# 1 Using the pyparsing module

author

  Paul McGuire

address

  ptmcg@users.sourceforge.net

revision

  2.0.1a

date

  July, 2013 (minor update August, 2018)

copyright

  Copyright © 2003-2013 Paul McGuire.

abstract

  This document provides how-to instructions for the pyparsing library, an easy-to-use Python module for constructing and executing basic text parsers. The pyparsing module is useful for evaluating user-definable expressions, processing custom application language commands, or extracting data from formatted reports.

Contents

Note: While this content is still valid, there are more detailed descriptions and examples at the online doc server at https://pythonhosted.org/pyparsing/pyparsing-module.html

## 1.1 Steps to follow

To parse an incoming data string, the client code must follow these steps:

1. First define the tokens and patterns to be matched, and assign this to a program variable. Optional results names or parsing actions can also be defined at this time.

2. Call `parseString()` or `scanString()` on this variable, passing in the string to be parsed. During the matching process, whitespace between tokens is skipped by default (although this can be changed). When token matches occur, any defined parse action methods are called.

3. Process the parsed results, returned as a list of strings. Matching results may also be accessed as named attributes of the returned results, if names are defined in the definition of the token pattern, using `setResultsName()`.

### 1.1.1 Hello, World!

The following complete Python program will parse the greeting “Hello, World!”, or any other greeting of the form “<salutation>, <addressee>!”:

    from pyparsing import Word, alphas

    greet = Word(alphas) + "," + Word(alphas) + "!"
    greeting = greet.parseString("Hello, World!")
    print greeting

The parsed tokens are returned in the following form:

    ['Hello', ',', 'World', '!']

### 1.1.2 Usage notes

- The pyparsing module can be used to interpret simple command strings or algebraic expressions, or can be used to extract data from text reports with complicated format and structure (“screen or report scraping”). However, it is possible that your defined matching patterns may accept invalid inputs. Use pyparsing to extract data from strings assumed to be well-formatted.

- To keep up the readability of your code, use operators such as `+`, `|`, `^`, and `~` to combine expressions. You can also combine string literals with ParseExpressions - they will be automatically converted to Literal objects. For example:

      integer  = Word(nums)            # simple unsigned integer
      variable = Word(alphas, max=1)   # single letter variable, such as x, z, m, etc.
      arithOp  = Word("+-*/", max=1)   # arithmetic operators
      equation = variable + "=" + integer + arithOp + integer    # will match "x=2+2", etc.

  In the definition of `equation`, the string `"="` will get added as a `Literal("=")`, but in a more readable way.

- The pyparsing module’s default behavior is to ignore whitespace. This is the case for 99% of all parsers ever written. This allows you to write simple, clean, grammars, such as the above `equation`, without having to clutter it up with extraneous `ws` markers. The `equation` grammar will successfully parse all of the following statements:

      x=2+2
      x = 2+2
      a = 10   *   4
      r= 1234/ 100000

  Of course, it is quite simple to extend this example to support more elaborate expressions, with nesting with parentheses, floating point numbers, scientific notation, and named constants (such as `e` or `pi`). See `fourFn.py`, included in the examples directory.

- To modify pyparsing’s default whitespace skipping, you can use one or more of the following methods:

  - use the static method `ParserElement.setDefaultWhitespaceChars` to override the normal set of whitespace chars (’ tn’). For instance when defining a grammar in which newlines are significant, you should call `ParserElement.setDefaultWhitespaceChars(' \t')` to remove newline from the set of skippable whitespace characters. Calling this method will affect all pyparsing expressions defined afterward.

  - call `leaveWhitespace()` on individual expressions, to suppress the skipping of whitespace before trying to match the expression

  - use `Combine` to require that successive expressions must be adjacent in the input string. For instance, this expression:

        real = Word(nums) + '.' + Word(nums)

    will match “3.14159”, but will also match “3 . 12”. It will also return the matched results as [‘3’, ‘.’, ‘14159’]. By changing this expression to:

        real = Combine(Word(nums) + '.' + Word(nums))

    it will not match numbers with embedded spaces, and it will return a single concatenated string ‘3.14159’ as the parsed token.

- Repetition of expressions can be indicated using `*` or `[]` notation. An expression may be multiplied by an integer value (to indicate an exact repetition count), or indexed with a tuple, representing min and max repetitions (with `...` representing no min or no max, depending whether it is the first or second tuple element). See the following examples, where n is used to indicate an integer value:

  - `expr*3` is equivalent to `expr + expr + expr`

  - `expr[2, 3]` is equivalent to `expr + expr + Optional(expr)`

  - `expr[n, ...]` or `expr[n,]` is equivalent to `expr*n + ZeroOrMore(expr)` (read as “at least n instances of expr”)

  - `expr[... ,n]` is equivalent to `expr*(0, n)` (read as “0 to n instances of expr”)

  - `expr[...]` and `expr[0, ...]` are equivalent to `ZeroOrMore(expr)`

  - `expr[1, ...]` is equivalent to `OneOrMore(expr)`

  Note that `expr[..., n]` does not raise an exception if more than n exprs exist in the input stream; that is, `expr[..., n]` does not enforce a maximum number of expr occurrences. If this behavior is desired, then write `expr[..., n] + ~expr`.

- `MatchFirst` expressions are matched left-to-right, and the first match found will skip all later expressions within, so be sure to define less-specific patterns after more-specific patterns. If you are not sure which expressions are most specific, use Or expressions (defined using the `^` operator) - they will always match the longest expression, although they are more compute-intensive.

- `Or` expressions will evaluate all of the specified subexpressions to determine which is the “best” match, that is, which matches the longest string in the input data. In case of a tie, the left-most expression in the `Or` list will win.

- If parsing the contents of an entire file, pass it to the `parseFile` method using:

      expr.parseFile(sourceFile)

- `ParseExceptions` will report the location where an expected token or expression failed to match. For example, if we tried to use our “Hello, World!” parser to parse “Hello World!” (leaving out the separating comma), we would get an exception, with the message:

      pyparsing.ParseException: Expected "," (6), (1,7)

  In the case of complex expressions, the reported location may not be exactly where you would expect. See more information under ParseException .

- Use the `Group` class to enclose logical groups of tokens within a sublist. This will help organize your results into more hierarchical form (the default behavior is to return matching tokens as a flat list of matching input strings).

- Punctuation may be significant for matching, but is rarely of much interest in the parsed results. Use the `suppress()` method to keep these tokens from cluttering up your returned lists of tokens. For example, `delimitedList()` matches a succession of one or more expressions, separated by delimiters (commas by default), but only returns a list of the actual expressions - the delimiters are used for parsing, but are suppressed from the returned output.

- Parse actions can be used to convert values from strings to other data types (ints, floats, booleans, etc.).

- Results names are recommended for retrieving tokens from complex expressions. It is much easier to access a token using its field name than using a positional index, especially if the expression contains optional elements. You can also shortcut the `setResultsName` call:

      stats = ("AVE:" + realNum.setResultsName("average")
               + "MIN:" + realNum.setResultsName("min")
               + "MAX:" + realNum.setResultsName("max"))

  can now be written as this:

      stats = ("AVE:" + realNum("average")
               + "MIN:" + realNum("min")
               + "MAX:" + realNum("max"))

- Be careful when defining parse actions that modify global variables or data structures (as in `fourFn.py`), especially for low level tokens or expressions that may occur within an `And` expression; an early element of an `And` may match, but the overall expression may fail.

## 1.2 Classes

### 1.2.1 Classes in the pyparsing module

`ParserElement` - abstract base class for all pyparsing classes; methods for code to use are:

- `parseString(sourceString, parseAll=False)` - only called once, on the overall matching pattern; returns a ParseResults object that makes the matched tokens available as a list, and optionally as a dictionary, or as an object with named attributes; if parseAll is set to True, then parseString will raise a ParseException if the grammar does not process the complete input string.

- `parseFile(sourceFile)` - a convenience function, that accepts an input file object or filename. The file contents are passed as a string to `parseString()`. `parseFile` also supports the `parseAll` argument.

