




'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


_snake_case      :      str   							=		logging.get_logger(__name__)

_snake_case      :      Tuple   							=		{
    'squeezebert/squeezebert-uncased': (
        'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json'
    ),
    'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json',
    'squeezebert/squeezebert-mnli-headless': (
        'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json'
    ),
}

class 			A    (		_a    ):
							lowercase_							=				SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
							lowercase_							=				'squeezebert'







							def __init__(  self       :  Union[str, Any]							,			lowerCAmelCase_       :  Tuple=3_05_22							,			lowerCAmelCase_       :  Dict=7_68							,			lowerCAmelCase_       :  int=12							,			lowerCAmelCase_       :  Tuple=12							,			lowerCAmelCase_       :  int=30_72							,			lowerCAmelCase_       :  Union[str, Any]="gelu"							,			lowerCAmelCase_       :  Tuple=0.1							,			lowerCAmelCase_       :  Union[str, Any]=0.1							,			lowerCAmelCase_       :  Optional[Any]=5_12							,			lowerCAmelCase_       :  Union[str, Any]=2							,			lowerCAmelCase_       :  Optional[Any]=0.0_2							,			lowerCAmelCase_       :  Dict=1e-12							,			lowerCAmelCase_       :  Any=0							,			lowerCAmelCase_       :  str=7_68							,			lowerCAmelCase_       :  List[str]=4							,			lowerCAmelCase_       :  Tuple=4							,			lowerCAmelCase_       :  Any=4							,			lowerCAmelCase_       :  Optional[int]=1							,			lowerCAmelCase_       :  Optional[int]=4							,			lowerCAmelCase_       :  int=4							,			**lowerCAmelCase_       :  Tuple							,			)			->							Dict:


														"""simple docstring"""


														super().__init__(pad_token_id=lowerCAmelCase_							,			**lowerCAmelCase_					)

														_a	     =				vocab_size
														_a	     =				hidden_size
														_a	     =				num_hidden_layers
														_a	     =				num_attention_heads
														_a	     =				hidden_act
														_a	     =				intermediate_size
														_a	     =				hidden_dropout_prob
														_a	     =				attention_probs_dropout_prob
														_a	     =				max_position_embeddings
														_a	     =				type_vocab_size
														_a	     =				initializer_range
														_a	     =				layer_norm_eps
														_a	     =				embedding_size
														_a	     =				q_groups
														_a	     =				k_groups
														_a	     =				v_groups
														_a	     =				post_attention_groups
														_a	     =				intermediate_groups
														_a	     =				output_groups



class 			A    (		_a    ):







							@property
							def    __lowerCAmelCase			(  self       :  Tuple					)			->							Mapping[str, Mapping[int, str]]:


														"""simple docstring"""


														if self.task == "multiple-choice":
																					_a	     =				{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
														else:
																					_a	     =				{0: '''batch''', 1: '''sequence'''}
														return OrderedDict(
														    [
														        ('''input_ids''', dynamic_axis),
														        ('''attention_mask''', dynamic_axis),
														        ('''token_type_ids''', dynamic_axis),
														    ]					)







'''simple docstring'''


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 			A    (		unittest.TestCase     ,_a    ):







							def    __lowerCAmelCase			(  self       :  Optional[int]					)			->							Optional[int]:


														"""simple docstring"""


														_a	     =				load_tool('''image-question-answering'''					)
														self.tool.setup()
														_a	     =				load_tool('''image-question-answering'''							,			remote=lowerCAmelCase_					)







							def    __lowerCAmelCase			(  self       :  Tuple					)			->							Optional[int]:


														"""simple docstring"""


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







							def    __lowerCAmelCase			(  self       :  List[str]					)			->							Union[str, Any]:


														"""simple docstring"""


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







							def    __lowerCAmelCase			(  self       :  Dict					)			->							Tuple:


														"""simple docstring"""


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







							def    __lowerCAmelCase			(  self       :  Tuple					)			->							Dict:


														"""simple docstring"""


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

