| Engine : Objects : Functions : Constants : Examples : Structure : Support : Download : Copyright & License : History : Home | Version 2.0.3 | 
A while ago, in spring 1997, I started out to write some tools that were supposed to make string handling and parsing text faster than what the standard library has to offer. I had a need for this since I was (and still am) working on a WebService Framework that greatly simplifies building and maintaining interactive web sites. After some initial prototypes of what I call Tagging Engine written totally in Python I started rewriting the main parts in C and soon realized that I needed a little more sophisticated searching tools.
I could walk through text pretty fast, but in many situations I just needed to replace some text with some other text.
The next step was to create a new types for fast searching in text. I decided to code up an enhanced version of the well known Boyer-Moore search algorithm. This made me think a bit more about searching and how knowledge about the text and the search pattern could be better used to make it work even faster. The result was an algorithm that uses a suffix skip array, which I call Fast Search Algorithm.
The two search types are built upon a small C lib I wrote for this. The implementations are optimized for gcc/Linux and from the tests I ran I can say that they out-perform every other technique I have tried. Even the very fast Boyer-Moore implementation of fgrep (1).
Then I reintegrated those search utilities into the Tagging Engine and also added a fast variant for doing 'char out of a string'-kind of tests. These are done using 'sets', i.e. strings that contain one bit per character position (and thus 32 bytes long).
All this got wrapped up in a nice Python package:
One word about the word 'tagging'. This originated from what is done in HTML to mark some text with a certain extra information. I extended this notion to assigning Python objects to text substrings. Every substring marked in this way carries a 'tag' (the object) which can be used to do all kinds of nifty things.
Marking certains parts of a text should not involve storing hundreds of small strings. This is why the Tagging Engine uses a specially formatted list of tuples to return the results:
Tag List
A tag list is a list of tuples marking certain slices of a text. The tuples always have the format
(object, left_index, right_index, sublist)
	  with the meaning: object contains
	  information about the slice
	  [left_index:right_index] in some text. The
	  sublist is either another taglist created
	  by recursively invoking the Tagging Engine or
	  None.
	
Tag Table
To create such taglists, you have to define a Tag Table and let the Tagging Engine use it to mark the text. Tag Tables are really just standard Python tuples containing other tuples in a specific format:
tag_table = (('lowercase',AllIn,a2z,+1,+2),
	     ('upper',AllIn,A2Z,+1),
	     (None,AllIn,white+newline,+1),
	     (None,AllNotIn,alpha+white+newline,+1),
	     (None,EOF,Here,-4)) # EOF 
	The tuples contained in the table use a very simple format:
(tagobj, command+flags, command_argument [,jump_no_match] [,jump_match=+1])Semantics
The Tagging Engine reads the Tag Table starting at the top entry. While performing the command actions (see below for details) it moves a read-head over the characters of the text. The engine stops when a command fails to match and no alternative is given or when it reaches a non-existing entry, e.g. by jumping beyond the end of the table.
Tag Table entries are processed as follows:
	  If the command matched, say the slice
	  text[l:r], the default action is to append
	  (tagobj,l,r,sublist) to the taglist (this
	  behaviour can be modified by using special
	  flags; if you use None as tagobj,
	  no tuple is appended) and to continue matching with the
	  table entry that is reached by adding
	  jump_match to the current position (think of
	  them as relative jump offsets). The head position of the
	  engine stays where the command left it (over index
	  r), e.g. for (None,AllIn,'A')
	  right after the last 'A' matched.
	
	  In case the command does not match, the
	  engine either continues at the table entry reached after
	  skipping jump_no_match entries, or if this
	  value is not given, terminates matching the current
	  table and returns not matched. The head position is
	  always restored to the position it was in before the
	  non-matching command was executed, enabling
	  backtracking.
	
	  The format of the command_argument is dependent
	  on the command. It can be a string, a set, a search object,
	  a tuple of some other wild animal from Python land. See the
	  command section below for details.
	
