From 99760f372bfdb1c19c0f85672fa0111b15d3fbbf Mon Sep 17 00:00:00 2001
From: Ivan Vilata-i-Balaguer <ivan@selidor.net>
Date: Mon, 11 Dec 2023 13:56:21 +0100
Subject: [PATCH] Example: Use custom function for more compact print calls.

---
 examples/blosc2_optimized_slicing.py | 25 +++++++++++++------------
 1 file changed, 13 insertions(+), 12 deletions(-)

diff --git a/examples/blosc2_optimized_slicing.py b/examples/blosc2_optimized_slicing.py
index 8836b38..1af4a06 100644
--- a/examples/blosc2_optimized_slicing.py
+++ b/examples/blosc2_optimized_slicing.py
@@ -49,6 +49,10 @@
 file_name = 'b2nd-example.h5'
 dataset_name = 'data'
 
+
+def printl(*args, **kwargs):
+    print(*args, **kwargs, sep='\n')
+
 # Creating a Blosc2-compressed dataset
 # ------------------------------------
 with h5py.File(file_name, 'w') as f:
@@ -71,15 +75,13 @@
     # One just uses slicing as usual.
     dataset = f[dataset_name]
     # Slices with step == 1 may be optimized.
-    print("Contiguous slice from dataset (optimized):", dataset[150:, 150:],
-          sep='\n')
-    print("Contiguous slice from input array:", data[150:, 150:], sep='\n')
+    printl("Contiguous slice from dataset (optimized):", dataset[150:, 150:])
+    printl("Contiguous slice from input array:", data[150:, 150:])
     # Slices with step != 1 (or with datasets of a foreign endianness)
     # are not optimized, but still work
     # (via the HDF5 filter pipeline and hdf5plugin).
-    print("Sparse slice from dataset (filter):", dataset[150::2, 150::2],
-          sep='\n')
-    print("Sparse slice from input array:", data[150::2, 150::2], sep='\n')
+    printl("Sparse slice from dataset (filter):", dataset[150::2, 150::2])
+    printl("Sparse slice from input array:", data[150::2, 150::2])
     print()
 
 # Disabling Blosc2 optimized slicing
@@ -92,8 +94,8 @@
     b2h5py.unpatch_dataset_class()
     assert(not b2h5py.is_dataset_class_patched())
     dataset = f[dataset_name]
-    print("Slice from dataset (filter):", dataset[150:, 150:], sep='\n')
-    print("Slice from input array:", data[150:, 150:], sep='\n')
+    printl("Slice from dataset (filter):", dataset[150:, 150:])
+    printl("Slice from input array:", data[150:, 150:])
     b2h5py.patch_dataset_class()  # back to normal
     assert(b2h5py.is_dataset_class_patched())
     print()
@@ -108,11 +110,10 @@
     b2h5py.unpatch_dataset_class()
     assert(not b2h5py.is_dataset_class_patched())
     dataset = f[dataset_name]
-    print("Slice from dataset (filter):", dataset[150:, 150:], sep='\n')
+    printl("Slice from dataset (filter):", dataset[150:, 150:])
     with b2h5py.patching_dataset_class():
         assert(b2h5py.is_dataset_class_patched())
-        print("Slice from dataset (optimized):", dataset[150:, 150:],
-              sep='\n')
+        printl("Slice from dataset (optimized):", dataset[150:, 150:])
     assert(not b2h5py.is_dataset_class_patched())
-    print("Slice from input array:", data[150:, 150:], sep='\n')
+    printl("Slice from input array:", data[150:, 150:])
     print()