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Copy pathtest_xsort.cpp
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567 lines (489 loc) · 21.9 KB
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/***************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
* Copyright (c) QuantStack *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#include "xtensor/containers/xadapt.hpp"
#include "xtensor/containers/xarray.hpp"
#include "xtensor/containers/xfixed.hpp"
#include "xtensor/containers/xtensor.hpp"
#include "xtensor/core/xmath.hpp"
#include "xtensor/generators/xrandom.hpp"
#include "xtensor/io/xinfo.hpp"
#include "xtensor/io/xio.hpp"
#include "xtensor/misc/xsort.hpp"
#include "xtensor/views/xslice.hpp"
#include "xtensor/views/xview.hpp"
#include "test_common_macros.hpp"
namespace xt
{
TEST(xsort, argsort)
{
xarray<double> a1 = {2, 3, 1};
xarray<double, xt::layout_type::column_major> a2_c = {{2, 3, 1}, {4, 6, 5}};
xarray<double, xt::layout_type::row_major> a2_r = {{2, 3, 1}, {4, 6, 5}};
xarray<float> a3 = {{{1, 3, 2}, {4, 2, 1}}, {{5, 1, 3}, {4, 2, 6}}};
xarray<std::size_t> ex = {2, 0, 1};
EXPECT_EQ(ex, argsort(a1, 0));
EXPECT_EQ(ex, argsort(a1));
xarray<std::size_t> ex2_0 = {{0, 0, 0}, {1, 1, 1}};
xarray<std::size_t> ex2_1 = {{2, 0, 1}, {0, 2, 1}};
EXPECT_EQ(ex2_1, argsort(a2_c));
EXPECT_EQ(ex2_1, argsort(a2_r));
EXPECT_EQ(ex2_0, argsort(a2_c, 0));
EXPECT_EQ(ex2_0, argsort(a2_r, 0));
EXPECT_EQ(ex2_1, argsort(a2_c, 1));
EXPECT_EQ(ex2_1, argsort(a2_r, 1));
xarray<std::size_t> ex3_0 = {{{0, 1, 0}, {0, 0, 0}}, {{1, 0, 1}, {1, 1, 1}}};
xarray<std::size_t> ex3_1 = {{{0, 1, 1}, {1, 0, 0}}, {{1, 0, 0}, {0, 1, 1}}};
xarray<std::size_t> ex3_2 = {{{0, 2, 1}, {2, 1, 0}}, {{1, 2, 0}, {1, 0, 2}}};
EXPECT_EQ(ex3_2, argsort(a3));
EXPECT_EQ(ex3_0, argsort(a3, 0));
EXPECT_EQ(ex3_1, argsort(a3, 1));
EXPECT_EQ(ex3_2, argsort(a3, 2));
xtensor<double, 1> t1 = {2, 3, 1};
xtensor<std::size_t, 1> ex4 = {2, 0, 1};
EXPECT_EQ(ex4, argsort(t1, 0));
EXPECT_EQ(ex4, argsort(t1));
if (XTENSOR_DEFAULT_TRAVERSAL == layout_type::row_major)
{
xtensor_fixed<double, xt::xshape<2, 3>> tf1 = a2_r;
EXPECT_EQ(ex2_1, argsort(tf1));
}
else
{
xtensor_fixed<double, xt::xshape<2, 3>> tf1 = a2_c;
EXPECT_EQ(ex2_1, argsort(tf1));
}
}
TEST(xsort, argsort_zero_stride)
{
{
xt::xtensor<double, 2> A = {{1.4, 1.3, 1.2, 1.1}};
xt::xtensor<size_t, 2> bsort = {{0, 0, 0, 0}};
xt::xtensor<size_t, 2> fsort = {{3, 2, 1, 0}};
