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from django.db import models
from django.utils import timezone
from users.models import User
#from shoppings.models import ShoppingList
# Create your models here.
def upload_path(instance, filename):
return '/'.join(['images/deliveries', filename])
class Delivery(models.Model):
id = models.AutoField(primary... |
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework import status, generics
from api.admins.serializers import AccountSerializer
from api.publics.serializers import UserSerializer
from .models import User
# class RoomAPIView(APIV... |
from celery.schedules import crontab
# Will need to add "celery -A proj beat" for these to run.
# this needs to run on the webserver
# celery -A proj beat -s /webapp/logs/celery/celerybeat-schedule
CELERYBEAT_SCHEDULE = {
'set_recording_duration': {
'task': 'corpus.tasks.set_all_recording_durations',
... |
from dataclasses import dataclass
from joblib import Parallel, delayed
from ..datasets import FaceLandmarksDataset
from ..transformers import ConditionalFilter
from ..transformers import extractors as ex
from ..types import Directory, Tuple
from ..utils import data_dir
from ..visualizers import points_on_video
@dat... |
import os, requests
from django.core.mail import EmailMultiAlternatives
from rest_framework.exceptions import APIException
from django.template.loader import get_template
from django.template import Context
from django.conf import settings
from twilio.rest import Client
def send_email(slug, to, data={}):
if settin... |
# Aumento de 15%
print('{:=^40}'.format('Aumento!!'))
n = float(input('Qual seu salário atual? '))
aumento = n * 0.15
print('Parabens você recebeu um aumento de 15% agora seu salario é de {:.2f}R$'.format(n + aumento))
|
# Punto 1
def sumatoria(n):
if n == 1:
return 1
else:
return n+sumatoria(n-1)
print(sumatoria(100))
# Punto 2. La entrada debe ser un numero natural
def suma_cifras(n):
if n < 10:
return n
else:
return n%10+suma_cifras(n//10)
n = 8
print('El input es', n)
print(suma_cifras(n))
|
from flask import Flask, request, Response, jsonify, g
from gb import app, session
from gb.models import User
from controllers import protected
@app.route('/api/users/',methods=['GET'])
@protected
def get_user():
user_id = g.current_user_id
user = session.query(User).get(user_id)
if user:
return ... |
import os
import gc
import json
import pandas as pd
import gzip
from gensim.models import TfidfModel, LsiModel
from gensim.corpora import Dictionary
from nlpia.data.loaders import BIGDATA_PATH, read_csv
KEEP_N = 300000 # max vocab size
NO_BELOW = 5 # min DF (count)
NO_ABOVE = .7 # max DF (fraction)
def ... |
# Función original
def f(x):
return (x ** 4) - (8.6 * (x ** 3)) - (35.51 * (x ** 2)) + (464 * x) - 998.46
# Derivada de la función original
def fprima(x):
return (4 * (x ** 3)) - (25.8 * (x ** 2)) - (71.02 * x) + 464
x0 = 7 # Valor inicial
itera = 0 # Número de iteraciones
for i in range(100):
itera += 1... |
from numpy import genfromtxt, array
from math import *
from random import random
import numpy as np
import pylab as plt
import sys
import pickle
class Spam_Classifier(object):
def __init__(self):
# constant
self.num_feature = 57
self.exponential_norm = 100
# container
self.norm = []
def set_weight(se... |
import pygame
import threading
import sys
from pygame.locals import *
from lib.statemachine import StateMachine
from config import Config as cfg
from lib.sprite import Sprite
class Scene(StateMachine):
def __init__(self):
super().__init__()
#self.input_thread = threading.Thread(None, self.input)
... |
from config import BEACON, DEACTIVATE, ATTACH, QUERY, ACTIVATE, \
BATCH_DELETE
class URLBuilder(object):
"""
docstring for BeaconHelper
"""
def beacon_deactivation_url(self, beacon_details):
"""
Returns URL to deactivate the beacons
"""
return BEACON + beacon_detail... |
from django.contrib import admin
from blog.models import Blog
class BlogAdmin(admin.ModelAdmin):
list_display = ('title','is_published', 'date')
list_display_links = ('title',)
admin.site.register(Blog,BlogAdmin)
|
from google_nest_sdm.device import Device
def test_doorbell_chime():
raw = {
"name": "my/device/name",
"traits": {
"sdm.devices.traits.DoorbellChime": {},
},
}
device = Device.MakeDevice(raw, auth=None)
assert "sdm.devices.traits.DoorbellChime" in device.traits
|
import traceback
import os
import datetime
import base64
import geojson
from six.moves.urllib.parse import urlparse
from wsgiref.util import FileWrapper
from django.db.models import Q, Min
from django.db import transaction
from django.http import HttpResponse
from django.core.files.base import ContentFile
from django.c... |
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse, HttpResponseNotFound, HttpResponseBadRequest
from django.shortcuts import render, redirect
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import login, logout
from .models import AuthBacken... |
import kivy
from kivy.app import App
from kivy.uix.label import Label
from kivy.uix.gridlayout import GridLayout
from kivy.uix.textinput import TextInput
from kivy.uix.button import Button
import random
class FoodApp(App):
def build(self):
return MyGrid()
class MyGrid(GridLayout):
def... |
class Solution(object):
def rob_dp_iterative(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
len_nums = len(nums)
if len_nums == 0:
return 0
memo = [0] * len_nums
prev_memo = 0
memo[0] = nums[0]
i = 0
for i in... |
import numpy as np
import math
import abc
class KalmanFilterBase(object):
"""
this is the abstract kalman filter class that defines the common interface
"""
__metaclass__ = abc.ABCMeta
@abc.abstractmethod
def __init__(self, debug=False):
self.debug = debug
self._X = None
... |
#!../venv/Scripts/python.exe
# -*- encoding : utf-8 -*-
"""
@Description: test_pyshor.py provides functions and classes to ensure the proper functioning of PyShor
@Author: Quentin Delamea
@Copyright: Copyright 2020, PyShor
@Credits: [Quentin Delamea]
@License: MIT
@Version: 0.0.1
@Maintainer: Quentin Delamea
@Email: ... |
import qrcode
websiteurl = 'https://davidaparicio.gitlab.io'
filename = 'website.png'
versions = 1 #1 to 40
boxsize = 10 #nb of pixels
bordersize = 4 #min thickness of the border
#img = qrcode.make('Your input text')
img = qrcode.make()
qr = qrcode.QRCode(
version=versions,
error_correction=qrcode.con... |
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5 import QtGui, QtCore
from PyQt5.QtGui import *
import sys,sqlitedict
class Main(QMainWindow):
def __init__(self):
super().__init__()
self.setupUi()
self.dictionarydb = sqlitedict.SqliteDict("DBS2.db",autocommit=True)
... |
# encoding: UTF-8
"""
@author: hy
"""
from gradedMT.mapGenerator.MapGenerator import MapGenerator
from common import checkLoadSave
from config import DATA_PATH, JSON_FILE_FORMAT, UMLS_CHI_SOURCE
from read.UMLS.ReadMrConso import readMRCONSO_RRF
class UMLSCHIMapGenerator(MapGenerator):
def __init__(self):
super(U... |
from settings import *
DATABASES['default'] = { 'ENGINE': 'django.db.backends.sqlite3' }
PASSWORD_HASHERS = (
'django.contrib.auth.hashers.MD5PasswordHasher',
)
class DisableMigrations(object):
def __contains__(self, item):
return True
def __getitem__(self, item):
return 'notmigrations'
... |
import sys
filename1 = sys.argv[1]
filename2 = sys.argv[2]
f = open('names.txt','r')
f1 = open(filename1,'r')
f2 = open(filename2,'r')
names = {}
for l in f:
line = l.lower().split()
names[line[0]] = line[1]
#print(f1.read().split())
result = {}
def func(f):
data = f.read().lower().replace('.','').split()
f... |
# -*- coding :utf8 -*-
testes = int(input('Quantidade de testes: '))
coelho,rato,sapo = 0 , 0 , 0
for i in range(testes):
dados = raw_input('Tipo: ').split()
quantidade, tipo = int(dados[0]) , dados[1].upper()
if tipo == 'C':
coelho += quantidade
elif tipo == 'R':
rato += quantidade
elif tipo ... |
import matplotlib.pyplot as plt
import numpy as np
from PlotData import PlotData
#.....Visializing Boundary.....
def PlotBoundary(model,X,y):
if model.get_params()['kernel']=='linear':
w=model.coef_[0]
m=-w[0]/w[1]
xx=np.linspace(min(X[:,0]),max(X[:,0])) # can be given any i... |
from .models import *
from rest_framework import serializers
class CategorySerializer(serializers.ModelSerializer):
class Meta:
model = Category
fields = '__all__'
class CommentSerializer(serializers.ModelSerializer):
class Meta:
model = Comment
fields = ['movie', 'user', 't... |
"""
Takes pictures from the Raspberry Pi Camera at regular intervals. Detects faces
and sends cropped pictures of faces to the server
"""
import cv2
import requests
SERVER_URL = 'http://127.0.0.1:5000/image'
cascPath = "/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml"
faceCascade = cv2.CascadeClassi... |
#!/usr/bin/env python3
#
# MIT License
#
# Copyright (c) 2020-2021 EntySec
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to... |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.10.3
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
#
# # 13 Pre-Class Assignment: Projections
# ### Rea... |
import numpy as np
from sunpy import lightcurve as lc
import matplotlib.pyplot as plt
from pandas import *
from sunpy.time import parse_time
basetime = parse_time('2016-07-24 00:00')
import datetime
from reading_msk_files import read_files
import seaborn as sns
sns.set_style('ticks',{'xtick.direction':'in','ytick.direc... |
import sys
import os
import time
import pickle
import numpy as np
from gensim.models import Word2Vec
from argparse import ArgumentParser
p = ArgumentParser("Train vector representations")
p.add_argument("corpus", help="Path to tokenized corpus")
p.add_argument("output", help="Path to vector output directory")
p.add_a... |
import collections
import operator as op
from functools import partial
from syn.five import unicode, xrange, izip, STR, NUM
from syn.base_utils import REPL, repl_command, DefaultList, sgn, AttrDict, \
implies, feq, cfeq, tuple_append
from syn.base_utils.float import DEFAULT_TOLERANCE
from syn.base_utils.rand import... |
import json
from datetime import datetime, timedelta
import parse
from dateutil.parser import parse as dateparse
from flask import Blueprint
from sqlalchemy.exc import DataError, IntegrityError
from anubis.models import (
db,
Assignment,
AssignmentRepo,
User,
AssignmentTest,
SubmissionTestResu... |
import pygame
from random import randint
from copy import copy
class Obj():
#Variables de movimiento
def imagenes(self,image):
pacman1=pygame.image.load(image)
pacman1=pygame.transform.scale(pacman1,(50,50)) #volver relativo NO gracias
# pacman1=pacman1.convert()
re... |
from django.db.models import Q
from django_filters import rest_framework as filters
from rest_framework import viewsets
from rest_framework.permissions import IsAuthenticatedOrReadOnly
from rest_framework_gis.filters import DistanceToPointFilter
from seedorf.games.serializers import GameSpotNestedSerializer
from seedo... |
import random
import sys
import time
import math
from collections import Counter
from objects.topology import Square, Disk, Sphere
CANVAS_HEIGHT = 720
CANVAS_WIDTH = 720
NUM_NODES = 1000
AVG_DEG = 16
MAX_NODES_TO_DRAW_EDGES = 8000
RUN_BENCHMARK = False
def setup():
size(CANVAS_WIDTH, CANVAS_HEIGHT, P3D)
ba... |
import pandas as pd
from sklearn.utils import shuffle
train_df = pd.read_csv(r'/content/gdrive/My Drive/Dataset _ QG/train.csv') # Put your directory for train.csv
test_df = pd.read_csv(r'/content/gdrive/My Drive/Dataset _ QG/test.csv') # Put your directory for test.csv
train_data = train_df[['context','text','qu... |
import os
os.environ['THEANO_FLAGS']='mode=FAST_RUN,device=gpu,floatX=float32'
import utils as ut
import numpy as np
from os.path import basename
from sklearn.preprocessing import MinMaxScaler
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Con... |
from PIL import ImageGrab, Image
import numpy as np
import cv2
import time
from ahk import AHK
import threading
newImg = cv2.imread('imgs/NN/save.png')
for i in range(6):
# crop the image to one of each door
crop_img = newImg[0:150, (i*120) + 20:((i+1)*120) - 20]
cv2.imwrite('imgs/NN/{}.png'.forma... |
from sklearn.metrics import confusion_matrix
import matplotlib.pyplot as plt
import seaborn as sn
import json
with open('./data.json') as f:
data = json.load(f)
df = data["data"]
y_true = []
y_pred = []
for value in df:
y_t = value[187]
y_p = value[188]
y_true.append(y_t)
y_pred... |
from typing import List
from fastapi import APIRouter, Depends, HTTPException, status
from blog import schemas, database, models
from sqlalchemy.orm import Session
from blog.repository import blog
from utils import oauth2
current_user: schemas.User = Depends(oauth2.get_current_user)
get_db = database.get_db
router = ... |
from pyscipopt import Branchrule, SCIP_RESULT
import logging
class ReluBranching(Branchrule):
"""Class which implements the ReLU branching rule. Sampling heuristic must run up to the same depth as this
branching rule, otherwise this branching rule does not work, since sampling heuristic fills self.mip.
