[xtensor] 01/04: New upstream version 0.10.9
Ghislain Vaillant
ghisvail-guest at moszumanska.debian.org
Tue Aug 1 11:13:08 UTC 2017
This is an automated email from the git hooks/post-receive script.
ghisvail-guest pushed a commit to branch master
in repository xtensor.
commit dd84ae417fb3ecc89ed4fa063d9cca4666baa640
Author: Ghislain Antony Vaillant <ghisvail at gmail.com>
Date: Tue Aug 1 12:02:59 2017 +0100
New upstream version 0.10.9
---
.travis.yml | 9 +
CMakeLists.txt | 4 +
README.md | 2 +-
benchmark/CMakeLists.txt | 1 +
benchmark/benchmark_assign.hpp | 125 ++
benchmark/benchmark_container.hpp | 8 +-
benchmark/benchmark_math.hpp | 517 +++---
benchmark/main.cpp | 20 +-
docs/source/compilers.rst | 2 +-
include/xtensor/xassign.hpp | 37 +-
include/xtensor/xbroadcast.hpp | 5 +-
include/xtensor/xbuffer_adaptor.hpp | 3 +-
include/xtensor/xbuilder.hpp | 2 +-
include/xtensor/xcontainer.hpp | 35 +-
include/xtensor/xexception.hpp | 12 +-
include/xtensor/xfunction.hpp | 20 +-
include/xtensor/xfunctorview.hpp | 4 +-
include/xtensor/xgenerator.hpp | 4 +-
include/xtensor/xindexview.hpp | 2 +-
include/xtensor/xinfo.hpp | 4 +-
include/xtensor/xreducer.hpp | 2 +-
include/xtensor/xscalar.hpp | 15 +
include/xtensor/xslice.hpp | 4 +-
include/xtensor/xstorage.hpp | 11 +-
include/xtensor/xstridedview.hpp | 24 +-
include/xtensor/xstrides.hpp | 51 +-
include/xtensor/xtensor_config.hpp | 2 +-
include/xtensor/xutils.hpp | 90 +-
include/xtensor/xview.hpp | 2 +
include/xtensor/xview_utils.hpp | 4 +-
notebooks/images/binder-logo.png | Bin 5034 -> 4850 bytes
notebooks/images/binder-logo.svg | 3355 +----------------------------------
notebooks/images/cling-logo.png | Bin 2444 -> 3475 bytes
notebooks/images/cling-logo.svg | 101 +-
notebooks/xtensor.ipynb | 383 +---
test/test_common.hpp | 84 +-
test/test_xarray.cpp | 5 +
test/test_xbuilder.cpp | 11 +-
test/test_xdynamicview.cpp | 14 +-
test/test_xtensor.cpp | 6 +
test/test_xview.cpp | 23 +-
41 files changed, 968 insertions(+), 4035 deletions(-)
diff --git a/.travis.yml b/.travis.yml
index 92b6471..0601fb9 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -60,6 +60,15 @@ matrix:
packages:
- clang-3.8
env: COMPILER=clang CLANG=3.8
+ - os: linux
+ addons:
+ apt:
+ sources:
+ - ubuntu-toolchain-r-test
+ - llvm-toolchain-precise-3.9
+ packages:
+ - clang-3.9
+ env: COMPILER=clang CLANG=3.9
- os: osx
osx_image: xcode8
compiler: clang
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 6ccbc3b..4528ffb 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -77,6 +77,7 @@ set(XTENSOR_HEADERS
OPTION(XTENSOR_ENABLE_ASSERT "xtensor bound check" OFF)
OPTION(BUILD_TESTS "xtensor test suite" OFF)
+OPTION(BUILD_BENCHMARK "xtensor benchmark" OFF)
OPTION(DOWNLOAD_GTEST "build gtest from downloaded sources" OFF)
OPTION(DEFAULT_COLUMN_MAJOR "set default layout to column major" OFF)
@@ -94,6 +95,9 @@ endif()
if(BUILD_TESTS)
add_subdirectory(test)
+endif()
+
+if(BUILD_BENCHMARK)
add_subdirectory(benchmark)
endif()
diff --git a/README.md b/README.md
index 577ef3c..e54e3bc 100644
--- a/README.md
+++ b/README.md
@@ -20,7 +20,7 @@ Multi-dimensional arrays with broadcasting and lazy computing.
Containers of `xtensor` are inspired by [NumPy](http://www.numpy.org), the Python array programming library. **Adaptors** for existing data structures to be plugged into our expression system can easily be written.
-In fact, `xtensor` can be used to **process `numpy` data structures inplace** using Python's [buffer protocol](https://docs.python.org/3/c-api/buffer.html). Similarly, we can operate on Julia arrays. For more details on the numpy bindings and Julia, check out the [xtensor-python](https://github.com/QuantStack/xtensor-python) and [xtensor-julia](https://github.com/QuantStacl/Xtensor.jl) projects respectively.
+In fact, `xtensor` can be used to **process `numpy` data structures inplace** using Python's [buffer protocol](https://docs.python.org/3/c-api/buffer.html). Similarly, we can operate on Julia and R arrays. For more details on the numpy, Julia and R bindings, check out the [xtensor-python](https://github.com/QuantStack/xtensor-python), [xtensor-julia](https://github.com/QuantStack/Xtensor.jl) and [xtensor-r](https://github.com/QuantStack/xtensor-r) projects respectively.
`xtensor` requires a modern C++ compiler supporting C++14. The following C++ compilers are supported:
diff --git a/benchmark/CMakeLists.txt b/benchmark/CMakeLists.txt
index b1e81d9..aa81b08 100644
--- a/benchmark/CMakeLists.txt
+++ b/benchmark/CMakeLists.txt
@@ -68,6 +68,7 @@ endif()
include_directories(${XTENSOR_INCLUDE_DIR})
set(XTENSOR_BENCHMARK
+ benchmark_assign.hpp
benchmark_container.hpp
benchmark_math.hpp
benchmark_views.hpp
diff --git a/benchmark/benchmark_assign.hpp b/benchmark/benchmark_assign.hpp
new file mode 100644
index 0000000..362baf8
--- /dev/null
+++ b/benchmark/benchmark_assign.hpp
@@ -0,0 +1,125 @@
+/***************************************************************************
+* Copyright (c) 2016, Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
+* *
+* Distributed under the terms of the BSD 3-Clause License. *
+* *
+* The full license is in the file LICENSE, distributed with this software. *
+****************************************************************************/
+
+#ifndef BENCHMARK_ASSIGN_HPP
+#define BENCHMARK_ASSIGN_HPP
+
+#include <chrono>
+#include <cstddef>
+#include "xtensor/xnoalias.hpp"
+#include "xtensor/xtensor.hpp"
+
+namespace xt
+{
+ namespace assign
+ {
+ using duration_type = std::chrono::duration<double, std::milli>;
+
+ /****************************
+ * Benchmark initialization *
+ ****************************/
+
+ template <class V>
+ inline void init_benchmark_data(V& lhs, V& rhs, std::size_t size0, std::size_t size1)
+ {
+ using T = typename V::value_type;
+ for (std::size_t i = 0; i < size0; ++i)
+ {
+ for (std::size_t j = 0; j < size1; ++j)
+ {
+ lhs(i, j) = T(0.5) * T(j) / T(j + 1) + std::sqrt(T(i)) * T(9.) / T(size1);
+ rhs(i, j) = T(10.2) / T(i + 2) + T(0.25) * T(j);
+ }
+ }
+ }
+
+ template <class V>
+ inline void init_xtensor_benchmark(V& lhs, V& rhs, V& res,
+ std::size_t size0, size_t size1)
+ {
+ lhs.reshape({ size0, size1 });
+ rhs.reshape({ size0, size1 });
+ res.reshape({ size0, size1 });
+ init_benchmark_data(lhs, rhs, size0, size1);
+ }
+
+ template <class V>
+ inline void init_dl_xtensor_benchmark(V& lhs, V& rhs, V& res,
+ std::size_t size0, size_t size1)
+ {
+ using strides_type = typename V::strides_type;
+ strides_type str = { size1, 1 };
+ lhs.reshape({ size0, size1 }, str);
+ rhs.reshape({ size0, size1 }, str);
+ res.reshape({ size0, size1 }, str);
+ init_benchmark_data(lhs, rhs, size0, size1);
+ }
+
+ template <class E>
+ inline auto benchmark_c_loop(const E& x, const E& y, E& res, std::size_t count)
+ {
+ duration_type t_res = duration_type::max();
+ using size_type = typename E::size_type;
+ for (std::size_t i = 0; i < count; ++i)
+ {
+ auto start = std::chrono::steady_clock::now();
+ size_type csize = x.size();
+ for (size_type i = 0; i < csize; ++i)
+ {
+ res.data()[i] = 3 * x.data()[i] - 2 * y.data()[i];
+ }
+ auto end = std::chrono::steady_clock::now();
+ auto tmp = end - start;
+ t_res = tmp < t_res ? tmp : t_res;
+ }
+ return t_res;
+ }
+
+ template <class E>
+ inline auto benchmark_xtensor(const E& x, const E& y, E& res, std::size_t count)
+ {
+ duration_type t_res = duration_type::max();
+ for (std::size_t i = 0; i < count; ++i)
+ {
+ auto start = std::chrono::steady_clock::now();
+ xt::noalias(res) = 3 * x - 2 * y;
+ auto end = std::chrono::steady_clock::now();
+ auto tmp = end - start;
+ t_res = tmp < t_res ? tmp : t_res;
+ }
+ return t_res;
+ }
+
+ template <class OS>
+ inline void benchmark(OS& out)
+ {
+ std::size_t count = 10;
+ std::size_t size0 = 20, size1 = 500;
+ xtensor<double, 2> lhs_r, rhs_r, res_r;
+ init_xtensor_benchmark(lhs_r, rhs_r, res_r, size0, size1);
+
+ xtensor<double, 2, layout_type::dynamic> lhs_d, rhs_d, res_d;
+ init_dl_xtensor_benchmark(lhs_d, rhs_d, res_d, size0, size1);
+
+ duration_type c_loop_assign = benchmark_c_loop(lhs_d, rhs_d, res_d, count);
+ duration_type iterator_assign = benchmark_xtensor(lhs_d, rhs_d, res_d, count);
+ duration_type index_assign = benchmark_xtensor(lhs_r, rhs_r, res_r, count);
+
+ out << "********************" << std::endl;
+ out << "* ASSIGN BENCHMARK *" << std::endl;
+ out << "********************" << std::endl;
+
+ out << "c loop assign : " << c_loop_assign.count() << "ms" << std::endl;
+ out << "iterator assign: " << iterator_assign.count() << "ms" << std::endl;
+ out << "index assign : " << index_assign.count() << "ms" << std::endl;
+ out << std::endl;
+ }
+ }
+}
+
+#endif
diff --git a/benchmark/benchmark_container.hpp b/benchmark/benchmark_container.hpp
index 4fc4490..d865db3 100644
--- a/benchmark/benchmark_container.hpp
+++ b/benchmark/benchmark_container.hpp
@@ -205,6 +205,7 @@ namespace xt
out << "* XFUNCTION ASSIGN BENCHMARK : " << cname << " *" << std::endl;
out << "*********************************" << std::string(cname.size(), '*') << std::endl << std::endl;
+ out << "benchmark: res = 3 * x - 2 * y * z; - res resized out of the benchmark" << std::endl;
out << "xarray : " << aassign.count() << "ms" << std::endl;
out << "xtensor: " << tassign.count() << "ms" << std::endl;
out << std::endl;
@@ -263,10 +264,11 @@ namespace xt
duration_type tassign = benchmark_assign(tx, ty, tres);
std::string cname = get_container_name(C());
- out << "*********************************" << std::string(cname.size(), '*') << std::endl;
- out << "* SUM FULL ASSIGN BENCHMARK : " << cname << " *" << std::endl;
- out << "*********************************" << std::string(cname.size(), '*') << std::endl << std::endl;
