


'''simple docstring'''
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase   : Any             =				get_tests_dir("""fixtures/test_sentencepiece.model""")


if is_torch_available():
					from transformers.models.mbart.modeling_mbart import shift_tokens_right

lowerCAmelCase   : Any             =				2_5_0_0_0_4
lowerCAmelCase   : Union[str, Any]             =				2_5_0_0_2_0




@require_sentencepiece
@require_tokenizers
class        _UpperCamelCase	(    SCREAMING_SNAKE_CASE						,			unittest.TestCase):


				'''simple docstring'''


				_snake_case						       =				MBartTokenizer
				_snake_case						       =				MBartTokenizerFast
				_snake_case						       =				True
				_snake_case						       =				True

				def 	a__		(     self							)    ->  Union[str, Any]:
					super().setUp()

					# We have a SentencePiece fixture for testing
					lowercase						:		List[Any]   					=		MBartTokenizer(a_							,      keep_accents=a_							)
					tokenizer.save_pretrained(self.tmpdirname							)

				def 	a__		(     self							)    ->  int:
					lowercase						:		Tuple   					=		MBartTokenizer(a_							,      keep_accents=a_							)

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

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(a_							)							,      [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]							,      )

					lowercase						:		str   					=		tokenizer.tokenize("I was born in 92000, and this is falsé."							)
					self.assertListEqual(
					    a_							,      [
					        SPIECE_UNDERLINE + "I",
					        SPIECE_UNDERLINE + "was",
					        SPIECE_UNDERLINE + "b",
					        "or",
					        "n",
					        SPIECE_UNDERLINE + "in",
					        SPIECE_UNDERLINE + "",
					        "9",
					        "2",
					        "0",
					        "0",
					        "0",
					        ",",
					        SPIECE_UNDERLINE + "and",
					        SPIECE_UNDERLINE + "this",
					        SPIECE_UNDERLINE + "is",
					        SPIECE_UNDERLINE + "f",
					        "al",
					        "s",
					        "é",
					        ".",
					    ]							,      )
					lowercase						:		int   					=		tokenizer.convert_tokens_to_ids(a_							)
					self.assertListEqual(
					    a_							,      [
					        value + tokenizer.fairseq_offset
					        for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
					        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
					    ]							,      )

					lowercase						:		str   					=		tokenizer.convert_ids_to_tokens(a_							)
					self.assertListEqual(
					    a_							,      [
					        SPIECE_UNDERLINE + "I",
					        SPIECE_UNDERLINE + "was",
					        SPIECE_UNDERLINE + "b",
					        "or",
					        "n",
					        SPIECE_UNDERLINE + "in",
					        SPIECE_UNDERLINE + "",
					        "<unk>",
					        "2",
					        "0",
					        "0",
					        "0",
					        ",",
					        SPIECE_UNDERLINE + "and",
					        SPIECE_UNDERLINE + "this",
					        SPIECE_UNDERLINE + "is",
					        SPIECE_UNDERLINE + "f",
					        "al",
					        "s",
					        "<unk>",
					        ".",
					    ]							,      )


				def 	a__		(     self							)    ->  Optional[Any]:
					if not self.test_slow_tokenizer:
						# as we don't have a slow version, we can't compare the outputs between slow and fast versions
						return

					lowercase						:		List[str]   					=		(self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart", {})
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
						with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
							lowercase						:		Dict   					=		self.rust_tokenizer_class.from_pretrained(a_							,      **a_							)
							lowercase						:		List[Any]   					=		self.tokenizer_class.from_pretrained(a_							,      **a_							)

							lowercase						:		List[Any]   					=		tempfile.mkdtemp()

							lowercase						:		List[Any]   					=		tokenizer_r.save_pretrained(a_							)
							lowercase						:		Tuple   					=		tokenizer_p.save_pretrained(a_							)

							# Checks it save with the same files + the tokenizer.json file for the fast one
							self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files							)							)
							lowercase						:		Union[str, Any]   					=		tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f							)
							self.assertSequenceEqual(a_							,      a_							)

							# Checks everything loads correctly in the same way
							lowercase						:		Union[str, Any]   					=		tokenizer_r.from_pretrained(a_							)
							lowercase						:		Union[str, Any]   					=		tokenizer_p.from_pretrained(a_							)

