# automatically generated by the FlatBuffers compiler, do not modify

# namespace: CLCache

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

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

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

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

    # Autotuning
    def Key(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

    # Autotuning
    def GloablSize(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.Uint32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
        return 0

    # Autotuning
    def GloablSizeAsNumpy(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint32Flags, o)
        return 0

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

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

    # Autotuning
    def LocalSize(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.Uint32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
        return 0

    # Autotuning
    def LocalSizeAsNumpy(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint32Flags, o)
        return 0

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

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

    # Autotuning
    def TimeCost(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
        return 0

    # Autotuning
    def Name(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
        if o != 0:
            return self._tab.String(o + self._tab.Pos)
        return None

    # Autotuning
    def Md5(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
        if o != 0:
            return self._tab.String(o + self._tab.Pos)
        return None

def AutotuningStart(builder):
    builder.StartObject(6)

def Start(builder):
    AutotuningStart(builder)

def AutotuningAddKey(builder, key):
    builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(key), 0)

def AddKey(builder, key):
    AutotuningAddKey(builder, key)

def AutotuningAddGloablSize(builder, gloablSize):
    builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(gloablSize), 0)

def AddGloablSize(builder, gloablSize):
    AutotuningAddGloablSize(builder, gloablSize)

def AutotuningStartGloablSizeVector(builder, numElems):
    return builder.StartVector(4, numElems, 4)

def StartGloablSizeVector(builder, numElems):
    return AutotuningStartGloablSizeVector(builder, numElems)

def AutotuningAddLocalSize(builder, localSize):
    builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(localSize), 0)

def AddLocalSize(builder, localSize):
    AutotuningAddLocalSize(builder, localSize)

def AutotuningStartLocalSizeVector(builder, numElems):
    return builder.StartVector(4, numElems, 4)

def StartLocalSizeVector(builder, numElems):
    return AutotuningStartLocalSizeVector(builder, numElems)

def AutotuningAddTimeCost(builder, timeCost):
    builder.PrependUint32Slot(3, timeCost, 0)

def AddTimeCost(builder, timeCost):
    AutotuningAddTimeCost(builder, timeCost)

def AutotuningAddName(builder, name):
    builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)

def AddName(builder, name):
    AutotuningAddName(builder, name)

def AutotuningAddMd5(builder, md5):
    builder.PrependUOffsetTRelativeSlot(5, flatbuffers.number_types.UOffsetTFlags.py_type(md5), 0)

def AddMd5(builder, md5):
    AutotuningAddMd5(builder, md5)

def AutotuningEnd(builder):
    return builder.EndObject()

def End(builder):
    return AutotuningEnd(builder)