if (TZ.inDaylightTime(new Date())) {
                // in DST
                if (TZ.inDaylightTime(new Date(t))) {
                    // t also in DST so no correction
                } else {
                    // t not in DST so subtract 1 hour
                    t -= 3600000;
                }
            } else // not in DST
            if (TZ.inDaylightTime(new Date(t))) {

import java.io.File;
import java.io.PrintStream;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;

Entonces:

```Python
q: Union[str, None] = Query(default=None)
```

...hace que el parámetro sea opcional, con un valor por defecto de `None`, lo mismo que:

```Python
q: Union[str, None] = None
```

Y en Python 3.10 y superior:

```Python
q: str | None = Query(default=None)
```

...hace que el parámetro sea opcional, con un valor por defecto de `None`, lo mismo que:

```Python

import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.OutputStreamWriter;
import java.io.Writer;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.List;

import org.codelibs.core.io.CloseableUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.curl.CurlResponse;
import org.codelibs.fess.Constants;

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python

import java.io.IOException;
import java.net.InetAddress;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.text.SimpleDateFormat;
import java.util.Arrays;
import java.util.Date;
import java.util.Properties;
import java.util.stream.Stream;
import java.util.zip.ZipEntry;
import java.util.zip.ZipOutputStream;

import org.apache.commons.text.StringEscapeUtils;

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python

    assertThat(decoded).isEqualTo(date("2049-12-31T23:59:59.000+0000").time)
  }

  @Test fun `time before 1950 uses GENERALIZED_TIME`() {
    val generalizedTimeDer = "180f31393439313233313233353935395a".decodeHex()

    val decoded = CertificateAdapters.time.fromDer(generalizedTimeDer)
    val encoded = CertificateAdapters.time.toDer(decoded)

    assertThat(decoded).isEqualTo(date("1949-12-31T23:59:59.000+0000").time)

     *       operations in a thread always happen-before subsequent read operations in the same
     *       thread
     *   <li>If this field's value == null because of unsafe publication, we know that it isn't the
     *       object associated with our thread, because if it was the publication wouldn't have been

import static org.mockito.Mockito.doAnswer;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;

import java.util.Date;
import java.util.TimeZone;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import org.mockito.Mock;
import org.mockito.MockitoAnnotations;