import

The code defines a function importNotebook to import a notebook, which interprets the notebook using the interpret function from the Core module, and then makes a module based on the notebook's language.

The code imports Node.js modules and defines two functions: getCached, which returns a cached module if it exists and is up-to-date, and makeModule, which creates and caches a new module object.

The provided code consists of two functions, runPythonModule and makePythonModule, designed to execute and manage Python modules in a Node.js environment. The runPythonModule function runs a Python module and captures its output, while the makePythonModule function creates a new Python module from provided code and returns its exports.

The makeESModule function creates an ES module from a given code string by first checking for a cached module, then setting up a context object, creating a new ES module instance, caching and exporting the module, linking and exporting dependencies, and optionally logging the process.

The code imports modules, defines constants, and constructs paths to DLL files, before implementing two functions: buildDLL, which compiles DLLs from code, and makeDLL, which imports and interprets code, then logs extracted namespace information to the console.

The code is part of a larger project that generates dynamic libraries (dylibs) from code, using Node.js modules and the ffi-rs library for interoping with Rust code. It defines several functions, including generateCallback and makeDylib, which are used to interact with and create dylibs.

The code consists of two functions: resultMarkdown which formats a single result in markdown, and displayCell which formats an array of results in markdown, and exports displayCell as a module.

The code creates a database using Fuse.js for tokenized search and a custom search function levSearch, and exports functions for database creation, querying, and cell lookup. If Fuse.js is unavailable, it uses the custom search function instead.

The code initializes and manages a cache system, loading data from notebooks and creating a database to store cache cells. It also provides a function to interpret queries, searching for files with matching extensions or cells in the cache database as needed.

This code provides functions to filter and search notebook files based on various queries and criteria. Functions support searching local files, filtering filenames, and querying a database or cache for matching notebook files.

The regexToArray function takes a regular expression and a string, and returns an array of objects containing information about the matches found. Each object contains the starting index, length, and optional group value of a match.

Executes an array of promises concurrently and returns the aggregated result.

Takes an array of functions or promises and returns a promise that resolves with a concatenated result.

The getCells function extracts notebook cells from a JSON-formatted notebook file based on specified cell types, and returns an array of notebook cells with additional metadata. It resolves the notebook path, reads the file, extracts kernel and cells, filters by type, adds metadata, and returns the modified cells array.

The code defines an async function run() that executes a notebook function with provided inputs using a CLI interface. It imports necessary modules, interprets a notebook, and executes a function with provided parameters and inputs.