


'''simple docstring'''





import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 						a__					(					a_      ,  unittest.TestCase   ):





			'''simple docstring'''

			A						:				List[Any]					      =			LongformerTokenizer
			A						:				Dict					      =			True
			A						:				int					      =			LongformerTokenizerFast
			A						:				List[Any]					      =			True
			def 					lowerCAmelCase     (  self							:			Optional[Any]	)      ->		Union[str, Any]:
						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						__A=	[
						    'l',
						    'o',
						    'w',
						    'e',
						    'r',
						    's',
						    't',
						    'i',
						    'd',
						    'n',
						    '\u0120',
						    '\u0120l',
						    '\u0120n',
						    '\u0120lo',
						    '\u0120low',
						    'er',
						    '\u0120lowest',
						    '\u0120newer',
						    '\u0120wider',
						    '<unk>',
						]
						__A=	dict(zip(lowerCAmelCase_			,    range(len(lowerCAmelCase_	)	)	)	)
						__A=	['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
						__A=	{'unk_token': '<unk>'}

						__A=	os.path.join(self.tmpdirname			,    VOCAB_FILES_NAMES['vocab_file']	)
						__A=	os.path.join(self.tmpdirname			,    VOCAB_FILES_NAMES['merges_file']	)
						with open(self.vocab_file			,    'w'			,    encoding='utf-8'	) as fp:
									fp.write(json.dumps(lowerCAmelCase_	) + '\n'	)
						with open(self.merges_file			,    'w'			,    encoding='utf-8'	) as fp:
									fp.write('\n'.join(lowerCAmelCase_	)	)
			def 					lowerCAmelCase     (  self							:			Optional[Any]			,    **lowerCAmelCase_							:			Optional[int]	)      ->		Tuple:
						kwargs.update(self.special_tokens_map	)
						return self.tokenizer_class.from_pretrained(self.tmpdirname			,    **lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Optional[Any]			,    **lowerCAmelCase_							:			int	)      ->		List[str]:
						kwargs.update(self.special_tokens_map	)
						return self.rust_tokenizer_class.from_pretrained(self.tmpdirname			,    **lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			List[Any]			,    lowerCAmelCase_							:			List[str]	)      ->		Union[str, Any]:
						__A=	'lower newer'
						__A=	'lower newer'
						return input_text, output_text
			def 					lowerCAmelCase     (  self							:			Dict	)      ->		Union[str, Any]:
						__A=	self.tokenizer_class(self.vocab_file			,    self.merges_file			,    **self.special_tokens_map	)
						__A=	'lower newer'
						__A=	['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
						__A=	tokenizer.tokenize(lowerCAmelCase_	)  # , add_prefix_space=True)
						self.assertListEqual(lowerCAmelCase_			,    lowerCAmelCase_	)

						__A=	tokens + [tokenizer.unk_token]
						__A=	[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_	)			,    lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			List[Any]	)      ->		Optional[Any]:
						__A=	self.get_tokenizer()

						self.assertListEqual(tokenizer.encode('Hello world!'			,    add_special_tokens=lowerCAmelCase_	)			,    [0, 31_414, 232, 328, 2]	)
						self.assertListEqual(
						    tokenizer.encode('Hello world! cécé herlolip 418'			,    add_special_tokens=lowerCAmelCase_	)			,    [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]			,    )
			@slow
			def 					lowerCAmelCase     (  self							:			Optional[Any]	)      ->		Tuple:
						__A=	self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'	)

						__A=	tokenizer.encode('sequence builders'			,    add_special_tokens=lowerCAmelCase_	)
						__A=	tokenizer.encode('multi-sequence build'			,    add_special_tokens=lowerCAmelCase_	)

						__A=	tokenizer.encode(
						    'sequence builders'			,    add_special_tokens=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_	)
						__A=	tokenizer.encode(
						    'sequence builders'			,    'multi-sequence build'			,    add_special_tokens=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_	)

						__A=	tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_	)
						__A=	tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_			,    lowerCAmelCase_	)

						assert encoded_sentence == encoded_text_from_decode
						assert encoded_pair == encoded_pair_from_decode
			def 					lowerCAmelCase     (  self							:			Union[str, Any]	)      ->		Optional[int]:
						__A=	self.get_tokenizer()

						__A=	'Encode this sequence.'
						__A=	tokenizer.byte_encoder[' '.encode('utf-8'	)[0]]

						# Testing encoder arguments
						__A=	tokenizer.encode(lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_	)
						__A=	tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
						self.assertNotEqual(lowerCAmelCase_			,    lowerCAmelCase_	)

