'''simple docstring'''
import os


def 	_lowerCAmelCase (						_UpperCamelCase						:					List[Any] = "input.txt"    )				->      Tuple:
     """simple docstring"""




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

     _SCREAMING_SNAKE_CASE							   =len(A_    )
     _SCREAMING_SNAKE_CASE							   =len(matrix[0]    )

     _SCREAMING_SNAKE_CASE							   =[[-1 for _ in range(A_    )] for _ in range(A_    )]
     for i in range(A_    ):
          _SCREAMING_SNAKE_CASE							   =matrix[i][0]

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

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

          for i in range(rows - 2							,			-1							,			-1    ):
               _SCREAMING_SNAKE_CASE							   =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

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase			:				Optional[int] 			=					{
    "configuration_efficientnet": [
        "EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "EfficientNetConfig",
        "EfficientNetOnnxConfig",
    ]
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				str 			=					["EfficientNetImageProcessor"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				Tuple 			=					[
         "EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST",
         "EfficientNetForImageClassification",
         "EfficientNetModel",
         "EfficientNetPreTrainedModel",
     ]

if TYPE_CHECKING:
     from .configuration_efficientnet import (
         EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP,
         EfficientNetConfig,
         EfficientNetOnnxConfig,
     )

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .image_processing_efficientnet import EfficientNetImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_efficientnet import (
              EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
              EfficientNetForImageClassification,
              EfficientNetModel,
              EfficientNetPreTrainedModel,
          )

else:
     import sys

     lowerCamelCase			:				int 			=					_LazyModule(__name__, globals()["__file__"], _import_structure)
