diff options
| author |   Abhijit Sinha <abhijit.sinha@intel.com> | 2018-05-14 14:38:52 +0100 |
|---|---|---|
| committer | Abhijit Sinha <abhijit.sinha@intel.com> | 2018-05-15 13:35:35 +0000 |
| commit | 0a935ba4cb35437a1f9b65ba73276b5e5f925565 (patch) | |
| tree | 2fba420a91658826a278365557ba31d5fb294e65 /yardstick/network_services/traffic_profile | |
| parent | 443b3d4ada33d464bdf59fe1ef0da4c8bf9a8607 (diff) | |
Fix PEP8 errors in prox_binseach
There were some pep8 errors in the
prox_binsearch.py file. These are fixed here.
JIRA: YARDSTICK-1173
Change-Id: I817bba89c6ba298bb0f27b2538aa7585cb286754
Signed-off-by: Abhijit Sinha <abhijit.sinha@intel.com>
Diffstat (limited to 'yardstick/network_services/traffic_profile')
| -rw-r--r-- | yardstick/network_services/traffic_profile/prox_binsearch.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/yardstick/network_services/traffic_profile/prox_binsearch.py b/yardstick/network_services/traffic_profile/prox_binsearch.py index 7a84f1365..1e926aca2 100644 --- a/yardstick/network_services/traffic_profile/prox_binsearch.py +++ b/yardstick/network_services/traffic_profile/prox_binsearch.py @@ -90,10 +90,10 @@ class ProxBinSearchProfile(ProxProfile): # Store one time only value in influxdb single_samples = { - "test_duration" : traffic_gen.scenario_helper.scenario_cfg["runner"]["duration"], - "test_precision" : self.params["traffic_profile"]["test_precision"], - "tolerated_loss" : self.params["traffic_profile"]["tolerated_loss"], - "duration" : duration + "test_duration": traffic_gen.scenario_helper.scenario_cfg["runner"]["duration"], + "test_precision": self.params["traffic_profile"]["test_precision"], + "tolerated_loss": self.params["traffic_profile"]["tolerated_loss"], + "duration": duration } self.queue.put(single_samples) self.prev_time = time.time() @@ -148,5 +148,5 @@ class ProxBinSearchProfile(ProxProfile): self.queue.put(samples) result_samples["Result_pktSize"] = pkt_size - result_samples["Result_theor_max_throughput"] = theor_max_thruput/ (1000 * 1000) + result_samples["Result_theor_max_throughput"] = theor_max_thruput/(1000 * 1000) self.queue.put(result_samples) |