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import click import progressbar import python_freeipa from collections import defaultdict from typing import Any, Dict, List from .status import Status, print_status from .utils import ObjectManager class Groups(ObjectManager): def __init__(self, *args, agreements, **kwargs): super().__init__(*args, **kw...
import click import progressbar import python_freeipa from collections import defaultdict from typing import Any, Dict, List from .status import Status, print_status from .utils import ObjectManager class Groups(ObjectManager): def __init__(self, *args, agreements, **kwargs): super().__init__(*args, **kw...
import tensorflow as tf #import tensorflow_hub as hub import numpy as np #import cv2 import zipfile import json import lzma import os import telenet.dataset_data as tn_data from telenet.utils import load_image_for_vrd_yolo, mdl_yolo, parse_yolo_results from telenet.config import get as tn_config from tqdm import tqdm ...
import tensorflow as tf #import tensorflow_hub as hub import numpy as np #import cv2 import zipfile import json import lzma import os import telenet.dataset_data as tn_data from telenet.utils import load_image_for_vrd_yolo, mdl_yolo, parse_yolo_results from telenet.config import get as tn_config from tqdm import tqdm ...
from typing import List, Tuple, Union, Dict from .base import Task from backprop.models import BaseModel, AutoModel from transformers.optimization import Adafactor from backprop.utils.datasets import TextToTextDataset import requests TASK = "emotion" DEFAULT_LOCAL_MODEL = "t5-base-qa-summary-emotion" LOCAL_ALIASES ...
from typing import List, Tuple, Union, Dict from .base import Task from backprop.models import BaseModel, AutoModel from transformers.optimization import Adafactor from backprop.utils.datasets import TextToTextDataset import requests TASK = "emotion" DEFAULT_LOCAL_MODEL = "t5-base-qa-summary-emotion" LOCAL_ALIASES ...
import datetime import json import os import sys import time import googleapiclient from gam.var import * import gam from gam import controlflow from gam import display from gam import fileutils from gam import gapi from gam.gapi import directory as gapi_directory from gam.gapi import errors as gapi_errors from gam.g...
import datetime import json import os import sys import time import googleapiclient from gam.var import * import gam from gam import controlflow from gam import display from gam import fileutils from gam import gapi from gam.gapi import directory as gapi_directory from gam.gapi import errors as gapi_errors from gam.g...
#!/usr/bin/env python3 import os import gym import torch import datetime import argparse import numpy as np from torch import nn from torch.optim.lr_scheduler import LambdaLR from torch.utils.tensorboard import SummaryWriter from torch.distributions import Independent, Normal from tianshou.policy import PGPolicy from...
#!/usr/bin/env python3 import os import gym import torch import datetime import argparse import numpy as np from torch import nn from torch.optim.lr_scheduler import LambdaLR from torch.utils.tensorboard import SummaryWriter from torch.distributions import Independent, Normal from tianshou.policy import PGPolicy from...
# -*- coding: utf8 -*- # @rhming import json import re,time,logging import requests import login from random import randint # from utils import jsonencode as json from utils.toutiao_reward import TouTiao from utils.jifen import encrypt_req_params, encrypt_free_login_params class blindBox: def _init...
# -*- coding: utf8 -*- # @rhming import json import re,time,logging import requests import login from random import randint # from utils import jsonencode as json from utils.toutiao_reward import TouTiao from utils.jifen import encrypt_req_params, encrypt_free_login_params class blindBox: def _init...
import errno import json import logging import os import os.path from collections import defaultdict, namedtuple from contextlib import contextmanager from datetime import datetime from functools import partial from itertools import groupby import attr from memoized import memoized from sqlalchemy import ( Column,...
import errno import json import logging import os import os.path from collections import defaultdict, namedtuple from contextlib import contextmanager from datetime import datetime from functools import partial from itertools import groupby import attr from memoized import memoized from sqlalchemy import ( Column,...
import os import contextlib import tarfile import json import numpy as np import PIL import torch from common_utils import get_tmp_dir import pickle import random from itertools import cycle from torchvision.io.video import write_video import unittest.mock import hashlib from distutils import dir_util import re def m...
import os import contextlib import tarfile import json import numpy as np import PIL import torch from common_utils import get_tmp_dir import pickle import random from itertools import cycle from torchvision.io.video import write_video import unittest.mock import hashlib from distutils import dir_util import re def m...
import json, requests, datetime item = 'HOT_POTATO_BOOK' r = requests.get(f"https://api.hypixel.net/skyblock/bazaar/product?key=7e8355c8-a50b-4473-ba41-b03d0473a0d8&productId={item}").json() for i in r['product_info']['week_historic']: time = datetime.datetime.fromtimestamp(i['timestamp']/1000).strftime("%a, %H:%...
import json, requests, datetime item = 'HOT_POTATO_BOOK' r = requests.get(f"https://api.hypixel.net/skyblock/bazaar/product?key=7e8355c8-a50b-4473-ba41-b03d0473a0d8&productId={item}").json() for i in r['product_info']['week_historic']: time = datetime.datetime.fromtimestamp(i['timestamp']/1000).strftime("%a, %H:%...
"""Definition and setup of the SpaceX Binary Sensors for Home Assistant.""" import logging import time import datetime from homeassistant.util.dt import as_local, utc_from_timestamp from homeassistant.components.sensor import ENTITY_ID_FORMAT, DEVICE_CLASS_TIMESTAMP from homeassistant.const import LENGTH_KILOMETERS, ...
"""Definition and setup of the SpaceX Binary Sensors for Home Assistant.""" import logging import time import datetime from homeassistant.util.dt import as_local, utc_from_timestamp from homeassistant.components.sensor import ENTITY_ID_FORMAT, DEVICE_CLASS_TIMESTAMP from homeassistant.const import LENGTH_KILOMETERS, ...
"""Tests for the unparse.py script in the Tools/parser directory.""" import unittest import test.support import pathlib import random import tokenize import ast def read_pyfile(filename): """Read and return the contents of a Python source file (as a string), taking into account the file encoding.""" with...
"""Tests for the unparse.py script in the Tools/parser directory.""" import unittest import test.support import pathlib import random import tokenize import ast def read_pyfile(filename): """Read and return the contents of a Python source file (as a string), taking into account the file encoding.""" with...
""" The ``python_function`` model flavor serves as a default model interface for MLflow Python models. Any MLflow Python model is expected to be loadable as a ``python_function`` model. In addition, the ``mlflow.pyfunc`` module defines a generic :ref:`filesystem format <pyfunc-filesystem-format>` for Python models and...
""" The ``python_function`` model flavor serves as a default model interface for MLflow Python models. Any MLflow Python model is expected to be loadable as a ``python_function`` model. In addition, the ``mlflow.pyfunc`` module defines a generic :ref:`filesystem format <pyfunc-filesystem-format>` for Python models and...
