Skip to main content

pythondata-cpu-blackparrot

Non-Python files needed for the cpu blackparrot 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_blackparrot. The pythondata_cpu_blackparrot.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_blackparrot

my_data_file = "abc.txt"

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

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

from pythondata_cpu_blackparrot 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/enjoy-digital/black-parrot.git and are imported using git subtrees to the directory pythondata_cpu_blackparrot/system_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-blackparrot.git
cd pythondata-cpu-blackparrot
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-blackparrot.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-blackparrot.git

You can install a specific revision of the repository using;

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

With requirements.txt file

Add to your Python requirements.txt file using;

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

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

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

Installing from PyPi

Using pip

pip install --user pythondata-cpu-blackparrot

Metadata

Release files for pythondata-cpu-blackparrot 0.0.post1809

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-blackparrot 0.0.post1809
File Size Uploaded
pythondata-cpu-blackparrot-0.0.post1809.tar.gz 3.9 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for pythondata-cpu-blackparrot 0.0.post1809
File
pythondata_cpu_blackparrot-0.0.post1809-py3.8.egg Legacy Egg format - - Details
pythondata_cpu_blackparrot-0.0.post1809-py3.7.egg Legacy Egg format - - Details
pythondata_cpu_blackparrot-0.0.post1809-py3.6.egg Legacy Egg format - - Details
pythondata_cpu_blackparrot-0.0.post1809-py3.5.egg Legacy Egg format - - Details
pythondata_cpu_blackparrot-0.0.post1809-py3-none-any.whl Python 3 none any Details

Total release size: 26.8 MB

Release files / pythondata-cpu-blackparrot-0.0.post1809.tar.gz

Download URL pythondata-cpu-blackparrot-0.0.post1809.tar.gz
Size 3.9 MB
Tags Source
SHA-256 checksum
How to use checksums
74db510866bad86fb36f0e0904f9d8b13191829549db387fb04ab5c336b60a93
BLAKE2b-256 checksum
How to use checksums
adb8583e4a188562a129f553b38a1a7659e2e7ca726f7803ba9939739e7308ca
Upload date
Uploaded using Trusted Publishing?
What is 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/3.6.7

Release files / pythondata_cpu_blackparrot-0.0.post1809-py3.8.egg

Download URL pythondata_cpu_blackparrot-0.0.post1809-py3.8.egg
Size 4.6 MB
Tags Egg
SHA-256 checksum
How to use checksums
d15b94d3e6ff9cfd3bd17ca51390aa8e2347963279daabebbfe84ab3a6555e5b
BLAKE2b-256 checksum
How to use checksums
f4c9194debc05e40a2de935724ab5ca4a9742a9bd8538d3ebee5c6fcae636621
Upload date
Uploaded using Trusted Publishing?
What is 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/3.8.0

Release files / pythondata_cpu_blackparrot-0.0.post1809-py3.7.egg

Download URL pythondata_cpu_blackparrot-0.0.post1809-py3.7.egg
Size 4.6 MB
Tags Egg
SHA-256 checksum
How to use checksums
58b96da9d1c7cfc1d9df55245f03700f3e153d75fcf9d81f44a73ce33798d764
BLAKE2b-256 checksum
How to use checksums
195a198960ad0092296d28b2d59f84194c0f93f8320eaed618b1ebf7f32d448b
Upload date
Uploaded using Trusted Publishing?
What is 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/3.7.1

Release files / pythondata_cpu_blackparrot-0.0.post1809-py3.6.egg

Download URL pythondata_cpu_blackparrot-0.0.post1809-py3.6.egg
Size 4.6 MB
Tags Egg
SHA-256 checksum
How to use checksums
ded9eab2b8cf67957a66a930ab6ec08485d8a8a51e93b59b9e6133174e6bd559
BLAKE2b-256 checksum
How to use checksums
e78cc915f042a7e5545c26393dfb2358803d559bf24b06343a5c7b50e1f263c9
Upload date
Uploaded using Trusted Publishing?
What is 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/3.6.7

Release files / pythondata_cpu_blackparrot-0.0.post1809-py3.5.egg

Download URL pythondata_cpu_blackparrot-0.0.post1809-py3.5.egg
Size 4.6 MB
Tags Egg
SHA-256 checksum
How to use checksums
9118c7bfc0b6d59d78de7b9d304720efcfa7be381101703c64e45b480149e54e
BLAKE2b-256 checksum
How to use checksums
37741f3f3b212e003049e68474c70db3be4619efbc419d2d65f2d25b0376fc6b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.5.6

Release files / pythondata_cpu_blackparrot-0.0.post1809-py3-none-any.whl

Download URL pythondata_cpu_blackparrot-0.0.post1809-py3-none-any.whl
Size 4.5 MB
Tags Python 3
SHA-256 checksum
How to use checksums
cc82169dad61ce60e9df466e7a05ed3cb36ab42e9aad933736b74b852faf17f9
BLAKE2b-256 checksum
How to use checksums
34686e3c555c7a63d46386d8155776b8f45569c75920632d2bd162c97bfd520f
Upload date
Uploaded using Trusted Publishing?
What is 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/3.6.7

Release history Release notifications | RSS feed

This release

0.0.post1809 This release

6 release files

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