Glow Library
Set of functional tools for easier prototyping
Overview
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Installation
For basic installation use:
pip install glow
Specific versions with additional requirements
pip install glow[io] # For I/O extras
pip install glow[all] # For all
Structure
glow.*- Core parts, available out the boxglow.io.*- I/O wrappers to access data in convenient formats
Core features
glow.mapped- convenient tool to parallelize computationsglow.memoize- use if you want to reduce number of calls for any function
IO features
glow.io.Sound - playable sound wrapper
from datetime import timedelta
import numpy as np
from glow.io import Sound
array: np.ndarray
sound = Sound(array, rate=44100) # Wrap np.ndarray
sound = Sound.load('test.flac') # Load sound into memory from file
# Get properties
rate: int = sound.rate
duration: timedelta = sound.duration
dtype: np.dtype = sound.dtype
# Plays sound through default device, supports Ctrl-C for interruption
sound.play()
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