annotate Doc/lib/libdifflib.tex @ 20038:8a6f2ee6eaba legacy-trunk

Make difflib.ndiff() and difflib.Differ.compare() generators. This restores the 2.1 ability of Tools/scripts/ndiff.py to start producing output before the entire comparison is complete.
author Tim Peters <tim.peters@gmail.com>
date Sat, 22 Sep 2001 21:30:22 +0000
parents 65885ea76c37
children f614825d326a
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1 \section{\module{difflib} ---
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2 Helpers for computing deltas}
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3
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4 \declaremodule{standard}{difflib}
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5 \modulesynopsis{Helpers for computing differences between objects.}
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6 \moduleauthor{Tim Peters}{tim.one@home.com}
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7 \sectionauthor{Tim Peters}{tim.one@home.com}
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8 % LaTeXification by Fred L. Drake, Jr. <fdrake@acm.org>.
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9
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10 \versionadded{2.1}
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11
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12
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13 \begin{classdesc*}{SequenceMatcher}
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14 This is a flexible class for comparing pairs of sequences of any
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15 type, so long as the sequence elements are hashable. The basic
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16 algorithm predates, and is a little fancier than, an algorithm
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17 published in the late 1980's by Ratcliff and Obershelp under the
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18 hyperbolic name ``gestalt pattern matching.'' The idea is to find
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19 the longest contiguous matching subsequence that contains no
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20 ``junk'' elements (the Ratcliff and Obershelp algorithm doesn't
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21 address junk). The same idea is then applied recursively to the
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22 pieces of the sequences to the left and to the right of the matching
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23 subsequence. This does not yield minimal edit sequences, but does
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24 tend to yield matches that ``look right'' to people.
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25
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26 \strong{Timing:} The basic Ratcliff-Obershelp algorithm is cubic
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27 time in the worst case and quadratic time in the expected case.
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28 \class{SequenceMatcher} is quadratic time for the worst case and has
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29 expected-case behavior dependent in a complicated way on how many
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30 elements the sequences have in common; best case time is linear.
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31 \end{classdesc*}
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32
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33 \begin{classdesc*}{Differ}
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34 This is a class for comparing sequences of lines of text, and
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35 producing human-readable differences or deltas. Differ uses
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36 \class{SequenceMatcher} both to compare sequences of lines, and to
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37 compare sequences of characters within similar (near-matching)
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38 lines.
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39
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40 Each line of a \class{Differ} delta begins with a two-letter code:
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41
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42 \begin{tableii}{l|l}{code}{Code}{Meaning}
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43 \lineii{'- '}{line unique to sequence 1}
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44 \lineii{'+ '}{line unique to sequence 2}
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45 \lineii{' '}{line common to both sequences}
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46 \lineii{'? '}{line not present in either input sequence}
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47 \end{tableii}
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48
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49 Lines beginning with `\code{?~}' attempt to guide the eye to
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50 intraline differences, and were not present in either input
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51 sequence. These lines can be confusing if the sequences contain tab
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52 characters.
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53 \end{classdesc*}
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54
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55 \begin{funcdesc}{get_close_matches}{word, possibilities\optional{,
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56 n\optional{, cutoff}}}
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57 Return a list of the best ``good enough'' matches. \var{word} is a
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58 sequence for which close matches are desired (typically a string),
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59 and \var{possibilities} is a list of sequences against which to
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60 match \var{word} (typically a list of strings).
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61
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62 Optional argument \var{n} (default \code{3}) is the maximum number
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63 of close matches to return; \var{n} must be greater than \code{0}.
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64
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65 Optional argument \var{cutoff} (default \code{0.6}) is a float in
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66 the range [0, 1]. Possibilities that don't score at least that
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67 similar to \var{word} are ignored.
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68
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69 The best (no more than \var{n}) matches among the possibilities are
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70 returned in a list, sorted by similarity score, most similar first.
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71
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72 \begin{verbatim}
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73 >>> get_close_matches('appel', ['ape', 'apple', 'peach', 'puppy'])
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74 ['apple', 'ape']
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75 >>> import keyword
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76 >>> get_close_matches('wheel', keyword.kwlist)
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77 ['while']
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78 >>> get_close_matches('apple', keyword.kwlist)
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79 []
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80 >>> get_close_matches('accept', keyword.kwlist)
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81 ['except']
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82 \end{verbatim}
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83 \end{funcdesc}
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84
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85 \begin{funcdesc}{ndiff}{a, b\optional{, linejunk\optional{,
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86 charjunk}}}
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87 Compare \var{a} and \var{b} (lists of strings); return a
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88 \class{Differ}-style delta (a generator generating the delta lines).
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89
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90 Optional keyword parameters \var{linejunk} and \var{charjunk} are
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91 for filter functions (or \code{None}):
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92
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93 \var{linejunk}: A function that should accept a single string
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94 argument, and return true if the string is junk (or false if it is
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95 not). The default is module-level function
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96 \function{IS_LINE_JUNK()}, which filters out lines without visible
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97 characters, except for at most one pound character (\character{\#}).
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98
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99 \var{charjunk}: A function that should accept a string of length 1.
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100 The default is module-level function \function{IS_CHARACTER_JUNK()},
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101 which filters out whitespace characters (a blank or tab; note: bad
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102 idea to include newline in this!).
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103
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104 \file{Tools/scripts/ndiff.py} is a command-line front-end to this
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105 function.
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106
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107 \begin{verbatim}
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108 >>> diff = ndiff('one\ntwo\nthree\n'.splitlines(1),
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109 ... 'ore\ntree\nemu\n'.splitlines(1)))
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110 >>> print ''.join(diff),
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111 - one
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112 ? ^
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113 + ore
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114 ? ^
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115 - two
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116 - three
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117 ? -
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118 + tree
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119 + emu
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120 \end{verbatim}
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121 \end{funcdesc}
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122
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123 \begin{funcdesc}{restore}{sequence, which}
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124 Return one of the two sequences that generated a delta.
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125
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126 Given a \var{sequence} produced by \method{Differ.compare()} or
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127 \function{ndiff()}, extract lines originating from file 1 or 2
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128 (parameter \var{which}), stripping off line prefixes.
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129
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130 Example:
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131
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132 \begin{verbatim}
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133 >>> diff = ndiff('one\ntwo\nthree\n'.splitlines(1),
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134 ... 'ore\ntree\nemu\n'.splitlines(1))
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135 >>> diff = list(diff) # materialize the generated delta into a list
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136 >>> print ''.join(restore(diff, 1)),
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137 one
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138 two
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139 three
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140 >>> print ''.join(restore(diff, 2)),
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141 ore
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142 tree
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143 emu
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144 \end{verbatim}
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145
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146 \end{funcdesc}
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147
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148
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149 \begin{funcdesc}{IS_LINE_JUNK}{line}:
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150
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151 Return 1 for ignorable line: iff \var{line} is blank or contains a
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152 single \character{\#}. Used as a default for parameter
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153 \var{linejunk} in \function{ndiff()}.
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154
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155 \end{funcdesc}
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156
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157
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158 \begin{funcdesc}{IS_CHARACTER_JUNK}{ch}:
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159
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160 Return 1 for ignorable character: iff \var{ch} is a space or tab.
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161 Used as a default for parameter \var{charjunk} in
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162 \function{ndiff()}.
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163
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164 \end{funcdesc}
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165
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166
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167 \begin{seealso}
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168 \seetitle{Pattern Matching: The Gestalt Approach}{Discussion of a
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169 similar algorithm by John W. Ratcliff and D. E. Metzener.
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170 This was published in
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171 \citetitle[http://www.ddj.com/]{Dr. Dobb's Journal} in
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172 July, 1988.}
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173 \end{seealso}
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174
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175
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176 \subsection{SequenceMatcher Objects \label{sequence-matcher}}
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177
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178 The \class{SequenceMatcher} class has this constructor:
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179
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180 \begin{classdesc}{SequenceMatcher}{\optional{isjunk\optional{,
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181 a\optional{, b}}}}
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182 Optional argument \var{isjunk} must be \code{None} (the default) or
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183 a one-argument function that takes a sequence element and returns
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184 true if and only if the element is ``junk'' and should be ignored.
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185 \code{None} is equivalent to passing \code{lambda x: 0}, i.e.\ no
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186 elements are ignored. For example, pass
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187
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188 \begin{verbatim}
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189 lambda x: x in " \t"
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190 \end{verbatim}
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191
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192 if you're comparing lines as sequences of characters, and don't want
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193 to synch up on blanks or hard tabs.
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194
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195 The optional arguments \var{a} and \var{b} are sequences to be
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196 compared; both default to empty strings. The elements of both
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197 sequences must be hashable.
