peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/scipy
/special
/tests
/test_sici.py
import numpy as np | |
import scipy.special as sc | |
from scipy.special._testutils import FuncData | |
def test_sici_consistency(): | |
# Make sure the implementation of sici for real arguments agrees | |
# with the implementation of sici for complex arguments. | |
# On the negative real axis Cephes drops the imaginary part in ci | |
def sici(x): | |
si, ci = sc.sici(x + 0j) | |
return si.real, ci.real | |
x = np.r_[-np.logspace(8, -30, 200), 0, np.logspace(-30, 8, 200)] | |
si, ci = sc.sici(x) | |
dataset = np.column_stack((x, si, ci)) | |
FuncData(sici, dataset, 0, (1, 2), rtol=1e-12).check() | |
def test_shichi_consistency(): | |
# Make sure the implementation of shichi for real arguments agrees | |
# with the implementation of shichi for complex arguments. | |
# On the negative real axis Cephes drops the imaginary part in chi | |
def shichi(x): | |
shi, chi = sc.shichi(x + 0j) | |
return shi.real, chi.real | |
# Overflow happens quickly, so limit range | |
x = np.r_[-np.logspace(np.log10(700), -30, 200), 0, | |
np.logspace(-30, np.log10(700), 200)] | |
shi, chi = sc.shichi(x) | |
dataset = np.column_stack((x, shi, chi)) | |
FuncData(shichi, dataset, 0, (1, 2), rtol=1e-14).check() | |