Source: pymeeus
Version: 0.5.11+dfsg1-1
Severity: serious
Justification: FTBFS
Tags: trixie sid ftbfs
User: [email protected]
Usertags: ftbfs-20240319 ftbfs-trixie
Hi,
During a rebuild of all packages in sid, your package failed to build
on amd64.
Relevant part (hopefully):
> debian/rules binary
> dh binary --with python3 --buildsystem=pybuild
> dh_update_autotools_config -O--buildsystem=pybuild
> dh_autoreconf -O--buildsystem=pybuild
> dh_auto_configure -O--buildsystem=pybuild
> I: pybuild base:305: python3.12 setup.py config
> running config
> I: pybuild base:305: python3.11 setup.py config
> running config
> dh_auto_build -O--buildsystem=pybuild
> I: pybuild base:305: /usr/bin/python3.12 setup.py build
> running build
> running build_py
> file base.py (for module base) not found
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Coordinates.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Minor.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Epoch.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/CurveFitting.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/JupiterMoons.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Venus.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Saturn.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Pluto.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Moon.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Sun.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Mars.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Neptune.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Earth.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Mercury.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Uranus.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Jupiter.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Angle.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> copying pymeeus/Interpolation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus
> file base.py (for module base) not found
> I: pybuild base:305: /usr/bin/python3 setup.py build
> running build
> running build_py
> file base.py (for module base) not found
> creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Coordinates.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Minor.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Epoch.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/CurveFitting.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/JupiterMoons.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Venus.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Saturn.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Pluto.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Moon.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Sun.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Mars.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Neptune.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Earth.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Mercury.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Uranus.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Jupiter.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Angle.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> copying pymeeus/Interpolation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build/pymeeus
> file base.py (for module base) not found
> dh_auto_test -O--buildsystem=pybuild
> I: pybuild base:305: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build; python3.12 -m pytest
> tests
> ============================= test session starts
> ==============================
> platform linux -- Python 3.12.2, pytest-8.1.1, pluggy-1.4.0
> rootdir: /<<PKGBUILDDIR>>
> plugins: cov-4.1.0
> collected 251 items
>
> tests/test_angle.py ........................................ [
> 15%]
> tests/test_coordinates.py ....................................... [
> 31%]
> tests/test_curvefitting.py .FFFF [
> 33%]
> tests/test_earth.py ................ [
> 39%]
> tests/test_epoch.py ................................. [
> 52%]
> tests/test_interpolation.py .FFF. [
> 54%]
> tests/test_jupiter.py .......... [
> 58%]
> tests/test_jupiterMoons.py ......... [
> 62%]
> tests/test_mars.py .......... [
> 66%]
> tests/test_mercury.py ............ [
> 71%]
> tests/test_minor.py .. [
> 72%]
> tests/test_moon.py .............. [
> 77%]
> tests/test_neptune.py ...... [
> 80%]
> tests/test_pluto.py .. [
> 80%]
> tests/test_saturn.py .............. [
> 86%]
> tests/test_sun.py ............ [
> 91%]
> tests/test_uranus.py ........ [
> 94%]
> tests/test_venus.py ..............
> [100%]
>
> =================================== FAILURES
> ===================================
> _____________________ test_curvefitting_correlation_coeff
> ______________________
>
> def test_curvefitting_correlation_coeff():
> """Tests the correlation_coeff() method of CurveFitting class"""
>
> > r = cf1.correlation_coeff()
>
> tests/test_curvefitting.py:95:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = CurveFitting([], [])
>
> def correlation_coeff(self):
> """This method returns the coefficient of correlation, as a float.
>
> :returns: Coefficient of correlation.
> :rtype: float
>
> >>> cf = CurveFitting([73.0, 38.0, 35.0, 42.0, 78.0, 68.0, 74.0, 42.0,
> ... 52.0, 54.0, 39.0, 61.0, 42.0, 49.0, 50.0, 62.0,
> ... 44.0, 39.0, 43.0, 54.0, 44.0, 37.0],
> ... [90.4, 125.3, 161.8, 143.4, 52.5, 50.8, 71.5,
> ... 152.8, 131.3, 98.5, 144.8, 78.1, 89.5, 63.9,
> ... 112.1, 82.0, 119.8, 161.2, 208.4, 111.6, 167.1,
> ... 162.1])
> >>> r = cf.correlation_coeff()
> >>> print(round(r, 3))
> -0.767
> """
>
> > n = self._N
> E AttributeError: 'CurveFitting' object has no attribute '_N'
>
> pymeeus/CurveFitting.py:324: AttributeError
> _______________________ test_curvefitting_linear_fitting
> _______________________
>
> def test_curvefitting_linear_fitting():
> """Tests the linear_fitting() method of CurveFitting class"""
>
> > a, b = cf1.linear_fitting()
>
> tests/test_curvefitting.py:103:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = CurveFitting([], [])
>
> def linear_fitting(self):
> """This method returns a tuple with the 'a', 'b' coefficients of the
> linear equation *'y = a*x + b'* that best fits the table data, using
> the least squares approach.
