19/libtextclassifier3/GrammarModel.py

# 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()