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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def bukin(self, x):
 """Bukin function from Wikipedia, generalized simplistically from 2-D. http://en.wikipedia.org/wiki/Test_functions_for_optimization"""

        s = 0
        for k in xrange((1+len(x)) // 2):
            z = x[2 * k]
            y = x[min((2*k + 1, len(x)-1))]
            s += 100 * np.abs(y - 0.01 * z**2)**0.5 + 0.01 * np.abs(z + 10)
        return s