Set Up a New Mac (July 2022 Edition)

Updated from three years ago: https://bluebones.net/2019/07/set-up-a-new-mac/

  • Upgrade to latest OSX.
  • Restore home directory from Backblaze. (Or at least dotfiles, .ssh dir, .vim dir, bin directory, ~/Library/Application Support/Alfred 4/*, pwd.dsv.gpg, business, travel)
  • Alfred (and give it Accessibility access, add license key).
  • Dock: remove everything, hiding on, magnification on.
  • Sublime Text 4 (add license key, set "trim_trailing_white_space_on_save": true in sublime prefs, install Package Control, install Solarized Theme).
  • subl commandline sublime.
    $ ln -s "/Applications/Sublime Text.app/Contents/SharedSupport/bin/subl" ~/u/bin/subl
  • sublime-git-ignorer: (1) add Package Control repo https://github.com/apc999/sublime-text-gitignore (2)
    add package sublime-text-gitignore (3) use menu item : File->Exclude Git-ignored (4) Give this a keyboard shortcut in Sublime, Preferences, Key Bindings with { "keys": ["alt+shift+i"], "command": "exclude_ignored" }
  • Install FiraCode and add it to Sublime Text prefs with "font_face": "Fira Code".
  • Hide Desktop icons
    $ defaults write com.apple.finder CreateDesktop false
    $ killall Finder
  • Solarized theme for Terminal and make default in preferences.
  • “Use Option as Meta Key” in Terminal to make left Alt work as Esc.
  • Use Ctrl-f7 or the Keyboard, Shortcuts in System Preferences to give Full Keyboard Access so that tab takes you to every button in a dialog, etc.
  • Homebrew. (Installs OSX commandline tools.)
  • brew install mariadb
  • brew install npm
  • brew install gimme-aws-creds
  • brew install awscli
  • brew install kubectl
  • brew install sops
  • brew install kubectx
  • brew install apache2
  • brew install php
  • Discord.
  • Change all .txt to open with Sublime Text.
  • Show hidden files in Finder. Cmd-Shift-.
  • WhatsApp.
  • 1Password.
  • Chrome. (Log in to Chrome to get uBlock Origin and other extensions.)
  • Skitch.
  • Backblaze.
  • Parallels Desktop + MTGO
  • npm install -g rtm-cli
  • Disable Ask Siri in System Preferences, Siri +Remove Ask Siri from touchbar in System Preferences, Keyboard, Customize Touch Bar…
  • Turn on “tap to click” in System Preferences, Trackpad.
  • Disable long-press (it’s wayyyyy too annoying when selecting text in Chrome): defaults write -g ApplePressAndHoldEnabled -bool false
  • Zoom.
  • Skype.
  • PyCharm (and Solarized theme).
  • GoLand (and Solarized theme).
  • WebStorm (and Solarized theme).
  • Spotify.

Best Guesses in Wordle

My Wordle solver thinks the best first guess is “arise”. After that things diverge pretty quick. Here are the top 20 words used during the 6,397 guesses required to solve all 2,315 words.

arise2315
bludy (when “arise” hits nothing)168
canty (when the “a” in arise hits but out of place)154
denet (when the “e” in arise hits but out of place)121
until (when the “i” hits but out of place)107
hotel (“r” and “e” out of place)100
muton (“s” out of place)80
metal (“e” and “a” out of place)79
plunk (“r” and “i” out of place)78
north (“r” out of place)64
could (“e” in correct place)63
duroy (“a” and “r” out of place)62
malty (“a”, “e” and “r” out of place)61
lanch (“a” and “s” out of place)61
clout (“i” in correct place)51
count (“r” in correct place, and after “bludy” when only the “u” hits)48
blaud (“e” in correct place, “a” in wrong place)47
plant (“i” in correct place, “s” in wrong place)44
spelt (“s” and “e” in wrong place)41
lipid (“i” and “e” in wrong place, or after “until” with “i” in right place)35

Better Wordle Solver

https://github.com/bakert/wordle

This one takes advantage of the wordlist being known and solves every word in a maximum of five guesses except “mover” which takes six.

import sys

def solve(fast = False):
    solutions = possible_solutions()
    guesses = possible_guesses()
    while True:
        if not fast:
            b = best(solutions, guesses)
            print(f"You should guess {b} ({solutions})")
        fast = False
        print("What did you guess?")
        guess = input()
        print("What was the result (in this format: _aT_r) where lowercase is orange and caps is green")
        result = input()
        solutions = resolve(guess, result, solutions)

def autosolve(solution):
    print(f"Solving {solution}")
    num_guesses = 0
    solutions = possible_solutions()
    guesses = possible_guesses()
    while len(solutions) > 1:
        if len(solutions) > 200:
            guess = 'arise'
        else:
            guess = best(solutions, guesses)
        num_guesses += 1
        print(f"Guessing {guess} {num_guesses}")
        solutions = resolve(guess, profile(guess, solution), solutions)
        print(f"{len(solutions)} solutions left ({solutions})")
        if num_guesses >= 5 and solutions != [guess]:
            print(f"Failed on {solution}")

def resolve(guess, result, solutions):
    return [solution for solution in solutions if profile(guess, solution) == result]

def profile(guess, solution):
    p = ['_', '_', '_', '_', '_']
    count = {}
    for i in range(0, len(guess)):
        if guess[i] == solution[i]:
            p[i] = guess[i].upper()
            count[guess[i]] = count.get(guess[i], 0) + 1
    for i in range(0, len(guess)):
        if p[i] == '_' and solution.count(guess[i]) > count.get(guess[i], 0):
            p[i] = guess[i]
            count[guess[i]] = count.get(guess[i], 0) + 1
    return ''.join(p)

def profiled(guess, words):
    hist = {}
    for word in words:
        p = profile(guess, word)
        hist[p] = hist.get(p, []) + [word]
    return hist

def score(guess, words):
    n = 0
    for ws in profiled(guess, words).values():
        if len(ws) > n:
            n = len(ws)
            r = ws
            if guess in words:
                n -= 0.01 # If a word is a possible solution it's a better guess than a word that has the same worst case scenario but is not a possible solution.
    if n == 0:
        return sys.maxsize
    return n, r

def best(solutions, guesses):
    n = sys.maxsize
    for guess in guesses:
        x, ws = score(guess, solutions)
        # print(f'Score for {guess} was {x}')
        if x < n:
            n = x
            final_guess = guess
    return final_guess

