def test_output_multiple(self):
outputs = [["key1", "value1"], ["key2", "value"], ["key3", "value3"]]
for o in outputs:
output(o[0], o[1], output_io=self.out)
actual_output = self.get_value().split("\n")
self.assertListEqual(["\t".join(expect) for expect in outputs], actual_output)
#!/usr/bin/env python3
# encoding: utf-8
from __future__ import division
from util.stream_input import input_tab_key_json
from util.stream_output import output
summation = 0
count = 0
for key, count_dict in input_tab_key_json():
summation += count_dict["summation"]
count += count_dict["count"]
average = summation / count if not count == 0 else 0
output("result", str(average))
#!/usr/bin/env python3
import json
import sys
from util.stream_output import output
# This file comes from GridSearch#CACHE_FILE_NAME
# It will no need to identify filename for future
f = open("cache/condition.txt")
condition = json.loads((list(f))[0])
for value in sys.stdin:
for i in range(len(condition)):
# distribute all data to all reducer
output(str(i), value.replace("\r", "").replace("\n", ""))
def test_output_tab_no_output(self):
output("", "", output_io=self.out)
actual_output = self.get_value()
self.assertEqual("\t", actual_output)
def test_output_tab_include_value(self):
output("a", "b\tc", output_io=self.out)
actual_output = self.get_value()
self.assertEqual("a\tb\tc", actual_output)
def test_output(self):
output("a", "b", output_io=self.out)
actual_output = self.get_value()
self.assertEqual("a\tb", actual_output)