* See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.slack;

import java.util.List;
import okhttp3.HttpUrl;

/** See https://api.slack.com/methods/rtm.start. */
public final class RtmStartResponse {
  HttpUrl url;
  Object self;
  Object team;
  List<Object> users;
  List<Object> channels;
  List<Object> groups;
  List<Object> mpims;

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

/**
 * Utilities for reflection. This package is a part of the open-source <a
 * href="https://github.com/google/guava">Guava</a> library.
 */
@CheckReturnValue
@ParametersAreNonnullByDefault
package com.google.common.reflect;

import com.google.errorprone.annotations.CheckReturnValue;

 * the License.
 */

/**
 * Escapers
 * for
 * XML.
 *
 * <p>This package is a part of the open-source <a href="https://github.com/google/guava">Guava</a>
 * library.
 */
@CheckReturnValue
@ParametersAreNonnullByDefault
package com.google.common.xml;

import com.google.errorprone.annotations.CheckReturnValue;

TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_tpu"
TFCI_LIB_SUFFIX="-tpu-linux-x86_64"
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_IMPORT_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=580M

Обратите внимание, что параметр пути объявлен целочисленным.

///

## Преимущества стандартизации, альтернативная документация

Поскольку сгенерированная схема соответствует стандарту <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md" class="external-link" target="_blank">OpenAPI</a>, её можно использовать со множеством совместимых инструментов.

at two levels. For distributing workload certificates, Envoy will send [SDS](https://www.envoyproxy.io/docs/envoy/latest/configuration/security/secret)
requests to the agent, causing the agent to submit a CSR to the configured CA (generally Istiod). For other configuration,
Envoy will send [ADS](https://www.envoyproxy.io/docs/envoy/latest/intro/arch_overview/operations/dynamic_configuration#aggregated-xds-ads)

例如，您可以有一个名为 `main.py` 的文件，其中包含以下内容：

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip

<a href="https://docs.python.org/3.8/library/os.html#os.getenv" class="external-link" target="_blank">`os.getenv()`</a> 的第二个参数是要返回的默认值。

如果没有提供默认值，默认为 `None`，此处我们提供了 `"World"` 作为要使用的默认值。

///

然后，您可以调用该 Python 程序：

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.1.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.1.0 https://maven.apache.org/xsd/maven-4.1.0.xsd">
    <modelVersion>4.1.0</modelVersion>

    <groupId>test</groupId>
    <artifactId>test</artifactId>
    <version>0.1-SNAPSHOT</version>

    <dependencyManagement>
        <dependencies>

Please make sure the following packages are already installed via `dnf` or `apt`: 

- `tuned`
- `curl`

### Install `tuned.conf` performance profile

#### Step 1 - download `tuned.conf` from the referenced link
```
wget https://raw.githubusercontent.com/minio/minio/master/docs/tuning/tuned.conf
```

#### Step 2 - install tuned.conf as supported performance profile on all nodes
```
sudo mkdir -p /usr/lib/tuned/minio/

        }
    ],
    "access_right": "open",
    "notes": "Specific TensorFlow versions can be found in the \"Versions\" list on the right side of this page.<br>See the full list of authors <a href=\"https://github.com/tensorflow/tensorflow/graphs/contributors\">on GitHub</a>."