Summary

    empy is a system for embedding Python expressions and statements
    in template text; it takes an empy source file, processes it, and
    produces output.  This is accomplished via expansions, which are
    special signals to the empy system and are set off by a special
    prefix (by default the at sign, '@').  empy can expand arbitrary
    Python expressions and statements in this way, as well as a
    variety of special forms.  Textual data not explicitly delimited
    in this way is sent unaffected to the output, allowing Python to
    be used in effect as a markup language.  Also supported are "hook"
    callbacks, recording and playback via diversions, and dynamic,
    chainable filters.  The system is highly configurable via command
    line options and embedded commands.

    Expressions are embedded in text with the '@(...)' notation;
    variations include conditional expressions with '@(...?...:...)'
    and the ability to handle thrown exceptions with '@(...$...)'.  As
    a shortcut, simple variables and expressions can be abbreviated as
    '@variable', '@object.attribute', '@function(arguments)',
    '@sequence' [index], and combinations.  Full-fledged statements
    are embedded with '@{...}'.  Forms of conditional, repeated, and
    recallable expansion are available via '@[...]'.  A '@' followed
    by a whitespace character (including a newline) expands to
    nothing, allowing string concatenations and line continuations.
    Comments are indicated with '@#' and consume the rest of the line,
    up to and including the trailing newline.  '@%' indicate
    "significators," which are special forms of variable assignment
    intended to specify per-file identification information in a
    format which is easy to parse externally.  Escape sequences
    analogous to those in C can be specified with '@\...', and finally
    a '@@' sequence expands to a single literal at sign.


Getting the software

    The current version of empy is 2.1.

    The latest version of the software is available in a tarball here:
    "http://www.alcyone.com/pyos/empy/empy-latest.tar.gz",
    http://www.alcyone.com/pyos/empy/empy-latest.tar.gz.

    The official URL for this Web site is
    "http://www.alcyone.com/pyos/empy/",
    http://www.alcyone.com/pyos/empy/.


Requirements

    empy should work with any version of Python from 1.5.x onward.


License

    This code is released under the "GPL",
    http://www.gnu.org/copyleft/gpl.html.


Basics

    empy is intended for embedding Python code in otherwise
    unprocessed text.  Source files are processed, and the results are
    written to an output file.  Normal text is sent to the output
    unchanged, but markups are processed, expanded to their results,
    and then written to the output file as strings (that is, with the
    'str' function, not 'repr').  The act of processing empy source
    and handling markups is called "expansion."

    Code that is processed is executed exactly as if it were entered
    into the Python interpreter; that is, it is executed with the
    equivalent of 'eval' (for expressions) and 'exec' (for
    statements).  For instance, inside an expression, 'abc' represents
    the *name* 'abc', not the string '"abc"'.

    By default the embedding token prefix is the at sign ('@'), which
    appears neither in valid Python code nor commonly in English text;
    it can be overridden with the -p option (or with the
    'empy.setPrefix' function).  The token prefix indicates to the
    empy interpreter that a special sequence follows and should be
    processed rather than sent to the output untouched (to indicate a
    literal at sign, it can be doubled as in '@@').

    When the interpreter starts processing its target file, no modules
    are imported by default, save the 'empy' pseudomodule (see below),
    which is placed in the globals.  The globals are not cleared or
    reset in any way.  It is perfectly legal to set variables or
    explicitly import modules and then use them in later markups,
    *e.g.*, '@{import time} ... @time.time()'.  Scoping rules are as
    in normal Python, although all defined variables and objects are
    taken to be in the global namespace.

    Activities you would like to be done before any processing of the
    main empy file can be specified with the -I, -D, -E, -F, and -P
    options.  -I imports modules, -D executes a Python variable
    assignment, -E executes an arbitrary Python (not empy) statement,
    -F executes a Python (not empy) file, and -P processes an empy
    (not Python) file.  These operations are done in the order they
    appear on the command line; any number of each (including, of
    course, zero) can be used.


Expansions

    The following markups are supported.  For concreteness below, '@'
    is taken for the sake of argument to be the prefix character,
    although this can be changed.

    **'@# COMMENT NEWLINE'** -- A comment.  Comments, including the
      trailing newline, are stripped out completely.  Comments should
      only be present outside of expansions.  The comment itself is
      not processed in any way: It is completely discarded.  This
      allows '@#' comments to be used to disable markups.  *Note:* As
      special support for "bangpaths" in UNIX like operating systems,
      if the first line of a file (or indeed any context) begins with
      '#!', it is treated as a '@#' comment.  A '#!' sequence
      appearing anywhere else will be handled literally and unaltered
      in the expansion.  Example::

          @# This line is a comment.
          @# This will NOT be expanded: @x.

    **'@ WHITESPACE'** -- A '@' followed by one whitespace character
      (a space, horizontal tab, vertical tab, carriage return, or
      newline) is expanded to nothing; it serves as a way to
      explicitly separate two elements which might otherwise be
      interpreted as being the same symbol (such as '@name@ s' to mean
      '@(name)s'; see below).  Also, since a newline qualifies as
      whitespace here, the lone '@' at the end of a line represents a
      line continuation, similar to the backslash in other languages.
      Coupled with statement expansion below, spurious newlines can be
      eliminated in statement expansions by use of the '@{...}@'
      construct.  Example::

          This will appear as one word: salt@ water.
          This is a line continuation; @
          this text will appear on the same line.

    **'@\ ESCAPE_CODE'** -- An escape code.  Escape codes in empy are
      similar to C-style escape codes, although they all begin with
      the prefix character.  Valid escape codes include:

          '@\0' -- NUL, null

          '@\a' -- BEL, bell

          '@\b' -- BS, backspace

          '@\d' -- three-digital decimal code DDD

          '@\e' -- ESC, escape

          '@\f' -- FF, form feed

          '@\h' -- DEL, delete

          '@\n' -- LF, linefeed character, newline
          
          '@\oOOO' -- three-digit octal code OOO

          '@\r' -- CR, carriage return

          '@\s' -- SP, space

          '@\t' -- HT, horizontal tab

          '@\v' -- VT, vertical tab

          '@\xHH' -- two-digit hexadecimal code HH

          '@\z' -- EOT, end of transmission

          '@^X' -- the control character ^X

      Unlike in C-style escape codes, escape codes taking some number
      of digits afterward always take the same number to prevent
      ambiguities.  Furthermore, unknown escape codes are treated as
      parse errors to discourage potential subtle mistakes.  Unlike in
      C, to represent an octal value, one must use '@\o...'.
      Example::

          This embeds a newline.@\nThis is on the following line.
          This beeps!@\a
          There is a tab here:@\tSee?
          This is the character with octal code 141: @\o141.

