text stringlengths 38 1.54M |
|---|
pessoas = [['Joao', 10], ['Leandro', 27]]
for p in pessoas:
print(f'O {p[0]} tem {p[1]} anos de idade') |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
from flask_migrate import Migrate
from config import Config
db = SQLAlchemy()
mi = Migrate()
ma = Marshmallow()
def create_app(config=Config):
app = Flask(__name__)
app.config.from_object(Config)
db.init_... |
import pandas as pd
from anytree import NodeMixin, RenderTree
from abc import ABC, abstractmethod
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from sklearn.preprocessing import OneHotEncoder, LabelEncoder
import numpy as np
class DataTypes:
BOOLEAN = 1
INTEGER = 2
FLOAT = 3
STRING = ... |
from ..desktop import ConfigManager
import unittest
class TestConfigManager(unittest.TestCase):
def setUp(self):
self.c: ConfigManager = ConfigManager("test_data/cfg.json")
def test_intime(self):
self.c.setProperty("a", 5)
cfg = ConfigManager("test_data/cfg.json")
self.a... |
from numpy import*
v = array(eval(input("Vetor:")))
i = 0
while (i < size(v)):
if(v[i]%2 != 0):
v[i] = 0
i = i + 1
print(v) |
list=[]
for i in range(123,568):
if i%5==0 or i%6==0:
list.append(i)
print(list)
print(len(list))
print("sum= ",sum(list))
|
from snippet_analyser import SnippetAnalyser
from snippet_matcher import SnippetMatcher
from snippet_analysis_helper import LanguageMode
import os
class SnippetController:
def __init__(self, snippet, task_arguments, task_comment, language_mode=LanguageMode.python, debug=False):
self.task_arguments = task_... |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... |
from django.apps import apps
from djangobmf.settings import CONTRIB_EMPLOYEE
from djangobmf.settings import CONTRIB_TEAM
def user_add_bmf(user):
"""
Adds ``djangobmf_employee`` and ``djangobmf_teams`` to the given
user instance.
"""
if not hasattr(user, 'djangobmf_employee'):
try:
... |
##encoding=utf-8
"""
This module is to teach you the basic use of wordsegmentation/tokenize (句子分词)
What is tokenize?
tokenize is to split sentence into word tokens and punctuations.
For example: I like obama. => ["I", "like", "obama", "."]
"""
from __future__ import print_function
from pprint import pprint
... |
from pypboy import BaseModule
from pypboy.modules.items import weapons
from pypboy.modules.items import apparel
from pypboy.modules.items import aid
from pypboy.modules.items import misc
from pypboy.modules.items import ammo
class Module(BaseModule):
label = "ITEMS"
GPIO_LED_ID = 16
def __i... |
# -*- coding: utf-8 -*-
import unittest
from mongoengine import NotUniqueError
from utils import AnellaTestCase
from anella.common import *
from anella.model.user import User
__all__ = ('UserTest', )
class UserTest(AnellaTestCase):
def test_user_save(self):
user = User(email='pepe@i2cat.net', auth_id... |
from typing import List
from arg.qck.decl import QKUnit
from cache import load_from_pickle
# Unfiltered candidates from top BM25
def load_qk_candidate_train() -> List[QKUnit]:
return load_from_pickle("perspective_qk_candidate_train")
# Unfiltered candidates from top BM25
def load_qk_candidate_dev() -> List[QKU... |
import shutil
from tqdm import tqdm
import numpy.random as npr
import numpy as np
import random
import glob
import cv2
import PIL.Image as Image
import os
from threading import Thread,currentThread
from multiprocessing import cpu_count
cnt=0
class MyWorker(Thread):
def __init__(self,imagelist,tgt,offset):
... |
"""
NOTE: This file is currently FUBAR. Do not look at this for anything meaningful!
"""
import numpy as np
from gridworld import *
from mdp_solver import *
from sample_utils import sample_niw
class Observation(object):
def __init__(self, episode, state, reward, reward_stdev, goal = False):
self.episode = ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#PIN configuration
pinOutControl = 40
pinPIR = 38
trigSR04 = 35
echoSR04 = 37
#Global Parameters
lengthCM_SR04 = 15 #距離SR04在幾公分以內, 才認定為正開始使用照護系統
timeLasted_SR04 = 5 #有人站在SR04面前持續了幾秒後, 才認定為要始用照護系統
nextWelcomeTimer = 60 #上次Welcome之後, 至少要隔多久才能再Welcome
#speakerName = ["B... |
#! /usr/bin/env python
import unittest
from sha2 import *
class SingleSHA256(unittest.TestCase):
def setUp(self):
self.f = sha256
def test_empty(self):
self.assertEqual(self.f('abc').hexdigest(),
'ba7816bf8f01cfea414140de5dae2223b00361a396177a9cb410ff61f20015ad')
# ba... |
"""The Quality-time data model."""
from .meta.data_model import DataModel
from .metrics import METRICS
from .scales import SCALES
from .sources import SOURCES
from .subjects import SUBJECTS
DATA_MODEL = DataModel(scales=SCALES, metrics=METRICS, sources=SOURCES, subjects=SUBJECTS)
DATA_MODEL_JSON = DATA_MODEL.json(exc... |
import os
import sys
### Other Python Libraries
import itertools
import pdb
from operator import itemgetter
import multiprocessing as mp
### MST Imports
from .NAC_Graph import NAC_Graph
from .Kruskal_Class import Kruskal_MST as MST
### imports
import Core.Solvers.SAA.SAA_NAC as SAA_NAC
def NAC_Generator(Uncertain_... |
# Generated by Django 3.2 on 2021-05-24 09:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0003_auto_20210524_0857'),
]
operations = [
migrations.AddField(
model_name='user',
name='passcoord',
... |
import httplib, urllib
import json
import uuid
P9SERVER = 'localhost:8080'
class APIException(Exception):
pass
import webrtc
config = {
iceServers: [
{ "url": "stun:stun.l.google.com:19302" },
{ "url": "stun:stun.services.mozilla.com" },
]
};
c... |
#!/usr/bin/env python
import os,sys
import MySQLdb
import string
import re
from optparse import OptionParser
DBNAME = "postfix"
DBUSER = "aliaser"
# trick to read keyfile from same dir as actual script, even when called via symlink
keyfile = os.path.dirname(os.path.realpath(__file__))+"/postfix_alias.key"
f = open(ke... |
import json
json_data = {}
def readjson(file_path):
f = open(file_path)
line = f.readline()
# print(line)
f.close()
array = json.loads(line)
return array
def readlist(index):
return json_data[str(index)]
json_data = readjson("json.txt")
# for i in range(0, nt):
# print(readlist(i))... |
from bs4 import BeautifulSoup
import requests
import re
import requests_cache
def obter_pagina(link,links):
html = " "
try:
if permitido(link,links):
response = requests.get(link)
print("Baixando: %s" %link)
links.append(link)
html = BeautifulSoup(respons... |
print("--------------Replacing a string from the sentence--------------\n")
sentence = input("Enter a sentence:")
final_output = sentence.replace('python', 'pythons')
print(final_output) |
class Stack:
def __init__(self):
self.stack = []
self.len_stack = 0
def push(self, e):
self.stack.append(e)
self.len_stack += 1
def pop(self):
if not self.empty():
self.stack.pop(self.len_stack - 1)
self.len_stack -= 1
de... |
##By replacing the 1st digit of *3, it turns out that six of the nine possible
##values: 13, 23, 43, 53, 73, and 83, are all prime.
##By replacing the 3rd and 4th digits of 56**3 with the same digit, this 5-digit
##number is the first example having seven primes among the ten generated numbers,
##yielding the famil... |
# Generated by Django 3.0.7 on 2020-06-30 00:27
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0018_auto_20200629_0314'),
]
operations = [
migrations.RemoveField(
model_name='records',
na... |
# coding: utf-8
"""
对svn命令的包装
"""
import commands
import traceback
from tyserver.tyutils import tylog
try:
from lxml import etree
except:
tylog.error("import etree error")
def svnCmd(workingpath, cmd, *svnArgs):
tylog.debug('svnCmd <<| workingpath, svnCmd, svnArgs:',
workingpath, cmd, '... |
#encoding=utf-8
import codecs
import batcher
import data
from collections import namedtuple
bin_path = "/home/bigdata/active_project/run_tasks/query_rewrite/stable/stable_single/copy_data_format/chunked/train*"
vocab_path = "/home/bigdata/active_project/run_tasks/text_sum/data/vocab/vocab.txt"
data_generater = data.ex... |
import os
import csv
#find the file we want to read
file_path = os.path.join('Resources', 'budget_data.csv')
#declare everything before connecting to file
total_months = 0
past_total = 0
net_profits_loss = 0
greatest_increase = 0
greatest_decrease = 0
#create empty list to store data
total_change = []
date = []
#ope... |
import math
class Solution(object):
def countBits(self,num):
"""
:param num:
:return: List[int]
"""
if num==0:
return [0]
num_1s=[0]*(num+1)
for i in range(num+1):
binarys = bin(i)[2:]
print binarys
num_1 = 0
... |
from pymongo import MongoClient
import re
import datetime
collection_json = [
{
"col_name" : "ticket_goods",
"count" : 0,
"list": ""
},
{
"col_name" : "ticket_man",
"count" : 0,
"list": ""
}
]
collection_arr = ["ticket_goods", "ticket_man"]
# 방법1 - URI
m... |
"""Abstract base class from some SciUnit unit test cases"""
from sciunit import TestSuite
from sciunit.tests import RangeTest
from sciunit.models.examples import UniformModel
class SuiteBase(object):
"""Abstract base class for testing suites and scores"""
def setUp(self):
self.M = UniformModel
... |
# Generated by Django 2.0.3 on 2018-05-31 06:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('SRTP', '0005_auto_20180531_0551'),
]
operations = [
migrations.AlterField(
model_name='srtp',
... |
# -*- mode: python -*-
import os
from openal.al_lib import lib
import platform
from ctypes.util import find_library
from ctypes import CDLL, c_void_p, c_int, c_char_p, byref, cast, POINTER, Structure
import PyInstaller.depend.bindepend as bd
block_cipher = None
# Assumes that the libraries under Linux a... |
# -*- coding: utf-8 -*-
import sys
from easykiwi import KiwiClient
# pylint: disable=invalid-name
body = ' '.join(sys.argv[1:]) or '___'
client = KiwiClient()
with client.connect('127.0.0.1') as comm:
# send message with different sender and subject
# listen by two subscriber
sendr = 'bob.jones'
s... |
def isAnagram(s, t):
# s1
# return sorted(t) == sorted(s)
# s2
# if len(s) != len(t):
# return False
# setS = dict()
# setT = dict()
# for i in range(len(s)):
# if (s[i] in setS):
# setS[s[i]] = setS[s[i]] + 1
#... |
import urllib2
import json
import matplotlib.pyplot as plt
def getUser(username):
"""
function getUser parses json page with user information
returns page content in string format
"""
url = "http://forum.toribash.com/tori_stats.php?username=%26%2312579%3B"+username+"&format=json"
response = url... |
# Generated by Django 3.2.5 on 2021-07-12 04:54
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('bank', '0002_transfers'),
]
operations = [
migrations.RenameModel(
old_name='transfers',
new_name='transfer',
... |
from django.contrib import admin
from django.db.models import Count
from drf_api_logger.utils import database_log_enabled
if database_log_enabled():
from drf_api_logger.models import APILogsModel
class APILogsAdmin(admin.ModelAdmin):
def added_on_time(self, obj):
return obj.added_on.str... |
#!/usr/bin/env python
import re
import struct
import subprocess
import sys
def getsyms(fname):
rgx = re.compile("([0-9a-f]+) T idt_entry_0x([0-9a-f][0-9a-f])")
ret = {}
out = subprocess.check_output("$NM %s" % fname, shell=True)
for line in out.split("\n"):
mtch = rgx.match(line)
