


'''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      lowercase			(							__UpperCAmelCase			,	unittest.TestCase      ):

		"""simple docstring"""

		_a									=       LongformerTokenizer
		_a									=       True
		_a									=       LongformerTokenizerFast
		_a									=       True




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							super().setUp()

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

							UpperCamelCase__     :List[str]							      =				os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES['''vocab_file''']							)
							UpperCamelCase__     :int							      =				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(UpperCamelCase_							) + '''\n'''							)
							with open(self.merges_file					,     '''w'''					,     encoding='''utf-8'''							) as fp:
												fp.write('''\n'''.join(UpperCamelCase_							)							)




		def 					lowerCAmelCase__       (	self					,     **UpperCamelCase_							):

							'''simple docstring'''


							kwargs.update(self.special_tokens_map							)
							return self.tokenizer_class.from_pretrained(self.tmpdirname					,     **UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     **UpperCamelCase_							):

							'''simple docstring'''


							kwargs.update(self.special_tokens_map							)
							return self.rust_tokenizer_class.from_pretrained(self.tmpdirname					,     **UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :int							      =				'''lower newer'''
							UpperCamelCase__     :List[Any]							      =				'''lower newer'''
							return input_text, output_text




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :str							      =				self.tokenizer_class(self.vocab_file					,     self.merges_file					,     **self.special_tokens_map							)
							UpperCamelCase__     :Optional[int]							      =				'''lower newer'''
							UpperCamelCase__     :Union[str, Any]							      =				['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
							UpperCamelCase__     :Tuple							      =				tokenizer.tokenize(UpperCamelCase_							)  # , add_prefix_space=True)
							self.assertListEqual(UpperCamelCase_					,     UpperCamelCase_							)

							UpperCamelCase__     :Optional[int]							      =				tokens + [tokenizer.unk_token]
							UpperCamelCase__     :Optional[Any]							      =				[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_							)					,     UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Union[str, Any]							      =				self.get_tokenizer()

							self.assertListEqual(tokenizer.encode('''Hello world!'''					,     add_special_tokens=UpperCamelCase_							)					,     [0, 31414, 232, 328, 2]							)
							self.assertListEqual(
							    tokenizer.encode('''Hello world! cécé herlolip 418'''					,     add_special_tokens=UpperCamelCase_							)					,     [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]					,     )




		@slow
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Optional[Any]							      =				self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''							)

							UpperCamelCase__     :Any							      =				tokenizer.encode('''sequence builders'''					,     add_special_tokens=UpperCamelCase_							)
							UpperCamelCase__     :List[str]							      =				tokenizer.encode('''multi-sequence build'''					,     add_special_tokens=UpperCamelCase_							)

							UpperCamelCase__     :Any							      =				tokenizer.encode(
							    '''sequence builders'''					,     add_special_tokens=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_							)
							UpperCamelCase__     :str							      =				tokenizer.encode(
							    '''sequence builders'''					,     '''multi-sequence build'''					,     add_special_tokens=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_							)

							UpperCamelCase__     :Union[str, Any]							      =				tokenizer.build_inputs_with_special_tokens(UpperCamelCase_							)
							UpperCamelCase__     :Union[str, Any]							      =				tokenizer.build_inputs_with_special_tokens(UpperCamelCase_					,     UpperCamelCase_							)

							assert encoded_sentence == encoded_text_from_decode
							assert encoded_pair == encoded_pair_from_decode




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				self.get_tokenizer()

							UpperCamelCase__     :str							      =				'''Encode this sequence.'''
							UpperCamelCase__     :int							      =				tokenizer.byte_encoder[''' '''.encode('''utf-8'''							)[0]]

							# Testing encoder arguments
							UpperCamelCase__     :str							      =				tokenizer.encode(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_							)
							UpperCamelCase__     :str							      =				tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
							self.assertNotEqual(UpperCamelCase_					,     UpperCamelCase_							)

