def nsmallest(arr, n, keep='first'): """ Find the indices of the n smallest values of a numpy array. Note: Fails silently with NaN. """ if keep == 'last': arr = arr[::-1] narr = len(arr) n = min(n, narr) sdtype = str(arr.dtype) arr = arr.view(_dtype_map.get(sdtype, sdtype)) kth_val = algos.kth_smallest(arr.copy(), n - 1) return _finalize_nsmallest(arr, kth_val, n, keep, narr)
def parallel_kth_smallest(arr): algos.kth_smallest(arr, k)
def parallel_kth_smallest(arr): algos.kth_smallest(arr, k)
def run(arr): algos.kth_smallest(arr, self.k)