Builder improvements

expression/collections/seq.py

@@ -142,7 +142,7 @@ def delay(generator: Callable[[], Iterable[_TSource]]) -> Iterable[_TSource]:
         return delay(generator)
 
     @staticmethod
-    def empty() -> Seq[Any]:
+    def empty() -> Seq[_TSource]:
         """Returns empty sequence."""
         return Seq()
 
@@ -363,7 +363,8 @@ def zip(self, other: Iterable[_TResult]) -> Iterable[tuple[_TSource, _TResult]]:
 
     def __iter__(self) -> Iterator[_TSource]:
         """Return iterator for sequence."""
-        return builtins.iter(self._value)
+        # Make sure we return a proper generator that can handle send, throw, and close
+        return (x for x in self._value)
 
     def __repr__(self) -> str:
         result = "["
@@ -397,7 +398,8 @@ def __init__(self, gen: Callable[[], Iterable[_TSource]]) -> None:
 
     def __iter__(self) -> Iterator[_TSource]:
         xs = self.gen()
-        return builtins.iter(xs)
+        # Make sure we return a proper generator that can handle send, throw, and close
+        return (x for x in xs)
 
 
 def append(

expression/core/builder.py

@@ -8,147 +8,118 @@
 from .error import EffectError
 
 
-_TInner = TypeVar("_TInner")
-_TOuter = TypeVar("_TOuter")
+_T = TypeVar("_T")  # for value type
+_M = TypeVar("_M")  # for monadic type
 _P = ParamSpec("_P")
 
 
-class Builder(Generic[_TInner, _TOuter], ABC):
+class BuilderState(Generic[_T]):
+    """Encapsulates the state of a builder computation."""
+
+    def __init__(self):
+        self.is_done = False
+
+
+class Builder(Generic[_T, _M], ABC):  # Corrected Generic definition
     """Effect builder."""
 
-    def bind(self, xs: _TOuter, fn: Callable[[Any], _TOuter]) -> _TOuter:
-        raise NotImplementedError("Builder does not implement a bind method")
+    # Required methods
+    def bind(self, xs: _M, fn: Callable[[_T], _M]) -> _M:  # Use concrete types for Callable input and output
+        raise NotImplementedError("Builder does not implement a `bind` method")
 
-    def return_(self, x: _TInner) -> _TOuter:
-        raise NotImplementedError("Builder does not implement a return method")
+    def return_(self, x: _T) -> _M:
+        raise NotImplementedError("Builder does not implement a `return` method")
 
-    def return_from(self, xs: _TOuter) -> _TOuter:
-        raise NotImplementedError("Builder does not implement a return from method")
+    def return_from(self, xs: _M) -> _M:
+        raise NotImplementedError("Builder does not implement a `return` from method")
 
-    def combine(self, xs: _TOuter, ys: _TOuter) -> _TOuter:
+    def combine(self, xs: _M, ys: _M) -> _M:
         """Used for combining multiple statements in the effect."""
-        raise NotImplementedError("Builder does not implement a combine method")
+        raise NotImplementedError("Builder does not implement a `combine` method")
 
-    def zero(self) -> _TOuter:
+    def zero(self) -> _M:
         """Zero effect.
 
         Called if the effect raises StopIteration without a value, i.e
         returns None.
         """
-        raise NotImplementedError("Builder does not implement a zero method")
+        raise NotImplementedError("Builder does not implement a `zero` method")
 
-    def delay(self, fn: Callable[[], _TOuter]) -> _TOuter:
+    # Optional methods for control flow
+    def delay(self, fn: Callable[[], _M]) -> _M:
         """Delay the computation.
 
-        In F# computation expressions, delay wraps the entire computation to ensure
-        it is not evaluated until run. This enables proper sequencing of effects
-        and lazy evaluation.
-
-        Args:
-            fn: The computation to delay
-
-        Returns:
-            The delayed computation
+        Default implementation is to return the result of the function.
         """
         return fn()
 
-    def run(self, computation: _TOuter) -> _TOuter:
+    def run(self, computation: _M) -> _M:
         """Run a computation.
 
-        Forces evaluation of a delayed computation. In F# computation expressions,
-        run is called at the end to evaluate the entire computation that was
-        wrapped in delay.
-
-        Args:
-            computation: The computation to run
-
-        Returns:
-            The evaluated result
+        Default implementation is to return the computation as is.
         """
         return computation
 
+    # Internal implementation
     def _send(
         self,
         gen: Generator[Any, Any, Any],
-        done: list[bool],
-        value: _TInner | None = None,
-    ) -> _TOuter:
+        state: BuilderState[_T],  # Use BuilderState
+        value: _T,
+    ) -> _M:
         try:
             yielded = gen.send(value)
             return self.return_(yielded)
         except EffectError as error:
-            # Effect errors (Nothing, Error, etc) short circuits the processing so we
-            # set `done` to `True` here.
-            done.append(True)
-            # get value from exception
-            value = error.args[0]
-            return self.return_from(cast("_TOuter", value))
+            # Effect errors (Nothing, Error, etc) short circuits
+            state.is_done = True
+            return self.return_from(cast("_M", error.args[0]))
         except StopIteration as ex:
-            done.append(True)
+            state.is_done = True
+
             # Return of a value in the generator produces StopIteration with a value
             if ex.value is not None:
                 return self.return_(ex.value)
-            raise
+
+            raise  # Raise StopIteration with no value
+
         except RuntimeError:
-            done.append(True)
-            raise StopIteration
+            state.is_done = True
+            return self.zero()  # Return zero() to handle generator runtime errors instead of raising StopIteration
 
