checkpoit

This commit is contained in:
Kacper Marzecki 2025-06-15 19:56:13 +02:00
parent 4fbfed4db6
commit 3e0d6f3485

524
test.exs
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@ -1,4 +1,8 @@
defmodule Tdd do
# --- Existing code from your previous version ---
# (init_tdd_system, get_state, update_state, make_node, get_node_details,
# variable definitions, basic type constructors, apply, sum, print_tdd)
# Ensure your `apply/4` function is the corrected version from the MatchError fix.
@moduledoc """
Ternary decision diagram for set-theoretic types.
"""
@ -7,37 +11,31 @@ defmodule Tdd do
@false_node_id 0
@true_node_id 1
# --- State: Managed via module attributes (for simplicity in this example) ---
# @nodes: Map from {var, yes_id, no_id, dc_id} -> node_id
# @node_by_id: Map from node_id -> {var, yes_id, no_id, dc_id}
# @next_id: Integer for the next available node ID
# @op_cache: Cache for apply operations: {{op_name, id1, id2} -> result_id}
defguard is_terminal_id(id) when id == @false_node_id or id == @true_node_id
# Initialize state (call this once, or ensure it's idempotent)
def init_tdd_system do
# Node 0 represents FALSE, Node 1 represents TRUE.
# These don't have var/children, so we represent them specially or handle them in functions.
# For @node_by_id, we can store a marker.
Process.put(:nodes, %{})
Process.put(:node_by_id, %{@false_node_id => :false_terminal, @true_node_id => :true_terminal})
Process.put(:next_id, 2) # Start after true/false
Process.put(:next_id, 2)
Process.put(:op_cache, %{})
IO.puts("TDD system initialized.")
end
# Helper to get current state
defp get_state do
%{
nodes: Process.get(:nodes, %{}),
node_by_id: Process.get(:node_by_id, %{@false_node_id => :false_terminal, @true_node_id => :true_terminal}),
node_by_id:
Process.get(:node_by_id, %{
@false_node_id => :false_terminal,
@true_node_id => :true_terminal
}),
next_id: Process.get(:next_id, 2),
op_cache: Process.get(:op_cache, %{})
}
end
# Helper to update state
defp update_state(changes) do
current_state = get_state()
new_state = Map.merge(current_state, changes)
@ -47,171 +45,106 @@ defmodule Tdd do
Process.put(:op_cache, new_state.op_cache)
end
# --- Node Creation and Reduction ---
# This is the core function to get or create a node.
# It implements the reduction rules.
def make_node(variable, yes_id, no_id, dc_id) do
# Reduction Rule: If all children are identical, this node is redundant.
# (This is a strong form of reduction for TDDs)
if yes_id == no_id && yes_id == dc_id do
# IO.puts "Reduction (all children same): var #{inspect variable} -> #{yes_id}"
yes_id
else
state = get_state()
node_tuple = {variable, yes_id, no_id, dc_id}
if Map.has_key?(state.nodes, node_tuple) do
# Node already exists
state.nodes[node_tuple]
else
# Create new node
new_id = state.next_id
# IO.puts "Creating node #{new_id}: #{inspect variable}, y:#{yes_id}, n:#{no_id}, d:#{dc_id}"
update_state(%{
nodes: Map.put(state.nodes, node_tuple, new_id),
node_by_id: Map.put(state.node_by_id, new_id, node_tuple),
next_id: new_id + 1
})
new_id
end
end
end
# Get details of a node (useful for apply and debugging)
def get_node_details(id) when is_terminal_id(id) do
if id == @true_node_id, do: :true_terminal, else: :false_terminal
end
def get_node_details(id) do
state = get_state()
state.node_by_id[id] # Returns {var, yes, no, dc} or nil
state.node_by_id[id]
end
# --- Variable Definitions (subset for now) ---
# Category 0: Primary Type Discriminators
@v_is_atom {0, :is_atom}
@v_is_tuple {0, :is_tuple}
# Add other primary types here in order, e.g., {0, :is_integer}, {0, :is_list}
# Category 1: Atom-Specific Predicates
def v_atom_eq(atom_val), do: {1, :value, atom_val}
# Category 4: Tuple-Specific Predicates
def v_tuple_size_eq(size), do: {4, :size, size}
def v_tuple_elem_pred(index, nested_pred_id), do: {4, :element, index, nested_pred_id}
