






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


a_     :   Optional[Any]							=    get_tests_dir('''fixtures/test_sentencepiece.model''')

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

a_     :   Tuple							=    25_0004
a_     :   List[str]							=    25_0020


@require_sentencepiece
@require_tokenizers
class      lowercase__     (			snake_case__,					unittest.TestCase	):
	a_         =MBartaaTokenizer
	a_         =MBartaaTokenizerFast
	a_         =True
	a_         =True

	def 		UpperCAmelCase  (							self       )->					int:







							'''simple docstring'''





							super().setUp()

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

	def 		UpperCAmelCase  (							self       )->					Tuple:







							'''simple docstring'''





							lowerCAmelCase__       =						"<s>"
							lowerCAmelCase__       =						0

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

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







							'''simple docstring'''





							lowerCAmelCase__       =						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(lowercase_       )		,    1054       )

	def 		UpperCAmelCase  (							self       )->					int:







							'''simple docstring'''





							self.assertEqual(self.get_tokenizer().vocab_size		,    1054       )

	def 		UpperCAmelCase  (							self       )->					str:







							'''simple docstring'''





							lowerCAmelCase__       =						MBartaaTokenizer(lowercase_		,    src_lang="en_XX"		,    tgt_lang="ro_RO"		,    keep_accents=lowercase_       )

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

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(lowercase_       )		,    [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]		,    )

							lowerCAmelCase__       =						tokenizer.tokenize("I was born in 92000, and this is falsé."       )
							self.assertListEqual(
							    lowercase_		,    [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", "."]		,    )
							lowerCAmelCase__       =						tokenizer.convert_tokens_to_ids(lowercase_       )
							self.assertListEqual(
							    lowercase_		,    [
							        value + tokenizer.fairseq_offset
							        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
							    ]		,    )

							lowerCAmelCase__       =						tokenizer.convert_ids_to_tokens(lowercase_       )
							self.assertListEqual(
							    lowercase_		,    [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 		UpperCAmelCase  (							self       )->					Tuple:







							'''simple docstring'''





							lowerCAmelCase__       =						{"input_ids": [[250004, 11062, 82772, 7, 15, 82772, 538, 51529, 237, 17198, 1290, 206, 9, 215175, 1314, 136, 17198, 1290, 206, 9, 56359, 42, 122009, 9, 16466, 16, 87344, 4537, 9, 4717, 78381, 6, 159958, 7, 15, 24480, 618, 4, 527, 22693, 5428, 4, 2777, 24480, 9874, 4, 43523, 594, 4, 803, 18392, 33189, 18, 4, 43523, 24447, 12399, 100, 24955, 83658, 9626, 144057, 15, 839, 22335, 16, 136, 24955, 83658, 83479, 15, 39102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 122009, 115774, 23, 805, 1328, 46876, 7, 136, 53894, 1940, 42227, 41159, 17721, 823, 425, 4, 27512, 98722, 206, 136, 5531, 4970, 919, 17336, 5, 2], [250004, 20080, 618, 83, 82775, 47, 479, 9, 1517, 73, 53894, 333, 80581, 110117, 18811, 5256, 1295, 51, 152526, 297, 7986, 390, 124416, 538, 35431, 214, 98, 15044, 25737, 136, 7108, 43701, 23, 756, 135355, 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], [250004, 581, 63773, 119455, 6, 147797, 88203, 7, 645, 70, 21, 3285, 10269, 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=lowercase_		,    model_name="facebook/mbart-large-50"		,    revision="d3913889c59cd5c9e456b269c376325eabad57e2"		,    )


	def 		UpperCAmelCase  (							self       )->					List[Any]:







							'''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

							lowerCAmelCase__       =						(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})"       ):
																			lowerCAmelCase__       =						self.rust_tokenizer_class.from_pretrained(lowercase_		,    **lowercase_       )
																			lowerCAmelCase__       =						self.tokenizer_class.from_pretrained(lowercase_		,    **lowercase_       )

																			lowerCAmelCase__       =						tempfile.mkdtemp()

																			lowerCAmelCase__       =						tokenizer_r.save_pretrained(lowercase_       )
																			lowerCAmelCase__       =						tokenizer_p.save_pretrained(lowercase_       )

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

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

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

																			shutil.rmtree(lowercase_       )

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

																			lowerCAmelCase__       =						tokenizer_r.save_pretrained(lowercase_		,    legacy_format=lowercase_       )
																			lowerCAmelCase__       =						tokenizer_p.save_pretrained(lowercase_       )

