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# Generated by Django 3.1.2 on 2020-12-27 10:36 from django.db import migrations, models import django.db.models.deletion import phonenumber_field.modelfields class Migration(migrations.Migration): initial = True dependencies = [ ('crm', '0001_initial'), ] operations = [ migrations...
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import os import datetime from collections import defaultdict import numpy as np from scipy import sparse from episim.ontology import Ontology from episim.plot.modeling import System, Accumulator from .data import State class EulerSimulator(object): """ Explicit Euler method """ def __init__(self, ...
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import numpy as np from sensor_msgs.msg import CameraInfo, RegionOfInterest from std_msgs.msg import Header class CameraIntrinsics(object): """A set of intrinsic parameters for a camera. This class is used to project and deproject points. """ def __init__(self, frame, fx, fy=None, cx=0.0, cy=0.0, ske...
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import logging from logging.handlers import SysLogHandler # Logging environment that can be used by the application to output syslog logging_object = logging.getLogger(__name__) logging_object.setLevel(logging.INFO) syslog_handler = logging.handlers.SysLogHandler(address='/dev/log') logging_object.addHandler(syslog_ha...
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import logging from datetime import datetime import sqlalchemy as sa import sqlalchemy.orm as so from .base import Base, Session __all__ = ["User", "Message"] logger = logging.getLogger(__name__) class User(Base): __tablename__ = "users" id = sa.Column(sa.Integer, primary_key=True) nickname = sa.Colu...
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import six from unittest import TestCase from uberlogs.private import UberStringFormatter class UberStringFormatterTests(TestCase): def setUp(self): self.formatter = UberStringFormatter() self.invalid_format = "{[blabla]" def test_raise_on_invalid_format_when_not_silent(self): with ...
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from django.conf import settings from django.db import models from redis_pubsub.models import PublishableModel class Message(PublishableModel): """ """ PUBLISH_ON_CREATE = True PUBLISH_ON_UPDATE = True from_user = models.ForeignKey(settings.AUTH_USER_MODEL) to_user = models.ForeignKey(settin...
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from functools import wraps from typing import Iterable import numpy as np import scipy.stats as scist import matplotlib.pyplot as plt from rpy2.robjects.packages import importr from rpy2.robjects.vectors import FloatVector from phat.utils import argsetter base = importr('base') utils = importr('utils') utils.choos...
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from flask_wtf import FlaskForm from wtforms import HiddenField, IntegerField, SelectField, StringField, SubmitField, ValidationError from wtforms.validators import Length, Required from .. models import EventFrameTemplate class CopyEventFrameTemplateForm(FlaskForm): name = StringField("Name", validators = [Required(...
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import os from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes from cryptography.hazmat.primitives import hashes from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC from cryptography.hazmat.backends import default_backend from stegano import lsb from flask import Flask, render_te...
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jogador = dict() lista_de_jogadores = [] lista = [] print("_"*38) contador = 0 while True: jogador["nome"] = str(input("Informe o nome do jogador: ")).strip() jogador["partidas"] = int(input("Informe quantas partidas foram jogadas: ")) jogador["gols marcados"] = [] for c in range(0, jogador["partidas"])...
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from django.apps import AppConfig import logging logger = logging.getLogger(__name__) class StockConfig(AppConfig): name = 'stock' def ready(self): from background_task.models import Task task_update_daily_stock_price = Task.objects.filter( task_name='stock.tasks.cron_update_dail...
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import threading from io import BytesIO from django.db import models import fast import time import numpy as np from PIL import Image from django.conf import settings from slide.timing import Timer from tag.models import Tag class Slide(models.Model): """ Model for whole slide image """ name = models....
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from __future__ import annotations import typing from di.api.providers import CallableProvider, CoroutineProvider from di.dependant import Dependant from xpresso.dependencies._dependencies import Depends, DependsMarker Endpoint = typing.Union[CallableProvider[typing.Any], CoroutineProvider[typing.Any]] class Endp...
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#!/usr/bin/python class Sensor: Name = "" ID = 0 UUID = 0 Type = 0 Value = 0 def __init__(self, id, type, local_id): self.ID = local_id self.UUID = id[:-1] + str(local_id) self.Type = type def SetInterval(self, interval): self.UpdateInterval = interval def SetUUID(self, dev...
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mytuple = ("Max", 28, "Boston") print(mytuple) print(type(mytuple)) mytuple2 = ("Max") ## , is needed before the closing paranthese if only one string print(mytuple2) print(type(mytuple2)) mt3 = tuple(["Max", 28, "Boston"]) ## mt indicates mytuple + number print(mt3) print(type(m...
