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/* $OpenBSD: fpclassify.c,v 1.1 2008/09/07 20:36:10 martynas Exp $ */
/*-
* Copyright (c) 2003 Mike Barcroft <mike@FreeBSD.org>
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
* SUCH DAMAGE.
*
* $FreeBSD: src/tools/regression/lib/libc/gen/test-fpclassify.c,v 1.3 2003/03/27 05:32:28 das Exp $
*/
#include <assert.h>
#include <float.h>
#include <math.h>
#include <stdlib.h>
int
main(void)
{
assert(fpclassify((float)0) == FP_ZERO);
assert(fpclassify((float)-0.0) == FP_ZERO);
assert(fpclassify((float)1) == FP_NORMAL);
assert(fpclassify((float)1000) == FP_NORMAL);
#ifndef __alpha__
assert(fpclassify(0x1.2p-150f) == FP_SUBNORMAL);
#endif /* !__alpha__ */
assert(fpclassify(HUGE_VALF) == FP_INFINITE);
assert(fpclassify((float)HUGE_VAL) == FP_INFINITE);
assert(fpclassify((float)HUGE_VALL) == FP_INFINITE);
assert(fpclassify(NAN) == FP_NAN);
assert(fpclassify((double)0) == FP_ZERO);
assert(fpclassify((double)-0) == FP_ZERO);
assert(fpclassify((double)1) == FP_NORMAL);
assert(fpclassify((double)1000) == FP_NORMAL);
#ifndef __alpha__
assert(fpclassify(0x1.2p-1075) == FP_SUBNORMAL);
#endif /* !__alpha__ */
assert(fpclassify(HUGE_VAL) == FP_INFINITE);
assert(fpclassify((double)HUGE_VALF) == FP_INFINITE);
assert(fpclassify((double)HUGE_VALL) == FP_INFINITE);
assert(fpclassify((double)NAN) == FP_NAN);
assert(fpclassify((long double)0) == FP_ZERO);
assert(fpclassify((long double)-0.0) == FP_ZERO);
assert(fpclassify((long double)1) == FP_NORMAL);
assert(fpclassify((long double)1000) == FP_NORMAL);
#if (LDBL_MANT_DIG > DBL_MANT_DIG)
assert(fpclassify(0x1.2p-16383L) == FP_SUBNORMAL);
#endif /* (LDBL_MANT_DIG > DBL_MANT_DIG) */
assert(fpclassify(HUGE_VALL) == FP_INFINITE);
assert(fpclassify((long double)HUGE_VALF) == FP_INFINITE);
assert(fpclassify((long double)HUGE_VAL) == FP_INFINITE);
assert(fpclassify((long double)NAN) == FP_NAN);
return (0);
}
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