#!/usr/bin/python2
# coding: utf-8
#
# World Clock, copyright (c) 2013 Nick Montfort <nickm@nickm.com>
#
# Copying and distribution of this file, with or without modification, are
# permitted in any medium without royalty provided the copyright notice and
# this notice are preserved. This file is offered as-is, without any warranty.
#
# Updated 26 November 2018, substituted a shorter all-permissive license
# Written 27 November 2013

from datetime import datetime
from random import choice, shuffle, random
import pytz

def frontmatter():
    print '\pagenumbering{gobble}'
    print
    print '## World Clock'
    print '\pagebreak'
    print
    print '&nbsp;'
    print
    print '\pagebreak'
    print
    print '# World Clock'
    print
    print '## Nick Montfort'
    print
    print 'Bad Quarto'
    print 'Cambridge,'
    print 'Massachusetts'
    print
    print '\pagebreak'
    print
    print 'Copyright &copy; 2013 Nick Montfort'
    print
    print 'Generated (with free software) &amp; printed in the United States of America'
    print '\pagebreak'
    print
    print '>The originality of _One Human Minute_ lies in its being not a statistical compilation of information about what has taken place, like an ordinary almanac, but rather _synchronous_ with the human world, like a computer of the type that we say works in real time, a device tracking phenomena as they occur.'
    print '>'
    print '>&mdash;Stanislaw Lem'
    print
    print '\pagebreak'
    print
    print '&nbsp;'
    print
    print '\pagebreak'
    print '\pagenumbering{arabic}'

def fresh(x):
    i = int(len(x)/2 + random() * (len(x) - len(x)/2))
    return [x[i]] + x[:i] + x[i+1:]

now = ['only a moment before', 'almost', 'right about', 'exactly', 'precisely', 'right at', 'as it happens']

negative = ['furtive', 'ramshackle', 'decrepit', 'cookie-cutter', 'undistinguished', 'typical', 'run-down', 'small', 'dim', 'plain', 'ordinary', 'cramped']
shuffle(negative)

positive = ['sturdy', 'charming', 'tidy', 'homey', 'suitable', 'adequate', 'sound', 'orderly', 'nestlike', 'comfortable', 'nice', 'decent']
shuffle(positive)

place = ['habitat', 'accommodation', 'shelter', 'residence', 'domicile', 'abode', 'habitation', 'dwelling', 'structure', 'location', 'house', 'edifice']
shuffle(place)

a_man = ['an individual', 'someone', 'a man', 'a person', 'a youth', 'an old man']

a_woman = ['an individual', 'someone', 'a woman', 'a person', 'a youth', 'an old woman']

named = ['named', 'named', 'named', 'named', 'known as', 'who is called']

male_names = ['Abdallah', 'Abdel-Rahman', 'Abi', 'Abinet', 'Abraham', 'Ahmed', 'Ali', 'Amanual', 'Araya', 'Asfaw', 'Bereket', 'Berhane', 'Bilal', 'Biniam', 'Biruk', 'Daniel', 'Dawit', 'Derege', 'Elias', 'Ephrem', 'Ermias', 'Eyobel', 'Ezra', 'Fasil', 'Gebre', 'Haile', 'Halim', 'Hamza', 'Hanok', 'Hassan', 'Hewan', 'Hussein', 'Ibrahim', 'Karim', 'Khaled', 'Kidus', 'Kirubel', 'Mahmoud', 'Mathios', 'Melak', 'Mohammed', 'Murad', 'Mustafa', 'Nahum', 'Omar', 'Robel', 'Selim', 'Shewit', 'Tadesse', 'Taha', 'Tamiru', 'Tamrat', 'Tareq', 'Teodros', 'Yared', 'Yassin', 'Yonas', 'Yordanos', 'Youssef', 'Zecharias', 'An', 'Bo', 'Cheng', 'De', 'Dong', 'Feng', 'Gang', 'Guo', 'Hui', 'Jian', 'Jie', 'Kang', 'Liang', 'Ning', 'Peng', 'Tao', 'Wei', 'Yong', 'Wen', 'Alexander', 'Sergei', 'Dmitry', 'Andrei', 'Alexey', 'Maxim', 'Evgeny', 'Ivan', 'Mikhail', 'Artyom', 'Bill', 'Jim', 'Nick', 'Darius', 'Leonardo', 'Scott', 'Christian', 'Darren', 'Kenny', 'Brad', 'Zenon']
shuffle(male_names)

female_names = ['Abeba', 'Alem', 'Almaz', 'Ashraqat', 'Aya', 'Azeb', 'Bethlehem', 'Dalal', 'Desta', 'Doha', 'Eden', 'Elsa', 'Fajr', 'Farida', 'Fatima', 'Fatin', 'Fatma', 'Feven', 'Gamalat', 'Gamila', 'Haben', 'Habiba', 'Hasnaa', 'Helen', 'Hosna', 'Hosniya', 'Jerusalem', 'Kedist', 'Leah', 'Lili', 'Luwam', 'Lydia', 'Maha', 'Mahlet', 'Manna', 'Marone', 'Messeret', 'Rahiel', 'Reem', 'Rowan', 'Ruth', 'Saba', 'Sahar', 'Samrawit', 'Sara', 'Senait', 'Shahd', 'Shaimaa', 'Shewit', 'Suha', 'Tigist', 'Tizita', 'Tsega', 'Tsege', 'Yeshi', 'Yohana', 'Zewdy', 'Ai', 'Bi', 'Cai', 'Dan', 'Fang', 'Hong', 'Hui', 'Juan', 'Lan', 'Li', 'Lian', 'Na', 'Ni', 'Qian', 'Qiong', 'Shan', 'Shu', 'Ting', 'Xia', 'Xian', 'Yan', 'Yun', 'Zhen', 'Anastasia', 'Yelena', 'Olga', 'Natalia', 'Yekaterina', 'Anna', 'Tatiana', 'Maria', 'Irina', 'Yulia', 'Jennifer', 'Katie', 'Ali', 'Buffy', 'Christie', 'Stephanie', 'Vanessa', 'Johanna', 'Amaranth', 'Jill', 'Katarzyna']
shuffle(female_names)

size = ['is on the small side', 'is of completely average stature', 'is rather large', 'towers over most people', 'usually turns to look up to other people', 'is significantly smaller than others of the same age', 'is quite sizable and imposing', 'is no larger or smaller than one would expect']
shuffle(size)

packaging = ['the ingredient list', 'the warning message', 'some sort of exclamation', 'an entirely made-up word', 'a tiny numeric code']

product = ['on a box of breakfast cereal', 'on an over-the-counter drug container', 'on a small packet', 'off the label of a tin can', 'from a recipe clipping']

condition = ['crumbling', 'well-preserved', 'pristine', 'wrinkled', 'stained', 'canary-colored', 'embossed']

document = ['letter', 'certificate', 'note', 'manuscript', 'contract', 'report', 'envelope', 'card']

action = ['nods, very deliberately', 'raises one eyebrow', 'looks away, then back', 'chews a fingernail', 'sits up straight', 'suddenly collapses', 'scratches one ear', 'zones completely out', 'hums quietly', 'turns entirely around', 'smiles a tiny smile', 'frowns a slight frown']

frontmatter()

for hour in range(24):
    print
    print '## ' + str(hour)
    print
    for minute in range(60):
        now = fresh(now)
        negative = fresh(negative)
        positive = fresh(positive)
        modifiers = [negative[0], positive[0], positive[0] + ' yet ' + negative[0], negative[0] + ' yet ' + positive[0]]
        place_adj = choice(modifiers)

        pronoun = choice(['He', 'She'])
        if pronoun == 'He':
            male_names = fresh(male_names)
            name = male_names[0]
            a_man = fresh(a_man)
            person = a_man[0]
        else:
            female_names = fresh(female_names)
            name = female_names[0]
            a_woman = fresh(a_woman)
            person = a_woman[0]

        named = fresh(named)
        size = fresh(size)
        if choice(['product', 'document']) == 'product':
            packaging = fresh(packaging)
            product = fresh(product)
            reading_matter = packaging[0] + ' ' + product[1]
        else:
            condition = fresh(condition)
            document = fresh(document)
            reading_matter = 'a ' + condition[0] + ' ' + document[0]

        action = fresh(action)

        utc_time = datetime(2000, 1, 1, hour, minute, 0, tzinfo=pytz.utc)
        tz_names = pytz.common_timezones[:-8]
        tz_names.remove('GMT')
        tz_names.remove('Antarctica/South_Pole')
        tz_names.remove('Antarctica/DumontDUrville')
        tz_names.remove('Canada/Atlantic')
        tz_names.remove('Canada/Central')
        tz_names.remove('Canada/Eastern')
        tz_names.remove('Canada/Mountain')
        tz_names.remove('Canada/Newfoundland')
        tz_names.remove('Canada/Pacific')
        tz_names.remove('Pacific/Easter')
        tz_name = choice(tz_names)
        new_zone = pytz.timezone(tz_name)
        loc_time = utc_time.astimezone(new_zone)
        current_local_time = loc_time.strftime('%H:%M')
        locale = tz_name.split('/')[-1]
        locale = ' '.join(locale.split('_'))
        if locale in ['Maldives', 'Azores', 'Isle of Man', 'Vatican']:
            locale = 'the ' + locale
        if locale in ['Canary', 'Faroe']:
            locale = 'the ' + locale + ' Islands'
        if locale[:3] == 'St ':
            locale = 'St. ' + locale[3:]

        print 'It is now ' + now[0] + ' ' + current_local_time + ' in ' + locale + '. In some ' + place_adj + ' ' + choice(place) + ' ' + person + ' ' + named[0] + ' ' + name + ', who ' + size[0] + ', reads ' + reading_matter + '. ' + pronoun + ' ' + action[0] + '.'
        print
    print '\pagebreak'