





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


lowerCAmelCase							:       List[str]					 =	get_tests_dir("""fixtures/test_sentencepiece.model""")





@require_sentencepiece
@require_tokenizers
class 				a			(      __lowercase   ,unittest.TestCase			):
				SCREAMING_SNAKE_CASE__     :   Any		      =     XGLMTokenizer
				SCREAMING_SNAKE_CASE__     :   str		      =     XGLMTokenizerFast
				SCREAMING_SNAKE_CASE__     :   Dict		      =     True
				SCREAMING_SNAKE_CASE__     :   List[Any]		      =     True






				def 			snake_case_    (  self					):

										"""simple docstring"""




										super().setUp()

										# We have a SentencePiece fixture for testing
										__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   XGLMTokenizer(_lowerCAmelCase			, keep_accents=_lowerCAmelCase					)
										tokenizer.save_pretrained(self.tmpdirname					)






				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				int           =   '''<pad>'''
										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   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					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				int           =   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 			snake_case_    (  self					):

										"""simple docstring"""




										self.assertEqual(self.get_tokenizer().vocab_size			, 1008					)






				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Tuple           =   XGLMTokenizer(_lowerCAmelCase			, keep_accents=_lowerCAmelCase					)

										__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   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]]			, )

										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   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''',
										        '''.''',
										    ]			, )
										__SCREAMING_SNAKE_CASE:				str           =   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]
										    ]			, )

										__SCREAMING_SNAKE_CASE:				Any           =   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 			snake_case_    (  self					):

										"""simple docstring"""




										return XGLMTokenizer.from_pretrained('''facebook/xglm-564M'''					)






				def 			snake_case_    (  self					):

										"""simple docstring"""




										with tempfile.NamedTemporaryFile() as f:
																shutil.copyfile(_lowerCAmelCase			, f.name					)
																__SCREAMING_SNAKE_CASE:				Optional[int]           =   XGLMTokenizer(f.name			, keep_accents=_lowerCAmelCase					)
																__SCREAMING_SNAKE_CASE:				int           =   pickle.dumps(_lowerCAmelCase					)
										pickle.loads(_lowerCAmelCase					)






				def 			snake_case_    (  self					):

										"""simple docstring"""




										if not self.test_rust_tokenizer:
																return

										__SCREAMING_SNAKE_CASE:				List[Any]           =   self.get_tokenizer()
										__SCREAMING_SNAKE_CASE:				Dict           =   self.get_rust_tokenizer()

										__SCREAMING_SNAKE_CASE:				Optional[int]           =   '''I was born in 92000, and this is falsé.'''

										__SCREAMING_SNAKE_CASE:				List[Any]           =   tokenizer.tokenize(_lowerCAmelCase					)
										__SCREAMING_SNAKE_CASE:				str           =   rust_tokenizer.tokenize(_lowerCAmelCase					)
										self.assertListEqual(_lowerCAmelCase			, _lowerCAmelCase					)

										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   tokenizer.encode(_lowerCAmelCase			, add_special_tokens=_lowerCAmelCase					)
										__SCREAMING_SNAKE_CASE:				List[str]           =   rust_tokenizer.encode(_lowerCAmelCase			, add_special_tokens=_lowerCAmelCase					)
										self.assertListEqual(_lowerCAmelCase			, _lowerCAmelCase					)

										__SCREAMING_SNAKE_CASE:				List[str]           =   self.get_rust_tokenizer()
										__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   tokenizer.encode(_lowerCAmelCase					)
										__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   rust_tokenizer.encode(_lowerCAmelCase					)
										self.assertListEqual(_lowerCAmelCase			, _lowerCAmelCase					)






				@slow
				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				List[Any]           =   '''Hello World!'''
										__SCREAMING_SNAKE_CASE:				Tuple           =   [2, 31227, 4447, 35]

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






				@slow
				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Tuple           =   (
										    '''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
										__SCREAMING_SNAKE_CASE:				List[str]           =   [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
										# fmt: on

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






				@slow
				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   {
										    '''input_ids''': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 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			, )










from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream





class 				a			(      __lowercase			):






				def __init__(  self			, _lowerCAmelCase			, _lowerCAmelCase = None			, _lowerCAmelCase = None			, _lowerCAmelCase = False			, _lowerCAmelCase = False			, _lowerCAmelCase = None			, _lowerCAmelCase = None			, **_lowerCAmelCase			, ):

										"""simple docstring"""




										super().__init__(
										    features=_lowerCAmelCase			, cache_dir=_lowerCAmelCase			, keep_in_memory=_lowerCAmelCase			, streaming=_lowerCAmelCase			, num_proc=_lowerCAmelCase			, **_lowerCAmelCase			, )
										__SCREAMING_SNAKE_CASE:				Any           =   Generator(
										    cache_dir=_lowerCAmelCase			, features=_lowerCAmelCase			, generator=_lowerCAmelCase			, gen_kwargs=_lowerCAmelCase			, **_lowerCAmelCase			, )






				def 			snake_case_    (  self					):

										"""simple docstring"""




										if self.streaming:
																__SCREAMING_SNAKE_CASE:				List[str]           =   self.builder.as_streaming_dataset(split='''train'''					)
										# Build regular (map-style) dataset
										else:
																__SCREAMING_SNAKE_CASE:				str           =   None
																__SCREAMING_SNAKE_CASE:				List[Any]           =   None
																__SCREAMING_SNAKE_CASE:				Tuple           =   None
																__SCREAMING_SNAKE_CASE:				Optional[Any]           =   None

																self.builder.download_and_prepare(
																    download_config=_lowerCAmelCase			, download_mode=_lowerCAmelCase			, verification_mode=_lowerCAmelCase			, base_path=_lowerCAmelCase			, num_proc=self.num_proc			, )
																__SCREAMING_SNAKE_CASE:				List[str]           =   self.builder.as_dataset(
																    split='''train'''			, verification_mode=_lowerCAmelCase			, in_memory=self.keep_in_memory					)
										return dataset



