Skip to main content

pythondata-cpu-cv32e40x

Non-Python files needed for the cpu cv32e40x 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_cv32e40x. The pythondata_cpu_cv32e40x.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_cv32e40x

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_cv32e40x.data_location, my_data_file)) as f:
    print(f.read())

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

from pythondata_cpu_cv32e40x 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/openhwgroup/cv32e40x and are imported using git subtrees to the directory pythondata_cpu_cv32e40x/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-cv32e40x.git
cd pythondata-cpu-cv32e40x
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-cv32e40x.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-cv32e40x.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40x.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40x.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40x.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-cv32e40x.git

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

-e https://github.com/litex-hub/pythondata-cpu-cv32e40x.git@<hash>

Via PyPi

Using pip

pip install --user pythondata-cpu-cv32e40x

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-cv32e40x

Issues and Fixes

This package is autogenerated from the sources in https://github.com/openhwgroup/cv32e40x using the pythondata-auto toolset. Pull requests and issues on this pythondata repo may not be monitored.

Metadata

Release files for pythondata-cpu-cv32e40x 0.4.0.post205

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-cv32e40x 0.4.0.post205
File Size Uploaded
pythondata-cpu-cv32e40x-0.4.0.post205.tar.gz 940.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pythondata-cpu-cv32e40x 0.4.0.post205
File Interpreter ABI Platform
pythondata_cpu_cv32e40x-0.4.0.post205-py3-none-any.whl Python 3 none any Details

Total release size: 2.0 MB

Release files / pythondata-cpu-cv32e40x-0.4.0.post205.tar.gz

Download URL pythondata-cpu-cv32e40x-0.4.0.post205.tar.gz
Size 940.2 kB
Tags Source
SHA-256 checksum
How to use checksums
3a02dbafec11e6d3e21921ee6d7dcd695c18f970b498582f8ff99e0e8f31c97b
BLAKE2b-256 checksum
How to use checksums
f3600d9773f4fde836e4d9495f0cc8f359c1863e4fb0f0f0936ff1de137b1a7e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.5

Release files / pythondata_cpu_cv32e40x-0.4.0.post205-py3-none-any.whl

Download URL pythondata_cpu_cv32e40x-0.4.0.post205-py3-none-any.whl
Size 1.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
47b1685806f63150560440981df57c7f14c84d57fcb0af60a7d8849a693fe5b4
BLAKE2b-256 checksum
How to use checksums
87742dc6707cbf7dc54b92d293ce780f18bef9e7d2f7ed68404d46433dca1982
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.5

Release history Release notifications | RSS feed

This release

0.4.0.post205 This release

2 release files

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