A table matches a string if and only if the Tagging Engine reaches a table index that lies beyond the end of the table. The engine then returns matched ok. Jumping beyond the start of the table (to a negative table index) causes the table to return with result failed to match.
Tagging Commands
	  The commands and constants used here are integers defined in
	  Constants/TagTables.py and imported into the
	  package's root module. For the purpose of explaining the
	  taken actions we assume that the tagging engine was called
	  with tag(text,table,start=0,end=len(text)). The
	  current head position is indicated by x.
	
| Command | Matching Argument | Action | 
| Fail | Here | Causes the engine to fail matching at the current head position. | 
| Jump | To | 
	      Causes the engine to perform a relative jump by
	      jump_no_match entries.
	     | 
	  
| AllIn | string | 
	      Matches all characters found in text[x:end]
	      up to the first that is not included in string. At least
	      one character must match.
	     | 
	  
| AllNotIn | string | 
	      Matches all characters found in text[x:end]
	      up to the first that is included in string. At least one
	      character must match.
	     | 
	  
| AllInSet | set | 
	      Matches all characters found in text[x:end]
	      up to the first that is not included in the string
	      set. At least one character must match.
	     | 
	  
| Is | character | 
	      Matches iff text[x] == character.
	     | 
	  
| IsNot | character | 
	      Matches iff text[x] != character.
	     | 
	  
| IsIn | string | 
	      Matches iff text[x] is in string.
	     | 
	  
| IsNotIn | string | 
	      Matches iff text[x] is not in string.
	     | 
	  
| IsInSet | set | 
	      Matches iff text[x] is in set.
	     | 
	  
| Word | string | 
	      Matches iff text[x:x+len(string)] == string.
	     | 
	  
| WordStart | string | 
	      Matches all characters up to the first occurance of
	      string in text[x:end].
	      If string is not found, the command does not match and the head position remains unchanged. Otherwise, the head stays on the first character of string in the found occurance. At least one character must match.  | 
	  
| WordEnd | string | 
	      Matches all characters up to the first occurance of
	      string in text[x:end]. 
	      If string is not found, the command does not match and the head position remains unchanged. Otherwise, the head stays on the last character of string in the found occurance.  | 
	  
| sWordStart | search object | Same as WordStart except that the search object is used to perform the necessary action (which can be much faster) and zero matching characters are allowed. | 
| sWordEnd | search object | Same as WordEnd except that the search object is used to perform the necessary action (which can be much faster). | 
| sFindWord | search object | 
	      Uses the search object to find the given substring.
	       If found, the tagobj is assigned only to the slice of the substring. The characters leading up to it are ignored. The head position is adjusted to right after the substring -- just like for sWordEnd.  | 
	  
| Call | function | 
	      Calls the matching
	      function(text,x,end).
	      
		The function must return the index  
		The entry is considered to be matching, iff   | 
	  
| CallArg | (function,[arg0,...]) | 
	      Same as Call except that
	      function(text,x,end[,arg0,...]) is being
	      called. The command argument must be a tuple.
	     | 
	  
| Table | tagtable or ThisTable | 
	      Matches iff tagtable matches text[x:end].
	      This calls the engine recursively. In case of success the head position is adjusted to point right after the match and the returned taglist is made available in the subtags field of this tables taglist entry. 
		You may pass the special constant
		  | 
	  
| SubTable | tagtable or ThisTable | 
	      Same as Table except that the subtable reuses this
	      table's tag list for its tag list.  The
	      subtags entry is set to None.
	      
		You may pass the special constant
		  | 
	  
| TableInList | (list_of_tables,index) | 
	      Same as Table except that the matching table to be used
	      is read from the list_of_tables at position
	      index whenever this command is
	      executed.
	      This makes self-referencing tables possible which would otherwise not be possible (since Tag Tables are immutable tuples). Note that it can also introduce circular references, so be warned !  | 
	  
| SubTableInList | (list_of_tables,index) | 
	      Same as TableInList except that the subtable reuses this
	      table's tag list. The subtags entry is set
	      to None.
	     | 
	  
| EOF | Here | 
	      Matches iff the head position is beyond end.
	     | 
	  
| Skip | offset | 
	      Always matches and moves the head position to x +
	      offset.
	     | 
	  
| Move | position | 
	      Always matches and moves the head position to
	      slice[position]. Negative indices move the
	      head to slice[len(slice)+position+1],
	      e.g. (None,Move,-1) moves to EOF. slice
	      refers to the current text slice being worked on by the
	      Tagging Engine.
	     | 
	  
| Loop | count | Remains undocumented for this release. | 
| LoopControl | Break/Reset | Remains undocumented for this release. | 
The following flags can be added to the command integers above:
(tagobj,l,r,subtags)
		to the taglist upon successful matching, call
		tagobj(taglist,text,l,r,subtags).
		
