1 files changed, 0 insertions, 57 deletions
diff --git a/unused/weight.py b/unused/weight.py
deleted file mode 100644
index 4bd4af4..0000000
--- a/unused/weight.py
+++ /dev/null
@@ -1,57 +0,0 @@
-        weights_total = sum(
-            map(lambda x: x["weight"], self.probabilities())
-        ) + (255 * 255 * 255)
-        choice = random.randint(0, weights_total)
-        position = 0
-        for elem in self.probabilities():
-            position += elem["weight"]
-            if position >= choice:
-                self.value = elem["value"]
-                return
-
-        weights_total = sum(
-                map(lambda x: x["weight"], self.probabilities())
-            )# + self.range_max - self.range_min
-        if weights_total < 100:
-            weights_total = 100;
-        choice = random.randint(0, weights_total)
-        import sys
-        sys.stderr.write("choosing %s: random_int: %s, probabilities: %s\n" % (
-            self.name,
-            choice,
-            self.probabilities()))
-        position = 0
-        for elem in self.probabilities():
-            position += elem["weight"]
-            if position >= choice:
-                self.value = elem["value"]
-                return
-
-
-        weights_total = sum(map(lambda x: x["weight"], self.probabilities()))
-        choice = random.randint(0, weights_total)
-        position = 0
-        for elem in self.probabilities():
-            position += elem["weight"]
-            if position >= choice:
-                self.value = elem["value"]
-                break
-    def _choose_heaviest(self):
-        heaviest_idx = 0
-        heaviest_weight = 0
-        idx = 0
-        if (len(self.options())):
-            for elem in self.options():
-                if elem["weight"] > heaviest_weight:
-                    heaviest_weight = elem["weight"]
-                    heaviest_idx = idx
-                idx += 1
-            return self.options()[heaviest_idx]["value"]
-        else:
-            self.randomize()
-
-    def heaviest(self):
-        self.value = self._choose_heaviest()
-
-    """default value is the probability with the heaviest weight"""
-    self.default(self._choose_heaviest())