Skip to main content

pythondata-cpu-lm32

Non-Python files needed for the cpu lm32 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_lm32. The pythondata_cpu_lm32.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_lm32

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_lm32.data_location, my_data_file)) as f:
    print(f.read())

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

from pythondata_cpu_lm32 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/m-labs/lm32.git and are imported using git subtrees to the directory pythondata_cpu_lm32/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-lm32.git
cd pythondata-cpu-lm32
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-lm32.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-lm32.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-lm32.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-lm32.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-lm32.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-lm32.git

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

-e https://github.com/litex-hub/pythondata-cpu-lm32.git@<hash>

Installing from PyPi

Using pip

pip install --user pythondata-cpu-lm32

Metadata

Release files for pythondata-cpu-lm32 0.0.post170

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-lm32 0.0.post170
File Size Uploaded Provenance Actions
pythondata-cpu-lm32-0.0.post170.tar.gz 101.7 kB Without provenance Details for pythondata-cpu-lm32-0.0.post170.tar.gz

Built distributions (wheels)

Table of built distributions (wheels) for pythondata-cpu-lm32 0.0.post170
File Interpreter ABI Platform Actions
pythondata_cpu_lm32-0.0.post170-py3-none-any.whl Python 3 none any Details for pythondata_cpu_lm32-0.0.post170-py3-none-any.whl
pythondata_cpu_lm32-0.0.post170-py2-none-any.whl Python 2 none any Details for pythondata_cpu_lm32-0.0.post170-py2-none-any.whl

Total release size: 389.7 kB

Release files / pythondata-cpu-lm32-0.0.post170.tar.gz

Download URL pythondata-cpu-lm32-0.0.post170.tar.gz
Size 101.7 kB
Tags Source
SHA-256 checksum
How to use checksums
532c125d3aa74beae54b487a07594a071f5d26096dbd1aa7d7c2c7af8a75980e
BLAKE2b-256 checksum
How to use checksums
4934dd2a2f2c0ae193c88d1e69f085b126aa28bf8d726d143c8fa36265a47308
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

Release files / pythondata_cpu_lm32-0.0.post170-py3-none-any.whl

Download URL pythondata_cpu_lm32-0.0.post170-py3-none-any.whl
Size 144.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
05eef2290fe81d1277a3d5f51ca6e55868a9b684f4150d22cb37b1f890f7f837
BLAKE2b-256 checksum
How to use checksums
ad4c5bf7282c29df11e41ab11070c9269f6baf932767929cf9bfb45b4dc2305b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

Release files / pythondata_cpu_lm32-0.0.post170-py2-none-any.whl

Download URL pythondata_cpu_lm32-0.0.post170-py2-none-any.whl
Size 144.0 kB
Tags Python 2
SHA-256 checksum
How to use checksums
b342f56aa321a8d3edb8696ebf465057357750ad7b348c1306d1dae53cebd3f3
BLAKE2b-256 checksum
How to use checksums
d69cf6eb060bb0e3832c5afc6f0daa63380754e6a19918f4a520afa7f48be70f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.8.2 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/2.7.18

Security for pythondata-cpu-lm32 0.0.post170

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

0.0.post170 This release

3 release files No provenance

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