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@thegeez
thegeez / spec_parsing.clj
Last active December 30, 2023 18:17
Parsing with clojure.spec for the Advent of Code challenge
(ns net.thegeez.advent.spec-parsing
(:require [clojure.string :as str]
[clojure.spec :as s]
[clojure.spec.gen :as gen]
[clojure.test.check.generators :as tgen]))
;; Dependencies:
;; [org.clojure/clojure "1.9.0-alpha14"]
;; [org.clojure/test.check "0.9.0"]
;; Advent of Code is a series of code challenges in the form of an advent
@ravibhure
ravibhure / git_rebase.md
Last active April 3, 2024 08:38
Git rebase from remote fork repo

In your local clone of your forked repository, you can add the original GitHub repository as a "remote". ("Remotes" are like nicknames for the URLs of repositories - origin is one, for example.) Then you can fetch all the branches from that upstream repository, and rebase your work to continue working on the upstream version. In terms of commands that might look like:

Add the remote, call it "upstream":

git remote add upstream https://github.com/whoever/whatever.git

Fetch all the branches of that remote into remote-tracking branches, such as upstream/master:

git fetch upstream

@sunng87
sunng87 / reflection.clj
Created November 20, 2015 10:04
clojure: access private field/method via reflection
(defn invoke-private-method [obj fn-name-string & args]
(let [m (first (filter (fn [x] (.. x getName (equals fn-name-string)))
(.. obj getClass getDeclaredMethods)))]
(. m (setAccessible true))
(. m (invoke obj args))))
(defn private-field [obj fn-name-string]
(let [m (.. obj getClass (getDeclaredField fn-name-string))]
(. m (setAccessible true))
(. m (get obj))))
@brock
brock / psql-with-gzip-cheatsheet.sh
Last active May 13, 2024 13:31
Exporting and Importing Postgres Databases using gzip
# This is just a cheat sheet:
# On production
sudo -u postgres pg_dump database | gzip -9 > database.sql.gz
# On local
scp -C production:~/database.sql.gz
dropdb database && createdb database
gunzip < database.sql.gz | psql database
@shaunlebron
shaunlebron / es7coreasync.md
Last active July 28, 2018 07:58
es7 vs core.async

Comparing ES7 and core.async

ES7 core.async
async function() {...} (fn [] (go ...))
await ... (<! ...)
await* or Promise.all(...) (doseq [c ...] (<! c))
anonymous
anonymous / logger.ex
Created June 2, 2015 00:02
defmodule Saturn.Logger do
use Timex
require Logger
alias Plug.Conn
@behaviour Plug
def init(opts) do
Keyword.get(opts, :log, :info)
end
@stathissideris
stathissideris / tree-seq-extra.clj
Last active July 2, 2023 11:33
Like Clojure's tree-seq, but with depth info for each node or the full path (recursive - blow up the stack for deep trees)
(defn tree-seq-depth
"Returns a lazy sequence of vectors of the nodes in a tree and their
depth as [node depth], via a depth-first walk. branch? must be a fn
of one arg that returns true if passed a node that can have
children (but may not). children must be a fn of one arg that
returns a sequence of the children. Will only be called on nodes for
which branch? returns true. Root is the root node of the tree."
[branch? children root]
(let [walk (fn walk [depth node]
(lazy-seq
@ptaoussanis
ptaoussanis / transducers.clj
Last active December 17, 2021 13:54
Quick recap/commentary: Clojure transducers
(comment ; Fun with transducers, v2
;; Still haven't found a brief + approachable overview of Clojure 1.7's new
;; transducers in the particular way I would have preferred myself - so here goes:
;;;; Definitions
;; Looking at the `reduce` docstring, we can define a 'reducing-fn' as:
(fn reducing-fn ([]) ([accumulation next-input])) -> new-accumulation
;; (The `[]` arity is actually optional; it's only used when calling
;; `reduce` w/o an init-accumulator).
(require '[clojure.core.async :as a])
(def xform (comp (map inc)
(filter even?)
(dedupe)
(flatmap range)
(partition-all 3)
(partition-by #(< (apply + %) 7))
(flatmap flatten)
(random-sample 1.0)
@tsdh
tsdh / gist:8314450
Created January 8, 2014 10:03
A Clojure solution to Xah Lee's programming challenge "Constructing a Tree Given Its Edges".
(defn parent-children-map
"Converts a vector of [child parent] edges into a map where every entry has
the form [parent set-of-children].
Examples:
(parent-children-map [[0, 2], [3, 0], [1, 4], [2, 4]])
;=> {4 #{1 2}, 0 #{3}, 2 #{0}}
(parent-children-map [[10 1] [1 4] [6 1] [8 6] [9 5] [2 4]