mirror of
https://github.com/chanzuckerberg/cellxgene.git
synced 2026-09-17 13:58:00 +08:00
fb61bd6e9c
This splits the backend into two parts: the local backend for desktop cellxgene and the AWS backend for hosted cellxgene. The local backend is in local_server while the hosted remains in server. The general idea is to copy everything from server to local_server, pull unneeded stuff out of local_server, and keep server as-is for this PR. Not touching server means all the infra and deployment code will continue working just as it did before so we can make those changes incrementally.
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
# automatically generated by the FlatBuffers compiler, do not modify
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# namespace: NetEncoding
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import flatbuffers
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class Int32Array(object):
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__slots__ = ['_tab']
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@classmethod
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def GetRootAsInt32Array(cls, buf, offset):
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n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
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x = Int32Array()
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x.Init(buf, n + offset)
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return x
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# Int32Array
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def Init(self, buf, pos):
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self._tab = flatbuffers.table.Table(buf, pos)
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# Int32Array
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def Data(self, j):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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if o != 0:
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a = self._tab.Vector(o)
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return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
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return 0
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# Int32Array
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def DataAsNumpy(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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if o != 0:
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return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
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return 0
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# Int32Array
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def DataLength(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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if o != 0:
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return self._tab.VectorLen(o)
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return 0
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def Int32ArrayStart(builder): builder.StartObject(1)
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def Int32ArrayAddData(builder, data): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
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def Int32ArrayStartDataVector(builder, numElems): return builder.StartVector(4, numElems, 4)
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def Int32ArrayEnd(builder): return builder.EndObject()
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