




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
UpperCAmelCase_		:				str									=     object()

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




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				__magic_name__	:	Dict								=tuple((re.compile(x + """$"""   ) for x in qs)   )
				for i in range(len(lowerCamelCase   ) - len(lowerCamelCase   ) + 1   ):
								__magic_name__	:	Optional[Any]								=[x.match(lowerCamelCase   ) for x, y in zip(lowerCamelCase	,     ks[i:]   )]
								if matches and all(lowerCamelCase   ):
												return True
				return False




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

				return replace




def 		lowerCAmelCase_   (	):
				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 		lowerCAmelCase_   (	lowerCamelCase   ):
				__magic_name__	:	List[str]								=_get_partition_rules()
				__magic_name__	:	Optional[int]								=_replacement_rules(lowerCamelCase   )
				__magic_name__	:	List[Any]								={k: _unmatched for k in flatten_dict(lowerCamelCase   )}
				__magic_name__	:	List[str]								={k: replace(lowerCamelCase	,     lowerCamelCase   ) for k, v in initd.items()}
				assert _unmatched not in result.values(), "Incomplete partition spec."
				return freeze(unflatten_dict(lowerCamelCase   )   )










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_		:				Dict									=     {"configuration_wavlm": ["WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "WavLMConfig"]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase_		:				Optional[int]									=     [
							    "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "WavLMForAudioFrameClassification",
							    "WavLMForCTC",
							    "WavLMForSequenceClassification",
							    "WavLMForXVector",
							    "WavLMModel",
							    "WavLMPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_wavlm import (
														    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    WavLMForAudioFrameClassification,
														    WavLMForCTC,
														    WavLMForSequenceClassification,
														    WavLMForXVector,
														    WavLMModel,
														    WavLMPreTrainedModel,
														)

else:
							import sys

							UpperCAmelCase_		:				Union[str, Any]									=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