+ out << "***************************************" << std::string(cname.size(), '*') << std::endl;
+ out << "* XFUNCTION FULL ASSIGN BENCHMARK : " << cname << " *" << std::endl;
+ out << "***************************************" << std::string(cname.size(), '*') << std::endl << std::endl;
+ out << "benchmark: res = 3 * x - 2 * y; - res resized inside the benchmark" << std::endl;
out << "xarray : " << aassign.count() << "ms" << std::endl;
out << "xtensor: " << tassign.count() << "ms" << std::endl;
out << std::endl;
diff --git a/benchmark/benchmark_math.hpp b/benchmark/benchmark_math.hpp
index e66dade..5d924d6 100644
--- a/benchmark/benchmark_math.hpp
+++ b/benchmark/benchmark_math.hpp
@@ -19,328 +19,331 @@
namespace xt
{
- using duration_type = std::chrono::duration<double, std::milli>;
+ namespace math
+ {
+ using duration_type = std::chrono::duration<double, std::milli>;
- /****************************
- * Benchmark initialization *
- ****************************/
+ /****************************
+ * Benchmark initialization *
+ ****************************/
- template <class V>
- inline void init_benchmark_data(V& lhs, V& rhs, std::size_t size0, std::size_t size1)
- {
- using T = typename V::value_type;
- for (std::size_t i = 0; i < size0; ++i)
+ template <class V>
+ inline void init_benchmark_data(V& lhs, V& rhs, std::size_t size0, std::size_t size1)
{
- for (std::size_t j = 0; j < size1; ++j)
+ using T = typename V::value_type;
+ for (std::size_t i = 0; i < size0; ++i)
{
- lhs(i, j) = T(0.5) * T(j) / T(j + 1) + std::sqrt(T(i)) * T(9.) / T(size1);
- rhs(i, j) = T(10.2) / T(i + 2) + T(0.25) * T(j);
+ for (std::size_t j = 0; j < size1; ++j)
+ {
+ lhs(i, j) = T(0.5) * T(j) / T(j + 1) + std::sqrt(T(i)) * T(9.) / T(size1);
+ rhs(i, j) = T(10.2) / T(i + 2) + T(0.25) * T(j);
+ }
}
}
- }
- template <class V>
- inline void init_xtensor_benchmark(V& lhs, V& rhs, V& res, std::size_t size0, size_t size1)
- {
- lhs.reshape({ size0, size1 });
- rhs.reshape({ size0, size1 });
- res.reshape({ size0, size1 });
- init_benchmark_data(lhs, rhs, size0, size1);
- }
+ template <class V>
+ inline void init_xtensor_benchmark(V& lhs, V& rhs, V& res, std::size_t size0, size_t size1)
+ {
+ lhs.reshape({ size0, size1 });
+ rhs.reshape({ size0, size1 });
+ res.reshape({ size0, size1 });
+ init_benchmark_data(lhs, rhs, size0, size1);
+ }
- template <class V>
- inline void init_ext_benchmark(V& lhs, V& rhs, V& res, std::size_t size0, size_t size1)
- {
- lhs.resize(size0, size1);
- rhs.resize(size0, size1);
- res.resize(size0, size1);
- init_benchmark_data(lhs, rhs, size0, size1);
- }
+ template <class V>
+ inline void init_ext_benchmark(V& lhs, V& rhs, V& res, std::size_t size0, size_t size1)
+ {
+ lhs.resize(size0, size1);
+ rhs.resize(size0, size1);
+ res.resize(size0, size1);
+ init_benchmark_data(lhs, rhs, size0, size1);
+ }
- /***********************
- * Benchmark functions *
- ***********************/
+ /***********************
+ * Benchmark functions *
+ ***********************/
- template <class F, class V>
- inline duration_type benchmark_xtensor_ref(F f, const V& lhs, V& res, std::size_t number)
- {
- size_t size = lhs.shape()[0] * lhs.shape()[1];
- duration_type t_res = duration_type::max();
- for (std::size_t count = 0; count < number; ++count)
+ template <class F, class V>
+ inline duration_type benchmark_xtensor_ref(F f, const V& lhs, V& res, std::size_t number)
{
- auto start = std::chrono::steady_clock::now();
- for (std::size_t i = 0; i < size; ++i)
+ size_t size = lhs.shape()[0] * lhs.shape()[1];
+ duration_type t_res = duration_type::max();
+ for (std::size_t count = 0; count < number; ++count)
{
- res.data()[i] = f(lhs.data()[i]);
+ auto start = std::chrono::steady_clock::now();
+ for (std::size_t i = 0; i < size; ++i)
+ {
+ res.data()[i] = f(lhs.data()[i]);
+ }
+ auto end = std::chrono::steady_clock::now();
+ auto tmp = end - start;
+ t_res = tmp < t_res ? tmp : t_res;
}
- auto end = std::chrono::steady_clock::now();
- auto tmp = end - start;
- t_res = tmp < t_res ? tmp : t_res;
+ return t_res;
}
- return t_res;
- }
- template <class F, class V>
- inline duration_type benchmark_xtensor_ref(F f, const V& lhs, const V& rhs, V& res, std::size_t number)
- {
- size_t size = lhs.shape()[0] * lhs.shape()[1];
- duration_type t_res = duration_type::max();
- for (std::size_t count = 0; count < number; ++count)
+ template <class F, class V>
+ inline duration_type benchmark_xtensor_ref(F f, const V& lhs, const V& rhs, V& res, std::size_t number)
{
- auto start = std::chrono::steady_clock::now();
- for (std::size_t i = 0; i < size; ++i)
+ size_t size = lhs.shape()[0] * lhs.shape()[1];
+ duration_type t_res = duration_type::max();
+ for (std::size_t count = 0; count < number; ++count)
{
- res.data()[i] = f(lhs.data()[i], rhs.data()[i]);
+ auto start = std::chrono::steady_clock::now();
+ for (std::size_t i = 0; i < size; ++i)
+ {
+ res.data()[i] = f(lhs.data()[i], rhs.data()[i]);
+ }
+ auto end = std::chrono::steady_clock::now();
+ auto tmp = end - start;
+ t_res = tmp < t_res ? tmp : t_res;
}
- auto end = std::chrono::steady_clock::now();
- auto tmp = end - start;
- t_res = tmp < t_res ? tmp : t_res;
+ return t_res;
}
- return t_res;
- }
- template <class F, class V>
- inline duration_type benchmark_xtensor(F f, const V& lhs, V& res, std::size_t number)
- {
- size_t s0 = lhs.shape()[0];
- size_t s1 = lhs.shape()[1];
- duration_type t_res = duration_type::max();
- for (std::size_t count = 0; count < number; ++count)
+ template <class F, class V>
+ inline duration_type benchmark_xtensor(F f, const V& lhs, V& res, std::size_t number)
{
- auto start = std::chrono::steady_clock::now();
- xt::noalias(res) = f(lhs);
- auto end = std::chrono::steady_clock::now();
- auto tmp = end - start;
- t_res = tmp < t_res ? tmp : t_res;
+ size_t s0 = lhs.shape()[0];
+ size_t s1 = lhs.shape()[1];
+ duration_type t_res = duration_type::max();
+ for (std::size_t count = 0; count < number; ++count)
+ {
+ auto start = std::chrono::steady_clock::now();
+ xt::noalias(res) = f(lhs);
+ auto end = std::chrono::steady_clock::now();
+ auto tmp = end - start;
+ t_res = tmp < t_res ? tmp : t_res;
+ }
+ return t_res;
}
- return t_res;
- }
- template <class F, class V>
- inline duration_type benchmark_xtensor(F f, const V& lhs, const V& rhs, V& res, std::size_t number)
- {
- size_t s0 = lhs.shape()[0];
- size_t s1 = lhs.shape()[1];
- duration_type t_res = duration_type::max();
- for (std::size_t count = 0; count < number; ++count)
+ template <class F, class V>
+ inline duration_type benchmark_xtensor(F f, const V& lhs, const V& rhs, V& res, std::size_t number)
{
- auto start = std::chrono::steady_clock::now();
- xt::noalias(res) = f(lhs, rhs);
- auto end = std::chrono::steady_clock::now();
- auto tmp = end - start;
- t_res = tmp < t_res ? tmp : t_res;
+ size_t s0 = lhs.shape()[0];
+ size_t s1 = lhs.shape()[1];
+ duration_type t_res = duration_type::max();
+ for (std::size_t count = 0; count < number; ++count)
+ {
+ auto start = std::chrono::steady_clock::now();
+ xt::noalias(res) = f(lhs, rhs);
+ auto end = std::chrono::steady_clock::now();
+ auto tmp = end - start;
+ t_res = tmp < t_res ? tmp : t_res;
+ }
+ return t_res;
}
- return t_res;
- }
- /*********************
- * Benchmark runners *
- *********************/
+ /*********************
+ * Benchmark runners *
+ *********************/
- template <class F, class OS>
- void run_benchmark_1op(F f, OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
- {
- xtensor<double, 2> lhs, rhs, res;
- init_xtensor_benchmark(lhs, rhs, res, size0, size1);
+ template <class F, class OS>
+ void run_benchmark_1op(F f, OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
+ {
+ xtensor<double, 2> lhs, rhs, res;
+ init_xtensor_benchmark(lhs, rhs, res, size0, size1);
- duration_type ref_time = benchmark_xtensor_ref(f, lhs, res, iter);
- duration_type xt_time = benchmark_xtensor(f, lhs, res, iter);
+ duration_type ref_time = benchmark_xtensor_ref(f, lhs, res, iter);
+ duration_type xt_time = benchmark_xtensor(f, lhs, res, iter);
- out << "=====================" << std::endl;
- out << F::name() << std::endl;
- out << "reference: " << ref_time.count() << "ms" << std::endl;
- out << "xtensor : " << xt_time.count() << "ms" << std::endl;
- out << "=====================" << std::endl;
- }
+ out << "=====================" << std::endl;
+ out << F::name() << std::endl;
+ out << "reference: " << ref_time.count() << "ms" << std::endl;
+ out << "xtensor : " << xt_time.count() << "ms" << std::endl;
+ out << "=====================" << std::endl;
+ }
- template <class F, class OS>
- void run_benchmark_2op(F f, OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
- {
- xtensor<double, 2> lhs, rhs, res;
- init_xtensor_benchmark(lhs, rhs, res, size0, size1);
+ template <class F, class OS>
+ void run_benchmark_2op(F f, OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
+ {
+ xtensor<double, 2> lhs, rhs, res;
+ init_xtensor_benchmark(lhs, rhs, res, size0, size1);
- duration_type ref_time = benchmark_xtensor_ref(f, lhs, rhs, res, iter);
- duration_type xt_time = benchmark_xtensor(f, lhs, rhs, res, iter);
+ duration_type ref_time = benchmark_xtensor_ref(f, lhs, rhs, res, iter);
+ duration_type xt_time = benchmark_xtensor(f, lhs, rhs, res, iter);
- out << "=====================" << std::endl;
- out << F::name() << std::endl;
- out << "reference: " << ref_time.count() << "ms" << std::endl;
- out << "xtensor : " << xt_time.count() << "ms" << std::endl;
- out << "=====================" << std::endl;
- }
+ out << "=====================" << std::endl;
+ out << F::name() << std::endl;
+ out << "reference: " << ref_time.count() << "ms" << std::endl;
+ out << "xtensor : " << xt_time.count() << "ms" << std::endl;
