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 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>

Installing from PyPi

Using pip

pip install --user 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.post383.tar.gz (8.1 MB view details)

Uploaded Source

Built Distribution

File details

Details for the file pythondata-cpu-vexriscv-1.0.1.post383.tar.gz.

File metadata

  • Download URL: pythondata-cpu-vexriscv-1.0.1.post383.tar.gz
  • Upload date:
  • Size: 8.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for pythondata-cpu-vexriscv-1.0.1.post383.tar.gz
Algorithm Hash digest
SHA256 3047ea6ada32279f4983259ba0f337223bbae5b5055d8a7c75c5474e400d6e26
MD5 b9ce777926df0a0f38acf9818a204c9c
BLAKE2b-256 33a666c49d703e8fefe7f6689164f98d6b4572a13f6060dfe5dc33c049195d1a

See more details on using hashes here.

File details

Details for the file pythondata_cpu_vexriscv-1.0.1.post383-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_vexriscv-1.0.1.post383-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/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for pythondata_cpu_vexriscv-1.0.1.post383-py3-none-any.whl
Algorithm Hash digest
SHA256 971a889fdec27502eb4fab71ff0654f9e2ad2da2fe5a6e65bb74e96b076c5c54
MD5 cbaf58f50f5976c2d3bba5a502ea9ba1
BLAKE2b-256 cb2bd5d4c8c9f153f30773b5374c818baae89f1cafdceba95012845d2dbb07f9

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