libertymetric 0.1.4

Liberty Metric Utility

Liberty Metric Extraction

installation

pip install libertymetric

import package

from libertymetric.classLiberty import liberty as lutil

load & convert CCS to JSON

lnode = lutil.read_lib('ccs.lib') lutil.dump_json(lnode,out='ccs.json') lnode.keys()

load liberty from JSON

lnode = lutil.load_json('ccs.json') lnode.keys()

list cells in the liberary

[v for v in lnode['cell']]

grab cell node by cell-name, e.g., 'ND2D1LVT'

cnode = lnode['cell']['ND2D1LVT']

encapsulate all timing/power tables by timing-arc into a dataframe

lutT = lutil.get_cell_timing(cnode,todf=True) lutP = lutil.get_cell_power(cnode,todf=True) lutT.index # enumerate all lookup tables encapsulated by timing-arc lutP.index # enumerate all lookup tables encapsulated by timing-arc

lookup table interpolation, e.g., timing-arc ('A1,ZN,', 'combinational', 'cell_rise')

lut = lutT.loc[('A1,ZN,', 'combinational', 'cell_rise')] y,x,v = map(np.array,lut.values) # unpack values as numpy array

timing interpolation based on the specified transition & load

lutil.table_lookup(lut,trans=0.0207,load=0.0010072,dflag=True)

LS regression & prediction

lutil.lut2lsCoeff(lut.to_dict(),trans=0.03,load=0.0017,dflag=True)

visualization

lutT = lutT.T.to_dict() # convert dataframe to JSON lutil.plot_lut(lutT,keys=('A1,ZN,', 'combinational', 'cell_rise'))