(tagobj,l,r,subtags)
		to the taglist upon successful matching, append the
		match found as string.  
		
		  Note that this will produce non-standard taglists ! 
		  It is useful in combination with join()
		  though and can be used to implement smart split()
		  replacements algorithms.
		
(tagobj,l,r,subtags)
		to the taglist upon successful matching, call
		tagobj.append((None,l,r,subtags)).
		
(tagobj,l,r,subtags)
		to the taglist upon successful matching, append
		tagobj itself. 
		Note that this can cause the taglist to have a non-standard format, i.e. functions relying on the standard format could fail.
		  This flag is mainly intended to build
		  join-lists usable by the
		  join()-function (see below).
		
l (the left position of
		the match) after a successful match.
		This is useful to implement lookahead strategies.
Using the flag has no effect on the way the tagobj itself is treated, i.e. it will still be processed in the usual way.
Some additional constants that can be used as argument or relative jump position:
	  Internally, the Tag Table is used as program for a state
	  machine which is coded in C and accessible through the
	  package as tag() function along with the
	  constants used for the commands (e.g. Allin, AllNotIn,
	  etc.). Note that in computer science one normally
	  differentiates between finite state machines, pushdown
	  automata and turing machines. The Tagging Engine offers all
	  these levels of complexity depending on which techniques you
	  use, yet the basic structure of the engine is best compared
	  to a finite state machine.
	
I admit, these tables don't look very elegant. In fact I would much rather write them in some meta language that gets compiled into these tables instead of handcoding them. But I've never had time to do much research into this. Mike C. Fletcher has been doing some work in this direction recently. You may want to check out his SimpleParse add-on for mxTextTools. Recently, Tony J. Ibbs has also started to work in this direction. His meta-language for mxTextTools aims at simplifying the task of writing Tag Table tuples.
Tip: if you are getting an error 'call of a non-function' while writing a table definition, you probably have a missing ',' somewhere in the tuple !
Debugging
The packages includes a nearly complete Python emulation of the Tagging Engine in the Examples subdirectory (pytag.py). Though it is unsupported it might still provide some use since it has a builtin debugger that will let you step through the Tag Tables as they are executed. See the source for further details.
As an alternative you can build a version of the Tagging Engine that provides lots of debugging output. See mxTextTools/Setup for explanations on how to do this. When enabled the module will create several .log files containing the debug information of various parts of the implementation whenever the Python interpreter is run with the debug flag enabled (python -d). These files should give a fairly good insight into the workings of the Tag Engine (though it still isn't as elegant as it could be).
	  Note that the debug version of the module is almost as fast
	  as the regular build, so you might as well do regular work
	  with it.
    
    
     
	  These objects are immutable and usable for one search string
	  per object only. They can be applied to as many text strings
	  as you like -- much like compiled regular
	  expressions. Matching is done exact (doing the translations
	  on-the-fly). 
	 
	  The search objects can be pickled and implement the copy
	  protocol as defined by the copy module. Comparisons and
	  hashing are not implemented (the objects are stored by id in
	  dictionaries -- may change in future releases though).
	 
	  Search Object Constructors
	 
	      There are two types of search objects. The Boyer-Moore
	      type uses less memory, while the Fast Search type gives
	      you enhanced speed with a little more memory overhead.
	     
	      Note: The Fast Search object is *not* included in
	      the public release, since I wan't to write a paper about
	      it and therefore can't make it available yet.
	     
	     
	       
	     
	  Search Object Instance Variables
	 
	      To provide some help for reflection and pickling
	      the search types give (read-only) access to these
	      attribute.
	     
	     
	       
	     
	  Search Object Instance Methods
	 
	      The two search types have the same methods:
	     
	     
	       
	       
	     
	      Note that translating the text before doing the search
	      often results in a better performance. Use
	       
	  These functions are defined in the package:
	 
	 
		  It returns a tuple  
		  In case of a non match (success == 0), it points to
		  the error location in text.  If you provide a tag
		  list it will be used for the processing. 
		 
		  Passing  
	       
		  The format expected as joinlist is similar to
		  a tag list: it is a sequence of tuples
		   
		  The optional argument sep is a separator to be used
		  in joining the slices together, it defaults to the
		  empty string (unlike string.join). start and stop
		  allow to define the slice of joinlist the function
		  will work in.
		
