import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
	from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


lowercase__			:				Union[str, Any]		=	get_tests_dir('''fixtures/test_sentencepiece.model''')

lowercase__			:				int		=	{'''target_lang''': '''fi''', '''source_lang''': '''en'''}
lowercase__			:				Dict		=	'''>>zh<<'''
lowercase__			:				Optional[Any]		=	'''Helsinki-NLP/'''

if is_torch_available():
	lowercase__			:				Optional[int]		=	'''pt'''
elif is_tf_available():
	lowercase__			:				int		=	'''tf'''
else:
	lowercase__			:				Optional[Any]		=	'''jax'''




@require_sentencepiece
class    lowercase_  (  UpperCAmelCase__      ,     unittest.TestCase						):



	"""simple docstring"""





	UpperCAmelCase_  :					int   =				MarianTokenizer
	UpperCAmelCase_  :					str   =				False
	UpperCAmelCase_  :					int   =				True


	def 			SCREAMING_SNAKE_CASE_				(							self				)						->Any:
								super().setUp()
								lowerCAmelCase			=		["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
								lowerCAmelCase			=		dict(zip(__SCREAMING_SNAKE_CASE		,			range(len(__SCREAMING_SNAKE_CASE				)				)				)				)
								lowerCAmelCase			=		Path(self.tmpdirname				)
								save_json(__SCREAMING_SNAKE_CASE		,			save_dir / VOCAB_FILES_NAMES['''vocab''']				)
								save_json(__SCREAMING_SNAKE_CASE		,			save_dir / VOCAB_FILES_NAMES['''tokenizer_config_file''']				)
								if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
															copyfile(__SCREAMING_SNAKE_CASE		,			save_dir / VOCAB_FILES_NAMES['''source_spm''']				)
															copyfile(__SCREAMING_SNAKE_CASE		,			save_dir / VOCAB_FILES_NAMES['''target_spm''']				)

								lowerCAmelCase			=		MarianTokenizer.from_pretrained(self.tmpdirname				)
								tokenizer.save_pretrained(self.tmpdirname				)


	def 			SCREAMING_SNAKE_CASE_				(							self		,			**__SCREAMING_SNAKE_CASE				)						->MarianTokenizer:
								return MarianTokenizer.from_pretrained(self.tmpdirname		,			**__SCREAMING_SNAKE_CASE				)


	def 			SCREAMING_SNAKE_CASE_				(							self		,			__SCREAMING_SNAKE_CASE				)						->Any:
								return (
								    "This is a test",
								    "This is a test",
								)


	def 			SCREAMING_SNAKE_CASE_				(							self				)						->Dict:
								lowerCAmelCase			=		"""</s>"""
								lowerCAmelCase			=		0

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


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

								self.assertEqual(vocab_keys[0]		,			'''</s>'''				)
								self.assertEqual(vocab_keys[1]		,			'''<unk>'''				)
								self.assertEqual(vocab_keys[-1]		,			'''<pad>'''				)
								self.assertEqual(len(__SCREAMING_SNAKE_CASE				)		,			9				)


	def 			SCREAMING_SNAKE_CASE_				(							self				)						->Dict:
								self.assertEqual(self.get_tokenizer().vocab_size		,			9				)


	def 			SCREAMING_SNAKE_CASE_				(							self				)						->Optional[int]:
								lowerCAmelCase			=		MarianTokenizer.from_pretrained(F"{ORG_NAME}opus-mt-en-de"				)
								lowerCAmelCase			=		en_de_tokenizer(['''I am a small frog''']		,			return_tensors=__SCREAMING_SNAKE_CASE				)
								self.assertIsInstance(__SCREAMING_SNAKE_CASE		,			__SCREAMING_SNAKE_CASE				)
								lowerCAmelCase			=		[38, 121, 14, 697, 38848, 0]
								self.assertListEqual(__SCREAMING_SNAKE_CASE		,			batch.input_ids[0]				)

								lowerCAmelCase			=		tempfile.mkdtemp()
								en_de_tokenizer.save_pretrained(__SCREAMING_SNAKE_CASE				)
								lowerCAmelCase			=		[x.name for x in Path(__SCREAMING_SNAKE_CASE				).glob('''*'''				)]
								self.assertIn('''source.spm'''		,			__SCREAMING_SNAKE_CASE				)
								MarianTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE				)


	def 			SCREAMING_SNAKE_CASE_				(							self				)						->str:
								lowerCAmelCase			=		self.get_tokenizer()

								lowerCAmelCase			=		tok(
								    ['''I am a small frog''' * 1000, '''I am a small frog''']		,			padding=__SCREAMING_SNAKE_CASE		,			truncation=__SCREAMING_SNAKE_CASE		,			return_tensors=__SCREAMING_SNAKE_CASE				)
								self.assertIsInstance(__SCREAMING_SNAKE_CASE		,			__SCREAMING_SNAKE_CASE				)
								self.assertEqual(batch.input_ids.shape		,			(2, 512)				)


	def 			SCREAMING_SNAKE_CASE_				(							self				)						->int:
								lowerCAmelCase			=		self.get_tokenizer()
								lowerCAmelCase			=		tok(['''I am a tiny frog''', '''I am a small frog''']		,			padding=__SCREAMING_SNAKE_CASE		,			return_tensors=__SCREAMING_SNAKE_CASE				)
								self.assertIsInstance(__SCREAMING_SNAKE_CASE		,			__SCREAMING_SNAKE_CASE				)
								self.assertEqual(batch_smaller.input_ids.shape		,			(2, 10)				)


	@slow
	def 			SCREAMING_SNAKE_CASE_				(							self				)						->Optional[Any]:
								lowerCAmelCase			=		{"""input_ids""": [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], """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, 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, 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, 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, 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=__SCREAMING_SNAKE_CASE		,			model_name='''Helsinki-NLP/opus-mt-en-de'''		,			revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''		,			decode_kwargs={'''use_source_tokenizer''': True}		,			)




	def 			SCREAMING_SNAKE_CASE_				(							self				)						->str:
								lowerCAmelCase			=		MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''				)

								lowerCAmelCase			=		"""Tämä on testi"""
								lowerCAmelCase			=		"""This is a test"""

								lowerCAmelCase			=		[76, 7, 2047, 2]
								lowerCAmelCase			=		[69, 12, 11, 940, 2]

								lowerCAmelCase			=		tokenizer(__SCREAMING_SNAKE_CASE				).input_ids
								self.assertListEqual(__SCREAMING_SNAKE_CASE		,			__SCREAMING_SNAKE_CASE				)

								lowerCAmelCase			=		tokenizer(text_target=__SCREAMING_SNAKE_CASE				).input_ids
								self.assertListEqual(__SCREAMING_SNAKE_CASE		,			__SCREAMING_SNAKE_CASE				)

								lowerCAmelCase			=		tokenizer.decode(__SCREAMING_SNAKE_CASE		,			skip_special_tokens=__SCREAMING_SNAKE_CASE				)
								self.assertEqual(__SCREAMING_SNAKE_CASE		,			__SCREAMING_SNAKE_CASE				)







'''simple docstring'''







class A__       :






      def __init__( self			:List[Any]	)       ->					None:




             '''simple docstring'''
             _a    : dict[str, TrieNode]     					={}  # Mapping from char to TrieNode
             _a    : List[str]     					=False






      def __UpperCAmelCase       ( self			:Tuple     ,						SCREAMING_SNAKE_CASE			:list[str]	)       ->					None:




             '''simple docstring'''
             for word in words:
                    self.insert(SCREAMING_SNAKE_CASE	)






      def __UpperCAmelCase       ( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					None:




             '''simple docstring'''
             _a    : str     					=self
             for char in word:
                    if char not in curr.nodes:
                           _a    : Dict     					=TrieNode()
                    _a    : List[Any]     					=curr.nodes[char]
             _a    : int     					=True






      def __UpperCAmelCase       ( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					bool:




             '''simple docstring'''
             _a    : int     					=self
             for char in word:
                    if char not in curr.nodes:
                           return False
                    _a    : List[Any]     					=curr.nodes[char]
             return curr.is_leaf






      def __UpperCAmelCase       ( self			:Dict     ,						SCREAMING_SNAKE_CASE			:str	)       ->					None:




             '''simple docstring'''

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

             _delete(self     ,						SCREAMING_SNAKE_CASE     ,						0	)


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	TrieNode    ,_UpperCAmelCase	:	str  )  ->			None:
       if node.is_leaf:
              print(_UpperCAmelCase    ,end=""" """  )

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


def 	SCREAMING_SNAKE_CASE_					(  )  ->			bool:
       _a    : List[str]     					="""banana bananas bandana band apple all beast""".split()
       _a    : List[Any]     					=TrieNode()
       root.insert_many(_UpperCAmelCase  )
       # print_words(root, "")
       assert all(root.find(_UpperCAmelCase  ) 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 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str    ,_UpperCAmelCase	:	bool  )  ->			None:
       print(str(_UpperCAmelCase  )    ,"""works!""" if passes else """doesn't work :("""  )


def 	SCREAMING_SNAKE_CASE_					(  )  ->			None:
       assert test_trie()


def 	SCREAMING_SNAKE_CASE_					(  )  ->			None:
       print_results("""Testing trie functionality"""    ,test_trie()  )


if __name__ == "__main__":
   main()


