text stringlengths 8 6.05M |
|---|
def add():
a=35
b=65
c=a+b
print(c)
add()
def multiply():
d=2
e=2
f=d*e
print(f)
multiply()
def divison():
x=26
y=2
z=x/y
print(z)
divison() |
input = '109165-576723'
pass_limits = list(map(lambda x: int(x), input.split('-')))
pass_range = range(pass_limits[0], pass_limits[1]+1)
def is_valid(candidate):
candidate = str(candidate)
repeating_val = False
for x in range(len(candidate)-1):
if candidate[x] > candidate[x+1]:
return ... |
from django.contrib import admin
from .models import Atom, Particle
admin.site.register(Atom)
admin.site.register(Particle)
|
#!/usr/bin/python
# coding=utf-8
import urllib.request
# 通过urllib.Request()方法构造一个请求对象
'''
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8
Accept-Encoding: gzip, deflate, br
Accept-Language: zh-CN,zh;q=0.9,en;q=0.8
Cache-Control: max-age=0
Connection: keep-alive
Cookie: B... |
"""
In this problem, a tree is an undirected graph that is connected and has no cycles.
You are given a graph that started as a tree with n nodes labeled from 1 to n, with one additional edge added. The added edge has two different vertices chosen from 1 to n, and was not an edge that already existed. The graph is rep... |
def DNAtoRNA(dna):
""" dna_to_rna == PEP8 (forced camelCase by CodeWars) """
return dna.replace('T', 'U')
|
from base import *
import clsTestService
import enums
from selenium.webdriver.common.keys import Keys
class EntryPage(Base):
driver = None
clsCommon = None
def __init__(self, clsCommon, driver):
self.driver = driver
self.clsCommon = clsCommon
#==============================... |
import exceptions
class ConversionError(exceptions.Exception):
pass
class Converter(object):
def do_conversion(self, measure, timestamp):
pass
|
#String Concatenation
print ('I' + 'love' + 'Python')
first = 'I'
second = 'love'
third = 'Python.'
sentence = first + ' ' + second + ' ' + third + '.'
#Reapating Strings
print('-' * 10)
happiness = 'happy' * 3
print(happiness)
version = 3
print ('I love Python ' + str(version) + '.') |
loop1 = 0
while loop1 < 1:
print("\n******************* Python Calculator *******************")
loop2 = 0
while loop2 < 1:
print('\n')
print('Adição - 1')
print('Subtração - 2')
print('Multiplicação - 3')
print('Divisão - 4')
print('\n')
NumberAction =... |
import pandas as pd
import numpy as np
import collections
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import balanced_accuracy_score, classification_report, confusion_matrix, accuracy_score
from sklearn.model_... |
import sys
import json
import MySQLdb
u="rtluser"
p="rtlpass"
conn = MySQLdb.connect(host='localhost', user=u, passwd=p, db='rtlamr')
conn.autocommit(True)
db = conn.cursor()
while 1:
try:
line = sys.stdin.readline()
except KeyboardInterrupt:
break
if not line:
break
rec = ... |
#!/usr/bin/env python
# coding: utf-8
# # SONALI PATIL
# # Task 1 - Prediction using Supervised ML (Level - Beginner)
#
# In[25]:
# import all reuired libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')
# In[26]:
# Reading the ... |
from django import forms
class LoginUsers(forms.Form):
"""Class for login of students, teachers..."""
