






from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap


def 				snake_case__							(							UpperCAmelCase							:  Optional[Any]       ):
    return getitem, k


def 				snake_case__							(							UpperCAmelCase							:  Optional[Any]    ,			UpperCAmelCase							:  List[Any]       ):
    return setitem, k, v


def 				snake_case__							(							UpperCAmelCase							:  List[Any]       ):
    return delitem, k


def 				snake_case__							(							UpperCAmelCase							:  Optional[Any]    ,			UpperCAmelCase							:  Any    ,			*UpperCAmelCase							:  List[str]       ):
    try:
        return fun(UpperCAmelCase    ,			*UpperCAmelCase       ), None
    except Exception as e:
        return None, e


_a        =			(
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
)

_a        =			[
    _set("""key_a""", """val_a"""),
    _set("""key_a""", """val_b"""),
]

_a        =			[
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
    _del("""key_a"""),
    _del("""key_b"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
]

_a        =			[
    _get("""key_a"""),
    _del("""key_a"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
    _del("""key_a"""),
    _get("""key_a"""),
]

_a        =			[
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

_a        =			[
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set("""key_a""", """val_b"""),
]


@pytest.mark.parametrize(
    "operations"    ,			(
        pytest.param(_add_items    ,			id="add items"       ),
        pytest.param(_overwrite_items    ,			id="overwrite items"       ),
        pytest.param(_delete_items    ,			id="delete items"       ),
        pytest.param(_access_absent_items    ,			id="access absent items"       ),
        pytest.param(_add_with_resize_up    ,			id="add with resize up"       ),
        pytest.param(_add_with_resize_down    ,			id="add with resize down"       ),
    )    ,			)
def 				snake_case__							(							UpperCAmelCase							:  List[str]       ):
    lowerCAmelCase__   :List[str]      							=				HashMap(initial_block_size=4       )
    lowerCAmelCase__   :Tuple      							=				{}
    for _, (fun, *args) in enumerate(UpperCAmelCase       ):
        lowerCAmelCase__   :List[str]      							=				_run_operation(UpperCAmelCase    ,			UpperCAmelCase    ,			*UpperCAmelCase       )
        lowerCAmelCase__   :Tuple      							=				_run_operation(UpperCAmelCase    ,			UpperCAmelCase    ,			*UpperCAmelCase       )
        assert my_res == py_res
        assert str(UpperCAmelCase       ) == str(UpperCAmelCase       )
        assert set(UpperCAmelCase       ) == set(UpperCAmelCase       )
        assert len(UpperCAmelCase       ) == len(UpperCAmelCase       )
        assert set(my.items()       ) == set(py.items()       )


def 				snake_case__							(							):
    def is_public(UpperCAmelCase							:  str       ) -> bool:
        return not name.startswith("_"       )

    lowerCAmelCase__   :Any      							=				{name for name in dir({}       ) if is_public(UpperCAmelCase       )}
    lowerCAmelCase__   :int      							=				{name for name in dir(HashMap()       ) if is_public(UpperCAmelCase       )}

    assert dict_public_names > hash_public_names











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


_a    :   Dict        =			logging.get_logger(__name__)

_a    :   Optional[Any]        =			{
    """caidas/swin2sr-classicalsr-x2-64""": (
        """https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json"""
    ),
}







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      A          =    '''swin2sr'''

      A          =    {
          '''hidden_size''': '''embed_dim''',
          '''num_attention_heads''': '''num_heads''',
          '''num_hidden_layers''': '''num_layers''',
      }
      def __init__(   self    ,	_lowerCAmelCase=64    ,	_lowerCAmelCase=1    ,	_lowerCAmelCase=3    ,	_lowerCAmelCase=180    ,	_lowerCAmelCase=[6, 6, 6, 6, 6, 6]    ,	_lowerCAmelCase=[6, 6, 6, 6, 6, 6]    ,	_lowerCAmelCase=8    ,	_lowerCAmelCase=2.0    ,	_lowerCAmelCase=True    ,	_lowerCAmelCase=0.0    ,	_lowerCAmelCase=0.0    ,	_lowerCAmelCase=0.1    ,	_lowerCAmelCase="gelu"    ,	_lowerCAmelCase=False    ,	_lowerCAmelCase=0.02    ,	_lowerCAmelCase=1e-5    ,	_lowerCAmelCase=2    ,	_lowerCAmelCase=1.0    ,	_lowerCAmelCase="1conv"    ,	_lowerCAmelCase="pixelshuffle"    ,	**_lowerCAmelCase    ,	):



          '''simple docstring'''
          super().__init__(**_lowerCAmelCase		)

          lowerCAmelCase__   :Union[str, Any]      							=				image_size
          lowerCAmelCase__   :List[Any]      							=				patch_size
          lowerCAmelCase__   :Any      							=				num_channels
          lowerCAmelCase__   :Union[str, Any]      							=				embed_dim
          lowerCAmelCase__   :Optional[int]      							=				depths
          lowerCAmelCase__   :int      							=				len(_lowerCAmelCase		)
          lowerCAmelCase__   :List[str]      							=				num_heads
          lowerCAmelCase__   :str      							=				window_size
          lowerCAmelCase__   :List[str]      							=				mlp_ratio
          lowerCAmelCase__   :List[Any]      							=				qkv_bias
          lowerCAmelCase__   :Union[str, Any]      							=				hidden_dropout_prob
          lowerCAmelCase__   :Optional[int]      							=				attention_probs_dropout_prob
          lowerCAmelCase__   :Dict      							=				drop_path_rate
          lowerCAmelCase__   :Tuple      							=				hidden_act
          lowerCAmelCase__   :Dict      							=				use_absolute_embeddings
          lowerCAmelCase__   :Tuple      							=				layer_norm_eps
          lowerCAmelCase__   :Dict      							=				initializer_range
          lowerCAmelCase__   :Optional[int]      							=				upscale
          lowerCAmelCase__   :Optional[Any]      							=				img_range
          lowerCAmelCase__   :List[str]      							=				resi_connection
          lowerCAmelCase__   :Union[str, Any]      							=				upsampler



