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1 <html>
2 <head>
3 <title>PLY (Python Lex-Yacc)</title>
4 </head>
5 <body bgcolor="#ffffff">
6
7 <h1>PLY (Python Lex-Yacc)</h1>
8
9 <b>
10 David M. Beazley <br>
11 dave@dabeaz.com<br>
12 </b>
13
14 <p>
15 <b>PLY Version: 3.6</b>
16 <p>
17
18 <!-- INDEX -->
19 <div class="sectiontoc">
20 <ul>
21 <li><a href="#ply_nn1">Preface and Requirements</a>
22 <li><a href="#ply_nn1">Introduction</a>
23 <li><a href="#ply_nn2">PLY Overview</a>
24 <li><a href="#ply_nn3">Lex</a>
25 <ul>
26 <li><a href="#ply_nn4">Lex Example</a>
27 <li><a href="#ply_nn5">The tokens list</a>
28 <li><a href="#ply_nn6">Specification of tokens</a>
29 <li><a href="#ply_nn7">Token values</a>
30 <li><a href="#ply_nn8">Discarded tokens</a>
31 <li><a href="#ply_nn9">Line numbers and positional information</a>
32 <li><a href="#ply_nn10">Ignored characters</a>
33 <li><a href="#ply_nn11">Literal characters</a>
34 <li><a href="#ply_nn12">Error handling</a>
35 <li><a href="#ply_nn14">EOF Handling</a>
36 <li><a href="#ply_nn13">Building and using the lexer</a>
37 <li><a href="#ply_nn14">The @TOKEN decorator</a>
38 <li><a href="#ply_nn15">Optimized mode</a>
39 <li><a href="#ply_nn16">Debugging</a>
40 <li><a href="#ply_nn17">Alternative specification of lexers</a>
41 <li><a href="#ply_nn18">Maintaining state</a>
42 <li><a href="#ply_nn19">Lexer cloning</a>
43 <li><a href="#ply_nn20">Internal lexer state</a>
44 <li><a href="#ply_nn21">Conditional lexing and start conditions</a>
45 <li><a href="#ply_nn21">Miscellaneous Issues</a>
46 </ul>
47 <li><a href="#ply_nn22">Parsing basics</a>
48 <li><a href="#ply_nn23">Yacc</a>
49 <ul>
50 <li><a href="#ply_nn24">An example</a>
51 <li><a href="#ply_nn25">Combining Grammar Rule Functions</a>
52 <li><a href="#ply_nn26">Character Literals</a>
53 <li><a href="#ply_nn26">Empty Productions</a>
54 <li><a href="#ply_nn28">Changing the starting symbol</a>
55 <li><a href="#ply_nn27">Dealing With Ambiguous Grammars</a>
56 <li><a href="#ply_nn28">The parser.out file</a>
57 <li><a href="#ply_nn29">Syntax Error Handling</a>
58 <ul>
59 <li><a href="#ply_nn30">Recovery and resynchronization with error rules</a>
60 <li><a href="#ply_nn31">Panic mode recovery</a>
61 <li><a href="#ply_nn35">Signalling an error from a production</a>
62 <li><a href="#ply_nn38">When Do Syntax Errors Get Reported</a>
63 <li><a href="#ply_nn32">General comments on error handling</a>
64 </ul>
65 <li><a href="#ply_nn33">Line Number and Position Tracking</a>
66 <li><a href="#ply_nn34">AST Construction</a>
67 <li><a href="#ply_nn35">Embedded Actions</a>
68 <li><a href="#ply_nn36">Miscellaneous Yacc Notes</a>
69 </ul>
70 <li><a href="#ply_nn37">Multiple Parsers and Lexers</a>
71 <li><a href="#ply_nn38">Using Python's Optimized Mode</a>
72 <li><a href="#ply_nn44">Advanced Debugging</a>
73 <ul>
74 <li><a href="#ply_nn45">Debugging the lex() and yacc() commands</a>
75 <li><a href="#ply_nn46">Run-time Debugging</a>
76 </ul>
77 <li><a href="#ply_nn49">Packaging Advice</a>
78 <li><a href="#ply_nn39">Where to go from here?</a>
79 </ul>
80 </div>
81 <!-- INDEX -->
82
83
84
85
86
87 <H2><a name="ply_nn1"></a>1. Preface and Requirements</H2>
88
89
90 <p>
91 This document provides an overview of lexing and parsing with PLY.
92 Given the intrinsic complexity of parsing, I would strongly advise
93 that you read (or at least skim) this entire document before jumping
94 into a big development project with PLY.
95 </p>
96
97 <p>
98 PLY-3.5 is compatible with both Python 2 and Python 3. If you are using
99 Python 2, you have to use Python 2.6 or newer.
100 </p>
101
102 <H2><a name="ply_nn1"></a>2. Introduction</H2>
103
104
105 PLY is a pure-Python implementation of the popular compiler
106 construction tools lex and yacc. The main goal of PLY is to stay
107 fairly faithful to the way in which traditional lex/yacc tools work.
108 This includes supporting LALR(1) parsing as well as providing
109 extensive input validation, error reporting, and diagnostics. Thus,
110 if you've used yacc in another programming language, it should be
111 relatively straightforward to use PLY.
112
113 <p>
114 Early versions of PLY were developed to support an Introduction to
115 Compilers Course I taught in 2001 at the University of Chicago.
116 Since PLY was primarily developed as an instructional tool, you will
117 find it to be fairly picky about token and grammar rule
118 specification. In part, this
119 added formality is meant to catch common programming mistakes made by
120 novice users. However, advanced users will also find such features to
121 be useful when building complicated grammars for real programming
122 languages. It should also be noted that PLY does not provide much in
123 the way of bells and whistles (e.g., automatic construction of
124 abstract syntax trees, tree traversal, etc.). Nor would I consider it
125 to be a parsing framework. Instead, you will find a bare-bones, yet
126 fully capable lex/yacc implementation written entirely in Python.
127
128 <p>
129 The rest of this document assumes that you are somewhat familiar with
130 parsing theory, syntax directed translation, and the use of compiler
131 construction tools such as lex and yacc in other programming
132 languages. If you are unfamiliar with these topics, you will probably
133 want to consult an introductory text such as "Compilers: Principles,
134 Techniques, and Tools", by Aho, Sethi, and Ullman. O'Reilly's "Lex
135 and Yacc" by John Levine may also be handy. In fact, the O'Reilly book can be
136 used as a reference for PLY as the concepts are virtually identical.
137
138 <H2><a name="ply_nn2"></a>3. PLY Overview</H2>
139
140
141 <p>
142 PLY consists of two separate modules; <tt>lex.py</tt> and
143 <tt>yacc.py</tt>, both of which are found in a Python package
144 called <tt>ply</tt>. The <tt>lex.py</tt> module is used to break input text into a
145 collection of tokens specified by a collection of regular expression
146 rules. <tt>yacc.py</tt> is used to recognize language syntax that has
147 been specified in the form of a context free grammar.
148 </p>
149
150 <p>
151 The two tools are meant to work together. Specifically,
152 <tt>lex.py</tt> provides an external interface in the form of a
153 <tt>token()</tt> function that returns the next valid token on the
154 input stream. <tt>yacc.py</tt> calls this repeatedly to retrieve
155 tokens and invoke grammar rules. The output of <tt>yacc.py</tt> is
156 often an Abstract Syntax Tree (AST). However, this is entirely up to
157 the user. If desired, <tt>yacc.py</tt> can also be used to implement
158 simple one-pass compilers.
159
160 <p>
161 Like its Unix counterpart, <tt>yacc.py</tt> provides most of the
162 features you expect including extensive error checking, grammar
163 validation, support for empty productions, error tokens, and ambiguity
164 resolution via precedence rules. In fact, almost everything that is possible in traditional yacc
165 should be supported in PLY.
166
167 <p>
168 The primary difference between
169 <tt>yacc.py</tt> and Unix <tt>yacc</tt> is that <tt>yacc.py</tt>
170 doesn't involve a separate code-generation process.
171 Instead, PLY relies on reflection (introspection)
172 to build its lexers and parsers. Unlike traditional lex/yacc which
173 require a special input file that is converted into a separate source
174 file, the specifications given to PLY <em>are</em> valid Python
175 programs. This means that there are no extra source files nor is
176 there a special compiler construction step (e.g., running yacc to
177 generate Python code for the compiler). Since the generation of the
178 parsing tables is relatively expensive, PLY caches the results and
179 saves them to a file. If no changes are detected in the input source,
180 the tables are read from the cache. Otherwise, they are regenerated.
181
182 <H2><a name="ply_nn3"></a>4. Lex</H2>
183
184
185 <tt>lex.py</tt> is used to tokenize an input string. For example, suppose
186 you're writing a programming language and a user supplied the following input string:
187
188 <blockquote>
189 <pre>
190 x = 3 + 42 * (s - t)
191 </pre>
192 </blockquote>
193
194 A tokenizer splits the string into individual tokens
195
196 <blockquote>
197 <pre>
198 'x','=', '3', '+', '42', '*', '(', 's', '-', 't', ')'
199 </pre>
200 </blockquote>
201
202 Tokens are usually given names to indicate what they are. For example:
203
204 <blockquote>
205 <pre>
206 'ID','EQUALS','NUMBER','PLUS','NUMBER','TIMES',
207 'LPAREN','ID','MINUS','ID','RPAREN'
208 </pre>
209 </blockquote>
210
211 More specifically, the input is broken into pairs of token types and values. For example:
212
213 <blockquote>
214 <pre>
215 ('ID','x'), ('EQUALS','='), ('NUMBER','3'),
216 ('PLUS','+'), ('NUMBER','42), ('TIMES','*'),
217 ('LPAREN','('), ('ID','s'), ('MINUS','-'),
218 ('ID','t'), ('RPAREN',')'
219 </pre>
220 </blockquote>
221
222 The identification of tokens is typically done by writing a series of regular expression
223 rules. The next section shows how this is done using <tt>lex.py</tt>.
224
225 <H3><a name="ply_nn4"></a>4.1 Lex Example</H3>
226
227
228 The following example shows how <tt>lex.py</tt> is used to write a simple tokenizer.
229
230 <blockquote>
231 <pre>
232 # ------------------------------------------------------------
233 # calclex.py
234 #
235 # tokenizer for a simple expression evaluator for
236 # numbers and +,-,*,/
237 # ------------------------------------------------------------
238 import ply.lex as lex
239
240 # List of token names. This is always required
241 tokens = (
242 'NUMBER',
243 'PLUS',
244 'MINUS',
245 'TIMES',
246 'DIVIDE',
247 'LPAREN',
248 'RPAREN',
249 )
250
251 # Regular expression rules for simple tokens
252 t_PLUS = r'\+'
253 t_MINUS = r'-'
254 t_TIMES = r'\*'
255 t_DIVIDE = r'/'
256 t_LPAREN = r'\('
257 t_RPAREN = r'\)'
258
259 # A regular expression rule with some action code
260 def t_NUMBER(t):
261 r'\d+'
262 t.value = int(t.value)
263 return t
264
265 # Define a rule so we can track line numbers
266 def t_newline(t):
267 r'\n+'
268 t.lexer.lineno += len(t.value)
269
270 # A string containing ignored characters (spaces and tabs)
271 t_ignore = ' \t'
272
273 # Error handling rule
274 def t_error(t):
275 print("Illegal character '%s'" % t.value[0])
276 t.lexer.skip(1)
277
278 # Build the lexer
279 lexer = lex.lex()
280
281 </pre>
282 </blockquote>
283 To use the lexer, you first need to feed it some input text using
284 its <tt>input()</tt> method. After that, repeated calls
285 to <tt>token()</tt> produce tokens. The following code shows how this
286 works:
287
288 <blockquote>
289 <pre>
290
291 # Test it out
292 data = '''
293 3 + 4 * 10
294 + -20 *2
295 '''
296
297 # Give the lexer some input
298 lexer.input(data)
299
300 # Tokenize
301 while True:
302 tok = lexer.token()
303 if not tok:
304 break # No more input
305 print(tok)
306 </pre>
307 </blockquote>
308
309 When executed, the example will produce the following output:
310
311 <blockquote>
312 <pre>
313 $ python example.py
314 LexToken(NUMBER,3,2,1)
315 LexToken(PLUS,'+',2,3)
316 LexToken(NUMBER,4,2,5)
317 LexToken(TIMES,'*',2,7)
318 LexToken(NUMBER,10,2,10)
319 LexToken(PLUS,'+',3,14)
320 LexToken(MINUS,'-',3,16)
321 LexToken(NUMBER,20,3,18)
322 LexToken(TIMES,'*',3,20)
323 LexToken(NUMBER,2,3,21)
324 </pre>
325 </blockquote>
326
327 Lexers also support the iteration protocol. So, you can write the above loop as follows:
328
329 <blockquote>
330 <pre>
331 for tok in lexer:
332 print(tok)
333 </pre>
334 </blockquote>
335
336 The tokens returned by <tt>lexer.token()</tt> are instances
337 of <tt>LexToken</tt>. This object has
338 attributes <tt>tok.type</tt>, <tt>tok.value</tt>,
339 <tt>tok.lineno</tt>, and <tt>tok.lexpos</tt>. The following code shows an example of
340 accessing these attributes:
341
342 <blockquote>
343 <pre>
344 # Tokenize
345 while True:
346 tok = lexer.token()
347 if not tok:
348 break # No more input
349 print(tok.type, tok.value, tok.lineno, tok.lexpos)
350 </pre>
351 </blockquote>
352
353 The <tt>tok.type</tt> and <tt>tok.value</tt> attributes contain the
354 type and value of the token itself.
355 <tt>tok.line</tt> and <tt>tok.lexpos</tt> contain information about
356 the location of the token. <tt>tok.lexpos</tt> is the index of the
357 token relative to the start of the input text.
358
359 <H3><a name="ply_nn5"></a>4.2 The tokens list</H3>
360
361
362 <p>
363 All lexers must provide a list <tt>tokens</tt> that defines all of the possible token
364 names that can be produced by the lexer. This list is always required
365 and is used to perform a variety of validation checks. The tokens list is also used by the
366 <tt>yacc.py</tt> module to identify terminals.
367 </p>
368
369 <p>
370 In the example, the following code specified the token names:
371
372 <blockquote>
373 <pre>
374 tokens = (
375 'NUMBER',
376 'PLUS',
377 'MINUS',
378 'TIMES',
379 'DIVIDE',
380 'LPAREN',
381 'RPAREN',
382 )
383 </pre>
384 </blockquote>
385
386 <H3><a name="ply_nn6"></a>4.3 Specification of tokens</H3>
387
388
389 Each token is specified by writing a regular expression rule compatible with Python's <tt>re</tt> module. Each of these rules
390 are defined by making declarations with a special prefix <tt>t_</tt> to indicate that it
391 defines a token. For simple tokens, the regular expression can
392 be specified as strings such as this (note: Python raw strings are used since they are the
393 most convenient way to write regular expression strings):
394
395 <blockquote>
396 <pre>
397 t_PLUS = r'\+'
398 </pre>
399 </blockquote>
400
401 In this case, the name following the <tt>t_</tt> must exactly match one of the
402 names supplied in <tt>tokens</tt>. If some kind of action needs to be performed,
403 a token rule can be specified as a function. For example, this rule matches numbers and
404 converts the string into a Python integer.
405
406 <blockquote>
407 <pre>
408 def t_NUMBER(t):
409 r'\d+'
410 t.value = int(t.value)
411 return t
412 </pre>
413 </blockquote>
414
415 When a function is used, the regular expression rule is specified in the function documentation string.
416 The function always takes a single argument which is an instance of
417 <tt>LexToken</tt>. This object has attributes of <tt>t.type</tt> which is the token type (as a string),
418 <tt>t.value</tt> which is the lexeme (the actual text matched), <tt>t.lineno</tt> which is the current line number, and <tt>t.lexpos</tt> which
419 is the position of the token relative to the beginning of the input text.
420 By default, <tt>t.type</tt> is set to the name following the <tt>t_</tt> prefix. The action
421 function can modify the contents of the <tt>LexToken</tt> object as appropriate. However,
422 when it is done, the resulting token should be returned. If no value is returned by the action
423 function, the token is simply discarded and the next token read.
424
425 <p>
426 Internally, <tt>lex.py</tt> uses the <tt>re</tt> module to do its pattern matching. Patterns are compiled
427 using the <tt>re.VERBOSE</tt> flag which can be used to help readability. However, be aware that unescaped
428 whitespace is ignored and comments are allowed in this mode. If your pattern involves whitespace, make sure you
429 use <tt>\s</tt>. If you need to match the <tt>#</tt> character, use <tt>[#]</tt>.
430 </p>
431
432 <p>
433 When building the master regular expression,
434 rules are added in the following order:
435 </p>
436
437 <p>
438 <ol>
439 <li>All tokens defined by functions are added in the same order as they appear in the lexer file.
440 <li>Tokens defined by strings are added next by sorting them in order of decreasing regular expression length (longer expressions
441 are added first).
442 </ol>
443 <p>
444 Without this ordering, it can be difficult to correctly match certain types of tokens. For example, if you
445 wanted to have separate tokens for "=" and "==", you need to make sure that "==" is checked first. By sorting regular
446 expressions in order of decreasing length, this problem is solved for rules defined as strings. For functions,
447 the order can be explicitly controlled since rules appearing first are checked first.
448
449 <p>
450 To handle reserved words, you should write a single rule to match an
451 identifier and do a special name lookup in a function like this:
452
453 <blockquote>
454 <pre>
455 reserved = {
456 'if' : 'IF',
457 'then' : 'THEN',
458 'else' : 'ELSE',
459 'while' : 'WHILE',
460 ...
461 }
462
463 tokens = ['LPAREN','RPAREN',...,'ID'] + list(reserved.values())
464
465 def t_ID(t):
466 r'[a-zA-Z_][a-zA-Z_0-9]*'
467 t.type = reserved.get(t.value,'ID') # Check for reserved words
468 return t
469 </pre>
470 </blockquote>
471
472 This approach greatly reduces the number of regular expression rules and is likely to make things a little faster.
473
474 <p>
475 <b>Note:</b> You should avoid writing individual rules for reserved words. For example, if you write rules like this,
476
477 <blockquote>
478 <pre>
479 t_FOR = r'for'
480 t_PRINT = r'print'
481 </pre>
482 </blockquote>
483
484 those rules will be triggered for identifiers that include those words as a prefix such as "forget" or "printed". This is probably not
485 what you want.
486
487 <H3><a name="ply_nn7"></a>4.4 Token values</H3>
488
489
490 When tokens are returned by lex, they have a value that is stored in the <tt>value</tt> attribute. Normally, the value is the text
491 that was matched. However, the value can be assigned to any Python object. For instance, when lexing identifiers, you may
492 want to return both the identifier name and information from some sort of symbol table. To do this, you might write a rule like this:
493
494 <blockquote>
495 <pre>
496 def t_ID(t):
497 ...
498 # Look up symbol table information and return a tuple
499 t.value = (t.value, symbol_lookup(t.value))
500 ...
501 return t
502 </pre>
503 </blockquote>
504
505 It is important to note that storing data in other attribute names is <em>not</em> recommended. The <tt>yacc.py</tt> module only exposes the
506 contents of the <tt>value</tt> attribute. Thus, accessing other attributes may be unnecessarily awkward. If you
507 need to store multiple values on a token, assign a tuple, dictionary, or instance to <tt>value</tt>.
508
509 <H3><a name="ply_nn8"></a>4.5 Discarded tokens</H3>
510
511
512 To discard a token, such as a comment, simply define a token rule that returns no value. For example:
513
514 <blockquote>
515 <pre>
516 def t_COMMENT(t):
517 r'\#.*'
518 pass
519 # No return value. Token discarded
520 </pre>
521 </blockquote>
522
523 Alternatively, you can include the prefix "ignore_" in the token declaration to force a token to be ignored. For example:
524
525 <blockquote>
526 <pre>
527 t_ignore_COMMENT = r'\#.*'
528 </pre>
529 </blockquote>
530
531 Be advised that if you are ignoring many different kinds of text, you may still want to use functions since these provide more precise
532 control over the order in which regular expressions are matched (i.e., functions are matched in order of specification whereas strings are
533 sorted by regular expression length).
534
535 <H3><a name="ply_nn9"></a>4.6 Line numbers and positional information</H3>
536
537
538 <p>By default, <tt>lex.py</tt> knows nothing about line numbers. This is because <tt>lex.py</tt> doesn't know anything
539 about what constitutes a "line" of input (e.g., the newline character or even if the input is textual data).
540 To update this information, you need to write a special rule. In the example, the <tt>t_newline()</tt> rule shows how to do this.
541
542 <blockquote>
543 <pre>
544 # Define a rule so we can track line numbers
545 def t_newline(t):
546 r'\n+'
547 t.lexer.lineno += len(t.value)
548 </pre>
549 </blockquote>
550 Within the rule, the <tt>lineno</tt> attribute of the underlying lexer <tt>t.lexer</tt> is updated.
551 After the line number is updated, the token is simply discarded since nothing is returned.
552
553 <p>
554 <tt>lex.py</tt> does not perform and kind of automatic column tracking. However, it does record positional
555 information related to each token in the <tt>lexpos</tt> attribute. Using this, it is usually possible to compute
556 column information as a separate step. For instance, just count backwards until you reach a newline.
557
558 <blockquote>
559 <pre>
560 # Compute column.
561 # input is the input text string
562 # token is a token instance
563 def find_column(input,token):
564 last_cr = input.rfind('\n',0,token.lexpos)
565 if last_cr < 0:
566 last_cr = 0
567 column = (token.lexpos - last_cr) + 1
568 return column
569 </pre>
570 </blockquote>
571
572 Since column information is often only useful in the context of error handling, calculating the column
573 position can be performed when needed as opposed to doing it for each token.
574
575 <H3><a name="ply_nn10"></a>4.7 Ignored characters</H3>
576
577
578 <p>
579 The special <tt>t_ignore</tt> rule is reserved by <tt>lex.py</tt> for characters
580 that should be completely ignored in the input stream.
581 Usually this is used to skip over whitespace and other non-essential characters.
582 Although it is possible to define a regular expression rule for whitespace in a manner
583 similar to <tt>t_newline()</tt>, the use of <tt>t_ignore</tt> provides substantially better
584 lexing performance because it is handled as a special case and is checked in a much
585 more efficient manner than the normal regular expression rules.
586 </p>
587
588 <p>
589 The characters given in <tt>t_ignore</tt> are not ignored when such characters are part of
590 other regular expression patterns. For example, if you had a rule to capture quoted text,
591 that pattern can include the ignored characters (which will be captured in the normal way). The
592 main purpose of <tt>t_ignore</tt> is to ignore whitespace and other padding between the
593 tokens that you actually want to parse.
594 </p>
595
596 <H3><a name="ply_nn11"></a>4.8 Literal characters</H3>
597
598
599 <p>
600 Literal characters can be specified by defining a variable <tt>literals</tt> in your lexing module. For example:
601
602 <blockquote>
603 <pre>
604 literals = [ '+','-','*','/' ]
605 </pre>
606 </blockquote>
607
608 or alternatively
609
610 <blockquote>
611 <pre>
612 literals = "+-*/"
613 </pre>
614 </blockquote>
615
616 A literal character is simply a single character that is returned "as is" when encountered by the lexer. Literals are checked
617 after all of the defined regular expression rules. Thus, if a rule starts with one of the literal characters, it will always
618 take precedence.
619
620 <p>
621 When a literal token is returned, both its <tt>type</tt> and <tt>value</tt> attributes are set to the character itself. For example, <tt>'+'</tt>.
622 </p>
623
624 <p>
625 It's possible to write token functions that perform additional actions
626 when literals are matched. However, you'll need to set the token type
627 appropriately. For example:
628 </p>
629
630 <blockquote>
631 <pre>
632 literals = [ '{', '}' ]
633
634 def t_lbrace(t):
635 r'\{'
636 t.type = '{' # Set token type to the expected literal
637 return t
638
639 def t_rbrace(t):
640 r'\}'
641 t.type = '}' # Set token type to the expected literal
642 return t
643 </pre>
644 </blockquote>
645
646 <H3><a name="ply_nn12"></a>4.9 Error handling</H3>
647
648
649 <p>
650 The <tt>t_error()</tt>
651 function is used to handle lexing errors that occur when illegal
652 characters are detected. In this case, the <tt>t.value</tt> attribute contains the
653 rest of the input string that has not been tokenized. In the example, the error function
654 was defined as follows:
655
656 <blockquote>
657 <pre>
658 # Error handling rule
659 def t_error(t):
660 print("Illegal character '%s'" % t.value[0])
661 t.lexer.skip(1)
662 </pre>
663 </blockquote>
664
665 In this case, we simply print the offending character and skip ahead one character by calling <tt>t.lexer.skip(1)</tt>.
666
667 <H3><a name="ply_nn14"></a>4.10 EOF Handling</H3>
668
669
670 <p>
671 The <tt>t_eof()</tt> function is used to handle an end-of-file (EOF) condition in the input. As input, it
672 receives a token type <tt>'eof'</tt> with the <tt>lineno</tt> and <tt>lexpos</tt> attributes set appropriately.
673 The main use of this function is provide more input to the lexer so that it can continue to parse. Here is an
674 example of how this works:
675 </p>
676
677 <blockquote>
678 <pre>
679 # EOF handling rule
680 def t_eof(t):
681 # Get more input (Example)
682 more = raw_input('... ')
683 if more:
684 self.lexer.input(more)
685 return self.lexer.token()
686 return None
687 </pre>
688 </blockquote>
689
690 <p>
691 The EOF function should return the next available token (by calling <tt>self.lexer.token())</tt> or <tt>None</tt> to
692 indicate no more data. Be aware that setting more input with the <tt>self.lexer.input()</tt> method does
693 NOT reset the lexer state or the <tt>lineno</tt> attribute used for position tracking. The <tt>lexpos</tt>
694 attribute is reset so be aware of that if you're using it in error reporting.
695 </p>
696
697 <H3><a name="ply_nn13"></a>4.11 Building and using the lexer</H3>
698
699
700 <p>
701 To build the lexer, the function <tt>lex.lex()</tt> is used. For example:</p>
702
703 <blockquote>
704 <pre>
705 lexer = lex.lex()
706 </pre>
707 </blockquote>
708
709 <p>This function
710 uses Python reflection (or introspection) to read the regular expression rules
711 out of the calling context and build the lexer. Once the lexer has been built, two methods can
712 be used to control the lexer.
713 </p>
714 <ul>
715 <li><tt>lexer.input(data)</tt>. Reset the lexer and store a new input string.
716 <li><tt>lexer.token()</tt>. Return the next token. Returns a special <tt>LexToken</tt> instance on success or
717 None if the end of the input text has been reached.
718 </ul>
719
720 <H3><a name="ply_nn14"></a>4.12 The @TOKEN decorator</H3>
721
722
723 In some applications, you may want to define build tokens from as a series of
724 more complex regular expression rules. For example:
725
726 <blockquote>
727 <pre>
728 digit = r'([0-9])'
729 nondigit = r'([_A-Za-z])'
730 identifier = r'(' + nondigit + r'(' + digit + r'|' + nondigit + r')*)'
731
732 def t_ID(t):
733 # want docstring to be identifier above. ?????
734 ...
735 </pre>
736 </blockquote>
737
738 In this case, we want the regular expression rule for <tt>ID</tt> to be one of the variables above. However, there is no
739 way to directly specify this using a normal documentation string. To solve this problem, you can use the <tt>@TOKEN</tt>
740 decorator. For example:
741
742 <blockquote>
743 <pre>
744 from ply.lex import TOKEN
745
746 @TOKEN(identifier)
747 def t_ID(t):
748 ...
749 </pre>
750 </blockquote>
751
752 <p>
753 This will attach <tt>identifier</tt> to the docstring for <tt>t_ID()</tt> allowing <tt>lex.py</tt> to work normally.
754 </p>
755
756 <H3><a name="ply_nn15"></a>4.13 Optimized mode</H3>
757
758
759 For improved performance, it may be desirable to use Python's
760 optimized mode (e.g., running Python with the <tt>-O</tt>
761 option). However, doing so causes Python to ignore documentation
762 strings. This presents special problems for <tt>lex.py</tt>. To
763 handle this case, you can create your lexer using
764 the <tt>optimize</tt> option as follows:
765
766 <blockquote>
767 <pre>
768 lexer = lex.lex(optimize=1)
769 </pre>
770 </blockquote>
771
772 Next, run Python in its normal operating mode. When you do
773 this, <tt>lex.py</tt> will write a file called <tt>lextab.py</tt> in
774 the same directory as the module containing the lexer specification.
775 This file contains all of the regular
776 expression rules and tables used during lexing. On subsequent
777 executions,
778 <tt>lextab.py</tt> will simply be imported to build the lexer. This
779 approach substantially improves the startup time of the lexer and it
780 works in Python's optimized mode.
781
782 <p>
783 To change the name of the lexer-generated module, use the <tt>lextab</tt> keyword argument. For example:
784 </p>
785
786 <blockquote>
787 <pre>
788 lexer = lex.lex(optimize=1,lextab="footab")
789 </pre>
790 </blockquote>
791
792 When running in optimized mode, it is important to note that lex disables most error checking. Thus, this is really only recommended
793 if you're sure everything is working correctly and you're ready to start releasing production code.
794
795 <H3><a name="ply_nn16"></a>4.14 Debugging</H3>
796
797
798 For the purpose of debugging, you can run <tt>lex()</tt> in a debugging mode as follows:
799
800 <blockquote>
801 <pre>
802 lexer = lex.lex(debug=1)
803 </pre>
804 </blockquote>
805
806 <p>
807 This will produce various sorts of debugging information including all of the added rules,
808 the master regular expressions used by the lexer, and tokens generating during lexing.
809 </p>
810
811 <p>
812 In addition, <tt>lex.py</tt> comes with a simple main function which
813 will either tokenize input read from standard input or from a file specified
814 on the command line. To use it, simply put this in your lexer:
815 </p>
816
817 <blockquote>
818 <pre>
819 if __name__ == '__main__':
820 lex.runmain()
821 </pre>
822 </blockquote>
823
824 Please refer to the "Debugging" section near the end for some more advanced details
825 of debugging.
826
827 <H3><a name="ply_nn17"></a>4.15 Alternative specification of lexers</H3>
828
829
830 As shown in the example, lexers are specified all within one Python module. If you want to
831 put token rules in a different module from the one in which you invoke <tt>lex()</tt>, use the
832 <tt>module</tt> keyword argument.