EXPECT_EQ(bsort, xt::argsort(A, 0));
EXPECT_EQ(fsort, xt::argsort(A, 1));
EXPECT_EQ(fsort, xt::argsort(A));
}
{
xt::xtensor<double, 3> A = {{{1.4, 1.3, 1.2, 1.1}}};
xt::xtensor<size_t, 3> bsort = {{{0, 0, 0, 0}}};
xt::xtensor<size_t, 3> fsort = {{{3, 2, 1, 0}}};
EXPECT_EQ(bsort, xt::argsort(A, 0));
EXPECT_EQ(bsort, xt::argsort(A, 1));
EXPECT_EQ(fsort, xt::argsort(A, 2));
EXPECT_EQ(fsort, xt::argsort(A));
}
}
TEST(xsort, argsort_zero_stride_column_major)
{
{
xt::xtensor<double, 2, xt::layout_type::column_major> A = {{1.4, 1.3, 1.2, 1.1}};
xt::xtensor<size_t, 2, xt::layout_type::column_major> bsort = {{0, 0, 0, 0}};
xt::xtensor<size_t, 2, xt::layout_type::column_major> fsort = {{3, 2, 1, 0}};
EXPECT_EQ(bsort, xt::argsort(A, 0));
EXPECT_EQ(fsort, xt::argsort(A, 1));
EXPECT_EQ(fsort, xt::argsort(A));
}
{
xt::xtensor<double, 3, xt::layout_type::column_major> A = {{{1.4, 1.3, 1.2, 1.1}}};
xt::xtensor<size_t, 3, xt::layout_type::column_major> bsort = {{{0, 0, 0, 0}}};
xt::xtensor<size_t, 3, xt::layout_type::column_major> fsort = {{{3, 2, 1, 0}}};
EXPECT_EQ(bsort, xt::argsort(A, 0));
EXPECT_EQ(bsort, xt::argsort(A, 1));
EXPECT_EQ(fsort, xt::argsort(A, 2));
EXPECT_EQ(fsort, xt::argsort(A));
}
}
TEST(xsort, flatten_argsort)
{
{
xarray<int, layout_type::row_major> a = {{1, 2, 3}, {4, 5, 6}};
xarray<std::size_t, layout_type::row_major> res = argsort(a, placeholders::xtuph());
xarray<std::size_t, layout_type::row_major> expected = {0, 1, 2, 3, 4, 5};
EXPECT_EQ(res, expected);
}
{
xarray<int, layout_type::column_major> a = {{1, 2, 3}, {4, 5, 6}};
xarray<std::size_t, layout_type::column_major> res = argsort(a, placeholders::xtuph());
xarray<std::size_t, layout_type::column_major> expected = {0, 1, 2, 3, 4, 5};
EXPECT_EQ(res, expected);
}
}
TEST(xsort, argsort_stable)
{
xt::xarray<int> a = {
2247, 2044, 2037, 1825, 1699, 1600, 1501, 1432, 1440, 1388, 1299, 1259, 1211, 1177, 1124, 1121,
1399, 1179, 1102, 1055, 1017, 1001, 979, 953, 925, 927, 1899, 4782, 2601, 3050, 1998, 3478,
5762, 8745, 7777, 4086, 2968, 2456, 2138, 3199, 7187, 7165, 3942, 11588, 4643, 3618, 3184, 6052,
3723, 3356, 2645, 2330, 2103, 1928, 1890, 3624, 3647, 5821, 2949, 4161, 3855, 5200, 3162, 3896,
19818, 5228, 3711, 4874, 4868, 4267, 2978, 2748, 2500, 2276, 2107, 1969, 1815, 1714, 1649, 1561,
1491, 1428, 1347, 1288, 1245, 1207, 1163, 1189, 1558, 1313, 1186, 1147, 1143, 1099, 1036, 1008,
982, 953, 924, 899, 880, 858, 836, 818, 791, 762, 742, 720, 701, 685, 674, 658,
643, 625, 609, 602, 594, 594, 625, 616, 707, 759, 929, 755, 684, 737, 804, 680,
639, 620, 706, 2474, 1406, 2686, 2037, 1410, 1130, 992, 901, 847, 798, 766, 750, 2793,
1574, 1087, 960, 883, 823, 782, 755, 730, 705, 677, 744, 932, 770, 794, 804, 728,
721, 765, 826, 795, 784, 875, 711, 795, 2295, 1265, 1115, 936, 817, 742, 713, 680,
647, 647, 671, 651, 692, 605, 576, 612, 564, 536, 526, 516, 506, 494, 473, 459,
451, 450, 441, 428, 430, 453, 467, 444, 413, 390, 376, 373, 368, 360, 359, 351,
348, 345, 343, 340, 337, 341, 529, 476, 448, 397, 367, 354, 342, 332, 320, 324,
327, 332, 340, 359, 331, 382, 371, 356, 333, 318, 316, 318, 312, 308, 300, 298,
399, 448, 669, 534, 402, 384, 361, 347, 337, 342, 349, 339, 333, 325, 324, 326,
324, 322, 320, 318, 322, 327, 327, 333, 329, 333, 353, 436, 516, 412, 402, 398,
551, 449, 416, 484, 801, 537, 457, 483, 534, 477, 483, 582, 575, 557, 504, 477,
515, 643, 627, 627, 546, 515, 497, 577, 1439, 1198, 1591, 1815, 1448, 1117, 960, 847,
809, 788, 749, 896, 870, 801, 752
};
xt::xarray<std::size_t> ex = {
239, 238, 237, 236, 234, 233, 235, 259, 222, 258, 257, 260, 223, 254, 256, 253, 255, 224, 261,
262, 264, 228, 221, 225, 232, 252, 263, 265, 212, 248, 251, 211, 226, 213, 220, 249, 210, 209,
247, 208, 250, 207, 266, 219, 231, 206, 227, 205, 246, 218, 204, 230, 203, 202, 229, 245, 201,
217, 271, 240, 244, 270, 269, 200, 274, 195, 196, 267, 194, 199, 216, 241, 273, 193, 192, 197,
278, 191, 198, 190, 215, 281, 287, 279, 282, 275, 189, 294, 286, 188, 288, 293, 187, 268, 186,
214, 243, 280, 185, 277, 292, 272, 285, 184, 284, 182, 295, 283, 116, 117, 115, 181, 114, 183,
119, 129, 113, 118, 290, 291, 128, 112, 289, 176, 177, 179, 111, 242, 178, 110, 153, 127, 175,
124, 109, 180, 108, 152, 130, 120, 166, 174, 107, 160, 159, 151, 125, 106, 173, 154, 306, 142,
310, 123, 150, 121, 105, 161, 141, 156, 149, 164, 305, 104, 157, 163, 167, 140, 276, 309, 126,
158, 304, 172, 103, 148, 162, 102, 139, 303, 101, 308, 165, 100, 147, 307, 99, 138, 98, 24,
25, 122, 155, 171, 23, 97, 146, 302, 22, 96, 137, 21, 95, 20, 94, 19, 145, 93, 18,
170, 301, 15, 14, 136, 92, 91, 86, 13, 17, 90, 87, 297, 85, 12, 84, 11, 169, 83,
10, 89, 82, 9, 16, 132, 135, 81, 7, 296, 8, 300, 80, 6, 88, 79, 144, 298, 5,
78, 4, 77, 76, 299, 3, 54, 26, 53, 75, 30, 2, 134, 1, 52, 74, 38, 0, 73,
168, 51, 37, 131, 72, 28, 50, 133, 71, 143, 58, 36, 70, 29, 62, 46, 39, 49, 31,
