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425d593ebe
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk/trunk@2 d0cd1f9f-072b-0410-8dd7-cf729c803f20
136 lines
4.5 KiB
C
136 lines
4.5 KiB
C
/* -*-C-*-
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********************************************************************************
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*
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* File: measure.h (Formerly measure.h)
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* Description: Statistics for a group of single measurements
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* Author: Mark Seaman, SW Productivity
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* Created: Fri Oct 16 14:37:00 1987
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* Modified: Mon Apr 8 09:42:28 1991 (Mark Seaman) marks@hpgrlt
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* Language: C
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* Package: N/A
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* Status: Reusable Software Component
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*
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* (c) Copyright 1987, Hewlett-Packard Company.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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*
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********************************************************************************
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*/
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#ifndef MEASURE_H
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#define MEASURE_H
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/*
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----------------------------------------------------------------------
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I n c l u d e s
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----------------------------------------------------------------------
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*/
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#include <math.h>
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/*
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----------------------------------------------------------------------
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T y p e s
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----------------------------------------------------------------------
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*/
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typedef struct
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{
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long num_samples;
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float sum_of_samples;
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float sum_of_squares;
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} MEASUREMENT;
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/*
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----------------------------------------------------------------------
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M a c r o s
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----------------------------------------------------------------------
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*/
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/**********************************************************************
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* add_sample
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*
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* Add one more sample to a measurement.
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**********************************************************************/
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#define ADD_SAMPLE(m,s) \
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(m.sum_of_samples += (float) (s), \
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m.sum_of_squares += (float) (s) * (float) (s), \
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++m.num_samples)
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/**********************************************************************
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* mean
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*
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* Return the mean value of the measurement.
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**********************************************************************/
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#define MEAN(m) \
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((m).num_samples ? \
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((float) ((m).sum_of_samples / (m).num_samples)) : \
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0)
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/**********************************************************************
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* new_measurement
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*
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* Initalize a record to hold a measurement of a group of individual
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* samples.
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**********************************************************************/
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#define new_measurement(m) \
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((m).num_samples = 0, \
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(m).sum_of_samples = 0, \
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(m).sum_of_squares = 0)
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/**********************************************************************
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* number_of_samples
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*
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* Return the number of samples in a measurement.
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**********************************************************************/
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#define number_of_samples(m) \
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((m).num_samples)
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/**********************************************************************
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* standard_deviation
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*
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* Return the standard deviation of the measurement.
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**********************************************************************/
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#define standard_deviation(m) \
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((float) sqrt (VARIANCE (m)))
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/**********************************************************************
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* variance
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*
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* Return the variance of the measurement.
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**********************************************************************/
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#define VARIANCE(m) \
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(((m).num_samples > 1) ? \
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((float) \
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(((m).num_samples * (m).sum_of_squares - \
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(m).sum_of_samples * (m).sum_of_samples) / \
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(((m).num_samples - 1) * (m).num_samples))) : \
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0)
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/**********************************************************************
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* print_summary
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*
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* Summarize a MEASUREMENT record.
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**********************************************************************/
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#define print_summary(string,measure) \
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cprintf ("\t%-20s \tn = %d, \tm = %4.2f, \ts = %4.2f\n ", \
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string, \
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number_of_samples (measure), \
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MEAN (measure), \
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standard_deviation (measure))
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#endif
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