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#154 gdtest_ug_deep_nest

#154 gdtest_ug_deep_nest OK INIT
Deeply nested user guide with multi-level subdirectory structure.
Deeply nested user guide: user_guide/section1/subsection1/ with pages at multiple levels. Tests multi-level directory traversal.
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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

M6
M6Deeply nested UGuser_guide

Source Files

📁 gdtest_ug_deep_nest/
📄 __init__.py
"""Test package for deeply nested user guide."""
📄 core.py
"""Core drill_down/summarize functions."""


def drill_down(path: str) -> list:
    """Drill down into a nested data path.

    Parameters
    ----------
    path : str
        A dot-separated path to drill into.

    Returns
    -------
    list
        The items found at the given path.

    Examples
    --------
    >>> drill_down("section1.topic1")
    ['details']
    """
    return []


def summarize(data: list) -> str:
    """Summarize a list of data items into a string.

    Parameters
    ----------
    data : list
        The data items to summarize.

    Returns
    -------
    str
        A summary string of the data.

    Examples
    --------
    >>> summarize(["a", "b", "c"])
    'a, b, c'
    """
    return ", ".join(str(x) for x in data)
📁 user_guide/
📁 section1/
📁 topic1/
📄 details.qmd
---
title: Topic 1 Details
---

# Topic 1 Details

Detailed information about topic 1 in section 1.
📁 topic2/
📄 overview.qmd
---
title: Topic 2 Overview
---

# Topic 2 Overview

An overview of topic 2 in section 1.
📁 section2/
📄 intro.qmd
---
title: Section 2 Introduction
---

# Section 2 Introduction

Introduction to the second section of the guide.
📄 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

# Exclusions
# ----------
# Items to exclude from auto-documentation (affects 'init' and 'scan')
# 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

# 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

# API Reference Structure
# -----------------------
# Auto-discovery couldn't determine your package's public API.
# You can manually specify which items to document here.
#
# Uncomment and customize the reference section below:
#
# reference:
#   - title: Functions
#     desc: Public functions provided by the package
#     contents:
#       - my_function
#       - another_function
#
#   - title: Classes
#     desc: Main classes for working with the package
#     contents:
#       - name: MyClass
#         members: false       # Don't document methods inline
#       - SimpleClass          # Methods documented inline (default)
#
# After editing, run 'great-docs build' to generate your documentation.