```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

📥, `new_dict` 🔜 🔌 🌐 🔑-💲 👫 ⚪️➡️ `old_dict` ➕ 🆕 🔑-💲 👫:

```Python
{
    "old key": "old value",
    "second old key": "second old value",
    "new key": "new value",
}
```

    @Size(max = 200)
    public String crawlingConfigName;

    @Required
    @Size(max = 1000)
    public String crawlingConfigPath;

    @Min(value = 0)
    @Max(value = 2147483647)
    @ValidateTypeFailure
    public Integer depth;

    @Min(value = 0)
    @Max(value = 9223372036854775807L)
    @ValidateTypeFailure
    public Long maxAccessCount;

     * @param lineNumber The one-based index of the line containing the problem or {@code -1} if unknown.
     * @param columnNumber The one-based index of the column containing the problem or {@code -1} if unknown.
     * @param exception The exception that caused this problem, may be {@code null}.
     */
    DefaultProblem(

    assertNull(segment.get(key, hash));
    assertFalse(segment.containsKey(key, hash));
    assertFalse(segment.containsValue(value));

    // count == 1
    segment.count++;
    assertSame(value, segment.get(key, hash));
    assertTrue(segment.containsKey(key, hash));
    assertTrue(segment.containsValue(value));
    // don't see absent values now that count > 0
    assertNull(segment.get(new Object(), hash));

    // null key

    assertNull(segment.get(key, hash));
    assertFalse(segment.containsKey(key, hash));
    assertFalse(segment.containsValue(value));

    // count == 1
    segment.count++;
    assertSame(value, segment.get(key, hash));
    assertTrue(segment.containsKey(key, hash));
    assertTrue(segment.containsValue(value));
    // don't see absent values now that count > 0
    assertNull(segment.get(new Object(), hash));

    // null key

  public void testHashCode() {
    for (double value : VALUES) {
      assertThat(Doubles.hashCode(value)).isEqualTo(((Double) value).hashCode());
    }
  }

  public void testIsFinite() {
    for (double value : NUMBERS) {
      assertThat(Doubles.isFinite(value))
          .isEqualTo(!(Double.isNaN(value) || Double.isInfinite(value)));
    }
  }

  public void testCompare() {

                                      const char* value) {
  cell->cell.Set({value});
}

const void TFE_MonitoringStringGaugeCellValue(
    TFE_MonitoringStringGaugeCell* cell, TF_Buffer* buf) {
  tensorflow::string value = cell->cell.value();
  void* data = tensorflow::port::Malloc(value.length());
  value.copy(static_cast<char*>(data), value.length(), 0);
  buf->data = data;
  buf->length = value.length();

# Dependencies in path operation decorators

In some cases you don't really need the return value of a dependency inside your *path operation function*.

Or the dependency doesn't return a value.

But you still need it to be executed/solved.

For those cases, instead of declaring a *path operation function* parameter with `Depends`, you can add a `list` of `dependencies` to the *path operation decorator*.

		want map[string]string
	}{
		{name: "empty", arg: []string{""}, want: map[string]string{"": ""}},
		{name: "one-valid", arg: []string{"key=value"}, want: map[string]string{"key": "value"}},
		{name: "one-valid-double-equals", arg: []string{"key==value"}, want: map[string]string{"key": "=value"}},
		{name: "one-key-only", arg: []string{"key"}, want: map[string]string{"key": ""}},
	}
	for _, tt := range tests {

    }

    protected void assertObjectNotNull(String variableName, Object value) {
        if (variableName == null) {
            String msg = "The value should not be null: variableName=null value=" + value;
            throw new IllegalArgumentException(msg);
        }
        if (value == null) {
            String msg = "The value should not be null: variableName=" + variableName;