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198 \end{classdesc}
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199
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200
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201 \class{SequenceMatcher} objects have the following methods:
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202
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203 \begin{methoddesc}{set_seqs}{a, b}
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204 Set the two sequences to be compared.
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205 \end{methoddesc}
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206
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207 \class{SequenceMatcher} computes and caches detailed information about
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208 the second sequence, so if you want to compare one sequence against
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209 many sequences, use \method{set_seq2()} to set the commonly used
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210 sequence once and call \method{set_seq1()} repeatedly, once for each
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211 of the other sequences.
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212
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213 \begin{methoddesc}{set_seq1}{a}
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214 Set the first sequence to be compared. The second sequence to be
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215 compared is not changed.
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216 \end{methoddesc}
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217
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218 \begin{methoddesc}{set_seq2}{b}
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219 Set the second sequence to be compared. The first sequence to be
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220 compared is not changed.
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221 \end{methoddesc}
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222
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223 \begin{methoddesc}{find_longest_match}{alo, ahi, blo, bhi}
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224 Find longest matching block in \code{\var{a}[\var{alo}:\var{ahi}]}
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225 and \code{\var{b}[\var{blo}:\var{bhi}]}.
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226
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227 If \var{isjunk} was omitted or \code{None},
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228 \method{get_longest_match()} returns \code{(\var{i}, \var{j},
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229 \var{k})} such that \code{\var{a}[\var{i}:\var{i}+\var{k}]} is equal
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230 to \code{\var{b}[\var{j}:\var{j}+\var{k}]}, where
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231 \code{\var{alo} <= \var{i} <= \var{i}+\var{k} <= \var{ahi}} and
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232 \code{\var{blo} <= \var{j} <= \var{j}+\var{k} <= \var{bhi}}.
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233 For all \code{(\var{i'}, \var{j'}, \var{k'})} meeting those
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234 conditions, the additional conditions
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235 \code{\var{k} >= \var{k'}},
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236 \code{\var{i} <= \var{i'}},
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237 and if \code{\var{i} == \var{i'}}, \code{\var{j} <= \var{j'}}
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238 are also met.
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239 In other words, of all maximal matching blocks, return one that
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240 starts earliest in \var{a}, and of all those maximal matching blocks
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241 that start earliest in \var{a}, return the one that starts earliest
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242 in \var{b}.
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243
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244 \begin{verbatim}
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245 >>> s = SequenceMatcher(None, " abcd", "abcd abcd")
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246 >>> s.find_longest_match(0, 5, 0, 9)
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247 (0, 4, 5)
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248 \end{verbatim}
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249
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250 If \var{isjunk} was provided, first the longest matching block is
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251 determined as above, but with the additional restriction that no
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252 junk element appears in the block. Then that block is extended as
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253 far as possible by matching (only) junk elements on both sides.
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254 So the resulting block never matches on junk except as identical
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255 junk happens to be adjacent to an interesting match.
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256
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257 Here's the same example as before, but considering blanks to be junk.
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258 That prevents \code{' abcd'} from matching the \code{' abcd'} at the
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259 tail end of the second sequence directly. Instead only the
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260 \code{'abcd'} can match, and matches the leftmost \code{'abcd'} in
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261 the second sequence:
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262
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263 \begin{verbatim}
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264 >>> s = SequenceMatcher(lambda x: x==" ", " abcd", "abcd abcd")
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265 >>> s.find_longest_match(0, 5, 0, 9)
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266 (1, 0, 4)
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267 \end{verbatim}
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268
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269 If no blocks match, this returns \code{(\var{alo}, \var{blo}, 0)}.
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270 \end{methoddesc}
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271
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272 \begin{methoddesc}{get_matching_blocks}{}
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273 Return list of triples describing matching subsequences.
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274 Each triple is of the form \code{(\var{i}, \var{j}, \var{n})}, and
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275 means that \code{\var{a}[\var{i}:\var{i}+\var{n}] ==
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276 \var{b}[\var{j}:\var{j}+\var{n}]}. The triples are monotonically
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277 increasing in \var{i} and \var{j}.
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278
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279 The last triple is a dummy, and has the value \code{(len(\var{a}),
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280 len(\var{b}), 0)}. It is the only triple with \code{\var{n} == 0}.
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281 % Explain why a dummy is used!
