Metadata-Version: 1.0
Name: libsquiggly
Version: 1.0.2
Summary: A toolbox to answer the age-old question "Why do the squiggly lines do what they do?"
Home-page: https://gitlab.cs.washington.edu/ubicomplab/libsquiggly
Author: Elliot Saba
Author-email: staticfloat@gmail.com
License: This software, unless otherwise noted, is released under the MIT license

> Copyright (c) 2015: Elliot Saba, Ubiquitous Computing Laboratory,
> University of Washington, Seattle, Washington, United States of America

> Permission is hereby granted, free of charge, to any person obtaining a copy
> of this software and associated documentation files (the "Software"), to deal
> in the Software without restriction, including without limitation the rights
> to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> copies of the Software, and to permit persons to whom the Software is
> furnished to do so, subject to the following conditions:

> The above copyright notice and this permission notice shall be included in all
> copies or substantial portions of the Software.

> THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
> IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
> FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
> AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
> LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
> OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
> SOFTWARE.

---

The software in `libsquiggly/instfreq/talkbox` is released under the MIT license
as well, see the `LICENSE.txt` file in that directory.

---

The software in `libsquiggly/resampling/upfirdn` is released under the 3-clause
BSD license, see the notice at the top of all files in that directory.

Description: libsquiggly.py
        ==============
        
        Libsquiggly consists of python codes useful in all manner of ubiquitous computing.  Code is organized according to general category:
        
        * `instfreq/` contains all code related to instantaneous frequency estimation
        
        * `tfr/` contains all code related to time/frequency representations such as short-time fourier transforms and generalized cone kernel distribution functions
        
        * `analysis/` contains all code related to communications-type analysis of timeseries
        
        * `resampling/` contains all code related to resampling timeseries
        
        * `util/` contains utility code such as spectrograms, logging standard output, etc...
        
        * `tests/` gives a brief demonstration of some of the abilities of this library, and generates some nice looking pictures.  Run the tests with `python setup.py test`.
        
        If you're wondering how on earth to use this code, running/perusing the examples in the `tests/` directory is a good place to start.
        
Platform: UNKNOWN