no... |
import tensorflow as tf
import nltk
import pdb
import os
import pickle
import numpy as np
from collections import defaultdict
import heapq
import random
import argparse
def init_parser():
parser = argparse.ArgumentParser(description='Evaluate which epoch')
parser.add_argument("--saved_directory",'-dir', defaul... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
from tests.test_codes_list import CodesListTestCase
from tests.buttons.test_result_buttons import ResultButtonsTestCase
from tests.test_result_screen import ResultScreenTestCase
from tests.test_test_result import TestResultTestCase
def suite():
suite ... |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from tqdm import tqdm
from utils import *
from config import get_config
#from tensorflow.python.framework.ops import disable_eager_execution
#disable_eager_execution()
config = get_config()
(X,y, group) = loaddata_nosplit_scaled_index(config.inp... |
from loader import dp, bot
from keyboards.default.MainMenu import main_menu
# MongoDB init
from utils.db_api import users_db
from utils.db_api import profiles_db
# Init aiogram
import aiogram.utils.markdown as md
from aiogram import types
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state... |
"""
Script to test GNOME with chesapeake bay data (netCDF 3D triangle grid)
Eventually update to use Grid Map rather than BNA
"""
import os
from datetime import datetime, timedelta
import numpy as np
from gnome import scripting
from gnome import utilities
from gnome.basic_types import datetime_value_2d, numerical_me... |
# classification using Random forests without one hot encoding
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn import metrics
from sklearn.ensemble import RandomForestClassifier
df = pd.read_csv('new3.csv')
# Import train_test_split function
X = df[['emp_len... |
import xml.etree.ElementTree
import csv
def joinXMLWithCSV(XMLFileName, csvFileName):
products = extractProductsFromXMLFile(XMLFileName)
products_and_prices_csv_writer = createCSVWriter('prices_and_products.csv');
addFirstRow(products_and_prices_csv_writer, ['customer','Local code','Name','Price','Descript... |
#!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy
from scipy.optimize import curve_fit
time, decays = numpy.loadtxt('decay.txt', unpack=True, delimiter=',')
print(time)
print(decays)
plt.plot(time, decays, 'ko')
plt.semilogy()
plt.show()
def f(t, l, n0):
return n0 * numpy.exp(-l * t)
pars, ... |
num=raw_input()
num=num.split()
frst=int(num[0])
sec=int(num[1])
inp=raw_input()
inp=inp.split()
lis=[]
for i in range(frst):
lis.append(int(inp[i]))
if sec in lis:
print("yes")
else:
print("no")
|
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras.layers import GlobalAveragePooling2D
from tensorflow.keras.layers import GlobalMaxPooling2D
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Reshape
from tensorflow.keras.layers import Multiply
from tensorflo... |
#Michael Pu
#2016/11/21
#ICS2O1
#Ms.Strelkovska
#Looping Through Lists Exercises 1
#Get User Input
listInputs = []
for i in ["first", "second"]:
print("Enter the items for the %s list. Seperate list items with a comma (,)." %i)
listInputs.append(input())
#Seperate Input Into Lists
lists = []
for stringList ... |
import random
def play():
words = ["python", "java", "kotlin", "javascript"]
word = random.choice(words)
guessed = set()
lives = 8
print("H A N G M A N")
while lives > 0:
print()
revealed = generate_display(word, guessed)
print(revealed)
if revealed == word:
... |
# Generated by Django 2.1.5 on 2019-03-09 17:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('datasets', '0011_more_indexes_opposite'),
]
operations = [
migrations.RemoveIndex(
model_name='eviction',
name='data... |
