
from .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


_A				 =			logging.get_logger(__name__)







class 					lowerCamelCase		:
     UpperCAmelCase__    :							List[Any]									=		42
     UpperCAmelCase__    :							Dict									=		None





     @staticmethod
     def 		UpperCAmelCase()						->						List[Any]:
         raise NotImplementedError





     def 		UpperCAmelCase(self				:   int    ,   _A				:   Tuple    ,   _A				:   Union[str, Any]    ,   _A				:   str    ,   **_A				:   List[str]       )						->						int:
         raise NotImplementedError





     def 		UpperCAmelCase(self				:   List[Any]    ,   _A				:   Optional[Any]       )						->						str:
         raise NotImplementedError





     def 		UpperCAmelCase(self				:   Optional[Any]       )						->						Optional[Any]:
         if not self.is_available():
             raise RuntimeError(
                 f'You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}.'       )





     @classmethod
     def 		UpperCAmelCase(cls				:   Tuple       )						->						Union[str, Any]:
         return f'`pip install {cls.pip_package or cls.name}`'







class 					lowerCamelCase		(  __lowercase  ):
     UpperCAmelCase__    :							Tuple									=		"optuna"





     @staticmethod
     def 		UpperCAmelCase()						->						Union[str, Any]:
         return is_optuna_available()





     def 		UpperCAmelCase(self				:   Optional[int]    ,   _A				:   Tuple    ,   _A				:   Any    ,   _A				:   List[Any]    ,   **_A				:   str       )						->						Any:
         return run_hp_search_optuna(_a    ,   _a    ,   _a    ,   **_a       )





     def 		UpperCAmelCase(self				:   Tuple    ,   _A				:   List[str]       )						->						int:
         return default_hp_space_optuna(_a       )







class 					lowerCamelCase		(  __lowercase  ):
     UpperCAmelCase__    :							Any									=		"ray"
     UpperCAmelCase__    :							Optional[Any]									=		"\'ray[tune]\'"





     @staticmethod
     def 		UpperCAmelCase()						->						str:
         return is_ray_available()





     def 		UpperCAmelCase(self				:   List[Any]    ,   _A				:   List[Any]    ,   _A				:   List[str]    ,   _A				:   Optional[Any]    ,   **_A				:   Optional[Any]       )						->						Any:
         return run_hp_search_ray(_a    ,   _a    ,   _a    ,   **_a       )





     def 		UpperCAmelCase(self				:   Tuple    ,   _A				:   Dict       )						->						Dict:
         return default_hp_space_ray(_a       )







class 					lowerCamelCase		(  __lowercase  ):
     UpperCAmelCase__    :							int									=		"sigopt"





     @staticmethod
     def 		UpperCAmelCase()						->						Union[str, Any]:
         return is_sigopt_available()





     def 		UpperCAmelCase(self				:   Union[str, Any]    ,   _A				:   List[Any]    ,   _A				:   Tuple    ,   _A				:   Tuple    ,   **_A				:   Optional[int]       )						->						str:
         return run_hp_search_sigopt(_a    ,   _a    ,   _a    ,   **_a       )





     def 		UpperCAmelCase(self				:   str    ,   _A				:   Dict       )						->						str:
         return default_hp_space_sigopt(_a       )







class 					lowerCamelCase		(  __lowercase  ):
     UpperCAmelCase__    :							Tuple									=		"wandb"





     @staticmethod
     def 		UpperCAmelCase()						->						Dict:
         return is_wandb_available()





     def 		UpperCAmelCase(self				:   Union[str, Any]    ,   _A				:   Tuple    ,   _A				:   Tuple    ,   _A				:   Any    ,   **_A				:   Optional[Any]       )						->						Union[str, Any]:
         return run_hp_search_wandb(_a    ,   _a    ,   _a    ,   **_a       )





     def 		UpperCAmelCase(self				:   Optional[int]    ,   _A				:   Any       )						->						Union[str, Any]:
         return default_hp_space_wandb(_a       )


_A				 =			{
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}



def 						lowercase_      (       )							->							Union[str, Any]:
    """simple docstring"""

    snake_case								= [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
    if len(__a		) > 0:
        snake_case								= available_backends[0].name
        if len(__a		) > 1:
            logger.info(
                F'{len(__a		)} hyperparameter search backends available. Using {name} as the default.'		)
        return name
    raise RuntimeError(
        "No hyperparameter search backend available.\n"
        + "\n".join(
            F' - To install {backend.name} run {backend.pip_install()}'
            for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()		)		)



from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap



def 						lowercase_      (       A__		)							->							str:
    """simple docstring"""

    return getitem, k



def 						lowercase_      (       A__			,		A__		)							->							str:
    """simple docstring"""

    return setitem, k, v



def 						lowercase_      (       A__		)							->							List[Any]:
    """simple docstring"""

    return delitem, k



def 						lowercase_      (       A__			,		A__			,		*A__		)							->							str:
    """simple docstring"""

    try:
        return fun(A__			,		*A__		), 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 						lowercase_      (       A__		)							->							List[Any]:
    """simple docstring"""

    snake_case								= HashMap(initial_block_size=4		)
    snake_case								= {}
    for _, (fun, *args) in enumerate(A__		):
        snake_case					,							snake_case								= _run_operation(A__			,		A__			,		*A__		)
        snake_case					,							snake_case								= _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 						lowercase_      (       )							->							Optional[int]:
    """simple docstring"""

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

    snake_case								= {name for name in dir({}		) if is_public(A__		)}
    snake_case								= {name for name in dir(HashMap()		) if is_public(A__		)}

    assert dict_public_names > hash_public_names

