def test_spectrum_add_array():
s = Spectrum([1, 2, 3], [1, 1, 1])
r = s + [5, 6, 7]
assert np.array_equal(r.wave, s.wave)
assert np.array_equal(r.value, [6, 7, 8])
def test_spectrum_crop_outside_wave_limits():
s = Spectrum([1, 2, 3, 4, 5], [0.1, 1, 100, 1, 0.1])
s.crop(2, 10)
assert np.array_equal(s.wave, [2, 3, 4, 5])
assert np.array_equal(s.value, [1, 100, 1, 0.1])
def test_spectrum_add_spectrum():
s1 = Spectrum([1, 2, 3], [1, 1, 1])
s2 = Spectrum([1, 2, 3], [2, 3, 4])
r = s1 + s2
assert np.array_equal(r.wave, s1.wave)
assert np.array_equal(r.value, [3, 4, 5])
def test_spectrum_truediv_spectrum():
s1 = Spectrum([1, 2, 3], [4, 6, 8])
s2 = Spectrum([1, 2, 3], [2, 3, 4])
r = s1 / s2
assert np.array_equal(r.wave, s1.wave)
assert np.array_equal(r.value, [2, 2, 2])
def test_spectrum_sample():
s = Spectrum([1, 2, 3], [2, 3, 4])
r = s.sample([1.5, 2.5])
assert np.array_equal(r, [2.5, 3.5])
def test_spectrum_subtract_array():
s = Spectrum([1, 2, 3], [5, 6, 7])
r = s - [1, 1, 1]
assert np.array_equal(r.wave, s.wave)
assert np.array_equal(r.value, [4, 5, 6])
def test_spectrum_wave_value_shape_match():
wave = [1, 2, 3]
value = [4, 5, 6, 7]
with pytest.raises(ValueError):
s = Spectrum(wave, value)
def test_spectrum_integrate_no_bounds():
s = Spectrum([1, 2, 3, 4, 5], [2, 2, 2, 2, 2])
assert s.integrate() == 8.0
def test_spectrum_integrate_bounds():
s = Spectrum([1, 2, 3, 4, 5], [2, 2, 2, 2, 2])
assert s.integrate(2, 4) == 4.0
def test_spectrum_bin_preserve_power_true():
s = Spectrum([1, 2, 3, 4, 5], [2, 2, 2, 2, 2])
assert np.array_equal(s.bin([2, 3]), [0.5, 1.5])
def test_spectrum_bin_preserve_power_false():
s = Spectrum([1, 2, 3, 4, 5], [2, 2, 2, 2, 2])
assert np.array_equal(s.bin([2, 3], preserve_power=False), [1, 3])
def test_spectrum_add_scalar():
s = Spectrum([1, 2, 3], [1, 1, 1])
r = s + 5
assert np.array_equal(r.wave, s.wave)
assert np.array_equal(r.value, [6, 6, 6])
def test_spectrum_asarray():
s = Spectrum([1, 2, 3], [2, 3, 4])
r = s.asarray()
assert np.array_equal(r, np.array([[1, 2, 3], [2, 3, 4]]))
def test_spectrum_resample():
s = Spectrum([1, 2, 3], [2, 3, 4])
s.resample([1.5, 2.5])
assert np.array_equal(s.wave, [1.5, 2.5])
assert np.array_equal(s.value, [2.5, 3.5])
def test_spectrum_subtract_scalar():
s = Spectrum([1, 2, 3], [3, 3, 3])
r = s - 2
assert np.array_equal(r.wave, s.wave)
assert np.array_equal(r.value, [1, 1, 1])
def test_spectrum_ends():
s = Spectrum([1, 2, 3, 4, 5], [0.1, 1, 100, 1, 0.1])
assert np.array_equal(s.ends(tol=0.001), [1, 3])
def test_spectrum_subtract_spectrum():
s1 = Spectrum([1, 2, 3], [2, 3, 4])
s2 = Spectrum([1, 2, 3], [1, 1, 1])
r = s1 - s2
assert np.array_equal(r.wave, s1.wave)
assert np.array_equal(r.value, [1, 2, 3])
def test_spectrum_trim():
s = Spectrum([1, 2, 3, 4, 5], [0.1, 1, 100, 1, 0.1])
s.trim(tol=0.001)
assert np.array_equal(s.wave, [2, 3, 4])
assert np.array_equal(s.value, [1, 100, 1])
def test_spectrum_mul_scalar():
s = Spectrum([1, 2, 3], [1, 2, 3])
r = s * 5
assert np.array_equal(r.wave, s.wave)
assert np.array_equal(r.value, [5, 10, 15])
def test_spectrum_trim_value_all_zeros():
s = Spectrum([1, 2, 3, 4, 5], [0, 0, 0, 0, 0])
s.trim(tol=0.0001)
assert np.array_equal(s.wave, [1, 2, 3, 4, 5])
assert np.array_equal(s.value, [0, 0, 0, 0, 0])
def test_spectrum_truediv_scalar():
s = Spectrum([5, 10, 15], [5, 10, 15])
r = s / 5
assert np.array_equal(r.wave, s.wave)
assert np.array_equal(r.value, [1, 2, 3])
def test_spectrum_crop():
s = Spectrum([1, 2, 3, 4, 5], [0.1, 1, 100, 1, 0.1])
s.crop(2, 5)
assert np.array_equal(s.wave, [2, 3, 4, 5])
assert np.array_equal(s.value, [1, 100, 1, 0.1])
def test_spectrum_truediv_array():
s = Spectrum([1, 2, 3], [10, 12, 14])
r = s / [5, 6, 7]
assert np.array_equal(r.wave, s.wave)
assert np.array_equal(r.value, [2, 2, 2])
def test_spectrum_pow():
s = Spectrum([1, 2, 3], [2, 3, 4])
r = s**2
assert (np.array_equal(r.wave, s.wave))
assert (np.array_equal(r.value, s.value**2))
