



"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


A__     				=	logging.get_logger(__name__)

A__     				=	{
    """uclanlp/plbart-base""": """https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json""",
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}





class  __lowerCAmelCase			(					lowerCamelCase__	):
				__lowerCamelCase			=    '''plbart'''
				__lowerCamelCase			=    ['''past_key_values''']
				__lowerCamelCase			=    {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}




				def __init__(							self						,    _snake_case=50005						,    _snake_case=1024						,    _snake_case=6						,    _snake_case=3072						,    _snake_case=12						,    _snake_case=6						,    _snake_case=3072						,    _snake_case=12						,    _snake_case=0.0						,    _snake_case=0.0						,    _snake_case=True						,    _snake_case=True						,    _snake_case="gelu"						,    _snake_case=768						,    _snake_case=0.1						,    _snake_case=0.1						,    _snake_case=0.0						,    _snake_case=0.02						,    _snake_case=0.0						,    _snake_case=True						,    _snake_case=1						,    _snake_case=0						,    _snake_case=2						,    _snake_case=2						,    **_snake_case						,    ):



									"""simple docstring"""





									_lowerCAmelCase      =   vocab_size
									_lowerCAmelCase      =   max_position_embeddings
									_lowerCAmelCase      =   d_model
									_lowerCAmelCase      =   encoder_ffn_dim
									_lowerCAmelCase      =   encoder_layers
									_lowerCAmelCase      =   encoder_attention_heads
									_lowerCAmelCase      =   decoder_ffn_dim
									_lowerCAmelCase      =   decoder_layers
									_lowerCAmelCase      =   decoder_attention_heads
									_lowerCAmelCase      =   dropout
									_lowerCAmelCase      =   attention_dropout
									_lowerCAmelCase      =   activation_dropout
									_lowerCAmelCase      =   activation_function
									_lowerCAmelCase      =   init_std
									_lowerCAmelCase      =   encoder_layerdrop
									_lowerCAmelCase      =   decoder_layerdrop
									_lowerCAmelCase      =   classifier_dropout
									_lowerCAmelCase      =   use_cache
									_lowerCAmelCase      =   encoder_layers
									_lowerCAmelCase      =   scale_embedding  # scale factor will be sqrt(d_model) if True
									super().__init__(
									    pad_token_id=_snake_case						,    bos_token_id=_snake_case						,    eos_token_id=_snake_case						,    is_encoder_decoder=_snake_case						,    forced_eos_token_id=_snake_case						,    **_snake_case						,    )





class  __lowerCAmelCase			(					lowerCamelCase__	):




				@property
				def 							snake_case       (							self		):



									"""simple docstring"""





									return OrderedDict(
									    [
									        ("""input_ids""", {0: """batch""", 1: """sequence"""}),
									        ("""attention_mask""", {0: """batch""", 1: """sequence"""}),
									    ]		)




				@property
				def 							snake_case       (							self		):



									"""simple docstring"""





									if self.use_past:
														return OrderedDict(
														    [
														        ("""last_hidden_state""", {0: """batch""", 1: """sequence"""}),
														        ("""past_keys""", {0: """batch""", 2: """sequence"""}),
														        ("""encoder_last_hidden_state""", {0: """batch""", 1: """sequence"""}),
														    ]		)
									else:
														return OrderedDict(
														    [
														        ("""last_hidden_state""", {0: """batch""", 1: """sequence"""}),
														        ("""encoder_last_hidden_state""", {0: """batch""", 1: """sequence"""}),
														    ]		)








import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
	from PIL import Image





class  __lowerCAmelCase			(					unittest.TestCase	,						lowerCamelCase__	):




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   load_tool("""image-question-answering"""		)
									self.tool.setup()
									_lowerCAmelCase      =   load_tool("""image-question-answering"""						,    remote=_snake_case		)




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""		)
									_lowerCAmelCase      =   self.tool(_snake_case						,    """How many cats are sleeping on the couch?"""		)
									self.assertEqual(_snake_case						,    """2"""		)




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""		)
									_lowerCAmelCase      =   self.remote_tool(_snake_case						,    """How many cats are sleeping on the couch?"""		)
									self.assertEqual(_snake_case						,    """2"""		)




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""		)
									_lowerCAmelCase      =   self.tool(image=_snake_case						,    question="""How many cats are sleeping on the couch?"""		)
									self.assertEqual(_snake_case						,    """2"""		)




				def 							snake_case       (							self		):



									"""simple docstring"""





									_lowerCAmelCase      =   Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""		)
									_lowerCAmelCase      =   self.remote_tool(image=_snake_case						,    question="""How many cats are sleeping on the couch?"""		)
									self.assertEqual(_snake_case						,    """2"""		)



