




"""simple docstring"""







import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


a      =							logging.get_logger(__name__)


a      =							{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

a      =							{
    'vocab_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
    },
}

a      =							{
    'allenai/longformer-base-4096': 4_0_9_6,
    'allenai/longformer-large-4096': 4_0_9_6,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_0_9_6,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_0_9_6,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_0_9_6,
}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 							lowercase					()     ->  List[Any]:


				'''simple docstring'''






				lowerCAmelCase  =				(
				    list(range(ord("""!""" )      ,       ord("""~""" ) + 1 ) ) + list(range(ord("""¡""" )      ,       ord("""¬""" ) + 1 ) ) + list(range(ord("""®""" )      ,       ord("""ÿ""" ) + 1 ) )
				)
				lowerCAmelCase  =				bs[:]
				lowerCAmelCase  =				0
				for b in range(2**8 ):
								if b not in bs:
												bs.append(snake_case__ )
												cs.append(2**8 + n )
												n += 1
				lowerCAmelCase  =				[chr(snake_case__ ) for n in cs]
				return dict(zip(snake_case__      ,       snake_case__ ) )





def 							lowercase					(snake_case__   : Dict )     ->  Dict:


				'''simple docstring'''






				lowerCAmelCase  =				set()
				lowerCAmelCase  =				word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								lowerCAmelCase  =				char
				return pairs






class       SCREAMING_SNAKE_CASE__					(					_a					):
						_a    						=						VOCAB_FILES_NAMES
						_a    						=						PRETRAINED_VOCAB_FILES_MAP
						_a    						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_a    						=						['input_ids', 'attention_mask']


						def __init__(							self				:			List[str]						,						lowerCAmelCase				:			Optional[int]						,						lowerCAmelCase				:			str						,						lowerCAmelCase				:			Dict="replace"						,						lowerCAmelCase				:			Tuple="<s>"						,						lowerCAmelCase				:			Dict="</s>"						,						lowerCAmelCase				:			Optional[int]="</s>"						,						lowerCAmelCase				:			str="<s>"						,						lowerCAmelCase				:			Optional[int]="<unk>"						,						lowerCAmelCase				:			str="<pad>"						,						lowerCAmelCase				:			Tuple="<mask>"						,						lowerCAmelCase				:			Dict=False						,						**lowerCAmelCase				:			Optional[Any]						,						):
										lowerCAmelCase  =				AddedToken(lowerCAmelCase						,						lstrip=lowerCAmelCase						,						rstrip=lowerCAmelCase					) if isinstance(lowerCAmelCase						,						lowerCAmelCase					) else bos_token
										lowerCAmelCase  =				AddedToken(lowerCAmelCase						,						lstrip=lowerCAmelCase						,						rstrip=lowerCAmelCase					) if isinstance(lowerCAmelCase						,						lowerCAmelCase					) else eos_token
										lowerCAmelCase  =				AddedToken(lowerCAmelCase						,						lstrip=lowerCAmelCase						,						rstrip=lowerCAmelCase					) if isinstance(lowerCAmelCase						,						lowerCAmelCase					) else sep_token
										lowerCAmelCase  =				AddedToken(lowerCAmelCase						,						lstrip=lowerCAmelCase						,						rstrip=lowerCAmelCase					) if isinstance(lowerCAmelCase						,						lowerCAmelCase					) else cls_token
										lowerCAmelCase  =				AddedToken(lowerCAmelCase						,						lstrip=lowerCAmelCase						,						rstrip=lowerCAmelCase					) if isinstance(lowerCAmelCase						,						lowerCAmelCase					) else unk_token
										lowerCAmelCase  =				AddedToken(lowerCAmelCase						,						lstrip=lowerCAmelCase						,						rstrip=lowerCAmelCase					) if isinstance(lowerCAmelCase						,						lowerCAmelCase					) else pad_token

										# Mask token behave like a normal word, i.e. include the space before it
										lowerCAmelCase  =				AddedToken(lowerCAmelCase						,						lstrip=lowerCAmelCase						,						rstrip=lowerCAmelCase					) if isinstance(lowerCAmelCase						,						lowerCAmelCase					) else mask_token

										super().__init__(
										    errors=lowerCAmelCase						,						bos_token=lowerCAmelCase						,						eos_token=lowerCAmelCase						,						unk_token=lowerCAmelCase						,						sep_token=lowerCAmelCase						,						cls_token=lowerCAmelCase						,						pad_token=lowerCAmelCase						,						mask_token=lowerCAmelCase						,						add_prefix_space=lowerCAmelCase						,						**lowerCAmelCase						,						)

										with open(lowerCAmelCase						,						encoding="""utf-8"""					) as vocab_handle:
														lowerCAmelCase  =				json.load(lowerCAmelCase					)
										lowerCAmelCase  =				{v: k for k, v in self.encoder.items()}
										lowerCAmelCase  =				errors  # how to handle errors in decoding
										lowerCAmelCase  =				bytes_to_unicode()
										lowerCAmelCase  =				{v: k for k, v in self.byte_encoder.items()}
										with open(lowerCAmelCase						,						encoding="""utf-8"""					) as merges_handle:
														lowerCAmelCase  =				merges_handle.read().split("""\n"""					)[1:-1]
										lowerCAmelCase  =				[tuple(merge.split()					) for merge in bpe_merges]
										lowerCAmelCase  =				dict(zip(lowerCAmelCase						,						range(len(lowerCAmelCase					)					)					)					)
										lowerCAmelCase  =				{}
										lowerCAmelCase  =				add_prefix_space

										# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
										lowerCAmelCase  =				re.compile(R"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""					)


						@property
						def   __lowercase (							self				:			Any					):
										return len(self.encoder					)


						def   __lowercase (							self				:			str					):
										return dict(self.encoder						,						**self.added_tokens_encoder					)


						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			Any					):
										if token in self.cache:
														return self.cache[token]
										lowerCAmelCase  =				tuple(lowerCAmelCase					)
										lowerCAmelCase  =				get_pairs(lowerCAmelCase					)

										if not pairs:
														return token

										while True:
														lowerCAmelCase  =				min(lowerCAmelCase						,						key=lambda lowerCAmelCase					: self.bpe_ranks.get(lowerCAmelCase						,						float("""inf"""					)					)					)
														if bigram not in self.bpe_ranks:
																		break
														lowerCAmelCase ,						lowerCAmelCase  =				bigram
														lowerCAmelCase  =				[]
														lowerCAmelCase  =				0
														while i < len(lowerCAmelCase					):
																		try:
																						lowerCAmelCase  =				word.index(lowerCAmelCase						,						lowerCAmelCase					)
																		except ValueError:
																						new_word.extend(word[i:]					)
																						break
																		else:
																						new_word.extend(word[i:j]					)
																						lowerCAmelCase  =				j

																		if word[i] == first and i < len(lowerCAmelCase					) - 1 and word[i + 1] == second:
																						new_word.append(first + second					)
																						i += 2
																		else:
																						new_word.append(word[i]					)
																						i += 1
														lowerCAmelCase  =				tuple(lowerCAmelCase					)
														lowerCAmelCase  =				new_word
														if len(lowerCAmelCase					) == 1:
																		break
														else:
																		lowerCAmelCase  =				get_pairs(lowerCAmelCase					)
										lowerCAmelCase  =				""" """.join(lowerCAmelCase					)
										lowerCAmelCase  =				word
										return word


						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			Dict					):
										lowerCAmelCase  =				[]
										for token in re.findall(self.pat						,						lowerCAmelCase					):
														lowerCAmelCase  =				"""""".join(
														    self.byte_encoder[b] for b in token.encode("""utf-8"""					)					)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
														bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCAmelCase					).split(""" """					)					)
										return bpe_tokens


						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			Optional[int]					):
										return self.encoder.get(lowerCAmelCase						,						self.encoder.get(self.unk_token					)					)


						def   __lowercase (							self				:			Dict						,						lowerCAmelCase				:			List[str]					):
										return self.decoder.get(lowerCAmelCase					)


						def   __lowercase (							self				:			Dict						,						lowerCAmelCase				:			str					):
										lowerCAmelCase  =				"""""".join(lowerCAmelCase					)
										lowerCAmelCase  =				bytearray([self.byte_decoder[c] for c in text]					).decode("""utf-8"""						,						errors=self.errors					)
										return text


						def   __lowercase (							self				:			int						,						lowerCAmelCase				:			str						,						lowerCAmelCase				:			Optional[str] = None					):
										if not os.path.isdir(lowerCAmelCase					):
														logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
														return
										lowerCAmelCase  =				os.path.join(
										    lowerCAmelCase						,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
										lowerCAmelCase  =				os.path.join(
										    lowerCAmelCase						,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]					)

										with open(lowerCAmelCase						,						"""w"""						,						encoding="""utf-8"""					) as f:
														f.write(json.dumps(self.encoder						,						indent=2						,						sort_keys=lowerCAmelCase						,						ensure_ascii=lowerCAmelCase					) + """\n"""					)

										lowerCAmelCase  =				0
										with open(lowerCAmelCase						,						"""w"""						,						encoding="""utf-8"""					) as writer:
														writer.write("""#version: 0.2\n"""					)
														for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,						key=lambda lowerCAmelCase					: kv[1]					):
																		if index != token_index:
																						logger.warning(
																						    f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																						    """ Please check that the tokenizer is not corrupted!"""					)
																						lowerCAmelCase  =				token_index
																		writer.write(""" """.join(lowerCAmelCase					) + """\n"""					)
																		index += 1

										return vocab_file, merge_file


						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			List[int]						,						lowerCAmelCase				:			Optional[List[int]] = None					):
										if token_ids_a is None:
														return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										lowerCAmelCase  =				[self.cls_token_id]
										lowerCAmelCase  =				[self.sep_token_id]
										return cls + token_ids_a + sep + sep + token_ids_a + sep


						def   __lowercase (							self				:			List[str]						,						lowerCAmelCase				:			List[int]						,						lowerCAmelCase				:			Optional[List[int]] = None						,						lowerCAmelCase				:			bool = False					):
										if already_has_special_tokens:
														return super().get_special_tokens_mask(
														    token_ids_a=lowerCAmelCase						,						token_ids_a=lowerCAmelCase						,						already_has_special_tokens=lowerCAmelCase					)

										if token_ids_a is None:
														return [1] + ([0] * len(lowerCAmelCase					)) + [1]
										return [1] + ([0] * len(lowerCAmelCase					)) + [1, 1] + ([0] * len(lowerCAmelCase					)) + [1]


						def   __lowercase (							self				:			str						,						lowerCAmelCase				:			List[int]						,						lowerCAmelCase				:			Optional[List[int]] = None					):
										lowerCAmelCase  =				[self.sep_token_id]
										lowerCAmelCase  =				[self.cls_token_id]

										if token_ids_a is None:
														return len(cls + token_ids_a + sep					) * [0]
										return len(cls + token_ids_a + sep + sep + token_ids_a + sep					) * [0]




						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			Optional[Any]						,						lowerCAmelCase				:			str=False						,						**lowerCAmelCase				:			int					):
										lowerCAmelCase  =				kwargs.pop("""add_prefix_space"""						,						self.add_prefix_space					)
										if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase					) > 0 and not text[0].isspace()):
														lowerCAmelCase  =				""" """ + text
										return (text, kwargs)











"""simple docstring"""







import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
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


a      =							get_tests_dir('fixtures/test_sentencepiece.model')






@require_sentencepiece
@require_tokenizers
class       SCREAMING_SNAKE_CASE__					(					_a						,				unittest.TestCase					):
						_a    						=						XGLMTokenizer
						_a    						=						XGLMTokenizerFast
						_a    						=						True
						_a    						=						True


						def   __lowercase (							self				:			Union[str, Any]					):
										super().setUp()

