






"""simple docstring"""





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
A__					: Optional[int]=	object()

# For specifying empty leaf dict `{}`
A__					: Optional[Any]=	object()







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    UpperCamelCase__         =    tuple((re.compile(x + '$'					) for x in qs)					)
    for i in range(len(SCREAMING_SNAKE_CASE					) - len(SCREAMING_SNAKE_CASE					) + 1					):
        UpperCamelCase__         =    [x.match(SCREAMING_SNAKE_CASE					) for x, y in zip(SCREAMING_SNAKE_CASE ,	ks[i:]					)]
        if matches and all(SCREAMING_SNAKE_CASE					):
            return True
    return False







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	List[Any]:
    """simple docstring"""

    def replace(SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					):
        for rule, replacement in rules:
            if _match(SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					):
                return replacement
        return val

    return replace







def   lowerCAmelCase_( )					->	int:
    """simple docstring"""

    return [
        # embeddings
        (("transformer", "wpe", "embedding"), P('mp' ,	SCREAMING_SNAKE_CASE					)),
        (("transformer", "wte", "embedding"), P('mp' ,	SCREAMING_SNAKE_CASE					)),
        # atention
        (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(SCREAMING_SNAKE_CASE ,	'mp'					)),
        (("attention", "out_proj", "kernel"), P('mp' ,	SCREAMING_SNAKE_CASE					)),
        (("attention", "out_proj", "bias"), None),
        # mlp
        (("mlp", "c_fc", "kernel"), P(SCREAMING_SNAKE_CASE ,	'mp'					)),
        (("mlp", "c_fc", "bias"), P('mp'					)),
        (("mlp", "c_proj", "kernel"), P('mp' ,	SCREAMING_SNAKE_CASE					)),
        (("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   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	str:
    """simple docstring"""

    UpperCamelCase__         =    _get_partition_rules()
    UpperCamelCase__         =    _replacement_rules(SCREAMING_SNAKE_CASE					)
    UpperCamelCase__         =    {k: _unmatched for k in flatten_dict(SCREAMING_SNAKE_CASE					)}
    UpperCamelCase__         =    {k: replace(SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					) for k, v in initd.items()}
    assert _unmatched not in result.values(), "Incomplete partition spec."
    return freeze(unflatten_dict(SCREAMING_SNAKE_CASE					)					)












"""simple docstring"""





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


A__					: List[str]=	logging.get_logger(__name__)
class    __lowerCamelCase    (  _a  ):
   a      :				Optional[int] 						="""timm_backbone"""

   def __init__(					self ,				snake_case_=None ,				snake_case_=3 ,				snake_case_=True ,				snake_case_=True ,				snake_case_=None ,				**snake_case_ ,				)		->       Dict:
       super().__init__(**snake_case_      )
       UpperCamelCase__         =    backbone
       UpperCamelCase__         =    num_channels
       UpperCamelCase__         =    features_only
       UpperCamelCase__         =    use_pretrained_backbone
       UpperCamelCase__         =    True
       UpperCamelCase__         =    out_indices if out_indices is not None else (-1,)




