Metadata-Version: 2.1
Name: python-flucoma
Version: 1.2.0
Summary: Loose bindings to the FluCoMa command line
Home-page: https://github.com/jamesb93/python-flucoma
Author: James Bradbury
Author-email: jamesbradbury93@gmail.com
License: BSD
Description: # python-flucoma
        
        ![run tests automatically each push](https://github.com/jamesb93/python-flucoma/workflows/run%20tests%20automatically%20each%20push/badge.svg?event=push)
        
        Very loose functional programming bindings from Python3 to [FluCoMa](https://www.flucoma.org) CLI tools.
        
        You will need to download the command line versions and put them somewhere in your path.
        
        They can be downloaded from [here](https://www.flucoma.org/download/) or compiled from [source](https://github.com/flucoma/flucoma-cli).
        
        With these bindings I tried to replicate the buffer based behaviour that is present across their supported CCE's instead of any magic to produce a 'native' feel to the code.
        Instead, functions are bound to `fluid` processes which return where the outputs are. It is then you're job to collect the results.
        
        A basic novelty slice call is something like:
        
        ```python
        from flucoma import fluid
        from flucoma.utils import get_slices
        from pathlib import Path
        
        source = Path("~/Desktop/ec1.wav").expanduser().resolve()
        
        ns = fluid.noveltyslice(source, threshold=0.1)
        idx = get_buffer(ns)
        
        print(idx)
        ```
        
        or for a more complex example chaining together the output of one process as the input of the next.
        
        ```python
        from flucoma import fluid
        from flucoma.utils import get_slices
        
        
        mfcc = fluid.mfcc(source, 
            fftsettings = [2048, -1, -1],
            startframe = start,
            numframes = length
        )
        
        stats = get_buffer(
            fluid.stats(mfcc,
                numderivs = 1
            ), "numpy" # get_buffer() can return numpy arrays too
        )
        
        print(stats)
        ```
        
        There are more comprehensive examples in the examples directory of this repo.
        
        ---
        
        Can be installed by any of the methods:
        
        1. `pip install python-flucoma`
        2. `pip install git+https://github.com/jamesb93/python-flucoma`
        3. Cloning this repo, `cd` and call `pip install .`
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
