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# 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()
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