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import pandas as pd import math import numpy as np import time import imp import pickle import os from os import path import json from chefboost.commons import functions, evaluate as eval from chefboost.training import Preprocess, Training from chefboost.tuning import gbm, adaboost, randomforest #--------------------...
nome = input("Digite o seu nome: ") print("Olá,Seja bem vindo, {}!".format(nome))
import requests import random from bs4 import BeautifulSoup import re from langdetect import detect import os import json from cloudant import Cloudant from datetime import datetime,date import time import tweet db_name = 'mydb' client = None db = None if 'VCAP_SERVICES' in os.environ: vcap = json.loads(os.geten...
from OpenGLCffi.GL import params @params(api='gl', prms=['mode', 'first', 'count', 'instancecount', 'baseinstance']) def glDrawArraysInstancedBaseInstance(mode, first, count, instancecount, baseinstance): pass @params(api='gl', prms=['mode', 'count', 'type', 'indices', 'instancecount', 'baseinstance']) def glDrawEle...
'''base config for nonlocalnet''' # config for dataset DATASET_CFG = { 'type': '', 'rootdir': '', 'train': { 'set': 'train', 'aug_opts': [ ('Resize', {'output_size': (2048, 512), 'keep_ratio': True, 'scale_range': (0.5, 2.0)}), ('RandomCrop', {'crop_size': (512, 512),...
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from math import ceil from .entities import CimBaseDataCollection, Stop class VesselFutureStopsPrediction: """Wrapper to get (predict, without noise) vessel future stops, the number of stops is limited by configuration. Examples: ...
class MapyMaster(object): def __init__(self): print ("hello Mapy master") def __call__(self, *args, **kwargs): print ("hello from Mapy master")
# coding: utf-8 import os import time root = os.path.join(os.path.dirname(__file__), "..", "..") script_dir = os.path.join(root, "notebook", "script") timestamp = time.time() print "timestamp of this script is %d" % timestamp gen_save_file_path = lambda suffix: os.path.join(script_dir, "preflop_neuralnet_training_note...
from pydantic import Field from buglog.utils import Bug ################################################# # EXCERCISES class SideBridge(Bug): """Excercise: a side bridge""" reps: int = Field(1, title="Repetitions", gt=0) times: int = Field(..., gt=0) class Squats(Bug): """Excercise: squats""" r...
from django.db.models.signals import post_save, pre_delete from django.dispatch import receiver from guardian.shortcuts import get_perms, remove_perm from apps.projects.models import Project, ProjectContributor, ProjectAPIToken from apps.reporting.models import ReportInformation @receiver(post_save, sender=Project) d...
#!/usr/bin/python # ============================================================================== # Author: Tao Li (taoli@ucsd.edu) # Date: May 7, 2015 # Question: 081-Search-in-Rotated-Sorted-Array-II # Link: https://leetcode.com/problems/search-in-rotated-sorted-array-ii/ # ================================...
from sqlalchemy.orm import Session from . import models, schemas def get_user(db: Session, user_id: int): return db.query(models.User).filter(models.User.id == user_id).first() def get_users(db: Session, skip: int = 0, limit: int = 100): return db.query(models.User).offset(skip).limit(limit).all() def crea...
import json import time from bottle import Bottle, request from engine.app import app api_server = Bottle() # CAREFUL: Do NOT perform any computation-related tasks inside these methods, nor inside functions called from them! # Otherwise your app does not respond to calls made by the FeatureCloud system quickly eno...
import gc import os from clang.cindex import CursorKind from clang.cindex import Cursor from clang.cindex import File from clang.cindex import Index from clang.cindex import SourceLocation from clang.cindex import SourceRange from clang.cindex import TranslationUnitSaveError from clang.cindex import TranslationUnitLoa...
