long vectors not supported

[GangLiTarheel]

Hi,
I have successfully run psupertime on multiple datasets, but I met a weird error for a new dataset:

cross-validation training, 5 folds:
    fold 1
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  long vectors (argument 5) are not supported in .Fortran
Calls: psupertime ... .train_on_folds -> .glmnetcr_propn -> glmnet -> lognet
In addition: Warning messages:
1: In if (!(class(x) %in% c("SingleCellExperiment", "matrix", "dgCMatrix",  :
  the condition has length > 1 and only the first element will be used
2: In if (class(x) == "SingleCellExperiment") { :
  the condition has length > 1 and only the first element will be used
3: In .check_x(x, y, assay_type) :
  x has no colnames; giving arbitrary colnames
4: In if (class(x) == "SingleCellExperiment") { :
  the condition has length > 1 and only the first element will be used
5: In if (class(x) %in% c("matrix", "dgCMatrix", "dgCMatrix")) { :
  the condition has length > 1 and only the first element will be used
6: In if (class(x) == "SingleCellExperiment") { :
  the condition has length > 1 and only the first element will be used
7: In if (class(x) %in% c("matrix", "dgCMatrix", "dgRMatrix", "dgTMatrix")) { :
  the condition has length > 1 and only the first element will be used
Execution halted

My code:
psuper_sci_rna = psupertime(sci_rna_log, time_order, sel_genes='all')

I did a quick search. Is it relates to the # of cells in the data? Can psupertime scale to 10k,100k, or 1 million cells?

Best,
Gang