# flake8: noqa
from mstrio.server.project import *
from mstrio.utils import helper
helper.deprecation_warning(
'`mstrio.server.application`',
'`mstrio.server.project`',
'11.3.4.101', # NOSONAR
False)
|
from typing import List
class Solution:
def findMinArrowShots(self, points: List[List[int]]) -> int:
points.sort()
number = len(points)
overlap_end = None
for point in points:
if overlap_end and overlap_end >= point[0]:
number -= 1
overl... |
import numpy as np
import cv2
from constants import NUMPY_IMAGES_DATA_PATH, NUMPY_LABEL_DATA_PATH, FACE_SIZE, EMOTIONS, MODEL_CHECKPOINT, MODEL_PATH, FACE_CASCADE_PATH
import tflearn
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.la... |
from pyasn1.type import univ
from pyasn1.codec.der import encoder as DERencoder, decoder as DERdecoder
from j2735 import *
from Plausability import nmea2deg
import datetime
BSMcounter = 0
def createJ2735BSM(status, nmealatitude,nmealongitude, altitude, speed, vehicleWidth, vehicleLength):
# - Fixed TemporaryID
... |
import unittest
import pytest
import os
from .. import field
from .. import board
from .. import run
# https://flask.palletsprojects.com/en/1.0.x/testing/
# try:
# sys.path.append("..")
# import field
# import board
# import run
# except:
# from .. import field
# from .. import board
# fro... |
from math import log
from random import choice
# the upper bound of regard
def optimal_m(n, delta):
m = int(4 / (delta ** 2) * log(n * (delta ** 2) / 4) + 1)
return max(1, m)
# the upper bound of regard
def regret_upper_bound(delta, n):
max1 = n * delta
max2 = delta + 4 / delta * (1 + max([0, log(n ... |
# -*- coding: utf-8 -*-
from selenium import webdriver
import time
import pandas as pd
from pyquery import PyQuery as pq
# df_all = pd.DataFrame(columns=['title', 'content'])
def crawl_webPage(n):
web_url='https://www.99zuowen.com/yilunwen/chuzhong/'
# doc=pq(web_url)
page_url=[]
title_list=[]
# co... |
"""Server URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-bas... |
import asyncio
import unittest
from decimal import Decimal
from hummingbot.connector.gateway.gateway_in_flight_order import GatewayInFlightOrder
from hummingbot.core.data_type.common import OrderType, TradeType
from hummingbot.core.data_type.in_flight_order import OrderState, OrderUpdate
s_decimal_0 = Decimal("0")
... |
#!/usr/bin/env python2
'''
not sure if original awk produced best/intended matrix scores:
see also donor. Not consistent behaviour.
replicated original at this point
### org awk code below ###
#USAGE= $BIN/preparetrimatrixstart4parameter.awk 4 5 6 7 $DATA/set2/sites/starts.geneid.dimatrix
BEGIN {
st = ARGV[1];
... |
1,IO：计算机输入时input，输出是output，因此我们把输入输出称为input/output，简写IO。python的IO是input/print.
2,计算机类型
整形
浮点型
字符串：单引号双引号需要用\转义eg：str='I\'m ok';
特殊 \n 换行 \t 制表符 \自身转义
r''内的字符串默认不转义
''''...'''提示符 换行
布尔值
空值：None
3，变量：变量名必须是大小写英文、数字、和_的组合，且不能用数字开头
4，常量：通常用大写的变量名来表示常量
5，字符编码：ord('a')获取字符整数表示；chr(65)把编码转换成对应的字符
Python的字符串类型时str... |
# -*- coding: utf-8 -*-
from django.contrib import admin
from briefcase.models import DocumentStatus, DocumentType, Document
class DocumentStatusAdmin(admin.ModelAdmin):
prepopulated_fields = {'slug': ('name',)}
class DocumentTypeAdmin(admin.ModelAdmin):
pass
class DocumentAdmin(admin.ModelAdmin):
li... |
from rest_framework import serializers
from .models import *
#class UsuarioSerializer(serializers.ModelSerializer):
# class Meta:
# model = Usuario
# fields = ('id','username', 'password',)
class PosicionUsuarioSerializer(serializers.ModelSerializer):
class Meta:
model = PosicionUsuario
fie... |
import os
import tempfile
import mock
import pytest
@pytest.fixture(scope="session", autouse=True)
def _httpie_config_dir():
"""Set path to HTTPie configuration directory."""
