



'''simple docstring'''

import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase     		=   get_tests_dir('fixtures/test_sentencepiece_no_bos.model')

@require_sentencepiece
@require_tokenizers
class __snake_case(				SCREAMING_SNAKE_CASE__		,							unittest.TestCase ):


						'''simple docstring'''



						UpperCAmelCase							:   Optional[int]									=		PegasusTokenizer
						UpperCAmelCase							:   Optional[Any]									=		PegasusTokenizerFast
						UpperCAmelCase							:   int									=		True
						UpperCAmelCase							:   List[Any]									=		True


						def     __snake_case   ( self				)     ->     List[str]:
							super().setUp()

							# We have a SentencePiece fixture for testing
							lowerCAmelCase   =     PegasusTokenizer(a_				)
							tokenizer.save_pretrained(self.tmpdirname				)


						@cached_property
						def     __snake_case   ( self				)     ->     Any:
							return PegasusTokenizer.from_pretrained("""google/pegasus-large"""				)


						def     __snake_case   ( self     ,	**A_				)     ->     Dict:
							return PegasusTokenizer.from_pretrained(self.tmpdirname     ,	**a_				)


						def     __snake_case   ( self     ,	A_				)     ->     List[str]:
							return ("This is a test", "This is a test")


						def     __snake_case   ( self				)     ->     Union[str, Any]:
							lowerCAmelCase   =     """</s>"""
							lowerCAmelCase   =     1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(a_				)     ,	a_				)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(a_				)     ,	a_				)


						def     __snake_case   ( self				)     ->     Optional[int]:
							lowerCAmelCase   =     list(self.get_tokenizer().get_vocab().keys()				)

							self.assertEqual(vocab_keys[0]     ,	"""<pad>"""				)
							self.assertEqual(vocab_keys[1]     ,	"""</s>"""				)
							self.assertEqual(vocab_keys[-1]     ,	"""v"""				)
							self.assertEqual(len(a_				)     ,	1103				)


						def     __snake_case   ( self				)     ->     int:
							self.assertEqual(self.get_tokenizer().vocab_size     ,	1103				)


						def     __snake_case   ( self				)     ->     str:
							lowerCAmelCase   =     self.rust_tokenizer_class.from_pretrained(self.tmpdirname				)
							lowerCAmelCase   =     self.tokenizer_class.from_pretrained(self.tmpdirname				)
							lowerCAmelCase   =     (
							    """Let's see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important"""
							    """ </s> <pad> <pad> <pad>"""
							)
							lowerCAmelCase   =     rust_tokenizer([raw_input_str]     ,	return_tensors=a_     ,	add_special_tokens=a_				).input_ids[0]
							lowerCAmelCase   =     py_tokenizer([raw_input_str]     ,	return_tensors=a_     ,	add_special_tokens=a_				).input_ids[0]
							self.assertListEqual(a_     ,	a_				)


						def     __snake_case   ( self				)     ->     Tuple:
							lowerCAmelCase   =     self._large_tokenizer
							# <mask_1> masks whole sentence while <mask_2> masks single word
							lowerCAmelCase   =     """<mask_1> To ensure a <mask_2> flow of bank resolutions."""
							lowerCAmelCase   =     [2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
							lowerCAmelCase   =     tokenizer([raw_input_str]     ,	return_tensors=a_				).input_ids[0]
							self.assertListEqual(a_     ,	a_				)


						def     __snake_case   ( self				)     ->     Optional[Any]:
							lowerCAmelCase   =     self._large_tokenizer
							# The tracebacks for the following asserts are **better** without messages or self.assertEqual
							assert tokenizer.vocab_size == 9_6103
							assert tokenizer.pad_token_id == 0
							assert tokenizer.eos_token_id == 1
							assert tokenizer.offset == 103
							assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
							assert tokenizer.unk_token == "<unk>"
							assert tokenizer.model_max_length == 1024
							lowerCAmelCase   =     """To ensure a smooth flow of bank resolutions."""
							lowerCAmelCase   =     [413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
							lowerCAmelCase   =     tokenizer([raw_input_str]     ,	return_tensors=a_				).input_ids[0]
							self.assertListEqual(a_     ,	a_				)
							assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]				) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]


