Introduce a few errors on purpose

Author: pquentin

specification/ml/_types/Bucket.ts

@@ -18,7 +18,7 @@
  */
 
 import { Field, Id } from '@_types/common'
-import { double, long } from '@_types/Numeric'
+import { double } from '@_types/Numeric'
 import {
   DateTime,
   DurationValue,
@@ -35,27 +35,6 @@ export class BucketSummary {
    */
   anomaly_score: double
   bucket_influencers: BucketInfluencer[]
-  /**
-   * The length of the bucket in seconds. This value matches the bucket span that is specified in the job.
-   */
-  bucket_span: DurationValue<UnitSeconds>
-  /**
-   * The number of input data records processed in this bucket.
-   */
-  event_count: long
-  /**
-   * The maximum anomaly score for any of the bucket influencers. This is the initial value that was calculated at the
-   * time the bucket was processed.
-   */
-  initial_anomaly_score: double
-  /**
-   * If true, this is an interim result. In other words, the results are calculated based on partial input data.
-   */
-  is_interim: boolean
-  /**
-   * Identifier for the anomaly detection job.
-   */
-  job_id: Id
   /**
    * The amount of time, in milliseconds, that it took to analyze the bucket contents and calculate results.
    */
@@ -86,22 +65,6 @@ export class BucketInfluencer {
    * The length of the bucket in seconds. This value matches the bucket span that is specified in the job.
    */
   bucket_span: DurationValue<UnitSeconds>
-  /**
-   * The field name of the influencer.
-   */
-  influencer_field_name: Field
-  /**
-   * The score between 0-100 for each bucket influencer. This score is the initial value that was calculated at the
-   * time the bucket was processed. */
-  initial_anomaly_score: double
-  /**
-   * If true, this is an interim result. In other words, the results are calculated based on partial input data.
-   */
-  is_interim: boolean
-  /**
-   * Identifier for the anomaly detection job.
-   */
-  job_id: Id
   /**
    * The probability that the bucket has this behavior, in the range 0 to 1. This value can be held to a high precision
    * of over 300 decimal places, so the `anomaly_score` is provided as a human-readable and friendly interpretation of

specification/snapshot/get/SnapshotGetRequest.ts

@@ -74,26 +74,6 @@ export interface Request extends RequestBase {
      * @availability serverless
      */
     from_sort_value?: string
-    /**
-     * If `false`, the request returns an error for any snapshots that are unavailable.
-     * @server_default false
-     */
-    ignore_unavailable?: boolean
-    /**
-     * If `true`, the response includes additional information about each index in the snapshot comprising the number of shards in the index, the total size of the index in bytes, and the maximum number of segments per shard in the index.
-     * The default is `false`, meaning that this information is omitted.
-     * @server_default false
-     * @availability stack since=7.13.0
-     * @availability serverless
-     */
-    index_details?: boolean
-    /**
-     * If `true`, the response includes the name of each index in each snapshot.
-     * @server_default true
-     * @availability stack since=8.3.0
-     * @availability serverless
-     */
-    index_names?: boolean
     /**
      * If `true`, the response includes the repository name in each snapshot.
      * @server_default true
@@ -148,13 +128,6 @@ export interface Request extends RequestBase {
      * @availability serverless
      */
     sort?: SnapshotSort
-    /**
-     * Only return snapshots with a state found in the given comma-separated list of snapshot states.
-     * The default is all snapshot states.
-     * @availability stack since=9.1.0
-     * @availability serverless
-     */
-    state?: SnapshotState | SnapshotState[]
     /**
      * If `true`, returns additional information about each snapshot such as the version of Elasticsearch which took the snapshot, the start and end times of the snapshot, and the number of shards snapshotted.
      *