    **'@@'** -- A literal at sign ('@').  To embed two adjacent at
      signs, use '@@@@', and so on.  Any literal at sign that you wish
      to appear in your text must be written this way, so that it will
      not be processed by the system.  *Note:* If a prefix other than
      '@' has been chosen via the command line option, one expresses
      that literal prefix by doubling it, not by appending a '@'.
      Example::

          The prefix character is @@.
          To get the expansion of x you would write @@x.

    **'@)', '@]', '@}'** -- These expand to literal close parentheses,
      close brackets, and close braces, respectively; these are
      included for completeness and explicitness only.  Example::

          This is a close parenthesis: @).

    **'@( EXPRESSION )'** -- Evaluate an expression, and replace the
      tokens with the string (via a call to 'str') representation
      evaluation of that expression.  Whitespace immediately inside
      the parentheses is ignored; '@( expression )' is equivalent to
      '@(expression)'.  If the expression evaluates to 'None', nothing
      is expanded in its place; this allows function calls that depend
      on side effects (such as printing) to be called as expressions.
      (If you really *do* want a 'None' to appear in the output, then
      use the Python string '"None"'.)  Example::

          2 + 2 is @(2 + 2).
          4 squared is @(4**2).
          The value of the variable x is @(x).
          This will be blank: @(None).

    **'@( TEST ? THEN (: ELSE)_opt ($ CATCH)_opt )'** -- A special
      form of expression evaluation representing conditional and
      protected evaluation.  Evaluate the "test" expression; if it
      evaluates to true (in the Pythonic sense), then evaluate the
      "then" section as an expression and expand with the 'str' of
      that result.  If false, then the "else" section is evaluated and
      similarly expanded.  The "else" section is optional and, if
      omitted, is equivalent to 'None' (that is, no expansion will
      take place).

      If the "catch" section is present, then if any of the prior
      expressions raises an exception when evaluated, the expansion
      will be substituted with the evaluation of the catch expression.
      (If the "catch" expression itself raises, then that exception
      will be propagated normally.)  The catch section is optional
      and, if omitted, is equivalent to 'None' (that is, no expansion
      will take place).  An exception (cough) to this is if one of
      these first expressions raises a SyntaxError; in that case the
      protected evaluation lets the error through without evaluating
      the "catch" expression.  The intent of this construct is to
      catch runtime errors, and if there is actually a syntax error in
      the "try" code, that is a problem that should probably be
      diagnosed rather than hidden.  Example::

          What is x? x is @(x ? "true" : "false").
          Pluralization: How many words? @x word@(x != 1 ? 's').
          The value of foo is @(foo $ "undefined").
          The square root of -1 is @(math.sqrt(-1) $ "not real").

    **'@ SIMPLE_EXPRESSION'** -- As a shortcut for the '@(...)'
      notation, the parentheses can be omitted if it is followed by a
      "simple expression."  A simple expression consists of a name
      followed by a series of function applications, array
      subscriptions, or attribute resolutions, with no intervening
      whitespace.  For example:

          - a name, possibly with qualifying attributes (*e.g.*,
            '@value', '@os.environ').

          - a straightforward function call (*e.g.*, '@min(2, 3)',
            '@time.ctime()'), with no space between the function name
            and the open parenthesis.

          - an array subscription (*e.g.*, '@array[index]',
            '@os.environ[name]', with no space between the name and
            the open bracket.

          - any combination of the above (*e.g.*,
            '@function(args).attr[sub].other[i](foo)').

      In essence, simple expressions are expressions that can be
      written ambiguously from text, without intervening space.  Note
      that trailing dots are not considered part of the expansion
      (*e.g.*, '@x.' is equivalent to '@(x).', not '@(x.)', which
      would be illegal anyway).  Also, whitespace is allowed within
      parentheses or brackets since it is unambiguous , but not
      between identifiers and parentheses, brackets, or dots.
      Explicit '@(...)' notation can be used instead of the
      abbreviation when concatenation is what one really wants
      (*e.g.*, '@(word)s' for simple pluralization of the contents of
      the variable 'word').  As above, if the expression evaluates to
      the 'None' object, nothing is expanded.  Example::

          The value of x is @x.
          The ith value of a is @a[i].
          The result of calling f with q is @f(q).
          The attribute a of x is @x.a.
          The current time is @time.ctime(time.time()).
          The current year is @time.localtime(time.time())[0].
          These are the same: @min(2,3) and @min(2, 3).
          But these are not the same: @min(2, 3) vs. @min (2, 3).
          The plural of @name is @(name)s, or @name@ s.

    **'@` EXPRESSION `'** -- Evaluate a expression, and replace the
      tokens with the 'repr' (instead of the 'str' which is the
      default) of the evaluation of that expression.  This expansion
      is primarily intended for debugging and is unlikely to be useful
      in actual practice.  That is, a '@`...`' is identical to
      '@(repr(...))'.  Example::

          The repr of the value of x is @`x`.
          This print the Python repr of a module: @`time`.
          This actually does print None: @`None`.

    **'@: EXPRESSION : DUMMY :'** -- Evaluate an expression and then
      expand to a '@:', the original expression, a ':', the evaluation
      of the expression, and then a ':'.  The current contents of the
      dummy area are ignored in the new expansion.  In this sense it
      is self-evaluating; the syntax is available for use in
      situations where the same text will be sent through the empy
      processor multiple times.  Example::

          This construct allows self-evaluation:
          @:2 + 2:this will get replaced with 4:

    **'@[ if EXPRESSION : CODE ]'** -- Evaluate the Python test
      expression; if it evaluates to true, then expand the following
      code through the empy system (which can contain markups),
      otherwise, expand to nothing.  Example::

          @[if x > 0:@x is positive.]
          @# If you want to embed unbalanced right brackets:
          @[if showPrompt:@\x5dINIT HELLO]

    **'@[ while EXPRESSION : CODE ]'** -- Evaluate the Python
      expression; if it evaluates to true, then expand the code and
      repeat; otherwise stop expanding.  Example::

          @[while i < 10:@ i is @i.@\n]

    **'@[ for NAME in EXPRESSION : CODE ]'** -- Evaluate the Python
      expression and treat it as a sequence; iterate over the
      sequence, assigning each element to the provided name in the
      globals, and expanding the given code each time.  Example::

          @[for i in range(5):@ The cube of @i is @(i**3).@\n]

    **'@[ macro SIGNATURE : CODE ]'** -- Define a "macro," which is a
      function-like object that causes an expansion whenever it is
      called.  The signature defines the name of the function and its
      parameter list, if any -- just like normal Python functions,
      macro signatures can include optional arguments, keyword
      arguments, etc.  When defined, calling the macro results in the
      given code to be expanded, with the function arguments involved
      as the locals dictionary in the expansion.  Additionally, the
      doc string of the function object that is created corresponds to
      the expansion.  Example::