def possible_guesses():
    return possible_solutions() + ["aahed","aalii","aargh","aarti","abaca","abaci","abacs","abaft","abaka","abamp","aband","abash","abask","abaya","abbas","abbed","abbes","abcee","abeam","abear","abele","abers","abets","abies","abler","ables","ablet","ablow","abmho","abohm","aboil","aboma","aboon","abord","abore","abram","abray","abrim","abrin","abris","absey","absit","abuna","abune","abuts","abuzz","abyes","abysm","acais","acari","accas","accoy","acerb","acers","aceta","achar","ached","aches","achoo","acids","acidy","acing","acini","ackee","acker","acmes","acmic","acned","acnes","acock","acold","acred","acres","acros","acted","actin","acton","acyls","adaws","adays","adbot","addax","added","adder","addio","addle","adeem","adhan","adieu","adios","adits","adman","admen","admix","adobo","adown","adoze","adrad","adred","adsum","aduki","adunc","adust","advew","adyta","adzed","adzes","aecia","aedes","aegis","aeons","aerie","aeros","aesir","afald","afara","afars","afear","aflaj","afore","afrit","afros","agama","agami","agars","agast","agave","agaze","agene","agers","agger","aggie","aggri","aggro","aggry","aghas","agila","agios","agism","agist","agita","aglee","aglet","agley","agloo","aglus","agmas","agoge","agone","agons","agood","agria","agrin","agros","agued","agues","aguna","aguti","aheap","ahent","ahigh","ahind","ahing","ahint","ahold","ahull","ahuru","aidas","aided","aides","aidoi","aidos","aiery","aigas","aight","ailed","aimed","aimer","ainee","ainga","aioli","aired","airer","airns","airth","airts","aitch","aitus","aiver","aiyee","aizle","ajies","ajiva","ajuga","ajwan","akees","akela","akene","aking","akita","akkas","alaap","alack","alamo","aland","alane","alang","alans","alant","alapa","alaps","alary","alate","alays","albas","albee","alcid","alcos","aldea","alder","aldol","aleck","alecs","alefs","aleft","aleph","alews","aleye","alfas","algal","algas","algid","algin","algor","algum","alias","alifs","aline","alist","aliya","alkie","alkos","alkyd","alkyl","allee","allel","allis","allod","allyl","almah","almas","almeh","almes","almud","almug","alods","aloed","aloes","aloha","aloin","aloos","alowe","altho","altos","alula","alums","alure","alvar","alway","amahs","amain","amate","amaut","amban","ambit","ambos","ambry","ameba","ameer","amene","amens","ament","amias","amice","amici","amide","amido","amids","amies","amiga","amigo","amine","amino","amins","amirs","amlas","amman","ammon","ammos","amnia","amnic","amnio","amoks","amole","amort","amour","amove","amowt","amped","ampul","amrit","amuck","amyls","anana","anata","ancho","ancle","ancon","andro","anear","anele","anent","angas","anglo","anigh","anile","anils","anima","animi","anion","anise","anker","ankhs","ankus","anlas","annal","annas","annat","anoas","anole","anomy","ansae","antae","antar","antas","anted","antes","antis","antra","antre","antsy","anura","anyon","apace","apage","apaid","apayd","apays","apeak","apeek","apers","apert","apery","apgar","aphis","apian","apiol","apish","apism","apode","apods","apoop","aport","appal","appay","appel","appro","appui","appuy","apres","apses","apsis","apsos","apted","apter","aquae","aquas","araba","araks","arame","arars","arbas","arced","archi","arcos","arcus","ardeb","ardri","aread","areae","areal","arear","areas","areca","aredd","arede","arefy","areic","arene","arepa","arere","arete","arets","arett","argal","argan","argil","argle","argol","argon","argot","argus","arhat","arias","ariel","ariki","arils","ariot","arish","arked","arled","arles","armed","armer","armet","armil","arnas","arnut","aroba","aroha","aroid","arpas","arpen","arrah","arras","arret","arris","arroz","arsed","arses","arsey","arsis","artal","artel","artic","artis","aruhe","arums","arval","arvee","arvos","aryls","asana","ascon","ascus","asdic","ashed","ashes","ashet","asked","asker","askoi","askos","aspen","asper","aspic","aspie","aspis","aspro","assai","assam","asses","assez","assot","aster","astir","astun","asura","asway","aswim","asyla","ataps","ataxy","atigi","atilt","atimy","atlas","atman","atmas","atmos","atocs","atoke","atoks","atoms","atomy","atony","atopy","atria","atrip","attap","attar","atuas","audad","auger","aught","aulas","aulic","auloi","aulos","aumil","aunes","aunts","aurae","aural","aurar","auras","aurei","aures","auric","auris","aurum","autos","auxin","avale","avant","avast","avels","avens","avers","avgas","avine","avion","avise","aviso","avize","avows","avyze","awarn","awato","awave","aways","awdls","aweel","aweto","awing","awmry","awned","awner","awols","awork","axels","axile","axils","axing","axite","axled","axles","axman","axmen","axoid","axone","axons","ayahs","ayaya","ayelp","aygre","ayins","ayont","ayres","ayrie","azans","azide","azido","azine","azlon","azoic","azole","azons","azote","azoth","azuki","azurn","azury","azygy","azyme","azyms","baaed","baals","babas","babel","babes","babka","baboo","babul","babus","bacca","bacco","baccy","bacha","bachs","backs","baddy","baels","baffs","baffy","bafts","baghs","bagie","bahts","bahus","bahut","bails","bairn","baisa","baith"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def possible_solutions():
