



import json
import os
import unittest

from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 				A_      (					SCREAMING_SNAKE_CASE_     ,       unittest.TestCase    ):



						"""simple docstring"""
						__UpperCamelCase		    =							LEDTokenizer
						__UpperCamelCase		    =							LEDTokenizerFast
						__UpperCamelCase		    =							True






						def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      Any:
												super().setUp()
												UpperCAmelCase					=			[
												    'l',
												    'o',
												    'w',
												    'e',
												    'r',
												    's',
												    't',
												    'i',
												    'd',
												    'n',
												    '\u0120',
												    '\u0120l',
												    '\u0120n',
												    '\u0120lo',
												    '\u0120low',
												    'er',
												    '\u0120lowest',
												    '\u0120newer',
												    '\u0120wider',
												    '<unk>',
												]
												UpperCAmelCase					=			dict(zip(lowercase_       ,  range(len(lowercase_ ) ) ) )
												UpperCAmelCase					=			['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
												UpperCAmelCase					=			{'unk_token': '<unk>'}

												UpperCAmelCase					=			os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['vocab_file'] )
												UpperCAmelCase					=			os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['merges_file'] )
												with open(self.vocab_file       ,  'w'       ,  encoding='utf-8' ) as fp:
																		fp.write(json.dumps(lowercase_ ) + '\n' )
												with open(self.merges_file       ,  'w'       ,  encoding='utf-8' ) as fp:
																		fp.write('\n'.join(lowercase_ ) )






						def      UpperCAmelCase__					( self			:List[Any]       ,  **lowercase_			:List[Any] )    ->      str:
												kwargs.update(self.special_tokens_map )
												return self.tokenizer_class.from_pretrained(self.tmpdirname       ,  **lowercase_ )






						def      UpperCAmelCase__					( self			:Optional[Any]       ,  **lowercase_			:str )    ->      Union[str, Any]:
												kwargs.update(self.special_tokens_map )
												return self.rust_tokenizer_class.from_pretrained(self.tmpdirname       ,  **lowercase_ )






						def      UpperCAmelCase__					( self			:Optional[Any]       ,  lowercase_			:str )    ->      List[Any]:
												return "lower newer", "lower newer"






						@cached_property
						def      UpperCAmelCase__					( self			:Tuple )    ->      List[Any]:
												return LEDTokenizer.from_pretrained('allenai/led-base-16384' )






						@cached_property
						def      UpperCAmelCase__					( self			:int )    ->      Optional[int]:
												return LEDTokenizerFast.from_pretrained('allenai/led-base-16384' )






						@require_torch
						def      UpperCAmelCase__					( self			:Tuple )    ->      Optional[int]:
												UpperCAmelCase					=			['A long paragraph for summarization.', 'Another paragraph for summarization.']
												UpperCAmelCase					=			[0, 2_50, 2_51, 1_78_18, 13, 3_91_86, 19_38, 4, 2]

												for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		UpperCAmelCase					=			tokenizer(lowercase_       ,  max_length=len(lowercase_ )       ,  padding=lowercase_       ,  return_tensors='pt' )
																		self.assertIsInstance(lowercase_       ,  lowercase_ )

																		self.assertEqual((2, 9)       ,  batch.input_ids.shape )
																		self.assertEqual((2, 9)       ,  batch.attention_mask.shape )
																		UpperCAmelCase					=			batch.input_ids.tolist()[0]
																		self.assertListEqual(lowercase_       ,  lowercase_ )






						@require_torch
						def      UpperCAmelCase__					( self			:str )    ->      List[str]:
												UpperCAmelCase					=			['A long paragraph for summarization.', 'Another paragraph for summarization.']
												for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		UpperCAmelCase					=			tokenizer(lowercase_       ,  padding=lowercase_       ,  return_tensors='pt' )
																		self.assertIn('input_ids'       ,  lowercase_ )
																		self.assertIn('attention_mask'       ,  lowercase_ )
																		self.assertNotIn('labels'       ,  lowercase_ )
																		self.assertNotIn('decoder_attention_mask'       ,  lowercase_ )






