Comonads¶

Comonad definitions with counits, comultiplications, and comonad laws.

comonads ¶

Comonads and coKleisli categories on V-enriched FinSet.

A comonad (W, ε, δ) consists of an endofunctor W, a counit ε: W ⇒ Id, and a comultiplication δ: W ⇒ W² satisfying:

W(δ) ∘ δ = δ_W ∘ δ     (coassociativity)
ε_W ∘ δ = id             (left counit)
W(ε) ∘ δ = id            (right counit)

The coKleisli category of a comonad has the same objects but morphisms A → B are morphisms W(A) → B in the base category, composed via:

f =>> g = g ∘ W(f) ∘ δ_A

This module provides:

Comonad (abstract)
├── CofreeComonad           — cofree comonad from a functor
└── DiagonalComonad         — W(A) = A × A with diagonal/projection

CoKleisliCategory — wraps a comonad for composition

Comonad ¶

Bases: ABC

Abstract comonad (W, ε, δ) on V-enriched FinSet.

Subclasses must implement endofunctor, counit, and comultiply. CoKleisli composition is derived.

endofunctor `abstractmethod` `property` ¶

endofunctor: Functor

The underlying endofunctor W.

counit `abstractmethod` ¶

counit(obj: SetObject) -> Morphism

The counit component ε_A: W(A) → A.

PARAMETER	DESCRIPTION
`obj`	The object A. TYPE: `SetObject`

RETURNS	DESCRIPTION
`Morphism`	The counit morphism ε_A.

Source code in src/quivers/monadic/comonads.py

@abstractmethod
def counit(self, obj: SetObject) -> Morphism:
    """The counit component ε_A: W(A) → A.

    Parameters
    ----------
    obj : SetObject
        The object A.

    Returns
    -------
    Morphism
        The counit morphism ε_A.
    """
    ...

comultiply `abstractmethod` ¶

comultiply(obj: SetObject) -> Morphism

The comultiplication component δ_A: W(A) → W(W(A)).

PARAMETER	DESCRIPTION
`obj`	The object A. TYPE: `SetObject`

RETURNS	DESCRIPTION
`Morphism`	The comultiplication morphism δ_A.

Source code in src/quivers/monadic/comonads.py

@abstractmethod
def comultiply(self, obj: SetObject) -> Morphism:
    """The comultiplication component δ_A: W(A) → W(W(A)).

    Parameters
    ----------
    obj : SetObject
        The object A.

    Returns
    -------
    Morphism
        The comultiplication morphism δ_A.
    """
    ...

cokleisli_compose ¶

cokleisli_compose(f: Morphism, g: Morphism) -> Morphism

CoKleisli composition: f =>> g = g ∘ W(f) ∘ δ_A.

For f: W(A) → B and g: W(B) → C, produces W(A) → C.

PARAMETER	DESCRIPTION
`f`	Left coKleisli morphism W(A) → B. TYPE: `Morphism`
`g`	Right coKleisli morphism W(B) → C. TYPE: `Morphism`

RETURNS	DESCRIPTION
`Morphism`	Composed coKleisli morphism W(A) → C.

Source code in src/quivers/monadic/comonads.py

def cokleisli_compose(self, f: Morphism, g: Morphism) -> Morphism:
    """CoKleisli composition: f =>> g = g ∘ W(f) ∘ δ_A.

    For f: W(A) → B and g: W(B) → C, produces W(A) → C.

    Parameters
    ----------
    f : Morphism
        Left coKleisli morphism W(A) → B.
    g : Morphism
        Right coKleisli morphism W(B) → C.

    Returns
    -------
    Morphism
        Composed coKleisli morphism W(A) → C.
    """
    delta = self._comultiply_at_domain(f)
    wf = self.endofunctor.map_morphism(f)
    return delta >> wf >> g

CoKleisliCategory ¶

CoKleisliCategory(comonad: Comonad)

The coKleisli category of a comonad.

Objects are the same as the base category. Morphisms A → B in the coKleisli category are morphisms W(A) → B in the base category.

PARAMETER	DESCRIPTION
`comonad`	The underlying comonad. TYPE: `Comonad`

Source code in src/quivers/monadic/comonads.py

def __init__(self, comonad: Comonad) -> None:
    self._comonad = comonad

comonad `property` ¶

comonad: Comonad

The underlying comonad.

identity ¶

identity(obj: SetObject) -> Morphism

CoKleisli identity at object A: ε_A: W(A) → A.

PARAMETER	DESCRIPTION
`obj`	The object A. TYPE: `SetObject`

RETURNS	DESCRIPTION
`Morphism`	The coKleisli identity morphism.

