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import os
from plotter import Plotter
class Research:
def __init__(self, model, name):
self.model = model
self.name = name
self.plotter = Plotter()
self.path = os.path.join('data', name)
os.makedirs(self.path, exist_ok=True)
self.model_path = os.path.join(self.path, 'model.npy')
self.solution_path = os.path.join(self.path, 'solution.npy')
def load(self):
if os.path.exists(self.solution_path):
self.model.load(self.solution_path)
return 1
if os.path.exists(self.model_path):
self.model.load(self.model_path)
return 0
def solve(self, precision=10 ** -4, preview=True, save_plot=False, save_model=False):
error = 1
iteration = 0
while error > precision:
iteration += 1
self.model.iterate()
error = self.model.avg_error()
print(f'Iteration {iteration}, avg error: {error}')
if iteration % 10 == 0 or iteration == 1:
if preview or save_plot:
self.plotter.plot(self.model, normalize=True)
if preview:
self.plotter.show()
if save_plot:
self.plotter.save(os.path.join(self.path, f'{iteration}.png'))
if iteration % 50 == 0:
if save_model:
self.model.save(self.model_path)
self.model.save(self.solution_path)
self.plotter.plot(self.model, streamplot=True)
self.plotter.save(os.path.join(self.path, f'streamplot.png'))
self.inspect()
def inspect(self):
self.plotter.plot(self.model, streamplot=True)
while True:
self.plotter.show()
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