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/dports/science/grib_api/grib_api-1.28.0-Source/definitions/grib1/
H A D2.98.171.table2 1 1 - Stream function anomaly (m**2 s**-1)
4 3 3 - Potential temperature anomaly (K)
15 25 25 - Lake ice depth anomaly (m)
16 26 26 - Lake cover anomaly (0 - 1)
33 43 43 - Soil type anomaly
36 46 46 - Solar duration anomaly s
44 54 54 - Pressure anomaly (Pa)
61 128 128 - Budget values anomaly
81 148 148 - Charnock anomaly
89 156 156 - Height anomaly (m)
[all …]
H A D2.98.173.table2 8 8 MSRORA Mean surface runoff rate anomaly (m of water equivalent s**-1)
4 44 44 - Snow evaporation anomaly (m of water s**-1)
5 45 45 - Snowmelt anomaly (m of water s**-1)
6 48 48 - Magnitude of turbulent surface stress anomaly (N m**-2)
7 50 50 - Large-scale precipitation fraction anomaly (~)
9 143 143 - Convective precipitation anomaly (m s**-1)
11 145 145 - Boundary layer dissipation anomaly (J m**-2)
14 149 149 - Surface net radiation anomaly (J m**-2)
15 153 153 - Short-wave heating rate anomaly (K s**-1)
16 154 154 - Long-wave heating rate anomaly (K s**-1)
[all …]
H A D2.98.131.table2 1 2tag2 2m temperature anomaly of at least +2K %
3 2 2tag1 2m temperature anomaly of at least +1K %
4 3 2tag0 2m temperature anomaly of at least 0K %
5 4 2talm1 2m temperature anomaly of at most -1K %
6 5 2talm2 2m temperature anomaly of at most -2K %
16 20 talm2 Temperature anomaly less than -2 K %
17 21 tag2 Temperature anomaly of at least +2 K %
18 22 talm8 Temperature anomaly less than -8 K %
19 23 talm4 Temperature anomaly less than -4 K %
20 24 tag4 Temperature anomaly greater than +4 K %
[all …]
/dports/science/eccodes/eccodes-2.23.0-Source/definitions/grib1/
H A D2.98.171.table2 1 strfa Stream function anomaly (m**2 s**-1)
4 3 pta Potential temperature anomaly (K)
15 25 licda Lake ice depth anomaly (m)
16 26 cla Lake cover anomaly ((0 - 1))
33 43 slta Soil type anomaly (~)
44 54 pa Pressure anomaly (Pa)
61 128 bva Budget values anomaly (~)
63 130 ta Temperature anomaly (K)
81 148 chnka Charnock anomaly (~)
89 156 gha Height anomaly (m)
[all …]
H A D2.98.173.table4 44 ~ Snow evaporation anomaly (m of water s**-1)
5 45 ~ Snowmelt anomaly (m of water s**-1)
6 48 ~ Magnitude of turbulent surface stress anomaly (N m**-2)
7 50 ~ Large-scale precipitation fraction anomaly (~)
9 143 mcpra Mean convective precipitation rate anomaly (m s**-1)
11 145 ~ Boundary layer dissipation anomaly (J m**-2)
14 149 ~ Surface net radiation anomaly (J m**-2)
15 153 ~ Short-wave heating rate anomaly (K s**-1)
16 154 ~ Long-wave heating rate anomaly (K s**-1)
29 197 ~ Gravity wave dissipation anomaly (J m**-2)
[all …]
H A D2.98.131.table2 1 2tag2 2m temperature anomaly of at least +2K (%)
3 2 2tag1 2m temperature anomaly of at least +1K (%)
4 3 2tag0 2m temperature anomaly of at least 0K (%)
5 4 2talm1 2m temperature anomaly of at most -1K (%)
6 5 2talm2 2m temperature anomaly of at most -2K (%)
16 20 talm2 Temperature anomaly less than -2 K (%)
17 21 tag2 Temperature anomaly of at least +2 K (%)
18 22 talm8 Temperature anomaly less than -8 K (%)
19 23 talm4 Temperature anomaly less than -4 K (%)
59 96 pah Probability anomaly of a hurricane (%)
