"""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  =				get_tests_dir('''fixtures/test_sentencepiece.model''')
@require_sentencepiece
@require_tokenizers
class  _snake_case     (					a__				, unittest.TestCase		):
						snake_case__			  =			ReformerTokenizer
						snake_case__			  =			ReformerTokenizerFast
						snake_case__			  =			True
						snake_case__			  =			False
						snake_case__			  =			True






						def       lowerCamelCase__     (       self      :			Optional[int]    ):
													super().setUp()

													__lowerCamelCase					:		Tuple		   =     ReformerTokenizer(UpperCAmelCase							,					keep_accents=UpperCAmelCase    )
													tokenizer.save_pretrained(self.tmpdirname    )






						def       lowerCamelCase__     (       self      :			Tuple    ):
													__lowerCamelCase					:		Union[str, Any]		   =     "<s>"
													__lowerCamelCase					:		Tuple		   =     1

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






						def       lowerCamelCase__     (       self      :			Tuple    ):
													__lowerCamelCase					:		int		   =     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(UpperCAmelCase    )							,					1000    )






						def       lowerCamelCase__     (       self      :			int    ):
													self.assertEqual(self.get_tokenizer().vocab_size							,					1000    )






						def       lowerCamelCase__     (       self      :			Tuple    ):
													if not self.test_rust_tokenizer:
																				return

													__lowerCamelCase					:		Tuple		   =     self.get_tokenizer()
													__lowerCamelCase					:		List[str]		   =     self.get_rust_tokenizer()

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

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

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

													__lowerCamelCase					:		int		   =     self.get_rust_tokenizer()
													__lowerCamelCase					:		List[str]		   =     tokenizer.encode(UpperCAmelCase    )
													__lowerCamelCase					:		Optional[Any]		   =     rust_tokenizer.encode(UpperCAmelCase    )
													self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )






						def       lowerCamelCase__     (       self      :			Tuple							,					UpperCAmelCase      :			Optional[Any]=15    ):
													for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																				with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
																											__lowerCamelCase					:		Optional[Any]		   =     self.rust_tokenizer_class.from_pretrained(UpperCAmelCase							,					**UpperCAmelCase    )

																											# Simple input
																											__lowerCamelCase					:		Optional[int]		   =     "This is a simple input"
																											__lowerCamelCase					:		int		   =     ["This is a simple input 1", "This is a simple input 2"]
																											__lowerCamelCase					:		Any		   =     ("This is a simple input", "This is a pair")
																											__lowerCamelCase					:		Optional[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(UpperCAmelCase							,					tokenizer_r.encode							,					UpperCAmelCase							,					max_length=UpperCAmelCase							,					padding="max_length"    )

																											# Simple input
																											self.assertRaises(UpperCAmelCase							,					tokenizer_r.encode_plus							,					UpperCAmelCase							,					max_length=UpperCAmelCase							,					padding="max_length"    )

																											# Simple input
																											self.assertRaises(
																											    UpperCAmelCase							,					tokenizer_r.batch_encode_plus							,					UpperCAmelCase							,					max_length=UpperCAmelCase							,					padding="max_length"							,					)

																											# Pair input
																											self.assertRaises(UpperCAmelCase							,					tokenizer_r.encode							,					UpperCAmelCase							,					max_length=UpperCAmelCase							,					padding="max_length"    )

																											# Pair input
																											self.assertRaises(UpperCAmelCase							,					tokenizer_r.encode_plus							,					UpperCAmelCase							,					max_length=UpperCAmelCase							,					padding="max_length"    )

																											# Pair input
																											self.assertRaises(
																											    UpperCAmelCase							,					tokenizer_r.batch_encode_plus							,					UpperCAmelCase							,					max_length=UpperCAmelCase							,					padding="max_length"							,					)






						def       lowerCamelCase__     (       self      :			Union[str, Any]    ):
													pass






						def       lowerCamelCase__     (       self      :			Dict    ):
													__lowerCamelCase					:		Any		   =     ReformerTokenizer(UpperCAmelCase							,					keep_accents=UpperCAmelCase    )

													__lowerCamelCase					:		List[Any]		   =     tokenizer.tokenize("This is a test"    )
													self.assertListEqual(UpperCAmelCase							,					["▁This", "▁is", "▁a", "▁t", "est"]    )

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

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

													__lowerCamelCase					:		Dict		   =     tokenizer.convert_ids_to_tokens(UpperCAmelCase    )
													self.assertListEqual(
													    UpperCAmelCase							,					[
													        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       lowerCamelCase__     (       self      :			Dict    ):
													return ReformerTokenizer.from_pretrained("google/reformer-crime-and-punishment"    )






						@slow
						def       lowerCamelCase__     (       self      :			List[Any]    ):
													__lowerCamelCase					:		Any		   =     "Hello World!"
													__lowerCamelCase					:		Union[str, Any]		   =     [126, 32, 262, 152, 38, 72, 287]

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






						@slow
						def       lowerCamelCase__     (       self      :			Optional[Any]    ):
													__lowerCamelCase					:		Optional[Any]		   =     (
													    "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					:		Union[str, 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(UpperCAmelCase							,					self.big_tokenizer.encode(UpperCAmelCase    )    )






						@require_torch
						@slow
						def       lowerCamelCase__     (       self      :			Any    ):
													import torch

													from transformers import ReformerConfig, ReformerModel

													# Build sequence
													__lowerCamelCase					:		str		   =     list(self.big_tokenizer.get_vocab().keys()    )[:10]
													__lowerCamelCase					:		int		   =     " ".join(UpperCAmelCase    )
													__lowerCamelCase					:		Optional[Any]		   =     self.big_tokenizer.encode_plus(UpperCAmelCase							,					return_tensors="pt"    )
													__lowerCamelCase					:		Dict		   =     self.big_tokenizer.batch_encode_plus([sequence, sequence]							,					return_tensors="pt"    )

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

													# 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(**UpperCAmelCase    )
																				model(**UpperCAmelCase    )







						@slow
						def       lowerCamelCase__     (       self      :			str    ):
													# fmt: off
													__lowerCamelCase					:		str		   =     {"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					:		Optional[int]		   =     [
													    "This is a very simple sentence.",
													    "The quick brown fox jumps over the lazy dog.",
													]

													self.tokenizer_integration_test_util(
													    expected_encoding=UpperCAmelCase							,					model_name="google/reformer-crime-and-punishment"							,					revision="0e6c3decb8211d49bf881013425dc8b0448b3f5a"							,					padding=UpperCAmelCase							,					sequences=UpperCAmelCase							,					)
"""simple docstring"""





import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class  _snake_case     :
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			None
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			True
						snake_case__			  =			None
						snake_case__			  =			1
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			None
						snake_case__			  =			None






						def       lowerCamelCase__     (       self      :			Any    ):
													return self.__class__(**{k: copy.deepcopy(UpperCAmelCase    ) for k, v in self.__dict__.items()}    )