



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


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

a_   :List[str]        =      {"target_lang": "fi", "source_lang": "en"}
a_   :Union[str, Any]        =      ">>zh<<"
a_   :Optional[int]        =      "Helsinki-NLP/"

if is_torch_available():
 a_   :Optional[int]        =      "pt"
elif is_tf_available():
 a_   :List[str]        =      "tf"
else:
 a_   :Tuple        =      "jax"




@require_sentencepiece
class 					snake_case__						(       lowerCAmelCase_				,     unittest.TestCase     ):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE						=	MarianTokenizer
     _SCREAMING_SNAKE_CASE						=	False
     _SCREAMING_SNAKE_CASE						=	True






     def    lowercase_   (       self  :  Union[str, Any]					)   ->Dict:
            super().setUp()
            snake_case__							:	Optional[Any]   	=	['</s>', '<unk>', '▁This', '▁is', '▁a', '▁t', 'est', '\u0120', '<pad>']
            snake_case__							:	Optional[Any]   	=	dict(zip(__lowerCAmelCase, range(len(__lowerCAmelCase					)					)					)					)
            snake_case__							:	Optional[Any]   	=	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']					)

            snake_case__							:	Any   	=	MarianTokenizer.from_pretrained(self.tmpdirname					)
            tokenizer.save_pretrained(self.tmpdirname					)






     def    lowercase_   (       self  :  str, **_snake_case  :  List[str]					)   ->Dict:
            return MarianTokenizer.from_pretrained(self.tmpdirname, **__lowerCAmelCase					)






     def    lowercase_   (       self  :  List[Any], _snake_case  :  Dict					)   ->Dict:
            return (
                "This is a test",
                "This is a test",
            )






     def    lowercase_   (       self  :  List[str]					)   ->Optional[int]:
            snake_case__							:	str   	=	'</s>'
            snake_case__							:	List[Any]   	=	0

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






     def    lowercase_   (       self  :  Any					)   ->Optional[int]:
            snake_case__							:	str   	=	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    lowercase_   (       self  :  Dict					)   ->Tuple:
            self.assertEqual(self.get_tokenizer().vocab_size, 9					)






     def    lowercase_   (       self  :  Any					)   ->int:
            snake_case__							:	Optional[int]   	=	MarianTokenizer.from_pretrained(F'''{ORG_NAME}opus-mt-en-de'''					)
            snake_case__							:	Optional[Any]   	=	en_de_tokenizer(['I am a small frog'], return_tensors=__lowerCAmelCase					)
            self.assertIsInstance(__lowerCAmelCase, __lowerCAmelCase					)
            snake_case__							:	int   	=	[3_8, 1_2_1, 1_4, 6_9_7, 3_8_8_4_8, 0]
            self.assertListEqual(__lowerCAmelCase, batch.input_ids[0]					)

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






     def    lowercase_   (       self  :  Dict					)   ->Tuple:
            snake_case__							:	Union[str, Any]   	=	self.get_tokenizer()

            snake_case__							:	Optional[int]   	=	tok(
                ['I am a small frog' * 1_0_0_0, 'I am a small frog'], padding=__lowerCAmelCase, truncation=__lowerCAmelCase, return_tensors=__lowerCAmelCase					)
            self.assertIsInstance(__lowerCAmelCase, __lowerCAmelCase					)
            self.assertEqual(batch.input_ids.shape, (2, 5_1_2)					)






     def    lowercase_   (       self  :  Union[str, Any]					)   ->List[Any]:
            snake_case__							:	Any   	=	self.get_tokenizer()
            snake_case__							:	Optional[Any]   	=	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, 1_0)					)






     @slow
     def    lowercase_   (       self  :  str					)   ->List[str]:
            snake_case__							:	Dict   	=	{'input_ids': [[4_3_4_9_5, 4_6_2, 2_0, 4_2_1_6_4, 1_3_6_9, 5_2, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 7_4_9_1, 3_8_9_9_9, 6, 8, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 4_6_6_9, 3_7_8_6_7, 1_3, 7_5_2_5, 2_7, 1_5_9_3, 9_8_8, 1_3, 3_3_9_7_2, 7_0_2_9, 6, 2_0, 8_2_5_1, 3_8_3, 2, 2_7_0, 5_8_6_6, 3_7_8_8, 2, 2_3_5_3, 8_2_5_1, 1_2_3_3_8, 2, 1_3_9_5_8, 3_8_7, 2, 3_6_2_9, 6_9_5_3, 1_8_8, 2_9_0_0, 2, 1_3_9_5_8, 8_0_1_1, 1_1_5_0_1, 2_3, 8_4_6_0, 4_0_7_3, 3_4_0_0_9, 2_0, 4_3_5, 1_1_4_3_9, 2_7, 8, 8_4_6_0, 4_0_7_3, 6_0_0_4, 2_0, 9_9_8_8, 3_7_5, 2_7, 3_3, 2_6_6, 1_9_4_5, 1_0_7_6, 1_3_5_0, 3_7_8_6_7, 3_2_8_8, 5, 5_7_7, 1_0_7_6, 4_3_7_4, 8, 5_0_8_2, 5, 2_6_4_5_3, 2_5_7, 5_5_6, 4_0_3, 2, 2_4_2, 1_3_2, 3_8_3, 3_1_6, 4_9_2, 8, 1_0_7_6_7, 6, 3_1_6, 3_0_4, 4_2_3_9, 3, 0], [1_4_8, 1_5_7_2_2, 1_9, 1_8_3_9, 1_2, 1_3_5_0, 1_3, 2_2_3_2_7, 5_0_8_2, 5_4_1_8, 4_7_5_6_7, 3_5_9_3_8, 5_9, 3_1_8, 1_9_5_5_2, 1_0_8, 2_1_8_3, 5_4, 1_4_9_7_6, 4_8_3_5, 3_2, 5_4_7, 1_1_1_4, 8, 3_1_5, 2_4_1_7, 5, 9_2, 1_9_0_8_8, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0], [3_6, 6_3_9_5, 1_2_5_7_0, 3_9_1_4_7, 1_1_5_9_7, 6, 2_6_6, 4, 4_5_4_0_5, 7_2_9_6, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_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, 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    lowercase_   (       self  :  Tuple					)   ->Dict:
            snake_case__							:	Any   	=	MarianTokenizer.from_pretrained('hf-internal-testing/test-marian-two-vocabs'					)

            snake_case__							:	List[str]   	=	'Tämä on testi'
            snake_case__							:	Any   	=	'This is a test'

            snake_case__							:	str   	=	[7_6, 7, 2_0_4_7, 2]
            snake_case__							:	Tuple   	=	[6_9, 1_2, 1_1, 9_4_0, 2]

            snake_case__							:	Tuple   	=	tokenizer(__lowerCAmelCase					).input_ids
            self.assertListEqual(__lowerCAmelCase, __lowerCAmelCase					)

            snake_case__							:	Optional[int]   	=	tokenizer(text_target=__lowerCAmelCase					).input_ids
            self.assertListEqual(__lowerCAmelCase, __lowerCAmelCase					)

            snake_case__							:	List[str]   	=	tokenizer.decode(__lowerCAmelCase, skip_special_tokens=__lowerCAmelCase					)
            self.assertEqual(__lowerCAmelCase, __lowerCAmelCase					)













def lowerCAmelCase__(__snake_case							)				->      list:







	'''simple docstring'''







	lowerCamelCase__								=		len(__snake_case							)
	for _ in range(__snake_case							):
		for i in range(_ % 2       ,arr_size - 1       ,2							):
			if arr[i + 1] < arr[i]:
				lowerCamelCase__				,	lowerCamelCase__								=		arr[i + 1], arr[i]

	return arr


if __name__ == "__main__":
			_a 						=      list(range(10, 0, -1))
			print(f"""Original: {arr}. Sorted: {odd_even_transposition(arr)}""")



