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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 ModelTriggeringOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsModelTriggeringOptions(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = ModelTriggeringOptions()
x.Init(buf, n + offset)
return x
@classmethod
def ModelTriggeringOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x43\x32\x20", size_prefixed=size_prefixed)
# ModelTriggeringOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# ModelTriggeringOptions
def MinAnnotateConfidence(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
return 0.0
# ModelTriggeringOptions
def EnabledModes(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 7
# ModelTriggeringOptions
def DictionaryLocales(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.String(o + self._tab.Pos)
return None
# ModelTriggeringOptions
def Locales(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.String(o + self._tab.Pos)
return None
# ModelTriggeringOptions
def OtherCollectionPriorityScore(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
return -1000.0
# ModelTriggeringOptions
def KnowledgePriorityScore(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
return 0.0
# ModelTriggeringOptions
def CollectionToPriority(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
x = self._tab.Vector(o)
x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
x = self._tab.Indirect(x)
from libtextclassifier3.ModelTriggeringOptions_.CollectionToPriorityEntry import CollectionToPriorityEntry
obj = CollectionToPriorityEntry()
obj.Init(self._tab.Bytes, x)
return obj
return None
# ModelTriggeringOptions
def CollectionToPriorityLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
return self._tab.VectorLen(o)
return 0
# ModelTriggeringOptions
def CollectionToPriorityIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
return o == 0
def ModelTriggeringOptionsStart(builder): builder.StartObject(8)
def ModelTriggeringOptionsAddMinAnnotateConfidence(builder, minAnnotateConfidence): builder.PrependFloat32Slot(0, minAnnotateConfidence, 0.0)
def ModelTriggeringOptionsAddEnabledModes(builder, enabledModes): builder.PrependInt32Slot(1, enabledModes, 7)
def ModelTriggeringOptionsAddDictionaryLocales(builder, dictionaryLocales): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(dictionaryLocales), 0)
def ModelTriggeringOptionsAddLocales(builder, locales): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(locales), 0)
def ModelTriggeringOptionsAddOtherCollectionPriorityScore(builder, otherCollectionPriorityScore): builder.PrependFloat32Slot(4, otherCollectionPriorityScore, -1000.0)
def ModelTriggeringOptionsAddKnowledgePriorityScore(builder, knowledgePriorityScore): builder.PrependFloat32Slot(5, knowledgePriorityScore, 0.0)
def ModelTriggeringOptionsAddCollectionToPriority(builder, collectionToPriority): builder.PrependUOffsetTRelativeSlot(7, flatbuffers.number_types.UOffsetTFlags.py_type(collectionToPriority), 0)
def ModelTriggeringOptionsStartCollectionToPriorityVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def ModelTriggeringOptionsEnd(builder): return builder.EndObject()
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