xref: /netbsd-src/external/gpl3/gcc.old/dist/gcc/df-core.c (revision cef8759bd76c1b621f8eab8faa6f208faabc2e15)
1 /* Allocation for dataflow support routines.
2    Copyright (C) 1999-2017 Free Software Foundation, Inc.
3    Originally contributed by Michael P. Hayes
4              (m.hayes@elec.canterbury.ac.nz, mhayes@redhat.com)
5    Major rewrite contributed by Danny Berlin (dberlin@dberlin.org)
6              and Kenneth Zadeck (zadeck@naturalbridge.com).
7 
8 This file is part of GCC.
9 
10 GCC is free software; you can redistribute it and/or modify it under
11 the terms of the GNU General Public License as published by the Free
12 Software Foundation; either version 3, or (at your option) any later
13 version.
14 
15 GCC is distributed in the hope that it will be useful, but WITHOUT ANY
16 WARRANTY; without even the implied warranty of MERCHANTABILITY or
17 FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
18 for more details.
19 
20 You should have received a copy of the GNU General Public License
21 along with GCC; see the file COPYING3.  If not see
22 <http://www.gnu.org/licenses/>.  */
23 
24 /*
25 OVERVIEW:
26 
27 The files in this collection (df*.c,df.h) provide a general framework
28 for solving dataflow problems.  The global dataflow is performed using
29 a good implementation of iterative dataflow analysis.
30 
31 The file df-problems.c provides problem instance for the most common
32 dataflow problems: reaching defs, upward exposed uses, live variables,
33 uninitialized variables, def-use chains, and use-def chains.  However,
34 the interface allows other dataflow problems to be defined as well.
35 
36 Dataflow analysis is available in most of the rtl backend (the parts
37 between pass_df_initialize and pass_df_finish).  It is quite likely
38 that these boundaries will be expanded in the future.  The only
39 requirement is that there be a correct control flow graph.
40 
41 There are three variations of the live variable problem that are
42 available whenever dataflow is available.  The LR problem finds the
43 areas that can reach a use of a variable, the UR problems finds the
44 areas that can be reached from a definition of a variable.  The LIVE
45 problem finds the intersection of these two areas.
46 
47 There are several optional problems.  These can be enabled when they
48 are needed and disabled when they are not needed.
49 
50 Dataflow problems are generally solved in three layers.  The bottom
51 layer is called scanning where a data structure is built for each rtl
52 insn that describes the set of defs and uses of that insn.  Scanning
53 is generally kept up to date, i.e. as the insns changes, the scanned
54 version of that insn changes also.  There are various mechanisms for
55 making this happen and are described in the INCREMENTAL SCANNING
56 section.
57 
58 In the middle layer, basic blocks are scanned to produce transfer
59 functions which describe the effects of that block on the global
60 dataflow solution.  The transfer functions are only rebuilt if the
61 some instruction within the block has changed.
62 
63 The top layer is the dataflow solution itself.  The dataflow solution
64 is computed by using an efficient iterative solver and the transfer
65 functions.  The dataflow solution must be recomputed whenever the
66 control changes or if one of the transfer function changes.
67 
68 
69 USAGE:
70 
71 Here is an example of using the dataflow routines.
72 
73       df_[chain,live,note,rd]_add_problem (flags);
74 
75       df_set_blocks (blocks);
76 
77       df_analyze ();
78 
79       df_dump (stderr);
80 
81       df_finish_pass (false);
82 
83 DF_[chain,live,note,rd]_ADD_PROBLEM adds a problem, defined by an
84 instance to struct df_problem, to the set of problems solved in this
85 instance of df.  All calls to add a problem for a given instance of df
86 must occur before the first call to DF_ANALYZE.
87 
88 Problems can be dependent on other problems.  For instance, solving
89 def-use or use-def chains is dependent on solving reaching
90 definitions. As long as these dependencies are listed in the problem
91 definition, the order of adding the problems is not material.
92 Otherwise, the problems will be solved in the order of calls to
93 df_add_problem.  Note that it is not necessary to have a problem.  In
94 that case, df will just be used to do the scanning.
95 
96 
97 
98 DF_SET_BLOCKS is an optional call used to define a region of the
99 function on which the analysis will be performed.  The normal case is
100 to analyze the entire function and no call to df_set_blocks is made.
101 DF_SET_BLOCKS only effects the blocks that are effected when computing
102 the transfer functions and final solution.  The insn level information
103 is always kept up to date.
104 
105 When a subset is given, the analysis behaves as if the function only
106 contains those blocks and any edges that occur directly between the
107 blocks in the set.  Care should be taken to call df_set_blocks right
108 before the call to analyze in order to eliminate the possibility that
109 optimizations that reorder blocks invalidate the bitvector.
110 
111 DF_ANALYZE causes all of the defined problems to be (re)solved.  When
112 DF_ANALYZE is completes, the IN and OUT sets for each basic block
113 contain the computer information.  The DF_*_BB_INFO macros can be used
114 to access these bitvectors.  All deferred rescannings are down before
115 the transfer functions are recomputed.
116 
117 DF_DUMP can then be called to dump the information produce to some
118 file.  This calls DF_DUMP_START, to print the information that is not
119 basic block specific, and then calls DF_DUMP_TOP and DF_DUMP_BOTTOM
120 for each block to print the basic specific information.  These parts
121 can all be called separately as part of a larger dump function.
122 
123 
124 DF_FINISH_PASS causes df_remove_problem to be called on all of the
125 optional problems.  It also causes any insns whose scanning has been
126 deferred to be rescanned as well as clears all of the changeable flags.
127 Setting the pass manager TODO_df_finish flag causes this function to
128 be run.  However, the pass manager will call df_finish_pass AFTER the
129 pass dumping has been done, so if you want to see the results of the
130 optional problems in the pass dumps, use the TODO flag rather than
131 calling the function yourself.
132 
133 INCREMENTAL SCANNING
134 
135 There are four ways of doing the incremental scanning:
136 
137 1) Immediate rescanning - Calls to df_insn_rescan, df_notes_rescan,
138    df_bb_delete, df_insn_change_bb have been added to most of
139    the low level service functions that maintain the cfg and change
140    rtl.  Calling and of these routines many cause some number of insns
141    to be rescanned.
142 
143    For most modern rtl passes, this is certainly the easiest way to
144    manage rescanning the insns.  This technique also has the advantage
145    that the scanning information is always correct and can be relied
146    upon even after changes have been made to the instructions.  This
147    technique is contra indicated in several cases:
148 
149    a) If def-use chains OR use-def chains (but not both) are built,
150       using this is SIMPLY WRONG.  The problem is that when a ref is
151       deleted that is the target of an edge, there is not enough
152       information to efficiently find the source of the edge and
153       delete the edge.  This leaves a dangling reference that may
154       cause problems.
155 
156    b) If def-use chains AND use-def chains are built, this may
157       produce unexpected results.  The problem is that the incremental
158       scanning of an insn does not know how to repair the chains that
159       point into an insn when the insn changes.  So the incremental
160       scanning just deletes the chains that enter and exit the insn
161       being changed.  The dangling reference issue in (a) is not a
162       problem here, but if the pass is depending on the chains being
163       maintained after insns have been modified, this technique will
164       not do the correct thing.
165 
166    c) If the pass modifies insns several times, this incremental
167       updating may be expensive.
168 
169    d) If the pass modifies all of the insns, as does register
170       allocation, it is simply better to rescan the entire function.
171 
172 2) Deferred rescanning - Calls to df_insn_rescan, df_notes_rescan, and
173    df_insn_delete do not immediately change the insn but instead make
174    a note that the insn needs to be rescanned.  The next call to
175    df_analyze, df_finish_pass, or df_process_deferred_rescans will
176    cause all of the pending rescans to be processed.
177 
178    This is the technique of choice if either 1a, 1b, or 1c are issues
179    in the pass.  In the case of 1a or 1b, a call to df_finish_pass
180    (either manually or via TODO_df_finish) should be made before the
181    next call to df_analyze or df_process_deferred_rescans.
182 
183    This mode is also used by a few passes that still rely on note_uses,
184    note_stores and rtx iterators instead of using the DF data.  This
185    can be said to fall under case 1c.
186 
187    To enable this mode, call df_set_flags (DF_DEFER_INSN_RESCAN).
188    (This mode can be cleared by calling df_clear_flags
189    (DF_DEFER_INSN_RESCAN) but this does not cause the deferred insns to
190    be rescanned.
191 
192 3) Total rescanning - In this mode the rescanning is disabled.
193    Only when insns are deleted is the df information associated with
194    it also deleted.  At the end of the pass, a call must be made to
195    df_insn_rescan_all.  This method is used by the register allocator
196    since it generally changes each insn multiple times (once for each ref)
197    and does not need to make use of the updated scanning information.
198 
199 4) Do it yourself - In this mechanism, the pass updates the insns
200    itself using the low level df primitives.  Currently no pass does
201    this, but it has the advantage that it is quite efficient given
202    that the pass generally has exact knowledge of what it is changing.
203 
204 DATA STRUCTURES
205 
206 Scanning produces a `struct df_ref' data structure (ref) is allocated
207 for every register reference (def or use) and this records the insn
208 and bb the ref is found within.  The refs are linked together in
209 chains of uses and defs for each insn and for each register.  Each ref
210 also has a chain field that links all the use refs for a def or all
211 the def refs for a use.  This is used to create use-def or def-use
212 chains.
213 
214 Different optimizations have different needs.  Ultimately, only
215 register allocation and schedulers should be using the bitmaps
216 produced for the live register and uninitialized register problems.
217 The rest of the backend should be upgraded to using and maintaining
218 the linked information such as def use or use def chains.
219 
220 
221 PHILOSOPHY:
222 
223 While incremental bitmaps are not worthwhile to maintain, incremental
224 chains may be perfectly reasonable.  The fastest way to build chains
225 from scratch or after significant modifications is to build reaching
226 definitions (RD) and build the chains from this.
227 
228 However, general algorithms for maintaining use-def or def-use chains
229 are not practical.  The amount of work to recompute the chain any
230 chain after an arbitrary change is large.  However, with a modest
231 amount of work it is generally possible to have the application that
232 uses the chains keep them up to date.  The high level knowledge of
233 what is really happening is essential to crafting efficient
234 incremental algorithms.
235 
236 As for the bit vector problems, there is no interface to give a set of
237 blocks over with to resolve the iteration.  In general, restarting a
238 dataflow iteration is difficult and expensive.  Again, the best way to
239 keep the dataflow information up to data (if this is really what is
240 needed) it to formulate a problem specific solution.
241 
242 There are fine grained calls for creating and deleting references from
243 instructions in df-scan.c.  However, these are not currently connected
244 to the engine that resolves the dataflow equations.
245 
246 
247 DATA STRUCTURES:
248 
249 The basic object is a DF_REF (reference) and this may either be a
250 DEF (definition) or a USE of a register.
251 
252 These are linked into a variety of lists; namely reg-def, reg-use,
253 insn-def, insn-use, def-use, and use-def lists.  For example, the
254 reg-def lists contain all the locations that define a given register
255 while the insn-use lists contain all the locations that use a
256 register.
257 
258 Note that the reg-def and reg-use chains are generally short for
259 pseudos and long for the hard registers.
260 
261 ACCESSING INSNS:
262 
263 1) The df insn information is kept in an array of DF_INSN_INFO objects.
