return DEFAULT_CURRENT_PAGE_NUMBER;
    }

    /**
     * Gets the total number of records across all pages.
     *
     * @return the total record count
     */
    public int getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Sets the total number of records across all pages.
     *
     * @param allRecordCount the total record count
     */

        return DEFAULT_CURRENT_PAGE_NUMBER;
    }

    /**
     * Gets the total number of records across all pages.
     *
     * @return the total record count
     */
    public int getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Sets the total number of records across all pages.
     *
     * @param allRecordCount the total record count
     */

## Features

- A pool in decommission still allows READ access to all its contents, newer WRITEs will automatically be scheduled to only pools not in decommission status.

```
minio server /mnt/controller{1...4}/data{1...16}
```

Standalone erasure coded configuration with 16 sets, 16 drives per set, across mounts and controllers.

```
minio server /mnt{1...4}/controller{1...4}/data{1...16}
```

Distributed erasure coded configuration with 2 sets, 16 drives per set across hosts.

```

        But Guava aims to provide functionality that is useful across boundaries of projects,
        companies, or even industries — utilities useful for a sizable proportion of all Java
        programmers everywhere. If you can give enough detail such that any of us can imagine coming
        across a similar need in our own work, that's extremely helpful in studying how broadly

/**
 * One or more variables that together maintain an initially zero {@code long} sum. When updates
 * (method {@link #add}) are contended across threads, the set of variables may grow dynamically to
 * reduce contention. Method {@link #sum} (or, equivalently, {@link #longValue}) returns the current
 * total combined across the variables maintaining the sum.
 *
 * <p>This class is usually preferable to {@link AtomicLong} when multiple threads update a common

system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas...

    }

    /**
     * Gets the total number of records available across all pages.
     *
     * @return the total record count
     */
    public int getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Sets the total number of records available across all pages.
     *
     * @param allRecordCount the total record count to set
     */

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hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML