RUN C:\tools\msys64\usr\bin\bash.exe -lc \
  'pacman --noconfirm -Syy curl git patch vim unzip zip'

# Install multiple Pythons, but only add one of them to PATH.
RUN function Install-Python { \
        param( \
            [string]$version, \
            [int]$prependPath \
        ) \
        $url = ('https://www.python.org/ftp/python/{0}/python-{0}-amd64.exe' -f $version); \
        Write-Host ('Downloading {0}...' -f $url); \

}

// Key returns the key.
func (h dataUsageHash) Key() string {
	return string(h)
}

func (d *dataUsageCache) flattenChildrens(root dataUsageEntry) (m map[string]dataUsageEntry) {
	m = make(map[string]dataUsageEntry)
	for id := range root.Children {
		e := d.Cache[id]
		if len(e.Children) > 0 {
			e = d.flatten(e)
		}
		m[id] = e
	}
	return m
}

public static final String USE_WITNESS = "jcifs.smb.client.useWitness";
public static final String WITNESS_HEARTBEAT_TIMEOUT = "jcifs.smb.client.witnessHeartbeatTimeout";
public static final String WITNESS_REGISTRATION_TIMEOUT = "jcifs.smb.client.witnessRegistrationTimeout";
public static final String WITNESS_RECONNECT_DELAY = "jcifs.smb.client.witnessReconnectDelay";

## Use one HTTP operation per function

Don't mix HTTP operations in a single function, having one function per HTTP operation helps separate concerns and organize the code.

Do this:

```python
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

////

## Quotes in code snippets { #quotes-in-code-snippets }

//// tab | Test

`pip install "foo[bar]"`

Examples for string literals in code snippets: `"this"`, `'that'`.

A difficult example for string literals in code snippets: `f"I like {'oranges' if orange else "apples"}"`

Readme.md would be the same file on Windows. In this test, you would get a
warning for "readme.md" because it makes everything lowercase. There are
repeats of these filename(s) with different casing:
EOF
    find . | tr '[A-Z]' '[a-z]' | sort | uniq -d | tee $BATS_FILE_TMPDIR/repeats
    [[ ! -s $BATS_FILE_TMPDIR/repeats ]]
}

# It's unclear why, but running this on //tensorflow/... is faster than running

     * @param failureReason the reason for failure
     * @param history the conversation history
     * @return a new query string
     * @throws LlmException if LLM is not available
     */
    public String regenerateQuery(final String userMessage, final String failedQuery, final String failureReason,
            final List<LlmMessage> history) {
        if (logger.isDebugEnabled()) {

 */
public final class SmbSession {

    private static final String LOGON_SHARE = Config.getProperty("jcifs.smb1.smb.client.logonShare", null);
    private static final int LOOKUP_RESP_LIMIT = Config.getInt("jcifs.smb1.netbios.lookupRespLimit", 3);
    private static final String DOMAIN = Config.getProperty("jcifs.smb1.smb.client.domain", null);
    private static final String USERNAME = Config.getProperty("jcifs.smb1.smb.client.username", null);

        }
      }
    }
  }

  /**
   * Returns a string representation for this CacheBuilder instance. The exact form of the returned
   * string is not specified.
   */
  @Override
  public String toString() {
    MoreObjects.ToStringHelper s = MoreObjects.toStringHelper(this);
    if (initialCapacity != UNSET_INT) {

     * @return cluster name or null
     */
    private String getClusterName(InetAddress serverAddress) {
        // Simple implementation - could be enhanced with proper cluster discovery
        String hostname = serverAddress.getHostName();
        if (hostname != null && hostname.contains(".")) {
            // Extract potential cluster name from hostname
            String[] parts = hostname.split("\\.");