


"""simple docstring"""


import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 						_UpperCamelCase						(     lowerCAmelCase__ ,unittest.TestCase	):
							'''simple docstring'''







							__UpperCAmelCase		:					List[Any]          =LxmertTokenizer
							__UpperCAmelCase		:					int          =LxmertTokenizerFast
							__UpperCAmelCase		:					Union[str, Any]          =True
							__UpperCAmelCase		:					Tuple          =True

							def     snake_case       (  self			):
										super().setUp()

										__lowerCAmelCase       					=    [
										    "[UNK]",
										    "[CLS]",
										    "[SEP]",
										    "want",
										    "##want",
										    "##ed",
										    "wa",
										    "un",
										    "runn",
										    "##ing",
										    ",",
										    "low",
										    "lowest",
										]
										__lowerCAmelCase       					=    os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES["vocab_file"]			)
										with open(self.vocab_file					,     "w"					,     encoding="utf-8"			) as vocab_writer:
													vocab_writer.write("".join([x + "\n" for x in vocab_tokens]			)			)

							def     snake_case       (  self					,     __a			):
										__lowerCAmelCase       					=    "UNwant\u00E9d,running"
										__lowerCAmelCase       					=    "unwanted, running"
										return input_text, output_text

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.tokenizer_class(self.vocab_file			)

										__lowerCAmelCase       					=    tokenizer.tokenize("UNwant\u00E9d,running"			)
										self.assertListEqual(__a					,     ["un", "##want", "##ed", ",", "runn", "##ing"]			)
										self.assertListEqual(tokenizer.convert_tokens_to_ids(__a			)					,     [7, 4, 5, 10, 8, 9]			)



							def     snake_case       (  self			):
										if not self.test_rust_tokenizer:
													return

										__lowerCAmelCase       					=    self.get_tokenizer()
										__lowerCAmelCase       					=    self.get_rust_tokenizer()

										__lowerCAmelCase       					=    "I was born in 92000, and this is falsé."

										__lowerCAmelCase       					=    tokenizer.tokenize(__a			)
										__lowerCAmelCase       					=    rust_tokenizer.tokenize(__a			)
										self.assertListEqual(__a					,     __a			)

										__lowerCAmelCase       					=    tokenizer.encode(__a					,     add_special_tokens=__a			)
										__lowerCAmelCase       					=    rust_tokenizer.encode(__a					,     add_special_tokens=__a			)
										self.assertListEqual(__a					,     __a			)

										__lowerCAmelCase       					=    self.get_rust_tokenizer()
										__lowerCAmelCase       					=    tokenizer.encode(__a			)
										__lowerCAmelCase       					=    rust_tokenizer.encode(__a			)
										self.assertListEqual(__a					,     __a			)








"""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


A  :     Optional[int]    					=    get_tests_dir("fixtures/test_sentencepiece.model")

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

A  :     List[Any]    					=    2_5_0_0_0_4
A  :     int    					=    2_5_0_0_2_0
@require_sentencepiece
@require_tokenizers
class 						_UpperCamelCase						(     lowerCAmelCase__ ,unittest.TestCase	):
							'''simple docstring'''







							__UpperCAmelCase		:					Union[str, Any]          =MBartaaTokenizer
							__UpperCAmelCase		:					Union[str, Any]          =MBartaaTokenizerFast
							__UpperCAmelCase		:					Optional[Any]          =True
							__UpperCAmelCase		:					Tuple          =True

							def     snake_case       (  self			):
										super().setUp()

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

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    "<s>"
										__lowerCAmelCase       					=    0

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

							def     snake_case       (  self			):
										__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(__a			)					,     10_54			)

							def     snake_case       (  self			):
										self.assertEqual(self.get_tokenizer().vocab_size					,     10_54			)

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    MBartaaTokenizer(__a					,     src_lang="en_XX"					,     tgt_lang="ro_RO"					,     keep_accents=__a			)

										__lowerCAmelCase       					=    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_85, 46, 10, 1_70, 3_82]]					,     )

										__lowerCAmelCase       					=    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", "."]					,     )
										__lowerCAmelCase       					=    tokenizer.convert_tokens_to_ids(__a			)
										self.assertListEqual(
										    __a					,     [
										        value + tokenizer.fairseq_offset
										        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
										    ]					,     )

										__lowerCAmelCase       					=    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>", "."]					,     )

							@slow
							def     snake_case       (  self			):
										# fmt: off
										__lowerCAmelCase       					=    {"input_ids": [[25_00_04, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [25_00_04, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 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], [25_00_04, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 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=__a					,     model_name="facebook/mbart-large-50"					,     revision="d3913889c59cd5c9e456b269c376325eabad57e2"					,     )



							def     snake_case       (  self			):
										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(__a					,     **__a			)
																__lowerCAmelCase       					=    self.tokenizer_class.from_pretrained(__a					,     **__a			)

