Docs updates

README.md

@@ -2,13 +2,8 @@
 [![GitHub license](https://img.shields.io/badge/license-ISC-blue.svg)](https://raw.githubusercontent.com/bmcfee/resampy/master/LICENSE)
 [![PyPI](https://img.shields.io/pypi/v/resampy.svg)](https://pypi.python.org/pypi/resampy)
 [![Anaconda-Server Badge](https://anaconda.org/conda-forge/resampy/badges/version.svg)](https://anaconda.org/conda-forge/resampy)
-[![Anaconda-Server Badge](https://anaconda.org/conda-forge/resampy/badges/downloads.svg)](https://anaconda.org/conda-forge/resampy)
-[![Build Status](https://travis-ci.org/bmcfee/resampy.png?branch=master)](http://travis-ci.org/bmcfee/resampy?branch=master)
-[![Circle CI](https://circleci.com/gh/conda-forge/resampy-feedstock.svg?style=svg)](https://circleci.com/gh/conda-forge/resampy-feedstock)
-[![TravisCI](https://travis-ci.org/conda-forge/resampy-feedstock.svg?branch=master)](https://travis-ci.org/conda-forge/resampy-feedstock)
-[![AppVeyor](https://ci.appveyor.com/api/projects/status/github/conda-forge/resampy-feedstock?svg=True)](https://ci.appveyor.com/project/conda-forge/resampy-feedstock/branch/master)
-[![Coverage Status](https://coveralls.io/repos/github/bmcfee/resampy/badge.svg?branch=master)](https://coveralls.io/github/bmcfee/resampy?branch=master)
-[![Dependency Status](https://dependencyci.com/github/bmcfee/resampy/badge)](https://dependencyci.com/github/bmcfee/resampy)
+[![CI](https://github.com/bmcfee/resampy/actions/workflows/ci.yml/badge.svg)](https://github.com/bmcfee/resampy/actions/workflows/ci.yml)
+[![codecov](https://codecov.io/gh/bmcfee/resampy/branch/main/graph/badge.svg?token=o6a0xO89rz)](https://codecov.io/gh/bmcfee/resampy)
 [![Documentation Status](https://readthedocs.org/projects/resampy/badge/?version=latest)](http://resampy.readthedocs.org/en/latest/?badge=latest)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.596633.svg)](https://doi.org/10.5281/zenodo.596633)
 

docs/conf.py

@@ -144,7 +144,7 @@
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['_static']
+#html_static_path = ['_static']
 
 # Add any extra paths that contain custom files (such as robots.txt or
 # .htaccess) here, relative to this directory. These files are copied
@@ -277,6 +277,6 @@
 numpydoc_show_class_members = False
 
 # Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {'python': ('http://docs.python.org/', None),
-                       'numpy': ('http://docs.scipy.org/doc/numpy/', None),
-                       'scipy': ('http://docs.scipy.org/doc/scipy/reference/', None)}
+intersphinx_mapping = {'python': ('https://docs.python.org/3', None),
+                       'numpy': ('https://numpy.org/doc/stable/', None),
+                       'scipy': ('https://docs.scipy.org/doc/scipy/', None)}

docs/example.rst

@@ -5,7 +5,7 @@ Monophonic resampling
 
 The following code block demonstrates how to resample an audio signal.
 
-We use `librosa <https://bmcfee.github.io/librosa/>`_ for loading the audio,
+We use `librosa <https://librosa.org/>`_ for loading the audio,
 but this is purely for ease of demonstration.  `resampy` does not depend on `librosa`.
 
 .. code-block:: python
@@ -15,7 +15,7 @@ but this is purely for ease of demonstration.  `resampy` does not depend on `lib
     import resampy
 
     # Load in librosa's example audio file at its native sampling rate
-    x, sr_orig = librosa.load(librosa.util.example_audio_file(), sr=None)
+    x, sr_orig = librosa.load(librosa.ex('trumpet'), sr=None)
 
     # x is now a 1-d numpy array, with `sr_orig` audio samples per second
 
@@ -39,7 +39,7 @@ resampling, as demonstrated below.
 
     # Load in librosa's example audio file at its native sampling rate.
     # This time, also disable the stereo->mono downmixing
-    x, sr_orig = librosa.load(librosa.util.example_audio_file(), sr=None, mono=False)
+    x, sr_orig = librosa.load(librosa.ex('trumpet', hq=True), sr=None, mono=False)
 
     # x is now a 2-d numpy array, with `sr_orig` audio samples per second
     # The first dimension of x indexes the channels, the second dimension indexes
@@ -85,7 +85,7 @@ resampy allows you to control the design of the filters used in resampling opera
     import resampy
 
     # Load in some audio
-    x, sr_orig = librosa.load(librosa.util.example_audio_file(), sr=None, mono=False)
+    x, sr_orig = librosa.load(librosa.ex('trumpet'), sr=None, mono=False)
 
     # Resample to 22050Hz using a Hann-windowed sinc-filter
     y = resampy.resample(x, sr_orig, sr_new, filter='sinc_window', window=scipy.signal.hann)

resampy/filters.py

@@ -25,7 +25,7 @@
     >>> resampy.resample(x, sr_orig, sr_new, filter='sinc_window',
     ...                  **kwargs)                                  # doctest: +SKIP
 
-where ``**kwargs`` are additional parameters to `resampy.filters.sinc_window`_.
+where ``**kwargs`` are additional parameters to `sinc_window`.
 
 '''