Update generated code for DPF 261_daily on master

[pyansys-ci-bot]

An update of generated code has been triggered either manually or by an update in the dpf-standalone repository.

[github-actions]

Some tests with 'continue-on-error: true' have failed:

• PyDPF-Post docstring tests on ubuntu-latest

• PyDPF-Post API tests on ubuntu-latest

  Created by continue-on-error-comment

[codecov]

❌ 48 Tests Failed:

Tests completed	Failed	Passed	Skipped
25650	48	25602	3614

View the top 3 failed test(s) by shortest run time

tests/test_animator.py::test_animator_animate_fields_container_scale_factor_fc

Stack Traces | 0.003s run time

@pytest.fixture()
    def displacement_fields():
        model = dpf.Model(examples.find_msup_transient())
        mesh_scoping = dpf.mesh_scoping_factory.nodal_scoping(
>           model.metadata.meshed_region.nodes.scoping
        )

tests/test_animator.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
..../test-api/lib/python3.10.../dpf/core/model.py:130: in metadata
    self._metadata = Metadata(self._data_sources, self._server)
..../test-api/lib/python3.10.../dpf/core/model.py:292: in __init__
    self._set_data_sources(data_sources)
..../test-api/lib/python3.10.../dpf/core/model.py:440: in _set_data_sources
    self._cache_streams_provider()
..../test-api/lib/python3.10.../dpf/core/model.py:322: in _cache_streams_provider
    self._stream_provider = Operator("stream_provider", server=self._server)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <ansys.dpf.core.dpf_operator.Operator object at 0x7f72d81abfa0>
name = 'stream_provider', config = None
server = <ansys.dpf.core.server_types.InProcessServer object at 0x7f72f369e020>
operator = None

    def __init__(self, name=None, config=None, server=None, operator=None):
        """Initialize the operator with its name by connecting to a stub."""
        self.name = name
        self._internal_obj = None
        self._description = None
        self._inputs = None
        self._id = None
    
        # step 1: get server
        self._server = server_module.get_or_create_server(
            config._server if isinstance(config, Config) else server
        )
    
        # step 2: get api
        self._api_instance = None  # see _api property
    
        # step 3: init environment
        self._api.init_operator_environment(self)  # creates stub when gRPC
    
        # step 4: if object exists, take the instance, else create it
        if operator is not None:
            if isinstance(operator, Operator):
                core_api = self._server.get_api_for_type(
                    capi=data_processing_capi.DataProcessingCAPI,
                    grpcapi=data_processing_grpcapi.DataProcessingGRPCAPI,
                )
                core_api.init_data_processing_environment(self)
                self._internal_obj = core_api.data_processing_duplicate_object_reference(operator)
                self.name = operator.name
            else:
                self._internal_obj = operator
                self.name = self._api.operator_name(self)
        else:
            if self._server.has_client():
                self._internal_obj = self._api.operator_new_on_client(
                    self.name, self._server.client
                )
            else:
                self._internal_obj = self._api.operator_new(self.name)
    
        if self._internal_obj is None:
>           raise KeyError(
                f"The operator {self.name} doesn't exist in the registry. "
                f"Check its spelling in the documentation or verify its availability "
                f"in your loaded plugins. The current available operator names can be "
                f"accessed using 'available_operator_names' method."
            )
E           KeyError: "The operator stream_provider doesn't exist in the registry. Check its spelling in the documentation or verify its availability in your loaded plugins. The current available operator names can be accessed using 'available_operator_names' method."

..../test-api/lib/python3.10.../dpf/core/dpf_operator.py:163: KeyError

tests/test_animator.py::test_animator_animate_fields_container_scale_factor_int

Stack Traces | 0.003s run time

@pytest.fixture()
    def displacement_fields():
        model = dpf.Model(examples.find_msup_transient())
        mesh_scoping = dpf.mesh_scoping_factory.nodal_scoping(
>           model.metadata.meshed_region.nodes.scoping
        )

tests/test_animator.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
..../test-api/lib/python3.10.../dpf/core/model.py:130: in metadata
    self._metadata = Metadata(self._data_sources, self._server)
..../test-api/lib/python3.10.../dpf/core/model.py:292: in __init__
    self._set_data_sources(data_sources)
..../test-api/lib/python3.10.../dpf/core/model.py:440: in _set_data_sources
    self._cache_streams_provider()
..../test-api/lib/python3.10.../dpf/core/model.py:322: in _cache_streams_provider
    self._stream_provider = Operator("stream_provider", server=self._server)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <ansys.dpf.core.dpf_operator.Operator object at 0x7ff282974640>
name = 'stream_provider', config = None
server = <ansys.dpf.core.server_types.InProcessServer object at 0x7ff29e992020>
operator = None

    def __init__(self, name=None, config=None, server=None, operator=None):
        """Initialize the operator with its name by connecting to a stub."""
        self.name = name
        self._internal_obj = None
        self._description = None
        self._inputs = None
        self._id = None
    
