hashstat.h
来自「开放源码的编译器open watcom 1.6.0版的源代码」· C头文件 代码 · 共 162 行
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162 行
/****************************************************************************
*
* Open Watcom Project
*
* Portions Copyright (c) 1983-2002 Sybase, Inc. All Rights Reserved.
*
* ========================================================================
*
* This file contains Original Code and/or Modifications of Original
* Code as defined in and that are subject to the Sybase Open Watcom
* Public License version 1.0 (the 'License'). You may not use this file
* except in compliance with the License. BY USING THIS FILE YOU AGREE TO
* ALL TERMS AND CONDITIONS OF THE LICENSE. A copy of the License is
* provided with the Original Code and Modifications, and is also
* available at www.sybase.com/developer/opensource.
*
* The Original Code and all software distributed under the License are
* distributed on an 'AS IS' basis, WITHOUT WARRANTY OF ANY KIND, EITHER
* EXPRESS OR IMPLIED, AND SYBASE AND ALL CONTRIBUTORS HEREBY DISCLAIM
* ALL SUCH WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, QUIET ENJOYMENT OR
* NON-INFRINGEMENT. Please see the License for the specific language
* governing rights and limitations under the License.
*
* ========================================================================
*
* Description: WHEN YOU FIGURE OUT WHAT THIS FILE DOES, PLEASE
* DESCRIBE IT HERE!
*
****************************************************************************/
template <class Type>
class StatsHashSet : public WCValHashSet< Type > {
public:
inline StatsHashSet( unsigned (*fn)( const Type & )
, unsigned buckets = WC_DEFAULT_HASH_SIZE
) : WCValHashSet( fn, buckets ) {};
inline StatsHashSet( unsigned (*fn)( const Type & )
, unsigned buckets
, void * (*user_alloc)( size_t )
, void (*user_dealloc)( void *, size_t )
) : WCValHashSet( fn, buckets
, user_alloc, user_dealloc ) {};
inline unsigned num_in_bucket( unsigned bucket ) {
if( bucket < num_buckets ) {
return( hash_array[ bucket ].entries() );
} else {
return( -1 );
}
}
unsigned max_in_bucket() {
unsigned max = 0;
unsigned in_bucket;
for( int i = 0; i < num_buckets; i++ ) {
in_bucket = hash_array[ i ].entries();
if( in_bucket > max ) {
max = in_bucket;
}
}
return( max );
}
unsigned min_in_bucket() {
unsigned min = 0xFFFF;
unsigned in_bucket;
for( int i = 0; i < num_buckets; i++ ) {
in_bucket = hash_array[ i ].entries();
if( in_bucket < min ) {
min = in_bucket;
}
}
return( min );
}
double average_in_bucket() {
return( (double)num_entries / (double)num_buckets );
}
double std_dev_in_buckets() {
double sum_of_sq = 0;
double diff;
double mean = average_in_bucket();
for( int i = 0; i < num_buckets; i++ ) {
diff = hash_array[ i ].entries() - mean;
sum_of_sq += diff * diff;
}
return( sqrt( sum_of_sq / num_buckets ) );
};
};
template <class Type>
class PtrStatsHashSet : public WCPtrHashSet< Type > {
public:
inline PtrStatsHashSet( unsigned (*fn)( const Type & )
, unsigned buckets = WC_DEFAULT_HASH_SIZE
) : WCPtrHashSet( fn, buckets ) {};
inline PtrStatsHashSet( unsigned (*fn)( const Type & )
, unsigned buckets
, void * (*user_alloc)( size_t )
, void (*user_dealloc)( void *, size_t )
) : WCPtrHashSet( fn, buckets
, user_alloc, user_dealloc ) {};
inline unsigned num_in_bucket( unsigned bucket ) {
if( bucket < num_buckets ) {
return( hash_array[ bucket ].entries() );
} else {
return( -1 );
}
}
unsigned max_in_bucket() {
unsigned max = 0;
unsigned in_bucket;
for( int i = 0; i < num_buckets; i++ ) {
in_bucket = hash_array[ i ].entries();
if( in_bucket > max ) {
max = in_bucket;
}
}
return( max );
}
unsigned min_in_bucket() {
unsigned min = 0xFFFF;
unsigned in_bucket;
for( int i = 0; i < num_buckets; i++ ) {
in_bucket = hash_array[ i ].entries();
if( in_bucket < min ) {
min = in_bucket;
}
}
return( min );
}
double average_in_bucket() {
return( (double)num_entries / (double)num_buckets );
}
double std_dev_in_buckets() {
double sum_of_sq = 0;
double diff;
double mean = average_in_bucket();
for( int i = 0; i < num_buckets; i++ ) {
diff = hash_array[ i ].entries() - mean;
sum_of_sq += diff * diff;
}
return( sqrt( sum_of_sq / num_buckets ) );
};
};
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