>
> :returns: 'a', 'b' coefficients of best linear equation fit.
> :rtype: tuple
> :raises: ZeroDivisionError if input data leads to a division by zero
>
> >>> cf = CurveFitting([73.0, 38.0, 35.0, 42.0, 78.0, 68.0, 74.0, 42.0,
> ... 52.0, 54.0, 39.0, 61.0, 42.0, 49.0, 50.0, 62.0,
> ... 44.0, 39.0, 43.0, 54.0, 44.0, 37.0],
> ... [90.4, 125.3, 161.8, 143.4, 52.5, 50.8, 71.5,
> ... 152.8, 131.3, 98.5, 144.8, 78.1, 89.5, 63.9,
> ... 112.1, 82.0, 119.8, 161.2, 208.4, 111.6, 167.1,
> ... 162.1])
> >>> a, b = cf.linear_fitting()
> >>> print("a = {}\tb = {}".format(round(a, 2), round(b, 2)))
> a = -2.49 b = 244.18
> """
>
> > n = self._N
> E AttributeError: 'CurveFitting' object has no attribute '_N'
>
> pymeeus/CurveFitting.py:354: AttributeError
> _____________________ test_curvefitting_quadratic_fitting
> ______________________
>
> def test_curvefitting_quadratic_fitting():
> """Tests the quadratic_fitting() method of CurveFitting class"""
>
> > a, b, c = cf3.quadratic_fitting()
>
> tests/test_curvefitting.py:121:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = CurveFitting([], [])
>
> def quadratic_fitting(self):
> """This method returns a tuple with the 'a', 'b', 'c' coefficients of
> the quadratic equation *'y = a*x*x + b*x + c'* that best fits the
> table
> data, using the least squares approach.
>
> :returns: 'a', 'b', 'c' coefficients of best quadratic equation fit.
> :rtype: tuple
> :raises: ZeroDivisionError if input data leads to a division by zero
>
> >>> cf2 = CurveFitting([-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5,
> ... 2.0, 2.5,3.0],
> ... [-9.372, -3.821, 0.291, 3.730, 5.822, 8.324,
> ... 9.083, 6.957, 7.006, 0.365, -1.722])
> >>> a, b, c = cf2.quadratic_fitting()
> >>> print("a = {}; b = {}; c = {}".format(round(a, 2), round(b, 2),
> ... round(c, 2)))
> a = -2.22; b = 3.76; c = 6.64
> """
>
> > n = self._N
> E AttributeError: 'CurveFitting' object has no attribute '_N'
>
> pymeeus/CurveFitting.py:387: AttributeError
> ______________________ test_curvefitting_general_fitting
> _______________________
>
> def test_curvefitting_general_fitting():
> """Tests the general_fitting() method of CurveFitting class"""
>
> # Let's define the three functions to be used for fitting
> def sin1(x):
> return sin(radians(x))
>
> def sin2(x):
> return sin(radians(2.0*x))
>
> def sin3(x):
> return sin(radians(3.0*x))
>
> > a, b, c = cf4.general_fitting(sin1, sin2, sin3)
>
> tests/test_curvefitting.py:145:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = CurveFitting([], [])
> f0 = <function test_curvefitting_general_fitting.<locals>.sin1 at
> 0x7efe673567a0>
> f1 = <function test_curvefitting_general_fitting.<locals>.sin2 at
> 0x7efe67356700>
> f2 = <function test_curvefitting_general_fitting.<locals>.sin3 at
> 0x7efe67355bc0>
>
> def general_fitting(self, f0, f1=lambda *args: 0.0, f2=lambda *args: 0.0):
> """This method returns a tuple with the 'a', 'b', 'c' coefficients of
> the general equation *'y = a*f0(x) + b*f1(x) + c*f2(x)'* that best
> fits
> the table data, using the least squares approach.
>
> :param f0, f1, f2: Functions used to build the general equation.
> :type f0, f1, f2: function
> :returns: 'a', 'b', 'c' coefficients of best general equation fit.