264    The array is indexed by insn uid, and every DF_REF points to the
265    DF_INSN_INFO object of the insn that contains the reference.
266 
267 2) Each insn has three sets of refs, which are linked into one of three
268    lists: The insn's defs list (accessed by the DF_INSN_INFO_DEFS,
269    DF_INSN_DEFS, or DF_INSN_UID_DEFS macros), the insn's uses list
270    (accessed by the DF_INSN_INFO_USES, DF_INSN_USES, or
271    DF_INSN_UID_USES macros) or the insn's eq_uses list (accessed by the
272    DF_INSN_INFO_EQ_USES, DF_INSN_EQ_USES or DF_INSN_UID_EQ_USES macros).
273    The latter list are the list of references in REG_EQUAL or REG_EQUIV
274    notes.  These macros produce a ref (or NULL), the rest of the list
275    can be obtained by traversal of the NEXT_REF field (accessed by the
276    DF_REF_NEXT_REF macro.)  There is no significance to the ordering of
277    the uses or refs in an instruction.
278 
279 3) Each insn has a logical uid field (LUID) which is stored in the
280    DF_INSN_INFO object for the insn.  The LUID field is accessed by
281    the DF_INSN_INFO_LUID, DF_INSN_LUID, and DF_INSN_UID_LUID macros.
282    When properly set, the LUID is an integer that numbers each insn in
283    the basic block, in order from the start of the block.
284    The numbers are only correct after a call to df_analyze.  They will
285    rot after insns are added deleted or moved round.
286 
287 ACCESSING REFS:
288 
289 There are 4 ways to obtain access to refs:
290 
291 1) References are divided into two categories, REAL and ARTIFICIAL.
292 
293    REAL refs are associated with instructions.
294 
295    ARTIFICIAL refs are associated with basic blocks.  The heads of
296    these lists can be accessed by calling df_get_artificial_defs or
297    df_get_artificial_uses for the particular basic block.
298 
299    Artificial defs and uses occur both at the beginning and ends of blocks.
300 
301      For blocks that are at the destination of eh edges, the
302      artificial uses and defs occur at the beginning.  The defs relate
303      to the registers specified in EH_RETURN_DATA_REGNO and the uses
304      relate to the registers specified in EH_USES.  Logically these
305      defs and uses should really occur along the eh edge, but there is
306      no convenient way to do this.  Artificial defs that occur at the
307      beginning of the block have the DF_REF_AT_TOP flag set.
308 
309      Artificial uses occur at the end of all blocks.  These arise from
310      the hard registers that are always live, such as the stack
311      register and are put there to keep the code from forgetting about
312      them.
313 
314      Artificial defs occur at the end of the entry block.  These arise
315      from registers that are live at entry to the function.
316 
317 2) There are three types of refs: defs, uses and eq_uses.  (Eq_uses are
318    uses that appear inside a REG_EQUAL or REG_EQUIV note.)
319 
320    All of the eq_uses, uses and defs associated with each pseudo or
321    hard register may be linked in a bidirectional chain.  These are
322    called reg-use or reg_def chains.  If the changeable flag
323    DF_EQ_NOTES is set when the chains are built, the eq_uses will be
324    treated like uses.  If it is not set they are ignored.
325 
326    The first use, eq_use or def for a register can be obtained using
327    the DF_REG_USE_CHAIN, DF_REG_EQ_USE_CHAIN or DF_REG_DEF_CHAIN
328    macros.  Subsequent uses for the same regno can be obtained by
329    following the next_reg field of the ref.  The number of elements in
330    each of the chains can be found by using the DF_REG_USE_COUNT,
331    DF_REG_EQ_USE_COUNT or DF_REG_DEF_COUNT macros.
332 
333    In previous versions of this code, these chains were ordered.  It
334    has not been practical to continue this practice.
335 
336 3) If def-use or use-def chains are built, these can be traversed to
337    get to other refs.  If the flag DF_EQ_NOTES has been set, the chains
338    include the eq_uses.  Otherwise these are ignored when building the
339    chains.
340 
341 4) An array of all of the uses (and an array of all of the defs) can
342    be built.  These arrays are indexed by the value in the id
343    structure.  These arrays are only lazily kept up to date, and that
344    process can be expensive.  To have these arrays built, call
345    df_reorganize_defs or df_reorganize_uses.  If the flag DF_EQ_NOTES
346    has been set the array will contain the eq_uses.  Otherwise these
347    are ignored when building the array and assigning the ids.  Note
348    that the values in the id field of a ref may change across calls to
349    df_analyze or df_reorganize_defs or df_reorganize_uses.
350 
351    If the only use of this array is to find all of the refs, it is
352    better to traverse all of the registers and then traverse all of
353    reg-use or reg-def chains.
354 
355 NOTES:
356 
357 Embedded addressing side-effects, such as POST_INC or PRE_INC, generate
358 both a use and a def.  These are both marked read/write to show that they
359 are dependent. For example, (set (reg 40) (mem (post_inc (reg 42))))
360 will generate a use of reg 42 followed by a def of reg 42 (both marked
361 read/write).  Similarly, (set (reg 40) (mem (pre_dec (reg 41))))
362 generates a use of reg 41 then a def of reg 41 (both marked read/write),
363 even though reg 41 is decremented before it is used for the memory
364 address in this second example.
365 
366 A set to a REG inside a ZERO_EXTRACT, or a set to a non-paradoxical SUBREG
367 for which the number of word_mode units covered by the outer mode is
368 smaller than that covered by the inner mode, invokes a read-modify-write
369 operation.  We generate both a use and a def and again mark them
370 read/write.
371 
372 Paradoxical subreg writes do not leave a trace of the old content, so they
373 are write-only operations.
374 */
375 
376 
377 #include "config.h"
378 #include "system.h"
379 #include "coretypes.h"
380 #include "backend.h"
381 #include "rtl.h"
382 #include "df.h"
383 #include "memmodel.h"
384 #include "emit-rtl.h"
385 #include "cfganal.h"
386 #include "tree-pass.h"
387 #include "cfgloop.h"
388 
389 static void *df_get_bb_info (struct dataflow *, unsigned int);
390 static void df_set_bb_info (struct dataflow *, unsigned int, void *);
391 static void df_clear_bb_info (struct dataflow *, unsigned int);
392 #ifdef DF_DEBUG_CFG
393 static void df_set_clean_cfg (void);
394 #endif
395 
396 /* The obstack on which regsets are allocated.  */
397 struct bitmap_obstack reg_obstack;
398 
399 /* An obstack for bitmap not related to specific dataflow problems.
400    This obstack should e.g. be used for bitmaps with a short life time
401    such as temporary bitmaps.  */
402 
403 bitmap_obstack df_bitmap_obstack;
404 
405 
406 /*----------------------------------------------------------------------------
407   Functions to create, destroy and manipulate an instance of df.
408 ----------------------------------------------------------------------------*/
409 
410 struct df_d *df;
411 
412 /* Add PROBLEM (and any dependent problems) to the DF instance.  */
413 
414 void
415 df_add_problem (const struct df_problem *problem)
416 {
417   struct dataflow *dflow;
418   int i;
419 
420   /* First try to add the dependent problem. */
421   if (problem->dependent_problem)
422     df_add_problem (problem->dependent_problem);
423 
424   /* Check to see if this problem has already been defined.  If it
425      has, just return that instance, if not, add it to the end of the
426      vector.  */
427   dflow = df->problems_by_index[problem->id];
428   if (dflow)
429     return;
430 
431   /* Make a new one and add it to the end.  */
432   dflow = XCNEW (struct dataflow);
433   dflow->problem = problem;
434   dflow->computed = false;
435   dflow->solutions_dirty = true;
436   df->problems_by_index[dflow->problem->id] = dflow;
437 
438   /* Keep the defined problems ordered by index.  This solves the
439      problem that RI will use the information from UREC if UREC has
440      been defined, or from LIVE if LIVE is defined and otherwise LR.
441      However for this to work, the computation of RI must be pushed
442      after which ever of those problems is defined, but we do not
443      require any of those except for LR to have actually been
444      defined.  */
445   df->num_problems_defined++;
446   for (i = df->num_problems_defined - 2; i >= 0; i--)
447     {
448       if (problem->id < df->problems_in_order[i]->problem->id)
449 	df->problems_in_order[i+1] = df->problems_in_order[i];
450       else
451 	{
452 	  df->problems_in_order[i+1] = dflow;
453 	  return;
454 	}
455     }
456   df->problems_in_order[0] = dflow;
457 }
458 
459 
460 /* Set the MASK flags in the DFLOW problem.  The old flags are
461    returned.  If a flag is not allowed to be changed this will fail if
462    checking is enabled.  */
463 int
464 df_set_flags (int changeable_flags)
465 {
466   int old_flags = df->changeable_flags;
467   df->changeable_flags |= changeable_flags;
468   return old_flags;
469 }
470 
471 
472 /* Clear the MASK flags in the DFLOW problem.  The old flags are
473    returned.  If a flag is not allowed to be changed this will fail if
474    checking is enabled.  */
475 int
476 df_clear_flags (int changeable_flags)
477 {
478   int old_flags = df->changeable_flags;
479   df->changeable_flags &= ~changeable_flags;
480   return old_flags;
481 }
482 
483 
484 /* Set the blocks that are to be considered for analysis.  If this is
485    not called or is called with null, the entire function in
486    analyzed.  */
487 
488 void
489 df_set_blocks (bitmap blocks)
490 {
491   if (blocks)
492     {
493       if (dump_file)
494 	bitmap_print (dump_file, blocks, "setting blocks to analyze ", "\n");
495       if (df->blocks_to_analyze)
496 	{
497 	  /* This block is called to change the focus from one subset
498 	     to another.  */
499 	  int p;
500 	  bitmap_head diff;
501 	  bitmap_initialize (&diff, &df_bitmap_obstack);
502 	  bitmap_and_compl (&diff, df->blocks_to_analyze, blocks);
503 	  for (p = 0; p < df->num_problems_defined; p++)
504 	    {
505 	      struct dataflow *dflow = df->problems_in_order[p];
506 	      if (dflow->optional_p && dflow->problem->reset_fun)
507 		dflow->problem->reset_fun (df->blocks_to_analyze);
508 	      else if (dflow->problem->free_blocks_on_set_blocks)
509 		{
510 		  bitmap_iterator bi;
511 		  unsigned int bb_index;
512 
513 		  EXECUTE_IF_SET_IN_BITMAP (&diff, 0, bb_index, bi)
514 		    {
515 		      basic_block bb = BASIC_BLOCK_FOR_FN (cfun, bb_index);
516 		      if (bb)
517 			{
518 			  void *bb_info = df_get_bb_info (dflow, bb_index);
519 			  dflow->problem->free_bb_fun (bb, bb_info);
520 			  df_clear_bb_info (dflow, bb_index);
521 			}
522 		    }
523 		}
524 	    }
525 
526 	   bitmap_clear (&diff);
527 	}
528       else
529 	{
530 	  /* This block of code is executed to change the focus from
531 	     the entire function to a subset.  */
532 	  bitmap_head blocks_to_reset;
533 	  bool initialized = false;
534 	  int p;
535 	  for (p = 0; p < df->num_problems_defined; p++)
536 	    {
537 	      struct dataflow *dflow = df->problems_in_order[p];
538 	      if (dflow->optional_p && dflow->problem->reset_fun)
539 		{
540 		  if (!initialized)
541 		    {
542 		      basic_block bb;
543 		      bitmap_initialize (&blocks_to_reset, &df_bitmap_obstack);
544 		      FOR_ALL_BB_FN (bb, cfun)
545 			{
546 			  bitmap_set_bit (&blocks_to_reset, bb->index);
547 			}
548 		    }
549 		  dflow->problem->reset_fun (&blocks_to_reset);
550 		}
551 	    }
552 	  if (initialized)
553 	    bitmap_clear (&blocks_to_reset);
554 
555 	  df->blocks_to_analyze = BITMAP_ALLOC (&df_bitmap_obstack);
556 	}
557       bitmap_copy (df->blocks_to_analyze, blocks);
558       df->analyze_subset = true;
559     }
560   else
561     {
562       /* This block is executed to reset the focus to the entire
563 	 function.  */
564       if (dump_file)
565 	fprintf (dump_file, "clearing blocks_to_analyze\n");
566       if (df->blocks_to_analyze)
567 	{
568 	  BITMAP_FREE (df->blocks_to_analyze);
569 	  df->blocks_to_analyze = NULL;
570 	}
571       df->analyze_subset = false;
572     }
573 
574   /* Setting the blocks causes the refs to be unorganized since only
575      the refs in the blocks are seen.  */
576   df_maybe_reorganize_def_refs (DF_REF_ORDER_NO_TABLE);
577   df_maybe_reorganize_use_refs (DF_REF_ORDER_NO_TABLE);
578   df_mark_solutions_dirty ();
579 }
580 
581 
582 /* Delete a DFLOW problem (and any problems that depend on this
583    problem).  */
584 
585 void
586 df_remove_problem (struct dataflow *dflow)
587 {
588   const struct df_problem *problem;
589   int i;
590 
591   if (!dflow)
592     return;
593 
594   problem = dflow->problem;
595   gcc_assert (problem->remove_problem_fun);
596 
597   /* Delete any problems that depended on this problem first.  */
598   for (i = 0; i < df->num_problems_defined; i++)
599     if (df->problems_in_order[i]->problem->dependent_problem == problem)
600       df_remove_problem (df->problems_in_order[i]);
601 
602   /* Now remove this problem.  */
603   for (i = 0; i < df->num_problems_defined; i++)
604     if (df->problems_in_order[i] == dflow)
605       {
606 	int j;
607 	for (j = i + 1; j < df->num_problems_defined; j++)
608 	  df->problems_in_order[j-1] = df->problems_in_order[j];
609 	df->problems_in_order[j-1] = NULL;
610 	df->num_problems_defined--;
611 	break;
612       }
613 
614   (problem->remove_problem_fun) ();
615   df->problems_by_index[problem->id] = NULL;
616 }
617 
618 
619 /* Remove all of the problems that are not permanent.  Scanning, LR
620    and (at -O2 or higher) LIVE are permanent, the rest are removable.
621    Also clear all of the changeable_flags.  */
622 
623 void
624 df_finish_pass (bool verify ATTRIBUTE_UNUSED)
625 {
626   int i;
627 
628 #ifdef ENABLE_DF_CHECKING
629   int saved_flags;
630 #endif
631 
632   if (!df)
633     return;
634 
635   df_maybe_reorganize_def_refs (DF_REF_ORDER_NO_TABLE);
636   df_maybe_reorganize_use_refs (DF_REF_ORDER_NO_TABLE);
637 
638 #ifdef ENABLE_DF_CHECKING
639   saved_flags = df->changeable_flags;
640 #endif
641 
642   /* We iterate over problems by index as each problem removed will
643      lead to problems_in_order to be reordered.  */
644   for (i = 0; i < DF_LAST_PROBLEM_PLUS1; i++)
645     {
646       struct dataflow *dflow = df->problems_by_index[i];
647 
648       if (dflow && dflow->optional_p)
649 	df_remove_problem (dflow);
650     }
651 
652   /* Clear all of the flags.  */
653   df->changeable_flags = 0;
654   df_process_deferred_rescans ();
655 
656   /* Set the focus back to the whole function.  */
657   if (df->blocks_to_analyze)
658     {
659       BITMAP_FREE (df->blocks_to_analyze);
660       df->blocks_to_analyze = NULL;
661       df_mark_solutions_dirty ();
662       df->analyze_subset = false;
663     }
664 
665 #ifdef ENABLE_DF_CHECKING
666   /* Verification will fail in DF_NO_INSN_RESCAN.  */
667   if (!(saved_flags & DF_NO_INSN_RESCAN))
668     {
669       df_lr_verify_transfer_functions ();
670       if (df_live)
671 	df_live_verify_transfer_functions ();
672     }
673 
674 #ifdef DF_DEBUG_CFG
675   df_set_clean_cfg ();
676 #endif
677 #endif
678 
679   if (flag_checking && verify)
680     df->changeable_flags |= DF_VERIFY_SCHEDULED;
681 }
682 
683 
684 /* Set up the dataflow instance for the entire back end.  */
685 
686 static unsigned int
687 rest_of_handle_df_initialize (void)
688 {
689   gcc_assert (!df);
690   df = XCNEW (struct df_d);
691   df->changeable_flags = 0;
692 
693   bitmap_obstack_initialize (&df_bitmap_obstack);
694 
695   /* Set this to a conservative value.  Stack_ptr_mod will compute it
696      correctly later.  */
697   crtl->sp_is_unchanging = 0;
698 
699   df_scan_add_problem ();
700   df_scan_alloc (NULL);
701 
702   /* These three problems are permanent.  */
703   df_lr_add_problem ();
704   if (optimize > 1)
705     df_live_add_problem ();
706 
707   df->postorder = XNEWVEC (int, last_basic_block_for_fn (cfun));
708   df->postorder_inverted = XNEWVEC (int, last_basic_block_for_fn (cfun));
709   df->n_blocks = post_order_compute (df->postorder, true, true);
710   df->n_blocks_inverted = inverted_post_order_compute (df->postorder_inverted);
711   gcc_assert (df->n_blocks == df->n_blocks_inverted);
712 
713   df->hard_regs_live_count = XCNEWVEC (unsigned int, FIRST_PSEUDO_REGISTER);
714 
715   df_hard_reg_init ();
716   /* After reload, some ports add certain bits to regs_ever_live so
717      this cannot be reset.  */
718   df_compute_regs_ever_live (true);
719   df_scan_blocks ();
720   df_compute_regs_ever_live (false);
721   return 0;
722 }
723 
724 
725 namespace {
726 
727 const pass_data pass_data_df_initialize_opt =
728 {
729   RTL_PASS, /* type */
730   "dfinit", /* name */
731   OPTGROUP_NONE, /* optinfo_flags */
732   TV_DF_SCAN, /* tv_id */
733   0, /* properties_required */
734   0, /* properties_provided */
735   0, /* properties_destroyed */
736   0, /* todo_flags_start */
737   0, /* todo_flags_finish */
738 };
739 
740 class pass_df_initialize_opt : public rtl_opt_pass
741 {
742 public:
743   pass_df_initialize_opt (gcc::context *ctxt)
744     : rtl_opt_pass (pass_data_df_initialize_opt, ctxt)
745   {}
746 
747   /* opt_pass methods: */
748   virtual bool gate (function *) { return optimize > 0; }
749   virtual unsigned int execute (function *)
750     {
751       return rest_of_handle_df_initialize ();
752     }
753 
754 }; // class pass_df_initialize_opt
755 
756 } // anon namespace
757 
758 rtl_opt_pass *
759 make_pass_df_initialize_opt (gcc::context *ctxt)
760 {
761   return new pass_df_initialize_opt (ctxt);
762 }
763 
764 
765 namespace {
766 
767 const pass_data pass_data_df_initialize_no_opt =
768 {
769   RTL_PASS, /* type */
770   "no-opt dfinit", /* name */
771   OPTGROUP_NONE, /* optinfo_flags */
772   TV_DF_SCAN, /* tv_id */
773   0, /* properties_required */
774   0, /* properties_provided */
775   0, /* properties_destroyed */
776   0, /* todo_flags_start */
777   0, /* todo_flags_finish */
778 };
779 
780 class pass_df_initialize_no_opt : public rtl_opt_pass
781 {
782 public:
783   pass_df_initialize_no_opt (gcc::context *ctxt)
784     : rtl_opt_pass (pass_data_df_initialize_no_opt, ctxt)
785   {}
786 
787   /* opt_pass methods: */
788   virtual bool gate (function *) { return optimize == 0; }
789   virtual unsigned int execute (function *)
790     {
791       return rest_of_handle_df_initialize ();
792     }
793 
794 }; // class pass_df_initialize_no_opt
795 
796 } // anon namespace
797 
798 rtl_opt_pass *
799 make_pass_df_initialize_no_opt (gcc::context *ctxt)
800 {
801   return new pass_df_initialize_no_opt (ctxt);
802 }
803 
804 
805 /* Free all the dataflow info and the DF structure.  This should be
806    called from the df_finish macro which also NULLs the parm.  */
807 
808 static unsigned int
809 rest_of_handle_df_finish (void)
810 {
811   int i;
812 
813   gcc_assert (df);
814 
815   for (i = 0; i < df->num_problems_defined; i++)
816     {
817       struct dataflow *dflow = df->problems_in_order[i];
818       dflow->problem->free_fun ();
819     }
820 
821   free (df->postorder);
822   free (df->postorder_inverted);
823   free (df->hard_regs_live_count);
824   free (df);
825   df = NULL;
826 
827   bitmap_obstack_release (&df_bitmap_obstack);
828   return 0;
829 }
830 
831 
832 namespace {
833 
834 const pass_data pass_data_df_finish =
835 {
836   RTL_PASS, /* type */
837   "dfinish", /* name */
838   OPTGROUP_NONE, /* optinfo_flags */
839   TV_NONE, /* tv_id */
840   0, /* properties_required */
841   0, /* properties_provided */
842   0, /* properties_destroyed */
843   0, /* todo_flags_start */
844   0, /* todo_flags_finish */
845 };
846 
847 class pass_df_finish : public rtl_opt_pass
848 {
849 public:
850   pass_df_finish (gcc::context *ctxt)
851     : rtl_opt_pass (pass_data_df_finish, ctxt)
852   {}
853 
854   /* opt_pass methods: */
855   virtual unsigned int execute (function *)
856     {
857       return rest_of_handle_df_finish ();
858     }
859 
860 }; // class pass_df_finish
861 
862 } // anon namespace
863 
864 rtl_opt_pass *
865 make_pass_df_finish (gcc::context *ctxt)
866 {
867   return new pass_df_finish (ctxt);
868 }
869 
870 
871 
872 
873 
874 /*----------------------------------------------------------------------------
875    The general data flow analysis engine.
876 ----------------------------------------------------------------------------*/
877 
878 /* Return time BB when it was visited for last time.  */
879 #define BB_LAST_CHANGE_AGE(bb) ((ptrdiff_t)(bb)->aux)
880 
881 /* Helper function for df_worklist_dataflow.
882    Propagate the dataflow forward.
883    Given a BB_INDEX, do the dataflow propagation
884    and set bits on for successors in PENDING
885    if the out set of the dataflow has changed.
886 
887    AGE specify time when BB was visited last time.
888    AGE of 0 means we are visiting for first time and need to
889    compute transfer function to initialize datastructures.
890    Otherwise we re-do transfer function only if something change
891    while computing confluence functions.
892    We need to compute confluence only of basic block that are younger
893    then last visit of the BB.
