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

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
 from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
 a  :      str            =    get_tests_dir("""fixtures/test_sentencepiece.model""")


if is_torch_available():
 from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

a  :      Optional[int]            =    1_2_8_0_2_2
a  :      Tuple            =    1_2_8_0_2_8

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






    '''simple docstring'''
    SCREAMING_SNAKE_CASE:				Dict          =    MaMaaaTokenizer
    SCREAMING_SNAKE_CASE:				int          =    False
    SCREAMING_SNAKE_CASE:				Any          =    False
    SCREAMING_SNAKE_CASE:				List[Any]          =    True




    def      _a    (    self ):
       super().setUp()

       lowerCAmelCase_:							Optional[int]       =	["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
       lowerCAmelCase_:							Tuple       =	dict(zip(lowerCamelCase__       ,						range(len(lowerCamelCase__ ) ) ) )
       lowerCAmelCase_:							List[str]       =	Path(self.tmpdirname )
       save_json(lowerCamelCase__       ,						save_dir / VOCAB_FILES_NAMES["vocab_file"] )
       if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
          copyfile(lowerCamelCase__       ,						save_dir / VOCAB_FILES_NAMES["spm_file"] )

       lowerCAmelCase_:							Optional[Any]       =	MaMaaaTokenizer.from_pretrained(self.tmpdirname )
       tokenizer.save_pretrained(self.tmpdirname )




    def      _a    (    self       ,						**lowerCamelCase__ ):
       return MaMaaaTokenizer.from_pretrained(self.tmpdirname       ,						**lowerCamelCase__ )




    def      _a    (    self       ,						lowerCamelCase__ ):
       return (
           "This is a test",
           "This is a test",
       )




    def      _a    (    self ):
       lowerCAmelCase_:							Any       =	"</s>"
       lowerCAmelCase_:							Dict       =	0

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




    def      _a    (    self ):
       lowerCAmelCase_:							Dict       =	self.get_tokenizer()
       lowerCAmelCase_:							Optional[Any]       =	list(tokenizer.get_vocab().keys() )

       self.assertEqual(vocab_keys[0]       ,						"</s>" )
       self.assertEqual(vocab_keys[1]       ,						"<unk>" )
       self.assertEqual(vocab_keys[-1]       ,						"<s>" )
       self.assertEqual(len(lowerCamelCase__ )       ,						tokenizer.vocab_size + len(tokenizer.get_added_vocab() ) )




    @unittest.skip("Skip this test while all models are still to be uploaded." )
    def      _a    (    self ):
       pass




    def      _a    (    self ):
       lowerCAmelCase_:							List[str]       =	self.get_tokenizer()

       lowerCAmelCase_:							List[str]       =	tokenizer.tokenize("This is a test" )
       self.assertListEqual(lowerCamelCase__       ,						["▁This", "▁is", "▁a", "▁t", "est"] )

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(lowerCamelCase__ )       ,						[2, 3, 4, 5, 6]       ,						)

       lowerCAmelCase_:							Dict       =	tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6] )
       self.assertListEqual(lowerCamelCase__       ,						["▁This", "▁is", "▁a", "▁t", "est"] )

       lowerCAmelCase_:							int       =	tokenizer.convert_tokens_to_string(lowerCamelCase__ )
       self.assertEqual(lowerCamelCase__       ,						"This is a test" )




    @slow
    def      _a    (    self ):
       # fmt: off
       lowerCAmelCase_:							List[str]       =	{"input_ids": [[128_022, 110_108, 397, 11, 38_272, 2_247, 124_811, 285, 18_105, 1_586, 207, 7, 39_534, 4_428, 397, 1_019, 18_105, 1_586, 207, 7, 41_337, 16_786, 241, 7, 20_214, 17, 125_690, 10_398, 7, 44_378, 58_069, 68_342, 7_798, 7_343, 11, 299, 33_310, 4, 158, 37_350, 94_077, 4_569, 299, 33_310, 90, 4, 52_840, 290, 4, 31_270, 112, 299, 682, 4, 52_840, 39_953, 14_079, 193, 52_519, 90_894, 17_894, 120_697, 11, 40_445, 551, 17, 1_019, 52_519, 90_894, 17_756, 963, 11, 40_445, 480, 17, 9_792, 1_120, 5_173, 1_393, 6_240, 16_786, 241, 120_996, 28, 1_245, 1_393, 118_240, 11_123, 1_019, 93_612, 2_691, 10_618, 98_058, 120_409, 1_928, 279, 4, 40_683, 367, 178, 207, 1_019, 103, 103_121, 506, 65_296, 5, 2], [128_022, 21_217, 367, 117, 125_450, 128, 719, 7, 7_308, 40, 93_612, 12_669, 1_116, 16_704, 71, 17_785, 3_699, 15_592, 35, 144, 9_584, 241, 11_943, 713, 950, 799, 2_247, 88_427, 150, 149, 118_813, 120_706, 1_019, 106_906, 81_518, 28, 1_224, 22_799, 397, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [128_022, 1_658, 123_311, 5_155, 5_578, 4_722, 279, 14_947, 2_366, 1_120, 1_197, 14, 1_348, 9_232, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], "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, 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], [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, 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="facebook/m2m100_418M"       ,						revision="c168bae485c864188cf9aa0e4108b0b6934dc91e"       ,						)





