





import os
def 							UpperCAmelCase_  (						__lowerCamelCase : str = "matrix.txt"			):
   with open(os.path.join(os.path.dirname(__lowerCamelCase			)     ,__lowerCamelCase			)			) as in_file:
      lowercase_      :List[Any]         =			in_file.read()

   lowercase_      :str         =			[[int(__lowerCamelCase			) for cell in row.split(","			)] for row in data.strip().splitlines()]
   lowercase_      :Optional[int]         =			[[0 for cell in row] for row in grid]
   lowercase_      :Optional[int]         =			len(grid[0]			)

   lowercase_      :Tuple         =			[[0 for i in range(__lowerCamelCase			)] for j in range(__lowerCamelCase			)]
   lowercase_      :Union[str, Any]         =			grid[0][0]
   for i in range(1     ,__lowerCamelCase			):
      lowercase_      :Optional[int]         =			grid[0][i] + dp[0][i - 1]
   for i in range(1     ,__lowerCamelCase			):
      lowercase_      :List[str]         =			grid[i][0] + dp[i - 1][0]

   for i in range(1     ,__lowerCamelCase			):
      for j in range(1     ,__lowerCamelCase			):
         lowercase_      :Any         =			grid[i][j] + min(dp[i - 1][j]     ,dp[i][j - 1]			)

   return dp[-1][-1]


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


lowerCAmelCase :					Dict 							={
    '''configuration_xmod''': [
        '''XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XmodConfig''',
        '''XmodOnnxConfig''',
    ],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase :					Union[str, Any] 							=[
     '''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

 lowerCAmelCase :					Optional[Any] 							=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


