write_to_bazelrc('build --define=with_xla_support=%s' %
                     ('true' if int(with_xla_support) else 'false'))

  set_action_env_var(
      environ_cp, 'TF_NEED_ROCM', 'ROCm', False, bazel_config_name='rocm')
  if (environ_cp.get('TF_NEED_ROCM') == '1' and
      'LD_LIBRARY_PATH' in environ_cp and
      environ_cp.get('LD_LIBRARY_PATH') != '1'):
    write_action_env_to_bazelrc('LD_LIBRARY_PATH',

#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)
#     mkl:          Enable full mkl support.
#     nogcp:        Disable GCS support.
#     nonccl:       Disable nccl support.
#
#

    [CVE-2020-15358](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15358).
*   Removes `scipy` dependency from `setup.py` since TensorFlow does not need it
    to install the pip package
*   Switches ROCM builds to use ROCM 3.7

# Release 2.0.3

## Bug Fixes and Other Changes

*   Fixes an undefined behavior causing a segfault in `tf.raw_ops.Switch`

import jcifs.internal.smb2.rdma.RdmaMemoryRegion;
import jcifs.internal.smb2.rdma.RdmaProvider;

/**
 * DiSNI RDMA provider for InfiniBand/RoCE networks.
 *
 * This provider uses the DiSNI (Direct Storage and Networking Interface)
 * library to provide high-performance RDMA operations over InfiniBand
 * and RoCE (RDMA over Converged Ethernet) networks.
 */
public class DisniRdmaProvider implements RdmaProvider {

    /**

import java.nio.ByteBuffer;
import java.util.EnumSet;
import java.util.Set;

/**
 * Interface for RDMA provider implementations.
 *
 * This interface abstracts different RDMA implementations such as
 * InfiniBand, iWARP, RoCE, or TCP fallback providers.
 */
public interface RdmaProvider {

    /**
     * Check if RDMA is available on this system
     *
     * @return true if RDMA can be used, false otherwise
     */

👉 🔜 ⛓ 👈 **FastAPI** 🔜 ⌛ 💪 🎏:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

🔄, 🤸 👈 📄, ⏮️ **FastAPI** 👆 🤚:

* 👨‍🎨 🐕‍🦺 (🛠️, ♒️), 🐦 🏷

Це означатиме, що  **FastAPI**  очікуватиме тіло запиту такого вигляду:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

Завдяки такій декларації у **FastAPI** Ви отримуєте:

Isso significa que o **FastAPI** vai esperar um corpo similar à:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

Novamente, apenas fazendo essa declaração, com o **FastAPI**, você ganha:

   * of the queue is evicted to make room.
   *
   * @return {@code true} always
   */
  @Override
  @CanIgnoreReturnValue
  public boolean offer(E e) {
    return add(e);
  }

  /**
   * Adds the given element to this queue. If the queue is currently full, the element at the head
   * of the queue is evicted to make room.
   *
   * @return {@code true} always
   */
  @Override

This would mean that **FastAPI** would expect a body similar to:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

Again, doing just that declaration, with **FastAPI** you get: