rfcs | RFCs for changes to Kadalu https : //kadalu.io/rfcs

by kadalu Shell Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | rfcs Summary

rfcs is a Shell library. rfcs has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Many changes, including bug fixes and documentation improvements can be implemented and reviewed via the normal GitHub pull request workflow. Some changes though are "substantial", and we ask that these be put through a bit of a design process and produce a consensus among the Kadalu community and the [sub-team]s. The "RFC" (request for comments) process is intended to provide a consistent and controlled path for new features to enter the Kadalu echosystem, so that all stakeholders can be confident about the direction the community.

Support

Quality

Security

License

Reuse

Support

rfcs has a low active ecosystem.

It has 4 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 11 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rfcs is current.

Quality

rfcs has no bugs reported.

Security

rfcs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

rfcs does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

rfcs releases are not available. You will need to build from source code and install.

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rfcs Key Features

No Key Features are available at this moment for rfcs.

rfcs Examples and Code Snippets

Decorate a function .

python

Lines of Code : 402

License : Non-SPDX (Apache License 2.0)

Copy

def function(func=None,
             input_signature=None,
             autograph=True,
             jit_compile=None,
             reduce_retracing=False,
             experimental_implements=None,
             experimental_autograph_options=None,

Generate an RNN layer .

python

Lines of Code : 259

License : Non-SPDX (Apache License 2.0)

Copy

def dynamic_rnn(cell,
                inputs,
                sequence_length=None,
                initial_state=None,
                dtype=None,
                parallel_iterations=None,
                swap_memory=False,
                time_majo

Create a snapshot of a dataset .

python

Lines of Code : 86

License : Non-SPDX (Apache License 2.0)

Copy

def snapshot(path, compression="AUTO", reader_func=None, shard_func=None):
  """API to persist the output of the input dataset.

  The snapshot API allows users to transparently persist the output of their
  preprocessing pipeline to disk, and materi

Community Discussions

No Community Discussions are available at this moment for rfcs.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rfcs

You can download it from GitHub.

Support

It’s often helpful to get feedback on your concept before diving into the level of API design detail required for an RFC. You may open an issue on this repo to start a high-level discussion, with the goal of eventually formulating an RFC pull request with the specific implementation design. We also highly recommend sharing drafts of RFCs in #dev-rfc on the Kadalu Slack channel for early feedback.

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