j2kun

Keybase proof

I hereby claim:

• I am j2kun on github.
• I am j2kun (https://keybase.io/j2kun) on keybase.
• I have a public key whose fingerprint is AD0B 0C0F 8714 4E1B 9888 55EB ED3B ECB2 0A50 EABB

To claim this, I am signing this object:

j2kun

Rename all default branches of a github user

Basically, it does this for all the repos you own

Requirements

brew install hub
brew install jq

j2kun

j2kun

from rich import print
from rich.table import Table


def subsequent_pairs(L):
    L = iter(L)
    a = next(L)
    b = next(L)
    while True:
        yield (a, b)

j2kun

class StateMachine: # pragma: no cover
    """
    A simple state machine implementation.
    """
    def __init__(self):
        self.handlers = {}
        self.startState = None
        self.endStates = []

    def add_state(self, name, handler, end_state=0):

j2kun

Copilot-completed given the prompt: 

class AsyncQueue {
    constructor() {
        // Values that have been queued but not dequeued yet are stored here
        this.values = [];
        // When Promises are dequeued before their corresponding values are
        // queued, the resolve methods for those Promises are stored here.
        this.resolvers = [];
        // Once closed, no more values can be enqueued, and no more unfulfilled

j2kun

# in the base directory of your project

QuoteStyle = Traditional

VerbEnvir
{
    verbatim comment listing verbatimtab rawhtml errexam picture texdraw
    filecontents pgfpicture tikzpicture minted lstlisting texttt
    solution
}

j2kun

# $ python3 --version
# Python 3.10.1
# $ python3 hilbert.py 
# [(0, 0), (1, 0), (1, 1), (2, 1), (2, 2), (2, 3), (3, 3), (3, 4), (4, 4), (4, 5), (5, 5), (5, 6), (5, 7), (6, 7), (6, 8), (7, 8)]

import math


def hilbert_iter(n):
    (i, j) = (0, 0)

j2kun

from dataclasses import dataclass

import numpy as np
import pymc3 as pm


@dataclass
class SkillDistribution:
    '''A class representing the data of a skill distribution.

j2kun

'''An implementation of a media mix model.'''

import pymc3 as pm
import numpy as np

# currently no adstock transformation...

def tanh_saturation(x, users_at_saturation, initial_cost_per_user):
    '''A saturation function based on the hyperbolic tangent.