






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     lowerCamelCase (lowercase_					,    unittest.TestCase     ):







		'''simple docstring'''



		_snake_case       :       int					=    MgpstrTokenizer
		_snake_case       :       Any					=    False
		_snake_case       :       int					=    {}
		_snake_case       :       List[str]					=    False



		def    __UpperCAmelCase     (				self  )      ->				Tuple:
							super().setUp()

							# fmt: off
							UpperCAmelCase_       : Union[str, Any]				=		['[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
							UpperCAmelCase_       : Optional[Any]				=		dict(zip(_UpperCamelCase							,						range(len(_UpperCamelCase  )  )  )  )

							UpperCAmelCase_       : List[Any]				=		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(_UpperCamelCase  ) + '\n'  )



		def    __UpperCAmelCase     (				self							,						**_UpperCamelCase  )      ->				List[Any]:
							return MgpstrTokenizer.from_pretrained(self.tmpdirname							,						**_UpperCamelCase  )



		def    __UpperCAmelCase     (				self							,						_UpperCamelCase  )      ->				Dict:
							UpperCAmelCase_       : str				=		'tester'
							UpperCAmelCase_       : int				=		'tester'
							return input_text, output_text



		@unittest.skip('MGP-STR always lower cases letters.'  )
		def    __UpperCAmelCase     (				self  )      ->				List[Any]:
							pass



		def    __UpperCAmelCase     (				self  )      ->				Dict:
							UpperCAmelCase_       : Any				=		self.get_tokenizers(do_lower_case=_UpperCamelCase  )
							for tokenizer in tokenizers:
												with self.subTest(f"{tokenizer.__class__.__name__}"  ):
																	UpperCAmelCase_       : List[str]				=		'[SPECIAL_TOKEN]'

																	tokenizer.add_special_tokens({'cls_token': special_token}  )
																	UpperCAmelCase_       : Optional[Any]				=		tokenizer.encode([special_token]							,						add_special_tokens=_UpperCamelCase  )
																	self.assertEqual(len(_UpperCamelCase  )							,						1  )

																	UpperCAmelCase_       : str				=		tokenizer.decode(_UpperCamelCase							,						skip_special_tokens=_UpperCamelCase  )
																	self.assertTrue(special_token not in decoded  )



		def    __UpperCAmelCase     (				self  )      ->				Any:
							UpperCAmelCase_       : Optional[Any]				=		self.get_tokenizers()
							for tokenizer in tokenizers:
												with self.subTest(f"{tokenizer.__class__.__name__}"  ):
																	UpperCAmelCase_			,    UpperCAmelCase_       : List[str]				=		self.get_input_output_texts(_UpperCamelCase  )

																	UpperCAmelCase_       : Dict				=		tokenizer.tokenize(_UpperCamelCase  )
																	UpperCAmelCase_       : Optional[Any]				=		tokenizer.convert_tokens_to_ids(_UpperCamelCase  )
																	UpperCAmelCase_       : Optional[Any]				=		tokenizer.encode(_UpperCamelCase							,						add_special_tokens=_UpperCamelCase  )
																	self.assertListEqual(_UpperCamelCase							,						_UpperCamelCase  )

																	UpperCAmelCase_       : Optional[int]				=		tokenizer.convert_ids_to_tokens(_UpperCamelCase  )
																	self.assertNotEqual(len(_UpperCamelCase  )							,						0  )
																	UpperCAmelCase_       : str				=		tokenizer.decode(_UpperCamelCase  )
																	self.assertIsInstance(_UpperCamelCase							,						_UpperCamelCase  )

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



		@unittest.skip('MGP-STR tokenizer only handles one sequence.'  )
		def    __UpperCAmelCase     (				self  )      ->				List[Any]:
							pass



		@unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer'  )
		def    __UpperCAmelCase     (				self  )      ->				Optional[int]:
							pass









from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					Union[str, Any]			     =     ['''image_processor''', '''tokenizer''']
				__SCREAMING_SNAKE_CASE   :					Tuple			     =     '''AutoImageProcessor'''
				__SCREAMING_SNAKE_CASE   :					Dict			     =     '''AutoTokenizer'''




				def __init__(   self ,  snake_case ,  snake_case			):
											super().__init__(snake_case ,  snake_case			)
											snake_case_     							=       self.image_processor




				def __call__(   self ,  snake_case=None ,  snake_case=None ,  snake_case=None ,  **snake_case			):

											if text is None and images is None:
																		raise ValueError('You have to specify either text or images. Both cannot be none.'			)

											if text is not None:
																		snake_case_     							=       self.tokenizer(snake_case ,  return_tensors=snake_case ,  **snake_case			)

											if images is not None:
																		snake_case_     							=       self.image_processor(snake_case ,  return_tensors=snake_case ,  **snake_case			)

											if text is not None and images is not None:
																		snake_case_     							=       image_features.pixel_values
																		return encoding
											elif text is not None:
																		return encoding
											else:
																		return BatchEncoding(data=dict(**snake_case			) ,  tensor_type=snake_case			)




				def        a				(   self ,  *snake_case ,  **snake_case			):
											return self.tokenizer.batch_decode(*snake_case ,  **snake_case			)




				def        a				(   self ,  *snake_case ,  **snake_case			):
											return self.tokenizer.decode(*snake_case ,  **snake_case			)




				@property
				def        a				(   self			):
											return ["input_ids", "attention_mask", "pixel_values"]