894 
895    Return true if BB info has changed.  This is always the case
896    in the first visit.  */
897 
898 static bool
899 df_worklist_propagate_forward (struct dataflow *dataflow,
900                                unsigned bb_index,
901                                unsigned *bbindex_to_postorder,
902                                bitmap pending,
903                                sbitmap considered,
904 			       ptrdiff_t age)
905 {
906   edge e;
907   edge_iterator ei;
908   basic_block bb = BASIC_BLOCK_FOR_FN (cfun, bb_index);
909   bool changed = !age;
910 
911   /*  Calculate <conf_op> of incoming edges.  */
912   if (EDGE_COUNT (bb->preds) > 0)
913     FOR_EACH_EDGE (e, ei, bb->preds)
914       {
915         if (age <= BB_LAST_CHANGE_AGE (e->src)
916 	    && bitmap_bit_p (considered, e->src->index))
917           changed |= dataflow->problem->con_fun_n (e);
918       }
919   else if (dataflow->problem->con_fun_0)
920     dataflow->problem->con_fun_0 (bb);
921 
922   if (changed
923       && dataflow->problem->trans_fun (bb_index))
924     {
925       /* The out set of this block has changed.
926          Propagate to the outgoing blocks.  */
927       FOR_EACH_EDGE (e, ei, bb->succs)
928         {
929           unsigned ob_index = e->dest->index;
930 
931           if (bitmap_bit_p (considered, ob_index))
932             bitmap_set_bit (pending, bbindex_to_postorder[ob_index]);
933         }
934       return true;
935     }
936   return false;
937 }
938 
939 
940 /* Helper function for df_worklist_dataflow.
941    Propagate the dataflow backward.  */
942 
943 static bool
944 df_worklist_propagate_backward (struct dataflow *dataflow,
945                                 unsigned bb_index,
946                                 unsigned *bbindex_to_postorder,
947                                 bitmap pending,
948                                 sbitmap considered,
949 			        ptrdiff_t age)
950 {
951   edge e;
952   edge_iterator ei;
953   basic_block bb = BASIC_BLOCK_FOR_FN (cfun, bb_index);
954   bool changed = !age;
955 
956   /*  Calculate <conf_op> of incoming edges.  */
957   if (EDGE_COUNT (bb->succs) > 0)
958     FOR_EACH_EDGE (e, ei, bb->succs)
959       {
960         if (age <= BB_LAST_CHANGE_AGE (e->dest)
961 	    && bitmap_bit_p (considered, e->dest->index))
962           changed |= dataflow->problem->con_fun_n (e);
963       }
964   else if (dataflow->problem->con_fun_0)
965     dataflow->problem->con_fun_0 (bb);
966 
967   if (changed
968       && dataflow->problem->trans_fun (bb_index))
969     {
970       /* The out set of this block has changed.
971          Propagate to the outgoing blocks.  */
972       FOR_EACH_EDGE (e, ei, bb->preds)
973         {
974           unsigned ob_index = e->src->index;
975 
976           if (bitmap_bit_p (considered, ob_index))
977             bitmap_set_bit (pending, bbindex_to_postorder[ob_index]);
978         }
979       return true;
980     }
981   return false;
982 }
983 
984 /* Main dataflow solver loop.
985 
986    DATAFLOW is problem we are solving, PENDING is worklist of basic blocks we
987    need to visit.
988    BLOCK_IN_POSTORDER is array of size N_BLOCKS specifying postorder in BBs and
989    BBINDEX_TO_POSTORDER is array mapping back BB->index to postorder position.
990    PENDING will be freed.
991 
992    The worklists are bitmaps indexed by postorder positions.
993 
994    The function implements standard algorithm for dataflow solving with two
995    worklists (we are processing WORKLIST and storing new BBs to visit in
996    PENDING).
997 
998    As an optimization we maintain ages when BB was changed (stored in bb->aux)
999    and when it was last visited (stored in last_visit_age).  This avoids need
1000    to re-do confluence function for edges to basic blocks whose source
1001    did not change since destination was visited last time.  */
1002 
1003 static void
1004 df_worklist_dataflow_doublequeue (struct dataflow *dataflow,
1005 			  	  bitmap pending,
1006                                   sbitmap considered,
1007                                   int *blocks_in_postorder,
1008 				  unsigned *bbindex_to_postorder,
1009 				  int n_blocks)
1010 {
1011   enum df_flow_dir dir = dataflow->problem->dir;
1012   int dcount = 0;
1013   bitmap worklist = BITMAP_ALLOC (&df_bitmap_obstack);
1014   int age = 0;
1015   bool changed;
1016   vec<int> last_visit_age = vNULL;
1017   int prev_age;
1018   basic_block bb;
1019   int i;
1020 
1021   last_visit_age.safe_grow_cleared (n_blocks);
1022 
1023   /* Double-queueing. Worklist is for the current iteration,
1024      and pending is for the next. */
1025   while (!bitmap_empty_p (pending))
1026     {
1027       bitmap_iterator bi;
1028       unsigned int index;
1029 
1030       std::swap (pending, worklist);
1031 
1032       EXECUTE_IF_SET_IN_BITMAP (worklist, 0, index, bi)
1033 	{
1034 	  unsigned bb_index;
1035 	  dcount++;
1036 
1037 	  bitmap_clear_bit (pending, index);
1038 	  bb_index = blocks_in_postorder[index];
1039 	  bb = BASIC_BLOCK_FOR_FN (cfun, bb_index);
1040 	  prev_age = last_visit_age[index];
1041 	  if (dir == DF_FORWARD)
1042 	    changed = df_worklist_propagate_forward (dataflow, bb_index,
1043 						     bbindex_to_postorder,
1044 						     pending, considered,
1045 						     prev_age);
1046 	  else
1047 	    changed = df_worklist_propagate_backward (dataflow, bb_index,
1048 						      bbindex_to_postorder,
1049 						      pending, considered,
1050 						      prev_age);
1051 	  last_visit_age[index] = ++age;
1052 	  if (changed)
1053 	    bb->aux = (void *)(ptrdiff_t)age;
1054 	}
1055       bitmap_clear (worklist);
1056     }
1057   for (i = 0; i < n_blocks; i++)
1058     BASIC_BLOCK_FOR_FN (cfun, blocks_in_postorder[i])->aux = NULL;
1059 
1060   BITMAP_FREE (worklist);
1061   BITMAP_FREE (pending);
1062   last_visit_age.release ();
1063 
1064   /* Dump statistics. */
1065   if (dump_file)
1066     fprintf (dump_file, "df_worklist_dataflow_doublequeue:"
1067 	     " n_basic_blocks %d n_edges %d"
1068 	     " count %d (%5.2g)\n",
1069 	     n_basic_blocks_for_fn (cfun), n_edges_for_fn (cfun),
1070 	     dcount, dcount / (float)n_basic_blocks_for_fn (cfun));
1071 }
1072 
1073 /* Worklist-based dataflow solver. It uses sbitmap as a worklist,
1074    with "n"-th bit representing the n-th block in the reverse-postorder order.
1075    The solver is a double-queue algorithm similar to the "double stack" solver
1076    from Cooper, Harvey and Kennedy, "Iterative data-flow analysis, Revisited".
1077    The only significant difference is that the worklist in this implementation
1078    is always sorted in RPO of the CFG visiting direction.  */
1079 
1080 void
1081 df_worklist_dataflow (struct dataflow *dataflow,
1082                       bitmap blocks_to_consider,
1083                       int *blocks_in_postorder,
1084                       int n_blocks)
1085 {
1086   bitmap pending = BITMAP_ALLOC (&df_bitmap_obstack);
1087   bitmap_iterator bi;
1088   unsigned int *bbindex_to_postorder;
1089   int i;
1090   unsigned int index;
1091   enum df_flow_dir dir = dataflow->problem->dir;
1092 
1093   gcc_assert (dir != DF_NONE);
1094 
1095   /* BBINDEX_TO_POSTORDER maps the bb->index to the reverse postorder.  */
1096   bbindex_to_postorder = XNEWVEC (unsigned int,
1097 				  last_basic_block_for_fn (cfun));
1098 
1099   /* Initialize the array to an out-of-bound value.  */
1100   for (i = 0; i < last_basic_block_for_fn (cfun); i++)
1101     bbindex_to_postorder[i] = last_basic_block_for_fn (cfun);
1102 
1103   /* Initialize the considered map.  */
1104   auto_sbitmap considered (last_basic_block_for_fn (cfun));
1105   bitmap_clear (considered);
1106   EXECUTE_IF_SET_IN_BITMAP (blocks_to_consider, 0, index, bi)
1107     {
1108       bitmap_set_bit (considered, index);
1109     }
1110 
1111   /* Initialize the mapping of block index to postorder.  */
1112   for (i = 0; i < n_blocks; i++)
1113     {
1114       bbindex_to_postorder[blocks_in_postorder[i]] = i;
1115       /* Add all blocks to the worklist.  */
1116       bitmap_set_bit (pending, i);
1117     }
1118 
1119   /* Initialize the problem. */
1120   if (dataflow->problem->init_fun)
1121     dataflow->problem->init_fun (blocks_to_consider);
1122 
1123   /* Solve it.  */
1124   df_worklist_dataflow_doublequeue (dataflow, pending, considered,
1125 				    blocks_in_postorder,
1126 				    bbindex_to_postorder,
1127 				    n_blocks);
1128   free (bbindex_to_postorder);
1129 }
1130 
1131 
1132 /* Remove the entries not in BLOCKS from the LIST of length LEN, preserving
1133    the order of the remaining entries.  Returns the length of the resulting
1134    list.  */
1135 
1136 static unsigned
1137 df_prune_to_subcfg (int list[], unsigned len, bitmap blocks)
1138 {
1139   unsigned act, last;
1140 
1141   for (act = 0, last = 0; act < len; act++)
1142     if (bitmap_bit_p (blocks, list[act]))
1143       list[last++] = list[act];
1144 
1145   return last;
1146 }
1147 
1148 
1149 /* Execute dataflow analysis on a single dataflow problem.
1150 
1151    BLOCKS_TO_CONSIDER are the blocks whose solution can either be
1152    examined or will be computed.  For calls from DF_ANALYZE, this is
1153    the set of blocks that has been passed to DF_SET_BLOCKS.
1154 */
1155 
1156 void
1157 df_analyze_problem (struct dataflow *dflow,
1158 		    bitmap blocks_to_consider,
1159 		    int *postorder, int n_blocks)
1160 {
1161   timevar_push (dflow->problem->tv_id);
1162 
1163   /* (Re)Allocate the datastructures necessary to solve the problem.  */
1164   if (dflow->problem->alloc_fun)
1165     dflow->problem->alloc_fun (blocks_to_consider);
1166 
1167 #ifdef ENABLE_DF_CHECKING
1168   if (dflow->problem->verify_start_fun)
1169     dflow->problem->verify_start_fun ();
1170 #endif
1171 
1172   /* Set up the problem and compute the local information.  */
1173   if (dflow->problem->local_compute_fun)
1174     dflow->problem->local_compute_fun (blocks_to_consider);
1175 
1176   /* Solve the equations.  */
1177   if (dflow->problem->dataflow_fun)
1178     dflow->problem->dataflow_fun (dflow, blocks_to_consider,
1179 				  postorder, n_blocks);
1180 
1181   /* Massage the solution.  */
1182   if (dflow->problem->finalize_fun)
1183     dflow->problem->finalize_fun (blocks_to_consider);
1184 
1185 #ifdef ENABLE_DF_CHECKING
1186   if (dflow->problem->verify_end_fun)
1187     dflow->problem->verify_end_fun ();
1188 #endif
1189 
1190   timevar_pop (dflow->problem->tv_id);
1191 
1192   dflow->computed = true;
1193 }
1194 
1195 
1196 /* Analyze dataflow info.  */
1197 
1198 static void
1199 df_analyze_1 (void)
1200 {
1201   int i;
1202 
1203   /* These should be the same.  */
1204   gcc_assert (df->n_blocks == df->n_blocks_inverted);
1205 
1206   /* We need to do this before the df_verify_all because this is
1207      not kept incrementally up to date.  */
1208   df_compute_regs_ever_live (false);
1209   df_process_deferred_rescans ();
1210 
1211   if (dump_file)
1212     fprintf (dump_file, "df_analyze called\n");
1213 
1214 #ifndef ENABLE_DF_CHECKING
1215   if (df->changeable_flags & DF_VERIFY_SCHEDULED)
1216 #endif
1217     df_verify ();
1218 
1219   /* Skip over the DF_SCAN problem. */
1220   for (i = 1; i < df->num_problems_defined; i++)
1221     {
1222       struct dataflow *dflow = df->problems_in_order[i];
1223       if (dflow->solutions_dirty)
1224         {
1225           if (dflow->problem->dir == DF_FORWARD)
1226             df_analyze_problem (dflow,
1227                                 df->blocks_to_analyze,
1228                                 df->postorder_inverted,
1229                                 df->n_blocks_inverted);
1230           else
1231             df_analyze_problem (dflow,
1232                                 df->blocks_to_analyze,
1233                                 df->postorder,
1234                                 df->n_blocks);
1235         }
1236     }
1237 
1238   if (!df->analyze_subset)
1239     {
1240       BITMAP_FREE (df->blocks_to_analyze);
1241       df->blocks_to_analyze = NULL;
1242     }
1243 
1244 #ifdef DF_DEBUG_CFG
1245   df_set_clean_cfg ();
1246 #endif
1247 }
1248 
1249 /* Analyze dataflow info.  */
1250 
1251 void
1252 df_analyze (void)
1253 {
1254   bitmap current_all_blocks = BITMAP_ALLOC (&df_bitmap_obstack);
1255   int i;
1256 
1257   free (df->postorder);
1258   free (df->postorder_inverted);
1259   df->postorder = XNEWVEC (int, last_basic_block_for_fn (cfun));
1260   df->postorder_inverted = XNEWVEC (int, last_basic_block_for_fn (cfun));
1261   df->n_blocks = post_order_compute (df->postorder, true, true);
1262   df->n_blocks_inverted = inverted_post_order_compute (df->postorder_inverted);
1263 
1264   for (i = 0; i < df->n_blocks; i++)
1265     bitmap_set_bit (current_all_blocks, df->postorder[i]);
1266 
1267   if (flag_checking)
1268     {
1269       /* Verify that POSTORDER_INVERTED only contains blocks reachable from
1270 	 the ENTRY block.  */
1271       for (i = 0; i < df->n_blocks_inverted; i++)
1272 	gcc_assert (bitmap_bit_p (current_all_blocks,
1273 				  df->postorder_inverted[i]));
1274     }
1275 
1276   /* Make sure that we have pruned any unreachable blocks from these
1277      sets.  */
1278   if (df->analyze_subset)
1279     {
1280       bitmap_and_into (df->blocks_to_analyze, current_all_blocks);
1281       df->n_blocks = df_prune_to_subcfg (df->postorder,
1282 					 df->n_blocks, df->blocks_to_analyze);
1283       df->n_blocks_inverted = df_prune_to_subcfg (df->postorder_inverted,
1284 						  df->n_blocks_inverted,
1285 						  df->blocks_to_analyze);
1286       BITMAP_FREE (current_all_blocks);
1287     }
1288   else
1289     {
1290       df->blocks_to_analyze = current_all_blocks;
1291       current_all_blocks = NULL;
1292     }
1293 
1294   df_analyze_1 ();
1295 }
1296 
1297 /* Compute the reverse top sort order of the sub-CFG specified by LOOP.
1298    Returns the number of blocks which is always loop->num_nodes.  */
1299 
1300 static int
1301 loop_post_order_compute (int *post_order, struct loop *loop)
1302 {
1303   edge_iterator *stack;
1304   int sp;
1305   int post_order_num = 0;
1306   bitmap visited;
1307 
1308   /* Allocate stack for back-tracking up CFG.  */
1309   stack = XNEWVEC (edge_iterator, loop->num_nodes + 1);
1310   sp = 0;
1311 
1312   /* Allocate bitmap to track nodes that have been visited.  */
1313   visited = BITMAP_ALLOC (NULL);
1314 
1315   /* Push the first edge on to the stack.  */
1316   stack[sp++] = ei_start (loop_preheader_edge (loop)->src->succs);
1317 
1318   while (sp)
1319     {
1320       edge_iterator ei;
1321       basic_block src;
1322       basic_block dest;
1323 
1324       /* Look at the edge on the top of the stack.  */
1325       ei = stack[sp - 1];
1326       src = ei_edge (ei)->src;
1327       dest = ei_edge (ei)->dest;
1328 
1329       /* Check if the edge destination has been visited yet and mark it
1330          if not so.  */
1331       if (flow_bb_inside_loop_p (loop, dest)
1332 	  && bitmap_set_bit (visited, dest->index))
1333 	{
1334 	  if (EDGE_COUNT (dest->succs) > 0)
1335 	    /* Since the DEST node has been visited for the first
1336 	       time, check its successors.  */
1337 	    stack[sp++] = ei_start (dest->succs);
1338 	  else
1339 	    post_order[post_order_num++] = dest->index;
1340 	}
1341       else
1342 	{
1343 	  if (ei_one_before_end_p (ei)
1344 	      && src != loop_preheader_edge (loop)->src)
1345 	    post_order[post_order_num++] = src->index;
1346 
1347 	  if (!ei_one_before_end_p (ei))
1348 	    ei_next (&stack[sp - 1]);
1349 	  else
1350 	    sp--;
1351 	}
1352     }
1353 
1354   free (stack);
1355   BITMAP_FREE (visited);
1356 
1357   return post_order_num;
1358 }
1359 
1360 /* Compute the reverse top sort order of the inverted sub-CFG specified
1361    by LOOP.  Returns the number of blocks which is always loop->num_nodes.  */
1362 
1363 static int
1364 loop_inverted_post_order_compute (int *post_order, struct loop *loop)
1365 {
1366   basic_block bb;
1367   edge_iterator *stack;
1368   int sp;
1369   int post_order_num = 0;
1370   bitmap visited;
1371 
1372   /* Allocate stack for back-tracking up CFG.  */
1373   stack = XNEWVEC (edge_iterator, loop->num_nodes + 1);
1374   sp = 0;
1375 
1376   /* Allocate bitmap to track nodes that have been visited.  */
1377   visited = BITMAP_ALLOC (NULL);
1378 
1379   /* Put all latches into the initial work list.  In theory we'd want
1380      to start from loop exits but then we'd have the special case of
1381      endless loops.  It doesn't really matter for DF iteration order and
1382      handling latches last is probably even better.  */
1383   stack[sp++] = ei_start (loop->header->preds);
1384   bitmap_set_bit (visited, loop->header->index);
1385 
1386   /* The inverted traversal loop. */
1387   while (sp)
1388     {
1389       edge_iterator ei;
1390       basic_block pred;
1391 
1392       /* Look at the edge on the top of the stack.  */
1393       ei = stack[sp - 1];
1394       bb = ei_edge (ei)->dest;
1395       pred = ei_edge (ei)->src;
1396 
1397       /* Check if the predecessor has been visited yet and mark it
1398 	 if not so.  */
1399       if (flow_bb_inside_loop_p (loop, pred)
1400 	  && bitmap_set_bit (visited, pred->index))
1401 	{
1402 	  if (EDGE_COUNT (pred->preds) > 0)
1403 	    /* Since the predecessor node has been visited for the first
1404 	       time, check its predecessors.  */
1405 	    stack[sp++] = ei_start (pred->preds);
1406 	  else
1407 	    post_order[post_order_num++] = pred->index;
1408 	}
1409       else
1410 	{
1411 	  if (flow_bb_inside_loop_p (loop, bb)
1412 	      && ei_one_before_end_p (ei))
1413 	    post_order[post_order_num++] = bb->index;
1414 
1415 	  if (!ei_one_before_end_p (ei))
1416 	    ei_next (&stack[sp - 1]);
1417 	  else
1418 	    sp--;
1419 	}
1420     }
1421 
1422   free (stack);
1423   BITMAP_FREE (visited);
1424   return post_order_num;
1425 }
1426 
1427 
1428 /* Analyze dataflow info for the basic blocks contained in LOOP.  */
1429 
1430 void
1431 df_analyze_loop (struct loop *loop)
1432 {
1433   free (df->postorder);
1434   free (df->postorder_inverted);
1435 
1436   df->postorder = XNEWVEC (int, loop->num_nodes);
1437   df->postorder_inverted = XNEWVEC (int, loop->num_nodes);
1438   df->n_blocks = loop_post_order_compute (df->postorder, loop);
1439   df->n_blocks_inverted
1440     = loop_inverted_post_order_compute (df->postorder_inverted, loop);
1441   gcc_assert ((unsigned) df->n_blocks == loop->num_nodes);
1442   gcc_assert ((unsigned) df->n_blocks_inverted == loop->num_nodes);
1443 
1444   bitmap blocks = BITMAP_ALLOC (&df_bitmap_obstack);
1445   for (int i = 0; i < df->n_blocks; ++i)
1446     bitmap_set_bit (blocks, df->postorder[i]);
1447   df_set_blocks (blocks);
1448   BITMAP_FREE (blocks);
1449 
1450   df_analyze_1 ();
1451 }
1452 
1453 
1454 /* Return the number of basic blocks from the last call to df_analyze.  */
1455 
1456 int
1457 df_get_n_blocks (enum df_flow_dir dir)
1458 {
1459   gcc_assert (dir != DF_NONE);
1460 
1461   if (dir == DF_FORWARD)
1462     {
1463       gcc_assert (df->postorder_inverted);
1464       return df->n_blocks_inverted;
1465     }
1466 
1467   gcc_assert (df->postorder);
1468   return df->n_blocks;
1469 }
1470 
1471 
1472 /* Return a pointer to the array of basic blocks in the reverse postorder.
1473    Depending on the direction of the dataflow problem,
1474    it returns either the usual reverse postorder array
1475    or the reverse postorder of inverted traversal. */
1476 int *
1477 df_get_postorder (enum df_flow_dir dir)
1478 {
1479   gcc_assert (dir != DF_NONE);
1480 
1481   if (dir == DF_FORWARD)
1482     {
1483       gcc_assert (df->postorder_inverted);
1484       return df->postorder_inverted;
1485     }
1486   gcc_assert (df->postorder);
1487   return df->postorder;
1488 }
1489 
1490 static struct df_problem user_problem;
1491 static struct dataflow user_dflow;
1492 
1493 /* Interface for calling iterative dataflow with user defined
1494    confluence and transfer functions.  All that is necessary is to
1495    supply DIR, a direction, CONF_FUN_0, a confluence function for
1496    blocks with no logical preds (or NULL), CONF_FUN_N, the normal
1497    confluence function, TRANS_FUN, the basic block transfer function,
1498    and BLOCKS, the set of blocks to examine, POSTORDER the blocks in
1499    postorder, and N_BLOCKS, the number of blocks in POSTORDER. */
1500 
1501 void
1502 df_simple_dataflow (enum df_flow_dir dir,
1503 		    df_init_function init_fun,
1504 		    df_confluence_function_0 con_fun_0,
1505 		    df_confluence_function_n con_fun_n,
1506 		    df_transfer_function trans_fun,
1507 		    bitmap blocks, int * postorder, int n_blocks)
1508 {
1509   memset (&user_problem, 0, sizeof (struct df_problem));
1510   user_problem.dir = dir;
1511   user_problem.init_fun = init_fun;
1512   user_problem.con_fun_0 = con_fun_0;
1513   user_problem.con_fun_n = con_fun_n;
1514   user_problem.trans_fun = trans_fun;
1515   user_dflow.problem = &user_problem;
1516   df_worklist_dataflow (&user_dflow, blocks, postorder, n_blocks);
1517 }
1518 
1519 
1520 
1521 /*----------------------------------------------------------------------------
1522    Functions to support limited incremental change.
1523 ----------------------------------------------------------------------------*/
1524 
1525 
1526 /* Get basic block info.  */
1527 
1528 static void *
1529 df_get_bb_info (struct dataflow *dflow, unsigned int index)
1530 {
1531   if (dflow->block_info == NULL)
1532     return NULL;
1533   if (index >= dflow->block_info_size)
1534     return NULL;
1535   return (void *)((char *)dflow->block_info
1536 		  + index * dflow->problem->block_info_elt_size);
1537 }
1538 
1539 
1540 /* Set basic block info.  */
1541 
1542 static void
1543 df_set_bb_info (struct dataflow *dflow, unsigned int index,
1544 		void *bb_info)
1545 {
1546   gcc_assert (dflow->block_info);
1547   memcpy ((char *)dflow->block_info
1548 	  + index * dflow->problem->block_info_elt_size,
1549 	  bb_info, dflow->problem->block_info_elt_size);
1550 }
1551 
1552 
1553 /* Clear basic block info.  */
1554 
1555 static void
1556 df_clear_bb_info (struct dataflow *dflow, unsigned int index)
1557 {
1558   gcc_assert (dflow->block_info);
1559   gcc_assert (dflow->block_info_size > index);
1560   memset ((char *)dflow->block_info
1561 	  + index * dflow->problem->block_info_elt_size,
1562 	  0, dflow->problem->block_info_elt_size);
1563 }
1564 
1565 
1566 /* Mark the solutions as being out of date.  */
1567 
1568 void
1569 df_mark_solutions_dirty (void)
1570 {
1571   if (df)
1572     {
1573       int p;
1574       for (p = 1; p < df->num_problems_defined; p++)
1575 	df->problems_in_order[p]->solutions_dirty = true;
1576     }
1577 }
1578 
1579 
1580 /* Return true if BB needs it's transfer functions recomputed.  */
1581 
1582 bool
1583 df_get_bb_dirty (basic_block bb)
1584 {
1585   return bitmap_bit_p ((df_live
1586 			? df_live : df_lr)->out_of_date_transfer_functions,
1587 		       bb->index);
1588 }
1589 
1590 
1591 /* Mark BB as needing it's transfer functions as being out of
1592    date.  */
1593 
1594 void
1595 df_set_bb_dirty (basic_block bb)
1596 {
1597   bb->flags |= BB_MODIFIED;
1598   if (df)
1599     {
1600       int p;
1601       for (p = 1; p < df->num_problems_defined; p++)
1602 	{
1603 	  struct dataflow *dflow = df->problems_in_order[p];
1604 	  if (dflow->out_of_date_transfer_functions)
1605 	    bitmap_set_bit (dflow->out_of_date_transfer_functions, bb->index);
1606 	}
1607       df_mark_solutions_dirty ();
1608     }
1609 }
1610 
1611 
1612 /* Grow the bb_info array.  */
1613 
1614 void
1615 df_grow_bb_info (struct dataflow *dflow)
1616 {
1617   unsigned int new_size = last_basic_block_for_fn (cfun) + 1;
1618   if (dflow->block_info_size < new_size)
1619     {
1620       new_size += new_size / 4;
1621       dflow->block_info
1622          = (void *)XRESIZEVEC (char, (char *)dflow->block_info,
1623 			       new_size
1624 			       * dflow->problem->block_info_elt_size);
1625       memset ((char *)dflow->block_info
1626 	      + dflow->block_info_size
1627 	      * dflow->problem->block_info_elt_size,
1628 	      0,
1629 	      (new_size - dflow->block_info_size)
1630 	      * dflow->problem->block_info_elt_size);
1631       dflow->block_info_size = new_size;
1632     }
1633 }
1634 
1635 
1636 /* Clear the dirty bits.  This is called from places that delete
1637    blocks.  */
1638 static void
1639 df_clear_bb_dirty (basic_block bb)
1640 {
1641   int p;
1642   for (p = 1; p < df->num_problems_defined; p++)
1643     {
1644       struct dataflow *dflow = df->problems_in_order[p];
1645       if (dflow->out_of_date_transfer_functions)
1646 	bitmap_clear_bit (dflow->out_of_date_transfer_functions, bb->index);
1647     }
1648 }
1649 
1650 /* Called from the rtl_compact_blocks to reorganize the problems basic
1651    block info.  */
1652 
1653 void
1654 df_compact_blocks (void)
1655 {
1656   int i, p;
1657   basic_block bb;
1658   void *problem_temps;
1659   bitmap_head tmp;
1660 
1661   bitmap_initialize (&tmp, &df_bitmap_obstack);
1662   for (p = 0; p < df->num_problems_defined; p++)
1663     {
1664       struct dataflow *dflow = df->problems_in_order[p];
1665 
1666       /* Need to reorganize the out_of_date_transfer_functions for the
1667 	 dflow problem.  */
1668       if (dflow->out_of_date_transfer_functions)
1669 	{
1670 	  bitmap_copy (&tmp, dflow->out_of_date_transfer_functions);
1671 	  bitmap_clear (dflow->out_of_date_transfer_functions);
1672 	  if (bitmap_bit_p (&tmp, ENTRY_BLOCK))
1673 	    bitmap_set_bit (dflow->out_of_date_transfer_functions, ENTRY_BLOCK);
1674 	  if (bitmap_bit_p (&tmp, EXIT_BLOCK))
1675 	    bitmap_set_bit (dflow->out_of_date_transfer_functions, EXIT_BLOCK);
1676 
1677 	  i = NUM_FIXED_BLOCKS;
1678 	  FOR_EACH_BB_FN (bb, cfun)
1679 	    {
1680 	      if (bitmap_bit_p (&tmp, bb->index))
1681 		bitmap_set_bit (dflow->out_of_date_transfer_functions, i);
1682 	      i++;
1683 	    }
1684 	}
1685 
1686       /* Now shuffle the block info for the problem.  */
1687       if (dflow->problem->free_bb_fun)
1688 	{
1689 	  int size = (last_basic_block_for_fn (cfun)
1690 		      * dflow->problem->block_info_elt_size);
1691 	  problem_temps = XNEWVAR (char, size);
1692 	  df_grow_bb_info (dflow);
1693 	  memcpy (problem_temps, dflow->block_info, size);
1694 
1695 	  /* Copy the bb info from the problem tmps to the proper
1696 	     place in the block_info vector.  Null out the copied
1697 	     item.  The entry and exit blocks never move.  */
1698 	  i = NUM_FIXED_BLOCKS;
1699 	  FOR_EACH_BB_FN (bb, cfun)
1700 	    {
1701 	      df_set_bb_info (dflow, i,
1702 			      (char *)problem_temps
1703 			      + bb->index * dflow->problem->block_info_elt_size);
1704 	      i++;
1705 	    }
1706 	  memset ((char *)dflow->block_info
1707 		  + i * dflow->problem->block_info_elt_size, 0,
1708 		  (last_basic_block_for_fn (cfun) - i)
1709 		  * dflow->problem->block_info_elt_size);
1710 	  free (problem_temps);
1711 	}
1712     }
1713 
1714   /* Shuffle the bits in the basic_block indexed arrays.  */
1715 
1716   if (df->blocks_to_analyze)
1717     {
1718       if (bitmap_bit_p (&tmp, ENTRY_BLOCK))
1719 	bitmap_set_bit (df->blocks_to_analyze, ENTRY_BLOCK);
1720       if (bitmap_bit_p (&tmp, EXIT_BLOCK))
1721 	bitmap_set_bit (df->blocks_to_analyze, EXIT_BLOCK);
1722       bitmap_copy (&tmp, df->blocks_to_analyze);
1723       bitmap_clear (df->blocks_to_analyze);
1724       i = NUM_FIXED_BLOCKS;
1725       FOR_EACH_BB_FN (bb, cfun)
1726 	{
1727 	  if (bitmap_bit_p (&tmp, bb->index))
1728 	    bitmap_set_bit (df->blocks_to_analyze, i);
1729 	  i++;
1730 	}
1731     }
1732 
1733   bitmap_clear (&tmp);
1734 
1735   i = NUM_FIXED_BLOCKS;
1736   FOR_EACH_BB_FN (bb, cfun)
1737     {
1738       SET_BASIC_BLOCK_FOR_FN (cfun, i, bb);
1739       bb->index = i;
1740       i++;
1741     }
1742 
1743   gcc_assert (i == n_basic_blocks_for_fn (cfun));
1744 
1745   for (; i < last_basic_block_for_fn (cfun); i++)
1746     SET_BASIC_BLOCK_FOR_FN (cfun, i, NULL);
1747 
1748 #ifdef DF_DEBUG_CFG
1749   if (!df_lr->solutions_dirty)
1750     df_set_clean_cfg ();
1751 #endif
1752 }
1753 
1754 
1755 /* Shove NEW_BLOCK in at OLD_INDEX.  Called from ifcvt to hack a
1756    block.  There is no excuse for people to do this kind of thing.  */
1757 
1758 void
1759 df_bb_replace (int old_index, basic_block new_block)
1760 {
1761   int new_block_index = new_block->index;
1762   int p;
1763 
1764   if (dump_file)
1765     fprintf (dump_file, "shoving block %d into %d\n", new_block_index, old_index);
1766 
1767   gcc_assert (df);
1768   gcc_assert (BASIC_BLOCK_FOR_FN (cfun, old_index) == NULL);
1769 
1770   for (p = 0; p < df->num_problems_defined; p++)
1771     {
1772       struct dataflow *dflow = df->problems_in_order[p];
1773       if (dflow->block_info)
1774 	{
1775 	  df_grow_bb_info (dflow);
1776 	  df_set_bb_info (dflow, old_index,
1777 			  df_get_bb_info (dflow, new_block_index));
1778 	}
1779     }
1780 
1781   df_clear_bb_dirty (new_block);
1782   SET_BASIC_BLOCK_FOR_FN (cfun, old_index, new_block);
1783   new_block->index = old_index;
1784   df_set_bb_dirty (BASIC_BLOCK_FOR_FN (cfun, old_index));
1785   SET_BASIC_BLOCK_FOR_FN (cfun, new_block_index, NULL);
1786 }
1787 
1788 
1789 /* Free all of the per basic block dataflow from all of the problems.
