fixed subsequent_renames. Now handles cycling renames and completely futile ones like renaming attribute into itself
git-svn-id: http://galileo.dmi.unict.it/svn/relational/trunk@176 014f5005-505e-4b48-8d0a-63407b615a7c
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@ -160,14 +160,65 @@ def selection_inside_projection(n):
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changes+=selection_inside_projection(n.left)
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return changes
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def futile_renames(n):
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'''This function removes redoundant subsequent renames'''
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#TODO document in the wiki
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changes=0
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if n.name=='ρ':
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#Located two nested renames.
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changes=1
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#Creating a dictionary with the attributes
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_vars={}
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for i in n.prop.split(','):
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q=i.split('➡')
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_vars[q[0].strip()]=q[1].strip()
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#Scans dictionary to locate things like "a->b,b->c" and replace them with "a->c"
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for key in list(_vars.keys()):
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try:
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value=_vars[key]
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except:
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value=None
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if key==value:
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_vars.pop(value) #Removes the unused one
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#Reset prop var
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n.prop=""
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#Generates new prop var
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for i in _vars.items():
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n.prop+="%s➡%s," % (i[0],i[1])
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n.prop=n.prop[:-1] #Removing ending comma
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if len(n.prop)==0: #Nothing to rename, removing the rename op
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n.name=n.child.name
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n.kind=n.child.kind
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if n.kind==optimizer.UNARY:
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n.prop=n.child.prop
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n.child=n.child.child
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elif n.kind==optimizer.BINARY:
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n.left=n.child.left
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n.right=n.child.right
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#recoursive scan
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if n.kind==optimizer.UNARY:
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changes+=futile_renames(n.child)
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elif n.kind==optimizer.BINARY:
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changes+=futile_renames(n.right)
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changes+=futile_renames(n.left)
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return changes
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def subsequent_renames(n):
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'''This function removes redoundant subsequent renames'''
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'''Purges renames like id->id Since it's needed to be performed BEFORE this one
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so it is not in the list with the other optimizations'''
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futile_renames(n)
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changes=0
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if n.name=='ρ' and n.child.name==n.name:
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#Located two nested renames.
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changes=1
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#Joining the attribute into one
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n.prop+=','+n.child.prop
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n.child=n.child.child
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@ -177,13 +228,20 @@ def subsequent_renames(n):
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for i in n.prop.split(','):
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q=i.split('➡')
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_vars[q[0].strip()]=q[1].strip()
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#Scans dictionary to locate things like "a->b,b->c" and replace them with "a->c"
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for i in list(_vars.keys()):
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if _vars[i] in _vars.keys():
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for key in list(_vars.keys()):
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try:
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value=_vars[key]
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except:
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value=None
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if value in _vars.keys():
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if _vars[value]!=key:
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#Double rename on attribute
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_vars[i] = _vars[_vars[i]] #Sets value
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_vars.pop(i) #Removes the unused one
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_vars[key] = _vars[_vars[key]] #Sets value
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_vars.pop(value) #Removes the unused one
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else: #Cycle rename a->b,b->a
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_vars.pop(value) #Removes the unused one
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_vars.pop(key) #Removes the unused one
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#Reset prop var
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n.prop=""
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@ -193,6 +251,16 @@ def subsequent_renames(n):
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n.prop+="%s➡%s," % (i[0],i[1])
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n.prop=n.prop[:-1] #Removing ending comma
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if len(n.prop)==0: #Nothing to rename, removing the rename op
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n.name=n.child.name
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n.kind=n.child.kind
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if n.kind==optimizer.UNARY:
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n.prop=n.child.prop
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n.child=n.child.child
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elif n.kind==optimizer.BINARY:
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n.left=n.child.left
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n.right=n.child.right
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#recoursive scan
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if n.kind==optimizer.UNARY:
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changes+=subsequent_renames(n.child)
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@ -284,8 +284,8 @@ if __name__=="__main__":
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#print n
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#print n.result_format(rels)
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a=general_optimize("ρ i➡index(ρ id➡i (people))")
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a=general_optimize("ρ index➡index(ρ index➡id(ρ index➡index(σ index==3(ρ id➡index (people)))))")
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#a=general_optimize("σ i==2 (σ b>5 (d))")
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#print a
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print a
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#print node(a)
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#print tokenize("(a)")
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