def _evalAndDer(self,x):
        '''
        Returns the level and first derivative of the function at each value in
        x.  Only called internally by HARKinterpolator1D.eval_and_der.
        '''
        m = len(x)
        fx = np.zeros((m,self.funcCount))
        for j in range(self.funcCount):
            fx[:,j] = self.functions[j](x)
        fx[np.isnan(fx)] = np.inf
        i = np.argmin(fx,axis=1)
        y = fx[np.arange(m),i]
        dydx = np.zeros_like(y)
        for j in range(self.funcCount):
            c = i == j
            dydx[c] = self.functions[j].derivative(x[c])
        return y,dydx
def _evalAndDer ( self , x ) : m = len ( x ) fx = np . zeros ( ( m , self . funcCount ) ) for j in range ( self . funcCount ) : fx [ : , j ] = self . functions [ j ] ( x ) fx [ np . isnan ( fx ) ] = np . inf i = np . argmin ( fx , axis = 1 ) y = fx [ np . arange ( m ) , i ] dydx = np . zeros_like ( y ) for j in range ( self . funcCount ) : c = i == j dydx [ c ] = self . functions [ j ] . derivative ( x [ c ] ) return y , dydx
Returns the level and first derivative of the function at each value in
        x.  Only called internally by HARKinterpolator1D.eval_and_der.