""" Provide a generic structure to support window functions, similar to how we have a Groupby object. """ from __future__ import annotations import copy from datetime import timedelta from functools import partial import inspect from textwrap import dedent from typing import ( TYPE_CHECKING, Any, Callable,...
from dragonn.utils import rolling_window import numpy as np from sklearn.metrics import auc, precision_recall_curve import matplotlib.pyplot as plt import pdb from keras import backend as K import tensorflow as tf def positionalPRC(embeddings, scores,window_stride=1, coverage_thresh_for_positive=0.8,verbose=Fals...
# -*- coding: utf-8 -*- """ Created on Sun Oct 10 11:24:08 2021 @author: qizhe """ # import heapq from sortedcontainers import SortedList class StockPrice: """ 答案:双百通过。 利用了一个“容器”有序列表 能不能自己维护一个有序列表? 应该很简单吧? 当时做题的时候,缺的就是这个有序列表。 """ def __init__(self): self.priceDict =...
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 from awsglue.blueprint.workflow import Workflow, Entities from awsglue.blueprint.job import Job from awsglue.blueprint.crawler import * import boto3 from botocore.client import ClientError import datetime def g...
from __future__ import absolute_import # Copyright (c) 2010-2017 openpyxl # Copyright (c) 2018 qyou.casia@gmail.com """ Read a chart """ from .chartspace import ChartSpace, PlotArea from openpyxl.xml.functions import fromstring from openpyxl.packaging.relationship import get_rel, get_rels_path, get_dependents from o...
# AUTOGENERATED! DO NOT EDIT! File to edit: 15_subcoco_effdet_icevision_fastai.ipynb (unless otherwise specified). __all__ = ['SubCocoParser', 'parse_subcoco', 'SaveModelDupBestCallback', 'FastGPUMonitorCallback', 'gen_transforms_and_learner', 'run_training', 'save_final'] # Cell import glob import json im...
from __future__ import absolute_import # Copyright (c) 2010-2015 openpyxl import pytest from openpyxl.xml.functions import fromstring, tostring from openpyxl.tests.helper import compare_xml @pytest.fixture def BookView(): from ..views import BookView return BookView class TestBookView: def test_ctor(se...
# generated by datamodel-codegen: # filename: schema/type/usageDetails.json # timestamp: 2021-08-17T03:53:57+00:00 from __future__ import annotations from typing import Optional from pydantic import BaseModel, Extra, Field, confloat, conint from . import basic class UsageStats(BaseModel): class Config: ...
#!/usr/bin/env python # coding: utf-8 # In[21]: import pandas as pd import numpy as np import json import zipfile import matplotlib.pyplot as plt import seaborn as sns import re # In[12]: wikidata = pd.read_json('wikidata-movies.json.gz', orient='record', lines=True) genres = pd.read_json('genres.json.gz', ori...
""" Interface to the config_compilers.xml file. This class inherits from GenericXML.py """ from CIME.XML.standard_module_setup import * from CIME.XML.generic_xml import GenericXML from CIME.XML.files import Files from CIME.XML.compilerblock import CompilerBlock from CIME.BuildTools.makemacroswriter import MakeMacroWr...
# -*- coding: utf-8 -*- """ViPRoPE.ipynb Automatically generated by Colaboratory. """ import torch, math import torchvision import torchvision.transforms as transforms import matplotlib.pyplot as plt import numpy as np from PIL import Image !pip install torchsummary from torchsummary import summary import time impo...
from vseq.models.wavenet.model import WaveNet from vseq.models.wavenet.modules import CausalConv1d, OutConv1d, ResidualBlock, ResidualStack
class Solution: def twoSum(self, nums: List[int], target: int) -> List[int]: """Hash table. Running time: O(n) where n == len(nums). """ d = {nums[0]: 0} for i in range(1, len(nums)): if target - nums[i] in d: return [i, d[target - nums[i]]] ...
