| /* | |
| Copyright (c) 2013 Microsoft Corporation. All rights reserved. | |
| Released under Apache 2.0 license as described in the file LICENSE. | |
| Author: Leonardo de Moura | |
| */ | |
| #include <algorithm> | |
| #include <utility> | |
| #include <vector> | |
| #include "kernel/abstract.h" | |
| #include "kernel/replace_fn.h" | |
| namespace lean { | |
| expr abstract(expr const & e, unsigned n, expr const * subst) { | |
| lean_assert(std::all_of(subst, subst+n, [](expr const & e) { return !has_loose_bvars(e) && is_fvar(e); })); | |
| if (!has_fvar(e)) | |
| return e; | |
| return replace(e, [=](expr const & m, unsigned offset) -> optional<expr> { | |
| if (!has_fvar(m)) | |
| return some_expr(m); // expression m does not contain free variables | |
| if (is_fvar(m)) { | |
| unsigned i = n; | |
| while (i > 0) { | |
| --i; | |
| if (fvar_name(subst[i]) == fvar_name(m)) | |
| return some_expr(mk_bvar(offset + n - i - 1)); | |
| } | |
| return none_expr(); | |
| } | |
| return none_expr(); | |
| }); | |
| } | |
| expr abstract(expr const & e, name const & n) { | |
| expr fvar = mk_fvar(n); | |
| return abstract(e, 1, &fvar); | |
| } | |
| static object * lean_expr_abstract_core(object * e0, size_t n, object * subst) { | |
| lean_assert(n <= lean_array_size(subst)); | |
| expr const & e = reinterpret_cast<expr const &>(e0); | |
| if (!has_fvar(e) && !has_mvar(e)) { | |
| lean_inc(e0); | |
| return e0; | |
| } | |
| expr r = replace(e, [=](expr const & m, unsigned offset) -> optional<expr> { | |
| if (!has_fvar(m) && !has_mvar(m)) | |
| return some_expr(m); // expression m does not contain free/meta variables | |
| bool fv = is_fvar(m); | |
| bool mv = is_mvar(m); | |
| if (fv || mv) { | |
| size_t i = n; | |
| while (i > 0) { | |
| --i; | |
| object * v = lean_array_get_core(subst, i); | |
| if (fv && is_fvar_core(v) && fvar_name_core(v) == fvar_name(m)) | |
| return some_expr(mk_bvar(offset + n - i - 1)); | |
| if (mv && is_mvar_core(v) && mvar_name_core(v) == mvar_name(m)) | |
| return some_expr(mk_bvar(offset + n - i - 1)); | |
| } | |
| return none_expr(); | |
| } | |
| return none_expr(); | |
| }); | |
| return r.steal(); | |
| } | |
| extern "C" LEAN_EXPORT object * lean_expr_abstract_range(object * e, object * n, object * subst) { | |
| if (!lean_is_scalar(n)) | |
| return lean_expr_abstract_core(e, lean_array_size(subst), subst); | |
| else | |
| return lean_expr_abstract_core(e, std::min(lean_unbox(n), lean_array_size(subst)), subst); | |
| } | |
| extern "C" LEAN_EXPORT object * lean_expr_abstract(object * e, object * subst) { | |
| return lean_expr_abstract_core(e, lean_array_size(subst), subst); | |
| } | |
| } |