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# automatically generated by the FlatBuffers compiler, do not modify
# namespace: libtextclassifier3
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class GrammarModel(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsGrammarModel(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = GrammarModel()
x.Init(buf, n + offset)
return x
@classmethod
def GrammarModelBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x43\x32\x20", size_prefixed=size_prefixed)
# GrammarModel
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# GrammarModel
def Rules(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.grammar.RulesSet import RulesSet
obj = RulesSet()
obj.Init(self._tab.Bytes, x)
return obj
return None
# GrammarModel
def RuleClassificationResult(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
x = self._tab.Vector(o)
x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
x = self._tab.Indirect(x)
from libtextclassifier3.GrammarModel_.RuleClassificationResult import RuleClassificationResult
obj = RuleClassificationResult()
obj.Init(self._tab.Bytes, x)
return obj
return None
# GrammarModel
def RuleClassificationResultLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.VectorLen(o)
return 0
# GrammarModel
def RuleClassificationResultIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
return o == 0
# GrammarModel
def ContextLeftNumTokens(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 0
# GrammarModel
def ContextRightNumTokens(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
return 0
# GrammarModel
def TokenizerOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.GrammarTokenizerOptions import GrammarTokenizerOptions
obj = GrammarTokenizerOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
def GrammarModelStart(builder): builder.StartObject(5)
def GrammarModelAddRules(builder, rules): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(rules), 0)
def GrammarModelAddRuleClassificationResult(builder, ruleClassificationResult): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(ruleClassificationResult), 0)
def GrammarModelStartRuleClassificationResultVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def GrammarModelAddContextLeftNumTokens(builder, contextLeftNumTokens): builder.PrependInt32Slot(2, contextLeftNumTokens, 0)
def GrammarModelAddContextRightNumTokens(builder, contextRightNumTokens): builder.PrependInt32Slot(3, contextRightNumTokens, 0)
def GrammarModelAddTokenizerOptions(builder, tokenizerOptions): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(tokenizerOptions), 0)
def GrammarModelEnd(builder): return builder.EndObject()
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