19/libtextclassifier3/GrammarModel_/RuleClassificationResult.py

# automatically generated by the FlatBuffers compiler, do not modify

# namespace: GrammarModel_

import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()

class RuleClassificationResult(object):
    __slots__ = ['_tab']

    @classmethod
    def GetRootAsRuleClassificationResult(cls, buf, offset):
        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
        x = RuleClassificationResult()
        x.Init(buf, n + offset)
        return x

    @classmethod
    def RuleClassificationResultBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x43\x32\x20", size_prefixed=size_prefixed)

    # RuleClassificationResult
    def Init(self, buf, pos):
        self._tab = flatbuffers.table.Table(buf, pos)

    # RuleClassificationResult
    def CollectionName(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
        if o != 0:
            return self._tab.String(o + self._tab.Pos)
        return None

    # RuleClassificationResult
    def TargetClassificationScore(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
        return 1.0

    # RuleClassificationResult
    def PriorityScore(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
        return 0.0

    # RuleClassificationResult
    def CapturingGroup(self, j):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            x = self._tab.Vector(o)
            x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
            x = self._tab.Indirect(x)
            from libtextclassifier3.CapturingGroup import CapturingGroup
            obj = CapturingGroup()
            obj.Init(self._tab.Bytes, x)
            return obj
        return None

    # RuleClassificationResult
    def CapturingGroupLength(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return self._tab.VectorLen(o)
        return 0

    # RuleClassificationResult
    def CapturingGroupIsNone(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        return o == 0

    # RuleClassificationResult
    def SerializedEntityData(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
        if o != 0:
            return self._tab.String(o + self._tab.Pos)
        return None

    # RuleClassificationResult
    def EnabledModes(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
        return 7

    # RuleClassificationResult
    def EntityData(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
        if o != 0:
            x = self._tab.Indirect(o + self._tab.Pos)
            from libtextclassifier3.EntityData import EntityData
            obj = EntityData()
            obj.Init(self._tab.Bytes, x)
            return obj
        return None

def RuleClassificationResultStart(builder): builder.StartObject(7)
def RuleClassificationResultAddCollectionName(builder, collectionName): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(collectionName), 0)
def RuleClassificationResultAddTargetClassificationScore(builder, targetClassificationScore): builder.PrependFloat32Slot(1, targetClassificationScore, 1.0)
def RuleClassificationResultAddPriorityScore(builder, priorityScore): builder.PrependFloat32Slot(2, priorityScore, 0.0)
def RuleClassificationResultAddCapturingGroup(builder, capturingGroup): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(capturingGroup), 0)
def RuleClassificationResultStartCapturingGroupVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def RuleClassificationResultAddSerializedEntityData(builder, serializedEntityData): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(serializedEntityData), 0)
def RuleClassificationResultAddEnabledModes(builder, enabledModes): builder.PrependInt32Slot(5, enabledModes, 7)
def RuleClassificationResultAddEntityData(builder, entityData): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(entityData), 0)
def RuleClassificationResultEnd(builder): return builder.EndObject()