OME-ZARR Progress bar

Omezarr progress bar is now working using estimation of number of chunks based on their shapes The actual number of files and estimation might differ a little bit

Progress bar is now an abstract class from which other progress bars will inherit. Now we only have to define what to pass to tqdm and how to check updates. Timer and context manager are already there

Loading a file has been changed to this new version of progress bar

qim3d/io/ome_zarr.py

@@ -83,6 +83,7 @@ def export_ome_zarr(
     order=0,
     replace=False,
     method="scaleZYX",
+    progress_bar:bool = True,
 ):
     """
     Export image data to OME-Zarr format with pyramidal downsampling.
@@ -96,7 +97,7 @@ def export_ome_zarr(
         downsample_rate (int, optional): Factor by which to downsample the data for each scale. Must be greater than 1. Defaults to 2.
         order (int, optional): Interpolation order to use when downsampling. Defaults to 0 (nearest-neighbor).
         replace (bool, optional): Whether to replace the existing directory if it already exists. Defaults to False.
-
+        progress_bar (bool, optional): Whether to display progress while writing data to disk. Defaults to True.
     Raises:
         ValueError: If the directory already exists and `replace` is False.
         ValueError: If `downsample_rate` is less than or equal to 1.
@@ -149,19 +150,23 @@ def export_ome_zarr(
     mip, axes = _create_mip(image=data, fmt=fmt, scaler=scaler, axes="zyx")
 
     log.info("Writing data to disk")
-    n_chunks = get_n_chunks(
-        shapes = (scaled_data.shape for scaled_data in mip),
-        dtypes = (scaled_data.dtype for scaled_data in mip))
-    
-    with OmeZarrExportProgressBar(path = path, n_chunks = n_chunks, reapeat_time=5):
-        write_multiscale(
-            mip,
+    kwargs  = dict(
+            pyramid=mip,
             group=root,
             fmt=fmt,
             axes=axes,
             name=None,
             compute=True,
         )
+    if progress_bar:
+        n_chunks = get_n_chunks(
+            shapes = (scaled_data.shape for scaled_data in mip),
+            dtypes = (scaled_data.dtype for scaled_data in mip)
+            )
+        with OmeZarrExportProgressBar(path = path, n_chunks = n_chunks, reapeat_time=5):
+            write_multiscale(**kwargs)
+    else:
+        write_multiscale(**kwargs)
 
     log.info("All done!")
     return