833
834 <p>
835 For example, you might have a dedicated module that just contains
836 the token rules:
837
838 <blockquote>
839 <pre>
840 # module: tokrules.py
841 # This module just contains the lexing rules
842
843 # List of token names. This is always required
844 tokens = (
845 'NUMBER',
846 'PLUS',
847 'MINUS',
848 'TIMES',
849 'DIVIDE',
850 'LPAREN',
851 'RPAREN',
852 )
853
854 # Regular expression rules for simple tokens
855 t_PLUS = r'\+'
856 t_MINUS = r'-'
857 t_TIMES = r'\*'
858 t_DIVIDE = r'/'
859 t_LPAREN = r'\('
860 t_RPAREN = r'\)'
861
862 # A regular expression rule with some action code
863 def t_NUMBER(t):
864 r'\d+'
865 t.value = int(t.value)
866 return t
867
868 # Define a rule so we can track line numbers
869 def t_newline(t):
870 r'\n+'
871 t.lexer.lineno += len(t.value)
872
873 # A string containing ignored characters (spaces and tabs)
874 t_ignore = ' \t'
875
876 # Error handling rule
877 def t_error(t):
878 print("Illegal character '%s'" % t.value[0])
879 t.lexer.skip(1)
880 </pre>
881 </blockquote>
882
883 Now, if you wanted to build a tokenizer from these rules from within a different module, you would do the following (shown for Python interactive mode):
884
885 <blockquote>
886 <pre>
887 >>> import tokrules
888 >>> <b>lexer = lex.lex(module=tokrules)</b>
889 >>> lexer.input("3 + 4")
890 >>> lexer.token()
891 LexToken(NUMBER,3,1,1,0)
892 >>> lexer.token()
893 LexToken(PLUS,'+',1,2)
894 >>> lexer.token()
895 LexToken(NUMBER,4,1,4)
896 >>> lexer.token()
897 None
898 >>>
899 </pre>
900 </blockquote>
901
902 The <tt>module</tt> option can also be used to define lexers from instances of a class. For example:
903
904 <blockquote>
905 <pre>
906 import ply.lex as lex
907
908 class MyLexer(object):
909 # List of token names. This is always required
910 tokens = (
911 'NUMBER',
912 'PLUS',
913 'MINUS',
914 'TIMES',
915 'DIVIDE',
916 'LPAREN',
917 'RPAREN',
918 )
919
920 # Regular expression rules for simple tokens
921 t_PLUS = r'\+'
922 t_MINUS = r'-'
923 t_TIMES = r'\*'
924 t_DIVIDE = r'/'
925 t_LPAREN = r'\('
926 t_RPAREN = r'\)'
927
928 # A regular expression rule with some action code
929 # Note addition of self parameter since we're in a class
930 def t_NUMBER(self,t):
931 r'\d+'
932 t.value = int(t.value)
933 return t
934
935 # Define a rule so we can track line numbers
936 def t_newline(self,t):
937 r'\n+'
938 t.lexer.lineno += len(t.value)
939
940 # A string containing ignored characters (spaces and tabs)
941 t_ignore = ' \t'
942
943 # Error handling rule
944 def t_error(self,t):
945 print("Illegal character '%s'" % t.value[0])
946 t.lexer.skip(1)
947
948 <b># Build the lexer
949 def build(self,**kwargs):
950 self.lexer = lex.lex(module=self, **kwargs)</b>
951
952 # Test it output
953 def test(self,data):
954 self.lexer.input(data)
955 while True:
956 tok = self.lexer.token()
957 if not tok:
958 break
959 print(tok)
960
961 # Build the lexer and try it out
962 m = MyLexer()
963 m.build() # Build the lexer
964 m.test("3 + 4") # Test it
965 </pre>
966 </blockquote>
967
968
969 When building a lexer from class, <em>you should construct the lexer from
970 an instance of the class</em>, not the class object itself. This is because
971 PLY only works properly if the lexer actions are defined by bound-methods.
972
973 <p>
974 When using the <tt>module</tt> option to <tt>lex()</tt>, PLY collects symbols
975 from the underlying object using the <tt>dir()</tt> function. There is no
976 direct access to the <tt>__dict__</tt> attribute of the object supplied as a
977 module value. </p>
978
979 <P>
980 Finally, if you want to keep things nicely encapsulated, but don't want to use a
981 full-fledged class definition, lexers can be defined using closures. For example:
982
983 <blockquote>
984 <pre>
985 import ply.lex as lex
986
987 # List of token names. This is always required
988 tokens = (
989 'NUMBER',
990 'PLUS',
991 'MINUS',
992 'TIMES',
993 'DIVIDE',
994 'LPAREN',
995 'RPAREN',
996 )
997
998 def MyLexer():
999 # Regular expression rules for simple tokens
1000 t_PLUS = r'\+'
1001 t_MINUS = r'-'
1002 t_TIMES = r'\*'
1003 t_DIVIDE = r'/'
1004 t_LPAREN = r'\('
1005 t_RPAREN = r'\)'
1006
1007 # A regular expression rule with some action code
1008 def t_NUMBER(t):
1009 r'\d+'
1010 t.value = int(t.value)
1011 return t
1012
1013 # Define a rule so we can track line numbers
1014 def t_newline(t):
1015 r'\n+'
1016 t.lexer.lineno += len(t.value)
1017
1018 # A string containing ignored characters (spaces and tabs)
1019 t_ignore = ' \t'
1020
1021 # Error handling rule
1022 def t_error(t):
1023 print("Illegal character '%s'" % t.value[0])
1024 t.lexer.skip(1)
1025
1026 # Build the lexer from my environment and return it
1027 return lex.lex()
1028 </pre>
1029 </blockquote>
1030
1031 <p>
1032 <b>Important note:</b> If you are defining a lexer using a class or closure, be aware that PLY still requires you to only
1033 define a single lexer per module (source file). There are extensive validation/error checking parts of the PLY that
1034 may falsely report error messages if you don't follow this rule.
1035 </p>
1036
1037 <H3><a name="ply_nn18"></a>4.16 Maintaining state</H3>
1038
1039
1040 In your lexer, you may want to maintain a variety of state
1041 information. This might include mode settings, symbol tables, and
1042 other details. As an example, suppose that you wanted to keep
1043 track of how many NUMBER tokens had been encountered.
1044
1045 <p>
1046 One way to do this is to keep a set of global variables in the module
1047 where you created the lexer. For example:
1048
1049 <blockquote>
1050 <pre>
1051 num_count = 0
1052 def t_NUMBER(t):
1053 r'\d+'
1054 global num_count
1055 num_count += 1
1056 t.value = int(t.value)
1057 return t
1058 </pre>
1059 </blockquote>
1060
1061 If you don't like the use of a global variable, another place to store
1062 information is inside the Lexer object created by <tt>lex()</tt>.
1063 To this, you can use the <tt>lexer</tt> attribute of tokens passed to
1064 the various rules. For example:
1065
1066 <blockquote>
1067 <pre>
1068 def t_NUMBER(t):
1069 r'\d+'
1070 t.lexer.num_count += 1 # Note use of lexer attribute
1071 t.value = int(t.value)
1072 return t
1073
1074 lexer = lex.lex()
1075 lexer.num_count = 0 # Set the initial count
1076 </pre>
1077 </blockquote>
1078
1079 This latter approach has the advantage of being simple and working
1080 correctly in applications where multiple instantiations of a given
1081 lexer exist in the same application. However, this might also feel
1082 like a gross violation of encapsulation to OO purists.
1083 Just to put your mind at some ease, all
1084 internal attributes of the lexer (with the exception of <tt>lineno</tt>) have names that are prefixed
1085 by <tt>lex</tt> (e.g., <tt>lexdata</tt>,<tt>lexpos</tt>, etc.). Thus,
1086 it is perfectly safe to store attributes in the lexer that
1087 don't have names starting with that prefix or a name that conflicts with one of the
1088 predefined methods (e.g., <tt>input()</tt>, <tt>token()</tt>, etc.).
1089
1090 <p>
1091 If you don't like assigning values on the lexer object, you can define your lexer as a class as
1092 shown in the previous section:
1093
1094 <blockquote>
1095 <pre>
1096 class MyLexer:
1097 ...
1098 def t_NUMBER(self,t):
1099 r'\d+'
1100 self.num_count += 1
1101 t.value = int(t.value)
1102 return t
1103
1104 def build(self, **kwargs):
1105 self.lexer = lex.lex(object=self,**kwargs)
1106
1107 def __init__(self):
1108 self.num_count = 0
1109 </pre>
1110 </blockquote>
1111
1112 The class approach may be the easiest to manage if your application is
1113 going to be creating multiple instances of the same lexer and you need
1114 to manage a lot of state.
1115
1116 <p>
1117 State can also be managed through closures. For example, in Python 3:
1118
1119 <blockquote>
1120 <pre>
1121 def MyLexer():
1122 num_count = 0
1123 ...
1124 def t_NUMBER(t):
1125 r'\d+'
1126 nonlocal num_count
1127 num_count += 1
1128 t.value = int(t.value)
1129 return t
1130 ...
1131 </pre>
1132 </blockquote>
1133
1134 <H3><a name="ply_nn19"></a>4.17 Lexer cloning</H3>
1135
1136
1137 <p>
1138 If necessary, a lexer object can be duplicated by invoking its <tt>clone()</tt> method. For example:
1139
1140 <blockquote>
1141 <pre>
1142 lexer = lex.lex()
1143 ...
1144 newlexer = lexer.clone()
1145 </pre>
1146 </blockquote>
1147
1148 When a lexer is cloned, the copy is exactly identical to the original lexer
1149 including any input text and internal state. However, the clone allows a
1150 different set of input text to be supplied which may be processed separately.
1151 This may be useful in situations when you are writing a parser/compiler that
1152 involves recursive or reentrant processing. For instance, if you
1153 needed to scan ahead in the input for some reason, you could create a
1154 clone and use it to look ahead. Or, if you were implementing some kind of preprocessor,
1155 cloned lexers could be used to handle different input files.
1156
1157 <p>
1158 Creating a clone is different than calling <tt>lex.lex()</tt> in that
1159 PLY doesn't regenerate any of the internal tables or regular expressions.
1160
1161 <p>
1162 Special considerations need to be made when cloning lexers that also
1163 maintain their own internal state using classes or closures. Namely,
1164 you need to be aware that the newly created lexers will share all of
1165 this state with the original lexer. For example, if you defined a
1166 lexer as a class and did this:
1167
1168 <blockquote>
1169 <pre>
1170 m = MyLexer()
1171 a = lex.lex(object=m) # Create a lexer
1172
1173 b = a.clone() # Clone the lexer
1174 </pre>
1175 </blockquote>
1176
1177 Then both <tt>a</tt> and <tt>b</tt> are going to be bound to the same
1178 object <tt>m</tt> and any changes to <tt>m</tt> will be reflected in both lexers. It's
1179 important to emphasize that <tt>clone()</tt> is only meant to create a new lexer
1180 that reuses the regular expressions and environment of another lexer. If you
1181 need to make a totally new copy of a lexer, then call <tt>lex()</tt> again.
1182
1183 <H3><a name="ply_nn20"></a>4.18 Internal lexer state</H3>
1184
1185
1186 A Lexer object <tt>lexer</tt> has a number of internal attributes that may be useful in certain
1187 situations.
1188
1189 <p>
1190 <tt>lexer.lexpos</tt>
1191 <blockquote>
1192 This attribute is an integer that contains the current position within the input text. If you modify
1193 the value, it will change the result of the next call to <tt>token()</tt>. Within token rule functions, this points
1194 to the first character <em>after</em> the matched text. If the value is modified within a rule, the next returned token will be
1195 matched at the new position.
1196 </blockquote>
1197
1198 <p>
1199 <tt>lexer.lineno</tt>
1200 <blockquote>
1201 The current value of the line number attribute stored in the lexer. PLY only specifies that the attribute
1202 exists---it never sets, updates, or performs any processing with it. If you want to track line numbers,
1203 you will need to add code yourself (see the section on line numbers and positional information).
1204 </blockquote>
1205
1206 <p>
1207 <tt>lexer.lexdata</tt>
1208 <blockquote>
1209 The current input text stored in the lexer. This is the string passed with the <tt>input()</tt> method. It
1210 would probably be a bad idea to modify this unless you really know what you're doing.
1211 </blockquote>
1212
1213 <P>
1214 <tt>lexer.lexmatch</tt>
1215 <blockquote>
1216 This is the raw <tt>Match</tt> object returned by the Python <tt>re.match()</tt> function (used internally by PLY) for the
1217 current token. If you have written a regular expression that contains named groups, you can use this to retrieve those values.
1218 Note: This attribute is only updated when tokens are defined and processed by functions.
1219 </blockquote>
1220
1221 <H3><a name="ply_nn21"></a>4.19 Conditional lexing and start conditions</H3>
1222
1223
1224 In advanced parsing applications, it may be useful to have different
1225 lexing states. For instance, you may want the occurrence of a certain
1226 token or syntactic construct to trigger a different kind of lexing.
1227 PLY supports a feature that allows the underlying lexer to be put into
1228 a series of different states. Each state can have its own tokens,
1229 lexing rules, and so forth. The implementation is based largely on
1230 the "start condition" feature of GNU flex. Details of this can be found
1231 at <a
1232 href="http://flex.sourceforge.net/manual/Start-Conditions.html">http://flex.sourceforge.net/manual/Start-Conditions.html</a>.
1233
1234 <p>
1235 To define a new lexing state, it must first be declared. This is done by including a "states" declaration in your
1236 lex file. For example:
1237
1238 <blockquote>
1239 <pre>
1240 states = (
1241 ('foo','exclusive'),
1242 ('bar','inclusive'),
1243 )
1244 </pre>
1245 </blockquote>
1246
1247 This declaration declares two states, <tt>'foo'</tt>
1248 and <tt>'bar'</tt>. States may be of two types; <tt>'exclusive'</tt>
1249 and <tt>'inclusive'</tt>. An exclusive state completely overrides the
1250 default behavior of the lexer. That is, lex will only return tokens
1251 and apply rules defined specifically for that state. An inclusive
1252 state adds additional tokens and rules to the default set of rules.
1253 Thus, lex will return both the tokens defined by default in addition
1254 to those defined for the inclusive state.
1255
1256 <p>
1257 Once a state has been declared, tokens and rules are declared by including the
1258 state name in token/rule declaration. For example:
1259
1260 <blockquote>
1261 <pre>
1262 t_foo_NUMBER = r'\d+' # Token 'NUMBER' in state 'foo'
1263 t_bar_ID = r'[a-zA-Z_][a-zA-Z0-9_]*' # Token 'ID' in state 'bar'
1264
1265 def t_foo_newline(t):
1266 r'\n'
1267 t.lexer.lineno += 1
1268 </pre>
1269 </blockquote>
1270
1271 A token can be declared in multiple states by including multiple state names in the declaration. For example:
1272
1273 <blockquote>
1274 <pre>
1275 t_foo_bar_NUMBER = r'\d+' # Defines token 'NUMBER' in both state 'foo' and 'bar'
1276 </pre>
1277 </blockquote>
1278
1279 Alternative, a token can be declared in all states using the 'ANY' in the name.
1280
1281 <blockquote>
1282 <pre>
1283 t_ANY_NUMBER = r'\d+' # Defines a token 'NUMBER' in all states
1284 </pre>
1285 </blockquote>
1286
1287 If no state name is supplied, as is normally the case, the token is associated with a special state <tt>'INITIAL'</tt>. For example,
1288 these two declarations are identical:
1289
1290 <blockquote>
1291 <pre>
1292 t_NUMBER = r'\d+'
1293 t_INITIAL_NUMBER = r'\d+'
1294 </pre>
1295 </blockquote>
1296
1297 <p>
1298 States are also associated with the special <tt>t_ignore</tt>, <tt>t_error()</tt>, and <tt>t_eof()</tt> declarations. For example, if a state treats
1299 these differently, you can declare:</p>
1300
1301 <blockquote>
1302 <pre>
1303 t_foo_ignore = " \t\n" # Ignored characters for state 'foo'
1304
1305 def t_bar_error(t): # Special error handler for state 'bar'
1306 pass
1307 </pre>
1308 </blockquote>
1309
1310 By default, lexing operates in the <tt>'INITIAL'</tt> state. This state includes all of the normally defined tokens.
1311 For users who aren't using different states, this fact is completely transparent. If, during lexing or parsing, you want to change
1312 the lexing state, use the <tt>begin()</tt> method. For example:
1313
1314 <blockquote>
1315 <pre>
1316 def t_begin_foo(t):
1317 r'start_foo'
1318 t.lexer.begin('foo') # Starts 'foo' state
1319 </pre>
1320 </blockquote>
1321
1322 To get out of a state, you use <tt>begin()</tt> to switch back to the initial state. For example:
1323
1324 <blockquote>
1325 <pre>
1326 def t_foo_end(t):
1327 r'end_foo'
1328 t.lexer.begin('INITIAL') # Back to the initial state
1329 </pre>
1330 </blockquote>
1331
1332 The management of states can also be done with a stack. For example:
1333
1334 <blockquote>
1335 <pre>
1336 def t_begin_foo(t):
1337 r'start_foo'
1338 t.lexer.push_state('foo') # Starts 'foo' state
1339
1340 def t_foo_end(t):
1341 r'end_foo'
1342 t.lexer.pop_state() # Back to the previous state
1343 </pre>
1344 </blockquote>
1345
1346 <p>
1347 The use of a stack would be useful in situations where there are many ways of entering a new lexing state and you merely want to go back
1348 to the previous state afterwards.
