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#!usr/bin/env bb

(require '[babashka.fs :as fs])

(let [abs-path (fs/absolutize (first *command-line-args*))
      rel-path #(fs/relativize abs-path %)
      folder-str (str (fs/file-name abs-path) "/")
      path-with-folder #(str folder-str (rel-path %))
      valid-m8? #(when (< 127 (count (path-with-folder %)))
                   (println (path-with-folder %)))

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Organization archetypes

The intention of this document is to provide some guidance and suggestions to customers who are wondering how they should structure organizations and teams in their GitHub Enterprise environment. The idea isn't to give hard and fast rules on which approach is better than the other, but to give examples of when one approach might be preferable to another depending on the use case.

1. A single organization with direct organization membership for repository access (not teams)

          ________________
          |     Org      |
          |    ______    |
          |   |      |\  |

| | Repo | \ |

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#!/usr/bin/env bb

(require '[clojure.java.io :as io])
(require '[bencode.core :refer [read-bencode]])
(require '[clojure.walk :refer [prewalk]])
(require '[clojure.pprint :refer [pprint]])
(import 'java.io.PushbackInputStream)

(defn bytes->strings [coll]
  (prewalk #(if (bytes? %) (String. % "UTF-8") %) coll))

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#!/usr/bin/env bb
#_" -*- mode: clojure; -*-"
;; Based on https://github.com/babashka/babashka/blob/master/examples/image_viewer.clj

(ns http-server
  (:require [babashka.fs :as fs]
            [clojure.java.browse :as browse]
            [clojure.string :as str]
            [clojure.tools.cli :refer [parse-opts]]
            [org.httpkit.server :as server]

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Clojure Destructuring Tutorial and Cheat Sheet

(Related blog post)

Simply put, destructuring in Clojure is a way extract values from a datastructure and bind them to symbols, without having to explicitly traverse the datstructure. It allows for elegant and concise Clojure code.

Vectors and Sequences

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import networkx as nx

# SAMPLE DATA FORMAT
#nodes = [('tensorflow', {'count': 13}),
# ('pytorch', {'count': 6}),
# ('keras', {'count': 6}),
# ('scikit', {'count': 2}),
# ('opencv', {'count': 5}),
# ('spark', {'count': 13}), ...]