Files
cellxgene/server/data_common/fbs/NetEncoding/Int32Array.py
bmccandless 907cc634f5 server refactor (#1140)
This PR contains a refactoring to make adding new features easier.

The new features include supporting the tiledb format, and the multi dataset application.

The refactoring includes

Simplifying the directory structure and files.
a class structure to handle annotations (currently one type: AnnotationsLocalFile).
a class to handle application configuration
a class structure to handle matrix data (currently AnndataAdaptor and CxgAdaptor). CxgAdaptor uses tiledb.
Algorithms that were previously dependent on the scanpy anndata object are now generalized to work with an abstract interface.
The multi dataset option is not fully supported yet, and so the option to use it is hidden.
Use "cli launch --dataroot ..."
To access this feature.

All combinations of app single dataset/ app multi dataset and AnndataAdaptor/CxgAdaptor work with all the features, such as annotations, ontologies, diffexp.
2020-02-19 10:22:35 -08:00

47 lines
1.6 KiB
Python

# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
import flatbuffers
class Int32Array(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsInt32Array(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Int32Array()
x.Init(buf, n + offset)
return x
# Int32Array
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Int32Array
def Data(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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
# Int32Array
def DataAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
return 0
# Int32Array
def DataLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.VectorLen(o)
return 0
def Int32ArrayStart(builder): builder.StartObject(1)
def Int32ArrayAddData(builder, data): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
def Int32ArrayStartDataVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def Int32ArrayEnd(builder): return builder.EndObject()