+ out << "=====================" << std::endl;
+ }
- /**********************
- * Benchmark functors *
- **********************/
+ /**********************
+ * Benchmark functors *
+ **********************/
#define DEFINE_OP_FUNCTOR_2OP(OP, NAME)\
struct NAME##_fn {\
template <class T>\
- inline T operator()(const T& lhs, const T& rhs) const { return lhs OP rhs; }\
+ inline auto operator()(const T& lhs, const T& rhs) const { return lhs OP rhs; }\
inline static std::string name() { return #NAME; }\
}
#define DEFINE_FUNCTOR_1OP(FN)\
struct FN##_fn {\
template <class T>\
- inline T operator()(const T& x) const { using std::FN; using xt::FN; return FN(x); }\
+ inline auto operator()(const T& x) const { using std::FN; using xt::FN; return FN(x); }\
inline static std::string name() { return #FN; }\
}
#define DEFINE_FUNCTOR_2OP(FN)\
struct FN##_fn{\
template <class T>\
- inline T operator()(const T&lhs, const T& rhs) const { using std::FN; using xt::FN; return FN(lhs, rhs); }\
+ inline auto operator()(const T&lhs, const T& rhs) const { using std::FN; using xt::FN; return FN(lhs, rhs); }\
inline static std::string name() { return #FN; }\
}
- DEFINE_OP_FUNCTOR_2OP(+, add);
- DEFINE_OP_FUNCTOR_2OP(-, sub);
- DEFINE_OP_FUNCTOR_2OP(*, mul);
- DEFINE_OP_FUNCTOR_2OP(/ , div);
-
- DEFINE_FUNCTOR_1OP(exp);
- DEFINE_FUNCTOR_1OP(exp2);
- DEFINE_FUNCTOR_1OP(expm1);
- DEFINE_FUNCTOR_1OP(log);
- DEFINE_FUNCTOR_1OP(log10);
- DEFINE_FUNCTOR_1OP(log2);
- DEFINE_FUNCTOR_1OP(log1p);
-
- DEFINE_FUNCTOR_1OP(sin);
- DEFINE_FUNCTOR_1OP(cos);
- DEFINE_FUNCTOR_1OP(tan);
- DEFINE_FUNCTOR_1OP(asin);
- DEFINE_FUNCTOR_1OP(acos);
- DEFINE_FUNCTOR_1OP(atan);
-
- DEFINE_FUNCTOR_1OP(sinh);
- DEFINE_FUNCTOR_1OP(cosh);
- DEFINE_FUNCTOR_1OP(tanh);
- DEFINE_FUNCTOR_1OP(asinh);
- DEFINE_FUNCTOR_1OP(acosh);
- DEFINE_FUNCTOR_1OP(atanh);
-
- DEFINE_FUNCTOR_2OP(pow);
- DEFINE_FUNCTOR_1OP(sqrt);
- DEFINE_FUNCTOR_1OP(cbrt);
- DEFINE_FUNCTOR_2OP(hypot);
-
- DEFINE_FUNCTOR_1OP(ceil);
- DEFINE_FUNCTOR_1OP(floor);
- DEFINE_FUNCTOR_1OP(trunc);
- DEFINE_FUNCTOR_1OP(round);
- DEFINE_FUNCTOR_1OP(nearbyint);
- DEFINE_FUNCTOR_1OP(rint);
-
- /********************
- * benchmark groups *
- ********************/
-
- template <class OS>
- void benchmark_arithmetic(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
- {
- run_benchmark_2op(add_fn(), out, size0, size1, iter);
- run_benchmark_2op(sub_fn(), out, size0, size1, iter);
- run_benchmark_2op(mul_fn(), out, size0, size1, iter);
- run_benchmark_2op(div_fn(), out, size0, size1, iter);
- }
-
- template <class OS>
- void benchmark_exp_log(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
- {
- run_benchmark_1op(exp_fn(), out, size0, size1, iter);
- run_benchmark_1op(exp2_fn(), out, size0, size1, iter);
- run_benchmark_1op(expm1_fn(), out, size0, size1, iter);
- run_benchmark_1op(log_fn(), out, size0, size1, iter);
- run_benchmark_1op(log2_fn(), out, size0, size1, iter);
- run_benchmark_1op(log10_fn(), out, size0, size1, iter);
- run_benchmark_1op(log1p_fn(), out, size0, size1, iter);
- }
-
- template <class OS>
- void benchmark_trigo(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
- {
- run_benchmark_1op(sin_fn(), out, size0, size1, iter);
- run_benchmark_1op(cos_fn(), out, size0, size1, iter);
- run_benchmark_1op(tan_fn(), out, size0, size1, iter);
- run_benchmark_1op(asin_fn(), out, size0, size1, iter);
- run_benchmark_1op(acos_fn(), out, size0, size1, iter);
- run_benchmark_1op(atan_fn(), out, size0, size1, iter);
- }
-
- template <class OS>
- void benchmark_hyperbolic(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
- {
- run_benchmark_1op(sinh_fn(), out, size0, size1, iter);
- run_benchmark_1op(cosh_fn(), out, size0, size1, iter);
- run_benchmark_1op(tanh_fn(), out, size0, size1, iter);
- run_benchmark_1op(asinh_fn(), out, size0, size1, iter);
- run_benchmark_1op(acosh_fn(), out, size0, size1, iter);
- run_benchmark_1op(atanh_fn(), out, size0, size1, iter);
- }
+ DEFINE_OP_FUNCTOR_2OP(+, add);
+ DEFINE_OP_FUNCTOR_2OP(-, sub);
+ DEFINE_OP_FUNCTOR_2OP(*, mul);
+ DEFINE_OP_FUNCTOR_2OP(/ , div);
+
+ DEFINE_FUNCTOR_1OP(exp);
+ DEFINE_FUNCTOR_1OP(exp2);
+ DEFINE_FUNCTOR_1OP(expm1);
+ DEFINE_FUNCTOR_1OP(log);
+ DEFINE_FUNCTOR_1OP(log10);
+ DEFINE_FUNCTOR_1OP(log2);
+ DEFINE_FUNCTOR_1OP(log1p);
+
+ DEFINE_FUNCTOR_1OP(sin);
+ DEFINE_FUNCTOR_1OP(cos);
+ DEFINE_FUNCTOR_1OP(tan);
+ DEFINE_FUNCTOR_1OP(asin);
+ DEFINE_FUNCTOR_1OP(acos);
+ DEFINE_FUNCTOR_1OP(atan);
+
+ DEFINE_FUNCTOR_1OP(sinh);
+ DEFINE_FUNCTOR_1OP(cosh);
+ DEFINE_FUNCTOR_1OP(tanh);
+ DEFINE_FUNCTOR_1OP(asinh);
+ DEFINE_FUNCTOR_1OP(acosh);
+ DEFINE_FUNCTOR_1OP(atanh);
+
+ DEFINE_FUNCTOR_2OP(pow);
+ DEFINE_FUNCTOR_1OP(sqrt);
+ DEFINE_FUNCTOR_1OP(cbrt);
+ DEFINE_FUNCTOR_2OP(hypot);
+
+ DEFINE_FUNCTOR_1OP(ceil);
+ DEFINE_FUNCTOR_1OP(floor);
+ DEFINE_FUNCTOR_1OP(trunc);
+ DEFINE_FUNCTOR_1OP(round);
+ DEFINE_FUNCTOR_1OP(nearbyint);
+ DEFINE_FUNCTOR_1OP(rint);
+
+ /********************
+ * benchmark groups *
+ ********************/
+
+ template <class OS>
+ void benchmark_arithmetic(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
+ {
+ run_benchmark_2op(add_fn(), out, size0, size1, iter);
+ run_benchmark_2op(sub_fn(), out, size0, size1, iter);
+ run_benchmark_2op(mul_fn(), out, size0, size1, iter);
+ run_benchmark_2op(div_fn(), out, size0, size1, iter);
+ }
- template <class OS>
- void benchmark_power(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
- {
- run_benchmark_2op(pow_fn(), out, size0, size1, iter);
- run_benchmark_1op(sqrt_fn(), out, size0, size1, iter);
- run_benchmark_1op(cbrt_fn(), out, size0, size1, iter);
- run_benchmark_2op(hypot_fn(), out, size0, size1, iter);
- }
+ template <class OS>
+ void benchmark_exp_log(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
+ {
+ run_benchmark_1op(exp_fn(), out, size0, size1, iter);
+ run_benchmark_1op(exp2_fn(), out, size0, size1, iter);
+ run_benchmark_1op(expm1_fn(), out, size0, size1, iter);
+ run_benchmark_1op(log_fn(), out, size0, size1, iter);
+ run_benchmark_1op(log2_fn(), out, size0, size1, iter);
+ run_benchmark_1op(log10_fn(), out, size0, size1, iter);
+ run_benchmark_1op(log1p_fn(), out, size0, size1, iter);
+ }
- template <class OS>
- void benchmark_rounding(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
- {
- run_benchmark_1op(ceil_fn(), out, size0, size1, iter);
- run_benchmark_1op(floor_fn(), out, size0, size1, iter);
- run_benchmark_1op(trunc_fn(), out, size0, size1, iter);
- run_benchmark_1op(round_fn(), out, size0, size1, iter);
- run_benchmark_1op(nearbyint_fn(), out, size0, size1, iter);
- run_benchmark_1op(rint_fn(), out, size0, size1, iter);
- }
+ template <class OS>
+ void benchmark_trigo(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
+ {
+ run_benchmark_1op(sin_fn(), out, size0, size1, iter);
+ run_benchmark_1op(cos_fn(), out, size0, size1, iter);
+ run_benchmark_1op(tan_fn(), out, size0, size1, iter);
+ run_benchmark_1op(asin_fn(), out, size0, size1, iter);
+ run_benchmark_1op(acos_fn(), out, size0, size1, iter);
+ run_benchmark_1op(atan_fn(), out, size0, size1, iter);
+ }
- template <class OS>
- using benchmark_function = void(*)(OS&, std::size_t, std::size_t, std::size_t);
+ template <class OS>
+ void benchmark_hyperbolic(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
+ {
+ run_benchmark_1op(sinh_fn(), out, size0, size1, iter);
+ run_benchmark_1op(cosh_fn(), out, size0, size1, iter);
+ run_benchmark_1op(tanh_fn(), out, size0, size1, iter);
+ run_benchmark_1op(asinh_fn(), out, size0, size1, iter);
+ run_benchmark_1op(acosh_fn(), out, size0, size1, iter);
+ run_benchmark_1op(atanh_fn(), out, size0, size1, iter);
+ }
- template <class OS>
- using benchmark_map = std::map < std::string, benchmark_function<OS>>;
+ template <class OS>
+ void benchmark_power(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
+ {
+ run_benchmark_2op(pow_fn(), out, size0, size1, iter);
+ run_benchmark_1op(sqrt_fn(), out, size0, size1, iter);
+ run_benchmark_1op(cbrt_fn(), out, size0, size1, iter);
+ run_benchmark_2op(hypot_fn(), out, size0, size1, iter);
+ }
- template <class OS>
- const benchmark_map<OS>& get_benchmark_map()
- {
- static benchmark_map<OS> bm;
- if (bm.empty())
+ template <class OS>
+ void benchmark_rounding(OS& out, std::size_t size0, std::size_t size1, std::size_t iter)
{
- bm["op"] = &benchmark_arithmetic<OS>;
- bm["exp"] = &benchmark_exp_log<OS>;
- bm["trigo"] = &benchmark_trigo<OS>;
- bm["hyperbolic"] = &benchmark_hyperbolic<OS>;
- bm["power"] = &benchmark_power<OS>;
- bm["rounding"] = &benchmark_rounding<OS>;
+ run_benchmark_1op(ceil_fn(), out, size0, size1, iter);
+ run_benchmark_1op(floor_fn(), out, size0, size1, iter);
+ run_benchmark_1op(trunc_fn(), out, size0, size1, iter);
+ run_benchmark_1op(round_fn(), out, size0, size1, iter);
+ run_benchmark_1op(nearbyint_fn(), out, size0, size1, iter);
+ run_benchmark_1op(rint_fn(), out, size0, size1, iter);
}
- return bm;
- }
- template <class OS>
- void benchmark_math(OS& out, const std::string& meth = "")
- {
- std::size_t size0 = 20;
- std::size_t size1 = 500;
- std::size_t nb_iter = 1000;
+ template <class OS>
+ using benchmark_function = void(*)(OS&, std::size_t, std::size_t, std::size_t);
+
+ template <class OS>
+ using benchmark_map = std::map < std::string, benchmark_function<OS>>;
- const auto& bm = get_benchmark_map<OS>();
- if (meth != "")
+ template <class OS>
+ const benchmark_map<OS>& get_benchmark_map()
{
- auto iter = bm.find(meth);
- if (iter != bm.end())
- (iter->second)(out, size0, size1, nb_iter);
+ static benchmark_map<OS> bm;
+ if (bm.empty())
+ {
+ bm["op"] = &benchmark_arithmetic<OS>;
+ bm["exp"] = &benchmark_exp_log<OS>;
+ bm["trigo"] = &benchmark_trigo<OS>;
+ bm["hyperbolic"] = &benchmark_hyperbolic<OS>;
+ bm["power"] = &benchmark_power<OS>;
