Another take on frog.py

frog-2.py

@@ -1,38 +1,38 @@
-def frog(final_dist=100,max=6):
+#import matplotlib
+#import matplotlib.pyplot as plt
+import math
+import random
+
+count = 0
+hops = 0
+average = 0
+remaining = 0
+results = []
+plot = []
+#pad counts to test for
+values = [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500]
+for i in values:
+    remaining = i
+    #run each value 5000 times
+    while count <= 5000:
+        if remaining > 0:
+            remaining -= random.randint(1,remaining)
+            hops +=1
+        if remaining == 0:
+            results.append(hops)
+            average = sum(results) / len(results)
+            count += 1
+            hops = 0
+            remaining = i
+    results = []
 
-    # I wrote this quickly in a pub
-    # Don't judge me
-
-    total_dist = 1
-
-    while total_dist <= final_dist:
-
-        import random
-
-        cap = 10**max
-
-        trials = 0
-        total_leaps = 0
-
-        while trials <= cap:
-
-            dist = total_dist
-            leaps = 0
-
-            while dist > 0:
-                this_jump = int(random.random()*(dist)+1)
-                dist -= this_jump
-                leaps += 1
-
-            total_leaps += leaps
-
-            trials += 1
-
-        print "{0}\t{1}".format(total_dist,(total_leaps*1.0)/trials)
-
-        total_dist += 1
-
-    return "DONE"
-
-
-
+    #print("values = ", i, "  count =", count-1, "  average =", average)
+    #print("{:.2f}".format(average))
+    plot.append("{:.2f}".format(average))
+    count = 0
+    print("Pad Count: ", i, "\tAverage: ", "{:.2f}".format(average))
+#cannot get matplotlib to work correctly with floats. discarding for now.
+#plt.plot(values,plot)
+#plt.show()
+#plt.savefig('test.png')
+