



'''simple docstring'''




# Copyright 2023 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/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 ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool






class 						_UpperCamelCase  (							lowerCamelCase__    ):


			'''simple docstring'''

			_A      :		int			    =		'''philschmid/bart-large-cnn-samsum'''
			_A      :		Optional[int]			    =		(
			    '''This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, '''
			    '''and returns a summary of the text.'''
			)
			_A      :		List[Any]			    =		'''summarizer'''
			_A      :		Union[str, Any]			    =		AutoTokenizer
			_A      :		Optional[int]			    =		AutoModelForSeqaSeqLM

			_A      :		Any			    =		['''text''']
			_A      :		int			    =		['''text''']

			def UpperCamelCase__					(							self     : str							,     lowerCAmelCase__     : Tuple						):





					"""simple docstring"""






					return self.pre_processor(lowerCAmelCase__							,     return_tensors="""pt"""							,     truncation=lowerCAmelCase__						)

			def UpperCamelCase__					(							self     : Optional[int]							,     lowerCAmelCase__     : str						):





					"""simple docstring"""






					return self.model.generate(**lowerCAmelCase__						)[0]



			def UpperCamelCase__					(							self     : str							,     lowerCAmelCase__     : List[str]						):





					"""simple docstring"""






					return self.pre_processor.decode(lowerCAmelCase__							,     skip_special_tokens=lowerCAmelCase__							,     clean_up_tokenization_spaces=lowerCAmelCase__						)




'''simple docstring'''




import string


def 				lowerCAmelCase_   (	_lowerCamelCase:   str					):
		__SCREAMING_SNAKE_CASE       :		Dict           =		""""""
		for i in sequence:
				__SCREAMING_SNAKE_CASE       :		Any           =		ord(_lowerCamelCase					)
				if 65 <= extract <= 90:
						output += chr(1_55 - extract					)
				elif 97 <= extract <= 1_22:
						output += chr(2_19 - extract					)
				else:
						output += i
		return output


def 				lowerCAmelCase_   (	_lowerCamelCase:   str					):
		__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		string.ascii_letters
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
		return "".join(
		    letters_reversed[letters.index(_lowerCamelCase					)] if c in letters else c for c in sequence					)


def 				lowerCAmelCase_   (	):
		from timeit import timeit

		print("""Running performance benchmarks..."""					)
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		"""from string import printable ; from __main__ import atbash, atbash_slow"""
		print(F"> atbash_slow(): {timeit('atbash_slow(printable)'       ,      setup=_lowerCamelCase					)} seconds"					)
		print(F">      atbash(): {timeit('atbash(printable)'       ,      setup=_lowerCamelCase					)} seconds"					)


if __name__ == "__main__":
						for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
												print(f"{example} encrypted in atbash: {atbash(example)}")
						benchmark()