aspp-latam / 2023-mexico-scientific-programming-patterns Goto Github PK

• In a new module next_steps_proposals.py, write 2 functions for 2 different next step proposals: a Gaussian one (it's the one currently in the Walker code) and a square one (you can find an example in the exercise notebook)
• Modify the constructor of Walker to take as arguments 1) a next_step_proposal function and 2) a next_step_proposal_arguments dictionary containing the arguments to pass to the function
• Modify the notebook to run two simulations, one with the Gaussian proposal and one with the square proposal

Remember to reload the notebook kernel when you modify the code in you modules, as modules are cached during the first import and changes would not be visible.

• Make the function update_position into a method of the class Particle
• Where does the position (x, y) of the particle belong? Modify the constructor of the class Particle if necessary

• Move the context map initialization to 3 functions in a separate context_maps.py module
• Modify the constructor of Walker to take a context_map array instead of a map_type
• Modify the notebook to use the new code

Remember to reload the notebook kernel when you modify the code in you modules, as modules are cached during the first import and changes would not be visible.

• Complete the run.py script
• In the file, at the top we give the desired parameters for the run
• Create a context map and walker (see previous exercises for reference)
• Simulate a trajectory (see previous exercises for reference)
• Save the trajectory using np.save(), and also save some metadata
• Run the run.py script twice and confirm the results are identical by plotting them using the provided notebook

Reformat the code in walker.py from functions to a class