Update generated code for DPF 242 on master

src/ansys/dpf/core/operators/result/migrate_to_h5dpf.py

@@ -33,11 +33,17 @@ class migrate_to_h5dpf(Operator):
     export_floats : bool, optional
         Converts double to float to reduce file size
         (default is true)
-    compression_worfklow : Workflow, optional
+    compression_workflow : Workflow, optional
         Beta option: applies input compression
         workflow
     filtering_workflow : Workflow, optional
         Applies input filtering workflow
+    h5_native_compression : int, optional
+        Integer value that defines the h5 native
+        compression used 0: no compression
+        (default)1-9: gzip level compression
+        : 9 gives us maximum compression but
+        at the slowest speed.
     requested_location : str, optional
         If no location is specified, elemental
         results will be stored as they are.
@@ -69,10 +75,12 @@ class migrate_to_h5dpf(Operator):
     >>> op.inputs.data_sources.connect(my_data_sources)
     >>> my_export_floats = bool()
     >>> op.inputs.export_floats.connect(my_export_floats)
-    >>> my_compression_worfklow = dpf.Workflow()
-    >>> op.inputs.compression_worfklow.connect(my_compression_worfklow)
+    >>> my_compression_workflow = dpf.Workflow()
+    >>> op.inputs.compression_workflow.connect(my_compression_workflow)
     >>> my_filtering_workflow = dpf.Workflow()
     >>> op.inputs.filtering_workflow.connect(my_filtering_workflow)
+    >>> my_h5_native_compression = int()
+    >>> op.inputs.h5_native_compression.connect(my_h5_native_compression)
     >>> my_requested_location = str()
     >>> op.inputs.requested_location.connect(my_requested_location)
     >>> my_separate_dofs = bool()
@@ -86,8 +94,9 @@ class migrate_to_h5dpf(Operator):
     ...     streams_container=my_streams_container,
     ...     data_sources=my_data_sources,
     ...     export_floats=my_export_floats,
-    ...     compression_worfklow=my_compression_worfklow,
+    ...     compression_workflow=my_compression_workflow,
     ...     filtering_workflow=my_filtering_workflow,
+    ...     h5_native_compression=my_h5_native_compression,
     ...     requested_location=my_requested_location,
     ...     separate_dofs=my_separate_dofs,
     ... )
@@ -104,8 +113,9 @@ def __init__(
         streams_container=None,
         data_sources=None,
         export_floats=None,
-        compression_worfklow=None,
+        compression_workflow=None,
         filtering_workflow=None,
+        h5_native_compression=None,
         requested_location=None,
         separate_dofs=None,
         config=None,
@@ -128,10 +138,12 @@ def __init__(
             self.inputs.data_sources.connect(data_sources)
         if export_floats is not None:
             self.inputs.export_floats.connect(export_floats)
-        if compression_worfklow is not None:
-            self.inputs.compression_worfklow.connect(compression_worfklow)
+        if compression_workflow is not None:
+            self.inputs.compression_workflow.connect(compression_workflow)
         if filtering_workflow is not None:
             self.inputs.filtering_workflow.connect(filtering_workflow)
+        if h5_native_compression is not None:
+            self.inputs.h5_native_compression.connect(h5_native_compression)
         if requested_location is not None:
             self.inputs.requested_location.connect(requested_location)
         if separate_dofs is not None:
@@ -186,7 +198,7 @@ def _spec():
         (default is true)""",
                 ),
                 6: PinSpecification(
-                    name="compression_worfklow",
+                    name="compression_workflow",
                     type_names=["workflow"],
                     optional=True,
                     document="""Beta option: applies input compression
@@ -198,6 +210,16 @@ def _spec():
                     optional=True,
                     document="""Applies input filtering workflow""",
                 ),
+                8: PinSpecification(
+                    name="h5_native_compression",
+                    type_names=["int32"],
+                    optional=True,
+                    document="""Integer value that defines the h5 native
+        compression used 0: no compression
+        (default)1-9: gzip level compression
+        : 9 gives us maximum compression but
+        at the slowest speed.""",
+                ),
                 9: PinSpecification(
                     name="requested_location",
                     type_names=["string"],
@@ -284,10 +306,12 @@ class InputsMigrateToH5Dpf(_Inputs):
     >>> op.inputs.data_sources.connect(my_data_sources)
     >>> my_export_floats = bool()
     >>> op.inputs.export_floats.connect(my_export_floats)
-    >>> my_compression_worfklow = dpf.Workflow()
-    >>> op.inputs.compression_worfklow.connect(my_compression_worfklow)
+    >>> my_compression_workflow = dpf.Workflow()
+    >>> op.inputs.compression_workflow.connect(my_compression_workflow)
     >>> my_filtering_workflow = dpf.Workflow()
     >>> op.inputs.filtering_workflow.connect(my_filtering_workflow)
+    >>> my_h5_native_compression = int()
+    >>> op.inputs.h5_native_compression.connect(my_h5_native_compression)
     >>> my_requested_location = str()
     >>> op.inputs.requested_location.connect(my_requested_location)
     >>> my_separate_dofs = bool()
@@ -312,14 +336,18 @@ def __init__(self, op: Operator):
         self._inputs.append(self._data_sources)
         self._export_floats = Input(migrate_to_h5dpf._spec().input_pin(5), 5, op, -1)
         self._inputs.append(self._export_floats)
-        self._compression_worfklow = Input(
+        self._compression_workflow = Input(
             migrate_to_h5dpf._spec().input_pin(6), 6, op, -1
         )
-        self._inputs.append(self._compression_worfklow)
+        self._inputs.append(self._compression_workflow)
         self._filtering_workflow = Input(
             migrate_to_h5dpf._spec().input_pin(7), 7, op, -1
         )
         self._inputs.append(self._filtering_workflow)
+        self._h5_native_compression = Input(
+            migrate_to_h5dpf._spec().input_pin(8), 8, op, -1
+        )
+        self._inputs.append(self._h5_native_compression)
         self._requested_location = Input(
             migrate_to_h5dpf._spec().input_pin(9), 9, op, -1
         )
@@ -454,25 +482,25 @@ def export_floats(self):
         return self._export_floats
 