45, 55, 56, 66, 48, 60, 63, 42, 35, 59, 69, 44, 27, 68, 67, 61, 65, 32, 57,
47, 41, 40, 34, 33, 43, 64
};
EXPECT_EQ(ex, xt::argsort(a, {0}, xt::sorting_method::stable));
}
TEST(xsort, sort_easy)
{
xarray<double> a = {{5, 3, 1}, {4, 4, 4}};
xarray<double> ex = {1, 3, 4, 4, 4, 5};
EXPECT_EQ(ex, sort(a, xnone()));
auto n_ex = sort(ex);
EXPECT_EQ(n_ex, ex);
auto n_ex_0 = sort(ex, 0);
EXPECT_EQ(n_ex, ex);
xarray<double> ex_2 = {{4, 3, 1}, {5, 4, 4}};
EXPECT_EQ(ex_2, sort(a, 0));
xarray<double> ex_3 = {{1, 3, 5}, {4, 4, 4}};
EXPECT_EQ(ex_3, sort(a, 1));
#ifndef XTENSOR_DISABLE_EXCEPTIONS
xt::xarray<double> xarr = xt::eval(xt::arange(0, 16));
xarr.reshape({4, 4});
auto view = xt::reshape_view(xt::transpose(xarr, {1, 0}), {2, 8});
EXPECT_NO_THROW(xt::sort(view, 0));
#endif
}
TEST(xsort, fixed)
{
xtensor_fixed<double, xshape<4, 3>> a = {{5, 3, 1}, {4, 4, 4}, {5, 9, 1}, {2, 4, 2}};
xarray<double> b = {{5, 3, 1}, {4, 4, 4}, {5, 9, 1}, {2, 4, 2}};
EXPECT_EQ(sort(a, xnone()), sort(b, xnone()));
EXPECT_EQ(sort(a), sort(b));
EXPECT_EQ(sort(a, 1), sort(b, 1));
EXPECT_EQ(sort(a, 0), sort(b, 0));
}
TEST(xsort, argmin)
{
xarray<double> a = {{5, 3, 1}, {4, 4, 4}};
xarray<double> b = {1, 3, 4, -100};
xarray<double, layout_type(int(XTENSOR_DEFAULT_LAYOUT) & 0x03)> ar = {{5, 3, 1}, {4, 4, 4}};
xarray<std::size_t> ex = 2ul;
EXPECT_EQ(ex, argmin(a));
EXPECT_EQ(size_t(3), argmin(b)());
EXPECT_EQ(size_t(3), argmin(b, 0)());
xarray<std::size_t> ex_2 = {1, 0, 0};
EXPECT_EQ(ex_2, argmin(a, 0));
xarray<std::size_t> ex_3 = {2, 0};
EXPECT_EQ(ex_3, argmin(a, 1));
xtensor<double, 2> xa = {{5, 3, 1}, {4, 4, 4}};
EXPECT_EQ(ex, argmin(xa));
EXPECT_EQ(ex_2, argmin(xa, 0));
EXPECT_EQ(ex_3, argmin(xa, 1));
xtensor<double, 1> ya = {1, 0, 3, 2, 2};
EXPECT_EQ(1, argmin(ya)());
EXPECT_EQ(1, argmin(ya, 0)());
}
TEST(xsort, argmax)
{
xarray<double> a = {{5, 3, 1}, {4, 4, 4}};
EXPECT_EQ(0ul, argmax(a)());
xarray<std::size_t> ex_2 = {0, 1, 1};
EXPECT_EQ(ex_2, argmax(a, 0));
xarray<std::size_t> ex_3 = {0, 0};
EXPECT_EQ(ex_3, argmax(a, 1));
xtensor<int, 2> b = {{1, 2}};
auto res = xt::eval(xt::argmax(b, 1));
EXPECT_EQ(res(), 1u);
xtensor<int, 3> c = {{{1, 2, 3, 4}}, {{4, 3, 2, 1}}};
xtensor<std::size_t, 2> ex_4 = {{3}, {0}};
EXPECT_EQ(ex_4, argmax(c, 2));
xtensor<std::size_t, 2> ex_5 = {{1, 1, 0, 0}};
EXPECT_EQ(ex_5, argmax(c, 0));
xtensor<std::size_t, 2> ex_6 = {{0, 0, 0, 0}, {0, 0, 0, 0}};
EXPECT_EQ(ex_6, argmax(c, 1));
