




"""simple docstring"""







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 				snake_case_			(					lowerCamelCase_	, unittest.TestCase			):







   """simple docstring"""




   A_				      =       LEDTokenizer
   A_				      =       LEDTokenizerFast
   A_				      =       True







   def   UpperCAmelCase__			(		self)				->   int:
       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(lowerCamelCase_       ,					range(len(lowerCamelCase_))))
       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(lowerCamelCase_) + '''\n''')
       with open(self.merges_file       ,					'''w'''       ,					encoding='''utf-8''') as fp:
           fp.write('''\n'''.join(lowerCamelCase_))







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







   def   UpperCAmelCase__			(		self       ,					**lowerCamelCase_)				->   Optional[int]:
       kwargs.update(self.special_tokens_map)
       return self.rust_tokenizer_class.from_pretrained(self.tmpdirname       ,					**lowerCamelCase_)







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_)				->   Tuple:
       return "lower newer", "lower newer"







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







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







   @require_torch
   def   UpperCAmelCase__			(		self)				->   str:
       UpperCamelCase              =	['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       UpperCamelCase              =	[0, 2_5_0, 2_5_1, 1_7_8_1_8, 1_3, 3_9_1_8_6, 1_9_3_8, 4, 2]

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

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







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







   @require_torch
   def   UpperCAmelCase__			(		self)				->   Union[str, Any]:
       UpperCamelCase              =	[
           '''Summary of the text.''',
           '''Another summary.''',
       ]
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           UpperCamelCase              =	tokenizer(text_target=lowerCamelCase_       ,					max_length=3_2       ,					padding='''max_length'''       ,					return_tensors='''pt''')
           self.assertEqual(3_2       ,					targets['''input_ids'''].shape[1])







   @require_torch
   def   UpperCAmelCase__			(		self)				->   Union[str, Any]:
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           UpperCamelCase              =	tokenizer(
               ['''I am a small frog''' * 1_0_2_4, '''I am a small frog''']       ,					padding=lowerCamelCase_       ,					truncation=lowerCamelCase_       ,					return_tensors='''pt''')
           self.assertIsInstance(lowerCamelCase_       ,					lowerCamelCase_)
           self.assertEqual(batch.input_ids.shape       ,					(2, 5_1_2_2))







   @require_torch
   def   UpperCAmelCase__			(		self)				->   List[str]:
       UpperCamelCase              =	['''A long paragraph for summarization.''']
       UpperCamelCase              =	[
           '''Summary of the text.''',
       ]
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           UpperCamelCase              =	tokenizer(lowerCamelCase_       ,					return_tensors='''pt''')
           UpperCamelCase              =	tokenizer(text_target=lowerCamelCase_       ,					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)				->   Dict:
       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(lowerCamelCase_       ,					padding=lowerCamelCase_)
           UpperCamelCase              =	[[0] * len(lowerCamelCase_) for x in encoded_output['''input_ids''']]
           UpperCamelCase              =	tokenizer.pad(lowerCamelCase_)
           self.assertSequenceEqual(outputs['''global_attention_mask''']       ,					lowerCamelCase_)







   def   UpperCAmelCase__			(		self)				->   Tuple:
       pass







   def   UpperCAmelCase__			(		self)				->   Any:
       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(lowerCamelCase_       ,					**lowerCamelCase_)
               UpperCamelCase              =	self.tokenizer_class.from_pretrained(lowerCamelCase_       ,					**lowerCamelCase_)
               UpperCamelCase              =	'''A, <mask> AllenNLP sentence.'''
               UpperCamelCase              =	tokenizer_r.encode_plus(lowerCamelCase_       ,					add_special_tokens=lowerCamelCase_       ,					return_token_type_ids=lowerCamelCase_)
               UpperCamelCase              =	tokenizer_p.encode_plus(lowerCamelCase_       ,					add_special_tokens=lowerCamelCase_       ,					return_token_type_ids=lowerCamelCase_)
               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_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2])
               self.assertSequenceEqual(tokens_r['''input_ids''']       ,					[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2])

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







"""simple docstring"""
class   SCREAMING_SNAKE_CASE	:





	"""simple docstring"""




	def __init__(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_=None  ,  lowerCAmelCase_=None				):
		A_		:    Dict						     = data
		A_		:    Dict						     = previous
		A_		:    int						     = next_node





	def __str__(self				):
		return f"""{self.data}"""





	def  lowerCamelCase(self				):
		return self.data





	def  lowerCamelCase(self				):
		return self.next





	def  lowerCamelCase(self				):
		return self.previous






class   SCREAMING_SNAKE_CASE	:





	"""simple docstring"""




	def __init__(self  ,  lowerCAmelCase_				):
		A_		:    Optional[Any]						     = head





	def __iter__(self				):
		return self





	def  lowerCamelCase(self				):
		if not self.current:
			raise StopIteration
		else:
			A_		:    str						     = self.current.get_data()
			A_		:    List[str]						     = self.current.get_next()
			return value






class   SCREAMING_SNAKE_CASE	:





	"""simple docstring"""




	def __init__(self				):
		A_		:    str						     = None  # First node in list
		A_		:    Tuple						     = None  # Last node in list





	def __str__(self				):
		A_		:    int						     = self.head
		A_		:    str						     = []
		while current is not None:
			nodes.append(current.get_data()				)
			A_		:    Any						     = current.get_next()
		return " ".join(str(lowerCAmelCase_				) for node in nodes				)





	def __contains__(self  ,  lowerCAmelCase_				):
		A_		:    Union[str, Any]						     = self.head
		while current:
			if current.get_data() == value:
				return True
			A_		:    Union[str, Any]						     = current.get_next()
		return False





	def __iter__(self				):
		return LinkedListIterator(self.head				)





	def  lowerCamelCase(self				):
		if self.head:
			return self.head.get_data()
		return None





	def  lowerCamelCase(self				):
		if self.tail:
			return self.tail.get_data()
		return None





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		if self.head is None:
			A_		:    str						     = node
			A_		:    Optional[int]						     = node
		else:
			self.insert_before_node(self.head  ,  lowerCAmelCase_				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		if self.head is None:
			self.set_head(lowerCAmelCase_				)
		else:
			self.insert_after_node(self.tail  ,  lowerCAmelCase_				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		A_		:    List[Any]						     = Node(lowerCAmelCase_				)
		if self.head is None:
			self.set_head(lowerCAmelCase_				)
		else:
			self.set_tail(lowerCAmelCase_				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_				):
		A_		:    str						     = node
		A_		:    Union[str, Any]						     = node.previous

		if node.get_previous() is None:
			A_		:    Dict						     = node_to_insert
		else:
			A_		:    Optional[Any]						     = node_to_insert

		A_		:    Any						     = node_to_insert





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_				):
		A_		:    Dict						     = node
		A_		:    Optional[Any]						     = node.next

		if node.get_next() is None:
			A_		:    Optional[int]						     = node_to_insert
		else:
			A_		:    List[Any]						     = node_to_insert

		A_		:    Optional[Any]						     = node_to_insert





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_				):
		A_		:    str						     = 1
		A_		:    Tuple						     = Node(lowerCAmelCase_				)
		A_		:    Dict						     = self.head
		while node:
			if current_position == position:
				self.insert_before_node(lowerCAmelCase_  ,  lowerCAmelCase_				)
				return
			current_position += 1
			A_		:    List[str]						     = node.next
		self.insert_after_node(self.tail  ,  lowerCAmelCase_				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		A_		:    Dict						     = self.head
		while node:
			if node.get_data() == item:
				return node
			A_		:    Optional[int]						     = node.get_next()
		raise Exception("""Node not found"""				)





	def  lowerCamelCase(self  ,  lowerCAmelCase_				):
		if (node := self.get_node(lowerCAmelCase_				)) is not None:
			if node == self.head:
				A_		:    Tuple						     = self.head.get_next()

			if node == self.tail:
				A_		:    Dict						     = self.tail.get_previous()

			self.remove_node_pointers(lowerCAmelCase_				)





	@staticmethod
	def  lowerCamelCase(lowerCAmelCase_				):
		if node.get_next():
			A_		:    Any						     = node.previous

		if node.get_previous():
			A_		:    int						     = node.next

		A_		:    str						     = None
		A_		:    int						     = None





	def  lowerCamelCase(self				):
		return self.head is None






def       __UpperCamelCase						(		):
	pass


if __name__ == "__main__":
							import doctest

							doctest.testmod()

