flopscope.accounting.blackman_cost
flopscope.accounting.blackman_cost(n)[flopscope source]
Weighted FLOP cost of Blackman window generation.
Parameters
- n:int
Number of columns in the input matrix.
Returns
- :int
Weighted public cost estimate, floored to match runtime accounting.
Notes
This helper multiplies the analytical FLOP count by the active weight from flopscope._weights and then applies int(...) so public estimates match budget deductions.
numpy's blackman: 0.42 + 0.5*cos(pi*n/(M-1)) + 0.08*cos(2*pi*n/(M-1)) — exactly two cosine evals per element. Weight 1.0 (constant in flop_cost per composite-kernel tier policy).