							UpperCamelCase__     :List[str]							      =				tokenizer.encode(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_							)
							UpperCamelCase__     :Union[str, Any]							      =				tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
							self.assertEqual(UpperCamelCase_					,     UpperCamelCase_							)

							tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}							)
							UpperCamelCase__     :List[str]							      =				tokenizer.encode(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
							UpperCamelCase__     :Optional[int]							      =				tokenizer.convert_ids_to_tokens(encoded[1]							)[0]
							self.assertNotEqual(UpperCamelCase_					,     UpperCamelCase_							)

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

							UpperCamelCase__     :List[Any]							      =				'''Encode <mask> sequence'''
							UpperCamelCase__     :Dict							      =				'''Encode <mask>sequence'''

							UpperCamelCase__     :Dict							      =				tokenizer.encode(UpperCamelCase_							)
							UpperCamelCase__     :Optional[Any]							      =				encoded.index(UpperCamelCase_							)
							UpperCamelCase__     :Optional[int]							      =				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
							self.assertEqual(UpperCamelCase_					,     UpperCamelCase_							)

							UpperCamelCase__     :Dict							      =				tokenizer.encode(UpperCamelCase_							)
							UpperCamelCase__     :List[str]							      =				encoded.index(UpperCamelCase_							)
							UpperCamelCase__     :Optional[Any]							      =				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
							self.assertNotEqual(UpperCamelCase_					,     UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							pass




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																	UpperCamelCase__     :Optional[int]							      =				self.rust_tokenizer_class.from_pretrained(UpperCamelCase_					,     **UpperCamelCase_							)
																	UpperCamelCase__     :Union[str, Any]							      =				self.tokenizer_class.from_pretrained(UpperCamelCase_					,     **UpperCamelCase_							)
																	UpperCamelCase__     :Dict							      =				'''A, <mask> AllenNLP sentence.'''
																	UpperCamelCase__     :Union[str, Any]							      =				tokenizer_r.encode_plus(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_					,     return_token_type_ids=UpperCamelCase_							)
																	UpperCamelCase__     :List[str]							      =				tokenizer_p.encode_plus(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_					,     return_token_type_ids=UpperCamelCase_							)

																	# 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''']							)					,     )

																	UpperCamelCase__     :Union[str, Any]							      =				tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']							)
																	UpperCamelCase__     :List[Any]							      =				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, 50264, 3823, 487, 21992, 3645, 4, 2]							)
																	self.assertSequenceEqual(tokens_r['''input_ids''']					,     [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]							)

																	self.assertSequenceEqual(
																	    UpperCamelCase_					,     ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']							)
																	self.assertSequenceEqual(
																	    UpperCamelCase_					,     ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							for trim_offsets, add_prefix_space in itertools.product([True, False]					,     repeat=2							):
												UpperCamelCase__     :int							      =				self.rust_tokenizer_class.from_pretrained(
												    self.tmpdirname					,     use_fast=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_					,     trim_offsets=UpperCamelCase_							)

												UpperCamelCase__     :str							      =				json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()							)
												UpperCamelCase__     :int							      =				json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()							)

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

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																	UpperCamelCase__     :Union[str, Any]							      =				'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
																	UpperCamelCase__     :Optional[Any]							      =				F'''{text_of_1_token} {text_of_1_token}'''

																	UpperCamelCase__     :Dict							      =				self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_					,     use_fast=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_					,     trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__     :Optional[int]							      =				tokenizer_r(UpperCamelCase_					,     return_offsets_mapping=UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]					,     (0, len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]					,     (len(UpperCamelCase_							) + 1, len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))					,     )

																	UpperCamelCase__     :Tuple							      =				self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_					,     use_fast=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_					,     trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__     :Any							      =				tokenizer_r(UpperCamelCase_					,     return_offsets_mapping=UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]					,     (0, len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]					,     (len(UpperCamelCase_							) + 1, len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))					,     )

																	UpperCamelCase__     :List[Any]							      =				self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_					,     use_fast=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_					,     trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__     :List[str]							      =				tokenizer_r(UpperCamelCase_					,     return_offsets_mapping=UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]					,     (0, len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]					,     (len(UpperCamelCase_							), len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))					,     )

