5.5. Case Study: Hosts

  1. Define result: list[dict], where each dict has keys:

    • ip: str

    • hosts: list[str]

  2. Iterate over lines in DATA skipping comments (#) and empty lines

  3. Extract from each line: ip and hosts

  4. Add ip and hosts to result as a dict, example:

    {'ip': '127.0.0.1', 'hosts': ['localhost', 'astromatt']}

  5. Each line must be a separate dict

5.5.1. SetUp

>>> 
... DATA = """##
... # `/etc/hosts` structure:
... #   - ip: internet protocol address (IPv4 or IPv6)
... #   - hosts: host names
...  ##
...
... 127.0.0.1       localhost
... 127.0.0.1       astromatt
... 10.13.37.1      nasa.gov esa.int
... 255.255.255.255 broadcasthost
... ::1             localhost"""

5.5.2. Solution 1

>>> 
... %%timeit -r 1000 -n 1000
... result = []
... for line in DATA.splitlines():
...     line = line.strip()
...     if len(line) == 0:
...         continue
...     if line.startswith('#'):
...         continue
...     ip, *hosts = line.split()
...     result.append({'ip':ip, 'hosts':hosts})
# 4.97 µs ± 443 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 5.18 µs ± 496 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 5.33 µs ± 698 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 5.01 µs ± 432 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 5.16 µs ± 645 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)

5.5.3. Solution 2

>>> 
... %%timeit -r 1000 -n 1000
... result = []
... for line in DATA.splitlines():
...     if line and not (line[0] == '#' or line[1] == '#'):
...         ip, *hosts = line.split()
...         result.append({'ip':ip, 'hosts':hosts})
# 4.12 µs ± 758 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 3.82 µs ± 384 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 3.89 µs ± 651 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 4.64 µs ± 1.81 µs per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 4.32 µs ± 896 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)

5.5.4. Solution 3

>>> 
... %%timeit -r 1000 -n 1000
... def is_valid_line(line):
...     return line and not (line[0] == '#' or line[1] == '#')
...
... result = []
... for line in DATA.splitlines():
...     if is_valid_line(line):
...         ip, *hosts = line.split()
...         result.append({'ip':ip, 'hosts':hosts})
# 4.97 µs ± 492 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 4.91 µs ± 580 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 5.15 µs ± 836 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 5.08 µs ± 688 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)
# 5.42 µs ± 934 ns per loop (mean ± std. dev. of 1000 runs, 1,000 loops each)