+/* Dump information about the branch prediction to the output file. */
+
+static void
+dump_prediction (FILE *file, enum br_predictor predictor, int probability,
+ basic_block bb, int used)
+{
+ edge e;
+ edge_iterator ei;
+
+ if (!file)
+ return;
+
+ FOR_EACH_EDGE (e, ei, bb->succs)
+ if (! (e->flags & EDGE_FALLTHRU))
+ break;
+
+ fprintf (file, " %s heuristics%s: %.1f%%",
+ predictor_info[predictor].name,
+ used ? "" : " (ignored)", probability * 100.0 / REG_BR_PROB_BASE);
+
+ if (bb->count)
+ {
+ fprintf (file, " exec ");
+ fprintf (file, HOST_WIDEST_INT_PRINT_DEC, bb->count);
+ if (e)
+ {
+ fprintf (file, " hit ");
+ fprintf (file, HOST_WIDEST_INT_PRINT_DEC, e->count);
+ fprintf (file, " (%.1f%%)", e->count * 100.0 / bb->count);
+ }
+ }
+
+ fprintf (file, "\n");
+}
+
+/* We can not predict the probabilities of outgoing edges of bb. Set them
+ evenly and hope for the best. */
+static void
+set_even_probabilities (basic_block bb)
+{
+ int nedges = 0;
+ edge e;
+ edge_iterator ei;
+
+ FOR_EACH_EDGE (e, ei, bb->succs)
+ if (!(e->flags & (EDGE_EH | EDGE_FAKE)))
+ nedges ++;
+ FOR_EACH_EDGE (e, ei, bb->succs)
+ if (!(e->flags & (EDGE_EH | EDGE_FAKE)))
+ e->probability = (REG_BR_PROB_BASE + nedges / 2) / nedges;
+ else
+ e->probability = 0;
+}
+
+/* Combine all REG_BR_PRED notes into single probability and attach REG_BR_PROB
+ note if not already present. Remove now useless REG_BR_PRED notes. */
+
+static void
+combine_predictions_for_insn (rtx insn, basic_block bb)
+{
+ rtx prob_note;
+ rtx *pnote;
+ rtx note;
+ int best_probability = PROB_EVEN;
+ int best_predictor = END_PREDICTORS;
+ int combined_probability = REG_BR_PROB_BASE / 2;
+ int d;
+ bool first_match = false;
+ bool found = false;
+
+ if (!can_predict_insn_p (insn))
+ {
+ set_even_probabilities (bb);
+ return;
+ }
+
+ prob_note = find_reg_note (insn, REG_BR_PROB, 0);
+ pnote = ®_NOTES (insn);
+ if (dump_file)
+ fprintf (dump_file, "Predictions for insn %i bb %i\n", INSN_UID (insn),
+ bb->index);
+
+ /* We implement "first match" heuristics and use probability guessed
+ by predictor with smallest index. */
+ for (note = REG_NOTES (insn); note; note = XEXP (note, 1))
+ if (REG_NOTE_KIND (note) == REG_BR_PRED)
+ {
+ int predictor = INTVAL (XEXP (XEXP (note, 0), 0));
+ int probability = INTVAL (XEXP (XEXP (note, 0), 1));
+
+ found = true;
+ if (best_predictor > predictor)
+ best_probability = probability, best_predictor = predictor;
+
+ d = (combined_probability * probability
+ + (REG_BR_PROB_BASE - combined_probability)
+ * (REG_BR_PROB_BASE - probability));
+
+ /* Use FP math to avoid overflows of 32bit integers. */
+ if (d == 0)
+ /* If one probability is 0% and one 100%, avoid division by zero. */
+ combined_probability = REG_BR_PROB_BASE / 2;
+ else
+ combined_probability = (((double) combined_probability) * probability
+ * REG_BR_PROB_BASE / d + 0.5);
+ }
+
+ /* Decide which heuristic to use. In case we didn't match anything,
+ use no_prediction heuristic, in case we did match, use either
+ first match or Dempster-Shaffer theory depending on the flags. */
+
+ if (predictor_info [best_predictor].flags & PRED_FLAG_FIRST_MATCH)
+ first_match = true;
+
+ if (!found)
+ dump_prediction (dump_file, PRED_NO_PREDICTION,
+ combined_probability, bb, true);
+ else
+ {
+ dump_prediction (dump_file, PRED_DS_THEORY, combined_probability,
+ bb, !first_match);
+ dump_prediction (dump_file, PRED_FIRST_MATCH, best_probability,
+ bb, first_match);
+ }
+
+ if (first_match)
+ combined_probability = best_probability;
+ dump_prediction (dump_file, PRED_COMBINED, combined_probability, bb, true);
+
+ while (*pnote)
+ {
+ if (REG_NOTE_KIND (*pnote) == REG_BR_PRED)
+ {
+ int predictor = INTVAL (XEXP (XEXP (*pnote, 0), 0));
+ int probability = INTVAL (XEXP (XEXP (*pnote, 0), 1));
+
+ dump_prediction (dump_file, predictor, probability, bb,
+ !first_match || best_predictor == predictor);
+ *pnote = XEXP (*pnote, 1);
+ }
+ else
+ pnote = &XEXP (*pnote, 1);
+ }
+
+ if (!prob_note)
+ {
+ add_reg_note (insn, REG_BR_PROB, GEN_INT (combined_probability));
+
+ /* Save the prediction into CFG in case we are seeing non-degenerated
+ conditional jump. */
+ if (!single_succ_p (bb))
+ {
+ BRANCH_EDGE (bb)->probability = combined_probability;
+ FALLTHRU_EDGE (bb)->probability
+ = REG_BR_PROB_BASE - combined_probability;
+ }
+ }
+ else if (!single_succ_p (bb))
+ {
+ int prob = INTVAL (XEXP (prob_note, 0));
+
+ BRANCH_EDGE (bb)->probability = prob;
+ FALLTHRU_EDGE (bb)->probability = REG_BR_PROB_BASE - prob;
+ }
+ else
+ single_succ_edge (bb)->probability = REG_BR_PROB_BASE;
+}
+
+/* Combine predictions into single probability and store them into CFG.
+ Remove now useless prediction entries. */
+
+static void
+combine_predictions_for_bb (basic_block bb)
+{
+ int best_probability = PROB_EVEN;
+ int best_predictor = END_PREDICTORS;
+ int combined_probability = REG_BR_PROB_BASE / 2;
+ int d;
+ bool first_match = false;
+ bool found = false;
+ struct edge_prediction *pred;
+ int nedges = 0;
+ edge e, first = NULL, second = NULL;
+ edge_iterator ei;
+ void **preds;
+
+ FOR_EACH_EDGE (e, ei, bb->succs)
+ if (!(e->flags & (EDGE_EH | EDGE_FAKE)))
+ {
+ nedges ++;
+ if (first && !second)
+ second = e;
+ if (!first)
+ first = e;
+ }
+
+ /* When there is no successor or only one choice, prediction is easy.
+
+ We are lazy for now and predict only basic blocks with two outgoing
+ edges. It is possible to predict generic case too, but we have to
+ ignore first match heuristics and do more involved combining. Implement
+ this later. */
+ if (nedges != 2)
+ {
+ if (!bb->count)
+ set_even_probabilities (bb);
+ clear_bb_predictions (bb);
+ if (dump_file)
+ fprintf (dump_file, "%i edges in bb %i predicted to even probabilities\n",
+ nedges, bb->index);
+ return;
+ }
+
+ if (dump_file)
+ fprintf (dump_file, "Predictions for bb %i\n", bb->index);
+
+ preds = pointer_map_contains (bb_predictions, bb);
+ if (preds)
+ {
+ /* We implement "first match" heuristics and use probability guessed
+ by predictor with smallest index. */
+ for (pred = (struct edge_prediction *) *preds; pred; pred = pred->ep_next)
+ {
+ int predictor = pred->ep_predictor;
+ int probability = pred->ep_probability;
+
+ if (pred->ep_edge != first)
+ probability = REG_BR_PROB_BASE - probability;
+
+ found = true;
+ /* First match heuristics would be widly confused if we predicted
+ both directions. */
+ if (best_predictor > predictor)
+ {
+ struct edge_prediction *pred2;
+ int prob = probability;
+
+ for (pred2 = (struct edge_prediction *) *preds; pred2; pred2 = pred2->ep_next)
+ if (pred2 != pred && pred2->ep_predictor == pred->ep_predictor)
+ {
+ int probability2 = pred->ep_probability;
+
+ if (pred2->ep_edge != first)
+ probability2 = REG_BR_PROB_BASE - probability2;
+
