only sample neighboring windows
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@@ -4,7 +4,9 @@ from copy import deepcopy
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import matplotlib.pyplot as plt
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import numpy as np
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from adaptiveumbrella.runner import UmbrellaRunner
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import sys
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sys.path.append('..')
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from adaptiveumbrella.runner import UmbrellaRunner
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class WHAM2DRunner(UmbrellaRunner):
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@@ -105,18 +107,25 @@ class MyUmbrellaRunner(WHAM2DRunner):
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print("Writing new pmf to {}".format(filename))
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pmf_to_plot = deepcopy(self.pmf.T)
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pmf_to_plot[pmf_to_plot < 0] = None
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plt.figure()
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plt.imshow(pmf_to_plot, origin="bottom", cmap='jet')
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ticks = [(x,x) for x in [-3, -2, -1, 0, 1, 2, 3]]
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tick_positions = [ self._get_index_for_lambdas(x)[0] for x in ticks ]
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tick_labels = [ str(x[0]) for x in ticks ]
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plt.xticks(tick_positions, tick_labels)
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plt.yticks(tick_positions, tick_labels)
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frames_to_plot = deepcopy(self.sample_list.T)
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frames_to_plot[frames_to_plot == 0] = None
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cb = plt.colorbar(pad=0.1)
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fig, (ax0, ax1) = plt.subplots(ncols=2, sharey=True)
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im = ax0.imshow(pmf_to_plot, origin="bottom", cmap='jet')
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cb = fig.colorbar(im, ax=ax0)
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cb.set_label("kJ/mol")
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im2 = ax1.imshow(frames_to_plot, origin="bottom")
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cb2 = fig.colorbar(im2, ax=ax1, ticks=np.arange(0, self.max_iterations))
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cb.set_label("cycle")
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# ticks = [(x,x) for x in [-3, -2, -1, 0, 1, 2, 3]]
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# tick_positions = [ self._get_index_for_lambdas(x)[0] for x in ticks ]
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# tick_labels = [ str(x[0]) for x in ticks ]
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# ax1.set_xticks(tick_positions, tick_labels)
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# ax1.set_yticks(tick_positions, tick_labels)
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# ax2.set_xticks(tick_positions, tick_labels)
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# ax2.set_yticks(tick_positions, tick_labels)
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plt.savefig(filename)
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os.system("cp {} {}".format(filename, "tmp/pmf_current.pdf"))
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@@ -146,6 +155,6 @@ runner.cvs_init = (1.4, -1.4)
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runner.E_min = 10
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runner.E_max = 100
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runner.E_incr = 10
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runner.max_iterations = 30
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runner.max_iterations = 1
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runner.run()
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