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


						def   __lowercase (							self				:			Union[str, Any]					):
										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   __lowercase (							self				:			List[str]					):
										lowerCAmelCase  =				list(self.get_tokenizer().get_vocab().keys()					)

										self.assertEqual(vocab_keys[0]						,						"""<s>"""					)
										self.assertEqual(vocab_keys[1]						,						"""<pad>"""					)
										self.assertEqual(len(lowerCAmelCase					)						,						1008					)


						def   __lowercase (							self				:			Optional[int]					):
										self.assertEqual(self.get_tokenizer().vocab_size						,						1008					)


						def   __lowercase (							self				:			int					):
										lowerCAmelCase  =				XGLMTokenizer(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]
										    ]						,						)

										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>""",
										        """.""",
										    ]						,						)


						@cached_property
						def   __lowercase (							self				:			Optional[Any]					):
										return XGLMTokenizer.from_pretrained("""facebook/xglm-564M"""					)


						def   __lowercase (							self				:			List[str]					):
										with tempfile.NamedTemporaryFile() as f:
														shutil.copyfile(lowerCAmelCase						,						f.name					)
														lowerCAmelCase  =				XGLMTokenizer(f.name						,						keep_accents=lowerCAmelCase					)
														lowerCAmelCase  =				pickle.dumps(lowerCAmelCase					)
										pickle.loads(lowerCAmelCase					)


						def   __lowercase (							self				:			Optional[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(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   __lowercase (							self				:			Union[str, Any]					):
										lowerCAmelCase  =				"""Hello World!"""
										lowerCAmelCase  =				[2, 3_1227, 4447, 35]

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


						@slow
						def   __lowercase (							self				:			str					):
										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"""
										)
										# fmt: off
										lowerCAmelCase  =				[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 7_1630, 2_8085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 1_3675, 377, 652, 7580, 1_0341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 20_2277, 1_7892, 33, 60, 87, 4, 3234, 157, 61, 2667, 5_2376, 19, 88, 23, 735]
										# fmt: on

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




						@slow
						def   __lowercase (							self				:			str					):
										# fmt: off
										lowerCAmelCase  =				{
										    """input_ids""": [[2, 10_8825, 1163, 15, 8_8010, 473, 1_5898, 157, 1_3672, 1857, 312, 8, 23_8021, 1163, 53, 1_3672, 1857, 312, 8, 5_3283, 18_2396, 8, 1_8566, 16, 3_6733, 4101, 8, 230, 24_4017, 12_2553, 7, 15, 13_2597, 4, 293, 1_2511, 7610, 4, 3414, 13_2597, 9, 4, 3_2361, 362, 4, 734, 2_8512, 3_2569, 18, 4, 3_2361, 2_6096, 1_4982, 73, 1_8715, 2_1433, 23_5261, 15, 492, 1_2427, 16, 53, 1_8715, 2_1433, 6_5454, 15, 2_3659, 563, 16, 278, 597, 2843, 595, 7931, 18_2396, 6_4186, 22, 886, 595, 13_2981, 53, 2_5540, 3449, 4_3982, 3_9901, 5951, 878, 330, 4, 2_7694, 8_0269, 312, 53, 6517, 1_1780, 611, 2_0408, 5], [2, 6, 13_2597, 67, 4_2897, 33, 592, 8, 16_3729, 2_5540, 361, 13_6997, 10_9514, 17_3230, 7, 501, 60, 10_2913, 196, 5631, 235, 6_3243, 473, 6, 23_1757, 74, 5277, 7905, 53, 3095, 3_7317, 22, 454, 18_3874, 5], [2, 268, 3_1298, 4_6530, 6, 13_2935, 4_3831, 7, 597, 32, 24, 3688, 9865, 5]],
										    """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, 1, 1, 1]]
										}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=lowerCAmelCase						,						model_name="""facebook/xglm-564M"""						,						padding=lowerCAmelCase						,						)





