xtensor-python/test/test_pytensor.cpp at master · HunterBelanger/xtensor-python · GitHub

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/***************************************************************************

* Copyright (c) Wolf Vollprecht, Johan Mabille and Sylvain Corlay *

* 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 "gtest/gtest.h"

#include "xtensor-python/pytensor.hpp"

#include "xtensor/containers/xtensor.hpp"

#include "xtensor/views/xview.hpp"

#include "test_common.hpp"

namespace xt

{

using container_type = std::array<npy_intp, 3>;

TEST(pytensor, initializer_constructor)

{

pytensor<int, 3> t

{{{ 0, 1, 2},

{ 3, 4, 5},

{ 6, 7, 8}},

{{ 9, 10, 11},

{12, 13, 14},

{15, 16, 17}}};

EXPECT_EQ(t.dimension(), 3);

EXPECT_EQ(t(0, 0, 1), 1);

EXPECT_EQ(t.shape()[0], 2);

}

TEST(pytensor, shaped_constructor)

{

SCOPED_TRACE("row_major constructor");

row_major_result<container_type> rm;

pytensor<int, 3> ra(rm.m_shape);

compare_shape(ra, rm);

EXPECT_EQ(layout_type::row_major, ra.layout());

}

{

SCOPED_TRACE("column_major constructor");

column_major_result<container_type> cm;

pytensor<int, 3> ca(cm.m_shape, layout_type::column_major);

compare_shape(ca, cm);

EXPECT_EQ(layout_type::column_major, ca.layout());

}

TEST(pytensor, from_shape)

{

auto arr = pytensor<double, 3>::from_shape({5, 2, 6});

auto exp_shape = std::vector<std::size_t>{5, 2, 6};

EXPECT_TRUE(std::equal(arr.shape().begin(), arr.shape().end(), exp_shape.begin()));

EXPECT_EQ(arr.shape().size(), 3);

EXPECT_EQ(arr.size(), 5 * 2 * 6);

using pyt3 = pytensor<double, 3>;

std::vector<std::size_t> shp = std::vector<std::size_t>{5, 2};

EXPECT_THROW(pyt3::from_shape(shp), std::runtime_error);

}

TEST(pytensor, scalar_from_shape)

{

std::array<size_t, 0> shape;

auto a = pytensor<double, 0>::from_shape(shape);

pytensor<double, 0> b(1.2);

EXPECT_TRUE(a.size() == b.size());

EXPECT_TRUE(xt::has_shape(a, b.shape()));

}

TEST(pytensor, strided_constructor)

{

central_major_result<container_type> cmr;

pytensor<int, 3> cma(cmr.m_shape, cmr.m_strides);

compare_shape(cma, cmr);

}

TEST(pytensor, valued_constructor)

{

SCOPED_TRACE("row_major valued constructor");

row_major_result<container_type> rm;

int value = 2;

pytensor<int, 3> ra(rm.m_shape, value);

compare_shape(ra, rm);

std::vector<int> vec(ra.size(), value);

EXPECT_TRUE(std::equal(vec.cbegin(), vec.cend(), ra.storage().cbegin()));

}

{

SCOPED_TRACE("column_major valued constructor");

column_major_result<container_type> cm;

int value = 2;

pytensor<int, 3> ca(cm.m_shape, value, layout_type::column_major);

compare_shape(ca, cm);

std::vector<int> vec(ca.size(), value);

EXPECT_TRUE(std::equal(vec.cbegin(), vec.cend(), ca.storage().cbegin()));

}

TEST(pytensor, strided_valued_constructor)

{

central_major_result<container_type> cmr;

int value = 2;

pytensor<int, 3> cma(cmr.m_shape, cmr.m_strides, value);

compare_shape(cma, cmr);

std::vector<int> vec(cma.size(), value);

EXPECT_TRUE(std::equal(vec.cbegin(), vec.cend(), cma.storage().cbegin()));

}

TEST(pytensor, copy_semantic)

{

central_major_result<container_type> res;

int value = 2;

pytensor<int, 3> a(res.m_shape, res.m_strides, value);

{

SCOPED_TRACE("copy constructor");

pytensor<int, 3> b(a);

compare_shape(a, b);

EXPECT_EQ(a.storage(), b.storage());

a.data()[0] += 1;

EXPECT_NE(a.storage()[0], b.storage()[0]);

}

{

SCOPED_TRACE("assignment operator");

row_major_result<container_type> r;

pytensor<int, 3> c(r.m_shape, 0);

