Created
January 29, 2019 07:30
-
-
Save fnauman/8e51f41316710a8621e5d5cdb864c9ea to your computer and use it in GitHub Desktop.
shenfun error
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| 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%] | |
| test_matrices.py ....................................................... [ 3%] | |
| ........................................................................ [ 5%] | |
| ........................................................................ [ 7%] | |
| ........................................................................ [ 9%] | |
| ........................................................................ [ 11%] | |
| ........................................................................ [ 13%] | |
| ........................................................................ [ 15%] | |
| ........................................................................ [ 17%] | |
| ........................................................................ [ 19%] | |
| ........................................................................ [ 21%] | |
| ........................................................................ [ 23%] | |
| ........................................................................ [ 25%] | |
| ........................................................................ [ 27%] | |
| ........................................................................ [ 29%] | |
| ........................................................................ [ 31%] | |
| ........................................................................ [ 33%] | |
| ........................................................................ [ 35%] | |
| ........................................................................ [ 37%] | |
| ........................................................................ [ 39%] | |
| ........................................................................ [ 41%] | |
| ........................................................................ [ 43%] | |
| ........................................................................ [ 45%] | |
| ........................................................................ [ 47%] | |
| ........................................................................ [ 49%] | |
| ........................................................................ [ 51%] | |
| ........................................................................ [ 53%] | |
| ........................................................................ [ 55%] | |
| ........................................................................ [ 57%] | |
| ........................................................................ [ 59%] | |
| ........................................................................ [ 61%] | |
| ........................................................................ [ 63%] | |
| ........................................................................ [ 65%] | |
| ........................................................................ [ 67%] | |
| ........................................................................ [ 69%] | |
| ........................................................................ [ 71%] | |
| ........................................................................ [ 73%] | |
| ........................................................................ [ 76%] | |
| ........................................................................ [ 78%] | |
| ........................................................................ [ 80%] | |
| ........................................................................ [ 82%] | |
| ........................................................................ [ 84%] | |
| ........................................................................ [ 86%] | |
| ........................................................................ [ 88%] | |
| ....... [ 88%] | |
| test_tensorproductspace.py ............................................. [ 89%] | |
| ........................................................................ [ 91%] | |
| ........................................................................ [ 93%] | |
| ..... [ 93%] | |
| test_transforms.py ..................................................... [ 95%] | |
| ........................................................................ [ 97%] | |
| ........................................................................ [ 99%] | |
| ......................... [100%] | |
| =================================== 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 ============== |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment