"""simple docstring"""







import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class 						UpperCamelCase     (       lowercase ,      unittest.TestCase		):
				UpperCAmelCase							: Any       =						RealmTokenizer
				UpperCAmelCase							: List[Any]       =						RealmTokenizerFast
				UpperCAmelCase							: Tuple       =						True
				UpperCAmelCase							: Any       =						True
				UpperCAmelCase							: Tuple       =						filter_non_english



				def    _lowercase	(self							: Optional[int])       ->      Optional[int]:
					super().setUp()

					__snake_case     :				int 						=					[
					    '[UNK]',
					    '[CLS]',
					    '[SEP]',
					    '[PAD]',
					    '[MASK]',
					    'want',
					    '##want',
					    '##ed',
					    'wa',
					    'un',
					    'runn',
					    '##ing',
					    ',',
					    'low',
					    'lowest',
					]
					__snake_case     :				str 						=					os.path.join(self.tmpdirname      ,    VOCAB_FILES_NAMES['vocab_file'])
					with open(self.vocab_file      ,    'w'      ,    encoding='utf-8') as vocab_writer:
						vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]))



				def    _lowercase	(self							: Optional[Any]      ,    _A							: Any)       ->      Tuple:
					__snake_case     :				List[str] 						=					'UNwant\u00E9d,running'
					__snake_case     :				int 						=					'unwanted, running'
					return input_text, output_text



				def    _lowercase	(self							: int)       ->      List[Any]:
					__snake_case     :				int 						=					self.tokenizer_class(self.vocab_file)

					__snake_case     :				Optional[Any] 						=					tokenizer.tokenize('UNwant\u00E9d,running')
					self.assertListEqual(_A      ,    ['un', '##want', '##ed', ',', 'runn', '##ing'])
					self.assertListEqual(tokenizer.convert_tokens_to_ids(_A)      ,    [9, 6, 7, 12, 10, 11])



				def    _lowercase	(self							: str)       ->      Optional[int]:
					if not self.test_rust_tokenizer:
						return

					__snake_case     :				Any 						=					self.get_tokenizer()
					__snake_case     :				Tuple 						=					self.get_rust_tokenizer()

					__snake_case     :				Optional[int] 						=					'UNwant\u00E9d,running'

					__snake_case     :				Tuple 						=					tokenizer.tokenize(_A)
					__snake_case     :				Optional[int] 						=					rust_tokenizer.tokenize(_A)
					self.assertListEqual(_A      ,    _A)

					__snake_case     :				str 						=					tokenizer.encode(_A      ,    add_special_tokens=_A)
					__snake_case     :				Optional[Any] 						=					rust_tokenizer.encode(_A      ,    add_special_tokens=_A)
					self.assertListEqual(_A      ,    _A)

					__snake_case     :				str 						=					self.get_rust_tokenizer()
					__snake_case     :				Union[str, Any] 						=					tokenizer.encode(_A)
					__snake_case     :				str 						=					rust_tokenizer.encode(_A)
					self.assertListEqual(_A      ,    _A)

					# With lower casing
					__snake_case     :				Optional[Any] 						=					self.get_tokenizer(do_lower_case=_A)
					__snake_case     :				Union[str, Any] 						=					self.get_rust_tokenizer(do_lower_case=_A)

					__snake_case     :				List[Any] 						=					'UNwant\u00E9d,running'

					__snake_case     :				Tuple 						=					tokenizer.tokenize(_A)
					__snake_case     :				List[Any] 						=					rust_tokenizer.tokenize(_A)
					self.assertListEqual(_A      ,    _A)

					__snake_case     :				str 						=					tokenizer.encode(_A      ,    add_special_tokens=_A)
					__snake_case     :				Any 						=					rust_tokenizer.encode(_A      ,    add_special_tokens=_A)
					self.assertListEqual(_A      ,    _A)

					__snake_case     :				Dict 						=					self.get_rust_tokenizer()
					__snake_case     :				Tuple 						=					tokenizer.encode(_A)
					__snake_case     :				Tuple 						=					rust_tokenizer.encode(_A)
					self.assertListEqual(_A      ,    _A)



				def    _lowercase	(self							: Tuple)       ->      Dict:
					__snake_case     :				int 						=					BasicTokenizer()

					self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz')      ,    ['ah', '\u535A', '\u63A8', 'zz'])



				def    _lowercase	(self							: List[Any])       ->      List[str]:
					__snake_case     :				Dict 						=					BasicTokenizer(do_lower_case=_A)

					self.assertListEqual(
					    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  ')      ,    ['hello', '!', 'how', 'are', 'you', '?'])
					self.assertListEqual(tokenizer.tokenize('H\u00E9llo')      ,    ['hello'])



				def    _lowercase	(self							: List[str])       ->      Any:
					__snake_case     :				List[Any] 						=					BasicTokenizer(do_lower_case=_A      ,    strip_accents=_A)

					self.assertListEqual(
					    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')      ,    ['hällo', '!', 'how', 'are', 'you', '?'])
					self.assertListEqual(tokenizer.tokenize('H\u00E9llo')      ,    ['h\u00E9llo'])



				def    _lowercase	(self							: Optional[int])       ->      Dict:
					__snake_case     :				Dict 						=					BasicTokenizer(do_lower_case=_A      ,    strip_accents=_A)

					self.assertListEqual(
					    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')      ,    ['hallo', '!', 'how', 'are', 'you', '?'])
					self.assertListEqual(tokenizer.tokenize('H\u00E9llo')      ,    ['hello'])



				def    _lowercase	(self							: int)       ->      Any:
					__snake_case     :				List[str] 						=					BasicTokenizer(do_lower_case=_A)

					self.assertListEqual(
					    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')      ,    ['hallo', '!', 'how', 'are', 'you', '?'])
					self.assertListEqual(tokenizer.tokenize('H\u00E9llo')      ,    ['hello'])



				def    _lowercase	(self							: Any)       ->      Optional[int]:
					__snake_case     :				int 						=					BasicTokenizer(do_lower_case=_A)

					self.assertListEqual(
					    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  ')      ,    ['HeLLo', '!', 'how', 'Are', 'yoU', '?'])



				def    _lowercase	(self							: Optional[Any])       ->      List[Any]:
					__snake_case     :				Optional[int] 						=					BasicTokenizer(do_lower_case=_A      ,    strip_accents=_A)

					self.assertListEqual(
					    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')      ,    ['HäLLo', '!', 'how', 'Are', 'yoU', '?'])



				def    _lowercase	(self							: int)       ->      List[Any]:
					__snake_case     :				str 						=					BasicTokenizer(do_lower_case=_A      ,    strip_accents=_A)

					self.assertListEqual(
					    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')      ,    ['HaLLo', '!', 'how', 'Are', 'yoU', '?'])



				def    _lowercase	(self							: str)       ->      Optional[int]:
					__snake_case     :				List[Any] 						=					BasicTokenizer(do_lower_case=_A      ,    never_split=['[UNK]'])

					self.assertListEqual(
					    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]')      ,    ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]'])



				def    _lowercase	(self							: Dict)       ->      Dict:
					__snake_case     :				str 						=					['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

					__snake_case     :				Tuple 						=					{}
					for i, token in enumerate(_A):
						__snake_case     :				Tuple 						=					i
					__snake_case     :				int 						=					WordpieceTokenizer(vocab=_A      ,    unk_token='[UNK]')

					self.assertListEqual(tokenizer.tokenize('')      ,    [])

					self.assertListEqual(tokenizer.tokenize('unwanted running')      ,    ['un', '##want', '##ed', 'runn', '##ing'])

					self.assertListEqual(tokenizer.tokenize('unwantedX running')      ,    ['[UNK]', 'runn', '##ing'])



				def    _lowercase	(self							: Any)       ->      str:
					self.assertTrue(_is_whitespace(' '))
					self.assertTrue(_is_whitespace('\t'))
					self.assertTrue(_is_whitespace('\r'))
					self.assertTrue(_is_whitespace('\n'))
					self.assertTrue(_is_whitespace('\u00A0'))

					self.assertFalse(_is_whitespace('A'))
					self.assertFalse(_is_whitespace('-'))



				def    _lowercase	(self							: Tuple)       ->      str:
					self.assertTrue(_is_control('\u0005'))

					self.assertFalse(_is_control('A'))
					self.assertFalse(_is_control(' '))
					self.assertFalse(_is_control('\t'))
					self.assertFalse(_is_control('\r'))



				def    _lowercase	(self							: Any)       ->      str:
					self.assertTrue(_is_punctuation('-'))
					self.assertTrue(_is_punctuation('$'))
					self.assertTrue(_is_punctuation('`'))
					self.assertTrue(_is_punctuation('.'))

					self.assertFalse(_is_punctuation('A'))
					self.assertFalse(_is_punctuation(' '))



				def    _lowercase	(self							: List[str])       ->      int:
					__snake_case     :				Union[str, Any] 						=					self.get_tokenizer()

					# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
					self.assertListEqual([tokenizer.tokenize(_A) for t in ['Test', '\xad', 'test']]      ,    [['[UNK]'], [], ['[UNK]']])

					if self.test_rust_tokenizer:
						__snake_case     :				Tuple 						=					self.get_rust_tokenizer()
						self.assertListEqual(
						    [rust_tokenizer.tokenize(_A) for t in ['Test', '\xad', 'test']]      ,    [['[UNK]'], [], ['[UNK]']])



				@slow
				def    _lowercase	(self							: int)       ->      str:
					__snake_case     :				List[str] 						=					self.tokenizer_class.from_pretrained('bert-base-uncased')

					__snake_case     :				Tuple 						=					tokenizer.encode('sequence builders'      ,    add_special_tokens=_A)
					__snake_case     :				Optional[int] 						=					tokenizer.encode('multi-sequence build'      ,    add_special_tokens=_A)

