# automatically generated by the FlatBuffers compiler, do not modify

# namespace: MNN

import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()

class TensorArray(object):
    __slots__ = ['_tab']

    @classmethod
    def GetRootAs(cls, buf, offset=0):
        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
        x = TensorArray()
        x.Init(buf, n + offset)
        return x

    @classmethod
    def GetRootAsTensorArray(cls, buf, offset=0):
        """This method is deprecated. Please switch to GetRootAs."""
        return cls.GetRootAs(buf, offset)
    # TensorArray
    def Init(self, buf, pos):
        self._tab = flatbuffers.table.Table(buf, pos)

    # TensorArray
    def DynamicSize(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 False

    # TensorArray
    def IdenticalElementShapes(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # TensorArray
    def ElementShape(self, j):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            a = self._tab.Vector(o)
            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
        return 0

    # TensorArray
    def ElementShapeAsNumpy(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
        return 0

    # TensorArray
    def ElementShapeLength(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.VectorLen(o)
        return 0

    # TensorArray
    def ElementShapeIsNone(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        return o == 0

    # TensorArray
    def T(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 1

def TensorArrayStart(builder): builder.StartObject(4)
def Start(builder):
    return TensorArrayStart(builder)
def TensorArrayAddDynamicSize(builder, dynamicSize): builder.PrependBoolSlot(0, dynamicSize, 0)
def AddDynamicSize(builder, dynamicSize):
    return TensorArrayAddDynamicSize(builder, dynamicSize)
def TensorArrayAddIdenticalElementShapes(builder, identicalElementShapes): builder.PrependBoolSlot(1, identicalElementShapes, 0)
def AddIdenticalElementShapes(builder, identicalElementShapes):
    return TensorArrayAddIdenticalElementShapes(builder, identicalElementShapes)
def TensorArrayAddElementShape(builder, elementShape): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(elementShape), 0)
def AddElementShape(builder, elementShape):
    return TensorArrayAddElementShape(builder, elementShape)
def TensorArrayStartElementShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def StartElementShapeVector(builder, numElems):
    return TensorArrayStartElementShapeVector(builder, numElems)
def TensorArrayAddT(builder, t): builder.PrependInt32Slot(3, t, 1)
def AddT(builder, t):
    return TensorArrayAddT(builder, t)
def TensorArrayEnd(builder): return builder.EndObject()
def End(builder):
    return TensorArrayEnd(builder)