





import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english



@require_tokenizers
class  __lowerCAmelCase	(      _a,					unittest.TestCase					):
			lowerCamelCase_					:					Optional[int]	      =				RoCBertTokenizer
			lowerCamelCase_					:					Union[str, Any]	      =				None
			lowerCamelCase_					:					Any	      =				False
			lowerCamelCase_					:					Dict	      =				True
			lowerCamelCase_					:					int	      =				filter_non_english






			def       lowerCamelCase  (self   )					->       List[Any]:


							'''simple docstring'''



							super().setUp()

							snake_case_						:   Any           =  ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
							snake_case_						:   Union[str, Any]           =  {}
							snake_case_						:   str           =  {}
							for i, value in enumerate(__magic_name__   ):
											snake_case_						:   Union[str, Any]           =  i
											snake_case_						:   Optional[int]           =  i
							snake_case_						:   str           =  os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['''vocab_file''']   )
							snake_case_						:   Optional[Any]           =  os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['''word_shape_file''']   )
							snake_case_						:   Dict           =  os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['''word_pronunciation_file''']   )
							with open(self.vocab_file ,							'''w''' ,							encoding='''utf-8'''   ) as vocab_writer:
											vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]   )   )
							with open(self.word_shape_file ,							'''w''' ,							encoding='''utf-8'''   ) as word_shape_writer:
											json.dump(__magic_name__ ,							__magic_name__ ,							ensure_ascii=__magic_name__   )
							with open(self.word_pronunciation_file ,							'''w''' ,							encoding='''utf-8'''   ) as word_pronunciation_writer:
											json.dump(__magic_name__ ,							__magic_name__ ,							ensure_ascii=__magic_name__   )






			def       lowerCamelCase  (self   )					->       List[Any]:


							'''simple docstring'''



							snake_case_						:   Dict           =  self.tokenizer_class(self.vocab_file ,							self.word_shape_file ,							self.word_pronunciation_file   )

							snake_case_						:   int           =  tokenizer.tokenize('''你好[SEP]你是谁'''   )
							self.assertListEqual(__magic_name__ ,							['''你''', '''好''', '''[SEP]''', '''你''', '''是''', '''谁''']   )
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__   ) ,							[5, 6, 2, 5, 7, 8]   )
							self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(__magic_name__   ) ,							[5, 6, 2, 5, 7, 8]   )
							self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(__magic_name__   ) ,							[5, 6, 2, 5, 7, 8]   )






			def       lowerCamelCase  (self   )					->       Union[str, Any]:


							'''simple docstring'''



							snake_case_						:   Union[str, Any]           =  RoCBertBasicTokenizer()

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






			def       lowerCamelCase  (self   )					->       Dict:


							'''simple docstring'''



							snake_case_						:   Dict           =  RoCBertBasicTokenizer(do_lower_case=__magic_name__   )

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






			def       lowerCamelCase  (self   )					->       str:


							'''simple docstring'''



							snake_case_						:   Tuple           =  RoCBertBasicTokenizer(do_lower_case=__magic_name__ ,							strip_accents=__magic_name__   )

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






			def       lowerCamelCase  (self   )					->       Any:


							'''simple docstring'''



							snake_case_						:   List[str]           =  RoCBertBasicTokenizer(do_lower_case=__magic_name__ ,							strip_accents=__magic_name__   )

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






			def       lowerCamelCase  (self   )					->       List[Any]:


							'''simple docstring'''



							snake_case_						:   int           =  RoCBertBasicTokenizer(do_lower_case=__magic_name__   )

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






			def       lowerCamelCase  (self   )					->       int:


							'''simple docstring'''



							snake_case_						:   Union[str, Any]           =  RoCBertBasicTokenizer(do_lower_case=__magic_name__   )

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






			def       lowerCamelCase  (self   )					->       Union[str, Any]:


							'''simple docstring'''



							snake_case_						:   List[str]           =  RoCBertBasicTokenizer(do_lower_case=__magic_name__ ,							strip_accents=__magic_name__   )

