
'''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


_lowercase			:  str   							=	get_tests_dir("fixtures/test_sentencepiece.model")


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

_lowercase			:  List[str]   							=	2_5_0_0_0_4
_lowercase			:  str   							=	2_5_0_0_2_0






@require_sentencepiece
@require_tokenizers
class 			lowerCAmelCase__       (  lowerCamelCase_   ,						unittest.TestCase					):
					lowerCAmelCase_					       =					MBartTokenizer
					lowerCAmelCase_					       =					MBartTokenizerFast
					lowerCAmelCase_					       =					True
					lowerCAmelCase_					       =					True






					def      _snake_case   (       self		):


											"""simple docstring"""





											super().setUp()

											# We have a SentencePiece fixture for testing
											lowercase_     :					Any													=	MBartTokenizer(__SCREAMING_SNAKE_CASE    ,							keep_accents=__SCREAMING_SNAKE_CASE		)
											tokenizer.save_pretrained(self.tmpdirname		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Tuple													=	MBartTokenizer(__SCREAMING_SNAKE_CASE    ,							keep_accents=__SCREAMING_SNAKE_CASE		)

											lowercase_     :					Any													=	tokenizer.tokenize('''This is a test'''		)
											self.assertListEqual(__SCREAMING_SNAKE_CASE    ,							['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']		)

											self.assertListEqual(
											    tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE		)    ,							[value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]    ,							)

											lowercase_     :					Optional[int]													=	tokenizer.tokenize('''I was born in 92000, and this is falsé.'''		)
											self.assertListEqual(
											    __SCREAMING_SNAKE_CASE    ,							[
											        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(__SCREAMING_SNAKE_CASE		)
											self.assertListEqual(
											    __SCREAMING_SNAKE_CASE    ,							[
											        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]
											        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
											    ]    ,							)

											lowercase_     :					Tuple													=	tokenizer.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE		)
											self.assertListEqual(
											    __SCREAMING_SNAKE_CASE    ,							[
											        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      _snake_case   (       self		):


											"""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

											lowercase_     :					int													=	(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_     :					str													=	self.rust_tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		)
																							lowercase_     :					str													=	self.tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		)

																							lowercase_     :					int													=	tempfile.mkdtemp()

																							lowercase_     :					Union[str, Any]													=	tokenizer_r.save_pretrained(__SCREAMING_SNAKE_CASE		)
																							lowercase_     :					int													=	tokenizer_p.save_pretrained(__SCREAMING_SNAKE_CASE		)

																							# 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(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)

																							# Checks everything loads correctly in the same way
																							lowercase_     :					Dict													=	tokenizer_r.from_pretrained(__SCREAMING_SNAKE_CASE		)
																							lowercase_     :					int													=	tokenizer_p.from_pretrained(__SCREAMING_SNAKE_CASE		)

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

																							shutil.rmtree(__SCREAMING_SNAKE_CASE		)

																							# Save tokenizer rust, legacy_format=True
																							lowercase_     :					str													=	tempfile.mkdtemp()

																							lowercase_     :					Optional[Any]													=	tokenizer_r.save_pretrained(__SCREAMING_SNAKE_CASE    ,							legacy_format=__SCREAMING_SNAKE_CASE		)
																							lowercase_     :					Optional[int]													=	tokenizer_p.save_pretrained(__SCREAMING_SNAKE_CASE		)

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

																							# Checks everything loads correctly in the same way
																							lowercase_     :					Optional[Any]													=	tokenizer_r.from_pretrained(__SCREAMING_SNAKE_CASE		)
																							lowercase_     :					str													=	tokenizer_p.from_pretrained(__SCREAMING_SNAKE_CASE		)

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

																							shutil.rmtree(__SCREAMING_SNAKE_CASE		)

																							# Save tokenizer rust, legacy_format=False
																							lowercase_     :					List[Any]													=	tempfile.mkdtemp()

																							lowercase_     :					Optional[Any]													=	tokenizer_r.save_pretrained(__SCREAMING_SNAKE_CASE    ,							legacy_format=__SCREAMING_SNAKE_CASE		)
																							lowercase_     :					Union[str, Any]													=	tokenizer_p.save_pretrained(__SCREAMING_SNAKE_CASE		)

																							# 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_     :					Dict													=	tokenizer_r.from_pretrained(__SCREAMING_SNAKE_CASE		)
																							lowercase_     :					str													=	tokenizer_p.from_pretrained(__SCREAMING_SNAKE_CASE		)

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

																							shutil.rmtree(__SCREAMING_SNAKE_CASE		)







@require_torch
@require_sentencepiece
@require_tokenizers
class 			lowerCAmelCase__       (  unittest.TestCase					):
					lowerCAmelCase_					       =					'''facebook/mbart-large-en-ro'''
					lowerCAmelCase_					       =					[
					    ''' 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_					       =					[
					    '''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_					       =					[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, EN_CODE]






					@classmethod
					def      _snake_case   (       cls		):


											"""simple docstring"""





											lowercase_     :					MBartTokenizer													=	MBartTokenizer.from_pretrained(
											    cls.checkpoint_name    ,							src_lang='''en_XX'''    ,							tgt_lang='''ro_RO'''		)
											lowercase_     :					str													=	1
											return cls






					def      _snake_case   (       self		):


											"""simple docstring"""





											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		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					List[str]													=	self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
											self.assertListEqual(self.expected_src_tokens    ,							__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											self.assertIn(__SCREAMING_SNAKE_CASE    ,							self.tokenizer.all_special_ids		)
											lowercase_     :					Union[str, Any]													=	[RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
											lowercase_     :					Optional[int]													=	self.tokenizer.decode(__SCREAMING_SNAKE_CASE    ,							skip_special_tokens=__SCREAMING_SNAKE_CASE		)
											lowercase_     :					List[str]													=	self.tokenizer.decode(generated_ids[1:]    ,							skip_special_tokens=__SCREAMING_SNAKE_CASE		)
											self.assertEqual(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)
											self.assertNotIn(self.tokenizer.eos_token    ,							__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	['''this is gunna be a long sentence ''' * 20]
											assert isinstance(src_text[0]    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					List[str]													=	10
											lowercase_     :					Dict													=	self.tokenizer(__SCREAMING_SNAKE_CASE    ,							max_length=__SCREAMING_SNAKE_CASE    ,							truncation=__SCREAMING_SNAKE_CASE		).input_ids[0]
											self.assertEqual(ids[-2]    ,							2		)
											self.assertEqual(ids[-1]    ,							__SCREAMING_SNAKE_CASE		)
											self.assertEqual(len(__SCREAMING_SNAKE_CASE		)    ,							__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']		)    ,							[25_00_26, 25_00_01]		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					List[str]													=	tempfile.mkdtemp()
											lowercase_     :					Union[str, Any]													=	self.tokenizer.fairseq_tokens_to_ids
											self.tokenizer.save_pretrained(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					List[Any]													=	MBartTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE		)
											self.assertDictEqual(new_tok.fairseq_tokens_to_ids    ,							__SCREAMING_SNAKE_CASE		)






					@require_torch
					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Any													=	self.tokenizer(self.src_text    ,							text_target=self.tgt_text    ,							padding=__SCREAMING_SNAKE_CASE    ,							return_tensors='''pt'''		)
											lowercase_     :					int													=	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      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Dict													=	self.tokenizer(
											    self.src_text    ,							text_target=self.tgt_text    ,							padding=__SCREAMING_SNAKE_CASE    ,							truncation=__SCREAMING_SNAKE_CASE    ,							max_length=len(self.expected_src_tokens		)    ,							return_tensors='''pt'''    ,							)

											lowercase_     :					int													=	shift_tokens_right(batch['''labels''']    ,							self.tokenizer.pad_token_id		)

											self.assertIsInstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)