username = forms.CharField(label='Contrasena')
password = forms.CharField(widget=forms.PasswordInput, min_length=8, label='Usuario')
class AsesorLaboral(forms.Form):
choices_calificacion = (
(1, '1'),
(2, '2'... |
# file létrehozva
def teglalapKerulet():
a=float(input("Kérem a téglalap egyik oldalát[cm]:"))
b=float(input("Kérem a téglalap másik oldalát[cm]:"))
return float(2*(a+b))
def teglalapTerulet():
a=float(input("Kérem a téglalap egyik oldalát[cm]:"))
b=float(input("Kérem a téglalap másik oldalát[cm]:"))
return fl... |
#! /usr/bin/python
import cgi
import cgitb
cgitb.enable ()
form = cgi.FieldStorage ()
def fib (n):
if n <= 1: return 1
else: return fib (n-1) + fib (n-2)
print "Content-Type: text/html"
print
print """
<HTML>
<HEAD>
<TITLE>Python fibonacci</TITLE>
</HEAD>
<BODY>
"""
if "num" not i... |
import unittest
from value_objects import once
from value_objects.util.testing import eq
class OnceTestCase( unittest.TestCase ):
def test_once_example( self ):
'''
make sure properties decorated with @once are only computed once
'''
class Person( object ):
def __init__( s, age ):
... |
"""basic ding-dong bot for the wechaty plugin"""
from typing import Union
from wechaty import Message, Contact, Room, FileBox
from wechaty.plugin import WechatyPlugin
class DingDongPlugin(WechatyPlugin):
"""basic ding-dong plugin"""
@property
def name(self):
"""name of the plugin"""
retur... |
from datetime import time
lista_horarios = [time(x, y) for x in range(0, 24) for y in range(0, 60, 5)]
HORA = tuple([(x, x.isoformat()) for x in lista_horarios])
DEVOLUCION = (
("Lleno", "Lleno"),
("Mitad", "Mitad"),
("Vacio", "Vacio"),
)
|
import numpy as np
import matplotlib.pyplot as plt
def distance(x1, y1, x2, y2):
return (x2 - x1) ** 2 + (y2 - y1) ** 2
class Node(object):
def __init__(self, i):
self.index = i
self.left = None
self.right = None
self.up = None
self.down = None
class Graph(object):
... |
from PIL import Image
import json
def conv(img):
pix = img.load()
rdata = []
gdata = []
for y in range(16):
rvalue = 0
gvalue = 0
for x in range(32):
rvalue <<= 1
gvalue <<= 1
r,g,b = pix[x,y]
if r:
rvalue |= 0x01... |
"""
Faça um programa que receba um número e retorne o fatorial dele. O fatorial de
um número qualquer n é: n*(n-1)*(n-2)*(n-3)*....*1.
Exemplo:
Entrada Saída
2 2*1 2
3 3*2*1 6
9 362880
"""
#Solução
num=int(input())
fact=1
fo... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
* UMSE Antivirus Agent Example
* Author: David Alvarez Perez <dalvarezperez87[at]gmail[dot]com>
* Module: Intelligence Console client
* Description: This module implements Intelligence Console communication
*
* Copyright (c) 2019-2020. The UMSE Authors. All Rights... |
from lists.linked.linked_list import Node
from lists.linked.linked_list import LinkedList
import math
from trees.heap import *
#Sample Graph: http://techieme.in/breadth-first-traversal/
class Vertex:
sort_prop = 'val'
def __init__(self, val, edges = None, weights = None):
self.val = val
... |
# Generated by Django 3.2 on 2021-05-13 13:24
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('listy', '0001_initial'),
migrations.swappable_dependency(settings... |
#ISBNから書名、著者、出版時期を取得するモジュール
InputISBN = input()
if len(InputISBN) == 13:
ISBN_13 = InputISBN
print(ISBN_13)
elif len(InputISBN) == 10:
print("WIP")
# WIP 978 を追加して10->13変換するやつ
#DigitISBN = len(InputISBN) - 1
#for i in range(DigitISBN // 2):
#sum_even = sum(int(InputISBN[2 * i + 1 ]... |
from open_pension_crawler.OpenPensionCrawlSpiderBase import OpenPensionCrawlSpiderBase
class PsagotSpider(OpenPensionCrawlSpiderBase):
name = 'psagot'
allowed_domains = ['psagot.co.il']
start_urls = ['https://www.psagot.co.il/heb/PensionSavings/GeneralInformation/Pages/gemelcompanyreports.aspx']
regex... |
import json
dict1 = {'name': 'zengwenhai', 'age': 29}
json.dump(dict1, open('name.json', 'w'))
temp = open(r'C:\Users\Administrator\PycharmProjects\untitled1\day01\name.json', 'r', encoding='UTF-8')
print(temp) |
import RPi.GPIO as GPIO
import time
import network
SWITCH = 21
GPIO.setmode(GPIO.BCM)
GPIO.setup(SWITCH, GPIO.IN)
def heard(phrase):
print ("heard:" + phrase)
for a in phrase:
if a == "\r" or a == "\n":
pass # strip it
else:
if (GPIO.input(SWITCH)):
netw... |
#!/usr/bin/env python
from setuptools import setup, find_packages
setup(name='pyfedid',
version='1.0.0',
plateformes='UNIX',
description='Package for Decathlon FEDID',
packages=find_packages(),
packages_dir={'': 'pyfedid'},
author='Sylvain Lemoine',
author_email='sylvain.lem... |
from flask import request
from flask import Flask
import flask
import hashlib
from libs.thumbnail import *
from libs.fs import FS
from flask import request, Blueprint
from libs.util import make_response
from .authorization import require_auth
import logging
app = Blueprint('image', __name__)
def image_ext(content_ty... |
import re
import utils
import Dataset
import torch
import torch.utils.data
import torchvision
from engine import train_one_epoch, evaluate
from torch.utils.tensorboard import SummaryWriter
from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
# replace the classifier with a new one, that has
# num_cla... |
# -*- coding: utf-8 -*-
#
# Copyright 2015, 2016 Ramil Nugmanov <stsouko@live.ru>
# This file is part of PREDICTOR.
#
# PREDICTOR is free software; you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation; either version 3 of the ... |
#print("hello")
def check(a):
ln = len(a)
pindex=0
#print(a[::-1])
for i in range(len(a)):
for j in range(len(a)):
if i<j:
#print(a[i:j+1])
front = a[i:j+1]
#print(a[j:i-1:-1])
if i+1==j or i-1<=0:
if... |
import matplotlib.pyplot as plt
import numpy as np
import uncertainties.unumpy as unp
from scipy.optimize import curve_fit
from scipy import stats
from uncertainties import ufloat
#Monozelle
n1, U1 , I1 = np.genfromtxt('data/klemmspann_belastungsstrom.txt', unpack='True')#U in V, I in mA
I1 = I1*10**(-3)
def f1(m,x... |
from collections import deque
from abc import ABC, abstractmethod
class Scheduler(ABC):
"""
Describes a scheduling algorithm and keeps track of the statistics
concerned for evaluation.
"""
msg_warn = 'Scheduler internal state not fresh - are you sure you \
performed a reset?'
def __in... |
#!/usr/bin/python2
from copy import copy
import math
import rospy
import baxter_interface
import actionlib
import sys
from baxter_interface import CHECK_VERSION
from baxter_interface import Gripper, Limb
from geometry_msgs.msg import PoseStamped, Pose, Point, Quaternion
from sensor_msgs.msg import JointState
from s... |
from logger import Logger
from flask import Flask, render_template, request, make_response, Response, jsonify
import datetime
import json
import os
import shutil
logger = Logger().get_logger()
app = Flask(__name__)
@app.route("/")
def index():
return render_template('index.html')
@app.route("/re... |
#!/usr/bin/python
import math
def prime_factors(n):
try:
assert n > 1
except AssertionError:
print 'Enter an integer > 1'
return
factors = []
factor = 2
limit = int(n / 2);
while(factor <= limit):
if(n % factor == 0):
factors.append(factor)
... |
# Copyright (c) 2020 Adam Souzis
# SPDX-License-Identifier: MIT
import six
import collections
import re
import os
from .support import Status, Defaults, ResourceChanges, Priority
from .result import serializeValue, ChangeAware, Results, ResultsMap
from .util import (
registerClass,
lookupClass,
loadModule,
... |
# Copyright (c) 2017-2023 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from dazl.testing import SandboxLauncher, connect_with_new_party
import pytest
from .dars import DottedFields
@pytest.mark.asyncio
@pytest.... |
def treColorazione(grafo):
'''Restituisce un 3-colorazione di un grafo se esiste, altrimenti una lista
vuota.'''
def genera(sol, nodo):
# Se l'ultimo nodo è colorato si è trovata una colorazione completa.
if nodo == len(grafo): # foglia
return True
else: # nodo interno
... |
from django.apps import AppConfig
class FlightDelayPredictionConfig(AppConfig):
name = 'flight_delay_prediction'
|
from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('decades/', views.decade_list, name='decade_list'),
path('fads/', views.fad_list, name='fad_list'),
path('fads/new', views.fad_create, name='fad_create'),
path('decades/new', views.decade_crea... |
# -*- coding: utf-8 -*-
# @Time : 2019-12-27
# @Author : mizxc
# @Email : xiangxianjiao@163.com
import os
from flask import current_app, request, flash, render_template, redirect, url_for
from flask_login import login_required, current_user
from . import bpAdmin
from project.common.dataPreprocess import strLengt... |
# -*- coding: utf_8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import cv2
import argparse
import pickle
import nsml
import numpy as np
from nsml import DATASET_PATH
import keras
from keras.models import Sequential, Model
from keras.laye... |
import numpy as np
import cv2
import tensorflow as tf
from tensorflow.keras import backend as K
'''
Loading the Classifier Model from the disk
'''
with open('classifier_model.json', 'r') as json_file:
json_savedModel = json_file.read()
# load the model architecture
model = tf.keras.models.model_from_j... |
from gtts import gTTS
from tempfile import TemporaryFile
import base64
class Tts:
def __init__(self, s, lang):
self.tts = gTTS(s, lang)
def to_bytes(self):
temp = TemporaryFile()
self.tts.write_to_fp(temp)
temp.seek(0)
return temp.read()
def to_base64(self):
... |
# coding: utf-8
import os, zipfile
import numpy as np
from PIL import Image
def crop_center(img, crop_size=128):
"""
This function can crop center of image.
If image size is smaller than crop_size, image will be padded "0".
"""
if type(img) is np.ndarray:
img = Image.fromarray(np.uint8(... |
"""
Collection of utilities for basic statistical distribution
transformations.
"""
import numpy as np
from scipy.special import erfinv
from pyDOE import lhs
from scipy.stats.distributions import norm, uniform
def design_lhs_exp(variables, maps, offsets=None, samples=int(1e4),
project_linear=True... |
__all__ = [
'ResetIssueActivity',
]
from gim.core.tasks.issue import IssueJob
class ResetIssueActivity(IssueJob):
queue_name = 'reset-issue-activity'
def run(self, queue):
super(ResetIssueActivity, self).run(queue)
try:
self.object.activity.update()
except self.model... |
from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
from django.urls import reverse
from ckeditor.fields import RichTextField
class Post(models.Model):
title = models.CharField(max_length=100)
image = models.ImageField(null=True,blank=True,upload_to='MedBa... |
import sqlite3
from sqlite3 import Error
def create_connection(db_file):
conn = None
try:
conn = sqlite3.connect(db_file)
except Error as e:
print(e)
return conn ,conn.cursor()
def create_table(conn,cursor):
command = """CREATE TABLE IF NOT EXISTS accounts (
id integer PRIMAR... |
# -*- coding: utf-8 -*-
from django.shortcuts import render_to_response
from django.http import HttpResponse
from django.views.generic import View
from models import *
from cart import Cart
import json
from django.template import RequestContext
from robokassa.forms import RobokassaForm
from django.core.paginator import... |
import signal
import subprocess
import os
import time
class StateManager:
APP_DOWNLOAD_NAME = "temp-led-matrix-app/"
def __init__(self, app_parent_directory: str):
assert os.path.isdir(app_parent_directory), f"Parent direcory {app_parent_directory} doesn't exist"
self._app_directory = os... |
## BAGGING CLASSIFICATION
# Import models and utility functions
from sklearn.ensemble import BaggingClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
# Set seed for reproducibility
SEED = 1
# Split data into 70% t... |
import sys, string, math
a,bg, = map(int,input().split())
for i in range(max(a,bg), a*bg+1) :
if (i%a == 0) and (i%bg == 0) :
ans = i
break
print(ans)
|
# Usage: $ python3 get_comment_ratio.py /home/kevin/Desktop/sac-data/stats output.csv
# python3 get_comment_ratio.py <merged_files> <output_path>
#
# Merges all the extracted contribution per tag data into one single file.
__author__ = 'kevin'
import sys
import csv
import os
# RQ 1: Generate a csv file for ... |
#encoding:utf-8
from openpyxl import load_workbook
import os
base_dir=os.path.dirname(os.path.dirname(__file__))
data_path=os.path.join(base_dir,'data/ddt_data.xlsx')
class Get_message:
Cookie=None
Api=load_workbook(data_path)['api'].cell(1,2).value
TsestApi=load_workbook(data_path)['api'].cell(2,2).value
... |
from karel.stanfordkarel import *
"""
File: ExtensionKarel.py
-----------------------
This file is for optional extension programs.
"""
"""
An part of the extension, I made a program that allows karel to draw a STAR shape in any square world
"""
from karel.stanfordkarel import *
# pre: karel is facing east ready to... |
# Bài 05: Viết hàm
# def count_upper_lower(str)
# trả lại số lượng chữ cái viết hoa, số lượng chữ cái viết thường trong chuỗi str
s = input('Nhap chuoi: ')
def count_upper_lower(a) :
count_upper = 0
count_lower = 0
for i in s :
if 'A'<= i <='Z' :
count_upper +=1
if 'a... |
# coding: utf-8
#!/usr/bin/python
# THIS SCRIPT
# 1. LISTS ALL OF YOUR HOST NAMES FOR A SPECIFIC ACCOUNT_KEY
# 2. ALLOWS YOU TO SELECT A SPECIFIC HOST IN WHICH TO CREATE A NEW LOG
# 3. IT THEN PROMPTS YOU FOR A NEW LOG NAME
# 4. IT CREATES A LOG NAME UNDER YOUR SELECTED HOST
# REQUIREMENT - you must have your Loge... |
import math
import yfinance as yf
import matplotlib.pyplot as plt
class Index:
def __init__(self, index_ticker, date1, date2):
#variables
self.index_ticker = index_ticker
self.start_date = date1
self.end_date = date2
self.ticker_data = yf.Ticker(index_ticker)
#ge... |
# -*- coding: utf-8 -*-
'''
Crea un alumno en la base de datos.
PYTHONPATH="../../../python" python3 createStudent.py dni name lastname legajo
'''
from model.connection import connection
from model.users import users
from model.registry import Registry
import systems
import logging
def createStudent(con, dni... |
'''
The training time is too long with >=100 lines of poem.
Also, it gives low accuracy.
Maybe HMM is not suitable for classification when the number of symbols is too large.
'''
import sys
from multiprocessing import Process
import numpy as np
from google.colab import drive
from sklearn.utils import shuffle
from src... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import textwrap
import pytest
from pants.backend.java.compile.javac import rules as javac_rules
from pants.backend.java.dependency_inference import symbol_mapper as java_symbol_mapper
fro... |
# Copyright 2019, The TensorFlow Authors.
#
# 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 ... |
import importlib
import pkgutil
import aurora.drivers
def iter_namespace(ns_pkg):
# Specifying the second argument (prefix) to iter_modules makes the
# returned name an absolute name instead of a relative one. This allows
# import_module to work without having to do additional modification to
# the ... |
#! /usr/bin/env python
#-*- coding: utf-8 -*-
import socket
host='0.0.0.0'
port=50015
s = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
s.connect((host, port))
while 1:
cmd = raw_input("Please input cmd:")
s.sendall(cmd)
data = s.recv(1024)
print data
s.close()
|
# coding=utf-8
import sys
from ualfred import Workflow3, notify
log = None
def main(wf):
import pickle
from workflow import web
args = wf.args
query = pickle.loads(str(args[0]))
log.debug('test')
url = 'https://api.caiyunapp.com/v2/' + wf.get_password('apiKey') + '/' + query[4] + ',' + query[5] + '/'
if quer... |
# How many numbers below 10,000 are Lychrel, i.e. do not collapse into palindromes by adding them with their reverses after 50 iterations?
# ====================================================================================
# This is nice for thinking about palindromes:
def compute():
ans = sum(1 for i in range(10... |
def trailingZeroesInFact(num):
count = 0
i = 5
while(num//i>0):
count = count + num//i
i = i*5
return count
num = 100
print(trailingZeroesInFact(num)) |
# print("나는 %d 살입니다." % 24)
# print("나는 %s 이고 %d 살입니다" %("홍길동", 24))
# print("나는 {} 이고 {} 살입니다" .format("홍길동", 24))
# print("나는 {1} 이고 {0} 살입니다" .format("홍길동", 24))
#print("나는 {name} 이고 {age} 살입니다" .format(name = "홍길동", age = 24))
text = """
오늘의 온도는 {0:>10}도 이고, 습도는 {1:<10}도 입니다.
내일의 온도는 {2:^10}도 이고, 습도는 {3:-^10}도... |
f1,f2=[int(x) for x in raw_input().split(" ")]
n=input()
def fseq(i):
if i==1:
return f1
elif i==2:
return f2
else:
return fseq(i-1)-fseq(i-2)
print (fseq(n)%1000000007) |
from picamraw import PiRawBayer, PiCameraVersion
from ..constants import RAW_BIT_DEPTH
def as_rgb(raw_image_path):
""" Extracts the raw bayer data from a JPEG+RAW file and converts it to an
`RGB Image` (see definition in README).
Args:
raw_image_path: The full path to the JPEG+RAW file
R... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__version__ = '1.0.1'
import ujson
from sanic.request import Request
from sanic.log import logger
from web_backend.config import SALT
from web_backend.nvlserver.module.user.service import get_user_by_id
from web_backend.nvlserver.module.permission.service import (
get... |
class WordCounter(dict):
def add(self, word):
if word not in self:
self[word]=1
else:
self[word]+=1
return self[word] # return the new count
def get(self, word):
rc = 0
if word in self:
rc = self[word]... |
import os
import glob
from mpl_toolkits.basemap import Basemap
import numpy as np
import matplotlib.pyplot as plt
import hdr_writer as hdr
def draw_map(input_file, pft = False, fun = 'mean'):
dt = hdr.catch_data(input_file, 12, 120, 160)
mask = dt == -9999.0
dta = np.ma.masked_array(dt, mask)
... |
#!/usr/bin/env python
#coding:utf8
from . import analysis
from analysis.analyse import AnalyseUtils
from flask import render_template, request
from models import NodeUtils, LinkUtils
# 通过指定路由，返回渲染html页面
# 客户端的URL直接在链接里面
@analysis.route('/demo_force',methods=['GET','POST'])
def demo_force(projectId):
return rend... |
#!/usr/bin/env python
import subprocess
import sys
import argparse
import glob
import os
def call_process(cmd):
print("cmd: %s" % cmd)
child = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = child.communicate()
if child.returncode != 0:
print("Failed: %s: %s" % (cmd,... |
from __future__ import division
from __future__ import print_function
import sys
import os
import torch
import numpy as np
from torch.autograd import Variable
from collections import OrderedDict
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
import ... |
import datetime
fname = "test.py.log"
print(f"Append a line to {fname}")
with open(fname, "a") as file:
file.write(str(datetime.datetime.now()))
file.write("\n")
|
from django.test import override_settings
from colossus.apps.campaigns.tests.factories import EmailFactory, LinkFactory
from colossus.apps.lists.tests.factories import MailingListFactory
from colossus.apps.subscribers.constants import ActivityTypes
from colossus.apps.subscribers.models import Subscriber
from colossus.... |
# -*- coding: utf-8 -*-
print("hello")
print("some basic of python")
'''DATA TYPE
Text Type: str
Numeric Types: int, float, complex
Sequence Types: list, tuple, range
Mapping Type: dict
Set Types: set, frozenset
Boolean Type: bool
Binary Types: bytes, bytearray, memoryview
-----'''
#-------------------------------... |
import requests
import csv
from bs4 import BeautifulSoup
from csv import writer
import re
def textFinder(href):
return href and re.compile("/text").search(href)
searchResults = requests.get('https://www.congress.gov/bill/116th-congress/senate-resolution/316?q=%7B%22search%22%3A%5B%22air+pollution%22%5D%7D&s=1... |
import pandas as pd
import re
from datetime import date
import os, glob
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
today = date.today()
root_directory = 'pandemicmap/data/rki_files'
def load_df():
#file_list = os.listdir('pandemicmap/data/rki_files/')
