}
            }
        });
    }

    protected String getParamValue(final DataStoreParams paramMap, final String key, final String defaultValue) {
        return paramMap.getAsString(key, defaultValue);
    }

    protected void addDocument(final DataStoreParams paramMap, final Map<String, Object> dataMap) {

        MAX_SIZE,
        new Receiver<ReferenceEntry<Integer, Integer>>() {
          @Override
          public void accept(ReferenceEntry<Integer, Integer> entry) {
            Integer key = entry.getKey();
            cache.invalidate(key);
          }
        });
  }

  public void testEviction_lru() {
    // test lru within a single segment
    IdentityLoader<Integer> loader = identityLoader();

			pkFieldName = db.Statement.Schema.PrioritizedPrimaryField.DBName
		}

		// append @id column with value for auto-increment primary key
		// the @id value is correct, when: 1. without setting auto-increment primary key, 2. database AutoIncrementIncrement = 1
		switch values := db.Statement.Dest.(type) {
		case map[string]interface{}:
			values[pkFieldName] = insertID
		case *map[string]interface{}:

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

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

/// info

`**second_user_data` şu anlama geliyor:

Key-Value çiftini direkt olarak  `second_user_data` dictionarysine kaydet , yaptığın şey buna eşit olacak: `User(id=4, name="Mary", joined="2018-11-30")`

///

### Editor desteği

        NullPointerException.class,
        () -> ImmutableBiMap.ofEntries((Entry<Integer, Integer>) nullValue));
  }

  private static <T extends @Nullable Object> Entry<T, T> entry(T key, T value) {
    return new AbstractMap.SimpleImmutableEntry<>(key, value);
  }

  public void testCopyOfEmptyMap() {
    ImmutableBiMap<String, Integer> copy =
        ImmutableBiMap.copyOf(Collections.<String, Integer>emptyMap());

labels.reqheader_value=Value
labels.reqheader_web_crawling_config=Web Config
labels.key_match_configuration=Key Match
labels.key_match_list_term=Term
labels.key_match_list_query=Query
labels.key_match_term=Term
labels.key_match_query=Query
labels.key_match_size=Size
labels.key_match_boost=Boost
labels.key_match_title_details=Key Match
labels.design_configuration=Page Design
labels.design_title_file_upload=File Upload

```

### Options

Opt | Description
--- | ---
-d \<n\> | emit values at depth n. if n < 0, all values will be emitted
-kv | output inner key value pairs as newly formed objects
-v | output depth and offset details for each value
-h | display help dialog

## Benchmarks

	// type of s is string
	// s == a[i]
	g(i, s)
}

var key string
var val interface{}  // element type of m is assignable to val
m := map[string]int{"mon":0, "tue":1, "wed":2, "thu":3, "fri":4, "sat":5, "sun":6}
for key, val = range m {
	h(key, val)
}
// key == last map key encountered in iteration
// val == map[key]

var ch chan Work = producer()
for w := range ch {
	doWork(w)
}

	emptyKeyFunc   = func(claim *MapClaims) ([]byte, error) { return nil, nil }
	errorKeyFunc   = func(claim *MapClaims) ([]byte, error) { return nil, fmt.Errorf("error loading key") }
)

var jwtTestData = []struct {
	name        string
	tokenString string
	keyfunc     func(*MapClaims) ([]byte, error)
	claims      jwt.Claims
	valid       bool
	errors      int32
}{
	{
		"basic",

    the proxy selectors are different. Ugh!


## Version 4.2.0

_2019-09-10_

 *  New: API to decode a certificate and private key to create a `HeldCertificate`. This accepts a
    string containing both a certificate and PKCS #8-encoded private key.

    ```kotlin
    val heldCertificate = HeldCertificate.decode("""
        |-----BEGIN CERTIFICATE-----