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    • Randomly samples a specified number of unique elements from an array.

      Selects random elements from the input array without replacement, ensuring all returned elements are unique. The sample size is automatically capped at the array length to prevent errors. Uses a Set-based approach to guarantee uniqueness of selected indices. Ideal for creating test datasets or selecting random subsets for validation.

      Type Parameters

      • T

      Parameters

      • array: T[]

        The source array to sample from

      • count: number

        The number of elements to sample

      Returns T[]

      An array containing the randomly selected elements

        const numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];

      RandomGenerator.sample(numbers, 3); // e.g. [2, 7, 9]
      RandomGenerator.sample(numbers, 5); // e.g. [1, 4, 6, 8, 10]
      RandomGenerator.sample(numbers, 15); // returns all 10 elements (capped at array length)

      // Sample users for testing
      const allUsers = await getUsersFromDatabase();
      const testUsers = RandomGenerator.sample(allUsers, 10);

      // Create random product selections
      const featuredProducts = RandomGenerator.sample(allProducts, 5);

      // Generate test data subsets
      const validationSet = RandomGenerator.sample(trainingData, 100);

      // Random A/B testing groups
      const groupA = RandomGenerator.sample(allParticipants, 50);
      const remaining = allParticipants.filter(p => !groupA.includes(p));
      const groupB = RandomGenerator.sample(remaining, 50);