person_data = {"name": "Dive", "lastname": "Wilson"}
    response = client.post("/people/", json=person_data)
    data = response.json()
    assert response.status_code == 200, response.text
    assert data["name"] == person_data["name"]
    assert data["lastname"] == person_data["lastname"]
    assert data["full_name"] == person_data["name"] + " " + person_data["lastname"]


@needs_pydanticv1

        labelTypePager.clear();
        return asHtml(path_AdminLabeltype_AdminLabeltypeJsp).renderWith(data -> {
            searchPaging(data, form);
        });
    }

    protected void searchPaging(final RenderData data, final SearchForm form) {
        RenderDataUtil.register(data, "labelTypeItems", labelTypeService.getLabelTypeList(labelTypePager)); // page navi

        // restore from pager

    extends AbstractTableReadTest<C> {

  protected void populate(Table<String, Integer, C> table, @Nullable Object... data) {
    checkArgument(data.length % 3 == 0);
    for (int i = 0; i < data.length; i += 3) {
      table.put(
          (String) data[i], (Integer) data[i + 1], nullableCellValue((Character) data[i + 2]));
    }
  }

  protected boolean supportsRemove() {
    return true;
  }

                                                <c:forEach var="data" varStatus="s"
                                                           items="${failureUrlItems}">
                                                    <tr data-href="${contextPath}/admin/failureurl/details/4/${f:u(data.id)}">
                                                        <td>${f:h(data.url)}</td>

				ModTime:   timeSentinel1970,
			}, nil
		}
		inData = xlMeta.data
		fi, err = xlMeta.ToFileInfo(volume, path, versionID, opts.InclFreeVersions, true)
	}
	if !opts.Data || err != nil {
		return fi, err
	}
	versionID = fi.VersionID
	if versionID == "" {
		versionID = nullVersionID
	}

	fi.Data = inData.find(versionID)
	if len(fi.Data) == 0 {
		// PR #11758 used DataDir, preserve it

Lambda

MinIO's Object Lambda implementation allows for transforming your data to serve unique data format requirements for each application. For example, a dataset created by an ecommerce application might include personally identifiable information (PII). When the same data is processed for analytics, PII should be redacted. However, if the same dataset is used for a marketing campaign, you might need to enrich the data with additional details, such as information from the customer loyalty database....

   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This
   * error is defined as the square root of the mean of the squares of the differences between the
   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}

func Test_metaCacheEntries_filterRecursiveRoot(t *testing.T) {
	data := loadMetacacheSampleEntries(t)
	data.filterRecursiveEntries("", slashSeparator)
	got := data.entries().names()
	want := []string{}
	if !reflect.DeepEqual(want, got) {
		t.Errorf("got unexpected result: %#v", got)
	}
}

func Test_metaCacheEntries_filterRecursiveRootSep(t *testing.T) {
	data := loadMetacacheSampleEntries(t)

                                            <c:forEach var="data" varStatus="s" items="${jobLogItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/joblog/details/4/${f:u(data.id)}">
                                                    <td>${f:h(data.jobName)}</td>

        }
        final byte[] data = accessResultData.getData();
        if (data == null) {
            return null;
        }
        return new ByteArrayInputStream(data);
    }