LinearTransformation result = inverse;
      return (result == null) ? inverse = createInverse() : result;
    }

    @Override
    public String toString() {
      return String.format("y = %g * x + %g", slope, yIntercept);
    }

    private LinearTransformation createInverse() {
      if (slope != 0.0) {
        return new RegularLinearTransformation(1.0 / slope, -1.0 * yIntercept / slope, this);

	}

	req, err := http.NewRequest(http.MethodPost, target.args.Endpoint.String(), bytes.NewReader(data))
	if err != nil {
		return err
	}

	// Verify if the authToken already contains
	// <Key> <Token> like format, if this is
	// already present we can blindly use the
	// authToken as is instead of adding 'Bearer'
	tokens := strings.Fields(target.args.AuthToken)
	switch len(tokens) {
	case 2:

		return err
	}

	s[config.NotifyESSubSys][esName] = config.KVS{
		config.KV{
			Key:   config.Enable,
			Value: config.EnableOn,
		},
		config.KV{
			Key:   target.ElasticFormat,
			Value: cfg.Format,
		},
		config.KV{
			Key:   target.ElasticURL,
			Value: cfg.URL.String(),
		},
		config.KV{
			Key:   target.ElasticIndex,
			Value: cfg.Index,
		},
		config.KV{

        uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1

      - name: Check whether the citation metadata from CITATION.cff is valid
        uses: citation-file-format/cffconvert-github-action@4cf11baa70a673bfdf9dad0acc7ee33b3f4b6084 # v2.0.0
        with:

          set -euo pipefail
          set +x
          VAULT_TOKEN=$(vault write -field=token auth/approle/login role_id=$VAULT_ROLE_ID secret_id=$VAULT_SECRET_ID)
          export VAULT_TOKEN
          export data=$(vault read -format=json secret/elasticsearch-ci/azure_thirdparty_test_creds)
          export azure_storage_account=$(echo $data | jq -r .data.account_id)
          export azure_storage_key=$(echo $data | jq -r .data.account_key)

#include <list>
#include <set>
#include <string>
#include <unordered_map>
#include <vector>

#include "tensorflow/c/c_api.h"

// clang-format off
// Required for IS_MOBILE_PLATFORM
#include "tensorflow/core/platform/platform.h"
// clang-format on

#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/c/tf_tensor_internal.h"
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

                if (log.isDebugEnabled()) {
                    log.debug(String.format("Referral for %s: %s", p, dr));
                }

                return dr.unwrap(DfsReferralDataInternal.class);
            }
        } catch (final IOException ioe) {
            if (log.isDebugEnabled()) {
                log.debug(String.format("Getting referral for %s failed", p), ioe);
            }

            this.type = guessAuthenticationType();
        } else {
            this.type = type;
        }
    }

    /**
     * Guess the authentication type based on the username format
     *
     * @return the guessed authentication type
     */
    protected AuthenticationType guessAuthenticationType() {
        AuthenticationType t = AuthenticationType.USER;

    }

    @Test
    @DisplayName("getErrorString for name service error with known code")
    void testNameServiceKnown() {
        String expected = "ERR_NAM_SRVC/FMT_ERR: Format ErrorUnknown error code: 1";
        assertEquals(expected, NbtException.getErrorString(NbtException.ERR_NAM_SRVC, NbtException.FMT_ERR));
    }

    @Test

    }

    @Test
    public void test_multipleNestedExceptions() {
        // Test with multiple nested exceptions
        Exception innerCause = new IllegalArgumentException("Invalid image format");
        Exception middleCause = new RuntimeException("Processing failed", innerCause);
        ThumbnailGenerationException exception = new ThumbnailGenerationException("Thumbnail generation error", middleCause);