* They are not synced with the code to reflect the eventual solution that is committed
* Google Docs is not a "code-oriented" tool, like Markdown can be
* Review in Google Docs is not as simple as a PR code review in GitHub

## Decision

The *Build Tool Team* has decided to use Architectural Decision Records (aka ADR) to track decisions we want to follow.

 *
 * @since 4.0.0
 */
@Experimental
public interface UpgradeOptions extends Options {
    /**
     * Returns the list of upgrade goals to be executed.
     * These goals can include operations like "check", "dependencies", "plugins", etc.
     *
     * @return an {@link Optional} containing the list of goals, or empty if not specified
     */
    @Nonnull
    Optional<List<String>> goals();

    /**

    response = client.get("/items/?q=five&q=six")
    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["query", "q", 0],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "five",
            },
            {

    id: gopls-version
    attributes:
      label: "gopls version"
      description: "Output of `gopls -v version` on the command line"
    validations:
      required: true
  - type: textarea
    id: go-env
    attributes:
      label: "go env"
      description: "Output of `go env` on the command line in your workspace directory"
      render: shell
    validations:
      required: true
  - type: textarea

</ul>
<p>
Some memory operations are <i>read-like</i>, including read, atomic read, mutex lock, and channel receive.
Other memory operations are <i>write-like</i>, including write, atomic write, mutex unlock, channel send, and channel close.
Some, such as atomic compare-and-swap, are both read-like and write-like.
</p>

<p>

        }
        return hash;
    }

    /**
     * Appends line numbers to each line of content with a given prefix.
     * Useful for debugging and displaying content with line references.
     *
     * @param prefix the prefix to add before each line number
     * @param content the content to add line numbers to
     * @return the content with line numbers prepended, or empty string if content is blank
     */

{* ../../docs_src/generate_clients/tutorial004_py310.py *}

//// tab | Node.js

```Javascript
{!> ../../docs_src/generate_clients/tutorial004.js!}
```

////

            }
            try (BufferedReader br = new BufferedReader(new InputStreamReader(is))) {
                String line;
                while ((line = br.readLine()) != null) {
                    sb.append(line);
                }
            }
        }

        String result = sb.toString();
        for (final Map.Entry<String, String> entry : substitutions.entrySet()) {

## Pydantic Models for Input and Output { #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 { #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] *}

# 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
   -----------------------------------------------------------------------------------------------