





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 						=      get_tests_dir("fixtures/test_sentencepiece.model")

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

if is_torch_available():
			_a 						=      "pt"
elif is_tf_available():
			_a 						=      "tf"
else:
			_a 						=      "jax"






@require_sentencepiece
class 					__A    (    lowerCAmelCase			,				unittest.TestCase ):

			'''simple docstring'''







			lowerCAmelCase_							     =						MarianTokenizer
			lowerCAmelCase_							     =						False
			lowerCAmelCase_							     =						True





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				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 		__lowerCamelCase				(    self       ,  **__lowerCAmelCase							):



				'''simple docstring'''







				return MarianTokenizer.from_pretrained(self.tmpdirname       ,  **__lowerCAmelCase							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







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





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				self.assertEqual(self.get_tokenizer().vocab_size       ,  9							)





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				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__								=		[3_8, 1_2_1, 1_4, 6_9_7, 3_8_8_4_8, 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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				lowerCamelCase__								=		self.get_tokenizer()

				lowerCamelCase__								=		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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				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, 1_0)							)





			@slow
			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				lowerCamelCase__								=		{'''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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				lowerCamelCase__								=		MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''							)

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

				lowerCamelCase__								=		[7_6, 7, 2_0_4_7, 2]
				lowerCamelCase__								=		[6_9, 1_2, 1_1, 9_4_0, 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							)










def lowerCAmelCase__(__snake_case							)				->      str:







	'''simple docstring'''







	return "".join(chr(ord(__snake_case							) - 32							) if '''a''' <= char <= '''z''' else char for char in word							)


if __name__ == "__main__":
			from doctest import testmod

			testmod()



