{* ../../docs_src/python_types/tutorial004.py hl[2] *}


## 타입 선언

방금 함수의 매개변수로써 타입 힌트를 선언하는 주요 장소를 보았습니다.

이 위치는 여러분이 **FastAPI**와 함께 이를 사용하는 주요 장소입니다.

### Simple 타입

`str`뿐 아니라 모든 파이썬 표준 타입을 선언할 수 있습니다.

예를 들면:

* `int`
* `float`
* `bool`
* `bytes`

{* ../../docs_src/python_types/tutorial005.py hl[1] *}

     *
     * @param sessionId the session ID
     * @return the count of access results
     */
    @Override
    public int getCount(final String sessionId) {
        return dataHelper.getAccessResultMap(sessionId).size();
    }

    /**
     * Deletes all access results for the specified session.
     *
     * @param sessionId the session ID
     */
    @Override
    public void delete(final String sessionId) {

        final int start = bufferIndex;
        final int structureSize = SMBUtil.readInt2(buffer, bufferIndex);
        if (structureSize != 16) {
            throw new SMBProtocolDecodingException("Structure size is not 16");
        }

        this.shareType = buffer[bufferIndex + 2];
        bufferIndex += 4;
        this.shareFlags = SMBUtil.readInt4(buffer, bufferIndex);
        bufferIndex += 4;

// Access a file (encryption is transparent - automatically used if server requires it)
try (SmbFile file = new SmbFile("smb://server/share/file.txt", context)) {
    if (file.exists()) {
        System.out.println("File size: " + file.length());
    }
}
```

### With Authentication

```java
import jcifs.CIFSContext;
import jcifs.context.BaseContext;
import jcifs.smb.NtlmPasswordAuthenticator;

     * @throws IOException
     */
    @Test
    public void testDoAuthentication() throws IOException {
        // Setup: No "Authorization" header to follow a simple path
        when(mockRequest.getHeader("Authorization")).thenReturn(null);

        // Execute
        NtlmPasswordAuthentication result = ntlmSsp.doAuthentication(mockCifsContext, mockRequest, mockResponse, challenge);

# specific language governing permissions and limitations
# under the License.

name: Java CI

on:
  push:
    branches: [ master ]
  pull_request:
    branches: [ master ]

# allow single build per branch or PR
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

# clear all permissions for GITHUB_TOKEN
permissions: {}

env:
  MIMIR_VERSION: 0.10.6

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

        }

        if (_specification != null) {
            builder.setFetchSource(_specification.columnList.toArray(new String[_specification.columnList.size()]), null);
        }

        return builder;
    }

    // ===================================================================================

                    mergedIdSet.add(item1Id);
                }
            }
            mergedList.add(mergedItem);
        }

        return mergedList.toArray(new SuggestItem[mergedList.size()]);
    }

            bufferIndex += 28; // ???
        }

        bufferIndex = start + daclOffset;

        if (daclOffset != 0) {
            bufferIndex++; // revision
            bufferIndex++;
            final int size = ServerMessageBlock.readInt2(buffer, bufferIndex);
            bufferIndex += 2;
            final int numAces = ServerMessageBlock.readInt4(buffer, bufferIndex);
            bufferIndex += 4;