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| import flatbuffers |
| from flatbuffers.compat import import_numpy |
| np = import_numpy() |
|
|
| class SelectionModelOptions(object): |
| __slots__ = ['_tab'] |
|
|
| @classmethod |
| def GetRootAsSelectionModelOptions(cls, buf, offset): |
| n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) |
| x = SelectionModelOptions() |
| x.Init(buf, n + offset) |
| return x |
|
|
| @classmethod |
| def SelectionModelOptionsBufferHasIdentifier(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 StripUnpairedBrackets(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
| if o != 0: |
| return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos)) |
| return True |
|
|
| |
| def SymmetryContextSize(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) |
| if o != 0: |
| return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) |
| return 0 |
|
|
| |
| def BatchSize(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) |
| if o != 0: |
| return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) |
| return 1024 |
|
|
| |
| def AlwaysClassifySuggestedSelection(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) |
| if o != 0: |
| return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos)) |
| return False |
|
|
| def SelectionModelOptionsStart(builder): builder.StartObject(4) |
| def SelectionModelOptionsAddStripUnpairedBrackets(builder, stripUnpairedBrackets): builder.PrependBoolSlot(0, stripUnpairedBrackets, 1) |
| def SelectionModelOptionsAddSymmetryContextSize(builder, symmetryContextSize): builder.PrependInt32Slot(1, symmetryContextSize, 0) |
| def SelectionModelOptionsAddBatchSize(builder, batchSize): builder.PrependInt32Slot(2, batchSize, 1024) |
| def SelectionModelOptionsAddAlwaysClassifySuggestedSelection(builder, alwaysClassifySuggestedSelection): builder.PrependBoolSlot(3, alwaysClassifySuggestedSelection, 0) |
| def SelectionModelOptionsEnd(builder): return builder.EndObject() |
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