// Get number of elements and fill data.
  int num_elems = TF_TensorElementCount(theta_tensor);
  vector<float> theta_data(num_elems);
  memcpy(theta_data.data(), TF_TensorData(theta_tensor),
         TF_TensorByteSize(theta_tensor));

  // Initialize space for the numerical gradient.
  vector<float> dtheta_approx(num_elems);

  // Get theta shape and store in theta_dims.

		name  string
		elems []string
		elem  string
		out   bool
	}{
		{"exists", []string{"1", "2", "3"}, "1", true},
		{"not exists", []string{"1", "2", "3"}, "4", false},
	}
	for _, test := range containsTests {
		t.Run(test.name, func(t *testing.T) {
			if out := Contains(test.elems, test.elem); test.out != out {
				t.Errorf("Contains(%v, %s) want: %t, got: %t", test.elems, test.elem, test.out, out)
			}
		})

			if vv.IsValid() && !vv.IsZero() {
				results[idx] = fmt.Sprint(reflect.Indirect(vv).Interface())
			}
		}
	}

	return strings.Join(results, "_")
}

func Contains(elems []string, elem string) bool {
	for _, e := range elems {
		if elem == e {
			return true
		}
	}
	return false
}

func AssertEqual(x, y interface{}) bool {
	if reflect.DeepEqual(x, y) {
		return true
	}

	case reflect.Slice, reflect.Array:
		for i := 0; i < reflectValue.Len(); i++ {
			elem := reflectValue.Index(i)
			elemKey := elem.Interface()
			if elem.Kind() != reflect.Ptr && elem.CanAddr() {
				elemKey = elem.Addr().Interface()
			}

			if _, ok := loaded[elemKey]; ok {
				continue
			}
			loaded[elemKey] = true

  ).group(0)
  for testsuite in r:
    testsuite._elem.set("source_file", source_file)
    # Remove empty testcases
    for p in testsuite._elem.xpath(".//testcase"):
      if not len(p):  # pylint: disable=g-explicit-length-test
        testsuite._elem.remove(p)
    # Change "testsuite > testcase,system-out" to "testsuite > testcase > error"
    for p in testsuite._elem.xpath(".//system-out"):

    ASSERT_EQ(errors::OK, s.code()) << s.message();
    auto num_elem_numerical = TF_TensorElementCount(numerical_tensor);

    TF_Tensor* analytical_tensor;
    s = GetValue(outputs[i], &analytical_tensor);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    auto num_elem_analytical = TF_TensorElementCount(analytical_tensor);

    ASSERT_EQ(num_elem_numerical, num_elem_analytical);

    float* dnumerical = new float[num_elem_numerical]{0};

http://127.0.0.1:8000/items/?skip=0&limit=10
```

...os parâmetros da consulta são:

* `skip`: com o valor `0`
* `limit`: com o valor `10`

Como eles são parte da URL, eles são "naturalmente" strings.

Mas quando você declara eles com os tipos do Python (no exemplo acima, como `int`), eles são convertidos para aquele tipo e validados em relação a ele.

* Revisar Pull Requests, [especially important for translations](contributing.md#traducoes){.internal-link target=_blank}.

Uma salva de palmas para eles. 👏 🙇

## Usuários mais ativos do ultimo mês

        for (Map<String, Object> elem : jobLogList) {
            deleteMethod("/api/admin/joblog/log/" + elem.get("id"));
        }

        final List<Map<String, Object>> crawlingInfoList = readCrawlingInfo(webConfigId);
        for (Map<String, Object> elem : crawlingInfoList) {
            deleteMethod("/api/admin/crawlinginfo/log/" + elem.get("id"));
        }

				}
			}
			// Key not found - return nil result
			return Missing{}, false, nil
		case simdjson.Object:
			elem := kvs.FindKey(key, nil)
			if elem == nil {
				// Key not found - return nil result
				return Missing{}, false, nil
			}
			val, err := IterToValue(elem.Iter)
			if err != nil {
				return nil, false, err
			}
			return jsonpathEval(p[1:], val)
		default: