From your laptop to large-scale simulations with five lines of Python.
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 WRF 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 WRF simulation will then be sent to a cloud machine for execution.
"""WRF Simulation."""
import inductiva
# Allocate cloud machine on Google Cloud Platform
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c2d-highcpu-4",
spot=True)
# Download example configuration files from Inductiva storage
input_dir = inductiva.utils.download_from_url(
"https://storage.googleapis.com/inductiva-api-demo-files/"
"wrf-input-example.zip",
unzip=True)
# Initialize the Simulator
wrf = inductiva.simulators.WRF( \
version="4.6.1")
# Run simulation
task = wrf.run( \
input_dir=input_dir,
init_commands=["./ideal.exe"],
case_name="em_fire",
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 WRF 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!