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# coding=utf-8 # Copyright 2018 The Google AI Team Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
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import enoki as ek import pytest import mitsuba def r_inv(divisor, index): factor = 1 value = 0 recip = 1.0 / divisor while index != 0: next_val = index // divisor factor *= recip value = value * divisor + index - next_val * divisor index = next_val return value *...
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import warnings import torch from torch.utils.data.dataloader import DataLoader from torch.optim import lr_scheduler import numpy as np from models import * from dataloader import Aff2CompDataset, SubsetSequentialSampler, SubsetRandomSampler, Prefetcher from tqdm import tqdm import os import time from sklearn.metrics i...
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def show_help(): print("Carbon Intensity API Help") def show_bad_argument_help(): print("app -e generation")
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import os def dir_setup(path): if not os.path.exists(path): os.makedirs(path) """def dir_setup(path): if not os.path.isdir(path): dir_setup(os.path.split(path)[0]) else: return os.mkdir(path)"""
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# -*- coding: utf-8 -*- '''Autor: Alessandra Souza Data: 05/05/2017 Objetivo: Calcular o volume de uma esfera. ID Urionlinejudge: 1011''' R=float(input()) vol=((4.0/3)*3.14159)*R**3 print("VOLUME = %.3f" %vol)
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import numpy as np import tensorflow as tf import tensorlayer as tl import datetime from log import LOG_PATH import os import src.visualization as vis from src.config import Config as con import tensorflow.contrib as tfcontrib server_count = con.server_count server_state_dim = con.server_state_dim total_server_state_d...
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# 2 * n 타일링 def solution(n): dp = [0] * 60001 dp[0], dp[1] = 1, 1 for i in range(2, n + 1): dp[i] = (dp[i - 1] + dp[i - 2]) % 1000000007 return dp[n] print(solution(4))
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api_key = None def configure(key=None): global api_key api_key = key
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from setuptools import setup, find_packages setup( name="Recourse", version="0.1.1", packages=find_packages(), install_requires=open('requirements.txt').read().split('\n') )
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import pandas as pd ##################### # Load Dataset # https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data df = pd.read_csv('../data/wdbc.data', header=None) from sklearn.preprocessing import LabelEncoder X = df.loc[:, 2:].values y = df.loc[:,1].values le = LabelEncoder() ...
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import argparse import os from PIL import Image def get_args(): parser = argparse.ArgumentParser(description='Transform tga files to jpg') parser.add_argument('input_dir', type=str, help='Path of input directory containing tga files') parser.add_argument('output_dir', type=str, help='Path of output direct...
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# Copyright 2016-2020 Blue Marble Analytics LLC. # # 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...
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import logging import random from typing import Dict, List, Tuple, Union from construction_finder import codelets, frame logger = logging.getLogger(f"{__name__}") class SpinResult: def __init__( self, temp_modifier: float, workspace_modifiers: Union[List[codelets.WorkSpaceModifier], None...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Default configurations of model configuration, training. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import os.path as osp from typing import Dict CONFIG = { 'is_train': True, ...
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#!/usr/bin/env python3 ############################################################################# ## ## Copyright (C) 2018 The Qt Company Ltd. ## Contact: https://www.qt.io/licensing/ ## ## This file is part of the plugins of the Qt Toolkit. ## ## $QT_BEGIN_LICENSE:GPL-EXCEPT$ ## Commercial License Usage ## Licensee...
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from bs4 import BeautifulSoup from urllib.request import urlopen import re # open and read web page, decode it if it contains Chinese html = urlopen('https://mofanpy.com/static/scraping/table.html').read().decode('utf-8') print(html) # 'lxml' is parser name soup = BeautifulSoup(html, features='lxml') # search by tag...
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import os import matplotlib # get_ipython().run_line_magic("matplotlib", "widget") # i.e. %matplotlib widget import matplotlib.pyplot as plt from ophyd import Device, Component, EpicsSignal from ophyd.signal import EpicsSignalBase from ophyd.areadetector.filestore_mixins import resource_factory import uuid import os...
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# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: snakeskin/protos/peer/peer.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from ...
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#!/usr/bin/python3 ''' test for the place model here. ''' import unittest from models.base_model import BaseModel from models.place import Place class TestUser(unittest.TestCase): ''' Testing Place class ''' def setUp(self): ''' Create instance for place. ''' ...
