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HDF5 export and compare precision#
This example shows how to use HDF5 format to export and compare simple precision versus double precision.
Import the dpf-core
module and its examples files, and then create a
temporary directory.
import os
from ansys.dpf import core as dpf
from ansys.dpf.core import examples
from ansys.dpf.core import operators as ops
Create the model and get the stresses, displacements, and mesh.
transient = examples.download_transient_result()
model = dpf.Model(transient)
stress = model.results.stress()
displacement = model.results.displacement()
mesh = model.metadata.meshed_region
Create the HDF5 export operator. The HDF5 module should already be loaded.
h5op = ops.serialization.serialize_to_hdf5()
print(h5op)
DPF serialize_to_hdf5 Operator:
This operator is deprecated: use 'hdf5::h5dpf::make_result_file' instead. Serialize the inputs in an hdf5 format.
Inputs:
file_path [string]: output file path with .h5 extension
export_floats (optional) [bool]: converts double to float to reduce file size (default is true)
export_flat_vectors (optional) [bool]: if true, vectors and matrices data are exported flat (x1,y1,z1,x2,y2,z2..) (default is false)
data (ellipsis) []: only the data set explicitly to export is exported
Run the operator to get its result
Connect the correct time scoping to the results operators (stress and displacement).
timeIds = list(range(1, model.metadata.time_freq_support.n_sets + 1))
stress.inputs.time_scoping.connect(timeIds)
displacement.inputs.time_scoping.connect(timeIds)
Connect inputs of the HDF5 export operator.
h5op.inputs.data1.connect(stress.outputs)
h5op.inputs.data2.connect(displacement.outputs)
h5op.inputs.data3.connect(mesh)
Define a temporary folder for outputs
tmpdir = dpf.core.make_tmp_dir_server(dpf.SERVER)
files = [
dpf.path_utilities.join(tmpdir, "dpf_float.h5"),
dpf.path_utilities.join(tmpdir, "dpf_double.h5"),
]
Export with simple precision.
h5op.inputs.file_path.connect(files[0])
h5op.run()
Export with double precision.
h5op.inputs.export_floats.connect(False)
h5op.inputs.file_path.connect(files[1])
h5op.run()
Download the resulting .h5 files if necessary
if not dpf.SERVER.local_server:
float_file_path = os.path.join(os.getcwd(), "dpf_float.h5")
double_file_path = os.path.join(os.getcwd(), "dpf_double.h5")
dpf.download_file(files[0], float_file_path)
dpf.download_file(files[1], double_file_path)
else:
float_file_path = files[0]
double_file_path = files[1]
Compare simple precision versus double precision.
float_precision = os.stat(float_file_path).st_size
double_precision = os.stat(double_file_path).st_size
print(
f"size with float precision: {float_precision}\n"
f"size with double precision: {double_precision}"
)
size with float precision: 6703264
size with double precision: 13112464
Total running time of the script: (0 minutes 0.187 seconds)