# -*- coding: utf-8 -*- import math import numpy as np import numba from numpy import linalg as LA from utils import get_num_break_slice @numba.jit(nopython=True) def calculate_Pi_mDelta(Ys, Mu, Sigma, sigma_s): # get number of point in each matrix sc_cell_num = Ys.shape[0] ref_cell_num = Mu.shape[0] ...
from model.group import Group class GroupHelper: def __init__(self, app): self.app = app def return_to_groups_page(self): wd = self.app.wd wd.find_element_by_link_text("group page").click() def create(self, group): wd = self.app.wd self.open_groups_page() ...
import os from math import pi, cos, sin, tan from pyaedt.generic.general_methods import aedt_exception_handler from pyaedt.modeler.Primitives import Primitives from pyaedt.modeler.GeometryOperators import GeometryOperators from pyaedt.modeler.multiparts import MultiPartComponent, Environment from pyaedt.modeler.actors...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import ...
""" Script for the tgrouping function. Run with: python tgrouping_script.py """ # Loading modules. from __future__ import absolute_import, division, print_function import os import numpy as np from scipy.stats import gamma import matplotlib.pyplot as plt import nibabel as nib import sys import numpy.linalg as npl ...
import numpy as np import pandas as pd import pytest from pytest import param import ibis.expr.datatypes as dt from ibis.tests.backends import ( BigQuery, Clickhouse, MySQL, Postgres, PySpark, SQLite, ) from ibis.udf.vectorized import reduction @reduction(input_type=[dt.double], output_type=d...
from contextlib import contextmanager import colorama import atexit import faulthandler import hashlib import inspect import io import json import logging import os import redis from six.moves import queue import sys import threading import time import traceback # Ray modules import ray.cloudpickle as pickle import ra...
import logging from django.dispatch import Signal, receiver from django.db import models from django.contrib.contenttypes.models import ContentType from django.contrib.contenttypes.fields import GenericForeignKey from django.conf import settings class Event(models.Model): user = models.ForeignKey(settings.AUTH_U...
from sympy import Symbol, I from qnet.algebra.core.operator_algebra import ( LocalSigma, rewrite_with_operator_pm_cc, OperatorPlusMinusCC) from qnet.algebra.library.fock_operators import Destroy, Create from qnet.algebra.core.hilbert_space_algebra import LocalSpace from qnet.printing import srepr def test_simple...
import random from ..core import Basic, Integer from ..core.compatibility import as_int class GrayCode(Basic): """ A Gray code is essentially a Hamiltonian walk on a n-dimensional cube with edge length of one. The vertices of the cube are represented by vectors whose values are binary. The Hamilt...
# Copyright 2020 Google 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 agreed to in writing, s...
#!/usr/bin/env python3 import argparse import os import subprocess import sys from datetime import datetime import boto3 from nctogtiff import nctogtiff from weight import preprocess class FetchGOES(object): BANDS = { 1: 'blu', 2: 'red', 3: 'nir', } def __init__(self, dt=None, ...
# coding: utf-8 # In[171]: # Ido Michael import tensorflow as tf import os, struct import numpy as np import matplotlib.pyplot as plt import ParsePowerEDFA from sklearn.metrics import mean_squared_error from sklearn.metrics import mean_absolute_error import math import sys import configparser import random print(tf...
# # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # ...
# coding: utf-8 """ Copyright 2016 SmartBear Software 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 applica...
# postgresql/ext.py # Copyright (C) 2005-2021 the SQLAlchemy authors and contributors # <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: https://www.opensource.org/licenses/mit-license.php from itertools import zip_longest from .array import ARRAY from ...sql import coe...
from .sql_database import SQLDatabase from .matplotlib_graph import MatplotlibGraph
# -*- coding: utf-8 -*- """Application utilities.""" import datetime from typing import Optional from urllib.parse import urlparse, urljoin import pytz from babel import dates as babel_dates from flask import current_app, request, url_for from flask_login import current_user from flask_mail import Message from . ...