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from flask import Flask from flask_bootstrap import Bootstrap from flask_mail import Mail from flask_moment import Moment from flask_sqlalchemy import SQLAlchemy from sqlalchemy import MetaData from flask_login import LoginManager from flask_msearch import Search from config import config from jieba.analyse import Chin...
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import asyncio import json from ..utils import DEFAULT_SETTINGS from ..utils.DEFAULT_ENCRYPTION import SERVER_encryption, CLIENT_encryption def json_dumper(data): return bytes(json.dumps(data), encoding=DEFAULT_SETTINGS.ENCODING) def json_loader(data): return json.loads(str(data, encoding=DEFAULT_S...
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#! /usr/bin/env python3 #-- harvest scheduler that runs on the compute pool nodes import argparse import time import sys import logging import os import psutil from applicationinsights import TelemetryClient from applicationinsights.logging import LoggingHandler from getargs import getargs import azlog azlog.color=...
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#!/usr/bin/env python3 #loading tf is slow, so don't do it unless we're using it USE_TENSORFLOW = False import collections import numpy as np import os import pickle if USE_TENSORFLOW: import tensorflow as tf from tensorflow import keras os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' import modelInput #use...
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import logging import subprocess import time def wait_until(cmd): logging.debug('waiting for %s\n' % cmd) while subprocess.call(cmd, shell=True) != 0: time.sleep(1)
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# -*- coding: utf-8 -*- ZESTY_TRACKING_CLASSES = [ 'zesty_metrics.tracking.UserAccounts', ] ZESTY_TIMING_SAMPLE_RATE = 1 ZESTY_TIME_RESPONSES = True ZESTY_TRACK_USER_ACTIVITY = True
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import torch import torch.nn as nn import torch.nn.functional as F class Bottleneck(nn.Module): def __init__(self, in_channels, out_channels): super(Bottleneck, self).__init__() self.conv = nn.Sequential( nn.Conv2d(in_channels, in_channels, 1, padding=0, bias=False), ...
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import math from datetime import datetime AVAILABLE_ACTIONS = [{'action': 'add', 'admin_required': False, 'operator': '+'}, {'action': 'subtract', 'admin_required': False, 'operator': '-'}, {'action': 'multiply', 'admin_required': Fa...
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""" API v1 models. """ import logging from itertools import groupby from django.db import transaction from opaque_keys import InvalidKeyError from opaque_keys.edx.keys import CourseKey from common.djangoapps.course_modes.models import CourseMode from lms.djangoapps.verify_student.models import VerificationDeadline ...
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import sys import pandas as pd import numpy as np import itertools from sklearn.preprocessing import RobustScaler from sklearn.tree import DecisionTreeClassifier from evaluate_model import evaluate_model dataset = sys.argv[1] pipeline_components = [RobustScaler, DecisionTreeClassifier] pipeline_parameters = {} min_i...
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''' Wrapper function to run PPO algorithm for training ''' import numpy as np import matplotlib.pyplot as plt import time import math import logging from scipy.optimize import minimize, LinearConstraint # custom libraries from training.PPO.run_helper import buyerPenaltiesCalculator, buyerUtilitiesCalculator, evaluati...
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import pytest from scripts.custom import clean_dateTime @pytest.mark.parametrize( "test_input,expected", [ ("2015", "2015"), ("2015-02", "2015-02"), ("201502", "2015-02"), ("2015-02-07", "2015-02-07"), ("20150207", "2015-02-07"), ("2015-02-07T13:28:17", "2015-0...
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import os import traceback from dataclasses import dataclass from typing import Any, Callable, List, Optional, Union import pytorch_pfn_extras as ppe import torch from pytorch_pfn_extras.training import extension, extensions from torch import nn from torch.utils.data import DataLoader from mlprogram import distribute...
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import matplotlib.pyplot as plt import math import numpy as np class Visualization: """ This class contains methods for reducing the dimensions of the points to 2-D and visualization of the reduced points. Attributes ---------- OUTLIERS : list List of points marked as outlier...
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from operator import add, itruediv, mul, sub ops = [add, sub, mul, itruediv] a = float(input("Inserisci un numero: ")) b = float(input("Inserisci un altro numero: ")) op = int( input("Inserisci un operatore (0 per addizione, 1 per sottrazione, 2 per moltiplicazione oppure 3 per divisione: ") ) print(ops[op](a, b)...
