


# Copyright 2023 The HuggingFace 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/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A				:       List[str]      =  {
    'configuration_vivit': ['VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VivitConfig'],
}
try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A				:       List[Any]      =  ['VivitImageProcessor']


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A				:       Tuple      =  [
	    'VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'VivitModel',
	    'VivitPreTrainedModel',
	    'VivitForVideoClassification',
	]


if TYPE_CHECKING:
	from .configuration_vivit import VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, VivitConfig

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_vivit import VivitImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_vivit import (
		    VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    VivitForVideoClassification,
		    VivitModel,
		    VivitPreTrainedModel,
		)


else:
	import sys

	A				:       Any      =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)









import requests
from bsa import BeautifulSoup





def 						_lowerCAmelCase							(     _lowerCAmelCase = "AAPL"			)    ->						str:


						'''simple docstring'''






						__snake_case				=		F'''https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'''
						__snake_case				=		BeautifulSoup(requests.get(_lowerCAmelCase			).text   ,						"html.parser"			)
						__snake_case				=		"My(6px) Pos(r) smartphone_Mt(6px)"
						return soup.find("div"   ,						class_=class_			).find("span"			).text


if __name__ == "__main__":
	for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
		print(f'''Current {symbol:<4} stock price is {stock_price(symbol):>8}''')





