from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging


if TYPE_CHECKING:
      from ...onnx.config import PatchingSpec
      from ...tokenization_utils_base import PreTrainedTokenizerBase


A_      =      logging.get_logger(__name__)

A_      =      {
    "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/config.json",
    "allenai/longformer-large-4096": "https://huggingface.co/allenai/longformer-large-4096/resolve/main/config.json",
    "allenai/longformer-large-4096-finetuned-triviaqa": (
        "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/config.json"
    ),
    "allenai/longformer-base-4096-extra.pos.embd.only": (
        "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/config.json"
    ),
    "allenai/longformer-large-4096-extra.pos.embd.only": (
        "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/config.json"
    ),
}






class      __lowercase					(    __UpperCAmelCase    ):
      lowercase					 =     """longformer"""

      def __init__(	self				:      List[Any]							,							__lowerCamelCase				:      List[str] = 5_12							,							__lowerCamelCase				:      Any = 2							,							__lowerCamelCase				:      int = 1							,							__lowerCamelCase				:      Optional[int] = 0							,							__lowerCamelCase				:      List[str] = 2							,							__lowerCamelCase				:      Dict = 3_05_22							,							__lowerCamelCase				:      Optional[int] = 7_68							,							__lowerCamelCase				:      Tuple = 12							,							__lowerCamelCase				:      Dict = 12							,							__lowerCamelCase				:      Dict = 30_72							,							__lowerCamelCase				:      Any = "gelu"							,							__lowerCamelCase				:      Dict = 0.1							,							__lowerCamelCase				:      Optional[Any] = 0.1							,							__lowerCamelCase				:      Union[str, Any] = 5_12							,							__lowerCamelCase				:      str = 2							,							__lowerCamelCase				:      Optional[Any] = 0.02							,							__lowerCamelCase				:      List[str] = 1E-12							,							__lowerCamelCase				:      Any = False							,							**__lowerCamelCase				:      Optional[Any]							,							)							->		List[str]:


         '''simple docstring'''

         super().__init__(pad_token_id=UpperCAmelCase_							,							**UpperCAmelCase_   )

         lowercase							=		attention_window
         lowercase							=		sep_token_id
         lowercase							=		bos_token_id
         lowercase							=		eos_token_id
         lowercase							=		vocab_size
         lowercase							=		hidden_size
         lowercase							=		num_hidden_layers
         lowercase							=		num_attention_heads
         lowercase							=		hidden_act
         lowercase							=		intermediate_size
         lowercase							=		hidden_dropout_prob
         lowercase							=		attention_probs_dropout_prob
         lowercase							=		max_position_embeddings
         lowercase							=		type_vocab_size
         lowercase							=		initializer_range
         lowercase							=		layer_norm_eps
         lowercase							=		onnx_export






class      __lowercase					(    __UpperCAmelCase    ):

      def __init__(	self				:      Any							,							__lowerCamelCase				:      List[str]							,							__lowerCamelCase				:      List[Any] = "default"							,							__lowerCamelCase				:      Union[str, Any] = None   )							->		Any:


         '''simple docstring'''

         super().__init__(UpperCAmelCase_							,							UpperCAmelCase_							,							UpperCAmelCase_   )
         lowercase							=		True

      @property
      def        __a		(	self				:      Dict   )							->		List[str]:


         '''simple docstring'''

         if self.task == "multiple-choice":
            lowercase							=		{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
         else:
            lowercase							=		{0: '''batch''', 1: '''sequence'''}
         return OrderedDict(
             [
                 ('''input_ids''', dynamic_axis),
                 ('''attention_mask''', dynamic_axis),
                 ('''global_attention_mask''', dynamic_axis),
             ]   )

      @property
      def        __a		(	self				:      Optional[Any]   )							->		List[Any]:


         '''simple docstring'''

         lowercase							=		super().outputs
         if self.task == "default":
            lowercase							=		{0: '''batch'''}
         return outputs

      @property
      def        __a		(	self				:      str   )							->		Optional[Any]:


         '''simple docstring'''

         return 1E-4

      @property
      def        __a		(	self				:      Optional[Any]   )							->		Optional[Any]:


         '''simple docstring'''

         return max(super().default_onnx_opset							,							14   )



      def        __a		(	self				:      Union[str, Any]							,							__lowerCamelCase				:      Union[str, Any]							,							__lowerCamelCase				:      int = -1							,							__lowerCamelCase				:      int = -1							,							__lowerCamelCase				:      Any = False							,							__lowerCamelCase				:      Optional[Any] = None							,							)							->		Optional[int]:


         '''simple docstring'''

         lowercase							=		super().generate_dummy_inputs(
             preprocessor=UpperCAmelCase_							,							batch_size=UpperCAmelCase_							,							seq_length=UpperCAmelCase_							,							is_pair=UpperCAmelCase_							,							framework=UpperCAmelCase_   )
         import torch

         # for some reason, replacing this code by inputs["global_attention_mask"] = torch.randint(2, inputs["input_ids"].shape, dtype=torch.int64)
         # makes the export fail randomly
         lowercase							=		torch.zeros_like(inputs['''input_ids''']   )
         # make every second token global
         lowercase							=		1

         return inputs






import logging

from transformers import PretrainedConfig


A_      =      logging.getLogger(__name__)


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






class      __lowercase					(    _A    ):
						lowercase					 =     'bertabs'

						def __init__(	self				:      Dict							,							__lowerCamelCase				:      Tuple=3_05_22							,							__lowerCamelCase				:      Tuple=5_12							,							__lowerCamelCase				:      List[Any]=6							,							__lowerCamelCase				:      Any=5_12							,							__lowerCamelCase				:      Any=8							,							__lowerCamelCase				:      Union[str, Any]=5_12							,							__lowerCamelCase				:      Tuple=0.2							,							__lowerCamelCase				:      str=6							,							__lowerCamelCase				:      int=7_68							,							__lowerCamelCase				:      int=8							,							__lowerCamelCase				:      List[Any]=20_48							,							__lowerCamelCase				:      Union[str, Any]=0.2							,							**__lowerCamelCase				:      Dict							,							)							->		Dict:


									'''simple docstring'''

									super().__init__(**__lowerCamelCase   )

									lowercase							=		vocab_size
									lowercase							=		max_pos

									lowercase							=		enc_layers
									lowercase							=		enc_hidden_size
									lowercase							=		enc_heads
									lowercase							=		enc_ff_size
									lowercase							=		enc_dropout

									lowercase							=		dec_layers
									lowercase							=		dec_hidden_size
									lowercase							=		dec_heads
									lowercase							=		dec_ff_size
									lowercase							=		dec_dropout





