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from binascii import hexlify, unhexlify
from io import BytesIO
from .. import hashes, compact, ec, bip32, script
from ..networks import NETWORKS
from .errors import DescriptorError
from .base import DescriptorBase
from .miniscript import Miniscript
from .arguments import Key
class Descriptor(DescriptorBase):
def ... |
from django.db.models.functions import Coalesce, Lower
from products.models import Product
class Manager:
__query = None
__products = None
__products_output = []
def __call__(self, query):
self.__initialize(query)
self.__obtain_products()
self.__format_product_output()
... |
from tree import TreeNode
# Test inputs
lst = ['apple', 'ape', 'array', 'argon', 'advanced', 'Barry', 'Bee', 'Bat', 'Ball']
class Trie:
def implementation(self, lst):
self.tree = TreeNode(len(lst))
head_node = self.tree
letters_in_tree = []
for word in lst:
word = wo... |
import cv2
from PIL import Image
import numpy as np
def pil2cv(image):
''' PIL型 -> OpenCV型 '''
new_image = np.array(image, dtype=np.uint8)
if new_image.ndim == 2: # モノクロ
pass
elif new_image.shape[2] == 3: # カラー
new_image = cv2.cvtColor(new_image, cv2.COLOR_RGB2BGR)
elif new_image.... |
import numpy as np
import math
from data_loader import loader
import argparse
import time
def Merge_sort(A,p,r):
if p < r:
q = int(math.floor((p+r)/2))
Merge_sort(A,p,q)
Merge_sort(A,q+1,r)
Merge(A,p,q,r)
def Merge(A,p,q,r):
n1 = q-p+1
n2 = r-q
L = A[p:p+n1].copy()
... |
# Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file or at
# https://developers.google.com/open-source/licenses/bsd
"""Unittests for the projectexport servlet."""
from __future__ import print_function
from __fut... |
# -*- coding: cp1252 -*-
"""
Description:
Challenge CAMELYON16.
Script for pixel classification.
Authors: Vaïa Machairas, Etienne Decencière, Peter Naylor, Thomas Walter.
Creation date: 2016-02-24
"""
from optparse import OptionParser
import sys
import timeit
import pdb
import os
from getpass import getuser
imp... |
'''
Created on 18 Feb 2016
@author: Maxim Scheremetjew
'''
import mysql.connector
from mysql.connector import errorcode
class MySQLDBConnection:
"""Context manager class for oracle DB connection"""
def __init__(self, **config):
self.config = config
def __enter__(self):
try:
... |
import requests
import random
from bs4 import BeautifulSoup
from selenium import webdriver
from fake_useragent import UserAgent
options = webdriver.ChromeOptions()
options.add_argument('headless')
# change useragent
useragent = UserAgent()
options.add_argument(f'user-agent={useragent.random}')
url = 'ht... |
import pygame
from sprites.Ball import Ball
from sprites.Brick import Brick
from sprites.Paddle import Paddle
from threads.RankInput import RankInput
from threads.Webcam import Webcam
try:
from cv2 import cv2
except ImportError:
pass
import numpy
import sqlite3
import random
import time
# Adjustments
SCREEN... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-11-24 16:08
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('mainApp', '0037_auto_20171124_1823'),
('mainApp', '0034_review'),
]
operations = [
... |
#!/sw/bin/python3
"""Tool for marking newick-format-tree branches."""
import argparse
import sys
import re
__author__ = "Bogdan Kirilenko, 2018."
def eprint(msg, end="\n"):
"""Like print but for stderr."""
sys.stderr.write(msg + end)
def die(msg, rc=1):
"""Write msg to stderr and abort program."""
