# # Copyright 2016 Pixar # # Licensed under the Apache License, Version 2.0 (the "Apache License") # with the following modification; you may not use this file except in # compliance with the Apache License and the following modification to it: # Section 6. Trademarks. is deleted and replaced with: # # 6. Trademarks. This License does not grant permission to use the trade # names, trademarks, service marks, or product names of the Licensor # and its affiliates, except as required to comply with Section 4(c) of # the License and to reproduce the content of the NOTICE file. # # You may obtain a copy of the Apache License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the Apache License with the above modification is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the Apache License for the specific # language governing permissions and limitations under the Apache License. # """Vt Value Types library This package defines classes for creating objects that behave like value types. It contains facilities for creating simple copy-on-write implicitly shared types. """ from . import _vt from pxr import Tf Tf.PrepareModule(_vt, locals()) del _vt, Tf try: from . import __DOC __DOC.Execute(locals()) del __DOC except Exception: pass # For ease-of-use, put each XXXArrayFromBuffer method on its corresponding array # wrapper class, also alias it as 'FromNumpy' for compatibility. def _CopyArrayFromBufferFuncs(moduleContents): funcs = dict([(key, val) for (key, val) in moduleContents.items() if key.endswith('FromBuffer')]) classes = dict([(key, val) for (key, val) in moduleContents.items() if key.endswith('Array') and isinstance(val, type)]) for funcName, func in funcs.items(): className = funcName[:-len('FromBuffer')] cls = classes.get(className) if cls: setattr(cls, 'FromBuffer', staticmethod(func)) setattr(cls, 'FromNumpy', staticmethod(func)) _CopyArrayFromBufferFuncs(dict(vars())) del _CopyArrayFromBufferFuncs