pseeth

reverb_words = keys(wordDict['reverb'])
word_parameters = {}
function get_parameters() {return {'g': rev.g, 'd': rev.d, 'm': rev.m, 'f': rev.f, 'E': rev.E, 'wetdry': rev.wetdry}}
function save_word(index) {console.log(reverb_words[index]); changetoword(reverb_words[index], 'reverb', -1); word_parameters[reverb_words[index]] = get_parameters();}
current_index = 0;
function increment_word() {save_word(current_index); current_index++};
interval_thing = setInterval(increment_word, 1000);

eq_words = keys(wordDict['eq'])
function save_word_eq(index) {console.log(eq_words[index]); changetoword(eq_words[index], 'eq', -1);}

pseeth

"""Helper functions for working with audio files in NumPy."""

import numpy as np
import contextlib

def pcm2float(sig, dtype='float64'):
    """Convert PCM signal to floating point with a range from -1 to 1.

    Use dtype='float32' for single precision.

pseeth

"""Helper functions for working with audio files in NumPy."""

import numpy as np
import contextlib

def pcm2float(sig, dtype='float64'):
    """Convert PCM signal to floating point with a range from -1 to 1.

    Use dtype='float32' for single precision.

pseeth

import scaper
import os
import sox
import numpy as np
import logging
import warnings
import random
import jams
import librosa
import itertools

pseeth

import sys
sys.path.insert(0, '.')

from multiprocessing import cpu_count
import os
from utils import parallel_process
from scaper import Scaper, generate_from_jams
import librosa
import numpy as np
from tqdm import tqdm

pseeth

# to install requirements
# conda install -c conda-forge sox ffmpeg
# OR
# brew install sox
# brew install ffmpeg
# OR
# sudo apt-get install sox
# sudo apt-get install ffmpeg
# THEN
# pip install scaper

pseeth

#!/usr/bin/env python

"""
Script to wait for an open GPU, then to run the job. Use with 
`tsp` (task-spooler) for a common workflow, by queuing a job 
that looks for a GPU and then runs the actual job.

Make this executable: chmod +x allocate.py

This stacks jobs on a single GPU if memory is available and the 

pseeth

# Example of binding function keyword arguments to an
# ArgumentParser, then using scopes to initialize function
# with different arguments.
# 
# Example output:
#   ❯ python example.py --autoclip.percentile=100 --train/autoclip.percentile=1 --val/autoclip.percentile=5
#   Before scoping
#   ARGS={}
#   Called autoclip with percentile=10.0
#   

pseeth

import argbind
from typing import List

@argbind.bind()
def train(epochs : int = 50):
    """Run training.

    Parameters
    ----------
    epochs : int, optional