mirror of
https://github.com/chanzuckerberg/cellxgene.git
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b90447c387
* first flatbuffer schema * do not lint auto-generated files * add flatbuffers package * add flatbuffer module * wire up /data/X/T route * use flatbuffers for matrix data fetc * clarity and comments * add flatbuffer layout route * clean up obsolete code * fix tests * move flake8 config to setup.cfg * add comments * lint * rework layout routes for fbs * add more type support to fbs * lint * add flatbuffer support for annotations * function name improvements * fix botched merge with master * remove unused import * route cleanup for flatbuffers * rename function for clarity * add missing globals to Jest tests * fix client JS tests * fix routes for Python tests * comments for clarity * non-finite floating point hardening * more non-finite number handling * lint * fix tests for summarizeAnnotations * harden diffexp calculation against FP errors * cleanup unused code * lint * add encoding tests for flatbuffers * application type specified as strings * fix spelling error * improve variable names * add note about documentation gap * rename FBS DataFrame to Matrix
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 Float32Array(object):
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__slots__ = ['_tab']
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@classmethod
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def GetRootAsFloat32Array(cls, buf, offset):
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n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
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x = Float32Array()
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x.Init(buf, n + offset)
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return x
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# Float32Array
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def Init(self, buf, pos):
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self._tab = flatbuffers.table.Table(buf, pos)
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# Float32Array
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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.Float32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
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return 0
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# Float32Array
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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.Float32Flags, o)
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return 0
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# Float32Array
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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 Float32ArrayStart(builder): builder.StartObject(1)
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def Float32ArrayAddData(builder, data): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
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def Float32ArrayStartDataVector(builder, numElems): return builder.StartVector(4, numElems, 4)
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def Float32ArrayEnd(builder): return builder.EndObject()
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