Creating Your First Block

This tutorial will guide you through creating your first block with the Embedded Python Block. The previous tutorial is here: Streams and Vectors

Embedded Python Block

The Embedded Python Block is a tool to quickly prototype a block within a flowgraph. Search for the Python Block and add it to the workspace:

Double-click the box to edit the properties. The Embedded Python Block has two properties,

1. Code, a click-box which contains a link to the Python code for the block and
2. Example_Param, an input parameter to the block.

Click on Open in Editor to edit the Python code:

You will be prompted with another choice for which editor to use to write the Python code. Click Use Default:

An editor window will then display the Python code for the Embedded Python Block:

Editing Python Block Code

There are three important sections in the Python block code:

1. import statements in green
2. __init__ function in orange
3. work function in red

The import statement includes the NumPy and GNU Radio libraries.

The __init__ statement:

1. Accepts the example_param parameter with a default argument of 1.0
2. Declares the block to have a np.complex64 input and output, which is the GNU Radio Complex Float 32 data type
3. Stores the self.example_param variable from the input parameter

The work function:

1. Has the input input_items and output output_items parameters
2. Applies a mathematical operation to input_items and stores the result in output_items
3. Returns the number of samples produced

The example block we are going to create will either add or multiply the two blocks based on the input parameter example_param. In order to do this, the work function will need to be modified.