def from_adjacency(cls, input_adjacency, basepath=None):
"""
Instantiate the class using an adjacency dict or file. The input must contain relative or
absolute paths to image files.
Parameters
----------
input_adjacency : dict or str
An adjacency dictionary or the name of a file containing an adjacency dictionary.
Returns
-------
: object
A Network graph object
Examples
--------
>>> from autocnet.examples import get_path
>>> inputfile = get_path('adjacency.json')
>>> candidate_graph = network.CandidateGraph.from_adjacency(inputfile)
"""
if not isinstance(input_adjacency, dict):
input_adjacency = io_json.read_json(input_adjacency)
if basepath is not None:
for k, v in input_adjacency.items():
input_adjacency[k] = [os.path.join(basepath, i) for i in v]
input_adjacency[os.path.join(basepath, k)] = input_adjacency.pop(k)
return cls(input_adjacency)
def from_adjacency(cls, input_adjacency, basepath=None):
"""
Instantiate the class using an adjacency dict or file. The input must contain relative or
absolute paths to image files.
Parameters
----------
input_adjacency : dict or str
An adjacency dictionary or the name of a file containing an adjacency dictionary.
Returns
-------
: object
A Network graph object
Examples
--------
>>> from autocnet.examples import get_path
>>> inputfile = get_path('adjacency.json')
>>> candidate_graph = network.CandidateGraph.from_adjacency(inputfile)
"""
if not isinstance(input_adjacency, dict):
input_adjacency = io_json.read_json(input_adjacency)
if basepath is not None:
for k, v in input_adjacency.items():
input_adjacency[k] = [os.path.join(basepath, i) for i in v]
input_adjacency[os.path.join(basepath,
k)] = input_adjacency.pop(k)
return cls(input_adjacency)
def from_adjacency(cls, inputfile):
"""
Instantiate the class using an adjacency list
Parameters
==========
inputfile : str
The input file containing the graph representation
"""
#TODO: This is better as a generic reader that tries drivers until
# a valid dict is returned.
adjacency_dict = io_json.read_json(inputfile)
return cls(adjacency_dict)
def from_adjacency(cls, input_adjacency):
"""
Instantiate the class using an adjacency dict or file. The input must contain relative or
absolute paths to image files.
Parameters
----------
input_adjacency : dict or str
An adjacency dictionary or the name of a file containing an adjacency dictionary.
Returns
-------
: object
A Network graph object
Examples
--------
>>> from autocnet.examples import get_path
>>> inputfile = get_path('adjacency.json')
>>> candidate_graph = network.CandidateGraph.from_adjacency(inputfile)
"""
if not isinstance(input_adjacency, dict):
input_adjacency = io_json.read_json(input_adjacency)
return cls(input_adjacency)