# Output Settings
set terminal pngcairo size 1200,1600 enhanced linewidth 2
set output 'speedup_results.png'
set datafile separator ","
set multiplot layout 3,1 title "Concurrent HashMap Benchmark Results\nSpeedup vs Thread Count" offset 0, -0.05 scale 1, 0.95

# Axis Settings
set grid y
set grid x
set xlabel "Threads"
set ylabel "Speedup"
set logscale x 2
set format y "%.1f"
set yrange [0:*]

# Key (Legend) Settings
set key outside right top box
set key title "Configuration"

# Colors
c_050 = "#17becf" # Cyan
c_080 = "#2ca02c" # Green
c_090 = "#1f77b4" # Blue
c_095 = "#ff7f0e" # Orange
c_098 = "#d62728" # Red

# Point Types (Shapes)
# 13=Diamond, 7=Circle, 5=Square, 9=Triangle Up, 11=Triangle Down
pt_conc_050 = 13
pt_conc_080 = 7
pt_conc_090 = 5
pt_conc_095 = 9
pt_conc_098 = 11
# Open version for Mutex
pt_mutex_080 = 6

# Helper function to filter data
# Col 1: Impl, Col 2: LF, Col 3: Workload, Col 7: Speedup
filter(workload, impl, lf) = (strcol(3) eq workload && strcol(1) eq impl && abs($2 - lf) < 0.001) ? $7 : 1/0

set title "Workload: Read-Heavy (3% Put, 2% Remove, 95% Get)"
plot \
    'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.50)) w lp lc rgb c_050 pt pt_conc_050 t "Concurrent (LF 0.50)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.80)) w lp lc rgb c_080 pt pt_conc_080 t "Concurrent (LF 0.80)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.90)) w lp lc rgb c_090 pt pt_conc_090 t "Concurrent (LF 0.90)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.95)) w lp lc rgb c_095 pt pt_conc_095 t "Concurrent (LF 0.95)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.98)) w lp lc rgb c_098 pt pt_conc_098 t "Concurrent (LF 0.98)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Mutex", 0.80))      w lp lc rgb c_080 dt 2 pt pt_mutex_080 t "Mutex (LF 0.80)",

set title "Workload: Balanced (25% Put, 25% Remove, 50% Get)"
plot \
    'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.50)) w lp lc rgb c_050 pt pt_conc_050 t "Concurrent (LF 0.50)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.80)) w lp lc rgb c_080 pt pt_conc_080 t "Concurrent (LF 0.80)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.90)) w lp lc rgb c_090 pt pt_conc_090 t "Concurrent (LF 0.90)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.95)) w lp lc rgb c_095 pt pt_conc_095 t "Concurrent (LF 0.95)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.98)) w lp lc rgb c_098 pt pt_conc_098 t "Concurrent (LF 0.98)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Mutex", 0.80))      w lp lc rgb c_080 dt 2 pt pt_mutex_080 t "Mutex (LF 0.80)",

set title "Workload: Write-Heavy (45% Put, 45% Remove, 10% Get)"
plot \
    'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.50)) w lp lc rgb c_050 pt pt_conc_050 t "Concurrent (LF 0.50)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.80)) w lp lc rgb c_080 pt pt_conc_080 t "Concurrent (LF 0.80)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.90)) w lp lc rgb c_090 pt pt_conc_090 t "Concurrent (LF 0.90)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.95)) w lp lc rgb c_095 pt pt_conc_095 t "Concurrent (LF 0.95)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.98)) w lp lc rgb c_098 pt pt_conc_098 t "Concurrent (LF 0.98)", \
    'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Mutex", 0.80))      w lp lc rgb c_080 dt 2 pt pt_mutex_080 t "Mutex (LF 0.80)",

unset multiplot