1349
1350 <P>
1351 An example might help clarify. Suppose you were writing a parser and you wanted to grab sections of arbitrary C code enclosed by
1352 curly braces. That is, whenever you encounter a starting brace '{', you want to read all of the enclosed code up to the ending brace '}'
1353 and return it as a string. Doing this with a normal regular expression rule is nearly (if not actually) impossible. This is because braces can
1354 be nested and can be included in comments and strings. Thus, simply matching up to the first matching '}' character isn't good enough. Here is how
1355 you might use lexer states to do this:
1356
1357 <blockquote>
1358 <pre>
1359 # Declare the state
1360 states = (
1361 ('ccode','exclusive'),
1362 )
1363
1364 # Match the first {. Enter ccode state.
1365 def t_ccode(t):
1366 r'\{'
1367 t.lexer.code_start = t.lexer.lexpos # Record the starting position
1368 t.lexer.level = 1 # Initial brace level
1369 t.lexer.begin('ccode') # Enter 'ccode' state
1370
1371 # Rules for the ccode state
1372 def t_ccode_lbrace(t):
1373 r'\{'
1374 t.lexer.level +=1
1375
1376 def t_ccode_rbrace(t):
1377 r'\}'
1378 t.lexer.level -=1
1379
1380 # If closing brace, return the code fragment
1381 if t.lexer.level == 0:
1382 t.value = t.lexer.lexdata[t.lexer.code_start:t.lexer.lexpos+1]
1383 t.type = "CCODE"
1384 t.lexer.lineno += t.value.count('\n')
1385 t.lexer.begin('INITIAL')
1386 return t
1387
1388 # C or C++ comment (ignore)
1389 def t_ccode_comment(t):
1390 r'(/\*(.|\n)*?\*/)|(//.*)'
1391 pass
1392
1393 # C string
1394 def t_ccode_string(t):
1395 r'\"([^\\\n]|(\\.))*?\"'
1396
1397 # C character literal
1398 def t_ccode_char(t):
1399 r'\'([^\\\n]|(\\.))*?\''
1400
1401 # Any sequence of non-whitespace characters (not braces, strings)
1402 def t_ccode_nonspace(t):
1403 r'[^\s\{\}\'\"]+'
1404
1405 # Ignored characters (whitespace)
1406 t_ccode_ignore = " \t\n"
1407
1408 # For bad characters, we just skip over it
1409 def t_ccode_error(t):
1410 t.lexer.skip(1)
1411 </pre>
1412 </blockquote>
1413
1414 In this example, the occurrence of the first '{' causes the lexer to record the starting position and enter a new state <tt>'ccode'</tt>. A collection of rules then match
1415 various parts of the input that follow (comments, strings, etc.). All of these rules merely discard the token (by not returning a value).
1416 However, if the closing right brace is encountered, the rule <tt>t_ccode_rbrace</tt> collects all of the code (using the earlier recorded starting
1417 position), stores it, and returns a token 'CCODE' containing all of that text. When returning the token, the lexing state is restored back to its
1418 initial state.
1419
1420 <H3><a name="ply_nn21"></a>4.20 Miscellaneous Issues</H3>
1421
1422
1423 <P>
1424 <li>The lexer requires input to be supplied as a single input string. Since most machines have more than enough memory, this
1425 rarely presents a performance concern. However, it means that the lexer currently can't be used with streaming data
1426 such as open files or sockets. This limitation is primarily a side-effect of using the <tt>re</tt> module. You might be
1427 able to work around this by implementing an appropriate <tt>def t_eof()</tt> end-of-file handling rule. The main complication
1428 here is that you'll probably need to ensure that data is fed to the lexer in a way so that it doesn't split in in the middle
1429 of a token.</p>
1430
1431 <p>
1432 <li>The lexer should work properly with both Unicode strings given as token and pattern matching rules as
1433 well as for input text.
1434
1435 <p>
1436 <li>If you need to supply optional flags to the re.compile() function, use the reflags option to lex. For example:
1437
1438 <blockquote>
1439 <pre>
1440 lex.lex(reflags=re.UNICODE)
1441 </pre>
1442 </blockquote>
1443
1444 <p>
1445 <li>Since the lexer is written entirely in Python, its performance is
1446 largely determined by that of the Python <tt>re</tt> module. Although
1447 the lexer has been written to be as efficient as possible, it's not
1448 blazingly fast when used on very large input files. If
1449 performance is concern, you might consider upgrading to the most
1450 recent version of Python, creating a hand-written lexer, or offloading
1451 the lexer into a C extension module.
1452
1453 <p>
1454 If you are going to create a hand-written lexer and you plan to use it with <tt>yacc.py</tt>,
1455 it only needs to conform to the following requirements:
1456
1457 <ul>
1458 <li>It must provide a <tt>token()</tt> method that returns the next token or <tt>None</tt> if no more
1459 tokens are available.
1460 <li>The <tt>token()</tt> method must return an object <tt>tok</tt> that has <tt>type</tt> and <tt>value</tt> attributes. If
1461 line number tracking is being used, then the token should also define a <tt>lineno</tt> attribute.
1462 </ul>
1463
1464 <H2><a name="ply_nn22"></a>5. Parsing basics</H2>
1465
1466
1467 <tt>yacc.py</tt> is used to parse language syntax. Before showing an
1468 example, there are a few important bits of background that must be
1469 mentioned. First, <em>syntax</em> is usually specified in terms of a BNF grammar.
1470 For example, if you wanted to parse
1471 simple arithmetic expressions, you might first write an unambiguous
1472 grammar specification like this:
1473
1474 <blockquote>
1475 <pre>
1476 expression : expression + term
1477 | expression - term
1478 | term
1479
1480 term : term * factor
1481 | term / factor
1482 | factor
1483
1484 factor : NUMBER
1485 | ( expression )
1486 </pre>
1487 </blockquote>
1488
1489 In the grammar, symbols such as <tt>NUMBER</tt>, <tt>+</tt>, <tt>-</tt>, <tt>*</tt>, and <tt>/</tt> are known
1490 as <em>terminals</em> and correspond to raw input tokens. Identifiers such as <tt>term</tt> and <tt>factor</tt> refer to
1491 grammar rules comprised of a collection of terminals and other rules. These identifiers are known as <em>non-terminals</em>.
1492 <P>
1493
1494 The semantic behavior of a language is often specified using a
1495 technique known as syntax directed translation. In syntax directed
1496 translation, attributes are attached to each symbol in a given grammar
1497 rule along with an action. Whenever a particular grammar rule is
1498 recognized, the action describes what to do. For example, given the
1499 expression grammar above, you might write the specification for a
1500 simple calculator like this:
1501
1502 <blockquote>
1503 <pre>
1504 Grammar Action
1505 -------------------------------- --------------------------------------------
1506 expression0 : expression1 + term expression0.val = expression1.val + term.val
1507 | expression1 - term expression0.val = expression1.val - term.val
1508 | term expression0.val = term.val
1509
1510 term0 : term1 * factor term0.val = term1.val * factor.val
1511 | term1 / factor term0.val = term1.val / factor.val
1512 | factor term0.val = factor.val
1513
1514 factor : NUMBER factor.val = int(NUMBER.lexval)
1515 | ( expression ) factor.val = expression.val
1516 </pre>
1517 </blockquote>
1518
1519 A good way to think about syntax directed translation is to
1520 view each symbol in the grammar as a kind of object. Associated
1521 with each symbol is a value representing its "state" (for example, the
1522 <tt>val</tt> attribute above). Semantic
1523 actions are then expressed as a collection of functions or methods
1524 that operate on the symbols and associated values.
1525
1526 <p>
1527 Yacc uses a parsing technique known as LR-parsing or shift-reduce parsing. LR parsing is a
1528 bottom up technique that tries to recognize the right-hand-side of various grammar rules.
1529 Whenever a valid right-hand-side is found in the input, the appropriate action code is triggered and the
1530 grammar symbols are replaced by the grammar symbol on the left-hand-side.
1531
1532 <p>
1533 LR parsing is commonly implemented by shifting grammar symbols onto a
1534 stack and looking at the stack and the next input token for patterns that
1535 match one of the grammar rules.
1536 The details of the algorithm can be found in a compiler textbook, but the
1537 following example illustrates the steps that are performed if you
1538 wanted to parse the expression
1539 <tt>3 + 5 * (10 - 20)</tt> using the grammar defined above. In the example,
1540 the special symbol <tt>$</tt> represents the end of input.
1541
1542
1543 <blockquote>
1544 <pre>
1545 Step Symbol Stack Input Tokens Action
1546 ---- --------------------- --------------------- -------------------------------
1547 1 3 + 5 * ( 10 - 20 )$ Shift 3
1548 2 3 + 5 * ( 10 - 20 )$ Reduce factor : NUMBER
1549 3 factor + 5 * ( 10 - 20 )$ Reduce term : factor
1550 4 term + 5 * ( 10 - 20 )$ Reduce expr : term
1551 5 expr + 5 * ( 10 - 20 )$ Shift +
1552 6 expr + 5 * ( 10 - 20 )$ Shift 5
1553 7 expr + 5 * ( 10 - 20 )$ Reduce factor : NUMBER
1554 8 expr + factor * ( 10 - 20 )$ Reduce term : factor
1555 9 expr + term * ( 10 - 20 )$ Shift *
1556 10 expr + term * ( 10 - 20 )$ Shift (
1557 11 expr + term * ( 10 - 20 )$ Shift 10
1558 12 expr + term * ( 10 - 20 )$ Reduce factor : NUMBER
1559 13 expr + term * ( factor - 20 )$ Reduce term : factor
1560 14 expr + term * ( term - 20 )$ Reduce expr : term
1561 15 expr + term * ( expr - 20 )$ Shift -
1562 16 expr + term * ( expr - 20 )$ Shift 20
1563 17 expr + term * ( expr - 20 )$ Reduce factor : NUMBER
1564 18 expr + term * ( expr - factor )$ Reduce term : factor
1565 19 expr + term * ( expr - term )$ Reduce expr : expr - term
1566 20 expr + term * ( expr )$ Shift )
1567 21 expr + term * ( expr ) $ Reduce factor : (expr)
1568 22 expr + term * factor $ Reduce term : term * factor
1569 23 expr + term $ Reduce expr : expr + term
1570 24 expr $ Reduce expr
1571 25 $ Success!
1572 </pre>
1573 </blockquote>
1574
1575 When parsing the expression, an underlying state machine and the
1576 current input token determine what happens next. If the next token
1577 looks like part of a valid grammar rule (based on other items on the
1578 stack), it is generally shifted onto the stack. If the top of the
1579 stack contains a valid right-hand-side of a grammar rule, it is
1580 usually "reduced" and the symbols replaced with the symbol on the
1581 left-hand-side. When this reduction occurs, the appropriate action is
1582 triggered (if defined). If the input token can't be shifted and the
1583 top of stack doesn't match any grammar rules, a syntax error has
1584 occurred and the parser must take some kind of recovery step (or bail
1585 out). A parse is only successful if the parser reaches a state where
1586 the symbol stack is empty and there are no more input tokens.
1587
1588 <p>
1589 It is important to note that the underlying implementation is built
1590 around a large finite-state machine that is encoded in a collection of
1591 tables. The construction of these tables is non-trivial and
1592 beyond the scope of this discussion. However, subtle details of this
1593 process explain why, in the example above, the parser chooses to shift
1594 a token onto the stack in step 9 rather than reducing the
1595 rule <tt>expr : expr + term</tt>.
1596
1597 <H2><a name="ply_nn23"></a>6. Yacc</H2>
1598
1599
1600 The <tt>ply.yacc</tt> module implements the parsing component of PLY.
1601 The name "yacc" stands for "Yet Another Compiler Compiler" and is
1602 borrowed from the Unix tool of the same name.
1603
1604 <H3><a name="ply_nn24"></a>6.1 An example</H3>
1605
1606
1607 Suppose you wanted to make a grammar for simple arithmetic expressions as previously described. Here is
1608 how you would do it with <tt>yacc.py</tt>:
1609
1610 <blockquote>
1611 <pre>
1612 # Yacc example
1613
1614 import ply.yacc as yacc
1615
1616 # Get the token map from the lexer. This is required.
1617 from calclex import tokens
1618
1619 def p_expression_plus(p):
1620 'expression : expression PLUS term'
1621 p[0] = p[1] + p[3]
1622
1623 def p_expression_minus(p):
1624 'expression : expression MINUS term'
1625 p[0] = p[1] - p[3]
1626
1627 def p_expression_term(p):
1628 'expression : term'
1629 p[0] = p[1]
1630
1631 def p_term_times(p):
1632 'term : term TIMES factor'
1633 p[0] = p[1] * p[3]
1634
1635 def p_term_div(p):
1636 'term : term DIVIDE factor'
1637 p[0] = p[1] / p[3]
1638
1639 def p_term_factor(p):
1640 'term : factor'
1641 p[0] = p[1]
1642
1643 def p_factor_num(p):
1644 'factor : NUMBER'
1645 p[0] = p[1]
1646
1647 def p_factor_expr(p):
1648 'factor : LPAREN expression RPAREN'
1649 p[0] = p[2]
1650
1651 # Error rule for syntax errors
1652 def p_error(p):
1653 print("Syntax error in input!")
1654
1655 # Build the parser
1656 parser = yacc.yacc()
1657
1658 while True:
1659 try:
1660 s = raw_input('calc > ')
1661 except EOFError:
1662 break
1663 if not s: continue
1664 result = parser.parse(s)
1665 print(result)
1666 </pre>
1667 </blockquote>
1668
1669 In this example, each grammar rule is defined by a Python function
1670 where the docstring to that function contains the appropriate
1671 context-free grammar specification. The statements that make up the
1672 function body implement the semantic actions of the rule. Each function
1673 accepts a single argument <tt>p</tt> that is a sequence containing the
1674 values of each grammar symbol in the corresponding rule. The values
1675 of <tt>p[i]</tt> are mapped to grammar symbols as shown here:
1676
1677 <blockquote>
1678 <pre>
1679 def p_expression_plus(p):
1680 'expression : expression PLUS term'
1681 # ^ ^ ^ ^
1682 # p[0] p[1] p[2] p[3]
1683
1684 p[0] = p[1] + p[3]
1685 </pre>
1686 </blockquote>
1687
1688 <p>
1689 For tokens, the "value" of the corresponding <tt>p[i]</tt> is the
1690 <em>same</em> as the <tt>p.value</tt> attribute assigned in the lexer
1691 module. For non-terminals, the value is determined by whatever is
1692 placed in <tt>p[0]</tt> when rules are reduced. This value can be
1693 anything at all. However, it probably most common for the value to be
1694 a simple Python type, a tuple, or an instance. In this example, we
1695 are relying on the fact that the <tt>NUMBER</tt> token stores an
1696 integer value in its value field. All of the other rules simply
1697 perform various types of integer operations and propagate the result.
1698 </p>
1699
1700 <p>
1701 Note: The use of negative indices have a special meaning in
1702 yacc---specially <tt>p[-1]</tt> does not have the same value
1703 as <tt>p[3]</tt> in this example. Please see the section on "Embedded
1704 Actions" for further details.
1705 </p>
1706
1707 <p>
1708 The first rule defined in the yacc specification determines the
1709 starting grammar symbol (in this case, a rule for <tt>expression</tt>
1710 appears first). Whenever the starting rule is reduced by the parser
1711 and no more input is available, parsing stops and the final value is
1712 returned (this value will be whatever the top-most rule placed
1713 in <tt>p[0]</tt>). Note: an alternative starting symbol can be
1714 specified using the <tt>start</tt> keyword argument to
1715 <tt>yacc()</tt>.
1716
1717 <p>The <tt>p_error(p)</tt> rule is defined to catch syntax errors.
