Skip to main content

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

Issues and Fixes

This package is autogenerated from the sources in https://github.com/SpinalHDL/VexRISCV.git using the pythondata-auto toolset. Pull requests and issues on this pythondata repo may not be monitored.

Metadata

Release files for pythondata-cpu-vexriscv 1.0.1.post403

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pythondata-cpu-vexriscv 1.0.1.post403
File Size Uploaded
pythondata-cpu-vexriscv-1.0.1.post403.tar.gz 8.4 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for pythondata-cpu-vexriscv 1.0.1.post403
File Interpreter ABI Platform
pythondata_cpu_vexriscv-1.0.1.post403-py3-none-any.whl Python 3 none any Details

Total release size: 17.4 MB

Release files / pythondata-cpu-vexriscv-1.0.1.post403.tar.gz

Download URL pythondata-cpu-vexriscv-1.0.1.post403.tar.gz
Size 8.4 MB
Tags Source
SHA-256 checksum
How to use checksums
cc2c0f478d01405f29b166ce9b480f45c15158cd920188f14cd622e6504ba3c0
BLAKE2b-256 checksum
How to use checksums
45d7be67a7326ca9a12de1953da8cfc5b2d3ea81c650d25a84d21ba312c898c2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.10.4

Release files / pythondata_cpu_vexriscv-1.0.1.post403-py3-none-any.whl

Download URL pythondata_cpu_vexriscv-1.0.1.post403-py3-none-any.whl
Size 9.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
9682a2d27752ccb7c4a6e1dbcea3f180ad7b5f1a38fc3f110d604ff79d0c6034
BLAKE2b-256 checksum
How to use checksums
8e72eafc7c0b4548450cd291a3d12cb0ce55431f9fb490844e7ea64457fc1a44
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.10.4
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page