1790    This is typically called before a basic block is deleted and the
1791    problem will be reanalyzed.  */
1792 
1793 void
1794 df_bb_delete (int bb_index)
1795 {
1796   basic_block bb = BASIC_BLOCK_FOR_FN (cfun, bb_index);
1797   int i;
1798 
1799   if (!df)
1800     return;
1801 
1802   for (i = 0; i < df->num_problems_defined; i++)
1803     {
1804       struct dataflow *dflow = df->problems_in_order[i];
1805       if (dflow->problem->free_bb_fun)
1806 	{
1807 	  void *bb_info = df_get_bb_info (dflow, bb_index);
1808 	  if (bb_info)
1809 	    {
1810 	      dflow->problem->free_bb_fun (bb, bb_info);
1811 	      df_clear_bb_info (dflow, bb_index);
1812 	    }
1813 	}
1814     }
1815   df_clear_bb_dirty (bb);
1816   df_mark_solutions_dirty ();
1817 }
1818 
1819 
1820 /* Verify that there is a place for everything and everything is in
1821    its place.  This is too expensive to run after every pass in the
1822    mainline.  However this is an excellent debugging tool if the
1823    dataflow information is not being updated properly.  You can just
1824    sprinkle calls in until you find the place that is changing an
1825    underlying structure without calling the proper updating
1826    routine.  */
1827 
1828 void
1829 df_verify (void)
1830 {
1831   df_scan_verify ();
1832 #ifdef ENABLE_DF_CHECKING
1833   df_lr_verify_transfer_functions ();
1834   if (df_live)
1835     df_live_verify_transfer_functions ();
1836 #endif
1837   df->changeable_flags &= ~DF_VERIFY_SCHEDULED;
1838 }
1839 
1840 #ifdef DF_DEBUG_CFG
1841 
1842 /* Compute an array of ints that describes the cfg.  This can be used
1843    to discover places where the cfg is modified by the appropriate
1844    calls have not been made to the keep df informed.  The internals of
1845    this are unexciting, the key is that two instances of this can be
1846    compared to see if any changes have been made to the cfg.  */
1847 
1848 static int *
1849 df_compute_cfg_image (void)
1850 {
1851   basic_block bb;
1852   int size = 2 + (2 * n_basic_blocks_for_fn (cfun));
1853   int i;
1854   int * map;
1855 
1856   FOR_ALL_BB_FN (bb, cfun)
1857     {
1858       size += EDGE_COUNT (bb->succs);
1859     }
1860 
1861   map = XNEWVEC (int, size);
1862   map[0] = size;
1863   i = 1;
1864   FOR_ALL_BB_FN (bb, cfun)
1865     {
1866       edge_iterator ei;
1867       edge e;
1868 
1869       map[i++] = bb->index;
1870       FOR_EACH_EDGE (e, ei, bb->succs)
1871 	map[i++] = e->dest->index;
1872       map[i++] = -1;
1873     }
1874   map[i] = -1;
1875   return map;
1876 }
1877 
1878 static int *saved_cfg = NULL;
1879 
1880 
1881 /* This function compares the saved version of the cfg with the
1882    current cfg and aborts if the two are identical.  The function
1883    silently returns if the cfg has been marked as dirty or the two are
1884    the same.  */
1885 
1886 void
1887 df_check_cfg_clean (void)
1888 {
1889   int *new_map;
1890 
1891   if (!df)
1892     return;
1893 
1894   if (df_lr->solutions_dirty)
1895     return;
1896 
1897   if (saved_cfg == NULL)
1898     return;
1899 
1900   new_map = df_compute_cfg_image ();
1901   gcc_assert (memcmp (saved_cfg, new_map, saved_cfg[0] * sizeof (int)) == 0);
1902   free (new_map);
1903 }
1904 
1905 
1906 /* This function builds a cfg fingerprint and squirrels it away in
1907    saved_cfg.  */
1908 
1909 static void
1910 df_set_clean_cfg (void)
1911 {
1912   free (saved_cfg);
1913   saved_cfg = df_compute_cfg_image ();
1914 }
1915 
1916 #endif /* DF_DEBUG_CFG  */
1917 /*----------------------------------------------------------------------------
1918    PUBLIC INTERFACES TO QUERY INFORMATION.
1919 ----------------------------------------------------------------------------*/
1920 
1921 
1922 /* Return first def of REGNO within BB.  */
1923 
1924 df_ref
1925 df_bb_regno_first_def_find (basic_block bb, unsigned int regno)
1926 {
1927   rtx_insn *insn;
1928   df_ref def;
1929 
1930   FOR_BB_INSNS (bb, insn)
1931     {
1932       if (!INSN_P (insn))
1933 	continue;
1934 
1935       FOR_EACH_INSN_DEF (def, insn)
1936 	if (DF_REF_REGNO (def) == regno)
1937 	  return def;
1938     }
1939   return NULL;
1940 }
1941 
1942 
1943 /* Return last def of REGNO within BB.  */
1944 
1945 df_ref
1946 df_bb_regno_last_def_find (basic_block bb, unsigned int regno)
1947 {
1948   rtx_insn *insn;
1949   df_ref def;
1950 
1951   FOR_BB_INSNS_REVERSE (bb, insn)
1952     {
1953       if (!INSN_P (insn))
1954 	continue;
1955 
1956       FOR_EACH_INSN_DEF (def, insn)
1957 	if (DF_REF_REGNO (def) == regno)
1958 	  return def;
1959     }
1960 
1961   return NULL;
1962 }
1963 
1964 /* Finds the reference corresponding to the definition of REG in INSN.
1965    DF is the dataflow object.  */
1966 
1967 df_ref
1968 df_find_def (rtx_insn *insn, rtx reg)
1969 {
1970   df_ref def;
1971 
1972   if (GET_CODE (reg) == SUBREG)
1973     reg = SUBREG_REG (reg);
1974   gcc_assert (REG_P (reg));
1975 
1976   FOR_EACH_INSN_DEF (def, insn)
1977     if (DF_REF_REGNO (def) == REGNO (reg))
1978       return def;
1979 
1980   return NULL;
1981 }
1982 
1983 
1984 /* Return true if REG is defined in INSN, zero otherwise.  */
1985 
1986 bool
1987 df_reg_defined (rtx_insn *insn, rtx reg)
1988 {
1989   return df_find_def (insn, reg) != NULL;
1990 }
1991 
1992 
1993 /* Finds the reference corresponding to the use of REG in INSN.
1994    DF is the dataflow object.  */
1995 
1996 df_ref
1997 df_find_use (rtx_insn *insn, rtx reg)
1998 {
1999   df_ref use;
2000 
2001   if (GET_CODE (reg) == SUBREG)
2002     reg = SUBREG_REG (reg);
2003   gcc_assert (REG_P (reg));
2004 
2005   df_insn_info *insn_info = DF_INSN_INFO_GET (insn);
2006   FOR_EACH_INSN_INFO_USE (use, insn_info)
2007     if (DF_REF_REGNO (use) == REGNO (reg))
2008       return use;
2009   if (df->changeable_flags & DF_EQ_NOTES)
2010     FOR_EACH_INSN_INFO_EQ_USE (use, insn_info)
2011       if (DF_REF_REGNO (use) == REGNO (reg))
2012 	return use;
2013   return NULL;
2014 }
2015 
2016 
2017 /* Return true if REG is referenced in INSN, zero otherwise.  */
2018 
2019 bool
2020 df_reg_used (rtx_insn *insn, rtx reg)
2021 {
2022   return df_find_use (insn, reg) != NULL;
2023 }
2024 
2025 
2026 /*----------------------------------------------------------------------------
2027    Debugging and printing functions.
2028 ----------------------------------------------------------------------------*/
2029 
2030 /* Write information about registers and basic blocks into FILE.
2031    This is part of making a debugging dump.  */
2032 
2033 void
2034 dump_regset (regset r, FILE *outf)
2035 {
2036   unsigned i;
2037   reg_set_iterator rsi;
2038 
2039   if (r == NULL)
2040     {
2041       fputs (" (nil)", outf);
2042       return;
2043     }
2044 
2045   EXECUTE_IF_SET_IN_REG_SET (r, 0, i, rsi)
2046     {
2047       fprintf (outf, " %d", i);
2048       if (i < FIRST_PSEUDO_REGISTER)
2049 	fprintf (outf, " [%s]",
2050 		 reg_names[i]);
2051     }
2052 }
2053 
2054 /* Print a human-readable representation of R on the standard error
2055    stream.  This function is designed to be used from within the
2056    debugger.  */
2057 extern void debug_regset (regset);
2058 DEBUG_FUNCTION void
2059 debug_regset (regset r)
2060 {
2061   dump_regset (r, stderr);
2062   putc ('\n', stderr);
2063 }
2064 
2065 /* Write information about registers and basic blocks into FILE.
