bigtable benchmark

A simple brute force generation of a 10 columns x 1000 rows table,
inspired from the bigtable benchmark proposed by
Genshi.
For each run, time is averaged over 10 renderings, and the
best time of 4 runs is retained.
All times are in ms.
What you should want is automatic quoting and less time.

(a) Restricted —
qpy 1.7 /
mako 0.2.4 /
genshi 0.5.1
offer no support for restricted execution or sandboxing
(b) manual quoting implies no qpy
(c) xml mode
(d) Tweaked — as close to pure python as possible, entire template is reduced to the single brute expression:
<table>${"".join(["<tr>%s</tr>" % "".join(["<td>%s</td>" % (col) for col in row]) for row in table])}</table>

template and data

The (automatically quoted) evoque template.

template_string = """<table>
$for{ row in table }
<tr>$for{ col in row }<td>${col}</td>$rof</tr>
$rof
</table>
$test{ table=[("a","b","c","d","<escape-me/>","f","g","h","i","j")] }
"""

BASEROW = ("a","b","c","d","<escape-me/>","f","g","h","i","j")
TABLE_DATA = [ BASEROW for x in range(1000) ]