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from flask import url_for from flask.ext.wtf import Form from wtforms.fields import ( StringField, PasswordField, BooleanField, SubmitField, TextAreaField, DateField, SelectMultipleField ) from wtforms.fields.html5 import EmailField from wtforms.validators import ( Length, Email, ...
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from conans import ConanFile, CMake import os class TinyreflTool(ConanFile): name = 'tinyrefl-tool' version = '0.4.1' url = 'https://github.com/Manu343726/tinyrefl' description = ' A work in progress minimal C++ static reflection API and codegen tool' scm = { 'type': 'git', 'url': 'http...
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import argparse import os import sys import numpy as np import soundfile from mir_eval.util import midi_to_hz from onsets_and_frames import * def load_and_process_audio(flac_path, sequence_length, device): random = np.random.RandomState(seed=42) audio, sr = soundfile.read(flac_path, dtype='int16') ass...
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from mcidle.networking.packets.packet import Packet from mcidle.networking.types import String, VarIntPrefixedByteArray, VarInt, Integer, VarIntArray, \ Long, Byte, Double, Float, Boolean, UUID, Short, UnsignedByte """ Note: not using an OrderedDict for `definition` will break in anything older than Python 3.7.1...
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import glob import os from frelatage.dictionary.dictionary import Dictionary def load_dictionary(dictionary_folder: str) -> bool: """ Load all the dictionaries from the dictionary folder """ dictionary = Dictionary() dictionaries = [] if os.path.isdir(dictionary_folder): # find all ".d...
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algorithm='ddpg' env_class='UnityMLVectorMultiAgentNew' model_class='LowDim2x' environment = { 'name': 'compiled_unity_environments/Crawler_Linux_v5/CrawlerLinux.x86_64', } model = { 'state_size': 129, 'action_size': 20, 'fc1_units': 400, 'fc2_units': 300 } agent = { 'action_size': 20, 'u...
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import unittest import utils from grammar import Grammar class SplitByCommasTest(unittest.TestCase): def test_simple(self): self.assertEqual(['A', 'B', 'C'], utils.split_by('A, B, C', ',')) def test_without_space(self): self.assertEqual(['A', 'B', 'C'], utils.split_by('A,B,C', ',')) def...
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import json from airiam.terraform.entity_terraformers.BaseEntityTransformer import BaseEntityTransformer class IAMPolicyDocumentTransformer(BaseEntityTransformer): def __init__(self, entity_json: dict, policy_name, principal_name=None): policy_document_name = f"{policy_name}_document" if principa...
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import os def initialize(): if os.name == 'nt': from clipmanager.hotkey.win32 import GlobalHotkeyManagerWin return GlobalHotkeyManagerWin() elif os.name == 'posix': from clipmanager.hotkey.x11 import GlobalHotkeyManagerX11 return GlobalHotkeyManagerX11()
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from jsf import JSF from fastapi import FastAPI app = FastAPI(docs_url="/") generator = JSF.from_json("custom.json") @app.get("/generate", response_model=generator.pydantic()) def read_root(): return generator.generate()
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from __future__ import absolute_import from __future__ import division from __future__ import print_function import shutil import sys import tempfile from observations.r.us_classified_docs import us_classified_docs def test_us_classified_docs(): """Test module us_classified_docs.py by downloading us_classified...
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import sklearn.discriminant_analysis from autotabular.pipeline.components.classification.lda import LDA from .test_base import BaseClassificationComponentTest class LDAComponentTest(BaseClassificationComponentTest): __test__ = True res = dict() res['default_iris'] = 1.0 res['default_iris_iterative'...
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import piquant.statistics as statistics import piquant.tpms as t import numpy as np import pandas as pd import scipy.stats as scistats import test_tpms def _get_test_tpms(): tpms = pd.DataFrame.from_dict({ t.REAL_TPM: test_tpms.REAL_TPMS_VALS, t.CALCULATED_TPM: test_tpms.CALC_TPMS_VALS, te...
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import spacy # Defina o componente customizado def length_component(doc): # Calcule o tamanho do doc doc_length = len(doc) print(f"This document is {doc_length} tokens long.") # Retorne o doc return doc # Carregue o modelo pequeno do idioma inglês nlp = spacy.load("en_core_web_sm") # Adicione o ...
