forked from xuos/xiuos
				
			
		
			
				
	
	
		
			196 lines
		
	
	
		
			7.2 KiB
		
	
	
	
		
			Bash
		
	
	
	
			
		
		
	
	
			196 lines
		
	
	
		
			7.2 KiB
		
	
	
	
		
			Bash
		
	
	
	
#!/bin/bash
 | 
						|
 | 
						|
# Copyright JS Foundation and other contributors, http://js.foundation
 | 
						|
#
 | 
						|
# Licensed under the Apache License, Version 2.0 (the "License");
 | 
						|
# you may not use this file except in compliance with the License.
 | 
						|
# You may obtain a copy of the License at
 | 
						|
#
 | 
						|
#     http://www.apache.org/licenses/LICENSE-2.0
 | 
						|
#
 | 
						|
# Unless required by applicable law or agreed to in writing, software
 | 
						|
# distributed under the License is distributed on an "AS IS" BASIS
 | 
						|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 | 
						|
# See the License for the specific language governing permissions and
 | 
						|
# limitations under the License.
 | 
						|
 | 
						|
ITERS="$1"
 | 
						|
ENGINE="$2"
 | 
						|
BENCHMARK="$3"
 | 
						|
PRINT_MIN="$4"
 | 
						|
OS=`uname -s | tr [:upper:] [:lower:]`
 | 
						|
 | 
						|
if [ "$OS" == "darwin" ]
 | 
						|
then
 | 
						|
  time_regexp='s/user[ 	]*\([0-9]*\)m\([0-9.]*\)s/\1 \2/g'
 | 
						|
else
 | 
						|
  time_regexp='s/user[ \t]*\([0-9]*\)m\([0-9.]*\)s/\1 \2/g'
 | 
						|
fi
 | 
						|
 | 
						|
perf_values=$( (( for i in `seq 1 1 $ITERS`; do time $ENGINE "$BENCHMARK"; if [ $? -ne 0 ]; then exit 1; fi; done ) 2>&1 ) | \
 | 
						|
               grep user | \
 | 
						|
               sed "$time_regexp" | \
 | 
						|
               awk '{ print ($1 * 60 + $2); }';
 | 
						|
               if [ ${PIPESTATUS[0]} -ne 0 ]; then exit 1; fi; );
 | 
						|
 | 
						|
if [ "$PRINT_MIN" == "-min" ]
 | 
						|
then
 | 
						|
  perf_values=$( echo "$perf_values" | \
 | 
						|
                 awk "BEGIN {
 | 
						|
                        min_v = -1;
 | 
						|
                      }
 | 
						|
                      {
 | 
						|
                        if (min_v == -1 || $1 < min_v) {
 | 
						|
                          min_v = $1;
 | 
						|
                        }
 | 
						|
                      }
 | 
						|
                      END {
 | 
						|
                        print min_v
 | 
						|
                      }" || exit 1;
 | 
						|
               );
 | 
						|
  calc_status=$?
 | 
						|
else
 | 
						|
  perf_values=$( echo "$perf_values" | \
 | 
						|
                 awk "BEGIN {
 | 
						|
                        n = 0
 | 
						|
                      }
 | 
						|
                      {
 | 
						|
                        n++
 | 
						|
                        a[n] = \$1
 | 
						|
                      }
 | 
						|
                      END {
 | 
						|
                        #
 | 
						|
                        # Values of 99% quantiles of two-sided t-distribution for given number of degrees of freedom
 | 
						|
                        #
 | 
						|
                        t_gamma_n_m1 [1]  = 63.657
 | 
						|
                        t_gamma_n_m1 [2]  = 9.9248
 | 
						|
                        t_gamma_n_m1 [3]  = 5.8409
 | 
						|
                        t_gamma_n_m1 [4]  = 4.6041
 | 
						|
                        t_gamma_n_m1 [5]  = 4.0321
 | 
						|
                        t_gamma_n_m1 [6]  = 3.7074
 | 
						|
                        t_gamma_n_m1 [7]  = 3.4995
 | 
						|
                        t_gamma_n_m1 [8]  = 3.3554
 | 
						|
                        t_gamma_n_m1 [9]  = 3.2498
 | 
						|
                        t_gamma_n_m1 [10] = 3.1693
 | 
						|
                        t_gamma_n_m1 [11] = 3.1058
 | 
						|
                        t_gamma_n_m1 [12] = 3.0545
 | 
						|
                        t_gamma_n_m1 [13] = 3.0123
 | 
						|
                        t_gamma_n_m1 [14] = 2.9768
 | 
						|
                        t_gamma_n_m1 [15] = 2.9467
 | 
						|
                        t_gamma_n_m1 [16] = 2.9208
 | 
						|
                        t_gamma_n_m1 [17] = 2.8982
 | 
						|
                        t_gamma_n_m1 [18] = 2.8784
 | 
						|
                        t_gamma_n_m1 [19] = 2.8609
 | 
						|
                        t_gamma_n_m1 [20] = 2.8453
 | 
						|
                        t_gamma_n_m1 [21] = 2.8314
 | 
						|
                        t_gamma_n_m1 [22] = 2.8188
 | 
						|
                        t_gamma_n_m1 [23] = 2.8073
 | 
						|
                        t_gamma_n_m1 [24] = 2.7969
 | 
						|
                        t_gamma_n_m1 [25] = 2.7874
 | 
						|
                        t_gamma_n_m1 [26] = 2.7787
 | 
						|
                        t_gamma_n_m1 [27] = 2.7707
 | 
						|
                        t_gamma_n_m1 [28] = 2.7633
 | 
						|
                        t_gamma_n_m1 [29] = 2.7564
 | 
						|
                        t_gamma_n_m1 [30] = 2.75
 | 
						|
                        t_gamma_n_m1 [31] = 2.744
 | 
						|
                        t_gamma_n_m1 [32] = 2.7385
 | 
						|
                        t_gamma_n_m1 [33] = 2.7333
 | 
						|
                        t_gamma_n_m1 [34] = 2.7284
 | 
						|
                        t_gamma_n_m1 [35] = 2.7238
 | 
						|
                        t_gamma_n_m1 [36] = 2.7195
 | 
						|
                        t_gamma_n_m1 [37] = 2.7154
 | 
						|
                        t_gamma_n_m1 [38] = 2.7116
 | 
						|
                        t_gamma_n_m1 [39] = 2.7079
 | 
						|
                        t_gamma_n_m1 [40] = 2.7045
 | 
						|
                        t_gamma_n_m1 [41] = 2.7012
 | 
						|
                        t_gamma_n_m1 [42] = 2.6981
 | 
						|
                        t_gamma_n_m1 [43] = 2.6951
 | 
						|
                        t_gamma_n_m1 [44] = 2.6923
 | 
						|
                        t_gamma_n_m1 [45] = 2.6896
 | 
						|
                        t_gamma_n_m1 [46] = 2.687
 | 
						|
                        t_gamma_n_m1 [47] = 2.6846
 | 
						|
                        t_gamma_n_m1 [48] = 2.6822
 | 
						|
                        t_gamma_n_m1 [49] = 2.68
 | 
						|
                        t_gamma_n_m1 [50] = 2.6778
 | 
						|
 | 
						|
                        #
 | 
						|
                        # Sort array of measurements
 | 
						|
                        #
 | 
						|
                        for (i = 2; i <= n; i++) {
 | 
						|
                          j = i
 | 
						|
                          k = a [j]
 | 
						|
                          while (j > 1 && a [j - 1] > k) {
 | 
						|
                            a [j] = a [j - 1]
 | 
						|
                            j--
 | 
						|
                          }
 | 
						|
                          a [j] = k
 | 
						|
                        }
 | 
						|
 | 
						|
                        #
 | 
						|
                        # Remove 20% of lowest and 20% of highest values
 | 
						|
                        #
 | 
						|
                        n_20_percent = int (n / 5)
 | 
						|
 | 
						|
                        for (i = 1; i <= n_20_percent; i++) {
 | 
						|
                          delete a[n]
 | 
						|
                          n--
 | 
						|
                        }
 | 
						|
 | 
						|
                        for (i = 1; i <= n - n_20_percent; i++) {
 | 
						|
                          a[i] = a[i + n_20_percent]
 | 
						|
                        }
 | 
						|
 | 
						|
                        n -= n_20_percent
 | 
						|
 | 
						|
                        #
 | 
						|
                        # Calculate average
 | 
						|
                        #
 | 
						|
                        sum = 0
 | 
						|
                        for (i = 1; i <= n; i++) {
 | 
						|
                          sum += a[i]
 | 
						|
                        }
 | 
						|
 | 
						|
                        avg = sum / n
 | 
						|
 | 
						|
                        if (n > 1) {
 | 
						|
                          if (n - 1 <= 50) {
 | 
						|
                            t_coef = t_gamma_n_m1 [n - 1]
 | 
						|
                          } else {
 | 
						|
                            # For greater degrees of freedom, values of corresponding quantiles
 | 
						|
                            # are insignificantly less than the value.
 | 
						|
                            #
 | 
						|
                            # For example, the value for infinite number of freedoms is 2.5758
 | 
						|
                            #
 | 
						|
                            # So, to reduce table size, we take this, greater value,
 | 
						|
                            # overestimating inaccuracy for no more than 4%.
 | 
						|
                            #
 | 
						|
                            t_coef = t_gamma_n_m1 [50]
 | 
						|
                          }
 | 
						|
 | 
						|
                          #
 | 
						|
                          # Calculate inaccuracy estimation
 | 
						|
                          #
 | 
						|
                          sum_delta_squares = 0
 | 
						|
                          for (i = 1; i <= n; i++) {
 | 
						|
                            sum_delta_squares += (avg - a[i]) ^ 2
 | 
						|
                          }
 | 
						|
 | 
						|
                          delta = t_coef * sqrt (sum_delta_squares / (n * (n - 1)))
 | 
						|
 | 
						|
                          print avg, delta
 | 
						|
                        } else {
 | 
						|
                          print avg
 | 
						|
                        }
 | 
						|
                      }
 | 
						|
                      " || exit 1;
 | 
						|
               );
 | 
						|
  calc_status=$?
 | 
						|
fi
 | 
						|
 | 
						|
echo "$perf_values"
 | 
						|
 | 
						|
if [ $? -ne 0 ];
 | 
						|
then
 | 
						|
  exit 1;
 | 
						|
fi;
 |