gdtest_generators — Synthetic Package Details

#059 gdtest_generators OK INIT

Generator functions using yield

Module with generator functions using yield: count_up, fibonacci, iter_chunks. On the Reference page the functions should show Iterator/Generator return types. The yield-based docstrings should render properly. Key test: generator signatures are handled.

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Build Mode

○ No great-docs.yml

This package has no pre-supplied config. It tests the full great-docs init → great-docs build pipeline from scratch, relying entirely on auto-detection of the package layout, docstring style, and exports.

Dimensions

A1 B1 C14 D1 E6 F6 G1 H7

A1Flat layoutlayout

B1Explicit __all__exports

C14Generator functionsobjects

D1NumPydocstrings

E6No directivesdirectives

F6No user guideuser_guide

G1README.mdlanding

H7No extrasextras

Source Files

📁 gdtest_generators/

📄 __init__.py

"""Package with generator functions."""

from typing import Iterator

__version__ = "0.1.0"
__all__ = ["count_up", "fibonacci", "iter_chunks"]


def count_up(start: int = 0) -> Iterator[int]:
    """
    Count upward from a start value.

    Parameters
    ----------
    start
        Starting value.

    Returns
    -------
    Iterator[int]
        An iterator yielding successive integers.
    """
    n = start
    while True:
        yield n
        n += 1


def fibonacci(limit: int = 100) -> Iterator[int]:
    """
    Generate Fibonacci numbers up to a limit.

    Parameters
    ----------
    limit
        Maximum value to generate.

    Returns
    -------
    Iterator[int]
        An iterator yielding Fibonacci numbers.
    """
    a, b = 0, 1
    while a <= limit:
        yield a
        a, b = b, a + b


def iter_chunks(data: list, size: int = 10) -> Iterator[list]:
    """
    Iterate over data in chunks.

    Parameters
    ----------
    data
        Input data list.
    size
        Chunk size.

    Returns
    -------
    Iterator[list]
        An iterator yielding list chunks.
    """
    for i in range(0, len(data), size):
        yield data[i:i + size]

📄 README.md

# gdtest-generators

Tests documentation of generator functions using yield.

📄 great-docs.yml generated

# Great Docs Configuration
# See https://posit-dev.github.io/great-docs/user-guide/configuration.html

# Module Name (optional)
# ----------------------
# Set this if your importable module name differs from the project name.
# Example: project 'py-yaml12' with module name 'yaml12'
# module: yaml12

# Docstring Parser
# ----------------
# The docstring format used in your package (numpy, google, or sphinx)
parser: numpy

# Dynamic Introspection
# ---------------------
# Use runtime introspection for more accurate documentation (default: true)
# Set to false if your package has cyclic alias issues (e.g., PyO3/Rust bindings)
dynamic: true

# API Discovery Settings
# ----------------------
# Exclude items from auto-documentation
# exclude:
#   - InternalClass
#   - helper_function

# Logo & Favicon
# ---------------
# Point to a single logo file (replaces the text title in the navbar):
# logo: assets/logo.svg
#
# For light/dark variants:
# logo:
#   light: assets/logo-light.svg
#   dark: assets/logo-dark.svg
#
# To show the text title alongside the logo, add: show_title: true

# Funding / Copyright Holder
# --------------------------
# Credit the organization that funds or holds copyright for this package.
# Displays in sidebar and footer. Homepage and ROR provide links.
# funding:
#   name: "Posit Software, PBC"
#   roles:
#     - Copyright holder
#     - funder
#   homepage: https://posit.co
#   ror: https://ror.org/03wc8by49

# API Reference Structure
# -----------------------
# Customize the sections below to organize your API documentation.
# - Reorder items within a section to change their display order
# - Move items between sections or create new sections
# - Use 'members: false' to exclude methods from documentation
# - Add 'desc:' to sections for descriptions

reference:
  - title: Functions
    desc: Utility functions
    contents:
      - count_up
      - fibonacci
      - iter_chunks

# Site URL
# --------
# Canonical address of the deployed documentation site.
# Required for subdirectory deployments, skills page install commands,
# .well-known/ discovery, and sitemaps.
# site_url: "https://your-org.github.io/your-package/"

# Site Settings
# -------------
# site:
#   theme: flatly              # Quarto theme (default: flatly)
#   toc: true                  # Show table of contents (default: true)
#   toc-depth: 2               # TOC heading depth (default: 2)
#   toc-title: On this page    # TOC title (default: "On this page")

# Jupyter Kernel
# --------------
# Jupyter kernel to use for executing code cells in .qmd files.
# This is set at the project level so it applies to all pages, including
# auto-generated API reference pages. Can be overridden in individual .qmd
# file frontmatter if needed for special cases.
jupyter: python3

# CLI Documentation
# -----------------
# cli:
#   enabled: true              # Enable CLI documentation
#   module: my_package.cli     # Module containing Click commands
#   name: cli                  # Name of the Click command object