- `scanString(sourceString)` - generator function, used to find and extract matching text in the given source string; for each matched text, returns a tuple of:

  - matched tokens (packaged as a ParseResults object)

  - start location of the matched text in the given source string

  - end location in the given source string

  `scanString` allows you to scan through the input source string for random matches, instead of exhaustively defining the grammar for the entire source text (as would be required with `parseString`).

- `transformString(sourceString)` - convenience wrapper function for `scanString`, to process the input source string, and replace matching text with the tokens returned from parse actions defined in the grammar (see setParseAction).

- `searchString(sourceString)` - another convenience wrapper function for `scanString`, returns a list of the matching tokens returned from each call to `scanString`.

- `setName(name)` - associate a short descriptive name for this element, useful in displaying exceptions and trace information

- `setResultsName(string, listAllMatches=False)` - name to be given to tokens matching the element; if multiple tokens within a repetition group (such as `ZeroOrMore` or `delimitedList`) the default is to return only the last matching token - if listAllMatches is set to True, then a list of all the matching tokens is returned. (New in 1.5.6 - a results name with a trailing ‘*’ character will be interpreted as setting listAllMatches to True.) Note: `setResultsName` returns a copy of the element so that a single basic element can be referenced multiple times and given different names within a complex grammar.

- `setParseAction(*fn)` - specify one or more functions to call after successful matching of the element; each function is defined as `fn(s, loc, toks)`, where:

  - `s` is the original parse string

  - `loc` is the location in the string where matching started

  - `toks` is the list of the matched tokens, packaged as a ParseResults object

  Multiple functions can be attached to a ParserElement by specifying multiple arguments to setParseAction, or by calling setParseAction multiple times.

  Each parse action function can return a modified `toks` list, to perform conversion, or string modifications. For brevity, `fn` may also be a lambda - here is an example of using a parse action to convert matched integer tokens from strings to integers:

      intNumber = Word(nums).setParseAction(lambda s,l,t: [int(t[0])])

  If `fn` does not modify the `toks` list, it does not need to return anything at all.

- `setBreak(breakFlag=True)` - if breakFlag is True, calls pdb.set_break() as this expression is about to be parsed

- `copy()` - returns a copy of a ParserElement; can be used to use the same parse expression in different places in a grammar, with different parse actions attached to each

- `leaveWhitespace()` - change default behavior of skipping whitespace before starting matching (mostly used internally to the pyparsing module, rarely used by client code)

- `setWhitespaceChars(chars)` - define the set of chars to be ignored as whitespace before trying to match a specific ParserElement, in place of the default set of whitespace (space, tab, newline, and return)

- `setDefaultWhitespaceChars(chars)` - class-level method to override the default set of whitespace chars for all subsequently created ParserElements (including copies); useful when defining grammars that treat one or more of the default whitespace characters as significant (such as a line-sensitive grammar, to omit newline from the list of ignorable whitespace)

- `suppress()` - convenience function to suppress the output of the given element, instead of wrapping it with a Suppress object.

- `ignore(expr)` - function to specify parse expression to be ignored while matching defined patterns; can be called repeatedly to specify multiple expressions; useful to specify patterns of comment syntax, for example

- `setDebug(dbgFlag=True)` - function to enable/disable tracing output when trying to match this element

- `validate()` - function to verify that the defined grammar does not contain infinitely recursive constructs

- `parseWithTabs()` - function to override default behavior of converting tabs to spaces before parsing the input string; rarely used, except when specifying whitespace-significant grammars using the White class.

- `enablePackrat()` - a class-level static method to enable a memoizing performance enhancement, known as “packrat parsing”. packrat parsing is disabled by default, since it may conflict with some user programs that use parse actions. To activate the packrat feature, your program must call the class method ParserElement.enablePackrat(). For best results, call enablePackrat() immediately after importing pyparsing.

