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| import flatbuffers |
| from flatbuffers.compat import import_numpy |
| np = import_numpy() |
|
|
| class DatetimeModelLibrary(object): |
| __slots__ = ['_tab'] |
|
|
| @classmethod |
| def GetRootAsDatetimeModelLibrary(cls, buf, offset): |
| n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) |
| x = DatetimeModelLibrary() |
| x.Init(buf, n + offset) |
| return x |
|
|
| @classmethod |
| def DatetimeModelLibraryBufferHasIdentifier(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) |
|
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| |
| def Models(self, j): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
| if o != 0: |
| x = self._tab.Vector(o) |
| x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4 |
| x = self._tab.Indirect(x) |
| from libtextclassifier3.DatetimeModelLibrary_.Item import Item |
| obj = Item() |
| obj.Init(self._tab.Bytes, x) |
| return obj |
| return None |
|
|
| |
| def ModelsLength(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
| if o != 0: |
| return self._tab.VectorLen(o) |
| return 0 |
|
|
| |
| def ModelsIsNone(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
| return o == 0 |
|
|
| def DatetimeModelLibraryStart(builder): builder.StartObject(1) |
| def DatetimeModelLibraryAddModels(builder, models): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(models), 0) |
| def DatetimeModelLibraryStartModelsVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
| def DatetimeModelLibraryEnd(builder): return builder.EndObject() |
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