diverged docs

README.md

@@ -33,11 +33,12 @@ and see how it evolves. We can then use these results to inform business decisio
 * ##### [Tutorials](link)
 
 
-#### 0. Installation: Install Dependencies
+#### 0. Installation:
 
 **Option A:** Package Repository Access
 
-***IMPORTANT NOTE:*** Tokens are issued to and meant to be used by trial users and BlockScience employees **ONLY**. Replace \<TOKEN\> with an issued token in the script below.
+***IMPORTANT NOTE:*** Tokens are issued to and meant to be used by trial users and BlockScience employees **ONLY**. 
+Replace \<TOKEN\> with an issued token in the script below.
 ```bash
 pip3 install pandas pathos fn funcy tabulate 
 pip3 install cadCAD --extra-index-url https://<TOKEN>@repo.fury.io/blockscience/
@@ -55,7 +56,6 @@ pip3 install dist/*.whl
 
 #### 2. [Execute Simulations:](link)
 
-
 ##### Single Process Execution:
 Example [System Model Configurations](link): 
 * [System Model A](link): `/documentation/examples/sys_model_A.py`

documentation/Simulation_Configuration.md

@@ -7,7 +7,8 @@ Given a **Simulation Configuration**, cadCAD produces datasets that represent th
 
 A Simulation Configuration is comprised of a [System Model](#System-Model) and a set of [Simulation Properties](#Simulation-Properties)
 
-`append_configs`, stores a **Simulation Configuration** to be [Executed](/JS4Q9oayQASihxHBJzz4Ug) by cadCAD
+`append_configs`, stores a **Simulation Configuration** to be 
+[Executed](https://github.com/BlockScience/cadCAD-Tutorials/blob/master/Documentation/Simulation_Execution.md) by cadCAD
 
 ```python
 from cadCAD.configuration import append_configs
@@ -21,13 +22,20 @@ append_configs(
 ```
 Parameters:
 * **initial_state** : _dict_
+
     [State Variables](#State-Variables) and their initial values
+
 * **partial_state_update_blocks** : List[dict[dict]]
+
     List of [Partial State Update Blocks](#Partial-State-Update-Blocks)
+
 * **policy_ops** : List[functions]
-    See [Policy Aggregation](/63k2ncjITuqOPCUHzK7Viw) 
+
-* **sim_configs** : _???_
+    See [Policy Aggregation](https://github.com/BlockScience/cadCAD-Tutorials/blob/master/Documentation/Policy_Aggregation.md) 
-    See [System Model Parameter Sweep](/4oJ_GT6zRWW8AO3yMhFKrg)
+
+* **sim_configs** : 
+
+    See 
 
 ## Simulation Properties
 

documentation/System_Model_Parameter_Sweep.md

@@ -69,5 +69,5 @@ sim_config = config_sim(
 )
 ```
 
-#### [Example Configuration](link)
+#### [Example](link)
-#### [Example Results](link)
+

documentation/examples/historical_state_access.py

@@ -11,7 +11,6 @@ exclusion_list = ['nonexsistant', 'last_x', '2nd_to_last_x', '3rd_to_last_x', '4
 
 # Policies per Mechanism
 
-# WARNING: DO NOT delete elements from sH
 # state_history, target_field, psu_block_offset, exculsion_list
 def last_update(_g, substep, sH, s):
     return {"last_x": access_block(

documentation/examples/policy_aggregation.py

@@ -80,7 +80,7 @@ append_configs(
     sim_configs=sim_config,
     initial_state=genesis_states,
     partial_state_update_blocks=psubs,
-    policy_ops=[lambda a, b: a + b, lambda y: y * 2] # Default: lambda a, b: a + b
+    policy_ops=[lambda a, b: a + b] # Default: lambda a, b: a + b , lambda y: y * 2
 )
 
 exec_mode = ExecutionMode()

documentation/examples/sys_model_A.py

@@ -35,6 +35,9 @@ def s1m1(_g, step, sH, s, _input):
     y = 's1'
     x = s['s1'] + 1
     return (y, x)
+
+
+
 def s2m1(_g, step, sH, s, _input):
     y = 's2'
     x = _input['param2']