... |
import sys
import pandas as pd
import numpy as np
import multiprocessing as mp
import time
import datetime as dt
import adv_finance.sampling as sampling
from adv_finance.multiprocess import process_jobs_, process_jobs
# from adv_finance.sampling import get_ind_matrix, get_avg_uniqueness
def get_rnd_t1(num_obs, num_b... |
"""
"""
import time
start_time = time.time()
distict_powers = []
for a in range(2,101):
for b in range(2,101):
cache = a**b
if cache not in distict_powers:
distict_powers.append(cache)
print len(distict_powers)
print("--- %s ms ---" %int(round((time.time() - start_time)*1000)))
|
from .defaults import update_with_defaults
from .log_prob import get_log_prob
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import colors
from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
from starry_process import StarryProcess
from starry_process.latitude import beta2gauss, gaus... |
"""
Copyright (c) 2016 Keitaro AB
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
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dis... |
#imports
from flask import Flask, request, session, redirect, url_for, abort, render_template, flash
from models import Blog, User
from werkzeug.security import generate_password_hash, check_password_hash
from google.appengine.ext import db
import cgi
#configuration
DEBUG = True
app = Flask(__name__)
app.secret_ke... |
'''
InEfficient Implementation of Python Decorator Hacker Rank problem :
https://www.hackerrank.com/challenges/standardize-mobile-number-using-decorators/problem
'''
def wrapper(f):
def fun(l):
# complete the function
number = ''
length = 0
num_list = []
for number in l:
... |
import os
import json
import xmlrpclib
import SentimentAnalyzer as sentiment
from xml.dom.minidom import parseString
allComponents = []
allComponents.append('name')
allComponents.append('firstname')
allComponents.append('surname')
allComponents.append('email')
allComponents.append('address')
allComponents.append('phon... |
# -*- coding: utf-8 -*-
# Define your item pipelines here
from scrapy.exceptions import DropItem
class FilterWordsPipeline(object):
"""A pipeline for filtering out items which contain certain words in their
description"""
words_to_filter = ['company', 'Date']
def process_item(self, item, spider... |
#!/usr/bin/env python
#Written by PJ
import string
import flask
from flask import request, flash, jsonify, Flask, redirect, current_app
import requests
import json
from functools import wraps
from flask.ext.restful import Resource, Api
# import relevance
import pandas as pd
import numpy as np
import re
import math
fr... |
@pytest.fixture
def ff_pair():
ff0 = Forcefield.load_from_file(DEFAULT_FF)
ff1 = Forcefield.load_from_file(DEFAULT_FF)
# Modify the charge parameters for ff1
ff1.q_handle.params += 1.0
return ff0, ff1
def test_get_solvent_phase_system_parameter_changes(ff_pair):
ff0, ff1 = ff_pair
mol = f... |
# import time
#Insertion Sort
import random
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
plt.style.use('ggplot')
# start_time=time.time()
tim=[]
bst=[]
wrt=[]
avg=[]
for n in range(10,101,10):
tim.append(n)
avgarr=[random.randint(1,100) for i in range(n)]
bstarr=sorted(avgarr)
wrta... |
# coding=utf-
import logging
import pika
from pymongo import MongoClient
import time
import datetime
from settings import REQUESTS_QUEUE, MONGO_COLLECTION, MONGO_DB
def callback(ch, method, properties, body):
mongodb = MongoClient('mongodb', 27017)
db = mongodb[MONGO_DB]
collection = db[MONGO_COLLECTION... |
import os
import config
from base import *
class RapidXML(Base):
def __init__(self):
self.name = "rapidxml"
self.version = "1.13"
self.compilers = [config.COMPILER_MAC_GCC, config.COMPILER_MAC_CLANG, config.COMPILER_UNIX_GCC]
self.arch = [config.ARCH_M32, config.ARCH_M64]
... |
class Solution:
def stringMatching(self, words: List[str]) -> List[str]:
