keuv-grvl

import numpy as np
import pandas as pd
import seaborn as sbn
from matplotlib import pyplot as plt
from scipy.stats import anderson
from sklearn import datasets
from sklearn.cluster import MiniBatchKMeans
from sklearn.preprocessing import scale, LabelEncoder

# TODO doc, memoization

keuv-grvl

def perfboxplot(
    setup,
    kernels,
    labels,
    n=3,
    xlabel="Performances",
    equality_check=None,
    save_path=None,
    log_scale=True,
):

keuv-grvl

# ln -s /path/to/this/.autoenv.sh /path/to/workdir/

if test -f .autoenv_conda_env_name ; then
    TARGET_CONDA_ENV="$(cat .autoenv_conda_env_name)"
    if [[ $TARGET_CONDA_ENV != $CONDA_DEFAULT_ENV ]]; then
        conda activate "$TARGET_CONDA_ENV" 2&>1 2> /dev/null
    fi
else
    CUR_DIR=$(basename $(pwd))
    conda activate "$CUR_DIR-dev" 2> /dev/null  \

keuv-grvl

import tensorflow as tf

ReduceMean = lambda axis=1: tf.keras.layers.Lambda(lambda x: tf.reduce_mean(x, axis=axis))

i = tf.keras.layers.Input(shape=(5,15))  # shape: [BATCHSIZE, 5, 15]
m = ReduceMean(i)  # shape: [BATCHSIZE, 15]

# TODO would be nice to have a wrapping function for any TF op with arbitrary

keuv-grvl

-- Learn Lua in 15 Minutes

-- Two dashes start a one-line comment.

--[[
     Adding two ['s and ]'s makes it a
     multi-line comment.
--]]

----------------------------------------------------

keuv-grvl

import gradio as gr
import numpy as np
import tensorflow as tf
import requests

# Load a classification model
model = tf.keras.applications.MobileNetV3Large(
    input_shape=None,
    alpha=1.0,
    minimalistic=False,

keuv-grvl

from fast_flask import Flask

app = Flask(__name__)

@app.get("/users/")  # equivalent to `@app.route("/users/")` from flask.Flask
def get_user_details(user_id: int = 123):
    return {"123": "bob"}


if __name__ == "__main__":

keuv-grvl

@profile
def func1(i: float):
  import time
  time.sleep(i)


@profile
def func_mother():
  func1(1.2)
  a = 2 + 3

keuv-grvl

(properly) Lock and turn off your screen on Pop!_OS 22.04 LTS

Pop!_OS does not turn off your screen when you lock your screen. Where you hit tue Super+L shortcut, it seems to start some screensaver which display a black image and coincidently lock your session. But the screen itself does not go to its standby mode.

Here is my solution:

1. Nuke the <Super>l shortcut occurences:
   • List conf keys: {dconf dump / ; gsettings list-recursively } | less

• Use dconf-editor to unset them

keuv-grvl

gzip with tqdm progress bar

Prereq

pip install tqdm

Minimalistic