chore: Add debug logging

predict_chromosome.py

@@ -1,6 +1,7 @@
 import os
 import sys
 import argparse
+from logging import getLogger
 import pandas as pd
 import numpy as np
 import time
@@ -8,6 +9,8 @@ from tqdm import tqdm
 from tensorflow.keras.models import model_from_json
 from scipy.sparse import csr_matrix, triu
 
+logger = getLogger(__name__)
+
 
 def anchor_list_to_dict(anchors):
     anchor_dict = {}
@@ -133,6 +136,8 @@ def predict_and_write(
         names=["chr", "start", "end", "anchor"],
     )  # read anchor list file
     start_time = time.time()
+    print("anchor file")
+    print(os.path.join(full_matrix_dir, input_name))
     chr_anchor_file = pd.read_csv(
         os.path.join(full_matrix_dir, input_name),
         delimiter="\t",
@@ -169,8 +174,11 @@ def predict_and_write(
         cols = np.vectorize(anchor_to_locus(anchor_dict))(
             chr_tile["anchor2"].values
         )  # convert anchor names to column indices
+        print(chr_tile)
+        logger.debug(chr_tile)
         sparse_matrix = csr_matrix(
-            (chr_tile["ratio"], (rows, cols)), shape=(anchor_step, anchor_step)
+            (chr_tile["ratio"], (rows, cols)),
+            shape=(anchor_step, anchor_step),
         )  # construct sparse CSR matrix
 
         sparse_denoised_tile = sparse_prediction_from_file(