# POWER

Calculate the power of two numeric arrays, vectors, matrices, or constants element-wise. Params: a : OrderedPair|Scalar|Vector The input a used to compute a to the power of b. b : OrderedPair|Scalar|Vector The input b used to compute a to the power of b. Returns: out : OrderedPair|Scalar|Vector OrderedPair if a is an OrderedPair. x: the x-axis of input a. y: the result of a^b (or a**b). Scalar if a is a Scalar. c: the result of a^b (or a**b). Vector if a is a Vector. v: the result of a^b (or a**b).
Python Code
import numpy as np
from flojoy import OrderedPair, flojoy, Scalar, Vector
from blocks.MATH.ARITHMETIC.utils.arithmetic_utils import get_val
from functools import reduce

@flojoy
def POWER(
a: OrderedPair | Scalar | Vector, b: list[OrderedPair | Scalar | Vector]
) -> OrderedPair | Scalar | Vector:
"""Calculate the power of two numeric arrays, vectors, matrices, or constants element-wise.

Parameters
----------
a : OrderedPair|Scalar|Vector
The input a used to compute a to the power of b.
b : OrderedPair|Scalar|Vector
The input b used to compute a to the power of b.

Returns
-------
OrderedPair|Scalar|Vector
OrderedPair if a is an OrderedPair.
x: the x-axis of input a.
y: the result of a^b (or a**b).

Scalar if a is a Scalar.
c: the result of a^b (or a**b).

Vector if a is a Vector.
v: the result of a^b (or a**b).
"""

initial = get_val(a)
seq = map(lambda dc: get_val(dc), b)
y = reduce(lambda u, v: np.power(u, v), seq, initial)

match a:
case OrderedPair():
return OrderedPair(x=a.x, y=y)
case Vector():
return Vector(v=y)
case Scalar():
return Scalar(c=y)


Find this Flojoy Block on GitHub

## Example App

This app shows how to use the LOG and POWER blocks.
• LOG
• POWER
• LINSPACE (set to range from 0 to 10 with a size of 1000)
• CONSTANT (set to a scalar of 3)
• 2x BIG_NUMBER