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1 use clippy_utils::diagnostics::{span_lint, span_lint_and_then};
2 use clippy_utils::macros::{find_assert_eq_args, first_node_macro_backtrace};
3 use clippy_utils::{ast_utils::is_useless_with_eq_exprs, eq_expr_value, is_in_test_function};
4 use rustc_hir::{BinOpKind, Expr};
5 use rustc_lint::LateContext;
6 
7 use super::EQ_OP;
8 
check_assert<'tcx>(cx: &LateContext<'tcx>, e: &'tcx Expr<'_>)9 pub(crate) fn check_assert<'tcx>(cx: &LateContext<'tcx>, e: &'tcx Expr<'_>) {
10     if let Some((macro_call, macro_name))
11         = first_node_macro_backtrace(cx, e).find_map(|macro_call| {
12             let name = cx.tcx.item_name(macro_call.def_id);
13             matches!(name.as_str(), "assert_eq" | "assert_ne" | "debug_assert_eq" | "debug_assert_ne")
14                 .then(|| (macro_call, name))
15         })
16         && let Some((lhs, rhs, _)) = find_assert_eq_args(cx, e, macro_call.expn)
17         && eq_expr_value(cx, lhs, rhs)
18         && macro_call.is_local()
19         && !is_in_test_function(cx.tcx, e.hir_id)
20     {
21         span_lint(
22             cx,
23             EQ_OP,
24             lhs.span.to(rhs.span),
25             &format!("identical args used in this `{macro_name}!` macro call"),
26         );
27     }
28 }
29 
check<'tcx>( cx: &LateContext<'tcx>, e: &'tcx Expr<'_>, op: BinOpKind, left: &'tcx Expr<'_>, right: &'tcx Expr<'_>, )30 pub(crate) fn check<'tcx>(
31     cx: &LateContext<'tcx>,
32     e: &'tcx Expr<'_>,
33     op: BinOpKind,
34     left: &'tcx Expr<'_>,
35     right: &'tcx Expr<'_>,
36 ) {
37     if is_useless_with_eq_exprs(op.into()) && eq_expr_value(cx, left, right) && !is_in_test_function(cx.tcx, e.hir_id) {
38         span_lint_and_then(
39             cx,
40             EQ_OP,
41             e.span,
42             &format!("equal expressions as operands to `{}`", op.as_str()),
43             |diag| {
44                 if let BinOpKind::Ne = op && cx.typeck_results().expr_ty(left).is_floating_point() {
45                     diag.note("if you intended to check if the operand is NaN, use `.is_nan()` instead");
46                 }
47             },
48         );
49     }
50 }
51