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Function create_test_anndata

src/memory/processing/diffexp/mod.rs:1086–1158  ·  view source on GitHub ↗
()

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1084 use polars::prelude::{DataFrame, NamedFrom, Series};
1085
1086 fn create_test_anndata() -> anyhow::Result<IMAnnData> {
1087 let rows: Vec<usize> = vec![
1088 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2,
1089 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
1090 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7,
1091 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9,
1092 9, 9, 9, 9,
1093 ];
1094
1095 let cols: Vec<usize> = vec![
1096 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 0, 1, 2, 3,
1097 4, 5, 6, 7, 8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 6, 7,
1098 8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
1099 11, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 0, 1,
1100 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
1101 ];
1102
1103 let vals: Vec<f32> = vec![
1104 10.0, 10.2, 9.8, 10.5, 10.3, 9.7, 1.0, 1.2, 0.8, 1.1, 0.9, 1.3, 12.0, 11.8, 12.2, 11.5,
1105 12.5, 11.7, 1.5, 1.7, 1.3, 1.6, 1.4, 1.8, 11.0, 11.3, 10.7, 11.2, 10.8, 11.4, 1.2, 1.1,
1106 1.3, 0.9, 1.4, 1.0, 1.5, 1.3, 1.7, 1.4, 1.8, 1.2, 8.0, 8.2, 7.8, 8.5, 7.7, 8.3, 1.8,
1107 1.6, 2.0, 1.5, 1.9, 1.7, 9.0, 8.8, 9.2, 8.7, 9.3, 8.9, 1.2, 1.4, 1.0, 1.3, 0.9, 1.1,
1108 7.5, 7.7, 7.3, 7.8, 7.2, 7.9, 5.0, 5.2, 4.8, 5.1, 4.9, 5.3, 5.1, 4.9, 5.3, 4.7, 5.2,
1109 5.0, 4.7, 4.5, 4.9, 4.6, 5.0, 4.8, 4.8, 5.0, 4.6, 4.9, 4.7, 5.1, 5.2, 5.0, 5.4, 4.8,
1110 5.3, 5.1, 5.0, 5.2, 4.8, 5.3, 4.9, 5.1, 3.0, 3.2, 2.8, 3.1, 2.9, 3.3, 3.2, 2.8, 3.4,
1111 2.9, 3.3, 3.1,
1112 ];
1113
1114 let coo = CooMatrix::try_from_triplets(10, 12, rows, cols, vals).unwrap();
1115 let csr = CsrMatrix::from(&coo);
1116
1117 let mut obs_df = DataFrame::default();
1118 let names: Vec<String> = vec![
1119 "c1".into(),
1120 "c2".into(),
1121 "c3".into(),
1122 "c4".into(),
1123 "c5".into(),
1124 "c6".into(),
1125 "c7".into(),
1126 "c8".into(),
1127 "c9".into(),
1128 "c10".into(),
1129 ];
1130 let index_col = Series::new("index".into(), names.clone());
1131 let group_labels = Series::new(
1132 "group".into(),
1133 vec!["A", "A", "A", "A", "A", "B", "B", "B", "B", "B"],
1134 );
1135 obs_df.with_column(index_col)?;
1136 obs_df.with_column(group_labels)?;
1137
1138 let mut var_df = DataFrame::default();
1139 let g_names: Vec<String> = vec![
1140 "gene0".into(),
1141 "gene1".into(),
1142 "gene2".into(),
1143 "gene3".into(),

Callers 4

test_basic_rank_genesFunction · 0.85
test_validate_resultsFunction · 0.85
test_mann_whitney_methodFunction · 0.85
test_edge_casesFunction · 0.85

Calls 1

cloneMethod · 0.80

Tested by 4

test_basic_rank_genesFunction · 0.68
test_validate_resultsFunction · 0.68
test_mann_whitney_methodFunction · 0.68
test_edge_casesFunction · 0.68