de fichiers](https://fess.codelibs.org/14.17/admin/fileconfig-guide.html), ou un [Data Store](https://fess.codelibs.org/14.17/admin/dataconfig-guide.html) (comme un fichier CSV ou une base de données). De nombreux formats de fichiers sont pris en charge, y compris (mais sans s'y limiter) : Microsoft Office, PDF, et zip.

*[Fess Site Search](https://github.com/codelibs/fess-site-search)* est une alternative gratuite à [Google Site Search](https://enterprise.google.com/search/products/gss.html)....

        pip install pylint==2.13.9 numpy wheel
    - name: Run PyLint on changed files
      run: |

		if field == nil {
			continue
		}

		if len(joinFields) == 0 || len(joinFields[idx]) == 0 {
			db.AddError(field.Set(db.Statement.Context, reflectValue, values[idx]))
		} else { // joinFields count is larger than 2 when using join
			var isNilPtrValue bool
			var relValue reflect.Value
			// does not contain raw dbname
			nestedJoinSchemas := joinFields[idx][:len(joinFields[idx])-1]
			// current reflect value

* Allez dans le répertoire de votre projet.
* Créez un `Dockerfile` avec :

```Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7

COPY ./app /app
```

### Applications plus larges

Si vous avez suivi la section sur la création d' [Applications avec plusieurs fichiers](../tutorial/bigger-applications.md){.internal-link target=_blank}, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile

//
//   - <KbBlockSize>
//     Veeam Block Size for backup and restore processing before compression is applied. The higher the block size, the more
//     backup space is needed for incremental backups. Larger block sizes also mean less performance for random read restore
//     methods like Instant Restore, File Level Recovery, and Database/Application restores. Veeam recommends that vendors

 *  New: Change `HeldCertificate.Builder` to use its own ASN.1 certificate encoder. This is part
    of our effort to remove the okhttp-tls module's dependency on Bouncy Castle. We think Bouncy
    Castle is great! But it's a large dependency (6.5 MiB) and its security provider feature
    impacts VM-wide behavior.

 *  New: Reduce contention for applications that make a very high number of concurrent requests.

            // Should not throw when converting to byte array
            assertDoesNotThrow(() -> init.toByteArray());
        }

        @Test
        @DisplayName("Large MIC values are handled correctly")
        void testLargeMicValue() throws Exception {
            byte[] largeMic = new byte[1024];
            Arrays.fill(largeMic, (byte) 0xAB);

            assertEquals(-1, stream.read()); // Should indicate end of stream
        }
    }

    @Test
    public void testMemoryBasedCacheWithLargeData() throws IOException {
        // Create a large byte array (1MB)
        byte[] data = new byte[1024 * 1024];
        for (int i = 0; i < data.length; i++) {
            data[i] = (byte) (i % 256);
        }

        ContentCache cache = new ContentCache(data);

        }
        longPath.append("file.txt");

        trans2QueryPathInfo = new Trans2QueryPathInformation(config, longPath.toString(), TEST_INFO_LEVEL);

        byte[] buffer = new byte[8192]; // Large buffer for long path
        int written = trans2QueryPathInfo.writeParametersWireFormat(buffer, 0);

        // Should write the entire path
        assertTrue(written > longPath.length());

            sb.setLength(0); // Reset length
        }
        return sb;
    }

    private void returnStringBuilder(StringBuilder sb) {
        if (sb != null && sb.capacity() < 2048) { // Avoid keeping very large builders
            stringBuilderPool.offer(sb);
        }
    }

    private Map<String, Object> getContextMap() {
        HashMap<String, Object> map = mapPool.poll();
        if (map == null) {