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