> :rtype: tuple
> :raises: ZeroDivisionError if input functions are null or input data
> leads to a division by zero
>
> >>> cf4 = CurveFitting([3, 20, 34, 50, 75, 88, 111, 129, 143, 160,
> 183,
> ... 200, 218, 230, 248, 269, 290, 303, 320, 344],
> ... [0.0433, 0.2532, 0.3386, 0.3560, 0.4983,
> 0.7577,
> ... 1.4585, 1.8628, 1.8264, 1.2431, -0.2043,
> ... -1.2431, -1.8422, -1.8726, -1.4889, -0.8372,
> ... -0.4377, -0.3640, -0.3508, -0.2126])
> >>> def sin1(x): return sin(radians(x))
> >>> def sin2(x): return sin(radians(2.0*x))
> >>> def sin3(x): return sin(radians(3.0*x))
> >>> a, b, c = cf4.general_fitting(sin1, sin2, sin3)
> >>> print("a = {}; b = {}; c = {}".format(round(a, 2), round(b, 2),
> ... round(c, 2)))
> a = 1.2; b = -0.77; c = 0.39
>
> >>> cf5 = CurveFitting([0, 1.2, 1.4, 1.7, 2.1, 2.2])
> >>> a, b, c = cf5.general_fitting(sqrt)
> >>> print("a = {}; b = {}; c = {}".format(round(a, 3), round(b, 3),
> ... round(c, 3)))
> a = 1.016; b = 0.0; c = 0.0
> """
>
> m = 0
> p = 0
> q = 0
> r = 0
> s = 0
> t = 0
> u = 0
> v = 0
> w = 0
> xl = list(self._x)
> yl = list(self._y)
> for i, value in enumerate(xl):
> x = value
> y = yl[i]
> m += f0(x) * f0(x)
> p += f0(x) * f1(x)
> q += f0(x) * f2(x)
> r += f1(x) * f1(x)
> s += f1(x) * f2(x)
> t += f2(x) * f2(x)
> u += y * f0(x)
> v += y * f1(x)
> w += y * f2(x)
>
> if abs(r) < TOL and abs(t) < TOL and abs(m) >= TOL:
> return (u / m, 0.0, 0.0)
>
> if abs(m * r * t) < TOL:
> > raise ZeroDivisionError("Invalid input functions: They are null")
> E ZeroDivisionError: Invalid input functions: They are null
>
> pymeeus/CurveFitting.py:470: ZeroDivisionError
> ___________________________ test_interpolation_call
> ____________________________
>
> def test_interpolation_call():
> """Tests the __call__() method of Interpolation class"""
>
> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
>
> assert abs(m(-0.8) - (-0.52)) < TOL, \
> "ERROR: In 1st __call__() test, output value doesn't match"
>
> assert abs(m(0.7) - 2.93) < TOL, \
> "ERROR: In 2nd __call__() test, output value doesn't match"
>
> assert abs(m(-1.0) - (-2.0)) < TOL, \
> "ERROR: In 3rd __call__() test, output value doesn't match"
>
> m = Interpolation([-3.0, 0.0, 2.5], [12.0, -3.0, -1.75])
>
> assert abs(m(-2.0) - 5.0) < TOL, \
> "ERROR: In 4th __call__() test, output value doesn't match"
>
> assert abs(m(2.5) - (-1.75)) < TOL, \
> "ERROR: In 5th __call__() test, output value doesn't match"
>
> # This interpolation test uses Right Ascension
> > a = Angle(i_ra(11.0))
>
> tests/test_interpolation.py:121:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = Interpolation([], []), x = 11.0
>
> def __call__(self, x):
> """Method to interpolate the function at a given 'x'.
>
> :param x: Point where the interpolation will be carried out.
> :type x: int, float, :py:class:`Angle`
>
> :returns: Resulting value of the interpolation.
> :rtype: float
> :raises: ValueError if input value is outside of interpolation range.
> :raises: TypeError if input value is of wrong type.
>
> >>> i = Interpolation([7, 8, 9], [0.884226, 0.877366, 0.870531])
> >>> y = round(i(8.18125), 6)
> >>> print(y)
> 0.876125
> """
>
> # Check if input value is of correct type
> if isinstance(x, (int, float, Angle)):
> # Check if 'x' already belongs to the data table
> for i in range(len(self._x)):
> if abs(x - self._x[i]) < self._tol:
> return self._y[i] # We don't need to look further
> # Check if Newton coefficients table is not empty
> if len(self._table) == 0:
> > raise RuntimeError("Internal table is empty. Use set().")
> E RuntimeError: Internal table is empty. Use set().
>
> pymeeus/Interpolation.py:407: RuntimeError
> ________________________ test_interpolation_derivative
> _________________________
>
> def test_interpolation_derivative():
> """Tests the derivative() method of Interpolation class"""
>
> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
>
> assert abs(m.derivative(-1.0) - 8.0) < TOL, \
> "ERROR: In 1st derivative() test, output value doesn't match"
>
> assert abs(m.derivative(0.0) - 2.0) < TOL, \
> "ERROR: In 2nd derivative() test, output value doesn't match"
>
> assert abs(m.derivative(0.5) - (-1.0)) < TOL, \
> "ERROR: In 3rd derivative() test, output value doesn't match"
>
> m = Interpolation([-3.0, 0.0, 2.5], [12.0, -3.0, -1.75])
>
> assert abs(m.derivative(-3.0) - (-8.0)) < TOL, \
> "ERROR: In 4th derivative() test, output value doesn't match"
>
> assert abs(m.derivative(0.0) - (-2.0)) < TOL, \
> "ERROR: In 5th derivative() test, output value doesn't match"
>
> assert abs(m.derivative(2.5) - 3.0) < TOL, \
> "ERROR: In 6th derivative() test, output value doesn't match"
>
> # Do test with an interpolation object with 6 table entries, based on
> sine
> # We need to adjust the result because degrees were used instead of
> radians
> > res = degrees(i_sine.derivative(30.0))
>
> tests/test_interpolation.py:161:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = Interpolation([], []), x = 30.0
>
> def derivative(self, x):
> """Method to compute the derivative from interpolation polynomial.