[all …]
/dports/misc/libemos/libemos-4.5.9-Source/gribtables/
H A Dlocal_table_2_version_1736 Snow evaporation anomaly
12 Snowmelt anomaly
36 Convective precipitation anomaly
66 Surface net radiation anomaly
78 Long-wave heating rate anomaly
108 Top solar radiation anomaly
114 Top thermal radiation anomaly
132 Evaporation anomaly
162 Runoff anomaly
192 Solar insolation anomaly
[all …]
H A Dlocal_table_2_version_1316 2m temperature anomaly of at least +2K
12 2m temperature anomaly of at least +1K
18 2m temperature anomaly of at least 0K
24 2m temperature anomaly of at most -1K
30 2m temperature anomaly of at most -2K
90 Temperature anomaly less than -2 K
96 Temperature anomaly of at least +2 K
102 Temperature anomaly less than -8 K
108 Temperature anomaly less than -4 K
114 Temperature anomaly greater than +4 K
[all …]
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/catapult/dashboard/dashboard/models/
H A Danomaly_test.py16 from dashboard.models import anomaly
24 a = anomaly.Anomaly(
39 a = anomaly.Anomaly()
54 key1_alerts, _, _ = anomaly.Anomaly.QueryAsync(
58 key2_alerts, _, _ = anomaly.Anomaly.QueryAsync(
68 anomaly.Anomaly(
89 entity = anomaly.Anomaly()
112 anomalies, _, _ = anomaly.Anomaly.QueryAsync(
119 anomalies, _, _ = anomaly.Anomaly.QueryAsync(
127 anomalies, _, _ = anomaly.Anomaly.QueryAsync(
[all …]
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/catapult/dashboard/dashboard/
H A Dunits_to_direction_test.py13 from dashboard.models import anomaly
28 self.assertEqual(anomaly.DOWN,
30 self.assertEqual(anomaly.UP,
33 anomaly.UNKNOWN,
42 self.assertEqual(anomaly.UNKNOWN,
52 self.assertEqual(anomaly.UP,
64 self.assertEqual(anomaly.UP,
71 self.assertEqual(anomaly.UNKNOWN,
80 self.assertEqual(anomaly.DOWN,
87 self.assertEqual(anomaly.UP,
H A Dassociate_alerts_test.py22 from dashboard.models import anomaly
61 anomaly_key = anomaly.Anomaly(
73 anomaly_key = anomaly.Anomaly(
85 anomaly_key = anomaly.Anomaly(
162 for anomaly_entity in anomaly.Anomaly.query().fetch():
179 for anomaly_entity in anomaly.Anomaly.query().fetch():
197 anomaly.Anomaly.query(
198 anomaly.Anomaly.end_revision == 9996).get().bug_id)
201 anomaly.Anomaly.query(
213 for anomaly_entity in anomaly.Anomaly.query().fetch():
[all …]
H A Dupdate_bug_with_results_test.py17 from dashboard.models import anomaly
47 anomaly.Anomaly(
54 anomaly.Anomaly(
65 anomalies = anomaly.Anomaly.query(
66 anomaly.Anomaly.bug_id == int(54321),
67 anomaly.Anomaly.project_id == 'chromium').fetch()
H A Dunits_to_direction.py11 from dashboard.models import anomaly
22 return anomaly.UNKNOWN
25 return anomaly.UNKNOWN
27 return anomaly.UP
28 return anomaly.DOWN
H A Dfind_anomalies_test.py21 from dashboard.models import anomaly
247 anomalies = anomaly.Anomaly.query().fetch()
271 direction=anomaly.UP,
285 direction=anomaly.DOWN,
299 direction=anomaly.UP,
314 direction=anomaly.DOWN,
331 a = anomaly.Anomaly(
354 a = anomaly.Anomaly(
387 a = anomaly.Anomaly(
418 test.improvement_direction = anomaly.DOWN
[all …]
/dports/security/suricata/suricata-6.0.4/rules/
H A Dhttp-events.rules7 # A flowint http.anomaly.count is incremented for each match. By default it will be 0.
9 …ror"; flow:established; app-layer-event:http.unknown_error; flowint:http.anomaly.count,+,1; classt…
10 …stablished; app-layer-event:http.gzip_decompression_failed; flowint:http.anomaly.count,+,1; classt…
13 …,to_server; app-layer-event:http.invalid_request_chunk_len; flowint:http.anomaly.count,+,1; classt…
22 …w:established; app-layer-event:http.invalid_authority_port; flowint:http.anomaly.count,+,1; classt…
23 …hed,to_server; app-layer-event:http.request_header_invalid; flowint:http.anomaly.count,+,1; classt…
25 …lished,to_server; app-layer-event:http.missing_host_header; flowint:http.anomaly.count,+,1; classt…
27 …shed,to_server; app-layer-event:http.host_header_ambiguous; flowint:http.anomaly.count,+,1; classt…
60 # This is a suricata limitation rather than anomaly traffic
82 …"; flow:established; app-layer-event:http.compression_bomb; flowint:http.anomaly.count,+,1; classt…
[all …]
H A Dtls-events.rules7 # A flowint tls.anomaly.count is incremented for each match. By default it will be 0.
9 … flow:established; app-layer-event:tls.invalid_sslv2_header; flowint:tls.anomaly.count,+,1; classt…
10 …"; flow:established; app-layer-event:tls.invalid_tls_header; flowint:tls.anomaly.count,+,1; classt…
11 …low:established; app-layer-event:tls.invalid_record_version; flowint:tls.anomaly.count,+,1; classt…
12 …; flow:established; app-layer-event:tls.invalid_record_type; flowint:tls.anomaly.count,+,1; classt…
13 …:established; app-layer-event:tls.invalid_handshake_message; flowint:tls.anomaly.count,+,1; classt…
14 …; flow:established; app-layer-event:tls.invalid_certificate; flowint:tls.anomaly.count,+,1; classt…
17 …"; flow:established; app-layer-event:tls.invalid_ssl_record; flowint:tls.anomaly.count,+,1; classt…
18 …d"; flow:established; app-layer-event:tls.heartbeat_message; flowint:tls.anomaly.count,+,1; classt…
23 …established,to_server; app-layer-event:tls.invalid_sni_type; flowint:tls.anomaly.count,+,1; classt…
[all …]
H A Dsmtp-events.rules7 # A flowint smtp.anomaly.count is incremented for each match. By default it will be 0.
9 …:established,to_client; app-layer-event:smtp.invalid_reply; flowint:smtp.anomaly.count,+,1; classt…
14 …:established; app-layer-event:smtp.bdat_chunk_len_exceeded; flowint:smtp.anomaly.count,+,1; classt…
16 …cted"; flow:established; app-layer-event:smtp.tls_rejected; flowint:smtp.anomaly.count,+,1; classt…
20 …; flow:established; app-layer-event:smtp.mime_parse_failed; flowint:smtp.anomaly.count,+,1; classt…
21 … flow:established; app-layer-event:smtp.mime_malformed_msg; flowint:smtp.anomaly.count,+,1; classt…
22 …flow:established; app-layer-event:smtp.mime_invalid_base64; flowint:smtp.anomaly.count,+,1; classt…
26 …ed"; flow:established; app-layer-event:smtp.mime_long_line; flowint:smtp.anomaly.count,+,1; classt…
30 …tablished,to_server; app-layer-event:smtp.duplicate_fields; flowint:smtp.anomaly.count,+,1; classt…
31 …blished,to_server; app-layer-event:smtp.unparsable_content; flowint:smtp.anomaly.count,+,1; classt…
[all …]
H A Dapp-layer-events.rules7 # A flowint applayer.anomaly.count is incremented for each match. By default it will be 0.
9 …layer-event:applayer_mismatch_protocol_both_directions; flowint:applayer.anomaly.count,+,1; classt…
10 …d; app-layer-event:applayer_wrong_direction_first_data; flowint:applayer.anomaly.count,+,1; classt…
11 …ayer-event:applayer_detect_protocol_only_one_direction; flowint:applayer.anomaly.count,+,1; classt…
12 …shed; app-layer-event:applayer_proto_detection_skipped; flowint:applayer.anomaly.count,+,1; classt…
14 …lished; app-layer-event:applayer_no_tls_after_starttls; flowint:applayer.anomaly.count,+,1; classt…
16 …ablished; app-layer-event:applayer_unexpected_protocol; flowint:applayer.anomaly.count,+,1; classt…
/dports/math/py-luminol/luminol-0.3.1/src/luminol/tests/
H A Dtest_anomaly_detector.py101 anomaly = anomalies[0]
102 s, e = anomaly.get_time_window()
122 anomaly = anomalies[0]
123 s, e = anomaly.get_time_window()
139 anomaly = anomalies[0]
140 s, e = anomaly.get_time_window()
147 anomaly = anomalies[1]
148 s, e = anomaly.get_time_window()
168 anomaly = anomalies[0]
274 anomaly = anomalies[0]
[all …]
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/catapult/dashboard/dashboard/common/
H A Dreport_query_test.py17 from dashboard.models import anomaly
44 improvement_direction=anomaly.DOWN,
53 improvement_direction=anomaly.DOWN,
80 improvement_direction=anomaly.DOWN,
107 improvement_direction=anomaly.DOWN,
145 improvement_direction=anomaly.DOWN,
172 improvement_direction=anomaly.DOWN,
181 improvement_direction=anomaly.DOWN,
218 improvement_direction=anomaly.DOWN,
227 improvement_direction=anomaly.DOWN,
[all …]
/dports/net-mgmt/librenms/librenms-21.5.1/mibs/arbornet/
H A DARBORNET-PEAKFLOW-DOS-MIB135 that has details about the anomaly."