							# Check special tokens are set accordingly on Rust and Python
							for key in tokenizer_pp.special_tokens_map:
								self.assertTrue(hasattr(a_							,      a_							)							)
								# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
								# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

							shutil.rmtree(a_							)

							# Save tokenizer rust, legacy_format=True
							lowercase						:		Any   					=		tempfile.mkdtemp()

							lowercase						:		int   					=		tokenizer_r.save_pretrained(a_							,      legacy_format=a_							)
							lowercase						:		Union[str, Any]   					=		tokenizer_p.save_pretrained(a_							)

							# Checks it save with the same files
							self.assertSequenceEqual(a_							,      a_							)

							# Checks everything loads correctly in the same way
							lowercase						:		Tuple   					=		tokenizer_r.from_pretrained(a_							)
							lowercase						:		str   					=		tokenizer_p.from_pretrained(a_							)

							# Check special tokens are set accordingly on Rust and Python
							for key in tokenizer_pp.special_tokens_map:
								self.assertTrue(hasattr(a_							,      a_							)							)

							shutil.rmtree(a_							)

							# Save tokenizer rust, legacy_format=False
							lowercase						:		Tuple   					=		tempfile.mkdtemp()

							lowercase						:		Tuple   					=		tokenizer_r.save_pretrained(a_							,      legacy_format=a_							)
							lowercase						:		Any   					=		tokenizer_p.save_pretrained(a_							)

							# Checks it saved the tokenizer.json file
							self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files							)							)

							# Checks everything loads correctly in the same way
							lowercase						:		str   					=		tokenizer_r.from_pretrained(a_							)
							lowercase						:		Optional[int]   					=		tokenizer_p.from_pretrained(a_							)

							# Check special tokens are set accordingly on Rust and Python
							for key in tokenizer_pp.special_tokens_map:
								self.assertTrue(hasattr(a_							,      a_							)							)

							shutil.rmtree(a_							)




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


				'''simple docstring'''


				_snake_case						       =				'''facebook/mbart-large-en-ro'''
				_snake_case						       =				[
				    ''' UN Chief Says There Is No Military Solution in Syria''',
				    ''' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that "there is no military solution" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.''',
				]
				_snake_case						       =				[
				    '''Şeful ONU declară că nu există o soluţie militară în Siria''',
				    '''Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'''
				    ''' pentru Siria este că "nu există o soluţie militară" la conflictul de aproape cinci ani şi că noi arme nu vor'''
				    ''' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.''',
				]
				_snake_case						       =				[8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2, EN_CODE]

				@classmethod
				def 	a__		(     cls							)    ->  Optional[Any]:
					lowercase						:		MBartTokenizer   					=		MBartTokenizer.from_pretrained(
					    cls.checkpoint_name							,      src_lang="en_XX"							,      tgt_lang="ro_RO"							)
					lowercase						:		str   					=		1
					return cls

				def 	a__		(     self							)    ->  List[Any]:
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]							,      2_5_0_0_0_1							)
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]							,      2_5_0_0_0_4							)
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]							,      2_5_0_0_2_0							)

				def 	a__		(     self							)    ->  Optional[Any]:
					lowercase						:		Tuple   					=		self.tokenizer.batch_encode_plus(self.src_text							).input_ids[0]
					self.assertListEqual(self.expected_src_tokens							,      a_							)

				def 	a__		(     self							)    ->  Dict:
					self.assertIn(a_							,      self.tokenizer.all_special_ids							)
					lowercase						:		str   					=		[RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
					lowercase						:		List[Any]   					=		self.tokenizer.decode(a_							,      skip_special_tokens=a_							)
					lowercase						:		List[Any]   					=		self.tokenizer.decode(generated_ids[1:]							,      skip_special_tokens=a_							)
					self.assertEqual(a_							,      a_							)
					self.assertNotIn(self.tokenizer.eos_token							,      a_							)

				def 	a__		(     self							)    ->  Optional[Any]:
					lowercase						:		Any   					=		["this is gunna be a long sentence " * 2_0]
					assert isinstance(src_text[0]							,      a_							)
					lowercase						:		Union[str, Any]   					=		1_0
					lowercase						:		List[Any]   					=		self.tokenizer(a_							,      max_length=a_							,      truncation=a_							).input_ids[0]
					self.assertEqual(ids[-2]							,      2							)
					self.assertEqual(ids[-1]							,      a_							)
					self.assertEqual(len(a_							)							,      a_							)