### 1.2.2 Basic ParserElement subclasses

- `Literal` - construct with a string to be matched exactly

- `CaselessLiteral` - construct with a string to be matched, but without case checking; results are always returned as the defining literal, NOT as they are found in the input string

- `Keyword` - similar to Literal, but must be immediately followed by whitespace, punctuation, or other non-keyword characters; prevents accidental matching of a non-keyword that happens to begin with a defined keyword

- `CaselessKeyword` - similar to Keyword, but with caseless matching behavior

- `Word` - one or more contiguous characters; construct with a string containing the set of allowed initial characters, and an optional second string of allowed body characters; for instance, a common Word construct is to match a code identifier - in C, a valid identifier must start with an alphabetic character or an underscore (‘_’), followed by a body that can also include numeric digits. That is, `a`, `i`, `MAX_LENGTH`, `_a1`, `b_109_`, and `plan9FromOuterSpace` are all valid identifiers; `9b7z`, `$a`, `.section`, and `0debug` are not. To define an identifier using a Word, use either of the following:

      - Word(alphas+"_", alphanums+"_")
      - Word(srange("[a-zA-Z_]"), srange("[a-zA-Z0-9_]"))

  If only one string given, it specifies that the same character set defined for the initial character is used for the word body; for instance, to define an identifier that can only be composed of capital letters and underscores, use:

      - Word("ABCDEFGHIJKLMNOPQRSTUVWXYZ_")
      - Word(srange("[A-Z_]"))

  A Word may also be constructed with any of the following optional parameters:

  - `min` - indicating a minimum length of matching characters

  - `max` - indicating a maximum length of matching characters

  - `exact` - indicating an exact length of matching characters

  If `exact` is specified, it will override any values for `min` or `max`.

  New in 1.5.6 - Sometimes you want to define a word using all characters in a range except for one or two of them; you can do this with the new `excludeChars` argument. This is helpful if you want to define a word with all printables except for a single delimiter character, such as ‘.’. Previously, you would have to create a custom string to pass to Word. With this change, you can just create `Word(printables, excludeChars='.')`.

- `CharsNotIn` - similar to Word, but matches characters not in the given constructor string (accepts only one string for both initial and body characters); also supports `min`, `max`, and `exact` optional parameters.

- `Regex` - a powerful construct, that accepts a regular expression to be matched at the current parse position; accepts an optional `flags` parameter, corresponding to the flags parameter in the re.compile method; if the expression includes named sub-fields, they will be represented in the returned ParseResults

- `QuotedString` - supports the definition of custom quoted string formats, in addition to pyparsing’s built-in `dblQuotedString` and `sglQuotedString`. `QuotedString` allows you to specify the following parameters:

  - `quoteChar` - string of one or more characters defining the quote delimiting string

  - `escChar` - character to escape quotes, typically backslash (default=None)

  - `escQuote` - special quote sequence to escape an embedded quote string (such as SQL’s “” to escape an embedded “) (default=None)

  - `multiline` - boolean indicating whether quotes can span multiple lines (default=False)

  - `unquoteResults` - boolean indicating whether the matched text should be unquoted (default=True)

  - `endQuoteChar` - string of one or more characters defining the end of the quote delimited string (default=None => same as quoteChar)

- `SkipTo` - skips ahead in the input string, accepting any characters up to the specified pattern; may be constructed with the following optional parameters:

  - `include` - if set to true, also consumes the match expression (default is false)

  - `ignore` - allows the user to specify patterns to not be matched, to prevent false matches

  - `failOn` - if a literal string or expression is given for this argument, it defines an expression that should cause the `SkipTo` expression to fail, and not skip over that expression

- `White` - also similar to Word, but matches whitespace characters. Not usually needed, as whitespace is implicitly ignored by pyparsing. However, some grammars are whitespace-sensitive, such as those that use leading tabs or spaces to indicating grouping or hierarchy. (If matching on tab characters, be sure to call parseWithTabs on the top-level parse element.)

