Attachment 1444269 Details for Bug 1556236 – build.log

build.log

build.log (text/plain), 59.88 KB, created by Fedora Release Engineering on 2018-05-28 22:08:51 UTC

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Creator: Fedora Release Engineering

Created: 2018-05-28 22:08:51 UTC

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patch

obsolete

>Mock Version: 1.3.4
>Mock Version: 1.3.4
>ENTER ['do'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --target noarch --nodeps /builddir/build/SPECS/python-pacpy.spec'], chrootPath='/var/lib/mock/f29-build-12552758-917934/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'en_US.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x7f70d4f22e10>timeout=172800uid=1000gid=425user='mockbuild'nspawn_args=[]printOutput=False)
>Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --target noarch --nodeps /builddir/build/SPECS/python-pacpy.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'en_US.UTF-8'} and shell False
>Building target platforms: noarch
>Building for target noarch
>Wrote: /builddir/build/SRPMS/python-pacpy-1.0.2-6.fc29.src.rpm
>Child return code was: 0
>ENTER ['do'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --target noarch --nodeps /builddir/build/SPECS/python-pacpy.spec'], chrootPath='/var/lib/mock/f29-build-12552758-917934/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'en_US.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x7f70d4f22e10>timeout=172800uid=1000gid=425user='mockbuild'nspawn_args=[]printOutput=False)
>Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --target noarch --nodeps /builddir/build/SPECS/python-pacpy.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'en_US.UTF-8'} and shell False
>Building target platforms: noarch
>Building for target noarch
>Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.obTMgi
>+ umask 022
>+ cd /builddir/build/BUILD
>+ cd /builddir/build/BUILD
>+ rm -rf pacpy-1.0.2
>+ /usr/bin/gzip -dc /builddir/build/SOURCES/pacpy-1.0.2.tar.gz
>+ /usr/bin/tar -xof -
>+ STATUS=0
>+ '[' 0 -ne 0 ']'
>+ cd pacpy-1.0.2
>+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
>+ exit 0
>Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.ZqRsLa
>+ umask 022
>+ cd /builddir/build/BUILD
>+ cd pacpy-1.0.2
>+ CFLAGS='-O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fexceptions -fstack-protector-strong -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m32 -march=i686 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection'
>+ LDFLAGS='-Wl,-z,relro  -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld'
>+ /usr/bin/python2 setup.py build '--executable=/usr/bin/python2 -s'
>running build
>running build_py
>creating build
>creating build/lib
>creating build/lib/pacpy
>copying pacpy/filt.py -> build/lib/pacpy
>copying pacpy/__init__.py -> build/lib/pacpy
>copying pacpy/pac.py -> build/lib/pacpy
>creating build/lib/pacpy/tests
>copying pacpy/tests/exampledata.npy -> build/lib/pacpy/tests
>copying pacpy/tests/test_filt.py -> build/lib/pacpy/tests
>copying pacpy/tests/test_pac.py -> build/lib/pacpy/tests
>+ sleep 1
>+ CFLAGS='-O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fexceptions -fstack-protector-strong -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m32 -march=i686 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection'
>+ LDFLAGS='-Wl,-z,relro  -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld'
>+ /usr/bin/python3 setup.py build '--executable=/usr/bin/python3 -s'
>running build
>running build_py
>+ sleep 1
>+ exit 0
>Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.knJGg9
>+ umask 022
>+ cd /builddir/build/BUILD
>+ '[' /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch '!=' / ']'
>+ rm -rf /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch
>++ dirname /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch
>+ mkdir -p /builddir/build/BUILDROOT
>+ mkdir /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch
>+ cd pacpy-1.0.2
>+ CFLAGS='-O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fexceptions -fstack-protector-strong -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m32 -march=i686 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection'