# Copyright 2019 Atalaya Tech, Inc. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, ...
#!/usr/bin/evn python3 # coding=utf-8 import logging class AppException(Exception): def __init__(self, *args, **kwargs): logger = logging.getLogger("tornado.access") # 控制台是否输出日志 logger.propagate = False logger.error(f"AppException:{args}") class AppValueError(AppException): d...
# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
# coding: utf-8 # flake8: noqa """ Cost Management The API for Project Koku and OpenShift cost management. You can find out more about Project Koku at [https://github.com/project-koku/](https://github.com/project-koku/). # noqa: E501 The version of the OpenAPI document: 1.0.2 Generated by: https://o...
# Generated by Django 3.2.7 on 2021-09-18 14:05 import django.core.validators from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Prisoner', fields=[ ...
# -*- coding: utf-8 -*- __author__ = 'Arseniy' from model.contact import Contact from model.group import Group import random def test_add_some_contact_to_some_group(app, orm): if len(orm.get_group_list()) == 0: app.group.create(Group(name="new group")) if len(orm.get_contact_list()) == 0: app....
#!C:\Users\kyj20\PycharmProjects\untitled6\venv\Scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install' __requires__ = 'setuptools==40.8.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|...
# coding: utf-8 # cf.http://d.hatena.ne.jp/white_wheels/20100327/p3 import numpy as np import matplotlib.pylab as plt from mpl_toolkits.mplot3d import Axes3D import logging logger = logging.getLogger(__name__) def _numerical_gradient_no_batch(f, x): h = 1e-4 # 0.0001 grad = np.zeros_like(x) ...
# Copyright 2018 The Cirq Developers # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...
# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If ex...
from typing import Union class int(float): def __init__(self, arg: int): pass # def __add__(self, other: float) -> float: pass # def __add__(self, other: complex) -> complex: pass def __add__(self, other: int) -> int: pass # def __sub__(self, other: float) -> float: pass # def __sub__(self, o...
import os import time import e2e.clickhouse as clickhouse import e2e.kubectl as kubectl import e2e.settings as settings import e2e.yaml_manifest as yaml_manifest from testflows.core import fail, Given, Then, current current_dir = os.path.dirname(os.path.abspath(__file__)) operator_label = "-l app=clickhouse-operato...
# 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"); you may not u...
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompa...
# 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"); you may not u...
# -*- coding: utf-8 -*- from pprint import pprint from scrapy.spiders import SitemapSpider class HuluSitemap(SitemapSpider): name = 'hulu_sitemap' allowed_domains = ['hulu.com'] sitemap_urls = ['https://www.hulu.com/sitemap_index.xml'] def sitemap_filter(self, entries): for entry in entries: ...
# -*- coding: utf-8 -*- # BioSTEAM: The Biorefinery Simulation and Techno-Economic Analysis Modules # Copyright (C) 2020, Yoel Cortes-Pena <yoelcortes@gmail.com> # # This module is under the UIUC open-source license. See # github.com/BioSTEAMDevelopmentGroup/biosteam/blob/master/LICENSE.txt # for license details. """...
# pylint: disable=C, R, not-callable, no-member, arguments-differ import json from functools import partial import pymatgen import torch import random from se3cnn.non_linearities import GatedBlock from se3cnn.non_linearities.rescaled_act import relu, sigmoid from se3cnn.point.kernel import Kernel from se3cnn.point.ope...
""" There may need to be a time when this file will need to get factored out into its parts. These functions should be thread safe iterators (or generators -- whichever is faster), which yeild batches of their results. There should be functionality to materialize them into sparse thingys or something with good perf ...
# This source code is part of the Biotite package and is distributed # under the 3-Clause BSD License. Please see 'LICENSE.rst' for further # information. __name__ = "biotite.application" __author__ = "Patrick Kunzmann" __all__ = ["MSAApp"] import abc from tempfile import NamedTemporaryFile from collections import Or...
