mongez-reinforcements-random

You generate deterministic random values by calling a seed function with a fixed value before creating random integers, strings, or UUIDs, ensuring your TypeScript tests produce identical results across every run.

Seeded random data generation provides reproducible test fixtures by locking the random sequence, enabling developers to reliably debug failures by regenerating the exact same random inputs across different environments.

Yes, you can generate UUID and nanoid values reproducibly in TypeScript by enabling seeded mode, which forces the identifier generation methods to produce identical string outputs on every execution run.

Yes, the random data generator supports weighted picks and sampling through dedicated static methods, allowing you to select array elements or subsets with custom probability weights for data seeding.

For data seeding in TypeScript, you can create random primitives including integers, floats, and booleans, alongside extended types like dates, colors, strings, tokens, UUIDs, and nanoids.

Random values change between test runs because the generator lacks a fixed seed; activating seeded mode forces the random sequence to remain static and fully reproducible across all environments.