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from robot.api.parsing import ModelTransformer, get_model, ModelVisitor, Token import os, sys keywordlist = [] other_keywords = [] used_keywords = [] class ext_ExtraIndentForKeywordArguments(ModelTransformer): def __init__(self): self.cont = 0 def visit_File(self, node): # Get keywords in py...
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from typing import Tuple import pandas as pd import numpy as np import matplotlib.pyplot as plt from Common.Strategies.TechIndicators.AbstractTechStrategy import AbstractTechStrategy from Common.TechIndicators.MacdIndicator import MacdIndicator class MacdStrategy(AbstractTechStrategy): _macd_indicator: MacdIndica...
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#!/usr/bin/env python # -*- coding: utf-8 -*- ################################################################### # Author: Mu yanru # Date : 2018.5 # Email : muyanru345@163.com ################################################################### from collections import defaultdict import utils from qt import * from s...
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from __future__ import division, print_function, generators import numpy as np pi = np.pi def techChange_rhs(uB_pB, t, rvar, pBmin, pE, delta, smax, sBmax): uB, pB = uB_pB if sBmax == 0.: p = pE else: if smax < sBmax * uB: p = pE + smax / uB else: p = s...
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# -*- coding: utf-8 -*- """ :Authors: cykooz :Date: 23.06.2019 """ from pathlib import Path import piexif import pytest from PIL import Image from cykooz.heif.errors import HeifError from cykooz.heif.image import RawHeifImage from cykooz.heif.pil import register_heif_opener @pytest.fixture(scope='session', autouse=...
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#!/usr/bin/env python ''' Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License");...
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import bpy from bpy.props import * from bpy.types import Operator, AddonPreferences class MFT_PT_PanelPose(bpy.types.Panel): bl_label = "Bones" bl_space_type = 'VIEW_3D' bl_region_type = 'UI' bl_context = "posemode" bl_category = 'Mifth' # bl_options = {'DEFAULT_CLOSED'} def draw(self, co...
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""" Fabfile for deploying and setting up code that looks like the production environment. it also makes it easy to start up the servers If you want to run on the localhost you may need to first do:: rm -rf ~/.ssh/known_hosts """ from __future__ import with_statement import os import re from fabric.api import ...
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from channels.routing import ProtocolTypeRouter from django.urls import re_path from . import consumers websocket_urlpatterns = [ re_path(r'/websocket', consumers.VNCConsumer) ]
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# Copyright (C) 2016 Intel Corporation # Released under the MIT license (see COPYING.MIT) from oeqa.core.case import OETestCase from oeqa.utils.package_manager import install_package, uninstall_package class OERuntimeTestCase(OETestCase): # target instance set by OERuntimeTestLoader. target = None def se...
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""" scaffoldgraph tests.analysis.test_general """ from scaffoldgraph.analysis import get_singleton_scaffolds, get_virtual_scaffolds from ..test_network import long_test_network def test_get_virtual_scaffolds(network): v = get_virtual_scaffolds(network) assert len(v) == 19 def test_get_singleton_scaffolds(n...
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import math import time t1 = time.time() N = 1000000 n = (N+1)//2 p = [True]*(n) i = 1 prime = [2] while i < n: if p[i]: t = 2*i+1 prime.append(t) j = i while j < n: p[j] = False j += t i += 1 def isPrime(item): root = math.floor(math.sqrt...
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from django.apps import AppConfig class SecretConfig(AppConfig): name = 'secret'
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import torch import torch.nn as nn from collections import OrderedDict class AdapterLayer(nn.Module): def __init__(self, input_size, reduction_factor): super(AdapterLayer, self).__init__() self.skip_adapter = False self.adapter = nn.Sequential(nn.Linear(input_size, input_size//reduc...
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import unittest import os import re import subprocess class TestPrependError(unittest.TestCase): def test_symmain_directory(self): self.assertIn("LLVMBIN", os.environ, "Path to llvm-bin not set") self.assertIn("KLEEBIN", os.environ, "Path to klee-bin not set") bitcodefile = "bin/klee_sym...
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import os import subprocess from typing import Optional from hydrus import hydrus_log_analyzer from hydrus.hydrus_deployer_interface import IHydrusDeployer from simulation.simulation_error import SimulationError from utils import path_formatter class _HydrusDesktopDeployer(IHydrusDeployer): LOG_FILE = "simulatio...
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from openprocurement.api.utils import APIResource, json_view, context_unpack, get_now, generate_id from openprocurement.framework.core.utils import ( submissionsresource, apply_patch, save_qualification, ) from openprocurement.framework.core.validation import ( validate_patch_submission_data, valida...