""" Script for cleaning data for 12 month evaluation. """ import os import re import sys import numpy as np import pandas as pd from pprint import pprint from glob import glob from typing import List, Dict from delphi.utils.shell import cd from delphi.paths import data_dir, south_sudan_data from delphi.utils.fp import...
""" Script for cleaning data for 12 month evaluation. """ import os import re import sys import numpy as np import pandas as pd from pprint import pprint from glob import glob from typing import List, Dict from delphi.utils.shell import cd from delphi.paths import data_dir, south_sudan_data from delphi.utils.fp import...
# coding=utf-8 # Copyright 2021 Google Research and The HuggingFace Inc. team. 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/LICE...
# coding=utf-8 # Copyright 2021 Google Research and The HuggingFace Inc. team. 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/LICE...
"""Provide the Reddit class.""" import asyncio import configparser import os import re import time from itertools import islice from logging import getLogger from typing import ( IO, TYPE_CHECKING, Any, Dict, Generator, Iterable, Optional, Type, Union, ) from warnings import warn fr...
"""Provide the Reddit class.""" import asyncio import configparser import os import re import time from itertools import islice from logging import getLogger from typing import ( IO, TYPE_CHECKING, Any, Dict, Generator, Iterable, Optional, Type, Union, ) from warnings import warn fr...
# SPDX-License-Identifier: BSD-3-Clause # Copyright (c) 2020 Intel Corporation import os import time from fastapi.testclient import TestClient from onecontainer_api import models, schemas, config, startup_svc from onecontainer_api.frontend import app web_server_port = 80 rtmp_server_port = 1935 for svc in config.IN...
# SPDX-License-Identifier: BSD-3-Clause # Copyright (c) 2020 Intel Corporation import os import time from fastapi.testclient import TestClient from onecontainer_api import models, schemas, config, startup_svc from onecontainer_api.frontend import app web_server_port = 80 rtmp_server_port = 1935 for svc in config.IN...
import datetime import math import sys from functools import partial import numpy as np import pandas as pd import pytest from pandas.util.testing import assert_frame_equal from pandas.util.testing import assert_series_equal from sklearn.pipeline import Pipeline from greykite.common import constants as cst from greyk...
import datetime import math import sys from functools import partial import numpy as np import pandas as pd import pytest from pandas.util.testing import assert_frame_equal from pandas.util.testing import assert_series_equal from sklearn.pipeline import Pipeline from greykite.common import constants as cst from greyk...
import argparse import base64 import json import random from datetime import datetime, timezone, timedelta from functools import partial from typing import List, Dict, Union, NamedTuple, Optional, Callable, Set import requests from uqcsbot import bot, Command from uqcsbot.api import Channel from uqcsbot.utils.command...
import argparse import base64 import json import random from datetime import datetime, timezone, timedelta from functools import partial from typing import List, Dict, Union, NamedTuple, Optional, Callable, Set import requests from uqcsbot import bot, Command from uqcsbot.api import Channel from uqcsbot.utils.command...
from datetime import datetime import click from tools import background, nasa_api from tools.utils import parse_str_to_date @click.group() def nasa_background(): pass @nasa_background.command() @click.option("--date", default=None, help="Enter the date as a single string in YYYYMMD...
from datetime import datetime import click from tools import background, nasa_api from tools.utils import parse_str_to_date @click.group() def nasa_background(): pass @nasa_background.command() @click.option("--date", default=None, help="Enter the date as a single string in YYYYMMD...
from django.shortcuts import render, redirect, get_object_or_404 from django.contrib import messages from django.contrib.auth.decorators import login_required from django.utils.decorators import method_decorator from django.http import HttpResponseRedirect from django.contrib.auth.mixins import LoginRequiredMixin, User...
from django.shortcuts import render, redirect, get_object_or_404 from django.contrib import messages from django.contrib.auth.decorators import login_required from django.utils.decorators import method_decorator from django.http import HttpResponseRedirect from django.contrib.auth.mixins import LoginRequiredMixin, User...
""" Command-line user interface. """ import argparse import sys from map_machine import __version__ from map_machine.map_configuration import BuildingMode, DrawingMode, LabelMode from map_machine.osm.osm_reader import STAGES_OF_DECAY __author__ = "Sergey Vartanov" __email__ = "me@enzet.ru" BOXES: str = " ▏▎▍▌▋▊▉" BO...
""" Command-line user interface. """ import argparse import sys from map_machine import __version__ from map_machine.map_configuration import BuildingMode, DrawingMode, LabelMode from map_machine.osm.osm_reader import STAGES_OF_DECAY __author__ = "Sergey Vartanov" __email__ = "me@enzet.ru" BOXES: str = " ▏▎▍▌▋▊▉" BO...
# coding=utf-8 # Copyright 2020-present the HuggingFace Inc. team. # # 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 ap...
# coding=utf-8 # Copyright 2020-present the HuggingFace Inc. team. # # 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 ap...
#!/usr/bin/python # -*- coding: utf-8 -*- __copyright__ = """ MIT License Copyright (c) 2021 Samapriya Roy Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without...
#!/usr/bin/python # -*- coding: utf-8 -*- __copyright__ = """ MIT License Copyright (c) 2021 Samapriya Roy Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without...
""" Meteostat JSON API Server The code is licensed under the MIT license. """ from datetime import datetime import json from flask import abort from meteostat import Point, Monthly, units from server import app, utils """ Meteostat configuration """ Point.radius = 120000 Monthly.threads = 4 Monthly.autoclean = Fals...
""" Meteostat JSON API Server The code is licensed under the MIT license. """ from datetime import datetime import json from flask import abort from meteostat import Point, Monthly, units from server import app, utils """ Meteostat configuration """ Point.radius = 120000 Monthly.threads = 4 Monthly.autoclean = Fals...
MENU = { "espresso": { "ingredients": { "water": 50, "coffee": 18, }, "cost": 15.5, }, "latte": { "ingredients": { "water": 200, "milk": 150, "coffee": 24, }, "cost": 20.0, }, ...
MENU = { "espresso": { "ingredients": { "water": 50, "coffee": 18, }, "cost": 15.5, }, "latte": { "ingredients": { "water": 200, "milk": 150, "coffee": 24, }, "cost": 20.0, }, ...
# -*- coding: utf-8 -*- # (C) Copyright IBM Corp. 2021. # # 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 l...
# -*- coding: utf-8 -*- # (C) Copyright IBM Corp. 2021. # # 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 l...
from collections import namedtuple from functools import update_wrapper from typing import ( TYPE_CHECKING, AbstractSet, Any, Callable, Dict, List, Optional, Union, cast, overload, ) from dagster import check from dagster.core.definitions.config import is_callable_valid_config_a...
from collections import namedtuple from functools import update_wrapper from typing import ( TYPE_CHECKING, AbstractSet, Any, Callable, Dict, List, Optional, Union, cast, overload, ) from dagster import check from dagster.core.definitions.config import is_callable_valid_config_a...
# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import logging import multiprocessing from collections import deque from contextlib import contextmanager from enum import Enum from itertools ...
# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import logging import multiprocessing from collections import deque from contextlib import contextmanager from enum import Enum from itertools ...
# SPDX-FileCopyrightText: 2017 Fermi Research Alliance, LLC # SPDX-License-Identifier: Apache-2.0 """ Code not written by us """ import os import sqlalchemy import structlog from decisionengine.framework.modules.logging_configDict import LOGGERNAME __all__ = ["orm_as_dict", "clone_model", "add_engine_pidguard"]...
# SPDX-FileCopyrightText: 2017 Fermi Research Alliance, LLC # SPDX-License-Identifier: Apache-2.0 """ Code not written by us """ import os import sqlalchemy import structlog from decisionengine.framework.modules.logging_configDict import LOGGERNAME __all__ = ["orm_as_dict", "clone_model", "add_engine_pidguard"]...
from flask import Blueprint, redirect, url_for, render_template, request, session from src.constants.model_params import Ridge_Params, Lasso_Params, ElasticNet_Params, RandomForestRegressor_Params, \ SVR_params, AdabootRegressor_Params, \ GradientBoostRegressor_Params from src.constants.model_params import Kmea...
from flask import Blueprint, redirect, url_for, render_template, request, session from src.constants.model_params import Ridge_Params, Lasso_Params, ElasticNet_Params, RandomForestRegressor_Params, \ SVR_params, AdabootRegressor_Params, \ GradientBoostRegressor_Params from src.constants.model_params import Kmea...
import os import time import ujson as json import torch import sys import pickle import numpy as np from torch.utils.data import Dataset import torch.distributed as dist import torch.nn.functional as F from bootleg.symbols.alias_entity_table import AliasEntityTable from bootleg.symbols.constants import * from bootleg....
import os import time import ujson as json import torch import sys import pickle import numpy as np from torch.utils.data import Dataset import torch.distributed as dist import torch.nn.functional as F from bootleg.symbols.alias_entity_table import AliasEntityTable from bootleg.symbols.constants import * from bootleg....
import matplotlib.pyplot as plt import numpy as np import seaborn as sns import pandas as pd import json import glob import os import argparse from typing import Tuple, Union, List from collections import Counter from tqdm import tqdm from multiprocessing import Pool pd.options.mode.chained_assignment = None # defa...
import matplotlib.pyplot as plt import numpy as np import seaborn as sns import pandas as pd import json import glob import os import argparse from typing import Tuple, Union, List from collections import Counter from tqdm import tqdm from multiprocessing import Pool pd.options.mode.chained_assignment = None # defa...
from gpiozero import CPUTemperature from tabulate import tabulate from math import floor import numpy as np import termplotlib as tpl import time import shutil def roundNum(num, digits): return floor(num * 10 ** digits) / (10 ** digits) def CtoF(temp): fahrenheit = (temp + 1.8) + 32 rounded = roundNum(fah...
from gpiozero import CPUTemperature from tabulate import tabulate from math import floor import numpy as np import termplotlib as tpl import time import shutil def roundNum(num, digits): return floor(num * 10 ** digits) / (10 ** digits) def CtoF(temp): fahrenheit = (temp + 1.8) + 32 rounded = roundNum(fah...
# -*- coding: utf-8 -*- """ Created on Sat Aug 3 23:07:15 2019 @author: ydima """ import logging import os from pathlib import Path import random import shlex import string from subprocess import PIPE, Popen import tempfile from typing import Dict, List, Optional, Union import pandas as pd from .constants import (...
# -*- coding: utf-8 -*- """ Created on Sat Aug 3 23:07:15 2019 @author: ydima """ import logging import os from pathlib import Path import random import shlex import string from subprocess import PIPE, Popen import tempfile from typing import Dict, List, Optional, Union import pandas as pd from .constants import (...
from BiblioAlly import catalog as cat, domain, translator as bibtex class IeeeXTranslator(bibtex.Translator): def _document_from_proto_document(self, proto_document): bibtex.Translator._translate_kind(proto_document) kind = proto_document['type'] fields = proto_document['field'] i...
from BiblioAlly import catalog as cat, domain, translator as bibtex class IeeeXTranslator(bibtex.Translator): def _document_from_proto_document(self, proto_document): bibtex.Translator._translate_kind(proto_document) kind = proto_document['type'] fields = proto_document['field'] i...
import pytest from receptor.router import MeshRouter test_networks = [ ( [ ("a", "b", 1), ("a", "d", 1), ("a", "f", 1), ("b", "d", 1), ("b", "c", 1), ("c", "e", 1), ("c", "h", 1), ("c", "j", 1), ("e"...
import pytest from receptor.router import MeshRouter test_networks = [ ( [ ("a", "b", 1), ("a", "d", 1), ("a", "f", 1), ("b", "d", 1), ("b", "c", 1), ("c", "e", 1), ("c", "h", 1), ("c", "j", 1), ("e"...
# pylint: disable=invalid-name # Requires Python 3.6+ # Ref: https://www.sphinx-doc.org/en/master/usage/configuration.html """Configuration for the Sphinx documentation generator.""" import sys from functools import partial from pathlib import Path from setuptools_scm import get_version # -- Path setup ------------...
# pylint: disable=invalid-name # Requires Python 3.6+ # Ref: https://www.sphinx-doc.org/en/master/usage/configuration.html """Configuration for the Sphinx documentation generator.""" import sys from functools import partial from pathlib import Path from setuptools_scm import get_version # -- Path setup ------------...
from typing import Dict from handler import Context, Arguments, CommandResult from rpg.items import Item from utils.formatting import codeblock from utils.command_helpers import get_author_player async def run(ctx: Context, args: Arguments) -> CommandResult: player = await get_author_player(ctx) if player.i...
from typing import Dict from handler import Context, Arguments, CommandResult from rpg.items import Item from utils.formatting import codeblock from utils.command_helpers import get_author_player async def run(ctx: Context, args: Arguments) -> CommandResult: player = await get_author_player(ctx) if player.i...
from src.utils.config import config import json # import uuid import requests _NAMESPACE = "WS" _VER_NAMESPACE = "WSVER" _SAMPLE_NAMESPACE = "SMP" # versioned and non-versioned index have same version _SAMPLE_SET_INDEX_VERSION = 1 _SAMPLE_SET_INDEX_NAME = 'sample_set_' + str(_SAMPLE_SET_INDEX_VERSION) _VER_SAMPLE_SET...
from src.utils.config import config import json # import uuid import requests _NAMESPACE = "WS" _VER_NAMESPACE = "WSVER" _SAMPLE_NAMESPACE = "SMP" # versioned and non-versioned index have same version _SAMPLE_SET_INDEX_VERSION = 1 _SAMPLE_SET_INDEX_NAME = 'sample_set_' + str(_SAMPLE_SET_INDEX_VERSION) _VER_SAMPLE_SET...
import discord import io import aiohttp from aiohttp import request, ClientSession from src.embeds.image_embed import ImageEmbed async def request_canvas_image(ctx, url, member: discord.Member = None, params={}, is_gif=False): params_url = "&" + "&".join(["{}={}".format(k, v) for k...
import discord import io import aiohttp from aiohttp import request, ClientSession from src.embeds.image_embed import ImageEmbed async def request_canvas_image(ctx, url, member: discord.Member = None, params={}, is_gif=False): params_url = "&" + "&".join(["{}={}".format(k, v) for k...
"""Dataset, producer, and config metadata.""" import logging import warnings import sqlalchemy as sa from .._globals import REGISTRY as registry from .. import _tools from .. import backend as _backend __all__ = ['Dataset', 'Producer', 'Config'] log = logging.getLogger(__name__) @registry.mapped class Dataset:...
"""Dataset, producer, and config metadata.""" import logging import warnings import sqlalchemy as sa from .._globals import REGISTRY as registry from .. import _tools from .. import backend as _backend __all__ = ['Dataset', 'Producer', 'Config'] log = logging.getLogger(__name__) @registry.mapped class Dataset:...
### # (C) Copyright [2019-2020] Hewlett Packard Enterprise Development LP # # 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 ...
### # (C) Copyright [2019-2020] Hewlett Packard Enterprise Development LP # # 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 ...
#!/usr/bin/env python3 import sys import os import re import argparse import requests from bs4 import BeautifulSoup as bs version=1.1 print("""\033[1;36m ╦ ╦╔═╗╔╗ ╦═╗╔═╗╔═╗╔╦╗╔═╗╦═╗ ║║║║╣ ╠╩╗ ╠╦╝║╣ ╠═╣║║║║╣ ╠╦╝ ╚╩╝╚═╝╚═╝────╩╚═╚═╝╩ ╩╩ ╩╚═╝╩╚═ 🔗🔥🔗🔥🔗🔥🔗🔥🔗🔥🔗🔥🔗🔥🔗🔥 ...
#!/usr/bin/env python3 import sys import os import re import argparse import requests from bs4 import BeautifulSoup as bs version=1.1 print("""\033[1;36m ╦ ╦╔═╗╔╗ ╦═╗╔═╗╔═╗╔╦╗╔═╗╦═╗ ║║║║╣ ╠╩╗ ╠╦╝║╣ ╠═╣║║║║╣ ╠╦╝ ╚╩╝╚═╝╚═╝────╩╚═╚═╝╩ ╩╩ ╩╚═╝╩╚═ 🔗🔥🔗🔥🔗🔥🔗🔥🔗🔥🔗🔥🔗🔥🔗🔥 ...
import demistomock as demisto from CommonServerPython import * from CommonServerUserPython import * ''' IMPORTS ''' import requests # Disable insecure warnings requests.packages.urllib3.disable_warnings() API_KEY = demisto.getParam('APIKey') SERVER_URL = 'https://analyze.intezer.com/api' API_VERSION = '/v2-0' BASE_...
import demistomock as demisto from CommonServerPython import * from CommonServerUserPython import * ''' IMPORTS ''' import requests # Disable insecure warnings requests.packages.urllib3.disable_warnings() API_KEY = demisto.getParam('APIKey') SERVER_URL = 'https://analyze.intezer.com/api' API_VERSION = '/v2-0' BASE_...
"""api_gw_test""" # Remove warnings when using pytest fixtures # pylint: disable=redefined-outer-name import json from test.conftest import ENDPOINT_URL # warning disabled, this is used as a pylint fixture from test.elasticsearch_test import ( # pylint: disable=unused-import es_client, populate_es_test_case...
"""api_gw_test""" # Remove warnings when using pytest fixtures # pylint: disable=redefined-outer-name import json from test.conftest import ENDPOINT_URL # warning disabled, this is used as a pylint fixture from test.elasticsearch_test import ( # pylint: disable=unused-import es_client, populate_es_test_case...
import copy import sys import pprint import os, os.path as op from datetime import date, datetime, timedelta from collections import OrderedDict from functools import partial from urllib.parse import urlparse import yaml from natsort import natsorted, ns from pykwalify.core import Core def abort(msg): sys.stderr...
import copy import sys import pprint import os, os.path as op from datetime import date, datetime, timedelta from collections import OrderedDict from functools import partial from urllib.parse import urlparse import yaml from natsort import natsorted, ns from pykwalify.core import Core def abort(msg): sys.stderr...
from configparser import ConfigParser import feedparser import re import requests import tweepy def get_id(xkcd_link: str) -> int: """ Exctract comic id from xkcd link """ match = re.search(r"\d+", xkcd_link) if match: return int(match.group()) else: return 0 def get_xkcd_rss...
from configparser import ConfigParser import feedparser import re import requests import tweepy def get_id(xkcd_link: str) -> int: """ Exctract comic id from xkcd link """ match = re.search(r"\d+", xkcd_link) if match: return int(match.group()) else: return 0 def get_xkcd_rss...
import logging import os import sys import warnings from collections import namedtuple from typing import * import matplotlib.image import matplotlib.pyplot as plt from torch import Tensor from torch.utils.tensorboard import SummaryWriter from booster import Diagnostic from .datatracker import DataTracker BestScore ...
import logging import os import sys import warnings from collections import namedtuple from typing import * import matplotlib.image import matplotlib.pyplot as plt from torch import Tensor from torch.utils.tensorboard import SummaryWriter from booster import Diagnostic from .datatracker import DataTracker BestScore ...
"""Test the creation of all inventories.""" import stewi from stewi.globals import paths, STEWI_VERSION, config year = 2018 def test_inventory_generation(): # Create new local path paths.local_path = paths.local_path + "_" + STEWI_VERSION error_list = [] for inventory in config()['databases']: ...
"""Test the creation of all inventories.""" import stewi from stewi.globals import paths, STEWI_VERSION, config year = 2018 def test_inventory_generation(): # Create new local path paths.local_path = paths.local_path + "_" + STEWI_VERSION error_list = [] for inventory in config()['databases']: ...
"""Report routes.""" import os from urllib import parse import bottle import requests from pymongo.database import Database from database import sessions from database.datamodels import latest_datamodel from database.measurements import recent_measurements_by_metric_uuid from database.reports import insert_new_repor...