						__A=	tokenizer.encode(lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_	)
						__A=	tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
						self.assertEqual(lowerCAmelCase_			,    lowerCAmelCase_	)

						tokenizer.add_special_tokens({'bos_token': '<s>'}	)
						__A=	tokenizer.encode(lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_	)
						__A=	tokenizer.convert_ids_to_tokens(encoded[1]	)[0]
						self.assertNotEqual(lowerCAmelCase_			,    lowerCAmelCase_	)

						# Testing spaces after special tokens
						__A=	'<mask>'
						tokenizer.add_special_tokens(
						    {'mask_token': AddedToken(lowerCAmelCase_			,    lstrip=lowerCAmelCase_			,    rstrip=lowerCAmelCase_	)}	)  # mask token has a left space
						__A=	tokenizer.convert_tokens_to_ids(lowerCAmelCase_	)

						__A=	'Encode <mask> sequence'
						__A=	'Encode <mask>sequence'

						__A=	tokenizer.encode(lowerCAmelCase_	)
						__A=	encoded.index(lowerCAmelCase_	)
						__A=	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
						self.assertEqual(lowerCAmelCase_			,    lowerCAmelCase_	)

						__A=	tokenizer.encode(lowerCAmelCase_	)
						__A=	encoded.index(lowerCAmelCase_	)
						__A=	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
						self.assertNotEqual(lowerCAmelCase_			,    lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Dict	)      ->		str:
						pass
			def 					lowerCAmelCase     (  self							:			Dict	)      ->		int:
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
												__A=	self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_			,    **lowerCAmelCase_	)
												__A=	self.tokenizer_class.from_pretrained(lowerCAmelCase_			,    **lowerCAmelCase_	)
												__A=	'A, <mask> AllenNLP sentence.'
												__A=	tokenizer_r.encode_plus(lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_			,    return_token_type_ids=lowerCAmelCase_	)
												__A=	tokenizer_p.encode_plus(lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_			,    return_token_type_ids=lowerCAmelCase_	)

												# token_type_ids should put 0 everywhere
												self.assertEqual(sum(tokens_r['token_type_ids']	)			,    sum(tokens_p['token_type_ids']	)	)

												# attention_mask should put 1 everywhere, so sum over length should be 1
												self.assertEqual(
												    sum(tokens_r['attention_mask']	) / len(tokens_r['attention_mask']	)			,    sum(tokens_p['attention_mask']	) / len(tokens_p['attention_mask']	)			,    )

												__A=	tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']	)
												__A=	tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']	)

												# Rust correctly handles the space before the mask while python doesnt
												self.assertSequenceEqual(tokens_p['input_ids']			,    [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]	)
												self.assertSequenceEqual(tokens_r['input_ids']			,    [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]	)

												self.assertSequenceEqual(
												    lowerCAmelCase_			,    ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']	)
												self.assertSequenceEqual(
												    lowerCAmelCase_			,    ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']	)
			def 					lowerCAmelCase     (  self							:			List[Any]	)      ->		Tuple:
						for trim_offsets, add_prefix_space in itertools.product([True, False]			,    repeat=2	):
									__A=	self.rust_tokenizer_class.from_pretrained(
									    self.tmpdirname			,    use_fast=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_			,    trim_offsets=lowerCAmelCase_	)

									__A=	json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()	)
									__A=	json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()	)

									self.assertEqual(pre_tokenizer_state['add_prefix_space']			,    lowerCAmelCase_	)

									self.assertEqual(post_processor_state['add_prefix_space']			,    lowerCAmelCase_	)
									self.assertEqual(post_processor_state['trim_offsets']			,    lowerCAmelCase_	)

			def 					lowerCAmelCase     (  self							:			int	)      ->		Any:
						# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
						# `trim_offsets`
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
												__A=	'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
												__A=	F"""{text_of_1_token} {text_of_1_token}"""

												__A=	self.rust_tokenizer_class.from_pretrained(
												    lowerCAmelCase_			,    use_fast=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_			,    trim_offsets=lowerCAmelCase_	)
												__A=	tokenizer_r(lowerCAmelCase_			,    return_offsets_mapping=lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_	)
												self.assertEqual(encoding.offset_mapping[0]			,    (0, len(lowerCAmelCase_	))	)
												self.assertEqual(
												    encoding.offset_mapping[1]			,    (len(lowerCAmelCase_	) + 1, len(lowerCAmelCase_	) + 1 + len(lowerCAmelCase_	))			,    )

												__A=	self.rust_tokenizer_class.from_pretrained(
												    lowerCAmelCase_			,    use_fast=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_			,    trim_offsets=lowerCAmelCase_	)
												__A=	tokenizer_r(lowerCAmelCase_			,    return_offsets_mapping=lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_	)
												self.assertEqual(encoding.offset_mapping[0]			,    (0, len(lowerCAmelCase_	))	)
												self.assertEqual(
												    encoding.offset_mapping[1]			,    (len(lowerCAmelCase_	) + 1, len(lowerCAmelCase_	) + 1 + len(lowerCAmelCase_	))			,    )

												__A=	self.rust_tokenizer_class.from_pretrained(
												    lowerCAmelCase_			,    use_fast=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_			,    trim_offsets=lowerCAmelCase_	)
												__A=	tokenizer_r(lowerCAmelCase_			,    return_offsets_mapping=lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_	)
												self.assertEqual(encoding.offset_mapping[0]			,    (0, len(lowerCAmelCase_	))	)
												self.assertEqual(
												    encoding.offset_mapping[1]			,    (len(lowerCAmelCase_	), len(lowerCAmelCase_	) + 1 + len(lowerCAmelCase_	))			,    )

												__A=	self.rust_tokenizer_class.from_pretrained(
												    lowerCAmelCase_			,    use_fast=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_			,    trim_offsets=lowerCAmelCase_	)
												__A=	tokenizer_r(lowerCAmelCase_			,    return_offsets_mapping=lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_	)
												self.assertEqual(encoding.offset_mapping[0]			,    (0, len(lowerCAmelCase_	))	)
												self.assertEqual(
												    encoding.offset_mapping[1]			,    (len(lowerCAmelCase_	), len(lowerCAmelCase_	) + 1 + len(lowerCAmelCase_	))			,    )

												__A=	F""" {text}"""

												# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
												#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
												# )
												# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
												# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
												# self.assertEqual(
												#     encoding.offset_mapping[1],
												#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
												# )

												__A=	self.rust_tokenizer_class.from_pretrained(
												    lowerCAmelCase_			,    use_fast=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_			,    trim_offsets=lowerCAmelCase_	)
												__A=	tokenizer_r(lowerCAmelCase_			,    return_offsets_mapping=lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_	)
												self.assertEqual(encoding.offset_mapping[0]			,    (1, 1 + len(lowerCAmelCase_	))	)
												self.assertEqual(
												    encoding.offset_mapping[1]			,    (1 + len(lowerCAmelCase_	) + 1, 1 + len(lowerCAmelCase_	) + 1 + len(lowerCAmelCase_	))			,    )

												__A=	self.rust_tokenizer_class.from_pretrained(
												    lowerCAmelCase_			,    use_fast=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_			,    trim_offsets=lowerCAmelCase_	)
												__A=	tokenizer_r(lowerCAmelCase_			,    return_offsets_mapping=lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_	)
												self.assertEqual(encoding.offset_mapping[0]			,    (0, 1 + len(lowerCAmelCase_	))	)
												self.assertEqual(
												    encoding.offset_mapping[1]			,    (1 + len(lowerCAmelCase_	), 1 + len(lowerCAmelCase_	) + 1 + len(lowerCAmelCase_	))			,    )

												__A=	self.rust_tokenizer_class.from_pretrained(
												    lowerCAmelCase_			,    use_fast=lowerCAmelCase_			,    add_prefix_space=lowerCAmelCase_			,    trim_offsets=lowerCAmelCase_	)
												__A=	tokenizer_r(lowerCAmelCase_			,    return_offsets_mapping=lowerCAmelCase_			,    add_special_tokens=lowerCAmelCase_	)
												self.assertEqual(encoding.offset_mapping[0]			,    (0, 1 + len(lowerCAmelCase_	))	)
												self.assertEqual(
												    encoding.offset_mapping[1]			,    (1 + len(lowerCAmelCase_	), 1 + len(lowerCAmelCase_	) + 1 + len(lowerCAmelCase_	))			,    )







'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


UpperCAmelCase__  			=				{}

try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__  			=				['''BartphoTokenizer''']

if TYPE_CHECKING:
					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_bartpho import BartphoTokenizer

else:
					import sys

					UpperCAmelCase__  			=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



