What is the correct way to call polynomial_evaluate?
I am trying to follow this code from Mojo 24.2 in Mojo 24.5: Newton-Raphson but I get the error:
Here's is a relevant snippet of the code:
invalid call to 'polynomial_evaluate': failed to infer parameter #0. Here's is a relevant snippet of the code:
from math.polynomial import polynomial_evaluate
from math import ulp
alias dtype = DType.float64
alias width = simdwidthofdtype
alias coeff = List[Scalar[dtype]](-6, 3, -2, 1)
alias deriv_coeff = List[Scalar[dtype]](3, -4, 3)
def f(x: Float64) -> Float64:
return polynomial_evaluatedtype, 1, coeff
This will be your example-driven guide to Mojo SDK 24.2, as part of the latest MAX release. If I had to pick a name for this release, I’d call it MAXimum
Mojo
Momentum 
because there is so much much good stuff in this release, particularly for Python developers, adopting Mojo.
Mojo Momentum because there is so much much good stuff in this release, particularly for Python developers, adopting Mojo.