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import asyncio import csv from collections import deque from datetime import datetime from typing import List, Deque, AsyncGenerator, Any from aat.config import EventType, InstrumentType, Side, TradingType from aat.core import ExchangeType, Event, Instrument, Trade, Order from aat.exchange import Exchange class CSV(E...
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import time import dgl import torch from .. import utils @utils.benchmark('time') @utils.parametrize('batch_size', [4, 256, 1024]) @utils.parametrize('feat_size', [16, 128, 512]) @utils.parametrize('readout_op', ['sum', 'max', 'min', 'mean']) @utils.parametrize('type', ['edge', 'node']) def track_time(batch_size, fe...
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from threading import Thread from Queue import Queue import logging def serialize_soap(entry): d = {} for k, v in entry: if isinstance(v, bool): d[k] = v elif isinstance(v, int): d[k] = v elif isinstance(v, float): d[k] = v elif isinstance(v, ...
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import autograd.numpy as np from pymop.problem import Problem class Ackley(Problem): def __init__(self, n_var=10, c1=20, c2=.2, c3=2 * np.pi): super().__init__(n_var=n_var, n_obj=1, n_constr=0, xl=-32, xu=32, type_var=np.double) self.c1 = c1 self.c2 = c2 self.c3 = c3 def _ev...
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from insights.parsers import ros_config from insights.tests import context_wrap import doctest ROS_CONFIG_INPUT = """ log mandatory on default { mem.util.used mem.physmem kernel.all.cpu.user kernel.all.cpu.sys kernel.all.cpu.nice kernel.all.cpu.steal kernel.all.cpu.idle kernel.all.cpu....
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from pyglet.gl import * class DrawEnv(object): '''Sets up drawing environment. My have either or both of a "before" and "after" method. ''' pass class DrawBlended(DrawEnv): '''Sets up texture env for an alpha-blended draw. ''' def before(self): glPushAttrib(GL_ENABLE_BIT | GL_CO...
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from __future__ import unicode_literals from django.test import override_settings from .cases import StaticFilesTestCase class TestTemplateTag(StaticFilesTestCase): def test_template_tag(self): self.assertStaticRenders("does/not/exist.png", "/static/does/not/exist.png") self.assertStaticRenders...
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import os import random import click import tensorflow as tf from noisemaker.util import load, save, shape_from_file import noisemaker.cli as cli import noisemaker.effects as effects import noisemaker.generators as generators import noisemaker.value as value @click.group(help=""" This script is deprecated....
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import os import mock import pytest import yaml import paasta_tools.config_utils as config_utils from paasta_tools.utils import AUTO_SOACONFIG_SUBDIR @pytest.fixture(autouse=True) def mock_subprocess(): with mock.patch( "paasta_tools.config_utils.subprocess", autospec=True ) as mock_subprocess: ...
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import os import glob import obspy import scipy import time import pyasdf import numpy as np from numba import jit from scipy import signal import matplotlib.pyplot as plt from obspy.core.util.base import _get_function_from_entry_point ''' check efficiency of detrend, demean ''' def detrend(data): ''' remove ...
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from __future__ import print_function from __future__ import unicode_literals from __future__ import division from __future__ import absolute_import from builtins import * # NOQA from future import standard_library standard_library.install_aliases() # NOQA import gym import gym.spaces import numpy as np class Norm...
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import argparse import copy import json import logging import os import numpy as np import torch import transformers from data import get_data from evaluate import EVAL_FUNC_MAP from model import MODEL_CLASS_MAP from tqdm import tqdm logging.basicConfig( format="%(asctime)s - %(levelname)s - %(name)s - %(messag...
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from html.parser import HTMLParser class SAMLPostFormParser(HTMLParser): """ Parses the SAML Post binding form page for the SAMLRequest value. """ saml_request_value = None def handle_starttag(self, tag, attrs): attrs_dict = dict(attrs) if tag != "input" or attrs_dict.get("name"...
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from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from caffe2.python import core import caffe2.python.hypothesis_test_util as hu import caffe2.python.serialized_test.serialized_test_util as serial from hypothesis import...
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r""" This module contains occupation components used by the Leauthaud11 composite model. """ import numpy as np import math from scipy.special import erf import warnings from .occupation_model_template import OccupationComponent from .. import model_defaults from ..smhm_models import Behroozi10SmHm from ..assembias_...
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import seldom from seldom import testdata class FileDataTest(seldom.TestCase): """ Randomly generate test data """ def test_testdata(self): """ used testdata test """ self.open("https://www.runoob.com/try/try.php?filename=tryhtml_input") self.switch_to_frame(id...
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from .simple_filter import SimpleFilter from .greedy_filter import GreedyFilter from .correlated_filter import CorrelatedFilter from .bayes_search_cv import BayesSearchCV __all__ = ['SimpleFilter', 'GreedyFilter', 'CorrelatedFilter', 'BayesSearchCV']
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import numpy as np from scipy import spatial from ..configure.config import cfg def get_weight(dist, r, method="barnes"): """ barnes权重函数,给定距离dist和影响半径r,返回权重值 :param dist: 数据点距离插值点的距离 :param r: 有效影响半径 :param method 插值方法 :return: 该点在插值上的权重 """ if method == "barnes": weight = np.ex...
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from tensorflow.python.framework import ops class GraphKeys(ops.GraphKeys): # For rank service RANK_SERVICE_FG_CONF = '__rank_service_fg_conf' RANK_SERVICE_INPUT = '__rank_service_input' RANK_SERVICE_OUTPUT = '__rank_service_output' RANK_SERVICE_EMBEDDING = '__rank_service_embedding' RANK_SERVICE_INPUT_SR...
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TLDS = {'aaa': {'aaa': False}, 'aarp': {'aarp': False}, 'abarth': {'abarth': False}, 'abb': {'abb': False}, 'abbott': {'abbott': False}, 'abbvie': {'abbvie': False}, 'abc': {'abc': False}, 'able': {'able': False}, 'abogado': {'abogado': False}, 'abudhabi': {'abudhabi': False}, 'ac': {'ac': False, 'com...
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from __future__ import print_function import socket import sys import json def eprint(*args, **kwargs): print(*args, file=sys.stderr, **kwargs) def trigger_event(message): if not len(message): return event = json.loads(message) step = event['step'] app = event['app'] eprint('Rece...
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import os import time import numpy import pygame from common.drone import Drone from pathplan.pathplanning import save_path_plan class PyGameScreen: def __init__(self, tello): self.controls_keypress, self.controls_keyrelease = get_keys_control(tello) self.screen = self.init_pygame_screen() self.listeners = ...
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from unittest2 import TestCase from whitepages.business import WhitePagesBusiness class TestWhitePagesBusiness(TestCase): def setUp(self): self.basic_input = { "results": [ { "id": { "key": "Business.b5b36dfd-dfb3-4700-9cdc-fc736fa7b...
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from chitra.data_processing.default.nlp import DefaultTextProcessor from chitra.data_processing.default.vision import DefaultVisionProcessor
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class NotifyDataErrorValidationRule(ValidationRule): """ NotifyDataErrorValidationRule() """ def Validate(self,value,cultureInfo,owner=None): """ Validate(self: NotifyDataErrorValidationRule,value: object,cultureInfo: CultureInfo) -> ValidationResult """ pass
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import math import torch from torch import nn import numpy as np from tkbc.models import TComplEx from transformers import RobertaModel from transformers import BertModel from transformers import DistilBertModel # from kb.include_all import ModelArchiveFromParams # from kb.knowbert_utils import KnowBertBatchifier # fro...
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from django.apps import AppConfig class LedgerConfig(AppConfig): name = 'ledger' def ready(self): super(LedgerConfig, self).ready() import ledger.signals
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import asyncio import cozmo import cv2 import getopt import logging import numpy as np import sys import threading import time import datetime from cozmo.util import degrees, distance_mm, speed_mmps from matplotlib import pyplot as plt """ A simple line follow logic, which guides Cozmo along a line. For best results...
