mplanchard

test_array = [
    [1,  2,  3,  4],
    [5,  6,  7,  8],
    [9, 10, 11, 12],
]


# [2][0]

mplanchard

"""
========================================================================
Timing Static Methods vs. Inline Functions
========================================================================

A simple test to compare the overhead of calling static functions vs.
defining and calling inline functions.

At least in this experiment, static methods are ~15-20% faster. This
is of course not even considering their improvements in testability

mplanchard

import pytest

@pytest.mark.parametrize('foo', ('a', 'b'))
@pytest.mark.parametrize('bar', (True, False))
def test_multi(foo, bar):
    print(foo, bar)

mplanchard

import itertools
import pytest

@pytest.mark.parametrize(
    'foo, bar', itertools.product(('a', 'b'), (True, False))
)
def test_multi(foo, bar):
    print(foo, bar)

mplanchard

import pytest

@pytest.mark.parametrize('foo, bar', (
    ('a', True),
    ('a', False),
    ('b', True),
    ('b', False)
))
def test_multi(foo, bar):
    print(foo, bar)

mplanchard

import pytest

@pytest.mark.parametrize('foo', ('a', 'b'))
def test_something(foo):
    print(foo)

mplanchard

"""This gist describes how to check which version of Python is running.

This one is easy enough that there's really no reason to reach for six's
PY2/PY3 attributes.
"""

from sys import version_info

# verison_info acts like a named tuple of the form
# (major, minor, micro, releaselevel, serial), so standard tuple

mplanchard

"""This example uses the ABCMeta class as its exemplar metaclass."""

from abc import ABCMeta

# Create an instance of the metaclass. We can define __slots__ to be
# an empty tuple, because we don't need this class to store any attributes.
# This instance can be used multiple times, imported, etc., as desired.
ABC = ABCMeta('ABC', (object,), {'__slots__': ()})

mplanchard

from logging import basicConfig, getLogger
import pytest

basicConfig()
log = getLogger()
log.setLevel('DEBUG')

def func_that_logs_a_lot():
    for i in range(1000):
       log.info('foo output %s/1000', i)

mplanchard

from datetime import datetime
from timeit import timeit


iterations = int(1e6)


def method_one():
    now = datetime.now()
    hour = datetime(now.year, now.month, now.day, now.hour)