Metadata-Version: 2.1
Name: python-flucoma
Version: 1.0.0
Summary: Loose bindings to the FluCoMa command line
Home-page: UNKNOWN
Author: James Bradbury
Author-email: jamesbradbury93@gmail.com
License: UNKNOWN
Description: # python-flucoma
        
        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.
        
        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)
        ```
        
        Can be installed by any of the methods:
        
        1. Cloning this repo, `cd` and call `pip install .`
        2. `pip install git+https://github.com/jamesb93/python-flucoma`
        3. `pip install python-flucoma`
        
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
