



"""simple docstring"""




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


A__     				=	logging.get_logger(__name__)

A__     				=	{
    '''google/reformer-crime-and-punishment''': (
        '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json'''
    ),
    '''google/reformer-enwik8''': '''https://huggingface.co/google/reformer-enwik8/resolve/main/config.json''',
}





class  __lowerCAmelCase			(					snake_case__	):
				__lowerCamelCase			=    '''reformer'''
				__lowerCamelCase			=    ['''past_buckets_states''']
				__lowerCamelCase			=    {}




				def __init__(							self						,    _snake_case=64						,    _snake_case=["local", "lsh", "local", "lsh", "local", "lsh"]						,    _snake_case=1.0						,    _snake_case=True						,    _snake_case=[64, 64]						,    _snake_case=[64, 192]						,    _snake_case=0						,    _snake_case=2						,    _snake_case=512						,    _snake_case=None						,    _snake_case="relu"						,    _snake_case=0.05						,    _snake_case=256						,    _snake_case=0.02						,    _snake_case=False						,    _snake_case=1e-12						,    _snake_case=1						,    _snake_case=0						,    _snake_case=0.05						,    _snake_case=64						,    _snake_case=64						,    _snake_case=0.0						,    _snake_case=1						,    _snake_case=0						,    _snake_case=4096						,    _snake_case=12						,    _snake_case=None						,    _snake_case=1						,    _snake_case=0						,    _snake_case=320						,    _snake_case=False						,    _snake_case=True						,    _snake_case=None						,    **_snake_case						,    ):



									"""simple docstring"""





									_lowerCAmelCase      =   hash_seed
									_lowerCAmelCase      =   vocab_size
									_lowerCAmelCase      =   attention_head_size
									_lowerCAmelCase      =   hidden_size
									_lowerCAmelCase      =   num_attention_heads
									_lowerCAmelCase      =   num_hashes
									_lowerCAmelCase      =   len(_A		)
									_lowerCAmelCase      =   tuple(_A		) if isinstance(_A						,    _A		) else num_buckets
									_lowerCAmelCase      =   lsh_attn_chunk_length
									_lowerCAmelCase      =   local_attn_chunk_length
									_lowerCAmelCase      =   lsh_num_chunks_after
									_lowerCAmelCase      =   lsh_num_chunks_before
									_lowerCAmelCase      =   local_num_chunks_after
									_lowerCAmelCase      =   local_num_chunks_before
									_lowerCAmelCase      =   hidden_act
									_lowerCAmelCase      =   feed_forward_size
									_lowerCAmelCase      =   hidden_dropout_prob
									_lowerCAmelCase      =   lsh_attention_probs_dropout_prob
									_lowerCAmelCase      =   local_attention_probs_dropout_prob
									_lowerCAmelCase      =   max_position_embeddings
									_lowerCAmelCase      =   initializer_range
									_lowerCAmelCase      =   layer_norm_eps
									_lowerCAmelCase      =   axial_pos_embds
									_lowerCAmelCase      =   tuple(_A		)
									_lowerCAmelCase      =   tuple(_A		)
									_lowerCAmelCase      =   axial_norm_std
									_lowerCAmelCase      =   chunk_size_lm_head
									_lowerCAmelCase      =   attn_layers
									_lowerCAmelCase      =   use_cache
									_lowerCAmelCase      =   classifier_dropout
									super().__init__(
									    pad_token_id=_A						,    eos_token_id=_A						,    is_decoder=_A						,    tie_word_embeddings=_A						,    **_A						,    )








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"""		)



