<p>A Toolchain is a preconfigured object that Maven plugins can use for tool configuration retrieval (location and other information).
    <p>The <a href="/plugins/maven-toolchains-plugin/">toolchains-plugin</a> can read available toolchains on the user's computer
    and match them against the toolchain requirements of the project (as configured in {@code pom.xml}):

# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code

import jcifs.ntlmssp.Type2Message;
import jcifs.ntlmssp.Type3Message;
import jcifs.smb.NtlmPasswordAuthentication;

/**
 * Wraps an <code>HttpURLConnection</code> to provide NTLM authentication
 * services.
 *
 * Please read <a href="../../../httpclient.html">Using jCIFS NTLM Authentication for HTTP Connections</a>.
 *
 * Warning: Do not use this if there is a chance that you might have multiple connections (even plain

    }
    
    // Simulate network disconnection
    file.getTree().getSession().getTransport().disconnect();
    
    // Try to read - should trigger reconnection
    try (InputStream is = file.getInputStream()) {
        byte[] buffer = new byte[9];
        is.read(buffer);
        assertEquals("test data", new String(buffer));
    }
}

@Test

		ptr := globalDeploymentIDPtr.Load()
		if ptr == nil {
			return ""
		}
		return *ptr
	}

	globalAllHealState = newHealState(GlobalContext, true)

	// The always present healing routine ready to heal objects
	globalBackgroundHealRoutine = newHealRoutine()
	globalBackgroundHealState   = newHealState(GlobalContext, false)

	globalMRFState = newMRFState()

	// If writes to FS backend should be O_SYNC.

        int maxCount = buf.dec_ndr_long();
        int offset = buf.dec_ndr_long();
        int actualCount = buf.dec_ndr_long();

        if (actualCount <= 0) {
            return "";
        }

        // Read wide string data (UTF-16LE)
        int byteCount = (actualCount - 1) * 2; // Exclude null terminator
        byte[] wideBytes = new byte[byteCount];
        buf.readOctetArray(wideBytes, 0, byteCount);

                    logger.debug("BOM: {}", bomIn.getBOMCharsetName());
                }
                return bomIn.getBOMCharsetName();
            }
            final int c = bomIn.read(b);

            if (c == -1) {
                return encoding;
            }

            final String head = new String(b, 0, c, encoding);
            if (StringUtil.isBlank(head)) {

        /** Maximum number of lines to buffer. */
        private final int maxLineBuffer;

        /**
         * Constructor for InputStreamThread.
         * @param is The input stream to read from.
         * @param charset The character encoding to use.
         * @param maxOutputLineBuffer The maximum number of lines to buffer.
         */

        }
      }

      /**
       * Returns an input stream containing one or more certificate PEM files. This implementation just
       * embeds the PEM files in Java strings; most applications will instead read this from a resource
       * file that gets bundled with the application.
       */
      private fun trustedCertificatesInputStream(): InputStream {
        ... // Full source omitted. See sample.
      }

Un **context manager** en Python es algo que puedes usar en una declaración `with`, por ejemplo, `open()` puede ser usado como un context manager:

```Python
with open("file.txt") as file:
    file.read()
```

En versiones recientes de Python, también hay un **async context manager**. Lo usarías con `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```