if is_coroutine:
            value, errors = field.validate(response_content, {}, loc=("response",))
        else:
            value, errors = await run_in_threadpool(
                field.validate, response_content, {}, loc=("response",)
            )
        if errors:
            ctx = endpoint_ctx or EndpointContext()
            raise ResponseValidationError(
                errors=errors,
                body=response_content,

    if (TF_GetCode(&s) != TF_Code::TF_OK) {
      tensorflow::CoordinationServiceError error;
      *error.mutable_source_task() = result.error_payload().source_task();
      TF_SetPayload(&s, tensorflow::CoordinationErrorPayloadKey().data(),
                    error.SerializeAsString().c_str());
    }
    *state_iter = std::move(s);
    ++state_iter;
  }

	*scanner
	emitDepth     int
	maxDepth      int
	emitKV        bool
	emitRecursive bool
	objectAsKVS   bool

	depth   int
	scratch *scratch
	metaCh  chan *MetaValue
	err     error

	// follow line position to add context to errors
	lineNo    int
	lineStart int64
}

// NewDecoder creates new Decoder to read JSON values at the provided
// emitDepth from the provider io.Reader.

errors.failed_to_install_plugin=安装 {0} 失败。
errors.failed_to_find_plugins=未找到可用插件。
errors.failed_to_process_sso_request=处理请求失败: {0}

errors.property_required={0} 是必需的。
errors.property_type_integer={0} 是数字。
errors.property_type_long={0} 是数字。
errors.property_type_float={0} 是数字。
errors.property_type_double={0} 是数字。
errors.property_type_date={0} 是日期。

errors.storage_file_upload_failure=上传 {0} 失败。

errors.failed_to_process_sso_request=Échec du traitement d'une requête : {0}

errors.property_required={0} est requis.
errors.property_type_integer={0} doit être un entier.
errors.property_type_long={0} doit être un long.
errors.property_type_float={0} doit être un flottant.
errors.property_type_double={0} doit être un double.
errors.property_type_date={0} doit être une date.

                    new ProjectExecutionEvent(session, currentProject, t));

            // rethrow original errors and runtime exceptions
            if (t instanceof RuntimeException runtimeException) {
                throw runtimeException;
            }
            if (t instanceof Error error) {
                throw error;
            }
        } finally {
            session.setCurrentProject(null);

}

string VariableAddFunctionWithGraphError() {
  string signature = VariableAddFunctionSignature();
  // Replace the node 'read0' with 'read0_maybe_with_graph_error', so that the
  // error injecting pass can identify and introduce graph pass errors.
  signature = std::regex_replace(signature, std::regex("read0"),
                                 "read0_maybe_with_graph_error");
  tensorflow::FunctionDef def;

* **`400 - 499`** are for "Client error" responses. These are the second type you would probably use the most.
    * An example is `404`, for a "Not Found" response.
    * For generic errors from the client, you can just use `400`.

labels.csvFileEncoding=Codifica CSV
labels.defaultLabelValue=Etichetta predefinita
labels.designFileName=Nome file
labels.incrementalCrawling=Verifica ultima modifica
labels.errorCount=Numero di errori
labels.errorLog=Log errori
labels.errorName=Nome errore
labels.expiredTime=Data di scadenza
labels.expires=Scade
labels.failureCountThreshold=Soglia di fallimento
labels.fileConfigName=Nome configurazione scansione file
labels.fileName=Nome file

package lifecycle

import (
	"encoding/xml"
	"fmt"
	"testing"
)

// appropriate errors on validation
func TestInvalidExpiration(t *testing.T) {
	testCases := []struct {
		inputXML    string
		expectedErr error
	}{
		{ // Expiration with zero days
			inputXML: ` <Expiration>
                                    <Days>0</Days>