{
 "ai": {
   "warmup": 2,
   "total_runs": 52,
   "description": "Brute force n-queens solver."
 },
 "bm_chameleon": {
   "total_runs": 10,
   "warmup": 2,
   "description": "Chameleon templating library benchmark",
   "comment": "needs reupdating chameleon"
 },
 "bm_mako": {
   "description": "Mako templating library benchmark",
   "comment": "needs updating",
   "total_runs": 20,
   "warmup": 2
 },
 "bm_dulwich_log": {
   "description": "Pure python git implementation",
   "comment": "needs updating",
   "warmup": 3
 },
 "bm_icbd": {
   "comment": "enable this benchmark"
 },
 "bm_krakatau": {
   "description": "Java decompiler benchmark",
   "total_runs": 60,
   "comment": "look into updating & warmup",
   "warmup": 40
 },
 "bm_mdp": {
   "description": "Some AI ..."
 },
 "pypy_interp": {
   "description": "interpreting py.py",
   "comment": " # XXX UPDATE"
 },
 "chaos": {
   "description": "Creates chaosgame-like fractals"
 },
 "cpython_doc": {
   "description": "Run sphinx over cpython documentation",
   "total_runs": 1,
   "process_runs": 1
 },
 "crypto_pyaes": {
   "description": "A pure python implementation of AES"
 },
 "django": {
   "warmup": 2,
   "total_runs": 52,
   "description": "Uses the Django template system to build a 150x150-cell HTML table."
 },
 "eparse": {
 },
 "fannkuch": {
   "description": "Indexed-access to tiny integer-sequence. The fannkuch benchmark is defined by programs in Performing Lisp Analysis of the FANNKUCH Benchmark, Kenneth R. Anderson and Duane Rettig."
 },
 "gcbench": {
   "total_runs": 5,
   "description": "Classic gcbench"
 },
 "genshi_text": {
   "description": "Genshi template rendering using text, generator heavy"
 },
 "genshi_xml": {
   "description": "Genshi template rendering using XML, generator heavy"
 },
 "go": {
   "description": "A go game computer player AI."
 },
 "hexiom2": {
 },
 "html5lib": {
   "warmup": 0,
   "total_runs": 5,
   "description": "Parses the HTML 5 spec using html5lib."
 },
 "json_bench": {
   "description": "Tests the speed of json encoding"
 },
 "meteor-contest": {
   "description": "Searchs for solutions to shape packing puzzle."
 },
 "nbody_modified": {
   "warmup": 2,
   "total_runs": 52,
   "description": "Double-precision N-body simulation. It models the orbits of Jovian planets, using a simple symplectic-integrator."
 },
 "pidigits": {
   "description": "Computes the digits of PI. Long heavy",
   "total_runs": 5
 },
 "pyflate-fast": {
   "description": "Stand-alone pure-Python DEFLATE (gzip) and bzip2 decoder/decompressor."
 },
 "raytrace-simple": {
   "description": "A raytracer renderer"
 },
 "richards": {
   "warmup": 2,
   "total_runs": 52,
   "description": "Medium-sized language benchmark that simulates the task dispatcher in the kernel of an operating system."
 },
 "rietveld": {
   "warmup": 2,
   "total_runs": 1500,
   "description": "A Django application benchmark."
 },
 "scimark_fft": {
 },
 "scimark_lu": {
 },
 "scimark_montecarlo": {
 },
 "scimark_sor": {
 },
 "scimark_sparsematmult": {
 },
 "slowspitfire": {
   "description": "Uses the Spitfire template system to build a 1000x1000-cell HTML table; it differs from spitfire in that it uses .join(list) instead of cStringIO."
 },
 "spambayes": {
   "description": "Spambayes spam classification filter",
   "warmup": 1,
   "total_runs": 51
 },
 "spectral-norm": {
 },
 "spitfire": {
   "description": "Uses the Spitfire template system to build a 100x100-cell HTML table; it differs from spitfire in that it uses .join(list) instead of cStringIO.",
   "warmup": 2,
   "total_runs": 52
 },
 "spitfire_cstringio": {
   "description": "ses the Spitfire template system to build a 1000x1000-cell HTML table, using the cStringIO module."
 },
 "sympy_expand": {
   "total_runs": 5,
   "description": "Use sympy (pure python symbolic math lib) do to expansion"
 },
 "sympy_integrate": {
   "total_runs": 5,
   "description": "Use sympy (pure python symbolic math lib) do to integration"
 },
 "sympy_str": {
   "total_runs": 5,
   "description": "Use sympy (pure python symbolic math lib) do to str() operation"
 },
 "sympy_sum": {
   "total_runs": 5,
   "description": "Use sympy (pure python symbolic math lib) do to summation"
 },
 "telco": {
   "description": "A small program which is intended to capture the essence of a telephone company billing application, with a realistic balance between Input/Output activity and application calculations."
 },
 "translate": {
   "description": "Translation benchmarks"
 }, 
 "trans2_annotate": {
   "description": "PyPy translation -O2 - annotation"
 },
 "trans2_backendopt": {
   "description": "PyPy translation -O2 - backendopt"
 },
 "trans2_database": {
   "description": "PyPy translation -O2 - C database"
 },
 "trans2_rtype": {
   "description": "PyPy translation -O2 - rtype"
 },
 "trans2_source": {
   "description": "PyPy translation -O2 - C source"
 },
 "twisted_iteration" : {
   "description": "Iterates a Twisted reactor as quickly as possible without doing any work.",
   "total_runs": 65,
   "warmup": 15
 },
 "twisted_names": {
   "description": "Runs a DNS server with Twisted Names and then issues requests to it over loopback UDP.",
   "total_runs": 65,
   "warmup": 15
 },
 "twisted_pb": {
   "description": "Runs a Perspective Broker server with a no-op method and invokes that method over loopback TCP with some strings, dictionaries, and tuples as arguments.",
   "total_runs": 65,
   "warmup": 15
 },
 "twisted_tcp": {
   "description": "Connects one Twised client to one Twisted server over TCP (on the loopback interface) and then writes bytes as fast as it can.",
   "total_runs": 65,
   "warmup": 15
 },
 "twisted_web": {
   "description": "Runs twisted web server and connects through twisted HTTP client",
   "total_runs": 25,
   "warmup": 15
 },
 "pyxl_bench": {
   "description": "Pyxl benchmark"
 },
 "sqlalchemy_benchmark": {
 },
 "sqlalchemy_imperative": {
   "total_runs": 100
 },
 "sqlalchemy_declarative": {
   "total_runs": 30
 },
 "sqlitesynth": {
 }
}