											self.assertEqual((2, 14)    ,							batch.input_ids.shape		)
											self.assertEqual((2, 14)    ,							batch.attention_mask.shape		)
											lowercase_     :					Dict													=	batch.input_ids.tolist()[0]
											self.assertListEqual(self.expected_src_tokens    ,							__SCREAMING_SNAKE_CASE		)
											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      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Optional[Any]													=	self.tokenizer(self.src_text    ,							padding=__SCREAMING_SNAKE_CASE    ,							truncation=__SCREAMING_SNAKE_CASE    ,							max_length=3    ,							return_tensors='''pt'''		)
											lowercase_     :					Dict													=	self.tokenizer(
											    text_target=self.tgt_text    ,							padding=__SCREAMING_SNAKE_CASE    ,							truncation=__SCREAMING_SNAKE_CASE    ,							max_length=10    ,							return_tensors='''pt'''		)
											lowercase_     :					List[Any]													=	targets['''input_ids''']
											lowercase_     :					Optional[Any]													=	shift_tokens_right(__SCREAMING_SNAKE_CASE    ,							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		):


											"""simple docstring"""





											lowercase_     :					int													=	self.tokenizer._build_translation_inputs(
											    '''A test'''    ,							return_tensors='''pt'''    ,							src_lang='''en_XX'''    ,							tgt_lang='''ar_AR'''		)

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





'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


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

_lowercase			:  Optional[Any]   							=	{
    "google/vit-base-patch16-224": "https://huggingface.co/vit-base-patch16-224/resolve/main/config.json",
    # See all ViT models at https://huggingface.co/models?filter=vit
}






class 			lowerCAmelCase__       (  lowerCamelCase_					):
					lowerCAmelCase_					       =					'''vit'''






					def __init__(       self    ,							__SCREAMING_SNAKE_CASE=7_68    ,							__SCREAMING_SNAKE_CASE=12    ,							__SCREAMING_SNAKE_CASE=12    ,							__SCREAMING_SNAKE_CASE=30_72    ,							__SCREAMING_SNAKE_CASE="gelu"    ,							__SCREAMING_SNAKE_CASE=0.0    ,							__SCREAMING_SNAKE_CASE=0.0    ,							__SCREAMING_SNAKE_CASE=0.02    ,							__SCREAMING_SNAKE_CASE=1E-1_2    ,							__SCREAMING_SNAKE_CASE=2_24    ,							__SCREAMING_SNAKE_CASE=16    ,							__SCREAMING_SNAKE_CASE=3    ,							__SCREAMING_SNAKE_CASE=True    ,							__SCREAMING_SNAKE_CASE=16    ,							**__SCREAMING_SNAKE_CASE    ,							):


											"""simple docstring"""





											super().__init__(**__SCREAMING_SNAKE_CASE		)

											lowercase_     :					Union[str, Any]													=	hidden_size
											lowercase_     :					Dict													=	num_hidden_layers
											lowercase_     :					List[Any]													=	num_attention_heads
											lowercase_     :					Any													=	intermediate_size
											lowercase_     :					Union[str, Any]													=	hidden_act
											lowercase_     :					Dict													=	hidden_dropout_prob
											lowercase_     :					List[str]													=	attention_probs_dropout_prob
											lowercase_     :					Any													=	initializer_range
											lowercase_     :					Tuple													=	layer_norm_eps
											lowercase_     :					Union[str, Any]													=	image_size
											lowercase_     :					Tuple													=	patch_size
											lowercase_     :					Tuple													=	num_channels
											lowercase_     :					Union[str, Any]													=	qkv_bias
											lowercase_     :					List[Any]													=	encoder_stride







class 			lowerCAmelCase__       (  lowerCamelCase_					):
					lowerCAmelCase_					       =					version.parse('''1.11'''					)






					@property
					def      _snake_case   (       self		):


											"""simple docstring"""





											return OrderedDict(
											    [
											        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
											    ]		)






					@property
					def      _snake_case   (       self		):


											"""simple docstring"""





											return 1E-4



