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.post217

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.post217
File Size Uploaded
pythondata-cpu-cv32e40x-0.4.0.post217.tar.gz 941.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pythondata-cpu-cv32e40x 0.4.0.post217
File Interpreter ABI Platform
pythondata_cpu_cv32e40x-0.4.0.post217-py3-none-any.whl Python 3 none any Details

Total release size: 2.0 MB

Release files / pythondata-cpu-cv32e40x-0.4.0.post217.tar.gz

Download URL pythondata-cpu-cv32e40x-0.4.0.post217.tar.gz
Size 941.2 kB
Tags Source
SHA-256 checksum
How to use checksums
bbc0a4041c8afb34f39509b0322d9e1003aba22c7a850b41b2f62086ff9355dd
BLAKE2b-256 checksum
How to use checksums
e7337296763923cd1219a0e60c8ff6e6219bcc6c7a7d455f11f70cd731b21ef3
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.post217-py3-none-any.whl

Download URL pythondata_cpu_cv32e40x-0.4.0.post217-py3-none-any.whl
Size 1.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
aa2b0399b3be07d0ce5e65756de03d310956d98bed3bc73dc3e81af88a453728
BLAKE2b-256 checksum
How to use checksums
b263041c7df96c68b90d281e388f92d47d5d15c69938062ce3ed972a460385f4
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.post217 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