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- # Copyright 2014 Google Inc. All rights reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- from . import number_types as N
- from . import packer
- from .compat import memoryview_type
- from .compat import NumpyRequiredForThisFeature, import_numpy
- np = import_numpy()
- FILE_IDENTIFIER_LENGTH = 4
- def Get(packer_type, buf, head):
- """Get decodes a value at buf[head] using `packer_type`."""
- return packer_type.unpack_from(memoryview_type(buf), head)[0]
- def GetVectorAsNumpy(numpy_type, buf, count, offset):
- """GetVecAsNumpy decodes values starting at buf[head] as
- `numpy_type`, where `numpy_type` is a numpy dtype.
- """
- if np is not None:
- # TODO: could set .flags.writeable = False to make users jump through
- # hoops before modifying...
- return np.frombuffer(buf, dtype=numpy_type, count=count, offset=offset)
- else:
- raise NumpyRequiredForThisFeature('Numpy was not found.')
- def Write(packer_type, buf, head, n):
- """Write encodes `n` at buf[head] using `packer_type`."""
- packer_type.pack_into(buf, head, n)
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