if mtc... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import logging
import os
import time
import mshoot
# Set up logging
logging.basicConfig(filename='mpc_case3.log', filemode='w', level='DEBUG')
# Random seed
np.random.seed(12345)
# Paths
ms_file = os.path.join('examples', 'bs2019', 'measurements... |
import os.path
import util.io
import util.preprocessor
# import util.postprocessor
import build as main
def out_name(inp, lang):
n, ext = os.path.splitext(inp)
if main.cfg.preserve_paths:
return os.path.join(main.cfg.out, os.path.relpath(n) + util.fmt_ext(lang.out_extension))
else:
return ... |
# -----------------------------
# File: Main
# Author: Yiting Xie
# Date: 2018.9.10
# E-mail: 369587353@qq.com
# -----------------------------
import gym
import numpy as np
import argparse
from agent_dqn import Agent,process_observation
'''
ENV_NAME = 'MsPacman-v0' # game name
EPISODES = 15000
ISTRAIN = Tr... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2017-09-18 12:55
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('accounts', '0006_auto_20170918_1252'),
]
operations = [
migrations.RemoveField(
... |
from processCamFrame import processCamFrame
import numpy as np
def getPaperCoor(cap, paperScrnMat):
# read video frame
_, frame = cap.read()
# get the current white blob centroid
cX, cY = processCamFrame(frame)
if cX == 0 and cY == 0:
return (0,0)
else:
# find the nearest point that can be mapped to
di... |
import streamlit as st
from PIL import Image
import pickle
import numpy as np
pickle_in = open("forest_model1.pkl", "rb")
model = pickle.load(pickle_in)
def main():
img=Image.open('Billboard_Hot_100.jpg')
img=img.resize((267,176))
st.image(img, use_column_width=False)
st.title("BillBoard Hit Predictor... |
import numpy as np
def get_likelihood_singledataset(x,y,err_y,m,q):
L1 = 1
for err_y_i in err_y:
L1 = L1 * (1/(2*np.pi*err_y_i**2))**0.5
lnL1 = np.log(L1)
L2 = 0
for x_i,y_i,err_y_i in zip(x,y,err_y):
model_i = m*x_i + q
L2 = L2 + 0.5 * ((y_i - model_i)**2/err_y_i**2)
lnL = lnL1 - L2
... |
fileName = r'D:\Python\05Example\log02.txt'
str = 'Name:Lee Jack(李吉凯) \nPhoneNumber（手机号码）:13600173445\n' #str类型
mem = str.encode('gbk').decode('iso-8859-1') #byte类型
with open(fileName,'w', encoding='iso-8859-1') as f:
f.write(mem)
print('写入成功！')
|
from Preprocessing import *
import matplotlib.pyplot as plt
dir = 'C:/Users/user/switchdrive/Wristband Comparison/Signals/'
######## E4 ###########################################################
# Read the raw file and create a file in the directory related to te session (e.g session 1 , 2 ,..) only with Time and EDA... |
'''思路是，每次添加一个岛屿的时候，我们就更新union find里的parent的记录，并且假设多了一个额外的岛屿count++
然后只有当这个岛屿相邻的四个方向上存在岛屿，才会trigger union的操作，将这些岛屿连在一起，count--
[0, 0]
'''
class UF():
def __init__(self, m, n):
self.parent = [-1] * (m * n)
self.size = [0] * (m * n)
self.count = 0
self.mRows = m
self.nCols = n
... |
"""
The ledger_closed method returns the unique
identifiers of the most recently closed ledger.
(This ledger is not necessarily validated and
immutable yet.)
"""
from dataclasses import dataclass, field
from xrpl.models.requests.request import Request, RequestMethod
from xrpl.models.required import REQUIRED
from xrpl.... |
# Generated by Django 3.1.3 on 2020-12-10 07:30
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('notesapp', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='notes',
old_name='createdtime',
... |
# coding=utf-8
# Copyright 2020 The TF-Agents 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... |
# -*- coding: utf-8 -*-
"""
Created on Tue Jan 7 22:12:07 2020
@author: ingrida grigonyte
"""
def get_message(msg):
msgs = {
'msg_1': 'Érvénytelen bemenet!',
'msg_2': 'Kérem, írjon be egy számot!',
'msg_3': 'Kérjük, csak arab vagy római számot írjon be!',
'msg_4'... |
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__),'..')))
from src import utils
class WeatherAlertTrigger:
def __init__(self,
json_dict=None,
event_id=None,
severities=None,
zones=None,
... |
import numpy as np
from agent import BaseAgent
from abc import ABCMeta, abstractmethod
class ReplayBuffer:
def __init__(self, size, minibatch_size, seed):
"""
Args:
size (integer): The size of the replay buffer.
minibatch_size (integer): The sample size.