>
> :param x: Point where the interpolation derivative will be carried
> out.
> :type x: int, float, :py:class:`Angle`
>
> :returns: Resulting value of the interpolation derivative.
> :rtype: float
> :raises: ValueError if input value is outside of interpolation range.
> :raises: TypeError if input value is of wrong type.
>
> >>> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
> >>> m.derivative(-1.0)
> 8.0
> >>> m.derivative(0.5)
> -1.0
> """
>
> # Check if input value is of correct type
> if isinstance(x, (int, float, Angle)):
> # Check that x is within interpolation table values
> > if x < self._x[0] or x > self._x[-1]:
> E IndexError: list index out of range
>
> pymeeus/Interpolation.py:441: IndexError
> ___________________________ test_interpolation_root
> ____________________________
>
> def test_interpolation_root():
> """Tests the root() method of Interpolation class"""
>
> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
>
> assert abs(m.root() - (-0.7207592200561265)) < TOL, \
> "ERROR: In 1st root() test, output value doesn't match"
>
> m = Interpolation([-3.0, 0.0, 2.5], [12.0, -3.0, -1.75])
>
> assert abs(m.root(-2.0, 0.0) - (-1.0)) < TOL, \
> "ERROR: In 2nd root() test, output value doesn't match"
>
> assert abs(m.root() - (-1.0)) < TOL, \
> "ERROR: In 3rd root() test, output value doesn't match"
>
> m = Interpolation([-3.0, 0.0, 2.5, 3.5], [12.0, -3.0, -1.75, 2.25])
>
> assert abs(m.root(0.0, 3.15) - 3.0) < TOL, \
> "ERROR: In 4th root() test, output value doesn't match"
>
> # Let's do some tests with Angles
> > assert abs(i_angles1.root() - 26.798732705) < TOL, \
> "ERROR: In 5th root() test, output value doesn't match"
>
> tests/test_interpolation.py:188:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = Interpolation([], []), xl = 0, xh = 0, max_iter = 1000
>
> def root(self, xl=0, xh=0, max_iter=1000):
> """Method to find the root inside the [xl, xh] range.
>
> This method applies, in principle, the Newton method to find the root;
> however, if conditions are such that Newton method may not bei
> properly
> behaving or converging, then it switches to the linear Interpolation
> method.
>
> If values xl, xh are not given, the limits of the interpolation table
> values will be used.
>
> .. note:: This method returns a ValueError exception if the
> corresponding yl = f(xl) and yh = f(xh) values have the same sign.
> In that case, the method assumes there is no root in the [xl, xh]
> interval.
>
> .. note:: If any of the xl, xh values is beyond the limits given by
> the
> interpolation values, its value will be set to the corresponding
> limit.
>
> .. note:: If xl == xh (and not zero), a ValueError exception is
> raised.
>
> .. note:: If the method doesn't converge within max_iter ierations,
> then a ValueError exception is raised.
>
> :param xl: Lower limit of interval where the root will be looked for.
> :type xl: int, float, :py:class:`Angle`
> :param xh: Higher limit of interval where the root will be looked for.
> :type xh: int, float, :py:class:`Angle`
> :param max_iter: Maximum number of iterations allowed.
> :type max_iter: int
>
> :returns: Root of the interpolated function within [xl, xh] interval.
> :rtype: int, float, :py:class:`Angle`
> :raises: ValueError if yl = f(xl), yh = f(xh) have same sign.
> :raises: ValueError if xl == xh.
> :raises: ValueError if maximum number of iterations is exceeded.
> :raises: TypeError if input value is of wrong type.
>
> >>> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
> >>> round(m.root(), 8)
> -0.72075922
> """
>
> # Get the limits of the interpolation table
> > xmin = self._x[0]
> E IndexError: list index out of range
>
> pymeeus/Interpolation.py:506: IndexError
> =============================== warnings summary
> ===============================
> .pybuild/cpython3_3.12_pymeeus/build/tests/test_epoch.py::test_epoch_constructor
> .pybuild/cpython3_3.12_pymeeus/build/tests/test_epoch.py::test_epoch_constructor
> .pybuild/cpython3_3.12_pymeeus/build/tests/test_epoch.py::test_epoch_constructor
> .pybuild/cpython3_3.12_pymeeus/build/tests/test_epoch.py::test_epoch_constructor
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus/Epoch.py:987:
> DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled
> for removal in a future version. Use timezone-aware objects to represent
> datetimes in UTC: datetime.datetime.now(datetime.UTC).
> utchour = datetime.datetime.utcnow().hour
>
> .pybuild/cpython3_3.12_pymeeus/build/tests/test_epoch.py::test_epoch_constructor
> .pybuild/cpython3_3.12_pymeeus/build/tests/test_epoch.py::test_epoch_constructor
> .pybuild/cpython3_3.12_pymeeus/build/tests/test_epoch.py::test_epoch_constructor
> .pybuild/cpython3_3.12_pymeeus/build/tests/test_epoch.py::test_epoch_constructor
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build/pymeeus/Epoch.py:989:
> DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled
> for removal in a future version. Use timezone-aware objects to represent
> datetimes in UTC: datetime.datetime.now(datetime.UTC).