						@require_torch
						def     __snake_case   ( self				)     ->     str:
							lowerCAmelCase   =     ["""This is going to be way too long.""" * 150, """short example"""]
							lowerCAmelCase   =     ["""not super long but more than 5 tokens""", """tiny"""]
							lowerCAmelCase   =     self._large_tokenizer(a_     ,	padding=a_     ,	truncation=a_     ,	return_tensors="""pt"""				)
							lowerCAmelCase   =     self._large_tokenizer(
							    text_target=a_     ,	max_length=5     ,	padding=a_     ,	truncation=a_     ,	return_tensors="""pt"""				)

							assert batch.input_ids.shape == (2, 1024)
							assert batch.attention_mask.shape == (2, 1024)
							assert targets["input_ids"].shape == (2, 5)
							assert len(a_				) == 2  # input_ids, attention_mask.




						@slow
						def     __snake_case   ( self				)     ->     str:
							lowerCAmelCase   =     {"""input_ids""": [[3_8979, 143, 1_8485, 606, 130, 2_6669, 8_7686, 121, 5_4189, 1129, 111, 2_6669, 8_7686, 121, 9114, 1_4787, 121, 1_3249, 158, 592, 956, 121, 1_4621, 3_1576, 143, 6_2613, 108, 9688, 930, 4_3430, 1_1562, 6_2613, 304, 108, 1_1443, 897, 108, 9314, 1_7415, 6_3399, 108, 1_1443, 7614, 1_8316, 118, 4284, 7148, 1_2430, 143, 1400, 2_5703, 158, 111, 4284, 7148, 1_1772, 143, 2_1297, 1064, 158, 122, 204, 3506, 1754, 1133, 1_4787, 1581, 115, 3_3224, 4482, 111, 1355, 110, 2_9173, 317, 5_0833, 108, 2_0147, 9_4665, 111, 7_7198, 107, 1], [110, 6_2613, 117, 638, 112, 1133, 121, 2_0098, 1355, 7_9050, 1_3872, 135, 1596, 5_3541, 1352, 141, 1_3039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [139, 1235, 2799, 1_8289, 1_7780, 204, 109, 9474, 1296, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=a_     ,	model_name="""google/bigbird-pegasus-large-arxiv"""     ,	revision="""ba85d0851d708441f91440d509690f1ab6353415"""     ,	)







@require_sentencepiece
@require_tokenizers
class __snake_case(				SCREAMING_SNAKE_CASE__		,							unittest.TestCase ):


						'''simple docstring'''



						UpperCAmelCase							:   Optional[int]									=		PegasusTokenizer
						UpperCAmelCase							:   List[str]									=		PegasusTokenizerFast
						UpperCAmelCase							:   List[Any]									=		True
						UpperCAmelCase							:   Union[str, Any]									=		True


						def     __snake_case   ( self				)     ->     Optional[int]:
							super().setUp()

							# We have a SentencePiece fixture for testing
							lowerCAmelCase   =     PegasusTokenizer(a_     ,	offset=0     ,	mask_token_sent=a_     ,	mask_token="""[MASK]"""				)
							tokenizer.save_pretrained(self.tmpdirname				)


						@cached_property
						def     __snake_case   ( self				)     ->     Union[str, Any]:
							return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv"""				)


						def     __snake_case   ( self     ,	**A_				)     ->     str:
							return PegasusTokenizer.from_pretrained(self.tmpdirname     ,	**a_				)


						def     __snake_case   ( self     ,	A_				)     ->     Any:
							return ("This is a test", "This is a test")


						def     __snake_case   ( self				)     ->     List[str]:
							lowerCAmelCase   =     self.rust_tokenizer_class.from_pretrained(self.tmpdirname				)
							lowerCAmelCase   =     self.tokenizer_class.from_pretrained(self.tmpdirname				)
							lowerCAmelCase   =     (
							    """Let's see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>"""
							    """ <pad> <pad> <pad>"""
							)
							lowerCAmelCase   =     rust_tokenizer([raw_input_str]     ,	return_tensors=a_     ,	add_special_tokens=a_				).input_ids[0]
							lowerCAmelCase   =     py_tokenizer([raw_input_str]     ,	return_tensors=a_     ,	add_special_tokens=a_				).input_ids[0]
							self.assertListEqual(a_     ,	a_				)


