





'''simple docstring'''


import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase_   :   Dict       =					get_tests_dir("fixtures/test_sentencepiece.model")

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

lowerCAmelCase_   :   Union[str, Any]       =					250004
lowerCAmelCase_   :   List[str]       =					250020






@require_sentencepiece
@require_tokenizers
class       UpperCamelCase__  (		__lowerCAmelCase	,unittest.TestCase     ):
	lowerCAmelCase__					:			Any								=						MBartaaTokenizer
	lowerCAmelCase__					:			List[Any]								=						MBartaaTokenizerFast
	lowerCAmelCase__					:			Any								=						True
	lowerCAmelCase__					:			Optional[Any]								=						True







	def 						__a   (				self			:   List[str]		):




				'''simple docstring'''
				super().setUp()

				# We have a SentencePiece fixture for testing
				a__     = MBartaaTokenizer(lowerCamelCase , src_lang="en_XX" , tgt_lang="ro_RO" , keep_accents=lowerCamelCase		)
				tokenizer.save_pretrained(self.tmpdirname		)







	def 						__a   (				self			:   Optional[Any]		):




				'''simple docstring'''
				a__     = "<s>"
				a__     = 0

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







	def 						__a   (				self			:   Optional[int]		):




				'''simple docstring'''
				a__     = list(self.get_tokenizer().get_vocab().keys()		)

				self.assertEqual(vocab_keys[0] , "<s>"		)
				self.assertEqual(vocab_keys[1] , "<pad>"		)
				self.assertEqual(vocab_keys[-1] , "<mask>"		)
				self.assertEqual(len(lowerCamelCase		) , 1_0_5_4		)







	def 						__a   (				self			:   Optional[Any]		):




				'''simple docstring'''
				self.assertEqual(self.get_tokenizer().vocab_size , 1_0_5_4		)







	def 						__a   (				self			:   Optional[int]		):




				'''simple docstring'''
				a__     = MBartaaTokenizer(lowerCamelCase , src_lang="en_XX" , tgt_lang="ro_RO" , keep_accents=lowerCamelCase		)

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

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

				a__     = tokenizer.tokenize("I was born in 92000, and this is falsé."		)
				self.assertListEqual(
				    lowerCamelCase , [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", "."] , )
				a__     = tokenizer.convert_tokens_to_ids(lowerCamelCase		)
				self.assertListEqual(
				    lowerCamelCase , [
				        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]
				    ] , )

				a__     = tokenizer.convert_ids_to_tokens(lowerCamelCase		)
				self.assertListEqual(
				    lowerCamelCase , [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>", "."] , )







	@slow
	def 						__a   (				self			:   Tuple		):




				'''simple docstring'''
				# fmt: off
				a__     = {"input_ids": [[2_5_0_0_0_4, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [2_5_0_0_0_4, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 7, 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], [2_5_0_0_0_4, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 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]], "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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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/mbart-large-50" , revision="d3913889c59cd5c9e456b269c376325eabad57e2" , )







	def 						__a   (				self			:   int		):




				'''simple docstring'''
				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

				a__     = (self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart50", {})
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
										a__     = self.rust_tokenizer_class.from_pretrained(lowerCamelCase , **lowerCamelCase		)
										a__     = self.tokenizer_class.from_pretrained(lowerCamelCase , **lowerCamelCase		)

										a__     = tempfile.mkdtemp()

										a__     = tokenizer_r.save_pretrained(lowerCamelCase		)
										a__     = tokenizer_p.save_pretrained(lowerCamelCase		)

										# 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		)		)
										a__     = tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f		)
										self.assertSequenceEqual(lowerCamelCase , lowerCamelCase		)

										# Checks everything loads correctly in the same way
										a__     = tokenizer_r.from_pretrained(lowerCamelCase		)
										a__     = tokenizer_p.from_pretrained(lowerCamelCase		)

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

										shutil.rmtree(lowerCamelCase		)

										# Save tokenizer rust, legacy_format=True
										a__     = tempfile.mkdtemp()

										a__     = tokenizer_r.save_pretrained(lowerCamelCase , legacy_format=lowerCamelCase		)
										a__     = tokenizer_p.save_pretrained(lowerCamelCase		)

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

										# Checks everything loads correctly in the same way
										a__     = tokenizer_r.from_pretrained(lowerCamelCase		)
										a__     = tokenizer_p.from_pretrained(lowerCamelCase		)

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

										shutil.rmtree(lowerCamelCase		)

										# Save tokenizer rust, legacy_format=False
										a__     = tempfile.mkdtemp()

										a__     = tokenizer_r.save_pretrained(lowerCamelCase , legacy_format=lowerCamelCase		)
										a__     = tokenizer_p.save_pretrained(lowerCamelCase		)

										# 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
										a__     = tokenizer_r.from_pretrained(lowerCamelCase		)
										a__     = tokenizer_p.from_pretrained(lowerCamelCase		)

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

										shutil.rmtree(lowerCamelCase		)