																	UpperCamelCase__     :Union[str, Any]							      =				self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_					,     use_fast=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_					,     trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__     :Tuple							      =				tokenizer_r(UpperCamelCase_					,     return_offsets_mapping=UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]					,     (0, len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]					,     (len(UpperCamelCase_							), len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))					,     )

																	UpperCamelCase__     :List[str]							      =				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)),
																	# )

																	UpperCamelCase__     :Optional[Any]							      =				self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_					,     use_fast=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_					,     trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__     :Tuple							      =				tokenizer_r(UpperCamelCase_					,     return_offsets_mapping=UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]					,     (1, 1 + len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]					,     (1 + len(UpperCamelCase_							) + 1, 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))					,     )

																	UpperCamelCase__     :Tuple							      =				self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_					,     use_fast=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_					,     trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__     :int							      =				tokenizer_r(UpperCamelCase_					,     return_offsets_mapping=UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]					,     (0, 1 + len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]					,     (1 + len(UpperCamelCase_							), 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))					,     )

																	UpperCamelCase__     :List[str]							      =				self.rust_tokenizer_class.from_pretrained(
																	    UpperCamelCase_					,     use_fast=UpperCamelCase_					,     add_prefix_space=UpperCamelCase_					,     trim_offsets=UpperCamelCase_							)
																	UpperCamelCase__     :List[str]							      =				tokenizer_r(UpperCamelCase_					,     return_offsets_mapping=UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	self.assertEqual(encoding.offset_mapping[0]					,     (0, 1 + len(UpperCamelCase_							))							)
																	self.assertEqual(
																	    encoding.offset_mapping[1]					,     (1 + len(UpperCamelCase_							), 1 + len(UpperCamelCase_							) + 1 + len(UpperCamelCase_							))					,     )



'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__snake_case							   =  {
    '''configuration_layoutlmv3''': [
        '''LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''LayoutLMv3Config''',
        '''LayoutLMv3OnnxConfig''',
    ],
    '''processing_layoutlmv3''': ['''LayoutLMv3Processor'''],
    '''tokenization_layoutlmv3''': ['''LayoutLMv3Tokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case							   =  ['''LayoutLMv3TokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case							   =  [
		    '''LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''LayoutLMv3ForQuestionAnswering''',
		    '''LayoutLMv3ForSequenceClassification''',
		    '''LayoutLMv3ForTokenClassification''',
		    '''LayoutLMv3Model''',
		    '''LayoutLMv3PreTrainedModel''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case							   =  [
		    '''TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''TFLayoutLMv3ForQuestionAnswering''',
		    '''TFLayoutLMv3ForSequenceClassification''',
		    '''TFLayoutLMv3ForTokenClassification''',
		    '''TFLayoutLMv3Model''',
		    '''TFLayoutLMv3PreTrainedModel''',
		]

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case							   =  ['''LayoutLMv3FeatureExtractor''']
		__snake_case							   =  ['''LayoutLMv3ImageProcessor''']


if TYPE_CHECKING:
		from .configuration_layoutlmva import (
		    LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    LayoutLMvaConfig,
		    LayoutLMvaOnnxConfig,
		)
		from .processing_layoutlmva import LayoutLMvaProcessor
		from .tokenization_layoutlmva import LayoutLMvaTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_layoutlmva import (
				    LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
				    LayoutLMvaForQuestionAnswering,
				    LayoutLMvaForSequenceClassification,
				    LayoutLMvaForTokenClassification,
				    LayoutLMvaModel,
				    LayoutLMvaPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_layoutlmva import (
				    TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFLayoutLMvaForQuestionAnswering,
				    TFLayoutLMvaForSequenceClassification,
				    TFLayoutLMvaForTokenClassification,
				    TFLayoutLMvaModel,
				    TFLayoutLMvaPreTrainedModel,
				)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor
				from .image_processing_layoutlmva import LayoutLMvaImageProcessor

else:
		import sys

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