




"""simple docstring"""
import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


a_				:    Optional[int]										=     get_tests_dir('''fixtures/test_sentencepiece.model''')

@require_sentencepiece
@require_tokenizers
class __lowercase(      lowercase__	,	unittest.TestCase				):




					'''simple docstring'''


					__a						:						Optional[Any]     		= ReformerTokenizer
					__a						:						Union[str, Any]     		= ReformerTokenizerFast
					__a						:						Dict     		= True
					__a						:						Optional[Any]     		= False
					__a						:						Optional[int]     		= True
					def     snake_case_				(    self     ):
								super().setUp()

								__lowerCamelCase					:	List[str]	       =				ReformerTokenizer(__a						,	keep_accents=__a     )
								tokenizer.save_pretrained(self.tmpdirname     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[Any]	       =				'<s>'
								__lowerCamelCase					:	Dict	       =				1

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(__a     )						,	__a     )
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(__a     )						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Any	       =				list(self.get_tokenizer().get_vocab().keys()     )

								self.assertEqual(vocab_keys[0]						,	'<unk>'     )
								self.assertEqual(vocab_keys[1]						,	'<s>'     )
								self.assertEqual(vocab_keys[-1]						,	'j'     )
								self.assertEqual(len(__a     )						,	1000     )
					def     snake_case_				(    self     ):
								self.assertEqual(self.get_tokenizer().vocab_size						,	1000     )
					def     snake_case_				(    self     ):
								if not self.test_rust_tokenizer:
											return

								__lowerCamelCase					:	str	       =				self.get_tokenizer()
								__lowerCamelCase					:	Optional[int]	       =				self.get_rust_tokenizer()

								__lowerCamelCase					:	Dict	       =				'I was born in 92000, and this is falsé.'

								__lowerCamelCase					:	Optional[Any]	       =				tokenizer.tokenize(__a     )
								__lowerCamelCase					:	List[str]	       =				rust_tokenizer.tokenize(__a     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	List[Any]	       =				tokenizer.encode(__a						,	add_special_tokens=__a     )
								__lowerCamelCase					:	List[str]	       =				rust_tokenizer.encode(__a						,	add_special_tokens=__a     )
								self.assertListEqual(__a						,	__a     )

								__lowerCamelCase					:	Tuple	       =				self.get_rust_tokenizer()
								__lowerCamelCase					:	List[str]	       =				tokenizer.encode(__a     )
								__lowerCamelCase					:	str	       =				rust_tokenizer.encode(__a     )
								self.assertListEqual(__a						,	__a     )
					def     snake_case_				(    self						,	__a=15     ):
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
														__lowerCamelCase					:	List[Any]	       =				self.rust_tokenizer_class.from_pretrained(__a						,	**__a     )

														# Simple input
														__lowerCamelCase					:	List[Any]	       =				'This is a simple input'
														__lowerCamelCase					:	Any	       =				['This is a simple input 1', 'This is a simple input 2']
														__lowerCamelCase					:	Dict	       =				('This is a simple input', 'This is a pair')
														__lowerCamelCase					:	List[Any]	       =				[
														    ('This is a simple input 1', 'This is a simple input 2'),
														    ('This is a simple pair 1', 'This is a simple pair 2'),
														]

														# Simple input tests
														self.assertRaises(__a						,	tokenizer_r.encode						,	__a						,	max_length=__a						,	padding='max_length'     )

														# Simple input
														self.assertRaises(__a						,	tokenizer_r.encode_plus						,	__a						,	max_length=__a						,	padding='max_length'     )

														# Simple input
														self.assertRaises(
														    __a						,	tokenizer_r.batch_encode_plus						,	__a						,	max_length=__a						,	padding='max_length'						,	)

														# Pair input
														self.assertRaises(__a						,	tokenizer_r.encode						,	__a						,	max_length=__a						,	padding='max_length'     )

														# Pair input
														self.assertRaises(__a						,	tokenizer_r.encode_plus						,	__a						,	max_length=__a						,	padding='max_length'     )

														# Pair input
														self.assertRaises(
														    __a						,	tokenizer_r.batch_encode_plus						,	__a						,	max_length=__a						,	padding='max_length'						,	)
					def     snake_case_				(    self     ):
								pass
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[Any]	       =				ReformerTokenizer(__a						,	keep_accents=__a     )

								__lowerCamelCase					:	List[str]	       =				tokenizer.tokenize('This is a test'     )
								self.assertListEqual(__a						,	['▁This', '▁is', '▁a', '▁t', 'est']     )

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(__a     )						,	[285, 46, 10, 170, 382]						,	)

								__lowerCamelCase					:	Union[str, Any]	       =				tokenizer.tokenize('I was born in 92000, and this is falsé.'     )
								self.assertListEqual(
								    __a						,	[
								        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					:	int	       =				tokenizer.convert_tokens_to_ids(__a     )
								self.assertListEqual(
								    __a						,	[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]						,	)

