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.post191.tar.gz (906.7 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file pythondata-cpu-cv32e40x-0.1.0.post191.tar.gz.

File metadata

  • Download URL: pythondata-cpu-cv32e40x-0.1.0.post191.tar.gz
  • Upload date:
  • Size: 906.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 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.post191.tar.gz
Algorithm Hash digest
SHA256 347d8d1c22dce5c783d9c4212452cf0bc66730ef98d6f08d716924e1c795c3dd
MD5 0e699192b767d3fb794a0d7931ccd61f
BLAKE2b-256 7daf863d749a5c32c90f2fc4bd1fca37fa8795d7b5cf2e9cb6759c48429c6b90

See more details on using hashes here.

File details

Details for the file pythondata_cpu_cv32e40x-0.1.0.post191-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_cv32e40x-0.1.0.post191-py3-none-any.whl
  • Upload date:
  • Size: 995.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 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.post191-py3-none-any.whl
Algorithm Hash digest
SHA256 f17416a8f495bf97f57d45925f313b5f943f190e19a85fa10226ff4ebd44bf3b
MD5 6fc079151cf1298dd372231d8af65776
BLAKE2b-256 20ef693c76c1d1c01ad69a2fcb9b25cec99f4453acd606d0bf07bf496731a1e9

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