from sympy.core import (Set, Basic, FiniteSet, EmptySet, Dict, Symbol,
                        Tuple)


class Class(Set):
    r"""
    The base class for any kind of class in the set-theoretic sense.

    In axiomatic set theories, everything is a class.  A class which
    can be a member of another class is a set.  A class which is not a
    member of another class is a proper class.  The class `\{1, 2\}`
    is a set; the class of all sets is a proper class.

    This class is essentially a synonym for :class:`sympy.core.Set`.
    The goal of this class is to assure easier migration to the
    eventual proper implementation of set theory.
    """
    is_proper = False


class Object(Symbol):
    """
    The base class for any kind of object in an abstract category.

    While technically any instance of :class:`Basic` will do, this
    class is the recommended way to create abstract objects in
    abstract categories.
    """


class Morphism(Basic):
    """
    The base class for any morphism in an abstract category.

    In abstract categories, a morphism is an arrow between two
    category objects.  The object where the arrow starts is called the
    domain, while the object where the arrow ends is called the
    codomain.

    Two morphisms between the same pair of objects are considered to
    be the same morphisms.  To distinguish between morphisms between
    the same objects use :class:`NamedMorphism`.

    It is prohibited to instantiate this class.  Use one of the
    derived classes instead.

    See Also
    ========

    IdentityMorphism, NamedMorphism, CompositeMorphism
    """
    def __new__(cls, domain, codomain):
        raise(NotImplementedError(
            "Cannot instantiate Morphism.  Use derived classes instead."))

    @property
    def domain(self):
        """
        Returns the domain of the morphism.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism
        >>> A = Object("A")
        >>> B = Object("B")
        >>> f = NamedMorphism(A, B, "f")
        >>> f.domain
        Object("A")

        """
        return self.args[0]

    @property
    def codomain(self):
        """
        Returns the codomain of the morphism.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism
        >>> A = Object("A")
        >>> B = Object("B")
        >>> f = NamedMorphism(A, B, "f")
        >>> f.codomain
        Object("B")

        """
        return self.args[1]

    def compose(self, other):
        r"""
        Composes self with the supplied morphism.

        The order of elements in the composition is the usual order,
        i.e., to construct `g\circ f` use ``g.compose(f)``.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> g * f
        CompositeMorphism((NamedMorphism(Object("A"), Object("B"), "f"),
        NamedMorphism(Object("B"), Object("C"), "g")))
        >>> (g * f).domain
        Object("A")
        >>> (g * f).codomain
        Object("C")

        """
        return CompositeMorphism(other, self)

    def __mul__(self, other):
        r"""
        Composes self with the supplied morphism.

        The semantics of this operation is given by the following
        equation: ``g * f == g.compose(f)`` for composable morphisms
        ``g`` and ``f``.

        See Also
        ========

        compose
        """
        return self.compose(other)


class IdentityMorphism(Morphism):
    """
    Represents an identity morphism.

    An identity morphism is a morphism with equal domain and codomain,
    which acts as an identity with respect to composition.

    Examples
    ========

    >>> from sympy.categories import Object, NamedMorphism, IdentityMorphism
    >>> A = Object("A")
    >>> B = Object("B")
    >>> f = NamedMorphism(A, B, "f")
    >>> id_A = IdentityMorphism(A)
    >>> id_B = IdentityMorphism(B)
    >>> f * id_A == f
    True
    >>> id_B * f == f
    True

    See Also
    ========

    Morphism
    """
    def __new__(cls, domain):
        return Basic.__new__(cls, domain, domain)


class NamedMorphism(Morphism):
    """
    Represents a morphism which has a name.

    Names are used to distinguish between morphisms which have the
    same domain and codomain: two named morphisms are equal if they
    have the same domains, codomains, and names.

    Examples
    ========

    >>> from sympy.categories import Object, NamedMorphism
    >>> A = Object("A")
    >>> B = Object("B")
    >>> f = NamedMorphism(A, B, "f")
    >>> f
    NamedMorphism(Object("A"), Object("B"), "f")
    >>> f.name
    'f'

    See Also
    ========

    Morphism
    """
    def __new__(cls, domain, codomain, name):
        if not name:
            raise ValueError("Empty morphism names not allowed.")

        return Basic.__new__(cls, domain, codomain, Symbol(name))

    @property
    def name(self):
        """
        Returns the name of the morphism.

