Paul Ganssle pganssle

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Intro

Most of us have faced a point when trying to make things work with the Python datetime module by just trying things around. Datetime is one of those APIs that seems easy to use but requires the developer to have a deep understanding of what things actually mean, as otherwise it is really easy to introduce unexpected bugs given the actual complexity of date and time related issues.

Time Standards

The first concept we need to grasp when working with time is a standard that defines how we can measure units of time. The same way we have standards to measure weight or length that define kilograms or meters, we need a way to accurately define what

Instructions

These are steps for attempting to reproduce this test failure.

Get the repository

If you don't have CPython cloned locally

If you don't already have a local CPython clone, go to wherever you clone repositories and execute:

git clone [email protected]:python/cpython.git
cd cpython

	from __future__ import division
	import struct
	import bz2

	# Generate data - round to nearest 1e11 so that no data is lost when formatting in ASCII
	xx = range(10**7)
	x = [round(ii1e11)/(1e11len(xx)) for ii in xx]
	sx = struct.pack('d'len(x), x)

	# Write it to file as a text and binary file

	from datetime import datetime, timedelta

	try:
	from itertools import islice, filterfalse
	except ImportError:
	# Python 2.x
	from itertools import islice, ifilterfalse as filterfalse


	def _daily(start_date=datetime.now(), interval=1):

	import pandas as pd
	import sys

	pdf = pd.DataFrame(dict(name= ('Earl', 'Eve', 'Alan', 'Randall', 'Danielle'),
	age= ( 29, 17, 73, 31, 62),
	gender= ( 'M', 'F', 'M', 'M', 'F'),
	nationality=( 'US', 'UK', 'CAN', 'CAN', 'US'),
	height= ( 182.9, 167.6, 175.3, 170.2, 172.8)),
	columns=('name', 'age', 'gender', 'nationality', 'height'))
	pdf = pdf.set_index('name')

	import random
	import string

	from timeit import timeit

	def _recombine_skipped_queue(tokens, skipped_idxs):
	"""
	>>> tokens = ["foo", " ", "bar", " ", "19June2000", "baz"]
	>>> skipped_idxs = set([0, 1, 2, 5])
	>>> _recombine_skipped(tokens, skipped_idxs)

	import timeit
	import operator

	def time_func(f, N, k=3):
	"""Basic version of IPython's %timeit magic"""
	t = min(timeit.timeit(f, number=N) for _ in range(k))

	t_per = t / N
	if t_per < 1e-6:
	units = 'ns'

	#!/usr/bin/env bash

	# Parse CLI arguments
	REGEXES=()
	POSITIONAL=()
	while [[ $# -gt 0 ]]; do
	key=$1
	case $key in
	-r\|--regex)
	REGEXES+=("$2")

	#![feature(concat_idents,duration_as_u128)]

	extern crate pyo3;

	use std::thread;
	use std::time;

	use pyo3::prelude::*;
	use pyo3::ffi::*;
	use std::ffi::CString;