254 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			254 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
/*
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 * Copyright (c) 2015
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 *	The President and Fellows of Harvard College.
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 *
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 * Redistribution and use in source and binary forms, with or without
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 * modification, are permitted provided that the following conditions
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 * are met:
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 * 1. Redistributions of source code must retain the above copyright
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 *    notice, this list of conditions and the following disclaimer.
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 * 2. Redistributions in binary form must reproduce the above copyright
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 *    notice, this list of conditions and the following disclaimer in the
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 *    documentation and/or other materials provided with the distribution.
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 * 3. Neither the name of the University nor the names of its contributors
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 *    may be used to endorse or promote products derived from this software
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 *    without specific prior written permission.
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 *
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 * THIS SOFTWARE IS PROVIDED BY THE UNIVERSITY AND CONTRIBUTORS ``AS IS'' AND
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 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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 * ARE DISCLAIMED.  IN NO EVENT SHALL THE UNIVERSITY OR CONTRIBUTORS BE LIABLE
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 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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 * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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 * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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 * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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 * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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 * SUCH DAMAGE.
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 */
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/*
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 * bigfork - concurrent VM test that behaves somewhat better than
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 * parallelvm.
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 *
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 * This test is a mixture of forktest and parallelvm: it does nested
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 * forks like forktest, and aimless matrix operations like parallelvm;
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 * the goal is to serve as a performance benchmark more than as a
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 * stress test (though it can be that too) and in particular to
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 * exhibit less timing variance than parallelvm does. The variance is
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 * still fairly high, but the variance of parallelvm is horrific.
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 */
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <unistd.h>
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#include <err.h>
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#include <test/test.h>
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#include <test161/test161.h>
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#define BRANCHES 6
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/*
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 * 6 branches gives 64 procs at the final stage, and we want this to
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 * use about 4M. So each proc's memory load should be about 1/16M or
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 * 64K. Which is 16384 ints, or four 64x64 matrixes.
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 */
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#define DIM 64
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#define PROGRESS_INTERVAL 25000
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static int m1[DIM*DIM], m2[DIM*DIM], m3[DIM*DIM], m4[DIM*DIM];
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static const int right[BRANCHES] = {
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	536763422,
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	478946723,
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	375722852,
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	369910585,
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	328220902,
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	62977821,
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};
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static unsigned failures;
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static
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void
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init(void)
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{
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	unsigned i, j;
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	srandom(73771);
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	for (i=0; i<DIM; i++) {
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		for (j=0; j<DIM; j++) {
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			m1[i*DIM+j] = random() % 11 - 5;
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		}
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		TEST161_LPROGRESS(0);
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	}
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	nprintf("\n");
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}
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static
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void
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add(int *x, const int *a, const int *b)
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{
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	unsigned i, j;
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	for (i=0; i<DIM; i++) {
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		for (j=0; j<DIM; j++) {
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			x[i*DIM+j] = a[i*DIM+j] + b[i*DIM+j];
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		}
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	}
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}
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static
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void
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mul(int *x, const int *a, const int *b)
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{
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	unsigned i, j, k, tot;
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	tot = 0;
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	for (i=0; i<DIM; i++) {
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		for (j=0; j<DIM; j++) {
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			x[i*DIM+j] = 0;
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			for (k=0; k<DIM; k++) {
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				TEST161_LPROGRESS_N(tot, PROGRESS_INTERVAL);
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				tot++;
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				x[i*DIM+j] += a[i*DIM+k] * b[k*DIM+j]; 
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			}
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		}
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	}
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}
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static
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void
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scale(int *x, const int *a, int b)
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{
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	unsigned i, j;
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	for (i=0; i<DIM; i++) {
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		for (j=0; j<DIM; j++) {
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			x[i*DIM+j] = a[i*DIM+j] / b;
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		}
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	}
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}
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static
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void
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grind(void)
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{
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	/*
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	 * compute: m2 = m1*m1, m3 = m2+m1, m4 = m3*m3, m1 = m4 / 2
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	 */
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	 mul(m2, m1, m1);
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	 add(m3, m2, m1);
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	 mul(m4, m3, m3);
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	 scale(m1, m4, 2);
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}
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static
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int
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trace(void)
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{
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	unsigned i;
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	int val = 0;
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	for (i=0; i<DIM; i++) {
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		val += m1[i*DIM+i];
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	}
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	while (val < 0) {
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		val += 0x20000000;
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	}
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	return val % 0x20000000;
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}
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static
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pid_t
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dofork(void)
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{
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	pid_t pid;
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	pid = fork();
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	if (pid < 0) {
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		warn("fork");
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	}
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	return pid;
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}
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static
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void
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dowait(pid_t pid)
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{
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	int status;
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	if (pid == -1) {
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		failures++;
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		return;
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	}
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	if (pid == 0) {
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		exit(failures);
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	}
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	else {
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		// If the child crashes or waitpid returns -1, we don't know how many errors
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		// resulted (if any), but it's an error if we can't tell.
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		if (waitpid(pid, &status, 0) < 0) {
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			warn("waitpid(%d)", pid);
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			failures += 1;
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		}
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		else if (WIFSIGNALED(status)) {
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			warnx("pid %d: signal %d", pid, WTERMSIG(status));
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			failures += 1;
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		}
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		else if (WEXITSTATUS(status) > 0) {
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			failures += WEXITSTATUS(status);
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		}
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	}
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}
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static
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void
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dotest(void)
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{
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	unsigned i, me;
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	pid_t pids[BRANCHES];
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	int t;
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	me = 0;
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	for (i=0; i<BRANCHES; i++) {
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		pids[i] = dofork();
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		if (pids[i] == 0) {
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			me += 1U<<i;
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		}
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		grind();
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		t = trace();
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		if (t == right[i]) {
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			lsay("\nStage %u #%u done: %d\n", i, me, trace());
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		}
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		else {
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			lsay("Stage %u #%u FAILED: got %d, expected %d\n",
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				 i, me, t, right[i]);
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			success(TEST161_FAIL, SECRET, "/testbin/bigfork");
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			failures++;
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		}
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		TEST161_LPROGRESS(0);
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	}
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	for (i=BRANCHES; i-- > 0; ) {
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		dowait(pids[i]);
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	}
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	if (failures > 0) {
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		tprintf("%u failures.\n", failures);
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		success(TEST161_FAIL, SECRET, "/testbin/bigfork");
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	}
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	else {
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		tprintf("Done.\n");
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		success(TEST161_SUCCESS, SECRET, "/testbin/bigfork");
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	}
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}
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int
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main(void)
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{
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	init();
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	dotest();
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	return 0;
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}
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