+ if ((probability < REG_BR_PROB_BASE / 2) !=
+ (probability2 < REG_BR_PROB_BASE / 2))
+ break;
+
+ /* If the same predictor later gave better result, go for it! */
+ if ((probability >= REG_BR_PROB_BASE / 2 && (probability2 > probability))
+ || (probability <= REG_BR_PROB_BASE / 2 && (probability2 < probability)))
+ prob = probability2;
+ }
+ if (!pred2)
+ best_probability = prob, best_predictor = predictor;
+ }
+
+ d = (combined_probability * probability
+ + (REG_BR_PROB_BASE - combined_probability)
+ * (REG_BR_PROB_BASE - probability));
+
+ /* Use FP math to avoid overflows of 32bit integers. */
+ if (d == 0)
+ /* If one probability is 0% and one 100%, avoid division by zero. */
+ combined_probability = REG_BR_PROB_BASE / 2;
+ else
+ combined_probability = (((double) combined_probability)
+ * probability
+ * REG_BR_PROB_BASE / d + 0.5);
+ }
+ }
+
+ /* Decide which heuristic to use. In case we didn't match anything,
+ use no_prediction heuristic, in case we did match, use either
+ first match or Dempster-Shaffer theory depending on the flags. */
+
+ if (predictor_info [best_predictor].flags & PRED_FLAG_FIRST_MATCH)
+ first_match = true;
+
+ if (!found)
+ dump_prediction (dump_file, PRED_NO_PREDICTION, combined_probability, bb, true);
+ else
+ {
+ dump_prediction (dump_file, PRED_DS_THEORY, combined_probability, bb,
+ !first_match);
+ dump_prediction (dump_file, PRED_FIRST_MATCH, best_probability, bb,
+ first_match);
+ }
+
+ if (first_match)
+ combined_probability = best_probability;
+ dump_prediction (dump_file, PRED_COMBINED, combined_probability, bb, true);
+
+ if (preds)
+ {
+ for (pred = (struct edge_prediction *) *preds; pred; pred = pred->ep_next)
+ {
+ int predictor = pred->ep_predictor;
+ int probability = pred->ep_probability;
+
+ if (pred->ep_edge != EDGE_SUCC (bb, 0))
+ probability = REG_BR_PROB_BASE - probability;
+ dump_prediction (dump_file, predictor, probability, bb,
+ !first_match || best_predictor == predictor);
+ }
+ }
+ clear_bb_predictions (bb);
+
+ if (!bb->count)
+ {
+ first->probability = combined_probability;
+ second->probability = REG_BR_PROB_BASE - combined_probability;
+ }
+}
+
+/* Predict edge probabilities by exploiting loop structure. */
+
+static void
+predict_loops (void)
+{
+ loop_iterator li;
+ struct loop *loop;
+
+ scev_initialize ();
+
+ /* Try to predict out blocks in a loop that are not part of a
+ natural loop. */
+ FOR_EACH_LOOP (li, loop, 0)
+ {
+ basic_block bb, *bbs;
+ unsigned j, n_exits;
+ VEC (edge, heap) *exits;
+ struct tree_niter_desc niter_desc;
+ edge ex;
+
+ exits = get_loop_exit_edges (loop);
+ n_exits = VEC_length (edge, exits);
+
+ for (j = 0; VEC_iterate (edge, exits, j, ex); j++)
+ {
+ tree niter = NULL;
+ HOST_WIDE_INT nitercst;
+ int max = PARAM_VALUE (PARAM_MAX_PREDICTED_ITERATIONS);
+ int probability;
+ enum br_predictor predictor;
+
+ if (number_of_iterations_exit (loop, ex, &niter_desc, false))
+ niter = niter_desc.niter;
+ if (!niter || TREE_CODE (niter_desc.niter) != INTEGER_CST)
+ niter = loop_niter_by_eval (loop, ex);
+
+ if (TREE_CODE (niter) == INTEGER_CST)
+ {
+ if (host_integerp (niter, 1)
+ && compare_tree_int (niter, max-1) == -1)
+ nitercst = tree_low_cst (niter, 1) + 1;
+ else
+ nitercst = max;
+ predictor = PRED_LOOP_ITERATIONS;
+ }
+ /* If we have just one exit and we can derive some information about
+ the number of iterations of the loop from the statements inside
