code: def log1p(data, copy=False):
      
      adata = data.copy() if copy else data
      X = (adata.X.data if issparse(adata.X) else adata.X) if isinstance(adata, AnnData) else adata
      np.log1p(X, out=X)
      return adata if copy else None
docs: Logarithmize the data matrix.
      Computes :math:`X = \\log(X + 1)`, where :math:`log` denotes the natural logarithm.
      Parameters
      ----------
      data: :class:`~anndata.AnnData`
          Annotated data matrix.
      copy: `bool` (default: `False`)
          Return a copy of `adata` instead of updating it.
      Returns
      -------
      Returns or updates `adata` depending on `copy`.