
"""simple docstring"""


from typing import TYPE_CHECKING

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


lowerCAmelCase								=						{
    """configuration_markuplm""": ["""MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarkupLMConfig"""],
    """feature_extraction_markuplm""": ["""MarkupLMFeatureExtractor"""],
    """processing_markuplm""": ["""MarkupLMProcessor"""],
    """tokenization_markuplm""": ["""MarkupLMTokenizer"""],
}

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

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						[
							    """MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MarkupLMForQuestionAnswering""",
							    """MarkupLMForSequenceClassification""",
							    """MarkupLMForTokenClassification""",
							    """MarkupLMModel""",
							    """MarkupLMPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
							from .feature_extraction_markuplm import MarkupLMFeatureExtractor
							from .processing_markuplm import MarkupLMProcessor
							from .tokenization_markuplm import MarkupLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_markuplm_fast import MarkupLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_markuplm import (
														    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MarkupLMForQuestionAnswering,
														    MarkupLMForSequenceClassification,
														    MarkupLMForTokenClassification,
														    MarkupLMModel,
														    MarkupLMPreTrainedModel,
														)


else:
							import sys

							lowerCAmelCase								=						_LazyModule(__name__, globals()["""__file__"""], _import_structure)

"""simple docstring"""


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


lowerCAmelCase								=						logging.get_logger(__name__)

lowerCAmelCase								=						{
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}

class    A_     (					A__       ):



							"""simple docstring"""






							SCREAMING_SNAKE_CASE_     				=       """nystromformer"""





							def __init__(  self  :Optional[Any]					,							lowerCamelCase_  :Optional[Any]=30_000					,							lowerCamelCase_  :str=768					,							lowerCamelCase_  :str=12					,							lowerCamelCase_  :str=12					,							lowerCamelCase_  :Any=3_072					,							lowerCamelCase_  :Optional[int]="gelu_new"					,							lowerCamelCase_  :List[Any]=0.1					,							lowerCamelCase_  :List[str]=0.1					,							lowerCamelCase_  :Any=510					,							lowerCamelCase_  :Optional[int]=2					,							lowerCamelCase_  :List[Any]=64					,							lowerCamelCase_  :Union[str, Any]=64					,							lowerCamelCase_  :str=65					,							lowerCamelCase_  :Union[str, Any]=False					,							lowerCamelCase_  :str=0.02					,							lowerCamelCase_  :Any=1e-5					,							lowerCamelCase_  :int=1					,							lowerCamelCase_  :Optional[int]=0					,							lowerCamelCase_  :str=2					,							**lowerCamelCase_  :int					,							):





										"""simple docstring"""

										lowerCamelCase__     :					int		=vocab_size
										lowerCamelCase__     :					Optional[int]		=max_position_embeddings
										lowerCamelCase__     :					List[Any]		=hidden_size
										lowerCamelCase__     :					Tuple		=num_hidden_layers
										lowerCamelCase__     :					Optional[Any]		=num_attention_heads
										lowerCamelCase__     :					List[str]		=intermediate_size
										lowerCamelCase__     :					Union[str, Any]		=hidden_act
										lowerCamelCase__     :					int		=hidden_dropout_prob
										lowerCamelCase__     :					Tuple		=attention_probs_dropout_prob
										lowerCamelCase__     :					Dict		=initializer_range
										lowerCamelCase__     :					Tuple		=type_vocab_size
										lowerCamelCase__     :					Any		=segment_means_seq_len
										lowerCamelCase__     :					int		=num_landmarks
										lowerCamelCase__     :					Tuple		=conv_kernel_size
										lowerCamelCase__     :					Optional[int]		=inv_coeff_init_option
										lowerCamelCase__     :					List[str]		=layer_norm_eps
										super().__init__(pad_token_id=lowerCamelCase_					,							bos_token_id=lowerCamelCase_					,							eos_token_id=lowerCamelCase_					,							**lowerCamelCase_	)