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


_lowercase:	Any       			=		get_tests_dir('''fixtures/test_sentencepiece.model''')



@require_sentencepiece
@require_tokenizers
class        lowerCamelCase__				(   UpperCAmelCase       ,unittest.TestCase				):
			UpperCamelCase__    							=ReformerTokenizer
			UpperCamelCase__    							=ReformerTokenizerFast
			UpperCamelCase__    							=True
			UpperCamelCase__    							=False
			UpperCamelCase__    							=True





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

										_lowerCAmelCase							=							ReformerTokenizer(lowercase__  ,  keep_accents=lowercase__						)
										tokenizer.save_pretrained(self.tmpdirname						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]						):
										_lowerCAmelCase							=							'<s>'
										_lowerCAmelCase							=							1

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





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]						):
										_lowerCAmelCase							=							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(lowercase__						)  ,  10_00						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										self.assertEqual(self.get_tokenizer().vocab_size  ,  10_00						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										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(lowercase__						)
										_lowerCAmelCase							=							rust_tokenizer.tokenize(lowercase__						)
										self.assertListEqual(lowercase__  ,  lowercase__						)

										_lowerCAmelCase							=							tokenizer.encode(lowercase__  ,  add_special_tokens=lowercase__						)
										_lowerCAmelCase							=							rust_tokenizer.encode(lowercase__  ,  add_special_tokens=lowercase__						)
										self.assertListEqual(lowercase__  ,  lowercase__						)

										_lowerCAmelCase							=							self.get_rust_tokenizer()
										_lowerCAmelCase							=							tokenizer.encode(lowercase__						)
										_lowerCAmelCase							=							rust_tokenizer.encode(lowercase__						)
										self.assertListEqual(lowercase__  ,  lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]  ,  lowercase__	:	Any=15						):
										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(lowercase__  ,  **lowercase__						)

																								# Simple input
																								_lowerCAmelCase							=							'This is a simple input'
																								_lowerCAmelCase							=							['This is a simple input 1', 'This is a simple input 2']
																								_lowerCAmelCase							=							('This is a simple input', 'This is a pair')
																								_lowerCAmelCase							=							[
																								    ('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(lowercase__  ,  tokenizer_r.encode  ,  lowercase__  ,  max_length=lowercase__  ,  padding='max_length'						)

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

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

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

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

																								# Pair input
																								self.assertRaises(
																								    lowercase__  ,  tokenizer_r.batch_encode_plus  ,  lowercase__  ,  max_length=lowercase__  ,  padding='max_length'  ,  )





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]						):
										pass





			def   SCREAMING_SNAKE_CASE__     (       self	:	Dict						):
										_lowerCAmelCase							=							ReformerTokenizer(lowercase__  ,  keep_accents=lowercase__						)

										_lowerCAmelCase							=							tokenizer.tokenize('This is a test'						)
										self.assertListEqual(lowercase__  ,  ['▁This', '▁is', '▁a', '▁t', 'est']						)

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(lowercase__						)  ,  [2_85, 46, 10, 1_70, 3_82]  ,  )

										_lowerCAmelCase							=							tokenizer.tokenize('I was born in 92000, and this is falsé.'						)
										self.assertListEqual(
										    lowercase__  ,  [
										        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(lowercase__						)
										self.assertListEqual(
										    lowercase__  ,  [8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]  ,  )

										_lowerCAmelCase							=							tokenizer.convert_ids_to_tokens(lowercase__						)
										self.assertListEqual(
										    lowercase__  ,  [
										        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   SCREAMING_SNAKE_CASE__     (       self	:	Dict						):
										return ReformerTokenizer.from_pretrained('google/reformer-crime-and-punishment'						)





			@slow
			def   SCREAMING_SNAKE_CASE__     (       self	:	Any						):
										_lowerCAmelCase							=							'Hello World!'
										_lowerCAmelCase							=							[1_26, 32, 2_62, 1_52, 38, 72, 2_87]