1718 See the error handling section below for more detail.
1719
1720 <p>
1721 To build the parser, call the <tt>yacc.yacc()</tt> function. This
1722 function looks at the module and attempts to construct all of the LR
1723 parsing tables for the grammar you have specified. The first
1724 time <tt>yacc.yacc()</tt> is invoked, you will get a message such as
1725 this:
1726
1727 <blockquote>
1728 <pre>
1729 $ python calcparse.py
1730 Generating LALR tables
1731 calc >
1732 </pre>
1733 </blockquote>
1734
1735 <p>
1736 Since table construction is relatively expensive (especially for large
1737 grammars), the resulting parsing table is written to
1738 a file called <tt>parsetab.py</tt>. In addition, a
1739 debugging file called <tt>parser.out</tt> is created. On subsequent
1740 executions, <tt>yacc</tt> will reload the table from
1741 <tt>parsetab.py</tt> unless it has detected a change in the underlying
1742 grammar (in which case the tables and <tt>parsetab.py</tt> file are
1743 regenerated). Both of these files are written to the same directory
1744 as the module in which the parser is specified.
1745 The name of the <tt>parsetab</tt> module can be changed using the
1746 <tt>tabmodule</tt> keyword argument to <tt>yacc()</tt>. For example:
1747 </p>
1748
1749 <blockquote>
1750 <pre>
1751 parser = yacc.yacc(tabmodule='fooparsetab')
1752 </pre>
1753 </blockquote>
1754
1755 <p>
1756 If any errors are detected in your grammar specification, <tt>yacc.py</tt> will produce
1757 diagnostic messages and possibly raise an exception. Some of the errors that can be detected include:
1758
1759 <ul>
1760 <li>Duplicated function names (if more than one rule function have the same name in the grammar file).
1761 <li>Shift/reduce and reduce/reduce conflicts generated by ambiguous grammars.
1762 <li>Badly specified grammar rules.
1763 <li>Infinite recursion (rules that can never terminate).
1764 <li>Unused rules and tokens
1765 <li>Undefined rules and tokens
1766 </ul>
1767
1768 The next few sections discuss grammar specification in more detail.
1769
1770 <p>
1771 The final part of the example shows how to actually run the parser
1772 created by
1773 <tt>yacc()</tt>. To run the parser, you simply have to call
1774 the <tt>parse()</tt> with a string of input text. This will run all
1775 of the grammar rules and return the result of the entire parse. This
1776 result return is the value assigned to <tt>p[0]</tt> in the starting
1777 grammar rule.
1778
1779 <H3><a name="ply_nn25"></a>6.2 Combining Grammar Rule Functions</H3>
1780
1781
1782 When grammar rules are similar, they can be combined into a single function.
1783 For example, consider the two rules in our earlier example:
1784
1785 <blockquote>
1786 <pre>
1787 def p_expression_plus(p):
1788 'expression : expression PLUS term'
1789 p[0] = p[1] + p[3]
1790
1791 def p_expression_minus(t):
1792 'expression : expression MINUS term'
1793 p[0] = p[1] - p[3]
1794 </pre>
1795 </blockquote>
1796
1797 Instead of writing two functions, you might write a single function like this:
1798
1799 <blockquote>
1800 <pre>
1801 def p_expression(p):
1802 '''expression : expression PLUS term
1803 | expression MINUS term'''
1804 if p[2] == '+':
1805 p[0] = p[1] + p[3]
1806 elif p[2] == '-':
1807 p[0] = p[1] - p[3]
1808 </pre>
1809 </blockquote>
1810
1811 In general, the doc string for any given function can contain multiple grammar rules. So, it would
1812 have also been legal (although possibly confusing) to write this:
1813
1814 <blockquote>
1815 <pre>
1816 def p_binary_operators(p):
1817 '''expression : expression PLUS term
1818 | expression MINUS term
1819 term : term TIMES factor
1820 | term DIVIDE factor'''
1821 if p[2] == '+':
1822 p[0] = p[1] + p[3]
1823 elif p[2] == '-':
1824 p[0] = p[1] - p[3]
1825 elif p[2] == '*':
1826 p[0] = p[1] * p[3]
1827 elif p[2] == '/':
1828 p[0] = p[1] / p[3]
1829 </pre>
1830 </blockquote>
1831
1832 When combining grammar rules into a single function, it is usually a good idea for all of the rules to have
1833 a similar structure (e.g., the same number of terms). Otherwise, the corresponding action code may be more
1834 complicated than necessary. However, it is possible to handle simple cases using len(). For example:
1835
1836 <blockquote>
1837 <pre>
1838 def p_expressions(p):
1839 '''expression : expression MINUS expression
1840 | MINUS expression'''
1841 if (len(p) == 4):
1842 p[0] = p[1] - p[3]
1843 elif (len(p) == 3):
1844 p[0] = -p[2]
1845 </pre>
1846 </blockquote>
1847
1848 If parsing performance is a concern, you should resist the urge to put
1849 too much conditional processing into a single grammar rule as shown in
1850 these examples. When you add checks to see which grammar rule is
1851 being handled, you are actually duplicating the work that the parser
1852 has already performed (i.e., the parser already knows exactly what rule it
1853 matched). You can eliminate this overhead by using a
1854 separate <tt>p_rule()</tt> function for each grammar rule.
1855
1856 <H3><a name="ply_nn26"></a>6.3 Character Literals</H3>
1857
1858
1859 If desired, a grammar may contain tokens defined as single character literals. For example:
1860
1861 <blockquote>
1862 <pre>
1863 def p_binary_operators(p):
1864 '''expression : expression '+' term
1865 | expression '-' term
1866 term : term '*' factor
1867 | term '/' factor'''
1868 if p[2] == '+':
1869 p[0] = p[1] + p[3]
1870 elif p[2] == '-':
1871 p[0] = p[1] - p[3]
1872 elif p[2] == '*':
1873 p[0] = p[1] * p[3]
1874 elif p[2] == '/':
1875 p[0] = p[1] / p[3]
1876 </pre>
1877 </blockquote>
1878
1879 A character literal must be enclosed in quotes such as <tt>'+'</tt>. In addition, if literals are used, they must be declared in the
1880 corresponding <tt>lex</tt> file through the use of a special <tt>literals</tt> declaration.
1881
1882 <blockquote>
1883 <pre>
1884 # Literals. Should be placed in module given to lex()
1885 literals = ['+','-','*','/' ]
1886 </pre>
1887 </blockquote>
1888
1889 <b>Character literals are limited to a single character</b>. Thus, it is not legal to specify literals such as <tt>'&lt;='</tt> or <tt>'=='</tt>. For this, use
1890 the normal lexing rules (e.g., define a rule such as <tt>t_EQ = r'=='</tt>).
1891
1892 <H3><a name="ply_nn26"></a>6.4 Empty Productions</H3>
1893
1894
1895 <tt>yacc.py</tt> can handle empty productions by defining a rule like this:
1896
1897 <blockquote>
1898 <pre>
1899 def p_empty(p):
1900 'empty :'
1901 pass
1902 </pre>
1903 </blockquote>
1904
1905 Now to use the empty production, simply use 'empty' as a symbol. For example:
1906
1907 <blockquote>
1908 <pre>
1909 def p_optitem(p):
1910 'optitem : item'
1911 ' | empty'
1912 ...
1913 </pre>
1914 </blockquote>
1915
1916 Note: You can write empty rules anywhere by simply specifying an empty
1917 right hand side. However, I personally find that writing an "empty"
1918 rule and using "empty" to denote an empty production is easier to read
1919 and more clearly states your intentions.
1920
1921 <H3><a name="ply_nn28"></a>6.5 Changing the starting symbol</H3>
1922
1923
1924 Normally, the first rule found in a yacc specification defines the starting grammar rule (top level rule). To change this, simply
1925 supply a <tt>start</tt> specifier in your file. For example:
1926
1927 <blockquote>
1928 <pre>
1929 start = 'foo'
1930
1931 def p_bar(p):
1932 'bar : A B'
1933
1934 # This is the starting rule due to the start specifier above
1935 def p_foo(p):
1936 'foo : bar X'
1937 ...
1938 </pre>
1939 </blockquote>
1940
1941 The use of a <tt>start</tt> specifier may be useful during debugging
1942 since you can use it to have yacc build a subset of a larger grammar.
1943 For this purpose, it is also possible to specify a starting symbol as
1944 an argument to <tt>yacc()</tt>. For example:
1945
1946 <blockquote>
1947 <pre>
1948 parser = yacc.yacc(start='foo')
1949 </pre>
1950 </blockquote>
1951
1952 <H3><a name="ply_nn27"></a>6.6 Dealing With Ambiguous Grammars</H3>
1953
1954
1955 The expression grammar given in the earlier example has been written
1956 in a special format to eliminate ambiguity. However, in many
1957 situations, it is extremely difficult or awkward to write grammars in
1958 this format. A much more natural way to express the grammar is in a
1959 more compact form like this:
1960
1961 <blockquote>
1962 <pre>
1963 expression : expression PLUS expression
1964 | expression MINUS expression
1965 | expression TIMES expression
1966 | expression DIVIDE expression
1967 | LPAREN expression RPAREN
1968 | NUMBER
1969 </pre>
1970 </blockquote>
1971
1972 Unfortunately, this grammar specification is ambiguous. For example,
1973 if you are parsing the string "3 * 4 + 5", there is no way to tell how
1974 the operators are supposed to be grouped. For example, does the
1975 expression mean "(3 * 4) + 5" or is it "3 * (4+5)"?
1976
1977 <p>
1978 When an ambiguous grammar is given to <tt>yacc.py</tt> it will print
1979 messages about "shift/reduce conflicts" or "reduce/reduce conflicts".
1980 A shift/reduce conflict is caused when the parser generator can't
1981 decide whether or not to reduce a rule or shift a symbol on the
1982 parsing stack. For example, consider the string "3 * 4 + 5" and the
1983 internal parsing stack:
1984
1985 <blockquote>
1986 <pre>
1987 Step Symbol Stack Input Tokens Action
1988 ---- --------------------- --------------------- -------------------------------
1989 1 $ 3 * 4 + 5$ Shift 3
1990 2 $ 3 * 4 + 5$ Reduce : expression : NUMBER
1991 3 $ expr * 4 + 5$ Shift *
1992 4 $ expr * 4 + 5$ Shift 4
1993 5 $ expr * 4 + 5$ Reduce: expression : NUMBER
1994 6 $ expr * expr + 5$ SHIFT/REDUCE CONFLICT ????
1995 </pre>
1996 </blockquote>
1997
1998 In this case, when the parser reaches step 6, it has two options. One
1999 is to reduce the rule <tt>expr : expr * expr</tt> on the stack. The
2000 other option is to shift the token <tt>+</tt> on the stack. Both
2001 options are perfectly legal from the rules of the
2002 context-free-grammar.
2003
2004 <p>
2005 By default, all shift/reduce conflicts are resolved in favor of
2006 shifting. Therefore, in the above example, the parser will always
2007 shift the <tt>+</tt> instead of reducing. Although this strategy
2008 works in many cases (for example, the case of
2009 "if-then" versus "if-then-else"), it is not enough for arithmetic expressions. In fact,
2010 in the above example, the decision to shift <tt>+</tt> is completely
2011 wrong---we should have reduced <tt>expr * expr</tt> since
2012 multiplication has higher mathematical precedence than addition.
2013
2014 <p>To resolve ambiguity, especially in expression
2015 grammars, <tt>yacc.py</tt> allows individual tokens to be assigned a
2016 precedence level and associativity. This is done by adding a variable
2017 <tt>precedence</tt> to the grammar file like this:
2018
2019 <blockquote>
2020 <pre>
2021 precedence = (
2022 ('left', 'PLUS', 'MINUS'),
2023 ('left', 'TIMES', 'DIVIDE'),
2024 )
2025 </pre>
2026 </blockquote>
2027
2028 This declaration specifies that <tt>PLUS</tt>/<tt>MINUS</tt> have the
2029 same precedence level and are left-associative and that
2030 <tt>TIMES</tt>/<tt>DIVIDE</tt> have the same precedence and are
2031 left-associative. Within the <tt>precedence</tt> declaration, tokens
2032 are ordered from lowest to highest precedence. Thus, this declaration
2033 specifies that <tt>TIMES</tt>/<tt>DIVIDE</tt> have higher precedence
2034 than <tt>PLUS</tt>/<tt>MINUS</tt> (since they appear later in the
2035 precedence specification).
2036
2037 <p>
2038 The precedence specification works by associating a numerical
2039 precedence level value and associativity direction to the listed
2040 tokens. For example, in the above example you get:
2041
2042 <blockquote>
2043 <pre>
2044 PLUS : level = 1, assoc = 'left'
2045 MINUS : level = 1, assoc = 'left'
2046 TIMES : level = 2, assoc = 'left'
2047 DIVIDE : level = 2, assoc = 'left'
2048 </pre>
2049 </blockquote>
2050
2051 These values are then used to attach a numerical precedence value and
2052 associativity direction to each grammar rule. <em>This is always
2053 determined by looking at the precedence of the right-most terminal
2054 symbol.</em> For example:
2055
2056 <blockquote>
2057 <pre>
2058 expression : expression PLUS expression # level = 1, left
2059 | expression MINUS expression # level = 1, left
2060 | expression TIMES expression # level = 2, left
2061 | expression DIVIDE expression # level = 2, left
2062 | LPAREN expression RPAREN # level = None (not specified)
2063 | NUMBER # level = None (not specified)
2064 </pre>
2065 </blockquote>
2066
2067 When shift/reduce conflicts are encountered, the parser generator resolves the conflict by
2068 looking at the precedence rules and associativity specifiers.
2069
2070 <p>
2071 <ol>
2072 <li>If the current token has higher precedence than the rule on the stack, it is shifted.
2073 <li>If the grammar rule on the stack has higher precedence, the rule is reduced.
2074 <li>If the current token and the grammar rule have the same precedence, the
2075 rule is reduced for left associativity, whereas the token is shifted for right associativity.
2076 <li>If nothing is known about the precedence, shift/reduce conflicts are resolved in
2077 favor of shifting (the default).
2078 </ol>
2079
2080 For example, if "expression PLUS expression" has been parsed and the
2081 next token is "TIMES", the action is going to be a shift because
2082 "TIMES" has a higher precedence level than "PLUS". On the other hand,
2083 if "expression TIMES expression" has been parsed and the next token is
2084 "PLUS", the action is going to be reduce because "PLUS" has a lower
2085 precedence than "TIMES."
2086
2087 <p>
2088 When shift/reduce conflicts are resolved using the first three
2089 techniques (with the help of precedence rules), <tt>yacc.py</tt> will
2090 report no errors or conflicts in the grammar (although it will print
2091 some information in the <tt>parser.out</tt> debugging file).
2092
2093 <p>
2094 One problem with the precedence specifier technique is that it is
2095 sometimes necessary to change the precedence of an operator in certain
2096 contexts. For example, consider a unary-minus operator in "3 + 4 *
2097 -5". Mathematically, the unary minus is normally given a very high
2098 precedence--being evaluated before the multiply. However, in our
2099 precedence specifier, MINUS has a lower precedence than TIMES. To
2100 deal with this, precedence rules can be given for so-called "fictitious tokens"
2101 like this:
2102
2103 <blockquote>
2104 <pre>
2105 precedence = (
2106 ('left', 'PLUS', 'MINUS'),
2107 ('left', 'TIMES', 'DIVIDE'),
2108 ('right', 'UMINUS'), # Unary minus operator
2109 )
2110 </pre>
2111 </blockquote>
2112
2113 Now, in the grammar file, we can write our unary minus rule like this:
2114
2115 <blockquote>
2116 <pre>
2117 def p_expr_uminus(p):
2118 'expression : MINUS expression %prec UMINUS'
2119 p[0] = -p[2]
2120 </pre>
2121 </blockquote>
2122
2123 In this case, <tt>%prec UMINUS</tt> overrides the default rule precedence--setting it to that
2124 of UMINUS in the precedence specifier.
2125
2126 <p>
2127 At first, the use of UMINUS in this example may appear very confusing.
2128 UMINUS is not an input token or a grammar rule. Instead, you should
2129 think of it as the name of a special marker in the precedence table. When you use the <tt>%prec</tt> qualifier, you're simply
2130 telling yacc that you want the precedence of the expression to be the same as for this special marker instead of the usual precedence.
