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.
99 lines
3.6 KiB
Python
99 lines
3.6 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 Matrix(object):
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__slots__ = ['_tab']
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@classmethod
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def GetRootAsMatrix(cls, buf, offset):
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n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
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x = Matrix()
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x.Init(buf, n + offset)
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return x
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# Matrix
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def Init(self, buf, pos):
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self._tab = flatbuffers.table.Table(buf, pos)
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# Matrix
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def NRows(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.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
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return 0
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# Matrix
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def NCols(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
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if o != 0:
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return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
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return 0
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# Matrix
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def Columns(self, j):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
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if o != 0:
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x = self._tab.Vector(o)
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x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
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x = self._tab.Indirect(x)
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from .Column import Column
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obj = Column()
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obj.Init(self._tab.Bytes, x)
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return obj
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return None
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# Matrix
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def ColumnsLength(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
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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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# Matrix
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def ColIndexType(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
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if o != 0:
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return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
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return 0
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# Matrix
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def ColIndex(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
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if o != 0:
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from flatbuffers.table import Table
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obj = Table(bytearray(), 0)
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self._tab.Union(obj, o)
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return obj
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return None
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# Matrix
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def RowIndexType(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
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if o != 0:
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return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
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return 0
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# Matrix
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def RowIndex(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
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if o != 0:
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from flatbuffers.table import Table
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obj = Table(bytearray(), 0)
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self._tab.Union(obj, o)
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return obj
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return None
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def MatrixStart(builder): builder.StartObject(7)
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def MatrixAddNRows(builder, nRows): builder.PrependUint32Slot(0, nRows, 0)
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def MatrixAddNCols(builder, nCols): builder.PrependUint32Slot(1, nCols, 0)
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def MatrixAddColumns(builder, columns): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(columns), 0)
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def MatrixStartColumnsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
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def MatrixAddColIndexType(builder, colIndexType): builder.PrependUint8Slot(3, colIndexType, 0)
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def MatrixAddColIndex(builder, colIndex): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(colIndex), 0)
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def MatrixAddRowIndexType(builder, rowIndexType): builder.PrependUint8Slot(5, rowIndexType, 0)
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def MatrixAddRowIndex(builder, rowIndex): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(rowIndex), 0)
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def MatrixEnd(builder): return builder.EndObject()
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