


import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
						from PIL import Image

						from transformers import (
						    AutoProcessor,
						    BertTokenizerFast,
						    BlipImageProcessor,
						    GPTaTokenizer,
						    InstructBlipProcessor,
						    PreTrainedTokenizerFast,
						)







@require_vision
class 				snake_case__(							unittest.TestCase							):







						'''simple docstring'''




						def 						lowercase_ (				self							)					->    Dict:
										lowerCAmelCase_ :      List[Any]    				=				tempfile.mkdtemp()

										lowerCAmelCase_ :      Any    				=				BlipImageProcessor()
										lowerCAmelCase_ :      Any    				=				GPTaTokenizer.from_pretrained('''hf-internal-testing/tiny-random-GPT2Model'''							)
										lowerCAmelCase_ :      Tuple    				=				BertTokenizerFast.from_pretrained('''hf-internal-testing/tiny-random-bert'''							)

										lowerCAmelCase_ :      str    				=				InstructBlipProcessor(__lowercase   ,						__lowercase   ,						__lowercase							)

										processor.save_pretrained(self.tmpdirname							)




						def 						lowercase_ (				self   ,						**__lowercase							)					->    Any:
										return AutoProcessor.from_pretrained(self.tmpdirname   ,						**__lowercase							).tokenizer




						def 						lowercase_ (				self   ,						**__lowercase							)					->    str:
										return AutoProcessor.from_pretrained(self.tmpdirname   ,						**__lowercase							).image_processor




						def 						lowercase_ (				self   ,						**__lowercase							)					->    List[Any]:
										return AutoProcessor.from_pretrained(self.tmpdirname   ,						**__lowercase							).qformer_tokenizer




						def 						lowercase_ (				self							)					->    int:
										shutil.rmtree(self.tmpdirname							)




						def 						lowercase_ (				self							)					->    Optional[int]:
										lowerCAmelCase_ :      Optional[Any]    				=				[np.random.randint(2_5_5   ,						size=(3, 3_0, 4_0_0)   ,						dtype=np.uinta							)]

										lowerCAmelCase_ :      str    				=				[Image.fromarray(np.moveaxis(__lowercase   ,						0   ,						-1							)							) for x in image_inputs]

										return image_inputs




						def 						lowercase_ (				self							)					->    List[str]:
										lowerCAmelCase_ :      Optional[Any]    				=				InstructBlipProcessor(
										    tokenizer=self.get_tokenizer()   ,						image_processor=self.get_image_processor()   ,						qformer_tokenizer=self.get_qformer_tokenizer()   ,						)
										processor.save_pretrained(self.tmpdirname							)

										lowerCAmelCase_ :      Tuple    				=				self.get_tokenizer(bos_token='''(BOS)'''   ,						eos_token='''(EOS)'''							)
										lowerCAmelCase_ :      Any    				=				self.get_image_processor(do_normalize=__lowercase   ,						padding_value=1.0							)

										lowerCAmelCase_ :      Tuple    				=				InstructBlipProcessor.from_pretrained(
										    self.tmpdirname   ,						bos_token='''(BOS)'''   ,						eos_token='''(EOS)'''   ,						do_normalize=__lowercase   ,						padding_value=1.0							)

										self.assertEqual(processor.tokenizer.get_vocab()   ,						tokenizer_add_kwargs.get_vocab()							)
										self.assertIsInstance(processor.tokenizer   ,						__lowercase							)

										self.assertEqual(processor.image_processor.to_json_string()   ,						image_processor_add_kwargs.to_json_string()							)
										self.assertIsInstance(processor.image_processor   ,						__lowercase							)
										self.assertIsInstance(processor.qformer_tokenizer   ,						__lowercase							)




						def 						lowercase_ (				self							)					->    Any:
										lowerCAmelCase_ :      Optional[int]    				=				self.get_image_processor()
										lowerCAmelCase_ :      List[Any]    				=				self.get_tokenizer()
										lowerCAmelCase_ :      Optional[Any]    				=				self.get_qformer_tokenizer()

										lowerCAmelCase_ :      Optional[int]    				=				InstructBlipProcessor(
										    tokenizer=__lowercase   ,						image_processor=__lowercase   ,						qformer_tokenizer=__lowercase							)

										lowerCAmelCase_ :      List[Any]    				=				self.prepare_image_inputs()

										lowerCAmelCase_ :      Optional[int]    				=				image_processor(__lowercase   ,						return_tensors='''np'''							)
										lowerCAmelCase_ :      Dict    				=				processor(images=__lowercase   ,						return_tensors='''np'''							)

										for key in input_feat_extract.keys():
														self.assertAlmostEqual(input_feat_extract[key].sum()   ,						input_processor[key].sum()   ,						delta=1e-2							)




						def 						lowercase_ (				self							)					->    List[str]:
										lowerCAmelCase_ :      Dict    				=				self.get_image_processor()
										lowerCAmelCase_ :      Optional[Any]    				=				self.get_tokenizer()
										lowerCAmelCase_ :      str    				=				self.get_qformer_tokenizer()

										lowerCAmelCase_ :      int    				=				InstructBlipProcessor(
										    tokenizer=__lowercase   ,						image_processor=__lowercase   ,						qformer_tokenizer=__lowercase							)

										lowerCAmelCase_ :      Optional[int]    				=				'''lower newer'''

										lowerCAmelCase_ :      List[Any]    				=				processor(text=__lowercase							)

										lowerCAmelCase_ :      int    				=				tokenizer(__lowercase   ,						return_token_type_ids=__lowercase							)
										lowerCAmelCase_ :      List[Any]    				=				qformer_tokenizer(__lowercase   ,						return_token_type_ids=__lowercase							)

										for key in encoded_tokens.keys():
														self.assertListEqual(encoded_tokens[key]   ,						encoded_processor[key]							)

										for key in encoded_tokens_qformer.keys():
														self.assertListEqual(encoded_tokens_qformer[key]   ,						encoded_processor['''qformer_''' + key]							)




						def 						lowercase_ (				self							)					->    Tuple:
										lowerCAmelCase_ :      Dict    				=				self.get_image_processor()
										lowerCAmelCase_ :      Union[str, Any]    				=				self.get_tokenizer()
										lowerCAmelCase_ :      List[Any]    				=				self.get_qformer_tokenizer()

										lowerCAmelCase_ :      Optional[Any]    				=				InstructBlipProcessor(
										    tokenizer=__lowercase   ,						image_processor=__lowercase   ,						qformer_tokenizer=__lowercase							)

										lowerCAmelCase_ :      Dict    				=				'''lower newer'''
										lowerCAmelCase_ :      Optional[int]    				=				self.prepare_image_inputs()

										lowerCAmelCase_ :      Optional[int]    				=				processor(text=__lowercase   ,						images=__lowercase							)

										self.assertListEqual(
										    list(inputs.keys()							)   ,						['''input_ids''', '''attention_mask''', '''qformer_input_ids''', '''qformer_attention_mask''', '''pixel_values''']   ,						)

										# test if it raises when no input is passed
										with pytest.raises(__lowercase							):
														processor()




						def 						lowercase_ (				self							)					->    List[Any]:
										lowerCAmelCase_ :      int    				=				self.get_image_processor()
										lowerCAmelCase_ :      Tuple    				=				self.get_tokenizer()
										lowerCAmelCase_ :      int    				=				self.get_qformer_tokenizer()

										lowerCAmelCase_ :      Optional[int]    				=				InstructBlipProcessor(
										    tokenizer=__lowercase   ,						image_processor=__lowercase   ,						qformer_tokenizer=__lowercase							)

										lowerCAmelCase_ :      Any    				=				[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

										lowerCAmelCase_ :      Tuple    				=				processor.batch_decode(__lowercase							)
										lowerCAmelCase_ :      Dict    				=				tokenizer.batch_decode(__lowercase							)

										self.assertListEqual(__lowercase   ,						__lowercase							)




						def 						lowercase_ (				self							)					->    Optional[Any]:
										lowerCAmelCase_ :      str    				=				self.get_image_processor()
										lowerCAmelCase_ :      Optional[int]    				=				self.get_tokenizer()
										lowerCAmelCase_ :      Optional[int]    				=				self.get_qformer_tokenizer()

										lowerCAmelCase_ :      List[str]    				=				InstructBlipProcessor(
										    tokenizer=__lowercase   ,						image_processor=__lowercase   ,						qformer_tokenizer=__lowercase							)

										lowerCAmelCase_ :      Union[str, Any]    				=				'''lower newer'''
										lowerCAmelCase_ :      Optional[int]    				=				self.prepare_image_inputs()

										lowerCAmelCase_ :      Tuple    				=				processor(text=__lowercase   ,						images=__lowercase							)

										self.assertListEqual(
										    list(inputs.keys()							)   ,						['''input_ids''', '''attention_mask''', '''qformer_input_ids''', '''qformer_attention_mask''', '''pixel_values''']   ,						)



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase			:  Optional[int]     =logging.get_logger(__name__)

_UpperCAmelCase			:  Union[str, Any]     ={
    """abeja/gpt-neox-japanese-2.7b""": """https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json""",
}







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  str					=							"""gpt_neox_japanese"""




						def __init__(				self   ,						__lowercase=3_2_0_0_0   ,						__lowercase=2_5_6_0   ,						__lowercase=3_2   ,						__lowercase=3_2   ,						__lowercase=4   ,						__lowercase="gelu"   ,						__lowercase=1.00   ,						__lowercase=1_0_0_0_0   ,						__lowercase=2_0_4_8   ,						__lowercase=0.02   ,						__lowercase=1e-5   ,						__lowercase=True   ,						__lowercase=3_1_9_9_6   ,						__lowercase=3_1_9_9_9   ,						__lowercase=0.1   ,						__lowercase=0.0   ,						**__lowercase   ,						)					->    str:
										super().__init__(bos_token_id=__lowercase   ,						eos_token_id=__lowercase   ,						**__lowercase							)
										lowerCAmelCase_ :      Optional[Any]    				=				vocab_size
										lowerCAmelCase_ :      Tuple    				=				max_position_embeddings
										lowerCAmelCase_ :      Optional[Any]    				=				hidden_size
										lowerCAmelCase_ :      Optional[Any]    				=				num_hidden_layers
										lowerCAmelCase_ :      str    				=				num_attention_heads
										lowerCAmelCase_ :      str    				=				intermediate_multiple_size
										lowerCAmelCase_ :      str    				=				hidden_act
										lowerCAmelCase_ :      Dict    				=				rotary_pct
										lowerCAmelCase_ :      Union[str, Any]    				=				rotary_emb_base
										lowerCAmelCase_ :      int    				=				initializer_range
										lowerCAmelCase_ :      Any    				=				layer_norm_eps
										lowerCAmelCase_ :      Optional[Any]    				=				use_cache
										lowerCAmelCase_ :      Tuple    				=				attention_dropout
										lowerCAmelCase_ :      Dict    				=				hidden_dropout