# HTTPie can optionally read a path to configuration directory from
# environment variable. In order to avoid messing with user's... |
"""lectur URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-bas... |
print("Podaj 1 liczbe")
a = int(input())
print("Podaj 2 liczbe")
b = int(input())
print("Podaj 3 liczbe")
c = int(input())
if a < b :
elif a <c
if b < a and b < c
srednia = b
najmnieszaj = c
if a > b and a < c :
srednia = a
elif
najwieksza = b
najmnieszaj = c
else
najmnieszaj = a
sredni... |
from django.shortcuts import render
from django.http import HttpResponse
from django.http import HttpResponseRedirect
from django.contrib.auth.decorators import login_required
# Create your views here.
@login_required(login_url='pages/login')
def Base(request):
return render(request, 'pages/base.html', {})
def da... |
import sys
from PyQt5 import QtCore,QtWidgets,Qt
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QGridLayout
from PyQt5.QtGui import QMovie,QPixmap
app = QApplication(sys.argv)
window = QWidget()
window.setFixedSize(720,480)
# ใส่สีพื้นหลังเป็นสี Light Cyan
window.setStyleSheet("background: #B0E2... |
#082.py
class MyClass:
def get_length(self, seq):
return len(seq)
obj = MyClass()
seq = "ACGTACGT"
print(obj.get_length(seq))
|
# -*- coding: utf-8 -*-
# @Author : nJcx
# @Email : njcx86@gmail.com
from pyspark.streaming.kafka import TopicAndPartition
from settings import RedisPasswd, RedisHost
from utils import RedisTool
g_offset_ranges = []
redis_utils = RedisTool(RedisPasswd, RedisHost)
def get_offset_ranges(topic):
ranges = None
... |
from __future__ import unicode_literals
import importlib
from django.utils.translation import ugettext_lazy as _
from django.db import models
from django.utils.functional import cached_property
from django.utils.encoding import python_2_unicode_compatible
from model_utils import Choices
from autoslug import AutoSlug... |
#author unknown
import os
import hashlib
def find_duplicate_files(starting_directory='F:\Books'):
files_seen_already = {}
queue = [starting_directory]
# we'll track tuples of (duplicate_file, original_file)
duplicates = []
while len(queue) > 0:
current_path = queue.pop()
# if i... |
# -*- coding:utf-8 -*-
"""Main script."""
from brain_games.engine import run
from brain_games.games import brain_even
def main():
"""Start brain_even game."""
run(brain_even)
if __name__ == '__main__':
main()
|
from lantz.drivers.keysight.Keysight_66322A import Keysight_33622A
from lantz.drivers.keysight.arbseq_class import Arbseq_Class
class PulseSequence(object):
def __init__(self, name, timestep):
self.timestep = timestep
self.repeat_unit = None
self.arbseq = None
def build_pulse(self):
pulse = [off(0) for 1... |
import testc
my_test = testc.test()
my_test.equal(4, 5)
my_test.equal(5, 5)
my_test.output("Hello", "World", 42, expected="Hello World 42")
my_test.summary()
with testc.test() as test:
test.equal(4, 5)
test.equal(5, 5)
test.output("Hello", "World", 42, expected="Hello World 42")
with testc.test() as te... |
'''
Created on Sep 22, 2018
@author: l0t0y
'''
from labs.module02.TempSensorEmulator import TempSensorEmulator
from time import sleep
TS = TempSensorEmulator(5)
TS.daemon = True
print("Daemon Thread Starting...")