@require_torch
@require_sentencepiece
@require_tokenizers
class 					_lowercase    (     unittest.TestCase			):






    '''simple docstring'''
    SCREAMING_SNAKE_CASE:				Optional[Any]          =    'facebook/m2m100_418M'
    SCREAMING_SNAKE_CASE:				Optional[Any]          =    [
        'In my opinion, there are two levels of response from the French government.',
        'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
    ]
    SCREAMING_SNAKE_CASE:				Optional[Any]          =    [
        'Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.',
        'L\'affaire NSA souligne l\'absence totale de débat sur le renseignement',
    ]

    # fmt: off
    SCREAMING_SNAKE_CASE:				int          =    [EN_CODE, 593, 1949, 11_5781, 4, 7_1586, 4234, 6_0633, 12_6233, 432, 12_3808, 1_5592, 1197, 11_7132, 12_0618, 5, 2]




    @classmethod
    def      _a    (    cls ):
       lowerCAmelCase_:							MaMaaaTokenizer       =	MaMaaaTokenizer.from_pretrained(
           cls.checkpoint_name       ,						src_lang="en"       ,						tgt_lang="fr" )
       lowerCAmelCase_:							Tuple       =	1
       return cls




    def      _a    (    self ):
       self.assertEqual(self.tokenizer.get_lang_id("ar" )       ,						128_006 )
       self.assertEqual(self.tokenizer.get_lang_id("en" )       ,						128_022 )
       self.assertEqual(self.tokenizer.get_lang_id("ro" )       ,						128_076 )
       self.assertEqual(self.tokenizer.get_lang_id("mr" )       ,						128_063 )




    def      _a    (    self ):
       lowerCAmelCase_:							Optional[Any]       =	self.tokenizer.get_vocab()
       self.assertEqual(len(lowerCamelCase__ )       ,						self.tokenizer.vocab_size )
       self.assertEqual(vocab["<unk>"]       ,						3 )
       self.assertIn(self.tokenizer.get_lang_token("en" )       ,						lowerCamelCase__ )




    def      _a    (    self ):
       lowerCAmelCase_:							Any       =	"en"
       lowerCAmelCase_:							Dict       =	self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
       self.assertListEqual(self.expected_src_tokens       ,						lowerCamelCase__ )




    def      _a    (    self ):
       self.assertIn(lowerCamelCase__       ,						self.tokenizer.all_special_ids )
       # fmt: off
       lowerCAmelCase_:							Optional[int]       =	[FR_CODE, 5_364, 82, 8_642, 4, 294, 47, 8, 14_028, 136, 3_286, 9_706, 6, 90_797, 6, 144_012, 162, 88_128, 30_061, 5, 2]
       # fmt: on
       lowerCAmelCase_:							int       =	self.tokenizer.decode(lowerCamelCase__       ,						skip_special_tokens=lowerCamelCase__ )
       lowerCAmelCase_:							Dict       =	self.tokenizer.decode(generated_ids[1:]       ,						skip_special_tokens=lowerCamelCase__ )
       self.assertEqual(lowerCamelCase__       ,						lowerCamelCase__ )
       self.assertNotIn(self.tokenizer.eos_token       ,						lowerCamelCase__ )




    def      _a    (    self ):
       lowerCAmelCase_:							Union[str, Any]       =	tempfile.mkdtemp()
       lowerCAmelCase_:							Dict       =	self.tokenizer.lang_token_to_id
       self.tokenizer.save_pretrained(lowerCamelCase__ )
       lowerCAmelCase_:							Tuple       =	MaMaaaTokenizer.from_pretrained(lowerCamelCase__ )
       self.assertDictEqual(new_tok.lang_token_to_id       ,						lowerCamelCase__ )