> utcminute = datetime.datetime.utcnow().minute
>
> -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
> =========================== short test summary info
> ============================
> FAILED tests/test_curvefitting.py::test_curvefitting_correlation_coeff -
> Attr...
> FAILED tests/test_curvefitting.py::test_curvefitting_linear_fitting -
> Attribu...
> FAILED tests/test_curvefitting.py::test_curvefitting_quadratic_fitting -
> Attr...
> FAILED tests/test_curvefitting.py::test_curvefitting_general_fitting -
> ZeroDi...
> FAILED tests/test_interpolation.py::test_interpolation_call - RuntimeError:
> I...
> FAILED tests/test_interpolation.py::test_interpolation_derivative -
> IndexErro...
> FAILED tests/test_interpolation.py::test_interpolation_root - IndexError:
> lis...
> ================== 7 failed, 244 passed, 8 warnings in 2.11s
> ===================
> E: pybuild pybuild:389: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_pymeeus/build; python3.12 -m pytest
> tests
> I: pybuild base:305: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build; python3.11 -m pytest
> tests
> ============================= test session starts
> ==============================
> platform linux -- Python 3.11.8, pytest-8.1.1, pluggy-1.4.0
> rootdir: /<<PKGBUILDDIR>>
> plugins: cov-4.1.0
> collected 251 items
>
> tests/test_angle.py ........................................ [
> 15%]
> tests/test_coordinates.py ....................................... [
> 31%]
> tests/test_curvefitting.py .FFFF [
> 33%]
> tests/test_earth.py ................ [
> 39%]
> tests/test_epoch.py ................................. [
> 52%]
> tests/test_interpolation.py .FFF. [
> 54%]
> tests/test_jupiter.py .......... [
> 58%]
> tests/test_jupiterMoons.py ......... [
> 62%]
> tests/test_mars.py .......... [
> 66%]
> tests/test_mercury.py ............ [
> 71%]
> tests/test_minor.py .. [
> 72%]
> tests/test_moon.py .............. [
> 77%]
> tests/test_neptune.py ...... [
> 80%]
> tests/test_pluto.py .. [
> 80%]
> tests/test_saturn.py .............. [
> 86%]
> tests/test_sun.py ............ [
> 91%]
> tests/test_uranus.py ........ [
> 94%]
> tests/test_venus.py ..............
> [100%]
>
> =================================== FAILURES
> ===================================
> _____________________ test_curvefitting_correlation_coeff
> ______________________
>
> def test_curvefitting_correlation_coeff():
> """Tests the correlation_coeff() method of CurveFitting class"""
>
> > r = cf1.correlation_coeff()
>
> tests/test_curvefitting.py:95:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = CurveFitting([], [])
>
> def correlation_coeff(self):
> """This method returns the coefficient of correlation, as a float.
>
> :returns: Coefficient of correlation.
> :rtype: float
>
> >>> cf = CurveFitting([73.0, 38.0, 35.0, 42.0, 78.0, 68.0, 74.0, 42.0,
> ... 52.0, 54.0, 39.0, 61.0, 42.0, 49.0, 50.0, 62.0,
> ... 44.0, 39.0, 43.0, 54.0, 44.0, 37.0],
> ... [90.4, 125.3, 161.8, 143.4, 52.5, 50.8, 71.5,
> ... 152.8, 131.3, 98.5, 144.8, 78.1, 89.5, 63.9,
> ... 112.1, 82.0, 119.8, 161.2, 208.4, 111.6, 167.1,
> ... 162.1])
> >>> r = cf.correlation_coeff()
> >>> print(round(r, 3))
> -0.767
> """
>
> > n = self._N
> E AttributeError: 'CurveFitting' object has no attribute '_N'
>
> pymeeus/CurveFitting.py:324: AttributeError
> _______________________ test_curvefitting_linear_fitting
> _______________________
>
> def test_curvefitting_linear_fitting():
> """Tests the linear_fitting() method of CurveFitting class"""
>
> > a, b = cf1.linear_fitting()
>
> tests/test_curvefitting.py:103:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = CurveFitting([], [])
>
> def linear_fitting(self):
> """This method returns a tuple with the 'a', 'b' coefficients of the
> linear equation *'y = a*x + b'* that best fits the table data, using
> the least squares approach.
>
> :returns: 'a', 'b' coefficients of best linear equation fit.