>+ LDFLAGS='-Wl,-z,relro  -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld'
>+ /usr/bin/python2 setup.py install -O1 --skip-build --root /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch
>running install
>running install_lib
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy
>copying build/lib/pacpy/filt.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy
>copying build/lib/pacpy/__init__.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy
>copying build/lib/pacpy/pac.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/tests
>copying build/lib/pacpy/tests/exampledata.npy -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/tests
>copying build/lib/pacpy/tests/test_filt.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/tests
>copying build/lib/pacpy/tests/test_pac.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/tests
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py to filt.pyc
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/__init__.py to __init__.pyc
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py to pac.pyc
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/tests/test_filt.py to test_filt.pyc
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/tests/test_pac.py to test_pac.pyc
>writing byte-compilation script '/tmp/tmppiXEVl.py'
>/usr/bin/python2 -O /tmp/tmppiXEVl.py
>removing /tmp/tmppiXEVl.py
>running install_egg_info
>running egg_info
>creating pacpy.egg-info
>writing requirements to pacpy.egg-info/requires.txt
>writing pacpy.egg-info/PKG-INFO
>writing top-level names to pacpy.egg-info/top_level.txt
>writing dependency_links to pacpy.egg-info/dependency_links.txt
>writing manifest file 'pacpy.egg-info/SOURCES.txt'
>reading manifest file 'pacpy.egg-info/SOURCES.txt'
>writing manifest file 'pacpy.egg-info/SOURCES.txt'
>Copying pacpy.egg-info to /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy-1.0.2-py2.7.egg-info
>running install_scripts
>+ CFLAGS='-O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fexceptions -fstack-protector-strong -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m32 -march=i686 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection'
>+ LDFLAGS='-Wl,-z,relro  -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld'
>+ /usr/bin/python3 setup.py install -O1 --skip-build --root /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch
>running install
>running install_lib
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy
>copying build/lib/pacpy/filt.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy
>copying build/lib/pacpy/__init__.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy
>copying build/lib/pacpy/pac.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy
>creating /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/tests
>copying build/lib/pacpy/tests/exampledata.npy -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/tests
>copying build/lib/pacpy/tests/test_filt.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/tests
>copying build/lib/pacpy/tests/test_pac.py -> /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/tests
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/filt.py to filt.cpython-36.pyc
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/__init__.py to __init__.cpython-36.pyc
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/pac.py to pac.cpython-36.pyc
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/tests/test_filt.py to test_filt.cpython-36.pyc
>byte-compiling /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy/tests/test_pac.py to test_pac.cpython-36.pyc
>writing byte-compilation script '/tmp/tmp9n3xnh2d.py'
>/usr/bin/python3 /tmp/tmp9n3xnh2d.py
>removing /tmp/tmp9n3xnh2d.py
>running install_egg_info
>running egg_info
>writing pacpy.egg-info/PKG-INFO
>writing dependency_links to pacpy.egg-info/dependency_links.txt
>writing requirements to pacpy.egg-info/requires.txt
>writing top-level names to pacpy.egg-info/top_level.txt
>reading manifest file 'pacpy.egg-info/SOURCES.txt'
>writing manifest file 'pacpy.egg-info/SOURCES.txt'
