19/libtextclassifier3/RegexModel.py

# automatically generated by the FlatBuffers compiler, do not modify

# namespace: libtextclassifier3

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

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

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

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

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

    # RegexModel
    def Patterns(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.RegexModel_.Pattern import Pattern
            obj = Pattern()
            obj.Init(self._tab.Bytes, x)
            return obj
        return None

    # RegexModel
    def PatternsLength(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
        if o != 0:
            return self._tab.VectorLen(o)
        return 0

    # RegexModel
    def PatternsIsNone(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
        return o == 0

    # RegexModel
    def LazyRegexCompilation(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return True

    # RegexModel
    def LuaVerifier(self, j):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            a = self._tab.Vector(o)
            return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
        return ""

    # RegexModel
    def LuaVerifierLength(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.VectorLen(o)
        return 0

    # RegexModel
    def LuaVerifierIsNone(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        return o == 0

def RegexModelStart(builder): builder.StartObject(3)
def RegexModelAddPatterns(builder, patterns): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(patterns), 0)
def RegexModelStartPatternsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def RegexModelAddLazyRegexCompilation(builder, lazyRegexCompilation): builder.PrependBoolSlot(1, lazyRegexCompilation, 1)
def RegexModelAddLuaVerifier(builder, luaVerifier): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(luaVerifier), 0)
def RegexModelStartLuaVerifierVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def RegexModelEnd(builder): return builder.EndObject()