empty_like

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empty_like#

class brainunit.math.empty_like(prototype, dtype=None, shape=None, unit=Unit('1'))#

Return a new uninitialized quantity or array with the same shape and type as a given array.

Parameters:

  • prototype (saiunit.Quantity | Array | ndarray | bool | number | bool | int | float | complex) – The shape and data-type of prototype define these same attributes of the returned array.

  • dtype (str | type[Any] | dtype | SupportsDType | None) – Overrides the data type of the result.

  • shape (int | Sequence[int]) – Overrides the shape of the result. If not given, prototype.shape is used.

  • unit (saiunit.Unit) – Unit of the returned Quantity.

Returns:

out – Array of uninitialized (arbitrary) data with the same shape and type as prototype.

Return type:

saiunit.Quantity | Array

Examples

>>> import saiunit as u
>>> import jax.numpy as jnp
>>> result = u.math.empty_like(jnp.array([1.0, 2.0, 3.0]))
>>> result.shape
(3,)
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