"""simple docstring"""






class lowerCamelCase		:






					'''simple docstring'''


					def __init__(						self			:				Any		)							->       List[str]:
									SCREAMING_SNAKE_CASE__		  =				""
									SCREAMING_SNAKE_CASE__		  =				""
									SCREAMING_SNAKE_CASE__		  =				[]



					def 			lowerCAmelCase_					(						self			:				int   , _snake_case			:				int   , _snake_case			:				int		)							->       int:
									if m == -1:
													return n + 1
									elif n == -1:
													return m + 1
									elif self.dp[m][n] > -1:
													return self.dp[m][n]
									else:
													if self.worda[m] == self.worda[n]:
																	SCREAMING_SNAKE_CASE__		  =				self.__min_dist_top_down_dp(m - 1   , n - 1		)
													else:
																	SCREAMING_SNAKE_CASE__		  =				self.__min_dist_top_down_dp(_snake_case   , n - 1		)
																	SCREAMING_SNAKE_CASE__		  =				self.__min_dist_top_down_dp(m - 1   , _snake_case		)
																	SCREAMING_SNAKE_CASE__		  =				self.__min_dist_top_down_dp(m - 1   , n - 1		)
																	SCREAMING_SNAKE_CASE__		  =				1 + min(_snake_case   , _snake_case   , _snake_case		)

													return self.dp[m][n]



					def 			lowerCAmelCase_					(						self			:				Tuple   , _snake_case			:				str   , _snake_case			:				str		)							->       int:
									SCREAMING_SNAKE_CASE__		  =				worda
									SCREAMING_SNAKE_CASE__		  =				worda
									SCREAMING_SNAKE_CASE__		  =				[[-1 for _ in range(len(_snake_case		)		)] for _ in range(len(_snake_case		)		)]

									return self.__min_dist_top_down_dp(len(_snake_case		) - 1   , len(_snake_case		) - 1		)



					def 			lowerCAmelCase_					(						self			:				Dict   , _snake_case			:				str   , _snake_case			:				str		)							->       int:
									SCREAMING_SNAKE_CASE__		  =				worda
									SCREAMING_SNAKE_CASE__		  =				worda
									SCREAMING_SNAKE_CASE__		  =				len(_snake_case		)
									SCREAMING_SNAKE_CASE__		  =				len(_snake_case		)
									SCREAMING_SNAKE_CASE__		  =				[[0 for _ in range(n + 1		)] for _ in range(m + 1		)]

									for i in range(m + 1		):
													for j in range(n + 1		):
																	if i == 0:  # first string is empty
																					SCREAMING_SNAKE_CASE__		  =				j
																	elif j == 0:  # second string is empty
																					SCREAMING_SNAKE_CASE__		  =				i
																	elif worda[i - 1] == worda[j - 1]:  # last characters are equal
																					SCREAMING_SNAKE_CASE__		  =				self.dp[i - 1][j - 1]
																	else:
																					SCREAMING_SNAKE_CASE__		  =				self.dp[i][j - 1]
																					SCREAMING_SNAKE_CASE__		  =				self.dp[i - 1][j]
																					SCREAMING_SNAKE_CASE__		  =				self.dp[i - 1][j - 1]
																					SCREAMING_SNAKE_CASE__		  =				1 + min(_snake_case   , _snake_case   , _snake_case		)
									return self.dp[m][n]


if __name__ == "__main__":
						_A   					=    EditDistance()

						print('****************** Testing Edit Distance DP Algorithm ******************')
						print()

						_A   					=    input('Enter the first string: ').strip()
						_A   					=    input('Enter the second string: ').strip()

						print()
						print(F'The minimum edit distance is: {solver.min_dist_top_down(Sa, Sa)}')
						print(F'The minimum edit distance is: {solver.min_dist_bottom_up(Sa, Sa)}')
						print()
						print('*************** End of Testing Edit Distance DP Algorithm ***************')



"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_A   					=    {
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_A   					=    ['VisionEncoderDecoderModel']

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_A   					=    ['TFVisionEncoderDecoderModel']

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_A   					=    ['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
						from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
						import sys

						_A   					=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