+ the loop, use it to predict this exit. */
+ else if (n_exits == 1)
+ {
+ nitercst = estimated_loop_iterations_int (loop, false);
+ if (nitercst < 0)
+ continue;
+ if (nitercst > max)
+ nitercst = max;
+
+ predictor = PRED_LOOP_ITERATIONS_GUESSED;
+ }
+ else
+ continue;
+
+ probability = ((REG_BR_PROB_BASE + nitercst / 2) / nitercst);
+ predict_edge (ex, predictor, probability);
+ }
+ VEC_free (edge, heap, exits);
+
+ bbs = get_loop_body (loop);
+
+ for (j = 0; j < loop->num_nodes; j++)
+ {
+ int header_found = 0;
+ edge e;
+ edge_iterator ei;
+
+ bb = bbs[j];
+
+ /* Bypass loop heuristics on continue statement. These
+ statements construct loops via "non-loop" constructs
+ in the source language and are better to be handled
+ separately. */
+ if (predicted_by_p (bb, PRED_CONTINUE))
+ continue;
+
+ /* Loop branch heuristics - predict an edge back to a
+ loop's head as taken. */
+ if (bb == loop->latch)
+ {
+ e = find_edge (loop->latch, loop->header);
+ if (e)
+ {
+ header_found = 1;
+ predict_edge_def (e, PRED_LOOP_BRANCH, TAKEN);
+ }
+ }
+
+ /* Loop exit heuristics - predict an edge exiting the loop if the
+ conditional has no loop header successors as not taken. */
+ if (!header_found
+ /* If we already used more reliable loop exit predictors, do not
+ bother with PRED_LOOP_EXIT. */
+ && !predicted_by_p (bb, PRED_LOOP_ITERATIONS_GUESSED)
+ && !predicted_by_p (bb, PRED_LOOP_ITERATIONS))
+ {
+ /* For loop with many exits we don't want to predict all exits
+ with the pretty large probability, because if all exits are
+ considered in row, the loop would be predicted to iterate
+ almost never. The code to divide probability by number of
+ exits is very rough. It should compute the number of exits
+ taken in each patch through function (not the overall number
+ of exits that might be a lot higher for loops with wide switch
+ statements in them) and compute n-th square root.
+
+ We limit the minimal probability by 2% to avoid
+ EDGE_PROBABILITY_RELIABLE from trusting the branch prediction
+ as this was causing regression in perl benchmark containing such
+ a wide loop. */
+
+ int probability = ((REG_BR_PROB_BASE
+ - predictor_info [(int) PRED_LOOP_EXIT].hitrate)
+ / n_exits);
+ if (probability < HITRATE (2))
+ probability = HITRATE (2);
+ FOR_EACH_EDGE (e, ei, bb->succs)
+ if (e->dest->index < NUM_FIXED_BLOCKS
+ || !flow_bb_inside_loop_p (loop, e->dest))
+ predict_edge (e, PRED_LOOP_EXIT, probability);
+ }
+ }
+
+ /* Free basic blocks from get_loop_body. */
+ free (bbs);
+ }
+
+ scev_finalize ();
+}
+
+/* Attempt to predict probabilities of BB outgoing edges using local
+ properties. */
+static void
+bb_estimate_probability_locally (basic_block bb)
+{
+ rtx last_insn = BB_END (bb);
+ rtx cond;
+
+ if (! can_predict_insn_p (last_insn))
+ return;
+ cond = get_condition (last_insn, NULL, false, false);
+ if (! cond)
+ return;
+
+ /* Try "pointer heuristic."
+ A comparison ptr == 0 is predicted as false.
+ Similarly, a comparison ptr1 == ptr2 is predicted as false. */
+ if (COMPARISON_P (cond)
+ && ((REG_P (XEXP (cond, 0)) && REG_POINTER (XEXP (cond, 0)))
+ || (REG_P (XEXP (cond, 1)) && REG_POINTER (XEXP (cond, 1)))))
+ {
+ if (GET_CODE (cond) == EQ)
+ predict_insn_def (last_insn, PRED_POINTER, NOT_TAKEN);
+ else if (GET_CODE (cond) == NE)
+ predict_insn_def (last_insn, PRED_POINTER, TAKEN);
+ }
+ else
+
+ /* Try "opcode heuristic."
+ EQ tests are usually false and NE tests are usually true. Also,
+ most quantities are positive, so we can make the appropriate guesses
+ about signed comparisons against zero. */
+ switch (GET_CODE (cond))
+ {
+ case CONST_INT:
+ /* Unconditional branch. */
+ predict_insn_def (last_insn, PRED_UNCONDITIONAL,
+ cond == const0_rtx ? NOT_TAKEN : TAKEN);
+ break;
+
+ case EQ:
+ case UNEQ:
+ /* Floating point comparisons appears to behave in a very
+ unpredictable way because of special role of = tests in
+ FP code. */
+ if (FLOAT_MODE_P (GET_MODE (XEXP (cond, 0))))
+ ;
+ /* Comparisons with 0 are often used for booleans and there is
+ nothing useful to predict about them. */
+ else if (XEXP (cond, 1) == const0_rtx
+ || XEXP (cond, 0) == const0_rtx)
+ ;
+ else
+ predict_insn_def (last_insn, PRED_OPCODE_NONEQUAL, NOT_TAKEN);
+ break;
+
+ case NE:
+ case LTGT:
+ /* Floating point comparisons appears to behave in a very
+ unpredictable way because of special role of = tests in
+ FP code. */
+ if (FLOAT_MODE_P (GET_MODE (XEXP (cond, 0))))
+ ;
+ /* Comparisons with 0 are often used for booleans and there is
+ nothing useful to predict about them. */
+ else if (XEXP (cond, 1) == const0_rtx
+ || XEXP (cond, 0) == const0_rtx)
+ ;
+ else
+ predict_insn_def (last_insn, PRED_OPCODE_NONEQUAL, TAKEN);
+ break;
+
+ case ORDERED:
+ predict_insn_def (last_insn, PRED_FPOPCODE, TAKEN);
+ break;
+
+ case UNORDERED:
+ predict_insn_def (last_insn, PRED_FPOPCODE, NOT_TAKEN);
+ break;
+
+ case LE:
+ case LT:
+ if (XEXP (cond, 1) == const0_rtx || XEXP (cond, 1) == const1_rtx
+ || XEXP (cond, 1) == constm1_rtx)
+ predict_insn_def (last_insn, PRED_OPCODE_POSITIVE, NOT_TAKEN);
+ break;
+
+ case GE:
+ case GT:
+ if (XEXP (cond, 1) == const0_rtx || XEXP (cond, 1) == const1_rtx
+ || XEXP (cond, 1) == constm1_rtx)
+ predict_insn_def (last_insn, PRED_OPCODE_POSITIVE, TAKEN);
+ break;
+
+ default:
+ break;
+ }
+}
+
+/* Set edge->probability for each successor edge of BB. */
+void
+guess_outgoing_edge_probabilities (basic_block bb)
+{
+ bb_estimate_probability_locally (bb);
+ combine_predictions_for_insn (BB_END (bb), bb);
+}
+\f
+static tree expr_expected_value (tree, bitmap);
+
+/* Helper function for expr_expected_value. */
+
+static tree
+expr_expected_value_1 (tree type, tree op0, enum tree_code code, tree op1, bitmap visited)
+{
+ gimple def;
+
+ if (get_gimple_rhs_class (code) == GIMPLE_SINGLE_RHS)
+ {
+ if (TREE_CONSTANT (op0))
+ return op0;
+
+ if (code != SSA_NAME)
+ return NULL_TREE;
+
+ def = SSA_NAME_DEF_STMT (op0);
+
+ /* If we were already here, break the infinite cycle. */
+ if (bitmap_bit_p (visited, SSA_NAME_VERSION (op0)))
+ return NULL;
+ bitmap_set_bit (visited, SSA_NAME_VERSION (op0));
+
+ if (gimple_code (def) == GIMPLE_PHI)
+ {
+ /* All the arguments of the PHI node must have the same constant
+ length. */
+ int i, n = gimple_phi_num_args (def);
+ tree val = NULL, new_val;
+
+ for (i = 0; i < n; i++)
+ {
+ tree arg = PHI_ARG_DEF (def, i);
+
+ /* If this PHI has itself as an argument, we cannot
+ determine the string length of this argument. However,
+ if we can find an expected constant value for the other
