Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/networkx/exception.py @ 0:26e78fe6e8c4 draft
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
| author | shellac |
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| date | Sat, 02 May 2020 07:14:21 -0400 |
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| rev | line source |
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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) |
