



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():
	snake_case__					:     List[Any]    		=   get_tests_dir("""fixtures/test_sentencepiece.model""")


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

snake_case__					:     Dict    		=   12_80_22
snake_case__					:     Any    		=   12_80_28

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


						'''simple docstring'''





						_snake_case			:     Optional[Any]      							=      MaMaaaTokenizer
						_snake_case			:     List[str]      							=      False
						_snake_case			:     Optional[Any]      							=      False
						_snake_case			:     Union[str, Any]      							=      True



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							super().setUp()

							__lowercase		       =			["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
							__lowercase		       =			dict(zip(lowerCamelCase							,      range(len(lowerCamelCase	)	)	)	)
							__lowercase		       =			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"]	)

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



						def     _snake_case	(	self	:							List[Any]							,      **lowerCamelCase	:							Union[str, Any]	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							List[Any]							,      lowerCamelCase	:							Any	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							__lowercase		       =			"</s>"
							__lowercase		       =			0

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



						def     _snake_case	(	self	:							Optional[int]	):






							'''simple docstring'''



							__lowercase		       =			self.get_tokenizer()
							__lowercase		       =			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     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							pass



						def     _snake_case	(	self	:							Optional[Any]	):






							'''simple docstring'''



							__lowercase		       =			self.get_tokenizer()

							__lowercase		       =			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]							,      )

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

							__lowercase		       =			tokenizer.convert_tokens_to_string(lowerCamelCase	)
							self.assertEqual(lowerCamelCase							,      "This is a test"	)



						@slow
						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							__lowercase		       =			{"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   _A   ( unittest.TestCase	):


						'''simple docstring'''





						_snake_case			:     int      							=      """facebook/m2m100_418M"""
						_snake_case			:     List[str]      							=      [
						    """In my opinion, there are two levels of response from the French government.""",
						    """NSA Affair Emphasizes Complete Lack of Debate on Intelligence""",
						]
						_snake_case			:     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
						_snake_case			:     List[Any]      							=      [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     _snake_case	(	cls	:							Optional[int]	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							Optional[Any]	):






							'''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	:							List[Any]	):






							'''simple docstring'''



							__lowercase		       =			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     _snake_case	(	self	:							List[Any]	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							Any	):






							'''simple docstring'''



							self.assertIn(lowerCamelCase							,      self.tokenizer.all_special_ids	)
							# fmt: off
							__lowercase		       =			[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
							__lowercase		       =			self.tokenizer.decode(lowerCamelCase							,      skip_special_tokens=lowerCamelCase	)
							__lowercase		       =			self.tokenizer.decode(generated_ids[1:]							,      skip_special_tokens=lowerCamelCase	)
							self.assertEqual(lowerCamelCase							,      lowerCamelCase	)
							self.assertNotIn(self.tokenizer.eos_token							,      lowerCamelCase	)



						def     _snake_case	(	self	:							List[str]	):






							'''simple docstring'''



							__lowercase		       =			tempfile.mkdtemp()
							__lowercase		       =			self.tokenizer.lang_token_to_id
							self.tokenizer.save_pretrained(lowerCamelCase	)
							__lowercase		       =			MaMaaaTokenizer.from_pretrained(lowerCamelCase	)
							self.assertDictEqual(new_tok.lang_token_to_id							,      lowerCamelCase	)



						@require_torch
						def     _snake_case	(	self	:							List[str]	):






							'''simple docstring'''



							__lowercase		       =			"en"
							__lowercase		       =			"fr"

							__lowercase		       =			self.tokenizer(self.src_text							,      text_target=self.tgt_text							,      padding=lowerCamelCase							,      return_tensors="pt"	)

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

							for k in batch:
								__lowercase		       =			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	:							Union[str, Any]	):






							'''simple docstring'''



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

							__lowercase		       =			"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'''



							__lowercase		       =			"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	)]	)

							__lowercase		       =			"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'''



							__lowercase		       =			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,
							    }							,      )








from ....utils import logging


snake_case__					:     List[Any]    		=   logging.get_logger(__name__)

class   _A   ( _lowercase	):


						'''simple docstring'''





						def __init__(	self	:							List[str]							,      lowerCamelCase	:							Any							,      lowerCamelCase	:							Dict=None							,      lowerCamelCase	:							Dict=2_048	):






							'''simple docstring'''



							__lowercase		       =			config.__dict__
							__lowercase		       =			modal_hidden_size
							if num_labels:
								__lowercase		       =			num_labels



