



from .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


lowerCAmelCase__		:					Any							=logging.get_logger(__name__)

class        UpperCAmelCase_  :

						'''simple docstring'''




						UpperCamelCase__      :			str
						UpperCamelCase__      :			str      =  None






						@staticmethod
						def 	_A     (   ):







													'''simple docstring'''

													raise NotImplementedError






						def 	_A     (   self				,							_A				,							_A				,							_A				,							**_A		):







													'''simple docstring'''

													raise NotImplementedError






						def 	_A     (   self				,							_A		):







													'''simple docstring'''

													raise NotImplementedError






						def 	_A     (   self		):







													'''simple docstring'''

													if not self.is_available():
																				raise RuntimeError(
																				    f"""You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}."""		)






						@classmethod
						def 	_A     (   cls		):







													'''simple docstring'''

													return f"""`pip install {cls.pip_package or cls.name}`"""







class        UpperCAmelCase_  (       UpperCamelCase_	):

						'''simple docstring'''




						UpperCamelCase__      :			Optional[int]      =  '''optuna'''






						@staticmethod
						def 	_A     (   ):







													'''simple docstring'''

													return is_optuna_available()






						def 	_A     (   self				,							_A				,							_A				,							_A				,							**_A		):







													'''simple docstring'''

													return run_hp_search_optuna(_A				,							_A				,							_A				,							**_A		)






						def 	_A     (   self				,							_A		):







													'''simple docstring'''

													return default_hp_space_optuna(_A		)







class        UpperCAmelCase_  (       UpperCamelCase_	):

						'''simple docstring'''




						UpperCamelCase__      :			List[str]      =  '''ray'''
						UpperCamelCase__      :			str      =  '''\'ray[tune]\''''






						@staticmethod
						def 	_A     (   ):







													'''simple docstring'''

													return is_ray_available()






						def 	_A     (   self				,							_A				,							_A				,							_A				,							**_A		):







													'''simple docstring'''

													return run_hp_search_ray(_A				,							_A				,							_A				,							**_A		)






						def 	_A     (   self				,							_A		):







													'''simple docstring'''

													return default_hp_space_ray(_A		)







class        UpperCAmelCase_  (       UpperCamelCase_	):

						'''simple docstring'''




						UpperCamelCase__      :			Any      =  '''sigopt'''






						@staticmethod
						def 	_A     (   ):







													'''simple docstring'''

													return is_sigopt_available()






						def 	_A     (   self				,							_A				,							_A				,							_A				,							**_A		):







													'''simple docstring'''

													return run_hp_search_sigopt(_A				,							_A				,							_A				,							**_A		)






						def 	_A     (   self				,							_A		):







													'''simple docstring'''

													return default_hp_space_sigopt(_A		)







class        UpperCAmelCase_  (       UpperCamelCase_	):

						'''simple docstring'''




						UpperCamelCase__      :			Union[str, Any]      =  '''wandb'''






						@staticmethod
						def 	_A     (   ):







													'''simple docstring'''

													return is_wandb_available()






						def 	_A     (   self				,							_A				,							_A				,							_A				,							**_A		):







													'''simple docstring'''

													return run_hp_search_wandb(_A				,							_A				,							_A				,							**_A		)






						def 	_A     (   self				,							_A		):







													'''simple docstring'''

													return default_hp_space_wandb(_A		)







lowerCAmelCase__		:					Optional[Any]							={
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}






def      __lowercase       (			)    ->			str:
							__SCREAMING_SNAKE_CASE									= [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
							if len(a__       ) > 0:
														__SCREAMING_SNAKE_CASE									= available_backends[0].name
														if len(a__       ) > 1:
																					logger.info(
																					    f"""{len(a__       )} hyperparameter search backends available. Using {name} as the default."""       )
														return name
							raise RuntimeError(
							    'No hyperparameter search backend available.\n'
							    + '\n'.join(
							        f""" - To install {backend.name} run {backend.pip_install()}"""
							        for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()       )       )











import os






def      __lowercase       (			a__ = "input.txt"       )    ->			int:

							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() = }''')






