}

	for i := 0; i < config.Toys; i++ {
		user.Toys = append(user.Toys, Toy{Name: name + "_toy_" + strconv.Itoa(i+1)})
	}

	for i := 0; i < config.Tools; i++ {
		user.Tools = append(user.Tools, Tools{Name: name + "_tool_" + strconv.Itoa(i+1)})
	}

	if config.Company {
		user.Company = Company{Name: "company-" + name}
	}

	if config.Manager {
		user.Manager = GetUser(name+"_manager", Config{})
	}

}

func benchmark(b *testing.B, data []string) {
	b.Run("concat naive", func(b *testing.B) {
		b.ResetTimer()
		b.ReportAllocs()
		for b.Loop() {
			concatNaive(data...)
		}
	})
	b.Run("concat fast", func(b *testing.B) {
		b.ResetTimer()
		b.ReportAllocs()
		for b.Loop() {
			concat(data...)
		}
	})
}

func BenchmarkConcatImplementation(b *testing.B) {
	data := make([]string, 2)

/**
 * Reads a stream of [RFC 2046][rfc_2046] multipart body parts. Callers read parts one-at-a-time
 * until [nextPart] returns null. After calling [nextPart] any preceding parts should not be read.
 *
 * Typical use loops over the parts in sequence:
 *
 * ```kotlin
 * val response: Response = call.execute()
 * val multipartReader = MultipartReader(response.body!!)
 *
 * multipartReader.use {
 *   while (true) {

		for j := range setDriveCount {
			newFormat := format.Clone()
			newFormat.Erasure.This = format.Erasure.Sets[i][j]
			formats[i*setDriveCount+j] = newFormat
		}
	}

	b.ReportAllocs()

	for b.Loop() {
		_, _ = getFormatErasureInQuorumOld(formats)
	}
}

func BenchmarkGetFormatErasureInQuorum(b *testing.B) {
	setCount := 200
	setDriveCount := 15

		{256},
		{512},
		{1024},
	}
	for _, testCase := range cases {
		key := randString(testCase.key)
		b.Run("", func(b *testing.B) {
			b.SetBytes(1024)
			b.ReportAllocs()
			b.ResetTimer()
			for b.Loop() {
				crcHashMod(key, 16)
			}
		})
	}
}

func BenchmarkSipHash(b *testing.B) {
	cases := []struct {
		key int
	}{
		{16},
		{64},
		{128},
		{256},
		{512},
		{1024},
	}

    //    second thread can then dispatch to the subscriber it took before the first thread does.
    //
    // All this makes me really wonder if there's any value in queueing here at all. A dispatcher
    // that simply loops through the subscribers and dispatches the event to each would actually
    // probably provide a stronger order guarantee, though that order would obviously be different
    // in some cases.

    /** Global event queue. */

		// will keep performing the callhome. If the leader goes down for some reason,
		// the lock will be released and another node will acquire it and take over
		// because of this loop.
		for {
			if !globalCallhomeConfig.Enabled() {
				return
			}

			if !runCallhome(ctx, objAPI) {
				// callhome was disabled or context was canceled
				return
			}

		b.ReportAllocs()
		b.ResetTimer()
		b.SetBytes(855) // number of versions...
		for b.Loop() {
			mergeXLV2Versions(8, false, 0, vers...)
		}
	})

	b.Run("requested-v1", func(b *testing.B) {
		b.ReportAllocs()
		b.ResetTimer()
		b.SetBytes(855) // number of versions...
		for b.Loop() {
			mergeXLV2Versions(8, false, 1, vers...)
		}
	})

	b.Run("requested-v2", func(b *testing.B) {

   *   <li>{@code ImmutableList.of(2, "C")}
   * </ul>
   *
   * <p>The result is guaranteed to be in the "traditional", lexicographical order for Cartesian
   * products that you would get from nesting for loops:
   *
   * {@snippet :
   * for (B b0 : lists.get(0)) {
   *   for (B b1 : lists.get(1)) {
   *     ...
   *     ImmutableList<B> tuple = ImmutableList.of(b0, b1, ...);
   *     // operate on tuple
   *   }

        assertEquals(initialReferral, appendedReferral.next,
                "The 'next' property of the appended referral should point back to the initial referral, closing the loop.");
    }

    /**
     * Tests the toString method of the DfsReferral class.
     * It verifies that the toString method returns a string representation of the object
     * that accurately reflects its properties.