    return ["cigar","rebut","sissy","humph","awake","blush","focal","evade","naval","serve","heath","dwarf","model","karma","stink","grade","quiet","bench","abate","feign","major","death","fresh","crust","stool","colon","abase","marry","react","batty","pride","floss","helix","croak","staff","paper","unfed","whelp","trawl","outdo","adobe","crazy","sower","repay","digit","crate","cluck","spike","mimic","pound","maxim","linen","unmet","flesh","booby","forth","first","stand","belly","ivory","seedy","print","yearn","drain","bribe","stout","panel","crass","flume","offal","agree","error","swirl","argue","bleed","delta","flick","totem","wooer","front","shrub","parry","biome","lapel","start","greet","goner","golem","lusty","loopy","round","audit","lying","gamma","labor","islet","civic","forge","corny","moult","basic","salad","agate","spicy","spray","essay","fjord","spend","kebab","guild","aback","motor","alone","hatch","hyper","thumb","dowry","ought","belch","dutch","pilot","tweed","comet","jaunt","enema","steed","abyss","growl","fling","dozen","boozy","erode","world","gouge","click","briar","great","altar","pulpy","blurt","coast","duchy","groin","fixer","group","rogue","badly","smart","pithy","gaudy","chill","heron","vodka","finer","surer","radio","rouge","perch","retch","wrote","clock","tilde","store","prove","bring","solve","cheat","grime","exult","usher","epoch","triad","break","rhino","viral","conic","masse","sonic","vital","trace","using","peach","champ","baton","brake","pluck","craze","gripe","weary","picky","acute","ferry","aside","tapir","troll","unify","rebus","boost","truss","siege","tiger","banal","slump","crank","gorge","query","drink","favor","abbey","tangy","panic","solar","shire","proxy","point","robot","prick","wince","crimp","knoll","sugar","whack","mount","perky","could","wrung","light","those","moist","shard","pleat","aloft","skill","elder","frame","humor","pause","ulcer","ultra","robin","cynic","agora","aroma","caulk","shake","pupal","dodge","swill","tacit","other","thorn","trove","bloke","vivid","spill","chant","choke","rupee","nasty","mourn","ahead","brine","cloth","hoard","sweet","month","lapse","watch","today","focus","smelt","tease","cater","movie","lynch","saute","allow","renew","their","slosh","purge","chest","depot","epoxy","nymph","found","shall","harry","stove","lowly","snout","trope","fewer","shawl","natal","fibre","comma","foray","scare","stair","black","squad","royal","chunk","mince","slave","shame","cheek","ample","flair","foyer","cargo","oxide","plant","olive","inert","askew","heist","shown","zesty","hasty","trash","fella","larva","forgo","story","hairy","train","homer","badge","midst","canny","fetus","butch","farce","slung","tipsy","metal","yield","delve","being","scour","glass","gamer","scrap","money","hinge","album","vouch","asset","tiara","crept","bayou","atoll","manor","creak","showy","phase","froth","depth","gloom","flood","trait","girth","piety","payer","goose","float","donor","atone","primo","apron","blown","cacao","loser","input","gloat","awful","brink","smite","beady","rusty","retro","droll","gawky","hutch","pinto","gaily","egret","lilac","sever","field","fluff","hydro","flack","agape","wench","voice","stead","stalk","berth","madam","night","bland","liver","wedge","augur","roomy","wacky","flock","angry","bobby","trite","aphid","tryst","midge","power","elope","cinch","motto","stomp","upset","bluff","cramp","quart","coyly","youth","rhyme","buggy","alien","smear","unfit","patty","cling","glean","label","hunky","khaki","poker","gruel","twice","twang","shrug","treat","unlit","waste","merit","woven","octal","needy","clown","widow","irony","ruder","gauze","chief","onset","prize","fungi","charm","gully","inter","whoop","taunt","leery","class","theme","lofty","tibia","booze","alpha","thyme","eclat","doubt","parer","chute","stick","trice","alike","sooth","recap","saint","liege","glory","grate","admit","brisk","soggy","usurp","scald","scorn","leave","twine","sting","bough","marsh","sloth","dandy","vigor","howdy","enjoy","valid","ionic","equal","unset","floor","catch","spade","stein","exist","quirk","denim","grove","spiel","mummy","fault","foggy","flout","carry","sneak","libel","waltz","aptly","piney","inept","aloud","photo","dream","stale","vomit","ombre","fanny","unite","snarl","baker","there","glyph","pooch","hippy","spell","folly","louse","gulch","vault","godly","threw","fleet","grave","inane","shock","crave","spite","valve","skimp","claim","rainy","musty","pique","daddy","quasi","arise","aging","valet","opium","avert","stuck","recut","mulch","genre","plume","rifle","count","incur","total","wrest","mocha","deter","study","lover","safer","rivet","funny","smoke","mound","undue","sedan","pagan","swine","guile","gusty","equip","tough","canoe","chaos","covet","human","udder","lunch","blast","stray","manga","melee","lefty","quick","paste","given","octet","risen","groan","leaky","grind","carve","loose","sadly","spilt","apple","slack","honey","final","sheen","eerie","minty","slick","derby","wharf"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def test():
    test_resolve()
    test_profile()
    test_profiled()