								__lowerCamelCase					:	Tuple	       =				tokenizer.convert_ids_to_tokens(__a     )
								self.assertListEqual(
								    __a						,	[
								        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     ):
								return ReformerTokenizer.from_pretrained('google/reformer-crime-and-punishment'     )
					@slow
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				'Hello World!'
								__lowerCamelCase					:	Optional[int]	       =				[126, 32, 262, 152, 38, 72, 287]

								self.assertListEqual(__a						,	self.big_tokenizer.encode(__a     )     )
					@slow
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[str]	       =				(
								    '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					:	Optional[Any]	       =				[
								    108,
								    265,
								    24,
								    111,
								    4,
								    258,
								    156,
								    35,
								    28,
								    275,
								    3,
								    259,
								    297,
								    260,
								    84,
								    4,
								    35,
								    110,
								    44,
								    8,
								    259,
								    91,
								    268,
								    21,
								    11,
								    209,
								    274,
								    109,
								    266,
								    277,
								    117,
								    86,
								    93,
								    315,
								    258,
								    278,
								    258,
								    277,
								    258,
								    0,
								    258,
								    288,
								    258,
								    319,
								    258,
								    0,
								    258,
								    0,
								    258,
								    0,
								    258,
								    0,
								    258,
								    287,
								    258,
								    315,
								    258,
								    289,
								    258,
								    278,
								    99,
								    269,
								    266,
								    262,
								    8,
								    259,
								    241,
								    4,
								    217,
								    230,
								    268,
								    266,
								    55,
								    168,
								    106,
								    75,
								    193,
								    266,
								    223,
								    27,
								    49,
								    26,
								    282,
								    25,
								    264,
								    299,
								    19,
								    26,
								    0,
								    258,
								    277,
								    117,
								    86,
								    93,
								    176,
								    183,
								    270,
								    11,
								    262,
								    42,
								    61,
								    265,
								]

								self.assertListEqual(__a						,	self.big_tokenizer.encode(__a     )     )
					@require_torch
					@slow
					def     snake_case_				(    self     ):
								import torch

								from transformers import ReformerConfig, ReformerModel

								# Build sequence
								__lowerCamelCase					:	Tuple	       =				list(self.big_tokenizer.get_vocab().keys()     )[:10]
								__lowerCamelCase					:	Optional[int]	       =				' '.join(__a     )
								__lowerCamelCase					:	List[Any]	       =				self.big_tokenizer.encode_plus(__a						,	return_tensors='pt'     )
								__lowerCamelCase					:	Dict	       =				self.big_tokenizer.batch_encode_plus([sequence, sequence]						,	return_tensors='pt'     )

								__lowerCamelCase					:	Optional[Any]	       =				ReformerConfig()
								# The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
								__lowerCamelCase					:	Optional[int]	       =				encoded_sequence['input_ids'].shape
								__lowerCamelCase					:	List[Any]	       =				ReformerModel(__a     )

								# Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
								assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

								with torch.no_grad():
											model(**__a     )
											model(**__a     )





					@slow
					def     snake_case_				(    self     ):
								# fmt: off
								__lowerCamelCase					:	int	       =				{'input_ids': [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], '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]]}  # noqa: E501
								# fmt: on

								# This tokenizer does not know some characters like ")".
								# That is the reason why we use very simple texts here.
								# Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
								__lowerCamelCase					:	int	       =				[
								    'This is a very simple sentence.',
								    'The quick brown fox jumps over the lazy dog.',
								]

								self.tokenizer_integration_test_util(
								    expected_encoding=__a						,	model_name='google/reformer-crime-and-punishment'						,	revision='0e6c3decb8211d49bf881013425dc8b0448b3f5a'						,	padding=__a						,	sequences=__a						,	)









"""simple docstring"""
a_				:    Dict										=     {
    '''meter''': '''m''',
    '''kilometer''': '''km''',
    '''megametre''': '''Mm''',
    '''gigametre''': '''Gm''',
    '''terametre''': '''Tm''',
    '''petametre''': '''Pm''',
    '''exametre''': '''Em''',
    '''zettametre''': '''Zm''',
    '''yottametre''': '''Ym''',
}
# Exponent of the factor(meter)
a_				:    Optional[int]										=     {
    '''m''': 0,
    '''km''': 3,
    '''Mm''': 6,
    '''Gm''': 9,
    '''Tm''': 12,
    '''Pm''': 15,
    '''Em''': 18,
    '''Zm''': 21,
    '''Ym''': 24,
}





def 						UpperCAmelCase				(			A__:    float							,				A__:    str							,				A__:    str     )  ->     float:
			__lowerCamelCase					:	List[Any]	       =				from_type.lower().strip('s'     )
			__lowerCamelCase					:	Optional[int]	       =				to_type.lower().strip('s'     )

			__lowerCamelCase					:	int	       =				UNIT_SYMBOL.get(A__							,				A__     )
			__lowerCamelCase					:	Dict	       =				UNIT_SYMBOL.get(A__							,				A__     )

			if from_sanitized not in METRIC_CONVERSION:
						__lowerCamelCase					:	Dict	       =				(
						    f'''Invalid \'from_type\' value: {from_type!r}.\n'''
						    f'''Conversion abbreviations are: {", ".join(A__     )}'''
						)
						raise ValueError(A__     )
			if to_sanitized not in METRIC_CONVERSION:
						__lowerCamelCase					:	Any	       =				(
						    f'''Invalid \'to_type\' value: {to_type!r}.\n'''
						    f'''Conversion abbreviations are: {", ".join(A__     )}'''
						)
						raise ValueError(A__     )
			__lowerCamelCase					:	Any	       =				METRIC_CONVERSION[from_sanitized]
			__lowerCamelCase					:	Tuple	       =				METRIC_CONVERSION[to_sanitized]
			__lowerCamelCase					:	Any	       =				1

			if from_exponent > to_exponent:
						__lowerCamelCase					:	Union[str, Any]	       =				from_exponent - to_exponent
			else:
						__lowerCamelCase					:	List[Any]	       =				-(to_exponent - from_exponent)

			return value * pow(10							,				A__     )


if __name__ == "__main__":
					from doctest import testmod

					testmod()



