From 19b09990bb43f6c6ace1f4f4a3115093f603ac65 Mon Sep 17 00:00:00 2001 From: rlagha Date: Tue, 14 Nov 2023 08:55:51 +0000 Subject: [PATCH] update generated code --- docs/source/_static/dpf_operators.html | 2 +- .../core/operators/result/migrate_to_h5dpf.py | 88 ++++++++++++++---- .../hdf5dpf_generate_result_file.py | 52 +++++++++++ src/ansys/dpf/gate/_version.py | 4 +- src/ansys/dpf/gatebin/Ans.Dpf.GrpcClient.dll | Bin 10050048 -> 10050048 bytes src/ansys/dpf/gatebin/DPFClientAPI.dll | Bin 856064 -> 856064 bytes src/ansys/dpf/gatebin/_version.py | 2 +- .../dpf/gatebin/libAns.Dpf.GrpcClient.so | Bin 26952192 -> 27028104 bytes src/ansys/dpf/gatebin/libDPFClientAPI.so | Bin 2067888 -> 2067888 bytes src/ansys/grpc/dpf/_version.py | 2 +- 10 files changed, 127 insertions(+), 23 deletions(-) diff --git a/docs/source/_static/dpf_operators.html b/docs/source/_static/dpf_operators.html index 970295ea49..a93bf5e9df 100644 --- a/docs/source/_static/dpf_operators.html +++ b/docs/source/_static/dpf_operators.html @@ -2106,7 +2106,7 @@

Configurating operators

Only linear analysis are supported without On Demand Expansion. All coordinates are global coordinates. Euler Angles need to be included in the database. - Get the XZ shear component (02 component).">

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result: cms dst table provider

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result: spectrum data

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invariant: eigen vectors (on field)

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result: mapdl material properties

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result: mapdl_section

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result: rom data provider

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geo: transform invariant terms rbd

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result: compute invariant terms motion

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result: write motion dfmf file

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result: cyclic expanded element heat flux

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mesh: mesh plan clipper

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mesh: mesh_to_graphics_edges

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serialization: migrate to vtk

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mesh: combine levelset

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mesh: exclude levelset

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mesh: make plane levelset

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mesh: mesh extraction

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mapping: fft

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math: fft gradient evaluation

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math: fft multi harmonic solution minmax

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math: qr solve

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math: svd

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mapping: prep sampling fft

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math: window welch

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serialization: hdf5dpf generate result file

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result: migrate to h5dpf

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utility: hdf5dpf workflow provider

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other: hdf5dpf mesh property provider

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serialization: vtu export

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result: compute total strain Y

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result: cms dst table provider

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result: spectrum data

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invariant: eigen vectors (on field)

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result: mapdl material properties

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result: mapdl_section

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result: rom data provider

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geo: transform invariant terms rbd

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result: compute invariant terms motion

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result: write motion dfmf file

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result: cyclic expanded element heat flux

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mesh: mesh plan clipper

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mesh: mesh_to_graphics_edges

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serialization: migrate to vtk

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mesh: combine levelset

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mesh: exclude levelset

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mesh: make plane levelset

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mesh: mesh extraction

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mapping: fft

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math: fft gradient evaluation

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math: fft multi harmonic solution minmax

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math: qr solve

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math: svd

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mapping: prep sampling fft

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math: window welch

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serialization: hdf5dpf generate result file

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result: migrate to h5dpf

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utility: hdf5dpf workflow provider

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other: hdf5dpf mesh property provider

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serialization: vtu export

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result: compute total strain Y

>> 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. diff --git a/src/ansys/dpf/core/operators/serialization/hdf5dpf_generate_result_file.py b/src/ansys/dpf/core/operators/serialization/hdf5dpf_generate_result_file.py index 626cea33ac..1ac5416f6d 100644 --- a/src/ansys/dpf/core/operators/serialization/hdf5dpf_generate_result_file.py +++ b/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. diff --git a/src/ansys/dpf/gate/_version.py b/src/ansys/dpf/gate/_version.py index e62d53dcaa..4a7256cdd6 100644 --- a/src/ansys/dpf/gate/_version.py +++ b/src/ansys/dpf/gate/_version.py @@ -1,7 +1,7 @@ """Version for ansys-dpf-gate""" # major, minor, patch -version_info = 0, 4, "2.dev0" 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