//       .Attr("T: type");
// that defines two inputs, "concat_dim" and "values" (in that order).
// You must use TF_AddInput() for the first input (since it takes a
// single tensor), and TF_AddInputList() for the second input (since
// it takes a list, even if you were to pass a list with a single
// tensor), as in:
//   TF_OperationDescription* desc = TF_NewOperation(graph, "Concat", "c");
//   TF_Output concat_dim_input = {...};

For example you could use it to add metadata for a frontend user interface, etc.

///

/// info

OpenAPI 3.1.0 (used since FastAPI 0.99.0) added support for `examples`, which is part of the **JSON Schema** standard.

| `minio_node_scanner_bucket_scans_started`  | Total number of bucket scans started since server start.    |
| `minio_node_scanner_directories_scanned`   | Total number of directories scanned since server start.     |
| `minio_node_scanner_objects_scanned`       | Total number of unique objects scanned since server start.  |

// 500 Internal Server Error.
type MetricsLoaderFn func(context.Context, MetricValues, *metricsCache) error

// JoinLoaders - joins multiple loaders into a single loader. The returned
// loader will call each of the given loaders in order. If any of the loaders
// return an error, the returned loader will return that error.
func JoinLoaders(loaders ...MetricsLoaderFn) MetricsLoaderFn {

            }
        }

        /*
         * NOTE: This is primarily to keep backward-compat with Maven 2.x which did not validate that dependencies are
         * unique within a single POM. Upon multiple declarations, 2.x just kept the last one but retained the order of
         * the first occurrence. So when we're in lenient/compat mode, we have to deal with such broken POMs and mimic

An architecture module is responsible for providing a coherent set of features and:

- Provides a set of APIs and services for use from outside the module.
- Has a private implementation.
- Is owned by a single team. A team may own multiple architecture modules.

The modules are arranged into several different "Gradle platforms".
A Gradle platform is a logical distribution that provides support for a specific kind of automation.

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import jcifs.CIFSException;


/**
 * JAAS kerberos authenticator
 * 
 * Either configure JAAS for credential caching or reuse a single instance of this authenticator -otherwise you won't
 * get proper ticket caching.
 * 
 * Be advised that short/NetBIOS name usage is not supported with this authenticator. Always specify full FQDNs/Realm.

`tf` instead of `tensorflow`, following the common practice of importing
TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually

   * with this ThreadFactory.
   *
   * @param nameFormat a {@link String#format(String, Object...)}-compatible format String, to which
   *     a unique integer (0, 1, etc.) will be supplied as the single parameter. This integer will
   *     be unique to the built instance of the ThreadFactory and will be assigned sequentially. For
   *     example, {@code "rpc-pool-%d"} will generate thread names like {@code "rpc-pool-0"}, {@code

 *
 * <p>Elements of a multiset that are equal to one another are referred to as <i>occurrences</i> of
 * the same single element. The total number of occurrences of an element in a multiset is called
 * the <i>count</i> of that element (the terms "frequency" and "multiplicity" are equivalent, but
 * not used in this API). Since the count of an element is represented as an {@code int}, a multiset