# automatically generated by the FlatBuffers compiler, do not modify

# namespace: tosa

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

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

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

    @classmethod
    def TosaTensorBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x4F\x53\x41", size_prefixed=size_prefixed)

    # TosaTensor
    def Init(self, buf, pos):
        self._tab = flatbuffers.table.Table(buf, pos)

    # TosaTensor
    def Name(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

    # TosaTensor
    def Shape(self, j):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        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

    # TosaTensor
    def ShapeAsNumpy(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
        return 0

    # TosaTensor
    def ShapeLength(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.VectorLen(o)
        return 0

    # TosaTensor
    def ShapeIsNone(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        return o == 0

    # TosaTensor
    def Type(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
        return 0

    # TosaTensor
    def Data(self, j):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        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

    # TosaTensor
    def DataAsNumpy(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
        return 0

    # TosaTensor
    def DataLength(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return self._tab.VectorLen(o)
        return 0

    # TosaTensor
    def DataIsNone(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        return o == 0

def TosaTensorStart(builder): builder.StartObject(4)
def TosaTensorAddName(builder, name): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
def TosaTensorAddShape(builder, shape): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(shape), 0)
def TosaTensorStartShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def TosaTensorAddType(builder, type): builder.PrependUint32Slot(2, type, 0)
def TosaTensorAddData(builder, data): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
def TosaTensorStartDataVector(builder, numElems): return builder.StartVector(1, numElems, 1)
def TosaTensorEnd(builder): return builder.EndObject()