Fix things

a1.py

@@ -1,5 +1,5 @@
 # These could be from the std math lib, but I like the numpy ones better personally
-from numpy import sin, cos, pi, sqrt, pow
+from numpy import sin, cos, pi, sqrt
 
 # Pull a1 support
 from a1_support import GRAVITY_ACC, WATER_DENSITY, HELP_MESSAGE
@@ -145,7 +145,7 @@ def calc_heights_water_out(initial_height: float, final_height: float,
         water_mass.append(water_mass_out)
 
 
-    return water_height, water_mass
+    return tuple(water_height), tuple(water_mass)
 
 # Task 7
 def calc_energy_power(heights: tuple[float, ...], water_mass_outs: tuple[float, ...], 
@@ -167,7 +167,7 @@ def calc_energy_power(heights: tuple[float, ...], water_mass_outs: tuple[float,
 def calc_daily_profit(energy: tuple[float, ...], peak_tariff: float, 
                       off_peak_tariff: float, efficiency: float) -> float:
     
-    total_profit = sum(energy) * (peak_tariff - off_peak_tariff / pow(efficiency/100, 2))   
+    total_profit = sum(energy) * (peak_tariff - off_peak_tariff / ((efficiency/100)**2))   
 
     return total_profit
 

generate_prams.py

@@ -0,0 +1,37 @@
+import a1
+
+import json, pprint, random
+
+# Enums, never heard of her
+class PRIVOUS_TASK: pass
+class EXACT: pass
+
+TESTS = (
+    (
+        3, # Task
+        5, # Number of tests
+        a1.determine_cost_to_pump, # The function to test
+        ( # The args and their ranges
+            ("gen_power", (float, 100, 600, 50)), # Type, min, max, inc
+            ("pumping_time", (float, 1, 10, 1)), 
+            ("off_peak_tariff", (float, 0.01, 0.1, 0.01)),
+        )
+    ),
+)
+
+for task, iterations, function, args in TESTS:
+    print(f'\nTask {task}')
+    
+    args_used = []
+    results = []
+    for i in range(iterations):
+        this_arg = {}
+        for arg, vals in args:
+            this_arg[arg] = random.randrange(vals[1], vals[2], vals[3])
+
+        args_used.append(this_arg)
+        results.append(function(*args_used[-1]))
+
+    pprint(args_used)
+    pprint(results)
+