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import logging import os import sys _root_logger = logging.getLogger() _logger = logging.getLogger(__name__) _logger.setLevel(logging.WARNING) # if root logger has handlers, propagate messages up and let root logger process them if not _root_logger.hasHandlers(): _logger.addHandler(logging.StreamHandler(sys.stdo...
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import speechpy import scipy.io.wavfile as wav import numpy as np def extract_features(signal, fs): frames = speechpy.processing.stack_frames(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.01, filter=lambda x: np.ones((x,)),zero_padding=True) power_spectrum = speechpy.processing.power_spectr...
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import torch.nn as nn from blocks import SetAttentionBlock from blocks import InducedSetAttentionBlock from blocks import PoolingMultiheadAttention class SetTransformer(nn.Module): def __init__(self, in_dimension, out_dimension): """ Arguments: in_dimension: an integer. ou...
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from .add_tags import AddTagsBulkAction from .add_to_collection import AddToCollectionBulkAction from .delete import DeleteBulkAction __all__ = ['AddToCollectionBulkAction', 'AddTagsBulkAction', 'DeleteBulkAction']
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from EventManager.Models.RobotRunnerEvents import RobotRunnerEvents from EventManager.EventSubscriptionController import EventSubscriptionController from ConfigValidator.Config.Models.RunTableModel import RunTableModel from ConfigValidator.Config.Models.FactorModel import FactorModel from ConfigValidator.Config.Models....
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import os.path as osp from torch.optim import Adam import unittest from pd_mesh_net.utils import create_model, create_optimizer class TestCreateOptimizer(unittest.TestCase): def test_create_adam_optimizer(self): # Create a model. model_name = 'mesh_classifier' network_params = { ...
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import cProfile import cellyzer.io as io call_file_path = "../../demo/demo_datasets/long_data/calls_.csv" msg_file_path = "../../demo/demo_datasets/long_data/messages_.csv" cell_file_path = "../../demo/demo_datasets/long_data/antennas.csv" def test_read_call(): io.read_call(call_file_path) def test_read_msg():...
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import FWCore.ParameterSet.Config as cms # Default Geant4e propagator setup, uses Muons as particle hypotesis # ParticleName can be any particle described in the Geant4 documentation # http://geant4.web.cern.ch/geant4/UserDocumentation/UsersGuides/ForApplicationDeveloper/html/ch05s03.html # The chargen ( e.g. mu+ or m...
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from canvas.tests.tests_helpers import (CanvasTestCase, create_content, create_user, create_group, create_comment, create_staff) from services import Services, override_service class TestFeed(CanvasTestCase): def test_page_loads(self): self.assertStatus(200, '/feed'...
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import os import glob import shutil import pytest from tests import helpers from scrub.utils import do_clean from scrub.utils import scrub_utilities @pytest.mark.parametrize('operation', ['normal', 'tool_error', 'upload_error', 'invalid_config', 'custom_config']) def test_collaborator(operation): # Import the mod...
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import numpy as np def adjust_box_sort(box): start = -1 _box = list(np.array(box).reshape(-1,2)) min_x = min(box[0::2]) min_y = min(box[1::2]) _box.sort(key=lambda x:(x[0]-min_x)**2+(x[1]-min_y)**2) start_point = list(_box[0]) for i in range(0,8,2): x,y = box[i],box[i+1] if [...
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import matplotlib.pyplot as plt import numpy as np import scipy.ndimage import os from fpdf import FPDF import imageio class MIP_Generator : """a class to generate MIP""" def __init__(self, numpy_array:np.ndarray): """constructor Args: numpy_array (np.ndarray): [3D np.ndarray ...
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import torch import torch.nn as nn def grad_false(m): for param in m.parameters(): param.requires_grad = False class BaseNetwork(nn.Module): _n = None def save(self, path): torch.save(self.state_dict(), path) def load(self, path): self.load_state_dict(torch.load(path)) ...
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import torch import torch.nn as nn import torch.nn.functional as F class CenConv2d(nn.Module): """Conv2d layer with Weight Centralization. The args is exactly same as torch.nn.Conv2d. It's suggested to set bias=False when using CenConv2d with MABN. """ def __init__(self, in_planes, out_planes, ke...