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






			def       lowerCamelCase  (self   )					->       Optional[int]:


							'''simple docstring'''



							snake_case_						:   str           =  RoCBertBasicTokenizer(do_lower_case=__magic_name__ ,							strip_accents=__magic_name__   )

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






			def       lowerCamelCase  (self   )					->       Any:


							'''simple docstring'''



							snake_case_						:   Optional[int]           =  RoCBertBasicTokenizer(do_lower_case=__magic_name__ ,							never_split=['''[UNK]''']   )

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






			def       lowerCamelCase  (self   )					->       Tuple:


							'''simple docstring'''



							snake_case_						:   Dict           =  ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

							snake_case_						:   List[Any]           =  {}
							for i, token in enumerate(__magic_name__   ):
											snake_case_						:   Optional[Any]           =  i
							snake_case_						:   List[Any]           =  RoCBertWordpieceTokenizer(vocab=__magic_name__ ,							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       lowerCamelCase  (self   )					->       List[str]:


							'''simple docstring'''



							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       lowerCamelCase  (self   )					->       Dict:


							'''simple docstring'''



							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       lowerCamelCase  (self   )					->       List[str]:


							'''simple docstring'''



							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       lowerCamelCase  (self   )					->       int:


							'''simple docstring'''



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

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

							if self.test_rust_tokenizer:
											snake_case_						:   List[str]           =  self.get_rust_tokenizer()
											self.assertListEqual(
											    [rust_tokenizer.tokenize(__magic_name__   ) for t in ['''Test''', '''\xad''', '''test''']] ,							[['''[UNK]'''], [], ['''[UNK]''']]   )






			def       lowerCamelCase  (self   )					->       str:


							'''simple docstring'''



							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
															snake_case_						:   Dict           =  self.rust_tokenizer_class.from_pretrained(__magic_name__ ,							**__magic_name__   )

															snake_case_						:   List[str]           =  F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
															snake_case_						:   List[Any]           =  tokenizer_r.encode_plus(
															    __magic_name__ ,							return_attention_mask=__magic_name__ ,							return_token_type_ids=__magic_name__ ,							return_offsets_mapping=__magic_name__ ,							add_special_tokens=__magic_name__ ,							)

															snake_case_						:   List[str]           =  tokenizer_r.do_lower_case if hasattr(__magic_name__ ,							'''do_lower_case'''   ) else False
															snake_case_						:   Optional[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''']   )






			def       lowerCamelCase  (self   )					->       List[str]:


							'''simple docstring'''



							snake_case_						:   int           =  ['''的''', '''人''', '''有''']
							snake_case_						:   List[str]           =  ''''''.join(__magic_name__   )
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
															snake_case_						:   Union[str, Any]           =  True
															snake_case_						:   Union[str, Any]           =  self.tokenizer_class.from_pretrained(__magic_name__ ,							**__magic_name__   )
															snake_case_						:   Optional[Any]           =  self.rust_tokenizer_class.from_pretrained(__magic_name__ ,							**__magic_name__   )

															snake_case_						:   Any           =  tokenizer_p.encode(__magic_name__ ,							add_special_tokens=__magic_name__   )
															snake_case_						:   Optional[Any]           =  tokenizer_r.encode(__magic_name__ ,							add_special_tokens=__magic_name__   )

															snake_case_						:   List[Any]           =  tokenizer_r.convert_ids_to_tokens(__magic_name__   )
															snake_case_						:   str           =  tokenizer_p.convert_ids_to_tokens(__magic_name__   )

															# it is expected that each Chinese character is not preceded by "##"
															self.assertListEqual(__magic_name__ ,							__magic_name__   )
															self.assertListEqual(__magic_name__ ,							__magic_name__   )

															snake_case_						:   Dict           =  False
															snake_case_						:   Optional[int]           =  self.rust_tokenizer_class.from_pretrained(__magic_name__ ,							**__magic_name__   )
															snake_case_						:   List[str]           =  self.tokenizer_class.from_pretrained(__magic_name__ ,							**__magic_name__   )

															snake_case_						:   List[Any]           =  tokenizer_r.encode(__magic_name__ ,							add_special_tokens=__magic_name__   )
															snake_case_						:   List[str]           =  tokenizer_p.encode(__magic_name__ ,							add_special_tokens=__magic_name__   )

															snake_case_						:   int           =  tokenizer_r.convert_ids_to_tokens(__magic_name__   )
															snake_case_						:   List[Any]           =  tokenizer_p.convert_ids_to_tokens(__magic_name__   )

															# it is expected that only the first Chinese character is not preceded by "##".
															snake_case_						:   List[str]           =  [
															    F'''##{token}''' if idx != 0 else token for idx, token in enumerate(__magic_name__   )
															]
															self.assertListEqual(__magic_name__ ,							__magic_name__   )
															self.assertListEqual(__magic_name__ ,							__magic_name__   )






			@slow
			def       lowerCamelCase  (self   )					->       Dict:


							'''simple docstring'''



							snake_case_						:   Dict           =  self.tokenizer_class(self.vocab_file ,							self.word_shape_file ,							self.word_pronunciation_file   )

							snake_case_						:   Optional[Any]           =  tokenizer.encode('''你好''' ,							add_special_tokens=__magic_name__   )
							snake_case_						:   List[Any]           =  tokenizer.encode('''你是谁''' ,							add_special_tokens=__magic_name__   )

							snake_case_						:   Any           =  tokenizer.build_inputs_with_special_tokens(__magic_name__   )
							snake_case_						:   Union[str, Any]           =  tokenizer.build_inputs_with_special_tokens(__magic_name__ ,							__magic_name__   )

							assert encoded_sentence == [1] + text + [2]
							assert encoded_pair == [1] + text + [2] + text_a + [2]






			def       lowerCamelCase  (self   )					->       str:


							'''simple docstring'''



							snake_case_						:   Optional[int]           =  self.get_tokenizers(do_lower_case=__magic_name__   )
							for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
															snake_case_						:   Optional[int]           =  '''你好，你是谁'''
															snake_case_						:   Union[str, Any]           =  tokenizer.tokenize(__magic_name__   )
															snake_case_						:   List[Any]           =  tokenizer.convert_tokens_to_ids(__magic_name__   )
															snake_case_						:   List[str]           =  tokenizer.convert_tokens_to_shape_ids(__magic_name__   )
															snake_case_						:   Optional[int]           =  tokenizer.convert_tokens_to_pronunciation_ids(__magic_name__   )
															snake_case_						:   Optional[Any]           =  tokenizer.prepare_for_model(
															    __magic_name__ ,							__magic_name__ ,							__magic_name__ ,							add_special_tokens=__magic_name__   )

															snake_case_						:   Tuple           =  tokenizer.encode_plus(__magic_name__ ,							add_special_tokens=__magic_name__   )

															self.assertEqual(__magic_name__ ,							__magic_name__   )







from typing import TYPE_CHECKING

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


lowerCAmelCase_    =    {'''configuration_xglm''': ['''XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XGLMConfig''']}

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

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

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''XGLMForCausalLM''',
	    '''XGLMModel''',
	    '''XGLMPreTrainedModel''',
	]


try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''FlaxXGLMForCausalLM''',
	    '''FlaxXGLMModel''',
	    '''FlaxXGLMPreTrainedModel''',
	]


try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TFXGLMForCausalLM''',
	    '''TFXGLMModel''',
	    '''TFXGLMPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_xglm import XGLMTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_xglm_fast import XGLMTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_xglm import (
		    TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFXGLMForCausalLM,
		    TFXGLMModel,
		    TFXGLMPreTrainedModel,
		)


else:
	import sys

	lowerCAmelCase_    =    _LazyModule(__name__, globals()['''__file__'''], _import_structure)