																__lowerCAmelCase       					=    tempfile.mkdtemp()

																__lowerCAmelCase       					=    tokenizer_r.save_pretrained(__a			)
																__lowerCAmelCase       					=    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			)			)
																__lowerCAmelCase       					=    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
																__lowerCAmelCase       					=    tokenizer_r.from_pretrained(__a			)
																__lowerCAmelCase       					=    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
																__lowerCAmelCase       					=    tempfile.mkdtemp()

																__lowerCAmelCase       					=    tokenizer_r.save_pretrained(__a					,     legacy_format=__a			)
																__lowerCAmelCase       					=    tokenizer_p.save_pretrained(__a			)

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

																# Checks everything loads correctly in the same way
																__lowerCAmelCase       					=    tokenizer_r.from_pretrained(__a			)
																__lowerCAmelCase       					=    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
																__lowerCAmelCase       					=    tempfile.mkdtemp()

																__lowerCAmelCase       					=    tokenizer_r.save_pretrained(__a					,     legacy_format=__a			)
																__lowerCAmelCase       					=    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
																__lowerCAmelCase       					=    tokenizer_r.from_pretrained(__a			)
																__lowerCAmelCase       					=    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'''







							__UpperCAmelCase		:					Union[str, Any]          ="""facebook/mbart-large-50-one-to-many-mmt"""
							__UpperCAmelCase		:					str          =[
							    """ 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.""",
							]
							__UpperCAmelCase		:					Optional[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.""",
							]
							__UpperCAmelCase		:					List[str]          =[EN_CODE, 8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2]

							@classmethod
							def     snake_case       (  cls			):
										__lowerCAmelCase       					=    MBartaaTokenizer.from_pretrained(
										    cls.checkpoint_name					,     src_lang="en_XX"					,     tgt_lang="ro_RO"			)
										__lowerCAmelCase       					=    1
										return cls

							def     snake_case       (  self			):
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]					,     25_00_01			)
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]					,     25_00_04			)
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]					,     25_00_20			)
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["mr_IN"]					,     25_00_38			)

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
										self.assertListEqual(self.expected_src_tokens					,     __a			)

							def     snake_case       (  self			):
										self.assertIn(__a					,     self.tokenizer.all_special_ids			)
										__lowerCAmelCase       					=    [RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
										__lowerCAmelCase       					=    self.tokenizer.decode(__a					,     skip_special_tokens=__a			)
										__lowerCAmelCase       					=    self.tokenizer.decode(generated_ids[1:]					,     skip_special_tokens=__a			)
										self.assertEqual(__a					,     __a			)
										self.assertNotIn(self.tokenizer.eos_token					,     __a			)

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

							def     snake_case       (  self			):
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]			)					,     [25_00_53, 25_00_01]			)

							def     snake_case       (  self			):
										__lowerCAmelCase       					=    tempfile.mkdtemp()
										__lowerCAmelCase       					=    self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(__a			)
										__lowerCAmelCase       					=    MBartaaTokenizer.from_pretrained(__a			)
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids					,     __a			)

							@require_torch
							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.tokenizer(self.src_text					,     text_target=self.tgt_text					,     padding=__a					,     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     snake_case       (  self			):
										__lowerCAmelCase       					=    self.tokenizer(
										    self.src_text					,     text_target=self.tgt_text					,     padding=__a					,     truncation=__a					,     max_length=len(self.expected_src_tokens			)					,     return_tensors="pt"					,     )
										__lowerCAmelCase       					=    shift_tokens_right(batch["labels"]					,     self.tokenizer.pad_token_id			)

										self.assertIsInstance(__a					,     __a			)

										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					,     __a			)
										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     snake_case       (  self			):
										__lowerCAmelCase       					=    self.tokenizer(self.src_text					,     padding=__a					,     truncation=__a					,     max_length=3					,     return_tensors="pt"			)
										__lowerCAmelCase       					=    self.tokenizer(
										    text_target=self.tgt_text					,     padding=__a					,     truncation=__a					,     max_length=10					,     return_tensors="pt"			)
										__lowerCAmelCase       					=    targets["input_ids"]
										__lowerCAmelCase       					=    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]					,     10			)



							@require_torch
							def     snake_case       (  self			):
										__lowerCAmelCase       					=    self.tokenizer._build_translation_inputs(
										    "A test"					,     return_tensors="pt"					,     src_lang="en_XX"					,     tgt_lang="ar_AR"			)

										self.assertEqual(
										    nested_simplify(__a			)					,     {
										        # en_XX, A, test, EOS
										        "input_ids": [[25_00_04, 62, 30_34, 2]],
										        "attention_mask": [[1, 1, 1, 1]],
										        # ar_AR
										        "forced_bos_token_id": 25_00_01,
										    }					,     )




