import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE





class      A							(				UpperCAmelCase_     ):
   __UpperCAmelCase : Optional[Any]      =			''
   __UpperCAmelCase : str      =			(
       None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
   )
   __UpperCAmelCase : str      =			None  # compression type in fsspec. ex: "gzip"
   __UpperCAmelCase : str      =			None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz


   def __init__(self     :						List[str]       ,  __UpperCAmelCase     :						str = ""       ,  __UpperCAmelCase     :						Optional[str] = None       ,  __UpperCAmelCase     :						Optional[dict] = None       ,  **__UpperCAmelCase     :						Union[str, Any]		)						->				Dict:
         """simple docstring"""



         super().__init__(self       ,  **__UpperCAmelCase		)
         # always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
         UpperCAmelCase__								=  fsspec.open(
             __UpperCAmelCase       ,  mode="rb"       ,  protocol=__UpperCAmelCase       ,  compression=self.compression       ,  client_kwargs={
                 "requote_redirect_url": False,  # see https://github.com/huggingface/datasets/pull/5459
                 "trust_env": True,  # Enable reading proxy env variables.
                 **(target_options or {}).pop("client_kwargs"       ,  {}		),  # To avoid issues if it was already passed.
             }       ,  **(target_options or {})       ,  )
         UpperCAmelCase__								=  os.path.basename(self.file.path.split("::"		)[0]		)
         UpperCAmelCase__								=  (
             self.compressed_name[: self.compressed_name.rindex("."		)]
             if "." in self.compressed_name
             else self.compressed_name
         )
         UpperCAmelCase__								=  None


   @classmethod
   def 			lowercase_      (cls     :						int       ,  __UpperCAmelCase     :						Union[str, Any]		)						->				Dict:
         """simple docstring"""



         return super()._strip_protocol(__UpperCAmelCase		).lstrip("/"		)


   def 			lowercase_      (self     :						Any		)						->				Any:
         """simple docstring"""



         if self.dir_cache is None:
               UpperCAmelCase__								=  {**self.file.fs.info(self.file.path		), "name": self.uncompressed_name}
               UpperCAmelCase__								=  {f["name"]: f}


   def 			lowercase_      (self     :						Union[str, Any]       ,  __UpperCAmelCase     :						str		)						->				Union[str, Any]:
         """simple docstring"""



         return self.file.open().read()





   def 			lowercase_      (self     :						Any       ,  __UpperCAmelCase     :						str       ,  __UpperCAmelCase     :						str = "rb"       ,  __UpperCAmelCase     :						Any=None       ,  __UpperCAmelCase     :						str=True       ,  __UpperCAmelCase     :						Optional[Any]=None       ,  **__UpperCAmelCase     :						str       ,  )						->				Dict:
         """simple docstring"""



         UpperCAmelCase__								=  self._strip_protocol(__UpperCAmelCase		)
         if mode != "rb":
               raise ValueError(f"""Tried to read with mode {mode} on file {self.file.path} opened with mode 'rb'"""		)
         return self.file.open()





class      A							(				UpperCAmelCase_     ):
   __UpperCAmelCase : Optional[int]      =			'bz2'
   __UpperCAmelCase : Dict      =			'bz2'
   __UpperCAmelCase : Dict      =			'.bz2'





class      A							(				UpperCAmelCase_     ):
   __UpperCAmelCase : Optional[int]      =			'gzip'
   __UpperCAmelCase : Optional[Any]      =			'gzip'
   __UpperCAmelCase : Union[str, Any]      =			'.gz'





class      A							(				UpperCAmelCase_     ):
   __UpperCAmelCase : List[str]      =			'lz4'
   __UpperCAmelCase : str      =			'lz4'
   __UpperCAmelCase : Any      =			'.lz4'





class      A							(				UpperCAmelCase_     ):
   __UpperCAmelCase : str      =			'xz'
   __UpperCAmelCase : int      =			'xz'
   __UpperCAmelCase : Union[str, Any]      =			'.xz'





class      A							(				UpperCAmelCase_     ):
   __UpperCAmelCase : str      =			'zstd'
   __UpperCAmelCase : str      =			'zstd'
   __UpperCAmelCase : Optional[Any]      =			'.zst'


   def __init__(self     :						List[Any]       ,  __UpperCAmelCase     :						str       ,  __UpperCAmelCase     :						str = "rb"       ,  __UpperCAmelCase     :						Optional[str] = None       ,  __UpperCAmelCase     :						Optional[dict] = None       ,  __UpperCAmelCase     :						int = DEFAULT_BLOCK_SIZE       ,  **__UpperCAmelCase     :						List[str]       ,  )						->				List[str]:
         """simple docstring"""



         super().__init__(
             fo=__UpperCAmelCase       ,  mode=__UpperCAmelCase       ,  target_protocol=__UpperCAmelCase       ,  target_options=__UpperCAmelCase       ,  block_size=__UpperCAmelCase       ,  **__UpperCAmelCase       ,  )
         # We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
         #
         # File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
         #     out.close = close
         # AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
         #
         # see https://github.com/intake/filesystem_spec/issues/725
         UpperCAmelCase__								=  self.file.__enter__





         class      A							:


            def __init__(self     :						List[Any]       ,  __UpperCAmelCase     :						Any		)						->				List[str]:
                  """simple docstring"""



                  UpperCAmelCase__								=  file_


            def __enter__(self     :						List[str]		)						->				Tuple:
                  """simple docstring"""



                  self._file.__enter__()
                  return self


            def __exit__(self     :						int       ,  *__UpperCAmelCase     :						Any       ,  **__UpperCAmelCase     :						Tuple		)						->				str:
                  """simple docstring"""



                  self._file.__exit__(*__UpperCAmelCase       ,  **__UpperCAmelCase		)


            def __iter__(self     :						str		)						->				List[Any]:
                  """simple docstring"""



                  return iter(self._file		)


            def 			lowercase_      (self     :						int		)						->				Any:
                  """simple docstring"""



                  return next(self._file		)





            def __getattr__(self     :						Optional[int]       ,  __UpperCAmelCase     :						Any		)						->				Dict:
                  """simple docstring"""



                  return getattr(self._file       ,  __UpperCAmelCase		)

         def fixed_enter(*__UpperCAmelCase     :						Tuple       ,  **__UpperCAmelCase     :						Union[str, Any]		):
               return WrappedFile(_enter(*__UpperCAmelCase       ,  **__UpperCAmelCase		)		)

         UpperCAmelCase__								=  fixed_enter








"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__    :  int							    =	logging.get_logger(__name__)

lowercase__    :  List[Any]							    =	{
    '''EleutherAI/gpt-neox-20b''': '''https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json''',
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}




class        _UpperCAmelCase       (			lowerCAmelCase__):
 _lowerCAmelCase   :			List[Any]							=		"""gpt_neox"""

 def __init__(     self		:       List[str]  ,     lowercase_		:       str=50432  ,     lowercase_		:       List[Any]=6144  ,     lowercase_		:       List[Any]=44  ,     lowercase_		:       Union[str, Any]=64  ,     lowercase_		:       List[str]=24576  ,     lowercase_		:       List[Any]="gelu"  ,     lowercase_		:       str=0.25  ,     lowercase_		:       Optional[int]=10000  ,     lowercase_		:       Optional[int]=0.0  ,     lowercase_		:       Optional[int]=0.0  ,     lowercase_		:       int=0.1  ,     lowercase_		:       Tuple=2048  ,     lowercase_		:       Union[str, Any]=0.02  ,     lowercase_		:       List[str]=1E-5  ,     lowercase_		:       str=True  ,     lowercase_		:       str=0  ,     lowercase_		:       Union[str, Any]=2  ,     lowercase_		:       List[str]=False  ,     lowercase_		:       Optional[int]=True  ,     lowercase_		:       List[Any]=None  ,     **lowercase_		:       Optional[int]  ,     ):
     super().__init__(bos_token_id=lowercase_  ,     eos_token_id=lowercase_  ,     **lowercase_				)
     snake_case_ :     List[str]				=	vocab_size
     snake_case_ :     Optional[Any]				=	max_position_embeddings
     snake_case_ :     str				=	hidden_size
     snake_case_ :     Dict				=	num_hidden_layers
     snake_case_ :     Dict				=	num_attention_heads
     snake_case_ :     List[Any]				=	intermediate_size
     snake_case_ :     List[Any]				=	hidden_act
     snake_case_ :     str				=	rotary_pct
     snake_case_ :     Dict				=	rotary_emb_base
     snake_case_ :     Optional[int]				=	attention_dropout
     snake_case_ :     Tuple				=	hidden_dropout
     snake_case_ :     Tuple				=	classifier_dropout
     snake_case_ :     List[str]				=	initializer_range
     snake_case_ :     Union[str, Any]				=	layer_norm_eps
     snake_case_ :     Any				=	use_cache
     snake_case_ :     Optional[int]				=	tie_word_embeddings
     snake_case_ :     Any				=	use_parallel_residual
     snake_case_ :     Union[str, Any]				=	rope_scaling
     self._rope_scaling_validation()

     if self.hidden_size % self.num_attention_heads != 0:
         raise ValueError(
             '''The hidden size is not divisble by the number of attention heads! Make sure to update them!'''				)






 def 						_snake_case					(     self		:       Optional[int]				):
     if self.rope_scaling is None:
         return

     if not isinstance(self.rope_scaling  ,     lowercase_				) or len(self.rope_scaling				) != 2:
         raise ValueError(
             '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
             f"got {self.rope_scaling}"				)
     snake_case_ :     Any				=	self.rope_scaling.get('''type'''  ,     lowercase_				)
     snake_case_ :     Union[str, Any]				=	self.rope_scaling.get('''factor'''  ,     lowercase_				)
     if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
         raise ValueError(
             f"`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"				)
     if rope_scaling_factor is None or not isinstance(lowercase_  ,     lowercase_				) or rope_scaling_factor <= 1.0:
         raise ValueError(f"`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"				)





