Refactor czi_hosted and server into backend directory, pull common code into backend/common, refactor tests (#2102)

* move local_server -> backend/server server-> backend/czi_hosted, pull common code into backend/common update imports, tests and make commands
This commit is contained in:
Madison Dunitz
2021-03-26 00:27:07 -05:00
committed by GitHub
parent e6e358ddc8
commit 78c9d24ed4
425 changed files with 734 additions and 5317 deletions
+41
View File
@@ -0,0 +1,41 @@
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
import flatbuffers
class Column(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsColumn(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Column()
x.Init(buf, n + offset)
return x
# Column
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Column
def UType(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
return 0
# Column
def U(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
from flatbuffers.table import Table
obj = Table(bytearray(), 0)
self._tab.Union(obj, o)
return obj
return None
def ColumnStart(builder): builder.StartObject(2)
def ColumnAddUType(builder, uType): builder.PrependUint8Slot(0, uType, 0)
def ColumnAddU(builder, u): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(u), 0)
def ColumnEnd(builder): return builder.EndObject()
@@ -0,0 +1,46 @@
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
import flatbuffers
class Float32Array(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsFloat32Array(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Float32Array()
x.Init(buf, n + offset)
return x
# Float32Array
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Float32Array
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.Float32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# Float32Array
def DataAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Float32Flags, o)
return 0
# Float32Array
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 Float32ArrayStart(builder): builder.StartObject(1)
def Float32ArrayAddData(builder, data): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
def Float32ArrayStartDataVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def Float32ArrayEnd(builder): return builder.EndObject()
@@ -0,0 +1,46 @@
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
import flatbuffers
class Float64Array(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsFloat64Array(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Float64Array()
x.Init(buf, n + offset)
return x
# Float64Array
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Float64Array
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.Float64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
return 0
# Float64Array
def DataAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Float64Flags, o)
return 0
# Float64Array
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 Float64ArrayStart(builder): builder.StartObject(1)
def Float64ArrayAddData(builder, data): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
def Float64ArrayStartDataVector(builder, numElems): return builder.StartVector(8, numElems, 8)
def Float64ArrayEnd(builder): return builder.EndObject()
@@ -0,0 +1,46 @@
# 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()
@@ -0,0 +1,46 @@
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
import flatbuffers
class JSONEncodedArray(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsJSONEncodedArray(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = JSONEncodedArray()
x.Init(buf, n + offset)
return x
# JSONEncodedArray
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# JSONEncodedArray
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.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
return 0
# JSONEncodedArray
def DataAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
return 0
# JSONEncodedArray
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 JSONEncodedArrayStart(builder): builder.StartObject(1)
def JSONEncodedArrayAddData(builder, data): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
def JSONEncodedArrayStartDataVector(builder, numElems): return builder.StartVector(1, numElems, 1)
def JSONEncodedArrayEnd(builder): return builder.EndObject()
+98
View File
@@ -0,0 +1,98 @@
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
import flatbuffers
class Matrix(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsMatrix(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Matrix()
x.Init(buf, n + offset)
return x
# Matrix
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Matrix
def NRows(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
return 0
# Matrix
def NCols(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
return 0
# Matrix
def Columns(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
x = self._tab.Vector(o)
x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
x = self._tab.Indirect(x)
from .Column import Column
obj = Column()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Matrix
def ColumnsLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Matrix
def ColIndexType(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
return 0
# Matrix
def ColIndex(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
from flatbuffers.table import Table
obj = Table(bytearray(), 0)
self._tab.Union(obj, o)
return obj
return None
# Matrix
def RowIndexType(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
return 0
# Matrix
def RowIndex(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
from flatbuffers.table import Table
obj = Table(bytearray(), 0)
self._tab.Union(obj, o)
return obj
return None
def MatrixStart(builder): builder.StartObject(7)
def MatrixAddNRows(builder, nRows): builder.PrependUint32Slot(0, nRows, 0)
def MatrixAddNCols(builder, nCols): builder.PrependUint32Slot(1, nCols, 0)
def MatrixAddColumns(builder, columns): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(columns), 0)
def MatrixStartColumnsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def MatrixAddColIndexType(builder, colIndexType): builder.PrependUint8Slot(3, colIndexType, 0)
def MatrixAddColIndex(builder, colIndex): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(colIndex), 0)
def MatrixAddRowIndexType(builder, rowIndexType): builder.PrependUint8Slot(5, rowIndexType, 0)
def MatrixAddRowIndex(builder, rowIndex): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(rowIndex), 0)
def MatrixEnd(builder): return builder.EndObject()
@@ -0,0 +1,12 @@
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
class TypedArray(object):
NONE = 0
Float32Array = 1
Int32Array = 2
Uint32Array = 3
Float64Array = 4
JSONEncodedArray = 5
@@ -0,0 +1,46 @@
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: NetEncoding
import flatbuffers
class Uint32Array(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsUint32Array(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Uint32Array()
x.Init(buf, n + offset)
return x
# Uint32Array
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Uint32Array
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.Uint32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# Uint32Array
def DataAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint32Flags, o)
return 0
# Uint32Array
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 Uint32ArrayStart(builder): builder.StartObject(1)
def Uint32ArrayAddData(builder, data): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
def Uint32ArrayStartDataVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def Uint32ArrayEnd(builder): return builder.EndObject()