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finalfile1.py
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from os import times
from pydoc import doc
import re
from pathlib import *
import string
import time
import csv
import numpy as np
import statistics
import termcolor
import getpass
time_of_cellname_extract=int()
time_of_max_trans_extract=int()
time_of_fiteration=int()
time_of_fiteration1=int()
time_of_pinname_extract=int()
time_of_direction_extract=int()
time_of_function_extract=int()
time_of_area_extract=int()
time_of_leakage_power_extract=int()
time_of_extract_max_cap=int()
time_of_extract_max_delay_fall=int()
time_of_extract_max_delay_rise=int()
class Cell_info_extract():
def __init__(self,path:string):
self.path=path
self.dic=dict()
self.total_cell_info={}
if 'sky' in self.path:
print('This is SKY')
self.open1=open('cell_info(sky).csv','w').close()
self.open1=open('cell_info(sky).csv','a')
self.write1=csv.writer(self.open1)
else:
print('This is another lib file')
self.open1=open('cell_info(anotherlib).csv','w').close()
self.open1=open('cell_info(anotherlib).csv','a')
self.write1=csv.writer(self.open1)
# Extract cell info in list:
cell_name,cell_span=self.extract_cell_name(self.path)
# Extract Usefull info from each cell's info:
self.filter(cell_name,cell_span,self.path)
# Make a summary file:
#self.make_summary()
def extract_cell_name(self,path):
global time_of_cellname_extract
start=time.time()
file = open(path,'r')
content = file.read()
cellname=[]
cellspan=[]
#for cell names
ab= re.finditer('(cell\s*\()"(.*?)"(\))',content)
for i in ab:
if i[2]=='':
continue
cellname.append(i[2])
cellspan.append(i.span())
end=time.time()
time_of_cellname_extract+=end-start
return cellname,cellspan
def filter(self,cellname:list,cellspan:list,path:str):
global time_of_fiteration1
self.write1.writerow(['Cell Name','Pin name','Direction','Max Transition','Area','Function',\
'Leakage Power','Max_Cap','Input Transition Fall','Input Transition Rise',\
'Output Capacitance Fall','Output Capacitance Rise','Delay Fall','Delay Rise'\
,'Delay Value Fall','Delay Value Rise','Max Pin Delay Fall','Max Pin Delay Rise'])
f1=open(path,'r')
r1=f1.read()
for i,j in zip(cellname,cellspan):
if cellspan.index(j)==len(cellspan)-1:
start1=time.time()
self.total_cell_info[i]=r1[j[0]:]
end1=time.time()
time_of_fiteration1+=end1-start1
else:
start1=time.time()
self.total_cell_info[i]=r1[j[0]:cellspan[cellspan.index(j)+1][1]]
end1=time.time()
time_of_fiteration1+=end1-start1
pins,direction,max_trans,max_cap,max_in1_list_fall,max_in1_list_rise\
,max_in2_list_fall,max_in2_list_rise,max_delay_list_fall,max_delay_list_rise,max_delay_val_fall\
,max_delay_val_rise,max_pin_fall,max_pin_rise=self.extract_pin_name(i,self.total_cell_info[i])
if direction is None:
termcolor.cprint(f'{i} is fail to extract the information','red')
continue
else:
termcolor.cprint(f'{i} is pass to extract the information','green')
area=self.extract_area_of_cell(self.total_cell_info[i])
fun=self.extract_function_of_cell(self.total_cell_info[i])
leakage=self.extract_leakage_power(self.total_cell_info[i])
self.dic[i]={}
self.dic[i]['pin_name']=pins
self.dic[i]['direction']=direction
self.dic[i]['max_transition']=max_trans