Source code in src/quivers/monadic/comonads.py

def identity(self, obj: SetObject) -> Morphism:
    """CoKleisli identity at object A: ε_A: W(A) → A.

    Parameters
    ----------
    obj : SetObject
        The object A.

    Returns
    -------
    Morphism
        The coKleisli identity morphism.
    """
    return self._comonad.counit(obj)

compose ¶

compose(f: Morphism, g: Morphism) -> Morphism

CoKleisli composition: f =>> g.

PARAMETER	DESCRIPTION
`f`	Left morphism W(A) → B. TYPE: `Morphism`
`g`	Right morphism W(B) → C. TYPE: `Morphism`

RETURNS	DESCRIPTION
`Morphism`	Composed morphism W(A) → C.

Source code in src/quivers/monadic/comonads.py

def compose(self, f: Morphism, g: Morphism) -> Morphism:
    """CoKleisli composition: f =>> g.

    Parameters
    ----------
    f : Morphism
        Left morphism W(A) → B.
    g : Morphism
        Right morphism W(B) → C.

    Returns
    -------
    Morphism
        Composed morphism W(A) → C.
    """
    return self._comonad.cokleisli_compose(f, g)

DiagonalComonad ¶

DiagonalComonad(quantale: Quantale | None = None)

Bases: Comonad

The diagonal comonad W(A) = A × A with projection and diagonal.

ε_A: A × A → A is the first projection. δ_A: A × A → (A × A) × (A × A) is the diagonal on pairs.

This comonad models "contexts" where each element has access to a pair of values. It arises from the product adjunction Δ ⊣ ×.

PARAMETER	DESCRIPTION
`quantale`	The enrichment algebra. Defaults to PRODUCT_FUZZY. TYPE: `Quantale or None` DEFAULT: `None`

Source code in src/quivers/monadic/comonads.py

def __init__(self, quantale: Quantale | None = None) -> None:
    self._quantale = quantale if quantale is not None else PRODUCT_FUZZY
    self._functor = _DiagonalFunctor()

quantale `property` ¶

quantale: Quantale

The enrichment algebra.

endofunctor `property` ¶

endofunctor: Functor

W(A) = A × A.

counit ¶

counit(obj: SetObject) -> Morphism

ε_A: A × A → A is first projection.

PARAMETER	DESCRIPTION
`obj`	The object A. TYPE: `SetObject`

RETURNS	DESCRIPTION
`ObservedMorphism`	The projection morphism.

Source code in src/quivers/monadic/comonads.py

def counit(self, obj: SetObject) -> Morphism:
    """ε_A: A × A → A is first projection.

    Parameters
    ----------
    obj : SetObject
        The object A.

    Returns
    -------
    ObservedMorphism
        The projection morphism.
    """
    import itertools

    source = ProductSet(components=(obj, obj))
    data = torch.full((*source.shape, *obj.shape), self._quantale.zero)
    for idx in itertools.product(*(range(s) for s in obj.shape)):
        for idx2 in itertools.product(*(range(s) for s in obj.shape)):
            data[idx + idx2 + idx] = self._quantale.unit
    return observed(source, obj, data, quantale=self._quantale)

comultiply ¶

comultiply(obj: SetObject) -> Morphism

δ_A: A × A → (A × A) × (A × A) is diagonal on pairs.

Maps (a1, a2) to ((a1, a2), (a1, a2)).

PARAMETER	DESCRIPTION
`obj`	The object A. TYPE: `SetObject`

RETURNS	DESCRIPTION
`ObservedMorphism`	The comultiplication morphism.

Source code in src/quivers/monadic/comonads.py

def comultiply(self, obj: SetObject) -> Morphism:
    """δ_A: A × A → (A × A) × (A × A) is diagonal on pairs.

    Maps (a1, a2) to ((a1, a2), (a1, a2)).

    Parameters
    ----------
    obj : SetObject
        The object A.

    Returns
    -------
    ObservedMorphism
        The comultiplication morphism.
    """
    import itertools

    source = ProductSet(components=(obj, obj))
    target = ProductSet(components=(obj, obj, obj, obj))
    data = torch.full((*source.shape, *target.shape), self._quantale.zero)
    for idx1 in itertools.product(*(range(s) for s in obj.shape)):
        for idx2 in itertools.product(*(range(s) for s in obj.shape)):
            src = idx1 + idx2
            tgt = idx1 + idx2 + idx1 + idx2
            data[src + tgt] = self._quantale.unit
    return observed(source, target, data, quantale=self._quantale)

cokleisli_compose ¶

cokleisli_compose(f: Morphism, g: Morphism) -> Morphism

CoKleisli composition using the diagonal comonad.