>Copying pacpy.egg-info to /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6/site-packages/pacpy-1.0.2-py3.6.egg-info
>running install_scripts
>+ /usr/lib/rpm/find-debuginfo.sh -j48 --strict-build-id -m -i --build-id-seed 1.0.2-6.fc29 --unique-debug-suffix -1.0.2-6.fc29.noarch --unique-debug-src-base python-pacpy-1.0.2-6.fc29.noarch --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -S debugsourcefiles.list /builddir/build/BUILD/pacpy-1.0.2
>find: 'debug': No such file or directory
>+ /usr/lib/rpm/check-buildroot
>+ /usr/lib/rpm/redhat/brp-ldconfig
>/sbin/ldconfig: Warning: ignoring configuration file that cannot be opened: /etc/ld.so.conf: No such file or directory
>+ /usr/lib/rpm/brp-compress
>+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
>+ /usr/lib/rpm/brp-python-bytecompile /usr/bin/python 1
>Bytecompiling .py files below /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python3.6 using /usr/bin/python3.6
>Bytecompiling .py files below /builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7 using /usr/bin/python2.7
>+ /usr/lib/rpm/brp-python-hardlink
>+ /usr/lib/rpm/redhat/brp-mangle-shebangs
>Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.7WDJBa
>+ umask 022
>+ cd /builddir/build/BUILD
>+ cd pacpy-1.0.2
>~/build/BUILD/pacpy-1.0.2/pacpy/tests ~/build/BUILD/pacpy-1.0.2
>+ pushd pacpy/tests
>+ PYTHONPATH=/builddir/build/BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages
>+ py.test-2.7 -v
>============================= test session starts ==============================
>platform linux2 -- Python 2.7.15, pytest-3.5.1, py-1.5.3, pluggy-0.6.0 -- /usr/bin/python2
>cachedir: ../../.pytest_cache
>rootdir: /builddir/build/BUILD/pacpy-1.0.2, inifile:
>collecting ... collected 15 items
>test_filt.py::test_firf FAILED                                           [  6%]
>test_filt.py::test_firfls FAILED                                         [ 13%]
>test_filt.py::test_morletf PASSED                                        [ 20%]
>test_pac.py::test_plv FAILED                                             [ 26%]
>test_pac.py::test_glm FAILED                                             [ 33%]
>test_pac.py::test_mi_tort FAILED                                         [ 40%]
>test_pac.py::test_mi_canolty FAILED                                      [ 46%]
>test_pac.py::test_ozkurt FAILED                                          [ 53%]
>test_pac.py::test_otc PASSED                                             [ 60%]
>test_pac.py::test_peaktimes PASSED                                       [ 66%]
>test_pac.py::test_chunktime PASSED                                       [ 73%]
>test_pac.py::test_comod FAILED                                           [ 80%]
>test_pac.py::test_paseries FAILED                                        [ 86%]
>test_pac.py::test_padist FAILED                                          [ 93%]
>test_pac.py::test_raiseinputerrors PASSED                                [100%]
>=================================== FAILURES ===================================
>__________________________________ test_firf ___________________________________
>    def test_firf():
>        """
>        Confirm consistency in FIR filtering
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>>       assert np.allclose(
>            np.sum(np.abs(firf(data, (13, 30)))), 5517466.5857, atol=10 ** -5)
>test_filt.py:13: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>_________________________________ test_firfls __________________________________
>    def test_firfls():
>        """
>        Confirm consistency in FIR least-squares filtering
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>>       assert np.allclose(
>            np.sum(np.abs(firfls(data, (13, 30)))), 6020360.04878, atol=10 ** -5)
>test_filt.py:23: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:114: in firfls
>    taps = firwin2(Ntaps, f, m)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:625: in firwin2
>    wind = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>___________________________________ test_plv ___________________________________
>    def test_plv():
>        """
>        Test PAC function: PLV.