#!/usr/bin/env python # Considering natural numbers of the form, a^(b), where a, b < 100, what # is the maximum digital sum? import operator from python.decorators import euler_timer from python.functions import apply_to_list def digit_sum(n): return sum(int(dig) for dig in str(n)) def main(verbose=False): ...
""" Tests for the Admin model. """ import pytest # noqa: F401 from flask_bcrypt import check_password_hash from library_registry.model import Admin from library_registry.model_helpers import create class TestAdminModel: def test_authenticate_autocreates_first_admin(self, db_session): """ GI...
import abc #abstract base class import numpy as np #####Adjacency Matrix######### # You should use adjacency matrix for small densily connected graphs # space complexity O(V^2) ############################################################ #Base Class representation of class with all interface methods #######...
from Drawing import * sg = Drawing(alpha=0, omega=10) sg.addNode("a") sg.addNode("b") sg.addNode("c") sg.addNode("d") sg.addLink("a", "b", 0, 4) sg.addLink("a", "b", 6, 9) sg.addLink("a", "c", 2, 5, height=0.4) sg.addLink("b", "c", 1, 8) sg.addLink("b", "d", 7, 10, height=0.4) sg.addLink("c", "d", 6, 9) sg.addNodeCl...
# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...
# msl_v2_rule.py # Defines the rules for gold standard and ambiguous subjects for msl v2 labels # # Steven Lu 8/21/2019 import numpy as np class MSLV2Rule(object): def __init__(self, retirement_count): if retirement_count % 2 == 0 and retirement_count < 3: raise ValueError('retirement count m...
#!/usr/bin/env python # Copyright 2017 Calico 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 # https://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agr...
from collections import namedtuple Field = namedtuple('Field', ('name', 'data')) Downloads = Field('download_count', 'COUNT(*)') Date = Field('download_date', 'FORMAT_TIMESTAMP("%Y-%m-%d", timestamp)') Month = Field('download_month', 'FORMAT_TIMESTAMP("%Y-%m", timestamp)') Year = Field('download_year', 'FORMAT_TIMESTA...
import numpy as np import pandas as pd class GradientFreeResourceAllocator: def __init__(self, depth=3, lmda=1, n_restarts=10, n_trials=int(1e3),\ allocationMethod='variablePrecision'): # General parameters with default values self.lmda = lmda self.n_trials = n_trials ...
import glob import os from typing import Sequence def get_inputdata_file(name: str) -> str: return os.path.join(os.path.dirname(__file__), 'inputdata', name) def get_inputdata_files(pattern: str) -> Sequence[str]: return glob.glob(os.path.join(os.path.dirname(__file__), 'inputdata', pattern))
# -*- coding: utf-8 -*- """ Copyright (C) 2014-2016 bromix (plugin.video.youtube) Copyright (C) 2016-2018 plugin.video.youtube SPDX-License-Identifier: GPL-2.0-only See LICENSES/GPL-2.0-only for more information. """ import re import datetime from .base_item import BaseItem try: from six.moves ...
from __future__ import division import unittest import numpy as np import linvpy as lp import generate_random from scipy.sparse.linalg import lsmr import matplotlib.pyplot as plt import optimal as opt import mestimator_marta as marta import random import copy import toolboxinverse as inv TESTING_ITERATIONS = 50 # For ...
# Copyright 2013 Hewlett-Packard Development Company, L.P. # 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...
#!/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");...
# Copyright 2018 Changan Wang # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, so...
class IterRator(object): def __init__(self, l, n): self.l = l self.n = n def __iter__(self): for i in range(0, len(self.l), 2): yield self.l[i: i+self.n] it = IterRator([1,2,3,4,5], 2) for item in it: print item
# Copyright 2015 The TensorFlow Authors. 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 applica...
import numpy as np import pandas as pd from sklearn.metrics import mean_squared_error def get_possession_team(player, movement): """ Return the team_id of the ball_handler """ team_id = movement.loc[movement.player_id == player, 'team_id'].values[0] return team_id def get_ball_handler(movement):...