# --- Basic Type Constructors ---
# These construct TDDs representing specific types.
# For simplicity, they assume an "empty" background (all other types are false).
# `dc_id` is often `@false_node_id` in constructors because if a variable is "don't care"
# for this specific type, it means it *could* be something that makes it NOT this type.
def type_any, do: @true_node_id
def type_none, do: @false_node_id
# Represents the type `atom()` (any atom)
def type_atom do
# The variable order means we must consider @v_is_tuple *before* specific atom properties
# if we were to build from a full list of variables.
# However, for a simple constructor, we focus on the defining properties.
# The `apply` algorithm will handle interactions with other types correctly due to variable ordering.
# If it's an atom, it's true for this type.
# If it's not an atom, it's false for this type.
# If we "don't care" if it's an atom, it's not specific enough to be `type_atom`, so false.
make_node(@v_is_atom, @true_node_id, @false_node_id, @false_node_id)
end
# Represents a specific atom literal, e.g., `:foo`
def type_atom_literal(atom_val) do
var_eq = v_atom_eq(atom_val) # e.g., {1, :value, :foo}
# Node for specific atom value: if value matches, true; else false.
var_eq = v_atom_eq(atom_val)
atom_val_node = make_node(var_eq, @true_node_id, @false_node_id, @false_node_id)
# Node for primary type: if is_atom, check value; else false.
make_node(@v_is_atom, atom_val_node, @false_node_id, @false_node_id)
end
# Represents `tuple()` (any tuple)
def type_tuple do
make_node(@v_is_tuple, @true_node_id, @false_node_id, @false_node_id)
end
# Represents an empty tuple `{}`
def type_empty_tuple do
var_size_0 = v_tuple_size_eq(0)
tuple_size_node = make_node(var_size_0, @true_node_id, @false_node_id, @false_node_id)
make_node(@v_is_tuple, tuple_size_node, @false_node_id, @false_node_id)
end
# Represents a tuple of a specific size with any elements, e.g., `{any, any}` for size 2
def type_tuple_sized_any(size) do
var_size = v_tuple_size_eq(size)
# For element checks, 'any' means the element specific predicates would all go to their dc child,
# which leads to true. So, for representing `tuple_of_size_N_with_any_elements`,
# we only need to check the size after confirming it's a tuple.
tuple_size_node = make_node(var_size, @true_node_id, @false_node_id, @false_node_id)
make_node(@v_is_tuple, tuple_size_node, @false_node_id, @false_node_id)
end
# --- The APPLY Algorithm ---
# apply(op_lambda, u1_id, u2_id)
# op_lambda takes (terminal1_val, terminal2_val) and returns resulting terminal_val
# e.g., for OR: fn :true_terminal, _ -> :true_terminal; _, :true_terminal -> :true_terminal; _,_ -> :false_terminal end
# which then maps to @true_node_id or @false_node_id.
def apply(op_name, op_lambda, u1_id, u2_id) do
state = get_state()
# Ensure cache_key is canonical for commutative operations
cache_key = {op_name, Enum.sort([u1_id, u2_id])}
cond do
# 1. Check cache first
Map.has_key?(state.op_cache, cache_key) ->
state.op_cache[cache_key]
# 2. Base case: Both u1 and u2 are terminals
is_terminal_id(u1_id) && is_terminal_id(u2_id) ->
res_terminal_symbol = op_lambda.(get_node_details(u1_id), get_node_details(u2_id))
# Result is a terminal ID, no need to cache these simple computations directly,
# the calls leading to them will be cached.
if res_terminal_symbol == :true_terminal, do: @true_node_id, else: @false_node_id
# 3. Recursive case: At least one is non-terminal.
# Handle sub-cases where one is terminal and the other is not.
true ->
# Pre-check for terminal optimizations specific to the operation
# This can make some operations (like sum with @true_node_id) much faster.
# For sum:
# if u1_id == @true_node_id or u2_id == @true_node_id, result is @true_node_id (if op is sum)
# if u1_id == @false_node_id, result is u2_id (if op is sum)
# if u2_id == @false_node_id, result is u1_id (if op is sum)
# These are handled by op_lambda if both are terminals. If one is terminal,
# the recursive calls below will hit that.
u1_details = get_node_details(u1_id)
u2_details = get_node_details(u2_id)
result_id =
cond do
# Case 3a: u1 is terminal, u2 is not
u1_details == :true_terminal or u1_details == :false_terminal ->
{var2, y2, n2, d2} = u2_details # u2 must be a node
{var2, y2, n2, d2} = u2_details
res_y = apply(op_name, op_lambda, u1_id, y2)
res_n = apply(op_name, op_lambda, u1_id, n2)
res_d = apply(op_name, op_lambda, u1_id, d2)
make_node(var2, res_y, res_n, res_d)
# Case 3b: u2 is terminal, u1 is not
u2_details == :true_terminal or u2_details == :false_terminal ->
{var1, y1, n1, d1} = u1_details # u1 must be a node
{var1, y1, n1, d1} = u1_details
res_y = apply(op_name, op_lambda, y1, u2_id)
res_n = apply(op_name, op_lambda, n1, u2_id)
res_d = apply(op_name, op_lambda, d1, u2_id)
make_node(var1, res_y, res_n, res_d)
# Case 3c: Both u1 and u2 are non-terminal nodes
true ->
{var1, y1, n1, d1} = u1_details
{var2, y2, n2, d2} = u2_details
@ -219,13 +152,10 @@ defmodule Tdd do
top_var =
cond do
var1 == var2 -> var1
# Elixir's tuple comparison provides the global variable order
var1 < var2 -> var1
true -> var2 # var2 < var1
true -> var2
end
# Recursive calls: if a variable is not the top_var for a TDD,
# that TDD is passed through unchanged to the next level of recursion.
res_y =
cond do
top_var == var1 && top_var == var2 -> apply(op_name, op_lambda, y1, y2)
@ -246,118 +176,360 @@ defmodule Tdd do
top_var == var1 -> apply(op_name, op_lambda, d1, u2_id)
true -> apply(op_name, op_lambda, u1_id, d2)
end
make_node(top_var, res_y, res_n, res_d)
end
# Cache the result of this (op, u1, u2) call
update_state(%{op_cache: Map.put(state.op_cache, cache_key, result_id)})
result_id
end
end
# --- Set Operations ---
def sum(tdd1_id, tdd2_id) do
op_lambda_sum = fn
(:true_terminal, _) -> :true_terminal # true or X = true
(_, :true_terminal) -> :true_terminal # X or true = true
(:false_terminal, t2_val) -> t2_val # false or X = X
(t1_val, :false_terminal) -> t1_val # X or false = X
:true_terminal, _ -> :true_terminal
_, :true_terminal -> :true_terminal
:false_terminal, t2_val -> t2_val
t1_val, :false_terminal -> t1_val
end
apply(:sum, op_lambda_sum, tdd1_id, tdd2_id)
end
# Placeholder for intersect and negate
# def intersect(one, two) do end
# def negate(one) do end
# --- Intersection ---
def intersect(tdd1_id, tdd2_id) do
op_lambda_intersect = fn
# AND logic for terminals
# false and X = false
:false_terminal, _ -> :false_terminal
# X and false = false
_, :false_terminal -> :false_terminal
# true and X = X (e.g. true and true = true, true and false = false)
:true_terminal, t2_val -> t2_val
# X and true = X
t1_val, :true_terminal -> t1_val
end
apply(:intersect, op_lambda_intersect, tdd1_id, tdd2_id)
end
# --- Helper to inspect the TDD structure (for debugging) ---
def print_tdd(id, indent \\ 0) do
prefix = String.duplicate(" ", indent)
details = get_node_details(id)
IO.puts "#{prefix}ID #{id}: #{inspect details}"
case details do
{_var, y, n, d} ->
IO.puts "#{prefix} Yes ->"
print_tdd(y, indent + 1)
IO.puts "#{prefix} No ->"
print_tdd(n, indent + 1)
IO.puts "#{prefix} DC ->"
print_tdd(d, indent + 1)
:true_terminal -> :ok
:false_terminal -> :ok
nil -> IO.puts "#{prefix} Error: Unknown ID #{id}"
# --- Negation ---
def negate(tdd_id) do
state = get_state()
# Unary operation cache key
cache_key = {:negate, tdd_id}
cond do
# Handle terminals directly, no caching needed for these simple cases.
tdd_id == @true_node_id ->
@false_node_id
tdd_id == @false_node_id ->
@true_node_id
# Check cache for non-terminal IDs
Map.has_key?(state.op_cache, cache_key) ->
state.op_cache[cache_key]
# Compute for non-terminal ID if not in cache
true ->
case get_node_details(tdd_id) do
{var, y, n, d} ->
res_y = negate(y)
res_n = negate(n)
res_d = negate(d)
result_id = make_node(var, res_y, res_n, res_d)
# Cache the computed result for this non-terminal tdd_id
update_state(%{op_cache: Map.put(state.op_cache, cache_key, result_id)})
result_id
nil ->
# This should ideally not be reached if IDs are managed correctly
raise "Tdd.negate: Unknown node ID #{inspect(tdd_id)} during get_node_details. State: #{inspect(state.node_by_id)}"
end
end
end
# --- Subtyping ---
# A <: B (A is a subtype of B)
def is_subtype(sub_type_id, super_type_id) do
cond do
# Optimization: A is always a subtype of A
sub_type_id == super_type_id ->
true
# Optimization: `none` is a subtype of anything
sub_type_id == @false_node_id ->
true
# Optimization: Anything is a subtype of `any`
super_type_id == @true_node_id ->
true
true ->
# Definition: A <: B <=> A ∩ (¬B) == ∅ (type_none / @false_node_id)
negated_super = negate(super_type_id)
intersection_result = intersect(sub_type_id, negated_super)
intersection_result == @false_node_id
end
end
def print_tdd(id, indent \\ 0) do
prefix = String.duplicate(" ", indent)
details = get_node_details(id)
IO.puts("#{prefix}ID #{id}: #{inspect(details)}")
case details do
{_var, y, n, d} ->
IO.puts("#{prefix} Yes ->")
print_tdd(y, indent + 1)
IO.puts("#{prefix} No ->")
print_tdd(n, indent + 1)
IO.puts("#{prefix} DC ->")
print_tdd(d, indent + 1)
:true_terminal ->
:ok
:false_terminal ->
:ok
nil ->
IO.puts("#{prefix} Error: Unknown ID #{id}")
end
end
end
# --- Example Usage ---
# Initialize the system (important!)
Tdd.init_tdd_system()
IO.puts "\n--- TDD for :foo ---"
# Basic Types
tdd_foo = Tdd.type_atom_literal(:foo)
Tdd.print_tdd(tdd_foo)
# Expected:
# ID 4: {{0, :is_atom}, 3, 0, 0}
# Yes ->
# ID 3: {{1, :value, :foo}, 1, 0, 0}
# Yes ->
# ID 1: :true_terminal
# No ->
# ID 0: :false_terminal
# DC ->
# ID 0: :false_terminal
# No ->
# ID 0: :false_terminal
# DC ->
# ID 0: :false_terminal
IO.puts "\n--- TDD for :bar ---"
tdd_bar = Tdd.type_atom_literal(:bar)
Tdd.print_tdd(tdd_bar)
# Similar structure, but with {1, :value, :bar} and different intermediate IDs like 6, 5.
IO.puts "\n--- TDD for :foo or :bar ---"
tdd_foo_or_bar = Tdd.sum(tdd_foo, tdd_bar)
Tdd.print_tdd(tdd_foo_or_bar)
# Expected structure for tdd_foo_or_bar (variable order matters):
# Top var: {0, :is_atom}
# Yes branch: (node for :foo or :bar, given it's an atom)
# Top var: {1, :value, :bar} (assuming :bar < :foo lexicographically for sorting example, or however Elixir sorts them)
# Yes branch (:bar is true): true_terminal
# No branch (:bar is false): (node for checking :foo)
# Top var: {1, :value, :foo}
# Yes branch (:foo is true): true_terminal
# No branch (:foo is false): false_terminal
# DC branch: false_terminal
# DC branch: false_terminal (if value is don't care, it's not :bar)
# No branch: false_terminal (not an atom)
# DC branch: false_terminal (is_atom is don't care)
IO.puts "\n--- TDD for empty tuple {} ---"
tdd_atom = Tdd.type_atom()
tdd_empty_tuple = Tdd.type_empty_tuple()
Tdd.print_tdd(tdd_empty_tuple)
# Expected:
# ID X: {{0, :is_tuple}, Y, 0, 0}
# Yes ->
# ID Y: {{4, :size, 0}, 1, 0, 0}
# ... leads to true/false ...
# No -> ID 0
# DC -> ID 0
tdd_any = Tdd.type_any()
tdd_none = Tdd.type_none()
IO.puts "\n--- TDD for :foo or {} ---"
IO.puts("\n--- TDD for :foo ---")
Tdd.print_tdd(tdd_foo)
IO.puts("\n--- TDD for not :foo ---")
Tdd.print_tdd(Tdd.negate(tdd_foo))
IO.puts("\n--- TDD for atom ---")
Tdd.print_tdd(tdd_atom)
IO.puts("\n--- TDD for not atom ---")
# Expected: make_node(@v_is_atom, @false_node_id, @true_node_id, @true_node_id)
# This represents "anything that is not an atom". The DC branch becomes true because if
# "is_atom" test is irrelevant for "not atom", it means it's part of "not atom".
Tdd.print_tdd(Tdd.negate(tdd_atom))
IO.puts("\n--- TDD for :foo and :bar (should be none) ---")
tdd_foo_and_bar = Tdd.intersect(tdd_foo, tdd_bar)
# Expected ID 0: :false_terminal
Tdd.print_tdd(tdd_foo_and_bar)
IO.puts("\n--- TDD for :foo and atom (should be :foo) ---")
tdd_foo_and_atom = Tdd.intersect(tdd_foo, tdd_atom)
# Expected to be structurally identical to tdd_foo
Tdd.print_tdd(tdd_foo_and_atom)
test = fn name, expected, result ->
current_failures = Process.get(:test_failures, [])
if expected != result do
Process.put(:test_failures, [name | current_failures])
end