2131
2132 <p>
2133 It is also possible to specify non-associativity in the <tt>precedence</tt> table. This would
2134 be used when you <em>don't</em> want operations to chain together. For example, suppose
2135 you wanted to support comparison operators like <tt>&lt;</tt> and <tt>&gt;</tt> but you didn't want to allow
2136 combinations like <tt>a &lt; b &lt; c</tt>. To do this, simply specify a rule like this:
2137
2138 <blockquote>
2139 <pre>
2140 precedence = (
2141 ('nonassoc', 'LESSTHAN', 'GREATERTHAN'), # Nonassociative operators
2142 ('left', 'PLUS', 'MINUS'),
2143 ('left', 'TIMES', 'DIVIDE'),
2144 ('right', 'UMINUS'), # Unary minus operator
2145 )
2146 </pre>
2147 </blockquote>
2148
2149 <p>
2150 If you do this, the occurrence of input text such as <tt> a &lt; b &lt; c</tt> will result in a syntax error. However, simple
2151 expressions such as <tt>a &lt; b</tt> will still be fine.
2152
2153 <p>
2154 Reduce/reduce conflicts are caused when there are multiple grammar
2155 rules that can be applied to a given set of symbols. This kind of
2156 conflict is almost always bad and is always resolved by picking the
2157 rule that appears first in the grammar file. Reduce/reduce conflicts
2158 are almost always caused when different sets of grammar rules somehow
2159 generate the same set of symbols. For example:
2160
2161 <blockquote>
2162 <pre>
2163 assignment : ID EQUALS NUMBER
2164 | ID EQUALS expression
2165
2166 expression : expression PLUS expression
2167 | expression MINUS expression
2168 | expression TIMES expression
2169 | expression DIVIDE expression
2170 | LPAREN expression RPAREN
2171 | NUMBER
2172 </pre>
2173 </blockquote>
2174
2175 In this case, a reduce/reduce conflict exists between these two rules:
2176
2177 <blockquote>
2178 <pre>
2179 assignment : ID EQUALS NUMBER
2180 expression : NUMBER
2181 </pre>
2182 </blockquote>
2183
2184 For example, if you wrote "a = 5", the parser can't figure out if this
2185 is supposed to be reduced as <tt>assignment : ID EQUALS NUMBER</tt> or
2186 whether it's supposed to reduce the 5 as an expression and then reduce
2187 the rule <tt>assignment : ID EQUALS expression</tt>.
2188
2189 <p>
2190 It should be noted that reduce/reduce conflicts are notoriously
2191 difficult to spot simply looking at the input grammar. When a
2192 reduce/reduce conflict occurs, <tt>yacc()</tt> will try to help by
2193 printing a warning message such as this:
2194
2195 <blockquote>
2196 <pre>
2197 WARNING: 1 reduce/reduce conflict
2198 WARNING: reduce/reduce conflict in state 15 resolved using rule (assignment -> ID EQUALS NUMBER)
2199 WARNING: rejected rule (expression -> NUMBER)
2200 </pre>
2201 </blockquote>
2202
2203 This message identifies the two rules that are in conflict. However,
2204 it may not tell you how the parser arrived at such a state. To try
2205 and figure it out, you'll probably have to look at your grammar and
2206 the contents of the
2207 <tt>parser.out</tt> debugging file with an appropriately high level of
2208 caffeination.
2209
2210 <H3><a name="ply_nn28"></a>6.7 The parser.out file</H3>
2211
2212
2213 Tracking down shift/reduce and reduce/reduce conflicts is one of the finer pleasures of using an LR
2214 parsing algorithm. To assist in debugging, <tt>yacc.py</tt> creates a debugging file called
2215 'parser.out' when it generates the parsing table. The contents of this file look like the following:
2216
2217 <blockquote>
2218 <pre>
2219 Unused terminals:
2220
2221
2222 Grammar
2223
2224 Rule 1 expression -> expression PLUS expression
2225 Rule 2 expression -> expression MINUS expression
2226 Rule 3 expression -> expression TIMES expression
2227 Rule 4 expression -> expression DIVIDE expression
2228 Rule 5 expression -> NUMBER
2229 Rule 6 expression -> LPAREN expression RPAREN
2230
2231 Terminals, with rules where they appear
2232
2233 TIMES : 3
2234 error :
2235 MINUS : 2
2236 RPAREN : 6
2237 LPAREN : 6
2238 DIVIDE : 4
2239 PLUS : 1
2240 NUMBER : 5
2241
2242 Nonterminals, with rules where they appear
2243
2244 expression : 1 1 2 2 3 3 4 4 6 0
2245
2246
2247 Parsing method: LALR
2248
2249
2250 state 0
2251
2252 S' -> . expression
2253 expression -> . expression PLUS expression
2254 expression -> . expression MINUS expression
2255 expression -> . expression TIMES expression
2256 expression -> . expression DIVIDE expression
2257 expression -> . NUMBER
2258 expression -> . LPAREN expression RPAREN
2259
2260 NUMBER shift and go to state 3
2261 LPAREN shift and go to state 2
2262
2263
2264 state 1
2265
2266 S' -> expression .
2267 expression -> expression . PLUS expression
2268 expression -> expression . MINUS expression
2269 expression -> expression . TIMES expression
2270 expression -> expression . DIVIDE expression
2271
2272 PLUS shift and go to state 6
2273 MINUS shift and go to state 5
2274 TIMES shift and go to state 4
2275 DIVIDE shift and go to state 7
2276
2277
2278 state 2
2279
2280 expression -> LPAREN . expression RPAREN
2281 expression -> . expression PLUS expression
2282 expression -> . expression MINUS expression
2283 expression -> . expression TIMES expression
2284 expression -> . expression DIVIDE expression
2285 expression -> . NUMBER
2286 expression -> . LPAREN expression RPAREN
2287
2288 NUMBER shift and go to state 3
2289 LPAREN shift and go to state 2
2290
2291
2292 state 3
2293
2294 expression -> NUMBER .
2295
2296 $ reduce using rule 5
2297 PLUS reduce using rule 5
2298 MINUS reduce using rule 5
2299 TIMES reduce using rule 5
2300 DIVIDE reduce using rule 5
2301 RPAREN reduce using rule 5
2302
2303
2304 state 4
2305
2306 expression -> expression TIMES . expression
2307 expression -> . expression PLUS expression
2308 expression -> . expression MINUS expression
2309 expression -> . expression TIMES expression
2310 expression -> . expression DIVIDE expression
2311 expression -> . NUMBER
2312 expression -> . LPAREN expression RPAREN
2313
2314 NUMBER shift and go to state 3
2315 LPAREN shift and go to state 2
2316
2317
2318 state 5
2319
2320 expression -> expression MINUS . expression
2321 expression -> . expression PLUS expression
2322 expression -> . expression MINUS expression
2323 expression -> . expression TIMES expression
2324 expression -> . expression DIVIDE expression
2325 expression -> . NUMBER
2326 expression -> . LPAREN expression RPAREN
2327
2328 NUMBER shift and go to state 3
2329 LPAREN shift and go to state 2
2330
2331
2332 state 6
2333
2334 expression -> expression PLUS . expression
2335 expression -> . expression PLUS expression
2336 expression -> . expression MINUS expression
2337 expression -> . expression TIMES expression
2338 expression -> . expression DIVIDE expression
2339 expression -> . NUMBER
2340 expression -> . LPAREN expression RPAREN
2341
2342 NUMBER shift and go to state 3
2343 LPAREN shift and go to state 2
2344
2345
2346 state 7
2347
2348 expression -> expression DIVIDE . expression
2349 expression -> . expression PLUS expression
2350 expression -> . expression MINUS expression
2351 expression -> . expression TIMES expression
2352 expression -> . expression DIVIDE expression
2353 expression -> . NUMBER
2354 expression -> . LPAREN expression RPAREN
2355
2356 NUMBER shift and go to state 3
2357 LPAREN shift and go to state 2
2358
2359
2360 state 8
2361
2362 expression -> LPAREN expression . RPAREN
2363 expression -> expression . PLUS expression
2364 expression -> expression . MINUS expression
2365 expression -> expression . TIMES expression
2366 expression -> expression . DIVIDE expression
2367
2368 RPAREN shift and go to state 13
2369 PLUS shift and go to state 6
2370 MINUS shift and go to state 5
2371 TIMES shift and go to state 4
2372 DIVIDE shift and go to state 7
2373
2374
2375 state 9
2376
2377 expression -> expression TIMES expression .
2378 expression -> expression . PLUS expression
2379 expression -> expression . MINUS expression
2380 expression -> expression . TIMES expression
2381 expression -> expression . DIVIDE expression
2382
2383 $ reduce using rule 3
2384 PLUS reduce using rule 3
2385 MINUS reduce using rule 3
2386 TIMES reduce using rule 3
2387 DIVIDE reduce using rule 3
2388 RPAREN reduce using rule 3
2389
2390 ! PLUS [ shift and go to state 6 ]
2391 ! MINUS [ shift and go to state 5 ]
2392 ! TIMES [ shift and go to state 4 ]
2393 ! DIVIDE [ shift and go to state 7 ]
2394
2395 state 10
2396
2397 expression -> expression MINUS expression .
2398 expression -> expression . PLUS expression
2399 expression -> expression . MINUS expression
2400 expression -> expression . TIMES expression
2401 expression -> expression . DIVIDE expression
2402
2403 $ reduce using rule 2
2404 PLUS reduce using rule 2
2405 MINUS reduce using rule 2
2406 RPAREN reduce using rule 2
2407 TIMES shift and go to state 4
2408 DIVIDE shift and go to state 7
2409
2410 ! TIMES [ reduce using rule 2 ]
2411 ! DIVIDE [ reduce using rule 2 ]
2412 ! PLUS [ shift and go to state 6 ]
2413 ! MINUS [ shift and go to state 5 ]
2414
2415 state 11
2416
2417 expression -> expression PLUS expression .
2418 expression -> expression . PLUS expression
2419 expression -> expression . MINUS expression
2420 expression -> expression . TIMES expression
2421 expression -> expression . DIVIDE expression
2422
2423 $ reduce using rule 1
2424 PLUS reduce using rule 1
2425 MINUS reduce using rule 1
2426 RPAREN reduce using rule 1
2427 TIMES shift and go to state 4
2428 DIVIDE shift and go to state 7
2429
2430 ! TIMES [ reduce using rule 1 ]
2431 ! DIVIDE [ reduce using rule 1 ]
2432 ! PLUS [ shift and go to state 6 ]
2433 ! MINUS [ shift and go to state 5 ]
2434
2435 state 12
2436
2437 expression -> expression DIVIDE expression .
2438 expression -> expression . PLUS expression
2439 expression -> expression . MINUS expression
2440 expression -> expression . TIMES expression
2441 expression -> expression . DIVIDE expression
2442
2443 $ reduce using rule 4
2444 PLUS reduce using rule 4
2445 MINUS reduce using rule 4
2446 TIMES reduce using rule 4
2447 DIVIDE reduce using rule 4
2448 RPAREN reduce using rule 4
2449
2450 ! PLUS [ shift and go to state 6 ]
2451 ! MINUS [ shift and go to state 5 ]
2452 ! TIMES [ shift and go to state 4 ]
2453 ! DIVIDE [ shift and go to state 7 ]
2454
2455 state 13
2456
2457 expression -> LPAREN expression RPAREN .
2458
2459 $ reduce using rule 6
2460 PLUS reduce using rule 6
2461 MINUS reduce using rule 6
2462 TIMES reduce using rule 6
2463 DIVIDE reduce using rule 6
2464 RPAREN reduce using rule 6
2465 </pre>
2466 </blockquote>
2467
2468 The different states that appear in this file are a representation of
2469 every possible sequence of valid input tokens allowed by the grammar.
2470 When receiving input tokens, the parser is building up a stack and
2471 looking for matching rules. Each state keeps track of the grammar
2472 rules that might be in the process of being matched at that point. Within each
2473 rule, the "." character indicates the current location of the parse
2474 within that rule. In addition, the actions for each valid input token
2475 are listed. When a shift/reduce or reduce/reduce conflict arises,
2476 rules <em>not</em> selected are prefixed with an !. For example:
2477
2478 <blockquote>
2479 <pre>
2480 ! TIMES [ reduce using rule 2 ]
2481 ! DIVIDE [ reduce using rule 2 ]
2482 ! PLUS [ shift and go to state 6 ]
2483 ! MINUS [ shift and go to state 5 ]
2484 </pre>
2485 </blockquote>
2486
2487 By looking at these rules (and with a little practice), you can usually track down the source
2488 of most parsing conflicts. It should also be stressed that not all shift-reduce conflicts are
2489 bad. However, the only way to be sure that they are resolved correctly is to look at <tt>parser.out</tt>.
2490
2491 <H3><a name="ply_nn29"></a>6.8 Syntax Error Handling</H3>
2492
2493
2494 If you are creating a parser for production use, the handling of
2495 syntax errors is important. As a general rule, you don't want a
2496 parser to simply throw up its hands and stop at the first sign of
2497 trouble. Instead, you want it to report the error, recover if possible, and
2498 continue parsing so that all of the errors in the input get reported
2499 to the user at once. This is the standard behavior found in compilers
2500 for languages such as C, C++, and Java.
2501
2502 In PLY, when a syntax error occurs during parsing, the error is immediately
2503 detected (i.e., the parser does not read any more tokens beyond the
2504 source of the error). However, at this point, the parser enters a
2505 recovery mode that can be used to try and continue further parsing.
2506 As a general rule, error recovery in LR parsers is a delicate
2507 topic that involves ancient rituals and black-magic. The recovery mechanism
2508 provided by <tt>yacc.py</tt> is comparable to Unix yacc so you may want
2509 consult a book like O'Reilly's "Lex and Yacc" for some of the finer details.
2510
2511 <p>
2512 When a syntax error occurs, <tt>yacc.py</tt> performs the following steps:
2513
2514 <ol>
2515 <li>On the first occurrence of an error, the user-defined <tt>p_error()</tt> function
2516 is called with the offending token as an argument. However, if the syntax error is due to
2517 reaching the end-of-file, <tt>p_error()</tt> is called with an
2518 argument of <tt>None</tt>.
2519 Afterwards, the parser enters
2520 an "error-recovery" mode in which it will not make future calls to <tt>p_error()</tt> until it
2521 has successfully shifted at least 3 tokens onto the parsing stack.
2522
2523 <p>
2524 <li>If no recovery action is taken in <tt>p_error()</tt>, the offending lookahead token is replaced
2525 with a special <tt>error</tt> token.
2526
2527 <p>
2528 <li>If the offending lookahead token is already set to <tt>error</tt>, the top item of the parsing stack is
2529 deleted.
2530
2531 <p>
2532 <li>If the entire parsing stack is unwound, the parser enters a restart state and attempts to start
2533 parsing from its initial state.
2534
2535 <p>
2536 <li>If a grammar rule accepts <tt>error</tt> as a token, it will be
2537 shifted onto the parsing stack.
2538
2539 <p>
2540 <li>If the top item of the parsing stack is <tt>error</tt>, lookahead tokens will be discarded until the
2541 parser can successfully shift a new symbol or reduce a rule involving <tt>error</tt>.
2542 </ol>
2543
2544 <H4><a name="ply_nn30"></a>6.8.1 Recovery and resynchronization with error rules</H4>
2545
2546
2547 The most well-behaved approach for handling syntax errors is to write grammar rules that include the <tt>error</tt>
2548 token. For example, suppose your language had a grammar rule for a print statement like this:
2549
2550 <blockquote>
2551 <pre>
2552 def p_statement_print(p):
2553 'statement : PRINT expr SEMI'
2554 ...
2555 </pre>
2556 </blockquote>
2557
2558 To account for the possibility of a bad expression, you might write an additional grammar rule like this:
2559
2560 <blockquote>
2561 <pre>
2562 def p_statement_print_error(p):
2563 'statement : PRINT error SEMI'
2564 print("Syntax error in print statement. Bad expression")
2565
2566 </pre>
2567 </blockquote>
2568
2569 In this case, the <tt>error</tt> token will match any sequence of
2570 tokens that might appear up to the first semicolon that is
2571 encountered. Once the semicolon is reached, the rule will be
2572 invoked and the <tt>error</tt> token will go away.