        Examples
        ========
        >>> from sympy.categories import Object, NamedMorphism
        >>> A = Object("A")
        >>> B = Object("B")
        >>> f = NamedMorphism(A, B, "f")
        >>> f.name
        'f'

        """
        return self.args[2].name


class CompositeMorphism(Morphism):
    r"""
    Represents a morphism which is a composition of other morphisms.

    Two composite morphisms are equal if the morphisms they were
    obtained from (components) are the same and were listed in the
    same order.

    The arguments to the constructor for this class should be listed
    in diagram order: to obtain the composition `g\circ f` from the
    instances of :class:`Morphism` ``g`` and ``f`` use
    ``CompositeMorphism(f, g)``.

    Examples
    ========

    >>> from sympy.categories import Object, NamedMorphism, CompositeMorphism
    >>> A = Object("A")
    >>> B = Object("B")
    >>> C = Object("C")
    >>> f = NamedMorphism(A, B, "f")
    >>> g = NamedMorphism(B, C, "g")
    >>> g * f
    CompositeMorphism((NamedMorphism(Object("A"), Object("B"), "f"),
    NamedMorphism(Object("B"), Object("C"), "g")))
    >>> CompositeMorphism(f, g) == g * f
    True

    """
    @staticmethod
    def _add_morphism(t, morphism):
        """
        Intelligently adds ``morphism`` to tuple ``t``.

        If ``morphism`` is a composite morphism, its components are
        added to the tuple.  If ``morphism`` is an identity, nothing
        is added to the tuple.

        No composability checks are performed.
        """
        if isinstance(morphism, CompositeMorphism):
            # ``morphism`` is a composite morphism; we have to
            # denest its components.
            return t + morphism.components
        elif isinstance(morphism, IdentityMorphism):
            # ``morphism`` is an identity.  Nothing happens.
            return t
        else:
            return t + Tuple(morphism)

    def __new__(cls, *components):
        if components and not isinstance(components[0], Morphism):
            # Maybe the user has explicitly supplied a list of
            # morphisms.
            return CompositeMorphism.__new__(cls, *components[0])

        normalised_components = Tuple()

        # TODO: Fix the unpythonicity.
        for i in xrange(len(components) - 1):
            current = components[i]
            following = components[i + 1]

            if not isinstance(current, Morphism) or \
                    not isinstance(following, Morphism):
                raise TypeError("All components must be morphisms.")

            if current.codomain != following.domain:
                raise ValueError("Uncomposable morphisms.")

            normalised_components = CompositeMorphism._add_morphism(
                normalised_components, current)

        # We haven't added the last morphism to the list of normalised
        # components.  Add it now.
        normalised_components = CompositeMorphism._add_morphism(
            normalised_components, components[-1])

        if not normalised_components:
            # If ``normalised_components`` is empty, only identities
            # were supplied.  Since they all were composable, they are
            # all the same identities.
            return components[0]
        elif len(normalised_components) == 1:
            # No sense to construct a whole CompositeMorphism.
            return normalised_components[0]

        return Basic.__new__(cls, normalised_components)

    @property
    def components(self):
        """
        Returns the components of this composite morphism.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> (g * f).components
        (NamedMorphism(Object("A"), Object("B"), "f"),
        NamedMorphism(Object("B"), Object("C"), "g"))

        """
        return self.args[0]

    @property
    def domain(self):
        """
        Returns the domain of this composite morphism.

        The domain of the composite morphism is the domain of its
        first component.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> (g * f).domain
        Object("A")

        """
        return self.components[0].domain

    @property
    def codomain(self):
        """
        Returns the codomain of this composite morphism.

        The codomain of the composite morphism is the codomain of its
        last component.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> (g * f).codomain
        Object("C")

        """
        return self.components[-1].codomain

    def flatten(self, new_name):
        """
        Forgets the composite structure of this morphism.

