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#!/bin/bash
__run_sh__base_path="$(dirname "$(realpath --logical "${BASH_SOURCE[0]}")")"
__run_sh__bash_libraries_relative_path="../../bash_libraries"
__run_sh__bash_libraries_absolute_path=$(cd "$__run_sh__base_path" && cd "$__run_sh__bash_libraries_relative_path" && pwd)
export PATH="$__run_sh__bash_libraries_absolute_path:$PATH"
source csv_to_dat.sh || exit 1
source framework.sh || exit 1
source get_result_count.sh || exit 1
source panic.sh || exit 1
source path_join.sh || exit 1
source percentiles_table.sh || exit 1
source validate_dependencies.sh || exit 1
experiment_client() {
local -r hostname="$1"
local -r results_directory="$2"
local -ri iteration_count=100
local -ri word_count=100
# Perform Experiments
printf "Running Experiments\n"
local -ar dpis=(72 108 144)
local -Ar dpi_to_path=(
[72]=/gocr_72_dpi
[108]=/gocr_108_dpi
[144]=/gocr_144_dpi
)
local words
for ((i = 0; i < iteration_count; i++)); do
words="$(shuf -n"$word_count" /usr/share/dict/american-english)"
for dpi in "${dpis[@]}"; do
pango-view --dpi="$dpi" --font=mono -qo "${dpi}"_dpi.png -t "$words"
result=$(curl -H 'Expect:' -H "Content-Type: text/plain" --data-binary @"${dpi}"_dpi.png "$hostname:10000${dpi_to_path[$dpi]}" --silent -w "%{stderr}%{time_total}\n" 2>> "$results_directory/${dpi}_time.txt")
rm "${dpi}"_dpi.png
# Logs the number of words that don't match
echo "word count: $word_count" >> "$results_directory/${dpi}_full_results.txt"
diff -ywBZE --suppress-common-lines <(echo "$words") <(echo "$result") \
| tee -a "$results_directory/${dpi}_full_results.txt" \
| wc -l >> "$results_directory/${dpi}_results.txt"
echo "==========================================" >> "$results_directory/${dpi}_full_results.txt"
done
done
# Process Results
# Write Headers to CSV files
printf "DPI,Success_Rate\n" >> "$results_directory/success.csv"
percentiles_table_header "$results_directory/latency.csv" "dpi"
for dpi in "${dpis[@]}"; do
# Skip empty results
oks=$(wc -l < "$results_directory/${dpi}_time.txt")
((oks == 0)) && continue
# Calculate success rate
awk '
BEGIN {total_mistakes=0}
{total_mistakes += $1}
END {
average_mistakes = (total_mistakes / NR)
success_rate = ('$word_count' - average_mistakes) / '$word_count' * 100
printf "'"$dpi"',%f\n", success_rate
}
' < "$results_directory/${dpi}_results.txt" >> "$results_directory/success.csv"
# Convert latency from s to ms, and sort
awk -F, '{print ($0 * 1000)}' < "$results_directory/${dpi}_time.txt" | sort -g > "$results_directory/${dpi}_time_sorted.txt"
# Generate Latency Data for csv
percentiles_table_row "$results_directory/${dpi}_time_sorted.txt" "$results_directory/latency.csv" "$dpi"
done
# Transform csvs to dat files for gnuplot
csv_to_dat "$results_directory/success.csv" "$results_directory/latency.csv"
}
# Validate that required tools are in path
validate_dependencies curl shuf pango-view diff
framework_init "$@"