aria-label="<la:message key="labels.chat_input_placeholder" />"></textarea>
								<button type="button" id="sendBtn" class="btn btn-primary" aria-label="<la:message key="labels.chat_send" />">
									<i class="fa fa-paper-plane" aria-hidden="true"></i>
								</button>
							</div>
							<div class="input-footer">
								<span class="input-hint"><la:message key="labels.chat_input_hint" /></span>

									aria-label="<la:message key="labels.chat_input_placeholder" />"></textarea>
								<button type="button" id="sendBtn" class="btn btn-primary" aria-label="<la:message key="labels.chat_send" />">
									<i class="fa fa-paper-plane" aria-hidden="true"></i>
								</button>
							</div>
							<div class="input-footer">
								<span class="input-hint"><la:message key="labels.chat_input_hint" /></span>

 * @author Kurt Alfred Kluever
 */
enum BloomFilterStrategies implements BloomFilter.Strategy {
  /**
   * See "Less Hashing, Same Performance: Building a Better Bloom Filter" by Adam Kirsch and Michael
   * Mitzenmacher. The paper argues that this trick doesn't significantly deteriorate the
   * performance of a Bloom filter (yet only needs two 32bit hash functions).
   */
  MURMUR128_MITZ_32() {
    @Override

*   Adds `beta` hyperparameter to
    [FTRL](https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/Ftrl)
    optimizer classes (Keras and others) to match
    [FTRL paper](https://research.google.com/pubs/archive/41159.pdf).
*   `Optimizer.__init__` now accepts a `gradient_aggregator` to allow for
    customization of how gradients are aggregated across devices, as well as

    }

    // Test constructor initialization
    @Test
    public void test_constructor() {
        // Verify suffix is set correctly
        assertEquals(PagerCreator.SUFFIX, "Pager");

        // Verify name suffix is set
        assertEquals("Pager", pagerCreator.getNameSuffix());

        // Verify instance def is SESSION
        assertEquals(InstanceDefFactory.SESSION, pagerCreator.getInstanceDef());

        final SchedulerPager pager = copyBeanToNewBean(body, SchedulerPager.class);
        final List<ScheduledJob> list = scheduledJobService.getScheduledJobList(pager);
        return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount())

Cela reviendrait à peu près à taper :

<div class="termy">

```console
$ /opt/custompython/bin/python
```

</div>

////

//// tab | Windows

Le système va **trouver** le programme `python` dans `C:\opt\custompython\bin\python` et l'exécuter.

Cela reviendrait à peu près à taper :

<div class="termy">

```console

import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.annotation.Secured;
import org.codelibs.fess.app.pager.DataConfigPager;
import org.codelibs.fess.app.service.DataConfigService;
import org.codelibs.fess.app.service.RoleTypeService;
import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.base.FessAdminAction;

import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.annotation.Secured;
import org.codelibs.fess.app.pager.FileConfigPager;
import org.codelibs.fess.app.service.FileConfigService;
import org.codelibs.fess.app.service.LabelTypeService;
import org.codelibs.fess.app.service.RoleTypeService;
import org.codelibs.fess.app.web.CrudMode;

│   │   ├── admin/             # Admin controllers ({feature}/ with Action, Forms)
│   │   └── api/               # API controllers
│   ├── service/               # Business logic services
│   ├── pager/                 # Pagination handlers
│   └── job/                   # Background jobs
├── api/                       # REST API infrastructure
├── opensearch/                # DBFlute integration for OpenSearch