The compute backbone for domain-driven simulation apps.
Before diving into tutorials and benchmarks, let's ensure that your Inductiva Python package is properly set up. To confirm everything is working as expected, simply run a quick SWASH simulation — it only takes a few seconds!
To get started, copy the code below and paste it into a Python script.
When you run the script, all the necessary simulation artifacts and configuration files will be automatically downloaded to your computer. The SWASH simulation will then be sent to a cloud machine for execution.
"""SWASH example."""
import inductiva
# Allocate cloud machine on Google Cloud Platform
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c2d-highcpu-4",
spot=True)
# Download the input files into a folder
input_dir = inductiva.utils.download_from_url(
"https://storage.googleapis.com/inductiva-api-demo-files/"
"swash-input-example.zip",
unzip=True)
# Initialize the Simulator
swash = inductiva.simulators.SWASH( \
version="10.05")
# Run simulation
task = swash.run( \
input_dir=input_dir,
sim_config_filename="input.sws",
on=cloud_machine)
# Wait for the simulation to finish and download the results
task.wait()
cloud_machine.terminate()
task.download_outputs()
task.print_summary()
After the simulation completes, a task summary will be displayed in your terminal. If the task status shows Success, congratulations! You've successfully run a SWASH simulation.
You're ready to start running simulations seamlessly!
If you encounter any issues or need further assistance, don't hesitate to Contact Us. We're here to help!