def test_resolve():
    assert resolve('later', '_____', ['alert', 'disco']) == ['disco']
    assert resolve('later', 'later', ['alert', 'disco']) == ['alert']

def test_profile():
    assert profile('pouch', 'couch') == '_OUCH'
    assert profile('alert', 'disco') == '_____'
    assert profile('alert', 'later') == 'alert'

def test_profiled():
    assert profiled('later', ['alert', 'disco']) == {'_____': ['disco'], 'later': ['alert']}
    assert profiled('disco', ['alert', 'disco']) == {'DISCO': ['disco'], '_____': ['alert']}

if len(sys.argv) <= 1:
    solve()
elif sys.argv[1] == 'test':
    test()
elif sys.argv[1] == 'fast':
    # Skip the first search which will always tell you to guess 'arise' and takes a little while.
    solve(True)
elif sys.argv[1] == 'all':
    for word in possible_solutions():
        autosolve(word)
else:
    autosolve(sys.argv[1])

Wordle Solver

github.com/bakert/wordle

import random
import sys

MAX_GUESSES = 6
WORD_LENGTH = 5

class Game:
    def __init__(self):
        self.guesses = []

    def guess(self, word):
        print('Guessing ' + word)
        self.guesses.append(word)
        return word == self.word

    def incomplete(self):
        return len(self.guesses) < MAX_GUESSES

    def win(self):
        print('You won, the word was ' + self.word)

    def lose(self):
        print('You lost, the word was ' + self.word)

    def num_guesses(self):
        return len(self.guesses)

    def fixed_letter(self, n):
        for g in self.guesses:
            if self.word[n] == g[n]:
                return self.word[n]
        return None

    def wild_letters(self):
        ls = []
        for g in self.guesses:
            for l in g:
                if l in self.word:
                    ls.append(l)
        return ls

    def bad_letters(self):
        ls = []
        for g in self.guesses:
            for l in g:
                if l not in self.word:
                    ls.append(l)
        return ls

def play():
    game = Game()
    dictionary = get_dictionary()
    game.word = random.choice(dictionary)
    while game.incomplete():
        potential_answers = find_potential_answers(game, dictionary)
        hist = histogram(potential_answers)
        if game.num_guesses() == MAX_GUESSES - 1:
            guess = random.choice(potential_answers)
        else:
            best_words = find_best_words(hist, dictionary)
            guess = random.choice(best_words)
        if game.guess(guess):
            game.win()
            return
    game.lose()


def histogram(words):
    hist = {}
    for word in words:
        for letter in word:
            hist[letter] = hist.get(letter, 0) + 1
    return hist

def find_potential_answers(game, dictionary):
    r = []
    for word in dictionary:
        if not has_fixed_letters(word, game):
            continue
        if not has_wild_letters(word, game):
            continue
        if has_bad_letter(word, game):
            continue
        r.append(word)
    return r

def has_fixed_letters(word, game):
    for n in range(0, len(word)):
        if game.fixed_letter(n) and not word[n] == game.fixed_letter(n):
            return False
    return True

def has_wild_letters(word, game):
    for letter in game.wild_letters():
        if letter not in word: # it also can't be in the position(s) guessed incorrectly but we ignore that here
            return False
    return True

def has_bad_letter(word, game):
    for letter in word:
        if letter in game.bad_letters():
            return True
    return False

def find_best_words(hist, dictionary):
    r = []
    best_score = find_best_score(hist, dictionary)
    for word in dictionary:
        if score(hist, word) == best_score:
            r.append(word)
    return r

def find_best_score(hist, dictionary):
    best_score = 0
    for word in dictionary:
        best_score = max(best_score, score(hist, word))
    return best_score

def score(hist, word):
    found = []
    n = 0
    for letter in word:
        if letter not in found:
            n += hist.get(letter, 0)
            found.append(letter)
    return n

