Skip to main content

pythondata-cpu-cv32e40s

Non-Python files needed for the cpu cv32e40s 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_cv32e40s. The pythondata_cpu_cv32e40s.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_cv32e40s

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_cv32e40s.data_location, my_data_file)) as f:
    print(f.read())

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

from pythondata_cpu_cv32e40s 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/cv32e40s and are imported using git subtrees to the directory pythondata_cpu_cv32e40s/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-cv32e40s.git
cd pythondata-cpu-cv32e40s
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-cv32e40s.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-cv32e40s.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-cv32e40s.git

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

-e https://github.com/litex-hub/pythondata-cpu-cv32e40s.git@<hash>

Via PyPi

Using pip

pip install --user pythondata-cpu-cv32e40s

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-cv32e40s

Issues and Fixes

This package is autogenerated from the sources in https://github.com/openhwgroup/cv32e40s using the pythondata-auto toolset. Pull requests and issues on this pythondata repo may not be monitored.

Metadata

Release files for pythondata-cpu-cv32e40s 0.3.0.post370

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-cv32e40s 0.3.0.post370
File Size Uploaded
pythondata-cpu-cv32e40s-0.3.0.post370.tar.gz 841.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pythondata-cpu-cv32e40s 0.3.0.post370
File Interpreter ABI Platform
pythondata_cpu_cv32e40s-0.3.0.post370-py3-none-any.whl Python 3 none any Details

Total release size: 1.8 MB

Release files / pythondata-cpu-cv32e40s-0.3.0.post370.tar.gz

Download URL pythondata-cpu-cv32e40s-0.3.0.post370.tar.gz
Size 841.6 kB
Tags Source
SHA-256 checksum
How to use checksums
3e10dc0514f58f65d5ec48b6e7b56f305d58af32fa6a8f60ec75d2b80e201208
BLAKE2b-256 checksum
How to use checksums
aa94933aaefd82e86a952a944e258754e4885884168fe9deb919a316c3fcb133
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_cv32e40s-0.3.0.post370-py3-none-any.whl

Download URL pythondata_cpu_cv32e40s-0.3.0.post370-py3-none-any.whl
Size 939.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2928c5974484cadbe6dcb235fb2de7da27802b9ab2c4123f9b0c05c433abe427
BLAKE2b-256 checksum
How to use checksums
d512fc88195c6ae917a79d74e346dfe0e0253879a66b748a219c5b05b1492e4c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.10.4

Release history Release notifications | RSS feed

This release

0.3.0.post370 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