def teststats(self):
input = [("testkey", i) for i in xrange(10)]
input = core.itermapred(input, lib.identitymapper, lib.statscombiner)
output = dict(core.itermapred(input, lib.identitymapper, lib.statsreducer))
self.assertEqual(output["testkey"][0], 10) # n
self.assertEqual(output["testkey"][1], 4.5) # mean
self.assertAlmostEqual(output["testkey"][2], 3.02765035409749) # std
def teststats(self):
input = [('testkey', i) for i in xrange(10)]
input = core.itermapred(input, lib.identitymapper, lib.statscombiner)
output = dict(
core.itermapred(input, lib.identitymapper, lib.statsreducer))
self.assertEqual(output['testkey'][0], 10) # n
self.assertEqual(output['testkey'][1], 4.5) # mean
self.assertAlmostEqual(output['testkey'][2], 3.02765035409749) # std
def run(self):
"""Run test"""
it = itermapred(self._input_source, self._mapper, self._reducer)
for output in it:
exp_out = self._output_source.next()
assert output == exp_out, \
"Output {0} did not match expected output: {1}".format(\
output, exp_out)
def run(self):
"""Run test"""
it = itermapred(self._input_source, self._mapper, self._reducer)
for output in it:
exp_out = self._output_source.next()
assert output == exp_out, \
"Output {0} did not match expected output: {1}".format(\
output, exp_out)
def testwordcount(self):
def mapper(key,value):
for word in value.split(): yield word,1
def reducer(key,values):
yield key,sum(values)
input = enumerate(['one two','two one two'])
output = dict(core.itermapred(input,mapper,reducer))
self.assertEqual(output['one'],2)
self.assertEqual(output['two'],3)
def testwordcount(self):
def mapper(key, value):
for word in value.split():
yield word, 1
def reducer(key, values):
yield key, sum(values)
input = enumerate(['one two', 'two one two'])
output = dict(core.itermapred(input, mapper, reducer))
self.assertEqual(output['one'], 2)
self.assertEqual(output['two'], 3)
def run(self):
"""Run test"""
assert_iters_equal(
self._output_source,
itermapred(self._input_source, self._mapper, self._reducer))
def run(self):
"""Run test"""
assert_iters_equal(self._output_source, itermapred(self._input_source, self._mapper, self._reducer))