pganssle

# A clang-format style that approximates Python's PEP 7
# Useful for IDE integration
BasedOnStyle: Google
AlwaysBreakAfterReturnType: All
AllowShortIfStatementsOnASingleLine: false
AlignAfterOpenBracket: Align
BreakBeforeBraces: Stroustrup
ColumnLimit: 79
DerivePointerAlignment: false
IndentWidth: 4

pganssle

# Released under MPL 2.0 per https://github.com/HypothesisWorks/hypothesis/blob/master/LICENSE.txt
# and CC-0: https://creativecommons.org/publicdomain/zero/1.0/legalcode
#
# Feel free to contact Paul Ganssle if you'd like this released under other terms.

from datetime import datetime, timedelta, timezone
from dateutil import tz

ZERO = timedelta(0)

pganssle

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 git@github.com:python/cpython.git
cd cpython

pganssle

#![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;

pganssle

#!/usr/bin/env bash

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

pganssle

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'

pganssle

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)

pganssle

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

pganssle

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')

pganssle

Keybase proof

I hereby claim:

• I am pganssle on github.
• I am pganssle (https://keybase.io/pganssle) on keybase.
• I have a public key whose fingerprint is 6B49 ACBA DCF6 BD1C A206 67AB CD54 FCE3 D964 BEFB

To claim this, I am signing this object: