PyCTBN/venv/lib/python3.9/site-packages/networkx/drawing/nx_agraph.py

"""
***************
Graphviz AGraph
***************

Interface to pygraphviz AGraph class.

Examples
--------
>>> G = nx.complete_graph(5)
>>> A = nx.nx_agraph.to_agraph(G)
>>> H = nx.nx_agraph.from_agraph(A)

See Also
--------
Pygraphviz: http://pygraphviz.github.io/
"""
import os
import tempfile
import networkx as nx

__all__ = [
    "from_agraph",
    "to_agraph",
    "write_dot",
    "read_dot",
    "graphviz_layout",
    "pygraphviz_layout",
    "view_pygraphviz",
]


def from_agraph(A, create_using=None):
    """Returns a NetworkX Graph or DiGraph from a PyGraphviz graph.

    Parameters
    ----------
    A : PyGraphviz AGraph
      A graph created with PyGraphviz

    create_using : NetworkX graph constructor, optional (default=None)
       Graph type to create. If graph instance, then cleared before populated.
       If `None`, then the appropriate Graph type is inferred from `A`.

    Examples
    --------
    >>> K5 = nx.complete_graph(5)
    >>> A = nx.nx_agraph.to_agraph(K5)
    >>> G = nx.nx_agraph.from_agraph(A)

    Notes
    -----
    The Graph G will have a dictionary G.graph_attr containing
    the default graphviz attributes for graphs, nodes and edges.

    Default node attributes will be in the dictionary G.node_attr
    which is keyed by node.

    Edge attributes will be returned as edge data in G.  With
    edge_attr=False the edge data will be the Graphviz edge weight
    attribute or the value 1 if no edge weight attribute is found.

    """
    if create_using is None:
        if A.is_directed():
            if A.is_strict():
                create_using = nx.DiGraph
            else:
                create_using = nx.MultiDiGraph
        else:
            if A.is_strict():
                create_using = nx.Graph
            else:
                create_using = nx.MultiGraph

    # assign defaults
    N = nx.empty_graph(0, create_using)
    if A.name is not None:
        N.name = A.name

    # add graph attributes
    N.graph.update(A.graph_attr)

    # add nodes, attributes to N.node_attr
    for n in A.nodes():
        str_attr = {str(k): v for k, v in n.attr.items()}
        N.add_node(str(n), **str_attr)

    # add edges, assign edge data as dictionary of attributes
    for e in A.edges():
        u, v = str(e[0]), str(e[1])
        attr = dict(e.attr)
        str_attr = {str(k): v for k, v in attr.items()}
        if not N.is_multigraph():
            if e.name is not None:
                str_attr["key"] = e.name
            N.add_edge(u, v, **str_attr)
        else:
            N.add_edge(u, v, key=e.name, **str_attr)

    # add default attributes for graph, nodes, and edges
    # hang them on N.graph_attr
    N.graph["graph"] = dict(A.graph_attr)
    N.graph["node"] = dict(A.node_attr)
    N.graph["edge"] = dict(A.edge_attr)
    return N


def to_agraph(N):
    """Returns a pygraphviz graph from a NetworkX graph N.

    Parameters
    ----------
    N : NetworkX graph
      A graph created with NetworkX

    Examples
    --------
    >>> K5 = nx.complete_graph(5)
    >>> A = nx.nx_agraph.to_agraph(K5)

    Notes
    -----
    If N has an dict N.graph_attr an attempt will be made first
    to copy properties attached to the graph (see from_agraph)
    and then updated with the calling arguments if any.

    """
    try:
        import pygraphviz
    except ImportError as e:
        raise ImportError("requires pygraphviz " "http://pygraphviz.github.io/") from e
    directed = N.is_directed()
    strict = nx.number_of_selfloops(N) == 0 and not N.is_multigraph()
    A = pygraphviz.AGraph(name=N.name, strict=strict, directed=directed)

    # default graph attributes
    A.graph_attr.update(N.graph.get("graph", {}))
    A.node_attr.update(N.graph.get("node", {}))
    A.edge_attr.update(N.graph.get("edge", {}))

    A.graph_attr.update(
        (k, v) for k, v in N.graph.items() if k not in ("graph", "node", "edge")
    )

    # add nodes
    for n, nodedata in N.nodes(data=True):
        A.add_node(n)
        # Add node data
        a = A.get_node(n)
        a.attr.update({k: str(v) for k, v in nodedata.items()})

    # loop over edges
    if N.is_multigraph():
        for u, v, key, edgedata in N.edges(data=True, keys=True):
            str_edgedata = {k: str(v) for k, v in edgedata.items() if k != "key"}
            A.add_edge(u, v, key=str(key))
            # Add edge data
            a = A.get_edge(u, v)
            a.attr.update(str_edgedata)

    else:
        for u, v, edgedata in N.edges(data=True):
            str_edgedata = {k: str(v) for k, v in edgedata.items()}
            A.add_edge(u, v)
            # Add edge data
            a = A.get_edge(u, v)
            a.attr.update(str_edgedata)

    return A


def write_dot(G, path):
    """Write NetworkX graph G to Graphviz dot format on path.

