.. highlight:: c .. _util_tuple: Tuple tools ============================= Various standard functional operations on tuple (which should be in the STL but are not ...). .. .. note:: Simple measures have shown that these routines are **as fast as native code** (tested on gcc, clang, icc), due to inlining. They can therefore be used in critical parts of codes. apply ----------------------------------------------- *Purpose* : `apply a function on a tuple of arguments` Given a function object `f`, and its arguments stored in a tuple `t`, and we want to apply `f` on `t`. *Python equivalent*: .. code-block:: python def apply(f,t) : return f(*t) *Synopsis* :: template auto apply (Function && f, Tuple const & t); *Example* : .. triqs_example:: ./tupletools_0.cpp for_each ------------------------------------------------------------------------- *Purpose* : `apply a function for each element of a tuple (in order)` Given a function object `f`, we want to apply it to all elements of a tuple `t`. *Python equivalent*: .. code-block:: python def for_each(t,f) : for x in t: f(x) *Synopsis* :: template void for_each(Tuple const & t, Function && f); *Example* : .. triqs_example:: ./tupletools_1.cpp for_each_zip ------------------------------------------------------------------------- *Purpose* : `apply a function for each element of tuple zip (in order)` *Python equivalent*: .. code-block:: python def for_each(f,t0,t1) : for x0,x1 in itertools.zip(t0,t1): f(x0,x1) *Synopsis* :: template void for_each_zip(F &&f, T0 &&t0, T1 &&t1); template void for_each_zip(F &&f, T0 &&t0, T1 &&t1, T2 &&t2); *Example* : .. triqs_example:: ./tupletools_2.cpp map ------------------------------------------------------------------------- *Purpose* : `map a function on a tuple to create a new tuple` *Python equivalent*: .. code-block:: python def map(f,t) : return (f(x) for x in t) *Synopsis* :: template auto map(F &&f, T &&t); *Returns*: The result is a tuple, of the same length as T, made of the evaluation of f on the elements on T *Example* : .. triqs_example:: ./tupletools_3.cpp fold ------------------------------------------------------------------------- *Purpose* : `reduction of a tuple with a function` *Python equivalent*: .. code-block:: python def fold(f,t,r) : return reduce(f,t,r) *Synopsis* :: (1) template decltype(auto) fold(F &&f, T &&t, R &&r); (2) template decltype(auto) fold(F &&f, T0 &&t0, T1 &&t1, R &&r); *Returns*:: f(get(t), f(get(t), ..., f(get<0>(t),r))) (1) f(get(t0), get(t1), f(get(t0), get(t1), ..., f(get<0>(t0), get<0>(t1), r))) (2) *Parameters* : * f : a callable object of signature :: f(x, r) -> r' (1) f(x, y, r) -> r' (2) The return type of f must be a valid last parameter for f (at least for one overload). * t : a tuple * t0,t1 : two tuples of the same size * r : anything that can be a last parameter for f. * Precondition: everything so that the resulting expression is valid (in particular, f must be called on each tuple elements, with its return type as last parameter. .. warning:: The type of the result is not necessarly R : it is automatically deduced from this expression. Cf example. *Example* : .. triqs_example:: ./tupletools_4.cpp reverse ------------------------------------------------------------------------- *Purpose* : `lazy reverse of a tuple` *Python equivalent*: None. *Synopsis* :: namespace std { template TU reverse(std::tuple && x); template TU reverse(std::tuple & x); template TU reverse(std::tuple const& x); } .. warning:: reverse is declared in std:: to benefit from ADL (a bit dangerous, but ok here). *Returns*: TU is a tuple like type, that : * Contains a ref of the original tuple, or the tuple if a && was passed. * Hence, no copy is ever made. * Accepts std::get and std::tuple_size, like tuple. reverse(t) can therefore be used in place of a regular tuple in the algorithms of this section. *Example* : .. triqs_example:: ./tupletools_reverse.cpp called_on_tuple ------------------------------------------------------------------------- *Purpose* : `Adapting a function to call with a tuple argument and flatten it` *Python equivalent*: .. code-block:: python def called_on_tuple(f) : return lambda x : f(*x) *Synopsis* :: template F2 called_on_tuple(F &&f); *Returns*: F2 is a function object which adapts the function f for calling on a tuple. The following call are therefore equivalent:: called_on_tuple(f)( std::tie(x0,x1,x2)) f(x0,x1,x2) *Example* : .. triqs_example:: ./tupletools_called.cpp *Implementation* : The C++ is simple in fact :: template struct _called_on_tuple { F _f; template decltype(auto) operator()(Tu &&tu) { return apply(_f, std::forward(tu)); } }; template _called_on_tuple called_on_tuple(F &&f) { return {std::forward(f)}; }