import matplotlib.pyplot as plt
import numpy as np

## Bar diagram chunked on different parameters.
text_size = 30
stroke = 2
marker_width = 8
packet_sizes = (4,8,16,32,64,128)
configs = {
    'Single Issue'                  : ('X',marker_width,(0.4414, 0.6095, 0.7529, 0.8312, 0.8889, 0.9275)),
    'Performance Optimized'         : ('s',marker_width,(0.4211, 0.6957, 1.0323, 1.3333, 1.5799, 1.7527)),
    'Resource Utilization Optimized': ('^',marker_width-4,(0.4211, 0.6957, 1.0323, 1.3333, 1.5799, 1.7527)),
#    'Ideal Addressed'               : ('o',marker_width,(0.5714, 0.8889, 1.2308, 1.5238, 1.7297, 1.8551)),
    'Ideal non-Addressed'           : ('v',marker_width,(1.3333, 1.6000, 1.7778, 1.8824, 1.9394, 1.9692)),
}


x = np.arange(len(packet_sizes))  # the label locations
ys = np.arange(0,2.25,0.25)
width = 0.25  # the width of the bars
multiplier = 0

fig, ax = plt.subplots(layout='constrained')

for attribute, (marker, lw, measurement) in configs.items():
    ax.plot(packet_sizes, measurement, label=attribute, marker=marker, lw=stroke, mew=lw)

# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Throughput (B/C)',fontsize=text_size)
ax.set_xlabel('Packet Size (B/P)',fontsize=text_size)
ax.set_title('Unhindered Throughput of simultaneous 256KiB read and 256KiB write',fontsize=text_size)
ax.set_xscale('log')
ax.set_xticks(packet_sizes, packet_sizes,fontsize=text_size)
ax.set_yticks(ys, ys,fontsize=text_size)
ax.legend(loc='upper left', ncols=2,fontsize=text_size)
ax.set_ylim(0.2, 2.7)

plt.show()