# Copyright 2018 The Cirq Developers # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...
# -*- coding: utf-8 -*- # Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. from __future__ import unicode_literals import socket from .common import HyperlinkTestCase from .. import URL, URLParseError # automatically import the py27 windows implementation when appropriate from .. import _url fr...
""" URL patterns for Operational Intelligence related views """ from django.urls import re_path from core.oi import jbviews urlpatterns = [ re_path(r'^oi/jobsbuster/$', jbviews.jbhome, name='jobsBuster'), ]
""" SQL-style merge routines """ import copy import string import warnings import numpy as np from pandas._libs import hashtable as libhashtable, join as libjoin, lib from pandas.compat import lzip from pandas.errors import MergeError from pandas.util._decorators import Appender, Substitution from pandas.core.dtype...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # */AIPND-revision/intropyproject-classify-pet-images/check_images.py # # PROGRAMMER: Zhecho Zhechev # DATE CREATED: 2019-09-10T10:23:32+03:00 # REVISED DATE: # PURPOSE: Classifies pet images using a pretrained CNN model, compares these # classifications to the t...
"""Helpers for script and condition tracing.""" from __future__ import annotations from collections import deque from collections.abc import Callable, Generator from contextlib import contextmanager from contextvars import ContextVar from functools import wraps from typing import Any, cast from homeassistant.helpers....
# Owner(s): ["oncall: fx"] import torch import torch.fx.experimental.fx_acc.acc_ops as acc_ops import torch.nn as nn from torch.testing._internal.common_fx2trt import AccTestCase from parameterized import parameterized class TestGetitemConverter(AccTestCase): @parameterized.expand( [ ("slice_...
ADJACENTS = ((-1 - 1j), (0 - 1j), (1 - 1j), (-1 + 0j), (1 + 0j), (-1 + 1j), (0 + 1j), (1 + 1j)) def compute_step(): new_flashes = set() for k in octopuses: octopuses[k] += 1 if octopuses[k] > 9: octopuses[k] = 0 new_flashes.add(k) while new_flashes: for k i...
################################################################################ # 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...
# Replace the file path with an existing text file on your machine. with open("/home/aditya/Desktop/sample.txt", "r") as file_: lines = file_.readlines() for line in lines: print(lines)
#python print("Project by PRAHLAD SHUKLA") import smtplib form email.mime.multipart import MIME Multipart from email.mime.text import MIMETEXT sender="thecyberkiddie@gmail.com" receiver="shuklaprahlad414@gmail.com" msg MIME Multipart() msg ['TO']=receiver msg ['FROM']=sender msg ['SUBJECT']='HTML MESSAGE' html=""" <h...
""" The MIT License Copyright (c) 2017-2020 Mark Douthwaite """ from .discrete import DiscreteFactor from .set import FactorSet __all__ = [ "FactorSet", "DiscreteFactor", ]
from typing import Optional, Any from ..apibase import SlobsClass from .scenenode import ( SceneNode, ) from .factories import ( scenenode_factory, sceneitem_factory, sceneitemfolder_factory, selection_factory, source_factory, register, ) from .typedefs import ISceneNodeAddOptions, ISourceAd...
# Motor B controls Left-Right movement # Motor C controls the height of arm # Motor A controls the fingers # Direction keys - to move the arm # Space will open the claw # Z will close the claw # The light sensor will be configured to also close if a certain # threshold is reached with an object being in front of it ...
# Encoding: UTF-8 import os import pytest parametrize = pytest.mark.parametrize @parametrize( ('input', 'table', 'id'), [ # Simple lookups (u'Eevee', 'pokemon_species', 133), (u'Scratch', 'moves', 10), (u'Master Ball', 'items', 1), (u'normal', 'types', 1), (u'...
# Data Parallel Control (dpCtl) # # Copyright 2020-2021 Intel Corporation # # 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....
from django.contrib import admin from pconsc.models import PredictallJob admin.site.register(PredictallJob)