsl import A
from fiqs.aggregations import (
Avg,
Count,
DateHistogram,
DateRange,
Histogram,
ReverseNested,
Sum,
)
from fiqs.fields import FieldWithRanges, GroupedField
from fiqs.query import FQuery
fr... |
# -*- coding: utf-8 -*-
from mylib.web import BaseHandler, route
@route('/')
class IndexHdl(BaseHandler):
def get(self):
self.render('index.html',{"hint_info":self.hint_info}) |
from django.conf.urls import patterns, url
from core import views
urlpatterns = patterns('',
url(r'^$', views.ArticleListView.as_view(), name='article-list'),
url(r'^posts/(?P<slug>[-_\w]+)/$', views.ArticleDetailView.as_view(), name='article-detail'),
url(r'^categories/(?P<slug>[-_\w]+)/$', views.Catego... |
# coding=utf-8
# Fix error "ImportError: cannot import name 'cached_property' from 'werkzeug'"
import werkzeug
werkzeug.cached_property = werkzeug.utils.cached_property
from flask import Flask
from app.backend.database import db
from app.backend.database.models.oauth import security, user_datastore
from app.config ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 18 09:01:37 2019
@author: diogo
"""
import os
#to use the new IEX cloud change this value to 'iexcloud-v1' (is also the default)
os.environ['IEX_API_VERSION']='iexcloud-sandbox'
os.environ['IEX_TOKEN']='Tsk_df0426c99cc64421ac28ac2745944a03'
from ... |
import os
# os.environ.setdefault("SECRET_KEY", "'$(2@5_8ngk3y1k+y8)f8xkq$ahwu4+(l-86=optcp13%rs(r8x'")
os.environ.setdefault("SECRET_KEY", "'$(2@5_8ngk3y1k+y8)f8xkq$ahwu4+(l-86=optcp13%rs(r8x'")
os.environ.setdefault("EMAIL_ADDRESS", "commonholdproject@gmail.com")
os.environ.setdefault("EMAIL_PASSWORD", "Commonhold")
|
import cherrypy
import tornado
import tornado.web
import tornado.wsgi
# http://localhost:8080/examples/wsgi/tornado/?q=/hello
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.write("Hello, world")
app = tornado.wsgi.WSGIAdapter(tornado.web.Application([
(r"/hello", MainHandler),
... |
import numpy as np
import xgboost as xgb
from pomegranate import BayesianNetwork
import pandas as pd
from matplotlib import colors as mcolors
import seaborn as sns
colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS) # '#539caf' is a good color !
name = 'train_FD001.txt'
df = pd.read_csv(name, sep=' ', h... |
import xml.etree.ElementTree as et
def choropleth_svg(scores):
tree = et.parse('data/us_counties.svg')
root = tree.getroot()
root.set('type', 'image/svg+xml')
# Map colors
colors = ["#F1EEF6", "#D4B9DA", "#C994C7", "#DF65B0", "#DD1C77", "#980043"]
path_style = 'font-size:12px;fil... |
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