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from plivo.utils.validators import * from plivo.xml import PlivoXMLElement, map_type class WaitElement(PlivoXMLElement): _name = 'Wait' _nestable = [] @property def length(self): return self.__length @length.setter def length(self, value): self.__length = int(value) if value ...
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from django.conf.urls import patterns, include, url from django.views.generic.simple import direct_to_template # Uncomment the next two lines to enable the admin: from django.contrib import admin admin.autodiscover() urlpatterns = patterns('', # Examples: # url(r'^$', 'travis_cron.views.home', name='home'), ...
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import os from glob import glob import torch from torch.utils.data.dataset import Dataset from torchvision.datasets.folder import default_loader from PIL import Image import numpy as np def find_classes(classes_file): # read classes file, separating out image IDs and class names image_ids = [] targets =...
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from ..const import INDENT, Emoji from ..file_path import PypjFilePath from ..resource import get_my_resource from ..setting import PypjSetting from .task import Task class PreCommit(Task): def __init__(self, setting: PypjSetting, path: PypjFilePath) -> None: name = "Pre-commit" super().__init__(n...
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from math import log10, log import re def do_search(db, q, object_type, limit): """ Search for objects (profiles, tables, topics) matching query q. Return a list, because it's easier to work with than a SQLAlchemy ResultProxy object (notably, the latter does not support indexing). """ if object_t...
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from bottle import * import os @get('/ping_test') def ping_test(): return {"message": "pong"} @get('/env_test') def env_test(): return {"message": os.environ['KEY']} @get('/mount_test') def mount_test(): with open("/data/data.txt", "rt") as in_file: text = in_file.read() return {"message"...
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import torch import torch.nn as nn from . import constants from . import evaluation from .util import utilities as util_ def compute_graph_score(pred_mask, gt_mask, obj_F_weight=0.8, obj_det_weight=0.2): """Compute score of graph compared with GT mask. Score with Overlap F measu...
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import datetime import sys import uuid from peewee import Model from flask_peewee.utils import get_dictionary_from_model from flask_peewee.utils import get_model_from_dictionary class Serializer(object): date_format = '%Y-%m-%d' time_format = '%H:%M:%S' datetime_format = ' '.join([date_format, time_forma...
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import simtk.openmm as mm import simtk.unit as unit from openmmplumed import PlumedForce import numpy as np import unittest class TestTorchForce(unittest.TestCase): def testForce(self): # Create a System that applies a force based on the distance between two atoms. numParticles = 4 syste...
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import komand from .schema import AddWatchlistInput, AddWatchlistOutput # Custom imports below from cbapi.errors import ServerError from cbapi.response.models import Watchlist class AddWatchlist(komand.Action): def __init__(self): super(self.__class__, self).__init__( name="add_watchlist", ...
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import numpy as np class cov(object): def __init__(self, params=None): self.params = params if self.params is None: self.params = np.log(1) self.nparams = 1 self.sigma2, self.prec = self._trans_params(params) def get_cov(self, N, params=None): ''' compute t...
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from __future__ import print_function class EditDistance: def __init__(self): self.__prepare__() def __prepare__(self, N = 0, M = 0): self.dp = [[-1 for y in range(0,M)] for x in range(0,N)] def __solveDP(self, x, y): if (x==-1): return y+1 elif (y==-1): ...
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from django.core.management.base import LabelCommand from django.template import loader from django.template import TemplateDoesNotExist import sys def get_template_path(path): try: template = loader.find_template(path) if template[1]: return template[1].name # work arround htt...
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from pca.exceptions import ( ConfigError, ErrorCatalog, ) class DIErrors(ErrorCatalog): DEFINITION_NOT_FOUND = ConfigError( hint=( "A dependency definition for DI was tried to be injected, but it has not been found." ) ) ALREADY_REGISTERED = ConfigError(hint="This conte...
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import streamlit as st VIDEO_URL = "https://static.streamlit.io/examples/star.mp4" st.video(VIDEO_URL) st.write( """ #### Video credit: Creator: User _fxxu_ from _Pixabay_. License: Free for commercial use. No attribution required. https://pixabay.com/en/service/license/ URL: https://p...
