Write test

Author: jsingh811

README.md

@@ -3,7 +3,7 @@
 ![pyaudioprocessing](https://user-images.githubusercontent.com/16875926/63388515-8e66fe00-c35d-11e9-98f5-a7ad0478a353.png)
 
 A Python based library for processing audio data into features and building Machine Learning models.  
-This was written using `Python 3.7.6`, and should work with python 3.6+.  
+This was written using `Python 3.7.6`, and has been tested to work with Python >= 3.6, <4.  
 
 
 ## Getting Started  
@@ -24,12 +24,17 @@ git clone git@github.com:jsingh811/pyAudioProcessing.git
 cd pyAudioProcessing
 pip install -e .
 ```
-and get the requirements by running
+You can also get the requirements by running
 
 ```
 pip install -r requirements/requirements.txt
 ```  
 
+If you are on Python 3.9 and experience any issues with the code samples regarding numpy, please run  
+```
+pip install -U numpy
+```
+
 ## Choices  
 
 ### Feature options  

tests/test_classification.py

@@ -0,0 +1,22 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Apr 30 17:37:32 2021
+
+@author: jsingh
+"""
+import pytest
+from pyAudioProcessing.extract_features import get_features
+
+def test_get_features():
+    """
+    Test get_features function
+    """
+    features = get_features("data_samples/testing", ["gfcc", "mfcc"])
+    assert "musc" in features
+    assert "speech" in features
+    assert "data_samples/testing/speech/sleep.wav" in features["speech"]
+    assert "features" in features["speech"]["data_samples/testing/speech/sleep.wav"]
+    assert "feature_names" in features["speech"]["data_samples/testing/speech/sleep.wav"]
+    assert  "mfcc_1_mean" in features["speech"]["data_samples/testing/speech/sleep.wav"]["feature_names"]
+    assert  "gfcc_1_mean" in features["speech"]["data_samples/testing/speech/sleep.wav"]["feature_names"]