|
|
|
|
|
|
|
|
|
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) |
|
|
|
|
|
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() |
|
|