Merge ansys-dpf-core 0.4.0 from private repository to GitHub

[cbellot000]

Make ansys-dpf-core compatible with Ansys release 2022R1
Update master version to 0.4.dev0

Enhancements:

• native remote workflows capability: Workflows and Operators instantiated on different servers can be connected together transparently to create distributed pre and post processing workflows. Workflows created on a given server can be moved to other servers.
• add optional progress bar when Operators or Workflows are evaluated. This uses the new Session API through grpc
• server on Docker Container is started automatically with, either the environment variable DPF_DOCKER or either the parameter docker_name of the function start_local_server set to the name of the docker. Unit tests can be run on Docker Container
• implement Integral Collection to connect and get output data as int, double or string arrays more efficiently from Operators and Workflows
• create generic calls to get and set field properties from and to the MeshedRegion
• identify DPF entities in grpc databases by their entity IDs and their DataBase IDs to allow for better communication between servers
• add capability to generate operators python code client side
• by default, the mesh is read when a displacement is requested (can be disabled with model.mesh_by_default = False )
• new operators to support averaging from elemental centroids results
• improve handling of MAPDL coupled analysis
• create path_utilities to offer helpers on path depending on the server os

Bug fixes:

• automatic code generation for model.results.... is working for results with scripting names having " ", "/", "", ".", ":", ";", ",", "(", ")" characters.
• decorator server_meet_version "wraps" the method so that the call stack when exception are raised is correct
• fetch named selections from the MeshedRegion only when it's specifically required to improve performances
• properly release memory server side when time/frequencies are requested by the TimeFreqSupport
• add more unary calls in ResultInfo service

Documentation fixes:

• README.md reference pydpf-core instead of DPF-Core
• improve spelling

[akaszynski]

These all should be within parenthesis.

[akaszynski]

I know these are all autogenerated, but in the future comments should be on their own line without >>> # with whitespace between:

Suggested change

	>>> # Instantiate operator and connect inputs in one line
	Instantiate operator and connect inputs in one line