while (itr1.hasNext()) {
              E elem1 = itr1.next();
              if (!set2.contains(elem1)) {
                return elem1;
              }
            }
            while (itr2.hasNext()) {
              E elem2 = itr2.next();
              if (!set1.contains(elem2)) {
                return elem2;
              }
            }
            return endOfData();
          }

avançado-iniciante para complementar essa seção da documentação, você pode querer conferir: <a href="https://testdriven.io/courses/tdd-fastapi/" class="external-link" target="_blank">Test-Driven Development com FastAPI e Docker</a> por **TestDriven.io**.

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      // assumes that each set is a singleton or less (as is done for the samples)
      for (Object elem : elements) {
        @SuppressWarnings("unchecked") // safe by generator contract
        Entry<String, Collection<Integer>> entry = (Entry<String, Collection<Integer>>) elem;
        Integer value = Iterables.getOnlyElement(entry.getValue());
        builder.put(entry.getKey(), value);
      }

			}

			appendToFieldValues := func(ev reflect.Value) {
				if ev.Type().AssignableTo(elemType) {
					fieldValue = reflect.Append(fieldValue, ev)
				} else if ev.Type().Elem().AssignableTo(elemType) {
					fieldValue = reflect.Append(fieldValue, ev.Elem())
				} else {
					association.Error = fmt.Errorf("unsupported data type: %v for relation %s", ev.Type(), association.Relationship.Name)
				}

			for destValue.Kind() == reflect.Ptr {
				destValue = destValue.Elem()
			}

			if stmt.ReflectValue != destValue {
				if !destValue.CanAddr() {
					destValueCanAddr := reflect.New(destValue.Type())
					destValueCanAddr.Elem().Set(destValue)
					stmt.Dest = destValueCanAddr.Interface()
					destValue = destValueCanAddr.Elem()
				}

				switch destValue.Kind() {
				case reflect.Struct:

  TF_Tensor* numerical_tensor;
  s = GetValue(numerical_grad.get(), &numerical_tensor);
  ASSERT_EQ(errors::OK, s.code()) << s.message();
  auto num_elem_numerical = TF_TensorElementCount(numerical_tensor);
  ASSERT_EQ(num_elem_numerical, num_grad);

  float* dnumerical = new float[num_elem_numerical]{0};
  memcpy(&dnumerical[0], TF_TensorData(numerical_tensor),
         TF_TensorByteSize(numerical_tensor));

	}
	if !f.isDir {
		return headerFileInfo{&f.file.FileHeader}, nil
	}
	return f, nil
}

// Only used for directories.
func (f *fileListEntry) Name() string      { _, elem, _ := split(f.name); return elem }
func (f *fileListEntry) Size() int64       { return 0 }
func (f *fileListEntry) Mode() fs.FileMode { return fs.ModeDir | 0555 }
func (f *fileListEntry) Type() fs.FileMode { return fs.ModeDir }

his.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):et.propHooks._default.set(this),this}}).init.prototype=et.prototype,(et.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=E.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){E.fx.step[e.prop]?E.fx.step[e.prop](e):1!==e.elem.nodeType||!E.cssHooks[e.prop]&&null==e.elem.style[Ve(e.prop)]?e.elem[e...

	case *types.Array:
		fmt.Fprintf(buf, "[%d]", typ.Len())
		w.writeType(buf, typ.Elem())

	case *types.Slice:
		buf.WriteString("[]")
		w.writeType(buf, typ.Elem())

	case *types.Struct:
		buf.WriteString("struct")

	case *types.Pointer:
		buf.WriteByte('*')
		w.writeType(buf, typ.Elem())

	case *types.Tuple:
		panic("should never see a tuple type")

	case *types.Signature:

		for stmt.ReflectValue.Kind() == reflect.Ptr {
			if stmt.ReflectValue.IsNil() && stmt.ReflectValue.CanAddr() {
				stmt.ReflectValue.Set(reflect.New(stmt.ReflectValue.Type().Elem()))
			}

			stmt.ReflectValue = stmt.ReflectValue.Elem()
		}
		if !stmt.ReflectValue.IsValid() {
			db.AddError(ErrInvalidValue)
		}
	}

	for _, f := range p.fns {
		f(db)
	}

	if stmt.SQL.Len() > 0 {