> :rtype: tuple
> :raises: ZeroDivisionError if input data leads to a division by zero
>
> >>> cf = CurveFitting([73.0, 38.0, 35.0, 42.0, 78.0, 68.0, 74.0, 42.0,
> ... 52.0, 54.0, 39.0, 61.0, 42.0, 49.0, 50.0, 62.0,
> ... 44.0, 39.0, 43.0, 54.0, 44.0, 37.0],
> ... [90.4, 125.3, 161.8, 143.4, 52.5, 50.8, 71.5,
> ... 152.8, 131.3, 98.5, 144.8, 78.1, 89.5, 63.9,
> ... 112.1, 82.0, 119.8, 161.2, 208.4, 111.6, 167.1,
> ... 162.1])
> >>> a, b = cf.linear_fitting()
> >>> print("a = {}\tb = {}".format(round(a, 2), round(b, 2)))
> a = -2.49 b = 244.18
> """
>
> > n = self._N
> E AttributeError: 'CurveFitting' object has no attribute '_N'
>
> pymeeus/CurveFitting.py:354: AttributeError
> _____________________ test_curvefitting_quadratic_fitting
> ______________________
>
> def test_curvefitting_quadratic_fitting():
> """Tests the quadratic_fitting() method of CurveFitting class"""
>
> > a, b, c = cf3.quadratic_fitting()
>
> tests/test_curvefitting.py:121:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = CurveFitting([], [])
>
> def quadratic_fitting(self):
> """This method returns a tuple with the 'a', 'b', 'c' coefficients of
> the quadratic equation *'y = a*x*x + b*x + c'* that best fits the
> table
> data, using the least squares approach.
>
> :returns: 'a', 'b', 'c' coefficients of best quadratic equation fit.
> :rtype: tuple
> :raises: ZeroDivisionError if input data leads to a division by zero
>
> >>> cf2 = CurveFitting([-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5,
> ... 2.0, 2.5,3.0],
> ... [-9.372, -3.821, 0.291, 3.730, 5.822, 8.324,
> ... 9.083, 6.957, 7.006, 0.365, -1.722])
> >>> a, b, c = cf2.quadratic_fitting()
> >>> print("a = {}; b = {}; c = {}".format(round(a, 2), round(b, 2),
> ... round(c, 2)))
> a = -2.22; b = 3.76; c = 6.64
> """
>
> > n = self._N
> E AttributeError: 'CurveFitting' object has no attribute '_N'
>
> pymeeus/CurveFitting.py:387: AttributeError
> ______________________ test_curvefitting_general_fitting
> _______________________
>
> def test_curvefitting_general_fitting():
> """Tests the general_fitting() method of CurveFitting class"""
>
> # Let's define the three functions to be used for fitting
> def sin1(x):
> return sin(radians(x))
>
> def sin2(x):
> return sin(radians(2.0*x))
>
> def sin3(x):
> return sin(radians(3.0*x))
>
> > a, b, c = cf4.general_fitting(sin1, sin2, sin3)
>
> tests/test_curvefitting.py:145:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = CurveFitting([], [])
> f0 = <function test_curvefitting_general_fitting.<locals>.sin1 at
> 0x7f26f49f5a80>
> f1 = <function test_curvefitting_general_fitting.<locals>.sin2 at
> 0x7f26f49f5580>
> f2 = <function test_curvefitting_general_fitting.<locals>.sin3 at
> 0x7f26f49f5800>
>
> def general_fitting(self, f0, f1=lambda *args: 0.0, f2=lambda *args: 0.0):
> """This method returns a tuple with the 'a', 'b', 'c' coefficients of
> the general equation *'y = a*f0(x) + b*f1(x) + c*f2(x)'* that best
> fits
> the table data, using the least squares approach.
>
> :param f0, f1, f2: Functions used to build the general equation.
> :type f0, f1, f2: function
> :returns: 'a', 'b', 'c' coefficients of best general equation fit.
> :rtype: tuple
> :raises: ZeroDivisionError if input functions are null or input data
> leads to a division by zero
>
> >>> cf4 = CurveFitting([3, 20, 34, 50, 75, 88, 111, 129, 143, 160,
> 183,
> ... 200, 218, 230, 248, 269, 290, 303, 320, 344],
> ... [0.0433, 0.2532, 0.3386, 0.3560, 0.4983,
> 0.7577,
> ... 1.4585, 1.8628, 1.8264, 1.2431, -0.2043,
> ... -1.2431, -1.8422, -1.8726, -1.4889, -0.8372,
> ... -0.4377, -0.3640, -0.3508, -0.2126])
> >>> def sin1(x): return sin(radians(x))
> >>> def sin2(x): return sin(radians(2.0*x))
> >>> def sin3(x): return sin(radians(3.0*x))
> >>> a, b, c = cf4.general_fitting(sin1, sin2, sin3)
> >>> print("a = {}; b = {}; c = {}".format(round(a, 2), round(b, 2),
> ... round(c, 2)))
> a = 1.2; b = -0.77; c = 0.39
>
> >>> cf5 = CurveFitting([0, 1.2, 1.4, 1.7, 2.1, 2.2])
> >>> a, b, c = cf5.general_fitting(sqrt)
> >>> print("a = {}; b = {}; c = {}".format(round(a, 3), round(b, 3),
> ... round(c, 3)))
> a = 1.016; b = 0.0; c = 0.0
> """
>
> m = 0
> p = 0
> q = 0
> r = 0
> s = 0
> t = 0
> u = 0
> v = 0
> w = 0
> xl = list(self._x)
> yl = list(self._y)
