


'''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 typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
		from PIL import Image




class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     Tuple					=   "Salesforce/blip-image-captioning-base"
							lowercase__    :     List[Any]					=   (
							    "This is a tool that generates a description of an image. It takes an input named `image` which should be the "
							    "image to caption, and returns a text that contains the description in English."
							)
							lowercase__    :     List[str]					=   "image_captioner"
							lowercase__    :     Optional[int]					=   AutoModelForVisionaSeq

							lowercase__    :     Union[str, Any]					=   ["image"]
							lowercase__    :     Optional[int]					=   ["text"]







							def __init__(	self      ,					*lowerCamelCase_      ,					**lowerCamelCase_     ) ->							Dict:
														requires_backends(self      ,					['''vision''']     )
														super().__init__(*lowerCamelCase_      ,					**lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							Any:
														return self.pre_processor(images=lowerCamelCase_      ,					return_tensors='''pt'''     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							Optional[Any]:
														return self.model.generate(**lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							Dict:
														return self.pre_processor.batch_decode(lowerCamelCase_      ,					skip_special_tokens=lowerCamelCase_     )[0].strip()



'''simple docstring'''






def       _snake_case     (  A				,					A )		->					bool:
							lowerCAmelCase__      =			len(A ) + 1
							lowerCAmelCase__      =			len(A ) + 1

							# dp is a 2d matrix where dp[i][j] denotes whether prefix string of
							# length i of input_string matches with prefix string of length j of
							# given pattern.
							# "dp" stands for dynamic programming.
							lowerCAmelCase__      =			[[0 for i in range(A )] for j in range(A )]

							# since string of zero length match pattern of zero length
							lowerCAmelCase__      =			1

							# since pattern of zero length will never match with string of non-zero length
							for i in range(1				,					A ):
														lowerCAmelCase__      =			0

							# since string of zero length will match with pattern where there
							# is at least one * alternatively
							for j in range(1				,					A ):
														lowerCAmelCase__      =			dp[0][j - 2] if pattern[j - 1] == '''*''' else 0

							# now using bottom-up approach to find for all remaining lengths
							for i in range(1				,					A ):
														for j in range(1				,					A ):
																					if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
																												lowerCAmelCase__      =			dp[i - 1][j - 1]

																					elif pattern[j - 1] == "*":
																												if dp[i][j - 2] == 1:
																																			lowerCAmelCase__      =			1
																												elif pattern[j - 2] in (input_string[i - 1], "."):
																																			lowerCAmelCase__      =			dp[i - 1][j]
																												else:
																																			lowerCAmelCase__      =			0
																					else:
																												lowerCAmelCase__      =			0

							return bool(dp[-1][-1] )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		# inputing the strings
		# input_string = input("input a string :")
		# pattern = input("input a pattern :")

		__UpperCAmelCase					       =							'''aab'''
		__UpperCAmelCase					       =							'''c*a*b'''

		# using function to check whether given string matches the given pattern
		if match_pattern(input_string, pattern):
				print(f"""{input_string} matches the given pattern {pattern}""")
		else:
				print(f"""{input_string} does not match with the given pattern {pattern}""")