Please explain project_cell_annotations

[atharva-bhagwat]

df = one_hot_encoding(adata_map.obs[annotation])
if "F_out" in adata_map.obs.keys():
    df_ct_prob = adata_map[adata_map.obs["F_out"] > threshold]

df_ct_prob = adata_map.X.T @ df
df_ct_prob.index = adata_map.var.index

The output of the function does not change if F_out is present in adata_map.obs.keys() or not.
I am having trouble understanding what is happening here. Thanks!

Edit:
As we filter based on the threshold would this be the correct way to calculate tangram_ct_pred

df = one_hot_encoding(adata_map.obs[annotation])
if "F_out" in adata_map.obs.keys():
    df_ct_prob = adata_map[adata_map.obs["F_out"] > threshold]
    df = one_hot_encoding(adata_map[adata_map.obs["F_out"] > threshold].obs[annotation])
    df_ct_prob = df_ct_prob.X.T @ df
else:
    df_ct_prob = adata_map.X.T @ df

df_ct_prob.index = adata_map.var.index