This release introduces support for UUIDs version 6 to 15. It also extends uuid to allow specifying a single version or a set of versions.

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Faker is a well-known and powerful library for generating fake data. It provides a wide range of random but realistic-looking data generators. However, testing with purely random data can be risky, which is why property-based testing is valuable. While using fake but realistic data in tests can be beneficial, it is essential to integrate it properly. fast-check offers a robust solution for this integration.

This release introduces new arbitraries to enhance shrinking capabilities and deprecates the noShrink and noBias methods in favor of these new arbitraries.

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This release introduces new opt-in options for objects arbitraries such as anything, object, json and jsonValue. These options provide more elegant and shorter ways to produce objects with non-ASCII keys and values.

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This release introduces some new opt-in options on floating point number arbitraries such as float and double. They offer simpler ways to only produce non-integer numerical values.

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This release exposes additional details regarding the random generator passed to the property. It unlocks the ability to delegate random value generation in the workers in the context of @fast-check/worker.

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This release makes fc.pre safer in terms of typings. It leverages the "assertion function" capability offered by TypeScript. This version has also been focused on preparing the monorepo to move to ECMAScript modules to build itself and on making our documentation better.

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This release added support for the parameter depthIdentifier on dictionary.

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This release changes the way we import type-only files internally in fast-check. While it should not have any visible impact on our clients we preferred to make it a minor.

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On the 28^th of September 2023, a critical security vulnerability affecting all versions of Zod was reported under the identifier CVE-2023-4316. Zod is known as "TypeScript-first schema validation with static type inference".

This post proposes an approach to anticipate and prevent such vulnerabilities. by leveraging fast-check and its ecosystem.