





import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)

class SCREAMING_SNAKE_CASE_ (					unittest.TestCase   ):





					"""simple docstring"""


					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       ["a", "b", "c"]

										# Defaults to last layer if both are None
										lowerCamelCase__    ,		lowerCamelCase__       =       get_aligned_output_features_output_indices(_lowerCAmelCase	,  _lowerCAmelCase	,  _lowerCAmelCase	)
										self.assertEqual(_lowerCAmelCase	,  ["c"]	)
										self.assertEqual(_lowerCAmelCase	,  [2]	)

										# Out indices set to match out features
										lowerCamelCase__    ,		lowerCamelCase__       =       get_aligned_output_features_output_indices(["a", "c"]	,  _lowerCAmelCase	,  _lowerCAmelCase	)
										self.assertEqual(_lowerCAmelCase	,  ["a", "c"]	)
										self.assertEqual(_lowerCAmelCase	,  [0, 2]	)

										# Out features set to match out indices
										lowerCamelCase__    ,		lowerCamelCase__       =       get_aligned_output_features_output_indices(_lowerCAmelCase	,  [0, 2]	,  _lowerCAmelCase	)
										self.assertEqual(_lowerCAmelCase	,  ["a", "c"]	)
										self.assertEqual(_lowerCAmelCase	,  [0, 2]	)

										# Out features selected from negative indices
										lowerCamelCase__    ,		lowerCamelCase__       =       get_aligned_output_features_output_indices(_lowerCAmelCase	,  [-3, -1]	,  _lowerCAmelCase	)
										self.assertEqual(_lowerCAmelCase	,  ["a", "c"]	)
										self.assertEqual(_lowerCAmelCase	,  [-3, -1]	)





					def 					__magic_name__ ( self	):
										# Stage names must be set
										with self.assertRaises(_lowerCAmelCase	):
															verify_out_features_out_indices(["a", "b"]	,  (0, 1)	,  _lowerCAmelCase	)

										# Out features must be a list
										with self.assertRaises(_lowerCAmelCase	):
															verify_out_features_out_indices(("a", "b")	,  (0, 1)	,  ["a", "b"]	)

										# Out features must be a subset of stage names
										with self.assertRaises(_lowerCAmelCase	):
															verify_out_features_out_indices(["a", "b"]	,  (0, 1)	,  ["a"]	)

										# Out indices must be a list or tuple
										with self.assertRaises(_lowerCAmelCase	):
															verify_out_features_out_indices(_lowerCAmelCase	,  0	,  ["a", "b"]	)

										# Out indices must be a subset of stage names
										with self.assertRaises(_lowerCAmelCase	):
															verify_out_features_out_indices(_lowerCAmelCase	,  (0, 1)	,  ["a"]	)

										# Out features and out indices must be the same length
										with self.assertRaises(_lowerCAmelCase	):
															verify_out_features_out_indices(["a", "b"]	,  (0,)	,  ["a", "b", "c"]	)

										# Out features should match out indices
										with self.assertRaises(_lowerCAmelCase	):
															verify_out_features_out_indices(["a", "b"]	,  (0, 2)	,  ["a", "b", "c"]	)

										# Out features and out indices should be in order
										with self.assertRaises(_lowerCAmelCase	):
															verify_out_features_out_indices(["b", "a"]	,  (0, 1)	,  ["a", "b"]	)

										# Check passes with valid inputs
										verify_out_features_out_indices(["a", "b", "d"]	,  (0, 1, -1)	,  ["a", "b", "c", "d"]	)






					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       BackboneMixin()

										lowerCamelCase__       =       ["a", "b", "c"]
										lowerCamelCase__       =       ["a", "c"]
										lowerCamelCase__       =       [0, 2]

										# Check that the output features and indices are set correctly
										self.assertEqual(backbone.out_features	,  ["a", "c"]	)
										self.assertEqual(backbone.out_indices	,  [0, 2]	)

										# Check out features and indices are updated correctly
										lowerCamelCase__       =       ["a", "b"]
										self.assertEqual(backbone.out_features	,  ["a", "b"]	)
										self.assertEqual(backbone.out_indices	,  [0, 1]	)

										lowerCamelCase__       =       [-3, -1]
										self.assertEqual(backbone.out_features	,  ["a", "c"]	)
										self.assertEqual(backbone.out_indices	,  [-3, -1]	)








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 SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					A__				 =    "longformer"





					def __init__( self	,  _lowerCAmelCase = 512	,  _lowerCAmelCase = 2	,  _lowerCAmelCase = 1	,  _lowerCAmelCase = 0	,  _lowerCAmelCase = 2	,  _lowerCAmelCase = 3_0522	,  _lowerCAmelCase = 768	,  _lowerCAmelCase = 12	,  _lowerCAmelCase = 12	,  _lowerCAmelCase = 3072	,  _lowerCAmelCase = "gelu"	,  _lowerCAmelCase = 0.1	,  _lowerCAmelCase = 0.1	,  _lowerCAmelCase = 512	,  _lowerCAmelCase = 2	,  _lowerCAmelCase = 0.02	,  _lowerCAmelCase = 1E-12	,  _lowerCAmelCase = False	,  **_lowerCAmelCase	,  ):
										super().__init__(pad_token_id=_lowerCAmelCase	,  **_lowerCAmelCase	)

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

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase = "default"	,  _lowerCAmelCase = None	):
										super().__init__(_lowerCAmelCase	,  _lowerCAmelCase	,  _lowerCAmelCase	)
										lowerCamelCase__       =       True





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





					@property
					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       super().outputs
										if self.task == "default":
															lowerCamelCase__       =       {0: "batch"}
										return outputs





					@property
					def 					__magic_name__ ( self	):
										return 1E-4





					@property
					def 					__magic_name__ ( self	):
										# needs to be >= 14 to support tril operator
										return max(super().default_onnx_opset	,  14	)






					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase = -1	,  _lowerCAmelCase = -1	,  _lowerCAmelCase = False	,  _lowerCAmelCase = None	,  ):
										lowerCamelCase__       =       super().generate_dummy_inputs(
										    preprocessor=_lowerCAmelCase	,  batch_size=_lowerCAmelCase	,  seq_length=_lowerCAmelCase	,  is_pair=_lowerCAmelCase	,  framework=_lowerCAmelCase	)
										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
										lowerCamelCase__       =       torch.zeros_like(inputs["input_ids"]	)
										# make every second token global
										lowerCamelCase__       =       1

										return inputs

