Source code for TidalPy.utilities.performance.special.factorial

""" Special math functions are defined here.
"""

from scipy import special
from numba import njit


[docs] @njit(cache=False) def find_factorial(number: float) -> float: """ Find's the factorial of a number based on SciPy's Gamma function. Notes ----- This uses the numba-scipy package to register overloads for scipy's special functions. This allows Numba to njit these functions, including gamma. Parameters ---------- number : float Number to be factorialized. Returns ------- factorial : float Factorial of 'number' """ return special.gamma(number + 1.)