Skip to main content

pythondata-cpu-cv32e40p

Non-Python files needed for the cpu cv32e40p 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_cv32e40p. The pythondata_cpu_cv32e40p.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_cv32e40p

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_cv32e40p.data_location, my_data_file)) as f:
    print(f.read())

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

from pythondata_cpu_cv32e40p 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/antmicro/cv32e40p and are imported using git subtrees to the directory pythondata_cpu_cv32e40p/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-cv32e40p.git
cd pythondata-cpu-cv32e40p
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-cv32e40p.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-cv32e40p.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40p.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40p.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40p.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-cv32e40p.git

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

-e https://github.com/litex-hub/pythondata-cpu-cv32e40p.git@<hash>

Via PyPi

Using pip

pip install --user pythondata-cpu-cv32e40p

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-cv32e40p

Issues and Fixes

This package is autogenerated from the sources in https://github.com/antmicro/cv32e40p using the pythondata-auto toolset. Pull requests and issues on this pythondata repo may not be monitored.

Metadata

Release files for pythondata-cpu-cv32e40p 0.0.post150

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-cv32e40p 0.0.post150
File Size Uploaded
pythondata-cpu-cv32e40p-0.0.post150.tar.gz 1.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for pythondata-cpu-cv32e40p 0.0.post150
File Interpreter ABI Platform
pythondata_cpu_cv32e40p-0.0.post150-py3-none-any.whl Python 3 none any Details

Total release size: 2.7 MB

Release files / pythondata-cpu-cv32e40p-0.0.post150.tar.gz

Download URL pythondata-cpu-cv32e40p-0.0.post150.tar.gz
Size 1.2 MB
Tags Source
SHA-256 checksum
How to use checksums
659965546f5068ad4b0d83a5b9ce9ee0b6a671e77bdc1b8894f4cdf921753a84
BLAKE2b-256 checksum
How to use checksums
29378ae378b4714da819cf25a9d49b48f98dc5e93fc75df139c8db37a2303553
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_cv32e40p-0.0.post150-py3-none-any.whl

Download URL pythondata_cpu_cv32e40p-0.0.post150-py3-none-any.whl
Size 1.5 MB
Tags Python 3
SHA-256 checksum
How to use checksums
d8aecc86773217b7c26872418c3824048c0c26003ba573ce21f2a8bc8854451b
BLAKE2b-256 checksum
How to use checksums
6a2e1b32e2f0728adbc11dd555febbeab17b6578c256e802b8d8ae76bc4429cc
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