Source code in src/quivers/monadic/comonads.py

def cokleisli_compose(self, f: Morphism, g: Morphism) -> Morphism:
    """CoKleisli composition using the diagonal comonad."""
    delta = self.comultiply(self._extract_base(f.domain))
    wf = self._functor.map_morphism(f)
    return delta >> wf >> g

CofreeComonad ¶

CofreeComonad(store: SetObject, quantale: Quantale | None = None)

Bases: Comonad

The cofree comonad W(A) = A × S for a fixed store object S.

Also known as the "store comonad" or "costate comonad" on finite sets.

ε_A: A × S → A is the first projection (extract the value). δ_A: A × S → (A × S) × S duplicates the store component.

PARAMETER	DESCRIPTION
`store`	The fixed store/environment object S. TYPE: `SetObject`
`quantale`	The enrichment algebra. Defaults to PRODUCT_FUZZY. TYPE: `Quantale or None` DEFAULT: `None`

Source code in src/quivers/monadic/comonads.py

def __init__(self, store: SetObject, quantale: Quantale | None = None) -> None:
    self._store = store
    self._quantale = quantale if quantale is not None else PRODUCT_FUZZY
    self._functor = _StoreFunctor(store)

store `property` ¶

store: SetObject

The store object S.

quantale `property` ¶

quantale: Quantale

The enrichment algebra.

endofunctor `property` ¶

endofunctor: Functor

W(A) = A × S.

counit ¶

counit(obj: SetObject) -> Morphism

ε_A: A × S → A is the first projection.

PARAMETER	DESCRIPTION
`obj`	The object A. TYPE: `SetObject`

RETURNS	DESCRIPTION
`ObservedMorphism`	The extraction morphism.

Source code in src/quivers/monadic/comonads.py

def counit(self, obj: SetObject) -> Morphism:
    """ε_A: A × S → A is the first projection.

    Parameters
    ----------
    obj : SetObject
        The object A.

    Returns
    -------
    ObservedMorphism
        The extraction morphism.
    """
    import itertools

    source = ProductSet(components=(obj, self._store))
    data = torch.full((*source.shape, *obj.shape), self._quantale.zero)
    for a_idx in itertools.product(*(range(s) for s in obj.shape)):
        for s_idx in itertools.product(*(range(s) for s in self._store.shape)):
            data[a_idx + s_idx + a_idx] = self._quantale.unit
    return observed(source, obj, data, quantale=self._quantale)

comultiply ¶

comultiply(obj: SetObject) -> Morphism

δ_A: A × S → (A × S) × S duplicates the store.

Maps (a, s) to ((a, s), s).

PARAMETER	DESCRIPTION
`obj`	The object A. TYPE: `SetObject`

RETURNS	DESCRIPTION
`ObservedMorphism`	The comultiplication morphism.

Source code in src/quivers/monadic/comonads.py

def comultiply(self, obj: SetObject) -> Morphism:
    """δ_A: A × S → (A × S) × S duplicates the store.

    Maps (a, s) to ((a, s), s).

    Parameters
    ----------
    obj : SetObject
        The object A.

    Returns
    -------
    ObservedMorphism
        The comultiplication morphism.
    """
    import itertools

    source = ProductSet(components=(obj, self._store))
    target = ProductSet(components=(obj, self._store, self._store))
    data = torch.full((*source.shape, *target.shape), self._quantale.zero)
    for a_idx in itertools.product(*(range(s) for s in obj.shape)):
        for s_idx in itertools.product(*(range(s) for s in self._store.shape)):
            src = a_idx + s_idx
            tgt = a_idx + s_idx + s_idx
            data[src + tgt] = self._quantale.unit
    return observed(source, target, data, quantale=self._quantale)

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Comonads¶

comonads ¶

Comonad ¶

endofunctor abstractmethod property ¶

counit abstractmethod ¶

comultiply abstractmethod ¶

cokleisli_compose ¶

CoKleisliCategory ¶

comonad property ¶

identity ¶

compose ¶

DiagonalComonad ¶

quantale property ¶

endofunctor property ¶

counit ¶

comultiply ¶

cokleisli_compose ¶

CofreeComonad ¶

store property ¶

quantale property ¶

endofunctor property ¶

counit ¶

comultiply ¶

endofunctor `abstractmethod` `property` ¶

counit `abstractmethod` ¶

comultiply `abstractmethod` ¶

comonad `property` ¶

quantale `property` ¶

endofunctor `property` ¶

store `property` ¶

quantale `property` ¶

endofunctor `property` ¶