					__snake_case     :				Dict 						=					tokenizer.build_inputs_with_special_tokens(_A)
					__snake_case     :				Dict 						=					tokenizer.build_inputs_with_special_tokens(_A      ,    _A)

					assert encoded_sentence == [1_01] + text + [1_02]
					assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]



				def    _lowercase	(self							: Any)       ->      str:
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
						with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
							__snake_case     :				Any 						=					self.rust_tokenizer_class.from_pretrained(_A      ,    **_A)

							__snake_case     :				int 						=					f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
							__snake_case     :				Any 						=					tokenizer_r.encode_plus(
							    _A      ,    return_attention_mask=_A      ,    return_token_type_ids=_A      ,    return_offsets_mapping=_A      ,    add_special_tokens=_A      ,    )

							__snake_case     :				str 						=					tokenizer_r.do_lower_case if hasattr(_A      ,    'do_lower_case') else False
							__snake_case     :				int 						=					(
							    [
							        ((0, 0), tokenizer_r.cls_token),
							        ((0, 1), 'A'),
							        ((1, 2), ','),
							        ((3, 5), 'na'),
							        ((5, 6), '##ï'),
							        ((6, 8), '##ve'),
							        ((9, 15), tokenizer_r.mask_token),
							        ((16, 21), 'Allen'),
							        ((21, 23), '##NL'),
							        ((23, 24), '##P'),
							        ((25, 33), 'sentence'),
							        ((33, 34), '.'),
							        ((0, 0), tokenizer_r.sep_token),
							    ]
							    if not do_lower_case
							    else [
							        ((0, 0), tokenizer_r.cls_token),
							        ((0, 1), 'a'),
							        ((1, 2), ','),
							        ((3, 8), 'naive'),
							        ((9, 15), tokenizer_r.mask_token),
							        ((16, 21), 'allen'),
							        ((21, 23), '##nl'),
							        ((23, 24), '##p'),
							        ((25, 33), 'sentence'),
							        ((33, 34), '.'),
							        ((0, 0), tokenizer_r.sep_token),
							    ]
							)

							self.assertEqual(
							    [e[1] for e in expected_results]      ,    tokenizer_r.convert_ids_to_tokens(tokens['input_ids']))
							self.assertEqual([e[0] for e in expected_results]      ,    tokens['offset_mapping'])






				@slow
				def    _lowercase	(self							: Optional[int])       ->      Optional[Any]:
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
						with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
							__snake_case     :				int 						=					self.rust_tokenizer_class.from_pretrained(_A      ,    **_A)
							__snake_case     :				str 						=					self.tokenizer_class.from_pretrained(_A      ,    **_A)
							__snake_case     :				List[str] 						=					[['Hello world!', 'Nice to meet you!'], ['The cute cat.', 'The adorable dog.']]

							__snake_case     :				str 						=					tokenizer_r.batch_encode_candidates(_A      ,    max_length=10      ,    return_tensors='np')
							__snake_case     :				Any 						=					tokenizer_p.batch_encode_candidates(_A      ,    max_length=10      ,    return_tensors='np')

							__snake_case     :				Union[str, Any] 						=					(2, 2, 10)

							self.assertEqual(encoded_sentence_r['input_ids'].shape      ,    _A)
							self.assertEqual(encoded_sentence_r['attention_mask'].shape      ,    _A)
							self.assertEqual(encoded_sentence_r['token_type_ids'].shape      ,    _A)

							self.assertEqual(encoded_sentence_p['input_ids'].shape      ,    _A)
							self.assertEqual(encoded_sentence_p['attention_mask'].shape      ,    _A)
							self.assertEqual(encoded_sentence_p['token_type_ids'].shape      ,    _A)






"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_a	:	Optional[Any]=					{"configuration_gptj": ["GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTJConfig", "GPTJOnnxConfig"]}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_a	:	Dict=					[
	    "GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "GPTJForCausalLM",
	    "GPTJForQuestionAnswering",
	    "GPTJForSequenceClassification",
	    "GPTJModel",
	    "GPTJPreTrainedModel",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_a	:	Optional[Any]=					[
	    "TFGPTJForCausalLM",
	    "TFGPTJForQuestionAnswering",
	    "TFGPTJForSequenceClassification",
	    "TFGPTJModel",
	    "TFGPTJPreTrainedModel",
	]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_a	:	List[str]=					[
	    "FlaxGPTJForCausalLM",
	    "FlaxGPTJModel",
	    "FlaxGPTJPreTrainedModel",
	]


if TYPE_CHECKING:
	from .configuration_gptj import GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTJConfig, GPTJOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gptj import (
		    GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTJForCausalLM,
		    GPTJForQuestionAnswering,
		    GPTJForSequenceClassification,
		    GPTJModel,
		    GPTJPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_gptj import (
		    TFGPTJForCausalLM,
		    TFGPTJForQuestionAnswering,
		    TFGPTJForSequenceClassification,
		    TFGPTJModel,
		    TFGPTJPreTrainedModel,
		)

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_gptj import FlaxGPTJForCausalLM, FlaxGPTJModel, FlaxGPTJPreTrainedModel

else:
	import sys

	_a	:	Any=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