status = if expected == result, do: "PASSED", else: "FAILED"
IO.puts("#{name} (Expected: #{expected}) -> Result: #{result} - #{status}")
end
# Basic Types
tdd_foo = Tdd.type_atom_literal(:foo)
tdd_bar = Tdd.type_atom_literal(:bar)
tdd_baz = Tdd.type_atom_literal(:baz)
tdd_atom = Tdd.type_atom()
tdd_empty_tuple = Tdd.type_empty_tuple()
tdd_tuple = Tdd.type_tuple()
# Tuple of size 2, e.g. {any, any}
tdd_tuple_s2 = Tdd.type_tuple_sized_any(2)
tdd_any = Tdd.type_any()
tdd_none = Tdd.type_none()
IO.puts("\n--- Basic Subtyping Tests ---")
test.(":foo <: atom", true, Tdd.is_subtype(tdd_foo, tdd_atom))
test.("atom <: :foo", false, Tdd.is_subtype(tdd_atom, tdd_foo))
test.(":foo <: :bar", false, Tdd.is_subtype(tdd_foo, tdd_bar))
test.(":foo <: :foo", true, Tdd.is_subtype(tdd_foo, tdd_foo))
test.("{} <: tuple", true, Tdd.is_subtype(tdd_empty_tuple, tdd_tuple))
test.("tuple <: {}", false, Tdd.is_subtype(tdd_tuple, tdd_empty_tuple))
test.(":foo <: {}", false, Tdd.is_subtype(tdd_foo, tdd_empty_tuple))
test.("tuple_size_2 <: tuple", true, Tdd.is_subtype(tdd_tuple_s2, tdd_tuple))
test.("tuple <: tuple_size_2", false, Tdd.is_subtype(tdd_tuple, tdd_tuple_s2))
test.("tuple_size_2 <: {}", false, Tdd.is_subtype(tdd_tuple_s2, tdd_empty_tuple))
IO.puts("\n--- Any/None Subtyping Tests ---")
test.("any <: :foo", false, Tdd.is_subtype(tdd_any, tdd_foo))
test.(":foo <: any", true, Tdd.is_subtype(tdd_foo, tdd_any))
test.("none <: :foo", true, Tdd.is_subtype(tdd_none, tdd_foo))
test.(":foo <: none", false, Tdd.is_subtype(tdd_foo, tdd_none))
test.("none <: any", true, Tdd.is_subtype(tdd_none, tdd_any))
test.("any <: none", false, Tdd.is_subtype(tdd_any, tdd_none))
test.("any <: any", true, Tdd.is_subtype(tdd_any, tdd_any))
test.("none <: none", true, Tdd.is_subtype(tdd_none, tdd_none))
IO.puts("\n--- Union related Subtyping ---")
tdd_foo_or_bar = Tdd.sum(tdd_foo, tdd_bar)
tdd_foo_or_bar_or_baz = Tdd.sum(tdd_foo_or_bar, tdd_baz)
test.(":foo <: (:foo | :bar)", true, Tdd.is_subtype(tdd_foo, tdd_foo_or_bar))
test.(":baz <: (:foo | :bar)", false, Tdd.is_subtype(tdd_baz, tdd_foo_or_bar))
test.("(:foo | :bar) <: atom", true, Tdd.is_subtype(tdd_foo_or_bar, tdd_atom))
test.("atom <: (:foo | :bar)", false, Tdd.is_subtype(tdd_atom, tdd_foo_or_bar))
test.(
"(:foo | :bar) <: (:foo | :bar | :baz)",
true,
Tdd.is_subtype(tdd_foo_or_bar, tdd_foo_or_bar_or_baz)
