fixed docs links

Author: dyumanaditya

docs/source/tutorials/advanced_tutorial.rst

@@ -5,7 +5,7 @@ In this tutorial, we will look at how to run PyReason with a more
 complex graph.
 
 .. note:: 
-   Find the full, excecutable code `here <https://github.com/lab-v2/pyreason/blob/docs/examples/advanced_graph_ex.py>`_
+   Find the full, executable code `here <https://github.com/lab-v2/pyreason/blob/main/examples/advanced_graph_ex.py>`_
 
 Graph
 ------------
@@ -93,7 +93,7 @@ Expected Output
 Below is the expected output at timestep ``0``
 
 .. note::
-   Find the full expected output `here <https://github.com/lab-v2/pyreason/blob/docs/examples/advanced_output.txt>`_
+   Find the full expected output `here <https://github.com/lab-v2/pyreason/blob/main/examples/advanced_output.txt>`_
 
 .. code:: text
    

docs/source/tutorials/annotation_function.rst

@@ -5,7 +5,7 @@ In this tutorial, we will look at use annotation functions in PyReason.
 Read more about annotation functions `here <https://pyreason--60.org.readthedocs.build/en/60/user_guide/3_pyreason_rules.html#annotation-functions>`_. 
 
 .. note::
-    Find the full, excecutable code for both annotation functions `here <https://github.com/lab-v2/pyreason/blob/docs/examples/annotation_function_ex.py>`_
+    Find the full, excecutable code for both annotation functions `here <https://github.com/lab-v2/pyreason/blob/main/examples/annotation_function_ex.py>`_
 
 
 Average Annotation Function Example

docs/source/tutorials/basic_tutorial.rst

@@ -6,7 +6,7 @@ demonstrates some of the capabilities of the software. If this is your
 first time looking at the software, you’re in the right place.
 
 .. note:: 
-   Find the full, excecutable code `here <https://github.com/lab-v2/pyreason/blob/docs/examples/basic_tutorial_ex.py>`_
+   Find the full, executable code `here <https://github.com/lab-v2/pyreason/blob/main/examples/basic_tutorial_ex.py>`_
 
 The following graph represents a network of people and the pets that
 they own.

docs/source/tutorials/custom_thresholds.rst

@@ -6,7 +6,7 @@ In this tutorial, we will look at how to run PyReason with Custom Thresholds.
 Custom Thresholds are parameters in the :ref:`Rule Class <pyreason_rules>`. 
 
 .. note::
-    Find the full, excecutable code `here <https://github.com/lab-v2/pyreason/blob/docs/examples/custom_threshold_ex.py>`_
+    Find the full, excecutable code `here <https://github.com/lab-v2/pyreason/blob/main/examples/custom_threshold_ex.py>`_
 
 The following graph represents a network of People and a Text Message in their group chat.
 

docs/source/tutorials/infer_edges.rst

@@ -6,7 +6,7 @@ infer edges is a parameter in the :ref:`Rule Class <pyreason_rules>`.
 
 
 .. note::
-    Find the full, excecutable code `here <https://github.com/lab-v2/pyreason/blob/docs/examples/infer_edges_ex.py>`_
+    Find the full, excecutable code `here <https://github.com/lab-v2/pyreason/blob/main/examples/infer_edges_ex.py>`_
 
 The following graph represents a network of airports and connections.
 
@@ -55,7 +55,7 @@ First, we create the graph in Networkx. This graph has airports and flight conne
 
     G.add_edges_from(edges)
 
-We can also load the graph from a GraphML `file <https://github.com/lab-v2/pyreason/blob/docs/tests/knowledge_graph_test_subset.graphml>`_ 
+We can also load the graph from a GraphML `file <https://github.com/lab-v2/pyreason/blob/main/tests/knowledge_graph_test_subset.graphml>`_
 
 We then initialize and load the graph using the following code: