get() = withValidityAssertion { descriptor.setter != null }

    override val setter: KtPropertySetterSymbol?
        get() = withValidityAssertion {
            if (!descriptor.isVar) {
                return null
            }

            val setter = descriptor.setter ?: return KtFe10DescDefaultPropertySetterSymbol(descriptor, analysisContext)
            KtFe10DescPropertySetterSymbol(setter, analysisContext)
        }

  `After that,' continued the Hatter, `I cut some more bread-
and-butter--'

  `But what did the Dormouse say?' one of the jury asked.

  `That I can't remember,' said the Hatter.

  `You MUST remember,' remarked the King, `or I'll have you
executed.'

  The miserable Hatter dropped his teacup and bread-and-butter,
and went down on one knee.  `I'm a poor man, your Majesty,' he

                    }
                    fir.getter?.let { getter ->
                        methods.singleOrNull { it.returnType != PsiType.VOID }?.let {
                            bindings.put(METHOD_FOR_FIR_FUNCTION, getter, Method(it.name, getAsmMethodSignatureWithCorrection(it)))
                        }
                    }
                    fir.setter?.let { setter ->

  `After that,' continued the Hatter, `I cut some more bread-
and-butter--'

  `But what did the Dormouse say?' one of the jury asked.

  `That I can't remember,' said the Hatter.

  `You MUST remember,' remarked the King, `or I'll have you
executed.'

  The miserable Hatter dropped his teacup and bread-and-butter,
and went down on one knee.  `I'm a poor man, your Majesty,' he

  // `input_tensor_id`, and `input_dtypes`; the latter two are somewhat
  // redundant but taken as arguments to avoid repeatedly fetching these values
  // between calls to ShouldRecord and Accumulator), and its outputs
  // (`output_tensors`).
  //
  // If provided, a non-null `forward_function` will be used instead of the
  // backward function (`backward_function_getter` /

   * of the function in [7.0, 10.0] is equivalent to the sum of the integrals of [7.0, 8.0], [8.0,
   * 9.0], [9.0, 10.0] (and so on), no matter what the function is. This guarantees that we handle
   * correctly requests of varying weight (permits), /no matter/ what the actual function is - so we
   * can tweak the latter freely. (The only requirement, obviously, is that we can compute its
   * integrals).
   *

 * graph.putEdge("chocolate", "peanut butter");
 * graph.putEdge("peanut butter", "jelly");
 *
 * // Building an immutable graph
 * ImmutableGraph<String> immutableGraph =
 *     GraphBuilder.undirected()
 *         .allowsSelfLoops(true)
 *         .<String>immutable()
 *         .putEdge("bread", "bread")
 *         .putEdge("chocolate", "peanut butter")
 *         .putEdge("peanut butter", "jelly")
 *         .build();
 * }</pre>

Python will complain if you put a value with a "default" before a value that doesn't have a "default".

But you can re-order them, and have the value without a default (the query parameter `q`) first.

It doesn't matter for **FastAPI**. It will detect the parameters by their names, types and default declarations (`Query`, `Path`, etc), it doesn't care about the order.

So, you can declare your function as:

=== "Python 3.8 non-Annotated"

01BC          ; mapped                 ; 01BD          # 1.1  LATIN CAPITAL LETTER TONE FIVE
01BD..01C3    ; valid                                  # 1.1  LATIN SMALL LETTER TONE FIVE..LATIN LETTER RETROFLEX CLICK
01C4..01C6    ; mapped                 ; 0064 017E     # 1.1  LATIN CAPITAL LETTER DZ WITH CARON..LATIN SMALL LETTER DZ WITH CARON

  std::atomic<bool> extend_before_run;
};

struct TF_ImportGraphDefOptions {
  tensorflow::ImportGraphDefOptions opts;

  // Backing memory for TensorId fields in opts.
  // TODO(skyewm): it'd be better if ImportGraphDefOptions owned this.
  std::vector<tensorflow::string> tensor_id_data;
};

struct TF_ImportGraphDefResults {
  std::vector<TF_Output> return_tensors;
  std::vector<TF_Operation*> return_nodes;