Skip to main content

Python module containing verilog files for VexRISCV cpu.

Project description

pythondata-cpu-vexriscv

Non-Python files needed for the cpu vexriscv 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_vexriscv. The pythondata_cpu_vexriscv.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_vexriscv

my_data_file = "abc.txt"

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

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

from pythondata_cpu_vexriscv import data_file

my_data_file = "abc.txt"

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

The data files are generated from https://github.com/SpinalHDL/VexRISCV.git and place in the directory pythondata_cpu_vexriscv/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-vexriscv.git
cd pythondata-cpu-vexriscv
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-vexriscv.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-vexriscv.git

You can install a specific revision of the repository using;

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

With requirements.txt file

Add to your Python requirements.txt file using;

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

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

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

Via PyPi

Using pip

pip install --user pythondata-cpu-vexriscv

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-vexriscv

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

pythondata-cpu-vexriscv-1.0.1.post389.tar.gz (8.2 MB view details)

Uploaded Source

Built Distribution

File details

Details for the file pythondata-cpu-vexriscv-1.0.1.post389.tar.gz.

File metadata

  • Download URL: pythondata-cpu-vexriscv-1.0.1.post389.tar.gz
  • Upload date:
  • Size: 8.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for pythondata-cpu-vexriscv-1.0.1.post389.tar.gz
Algorithm Hash digest
SHA256 c1c476dfbd311ec704ca011ce9b4385bf0bdd99d61db3126cf047147650ec3c7
MD5 98d58c952e1cc90843a23fef0cb686b8
BLAKE2b-256 1db3d672ae832587e039bac070a970e2608fdfd4a0e519fdf5a83d348d5dbe9e

See more details on using hashes here.

File details

Details for the file pythondata_cpu_vexriscv-1.0.1.post389-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_vexriscv-1.0.1.post389-py3-none-any.whl
  • Upload date:
  • Size: 8.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for pythondata_cpu_vexriscv-1.0.1.post389-py3-none-any.whl
Algorithm Hash digest
SHA256 a6476b1a5063716c949c1064a587e7edcc6854e12c8f3c048b52b7e888b5acee
MD5 6c78bed873b4c4822fbdb7e93e942870
BLAKE2b-256 5cbb2d0aae7e7c6f68ca0a240bb535c80222c6cc0aebfd141ae8bd5f14935ec4

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