						@require_torch
						def      UpperCAmelCase__					( self			:Tuple )    ->      List[str]:
												UpperCAmelCase					=			[
												    'Summary of the text.',
												    'Another summary.',
												]
												for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		UpperCAmelCase					=			tokenizer(text_target=lowercase_       ,  max_length=32       ,  padding='max_length'       ,  return_tensors='pt' )
																		self.assertEqual(32       ,  targets['input_ids'].shape[1] )






						@require_torch
						def      UpperCAmelCase__					( self			:Optional[Any] )    ->      Tuple:
												for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		UpperCAmelCase					=			tokenizer(
																		    ['I am a small frog' * 10_24, 'I am a small frog']       ,  padding=lowercase_       ,  truncation=lowercase_       ,  return_tensors='pt' )
																		self.assertIsInstance(lowercase_       ,  lowercase_ )
																		self.assertEqual(batch.input_ids.shape       ,  (2, 51_22) )






						@require_torch
						def      UpperCAmelCase__					( self			:List[Any] )    ->      Tuple:
												UpperCAmelCase					=			['A long paragraph for summarization.']
												UpperCAmelCase					=			[
												    'Summary of the text.',
												]
												for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		UpperCAmelCase					=			tokenizer(lowercase_       ,  return_tensors='pt' )
																		UpperCAmelCase					=			tokenizer(text_target=lowercase_       ,  return_tensors='pt' )
																		UpperCAmelCase					=			inputs['input_ids']
																		UpperCAmelCase					=			targets['input_ids']
																		self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item() )
																		self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item() )
																		self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item() )
																		self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item() )






						@require_torch
						def      UpperCAmelCase__					( self			:Optional[int] )    ->      Any:
												for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		UpperCAmelCase					=			['Summary of the text.', 'Another summary.']
																		UpperCAmelCase					=			[[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, -1]]

																		UpperCAmelCase					=			tokenizer(lowercase_       ,  padding=lowercase_ )
																		UpperCAmelCase					=			[[0] * len(lowercase_ ) for x in encoded_output['input_ids']]
																		UpperCAmelCase					=			tokenizer.pad(lowercase_ )
																		self.assertSequenceEqual(outputs['global_attention_mask']       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      Any:
												pass






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      int:
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
																								UpperCAmelCase					=			self.rust_tokenizer_class.from_pretrained(lowercase_       ,  **lowercase_ )
																								UpperCAmelCase					=			self.tokenizer_class.from_pretrained(lowercase_       ,  **lowercase_ )
																								UpperCAmelCase					=			'A, <mask> AllenNLP sentence.'
																								UpperCAmelCase					=			tokenizer_r.encode_plus(lowercase_       ,  add_special_tokens=lowercase_       ,  return_token_type_ids=lowercase_ )
																								UpperCAmelCase					=			tokenizer_p.encode_plus(lowercase_       ,  add_special_tokens=lowercase_       ,  return_token_type_ids=lowercase_ )
																								self.assertEqual(sum(tokens_r['token_type_ids'] )       ,  sum(tokens_p['token_type_ids'] ) )
																								self.assertEqual(
																								    sum(tokens_r['attention_mask'] ) / len(tokens_r['attention_mask'] )       ,  sum(tokens_p['attention_mask'] ) / len(tokens_p['attention_mask'] )       ,  )

																								UpperCAmelCase					=			tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids'] )
																								UpperCAmelCase					=			tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids'] )
																								self.assertSequenceEqual(tokens_p['input_ids']       ,  [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2] )
																								self.assertSequenceEqual(tokens_r['input_ids']       ,  [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2] )

																								self.assertSequenceEqual(
																								    lowercase_       ,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'] )
																								self.assertSequenceEqual(
																								    lowercase_       ,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'] )










"""simple docstring"""


def 			_lowerCAmelCase				(       lowercase_						):

						if not isinstance(lowercase_		,     lowercase_						):
												UpperCAmelCase					=			F"""Input value of [number={number}] must be an integer"""
												raise TypeError(lowercase_						)

						if number < 1:
												UpperCAmelCase					=			F"""Input value of [number={number}] must be > 0"""
												raise ValueError(lowercase_						)

						UpperCAmelCase					=			1

						for i in range(1		,     lowercase_						):
												current_number *= 4 * i - 2
												current_number //= i + 1

						return current_number


if __name__ == "__main__":
				import doctest

				doctest.testmod()