						@require_torch
						def     __snake_case   ( self				)     ->     Optional[int]:
							lowerCAmelCase   =     ["""This is going to be way too long.""" * 1000, """short example"""]
							lowerCAmelCase   =     ["""not super long but more than 5 tokens""", """tiny"""]
							lowerCAmelCase   =     self._large_tokenizer(a_     ,	padding=a_     ,	truncation=a_     ,	return_tensors="""pt"""				)
							lowerCAmelCase   =     self._large_tokenizer(
							    text_target=a_     ,	max_length=5     ,	padding=a_     ,	truncation=a_     ,	return_tensors="""pt"""				)

							assert batch.input_ids.shape == (2, 4096)
							assert batch.attention_mask.shape == (2, 4096)
							assert targets["input_ids"].shape == (2, 5)
							assert len(a_				) == 2  # input_ids, attention_mask.




						def     __snake_case   ( self				)     ->     Union[str, Any]:
							lowerCAmelCase   =     (
							    """This is an example string that is used to test the original TF implementation against the HF"""
							    """ implementation"""
							)

							lowerCAmelCase   =     self._large_tokenizer(a_				).input_ids

							self.assertListEqual(
							    a_     ,	[182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 2_5016, 3137, 464, 109, 2_6955, 3137, 1]     ,	)




'''simple docstring'''

class __snake_case:


						'''simple docstring'''



						def __init__( self				)     ->     None:
							lowerCAmelCase   =     {}  # Mapping from char to TrieNode
							lowerCAmelCase   =     False


						def     __snake_case   ( self     ,	A_				)     ->     None:
							for word in words:
								self.insert(A_				)


						def     __snake_case   ( self     ,	A_				)     ->     None:
							lowerCAmelCase   =     self
							for char in word:
								if char not in curr.nodes:
									lowerCAmelCase   =     TrieNode()
								lowerCAmelCase   =     curr.nodes[char]
							lowerCAmelCase   =     True


						def     __snake_case   ( self     ,	A_				)     ->     bool:
							lowerCAmelCase   =     self
							for char in word:
								if char not in curr.nodes:
									return False
								lowerCAmelCase   =     curr.nodes[char]
							return curr.is_leaf




						def     __snake_case   ( self     ,	A_				)     ->     None:

							def _delete(A_     ,	A_     ,	A_				) -> bool:
								if index == len(A_				):
									# If word does not exist
									if not curr.is_leaf:
										return False
									lowerCAmelCase   =     False
									return len(curr.nodes				) == 0
								lowerCAmelCase   =     word[index]
								lowerCAmelCase   =     curr.nodes.get(A_				)
								# If char not in current trie node
								if not char_node:
									return False
								# Flag to check if node can be deleted
								lowerCAmelCase   =     _delete(A_     ,	A_     ,	index + 1				)
								if delete_curr:
									del curr.nodes[char]
									return len(curr.nodes				) == 0
								return delete_curr

							_delete(self     ,	A_     ,	0				)







def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						TrieNode							,		_SCREAMING_SNAKE_CASE					:						str							)      ->						None:







	"""simple docstring"""
	if node.is_leaf:
		print(_SCREAMING_SNAKE_CASE							,		end=""" """							)

	for key, value in node.nodes.items():
		print_words(_SCREAMING_SNAKE_CASE							,		word + key							)






def 		_snake_case		( )      ->						bool:







	"""simple docstring"""
	lowerCAmelCase   =     """banana bananas bandana band apple all beast""".split()
	lowerCAmelCase   =     TrieNode()
	root.insert_many(_SCREAMING_SNAKE_CASE							)
	# print_words(root, "")
	assert all(root.find(_SCREAMING_SNAKE_CASE							) for word in words							)
	assert root.find("""banana"""							)
	assert not root.find("""bandanas"""							)
	assert not root.find("""apps"""							)
	assert root.find("""apple"""							)
	assert root.find("""all"""							)
	root.delete("""all"""							)
	assert not root.find("""all"""							)
	root.delete("""banana"""							)
	assert not root.find("""banana"""							)
	assert root.find("""bananas"""							)
	return True






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						str							,		_SCREAMING_SNAKE_CASE					:						bool							)      ->						None:







	"""simple docstring"""
	print(str(_SCREAMING_SNAKE_CASE							)							,		"""works!""" if passes else """doesn't work :("""							)






def 		_snake_case		( )      ->						None:







	"""simple docstring"""
	assert test_trie()






def 		_snake_case		( )      ->						None:







	"""simple docstring"""
	print_results("""Testing trie functionality"""							,		test_trie()							)


if __name__ == "__main__":
				main()