





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


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

SCREAMING_SNAKE_CASE__							:      Union[str, Any]         =    1_2_8_0_2_2
SCREAMING_SNAKE_CASE__							:      Dict         =    1_2_8_0_2_8







@require_sentencepiece
class 	__lowerCAmelCase      (       _UpperCamelCase		,unittest.TestCase	):
   _UpperCamelCase			:    str  		=					MaMaaaTokenizer
   _UpperCamelCase			:    str  		=					False
   _UpperCamelCase			:    Dict  		=					False
   _UpperCamelCase			:    List[Any]  		=					True





   def 						_snake_case			(			self   )					->	Dict:
      """simple docstring"""





      super().setUp()

      a__						:    Union[str, Any]   		=	["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
      a__						:    Optional[int]   		=	dict(zip(snake_case       ,      range(len(snake_case   )   )   )   )
      a__						:    int   		=	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"]   )

      a__						:    Dict   		=	MaMaaaTokenizer.from_pretrained(self.tmpdirname   )
      tokenizer.save_pretrained(self.tmpdirname   )





   def 						_snake_case			(			self       ,      **snake_case   )					->	List[Any]:
      """simple docstring"""





      return MaMaaaTokenizer.from_pretrained(self.tmpdirname       ,      **snake_case   )





   def 						_snake_case			(			self       ,      snake_case   )					->	int:
      """simple docstring"""





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





   def 						_snake_case			(			self   )					->	Union[str, Any]:
      """simple docstring"""





      a__						:    Union[str, Any]   		=	"</s>"
      a__						:    Dict   		=	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 						_snake_case			(			self   )					->	Union[str, Any]:
      """simple docstring"""





      a__						:    int   		=	self.get_tokenizer()
      a__						:    Tuple   		=	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 						_snake_case			(			self   )					->	Any:
      """simple docstring"""





      pass





   def 						_snake_case			(			self   )					->	str:
      """simple docstring"""





      a__						:    Dict   		=	self.get_tokenizer()

      a__						:    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]       ,      )

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

      a__						:    Optional[Any]   		=	tokenizer.convert_tokens_to_string(snake_case   )
      self.assertEqual(snake_case       ,      "This is a test"   )





   @slow
   def 						_snake_case			(			self   )					->	Optional[int]:
      """simple docstring"""





      a__						:    Any   		=	{"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 	__lowerCAmelCase      (       unittest.TestCase	):
   _UpperCamelCase			:    int  		=					"""facebook/m2m100_418M"""
   _UpperCamelCase			:    List[str]  		=					[
       """In my opinion, there are two levels of response from the French government.""",
       """NSA Affair Emphasizes Complete Lack of Debate on Intelligence""",
   ]
   _UpperCamelCase			:    List[str]  		=					[
       """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
   _UpperCamelCase			:    Tuple  		=					[EN_CODE, 593, 1949, 115781, 4, 71586, 4234, 60633, 126233, 432, 123808, 15592, 1197, 117132, 120618, 5, 2]





   @classmethod
   def 						_snake_case			(			cls   )					->	Any:
      """simple docstring"""





      a__						:    MaMaaaTokenizer   		=	MaMaaaTokenizer.from_pretrained(
          cls.checkpoint_name       ,      src_lang="en"       ,      tgt_lang="fr"   )
      a__						:    List[Any]   		=	1
      return cls





   def 						_snake_case			(			self   )					->	Dict:
      """simple docstring"""





      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 						_snake_case			(			self   )					->	int:
      """simple docstring"""





      a__						:    Union[str, Any]   		=	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 						_snake_case			(			self   )					->	Any:
      """simple docstring"""





      a__						:    Optional[int]   		=	"en"
      a__						:    List[str]   		=	self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
      self.assertListEqual(self.expected_src_tokens       ,      snake_case   )





   def 						_snake_case			(			self   )					->	Any:
      """simple docstring"""





      self.assertIn(snake_case       ,      self.tokenizer.all_special_ids   )
      # fmt: off
      a__						:    Any   		=	[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
      a__						:    List[str]   		=	self.tokenizer.decode(snake_case       ,      skip_special_tokens=snake_case   )
      a__						:    List[Any]   		=	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 						_snake_case			(			self   )					->	Dict:
      """simple docstring"""





      a__						:    Union[str, Any]   		=	tempfile.mkdtemp()
      a__						:    Optional[Any]   		=	self.tokenizer.lang_token_to_id
      self.tokenizer.save_pretrained(snake_case   )
      a__						:    Optional[int]   		=	MaMaaaTokenizer.from_pretrained(snake_case   )
      self.assertDictEqual(new_tok.lang_token_to_id       ,      snake_case   )





   @require_torch
   def 						_snake_case			(			self   )					->	List[str]:
      """simple docstring"""





      a__						:    Optional[Any]   		=	"en"
      a__						:    str   		=	"fr"

      a__						:    Dict   		=	self.tokenizer(self.src_text       ,      text_target=self.tgt_text       ,      padding=snake_case       ,      return_tensors="pt"   )

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

      for k in batch:
         a__						:    Optional[int]   		=	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 						_snake_case			(			self   )					->	List[Any]:
      """simple docstring"""





      a__						:    Dict   		=	"mr"
      self.assertListEqual(self.tokenizer.prefix_tokens       ,      [self.tokenizer.get_lang_id("mr"   )]   )
      self.assertListEqual(self.tokenizer.suffix_tokens       ,      [self.tokenizer.eos_token_id]   )

      a__						:    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 						_snake_case			(			self   )					->	List[Any]:
      """simple docstring"""





      a__						:    Tuple   		=	"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   )]   )

      a__						:    str   		=	"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 						_snake_case			(			self   )					->	int:
      """simple docstring"""





      a__						:    Dict   		=	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,
          }       ,      )








# Function to print upper half of diamond (pyramid)






def    _A	(   lowerCamelCase ):
   for i in range(0				,			lowerCamelCase ):
      for _ in range(0				,			n - i - 1 ):  # printing spaces
         print(" "				,			end="" )
      for _ in range(0				,			i + 1 ):  # printing stars
         print("* "				,			end="" )
      print()






def    _A	(   lowerCamelCase ):
   for i in range(lowerCamelCase				,			0				,			-1 ):
      for _ in range(lowerCamelCase				,			0				,			-1 ):  # printing stars
         print("* "				,			end="" )
      print()
      for _ in range(n - i + 1				,			0				,			-1 ):  # printing spaces
         print(" "				,			end="" )






def    _A	(   lowerCamelCase ):
   if n <= 0:
      print("       ...       ....        nothing printing :(" )
      return
   floyd(lowerCamelCase )  # upper half
   reverse_floyd(lowerCamelCase )  # lower half


if __name__ == "__main__":
  print(R"""| /\ | |- |  |-  |--| |\  /| |-""")
  print(R"""|/  \| |- |_ |_  |__| | \/ | |_""")
  SCREAMING_SNAKE_CASE__							:      Dict         =    1
  while K:
    SCREAMING_SNAKE_CASE__							:      str         =    int(input("""enter the number and , and see the magic : """))
    print()
    pretty_print(user_number)
    SCREAMING_SNAKE_CASE__							:      Tuple         =    int(input("""press 0 to exit... and 1 to continue..."""))

  print("""Good Bye...""")

