From bdddb29b6450b630eca50da25eb62f9f9ea9b46b Mon Sep 17 00:00:00 2001 From: Salvo 'LtWorf' Tomaselli Date: Wed, 11 Nov 2015 16:36:14 +0100 Subject: [PATCH] Removed test code to run the optimizer interactively --- relational/optimizer.py | 46 ----------------------------------------- 1 file changed, 46 deletions(-) diff --git a/relational/optimizer.py b/relational/optimizer.py index 84872c2..d12cefc 100644 --- a/relational/optimizer.py +++ b/relational/optimizer.py @@ -100,49 +100,3 @@ def general_optimize(expression): Return value: this will return an optimized version of the expression''' return optimize_all(expression, None, specific=False, general=True) - -if __name__ == "__main__": - # n=node(u"((a ᑌ b) - c ᑌ d) - b") - # n=node(u"π a,b (d-a*b)") - - # print n.__str__() - # a= tokenize("(a - (a ᑌ b) * π a,b (a-b)) - ρ 123 (a)") - # a= tokenize(u"π a,b (a*b)") - # a=tokenize("(a-b*c)*(b-c)") - - import relation - import optimizations - - '''rels={} - rels["P1"]= relation.relation("/home/salvo/dev/relational/trunk/samples/people.csv") - rels["P2"]= relation.relation("/home/salvo/dev/relational/trunk/samples/people.csv") - rels["R1"]= relation.relation("/home/salvo/dev/relational/trunk/samples/person_room.csv") - rels["R2"]= relation.relation("/home/salvo/dev/relational/trunk/samples/person_room.csv") - rels["D1"]= relation.relation("/home/salvo/dev/relational/trunk/samples/dates.csv") - rels["S1"]= relation.relation("/home/salvo/dev/relational/trunk/samples/skillo.csv") - print rels''' - n = tree(u"π indice,qq,name (ρ age➡qq,id➡indice (P1-P2))") - # n=tree("σ id==3 and indice==2 and name==5 or name<2(P1 * S1)") - print (n) - print (n.toPython()) - - # print optimizations.selection_and_product(n,rels) - - ''' - σ skill=='C' (π id,name,chief,age (σ chief==i and age>a (ρ id➡i,age➡a(π id,age(people))*people)) ᐅᐊ skills) - (π id,name,chief,age (σ chief == i and age > a ((ρ age➡a,id➡i (π id,age (people)))*people)))ᐅᐊ(σ skill == 'C' (skills)) - ''' - - # print specific_optimize("σ name==skill and age>21 and id==indice and - # skill=='C'(P1ᐅᐊS1)",rels) - - # print n - # print n.result_format(rels) - '''σ k (r) ᑌ r with r - σ k (r) ᑎ r with σ k (r)''' - - # a=general_optimize('π indice,qq,name (ρ age➡qq,id➡indice (P1-P2))') - # a=general_optimize("σ i==2 (σ b>5 (d))") - # print a - # print node(a) - # print tokenize("(a)")