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item_58.py
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item_58.py
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#!/usr/bin/env python3
# Copyright 2014 Brett Slatkin, Pearson Education Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Preamble to mimick book environment
import logging
from pprint import pprint
from sys import stdout as STDOUT
# Example 1
def insertion_sort(data):
result = []
for value in data:
insert_value(result, value)
return result
# Example 2
def insert_value(array, value):
for i, existing in enumerate(array):
if existing > value:
array.insert(i, value)
return
array.append(value)
# Example 3
from random import randint
max_size = 10**4
data = [randint(0, max_size) for _ in range(max_size)]
test = lambda: insertion_sort(data)
# Example 4
from cProfile import Profile
profiler = Profile()
profiler.runcall(test)
# Example 5
import sys
from pstats import Stats
stats = Stats(profiler)
stats = Stats(profiler, stream=STDOUT)
stats.strip_dirs()
stats.sort_stats('cumulative')
stats.print_stats()
# Example 6
from bisect import bisect_left
def insert_value(array, value):
i = bisect_left(array, value)
array.insert(i, value)
profiler = Profile()
profiler.runcall(test)
stats = Stats(profiler, stream=STDOUT)
stats.strip_dirs()
stats.sort_stats('cumulative')
stats.print_stats()
# Example 7
def my_utility(a, b):
c = 1
for i in range(100):
c += a * b
def first_func():
for _ in range(1000):
my_utility(4, 5)
def second_func():
for _ in range(10):
my_utility(1, 3)
def my_program():
for _ in range(20):
first_func()
second_func()
# Example 8
profiler = Profile()
profiler.runcall(my_program)
stats = Stats(profiler, stream=STDOUT)
stats.strip_dirs()
stats.sort_stats('cumulative')
stats.print_stats()
# Example 9
stats = Stats(profiler, stream=STDOUT)
stats.strip_dirs()
stats.sort_stats('cumulative')
stats.print_callers()