



'''simple docstring'''





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          =		get_tests_dir("fixtures/test_sentencepiece.model")


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

__a          =		12_8022
__a          =		12_8028







@require_sentencepiece
class     UpperCAmelCase_       (       _a		,		unittest.TestCase	):
    """simple docstring"""







    lowercase					=		MaMaaaTokenizer
    lowercase					=		False
    lowercase					=		False
    lowercase					=		True




    def lowerCamelCase       (    self					:     Optional[int]						):
          super().setUp()

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

          snake_case__  :    int    						=      MaMaaaTokenizer.from_pretrained(self.tmpdirname						)
          tokenizer.save_pretrained(self.tmpdirname						)




    def lowerCamelCase       (    self					:     List[str] ,     **snake_case_					:     Dict						):
          return MaMaaaTokenizer.from_pretrained(self.tmpdirname ,     **snake_case_						)




    def lowerCamelCase       (    self					:     Optional[int] ,     snake_case_					:     List[str]						):
          return (
              "This is a test",
              "This is a test",
          )




    def lowerCamelCase       (    self					:     List[Any]						):
          snake_case__  :    List[Any]    						=      """</s>"""
          snake_case__  :    Any    						=      0

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




    def lowerCamelCase       (    self					:     Union[str, Any]						):
          snake_case__  :    List[str]    						=      self.get_tokenizer()
          snake_case__  :    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(snake_case_						) ,     tokenizer.vocab_size + len(tokenizer.get_added_vocab()						)						)




    @unittest.skip("""Skip this test while all models are still to be uploaded."""						)
    def lowerCamelCase       (    self					:     List[Any]						):
          pass




    def lowerCamelCase       (    self					:     Optional[int]						):
          snake_case__  :    Dict    						=      self.get_tokenizer()

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

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

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

          snake_case__  :    Dict    						=      tokenizer.convert_tokens_to_string(snake_case_						)
          self.assertEqual(snake_case_ ,     """This is a test"""						)




    @slow
    def lowerCamelCase       (    self					:     Optional[Any]						):
          # fmt: off
          snake_case__  :    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=snake_case_ ,     model_name="""facebook/m2m100_418M""" ,     revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e""" ,     )







@require_torch
@require_sentencepiece
@require_tokenizers
class     UpperCAmelCase_       (       unittest.TestCase	):
    """simple docstring"""







    lowercase					=		"facebook/m2m100_418M"
    lowercase					=		[
        "In my opinion, there are two levels of response from the French government.",
        "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
    ]
    lowercase					=		[
        "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
    lowercase					=		[EN_CODE, 5_93, 19_49, 11_57_81, 4, 7_15_86, 42_34, 6_06_33, 12_62_33, 4_32, 12_38_08, 1_55_92, 11_97, 11_71_32, 12_06_18, 5, 2]




    @classmethod
    def lowerCamelCase       (    cls					:     Dict						):
          snake_case__  :    MaMaaaTokenizer    						=      MaMaaaTokenizer.from_pretrained(
              cls.checkpoint_name ,     src_lang="""en""" ,     tgt_lang="""fr"""						)
          snake_case__  :    int    						=      1
          return cls




    def lowerCamelCase       (    self					:     List[Any]						):
          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 lowerCamelCase       (    self					:     List[str]						):
          snake_case__  :    Dict    						=      self.tokenizer.get_vocab()
          self.assertEqual(len(snake_case_						) ,     self.tokenizer.vocab_size						)
          self.assertEqual(vocab["""<unk>"""] ,     3						)
          self.assertIn(self.tokenizer.get_lang_token("""en"""						) ,     snake_case_						)




    def lowerCamelCase       (    self					:     Union[str, Any]						):
          snake_case__  :    Optional[Any]    						=      """en"""
          snake_case__  :    List[str]    						=      self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
          self.assertListEqual(self.expected_src_tokens ,     snake_case_						)




    def lowerCamelCase       (    self					:     Optional[int]						):
          self.assertIn(snake_case_ ,     self.tokenizer.all_special_ids						)
          # fmt: off
          snake_case__  :    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
          snake_case__  :    Optional[Any]    						=      self.tokenizer.decode(snake_case_ ,     skip_special_tokens=snake_case_						)
          snake_case__  :    Tuple    						=      self.tokenizer.decode(generated_ids[1:] ,     skip_special_tokens=snake_case_						)
          self.assertEqual(snake_case_ ,     snake_case_						)
          self.assertNotIn(self.tokenizer.eos_token ,     snake_case_						)




    def lowerCamelCase       (    self					:     Dict						):
          snake_case__  :    int    						=      tempfile.mkdtemp()
          snake_case__  :    Any    						=      self.tokenizer.lang_token_to_id
          self.tokenizer.save_pretrained(snake_case_						)
          snake_case__  :    str    						=      MaMaaaTokenizer.from_pretrained(snake_case_						)
          self.assertDictEqual(new_tok.lang_token_to_id ,     snake_case_						)




    @require_torch
    def lowerCamelCase       (    self					:     Optional[int]						):
          snake_case__  :    Optional[Any]    						=      """en"""
          snake_case__  :    Optional[Any]    						=      """fr"""

          snake_case__  :    str    						=      self.tokenizer(self.src_text ,     text_target=self.tgt_text ,     padding=snake_case_ ,     return_tensors="""pt"""						)

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

          for k in batch:
                snake_case__  :    Union[str, 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 lowerCamelCase       (    self					:     List[str]						):
          snake_case__  :    Optional[Any]    						=      """mr"""
          self.assertListEqual(self.tokenizer.prefix_tokens ,     [self.tokenizer.get_lang_id("""mr"""						)]						)
          self.assertListEqual(self.tokenizer.suffix_tokens ,     [self.tokenizer.eos_token_id]						)

          snake_case__  :    str    						=      """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 lowerCamelCase       (    self					:     int						):
          snake_case__  :    Union[str, Any]    						=      """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						)]						)

          snake_case__  :    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 lowerCamelCase       (    self					:     List[Any]						):
          snake_case__  :    List[Any]    						=      self.tokenizer._build_translation_inputs("""A test""" ,     return_tensors="""pt""" ,     src_lang="""en""" ,     tgt_lang="""ar"""						)

          self.assertEqual(
              nested_simplify(snake_case_						) ,     {
                  # 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,
              } ,     )





'''simple docstring'''





def 						__snake_case(				_lowerCAmelCase = 1_000		)		-> int:
      return sum(e for e in range(3     ,   _lowerCAmelCase		) if e % 3 == 0 or e % 5 == 0		)


if __name__ == "__main__":
       print(F"{solution() = }")