        # step 1: get server
        self._server = server_module.get_or_create_server(
            config._server if isinstance(config, Config) else server
        )
    
        # step 2: get api
        self._api_instance = None  # see _api property
    
        # step 3: init environment
        self._api.init_operator_environment(self)  # creates stub when gRPC
    
        # step 4: if object exists, take the instance, else create it
        if operator is not None:
            if isinstance(operator, Operator):
                core_api = self._server.get_api_for_type(
                    capi=data_processing_capi.DataProcessingCAPI,
                    grpcapi=data_processing_grpcapi.DataProcessingGRPCAPI,
                )
                core_api.init_data_processing_environment(self)
                self._internal_obj = core_api.data_processing_duplicate_object_reference(operator)
                self.name = operator.name
            else:
                self._internal_obj = operator
                self.name = self._api.operator_name(self)
        else:
            if self._server.has_client():
                self._internal_obj = self._api.operator_new_on_client(
                    self.name, self._server.client
                )
            else:
                self._internal_obj = self._api.operator_new(self.name)
    
        if self._internal_obj is None:
>           raise KeyError(
                f"The operator {self.name} doesn't exist in the registry. "
                f"Check its spelling in the documentation or verify its availability "
                f"in your loaded plugins. The current available operator names can be "
                f"accessed using 'available_operator_names' method."
            )
E           KeyError: "The operator stream_provider doesn't exist in the registry. Check its spelling in the documentation or verify its availability in your loaded plugins. The current available operator names can be accessed using 'available_operator_names' method."

..../test-api/lib/python3.10.../dpf/core/dpf_operator.py:163: KeyError

tests/test_animator.py::test_animator_animate_fields_container_scale_factor_list

Stack Traces | 0.003s run time

@pytest.fixture()
    def displacement_fields():
        model = dpf.Model(examples.find_msup_transient())
        mesh_scoping = dpf.mesh_scoping_factory.nodal_scoping(
>           model.metadata.meshed_region.nodes.scoping
        )

tests/test_animator.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
..../test-api/lib/python3.10.../dpf/core/model.py:130: in metadata
    self._metadata = Metadata(self._data_sources, self._server)
..../test-api/lib/python3.10.../dpf/core/model.py:292: in __init__
    self._set_data_sources(data_sources)
..../test-api/lib/python3.10.../dpf/core/model.py:440: in _set_data_sources
    self._cache_streams_provider()
..../test-api/lib/python3.10.../dpf/core/model.py:322: in _cache_streams_provider
    self._stream_provider = Operator("stream_provider", server=self._server)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <ansys.dpf.core.dpf_operator.Operator object at 0x7f72d8149fc0>
name = 'stream_provider', config = None
server = <ansys.dpf.core.server_types.InProcessServer object at 0x7f72f369e020>
operator = None

    def __init__(self, name=None, config=None, server=None, operator=None):
        """Initialize the operator with its name by connecting to a stub."""
        self.name = name
        self._internal_obj = None
        self._description = None
        self._inputs = None
        self._id = None
    
        # step 1: get server
        self._server = server_module.get_or_create_server(
            config._server if isinstance(config, Config) else server
        )
    
        # step 2: get api
        self._api_instance = None  # see _api property
    
        # step 3: init environment
        self._api.init_operator_environment(self)  # creates stub when gRPC
    
        # step 4: if object exists, take the instance, else create it
        if operator is not None:
            if isinstance(operator, Operator):
                core_api = self._server.get_api_for_type(
                    capi=data_processing_capi.DataProcessingCAPI,
                    grpcapi=data_processing_grpcapi.DataProcessingGRPCAPI,
                )
                core_api.init_data_processing_environment(self)
                self._internal_obj = core_api.data_processing_duplicate_object_reference(operator)
                self.name = operator.name
            else:
                self._internal_obj = operator
                self.name = self._api.operator_name(self)
        else:
            if self._server.has_client():
                self._internal_obj = self._api.operator_new_on_client(
                    self.name, self._server.client
                )
            else:
                self._internal_obj = self._api.operator_new(self.name)
    
        if self._internal_obj is None:
>           raise KeyError(
                f"The operator {self.name} doesn't exist in the registry. "
                f"Check its spelling in the documentation or verify its availability "
                f"in your loaded plugins. The current available operator names can be "
                f"accessed using 'available_operator_names' method."
            )
E           KeyError: "The operator stream_provider doesn't exist in the registry. Check its spelling in the documentation or verify its availability in your loaded plugins. The current available operator names can be accessed using 'available_operator_names' method."

..../test-api/lib/python3.10.../dpf/core/dpf_operator.py:163: KeyError

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[github-actions]

The documentation for this pull request will be available at https://dpf.docs.pyansys.com/pull/2379. Please allow some time for the documentation to be deployed.