meta-pytorch / meta-pytorch/data

`scan` support

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good first issue help wanted
Dominant language
Python
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Description

🚀 The feature

How does one create an IterDataPipe with scan/fold semantics?

Motivation, pitch

Necessary for pipelines that require some kind of state, eg. label encoding for an unknown number of labels.

Alternatives

No response

Additional context

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No file or test is named. Start by locating the IterDataPipe implementation and related pipeline operators, then define the intended scan/fold semantics and state behavior from the issue’s label-encoding example. Done means a usable stateful operation with tests covering the proposed behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data-engineering
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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