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diff --git a/deps/jemalloc/test/include/test/SFMT.h b/deps/jemalloc/test/include/test/SFMT.h
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-/*
- * This file derives from SFMT 1.3.3
- * (http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/SFMT/index.html), which was
- * released under the terms of the following license:
- *
- * Copyright (c) 2006,2007 Mutsuo Saito, Makoto Matsumoto and Hiroshima
- * University. All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions are
- * met:
- *
- * * Redistributions of source code must retain the above copyright
- * notice, this list of conditions and the following disclaimer.
- * * 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.
- * * Neither the name of the Hiroshima University nor the names of
- * its contributors may be used to endorse or promote products
- * derived from this software without specific prior written
- * permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS 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 COPYRIGHT
- * OWNER 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.
- */
-/**
- * @file SFMT.h
- *
- * @brief SIMD oriented Fast Mersenne Twister(SFMT) pseudorandom
- * number generator
- *
- * @author Mutsuo Saito (Hiroshima University)
- * @author Makoto Matsumoto (Hiroshima University)
- *
- * Copyright (C) 2006, 2007 Mutsuo Saito, Makoto Matsumoto and Hiroshima
- * University. All rights reserved.
- *
- * The new BSD License is applied to this software.
- * see LICENSE.txt
- *
- * @note We assume that your system has inttypes.h. If your system
- * doesn't have inttypes.h, you have to typedef uint32_t and uint64_t,
- * and you have to define PRIu64 and PRIx64 in this file as follows:
- * @verbatim
- typedef unsigned int uint32_t
- typedef unsigned long long uint64_t
- #define PRIu64 "llu"
- #define PRIx64 "llx"
-@endverbatim
- * uint32_t must be exactly 32-bit unsigned integer type (no more, no
- * less), and uint64_t must be exactly 64-bit unsigned integer type.
- * PRIu64 and PRIx64 are used for printf function to print 64-bit
- * unsigned int and 64-bit unsigned int in hexadecimal format.
- */
-
-#ifndef SFMT_H
-#define SFMT_H
-
-typedef struct sfmt_s sfmt_t;
-
-uint32_t gen_rand32(sfmt_t *ctx);
-uint32_t gen_rand32_range(sfmt_t *ctx, uint32_t limit);
-uint64_t gen_rand64(sfmt_t *ctx);
-uint64_t gen_rand64_range(sfmt_t *ctx, uint64_t limit);
-void fill_array32(sfmt_t *ctx, uint32_t *array, int size);
-void fill_array64(sfmt_t *ctx, uint64_t *array, int size);
-sfmt_t *init_gen_rand(uint32_t seed);
-sfmt_t *init_by_array(uint32_t *init_key, int key_length);
-void fini_gen_rand(sfmt_t *ctx);
-const char *get_idstring(void);
-int get_min_array_size32(void);
-int get_min_array_size64(void);
-
-/* These real versions are due to Isaku Wada */
-/** generates a random number on [0,1]-real-interval */
-static inline double to_real1(uint32_t v) {
- return v * (1.0/4294967295.0);
- /* divided by 2^32-1 */
-}
-
-/** generates a random number on [0,1]-real-interval */
-static inline double genrand_real1(sfmt_t *ctx) {
- return to_real1(gen_rand32(ctx));
-}
-
-/** generates a random number on [0,1)-real-interval */
-static inline double to_real2(uint32_t v) {
- return v * (1.0/4294967296.0);
- /* divided by 2^32 */
-}
-
-/** generates a random number on [0,1)-real-interval */
-static inline double genrand_real2(sfmt_t *ctx) {
- return to_real2(gen_rand32(ctx));
-}
-
-/** generates a random number on (0,1)-real-interval */
-static inline double to_real3(uint32_t v) {
- return (((double)v) + 0.5)*(1.0/4294967296.0);
- /* divided by 2^32 */
-}
-
-/** generates a random number on (0,1)-real-interval */
-static inline double genrand_real3(sfmt_t *ctx) {
- return to_real3(gen_rand32(ctx));
-}
-/** These real versions are due to Isaku Wada */
-
-/** generates a random number on [0,1) with 53-bit resolution*/
-static inline double to_res53(uint64_t v) {
- return v * (1.0/18446744073709551616.0L);
-}
-
-/** generates a random number on [0,1) with 53-bit resolution from two
- * 32 bit integers */
-static inline double to_res53_mix(uint32_t x, uint32_t y) {
- return to_res53(x | ((uint64_t)y << 32));
-}
-
-/** generates a random number on [0,1) with 53-bit resolution
- */
-static inline double genrand_res53(sfmt_t *ctx) {
- return to_res53(gen_rand64(ctx));
-}
-
-/** generates a random number on [0,1) with 53-bit resolution
- using 32bit integer.
- */
-static inline double genrand_res53_mix(sfmt_t *ctx) {
- uint32_t x, y;
-
- x = gen_rand32(ctx);
- y = gen_rand32(ctx);
- return to_res53_mix(x, y);
-}
-#endif