



"""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
lowercase  							=					object()

# For specifying empty leaf dict `{}`
lowercase  							=					object()




def 	UpperCAmelCase     (		A	:						Tuple     ,				A	:						List[str]       )     ->   int:

		'''simple docstring'''


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




def 	UpperCAmelCase     (		A	:						List[Any]       )     ->   Union[str, Any]:

		'''simple docstring'''


		def replace(A	:						str     ,				A	:						List[Any]       ):
				for rule, replacement in rules:
						if _match(A     ,				A       ):
								return replacement
				return val

		return replace




def 	UpperCAmelCase     (		)     ->   Dict:

		'''simple docstring'''


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

		'''simple docstring'''


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







"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase  							=					{
    '''configuration_clipseg''': [
        '''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPSegConfig''',
        '''CLIPSegTextConfig''',
        '''CLIPSegVisionConfig''',
    ],
    '''processing_clipseg''': ['''CLIPSegProcessor'''],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase  							=					[
					    '''CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''CLIPSegModel''',
					    '''CLIPSegPreTrainedModel''',
					    '''CLIPSegTextModel''',
					    '''CLIPSegVisionModel''',
					    '''CLIPSegForImageSegmentation''',
					]

if TYPE_CHECKING:
					from .configuration_clipseg import (
					    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    CLIPSegConfig,
					    CLIPSegTextConfig,
					    CLIPSegVisionConfig,
					)
					from .processing_clipseg import CLIPSegProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_clipseg import (
										    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
										    CLIPSegForImageSegmentation,
										    CLIPSegModel,
										    CLIPSegPreTrainedModel,
										    CLIPSegTextModel,
										    CLIPSegVisionModel,
										)

else:
					import sys

					lowercase  							=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


