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[Unit]
Description = Wilck
BindsTo = network-online.target
After = network.target network-online.target

[Service]
WorkingDirectory = /home/pi
StandardOutput = journal
StandardError = journal
Restart = always

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$ sudo stdbuf -oL hcitool lescan | grep LYWSD02
E7:2E:00:F0:20:8A LYWSD02

$ sudo hcitool leinfo E7:2E:00:10:50:A2 
Requesting information ...
        Handle: 65 (0x0041)
        LMP Version: 4.2 (0x8) LMP Subversion: 0x10f
        Manufacturer: Dialog Semiconductor B.V. (210)
        Features: 0x1f 0x00 0x00 0x00 0x00 0x00 0x00 0x00

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• Web
  • Capitalise Your Title
• Console
  • GitHub - BurntSushi/ripgrep: ripgrep recursively searches directories for a regex pattern
  • GitHub - imsnif/bandwhich: Terminal bandwidth utilization tool
  • GitHub - sharkdp/fd: A simple, fast and user-friendly alternative to ‘find’
  • GitHub - ogham/exa: A modern version of ‘ls’.
  • GitHub - sharkdp/bat: A cat(1) clone with wings.
  • GitHub - sharkdp/hyperfine: A command-line benchmarking tool

• GitHub - sharkdp/hexyl: A command-line hex viewer

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Initial setup

On the local machine:

ssh-copy-id pi@nestkastpi.local

On the Raspberry Pi:

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class TTestSearchCV:
    def __init__(self, estimator, param_grid, *, cv, scoring, alpha=0.95):
        self.estimator = estimator
        self.param_grid: Dict[str, Any] = param_grid
        self.cv = cv
        self.scoring = scoring
        self.alpha = alpha

        self.p = 1.0 - alpha
        self.best_params_: Optional[Dict[str, Any]] = None

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#!/usr/bin/env python3
# coding: utf-8

from collections import deque, namedtuple
from math import pi, copysign, cos, sin
from typing import Tuple

from model.Car import Car
from model.CarType import CarType
from model.Game import Game

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def choose(seq):
    chosen = None
    for i, el in enumerate(seq):
        if random.random() >= 1.0 - 1.0 / (i + 1):
            chosen = el
    return chosen

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#
# blowfish.py
# Copyright (C) 2002 Michael Gilfix <mgilfix@eecs.tufts.edu>
#
# This module is open source; you can redistribute it and/or
# modify it under the terms of the GPL or Artistic License.
# These licenses are available at http://www.opensource.org
#
# This software must be used and distributed in accordance
# with the law. The author claims no liability for its

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
The Snowball stemmer.
Pavel Perestoronin © 2013
"""

import re
import unittest

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#############################################################################
# 				Documentation				    #
#############################################################################

# Author:   Todd Whiteman
# Date:     16th March, 2009
# Verion:   2.0.0
# License:  Public Domain - free to do as you wish
# Homepage: http://twhiteman.netfirms.com/des.html
#