setCreatedTime_PercentileRanks(values, null);
    }

    public void setCreatedTime_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setCreatedTime_PercentileRanks("createdTime", values, opLambda);
    }

    public void setCreatedTime_PercentileRanks(String name, double[] values,

                               const TF_DataType* values, int num_values) {
  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, tensorflow::gtl::ArraySlice<const tensorflow::DataType>(
                          reinterpret_cast<const tensorflow::DataType*>(values),
                          num_values));
}

        }

        this.certificatePinner = certificatePinner
      }

    /**
     * Sets the default timeout for complete calls. A value of 0 means no timeout, otherwise values
     * must be between 1 and [Integer.MAX_VALUE] when converted to milliseconds.
     *
     * The call timeout spans the entire call: resolving DNS, connecting, writing the request body,

                .map(s -> clientRuleCache.computeIfAbsent(s, t -> {
                    final String[] values = t.split(":", 2);
                    if (values.length != 2) {
                        return null;
                    }
                    return new Pair<>(values[0], Pattern.compile(values[1]));
                })).toList());
    }

Let's see how that works and how to change it if you need to do that.

## Pydantic Models for Input and Output

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input

  }

  @Override
  V getValue(int index) {
    int rowIndex = cellRowIndices[index];
    ImmutableMap<C, V> row = rowMap.values().asList().get(rowIndex);
    int columnIndex = cellColumnInRowIndices[index];
    return row.values().asList().get(columnIndex);
  }

  @Override
  @J2ktIncompatible // serialization
  @GwtIncompatible // serialization
  Object writeReplace() {

        if (metaData != null) {
            return metaData;
        }

        List<MethodLinkMetaData> candidates = new ArrayList<MethodLinkMetaData>();
        for (MethodLinkMetaData methodLinkMetaData : methods.values()) {
            if (methodLinkMetaData.name.equals(method)) {
                candidates.add(methodLinkMetaData);
            }
        }
        if (candidates.isEmpty()) {

  for (int i = 0; i < len; ++i) {
    values[i] = TF_NewBuffer();
    status->status = MessageToBuffer(attr->list().shape(i), values[i]);
    if (!status->status.ok()) {
      // Delete everything allocated to far, the operation has failed.
      for (int j = 0; j <= i; ++j) {
        TF_DeleteBuffer(values[j]);
      }
      return;
    }
  }
}

from typing import List, Union

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(x_token: Union[List[str], None] = Header(default=None)):

from typing import Annotated, List, Union

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(x_token: Annotated[Union[List[str], None], Header()] = None):