private val firSession: FirSession,
    ) {
        private val scopeSession = analysisSession.getScopeSessionFor(firSession)


        // TODO: This transformer is not intended for actual transformations and
        //  created here only to simplify access to SAM resolver in body resolve components
        private val stubBodyResolveTransformer = object : FirBodyResolveTransformer(
            session = firSession,

      writeUtf8CodePoint(codePoint)
    }
    i += Character.charCount(codePoint)
  }
}

/**
 * Returns a substring of `input` on the range `[pos..limit)` with the following
 * transformations:
 *
 *  * Tabs, newlines, form feeds and carriage returns are skipped.
 *
 *  * In queries, ' ' is encoded to '+' and '+' is encoded to "%2B".
 *
 *  * Characters in `encodeSet` are percent-encoded.
 *

    MavenExecutionRequest addPluginArtifactRepository(ArtifactRepository repository);

    /**
     * Set a new list of remote repositories to use the execution request. This is necessary if you perform
     * transformations on the remote repositories being used. For example if you replace existing repositories with
     * mirrors then it's easier to just replace the whole list with a new list of transformed repositories.
     *

  // CustomDeviceOpHandler.
  virtual Status RegisterCustomDevice(const string& name,
                                      std::unique_ptr<CustomDevice> device) = 0;

  // Return FunctionLibraryDefinition. Transformations need to use it to use it
  // to invoke MLIR compiler passes.
  virtual FunctionLibraryDefinition* FuncLibDef() = 0;

  // Resets the global rendezvous used for functions.

          "legendFormat": "{{ destination_workload }}.{{ destination_workload_namespace }}",
          "refId": "E"
        }
      ],
      "title": "HTTP/GRPC Workloads",
      "transformations": [
        {
          "id": "merge",
          "options": {
            "reducers": []
          }
        }
      ],
      "type": "table"
    },
    {

    // We need to test with two input futures since ExecutionList.execute
    // doesn't catch Errors and we cannot depend on the order that our
    // transformations run. (So it is possible that the Error being thrown
    // could prevent our second transformations from running).
    SettableFuture<Integer> exceptionInput = SettableFuture.create();
    ListenableFuture<Integer> exceptionComposedFuture =

    // We need to test with two input futures since ExecutionList.execute
    // doesn't catch Errors and we cannot depend on the order that our
    // transformations run. (So it is possible that the Error being thrown
    // could prevent our second transformations from running).
    SettableFuture<Integer> exceptionInput = SettableFuture.create();
    ListenableFuture<Integer> exceptionComposedFuture =

*   `tf.data`:

    *   Fixed a bug where setting `options.deterministic = False` would only
        modify one transformation to run non-deterministically, leaving other
        transformations deterministic. The option will now apply the same across
        all transformations.
    *   The optimization `parallel_batch` now becomes default if not disabled by
        users, which will parallelize copying of batch elements.

    assertThat(transformation.inverse().inverse()).isSameInstanceAs(transformation);
  }

  /**
   * Asserts that {@code transformation} behaves as expected for {@link
   * LinearTransformation#forNaN}.
   */
  static void assertLinearTransformationNaN(LinearTransformation transformation) {
    assertThat(transformation.isHorizontal()).isFalse();

   * vertical transformation (i.e. when {@link #isVertical()} is true).
   */
  public abstract double transform(double x);

  /**
   * Returns the inverse linear transformation. The inverse of a horizontal transformation is a
   * vertical transformation, and vice versa. The inverse of the {@link #forNaN} transformation is