Source code for pymor.core.exceptions

# This file is part of the pyMOR project (
# Copyright 2013-2020 pyMOR developers and contributors. All rights reserved.
# License: BSD 2-Clause License (

import warnings

warn = warnings.warn

[docs]class ConstError(Exception): """I get thrown when you try to add a new member to a locked class instance""" pass
[docs]class AccuracyError(Exception): """Is raised if the result of a computation is inaccurate"""
[docs]class ExtensionError(Exception): """Is raised if a (basis) extension algorithm fails. This will mostly happen during a basis extension when the new snapshot is already in the span of the basis. """
[docs]class InversionError(Exception): """Is raised if an operator inversion algorithm fails."""
[docs]class LinAlgError(Exception): """Is raised if a linear algebra operation fails."""
[docs]class NewtonError(Exception): """Is raised if the Newton algorithm fails to converge."""
[docs]class CacheKeyGenerationError(Exception): """Is raised when cache key generation fails due to unspported arguments."""
[docs]class GmshMissing(Exception): """Is raised when a Gmsh is not found."""
[docs]class MeshioMissing(Exception): """Is raised when meshio is not available."""
[docs]class ImageCollectionError(Exception): """Is raised when a pymor.algorithms.image.estimate_image fails for given operator.""" def __init__(self, op): super().__init__(f'Cannot estimage image for {op}') self.op = op
[docs]class NeuralNetworkTrainingFailed(Exception): """Is raised when training of a neural network fails."""
[docs]class QtMissing(ImportError): """Raise me where having importable Qt bindings is non-optional""" def __init__(self, msg=None): msg = msg or 'cannot visualize: import of Qt bindings failed' super().__init__(msg)
[docs]class TorchMissing(ImportError): """Raise me where having importable torch version is non-optional""" def __init__(self, msg=None): msg = msg or 'cannot use neural networks: import of torch failed' super().__init__(msg)
[docs]class RuleNotMatchingError(NotImplementedError): pass
[docs]class NoMatchingRuleError(NotImplementedError): def __init__(self, obj): super().__init__(f'No rule could be applied to {obj}') self.obj = obj