Update with 2024 material
This commit is contained in:
commit
bc0499bec9
96 changed files with 8140 additions and 0 deletions
46
notebooks/walker/Step_6_loading_parameters_from_file/run.py
Normal file
46
notebooks/walker/Step_6_loading_parameters_from_file/run.py
Normal file
|
@ -0,0 +1,46 @@
|
|||
import json
|
||||
import time
|
||||
|
||||
import git
|
||||
import numpy as np
|
||||
|
||||
import context_maps
|
||||
from walker import Walker
|
||||
|
||||
# Use the following parameters to simulate and save a trajectory of the walker
|
||||
|
||||
seed = 42
|
||||
sigma_i = 3
|
||||
sigma_j = 4
|
||||
size = 200
|
||||
i, j = (50, 100)
|
||||
n_iterations = 1000
|
||||
# USE map_type hills
|
||||
random_state = np.random.RandomState(seed)
|
||||
|
||||
# STEP 1: Create a context map
|
||||
context_map = context_maps.hills_context_map_builder(size)
|
||||
|
||||
# STEP 2: Create a Walker
|
||||
walker = Walker(sigma_i, sigma_j, context_map)
|
||||
|
||||
# STEP 3: Simulate the walk
|
||||
|
||||
trajectory = []
|
||||
for _ in range(n_iterations):
|
||||
i, j = walker.sample_next_step(i, j, random_state)
|
||||
trajectory.append((i, j))
|
||||
|
||||
# STEP 4: Save the trajectory
|
||||
curr_time = time.strftime("%Y%m%d-%H%M%S")
|
||||
np.save(f"sim_{curr_time}", trajectory)
|
||||
|
||||
|
||||
# STEP 5: Save the metadata
|
||||
# lookup git repository
|
||||
repo = git.Repo(search_parent_directories=True)
|
||||
sha = repo.head.object.hexsha
|
||||
|
||||
with open('meta.txt', 'w') as f:
|
||||
f.write(f'I estimated parameters at {curr_time}.\n')
|
||||
f.write(f'The git repo was at commit {sha}')
|
Loading…
Add table
Add a link
Reference in a new issue