(docs) further updates to the documentation page

Author: amkrajewski

docs/docs.nim

@@ -241,6 +241,7 @@
 ##         - **I**: Internal grid (only points inside the simplex)
 ##         - **R**: Random/Monte Carlo uniform sampling over simplex.
 ##         - **G**: Graph (list of grid nodes and list of their neighbors)
+##         - **L**: Limited graph (list of grid nodes and list of their neighbors with limits)
 ##     2. Fractional or Integer positions:
 ##         - **F**: Fractional grid/graph (points are normalized to fractions of 1)
 ##         - **I**: Integer grid/graph (points are integers)
@@ -251,8 +252,14 @@
 ##              optionally a custom path as an additonal argument)
 ## - **Simplex Dimensions / N of Components**: An integer number of components in the simplex space.
 ## - **N Divisions per Dimension / N of Samples**: An integer number of either:
-##     1. Divisions per each simplex dimension for grid or graph tasks (F/I/G__)
+##     1. Divisions per each simplex dimension for grid or graph tasks (F/I/G/L__)
 ##     2. Number of samples for random sampling tasks (R__)
+## - **(for limited graphs only) Limits**: A string list of pairs of either integers or floats, depending on the grid type specified by the second letter of 
+##   the configuration string. Each pair represents the minimum and maximum values for each simplex dimension. The number of pairs must match the 
+##   number of simplex dimensions. You can use `[`, `{`, or `@[` for the list. E.g., `[[0, 1],[0,0.555],[0.222,0.888]]` for fractional grid limits
+##   or `{{0,12},{2,10},{3,9}}` for integer grid limits. Setting the limits to less than 0 or greater than 1/nDiv will pass with a warning, but will
+##   not throw an error. The integer limits are exactly inclusive, while the fractional limits inclusive of the *closeset* grid point, i.e. max limit of 
+##   0.660 will let 1/3=0.667 pass for low resolution grids, but not high resolution ones.
 ## - **(optional) NumPy Array Output Filename**: A custom path to the output NumPy array file (only for __N tasks).
 ## 
 ## For instance, to generate a 3-dimensional internal fractional grid with 10 divisions per dimension and persist it to a NumPy array file, you can run: