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# Generated by Django 3.0.5 on 2020-05-04 12:17 import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('books', '0002_auto_20200504_1032'), ] operations = [ migrations.AlterModelOptions( name='order', opt...
import sys import numpy as np import pyqtgraph as pg from PyQt5.QtCore import Qt, QTimer, QElapsedTimer from PyQt5.QtWidgets import ( QApplication, QCheckBox, QGridLayout, QGroupBox, QMenu, QPushButton, QRadioButton, QVBoxLayout, QWidget, QSlider) from bg_gurney import BasalGanglia class Window(QWidget): def ...
# Generated by Django 3.0.3 on 2020-05-07 12:48 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('project_first_app', '0003_auto_20200507_1248'), ] operations = [ migrations.AlterField( model_name='user', name='pas...
#!/usr/bin/env python # Load firmware onto the Digital Bitbox. # # The Digital Bitbox must be in bootloader mode to use this script: # 1- Unlock the bootloader using send_command.py to send '{"bootloader":"unlock"}' # 2- Hold the touch button 3 seconds to permit unlocking. # 3- Replug the device, and briefly tou...
""" This is a script to scrape COVID19 data from the PowerBI visualization for Wake County NC: - https://covid19.wakegov.com/ - https://app.powerbigov.us/view?r=eyJrIjoiNTIwNTg4NzktNjEzOC00NmVhLTg0OWMtNDEzNGEyM2I4MzhlIiwidCI6ImM1YTQxMmQxLTNhYmYtNDNhNC04YzViLTRhNTNhNmNjMGYyZiJ9 This script: - scrapes infection and de...
import os import glob from catsndogs.data import get_training_data folder = get_training_data() cats = glob.glob(os.path.join(get_training_data(), "cat", "*.jpg")) dogs = glob.glob(os.path.join(get_training_data(), "dog", "*.jpg"))
import json import os import urllib.request, urllib.parse, urllib.error from io import StringIO import csv from tests.fixtures.base_test import BasePlenarioTest, fixtures_path # Filters # ======= # Constants holding query string values, helps to have them all in one place. # The row counts come from executing equival...
#!/usr/bin/env python # ---------------------------------------------------------------------------- # pyglet # Copyright (c) 2006-2008 Alex Holkner # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are me...
from github import Github, GithubException import time from server import app, celery, logger from server.utils.utils import getAllFilesWPathsInDirectory from server.utils.githubUtils import createNewRepo from server.api.messageApi import postEvent @celery.task def add(x, y): return x + y @celery.task(bind=True)...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Apr 27 08:49:25 2017 Recursive execution @author: laci """ import multiprocessing as mp import time import sparse_methods as m import sparse_move as sm import sparse_contract as sc import graph startTime = time.time() lo = 0 up = 15000 g = graph.BA...
from .boxes import * from .demo_utils import * from .logger import WandbLogger, setup_logger from .model_utils import * from .visualize import *
# -*- coding:utf-8 -*- import turbo.log from base import BaseHandler from helpers import dc as dc_helper from db.conn import dc_files logger = turbo.log.getLogger(__file__) db_dc = dc_helper.dc class HomeHandler(BaseHandler): _get_params = { 'option': [ ('skip', int, 0), ('li...
import numpy as np import pandas as pd from glob import glob import os import sys from morphomnist import io def get_data(path): df_train = pd.read_csv(os.path.join(INPUT_PATH, 'train-morpho.csv')) df_test = pd.read_csv(os.path.join(INPUT_PATH, 't10k-morpho.csv')) return df_train, df_test def uniform_res...
from django.urls import include, re_path urlpatterns = [ re_path(r"^", include("dpaste.urls.dpaste_api")), re_path(r"^", include("dpaste.urls.dpaste")), re_path(r"^i18n/", include("django.conf.urls.i18n")), ] # Custom error handlers which load `dpaste/<code>.html` instead of `<code>.html` handler404 = "dp...
import itertools def chunks( iterable, size=1000 ): """ Make digestible chunks of something that can be iterated Arguments --------- iterable: list, tuple, generator Just have to support the iter function will break it in digestible chunks size: size of the digestibles chunks ...
DATABASES = {'default': {'ENGINE': 'django.db.backends.', 'NAME': '', 'HOST': '', 'USER': '', 'PASSWORD': '', 'PORT': ''}} DEBUG = True INSTALLED_APPS = ('django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'django.contrib.messages', 'django.contrib.staticfiles') ROOT...
from Crypto.PublicKey import RSA from Crypto.Cipher import PKCS1_OAEP from Crypto.Signature import PKCS1_v1_5 from Crypto.Hash import SHA256 from Crypto.Random import new class Client: """! Client is created with a 4096 bit RSA key pair. The public key is exported then hashed with sha256. The hex outp...
__copyright__ = 'Copyright 2018-2021, The RADICAL-Cybertools Team' __license__ = 'MIT' from .base import RMInfo, ResourceManager # ------------------------------------------------------------------------------ # class Debug(ResourceManager): # -----------------------------------------------------------------...
import os from yUMItools.datasim import * import numpy as np import matplotlib.pyplot as plt def test__read_fasta_file(): import Bio.Seq # filepath test_data_fasta_filepath = 'test_data/reference_sequence/Rp0-reference.fa' # create sequence object and load fasta file s = TestTube(test_data_fast...
import os import random import numpy as np from decord import VideoReader from decord.base import DECORDError def _get_default_test_video(): return VideoReader(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..', '..', 'examples', 'flipping_a_pancake.mkv'))) def _get_corrupted_test_video(): ret...
# -*- coding: utf-8 -*- import sqlite3 from .cost_breakdown import CostBreakdown from .stock import Stock from .manufacturing_expense import ManufacturingExpense from .me2 import ManufacturingExpense2 from .product_price import ProductPrice from .product_cost import ProductCost class TableAdaptorFactory: shortc...
import frappe import latte from frappe.utils import formatdate, format_datetime from frappe.core.doctype.data_export.exporter import DataExporter from frappe.core.doctype.data_export.exporter import export_data def add_data_row(self, rows, dt, parentfield, doc, rowidx): d = doc.copy() meta = frappe.get_meta(dt) if ...
import numpy as np def compute_homography(src, dst): """computes the homography from src, to dst using inversion method.""" if src.shape[1] == 2 : p1 = np.ones((len(src),3),'float64') p1[:,:2] = src elif src.shape[1] == 3 : p1 = src if dst.shape[1] == 2 : p2 = n...
# coding=utf-8 # @Time : 2021/1/6 10:45 # @Auto : zzf-jeff import torch from tqdm import tqdm import time import numpy as np def eval(model, valid_dataloader, post_process_class, metric_class): if isinstance(model, torch.nn.DataParallel): # TypeError: expected sequence object with len >...
import json class App(object): def __init__(self): self.routers = dict() def router(self, path): def decorator(fun): self.routers[path] = fun return fun return decorator def server(self, path, arg = None): fun = self.routers.get(path) if fu...
import tensorflow as tf import keras.backend as K import numpy as np from config import get_config def log_normals_loss(y_true, y_pred): # Get batch sie config, unparsed = get_config() batch_size = config.batch_size # Print batch y_true = tf.Print(y_true, [y_true], message='y_true', summarize=30) y_pred = tf.Pri...
## module midpoint ''' yStop = integrate (F,x,y,xStop,tol=1.0e-6) Modified midpoint method for solving the initial value problem y' = F(x,y}. x,y = initial conditions xStop = terminal value of x yStop = y(xStop) F = user-supplied function that returns the array F(x,y) =...
""" frpy A simple reverse proxy to help you expose a local server behind a NAT or firewall to the internet. (a imitator of frp) [Architecture] frpy_server —— worker_server —— user_side | frpy_client —— local_server_side [Usage] -- server side -- # start frpy.py server on 8000 port $ python frpy.py server 0.0.0.0 8000...
import pickle import operator def explore_model(standardize, model_type='rf', for_submission=True): submission = "_submission" if for_submission else "" standardized = "_standardized" if standardize else "" model_file_name = "08_reg_model_" + model_type + standardized + submission + ".p" print("Opening " + model...
"""MongoDB queries for titanic database.""" import pymongo if __name__ == "__main__": # Username and password to be set by user. username = "TODO" cluster = "TODO" password = "TODO" group = "TODO" # Create access to MondoDB rpg database. s = "mongodb+srv://{}:{}@{}-{}.mongodb.net/titanic...
valor = int(input('Qual valor você quer sacar? R$')) total = valor dinheiro = 50 totaldinheiro = 0 while True: if total >= dinheiro: total -= dinheiro totaldinheiro += 1 else: if totaldinheiro > 0: print(f'Total de {totaldinheiro} cédulas de R${dinheiro}') ...
# Generated by Django 3.1.7 on 2021-08-04 19:54 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('experiments', '0003_auto_20210804_1906'), ] operations = [ migrations.RenameField( model_name='battery', old_name='insturcti...
from vnpy.app.cta_strategy import ( CtaTemplate, StopOrder, TickData, BarData, TradeData, OrderData, BarGenerator, ArrayManager, ) class DoubleMaStrategy(CtaTemplate): author = " use Python traders " fast_window = 10 slow_window = 20 fast_ma0 = 0.0 fast_ma1 = 0.0 ...
""" Create a 2-dimensional array, , of empty arrays. All arrays are zero indexed. Create an integer, , and initialize it to . There are types of queries: Query: 1 x y Find the list within at index . Append the integer to the . Query: 2 x y Find the list within at index . Find the value of element where is the nu...
default_app_config = 'django_sms_toolkit.apps.DjangoSMSToolkitConfig'
""" Feature agglomeration. Base classes and functions for performing feature agglomeration. """ # Author: V. Michel, A. Gramfort # License: BSD 3 clause import numpy as np from ..base import TransformerMixin from ..utils.validation import check_is_fitted from scipy.sparse import issparse ###############...
# Copyright 2011 Branan Purvine-Riley and Adam Johnson # # 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 ...
"""Definitions of the segment classes.""" # flake8: noqa: F401 from sqlfluff.core.parser.segments.base import BaseSegment, UnparsableSegment from sqlfluff.core.parser.segments.generator import SegmentGenerator from sqlfluff.core.parser.segments.raw import ( RawSegment, CodeSegment, UnlexableSegment, C...
""" vodka data handlers, allows to modify data retrieved by vodka data plugins """ import vodka.config import vodka.component import vodka.storage import vodka.data.data_types import vodka.util handlers = {} class register(vodka.util.register): class Meta: objects = handlers name = "data handler...
def search_and_set(mem_blocks,block_id,thread_id): if block_id not in mem_blocks: mem_blocks[block_id] = [0]*8 mem_blocks[block_id][thread_id] = 1
# Copyright 2016 Google LLC 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 applicable law or ag...
__author__ = "Gordon Ball <gordon@chronitis.net>" __version__ = "0.4.3" from .ipyrmd import ipynb_to_rmd, rmd_to_ipynb, ipynb_to_spin, spin_to_ipynb
import numpy as np from numpy.testing import assert_allclose import unittest from pb_bss_eval.distribution import CACGMMTrainer from pb_bss_eval.distribution import ComplexAngularCentralGaussian from pb_bss_eval.distribution import sample_cacgmm import itertools from pb_bss_eval.utils import labels_to_one_hot def sol...
import torch import torch.nn as nn import numpy as np import os import glob from libs.utils.data_utils import extract_length_angles class RnnDetector(nn.Module): def __init__(self): super(RnnDetector, self).__init__() def forward(self, model, inputs): outs = model(inputs) return out...
#!/usr/bin/python # -*- coding: utf-8 -*- import os; import sys; import datetime; import string; import shutil; EPSILON = 1e-10; Product_volume_dict = {}; START_TIME='20:55:00'; END_TIME='02:45:00'; if len(sys.argv) != 3: print 'Usage: ./cmd src_md_dir dest_dir'; quit(); src_md_path = sys.argv[1]; dest_dir =...
import datajoint as dj # -------------- group_shared_topopaper_horst_imaging -------------- schema = dj.Schema('group_shared_topopaper_horst_imaging') vmod0 = dj.VirtualModule('vmod0', 'group_shared_topopaper_main_imaging') @schema class AlignmentPoints(dj.Manual): definition = """ # User specified align...
from mitmproxy.web import master __all__ = ["master"]
#!/usr/bin/env python """ Unittests for the kuralib middleware """ import unittest, sys, string, codecs, time import kuraapp class KuraAppTestCase(unittest.TestCase): def testCreateRepository(self): kuraapp.initApp("boud", "andal", "", "localhost") app = kuraapp.app assert len(app.tabl...
import unittest from buzzer import QuestionDataset, RNNBuzzer, create_feature_vecs_and_labels import numpy as np import torch import torch.nn as nn torch.set_printoptions(precision=10) ex1 = {'feature_vec':torch.FloatTensor([[[0.1334, 0.1011, 0.0932], [0.1501, 0.1001, 0.0856], [0.1647, 0.0987, 0.0654]]]).view(1, 3, ...
# Copyright 2021 Northern.tech AS # # 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 ag...
import bisect import functools import itertools import logging import time from uuid import UUID from abc import ( ABCMeta, abstractmethod ) from typing import ( cast, Dict, Iterable, List, Set, Tuple, Type, TYPE_CHECKING, Union, Optional, ) from hvm.types import Timest...
import time import uuid from minifw.db.orm import Model, StringField, BooleanField, FloatField, TextField def next_id(): return '%015d%s000' % (int(time.time() * 1000), uuid.uuid4().hex) class User(Model): __table__ = 'users' id = StringField(primary_key=True, default=next_id, column_type='varchar(50)'...
import hashlib # Укажите ваше ФИО. name = 'Стасенко Дмитрий Сергеевич' reviewers = [ 'lodthe', 'darkkeks', 'danlark1' ] print(reviewers[int(hashlib.md5(name.encode('utf-8')).hexdigest(), 16) % len(reviewers)])
import gettext import os.path from climsoft_api.api.stationelement.schema import StationElementWithStation from climsoft_api.utils.response import translate_schema ROOT_DIR = os.path.dirname( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) ) LOCALE_DIR = os.path.j...
#!/usr/bin/env python # Copyright 2014 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Runs a test repeatedly to measure its flakiness. The return code is non-zero if the failure rate is higher than the specified thresh...
# -*- coding: utf-8 -*- import configparser import os cf = configparser.ConfigParser() cf.read("/etc/face_recognition/config/db.ini") db_host = cf.get("database", "host") db = cf.get("database", "db") db_user = cf.get("database", "user") db_pass = cf.get("database", "pass") def get_db_host(): return db_host def ...
