
'''simple docstring'''
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


lowercase__						       =      logging.get_logger(__name__)

lowercase__						       =      {
    "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 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						"""longformer"""



		def __init__(      self				:			Union[str, Any]  ,	UpperCamelCase__				:			Union[List[int], int] = 512  ,	UpperCamelCase__				:			int = 2  ,	UpperCamelCase__				:			int = 1  ,	UpperCamelCase__				:			int = 0  ,	UpperCamelCase__				:			int = 2  ,	UpperCamelCase__				:			int = 3_0522  ,	UpperCamelCase__				:			int = 768  ,	UpperCamelCase__				:			int = 12  ,	UpperCamelCase__				:			int = 12  ,	UpperCamelCase__				:			int = 3072  ,	UpperCamelCase__				:			str = "gelu"  ,	UpperCamelCase__				:			float = 0.1  ,	UpperCamelCase__				:			float = 0.1  ,	UpperCamelCase__				:			int = 512  ,	UpperCamelCase__				:			int = 2  ,	UpperCamelCase__				:			float = 0.02  ,	UpperCamelCase__				:			float = 1e-1_2  ,	UpperCamelCase__				:			bool = False  ,	**UpperCamelCase__				:			Any  ,	)						->			List[Any]:






				"""simple docstring"""







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

				snake_case  :       Optional[Any]     			=						attention_window
				snake_case  :       List[Any]     			=						sep_token_id
				snake_case  :       str     			=						bos_token_id
				snake_case  :       Dict     			=						eos_token_id
				snake_case  :       List[Any]     			=						vocab_size
				snake_case  :       Any     			=						hidden_size
				snake_case  :       Any     			=						num_hidden_layers
				snake_case  :       Union[str, Any]     			=						num_attention_heads
				snake_case  :       Optional[int]     			=						hidden_act
				snake_case  :       List[Any]     			=						intermediate_size
				snake_case  :       List[Any]     			=						hidden_dropout_prob
				snake_case  :       int     			=						attention_probs_dropout_prob
				snake_case  :       List[str]     			=						max_position_embeddings
				snake_case  :       Optional[Any]     			=						type_vocab_size
				snake_case  :       Optional[Any]     			=						initializer_range
				snake_case  :       Dict     			=						layer_norm_eps
				snake_case  :       Dict     			=						onnx_export







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		def __init__(      self				:			Any  ,	UpperCamelCase__				:			"PretrainedConfig"  ,	UpperCamelCase__				:			str = "default"  ,	UpperCamelCase__				:			"List[PatchingSpec]" = None      )						->			int:






				"""simple docstring"""







				super().__init__(UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__      )
				snake_case  :       List[str]     			=						True



		@property
		def       lowerCAmelCase				(      self				:			List[str]      )						->			Mapping[str, Mapping[int, str]]:






				"""simple docstring"""







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



		@property
		def       lowerCAmelCase				(      self				:			Optional[int]      )						->			Mapping[str, Mapping[int, str]]:






				"""simple docstring"""







				snake_case  :       Optional[int]     			=						super().outputs
				if self.task == "default":
						snake_case  :       Optional[Any]     			=						{0: '''batch'''}
				return outputs



		@property
		def       lowerCAmelCase				(      self				:			Union[str, Any]      )						->			float:






				"""simple docstring"""







				return 1e-4



		@property
		def       lowerCAmelCase				(      self				:			List[str]      )						->			int:






				"""simple docstring"""







				return max(super().default_onnx_opset  ,	14      )



		def       lowerCAmelCase				(      self				:			Optional[Any]  ,	UpperCamelCase__				:			"PreTrainedTokenizerBase"  ,	UpperCamelCase__				:			int = -1  ,	UpperCamelCase__				:			int = -1  ,	UpperCamelCase__				:			bool = False  ,	UpperCamelCase__				:			Optional[TensorType] = None  ,	)						->			Mapping[str, Any]:






				"""simple docstring"""







				snake_case  :       Optional[Any]     			=						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
				snake_case  :       List[str]     			=						torch.zeros_like(inputs['''input_ids''']      )
				# make every second token global
				snake_case  :       Optional[Any]     			=						1

				return inputs




'''simple docstring'''
import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


lowercase__						       =      logging.get_logger(__name__)






class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		def __init__(      self				:			Optional[Any]  ,	*UpperCamelCase__				:			Optional[Any]  ,	**UpperCamelCase__				:			str      )						->			None:






				"""simple docstring"""







				warnings.warn(
				    '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use GLPNImageProcessor instead.'''  ,	UpperCamelCase__  ,	)
				super().__init__(*UpperCamelCase__  ,	**UpperCamelCase__      )


