Learn_graph error Error: colnames(cds)!=names(cds@clusters[[reduction_method]]$partitions)

[coraolpe]

Hi, I am trying to do a pseudo time analysis using monocle3 after having imported my data with the Seurat-wrappers.
I am essentially following this: https://rpubs.com/mahima_bose/Seurat_and_Monocle3_p
Here is my code:
`monocle_data_raw <- as.cell_data_set(three_plates_nocellcycle)

#checking the metadata
head(colData(monocle_data_raw))
#Looks good

#Now get feature/gene metadata
fData(monocle_data_raw)
#Gives me: DataFrame with 19261 rows and 0 columns

#Now check rownames
rownames(fData(monocle_data_raw))[1:10]

#Gives me: [1] "0610005C13Rik" "0610009B22Rik" "0610009E02Rik" "0610009L18Rik" "0610010F05Rik"
#[6] "0610010K14Rik" "0610012G03Rik" "0610030E20Rik" "0610040B10Rik" "1110002J07Rik"

#Now do a dataframe with the gene names

fData(monocle_data_raw)$gene_short_name <- rownames(fData(monocle_data_raw))

head(fData(monocle_data_raw))

#Gives me: DataFrame with 6 rows and 1 column
#gene_short_name
#
#0610005C13Rik 0610005C13Rik
#0610009B22Rik 0610009B22Rik
#0610009E02Rik 0610009E02Rik
#0610009L18Rik 0610009L18Rik
#0610010F05Rik 0610010F05Rik
#0610010K14Rik 0610010K14Rik

#Get counts
head(counts(monocle_data_raw))

#Gives a load of genes and counts

#Now: IMPORTANT! Retrieve clustering information from Seurat object!!!!

#1. Assign partitions
recreate.partitions <- c(rep(1, length(monocle_data_raw@colData@rownames)))
names(recreate.partitions) <- as.factor(recreate.partitions)
recreate.partitions

monocle_data_raw@clusters@listData[["UMAP"]][["partitions"]] <- recreate.partitions

#Assign cluster info
list.cluster <- [email protected]
monocle_data_raw@clusters@listData[["UMAP"]][["clusters"]] <- list.cluster

#Assign UMAP coordinates
monocle_data_raw@int_colData@listData[["reducedDims"]]@ListData[["UMAP"]] <- three_plates_nocellcycle@reductions$[email protected]

#Now Learn Trajectory

monocle_data_raw <- learn_graph(monocle_data_raw, use_partition = F)
`

This is where I get this error:
Error: colnames(cds)!=names(cds@clusters[[reduction_method]]$partitions)