
from typing import TYPE_CHECKING

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


__lowerCamelCase								=					{
    'configuration_realm': ['REALM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RealmConfig'],
    'tokenization_realm': ['RealmTokenizer'],
}

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

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase								=					[
				    'REALM_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'RealmEmbedder',
				    'RealmForOpenQA',
				    'RealmKnowledgeAugEncoder',
				    'RealmPreTrainedModel',
				    'RealmReader',
				    'RealmScorer',
				    'load_tf_weights_in_realm',
				]
				__lowerCamelCase								=					['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								=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


__A     						=      logging.get_logger(__name__)



class     lowercase_       (    __lowercase	):



      def __init__(     self :							List[str]     ,   *A__ :							Tuple     ,   **A__ :							int						)       ->	None:
        warnings.warn(
            '''The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
            ''' Please use DetrImageProcessor instead.'''     ,   A__     ,   )
        super().__init__(*A__     ,   **A__						)

