




from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


UpperCAmelCase_		:				List[str]									=     logging.get_logger(__name__)

UpperCAmelCase_		:				Optional[Any]									=     {
    "google/efficientnet-b7": "https://huggingface.co/google/efficientnet-b7/resolve/main/config.json",
}




class 		__A      (			UpperCamelCase__			):
      UpperCamelCase     						=					"""efficientnet"""

      def __init__(		self   :int    , __snake_case   :int = 3    , __snake_case   :int = 6_00    , __snake_case   :float = 2.0    , __snake_case   :float = 3.1    , __snake_case   :int = 8    , __snake_case   :List[int] = [3, 3, 5, 3, 5, 5, 3]    , __snake_case   :List[int] = [32, 16, 24, 40, 80, 1_12, 1_92]    , __snake_case   :List[int] = [16, 24, 40, 80, 1_12, 1_92, 3_20]    , __snake_case   :List[int] = []    , __snake_case   :List[int] = [1, 2, 2, 2, 1, 2, 1]    , __snake_case   :List[int] = [1, 2, 2, 3, 3, 4, 1]    , __snake_case   :List[int] = [1, 6, 6, 6, 6, 6, 6]    , __snake_case   :float = 0.25    , __snake_case   :str = "swish"    , __snake_case   :int = 25_60    , __snake_case   :str = "mean"    , __snake_case   :float = 0.02    , __snake_case   :float = 0.001    , __snake_case   :float = 0.99    , __snake_case   :float = 0.5    , __snake_case   :float = 0.2    , **__snake_case   :List[Any]    , ):
          '''simple docstring'''

          super().__init__(**__snake_case )

          __magic_name__	:	Optional[Any]								=num_channels
          __magic_name__	:	Tuple								=image_size
          __magic_name__	:	Union[str, Any]								=width_coefficient
          __magic_name__	:	Dict								=depth_coefficient
          __magic_name__	:	Union[str, Any]								=depth_divisor
          __magic_name__	:	int								=kernel_sizes
          __magic_name__	:	Any								=in_channels
          __magic_name__	:	Optional[Any]								=out_channels
          __magic_name__	:	Optional[int]								=depthwise_padding
          __magic_name__	:	Optional[int]								=strides
          __magic_name__	:	Dict								=num_block_repeats
          __magic_name__	:	Union[str, Any]								=expand_ratios
          __magic_name__	:	List[Any]								=squeeze_expansion_ratio
          __magic_name__	:	Union[str, Any]								=hidden_act
          __magic_name__	:	Dict								=hidden_dim
          __magic_name__	:	int								=pooling_type
          __magic_name__	:	List[str]								=initializer_range
          __magic_name__	:	Tuple								=batch_norm_eps
          __magic_name__	:	Optional[Any]								=batch_norm_momentum
          __magic_name__	:	Optional[int]								=dropout_rate
          __magic_name__	:	Optional[int]								=drop_connect_rate
          __magic_name__	:	int								=sum(__snake_case ) * 4




class 		__A      (			UpperCamelCase__			):
      UpperCamelCase     						=					version.parse("""1.11"""			)

      @property
      def     A__						(		self   :str ):
          '''simple docstring'''

          return OrderedDict(
              [
                  ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
              ] )


      @property
      def     A__						(		self   :Dict ):
          '''simple docstring'''

          return 1E-5










import pytest

import datasets


# Import fixture modules as plugins
UpperCAmelCase_		:				Union[str, Any]									=     ["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
				for item in items:
								if any(marker in item.keywords for marker in ["""integration""", """unit"""]   ):
												continue
								item.add_marker(pytest.mark.unit   )




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				config.addinivalue_line("""markers"""	,     """torchaudio_latest: mark test to run with torchaudio>=0.12"""   )




@pytest.fixture(autouse=lowerCamelCase   )
def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
				__magic_name__	:	Tuple								=tmp_path_factory.getbasetemp() / """cache"""
				__magic_name__	:	Optional[int]								=test_hf_cache_home / """datasets"""
				__magic_name__	:	List[str]								=test_hf_cache_home / """metrics"""
				__magic_name__	:	List[str]								=test_hf_cache_home / """modules"""
				monkeypatch.setattr("""datasets.config.HF_DATASETS_CACHE"""	,     str(lowerCamelCase   )   )
				monkeypatch.setattr("""datasets.config.HF_METRICS_CACHE"""	,     str(lowerCamelCase   )   )
				monkeypatch.setattr("""datasets.config.HF_MODULES_CACHE"""	,     str(lowerCamelCase   )   )
				__magic_name__	:	Optional[Any]								=test_hf_datasets_cache / """downloads"""
				monkeypatch.setattr("""datasets.config.DOWNLOADED_DATASETS_PATH"""	,     str(lowerCamelCase   )   )
				__magic_name__	:	Tuple								=test_hf_datasets_cache / """downloads""" / """extracted"""
				monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""	,     str(lowerCamelCase   )   )




@pytest.fixture(autouse=lowerCamelCase	,     scope="""session"""   )
def 		lowerCAmelCase_   (	):
				datasets.disable_progress_bar()




@pytest.fixture(autouse=lowerCamelCase   )
def 		lowerCAmelCase_   (	lowerCamelCase   ):
				# don't take tests into account when counting downloads
				monkeypatch.setattr("""datasets.config.HF_UPDATE_DOWNLOAD_COUNTS"""	,     lowerCamelCase   )




@pytest.fixture
def 		lowerCAmelCase_   (	lowerCamelCase   ):
				# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
				# To be removed once SQLAlchemy 2.0 supported
				monkeypatch.setattr("""sqlalchemy.util.deprecations.SILENCE_UBER_WARNING"""	,     lowerCamelCase   )




