Mercurial > repos > shellac > guppy_basecaller

annotate env/lib/python3.7/site-packages/networkx/exception.py @ 3:758bc20232e8 draft

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"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author shellac
date Thu, 14 May 2020 16:20:52 -0400
parents 26e78fe6e8c4
children
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1 # -*- coding: utf-8 -*-
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2 # Copyright (C) 2004-2019 by
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3 # Aric Hagberg <hagberg@lanl.gov>
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4 # Dan Schult <dschult@colgate.edu>
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5 # Pieter Swart <swart@lanl.gov>
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6 # All rights reserved.
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7 # BSD license.
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8 #
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9 # Authors:
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10 # Aric Hagberg <hagberg@lanl.gov>
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11 # Pieter Swart <swart@lanl.gov>
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12 # Dan Schult <dschult@colgate.edu>
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13 # Loïc Séguin-C. <loicseguin@gmail.com>
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14 """
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15 **********
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16 Exceptions
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17 **********
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18
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19 Base exceptions and errors for NetworkX.
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20 """
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21
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22 __all__ = [
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23 'HasACycle',
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24 'NodeNotFound',
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25 'PowerIterationFailedConvergence',
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26 'ExceededMaxIterations',
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27 'AmbiguousSolution',
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28 'NetworkXAlgorithmError',
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29 'NetworkXException',
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30 'NetworkXError',
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31 'NetworkXNoCycle',
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32 'NetworkXNoPath',
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33 'NetworkXNotImplemented',
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34 'NetworkXPointlessConcept',
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35 'NetworkXUnbounded',
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36 'NetworkXUnfeasible',
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37 ]
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38
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39
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40 class NetworkXException(Exception):
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41 """Base class for exceptions in NetworkX."""
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42
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43
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44 class NetworkXError(NetworkXException):
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45 """Exception for a serious error in NetworkX"""
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46
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47
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48 class NetworkXPointlessConcept(NetworkXException):
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49 """Raised when a null graph is provided as input to an algorithm
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50 that cannot use it.
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51
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52 The null graph is sometimes considered a pointless concept [1]_,
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53 thus the name of the exception.
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54
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55 References
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56 ----------
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57 .. [1] Harary, F. and Read, R. "Is the Null Graph a Pointless
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58 Concept?" In Graphs and Combinatorics Conference, George
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59 Washington University. New York: Springer-Verlag, 1973.
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60
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61 """
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62
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63
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64 class NetworkXAlgorithmError(NetworkXException):
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65 """Exception for unexpected termination of algorithms."""
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66
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67
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68 class NetworkXUnfeasible(NetworkXAlgorithmError):
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69 """Exception raised by algorithms trying to solve a problem
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70 instance that has no feasible solution."""
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71
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72
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73 class NetworkXNoPath(NetworkXUnfeasible):
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74 """Exception for algorithms that should return a path when running
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75 on graphs where such a path does not exist."""
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76
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77
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78 class NetworkXNoCycle(NetworkXUnfeasible):
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79 """Exception for algorithms that should return a cycle when running
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80 on graphs where such a cycle does not exist."""
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81
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82
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83 class HasACycle(NetworkXException):
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84 """Raised if a graph has a cycle when an algorithm expects that it
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85 will have no cycles.
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86
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87 """
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88
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89
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90 class NetworkXUnbounded(NetworkXAlgorithmError):
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91 """Exception raised by algorithms trying to solve a maximization
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92 or a minimization problem instance that is unbounded."""
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93
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94
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95 class NetworkXNotImplemented(NetworkXException):
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96 """Exception raised by algorithms not implemented for a type of graph."""
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97
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98
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99 class NodeNotFound(NetworkXException):
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100 """Exception raised if requested node is not present in the graph"""
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101
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102
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103 class AmbiguousSolution(NetworkXException):
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104 """Raised if more than one valid solution exists for an intermediary step
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105 of an algorithm.
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106
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107 In the face of ambiguity, refuse the temptation to guess.
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108 This may occur, for example, when trying to determine the
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109 bipartite node sets in a disconnected bipartite graph when
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110 computing bipartite matchings.
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111
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112 """
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113
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114
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115 class ExceededMaxIterations(NetworkXException):
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116 """Raised if a loop iterates too many times without breaking.
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117
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118 This may occur, for example, in an algorithm that computes
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119 progressively better approximations to a value but exceeds an
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120 iteration bound specified by the user.
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121
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122 """
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123
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124
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125 class PowerIterationFailedConvergence(ExceededMaxIterations):
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126 """Raised when the power iteration method fails to converge within a
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127 specified iteration limit.
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128
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129 `num_iterations` is the number of iterations that have been
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130 completed when this exception was raised.
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131
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132 """
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133
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134 def __init__(self, num_iterations, *args, **kw):
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135 msg = 'power iteration failed to converge within {} iterations'
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136 exception_message = msg.format(num_iterations)
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137 superinit = super(PowerIterationFailedConvergence, self).__init__
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138 superinit(self, exception_message, *args, **kw)