and decommissioning to provide a functionality that smaller deployments
  care about.

/*
 * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
 * or more contributor license agreements. Licensed under the Elastic License
 * 2.0 and the Server Side Public License, v 1; you may not use this file except
 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal.conventions;

import org.apache.tools.ant.taskdefs.condition.Os;

/*
 * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
 * or more contributor license agreements. Licensed under the Elastic License
 * 2.0 and the Server Side Public License, v 1; you may not use this file except
 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal

import org.elasticsearch.gradle.Architecture

        assertTrue("Class should be final", java.lang.reflect.Modifier.isFinal(WebApiUtil.class.getModifiers()));

        // 2. Should have exactly one private constructor
        Constructor<?>[] constructors = WebApiUtil.class.getDeclaredConstructors();
        assertEquals("Should have exactly one constructor", 1, constructors.length);
        assertTrue("Constructor should be private", java.lang.reflect.Modifier.isPrivate(constructors[0].getModifiers()));

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

class GenerateJsonSchema(_GenerateJsonSchema):
    # TODO: remove when this is merged (or equivalent): https://github.com/pydantic/pydantic/pull/12841
    # and dropping support for any version of Pydantic before that one (so, in a very long time)
    def bytes_schema(self, schema: CoreSchema) -> JsonSchemaValue:
        json_schema = {"type": "string", "contentMediaType": "application/octet-stream"}
        bytes_mode = (

  # Find all one-step dependencies of those tests which are from //tensorflow
  # (since external deps will come from Python-level pip dependencies),
  # excluding dependencies and files that are known to be unneccessary.

  /**
   * Returns a multimap view of the specified map. The multimap is backed by the map, so changes to
   * the map are reflected in the multimap, and vice versa. If the map is modified while an
   * iteration over one of the multimap's collection views is in progress (except through the
   * iterator's own {@code remove} operation, or through the {@code setValue} operation on a map

  /**
   * Returns a multimap view of the specified map. The multimap is backed by the map, so changes to
   * the map are reflected in the multimap, and vice versa. If the map is modified while an
   * iteration over one of the multimap's collection views is in progress (except through the
   * iterator's own {@code remove} operation, or through the {@code setValue} operation on a map

    @SuppressWarnings("SynchronizeOnNonFinalField")
    public T get() {
      // Another variant of Double Checked Locking.
      //
      // We use two volatile reads. We could reduce this to one by
      // putting our fields into a holder class, but (at least on x86)
      // the extra memory consumption and indirection are more
      // expensive than the extra volatile reads.
      long nanos = expirationNanos;