File size: 4,079 Bytes
4c8c729 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
# 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()
|