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Exception fixes for Python 3 compat

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This commit is contained in:
Mike Croucher 2015-02-26 14:23:12 +00:00
parent 2b8ef1041b
commit 74f8caba2b
8 changed files with 15 additions and 15 deletions
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4
GPy/plotting/matplot_dep/base_plots.py
View file

@ -133,7 +133,7 @@ def x_frame1D(X,plot_limits=None,resolution=None):
elif len(plot_limits)==2:
xmin, xmax = plot_limits
else:
raise ValueError, "Bad limits for plotting"
raise ValueError("Bad limits for plotting")
Xnew = np.linspace(xmin,xmax,resolution or 200)[:,None]
return Xnew, xmin, xmax
@ -149,7 +149,7 @@ def x_frame2D(X,plot_limits=None,resolution=None):
elif len(plot_limits)==2:
xmin, xmax = plot_limits
else:
raise ValueError, "Bad limits for plotting"
raise ValueError("Bad limits for plotting")
resolution = resolution or 50
xx,yy = np.mgrid[xmin[0]:xmax[0]:1j*resolution,xmin[1]:xmax[1]:1j*resolution]

4
GPy/plotting/matplot_dep/dim_reduction_plots.py
View file

@ -27,7 +27,7 @@ def most_significant_input_dimensions(model, which_indices):
try:
input_1, input_2 = np.argsort(model.input_sensitivity())[::-1][:2]
except:
raise ValueError, "cannot automatically determine which dimensions to plot, please pass 'which_indices'"
raise ValueError("cannot automatically determine which dimensions to plot, please pass 'which_indices'")
else:
input_1, input_2 = which_indices
return input_1, input_2
@ -133,7 +133,7 @@ def plot_latent(model, labels=None, which_indices=None,
try:
xmin, xmax, ymin, ymax = plot_limits
except (TypeError, ValueError) as e:
raise e.__class__, "Wrong plot limits: {} given -> need (xmin, xmax, ymin, ymax)".format(plot_limits)
raise e.__class__("Wrong plot limits: {} given -> need (xmin, xmax, ymin, ymax)".format(plot_limits))
view = ImshowController(ax, plot_function,
(xmin, ymin, xmax, ymax),
resolution, aspect=aspect, interpolation='bilinear',

6
GPy/plotting/matplot_dep/kernel_plots.py
View file

@ -132,7 +132,7 @@ def plot(kernel,x=None, fignum=None, ax=None, title=None, plot_limits=None, reso
elif len(plot_limits) == 2:
xmin, xmax = plot_limits
else:
raise ValueError, "Bad limits for plotting"
raise ValueError("Bad limits for plotting")
Xnew = np.linspace(xmin, xmax, resolution or 201)[:, None]
Kx = kernel.K(Xnew, x)
@ -154,7 +154,7 @@ def plot(kernel,x=None, fignum=None, ax=None, title=None, plot_limits=None, reso
elif len(plot_limits) == 2:
xmin, xmax = plot_limits
else:
raise ValueError, "Bad limits for plotting"
raise ValueError("Bad limits for plotting")
resolution = resolution or 51
xx, yy = np.mgrid[xmin[0]:xmax[0]:1j * resolution, xmin[1]:xmax[1]:1j * resolution]
@ -168,4 +168,4 @@ def plot(kernel,x=None, fignum=None, ax=None, title=None, plot_limits=None, reso
ax.set_ylabel("x2")
ax.set_title("k(x1,x2 ; %0.1f,%0.1f)" % (x[0, 0], x[0, 1]))
else:
raise NotImplementedError, "Cannot plot a kernel with more than two input dimensions"
raise NotImplementedError("Cannot plot a kernel with more than two input dimensions")

2
GPy/plotting/matplot_dep/mapping_plots.py
View file

@ -81,4 +81,4 @@ def plot_mapping(self, plot_limits=None, which_data='all', which_parts='all', re
ax.set_ylim(xmin[1], xmax[1])
else:
raise NotImplementedError, "Cannot define a frame with more than two input dimensions"
raise NotImplementedError("Cannot define a frame with more than two input dimensions")

2
GPy/plotting/matplot_dep/models_plots.py
View file

@ -175,7 +175,7 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
plots['inducing_inputs'] = ax.plot(Zu[:,0], Zu[:,1], 'wo')
else:
raise NotImplementedError, "Cannot define a frame with more than two input dimensions"
raise NotImplementedError("Cannot define a frame with more than two input dimensions")
return plots
def plot_fit_f(model, *args, **kwargs):

2
GPy/plotting/matplot_dep/priors_plots.py
View file

@ -29,4 +29,4 @@ def plot(prior):
pb.contour(xx, yy, zz, linewidths=2)
else:
raise NotImplementedError, "Cannot define a frame with more than two input dimensions"
raise NotImplementedError("Cannot define a frame with more than two input dimensions")

8
GPy/plotting/matplot_dep/visualize.py
View file

@ -25,10 +25,10 @@ class data_show:
# If no axes are defined, create some.
def modify(self, vals):
raise NotImplementedError, "this needs to be implemented to use the data_show class"
raise NotImplementedError("this needs to be implemented to use the data_show class")
def close(self):
raise NotImplementedError, "this needs to be implemented to use the data_show class"
raise NotImplementedError("this needs to be implemented to use the data_show class")
class vpython_show(data_show):
"""
@ -403,7 +403,7 @@ class mocap_data_show_vpython(vpython_show):
self.modify_vertices()
def process_values(self):
raise NotImplementedError, "this needs to be implemented to use the data_show class"
raise NotImplementedError("this needs to be implemented to use the data_show class")
class mocap_data_show(matplotlib_show):
"""Base class for visualizing motion capture data."""
@ -455,7 +455,7 @@ class mocap_data_show(matplotlib_show):
self.axes.figure.canvas.draw()
def process_values(self):
raise NotImplementedError, "this needs to be implemented to use the data_show class"
raise NotImplementedError("this needs to be implemented to use the data_show class")
def initialize_axes(self, boundary=0.05):
"""Set up the axes with the right limits and scaling."""