Hello,
Would you like to know how many named function parameters are used in the source files?
How do you think about to try the following semantic query approach out a bit more?
@initialize:python@
@@
import sys
import sqlalchemy
sys.stderr.write("\n".join( ("Using SQLAlchemy version:",
sqlalchemy.__version__) ))
sys.stderr.write("\n")
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import sessionmaker
engine = create_engine("sqlite:///:memory:", echo=False)
base = declarative_base()
class function(base):
__tablename__ = "numbers"
name = Column(String, primary_key=True)
source_file = Column(String, primary_key=True)
line = Column(Integer, primary_key=True)
column = Column(Integer, primary_key=True)
parameter_number = Column(Integer)
def __repr__(self):
return """<function(name='%s',
source_file='%s',
line='%s',
column='%s',
parameter_number='%s')>""" % (self.name,
self.source_file,
self.line,
self.column,
self.parameter_number)
configured_session = sessionmaker(bind=engine)
session = configured_session()
base.metadata.create_all(engine)
def store_number(fun, source, count):
"""Add an integer to an internal table."""
for place in source:
entry = function(name = fun,
source_file = place.file,
line = place.line,
column = int(place.column) + 1,
parameter_number = count)
session.add(entry)
@counting_parameters@
identifier work;
parameter list[number] pl;
position pos;
type return_type;
@@
return_type work@pos(pl)
{
...
}
@script:python collection@
fun << counting_parameters.work;
count << counting_parameters.number;
place << counting_parameters.pos;
@@
store_number(fun, place, count)
@finalize:python@
@@
session.commit()
from sqlalchemy import func
entries = session.query(func.count("*")).select_from(function).scalar()
if entries > 0:
delimiter = "|"
sys.stdout.write(delimiter.join( ("number", "incidence") ))
sys.stdout.write("\r\n")
for number, incidence in session.query(function.parameter_number,
func.count("*")).group_by(function.parameter_number):
sys.stdout.write(delimiter.join( (str(number), str(incidence)) ))
sys.stdout.write("\r\n")
else:
sys.stderr.write("No result for this analysis!\n")
elfring@Sonne:~/Projekte/Coccinelle/Probe> XX=$(date) && spatch.opt -timeout 12 -sp-file list_parameter_numbers2.cocci -dir /usr/src/linux-stable > list_parameter_numbers2.txt 2> list_parameter_numbers2-errors.txt ; YY=$(date) && echo "$XX * $YY"
Di 16. Dez 18:51:03 CET 2014 * Di 16. Dez 19:16:28 CET 2014
...
elfring@Sonne:~/Projekte/Coccinelle/Probe> cat list_parameter_numbers2.txt
number|incidence
0|46
1|161270
2|103405
3|55551
4|25947
5|9569
6|4907
7|1860
8|738
9|335
10|177
11|108
12|64
13|20
14|11
15|8
16|4
17|5
18|1
21|1
22|1
Do you find such an analysis result from the source files for Linux 3.18
(with the help of the software "Coccinelle 1.0.0-rc23") interesting
for further considerations?
Regards,
Markus
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