"""Report routes.""" import os from urllib import parse import bottle import requests from pymongo.database import Database from database import sessions from database.datamodels import latest_datamodel from database.measurements import recent_measurements_by_metric_uuid from database.reports import insert_new_repor...
import glob import shutil import subprocess import os import sys import argparse # Read and save metadata from file def exiftool_metadata(path): metadata = {} exifToolPath = 'exifTool.exe' ''' use Exif tool to get the metadata ''' process = subprocess.Popen( [ exifToolPath, ...
import glob import shutil import subprocess import os import sys import argparse # Read and save metadata from file def exiftool_metadata(path): metadata = {} exifToolPath = 'exifTool.exe' ''' use Exif tool to get the metadata ''' process = subprocess.Popen( [ exifToolPath, ...
import os import shutil import subprocess import re import string import pathlib import timeit import jmhbenchmark class JHaskellBenchmark(jmhbenchmark.JMHBenchmark): def __init__(self, name, source_path, compiler_args=None): if compiler_args is None: compiler_args = [] source_path = ...
import os import shutil import subprocess import re import string import pathlib import timeit import jmhbenchmark class JHaskellBenchmark(jmhbenchmark.JMHBenchmark): def __init__(self, name, source_path, compiler_args=None): if compiler_args is None: compiler_args = [] source_path = ...
r""" Early Stopping ^^^^^^^^^^^^^^ Monitor a validation metric and stop training when it stops improving. """ from copy import deepcopy import numpy as np import torch import torch.distributed as dist from pytorch_lightning import _logger as log from pytorch_lightning.callbacks.base import Callback from pytorch_lig...
r""" Early Stopping ^^^^^^^^^^^^^^ Monitor a validation metric and stop training when it stops improving. """ from copy import deepcopy import numpy as np import torch import torch.distributed as dist from pytorch_lightning import _logger as log from pytorch_lightning.callbacks.base import Callback from pytorch_lig...
import base64 import os import tkinter as tk import tkinter.messagebox as msg import tkinter.ttk as ttk from functools import partial from chatwindow import ChatWindow from requester import Requester from avatarwindow import AvatarWindow from addfriendwindow import AddFriendWindow friend_avatars_dir = os.path.abspat...
import base64 import os import tkinter as tk import tkinter.messagebox as msg import tkinter.ttk as ttk from functools import partial from chatwindow import ChatWindow from requester import Requester from avatarwindow import AvatarWindow from addfriendwindow import AddFriendWindow friend_avatars_dir = os.path.abspat...
#!/usr/bin/env python import os import logging import requests import json import configparser import sys import time import re from os.path import dirname from config import ( instanceA_url, instanceA_key, instanceA_path, instanceA_profile, instanceA_profile_id, instanceA_profile_filter, instanceA_profile_f...
#!/usr/bin/env python import os import logging import requests import json import configparser import sys import time import re from os.path import dirname from config import ( instanceA_url, instanceA_key, instanceA_path, instanceA_profile, instanceA_profile_id, instanceA_profile_filter, instanceA_profile_f...
# ble_command_load_group.py/Open GoPro, Version 2.0 (C) Copyright 2021 GoPro, Inc. (http://gopro.com/OpenGoPro). # This copyright was auto-generated on Wed, Sep 1, 2021 5:05:57 PM import sys import asyncio import logging import argparse from typing import Optional from binascii import hexlify from bleak import Blea...
# ble_command_load_group.py/Open GoPro, Version 2.0 (C) Copyright 2021 GoPro, Inc. (http://gopro.com/OpenGoPro). # This copyright was auto-generated on Wed, Sep 1, 2021 5:05:57 PM import sys import asyncio import logging import argparse from typing import Optional from binascii import hexlify from bleak import Blea...
import cProfile import json import logging import os import pstats import signal import tempfile import time import traceback from django.conf import settings from django.utils.timezone import now as tz_now from django.db import DatabaseError, OperationalError, connection as django_connection from django.db.utils impo...
import cProfile import json import logging import os import pstats import signal import tempfile import time import traceback from django.conf import settings from django.utils.timezone import now as tz_now from django.db import DatabaseError, OperationalError, connection as django_connection from django.db.utils impo...
''' SPEECH-TO-TEXT USING MICROSOFT SPEECH API ''' ''' nonstoptimm@gmail.com ''' # Import required packages import os import glob import json import logging import codecs import helper as he import azure.cognitiveservices.speech as speechsdk import params as pa # Load and set configuration parameters pa.get_config() ...
''' SPEECH-TO-TEXT USING MICROSOFT SPEECH API ''' ''' nonstoptimm@gmail.com ''' # Import required packages import os import glob import json import logging import codecs import helper as he import azure.cognitiveservices.speech as speechsdk import params as pa # Load and set configuration parameters pa.get_config() ...
#!/usr/bin/env python3 # PYTHON_ARGCOMPLETE_OK """Entry point for cwltool.""" import argparse import copy import functools import io import logging import os import signal import subprocess # nosec import sys import time import urllib import warnings from codecs import StreamWriter, getwriter from collections.abc imp...
#!/usr/bin/env python3 # PYTHON_ARGCOMPLETE_OK """Entry point for cwltool.""" import argparse import copy import functools import io import logging import os import signal import subprocess # nosec import sys import time import urllib import warnings from codecs import StreamWriter, getwriter from collections.abc imp...
import builtins import os import sys from array import array from collections import Counter, defaultdict, deque from dataclasses import dataclass, fields, is_dataclass from itertools import islice from typing import ( TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional, Set, ...
import builtins import os import sys from array import array from collections import Counter, defaultdict, deque from dataclasses import dataclass, fields, is_dataclass from itertools import islice from typing import ( TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional, Set, ...
#!/usr/bin/env python3 import asyncio import logging from collections import defaultdict from functools import partial from box import Box _l = logging.getLogger(__name__) _instances = dict() _events = defaultdict(asyncio.Event) _event_queues = list() _event_callbacks = defaultdict(list) class Component: """...
#!/usr/bin/env python3 import asyncio import logging from collections import defaultdict from functools import partial from box import Box _l = logging.getLogger(__name__) _instances = dict() _events = defaultdict(asyncio.Event) _event_queues = list() _event_callbacks = defaultdict(list) class Component: """...
import asyncio import logging import voluptuous as vol from homeassistant.components.system_log import CONF_LOGGER from homeassistant.config_entries import ConfigEntry from homeassistant.const import EVENT_HOMEASSISTANT_STOP from homeassistant.core import HomeAssistant, Event from homeassistant.helpers import config_v...
import asyncio import logging import voluptuous as vol from homeassistant.components.system_log import CONF_LOGGER from homeassistant.config_entries import ConfigEntry from homeassistant.const import EVENT_HOMEASSISTANT_STOP from homeassistant.core import HomeAssistant, Event from homeassistant.helpers import config_v...
# pylint: disable=too-many-lines import os import random import shutil import time import uuid from retval import RetVal from pycryptostring import CryptoString from pymensago.encryption import EncryptionPair from pymensago.hash import blake2hash from pymensago.serverconn import ServerConnection from integration_set...
