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"""
In this example, we're configuring Celery to use heartbeats. 
We've set the worker_heartbeat option to 120 seconds, which means 
that each worker will send a heartbeat message to the broker every 2 minutes. 
This can help to ensure that tasks are not lost if a worker goes offline or crashes.
"""
from celery import Celery

app = Celery('tasks', broker='pyamqp://guest@localhost//')

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"""
In this example, we're configuring Celery to prefetch 10 tasks at a time. 
This means that each worker will load up to 10 tasks into its memory before 
they are executed. This can help to reduce the time it takes to fetch new 
tasks from the broker, and can improve overall performance.
"""
from celery import Celery

app = Celery('tasks', broker='pyamqp://guest@localhost//')

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"""
In this example, we're configuring Celery to use threads for concurrency. 
We've set the task_concurrency option to 4, which means that each worker 
can handle up to 4 tasks simultaneously. We've also set the worker_prefetch_multiplier 
option to 1, which means that each worker will only prefetch one task at a time.
"""

from celery import Celery

app = Celery('tasks', broker='pyamqp://guest@localhost//')

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# https://www.redblobgames.com/grids/hexagons/ "double-height" horizontal layout
import random
import math

class Cell():
    """ Hexagonal cell """
    def __init__(self, x, y, walls=[0,1,2,3,4,5]):
        """ x,y int
            walls : list of number 0..5
        """

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import argparse
import librosa
import numpy as np
import os
import scipy
import scipy.io.wavfile
import sys

from glob import  glob
from tqdm import tqdm

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from pydub import AudioSegement

def load_audio(audio_path, ext):
    return AudioSegement.from_file(audio_path, format=ext)

def speed_change(audio, speed):
    audio_with_altered_frame_rate = audio._spawn(
        audio.raw_data, overrides={
         "frame_rate": int(audio.frame_rate * speed)
      })

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# python generate_spectrogram.py --audio-dir /path/to/audio_dir/ --spectrogram-dir /path/to/spectrogram_dir/

import argparse
from __future__ import division, print_function
from os import listdir
from os.path import isfile, join

from matplotlib import pyplot as plt
import scipy.io.wavfile as wav

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