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-0.1.0.post183.tar.gz (906.5 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file pythondata-cpu-cv32e40x-0.1.0.post183.tar.gz.

File metadata

  • Download URL: pythondata-cpu-cv32e40x-0.1.0.post183.tar.gz
  • Upload date:
  • Size: 906.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for pythondata-cpu-cv32e40x-0.1.0.post183.tar.gz
Algorithm Hash digest
SHA256 f1e3dc671c4e70d94b3cc2014f0cef7ab7774f5c72ce8f72ed5ade5e21a6588e
MD5 886b91d35c60fea1da685ddbf7126238
BLAKE2b-256 0ca75131094cedd4af6eaac03280d925abda71d1749c3605a75bc5a63c627c0e

See more details on using hashes here.

File details

Details for the file pythondata_cpu_cv32e40x-0.1.0.post183-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_cv32e40x-0.1.0.post183-py3-none-any.whl
  • Upload date:
  • Size: 995.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for pythondata_cpu_cv32e40x-0.1.0.post183-py3-none-any.whl
Algorithm Hash digest
SHA256 bd3368b6abfe7b72bbdcbb767552f08b63a6e15621dab621a73c9cac8841d2f3
MD5 9c31eca45ba8ae0b708976c4afb423a4
BLAKE2b-256 94717da4706e0d249c29860ddc60a34d9e26ece5bbba15135525943851f58527

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