// 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 =

                requestData.setUrl(replaceDuplicateHost(url));
            }
        }
        return urlList;
    }

    /**
     * Gets the path mapping helper for URL transformations.
     *
     * @return the path mapping helper instance
     */
    protected PathMappingHelper getPathMappingHelper() {
        return ComponentUtil.getPathMappingHelper();
    }

    /**

*   `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();

    String ROLE = ArtifactTransformationManager.class.getName();

    /**
     * Take in an artifact and return the transformed artifact for locating in the remote repository. If no
     * transformation has occurred the original artifact is returned.
     *
     * @param artifact           Artifact to be transformed.
     * @param request the repositories to check
     */

        engineReset();
        return result;
    }

    // own methods
    //...........................................................................

    /**
     *    MD4 basic transformation.
     *    <p>
     *    Transforms context based on 512 bits from input block starting
     *    from the offset'th byte.
     *
     *    @param    block    input sub-array.

    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

    LinearTransformation transformation = LinearTransformation.mapping(x1, y1).withSlope(slope);
    assertThat(transformation.isVertical()).isFalse();
    assertThat(transformation.isHorizontal()).isFalse();
    assertThat(transformation.slope()).isWithin(ALLOWED_ERROR).of(slope);
    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

    LinearTransformation transformation = LinearTransformation.mapping(x1, y1).withSlope(slope);
    assertThat(transformation.isVertical()).isFalse();
    assertThat(transformation.isHorizontal()).isFalse();
    assertThat(transformation.slope()).isWithin(ALLOWED_ERROR).of(slope);
    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }