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https://github.com/edoverg/modeconverter.git
synced 2026-10-14 23:06:39 +00:00
fixed generation of results folder
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@@ -38,6 +38,10 @@
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"\n",
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"\n",
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"mp.verbosity(1)\n",
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"mp.verbosity(1)\n",
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"\n",
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"\n",
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"#setup a results folder\n",
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"if not os.path.exists(\"results\"):\n",
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" os.makedirs(\"results\")\n",
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"\n",
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"subs_index = 3.4\n",
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"subs_index = 3.4\n",
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"subs_perm = subs_index**2\n",
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"subs_perm = subs_index**2\n",
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"\n",
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"\n",
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+4
-4
@@ -17,6 +17,10 @@ import os
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mp.verbosity(1)
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mp.verbosity(1)
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#setup a results folder
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if not os.path.exists("results"):
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os.makedirs("results")
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subs_index = 3.4
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subs_index = 3.4
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subs_perm = subs_index**2
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subs_perm = subs_index**2
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@@ -267,9 +271,6 @@ def f(v, gradient, cur_beta):
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circ2 = Circle((2,2), minimum_length/2)
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circ2 = Circle((2,2), minimum_length/2)
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ax2.add_patch(circ2)
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ax2.add_patch(circ2)
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if not os.path.exists("results"):
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os.makedirs("results")
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plt.savefig("results/iter_{}.pdf".format(cur_iter[0]+1))
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plt.savefig("results/iter_{}.pdf".format(cur_iter[0]+1))
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cur_iter[0] += cur_iter[0] + 1
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cur_iter[0] += cur_iter[0] + 1
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@@ -308,7 +309,6 @@ if optimization_start:
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cur_beta = cur_beta * beta_scale #update beta
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cur_beta = cur_beta * beta_scale #update beta
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print("current beta: ", cur_beta)
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print("current beta: ", cur_beta)
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######RESULTS######
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######RESULTS######
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#plot the figure of merit over iterations
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#plot the figure of merit over iterations
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plt.figure()
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plt.figure()
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