





import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
_lowerCAmelCase				:   Optional[Any]						       =						object()

# For specifying empty leaf dict `{}`
_lowerCAmelCase				:   Dict						       =						object()

def   __snake_case    (       _lowerCAmelCase			:			int					,					_lowerCAmelCase			:			Optional[Any]						)			->    Union[str, Any]:
   A_       :					Optional[Any]        =      tuple((re.compile(x + "$"						) for x in qs)						)
   for i in range(len(_lowerCAmelCase						) - len(_lowerCAmelCase						) + 1						):
      A_       :					List[Any]        =      [x.match(_lowerCAmelCase						) for x, y in zip(_lowerCAmelCase					,					ks[i:]						)]
      if matches and all(_lowerCAmelCase						):
         return True
   return False

def   __snake_case    (       _lowerCAmelCase			:			Tuple						)			->    List[str]:
   def replace(_lowerCAmelCase			:			Union[str, Any]					,					_lowerCAmelCase			:			Union[str, Any]						):
      for rule, replacement in rules:
         if _match(_lowerCAmelCase					,					_lowerCAmelCase						):
            return replacement
      return val

   return replace

def   __snake_case    (       )			->    Optional[Any]:
   return [
       # embeddings
       (("transformer", "wpe", "embedding"), P("mp"					,					_lowerCAmelCase						)),
       (("transformer", "wte", "embedding"), P("mp"					,					_lowerCAmelCase						)),
       # atention
       (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(_lowerCAmelCase					,					"mp"						)),
       (("attention", "out_proj", "kernel"), P("mp"					,					_lowerCAmelCase						)),
       (("attention", "out_proj", "bias"), None),
       # mlp
       (("mlp", "c_fc", "kernel"), P(_lowerCAmelCase					,					"mp"						)),
       (("mlp", "c_fc", "bias"), P("mp"						)),
       (("mlp", "c_proj", "kernel"), P("mp"					,					_lowerCAmelCase						)),
       (("mlp", "c_proj", "bias"), None),
       # layer norms
       ((r"ln_\d+", "bias"), None),
       ((r"\d+", r"ln_\d+", "scale"), None),
       (("ln_f", "bias"), None),
       (("ln_f", "scale"), None),
   ]





def   __snake_case    (       _lowerCAmelCase			:			str						)			->    Dict:
   A_       :					Optional[int]        =      _get_partition_rules()
   A_       :					Tuple        =      _replacement_rules(_lowerCAmelCase						)
   A_       :					int        =      {k: _unmatched for k in flatten_dict(_lowerCAmelCase						)}
   A_       :					Union[str, Any]        =      {k: replace(_lowerCAmelCase					,					_lowerCAmelCase						) for k, v in initd.items()}
   assert _unmatched not in result.values(), "Incomplete partition spec."
   return freeze(unflatten_dict(_lowerCAmelCase						)						)







import logging

from transformers import PretrainedConfig


_lowerCAmelCase				:   str						       =						logging.getLogger(__name__)


_lowerCAmelCase				:   Dict						       =						{
    '''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json''',
}


class        __magic_name__	(				lowerCamelCase__				):





     """simple docstring"""



     __UpperCamelCase            =  '''bertabs'''



     def __init__(				self							:Optional[int]      ,   snake_case							:Any=30_522      ,   snake_case							:List[str]=512      ,   snake_case							:str=6      ,   snake_case							:int=512      ,   snake_case							:Optional[Any]=8      ,   snake_case							:Tuple=512      ,   snake_case							:str=0.2      ,   snake_case							:Any=6      ,   snake_case							:Optional[Any]=768      ,   snake_case							:Optional[Any]=8      ,   snake_case							:List[Any]=2_048      ,   snake_case							:Dict=0.2      ,   **snake_case							:List[str]      ,   ):





        '''simple docstring'''




        super().__init__(**snake_case	)

        A_       :					List[str]        =      vocab_size
        A_       :					int        =      max_pos

        A_       :					Tuple        =      enc_layers
        A_       :					Tuple        =      enc_hidden_size
        A_       :					str        =      enc_heads
        A_       :					Optional[Any]        =      enc_ff_size
        A_       :					Optional[Any]        =      enc_dropout

        A_       :					List[str]        =      dec_layers
        A_       :					List[Any]        =      dec_hidden_size
        A_       :					Optional[int]        =      dec_heads
        A_       :					Any        =      dec_ff_size
        A_       :					Optional[int]        =      dec_dropout