    Parameters
    ----------
    G : graph
       A networkx graph
    path : filename
       Filename or file handle to write
    """
    A = to_agraph(G)
    A.write(path)
    A.clear()
    return


def read_dot(path):
    """Returns a NetworkX graph from a dot file on path.

    Parameters
    ----------
    path : file or string
       File name or file handle to read.
    """
    try:
        import pygraphviz
    except ImportError as e:
        raise ImportError(
            "read_dot() requires pygraphviz " "http://pygraphviz.github.io/"
        ) from e
    A = pygraphviz.AGraph(file=path)
    gr = from_agraph(A)
    A.clear()
    return gr


def graphviz_layout(G, prog="neato", root=None, args=""):
    """Create node positions for G using Graphviz.

    Parameters
    ----------
    G : NetworkX graph
      A graph created with NetworkX
    prog : string
      Name of Graphviz layout program
    root : string, optional
      Root node for twopi layout
    args : string, optional
      Extra arguments to Graphviz layout program

    Returns
    -------
      Dictionary of x, y, positions keyed by node.

    Examples
    --------
    >>> G = nx.petersen_graph()
    >>> pos = nx.nx_agraph.graphviz_layout(G)
    >>> pos = nx.nx_agraph.graphviz_layout(G, prog="dot")

    Notes
    -----
    This is a wrapper for pygraphviz_layout.
    """
    return pygraphviz_layout(G, prog=prog, root=root, args=args)


def pygraphviz_layout(G, prog="neato", root=None, args=""):
    """Create node positions for G using Graphviz.

    Parameters
    ----------
    G : NetworkX graph
      A graph created with NetworkX
    prog : string
      Name of Graphviz layout program
    root : string, optional
      Root node for twopi layout
    args : string, optional
      Extra arguments to Graphviz layout program

    Returns
    -------
    node_pos : dict
      Dictionary of x, y, positions keyed by node.

    Examples
    --------
    >>> G = nx.petersen_graph()
    >>> pos = nx.nx_agraph.graphviz_layout(G)
    >>> pos = nx.nx_agraph.graphviz_layout(G, prog="dot")

    Notes
    -----
    If you use complex node objects, they may have the same string
    representation and GraphViz could treat them as the same node.
    The layout may assign both nodes a single location. See Issue #1568
    If this occurs in your case, consider relabeling the nodes just
    for the layout computation using something similar to::

        >>> H = nx.convert_node_labels_to_integers(G, label_attribute="node_label")
        >>> H_layout = nx.nx_agraph.pygraphviz_layout(G, prog="dot")
        >>> G_layout = {H.nodes[n]["node_label"]: p for n, p in H_layout.items()}

    """
    try:
        import pygraphviz
    except ImportError as e:
        raise ImportError("requires pygraphviz " "http://pygraphviz.github.io/") from e
    if root is not None:
        args += f"-Groot={root}"
    A = to_agraph(G)
    A.layout(prog=prog, args=args)
    node_pos = {}
    for n in G:
        node = pygraphviz.Node(A, n)
        try:
            xs = node.attr["pos"].split(",")
            node_pos[n] = tuple(float(x) for x in xs)
        except:
            print("no position for node", n)
            node_pos[n] = (0.0, 0.0)
    return node_pos


@nx.utils.open_file(5, "w+b")
def view_pygraphviz(
    G, edgelabel=None, prog="dot", args="", suffix="", path=None, show=True
):
    """Views the graph G using the specified layout algorithm.

    Parameters
    ----------
    G : NetworkX graph
        The machine to draw.
    edgelabel : str, callable, None
        If a string, then it specifes the edge attribute to be displayed
        on the edge labels. If a callable, then it is called for each
        edge and it should return the string to be displayed on the edges.
        The function signature of `edgelabel` should be edgelabel(data),
        where `data` is the edge attribute dictionary.
    prog : string
        Name of Graphviz layout program.
    args : str
        Additional arguments to pass to the Graphviz layout program.
    suffix : str
        If `filename` is None, we save to a temporary file.  The value of
        `suffix` will appear at the tail end of the temporary filename.
    path : str, None
        The filename used to save the image.  If None, save to a temporary
        file.  File formats are the same as those from pygraphviz.agraph.draw.
    show : bool, default = True
        Whether to display the graph with `networkx.utils.default_opener`,
        default is `True`. If `False`, the rendered graph is still available
        at `path`.

    Returns
    -------
    path : str
        The filename of the generated image.
    A : PyGraphviz graph
        The PyGraphviz graph instance used to generate the image.

    Notes
    -----
    If this function is called in succession too quickly, sometimes the
    image is not displayed. So you might consider time.sleep(.5) between
    calls if you experience problems.

    """
    if not len(G):
        raise nx.NetworkXException("An empty graph cannot be drawn.")

    # If we are providing default values for graphviz, these must be set
    # before any nodes or edges are added to the PyGraphviz graph object.
    # The reason for this is that default values only affect incoming objects.
    # If you change the default values after the objects have been added,
    # then they inherit no value and are set only if explicitly set.

    # to_agraph() uses these values.
    attrs = ["edge", "node", "graph"]
    for attr in attrs:
        if attr not in G.graph:
            G.graph[attr] = {}

    # These are the default values.
    edge_attrs = {"fontsize": "10"}
    node_attrs = {
        "style": "filled",
        "fillcolor": "#0000FF40",
        "height": "0.75",
        "width": "0.75",
        "shape": "circle",
    }
    graph_attrs = {}

    def update_attrs(which, attrs):
        # Update graph attributes. Return list of those which were added.
        added = []
        for k, v in attrs.items():
            if k not in G.graph[which]:
                G.graph[which][k] = v
                added.append(k)

    def clean_attrs(which, added):
        # Remove added attributes
        for attr in added:
            del G.graph[which][attr]
        if not G.graph[which]:
            del G.graph[which]

    # Update all default values
    update_attrs("edge", edge_attrs)
    update_attrs("node", node_attrs)
    update_attrs("graph", graph_attrs)

    # Convert to agraph, so we inherit default values
    A = to_agraph(G)

    # Remove the default values we added to the original graph.
    clean_attrs("edge", edge_attrs)
    clean_attrs("node", node_attrs)
    clean_attrs("graph", graph_attrs)

    # If the user passed in an edgelabel, we update the labels for all edges.
    if edgelabel is not None:
        if not hasattr(edgelabel, "__call__"):

            def func(data):
                return "".join(["  ", str(data[edgelabel]), "  "])

        else:
            func = edgelabel

        # update all the edge labels
        if G.is_multigraph():
            for u, v, key, data in G.edges(keys=True, data=True):
                # PyGraphviz doesn't convert the key to a string. See #339
                edge = A.get_edge(u, v, str(key))
                edge.attr["label"] = str(func(data))
        else:
            for u, v, data in G.edges(data=True):
                edge = A.get_edge(u, v)
                edge.attr["label"] = str(func(data))

    if path is None:
        ext = "png"
        if suffix:
            suffix = f"_{suffix}.{ext}"
        else:
            suffix = f".{ext}"
        path = tempfile.NamedTemporaryFile(suffix=suffix, delete=False)
    else:
        # Assume the decorator worked and it is a file-object.
        pass

    # Write graph to file
    A.draw(path=path, format=None, prog=prog, args=args)
    path.close()

    # Show graph in a new window (depends on platform configuration)
    if show:
        nx.utils.default_opener(path.name)

    return path.name, A


def display_pygraphviz(graph, path, format=None, prog=None, args=""):
    """Internal function to display a graph in OS dependent manner.

    Parameters
    ----------
    graph : PyGraphviz graph
        A PyGraphviz AGraph instance.
    path :  file object
        An already opened file object that will be closed.
    format : str, None
        An attempt is made to guess the output format based on the extension
        of the filename. If that fails, the value of `format` is used.
    prog : string
        Name of Graphviz layout program.
    args : str
        Additional arguments to pass to the Graphviz layout program.

    Notes
    -----
    If this function is called in succession too quickly, sometimes the
    image is not displayed. So you might consider time.sleep(.5) between
    calls if you experience problems.

    """
    import warnings

    warnings.warn(
        "display_pygraphviz is deprecated and will be removed in NetworkX 3.0. "
        "To view a graph G using pygraphviz, use nx.nx_agraph.view_pygraphviz(G). "
        "To view a graph from file, consider nx.utils.default_opener(filename).",
        DeprecationWarning,
    )
    if format is None:
        filename = path.name
        format = os.path.splitext(filename)[1].lower()[1:]
    if not format:
        # Let the draw() function use its default
        format = None

    # Save to a file and display in the default viewer.
    # We must close the file before viewing it.
    graph.draw(path, format, prog, args)
    path.close()
    nx.utils.default_opener(filename)