seed (... |
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 2 23:12:08 2018
@author: Ramesh
"""
import pandas as pd
import numpy as np
#Import cds data file
data1 = pd.io.stata.read_stata('/Users/ramesh/Desktop/cds_spread5y_2001_2016.dta')
# convert cds data to csv file
data = data1.to_csv('/Users/ramesh/Desktop/cds... |
list(map(lambda x: (5/9)*(x-32),F_temps))
#nâo da para executar esse comando pois não fiz ele completo,eu usei ele só para
#entender como funciona map() no lambda.
|
# RDMA PD Configuration Spec
meta:
id: MR_RDMA
# This count is initialized to 1000 for RTL runs
count : 16
useAdmin : True
|
# -*- coding: utf-8 -*-
"""
Created on Tue May 12 20:27:19 2020
@author: slothfulwave612
Python module for i/o operations.
Modules Used(3):-
1. pandas -- data manipulation and analysis library.
2. datetime -- Python library for datetime manipulation.
3. json -- Python library to work with JSON data.
"""
import pand... |
class Solution:
def maxScore(self, s: str) -> int:
zeros = 1 if s[0] == '0' else 0
ones = s[1:].count('1')
ans = zeros + ones
n = len(s)
for c in range(1, n-1):
if s[c] == '0':
zeros += 1
else:
ones -= 1
ans... |
#!/usr/bin/python3
import requests
def retrieve_xml(url="", method="get", params=""):
method = method.lower()
if method == "get":
r = requests.get(url, params)
return r
if method == "post":
pass
if method == "put":
pass
if method == "delete":
pass
... |
# 2019/08/09
n,m=map(int,input().split())
cnt=min(n,m//2)
m-=cnt*2
n-=cnt
if m//4>0:
cnt+=m//4
print(cnt)
|
#!/usr/bin/env python
# Handle all globals variables
def init():
# -----------------------------------------------------------------------------
# Setting GPIO allocation
global SERB_TOGGLE_BEC
SERB_TOGGLE_BEC = 24
global SERB_TOGGLE_GIMBAL
SERB_TOGGLE_GIMBAL = 23
global SERB_TOGGLE_LIGH... |
"""
7. По длинам трех отрезков, введенных пользователем, определить возможность
существования треугольника, составленного из этих отрезков. Если такой
треугольник существует, то определить, является ли он
разносторонним, равнобедренным или равносторонним.
"""
storona1 = int(input('Введите длину стороны 1: ', ))
storon... |
import datetime
import hashlib
import json
from flask import Flask, jsonify, request
import requests
from uuid import uuid4
from urllib.parse import urlparse
# PART 1 ----------------------------------------------------------
# Building the blockchain
class Blockchain:
def __init__(self):
self.chain = []
... |
# Group Anagrams
# https://leetcode.com/problems/group-anagrams/
# 애너그램은 문자열을 재배열해서 다른 뜻을 가진 단어로 바꾸는 것을 말한다.
# 애너그램을 판별하는 방법은 정렬하여 비교하는 것이 가장 간단해 보인다. 정렬하는 방법은 sorted 함수를 사용해 준다.
# 정렬되어 나온 값은 리스트 형태이기 때문에 join 으로 합쳐서 이 값을 키로 딕셔너리를 만들어 준다.
# 만약 없는 키를 넣어줄 경우 keyerror가 생겨 에러가 나지 않도록 defaultdict()으로 정리하고,
# 매번 키 여부를 확인하지 ... |
#!/usr/bin/env python
# notify_celery is referenced from manifest_delivery_base.yml, and cannot be removed
from app import notify_celery, create_app
application = create_app('delivery')
application.app_context().push()
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 20 20:49:04 2017
@author: mmonforte
Next, implement the function getGuessedWord that takes in two parameters -
a string, secretWord, and a list of letters, lettersGuessed.
