


'''simple docstring'''

from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_torch_available
from ...utils import OptionalDependencyNotAvailable


_UpperCAmelCase				: str							    =				{
    """configuration_gpt_neox_japanese""": ["""GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXJapaneseConfig"""],
    """tokenization_gpt_neox_japanese""": ["""GPTNeoXJapaneseTokenizer"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_UpperCAmelCase				: Union[str, Any]							    =				[
	    """GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """GPTNeoXJapaneseForCausalLM""",
	    """GPTNeoXJapaneseLayer""",
	    """GPTNeoXJapaneseModel""",
	    """GPTNeoXJapanesePreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
	from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox_japanese import (
		    GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXJapaneseForCausalLM,
		    GPTNeoXJapaneseLayer,
		    GPTNeoXJapaneseModel,
		    GPTNeoXJapanesePreTrainedModel,
		)


else:
	import sys

	_UpperCAmelCase				: int							    =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





'''simple docstring'''

import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class       a__				( __A							,						unittest.TestCase      ):







				"""simple docstring"""



				__UpperCamelCase    :		int	=	MgpstrTokenizer
				__UpperCamelCase    :		Optional[Any]	=	False
				__UpperCamelCase    :		Optional[int]	=	{}
				__UpperCamelCase    :		List[Any]	=	False




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

										# fmt: off
										__lowerCAmelCase							       =				['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
										# fmt: on
										__lowerCAmelCase							       =				dict(zip(__lowercase       ,			range(len(__lowercase		)		)		)		)

										__lowerCAmelCase							       =				os.path.join(self.tmpdirname       ,			VOCAB_FILES_NAMES['''vocab_file''']		)
										with open(self.vocab_file       ,			'''w'''       ,			encoding='''utf-8'''		) as fp:
																fp.write(json.dumps(__lowercase		) + '''\n'''		)




				def 					_snake_case  (self       ,			**__lowercase		):
										return MgpstrTokenizer.from_pretrained(self.tmpdirname       ,			**__lowercase		)




				def 					_snake_case  (self       ,			__lowercase		):
										__lowerCAmelCase							       =				'''tester'''
										__lowerCAmelCase							       =				'''tester'''
										return input_text, output_text




				@unittest.skip('''MGP-STR always lower cases letters.'''		)
				def 					_snake_case  (self		):
										pass




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.get_tokenizers(do_lower_case=__lowercase		)
										for tokenizer in tokenizers:
																with self.subTest(F"""{tokenizer.__class__.__name__}"""		):
																						__lowerCAmelCase							       =				'''[SPECIAL_TOKEN]'''

																						tokenizer.add_special_tokens({'''cls_token''': special_token}		)
																						__lowerCAmelCase							       =				tokenizer.encode([special_token]       ,			add_special_tokens=__lowercase		)
																						self.assertEqual(len(__lowercase		)       ,			1		)

																						__lowerCAmelCase							       =				tokenizer.decode(__lowercase       ,			skip_special_tokens=__lowercase		)
																						self.assertTrue(special_token not in decoded		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.get_tokenizers()
										for tokenizer in tokenizers:
																with self.subTest(F"""{tokenizer.__class__.__name__}"""		):
																						__lowerCAmelCase       ,					__lowerCAmelCase							       =				self.get_input_output_texts(__lowercase		)

																						__lowerCAmelCase							       =				tokenizer.tokenize(__lowercase		)
																						__lowerCAmelCase							       =				tokenizer.convert_tokens_to_ids(__lowercase		)
																						__lowerCAmelCase							       =				tokenizer.encode(__lowercase       ,			add_special_tokens=__lowercase		)
																						self.assertListEqual(__lowercase       ,			__lowercase		)

																						__lowerCAmelCase							       =				tokenizer.convert_ids_to_tokens(__lowercase		)
																						self.assertNotEqual(len(__lowercase		)       ,			0		)
																						__lowerCAmelCase							       =				tokenizer.decode(__lowercase		)
																						self.assertIsInstance(__lowercase       ,			__lowercase		)

																						self.assertEqual(text_a.replace(''' '''       ,			''''''		)       ,			__lowercase		)




				@unittest.skip('''MGP-STR tokenizer only handles one sequence.'''		)
				def 					_snake_case  (self		):
										pass




				@unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''		)
				def 					_snake_case  (self		):
										pass

