healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - pdata1-1:/pdata1
      - pdata1-2:/pdata2

  minio2:

}

// load the cache content with name from minioMetaBackgroundOpsBucket.
// Only backend errors are returned as errors.
// The loader is optimistic and has no locking, but tries 5 times before giving up.
// If the object is not found, a nil error with empty data usage cache is returned.
func (d *dataUsageCache) load(ctx context.Context, store objectIO, name string) error {

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

            try {
                mavenWrapperPropertyFileInputStream = new FileInputStream(mavenWrapperPropertyFile);
                Properties mavenWrapperProperties = new Properties();
                mavenWrapperProperties.load(mavenWrapperPropertyFileInputStream);
                url = mavenWrapperProperties.getProperty(PROPERTY_NAME_WRAPPER_URL, url);
            } catch (IOException e) {

        Thread.currentThread().interrupt() // Retain interrupted status.
      }
    }

    if (!::bytes.isInitialized) {
      // May have failed with an IOException
      throw IllegalStateException("Unable to load $path resource.").apply {
        initCause(readFailure)
      }
    }
  }

  abstract val path: Any

  /**
   * Reads the public suffix list treating the operation as uninterruptible. We always want to read

		tx.Statement.DB = tx
	}

	if config.Context != nil {
		tx.Statement.Context = config.Context
	}

	if config.PrepareStmt {
		var preparedStmt *PreparedStmtDB

		if v, ok := db.cacheStore.Load(preparedStmtDBKey); ok {
			preparedStmt = v.(*PreparedStmtDB)
		} else {
			preparedStmt = NewPreparedStmtDB(db.ConnPool, db.PrepareStmtMaxSize, db.PrepareStmtTTL)
			db.cacheStore.Store(preparedStmtDBKey, preparedStmt)

     * dependency injection is complete.
     */
    @PostConstruct
    public void register() {
        if (logger.isInfoEnabled()) {
            logger.info("Load {}", this.getClass().getSimpleName());
        }
        dictionaryManager.addCreator(this);
    }

    /**
     * Creates a new {@link SynonymFile} instance.
     *

        File pom0 = new File(localRepo, "p0/pom.xml");

        File pom0Basedir = pom0.getParentFile();

        File pom1 = new File(pom0Basedir, "p1/pom.xml");

        // load everything...
        MavenProject project0 = getProject(pom0);
        MavenProject project1 = getProject(pom1);

        assertEquals(pom0Basedir, project1.getParent().getBasedir());
    }

    MINIO_CI_CD: 1
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - data1-1:/data1
      - data1-2:/data2
      - data1-3:/data3

//
// floating point conditional branch
//
//	LBRA rel
label4:
	BFPT	1(PC)	// BFPT 1(PC)			// 4501000100000000
	BFPT	label4	// BFPT 24			// 4501fffd00000000

//inst:
//
// load ints and bytes
//
//	LMOVV rreg ',' rreg
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
	MOVV	R25, R17	// 00198825
	MOVV	R1, R2		// 00011025
	MOVV	LO, R1		// 00000812
	MOVV	HI, R1		// 00000810