


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

from packaging import version


_snake_case	:						List[str]         =							{
    """<""": operator.lt,
    """<=""": operator.le,
    """==""": operator.eq,
    """!=""": operator.ne,
    """>=""": operator.ge,
    """>""": operator.gt,
}







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase      ):
							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(__lowerCamelCase      )				,      version.parse(__lowerCamelCase      )      ):
														raise ImportError(
														    F'{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}'      )







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase = None      ):
							__snake_case						:     str									=  F'\n{hint}' if hint is not None else """"""

							# non-versioned check
							if re.match(R"^[\w_\-\d]+$"				,      __lowerCamelCase      ):
														__snake_case						:     Tuple									=  requirement, None, None
							else:
														__snake_case						:     str									=  re.findall(R"^([^!=<>\s]+)([\s!=<>]{1,2}.+)"				,      __lowerCamelCase      )
														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}'      )
														__snake_case						:     Dict									=  match[0]
														__snake_case						:     List[str]									=  want_full.split(","      )  # there could be multiple requirements
														__snake_case						:     List[Any]									=  {}
														for w in want_range:
																					__snake_case						:     Dict									=  re.findall(R"^([\s!=<>]{1,2})(.+)"				,      __lowerCamelCase      )
																					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}'      )
																					__snake_case						:     List[Any]									=  match[0]
																					__snake_case						:     Any									=  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":
														__snake_case						:     Optional[Any]									=  """.""".join([str(__lowerCamelCase      ) for x in sys.version_info[:3]]      )
														for op, want_ver in wanted.items():
																					_compare_versions(__lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase      )
														return

							# check if any version is installed
							try:
														__snake_case						:     Tuple									=  importlib.metadata.version(__lowerCamelCase      )
							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(__lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase      )







def 							lowerCAmelCase_	(   __lowerCamelCase      ):
							__snake_case						:     Any									=  """Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main"""
							return require_version(__lowerCamelCase				,      __lowerCamelCase      )








"""simple docstring"""


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

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


__magic_name__       :					Dict						=			logging.getLogger(__name__)






@dataclass
class 							lowercase__			(   __SCREAMING_SNAKE_CASE	):

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