- `Empty` - a null expression, requiring no characters - will always match; useful for debugging and for specialized grammars

- `NoMatch` - opposite of Empty, will never match; useful for debugging and for specialized grammars

### 1.2.3 Expression subclasses

- `And` - construct with a list of ParserElements, all of which must match for And to match; can also be created using the ‘+’ operator; multiple expressions can be Anded together using the ‘*’ operator as in:

      ipAddress = Word(nums) + ('.' + Word(nums)) * 3

  A tuple can be used as the multiplier, indicating a min/max:

      usPhoneNumber = Word(nums) + ('-' + Word(nums)) * (1,2)

  A special form of `And` is created if the ‘-’ operator is used instead of the ‘+’ operator. In the ipAddress example above, if no trailing ‘.’ and Word(nums) are found after matching the initial Word(nums), then pyparsing will back up in the grammar and try other alternatives to ipAddress. However, if ipAddress is defined as:

      strictIpAddress = Word(nums) - ('.'+Word(nums))*3

  then no backing up is done. If the first Word(nums) of strictIpAddress is matched, then any mismatch after that will raise a ParseSyntaxException, which will halt the parsing process immediately. By careful use of the ‘-’ operator, grammars can provide meaningful error messages close to the location where the incoming text does not match the specified grammar.

- `Or` - construct with a list of ParserElements, any of which must match for Or to match; if more than one expression matches, the expression that makes the longest match will be used; can also be created using the ‘^’ operator

- `MatchFirst` - construct with a list of ParserElements, any of which must match for MatchFirst to match; matching is done left-to-right, taking the first expression that matches; can also be created using the ‘|’ operator

- `Each` - similar to And, in that all of the provided expressions must match; however, Each permits matching to be done in any order; can also be created using the ‘&’ operator

- `Optional` - construct with a ParserElement, but this element is not required to match; can be constructed with an optional `default` argument, containing a default string or object to be supplied if the given optional parse element is not found in the input string; parse action will only be called if a match is found, or if a default is specified

- `ZeroOrMore` - similar to Optional, but can be repeated

- `OneOrMore` - similar to ZeroOrMore, but at least one match must be present

- `FollowedBy` - a lookahead expression, requires matching of the given expressions, but does not advance the parsing position within the input string

- `NotAny` - a negative lookahead expression, prevents matching of named expressions, does not advance the parsing position within the input string; can also be created using the unary ‘~’ operator

### 1.2.4 Expression operators

- `~` - creates NotAny using the expression after the operator

- `+` - creates And using the expressions before and after the operator

- `|` - creates MatchFirst (first left-to-right match) using the expressions before and after the operator

- `^` - creates Or (longest match) using the expressions before and after the operator

- `&` - creates Each using the expressions before and after the operator

- `*` - creates And by multiplying the expression by the integer operand; if expression is multiplied by a 2-tuple, creates an And of (min,max) expressions (similar to “{min,max}” form in regular expressions); if min is None, intepret as (0,max); if max is None, interpret as expr*min + ZeroOrMore(expr)

- `-` - like `+` but with no backup and retry of alternatives

- `*` - repetition of expression

- `==` - matching expression to string; returns True if the string matches the given expression

- `<<=` - inserts the expression following the operator as the body of the Forward expression before the operator

### 1.2.5 Positional subclasses

- `StringStart` - matches beginning of the text

- `StringEnd` - matches the end of the text

- `LineStart` - matches beginning of a line (lines delimited by `\n` characters)

- `LineEnd` - matches the end of a line

- `WordStart` - matches a leading word boundary

- `WordEnd` - matches a trailing word boundary

### 1.2.6 Converter subclasses

- `Combine` - joins all matched tokens into a single string, using specified joinString (default `joinString=""`); expects all matching tokens to be adjacent, with no intervening whitespace (can be overridden by specifying `adjacent=False` in constructor)

- `Suppress` - clears matched tokens; useful to keep returned results from being cluttered with required but uninteresting tokens (such as list delimiters)

### 1.2.7 Special subclasses

- `Group` - causes the matched tokens to be enclosed in a list; useful in repeated elements like `ZeroOrMore` and `OneOrMore` to break up matched tokens into groups for each repeated pattern

- `Dict` - like `Group`, but also constructs a dictionary, using the [0]’th elements of all enclosed token lists as the keys, and each token list as the value

- `SkipTo` - catch-all matching expression that accepts all characters up until the given pattern is found to match; useful for specifying incomplete grammars

- `Forward` - placeholder token used to define recursive token patterns; when defining the actual expression later in the program, insert it into the `Forward` object using the `<<` operator (see `fourFn.py` for an example).

### 1.2.8 Other classes

- `ParseResults` - class used to contain and manage the lists of tokens created from parsing the input using the user-defined parse expression. ParseResults can be accessed in a number of ways:

  - as a list

    - total list of elements can be found using len()

    - individual elements can be found using [0], [1], [-1], etc.

    - elements can be deleted using `del`

    - the -1th element can be extracted and removed in a single operation using `pop()`, or any element can be extracted and removed using `pop(n)`

  - as a dictionary

    - if `setResultsName()` is used to name elements within the overall parse expression, then these fields can be referenced as dictionary elements or as attributes

    - the Dict class generates dictionary entries using the data of the input text - in addition to ParseResults listed as `[ [ a1, b1, c1, ...], [ a2, b2, c2, ...] ]` it also acts as a dictionary with entries defined as `{ a1 : [ b1, c1, ... ] }, { a2 : [ b2, c2, ... ] }`; this is especially useful when processing tabular data where the first column contains a key value for that line of data

    - list elements that are deleted using `del` will still be accessible by their dictionary keys

    - supports `get()`, `items()` and `keys()` methods, similar to a dictionary

    - a keyed item can be extracted and removed using `pop(key)`. Here key must be non-numeric (such as a string), in order to use dict extraction instead of list extraction.

    - new named elements can be added (in a parse action, for instance), using the same syntax as adding an item to a dict (`parseResults["X"] = "new item"`); named elements can be removed using `del parseResults["X"]`

  - as a nested list

    - results returned from the Group class are encapsulated within their own list structure, so that the tokens can be handled as a hierarchical tree

  ParseResults can also be converted to an ordinary list of strings by calling `asList()`. Note that this will strip the results of any field names that have been defined for any embedded parse elements. (The `pprint` module is especially good at printing out the nested contents given by `asList()`.)

  Finally, ParseResults can be viewed by calling `dump()`. `dump()` will first show the ``asList()` output, followed by an indented structure listing parsed tokens that have been assigned results names.

### 1.2.9 Exception classes and Troubleshooting

- `ParseException` - exception returned when a grammar parse fails; ParseExceptions have attributes loc, msg, line, lineno, and column; to view the text line and location where the reported ParseException occurs, use:

      except ParseException, err:
          print err.line
          print " " * (err.column - 1) + "^"
          print err

- `RecursiveGrammarException` - exception returned by `validate()` if the grammar contains a recursive infinite loop, such as:

      badGrammar = Forward()
      goodToken = Literal("A")
      badGrammar <<= Optional(goodToken) + badGrammar

- `ParseFatalException` - exception that parse actions can raise to stop parsing immediately. Should be used when a semantic error is found in the input text, such as a mismatched XML tag.

- `ParseSyntaxException` - subclass of `ParseFatalException` raised when a syntax error is found, based on the use of the ‘-’ operator when defining a sequence of expressions in an `And` expression.

You can also get some insights into the parsing logic using diagnostic parse actions, and setDebug(), or test the matching of expression fragments by testing them using scanString().

## 1.3 Miscellaneous attributes and methods

### 1.3.1 Helper methods

- `delimitedList(expr, delim=',')` - convenience function for matching one or more occurrences of expr, separated by delim. By default, the delimiters are suppressed, so the returned results contain only the separate list elements. Can optionally specify `combine=True`, indicating that the expressions and delimiters should be returned as one combined value (useful for scoped variables, such as `"a.b.c"`, or `"a::b::c"`, or paths such as `"a/b/c"`).

- `countedArray(expr)` - convenience function for a pattern where an list of instances of the given expression are preceded by an integer giving the count of elements in the list. Returns an expression that parses the leading integer, reads exactly that many expressions, and returns the array of expressions in the parse results - the leading integer is suppressed from the results (although it is easily reconstructed by using len on the returned array).

- `oneOf(string, caseless=False)` - convenience function for quickly declaring an alternative set of `Literal` tokens, by splitting the given string on whitespace boundaries. The tokens are sorted so that longer matches are attempted first; this ensures that a short token does not mask a longer one that starts with the same characters. If `caseless=True`, will create an alternative set of CaselessLiteral tokens.

