Пример #1
0
    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)
Пример #2
0
    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)
Пример #3
0
    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)
Пример #4
0
    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)