assertEquals("", j.join(ImmutableMultimap.of().entries()));
    assertEquals("", j.join(ImmutableMultimap.of().entries().iterator()));
    assertEquals(":", j.join(ImmutableMultimap.of("", "").entries()));
    assertEquals(":", j.join(ImmutableMultimap.of("", "").entries().iterator()));
    assertEquals("1:a;1:b", j.join(ImmutableMultimap.of("1", "a", "1", "b").entries()));

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

& ⤴️ 👥 🤙:

```Python
user_dict = user_in.dict()
```

👥 🔜 ✔️ `dict` ⏮️ 💽 🔢 `user_dict` (⚫️ `dict` ↩️ Pydantic 🏷 🎚).

& 🚥 👥 🤙:

```Python
print(user_dict)
```

👥 🔜 🤚 🐍 `dict` ⏮️:

```Python
{
    'username': 'john',
    'password': 'secret',

    }

    assertEquals("{" + JOINER.join(map.entrySet()) + "}", map.toString());
    assertEquals("[" + JOINER.join(map.entrySet()) + "]", map.entrySet().toString());
    assertEquals("[" + JOINER.join(map.keySet()) + "]", map.keySet().toString());
    assertEquals("[" + JOINER.join(map.values()) + "]", map.values().toString());

    }

    assertEquals("{" + JOINER.join(map.entrySet()) + "}", map.toString());
    assertEquals("[" + JOINER.join(map.entrySet()) + "]", map.entrySet().toString());
    assertEquals("[" + JOINER.join(map.keySet()) + "]", map.keySet().toString());
    assertEquals("[" + JOINER.join(map.values()) + "]", map.values().toString());

    }

    assertEquals("{" + JOINER.join(map.entrySet()) + "}", map.toString());
    assertEquals("[" + JOINER.join(map.entrySet()) + "]", map.entrySet().toString());
    assertEquals("[" + JOINER.join(map.keySet()) + "]", map.keySet().toString());
    assertEquals("[" + JOINER.join(map.values()) + "]", map.values().toString());

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

Los modelos Pydantic tienen un método `.dict()` que devuelve un `dict` con los datos del modelo.

Así que, si creamos un objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

y luego llamamos a:

```Python
user_dict = user_in.dict()
```

			t.Errorf("Test %d: Expected the APIErrCode to be %d, got %d", i+1, testCase.expectedErrCode, actualErrCode)
		}
		if actualErrCode == ErrNone {
			if strings.Join(testCase.expectedSignedHeaders, ",") != strings.Join(actualSignedHeaders, ",") {
				t.Errorf("Test %d: Expected the result to be \"%v\", but got \"%v\". ", i+1, testCase.expectedSignedHeaders, actualSignedHeaders)
			}
		}
	}
}

		if err := os.WriteFile(filepath.Join(dir, name1), []byte{}, os.ModePerm); err != nil {
			// For cleanup, its required to add these entries into test results.
			testResults = append(testResults, result{dir, entries})
			t.Fatalf("Unable to create a file, %s", err)
		}
		// Symlink will not be added to entries.
		if err := os.Symlink(filepath.Join(dir, name1), filepath.Join(dir, name2)); err != nil {

		if !strings.HasPrefix(lkey, "x-amz-") {
			continue
		}
		keys = append(keys, lkey)
		keyval[lkey] = strings.Join(headers[key], ",")
	}
	sort.Strings(keys)
	var canonicalHeaders []string
	for _, key := range keys {
		canonicalHeaders = append(canonicalHeaders, key+":"+keyval[key])
	}
	return strings.Join(canonicalHeaders, "\n")
}

// Return canonical resource string.