          @[macro f(n):@ @[for i in range(n):@ @i**2 is @(i**2)@\n]]

    **'@{ STATEMENTS }'** -- Execute a (potentially compound)
      statement; statements have no return value, so the expansion is
      not replaced with anything.  Multiple statements can either be
      separated on different lines, or with semicolons; indentation is
      significant, just as in normal Python code.  Statements,
      however, can have side effects, including printing; output to
      'sys.stdout' (explicitly or via a 'print' statement) is
      collected by the interpreter and sent to the output.  The usual
      Python indentation rules must be followed, although if the
      statement consists of only one statement, leading and trailing
      whitespace is ignored (*e.g.*, '@{ print time.time() }' is
      equivalent to '@{print time.time()}').  Example::

          @{x = 123}
          @{a = 1; b = 2}
          @{print time.time()}
          @# Note that extra newlines will appear above because of the
          @# newlines trailing the close braces.  To suppress them
          @# use a @ before the newline:
          @{
          for i in range(10):
              print "i is %d" % i
          }@
          @{print "Welcome to empy."}@

    **'@% KEY (WHITESPACE VALUE)_opt NEWLINE'** -- Declare a
      significator.  Significators consume the whole line (including
      the trailing newline), and consist of a key string containing no
      whitespace, and than optional value prefixed by whitespace.  The
      key may not start with or contain internal whitespace, but the
      value may; preceding or following whitespace in the value is
      stripped.  Significators are totally optional, and are intended
      to be used for easy external (that is, outside of empy)
      identification when used in large scale environments with many
      empy files to be processed.  The purpose of significators is to
      provide identification information about each file in a special,
      easy-to-parse form so that external programs can process the
      significators and build databases, independently of empy.
      Inside of empy, when a significator is encountered, its key,
      value pair is translated into a simple assignment of the form
      '__KEY__ = VALUE' , where "__KEY__" is the key string with two
      underscores on either side and "VALUE" is a Python expression.
      Example::

          @%title     "Nobody knows the trouble I've seen"
          @%keywords  ['nobody', 'knows', 'trouble', 'seen']
          @%copyright [2000, 2001, 2002]


Substitutions

    Supported are conditional and repeated substitutions, which
    involve testing or iterating over Python expressions and then
    possibly expanding empy code.  These different from normal Python
    'if', 'for', and 'while' statements since the result is an empy
    expansion, rather than the execution of a Python statement; the
    empy expansion may, of course, contain further expansions.  This
    is useful for in-place conditional or repeated expansion of
    similar text; as with all expansions, markups contained within the
    empy code are processed.  The simplest form would consist
    something like::

        @[if x != 0:x is @x]

    This will expand 'x is @x' if x is greater than zero.  Note that
    all characters, including whitespace and newlines, after the colon
    and before the close bracket are considered part of the code to be
    expanded; to put a space in there for readability, you can use the
    prefix and a whitespace character::

        @[if x != 0:@ x is @x]

    Iteration via while is also possible::

        @{i = 0}@[while i < 10:@ i is @i@\n@{i = i + 1}]

    This is a rather contrived example which iterates i from 0 to 9
    and then prints "i is (value)" for each iteration.

    A more practical example can be demonstrated with the for
    notation::

        <table>@[for x in elements:@ <tr><td>@x</td></tr>]</table>

    This empy fragment would format the contents of 'elements' into an
    HTML table, with one element per row.

    The macro substitution doesn't get replaced with anything, but
    instead defines a "macro," or recallable expansion, which looks
    and behaves like a function.  When called, it expands its
    contents.  The arguments to the function -- which can be defined
    with optional, remaining, and keyword arguments, just like any
    Python function -- can be referenced in the expansion as local
    variables.  For concreteness, the doc string of the macro function
    is the original expansion.  An macro substitution of the form
    '@[macro SIGNATURE:CODE]' is equivalent to the following Python
    code::

        def SIGNATURE:
            repr(CODE) # so it is a doc string
            empy.string(repr(CODE), '<macro>', locals())

    This can be used to defer the expansion of something to a later
    time::

        @[macro header(title='None'):<head><title>@title</title></head>]

    Note that all text up to the trailing bracket is considered part
    of the empy code to be expanded.  If one wishes a stray trailing
    brackets to appear in the code, one can use an escape code to
    indicate it, such as '@\x5d'.  Matching open and close bracket
    pairs do not need to be escaped, for either bracket pairs in an
    expansion or even for further substitutions::

        @[if something:@ This is an unbalanced close bracket: @\x5d]
        @[if something:@ This is a balanced bracket pair: [word]]
        @[if something:@ @[if somethingElse:@ This is nested.]]


Significators

    Significators are intended to represent special assignment in a
    form that is easy to externally parse.  For instance, if one has a
    system that contains many empy files, each of which has its own
    title, one could use a 'title' significator in each file and use a
    simple regular expression to find this significator in each file
    and organize a database of the empy files to be built.  This is an
    easier proposition than, for instance, attempting to grep for a
    normal Python assignment (inside a '@{...}' expansion) of the
    desired variable.

    Significators look like the following::

        @%KEY VALUE

    including the trailing newline, where "key" is a name and "value"
    is a Python expression, and are separated by any whitespace.  This
    is equivalent to the following Python code::

        __KEY__ = VALUE

    That is to say, a significator key translates to a Python variable
    consisting of that key surrounded by double underscores on either
    side.  The value may contain spaces, but the key may not.  So::

        @%title "All Roads Lead to Rome"

    translates to the Python code::

        __title__ = "All Roads Lead to Rome"

    but obviously in a way that easier to detect externally than if
    this Python code were to appear somewhere in an expansion.  Since
    significator keys are surrounded by double underscores,
    significator keys can be any sequence of alphanumeric and
    underscore characters; choosing '123' is perfectly valid for a
    significator (although straight), since it maps to the name
    '__123__' which is a legal Python identifier.

    Note the value can be any Python expression.  The value can be
    omitted; if missing, it is treated as 'None'.

    Significators are completely optional; it is totally legal for a
    empy file or files to be processed without containing any
    significators.

    A regular expression string designed to match significators (with
    the default prefix) is available as 'empy.SIGNIFICATOR_RE_STRING',
    and also is a toplevel definition in the 'em' module itself.


Diversions

    empy supports an extended form of m4-style diversions, which are a
    mechanism for deferring and recalling output on demand.  Multiple
    "streams" of output can be diverted and undiverted in this manner.
    A diversion is identified with a name, which is any immutable
    object such an integer or string.  When recalled, diverted code is
    *not* resent through the empy interpreter (although a filter
    could be set up to do this).

    By default, no diversions take place.  When no diversion is in
    effect, processing output goes directly to the specified output
    file.  This state can be explicitly requested at any time by
    calling the 'empy.stopDiverting' function.  It is always legal to
    call this function.

    When diverted, however, output goes to a deferred location which
    can then be recalled later.  Output is diverted with the
    'empy.startDiversion' function, which takes an argument that is
    the name of the diversion.  If there is no diversion by that name,
    a new diversion is created and output will be sent to that
    diversion; if the diversion already exists, output will be
    appended to that preexisting diversion.

    Output send to diversions can be recalled in two ways.  The first
    is through the 'empy.playDiversion' function, which takes the
    name of the diversion as an argument.  This recalls the named
    diversion, sends it to the output, and then erases that
    diversion.  A variant of this behavior is the
    'empy.replayDiversion', which recalls the named diversion but does
    not eliminate it afterwards; 'empy.replayDiversion' can be
    repeatedly called with the same diversion name, and will replay
    that diversion repeatedly.

    Diversions can also be explicitly deleted without recalling them
    with the 'empy.purgeDiversion' function, which takes the desired
    diversion name as an argument.

    Additionally there are three functions which will apply the above
    operations to all existing diversions: 'empy.playAllDiversions',
    'empy.replayAllDiversions', and 'empy.purgeAllDiversions'.  The
    only difference is that these functions will all do the equivalent
    of a 'empy.stopDiverting' call before they do their thing.

    The name of the current diversion can be requested with the
    'empy.getCurrentDiversion' function; also, the names of all
    existing diversions (in sorted order) can be retrieved with
    'empy.getAllDiversions'.

    When all processing is finished, the equivalent of a call to
    'empy.playAllDiversions' is done.


Filters

    empy also supports dynamic filters.  Filters are put in place
    right "before" the final output file, and so are only invoked
    after all other processing has taken place (including interpreting
    and diverting).  Filters take input, remap it, and then send it to
    the output.

    The current filter can be retrieved with the 'empy.getFilter'
    function.  The filter can be cleared (reset to no filter) with
    'empy.resetFilter' and a special "null filter" which does not send
    any output at all can be installed with 'empy.nullFilter'.  A
    custom filter can be set with the 'empy.setFilter' function; for
    convenience, specialized forms of filters preexist and can be
    accessed with shortcuts for the 'empy.setFilter' argument:

    - 'None' is a special filter meaning "no filter"; when installed,
      no filtering whatsoever will take place.

    - '0' (the integer constant zero) is another special filter that
      represents the null filter; when installed, no output will ever
      be sent to the filter's sink.

    - A filter specified as a function (or lambda) is expected to take
      one string argument and return one string argument; this filter
      will execute the function on any input and use the return value
      as output.

    - A filter that is a string is a 256-character table is
      substituted with the result of a call to 'string.translate'
      using that table.

    - A filter can be an instance of a subclass of 'empy.Filter'.
      This is the most general form of filter.

    - Finally, the argument to 'empy.setFilter' can be a Python list
      consisting of one or more of the above objects.  In that case,
      those filters are chained together in the order they appear in
      the list.  An empty list is the equivalent of 'None'; all
      filters will be uninstalled.

    Filters are, at their core, simply file-like objects in Python
    that, after performing whatever processing they need to do, send
    their work to the next filter in line, or to the final output,
    should there be no more filters.  That is to say, filters can be
    "chained" together; the action of each filter takes place in
    sequence, with the output of one filter being the input of the
    next.

    To create your own filter, you can derive from the 'empy.Filter'
    class and override its 'write' method; it should write to the next
    filter in the chain by accessing the file-like object attribute
    'sink'.  You can also override its 'flush' and 'close' methods, if
    need be; by default these simply flush and close the filter's
    sink, respectively.  You can chain filters together by passing
    them as elements in a list to the 'empy.setFilter' function, or
    you can chain them together manually with the 'attach' method::

        firstFilter.attach(secondFilter)
        empy.setFilter(firstFilter)

    or just let empy do the chaining for you::

        empy.setFilter([firstFilter, secondFilter])

    Subclasses of 'empy.Filter' are already provided with the above
    null, function, and string functionality described above; they are
    'NullFilter', 'FunctionFilter', and 'StringFilter', respectively.
    In addition, a filter which supports buffering, 'BufferedFilter',
    is provided.  Several variants are included: 'SizeBufferedFilter',
    a filter which buffers into fixed-sized chunks,
    'LineBufferedFilter', a filter which buffers by lines, and
    'MaximallyBufferedFilter', a filter which completely buffers its
    input.


Hooks

    The empy system also allows for the usage of "hooks," which are
    callbacks that can be registered with an interpreter to get
    information on the current state of activity and act upon it.

    Hooks are associated with names, which are merely strings; these
    strings represent a state of the interpreter.  Any number of hooks
    can be associated with a given name, and are registered with the
    'empy.addHook' function call.  Hooks are callable objects which
    take two arguments: first, a reference to the interpreter that is
    running; and second, a dictionary that contains contextual
    information about the point at which the hook is invoked; the
    contents of this dictionary are dependent on the hook name.

    Hooks can perform any reasonable action, with one caveat:  When
    hooks are invoked, 'sys.stdout' may not be properly wrapped and so
    should be considered unusable.  If one wishes to really write to
    the actually stdout stream (not the interpreter), use
    'sys.__stdout__.write'.  If one wishes to send output to the
    interpreter, then use 'interpreter.write'.  Neither references to
    'sys.stdout' nor 'print' statements should ever appear in a hook.

    The hooks associated with a given name can be retrieved with
    'empy.getHooks'.  All hooks associated with a name can be cleared
    with 'empy.clearHooks'.  A hook added with 'empy.addHook' can be
    removed with 'empy.removeHook'.  Finally, hooks can be manually
    invoked via 'empy.invokeHook'.

    The following hooks are supported; also listed in curly braces are
    the keys contained in the dictionary argument:

    **'at_shutdown'** -- The interpreter is shutting down.

    **'at_handle'** {meta} -- An exception is being handled; 'meta' is
      the exception (an instance of 'MetaError').  Note that this hook
      is invoked when the exception is *handled* by the empy system,
      not when it is thrown.

    **'before_include'** {name, file} -- An 'empy.include' call is
      about to be processed; 'name' is the context name of the
      inclusion and 'file' is the actual file object associated with
      the include.

    **'after_include'** -- An 'empy.include' was just completed.

    **'before_expand'** {string, locals} -- An 'empy.expand' call is
      about to be processed.  'string' is the actual data that is
      about to be processed; 'locals' is the locals dictionary or
      'None'.

