# 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()