""" List Events - Small program used to list all events in a match and give examples to those events. """ import datetime import json from gamelocker import wrapper api_key = "API_KEY_HERE" # VG API Key api = wrapper.Vainglory(api_key) # Vainglory game modes game_modes = {"casual": "casual", "ranke...
import numpy as np import matplotlib.pyplot as plt import csv #PATH1 = '/Users/alihanks/Google Drive/NQUAKE_analysis/PERM/PERM_data/lbnl_sensor_60.csv' PATH1 = '/Users/alihanks/k40_test_2019-02-06_D3S.csv' def make_int(lst): ''' Makes all entries of a list an integer ''' y = [] for i in lst: y.app...
import numpy as np import torch import torch.nn.functional as functional from grasp_det_seg.modules.losses import smooth_l1 from grasp_det_seg.utils.bbx import ious, calculate_shift, bbx_overlap, mask_overlap from grasp_det_seg.utils.misc import Empty from grasp_det_seg.utils.nms import nms from grasp_det_seg.utils.pa...
from django.urls import path from . import views app_name = "accounts" urlpatterns = [ path("logg-inn/", views.login_user, name="login"), path("registrer/", views.register, name="register"), path("logg-ut/", views.logout_user, name="logout"), ] """ accounts/ login/ [name='login'] accounts/ logout/ [nam...
from peewee import * from playhouse.fields import CompressedField from playhouse.fields import PickleField from .base import db from .base import ModelTestCase from .base import TestModel class Comp(TestModel): key = TextField() data = CompressedField() class Pickled(TestModel): key = TextField() d...
from .models import Notification_Id, Analytics_event, Notification from rest_framework import generics, permissions from django.views.decorators.csrf import csrf_exempt from rest_framework.parsers import JSONParser from rest_framework import status from django.http import JsonResponse from django.db import IntegrityErr...
n = int(input()) for i in range(1,n+1): start=(i*5)-4 lst=[e for e in range(start,start+5)] if i%2==1: print(*lst) if i%2==0: lst.reverse() print(*lst)
from flask import Flask, render_template, session, url_for, escape, request, redirect from app import app import json, random from os import listdir, system, chdir from os.path import isfile, join, abspath, dirname jspath = abspath(join(dirname( __file__ ), '..', '..','javascript')) @app.route('/group1', methods=['PO...
""" Testing module for the DDoS implementation of the blockchain client. """ import hashlib import time from queue import Queue import nacl.encoding import nacl.signing import chains import utils VERSION = 0.7 class TestDDos(object): """ Testcase used to bundle all tests for the DDoS blockchain """ ...
from shortest_path import gen_data, solve_model, solve_all_pairs, solve_tree_model, critical_tasks def main(): import sys import random import tableutils n=13 header = ['P'+str(i) for i in range(n)] if len(sys.argv)<=1: print('Usage is main [data|run|all|tree|pm] [seed]') return...
import transaction import zeit.cms.checkout.interfaces import zeit.content.article.testing import zope.component class RecensionTest(zeit.content.article.testing.FunctionalTestCase): def setUp(self): super(RecensionTest, self).setUp() repository = zope.component.getUtility( zeit.cms.r...
'''Example of autoencoder model on MNIST dataset using 2dim latent The autoencoder forces the encoder to discover 2-dim latent vector that the decoder can recover the original input. The 2-dim latent vector is projected on 2D space to analyze the distribution of codes in the latent space. The latent space can be navig...
import unittest import asyncio import canopy class RequestWithRetryTest(unittest.TestCase): def test_it_should_return_result_if_no_error(self): request = DummyRequest(0) result = canopy.run(canopy.request_with_retry(lambda: request.execute('abc'), 'request', True)) self.assertEqual(resul...
# Copyright (c) OpenMMLab. All rights reserved. import torch import torch.nn as nn from ..builder import LOSSES @LOSSES.register_module() class AdaptiveWingLoss(nn.Module): """Adaptive wing loss. paper ref: 'Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression' Wang et al. ICCV'2019. Args...
# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT license. """ tf2onnx.rewriter.rnn_unit_base - lstm support """ from __future__ import division from __future__ import print_function from __future__ import unicode_literals import logging import numpy as np from onnx import onnx_pb ...
import unittest import unishark import os import shutil from unishark.util import get_interpreter class TestProgramTestCase(unittest.TestCase): def setUp(self): super(TestProgramTestCase, self).setUp() self.dest = 'results' if os.path.exists(self.dest): shutil.rmtree(self.dest)...