- `dictOf(key, value)` - convenience function for quickly declaring a dictionary pattern of `Dict(ZeroOrMore(Group(key + value)))`.

- `makeHTMLTags(tagName)` and `makeXMLTags(tagName)` - convenience functions to create definitions of opening and closing tag expressions. Returns a pair of expressions, for the corresponding <tag> and </tag> strings. Includes support for attributes in the opening tag, such as <tag attr1=”abc”> - attributes are returned as keyed tokens in the returned ParseResults. `makeHTMLTags` is less restrictive than `makeXMLTags`, especially with respect to case sensitivity.

- `infixNotation(baseOperand, operatorList)` - (formerly named `operatorPrecedence`) convenience function to define a grammar for parsing infix notation expressions with a hierarchical precedence of operators. To use the `infixNotation` helper:

  1. Define the base “atom” operand term of the grammar. For this simple grammar, the smallest operand is either and integer or a variable. This will be the first argument to the `infixNotation` method.

  2. Define a list of tuples for each level of operator precendence. Each tuple is of the form `(opExpr, numTerms, rightLeftAssoc, parseAction)`, where:

     - `opExpr` - the pyparsing expression for the operator; may also be a string, which will be converted to a Literal; if None, indicates an empty operator, such as the implied multiplication operation between ‘m’ and ‘x’ in “y = mx + b”.

     - `numTerms` - the number of terms for this operator (must be 1, 2, or 3)

     - `rightLeftAssoc` is the indicator whether the operator is right or left associative, using the pyparsing-defined constants `opAssoc.RIGHT` and `opAssoc.LEFT`.

     - `parseAction` is the parse action to be associated with expressions matching this operator expression (the `parseAction` tuple member may be omitted)

  3. Call `infixNotation` passing the operand expression and the operator precedence list, and save the returned value as the generated pyparsing expression. You can then use this expression to parse input strings, or incorporate it into a larger, more complex grammar.

- `matchPreviousLiteral` and `matchPreviousExpr` - function to define and expression that matches the same content as was parsed in a previous parse expression. For instance:

      first = Word(nums)
      matchExpr = first + ":" + matchPreviousLiteral(first)

  will match “1:1”, but not “1:2”. Since this matches at the literal level, this will also match the leading “1:1” in “1:10”.

  In contrast:

      first = Word(nums)
      matchExpr = first + ":" + matchPreviousExpr(first)

  will not match the leading “1:1” in “1:10”; the expressions are evaluated first, and then compared, so “1” is compared with “10”.

- `nestedExpr(opener, closer, content=None, ignoreExpr=quotedString)` - method for defining nested lists enclosed in opening and closing delimiters.

  - `opener` - opening character for a nested list (default=”(“); can also be a pyparsing expression

  - `closer` - closing character for a nested list (default=”)”); can also be a pyparsing expression

  - `content` - expression for items within the nested lists (default=None)

  - `ignoreExpr` - expression for ignoring opening and closing delimiters (default=quotedString)

  If an expression is not provided for the content argument, the nested expression will capture all whitespace-delimited content between delimiters as a list of separate values.

  Use the ignoreExpr argument to define expressions that may contain opening or closing characters that should not be treated as opening or closing characters for nesting, such as quotedString or a comment expression. Specify multiple expressions using an Or or MatchFirst. The default is quotedString, but if no expressions are to be ignored, then pass None for this argument.

- `indentedBlock(statementExpr, indentationStackVar, indent=True)` - function to define an indented block of statements, similar to indentation-based blocking in Python source code:

  - `statementExpr` - the expression defining a statement that will be found in the indented block; a valid `indentedBlock` must contain at least 1 matching `statementExpr`

  - `indentationStackVar` - a Python list variable; this variable should be common to all `indentedBlock` expressions defined within the same grammar, and should be reinitialized to [1] each time the grammar is to be used

  - `indent` - a boolean flag indicating whether the expressions within the block must be indented from the current parse location; if using `indentedBlock` to define the left-most statements (all starting in column 1), set `indent` to False

- `originalTextFor(expr)` - helper function to preserve the originally parsed text, regardless of any token processing or conversion done by the contained expression. For instance, the following expression:

      fullName = Word(alphas) + Word(alphas)

  will return the parse of “John Smith” as [‘John’, ‘Smith’]. In some applications, the actual name as it was given in the input string is what is desired. To do this, use `originalTextFor`:

      fullName = originalTextFor(Word(alphas) + Word(alphas))

- `ungroup(expr)` - function to “ungroup” returned tokens; useful to undo the default behavior of And to always group the returned tokens, even if there is only one in the list. (New in 1.5.6)

- `lineno(loc, string)` - function to give the line number of the location within the string; the first line is line 1, newlines start new rows

- `col(loc, string)` - function to give the column number of the location within the string; the first column is column 1, newlines reset the column number to 1

- `line(loc, string)` - function to retrieve the line of text representing `lineno(loc, string)`; useful when printing out diagnostic messages for exceptions

- `srange(rangeSpec)` - function to define a string of characters, given a string of the form used by regexp string ranges, such as `"[0-9]"` for all numeric digits, `"[A-Z_]"` for uppercase characters plus underscore, and so on (note that rangeSpec does not include support for generic regular expressions, just string range specs)

- `getTokensEndLoc()` - function to call from within a parse action to get the ending location for the matched tokens

- `traceParseAction(fn)` - decorator function to debug parse actions. Lists each call, called arguments, and return value or exception

### 1.3.2 Helper parse actions

- `removeQuotes` - removes the first and last characters of a quoted string; useful to remove the delimiting quotes from quoted strings

- `replaceWith(replString)` - returns a parse action that simply returns the replString; useful when using transformString, or converting HTML entities, as in:

      nbsp = Literal("&nbsp;").setParseAction( replaceWith("<BLANK>") )

- `keepOriginalText`- (deprecated, use originalTextFor instead) restores any internal whitespace or suppressed text within the tokens for a matched parse expression. This is especially useful when defining expressions for scanString or transformString applications.

- `withAttribute( *args, **kwargs )` - helper to create a validating parse action to be used with start tags created with `makeXMLTags` or `makeHTMLTags`. Use `withAttribute` to qualify a starting tag with a required attribute value, to avoid false matches on common tags such as `<TD>` or `<DIV>`.

  `withAttribute` can be called with:

  - keyword arguments, as in `(class="Customer", align="right")`, or

  - a list of name-value tuples, as in `(("ns1:class", "Customer"), ("ns2:align", "right"))`

  An attribute can be specified to have the special value `withAttribute.ANY_VALUE`, which will match any value - use this to ensure that an attribute is present but any attribute value is acceptable.

- `downcaseTokens` - converts all matched tokens to lowercase

- `upcaseTokens` - converts all matched tokens to uppercase

- `matchOnlyAtCol(columnNumber)` - a parse action that verifies that an expression was matched at a particular column, raising a ParseException if matching at a different column number; useful when parsing tabular data

### 1.3.3 Common string and token constants

- `alphas` - same as `string.letters`

- `nums` - same as `string.digits`

- `alphanums` - a string containing `alphas + nums`

- `alphas8bit` - a string containing alphabetic 8-bit characters:

      ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõöøùúûüýþ

- `printables` - same as `string.printable`, minus the space (`' '`) character

- `empty` - a global `Empty()`; will always match

- `sglQuotedString` - a string of characters enclosed in ‘s; may include whitespace, but not newlines

- `dblQuotedString` - a string of characters enclosed in “s; may include whitespace, but not newlines

- `quotedString` - `sglQuotedString | dblQuotedString`

- `cStyleComment` - a comment block delimited by `'/*'` and `'*/'` sequences; can span multiple lines, but does not support nesting of comments

- `htmlComment` - a comment block delimited by `'<!--'` and `'-->'` sequences; can span multiple lines, but does not support nesting of comments

- `commaSeparatedList` - similar to `delimitedList`, except that the list expressions can be any text value, or a quoted string; quoted strings can safely include commas without incorrectly breaking the string into two tokens

- `restOfLine` - all remaining printable characters up to but not including the next newline