EXPECT_NE(a.data(), c.data());

c = a;

compare_shape(a, c);

EXPECT_EQ(a.storage(), c.storage());

a.data()[0] += 1;

EXPECT_NE(a.storage()[0], c.storage()[0]);

}

TEST(pytensor, move_semantic)

{

central_major_result<container_type> res;

int value = 2;

pytensor<int, 3> a(res.m_shape, res.m_strides, value);

{

SCOPED_TRACE("move constructor");

pytensor<int, 3> tmp(a);

pytensor<int, 3> b(std::move(tmp));

compare_shape(a, b);

EXPECT_EQ(a.storage(), b.storage());

}

{

SCOPED_TRACE("move assignment");

row_major_result<container_type> r;

pytensor<int, 3> c(r.m_shape, 0);

EXPECT_NE(a.storage(), c.storage());

pytensor<int, 3> tmp(a);

c = std::move(tmp);

compare_shape(a, c);

EXPECT_EQ(a.storage(), c.storage());

}

TEST(pytensor, extended_constructor)

{

xt::xtensor<int, 2> a1 = { {1, 2}, {3, 4} };

xt::xtensor<int, 2> a2 = { {1, 2}, {3, 4} };

pytensor<int, 2> c = a1 + a2;

EXPECT_EQ(c(0, 0), a1(0, 0) + a2(0, 0));

EXPECT_EQ(c(0, 1), a1(0, 1) + a2(0, 1));

EXPECT_EQ(c(1, 0), a1(1, 0) + a2(1, 0));

EXPECT_EQ(c(1, 1), a1(1, 1) + a2(1, 1));

}

TEST(pytensor, resize)

{

pytensor<int, 3> a;

test_resize<pytensor<int, 3>, container_type>(a);

pytensor<int, 3> b = { { { 1, 2 },{ 3, 4 } } };

a.resize(b.shape());

EXPECT_EQ(a.shape(), b.shape());

}

TEST(pytensor, transpose)

{

pytensor<int, 3> a;

test_transpose<pytensor<int, 3>, container_type>(a);

}

TEST(pytensor, access)

{

pytensor<int, 3> a;

test_access<pytensor<int, 3>, container_type>(a);

}

TEST(pytensor, indexed_access)

{

pytensor<int, 3> a;

test_indexed_access<pytensor<int, 3>, container_type>(a);

}

TEST(pytensor, broadcast_shape)

{

pytensor<int, 4> a;

test_broadcast(a);

}

TEST(pytensor, iterator)

{

pytensor<int, 3> a;

pytensor<int, 3> b;

test_iterator<pytensor<int, 3>, pytensor<int, 3>, container_type>(a, b);

pytensor<int, 3, layout_type::row_major> c;

bool truthy = std::is_same<decltype(c.begin()), int*>::value;

EXPECT_TRUE(truthy);

}

TEST(pytensor, zerod)

{

pytensor<int, 3> a;

EXPECT_EQ(0, a());

}

TEST(pytensor, reshape)

{

pytensor<int, 2> a = {{1,2,3}, {4,5,6}};

auto ptr = a.data();

a.reshape(a.shape()); // compilation check

a.reshape({1, 6});

EXPECT_EQ(ptr, a.data());

EXPECT_THROW(a.reshape(std::vector<std::size_t>{6}), std::runtime_error);

// note this throws because std array has only 1 element initialized

// and the second element is `0`.

EXPECT_THROW(a.reshape({6, 5}), std::runtime_error);

}

TEST(pytensor, view)

{

xt::pytensor<int, 1> arr = xt::zeros<int>({ 10 });

auto v = xt::view(arr, xt::all());

EXPECT_EQ(v(0), 0.);

}

TEST(pytensor, unary)

{

pytensor<int, 1> a = { 1, 2, 3 };

pytensor<int, 1> res = -a;

pytensor<int, 1> ref = { -1, -2, -3 };

EXPECT_EQ(ref(0), res(0));

EXPECT_EQ(ref(1), res(1));

}

TEST(pytensor, inplace_pybind11_overload)

{

// pybind11 overrrides a number of operators in pybind11::object.

// This is testing that the right overload is picked up.

pytensor<double, 1> a = { 1.0, 2.0, 3.0 };

a /= 2;

pytensor<double, 1> ref = { 0.5, 1.0, 1.5 };

EXPECT_EQ(ref(0), a(0));

EXPECT_EQ(ref(1), a(1));

}

xtensor-python/test/test_pytensor.cpp at master · HunterBelanger/xtensor-python · GitHub

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