which library has map reduce and how to use it for this case
meInvent bbird
jobmattcon at gmail.com
Sat Jun 11 02:19:40 EDT 2016
there are six operator, and a logic table initial in b variable
aa[b[j][i]]
[aa[b[i][0:1]+b[i][2:3]
are just like vlookup to find output of each operator
acting on first column and second column, second column and third column
, first column and third column
and searching a output columns which is result sum is 27*2
and record the path if succeed,
it record the path and output any path which has result is 27*2 described before
op1(op2(op3(op1(op2(),),op1(op2(),))), op1(op2(),))
there are two cases, first cases b are logic table
later case are for six operators acting on the result column from previous result before recursive call
def DFS(b, deep, maxx, sourceoperators, path):
initlist = []
if deep > 0:
print("deep=", deep)
for aa,bb in itertools.combinations(sourceoperators, 2):
print(aa,bb)
if deep == maxx:
finalresult = []
op1xy = [aa[b[i][0:1]+b[i][1:2]] for i in range(len(b))]
op1yz = [aa[b[i][1:2]+b[i][2:3]] for i in range(len(b))]
op1xz = [aa[b[i][0:1]+b[i][2:3]] for i in range(len(b))]
op2xy = [bb[b[i][0:1]+b[i][1:2]] for i in range(len(b))]
op2yz = [bb[b[i][1:2]+b[i][2:3]] for i in range(len(b))]
op2xz = [bb[b[i][0:1]+b[i][2:3]] for i in range(len(b))]
if sum(op1xy) == 54:
path.append([(deep, aa, b, "xy")])
else:
initlist.append(op1xy)
if sum(op1yz) == 54:
path.append([(deep, aa, b, "yz")])
else:
initlist.append(op1yz)
if sum(op1xz) == 54:
path.append([(deep, aa, b, "xz")])
else:
initlist.append(op1xz)
if sum(op2xy) == 54:
path.append([(deep, bb, b, "xy")])
else:
initlist.append(op2xy)
if sum(op2yz) == 54:
path.append([(deep, bb, b, "yz")])
else:
initlist.append(op2yz)
if sum(op2xz) == 54:
path.append([(deep, bb, b, "xz")])
else:
initlist.append(op2xz)
else:
level = []
for j in range(len(b)):
op1xy = [aa[b[j][i]] for i in range(len(b[j]))]
op2xy = [bb[b[j][i]] for i in range(len(b[j]))]
if sum(op1xy) == 54:
path.append([(deep, aa, b[j], "xy")])
else:
initlist.append(op1xy)
if sum(op2xy) == 54:
path.append([(deep, bb, b[j], "xy")])
else:
initlist.append(op2xy)
level.extend([op1xy, op2xy])
if deep == maxx:
b = []
print("initlist=")
print(len(initlist))
for aaa,bbb in itertools.combinations(initlist, 2):
b.append([str(i)+str(j) for i,j in zip(aaa, bbb)])
if deep > 0:
path2 = DFS(b, deep-1, maxx, sourceoperators, path)
path.append(path2)
return path
path = []
mresult = DFS(b, 2, 2, mylist, path)
On Friday, June 10, 2016 at 10:04:09 PM UTC+8, Michael Selik wrote:
> On Thu, Jun 9, 2016, 9:11 PM Ho Yeung Lee <davidbenny2000 at gmail.com> wrote:
>
> > input are these six operators, output is finding full column of 27
> > elements add together is 54
> >
> > i got memory error when searching this,
> >
> > i have difficulty in understanding map reduce and transforming my program
> > into map reduce problem
> >
>
> Why do you think you need map-reduce?
>
> You'll need to explain the problem in more detail. Instead of talking about
> operators and columns, what is the actual, real-world problem?
>
> >
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