From ac6d210ce412aaf18983d46306ac7202ec7604bc Mon Sep 17 00:00:00 2001
From: Yasser Aleman Gomez <yasseraleman@gmail.com>
Date: Thu, 7 Mar 2024 16:48:57 +0100
Subject: [PATCH] Correcting the call to the misc module

---
 clabtoolkit/dicomtools.py        | 6 +++---
 clabtoolkit/parcellationtools.py | 6 +++---
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/clabtoolkit/dicomtools.py b/clabtoolkit/dicomtools.py
index 1189d57..a2c33cd 100755
--- a/clabtoolkit/dicomtools.py
+++ b/clabtoolkit/dicomtools.py
@@ -1,4 +1,4 @@
-import clabtoolkit as clt
+import clabtoolkit.misctools as cltmisc
 import os
 from glob import glob
 import subprocess
@@ -41,7 +41,7 @@ def _uncompress_dicom_session(dic_dir: str, subj_ids = None):
     for i, subj_id in enumerate(subj_ids):  # Loop along the IDs
         subj_dir = os.path.join(dic_dir, subj_id)
 
-        clt._printprogressbar(
+        cltmisc._printprogressbar(
             i + 1,
             nsubj,
             "Processing subject "
@@ -116,7 +116,7 @@ def _compress_dicom_session(dic_dir: str, subj_ids = None):
     for i, subj_id in enumerate(subj_ids):  # Loop along the IDs
         subj_dir = os.path.join(dic_dir, subj_id)
 
-        clt._printprogressbar(
+        cltmisc._printprogressbar(
             i + 1,
             nsubj,
             "Processing subject "
diff --git a/clabtoolkit/parcellationtools.py b/clabtoolkit/parcellationtools.py
index 469a978..13794b6 100644
--- a/clabtoolkit/parcellationtools.py
+++ b/clabtoolkit/parcellationtools.py
@@ -1,6 +1,6 @@
 import numpy as np
 import pandas as pd
-import clabtoolkit as clt
+import clabtoolkit.misctools as cltmisc
 
 
 def _parc_tsv_table(codes, names, colors, tsv_filename):
@@ -30,7 +30,7 @@ def _parc_tsv_table(codes, names, colors, tsv_filename):
     seg_hexcol = []
     nrows, ncols = colors.shape
     for i in np.arange(0, nrows):
-        seg_hexcol.append(clt.rgb2hex(colors[i, 0], colors[i, 1], colors[i, 2]))
+        seg_hexcol.append(cltmisc.rgb2hex(colors[i, 0], colors[i, 1], colors[i, 2]))
 
     tsv_df = pd.DataFrame(
         {
@@ -74,7 +74,7 @@ def tissue_seg_table(tsv_filename):
     seg_hexcol = []
     nrows, ncols = seg_rgbcol.shape
     for i in np.arange(0, nrows):
-        seg_hexcol.append(clt.rgb2hex(seg_rgbcol[i, 0], seg_rgbcol[i, 1], seg_rgbcol[i, 2]))
+        seg_hexcol.append(cltmisc.rgb2hex(seg_rgbcol[i, 0], seg_rgbcol[i, 1], seg_rgbcol[i, 2]))
 
     seg_df = pd.DataFrame(
         {