ai-content-maker/.venv/Lib/site-packages/scipy/special/tests/test_exponential_integrals.py

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2024-05-03 04:18:51 +03:00
import pytest
import numpy as np
from numpy.testing import assert_allclose
import scipy.special as sc
class TestExp1:
def test_branch_cut(self):
assert np.isnan(sc.exp1(-1))
assert sc.exp1(complex(-1, 0)).imag == (
-sc.exp1(complex(-1, -0.0)).imag
)
assert_allclose(
sc.exp1(complex(-1, 0)),
sc.exp1(-1 + 1e-20j),
atol=0,
rtol=1e-15
)
assert_allclose(
sc.exp1(complex(-1, -0.0)),
sc.exp1(-1 - 1e-20j),
atol=0,
rtol=1e-15
)
def test_834(self):
# Regression test for #834
a = sc.exp1(-complex(19.9999990))
b = sc.exp1(-complex(19.9999991))
assert_allclose(a.imag, b.imag, atol=0, rtol=1e-15)
class TestScaledExp1:
@pytest.mark.parametrize('x, expected', [(0, 0), (np.inf, 1)])
def test_limits(self, x, expected):
y = sc._ufuncs._scaled_exp1(x)
assert y == expected
# The expected values were computed with mpmath, e.g.:
#
# from mpmath import mp
# mp.dps = 80
# x = 1e-25
# print(float(x*mp.exp(x)*np.expint(1, x)))
#
# prints 5.698741165994961e-24
#
# The method used to compute _scaled_exp1 changes at x=1
# and x=1250, so values at those inputs, and values just
# above and below them, are included in the test data.
@pytest.mark.parametrize('x, expected',
[(1e-25, 5.698741165994961e-24),
(0.1, 0.20146425447084518),
(0.9995, 0.5962509885831002),
(1.0, 0.5963473623231941),
(1.0005, 0.5964436833238044),
(2.5, 0.7588145912149602),
(10.0, 0.9156333393978808),
(100.0, 0.9901942286733019),
(500.0, 0.9980079523802055),
(1000.0, 0.9990019940238807),
(1249.5, 0.9992009578306811),
(1250.0, 0.9992012769377913),
(1250.25, 0.9992014363957858),
(2000.0, 0.9995004992514963),
(1e4, 0.9999000199940024),
(1e10, 0.9999999999),
(1e15, 0.999999999999999),
])
def test_scaled_exp1(self, x, expected):
y = sc._ufuncs._scaled_exp1(x)
assert_allclose(y, expected, rtol=2e-15)
class TestExpi:
@pytest.mark.parametrize('result', [
sc.expi(complex(-1, 0)),
sc.expi(complex(-1, -0.0)),
sc.expi(-1)
])
def test_branch_cut(self, result):
desired = -0.21938393439552027368 # Computed using Mpmath
assert_allclose(result, desired, atol=0, rtol=1e-14)
def test_near_branch_cut(self):
lim_from_above = sc.expi(-1 + 1e-20j)
lim_from_below = sc.expi(-1 - 1e-20j)
assert_allclose(
lim_from_above.real,
lim_from_below.real,
atol=0,
rtol=1e-15
)
assert_allclose(
lim_from_above.imag,
-lim_from_below.imag,
atol=0,
rtol=1e-15
)
def test_continuity_on_positive_real_axis(self):
assert_allclose(
sc.expi(complex(1, 0)),
sc.expi(complex(1, -0.0)),
atol=0,
rtol=1e-15
)
class TestExpn:
def test_out_of_domain(self):
assert all(np.isnan([sc.expn(-1, 1.0), sc.expn(1, -1.0)]))