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#!/usr/bin/env python3
"""
**********************************************************************
Copyright(c) 2017-2024, Intel Corporation All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
**********************************************************************
"""
import sys
# Number of parameters (ARCH, CIPHER_MODE, DIR, HASH_ALG, KEY_SIZE)
PAR_NUM = 5
COL_WIDTH = 19
CYCLE_COST = False
PACKET_SIZE = 0
SLOPE = False
THROUGHPUT = False
CLOCK_SPEED = 0
class Variant(object):
"""
Class representing one test including chosen parameters and
results of average execution times
"""
def __init__(self, **args):
self.params = (args['arch'], args['cipher'], args['dir'], args['alg'],
args['keysize'])
self.avg_times = []
self.slope = None
self.intercept = None
def set_times(self, avg_times):
"""
Fills test execution time list
"""
self.avg_times = avg_times
def lin_reg(self, sizes):
"""
Computes linear regression of set of coordinates (x,y)
"""
n = len(sizes)
if n != len(self.avg_times):
print("Error!")
return None
sumx = sum(sizes)
sumy = sum(self.avg_times)
sumxy = sum([x * y for x, y in zip(sizes, self.avg_times)])
sumsqrx = sum([pow(x, 2) for x in sizes])
self.slope = (n * sumxy - sumx * sumy) / float(n * sumsqrx - pow(sumx, 2))
self.intercept = (sumy - self.slope * sumx) / float(n)
def get_params(self):
"""
Returns all parameters as an array
"""
return self.params
def get_lin_func_str(self):
"""
Returns string having linear coefficients
"""
slope = "{:.5f}".format(self.slope)
intercept = "{:.5f}".format(self.intercept)
return (slope + " "*(COL_WIDTH-len(str(slope)))\
+ intercept\
+ " "*(COL_WIDTH-len(str(intercept))))
def print_row_compare(self, obj_b):
"""
Returns throughput and cycle cost
"""
cycle_cost_a = self.slope * int(PACKET_SIZE) + self.intercept
formatted_a = "{:.5f}".format(cycle_cost_a)
if obj_b != None:
cycle_cost_b = obj_b.slope * int(PACKET_SIZE) + obj_b.intercept
formatted_b = "{:.5f}".format(cycle_cost_b)
if THROUGHPUT:
packet_size_bits = int(PACKET_SIZE) * 8
throughput_a = "{:.2f}".format((int(CLOCK_SPEED) * packet_size_bits) /cycle_cost_a )
if obj_b is None:
return (throughput_a)
else:
throughput_b = "{:.2f}".format((int(CLOCK_SPEED) * packet_size_bits) / cycle_cost_b)
return (throughput_a + " "*(COL_WIDTH-len(str(throughput_a))) + throughput_b)
if obj_b is None:
return (formatted_a)
else:
return (formatted_a + " "*(COL_WIDTH-len(str(formatted_a))) + formatted_b)
class VarList(list):
"""
Class used to store all test variants as a list of objects
"""
def find_obj(self, params):
"""
Finds first occurrence of object containing given parameters
"""
ret_val = None
matches = (obj for obj in self if obj.params == params)
try:
ret_val = next(matches)
except StopIteration:
pass
return ret_val
def compare(self, list_b, tolerance):
"""
Finds variants from two data sets which are matching and compares
its linear regression coefficients.
Compares list_b against itself.
"""
if tolerance is None:
tolerance = 5.0
if tolerance < 0.0:
print("Bad argument: Tolerance must not be less than 0%")
exit(1)
print("TOLERANCE: {:.2f}%".format(tolerance))
warning = False
#Checks if CYCLE_COST/THROUGHPUT/SLOPE has been set to true with the
#commandline flags and prints the appropriate values
if CYCLE_COST:
headings = ["NO", "ARCH", "CIPHER", "DIR", "HASH",
"KEYSZ", "CYCLE_COST_A", "CYCLE_COST_B"]
print("Buffer size: {} bytes".format(PACKET_SIZE))
elif THROUGHPUT:
headings = ["NO", "ARCH", "CIPHER", "DIR", "HASH",
"KEYSZ", "THROUGHPUT_A", "THROUGHPUT_B"]
print("Buffer size: {} bytes".format(PACKET_SIZE))
print("Clock speed: {} MHz\nThroughput unit: Mbps".format(CLOCK_SPEED))
else:
headings = ["NO", "ARCH", "CIPHER", "DIR", "HASH",
"KEYSZ", "SLOPE_A", "INTERCEPT_A", "SLOPE_B", "INTERCEPT_B"]
print("".join(j.ljust(COL_WIDTH) for j in headings))
for i, obj_a in enumerate(self):
obj_b = list_b.find_obj(obj_a.params)
if obj_b is None:
continue
if obj_a.slope < 0.0:
obj_a.slope = 0
if obj_b.slope < 0.0:
obj_b.slope = 0
slope_bv = 0.01 * tolerance * obj_a.slope # border value
intercept_bv = 0.01 * tolerance * obj_a.intercept
diff_slope = obj_b.slope - obj_a.slope
diff_intercept = obj_b.intercept - obj_a.intercept
if (obj_a.slope > 0.001 and obj_b.slope > 0.001 and
diff_slope > slope_bv) or diff_intercept > intercept_bv:
warning = True
data = (obj_b.get_params())
number = i +1
if CYCLE_COST:
print(str(number) + " "*(COL_WIDTH-len(str(number)))\
+ "".join(j.ljust(COL_WIDTH) for j in data)\
+ obj_a.print_row_compare(obj_b))
elif THROUGHPUT:
print(str(number) + " "*(COL_WIDTH-len(str(number)))\
+ "".join(j.ljust(COL_WIDTH) for j in data)\
+ obj_a.print_row_compare(obj_b))
else:
print(str(number) + " "*(COL_WIDTH-len(str(number)))\
+ "".join(j.ljust(COL_WIDTH) for j in data)\
+ obj_a.get_lin_func_str()\
+ obj_b.get_lin_func_str())
if not warning:
print("No differences found.")
return warning
def printout(self):
"""
Prints out readable representation of the list. Self.analyze is set to true.
"""
if CYCLE_COST:
headings = ["NO", "ARCH", "CIPHER", "DIR", "HASH",
"KEYSZ", "CYCLE_COST_A"]
print("Buffer size: {} bytes".format(PACKET_SIZE))
elif THROUGHPUT:
headings = ["NO", "ARCH", "CIPHER", "DIR", "HASH",
"KEYSZ", "THROUGHPUT_A"]
print("Buffer size: {} bytes".format(PACKET_SIZE))
print("Clock speed: {} MHz\nThroughput unit: Mbps".format(CLOCK_SPEED))
else:
headings = ["NO", "ARCH", "CIPHER", "DIR", "HASH",
"KEYSZ", "SLOPE_A", "INTERCEPT_A"]
print("".join(j.ljust(COL_WIDTH) for j in headings))
for i, obj in enumerate(self):
number = i+1
data = obj.get_params()
if CYCLE_COST:
print (str(number) + " "*(COL_WIDTH-len(str(number)))\
+ "".join(j.ljust(COL_WIDTH) for j in data)\
+ obj.print_row_compare(None))
elif THROUGHPUT:
print (str(number) + " "*(COL_WIDTH-len(str(number)))\
+ "".join(j.ljust(COL_WIDTH) for j in data)\
+ obj.print_row_compare(None))
else:
print (str(number) + " "*(COL_WIDTH-len(str(number)))\
+ "".join(j.ljust(COL_WIDTH) for j in data)\
+ obj.get_lin_func_str())
class Parser(object):
"""
Class used to parse a text file containing performance data
"""
def __init__(self, fname, verbose):
self.fname = fname
self.verbose = verbose
@staticmethod
def convert2int(in_tuple):
"""
Converts a tuple of strings into a list of integers
"""
result = list(in_tuple) # Converting to list
result = [int(i) for i in result] # Converting str to int
return result
def load(self):
"""
Reads a text file by columns, stores data in objects
for further comparison of performance
"""
v_list = VarList()
# Reading by columns, results in list of tuples
# Each tuple is representing a column from a text file
try:
f = open(self.fname, 'r')
except IOError:
print("Error reading {} file.".format(self.fname))
exit(1)
else:
with f:
cols = list(zip(*(line.strip().split('\t') for line in f)))
# Reading first column with payload sizes, omitting first 5 rows
sizes = self.convert2int(cols[0][PAR_NUM:])
if self.verbose:
print("Available buffer sizes:\n")
print(sizes)
print("========================================================")
print("\n\nVariants:\n")
# Reading remaining columns containing performance data
for row in cols[1:]:
# First rows are run options
arch, c_mode, c_dir, h_alg, key_size = row[:PAR_NUM]
if self.verbose:
print(arch, c_mode, c_dir, h_alg, key_size)
# Getting average times
avg_times = self.convert2int(row[PAR_NUM:])
if self.verbose:
print(avg_times)
print("------")
# Putting new object to the result list
v_list.append(Variant(arch=arch, cipher=c_mode, dir=c_dir,
alg=h_alg, keysize=key_size))
v_list[-1].set_times(avg_times)
# Finding linear function representation of data set
v_list[-1].lin_reg(sizes)
if self.verbose:
print("({},{})".format(v_list[-1].slope, v_list[-1].intercept))
print("============\n")
return v_list, sizes
class DiffTool(object):
"""
Main class
"""
def __init__(self):
self.fname_a = None
self.fname_b = None
self.tolerance = None
self.verbose = False
self.analyze = False
@staticmethod
def usage():
"""
Prints usage
"""
print("This tool compares file_b against file_a printing out differences.")
print("Usage:")
print("\tipsec_diff_tool.py [-v] [-a] [-c] [-t] [-s] file_a file_b [tol]\n")
print("\t-v - verbose")
print("\t-a - takes only one file to analyze")
print("\t-c - takes packet size as argument and then it will calculate cycle cost")
print("\t-t - takes packet size and clock speed as arguments and then it will calculate throughput in Mbps")
print("\t-s - calculates the slope and intercept")
print("\tfile_a, file_b - text files containing output from imb-perf tool")
print("\ttol - tolerance [%], must be >= 0, default 5\n")
print("Examples:")
print("\tdefault no arguments prints slope and intercept")
print("\tipsec_diff_tool.py file01.txt file02.txt")
print("\tipsec_diff_tool.py -s file01.txt file02.txt 10")
print("\tipsec_diff_tool.py -a -s file02.txt")
print("\tipsec_diff_tool.py -v -a -s file01.txt")
print("\tipsec_diff_tool.py -c 512 file01.txt file02.txt")
print("\tipsec_diff_tool.py -t 512 2200 file01.txt file02.txt")
def parse_args(self):
"""
Get commandline arguments
"""
global PACKET_SIZE
global CYCLE_COST
global THROUGHPUT
global SLOPE
global CLOCK_SPEED
if len(sys.argv) < 3 or sys.argv[1] == "-h":
self.usage()
exit(1)
for i in range(len(sys.argv)):
arg = sys.argv[i]
if arg == "-c":
CYCLE_COST = True
if sys.argv[i+1].isdigit():
PACKET_SIZE = sys.argv[i+1]
else:
print("Please enter a number for the packet size for cycle cost")
exit(1)
if arg == "-v":
self.verbose = True
if arg == "-a":
self.analyze = True
if arg == "-s":
SLOPE = True
if arg == "-t":
THROUGHPUT = True
if sys.argv[i+1].isdigit() and sys.argv[i+2].isdigit():
PACKET_SIZE = sys.argv[i+1]
CLOCK_SPEED = sys.argv[i+2]
else:
print("Please enter values for the packet size and clock speed for throughput")
exit(1)
length = len(sys.argv)
if self.analyze:
self.fname_a = sys.argv[length-1]
else:
if sys.argv[length-1].isdecimal():
self.tolerance = float(sys.argv[length-1])
self.fname_a = sys.argv[length-3]
self.fname_b = sys.argv[length-2]
else:
self.fname_a = sys.argv[length-2]
self.fname_b = sys.argv[length-1]
def run(self):
"""
Main method
"""
self.parse_args()
parser_a = Parser(self.fname_a, self.verbose)
list_a, sizes_a = parser_a.load()
if not self.analyze:
parser_b = Parser(self.fname_b, self.verbose)
list_b, sizes_b = parser_b.load()
if sizes_a != sizes_b:
print("Error. Buffer size lists in two compared " \
"data sets differ! Aborting.\n")
exit(1)
warning = list_a.compare(list_b, self.tolerance) # Compares list_b against list_a
if warning:
exit(2)
else:
list_a.printout() # Takes only one file and prints it out
if __name__ == '__main__':
DiffTool().run()
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