mirror of
https://github.com/logos-blockchain/logos-blockchain-simulations.git
synced 2026-01-09 00:23:09 +00:00
172 lines
5.7 KiB
Python
172 lines
5.7 KiB
Python
import os
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import sys
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import math
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import typer
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import json
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import pandas as pd
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import numpy as np
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import logging as log
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from pathlib import Path
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import matplotlib.pyplot as plt
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from os import walk
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from collections import defaultdict
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def read_json(fname):
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with open(fname) as f:
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cdata = json.load(f)
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return cdata
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def write_json(dic, fname):
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dic_str = {str(k): str(v) for k,v in dic.items()}
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jdump = json.dumps(dic_str, indent=4, sort_keys=True)
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with open(fname, 'w') as f:
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f.write(jdump)
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def read_dict(fname):
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with open(fname, 'r') as f:
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return eval(f.read())
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def write_dict(dic, fname):
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with open(fname, 'w') as f:
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return f.write(str(dic))
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def read_csv(fname):
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df = pd.read_csv(fname, header=0, comment='#', skipinitialspace = True )
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return df
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def write_csv(df, fname):
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df.to_csv(fname)
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def compute_view_finalisation_times(df, conf, oprefix, tag="tag", plot=False):
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num_nodes = conf["node_count"]
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two3rd = math.floor(num_nodes * 2/3) + 1
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views, view2fin_time = df.current_view.unique()[:-2], {}
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log.debug(f'views: {views}')
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for start_view in views:
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end_view = start_view + 2
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start_idx = df.index[(df['current_view'] == start_view)][0]
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end_idx = df.index[(df['current_view'] == end_view)][two3rd-1]
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start_step = df.iloc[start_idx].step_id
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end_step = df.iloc[end_idx].step_id
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view2fin_time[start_view] = end_step - start_step
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log.debug(f'{start_view}({start_idx}), {end_view}({end_idx}) : {end_step} - {start_step} = {view2fin_time[start_view]}')
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if not plot:
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return view2fin_time
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fig, axes = plt.subplots(1, 1, layout='constrained', sharey=False)
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fig.set_figwidth(12)
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fig.set_figheight(10)
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fig.suptitle(f'View Finalisation Times - {tag}')
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axes.set_ylabel("Number of Epochs to Finalise a View")
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axes.set_xlabel("Views")
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axes.set_xticks([x for x in view2fin_time.keys()])
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axes.set_yticks([x for x in range(0, max(view2fin_time.values())+2)])
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axes.plot(view2fin_time.keys(), view2fin_time.values(), linestyle='--', marker='o')
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plt.show()
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plt.savefig(f'{oprefix}-view-finalisation-times.pdf', format="pdf", bbox_inches="tight")
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def compute_view_lengths(path, oprefix):
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pathlen2vfins = {}
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conf_fnames = next(walk(f'{path}/configs'), (None, None, []))[2]
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for conf in conf_fnames:
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tag = os.path.splitext(os.path.basename(conf))[0]
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cfile, dfile = f'{path}/configs/{conf}', f'{path}/output/output/{tag}.csv'
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conf, df = read_json(cfile), read_csv(dfile)
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simtype = conf["stream_settings"]["path"].split("/")[1].split("_")[0]
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view2fin = compute_view_finalisation_times(df, conf, oprefix, tag, plot=False)
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if not view2fin: # < 2 views
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continue
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num_nodes = conf["node_count"]
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if simtype == "branch":
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max_depth = conf["overlay_settings"]["branch_depth"]
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else:
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max_depth = math.log(num_nodes + 1, 2) - 1
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if num_nodes in pathlen2vfins:
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pathlen2vfins[num_nodes].append((simtype, max_depth, view2fin, tag))
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else:
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pathlen2vfins[num_nodes] = [(simtype, max_depth, view2fin, tag)]
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return pathlen2vfins
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app = typer.Typer()
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@app.command()
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def view(ctx: typer.Context,
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data_file: Path = typer.Option("config.json",
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exists=True, file_okay=True, readable=True,
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help="Set the simulation config file"),
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config_file: Path = typer.Option("simout.csv",
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exists=True, file_okay=True, readable=True,
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help="Set the simulation data file"),
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oprefix: str = typer.Option("output",
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help="Set the output prefix for the plots"),
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):
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log.basicConfig(level=log.INFO)
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tag = os.path.splitext(os.path.basename(data_file))[0]
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conf, df = read_json(config_file), read_csv(data_file)
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compute_view_finalisation_times(df, conf, oprefix, tag, plot=True)
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@app.command()
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def views(ctx: typer.Context,
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path: Path = typer.Option("../",
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exists=True, dir_okay=True, readable=True,
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help="Set the simulation config file"),
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oprefix: str = typer.Option("output",
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help="Set the output prefix for the plots")
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):
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log.basicConfig(level=log.INFO)
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#pathlen2vfins = compute_view_lengths(path, oprefix)
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#write_json(pathlen2vfins, f'{oprefix}-viewtimes.json')
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#write_dict(pathlen2vfins, f'{oprefix}-viewtimes.dict')
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pathlen2vfins = read_dict(f'{oprefix}-viewtimes.dict')
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data, log4, log5 = [[], []], [], []
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print("READ FROM FILE", pathlen2vfins)
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for n in sorted(list(map(int, pathlen2vfins.keys()))):
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vfin = pathlen2vfins[n]
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for run in vfin:
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if "default" in run[3] and "tree" in run[0]:
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data[0].append(n)
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data[1].append(int(run[2][0]))
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log4.append(int(run[1])*1)
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log5.append(int(run[1])*2)
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fig, axes = plt.subplots(1, 1, layout='constrained', sharey=False)
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fig.set_figwidth(12)
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fig.set_figheight(10)
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fig.suptitle(f'View Finalisation Times')
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axes.set_ylabel("Number of Epochs")
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axes.set_xlabel("Number of Nodes")
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l1 = axes.plot(data[0], data[1], linestyle='-', marker='o', label='Carnot')
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l2 = axes.plot(data[0], log4, linestyle='--', marker='x', label='1 * log(#nodes)')
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l3 = axes.plot(data[0], log5, linestyle='--', marker='x', label='2 * log(#nodes)')
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l = l1 + l2 + l3
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labels = [curve.get_label() for curve in l]
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axes.legend(l, labels, loc="lower right")
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plt.show()
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plt.savefig(f'{oprefix}-output.pdf', format="pdf", bbox_inches="tight")
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@app.command()
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def other_commands():
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pass
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if __name__ == "__main__":
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app()
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