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import pytest import trello from todo.connection import TrelloConnection from todo.configuration import Configuration TEST_LIST_INBOX = 'gtd.py__INBOX' @pytest.fixture def config(): return Configuration.from_file() @pytest.fixture def test_conn(config): if config.test_board is None: pytest.fail( ...
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import re from ztag.annotation import Annotation from ztag.annotation import OperatingSystem from ztag.annotation import Type from ztag.annotation import Manufacturer from ztag import protocols import ztag.test class FtpOverlandStorage(Annotation): protocol = protocols.FTP subprotocol = protocols.FTP.BANNER ...
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import json import re from typing import Any, Dict, List, Optional, Union from pydantic import BaseModel from ikea_api import Constants from ikea_api.wrappers import types from ikea_api.wrappers._parsers.item_base import ( ItemCode, ItemType, get_is_combination_from_item_type, ) __all__ = ["main"] clas...
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import json import os import re from collections import Counter from copy import deepcopy from transition_amr_parser.amr import AMR """ AMRStateMachine applies operations in a transition-based AMR parser, but combined with a pointer for arcs. It maintains a cursor on the token sequence and moves from left to right an...
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import nltk import pandas as pd import re import sys import os import logging import urllib.request from nltk import tokenize from .configs import * from azureml.logging import get_azureml_logger def download_file_from_blob(filename): logger = logging.getLogger(__name__) # Define the path of the shared fol...
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def _aspect_impl(target, ctx): print(ctx.rule.kind) return [] print_aspect = aspect( implementation = _aspect_impl, attr_aspects = [], )
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from pbge.plots import Plot import game import gears import pbge import pygame import random from game import teams, ghdialogue from game.content import gharchitecture, ghterrain, ghwaypoints, plotutility from pbge.dialogue import Offer, ContextTag, Reply from game.ghdialogue import context from game.content.ghcutscene...
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from machine import I2C import HTS221 from pyb import Timer i2c = I2C(1) hts = HTS221.HTS221(i2c) def tim_irq(t): print(hts.get_irq()) tim = Timer(1, freq = 1) tim.callback(tim_irq)
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import pytest import salt.utils.schedule from tests.support.mock import MagicMock try: import pytz.exceptions HAS_LIBS = True except ImportError: HAS_LIBS = False def test_correct_tz_offset(): kwargs = { "opts": {}, "functions": {"timezone.get_offset": lambda: "0200"}, "clean...
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from django.urls import path from django.views.generic import TemplateView from .views.template import HomeView, SnippetCreateView, SnippetView, TicketCreateView, TicketView, TicketSearchResultsView from .views.api import SnippetCreateAPIView, SnippetAPIView from .constants import REDOC_DESCRIPTION from rest_framewor...
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from html2image import Html2Image # This file contains examples of how to use the # load_str, load_file, screenshot_url and screenshot_loaded_file methods. # minimal html : quite unconventional but browsers can read it anyway my_html_string = """\ <link rel="stylesheet" href="red_background.css"> <h1> An interesting ...
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import pytest from app.models import EmailBranding, BRANDING_ORG from tests.app.db import create_email_branding def test_get_email_branding_options(admin_request, notify_db, notify_db_session): email_branding1 = EmailBranding(colour='#FFFFFF', logo='/path/image.png', name='Org1') email_branding2 = EmailBrand...
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from bokeh.io import save from bokeh.models import Circle, LinearAxis, Plot, Range1d aliases = dict(a="above", b="below", l="left", r="right") def make_figure(axes): xdr = Range1d(start=-1, end=1) ydr = Range1d(start=-1, end=1) plot = Plot(title=None, x_range=xdr, y_range=ydr, width=200, height=200, tool...
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class Solution: def shortestDistance(self, grid: List[List[int]]) -> int: m, n, d = len(grid), len(grid[0]), 1 piled = collections.defaultdict(set) dist = collections.defaultdict(int) bfs = [(i, j, i, j) for i in range(m) for j in range(n) if grid[i][j] == 1] total, res = len...
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from Queue import Queue from abc import ABCMeta, abstractmethod from functools import partial from threading import Thread import unittest import os import uuid import sys from bd2k.util.fnmatch import fnmatch try: # Note that subprocess isn't thread-safe so subprocess is actually required. I'm just putting #...
