Skip to main content

JupyterLab kernel for cocotb

Project description

cocotb Jupyter Kernel

Binder

This kernel adds support for using cocotb within Jupyter notebooks.

Why is a dedicated kernel needed?

cocotb works in conjunction with an HDL simulator. As such, attempting to import cocotb within a notebook will not work because no simulator is attached. This kernel works by first building the HDL design and launching the simulator using cocotb's runners, then having a cocotb test module launch ipykernel, which will connect to the notebook and execute code cells.

Installation

Prerequisites:

  • Python 3.10+
  • JupyterLab 4+ or Jupyter Notebook 6+
  • An HDL simulator (such as Icarus Verilog, Verilator, or GHDL)

After installing the prerequisites, the kernel can be installed via pip.

pip install cocotb_kernel

Usage

Before launching the kernel, create a TOML file named cocotb.toml within the project's root directory (similar to cocotb's Makefile).

The TOML file follows the cocotb runner build() and test() arguments, with a few exceptions, as shown:

# The simulator to build and simulate the HDL design
# https://docs.cocotb.org/en/stable/simulator_support.html
simulator = "icarus"

# The top level HDL module
hdl_toplevel = "foo"

# The language of the top level HDL module
hdl_toplevel_lang = "verilog"

# Optional: Verilog parameters or VHDL generics
[parameters]

# Build options
# https://docs.cocotb.org/en/stable/library_reference.html#cocotb.runner.Simulator.build
[build]
verilog_sources = ["hdl/foo.sv", "../hdl/foo.sv"] # specify sources relative to cocotb.toml
vhdl_sources = ["hdl/*.vhdl", "**/*.vhdl"]        # wildcards are also supported

# Optional: Defines to set for building
[build.defines]

# Optional: Test options
# https://docs.cocotb.org/en/stable/library_reference.html#cocotb.runner.Simulator.test
[test]

# Optional: Extra environment variables to set for testing
[test.extra_env]

Once the TOML file is created, navigate to or launch JupyterLab within the project's root directory and create or open a notebook with the cocotb kernel.

Planned Features

  • Move wavedrom support into kernel (cocotb v2.0 removes the wavedrom module)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cocotb_kernel-1.0.0.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

cocotb_kernel-1.0.0-py3-none-any.whl (6.1 kB view details)

Uploaded Python 3

File details

Details for the file cocotb_kernel-1.0.0.tar.gz.

File metadata

  • Download URL: cocotb_kernel-1.0.0.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.32.2

File hashes

Hashes for cocotb_kernel-1.0.0.tar.gz
Algorithm Hash digest
SHA256 337eed4033914bb6bfbf7743aedc5c451b7b8cdebd43b925ba89e005c56b446a
MD5 b3da5f7b9ee40a290c3525f000f0d8e0
BLAKE2b-256 6e17210528150113b3c1eb1a571f3114da5651a55692ea208bf95531cfb40b28

See more details on using hashes here.

File details

Details for the file cocotb_kernel-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for cocotb_kernel-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 78b2c313f957d1f1a14968ff3a64285a465221e6b0a41defdec247cd52228177
MD5 33cdce518ec21a0dbbff8600f65f5947
BLAKE2b-256 e6708b3c99d3893d3b84250d2c6de384a6be7013486dd4d1af796ffa7d073db2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page