     def __call__(
         self,
         fn: Callable[
             _P,
-            Generator[_TInner | None, _TInner, _TInner | None] | Generator[_TInner | None, None, _TInner | None],
+            Generator[_T | None, _T, _T | None] | Generator[_T | None, None, _T | None],
         ],
-    ) -> Callable[_P, _TOuter]:
-        """Option builder.
-
-        Enables the use of computational expressions using coroutines.
-        Thus inside the coroutine the keywords `yield` and `yield from`
-        reassembles `yield` and `yield!` from F#.
-
-        Args:
-            fn: A function that contains a computational expression and
-                returns either a coroutine, generator or an option.
-
-        Returns:
-            A `builder` function that can wrap coroutines into builders.
-        """
+    ) -> Callable[_P, _M]:
+        """The builder decorator."""
 
         @wraps(fn)
-        def wrapper(*args: _P.args, **kw: _P.kwargs) -> _TOuter:
+        def wrapper(*args: _P.args, **kw: _P.kwargs) -> _M:
             gen = fn(*args, **kw)
-            done: list[bool] = []
-
-            result: _TOuter | None = None
+            state = BuilderState[_T]()  # Initialize BuilderState
+            result: _M = self.zero()  # Initialize result
+            value: _M
 
-            def binder(value: Any) -> _TOuter:
-                ret = self._send(gen, done, value)
-
-                # Delay every result except the first
-                if result is not None:
-                    return self.delay(lambda: ret)
-                return ret
+            def binder(value: Any) -> _M:
+                ret = self._send(gen, state, value)  # Pass state to _send
+                return self.delay(lambda: ret)  # Delay every bind call
 
             try:
-                result = self._send(gen, done)
+                # Initialize co-routine with None to start the generator and get the
+                # first value
+                result = value = binder(None)
 
-                while not done:
-                    cont = self.bind(result, binder)
+                while not state.is_done:  # Loop until coroutine is exhausted
+                    value: _M = self.bind(value, binder)  # Send value to coroutine
+                    result = self.combine(result, value)  # Combine previous result with new value
 
-                    # Combine every result except the first
-                    if result is None:
-                        result = cont
-                    else:
-                        result = self.combine(result, cont)
             except StopIteration:
+                # This will happens if the generator exits by returning None
                 pass
 
-            # If anything returns `None` (i.e raises StopIteration without a value) then
-            # we expect the effect to have a zero method implemented.
-            if result is None:
-                result = self.zero()
-
-            # Run the computation at the end
-            return self.run(result)
+            return self.run(result)  # Run the result
 
         return wrapper

expression/effect/__init__.py

@@ -3,7 +3,10 @@
 from .option import OptionBuilder as option
 from .result import ResultBuilder as result
 from .result import TryBuilder as try_
-from .seq import SeqBuilder as seq
+from .seq import SeqBuilder as seq_builder
+
+
+seq = seq_builder
 
 
 __all__ = ["option", "result", "seq", "try_"]

expression/effect/result.py

@@ -16,21 +16,75 @@ class ResultBuilder(Builder[_TSource, Result[Any, _TError]]):
     def bind(
         self,
         xs: Result[_TSource, _TError],
-        fn: Callable[[_TSource], Result[_TResult, _TError]],
+        fn: Callable[[Any], Result[_TResult, _TError]],
     ) -> Result[_TResult, _TError]:
+        """Bind a function to a result value.
+
+        In F# computation expressions, this corresponds to ``let!`` and enables
+        sequencing of computations.
+
+        Args:
+            xs: The result value to bind
+            fn: The function to apply to the value if Ok
+
+        Returns:
+            The result of applying fn to the value if Ok, otherwise Error
+        """
         return pipe(xs, result.bind(fn))
 
-    def return_(self, x: _TSource) -> Result[_TSource, _TError]:
+    def return_(self, x: _TSource) -> Result[_TSource, _TError]:  # Use Any for return_ type
+        """Wrap a value in a result.
+
+        In F# computation expressions, this corresponds to ``return`` and lifts
+        a value into the result context.
+
+        Args:
+            x: The value to wrap
+
+        Returns:
+            Ok containing the value
+        """
         return Ok(x)
 
     def return_from(self, xs: Result[_TSource, _TError]) -> Result[_TSource, _TError]:
+        """Return a result value directly.
+
+        In F# computation expressions, this corresponds to ``return!`` and allows
+        returning an already wrapped value.
+
+        Args:
+            xs: The result value to return
+
+        Returns:
+            The result value unchanged
+        """
         return xs
 
     def combine(self, xs: Result[_TSource, _TError], ys: Result[_TSource, _TError]) -> Result[_TSource, _TError]:
+        """Combine two result computations.
+
+        In F# computation expressions, this enables sequencing multiple
+        expressions where we only care about the final result.
+
+        Args:
+            xs: First result computation
+            ys: Second result computation
+
+        Returns:
+            The second computation if first is Ok, otherwise Error
+        """
         return xs.bind(lambda _: ys)
 
-    def zero(self) -> Result[_TSource, _TError]:
-        raise NotImplementedError
+    def zero(self) -> Result[Any, _TError]:  # Use Any for zero return type
+        """Return the zero value for results.
+
+        In F# computation expressions, this is used when no value is returned,
+        corresponding to Ok(()) in F#.
+
+        Returns:
+            Ok(None)
+        """
+        return Ok(None)
 
     def __call__(
         self,  # Ignored self parameter