143 "Identifies the Peakflow anomaly"
151 "Description of anomaly direction"
159 "Description of anomaly resource"
199 "Percent of link usage by an anomaly"
208 for this anomaly"
225 anomaly"
266 "IP version of the anomaly"
290 "Bandwidth anomaly detected by Peakflow"
309 "TCP flags anomaly detected by Peakflow"
[all …]
/dports/net-mgmt/observium/observium/mibs/arbor/
H A DPEAKFLOW-DOS-MIB135 that has details about the anomaly."
143 "Identifies the Peakflow anomaly"
151 "Description of anomaly direction"
159 "Description of anomaly resource"
199 "Percent of link usage by an anomaly"
208 for this anomaly"
225 anomaly"
266 "IP version of the anomaly"
290 "Bandwidth anomaly detected by Peakflow"
309 "TCP flags anomaly detected by Peakflow"
[all …]
/dports/math/py-luminol/luminol-0.3.1/
H A DREADME.md5 …anomaly and gives you back a time window where the anomaly happened in, a time stamp where the ano…
36 2. conduct anomaly detection on a single time series ts.
42 3. if there is anomaly, correlate the first anomaly period with a secondary time series ts2.
61 _class_ luminol.modules.anomaly.**Anomaly**
65 self.end_timestamp: # epoch seconds represents the end of the anomaly period.
66 self.anomaly_score: # a score indicating how severe is this anomaly.
109 * `score only(bool)`: if asserted, anomaly scores for the time series will be available, while anom…
110 * `score_threshold`: if passed, anomaly scores above this value will be identified as anomaly. It c…
111 * `score_precentile_threshold`: if passed, anomaly scores above this percentile will be identified …
179 1. Put anomaly scores in a list.
[all …]
/dports/benchmarks/py-naarad/naarad-1.0.15/lib/luminol/
H A DREADME.md5 …anomaly and gives you back a time window where the anomaly happened in, a time stamp where the ano…
36 2. conduct anomaly detection on a single time series ts.
42 3. if there is anomaly, correlate the first anomaly period with a secondary time series ts2.
61 _class_ luminol.modules.anomaly.**Anomaly**
65 self.end_timestamp: # epoch seconds represents the end of the anomaly period.
66 self.anomaly_score: # a score indicating how severe is this anomaly.
109 * `score only(bool)`: if asserted, anomaly scores for the time series will be available, while anom…
110 * `score_threshold`: if passed, anomaly scores above this value will be identified as anomaly. It c…
111 * `score_precentile_threshold`: if passed, anomaly scores above this percentile will be identified …
179 1. Put anomaly scores in a list.
[all …]
/dports/net-mgmt/librenms/librenms-21.5.1/mibs/nokia/aos7/
H A DALCATEL-IND1-NETSEC-MIB591 DESCRIPTION "anomaly-type"
598 DESCRIPTION "state of anomaly"
605 DESCRIPTION "Logging state of anomaly"
612 DESCRIPTION "Trap state of anomaly"
619 DESCRIPTION "Quarantine state of anomaly"
690 DESCRIPTION "anomaly-type"
697 DESCRIPTION "state of anomaly"
704 DESCRIPTION "Logging state of anomaly"
711 DESCRIPTION "Trap state of anomaly"
718 DESCRIPTION "Quarantine state of anomaly"
[all …]

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