mooreniemi

use faiss::{error::Error, index_factory, Index, MetricType};
fn main() -> Result<(), Error> {
    let my_data = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0];
    let mut index = index_factory(8, "Flat", MetricType::L2)?;
    index.add(&my_data)?;
    let result = index.search(&my_data, 5)?;
    for (i, (l, d)) in result
        .labels
        .iter()
        .zip(result.distances.iter())

mooreniemi

#![deny(warnings)]
use std::{collections::HashMap, convert::Infallible, sync::Arc};
use tokio::sync::RwLock;
use warp::{Filter, Rejection};

fn with_store(
    store: Arc<RwLock<HashMap<String, u64>>>,
) -> impl Filter<Extract = (Arc<RwLock<HashMap<String, u64>>>,), Error = Infallible> + Clone {
    warp::any().map(move || store.clone())
}

mooreniemi

#![deny(warnings)]
use std::{collections::HashMap, convert::Infallible, str::FromStr, sync::Arc};
use tokio::sync::RwLock;
use warp::{Filter, Rejection};

fn with_store(
    store: Arc<RwLock<HashMap<String, u64>>>,
) -> impl Filter<Extract = (Arc<RwLock<HashMap<String, u64>>>,), Error = Infallible> + Clone {
    warp::any().map(move || store.clone())
}

mooreniemi

import math

def permutations(to_go, path_taken='', paths=[]):
    if not to_go:
        print(path_taken)
        paths.append(path_taken)
    else:
        for i in range(len(to_go)):
            here = to_go[i]
            elsewhere = to_go[:i] + to_go[i+1:]

mooreniemi

cjson = require "cjson"
ngx. req. read_body()                                       -- explicitly read the req body
local data = ngx. req. get_body_data()
local jsonBody = cjson. decode(data);
if data then
  local reqs = { }
  --ngx. say("body data:")

  for key, value in pairs(jsonBody) do
    --ngx.print(key)

mooreniemi

# a script to load seshat data into Elasticsearch
# seshat data is clearly graphdb data, but ES is nifty, so...
# assumes you have set up elasticsearch and kibana

import pandas as pd
from elasticsearch import Elasticsearch
from elasticsearch.helpers import parallel_bulk

# assumes local ES
es = Elasticsearch()

mooreniemi

# This is a version of 'Learning from Clicks' in 'Programming Collective
# Intelligence' p74, a pdf is online at the below url
# https://github.com/ShawnLeee/the-book/blob/master/pybooks/Programming%20Collective%20Intelligence.pdf
#
# This is a fully connected network stored in sqlite, so, yeah, not for Production. :)

from math import tanh

from timeit import default_timer as timer

mooreniemi

#! /bin/bash

# http://unix.stackexchange.com/questions/230238/starting-x-applications-from-the-terminal-and-the-warnings-that-follow
export NO_AT_BRIDGE=1

WALLPAPERS="/home/alex/Dropbox/backgrounds"
ALIST=( `ls -w1 $WALLPAPERS` )
RANGE=${#ALIST[@]}

let "number = $RANDOM"

mooreniemi

# This file has been auto-generated by i3-config-wizard(1).
# It will not be overwritten, so edit it as you like.
#
# Should you change your keyboard layout some time, delete
# this file and re-run i3-config-wizard(1).
#

# i3 config file (v4)
#
# Please see http://i3wm.org/docs/userguide.html for a complete reference!

mooreniemi

! Unmap capslock
clear Lock
keycode 66 = Hyper_L
!
! leave mod4 as only super
remove mod4 = Hyper_L
!
add mod3 = Hyper_L