]
          },
          "unit": "short"
        },
        "overrides": [
          {
            "matcher": {
              "id": "byName",
              "options": "Replication Errors"
            },
            "properties": [
              {
                "id": "color",
                "value": {
                  "fixedColor": "light-red",
                  "mode": "fixed"

            if (logger.isDebugEnabled()) {
                logger.debug("Failed to process a scroll request.", e);
            }
            writeJsonResponse(HttpServletResponse.SC_INTERNAL_SERVER_ERROR, e);
        }

    }

    protected void processPingRequest(final HttpServletRequest request, final HttpServletResponse response, final FilterChain chain) {
        if (!acceptHttpMethod(request, GET)) {

    replaceWith = ReplaceWith(expression = "toUrl()"),
    level = DeprecationLevel.ERROR,
  )
  fun url(): URL = toUrl()

  @JvmName("-deprecated_uri")
  @Deprecated(
    message = "moved to toUri()",
    replaceWith = ReplaceWith(expression = "toUri()"),
    level = DeprecationLevel.ERROR,
  )
  fun uri(): URI = toUri()

  @JvmName("-deprecated_scheme")
  @Deprecated(

//   and these structs are allocated/deallocated via the API.
// * TF_Status holds error information.  It is an object type
//   and therefore is passed around as a pointer to an opaque
//   struct as mentioned above.
// * Every call that has a TF_Status* argument clears it on success
//   and fills it with error info on failure.
// * unsigned char is used for booleans (instead of the 'bool' type).

                                    e.getModelId(), e.getMessage(), pomFile != null ? pomFile.toFile() : null, e);
                        }
                        // validation error, continue project building and delay failing to help IDEs
                        error = e;
                    }

                    modelProblems = result.getProblems();

                    initProject(project, Collections.emptyMap(), result);

                } catch (XmlReaderException ne) {
                    // still unreadable even in non-strict mode, rethrow original error
                    throw e;
                }

                Severity severity = request.isProjectBuild() ? Severity.ERROR : Severity.WARNING;
                problems.add(
                        severity,
                        ModelProblem.Version.V20,

  TFE_DeleteContext(ctx);
  TF_DeleteStatus(status);
}
TEST(CAPI, Execute_MatMul_CPU_Runtime_Error) {
  Execute_MatMul_CPU_Runtime_Error(false);
}
TEST(CAPI, Execute_MatMul_CPU_Runtime_ErrorAsync) {
  Execute_MatMul_CPU_Runtime_Error(true);
}

void Execute_MatMul_CPU_Type_Error(bool async) {
  TF_Status* status = TF_NewStatus();
  TFE_ContextOptions* opts = TFE_NewContextOptions();

   * decade that assumes that they can use checkNotNull for non-precondition checks. I had hoped to
   * take a principled stand on this, but the amount of such code is simply overwhelming. To avoid
   * creating a lot of compile errors that users would not find to be informative, we're giving in
   * and allowing callers to pass arguments that a nullness checker believes could be null.
   *

    peer.sendFrame().settings(Settings())
    peer.acceptFrame() // ACK
    peer.acceptFrame() // SYN_STREAM 3
    peer.acceptFrame() // SYN_STREAM 5
    peer.sendFrame().goAway(3, ErrorCode.PROTOCOL_ERROR, EMPTY_BYTE_ARRAY)
    peer.acceptFrame() // PING
    peer.sendFrame().ping(true, Http2Connection.AWAIT_PING, 0)
    peer.acceptFrame() // DATA STREAM 3
    peer.play()

    // Play it back.

import org.jetbrains.kotlin.analysis.low.level.api.fir.resolver.AllCandidatesResolver
import org.jetbrains.kotlin.analysis.low.level.api.fir.util.errorWithFirSpecificEntries
import org.jetbrains.kotlin.analysis.utils.errors.withPsiEntry
import org.jetbrains.kotlin.analysis.utils.printer.parentOfType
import org.jetbrains.kotlin.fir.FirElement
import org.jetbrains.kotlin.fir.analysis.checkers.toRegularClassSymbol