Skip to main content

Python module containing verilog files for OpenRISC1000 cpu.

Project description

pythondata-cpu-mor1kx

Non-Python files needed for the cpu mor1kx 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_mor1kx. The pythondata_cpu_mor1kx.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_mor1kx

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_mor1kx.data_location, my_data_file)) as f:
    print(f.read())

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

from pythondata_cpu_mor1kx 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/mor1kx.git and are imported using git subtrees to the directory pythondata_cpu_mor1kx/verilog.

Installing from git repository

Manually

You can install the package manually, however this is not recommended.

git clone https://github.com/litex-hub/pythondata-cpu-mor1kx.git
cd pythondata-cpu-mor1kx
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-mor1kx.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-mor1kx.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-mor1kx.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-mor1kx.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-mor1kx.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-mor1kx.git

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

-e https://github.com/litex-hub/pythondata-cpu-mor1kx.git@<hash>

Installing from PyPi

Using pip

pip install --user pythondata-cpu-mor1kx

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-mor1kx-5.1.post118.tar.gz (205.7 kB view details)

Uploaded Source

Built Distribution

pythondata_cpu_mor1kx-5.1.post118-py3-none-any.whl (254.6 kB view details)

Uploaded Python 3

File details

Details for the file pythondata-cpu-mor1kx-5.1.post118.tar.gz.

File metadata

  • Download URL: pythondata-cpu-mor1kx-5.1.post118.tar.gz
  • Upload date:
  • Size: 205.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for pythondata-cpu-mor1kx-5.1.post118.tar.gz
Algorithm Hash digest
SHA256 e1c3844bd59ca229feec8433a36940a35560b3c98eafd37bfd1b97bffd7b536a
MD5 1506881c85051ff1106d979debc12622
BLAKE2b-256 fd409230a546ef994e9c3889fabc640c4bcad9be568c459c1670a5c53c186c12

See more details on using hashes here.

File details

Details for the file pythondata_cpu_mor1kx-5.1.post118-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_mor1kx-5.1.post118-py3-none-any.whl
  • Upload date:
  • Size: 254.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for pythondata_cpu_mor1kx-5.1.post118-py3-none-any.whl
Algorithm Hash digest
SHA256 05aa22cd20d4da6d645a0802d2150032b9b87a2200b43aa692adf0ff77407330
MD5 59dd25ad0f90120fc1f9214f76323329
BLAKE2b-256 983d31bce3ab6e7c47e575e4d56da118635acfd2387d4bd9d8344765b75a23d7

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