


import os
def  UpperCamelCase__	(    SCREAMING_SNAKE_CASE__ = "input.txt"		):

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

 __lowerCamelCase						:				int						   =		len(SCREAMING_SNAKE_CASE__		)
 __lowerCamelCase						:				Any						   =		len(matrix[0]		)

 __lowerCamelCase						:				List[Any]						   =		[[-1 for _ in range(SCREAMING_SNAKE_CASE__		)] for _ in range(SCREAMING_SNAKE_CASE__		)]
 for i in range(SCREAMING_SNAKE_CASE__		):
  __lowerCamelCase						:				Union[str, Any]						   =		matrix[i][0]

 for j in range(1     ,			SCREAMING_SNAKE_CASE__		):
  for i in range(SCREAMING_SNAKE_CASE__		):
   __lowerCamelCase						:				str						   =		minimal_path_sums[i][j - 1] + matrix[i][j]

  for i in range(1     ,			SCREAMING_SNAKE_CASE__		):
   __lowerCamelCase						:				Optional[Any]						   =		min(
       minimal_path_sums[i][j]     ,			minimal_path_sums[i - 1][j] + matrix[i][j]		)

  for i in range(rows - 2     ,			-1     ,			-1		):
   __lowerCamelCase						:				Optional[int]						   =		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() = }""")


import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand
def 		snake_case__	(		lowercase					):
   return EnvironmentCommand()







class 					_lowercase    (     UpperCAmelCase__			):






    '''simple docstring'''




    @staticmethod
    def      _a    (    lowerCamelCase__ ):
       lowerCAmelCase_:							Tuple       =	parser.add_parser("env" )
       download_parser.set_defaults(func=lowerCamelCase__ )




    def      _a    (    self ):
       lowerCAmelCase_:							int       =	huggingface_hub.__version__

       lowerCAmelCase_:							List[str]       =	"not installed"
       lowerCAmelCase_:							Dict       =	"NA"
       if is_torch_available():
          import torch

          lowerCAmelCase_:							List[str]       =	torch.__version__
          lowerCAmelCase_:							int       =	torch.cuda.is_available()

       lowerCAmelCase_:							Tuple       =	"not installed"
       if is_transformers_available():
          import transformers

          lowerCAmelCase_:							Tuple       =	transformers.__version__

       lowerCAmelCase_:							Optional[int]       =	"not installed"
       if is_accelerate_available():
          import accelerate

          lowerCAmelCase_:							List[Any]       =	accelerate.__version__

       lowerCAmelCase_:							Dict       =	"not installed"
       if is_xformers_available():
          import xformers

          lowerCAmelCase_:							Dict       =	xformers.__version__

       lowerCAmelCase_:							Union[str, Any]       =	{
           "`diffusers` version": version,
           "Platform": platform.platform(),
           "Python version": platform.python_version(),
           "PyTorch version (GPU?)": F'''{pt_version} ({pt_cuda_available})''',
           "Huggingface_hub version": hub_version,
           "Transformers version": transformers_version,
           "Accelerate version": accelerate_version,
           "xFormers version": xformers_version,
           "Using GPU in script?": "<fill in>",
           "Using distributed or parallel set-up in script?": "<fill in>",
       }

       print("\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n" )
       print(self.format_dict(lowerCamelCase__ ) )

       return info




    @staticmethod
    def      _a    (    lowerCamelCase__ ):
       return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()] ) + "\n"