2573
2574 <p>
2575 This type of recovery is sometimes known as parser resynchronization.
2576 The <tt>error</tt> token acts as a wildcard for any bad input text and
2577 the token immediately following <tt>error</tt> acts as a
2578 synchronization token.
2579
2580 <p>
2581 It is important to note that the <tt>error</tt> token usually does not appear as the last token
2582 on the right in an error rule. For example:
2583
2584 <blockquote>
2585 <pre>
2586 def p_statement_print_error(p):
2587 'statement : PRINT error'
2588 print("Syntax error in print statement. Bad expression")
2589 </pre>
2590 </blockquote>
2591
2592 This is because the first bad token encountered will cause the rule to
2593 be reduced--which may make it difficult to recover if more bad tokens
2594 immediately follow.
2595
2596 <H4><a name="ply_nn31"></a>6.8.2 Panic mode recovery</H4>
2597
2598
2599 An alternative error recovery scheme is to enter a panic mode recovery in which tokens are
2600 discarded to a point where the parser might be able to recover in some sensible manner.
2601
2602 <p>
2603 Panic mode recovery is implemented entirely in the <tt>p_error()</tt> function. For example, this
2604 function starts discarding tokens until it reaches a closing '}'. Then, it restarts the
2605 parser in its initial state.
2606
2607 <blockquote>
2608 <pre>
2609 def p_error(p):
2610 print("Whoa. You are seriously hosed.")
2611 if not p:
2612 print("End of File!")
2613 return
2614
2615 # Read ahead looking for a closing '}'
2616 while True:
2617 tok = parser.token() # Get the next token
2618 if not tok or tok.type == 'RBRACE':
2619 break
2620 parser.restart()
2621 </pre>
2622 </blockquote>
2623
2624 <p>
2625 This function simply discards the bad token and tells the parser that the error was ok.
2626
2627 <blockquote>
2628 <pre>
2629 def p_error(p):
2630 if p:
2631 print("Syntax error at token", p.type)
2632 # Just discard the token and tell the parser it's okay.
2633 parser.errok()
2634 else:
2635 print("Syntax error at EOF")
2636 </pre>
2637 </blockquote>
2638
2639 <P>
2640 More information on these methods is as follows:
2641 </p>
2642
2643 <p>
2644 <ul>
2645 <li><tt>parser.errok()</tt>. This resets the parser state so it doesn't think it's in error-recovery
2646 mode. This will prevent an <tt>error</tt> token from being generated and will reset the internal
2647 error counters so that the next syntax error will call <tt>p_error()</tt> again.
2648
2649 <p>
2650 <li><tt>parser.token()</tt>. This returns the next token on the input stream.
2651
2652 <p>
2653 <li><tt>parser.restart()</tt>. This discards the entire parsing stack and resets the parser
2654 to its initial state.
2655 </ul>
2656
2657 <p>
2658 To supply the next lookahead token to the parser, <tt>p_error()</tt> can return a token. This might be
2659 useful if trying to synchronize on special characters. For example:
2660
2661 <blockquote>
2662 <pre>
2663 def p_error(p):
2664 # Read ahead looking for a terminating ";"
2665 while True:
2666 tok = parser.token() # Get the next token
2667 if not tok or tok.type == 'SEMI': break
2668 parser.errok()
2669
2670 # Return SEMI to the parser as the next lookahead token
2671 return tok
2672 </pre>
2673 </blockquote>
2674
2675 <p>
2676 Keep in mind in that the above error handling functions,
2677 <tt>parser</tt> is an instance of the parser created by
2678 <tt>yacc()</tt>. You'll need to save this instance someplace in your
2679 code so that you can refer to it during error handling.
2680 </p>
2681
2682 <H4><a name="ply_nn35"></a>6.8.3 Signalling an error from a production</H4>
2683
2684
2685 If necessary, a production rule can manually force the parser to enter error recovery. This
2686 is done by raising the <tt>SyntaxError</tt> exception like this:
2687
2688 <blockquote>
2689 <pre>
2690 def p_production(p):
2691 'production : some production ...'
2692 raise SyntaxError
2693 </pre>
2694 </blockquote>
2695
2696 The effect of raising <tt>SyntaxError</tt> is the same as if the last symbol shifted onto the
2697 parsing stack was actually a syntax error. Thus, when you do this, the last symbol shifted is popped off
2698 of the parsing stack and the current lookahead token is set to an <tt>error</tt> token. The parser
2699 then enters error-recovery mode where it tries to reduce rules that can accept <tt>error</tt> tokens.
2700 The steps that follow from this point are exactly the same as if a syntax error were detected and
2701 <tt>p_error()</tt> were called.
2702
2703 <P>
2704 One important aspect of manually setting an error is that the <tt>p_error()</tt> function will <b>NOT</b> be
2705 called in this case. If you need to issue an error message, make sure you do it in the production that
2706 raises <tt>SyntaxError</tt>.
2707
2708 <P>
2709 Note: This feature of PLY is meant to mimic the behavior of the YYERROR macro in yacc.
2710
2711 <H4><a name="ply_nn38"></a>6.8.4 When Do Syntax Errors Get Reported</H4>
2712
2713
2714 <p>
2715 In most cases, yacc will handle errors as soon as a bad input token is
2716 detected on the input. However, be aware that yacc may choose to
2717 delay error handling until after it has reduced one or more grammar
2718 rules first. This behavior might be unexpected, but it's related to
2719 special states in the underlying parsing table known as "defaulted
2720 states." A defaulted state is parsing condition where the same
2721 grammar rule will be reduced regardless of what <em>valid</em> token
2722 comes next on the input. For such states, yacc chooses to go ahead
2723 and reduce the grammar rule <em>without reading the next input
2724 token</em>. If the next token is bad, yacc will eventually get around to reading it and
2725 report a syntax error. It's just a little unusual in that you might
2726 see some of your grammar rules firing immediately prior to the syntax
2727 error.
2728 </p>
2729
2730 <p>
2731 Usually, the delayed error reporting with defaulted states is harmless
2732 (and there are other reasons for wanting PLY to behave in this way).
2733 However, if you need to turn this behavior off for some reason. You
2734 can clear the defaulted states table like this:
2735 </p>
2736
2737 <blockquote>
2738 <pre>
2739 parser = yacc.yacc()
2740 parser.defaulted_states = {}
2741 </pre>
2742 </blockquote>
2743
2744 <p>
2745 Disabling defaulted states is not recommended if your grammar makes use
2746 of embedded actions as described in Section 6.11.</p>
2747
2748 <H4><a name="ply_nn32"></a>6.8.5 General comments on error handling</H4>
2749
2750
2751 For normal types of languages, error recovery with error rules and resynchronization characters is probably the most reliable
2752 technique. This is because you can instrument the grammar to catch errors at selected places where it is relatively easy
2753 to recover and continue parsing. Panic mode recovery is really only useful in certain specialized applications where you might want
2754 to discard huge portions of the input text to find a valid restart point.
2755
2756 <H3><a name="ply_nn33"></a>6.9 Line Number and Position Tracking</H3>
2757
2758
2759 Position tracking is often a tricky problem when writing compilers.
2760 By default, PLY tracks the line number and position of all tokens.
2761 This information is available using the following functions:
2762
2763 <ul>
2764 <li><tt>p.lineno(num)</tt>. Return the line number for symbol <em>num</em>
2765 <li><tt>p.lexpos(num)</tt>. Return the lexing position for symbol <em>num</em>
2766 </ul>
2767
2768 For example:
2769
2770 <blockquote>
2771 <pre>
2772 def p_expression(p):
2773 'expression : expression PLUS expression'
2774 line = p.lineno(2) # line number of the PLUS token
2775 index = p.lexpos(2) # Position of the PLUS token
2776 </pre>
2777 </blockquote>
2778
2779 As an optional feature, <tt>yacc.py</tt> can automatically track line
2780 numbers and positions for all of the grammar symbols as well.
2781 However, this extra tracking requires extra processing and can
2782 significantly slow down parsing. Therefore, it must be enabled by
2783 passing the
2784 <tt>tracking=True</tt> option to <tt>yacc.parse()</tt>. For example:
2785
2786 <blockquote>
2787 <pre>
2788 yacc.parse(data,tracking=True)
2789 </pre>
2790 </blockquote>
2791
2792 Once enabled, the <tt>lineno()</tt> and <tt>lexpos()</tt> methods work
2793 for all grammar symbols. In addition, two additional methods can be
2794 used:
2795
2796 <ul>
2797 <li><tt>p.linespan(num)</tt>. Return a tuple (startline,endline) with the starting and ending line number for symbol <em>num</em>.
2798 <li><tt>p.lexspan(num)</tt>. Return a tuple (start,end) with the starting and ending positions for symbol <em>num</em>.
2799 </ul>
2800
2801 For example:
2802
2803 <blockquote>
2804 <pre>
2805 def p_expression(p):
2806 'expression : expression PLUS expression'
2807 p.lineno(1) # Line number of the left expression
2808 p.lineno(2) # line number of the PLUS operator
2809 p.lineno(3) # line number of the right expression
2810 ...
2811 start,end = p.linespan(3) # Start,end lines of the right expression
2812 starti,endi = p.lexspan(3) # Start,end positions of right expression
2813
2814 </pre>
2815 </blockquote>
2816
2817 Note: The <tt>lexspan()</tt> function only returns the range of values up to the start of the last grammar symbol.
2818
2819 <p>
2820 Although it may be convenient for PLY to track position information on
2821 all grammar symbols, this is often unnecessary. For example, if you
2822 are merely using line number information in an error message, you can
2823 often just key off of a specific token in the grammar rule. For
2824 example:
2825
2826 <blockquote>
2827 <pre>
2828 def p_bad_func(p):
2829 'funccall : fname LPAREN error RPAREN'
2830 # Line number reported from LPAREN token
2831 print("Bad function call at line", p.lineno(2))
2832 </pre>
2833 </blockquote>
2834
2835 <p>
2836 Similarly, you may get better parsing performance if you only
2837 selectively propagate line number information where it's needed using
2838 the <tt>p.set_lineno()</tt> method. For example:
2839
2840 <blockquote>
2841 <pre>
2842 def p_fname(p):
2843 'fname : ID'
2844 p[0] = p[1]
2845 p.set_lineno(0,p.lineno(1))
2846 </pre>
2847 </blockquote>
2848
2849 PLY doesn't retain line number information from rules that have already been
2850 parsed. If you are building an abstract syntax tree and need to have line numbers,
2851 you should make sure that the line numbers appear in the tree itself.
2852
2853 <H3><a name="ply_nn34"></a>6.10 AST Construction</H3>
2854
2855
2856 <tt>yacc.py</tt> provides no special functions for constructing an
2857 abstract syntax tree. However, such construction is easy enough to do
2858 on your own.
2859
2860 <p>A minimal way to construct a tree is to simply create and
2861 propagate a tuple or list in each grammar rule function. There
2862 are many possible ways to do this, but one example would be something
2863 like this:
2864
2865 <blockquote>
2866 <pre>
2867 def p_expression_binop(p):
2868 '''expression : expression PLUS expression
2869 | expression MINUS expression
2870 | expression TIMES expression
2871 | expression DIVIDE expression'''
2872
2873 p[0] = ('binary-expression',p[2],p[1],p[3])
2874
2875 def p_expression_group(p):
2876 'expression : LPAREN expression RPAREN'
2877 p[0] = ('group-expression',p[2])
2878
2879 def p_expression_number(p):
2880 'expression : NUMBER'
2881 p[0] = ('number-expression',p[1])
2882 </pre>
2883 </blockquote>
2884
2885 <p>
2886 Another approach is to create a set of data structure for different
2887 kinds of abstract syntax tree nodes and assign nodes to <tt>p[0]</tt>
2888 in each rule. For example:
2889
2890 <blockquote>
2891 <pre>
2892 class Expr: pass
2893
2894 class BinOp(Expr):
2895 def __init__(self,left,op,right):
2896 self.type = "binop"
2897 self.left = left
2898 self.right = right
2899 self.op = op
2900
2901 class Number(Expr):
2902 def __init__(self,value):
2903 self.type = "number"
2904 self.value = value
2905
2906 def p_expression_binop(p):
2907 '''expression : expression PLUS expression
2908 | expression MINUS expression
2909 | expression TIMES expression
2910 | expression DIVIDE expression'''
2911
2912 p[0] = BinOp(p[1],p[2],p[3])
2913
2914 def p_expression_group(p):
2915 'expression : LPAREN expression RPAREN'
2916 p[0] = p[2]
2917
2918 def p_expression_number(p):
2919 'expression : NUMBER'
2920 p[0] = Number(p[1])
2921 </pre>
2922 </blockquote>
2923
2924 The advantage to this approach is that it may make it easier to attach more complicated
2925 semantics, type checking, code generation, and other features to the node classes.
2926
2927 <p>
2928 To simplify tree traversal, it may make sense to pick a very generic
2929 tree structure for your parse tree nodes. For example:
2930
2931 <blockquote>
2932 <pre>
2933 class Node:
2934 def __init__(self,type,children=None,leaf=None):
2935 self.type = type
2936 if children:
2937 self.children = children
2938 else:
2939 self.children = [ ]
2940 self.leaf = leaf
2941
2942 def p_expression_binop(p):
2943 '''expression : expression PLUS expression
2944 | expression MINUS expression
2945 | expression TIMES expression
2946 | expression DIVIDE expression'''
2947
2948 p[0] = Node("binop", [p[1],p[3]], p[2])
2949 </pre>
2950 </blockquote>
2951
2952 <H3><a name="ply_nn35"></a>6.11 Embedded Actions</H3>
2953
2954
2955 The parsing technique used by yacc only allows actions to be executed at the end of a rule. For example,
2956 suppose you have a rule like this:
2957
2958 <blockquote>
2959 <pre>
2960 def p_foo(p):
2961 "foo : A B C D"
2962 print("Parsed a foo", p[1],p[2],p[3],p[4])
2963 </pre>
2964 </blockquote>
2965
2966 <p>
2967 In this case, the supplied action code only executes after all of the
2968 symbols <tt>A</tt>, <tt>B</tt>, <tt>C</tt>, and <tt>D</tt> have been
2969 parsed. Sometimes, however, it is useful to execute small code
2970 fragments during intermediate stages of parsing. For example, suppose
2971 you wanted to perform some action immediately after <tt>A</tt> has
2972 been parsed. To do this, write an empty rule like this:
2973
2974 <blockquote>
2975 <pre>
2976 def p_foo(p):
2977 "foo : A seen_A B C D"
2978 print("Parsed a foo", p[1],p[3],p[4],p[5])
2979 print("seen_A returned", p[2])
2980
2981 def p_seen_A(p):
2982 "seen_A :"
2983 print("Saw an A = ", p[-1]) # Access grammar symbol to left
2984 p[0] = some_value # Assign value to seen_A
2985
2986 </pre>
2987 </blockquote>
2988
2989 <p>
2990 In this example, the empty <tt>seen_A</tt> rule executes immediately
2991 after <tt>A</tt> is shifted onto the parsing stack. Within this
2992 rule, <tt>p[-1]</tt> refers to the symbol on the stack that appears
2993 immediately to the left of the <tt>seen_A</tt> symbol. In this case,
2994 it would be the value of <tt>A</tt> in the <tt>foo</tt> rule
2995 immediately above. Like other rules, a value can be returned from an
2996 embedded action by simply assigning it to <tt>p[0]</tt>
2997
2998 <p>
2999 The use of embedded actions can sometimes introduce extra shift/reduce conflicts. For example,
3000 this grammar has no conflicts:
3001
3002 <blockquote>
3003 <pre>
3004 def p_foo(p):
3005 """foo : abcd
3006 | abcx"""
3007
3008 def p_abcd(p):
3009 "abcd : A B C D"
3010
3011 def p_abcx(p):
3012 "abcx : A B C X"
3013 </pre>
3014 </blockquote>
3015
3016 However, if you insert an embedded action into one of the rules like this,
3017
3018 <blockquote>
3019 <pre>
3020 def p_foo(p):
3021 """foo : abcd
3022 | abcx"""
3023
3024 def p_abcd(p):
3025 "abcd : A B C D"
3026
3027 def p_abcx(p):
3028 "abcx : A B seen_AB C X"
3029
3030 def p_seen_AB(p):
3031 "seen_AB :"
3032 </pre>
3033 </blockquote>
3034
3035 an extra shift-reduce conflict will be introduced. This conflict is
3036 caused by the fact that the same symbol <tt>C</tt> appears next in
3037 both the <tt>abcd</tt> and <tt>abcx</tt> rules. The parser can either
3038 shift the symbol (<tt>abcd</tt> rule) or reduce the empty
3039 rule <tt>seen_AB</tt> (<tt>abcx</tt> rule).
