TypingError: got an unexpected keyword argument 'ddof' using jit_filter_function on Windows about llc-tools HOT 1 CLOSED

Hey! Glad to hear it is useful! 😊 (Still — I haven't revisited this package anywhere near as much as I'd like to.)

Anyway, it seems you've hit a numba issue. Numba has support for many NumPy functions inside JITted functions, but if you look closely at this part of the error:

numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Failed in nopython mode pipeline (step: nopython frontend)
No implementation of function Function(<function nanstd at 0x000001BA5B414F70>) found for signature:
 
 >>> nanstd(array(float64, 1d, C), ddof=Literal[int](1))
 
There are 2 candidate implementations:
  - Of which 2 did not match due to:
  Overload in function 'np_nanstd': File: numba\np\arraymath.py: Line 1231.
    With argument(s): '(array(float64, 1d, C), ddof=int64)':
   Rejected as the implementation raised a specific error:
     TypingError: got an unexpected keyword argument 'ddof'
  raised from C:\Users\jbrown\AppData\Local\Programs\Python\Python38\lib\site-packages\numba\core\typing\templates.py:791

it's not expecting the ddof argument, and if you look at their NumPy support page:

https://numba.readthedocs.io/en/stable/reference/numpysupported.html#reductions

indeed it says that only the first argument of nanstd is supported.

You could raise an issue with numba, or you can code up your own nanstd (or nnzstd since you're apparently just looking to get rid of zeros?) and jit-compile it with Numba. Something like:

@numba.njit
def nnzstd(arr):
    nz = arr[arr != 0]
    n = len(nz)
    if n <= 1:
        return np.nan
    mu = np.mean(nz)
    var = np.sum((nz - mu) ** 2) / n - 1
    std = np.sqrt(var)
    return std

Since this is not an llc issue I'm going to close it, but please feel free to continue discussing this issue here if you have more questions!

from llc-tools.