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January 29, 2019 07:30
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shenfun error
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| python -m pytest . | |
| ============================= test session starts ============================== | |
| platform linux -- Python 3.6.7, pytest-4.1.1, py-1.7.0, pluggy-0.8.1 | |
| rootdir: /home/fnauman/python3/shenfun, inifile: | |
| collected 3563 items | |
| test_curl.py .... [ 0%] | |
| test_demos.py F [ 0%] | |
| test_forms.py ........................... [ 0%] | |
| test_io.py ...F...F...F...F...F...F [ 1%] | |
| test_la.py .... [ 1%] | |
| test_lagrangian_particles.py . [ 1%] | |
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| test_tensorproductspace.py ............................................. [ 89%] | |
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| ..... [ 93%] | |
| test_transforms.py ..................................................... [ 95%] | |
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| =================================== FAILURES =================================== | |
| __________________________________ test_demos __________________________________ | |
| def test_demos(): | |
| subprocess.check_output("/bin/bash rundemos.sh", shell=True, | |
| > cwd=os.path.join(os.getcwd(), "tests")) | |
| test_demos.py:7: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/subprocess.py:336: in check_output | |
| **kwargs).stdout | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/subprocess.py:403: in run | |
| with Popen(*popenargs, **kwargs) as process: | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/subprocess.py:709: in __init__ | |
| restore_signals, start_new_session) | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| self = <subprocess.Popen object at 0x7f30dc423128> | |
| args = ['/bin/sh', '-c', '/bin/bash rundemos.sh'], executable = b'/bin/sh' | |
| preexec_fn = None, close_fds = True, pass_fds = () | |
| cwd = '/home/fnauman/python3/shenfun/tests/tests', env = None | |
| startupinfo = None, creationflags = 0, shell = True, p2cread = -1, p2cwrite = -1 | |
| c2pread = 11, c2pwrite = 12, errread = -1, errwrite = -1, restore_signals = True | |
| start_new_session = False | |
| def _execute_child(self, args, executable, preexec_fn, close_fds, | |
| pass_fds, cwd, env, | |
| startupinfo, creationflags, shell, | |
| p2cread, p2cwrite, | |
| c2pread, c2pwrite, | |
| errread, errwrite, | |
| restore_signals, start_new_session): | |
| """Execute program (POSIX version)""" | |
| if isinstance(args, (str, bytes)): | |
| args = [args] | |
| else: | |
| args = list(args) | |
| if shell: | |
| args = ["/bin/sh", "-c"] + args | |
| if executable: | |
| args[0] = executable | |
| if executable is None: | |
| executable = args[0] | |
| orig_executable = executable | |
| # For transferring possible exec failure from child to parent. | |
| # Data format: "exception name:hex errno:description" | |
| # Pickle is not used; it is complex and involves memory allocation. | |
| errpipe_read, errpipe_write = os.pipe() | |
| # errpipe_write must not be in the standard io 0, 1, or 2 fd range. | |
| low_fds_to_close = [] | |
| while errpipe_write < 3: | |
| low_fds_to_close.append(errpipe_write) | |
| errpipe_write = os.dup(errpipe_write) | |
| for low_fd in low_fds_to_close: | |
| os.close(low_fd) | |
| try: | |
| try: | |
| # We must avoid complex work that could involve | |
| # malloc or free in the child process to avoid | |
| # potential deadlocks, thus we do all this here. | |
| # and pass it to fork_exec() | |
| if env is not None: | |
| env_list = [] | |
| for k, v in env.items(): | |
| k = os.fsencode(k) | |
| if b'=' in k: | |