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282
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283 \begin{verbatim}
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284 >>> s = SequenceMatcher(None, "abxcd", "abcd")
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285 >>> s.get_matching_blocks()
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286 [(0, 0, 2), (3, 2, 2), (5, 4, 0)]
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287 \end{verbatim}
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288 \end{methoddesc}
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289
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290 \begin{methoddesc}{get_opcodes}{}
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291 Return list of 5-tuples describing how to turn \var{a} into \var{b}.
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292 Each tuple is of the form \code{(\var{tag}, \var{i1}, \var{i2},
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293 \var{j1}, \var{j2})}. The first tuple has \code{\var{i1} ==
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294 \var{j1} == 0}, and remaining tuples have \var{i1} equal to the
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295 \var{i2} from the preceeding tuple, and, likewise, \var{j1} equal to
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296 the previous \var{j2}.
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297
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298 The \var{tag} values are strings, with these meanings:
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299
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300 \begin{tableii}{l|l}{code}{Value}{Meaning}
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301 \lineii{'replace'}{\code{\var{a}[\var{i1}:\var{i2}]} should be
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302 replaced by \code{\var{b}[\var{j1}:\var{j2}]}.}
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303 \lineii{'delete'}{\code{\var{a}[\var{i1}:\var{i2}]} should be
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304 deleted. Note that \code{\var{j1} == \var{j2}} in
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305 this case.}
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306 \lineii{'insert'}{\code{\var{b}[\var{j1}:\var{j2}]} should be
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307 inserted at \code{\var{a}[\var{i1}:\var{i1}]}.
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308 Note that \code{\var{i1} == \var{i2}} in this
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309 case.}
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310 \lineii{'equal'}{\code{\var{a}[\var{i1}:\var{i2}] ==
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311 \var{b}[\var{j1}:\var{j2}]} (the sub-sequences are
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312 equal).}
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313 \end{tableii}
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314
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315 For example:
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316
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317 \begin{verbatim}
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318 >>> a = "qabxcd"
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319 >>> b = "abycdf"
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320 >>> s = SequenceMatcher(None, a, b)
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321 >>> for tag, i1, i2, j1, j2 in s.get_opcodes():
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322 ... print ("%7s a[%d:%d] (%s) b[%d:%d] (%s)" %
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323 ... (tag, i1, i2, a[i1:i2], j1, j2, b[j1:j2]))
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324 delete a[0:1] (q) b[0:0] ()
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325 equal a[1:3] (ab) b[0:2] (ab)
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326 replace a[3:4] (x) b[2:3] (y)
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327 equal a[4:6] (cd) b[3:5] (cd)
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328 insert a[6:6] () b[5:6] (f)
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329 \end{verbatim}
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330 \end{methoddesc}
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331
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332 \begin{methoddesc}{ratio}{}
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333 Return a measure of the sequences' similarity as a float in the
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334 range [0, 1].
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335
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336 Where T is the total number of elements in both sequences, and M is
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337 the number of matches, this is 2.0*M / T. Note that this is
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338 \code{1.0} if the sequences are identical, and \code{0.0} if they
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339 have nothing in common.
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340
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341 This is expensive to compute if \method{get_matching_blocks()} or
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342 \method{get_opcodes()} hasn't already been called, in which case you
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343 may want to try \method{quick_ratio()} or
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344 \method{real_quick_ratio()} first to get an upper bound.
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345 \end{methoddesc}
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346
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347 \begin{methoddesc}{quick_ratio}{}
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348 Return an upper bound on \method{ratio()} relatively quickly.
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349
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350 This isn't defined beyond that it is an upper bound on
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351 \method{ratio()}, and is faster to compute.
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352 \end{methoddesc}
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353
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354 \begin{methoddesc}{real_quick_ratio}{}
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355 Return an upper bound on \method{ratio()} very quickly.
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356
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357 This isn't defined beyond that it is an upper bound on
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358 \method{ratio()}, and is faster to compute than either
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359 \method{ratio()} or \method{quick_ratio()}.
