)
    }
    add(FirErrors.NON_PUBLIC_CALL_FROM_PUBLIC_INLINE) { firDiagnostic ->
        NonPublicCallFromPublicInlineImpl(
            firSymbolBuilder.buildSymbol(firDiagnostic.a),
            firSymbolBuilder.buildSymbol(firDiagnostic.b),
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.NON_PUBLIC_CALL_FROM_PUBLIC_INLINE_DEPRECATION) { firDiagnostic ->

    ::tensorflow::Status _s(__VA_ARGS__);                         \
    if (!TF_PREDICT_TRUE(_s.ok())) {                              \
      ::tensorflow::Set_TF_Status_from_Status(C_STATUS, _s);      \
      TF_OpKernelContext_Failure(CTX, C_STATUS);                  \
      TF_DeleteStatus(C_STATUS);                                  \
      return;                                                     \

# Find the location of this exact file.
_current_file_location = _inspect.getfile(_inspect.currentframe())

def _running_from_pip_package():
  return any(
      _current_file_location.startswith(dir_) for dir_ in _site_packages_dirs)

if _running_from_pip_package():
  # TODO(gunan): Add sanity checks to loaded modules here.

  # Load first party dynamic kernels.

@asynccontextmanager
async def contextmanager_in_threadpool(
    cm: ContextManager[_T],
) -> AsyncGenerator[_T, None]:
    # blocking __exit__ from running waiting on a free thread
    # can create race conditions/deadlocks if the context manager itself
    # has its own internal pool (e.g. a database connection pool)
    # to avoid this we let __exit__ run without a capacity limit

	State     string  `json:"state"`
	CertChain []*Cert `json:"cert_chain"`
}

type Cert struct {
	Pem            string `json:"pem"`
	SerialNumber   string `json:"serial_number"`
	ValidFrom      string `json:"valid_from"`
	ExpirationTime string `json:"expiration_time"`

     * this event means that the artifactScope has NOT been updated to a farther node artifactScope because current
     * node is in the first level pom
     */
    int UPDATE_SCOPE_CURRENT_POM = 9;

    int SELECT_VERSION_FROM_RANGE = 10;

    int RESTRICT_RANGE = 11;

    int MANAGE_ARTIFACT_VERSION = 12;

    int MANAGE_ARTIFACT_SCOPE = 13;

    int MANAGE_ARTIFACT_SYSTEM_PATH = 14;

    void testArtifact(Artifact node);

            isinstance(field_info, params.Param)
            and getattr(field_info, "in_", None) is None
        ):
            field_info.in_ = params.ParamTypes.query
        use_annotation_from_field_info = get_annotation_from_field_info(
            use_annotation,
            field_info,
            param_name,
        )
        if not field_info.alias and getattr(field_info, "convert_underscores", None):

errors.failed_to_change_password=Failed to change your password.
errors.unknown_version_for_upgrade=Unknown version information.
errors.failed_to_upgrade_from=Failed to upgrade from {0}: {1}
errors.failed_to_reindex=Failed to start reindexing from {0} to {1}
errors.failed_to_read_request_file=Failed to read request file: {0}
errors.invalid_header_for_request_file=Invalid header: {0}

 * challenges, we prefer to use the same physical connection for all streams in the sequence. There
 * are potential performance and behavior consequences to this preference. To support this feature,
 * this class separates _allocations_ from _streams_. An allocation is created by a call, used for
 * one or more streams, and then released. An allocated connection won't be stolen by other calls
 * while a redirect or authorization challenge is being handled.
 *

# Find the location of this exact file.
_current_file_location = _inspect.getfile(_inspect.currentframe())

def _running_from_pip_package():
  return any(
      _current_file_location.startswith(dir_) for dir_ in _site_packages_dirs)

if _running_from_pip_package():
  # TODO(gunan): Add sanity checks to loaded modules here.

  # Load first party dynamic kernels.