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from __future__ import division from torch.autograd import Variable import cv2 import numpy as np import torch def bbox_iou(box1, box2): # returns IoU of two bounding boxes b1_x1, b1_y1, b1_x2, b1_y2 = box1[:, 0], box1[:, 1], box1[:, 2], box1[:, 3] b2_x1, b2_y1, b2_x2, b2_y2 = box2[:, 0], box2...
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class Solution: def sortArrayByParityII(self, A: List[int]) -> List[int]: A.sort(key=lambda x: (x % 2 != 0)) b = [] for i in range(int(len(A) / 2)): b.append(A[i]) b.append(A[-(1+i)]) return b # ---------- 320ms, 15.9MB ---------- # class Solution: def so...
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from rabbitConsumer import * from socketConsumer import SocketConsumer from dlx import * import threading import sys if __name__ == '__main__': work_with = sys.argv[1] r_k = ['*.jpg', '*.jpeg', '#'] threads = [] dlx = ReconnectingDlx() threads.append(threading.Thread(target=dlx.run)) for j...
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"""Mapeamento das tabelas para persistir os processos datajud Revision ID: 6fdbb9233bd6 Revises: 8d2eb6149b1d Create Date: 2020-10-18 09:22:06.650559 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '6fdbb9233bd6' down_revision = '8d2eb6149b1d' branch_labels = N...
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""" A set of CC412022, CC416168 were run back to back without blanks on 2019-11-12. Rough quantification is done by the below. """ __package__ = 'Z' from datetime import datetime from settings import CORE_DIR, DB_NAME from IO.db import connect_to_db, GcRun, Integration, Standard, SampleQuant from processing import b...
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import logging import sys from datacatalog_fileset_enricher import datacatalog_fileset_enricher_cli if __name__ == '__main__': logging.basicConfig(level=logging.INFO) argv = sys.argv datacatalog_fileset_enricher_cli.\ DatacatalogFilesetEnricherCLI.run(argv[1:] if len(argv) > 0 else argv)
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# Copyright (C) 2013 Peter Rowlands """csgo events module Contains event classes for CS:S and CS:GO events """ from __future__ import absolute_import, unicode_literals from future.utils import python_2_unicode_compatible from .generic import (BaseEvent, PlayerEvent, PlayerTargetEvent, KillEvent, ...
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import re class Telefone: padrao = "([0-9]{2,3})?([0-9]{2})([0-9]{4,5})([0-9]{4})" def __init__(self, telefone): if self.valida_telefone(telefone): self._numero = telefone else: raise ValueError("Número Incorreto!") def __str__(self): return self.format_n...
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# Listing_19-1.py # Copyright Warren & Carter Sande, 2013 # Released under MIT license http://www.opensource.org/licenses/mit-license.php # Version $version ---------------------------- # Trying out sounds in Pygame import pygame pygame.init() pygame.mixer.init() screen = pygame.display.set_mode([640,480]) pygame....
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import six import docker_emperor.logger as logger from docker_emperor.nodes.context import Context def run(root, *args, **kwargs): name = args[0].strip() if args else None if name: if name in root.project['contexts']: root.project.config['context'] = name logger.success(u'Cont...
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#!/usr/bin/env python from __future__ import absolute_import from __future__ import division from __future__ import print_function import sys import time from instance_lock import InstanceLock ################################################################################ def main(): print(sys.argv[0]) ...
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import modelexp from modelexp.experiments.sas import Sans from modelexp.models.sas import Sphere from modelexp.data import XyeData from modelexp.fit import LevenbergMarquardt from modelexp.models.sas import InstrumentalResolution app = modelexp.App() app.setExperiment(Sans) dataRef = app.setData(XyeData) dataRef.lo...
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#!/usr/bin/python2.7 # -*- coding:utf-8 -*- # Author: NetworkRanger # Date: 2019/1/9 上午12:35 """ 使用ProxyHandler在程序中动态设置代理 """ import urllib2 proxy = urllib2.ProxyHandler({'http': '127.0.0.1:8087'}) opener = urllib2.build_opener([proxy]) urllib2.install_opener(opener) response = urllib2.urlopen('http://www.zhichu.com...
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#!/usr/bin/env python import argparse import logging from metasv.generate_final_vcf import convert_metasv_bed_to_vcf if __name__ == "__main__": FORMAT = '%(levelname)s %(asctime)-15s %(name)-20s %(message)s' logging.basicConfig(level=logging.INFO, format=FORMAT) logger = logging.getLogger(__name__) p...
