)]}'
{"monasca_tempest_tests/tests/api/test_statistics.py":[{"author":{"_account_id":14517,"name":"Ryan Brandt","email":"ryan.brandt@hpe.com","username":"ryan-brandt"},"change_message_id":"2d3e7375a5683665e5965952d197a067484e903a","unresolved":false,"context_lines":[{"line_number":52,"context_line":"            timestamp\u003dcls._start_timestamp + 1000,"},{"line_number":53,"context_line":"            value\u003dmetric_value2)"},{"line_number":54,"context_line":"        cls.monasca_client.create_metrics(metric1)"},{"line_number":55,"context_line":"        cls.monasca_client.create_metrics(metric2)"},{"line_number":56,"context_line":"        start_time_iso \u003d helpers.timestamp_to_iso(cls._start_timestamp)"},{"line_number":57,"context_line":"        query_param \u003d \u0027?name\u003d\u0027 + str(name) + \u0027\u0026start_time\u003d\u0027 + \\"},{"line_number":58,"context_line":"                      start_time_iso + \u0027\u0026end_time\u003d\u0027 + \\"}],"source_content_type":"text/x-python","patch_set":3,"id":"ba8a016a_ba82dcfe","line":55,"updated":"2015-11-17 17:40:41.000000000","message":"Could submit these two metrics together as a list","commit_id":"d43d97f91c54d2bf3f1626d672f3b3c157a543e9"},{"author":{"_account_id":14517,"name":"Ryan Brandt","email":"ryan.brandt@hpe.com","username":"ryan-brandt"},"change_message_id":"2d3e7375a5683665e5965952d197a067484e903a","unresolved":false,"context_lines":[{"line_number":315,"context_line":"        statistic_result_type \u003d type(statistic[0][1])"},{"line_number":316,"context_line":"        self.assertEqual(statistic_result_type, float)"},{"line_number":317,"context_line":""},{"line_number":318,"context_line":"    def _test_statistics(self, statistics, num1, num2):"},{"line_number":319,"context_line":"        self.assertTrue(type(statistics) is list)"},{"line_number":320,"context_line":"        self.assertEqual(statistics[1], (num1 + num2) / 2)"},{"line_number":321,"context_line":"        self.assertEqual(statistics[2], min(num1, num2))"}],"source_content_type":"text/x-python","patch_set":3,"id":"ba8a016a_3aaeec85","line":318,"updated":"2015-11-17 17:40:41.000000000","message":"Maybe these could be called \"verify\" instead of \"test\" to make the names less similar to the actual tests","commit_id":"d43d97f91c54d2bf3f1626d672f3b3c157a543e9"},{"author":{"_account_id":14517,"name":"Ryan Brandt","email":"ryan.brandt@hpe.com","username":"ryan-brandt"},"change_message_id":"3331895017e38cc59a37e163de45baf1ea408979","unresolved":false,"context_lines":[{"line_number":338,"context_line":"    def _test_column(self, column, num_statistics_method):"},{"line_number":339,"context_line":"        self.assertTrue(type(column) is list)"},{"line_number":340,"context_line":"        self.assertEqual(len(column), num_statistics_method + 1)"},{"line_number":341,"context_line":"        self.assertEqual(column[0], \u0027timestamp\u0027)"},{"line_number":342,"context_line":"        self.assertEqual(column[1], \u0027avg\u0027)"},{"line_number":343,"context_line":"        self.assertEqual(column[2], \u0027min\u0027)"},{"line_number":344,"context_line":"        self.assertEqual(column[3], \u0027max\u0027)"}],"source_content_type":"text/x-python","patch_set":3,"id":"ba8a016a_73101602","line":341,"updated":"2015-11-17 20:45:38.000000000","message":"influx returns this field as \u0027time\u0027 not \u0027timestamp\u0027","commit_id":"d43d97f91c54d2bf3f1626d672f3b3c157a543e9"},{"author":{"_account_id":14517,"name":"Ryan Brandt","email":"ryan.brandt@hpe.com","username":"ryan-brandt"},"change_message_id":"1ff041da622891034b7a8ec48192d7a028d52175","unresolved":false,"context_lines":[{"line_number":338,"context_line":"    def _test_column(self, column, num_statistics_method):"},{"line_number":339,"context_line":"        self.assertTrue(type(column) is list)"},{"line_number":340,"context_line":"        self.assertEqual(len(column), num_statistics_method + 1)"},{"line_number":341,"context_line":"        self.assertEqual(column[0], \u0027timestamp\u0027)"},{"line_number":342,"context_line":"        self.assertEqual(column[1], \u0027avg\u0027)"},{"line_number":343,"context_line":"        self.assertEqual(column[2], \u0027min\u0027)"},{"line_number":344,"context_line":"        self.assertEqual(column[3], \u0027max\u0027)"}],"source_content_type":"text/x-python","patch_set":3,"id":"ba8a016a_b3bd1e6a","line":341,"in_reply_to":"ba8a016a_73101602","updated":"2015-11-17 20:57:01.000000000","message":"My mistake, this is an error in the python API","commit_id":"d43d97f91c54d2bf3f1626d672f3b3c157a543e9"}]}