self.dic[i]['max_capacitance']=max_cap
self.dic[i]['area']=area
self.dic[i]['function']=fun
self.dic[i]['leakage']=leakage
self.dic[i]['Input Transition Fall']=max_in1_list_fall
self.dic[i]['Input Transition Rise']=max_in1_list_rise
self.dic[i]['Output Capacitance Fall']=max_in2_list_fall
self.dic[i]['Output Capacitance Rise']=max_in2_list_rise
self.dic[i]['Delay Fall']=max_delay_list_fall
self.dic[i]['Delay Rise']=max_delay_list_rise
self.dic[i]['Max Delay Value Fall']=max_delay_val_fall
self.dic[i]['Max Delay Value Rise']=max_delay_val_rise
self.dic[i]['Max Pin Delay Fall']=max_pin_fall
self.dic[i]['Max Pin Delay Rise']=max_pin_rise
self.write1.writerow([i,pins,direction,max_trans,area,fun,leakage,max_cap,\
max_in1_list_fall,max_in1_list_rise,max_in2_list_fall,max_in2_list_rise,\
max_delay_list_fall,max_delay_list_rise,max_delay_val_fall,max_delay_val_rise,\
max_pin_fall,max_pin_rise])
f1.close()
self.open1.close()
def extract_direction_of_pins(self,cell_info):
start1=time.time()
global time_of_direction_extract
dir = re.findall('(\s*direction\s*:\s*)"?(.[^;"]*)',cell_info)
if dir:
end1=time.time()
time_of_direction_extract+=end1-start1
return str(dir[0][1]).rstrip(' ')
else:
end1=time.time()
time_of_direction_extract+=end1-start1
return 'Not Available'
def extract_pin_name(self,cell_name,cell_info):
start=time.time()
global time_of_pinname_extract
pin_name=[]
direction=[]
max_trans=[]
max_cap=[]
max_in1_list_fall=list()
max_in2_list_fall=list()
max_delay_list_fall=list()
max_delay_val_fall=float()
max_pin_fall=str()
max_in1_list_rise=list()
max_in2_list_fall=list()
max_in2_list_rise=list()
max_delay_list_rise=list()
max_delay_val_rise=float()
max_pin_rise=str()
pins=re.finditer('(\spin\s*\()"?(.[^"|^)]*)',cell_info)
if pins:
end=time.time()
time_of_pinname_extract+=end-start
pins=list(pins)
for i in pins:
if pins.index(i) == len(pins)-1:
max= self.extract_max_transition_of_pins(cell_info[i.span()[0]:])
direct=self.extract_direction_of_pins(cell_info[i.span()[0]:])
cap=self.extract_max_capacitance(cell_info[i.span()[0]:])
if 'output' in direction and direct=='output':
return None,None,None,None,None,None,None,None,None,None,None,None,None,None
if 'output' not in direction and direct!='output':
direction.append(direct)
max_cap.append(cap)
pin_name.append(i[2])
max_trans.append(max)
elif direct=='output':
direction.insert(len(direction),direct)
max_cap.insert(len(max_cap),cap)
pin_name.insert(len(pin_name),i[2])
max_trans.insert(len(max_trans),max)
max_in1_list_fall,max_in2_list_fall,max_delay_list_fall,max_delay_val_fall,max_pin_fall=\
self.cell_fall_matrix_extract(cell_info[i.span()[0]:])
max_in1_list_rise,max_in2_list_rise,max_delay_list_rise,max_delay_val_rise,max_pin_rise=\
self.cell_rise_matrix_extract(cell_info[i.span()[0]:])
#self.output_info[cell_name]=cell_info[i.span()[0]:]
else:
direction.insert(len(direction)-1,direct)
max_cap.insert(len(max_cap)-1,cap)
pin_name.insert(len(pin_name)-1,i[2])
max_trans.insert(len(max_trans)-1,max)
else:
max=self.extract_max_transition_of_pins(cell_info[i.span()[0]:pins[pins.index(i)+1].span()[1]])
direct=self.extract_direction_of_pins(cell_info[i.span()[0]:pins[pins.index(i)+1].span()[1]])
cap=self.extract_max_capacitance(cell_info[i.span()[0]:pins[pins.index(i)+1].span()[1]])
