Skip to main content

Python module containing system_verilog files for Ibex cpu.

Project description

pythondata-cpu-ibex

Non-Python files needed for the cpu ibex packaged into a Python module so they can be used with Python libraries and tools.

This is useful for usage with tools like LiteX.

The data files can be found under the Python module pythondata_cpu_ibex. The pythondata_cpu_ibex.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_ibex

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_ibex.data_location, my_data_file)) as f:
    print(f.read())

Example of getting the data file using litex.data.find API;

from pythondata_cpu_ibex import data_file

my_data_file = "abc.txt"

with open(data_file(my_data_file)) as f:
    print(f.read())

The data files come from https://github.com/lowRISC/ibex and are imported using git subtrees to the directory pythondata_cpu_ibex/system_verilog.

Installing

Directly from git repository

Manually

You can install the package manually, however this is not recommended.

git clone https://github.com/litex-hub/pythondata-cpu-ibex.git
cd pythondata-cpu-ibex
sudo python setup.py install

Using pip with git repository

You can use pip to install the data package directly from github using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-ibex.git

If you want to install for the whole system rather than just the current user, you need to remove the --user argument and run as sudo like so;

sudo pip install git+https://github.com/litex-hub/pythondata-cpu-ibex.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-ibex.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-ibex.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-ibex.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-ibex.git

To use a specific revision of the repository, use the following;

-e https://github.com/litex-hub/pythondata-cpu-ibex.git@<hash>

Via PyPi

Using pip

pip install --user pythondata-cpu-ibex

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-ibex

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

pythondata-cpu-ibex-0.0.post2315.tar.gz (1.9 MB view details)

Uploaded Source

Built Distribution

File details

Details for the file pythondata-cpu-ibex-0.0.post2315.tar.gz.

File metadata

  • Download URL: pythondata-cpu-ibex-0.0.post2315.tar.gz
  • Upload date:
  • Size: 1.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for pythondata-cpu-ibex-0.0.post2315.tar.gz
Algorithm Hash digest
SHA256 103bb3d9bbfee49ff343f4ce05616d6d1951ed99db9eef118ccf3d957a203573
MD5 0ac9a864c9ff62224f062df663389e9d
BLAKE2b-256 953cfd839bbcbaec5e7f8344a7154049b9c400a7eb783495b4c72582b200f4d8

See more details on using hashes here.

File details

Details for the file pythondata_cpu_ibex-0.0.post2315-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_ibex-0.0.post2315-py3-none-any.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for pythondata_cpu_ibex-0.0.post2315-py3-none-any.whl
Algorithm Hash digest
SHA256 6f3118984ad228a3a6fdc9c247af9fbcb13d8ed9230bb16d8b4aa87ef3622a60
MD5 2bd339e2198456605157954324cac0cf
BLAKE2b-256 40ad1b16ad39668ba012324389b3e50e695ce8d6aaec8efe1416f03637e03b6a

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