From 38c24b0f3c0800d48c3bbad283eb416a96963ed9 Mon Sep 17 00:00:00 2001
From: AdityaBITMESRA <adityapand3y666@gmail.com>
Date: Mon, 19 Aug 2024 00:41:53 +0530
Subject: [PATCH] refactore docstrings

---
 pyneuroml/swc/ExportNML.py | 25 +++----------------------
 1 file changed, 3 insertions(+), 22 deletions(-)

diff --git a/pyneuroml/swc/ExportNML.py b/pyneuroml/swc/ExportNML.py
index b60b6ae5..b3ef60a4 100644
--- a/pyneuroml/swc/ExportNML.py
+++ b/pyneuroml/swc/ExportNML.py
@@ -1,9 +1,8 @@
 import logging
 import tempfile
-from typing import Dict, List, Optional, Set
+from typing import List
 
 import neuroml.writers as writers
-from LoadSWC import SWCGraph, SWCNode, load_swc
 from neuroml import (
     Cell,
     Member,
@@ -15,6 +14,8 @@
 )
 from neuroml.nml.nml import Point3DWithDiam, SegmentParent
 
+from .LoadSWC import SWCGraph, SWCNode
+
 logging.basicConfig(
     level=logging.DEBUG,
     format="%(asctime)s - %(levelname)s - %(message)s",
@@ -521,26 +522,6 @@ def create_segment_groups(self) -> None:
 
         logger.info("Segment groups created successfully")
 
-    def print_soma_segments(self) -> None:
-        """
-        Print information about the soma segments for debugging purposes.
-        """
-        logger.info("Printing soma segments:")
-        for segment in self.cell.morphology.segments:
-            if self.segment_types.get(segment.id) == SWCNode.SOMA:
-                print(f"Soma Segment ID: {segment.id}")
-                print(f"  Name: {segment.name}")
-                if segment.proximal:
-                    print(
-                        f"  Proximal: x={segment.proximal.x}, y={segment.proximal.y}, z={segment.proximal.z}, diameter={segment.proximal.diameter}"
-                    )
-                print(
-                    f"  Distal: x={segment.distal.x}, y={segment.distal.y}, z={segment.distal.z}, diameter={segment.distal.diameter}"
-                )
-                if segment.parent:
-                    print(f"  Parent Segment ID: {segment.parent.segments}")
-                print()
-
     def export_to_nml_file(self, filename: str) -> None:
         """
         Export the NeuroML representation to a file.