

'''simple docstring'''


import logging

from transformers import PretrainedConfig


lowerCAmelCase__										= logging.getLogger(__name__)


lowerCAmelCase__										= {
    "bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}



class 					lowercase						(  a_ ):
							_lowerCamelCase		:      Optional[int]=   "bertabs"


							def __init__(			self    ,			_snake_case=3_0522    ,			_snake_case=512    ,			_snake_case=6    ,			_snake_case=512    ,			_snake_case=8    ,			_snake_case=512    ,			_snake_case=0.2    ,			_snake_case=6    ,			_snake_case=768    ,			_snake_case=8    ,			_snake_case=2048    ,			_snake_case=0.2    ,			**_snake_case    ,			)							->				str:
								super().__init__(**_snake_case)

								UpperCAmelCase_		:      Union[str, Any]       	=					vocab_size
								UpperCAmelCase_		:      Any       	=					max_pos

								UpperCAmelCase_		:      Union[str, Any]       	=					enc_layers
								UpperCAmelCase_		:      List[str]       	=					enc_hidden_size
								UpperCAmelCase_		:      Tuple       	=					enc_heads
								UpperCAmelCase_		:      int       	=					enc_ff_size
								UpperCAmelCase_		:      int       	=					enc_dropout

								UpperCAmelCase_		:      int       	=					dec_layers
								UpperCAmelCase_		:      Union[str, Any]       	=					dec_hidden_size
								UpperCAmelCase_		:      List[Any]       	=					dec_heads
								UpperCAmelCase_		:      List[str]       	=					dec_ff_size
								UpperCAmelCase_		:      Tuple       	=					dec_dropout









'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__										= {
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__										= [
						    "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "ClapModel",
						    "ClapPreTrainedModel",
						    "ClapTextModel",
						    "ClapTextModelWithProjection",
						    "ClapAudioModel",
						    "ClapAudioModelWithProjection",
						]
						lowerCAmelCase__										= ["ClapFeatureExtractor"]

if TYPE_CHECKING:
						from .configuration_clap import (
						    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ClapAudioConfig,
						    ClapConfig,
						    ClapTextConfig,
						)
						from .processing_clap import ClapProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_clap import ClapFeatureExtractor
												from .modeling_clap import (
												    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ClapAudioModel,
												    ClapAudioModelWithProjection,
												    ClapModel,
												    ClapPreTrainedModel,
												    ClapTextModel,
												    ClapTextModelWithProjection,
												)


else:
						import sys

						lowerCAmelCase__										= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






