Skip to main content

Python module containing vhdl files for microwatt cpu.

Project description

pythondata-cpu-microwatt

Non-Python files needed for the cpu microwatt packaged into a Python module so they can be used with Python libraries and tools.

This Useful for usage with tools like LiteX.

The data files can be found under the Python module pythondata_cpu_microwatt. The pythondata_cpu_microwatt.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_microwatt

my_data_file = "abc.txt"

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

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

from pythondata_cpu_microwatt 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/antonblanchard/microwatt and are imported using git subtrees to the directory pythondata_cpu_microwatt/vhdl.

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-microwatt.git
cd pythondata-cpu-microwatt
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-microwatt.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-microwatt.git

You can install a specific revision of the repository using;

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

With requirements.txt file

Add to your Python requirements.txt file using;

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

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

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

Installing from PyPi

Using pip

pip install --user pythondata-cpu-microwatt

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-microwatt-0.0.post667.tar.gz (19.4 MB view details)

Uploaded Source

Built Distribution

File details

Details for the file pythondata-cpu-microwatt-0.0.post667.tar.gz.

File metadata

  • Download URL: pythondata-cpu-microwatt-0.0.post667.tar.gz
  • Upload date:
  • Size: 19.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.9

File hashes

Hashes for pythondata-cpu-microwatt-0.0.post667.tar.gz
Algorithm Hash digest
SHA256 859afca513f478ead2d50f56cf4a6de766d9ea0bf6d79febb3869aa09211af1d
MD5 f130ab527c249c6f6767832795f8081d
BLAKE2b-256 409d8c079cde9e0def2fc969f5079fcde67f128718faa734c657a49f0d2f77f3

See more details on using hashes here.

File details

Details for the file pythondata_cpu_microwatt-0.0.post667-py3-none-any.whl.

File metadata

  • Download URL: pythondata_cpu_microwatt-0.0.post667-py3-none-any.whl
  • Upload date:
  • Size: 19.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.9

File hashes

Hashes for pythondata_cpu_microwatt-0.0.post667-py3-none-any.whl
Algorithm Hash digest
SHA256 820aeda13223c77f2c4d260d4793617788926173803d1f4598de852bf508ef41
MD5 d839006a350aa6bb78a59e2ed188ac81
BLAKE2b-256 24b709f5378e38fd437e11ee1fe21d66f6ba098bee6a1bd3d89e3a57509566ce

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