




'''simple docstring'''



import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


UpperCamelCase_    	=				{
    "<": operator.lt,
    "<=": operator.le,
    "==": operator.eq,
    "!=": operator.ne,
    ">=": operator.ge,
    ">": operator.gt,
}




def   lowercase__(			__UpperCamelCase:					Optional[Any]      ,__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					int      ,__UpperCamelCase:					Any      ,__UpperCamelCase:					str      ,__UpperCamelCase:					int    ):

      """simple docstring"""






      if got_ver is None or want_ver is None:
            raise ValueError(
                f"Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider"
                f" reinstalling {pkg}."    )
      if not ops[op](version.parse(__UpperCamelCase    )      ,version.parse(__UpperCamelCase    )    ):
            raise ImportError(
                f"{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}"    )




def   lowercase__(			__UpperCamelCase:					str      ,__UpperCamelCase:					Optional[str] = None    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      List[str]    					=						f"\n{hint}" if hint is not None else ''

      # non-versioned check
      if re.match(r'^[\w_\-\d]+$'      ,__UpperCamelCase    ):
            SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE   :      Any    					=						requirement, None, None
      else:
            SCREAMING_SNAKE_CASE   :      List[Any]    					=						re.findall(r'^([^!=<>\s]+)([\s!=<>]{1,2}.+)'      ,__UpperCamelCase    )
            if not match:
                  raise ValueError(
                      'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but'
                      f" got {requirement}"    )
            SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE   :      Tuple    					=						match[0]
            SCREAMING_SNAKE_CASE   :      Optional[int]    					=						want_full.split(','    )  # there could be multiple requirements
            SCREAMING_SNAKE_CASE   :      List[str]    					=						{}
            for w in want_range:
                  SCREAMING_SNAKE_CASE   :      List[Any]    					=						re.findall(r'^([\s!=<>]{1,2})(.+)'      ,__UpperCamelCase    )
                  if not match:
                        raise ValueError(
                            'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,'
                            f" but got {requirement}"    )
                  SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE   :      Optional[int]    					=						match[0]
                  SCREAMING_SNAKE_CASE   :      Optional[int]    					=						want_ver
                  if op not in ops:
                        raise ValueError(f"{requirement}: need one of {list(ops.keys()    )}, but got {op}"    )

    # special case
      if pkg == "python":
            SCREAMING_SNAKE_CASE   :      Dict    					=						'.'.join([str(__UpperCamelCase    ) for x in sys.version_info[:3]]    )
            for op, want_ver in wanted.items():
                  _compare_versions(__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase    )
            return

      # check if any version is installed
      try:
            SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						importlib.metadata.version(__UpperCamelCase    )
      except importlib.metadata.PackageNotFoundError:
            raise importlib.metadata.PackageNotFoundError(
                f"The '{requirement}' distribution was not found and is required by this application. {hint}"    )

      # check that the right version is installed if version number or a range was provided
      if want_ver is not None:
            for op, want_ver in wanted.items():
                  _compare_versions(__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase      ,__UpperCamelCase    )





def   lowercase__(			__UpperCamelCase:					List[Any]    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Tuple    					=						'Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'
      return require_version(__UpperCamelCase      ,__UpperCamelCase    )





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


__A			:					Optional[Any]						=			logging.getLogger(__name__)





@dataclass
@add_start_docstrings(TrainingArguments.__doc__		)
class 			_SCREAMING_SNAKE_CASE (   __snake_case		):







   '''simple docstring'''




   lowerCamelCase__				=      field(default=__snake_case					,       metadata={"help": "Whether to use SortishSampler or not."}		)
   lowerCamelCase__				=      field(
       default=__snake_case					,       metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}		)
   lowerCamelCase__				=      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."
           )
       }					,       )
   lowerCamelCase__				=      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."
           )
       }					,       )
   lowerCamelCase__				=      field(
       default=__snake_case					,       metadata={
           "help": "Model id, file path or url pointing to a GenerationConfig json file, to use during prediction."
       }					,       )





   def      _snake_case		(       self					:			Union[str, Any]			):
       SCREAMING_SNAKE_CASE										=   super().to_dict()
       for k, v in d.items():
           if isinstance(__lowerCamelCase     , __lowerCamelCase			):
               SCREAMING_SNAKE_CASE										=   v.to_dict()
       return d