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from __future__ import division, print_function, absolute_import
# progress()
############
import petl as etl
table = etl.dummytable(100000)
table.progress(10000).tocsv('example.csv')
# clock()
#########
import petl as etl
t1 = etl.dummytable(100000)
c1 = etl.clock(t1)
t2 = etl.convert(c1, 'foo', lambda v: v**2)
c2 = etl.clock(t2)
p = etl.progress(c2, 10000)
etl.tocsv(p, 'example.csv')
# time consumed retrieving rows from t1
c1.time
# time consumed retrieving rows from t2
c2.time
# actual time consumed by the convert step
c2.time - c1.time
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