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import os MAX_SEND_RCV_SIZE=1024*32 def sendall_str(conn, s): if len(s) > MAX_SEND_RCV_SIZE: cut = "\n... [TRUNCATED]" sz = MAX_SEND_RCV_SIZE-len(cut)-2 # -2 to be on the safe side s = "%s%s" % (s[:sz], cut) conn.sendall(bytes(s, "UTF-8")) def my_log(msg): from datetime import da...
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import pagexml import torch.nn as nn class RoISorter(nn.Module): # Module to sort detected Regions of Interest by reading order (left-right,top-bottom) def __init__(self): super(RoISorter,self).__init__() def forward(self,rois): pxml = pagexml.PageXML() pxml.newXml('retinanet_...
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import numpy as np import tensorflow as tf import tensorflow.contrib.slim as slim from helper import * # FEATURE LOSS NETWORK def lossnet(input, keep_prob,n_layers=14, training=True, reuse=False, norm_type="SBN", ksz=3, base_channels=32, blk_channels=5): layers = [] if norm_type == "NM": # ADA...
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import copy import pytest from pybaseball.cache import cache_record def test_bad_cache_record() -> None: with pytest.raises(ValueError): cache_record.CacheRecord() def test_supports_self_true() -> None: func_data = {'func': '_test_func', 'args': (1, 2, 3), 'kwargs': {'named_param': True}} recor...
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def test_create_fetch_entity_with_list(ds_entity): entity_key = "test_entity" list_values = [1, 2, 3] dict_values = {"test": "test"} int_value = 3 test_entity = ds_entity(entity_key, list_field=list_values, dict_field=dict_values, int_field=int_value) test_entity.save() fetched_test_entity =...
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import tensorflow as tf class vggM: def __init__(self): self.learningRates = {} def extractFeature(self, inputs): with tf.variable_scope('VGGM') as scope: scope.reuse_variables() with tf.variable_scope('layer1'): weights = tf.get_variable("weights") ...
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import FWCore.ParameterSet.Config as cms # AlCaPhiSymRecHits producer alCaPhiSymRecHits = cms.EDProducer("AlCaPhiSymRecHitsProducer", endcapHitCollection = cms.string('EcalRecHitsEE'), eCut_barrel = cms.double(0.15), ecalRecHitsProducer = cms.string('ecalRecHit'), eCut_endcap = cms.double(0.75), Ve...
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from pylmcp import Object from pylmcp.util import Buffer import json class Message(object): def __init__(self, obj: Object, source_entity_id: int, source_service_id: int, source_group: str = '', content_type: str = 'lmcp', ...
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from pysbr.queries.query import Query class LeagueMarkets(Query): """Get the betting markets available for a particular league. Only market ids are returned by the query, without market names. For some leagues, this query returns many more market ids than the markets found on SBR. Args: leag...
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import ticdat.utils as utils from ticdat.utils import verify, gurobi_env try: import docplex.mp.model as cplex except Exception as e: cplex = "docplex" try: import gurobipy as gurobi except Exception as e: gurobi = "gurobipy" try: import xpress except: xpress = "xpress" class Model(object): ...
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import unittest from .mixins import BallotAPITestMixin import ballotapi.cli class CommandlineTestCase(BallotAPITestMixin, unittest.TestCase): def setUp(self): """ Patch stdout and stderr to capture output """ self._capture_output() def tearDown(self): """ Revert stdout and stderr pat...
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from cointk.backtest import backtest from cointk.strategies import NaiveStrategy import random random.seed(1) strategy = NaiveStrategy(n_prices=1000, threshold=0.8) backtest(strategy)
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from codewatch.assertion import assertion def file_filter(_file_name): return False @assertion() def error_assertion(_stats): # throw an exception raise KeyError(0)
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from ixnetwork_restpy.base import Base from ixnetwork_restpy.files import Files class IsisLevel1LANHelloPDU(Base): __slots__ = () _SDM_NAME = 'isisLevel1LANHelloPDU' _SDM_ATT_MAP = { 'CommonHeaderIntradomainRoutingProtocolDiscriminator': 'isisLevel1LANHelloPDU.isisHeader.commonHeader.intradomainRo...