loretoparisi

say --voice="?"
Albert              en_US    # Hello! My name is Albert.
Alice               it_IT    # Ciao! Mi chiamo Alice.
Alva                sv_SE    # Hej! Jag heter Alva.
Amélie              fr_CA    # Bonjour! Je m’appelle Amélie.
Amira               ms_MY    # Hi my name is Amira
Anna                de_DE    # Hallo! Ich heiße Anna.
Bad News            en_US    # Hello! My name is Bad News.
Bahh                en_US    # Hello! My name is Bahh.
Bells               en_US    # Hello! My name is Bells.

loretoparisi

wget https://dlcdn.apache.org//activemq/5.18.1/apache-activemq-5.18.1-bin.tar.gz
gunzip apache-activemq-5.18.1-bin.tar.gz
tar -xvf apache-activemq-5.18.1-bin.tar
cd apache-activemq-5.18.1
cd conf
myIP=$(LANG=C /sbin/ifconfig  | sed -ne $'/127.0.0.1/ ! { s/^[ \t]*inet[ \t]\\{1,99\\}\\(addr:\\)\\{0,1\\}\\([0-9.]*\\)[ \t\/].*$/\\2/p; }')
sed -i "s/localhost/${myIP}/" jetty.xml
cd ..
cd bin
./activemq start

loretoparisi

def longest_subsequence_bisect(seq, mode='strictly', order='increasing',
                        key=None, index=False):
    """

    @TODO: to replace longest_subsequence_linear

    >>> longest_subsequence_bisect([1,2,3,4,5,6,7,2,2,2,2,2,5,1,7,8])

    Return the longest increasing subsequence of `seq`.

loretoparisi

def longest_subsequence_linear(seq, keyfn=lambda value: value):
    ''' Longest Increasing Subsequence
    >>> seq = [0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5, 13, 3, 11, 7, 15]
    >>> lis(seq)
    [0, 2, 6, 9, 11, 15]
    >>> lis([])
    []
    '''
    if not seq: return seq

loretoparisi

/**
 * Wavesurfer.js  minimalistic example with
 * regions loading, save, plugins, waveform loading from json, waveform zoom, player events, keyboard codes, auto play
 * @author: Loreto Parisi (loretoparisi at gmail dot com) - mainly, some code and functions adpated from Wavesurfer examples
 * @disclaimer: code adapted from online examples
 */
 
 
// JavaScript
// Wrap the native DOM audio element play function and handle any autoplay errors

loretoparisi

conda create -n diffusers
conda activate diffusers
conda install -y pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge
pip install diffusers transformers piexif

For hf_stablediffusion_img2img.py download https://github.com/huggingface/diffusers/blob/main/examples/inference/image_to_image.py

loretoparisi

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

loretoparisi

# make sure you're logged in with `huggingface-cli login`
import os
from torch import autocast
from diffusers import StableDiffusionPipeline, LMSDiscreteScheduler

lms = LMSDiscreteScheduler(
    beta_start=0.00085, 
    beta_end=0.012, 
    beta_schedule="scaled_linear"
)

loretoparisi

coders+00001

Chief: "if this than that…"
Newbie Coder: "tap tap tap…" (coding)

(5 years later…)

Chief: "if this than that…"
Veteran Coder: (Go to team) "If this than that…"

(5 minutes later…)

loretoparisi

SELECT ?wdLabel ?ooLabel
    WHERE {
    VALUES (?s) {(wd:%@)}
    ?s ?wdt ?o .
    ?wd wikibase:directClaim ?wdt .
    ?wd rdfs:label ?wdLabel .
    OPTIONAL {
    ?o rdfs:label ?oLabel .
    FILTER (lang(?oLabel) = "en")
    }