words.sort(key=len)
res = []
lps = [self._compute_lps(w) for w in words[:-1]]
for i in range(len(words)):
for j in range(i + 1, len(words)):
if self._kmp(words[i], words[j], lps[i]):
... |
from flask import Flask, render_template, flash, request, redirect, url_for
from flask_cors import CORS
from flask_wtf import FlaskForm
from flask_bootstrap import Bootstrap
from flask_wtf.recaptcha import RecaptchaField, Recaptcha
from flask_wtf.csrf import CSRFProtect
from wtforms import TextField, TextAreaField, Str... |
import os
import math
import csv
import datetime
from dateutil import rrule
import numpy as np
import pandas as pd
from numpy import random
from scipy.fftpack import fft, ifft
from federated import t_product
# 读取txt文件中的数据，处理成三元组列表形式[src,des,sec]
def TxtFileLoad(filepath):
DataLoad = []
max_id = -1
max_T =... |
# coding=utf-8
#
# This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Most of this work is copyright (C) 2013-2019 David R. MacIver
# (david@drmaciver.com), but it contains contributions by others. See
# CONTRIBUTING.rst for a full list of people who may hold cop... |
from django import template
from django.utils.safestring import mark_safe
register = template.Library() #register的名字是固定的,不可改变
# simple_tag可以多个参数，filter最多有2个参数
# 但是{% if %}后面只能是filter
@register.simple_tag
def my_add100_tag(value):
return value + 100
@register.filter
def my_add100_filter(value1, value2):
re... |
import argparse
import socket
HOST = '127.0.0.1' # The server's hostname or IP address
PORT = 1993 # The port used by the server
def main(key , value, wait=True):
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.connect((HOST, PORT))
input = 'STORE '+key+'='+value
s.... |
from django.db import models
from django.utils.translation import ugettext as _
from mptt.models import MPTTModel, TreeForeignKey
from django.utils.safestring import mark_safe
from core.abstract import (
ActiveModel,
DescriptionModel,
GeoModel,
HookModel,
NameModel,
SeoModel,
SlugModel,
... |
import os
from time import sleep
from textwrap import wrap
from room import Room
from player import Player
# from minimap.minimap import MiniMap # Importing from subdirectories
from item import Item
from item import Treasure
from item import LightSource
# Declare Global Items
items = {
'dandelions': Item('dande... |
import speech_recognition as sp
recog = sp.Recognizer()
with sp.Microphone() as source:
audioData = recog.listen(source) # 使用 listen() 方法將聲源存起來
try:
question = recog.recognize_google(audioData, language = 'zh-tw')
print(question)
except:
print("聽不懂...")
|
# Tweepy 3.10.0
import os
from dotenv import load_dotenv
import tweepy as tw
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import streamlit as st
from textblob import TextBlob
import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer
import re
# Authentication
load_dote... |
#!/usr/bin/env python
import os
from fabric.api import (
task,
local,
)
from datetime import datetime
from new7day import settings
DATABASES = settings.DATABASES['default']
@task
def manage(cmd):
local(
'python manage.py {cmd}'.format(cmd=cmd)
)
@task
def migrate():
'''
数据库迁移
'... |
import os
from lib.conf.config import settings #导入配置路径（实现自定义配置+默认配置的整合）
class Nic(object):
"""获取主机网卡信息"""
def __init__(self):
pass
#执行构造方法之前，可以加点其他操作，可有可无
#类似预留的钩子
@classmethod
def initial(cls):
return cls()
def process(self,command_func,debug):
# if debug:
... |
#정수형 int 실수형 float
x =2
y=4
p=10
q=3
A = x*y #A=8? A=8.0? 당연히 8이다
C = y/x
D= x ** y ** x #x의 y의 x승 이다 D=256? D=65536
print(C) #나누기는 소수점이 나와서 2.0 임 나눗셈은 정수에 대해 닫혀있지 않음
print("D=",D)
print('17을 3으로 나누면 몫이', 17//3 ,'이고','나머지가', 17%3,"이다")
def wow(x,y):
a = int(x // y)
b = int(x % y)
... |
from django.db import models
from django.utils.text import slugify
from django.shortcuts import reverse
from django.db.models import Q
from user_account.models import UserAccount
class Profile(models.Model):
user = models.ForeignKey(UserAccount,
on_delete=models.CASCADE,
... |
from django.contrib import admin
from df_goods.models import TypeInfo, GoodsInfo, Comment
class TypeInfoAdmin(admin.ModelAdmin):
list_display = ['id', 'ttitle']
class GoodsInfoAdmin(admin.ModelAdmin):
list_per_page = 15
list_display = ['id', 'gtitle', 'gprice', 'gunit', 'gkucun', 'gcontent', 'gtype']
... |
print(2 + 2)
print(50 - 5 * 6)
print((50 - 5 * 6)/4)
print(8/5)
print(5 ** 2) #5 squared
width = 20
height = 5 * 9
print(width * height) |
import os
Import('env')
env = env.Clone()
env.Append(LIBPATH = ['#../build/log'])
env.Append(LIBS = ['kulog', 'rt'])
env.Program('simple_log', Glob('simple_log.cpp'))
|
from flask import Flask, render_template
from bs4 import BeautifulSoup
import requests
base_url = "https://ngojobsinafrica.com/?post_type=noo_job&s=&location[]=ethiopia&category[]=information-technology"
source = requests.get(base_url).text
soup = BeautifulSoup(source, 'lxml')
all_information_technology_jobs = soup.f... |
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 09 11:28:29 2016
@author: utente
Pattern Analysis 2016
"""
import pandas as pd
import numpy as np
from functions_for_PA2016 import *
import matplotlib.pyplot as plt
import statsmodels.api
data = pd.read_excel("C:/Users/utente/Documents/PUN/Anno 2016_08.... |
import json
import pymysql
class OptionMysql(object):
def __init__(self, options):
host = options['HOST']
user = options['USERNAME']
password = options['PASSWORD']
database = options['DATABASE']
port = options['PORT']
charset = 'utf8'
# 连接数据库
self.co... |
# -*- coding: utf-8 -*-
# Martínez García Mariana Yasmin
print (34*3)-(1/2)*(9.81)*(3**2)#1/2 calcula la división entera
print (34*3)-(1/2.0)*(9.81)*(3**2)#1.0/2 o 1/2.0 división flotante
print (34*1)-(1/2.0)*(9.81)*(1*2)
print (34*1.5)-(1/2.0)*(9.81)*(1.5**2)
print (34*5)-(1/2.0)*(9.81)*(5**2)
v0 = 34
g = 9.81
t = 5
y... |
import scrapy
import json
from scrapy.http import Request
class movieSpider( scrapy.Spider ) :
name = "movit"
movie_name = "the_martian"
allowed_domains = [ "www.rottentomatoes.com" ]
#http://www.rottentomatoes.com/m/the_martian/reviews/
start_urls = [
"http://www.rottentomatoes.com/m/the_martian/reviews/"
]
... |
from django.conf.urls import url
from finder import views
urlpatterns = [
url(r'^inter-region/$', views.inter_region_lookup_view, name='inter_region_lookup_view'),
url(r'^single-type/$', views.SingleTypeLookupView.as_view(), name='single_type_lookup_view'),
]
|
import json
import array as arr
import sys
import glob
import errno
from time import sleep
import os
#import keyboard
nameofsong = ''
path = '/Users/alejandrasandoval/Desktop/usb/'
def getsong(songnum,count):
with open(json_arr[songnum]) as data_file:
data = json.load(data_file)
for p in data['trac... |
# Generated by Django 2.2.1 on 2019-05-28 08:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0004_auto_20190528_1720'),
]
operations = [
migrations.AlterField(
model_name='board',
name='created_date',
... |
import random
import generate_private_public
from elsig_hash import egGen
import RSA
Bob_id = 0
Alice_key = tuple()
Alice_id = 0
bob_n = 0
bob_e = 0
signed_m = ""
def key_id_Generation():
global Alice_id
Alice_id = random.randint(1000001, 10000000)
# to be from other ranges generated in cert (to be uniqu... |
# -*- coding:utf-8 -*-
import operator
import string
import operator
import itertools
import snowballstemmer
from textblob import TextBlob, Word
LOWER_MAP = {"tr": {ord("I"): u"ı"}}
STEMMERS = {
"en": snowballstemmer.stemmer("english"),
"tr": snowballstemmer.stemmer("turkish"),
}
def noun_phrases(text):
... |
# -*- coding: utf-8 -*-
"""
Created on Mon May 3 15:43:36 2021
@author: Nikita
"""
"""
First solution i've written was very similar to this; the major
difference was that it used slices and sum(slice), leading to
a complexity of O(n^3) likely.
