from datetime import datetime, time, timedelta
from uuid import UUID

from fastapi import Body, FastAPI

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: datetime = Body(),
    end_datetime: datetime = Body(),
    process_after: timedelta = Body(),
    repeat_at: time | None = Body(default=None),
):
    start_process = start_datetime + process_after

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.testing.FakeTicker;
import java.time.Duration;
import junit.framework.TestCase;

/** Unit test for the {@code java.time} support in {@link Stopwatch}. */
@J2ktIncompatible
@GwtIncompatible
public class StopwatchJavaTimeTest extends TestCase {
  private final FakeTicker ticker = new FakeTicker();

But doing that, in some minutes or hours the attackers would have guessed the correct username and password, with the "help" of our application, just using the time taken to answer.

#### Fix it with `secrets.compare_digest()`

But in our code we are actually using `secrets.compare_digest()`.

from datetime import datetime, time, timedelta
from typing import Annotated
from uuid import UUID

from fastapi import Body, FastAPI

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: Annotated[datetime, Body()],
    end_datetime: Annotated[datetime, Body()],
    process_after: Annotated[timedelta, Body()],
    repeat_at: Annotated[time | None, Body()] = None,
):

   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,

    delegate().lockInterruptibly();
  }

  @Override
  public boolean tryLock() {
    return delegate().tryLock();
  }

  @Override
  public boolean tryLock(long time, TimeUnit unit) throws InterruptedException {
    return delegate().tryLock(time, unit);
  }

  @Override
  public void unlock() {
    delegate().unlock();
  }

  @Override
  public Condition newCondition() {

type currentScannerCycle struct {
	current        uint64
	next           uint64
	started        time.Time
	cycleCompleted []time.Time
}

// clone returns a clone.
func (z currentScannerCycle) clone() currentScannerCycle {
	z.cycleCompleted = append(make([]time.Time, 0, len(z.cycleCompleted)), z.cycleCompleted...)
	return z

	SecretKey    string                 `xml:"SecretAccessKey" json:"secretKey,omitempty" yaml:"secretKey"`
	SessionToken string                 `xml:"SessionToken" json:"sessionToken,omitempty" yaml:"sessionToken"`
	Expiration   time.Time              `xml:"Expiration" json:"expiration,omitempty" yaml:"-"`
	Status       string                 `xml:"-" json:"status,omitempty"`
	ParentUser   string                 `xml:"-" json:"parentUser,omitempty"`

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.helper;

import static org.codelibs.core.stream.StreamUtil.stream;

import java.time.ZonedDateTime;
import java.time.format.DateTimeFormatter;
import java.util.Comparator;
import java.util.LinkedHashMap;
import java.util.Locale;
import java.util.Map;
import java.util.stream.Collectors;

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# Updating charts and values.yaml

## Acceptable Pull Requests

Helm charts `values.yaml` represent a complex user facing API that tends to grow uncontrollably over time
due to design choices in Helm.
The underlying Kubernetes resources we configure have 1000s of fields; given enough users and bespoke use cases,
eventually someone will want to customize every one of those fields.