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item_039.py
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#!/usr/bin/env PYTHONHASHSEED=1234 python3
# Copyright 2014-2024 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.
### Start book environment setup
import random
random.seed(1234)
import logging
from pprint import pprint
from sys import stdout as STDOUT
# Write all output to a temporary directory
import atexit
import gc
import io
import os
import tempfile
TEST_DIR = tempfile.TemporaryDirectory()
atexit.register(TEST_DIR.cleanup)
# Make sure Windows processes exit cleanly
OLD_CWD = os.getcwd()
atexit.register(lambda: os.chdir(OLD_CWD))
os.chdir(TEST_DIR.name)
def close_open_files():
everything = gc.get_objects()
for obj in everything:
if isinstance(obj, io.IOBase):
obj.close()
atexit.register(close_open_files)
### End book environment setup
print("Example 1")
import math
import functools
def log_sum(log_total, value):
log_value = math.log(value)
return log_total + log_value
result = functools.reduce(log_sum, [10, 20, 40], 0)
print(math.exp(result))
print("Example 2")
def log_sum_alt(value, log_total): # Changed
log_value = math.log(value)
return log_total + log_value
print("Example 3")
result = functools.reduce(
lambda total, value: log_sum_alt(value, total), # Reordered
[10, 20, 40],
0,
)
print(math.exp(result))
print("Example 4")
def log_sum_for_reduce(total, value):
return log_sum_alt(value, total)
result = functools.reduce(
log_sum_for_reduce,
[10, 20, 40],
0,
)
print(math.exp(result))
print("Example 5")
def logn_sum(base, logn_total, value): # New first parameter
logn_value = math.log(value, base)
return logn_total + logn_value
print("Example 6")
result = functools.reduce(
lambda total, value: logn_sum(10, total, value), # Changed
[10, 20, 40],
0,
)
print(math.pow(10, result))
print("Example 7")
result = functools.reduce(
functools.partial(logn_sum, 10), # Changed
[10, 20, 40],
0,
)
print(math.pow(10, result))
print("Example 8")
def logn_sum_last(logn_total, value, *, base=10): # New last parameter
logn_value = math.log(value, base)
return logn_total + logn_value
print("Example 9")
import math
log_sum_e = functools.partial(logn_sum_last, base=math.e) # Pinned `base`
print(log_sum_e(3, math.e**10))
print("Example 10")
log_sum_e_alt = lambda *a, base=math.e, **kw: logn_sum_last(*a, base=base, **kw)
print(log_sum_e_alt(3, math.e**10))
print("Example 11")
print(log_sum_e.args, log_sum_e.keywords, log_sum_e.func)