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import flatbuffers |
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from flatbuffers.compat import import_numpy |
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np = import_numpy() |
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class OutputOptions(object): |
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__slots__ = ['_tab'] |
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@classmethod |
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def GetRootAsOutputOptions(cls, buf, offset): |
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n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) |
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x = OutputOptions() |
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x.Init(buf, n + offset) |
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return x |
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@classmethod |
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def OutputOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False): |
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return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x43\x32\x20", size_prefixed=size_prefixed) |
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def Init(self, buf, pos): |
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self._tab = flatbuffers.table.Table(buf, pos) |
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def FilteredCollectionsAnnotation(self, j): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
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if o != 0: |
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a = self._tab.Vector(o) |
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return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) |
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return "" |
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def FilteredCollectionsAnnotationLength(self): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
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if o != 0: |
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return self._tab.VectorLen(o) |
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return 0 |
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def FilteredCollectionsAnnotationIsNone(self): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
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return o == 0 |
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def FilteredCollectionsClassification(self, j): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) |
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if o != 0: |
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a = self._tab.Vector(o) |
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return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) |
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return "" |
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def FilteredCollectionsClassificationLength(self): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) |
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if o != 0: |
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return self._tab.VectorLen(o) |
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return 0 |
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def FilteredCollectionsClassificationIsNone(self): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) |
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return o == 0 |
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def FilteredCollectionsSelection(self, j): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) |
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if o != 0: |
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a = self._tab.Vector(o) |
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return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) |
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return "" |
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def FilteredCollectionsSelectionLength(self): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) |
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if o != 0: |
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return self._tab.VectorLen(o) |
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return 0 |
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def FilteredCollectionsSelectionIsNone(self): |
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) |
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return o == 0 |
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def OutputOptionsStart(builder): builder.StartObject(3) |
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def OutputOptionsAddFilteredCollectionsAnnotation(builder, filteredCollectionsAnnotation): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(filteredCollectionsAnnotation), 0) |
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def OutputOptionsStartFilteredCollectionsAnnotationVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
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def OutputOptionsAddFilteredCollectionsClassification(builder, filteredCollectionsClassification): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(filteredCollectionsClassification), 0) |
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def OutputOptionsStartFilteredCollectionsClassificationVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
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def OutputOptionsAddFilteredCollectionsSelection(builder, filteredCollectionsSelection): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(filteredCollectionsSelection), 0) |
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def OutputOptionsStartFilteredCollectionsSelectionVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
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def OutputOptionsEnd(builder): return builder.EndObject() |
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