xtensor<double, 1> ya = {1, 0, 3, 2, 2};
EXPECT_EQ(2, argmax(ya)());
EXPECT_EQ(2, argmax(ya, 0)());
// xtensor#2568
xarray<double> d = {0, 1, 0};
xtensor<size_t, 0> d_ex_1 = {1};
EXPECT_EQ(d_ex_1, argmax(d));
EXPECT_EQ(1, argmax(d)(0));
}
TEST(xsort, sort_large_prob)
{
for (std::size_t i = 0; i < 20; ++i)
{
xarray<double> a = xt::random::rand<double>({5, 5, 100, 10});
auto a_s0 = sort(a, 0);
auto va_s0 = view(a_s0, xt::all(), 3, 45, 3);
EXPECT_TRUE(std::is_sorted(va_s0.begin(), va_s0.end()));
auto a_s1 = sort(a, 1);
auto va_s1 = view(a_s1, 0, xt::all(), 0, 0);
EXPECT_TRUE(std::is_sorted(va_s1.begin(), va_s1.end()));
auto a_s2 = sort(a, 2);
auto va_s2 = view(a_s2, 3, 1, xt::all(), 3);
EXPECT_TRUE(std::is_sorted(va_s2.begin(), va_s2.end()));
auto a_s3 = sort(a, 3);
auto va_s3 = view(a_s3, 4, 3, 45, xt::all());
EXPECT_TRUE(std::is_sorted(va_s3.begin(), va_s3.end()));
}
}
TEST(xsort, argmax_prob)
{
for (std::size_t i = 0; i < 20; ++i)
{
xarray<double> a = xt::random::rand<double>({5, 4, 6, 7});
auto a_s0 = argmin<XTENSOR_DEFAULT_LAYOUT>(a, 0);
auto va_s0 = view(a, xt::all(), 3, 2, 3);
auto m0_idx = a_s0(3, 2, 3);
auto it0 = std::min_element(va_s0.begin(), va_s0.end());
auto c0_idx = std::distance(va_s0.begin(), it0);
EXPECT_EQ(static_cast<size_t>(c0_idx), m0_idx);
auto a_s1 = argmin<XTENSOR_DEFAULT_LAYOUT>(a, 1);
auto va_s1 = view(a, 3, xt::all(), 2, 3);
auto m1_idx = a_s1(3, 2, 3);
auto it1 = std::min_element(va_s1.begin(), va_s1.end());
auto c1_idx = std::distance(va_s1.begin(), it1);
EXPECT_EQ(static_cast<size_t>(c1_idx), m1_idx);
auto a_s2 = argmin<XTENSOR_DEFAULT_LAYOUT>(a, 2);
auto va_s2 = view(a, 3, 2, xt::all(), 3);
auto m2_idx = a_s2(3, 2, 3);
auto it2 = std::min_element(va_s2.begin(), va_s2.end());
auto c2_idx = std::distance(va_s2.begin(), it2);
EXPECT_EQ(static_cast<size_t>(c2_idx), m2_idx);
auto a_s3 = argmin<XTENSOR_DEFAULT_LAYOUT>(a, 3);
auto va_s3 = view(a, 3, 2, 3, xt::all());
auto m3_idx = a_s3(3, 2, 3);
auto it3 = std::min_element(va_s3.begin(), va_s3.end());
auto c3_idx = std::distance(va_s3.begin(), it3);
EXPECT_EQ(static_cast<size_t>(c3_idx), m3_idx);
}
}
TEST(xsort, unique)
{
xarray<double> a = {1, 2, 3, 5, 3, 2, 1, 2, 2, 2, 2, 2, 2, 45};
xarray<double> ax = {1, 2, 3, 5, 45};
EXPECT_EQ(unique(a), ax);
xarray<double> b = {{1, 2, 3}, {4, 5, 6}, {7, 8, 9}};
xarray<double> bx = {1, 2, 3, 4, 5, 6, 7, 8, 9};
EXPECT_EQ(unique(b), bx);
xarray<double> bb = {{1, 2, 3}, {7, 8, 9}, {4, 5, 6}, {7, 8, 9}};