+ bm["rounding"] = &benchmark_rounding<OS>;
+ }
+ return bm;
}
- else
+
+ template <class OS>
+ void benchmark_math(OS& out, const std::string& meth = "")
{
- for (auto v : bm)
+ std::size_t size0 = 20;
+ std::size_t size1 = 500;
+ std::size_t nb_iter = 1000;
+
+ const auto& bm = get_benchmark_map<OS>();
+ if (meth != "")
+ {
+ auto iter = bm.find(meth);
+ if (iter != bm.end())
+ (iter->second)(out, size0, size1, nb_iter);
+ }
+ else
{
- (v.second)(out, size0, size1, nb_iter);
+ for (auto v : bm)
+ {
+ (v.second)(out, size0, size1, nb_iter);
+ }
}
}
}
diff --git a/benchmark/main.cpp b/benchmark/main.cpp
index 6a49c2e..9af8be9 100644
--- a/benchmark/main.cpp
+++ b/benchmark/main.cpp
@@ -6,6 +6,7 @@
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
+#include "benchmark_assign.hpp"
#include "benchmark_container.hpp"
#include "benchmark_math.hpp"
#include "benchmark_views.hpp"
@@ -29,6 +30,11 @@ void benchmark_views(OS& out)
xt::stridedview::benchmark(out);
}
+template <class OS>
+void benchmark_assign(OS& out)
+{
+
+}
int main(int argc, char* argv[])
{
std::cout << "Using steady_clock" << std::endl;
@@ -37,13 +43,12 @@ int main(int argc, char* argv[])
std::cout << "steady = " << std::boolalpha << std::chrono::steady_clock::is_steady << std::endl;
std::cout << std::endl;
- benchmark_container(std::cout);
- benchmark_views(std::cout);
if (argc != 1)
{
if (std::string(argv[1]) == "--help" || std::string(argv[1]) == "-h")
{
std::cout << "Avalaible options:" << std::endl;
+ std::cout << "assign : run benchmark on tensor assign" << std::endl;
std::cout << "container : run benchmark on container basic operations" << std::endl;
std::cout << "view : run benchmark on view basic operations" << std::endl;
std::cout << "op : run benchmark on arithmetic operations" << std::endl;
@@ -58,7 +63,11 @@ int main(int argc, char* argv[])
for (int i = 1; i < argc; ++i)
{
std::string sarg = std::string(argv[i]);
- if (sarg == "container")
+ if (sarg == "assign")
+ {
+ xt::assign::benchmark(std::cout);
+ }
+ else if (sarg == "container")
{
benchmark_container(std::cout);
}
@@ -68,16 +77,17 @@ int main(int argc, char* argv[])
}
else
{
- xt::benchmark_math(std::cout, sarg);
+ xt::math::benchmark_math(std::cout, sarg);
}
}
}
}
else
{
+ xt::assign::benchmark(std::cout);
benchmark_container(std::cout);
benchmark_views(std::cout);
- xt::benchmark_math(std::cout);
+ xt::math::benchmark_math(std::cout);
}
return 0;
}
diff --git a/docs/source/compilers.rst b/docs/source/compilers.rst
index 1b165cb..8caadf9 100644
--- a/docs/source/compilers.rst
+++ b/docs/source/compilers.rst
@@ -29,7 +29,7 @@ A consequence is that we need to use stack-allocated shape types in these cases.
GCC < 5.1 and ``std::is_trivially_default_constructible``
---------------------------------------------------------
-Versions of GCC older than 5.1 don't implement ``std::is_trivially_default_constructible`` but ``std::has_trivial_default_constructor`` instead. The workaround is to use a macro to do the replacement. This occurs in ``xtensor/xstorage.hpp`` only.
+The version of libstdc++ shipped with GCC older than 5.1 (and also used by Clang on linux) does not implement ``std::is_trivially_default_constructible`` but ``std::has_trivial_default_constructor`` instead. With GCC, this is done with a simple check of the version of GCC. In the case of the clang - linux combination, libstdc++ may be used. Since clang overrides the ``__GNUC__`` macro, the version of libstdc++ used cannot be retrived at runtime and some meta-programming techniques are u [...]
GCC-6 and the signature of ``std::isnan`` and ``std::isinf``
------------------------------------------------------------
diff --git a/include/xtensor/xassign.hpp b/include/xtensor/xassign.hpp
index bcfdac0..137b550 100644
--- a/include/xtensor/xassign.hpp
+++ b/include/xtensor/xassign.hpp
@@ -75,6 +75,17 @@ namespace xt
index_type m_index;
};
+ /********************
+ * trivial_assigner *
+ ********************/
+
+ template <bool index_assign>
+ struct trivial_assigner
+ {
+ template <class E1, class E2>
+ static void run(E1& e1, const E2& e2);
+ };
+
/***********************************
* Assign functions implementation *
***********************************/
@@ -103,7 +114,8 @@ namespace xt
bool trivial_broadcast = trivial && detail::is_trivial_broadcast(de1, de2);
if (trivial_broadcast)
{
- std::copy(de2.cbegin(), de2.cend(), de1.begin());
+ constexpr bool contiguous_layout = E1::contiguous_layout && E2::contiguous_layout;
+ trivial_assigner<contiguous_layout>::run(de1, de2);
}
else
{
@@ -223,6 +235,29 @@ namespace xt
m_lhs.to_end(l);
m_rhs.to_end(l);
}
+
+ /***********************************
+ * trivial_assigner implementation *
+ ***********************************/
+
+ template <bool index_assign>
+ template <class E1, class E2>
+ inline void trivial_assigner<index_assign>::run(E1& e1, const E2& e2)
+ {
+ using size_type = typename E1::size_type;
+ size_type size = e1.size();
+ for (size_type i = 0; i < size; ++i)
+ {
+ e1.data_element(i) = e2.data_element(i);
+ }
+ }
+
+ template <>
+ template <class E1, class E2>
+ inline void trivial_assigner<false>::run(E1& e1, const E2& e2)
+ {
+ std::copy(e2.cbegin(), e2.cend(), e1.begin());
+ }
}
#endif
diff --git a/include/xtensor/xbroadcast.hpp b/include/xtensor/xbroadcast.hpp
index f4848b9..0413e29 100644
--- a/include/xtensor/xbroadcast.hpp
+++ b/include/xtensor/xbroadcast.hpp
@@ -98,7 +98,8 @@ namespace xt
using const_stepper = typename iterable_base::const_stepper;
static constexpr layout_type static_layout = xexpression_type::static_layout;
- static constexpr bool contiguous_layout = xexpression_type::contiguous_layout;
+ //static constexpr bool contiguous_layout = xexpression_type::contiguous_layout;
+ static constexpr bool contiguous_layout = false;
template <class CTA, class S>
xbroadcast(CTA&& e, S&& s) noexcept;
@@ -274,7 +275,7 @@ namespace xt
* Returns a constant reference to the element at the specified position in the expression.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater
+ * The number of indices in the sequence should be equal to or greater
* than the number of dimensions of the function.
*/
template <class CT, class X>
diff --git a/include/xtensor/xbuffer_adaptor.hpp b/include/xtensor/xbuffer_adaptor.hpp
index da0ca0c..cfff361 100644
--- a/include/xtensor/xbuffer_adaptor.hpp
+++ b/include/xtensor/xbuffer_adaptor.hpp
@@ -13,6 +13,7 @@
#include <functional>
#include <iterator>
#include <memory>
+#include <stdexcept>
#include "xstorage.hpp"
@@ -320,7 +321,7 @@ namespace xt
{
allocator_type al = std::allocator_traits<allocator_type>::select_on_container_copy_construction(rhs.get_allocator());
pointer tmp = safe_init_allocate(al, rhs.m_size);
- if (std::is_trivially_default_constructible<value_type>::value)
+ if (xtrivially_default_constructible<value_type>::value)
{
std::uninitialized_copy(*(rhs.p_data), *(rhs.p_data) + rhs.m_size, tmp);
}
diff --git a/include/xtensor/xbuilder.hpp b/include/xtensor/xbuilder.hpp
index 240414f..eb16ed0 100644
--- a/include/xtensor/xbuilder.hpp
+++ b/include/xtensor/xbuilder.hpp
@@ -412,7 +412,7 @@ namespace xt
template <class... Args>
value_type operator()(Args... args) const
{
- std::array<size_type, sizeof...(Args)> args_arr({static_cast<size_type>(args)...});
+ std::array<size_type, sizeof...(Args)> args_arr = {static_cast<size_type>(args)...};
return m_source(args_arr[m_axis]);
}
diff --git a/include/xtensor/xcontainer.hpp b/include/xtensor/xcontainer.hpp
index 25976c2..88b7340 100644
--- a/include/xtensor/xcontainer.hpp
+++ b/include/xtensor/xcontainer.hpp
@@ -85,7 +85,7 @@ namespace xt
size_type size() const noexcept;
- size_type dimension() const noexcept;
+ constexpr size_type dimension() const noexcept;
const inner_shape_type& shape() const noexcept;
const inner_strides_type& strides() const noexcept;
@@ -149,11 +149,8 @@ namespace xt
using container_iterator = typename container_type::iterator;
using const_container_iterator = typename container_type::const_iterator;
- container_iterator data_xbegin() noexcept;
- const_container_iterator data_xbegin() const noexcept;
-
- container_iterator data_xend(layout_type l) noexcept;
- const_container_iterator data_xend(layout_type l) const noexcept;
+ reference data_element(size_type i);
+ const_reference data_element(size_type i) const;
protected:
@@ -166,8 +163,16 @@ namespace xt
xcontainer(xcontainer&&) = default;
xcontainer& operator=(xcontainer&&) = default;
+ container_iterator data_xbegin() noexcept;
+ const_container_iterator data_xbegin() const noexcept;
+ container_iterator data_xend(layout_type l) noexcept;
+ const_container_iterator data_xend(layout_type l) const noexcept;
+
private:
+ template <class C>
+ friend class xstepper;
+
template <class It>
It data_xend_impl(It end, layout_type l) const noexcept;
@@ -320,7 +325,7 @@ namespace xt
* Returns the number of dimensions of the container.
*/
template <class D>
- inline auto xcontainer<D>::dimension() const noexcept -> size_type
+ inline constexpr auto xcontainer<D>::dimension() const noexcept -> size_type
{
return shape().size();
}
@@ -428,7 +433,7 @@ namespace xt
* Returns a reference to the element at the specified position in the container.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater
+ * The number of indices in the sequence should be equal to or greater
* than the number of dimensions of the container.
*/
template <class D>
@@ -443,7 +448,7 @@ namespace xt
* Returns a reference to the element at the specified position in the container.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater
+ * The number of indices in the sequence should be equal to or greater
* than the number of dimensions of the container.
