



"""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 							lowerCamelCase_(   A__,				unittest.TestCase    ):





					'''simple docstring'''



					lowercase__   :       Optional[Any]										= LongformerTokenizer
					lowercase__   :       str										= True
					lowercase__   :       List[str]										= LongformerTokenizerFast
					lowercase__   :       Optional[Any]										= True

					def 			snake_case__      (    self   ):
									super().setUp()

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

									_lowerCamelCase        =				os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES['''vocab_file''']   )
									_lowerCamelCase        =				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 			snake_case__      (    self				,       **lowerCamelCase__   ):
									kwargs.update(self.special_tokens_map   )
									return self.tokenizer_class.from_pretrained(self.tmpdirname				,       **lowerCamelCase__   )

					def 			snake_case__      (    self				,       **lowerCamelCase__   ):
									kwargs.update(self.special_tokens_map   )
									return self.rust_tokenizer_class.from_pretrained(self.tmpdirname				,       **lowerCamelCase__   )

					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				'''lower newer'''
									_lowerCamelCase        =				'''lower newer'''
									return input_text, output_text

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer_class(self.vocab_file				,       self.merges_file				,       **self.special_tokens_map   )
									_lowerCamelCase        =				'''lower newer'''
									_lowerCamelCase        =				['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
									_lowerCamelCase        =				tokenizer.tokenize(lowerCamelCase__   )  # , add_prefix_space=True)
									self.assertListEqual(lowerCamelCase__				,       lowerCamelCase__   )

									_lowerCamelCase        =				tokens + [tokenizer.unk_token]
									_lowerCamelCase        =				[0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__   )				,       lowerCamelCase__   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.get_tokenizer()

									self.assertListEqual(tokenizer.encode('''Hello world!'''				,       add_special_tokens=lowerCamelCase__   )				,       [0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]   )
									self.assertListEqual(
									    tokenizer.encode('''Hello world! cécé herlolip 418'''				,       add_special_tokens=lowerCamelCase__   )				,       [0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]				,       )

					@slow
					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''   )

									_lowerCamelCase        =				tokenizer.encode('''sequence builders'''				,       add_special_tokens=lowerCamelCase__   )
									_lowerCamelCase        =				tokenizer.encode('''multi-sequence build'''				,       add_special_tokens=lowerCamelCase__   )

									_lowerCamelCase        =				tokenizer.encode(
									    '''sequence builders'''				,       add_special_tokens=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__   )
									_lowerCamelCase        =				tokenizer.encode(
									    '''sequence builders'''				,       '''multi-sequence build'''				,       add_special_tokens=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__   )

									_lowerCamelCase        =				tokenizer.build_inputs_with_special_tokens(lowerCamelCase__   )
									_lowerCamelCase        =				tokenizer.build_inputs_with_special_tokens(lowerCamelCase__				,       lowerCamelCase__   )

									assert encoded_sentence == encoded_text_from_decode
									assert encoded_pair == encoded_pair_from_decode

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.get_tokenizer()

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

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

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

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

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

									_lowerCamelCase        =				'''Encode <mask> sequence'''
									_lowerCamelCase        =				'''Encode <mask>sequence'''

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

									_lowerCamelCase        =				tokenizer.encode(lowerCamelCase__   )
									_lowerCamelCase        =				encoded.index(lowerCamelCase__   )
									_lowerCamelCase        =				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
									self.assertNotEqual(lowerCamelCase__				,       lowerCamelCase__   )

					def 			snake_case__      (    self   ):
									pass

					def 			snake_case__      (    self   ):
									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(lowerCamelCase__				,       **lowerCamelCase__   )
																	_lowerCamelCase        =				self.tokenizer_class.from_pretrained(lowerCamelCase__				,       **lowerCamelCase__   )
																	_lowerCamelCase        =				'''A, <mask> AllenNLP sentence.'''
																	_lowerCamelCase        =				tokenizer_r.encode_plus(lowerCamelCase__				,       add_special_tokens=lowerCamelCase__				,       return_token_type_ids=lowerCamelCase__   )
																	_lowerCamelCase        =				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''']   )				,       )

																	_lowerCamelCase        =				tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']   )
																	_lowerCamelCase        =				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, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]   )
																	self.assertSequenceEqual(tokens_r['''input_ids''']				,       [0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 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 			snake_case__      (    self   ):
									for trim_offsets, add_prefix_space in itertools.product([True, False]				,       repeat=2   ):
													_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(
													    self.tmpdirname				,       use_fast=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__				,       trim_offsets=lowerCamelCase__   )

													_lowerCamelCase        =				json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
													_lowerCamelCase        =				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 			snake_case__      (    self   ):
									# 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})"""   ):
																	_lowerCamelCase        =				'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
																	_lowerCamelCase        =				F"""{text_of_1_token} {text_of_1_token}"""

																	_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(
																	    lowerCamelCase__				,       use_fast=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__				,       trim_offsets=lowerCamelCase__   )
																	_lowerCamelCase        =				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__   ))				,       )

																	_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(
																	    lowerCamelCase__				,       use_fast=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__				,       trim_offsets=lowerCamelCase__   )
																	_lowerCamelCase        =				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__   ))				,       )

																	_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(
																	    lowerCamelCase__				,       use_fast=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__				,       trim_offsets=lowerCamelCase__   )
																	_lowerCamelCase        =				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__   ))				,       )

																	_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(
																	    lowerCamelCase__				,       use_fast=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__				,       trim_offsets=lowerCamelCase__   )
																	_lowerCamelCase        =				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__   ))				,       )

																	_lowerCamelCase        =				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)),
																	# )

																	_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(
																	    lowerCamelCase__				,       use_fast=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__				,       trim_offsets=lowerCamelCase__   )
																	_lowerCamelCase        =				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__   ))				,       )

																	_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(
																	    lowerCamelCase__				,       use_fast=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__				,       trim_offsets=lowerCamelCase__   )
																	_lowerCamelCase        =				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__   ))				,       )

																	_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(
																	    lowerCamelCase__				,       use_fast=lowerCamelCase__				,       add_prefix_space=lowerCamelCase__				,       trim_offsets=lowerCamelCase__   )
																	_lowerCamelCase        =				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_flax_available,
    is_tf_available,
    is_torch_available,
)


__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						str    							=      ['''VisionEncoderDecoderModel''']

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						Dict    							=      ['''TFVisionEncoderDecoderModel''']

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						List[Any]    							=      ['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
			from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
			import sys

			__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
