Updated docstrings for Pt Arange and Pt Linspace.

docs/reference/node_reference.md

@@ -123,9 +123,7 @@
 ## Miscellaneous
 | Node | Description |
 | --- | --- |
-| [Pt Arange](pt_arange.md) | Creates a PyTorch tensor using `torch.arange` with the specified start, end, and step values. |
 | [Pt Flatten](pt_flatten.md) | Flattens a PyTorch tensor into a 1D tensor. |
-| [Pt Linspace](pt_linspace.md) | Creates a PyTorch tensor using `torch.arange` with the specified start, end, and steps values. |
 ## Numpy
 | Node | Description |
 | --- | --- |
@@ -237,6 +235,7 @@
 ## PyTorch wrapper - Tensor creation
 | Node | Description |
 | --- | --- |
+| [Pt Arange](pt_arange.md) | Creates a PyTorch tensor using `torch.arange` with the specified start, end, and step values. |
 | [Pt Bool Create](pt_bool_create.md) | Creates a PyTorch tensor of dtype bool from True or False values entered as a list in the text field. |
 | [Pt Float Create](pt_float_create.md) | Creates a PyTorch tensor with 32-bit floating point precision  |
 | [Pt From Image](pt_from_image.md) | Casts an Image tensor as a PyTorch tensor. |
@@ -244,6 +243,7 @@
 | [Pt From Numpy](pt_from_numpy.md) | Converts a NumPy ndarray to a PyTorch tensor while preserving its data type. |
 | [Pt Full](pt_full.md) | Creates a PyTorch tensor filled with a specified value using the size entered in the text field. |
 | [Pt Int Create](pt_int_create.md) | Creates a PyTorch tensor with 32-bit integer  |
+| [Pt Linspace](pt_linspace.md) | Creates a PyTorch tensor using `torch.arange` with the specified start, end, and steps values. |
 | [Pt Ones](pt_ones.md) | Creates a PyTorch tensor of ones using the size entered in the text field. |
 | [Pt Rand](pt_rand.md) | Creates a PyTorch tensor with values sampled from a uniform distribution  |
 | [Pt Rand Int](pt_rand_int.md) | Creates a PyTorch tensor filled with random integers within a specified range using the size entered in the text field. |

docs/reference/pt_arange.md

@@ -4,8 +4,6 @@ Creates a PyTorch tensor using `torch.arange` with the specified start, end, and
 The values are parsed from string inputs and converted to numeric types. This allows users to specify
 tensor range values in text fields. The function also ensures proper dtype selection.
 
-Category: PyTorch wrapper - Tensor creation
-
 ## Input
 | Name | Data type |
 |---|---|
@@ -20,6 +18,6 @@ Category: PyTorch wrapper - Tensor creation
 | Tensor |
 
 <HR>
-Category: Miscellaneous
+Category: PyTorch wrapper - Tensor creation
 
 ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

docs/reference/pt_linspace.md

@@ -4,8 +4,6 @@ Creates a PyTorch tensor using `torch.arange` with the specified start, end, and
 The start and end values are parsed from string inputs and converted to a float.
 The steps value is converted to an int.
 
-Category: PyTorch wrapper - Tensor creation
-
 ## Input
 | Name | Data type |
 |---|---|
@@ -20,6 +18,6 @@ Category: PyTorch wrapper - Tensor creation
 | Tensor |
 
 <HR>
-Category: Miscellaneous
+Category: PyTorch wrapper - Tensor creation
 
 ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

modules/pytorch_wrapper/pt_arange.py

@@ -17,7 +17,7 @@ class PtArange:
     The values are parsed from string inputs and converted to numeric types. This allows users to specify
     tensor range values in text fields. The function also ensures proper dtype selection.
 
-    Category: PyTorch wrapper - Tensor creation
+    category: PyTorch wrapper - Tensor creation
     """
 
     @classmethod

modules/pytorch_wrapper/pt_linspace.py

@@ -17,7 +17,7 @@ class PtLinspace:
     The start and end values are parsed from string inputs and converted to a float.
     The steps value is converted to an int.
 
-    Category: PyTorch wrapper - Tensor creation
+    category: PyTorch wrapper - Tensor creation
     """
 
     @classmethod