+ PHI args then we can still be sure that this is
+ likely a constant. So be optimistic and just
+ continue with the next argument. */
+ if (arg == PHI_RESULT (def))
+ continue;
+
+ new_val = expr_expected_value (arg, visited);
+ if (!new_val)
+ return NULL;
+ if (!val)
+ val = new_val;
+ else if (!operand_equal_p (val, new_val, false))
+ return NULL;
+ }
+ return val;
+ }
+ if (is_gimple_assign (def))
+ {
+ if (gimple_assign_lhs (def) != op0)
+ return NULL;
+
+ return expr_expected_value_1 (TREE_TYPE (gimple_assign_lhs (def)),
+ gimple_assign_rhs1 (def),
+ gimple_assign_rhs_code (def),
+ gimple_assign_rhs2 (def),
+ visited);
+ }
+
+ if (is_gimple_call (def))
+ {
+ tree decl = gimple_call_fndecl (def);
+ if (!decl)
+ return NULL;
+ if (DECL_BUILT_IN_CLASS (decl) == BUILT_IN_NORMAL
+ && DECL_FUNCTION_CODE (decl) == BUILT_IN_EXPECT)
+ {
+ tree val;
+
+ if (gimple_call_num_args (def) != 2)
+ return NULL;
+ val = gimple_call_arg (def, 0);
+ if (TREE_CONSTANT (val))
+ return val;
+ return gimple_call_arg (def, 1);
+ }
+ }
+
+ return NULL;
+ }
+
+ if (get_gimple_rhs_class (code) == GIMPLE_BINARY_RHS)
+ {
+ tree res;
+ op0 = expr_expected_value (op0, visited);
+ if (!op0)
+ return NULL;
+ op1 = expr_expected_value (op1, visited);
+ if (!op1)
+ return NULL;
+ res = fold_build2 (code, type, op0, op1);
+ if (TREE_CONSTANT (res))
+ return res;
+ return NULL;
+ }
+ if (get_gimple_rhs_class (code) == GIMPLE_UNARY_RHS)
+ {
+ tree res;
+ op0 = expr_expected_value (op0, visited);
+ if (!op0)
+ return NULL;
+ res = fold_build1 (code, type, op0);
+ if (TREE_CONSTANT (res))
+ return res;
+ return NULL;
+ }
+ return NULL;
+}
+
+/* Return constant EXPR will likely have at execution time, NULL if unknown.
+ The function is used by builtin_expect branch predictor so the evidence
+ must come from this construct and additional possible constant folding.
+
+ We may want to implement more involved value guess (such as value range
+ propagation based prediction), but such tricks shall go to new
+ implementation. */
+
+static tree
+expr_expected_value (tree expr, bitmap visited)
+{
+ enum tree_code code;
+ tree op0, op1;
+
+ if (TREE_CONSTANT (expr))
+ return expr;
+
+ extract_ops_from_tree (expr, &code, &op0, &op1);
+ return expr_expected_value_1 (TREE_TYPE (expr),
+ op0, code, op1, visited);
+}
+
+\f
+/* Get rid of all builtin_expect calls and GIMPLE_PREDICT statements
+ we no longer need. */
+static unsigned int
+strip_predict_hints (void)
+{
+ basic_block bb;
+ gimple ass_stmt;
+ tree var;
+
+ FOR_EACH_BB (bb)
+ {
+ gimple_stmt_iterator bi;
+ for (bi = gsi_start_bb (bb); !gsi_end_p (bi);)
+ {
+ gimple stmt = gsi_stmt (bi);
+
+ if (gimple_code (stmt) == GIMPLE_PREDICT)
+ {
+ gsi_remove (&bi, true);
+ continue;
+ }
+ else if (gimple_code (stmt) == GIMPLE_CALL)
+ {
+ tree fndecl = gimple_call_fndecl (stmt);
+
+ if (fndecl
+ && DECL_BUILT_IN_CLASS (fndecl) == BUILT_IN_NORMAL
+ && DECL_FUNCTION_CODE (fndecl) == BUILT_IN_EXPECT
+ && gimple_call_num_args (stmt) == 2)
+ {
+ var = gimple_call_lhs (stmt);
+ ass_stmt = gimple_build_assign (var, gimple_call_arg (stmt, 0));
projects / msp430-gcc.git / blobdiff