def connect_to_matlab():
mlab = pymat.Matlab()
mlab.start()
npt.assert_(mlab.is_connected(),
msg="connect_to_matlab(): Connection failed")
return mlab
def connect_to_matlab():
mlab = pymat.Octave() if on_octave() else pymat.Matlab(log=True)
mlab.start()
npt.assert_(mlab.is_connected(),
msg="connect_to_matlab(): Connection failed")
return mlab
def __init__(self, shell,
matlab='matlab',
maxtime=60,
pyconverter=np.asarray,
cache_display_data=False):
"""
Parameters
----------
shell : IPython shell
matlab : str
The system call to start a matlab session. Allows you to choose a
particular version of matlab if you want
maxtime : float
The maximal time to wait for responses for matlab (in seconds).
Default: 10 seconds.
pyconverter : callable
To be called on matlab variables returning into the ipython
namespace
cache_display_data : bool
If True, the published results of the final call to R are
cached in the variable 'display_cache'.
"""
super(MatlabMagics, self).__init__(shell)
self.cache_display_data = cache_display_data
self.Matlab = pymat.Matlab(matlab, maxtime=maxtime)
self.Matlab.start()
self.pyconverter = pyconverter
def __init__(self, shell,
matlab='matlab',
maxtime=60,
pyconverter=np.asarray):
"""
Parameters
----------
shell : IPython shell
matlab : str
The system call to start a matlab session. Allows you to choose a
particular version of matlab if you want
maxtime : float
The maximal time to wait for responses for matlab (in seconds).
Default: 10 seconds.
pyconverter : callable
To be called on matlab variables returning into the ipython
namespace
"""
super(MatlabMagics, self).__init__(shell)
if 'octave' in matlab.lower():
self.Matlab = pymat.Octave(matlab, maxtime=maxtime)
else:
self.Matlab = pymat.Matlab(matlab, maxtime=maxtime)
self.Matlab.start()
self.pyconverter = pyconverter
def __init__(self,
shell,
matlab='matlab',
pyconverter=np.asarray,
**kwargs):
"""
Parameters
----------
shell : IPython shell
matlab : str
The system call to start a matlab session. Allows you to choose a
particular version of matlab if you want
pyconverter : callable
To be called on matlab variables returning into the ipython
namespace
kwargs: additional key-word arguments to pass to initialization of
the Matlab/Octave process
"""
super(MatlabMagics, self).__init__(shell)
if 'octave' in matlab.lower():
self.Matlab = pymat.Octave(matlab, **kwargs)
else:
self.Matlab = pymat.Matlab(matlab, **kwargs)
self.Matlab.start()
self.pyconverter = pyconverter
def __init__(self, cdata, camera_nb=0, camera_type='tomokth'):
"""Initializes a MATLAB/Octave session and other parameters"""
self.path = os.path.join(_here, '_calibr')
try:
self.pymat = pymatbridge.Matlab()
self.pylab.start()
except:
self.pymat = pymatbridge.Octave()
self.pymat.start()
self.pymat.run_code('addpath({})'.format(self.path))
if isinstance(cdata, CalibrationData):
self.cdata = cdata
else:
raise ValueError('data must be an instance of CalibrationData')
self.camera_nb = camera_nb
self.camera_type = camera_type
journal = {Journal of Machine Learning Research},
year = {2014},
volume = {15},
pages = {2833-2868},
}
"""
import math
import pymatbridge
PYM_PATH = "/Users/canjo/src/PYMentropy/src/"
LOG2 = math.log(2)
INF = float('inf')
M = pymatbridge.Matlab()
M.start()
class MatlabException(Exception):
pass
def matlabfunc(path, nargout):
def f(*args):
result_obj = M.run_func(path, *args, nargout=nargout)
if result_obj['success']:
return result_obj['result']
else:
raise MatlabException(result_obj)