72 lines
1.6 KiB
Python
72 lines
1.6 KiB
Python
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import glob, os, re, json
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import numpy as np
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import matplotlib.pyplot as plt
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import pandas
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def extract(b, n, r, c=int):
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r = re.compile(r)
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try:
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f = open(b + n)
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except:
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return
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for l in f:
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m = r.search(l)
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if m:
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v = m.groups()[0]
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v = v.replace(",", "")
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return c(v)
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def load(prefix, base):
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kw = json.load(open(base))
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b = os.path.splitext(base)[0]
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_, n = os.path.split(b)[1].split("_", 1)
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try:
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n, _ = n.rsplit("_", 1)
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kw["vary"] = n
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except:
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pass
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kw["slack"] = extract(b, ".par",
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"GRPclk.*SETUP +\\| +([\d,]+\\.\d+)", float)
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kw["freq"] = extract(b, ".srp",
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"Maximum Frequency: +([\d,]+\\.\d+) *MHz", float)
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kw["reg"] = extract(b, "_map.mrp",
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"Number of Slice Registers: +([\d,]+) ")
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kw["lut"] = extract(b, "_map.mrp",
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"Number of Slice LUTs: +([\d,]+) ")
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kw["slice"] = extract(b, "_map.mrp",
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"Number of occupied Slices: +([\d,]+) ")
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return kw
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def run(prefix):
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dat = {}
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for base in glob.glob("build/{}_*.json".format(prefix)):
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kw = load(prefix, base)
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if "vary" in kw:
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dat[base] = kw
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df = pandas.DataFrame.from_dict(dat, orient="index")
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comp = "freq slice slack".split()
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dfg = df.groupby("vary")
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fig, ax = plt.subplots(len(dfg), len(comp))
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for axj, (v, dfi) in zip(ax, dfg):
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print(v, dfi)
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if v not in dfi:
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continue
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dfi = dfi.sort(v)
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for axi, n in zip(axj, comp):
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x = dfi[v]
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if type(x[0]) is type(""):
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xi = range(len(x))
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axi.set_xticks(xi)
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axi.set_xticklabels(x)
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x = xi
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axi.plot(x, dfi[n])
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axi.set_xlabel(v)
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axi.set_ylabel(n)
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fig.savefig("cordic_impl.pdf")
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plt.show()
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if __name__ == "__main__":
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run("cordic")
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