"detail": {
                "errors": [
                    {
                        "type": "list_type",
                        "loc": ["body"],
                        "msg": "Input should be a valid list",
                        "input": {"numbers": [1, 2, 3]},
                    }
                ],
                "body": '{"numbers": [1, 2, 3]}',
            }
        }
    ) | IsDict(

         "      input: 'var0'"
         "      attr {"
         "        key: 'dtype'"
         "        value {"
         "          type: DT_FLOAT"
         "        }"
         "      }"
         "    }"
         "    node_def {"
         "      name: 'add'"
         "      op: 'Add'"
         "      input: 'read0:value:0'"
         "      input: 'read0:value:0'"

    @get:Internal
    abstract val projectDependencies: ConfigurableFileCollection

    @Input
    val runtime = externalDependencies.elements.map { it.map { it.asFile.name }.sorted() }

    @get:Internal
    abstract val externalDependencies: ConfigurableFileCollection

    @Input
    val projects = projectDependencies.elements.map { it.map { it.toGradleModuleName() }.sorted() }

    @get:OutputFile

                                    <label for="input" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.dict_stopwords_source"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="input"/>
                                        <la:text styleId="input" property="input"

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.
void compute(void* kernel, TF_OpKernelContext* ctx) {
  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);
  TF_DeleteStatus(s);
}

// Exercises tensorflow's C API.
int main(int argc, char** argv) {
  TF_InitMain(argv[0], &argc, &argv);

// just enough to support pprof.
//
// Usage:
//
//	go tool addr2line binary
//
// Addr2line reads hexadecimal addresses, one per line and with optional 0x prefix,
// from standard input. For each input address, addr2line prints two output lines,
// first the name of the function containing the address and second the file:line
// of the source code corresponding to that address.
//

                    "loc": ["header", "x-token"],
                    "msg": "Field required",
                    "input": None,
                },
                {
                    "type": "missing",
                    "loc": ["header", "x-key"],
                    "msg": "Field required",
                    "input": None,
                },
            ]
        }
    ) | IsDict(

    }

    @Override
    public String getDocumentBoost() {
        return crawlingConfig.getDocumentBoost();
    }

    @Override
    public String getIndexingTarget(final String input) {
        return crawlingConfig.getIndexingTarget(input);
    }

    @Override
    public String getConfigId() {
        return crawlingConfig.getConfigId();
    }

    @Override
    public Integer getTimeToLive() {

                                   status.get()),
      TFE_DeleteTensorHandle);
  ASSERT_TRUE(arrived);
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

  // Base case: two CPU inputs executes fine.
  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> matmul(
      MatMulOp(context.get(), hcpu.get(), hcpu.get()), TFE_DeleteOp);
  TFE_TensorHandle* retval;
  int num_retvals = 1;

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["body", "foo", "[key]"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [