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+# Graphs
+
+## Definitions
+
+- All values are immutable
+- All values have a type. These are the types necessary to construct and
+  traverse graphs:
+
+    - Tuple
+        - Contains zero or more member values, each possibly of different types
+        - Size is finite and known upon creation
+
+    - Iterator
+        - Produces zero or more values in sequence, each being of the same type
+
+    - Bool
+        - Binary value, true or false
+
+    - Graph
+        - Unordered set of edges
+
+        - Edge
+            - Identified by a 2-tuple of (Vertex, Vertex), with each tuple being
+              unique within a graph
+            - Has exactly one attribute value attached
+
+        - Vertex
+            - Has ordered set of in edges
+            - Has ordered set of out edges
+            - 3 types of vertices
+                - Node
+                    - Contains exactly one value of any type
+                    - Is unique within graph, based on its value
+                    - Has at least one edge (either in or out)
+                - Junction
+                    - Has two or more in edges
+                    - Has exactly one out edge
+                - Fork
+                    - Has exactly one in edge
+                    - Has one or more out edges
+
+        - Half-edge
+            - Has no properties, simply exists
+
+### Example graph
+
+Here is a graph which will, when interpreted and compiled in a certain way,
+take the average of an input tuple containing only integers:
+
+```
+            +    \
+        |------- |
+        |        |  /
+ in --- |        |---- out
+        |  size  |
+        |------- |
+                 /
+```
+
+- The first "wall" of pipe characters represents a fork, where the input is
+  copied into two different edges. In the top edge the elements of the input
+  tuple are summed using the `+` attribute. In the bottom edge the
+  number of elements in the input tuple are counted using the `size` attribute.
+
+- The second "wall" of pipe characters represents a junction (note the top and
+  bottom slashes to differentiate from a fork). A junction combines its input
+  edges into a new tuple. So this junction creates a 2-tuple, the first element
+  being the sum of the `in` tuple's elements, the second being the count of how
+  many elements there were in `in`.
+
+- Finally, the members of that 2-tuple are divided using the `/` attribute on
+  the edge leaving the junction. As this edge is the input into the `out` node,
+  the result of the division becomes the output of this graph.
+
+## Operations
+
+* Each operation has exactly one input value and one output value, and specifies
+  the type of each.
+* A string preceded by `$` indicates any value of any type. The string gives
+  context as to how that value will be used.
+* Abbreviations
+    - `($T0,...,$Tn)`: Tuple containing zero or more members of varying types
+    - `($T...)` : Tuple containing zero or more members of the same type
+    - `V`: vertex of any type (node, junction, or fork)
+    - `E`: edge
+    - `e`: half-edge
+    - `G`: graph
+    - `it<$T>`: iterator whose values are all type `$T`
+
+```
+# Operation syntax:
+# name : input -> output
+
+# Tuple and iterator basics
+tup_it  : ($T...) -> it<$T>
+it_next : it<$T> -> (it<$T>, $T, bool)
+
+# Graph construction
+graph_mk_edge_from : ($val, $attr) -> e
+graph_mk_edge_to   : (e, $val) -> G
+graph_mk_fork      : (e, $attr) -> e
+graph_mk_junction  : (it<e>, $attr) -> e
+graph_merge        : (G, G) -> G
+
+# Graph traversal
+graph_edge_in         : E -> V
+graph_edge_out        : E -> V
+graph_edge_attr       : E -> $attr
+graph_vertex_ins      : V -> it<E>
+graph_vertex_outs     : V -> it<E>
+graph_vertex_node_val : V -> ($val, bool)
+graph_nodes           : G -> it<V>
+graph_node            : (G,$val) -> (V, bool) # maybe not needed?
+```
+
+### Example graph construction
+
+The graph above could be constructed in the following way:
+
+```
+eIn    = graph_mk_edge_from(in, ())
+eSum   = graph_mk_fork(eIn, +)
+eCount = graph_mk_fork(eIn, size)
+eAvg   = graph_mk_junction(tup_it(eSum, eCount), /)
+G      = graph_mk_edge_to(eAvg, out)
+
+return G
+```
+
+## Notes
+
+- Assuming _only_ the given operations are used:
+    - It is impossible to construct an invalid graph.
+    - It is impossible to call any graph traversal operations in an invalid or
+      undefined way.