19/libtextclassifier3/RegexModel_/Pattern.py

# automatically generated by the FlatBuffers compiler, do not modify

# namespace: RegexModel_

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

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

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

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

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

    # Pattern
    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

    # Pattern
    def Pattern(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.String(o + self._tab.Pos)
        return None

    # Pattern
    def EnabledModes(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
        return 7

    # Pattern
    def TargetClassificationScore(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
        return 1.0

    # Pattern
    def PriorityScore(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 0.0

    # Pattern
    def UseApproximateMatching(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # Pattern
    def CompressedPattern(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.CompressedBuffer import CompressedBuffer
            obj = CompressedBuffer()
            obj.Init(self._tab.Bytes, x)
            return obj
        return None

    # Pattern
    def VerificationOptions(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
        if o != 0:
            x = self._tab.Indirect(o + self._tab.Pos)
            from libtextclassifier3.VerificationOptions import VerificationOptions
            obj = VerificationOptions()
            obj.Init(self._tab.Bytes, x)
            return obj
        return None

    # Pattern
    def CapturingGroup(self, j):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(20))
        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

    # Pattern
    def CapturingGroupLength(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(20))
        if o != 0:
            return self._tab.VectorLen(o)
        return 0

    # Pattern
    def CapturingGroupIsNone(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(20))
        return o == 0

    # Pattern
    def SerializedEntityData(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(22))
        if o != 0:
            return self._tab.String(o + self._tab.Pos)
        return None

    # Pattern
    def EntityData(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
        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 PatternStart(builder): builder.StartObject(11)
def PatternAddCollectionName(builder, collectionName): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(collectionName), 0)
def PatternAddPattern(builder, pattern): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(pattern), 0)
def PatternAddEnabledModes(builder, enabledModes): builder.PrependInt32Slot(2, enabledModes, 7)
def PatternAddTargetClassificationScore(builder, targetClassificationScore): builder.PrependFloat32Slot(3, targetClassificationScore, 1.0)
def PatternAddPriorityScore(builder, priorityScore): builder.PrependFloat32Slot(4, priorityScore, 0.0)
def PatternAddUseApproximateMatching(builder, useApproximateMatching): builder.PrependBoolSlot(5, useApproximateMatching, 0)
def PatternAddCompressedPattern(builder, compressedPattern): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(compressedPattern), 0)
def PatternAddVerificationOptions(builder, verificationOptions): builder.PrependUOffsetTRelativeSlot(7, flatbuffers.number_types.UOffsetTFlags.py_type(verificationOptions), 0)
def PatternAddCapturingGroup(builder, capturingGroup): builder.PrependUOffsetTRelativeSlot(8, flatbuffers.number_types.UOffsetTFlags.py_type(capturingGroup), 0)
def PatternStartCapturingGroupVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def PatternAddSerializedEntityData(builder, serializedEntityData): builder.PrependUOffsetTRelativeSlot(9, flatbuffers.number_types.UOffsetTFlags.py_type(serializedEntityData), 0)
def PatternAddEntityData(builder, entityData): builder.PrependUOffsetTRelativeSlot(10, flatbuffers.number_types.UOffsetTFlags.py_type(entityData), 0)
def PatternEnd(builder): return builder.EndObject()