


'''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


lowerCamelCase							:   Dict  						=	logging.getLogger(__name__)
@dataclass
@add_start_docstrings(TrainingArguments.__doc__     )
class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      lowerCAmelCase__					:     bool  					=							field(default=lowercase_  ,     metadata={"""help""": """Whether to use SortishSampler or not."""}     )
      lowerCAmelCase__					:     bool  					=							field(
          default=lowercase_  ,     metadata={"""help""": """Whether to use generate to calculate generative metrics (ROUGE, BLEU)."""}     )
      lowerCAmelCase__					:     Optional[int]  					=							field(
          default=lowercase_  ,     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."""
              )
          }  ,     )
      lowerCAmelCase__					:     Optional[int]  					=							field(
          default=lowercase_  ,     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."""
              )
          }  ,     )
      lowerCAmelCase__					:     Optional[Union[str, Path, GenerationConfig]]  					=							field(
          default=lowercase_  ,     metadata={
              """help""": """Model id, file path or url pointing to a GenerationConfig json file, to use during prediction."""
          }  ,     )



      def       UpperCamelCase__		(self    :    Dict ):

             '''simple docstring'''







             lowercase__      			= super().to_dict()
             for k, v in d.items():
                    if isinstance(UpperCamelCase   ,						UpperCamelCase ):
                           lowercase__      			= v.to_dict()
             return d








'''simple docstring'''

class   __lowerCAmelCase						:  # Public class to implement a graph





      '''simple docstring'''






      def __init__(self    :    int   ,						UpperCamelCase    :    int   ,						UpperCamelCase    :    int   ,						UpperCamelCase    :    list[list[bool]] ):

             '''simple docstring'''







             lowercase__      			= row
             lowercase__      			= col
             lowercase__      			= graph



      def       UpperCamelCase__		(self    :    Optional[int]   ,						UpperCamelCase    :    int   ,						UpperCamelCase    :    int   ,						UpperCamelCase    :    list[list[bool]] ):

             '''simple docstring'''







             return (
                 0 <= i < self.ROW
                 and 0 <= j < self.COL
                 and not visited[i][j]
                 and self.graph[i][j]
             )



      def       UpperCamelCase__		(self    :    int   ,						UpperCamelCase    :    int   ,						UpperCamelCase    :    int   ,						UpperCamelCase    :    list[list[bool]] ):

             '''simple docstring'''







             lowercase__      			= [-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
             lowercase__      			= [-1, 0, 1, -1, 1, -1, 0, 1]
             lowercase__      			= True  # Make those cells visited
             for k in range(8 ):
                    if self.is_safe(i + row_nbr[k]   ,						j + col_nbr[k]   ,						UpperCamelCase ):
                           self.diffs(i + row_nbr[k]   ,						j + col_nbr[k]   ,						UpperCamelCase )






      def       UpperCamelCase__		(self    :    Dict ):  # And finally, count all islands.

             '''simple docstring'''







             lowercase__      			= [[False for j in range(self.COL )] for i in range(self.ROW )]
             lowercase__      			= 0
             for i in range(self.ROW ):
                    for j in range(self.COL ):
                           if visited[i][j] is False and self.graph[i][j] == 1:
                                  self.diffs(UpperCamelCase   ,						UpperCamelCase   ,						UpperCamelCase )
                                  count += 1
             return count




