PLY not matching the correct terminal












0















I created a simple parser in PLY that has two rules:




  • when a : comes first a name appears

  • when a = comes first a number appears


Corresponding code:



from ply import lex, yacc

tokens = ['Name', 'Number']

def t_Number(t):
r'[0-9]'
return t

def t_Name(t):
r'[a-zA-Z0-9]'
return t

literals = [':', '=']

def t_error(t):
print("lex error: " + str(t.value[0]))
t.lexer.skip(1)

lex.lex()

def p_name(p):
'''
expression : ':' Name
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))

def p_error(p):
print("yacc error: " + str(p.value))

yacc.yacc()
yacc.parse("=3")
yacc.parse(":a")
yacc.parse(":3")


My expectation is that if it sees a : or = it enters the corresponding rule and tries to match the corresponding terminal. Yet in the third example it matches a Number which should be a Name and then fails.
Afaik the grammar should be context free (which is needed to be parsed), is this the case? Also how would I handle the case when one token is a superset of another token?










share|improve this question























  • Sorry, I misread. There are parser generators which work as you expect but afaik they are all predictive parsers -- like Antlr -- and not bottom-up parsers like Ply or yacc. The logic of bottom-up parsing means that the parser doesn't know which production to pick until it gets to the end. That makes it possible to parse a larger set of languages.

    – rici
    Nov 13 '18 at 16:34











  • “Afaik the grammar should be context free” — Correct, but the lexer isn’t (the input 1 could be either a name and a number). And as rici’s answer explains, PLY performs lexical analysis first.

    – Konrad Rudolph
    Nov 13 '18 at 16:51
















0















I created a simple parser in PLY that has two rules:




  • when a : comes first a name appears

  • when a = comes first a number appears


Corresponding code:



from ply import lex, yacc

tokens = ['Name', 'Number']

def t_Number(t):
r'[0-9]'
return t

def t_Name(t):
r'[a-zA-Z0-9]'
return t

literals = [':', '=']

def t_error(t):
print("lex error: " + str(t.value[0]))
t.lexer.skip(1)

lex.lex()

def p_name(p):
'''
expression : ':' Name
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))

def p_error(p):
print("yacc error: " + str(p.value))

yacc.yacc()
yacc.parse("=3")
yacc.parse(":a")
yacc.parse(":3")


My expectation is that if it sees a : or = it enters the corresponding rule and tries to match the corresponding terminal. Yet in the third example it matches a Number which should be a Name and then fails.
Afaik the grammar should be context free (which is needed to be parsed), is this the case? Also how would I handle the case when one token is a superset of another token?










share|improve this question























  • Sorry, I misread. There are parser generators which work as you expect but afaik they are all predictive parsers -- like Antlr -- and not bottom-up parsers like Ply or yacc. The logic of bottom-up parsing means that the parser doesn't know which production to pick until it gets to the end. That makes it possible to parse a larger set of languages.

    – rici
    Nov 13 '18 at 16:34











  • “Afaik the grammar should be context free” — Correct, but the lexer isn’t (the input 1 could be either a name and a number). And as rici’s answer explains, PLY performs lexical analysis first.

    – Konrad Rudolph
    Nov 13 '18 at 16:51














0












0








0








I created a simple parser in PLY that has two rules:




  • when a : comes first a name appears

  • when a = comes first a number appears


Corresponding code:



from ply import lex, yacc

tokens = ['Name', 'Number']

def t_Number(t):
r'[0-9]'
return t

def t_Name(t):
r'[a-zA-Z0-9]'
return t

literals = [':', '=']

def t_error(t):
print("lex error: " + str(t.value[0]))
t.lexer.skip(1)

lex.lex()

def p_name(p):
'''
expression : ':' Name
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))

def p_error(p):
print("yacc error: " + str(p.value))

yacc.yacc()
yacc.parse("=3")
yacc.parse(":a")
yacc.parse(":3")


