





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


SCREAMING_SNAKE_CASE_						   =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_						   =       {
    """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_   ):



     '''simple docstring'''

     __snake_case    :	Optional[int]			=			"gpt_neox"






     def __init__(							self						:    Any						,lowerCamelCase__						:    Optional[int]=50432						,lowerCamelCase__						:    List[Any]=6144						,lowerCamelCase__						:    Dict=44						,lowerCamelCase__						:    Dict=64						,lowerCamelCase__						:    Tuple=24576						,lowerCamelCase__						:    List[str]="gelu"						,lowerCamelCase__						:    int=0.25						,lowerCamelCase__						:    Any=10000						,lowerCamelCase__						:    Dict=0.0						,lowerCamelCase__						:    Any=0.0						,lowerCamelCase__						:    str=0.1						,lowerCamelCase__						:    int=2048						,lowerCamelCase__						:    Union[str, Any]=0.02						,lowerCamelCase__						:    List[str]=1e-5						,lowerCamelCase__						:    Any=True						,lowerCamelCase__						:    List[str]=0						,lowerCamelCase__						:    List[Any]=2						,lowerCamelCase__						:    str=False						,lowerCamelCase__						:    Tuple=True						,lowerCamelCase__						:    Optional[Any]=None						,**lowerCamelCase__						:    List[Any]						,)     ->		str:




           '''simple docstring'''


           super().__init__(bos_token_id=lowerCamelCase__						,eos_token_id=lowerCamelCase__						,**lowerCamelCase__       )
           SCREAMING_SNAKE_CASE		=						vocab_size
           SCREAMING_SNAKE_CASE		=						max_position_embeddings
           SCREAMING_SNAKE_CASE		=						hidden_size
           SCREAMING_SNAKE_CASE		=						num_hidden_layers
           SCREAMING_SNAKE_CASE		=						num_attention_heads
           SCREAMING_SNAKE_CASE		=						intermediate_size
           SCREAMING_SNAKE_CASE		=						hidden_act
           SCREAMING_SNAKE_CASE		=						rotary_pct
           SCREAMING_SNAKE_CASE		=						rotary_emb_base
           SCREAMING_SNAKE_CASE		=						attention_dropout
           SCREAMING_SNAKE_CASE		=						hidden_dropout
           SCREAMING_SNAKE_CASE		=						classifier_dropout
           SCREAMING_SNAKE_CASE		=						initializer_range
           SCREAMING_SNAKE_CASE		=						layer_norm_eps
           SCREAMING_SNAKE_CASE		=						use_cache
           SCREAMING_SNAKE_CASE		=						tie_word_embeddings
           SCREAMING_SNAKE_CASE		=						use_parallel_residual
           SCREAMING_SNAKE_CASE		=						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 				SCREAMING_SNAKE_CASE__  (							self						:    int       )     ->		int:




           '''simple docstring'''


           if self.rope_scaling is None:
                 return

           if not isinstance(self.rope_scaling						,lowerCamelCase__       ) 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}"""       )
           SCREAMING_SNAKE_CASE		=						self.rope_scaling.get("""type"""						,lowerCamelCase__       )
           SCREAMING_SNAKE_CASE		=						self.rope_scaling.get("""factor"""						,lowerCamelCase__       )
           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(lowerCamelCase__						,lowerCamelCase__       ) or rope_scaling_factor <= 1.0:
                 raise ValueError(F"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"""       )









import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


SCREAMING_SNAKE_CASE_						   =       importlib.util.find_spec("""s3fs""") is not None

if _has_safs:
      from .safilesystem import SaFileSystem  # noqa: F401

SCREAMING_SNAKE_CASE_						   =       [
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
      if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
            warnings.warn(F'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
      fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   str:


      '''simple docstring'''


      if "://" in dataset_path:
            SCREAMING_SNAKE_CASE		=						dataset_path.split("""://"""	)[1]
      return dataset_path



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   bool:


      '''simple docstring'''


      if fs is not None and fs.protocol != "file":
            return True
      else:
            return False



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   Dict:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						not is_remote_filesystem(_SCREAMING_SNAKE_CASE	)
      if is_local:
            # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
            shutil.move(fs._strip_protocol(_SCREAMING_SNAKE_CASE	) ,						fs._strip_protocol(_SCREAMING_SNAKE_CASE	)	)
      else:
            fs.mv(_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						recursive=_SCREAMING_SNAKE_CASE	)



def    __lowercase   (      ) ->   None:


      '''simple docstring'''


      if hasattr(fsspec.asyn ,						"""reset_lock"""	):
            # for future fsspec>2022.05.0
            fsspec.asyn.reset_lock()
      else:
            SCREAMING_SNAKE_CASE		=						None
            SCREAMING_SNAKE_CASE		=						None
            SCREAMING_SNAKE_CASE		=						threading.Lock()