        If ``new_name`` is not empty, returns a :class:`NamedMorphism`
        with the supplied name, otherwise returns a :class:`Morphism`.
        In both cases the domain of the new morphism is the domain of
        this composite morphism and the codomain of the new morphism
        is the codomain of this composite morphism.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> (g * f).flatten("h")
        NamedMorphism(Object("A"), Object("C"), "h")

        """
        return NamedMorphism(self.domain, self.codomain, new_name)


class Category(Basic):
    r"""
    An (abstract) category.

    A category [JoyOfCats] is a quadruple `\mbox{K} = (O, \hom, id,
    \circ)` consisting of

    * a (set-theoretical) class `O`, whose members are called
      `K`-objects,

    * for each pair `(A, B)` of `K`-objects, a set `\hom(A, B)` whose
      members are called `K`-morphisms from `A` to `B`,

    * for a each `K`-object `A`, a morphism `id:A\rightarrow A`,
      called the `K`-identity of `A`,

    * a composition law `\circ` associating with every `K`-morphisms
      `f:A\rightarrow B` and `g:B\rightarrow C` a `K`-morphism `g\circ
      f:A\rightarrow C`, called the composite of `f` and `g`.

    Composition is associative, `K`-identities are identities with
    respect to composition, and the sets `\hom(A, B)` are pairwise
    disjoint.

    This class knows nothing about its objects and morphisms.
    Concrete cases of (abstract) categories should be implemented as
    classes derived from this one.

    Certain instances of :class:`Diagram` can be asserted to be
    commutative in a :class:`Category` by supplying the argument
    ``commutative_diagrams`` in the constructor.

    Examples
    ========

    >>> from sympy.categories import Object, NamedMorphism, Diagram, Category
    >>> from sympy import FiniteSet
    >>> A = Object("A")
    >>> B = Object("B")
    >>> C = Object("C")
    >>> f = NamedMorphism(A, B, "f")
    >>> g = NamedMorphism(B, C, "g")
    >>> d = Diagram([f, g])
    >>> K = Category("K", commutative_diagrams=[d])
    >>> K.commutative_diagrams == FiniteSet(d)
    True

    See Also
    ========
    Diagram
    """
    def __new__(cls, name, objects=EmptySet(), commutative_diagrams=EmptySet()):
        if not name:
            raise ValueError("A Category cannot have an empty name.")

        new_category = Basic.__new__(cls, Symbol(name), Class(objects),
                                     FiniteSet(commutative_diagrams))
        return new_category

    @property
    def name(self):
        """
        Returns the name of this category.

        Examples
        ========

        >>> from sympy.categories import Category
        >>> K = Category("K")
        >>> K.name
        'K'

        """
        return self.args[0].name

    @property
    def objects(self):
        """
        Returns the class of objects of this category.

        Examples
        ========

        >>> from sympy.categories import Object, Category
        >>> from sympy import FiniteSet
        >>> A = Object("A")
        >>> B = Object("B")
        >>> K = Category("K", FiniteSet(A, B))
        >>> K.objects
        Class({Object("A"), Object("B")})

        """
        return self.args[1]

    @property
    def commutative_diagrams(self):
        """
        Returns the :class:`FiniteSet` of diagrams which are known to
        be commutative in this category.

        >>> from sympy.categories import Object, NamedMorphism, Diagram, Category
        >>> from sympy import FiniteSet
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> d = Diagram([f, g])
        >>> K = Category("K", commutative_diagrams=[d])
        >>> K.commutative_diagrams == FiniteSet(d)
        True

        """
        return self.args[2]

    def hom(self, A, B):
        raise NotImplementedError(
            "hom-sets are not implemented in Category.")

    def all_morphisms(self):
        raise NotImplementedError(
            "Obtaining the class of morphisms is not implemented in Category.")


class Diagram(Basic):
    r"""
    Represents a diagram in a certain category.

    Informally, a diagram is a collection of objects of a category and
    certain morphisms between them.  A diagram is still a monoid with
    respect to morphism composition; i.e., identity morphisms, as well
    as all composites of morphisms included in the diagram belong to
    the diagram.  For a more formal approach to this notion see
    [Pare1970].

    The components of composite morphisms are also added to the
    diagram.  No properties are assigned to such morphisms by default.

