import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase_						=get_tests_dir("""fixtures/test_sentencepiece.model""")


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





				'''simple docstring'''



				__a							: Optional[Any]										=XLMRobertaTokenizer
				__a							: Any										=XLMRobertaTokenizerFast
				__a							: Optional[int]										=True
				__a							: str										=True



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

											# We have a SentencePiece fixture for testing
											lowerCAmelCase   =		XLMRobertaTokenizer(_UpperCAmelCase       , keep_accents=_UpperCAmelCase						)
											tokenizer.save_pretrained(self.tmpdirname						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		'''<pad>'''
											lowerCAmelCase   =		1

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



				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(_UpperCAmelCase						)       , 10_02						)



				def       __snake_case		( self						):
											self.assertEqual(self.get_tokenizer().vocab_size       , 10_02						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		XLMRobertaTokenizer(_UpperCAmelCase       , keep_accents=_UpperCAmelCase						)

											lowerCAmelCase   =		tokenizer.tokenize('''This is a test'''						)
											self.assertListEqual(_UpperCAmelCase       , ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']						)

											self.assertListEqual(
											    tokenizer.convert_tokens_to_ids(_UpperCAmelCase						)       , [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(
											    _UpperCAmelCase       , [
											        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(_UpperCAmelCase						)
											self.assertListEqual(
											    _UpperCAmelCase       , [
											        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 ^
											    ]       , )

											lowerCAmelCase   =		tokenizer.convert_ids_to_tokens(_UpperCAmelCase						)
											self.assertListEqual(
											    _UpperCAmelCase       , [
											        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						):
											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-xlm-roberta''', {})
											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(_UpperCAmelCase       , **_UpperCAmelCase						)
																									lowerCAmelCase   =		self.tokenizer_class.from_pretrained(_UpperCAmelCase       , **_UpperCAmelCase						)

																									lowerCAmelCase   =		tempfile.mkdtemp()

																									lowerCAmelCase   =		tokenizer_r.save_pretrained(_UpperCAmelCase						)
																									lowerCAmelCase   =		tokenizer_p.save_pretrained(_UpperCAmelCase						)

																									# 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(_UpperCAmelCase       , _UpperCAmelCase						)

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

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

																									shutil.rmtree(_UpperCAmelCase						)

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

																									lowerCAmelCase   =		tokenizer_r.save_pretrained(_UpperCAmelCase       , legacy_format=_UpperCAmelCase						)
																									lowerCAmelCase   =		tokenizer_p.save_pretrained(_UpperCAmelCase						)

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

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

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

																									shutil.rmtree(_UpperCAmelCase						)

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

																									lowerCAmelCase   =		tokenizer_r.save_pretrained(_UpperCAmelCase       , legacy_format=_UpperCAmelCase						)
																									lowerCAmelCase   =		tokenizer_p.save_pretrained(_UpperCAmelCase						)

																									# 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(_UpperCAmelCase						)
																									lowerCAmelCase   =		tokenizer_p.from_pretrained(_UpperCAmelCase						)

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

																									shutil.rmtree(_UpperCAmelCase						)



				@cached_property
				def       __snake_case		( self						):
											return XLMRobertaTokenizer.from_pretrained('''xlm-roberta-base'''						)



				def       __snake_case		( self						):
											with tempfile.NamedTemporaryFile() as f:
																		shutil.copyfile(_UpperCAmelCase       , f.name						)
																		lowerCAmelCase   =		XLMRobertaTokenizer(f.name       , keep_accents=_UpperCAmelCase						)
																		lowerCAmelCase   =		pickle.dumps(_UpperCAmelCase						)
											pickle.loads(_UpperCAmelCase						)



				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(_UpperCAmelCase						)
											lowerCAmelCase   =		rust_tokenizer.tokenize(_UpperCAmelCase						)
											self.assertListEqual(_UpperCAmelCase       , _UpperCAmelCase						)

											lowerCAmelCase   =		tokenizer.encode(_UpperCAmelCase       , add_special_tokens=_UpperCAmelCase						)
											lowerCAmelCase   =		rust_tokenizer.encode(_UpperCAmelCase       , add_special_tokens=_UpperCAmelCase						)
											self.assertListEqual(_UpperCAmelCase       , _UpperCAmelCase						)

											lowerCAmelCase   =		self.get_rust_tokenizer()
											lowerCAmelCase   =		tokenizer.encode(_UpperCAmelCase						)
											lowerCAmelCase   =		rust_tokenizer.encode(_UpperCAmelCase						)
											self.assertListEqual(_UpperCAmelCase       , _UpperCAmelCase						)



				@slow
				def       __snake_case		( self						):
											lowerCAmelCase   =		'''Hello World!'''
											lowerCAmelCase   =		[0, 3_53_78, 66_61, 38, 2]
											# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
											# xlmr.eval()
											# xlmr.encode(symbols)

											self.assertListEqual(_UpperCAmelCase       , self.big_tokenizer.encode(_UpperCAmelCase						)						)