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





			@slow
			def   SCREAMING_SNAKE_CASE__     (       self	:	List[Any]						):
										_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							=							[
										    1_08,
										    2_65,
										    24,
										    1_11,
										    4,
										    2_58,
										    1_56,
										    35,
										    28,
										    2_75,
										    3,
										    2_59,
										    2_97,
										    2_60,
										    84,
										    4,
										    35,
										    1_10,
										    44,
										    8,
										    2_59,
										    91,
										    2_68,
										    21,
										    11,
										    2_09,
										    2_74,
										    1_09,
										    2_66,
										    2_77,
										    1_17,
										    86,
										    93,
										    3_15,
										    2_58,
										    2_78,
										    2_58,
										    2_77,
										    2_58,
										    0,
										    2_58,
										    2_88,
										    2_58,
										    3_19,
										    2_58,
										    0,
										    2_58,
										    0,
										    2_58,
										    0,
										    2_58,
										    0,
										    2_58,
										    2_87,
										    2_58,
										    3_15,
										    2_58,
										    2_89,
										    2_58,
										    2_78,
										    99,
										    2_69,
										    2_66,
										    2_62,
										    8,
										    2_59,
										    2_41,
										    4,
										    2_17,
										    2_30,
										    2_68,
										    2_66,
										    55,
										    1_68,
										    1_06,
										    75,
										    1_93,
										    2_66,
										    2_23,
										    27,
										    49,
										    26,
										    2_82,
										    25,
										    2_64,
										    2_99,
										    19,
										    26,
										    0,
										    2_58,
										    2_77,
										    1_17,
										    86,
										    93,
										    1_76,
										    1_83,
										    2_70,
										    11,
										    2_62,
										    42,
										    61,
										    2_65,
										]

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





			@require_torch
			@slow
			def   SCREAMING_SNAKE_CASE__     (       self	:	List[Any]						):
										import torch

										from transformers import ReformerConfig, ReformerModel

										# Build sequence
										_lowerCAmelCase							=							list(self.big_tokenizer.get_vocab().keys()						)[:10]
										_lowerCAmelCase							=							' '.join(lowercase__						)
										_lowerCAmelCase							=							self.big_tokenizer.encode_plus(lowercase__  ,  return_tensors='pt'						)
										_lowerCAmelCase							=							self.big_tokenizer.batch_encode_plus([sequence, sequence]  ,  return_tensors='pt'						)

										_lowerCAmelCase							=							ReformerConfig()
										# The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
										_lowerCAmelCase							=							encoded_sequence['input_ids'].shape
										_lowerCAmelCase							=							ReformerModel(lowercase__						)

										# 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(**lowercase__						)
																	model(**lowercase__						)





			@slow
			def   SCREAMING_SNAKE_CASE__     (       self	:	int						):
										# fmt: off
										_lowerCAmelCase							=							{'input_ids': [[1_08, 2_65, 24, 1_11, 4, 2_58, 1_56, 7, 51, 2_79, 58, 7, 76, 25, 69, 2_78], [1_40, 2_43, 2_64, 1_34, 17, 2_67, 77, 2_63, 22, 2_62, 2_97, 2_58, 3_04, 1_77, 2_79, 2_66, 14, 89, 13, 35, 2_61, 2_99, 2_72, 1_37, 2_75, 2_78]], '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							=							[
										    'This is a very simple sentence.',
										    'The quick brown fox jumps over the lazy dog.',
										]

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







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase:	List[Any]       			=		logging.get_logger(__name__)

_lowercase:	int       			=		{
    '''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json''',
}



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							="mgp-str"





			def __init__(       self	:	int  ,  lowercase__	:	List[Any]=[32, 1_28]  ,  lowercase__	:	str=4  ,  lowercase__	:	List[str]=3  ,  lowercase__	:	Tuple=27  ,  lowercase__	:	Optional[Any]=38  ,  lowercase__	:	Optional[Any]=5_02_57  ,  lowercase__	:	Dict=3_05_22  ,  lowercase__	:	Dict=7_68  ,  lowercase__	:	Tuple=12  ,  lowercase__	:	int=12  ,  lowercase__	:	int=4.0  ,  lowercase__	:	Tuple=True  ,  lowercase__	:	List[Any]=False  ,  lowercase__	:	int=1e-5  ,  lowercase__	:	int=0.0  ,  lowercase__	:	Optional[Any]=0.0  ,  lowercase__	:	List[Any]=0.0  ,  lowercase__	:	Union[str, Any]=False  ,  lowercase__	:	str=0.0_2  ,  **lowercase__	:	Optional[int]  ,  ):
										super().__init__(**lowercase__						)

										_lowerCAmelCase							=							image_size
										_lowerCAmelCase							=							patch_size
										_lowerCAmelCase							=							num_channels
										_lowerCAmelCase							=							max_token_length
										_lowerCAmelCase							=							num_character_labels
										_lowerCAmelCase							=							num_bpe_labels
										_lowerCAmelCase							=							num_wordpiece_labels
										_lowerCAmelCase							=							hidden_size
										_lowerCAmelCase							=							num_hidden_layers
										_lowerCAmelCase							=							num_attention_heads
										_lowerCAmelCase							=							mlp_ratio
										_lowerCAmelCase							=							distilled
										_lowerCAmelCase							=							layer_norm_eps
										_lowerCAmelCase							=							drop_rate
										_lowerCAmelCase							=							qkv_bias
										_lowerCAmelCase							=							attn_drop_rate
										_lowerCAmelCase							=							drop_path_rate
										_lowerCAmelCase							=							output_aa_attentions
										_lowerCAmelCase							=							initializer_range






