robinsonkwame

#!/usr/bin/env python
import urllib

class Worker(object):

    def __init__(self, myurl):
        self.myurl = myurl

    def dowork(self):
        resp = urllib.request.urlopen(self.myurl)

robinsonkwame

from airflow import DAG
from airflow.operators import BashOperator, DummyOperator
from datetime import datetime, timedelta

default_args = {
    'owner':'kwame',
    'depends_on_past':True,
    'start_date': datetime.today()-timedelta(days=7)
}

robinsonkwame

<script>
// Adapted from http://unscriptable.com/2009/03/20/debouncing-javascript-methods/
// Works for fast typers (90+ wpm), no node.js
var debounce = function (func, threshold, execAsap) {
    var timeout;
 
    return function debounced () {
        var obj = this, args = arguments;
        function delayed () {
            if (!execAsap)

robinsonkwame

from itertools import chain, repeat
from six.moves import reduce
 
def reducer(accum_value, x):
  return tuple(sum(t) for t in zip(accum_value, x + (1,)))
 
k = (item for item in ((3,4),(4,66),(100,4)))
start = next(k)+(1,)
t = reduce(reducer, k, start)

robinsonkwame

#The MIT License
#
#Copyright (c) 2016 Kwame Porter Robinson
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
#copies of the Software, and to permit persons to whom the Software is
#furnished to do so, subject to the following conditions:

robinsonkwame

app_id: PoolBasedBinaryClassification
args:
  alg_list:
    - {alg_id: RoundRobin, alg_label: RoundRobin, test_alg_label: Test}
    - {alg_id: RandomSamplingLinearLeastSquares, alg_label: RandomSamplingLinearLeastSquares, test_alg_label: Test}
  algorithm_management_settings:
    mode: fixed_proportions
    params:
    - {alg_label: RoundRobin, proportion: 0.5}
    - {alg_label: RandomSamplingLinearLeastSquares, proportion: 0.5}

robinsonkwame

FROM python:3.6.2-slim
MAINTAINER "Kwame Porter Robinson" [email protected]

# Install JDK
# Credit: picoded/ubuntu-openjdk-8-jdk

# Add some core repos
RUN apt-get update && \
    apt-get install -y sudo curl zip openssl build-essential python-software-properties software-properties-common && \
    apt-get clean;

robinsonkwame

# For MacOS, non conda environment
xcode-select --install  # install gcc, command line tools if not present
brew install swig  # install wrapper, interface between C/C++ libarires (needed for pyrfr)

# Now we can install auto-sklearn, by installing the pyrfr dependency first
PIP_NO_CACHE_DIR=false
pip install pyrfr auto-sklearn  # could use pipenv too
#  if in Docker, can remove command line tools, etc.

robinsonkwame

@prefix : <urn:webprotege:ontology:d2c83e7f-4c1f-4d5d-9e25-b6561f887f46#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix xml: <http://www.w3.org/XML/1998/namespace> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@base <urn:webprotege:ontology:d2c83e7f-4c1f-4d5d-9e25-b6561f887f46> .

<urn:webprotege:ontology:d2c83e7f-4c1f-4d5d-9e25-b6561f887f46> rdf:type owl:Ontology .

robinsonkwame

const getBlock = async (selectedText) => {
  const currentBlock = logseq.api.get_current_block();
  if (currentBlock) {
    const newText = `[${selectedText}](())`
    const updatedContent = currentBlock.content.replace(
      selectedText, newText
    );
    await logseq.api.update_block(
      currentBlock.uuid,
      updatedContent