chrome_models / 19 /libtextclassifier3 /SelectionModelOptions.py
dejanseo's picture
Upload 51 files
4c8c729 verified
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: libtextclassifier3
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class SelectionModelOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsSelectionModelOptions(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = SelectionModelOptions()
x.Init(buf, n + offset)
return x
@classmethod
def SelectionModelOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x43\x32\x20", size_prefixed=size_prefixed)
# SelectionModelOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# SelectionModelOptions
def StripUnpairedBrackets(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
return True
# SelectionModelOptions
def SymmetryContextSize(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
return 0
# SelectionModelOptions
def BatchSize(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 1024
# SelectionModelOptions
def AlwaysClassifySuggestedSelection(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
return False
def SelectionModelOptionsStart(builder): builder.StartObject(4)
def SelectionModelOptionsAddStripUnpairedBrackets(builder, stripUnpairedBrackets): builder.PrependBoolSlot(0, stripUnpairedBrackets, 1)
def SelectionModelOptionsAddSymmetryContextSize(builder, symmetryContextSize): builder.PrependInt32Slot(1, symmetryContextSize, 0)
def SelectionModelOptionsAddBatchSize(builder, batchSize): builder.PrependInt32Slot(2, batchSize, 1024)
def SelectionModelOptionsAddAlwaysClassifySuggestedSelection(builder, alwaysClassifySuggestedSelection): builder.PrependBoolSlot(3, alwaysClassifySuggestedSelection, 0)
def SelectionModelOptionsEnd(builder): return builder.EndObject()