				def 	a__		(     self							)    ->  Optional[Any]:
					self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]							)							,      [2_5_0_0_2_6, 2_5_0_0_0_1]							)

				def 	a__		(     self							)    ->  Dict:
					lowercase						:		Optional[Any]   					=		tempfile.mkdtemp()
					lowercase						:		List[str]   					=		self.tokenizer.fairseq_tokens_to_ids
					self.tokenizer.save_pretrained(a_							)
					lowercase						:		List[str]   					=		MBartTokenizer.from_pretrained(a_							)
					self.assertDictEqual(new_tok.fairseq_tokens_to_ids							,      a_							)

				@require_torch
				def 	a__		(     self							)    ->  str:
					lowercase						:		List[Any]   					=		self.tokenizer(self.src_text							,      text_target=self.tgt_text							,      padding=a_							,      return_tensors="pt"							)
					lowercase						:		Dict   					=		shift_tokens_right(batch["labels"]							,      self.tokenizer.pad_token_id							)

					# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
					assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
					assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
					assert batch.decoder_input_ids[1][-1] == 2
					assert batch.labels[1][-2:].tolist() == [2, RO_CODE]

				@require_torch
				def 	a__		(     self							)    ->  List[Any]:
					lowercase						:		Tuple   					=		self.tokenizer(
					    self.src_text							,      text_target=self.tgt_text							,      padding=a_							,      truncation=a_							,      max_length=len(self.expected_src_tokens							)							,      return_tensors="pt"							,      )

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

					self.assertIsInstance(a_							,      a_							)

					self.assertEqual((2, 1_4)							,      batch.input_ids.shape							)
					self.assertEqual((2, 1_4)							,      batch.attention_mask.shape							)
					lowercase						:		Any   					=		batch.input_ids.tolist()[0]
					self.assertListEqual(self.expected_src_tokens							,      a_							)
					self.assertEqual(2							,      batch.decoder_input_ids[0, -1]							)  # EOS
					# Test that special tokens are reset
					self.assertEqual(self.tokenizer.prefix_tokens							,      []							)
					self.assertEqual(self.tokenizer.suffix_tokens							,      [self.tokenizer.eos_token_id, EN_CODE]							)

				def 	a__		(     self							)    ->  Tuple:
					lowercase						:		List[Any]   					=		self.tokenizer(self.src_text							,      padding=a_							,      truncation=a_							,      max_length=3							,      return_tensors="pt"							)
					lowercase						:		Optional[int]   					=		self.tokenizer(
					    text_target=self.tgt_text							,      padding=a_							,      truncation=a_							,      max_length=1_0							,      return_tensors="pt"							)
					lowercase						:		Union[str, Any]   					=		targets["input_ids"]
					lowercase						:		Optional[int]   					=		shift_tokens_right(a_							,      self.tokenizer.pad_token_id							)

					self.assertEqual(batch.input_ids.shape[1]							,      3							)
					self.assertEqual(batch.decoder_input_ids.shape[1]							,      1_0							)


				@require_torch
				def 	a__		(     self							)    ->  Union[str, Any]:
					lowercase						:		Tuple   					=		self.tokenizer._build_translation_inputs(
					    "A test"							,      return_tensors="pt"							,      src_lang="en_XX"							,      tgt_lang="ar_AR"							)

					self.assertEqual(
					    nested_simplify(a_							)							,      {
					        # A, test, EOS, en_XX
					        "input_ids": [[6_2, 3_0_3_4, 2, 2_5_0_0_0_4]],
					        "attention_mask": [[1, 1, 1, 1]],
					        # ar_AR
					        "forced_bos_token_id": 2_5_0_0_0_1,
					    }							,      )






'''simple docstring'''
import baseaa




def 	_A  (       A							)  ->				bytes:
	return baseaa.aaaencode(string.encode("utf-8"							)							)




def 	_A  (       A							)  ->				str:
	return baseaa.aaadecode(A							).decode("utf-8"							)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


