final String queryId = data.getQueryId();
            final String highlightParams = data.getAppendHighlightParams();
            final boolean nextPage = data.isExistNextPage();
            final boolean prevPage = data.isExistPrevPage();
            final long startRecordNumber = data.getCurrentStartRecordNumber();
            final long endRecordNumber = data.getCurrentEndRecordNumber();

            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))) {

    "Content-Length": "401",
    "Content-Type": "application/octet-stream",
    "User-Agent": "MinIO (linux; amd64) minio-go/v7.0.70 mc/RELEASE.2024-04-30T17-44-48Z",
    "X-Amz-Content-Sha256": "STREAMING-AWS4-HMAC-SHA256-PAYLOAD",
    "X-Amz-Date": "20240509T073810Z",

     * This is a bulk cleanup operation for removing old session data.
     *
     * @param date the expiration time threshold - records expired before this time will be deleted
     */
    public void deleteBefore(final long date) {
        crawlingInfoBhv.selectBulk(cb -> cb.query().setExpiredTime_LessThan(date), list -> {

    /** Info map key for data crawling execution time. */
    public static final String DATA_CRAWLING_EXEC_TIME = "DataCrawlExecTime";

    /** Info map key for data indexing execution time. */
    public static final String DATA_INDEX_EXEC_TIME = "DataIndexExecTime";

    /** Info map key for data index size. */
    public static final String DATA_INDEX_SIZE = "DataIndexSize";

شما پایتون استاندارد را با استفاده از تایپ ها مینویسید:

```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
```

که سپس میتوان به این شکل از آن استفاده کرد:

```Python

labels.crawling_info_DataCrawlExecTime=Crawl Execution Time (Data Store)
labels.crawling_info_DataCrawlStartTime=Crawl Start Time (Data Store)
labels.crawling_info_DataCrawlEndTime=Crawl End Time (Data Store)
labels.crawling_info_DataIndexExecTime=Indexing Execution Time (Data Store)
labels.crawling_info_DataIndexSize=Index Size (Data Store)
labels.webauth_configuration=Web Authentication

Lambda

MinIO's Object Lambda implementation allows for transforming your data to serve unique data format requirements for each application. For example, a dataset created by an ecommerce application might include personally identifiable information (PII). When the same data is processed for analytics, PII should be redacted. However, if the same dataset is used for a marketing campaign, you might need to enrich the data with additional details, such as information from the customer loyalty database....

You write standard Python with types:

```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
```

That can then be used like:

```Python

     *
     * @param value the date string to parse
     * @return parsed Date object, or null if parsing fails
     */
    public static Date parseDate(final String value) {
        return parseDate(value, Constants.DATE_OPTIONAL_TIME);
    }

    /**
     * Parses a date string using the specified format.
     *
     * @param value the date string to parse