
import unittest

import numpy as np
import torch

from .utils_summarization import build_mask, compute_token_type_ids, process_story, truncate_or_pad







class     lowercase		( unittest.TestCase		):




							def 			A__				(    self):
												lowercase						     =						1_0




							def 			A__				(    self):
												lowercase						     =						[1, 2, 3, 4]
												lowercase						     =						[1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
												self.assertEqual(truncate_or_pad(A__       ,self.block_size       ,0)       ,A__)




							def 			A__				(    self):
												lowercase						     =						[1, 2, 3, 4, 5, 6, 7, 8, 9, 1_0]
												lowercase						     =						[1, 2, 3, 4, 5, 6, 7, 8, 9, 1_0]
												self.assertEqual(truncate_or_pad(A__       ,self.block_size       ,0)       ,A__)




							def 			A__				(    self):
												lowercase						     =						[1, 2, 3, 4, 5, 6, 7, 8, 9, 1_0, 1_1, 1_2, 1_3]
												lowercase						     =						[1, 2, 3, 4, 5, 6, 7, 8, 9, 1_0]
												self.assertEqual(truncate_or_pad(A__       ,self.block_size       ,0)       ,A__)




							def 			A__				(    self):
												lowercase						     =						'''It was the year of Our Lord one thousand seven hundred and
        seventy-five.\n\nSpiritual revelations were conceded to England at that
        favoured period, as at this.'''
												lowercase     ,						lowercase						     =						process_story(A__)
												self.assertEqual(A__       ,[])




							def 			A__				(    self):
												lowercase						     =						''''''
												lowercase     ,						lowercase						     =						process_story(A__)
												self.assertEqual(A__       ,[])
												self.assertEqual(A__       ,[])




							def 			A__				(    self):
												lowercase						     =						(
												    '''It was the year of Our Lord one thousand seven hundred and '''
												    '''seventy-five\n\nSpiritual revelations were conceded to England '''
												    '''at that favoured period, as at this.\n@highlight\n\nIt was the best of times'''
												)
												lowercase     ,						lowercase						     =						process_story(A__)

												lowercase						     =						[
												    '''It was the year of Our Lord one thousand seven hundred and seventy-five.''',
												    '''Spiritual revelations were conceded to England at that favoured period, as at this.''',
												]
												self.assertEqual(A__       ,A__)

												lowercase						     =						['''It was the best of times.''']
												self.assertEqual(A__       ,A__)




							def 			A__				(    self):
												lowercase						     =						torch.tensor([1, 2, 3, 4])
												lowercase						     =						torch.tensor([1, 1, 1, 1])
												np.testing.assert_array_equal(build_mask(A__       ,0).numpy()       ,expected.numpy())




							def 			A__				(    self):
												lowercase						     =						torch.tensor([1, 2, 3, 4, 2_3, 2_3, 2_3])
												lowercase						     =						torch.tensor([1, 1, 1, 1, 0, 0, 0])
												np.testing.assert_array_equal(build_mask(A__       ,2_3).numpy()       ,expected.numpy())




							def 			A__				(    self):
												lowercase						     =						torch.tensor([8, 2, 3, 4, 1, 1, 1])
												lowercase						     =						torch.tensor([1, 1, 1, 1, 0, 0, 0])
												np.testing.assert_array_equal(build_mask(A__       ,1).numpy()       ,expected.numpy())





							def 			A__				(    self):
												lowercase						     =						1_0_1
												lowercase						     =						torch.tensor([[1, 2, 3, 4, 5, 6], [1, 2, 3, 1_0_1, 5, 6], [1, 1_0_1, 3, 4, 1_0_1, 6]])
												lowercase						     =						torch.tensor([[1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0], [1, 0, 0, 0, 1, 1]])

												lowercase						     =						compute_token_type_ids(A__       ,A__)
												np.testing.assert_array_equal(A__       ,A__)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__		:Dict			  =   {
    "configuration_luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig"],
    "tokenization_luke": ["LukeTokenizer"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase__		:List[str]			  =   [
							    "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "LukeForEntityClassification",
							    "LukeForEntityPairClassification",
							    "LukeForEntitySpanClassification",
							    "LukeForMultipleChoice",
							    "LukeForQuestionAnswering",
							    "LukeForSequenceClassification",
							    "LukeForTokenClassification",
							    "LukeForMaskedLM",
							    "LukeModel",
							    "LukePreTrainedModel",
							]


if TYPE_CHECKING:
							from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
							from .tokenization_luke import LukeTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_luke import (
														    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
														    LukeForEntityClassification,
														    LukeForEntityPairClassification,
														    LukeForEntitySpanClassification,
														    LukeForMaskedLM,
														    LukeForMultipleChoice,
														    LukeForQuestionAnswering,
														    LukeForSequenceClassification,
														    LukeForTokenClassification,
														    LukeModel,
														    LukePreTrainedModel,
														)

else:
							import sys

							lowercase__		:Tuple			  =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