    **'after_expand'** -- An 'empy.expand' was just completed.

    **'at_quote'** {string} -- An 'empy.quote' call is about to be
      processed; 'string' is the string to be quoted.

    **'at_escape'** {string} -- An 'empy.escape' call is about to be
      processed; 'string' is the string to be escaped.

    **'before_file'** {name, file} -- A file object is just about to
      be processed.  'name' is the context name associated with the
      object and 'file' is the file object itself.

    **'after_file'** -- A file object has just finished processing.

    **'before_string'** {name, string} -- A standalone string is just
      about to be processed.  'name' is the context name associated
      with it and 'string' is the string itself.

    **'after_string'** -- A standalone string has just finished being
      processed.

    **'at_parse'** {scanner} -- A parsing pass is just about to be
      performed.  'scanner' is the scanner associated with the parsing
      pass.

    **'before_evaluate'** {expression, locals} -- A Python expression
      is just about to be evaluated.  'expression' is the (string)
      expression, and 'locals' is the locals dictionary or 'None'.

    **'after_evaluate'** -- A Python expression was just evaluated.

    **'before_execute'** {statements, locals} -- A chunk of Python
      statements is just about to be evaluated.  'statements' is the
      (string) statement block, and 'locals' is the locals dictionary
      or 'None'.

    **'before_substitute'** {substitution} -- A '@[...]' substitution
      is just about to be done.  'substitution' is the substitution
      string itself.

    **'after_substitute'** -- A substitution just took place.

    **'before_significate'** {key, value} -- A significator is just
      about to be processed; 'key' is the key and 'value' is the
      value.

    **'after_significate'** -- A significator was just processed.

    As a practical example, this sample Python code would print a
    pound sign followed by the name of every file that is included
    with 'empy.include'::

        def includeHook(interpreter, keywords):
            interpreter.write("# %s\n" % keywords['name'])
        empy.addHook('before_include', includeHook)

    Note that this snippet properly uses a call to 'interpreter.write'
    instead of executing a 'print' statement.


Data flow

    **input -> interpreter -> diversions -> filters -> output**

    Here, in summary, is how data flows through a working empy system:

    1. Input comes from a source, such an .em file on the command
       line, or via an 'empy.include' statement.

    2. The interpreter processes this material as it comes in,
       expanding token sequences as it goes.

    3. After interpretation, data is then sent through the diversion
       layer, which may allow it directly through (if no diversion is
       in progress) or defer it temporarily.  Diversions that are
       recalled initiate from this point.

    4. Any filters in place are then used to filter the data and
       produce filtered data as output.

    5. Finally, any material surviving this far is sent to the output
       stream.  That stream is stdout by default, but can be changed
       with the -o or -a options, or may be fully buffered with the -B
       option (that is, the output file would not even be opened until
       the entire system is finished).


Pseudomodule contents

    The 'empy' pseudomodule (available only in an operating empy
    system) contains the following functions and objects (and their
    signatures, with a suffixed 'opt' indicating an optional
    argument):

    First, basic identification:

    **'VERSION'** -- A constant variable which contains a
      string representation of the empy version.

    **'SIGNIFICATOR_RE_STRING'** -- A constant variable
      representing a regular expression string that can be used to
      find significators in empy code.

    **'interpreter'** -- The instance of the interpreter that is
      currently being used to perform execution.

    **'argv'** -- A list consisting of the name of the primary empy
      script and its command line arguments, in analogue to the
      'sys.argv' list.

    **'args'** -- A list of the command line arguments following the
      primary empy script; this is equivalent to 'empy.argv[1:]'.

    **'identify() -> string, integer'** -- Retrieve identification
      information about the current parsing context.  Returns a
      2-tuple consisting of a filename and a line number; if the file
      is something other than from a physical file (*e.g.*, an
      explicit expansion with 'empy.expand', a file-like object within
      Python, or via the -E or -F command line options), a string
      representation is presented surrounded by angle brackets.  Note
      that the context only applies to the *empy* context, not the
      Python context.

    **'setName(name)'** -- Manually set the name of the current
      context.

    **'setLine(line)'** -- Manually set the line number of the current
      context; line must be a numeric value.  Note that afterward the
      line number will increment by one for each newline that is
      encountered, as before.

    Filter classes:

    **'Filter'** -- The base Filter class which can be derived from to
      make custom filters.

    **'NullFilter'** -- A null filter; all data sent to the filter is
      discarded.

    **'FunctionFilter'** -- A filter which uses a function taking a
      string and returning another to perform the filtering.

    **'StringFilter'** -- A filter which uses a 256-character string
      table to map any incoming character.

    **'BufferedFilter'** -- A filter which does not modify its input,
      but instead holds it until it is told to flush (via the filter's
      'flush' method).  This also serves as the base class for the
      other buffered filters below.

    **'SizeBufferedFilter'** -- A filter which buffers into fixed-size
      chunks, with the possible exception of the last chunk.  The
      buffer size is indicated as the sole argument to the
      constructor.

    **'LineBufferedFilter'** -- A filter which buffers into lines,
      with the possible exception of the last line (which may not end
      with a newline).

    **'MaximallyBufferedFilter'** -- A filter which does not flush any
      of its contents until it is closed.  Note that since this filter
      ignores calls to its 'flush' method, this means that installing
      this filter and then replacing it with another can result in
      loss of data.

    The following functions relate to source manipulation:

    **'include(file_or_filename, locals_opt, bangpaths_opt)'** --
      Include another empy file, by processing it in place.  The
      argument can either be a filename (which is then opened with
      'open' in text mode) or a file object, which is used as is.
      Once the included file is processed, processing of the current
      file continues.  Includes can be nested.  The call also takes an
      optional locals dictionary which will be passed into the
      evaluation function; in addition, the optional Boolean argument
      indicates whether a bangpath ('#!') as the first characters of a
      file will be treated as an empy comment (if true) or left intact
      (if false).

    **'expand(string, locals_opt)' -> string** -- Explicitly invoke
      the empy parsing system to process the given string and return
      its expansion.  This allows multiple levels of expansion,
      *e.g.*, '@(empy.expand("@(2 + 2)"))'.  The call also takes an
      optional locals dictionary which will be passed into the
      evaluation function.  This is necessary when text is being
      expanded inside a function definition and it is desired that the
      function arguments (or just plain local variables) are available
      to be referenced within the expansion.

    **'quote(string) -> string'** -- The inverse process of
      'empy.expand', this will take a string and return a new string
      that, when expanded, would expand to the original string.  In
      practice, this means that appearances of the prefix character
      are doubled, except when they appear inside a string literal.

    **'escape(string, more_opt) -> string'** -- Given a string, quote
      the nonprintable characters contained within it with empy
      escapes.  The optional 'more' argument specifies additional
      characters that should be escaped.

    **'string(string, name_opt, locals_opt)'** -- Explicitly process a
      string-like object.  This differs from 'empy.expand' in that the
      string is directly processed into the empy system, rather than
      being evaluated in an isolated context and then returned as a
      string.

    **'flush()'** -- Do an explicit flush on the underlying stream.

    **'atExit(callable)'** -- Register a callable object (or function)
      taking no arguments which will be called at the end of a normal
      shutdown.  Callable objects registered in this way are called in
      the reverse order in which they are added, so the first callable
      registered with 'empy.atExit' is the last one to be called.
      Note that although the functionality is related to hooks,
      'empy.atExit' does no work via the hook mechanism, and you are
      guaranteed that the interpreter and stdout will be in a
      consistent state when the callable is invoked.

    Changing the behavior of the pseudomodule itself:

    **'flatten(keys_opt)'** -- Perform the equivalent of 'from empy
      import ...' in code (which is not directly possible because
      'empy' is a pseudomodule).  If keys is omitted, it is taken as
      being everything in the 'empy' pseudomodule.  Each of the
      elements of this pseudomodule is flattened into the globals
      namespace; after a call to 'empy.flatten', they can be referred
      to simple as globals, *e.g.*, '@divert(3)' instead of
      '@empy.divert(3)'.  If any preexisting variables are bound to
      these names, they are silently overridden.  Doing this is
      tantamount to declaring an 'from ... import ...' which is often
      considered bad form in Python.

    Prefix-related functions:

    **'getPrefix() -> char'** -- Return the current prefix.

    **'setPrefix(char)'** -- Set a new prefix.  Immediately after this
      call finishes, the prefix will be changed.  Changing the prefix
      affects only the current interpreter; any other created
      interpreters are unaffected.

    Diversions:

    **'stopDiverting()'** -- Any diversions that are currently taking
      place are stopped; thereafter, output will go directly to the
      output file as normal.  It is never illegal to call this
      function.

    **'startDiversion(name)'** -- Start diverting to the specified
      diversion name.  If such a diversion does not already exist, it
      is created; if it does, then additional material will be
      appended to the preexisting diversions.

    **'playDiversion(name)'** -- Recall the specified diversion and
      then purge it.  The provided diversion name must exist.

    **'replayDiversion(name)'** -- Recall the specified diversion
      without purging it.  The provided diversion name must exist.

    **'purgeDiversion(name)'** -- Purge the specified diversion
      without recalling it.  The provided diversion name must exist.

    **'playAllDiversions()'** -- Play (and purge) all existing
      diversions in the sorted order of their names.  This call does
      an implicit 'empy.stopDiverting' before executing.

    **'replayAllDiversions()'** -- Replay (without purging) all
      existing diversions in the sorted order of their names.  This
      call does an implicit 'empy.stopDiverting' before executing.

    **'purgeAllDiversions()'** -- Purge all existing diversions
      without recalling them.  This call does an implicit
      'empy.stopDiverting' before executing.

    **'getCurrentDiversion() -> diversion'** -- Return the name of the
      current diversion.

    **'getAllDiversions() -> sequence'** -- Return a sorted list of
      all existing diversions.

    Filters:

    **'getFilter() -> filter'** -- Retrieve the current filter.
      'None' indicates no filter is installed.

    **'resetFilter()'** -- Reset the filter so that no filtering is
      done.

    **'nullFilter()'** -- Install a special null filter, one which
      consumes all text and never sends any text to the output.

    **'setFilter(filter)'** -- Install a new filter.  A filter is
      'None' or an empty sequence representing no filter, or '0' for a
      null filter, a function for a function filter, a string for a
      string filter, or an instance of 'empy.Filter'.  If filter is a
      list of the above things, they will be chained together
      manually; if it is only one, it will be presumed to be solitary
      or to have already been manually chained together.  See the
      "Filters" section for more information.

    Hooks:

    **'getHooks(name)'** -- Get a list of the hooks associated with
      this name.

    **'clearHooks(name)'** -- Clear all hooks associated with this
      name.

    **'addHook(name, hook, prepend_opt)'** -- Add this hook to the
      hooks associated with this name.  By default, the hook is
      appended to the end of the existing hooks, if any; if the
      optional insert argument is present and true, it will be
      prepended to the list instead.

    **'removeHook(name, hook)'** -- Remove this hook from the hooks
      associated with this name.

    **'invokeHook(name_, ...)'** -- Manually invoke all the hooks
      associated with this name.  The remaining arguments are treated
      as keyword arguments and the resulting dictionary is passed in
      as the second argument to the hooks.


Invocation

    Basic invocation involves running the interpreter on an empy file
    and some optional arguments.  If no file are specified, or the
    file is named '-', empy takes its input from stdin.  One can
    suppress option evaluation (to, say, specify a file that begins
    with a dash) by using the canonical '--' option.

    **'-a'/'--append' (filename)** -- Open the specified file for
      append instead of using stdout.

    **'-f'/'--flatten'** -- Before processing, move the contents of
      the 'empy' pseudomodule into the globals, just as if
      'empy.flatten()' were executed immediately after starting the
      interpreter.  That is, *e.g.*, 'empy.include' can be referred to
      simply as 'include' when this flag is specified on the command
      line.

    **'-h'/'--help'** -- Print usage and exit.

    **'-i'/'--interactive'** -- After the main empy file has been
      processed, the state of the interpreter is left intact and
      further processing is done from stdin.  This is analogous to the
      Python interpreter's -i option, which allows interactive
      inspection of the state of the system after a main module is
      executed.  This behaves as expected when the main file is stdin
      itself.

    **'-k'/'--suppress-errors'** -- Normally when an error is
      encountered, information about its location is printed and the
      empy interpreter exits.  With this option, when an error is
      encountered (except for keyboard interrupts), processing stops
      and the interpreter enters interactive mode, so the state of
      affairs can be assessed.  This is also helpful, for instance,
      when experimenting with empy in an interactive manner.  -k
      implies -i.

    **'-o'/'--output' (filename)** -- Open the specified file for
      output instead of using stdout.  If a file with that name
      already exists it is overwritten.

    **'-p'/'--prefix' (prefix)** -- Change the prefix used to detect
      expansions.  The argument is the one-character string that will
      be used as the prefix.  Note that whatever it is changed to, the
      way to represent the prefix literally is to double it, so if '$'
      is the prefix, a literal dollar sign is represented with '$$'.
      Note that if the prefix is changed to one of the secondary
      characters (those that immediately follow the prefix to indicate
      the type of action empy should take), it will not be possible to
      represent literal prefix characters by doubling them (*e.g.*, if
      the prefix were unadvisedly changed to '#' then '##' would
      already have to represent a comment, so '##' could not represent
      a literal '#').

    **'-r'/'--raw'/'--raw-errors'** -- Normally, empy catches Python
      exceptions and prints them alongside an error notation
      indicating the empy context in which it occurred.  This option
      causes empy to display the full Python traceback; this is
      sometimes helpful for debugging.

    **'-v'/'--version'** -- Print version and exit.

    **'-B'/'--buffered-output'** -- Fully buffer processing output,
      including the file open itself.  This is helpful when, should an
      error occur, you wish that no output file be generated at all
      (for instance, when using empy in conjunction with make).  When
      specified, either the -o or -a options must be specified; fully
      buffering does not work with stdout.

    **'-D'/'--define' (assignment)** -- Execute a Python assignment of
      the form 'variable = expression'.  If only a variable name is
      provided (*i.e.*, the statement does not contain an '=' sign),
      then it is taken as being assigned to None.  The -D option is
      simply a specialized -E option that special cases the lack of an
      assignment operator.  Multiple -D options can be specified.

    **'-E'/'--execute' (statement)** -- Execute the Python (not empy)
      statement before processing any files.  Multiple -E options can
      be specified.

    **'-F'/'--execute-file' (filename)** -- Execute the Python (not
      empy) file before processing any files.  This is equivalent to
      '-E execfile("filename")' but provides a more readable context.
      Multiple -F options can be specified.

    **'-I'/'--import' (module)** -- Imports the specified module name
      before processing any files.  Multiple modules can be specified
      by separating them by commas, or by specifying multiple -I
      options.

    **'-P'/'--preprocess' (filename)** -- Process the empy file before
      processing the primary empy file on the command line.


Examples

    See the sample empy file 'sample.em' which is included with the
    distribution.  Run empy on it by typing something like (presuming
    a UNIX-like operating system)::

         ./em.py sample.em

    and compare the results and the sample source file side by side.
    The sample content is intended to be self-documenting.

    The file 'sample.bench' is the benchmark output of the sample.
    Running the empy interpreter on the provided 'sample.em' file
    should produce precisely the same results.  You can run diff to
    verify that your interpreter is behaving as expected::

        ./test.sh

    By default this will test with the first Python interpreter
    available in the path; if you want to test with another
    interpreter, you can provide it as the first argument on the
    command line::

        ./test.sh /usr/bin/python1.5


Known issues and caveats

    - empy is intended for static processing of documents, rather than
      dynamic use, and hence speed of processing was not a major
      consideration in its design.

    - empy is not threadsafe.

    - Expressions ('@(...)') are intended primarily for their return
      value; statements ('@{...}') are intended primarily for their
      side effects, including of course printing.  If an expression is
      expanded that as a side effect prints something, then the
      printing side effects will appear in the output *before* the
      expansion of the expression value.

    - Due to Python's curious handling of the 'print' keyword --
      particularly the form with a trailing comma to suppress the
      final newline -- mixing statement expansions using prints inline
      with unexpanded text will often result in surprising behavior,
      such as extraneous (sometimes even deferred!) spaces.  This is a
      Python "feature"; for finer control over output formatting -- as
      is normal with python -- use 'sys.stdout.write' or
      'empy.interpreter.write' (these will do the same thing)
      directly.

    - To function properly, empy must override 'sys.stdout' with a
      proxy file object, so that it can capture output of side effects
      and support diversions for each interpreter instance.  It is
      important that code executed in an environment *not* rebind
      'sys.stdout', although it is perfectly legal to invoke it
      explicitly (*e.g.*, '@sys.stdout.write("Hello world\n")').  If
      one really needs to access the "true" stdout, then use
      'sys.__stdout__' instead (which should also not be rebound).
      empy uses the standard Python error handlers when exceptions are
      raised in empy code, which print to 'sys.stderr'.

    - The 'empy' "module" exposed through the empy interface (*e.g.*,
      '@empy') is an artificial module.  It cannot be imported with
      the 'import' statement (and shouldn't -- it is an artifact of
      the empy processing system and does not correspond to any
      accessible '.py' file).

    - For an empy statement expansion all alone on a line, *e.g.*,
      '@{a = 1}', note that this will expand to a blank line due to
      the newline following the closing curly brace.  To suppress this
      blank line, use the symmetric convention '@{a = 1}@'.

    - When using empy with make, note that partial output may be
      created before an error occurs; this is a standard caveat when
      using make.  To avoid this, write to a temporary file and move
      when complete, delete the file in case of an error, use the -B
      option to fully buffer output (including the open), or (with GNU
      make) define a '.DELETE_ON_ERROR' target.

    - 'empy.identify' tracks the context of executed *empy* code, not
      Python code.  This means that blocks of code delimited with '@{'
      and '}' will identify themselves as appearing on the line at
      which the '}' appears, and that pure Python code executed via
      the -D, -E and -F command line arguments will show up as all taking
      place on line 1.  If you're tracking errors and want more
      information about the location of the errors from the Python
      code, use the -r command line option.


Wish list

    Here are some random ideas for future revisions of empy.  If any
    of these are of particular interest to you, your input would be
    appreciated.

    - A transparent "pseudo"-'sys' presented to empy programs might be
      warranted so that 'sys.stdout' need not be overridden at the top
      level.  This may not be very feasible without enforcing
      restricted contexts, which is not always desirable.

    - It would be good for statement expansions to align total
      indentations (*i.e.*, the entire snippet of code can be indented
      by the same amount simply as a visual aid) of code as a
      convenience.

    - The ability to funnel all code through a configurable 'RExec'
      for user-controlled security control.

    - Optimized handling of processing would be nice for the
      possibility of an Apache module devoted to empy processing.

    - Some manner of "freezing" and "restoring," similar to m4's
      functionality, probably involving pickling and unpickling the
      globals, or at least some method of resetting them.  Since this
      is so easy in Python itself, it's probably best left to the
      user.

    - An empy emacs mode.

    - An "unbuffered" option which would lose contextual information
      like line numbers, but could potentially be more efficient at
      processing large files.

    - Various optimizations such as offloading diversions to files
      when they become truly huge.

    - Unicode support, particularly for filters.  (This may be
      problematic given Python 1.5.2 support.)

    - Support for mapping filters (specified by dictionaries).

    - Support for some sort of batch processing, where several empy
      files can be listed at once and all of them evaluated with the
      same initial (presumably expensive) environment.

    - A "trivial" mode, where all the empy system does is scan for
      @...@ tokens and replace them with evaluations/executions.  This
      has the down side of being much less configurable but the upside
      of being extremely efficient.

