find profiles that produce different outputs for different methods

apportionment/examples/alldifferent.py

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+# Find vote distribution that produces a different apportionments
+# for each of the specified apportionment methods
+
+
+from __future__ import print_function
+import apportionment.methods as app
+from itertools import combinations
+
+
+maxvoters = 20
+parties = 5
+seats = 20
+methods = ["quota", "largest_remainder", "dhondt", "saintelague", "adams"]
+
+
+iterator = combinations(range(1, maxvoters+1), parties)
+
+for iterations, votes in enumerate(iterator):
+    apportionments = set()
+
+    for method in methods:
+        try:  # in case of ties an exception occurs because tiesallowed=False
+            apportionments.add(
+                tuple(app.compute(method, votes, seats,
+                                  tiesallowed=False, verbose=False)))
+        except Exception:
+            pass
+
+    if len(apportionments) == len(methods):
+        break
+else:
+    print("No vote distribution found within the parameter range.")
+    quit()
+
+print("votes = {}".format(votes))
+print("found in {} iterations\n\n".format(iterations))
+
+for method in methods:
+    print("{:>20s}: {}".format(method,
+                               app.compute(method, votes, seats,
+                                           verbose=False)))