7

Bugs

  • No validation of input parameters like path, which could lead to potential runtime errors if incorrect data types are provided.
  • Possibility of division by zero in getData if segments or samples is zero, which could raise an exception.
  • Assumes path has defined methods like getTotalLength without checking if they exist or handling errors if they're not available.
  • In averageSegmentJoins, there's potential risk of accessing undefined array elements if outlinedData length is less than expected, particularly in loop iterations.

Optimizations

  • Consider adding validation checks for input parameters (e.g., ensuring segments and samples are positive numbers).
  • Avoid unnecessary calculations by short-circuiting conditions when precision is not needed.
  • Use Object.assign() or spread operator to clone objects instead of JSON stringification and parsing for better performance.
  • Reduce redundancy by extracting repetitive logic, such as rounding and averaging, into separate utility functions.
  • Consider using more descriptive parameter names to enhance code readability.

Good points

  • Implements a clear transformation of path data to samples and segments, showing a logical step-by-step process.
  • Attempts to handle precision in the calculations, offering flexibility to the caller.
  • Thoroughly comments the purpose and process of each function and code block, aiding in comprehension.

Summary

The code effectively maps path data into segmented samples with an option for precision. It demonstrates consistent approach in processing data, maintaining modularity with separate functions for distinct tasks. However, this implementation lacks input validation, which can cause runtime issues with unexpected inputs. By addressing potential errors, optimizing code redundancy, and ensuring input validity, the solution can be made more robust and efficient.

Open source alternatives

  • Snap.svg: A JavaScript library for modern SVG graphics focusing on delivering faster performance and better optimization.
  • D3.js: While primarily focused on data visualization, it includes powerful utilities for manipulating documents based on data, including path generation and modification.