transform: rotate(135deg);
  -webkit-transform: rotate(135deg);
}

.daterangepicker .calendar-table th, .daterangepicker .calendar-table td {
  white-space: nowrap;
  text-align: center;
  vertical-align: middle;
  min-width: 32px;
  width: 32px;
  height: 24px;
  line-height: 24px;
  font-size: 12px;
  border-radius: 4px;
  border: 1px solid transparent;
  white-space: nowrap;

import org.eclipse.aether.DefaultRepositorySystemSession;
import org.eclipse.aether.util.graph.manager.ClassicDependencyManager;

/**
 * A utility class to assist in setting up a Maven-like repository system. Note: This component is meant to
 * assist those clients that employ the repository system outside of an IoC container, Maven plugins should instead
 * always use regular dependency injection to acquire the repository system.
 *

import jcifs.internal.util.SMBUtil;

/**
 * File System Control Code (FSCC) structure for File Internal Information.
 * Provides access to the file's internal index number, which is a unique identifier
 * assigned by the file system for internal tracking and reference purposes.
 *
 * @author mbechler
 */
public class FileInternalInfo implements FileInformation {

    private long indexNumber;

    /**

   `keytool -importkeystore -srckeystore test-node.jks -srcstorepass keypass -destkeystore test-node.p12 -deststoretype PKCS12 -deststorepass keypass`
8. Export the node's private key
   `openssl pkcs12 -in test-node.p12 -passin pass:keypass -nocerts -passout pass:test-node-key-password -out test-node.key`
9. Convert the client's keystore to PKCS#12 temporarily so that we can export the private key (as keytool doesn't allow this)

## GraphQL mit Strawberry { #graphql-with-strawberry }

Wenn Sie mit **GraphQL** arbeiten möchten oder müssen, ist [**Strawberry**](https://strawberry.rocks/) die **empfohlene** Bibliothek, da deren Design **FastAPIs** Design am nächsten kommt und alles auf **Typannotationen** basiert.

## GraphQL with Strawberry { #graphql-with-strawberry }

If you need or want to work with **GraphQL**, [**Strawberry**](https://strawberry.rocks/) is the **recommended** library as it has the design closest to **FastAPI's** design, it's all based on **type annotations**.

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

<p align="center">
  <a href="https://fastapi.tiangolo.com"><img src="https://fastapi.tiangolo.com/img/logo-margin/logo-teal.png" alt="FastAPI"></a>
</p>
<p align="center">
    FastAPI framework, high performance, easy to learn, fast to code, ready for production
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">

{* ../../docs_src/behind_a_proxy/tutorial002_py310.py hl[3] *}

Passing the `root_path` to `FastAPI` would be the equivalent of passing the `--root-path` command line option to Uvicorn or Hypercorn.

### About `root_path` { #about-root-path }

Keep in mind that the server (Uvicorn) won't use that `root_path` for anything else than passing it to the app.

            // When: Encoding the UUID
            uuid.encode(mockNdrBuffer);

            // Then: Verify the encoding sequence
            verify(mockNdrBuffer).align(4);
            verify(mockNdrBuffer).enc_ndr_long(0x12345678);
            verify(mockNdrBuffer).enc_ndr_short((short) 0x9ABC);
            verify(mockNdrBuffer).enc_ndr_short((short) 0xDEF0);

`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation