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from django.db.models.query_utils import Q from django_filters.rest_framework import ( BooleanFilter, FilterSet, MultipleChoiceFilter, ) from app.career.enums import JobPostType from app.career.models.job_post import JobPost from app.common.filters import NumberInFilter from app.util.utils import yesterday...
""" Copyright IBM Corp. 2018. 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 agreed to in writing, sof...
# -*- coding: utf-8 -*- #* Copyright (c) 2020 Intel Corporation import os,sys,copy,json import subprocess import datetime import time os.system('sudo -E apt-get install iasl') if os.path.exists('iasl_build'): os.system('rm -rf iasl_build') os.system('mkdir -p iasl_build') cmd = "cd iasl_build" + "&&" +"wget https:/...
from torch.optim.lr_scheduler import _LRScheduler import math class CosineAnnealingLR(_LRScheduler): def __init__(self, optimizer, T_max=1, T_up=0, eta_min=0, last_epoch=-1): self.T_max = T_max self.T_up = T_up self.eta_min = eta_min super().__init__(optimizer, last_epoc...
from django.template import Library import inspect register = Library() @register.filter def inspect_doc(model,field): try: func = getattr(model,field,None) return func.__doc__ except: return "" @register.filter def inspect_source(model,field): try: func = getattr(mode...
from . import routes @routes.route('/validateUpload/hello') def hello(): return 'Hello Validate Order'
""" Test that we can backtrace correctly from Non ABI functions on the stack """ import lldb from lldbsuite.test.decorators import * from lldbsuite.test.lldbtest import * from lldbsuite.test import lldbutil class EHFrameBasedUnwind(TestBase): mydir = TestBase.compute_mydir(__file__) @skipUnlessPlatform(['...
import os from hashlib import sha1 import librosa from sound_check_app import constants def get_file_hash(filepath, block_size=2 ** 20): s = sha1() with open(filepath, "rb") as f: while True: buf = f.read(block_size) if not buf: break s.update(buf)...
import os import random import cv2 import numpy as np import torchvision.datasets as datasets from PIL import Image from torch.utils.data.dataset import Dataset def rand(a=0, b=1): return np.random.rand()*(b-a) + a class FacenetDataset(Dataset): def __init__(self, input_shape, dataset_path, ...
# Copyright 2018 DeepMind Technologies Limited. All rights reserved. # # 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 ...
from .mixins import SoftDeleteManagerMixin, SoftDeleteQuerySetMixin from django.db import models class SoftDeleteQuerySet(SoftDeleteQuerySetMixin, models.QuerySet): pass class SoftDeleteManager(SoftDeleteManagerMixin, models.Manager): queryset_class = SoftDeleteQuerySet
# Coded By: Tom Sumner # Date: 07-04-2022 # Github: Tom-Sumner / https://github.com/Tom-Sumner # Discord: TSumner#5215 # License: MIT # Note: If you use this code, you MUST credit me in your project. import nextcord, os, sys, colorama, time, asyncio, json from colorama import init, Fore, Back, Style from termcolor i...
import re import os import glob import json import pickle import argparse import subprocess from tqdm import tqdm from multiprocessing import Pool, cpu_count from data.github.preprocessing.src.code_tokenizer import tokenize_java, tokenize_python def count_file_lines(file_path): """ Counts the number of lines...
import sys import numpy as np import tensorflow as tf from six.moves import cPickle import pickle import argparse import time import os from rnn_model3 import RNN_Model import data_helpers import word2vec def predict_epoch(model, session, data): x, y, mask_x = data feed_dict={} feed_dict[model.input_da...
import os import sys import logging from cliff.app import App from cliff.commandmanager import CommandManager class XAM(App): log = logging.getLogger(__name__) #CONSOLE_MESSAGE_FORMAT = App.LOG_FILE_MESSAGE_FORMAT def __init__(self): super(XAM, self).__init__( description='XBMC Addo...
import logging import os import sys import zipfile from urllib.request import urlopen, urlretrieve from selenium.webdriver import Chrome as _Chrome from selenium.webdriver import ChromeOptions as _ChromeOptions logger = logging.getLogger(__name__) TARGET_VERSION = 83 __IS_PATCHED__ = 0 class Chrome: def __new...
import time import numpy as np from ares.inference.Priors import GaussianPrior, UniformPrior,\ ParallelepipedPrior, ExponentialPrior, BetaPrior, GammaPrior,\ TruncatedGaussianPrior, LinkedPrior, SequentialPrior, GriddedPrior import matplotlib.pyplot as pl import matplotlib.cm as cm def_cm = cm.bone t00 = time...
from cgi import test from django.test import TestCase from os import walk import cv2 from .helper.poly_solver import solve_polynomial_helper from .helper.linear_solver import solve_2d, solve_3d from .helper.poly_detector import get_poly_eqn from .helper.linear_detector import get_lin_equation from .test.polynomial_te...
class netlist_element(): def __init__(self,typeof): self.typeof = typeof self.parent = False def __str__(self): return(self.typeof) class subcircuit(netlist_element): def __init__(self, name, nets, instances): self.name = name; self.labels = {} self.power_net...
import logging import sys import re import plugins from version import __version__ from commands import command logger = logging.getLogger(__name__) try: import resource except ImportError: logger.warning("resource is unavailable on your system") def _initialise(bot): pass # prevents commands from being ...
#!/usr/bin/env python3 # Copyright © 2012-13 Qtrac Ltd. All rights reserved. # This program or module is free software: you can redistribute it # and/or modify it under the terms of the GNU General Public License as # published by the Free Software Foundation, either version 3 of the # License, or (at your option) any ...
# 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 agreed to in writing, software # distributed under the ...
import sys from os.path import join, dirname, abspath sys.path.append(join(abspath(dirname(__file__)), "../src")) import pytest from sum import sumd @pytest.mark.parametrize("a", [1]) @pytest.mark.parametrize("b", [4, 5]) def test_sum(a, b): print(a, b) assert sum(a, b) == (a+b)
"""empty message Revision ID: 46d875667f0e Revises: f407610aefd9 Create Date: 2021-04-09 10:02:43.623829 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '46d875667f0e' down_revision = 'f407610aefd9' branch_labels = None depends_on = None def upgrade(): # ...
from distutils.core import setup setup( name='torcurl', version='0.1', packages=['torcurl'], url='https://github.com/AsiganTheSunk/torcurl/', license='', author='asigan', author_email='asiganthesunk@gmail.com', description='python project to unite tor and pycurl', download_url = 'hh...
# coding=utf-8 # # created by kpe on 28.Mar.2019 at 12:33 # from __future__ import absolute_import, division, print_function import tensorflow as tf import params_flow as pf from tensorflow import keras from tensorflow.keras import backend as K import bert class PositionEmbeddingLayer(bert.Layer): class Param...
""" Setup for buche """ from setuptools import setup, find_packages from codecs import open from os import path here = path.abspath(path.dirname(__file__)) # Get the long description from the README file with open(path.join(here, 'README.rst'), encoding='utf-8') as f: long_description = f.read() setup( name...
# encoding: 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): # Adding model 'Event' db.create_table('events_event', ( ('id', self.gf('django.db.models.fiel...
import cv2 import numpy cap=cv2.VideoCapture(0) while cap.isOpened(): ret,frame=cap.read() frame=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) cv2.imshow('webcam',frame) c=cv2.waitKey(1) if c==27: break cap.release() cv2.destroyAllWindows()
import cmath import math a = input("Escribe el valor del rendimiento: \n") A = float(a) while A < 0: print("¡Ha escrito un número negativo! Inténtelo de nuevo") a = input("Escribe el valor del rendimiento: \n") A = float(a) b = input("Escribe el valor del precio por litro : \n") B = float(b) while...
''' https://leetcode-cn.com/problems/burst-balloons/ 312. 戳气球 ''' from typing import List class Solution: def maxCoins(self, nums: List[int]) -> int: ''' 考虑最后戳哪个气球 p f[l, r] = max{f[l, p-1] + f[p+1, r] + nums[p]*nums[l-1]*nums[r+1]} 以区间长度作为 dp “阶段” , 区间端点作为dp “状态” 计算n长度问题,先计算...
from django.conf.urls import url, patterns urlpatterns = patterns('corehq.apps.mobile_auth.views', url('^keys/$', 'fetch_key_records', name='key_server_url'), )
import os import sys import pytest from dvc.exceptions import GitHookAlreadyExistsError from dvc.utils import file_md5 from dvc.main import main from dvc.stage import Stage @pytest.mark.skipif( sys.platform == "win32", reason="Git hooks aren't supported on Windows" ) class TestInstall(object): def _hook(se...
import unittest from anchore_engine.services.policy_engine.engine.policy.params import JsonSchemaValidator, BooleanStringValidator, TypeValidator, CommaDelimitedNumberListValidator, EnumValidator, \ DelimitedEnumStringValidator, IntegerValidator, NameVersionListValidator, PipeDelimitedStringListValidator, CommaDel...
from gi.repository import Gtk from gi.repository import Gdk import ns.core import ns.network import ns.internet import ns.olsr from visualizer.base import InformationWindow ## ShowOlsrRoutingTable class class ShowOlsrRoutingTable(InformationWindow): ## @var win # window ## @var visualizer # visuali...
# ####################################################################### # # Task : RunCommand Interaction # # ####################################################################### """ Creates the autoIT stub code to be passed into the master compile Takes a supplied text file for the Sheepl to type the mas...
import argparse import itertools import os.path import time import uuid import torch import torch.optim.lr_scheduler import numpy as np import math import evaluate import trees import vocabulary import makehp import Zparser from dep_reader import CoNLLXReader import dep_eval import utils import json tokens = Zparser ...
# https://leetcode.com/problems/find-pivot-index/ class Solution: # TC : O(N) # SC : O(1) # Runtime: 226 ms, faster than 39.17% of Python3 online submissions for Find Pivot Index. # Memory Usage: 15.4 MB, less than 11.76% of Python3 online submissions for Find Pivot Index. def pivotIndex(...
from django.conf.urls import include from . import views from django.conf import settings from django.conf.urls.static import static from django.urls import path urlpatterns=[ path('',views.index,name='Index'), path('create/profile',views.create_profile, name='create-profile'), path('new/project',views.new...
from pyspark.sql.dataframe import DataFrame from pyspark.sql.functions import lit from splink.vertically_concat import vertically_concatenate_datasets from splink.lower_id_on_lhs import lower_id_to_left_hand_side from splink.blocking import _get_columns_to_retain_blocking, sql_gen_comparison_columns from splink.setting...
!pip install kaggle import os def get_size(path = os.getcwd()): print("Calculating Size: ",path) total_size = 0 #if path is directory-- if os.path.isdir(path): print("Path type : Directory/Folder") for dirpath, dirnames, filenames in os.walk(path): for f in filenames: ...
import re with open("emoji-test.txt") as f: for line in f: if line[0] == "#": continue line = re.split(";|#", line.strip(), maxsplit=2) line = [p.strip() for p in line] if not line[0]: continue codepoints, status, description = line if status != "fully-qualified": continue emoji = ''.join([chr...
import tensorflow as tf from caloGraphNN import * from ops.ties import * def dgcnn_model(feat): feat = high_dim_dense(feat, 64) # global transform to 3D feat = edge_conv_layer(feat, 10, [64, 64, 64]) feat_g = layer_global_exchange(feat) feat = tf.layers.dense(tf.concat([feat, feat_g], axis=-1), ...
import time import json from os import path from getpass import getuser from platform import node VERSION = (16, 6, 4) APPNAME = 'tsdesktop' buildinfo = { 'TIME': None, } binfoFile = path.join(path.dirname(__file__), 'buildinfo.json') def writeBuildInfo(): global buildinfo buildinfo['TIME'] = time.time()...
# https://stackoverflow.com/questions/19561727/what-is-the-difference-between-the # -widgets-of-tkinter-and-tkinter-ttk-in-python from __future__ import print_function import matplotlib import numpy as np matplotlib.use("TkAgg") from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from matplotlib.figure i...
from __future__ import absolute_import import os import logging from collections import OrderedDict import torch import torch.nn as nn import models.networks as networks from .base_model import BaseModel from . import losses logger = logging.getLogger('base') class PBRModel(BaseModel): def __init__(self, opt):...
from office365.runtime.queries.service_operation_query import ServiceOperationQuery from office365.runtime.paths.resource_path import ResourcePath from office365.sharepoint.base_entity import BaseEntity from office365.sharepoint.directory.user import User class DirectorySession(BaseEntity): def __init__(self, con...
# *~* CatABMS Command *~* # #start-of-config trigger = "справка;помощь;команды;help;котопай;меню" description = "Справка: список команд бота" triggermode = "is" timeout = "10" author_pseudo = "Cat Weird" author_contacts = "t.me/catweir1" #end-of-config commandslist = [] adminlist = [] for a in commands: if "Админи...
################################################################################ # _ ____ ___ # # / \ / ___|_ _| # # / _ \| | | | ...
import os import cv2 import numpy as np from picamera import PiCamera import tensorflow as tf import argparse import sys import qrcode import RPi.GPIO as GPIO sys.path.append('..') from utils import label_map_util from utils import visualization_utils as vis_util import time import random, pygame, sys from pygame.l...
from .db_tool import DB_tools from random import choices gacha_main = { "kazuma":[ "https://media.discordapp.net/attachments/885771035243347978/886429821809344563/1001100.png", "https://media.discordapp.net/attachments/885771035243347978/886429812061773834/1003100.png", "https://media.disco...
# kalman_qstrader_strategy.py from __future__ import print_function import sys from math import floor import math import numpy as np from collections import deque from qstrader.price_parser import PriceParser from qstrader.event import (SignalEvent, EventType) from qstrader.strategy.base import AbstractStrategy from...
# ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- import jso...
pinNumber = 1234 print("What's PIN?") userNumber = int(input("> ")) counter = 0 accessGranted = True while (userNumber != pinNumber): counter += 1 if counter >= 3: accessGranted = False break print("Wrong try again") userNumber = int(input("> ")) if accessGranted: print("WELC...
from typing import Type, TypeVar, MutableMapping, Any, Iterable, Generator from datapipelines import DataSource, PipelineContext, Query, NotFoundError, validate_query from .common import KernelSource, APINotFoundError from ...data import Platform, Tier, Division from ...dto.league import ( LeagueEntriesDto, Le...
#!/usr/bin/python # Generate Heat Map from DRAM accesses import sys import os base = sys.argv[1] step = int(sys.argv[2]) # Number of cycles to jump VAULTS = int(os.environ['N_INIT_PORT']) BANKS = int(os.environ['DRAM_BANKS_PER_VAULT']) maxtime = 15000000 # This is the hard limit print ("Dir:" + base) banks = [] f...
from aws_cdk import (core as cdk, aws_ec2 as ec2, ) from aws_cdk.aws_ec2 import SubnetConfiguration, SubnetType # For consistency with other languages, `cdk` is the preferred import name for # the CDK's core module. The following line also imports it as `core` for use # with ...
#!/usr/bin/env python # -*- coding: UTF-8 -*- from pinpoint.plugins.PinpointCommonPlugin import PinpointCommonPlugin @PinpointCommonPlugin('', __name__) def in_lambda(b): return b * b @PinpointCommonPlugin('', __name__) def return_lambda(a): return lambda: in_lambda(a)
#! /usr/bin/env python """ This program finds authors and reviewers for git logs. The result is pushed into a database to be parsed into numbers. Example commit: commit af3290f5e790dcd1be3ac209be1805626f4ebac8 (HEAD -> master, origin/master) Author: Amit Kapila <akapila@postgresql.org> Date: Thu Dec 12 11:51:30 20...