*/
template <class D>
@@ -722,6 +727,18 @@ namespace xt
return data_xend_impl(data().end(), l);
}
+ template <class D>
+ inline auto xcontainer<D>::data_element(size_type i) -> reference
+ {
+ return data()[i];
+ }
+
+ template <class D>
+ inline auto xcontainer<D>::data_element(size_type i) const -> const_reference
+ {
+ return data()[i];
+ }
+
/*************************************
* xstrided_container implementation *
*************************************/
diff --git a/include/xtensor/xexception.hpp b/include/xtensor/xexception.hpp
index 19d4d6e..983b4bc 100644
--- a/include/xtensor/xexception.hpp
+++ b/include/xtensor/xexception.hpp
@@ -104,13 +104,13 @@ namespace xt
namespace detail
{
- template <class S, size_t dim>
+ template <class S, std::size_t dim>
inline void check_index_impl(const S&)
{
}
- template <class S, size_t dim, class... Args>
- inline void check_index_impl(const S& shape, size_t i, Args... args)
+ template <class S, std::size_t dim, class... Args>
+ inline void check_index_impl(const S& shape, std::size_t arg, Args... args)
{
if (sizeof...(Args) + 1 > shape.size())
{
@@ -118,9 +118,9 @@ namespace xt
}
else
{
- if (i >= shape[dim] && shape[dim] != 1)
+ if (arg >= shape[dim] && shape[dim] != 1)
{
- throw std::out_of_range("index " + std::to_string(i) + " is out of bounds for axis "
+ throw std::out_of_range("index " + std::to_string(arg) + " is out of bounds for axis "
+ std::to_string(dim) + " with size " + std::to_string(shape[dim]));
}
check_index_impl<S, dim + 1>(shape, args...);
@@ -139,7 +139,7 @@ namespace xt
{
auto dst = static_cast<typename S::size_type>(last - first);
It efirst = last - std::min(shape.size(), dst);
- size_t axis = 0;
+ std::size_t axis = 0;
while (efirst != last)
{
if (*efirst >= shape[axis] && shape[axis] != 1)
diff --git a/include/xtensor/xfunction.hpp b/include/xtensor/xfunction.hpp
index f6f6aff..e7afbfe 100644
--- a/include/xtensor/xfunction.hpp
+++ b/include/xtensor/xfunction.hpp
@@ -188,6 +188,8 @@ namespace xt
template <class S>
const_stepper stepper_end(const S& shape, layout_type l) const noexcept;
+ const_reference data_element(size_type i) const;
+
private:
template <std::size_t... I>
@@ -199,6 +201,9 @@ namespace xt
template <std::size_t... I, class It>
const_reference element_access_impl(std::index_sequence<I...>, It first, It last) const;
+ template <std::size_t... I>
+ const_reference data_element_impl(std::index_sequence<I...>, size_type i) const;
+
template <class Func, std::size_t... I>
const_stepper build_stepper(Func&& f, std::index_sequence<I...>) const noexcept;
@@ -454,7 +459,7 @@ namespace xt
* Returns a constant reference to the element at the specified position in the function.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater
+ * The number of indices in the sequence should be equal to or greater
* than the number of dimensions of the container.
*/
template <class F, class R, class... CT>
@@ -605,6 +610,12 @@ namespace xt
}
template <class F, class R, class... CT>
+ inline auto xfunction<F, R, CT...>::data_element(size_type i) const -> const_reference
+ {
+ return data_element_impl(std::make_index_sequence<sizeof...(CT)>(), i);
+ }
+
+ template <class F, class R, class... CT>
template <std::size_t... I>
inline layout_type xfunction<F, R, CT...>::layout_impl(std::index_sequence<I...>) const noexcept
{
@@ -626,6 +637,13 @@ namespace xt
}
template <class F, class R, class... CT>
+ template <std::size_t... I>
+ inline auto xfunction<F, R, CT...>::data_element_impl(std::index_sequence<I...>, size_type i) const ->const_reference
+ {
+ return m_f((std::get<I>(m_e).data_element(i))...);
+ }
+
+ template <class F, class R, class... CT>
template <class Func, std::size_t... I>
inline auto xfunction<F, R, CT...>::build_stepper(Func&& f, std::index_sequence<I...>) const noexcept -> const_stepper
{
diff --git a/include/xtensor/xfunctorview.hpp b/include/xtensor/xfunctorview.hpp
index adc8494..b9db6bc 100644
--- a/include/xtensor/xfunctorview.hpp
+++ b/include/xtensor/xfunctorview.hpp
@@ -530,7 +530,7 @@ namespace xt
* Returns a reference to the element at the specified position in the expression.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater
+ * The number of indices in the sequence should be equal to or greater
* than the number of dimensions of the function.
*/
template <class F, class CT>
@@ -575,7 +575,7 @@ namespace xt
* Returns a constant reference to the element at the specified position in the expression.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater
+ * The number of indices in the sequence should be equal to or greater
* than the number of dimensions of the function.
*/
template <class F, class CT>
diff --git a/include/xtensor/xgenerator.hpp b/include/xtensor/xgenerator.hpp
index 8946416..734c038 100644
--- a/include/xtensor/xgenerator.hpp
+++ b/include/xtensor/xgenerator.hpp
@@ -80,7 +80,7 @@ namespace xt
using const_stepper = typename iterable_base::const_stepper;
static constexpr layout_type static_layout = layout_type::any;
- static constexpr bool contiguous_layout = true;
+ static constexpr bool contiguous_layout = false;
template <class Func>
xgenerator(Func&& f, const S& shape) noexcept;
@@ -209,7 +209,7 @@ namespace xt
* Returns a constant reference to the element at the specified position in the function.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater
+ * The number of indices in the sequence should be equal to or greater
* than the number of dimensions of the container.
*/
template <class F, class R, class S>
diff --git a/include/xtensor/xindexview.hpp b/include/xtensor/xindexview.hpp
index c48f110..7f4a0b1 100644
--- a/include/xtensor/xindexview.hpp
+++ b/include/xtensor/xindexview.hpp
@@ -365,7 +365,7 @@ namespace xt
/**
* Returns a reference to the element at the specified position in the xindexview.
* @param first iterator starting the sequence of indices
- * The number of indices in the squence should be equal to or greater 1.
+ * The number of indices in the sequence should be equal to or greater 1.
*/
template <class CT, class I>
template <class It>
diff --git a/include/xtensor/xinfo.hpp b/include/xtensor/xinfo.hpp
index 3148035..d3688c8 100644
--- a/include/xtensor/xinfo.hpp
+++ b/include/xtensor/xinfo.hpp
@@ -87,7 +87,7 @@ namespace xt
}
s += "\nShape: (";
bool first = true;
- for (auto& el : t.shape())
+ for (const auto& el : t.shape())
{
if (!first)
{
@@ -98,7 +98,7 @@ namespace xt
}
s += ")\nStrides: (";
first = true;
- for (auto& el : t.strides())
+ for (const auto& el : t.strides())
{
if (!first)
{
diff --git a/include/xtensor/xreducer.hpp b/include/xtensor/xreducer.hpp
index b8e86c9..204135d 100644
--- a/include/xtensor/xreducer.hpp
+++ b/include/xtensor/xreducer.hpp
@@ -423,7 +423,7 @@ namespace xt
* Returns a constant reference to the element at the specified position in the reducer.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater
+ * The number of indices in the sequence should be equal to or greater
* than the number of dimensions of the reducer.
*/
template <class F, class CT, class X>
diff --git a/include/xtensor/xscalar.hpp b/include/xtensor/xscalar.hpp
index 48dbc1e..39650ae 100644
--- a/include/xtensor/xscalar.hpp
+++ b/include/xtensor/xscalar.hpp
@@ -133,6 +133,9 @@ namespace xt
const_dummy_iterator dummy_begin() const noexcept;
const_dummy_iterator dummy_end() const noexcept;
+ reference data_element(size_type i) noexcept;
+ const_reference data_element(size_type i) const noexcept;
+
private:
CT m_value;
@@ -461,6 +464,18 @@ namespace xt
return const_dummy_iterator(this);
}
+ template <class CT>
+ inline auto xscalar<CT>::data_element(size_type) noexcept->reference
+ {
+ return m_value;
+ }
+
+ template <class CT>
+ inline auto xscalar<CT>::data_element(size_type) const noexcept->const_reference
+ {
+ return m_value;
+ }
+
template <class T>
inline xscalar<T&> xref(T& t)
{
diff --git a/include/xtensor/xslice.hpp b/include/xtensor/xslice.hpp
index 705a0fa..1f9b5bd 100644
--- a/include/xtensor/xslice.hpp
+++ b/include/xtensor/xslice.hpp
@@ -297,13 +297,13 @@ namespace xt
inline disable_xslice<S, std::size_t> get_size(const S&) noexcept
{
return 1;
- };
+ }
template <class S>
inline auto get_size(const xslice<S>& slice) noexcept
{
return slice.derived_cast().size();
- };
+ }
/*******************************************************
* homogeneous step_size for integral types and slices *
diff --git a/include/xtensor/xstorage.hpp b/include/xtensor/xstorage.hpp
index 083b057..d49ca75 100644
--- a/include/xtensor/xstorage.hpp
+++ b/include/xtensor/xstorage.hpp
@@ -16,10 +16,7 @@
#include <memory>
#include <type_traits>
-// Compiler bug workaround
-#if (__GNUC__ && (__GNUC__ < 5 || (__GNUC__ == 5 && __GNUC_MINOR__ < 1))) && !(defined(__APPLE__)) || defined(X_OLD_CLANG)
-#define is_trivially_default_constructible has_trivial_default_constructor
-#endif
+#include "xutils.hpp"
namespace xt
{
@@ -158,7 +155,7 @@ namespace xt
using pointer = typename A::pointer;
using value_type = typename A::value_type;
pointer res = alloc.allocate(size);
- if (!std::is_trivially_default_constructible<value_type>::value)
+ if (!xtrivially_default_constructible<value_type>::value)
{
for (pointer p = res; p != res + size; ++p)
{
@@ -175,7 +172,7 @@ namespace xt
using value_type = typename A::value_type;
if (ptr != nullptr)
{
- if (!std::is_trivially_default_constructible<value_type>::value)
+ if (!xtrivially_default_constructible<value_type>::value)
{
for (pointer p = ptr; p != ptr + size; ++p)
{
@@ -294,7 +291,7 @@ namespace xt
{
m_allocator = std::allocator_traits<allocator_type>::select_on_container_copy_construction(rhs.get_allocator());
resize_impl(rhs.size());
- if (std::is_trivially_default_constructible<value_type>::value)
+ if (xtrivially_default_constructible<value_type>::value)
{
std::uninitialized_copy(rhs.p_begin, rhs.p_end, p_begin);
}
diff --git a/include/xtensor/xstridedview.hpp b/include/xtensor/xstridedview.hpp
index d60e375..7f11a7e 100644
--- a/include/xtensor/xstridedview.hpp
+++ b/include/xtensor/xstridedview.hpp
@@ -152,12 +152,6 @@ namespace xt
using container_iterator = typename std::decay_t<CD>::iterator;
using const_container_iterator = typename std::decay_t<CD>::const_iterator;
- container_iterator data_xbegin() noexcept;
- const_container_iterator data_xbegin() const noexcept;
-
- container_iterator data_xend(layout_type l) noexcept;
- const_container_iterator data_xend(layout_type l) const noexcept;
-
underlying_container_type& data() noexcept;
const underlying_container_type& data() const noexcept;
@@ -166,8 +160,18 @@ namespace xt
size_type raw_data_offset() const noexcept;
+ protected:
+
+ container_iterator data_xbegin() noexcept;
+ const_container_iterator data_xbegin() const noexcept;
+ container_iterator data_xend(layout_type l) noexcept;
+ const_container_iterator data_xend(layout_type l) const noexcept;
+
private:
+ template <class C>
+ friend class xstepper;
+
template <class It>
It data_xbegin_impl(It begin) const noexcept;
@@ -396,7 +400,7 @@ namespace xt
* Returns a reference to the element at the specified position in the xstrided_view.
* @param first iterator starting the sequence of indices
* @param last iterator ending the sequence of indices
- * The number of indices in the squence should be equal to or greater than the the number
+ * The number of indices in the sequence should be equal to or greater than the the number
* of dimensions of the container..
*/
template <class CT, class S, class CD>
@@ -555,7 +559,7 @@ namespace xt
template <class E, class S>
inline auto transpose_impl(E&& e, S&& permutation, check_policy::none)
{
- if (container_size(permutation) != e.dimension())
+ if (sequence_size(permutation) != e.dimension())
{
throw transpose_error("Permutation does not have the same size as shape");
}
@@ -586,9 +590,9 @@ namespace xt
inline auto transpose_impl(E&& e, S&& permutation, check_policy::full)
{
// check if axis appears twice in permutation
- for (std::size_t i = 0; i < container_size(permutation); ++i)
+ for (std::size_t i = 0; i < sequence_size(permutation); ++i)
{
- for (std::size_t j = i + 1; j < container_size(permutation); ++j)
+ for (std::size_t j = i + 1; j < sequence_size(permutation); ++j)
{
if (permutation[i] == permutation[j])
{
diff --git a/include/xtensor/xstrides.hpp b/include/xtensor/xstrides.hpp
index 8e373ae..a9e03a7 100644
--- a/include/xtensor/xstrides.hpp
+++ b/include/xtensor/xstrides.hpp
@@ -29,8 +29,8 @@ namespace xt
template <class size_type, class S, size_t dim = 0>
size_type data_offset(const S& strides) noexcept;
- template <class size_type, class S, size_t dim = 0, class... Args>
- size_type data_offset(const S& strides, size_type i, Args... args) noexcept;
+ template <class size_type, class S, size_t dim = 0, class Arg, class... Args>
+ size_type data_offset(const S& strides, Arg arg, Args... args) noexcept;
template <class size_type, class S, class It>
size_type element_offset(const S& strides, It first, It last) noexcept;
@@ -71,30 +71,57 @@ namespace xt
inline auto compute_size(const shape_type& shape) noexcept
{
using size_type = std::decay_t<typename shape_type::value_type>;
- return std::accumulate(shape.begin(), shape.end(), size_type(1), std::multiplies<size_type>());
+ return std::accumulate(shape.cbegin(), shape.cend(), size_type(1), std::multiplies<size_type>());
}
- template <class size_type, class S, size_t dim>
- inline size_type data_offset(const S& /*strides*/) noexcept
+ namespace detail
+ {
+ template <class size_type, class S, std::size_t dim>
+ inline size_type raw_data_offset(const S&) noexcept
+ {
+ return 0;
+ }
+
+ template <class size_type, class S, std::size_t dim, class Arg, class... Args>
+ inline size_type raw_data_offset(const S& strides, Arg arg, Args... args) noexcept
+ {
+ return arg * strides[dim] + raw_data_offset<size_type, S, dim + 1>(strides, args...);
+ }
+ }
+
+ template <class size_type, class S, std::size_t dim>
+ inline size_type data_offset(const S&) noexcept
{
return 0;
}
- template <class size_type, class S, size_t dim, class... Args>
- inline size_type data_offset(const S& strides, size_type i, Args... args) noexcept
+ template <class size_type, class S, std::size_t dim, class Arg, class... Args>
+ inline size_type data_offset(const S& strides, Arg arg, Args... args) noexcept
{
- if (sizeof...(Args) + 1 > strides.size())
+ constexpr std::size_t nargs = sizeof...(Args) + dim + 1;
+ if (nargs == strides.size())
+ {
+ // Correct number of arguments: iterate
+ return detail::raw_data_offset<size_type, S, dim, Arg, Args...>(strides, arg, args...);
+ }
+ else if (nargs > strides.size())
+ {
+ // Too many arguments: drop the first
return data_offset<size_type, S, dim>(strides, args...);
+ }
else
- return i * strides[dim] + data_offset<size_type, S, dim + 1>(strides, args...);
+ {
+ // Too few arguments: right to left scalar product
+ auto view = strides.cend() - nargs;
+ return detail::raw_data_offset<size_type, const typename S::const_iterator, dim, Arg, Args...>(view, arg, args...);
+ }
}
template <class size_type, class S, class It>
inline size_type element_offset(const S& strides, It first, It last) noexcept
{
- auto dst = static_cast<typename S::size_type>(std::distance(first, last));
- It efirst = last - std::min(strides.size(), dst);
- return std::inner_product(efirst, last, strides.begin(), size_type(0));
+ auto size = std::min(static_cast<typename S::size_type>(std::distance(first, last)), strides.size());
+ return std::inner_product(last - size, last, strides.cend() - size, size_type(0));
}
namespace detail
diff --git a/include/xtensor/xtensor_config.hpp b/include/xtensor/xtensor_config.hpp
index 4acb84e..72af5dc 100644
--- a/include/xtensor/xtensor_config.hpp
+++ b/include/xtensor/xtensor_config.hpp
@@ -11,7 +11,7 @@
#define XTENSOR_VERSION_MAJOR 0
#define XTENSOR_VERSION_MINOR 10
-#define XTENSOR_VERSION_PATCH 7
+#define XTENSOR_VERSION_PATCH 9
// DETECT 3.6 <= clang < 3.8 for compiler bug workaround.
#ifdef __clang__
diff --git a/include/xtensor/xutils.hpp b/include/xtensor/xutils.hpp
index c044bff..6361edc 100644
--- a/include/xtensor/xutils.hpp
+++ b/include/xtensor/xutils.hpp
@@ -83,11 +83,11 @@ namespace xt
// equivalent to std::size(c) in c++17
template <class C>
- constexpr auto container_size(const C& c) -> decltype(c.size());
+ constexpr auto sequence_size(const C& c) -> decltype(c.size());
// equivalent to std::size(a) in c++17
template <class T, std::size_t N>
- constexpr std::size_t container_size(const T (&a)[N]);
+ constexpr std::size_t sequence_size(const T (&a)[N]);
/*******************************
* remove_class implementation *
@@ -880,20 +880,20 @@ namespace xt
return detail::to_array_impl(a, std::make_index_sequence<N>{});
}
- /*********************************
- * container_size implementation *
- *********************************/
+ /********************************
+ * sequence_size implementation *
+ ********************************/
// equivalent to std::size(c) in c++17
template <class C>
- constexpr auto container_size(const C& c) -> decltype(c.size())
+ constexpr auto sequence_size(const C& c) -> decltype(c.size())
{
return c.size();
}
// equivalent to std::size(a) in c++17
template <class T, std::size_t N>
- constexpr std::size_t container_size(const T (&)[N])
+ constexpr std::size_t sequence_size(const T (&)[N])
{
return N;
}
@@ -915,6 +915,82 @@ namespace xt
constexpr static bool value = decltype(test<T>(std::size_t(0)))::value == true;
};
+
+ /*****************************
+ * is_complete implemenation *
+ *****************************/
+
+ namespace detail
+ {
+ template <typename T>
+ struct is_complete_impl
+ {
+ template <typename U>
+ static auto test(U*) -> std::integral_constant<bool, sizeof(U) == sizeof(U)>;
+ static auto test(...) -> std::false_type;
+ using type = decltype(test((T*)0));
+ };
+ }
+
+ template <typename T>
+ struct is_complete : detail::is_complete_impl<T>::type {};
+
+ /********************************************
+ * xtrivial_default_construct implemenation *
+ ********************************************/
+
+#if defined(__clang__)
+#if !(defined(__APPLE__))
+// CLANG && LINUX
+#pragma clang diagnostic push
+#pragma clang diagnostic ignored "-Wdeprecated-declarations"
+
+}
+namespace std { template <class T> struct is_trivially_default_constructible; }
+namespace std { template <class T> struct has_trivial_default_constructor; }
+namespace xt
+{
+
+ namespace detail
+ {
+ template <bool C, class T>
+ struct xtrivial_default_construct_impl;
+
+ template <class T>
+ struct xtrivial_default_construct_impl<true, T> : std::is_trivially_default_constructible<T> {};
+
+ template <class T>
+ struct xtrivial_default_construct_impl<false, T> : std::has_trivial_default_constructor<T> {};
+ }
+
+ template <class T>
+ using xtrivially_default_constructible = detail::xtrivial_default_construct_impl<is_complete<std::is_trivially_default_constructible<double>>::value, T>;
+
+#pragma clang diagnostic pop
+#else
+// CLANG && APPLE
+
+ template <class T>
+ using xtrivially_default_constructible = std::is_trivially_default_constructible<T>;
+
+#endif
+#else
+// NOT CLANG
+ #if defined(__GNUC__) && (__GNUC__ < 5 || (__GNUC__ == 5 && __GNUC_MINOR__ < 1))
+ // OLD GCC
+
+ template <class T>
+ using xtrivially_default_constructible = std::has_trivial_default_constructor<T>;
+
+ #else
+
+ template <class T>
+ using xtrivially_default_constructible = std::is_trivially_default_constructible<T>;
+
+ #endif
+
+#endif
+
}
#endif
diff --git a/include/xtensor/xview.hpp b/include/xtensor/xview.hpp
index 640b263..2d78600 100644
--- a/include/xtensor/xview.hpp
+++ b/include/xtensor/xview.hpp
@@ -467,6 +467,7 @@ namespace xt
template <class It>
inline auto xview<CT, S...>::element(It first, It last) -> reference
{
+ // TODO: avoid memory allocation
auto index = make_index(first, last);
return m_e.element(index.cbegin(), index.cend());
}
@@ -503,6 +504,7 @@ namespace xt
template <class It>
inline auto xview<CT, S...>::element(It first, It last) const -> const_reference
{
+ // TODO: avoid memory allocation
auto index = make_index(first, last);
return m_e.element(index.cbegin(), index.cend());
}
diff --git a/include/xtensor/xview_utils.hpp b/include/xtensor/xview_utils.hpp
index 5fcd154..f0e7f40 100644
--- a/include/xtensor/xview_utils.hpp
+++ b/include/xtensor/xview_utils.hpp
@@ -49,13 +49,13 @@ namespace xt
inline disable_xslice<S, std::size_t> get_slice_value(const S& s, It&) noexcept
{
return s;
- };
+ }
template <class S, class It>
inline auto get_slice_value(const xslice<S>& slice, It& it) noexcept
{
return slice.derived_cast()(typename S::size_type(*it++));
- };
+ }
/***********************
* view_temporary_type *
diff --git a/notebooks/images/binder-logo.png b/notebooks/images/binder-logo.png
index f5ac8a7..7c0aa19 100644
Binary files a/notebooks/images/binder-logo.png and b/notebooks/images/binder-logo.png differ
diff --git a/notebooks/images/binder-logo.svg b/notebooks/images/binder-logo.svg
index 841477b..2348aca 100644
--- a/notebooks/images/binder-logo.svg
+++ b/notebooks/images/binder-logo.svg
@@ -2,7 +2,7 @@
<!-- Generator: Adobe Illustrator 16.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
<svg
- xmlns:i="&ns_ai;"
+ xmlns:i="&#38;ns_ai;"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:cc="http://creativecommons.org/ns#"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
@@ -15,16 +15,19 @@
id="Layer_1"
x="0px"
y="0px"
- width="212.118px"
- height="65.883px"
- viewBox="0 0 212.118 65.883"
+ width="186.72411"
+ height="42.479202"
+ viewBox="0 0 186.72411 42.4792"
enable-background="new 0 0 212.118 65.883"
xml:space="preserve"
inkscape:version="0.91 r13725"
- sodipodi:docname="binder-logo.svg"><metadata
+ sodipodi:docname="binder-logo.svg"
+ inkscape:export-filename="/home/sylvain/dev/QuantStack/xtensor/notebooks/images/binder-logo.png"
+ inkscape:export-xdpi="90"
+ inkscape:export-ydpi="90"><metadata
id="metadata35"><rdf:RDF><cc:Work
rdf:about=""><dc:format>image/svg+xml</dc:format><dc:type
- rdf:resource="http://purl.org/dc/dcmitype/StillImage" /></cc:Work></rdf:RDF></metadata><defs
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" /><dc:title /></cc:Work></rdf:RDF></metadata><defs
id="defs33" /><sodipodi:namedview
pagecolor="#ffffff"