@require_torch
@require_sentencepiece
@require_tokenizers
class       UpperCamelCase__  (		unittest.TestCase     ):
	lowerCAmelCase__					:			List[str]								=						"facebook/mbart-large-50-one-to-many-mmt"
	lowerCAmelCase__					:			Optional[int]								=						[
	    " 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.",
	]
	lowerCAmelCase__					:			Union[str, Any]								=						[
	    "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.",
	]
	lowerCAmelCase__					:			int								=						[EN_CODE, 8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2]







	@classmethod
	def 						__a   (				cls			:   Dict		):




				'''simple docstring'''
				a__     = MBartaaTokenizer.from_pretrained(
				    cls.checkpoint_name , src_lang="en_XX" , tgt_lang="ro_RO"		)
				a__     = 1
				return cls







	def 						__a   (				self			:   List[Any]		):




				'''simple docstring'''
				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		)
				self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["mr_IN"] , 2_5_0_0_3_8		)







	def 						__a   (				self			:   int		):




				'''simple docstring'''
				a__     = self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
				self.assertListEqual(self.expected_src_tokens , lowerCamelCase		)







	def 						__a   (				self			:   List[Any]		):




				'''simple docstring'''
				self.assertIn(lowerCamelCase , self.tokenizer.all_special_ids		)
				a__     = [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]
				a__     = self.tokenizer.decode(lowerCamelCase , skip_special_tokens=lowerCamelCase		)
				a__     = self.tokenizer.decode(generated_ids[1:] , skip_special_tokens=lowerCamelCase		)
				self.assertEqual(lowerCamelCase , lowerCamelCase		)
				self.assertNotIn(self.tokenizer.eos_token , lowerCamelCase		)







	def 						__a   (				self			:   List[str]		):




				'''simple docstring'''
				a__     = ["this is gunna be a long sentence " * 2_0]
				assert isinstance(src_text[0] , lowerCamelCase		)
				a__     = 1_0
				a__     = self.tokenizer(lowerCamelCase , max_length=lowerCamelCase , truncation=lowerCamelCase		).input_ids[0]
				self.assertEqual(ids[0] , lowerCamelCase		)
				self.assertEqual(ids[-1] , 2		)
				self.assertEqual(len(lowerCamelCase		) , lowerCamelCase		)







	def 						__a   (				self			:   Tuple		):




				'''simple docstring'''
				self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]		) , [2_5_0_0_5_3, 2_5_0_0_0_1]		)







	def 						__a   (				self			:   str		):




				'''simple docstring'''
				a__     = tempfile.mkdtemp()
				a__     = self.tokenizer.fairseq_tokens_to_ids
				self.tokenizer.save_pretrained(lowerCamelCase		)
				a__     = MBartaaTokenizer.from_pretrained(lowerCamelCase		)
				self.assertDictEqual(new_tok.fairseq_tokens_to_ids , lowerCamelCase		)







	@require_torch
	def 						__a   (				self			:   Optional[Any]		):




				'''simple docstring'''
				a__     = self.tokenizer(self.src_text , text_target=self.tgt_text , padding=lowerCamelCase , return_tensors="pt"		)
				a__     = shift_tokens_right(batch["labels"] , self.tokenizer.pad_token_id		)

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







	@require_torch
	def 						__a   (				self			:   Any		):




				'''simple docstring'''
				a__     = self.tokenizer(
				    self.src_text , text_target=self.tgt_text , padding=lowerCamelCase , truncation=lowerCamelCase , max_length=len(self.expected_src_tokens		) , return_tensors="pt" , )
				a__     = shift_tokens_right(batch["labels"] , self.tokenizer.pad_token_id		)

				self.assertIsInstance(lowerCamelCase , lowerCamelCase		)

				self.assertEqual((2, 1_4) , batch.input_ids.shape		)
				self.assertEqual((2, 1_4) , batch.attention_mask.shape		)
				a__     = batch.input_ids.tolist()[0]
				self.assertListEqual(self.expected_src_tokens , lowerCamelCase		)
				self.assertEqual(2 , batch.decoder_input_ids[0, 0]		)  # decoder_start_token_id
				# Test that special tokens are reset
				self.assertEqual(self.tokenizer.prefix_tokens , [EN_CODE]		)
				self.assertEqual(self.tokenizer.suffix_tokens , [self.tokenizer.eos_token_id]		)







	def 						__a   (				self			:   Union[str, Any]		):




				'''simple docstring'''
				a__     = self.tokenizer(self.src_text , padding=lowerCamelCase , truncation=lowerCamelCase , max_length=3 , return_tensors="pt"		)
				a__     = self.tokenizer(
				    text_target=self.tgt_text , padding=lowerCamelCase , truncation=lowerCamelCase , max_length=1_0 , return_tensors="pt"		)
				a__     = targets["input_ids"]
				a__     = shift_tokens_right(lowerCamelCase , 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			:   Optional[int]		):




				'''simple docstring'''
				a__     = self.tokenizer._build_translation_inputs(
				    "A test" , return_tensors="pt" , src_lang="en_XX" , tgt_lang="ar_AR"		)

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










'''simple docstring'''


import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script






@require_cpu
class       UpperCamelCase__  (		unittest.TestCase     ):







	def 						__a   (				self			:   List[str]		):




				'''simple docstring'''
				debug_launcher(test_script.main		)







	def 						__a   (				self			:   Dict		):




				'''simple docstring'''
				debug_launcher(test_ops.main		)



