coverage: Remove the old code for simplifying counters after MIR opts
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5 changed files with 17 additions and 183 deletions
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@ -135,7 +135,7 @@ pub(super) struct CoverageCounters {
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/// List of places where a counter-increment statement should be injected
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/// into MIR, each with its corresponding counter ID.
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pub(crate) phys_counter_for_node: FxIndexMap<BasicCoverageBlock, CounterId>,
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next_counter_id: CounterId,
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pub(crate) next_counter_id: CounterId,
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/// Coverage counters/expressions that are associated with individual BCBs.
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pub(crate) node_counters: IndexVec<BasicCoverageBlock, Option<CovTerm>>,
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@ -1,11 +1,7 @@
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use rustc_data_structures::captures::Captures;
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use rustc_index::IndexSlice;
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use rustc_index::bit_set::DenseBitSet;
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use rustc_middle::middle::codegen_fn_attrs::CodegenFnAttrFlags;
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use rustc_middle::mir::coverage::{
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BasicCoverageBlock, CounterId, CovTerm, CoverageIdsInfo, CoverageKind, Expression,
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ExpressionId, MappingKind, Op,
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};
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use rustc_middle::mir::coverage::{BasicCoverageBlock, CoverageIdsInfo, CoverageKind, MappingKind};
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use rustc_middle::mir::{Body, Statement, StatementKind};
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use rustc_middle::ty::{self, TyCtxt};
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use rustc_middle::util::Providers;
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@ -134,44 +130,12 @@ fn coverage_ids_info<'tcx>(
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let node_counters = make_node_counters(&fn_cov_info.node_flow_data, &fn_cov_info.priority_list);
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let coverage_counters = transcribe_counters(&node_counters, &bcb_needs_counter, &bcbs_seen);
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let mut counters_seen = DenseBitSet::new_empty(coverage_counters.node_counters.len());
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let mut expressions_seen = DenseBitSet::new_filled(coverage_counters.expressions.len());
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// For each expression ID that is directly used by one or more mappings,
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// mark it as not-yet-seen. This indicates that we expect to see a
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// corresponding `VirtualCounter` statement during MIR traversal.
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for mapping in fn_cov_info.mappings.iter() {
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// Currently we only worry about ordinary code mappings.
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// For branch and MC/DC mappings, expressions might not correspond
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// to any particular point in the control-flow graph.
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if let MappingKind::Code { bcb } = mapping.kind
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&& let Some(CovTerm::Expression(id)) = coverage_counters.node_counters[bcb]
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{
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expressions_seen.remove(id);
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}
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}
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for bcb in bcbs_seen.iter() {
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if let Some(&id) = coverage_counters.phys_counter_for_node.get(&bcb) {
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counters_seen.insert(id);
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}
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if let Some(CovTerm::Expression(id)) = coverage_counters.node_counters[bcb] {
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expressions_seen.insert(id);
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}
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}
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let zero_expressions = identify_zero_expressions(
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&coverage_counters.expressions,
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&counters_seen,
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&expressions_seen,
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);
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let CoverageCounters { phys_counter_for_node, node_counters, expressions, .. } =
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coverage_counters;
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let CoverageCounters {
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phys_counter_for_node, next_counter_id, node_counters, expressions, ..
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} = coverage_counters;
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Some(CoverageIdsInfo {
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counters_seen,
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zero_expressions,
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num_counters: next_counter_id.as_u32(),
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phys_counter_for_node,
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term_for_bcb: node_counters,
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expressions,
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@ -193,94 +157,3 @@ fn is_inlined(body: &Body<'_>, statement: &Statement<'_>) -> bool {
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let scope_data = &body.source_scopes[statement.source_info.scope];
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scope_data.inlined.is_some() || scope_data.inlined_parent_scope.is_some()
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}
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/// Identify expressions that will always have a value of zero, and note their
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/// IDs in a `DenseBitSet`. Mappings that refer to a zero expression can instead
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/// become mappings to a constant zero value.
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///
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/// This function mainly exists to preserve the simplifications that were
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/// already being performed by the Rust-side expression renumbering, so that
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/// the resulting coverage mappings don't get worse.
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fn identify_zero_expressions(
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expressions: &IndexSlice<ExpressionId, Expression>,
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counters_seen: &DenseBitSet<CounterId>,
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expressions_seen: &DenseBitSet<ExpressionId>,
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) -> DenseBitSet<ExpressionId> {
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// The set of expressions that either were optimized out entirely, or
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// have zero as both of their operands, and will therefore always have
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// a value of zero. Other expressions that refer to these as operands
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// can have those operands replaced with `CovTerm::Zero`.
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let mut zero_expressions = DenseBitSet::new_empty(expressions.len());
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// Simplify a copy of each expression based on lower-numbered expressions,
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// and then update the set of always-zero expressions if necessary.
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// (By construction, expressions can only refer to other expressions
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// that have lower IDs, so one pass is sufficient.)
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for (id, expression) in expressions.iter_enumerated() {
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if !expressions_seen.contains(id) {
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// If an expression was not seen, it must have been optimized away,
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// so any operand that refers to it can be replaced with zero.
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zero_expressions.insert(id);
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continue;
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}
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// We don't need to simplify the actual expression data in the
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// expressions list; we can just simplify a temporary copy and then
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// use that to update the set of always-zero expressions.
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let Expression { mut lhs, op, mut rhs } = *expression;
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// If an expression has an operand that is also an expression, the
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// operand's ID must be strictly lower. This is what lets us find
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// all zero expressions in one pass.
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let assert_operand_expression_is_lower = |operand_id: ExpressionId| {
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assert!(
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operand_id < id,
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"Operand {operand_id:?} should be less than {id:?} in {expression:?}",
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)
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};
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// If an operand refers to a counter or expression that is always
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// zero, then that operand can be replaced with `CovTerm::Zero`.
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let maybe_set_operand_to_zero = |operand: &mut CovTerm| {
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if let CovTerm::Expression(id) = *operand {
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assert_operand_expression_is_lower(id);
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}
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if is_zero_term(&counters_seen, &zero_expressions, *operand) {
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*operand = CovTerm::Zero;
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}
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};
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maybe_set_operand_to_zero(&mut lhs);
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maybe_set_operand_to_zero(&mut rhs);
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// Coverage counter values cannot be negative, so if an expression
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// involves subtraction from zero, assume that its RHS must also be zero.
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// (Do this after simplifications that could set the LHS to zero.)
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if lhs == CovTerm::Zero && op == Op::Subtract {
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rhs = CovTerm::Zero;
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}
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// After the above simplifications, if both operands are zero, then
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// we know that this expression is always zero too.
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if lhs == CovTerm::Zero && rhs == CovTerm::Zero {
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zero_expressions.insert(id);
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}
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}
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zero_expressions
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}
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/// Returns `true` if the given term is known to have a value of zero, taking
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/// into account knowledge of which counters are unused and which expressions
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/// are always zero.
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fn is_zero_term(
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counters_seen: &DenseBitSet<CounterId>,
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zero_expressions: &DenseBitSet<ExpressionId>,
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term: CovTerm,
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) -> bool {
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match term {
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CovTerm::Zero => true,
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CovTerm::Counter(id) => !counters_seen.contains(id),
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CovTerm::Expression(id) => zero_expressions.contains(id),
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}
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}
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