TS.setEnableTempEmulator(True)
TS.start()
while(True):
sleep(5)
pass
... |
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 06 10:17:03 2016
@author: v-wujin
"""
from sklearn import datasets
from sklearn.cross_validation import train_test_split
from sklearn.cross_validation import cross_val_score
from sklearn.metrics import accuracy_score
from sklearn import svm
import numpy as np... |
a = float(input("insira a coordenada a: "))
b= float(input("insira a coordenada b "))
r = float(input("insira o raio r: "))
if (b > 0):
print("Superiores")
if (b < 0):
print("Inferiores")
|
#!/usr/bin/env python
#
# Even more functional-like...
import sys
def num_layers(num_rows, num_cols):
return min(num_rows, num_cols) / 2
def len_layer(num_rows, num_cols, layer):
return 2 * (num_rows + num_cols - 2 - 4 * layer)
def get_area_row_col(num_rows, num_cols, row, col):
if row < num_rows ... |
from django.contrib.auth import get_user_model
from django.contrib.auth.models import User
from .models import Purchase, Car, Equipment
from django.test import TestCase, Client
from django.urls import reverse
class IndexViewTests(TestCase):
def test_no_products(self):
response = self.client.get(reverse('i... |
# -------------------------------------------------------------------------------
# Name: AutStageE.py
# Description: Data preliminary processing (Delete features from a feature class based on an expression)
# Purpose: Automated prediction system for vegetation cover based on MODIS- NDVI satelli... |
for i in range(83, 864):
print "require('./Images/" + str(i) + ".jpg'),"
const images = [
require('./Images/0.jpg'),
require('./Images/1.jpg'),
require('./Images/2.jpg'),
require('./Images/3.jpg'),
require('./Images/4.jpg'),
require('./Images/5.jpg'),
require('./Images/6.jpg'),
re... |
class Stack(object):
def __init__(self):
self._data = list()
def push(self, data):
self._data.append(data)
def pop(self):
try:
x = self._data.pop()
except IndexError:
x = None
return x
def size(self):
return len(self._data)
clas... |
# import Module.Utility
# import Module.ClickOnButton
# import Module.clickOnMenuAndSubmenu
# import Module.enterText
# import Class.SeleniumDriver
# import Module.verifyTextOnScreen
# import Module.selectDropDownOption
#
#
# Class.SeleniumDriver.getWebDriver()
# Class.SeleniumDriver.openUrl()
# Class.SeleniumDriver.lo... |
class Solution:
def numDecodings(self, s):
# 时间复杂度O(N)，空间复杂度O(N)
if not s:
return 0
if len(s)==1 and int(s) > 0:
return 1
if int(s[0])==0:
return 0
dp = [0 for _ in range(len(s)+1)]
dp[0], dp[1] = 1,1
for i in range(2, le... |
# Manual practice replicating IF_curve_LIF.py originally written by Brian2 team.
# Small changes (plotted variables and added input current) made
# Same as One_LIF.py, but uses 1000 neurons.
from brian2 import *
n = 1000
duration = 1 * second
tau = 10*ms
dvdtExt = 1.0*mV/ms # Every 0.1 mV/ms pushes effective v0 thre... |
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Deleting field 'Session.desc'
db.delete_column(u'website_session', 'desc')
def backwards(self, orm):... |
#! /usr/bin/env python
from time import sleep, time
from .test_sequoia import TestSequoia
import pytest
# Verify that there are at least N images added after an InitiateCapture with N
# cameras activated. Do this for all combinations of activated sensors.
number_of_cameras = 5
# TODO: Put this function in a separate... |
employee1 = {
"name": "Ron Swanson",
"age": 55,
"department": "Management",
"phone": "555-1234",
"salary": "$87,000"}
employee2 = {
"name": "Leslie Knope",
"age": 45,
"department": "Middle Management",
"phone": "555-4321",
"salary": "$70,000"}
employee3 = {
"name": "Andy Dwye... |
# Generated by Django 3.0.8 on 2020-12-10 11:13
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('common', '0007_remove_attachment_attachmentonly'),
]
operations = [
migrations.AlterField(
model_name='attachment',
... |
# Generated by Django 3.0.7 on 2020-09-02 18:07
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('product', '0004_migration_product'),
]
operations = [
migrations.AlterUniqueTogether(
name='productpackaging',
unique_togeth... |
import matplotlib.pyplot as plt
print ("Aqui")
x = [100,50]
y = [2,10]
x1 = [70,80]
x2 = [5,8]
y1 = [60,90]
y2 = [4,7]
plt.bar(x,y,label ="Grupo 1")
plt.bar (x1,x2,label = "Grupo 2")
plt.bar (y1,y2,label = "Grupo 3")
plt.title("Grafico")
plt.legend()
plt.show()
|
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