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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 Model(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsModel(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Model()
x.Init(buf, n + offset)
return x
@classmethod
def ModelBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x43\x32\x20", size_prefixed=size_prefixed)
# Model
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Model
def Locales(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.String(o + self._tab.Pos)
return None
# Model
def Version(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
# Model
def Name(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.String(o + self._tab.Pos)
return None
# Model
def SelectionFeatureOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.FeatureProcessorOptions import FeatureProcessorOptions
obj = FeatureProcessorOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def ClassificationFeatureOptions(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.FeatureProcessorOptions import FeatureProcessorOptions
obj = FeatureProcessorOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def SelectionModel(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
return 0
# Model
def SelectionModelAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
return 0
# Model
def SelectionModelLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Model
def SelectionModelIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
return o == 0
# Model
def ClassificationModel(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
return 0
# Model
def ClassificationModelAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
return 0
# Model
def ClassificationModelLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Model
def ClassificationModelIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
return o == 0
# Model
def EmbeddingModel(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
return 0
# Model
def EmbeddingModelAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
return 0
# Model
def EmbeddingModelLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Model
def EmbeddingModelIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
return o == 0
# Model
def SelectionOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(20))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.SelectionModelOptions import SelectionModelOptions
obj = SelectionModelOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def ClassificationOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(22))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.ClassificationModelOptions import ClassificationModelOptions
obj = ClassificationModelOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def RegexModel(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.RegexModel import RegexModel
obj = RegexModel()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def DatetimeModel(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(26))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.DatetimeModel import DatetimeModel
obj = DatetimeModel()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def TriggeringOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(28))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.ModelTriggeringOptions import ModelTriggeringOptions
obj = ModelTriggeringOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def EnabledModes(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
return 7
# Model
def SnapWhitespaceSelections(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(32))
if o != 0:
return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
return True
# Model
def OutputOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(34))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.OutputOptions import OutputOptions
obj = OutputOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def AndroidIntentOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.AndroidIntentFactoryOptions import AndroidIntentFactoryOptions
obj = AndroidIntentFactoryOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def IntentOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(38))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.IntentFactoryModel import IntentFactoryModel
obj = IntentFactoryModel()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def Resources(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(40))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.ResourcePool import ResourcePool
obj = ResourcePool()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def EntityDataSchema(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(42))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
return 0
# Model
def EntityDataSchemaAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(42))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
return 0
# Model
def EntityDataSchemaLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(42))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Model
def EntityDataSchemaIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(42))
return o == 0
# Model
def NumberAnnotatorOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(44))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.NumberAnnotatorOptions import NumberAnnotatorOptions
obj = NumberAnnotatorOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def DurationAnnotatorOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(46))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.DurationAnnotatorOptions import DurationAnnotatorOptions
obj = DurationAnnotatorOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def TriggeringLocales(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(48))
if o != 0:
return self._tab.String(o + self._tab.Pos)
return None
# Model
def EmbeddingPruningMask(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(50))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.Model_.EmbeddingPruningMask import EmbeddingPruningMask
obj = EmbeddingPruningMask()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def ContactAnnotatorOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(54))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.ContactAnnotatorOptions import ContactAnnotatorOptions
obj = ContactAnnotatorOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def MoneyParsingOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(56))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.MoneyParsingOptions import MoneyParsingOptions
obj = MoneyParsingOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def TranslateAnnotatorOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(58))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.TranslateAnnotatorOptions import TranslateAnnotatorOptions
