# words checklist
segfault_memory:
   - segfault
   - memory leaks
# assignees
filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
      * For TF-GPU - See point 1
      * For TF-CPU - See point 2
   -----------------------------------------------------------------------------------------------
   

	}

	// Remove duplicate entries.
	trimStrings = uniqueEntries(trimStrings)

	// Add "github.com/minio/minio" as the last to cover
	// paths like "{GOROOT}/src/github.com/minio/minio"
	// and "{GOPATH}/src/github.com/minio/minio"
	trimStrings = append(trimStrings, filepath.Join("github.com", "minio", "minio")+string(filepath.Separator))
}

	tables := make(map[string]string)
	for _, table := range parts {
		// If table is not empty, get table name from the first line
		lines := strings.Split(strings.Trim(table, "\n"), "\n")
		lines = slices.Filter(lines, func(line string) bool {
			return line != "iptables-save" && line != "ip6tables-save"
		})

		if len(lines) >= 1 && strings.HasPrefix(lines[0], "* ") {
			tableName := lines[0][2:]

rtant;align-items:stretch!important}.align-content-start{-ms-flex-line-pack:start!important;align-content:flex-start!important}.align-content-end{-ms-flex-line-pack:end!important;align-content:flex-end!important}.align-content-center{-ms-flex-line-pack:center!important;align-content:center!important}.align-content-between{-ms-flex-line-pack:justify!important;align-content:space-between!important}.align-content-around{-ms-flex-line-pack:distribute!important;align-content:space-around!important}.a...

      </phases>
    </lifecycle>
  </lifecycles>
</configuration>

We need to turn this list of phases into a set of plugin objects that have an XML representation like the following:

<plugins>
  <plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-resources-plugin</artifactId>
    <executions>
      <execution>
        <goals>

     */
    public static final String FILE_ENCODING = System.getProperty("file.encoding");

    /**
     * <code>line.separator</code> システムプロパティ。例えばMac OS Xなら
     * <code>&quot;\n&quot;</code>
     */
    public static final String LINE_SEPARATOR = System.getProperty("line.separator");

    /**
     * <code>path.separator</code> システムプロパティ。例えばMac OS Xなら
     * <code>&quot;:&quot;</code>
     */

///

```Python hl_lines="9"
{!> ../../docs_src/header_params/tutorial003.py!}
```

////

If you communicate with that *path operation* sending two HTTP headers like:

```
X-Token: foo
X-Token: bar
```

The response would be like:

```JSON
{
    "X-Token values": [
        "bar",
        "foo"
    ]
}
```

## Recap

    val handshake = makeRequest(client)

    assertThat(handshake.cipherSuite).isIn(*expectedModernTls12CipherSuites.toTypedArray())

    // Probably something like
    // TLS_AES_128_GCM_SHA256
    // TLS_AES_256_GCM_SHA384
    // TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384
    // TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256
    // TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384

		Example: `  # Analyze the current live cluster
  istioctl analyze

  # Analyze the current live cluster for a specific revision
  istioctl analyze --revision 1-16

  # Analyze the current live cluster, simulating the effect of applying additional yaml files
  istioctl analyze a.yaml b.yaml my-app-config/

  # Analyze yaml files without connecting to a live cluster

## Pydantic Models for Input and Output

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input

If you use this model as an input like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}