This function returns a string that is comprised of letters and underscore... |
import random
random.SystemRandom()
items=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]
thumon=random.sample(items,1)
print('Thu mon:',thumon)
items2=list(set(items)-set(thumon))
hauve=random.sample(items2,4)
print('Hau ve:',hauve)
items3=list(set(items2)-set(hauve))
tienve=random.sample(items3,4)... |
def sum_of_nested_list(x):
if len(x) == 0:
return 0
else:
if isinstance(x[0], list):
return sum_of_nested_list(x[0]) + sum_of_nested_list(x[1:])
else:
return x[0] + sum_of_nested_list(x[1:])
print(sum_of_nested_list([1,2,3,[4,5]])) |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#plot total wall clock time to complete AFNI_data6 https://afni.nimh.nih.gov/pub/dist/doc/htmldoc/background_install/unix_tutorial/misc/install.data.html
# s01.ap.simple
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
#MacBook i5-8259U
#Ubuntu... |
import sys
import os
if not os.path.exists('Public'):
os.makedirs('Public')
if not os.path.exists('External'):
os.makedirs('External')
allFiles = set()
for root, directories, filenames in os.walk('Sources/'):
for filename in filenames:
# Matching only header files
if not filename.lower(... |
import random
import numpy as np
import nn
import copy
from collections import deque
class QLearn:
def __init__(self, puzzleSize, epsilon, alpha, gamma):
# exploration factor between 0-1 (chance of taking a random action)
self.epsilon = epsilon
# learning rate between 0-1 (0 means never u... |
#!/usr/bin/python
'''
DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
Version 2, December 2004
Copyright (C) 2013 Saurabh Dingolia <dinsaurabh123@gmail.com>
Everyone is permitted to copy and distribute verbatim or modified
copies of this license document, and changing it is allowed as ... |
"""
EJERCICIO 10
El programa tiene que pedir la nota de 15 alumnos
y sacar por pantalla cuantos han aprobado y cuantos
han suspendido.
"""
cant_aprob = 0;
cant_desaprob =0;
for contador in range (0,15):
nota = int (input (" Ingrese nota: "))
if nota >= 7:
cant_aprob =+1
print (f"Cantidad de aproba... |
# using random
import random
print(random.random()) # random number between 0 and 1
print(random.randint(5, 50)) # random int between 5 and 50
print(random.choice([1, 5, 10, 15, 20, 25])) # choose a random from this list
x = 50
y = 5.5
z = x + y + 5j
# printing the type of variables
print(x, type(x))
print(y, typ... |
from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from os import environ
app = Flask(__name__)
# app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+mysqlconnector://root@localhost:3306/bubbletea'
app.config['SQLALCHEMY_DATABASE_URI'] = environ.get('dbURL')
app.co... |
import unittest
from src.calculator.calculator import Calculator
class CalculatorTestCase(unittest.TestCase):
def setUp(self) -> None:
self.calculator = Calculator()
def test_instantiate_calculator(self):
self.assertIsInstance(self.calculator, Calculator)
def test_result_is_zero_calcula... |
import numpy as np
import time
from ACO import ACO
from MatrixGraph import MatrixGraph
mtxgraph = MatrixGraph()
distances = mtxgraph.encode_to_array('example.tsp')
aco = ACO(distances, 1, 1, 100, 0.95, alpha=1, beta=1)
mtxgraph.normalize_answer(shortest_path)
print("The shortest path in the graph is {} with length {}"... |
import time
# from time import timestamp
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer
timestamp = time.time()
def genTokenSeq(expires):
s = Serializer(secret_key="123456789", salt="123456789", expires_in=expires)
return s.dumps({"user_id": "1614010432", "user_role": "1", "iat": ti... |
from django.urls import path
from . import views
from . import course_views
from . import staff_views
app_name = 'cms'
urlpatterns =[
path('',views.index,name='index'),
path('add_news/',views.AddNewsView.as_view(),name='add_news'),
path('news_category/',views.news_category,name='news_category'),
path('... |
from flask import json
from flask import Response
from contentful import Entry
from bson.objectid import ObjectId
from bson import json_util
from datetime import datetime
def to_json(document=None, code=200):
return Response(
