


'''simple docstring'''



import os


def    lowerCamelCase__   ( A     :    str = "input.txt"  ):




						'''simple docstring'''






						with open(os.path.join(os.path.dirname(A  )   ,     A  )  ) as input_file:
												UpperCAmelCase         =			[
												    [int(A  ) for element in line.split(''','''  )]
												    for line in input_file.readlines()
												]

						UpperCAmelCase         =			len(A  )
						UpperCAmelCase         =			len(matrix[0]  )

						UpperCAmelCase         =			[[-1 for _ in range(A  )] for _ in range(A  )]
						for i in range(A  ):
												UpperCAmelCase         =			matrix[i][0]

						for j in range(1   ,     A  ):
												for i in range(A  ):
																		UpperCAmelCase         =			minimal_path_sums[i][j - 1] + matrix[i][j]

												for i in range(1   ,     A  ):
																		UpperCAmelCase         =			min(
																		    minimal_path_sums[i][j]   ,     minimal_path_sums[i - 1][j] + matrix[i][j]  )

												for i in range(rows - 2   ,     -1   ,     -1  ):
																		UpperCAmelCase         =			min(
																		    minimal_path_sums[i][j]   ,     minimal_path_sums[i + 1][j] + matrix[i][j]  )

						return min(minimal_path_sums_row[-1] for minimal_path_sums_row in minimal_path_sums  )


if __name__ == "__main__":
	print(F"""{solution() = }""")







'''simple docstring'''



# 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

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase    :    int			     =  {
    """configuration_xmod""": [
        """XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """XmodConfig""",
        """XmodOnnxConfig""",
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase    :    str			     =  [
	    """XMOD_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """XmodForCausalLM""",
	    """XmodForMaskedLM""",
	    """XmodForMultipleChoice""",
	    """XmodForQuestionAnswering""",
	    """XmodForSequenceClassification""",
	    """XmodForTokenClassification""",
	    """XmodModel""",
	    """XmodPreTrainedModel""",
	]

if TYPE_CHECKING:
	from .configuration_xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig, XmodOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_xmod import (
		    XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
		    XmodForCausalLM,
		    XmodForMaskedLM,
		    XmodForMultipleChoice,
		    XmodForQuestionAnswering,
		    XmodForSequenceClassification,
		    XmodForTokenClassification,
		    XmodModel,
		    XmodPreTrainedModel,
		)

else:
	import sys

	_lowercase    :    List[Any]			     =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