		 
		  Important Note: The syntax used for negative
		  slices is different than the Python standard: -1
		  corresponds to the first character *after* the string,
		  e.g. ('Example',0,-1) gives 'Example' and not 'Exampl',
		  like in Python. To avoid confusion, don't use negative
		  indices.  
	       
	       
		  A few restrictions apply, though:
		 
		  If one of these conditions is not met, a ValueError
		  is raised.   
	       
		  If logic is 0, then all characters not in
		  string will be in the set.  
	       
	       
	       
	       
	       
	       
		  Note that the translation string used is generated
		  at import time. Locale settings will only have an
		  effect if set prior to importing the package. 
		 
		  This function is almost twice as fast as the one in
		  the string module.  
	       
	       
	       
	       
	       
	       
	       
	       
		  This is a special case of string.split() that has
		  been optimized for single character splitting
		  running 40% faster.  
	       
		  If the character is not found, the second string is
		  empty. nth may also be negative: the search is then
		  done from the right and the first string is empty in
		  case the character is not found.  
		 
		  The splitting character itself is not included in
		  the two substrings.  
	       
		  If no suffix is found to be matching, None is
		  returned.  An empty suffix ('') matches the
		  end-of-string. 
		 
		  The optional 256 char translate string is used to
		  translate the text prior to comparing it with the
		  given suffixes. It uses the same format as the
		  search object translate strings. If not given, no
		  translation is performed and the match done exact.
	       
	       
		  If no prefix is found to be matching, None is
		  returned. An empty prefix ('') matches the
		  end-of-string. 
		 
		  The optional 256 char translate string is used to
		  translate the text prior to comparing it with the
		  given suffixes. It uses the same format as the
		  search object translate strings. If not given, no
		  translation is performed and the match done exact.
	       
	       
		  The following combinations are considered to be
		  line-ends: '\r', '\r\n', '\n'; they may be used in
		  any combination.  The line-end indicators are
		  removed from the strings prior to adding them to the
		  list.
		 
		  This function allows dealing with text files from
		  Macs, PCs and Unix origins in a portable way.
		   
	       
		  Line ends are treated just like for splitlines() in
		  a portable way.   
	       
		  This function is just here for completeness. It
		  works in the same way as string.split(text).  Note
		  that setsplit() gives you much more control over how
		  splitting is performed. whitespace is defined as
		  given below (see Constants).   
	       
	       
	       
	     
	  The TextTools.py also defines some other functions, but
	  these are left undocumented since they may disappear in future
	  releases.
	 
     
	  The package exports these constants. They are defined in
	  Constants/Sets.
	 
	 
	       
	       
	       
	       
	       
	       
	       
	       
	       
	       
	       
	       
	       
	       
	       
	     
	  The Examples/ subdirectory of the package contains a
	  few examples of how tables can be written and used. Here is a
	  non-trivial example for parsing HTML (well, most of it):
	 
	  I hope this doesn't scare you away :-) ... it's
	  fast as hell.
    
    
     
      Entries enclosed in brackets are packages (i.e. they are
      directories that include a __init__.py file). Ones with
      slashes are just ordinary subdirectories that are not accessible
      via  
      The package TextTools imports everything needed from the other
      components. It is sometimes also handy to do a  
      Examples/ contains a few demos of what the Tag Tables
      can do.
     
    
    
     
      Mike C. Fletcher is working on a Tag Table generator called SimpleParse.
      It works as parser generating front end to the Tagging Engine
      and converts a EBNF style grammar into a Tag Table directly
      useable with the  
      Tony J. Ibbs has started to work on a meta-language
      for mxTextTools. It aims at simplifying the task of writing
      Tag Table tuples using a Python style syntax. It also gets rid
      off the annoying jump offset calculations.
     
      Andrew Dalke has started work on a parser generator called Martel built
      upon mxTextTools which takes a regular expression grammer for a
      format and turns the resultant parsed tree into a set of
      callback events emulating the XML/SAX API. The results look very
      promising !
    
    
     
	  eGenix.com is providing commercial support for this
	  package. If you are interested in receiving information
	  about this service please see the eGenix.com
	  Support Conditions.
     
