add padding function to imgScalePadding()

.CondaPkg/env/Lib/site-packages/scipy/interpolate/_interpnd_info.py

@@ -1,37 +0,0 @@
-"""
-Here we perform some symbolic computations required for the N-D
-interpolation routines in `interpnd.pyx`.
-
-"""
-from sympy import symbols, binomial, Matrix
-
-
-def _estimate_gradients_2d_global():
-
-    #
-    # Compute
-    #
-    #
-
-    f1, f2, df1, df2, x = symbols(['f1', 'f2', 'df1', 'df2', 'x'])
-    c = [f1, (df1 + 3*f1)/3, (df2 + 3*f2)/3, f2]
-
-    w = 0
-    for k in range(4):
-        w += binomial(3, k) * c[k] * x**k*(1-x)**(3-k)
-
-    wpp = w.diff(x, 2).expand()
-    intwpp2 = (wpp**2).integrate((x, 0, 1)).expand()
-
-    A = Matrix([[intwpp2.coeff(df1**2), intwpp2.coeff(df1*df2)/2],
-                [intwpp2.coeff(df1*df2)/2, intwpp2.coeff(df2**2)]])
-
-    B = Matrix([[intwpp2.coeff(df1).subs(df2, 0)],
-                [intwpp2.coeff(df2).subs(df1, 0)]]) / 2
-
-    print("A")
-    print(A)
-    print("B")
-    print(B)
-    print("solution")
-    print(A.inv() * B)