     @property
-    def compression_worfklow(self):
-        """Allows to connect compression_worfklow input to the operator.
+    def compression_workflow(self):
+        """Allows to connect compression_workflow input to the operator.
 
         Beta option: applies input compression
         workflow
 
         Parameters
         ----------
-        my_compression_worfklow : Workflow
+        my_compression_workflow : Workflow
 
         Examples
         --------
         >>> from ansys.dpf import core as dpf
         >>> op = dpf.operators.result.migrate_to_h5dpf()
-        >>> op.inputs.compression_worfklow.connect(my_compression_worfklow)
+        >>> op.inputs.compression_workflow.connect(my_compression_workflow)
         >>> # or
-        >>> op.inputs.compression_worfklow(my_compression_worfklow)
+        >>> op.inputs.compression_workflow(my_compression_workflow)
         """
-        return self._compression_worfklow
+        return self._compression_workflow
 
     @property
     def filtering_workflow(self):
@@ -494,6 +522,30 @@ def filtering_workflow(self):
         """
         return self._filtering_workflow
 
+    @property
+    def h5_native_compression(self):
+        """Allows to connect h5_native_compression input to the operator.
+
+        Integer value that defines the h5 native
+        compression used 0: no compression
+        (default)1-9: gzip level compression
+        : 9 gives us maximum compression but
+        at the slowest speed.
+
+        Parameters
+        ----------
+        my_h5_native_compression : int
+
+        Examples
+        --------
+        >>> from ansys.dpf import core as dpf
+        >>> op = dpf.operators.result.migrate_to_h5dpf()
+        >>> op.inputs.h5_native_compression.connect(my_h5_native_compression)
+        >>> # or
+        >>> op.inputs.h5_native_compression(my_h5_native_compression)
+        """
+        return self._h5_native_compression
+
     @property
     def requested_location(self):
         """Allows to connect requested_location input to the operator.

src/ansys/dpf/core/operators/serialization/hdf5dpf_generate_result_file.py

@@ -15,6 +15,12 @@ class hdf5dpf_generate_result_file(Operator):
 
     Parameters
     ----------
+    h5_native_compression : int, optional
+        Integer value that defines the h5 native
+        compression used 0: no compression
+        (default)1-9: gzip level compression
+        : 9 gives us maximum compression but
+        at the slowest speed.
     export_floats : bool, optional
         Converts double to float to reduce file size
         (default is true)
@@ -63,6 +69,8 @@ class hdf5dpf_generate_result_file(Operator):
     >>> op = dpf.operators.serialization.hdf5dpf_generate_result_file()
 
     >>> # Make input connections
+    >>> my_h5_native_compression = int()
+    >>> op.inputs.h5_native_compression.connect(my_h5_native_compression)
     >>> my_export_floats = bool()
     >>> op.inputs.export_floats.connect(my_export_floats)
     >>> my_filename = str()
@@ -80,6 +88,7 @@ class hdf5dpf_generate_result_file(Operator):
 
