



'''simple docstring'''



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


lowerCAmelCase	:		Tuple				=   get_tests_dir('''fixtures/test_sentencepiece.model''')






@require_sentencepiece
@require_tokenizers
class 					UpperCAmelCase__	(		UpperCamelCase__							,       unittest.TestCase ):
					a      :     Tuple        =							XLMRobertaTokenizer
					a      :     Any        =							XLMRobertaTokenizerFast
					a      :     List[Any]        =							True
					a      :     Tuple        =							True



					def        UpperCAmelCase_ (    self     )     ->			int:
						super().setUp()

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



					def        UpperCAmelCase_ (    self     )     ->			Tuple:
						__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        UpperCAmelCase_ (    self     )     ->			Union[str, Any]:
						__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     )			,				1002     )



					def        UpperCAmelCase_ (    self     )     ->			int:
						self.assertEqual(self.get_tokenizer().vocab_size			,				1002     )



					def        UpperCAmelCase_ (    self     )     ->			List[str]:
						__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 [285, 46, 10, 170, 382]]			,				)

						__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, 602, 347, 347, 347, 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        UpperCAmelCase_ (    self     )     ->			Optional[int]:
						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        UpperCAmelCase_ (    self     )     ->			Optional[Any]:
						return XLMRobertaTokenizer.from_pretrained("xlm-roberta-base"     )



					def        UpperCAmelCase_ (    self     )     ->			Union[str, Any]:
						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        UpperCAmelCase_ (    self     )     ->			int:
						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        UpperCAmelCase_ (    self     )     ->			Dict:
						__lowerCAmelCase												=  "Hello World!"
						__lowerCAmelCase												=  [0, 3_5378, 6661, 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        UpperCAmelCase_ (    self     )     ->			int:
						__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,
						    3293,
						    83,
						    10,
						    4552,
						    4989,
						    7986,
						    678,
						    10,
						    5915,
						    111,
						    17_9459,
						    12_4850,
						    4,
						    6044,
						    237,
						    12,
						    6,
						    5,
						    6,
						    4,
						    6780,
						    705,
						    15,
						    1388,
						    44,
						    378,
						    1_0114,
						    711,
						    152,
						    20,
						    6,
						    5,
						    2_2376,
						    642,
						    1221,
						    1_5190,
						    3_4153,
						    450,
						    5608,
						    959,
						    1119,
						    5_7702,
						    136,
						    186,
						    47,
						    1098,
						    2_9367,
						    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,
						    6044,
						    237,
						    6284,
						    5_0901,
						    528,
						    31,
						    90,
						    34,
						    927,
						    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        UpperCAmelCase_ (    self     )     ->			Union[str, Any]:
						# fmt: off
						__lowerCAmelCase												=  {"input_ids": [[0, 1_1062, 8_2772, 7, 15, 8_2772, 538, 5_1529, 237, 1_7198, 1290, 206, 9, 21_5175, 1314, 136, 1_7198, 1290, 206, 9, 5_6359, 42, 12_2009, 9, 1_6466, 16, 8_7344, 4537, 9, 4717, 7_8381, 6, 15_9958, 7, 15, 2_4480, 618, 4, 527, 2_2693, 5428, 4, 2777, 2_4480, 9874, 4, 4_3523, 594, 4, 803, 1_8392, 3_3189, 18, 4, 4_3523, 2_4447, 1_2399, 100, 2_4955, 8_3658, 9626, 14_4057, 15, 839, 2_2335, 16, 136, 2_4955, 8_3658, 8_3479, 15, 3_9102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 12_2009, 11_5774, 23, 805, 1328, 4_6876, 7, 136, 5_3894, 1940, 4_2227, 4_1159, 1_7721, 823, 425, 4, 2_7512, 9_8722, 206, 136, 5531, 4970, 919, 1_7336, 5, 2], [0, 2_0080, 618, 83, 8_2775, 47, 479, 9, 1517, 73, 5_3894, 333, 8_0581, 11_0117, 1_8811, 5256, 1295, 51, 15_2526, 297, 7986, 390, 12_4416, 538, 3_5431, 214, 98, 1_5044, 2_5737, 136, 7108, 4_3701, 23, 756, 13_5355, 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, 581, 6_3773, 11_9455, 6, 14_7797, 8_8203, 7, 645, 70, 21, 3285, 1_0269, 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"			,				)




'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


lowerCAmelCase	:		Optional[Any]				=   {
    '''configuration_trocr''': ['''TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TrOCRConfig'''],
    '''processing_trocr''': ['''TrOCRProcessor'''],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		List[str]				=   [
	    '''TROCR_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TrOCRForCausalLM''',
	    '''TrOCRPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
	from .processing_trocr import TrOCRProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
	import sys

	lowerCAmelCase	:		Optional[Any]				=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)