	  © 1997-2000, Copyright by Marc-André Lemburg;
	  All Rights Reserved.  mailto: mal@lemburg.com
	 
	  © 2000-2001, Copyright by eGenix.com Software GmbH,
	  Langenfeld, Germany; All Rights Reserved.  mailto: info@egenix.com
	 
	  This software is covered by the eGenix.com Public
	  License Agreement. The text of the license is also
	  included as file "LICENSE" in the package's main directory.
	 
	   By downloading, copying, installing or otherwise using
	  the software, you agree to be bound by the terms and
	  conditions of the eGenix.com Public License
	  Agreement. 
     Things that still need to be done:
	 Things that changed from 2.0.2 to 2.0.3:
	 Things that changed from 2.0.0 to 2.0.2:
	 Things that changed from 1.1.1 to 2.0.0:
	 Things that changed from 1.1.0 to 1.1.1:
	 Things that changed from 1.0.2 to 1.1.0:
	 Things that changed from 1.0.1 to 1.0.2:
	 Things that changed from 1.0.0 to 1.0.1:
	 Things that changed from the really old TagIt module version 0.7 to mxTextTools
	1.0.0:
	 
     
          © 1997-2000, Copyright by Marc-André Lemburg;
          All Rights Reserved.  mailto: mal@lemburg.com
         
          © 2000-2001, Copyright by eGenix.com Software GmbH; 
          All Rights Reserved.  mailto: info@egenix.com
    Search Objects
    
	
    
    
	    
	
	      
	
		    BMS(match[,translate])
		    FS(match[,translate])
	    
	
	      
	
		    match
		    translate
	    
    
	      
	    
		    search(text,[start=0,len_text=len(text)])[start:len_text] and return
		the slice (l,r) where the substring was
		found, or (start,start) if it was not
		found.
		    find(text,[start=0,len_text=len(text)])[start:len_text] and return
		the index where the substring was found, or
		-1 if it was not found. This interface is
		compatible with string.find.
		    findall(text,start=0,len_text=len(text))search(), but return a list of
		all non-overlapping slices (l,r) where
		the match string can be found in text.string.translate() to do that efficiently.
	Functions
    
	
    
    
	    
	
	      
	
		    tag(text,tagtable[,startindex=0,len_text=len(text),taglist=[]])(success, taglist,
		  nextindex), where nextindex indicates the
		  next index to be processed after the last character
		  matched by the Tag Table. 
		None as taglist results in no
		  tag list being created at all. 
		    join(joinlist[,sep='',start=0,stop=len(joinlist)])(string,l,r[,...]) (the resulting
		  string will then include the slice
		  string[l:r]) or strings (which are
		  copied as a whole). Extra entries in the tuple are
		  ignored. 
		
		    cmp(a,b)
		    joinlist(text,list[,start=0,stop=len(text)])join() from a list of tuples
		(replacement,l,r,...) in such a way that all
		slices text[l:r] are replaced by the given
		replacement. 
		
		  
		
		    set(string[,logic=1])
		    invset(string)set(string,0).  
		    setfind(text,set[,start=0,stop=len(text)])text[start:stop]. set must be a
		string obtained from set().  
		    setstrip(text,set[,start=0,stop=len(text),mode=0])set().  
		    setsplit(text,set[,start=0,stop=len(text)])set
		must be a string obtained from set().
	      
		    setsplitx(text,set[,start=0,stop=len(text)])set must be a string obtained from
		set().  
		    upper(string)
		    lower(string)
		    is_whitespace(text,start=0,stop=len(text))
		    replace(text,what,with,start=0,stop=len(text))
		    multireplace(text,replacements,start=0,stop=len(text))
		    find(text,what,start=0,stop=len(text))
		    findall(text,what,start=0,stop=len(text))(left,right) meaning that
		what can be found at text[left:right].
		
		    collapse(text,separator=' ')
		    charsplit(text,char,start=0,stop=len(text))
		    splitat(text,char,nth=1,start=0,stop=len(text))
		    suffix(text,suffixes,start=0,stop=len(text)[,translate])
		    prefix(text,prefixes,start=0,stop=len(text)[,translate])
		    splitlines(text)
		    countlines(text)
		    splitwords(text)
		    str2hex(text)
		    hex2str(hex)
		    isascii(text)Constants
    
	
    
    
	    
	  
    
