// Valid date format
        assertTrue(sitemapsHelper.isValidDateFormat("2025-01-01"));
        assertTrue(sitemapsHelper.isValidDateFormat("2025-01-01T12:00:00+00:00"));
        assertTrue(sitemapsHelper.isValidDateFormat(null));
        assertTrue(sitemapsHelper.isValidDateFormat(""));

        // Invalid date format
        assertFalse(sitemapsHelper.isValidDateFormat("2025-1-1"));

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package http

// Object Lambda headers
const (
	AmzRequestRoute = "x-amz-request-route"

         * it will be reported as "external". It is up to developer to correctly interpret output (GAV) of issues
         * and realize that in this case he wears two hats:" "user" and "(plugin) developer".
         */
        EXTERNAL
    }

    /**
     * Reports plugin issues applicable to the plugin as a whole.
     * <p>

//
//msgp:tuple VolInfo
type VolInfo struct {
	// Name of the volume.
	Name string

	// Date and time when the volume was created.
	Created time.Time

	// total VolInfo counts
	count int

	// Date and time when the volume was deleted, if Deleted
	Deleted time.Time
}

// FilesInfo represent a list of files, additionally

	// Add the algorithm condition, only accept AWS SignV4 Sha256.
	algorithmConditionStr := `["eq", "$x-amz-algorithm", "AWS4-HMAC-SHA256"]`
	// Add the date condition, only accept the current date.
	dateConditionStr := fmt.Sprintf(`["eq", "$x-amz-date", "%s"]`, t.Format(iso8601DateFormat))
	// Add the credential string, only accept the credential passed.

Sie schreiben Standard-Python mit Typen:

```Python
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein str
# und bekommen Sie Editor-Unterstützung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python

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

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Değişkeni str olarak belirt
# ve o fonksiyon için harika bir editör desteği al
def main(user_id: str):
    return user_id


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

Sonrasında bu şekilde kullanabilirsin

```Python

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package kms

import (
	"context"
	"net/http"
	"slices"
	"sync/atomic"

enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for machine learning research. In this paper, we describe the TensorFlow dataflow model and demonstrate the compelling performance that TensorFlow achieves for several real-world...