"""simple docstring"""





import math

import flax.linen as nn
import jax.numpy as jnp





def 				a_     (      _lowerCAmelCase  : jnp.ndarray   , _lowerCAmelCase  : int   , _lowerCAmelCase  : float = 1   , _lowerCAmelCase  : float = 1   , _lowerCAmelCase  : float = 1.0E4   , _lowerCAmelCase  : bool = False   , _lowerCAmelCase  : float = 1.0   , ):





       '''simple docstring'''

       assert timesteps.ndim == 1, "Timesteps should be a 1d-array"
       assert embedding_dim % 2 == 0, f"""Embedding dimension {embedding_dim} should be even"""
       lowercase__			:		Optional[Any]       =	float(embedding_dim // 2     )
       lowercase__			:		Optional[Any]       =	math.log(max_timescale / min_timescale     ) / (num_timescales - freq_shift)
       lowercase__			:		Any       =	min_timescale * jnp.exp(jnp.arange(_lowerCAmelCase   , dtype=jnp.floataa     ) * -log_timescale_increment     )
       lowercase__			:		Dict       =	jnp.expand_dims(_lowerCAmelCase   , 1     ) * jnp.expand_dims(_lowerCAmelCase   , 0     )

       # scale embeddings
       lowercase__			:		List[str]       =	scale * emb

       if flip_sin_to_cos:
              lowercase__			:		Dict       =	jnp.concatenate([jnp.cos(_lowerCAmelCase     ), jnp.sin(_lowerCAmelCase     )]   , axis=1     )
       else:
              lowercase__			:		Optional[int]       =	jnp.concatenate([jnp.sin(_lowerCAmelCase     ), jnp.cos(_lowerCAmelCase     )]   , axis=1     )
       lowercase__			:		List[Any]       =	jnp.reshape(_lowerCAmelCase   , [jnp.shape(_lowerCAmelCase     )[0], embedding_dim]     )
       return signal


class      UpperCAmelCase_	(    nn.Module):
      lowerCamelCase__		:    int   =  3_2
      lowerCamelCase__		:    jnp.dtype   =  jnp.floataa


      @nn.compact
      def __call__(   self		,			a							)       ->					Any:
             lowercase__			:		str       =	nn.Dense(self.time_embed_dim		,			dtype=self.dtype		,			name='linear_1'							)(a							)
             lowercase__			:		Union[str, Any]       =	nn.silu(a							)
             lowercase__			:		Optional[Any]       =	nn.Dense(self.time_embed_dim		,			dtype=self.dtype		,			name='linear_2'							)(a							)
             return temb





class      UpperCAmelCase_	(    nn.Module):
      lowerCamelCase__		:    int   =  3_2
      lowerCamelCase__		:    bool   =  False
      lowerCamelCase__		:    float   =  1


      @nn.compact
      def __call__(   self		,			a							)       ->					str:
             return get_sinusoidal_embeddings(
                 a		,			embedding_dim=self.dim		,			flip_sin_to_cos=self.flip_sin_to_cos		,			freq_shift=self.freq_shift							)






'''simple docstring'''




from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap



def       __lowerCamelCase  (					_lowercase		)      ->			Optional[Any]:
							return getitem, k



def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			List[str]:
							return setitem, k, v



def       __lowerCamelCase  (					_lowercase		)      ->			int:
							return delitem, k



def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				*_lowercase		)      ->			Optional[Any]:
							try:
														return fun(_lowercase	,				*_lowercase		), None
							except Exception as e:
														return None, e


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

a   :			List[Any]					  =    [
    _set("""key_a""", """val_a"""),
    _set("""key_a""", """val_b"""),
]

a   :			int					  =    [
    _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   :			List[Any]					  =    [
    _get("""key_a"""),
    _del("""key_a"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
    _del("""key_a"""),
    _get("""key_a"""),
]

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

a   :			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       __lowerCamelCase  (					_lowercase		)      ->			Optional[int]:
							UpperCAmelCase     :		List[str]							     =		HashMap(initial_block_size=4		)
							UpperCAmelCase     :		Dict							     =		{}
							for _, (fun, *args) in enumerate(_lowercase		):
														UpperCAmelCase     ,     UpperCAmelCase     :		Union[str, Any]							     =		_run_operation(_lowercase	,				_lowercase	,				*_lowercase		)
														UpperCAmelCase     ,     UpperCAmelCase     :		Any							     =		_run_operation(_lowercase	,				_lowercase	,				*_lowercase		)
														assert my_res == py_res
														assert str(_lowercase		) == str(_lowercase		)
														assert set(_lowercase		) == set(_lowercase		)
														assert len(_lowercase		) == len(_lowercase		)
														assert set(my.items()		) == set(py.items()		)



def       __lowerCamelCase  (					)      ->			List[Any]:
							def is_public(_lowercase		) -> bool:
														return not name.startswith("""_"""		)

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

							assert dict_public_names > hash_public_names