	      
	
		    a2z
		    A2Z
		    a2z
		    umlaute
		    Umlaute
		    alpha
		    a2z
		    german_alpha
		    number
		    alphanumeric
		    white
		    newline
		    formfeed
		    whitespace
		    any
		    *_setExamples of Use
    
	
    from mx.TextTools import *
    error = '***syntax error'			# error tag obj
    tagname_set = set(alpha+'-'+number)
    tagattrname_set = set(alpha+'-'+number)
    tagvalue_set = set('"\'> ',0)
    white_set = set(' \r\n\t')
    tagattr = (
	   # name
	   ('name',AllInSet,tagattrname_set),
	   # with value ?
	   (None,Is,'=',MatchOk),
	   # skip junk
	   (None,AllInSet,white_set,+1),
	   # unquoted value
	   ('value',AllInSet,tagvalue_set,+1,MatchOk),
	   # double quoted value
	   (None,Is,'"',+5),
	     ('value',AllNotIn,'"',+1,+2),
	     ('value',Skip,0),
	     (None,Is,'"'),
	     (None,Jump,To,MatchOk),
	   # single quoted value
	   (None,Is,'\''),
	     ('value',AllNotIn,'\'',+1,+2),
	     ('value',Skip,0),
	     (None,Is,'\'')
	   )
    valuetable = (
	# ignore whitespace + '='
	(None,AllInSet,set(' \r\n\t='),+1),
	# unquoted value
	('value',AllInSet,tagvalue_set,+1,MatchOk),
	# double quoted value
	(None,Is,'"',+5),
	 ('value',AllNotIn,'"',+1,+2),
	 ('value',Skip,0),
	 (None,Is,'"'),
	 (None,Jump,To,MatchOk),
	# single quoted value
	(None,Is,'\''),
	 ('value',AllNotIn,'\'',+1,+2),
	 ('value',Skip,0),
	 (None,Is,'\'')
	)
    allattrs = (# look for attributes
	       (None,AllInSet,white_set,+4),
	        (None,Is,'>',+1,MatchOk),
	        ('tagattr',Table,tagattr),
	        (None,Jump,To,-3),
	       (None,Is,'>',+1,MatchOk),
	       # handle incorrect attributes
	       (error,AllNotIn,'> \r\n\t'),
	       (None,Jump,To,-6)
	       )
    htmltag = ((None,Is,'<'),
	       # is this a closing tag ?
	       ('closetag',Is,'/',+1),
	       # a coment ?
	       ('comment',Is,'!',+8),
		(None,Word,'--',+4),
		('text',sWordStart,BMS('-->'),+1),
		(None,Skip,3),
		(None,Jump,To,MatchOk),
		# a SGML-Tag ?
		('other',AllNotIn,'>',+1),
		(None,Is,'>'),
		    (None,Jump,To,MatchOk),
		   # XMP-Tag ?
		   ('tagname',Word,'XMP',+5),
		    (None,Is,'>'),
		    ('text',WordStart,'</XMP>'),
		    (None,Skip,len('</XMP>')),
		    (None,Jump,To,MatchOk),
		   # get the tag name
		   ('tagname',AllInSet,tagname_set),
		   # look for attributes
		   (None,AllInSet,white_set,+4),
		    (None,Is,'>',+1,MatchOk),
		    ('tagattr',Table,tagattr),
		    (None,Jump,To,-3),
		   (None,Is,'>',+1,MatchOk),
		   # handle incorrect attributes
		   (error,AllNotIn,'> \n\r\t'),
		   (None,Jump,To,-6)
		  )
    htmltable = (# HTML-Tag
		 ('htmltag',Table,htmltag,+1,+4),
		 # not HTML, but still using this syntax: error or inside XMP-tag !
		 (error,Is,'<',+3),
		  (error,AllNotIn,'>',+1),
		  (error,Is,'>'),
		 # normal text
		 ('text',AllNotIn,'<',+1),
		 # end of file
		 ('eof',EOF,Here,-5),
		)
      
	
	Package Structure
    
    
[TextTools]
       [Constants]
              Sets.py
              TagTables.py
       Doc/
       [Examples]
              HTML.py
              Loop.py
              Python.py
              RTF.py
              RegExp.py
              Tim.py
              Words.py
              altRTF.py
              pytag.py
       [mxTextTools]
              test.py
       TextTools.py
    
    import.
    from
      mx.TextTools.Constants.TagTables import *.
    Optional Add-Ons for mxTextTools
    tag() function.
    Support
    
	
    
    Copyright & License
    
	
    
    History & Future