     >>> # Instantiate operator and connect inputs in one line
     >>> op = dpf.operators.serialization.hdf5dpf_generate_result_file(
+    ...     h5_native_compression=my_h5_native_compression,
     ...     export_floats=my_export_floats,
     ...     filename=my_filename,
     ...     mesh_provider_out=my_mesh_provider_out,
@@ -95,6 +104,7 @@ class hdf5dpf_generate_result_file(Operator):
 
     def __init__(
         self,
+        h5_native_compression=None,
         export_floats=None,
         filename=None,
         mesh_provider_out=None,
@@ -110,6 +120,8 @@ def __init__(
         )
         self._inputs = InputsHdf5DpfGenerateResultFile(self)
         self._outputs = OutputsHdf5DpfGenerateResultFile(self)
+        if h5_native_compression is not None:
+            self.inputs.h5_native_compression.connect(h5_native_compression)
         if export_floats is not None:
             self.inputs.export_floats.connect(export_floats)
         if filename is not None:
@@ -131,6 +143,16 @@ def _spec():
         spec = Specification(
             description=description,
             map_input_pin_spec={
+                -2: PinSpecification(
+                    name="h5_native_compression",
+                    type_names=["int32"],
+                    optional=True,
+                    document="""Integer value that defines the h5 native
+        compression used 0: no compression
+        (default)1-9: gzip level compression
+        : 9 gives us maximum compression but
+        at the slowest speed.""",
+                ),
                 -1: PinSpecification(
                     name="export_floats",
                     type_names=["bool"],
@@ -257,6 +279,8 @@ class InputsHdf5DpfGenerateResultFile(_Inputs):
     --------
     >>> from ansys.dpf import core as dpf
     >>> op = dpf.operators.serialization.hdf5dpf_generate_result_file()
+    >>> my_h5_native_compression = int()
+    >>> op.inputs.h5_native_compression.connect(my_h5_native_compression)
     >>> my_export_floats = bool()
     >>> op.inputs.export_floats.connect(my_export_floats)
     >>> my_filename = str()
@@ -275,6 +299,10 @@ class InputsHdf5DpfGenerateResultFile(_Inputs):
 
     def __init__(self, op: Operator):
         super().__init__(hdf5dpf_generate_result_file._spec().inputs, op)
+        self._h5_native_compression = Input(
+            hdf5dpf_generate_result_file._spec().input_pin(-2), -2, op, -1
+        )
+        self._inputs.append(self._h5_native_compression)
         self._export_floats = Input(
             hdf5dpf_generate_result_file._spec().input_pin(-1), -1, op, -1
         )
@@ -304,6 +332,30 @@ def __init__(self, op: Operator):
         )
         self._inputs.append(self._input_name2)
 
+    @property
+    def h5_native_compression(self):
+        """Allows to connect h5_native_compression input to the operator.
+
+        Integer value that defines the h5 native
+        compression used 0: no compression
+        (default)1-9: gzip level compression
+        : 9 gives us maximum compression but
+        at the slowest speed.
+
+        Parameters
+        ----------
+        my_h5_native_compression : int
+
+        Examples
+        --------
+        >>> from ansys.dpf import core as dpf
+        >>> op = dpf.operators.serialization.hdf5dpf_generate_result_file()
+        >>> op.inputs.h5_native_compression.connect(my_h5_native_compression)
+        >>> # or
+        >>> op.inputs.h5_native_compression(my_h5_native_compression)
+        """
+        return self._h5_native_compression
+
     @property
     def export_floats(self):
         """Allows to connect export_floats input to the operator.

src/ansys/dpf/gate/_version.py

@@ -1,7 +1,7 @@
 """Version for ansys-dpf-gate"""
 # major, minor, patch
-version_info = 0, 4, "2.dev0"
-__ansys_version__ = "241"
+version_info = 0, 5, "0.dev0"
+__ansys_version__ = "242"
 
 # Nice string for the version
 __version__ = ".".join(map(str, version_info))

src/ansys/dpf/gatebin/_version.py

@@ -1,6 +1,6 @@
 """Version for ansys-dpf-gatebin"""
 # major, minor, patch
-version_info = 0, 4, "2.dev0"
+version_info = 0, 5, "0.dev0"
 
 # Nice string for the version
 __version__ = ".".join(map(str, version_info))

src/ansys/grpc/dpf/_version.py

@@ -1,2 +1,2 @@
 """ansys-grpc-dpf python protocol version"""
-__version__ = '0.8.2dev0'  # major.minor.patch
+__version__ = '0.9.0dev0'  # major.minor.patch