





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       __A     (						lowerCamelCase__    ,					unittest.TestCase    ):
				__A      =				XLMRobertaTokenizer
				__A      =				XLMRobertaTokenizerFast
				__A      =				True
				__A      =				True


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

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


				def _snake_case       (		self							):
								lowerCamelCase	 ='''<pad>'''
								lowerCamelCase	 =1

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


				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(__lowerCamelCase							)   , 1002							)


				def _snake_case       (		self							):
								self.assertEqual(self.get_tokenizer().vocab_size   , 1002							)


				def _snake_case       (		self							):
								lowerCamelCase	 =XLMRobertaTokenizer(__lowerCamelCase   , keep_accents=__lowerCamelCase							)

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

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(__lowerCamelCase							)   , [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(
								    __lowerCamelCase   , [
								        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(__lowerCamelCase							)
								self.assertListEqual(
								    __lowerCamelCase   , [
								        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(__lowerCamelCase							)
								self.assertListEqual(
								    __lowerCamelCase   , [
								        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(__lowerCamelCase   , **__lowerCamelCase							)
																lowerCamelCase	 =self.tokenizer_class.from_pretrained(__lowerCamelCase   , **__lowerCamelCase							)

																lowerCamelCase	 =tempfile.mkdtemp()

																lowerCamelCase	 =tokenizer_r.save_pretrained(__lowerCamelCase							)
																lowerCamelCase	 =tokenizer_p.save_pretrained(__lowerCamelCase							)

																# 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(__lowerCamelCase   , __lowerCamelCase							)

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

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

																shutil.rmtree(__lowerCamelCase							)

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

																lowerCamelCase	 =tokenizer_r.save_pretrained(__lowerCamelCase   , legacy_format=__lowerCamelCase							)
																lowerCamelCase	 =tokenizer_p.save_pretrained(__lowerCamelCase							)

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

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

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

																shutil.rmtree(__lowerCamelCase							)

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

																lowerCamelCase	 =tokenizer_r.save_pretrained(__lowerCamelCase   , legacy_format=__lowerCamelCase							)
																lowerCamelCase	 =tokenizer_p.save_pretrained(__lowerCamelCase							)

																# 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(__lowerCamelCase							)
																lowerCamelCase	 =tokenizer_p.from_pretrained(__lowerCamelCase							)

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

																shutil.rmtree(__lowerCamelCase							)


				@cached_property
				def _snake_case       (		self							):
								return XLMRobertaTokenizer.from_pretrained("""xlm-roberta-base"""							)


				def _snake_case       (		self							):






								with tempfile.NamedTemporaryFile() as f:
												shutil.copyfile(__lowerCamelCase   , f.name							)
												lowerCamelCase	 =XLMRobertaTokenizer(f.name   , keep_accents=__lowerCamelCase							)
												lowerCamelCase	 =pickle.dumps(__lowerCamelCase							)
								pickle.loads(__lowerCamelCase							)


				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(__lowerCamelCase							)
								lowerCamelCase	 =rust_tokenizer.tokenize(__lowerCamelCase							)
								self.assertListEqual(__lowerCamelCase   , __lowerCamelCase							)

								lowerCamelCase	 =tokenizer.encode(__lowerCamelCase   , add_special_tokens=__lowerCamelCase							)
								lowerCamelCase	 =rust_tokenizer.encode(__lowerCamelCase   , add_special_tokens=__lowerCamelCase							)
								self.assertListEqual(__lowerCamelCase   , __lowerCamelCase							)

								lowerCamelCase	 =self.get_rust_tokenizer()
								lowerCamelCase	 =tokenizer.encode(__lowerCamelCase							)
								lowerCamelCase	 =rust_tokenizer.encode(__lowerCamelCase							)
								self.assertListEqual(__lowerCamelCase   , __lowerCamelCase							)


				@slow
				def _snake_case       (		self							):
								lowerCamelCase	 ='''Hello World!'''
								lowerCamelCase	 =[0, 35378, 6661, 38, 2]
								# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
								# xlmr.eval()
								# xlmr.encode(symbols)

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


				@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,
								    3293,
								    83,
								    10,
								    4552,
								    4989,
								    7986,
								    678,
								    10,
								    5915,
								    111,
								    179459,
								    124850,
								    4,
								    6044,
								    237,
								    12,
								    6,
								    5,
								    6,
								    4,
								    6780,
								    705,
								    15,
								    1388,
								    44,
								    378,
								    10114,
								    711,
								    152,
								    20,
								    6,
								    5,
								    22376,
								    642,
								    1221,
								    15190,
								    34153,
								    450,
								    5608,
								    959,
								    1119,
								    57702,
								    136,
								    186,
								    47,
								    1098,
								    29367,
								    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,
								    50901,
								    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(__lowerCamelCase   , self.big_tokenizer.encode(__lowerCamelCase							)							)


				@slow
				def _snake_case       (		self							):
								lowerCamelCase	 ={'''input_ids''': [[0, 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], [0, 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], [0, 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=__lowerCamelCase   , model_name="""xlm-roberta-base"""   , revision="""d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3"""   , )












import os

try:
							from .build_directory_md import good_file_paths
except ImportError:
							from build_directory_md import good_file_paths  # type: ignore

UpperCAmelCase__						:			List[Any]									=list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

UpperCAmelCase__						:			Dict									=[file for file in filepaths if file != file.lower()]
if upper_files:
							print(F"{len(upper_files)} files contain uppercase characters:")
							print('''\n'''.join(upper_files) + '''\n''')

UpperCAmelCase__						:			Dict									=[file for file in filepaths if ''' ''' in file]
if space_files:
							print(F"{len(space_files)} files contain space characters:")
							print('''\n'''.join(space_files) + '''\n''')

UpperCAmelCase__						:			Dict									=[file for file in filepaths if '''-''' in file]
if hyphen_files:
							print(F"{len(hyphen_files)} files contain hyphen characters:")
							print('''\n'''.join(hyphen_files) + '''\n''')

UpperCAmelCase__						:			Optional[int]									=[file for file in filepaths if os.sep not in file]
if nodir_files:
							print(F"{len(nodir_files)} files are not in a directory:")
							print('''\n'''.join(nodir_files) + '''\n''')

UpperCAmelCase__						:			str									=len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
							import sys

							sys.exit(bad_files)





