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218 lines (200 loc) · 8.49 KB
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// Copyright (c) 2019 by the SciSharp Team
// Code generated by CodeMinion: https://github.com/SciSharp/CodeMinion
using System;
using System.Collections;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Runtime.InteropServices;
using System.Text;
using Numpy.Models;
using Microsoft.VisualStudio.TestTools.UnitTesting;
using Assert = NUnit.Framework.Assert;
namespace Numpy.UnitTest
{
[TestClass]
public class NumPy_paddingTest : BaseTestCase
{
[TestMethod]
public void padTest()
{
// >>> a = [1, 2, 3, 4, 5]
// >>> np.pad(a, (2,3), 'constant', constant_values=(4, 6))
// array([4, 4, 1, 2, 3, 4, 5, 6, 6, 6])
//
#if TODO
var given= a = [1, 2, 3, 4, 5];
given= np.pad(a, (2,3), 'constant', constant_values=(4, 6));
var expected=
"array([4, 4, 1, 2, 3, 4, 5, 6, 6, 6])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2, 3), 'edge')
// array([1, 1, 1, 2, 3, 4, 5, 5, 5, 5])
//
#if TODO
given= np.pad(a, (2, 3), 'edge');
expected=
"array([1, 1, 1, 2, 3, 4, 5, 5, 5, 5])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2, 3), 'linear_ramp', end_values=(5, -4))
// array([ 5, 3, 1, 2, 3, 4, 5, 2, -1, -4])
//
#if TODO
given= np.pad(a, (2, 3), 'linear_ramp', end_values=(5, -4));
expected=
"array([ 5, 3, 1, 2, 3, 4, 5, 2, -1, -4])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2,), 'maximum')
// array([5, 5, 1, 2, 3, 4, 5, 5, 5])
//
#if TODO
given= np.pad(a, (2,), 'maximum');
expected=
"array([5, 5, 1, 2, 3, 4, 5, 5, 5])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2,), 'mean')
// array([3, 3, 1, 2, 3, 4, 5, 3, 3])
//
#if TODO
given= np.pad(a, (2,), 'mean');
expected=
"array([3, 3, 1, 2, 3, 4, 5, 3, 3])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2,), 'median')
// array([3, 3, 1, 2, 3, 4, 5, 3, 3])
//
#if TODO
given= np.pad(a, (2,), 'median');
expected=
"array([3, 3, 1, 2, 3, 4, 5, 3, 3])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> a = [[1, 2], [3, 4]]
// >>> np.pad(a, ((3, 2), (2, 3)), 'minimum')
// array([[1, 1, 1, 2, 1, 1, 1],
// [1, 1, 1, 2, 1, 1, 1],
// [1, 1, 1, 2, 1, 1, 1],
// [1, 1, 1, 2, 1, 1, 1],
// [3, 3, 3, 4, 3, 3, 3],
// [1, 1, 1, 2, 1, 1, 1],
// [1, 1, 1, 2, 1, 1, 1]])
//
#if TODO
given= a = [[1, 2], [3, 4]];
given= np.pad(a, ((3, 2), (2, 3)), 'minimum');
expected=
"array([[1, 1, 1, 2, 1, 1, 1],\n" +
" [1, 1, 1, 2, 1, 1, 1],\n" +
" [1, 1, 1, 2, 1, 1, 1],\n" +
" [1, 1, 1, 2, 1, 1, 1],\n" +
" [3, 3, 3, 4, 3, 3, 3],\n" +
" [1, 1, 1, 2, 1, 1, 1],\n" +
" [1, 1, 1, 2, 1, 1, 1]])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> a = [1, 2, 3, 4, 5]
// >>> np.pad(a, (2, 3), 'reflect')
// array([3, 2, 1, 2, 3, 4, 5, 4, 3, 2])
//
#if TODO
given= a = [1, 2, 3, 4, 5];
given= np.pad(a, (2, 3), 'reflect');
expected=
"array([3, 2, 1, 2, 3, 4, 5, 4, 3, 2])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2, 3), 'reflect', reflect_type='odd')
// array([-1, 0, 1, 2, 3, 4, 5, 6, 7, 8])
//
#if TODO
given= np.pad(a, (2, 3), 'reflect', reflect_type='odd');
expected=
"array([-1, 0, 1, 2, 3, 4, 5, 6, 7, 8])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2, 3), 'symmetric')
// array([2, 1, 1, 2, 3, 4, 5, 5, 4, 3])
//
#if TODO
given= np.pad(a, (2, 3), 'symmetric');
expected=
"array([2, 1, 1, 2, 3, 4, 5, 5, 4, 3])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2, 3), 'symmetric', reflect_type='odd')
// array([0, 1, 1, 2, 3, 4, 5, 5, 6, 7])
//
#if TODO
given= np.pad(a, (2, 3), 'symmetric', reflect_type='odd');
expected=
"array([0, 1, 1, 2, 3, 4, 5, 5, 6, 7])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> np.pad(a, (2, 3), 'wrap')
// array([4, 5, 1, 2, 3, 4, 5, 1, 2, 3])
//
#if TODO
given= np.pad(a, (2, 3), 'wrap');
expected=
"array([4, 5, 1, 2, 3, 4, 5, 1, 2, 3])";
Assert.AreEqual(expected, given.repr);
#endif
// >>> def pad_with(vector, pad_width, iaxis, kwargs):
// ... pad_value = kwargs.get('padder', 10)
// ... vector[:pad_width[0]] = pad_value
// ... vector[-pad_width[1]:] = pad_value
// ... return vector
// >>> a = np.arange(6)
// >>> a = a.reshape((2, 3))
// >>> np.pad(a, 2, pad_with)
// array([[10, 10, 10, 10, 10, 10, 10],
// [10, 10, 10, 10, 10, 10, 10],
// [10, 10, 0, 1, 2, 10, 10],
// [10, 10, 3, 4, 5, 10, 10],
// [10, 10, 10, 10, 10, 10, 10],
// [10, 10, 10, 10, 10, 10, 10]])
// >>> np.pad(a, 2, pad_with, padder=100)
// array([[100, 100, 100, 100, 100, 100, 100],
// [100, 100, 100, 100, 100, 100, 100],
// [100, 100, 0, 1, 2, 100, 100],
// [100, 100, 3, 4, 5, 100, 100],
// [100, 100, 100, 100, 100, 100, 100],
// [100, 100, 100, 100, 100, 100, 100]])
//
#if TODO
given= def pad_with(vector, pad_width, iaxis, kwargs):;
expected=
"... pad_value = kwargs.get('padder', 10)\n" +
"... vector[:pad_width[0]] = pad_value\n" +
"... vector[-pad_width[1]:] = pad_value\n" +
"... return vector";
Assert.AreEqual(expected, given.repr);
given= a = np.arange(6);
given= a = a.reshape((2, 3));
given= np.pad(a, 2, pad_with);
expected=
"array([[10, 10, 10, 10, 10, 10, 10],\n" +
" [10, 10, 10, 10, 10, 10, 10],\n" +
" [10, 10, 0, 1, 2, 10, 10],\n" +
" [10, 10, 3, 4, 5, 10, 10],\n" +
" [10, 10, 10, 10, 10, 10, 10],\n" +
" [10, 10, 10, 10, 10, 10, 10]])";
Assert.AreEqual(expected, given.repr);
given= np.pad(a, 2, pad_with, padder=100);
expected=
"array([[100, 100, 100, 100, 100, 100, 100],\n" +
" [100, 100, 100, 100, 100, 100, 100],\n" +
" [100, 100, 0, 1, 2, 100, 100],\n" +
" [100, 100, 3, 4, 5, 100, 100],\n" +
" [100, 100, 100, 100, 100, 100, 100],\n" +
" [100, 100, 100, 100, 100, 100, 100]])";
Assert.AreEqual(expected, given.repr);
#endif
}
}
}