data = """0 'a'
1 'b'
2 'c'
1 'd'
2 'e'
2 'f'
3 'g'
1 'h'"""
items = [(int(x.split()[0]),x.split()[1][1:-1]) for x in data.split('\n')]
def blobbify(items):
parents = []
for x,y in items:
item = {'blob':y}
if x<len(parents):
del parents[x:]
if x>len(parents):
raise RuntimeError('Invalid Input')
parents.append(item)
if parents and x>0:
parents[x-1]['under'] = parents[x-1].get('under',[])+[item]
return parents[0]
print blobbify(items)
On Thursday, 30 May 2013 15:58:20 UTC-5, Niphlod wrote:
>
> Hi @all.
> Given this data (ordered list of tuples):
> 0 'a'
> 1 'b'
> 2 'c'
> 1 'd'
> 2 'e'
> 2 'f'
> 3 'g'
> 1 'h'
>
>
> the first value is "how many level should I go down", the second is the
> actual data.
> Every row's first value has a following first value that is:
> - equal to previous
> - previous + 1
> - less than previous (up to 0)
>
> My spider senses kinda suggest me that it's enough to make a nested dict
> like
>
> Surely it's easy to print out something like
> a
> -b
> --c
> -d
> --e
> --f
> ---g
> -h
> but I can't force my powers to produce a nice python code out of this.
> If you don't like nested dicts, a nested tuple, or a nested list are fine
> too. They just need to be easily iterable, top-down, e.g.
> {
> 'blob' : 'a',
> 'under' : [
> {'blob' : 'b',
> 'under' : [
> {'blob' : 'c'}
> ]
> },
> {'blob' : 'd',
> 'under' : [
> {'blob' : 'e'},
> {'blob' : 'f',
> 'under' : [
> {'blob' : 'g' }
> ]
> }
> ]
> },
> {'blob' : 'f' }
> ]
> }
>
>
> Someone cares to enjoy a little bit ? ^_^
>
> Feel free to ask any questions.
>
>
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