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Type stubs for toolz

Project description

toolz-stubs

CI

Type stubs for toolz and tlz - Python functional programming libraries.

Type hinting for cytoolz is available via tlz.

Installation

pip install toolz-stubs

This installs type stubs for both toolz and tlz.

Usage

Once installed, type checkers like mypy, pyright, or basedpyright will automatically use these stubs:

import toolz
from toolz import curry, compose, pipe

@curry
def add(x: int, y: int) -> int:
    return x + y

# Type checkers will understand these operations
add_five = add(5)  # Correctly typed as partial function
result = add_five(3)  # Type checked as int

The same types work with tlz:

import tlz
from tlz import curry, compose, pipe

# Identical API, same type hints
result = tlz.pipe(data, transform1, transform2)

What's Included

This package provides type stubs (.pyi files) for:

  • toolz: The pure Python functional programming library
  • tlz: The auto-selecting wrapper that uses cytoolz (if available) or falls back to toolz

Modules covered:

  • toolz.functoolz / tlz.functoolz - Function manipulation (curry, compose, pipe, etc.)
  • toolz.itertoolz / tlz.itertoolz - Iterator utilities (groupby, partition, sliding_window, etc.)
  • toolz.dicttoolz / tlz.dicttoolz - Dictionary operations (merge, valmap, keyfilter, etc.)
  • toolz.curried / tlz.curried - Pre-curried versions of all functions
  • toolz.recipes / tlz.recipes - Common recipes (countby, partitionby)
  • toolz.sandbox / tlz.sandbox - Experimental utilities

Development

make sync    # Install dependencies
make check   # Run type checker
make test    # Run tests
make lint    # Run linter
make format  # Check formatting
make build   # Build wheel

If manually running commands, be sure to specify --no-editable or hatchling will mispackage toolz & tlz packages.

Tests

The tests in tests/ serve a few purposes:

  • they verify runtime behavior with pytest.
  • they verify that these stubs geninely improve the developer experience in an IDE.
  • they are type-checked by basedpyright. This ensures the stubs match actual library behavior.

Contributing

Contributions are welcome! Areas that could use improvement:

  1. More precise generic types
  2. Additional overloads for functions with variable signatures
  3. Improved curry and composition typing
  4. Protocol types for duck-typed parameters

License

BSD 3-Clause (same as toolz)

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