Skip to main content

Python module containing system_verilog files for CV32E40X cpu.

Project description

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pythondata-cpu-cv32e40x-0.2.0.post146.tar.gz (907.9 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file pythondata-cpu-cv32e40x-0.2.0.post146.tar.gz.

File metadata

  • Download URL: pythondata-cpu-cv32e40x-0.2.0.post146.tar.gz
  • Upload date:
  • Size: 907.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for pythondata-cpu-cv32e40x-0.2.0.post146.tar.gz
Algorithm Hash digest
SHA256 4bca6b07c867234cc44f18bfd2ee2a6f14fa441c21ef1df1a8df19965c3a4556
MD5 56d47a37ce5ea8501cfe3e2d053f6b35
BLAKE2b-256 2e282b43d90303fbdb3b62fb3a9c4f63b38591b66ced98e2294def1215663eb4

See more details on using hashes here.

File details

Details for the file pythondata_cpu_cv32e40x-0.2.0.post146-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_cv32e40x-0.2.0.post146-py3-none-any.whl
  • Upload date:
  • Size: 996.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for pythondata_cpu_cv32e40x-0.2.0.post146-py3-none-any.whl
Algorithm Hash digest
SHA256 fbbe19ce5e7552c4ef350bc6f16a4977147ac573d9075510f30c78e1c3f0e832
MD5 24ed124d16e077a36b616bd13c2b33b3
BLAKE2b-256 6a07fa2c45117c9e1f090829df66f209ca2ef51ae235cba204831a4e191918c8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page