# transform.py
# ------------
# By MWC Contributors
# 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
    largest= data[0]
    for n in data:
        if n > largest:
            largest = n
    return largest


def minimum(data):
   #Returns the smallest number in data
    smallest= data[0]
    for n in data:
        if n < smallest:
            smallest = n
    return smallest

def bounds(data):
#Returns a list of the smallest and largest numbers in data
    smallest= data[0]   
    largest= data[0]
    for n in data:
        if n < smallest:
            smallest = n 
        if n > largest:
            largest = n
    return [smallest,largest]        

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."""
#    
    if value > high:
        return high
    elif value < low:
        return low
    else:
        return value

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.
    """
    r= (value - start) / (end - start)   
    if start==end:
        return 0.0
    if r < 0.0:
        return 0.0
    elif r > 1.0:
        return 1.0
    else:
        return r
def scale(value, domain_min, domain_max, range_min, range_max):
#     "Given a value within a domain, returns the scaled equivalent within range."

    if domain_min == domain_max:
        return range_min
    r = (value - domain_min) / (domain_max - domain_min)
    return range_min + r * (range_max - range_min) 

def get_x_values(points):
#     "Returns the first value for each point in points."
    x_values=[] 
    for i in points:
        x_values.append(i[0])
    return x_values

def get_y_values(points):
#     "Returns the second value for each point in points."
    y_values = []
    for i in points:
        y_values.append(i[1]) 
    return y_values