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toolz primer

Report 1 · Where pipekit comes from, and why its operators are classes

Abstract

This report now lives in pipekit’s own documentation, as its Background page: where pipekit comes from, what it inherits from toolz, the six things plain functions cannot carry, and why operators settled on a typed base class while the data flowing through them did not. This page keeps the report’s place in the series and points to the sections.

Keywords:pipekittoolzfunctional compositionoperatorscarriers

Where each section went

A design that lives with the code is read by the people who use the code, and it stays checked against it. The report moved whole, with its examples, tables and figures, in MkDocs syntax (Table 1).

Table 1:The report’s sections and their new homes on pipekit’s Background page.

Section hereOn the Background page
Why this report existsWhy this page exists
toolz as the ancestor, and the one-to-one mapping to pipekittoolz as the ancestor
Where toolz stops being enough (the six gaps)Where toolz stops being enough
The trajectory: functions, Protocols, typed entitiesThe trajectory
Why typed operators are not over-engineeringWhy typed operators are not over-engineering
Where nextWhere next

One correction travelled with it: nested pipelines can be loaded from hand-written Hydra YAML today (HydraConfigLoader.from_yaml in pipekit-experiment); what is missing is dumping a pipeline built in Python.

The shipped surface is Report 2, which now points to pipekit’s tour of the core.