| raise ValueError("illegal environment variable name") | |
| env_list.append(k + b'=' + os.fsencode(v)) | |
| else: | |
| env_list = None # Use execv instead of execve. | |
| executable = os.fsencode(executable) | |
| if os.path.dirname(executable): | |
| executable_list = (executable,) | |
| else: | |
| # This matches the behavior of os._execvpe(). | |
| executable_list = tuple( | |
| os.path.join(os.fsencode(dir), executable) | |
| for dir in os.get_exec_path(env)) | |
| fds_to_keep = set(pass_fds) | |
| fds_to_keep.add(errpipe_write) | |
| self.pid = _posixsubprocess.fork_exec( | |
| args, executable_list, | |
| close_fds, tuple(sorted(map(int, fds_to_keep))), | |
| cwd, env_list, | |
| p2cread, p2cwrite, c2pread, c2pwrite, | |
| errread, errwrite, | |
| errpipe_read, errpipe_write, | |
| restore_signals, start_new_session, preexec_fn) | |
| self._child_created = True | |
| finally: | |
| # be sure the FD is closed no matter what | |
| os.close(errpipe_write) | |
| # self._devnull is not always defined. | |
| devnull_fd = getattr(self, '_devnull', None) | |
| if p2cread != -1 and p2cwrite != -1 and p2cread != devnull_fd: | |
| os.close(p2cread) | |
| if c2pwrite != -1 and c2pread != -1 and c2pwrite != devnull_fd: | |
| os.close(c2pwrite) | |
| if errwrite != -1 and errread != -1 and errwrite != devnull_fd: | |
| os.close(errwrite) | |
| if devnull_fd is not None: | |
| os.close(devnull_fd) | |
| # Prevent a double close of these fds from __init__ on error. | |
| self._closed_child_pipe_fds = True | |
| # Wait for exec to fail or succeed; possibly raising an | |
| # exception (limited in size) | |
| errpipe_data = bytearray() | |
| while True: | |
| part = os.read(errpipe_read, 50000) | |
| errpipe_data += part | |
| if not part or len(errpipe_data) > 50000: | |
| break | |
| finally: | |
| # be sure the FD is closed no matter what | |
| os.close(errpipe_read) | |
| if errpipe_data: | |
| try: | |
| pid, sts = os.waitpid(self.pid, 0) | |
| if pid == self.pid: | |
| self._handle_exitstatus(sts) | |
| else: | |
| self.returncode = sys.maxsize | |
| except ChildProcessError: | |
| pass | |
| try: | |
| exception_name, hex_errno, err_msg = ( | |
| errpipe_data.split(b':', 2)) | |
| # The encoding here should match the encoding | |
| # written in by the subprocess implementations | |
| # like _posixsubprocess | |
| err_msg = err_msg.decode() | |
| except ValueError: | |
| exception_name = b'SubprocessError' | |
| hex_errno = b'0' | |
| err_msg = 'Bad exception data from child: {!r}'.format( | |
| bytes(errpipe_data)) | |
| child_exception_type = getattr( | |
| builtins, exception_name.decode('ascii'), | |
| SubprocessError) | |
| if issubclass(child_exception_type, OSError) and hex_errno: | |
| errno_num = int(hex_errno, 16) | |
| child_exec_never_called = (err_msg == "noexec") | |
| if child_exec_never_called: | |
| err_msg = "" | |
| # The error must be from chdir(cwd). | |
| err_filename = cwd | |
| else: | |
| err_filename = orig_executable | |
| if errno_num != 0: | |
| err_msg = os.strerror(errno_num) | |
| if errno_num == errno.ENOENT: | |
| err_msg += ': ' + repr(err_filename) | |
| > raise child_exception_type(errno_num, err_msg, err_filename) | |
| E FileNotFoundError: [Errno 2] No such file or directory: '/home/fnauman/python3/shenfun/tests/tests': '/home/fnauman/python3/shenfun/tests/tests' | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/subprocess.py:1344: FileNotFoundError | |
| ________________________ test_regular_2D[netcdf-False] _________________________ | |
| backend = 'netcdf', forward_output = False | |
| @pytest.mark.skipif(skip, reason='h5py not installed') | |
| @pytest.mark.parametrize('forward_output', (True, False)) | |
| @pytest.mark.parametrize('backend', ('hdf5', 'netcdf')) | |
| def test_regular_2D(backend, forward_output): | |
| if backend == 'netcdf' and forward_output is True: | |
| return | |
| K0 = Basis(N[0], 'F') | |
| K1 = Basis(N[1], 'C', bc=(0, 0)) | |
| T = TensorProductSpace(comm, (K0, K1)) | |
| filename = 'test2Dr_{}'.format(ex[forward_output]) | |
| > hfile = writer(filename, T, backend=backend) | |
| test_io.py:32: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/__init__.py:31: in ShenfunFile | |
| return NCFile(name+'.nc', T, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/nc_file.py:26: in __init__ | |
| BaseFile.__init__(self, ncname, T, domain=T.mesh(), clobber=clobber, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/mpi4py_fft/utilities/nc_file.py:44: in __init__ | |
| self.f = f = Dataset(ncname, mode=mode, clobber=clobber, parallel=True, comm=comm, **kw) | |
| netCDF4/_netCDF4.pyx:2135: in netCDF4._netCDF4.Dataset.__init__ | |
| ??? | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| > ??? | |
| E OSError: [Errno -128] NetCDF: Attempt to use feature that was not turned on when netCDF was built.: b'test2Dr_r.nc' | |
| netCDF4/_netCDF4.pyx:1752: OSError | |
| _______________________ test_mixed_2D[True-netcdf-False] _______________________ | |
| backend = 'netcdf', forward_output = False, as_scalar = True | |
| @pytest.mark.skipif(skip, reason='h5py not installed') | |
| @pytest.mark.parametrize('forward_output', (True, False)) | |
| @pytest.mark.parametrize('backend', ('hdf5', 'netcdf')) | |
| @pytest.mark.parametrize('as_scalar', (True, False)) | |
| def test_mixed_2D(backend, forward_output, as_scalar): | |
| if backend == 'netcdf' and forward_output is True: | |
| return | |
| K0 = Basis(N[0], 'F') | |
| K1 = Basis(N[1], 'C') | |
| T = TensorProductSpace(comm, (K0, K1)) | |
| TT = MixedTensorProductSpace([T, T]) | |
| filename = 'test2Dm_{}'.format(ex[forward_output]) | |
| > hfile = writer(filename, TT, backend=backend) | |
| test_io.py:57: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/__init__.py:31: in ShenfunFile | |
| return NCFile(name+'.nc', T, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/nc_file.py:26: in __init__ | |
| BaseFile.__init__(self, ncname, T, domain=T.mesh(), clobber=clobber, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/mpi4py_fft/utilities/nc_file.py:44: in __init__ | |
| self.f = f = Dataset(ncname, mode=mode, clobber=clobber, parallel=True, comm=comm, **kw) | |
| netCDF4/_netCDF4.pyx:2135: in netCDF4._netCDF4.Dataset.__init__ | |
| ??? | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| > ??? | |
| E OSError: [Errno -128] NetCDF: Attempt to use feature that was not turned on when netCDF was built.: b'test2Dm_r.nc' | |
| netCDF4/_netCDF4.pyx:1752: OSError | |
| ______________________ test_mixed_2D[False-netcdf-False] _______________________ | |
| backend = 'netcdf', forward_output = False, as_scalar = False | |
| @pytest.mark.skipif(skip, reason='h5py not installed') | |
| @pytest.mark.parametrize('forward_output', (True, False)) | |
| @pytest.mark.parametrize('backend', ('hdf5', 'netcdf')) | |
| @pytest.mark.parametrize('as_scalar', (True, False)) | |
| def test_mixed_2D(backend, forward_output, as_scalar): | |
| if backend == 'netcdf' and forward_output is True: | |
| return | |
| K0 = Basis(N[0], 'F') | |
| K1 = Basis(N[1], 'C') | |
| T = TensorProductSpace(comm, (K0, K1)) | |
| TT = MixedTensorProductSpace([T, T]) | |
| filename = 'test2Dm_{}'.format(ex[forward_output]) | |
| > hfile = writer(filename, TT, backend=backend) | |
| test_io.py:57: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/__init__.py:31: in ShenfunFile | |
| return NCFile(name+'.nc', T, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/nc_file.py:26: in __init__ | |
| BaseFile.__init__(self, ncname, T, domain=T.mesh(), clobber=clobber, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/mpi4py_fft/utilities/nc_file.py:44: in __init__ | |
| self.f = f = Dataset(ncname, mode=mode, clobber=clobber, parallel=True, comm=comm, **kw) | |
| netCDF4/_netCDF4.pyx:2135: in netCDF4._netCDF4.Dataset.__init__ | |
| ??? | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| > ??? | |
| E OSError: [Errno -128] NetCDF: Attempt to use feature that was not turned on when netCDF was built.: b'test2Dm_r.nc' | |
| netCDF4/_netCDF4.pyx:1752: OSError | |
| ________________________ test_regular_3D[netcdf-False] _________________________ | |
| backend = 'netcdf', forward_output = False | |
| @pytest.mark.skipif(skip, reason='h5py not installed') | |
| @pytest.mark.parametrize('forward_output', (True, False)) | |
| @pytest.mark.parametrize('backend', ('hdf5', 'netcdf')) | |
| def test_regular_3D(backend, forward_output): | |
| if backend == 'netcdf' and forward_output is True: | |
| return | |
| K0 = Basis(N[0], 'F', dtype='D', domain=(0, np.pi)) | |
| K1 = Basis(N[1], 'F', dtype='d', domain=(0, 2*np.pi)) | |
| K2 = Basis(N[2], 'C', dtype='d', bc=(0, 0)) | |
| T = TensorProductSpace(comm, (K0, K1, K2)) | |
| filename = 'test3Dr_{}'.format(ex[forward_output]) | |
| > hfile = writer(filename, T, backend=backend) | |
| test_io.py:88: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/__init__.py:31: in ShenfunFile | |
| return NCFile(name+'.nc', T, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/nc_file.py:26: in __init__ | |
| BaseFile.__init__(self, ncname, T, domain=T.mesh(), clobber=clobber, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/mpi4py_fft/utilities/nc_file.py:44: in __init__ | |
| self.f = f = Dataset(ncname, mode=mode, clobber=clobber, parallel=True, comm=comm, **kw) | |
| netCDF4/_netCDF4.pyx:2135: in netCDF4._netCDF4.Dataset.__init__ | |
| ??? | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| > ??? | |
| E OSError: [Errno -128] NetCDF: Attempt to use feature that was not turned on when netCDF was built.: b'test3Dr_r.nc' | |
| netCDF4/_netCDF4.pyx:1752: OSError | |
| _______________________ test_mixed_3D[True-netcdf-False] _______________________ | |
| backend = 'netcdf', forward_output = False, as_scalar = True | |
| @pytest.mark.skipif(skip, reason='h5py not installed') | |
| @pytest.mark.parametrize('forward_output', (True, False)) | |
| @pytest.mark.parametrize('backend', ('hdf5', 'netcdf')) | |
| @pytest.mark.parametrize('as_scalar', (True, False)) | |
| def test_mixed_3D(backend, forward_output, as_scalar): | |
| if backend == 'netcdf' and forward_output is True: | |
| return | |
| K0 = Basis(N[0], 'F', dtype='D', domain=(0, np.pi)) | |
| K1 = Basis(N[1], 'F', dtype='d', domain=(0, 2*np.pi)) | |
| K2 = Basis(N[2], 'C') | |
| T = TensorProductSpace(comm, (K0, K1, K2)) | |
| TT = VectorTensorProductSpace(T) | |
| filename = 'test3Dm_{}'.format(ex[forward_output]) | |
| > hfile = writer(filename, TT, backend=backend) | |
| test_io.py:119: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/__init__.py:31: in ShenfunFile | |
| return NCFile(name+'.nc', T, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/nc_file.py:26: in __init__ | |
| BaseFile.__init__(self, ncname, T, domain=T.mesh(), clobber=clobber, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/mpi4py_fft/utilities/nc_file.py:44: in __init__ | |
| self.f = f = Dataset(ncname, mode=mode, clobber=clobber, parallel=True, comm=comm, **kw) | |
| netCDF4/_netCDF4.pyx:2135: in netCDF4._netCDF4.Dataset.__init__ | |
| ??? | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| > ??? | |
| E OSError: [Errno -128] NetCDF: Attempt to use feature that was not turned on when netCDF was built.: b'test3Dm_r.nc' | |
| netCDF4/_netCDF4.pyx:1752: OSError | |
| ______________________ test_mixed_3D[False-netcdf-False] _______________________ | |
| backend = 'netcdf', forward_output = False, as_scalar = False | |
| @pytest.mark.skipif(skip, reason='h5py not installed') | |
| @pytest.mark.parametrize('forward_output', (True, False)) | |
| @pytest.mark.parametrize('backend', ('hdf5', 'netcdf')) | |
| @pytest.mark.parametrize('as_scalar', (True, False)) | |
| def test_mixed_3D(backend, forward_output, as_scalar): | |
| if backend == 'netcdf' and forward_output is True: | |
| return | |
| K0 = Basis(N[0], 'F', dtype='D', domain=(0, np.pi)) | |
| K1 = Basis(N[1], 'F', dtype='d', domain=(0, 2*np.pi)) | |
| K2 = Basis(N[2], 'C') | |
| T = TensorProductSpace(comm, (K0, K1, K2)) | |
| TT = VectorTensorProductSpace(T) | |
| filename = 'test3Dm_{}'.format(ex[forward_output]) | |
| > hfile = writer(filename, TT, backend=backend) | |
| test_io.py:119: | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/__init__.py:31: in ShenfunFile | |
| return NCFile(name+'.nc', T, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/io/nc_file.py:26: in __init__ | |
| BaseFile.__init__(self, ncname, T, domain=T.mesh(), clobber=clobber, mode=mode, **kw) | |
| ../../../anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/mpi4py_fft/utilities/nc_file.py:44: in __init__ | |
| self.f = f = Dataset(ncname, mode=mode, clobber=clobber, parallel=True, comm=comm, **kw) | |
| netCDF4/_netCDF4.pyx:2135: in netCDF4._netCDF4.Dataset.__init__ | |
| ??? | |
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
| > ??? | |
| E OSError: [Errno -128] NetCDF: Attempt to use feature that was not turned on when netCDF was built.: b'test3Dm_r.nc' | |
| netCDF4/_netCDF4.pyx:1752: OSError | |
| =============================== warnings summary =============================== | |
| /home/fnauman/anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/forms/arguments.py:510 | |
| /home/fnauman/anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/forms/arguments.py:510: PytestWarning: cannot collect test class 'TestFunction' because it has a __init__ constructor | |
| class TestFunction(BasisFunction): | |
| /home/fnauman/anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/h5py/__init__.py:34 | |
| /home/fnauman/anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. | |
| from ._conv import register_converters as _register_converters | |
| /home/fnauman/anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/h5py/tests/old/test_attrs_data.py:251 | |
| /home/fnauman/anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/h5py/tests/old/test_attrs_data.py:251: DeprecationWarning: invalid escape sequence \H | |
| s = b"Hello\x00\Hello" | |
| /home/fnauman/anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/forms/arguments.py:510 | |
| /home/fnauman/anaconda3/envs/shenfun_prec/lib/python3.6/site-packages/shenfun/forms/arguments.py:510: PytestWarning: cannot collect test class 'TestFunction' because it has a __init__ constructor | |
| class TestFunction(BasisFunction): | |
| tests/test_la.py::test_solve[GC] | |
| /home/fnauman/.local/lib/python3.6/site-packages/scipy/sparse/linalg/dsolve/linsolve.py:133: SparseEfficiencyWarning: spsolve requires A be CSC or CSR matrix format | |
| SparseEfficiencyWarning) | |
| tests/test_la.py::test_solve[GL] | |
| /home/fnauman/.local/lib/python3.6/site-packages/scipy/sparse/linalg/dsolve/linsolve.py:133: SparseEfficiencyWarning: spsolve requires A be CSC or CSR matrix format | |
| SparseEfficiencyWarning) | |
| -- Docs: https://docs.pytest.org/en/latest/warnings.html | |
| ============== 7 failed, 3556 passed, 6 warnings in 70.22 seconds ============== |
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