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example_025_python_profiling_parts.py
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example_025_python_profiling_parts.py
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import sys
import argparse
# import numpy as np
import cProfile
import pstats
import io
class Part:
# 'PARTKEY', 'NAME', 'MFGR', 'BRAND', 'TYPE', 'SIZE', 'CONTAINER', 'RETAILPRICE', 'COMMENT'
def __init__(self, **kwargs):
self.partkey = kwargs.get('partkey', "0")
self.name = kwargs.get('name', "0")
self.mfgr = kwargs.get('mfgr', None)
self.brand = kwargs.get('brand', None)
self.type = kwargs.get('type', "")
self.size = kwargs.get('size', "0")
self.container = kwargs.get('container', "")
self.retailprice = kwargs.get('retailprice', "0")
self.comment = kwargs.get('comment', "")
def __str__(self):
return "CUSTOMER : ("+str(self.partkey) + " - " + self.name + " - " + \
self.mfgr + " - " + self.brand + " - " + self.type + " - " + \
str(self.size) + " - " + self.container + " - " + \
str(self.retailprice) + " - " + self.comment + ")"
def __eq__(self, other):
return self.partkey == other.partkey
def read_lines(filename):
'''This functions reads each line of a file and returns a list of string lines.'''
file = open(filename, 'r')
lines = []
count = 0
while True:
count += 1
# Get next line from file
line = file.readline()
# if line is empty end of file is reached
if not line:
break
else:
lines.append(line)
return lines
def parse_lines(lines):
parsed_values = []
for line in lines:
values = line.split("|")
parsed_values.append(values)
return parsed_values
def convert_toNumbers(parsed_values):
'''Drop the first line which is the header and convert the remaining lines'''
values = []
count = 0
for i in range(1, len(parsed_values)):
values.append(
[int(parsed_values[i][0]), parsed_values[i][1], parsed_values[i][2],
parsed_values[i][3], parsed_values[i][4], int(
parsed_values[i][5]),
parsed_values[i][6], float(parsed_values[i][7]), parsed_values[i][8]])
i += 1
return values
def convert_to_parts(values):
''' Find the max in a Part
'''
parts = []
for item in values:
p = Part(partkey=item[0],
name=item[1],
mfgr=item[2],
brand=item[3],
type=item[4],
size=item[5],
container=item[6],
retailprice=item[7],
comment=item[8]
)
parts.append(p)
return parts
def find_max_price(parts):
''' Find the max in a Part List '''
max_retailprice = 0.0
max_part = None
# We do linear search in the list
for part in parts:
if(part.retailprice > max_retailprice):
max_retailprice = part.retailprice
max_part = part
return max_part
def find_duplicates(parts):
duplicates=[]
while parts:
part = parts.pop()
if part in parts:
duplicates.append(part)
return duplicates
def profile(fnc):
"""A decorator that uses cProfile to profile a function"""
def inner(*args, **kwargs):
pr = cProfile.Profile()
pr.enable()
retval = fnc(*args, **kwargs)
pr.disable()
s = io.StringIO()
sortby = 'cumulative'
ps = pstats.Stats(pr, stream=s).sort_stats(sortby)
ps.print_stats()
print(s.getvalue())
return retval
return inner
@profile
def main():
# filename = sys.stdin.read()
parser = argparse.ArgumentParser(description='Example Program')
parser.add_argument('--filename', type=str, default='./datasets/part.tbl',
help='use the correct input file.')
args = parser.parse_args()
lines = read_lines(args.filename)
values = parse_lines(lines)
converted_results = convert_toNumbers(values)
# print(converted_results[0])
parts = convert_to_parts(converted_results)
# print(parts[0].retailprice)
max_part = find_max_price(parts)
print(max_part)
duplicates = find_duplicates(parts)
for part in duplicates:
print(part)
if __name__ == "__main__":
main()