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zfp.py
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zfp.py
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from pyzfp import compress, decompress
import numpy as np
import matplotlib.pyplot as plt
import uproot
import lzma
import zlib
import lz4.frame
import zstd
f = uproot.open("nanoaod.root")
funcompressed = uproot.open("uncompressednanoaod.root")
branches = ["Jet_area"]
n = 4
X = [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23]
ratio = [ 2**(-n) for n in X ]
percentageofsucessfulbranches = []
Y = []
Yzfpandlzma = []
Yzfpandzstd = []
Ylzma = []
Ylzmadefault = []
Yzlib = []
Ylz4 = []
Yzstd = []
for r in ratio:
print("Tolerance = " + str(r) + " of smallest value")
compressions = 0
sucesses = 0
totlength = 0
totcomplength = 0
for k in branches:
print(" ")
print(k)
try:
jagged = f["Events/"+k].array()
jaggedu = funcompressed["Events/"+k].array()
subarraylengths = [len(k) for k in jagged]
flat = np.array([i for sublist in jagged for i in sublist])
subarraylengthsu = [len(k) for k in jaggedu]
flatu = np.array([i for sublist in jaggedu for i in sublist])
lzmauncompressed = len(bytes(flat))
lzmacompressed = len(lzma.compress(bytes(flat), preset=9))
Ylzma.append(lzmauncompressed/lzmacompressed)
lzmauncompressed = len(bytes(flat))
lzmacompressed = len(lzma.compress(bytes(flat)))
Ylzmadefault.append(lzmauncompressed/lzmacompressed)
zlibuncompressed = len(bytes(flat))
zlibcompressed = len(zlib.compress(bytes(flat), level=9))
Yzlib.append(zlibuncompressed/zlibcompressed)
lz4uncompressed = len(bytes(flat))
lz4compressed = len(lz4.frame.compress(bytes(flat), compression_level=16))
Ylz4.append(lz4uncompressed/lz4compressed)
zstduncompressed = len(bytes(flat))
zstdcompressed = len(zstd.compress(bytes(flat),22))
Yzstd.append(zstduncompressed/zstdcompressed)
tol = r
compressed = compress(flatu, tolerance=tol)
compressedwithlzma = lzma.compress(bytes(compressed))
Yzfpandlzma.append(len(bytes(flatu))/len(bytes(compressedwithlzma)))
compressedwithzstd = zstd.compress(bytes(compressed))
Yzfpandzstd.append(len(bytes(flatu))/len(bytes(compressedwithzstd)))
length = len(flatu.tostring())
compressedlength = len(compressed)
compressions += 1
print("Length: " + str(length))
print("Compressed length: " + str(compressedlength))
if length >= compressedlength:
print("Effective!")
sucesses += 1
else:
print("Not effective.")
totlength += length
totcomplength += compressedlength
except:
print("Exception (probably holds some weird values)")
Y.append(totlength/totcomplength)
percentageofsucessfulbranches.append(sucesses/compressions)
fig, ax1 = plt.subplots()
ax1.set_title("NanoAOD " + str(branches[0]) + " (pure Python implementation)")
ax1.set_xlabel("-log_2(precision) (for solid lines)")
ax1.set_ylabel("Compression ratio")
ax1.plot([6,23],[Y[n],Y[n]],'--', label="zfp w/ CMSSW precision")
ax1.plot(X,Y,label="zfp w/ varying precision")
ax1.plot(X,Ylzma,'--', label="LMF + LZMA (max comp. lvl)")
#ax1.plot(X,Ylzmadefault,'--', label="LZMA (python) default")
ax1.plot(X,Yzlib,'--', label="LMF + ZLIB (max comp. lvl)")
ax1.plot(X,Ylz4,'--', label="LMF + lz4 (max comp. lvl)")
ax1.plot(X,Yzstd,'--', label="LMF + Zstd (max comp. lvl)")
ax1.plot(X,Yzfpandlzma,label="zfp then LZMA (max comp. lvl)")
ax1.plot(X,Yzfpandzstd,label="zfp then Zstd (max comp. lvl)")
ax1.set_xticks([6,8,10,12,14,16,18,20,22])
plt.legend(loc="upper right", fontsize="small")
plt.savefig("compression_NANOaod_" + str(branches[0]),dpi=300, transparent=True)
print(Yzfpandlzma[n])
print(Ylzma[0])
plt.show()