if 'output' in direction and direct=='output':
return None,None,None,None,None,None,None,None,None,None,None,None,None,None
if 'output' not in direction and direct!='output':
direction.append(direct)
max_cap.append(cap)
pin_name.append(i[2])
max_trans.append(max)
elif direct=='output':
direction.insert(len(direction),direct)
max_cap.insert(len(max_cap),cap)
pin_name.insert(len(pin_name),i[2])
max_trans.insert(len(max_trans),max)
max_in1_list_fall,max_in2_list_fall,max_delay_list_fall,max_delay_val_fall,max_pin_fall=\
self.cell_fall_matrix_extract(cell_info[i.span()[0]:pins[pins.index(i)+1].span()[1]])
max_in1_list_rise,max_in2_list_rise,max_delay_list_rise,max_delay_val_rise,max_pin_rise=\
self.cell_rise_matrix_extract(cell_info[i.span()[0]:pins[pins.index(i)+1].span()[1]])
#self.output_info[cell_name]=cell_info[i.span()[0]:pins[pins.index(i)+1].span()[1]]
else:
direction.insert(len(direction)-1,direct)
max_cap.insert(len(max_cap)-1,cap)
pin_name.insert(len(pin_name)-1,i[2])
max_trans.insert(len(max_trans)-1,max)
#print(pin_name,direction,max_cap,max_trans)
if direction.count('input')>=1 and direction.count('output')==1:
return pin_name,direction,max_trans,max_cap,max_in1_list_fall,max_in1_list_rise,\
max_in2_list_fall,max_in2_list_rise,max_delay_list_fall,max_delay_list_rise,\
max_delay_val_fall,max_delay_val_rise,max_pin_fall,max_pin_rise
else:
return None,None,None,None,None,None,None,None,None,None,None,None,None,None
def extract_max_transition_of_pins(self,cell_info):
start1=time.time()
global time_of_max_trans_extract
trans=re.findall("(\s*max_transition\s*:)(.[^;]*)",cell_info)
if trans:
end1=time.time()
time_of_max_trans_extract+=end1-start1
return eval(trans[0][1])
else:
end1=time.time()
time_of_max_trans_extract+=end1-start1
return 'Not Available'
def extract_area_of_cell(self,cell_info):
start1=time.time()
global time_of_area_extract
area=re.search("(\s*area\s*:)(.[^;]*)",cell_info)
if area :
end1=time.time()
time_of_area_extract+=end1-start1
return float(area[2])
else:
end1=time.time()
time_of_area_extract+=end1-start1
return 'Not Available'
def extract_function_of_cell(self,cell_info):
start1=time.time()
global time_of_function_extract
func1=re.search('(\s*function\s*:)\s*"?(.[^;"]*)',cell_info)
if func1:
end1=time.time()
time_of_function_extract+=end1-start1
return str(func1[2].replace(' ',''))
else:
end1=time.time()
time_of_function_extract+=end1-start1
return 'Not Available'
def extract_leakage_power(self,cell_info):
start1=time.time()
global time_of_leakage_power_extract
leakage=re.search('(\s*cell_leakage_power :)\s*?(.[^;]*)',cell_info)
if leakage:
if leakage[2]!=None:
end1=time.time()
time_of_leakage_power_extract+=end1-start1
return float(leakage[2])
else:
end1=time.time()
time_of_leakage_power_extract+=end1-start1
return 'Not Available'
def extract_max_capacitance(self,cell_info):
start1=time.time()
global time_of_extract_max_cap
max_cap=re.search('(\scapacitance\s*:)\s*(.[^;]*)',cell_info)
if max_cap:
if max_cap[2]!=None:
end1=time.time()
time_of_extract_max_cap+=end1-start1
return float(max_cap[2])
else:
end1=time.time()
time_of_extract_max_cap+=end1-start1
return 'Not Available'
def cell_fall_matrix_extract(self,cell_info):
start1=time.time()
global time_of_extract_max_delay_fall
timesec=re.finditer('\s*timing.*\(\).*',cell_info)
if timesec:
max_pin=str(' ')
max_in1_list=None
max_in2_list=None
max_delay_val=float(0)
max_delay_list=[0]
timesec=list(timesec)
for i in timesec:
if timesec.index(i)==len(timesec)-1:
relpin=re.search('(\srelated_pin.*:)\s*"?(.[^;"]*)',cell_info[i.span()[0]:])
in1=re.search('(\s*cell_fall.*)\n(\s*index_1\()"?(.[^");]*)',cell_info[i.span()[0]:])
in2=re.search('(\s*cell_fall.*)(\n.*){2}(\s*index_2\()"?(.[^");]*)',\
cell_info[i.span()[0]:])
val1=re.search('(\s*cell_fall.*)(\n.*){2}(\s*values\("?)(.*)\n(.*)\n(.*)\n(.*)\n(.*)\n(.*)\n(.*)'\
,cell_info[i.span()[0]:])
if in1 and in2 and val1:
delay_mat=eval('['+val1[4].replace('"','').replace('\\','')+val1[5].replace('"','').replace('\\','').replace(' ','')\
+val1[6].replace('"','').replace('\\','').replace(' ','')\
+val1[7].replace('"','').replace('\\','').replace(' ','')\
+val1[8].replace('"','').replace('\\','').replace(' ','')\
+val1[9].replace('"','').replace('\\','').replace(' ','')\
+val1[10].replace('"','').replace(')','').replace(';','').replace(' ','')+']')
delay_mat=np.array(delay_mat)
delay_mat= np.reshape(delay_mat,(7,7))
if in1[3]!=None and in2[4]!=None and val1:
medvalin1=statistics.median(eval('['+in1[3]+']'))
medvalin2=statistics.median(eval('['+in2[4]+']'))
medinin1=eval('['+in1[3]+']').index(medvalin1)
medinin2=eval('['+in2[4]+']').index(medvalin2)
if delay_mat[medinin1][medinin2] > max_delay_val:
max_delay_val=delay_mat[medinin1][medinin2]
max_delay_list=delay_mat[medinin1].tolist()
max_pin=max_pin.replace(max_pin[:],relpin[2])
max_in1_list=eval('['+in1[3]+']')
max_in2_list=eval('['+in2[4]+']')
else:
relpin=re.search('(\srelated_pin.*:)\s*"?(.[^;"]*)',cell_info[i.span()[0]:timesec[timesec.index(i)+1].span()[1]])
in1=re.search('(\s*cell_fall.*)\n(\s*index_1\()"?(.[^");]*)'\
,cell_info[i.span()[0]:timesec[timesec.index(i)+1].span()[1]])
in2=re.search('(\s*cell_fall.*)(\n.*){2}(\s*index_2\()"?(.[^");]*)'\
,cell_info[i.span()[0]:timesec[timesec.index(i)+1].span()[1]])
val1=re.search('(\s*cell_fall.*)(\n.*){2}(\s*values\("?)(.*)\n(.*)\n(.*)\n(.*)\n(.*)\n(.*)\n(.*)'\
,cell_info[i.span()[0]:timesec[timesec.index(i)+1].span()[1]])
if in1 and in2 and val1:
delay_mat=eval('['+val1[4].replace('"','').replace('\\','')+val1[5].replace('"','').replace('\\','').replace(' ','')\
+val1[6].replace('"','').replace('\\','').replace(' ','')\
+val1[7].replace('"','').replace('\\','').replace(' ','')\
+val1[8].replace('"','').replace('\\','').replace(' ','')\
+val1[9].replace('"','').replace('\\','').replace(' ','')\
+val1[10].replace('"','').replace(')','').replace(';','').replace(' ','')+']')
delay_mat=np.array(delay_mat)
#print(relpin[2],delay_mat)
delay_mat = np.reshape(delay_mat,(7,7))
if in1[3]!=None and in2[4]!=None and val1:
medvalin1=statistics.median(eval('['+in1[3]+']'))
medvalin2=statistics.median(eval('['+in2[4]+']'))
medinin1=eval('['+in1[3]+']').index(medvalin1)
medinin2=eval('['+in2[4]+']').index(medvalin2)
if delay_mat[medinin1][medinin2] > max_delay_val:
max_delay_val=delay_mat[medinin1][medinin2]
max_delay_list=delay_mat[medinin1].tolist()
max_pin=max_pin.replace(max_pin[:],relpin[2])
max_in1_list=eval('['+in1[3]+']')