xarray<double> bbx = {1, 2, 3, 4, 5, 6, 7, 8, 9};
EXPECT_EQ(unique(bb), bbx);
auto c = view(b, range(0, 3), range(0, 3));
auto d = unique(c);
EXPECT_EQ(d, bx);
auto e = xt::unique(xt::where(xt::greater(b, 2), 1, 0));
xarray<double> ex = {0, 1};
EXPECT_EQ(e, ex);
}
TEST(xsort, setdiff1d)
{
{
xarray<size_t> ar1 = {1, 2, 3, 4, 4, 4, 5};
xarray<size_t> ar2 = {4, 5};
xarray<size_t> out = {1, 2, 3};
EXPECT_EQ(setdiff1d(ar1, ar2), out);
}
{
xarray<size_t> ar1 = {{5, 6, 7}, {4, 4, 4}, {1, 2, 3}};
xarray<size_t> ar2 = {4, 1};
xarray<size_t> out = {2, 3, 5, 6, 7};
EXPECT_EQ(setdiff1d(ar1, ar2), out);
}
}
template <class T>
bool check_partition(T& arr, std::size_t pos)
{
bool res = true;
for (std::size_t i = 0; i < pos; ++i)
{
res = res && arr(i) <= arr(pos);
}
for (std::size_t i = pos; i < arr.size(); ++i)
{
res = res && arr(i) >= arr(pos);
}
return res;
}
TEST(xsort, partition)
{
SUBCASE("simple")
{
xt::xarray<int> a = {3, 4, 2, 1};
auto part = xt::partition(a, 2);
EXPECT_TRUE(check_partition(part, 2));
}
SUBCASE("complex")
{
xt::xarray<double> a = {927., 932., 935., 943., 944., 944., 945., 948., 952.,
962., 968., 968., 969., 969., 974., 981., 993., 994.,
994., 1003., 1007., 1008., 1008., 1012., 1013., 1014., 1014.,
1017., 1019., 1020., 1023., 1026., 1026., 1028., 1030., 1032.,
1039., 1047., 1071., 1080., 1085., 1088., 1111., 1112., 1117.,
1119., 1128., 1130., 1209., 1309., 1426.};
xt::xtensor_fixed<std::size_t, xt::xshape<4>> kth = {17, 32, 18, 33};
SUBCASE("1D")
{
auto part = xt::partition(a, kth);
for (std::size_t k : kth)
{
CAPTURE(k);
EXPECT_TRUE(check_partition(part, k));
}
}
SUBCASE("2D")
{
a.reshape({1, a.size()});
auto part = xt::partition(a, kth, 1);
for (std::size_t k : kth)
{
CAPTURE(k);
EXPECT_TRUE(check_partition(part, k));
}
}
}
SUBCASE("exception")
{
#ifndef XTENSOR_DISABLE_EXCEPTIONS
xt::xarray<double> a = xt::eval(xt::arange(0, 16));
a.reshape({4, 4});
auto view = xt::transpose(a, {1, 0});
EXPECT_NO_THROW(xt::partition(view, 1, 0));
#endif
}
}
template <class T, class U>
bool check_argpartition(T& arr, U& idxs, std::size_t pos)
{
bool res = true;
for (std::size_t i = 0; i < pos; ++i)
{
res = res && arr(idxs[i]) <= arr(idxs[pos]);
}
for (std::size_t i = pos; i < arr.size(); ++i)
{
res = res && arr(idxs[i]) >= arr(idxs[pos]);
}
return res;
}
TEST(xsort, argpartition)
{
SUBCASE("simple")
{
xt::xarray<int> a = {3, 4, 2, 1};
auto r1 = xt::argpartition(a, 2);
EXPECT_TRUE(check_argpartition(a, r1, 2));
SUBCASE("adapt")
{
std::size_t s = a.size();
int* arr = a.data();
dynamic_shape<std::size_t> sh = {s};
auto b = xt::adapt(arr, s, xt::no_ownership(), sh);
auto r2 = xt::argpartition(b, 2);
EXPECT_TRUE(check_argpartition(b, r2, 2));
}
}
SUBCASE("complex")
{
const xt::xarray<double> data = {1014., 1017., 1019., 1020., 1023., 1026., 1026., 1028., 1030.,
1032., 1039., 1047., 1071., 927., 932., 935., 943., 944.,
944., 945., 948., 952., 962., 968., 968., 969., 969.,
974., 981., 993., 994., 994., 1003., 1007., 1008., 1008.,
1012., 1013., 1014., 1080., 1085., 1088., 1111., 1112., 1117.,
1119., 1128., 1130., 1209., 1309., 1426.};
const xt::xtensor_fixed<std::size_t, xt::xshape<4>> kth = {17, 32, 18, 33};
SUBCASE("1D")
{
const auto& a = data;
const auto argpart = xt::argpartition(a, kth);
for (std::size_t k : kth)
{
CAPTURE(k);
EXPECT_TRUE(check_argpartition(a, argpart, k));
}
}
SUBCASE("2D")
{
auto a = data;
a.reshape({1, a.size()});
const auto argpart = xt::argpartition(a, kth, 1);
for (std::size_t k : kth)
{
CAPTURE(k);
EXPECT_TRUE(check_argpartition(a, argpart, k));
}
}
}
}
TEST(xsort, quantile)
{
const xt::xtensor_fixed<double, xt::xshape<4, 2, 2>> data = {
{{3., 4.}, {2., 1.}},
{{-1., 1.}, {3., 2.}},
{{-9., -0.}, {-9., -3.}},
{{12., 12.}, {12., 12.}},
};
{
auto q = xt::quantile(data, {.3, .0, 1.});
const xt::xtensor_fixed<double, xt::xshape<3>> expected = {0.5, -9., 12.};
EXPECT_TRUE(xt::equal(q, expected)(0));
}
const xt::xtensor_fixed<double, xt::xshape<3, 4, 2>> expected1 = {
{{2.3, 1.9}, {0.2, 1.3}, {-9., -2.1}, {12., 12.}},
{{2., 1.}, {-1., 1.}, {-9., -3.}, {12., 12.}},
{{3., 4.}, {3., 2.}, {-9., 0.}, {12., 12.}},
};
{
auto q1 = xt::quantile(data, {.3, .0, 1.}, 1);
EXPECT_TRUE(xt::equal(q1, expected1)(0));
}
{
auto q1 = xt::quantile(xt::xtensor<float, 3>(data), {.3, .0, 1.}, 1);
EXPECT_TRUE(xt::equal(q1, expected1)(0));
}
{
auto q1 = xt::quantile(xt::xarray<float>(data), {.3, .0, 1.}, 1);
EXPECT_TRUE(xt::equal(q1, expected1)(0));
}
}
TEST(xsort, median)
{
xt::xtensor<float, 2> a = {{3, 4, 2, 1}, {1, 1, 3, 2}, {9, 9, 9, 9}, {12, 12, 12, 12}, {5, 5, 5, 5}};
auto mall = median(a);
auto ma0 = median(a, 0);
auto ma1 = median(a, 1);
EXPECT_EQ(mall, 5.f);
xt::xtensor<float, 1> ma0_exp = {5, 5, 5, 5};
xt::xtensor<float, 1> ma1_exp = {2.5, 1.5, 9., 12., 5.};
EXPECT_EQ(ma0, ma0_exp);
EXPECT_EQ(ma1, ma1_exp);
}
}
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