def get_dictionary():
    with open('/usr/share/dict/words') as f:
        return [w.strip() for w in f.readlines() if len(w.strip()) == WORD_LENGTH and w.lower() == w]

def test():
    test_find_best_words()
    test_find_best_score()
    test_score()
    test_get_dictionary()

def test_find_best_words():
    hist = {
        'a': 10,
        'b': 1,
    }
    dictionary = ['a', 'baa', 'count']
    assert find_best_words(hist, dictionary) == ['baa']

def test_find_best_score():
    hist = {
        'a': 10,
        'b': 1,
    }
    dictionary = ['a', 'baa', 'count']
    assert find_best_score(hist, dictionary) == 11

def test_score():
    hist = {
        'a': 10,
        'b': 1,
    }
    assert score(hist, 'baa') == 11
    assert score(hist, 'count') == 0
    assert score(hist, 'a') == 10

def test_get_dictionary():
    d = get_dictionary()
    assert len(d) > 1000
    for w in d:
        assert len(w) == 5
        assert w.lower() == w

if len(sys.argv) < 2:
    play()
else:
    test()

Qwirkle

A few years ago I wrote a version of the tile game Qwirkle including some rudimentary AI – github.com/bakert/qwirkle. It’s surprising how many good scoring positions you miss in the normal run of play and how little it seems to matter if you give away a Qwirkle to your opponent. The code is open source/MIT licensed.

The Dobble Algorithm

I played a few games of Dobble with my niece and got curious about the algorithm used to generate the cards. It turns out it’s not trivial and one of the best ways to interrogate it is as a finite projective plane.

I got the most useful information from www.101computing.net/the-dobble-algorithm which has actual code although the clearest explanation was on www.petercollingridge.co.uk/blog/mathematics-toys-and-games/dobble

The maximum number of possible cards is n^2 + n + 1 where n is the number of symbols per card minus one.

Number of Symbols on CardMax Number of Cards
23
413
521
857
12133

The number of symbols on the card doesn’t have to be a prime number plus one but the algorithms found online require that.

I thought it was pretty interesting that 8 symbols per card allows 57 cards but the game itself comes with 55 cards. Presumably because once you put one card in the center 54 is divisible by both 2 and 3 for even number of cards per player in the common cases. I wonder which two cards are missing but not enough to look through them all!

Emit logs in JSON format from fastapi/gunicorn, for DataDog

import logging

from pythonjsonlogger import jsonlogger

def init() -> None:
    log_in_json()
    map_levelname_to_status()

# Force all loggers to talk JSON rather than text so DataDog can parse the output.
def log_in_json() -> None:
    loggers = [
        logging.getLogger("uvicorn.access"),
        logging.getLogger("uvicorn.error"),
        logging.getLogger("uvicorn"),
        logging.getLogger(),
    ]
    for logger in loggers:
        for handler in logger.handlers:
            logger.removeHandler(handler)
        logger.level = logging.DEBUG
        log_handler = logging.StreamHandler()
        formatter = jsonlogger.JsonFormatter(
            "%(asctime)s %(levelname)s %(name)s %(message)s"
        )
        log_handler.setFormatter(formatter)
        logger.addHandler(log_handler)

# DataDog is expecting 'status' for log level but the python default is 'levelname'.
def map_levelname_to_status() -> None:
    old_factory = logging.getLogRecordFactory()

    def record_factory(*args: str, **kwargs: str) -> logging.LogRecord:
        record = old_factory(*args, **kwargs)
        record.status = record.levelname  # type: ignore
        return record

    logging.setLogRecordFactory(record_factory)

That One Blog Post That Gets All the Emails

In 2003 I spent half a day figuring out a bad Microsoft error. I hadn’t been able to Google the answer. And I guess this was before the days of Stack Overflow. So I wrote it up as a blog post – https://bluebones.net/2003/07/server-did-not-recognize-http-header-soapaction/

Because I’d been extremely frustrated by the error I included at the bottom, “If you’re having a similar problem but can’t work what I’m saying here, feel free to mail me on bakert+web@gmail.com – I wouldn’t wish my four hours on anyone!”

I never get email about any of my other blog posts. But Gmail tells me I’ve had at least 269 about this one. Including within the last two weeks! If you find this phenomenon interesting and wish to discuss it further, feel free to email me at bakert@gmail.com 😉