    A commutative diagram is often accompanied by a statement of the
    following kind: "if such morphisms with such properties exist,
    then such morphisms which such properties exist and the diagram is
    commutative".  To represent this, an instance of :class:`Diagram`
    includes a collection of morphisms which are the premises and
    another collection of conclusions.  ``premises`` and
    ``conclusions`` associate morphisms belonging to the corresponding
    categories with the :class:`FiniteSet`'s of their properties.

    The set of properties of a composite morphism is the intersection
    of the sets of properties of its components.  The domain and
    codomain of a conclusion morphism should be among the domains and
    codomains of the morphisms listed as the premises of a diagram.

    No checks are carried out of whether the supplied object and
    morphisms do belong to one and the same category.

    Examples
    ========

    >>> from sympy.categories import Object, NamedMorphism, Diagram
    >>> from sympy import FiniteSet, pprint, default_sort_key
    >>> A = Object("A")
    >>> B = Object("B")
    >>> C = Object("C")
    >>> f = NamedMorphism(A, B, "f")
    >>> g = NamedMorphism(B, C, "g")
    >>> d = Diagram([f, g])
    >>> premises_keys = sorted(d.premises.keys(), key=default_sort_key)
    >>> pprint(premises_keys, use_unicode=False)
    [g*f:A-->C, id:A-->A, id:B-->B, id:C-->C, f:A-->B, g:B-->C]
    >>> pprint(d.premises, use_unicode=False)
    {g*f:A-->C: EmptySet(), id:A-->A: EmptySet(), id:B-->B: EmptySet(), id:C-->C:
    EmptySet(), f:A-->B: EmptySet(), g:B-->C: EmptySet()}
    >>> d = Diagram([f, g], {g * f: "unique"})
    >>> pprint(d.conclusions)
    {g*f:A-->C: {unique}}

    References
    ==========
    [Pare1970] B. Pareigis: Categories and functors.  Academic Press,
    1970.
    """
    @staticmethod
    def _set_dict_union(dictionary, key, value):
        """
        If ``key`` is in ``dictionary``, set the new value of ``key``
        to be the union between the old value and ``value``.
        Otherwise, set the value of ``key`` to ``value.

        Returns ``True`` if the key already was in the dictionary and
        ``False`` otherwise.
        """
        if key in dictionary:
            dictionary[key] = dictionary[key] | value
            return True
        else:
            dictionary[key] = value
            return False

    @staticmethod
    def _add_morphism_closure(morphisms, morphism, props, add_identities=True,
                              recurse_composites=True):
        """
        Adds a morphism and its attributes to the supplied dictionary
        ``morphisms``.  If ``add_identities`` is True, also adds the
        identity morphisms for the domain and the codomain of
        ``morphism``.
        """
        if not Diagram._set_dict_union(morphisms, morphism, props):
            # We have just added a new morphism.

            if isinstance(morphism, IdentityMorphism):
                if props:
                    # Properties for identity morphisms don't really
                    # make sense, because very much is known about
                    # identity morphisms already, so much that they
                    # are trivial.  Having properties for identity
                    # morphisms would only be confusing.
                    raise ValueError(
                        "Instances of IdentityMorphism cannot have properties.")
                return

            if add_identities:
                empty = EmptySet()

                id_dom = IdentityMorphism(morphism.domain)
                id_cod = IdentityMorphism(morphism.codomain)

                Diagram._set_dict_union(morphisms, id_dom, empty)
                Diagram._set_dict_union(morphisms, id_cod, empty)

            for existing_morphism, existing_props in morphisms.items():
                new_props = existing_props & props
                if morphism.domain == existing_morphism.codomain:
                    left = morphism * existing_morphism
                    Diagram._set_dict_union(morphisms, left, new_props)
                if morphism.codomain == existing_morphism.domain:
                    right = existing_morphism * morphism
                    Diagram._set_dict_union(morphisms, right, new_props)

            if isinstance(morphism, CompositeMorphism) and recurse_composites:
                # This is a composite morphism, add its components as
                # well.
                empty = EmptySet()
                for component in morphism.components:
                    Diagram._add_morphism_closure(morphisms, component, empty,
                                                  add_identities)

    def __new__(cls, *args):
        """
        Construct a new instance of Diagram.