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

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

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

																			shutil.rmtree(lowercase_       )

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

																			lowerCAmelCase__       =						tokenizer_r.save_pretrained(lowercase_		,    legacy_format=lowercase_       )
																			lowerCAmelCase__       =						tokenizer_p.save_pretrained(lowercase_       )

																			# 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
																			lowerCAmelCase__       =						tokenizer_r.from_pretrained(lowercase_       )
																			lowerCAmelCase__       =						tokenizer_p.from_pretrained(lowercase_       )

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

																			shutil.rmtree(lowercase_       )





@require_torch
@require_sentencepiece
@require_tokenizers
class      lowercase__     (			unittest.TestCase	):
	a_         ="""facebook/mbart-large-50-one-to-many-mmt"""
	a_         =[
	    """ 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.""",
	]
	a_         =[
	    """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.""",
	]
	a_         =[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 		UpperCAmelCase  (							cls       )->					Any:







							'''simple docstring'''





							lowerCAmelCase__       =						MBartaaTokenizer.from_pretrained(
							    cls.checkpoint_name		,    src_lang="en_XX"		,    tgt_lang="ro_RO"       )
							lowerCAmelCase__       =						1
							return cls

	def 		UpperCAmelCase  (							self       )->					str:







							'''simple docstring'''





							self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]		,    250001       )
							self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]		,    250004       )
							self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]		,    250020       )
							self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["mr_IN"]		,    250038       )

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







							'''simple docstring'''





							lowerCAmelCase__       =						self.tokenizer.batch_encode_plus(self.src_text       ).input_ids[0]
							self.assertListEqual(self.expected_src_tokens		,    lowercase_       )

	def 		UpperCAmelCase  (							self       )->					int:







							'''simple docstring'''





							self.assertIn(lowercase_		,    self.tokenizer.all_special_ids       )
							lowerCAmelCase__       =						[RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
							lowerCAmelCase__       =						self.tokenizer.decode(lowercase_		,    skip_special_tokens=lowercase_       )
							lowerCAmelCase__       =						self.tokenizer.decode(generated_ids[1:]		,    skip_special_tokens=lowercase_       )
							self.assertEqual(lowercase_		,    lowercase_       )
							self.assertNotIn(self.tokenizer.eos_token		,    lowercase_       )

	def 		UpperCAmelCase  (							self       )->					Tuple:







							'''simple docstring'''





							lowerCAmelCase__       =						["this is gunna be a long sentence " * 20]
							assert isinstance(src_text[0]		,    lowercase_       )
							lowerCAmelCase__       =						10
							lowerCAmelCase__       =						self.tokenizer(lowercase_		,    max_length=lowercase_		,    truncation=lowercase_       ).input_ids[0]
							self.assertEqual(ids[0]		,    lowercase_       )
							self.assertEqual(ids[-1]		,    2       )
							self.assertEqual(len(lowercase_       )		,    lowercase_       )

	def 		UpperCAmelCase  (							self       )->					Dict:







							'''simple docstring'''





							self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]       )		,    [250053, 250001]       )

	def 		UpperCAmelCase  (							self       )->					Optional[int]:







							'''simple docstring'''





							lowerCAmelCase__       =						tempfile.mkdtemp()
							lowerCAmelCase__       =						self.tokenizer.fairseq_tokens_to_ids
							self.tokenizer.save_pretrained(lowercase_       )
							lowerCAmelCase__       =						MBartaaTokenizer.from_pretrained(lowercase_       )
							self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,    lowercase_       )

	@require_torch
	def 		UpperCAmelCase  (							self       )->					Any:







							'''simple docstring'''





							lowerCAmelCase__       =						self.tokenizer(self.src_text		,    text_target=self.tgt_text		,    padding=lowercase_		,    return_tensors="pt"       )
							lowerCAmelCase__       =						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 		UpperCAmelCase  (							self       )->					Any:







							'''simple docstring'''





							lowerCAmelCase__       =						self.tokenizer(
							    self.src_text		,    text_target=self.tgt_text		,    padding=lowercase_		,    truncation=lowercase_		,    max_length=len(self.expected_src_tokens       )		,    return_tensors="pt"		,    )
							lowerCAmelCase__       =						shift_tokens_right(batch["labels"]		,    self.tokenizer.pad_token_id       )

							self.assertIsInstance(lowercase_		,    lowercase_       )

							self.assertEqual((2, 14)		,    batch.input_ids.shape       )
							self.assertEqual((2, 14)		,    batch.attention_mask.shape       )
							lowerCAmelCase__       =						batch.input_ids.tolist()[0]
							self.assertListEqual(self.expected_src_tokens		,    lowercase_       )
							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 		UpperCAmelCase  (							self       )->					Tuple:







