# automatically generated by the FlatBuffers compiler, do not modify # namespace: libtextclassifier3 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) # DatetimeModelLibrary def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # DatetimeModelLibrary 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 # DatetimeModelLibrary def ModelsLength(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: return self._tab.VectorLen(o) return 0 # DatetimeModelLibrary 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()