


"""simple docstring"""



import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


__snake_case   			=    logging.getLogger(__name__)







@dataclass
@add_start_docstrings(TrainingArguments.__doc__	)
class _lowerCAmelCase				(      snake_case_	):
   __UpperCAmelCase :       bool							  =  field(default=snake_case_    ,							metadata={'''help''': '''Whether to use SortishSampler or not.'''}	)
   __UpperCAmelCase :       bool							  =  field(
       default=snake_case_    ,							metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}	)
   __UpperCAmelCase :       Optional[int]							  =  field(
       default=snake_case_    ,							metadata={
           '''help''': (
               '''The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
               '''to the `max_length` value of the model configuration.'''
           )
       }    ,							)
   __UpperCAmelCase :       Optional[int]							  =  field(
       default=snake_case_    ,							metadata={
           '''help''': (
               '''The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
               '''to the `num_beams` value of the model configuration.'''
           )
       }    ,							)
   __UpperCAmelCase :       Optional[Union[str, Path, GenerationConfig]]							  =  field(
       default=snake_case_    ,							metadata={
           '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
       }    ,							)







   def  lowerCamelCase		(	self						)	->		int:

       '''simple docstring'''




       snake_case    :      Any      					=    super().to_dict()
       for k, v in d.items():
           if isinstance(UpperCamelCase__						,	UpperCamelCase__						):
               snake_case    :      Dict      					=    v.to_dict()
       return d









"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  list )	->						int:


    """simple docstring"""





    if not grid or not grid[0]:
        raise TypeError("The grid does not contain the appropriate information" )

    for cell_n in range(1						,							len(grid[0] ) ):
        grid[0][cell_n] += grid[0][cell_n - 1]
    snake_case    :      int      					=    grid[0]

    for row_n in range(1						,							len(lowercase ) ):
        snake_case    :      Optional[Any]      					=    grid[row_n]
        snake_case    :      List[str]      					=    fill_row(lowercase						,							lowercase )
        snake_case    :      Optional[int]      					=    grid[row_n]

    return grid[-1][-1]







def   __lowerCAmelCase						(						lowercase  :  list						,							lowercase  :  list )	->						list:


    """simple docstring"""





    current_row[0] += row_above[0]
    for cell_n in range(1						,							len(lowercase ) ):
        current_row[cell_n] += min(current_row[cell_n - 1]						,							row_above[cell_n] )

    return current_row


if __name__ == "__main__":
  import doctest

  doctest.testmod()