obj = TranslateAnnotatorOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def GrammarModel(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(60))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.GrammarModel import GrammarModel
obj = GrammarModel()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def ConflictResolutionOptions(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(62))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.Model_.ConflictResolutionOptions import ConflictResolutionOptions
obj = ConflictResolutionOptions()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def ExperimentalModel(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(64))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.ExperimentalModel import ExperimentalModel
obj = ExperimentalModel()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def PodNerModel(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(66))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.PodNerModel import PodNerModel
obj = PodNerModel()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Model
def VocabModel(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(68))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from libtextclassifier3.VocabModel import VocabModel
obj = VocabModel()
obj.Init(self._tab.Bytes, x)
return obj
return None
def ModelStart(builder): builder.StartObject(33)
def ModelAddLocales(builder, locales): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(locales), 0)
def ModelAddVersion(builder, version): builder.PrependInt32Slot(1, version, 0)
def ModelAddName(builder, name): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
def ModelAddSelectionFeatureOptions(builder, selectionFeatureOptions): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(selectionFeatureOptions), 0)
def ModelAddClassificationFeatureOptions(builder, classificationFeatureOptions): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(classificationFeatureOptions), 0)
def ModelAddSelectionModel(builder, selectionModel): builder.PrependUOffsetTRelativeSlot(5, flatbuffers.number_types.UOffsetTFlags.py_type(selectionModel), 0)
def ModelStartSelectionModelVector(builder, numElems): return builder.StartVector(1, numElems, 1)
def ModelAddClassificationModel(builder, classificationModel): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(classificationModel), 0)
def ModelStartClassificationModelVector(builder, numElems): return builder.StartVector(1, numElems, 1)
def ModelAddEmbeddingModel(builder, embeddingModel): builder.PrependUOffsetTRelativeSlot(7, flatbuffers.number_types.UOffsetTFlags.py_type(embeddingModel), 0)
def ModelStartEmbeddingModelVector(builder, numElems): return builder.StartVector(1, numElems, 1)
def ModelAddSelectionOptions(builder, selectionOptions): builder.PrependUOffsetTRelativeSlot(8, flatbuffers.number_types.UOffsetTFlags.py_type(selectionOptions), 0)
def ModelAddClassificationOptions(builder, classificationOptions): builder.PrependUOffsetTRelativeSlot(9, flatbuffers.number_types.UOffsetTFlags.py_type(classificationOptions), 0)
def ModelAddRegexModel(builder, regexModel): builder.PrependUOffsetTRelativeSlot(10, flatbuffers.number_types.UOffsetTFlags.py_type(regexModel), 0)
def ModelAddDatetimeModel(builder, datetimeModel): builder.PrependUOffsetTRelativeSlot(11, flatbuffers.number_types.UOffsetTFlags.py_type(datetimeModel), 0)
def ModelAddTriggeringOptions(builder, triggeringOptions): builder.PrependUOffsetTRelativeSlot(12, flatbuffers.number_types.UOffsetTFlags.py_type(triggeringOptions), 0)
def ModelAddEnabledModes(builder, enabledModes): builder.PrependInt32Slot(13, enabledModes, 7)
def ModelAddSnapWhitespaceSelections(builder, snapWhitespaceSelections): builder.PrependBoolSlot(14, snapWhitespaceSelections, 1)
def ModelAddOutputOptions(builder, outputOptions): builder.PrependUOffsetTRelativeSlot(15, flatbuffers.number_types.UOffsetTFlags.py_type(outputOptions), 0)
def ModelAddAndroidIntentOptions(builder, androidIntentOptions): builder.PrependUOffsetTRelativeSlot(16, flatbuffers.number_types.UOffsetTFlags.py_type(androidIntentOptions), 0)
def ModelAddIntentOptions(builder, intentOptions): builder.PrependUOffsetTRelativeSlot(17, flatbuffers.number_types.UOffsetTFlags.py_type(intentOptions), 0)
def ModelAddResources(builder, resources): builder.PrependUOffsetTRelativeSlot(18, flatbuffers.number_types.UOffsetTFlags.py_type(resources), 0)
def ModelAddEntityDataSchema(builder, entityDataSchema): builder.PrependUOffsetTRelativeSlot(19, flatbuffers.number_types.UOffsetTFlags.py_type(entityDataSchema), 0)
def ModelStartEntityDataSchemaVector(builder, numElems): return builder.StartVector(1, numElems, 1)
def ModelAddNumberAnnotatorOptions(builder, numberAnnotatorOptions): builder.PrependUOffsetTRelativeSlot(20, flatbuffers.number_types.UOffsetTFlags.py_type(numberAnnotatorOptions), 0)
def ModelAddDurationAnnotatorOptions(builder, durationAnnotatorOptions): builder.PrependUOffsetTRelativeSlot(21, flatbuffers.number_types.UOffsetTFlags.py_type(durationAnnotatorOptions), 0)
def ModelAddTriggeringLocales(builder, triggeringLocales): builder.PrependUOffsetTRelativeSlot(22, flatbuffers.number_types.UOffsetTFlags.py_type(triggeringLocales), 0)
def ModelAddEmbeddingPruningMask(builder, embeddingPruningMask): builder.PrependUOffsetTRelativeSlot(23, flatbuffers.number_types.UOffsetTFlags.py_type(embeddingPruningMask), 0)
def ModelAddContactAnnotatorOptions(builder, contactAnnotatorOptions): builder.PrependUOffsetTRelativeSlot(25, flatbuffers.number_types.UOffsetTFlags.py_type(contactAnnotatorOptions), 0)
def ModelAddMoneyParsingOptions(builder, moneyParsingOptions): builder.PrependUOffsetTRelativeSlot(26, flatbuffers.number_types.UOffsetTFlags.py_type(moneyParsingOptions), 0)
def ModelAddTranslateAnnotatorOptions(builder, translateAnnotatorOptions): builder.PrependUOffsetTRelativeSlot(27, flatbuffers.number_types.UOffsetTFlags.py_type(translateAnnotatorOptions), 0)
def ModelAddGrammarModel(builder, grammarModel): builder.PrependUOffsetTRelativeSlot(28, flatbuffers.number_types.UOffsetTFlags.py_type(grammarModel), 0)
def ModelAddConflictResolutionOptions(builder, conflictResolutionOptions): builder.PrependUOffsetTRelativeSlot(29, flatbuffers.number_types.UOffsetTFlags.py_type(conflictResolutionOptions), 0)
def ModelAddExperimentalModel(builder, experimentalModel): builder.PrependUOffsetTRelativeSlot(30, flatbuffers.number_types.UOffsetTFlags.py_type(experimentalModel), 0)
def ModelAddPodNerModel(builder, podNerModel): builder.PrependUOffsetTRelativeSlot(31, flatbuffers.number_types.UOffsetTFlags.py_type(podNerModel), 0)
def ModelAddVocabModel(builder, vocabModel): builder.PrependUOffsetTRelativeSlot(32, flatbuffers.number_types.UOffsetTFlags.py_type(vocabModel), 0)
def ModelEnd(builder): return builder.EndObject()
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