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Subject: [Boost-commit] svn:boost r56267 - sandbox/numeric_bindings/libs/numeric/bindings/tools
From: rutger_at_[hidden]
Date: 2009-09-17 07:38:29


Author: rutger
Date: 2009-09-17 07:38:29 EDT (Thu, 17 Sep 2009)
New Revision: 56267
URL: http://svn.boost.org/trac/boost/changeset/56267

Log:
bugfix

Text files modified:
   sandbox/numeric_bindings/libs/numeric/bindings/tools/netlib.py | 112 +++++++++++++++++++++------------------
   1 files changed, 61 insertions(+), 51 deletions(-)

Modified: sandbox/numeric_bindings/libs/numeric/bindings/tools/netlib.py
==============================================================================
--- sandbox/numeric_bindings/libs/numeric/bindings/tools/netlib.py (original)
+++ sandbox/numeric_bindings/libs/numeric/bindings/tools/netlib.py 2009-09-17 07:38:29 EDT (Thu, 17 Sep 2009)
@@ -978,64 +978,74 @@
       #
       # Fetch matrix traits such as "the number of columns of A"
       #
- match_matrix_traits = re.compile( '(rows|columns|order)(in|of|the|input|\s)+(matrix|matrices|\s)+' + \
- '([A-Z]+\s+and\s+[A-Z]+|[A-Z]+)', re.M | re.S ).findall( comment_block )
- if len( match_matrix_traits ) == 1:
- if match_matrix_traits[0][0] == 'order':
- #
- # see if the traits are overruled through the template system
- # logically, these come first
- traits_key = subroutine_group_name.lower() + '.' + subroutine_value_type + '.' + argument_name + '.trait_of'
- if my_has_key( traits_key, template_map ):
- argument_properties[ 'trait_type' ] = 'num_columns'
- argument_properties[ 'trait_of' ] = template_map[ my_has_key( traits_key, template_map ) ].strip()
- # PANIC: return none
- # e.g., in tridiagonal case, there is no matrix, but a number of
- # vectors (the diagonals)
- elif not grouped_arguments[ 'by_type' ].has_key( 'matrix' ):
- print "PANIC: returning none"
- # TODO
- # TODO
- return subroutine_name, None
- # TODO
- # TODO
- elif match_matrix_traits[0][3] in grouped_arguments[ 'by_type' ][ 'matrix' ]:
- # because it is both #rows and #columns, we have to choose one
- argument_properties[ 'trait_type' ] = 'num_columns'
- argument_properties[ 'trait_of' ] = match_matrix_traits[0][3].strip()
-
- # if we're not dealing with order
- else:
- references = match_matrix_traits[0][3].split( 'and' )
- for matrix_name in references:
- if matrix_name.strip() in grouped_arguments[ 'by_type' ][ 'matrix' ]:
- argument_properties[ 'trait_type' ] = 'num_' + match_matrix_traits[0][0]
- argument_properties[ 'trait_of' ] = matrix_name.strip()
-
       #
- # Matrix traits detection, continued
- # try to detect stuff like "the number of rows of op( ... )"
+ # First: perhaps there's something in the templating system
       #
+ traits_key = subroutine_group_name.lower() + '.' + subroutine_value_type + '.' + argument_name + '.trait'
+ if my_has_key( traits_key, template_map ):
+ data = template_map[ my_has_key( traits_key, template_map ) ].split(",")
+ argument_properties[ 'trait_type' ] = data[0].strip()
+ argument_properties[ 'trait_of' ] = data[1].strip()
+
+ #
+ # If traits are not user-defined, try the regular detection stuff
+ #
       else:
- match_matrix_traits = re.compile( '(columns|rows)(of|the|matrix|\s)+op\(\s?([A-Z])\s?\)',
- re.M | re.S ).findall( comment_block )
- if len( match_matrix_traits ) > 0 and \
- 'TRANS' +match_matrix_traits[0][2].strip() in argument_map:
- print "CHECK TODO:", match_matrix_traits
- argument_properties[ 'trait_type' ] = 'trans_num_' + match_matrix_traits[0][0]
- argument_properties[ 'trait_of' ] = [ 'TRANS' + match_matrix_traits[0][2].strip(), \
- match_matrix_traits[0][2].strip() ]
+ #
+ # Try to detect fastest cases first (cheapest traits)
+ #
+ match_matrix_traits = re.compile( '(rows|columns|order)(in|of|the|input|\s)+(matrix|matrices|\s)+' + \
+ '([A-Z]+\s+and\s+[A-Z]+|[A-Z]+)', re.M | re.S ).findall( comment_block )
+ if len( match_matrix_traits ) == 1:
+ if match_matrix_traits[0][0] == 'order':
+ #
+ # see if the traits are overruled through the template system
+ # logically, these come first
+ traits_key = subroutine_group_name.lower() + '.' + subroutine_value_type + '.' + argument_name + '.trait_of'
+ if my_has_key( traits_key, template_map ):
+ argument_properties[ 'trait_type' ] = 'num_columns'
+ argument_properties[ 'trait_of' ] = template_map[ my_has_key( traits_key, template_map ) ].strip()
+ # PANIC: return none
+ # e.g., in tridiagonal case, there is no matrix, but a number of
+ # vectors (the diagonals)
+ elif not grouped_arguments[ 'by_type' ].has_key( 'matrix' ):
+ print "PANIC: returning none"
+ # TODO
+ # TODO
+ return subroutine_name, None
+ # TODO
+ # TODO
+ elif match_matrix_traits[0][3] in grouped_arguments[ 'by_type' ][ 'matrix' ]:
+ # because it is both #rows and #columns, we have to choose one
+ argument_properties[ 'trait_type' ] = 'num_columns'
+ argument_properties[ 'trait_of' ] = match_matrix_traits[0][3].strip()
+
+ # if we're not dealing with order
+ else:
+ references = match_matrix_traits[0][3].split( 'and' )
+ for matrix_name in references:
+ if matrix_name.strip() in grouped_arguments[ 'by_type' ][ 'matrix' ]:
+ argument_properties[ 'trait_type' ] = 'num_' + match_matrix_traits[0][0]
+ argument_properties[ 'trait_of' ] = matrix_name.strip()
 
         #
- # Fallback for previous two cases
- # if we have found no matches .. perhaps there's something in the templating system
+ # Matrix traits detection, continued
         #
         else:
- traits_key = subroutine_group_name.lower() + '.' + subroutine_value_type + '.' + argument_name + '.trait'
- if my_has_key( traits_key, template_map ):
- data = template_map[ my_has_key( traits_key, template_map ) ].split(",")
- argument_properties[ 'trait_type' ] = data[0].strip()
- argument_properties[ 'trait_of' ] = data[1].strip()
+ #
+ # try to detect stuff like "the number of rows of op( ... )"
+ # This required testing some variable (like transa, transb), and should come
+ # later than the regular case
+ #
+ match_matrix_traits = re.compile( '(columns|rows)(of|the|matrix|\s)+op\(\s?([A-Z])\s?\)',
+ re.M | re.S ).findall( comment_block )
+ if len( match_matrix_traits ) > 0 and \
+ 'TRANS' +match_matrix_traits[0][2].strip() in argument_map:
+ print "CHECK TODO:", match_matrix_traits
+ argument_properties[ 'trait_type' ] = 'trans_num_' + match_matrix_traits[0][0]
+ argument_properties[ 'trait_of' ] = [ 'TRANS' + match_matrix_traits[0][2].strip(), \
+ match_matrix_traits[0][2].strip() ]
+
 
       #
       # Fetch array traits, such as "the length of the array WORK"


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