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@@ -34,19 +37,23 @@
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diff --git a/notebooks/xtensor.ipynb b/notebooks/xtensor.ipynb
index cfe409e..d66b121 100644
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+++ b/notebooks/xtensor.ipynb
@@ -2,10 +2,7 @@
"cells": [
{
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- "metadata": {
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"source": [
"# \n",
"\n",
@@ -17,28 +14,17 @@
" text-align: center;\n",
" padding: 8px; \">\n",
" This live demo is powered by\n",
- " <div style=\"margin-left: auto; margin-right: auto;\n",
- " margin-top: 20px; margin-right: auto;\n",
- " width: 700px;\">\n",
- " <a href=\"http://mybinder.org/\" title=\"The Mybinder Project\">\n",
- " <img src=\"./images/binder-logo.png\" alt=\"Binder Logo\" \n",
- " style=\"display: inline-block;\">\n",
- " </a>\n",
- " <a href=\"http://jupyter.org/\" title=\"The Jupyter Notebook\">\n",
- " <img src=\"./images/jupyter-logo.png\" alt=\"Jupyter Logo\"\n",
- " style=\"display: inline-block;\">\n",
- " </a>\n",
- " <a href=\"https://root.cern.ch/cling\" title=\"The Cling C++ Interpreter\">\n",
- " <img src=\"./images/cling-logo.png\" alt=\"Cling Logo\"\n",
- " style=\"display: inline-block;\">\n",
- " </a>\n",
+ " <div style=\"margin-left: auto; margin-right: auto; display: flex; max-width: 600px\">\n",
+ " <div style=\"margin: 20px;\"><img src=\"./images/binder-logo.png\" alt=\"Binder Logo\"></div>\n",
+ " <div style=\"margin: 20px;\"><img src=\"./images/jupyter-logo.png\" alt=\"Jupyter Logo\"></div>\n",
+ " <div style=\"margin: 20px;\"><img src=\"./images/cling-logo.png\" alt=\"Cling Logo\"></div>\n",
" </div>\n",
"</div>\n",
"<div style=\"background: #ffeded;\n",
" border: 1px solid grey;\n",
" margin: 8px 0 8px 0;\n",
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},
{
"cell_type": "markdown",
- "metadata": {
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- "deletable": true,
- "editable": true
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+ "metadata": {},
"source": [
"## Introduction\n",
"\n",
@@ -80,9 +62,7 @@
{
"cell_type": "markdown",
"metadata": {
- "collapsed": true,
- "deletable": true,
- "editable": true
+ "collapsed": true
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"source": [
"## Usage\n",
@@ -111,20 +91,9 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
+ "collapsed": true
},
- "outputs": [
- {
- "data": {
- "text/plain": []
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"#include <iostream>\n",
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@@ -134,23 +103,12 @@
{
"cell_type": "code",
"execution_count": 2,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{ 7., 11., 14.}"
- ]
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- {
"data": {
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+ "{ 7., 11., 14.}"
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},
{
"cell_type": "markdown",
- "metadata": {
- "deletable": true,
- "editable": true
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+ "metadata": {},
"source": [
"### Initialize a 1-D array and reshape it inplace"
]
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"cell_type": "code",
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"metadata": {
- "collapsed": false,
- "deletable": true,
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+ "collapsed": true
},
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{
"cell_type": "code",
"execution_count": 4,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
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"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{{1, 2, 3},\n",
- " {4, 5, 6},\n",
- " {7, 8, 9}}"
- ]
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},
{
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- "metadata": {
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- "editable": true
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"source": [
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]
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"execution_count": 5,
"metadata": {
- "collapsed": false,
- "deletable": true,
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- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
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- ],
+ "outputs": [],
"source": [
"#include <iostream>\n",
"#include \"xtensor/xarray.hpp\"\n",
@@ -280,26 +199,15 @@
{
"cell_type": "code",
"execution_count": 6,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{{ 1., 16., 81.},\n",
- " { 1., 32., 243.},\n",
- " { 1., 64., 729.},\n",
- " { 1., 128., 2187.}}"
- ]
- },
- {
"data": {
"text/plain": [
- "(std::ostream &) @0x7f94d0538f40\n"
+ "{{ 1., 16., 81.},\n",
+ " { 1., 32., 243.},\n",
+ " { 1., 64., 729.},\n",
+ " { 1., 128., 2187.}}"
]
},
"execution_count": 6,
@@ -321,10 +229,7 @@
},
{
"cell_type": "markdown",
- "metadata": {
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"source": [
"### Random arrays with the random module"
]
@@ -333,20 +238,9 @@
"cell_type": "code",
"execution_count": 7,
"metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
+ "collapsed": true
},
- "outputs": [
- {
- "data": {
- "text/plain": []
- },
- "execution_count": 7,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"#include <iostream>\n",
"#include \"xtensor/xrandom.hpp\""
@@ -355,26 +249,15 @@
{
"cell_type": "code",
"execution_count": 8,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{{ 0.13453 , -0.146382, 0.46065 },\n",
- " {-1.871384, 0.163712, -0.214253},\n",
- " { 0.298595, -0.827944, 0.010215},\n",
- " { 1.055466, -0.546841, 1.174568}}"
- ]
- },
- {
"data": {
"text/plain": [
- "(std::ostream &) @0x7f94d0538f40\n"
+ "{{ 0.13453 , -0.146382, 0.46065 },\n",
+ " {-1.871384, 0.163712, -0.214253},\n",
+ " { 0.298595, -0.827944, 0.010215},\n",
+ " { 1.055466, -0.546841, 1.174568}}"
]
},
"execution_count": 8,
@@ -390,26 +273,15 @@
{
"cell_type": "code",
"execution_count": 9,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{{ 0.660682, -1.049443, 1.485964},\n",
- " {-0.625276, -2.559122, -0.829081},\n",
- " {-0.539781, -0.888707, -0.628956},\n",
- " { 1.019224, 0.339587, -0.482589}}"
- ]
- },
- {
"data": {
"text/plain": [
- "(std::ostream &) @0x7f94d0538f40\n"
+ "{{ 0.660682, -1.049443, 1.485964},\n",
+ " {-0.625276, -2.559122, -0.829081},\n",
+ " {-0.539781, -0.888707, -0.628956},\n",
+ " { 1.019224, 0.339587, -0.482589}}"
]
},
"execution_count": 9,
@@ -423,10 +295,7 @@
},
{
"cell_type": "markdown",
- "metadata": {
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"source": [
"### Using `linspace`, `arange`, `ones`, `zeros`"
]
@@ -435,20 +304,9 @@
"cell_type": "code",
"execution_count": 10,
"metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
+ "collapsed": true
},
- "outputs": [
- {
- "data": {
- "text/plain": []
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"#include \"xtensor/xbuilder.hpp\""
]
@@ -456,26 +314,15 @@
{
"cell_type": "code",
"execution_count": 11,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{{ 0. , 0.909091, 1.818182},\n",
- " { 2.727273, 3.636364, 4.545455},\n",
- " { 5.454545, 6.363636, 7.272727},\n",
- " { 8.181818, 9.090909, 10. }}"
- ]
- },
- {
"data": {
"text/plain": [
- "(std::ostream &) @0x7f94d0538f40\n"
+ "{{ 0. , 0.909091, 1.818182},\n",
+ " { 2.727273, 3.636364, 4.545455},\n",
+ " { 5.454545, 6.363636, 7.272727},\n",
+ " { 8.181818, 9.090909, 10. }}"
]
},
"execution_count": 11,
@@ -493,24 +340,14 @@
"cell_type": "code",
"execution_count": 12,
"metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true,
"scrolled": false
},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{{ 1., 1.},\n",
- " { 1., 1.}}"
- ]
- },
- {
"data": {
"text/plain": [
- "(std::ostream &) @0x7f94d0538f40\n"
+ "{{ 1., 1.},\n",
+ " { 1., 1.}}"
]
},
"execution_count": 12,
@@ -525,10 +362,7 @@
},
{
"cell_type": "markdown",
- "metadata": {
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"source": [
"### Using `xt::broadcast`"
]
@@ -537,20 +371,9 @@
"cell_type": "code",
"execution_count": 13,
"metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
+ "collapsed": true
},
- "outputs": [
- {
- "data": {
- "text/plain": []
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"#include <vector>\n",
"#include \"xtensor/xbroadcast.hpp\""
@@ -559,25 +382,14 @@
{
"cell_type": "code",
"execution_count": 14,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{{ 0. , 3.333333, 6.666667, 10. },\n",
- " { 0. , 3.333333, 6.666667, 10. },\n",
- " { 0. , 3.333333, 6.666667, 10. }}"
- ]
- },
- {
"data": {
"text/plain": [
- "(std::ostream &) @0x7f94d0538f40\n"
+ "{{ 0. , 3.333333, 6.666667, 10. },\n",
+ " { 0. , 3.333333, 6.666667, 10. },\n",
+ " { 0. , 3.333333, 6.666667, 10. }}"
]
},
"execution_count": 14,
@@ -592,10 +404,7 @@
},
{
"cell_type": "markdown",
- "metadata": {
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"source": [
"### Using standard algorithms with xexpressions"
]
@@ -604,20 +413,9 @@
"cell_type": "code",
"execution_count": 15,
"metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
+ "collapsed": true
},
- "outputs": [
- {
- "data": {
- "text/plain": []
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"#include <algorithm>"
]
@@ -625,26 +423,15 @@
{
"cell_type": "code",
"execution_count": 16,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "{{ 2.108857, -0.121306},\n",
- " {-0.287389, -0.371003}}\n",
- "\n",
- "1.32916"
- ]
- },
- {
"data": {
"text/plain": [
- "(std::basic_ostream<char, std::char_traits<char> >::__ostream_type &) @0x7f94d0538f40\n"
+ "{{ 2.108857, -0.121306},\n",
+ " {-0.287389, -0.371003}}\n",
+ "\n",
+ "1.32916"
]
},
"execution_count": 16,
@@ -663,10 +450,7 @@
},
{
"cell_type": "markdown",
- "metadata": {
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"source": [
"### Iterating over a prescribed broadcasted shape"
]
@@ -674,23 +458,12 @@
{
"cell_type": "code",
"execution_count": 17,
- "metadata": {
- "collapsed": false,
- "deletable": true,
- "editable": true
- },
+ "metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "3.98747"
- ]
- },
- {
"data": {
"text/plain": [
- "(std::basic_ostream<char, std::char_traits<char> >::__ostream_type &) @0x7f94d0538f40\n"
+ "3.98747"
]
},
"execution_count": 17,
@@ -704,19 +477,29 @@
"std::vector<std::size_t> shape = {3, 2, 2};\n",
"std::cout << std::accumulate(frand.xbegin(shape), frand.xend(shape), 0.0);"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "C++14",
+ "display_name": "xeus C++14",
"language": "",
- "name": "cling-c++14"
+ "name": "xeus-cling-cpp14"
},
"language_info": {
"codemirror_mode": "text/x-c++src",
- "file_extension": ".c++",
- "mimetype": " text/x-c++src",
- "name": "c++"
+ "file_extension": ".cpp",
+ "mimetype": "text/x-c++src",
+ "name": "c++",
+ "version": ""
}
},
"nbformat": 4,
diff --git a/test/test_common.hpp b/test/test_common.hpp
