Skip to main content

Python module containing verilog files for Marocchino cpu.

Project description

pythondata-cpu-marocchino

Non-Python files needed for the cpu marocchino 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_marocchino. The pythondata_cpu_marocchino.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_marocchino

my_data_file = "abc.txt"

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

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

from pythondata_cpu_marocchino 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/openrisc/or1k_marocchino.git and are imported using git subtrees to the directory pythondata_cpu_marocchino/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-marocchino.git
cd pythondata-cpu-marocchino
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-marocchino.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-marocchino.git

You can install a specific revision of the repository using;

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

With requirements.txt file

Add to your Python requirements.txt file using;

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

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

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

Via PyPi

Using pip

pip install --user pythondata-cpu-marocchino

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-marocchino

Project details


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-marocchino-0.0.post193.tar.gz (206.7 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file pythondata-cpu-marocchino-0.0.post193.tar.gz.

File metadata

  • Download URL: pythondata-cpu-marocchino-0.0.post193.tar.gz
  • Upload date:
  • Size: 206.7 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/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for pythondata-cpu-marocchino-0.0.post193.tar.gz
Algorithm Hash digest
SHA256 431d51880641be01ceaac75ff117d426f435b2e07561969bec80bab4d4f937d6
MD5 45d0ed985006bfcc9aa9132a2dbe28be
BLAKE2b-256 1b94abbdbcb879b7868c3c70ebdcd9552d4456debadb6a54155970a6095c7eab

See more details on using hashes here.

File details

Details for the file pythondata_cpu_marocchino-0.0.post193-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_marocchino-0.0.post193-py3-none-any.whl
  • Upload date:
  • Size: 239.2 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/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for pythondata_cpu_marocchino-0.0.post193-py3-none-any.whl
Algorithm Hash digest
SHA256 50a3acd185ff8a8e7a8a972fa160681c1b1497a255bd3c42ffa7bd60e9104444
MD5 319958e03f5903d4ff2de67f04fe3dc0
BLAKE2b-256 c5e44a78eba4f67169be1c6439277b4d354b5800561866002a51b801d975f291

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