Essentially,
for array_size in range (2,size):
for start_index in ... |
import sys
sys.path.append(".")
import argparse
from model.utils import str2bool, str2list
LOGGING_PATH = './logging'
parser = argparse.ArgumentParser(description="Model Options")
parser.add_argument(
"--run-identifier",
"-id",
dest="run_id",
type=str,
required=True,
help="Add an identifier th... |
#!python
import os
import numpy as np
import pandas as pd
import general_functions as gf
import argparse
import pdb
parser = argparse.ArgumentParser()
parser.add_argument('--trait', type=str, help='trait', default=None)
args = parser.parse_args()
OUT_DIR = os.environ['OUT_DIR']
## load trait condsigs
condsig = pd.read... |
import time
class LightControl:
def __init__(self, channel, pin):
self.channel = channel
def on(self):
return True
def off(self):
return True
def flash(self, time, count):
# if(not self.notPi)
for i in range(count):
self.on()
time.sl... |
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
import sys
import os
from random import randint
import datetime
import time
from multiprocessing import Pool, TimeoutError
from collections import defaultdict
from scipy.stats import chisquare
from mmgroup impo... |
from django import forms
from .models import Vote
class VoteForm(forms.ModelForm):
BOOLEAN_CHOICES = (('1', 'Ja'), ('0', 'Nej'))
positive = forms.ChoiceField(choices=BOOLEAN_CHOICES,
widget=forms.RadioSelect)
class Meta:
model = Vote
fields = ['positive'] |
from django.test import TestCase
# Create your tests here.
from .views import get_location_from_zip, search_location_in_sheet, get_response_for_help
from data.gsheets import get_gsheet
class ViewsTestCase(TestCase):
def setUp(self):
self.gsheet = get_gsheet()
def test_get_location_from_zip_invali... |
from google.cloud import storage as gcs
import csv
from numpy import genfromtxt
import requests
import tensorflow as tf
#get the bucket and blob containing the .csv data file
client=gcs.Client()
try:
bucket=client.get_bucket('parquery-sandbox')
except google.cloud.exceptions.NotFound:
print('Sorry, that... |
#/usr/bin/env python
from ctypes import *
###############################################################################
AT_NULL = 0 # End of vector
AT_IGNORE = 1 # Entry should be ignored
AT_EXECFD = 2 # File descriptor of program
AT_PHDR = 3 # Program headers for program ... |
from itertools import chain, combinations
# A class to encapsulate a Functional Dependency, and some helper functions
class FD:
def __init__(self, lhs, rhs):
self.lhs = frozenset(list(lhs))
self.rhs = frozenset(list(rhs))
def __str__(self):
return ''.join(self.lhs) + " -> " + ''.join(self.rhs)
def __eq__(self... |
import random
import string
import tkinter as tk
from tkinter import ttk
import pyperclip
def parameter_password():
entry.delete(0, 'end') # стирает сгенерированный пароль из окна ввода
length = var_1.get() # длина пароля
count = count_checkmarks()
password = generator_pass(length, count)
retur... |
import FWCore.ParameterSet.Config as cms
from PhysicsTools.NanoAOD.nano_eras_cff import *
from PhysicsTools.NanoAOD.common_cff import *
from PhysicsTools.NanoAOD.simpleCandidateFlatTableProducer_cfi import simpleCandidateFlatTableProducer
import PhysicsTools.PatAlgos.producersLayer1.muonProducer_cfi
# this below is ... |
"""
Machine Learning(기계 학습) -> Deep Learning(심층 학습)
training data set(학습 세트) / test data set(검증 세트)
신경망 층을 지나갈 때 사용되는 가중치(weight) 행렬, 편항(bias) 행렬을 찾는 게 목적
오차를 최소화하는 가중치 행렬을 찾아야 한다
손실(loss) 함수 / 비용(cost) 함수의 값을 최소화하는 가중치 행렬 찾기
손실 함수:
- 평균 제곱 오차(MSE: Mean Squared Error)
- 교차 엔트로피(Cross-Entropy)
"""
import numpy a... |
integer=int(input("enter an integer?\n"))
decimal=float(input("enter a float?\n"))
string=str(input("enter a string?\n"))
string2=eval(input("enter any type?\n"))
print("krishanth likes "+string);
|
from .. import init_blueprint, schedule_daily
bp = init_blueprint(__name__)
from . import routes, handlers
from .jobs import update_users_data
schedule_daily(update_users_data)
|
################################################################
# Reads in World Bank tariff data
################################################################
from pulp import *
import math
import json
import numpy as np
import re
from sys import exit
import matplotlib.cm as cm
import matplotlib.pyplot as plt
tr... |
from IPython.utils.tokenutil import line_at_cursor
from ipykernel.ipkernel import IPythonKernel
from jupytervvp.vvpsession import VvpSession, SessionException
from jupytervvp.flinksql import complete_sql
from IPython.core.magic_arguments import parse_argstring
from jupytervvp import VvpMagics
import json
def _do_fli... |
import sys
import ctypes
import re
import collections
import io
import json
def printf(fmt, *args, **kwargs):
print(fmt.format(*args, **kwargs), end='')
def printf_line(fmt, *args, **kwargs):
print(fmt.format(*args, **kwargs))
def printf_error(fmt, *args, **kwargs):
print("error:", fmt.format(*args, **k... |
import pygame
class Paddle(pygame.sprite.Sprite):
surface: pygame.Surface
velocity: pygame.Vector2
paddle_width: int
paddle_height: int
rect: pygame.Rect
oldrect: pygame.Rect
def __init__(self, surface: pygame.Surface, x: int, y: int) -> None:
super().__init__()
... |
from os import close
from tkinter import *
from tkinter import ttk
from tkinter import filedialog
import BeW
import sys
class Root(Tk):
def __init__(self):
super(Root, self).__init__()
self.title("Test")
self.minsize(800,600)
self.labelFrame = ttk.LabelFrame(self,text = "abrir")
... |
'''
Created on 15-Apr-2017
@author: rmaduri
'''
import matplotlib, sys
matplotlib.use('TkAgg')
from numpy import arange, sin, pi
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
from tkinter import *
master = Tk()
master.title("Hello World!"... |
#encoding:utf-8
__authors__ = ['"Wei Keke" <keke.wei@cs2c.com.cn>']
__version__ = "V0.1"
'''
# ChangeLog:
#---------------------------------------------------------------------------------
# Version Date Desc Author
#-----------------------------------------------------... |
import requests
from bs4 import BeautifulSoup
import csv
url = 'https://www.bilibili.com/ranking'
# 发起网络请求
response = requests.get(url)
html_text = response.text
print(html_text)
soup = BeautifulSoup(html_text, 'html.parser')
# 用来保存视频信息的对象
class Vidoe:
def __init__(self, rank, title, score, visit, up, up_id, u... |
# 生成种群
import random
from NSGA2.Filtpop import filtpop # 约束条件过滤
from NSGA2.Decodechrom import binary2decimal
def genepop(pop_size, genes_num, gene_length):
"""
生成二进制种群基因集合
:param pop_size:
:param gene_lenth:
:return:
"""
pop = []
while len(pop) < pop_size:
n = pop_size - len(p... |
import os
import json
from flask import Flask, request, url_for, redirect
from twilio.util import TwilioCapability
import twilio.twiml
from twilio.rest import TwilioRestClient
# Account Sid and Auth Token can be found in your account dashboard
ACCOUNT_SID = 'ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'
AUTH_TOKEN = 'YYYYYYYYYYYY... |
from collections import OrderedDict
import copy
import numpy
import torch
"""
`state_dict` or `nested_dict`?
