faroit

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.9,<3.12"
# dependencies = [
#     "torch>=2.0,<2.2",
#     "torchaudio>=2.0,<2.2",
#     "deepfilternet==0.5.6",
#     "numpy<2",
#     "soundfile",
# ]

faroit

# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "mlx-audio",
#     "numpy",
#     "pyqtgraph",
#     "PyQt6",
#     "sounddevice",
# ]
# ///

faroit

import matplotlib.animation as animation
import matplotlib.pyplot as plt
from collections import deque
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.animation import FuncAnimation
import scipy.stats

plt.style.use('seaborn-pastel')

faroit

FROM continuumio/miniconda3
RUN apt-get update
RUN apt-get install -y gcc build-essential g++
RUN conda install -c conda-forge sox
RUN conda install -c pytorch pytorch

RUN git clone https://github.com/pytorch/audio.git
RUN cd audio && python setup.py install

faroit

import numpy as np
import data
import pescador
import random


def excerpt_generator(
    dataset, idx,
    ex_length=100, ex_hop=100,
    shuffle=True, rnd_ex=False, seed=42

faroit

import numpy as np
import pescador
import torch.utils.data

np.random.seed(42)


nb_tracks = 100
track_length = 30
excerpt_length = 10

faroit

import soundfile as sf
import argparse
import numpy as np


if __name__ == '__main__':
    parser = argparse.ArgumentParser(description='Count duration of input files')
    parser.add_argument('inputs', nargs='+', help='input file names')

    args = parser.parse_args()

faroit

From 40b2c9fb9e3104f437d9f9d420f48e456c788c92 Mon Sep 17 00:00:00 2001
From: Fabian-Robert Stoeter <mail@faroit.com>
Date: Fri, 17 Mar 2017 12:17:46 +0100
Subject: [PATCH] add support for more than 8channels

---
 media/base/channel_layout.cc | 10 ++++++++--
 media/base/channel_layout.h  |  2 +-
 2 files changed, 9 insertions(+), 3 deletions(-)

faroit

import numpy as np
import threading


def threadsafe_generator(lock=None):
    def wrap(f):
        """A decorator that takes a generator function and makes it thread-safe.

        Taken from
        http://anandology.com/blog/using-iterators-and-generators/

faroit

PYTHON

import scipy.spatial.distance as dist
import numpy as np
import timeit

X = np.random.random((1000, 1000))

def run():
 c = dist.cdist(X, X, 'euclidean')