




from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					str:
     return getitem, k

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase		, __UpperCamelCase)      ->					Optional[int]:
     return setitem, k, v

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					Optional[Any]:
     return delitem, k

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase		, __UpperCamelCase		, *__UpperCamelCase)      ->					Dict:

     try:
          return fun(__a		, *__a), None
     except Exception as e:
          return None, e


lowercase__				:      List[str]	   = (
    _set("key_a", "val_a"),
    _set("key_b", "val_b"),
)

lowercase__				:      str	   = [
    _set("key_a", "val_a"),
    _set("key_a", "val_b"),
]

lowercase__				:      str	   = [
    _set("key_a", "val_a"),
    _set("key_b", "val_b"),
    _del("key_a"),
    _del("key_b"),
    _set("key_a", "val_a"),
    _del("key_a"),
]

lowercase__				:      str	   = [
    _get("key_a"),
    _del("key_a"),
    _set("key_a", "val_a"),
    _del("key_a"),
    _del("key_a"),
    _get("key_a"),
]

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

lowercase__				:      Optional[Any]	   = [
    *[_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  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					int:
     a     =				HashMap(initial_block_size=4)
     a     =				{}
     for _, (fun, *args) in enumerate(__a):
          a     =				_run_operation(__a		, __a		, *__a)
          a     =				_run_operation(__a		, __a		, *__a)
          assert my_res == py_res
          assert str(__a) == str(__a)
          assert set(__a) == set(__a)
          assert len(__a) == len(__a)
          assert set(my.items()) == set(py.items())





def  SCREAMING_SNAKE_CASE							(       )      ->					Optional[Any]:

     def is_public(__UpperCamelCase) -> bool:
          return not name.startswith("_")

     a     =				{name for name in dir({}) if is_public(__a)}
     a     =				{name for name in dir(HashMap()) if is_public(__a)}

     assert dict_public_names > hash_public_names







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowercase__				:      Tuple	   = logging.get_logger(__name__)

lowercase__				:      int	   = {
    "microsoft/resnet-50": "https://huggingface.co/microsoft/resnet-50/blob/main/config.json",
}




class       a__	( UpperCamelCase__       , UpperCamelCase__				):
     a		:      Any		 =     """resnet"""
     a		:      Tuple		 =     ["""basic""", """bottleneck"""]







     def __init__(     self  ,		A=3  ,		A=64  ,		A=[256, 512, 1024, 2048]  ,		A=[3, 4, 6, 3]  ,		A="bottleneck"  ,		A="relu"  ,		A=False  ,		A=None  ,		A=None  ,		**A  ,		)  ->   Any:



          '''simple docstring'''



          super().__init__(**A			)
          if layer_type not in self.layer_types:
               raise ValueError(F'''layer_type={layer_type} is not one of {",".join(self.layer_types			)}'''			)
          a     =				num_channels
          a     =				embedding_size
          a     =				hidden_sizes
          a     =				depths
          a     =				layer_type
          a     =				hidden_act
          a     =				downsample_in_first_stage
          a     =				["stem"] + [F'''stage{idx}''' for idx in range(1  ,		len(A			) + 1			)]
          a  ,				a     =				get_aligned_output_features_output_indices(
              out_features=A  ,		out_indices=A  ,		stage_names=self.stage_names			)







class       a__	( UpperCamelCase__				):
     a		:      Optional[int]		 =     version.parse("""1.11"""				)







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



          '''simple docstring'''



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







     @property
     def       lowerCAmelCase_    (     self			)  ->   float:



          '''simple docstring'''



          return 1e-3

