test: Add synthetic location dataset for proximity testing

[KrishanYadav333]

Summary

Extends the test data with a comprehensive synthetic location dataset for the location-proximity module.

Changes

• Added 14 diverse locations to tests/data/locations.json (total: 23 locations)
• Includes restaurants, schools, museums, cafes, library, theater, gym, pharmacy, bank
• Each location has coordinates, type, language, cultural tags, and description
• Provides robust test coverage for multi-dimensional proximity calculations

Purpose

This dataset enables thorough testing of the location-proximity algorithms with varied place types and attributes, ensuring the module works correctly across different scenarios.

[gemini-code-assist]

Summary of Changes

Hello @KrishanYadav333, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a comprehensive synthetic location dataset to enhance the testing capabilities of the location-proximity module. By expanding the existing test data with a variety of new location types and detailed attributes, the change aims to ensure the module's algorithms function robustly and accurately across diverse real-world scenarios, improving the overall reliability of proximity calculations.

Highlights

• Expanded Test Data: The pull request significantly extends the synthetic location dataset used for testing the location-proximity module.
• Diverse Location Types: 14 new diverse locations have been added to tests/data/locations.json, bringing the total to 23. These new entries include restaurants, schools, museums, cafes, a library, a theater, a gym, a pharmacy, and a bank.
• Detailed Location Attributes: Each new location entry is comprehensive, featuring coordinates, type, language, cultural tags, and a descriptive summary, ensuring robust test coverage for multi-dimensional proximity calculations.

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[gemini-code-assist]

Code Review

This pull request significantly enhances the test dataset for the location-proximity module by adding 14 diverse synthetic locations to tests/data/locations.json. The new data is well-structured and covers a variety of place types, which will be very useful for testing multi-dimensional proximity calculations. The changes are excellent. I have one minor suggestion regarding file formatting conventions.

[KrishanYadav333]

@pradeeban can you please review this pr and provide feedback?