np-rw-buffer 1.0.1

Library to help store audio data in a circular buffer.

# Numpy Read Write Buffer

This library was created to help store audio data in a numpy array. It allows for writing lists and numpy arrays into a circular buffer. You can read the data from the buffer with overlap to perform smooth FFTs.
The buffer is a wrapper around a numpy ndarray. It contains a start and end position to keep track of where to read and write the data.

Main Functions:
* clear() - Clear the length, start, and end indexes
* get_data() - Return a copy of the data without moving indexes
* set_data(data) - Set the data and change the shape of the buffer to this data shape
* write(data, error) - Write data into the buffer and move the end index
* read(amount) - Read data from the buffer and move the start index. If the amount is greater that what is in the buffer return a 0 length buffer

Extra Functions to help with the start and end pointers:
* expanding_write(data, error) - Write data into the buffer. If the data is larger than the buffer expand the buffer
* growing_write(data) - Write data into the buffer if there is not enough space make the buffer larger
* read_remaining(amount) - Read the amount or read all of the data available to read
* read_overlap(amount, increment) - Read the amount of data given, but only increment the start index by the increment amount. This makes the next read, read some duplicate data (hence overlap)

Buffer Control Functions:
* maxsize - (property) change the amount of samples that can be held
* columns - (property) Number of columns that the array contains (shape[1])
* shape - (property) Change the shape of the buffer
* dtype - (property) Change the data type for the numpy buffer
* get_indexes(start, length) - Return a list of indexes for reading and writing (this makes the buffer circular)
* move_start(amount, error) - Move the start index (read)
* move_end(amount, error) - Move the end index (write)
* get_available_space() - return the amount of data that the buffer can still hold


## Example - simple example
Simple reading and writing. See test_buffer for tests and usage.

```python
import numpy as np
import np_rw_buffer

buffer = np_rw_buffer.RingBuffer(10)

buffer.write(np.arange(5))
r = buffer.read(4)
assert np.all(r == np.arange(4).reshape((-1, 1)))

# Not enough data, don't read anything (use read_remaining or get_data)
d = np.arange(5).reshape((-1, 1))
buffer.write(d)
r = buffer.read(10)
assert len(r) == 0
assert len(buffer) == 6

r = buffer.read()
assert len(r) == 6
assert np.all(r == np.vstack((d[-1:], d)))

buffer.write(np.arange(6))
# buffer.write(np.arange(5)) # Raises an OverflowError
buffer.write(np.arange(5), False)
```