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make_chart_data.py
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make_chart_data.py
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# random,1310720,google_dense_hash_map,45621248,0.344362020493
# random,2621440,glib_hash_table,109867008,1.01163601875
# random,2621440,stl_unordered_map,130715648,1.73484396935
# random,2621440,boost_unordered_map,108380160,1.11585187912
# random,2621440,google_sparse_hash_map,37015552,1.76031804085
# random,2621440,google_dense_hash_map,79175680,0.504401922226
# random,5242880,glib_hash_table,210530304,1.86031603813
# random,5242880,stl_unordered_map,250298368,3.81597208977
# random,5242880,boost_unordered_map,192184320,2.63760495186
# random,5242880,google_sparse_hash_map,62066688,3.93570995331
# random,5242880,google_dense_hash_map,146284544,1.22620105743
# random,10485760,glib_hash_table,411856896,4.16937494278
# random,10485760,stl_unordered_map,490430464,7.91806197166
# random,10485760,boost_unordered_map,359251968,7.52085900307
# random,10485760,google_sparse_hash_map,111902720,8.11318516731
# random,10485760,google_dense_hash_map,280502272,2.32930994034
# random,20971520,glib_hash_table,814510080,8.32456207275
# random,20971520,stl_unordered_map,971583488,16.1606841087
# random,20971520,boost_unordered_map,692441088,24.5845990181
# random,20971520,google_sparse_hash_map,211435520,16.2772600651
# random,20971520,google_dense_hash_map,548937728,4.85360789299
# random,41943040,glib_hash_table,1619816448,90.6313672066
import sys, json
lines = [ line.strip() for line in sys.stdin if line.strip() ]
by_benchtype = {}
for line in lines:
benchtype, nkeys, program, nbytes, runtime = line.split(',')
nkeys = int(nkeys)
nbytes = int(nbytes)
runtime = float(runtime)
by_benchtype.setdefault("%s-runtime" % benchtype, {}).setdefault(program, []).append([nkeys, runtime])
if benchtype.startswith('sequential'):
by_benchtype.setdefault("%s-memory" % benchtype, {}).setdefault(program, []).append([nkeys, nbytes])
proper_names = {
# 'boost_unordered_map': 'Boost 1.38 unordered_map',
'stl_unordered_map': 'llvm unordered_map Apple clang version version 4.1 (tags/Apple/clang-421.11.66) (based on LLVM 3.1svn) std::tr1::unordered_map [const char*]',
'stl_unordered_map_string': 'llvm unordered_map Apple clang version version 4.1 (tags/Apple/clang-421.11.66) (based on LLVM 3.1svn) std::tr1::unordered_map [std::string]',
# 'google_sparse_hash_map': 'Google sparsehash 1.5.2 sparse_hash_map',
# 'google_dense_hash_map': 'Google sparsehash 1.5.2 dense_hash_map',
# 'glib_hash_table': 'Glib 2.22 GHashTable',
# 'qt_qhash': 'Qt 4.5 QHash',
'python_dict': 'Python 2.7.2 (C API) dict',
'perl_hash': 'Perl 5.12.4 built for darwin-thread-multi-2level (C API) hash',
# 'ruby_hash': 'Ruby 1.8.7 (2012-02-08 patchlevel 358) [universal-darwin12.0] (C API) Hash',
'tcl_hash': 'Tcl 8.5 (C API) hash',
'LuaHashMap51': 'Lua 5.1.5 (C API) table (via LuaHashMap)',
'LuaHashMap52': 'Lua 5.2.1 (C API) table (via LuaHashMap)',
}
# 'google_sparse_hash_map',
# 'google_dense_hash_map',
# 'boost_unordered_map',
# 'glib_hash_table',
# 'qt_qhash',
# do them in the desired order to make the legend not overlap the chart data
# too much
program_slugs = [
'stl_unordered_map',
'stl_unordered_map_string',
'python_dict',
# 'ruby_hash',
'perl_hash',
'tcl_hash',
'LuaHashMap51',
'LuaHashMap52',
# 'LuaHashMapJIT',
]
chart_data = {}
for i, (benchtype, programs) in enumerate(by_benchtype.items()):
chart_data[benchtype] = []
for j, program in enumerate(program_slugs):
data = programs[program]
chart_data[benchtype].append({
'label': proper_names[program],
'data': [],
})
for k, (nkeys, value) in enumerate(data):
chart_data[benchtype][-1]['data'].append([nkeys, value])
print 'chart_data = ' + json.dumps(chart_data)