# automatically generated by the FlatBuffers compiler, do not modify

# namespace: libtextclassifier3

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

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

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

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

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

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

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

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

    # OutputOptions
    def FilteredCollectionsClassification(self, j):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            a = self._tab.Vector(o)
            return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
        return ""

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

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

    # OutputOptions
    def FilteredCollectionsSelection(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 ""

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

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

def OutputOptionsStart(builder): builder.StartObject(3)
def OutputOptionsAddFilteredCollectionsAnnotation(builder, filteredCollectionsAnnotation): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(filteredCollectionsAnnotation), 0)
def OutputOptionsStartFilteredCollectionsAnnotationVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def OutputOptionsAddFilteredCollectionsClassification(builder, filteredCollectionsClassification): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(filteredCollectionsClassification), 0)
def OutputOptionsStartFilteredCollectionsClassificationVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def OutputOptionsAddFilteredCollectionsSelection(builder, filteredCollectionsSelection): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(filteredCollectionsSelection), 0)
def OutputOptionsStartFilteredCollectionsSelectionVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def OutputOptionsEnd(builder): return builder.EndObject()