#estimating the time complexity of the thermal modeling using the time module
import matplotlib.pyplot as plt
import time
import numpy as np
from thermal_model import run_simulation
num_times = 4
days = 0.03 #days
error_space = np.linspace(8*10**(-5), 10**(-4), num=num_times)
results = []
for rtol in error_space:
then = time.time()
run_simulation(days, rtol)
now = time.time()
results.append(now - then)
print("simulation completed for days: " + str(days))
print("Time: " + str(now - then))
plt.plot(error_space, results)
plt.xlabel("time in days")
plt.ylabel("time elapsed for simulation")
plt.show()
#estimating the time complexity of the thermal modeling using the time module
import matplotlib.pyplot as plt
import time
import numpy as np
from thermal_model import run_simulation
num_times = 10
max_time = 0.25 #days
time_space = np.linspace(0.025, max_time, num=num_times)
results = []
for days in time_space:
then = time.time()
run_simulation(days, graphing=False)
now = time.time()
results.append(now - then)
print("simulation completed for days: " + str(days))
print("Time: " + str(now - then))
plt.plot(time_space, results)
plt.xlabel("time in days")
plt.ylabel("time elapsed for simulation")
plt.show()
