19/libtextclassifier3/DatetimeModelPattern_/Regex.py

# automatically generated by the FlatBuffers compiler, do not modify

# namespace: DatetimeModelPattern_

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

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

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

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

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

    # Regex
    def Pattern(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

    # Regex
    def Groups(self, j):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            a = self._tab.Vector(o)
            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
        return 0

    # Regex
    def GroupsAsNumpy(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
        return 0

    # Regex
    def GroupsLength(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.VectorLen(o)
        return 0

    # Regex
    def GroupsIsNone(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        return o == 0

    # Regex
    def CompressedPattern(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        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

def RegexStart(builder): builder.StartObject(3)
def RegexAddPattern(builder, pattern): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(pattern), 0)
def RegexAddGroups(builder, groups): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(groups), 0)
def RegexStartGroupsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def RegexAddCompressedPattern(builder, compressedPattern): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(compressedPattern), 0)
def RegexEnd(builder): return builder.EndObject()