





"""simple docstring"""







import itertools
import os
import re


a__      :	Optional[int]       				=      re.compile(r"""([A-Z]+)([A-Z][a-z])""")
a__      :	Tuple       				=      re.compile(r"""([a-z\d])([A-Z])""")

a__      :	Tuple       				=      re.compile(r"""(?<!_)_(?!_)""")
a__      :	Optional[Any]       				=      re.compile(r"""(_{2,})""")

a__      :	int       				=      r"""^\w+(\.\w+)*$"""

a__      :	List[Any]       				=      r"""<>:/\|?*"""







def     A__			(       __lowerCamelCase					):





  """simple docstring"""
  _lowerCAmelCase	      =					_uppercase_uppercase_re.sub(R'\1_\2',		_snake_case					)
  _lowerCAmelCase	      =					_lowercase_uppercase_re.sub(R'\1_\2',		_snake_case					)
  return name.lower()







def     A__			(       __lowerCamelCase					):





  """simple docstring"""
  _lowerCAmelCase	      =					_single_underscore_re.split(_snake_case					)
  _lowerCAmelCase	      =					[_multiple_underscores_re.split(_snake_case					) for n in name]
  return "".join(n.capitalize() for n in itertools.chain.from_iterable(_snake_case					) if n != ''					)







def     A__			(       __lowerCamelCase					):





  """simple docstring"""


  if os.path.basename(_snake_case					) != name:
    raise ValueError(F'''Should be a dataset name, not a path: {name}'''					)
  return camelcase_to_snakecase(_snake_case					)







def     A__			(       __lowerCamelCase,		__lowerCamelCase					):





  """simple docstring"""


  if os.path.basename(_snake_case					) != name:
    raise ValueError(F'''Should be a dataset name, not a path: {name}'''					)
  if not re.match(_split_re,		_snake_case					):
    raise ValueError(F'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''					)
  return F'''{filename_prefix_for_name(_snake_case					)}-{split}'''







def     A__			(       __lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase=None					):





  """simple docstring"""
  _lowerCAmelCase	      =					filename_prefix_for_split(_snake_case,		_snake_case					)
  if filetype_suffix:
    prefix += F'''.{filetype_suffix}'''
  _lowerCAmelCase	      =					os.path.join(_snake_case,		_snake_case					)
  return F'''{filepath}*'''







def     A__			(       __lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase=None,		__lowerCamelCase=None					):





  """simple docstring"""
  _lowerCAmelCase	      =					filename_prefix_for_split(_snake_case,		_snake_case					)
  _lowerCAmelCase	      =					os.path.join(_snake_case,		_snake_case					)

  if shard_lengths:
    _lowerCAmelCase	      =					len(_snake_case					)
    _lowerCAmelCase	      =					[F'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(_snake_case					)]
    if filetype_suffix:
      _lowerCAmelCase	      =					[filename + F'''.{filetype_suffix}''' for filename in filenames]
    return filenames
  else:
    _lowerCAmelCase	      =					prefix
    if filetype_suffix:
      filename += F'''.{filetype_suffix}'''
    return [filename]









"""simple docstring"""

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

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


a							      =     logging.getLogger(__name__)





@dataclass
class 							lowercase_			(	__lowerCAmelCase				):



 '''simple docstring'''
 UpperCAmelCase       :	Optional[float]     =      field(
     default=0.0     ,      metadata={'''help''': '''The label smoothing epsilon to apply (if not zero).'''}				)
 UpperCAmelCase       :	bool     =      field(default=__lowerCAmelCase     ,      metadata={'''help''': '''Whether to SortishSamler or not.'''}				)
 UpperCAmelCase       :	bool     =      field(
     default=__lowerCAmelCase     ,      metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}				)
 UpperCAmelCase       :	bool     =      field(default=__lowerCAmelCase     ,      metadata={'''help''': '''whether to use adafactor'''}				)
 UpperCAmelCase       :	Optional[float]     =      field(
     default=__lowerCAmelCase     ,      metadata={'''help''': '''Encoder layer dropout probability. Goes into model.config.'''}				)
 UpperCAmelCase       :	Optional[float]     =      field(
     default=__lowerCAmelCase     ,      metadata={'''help''': '''Decoder layer dropout probability. Goes into model.config.'''}				)
 UpperCAmelCase       :	Optional[float]     =      field(default=__lowerCAmelCase     ,      metadata={'''help''': '''Dropout probability. Goes into model.config.'''}				)
 UpperCAmelCase       :	Optional[float]     =      field(
     default=__lowerCAmelCase     ,      metadata={'''help''': '''Attention dropout probability. Goes into model.config.'''}				)
 UpperCAmelCase       :	Optional[str]     =      field(
     default='''linear'''     ,      metadata={'''help''': f'''Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()				)}'''}     ,      )