        If no arguments are supplied, an empty diagram is created.

        If at least an argument is supplied, ``args[0]`` is
        interpreted as the premises of the diagram.  If ``args[0]`` is
        a list, it is interpreted as a list of :class:`Morphism`'s, in
        which each :class:`Morphism` has an empty set of properties.
        If ``args[0]`` is a Python dictionary or a :class:`Dict`, it
        is interpreted as a dictionary associating to some
        :class:`Morphism`'s some properties.

        If at least two arguments are supplied ``args[1]`` is
        interpreted as the conclusions of the diagram.  The type of
        ``args[1]`` is interpreted in exactly the same way as the type
        of ``args[0]``.  If only one argument is supplied, the diagram
        has no conclusions.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism
        >>> from sympy.categories import IdentityMorphism, Diagram
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> d = Diagram([f, g])
        >>> IdentityMorphism(A) in d.premises.keys()
        True
        >>> g * f in d.premises.keys()
        True
        >>> d = Diagram([f, g], {g * f: "unique"})
        >>> d.conclusions[g * f]
        {unique}

        """
        premises = {}
        conclusions = {}

        # Here we will keep track of the objects which appear in the
        # premises.
        objects = EmptySet()

        if len(args) >= 1:
            # We've got some premises in the arguments.
            premises_arg = args[0]

            if isinstance(premises_arg, list):
                # The user has supplied a list of morphisms, none of
                # which have any attributes.
                empty = EmptySet()

                for morphism in premises_arg:
                    objects |= FiniteSet(morphism.domain, morphism.codomain)
                    Diagram._add_morphism_closure(premises, morphism, empty)
            elif isinstance(premises_arg, dict) or isinstance(premises_arg, Dict):
                # The user has supplied a dictionary of morphisms and
                # their properties.
                for morphism, props in premises_arg.items():
                    objects |= FiniteSet(morphism.domain, morphism.codomain)
                    Diagram._add_morphism_closure(
                        premises, morphism, FiniteSet(props))

        if len(args) >= 2:
            # We also have some conclusions.
            conclusions_arg = args[1]

            if isinstance(conclusions_arg, list):
                # The user has supplied a list of morphisms, none of
                # which have any attributes.
                empty = EmptySet()

                for morphism in conclusions_arg:
                    # Check that no new objects appear in conclusions.
                    if (morphism.domain in objects) and \
                       (morphism.codomain in objects):
                        # No need to add identities and recurse
                        # composites this time.
                        Diagram._add_morphism_closure(
                            conclusions, morphism, empty, add_identities=False,
                            recurse_composites=False)
            elif isinstance(conclusions_arg, dict) or \
                    isinstance(conclusions_arg, Dict):
                # The user has supplied a dictionary of morphisms and
                # their properties.
                for morphism, props in conclusions_arg.items():
                    # Check that no new objects appear in conclusions.
                    if (morphism.domain in objects) and \
                       (morphism.codomain in objects):
                        # No need to add identities and recurse
                        # composites this time.
                        Diagram._add_morphism_closure(
                            conclusions, morphism, FiniteSet(props),
                            add_identities=False, recurse_composites=False)

        return Basic.__new__(cls, Dict(premises), Dict(conclusions), objects)

    @property
    def premises(self):
        """
        Returns the premises of this diagram.

        Examples
        ========
        >>> from sympy.categories import Object, NamedMorphism
        >>> from sympy.categories import IdentityMorphism, Diagram
        >>> from sympy import pretty
        >>> A = Object("A")
        >>> B = Object("B")
        >>> f = NamedMorphism(A, B, "f")
        >>> id_A = IdentityMorphism(A)
        >>> id_B = IdentityMorphism(B)
        >>> d = Diagram([f])
        >>> print pretty(d.premises, use_unicode=False)
        {id:A-->A: EmptySet(), id:B-->B: EmptySet(), f:A-->B: EmptySet()}

        """
        return self.args[0]

    @property
    def conclusions(self):
        """
        Returns the conclusions of this diagram.

