utils/graph_shortest_path.pypy3-71-x86_64-linux-gnu.so

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Routines for performing shortest-path graph searches

The main interface is in the function `graph_shortest_path`.  This
calls cython routines that compute the shortest path using either
the Floyd-Warshall algorithm, or Dykstra's algorithm with Fibonacci Heaps.
ndarray is not C contiguousunrecognized method '%s'graph_shortest_pathcline_in_tracebackisspmatrix_csrscipy.sparseRuntimeErrordist_matrixImportErrorisspmatrixcsr_matrixValueErrordirectedtoarrayindicesfloat64asarraymethodindptr__import__zeroswheretocsrshaperangeordernumpyisinfint32graphdtypeITYPEDTYPE__test____name____main__flatdataautoinfnpNkFWTNDCBuffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectDoes not understand character buffer dtype format string ('%c')Cannot convert %.200s to %.200ssklearn/utils/graph_shortest_path.c__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__%.4s__ returned non-%.4s (type %.200s)value too large to convert to intUnexpected format string character: '%c'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringExpected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Buffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)calling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionsklearn/utils/graph_shortest_path.pyxsklearn.utils.graph_shortest_path.floyd_warshallsklearn.utils.graph_shortest_path.dijkstra_directed_one_rowsklearn.utils.graph_shortest_path.dijkstra_one_rowsklearn.utils.graph_shortest_path.dijkstra%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'sklearn.utils.graph_shortest_path.graph_shortest_path%.200s() takes %.8s %zd positional argument%.1s (%zd given)sklearn.utils.graph_shortest_pathcompiletime version %s of module '%.100s' does not match runtime version %s_ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule compiled against API version 0x%x but this version of numpy is 0x%xFATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimeinit sklearn.utils.graph_shortest_pathð¿;ìxBÿÿèGÿÿ0øGÿÿÈðHÿÿØ;Iÿÿ°ôIÿÿHx`ÿÿHø`ÿÿ`cÿÿxeÿÿeÿÿ¨(fÿÿ xfÿÿ8ÈfÿÿP8gÿÿhgÿÿ (hÿÿXhÿÿ mÿÿðxnÿÿoÿÿ0¸tÿÿXzÿÿx|ÿÿ8}ÿÿÐX~ÿÿHÿÿHÅÿÿèzRx$hAÿÿpFJw?;*3$"D°Fÿÿ\(_ÿÿzt_ÿÿbÿÿx¤pcÿÿy¼ØcÿÿDK
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ê!`%8(	þÿÿoÿÿÿoðÿÿo*ùÿÿo~Xý ¦-¶-Æ-Ö-æ-ö-..&.6.F.V.f.v...¦.¶.Æ.Ö.æ.ö.//&/6/F/V/f/v///¦/¶/Æ/Ö/æ/ö/00&060F0V0f0v000¦0¶0Æ0Ö0æ0ö011&161F1V1f1v111¦1¶1Æ1Ö1æ1ö122&262F2V2f2v222¦2¶2Æ2Ö2æ2ö2à!
    Perform a shortest-path graph search on a positive directed or
    undirected graph.

    Parameters
    ----------
    dist_matrix : arraylike or sparse matrix, shape = (N,N)
        Array of positive distances.
        If vertex i is connected to vertex j, then dist_matrix[i,j] gives
        the distance between the vertices.
        If vertex i is not connected to vertex j, then dist_matrix[i,j] = 0
    directed : boolean
        if True, then find the shortest path on a directed graph: only
        progress from a point to its neighbors, not the other way around.
        if False, then find the shortest path on an undirected graph: the
        algorithm can progress from a point to its neighbors and vice versa.
    method : string ['auto'|'FW'|'D']
        method to use.  Options are
        'auto' : attempt to choose the best method for the current problem
        'FW' : Floyd-Warshall algorithm.  O[N^3]
        'D' : Dijkstra's algorithm with Fibonacci stacks.  O[(k+log(N))N^2]

    Returns
    -------
    G : np.ndarray, float, shape = [N,N]
        G[i,j] gives the shortest distance from point i to point j
        along the graph.

    Notes
    -----
    As currently implemented, Dijkstra's algorithm does not work for
    graphs with direction-dependent distances when directed == False.
    i.e., if dist_matrix[i,j] and dist_matrix[j,i] are not equal and
    both are nonzero, method='D' will not necessarily yield the correct
    result.

    Also, these routines have not been tested for graphs with negative
    distances.  Negative distances can lead to infinite cycles that must
    be handled by specialized algorithms.
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aaronreidsmith / scikit-learn python

Version: 0.22

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