





'''simple docstring'''


import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


_SCREAMING_SNAKE_CASE	 =   logging.getLogger(__name__)

@dataclass
class    lowerCAmelCase_		(		lowercase_		):
 __lowerCamelCase						:							Tuple         =					field(
     default=0.0						,metadata={"help": "The label smoothing epsilon to apply (if not zero)."}		)
 __lowerCamelCase						:							str         =					field(default=lowercase_						,metadata={"help": "Whether to SortishSamler or not."}		)
 __lowerCamelCase						:							Optional[Any]         =					field(
     default=lowercase_						,metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}		)
 __lowerCamelCase						:							Optional[int]         =					field(default=lowercase_						,metadata={"help": "whether to use adafactor"}		)
 __lowerCamelCase						:							Optional[int]         =					field(
     default=lowercase_						,metadata={"help": "Encoder layer dropout probability. Goes into model.config."}		)
 __lowerCamelCase						:							int         =					field(
     default=lowercase_						,metadata={"help": "Decoder layer dropout probability. Goes into model.config."}		)
 __lowerCamelCase						:							List[Any]         =					field(default=lowercase_						,metadata={"help": "Dropout probability. Goes into model.config."}		)
 __lowerCamelCase						:							str         =					field(
     default=lowercase_						,metadata={"help": "Attention dropout probability. Goes into model.config."}		)
 __lowerCamelCase						:							Optional[int]         =					field(
     default="linear"						,metadata={"help": f'Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()		)}'}						,)









'''simple docstring'''


def 	__a(SCREAMING_SNAKE_CASE_  :					list[int]		,       SCREAMING_SNAKE_CASE_  :					list[int]		,       SCREAMING_SNAKE_CASE_  :					int    ):



    '''simple docstring'''





    return not any(
        neighbour == 1 and colored_vertices[i] == color
        for i, neighbour in enumerate(SCREAMING_SNAKE_CASE_    )    )


def 	__a(SCREAMING_SNAKE_CASE_  :					list[list[int]]		,       SCREAMING_SNAKE_CASE_  :					int		,       SCREAMING_SNAKE_CASE_  :					list[int]		,       SCREAMING_SNAKE_CASE_  :					int    ):



    '''simple docstring'''





    if index == len(SCREAMING_SNAKE_CASE_    ):
        return True

    # Recursive Step
    for i in range(SCREAMING_SNAKE_CASE_    ):
        if valid_coloring(graph[index]		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_    ):
            # Color current vertex
            _lowerCAmelCase				=      i
            # Validate coloring
            if util_color(SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       index + 1    ):
                return True
            # Backtrack
            _lowerCAmelCase				=      -1
    return False





def 	__a(SCREAMING_SNAKE_CASE_  :					list[list[int]]		,       SCREAMING_SNAKE_CASE_  :					int    ):



    '''simple docstring'''





    _lowerCAmelCase				=      [-1] * len(SCREAMING_SNAKE_CASE_    )

    if util_color(SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       0    ):
        return colored_vertices

    return []