2066    This is part of making a debugging dump.  */
2067 
2068 void
2069 df_print_regset (FILE *file, bitmap r)
2070 {
2071   unsigned int i;
2072   bitmap_iterator bi;
2073 
2074   if (r == NULL)
2075     fputs (" (nil)", file);
2076   else
2077     {
2078       EXECUTE_IF_SET_IN_BITMAP (r, 0, i, bi)
2079 	{
2080 	  fprintf (file, " %d", i);
2081 	  if (i < FIRST_PSEUDO_REGISTER)
2082 	    fprintf (file, " [%s]", reg_names[i]);
2083 	}
2084     }
2085   fprintf (file, "\n");
2086 }
2087 
2088 
2089 /* Write information about registers and basic blocks into FILE.  The
2090    bitmap is in the form used by df_byte_lr.  This is part of making a
2091    debugging dump.  */
2092 
2093 void
2094 df_print_word_regset (FILE *file, bitmap r)
2095 {
2096   unsigned int max_reg = max_reg_num ();
2097 
2098   if (r == NULL)
2099     fputs (" (nil)", file);
2100   else
2101     {
2102       unsigned int i;
2103       for (i = FIRST_PSEUDO_REGISTER; i < max_reg; i++)
2104 	{
2105 	  bool found = (bitmap_bit_p (r, 2 * i)
2106 			|| bitmap_bit_p (r, 2 * i + 1));
2107 	  if (found)
2108 	    {
2109 	      int word;
2110 	      const char * sep = "";
2111 	      fprintf (file, " %d", i);
2112 	      fprintf (file, "(");
2113 	      for (word = 0; word < 2; word++)
2114 		if (bitmap_bit_p (r, 2 * i + word))
2115 		  {
2116 		    fprintf (file, "%s%d", sep, word);
2117 		    sep = ", ";
2118 		  }
2119 	      fprintf (file, ")");
2120 	    }
2121 	}
2122     }
2123   fprintf (file, "\n");
2124 }
2125 
2126 
2127 /* Dump dataflow info.  */
2128 
2129 void
2130 df_dump (FILE *file)
2131 {
2132   basic_block bb;
2133   df_dump_start (file);
2134 
2135   FOR_ALL_BB_FN (bb, cfun)
2136     {
2137       df_print_bb_index (bb, file);
2138       df_dump_top (bb, file);
2139       df_dump_bottom (bb, file);
2140     }
2141 
2142   fprintf (file, "\n");
2143 }
2144 
2145 
2146 /* Dump dataflow info for df->blocks_to_analyze.  */
2147 
2148 void
2149 df_dump_region (FILE *file)
2150 {
2151   if (df->blocks_to_analyze)
2152     {
2153       bitmap_iterator bi;
2154       unsigned int bb_index;
2155 
2156       fprintf (file, "\n\nstarting region dump\n");
2157       df_dump_start (file);
2158 
2159       EXECUTE_IF_SET_IN_BITMAP (df->blocks_to_analyze, 0, bb_index, bi)
2160 	{
2161 	  basic_block bb = BASIC_BLOCK_FOR_FN (cfun, bb_index);
2162 	  dump_bb (file, bb, 0, TDF_DETAILS);
2163 	}
2164       fprintf (file, "\n");
2165     }
2166   else
2167     df_dump (file);
2168 }
2169 
2170 
2171 /* Dump the introductory information for each problem defined.  */
2172 
2173 void
2174 df_dump_start (FILE *file)
2175 {
2176   int i;
2177 
2178   if (!df || !file)
2179     return;
2180 
2181   fprintf (file, "\n\n%s\n", current_function_name ());
2182   fprintf (file, "\nDataflow summary:\n");
2183   if (df->blocks_to_analyze)
2184     fprintf (file, "def_info->table_size = %d, use_info->table_size = %d\n",
2185 	     DF_DEFS_TABLE_SIZE (), DF_USES_TABLE_SIZE ());
2186 
2187   for (i = 0; i < df->num_problems_defined; i++)
2188     {
2189       struct dataflow *dflow = df->problems_in_order[i];
2190       if (dflow->computed)
2191 	{
2192 	  df_dump_problem_function fun = dflow->problem->dump_start_fun;
2193 	  if (fun)
2194 	    fun (file);
2195 	}
2196     }
2197 }
2198 
2199 
2200 /* Dump the top or bottom of the block information for BB.  */
2201 static void
2202 df_dump_bb_problem_data (basic_block bb, FILE *file, bool top)
2203 {
2204   int i;
2205 
2206   if (!df || !file)
2207     return;
2208 
2209   for (i = 0; i < df->num_problems_defined; i++)
2210     {
2211       struct dataflow *dflow = df->problems_in_order[i];
2212       if (dflow->computed)
2213 	{
2214 	  df_dump_bb_problem_function bbfun;
2215 
2216 	  if (top)
2217 	    bbfun = dflow->problem->dump_top_fun;
2218 	  else
2219 	    bbfun = dflow->problem->dump_bottom_fun;
2220 
2221 	  if (bbfun)
2222 	    bbfun (bb, file);
2223 	}
2224     }
2225 }
2226 
2227 /* Dump the top of the block information for BB.  */
2228 
2229 void
2230 df_dump_top (basic_block bb, FILE *file)
2231 {
2232   df_dump_bb_problem_data (bb, file, /*top=*/true);
2233 }
2234 
2235 /* Dump the bottom of the block information for BB.  */
2236 
2237 void
2238 df_dump_bottom (basic_block bb, FILE *file)
2239 {
2240   df_dump_bb_problem_data (bb, file, /*top=*/false);
2241 }
2242 
2243 
2244 /* Dump information about INSN just before or after dumping INSN itself.  */
2245 static void
2246 df_dump_insn_problem_data (const rtx_insn *insn, FILE *file, bool top)
2247 {
2248   int i;
2249 
2250   if (!df || !file)
2251     return;
2252 
2253   for (i = 0; i < df->num_problems_defined; i++)
2254     {
2255       struct dataflow *dflow = df->problems_in_order[i];
2256       if (dflow->computed)
2257 	{
2258 	  df_dump_insn_problem_function insnfun;
2259 
2260 	  if (top)
2261 	    insnfun = dflow->problem->dump_insn_top_fun;
2262 	  else
2263 	    insnfun = dflow->problem->dump_insn_bottom_fun;
2264 
2265 	  if (insnfun)
2266 	    insnfun (insn, file);
2267 	}
2268     }
2269 }
2270 
2271 /* Dump information about INSN before dumping INSN itself.  */
2272 
2273 void
2274 df_dump_insn_top (const rtx_insn *insn, FILE *file)
2275 {
2276   df_dump_insn_problem_data (insn,  file, /*top=*/true);
2277 }
2278 
2279 /* Dump information about INSN after dumping INSN itself.  */
2280 
2281 void
2282 df_dump_insn_bottom (const rtx_insn *insn, FILE *file)
2283 {
2284   df_dump_insn_problem_data (insn,  file, /*top=*/false);
2285 }
2286 
2287 
2288 static void
2289 df_ref_dump (df_ref ref, FILE *file)
2290 {
2291   fprintf (file, "%c%d(%d)",
2292 	   DF_REF_REG_DEF_P (ref)
2293 	   ? 'd'
2294 	   : (DF_REF_FLAGS (ref) & DF_REF_IN_NOTE) ? 'e' : 'u',
2295 	   DF_REF_ID (ref),
2296 	   DF_REF_REGNO (ref));
2297 }
2298 
2299 void
2300 df_refs_chain_dump (df_ref ref, bool follow_chain, FILE *file)
2301 {
2302   fprintf (file, "{ ");
2303   for (; ref; ref = DF_REF_NEXT_LOC (ref))
2304     {
2305       df_ref_dump (ref, file);
2306       if (follow_chain)
2307 	df_chain_dump (DF_REF_CHAIN (ref), file);
2308     }
2309   fprintf (file, "}");
2310 }
2311 
2312 
2313 /* Dump either a ref-def or reg-use chain.  */
2314 
2315 void
2316 df_regs_chain_dump (df_ref ref,  FILE *file)
2317 {
2318   fprintf (file, "{ ");
2319   while (ref)
2320     {
2321       df_ref_dump (ref, file);
2322       ref = DF_REF_NEXT_REG (ref);
2323     }
2324   fprintf (file, "}");
2325 }
2326 
2327 
2328 static void
2329 df_mws_dump (struct df_mw_hardreg *mws, FILE *file)
2330 {
2331   for (; mws; mws = DF_MWS_NEXT (mws))
2332     fprintf (file, "mw %c r[%d..%d]\n",
2333 	     DF_MWS_REG_DEF_P (mws) ? 'd' : 'u',
2334 	     mws->start_regno, mws->end_regno);
2335 }
2336 
2337 
2338 static void
2339 df_insn_uid_debug (unsigned int uid,
2340 		   bool follow_chain, FILE *file)
2341 {
2342   fprintf (file, "insn %d luid %d",
2343 	   uid, DF_INSN_UID_LUID (uid));
2344 
2345   if (DF_INSN_UID_DEFS (uid))
2346     {
2347       fprintf (file, " defs ");
2348       df_refs_chain_dump (DF_INSN_UID_DEFS (uid), follow_chain, file);
2349     }
2350 
2351   if (DF_INSN_UID_USES (uid))
2352     {
2353       fprintf (file, " uses ");
2354       df_refs_chain_dump (DF_INSN_UID_USES (uid), follow_chain, file);
2355     }
2356 
2357   if (DF_INSN_UID_EQ_USES (uid))
2358     {
2359       fprintf (file, " eq uses ");
2360       df_refs_chain_dump (DF_INSN_UID_EQ_USES (uid), follow_chain, file);
2361     }
2362 
2363   if (DF_INSN_UID_MWS (uid))
2364     {
2365       fprintf (file, " mws ");
2366       df_mws_dump (DF_INSN_UID_MWS (uid), file);
2367     }
2368   fprintf (file, "\n");
2369 }
2370 
2371 
2372 DEBUG_FUNCTION void
2373 df_insn_debug (rtx_insn *insn, bool follow_chain, FILE *file)
2374 {
2375   df_insn_uid_debug (INSN_UID (insn), follow_chain, file);
2376 }
2377 
2378 DEBUG_FUNCTION void
2379 df_insn_debug_regno (rtx_insn *insn, FILE *file)
2380 {
2381   struct df_insn_info *insn_info = DF_INSN_INFO_GET (insn);
2382 
2383   fprintf (file, "insn %d bb %d luid %d defs ",
2384 	   INSN_UID (insn), BLOCK_FOR_INSN (insn)->index,
2385 	   DF_INSN_INFO_LUID (insn_info));
2386   df_refs_chain_dump (DF_INSN_INFO_DEFS (insn_info), false, file);
2387 
2388   fprintf (file, " uses ");
2389   df_refs_chain_dump (DF_INSN_INFO_USES (insn_info), false, file);
2390 
2391   fprintf (file, " eq_uses ");
2392   df_refs_chain_dump (DF_INSN_INFO_EQ_USES (insn_info), false, file);
2393   fprintf (file, "\n");
2394 }
2395 
2396 DEBUG_FUNCTION void
2397 df_regno_debug (unsigned int regno, FILE *file)
2398 {
2399   fprintf (file, "reg %d defs ", regno);
2400   df_regs_chain_dump (DF_REG_DEF_CHAIN (regno), file);
2401   fprintf (file, " uses ");
2402   df_regs_chain_dump (DF_REG_USE_CHAIN (regno), file);
2403   fprintf (file, " eq_uses ");
2404   df_regs_chain_dump (DF_REG_EQ_USE_CHAIN (regno), file);
2405   fprintf (file, "\n");
2406 }
2407 
2408 
2409 DEBUG_FUNCTION void
2410 df_ref_debug (df_ref ref, FILE *file)
2411 {
2412   fprintf (file, "%c%d ",
2413 	   DF_REF_REG_DEF_P (ref) ? 'd' : 'u',
2414 	   DF_REF_ID (ref));
2415   fprintf (file, "reg %d bb %d insn %d flag %#x type %#x ",
2416 	   DF_REF_REGNO (ref),
2417 	   DF_REF_BBNO (ref),
2418 	   DF_REF_IS_ARTIFICIAL (ref) ? -1 : DF_REF_INSN_UID (ref),
2419 	   DF_REF_FLAGS (ref),
2420 	   DF_REF_TYPE (ref));
2421   if (DF_REF_LOC (ref))
2422     {
2423       if (flag_dump_noaddr)
2424 	fprintf (file, "loc #(#) chain ");
2425       else
2426 	fprintf (file, "loc %p(%p) chain ", (void *)DF_REF_LOC (ref),
2427 		 (void *)*DF_REF_LOC (ref));
2428     }
2429   else
2430     fprintf (file, "chain ");
2431   df_chain_dump (DF_REF_CHAIN (ref), file);
2432   fprintf (file, "\n");
2433 }
2434 
2435 /* Functions for debugging from GDB.  */
2436 
2437 DEBUG_FUNCTION void
2438 debug_df_insn (rtx_insn *insn)
2439 {
2440   df_insn_debug (insn, true, stderr);
2441   debug_rtx (insn);
2442 }
2443 
2444 
2445 DEBUG_FUNCTION void
2446 debug_df_reg (rtx reg)
2447 {
2448   df_regno_debug (REGNO (reg), stderr);
2449 }
2450 
2451 
2452 DEBUG_FUNCTION void
2453 debug_df_regno (unsigned int regno)
2454 {
2455   df_regno_debug (regno, stderr);
2456 }
2457 
2458 
2459 DEBUG_FUNCTION void
2460 debug_df_ref (df_ref ref)
2461 {
2462   df_ref_debug (ref, stderr);
2463 }
2464 
2465 
2466 DEBUG_FUNCTION void
2467 debug_df_defno (unsigned int defno)
2468 {
2469   df_ref_debug (DF_DEFS_GET (defno), stderr);
2470 }
2471 
2472 
2473 DEBUG_FUNCTION void
2474 debug_df_useno (unsigned int defno)
2475 {
2476   df_ref_debug (DF_USES_GET (defno), stderr);
2477 }
2478 
2479 
2480 DEBUG_FUNCTION void
2481 debug_df_chain (struct df_link *link)
2482 {
2483   df_chain_dump (link, stderr);
2484   fputc ('\n', stderr);
2485 }
2486