				@slow
				def       __snake_case		( self						):
											lowerCAmelCase   =		(
											    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
											    ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
											)
											lowerCAmelCase   =		[
											    0,
											    32_93,
											    83,
											    10,
											    45_52,
											    49_89,
											    79_86,
											    6_78,
											    10,
											    59_15,
											    1_11,
											    17_94_59,
											    12_48_50,
											    4,
											    60_44,
											    2_37,
											    12,
											    6,
											    5,
											    6,
											    4,
											    67_80,
											    7_05,
											    15,
											    13_88,
											    44,
											    3_78,
											    1_01_14,
											    7_11,
											    1_52,
											    20,
											    6,
											    5,
											    2_23_76,
											    6_42,
											    12_21,
											    1_51_90,
											    3_41_53,
											    4_50,
											    56_08,
											    9_59,
											    11_19,
											    5_77_02,
											    1_36,
											    1_86,
											    47,
											    10_98,
											    2_93_67,
											    47,
											    # 4426, # What fairseq tokenizes from "<unk>": "_<"
											    # 3678, # What fairseq tokenizes from "<unk>": "unk"
											    # 2740, # What fairseq tokenizes from "<unk>": ">"
											    3,  # What we tokenize from "<unk>": "<unk>"
											    6,  # Residue from the tokenization: an extra sentencepiece underline
											    4,
											    60_44,
											    2_37,
											    62_84,
											    5_09_01,
											    5_28,
											    31,
											    90,
											    34,
											    9_27,
											    2,
											]
											# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
											# xlmr.eval()
											# xlmr.encode(symbols)

											self.assertListEqual(_UpperCAmelCase       , self.big_tokenizer.encode(_UpperCAmelCase						)						)






				@slow
				def       __snake_case		( self						):
											# fmt: off
											lowerCAmelCase   =		{'''input_ids''': [[0, 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], [0, 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], [0, 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=_UpperCAmelCase       , model_name='''xlm-roberta-base'''       , revision='''d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3'''       , )









from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase_						=logging.get_logger(__name__)


class 							__UpperCamelCase			( __UpperCAmelCase     ,					__UpperCAmelCase  ):





				'''simple docstring'''



				__a							: Optional[Any]										="""maskformer-swin"""

				__a							: Optional[int]										={
				    """num_attention_heads""": """num_heads""",
				    """num_hidden_layers""": """num_layers""",
				}



				def __init__( self       , UpperCAmelCase_=2_24       , UpperCAmelCase_=4       , UpperCAmelCase_=3       , UpperCAmelCase_=96       , UpperCAmelCase_=[2, 2, 6, 2]       , UpperCAmelCase_=[3, 6, 12, 24]       , UpperCAmelCase_=7       , UpperCAmelCase_=4.0       , UpperCAmelCase_=True       , UpperCAmelCase_=0.0       , UpperCAmelCase_=0.0       , UpperCAmelCase_=0.1       , UpperCAmelCase_="gelu"       , UpperCAmelCase_=False       , UpperCAmelCase_=0.02       , UpperCAmelCase_=1E-5       , UpperCAmelCase_=None       , UpperCAmelCase_=None       , **UpperCAmelCase_       , ):
											super().__init__(**UpperCAmelCase_						)

											lowerCAmelCase   =		image_size
											lowerCAmelCase   =		patch_size
											lowerCAmelCase   =		num_channels
											lowerCAmelCase   =		embed_dim
											lowerCAmelCase   =		depths
											lowerCAmelCase   =		len(UpperCAmelCase_						)
											lowerCAmelCase   =		num_heads
											lowerCAmelCase   =		window_size
											lowerCAmelCase   =		mlp_ratio
											lowerCAmelCase   =		qkv_bias
											lowerCAmelCase   =		hidden_dropout_prob
											lowerCAmelCase   =		attention_probs_dropout_prob
											lowerCAmelCase   =		drop_path_rate
											lowerCAmelCase   =		hidden_act
											lowerCAmelCase   =		use_absolute_embeddings
											lowerCAmelCase   =		layer_norm_eps
											lowerCAmelCase   =		initializer_range
											# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
											# this indicates the channel dimension after the last stage of the model
											lowerCAmelCase   =		int(embed_dim * 2 ** (len(UpperCAmelCase_						) - 1)						)
											lowerCAmelCase   =		['''stem'''] + [F"""stage{idx}""" for idx in range(1       , len(UpperCAmelCase_						) + 1						)]
											lowerCAmelCase   ,     lowerCAmelCase   =		get_aligned_output_features_output_indices(
											    out_features=UpperCAmelCase_       , out_indices=UpperCAmelCase_       , stage_names=self.stage_names						)