My expectation is that if it sees a : or = it enters the corresponding rule and tries to match the corresponding terminal. Yet in the third example it matches a Number which should be a Name and then fails.
Afaik the grammar should be context free (which is needed to be parsed), is this the case? Also how would I handle the case when one token is a superset of another token?










share|improve this question














I created a simple parser in PLY that has two rules:




  • when a : comes first a name appears

  • when a = comes first a number appears


Corresponding code:



from ply import lex, yacc

tokens = ['Name', 'Number']

def t_Number(t):
r'[0-9]'
return t

def t_Name(t):
r'[a-zA-Z0-9]'
return t

literals = [':', '=']

def t_error(t):
print("lex error: " + str(t.value[0]))
t.lexer.skip(1)

lex.lex()

def p_name(p):
'''
expression : ':' Name
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))

def p_error(p):
print("yacc error: " + str(p.value))

yacc.yacc()
yacc.parse("=3")
yacc.parse(":a")
yacc.parse(":3")


My expectation is that if it sees a : or = it enters the corresponding rule and tries to match the corresponding terminal. Yet in the third example it matches a Number which should be a Name and then fails.
Afaik the grammar should be context free (which is needed to be parsed), is this the case? Also how would I handle the case when one token is a superset of another token?







python parsing yacc lex ply






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share|improve this question










asked Nov 13 '18 at 14:10









jklmnnjklmnn

85110




85110













  • Sorry, I misread. There are parser generators which work as you expect but afaik they are all predictive parsers -- like Antlr -- and not bottom-up parsers like Ply or yacc. The logic of bottom-up parsing means that the parser doesn't know which production to pick until it gets to the end. That makes it possible to parse a larger set of languages.

    – rici
    Nov 13 '18 at 16:34











  • “Afaik the grammar should be context free” — Correct, but the lexer isn’t (the input 1 could be either a name and a number). And as rici’s answer explains, PLY performs lexical analysis first.

    – Konrad Rudolph
    Nov 13 '18 at 16:51



















  • Sorry, I misread. There are parser generators which work as you expect but afaik they are all predictive parsers -- like Antlr -- and not bottom-up parsers like Ply or yacc. The logic of bottom-up parsing means that the parser doesn't know which production to pick until it gets to the end. That makes it possible to parse a larger set of languages.

    – rici
    Nov 13 '18 at 16:34











  • “Afaik the grammar should be context free” — Correct, but the lexer isn’t (the input 1 could be either a name and a number). And as rici’s answer explains, PLY performs lexical analysis first.

    – Konrad Rudolph
    Nov 13 '18 at 16:51

















Sorry, I misread. There are parser generators which work as you expect but afaik they are all predictive parsers -- like Antlr -- and not bottom-up parsers like Ply or yacc. The logic of bottom-up parsing means that the parser doesn't know which production to pick until it gets to the end. That makes it possible to parse a larger set of languages.

– rici
Nov 13 '18 at 16:34





Sorry, I misread. There are parser generators which work as you expect but afaik they are all predictive parsers -- like Antlr -- and not bottom-up parsers like Ply or yacc. The logic of bottom-up parsing means that the parser doesn't know which production to pick until it gets to the end. That makes it possible to parse a larger set of languages.

– rici
Nov 13 '18 at 16:34













“Afaik the grammar should be context free” — Correct, but the lexer isn’t (the input 1 could be either a name and a number). And as rici’s answer explains, PLY performs lexical analysis first.

– Konrad Rudolph
Nov 13 '18 at 16:51





“Afaik the grammar should be context free” — Correct, but the lexer isn’t (the input 1 could be either a name and a number). And as rici’s answer explains, PLY performs lexical analysis first.

– Konrad Rudolph
Nov 13 '18 at 16:51












1 Answer
1






active

oldest

votes


















1














Ply tokenises before the grammar is consulted, so the context does not influence the tokenisation.(To be more precise, the parser receives a stream of tokens produced by the lexer. The two processes are interleaved in practice, but they are kept independent.)



You can build context into your lexer, but that gets ugly really fast. (Nonetheless, it is a common strategy.)