When `torch.nn.Module` loads from state_dict, the keys in state_dict
contains prefix and parameter/buffer name. The prefix determines the
specific module to load the parameter/buffer. Meanwhile th... |
import flask
cv = flask.Flask(__name__)
@cv.route('/name')
def name():
return '<h1>Goldie Perlmann</h1>'
@cv.route('/pic')
def pic():
return 'picture'
@cv.route('/hobbies')
def hobbies():
return '<p></p>'
@cv.route('/skills')
def skills():
return '<p></p>'
if __name__ == "__main__":
cv.run() |
# APPROACH 1 : OPTIMAL SOLUTION
# Time Complexity : O(n*m), n: number of rows of the matrix, m: number of columns of the matrix
# Space Complexity : O(1), not considering the space of the matrix (else, O(n*m) - result holds all the elements of the matrix)
# Did this code successfully run on Leetcode : Yes
# Any problem... |
import requests
from bs4 import BeautifulSoup
class C1maps:
def __init__(self):
self.mprint = 0
self.dos = 0
self.s = ''
def getRusData(self):
vgm_url = 'https://1maps.ru/statistika-koronavirusa-v-rossii-i-mire-na-19-maya-2020-na-segodnyashnij-den/'
html_text = requests... |
class ContactInfo:
def __init__(self, name, phone,email):
self.name= name
self.email= email
self.phone =phone
def print_info(self):
print('{0}:{1}:{2}'.format(self.name,self.phone,self.email))
if __name__ == '__main__':
sanghyun = ContactInfo('박상현','seenlab@gmail.... |
import random
class ListGenerator:
@staticmethod
def listselect(data):
return random.choice(data)
@staticmethod
def listseed(seed, data):
random.seed(seed)
return ListGenerator.listselect(data)
@staticmethod
def listselected(numbers, data):
newlist = []
... |
#!/usr/bin/env python3
"""
:mod:`strain` -- title
========================================
.. module strain
:platform: Unix, Windows, Mac, Linux
:synopsis: doc
.. moduleauthor:: Qi Zhang <qz2280@columbia.edu>
"""
class EulerianStrain:
def __init__(self, v0: float, v: float):
self.v0 = v0
se... |
import nuke
import nukeSearcher
toolbar = nuke.menu('Nodes')
c = toolbar.addMenu('PP Tools', 'pptool.png')
c.addCommand('Nuke API Searcher', lambda: nukeSearcher.nukeSearcher(), '', icon='pptool.png')
|
from django.shortcuts import render
from django.http import HttpResponse
from django.views.decorators.http import require_GET
from .models import Grade
@require_GET
def get_all_grades_by_category_and_kind_id(request, category_id, kind_id):
grades = Grade.objects.filter(kind__category_id=category_id, kind_id=kind... |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# @Author : SUN FEIFEI
from selenium.webdriver.common.by import By
from app.honor.teacher.home.vanclass.object_page.home_page import ThomePage
from app.honor.teacher.home.vanclass.object_page.vanclass_paper_page import VanclassPaperPage
from app.honor.teacher.home.vanclas... |
from django.shortcuts import render,redirect,get_object_or_404
from django.contrib import messages
from django.core.paginator import EmptyPage,Paginator
from .models import *
from .forms import *
def List(request):
items=Report.objects.all()
print(items)
paginator=Paginator(items,10)
page=request.GET.ge... |
"""
A PySpark script that converts raster images to COGss.
