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1 // Copyright Jim Bosch 2010-2012.
2 // Copyright Stefan Seefeld 2016.
3 // Distributed under the Boost Software License, Version 1.0.
4 // (See accompanying file LICENSE_1_0.txt or copy at
5 // http://www.boost.org/LICENSE_1_0.txt)
6
7 #ifndef boost_python_numpy_dtype_hpp_
8 #define boost_python_numpy_dtype_hpp_
9
10 /**
11 * @file boost/python/numpy/dtype.hpp
12 * @brief Object manager for Python's numpy.dtype class.
13 */
14
15 #include <boost/python.hpp>
16 #include <boost/python/numpy/numpy_object_mgr_traits.hpp>
17
18 #include <boost/mpl/for_each.hpp>
19 #include <boost/type_traits/add_pointer.hpp>
20
21 namespace boost { namespace python { namespace numpy {
22
23 /**
24 * @brief A boost.python "object manager" (subclass of object) for numpy.dtype.
25 *
26 * @todo This could have a lot more interesting accessors.
27 */
28 class dtype : public object {
29 static python::detail::new_reference convert(object::object_cref arg, bool align);
30 public:
31
32 /// @brief Convert an arbitrary Python object to a data-type descriptor object.
33 template <typename T>
34 explicit dtype(T arg, bool align=false) : object(convert(arg, align)) {}
35
36 /**
37 * @brief Get the built-in numpy dtype associated with the given scalar template type.
38 *
39 * This is perhaps the most useful part of the numpy API: it returns the dtype object
40 * corresponding to a built-in C++ type. This should work for any integer or floating point
41 * type supported by numpy, and will also work for std::complex if
42 * sizeof(std::complex<T>) == 2*sizeof(T).
43 *
44 * It can also be useful for users to add explicit specializations for POD structs
45 * that return field-based dtypes.
46 */
47 template <typename T> static dtype get_builtin();
48
49 /// @brief Return the size of the data type in bytes.
50 int get_itemsize() const;
51
52 /**
53 * @brief Compare two dtypes for equivalence.
54 *
55 * This is more permissive than equality tests. For instance, if long and int are the same
56 * size, the dtypes corresponding to each will be equivalent, but not equal.
57 */
58 friend bool equivalent(dtype const & a, dtype const & b);
59
60 /**
61 * @brief Register from-Python converters for NumPy's built-in array scalar types.
62 *
63 * This is usually called automatically by initialize(), and shouldn't be called twice
64 * (doing so just adds unused converters to the Boost.Python registry).
65 */
66 static void register_scalar_converters();
67
68 BOOST_PYTHON_FORWARD_OBJECT_CONSTRUCTORS(dtype, object);
69
70 };
71
72 bool equivalent(dtype const & a, dtype const & b);
73
74 namespace detail
75 {
76
77 template <int bits, bool isUnsigned> dtype get_int_dtype();
78
79 template <int bits> dtype get_float_dtype();
80
81 template <int bits> dtype get_complex_dtype();
82
83 template <typename T, bool isInt=boost::is_integral<T>::value>
84 struct builtin_dtype;
85
86 template <typename T>
87 struct builtin_dtype<T,true> {
88 static dtype get() { return get_int_dtype< 8*sizeof(T), boost::is_unsigned<T>::value >(); }
89 };
90
91 template <>
92 struct builtin_dtype<bool,true> {
93 static dtype get();
94 };
95
96 template <typename T>
97 struct builtin_dtype<T,false> {
98 static dtype get() { return get_float_dtype< 8*sizeof(T) >(); }
99 };
100
101 template <typename T>
102 struct builtin_dtype< std::complex<T>, false > {
103 static dtype get() { return get_complex_dtype< 16*sizeof(T) >(); }
104 };
105
106 } // namespace detail
107
108 template <typename T>
109 inline dtype dtype::get_builtin() { return detail::builtin_dtype<T>::get(); }
110
111 } // namespace boost::python::numpy
112
113 namespace converter {
114 NUMPY_OBJECT_MANAGER_TRAITS(numpy::dtype);
115 }}} // namespace boost::python::converter
116
117 #endif