# -*- coding: utf-8 -*- import time from collections import namedtuple from application import Application from middleware import Middleware from render import render_basic # TODO: what are some sane-default intervals? Hit = namedtuple('Hit', 'start_time url pattern status_code ' ' elapsed_time con...
import datetime from datetime import date import pytest from resources.models import Period, Day from .utils import assert_hours def daterange(start_date, end_date): for n in range((end_date - start_date).days): yield start_date start_date += datetime.timedelta(days=1) @pytest.mark.django_db de...
import os import numpy as np import pandas as pd import pytest from scvi.data import synthetic_iid from scvi.model import PEAKVI, SCANVI, SCVI, TOTALVI def single_pass_for_online_update(model): dl = model._make_data_loader(model.adata, indices=range(0, 10)) for i_batch, tensors in enumerate(dl): _, ...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.conf import settings from django.db import models, migrations import getpaid.abstract_mixin class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.GETPAID_ORDER_MODEL), ] operat...
#!/usr/bin/env python # -*- coding: utf-8 -*- file="lines.txt" f = open(file,"r") for line in f: print line
import sys import time import frida import random import traceback from time import sleep from bLib.const import * from bLib.Mutator import Mutator from bLib.Executor import Executor from bLib.FuzzServer import FuzzServer from bLib.Cov import BreakPointCoverage from bLib.FuzzClient import BreakpointClient inp_path =...
import sys import itertools as it from collections import defaultdict from random import random import numpy as np import numpy.linalg as la from numpy.random import choice import mdtraj as mdj from wepy.boundary_conditions.boundary import BoundaryConditions from wepy.resampling.distances.openmm import OpenMMRebindi...
import os, sys def get_token(): config_file = os.path.join(os.path.expanduser('~'), '.todoist') token = None if os.path.isfile(config_file): with open(config_file) as f: token = f.read().strip() if not token: sys.exit('Put your Todoist API token in ~/.todoist') else: ...
import urllib2 from BeautifulSoup import BeautifulSoup from win32com.client import Dispatch import csv, sys, os import codecs import time import datetime import win32file import random import re def get_data(majors): for con in majors: print con['href'] url=con['href'] url = 'https://servic...
"""User auth token columns Revision ID: bdb195ed95bb Revises: 534c4594ed29 Create Date: 2016-07-28 15:38:18.889151 """ # revision identifiers, used by Alembic. revision = 'bdb195ed95bb' down_revision = '534c4594ed29' from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto generated by ...
from __future__ import print_function from . import utils from .utils import * from . import asp from .asp import * from . import nn from .nn import * __all__ = utils.__all__ __all__ += asp.__all__ __all__ += nn.__all__
import sqlite3 class db (object): def __init__(self, filename): self._ctx = sqlite3.connect(filename) self._ctx.cursor().execute(''' create table if not exists guild ( guildid integer primary key, channel integer null ) ''') se...
from typing import Tuple, Union, Dict, List, Iterable, Optional from torch.utils.data import Dataset from .common import LABEL_KEY, SENT_KEY, ANTI_KEY, form_sentence, chunks_from_iterable class LevyHolt(Dataset): def __init__( self, txt_file: str, num_patterns: int = 1, num_tokens_per_pat...
"""Load all entry poins""" import os import sys from logging import basicConfig from argparse import ArgumentParser, SUPPRESS, REMAINDER from wmc import __version__ from wmc.dispatch import load_entry_points def help_commands(): """Print the command help.""" commands = load_entry_points() for cls in comma...
#!/usr/bin/env python import pandas as pd import sys from argparse import ArgumentParser def read_df(f): df = pd.read_csv(f, header=0, sep="\t", index_col=0) return df def calc_means(dfsum, sample_info, info_col): # Create dictionary to rename columns to their corresponding samplegroup rename_dict ...
import random import time f = open("python-basic-project/unit09/data.txt") lines = f.readlines() f.close() random.shuffle(lines) for line in lines: line = line.strip() print(line) start = time.time() user = input("") end = time.time() if line.strip() == user: elapsed = end - start...
import PySAM.BatteryStateful as bt def test_stateful(): b = bt.new() params = {"control_mode": 0, "input_current": 1, "chem": 1, "nominal_energy": 10, "nominal_voltage": 500, "initial_SOC": 50.000, "maximum_SOC": 95.000, "minimum_SOC": 5.000, "dt_hr": 1.000, "leadacid_tn": 0.000, "...
nome = str ( input ('Digite o seu nome completo: ')) print ('Seu nome em letras maisculas fica assim: ', nome.upper()) print ('seus nome em letras minsuculas fica assim: ', nome.lower()) print ('Quantidade de letras do seu nome: ', len ( nome.replace(' ',''))) nome = nome.split(' ') print ('{}'.format (len(nome[0]))) ...
#!/usr/bin/python from apiclient.discovery import build from apiclient.errors import HttpError from oauth2client.tools import argparser import datetime import dateutil.relativedelta # PUT YOUR DEVELOPER KEY HERE DEVELOPER_KEY = "## PUT YOUR KEY HERE" YOUTUBE_API_SERVICE_NAME = "youtube" YOUTUBE_API_VERSION = "v3" de...
import ujson from typing import Union, List, Optional from waio.keyboard.list import ListMainButton class KeyboardButton(ListMainButton): def __init__(self, title: str): super().__init__(title) class QuickReplyContentBase: def __init__(self, text: str, caption: str): self.text = text ...
from pyot.utils import loop_run from pyot.models import lol def test_status(): status = loop_run(lol.Status(platform="na1").get()) status.dict(recursive=True)
#!/usr/bin/python # requires # urllib3, python-pip # pip install boto BeautifulSoup import sys import os from Config import Config config = Config() config.create_html = True config.create_movie = True config.create_snapshot = True config.data_file = "sample.csv" config.data_definition_file = "data.definition" con...
class Solution: def myAtoi(self, s: str) -> int: s = s.strip() if not s: return 0 if s[0] == '-': is_negative = True start_index = 1 elif s[0] == '+': is_negative = False start_index = 1 else: is_negative...
import tempfile import numpy as np import pandas as pd from paysage import batch from paysage import backends as be import pytest def test_hdf_table_batch(): # the temporary storage file store_file = tempfile.NamedTemporaryFile() # create data num_rows = 10000 num_cols = 10 df_A = pd.DataFra...
#----------------------------------------------------------------------------- # Runtime: 128ms # Memory Usage: # Link: #----------------------------------------------------------------------------- class Solution: def minDistance(self, word1: str, word2: str) -> int: word1_length, word2_length = len(wor...
#coding:utf-8 # # id: bugs.core_1009 # title: Restoring RDB$BASE_FIELD for expression # decription: RDB$BASE_FIELD for expression have to be NULL # tracker_id: CORE-1009 # min_versions: [] # versions: 2.1 # qmid: bugs.core_1009 import pytest from firebird.qa import db_factory, isql_act...
import falcon import simplejson as json import mysql.connector import config from anytree import Node, AnyNode, LevelOrderIter import excelexporters.equipmenttracking class Reporting: @staticmethod def __init__(): pass @staticmethod def on_options(req, resp): resp.status = falcon.HTTP...
""" Created on Mon Jun 14 15:24:21 2021 Represents a transaction with its inputs and outputs @author: tj """ import hashlib import struct from binascii import hexlify, unhexlify from script import BTCScript from script import DEFAULT_TX_SEQUENCE DEFAULT_TX_VERSION = b'\x02\x00\x00\x00' DEFAULT_TX_LOCKTIME = b'\x00...