enhance bb tree algorithm
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@ -19,6 +19,15 @@ CELL_HEIGHT = 5
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GRAPH_CONTENTOFFSET_X = 40
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GRAPH_CONTENTOFFSET_Y = 40
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class dbPLinkInputOutputType(object):
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PIN = 0
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POUT = 1
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PLOCAL = 2
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PTARGET = 3
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class dbBLinkInputOutputType(object):
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INPUT = 0
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OUTPUT = 1
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class LinkType(object):
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PLOCAL = 0
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@ -37,9 +46,13 @@ class BBResult(object):
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self.name = name
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self.assistName = assistName
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self.pin = int(pin)
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self.pinData = []
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self.pout = int(pout)
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self.poutData = []
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self.bin = int(bin)
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self.binData = []
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self.bout = int(bout)
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self.boutData = []
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self.x = 0.0
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self.y = 0.0
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self.width = 0.0
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@ -19,7 +19,7 @@ def run():
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# decorate each graph
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for i in graphList:
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(plocal_layer, bbMap, operMap) = buildBB(exportCur, decorateCur, i)
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(plocal_layer, bbMap, operMap) = buildBlock(exportCur, decorateCur, i)
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# give up all change of eexport.db (because no change)
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exportDb.close()
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@ -30,7 +30,7 @@ def initDecorateDb(cur):
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cur.execute("CREATE TABLE graph([graph] INTEGER, [graph_name] TEXT, [width] INTEGER, [height] INTEGER, [index] INTEGER, [belong_to] TEXT);")
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cur.execute("CREATE TABLE info([target] INTEGER, [field] TEXT, [data] TEXT);")
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cur.execute("CREATE TABLE block([belong_to_graph] INETGER, [thisobj] INTEGER, [name] TEXT, [assist_text] TEXT, [pin-pin] INTEGER, [pin-pout] INTEGER, [pin-bin] INTEGER, [pin-bout] INTEGER, [x] REAL, [y] REAL, [width] REAL, [height] REAL, [expandable] INTEGER);")
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cur.execute("CREATE TABLE block([belong_to_graph] INETGER, [thisobj] INTEGER, [name] TEXT, [assist_text] TEXT, [pin-pin] TEXT, [pin-pout] TEXT, [pin-bin] TEXT, [pin-bout] TEXT, [x] REAL, [y] REAL, [width] REAL, [height] REAL, [expandable] INTEGER);")
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cur.execute("CREATE TABLE cell([belong_to_graph] INETGER, [thisobj] INTEGER, [name] TEXT, [assist_text] TEXT, [x] REAL, [y] REAL, [type] INTEGER);")
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cur.execute("CREATE TABLE link([belong_to_graph] INETGER, [thisobj] INTEGER, [delay] INTEGER, [startobj] INTEGER, [endobj] INTEGER, [start_index] INTEGER, [end_index] INTEGER, [x1] REAL, [y1] REAL, [x2] REAL, [y2] REAL);")
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@ -62,13 +62,13 @@ def decorateGraph(exCur, deCur, graph):
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# sub bb
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deCur.execute("INSERT INTO graph VALUES(?, ?, 0, 0, -1, '')", (lines[0], lines[2]))
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def buildBB(exCur, deCur, target):
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def buildBlock(exCur, deCur, target):
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# sort inner bb
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# use current graph input as the start point
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treeRoot = dcv.BBTreeNode(target, -1)
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processedBB = set()
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# layer start from 2, 0 is occupied for pLocal, 1 is occupied for pOper
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arrangedLayer = recursiveBuildBBTree(treeRoot, exCur, deCur, processedBB, 2, 0, target)
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arrangedLayer = recursiveBuildBBTree(treeRoot, exCur, processedBB, 2, 0, target)
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# get no linked bb and place them. linked bb position will be computed following
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# calc each bb's x postion, as for y, calc later
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@ -128,48 +128,27 @@ def buildBB(exCur, deCur, target):
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# write to database and return
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for i in bbResult.keys():
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cache = bbResult[i]
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deCur.execute('INSERT INTO block VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)', (target, i, cache.name, cache.assistName, cache.pin, cache.pout, cache.bin, cache.bout, cache.x, cache.y, cache.width, cache.height, cache.expandable))
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deCur.execute('INSERT INTO block VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)',
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(target, i, cache.name, cache.assistName, cache.pin, cache.pout, cache.bin, cache.bout, cache.x, cache.y, cache.width, cache.height, cache.expandable))
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for i in operResult.keys():
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cache = operResult[i]
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deCur.execute("INSERT INTO block VALUES (?, ?, ?, '', 2, 1, 0, 0, ?, ?, ?, ?, -1)", (target, i, cache.name, cache.x, cache.y, cache.width, cache.height))
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deCur.execute("INSERT INTO block VALUES (?, ?, ?, '', 2, 1, 0, 0, ?, ?, ?, ?, -1)",
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(target, i, cache.name, cache.x, cache.y, cache.width, cache.height))
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return (layer_y[0] - dcv.CELL_HEIGHT, bbResult, operResult)
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def recursiveBuildBBTree(node, exCur, deCur, processedBB, layer, depth, graphId):
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cache = []
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if depth == 0:
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# find bIn
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exCur.execute('SELECT [thisobj] FROM bIn WHERE [belong_to] == ?;', (node.bb,))
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else:
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# find bOut
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exCur.execute('SELECT [thisobj] FROM bOut WHERE [belong_to] == ?;', (node.bb,))
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for i in exCur.fetchall():
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cache.append(i[0])
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if (len(cache) == 0):
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return layer
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def recursiveBuildBBTree(node, exCur, processedBB, layer, depth, graphId):
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realLinkedBB = set()
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# find links
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exCur.execute("SELECT [output] FROM bLink WHERE ([belong_to] == ? AND ([input] IN ({})));".format(','.join(map(lambda x:str(x), cache))), (graphId,))
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cache.clear()
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exCur.execute("SELECT [output_obj] FROM bLink WHERE ([input_obj] == ? AND [input_type] == ? AND [belong_to] = ?) ORDER BY [input_index] ASC;",
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(node.bb, (dcv.dbBLinkInputOutputType.INPUT if depth == 0 else dcv.dbBLinkInputOutputType.OUTPUT), graphId))
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for i in exCur.fetchall():
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cache.append(i[0])
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if (len(cache) == 0):
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return layer
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#find bIn (find in bIn list to omit the line linked to current bb's output)
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exCur.execute("SELECT [belong_to] FROM bIn WHERE [thisobj] IN ({});".format(','.join(map(lambda x:str(x), cache))))
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cache.clear()
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for i in exCur.fetchall():
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cache.append(i[0])
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realLinkedBB.add(i[0])
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if (len(cache) == 0):
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return layer
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# ignore duplicated bb
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realLinkedBB = set(cache)
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# calc need processed bb first
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# and register all gotten bb. for preventing infinity resursive func and keep bb tree structure
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realLinkedBB = realLinkedBB - processedBB
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@ -4,7 +4,7 @@ import os
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import sys
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# debug use
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# os.remove('decorate.db')
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os.remove('decorate.db')
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print('Super Script View')
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if not os.path.isfile("decorate.db"):
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@ -18,4 +18,4 @@ if not os.path.isfile("decorate.db"):
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print('Decorated database generating done.')
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# todo: start flask
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ServerCore.run()
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# ServerCore.run()
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