api = factory.create_item( "api", None, None )
api.process_element( doc )
+ # After the XML has been processed, we need to go back and assign
+ # dispatch offsets to the functions that request that their offsets
+ # be assigned by the scripts. Typically this means all functions
+ # that are not part of the ABI.
+
+ for func in api.functionIterateByCategory():
+ if func.assign_offset:
+ func.offset = api.next_offset;
+ api.next_offset += 1
+
doc.freeDoc()
return api
"""
self.undef_list.append(S)
- print """# if (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 3)) && !defined(__CYGWIN__) && !defined(__MINGW32__)
+ print """# if (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 3)) && defined(__ELF__)
# define %s __attribute__((visibility("%s")))
# else
# define %s
return c
+def classify_category(name, number):
+ """Based on the category name and number, select a numerical class for it.
+
+ Categories are divided into four classes numbered 0 through 3. The
+ classes are:
+
+ 0. Core GL versions, sorted by version number.
+ 1. ARB extensions, sorted by extension number.
+ 2. Non-ARB extensions, sorted by extension number.
+ 3. Un-numbered extensions, sorted by extension name.
+ """
+
+ try:
+ core_version = float(name)
+ except Exception,e:
+ core_version = 0.0
+
+ if core_version > 0.0:
+ cat_type = 0
+ key = name
+ elif name.startswith("GL_ARB_") or name.startswith("GLX_ARB_") or name.startswith("WGL_ARB_"):
+ cat_type = 1
+ key = int(number)
+ else:
+ if number != None:
+ cat_type = 2
+ key = int(number)
+ else:
+ cat_type = 3
+ key = name
+
+
+ return [cat_type, key]
+
+
def create_parameter_string(parameters, include_names):
"""Create a parameter string from a list of gl_parameters."""
#if ts == "GLdouble":
# print '/* stack size -> %s = %u (after) */' % (self.name, self.type_expr.get_stack_size())
- self.is_counter = is_attr_true( element, 'counter' )
- self.is_output = is_attr_true( element, 'output' )
+ self.is_client_only = is_attr_true( element, 'client_only' )
+ self.is_counter = is_attr_true( element, 'counter' )
+ self.is_output = is_attr_true( element, 'output' )
# Pixel data has special parameters.
self.initialized = 0
self.images = []
+ self.assign_offset = 0
+
+ self.static_entry_points = []
+
# Track the parameter string (for the function prototype)
# for each entry-point. This is done because some functions
# change their prototype slightly when promoted from extension
name = element.nsProp( "name", None )
alias = element.nsProp( "alias", None )
+ if is_attr_true(element, "static_dispatch"):
+ self.static_entry_points.append(name)
+
self.entry_points.append( name )
if alias:
true_name = alias
self.offset = o
except Exception, e:
self.offset = -1
+ if offset == "assign":
+ self.assign_offset = 1
if not self.name:
return create_parameter_string( self.parameters, 1 )
+ def get_called_parameter_string(self):
+ p_string = ""
+ comma = ""
+
+ for p in self.parameterIterator():
+ p_string = p_string + comma + p.name
+ comma = ", "
+
+ return p_string
+
+
+ def is_static_entry_point(self, name):
+ return name in self.static_entry_points
+
+ def dispatch_name(self):
+ if self.name in self.static_entry_points:
+ return self.name
+ else:
+ return "_dispatch_stub_%u" % (self.offset)
+
+ def static_name(self, name):
+ if name in self.static_entry_points:
+ return name
+ else:
+ return "_dispatch_stub_%u" % (self.offset)
+
class gl_item_factory:
"""Factory to create objects derived from gl_item."""
self.functions_by_name = {}
self.enums_by_name = {}
self.types_by_name = {}
+
self.category_dict = {}
+ self.categories = [{}, {}, {}, {}]
self.factory = factory
+ self.next_offset = 0
+
typeexpr.create_initial_types()
return
cat_name = cat.nsProp( "name", None )
cat_number = cat.nsProp( "number", None )
+ [cat_type, key] = classify_category(cat_name, cat_number)
+ self.categories[cat_type][key] = [cat_name, cat_number]
+
child = cat.children
while child:
if child.type == "element":
func = self.factory.create_item( "function", child, self )
self.functions_by_name[ func_name ] = func
+ if func.offset >= self.next_offset:
+ self.next_offset = func.offset + 1
+
elif child.name == "enum":
enum = self.factory.create_item( "enum", child, self )
return
+ def functionIterateByCategory(self, cat = None):
+ """Iterate over functions by category.
+
+ If cat is None, all known functions are iterated in category
+ order. See classify_category for details of the ordering.
+ Within a category, functions are sorted by name. If cat is
+ not None, then only functions in that category are iterated.
+ """
+ lists = [{}, {}, {}, {}]
+
+ for func in self.functionIterateAll():
+ [cat_name, cat_number] = self.category_dict[func.name]
+
+ if (cat == None) or (cat == cat_name):
+ [func_cat_type, key] = classify_category(cat_name, cat_number)
+
+ if not lists[func_cat_type].has_key(key):
+ lists[func_cat_type][key] = {}
+
+ lists[func_cat_type][key][func.name] = func
+
+
+ functions = []
+ for func_cat_type in range(0,4):
+ keys = lists[func_cat_type].keys()
+ keys.sort()
+
+ for key in keys:
+ names = lists[func_cat_type][key].keys()
+ names.sort()
+
+ for name in names:
+ functions.append(lists[func_cat_type][key][name])
+
+ return functions.__iter__()
+
+
def functionIterateByOffset(self):
max_offset = -1
for func in self.functions_by_name.itervalues():
return list.__iter__()
+ def categoryIterate(self):
+ """Iterate over categories.
+
+ Iterate over all known categories in the order specified by
+ classify_category. Each iterated value is a tuple of the
+ name and number (which may be None) of the category.
+ """
+
+ list = []
+ for cat_type in range(0,4):
+ keys = self.categories[cat_type].keys()
+ keys.sort()
+
+ for key in keys:
+ list.append(self.categories[cat_type][key])
+
+ return list.__iter__()
+
+
def get_category_for_name( self, name ):
if self.category_dict.has_key(name):
return self.category_dict[name]
projects / mesa.git / blobdiff