






import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


A__	:    Optional[int]			 = get_tests_dir('fixtures/spiece.model')







@require_sentencepiece
@require_tokenizers
class        lowercase__      (							lowerCAmelCase__,       unittest.TestCase       ):
			_UpperCAmelCase		:Any             =			AlbertTokenizer
			_UpperCAmelCase		:List[Any]             =			AlbertTokenizerFast
			_UpperCAmelCase		:Optional[int]             =			True
			_UpperCAmelCase		:Optional[Any]             =			True
			_UpperCAmelCase		:Optional[int]             =			True


			def      UpperCAmelCase__						(				self					:  int ):
										super().setUp()

										# We have a SentencePiece fixture for testing
										lowerCamelCase_	:							Tuple									=AlbertTokenizer(_SCREAMING_SNAKE_CASE )
										tokenizer.save_pretrained(self.tmpdirname )


			def      UpperCAmelCase__						(				self					:  Optional[int]       ,	snake_case__					:  Optional[Any] ):
										lowerCamelCase_	:							str									="this is a test"
										lowerCamelCase_	:							List[str]									="this is a test"
										return input_text, output_text


			def      UpperCAmelCase__						(				self					:  List[str] ):
										lowerCamelCase_	:							Tuple									="<pad>"
										lowerCamelCase_	:							Union[str, Any]									=0

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


			def      UpperCAmelCase__						(				self					:  Dict ):
										lowerCamelCase_	:							Any									=list(self.get_tokenizer().get_vocab().keys() )

										self.assertEqual(vocab_keys[0]       ,	"<pad>" )
										self.assertEqual(vocab_keys[1]       ,	"<unk>" )
										self.assertEqual(vocab_keys[-1]       ,	"▁eloquent" )
										self.assertEqual(len(_SCREAMING_SNAKE_CASE )       ,	3_0000 )


			def      UpperCAmelCase__						(				self					:  List[str] ):
										self.assertEqual(self.get_tokenizer().vocab_size       ,	3_0000 )


			def      UpperCAmelCase__						(				self					:  List[str] ):
										if not self.test_rust_tokenizer:
																	return

										lowerCamelCase_	:							str									=self.get_tokenizer()
										lowerCamelCase_	:							Dict									=self.get_rust_tokenizer()

										lowerCamelCase_	:							Tuple									="I was born in 92000, and this is falsé."

										lowerCamelCase_	:							Any									=tokenizer.tokenize(_SCREAMING_SNAKE_CASE )
										lowerCamelCase_	:							Union[str, Any]									=rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE )
										self.assertListEqual(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE )

										lowerCamelCase_	:							Optional[int]									=tokenizer.encode(_SCREAMING_SNAKE_CASE       ,	add_special_tokens=_SCREAMING_SNAKE_CASE )
										lowerCamelCase_	:							Any									=rust_tokenizer.encode(_SCREAMING_SNAKE_CASE       ,	add_special_tokens=_SCREAMING_SNAKE_CASE )
										self.assertListEqual(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE )

										lowerCamelCase_	:							Tuple									=self.get_rust_tokenizer()
										lowerCamelCase_	:							Optional[Any]									=tokenizer.encode(_SCREAMING_SNAKE_CASE )
										lowerCamelCase_	:							Any									=rust_tokenizer.encode(_SCREAMING_SNAKE_CASE )
										self.assertListEqual(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE )


			def      UpperCAmelCase__						(				self					:  int ):
										lowerCamelCase_	:							str									=AlbertTokenizer(_SCREAMING_SNAKE_CASE       ,	keep_accents=_SCREAMING_SNAKE_CASE )

										lowerCamelCase_	:							Tuple									=tokenizer.tokenize("This is a test" )
										self.assertListEqual(_SCREAMING_SNAKE_CASE       ,	["▁this", "▁is", "▁a", "▁test"] )

										self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE )       ,	[48, 25, 21, 1289] )

										lowerCamelCase_	:							str									=tokenizer.tokenize("I was born in 92000, and this is falsé." )
										self.assertListEqual(
										    _SCREAMING_SNAKE_CASE       ,	["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", "."] )
										lowerCamelCase_	:							Tuple									=tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE )
										self.assertListEqual(_SCREAMING_SNAKE_CASE       ,	[31, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9] )

										lowerCamelCase_	:							Any									=tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE )
										self.assertListEqual(
										    _SCREAMING_SNAKE_CASE       ,	["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "."]       ,	)


			def      UpperCAmelCase__						(				self					:  Dict ):
										lowerCamelCase_	:							int									=AlbertTokenizer(_SCREAMING_SNAKE_CASE )

										lowerCamelCase_	:							Any									=tokenizer.encode("sequence builders" )
										lowerCamelCase_	:							Dict									=tokenizer.encode("multi-sequence build" )

										lowerCamelCase_	:							int									=tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE )
										lowerCamelCase_	:							Union[str, Any]									=tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE )

										assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
										assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
										    tokenizer.sep_token_id
										]


			@slow
			def      UpperCAmelCase__						(				self					:  str ):
										# fmt: off
										lowerCamelCase_	:							List[str]									={"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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "input_ids": [[2, 2_1970, 13, 5, 6092, 167, 28, 7103, 2153, 673, 8, 7028, 1_2051, 18, 17, 7103, 2153, 673, 8, 3515, 1_8684, 8, 4461, 6, 1927, 297, 8, 1_2060, 2607, 18, 13, 5, 4461, 15, 1_0538, 38, 8, 135, 15, 822, 58, 15, 993, 1_0363, 15, 1460, 8005, 4461, 15, 993, 255, 2328, 9, 9, 9, 6, 26, 1112, 816, 3260, 13, 5, 103, 2377, 6, 17, 1112, 816, 2782, 13, 5, 103, 1_0641, 6, 29, 84, 2512, 2430, 782, 1_8684, 2761, 19, 808, 2430, 2556, 17, 855, 1480, 9477, 4091, 128, 1_1712, 15, 7103, 2153, 673, 17, 2_4883, 9990, 9, 3], [2, 1_1502, 25, 1006, 20, 782, 8, 1_1809, 855, 1732, 1_9393, 1_8667, 37, 367, 2_1018, 69, 1854, 34, 1_1860, 1_9124, 27, 156, 225, 17, 193, 4141, 19, 65, 9124, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 2231, 886, 2385, 1_7659, 84, 14, 1_6792, 1952, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=_SCREAMING_SNAKE_CASE       ,	model_name="albert-base-v2"       ,	revision="6b6560eaf5ff2e250b00c50f380c5389a9c2d82e"       ,	)











"""simple docstring"""



import pytest

from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested

from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows

def 			_snake_case    (					lowerCamelCase__     :   Any  )    ->     Union[str, Any]:  # picklable for multiprocessing
							return i + 1

@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def 			_snake_case    (					)    ->     List[Any]:
							with parallel_backend("spark"  ):
														assert ParallelBackendConfig.backend_name == "spark"

							lowerCamelCase_	:							Optional[Any]									=[1, 2, 3]
							with pytest.raises(lowerCamelCase__  ):
														with parallel_backend("unsupported backend"  ):
																					map_nested(lowerCamelCase__    ,						lowerCamelCase__    ,						num_proc=2  )

							with pytest.raises(lowerCamelCase__  ):
														with parallel_backend("unsupported backend"  ):
																					map_nested(lowerCamelCase__    ,						lowerCamelCase__    ,						num_proc=-1  )

@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
@pytest.mark.parametrize("num_proc"    ,						[2, -1]  )
def 			_snake_case    (					lowerCamelCase__     :   Tuple  )    ->     Optional[Any]:
							lowerCamelCase_	:							str									=[1, 2]
							lowerCamelCase_	:							List[str]									={"a": 1, "b": 2}
							lowerCamelCase_	:							List[str]									={"a": [1, 2], "b": [3, 4]}
							lowerCamelCase_	:							Optional[int]									={"a": {"1": 1}, "b": 2}
							lowerCamelCase_	:							int									={"a": 1, "b": 2, "c": 3, "d": 4}
							lowerCamelCase_	:							Optional[int]									=[2, 3]
							lowerCamelCase_	:							List[Any]									={"a": 2, "b": 3}
							lowerCamelCase_	:							int									={"a": [2, 3], "b": [4, 5]}
							lowerCamelCase_	:							str									={"a": {"1": 2}, "b": 3}
							lowerCamelCase_	:							Dict									={"a": 2, "b": 3, "c": 4, "d": 5}

							with parallel_backend("spark"  ):
														assert map_nested(lowerCamelCase__    ,						lowerCamelCase__    ,						num_proc=lowerCamelCase__  ) == expected_map_nested_sa
														assert map_nested(lowerCamelCase__    ,						lowerCamelCase__    ,						num_proc=lowerCamelCase__  ) == expected_map_nested_sa
														assert map_nested(lowerCamelCase__    ,						lowerCamelCase__    ,						num_proc=lowerCamelCase__  ) == expected_map_nested_sa
														assert map_nested(lowerCamelCase__    ,						lowerCamelCase__    ,						num_proc=lowerCamelCase__  ) == expected_map_nested_sa
														assert map_nested(lowerCamelCase__    ,						lowerCamelCase__    ,						num_proc=lowerCamelCase__  ) == expected_map_nested_sa