							'''simple docstring'''





							lowerCAmelCase__       =						self.tokenizer(self.src_text		,    padding=lowercase_		,    truncation=lowercase_		,    max_length=3		,    return_tensors="pt"       )
							lowerCAmelCase__       =						self.tokenizer(
							    text_target=self.tgt_text		,    padding=lowercase_		,    truncation=lowercase_		,    max_length=10		,    return_tensors="pt"       )
							lowerCAmelCase__       =						targets["input_ids"]
							lowerCAmelCase__       =						shift_tokens_right(lowercase_		,    self.tokenizer.pad_token_id       )

							self.assertEqual(batch.input_ids.shape[1]		,    3       )
							self.assertEqual(batch.decoder_input_ids.shape[1]		,    10       )


	@require_torch
	def 		UpperCAmelCase  (							self       )->					Any:







							'''simple docstring'''





							lowerCAmelCase__       =						self.tokenizer._build_translation_inputs(
							    "A test"		,    return_tensors="pt"		,    src_lang="en_XX"		,    tgt_lang="ar_AR"       )

							self.assertEqual(
							    nested_simplify(lowercase_       )		,    {
							        # en_XX, A, test, EOS
							        "input_ids": [[250004, 62, 3034, 2]],
							        "attention_mask": [[1, 1, 1, 1]],
							        # ar_AR
							        "forced_bos_token_id": 250001,
							    }		,    )














import json
import logging
import os
import sys
from time import time
from unittest.mock import patch

from transformers.testing_utils import TestCasePlus, require_torch_tpu


logging.basicConfig(level=logging.DEBUG)

a_							=    logging.getLogger()


def        _a  (     UpperCamelCase_					:				Union[str, Any]   ) ->   Dict:
						"""simple docstring"""







						lowerCAmelCase__       =						{}
						lowerCAmelCase__       =						os.path.join(UpperCamelCase_    ,   "all_results.json"   )
						if os.path.exists(UpperCamelCase_   ):
												with open(UpperCamelCase_    ,   "r"   ) as f:
																		lowerCAmelCase__       =						json.load(UpperCamelCase_   )
						else:
												raise ValueError(F"can't find {path}"   )
						return results


a_							=    logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)





@require_torch_tpu
class      lowercase__     (			_UpperCAmelCase	):

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







							'''simple docstring'''





							import xla_spawn

							lowerCAmelCase__       =						self.get_auto_remove_tmp_dir()
							lowerCAmelCase__       =						F"\n            ./examples/pytorch/text-classification/run_glue.py\n            --num_cores=8\n            ./examples/pytorch/text-classification/run_glue.py\n            --model_name_or_path distilbert-base-uncased\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --train_file ./tests/fixtures/tests_samples/MRPC/train.csv\n            --validation_file ./tests/fixtures/tests_samples/MRPC/dev.csv\n            --do_train\n            --do_eval\n            --debug tpu_metrics_debug\n            --per_device_train_batch_size=2\n            --per_device_eval_batch_size=1\n            --learning_rate=1e-4\n            --max_steps=10\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            ".split()

							with patch.object(__UpperCAmelCase		,    "argv"		,    __UpperCAmelCase       ):
													lowerCAmelCase__       =						time()
													xla_spawn.main()
													lowerCAmelCase__       =						time()

													lowerCAmelCase__       =						get_results(__UpperCAmelCase       )
													self.assertGreaterEqual(result["eval_accuracy"]		,    0.75       )

													# Assert that the script takes less than 500 seconds to make sure it doesn't hang.
													self.assertLess(end - start		,    500       )


	def 		UpperCAmelCase  (							self       )->					Dict:







							'''simple docstring'''





							import xla_spawn

							lowerCAmelCase__       =						"\n            ./tests/test_trainer_tpu.py\n            --num_cores=8\n            ./tests/test_trainer_tpu.py\n            ".split()
							with patch.object(__UpperCAmelCase		,    "argv"		,    __UpperCAmelCase       ):
													xla_spawn.main()






