transform.py test_transform.py

transform.py

@@ -4,40 +4,69 @@
 # The functions in this module transform data. 
 # None of them are finished; this is your job!
 
-def maximum(data):
-    "Returns the largest number in data"
-    raise NotImplementedError
+import sys
 
+def maximum(data):
+    highest = None
+    for number in data:
+        if highest is None:
+            highest = number
+        if number > highest:
+            highest = number
+    return highest
+   
+    
 def minimum(data):
-    "Returns the smallest number in data"
-    raise NotImplementedError
+    lowest = None
+    for number in data:
+        if lowest is None:
+            lowest = number
+        if number < lowest:
+            lowest = number
+    return lowest
+
 
 def bounds(data):
-    "Returns a list of the smallest and largest numbers in data"
-    raise NotImplementedError
-
+    highest = None
+    lowest = None
+    for number in data:
+        if highest is None:
+            highest = number
+        if lowest is None:
+            lowest = number
+        if number > highest:
+            highest = number
+        if number < lowest:
+            lowest = number
+    return [lowest, highest]
+   
 def clamp(value, low, high):
-    """Clamps a value to a range from low to high. 
-    Returns value if it is between low and high.
-    If value is lower than low, returns low. If value is higher than high, returns high.
-    """
-    raise NotImplementedError
+    if value >= low and value <= high:
+        return value
+    elif value < low:
+        return low
+    elif value > high:
+        return high
+
 
 def ratio(value, start, end):
-    """Returns a number from 0.0 to 1.0, representing how far along value is from start to end.
-    The return value is clamped to [0, 1], so even if value is lower than start, the return 
-    value will not be lower than 0.0.
-    """
-    raise NotImplementedError
+    ratio = (value - start)/(end - start)
+    return clamp(ratio,0,1)
+
+
 
 def scale(value, domain_min, domain_max, range_min, range_max):
-    "Given a value within a domain, returns the scaled equivalent within range."
-    raise NotImplementedError
+    scale = range_min + (ratio(value, domain_min, domain_max)) * (range_max - range_min)
+    return scale
+
 
 def get_x_values(points):
-    "Returns the first value for each point in points."
-    raise NotImplementedError
-
+    for (x, y) in points:
+        return ([x], )
+    
 def get_y_values(points):
-    "Returns the second value for each point in points."
-    raise NotImplementedError
+    for (x, y) in points:
+        return ([y], )
+       
+    
+