    - A more elaborate interactive mode, perhaps with a prompt and
      readlines support.


Author's notes

    I originally conceived empy as a replacement for my "Web
    templating system", http://www.alcyone.com/max/info/m4.html which
    uses "m4", http://www.seindal.dk/rene/gnu/ (a general
    macroprocessing system for UNIX).

    Most of my Web sites include a variety of m4 files, some of which
    are dynamically generated from databases, which are then scanned
    by a cataloging tool to organize them hierarchically (so that,
    say, a particular m4 file can understand where it is in the
    hierarchy, or what the titles of files related to it are without
    duplicating information); the results of the catalog are then
    written in database form as an m4 file (which every other m4 file
    implicitly includes), and then GNU make converts each m4 to an
    HTML file by processing it.

    As the Web sites got more complicated, the use of m4 (which I had
    originally enjoyed for the challenge and abstractness) really
    started to be come an impediment to serious work; while I am very
    knowledgeable about m4 -- having used it for for so many years --
    getting even simple things done with it is awkward and difficult.
    Worse yet, as I started to use Python more and more over the
    years, the cataloging programs which scanned the m4 and built m4
    databases were migrated to Python and made almost trivial, but
    writing out huge awkward tables of m4 definitions simply to make
    them accessible in other m4 scripts started to become almost
    farcical -- especially when coupled with the difficulty in getting
    simple things done in m4.

    It occurred to me what I really wanted was an all-Python solution.
    But replacing what used to be the m4 files with standalone Python
    programs would result in somewhat awkward programs normally
    consisting mostly of unprocessed text punctuated by small portions
    where variables and small amounts of code need to be substituted.
    Thus the idea was a sort of inverse of a Python interpreter: a
    program that normally would just pass text through unmolested, but
    when it found a special signifier would execute Python code in a
    persistent environment.  After considering between choices of
    signifiers, I settled on '@' and empy was born.

    As I developed the tool, I realized it could have general appeal,
    even to those with widely varying problems to solve, provided the
    core tool they needed was an interpreter that could embed Python
    code inside templated text.  As I continue to use the tool, I have
    been adding features, usually as unintrusively as possible, as I
    see areas that can be improved.

    A design goal of empy is that its feature set should work on
    several levels; at each level, if the user does not wish or need
    to use features from another level, they are under no obligation
    to do so.  If you have no need of substitutions, for instance, you
    are under no obligation to use them.  If significators will not
    help you organize a set of empy scripts globally, then you need
    not use them.  New features that are being added are whenever
    possible transparently backward compatible; if you do not need
    them, their introduction should not affect you in any way.


Release history

    - 2.1; 2002 Oct 18.  'empy.atExit' registry separate from hooks to
      allow for normal interpreter support; include a benchmark sample
      and test.sh verification script; expose 'empy.string' directly;
      -D option for explicit defines on command line; remove
      ill-conceived support for '@else:' separator in '@[if ...]'
      substitution; handle nested substitutions properly; '@[macro
      ...]'  substitution for creating recallable expansions.

    - 2.0.1; 2002 Oct 8.  Fix missing usage information; fix
      after_evaluate hook not getting called; add 'empy.atExit' call
      to register values.

    - 2.0; 2002 Sep 30.  Parsing system completely revamped and
      simplified, eliminating a whole class of context-related bugs;
      builtin support for buffered filters; support for registering
      hooks; support for command line arguments; interactive mode with
      -i; significator value extended to be any valid Python
      expression.

    - 1.5.1; 2002 Sep 24.  Allow '@]' to represent unbalanced close
      brackets in '@[...]' markups.

    - 1.5; 2002 Sep 18.  Escape codes ('@\...'); conditional and
      repeated expansion substitutions via '@[if E:...]', '@[for X in
      E:...]', and '@[while E:...]' notations; fix a few bugs
      involving files which do not end in newlines.

    - 1.4; 2002 Sep 7.  Fix bug with triple quotes; collapse
      conditional and protected expression syntaxes into the single
      generalized '@(...)' notation; 'empy.setName' and 'empy.setLine'
      functions; true support for multiple concurrent interpreters
      with improved sys.stdout proxy; proper support for 'empy.expand'
      to return a string evaluated in a subinterpreter as intended;
      merged Context and Parser classes together, and separated out
      Scanner functionality.

    - 1.3; 2002 Aug 24.  Pseudomodule as true instance; move toward
      more verbose (and clear) pseudomodule functions; fleshed out
      diversion model; filters; conditional expressions; protected
      expressions; preprocessing with -P (in preparation for
      possible support for command line arguments).

    - 1.2; 2002 Aug 16.  Treat bangpaths as comments; 'empy.quote' for
      the opposite process of 'empy.expand'; significators ('@%...'
      sequences); -I option; -f option; much improved documentation.

    - 1.1.5; 2002 Aug 15.  Add a separate 'invoke' function that can be
      called multiple times with arguments to simulate multiple runs.

    - 1.1.4; 2002 Aug 12.  Handle strings thrown as exceptions
      properly; use getopt to process command line arguments; cleanup
      file buffering with AbstractFile; very slight documentation and
      code cleanup.

    - 1.1.3; 2002 Aug 9.  Support for changing the prefix from within
      the 'empy' pseudomodule.

    - 1.1.2; 2002 Aug 5.  Renamed buffering option to -B, added -F
      option for interpreting Python files from the command line,
      fixed improper handling of exceptions from command line options
      (-E, -F).

    - 1.1.1; 2002 Aug 4.  Typo bugfixes; documentation clarification.

    - 1.1; 2002 Aug 4.  Added options for fully buffering output
      (including file opens), executing commands through the command
      line; some documentation errors fixed.

    - 1.0; 2002 Jul 23.  Renamed project to empy.  Documentation and
      sample tweaks; added 'empy.flatten'.  Added -a option.

    - 0.3; 2002 Apr 14.  Extended "simple expression" syntax,
      interpreter abstraction, proper context handling, better error
      handling, explicit file inclusion, extended samples.

    - 0.2; 2002 Apr 13.  Bugfixes, support non-expansion of Nones,
      allow choice of alternate prefix.

    - 0.1.1; 2002 Apr 12.  Bugfixes, support for Python 1.5.x, add -r
      option.

    - 0.1; 2002 Apr 12.  Initial early access release.


Author

    This module was written by "Erik Max Francis",
    http://www.alcyone.com/max/.  If you use this software, have
    suggestions for future releases, or bug reports, "I'd love to hear
    about it", mailto:pyos@alcyone.com.


Version

    Version 2.1 $Date: 2002/10/18 $ $Author: max $