list_of_files =... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
# TODO: Implements IPv4 option list extractor.
import collections
import datetime
# Internet Protocol version 4
# Analyser for IPv4 header
from .ip import IP
from ..utilities import Info, ProtoChain
# TOS (DS Field) Precedence
TOS_PRE = {
'111': 'Network Control... |
from django.shortcuts import render, redirect
from django.views import View
from .forms import UserForm
from django.contrib.auth import logout
def index(request):
if request.user.is_authenticated:
return redirect('account:index')
return render(request, 'home/home.html')
class UserFormView(View):
... |
Root /
folder ~
.cd - current directory
.pwd - previous working directory (shows absolute path, from root directory to where you are now)
.mkdir - make directory
.ls - list
. (dot) stands for current directory
..(dot dot) will list structure of the parent directory
to make a file: touch
These are common Git command... |
from keras.datasets import mnist
from keras import models
from keras import layers
from keras.utils import to_categorical
# The Simplified Big Picture of How Most Supervised Networks Work
# The Just of It
# [1] Draw a batch of training samples x and corresponding targets y.
# [2] Run the network on x (a step c... |
import os
import zipfile
import pandas as pd
import pytest
from pandas.testing import assert_frame_equal
from powersimdata.network.usa_tamu.constants.zones import abv2state
from prereise.gather.demanddata.nrel_efs.get_efs_data import (
_check_electrification_scenarios_for_download,
_check_path,
_check_tec... |
"""
Tests for mimic identity (:mod:`mimic.model.identity` and
:mod:`mimic.rest.auth_api`)
"""
from __future__ import absolute_import, division, unicode_literals
import json
from twisted.trial.unittest import SynchronousTestCase
from twisted.internet.task import Clock
from mimic.canned_responses.auth import (
ge... |
# -*- coding: UTF-8 -*-
'''
@author: leochechen
@summary: ctf framework运行过程中会出现的异常
'''
class FrameworkException(RuntimeError):
'''
框架异常
'''
pass
class CTFRuntimeException(Exception):
'''
CTF流程运行时会出现的异常
'''
pass
class VarAbort(CTFRuntimeException):
'''
用例运行异常
'''
pas... |
# building a translator
from translate import Translator
translator = Translator(to_lang="ja")
text = ''
try:
with open('translation_file.txt', 'r') as f:
text = f.read()
translation = translator.translate(text)
print(translation)
except FileNotFoundError as err:
print("file Not foun... |
import cv2
import numpy as np
class PolarHeightFilter:
@staticmethod
def filterHeight(inputImage, threshold = 30):
'''
filter the area whose height is less than the threshold
'''
height = inputImage.shape[0]
width = inputImage.shape[1]
blackColor = np.zeros((1, ... |
import time
import numpy as np
import matplotlib.pyplot as plt
import os
import pandas as pd
import glob
import re
from pupil_parse.preprocess_utils import config as cf
from pupil_parse.preprocess_utils import extract_session_metadata as md
def main():
(raw_data_path, _, processed_data_path, figure_path, simul... |
#Hash 就是把任意长度的输入，通过散列算法，变成固定长度的输出
#简单来说就是将任意长度的输入压缩到某一固定长度
#hash的值要求必须固定，hash值必须是不可变的
#所以列表是不可能被hash的
hash((1,2,3))
print(hash((1,2,3)))
#hash([1,2,3])会出错
|
import math
import torch
from torch import nn
from torch.nn import functional as F
import numpy as np
import neural_network as mm
from neural_network import tf, tint
from replay_buffer import ReplayBuffer
from envs import AtariEnv
from rainbow import DQN
parser = argparse.ArgumentParser()
parser.add_argument("--lea... |
def accum(s):
return '-'.join(str.title(a * i) for i, a in enumerate(s, 1))
|
# coding: utf-8
from sklearn.feature_extraction.text import TfidfVectorizer
from nltk.tokenize import word_tokenize
from nltk.stem import RSLPStemmer
import string
import numpy
class LSA:
def __init__(self, ngram_max, min_freq, p_eig, phrases):
self.ngram_max = ngram_max
self.min_freq = min_freq
... |
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