>        1. Confirm consistency of output with example data
>        2. Confirm consistency of output with example data using firfls filter
>        3. Confirm PAC=1 when expected
>        4. Confirm PAC=0 when expected
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>>       assert np.allclose(
>            plv(data, data, (13, 30), (80, 200)), 0.25114, atol=10 ** -5)
>test_pac.py:54: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:90: in plv
>    filter_kwargs=filter_kwargs, hi_phase=True)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:786: in pa_series
>    lo = filterfn(lo, f_lo, fs, **filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>___________________________________ test_glm ___________________________________
>    def test_glm():
>        """
>        Test PAC function: GLM
>        1. Confirm consistency of output with example data
>        2. Confirm PAC=1 when expected
>        3. Confirm PAC=0 when expected
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>>       assert np.allclose(
>            glm(data, data, (13, 30), (80, 200)), 0.03243, atol=10 ** -5)
>test_pac.py:88: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:266: in glm
>    filter_kwargs=filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:786: in pa_series
>    lo = filterfn(lo, f_lo, fs, **filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>_________________________________ test_mi_tort _________________________________
>    def test_mi_tort():
>        """
>        Test PAC function: Tort MI
>        1. Confirm consistency of output with example data
>        2. Confirm PAC=1 when expected
>        3. Confirm PAC=0 when expected
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>>       assert np.allclose(
>            mi_tort(data, data, (13, 30), (80, 200)), 0.00363, atol=10 ** -5)
>test_pac.py:108: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:181: in mi_tort
>    filter_kwargs=filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:786: in pa_series
>    lo = filterfn(lo, f_lo, fs, **filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>_______________________________ test_mi_canolty ________________________________
>    def test_mi_canolty():
>        """
>        Test PAC function: Canolty MI
>        1. Confirm consistency of output with example data
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>        np.random.seed(0)
>>       assert np.allclose(
>            mi_canolty(data, data, (13, 30), (80, 200)), 22.08946, atol=10 ** -5)
>test_pac.py:127: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:334: in mi_canolty
>    filter_kwargs=filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:786: in pa_series
>    lo = filterfn(lo, f_lo, fs, **filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>_________________________________ test_ozkurt __________________________________
>    def test_ozkurt():
>        """
>        Test PAC function: Ozkurt
>        1. Confirm consistency of output with example data
>        2. Confirm PAC=1 when expected
>        3. Confirm PAC=0 when expected
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>>       assert np.allclose(
>            ozkurt(data, data, (13, 30), (80, 200)), 0.07658, atol=10 ** -5)
>test_pac.py:140: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:399: in ozkurt
>    filter_kwargs=filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:786: in pa_series
>    lo = filterfn(lo, f_lo, fs, **filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>__________________________________ test_comod __________________________________
>    def test_comod():
>        """
>        Test comodulogram function
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>        p_range = [10, 21]
>        a_range = [50, 150]
>        dp = 5
>        da = 50
>>       a = comodulogram(data, data, p_range, a_range, dp, da)
>test_pac.py:210: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:721: in comodulogram
>    filterfn=filterfn, filter_kwargs=filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:181: in mi_tort
>    filter_kwargs=filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:786: in pa_series
>    lo = filterfn(lo, f_lo, fs, **filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 300.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>________________________________ test_paseries _________________________________
>    def test_paseries():
>        """
>        Test calculation of phase and amplitude time series
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>    
>        # Confirm returns correct size
>>       p, a = pa_series(data, data, (13, 30), (80, 200))
>test_pac.py:224: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:786: in pa_series
>    lo = filterfn(lo, f_lo, fs, **filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>_________________________________ test_padist __________________________________
>    def test_padist():
>        """
>        Test calculation of amplitude distribution as a function of phase
>        """
>        # Load data
>        data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
>    
>        np.random.seed(0)
>        Nbins = np.random.randint(2, 20)
>>       pha, amp = pa_series(data, data, (13, 30), (80, 200))
>test_pac.py:238: 
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/pac.py:786: in pa_series
>    lo = filterfn(lo, f_lo, fs, **filter_kwargs)
>../../../../BUILDROOT/python-pacpy-1.0.2-6.fc29.noarch/usr/lib/python2.7/site-packages/pacpy/filt.py:49: in firf
>    taps = firwin(Ntaps, np.array(f_range) / nyq, pass_zero=False)
>/usr/lib/python2.7/site-packages/scipy/signal/fir_filter_design.py:430: in firwin
>    win = get_window(window, numtaps, fftbins=False)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1767: in get_window
>    return winfunc(*params)
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:1036: in hamming
>    w = _cos_win(M, [0.54, 0.46])
>_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
>M = 230.0, a = [0.54, 0.46], sym = True
>    def _cos_win(M, a, sym=True):
>        r"""
>        Generic weighted sum of cosine terms window
>    
>        Parameters
>        ----------
>        M : int
>            Number of points in the output window
>        a : array_like
>            Sequence of weighting coefficients. This uses the convention of being
>            centered on the origin, so these will typically all be positive
>            numbers, not alternating sign.