Your best bet is to write your lexixal rules to produce the most granular result possible, and then write your grammar to accept all alternatives:



def p_name(p):
'''
expression : ':' Name
expression : ':' Number
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))


That assumes you change your lexical rules to put the most specific pattern first.






share|improve this answer


























  • Thanks for that explanation! I'll try to make my grammar accept more rules (especially with tokens that are a subset of the allowed tokens.

    – jklmnn
    Nov 14 '18 at 10:42











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









1














Ply tokenises before the grammar is consulted, so the context does not influence the tokenisation.(To be more precise, the parser receives a stream of tokens produced by the lexer. The two processes are interleaved in practice, but they are kept independent.)



You can build context into your lexer, but that gets ugly really fast. (Nonetheless, it is a common strategy.)



Your best bet is to write your lexixal rules to produce the most granular result possible, and then write your grammar to accept all alternatives:



def p_name(p):
'''
expression : ':' Name
expression : ':' Number
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))


That assumes you change your lexical rules to put the most specific pattern first.






share|improve this answer


























  • Thanks for that explanation! I'll try to make my grammar accept more rules (especially with tokens that are a subset of the allowed tokens.

    – jklmnn
    Nov 14 '18 at 10:42
















1














Ply tokenises before the grammar is consulted, so the context does not influence the tokenisation.(To be more precise, the parser receives a stream of tokens produced by the lexer. The two processes are interleaved in practice, but they are kept independent.)



You can build context into your lexer, but that gets ugly really fast. (Nonetheless, it is a common strategy.)



Your best bet is to write your lexixal rules to produce the most granular result possible, and then write your grammar to accept all alternatives:



def p_name(p):
'''
expression : ':' Name
expression : ':' Number
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))


That assumes you change your lexical rules to put the most specific pattern first.






share|improve this answer


























  • Thanks for that explanation! I'll try to make my grammar accept more rules (especially with tokens that are a subset of the allowed tokens.

    – jklmnn
    Nov 14 '18 at 10:42














1












1








1







Ply tokenises before the grammar is consulted, so the context does not influence the tokenisation.(To be more precise, the parser receives a stream of tokens produced by the lexer. The two processes are interleaved in practice, but they are kept independent.)



You can build context into your lexer, but that gets ugly really fast. (Nonetheless, it is a common strategy.)



Your best bet is to write your lexixal rules to produce the most granular result possible, and then write your grammar to accept all alternatives:



def p_name(p):
'''
expression : ':' Name
expression : ':' Number
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))


That assumes you change your lexical rules to put the most specific pattern first.






share|improve this answer















Ply tokenises before the grammar is consulted, so the context does not influence the tokenisation.(To be more precise, the parser receives a stream of tokens produced by the lexer. The two processes are interleaved in practice, but they are kept independent.)



You can build context into your lexer, but that gets ugly really fast. (Nonetheless, it is a common strategy.)



Your best bet is to write your lexixal rules to produce the most granular result possible, and then write your grammar to accept all alternatives:



def p_name(p):
'''
expression : ':' Name
expression : ':' Number
'''
print("name: " + str(list(p)))

def p_number(p):
'''
expression : '=' Number
'''
print("number: " + str(list(p)))


That assumes you change your lexical rules to put the most specific pattern first.







share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 13 '18 at 16:48

























answered Nov 13 '18 at 16:27









ricirici

153k19135200




153k19135200













  • Thanks for that explanation! I'll try to make my grammar accept more rules (especially with tokens that are a subset of the allowed tokens.

    – jklmnn
    Nov 14 '18 at 10:42



















  • Thanks for that explanation! I'll try to make my grammar accept more rules (especially with tokens that are a subset of the allowed tokens.

    – jklmnn
    Nov 14 '18 at 10:42

















Thanks for that explanation! I'll try to make my grammar accept more rules (especially with tokens that are a subset of the allowed tokens.

– jklmnn
Nov 14 '18 at 10:42





Thanks for that explanation! I'll try to make my grammar accept more rules (especially with tokens that are a subset of the allowed tokens.

– jklmnn
Nov 14 '18 at 10:42


















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