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


SCREAMING_SNAKE_CASE__		:					Any						=					get_tests_dir("fixtures/test_sentencepiece.model")

SCREAMING_SNAKE_CASE__		:					Tuple						=					{"target_lang": "fi", "source_lang": "en"}
SCREAMING_SNAKE_CASE__		:					List[str]						=					">>zh<<"
SCREAMING_SNAKE_CASE__		:					List[str]						=					"Helsinki-NLP/"

if is_torch_available():
      SCREAMING_SNAKE_CASE__		:					Dict						=					"pt"
elif is_tf_available():
      SCREAMING_SNAKE_CASE__		:					List[Any]						=					"tf"
else:
      SCREAMING_SNAKE_CASE__		:					List[Any]						=					"jax"

@require_sentencepiece
class       snake_case					(      UpperCamelCase_   ,						unittest.TestCase						):
  lowercase_			=     MarianTokenizer
  lowercase_			=     False
  lowercase_			=     True




  def 	__lowercase(      self     :	int				)->       List[str]:




       """simple docstring"""
       super().setUp()
       SCREAMING_SNAKE_CASE__				:				int			=		['</s>', '<unk>', '▁This', '▁is', '▁a', '▁t', 'est', '\u0120', '<pad>']
       SCREAMING_SNAKE_CASE__				:				Dict			=		dict(zip(a_     , range(len(a_				)				)				)				)
       SCREAMING_SNAKE_CASE__				:				str			=		Path(self.tmpdirname				)
       save_json(a_     , save_dir / VOCAB_FILES_NAMES['vocab']				)
       save_json(a_     , save_dir / VOCAB_FILES_NAMES['tokenizer_config_file']				)
       if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
            copyfile(a_     , save_dir / VOCAB_FILES_NAMES['source_spm']				)
            copyfile(a_     , save_dir / VOCAB_FILES_NAMES['target_spm']				)

       SCREAMING_SNAKE_CASE__				:				List[str]			=		MarianTokenizer.from_pretrained(self.tmpdirname				)
       tokenizer.save_pretrained(self.tmpdirname				)




  def 	__lowercase(      self     :	int     , **a_     :	Union[str, Any]				)->       MarianTokenizer:




       """simple docstring"""
       return MarianTokenizer.from_pretrained(self.tmpdirname     , **a_				)




  def 	__lowercase(      self     :	int     , a_     :	Union[str, Any]				)->       int:




       """simple docstring"""
       return (
           "This is a test",
           "This is a test",
       )




  def 	__lowercase(      self     :	str				)->       Union[str, Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				int			=		'</s>'
       SCREAMING_SNAKE_CASE__				:				Dict			=		0

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




  def 	__lowercase(      self     :	Union[str, Any]				)->       str:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		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(a_				)     , 9				)




  def 	__lowercase(      self     :	str				)->       Union[str, Any]:




       """simple docstring"""
       self.assertEqual(self.get_tokenizer().vocab_size     , 9				)




  def 	__lowercase(      self     :	Any				)->       str:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		MarianTokenizer.from_pretrained(F'''{ORG_NAME}opus-mt-en-de'''				)
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		en_de_tokenizer(['I am a small frog']     , return_tensors=a_				)
       self.assertIsInstance(a_     , a_				)
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		[38, 121, 14, 697, 3_8848, 0]
       self.assertListEqual(a_     , batch.input_ids[0]				)

       SCREAMING_SNAKE_CASE__				:				int			=		tempfile.mkdtemp()
       en_de_tokenizer.save_pretrained(a_				)
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		[x.name for x in Path(a_				).glob('*'				)]
       self.assertIn('source.spm'     , a_				)
       MarianTokenizer.from_pretrained(a_				)




  def 	__lowercase(      self     :	Dict				)->       Dict:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Dict			=		self.get_tokenizer()

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




  def 	__lowercase(      self     :	Any				)->       Optional[Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		self.get_tokenizer()
       SCREAMING_SNAKE_CASE__				:				int			=		tok(['I am a tiny frog', 'I am a small frog']     , padding=a_     , return_tensors=a_				)
       self.assertIsInstance(a_     , a_				)
       self.assertEqual(batch_smaller.input_ids.shape     , (2, 10)				)




  @slow
  def 	__lowercase(      self     :	Optional[int]				)->       Optional[int]:




       """simple docstring"""
       # fmt: off
       SCREAMING_SNAKE_CASE__				:				Tuple			=		{'input_ids': [[4_3495, 462, 20, 4_2164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 3_8999, 6, 8, 464, 132, 1703, 492, 13, 4669, 3_7867, 13, 7525, 27, 1593, 988, 13, 3_3972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 1_2338, 2, 1_3958, 387, 2, 3629, 6953, 188, 2900, 2, 1_3958, 8011, 1_1501, 23, 8460, 4073, 3_4009, 20, 435, 1_1439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 3_7867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 2_6453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 1_0767, 6, 316, 304, 4239, 3, 0], [148, 1_5722, 19, 1839, 12, 1350, 13, 2_2327, 5082, 5418, 4_7567, 3_5938, 59, 318, 1_9552, 108, 2183, 54, 1_4976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 1_9088, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100], [36, 6395, 1_2570, 3_9147, 1_1597, 6, 266, 4, 4_5405, 7296, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100]], '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=a_     , model_name='Helsinki-NLP/opus-mt-en-de'     , revision='1a8c2263da11e68e50938f97e10cd57820bd504c'     , decode_kwargs={'use_source_tokenizer': True}     , )




  def 	__lowercase(      self     :	Tuple				)->       Any:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		MarianTokenizer.from_pretrained('hf-internal-testing/test-marian-two-vocabs'				)

       SCREAMING_SNAKE_CASE__				:				Dict			=		'Tämä on testi'
       SCREAMING_SNAKE_CASE__				:				List[str]			=		'This is a test'

       SCREAMING_SNAKE_CASE__				:				Any			=		[76, 7, 2047, 2]
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		[69, 12, 11, 940, 2]

       SCREAMING_SNAKE_CASE__				:				Dict			=		tokenizer(a_				).input_ids
       self.assertListEqual(a_     , a_				)

       SCREAMING_SNAKE_CASE__				:				Any			=		tokenizer(text_target=a_				).input_ids
       self.assertListEqual(a_     , a_				)

       SCREAMING_SNAKE_CASE__				:				List[str]			=		tokenizer.decode(a_     , skip_special_tokens=a_				)
       self.assertEqual(a_     , a_				)




def     _a				(      lowercase__  :			Optional[int] ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		[]
     SCREAMING_SNAKE_CASE__				:				List[Any]			=		set({'(', '[', '{'} )
     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		set({')', ']', '}'} )
     SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		{'{': '}', '[': ']', '(': ')'}

     for i in range(len(lowercase__ ) ):
          if s[i] in open_brackets:
               stack.append(s[i] )

          elif s[i] in closed_brackets and (
              len(lowercase__ ) == 0 or (len(lowercase__ ) > 0 and open_to_closed[stack.pop()] != s[i])
          ):
               return False

     return len(lowercase__ ) == 0







def     _a				(      ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Tuple			=		input('Enter sequence of brackets: ' )
     if is_balanced(lowercase__ ):
          print(lowercase__     ,  'is balanced' )
     else:
          print(lowercase__     ,  'is not balanced' )


if __name__ == "__main__":
      main()