>        sym : bool, optional
>            When True (default), generates a symmetric window, for use in filter
>            design.
>            When False, generates a periodic window, for use in spectral analysis.
>    
>        References
>        ----------
>        .. [1] A. Nuttall, "Some windows with very good sidelobe behavior," IEEE
>               Transactions on Acoustics, Speech, and Signal Processing, vol. 29,
>               no. 1, pp. 84-91, Feb 1981. :doi:`10.1109/TASSP.1981.1163506`.
>        .. [2] Heinzel G. et al., "Spectrum and spectral density estimation by the
>               Discrete Fourier transform (DFT), including a comprehensive list of
>               window functions and some new flat-top windows", February 15, 2002
>               https://holometer.fnal.gov/GH_FFT.pdf
>    
>        Examples
>        --------
>        Heinzel describes a flat-top window named "HFT90D" with formula: [2]_
>    
>        .. math::  w_j = 1 - 1.942604 \cos(z) + 1.340318 \cos(2z)
>                   - 0.440811 \cos(3z) + 0.043097 \cos(4z)
>    
>        where
>    
>        .. math::  z = \frac{2 \pi j}{N}, j = 0...N - 1
>    
>        Since this uses the convention of starting at the origin, to reproduce the
>        window, we need to convert every other coefficient to a positive number:
>    
>        >>> HFT90D = [1, 1.942604, 1.340318, 0.440811, 0.043097]
>    
>        The paper states that the highest sidelobe is at -90.2 dB.  Reproduce
>        Figure 42 by plotting the window and its frequency response, and confirm
>        the sidelobe level in red:
>    
>        >>> from scipy import signal
>        >>> from scipy.fftpack import fft, fftshift
>        >>> import matplotlib.pyplot as plt
>    
>        >>> window = signal._cos_win(1000, HFT90D, sym=False)
>        >>> plt.plot(window)
>        >>> plt.title("HFT90D window")
>        >>> plt.ylabel("Amplitude")
>        >>> plt.xlabel("Sample")
>    
>        >>> plt.figure()
>        >>> A = fft(window, 10000) / (len(window)/2.0)
>        >>> freq = np.linspace(-0.5, 0.5, len(A))
>        >>> response = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))
>        >>> plt.plot(freq, response)
>        >>> plt.axis([-50/1000, 50/1000, -140, 0])
>        >>> plt.title("Frequency response of the HFT90D window")
>        >>> plt.ylabel("Normalized magnitude [dB]")
>        >>> plt.xlabel("Normalized frequency [cycles per sample]")
>        >>> plt.axhline(-90.2, color='red')
>    
>        """
>        if _len_guards(M):
>            return np.ones(M)
>        M, needs_trunc = _extend(M, sym)
>    
>        fac = np.linspace(-np.pi, np.pi, M)
>>       w = np.zeros(M)
>E       TypeError: 'numpy.float64' object cannot be interpreted as an index
>/usr/lib/python2.7/site-packages/scipy/signal/windows.py:113: TypeError
>===================== 10 failed, 5 passed in 2.05 seconds ======================
>RPM build errors:
>error: Bad exit status from /var/tmp/rpm-tmp.7WDJBa (%check)
>    Bad exit status from /var/tmp/rpm-tmp.7WDJBa (%check)
>Child return code was: 1
>EXCEPTION: [Error()]
>Traceback (most recent call last):
>  File "/usr/lib/python3.6/site-packages/mockbuild/trace_decorator.py", line 89, in trace
>    result = func(*args, **kw)
>  File "/usr/lib/python3.6/site-packages/mockbuild/util.py", line 582, in do
>    raise exception.Error("Command failed. See logs for output.\n # %s" % (command,), child.returncode)
>mockbuild.exception.Error: Command failed. See logs for output.
> # bash --login -c /usr/bin/rpmbuild -bb --target noarch --nodeps /builddir/build/SPECS/python-pacpy.spec

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Attachments on bug 1556236: 1444269 | 1444271 | 1444273