diff env/lib/python3.7/site-packages/networkx/exception.py @ 5:9b1c78e6ba9c draft default tip

"planemo upload commit 6c0a8142489327ece472c84e558c47da711a9142"

--- a/env/lib/python3.7/site-packages/networkx/exception.py	Thu May 14 16:47:39 2020 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,138 +0,0 @@
-# -*- coding: utf-8 -*-
-#    Copyright (C) 2004-2019 by
-#    Aric Hagberg <[e-mail]>
-#    Dan Schult <[e-mail]>
-#    Pieter Swart <[e-mail]>
-#    All rights reserved.
-#    BSD license.
-#
-# Authors:
-#    Aric Hagberg <[e-mail]>
-#    Pieter Swart <[e-mail]>
-#    Dan Schult <[e-mail]>
-#    Loïc Séguin-C. <[e-mail]>
-"""
-**********
-Exceptions
-**********
-
-Base exceptions and errors for NetworkX.
-"""
-
-__all__ = [
-    'HasACycle',
-    'NodeNotFound',
-    'PowerIterationFailedConvergence',
-    'ExceededMaxIterations',
-    'AmbiguousSolution',
-    'NetworkXAlgorithmError',
-    'NetworkXException',
-    'NetworkXError',
-    'NetworkXNoCycle',
-    'NetworkXNoPath',
-    'NetworkXNotImplemented',
-    'NetworkXPointlessConcept',
-    'NetworkXUnbounded',
-    'NetworkXUnfeasible',
-]
-
-
-class NetworkXException(Exception):
-    """Base class for exceptions in NetworkX."""
-
-
-class NetworkXError(NetworkXException):
-    """Exception for a serious error in NetworkX"""
-
-
-class NetworkXPointlessConcept(NetworkXException):
-    """Raised when a null graph is provided as input to an algorithm
-    that cannot use it.
-
-    The null graph is sometimes considered a pointless concept [1]_,
-    thus the name of the exception.
-
-    References
-    ----------
-    .. [1] Harary, F. and Read, R. "Is the Null Graph a Pointless
-       Concept?"  In Graphs and Combinatorics Conference, George
-       Washington University.  New York: Springer-Verlag, 1973.
-
-    """
-
-
-class NetworkXAlgorithmError(NetworkXException):
-    """Exception for unexpected termination of algorithms."""
-
-
-class NetworkXUnfeasible(NetworkXAlgorithmError):
-    """Exception raised by algorithms trying to solve a problem
-    instance that has no feasible solution."""
-
-
-class NetworkXNoPath(NetworkXUnfeasible):
-    """Exception for algorithms that should return a path when running
-    on graphs where such a path does not exist."""
-
-
-class NetworkXNoCycle(NetworkXUnfeasible):
-    """Exception for algorithms that should return a cycle when running
-    on graphs where such a cycle does not exist."""
-
-
-class HasACycle(NetworkXException):
-    """Raised if a graph has a cycle when an algorithm expects that it
-    will have no cycles.
-
-    """
-
-
-class NetworkXUnbounded(NetworkXAlgorithmError):
-    """Exception raised by algorithms trying to solve a maximization
-    or a minimization problem instance that is unbounded."""
-
-
-class NetworkXNotImplemented(NetworkXException):
-    """Exception raised by algorithms not implemented for a type of graph."""
-
-
-class NodeNotFound(NetworkXException):
-    """Exception raised if requested node is not present in the graph"""
-
-
-class AmbiguousSolution(NetworkXException):
-    """Raised if more than one valid solution exists for an intermediary step
-    of an algorithm.
-
-    In the face of ambiguity, refuse the temptation to guess.
-    This may occur, for example, when trying to determine the
-    bipartite node sets in a disconnected bipartite graph when
-    computing bipartite matchings.
-
-    """
-
-
-class ExceededMaxIterations(NetworkXException):
-    """Raised if a loop iterates too many times without breaking.
-
-    This may occur, for example, in an algorithm that computes
-    progressively better approximations to a value but exceeds an
-    iteration bound specified by the user.
-
-    """
-
-
-class PowerIterationFailedConvergence(ExceededMaxIterations):
-    """Raised when the power iteration method fails to converge within a
-    specified iteration limit.
-
-    `num_iterations` is the number of iterations that have been
-    completed when this exception was raised.
-
-    """
-
-    def __init__(self, num_iterations, *args, **kw):
-        msg = 'power iteration failed to converge within {} iterations'
-        exception_message = msg.format(num_iterations)
-        superinit = super(PowerIterationFailedConvergence, self).__init__
-        superinit(self, exception_message, *args, **kw)