rjenc29

@register_jitable
def np_interp_impl_inner(x, xp, fp, dtype, non_finite_per_116):
    # non_finite_per_116 -> if False, replicate the bug
    # which existed in all versions to 1.16; if True,
    # replicate numpy 1.16+ behaviour

    x_arr = np.asarray(x)
    xp_arr = np.asarray(xp)
    fp_arr = np.asarray(fp)

rjenc29

@register_jitable
def np_interp_impl_inner(x, xp, fp, dtype):
    x_arr = np.asarray(x)
    xp_arr = np.asarray(xp)
    fp_arr = np.asarray(fp)

    if len(xp_arr) == 0:
        raise ValueError('array of sample points is empty')

    if len(xp_arr) != len(fp_arr):

rjenc29

from __future__ import print_function
import sys
import timeit
import numpy as np
from numba import njit

np.random.seed(0)
ndata=20000

# data to ne interpolated

rjenc29

import numpy as np
import pandas as pd
from numba import njit
import time


@njit
def ewma_version_1(x, halflife):
    decay_coefficient = np.exp(np.log(0.5) / halflife)
    out = np.empty_like(x, dtype=np.float64)