""" Script to set up a custom genome for bcbio-nextgen """ import argparse from argparse import ArgumentParser import os from cloudbio.biodata import genomes from cloudbio import fabutils from bcbio.utils import safe_makedir from bcbio.distributed.transaction import file_transaction from fabric.api import * import sub...
#Find duplicate number in array of integers bounding 1 and n being n the lenght of the array #Most optimal solution: #Time: O(n) #Space: O(1) def firstDuplicateValue(array): for i in range(len(array)): absValueIndex = abs(array[i])-1 if array[absValueIndex]<0: return abs(array[i]) e...
import dataset_converters.formats as formats import dataset_converters.converters as converters def convert(input_folder, output_folder, input_format, output_format, copy_fn): FORMAT = formats.gen_conversion_format(input_format, output_format) converter = None for i in range(len(converters.converters))...
# -*- coding: utf-8 -*- """ Created on Sun Mar 6 15:27:04 2016 @author: alex """ from AlexRobotics.planning import RandomTree as RPRT from AlexRobotics.dynamic import Hybrid_Manipulator as HM from AlexRobotics.control import RminComputedTorque as RminCTC import numpy as np import matplotlib import m...
a = input("Digite o nome de uma fruta para adicionar na lista: ") b = input("Digite o nome de uma fruta para adicionar na lista: ") c = input("Digite o nome de uma fruta para adicionar na lista: ") d = input("Digite o nome de uma fruta para adicionar na lista: ") e = input("Digite o nome de uma fruta para adicionar na ...
import codecs import sys import binaryninja.interaction from binaryninja.flowgraph import FlowGraph, FlowGraphNode from binaryninja.function import DisassemblyTextLine, InstructionTextToken from binaryninja.enums import InstructionTextTokenType, BranchType if sys.version_info[0] == 3: decode_as = "ascii" else: ...
""" TODO """ import os import pwd import json import yaml as YAML import logging import jsonschema class RegularUserException(Exception): pass class Config: __shared_state = dict() _config = dict() def __init__(self): self.__dict__ = self.__shared_state if not self._config: ...
#!/usr/bin/env python # 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 agreed to in writing, software...
lista_lista = list() dados_pessoais = list() lista_pesados = list() lista_leves = list() pessoa = peso_maior = peso_menor = 0 while True: dados_pessoais.append(str(input('Qual é o teu nome? '))) dados_pessoais.append(float(input('Qual o seu peso? '))) question = str(input('Deseja continuar? [S/N] ').str...
import os import torch import subprocess def dist_init(args): if 'RANK' in os.environ and 'WORLD_SIZE' in os.environ: args.rank = int(os.environ["RANK"]) args.world_size = int(os.environ['WORLD_SIZE']) args.gpu = int(os.environ['LOCAL_RANK']) args.dist_url = 'env://' os.env...
# Author: Ivan Nikolchev # See the LICENSE file for legal information regarding use of this file. """AESGCM with CTR from m2crypto""" from tlslite.utils.cryptomath import m2cryptoLoaded from tlslite.utils.aesgcm import AESGCM from tlslite.utils import openssl_aes from tlslite.utils.rijndael import Rijndael if m2cryp...
from copy import deepcopy import torch import os from torch.distributions.normal import Normal from rlil.environments import Action from rlil.initializer import ( get_device, get_writer, get_replay_buffer, use_apex) from rlil.memory import ExperienceReplayBuffer from rlil.nn import weighted_mse_loss from rlil.utils...
#! /usr/bin/env python3 import click import sys from json import loads, dumps import pandas as pd from numpy.linalg import tensorinv from numpy import matmul def jloads(fname): return loads(open(fname).read()) def normalizeTbl(ags, tbl): iags = tensorinv(ags) taxaAGS = matmul(iags, tbl) normal = t...
import torch import torch.nn as nn import torch.nn.functional as F def concat_elu(x): """Concatenated ReLU (http://arxiv.org/abs/1603.05201), but with ELU.""" return F.elu(torch.cat((x, -x), dim=1)) def safe_log(x): return torch.log(x.clamp(min=1e-22)) def squeeze(x): ##-> provide the squeezing code ...
import networkx import numpy import scipy from .base_plotable_model import BasePlotableModel class SEIRSNetworkModel(BasePlotableModel): """ A class to simulate the SEIRS Stochastic Network Model ====================================================== Params: G Network adjace...
# coding: utf-8 from __future__ import unicode_literals from .common import InfoExtractor from ..compat import compat_str from ..utils import ( int_or_none, qualities, remove_end, strip_or_none, try_get, unified_timestamp, url_basename, ) class AllocineIE(InfoExtractor): _VALID_URL = ...
#!/usr/bin/env python # WordNet-based data augmentation # # Copyright (C) 2020 # Author: Joseph Sefara # URL: <https://github.com/dsfsi/textaugment/> # For license information, see LICENSE import numpy as np import nltk from itertools import chain from nltk.corpus import wordnet class Wordnet: """ A set of ...
from __future__ import annotations from typing import TYPE_CHECKING, Dict if TYPE_CHECKING: from hyades.device.device import Device from hyades.connection.base_wrapper import base_wrapper from hyades.connection.fabric import ConnectionFabric from netmiko import ConnectHandler @ConnectionFabric.register() class sc...
import os FIREBASE_DATABASE_URL = os.environ.get("FIREBASE_DATABASE_URL", "") FIREBASE_API_KEY = os.environ.get("FIREBASE_API_KEY", "") FIREBASE_AUTH_DOMAIN = os.environ.get("FIREBASE_AUTH_DOMAIN", "") FIREBASE_STORAGE_BUCKET = os.environ.get("FIREBASE_STORAGE_BUCKET", "") FIREBASE_ADMIN_CREDENTIALS = os.environ.g...
""" LightsheetCorrection ==================== Module to remove lightsheet artifacts in images. Adapted from https://github.com/ChristophKirst/ClearMap2 Kirst, et al. "Mapping the Fine-Scale Organization and Plasticity of the Brain Vasculature." Cell 180.4 (2020): 780-795. https://doi.org/10.1016/j.cell.2020.01.028 ...
import os import typing as tp from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorCollection, AsyncIOMotorDatabase from pydantic import BaseModel, parse_obj_as from .routers.service.models import ( AchievementEvent, AchievementTemplate, Reward, RewardEvent, Subject, ) from .routers.use...
#!/usr/bin/python2.4 # # Copyright 2008 Google Inc. # # 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 o...
from app import actioner, model def create_delta(*, current_sink: model.SinkSpec = None, target_sink: model.SinkSpec = None, current_source: model.SourceSpec = None, target_source: model.SourceSpec = None, current_stream: model.Strea...
#!/usr/bin/env python # $id$ """ Make gsw_saar_data.c from the current gsw_data_v3_0.nc. This is a developer utility and not a part of the public distribution, but its end-product is. Note that it generates gsw_saar_data.c but will not overwrite it if it exists. General concept: we don't want end-users of this distri...
from concurrent.futures import ThreadPoolExecutor import time from PySide2.QtCore import QCoreApplication thread_pool=None def init_thread_pool(): global thread_pool thread_pool=ThreadPoolExecutor() def deinit_thread_pool(): global thread_pool thread_pool.shutdown() def submit_task(function,*args,*...
import logging import pandas as pd import pytest import helpers.hdbg as hdbg import helpers.hunit_test as hunitest # TODO(Dan): return to code after CmTask43 is fixed. import im_v2.ccxt.data.extract.exchange_class as imvcdeexcl _LOG = logging.getLogger(__name__) @pytest.mark.skip() class Test_CcxtExchange(hunites...
# compile using: python3 setup.py sdist bdist_wheel import turbosensei.load import turbosensei.preprocess import turbosensei.regress import turbosensei.results import turbosensei.utils import turbosensei.buttons
""" Testing signals before/after saving and deleting. """ from django.db import models from django.dispatch import dispatcher class Person(models.Model): first_name = models.CharField(max_length=20) last_name = models.CharField(max_length=20) def __unicode__(self): return u"%s %s" % (self.first_n...
import unittest from int_ops_addition_only import multiply, subtract, divide class Test_Case_Int_Ops_Addition_Only(unittest.TestCase): def test_multiply(self): self.assertEqual(multiply(5,10), 50) def test_divide(self): self.assertEqual(divide(3,1), 3) def test_subtract(self): self....
# # Misc functions related to Pillow/pictures # import PIL.ImageDraw from . import log CENTER = object() def resizeImageToFitInside(image, size): '''Resize a PIL image object to fit inside a box of size size''' f = list(float(size[i]) / image.size[i] for i in range(2)) if max(f) < 1: # too large...
inputmin = 387638 inputmax = 919123 # rules : 1) six digits (and are within min and max # 2) 2 adjacent digits are the same # 3) left to right, the numbers never decrease # this first one might be possible to do without programming? # 456789 is the only one that violates rule 2 # 388 888 is the sta...
import pandas as pd import numpy as np from math import log, exp from random import uniform class UtilityModel: def __init__(self,name,churn_rate,behavior_model): ''' This class calculates the churn probability for a customer based on their event counts. Its called a "Utility Model" to m...
DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'test_db.sqlite' } } MIDDLEWARE_CLASSES = ( 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contri...
import os import json from decimal import Decimal from django.conf import settings from exchange.adapters import BaseAdapter import requests from collections import namedtuple CurrencyTuple = namedtuple('CurrencyTuple', ( 'code', 'name')) class MetsyncAdapter(BaseAdapter): """ This Adapter uses Metglobal...
'''Exercício Python 014: Escreva um programa que converta uma temperatura digitando em graus Celsius e converta para graus Fahrenheit.''' msg = f'{"Conversor de Temperatura":^30}' print('*'*len(msg)) print(msg) print('*'*len(msg)) temp_Celsius = float(input('\nInforme a temperatura em ºC: ')) temp_Fahrenheit = (tem...
# Copyright (c) 2015 Ansible, Inc. # All Rights Reserved. # Python import os from backports.tempfile import TemporaryDirectory from django.conf import settings import pytest import mock # AWX from awx.main.models import * # noqa from awx.api.versioning import reverse @pytest.mark.django_db def test_organization_li...
# DRUNKWATER TEMPLATE(add description and prototypes) # Question Title and Description on leetcode.com # Function Declaration and Function Prototypes on leetcode.com #730. Count Different Palindromic Subsequences #Given a string S, find the number of different non-empty palindromic subsequences in S, and return that nu...
def check(num): if (num > 0): return print("É positivo") elif (num == 0): return print("É zero") else: return print("É negativo") val = int(input("Insira o número a ser consultado: ")) print(check(val)) def isEven(num): if (num % 2 == 0): return print("É par") ...
""" This class implements the Python Prediction's way of dealing with categorical data preprocessing. There are three steps involved here: - An optional regrouping of the different categories based on category size and significance of the category w.r.t. the target - Missing value replacement with the additional cat...
""" Created on Aug 31, 2014 @author: sfurman """ import serial.tools.list_ports # Find devices on the device list. def com_port_devices(): # Search for ports using a regular expression. Port name, description and hardware ID. # [('COM3', 'USB Serial Port (COM3)', 'FTDIBUS\\COMPORT&VID_0403&PID_6001')] ...
#!/usr/bin/env python # # -*- coding: utf-8 -*- __version__ = '1.0.0' class pycaesarcrypt(object): alphabet = 'abcdefghijklmnopqrstuvwxyz' def caesar(self, string, shift): result = '' for char in string: if char.isalpha(): index = (self.alphabet.find(char.lower())...