Skip to main content

pythondata-cpu-serv

Non-Python files needed for the cpu serv 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_serv. The pythondata_cpu_serv.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_serv

my_data_file = "abc.txt"

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

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

from pythondata_cpu_serv 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/olofk/serv and are imported using git subtrees to the directory pythondata_cpu_serv/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-serv.git
cd pythondata-cpu-serv
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-serv.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-serv.git

You can install a specific revision of the repository using;

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

With requirements.txt file

Add to your Python requirements.txt file using;

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

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

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

Via PyPi

Using pip

pip install --user pythondata-cpu-serv

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-serv

Metadata

Release files for pythondata-cpu-serv 1.1.0.post158

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pythondata-cpu-serv 1.1.0.post158
File Size Uploaded Provenance Actions
pythondata-cpu-serv-1.1.0.post158.tar.gz 666.4 kB Without provenance Details for pythondata-cpu-serv-1.1.0.post158.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for pythondata-cpu-serv 1.1.0.post158
File Interpreter ABI Platform Actions
pythondata_cpu_serv-1.1.0.post158-py3-none-any.whl Python 3 none any Details for pythondata_cpu_serv-1.1.0.post158-py3-none-any.whl

Total release size: 1.4 MB

Release files / pythondata-cpu-serv-1.1.0.post158.tar.gz

Download URL pythondata-cpu-serv-1.1.0.post158.tar.gz
Size 666.4 kB
Tags Source
SHA-256 checksum
How to use checksums
391eb7b80ee77245cbcfdaedf440e09bf017519da5514b76902ee99b23524d59
BLAKE2b-256 checksum
How to use checksums
41a8b9ab2b18f3e9a6b587659afcfe697c0646a7835fa1a42e8e88ddd5bf2a36
Upload date
Uploaded using Trusted Publishing?
What is 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/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

Release files / pythondata_cpu_serv-1.1.0.post158-py3-none-any.whl

Download URL pythondata_cpu_serv-1.1.0.post158-py3-none-any.whl
Size 723.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
25ed34f4fec94f62b69852cd4b9d8456fa79e0b53884aacd03ef76520c44c87b
BLAKE2b-256 checksum
How to use checksums
bbcaf65f849275262dd2d796fc281152093d8227f1d88ce70a4f3972fe2f6952
Upload date
Uploaded using Trusted Publishing?
What is 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/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

Security for pythondata-cpu-serv 1.1.0.post158

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page