






'''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():
     SCREAMING_SNAKE_CASE__     =       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__     =       1_2_8_0_2_2
SCREAMING_SNAKE_CASE__     =       1_2_8_0_2_8






@require_sentencepiece
class     a_						(      lowerCamelCase     ,	unittest.TestCase    ):
  lowercase							=				MaMaaaTokenizer
  lowercase							=				False
  lowercase							=				False
  lowercase							=				True

  def   A__						(				self				)  ->				Optional[Any]:



        """simple docstring"""






        super().setUp()

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

        UpperCamelCase      = MaMaaaTokenizer.from_pretrained(self.tmpdirname				)
        tokenizer.save_pretrained(self.tmpdirname				)

  def   A__						(				self      ,		**_SCREAMING_SNAKE_CASE				)  ->				List[Any]:



        """simple docstring"""






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

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				Optional[int]:



        """simple docstring"""






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

  def   A__						(				self				)  ->				int:



        """simple docstring"""






        UpperCamelCase      = """</s>"""
        UpperCamelCase      = 0

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

  def   A__						(				self				)  ->				Union[str, Any]:



        """simple docstring"""






        UpperCamelCase      = self.get_tokenizer()
        UpperCamelCase      = 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(_SCREAMING_SNAKE_CASE				)      ,		tokenizer.vocab_size + len(tokenizer.get_added_vocab()				)				)

  @unittest.skip("""Skip this test while all models are still to be uploaded."""				)
  def   A__						(				self				)  ->				Optional[Any]:



        """simple docstring"""






        pass

  def   A__						(				self				)  ->				List[str]:



        """simple docstring"""






        UpperCamelCase      = self.get_tokenizer()

        UpperCamelCase      = tokenizer.tokenize("""This is a test"""				)
        self.assertListEqual(_SCREAMING_SNAKE_CASE      ,		["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]				)

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

        UpperCamelCase      = tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]				)
        self.assertListEqual(_SCREAMING_SNAKE_CASE      ,		["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]				)

        UpperCamelCase      = tokenizer.convert_tokens_to_string(_SCREAMING_SNAKE_CASE				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		"""This is a test"""				)


  @slow
  def   A__						(				self				)  ->				Any:



        """simple docstring"""






        UpperCamelCase      = {"""input_ids""": [[128022, 110108, 397, 11, 38272, 2247, 124811, 285, 18105, 1586, 207, 7, 39534, 4428, 397, 1019, 18105, 1586, 207, 7, 41337, 16786, 241, 7, 20214, 17, 125690, 10398, 7, 44378, 58069, 68342, 7798, 7343, 11, 299, 33310, 4, 158, 37350, 94077, 4569, 299, 33310, 90, 4, 52840, 290, 4, 31270, 112, 299, 682, 4, 52840, 39953, 14079, 193, 52519, 90894, 17894, 120697, 11, 40445, 551, 17, 1019, 52519, 90894, 17756, 963, 11, 40445, 480, 17, 9792, 1120, 5173, 1393, 6240, 16786, 241, 120996, 28, 1245, 1393, 118240, 11123, 1019, 93612, 2691, 10618, 98058, 120409, 1928, 279, 4, 40683, 367, 178, 207, 1019, 103, 103121, 506, 65296, 5, 2], [128022, 21217, 367, 117, 125450, 128, 719, 7, 7308, 40, 93612, 12669, 1116, 16704, 71, 17785, 3699, 15592, 35, 144, 9584, 241, 11943, 713, 950, 799, 2247, 88427, 150, 149, 118813, 120706, 1019, 106906, 81518, 28, 1224, 22799, 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], [128022, 1658, 123311, 5155, 5578, 4722, 279, 14947, 2366, 1120, 1197, 14, 1348, 9232, 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=_SCREAMING_SNAKE_CASE      ,		model_name="""facebook/m2m100_418M"""      ,		revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e"""      ,		)






@require_torch
@require_sentencepiece
@require_tokenizers
class     a_						(      unittest.TestCase    ):
  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   A__						(				cls				)  ->				Optional[int]:



        """simple docstring"""






        UpperCamelCase      = MaMaaaTokenizer.from_pretrained(
            cls.checkpoint_name      ,		src_lang="""en"""      ,		tgt_lang="""fr"""				)
        UpperCamelCase      = 1
        return cls

  def   A__						(				self				)  ->				str:



        """simple docstring"""






        self.assertEqual(self.tokenizer.get_lang_id("""ar"""				)      ,		128006				)
        self.assertEqual(self.tokenizer.get_lang_id("""en"""				)      ,		128022				)
        self.assertEqual(self.tokenizer.get_lang_id("""ro"""				)      ,		128076				)
        self.assertEqual(self.tokenizer.get_lang_id("""mr"""				)      ,		128063				)

  def   A__						(				self				)  ->				int:



        """simple docstring"""






        UpperCamelCase      = self.tokenizer.get_vocab()
        self.assertEqual(len(_SCREAMING_SNAKE_CASE				)      ,		self.tokenizer.vocab_size				)
        self.assertEqual(vocab["""<unk>"""]      ,		3				)
        self.assertIn(self.tokenizer.get_lang_token("""en"""				)      ,		_SCREAMING_SNAKE_CASE				)

  def   A__						(				self				)  ->				Tuple:



        """simple docstring"""






        UpperCamelCase      = """en"""
        UpperCamelCase      = self.tokenizer.batch_encode_plus(self.src_text				).input_ids[0]
        self.assertListEqual(self.expected_src_tokens      ,		_SCREAMING_SNAKE_CASE				)

  def   A__						(				self				)  ->				str:



        """simple docstring"""






        self.assertIn(_SCREAMING_SNAKE_CASE      ,		self.tokenizer.all_special_ids				)
        # fmt: off
        UpperCamelCase      = [FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 14028, 136, 3286, 9706, 6, 90797, 6, 144012, 162, 88128, 30061, 5, 2]
        # fmt: on
        UpperCamelCase      = self.tokenizer.decode(_SCREAMING_SNAKE_CASE      ,		skip_special_tokens=_SCREAMING_SNAKE_CASE				)
        UpperCamelCase      = self.tokenizer.decode(generated_ids[1:]      ,		skip_special_tokens=_SCREAMING_SNAKE_CASE				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				)
        self.assertNotIn(self.tokenizer.eos_token      ,		_SCREAMING_SNAKE_CASE				)

  def   A__						(				self				)  ->				int:



        """simple docstring"""






        UpperCamelCase      = tempfile.mkdtemp()
        UpperCamelCase      = self.tokenizer.lang_token_to_id
        self.tokenizer.save_pretrained(_SCREAMING_SNAKE_CASE				)
        UpperCamelCase      = MaMaaaTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE				)
        self.assertDictEqual(new_tok.lang_token_to_id      ,		_SCREAMING_SNAKE_CASE				)

  @require_torch
  def   A__						(				self				)  ->				Optional[int]:



        """simple docstring"""






        UpperCamelCase      = """en"""
        UpperCamelCase      = """fr"""

        UpperCamelCase      = self.tokenizer(self.src_text      ,		text_target=self.tgt_text      ,		padding=_SCREAMING_SNAKE_CASE      ,		return_tensors="""pt"""				)

        UpperCamelCase      = shift_tokens_right(
            batch["""labels"""]      ,		self.tokenizer.pad_token_id      ,		self.tokenizer.eos_token_id				)

        for k in batch:
              UpperCamelCase      = 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				)  ->				Union[str, Any]:



        """simple docstring"""






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

        UpperCamelCase      = """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				)  ->				Any:



        """simple docstring"""






        UpperCamelCase      = """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				)]				)

        UpperCamelCase      = """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				)  ->				Optional[int]:



        """simple docstring"""






        UpperCamelCase      = self.tokenizer._build_translation_inputs("""A test"""      ,		return_tensors="""pt"""      ,		src_lang="""en"""      ,		tgt_lang="""ar"""				)

        self.assertEqual(
            nested_simplify(_SCREAMING_SNAKE_CASE				)      ,		{
                # en_XX, A, test, EOS
                """input_ids""": [[128022, 58, 4183, 2]],
                """attention_mask""": [[1, 1, 1, 1]],
                # ar_AR
                """forced_bos_token_id""": 128006,
            }      ,		)












'''simple docstring'''

from __future__ import annotations

import collections
import pprint
from pathlib import Path







def    lowercase__			(				__UpperCamelCase   )->			str:
      return "".join(sorted(__UpperCamelCase   )   )







def    lowercase__			(				__UpperCamelCase   )->			list[str]:
      return word_by_signature[signature(__UpperCamelCase   )]


SCREAMING_SNAKE_CASE__     =       Path(__file__).parent.joinpath('words.txt').read_text(encoding='utf-8')
SCREAMING_SNAKE_CASE__     =       sorted({word.strip().lower() for word in data.splitlines()})

SCREAMING_SNAKE_CASE__     =       collections.defaultdict(list)
for word in word_list:
     word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
     SCREAMING_SNAKE_CASE__     =       {word: anagram(word) for word in word_list if len(anagram(word)) > 1}

     with open('anagrams.txt', 'w') as file:
          file.write('all_anagrams = \n ')
          file.write(pprint.pformat(all_anagrams))