> for i, value in enumerate(xl):
> x = value
> y = yl[i]
> m += f0(x) * f0(x)
> p += f0(x) * f1(x)
> q += f0(x) * f2(x)
> r += f1(x) * f1(x)
> s += f1(x) * f2(x)
> t += f2(x) * f2(x)
> u += y * f0(x)
> v += y * f1(x)
> w += y * f2(x)
>
> if abs(r) < TOL and abs(t) < TOL and abs(m) >= TOL:
> return (u / m, 0.0, 0.0)
>
> if abs(m * r * t) < TOL:
> > raise ZeroDivisionError("Invalid input functions: They are null")
> E ZeroDivisionError: Invalid input functions: They are null
>
> pymeeus/CurveFitting.py:470: ZeroDivisionError
> ___________________________ test_interpolation_call
> ____________________________
>
> def test_interpolation_call():
> """Tests the __call__() method of Interpolation class"""
>
> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
>
> assert abs(m(-0.8) - (-0.52)) < TOL, \
> "ERROR: In 1st __call__() test, output value doesn't match"
>
> assert abs(m(0.7) - 2.93) < TOL, \
> "ERROR: In 2nd __call__() test, output value doesn't match"
>
> assert abs(m(-1.0) - (-2.0)) < TOL, \
> "ERROR: In 3rd __call__() test, output value doesn't match"
>
> m = Interpolation([-3.0, 0.0, 2.5], [12.0, -3.0, -1.75])
>
> assert abs(m(-2.0) - 5.0) < TOL, \
> "ERROR: In 4th __call__() test, output value doesn't match"
>
> assert abs(m(2.5) - (-1.75)) < TOL, \
> "ERROR: In 5th __call__() test, output value doesn't match"
>
> # This interpolation test uses Right Ascension
> > a = Angle(i_ra(11.0))
>
> tests/test_interpolation.py:121:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = Interpolation([], []), x = 11.0
>
> def __call__(self, x):
> """Method to interpolate the function at a given 'x'.
>
> :param x: Point where the interpolation will be carried out.
> :type x: int, float, :py:class:`Angle`
>
> :returns: Resulting value of the interpolation.
> :rtype: float
> :raises: ValueError if input value is outside of interpolation range.
> :raises: TypeError if input value is of wrong type.
>
> >>> i = Interpolation([7, 8, 9], [0.884226, 0.877366, 0.870531])
> >>> y = round(i(8.18125), 6)
> >>> print(y)
> 0.876125
> """
>
> # Check if input value is of correct type
> if isinstance(x, (int, float, Angle)):
> # Check if 'x' already belongs to the data table
> for i in range(len(self._x)):
> if abs(x - self._x[i]) < self._tol:
> return self._y[i] # We don't need to look further
> # Check if Newton coefficients table is not empty
> if len(self._table) == 0:
> > raise RuntimeError("Internal table is empty. Use set().")
> E RuntimeError: Internal table is empty. Use set().
>
> pymeeus/Interpolation.py:407: RuntimeError
> ________________________ test_interpolation_derivative
> _________________________
>
> def test_interpolation_derivative():
> """Tests the derivative() method of Interpolation class"""
>
> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
>
> assert abs(m.derivative(-1.0) - 8.0) < TOL, \
> "ERROR: In 1st derivative() test, output value doesn't match"
>
> assert abs(m.derivative(0.0) - 2.0) < TOL, \
> "ERROR: In 2nd derivative() test, output value doesn't match"
>
> assert abs(m.derivative(0.5) - (-1.0)) < TOL, \
> "ERROR: In 3rd derivative() test, output value doesn't match"
>
> m = Interpolation([-3.0, 0.0, 2.5], [12.0, -3.0, -1.75])
>
> assert abs(m.derivative(-3.0) - (-8.0)) < TOL, \
> "ERROR: In 4th derivative() test, output value doesn't match"
>
> assert abs(m.derivative(0.0) - (-2.0)) < TOL, \
> "ERROR: In 5th derivative() test, output value doesn't match"
>
> assert abs(m.derivative(2.5) - 3.0) < TOL, \
> "ERROR: In 6th derivative() test, output value doesn't match"
>
> # Do test with an interpolation object with 6 table entries, based on
> sine
> # We need to adjust the result because degrees were used instead of
> radians
> > res = degrees(i_sine.derivative(30.0))
>
> tests/test_interpolation.py:161:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = Interpolation([], []), x = 30.0
>
> def derivative(self, x):
> """Method to compute the derivative from interpolation polynomial.
>
> :param x: Point where the interpolation derivative will be carried
> out.
> :type x: int, float, :py:class:`Angle`
>
> :returns: Resulting value of the interpolation derivative.
> :rtype: float
> :raises: ValueError if input value is outside of interpolation range.
> :raises: TypeError if input value is of wrong type.
>
> >>> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
> >>> m.derivative(-1.0)
> 8.0
> >>> m.derivative(0.5)
> -1.0
> """
>
> # Check if input value is of correct type
> if isinstance(x, (int, float, Angle)):
> # Check that x is within interpolation table values
> > if x < self._x[0] or x > self._x[-1]:
> E IndexError: list index out of range
>
> pymeeus/Interpolation.py:441: IndexError
> ___________________________ test_interpolation_root
> ____________________________
>
> def test_interpolation_root():
> """Tests the root() method of Interpolation class"""
>
> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
>
> assert abs(m.root() - (-0.7207592200561265)) < TOL, \
> "ERROR: In 1st root() test, output value doesn't match"
>
> m = Interpolation([-3.0, 0.0, 2.5], [12.0, -3.0, -1.75])
>
> assert abs(m.root(-2.0, 0.0) - (-1.0)) < TOL, \
> "ERROR: In 2nd root() test, output value doesn't match"
>
> assert abs(m.root() - (-1.0)) < TOL, \
> "ERROR: In 3rd root() test, output value doesn't match"
>
> m = Interpolation([-3.0, 0.0, 2.5, 3.5], [12.0, -3.0, -1.75, 2.25])
>
> assert abs(m.root(0.0, 3.15) - 3.0) < TOL, \
> "ERROR: In 4th root() test, output value doesn't match"
>
> # Let's do some tests with Angles
> > assert abs(i_angles1.root() - 26.798732705) < TOL, \
> "ERROR: In 5th root() test, output value doesn't match"
>
> tests/test_interpolation.py:188:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> self = Interpolation([], []), xl = 0, xh = 0, max_iter = 1000
>
> def root(self, xl=0, xh=0, max_iter=1000):
> """Method to find the root inside the [xl, xh] range.
>
> This method applies, in principle, the Newton method to find the root;
> however, if conditions are such that Newton method may not bei
> properly
> behaving or converging, then it switches to the linear Interpolation
> method.
>
> If values xl, xh are not given, the limits of the interpolation table
> values will be used.
>
> .. note:: This method returns a ValueError exception if the
> corresponding yl = f(xl) and yh = f(xh) values have the same sign.
> In that case, the method assumes there is no root in the [xl, xh]
> interval.
>
> .. note:: If any of the xl, xh values is beyond the limits given by
> the
> interpolation values, its value will be set to the corresponding
> limit.
>
> .. note:: If xl == xh (and not zero), a ValueError exception is
> raised.
>
> .. note:: If the method doesn't converge within max_iter ierations,
> then a ValueError exception is raised.
>
> :param xl: Lower limit of interval where the root will be looked for.
> :type xl: int, float, :py:class:`Angle`
> :param xh: Higher limit of interval where the root will be looked for.
> :type xh: int, float, :py:class:`Angle`
> :param max_iter: Maximum number of iterations allowed.
> :type max_iter: int
>
> :returns: Root of the interpolated function within [xl, xh] interval.
> :rtype: int, float, :py:class:`Angle`
> :raises: ValueError if yl = f(xl), yh = f(xh) have same sign.
> :raises: ValueError if xl == xh.
> :raises: ValueError if maximum number of iterations is exceeded.
> :raises: TypeError if input value is of wrong type.
>
> >>> m = Interpolation([-1.0, 0.0, 1.0], [-2.0, 3.0, 2.0])
> >>> round(m.root(), 8)
> -0.72075922
> """
>
> # Get the limits of the interpolation table
> > xmin = self._x[0]
> E IndexError: list index out of range
>
> pymeeus/Interpolation.py:506: IndexError
> =========================== short test summary info
> ============================
> FAILED tests/test_curvefitting.py::test_curvefitting_correlation_coeff -
> Attr...
> FAILED tests/test_curvefitting.py::test_curvefitting_linear_fitting -
> Attribu...
> FAILED tests/test_curvefitting.py::test_curvefitting_quadratic_fitting -
> Attr...
> FAILED tests/test_curvefitting.py::test_curvefitting_general_fitting -
> ZeroDi...
> FAILED tests/test_interpolation.py::test_interpolation_call - RuntimeError:
> I...
> FAILED tests/test_interpolation.py::test_interpolation_derivative -
> IndexErro...
> FAILED tests/test_interpolation.py::test_interpolation_root - IndexError:
> lis...
> ======================== 7 failed, 244 passed in 1.97s
> =========================
> E: pybuild pybuild:389: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_pymeeus/build; python3.11 -m pytest
> tests
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.12
> 3.11" returned exit code 13
The full build log is available from:
http://qa-logs.debian.net/2024/03/19/pymeeus_0.5.11+dfsg1-1_unstable.log
All bugs filed during this archive rebuild are listed at:
https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20240319;[email protected]
or:
https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20240319&[email protected]&allbugs=1&cseverity=1&ctags=1&caffected=1#results
A list of current common problems and possible solutions is available at
http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!
If you reassign this bug to another package, please mark it as 'affects'-ing
this package. See https://www.debian.org/Bugs/server-control#affects
If you fail to reproduce this, please provide a build log and diff it with mine
so that we can identify if something relevant changed in the meantime.
