


'''simple docstring'''






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


__UpperCAmelCase       							=				get_tests_dir('''fixtures/test_sentencepiece.model''')

__UpperCAmelCase       							=				{'''target_lang''': '''fi''', '''source_lang''': '''en'''}
__UpperCAmelCase       							=				'''>>zh<<'''
__UpperCAmelCase       							=				'''Helsinki-NLP/'''

if is_torch_available():
		__UpperCAmelCase       							=				'''pt'''
elif is_tf_available():
		__UpperCAmelCase       							=				'''tf'''
else:
		__UpperCAmelCase       							=				'''jax'''




@require_sentencepiece
class 						a__							(				a__							,							unittest.TestCase    ):





							'''simple docstring'''






							lowercase__     :  Tuple      		= MarianTokenizer
							lowercase__     :  Dict      		= False
							lowercase__     :  Dict      		= True







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

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







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







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				Tuple:
														return (
														    "This is a test",
														    "This is a test",
														)







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Optional[int]:
														lowerCAmelCase__			  =      '''</s>'''
														lowerCAmelCase__			  =      0

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







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				int:
														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(lowerCamelCase_  )   ,       9  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[Any]:
														self.assertEqual(self.get_tokenizer().vocab_size   ,       9  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														lowerCAmelCase__			  =      MarianTokenizer.from_pretrained(F"""{ORG_NAME}opus-mt-en-de"""  )
														lowerCAmelCase__			  =      en_de_tokenizer(['''I am a small frog''']   ,       return_tensors=lowerCamelCase_  )
														self.assertIsInstance(lowerCamelCase_   ,       lowerCamelCase_  )
														lowerCAmelCase__			  =      [38, 1_21, 14, 6_97, 3_88_48, 0]
														self.assertListEqual(lowerCamelCase_   ,       batch.input_ids[0]  )

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







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				str:
														lowerCAmelCase__			  =      self.get_tokenizer()

														lowerCAmelCase__			  =      tok(
														    ['''I am a small frog''' * 10_00, '''I am a small frog''']   ,       padding=lowerCamelCase_   ,       truncation=lowerCamelCase_   ,       return_tensors=lowerCamelCase_  )
														self.assertIsInstance(lowerCamelCase_   ,       lowerCamelCase_  )
														self.assertEqual(batch.input_ids.shape   ,       (2, 5_12)  )







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







							@slow
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Tuple:
														# fmt: off
														lowerCAmelCase__			  =      {'''input_ids''': [[4_34_95, 4_62, 20, 4_21_64, 13_69, 52, 4_64, 1_32, 17_03, 4_92, 13, 74_91, 3_89_99, 6, 8, 4_64, 1_32, 17_03, 4_92, 13, 46_69, 3_78_67, 13, 75_25, 27, 15_93, 9_88, 13, 3_39_72, 70_29, 6, 20, 82_51, 3_83, 2, 2_70, 58_66, 37_88, 2, 23_53, 82_51, 1_23_38, 2, 1_39_58, 3_87, 2, 36_29, 69_53, 1_88, 29_00, 2, 1_39_58, 80_11, 1_15_01, 23, 84_60, 40_73, 3_40_09, 20, 4_35, 1_14_39, 27, 8, 84_60, 40_73, 60_04, 20, 99_88, 3_75, 27, 33, 2_66, 19_45, 10_76, 13_50, 3_78_67, 32_88, 5, 5_77, 10_76, 43_74, 8, 50_82, 5, 2_64_53, 2_57, 5_56, 4_03, 2, 2_42, 1_32, 3_83, 3_16, 4_92, 8, 1_07_67, 6, 3_16, 3_04, 42_39, 3, 0], [1_48, 1_57_22, 19, 18_39, 12, 13_50, 13, 2_23_27, 50_82, 54_18, 4_75_67, 3_59_38, 59, 3_18, 1_95_52, 1_08, 21_83, 54, 1_49_76, 48_35, 32, 5_47, 11_14, 8, 3_15, 24_17, 5, 92, 1_90_88, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00], [36, 63_95, 1_25_70, 3_91_47, 1_15_97, 6, 2_66, 4, 4_54_05, 72_96, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00]], '''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=lowerCamelCase_   ,       model_name='''Helsinki-NLP/opus-mt-en-de'''   ,       revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''   ,       decode_kwargs={'''use_source_tokenizer''': True}   ,       )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														lowerCAmelCase__			  =      MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''  )

														lowerCAmelCase__			  =      '''Tämä on testi'''
														lowerCAmelCase__			  =      '''This is a test'''

														lowerCAmelCase__			  =      [76, 7, 20_47, 2]
														lowerCAmelCase__			  =      [69, 12, 11, 9_40, 2]

														lowerCAmelCase__			  =      tokenizer(lowerCamelCase_  ).input_ids
														self.assertListEqual(lowerCamelCase_   ,       lowerCamelCase_  )

														lowerCAmelCase__			  =      tokenizer(text_target=lowerCamelCase_  ).input_ids
														self.assertListEqual(lowerCamelCase_   ,       lowerCamelCase_  )

														lowerCAmelCase__			  =      tokenizer.decode(lowerCamelCase_   ,       skip_special_tokens=lowerCamelCase_  )
														self.assertEqual(lowerCamelCase_   ,       lowerCamelCase_  )






'''simple docstring'''






class 					UpperCAmelCase	:




      def __init__(     self     :					List[str]     ,     __snake_case     :					str    )							-> Union[str, Any]:
            _lowerCAmelCase					=				val
            _lowerCAmelCase					=				None
            _lowerCAmelCase					=				None




      def 							lowercase__       (     self     :					Optional[Any]     ,     __snake_case     :					int    )							-> Optional[int]:
            if self.val:
                  if val < self.val:
                        if self.left is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.left.insert(__snake_case    )
                  elif val > self.val:
                        if self.right is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.right.insert(__snake_case    )
            else:
                  _lowerCAmelCase					=				val




def   UpperCamelCase__ (						lowerCAmelCase				,      lowerCAmelCase    ):





      """simple docstring"""


      if root:
            inorder(root.left				,      lowerCAmelCase    )
            res.append(root.val    )
            inorder(root.right				,      lowerCAmelCase    )
def   UpperCamelCase__ (						lowerCAmelCase    ):





      """simple docstring"""


      if len(lowerCAmelCase    ) == 0:
            return arr
      _lowerCAmelCase					=				Node(arr[0]    )
      for i in range(1				,      len(lowerCAmelCase    )    ):
            root.insert(arr[i]    )
      # Traverse BST in order.
      _lowerCAmelCase					=				[]
      inorder(lowerCAmelCase				,      lowerCAmelCase    )
      return res


if __name__ == "__main__":
      print(tree_sort([10, 1, 3, 2, 9, 14, 13]))