# pylint: disable=too-many-lines import os import random import shutil import time import uuid from retval import RetVal from pycryptostring import CryptoString from pymensago.encryption import EncryptionPair from pymensago.hash import blake2hash from pymensago.serverconn import ServerConnection from integration_set...
# -*- coding: utf-8 -*- import requests from webs.api.exceptions.customs import ServerError, InvalidAPIRequest, RecordNotFound, RecordAlreadyExists class RequestMixin(object): CODE_EXCEPTION_MSG = { 400: InvalidAPIRequest, 404: RecordNotFound, 409: RecordAlreadyExists, 422: Inva...
# -*- coding: utf-8 -*- import requests from webs.api.exceptions.customs import ServerError, InvalidAPIRequest, RecordNotFound, RecordAlreadyExists class RequestMixin(object): CODE_EXCEPTION_MSG = { 400: InvalidAPIRequest, 404: RecordNotFound, 409: RecordAlreadyExists, 422: Inva...
import contextlib import ipaddress import json import os import random import re import time import warnings from collections import Counter from typing import Any, Dict, List, Optional, Set, Union import requests import test_infra.utils.waiting import waiting import yaml from assisted_service_client import models fro...
import contextlib import ipaddress import json import os import random import re import time import warnings from collections import Counter from typing import Any, Dict, List, Optional, Set, Union import requests import test_infra.utils.waiting import waiting import yaml from assisted_service_client import models fro...
import codecs import csv import datetime import logging from django.contrib.auth import get_user_model from django.contrib.auth.models import Group from todo.models import Task, TaskList log = logging.getLogger(__name__) class CSVImporter: """Core upsert functionality for CSV import, for re-use by `import_csv`...
import codecs import csv import datetime import logging from django.contrib.auth import get_user_model from django.contrib.auth.models import Group from todo.models import Task, TaskList log = logging.getLogger(__name__) class CSVImporter: """Core upsert functionality for CSV import, for re-use by `import_csv`...
import sys import math import os sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../../../") from sdc_etl_libs.sdc_dataframe.Dataframe import * import pandas as pd import numpy as np import json import pytest def test_generate_insert_query_ddl(mocker): test_schema = """ { "namespace": "Ti...
import sys import math import os sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../../../") from sdc_etl_libs.sdc_dataframe.Dataframe import * import pandas as pd import numpy as np import json import pytest def test_generate_insert_query_ddl(mocker): test_schema = """ { "namespace": "Ti...
"""BERT Training Script.""" import functools from typing import Any, Callable, Dict, Tuple, Optional, Type from absl import logging from clu import metric_writers from clu import periodic_actions from flax import jax_utils import flax.linen as nn import jax from jax.experimental import optimizers as jax_optimizers im...
"""BERT Training Script.""" import functools from typing import Any, Callable, Dict, Tuple, Optional, Type from absl import logging from clu import metric_writers from clu import periodic_actions from flax import jax_utils import flax.linen as nn import jax from jax.experimental import optimizers as jax_optimizers im...
"""Config flow to configure the Netgear integration.""" from __future__ import annotations import logging from typing import cast from urllib.parse import urlparse from pynetgear import DEFAULT_HOST, DEFAULT_PORT, DEFAULT_USER import voluptuous as vol from homeassistant import config_entries from homeassistant.compo...
"""Config flow to configure the Netgear integration.""" from __future__ import annotations import logging from typing import cast from urllib.parse import urlparse from pynetgear import DEFAULT_HOST, DEFAULT_PORT, DEFAULT_USER import voluptuous as vol from homeassistant import config_entries from homeassistant.compo...
# # 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...
# # 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...
from typing import Dict from flask_babel import _ from anyway.backend_constants import InjurySeverity from anyway.infographics_dictionaries import segment_dictionary from anyway.models import InvolvedMarkerView from anyway.request_params import RequestParams from anyway.widgets.suburban_widgets.sub_urban_widg...
from typing import Dict from flask_babel import _ from anyway.backend_constants import InjurySeverity from anyway.infographics_dictionaries import segment_dictionary from anyway.models import InvolvedMarkerView from anyway.request_params import RequestParams from anyway.widgets.suburban_widgets.sub_urban_widg...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jan 15 10:38:14 2021 @author: kunal001 """ import logging logger = logging.getLogger(__name__) class CreateDatabase: def __init__(self,hier_graph,const_parse): self.hier_graph_dict = {} self.const_parse = const_parse self.G ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jan 15 10:38:14 2021 @author: kunal001 """ import logging logger = logging.getLogger(__name__) class CreateDatabase: def __init__(self,hier_graph,const_parse): self.hier_graph_dict = {} self.const_parse = const_parse self.G ...
# <editor-fold desc="Basic Imports"> import os import os.path as p import requests from time import time from argparse import ArgumentParser import sys sys.path.append(p.join(p.dirname(__file__), '..')) sys.path.append(p.join(p.dirname(__file__), '../..')) # </editor-fold> # <editor-fold desc="Parse Command Line Args...
# <editor-fold desc="Basic Imports"> import os import os.path as p import requests from time import time from argparse import ArgumentParser import sys sys.path.append(p.join(p.dirname(__file__), '..')) sys.path.append(p.join(p.dirname(__file__), '../..')) # </editor-fold> # <editor-fold desc="Parse Command Line Args...
import json import time from dataclasses import dataclass from logging import Logger import requests from insightconnect_plugin_runtime.exceptions import PluginException from insightconnect_plugin_runtime.helper import clean from requests.auth import HTTPBasicAuth @dataclass class AlertParams: alert_type: [str] ...
import json import time from dataclasses import dataclass from logging import Logger import requests from insightconnect_plugin_runtime.exceptions import PluginException from insightconnect_plugin_runtime.helper import clean from requests.auth import HTTPBasicAuth @dataclass class AlertParams: alert_type: [str] ...
# # Copyright (c) 2021 Software AG, Darmstadt, Germany and/or its licensors # # SPDX-License-Identifier: Apache-2.0 # # 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.apach...
# # Copyright (c) 2021 Software AG, Darmstadt, Germany and/or its licensors # # SPDX-License-Identifier: Apache-2.0 # # 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.apach...
from math import log, exp from numpy import inf, zeros, zeros_like as np_zeros_like, arange, asarray, empty from pandas import concat from anndata import AnnData from torch import cat, no_grad, randn, zeros_like, zeros as torch_zeros, ones, argmax from torch.nn import Module, Linear, Sequential, RNNCell, Softplus, Par...
from math import log, exp from numpy import inf, zeros, zeros_like as np_zeros_like, arange, asarray, empty from pandas import concat from anndata import AnnData from torch import cat, no_grad, randn, zeros_like, zeros as torch_zeros, ones, argmax from torch.nn import Module, Linear, Sequential, RNNCell, Softplus, Par...
# Licensed to Modin Development Team under one or more contributor license agreements. # See the NOTICE file distributed with this work for additional information regarding # copyright ownership. The Modin Development Team licenses this file to you under the # Apache License, Version 2.0 (the "License"); you may not u...
# Licensed to Modin Development Team under one or more contributor license agreements. # See the NOTICE file distributed with this work for additional information regarding # copyright ownership. The Modin Development Team licenses this file to you under the # Apache License, Version 2.0 (the "License"); you may not u...
import pandas as pd import tweepy from textblob import TextBlob from wordcloud import WordCloud import plotly.graph_objs as go import os import re import pystan import numpy as np import streamlit as st import matplotlib.pyplot as plt import yfinance as yf from fbprophet import Prophet from fbprophet.plot import plo...
import pandas as pd import tweepy from textblob import TextBlob from wordcloud import WordCloud import plotly.graph_objs as go import os import re import pystan import numpy as np import streamlit as st import matplotlib.pyplot as plt import yfinance as yf from fbprophet import Prophet from fbprophet.plot import plo...
"""HelloWorld Integration for Cortex XSOAR (aka Demisto) This integration is a good example on you can build a Cortex XSOAR Integration using Python 3. Please follow the documentation links below and make sure that your integration follows the Code Conventions and passes the Linting phase. Developer Documentation: ht...
"""HelloWorld Integration for Cortex XSOAR (aka Demisto) This integration is a good example on you can build a Cortex XSOAR Integration using Python 3. Please follow the documentation links below and make sure that your integration follows the Code Conventions and passes the Linting phase. Developer Documentation: ht...
from datetime import datetime, timedelta import requests from decouple import config from django.contrib.auth.models import User from django.test import TestCase from django.utils import timezone from .models import Socio class ModelTest(TestCase): def setUp(self): Socio( user=User.objects.c...
from datetime import datetime, timedelta import requests from decouple import config from django.contrib.auth.models import User from django.test import TestCase from django.utils import timezone from .models import Socio class ModelTest(TestCase): def setUp(self): Socio( user=User.objects.c...
#!/usr/bin/env python3 # -*- coding: UTF-8 -*- """ 平安行动自动打卡 请事先安装好 lxml 和 requests 模块 pip install lxml requests 然后修改 27-31 行为自己的数据,未使用的变量保持原样即可 如有需要请自行配置 149-171 行的 SMTP 发信或 174-177 行的 Server 酱微信提醒 Created on 2020-04-13 20:20 @author: ZhangJiawei & Liu Chongpeng & Liu Lu """ import requests import lxml.html i...
#!/usr/bin/env python3 # -*- coding: UTF-8 -*- """ 平安行动自动打卡 请事先安装好 lxml 和 requests 模块 pip install lxml requests 然后修改 27-31 行为自己的数据,未使用的变量保持原样即可 如有需要请自行配置 149-171 行的 SMTP 发信或 174-177 行的 Server 酱微信提醒 Created on 2020-04-13 20:20 @author: ZhangJiawei & Liu Chongpeng & Liu Lu """ import requests import lxml.html i...
# -*- coding: utf-8 -*- # Resource object code # # Created: Mon Oct 15 12:53:43 2018 # by: The Resource Compiler for PySide (Qt v4.8.7) # # WARNING! All changes made in this file will be lost! from PySide import QtCore qt_resource_data = b"\x00\x006x\x89PNG\x0d\x0a\x1a\x0a\x00\x00\x00\x0dIHDR\x00\x00\x02|\x00\x...
# -*- coding: utf-8 -*- # Resource object code # # Created: Mon Oct 15 12:53:43 2018 # by: The Resource Compiler for PySide (Qt v4.8.7) # # WARNING! All changes made in this file will be lost! from PySide import QtCore qt_resource_data = b"\x00\x006x\x89PNG\x0d\x0a\x1a\x0a\x00\x00\x00\x0dIHDR\x00\x00\x02|\x00\x...
# # MIT License # # Copyright (c) 2020 Airbyte # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, pu...
# # MIT License # # Copyright (c) 2020 Airbyte # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, pu...
#!/usr/bin/env python """TcEx Framework Validate Module.""" # standard library import ast import importlib import json import os import sys import traceback from collections import deque from pathlib import Path from typing import Dict, Union # third-party import colorama as c # from jsonschema import SchemaError, Va...
#!/usr/bin/env python """TcEx Framework Validate Module.""" # standard library import ast import importlib import json import os import sys import traceback from collections import deque from pathlib import Path from typing import Dict, Union # third-party import colorama as c # from jsonschema import SchemaError, Va...
import frappe, re from renovation_service_provider_manager import invoke_mediator @frappe.whitelist(allow_guest=True) def get_service_provider_client_id(provider): k = f"client_id_{re.sub("[^0-9a-zA-Z]+", "_", provider.lower())}" client_id = frappe.cache().get_value(k) if client_id: return client_id clien...
import frappe, re from renovation_service_provider_manager import invoke_mediator @frappe.whitelist(allow_guest=True) def get_service_provider_client_id(provider): k = f"client_id_{re.sub('[^0-9a-zA-Z]+', '_', provider.lower())}" client_id = frappe.cache().get_value(k) if client_id: return client_id clien...
#!/usr/bin/env python """ Object-oriented implementation of backup reporting code. Defines a class called 'Backup' that records all backups of a device """ import os, sys, argparse import glob from configparser import ConfigParser from atlassian import Confluence class Backup: def __init__(sel...
#!/usr/bin/env python """ Object-oriented implementation of backup reporting code. Defines a class called 'Backup' that records all backups of a device """ import os, sys, argparse import glob from configparser import ConfigParser from atlassian import Confluence class Backup: def __init__(sel...
import os import re import shutil import sys import urllib.error import urllib.parse import urllib.request from zipfile import ZipFile import helpers.config as config from helpers.logger import Logger class Updater: __instance = None @staticmethod def Get(): if Updater.__instance is None: ...
import os import re import shutil import sys import urllib.error import urllib.parse import urllib.request from zipfile import ZipFile import helpers.config as config from helpers.logger import Logger class Updater: __instance = None @staticmethod def Get(): if Updater.__instance is None: ...
import copy import functools import warnings from types import MethodType from typing import Dict, List, Optional, Type, Union import dill import pandas as pd from feast.base_feature_view import BaseFeatureView from feast.data_source import RequestSource from feast.errors import RegistryInferenceFailure, SpecifiedFea...
import copy import functools import warnings from types import MethodType from typing import Dict, List, Optional, Type, Union import dill import pandas as pd from feast.base_feature_view import BaseFeatureView from feast.data_source import RequestSource from feast.errors import RegistryInferenceFailure, SpecifiedFea...
# -*- coding: utf-8 -*- """Access to FAIRsharing via its API. .. seealso:: https://beta.fairsharing.org/API_doc """ from typing import Any, Iterable, Mapping, MutableMapping, Optional import pystow import requests import yaml from tqdm import tqdm __all__ = [ "ensure_fairsharing", "load_fairsharing", "...
# -*- coding: utf-8 -*- """Access to FAIRsharing via its API. .. seealso:: https://beta.fairsharing.org/API_doc """ from typing import Any, Iterable, Mapping, MutableMapping, Optional import pystow import requests import yaml from tqdm import tqdm __all__ = [ "ensure_fairsharing", "load_fairsharing", "...
"""common logic for all queries""" import json from functools import partial, singledispatch from operator import itemgetter import snug from gentools import (compose, map_yield, map_send, oneyield, reusable, map_return) from .load import registry API_URL = 'https://slack.com/api/' class ApiE...
"""common logic for all queries""" import json from functools import partial, singledispatch from operator import itemgetter import snug from gentools import (compose, map_yield, map_send, oneyield, reusable, map_return) from .load import registry API_URL = 'https://slack.com/api/' class ApiE...
"""Provide useful functions for using PTLFlow.""" # ============================================================================= # Copyright 2021 Henrique Morimitsu # # 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...
"""Provide useful functions for using PTLFlow.""" # ============================================================================= # Copyright 2021 Henrique Morimitsu # # 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...
#!/usr/bin/env python # coding: utf-8 import logging.config import os # Конфигурация базы данных DB_CONFIG = { 'username': 'root', 'password': os.environ.get('MYSQL_TRADING_PASS'), 'host': '127.0.0.1', 'dbname': 'trading_db', } # Конфигурация журналирования LOGGING = { 'version': 1, 'format...
#!/usr/bin/env python # coding: utf-8 import logging.config import os # Конфигурация базы данных DB_CONFIG = { 'username': 'root', 'password': os.environ.get('MYSQL_TRADING_PASS'), 'host': '127.0.0.1', 'dbname': 'trading_db', } # Конфигурация журналирования LOGGING = { 'version': 1, 'format...
# https://github.com/facebookresearch/torchbeast/blob/master/torchbeast/core/environment.py import numpy as np from collections import deque import gym from gym import spaces import cv2 cv2.ocl.setUseOpenCL(False) class NoopResetEnv(gym.Wrapper): def __init__(self, env, noop_max=30): """Sample initial st...
# https://github.com/facebookresearch/torchbeast/blob/master/torchbeast/core/environment.py import numpy as np from collections import deque import gym from gym import spaces import cv2 cv2.ocl.setUseOpenCL(False) class NoopResetEnv(gym.Wrapper): def __init__(self, env, noop_max=30): """Sample initial st...
# Copyright (C) 2019 The Raphielscape Company LLC. # # Licensed under the Raphielscape Public License, Version 1.c (the "License"); # you may not use this file except in compliance with the License. """ Userbot module for having some fun with people. """ import os import urllib import requests from re import sub from ...
# Copyright (C) 2019 The Raphielscape Company LLC. # # Licensed under the Raphielscape Public License, Version 1.c (the "License"); # you may not use this file except in compliance with the License. """ Userbot module for having some fun with people. """ import os import urllib import requests from re import sub from ...
import math import lavalink import ksoftapi import discord from discord.ext import commands class Music(commands.Cog): def __init__(self, bot): self.bot = bot self.kclient = bot.kclient if not hasattr(bot, 'lavalink'): bot.lavalink = lavalink.Client(bot.user.id) bo...
import math import lavalink import ksoftapi import discord from discord.ext import commands class Music(commands.Cog): def __init__(self, bot): self.bot = bot self.kclient = bot.kclient if not hasattr(bot, 'lavalink'): bot.lavalink = lavalink.Client(bot.user.id) bo...
from werkzeug.wrappers import Request from flask import Flask, redirect, url_for, request, flash from flask_sqlalchemy import SQLAlchemy import os import requests import random from contact_form import ContactForm from flask_dance.contrib.github import make_github_blueprint, github from flask_dance.contrib.gitl...
from werkzeug.wrappers import Request from flask import Flask, redirect, url_for, request, flash from flask_sqlalchemy import SQLAlchemy import os import requests import random from contact_form import ContactForm from flask_dance.contrib.github import make_github_blueprint, github from flask_dance.contrib.gitl...
from colab_ssh.utils.packages.installer import create_deb_installer from colab_ssh.utils.ui.render_html import render_template from subprocess import Popen, PIPE import shlex from colab_ssh._command import run_command, run_with_pipe import os import time from colab_ssh.get_tunnel_config import get_argo_tunnel_config fr...
from colab_ssh.utils.packages.installer import create_deb_installer from colab_ssh.utils.ui.render_html import render_template from subprocess import Popen, PIPE import shlex from colab_ssh._command import run_command, run_with_pipe import os import time from colab_ssh.get_tunnel_config import get_argo_tunnel_config fr...
import logging import os import subprocess import tempfile from argparse import Namespace from pathlib import Path from .error import EvalError from .manifest import Repo, load_manifest, update_lock_file from .path import EVALREPO_PATH, LOCK_PATH, MANIFEST_PATH, nixpkgs_path from .prefetch import prefetch logger = lo...
import logging import os import subprocess import tempfile from argparse import Namespace from pathlib import Path from .error import EvalError from .manifest import Repo, load_manifest, update_lock_file from .path import EVALREPO_PATH, LOCK_PATH, MANIFEST_PATH, nixpkgs_path from .prefetch import prefetch logger = lo...
import json import os import httpx import time def get_cities(cfg): return cfg['cities'].keys() def get_usable_bounding_boxes(nominal_boxes, cfg): FLICKR_PUBLIC = get_secret('flickr_api_key') FLICKR_SECRET = get_secret('flickr_api_secret') flickr = FlickrAPI(FLICKR_PUBLIC, FLICKR_SECRET, format='parsed-j...
import json import os import httpx import time def get_cities(cfg): return cfg['cities'].keys() def get_usable_bounding_boxes(nominal_boxes, cfg): FLICKR_PUBLIC = get_secret('flickr_api_key') FLICKR_SECRET = get_secret('flickr_api_secret') flickr = FlickrAPI(FLICKR_PUBLIC, FLICKR_SECRET, format='parsed-j...
from sklearn.cluster import MiniBatchKMeans import numpy as np import torch from models import TransformerModel, Seq2SeqTransformer, generate_square_subsequent_mask from models import LM_NAME, MLM_NAME, MT_NAME, NLAYERS, NUM2WORD import os from data_preprocessing import DATA_DIR_DEV, SAVE_DATA_MT_TRAIN from data_prepr...
from sklearn.cluster import MiniBatchKMeans import numpy as np import torch from models import TransformerModel, Seq2SeqTransformer, generate_square_subsequent_mask from models import LM_NAME, MLM_NAME, MT_NAME, NLAYERS, NUM2WORD import os from data_preprocessing import DATA_DIR_DEV, SAVE_DATA_MT_TRAIN from data_prepr...