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360 \end{methoddesc}
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361
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362 The three methods that return the ratio of matching to total characters
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363 can give different results due to differing levels of approximation,
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364 although \method{quick_ratio()} and \method{real_quick_ratio()} are always
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365 at least as large as \method{ratio()}:
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366
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367 \begin{verbatim}
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368 >>> s = SequenceMatcher(None, "abcd", "bcde")
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369 >>> s.ratio()
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370 0.75
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371 >>> s.quick_ratio()
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372 0.75
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373 >>> s.real_quick_ratio()
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374 1.0
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375 \end{verbatim}
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376
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377
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378 \subsection{SequenceMatcher Examples \label{sequencematcher-examples}}
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379
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380
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381 This example compares two strings, considering blanks to be ``junk:''
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382
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383 \begin{verbatim}
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384 >>> s = SequenceMatcher(lambda x: x == " ",
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385 ... "private Thread currentThread;",
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386 ... "private volatile Thread currentThread;")
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387 \end{verbatim}
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388
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389 \method{ratio()} returns a float in [0, 1], measuring the similarity
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390 of the sequences. As a rule of thumb, a \method{ratio()} value over
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391 0.6 means the sequences are close matches:
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392
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393 \begin{verbatim}
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394 >>> print round(s.ratio(), 3)
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395 0.866
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396 \end{verbatim}
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397
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398 If you're only interested in where the sequences match,
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399 \method{get_matching_blocks()} is handy:
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400
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401 \begin{verbatim}
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402 >>> for block in s.get_matching_blocks():
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403 ... print "a[%d] and b[%d] match for %d elements" % block
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404 a[0] and b[0] match for 8 elements
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405 a[8] and b[17] match for 6 elements
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406 a[14] and b[23] match for 15 elements
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407 a[29] and b[38] match for 0 elements
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408 \end{verbatim}
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409
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410 Note that the last tuple returned by \method{get_matching_blocks()} is
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
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411 always a dummy, \code{(len(\var{a}), len(\var{b}), 0)}, and this is
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diff changeset
412 the only case in which the last tuple element (number of elements
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
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diff changeset
413 matched) is \code{0}.
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
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diff changeset
414
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
parents:
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415 If you want to know how to change the first sequence into the second,
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
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diff changeset
416 use \method{get_opcodes()}:
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
parents:
diff changeset
417
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
parents:
diff changeset
418 \begin{verbatim}
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
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419 >>> for opcode in s.get_opcodes():
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
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420 ... print "%6s a[%d:%d] b[%d:%d]" % opcode
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
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diff changeset
421 equal a[0:8] b[0:8]
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
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diff changeset
422 insert a[8:8] b[8:17]
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
parents:
diff changeset
423 equal a[8:14] b[17:23]
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
parents:
diff changeset
424 equal a[14:29] b[23:38]
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
parents:
diff changeset
425 \end{verbatim}
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
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parents:
diff changeset
426
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
parents:
diff changeset
427 See also the function \function{get_close_matches()} in this module,
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
parents:
diff changeset
428 which shows how simple code building on \class{SequenceMatcher} can be
3cb00cbe7455 Documentation for the difflib module, converted from the module docstrings.
Fred Drake <fdrake@acm.org>
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diff changeset
429 used to do useful work.
19232
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430
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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431
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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432 \subsection{Differ Objects \label{differ-objects}}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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433
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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434 Note that \class{Differ}-generated deltas make no claim to be
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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435 \strong{minimal} diffs. To the contrary, minimal diffs are often
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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436 counter-intuitive, because they synch up anywhere possible, sometimes
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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437 accidental matches 100 pages apart. Restricting synch points to
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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438 contiguous matches preserves some notion of locality, at the
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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439 occasional cost of producing a longer diff.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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440
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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441 The \class{Differ} class has this constructor:
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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442
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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443 \begin{classdesc}{Differ}{\optional{linejunk\optional{, charjunk}}}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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444 Optional keyword parameters \var{linejunk} and \var{charjunk} are
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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445 for filter functions (or \code{None}):
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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446
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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447 \var{linejunk}: A function that should accept a single string
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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448 argument, and return true iff the string is junk. The default is
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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449 module-level function \function{IS_LINE_JUNK()}, which filters out
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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450 lines without visible characters, except for at most one pound
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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451 character (\character{\#}).
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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452
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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453 \var{charjunk}: A function that should accept a string of length 1.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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454 The default is module-level function \function{IS_CHARACTER_JUNK()},
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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455 which filters out whitespace characters (a blank or tab; note: bad
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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456 idea to include newline in this!).
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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457 \end{classdesc}
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458
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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459 \class{Differ} objects are used (deltas generated) via a single
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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460 method:
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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461
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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462 \begin{methoddesc}{compare}{a, b}
20038
8a6f2ee6eaba Make difflib.ndiff() and difflib.Differ.compare() generators. This
Tim Peters <tim.peters@gmail.com>
parents: 19232
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463 Compare two sequences of lines, and generate the delta (a sequence
8a6f2ee6eaba Make difflib.ndiff() and difflib.Differ.compare() generators. This
Tim Peters <tim.peters@gmail.com>
parents: 19232
diff changeset
464 of lines).