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from __future__ import annotations from abc import ABC, abstractmethod, abstractproperty from typing import Any, Optional, Set from .page_path import PagePath, PagePathLike class AbstractPage(ABC): """The base abstract page interface.""" def __init__( self, path: PagePathLike, ) -> None...
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from trame import state from trame.html import vuetify, vtk from trame.layouts import SinglePage from vtkmodules.vtkImagingCore import vtkRTAnalyticSource from vtkmodules.vtkFiltersGeometry import vtkGeometryFilter from vtkmodules.vtkRenderingCore import ( vtkRenderer, vtkRenderWindow, vtkRenderWindowInter...
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# Generated by Django 3.2.9 on 2021-12-17 22:10 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('toolz_swap_app', '0020_auto_20211217_1402'), ] operations = [ migrations.AddField( model_name='listing', name='item_...
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from django.contrib import messages from django.contrib.auth.decorators import permission_required from django.shortcuts import get_object_or_404, redirect from django.template.response import TemplateResponse from django.utils.translation import pgettext_lazy from ....store.models import SpecialPage from ...views imp...
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cidade = str(input('Qual cidade voce mora?')) print(cidade.strip().lower().startswith('santo'))
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from datetime import datetime, timedelta from typing import BinaryIO, Generator, Optional, Tuple import astropy.units as u import pytz from astropy.units import Quantity from salt_finder_charts.image import Survey, SurveyImageService from salt_finder_charts.mode import ( Mode, ModeDetails, ImagingModeDeta...
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import argparse import logging import sys from datetime import datetime import satstac from satstac import Catalog import satstac.landsat as landsat from .version import __version__ # quiet loggers logging.getLogger('urllib3').propagate = False logging.getLogger('requests').propagate = False logger = logging.getLog...
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import sqlite3 import random import string import re import sys # domain name args = sys.argv if len(args)==2: if args[1] == 'localhost': domain = "localhost:5000/" else: domain = "https://squez-url-shortener.herokuapp.com/" else: domain = "https://squez-url-shortener.herokuapp.com/" # URL...
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from turtle import Turtle from scoreboard import Scoreboard WIDTH = 800 HEIGHT = 600 START_SPEED = 0.1 class Ball(Turtle): """Class for creating and moving the ball. Extends Turtle""" def __init__(self) -> None: super().__init__() self.y_trajectory = 10 self.x_trajectory = 10 ...
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from .validation import * from .preparation import * from .external import * from .core import * from .preprocessing import * from .transforms import * from .mixed_augmentation import *
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# Generated by Django 2.0 on 2018-04-08 15:13 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('push_notifications', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='device', name='is_active', ...
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jira_user_url = "" jira_email = "" jira_token = ""
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import subprocess, re, os from baseq.utils.runcommand import run_it, run_generator import pandas as pd import random """ baseq dev bed ./bed """ import click, os, sys CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help']) @click.group(context_settings=CONTEXT_SETTINGS) def cli(): pass class BEDFILE: def ...
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from io import UnsupportedOperation import pytest from xz.io import IOStatic def test_read() -> None: static = IOStatic(b"abcdefghij") # read all static.seek(0) assert static.read() == b"abcdefghij" static.seek(4) assert static.read() == b"efghij" # read partial static.seek(6) ...
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# -*- coding: utf-8 -*- """ __init__.py """ import os import logging from logging.handlers import RotatingFileHandler from flask import Flask, request, jsonify, render_template, make_response from classes.database import db from config import DefaultConfig from classes import views #from classes import models f...
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#!/usr/bin/env python3 import pytest import fileinput import sys DAY=12 class Plants(): def __init__(self, in_lines): self.generation = 0 lines = iter(in_lines) initial_state = next(lines).replace('initial state: ', '') self.pots = {i:s for i, s in enumerate(initial_state) if s == '#' } ...
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# Databricks notebook source from pyspark.sql import SparkSession from pyspark.sql.functions import col, lit from pyspark.sql.functions import sum,avg,max,min,mean,count spark = SparkSession.builder.appName("Spark DataFrames").getOrCreate() # COMMAND ---------- df = spark.read.options(header='True', inferSchema='True...
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#!/usr/bin/python3 """ A queue is a first-in first-out type of data structure For this to work, you must be able to enqueue (add) items to the queue, dequeue (remove) items from the queue """ class List_Queue: """ Creates a List Queue """ def __init__(self, size): self.size = size ...
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