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Print fixes for Python 3

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This commit is contained in:
Mike Croucher 2015-02-27 19:03:45 +00:00
parent 4c3d68b761
commit 09c93e62d0
8 changed files with 90 additions and 90 deletions
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26
GPy/testing/kernel_tests.py
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@ -37,7 +37,7 @@ class Kern_check_model(GPy.core.Model):
def is_positive_semi_definite(self):
v = np.linalg.eig(self.kernel.K(self.X))[0]
if any(v.real<=-1e-10):
print v.real.min()
print(v.real.min())
return False
else:
return True
@ -126,7 +126,7 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
if result and verbose:
print("Check passed.")
if not result:
print("Positive definite check failed for " + kern.name + " covariance function.")
print(("Positive definite check failed for " + kern.name + " covariance function."))
pass_checks = False
assert(result)
return False
@ -137,7 +137,7 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
if result and verbose:
print("Check passed.")
if not result:
print("Gradient of K(X, X) wrt theta failed for " + kern.name + " covariance function. Gradient values as follows:")
print(("Gradient of K(X, X) wrt theta failed for " + kern.name + " covariance function. Gradient values as follows:"))
Kern_check_dK_dtheta(kern, X=X, X2=None).checkgrad(verbose=True)
pass_checks = False
assert(result)
@ -149,7 +149,7 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
if result and verbose:
print("Check passed.")
if not result:
print("Gradient of K(X, X) wrt theta failed for " + kern.name + " covariance function. Gradient values as follows:")
print(("Gradient of K(X, X) wrt theta failed for " + kern.name + " covariance function. Gradient values as follows:"))
Kern_check_dK_dtheta(kern, X=X, X2=X2).checkgrad(verbose=True)
pass_checks = False
assert(result)
@ -162,11 +162,11 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
except NotImplementedError:
result=True
if verbose:
print("update_gradients_diag not implemented for " + kern.name)
print(("update_gradients_diag not implemented for " + kern.name))
if result and verbose:
print("Check passed.")
if not result:
print("Gradient of Kdiag(X) wrt theta failed for " + kern.name + " covariance function. Gradient values as follows:")
print(("Gradient of Kdiag(X) wrt theta failed for " + kern.name + " covariance function. Gradient values as follows:"))
Kern_check_dKdiag_dtheta(kern, X=X).checkgrad(verbose=True)
pass_checks = False
assert(result)
@ -182,11 +182,11 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
except NotImplementedError:
result=True
if verbose:
print("gradients_X not implemented for " + kern.name)
print(("gradients_X not implemented for " + kern.name))
if result and verbose:
print("Check passed.")
if not result:
print("Gradient of K(X, X) wrt X failed for " + kern.name + " covariance function. Gradient values as follows:")
print(("Gradient of K(X, X) wrt X failed for " + kern.name + " covariance function. Gradient values as follows:"))
testmodel.checkgrad(verbose=True)
import ipdb;ipdb.set_trace()
assert(result)
@ -203,11 +203,11 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
except NotImplementedError:
result=True
if verbose:
print("gradients_X not implemented for " + kern.name)
print(("gradients_X not implemented for " + kern.name))
if result and verbose:
print("Check passed.")
if not result:
print("Gradient of K(X, X2) wrt X failed for " + kern.name + " covariance function. Gradient values as follows:")
print(("Gradient of K(X, X2) wrt X failed for " + kern.name + " covariance function. Gradient values as follows:"))
testmodel.checkgrad(verbose=True)
assert(result)
pass_checks = False
@ -223,11 +223,11 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
except NotImplementedError:
result=True
if verbose:
print("gradients_X not implemented for " + kern.name)
print(("gradients_X not implemented for " + kern.name))
if result and verbose:
print("Check passed.")
if not result:
print("Gradient of Kdiag(X) wrt X failed for " + kern.name + " covariance function. Gradient values as follows:")
print(("Gradient of Kdiag(X) wrt X failed for " + kern.name + " covariance function. Gradient values as follows:"))
Kern_check_dKdiag_dX(kern, X=X).checkgrad(verbose=True)
pass_checks = False
assert(result)
@ -404,7 +404,7 @@ class Coregionalize_weave_test(unittest.TestCase):
if __name__ == "__main__":
print "Running unit tests, please be (very) patient..."
print("Running unit tests, please be (very) patient...")
unittest.main()
# np.random.seed(0)
# N0 = 3