



'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase	:		List[Any]				=   {
    '''configuration_longformer''': [
        '''LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''LongformerConfig''',
        '''LongformerOnnxConfig''',
    ],
    '''tokenization_longformer''': ['''LongformerTokenizer'''],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		Any				=   ['''LongformerTokenizerFast''']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		List[Any]				=   [
	    '''LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''LongformerForMaskedLM''',
	    '''LongformerForMultipleChoice''',
	    '''LongformerForQuestionAnswering''',
	    '''LongformerForSequenceClassification''',
	    '''LongformerForTokenClassification''',
	    '''LongformerModel''',
	    '''LongformerPreTrainedModel''',
	    '''LongformerSelfAttention''',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		Optional[int]				=   [
	    '''TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TFLongformerForMaskedLM''',
	    '''TFLongformerForMultipleChoice''',
	    '''TFLongformerForQuestionAnswering''',
	    '''TFLongformerForSequenceClassification''',
	    '''TFLongformerForTokenClassification''',
	    '''TFLongformerModel''',
	    '''TFLongformerPreTrainedModel''',
	    '''TFLongformerSelfAttention''',
	]


if TYPE_CHECKING:
	from .configuration_longformer import (
	    LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    LongformerConfig,
	    LongformerOnnxConfig,
	)
	from .tokenization_longformer import LongformerTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_longformer_fast import LongformerTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_longformer import (
		    LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    LongformerForMaskedLM,
		    LongformerForMultipleChoice,
		    LongformerForQuestionAnswering,
		    LongformerForSequenceClassification,
		    LongformerForTokenClassification,
		    LongformerModel,
		    LongformerPreTrainedModel,
		    LongformerSelfAttention,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_longformer import (
		    TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFLongformerForMaskedLM,
		    TFLongformerForMultipleChoice,
		    TFLongformerForQuestionAnswering,
		    TFLongformerForSequenceClassification,
		    TFLongformerForTokenClassification,
		    TFLongformerModel,
		    TFLongformerPreTrainedModel,
		    TFLongformerSelfAttention,
		)

else:
	import sys

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




'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase	:		Optional[Any]				=   logging.get_logger(__name__)

lowerCAmelCase	:		Optional[int]				=   {
    '''facebook/dpr-ctx_encoder-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-question_encoder-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-reader-single-nq-base''': (
        '''https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-ctx_encoder-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-question_encoder-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json'''
    ),
    '''facebook/dpr-reader-multiset-base''': (
        '''https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json'''
    ),
}






class 					UpperCAmelCase__	(		UpperCamelCase__ ):
					a      :     Optional[Any]        =							"""dpr"""



					def __init__(    self			,				UpperCamelCase=3_0522			,				UpperCamelCase=768			,				UpperCamelCase=12			,				UpperCamelCase=12			,				UpperCamelCase=3072			,				UpperCamelCase="gelu"			,				UpperCamelCase=0.1			,				UpperCamelCase=0.1			,				UpperCamelCase=512			,				UpperCamelCase=2			,				UpperCamelCase=0.02			,				UpperCamelCase=1E-12			,				UpperCamelCase=0			,				UpperCamelCase="absolute"			,				UpperCamelCase = 0			,				**UpperCamelCase			,				)     ->			Tuple:
						super().__init__(pad_token_id=UpperCamelCase			,				**UpperCamelCase     )

						__lowerCAmelCase												=  vocab_size
						__lowerCAmelCase												=  hidden_size
						__lowerCAmelCase												=  num_hidden_layers
						__lowerCAmelCase												=  num_attention_heads
						__lowerCAmelCase												=  hidden_act
						__lowerCAmelCase												=  intermediate_size
						__lowerCAmelCase												=  hidden_dropout_prob
						__lowerCAmelCase												=  attention_probs_dropout_prob
						__lowerCAmelCase												=  max_position_embeddings
						__lowerCAmelCase												=  type_vocab_size
						__lowerCAmelCase												=  initializer_range
						__lowerCAmelCase												=  layer_norm_eps
						__lowerCAmelCase												=  projection_dim
						__lowerCAmelCase												=  position_embedding_type