def draw_pegasus_yield(G, **kwargs):
"""Draws the given graph G with highlighted faults, according to layout.
Parameters
----------
G : NetworkX graph
The graph to be parsed for faults
unused_color : tuple or color string (optional, default (0.9,0.9,0.9,1.0))
The color to use for nodes and edges of G which are not faults.
If unused_color is None, these nodes and edges will not be shown at all.
fault_color : tuple or color string (optional, default (1.0,0.0,0.0,1.0))
A color to represent nodes absent from the graph G. Colors should be
length-4 tuples of floats between 0 and 1 inclusive.
fault_shape : string, optional (default='x')
The shape of the fault nodes. Specification is as matplotlib.scatter
marker, one of 'so^>v<dph8'.
fault_style : string, optional (default='dashed')
Edge fault line style (solid|dashed|dotted,dashdot)
kwargs : optional keywords
See networkx.draw_networkx() for a description of optional keywords,
with the exception of the `pos` parameter which is not used by this
function. If `linear_biases` or `quadratic_biases` are provided,
any provided `node_color` or `edge_color` arguments are ignored.
"""
try:
assert (G.graph["family"] == "pegasus")
m = G.graph['columns']
offset_lists = (G.graph['vertical_offsets'],
G.graph['horizontal_offsets'])
coordinates = G.graph["labels"] == "coordinate"
# Can't interpret fabric_only from graph attributes
except:
raise ValueError("Target pegasus graph needs to have columns, rows, \
tile, and label attributes to be able to identify faulty qubits.")
perfect_graph = pegasus_graph(m,
offset_lists=offset_lists,
coordinates=coordinates)
draw_yield(G, pegasus_layout(perfect_graph), perfect_graph, **kwargs)
def draw_zephyr_yield(G, **kwargs):
"""Draws the given graph G with highlighted faults, according to layout.
Parameters
----------
G : NetworkX graph
Graph to be parsed for faults.
unused_color : tuple or color string (optional, default (0.9,0.9,0.9,1.0))
The color to use for nodes and edges of G which are not faults.
If unused_color is None, these nodes and edges will not be shown at all.
fault_color : tuple or color string (optional, default (1.0,0.0,0.0,1.0))
A color to represent nodes absent from the graph G. Colors should be
length-4 tuples of floats between 0 and 1 inclusive.
fault_shape : string, optional (default='x')
The shape of the fault nodes. Specification is as for
`Matplotlib's markers <https://matplotlib.org/stable/api/markers_api.html#module-matplotlib.markers>`_;
for example "o" (circle), "^" (triangle)", "s" (square) and many more
options.
fault_style : string, optional (default='dashed')
Edge fault line style (solid|dashed|dotted|dashdot)
kwargs : optional keywords
See :func:`~networkx.drawing.nx_pylab.draw_networkx` for a description of
optional keywords, with the exception of the ``pos`` parameter, which is
unsupported. If the ``linear_biases`` or ``quadratic_biases`` parameters
are provided, any provided ``node_color`` or ``edge_color`` arguments are
ignored.
"""
try:
assert (G.graph["family"] == "zephyr")
m = G.graph['columns']
t = G.graph['tile']
coordinates = G.graph["labels"] == "coordinate"
except:
raise ValueError("Target zephyr graph needs to have columns, rows, \
tile, and label attributes to be able to identify faulty qubits.")
perfect_graph = zephyr_graph(m, t, coordinates=coordinates)
draw_yield(G, zephyr_layout(perfect_graph), perfect_graph, **kwargs)