doc improvement

Author: Julien Roussel

HISTORY.rst

@@ -2,12 +2,16 @@
 History
 =======
 
-0.1.10 (2024-??-??)
+0.1.11 (2025-12-30)
+------------------
+* PLKM test implemented and documented in the holes_characterization module
+
+0.1.10 (2025-08-30)
 ------------------
 * Long EM and RPCA operations wrapped with tqdm progress bars
 * Readme code sample updated, and results table made consistent
 
-0.1.9 (2024-08-29)
+0.1.9 (2025-08-29)
 ------------------
 * Tutorials reproducibility improved with random_state parameters
 * RPCA now accepts random_state parameters

examples/tutorials/plot_tuto_mcar.py

@@ -231,33 +231,43 @@
 #
 
 # %%
-
-"""
-Calculation time
-================
-
-+------------+------------+----------------------+
-| **n_rows** | **n_cols** | **Calculation_time**  |
-+============+============+======================+
-| 200        | 2          | 2"12                 |
-+------------+------------+----------------------+
-| 500        | 2          | 2"24                 |
-+------------+------------+----------------------+
-| 500        | 4          | 2"18                 |
-+------------+------------+----------------------+
-| 1000       | 4          | 2"48                 |
-+------------+------------+----------------------+
-| 1000       | 6          | 2"42                 |
-+------------+------------+----------------------+
-| 10000      | 6          | 20"54                |
-+------------+------------+----------------------+
-| 10000      | 10         | 14"48                |
-+------------+------------+----------------------+
-| 100000     | 10         | 4'51"                |
-+------------+------------+----------------------+
-| 100000     | 15         | 3'06"                |
-+------------+------------+----------------------+
-"""
+# Calculation time
+# ================
+#
+# .. list-table::
+#    :header-rows: 1
+#    :widths: 15 15 25
+#
+#    * - **n_rows**
+#      - **n_cols**
+#      - **Calculation time**
+#    * - 200
+#      - 2
+#      - 2"12
+#    * - 500
+#      - 2
+#      - 2"24
+#    * - 500
+#      - 4
+#      - 2"18
+#    * - 1000
+#      - 4
+#      - 2"48
+#    * - 1000
+#      - 6
+#      - 2"42
+#    * - 10000
+#      - 6
+#      - 20"54
+#    * - 10000
+#      - 10
+#      - 14"48
+#    * - 100000
+#      - 10
+#      - 4'51"
+#    * - 100000
+#      - 15
+#      - 3'06"
 
 # %%
 # 2.1 Parameters and Hyperparameters
@@ -390,18 +400,3 @@
 # As a result, by removing the missing patterns induced by variable 2, the p-value rises
 # above the significance threshold set beforehand. Thus in this sense, the test detects that the
 # main culprit of the MAR mechanism lies in the second variable.
-
-
-# %%
-# Calculation time -> TO BE DELETED
-# | **n_rows** | **n_cols** | **Calculation_time** |
-# |------------|------------|----------------------|
-# | 200        | 2          | 2"12                 |
-# | 500        | 2          | 2"24                 |
-# | 500        | 4          | 2"18                 |
-# | 1000       | 4          | 2"48                 |
-# | 1000       | 6          | 2"42                 |
-# | 10000      | 6          | 20"54                |
-# | 10000      | 10         | 14"48                |
-# | 100000     | 10         | 4'51"                |
-# | 100000     | 15         | 3'06"                |

qolmat/utils/utils.py

@@ -414,12 +414,10 @@ def _parallel_with_seeds_and_list(
             Seed or random state for reproducibility.
 
     """
-    print("_parallel_with_seeds_and_list called with seed:", random_state)
     n_runs = len(args)
     rng = sku.check_random_state(random_state)
     ss = np.random.SeedSequence(rng.randint(0, 2**32))
     child_seeds = ss.spawn(n_runs)
     seeds = [np.random.default_rng(s).integers(0, 2**32) for s in child_seeds]
-    print("Generated seeds:", seeds)
 
     return Parallel(n_jobs=-1)(delayed(func)(seed, **arg) for seed, arg in zip(seeds, args))