
from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE     :				Optional[int]             =       {
    'configuration_realm': ['REALM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RealmConfig'],
    'tokenization_realm': ['RealmTokenizer'],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE     :				Tuple             =       ['RealmTokenizerFast']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE     :				Optional[Any]             =       [
		    'REALM_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'RealmEmbedder',
		    'RealmForOpenQA',
		    'RealmKnowledgeAugEncoder',
		    'RealmPreTrainedModel',
		    'RealmReader',
		    'RealmScorer',
		    'load_tf_weights_in_realm',
		]
		__SCREAMING_SNAKE_CASE     :				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

		__SCREAMING_SNAKE_CASE     :				Optional[Any]             =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


def       UpperCAmelCase__							(    __magic_name__  :       int = 99_80_01					):


					'''simple docstring'''

					lowerCAmelCase						:   Tuple							=       0
					for i in range(9_99							,					99							,					-1					):  # 3 digit numbers range from 999 down to 100
										for j in range(9_99							,					99							,					-1					):
															lowerCAmelCase						:   Any							=       str(i * j					)
															if product_string == product_string[::-1] and i * j < n:
																				lowerCAmelCase						:   Optional[int]							=       max(__magic_name__							,					i * j					)
					return answer


if __name__ == "__main__":
		print(f"""{solution() = }""")
