

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase							:						List[Any]     			=		{
    """configuration_realm""": ["""REALM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RealmConfig"""],
    """tokenization_realm""": ["""RealmTokenizer"""],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase							:						str     			=		["""RealmTokenizerFast"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase							:						Optional[int]     			=		[
		    """REALM_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """RealmEmbedder""",
		    """RealmForOpenQA""",
		    """RealmKnowledgeAugEncoder""",
		    """RealmPreTrainedModel""",
		    """RealmReader""",
		    """RealmScorer""",
		    """load_tf_weights_in_realm""",
		]
		lowerCAmelCase							:						List[str]     			=		["""RealmRetriever"""]


if TYPE_CHECKING:
		from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
		from .tokenization_realm import RealmTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_realm import RealmTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_realm import (
				    REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    RealmEmbedder,
				    RealmForOpenQA,
				    RealmKnowledgeAugEncoder,
				    RealmPreTrainedModel,
				    RealmReader,
				    RealmScorer,
				    load_tf_weights_in_realm,
				)
				from .retrieval_realm import RealmRetriever


else:
		import sys

		lowerCAmelCase							:						List[str]     			=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









def     A_   (					_UpperCAmelCase					):
						SCREAMING_SNAKE_CASE_:				Optional[Any]							= []
						SCREAMING_SNAKE_CASE_:				Any							= 1

						for i in range(len(_UpperCAmelCase					)					):
												if i + 1 < len(_UpperCAmelCase					) and text[i] == text[i + 1]:
																		count += 1
												else:
																		encoded.append((text[i], count)					)
																		SCREAMING_SNAKE_CASE_:				List[Any]							= 1

						return encoded







def     A_   (					_UpperCAmelCase					):
						return "".join(char * length for char, length in encoded					)


if __name__ == "__main__":
						from doctest import testmod

						testmod(name="""run_length_encode""", verbose=True)
						testmod(name="""run_length_decode""", verbose=True)