index cb18bcd..05c5623 100644
--- a/test/test_common.hpp
+++ b/test/test_common.hpp
@@ -338,7 +338,7 @@ namespace xt
vec.reshape(rm.m_shape, layout_type::row_major);
assign_array(vec, rm.m_assigner);
EXPECT_EQ(vec.data(), rm.m_data);
- EXPECT_EQ(vec(2, 1, 0), vec(2, 1));
+ EXPECT_EQ(vec(0, 1, 1), vec(1, 1));
EXPECT_EQ(vec(2, 1, 3), vec(2, 2, 2, 1, 3));
test_bound_check(vec);
}
@@ -349,7 +349,7 @@ namespace xt
vec.reshape(cm.m_shape, layout_type::column_major);
assign_array(vec, cm.m_assigner);
EXPECT_EQ(vec.data(), cm.m_data);
- EXPECT_EQ(vec(2, 1, 0), vec(2, 1));
+ EXPECT_EQ(vec(0, 1, 1), vec(1, 1));
EXPECT_EQ(vec(2, 1, 3), vec(2, 2, 2, 1, 3));
test_bound_check(vec);
}
@@ -360,7 +360,7 @@ namespace xt
vec.reshape(cem.m_shape, cem.m_strides);
assign_array(vec, cem.m_assigner);
EXPECT_EQ(vec.data(), cem.m_data);
- EXPECT_EQ(vec(2, 1, 0), vec(2, 1));
+ EXPECT_EQ(vec(0, 1, 1), vec(1, 1));
EXPECT_EQ(vec(2, 1, 3), vec(2, 2, 2, 1, 3));
test_bound_check(vec);
}
@@ -371,12 +371,76 @@ namespace xt
vec.reshape(usr.m_shape, layout_type::row_major);
assign_array(vec, usr.m_assigner);
EXPECT_EQ(vec.data(), usr.m_data);
- EXPECT_EQ(vec(2, 0, 0), vec(2, 0));
+ EXPECT_EQ(vec(0, 1, 0), vec(1, 0));
EXPECT_EQ(vec(2, 0, 3), vec(2, 2, 2, 0, 3));
test_bound_check(vec);
}
}
+ template <class V, class C = std::vector<std::size_t>>
+ void test_element(V& vec)
+ {
+ {
+ SCOPED_TRACE("row_major access");
+ row_major_result<C> rm;
+ vec.reshape(rm.m_shape, layout_type::row_major);
+ assign_array(vec, rm.m_assigner);
+ EXPECT_EQ(vec.data(), rm.m_data);
+ std::vector<std::size_t> index1 = {0, 1, 1};
+ std::vector<std::size_t> index2 = {1, 1};
+ std::vector<std::size_t> index3 = {2, 1, 3};
+ std::vector<std::size_t> index4 = {2, 2, 2, 1, 3};
+ EXPECT_EQ(vec.element(index1.begin(), index1.end()), vec.element(index2.begin(), index2.end()));
+ EXPECT_EQ(vec.element(index3.begin(), index3.end()), vec.element(index4.begin(), index4.end()));
+ test_bound_check(vec);
+ }
+
+ {
+ SCOPED_TRACE("column_major access");
+ column_major_result<C> cm;
+ vec.reshape(cm.m_shape, layout_type::column_major);
+ assign_array(vec, cm.m_assigner);
+ EXPECT_EQ(vec.data(), cm.m_data);
+ std::vector<std::size_t> index1 = {0, 1, 1};
+ std::vector<std::size_t> index2 = {1, 1};
+ std::vector<std::size_t> index3 = {2, 1, 3};
+ std::vector<std::size_t> index4 = {2, 2, 2, 1, 3};
+ EXPECT_EQ(vec.element(index1.begin(), index1.end()), vec.element(index2.begin(), index2.end()));
+ EXPECT_EQ(vec.element(index3.begin(), index3.end()), vec.element(index4.begin(), index4.end()));
+ test_bound_check(vec);
+ }
+
+ {
+ SCOPED_TRACE("central_major access");
+ central_major_result<C> cem;
+ vec.reshape(cem.m_shape, cem.m_strides);
+ assign_array(vec, cem.m_assigner);
+ EXPECT_EQ(vec.data(), cem.m_data);
+ std::vector<std::size_t> index1 = {0, 1, 1};
+ std::vector<std::size_t> index2 = {1, 1};
+ std::vector<std::size_t> index3 = {2, 1, 3};
+ std::vector<std::size_t> index4 = {2, 2, 2, 1, 3};
+ EXPECT_EQ(vec.element(index1.begin(), index1.end()), vec.element(index2.begin(), index2.end()));
+ EXPECT_EQ(vec.element(index3.begin(), index3.end()), vec.element(index4.begin(), index4.end()));
+ test_bound_check(vec);
+ }
+
+ {
+ SCOPED_TRACE("unit_shape access");
+ unit_shape_result<C> usr;
+ vec.reshape(usr.m_shape, layout_type::row_major);
+ assign_array(vec, usr.m_assigner);
+ EXPECT_EQ(vec.data(), usr.m_data);
+ std::vector<std::size_t> index1 = {0, 1, 0};
+ std::vector<std::size_t> index2 = {1, 0};
+ std::vector<std::size_t> index3 = {2, 0, 3};
+ std::vector<std::size_t> index4 = {2, 2, 2, 0, 3};
+ EXPECT_EQ(vec.element(index1.begin(), index1.end()), vec.element(index2.begin(), index2.end()));
+ EXPECT_EQ(vec.element(index3.begin(), index3.end()), vec.element(index4.begin(), index4.end()));
+ test_bound_check(vec);
+ }
+ }
+
template <class V1, class V2>
void indexed_assign_array(V1& dst, const V2& src)
{
@@ -399,7 +463,7 @@ namespace xt
template <class V, class C = std::vector<std::size_t>>
void test_indexed_access(V& vec)
{
- xindex index1 = {2, 1};
+ xindex index1 = {1, 1};
xindex index2 = {2, 2, 2, 1, 3};
{
SCOPED_TRACE("row_major access");
@@ -407,7 +471,7 @@ namespace xt
vec.reshape(rm.m_shape, layout_type::row_major);
indexed_assign_array(vec, rm.m_assigner);
EXPECT_EQ(vec.data(), rm.m_data);
- EXPECT_EQ(vec(2, 1, 0), vec[index1]);
+ EXPECT_EQ(vec(0, 1, 1), vec[index1]);
EXPECT_EQ(vec(2, 1, 3), vec[index2]);
}
@@ -417,7 +481,7 @@ namespace xt
vec.reshape(cm.m_shape, layout_type::column_major);
indexed_assign_array(vec, cm.m_assigner);
EXPECT_EQ(vec.data(), cm.m_data);
- EXPECT_EQ(vec(2, 1, 0), vec[index1]);
+ EXPECT_EQ(vec(0, 1, 1), vec[index1]);
EXPECT_EQ(vec(2, 1, 3), vec[index2]);
}
@@ -427,7 +491,7 @@ namespace xt
vec.reshape(cem.m_shape, cem.m_strides);
indexed_assign_array(vec, cem.m_assigner);
EXPECT_EQ(vec.data(), cem.m_data);
- EXPECT_EQ(vec(2, 1, 0), vec[index1]);
+ EXPECT_EQ(vec(0, 1, 1), vec[index1]);
EXPECT_EQ(vec(2, 1, 3), vec[index2]);
}
@@ -437,9 +501,9 @@ namespace xt
vec.reshape(usr.m_shape, layout_type::row_major);
indexed_assign_array(vec, usr.m_assigner);
EXPECT_EQ(vec.data(), usr.m_data);
- xindex id1 = {2, 0};
+ xindex id1 = {1, 0};
xindex id2 = {2, 2, 2, 0, 3};
- EXPECT_EQ(vec(2, 0, 0), vec[id1]);
+ EXPECT_EQ(vec(0, 1, 0), vec[id1]);
EXPECT_EQ(vec(2, 0, 3), vec[id2]);
}
}
diff --git a/test/test_xarray.cpp b/test/test_xarray.cpp
index 3f9a38b..408d9ba 100644
--- a/test/test_xarray.cpp
+++ b/test/test_xarray.cpp
@@ -157,6 +157,11 @@ namespace xt
test_access(a);
}
+ TEST(xarray, element)
+ {
+ xarray_dynamic a;
+ test_element(a);
+ }
TEST(xarray, indexed_access)
{
diff --git a/test/test_xbuilder.cpp b/test/test_xbuilder.cpp
index eef14fd..628eb2a 100644
--- a/test/test_xbuilder.cpp
+++ b/test/test_xbuilder.cpp
@@ -11,7 +11,7 @@
#include "xtensor/xarray.hpp"
#include "xtensor/xio.hpp"
-#include <iostream>
+#include <sstream>
namespace xt
{
@@ -240,6 +240,15 @@ namespace xt
ASSERT_TRUE(all(equal(std::get<1>(mesh), expect1)));
}
+ TEST(xbuilder, meshgrid_arange)
+ {
+ auto xrange = xt::arange(0, 2);
+ auto yrange = xt::arange(0, 2);
+ auto grid = xt::meshgrid(xrange, yrange);
+ std::ostringstream stream;
+ stream << std::get<0>(grid) << std::endl;
+ }
+
TEST(xbuilder, triu)
{
xarray<double> e = {{1, 2, 3}, {4, 5, 6}, {7, 8, 9}};
diff --git a/test/test_xdynamicview.cpp b/test/test_xdynamicview.cpp
index a0a8210..8c994c2 100644
--- a/test/test_xdynamicview.cpp
+++ b/test/test_xdynamicview.cpp
@@ -21,7 +21,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<double> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
auto view1 = dynamic_view(a, slice_vector(a, 1, range(1, 4)));
@@ -64,7 +64,7 @@ namespace xt
TEST(xdynview, three_dimensional)
{
view_shape_type shape = {3, 4, 2};
- std::vector<double> data{
+ std::vector<double> data = {
1, 2,
3, 4,
5, 6,
@@ -141,7 +141,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<int> a(shape);
- std::vector<int> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<int> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
view_shape_type shape2 = {3};
@@ -165,7 +165,7 @@ namespace xt
TEST(xdynview, xdynview_on_xtensor)
{
xtensor<int, 2> a({3, 4});
- std::vector<int> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<int> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.xbegin<layout_type::row_major>());
auto view1 = dynamic_view(a, slice_vector(a, 1, range(1, 4)));
@@ -202,7 +202,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<double> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
auto view1 = dynamic_view(a, slice_vector(a, all(), newaxis(), all()));
@@ -252,7 +252,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<double> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
auto view1 = dynamic_view(a, slice_vector(a, all(), all(), newaxis()));
@@ -320,7 +320,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<double> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
xarray<double> b(view_shape_type(1, 4));
diff --git a/test/test_xtensor.cpp b/test/test_xtensor.cpp
index fddc0ce..9d6aa0e 100644
--- a/test/test_xtensor.cpp
+++ b/test/test_xtensor.cpp
@@ -172,6 +172,12 @@ namespace xt
test_access<xtensor_dynamic, container_type>(a);
}
+ TEST(xtensor, element)
+ {
+ xtensor_dynamic a;
+ test_element<xtensor_dynamic, container_type>(a);
+ }
+
TEST(xtensor, indexed_access)
{
xtensor_dynamic a;
diff --git a/test/test_xview.cpp b/test/test_xview.cpp
index cdbca18..09bf801 100644
--- a/test/test_xview.cpp
+++ b/test/test_xview.cpp
@@ -44,7 +44,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<double> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
auto view1 = view(a, 1, range(1, 4));
@@ -88,7 +88,7 @@ namespace xt
TEST(xview, three_dimensional)
{
view_shape_type shape = {3, 4, 2};
- std::vector<double> data{
+ std::vector<double> data = {
1, 2,
3, 4,
5, 6,
@@ -170,8 +170,8 @@ namespace xt
{
view_shape_type shape = {2, 3, 4};
xarray<double, layout_type::row_major> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
- 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
+ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
auto view1 = view(a, range(0, 2), 1, range(1, 4));
@@ -211,7 +211,7 @@ namespace xt
{
view_shape_type shape = {2, 3, 4};
xarray<double, layout_type::row_major> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
@@ -252,7 +252,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<int> a(shape);
- std::vector<int> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<int> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
view_shape_type shape2 = {4};
@@ -276,7 +276,7 @@ namespace xt
TEST(xview, xview_on_xtensor)
{
xtensor<int, 2> a({3, 4});
- std::vector<int> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<int> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
auto view1 = view(a, 1, range(1, 4));
@@ -338,7 +338,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<double> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
auto view1 = view(a, all(), newaxis(), all());
@@ -382,13 +382,16 @@ namespace xt
std::array<std::size_t, 3> idx2 = {1, 2, 0};
EXPECT_EQ(a(1, 2), view2.element(idx2.begin(), idx2.end()));
+
+ std::array<std::size_t, 3> idx3 = {1, 2};
+ EXPECT_EQ(a(1, 2), view3.element(idx2.begin(), idx2.end()));
}
TEST(xview, newaxis_iterating)
{
view_shape_type shape = {3, 4};
xarray<double> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
auto view1 = view(a, all(), all(), newaxis());
@@ -456,7 +459,7 @@ namespace xt
{
view_shape_type shape = {3, 4};
xarray<double> a(shape);
- std::vector<double> data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+ std::vector<double> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(data.cbegin(), data.cend(), a.template xbegin<layout_type::row_major>());
xarray<double> b(view_shape_type(1, 4));
--
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