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


__lowerCAmelCase			:     Any           =   logging.get_logger(__name__)

__lowerCAmelCase			:     List[str]           =   {
    '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_			( _A     ):


  '''simple docstring'''







  a__           =		"""gpt_neox"""
  def __init__( self			: int			,							UpperCamelCase__			: List[Any]=5_0432			,							UpperCamelCase__			: str=6144			,							UpperCamelCase__			: List[str]=44			,							UpperCamelCase__			: List[str]=64			,							UpperCamelCase__			: List[Any]=2_4576			,							UpperCamelCase__			: Optional[int]="gelu"			,							UpperCamelCase__			: Optional[int]=0.25			,							UpperCamelCase__			: Optional[Any]=1_0000			,							UpperCamelCase__			: Tuple=0.0			,							UpperCamelCase__			: str=0.0			,							UpperCamelCase__			: int=0.1			,							UpperCamelCase__			: int=2048			,							UpperCamelCase__			: Dict=0.02			,							UpperCamelCase__			: Optional[int]=1E-5			,							UpperCamelCase__			: Dict=True			,							UpperCamelCase__			: List[str]=0			,							UpperCamelCase__			: List[str]=2			,							UpperCamelCase__			: Tuple=False			,							UpperCamelCase__			: Optional[Any]=True			,							UpperCamelCase__			: Dict=None			,							**UpperCamelCase__			: List[Any]			,							)			->	Optional[int]:







    """simple docstring"""






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







    """simple docstring"""






    if self.rope_scaling is None:
      return

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



# this script reports modified .py files under the desired list of top-level sub-dirs passed as a list of arguments, e.g.:
#   python ./utils/get_modified_files.py utils src tests examples
#
# it uses git to find the forking point and which files were modified - i.e. files not under git won't be considered
# since the output of this script is fed into Makefile commands it doesn't print a newline after the results

import re
import subprocess
import sys


__lowerCAmelCase			:     int           =   subprocess.check_output('git merge-base main HEAD'.split()).decode('utf-8')
__lowerCAmelCase			:     Any           =   (
    subprocess.check_output(F'''git diff --diff-filter=d --name-only {fork_point_sha}'''.split()).decode('utf-8').split()
)

__lowerCAmelCase			:     str           =   '|'.join(sys.argv[1:])
__lowerCAmelCase			:     Tuple           =   re.compile(RF'''^({joined_dirs}).*?\.py$''')

__lowerCAmelCase			:     Union[str, Any]           =   [x for x in modified_files if regex.match(x)]
print(' '.join(relevant_modified_files), end='')