max_in2_list=eval('['+in2[4]+']')
end1=time.time()
time_of_extract_max_delay_fall+=end1-start1
return max_in1_list,max_in2_list,max_delay_list,max_delay_val,max_pin
def cell_rise_matrix_extract(self,cell_info):
start1=time.time()
global time_of_extract_max_delay_rise
timesec=re.finditer('\s*timing.*\(\).*',cell_info)
if timesec:
max_pin=str(' ')
max_in1_list=None
max_in2_list=None
max_delay_val=float(0)
max_delay_list=[0]
timesec=list(timesec)
for i in timesec:
if timesec.index(i)==len(timesec)-1:
relpin=re.search('(\srelated_pin.*:)\s*"?(.[^;"]*)',cell_info[i.span()[0]:])
in1=re.search('(\s*cell_rise.*)\n(\s*index_1\()"?(.[^");]*)',cell_info[i.span()[0]:])
in2=re.search('(\s*cell_rise.*)(\n.*){2}(\s*index_2\()"?(.[^");]*)',\
cell_info[i.span()[0]:])
val1=re.search('(\s*cell_rise.*)(\n.*){2}(\s*values\("?)(.*)\n(.*)\n(.*)\n(.*)\n(.*)\n(.*)\n(.*)'\
,cell_info[i.span()[0]:])
if in1 and in2 and val1:
delay_mat=eval('['+val1[4].replace('"','').replace('\\','')+val1[5].replace('"','').replace('\\','').replace(' ','')\
+val1[6].replace('"','').replace('\\','').replace(' ','')\
+val1[7].replace('"','').replace('\\','').replace(' ','')\
+val1[8].replace('"','').replace('\\','').replace(' ','')\
+val1[9].replace('"','').replace('\\','').replace(' ','')\
+val1[10].replace('"','').replace(')','').replace(';','').replace(' ','')+']')
delay_mat=np.array(delay_mat)
delay_mat= np.reshape(delay_mat,(7,7))
if in1[3]!=None and in2[4]!=None and val1:
medvalin1=statistics.median(eval('['+in1[3]+']'))
medvalin2=statistics.median(eval('['+in2[4]+']'))
medinin1=eval('['+in1[3]+']').index(medvalin1)
medinin2=eval('['+in2[4]+']').index(medvalin2)
if delay_mat[medinin1][medinin2] > max_delay_val:
max_delay_val=delay_mat[medinin1][medinin2]
max_delay_list=delay_mat[medinin1].tolist()
max_pin=max_pin.replace(max_pin[:],relpin[2])
max_in1_list=eval('['+in1[3]+']')
max_in2_list=eval('['+in2[4]+']')
else:
relpin=re.search('(\srelated_pin.*:)\s*"?(.[^;"]*)',cell_info[i.span()[0]:timesec[timesec.index(i)+1].span()[1]])
in1=re.search('(\s*cell_rise.*)\n(\s*index_1\()"?(.[^");]*)'\
,cell_info[i.span()[0]:timesec[timesec.index(i)+1].span()[1]])
in2=re.search('(\s*cell_rise.*)(\n.*){2}(\s*index_2\()"?(.[^");]*)'\
,cell_info[i.span()[0]:timesec[timesec.index(i)+1].span()[1]])
val1=re.search('(\s*cell_rise.*)(\n.*){2}(\s*values\("?)(.*)\n(.*)\n(.*)\n(.*)\n(.*)\n(.*)\n(.*)'\
,cell_info[i.span()[0]:timesec[timesec.index(i)+1].span()[1]])
if in1 and in2 and val1:
delay_mat=eval('['+val1[4].replace('"','').replace('\\','')+val1[5].replace('"','').replace('\\','').replace(' ','')\
+val1[6].replace('"','').replace('\\','').replace(' ','')\
+val1[7].replace('"','').replace('\\','').replace(' ','')\
+val1[8].replace('"','').replace('\\','').replace(' ','')\
+val1[9].replace('"','').replace('\\','').replace(' ','')\
+val1[10].replace('"','').replace(')','').replace(';','').replace(' ','')+']')
#print(relpin[2],delay_mat)
delay_mat=np.array(delay_mat)
delay_mat = np.reshape(delay_mat,(7,7))
if in1[3]!=None and in2[4]!=None and val1:
medvalin1=statistics.median(eval('['+in1[3]+']'))
medvalin2=statistics.median(eval('['+in2[4]+']'))
medinin1=eval('['+in1[3]+']').index(medvalin1)
medinin2=eval('['+in2[4]+']').index(medvalin2)
if delay_mat[medinin1][medinin2] > max_delay_val:
max_delay_val=delay_mat[medinin1][medinin2]
max_delay_list=delay_mat[medinin1].tolist()
max_pin=max_pin.replace(max_pin[:],relpin[2])
max_in1_list=eval('['+in1[3]+']')
max_in2_list=eval('['+in2[4]+']')
end1=time.time()
time_of_extract_max_delay_rise+=end1-start1
return max_in1_list,max_in2_list,max_delay_list,max_delay_val,max_pin
def make_summary(self):
counter=0
distinct_name_of_cell={}
if 'sky' in self.path:
function=open(f'/home/{getpass.getuser()}/Desktop/summary_csv(sky).csv','w').close()
function=open(f'/home/{getpass.getuser()}/Desktop/summary_csv(sky).csv','a')
write1=csv.writer(function)
write1.writerow(['Distinct Cell Name','Total Cells','Cell list','Function List',\
'Area List','No of Input List'])
else:
termcolor.cprint("WARNING!!! This file related to another technology so, please test the Lib Analyzer Software Again","orange")
termcolor.cprint("Maybe there is no summary data generated regarding this anonymos technology","orange")
function=open('function_based_summary(others)','w').close()
function=open('function_based_summary(others)','a')
for i in self.dic.keys():
sky=re.search('(.*__)(.*)(_.*)',i)
if sky:
name=re.sub('\d','',sky[2])
if name not in distinct_name_of_cell:
counter+=1
distinct_name_of_cell[name]={}
distinct_name_of_cell[name]['no._of_cells']=int(1)
distinct_name_of_cell[name]['name_of_cell']=[]
distinct_name_of_cell[name]['function']=[]
distinct_name_of_cell[name]['Area']=[]
distinct_name_of_cell[name]['number_of_inputs']=[]
distinct_name_of_cell[name]['name_of_cell'].append(i)
distinct_name_of_cell[name]['function'].append(self.dic[i]['function'])
distinct_name_of_cell[name]['Area'].append(self.dic[i]['area'])
distinct_name_of_cell[name]['number_of_inputs'].append(self.dic[i]['direction'].count('input'))
else:
distinct_name_of_cell[name]['no._of_cells']+=1
distinct_name_of_cell[name]['name_of_cell'].append(i)
distinct_name_of_cell[name]['Area'].append(self.dic[i]['area'])
distinct_name_of_cell[name]['function'].append(self.dic[i]['function'])
distinct_name_of_cell[name]['number_of_inputs'].append(self.dic[i]['direction'].count('input'))
for i in distinct_name_of_cell.keys():
write1.writerow([i,len(distinct_name_of_cell[i]['name_of_cell'])\
,distinct_name_of_cell[i]['name_of_cell']\
,distinct_name_of_cell[i]['function'],distinct_name_of_cell[i]['Area']\
,distinct_name_of_cell[i]['number_of_inputs']])
#Cell=Cell_info_extract('/home/mmohsin/eelgui/skylibfiles/sky130_fd_sc_hd__tt_025C_1v80.lib')
#Cell.cell_rise_matrix_extract(Cell.output_info['sky130_fd_sc_hd__xor3_1'])
#Cell.cell_fall_matrix_extract(Cell.total_cell_info['sky130_fd_sc_hd__xor3_1'])
#Cell.extract_max_capacitance(Cell.total_cell_info['sky130_fd_sc_hd__xor3_1'])
#Cell.extract_pin_name(self.total_cell_info['sky130_fd_sc_hd__xor3_1'])
#Cell.extract_max_transition_of_pins(self.total_cell_info['sky130_fd_sc_hd__xor3_1'])
#Cell.extract_direction_of_pins(self.total_cell_info['sky130_fd_sc_hd__xor3_1'])
#
#Cell.extract_area_of_cell(self.total_cell_info['sky130_fd_sc_hd__xor3_1'])
#Cell.extract_function_of_cell(self.total_cell_info['sky130_fd_sc_hd__xor3_1'])
#Cell.extract_leakage_power(self.total_cell_info['sky130_fd_sc_hd__xor3_1'])