19232
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465
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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466 Each sequence must contain individual single-line strings ending
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467 with newlines. Such sequences can be obtained from the
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8a6f2ee6eaba Make difflib.ndiff() and difflib.Differ.compare() generators. This
Tim Peters <tim.peters@gmail.com>
parents: 19232
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468 \method{readlines()} method of file-like objects. The delta generated
8a6f2ee6eaba Make difflib.ndiff() and difflib.Differ.compare() generators. This
Tim Peters <tim.peters@gmail.com>
parents: 19232
diff changeset
469 also consists of newline-terminated strings, ready to be printed as-is
8a6f2ee6eaba Make difflib.ndiff() and difflib.Differ.compare() generators. This
Tim Peters <tim.peters@gmail.com>
parents: 19232
diff changeset
470 via the \method{writeline()} method of a file-like object.
19232
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471 \end{methoddesc}
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472
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473
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474 \subsection{Differ Example \label{differ-examples}}
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475
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
476 This example compares two texts. First we set up the texts, sequences
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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477 of individual single-line strings ending with newlines (such sequences
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
478 can also be obtained from the \method{readlines()} method of file-like
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479 objects):
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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480
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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481 \begin{verbatim}
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482 >>> text1 = ''' 1. Beautiful is better than ugly.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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483 ... 2. Explicit is better than implicit.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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484 ... 3. Simple is better than complex.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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485 ... 4. Complex is better than complicated.
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486 ... '''.splitlines(1)
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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487 >>> len(text1)
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488 4
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489 >>> text1[0][-1]
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490 '\n'
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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491 >>> text2 = ''' 1. Beautiful is better than ugly.
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492 ... 3. Simple is better than complex.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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493 ... 4. Complicated is better than complex.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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494 ... 5. Flat is better than nested.
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495 ... '''.splitlines(1)
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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496 \end{verbatim}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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497
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
498 Next we instantiate a Differ object:
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
499
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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500 \begin{verbatim}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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501 >>> d = Differ()
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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502 \end{verbatim}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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503
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
504 Note that when instantiating a \class{Differ} object we may pass
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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505 functions to filter out line and character ``junk.'' See the
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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506 \method{Differ()} constructor for details.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
507
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
508 Finally, we compare the two:
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
509
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
510 \begin{verbatim}
20038
8a6f2ee6eaba Make difflib.ndiff() and difflib.Differ.compare() generators. This
Tim Peters <tim.peters@gmail.com>
parents: 19232
diff changeset
511 >>> result = list(d.compare(text1, text2))
19232
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512 \end{verbatim}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
513
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
514 \code{result} is a list of strings, so let's pretty-print it:
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
515
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
516 \begin{verbatim}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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517 >>> from pprint import pprint
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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518 >>> pprint(result)
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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519 [' 1. Beautiful is better than ugly.\n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
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520 '- 2. Explicit is better than implicit.\n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
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diff changeset
521 '- 3. Simple is better than complex.\n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
522 '+ 3. Simple is better than complex.\n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
523 '? ++ \n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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524 '- 4. Complex is better than complicated.\n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
525 '? ^ ---- ^ \n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
526 '+ 4. Complicated is better than complex.\n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
527 '? ++++ ^ ^ \n',
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
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528 '+ 5. Flat is better than nested.\n']
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
529 \end{verbatim}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
530
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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parents: 17785
diff changeset
531 As a single multi-line string it looks like this:
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
532
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
533 \begin{verbatim}
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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diff changeset
534 >>> import sys
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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535 >>> sys.stdout.writelines(result)
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
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536 1. Beautiful is better than ugly.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
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537 - 2. Explicit is better than implicit.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
538 - 3. Simple is better than complex.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
539 + 3. Simple is better than complex.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
540 ? ++
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
541 - 4. Complex is better than complicated.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
542 ? ^ ---- ^
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
543 + 4. Complicated is better than complex.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
544 ? ++++ ^ ^
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
545 + 5. Flat is better than nested.
65885ea76c37 David Goodger <dgoodger@atsautomation.com>:
Fred Drake <fdrake@acm.org>
parents: 17785
diff changeset
546 \end{verbatim}