Deploying a scikit-learn model with ONNX and FastAPI - author: Nils de Bruin author_link: https://medium.com/@nilsdebruin link: https://medium.com/data-rebels/fastapi-authentication-revisited-enabling-api-key-authentication-122dc5975680 title: 'FastAPI authentication revisited: Enabling API key authentication' - author: Nick Cortale author_link: https://nickc1.github.io/ link: https://nickc1.github.io/api,/scikit-learn/2019/01/10/scikit-fastapi.html title: 'FastAPI and Scikit-Learn: Easily Deploy...

 *
 */
public class UserInfoHelper {

    /**
     * Default constructor for UserInfoHelper.
     */
    public UserInfoHelper() {
        // Default constructor
    }

    /** The session attribute key for storing user bean information */
    protected static final String USER_BEAN = "lastaflute.action.USER_BEAN.FessUserBean";

    /** The maximum size of the result document IDs cache */

pkg os, func UserHomeDir() (string, error)
pkg os, method (*File) SyscallConn() (syscall.RawConn, error)
pkg os, method (*ProcessState) ExitCode() int
pkg os/exec, method (ExitError) ExitCode() int
pkg reflect, method (*MapIter) Key() Value
pkg reflect, method (*MapIter) Next() bool
pkg reflect, method (*MapIter) Value() Value
pkg reflect, method (Value) MapRange() *MapIter
pkg reflect, type MapIter struct

The first change is that now we are declaring the OAuth2 security scheme with two available scopes, `me` and `items`.

The `scopes` parameter receives a `dict` with each scope as a key and the description as the value:

{* ../../docs_src/security/tutorial005_an_py310.py hl[63:66] *}

Because we are now declaring those scopes, they will show up in the API docs when you log-in/authorize.

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```


/// info

`**second_user_data` 意思是:

將 `second_user_data` 字典直接作為 key-value 引數傳遞，等同於：`User(id=4, name="Mary", joined="2018-11-30")`

///

### 多種編輯器支援

整個框架的設計是為了讓使用變得簡單且直觀，在開始開發之前，所有決策都在多個編輯器上進行了測試，以確保提供最佳的開發體驗。

	desc, ok := m.descriptors[name]
	if !ok {
		panic(fmt.Sprintf("metric has no description: %s", name))
	}

	if len(labels)%2 != 0 {
		panic("labels must be a list of ordered key-value pairs")
	}

	validLabels := desc.getLabelSet()
	labelMap := make(map[string]string, len(labels)/2)
	for i := 0; i < len(labels); i += 2 {
		if _, ok := validLabels[labels[i]]; !ok {

 *
 * <p>Operations on this class make no guarantees about the ordering of elements with equal
 * priority. If you need to enforce an ordering, you can define custom classes or comparators that
 * use a secondary key to break ties in primary priority values. For example, here is a class that
 * applies first-in-first-out tie-breaking to comparable elements. To use it, you would insert a
 * {@code new FIFOEntry(anEntry)} instead of a plain entry object.

#### A Random Item { #a-random-item }

With `data.items()` we get an <abbr title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</abbr> with tuples containing the key and value for each dictionary item.

We convert this iterable object into a proper `list` with `list(data.items())`.

    ImmutableListMultimap.Builder<String, String> builder = ImmutableListMultimap.builder();
    for (Entry<String, String> entry : parameters.entries()) {
      String key = entry.getKey();
      if (!normalizedAttribute.equals(key)) {
        builder.put(key, entry.getValue());
      }
    }
    for (String value : values) {
      builder.put(normalizedAttribute, normalizeParameterValue(normalizedAttribute, value));
    }

    CacheLoader<Integer, Integer> loader =
        new CacheLoader<Integer, Integer>() {
          int i = 0;

          @Override
          public Integer load(Integer key) throws Exception {
            return i++;
          }
        };

    LoadingCache<Integer, Integer> cache = CacheBuilder.newBuilder().build(loader);

    cache.put(10, 20);