If you run the sanity check locally with the `./gradlew sanityCheck`, you can see the binary compatibility error in the output.
It looks like the following:

```
Execution failed for task ':architecture-test:checkBinaryCompatibility'.
> A failure occurred while executing me.champeau.gradle.japicmp.JApiCmpWorkAction
   > Detected binary changes.
         - current: ...
         - baseline: ...

##### Новый язык не поддерживается

Если при запуске скрипта `./scripts/docs.py live` Вы получаете сообщение об ошибке, что язык не поддерживается, что-то вроде:

```
 raise TemplateNotFound(template)
jinja2.exceptions.TemplateNotFound: partials/language/xx.html
```

Сие означает, что тема не поддерживает этот язык (в данном случае с поддельным 2-буквенным кодом `xx`).

Si, lors de l'exécution du script du serveur en direct, vous obtenez une erreur indiquant que la langue n'est pas prise en charge, quelque chose comme :

```
 raise TemplateNotFound(template)
jinja2.exceptions.TemplateNotFound: partials/language/xx.html
```

Cela signifie que le thème ne supporte pas cette langue (dans ce cas, avec un faux code de 2 lettres de `xx`).

  /** @serialData the ConcurrentMap of elements and their counts. */
  private void writeObject(ObjectOutputStream stream) throws IOException {
    stream.defaultWriteObject();
    stream.writeObject(countMap);
  }

  @J2ktIncompatible // serialization
  private void readObject(ObjectInputStream stream) throws IOException, ClassNotFoundException {
    stream.defaultReadObject();

  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(config, ret));
  return ret;

                      &FloatDeallocator, nullptr);
}

// All the *Helper methods are used as a workaround for the restrictions that
// one cannot call ASSERT_* methods in non-void-returning functions (when
// exceptions are disabled during compilation)
void PlaceholderHelper(TF_Graph* graph, TF_Status* s, const char* name,
                       TF_DataType dtype, const std::vector<int64_t>& dims,
                       TF_Operation** op) {

from typing import List, Union

import pytest
from fastapi import FastAPI
from fastapi.exceptions import FastAPIError, ResponseValidationError
from fastapi.responses import JSONResponse, Response
from fastapi.testclient import TestClient
from pydantic import BaseModel


class BaseUser(BaseModel):
    name: str


class User(BaseUser):
    surname: str


class DBUser(User):
    password_hash: str

				}
			}
			return returnError
		},
	}

	analysisCmd.PersistentFlags().BoolVarP(&listAnalyzers, "list-analyzers", "L", false,
		"List the analyzers available to run. Suppresses normal execution.")
	analysisCmd.PersistentFlags().BoolVarP(&useKube, "use-kube", "k", true,
		"Use live Kubernetes cluster for analysis. Set --use-kube=false to analyze files only.")

                             serialized_update.size(), status);
  EXPECT_NE(TF_OK, TF_GetCode(status)) << TF_Message(status);

  // Even after the prevoiusly failed cluster update, another update and op
  // execution should work fine as long as the provided server_def is valid.
  TFE_ContextUpdateServerDef(ctx, 0, serialized.data(), serialized.size(),
                             status);

                            Severity.ERROR,
                            Version.V20,
                            prefix + prefix2 + "[" + plugin.getKey() + "].executions.execution.id",
                            null,
                            "must be unique but found duplicate execution with id " + exec.getId(),
                            exec);
                }
            }
        }
    }

    @Override