description: The Maglev load balancer implements
                                    consistent hashing to backend hosts.
                                  properties:
                                    tableSize:
                                      description: The table size for Maglev hashing.
                                      minimum: 0
                                      type: integer

                                  description: The Maglev load balancer implements
                                    consistent hashing to backend hosts.
                                  properties:
                                    tableSize:
                                      description: The table size for Maglev hashing.
                                      minimum: 0
                                      type: integer

Guava is a set of core Java libraries from Google that includes new collection
types (such as multimap and multiset), immutable collections, a graph library,
and utilities for concurrency, I/O, hashing, primitives, strings, and more! It
is widely used on most Java projects within Google, and widely used by many
other companies as well.



Guava comes in two flavors:

					"testing-jvm",
					"worker-processes",
					"files",
					"java-language-extensions",
					"build-cache-packaging",
					"build-operations",
					"precondition-tester",
					"tooling-api-builders",
					"hashing",
					"base-services-groovy",
					"kotlin-dsl-provider-plugins"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"plugin-use",

		// time when fresh disks were supplied, it is a two dimensional
		// array second dimension represents list of disks used per set.
		Sets [][]string `json:"sets"`
		// Distribution algorithm represents the hashing algorithm
		// to pick the right set index for an object.
		DistributionAlgo string `json:"distributionAlgo"`
	} `json:"xl"`
}

    int hashCode = 0;
    int uniques = 0;
    for (int i = 0; i < n; i++) {
      Object element = checkElementNotNull(elements[i], i);
      int hash = element.hashCode();
      for (int j = Hashing.smear(hash); ; j++) {
        int index = j & mask;
        Object value = table[index];
        if (value == null) {
          // Came to an empty slot. Put the element here.
          elements[uniques++] = element;

platforms/core-execution/build-cache-packaging/             @gradle/bt-execution @gradle/bt-dv-build-cache
platforms/core-execution/build-cache-spi/                   @gradle/bt-execution @gradle/bt-dv-build-cache
platforms/core-execution/hashing/                           @gradle/bt-execution @gradle/bt-dv-build-cache
platforms/core-execution/snapshots/                         @gradle/bt-execution @gradle/bt-dv-build-cache

# Develocity integration

    "name": "functional",
    "path": "platforms/core-runtime/functional",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "hashing",
    "path": "platforms/core-execution/hashing",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "ide",
    "path": "platforms/ide/ide",
    "unitTests": true,

        multi-hot, or tf-idf encoded representations
    *   `CategoryCrossing`: create new categorical features representing
        co-occurrences of previous categorical feature values
    *   `Hashing`: the hashing trick, for large-vocabulary categorical features
    *   `Discretization`: turn continuous numerical features into categorical
        features by binning their values

* 🌐 Add Chinese translation for Tutorial - Debugging. PR [#2737](https://github.com/tiangolo/fastapi/pull/2737) by [@blt232018](https://github.com/blt232018).
* 🌐 Add Chinese translation for Tutorial - Security - OAuth2 with Password (and hashing), Bearer with JWT tokens. PR [#2642](https://github.com/tiangolo/fastapi/pull/2642) by [@waynerv](https://github.com/waynerv).