Few solutions, not much tested:
data = """{None: ['User-ID', 'Count']}
{None: ['576460847178667334', '1']}
{None: ['576460847178632334', '8']}"""
lines = iter(data.splitlines())
lines.next()
identity_table = "".join(map(chr, xrange(256)))
result = {}
for line in lines:
parts = line.translate(identity_table, "'[]{},").split()
key, val = map(int, parts[1:])
assert key not in result
result[key] = val
print result
(With Python 3 finally that identity_table can be replaced by None)
# --------------------------------------
import re
patt = re.compile(r"(\d+).+?(\d+)")
lines = iter(data.splitlines())
lines.next()
result = {}
for line in lines:
key, val = map(int, patt.search(line).groups())
assert key not in result
result[key] = val
print result
# --------------------------------------
from itertools import groupby
lines = iter(data.splitlines())
lines.next()
result = {}
for line in lines:
key, val = (int("".join(g)) for h,g in groupby(line,
key=str.isdigit) if h)
assert key not in result
result[key] = val
print result
Bye,
bearophile
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