        Examples
        ========
        >>> from sympy.categories import Object, NamedMorphism
        >>> from sympy.categories import IdentityMorphism, Diagram
        >>> from sympy import FiniteSet
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> d = Diagram([f, g])
        >>> IdentityMorphism(A) in d.premises.keys()
        True
        >>> g * f in d.premises.keys()
        True
        >>> d = Diagram([f, g], {g * f: "unique"})
        >>> d.conclusions[g * f] == FiniteSet("unique")
        True

        """
        return self.args[1]

    @property
    def objects(self):
        """
        Returns the :class:`FiniteSet` of objects that appear in this
        diagram.

        Examples
        ========
        >>> from sympy.categories import Object, NamedMorphism, Diagram
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> d = Diagram([f, g])
        >>> d.objects
        {Object("A"), Object("B"), Object("C")}

        """
        return self.args[2]

    def hom(self, A, B):
        """
        Returns a 2-tuple of sets of morphisms between objects A and
        B: one set of morphisms listed as premises, and the other set
        of morphisms listed as conclusions.

        Examples
        ========

        >>> from sympy.categories import Object, NamedMorphism, Diagram
        >>> from sympy import pretty
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> d = Diagram([f, g], {g * f: "unique"})
        >>> print pretty(d.hom(A, C), use_unicode=False)
        ({g*f:A-->C}, {g*f:A-->C})

        See Also
        ========
        Object, Morphism
        """
        premises = EmptySet()
        conclusions = EmptySet()

        for morphism in self.premises.keys():
            if (morphism.domain == A) and (morphism.codomain == B):
                premises |= FiniteSet(morphism)
        for morphism in self.conclusions.keys():
            if (morphism.domain == A) and (morphism.codomain == B):
                conclusions |= FiniteSet(morphism)

        return (premises, conclusions)

    def is_subdiagram(self, diagram):
        """
        Checks whether ``diagram`` is a subdiagram of ``self``.
        Diagram `D'` is a subdiagram of `D` if all premises
        (conclusions) of `D'` are contained in the premises
        (conclusions) of `D`.  The morphisms contained
        both in `D'` and `D` should have the same properties for `D'`
        to be a subdiagram of `D`.

        Examples
        ========
        >>> from sympy.categories import Object, NamedMorphism, Diagram
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> d = Diagram([f, g], {g * f: "unique"})
        >>> d1 = Diagram([f])
        >>> d.is_subdiagram(d1)
        True
        >>> d1.is_subdiagram(d)
        False
        """
        premises = all([(m in self.premises) and
                        (diagram.premises[m] == self.premises[m])
                        for m in diagram.premises])
        if not premises:
            return False

        conclusions = all([(m in self.conclusions) and
                           (diagram.conclusions[m] == self.conclusions[m])
                        for m in diagram.conclusions])

        # Premises is surely ``True`` here.
        return conclusions

    def subdiagram_from_objects(self, objects):
        """
        If ``objects`` is a subset of the objects of ``self``, returns
        a diagram which has as premises all those premises of ``self``
        which have a domains and codomains in ``objects``, likewise
        for conclusions.  Properties are preserved.

        Examples
        ========
        >>> from sympy.categories import Object, NamedMorphism, Diagram
        >>> from sympy import FiniteSet
        >>> A = Object("A")
        >>> B = Object("B")
        >>> C = Object("C")
        >>> f = NamedMorphism(A, B, "f")
        >>> g = NamedMorphism(B, C, "g")
        >>> d = Diagram([f, g], {f: "unique", g*f: "veryunique"})
        >>> d1 = d.subdiagram_from_objects(FiniteSet(A, B))
        >>> d1 == Diagram([f], {f: "unique"})
        True
        """
        if not self.objects.subset(objects):
            raise ValueError(
                "Supplied objects should all belong to the diagram.")

        new_premises = {}
        for morphism, props in self.premises.items():
            if (morphism.domain in objects) and (morphism.codomain in objects):
                new_premises[morphism] = props

        new_conclusions = {}
        for morphism, props in self.conclusions.items():
            if (morphism.domain in objects) and (morphism.codomain in objects):
                new_conclusions[morphism] = props

        return Diagram(new_premises, new_conclusions)
