


"""simple docstring"""




from __future__ import annotations

def        lowercase							(		lowerCAmelCase__ :     list[list[int]]			) ->      int:

		# preprocessing the first row
		for i in range(1    ,					len(matrix[0]			)			):
				matrix[0][i] += matrix[0][i - 1]

		# preprocessing the first column
		for i in range(1    ,					len(lowerCAmelCase__			)			):
				matrix[i][0] += matrix[i - 1][0]

		# updating the path cost for current position
		for i in range(1    ,					len(lowerCAmelCase__			)			):
				for j in range(1    ,					len(matrix[0]			)			):
						matrix[i][j] += min(matrix[i - 1][j]    ,					matrix[i][j - 1]			)

		return matrix[-1][-1]


if __name__ == "__main__":
				import doctest

				doctest.testmod()










"""simple docstring"""




from typing import TYPE_CHECKING

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


lowercase_			     =  {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP", "UniSpeechConfig"]}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_			     =  [
				    "UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "UniSpeechForCTC",
				    "UniSpeechForPreTraining",
				    "UniSpeechForSequenceClassification",
				    "UniSpeechModel",
				    "UniSpeechPreTrainedModel",
				]

if TYPE_CHECKING:
				from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_unispeech import (
								    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
								    UniSpeechForCTC,
								    UniSpeechForPreTraining,
								    UniSpeechForSequenceClassification,
								    UniSpeechModel,
								    UniSpeechPreTrainedModel,
								)

else:
				import sys

				lowercase_			     =  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