)
test.(
"(:foo | :bar | :baz) <: (:foo | :bar)",
false,
Tdd.is_subtype(tdd_foo_or_bar_or_baz, tdd_foo_or_bar)
)
# Test against a non-member of the union
test.("(:foo | :bar) <: :baz", false, Tdd.is_subtype(tdd_foo_or_bar, tdd_baz))
IO.puts("\n--- Intersection related Subtyping ---")
# Should be equivalent to tdd_foo
tdd_atom_and_foo = Tdd.intersect(tdd_atom, tdd_foo)
# Should be tdd_none
tdd_atom_and_tuple = Tdd.intersect(tdd_atom, tdd_tuple)
test.("(atom & :foo) <: :foo", true, Tdd.is_subtype(tdd_atom_and_foo, tdd_foo))
test.(":foo <: (atom & :foo)", true, Tdd.is_subtype(tdd_foo, tdd_atom_and_foo))
test.("(atom & tuple) <: none", true, Tdd.is_subtype(tdd_atom_and_tuple, tdd_none))
test.("none <: (atom & tuple)", true, Tdd.is_subtype(tdd_none, tdd_atom_and_tuple))
test.("(atom & :foo) <: :bar", false, Tdd.is_subtype(tdd_atom_and_foo, tdd_bar))
# An intersection is a subtype of its components
test.("(atom & :foo) <: atom", true, Tdd.is_subtype(tdd_atom_and_foo, tdd_atom))
# (none <: atom)
test.("(atom & tuple) <: atom", true, Tdd.is_subtype(tdd_atom_and_tuple, tdd_atom))
# (none <: tuple)
test.("(atom & tuple) <: tuple", true, Tdd.is_subtype(tdd_atom_and_tuple, tdd_tuple))
IO.puts("\n--- Negation related Subtyping (Contrapositives) ---")
# Reminder: ¬A <: ¬B is equivalent to B <: A (contrapositive)
# Test 1: ¬atom <: ¬:foo (Equivalent to :foo <: atom, which is true)
test.("¬atom <: ¬:foo", true, Tdd.is_subtype(Tdd.negate(tdd_atom), Tdd.negate(tdd_foo)))
# Test 2: ¬:foo <: ¬atom (Equivalent to atom <: :foo, which is false)
test.("¬:foo <: ¬atom", false, Tdd.is_subtype(Tdd.negate(tdd_foo), Tdd.negate(tdd_atom)))
# Double negation
test.("¬(¬:foo) <: :foo", true, Tdd.is_subtype(Tdd.negate(Tdd.negate(tdd_foo)), tdd_foo))
test.(":foo <: ¬(¬:foo)", true, Tdd.is_subtype(tdd_foo, Tdd.negate(Tdd.negate(tdd_foo))))
# Disjoint types
test.("atom <: ¬tuple", true, Tdd.is_subtype(tdd_atom, Tdd.negate(tdd_tuple)))
test.("tuple <: ¬atom", true, Tdd.is_subtype(tdd_tuple, Tdd.negate(tdd_atom)))
test.(":foo <: ¬{}", true, Tdd.is_subtype(tdd_foo, Tdd.negate(tdd_empty_tuple)))
IO.puts("\n--- Mixed Types & Complex Subtyping ---")
tdd_atom_or_tuple = Tdd.sum(tdd_atom, tdd_tuple)
tdd_foo_or_empty_tuple = Tdd.sum(tdd_foo, tdd_empty_tuple)
Tdd.print_tdd(tdd_foo_or_empty_tuple)
# Expected structure (variable order {0, :is_atom} < {0, :is_tuple}):
# Top var: {0, :is_atom}
# Yes branch: (node for :foo, given it's an atom, and not a tuple)
# ... (structure of tdd_foo, but false branch of {0, :is_tuple} might point here)
# No branch: (node for {}, given it's not an atom)
# ... (structure of tdd_empty_tuple, but false branch of {0, :is_atom} might point here)
# DC branch: (complicated, depends on how dc propagates for sum)
# For sum, if `is_atom` is dc for foo and for tuple, then result is dc.
# Since our constructors use false for dc, `apply(:sum, false_id, false_id)` for dc branches yields `false_id`.
# So, the DC branch of the root will be false.
test.(
"(:foo | {}) <: (atom | tuple)",
true,
Tdd.is_subtype(tdd_foo_or_empty_tuple, tdd_atom_or_tuple)
)
test.(
"(atom | tuple) <: (:foo | {})",
false,
Tdd.is_subtype(tdd_atom_or_tuple, tdd_foo_or_empty_tuple)
)
test.(":foo <: (atom | tuple)", true, Tdd.is_subtype(tdd_foo, tdd_atom_or_tuple))
test.("{} <: (atom | tuple)", true, Tdd.is_subtype(tdd_empty_tuple, tdd_atom_or_tuple))
# De Morgan's Law illustration (A | B = ¬(¬A & ¬B))
# (:foo | :bar) <: ¬(¬:foo & ¬:bar)
tdd_not_foo_and_not_bar = Tdd.intersect(Tdd.negate(tdd_foo), Tdd.negate(tdd_bar))
test.(
"(:foo | :bar) <: ¬(¬:foo & ¬:bar)",
true,
Tdd.is_subtype(tdd_foo_or_bar, Tdd.negate(tdd_not_foo_and_not_bar))
)
test.(
"¬(¬:foo & ¬:bar) <: (:foo | :bar)",
true,
Tdd.is_subtype(Tdd.negate(tdd_not_foo_and_not_bar), tdd_foo_or_bar)
)
# Type difference: atom - :foo (represented as atom & ¬:foo)
tdd_atom_minus_foo = Tdd.intersect(tdd_atom, Tdd.negate(tdd_foo))
test.("(atom - :foo) <: atom", true, Tdd.is_subtype(tdd_atom_minus_foo, tdd_atom))
test.("(atom - :foo) <: :foo", false, Tdd.is_subtype(tdd_atom_minus_foo, tdd_foo))
# True if :bar is in (atom - :foo)
test.("(atom - :foo) <: :bar", true, Tdd.is_subtype(tdd_atom_minus_foo, tdd_bar))
test.(":bar <: (atom - :foo)", true, Tdd.is_subtype(tdd_bar, tdd_atom_minus_foo))
# (atom - :foo) | :foo should be atom
tdd_recombined_atom = Tdd.sum(tdd_atom_minus_foo, tdd_foo)
test.("((atom - :foo) | :foo) <: atom", true, Tdd.is_subtype(tdd_recombined_atom, tdd_atom))
test.("atom <: ((atom - :foo) | :foo)", true, Tdd.is_subtype(tdd_atom, tdd_recombined_atom))
# (atom | {}) & (tuple | :foo) must be (:foo | {})
# Represents `atom() | {}`
tdd_atom_or_empty = Tdd.sum(tdd_atom, tdd_empty_tuple)
# Represents `tuple() | :foo`
tdd_tuple_or_foo = Tdd.sum(tdd_tuple, tdd_foo)
intersected_complex = Tdd.intersect(tdd_atom_or_empty, tdd_tuple_or_foo)
# Expected result for intersected_complex is tdd_foo_or_empty_tuple
test.(
"(atom | {}) & (tuple | :foo) <: (:foo | {})",
true,
Tdd.is_subtype(intersected_complex, tdd_foo_or_empty_tuple)
)
test.(
"(:foo | {}) <: (atom | {}) & (tuple | :foo)",
true,
Tdd.is_subtype(tdd_foo_or_empty_tuple, intersected_complex)
)
# {} | tuple_size_2 should be a subtype of tuple
tdd_empty_or_s2 = Tdd.sum(tdd_empty_tuple, tdd_tuple_s2)
test.("({} | tuple_size_2) <: tuple", true, Tdd.is_subtype(tdd_empty_or_s2, tdd_tuple))
test.(
"({} | tuple_size_2) <: ({} | tuple_size_2)",
true,
Tdd.is_subtype(tdd_empty_or_s2, tdd_empty_or_s2)
)
test.("({} | tuple_size_2) <: tuple_size_2", false, Tdd.is_subtype(tdd_empty_or_s2, tdd_tuple_s2))
IO.puts("\n--- TDD structure for (atom - :foo) ---")
Tdd.print_tdd(tdd_atom_minus_foo)
IO.puts("\n--- TDD structure for ((atom - :foo) | :foo) which should be 'atom' ---")
Tdd.print_tdd(tdd_recombined_atom)
IO.puts("\n--- TDD structure for 'atom' for comparison ---")
Tdd.print_tdd(tdd_atom)
IO.inspect(Process.get(:test_failures, []))
IO.inspect("tdd_atom_and_tuple")
Tdd.print_tdd(tdd_atom_and_tuple)
IO.inspect("tdd_none")
Tdd.print_tdd(tdd_none)