






from typing import Callable, Optional, Union

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


__UpperCamelCase					:		Tuple	  =						logging.get_logger(__name__)

__UpperCamelCase					:		Union[str, Any]	  =						{
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}


class   __SCREAMING_SNAKE_CASE(	a_	):
							_UpperCAmelCase     =       "xlm-prophetnet"
							_UpperCAmelCase     =       ["past_key_values"]
							_UpperCAmelCase     =       {
							    "num_attention_heads": "num_encoder_attention_heads",
							}
							def __init__(     self:      int       ,	UpperCamelCase:      Optional[float] = 0.1       ,	UpperCamelCase:      Optional[Union[str, Callable]] = "gelu"       ,	UpperCamelCase:      Optional[int] = 3_05_22       ,	UpperCamelCase:      Optional[int] = 10_24       ,	UpperCamelCase:      Optional[int] = 40_96       ,	UpperCamelCase:      Optional[int] = 12       ,	UpperCamelCase:      Optional[int] = 16       ,	UpperCamelCase:      Optional[int] = 40_96       ,	UpperCamelCase:      Optional[int] = 12       ,	UpperCamelCase:      Optional[int] = 16       ,	UpperCamelCase:      Optional[float] = 0.1       ,	UpperCamelCase:      Optional[float] = 0.1       ,	UpperCamelCase:      Optional[int] = 5_12       ,	UpperCamelCase:      Optional[float] = 0.02       ,	UpperCamelCase:      Optional[bool] = True       ,	UpperCamelCase:      Optional[bool] = True       ,	UpperCamelCase:      Optional[int] = 0       ,	UpperCamelCase:      Optional[int] = 2       ,	UpperCamelCase:      Optional[int] = 32       ,	UpperCamelCase:      Optional[int] = 1_28       ,	UpperCamelCase:      Optional[bool] = False       ,	UpperCamelCase:      Optional[float] = 0.0       ,	UpperCamelCase:      Optional[bool] = True       ,	UpperCamelCase:      Optional[int] = 0       ,	UpperCamelCase:      Optional[int] = 1       ,	UpperCamelCase:      Optional[int] = 2       ,	**UpperCamelCase:      Union[str, Any]       ,	)		->		str:
											snake_case__									=     vocab_size
											snake_case__									=     hidden_size
											snake_case__									=     encoder_ffn_dim
											snake_case__									=     num_encoder_layers
											snake_case__									=     num_encoder_attention_heads
											snake_case__									=     decoder_ffn_dim
											snake_case__									=     num_decoder_layers
											snake_case__									=     num_decoder_attention_heads
											snake_case__									=     max_position_embeddings
											snake_case__									=     init_std  # Normal(0, this parameter)
											snake_case__									=     activation_function

											# parameters for xlmprophetnet
											snake_case__									=     ngram
											snake_case__									=     num_buckets
											snake_case__									=     relative_max_distance
											snake_case__									=     disable_ngram_loss
											snake_case__									=     eps

											# 3 Types of Dropout
											snake_case__									=     attention_dropout
											snake_case__									=     activation_dropout
											snake_case__									=     dropout

											snake_case__									=     use_cache

											super().__init__(
											    pad_token_id=UpperCamelCase       ,	bos_token_id=UpperCamelCase       ,	eos_token_id=UpperCamelCase       ,	is_encoder_decoder=UpperCamelCase       ,	add_cross_attention=UpperCamelCase       ,	decoder_start_token_id=UpperCamelCase       ,	**UpperCamelCase       ,	)
							@property
							def lowerCAmelCase_ (     self:      Any						)		->		int:
											return self.num_encoder_layers + self.num_decoder_layers


							@num_hidden_layers.setter
							def lowerCAmelCase_ (     self:      Dict       ,	UpperCamelCase:      Union[str, Any]						)		->		Union[str, Any]:
											raise NotImplementedError(
											    'This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'
											    ' `num_decoder_layers`.'						)












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__UpperCamelCase					:		str	  =						{"""processing_layoutxlm""": ["""LayoutXLMProcessor"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase					:		Dict	  =						["""LayoutXLMTokenizer"""]

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase					:		str	  =						["""LayoutXLMTokenizerFast"""]

if TYPE_CHECKING:
							from .processing_layoutxlm import LayoutXLMProcessor

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_layoutxlm import LayoutXLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
							import sys

							__UpperCamelCase					:		Union[str, Any]	  =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