json.dumps(document, sort_keys=True, default=json_formater),
status=code,
mimetype... |
def extended_euclidean(a, b):
r_prev, r = a, b
s_prev, s = 1, 0
t_prev, t = 0, 1
while r:
q = r_prev // r
r_prev, r = r, r_prev - q*r
s_prev, s = s, s_prev - q*s
t_prev, t = t, t_prev - q*t
return s_prev, t_prev
def find_inverse(x, p):
inv, _ = extended_euclidea... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('tweetclass', '0006_query_data_hm_tweets'),
]
operations = [
migrations.CreateModel(
name='Test_tweet',
... |
import mysql.connector as sql
import pandas as pd
config = {
'user':'root',
'password':'AirQualityDB_2018',
'host':'localhost',
'database':'bom_data_test'
}
db_connection = sql.connect(**config)
df = pd.read_sql("SELECT * FROM bom_data_test.066062 LIMIT 1000",con=db_connection)
print(df) |
"""将所有重合的地方剔除掉只留下不重合的数据"""
char_list = ['a', 'b', 'c', 'c', 'd', 'd', 'd']
sentence = 'Welcome Back to This Tutorial'
print(set(char_list)) # {'d', 'a', 'c', 'b'}
print(set(sentence))
# 大小写区分，空格区分
# {'r', 'T', 'm', 'l', 'o', 'h', 'e', 'a', ' ', 'i', 'W', 'B', 'k', 'u', 'c', 's', 't'}
"""下面这句话是错误的，不能在其中使用列表和列表的形式，只... |
# -*- coding: utf-8 -*-
import urllib
import urllib2
from urllib2 import URLError, HTTPError
import json
import pdb
import os
import sys
import codecs
import re
p = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, p)
os.environ['DJANGO_SETTINGS_MODULE'] = "sefaria.settings"
from local_set... |
from svglib.svglib import svg2rlg
from reportlab.graphics import renderPM
import PySimpleGUI as simpleGUI
import re
from PIL import Image
# from anticaptchaofficial.imagecaptcha import imagecaptcha
captcha_svgFile = './captcha/captcha.svg'
captcha_pngFile = './captcha/captcha.png'
captcha_gifFile = './captcha/captcha.... |
# https://atcoder.jp/contests/abc271/tasks/abc271_c
# # def input(): return sys.stdin.readline().rstrip()
# # input = sys.stdin.readline
# from numba import njit
# from functools import lru_cache
import sys
input = sys.stdin.buffer.readline
# sys.setrecursionlimit(10 ** 7)
N = int(input())
a = list(map(int, input().s... |
import findspark
from pyspark.sql import SparkSession
import pyspark.sql.functions as f
from pyspark.sql.functions import split
# ------------------------------------ TASK ------------------------------------
# 1- Given this yearly income ranges, <40k, 40-60k, 60-80k, 80-100k and 100k>.
# Generate a report that... |
import sys
sys.stdin = open('input.txt', 'r')
N = int(input())
count = 0
for i in range(2, N+1, 2):
for j in range(1, N+1-i):
k = N - (i + j)
if k >= j+2 and k != 0:
count += 1
print(count)
|
import sys
import math
with open('./popular-names.txt', mode="r") as f:
n = int(sys.argv[1])
lines = [line.rstrip() for line in f]
n_split = math.ceil(len(lines) / float(n))
fs = [open(f"f_{i}.txt", mode="w") for i in range(n)]
i = 0
cnt = 0
for line in lines:
fs[i].write(line + "\n... |
from pathlib import Path
project_root = Path(__file__).parent.absolute()
import os
import random
import math
from collections.abc import Sequence
from functools import partial
import torch
import pytorch_lightning as pl
from pytorch_lightning.callbacks import Callback
from munch import Munch
import ray
from ray im... |
#Complete code below to count number of letters
fav_word = "supercalifragilisticexpialidocious"
# Your code below
count = 0
for letter in fav_word:
if letter == 'i':
count = count + 1
print(count) |
if __name__ == '__main__':
my_number = 5
while True:
user_number = int(input("Guess a number - "))
if user_number == my_number:
print("Number guessed!")
break
elif user_number < my_number:
print("Cold")
elif user_number > my_number:
... |
# Generated by Django 3.2 on 2021-04-09 03:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('RatingCounter', '0007_auto_20210408_1648'),
]
operations = [
migrations.AddField(
model_name='ratingcountermodel',
... |
from ..core import db
from ..models import FileModel
from ..models import CommentModel
from ..models import ProjectModel
from ..models import EnvironmentModel
# from ..models import ApplicationModel
import datetime
import json
from bson import ObjectId
class RecordModel(db.Document):
project = db.ReferenceField(Pr... |
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