3040
3041 <p>
3042 A common use of embedded rules is to control other aspects of parsing
3043 such as scoping of local variables. For example, if you were parsing C code, you might
3044 write code like this:
3045
3046 <blockquote>
3047 <pre>
3048 def p_statements_block(p):
3049 "statements: LBRACE new_scope statements RBRACE"""
3050 # Action code
3051 ...
3052 pop_scope() # Return to previous scope
3053
3054 def p_new_scope(p):
3055 "new_scope :"
3056 # Create a new scope for local variables
3057 s = new_scope()
3058 push_scope(s)
3059 ...
3060 </pre>
3061 </blockquote>
3062
3063 In this case, the embedded action <tt>new_scope</tt> executes
3064 immediately after a <tt>LBRACE</tt> (<tt>{</tt>) symbol is parsed.
3065 This might adjust internal symbol tables and other aspects of the
3066 parser. Upon completion of the rule <tt>statements_block</tt>, code
3067 might undo the operations performed in the embedded action
3068 (e.g., <tt>pop_scope()</tt>).
3069
3070 <H3><a name="ply_nn36"></a>6.12 Miscellaneous Yacc Notes</H3>
3071
3072
3073 <ul>
3074
3075 <li>By default, <tt>yacc.py</tt> relies on <tt>lex.py</tt> for tokenizing. However, an alternative tokenizer
3076 can be supplied as follows:
3077
3078 <blockquote>
3079 <pre>
3080 parser = yacc.parse(lexer=x)
3081 </pre>
3082 </blockquote>
3083 in this case, <tt>x</tt> must be a Lexer object that minimally has a <tt>x.token()</tt> method for retrieving the next
3084 token. If an input string is given to <tt>yacc.parse()</tt>, the lexer must also have an <tt>x.input()</tt> method.
3085
3086 <p>
3087 <li>By default, the yacc generates tables in debugging mode (which produces the parser.out file and other output).
3088 To disable this, use
3089
3090 <blockquote>
3091 <pre>
3092 parser = yacc.yacc(debug=False)
3093 </pre>
3094 </blockquote>
3095
3096 <p>
3097 <li>To change the name of the <tt>parsetab.py</tt> file, use:
3098
3099 <blockquote>
3100 <pre>
3101 parser = yacc.yacc(tabmodule="foo")
3102 </pre>
3103 </blockquote>
3104
3105 <P>
3106 Normally, the <tt>parsetab.py</tt> file is placed into the same directory as
3107 the module where the parser is defined. If you want it to go somewhere else, you can
3108 given an absolute package name for <tt>tabmodule</tt> instead. In that case, the
3109 tables will be written there.
3110 </p>
3111
3112 <p>
3113 <li>To change the directory in which the <tt>parsetab.py</tt> file (and other output files) are written, use:
3114 <blockquote>
3115 <pre>
3116 parser = yacc.yacc(tabmodule="foo",outputdir="somedirectory")
3117 </pre>
3118 </blockquote>
3119
3120 <p>
3121 Note: Be aware that unless the directory specified is also on Python's path (<tt>sys.path</tt>), subsequent
3122 imports of the table file will fail. As a general rule, it's better to specify a destination using the
3123 <tt>tabmodule</tt> argument instead of directly specifying a directory using the <tt>outputdir</tt> argument.
3124 </p>
3125
3126 <p>
3127 <li>To prevent yacc from generating any kind of parser table file, use:
3128 <blockquote>
3129 <pre>
3130 parser = yacc.yacc(write_tables=False)
3131 </pre>
3132 </blockquote>
3133
3134 Note: If you disable table generation, yacc() will regenerate the parsing tables
3135 each time it runs (which may take awhile depending on how large your grammar is).
3136
3137 <P>
3138 <li>To print copious amounts of debugging during parsing, use:
3139
3140 <blockquote>
3141 <pre>
3142 parser = yacc.parse(debug=True)
3143 </pre>
3144 </blockquote>
3145
3146 <p>
3147 <li>Since the generation of the LALR tables is relatively expensive, previously generated tables are
3148 cached and reused if possible. The decision to regenerate the tables is determined by taking an MD5
3149 checksum of all grammar rules and precedence rules. Only in the event of a mismatch are the tables regenerated.
3150
3151 <p>
3152 It should be noted that table generation is reasonably efficient, even for grammars that involve around a 100 rules
3153 and several hundred states. </li>
3154
3155
3156 <p>
3157 <li>Since LR parsing is driven by tables, the performance of the parser is largely independent of the
3158 size of the grammar. The biggest bottlenecks will be the lexer and the complexity of the code in your grammar rules.
3159 </li>
3160 </p>
3161
3162 <p>
3163 <li><tt>yacc()</tt> also allows parsers to be defined as classes and as closures (see the section on alternative specification of
3164 lexers). However, be aware that only one parser may be defined in a single module (source file). There are various
3165 error checks and validation steps that may issue confusing error messages if you try to define multiple parsers
3166 in the same source file.
3167 </li>
3168 </p>
3169
3170 </ul>
3171 </p>
3172
3173
3174 <H2><a name="ply_nn37"></a>7. Multiple Parsers and Lexers</H2>
3175
3176
3177 In advanced parsing applications, you may want to have multiple
3178 parsers and lexers.
3179
3180 <p>
3181 As a general rules this isn't a problem. However, to make it work,
3182 you need to carefully make sure everything gets hooked up correctly.
3183 First, make sure you save the objects returned by <tt>lex()</tt> and
3184 <tt>yacc()</tt>. For example:
3185
3186 <blockquote>
3187 <pre>
3188 lexer = lex.lex() # Return lexer object
3189 parser = yacc.yacc() # Return parser object
3190 </pre>
3191 </blockquote>
3192
3193 Next, when parsing, make sure you give the <tt>parse()</tt> function a reference to the lexer it
3194 should be using. For example:
3195
3196 <blockquote>
3197 <pre>
3198 parser.parse(text,lexer=lexer)
3199 </pre>
3200 </blockquote>
3201
3202 If you forget to do this, the parser will use the last lexer
3203 created--which is not always what you want.
3204
3205 <p>
3206 Within lexer and parser rule functions, these objects are also
3207 available. In the lexer, the "lexer" attribute of a token refers to
3208 the lexer object that triggered the rule. For example:
3209
3210 <blockquote>
3211 <pre>
3212 def t_NUMBER(t):
3213 r'\d+'
3214 ...
3215 print(t.lexer) # Show lexer object
3216 </pre>
3217 </blockquote>
3218
3219 In the parser, the "lexer" and "parser" attributes refer to the lexer
3220 and parser objects respectively.
3221
3222 <blockquote>
3223 <pre>
3224 def p_expr_plus(p):
3225 'expr : expr PLUS expr'
3226 ...
3227 print(p.parser) # Show parser object
3228 print(p.lexer) # Show lexer object
3229 </pre>
3230 </blockquote>
3231
3232 If necessary, arbitrary attributes can be attached to the lexer or parser object.
3233 For example, if you wanted to have different parsing modes, you could attach a mode
3234 attribute to the parser object and look at it later.
3235
3236 <H2><a name="ply_nn38"></a>8. Using Python's Optimized Mode</H2>
3237
3238
3239 Because PLY uses information from doc-strings, parsing and lexing
3240 information must be gathered while running the Python interpreter in
3241 normal mode (i.e., not with the -O or -OO options). However, if you
3242 specify optimized mode like this:
3243
3244 <blockquote>
3245 <pre>
3246 lex.lex(optimize=1)
3247 yacc.yacc(optimize=1)
3248 </pre>
3249 </blockquote>
3250
3251 then PLY can later be used when Python runs in optimized mode. To make this work,
3252 make sure you first run Python in normal mode. Once the lexing and parsing tables
3253 have been generated the first time, run Python in optimized mode. PLY will use
3254 the tables without the need for doc strings.
3255
3256 <p>
3257 Beware: running PLY in optimized mode disables a lot of error
3258 checking. You should only do this when your project has stabilized
3259 and you don't need to do any debugging. One of the purposes of
3260 optimized mode is to substantially decrease the startup time of
3261 your compiler (by assuming that everything is already properly
3262 specified and works).
3263
3264 <H2><a name="ply_nn44"></a>9. Advanced Debugging</H2>
3265
3266
3267 <p>
3268 Debugging a compiler is typically not an easy task. PLY provides some
3269 advanced diagostic capabilities through the use of Python's
3270 <tt>logging</tt> module. The next two sections describe this:
3271
3272 <H3><a name="ply_nn45"></a>9.1 Debugging the lex() and yacc() commands</H3>
3273
3274
3275 <p>
3276 Both the <tt>lex()</tt> and <tt>yacc()</tt> commands have a debugging
3277 mode that can be enabled using the <tt>debug</tt> flag. For example:
3278
3279 <blockquote>
3280 <pre>
3281 lex.lex(debug=True)
3282 yacc.yacc(debug=True)
3283 </pre>
3284 </blockquote>
3285
3286 Normally, the output produced by debugging is routed to either
3287 standard error or, in the case of <tt>yacc()</tt>, to a file
3288 <tt>parser.out</tt>. This output can be more carefully controlled
3289 by supplying a logging object. Here is an example that adds
3290 information about where different debugging messages are coming from:
3291
3292 <blockquote>
3293 <pre>
3294 # Set up a logging object
3295 import logging
3296 logging.basicConfig(
3297 level = logging.DEBUG,
3298 filename = "parselog.txt",
3299 filemode = "w",
3300 format = "%(filename)10s:%(lineno)4d:%(message)s"
3301 )
3302 log = logging.getLogger()
3303
3304 lex.lex(debug=True,debuglog=log)
3305 yacc.yacc(debug=True,debuglog=log)
3306 </pre>
3307 </blockquote>
3308
3309 If you supply a custom logger, the amount of debugging
3310 information produced can be controlled by setting the logging level.
3311 Typically, debugging messages are either issued at the <tt>DEBUG</tt>,
3312 <tt>INFO</tt>, or <tt>WARNING</tt> levels.
3313
3314 <p>
3315 PLY's error messages and warnings are also produced using the logging
3316 interface. This can be controlled by passing a logging object
3317 using the <tt>errorlog</tt> parameter.
3318
3319 <blockquote>
3320 <pre>
3321 lex.lex(errorlog=log)
3322 yacc.yacc(errorlog=log)
3323 </pre>
3324 </blockquote>
3325
3326 If you want to completely silence warnings, you can either pass in a
3327 logging object with an appropriate filter level or use the <tt>NullLogger</tt>
3328 object defined in either <tt>lex</tt> or <tt>yacc</tt>. For example:
3329
3330 <blockquote>
3331 <pre>
3332 yacc.yacc(errorlog=yacc.NullLogger())
3333 </pre>
3334 </blockquote>
3335
3336 <H3><a name="ply_nn46"></a>9.2 Run-time Debugging</H3>
3337
3338
3339 <p>
3340 To enable run-time debugging of a parser, use the <tt>debug</tt> option to parse. This
3341 option can either be an integer (which simply turns debugging on or off) or an instance
3342 of a logger object. For example:
3343
3344 <blockquote>
3345 <pre>
3346 log = logging.getLogger()
3347 parser.parse(input,debug=log)
3348 </pre>
3349 </blockquote>
3350
3351 If a logging object is passed, you can use its filtering level to control how much
3352 output gets generated. The <tt>INFO</tt> level is used to produce information
3353 about rule reductions. The <tt>DEBUG</tt> level will show information about the
3354 parsing stack, token shifts, and other details. The <tt>ERROR</tt> level shows information
3355 related to parsing errors.
3356
3357 <p>
3358 For very complicated problems, you should pass in a logging object that
3359 redirects to a file where you can more easily inspect the output after
3360 execution.
3361
3362 <H2><a name="ply_nn49"></a>10. Packaging Advice</H2>
3363
3364
3365 <p>
3366 If you are distributing a package that makes use of PLY, you should
3367 spend a few moments thinking about how you want to handle the files
3368 that are automatically generated. For example, the <tt>parsetab.py</tt>
3369 file generated by the <tt>yacc()</tt> function.</p>
3370
3371 <p>
3372 Starting in PLY-3.6, the table files are created in the same directory
3373 as the file where a parser is defined. This means that the
3374 <tt>parsetab.py</tt> file will live side-by-side with your parser
3375 specification. In terms of packaging, this is probably the easiest and
3376 most sane approach to manage. You don't need to give <tt>yacc()</tt>
3377 any extra arguments and it should just "work."</p>
3378
3379 <p>
3380 One concern is the management of the <tt>parsetab.py</tt> file itself.
3381 For example, should you have this file checked into version control (e.g., GitHub),
3382 should it be included in a package distribution as a normal file, or should you
3383 just let PLY generate it automatically for the user when they install your package?
3384 </p>
3385
3386 <p>
3387 As of PLY-3.6, the <tt>parsetab.py</tt> file should be compatible across all versions
3388 of Python including Python 2 and 3. Thus, a table file generated in Python 2 should
3389 work fine if it's used on Python 3. Because of this, it should be relatively harmless
3390 to distribute the <tt>parsetab.py</tt> file yourself if you need to. However, be aware
3391 that older/newer versions of PLY may try to regenerate the file if there are future
3392 enhancements or changes to its format.
3393 </p>
3394
3395 <p>
3396 To make the generation of table files easier for the purposes of installation, you might
3397 way to make your parser files executable using the <tt>-m</tt> option or similar. For
3398 example:
3399 </p>
3400
3401 <blockquote>
3402 <pre>
3403 # calc.py
3404 ...
3405 ...
3406 def make_parser():
3407 parser = yacc.yacc()
3408 return parser
3409
3410 if __name__ == '__main__':
3411 make_parser()
3412 </pre>
3413 </blockquote>
3414
3415 <p>
3416 You can then use a command such as <tt>python -m calc.py</tt> to generate the tables. Alternatively,
3417 a <tt>setup.py</tt> script, can import the module and use <tt>make_parser()</tt> to create the
3418 parsing tables.
3419 </p>
3420
3421 <p>
3422 If you're willing to sacrifice a little startup time, you can also instruct PLY to never write the
3423 tables using <tt>yacc.yacc(write_tables=False, debug=False)</tt>. In this mode, PLY will regenerate
3424 the parsing tables from scratch each time. For a small grammar, you probably won't notice. For a
3425 large grammar, you should probably reconsider--the parsing tables are meant to dramatically speed up this process.
3426 </p>
3427
3428 <p>
3429 During operation, is is normal for PLY to produce diagnostic error
3430 messages (usually printed to standard error). These are generated
3431 entirely using the <tt>logging</tt> module. If you want to redirect
3432 these messages or silence them, you can provide your own logging
3433 object to <tt>yacc()</tt>. For example:
3434 </p>
3435
3436 <blockquote>
3437 <pre>
3438 import logging
3439 log = logging.getLogger('ply')
3440 ...
3441 parser = yacc.yacc(errorlog=log)
3442 </pre>
3443 </blockquote>
3444
3445 <H2><a name="ply_nn39"></a>11. Where to go from here?</H2>
3446
3447
3448 The <tt>examples</tt> directory of the PLY distribution contains several simple examples. Please consult a
3449 compilers textbook for the theory and underlying implementation details or LR parsing.
3450
3451 </body>
3452 </html>
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