def skypy_main(vector_in, cluster_in):
jar_lib = map(grab,
["http://www.cl.cam.ac.uk/~dgm36/skyhout.jar",
"http://www.cl.cam.ac.uk/~dgm36/mahout-core-0.3.jar",
"http://www.cl.cam.ac.uk/~dgm36/mahout-math-0.3.jar",
"http://www.cl.cam.ac.uk/~dgm36/mahout-collections-0.3.jar",
"http://www.cl.cam.ac.uk/~dgm36/commons-logging-1.1.1.jar",
"http://www.cl.cam.ac.uk/~dgm36/slf4j-api-1.5.8.jar",
"http://www.cl.cam.ac.uk/~dgm36/slf4j-jcl-1.5.8.jar",
"http://www.cl.cam.ac.uk/~dgm36/uncommons-maths-1.2.jar",
"http://www.cl.cam.ac.uk/~dgm36/gson-1.3.jar",
"http://www.cl.cam.ac.uk/~dgm36/hadoop-core-0.20.2.jar"])
def kmeans_iteration(data_chunks, old_clusters, convergenceDelta, num_reducers):
def kmeans_map(input_chunk):
return java("skywriting.examples.skyhout.kmeans.KMeansMapTask",
[input_chunk, old_clusters],
[],
jar_lib,
num_reducers)
def kmeans_reduce(reduce_input):
result = java("skywriting.examples.skyhout.kmeans.KMeansReduceTask",
reduce_input + [old_clusters],
[convergenceDelta],
jar_lib,
2)
return {"cluster" : result[0], "converged" : skypy.deref(result[1])}
new_clusters_and_decisions = mapreduce(data_chunks, kmeans_map, kmeans_reduce, num_reducers)
new_clusters = [x["decision"] for x in new_clusters_and_decisions]
converged = True
for x in new_clusters_and_decisions:
if not x["converged"]:
converged = False
break
return {"converged" : converged, "clusters" : new_clusters[0]}
# TODO: Something about this
input_vectors = skypy.deref_json(grab(vector_in))
input_clusters = (skypy.deref_json(grab(cluster_in)))[0]
r = 1
i = 0
old_clusters = input_clusters
converged = False
while i < 10 and not converged:
result = kmeans_iteration(input_vectors, old_clusters, convergence_delta, r)
converged = result["converged"]
old_clusters = result["clusters"]
i += 1
return old_clusters
def skypy_main(vector_in, cluster_in):
jar_lib = map(grab, [
"http://www.cl.cam.ac.uk/~dgm36/skyhout.jar",
"http://www.cl.cam.ac.uk/~dgm36/mahout-core-0.3.jar",
"http://www.cl.cam.ac.uk/~dgm36/mahout-math-0.3.jar",
"http://www.cl.cam.ac.uk/~dgm36/mahout-collections-0.3.jar",
"http://www.cl.cam.ac.uk/~dgm36/commons-logging-1.1.1.jar",
"http://www.cl.cam.ac.uk/~dgm36/slf4j-api-1.5.8.jar",
"http://www.cl.cam.ac.uk/~dgm36/slf4j-jcl-1.5.8.jar",
"http://www.cl.cam.ac.uk/~dgm36/uncommons-maths-1.2.jar",
"http://www.cl.cam.ac.uk/~dgm36/gson-1.3.jar",
"http://www.cl.cam.ac.uk/~dgm36/hadoop-core-0.20.2.jar"
])
def kmeans_iteration(data_chunks, old_clusters, convergenceDelta,
num_reducers):
def kmeans_map(input_chunk):
return java("skywriting.examples.skyhout.kmeans.KMeansMapTask",
[input_chunk, old_clusters], [], jar_lib, num_reducers)
def kmeans_reduce(reduce_input):
result = java(
"skywriting.examples.skyhout.kmeans.KMeansReduceTask",
reduce_input + [old_clusters], [convergenceDelta], jar_lib, 2)
return {"cluster": result[0], "converged": skypy.deref(result[1])}
new_clusters_and_decisions = mapreduce(data_chunks, kmeans_map,
kmeans_reduce, num_reducers)
new_clusters = [x["decision"] for x in new_clusters_and_decisions]
converged = True
for x in new_clusters_and_decisions:
if not x["converged"]:
converged = False
break
return {"converged": converged, "clusters": new_clusters[0]}
# TODO: Something about this
input_vectors = skypy.deref_json(grab(vector_in))
input_clusters = (skypy.deref_json(grab(cluster_in)))[0]
r = 1
i = 0
old_clusters = input_clusters
converged = False
while i < 10 and not converged:
result = kmeans_iteration(input_vectors, old_clusters,
convergence_delta, r)
converged = result["converged"]
old_clusters = result["clusters"]
i += 1
return old_clusters
def skypy_main():
wc_source = skypy.spawn_exec(
"grab", {
"urls": ["http://www.gutenberg.org/cache/epub/4908/pg4908.html"],
"version": 0
}, 1)
wc_input = skypy.deref_json(wc_source[0]) # Yields a single reference
wc_result = skypy.spawn_exec("stdinout", {
"inputs": [wc_input],
"command_line": ["wc", "-c"]
}, 1)
return skypy.deref_json(wc_result[0])
def skypy_main():
sw_ret = skypy.sync_exec("swi", sw_file_ref=skypy.package_lookup("sw_main"))
sw_str = skypy.deref_json(sw_ret)
return "SW returned: %s" % str(sw_str)
def skypy_main():
wc_source = skypy.sync_exec("grab", {"urls":["http://www.gutenberg.org/cache/epub/4908/pg4908.html"], "version":0}, 1)
wc_input = skypy.deref_json(wc_source[0]) # Yields a single reference
wc_result = skypy.sync_exec("stdinout", {"inputs": [wc_input], "command_line":["wc", "-c"]}, 1)
return skypy.deref_json(wc_result[0])
def grab(url):
ref = (skypy.spawn_exec("grab", {"urls": [url], "version": 0}, 1))[0]
return (skypy.deref_json(ref))
def skypy_main():
sw_ret = skypy.sync_exec("swi",
sw_file_ref=skypy.package_lookup("sw_main"))
sw_str = skypy.deref_json(sw_ret)
return "SW returned: %s" % str(sw_str)
def grab(url):
ref = (skypy.spawn_exec("grab", {"urls": [url], "version": 0}, 1))[0]
return (skypy.deref_json(ref))
def skypy_main():
wc_input = skypy.spawn(lambda: chargen(1000000))
wc_result = skypy.sync_exec("stdinout", {"inputs": [wc_input], "command_line":["wc", "-c"]}, 1)
return skypy.deref_json(wc_result[0])
