





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


_lowerCamelCase			       =      logging.get_logger(__name__)

_lowerCamelCase			       =      {
    'vinvino02/glpn-kitti': 'https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}







class 			__A       (      __SCREAMING_SNAKE_CASE  ):




      """simple docstring"""







      UpperCAmelCase__						=      'glpn'


      def __init__(		self      ,							a__=3      ,							a__=4      ,							a__=[2, 2, 2, 2]      ,							a__=[8, 4, 2, 1]      ,							a__=[32, 64, 160, 256]      ,							a__=[7, 3, 3, 3]      ,							a__=[4, 2, 2, 2]      ,							a__=[1, 2, 5, 8]      ,							a__=[4, 4, 4, 4]      ,							a__="gelu"      ,							a__=0.0      ,							a__=0.0      ,							a__=0.02      ,							a__=0.1      ,							a__=1e-6      ,							a__=64      ,							a__=10      ,							a__=-1      ,							**a__      ,							):



             """simple docstring"""





             super().__init__(**_a)

             _lowerCamelCase							:     int	=		num_channels
             _lowerCamelCase							:     Dict	=		num_encoder_blocks
             _lowerCamelCase							:     Optional[int]	=		depths
             _lowerCamelCase							:     int	=		sr_ratios
             _lowerCamelCase							:     Union[str, Any]	=		hidden_sizes
             _lowerCamelCase							:     Optional[Any]	=		patch_sizes
             _lowerCamelCase							:     List[Any]	=		strides
             _lowerCamelCase							:     Any	=		mlp_ratios
             _lowerCamelCase							:     str	=		num_attention_heads
             _lowerCamelCase							:     Union[str, Any]	=		hidden_act
             _lowerCamelCase							:     Dict	=		hidden_dropout_prob
             _lowerCamelCase							:     List[str]	=		attention_probs_dropout_prob
             _lowerCamelCase							:     str	=		initializer_range
             _lowerCamelCase							:     List[str]	=		drop_path_rate
             _lowerCamelCase							:     Union[str, Any]	=		layer_norm_eps
             _lowerCamelCase							:     Dict	=		decoder_hidden_size
             _lowerCamelCase							:     List[Any]	=		max_depth
             _lowerCamelCase							:     str	=		head_in_index










import pytest

import datasets


# Import fixture modules as plugins
_lowerCamelCase			       =      ['tests.fixtures.files', 'tests.fixtures.hub', 'tests.fixtures.fsspec']




def    __UpperCAmelCase(      lowercase_ ,    lowercase_      ):
       # 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    __UpperCAmelCase(      lowercase_      ):
       config.addinivalue_line('''markers''' ,    '''torchaudio_latest: mark test to run with torchaudio>=0.12'''      )




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




@pytest.fixture(autouse=lowercase_ ,    scope='''session'''      )
def    __UpperCAmelCase(      ):
       datasets.disable_progress_bar()




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




@pytest.fixture
def    __UpperCAmelCase(      lowercase_      ):
       # 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''' ,    lowercase_      )

