Remove toCoord from pyspark3d (deprecated)

Author: JulienPeloton

pyspark3d/converters.py

@@ -146,90 +146,6 @@ def scala2python(scala_list: JavaObject) -> list:
 
     return java2python(scala2java(scala_list))
 
-# def toCoordRDD(
-#         srdd: JavaObject, gridtype: str="", numPartitions: int=None) -> RDD:
-#     """Convert a RDD of Shape3D objects from spark3D into a PythonRDD whose
-#     elements are the coordinates of the Shape3D objects.
-#
-#     The element of a RDD coming from the Scala/Java world won't be usable in
-#     general in Python as they aren't defined (unless you wrote explicitly the
-#     converter). For example, a RDD[Point3D] is understood in Python, but
-#     you won't be able to manipulate its elements (Point3D are Java objects).
-#     The idea is then to manipulate the full RDD in Scala, but interface just
-#     the coordinates in the end, e.g. for visualisation.
-#
-#     By default, `toCoord` will act on the raw RDD. You can also repartition the
-#     RDD before the conversion.
-#
-#     Parameters
-#     ----------
-#     srdd : JavaObject
-#         Point3DRDD or SphereRDD instance (spatial3DRDD).
-#     gridtype : str, optional
-#         Type of the repartitioning to apply: onion, octree. Default
-#         is no repartitioning (gridtype="").
-#     numPartitions : int, optional
-#         Number of partitions after repartitioning.
-#
-#     Returns
-#     -------
-#     RDD
-#         PythonRDD whose elements are object centers. If gridtype is specified,
-#         the RDD has been repartitioned.
-#
-#     Examples
-#     -------
-#     >>> from pyspark3d_conf import path_to_conf
-#     >>> from pyspark3d.spatial3DRDD import Point3DRDD
-#
-#     Load data
-#     >>> fn = os.path.join(path_to_conf, "../src/test/resources/astro_obs.fits")
-#     >>> p3d = Point3DRDD(spark, fn, "Z_COSMO,RA,DEC",
-#     ...     True, "fits", {"hdu": "1"})
-#
-#     No repartitioning & no change of partition number
-#     >>> pyrdd = toCoordRDD(p3d)
-#     >>> print(round(pyrdd.first()[0], 2))
-#     0.55
-#
-#     No repartitioning but increase the number of partitions
-#     >>> pyrdd = toCoordRDD(p3d, numPartitions=100)
-#     >>> print(round(pyrdd.first()[0], 2))
-#     0.06
-#     >>> print(pyrdd.getNumPartitions())
-#     100
-#
-#     OCTREE repartitioning, and increase the number of partitions
-#     >>> pyrdd = toCoordRDD(p3d, "octree", 100)
-#     >>> print(round(pyrdd.first()[0], 2))
-#     0.92
-#
-#     For Octree, the number of partition is always a power of 8.
-#     In this case, 8**2 is the closest.
-#     >>> print(pyrdd.getNumPartitions())
-#     64
-#
-#     """
-#     pysc = get_spark_context()
-#
-#     # Get the desired final number of partitions
-#     if numPartitions is None:
-#         npart = srdd.rawRDD().getNumPartitions()
-#     else:
-#         npart = numPartitions
-#
-#     # Repartition if needed
-#     if gridtype != "":
-#         rdd = srdd.spatialPartitioningPython(gridtype, npart)
-#     else:
-#         if numPartitions is None:
-#             rdd = srdd.rawRDD()
-#         else:
-#             rdd = srdd.rawRDD()
-#             return _java2py(
-#                 pysc, srdd.toCenterCoordinateRDDPython(rdd)).repartition(npart)
-#     return _java2py(pysc, srdd.toCenterCoordinateRDDPython(rdd))
-
 
 if __name__ == "__main__":
     """