users[1].Age += 50
	CheckUser(t, user3, *users[1])

	// update with struct
	DB.Model(users[1]).UpdateColumns(User{Name: "update_column_02_newnew2", Age: 200})
	if users[1].Name != "update_column_02_newnew2" || users[1].Age != 200 {
		t.Errorf("user 2 should be updated with update column")
	}
	AssertEqual(t, lastUpdatedAt.UnixNano(), users[1].UpdatedAt.UnixNano())

	// user2 should not be updated

# file
crawler.document.file.name.encoding=
crawler.document.file.no.title.label=No title.
crawler.document.file.ignore.empty.content=false
crawler.document.file.max.title.length=100
crawler.document.file.max.digest.length=200
crawler.document.file.append.meta.content=true
crawler.document.file.append.body.content=true
crawler.document.file.default.lang=
crawler.document.file.default.include.index.patterns=

 * values added so far. The values may be added singly or in groups. This class is not thread safe.
 *
 * @author Pete Gillin
 * @author Kevin Bourrillion
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
public final class StatsAccumulator {

  // These fields must satisfy the requirements of Stats' constructor as well as those of the stat

  public void testExpectedFpp() {
    BloomFilter<Object> bf = BloomFilter.create(HashTestUtils.BAD_FUNNEL, 10, 0.03);
    double fpp = bf.expectedFpp();
    assertThat(fpp).isEqualTo(0.0);
    // usually completed in less than 200 iterations
    while (fpp != 1.0) {
      boolean changed = bf.put(new Object());
      double newFpp = bf.expectedFpp();
      // if changed, the new fpp is strictly higher, otherwise it is the same

	if err != nil {
		return fmt.Errorf("%s returned '%w', please check your endpoint configuration", h.Endpoint(), err)
	}

	// Drain any response.
	xhttp.DrainBody(resp.Body)

	if resp.StatusCode >= 200 && resp.StatusCode <= 299 {
		// accepted HTTP status codes.
		return nil
	} else if resp.StatusCode == http.StatusForbidden {

    auto virtual_devices =
        gpu_options->mutable_experimental()->add_virtual_devices();
    for (int i = 0; i < num_virtual_gpus; ++i) {
      virtual_devices->add_memory_limit_mb(200);
    }
  }
  return server_def;
}

TFE_TensorHandle* CreateVarHandle(TFE_Context* ctx,
                                  const tensorflow::string& device_name,

                return documentSizeByQuery;
            }

            @Override
            protected int refreshIndex(final SearchEngineClient searchEngineClient, final String index) {
                return 200;
            }
        };
        indexingHelper.setMaxRetryCount(5);
        indexingHelper.setDefaultRowSize(100);
        indexingHelper.setRequestInterval(500);

    #   google-pasta
    #   tb-nightly
tb-nightly==2.19.0a20240926 \
    --hash=sha256:4f2f4dd02eda684fbb2edd9cb46b7bd0ee7ba6ca35d38e4de2e293df8567c1b4
    # via -r ci/official/requirements_updater/requirements.in
tblib==2.0.0 \
    --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \
    --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7
    # via -r ci/official/requirements_updater/requirements.in

    #   google-pasta
    #   tb-nightly
tb-nightly==2.19.0a20240926 \
    --hash=sha256:4f2f4dd02eda684fbb2edd9cb46b7bd0ee7ba6ca35d38e4de2e293df8567c1b4
    # via -r ci/official/requirements_updater/requirements.in
tblib==2.0.0 \
    --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \
    --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7
    # via -r ci/official/requirements_updater/requirements.in

    #   google-pasta
    #   tb-nightly
tb-nightly==2.18.0a20240925 \
    --hash=sha256:ad4b476bfb4e3861b769f93c9ee4efc52f025e3b5db91da5d30c9e806e99a0eb
    # via -r ci/official/requirements_updater/requirements.in
tblib==2.0.0 \
    --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \
    --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7
    # via -r ci/official/requirements_updater/requirements.in