    @require_torch
    def      _a    (    self ):
       lowerCAmelCase_:							List[Any]       =	"en"
       lowerCAmelCase_:							Dict       =	"fr"

       lowerCAmelCase_:							Tuple       =	self.tokenizer(self.src_text       ,						text_target=self.tgt_text       ,						padding=lowerCamelCase__       ,						return_tensors="pt" )

       lowerCAmelCase_:							Optional[int]       =	shift_tokens_right(
           batch["labels"]       ,						self.tokenizer.pad_token_id       ,						self.tokenizer.eos_token_id )

       for k in batch:
          lowerCAmelCase_:							List[Any]       =	batch[k].tolist()
       # batch = {k: v.tolist() for k,v in batch.items()}
       # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
       # batch.decoder_inputs_ids[0][0] ==
       assert batch.input_ids[1][0] == EN_CODE
       assert batch.input_ids[1][-1] == 2
       assert batch.labels[1][0] == FR_CODE
       assert batch.labels[1][-1] == 2
       assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]




    @require_torch
    def      _a    (    self ):
       lowerCAmelCase_:							int       =	"mr"
       self.assertListEqual(self.tokenizer.prefix_tokens       ,						[self.tokenizer.get_lang_id("mr" )] )
       self.assertListEqual(self.tokenizer.suffix_tokens       ,						[self.tokenizer.eos_token_id] )

       lowerCAmelCase_:							Optional[int]       =	"zh"
       self.assertListEqual(self.tokenizer.prefix_tokens       ,						[self.tokenizer.get_lang_id("zh" )] )
       self.assertListEqual(self.tokenizer.suffix_tokens       ,						[self.tokenizer.eos_token_id] )




    @require_torch
    def      _a    (    self ):
       lowerCAmelCase_:							str       =	"mr"
       self.tokenizer._switch_to_target_mode()
       self.assertListEqual(self.tokenizer.prefix_tokens       ,						[self.tokenizer.get_lang_id("mr" )] )
       self.assertListEqual(self.tokenizer.suffix_tokens       ,						[self.tokenizer.eos_token_id] )
       self.tokenizer._switch_to_input_mode()
       self.assertListEqual(self.tokenizer.prefix_tokens       ,						[self.tokenizer.get_lang_id(self.tokenizer.src_lang )] )

       lowerCAmelCase_:							Union[str, Any]       =	"zh"
       self.tokenizer._switch_to_target_mode()
       self.assertListEqual(self.tokenizer.prefix_tokens       ,						[self.tokenizer.get_lang_id("zh" )] )
       self.assertListEqual(self.tokenizer.suffix_tokens       ,						[self.tokenizer.eos_token_id] )
       self.tokenizer._switch_to_input_mode()
       self.assertListEqual(self.tokenizer.prefix_tokens       ,						[self.tokenizer.get_lang_id(self.tokenizer.src_lang )] )




    @require_torch
    def      _a    (    self ):
       lowerCAmelCase_:							Union[str, Any]       =	self.tokenizer._build_translation_inputs("A test"       ,						return_tensors="pt"       ,						src_lang="en"       ,						tgt_lang="ar" )

       self.assertEqual(
           nested_simplify(lowerCamelCase__ )       ,						{
               # en_XX, A, test, EOS
               "input_ids": [[128_022, 58, 4_183, 2]],
               "attention_mask": [[1, 1, 1, 1]],
               # ar_AR
               "forced_bos_token_id": 128_006,
           }       ,						)
def 		snake_case__	(		lowercase					):
   lowerCAmelCase_:							Union[str, Any]       =	[1]

   lowerCAmelCase_  ,	lowerCAmelCase_  ,	lowerCAmelCase_:							int       =	0, 0, 0
   lowerCAmelCase_:							Union[str, Any]       =	ugly_nums[ia] * 2
   lowerCAmelCase_:							str       =	ugly_nums[ia] * 3
   lowerCAmelCase_:							Dict       =	ugly_nums[ia] * 5

   for _ in range(1							,				lowercase					):
      lowerCAmelCase_:							Any       =	min(lowercase							,				lowercase							,				lowercase					)
      ugly_nums.append(lowercase					)
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							str       =	ugly_nums[ia] * 2
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							Optional[int]       =	ugly_nums[ia] * 3
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							int       =	ugly_nums[ia] * 5
   return ugly_nums[-1]


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

 testmod(verbose=True)
 print(f'''{ugly_numbers(2_0_0) = }''')