Edit the settings at the top to tune how many concurrent images to process per machine.
Edit get_input_and_output_paths to return the input rasters mapped to their desired COG locations.
Edit gdal_cog_commands to modify any GDAL settings to make the COGs you wa... |
# -*- coding : utf-8 -*-
from __future__ import absolute_import
import requests
from celery_app import app
from celery.utils.log import get_task_logger
from env import SERVER_WEBHOOK_URL
from pprint import pprint
logger = get_task_logger(__name__)
@app.task
def trigger_webhook(data):
r = requests.post(SERVER_WE... |
"""
Contains methods for performing validation of learning models
"""
import time
from sklearn.model_selection import StratifiedKFold
from src.common import LABELS, FOLDS_COUNT
from src.common import SENTENCES
from src.data import dataset
from src.features.word_embeddings.word2vec_embedding import Word2VecEmbedding
fr... |
class SmoothProp(Optimizer):
def __init__(self, lr=1e-4, beta=0.9, l2=1e-5, epsilon=1e-6, *args, **kwargs):
super(SmoothProp, self).__init__(**kwargs)
self.__dict__.update(locals())
self.iterations = K.variable(0.0)
self.lr = K.variable(lr)
self.l2 = l2
self.beta = K.... |
#!/usr/bin/python
################################################################################
from test import *
from diamond.collector import Collector
from nagios import NagiosStatsCollector
################################################################################
class TestNagiosStatsCollector(Collec... |
# -*- conding utf-8 -*-
# 作者：彭静
# 开发时间:上午 11:35
# 开发工具:PyCharm
# 列表中的元素的类型可以不相同，支持数字，字符串，也可包含列表
# nameList = []#定义一个空的列表
nameList = ['小张','小王','小李']
# testList = [1,'测试']
#
# print(type(nameList[0]),nameList[0])
# print(type(testList[0]))
length = len(nameList)
# print(len(nameList))#获得列表长度
# for name in nameList:
#... |
class Node(object):
pass
def loop_size(node):
nodes = []
tail_node = None
while(not node in nodes):
nodes.append(node)
node = node.next
return len(nodes) - nodes.index(node)
node1 = Node()
node1.next = node1
print loop_size(node1) # 1
node1 = Node()
node2 = Node()
node1.nex... |
# -*- coding: utf-8 -*-
""" Custom Sizer for Cryptocurrencies, allowing for fractional orders.
"""
from common import *
import backtrader as bt
from decimal import Decimal, ROUND_DOWN
class CryptoSizer(bt.Sizer):
""" Custom Crypto Sizer.
"""
params = (
('stake', 0.1),
)
def _g... |
from flask import Flask
### Creates a WSGI application
# WSGI is a standard protocol we follow while communication between our web server
# and web application takes place
app = Flask(__name__)
# Initializing the Flask object will tell the Flask app to follow the
# WSGI protocol while communicating with the serv... |
#!/usr/bin/python3
import os, sys
sys.path.append(os.getcwd())
from Utilities import python_helpers
import fractions
def main():
# this solution is a little bit verbose in the number of variables and
# conditionals, but I've tried to be clear about how I arrive at the solution,
# rather than to write a t... |
import argparse
import numpy as np
from PIL import Image
from scipy import fftpack
import cv2
import os
import collections
from dahuffman import HuffmanCodec
import ast
def largest_N_value_DCT(img_dct, num_of_coefficients):
rows_1, cols_1, no_of_blocks = img_dct.shape[0], img_dct.shape[1], img_dct.shape[2]... |
__author__ = 'vladimir'
from re import match
from pymorphy2 import MorphAnalyzer
all = 0
nonnum = 0
all_postings = 0
alpha_postings = 0
no_stops_postings = 0
low_reg = dict()
lemmatized = dict()
with open("Dictionary") as f:
for line in f.readlines():
all += 1
word = line.split(" ")[0]
cnt... |
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