| /external/python/google-api-python-client/docs/dyn/ |
| D | monitoring_v1.projects.dashboards.html | 131 …, and how this value relates to one or more thresholds. # A scorecard summarizing time series data.
137 … implemented by specifying the minimum alignment period to use in a time series query. For example…
140 …e thresholds used to determine the state of the scorecard given the time series' current valu…
141 { # Defines a threshold for categorizing time series values.
149 …orted methods for querying time series data from the Stackdriver metrics API. # Required. Fields f…
150 …series data that is displayed in a widget. Time series data is fetched using the ListTimeSeries (h…
151 …series to provide a different view of the data. Aggregation of time series is done in two steps. F…
152 …series into consistent blocks of time. This will be done before the per-series aligner can be appl…
153 …series into a single time series, where the value of each data point in the resulting series is a …
154 …series are partitioned into subsets prior to applying the aggregation operation. Each subset conta…
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| D | monitoring_v3.projects.alertPolicies.html | 123 …series for the specified metric of a monitored resource does not include any data in the specified…
124 …he alignment of data points in individual time series as well as how to combine the retrieved time…
125 …series to provide a different view of the data. Aggregation of time series is done in two steps. F…
126 …series into consistent blocks of time. This will be done before the per-series aligner can be appl…
127 …series into a single time series, where the value of each data point in the resulting series is a …
128 …series are partitioned into subsets prior to applying the aggregation operation. Each subset conta…
131 …series into temporal alignment. Except for ALIGN_NONE, all alignments cause all the data points in…
134 …"duration": "A String", # The amount of time that a time series must fail to r…
135 …series should be compared with the threshold.The filter is similar to the one that is specified in…
136 …series must fail a predicate to trigger a condition. If not specified, then a {count: 1} trigger i…
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| D | monitoring_v3.organizations.timeSeries.html | 82 <p class="firstline">Lists time series that match a filter. This method does not require a Workspac…
94 <pre>Lists time series that match a filter. This method does not require a Workspace.
98 …series into consistent blocks of time. This will be done before the per-series aligner can be appl…
99 …series into a single time series, where the value of each data point in the resulting series is a …
101 REDUCE_NONE - No cross-time series reduction. The output of the Aligner is returned.
102 …REDUCE_MEAN - Reduce by computing the mean value across time series for each alignment period. Thi…
103 …REDUCE_MIN - Reduce by computing the minimum value across time series for each alignment period. T…
104 …REDUCE_MAX - Reduce by computing the maximum value across time series for each alignment period. T…
105 …REDUCE_SUM - Reduce by computing the sum across time series for each alignment period. This reduce…
106 …REDUCE_STDDEV - Reduce by computing the standard deviation across time series for each alignment p…
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| D | monitoring_v3.folders.timeSeries.html | 82 <p class="firstline">Lists time series that match a filter. This method does not require a Workspac…
94 <pre>Lists time series that match a filter. This method does not require a Workspace.
98 …series into consistent blocks of time. This will be done before the per-series aligner can be appl…
99 …series into a single time series, where the value of each data point in the resulting series is a …
101 REDUCE_NONE - No cross-time series reduction. The output of the Aligner is returned.
102 …REDUCE_MEAN - Reduce by computing the mean value across time series for each alignment period. Thi…
103 …REDUCE_MIN - Reduce by computing the minimum value across time series for each alignment period. T…
104 …REDUCE_MAX - Reduce by computing the maximum value across time series for each alignment period. T…
105 …REDUCE_SUM - Reduce by computing the sum across time series for each alignment period. This reduce…
106 …REDUCE_STDDEV - Reduce by computing the standard deviation across time series for each alignment p…
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| D | monitoring_v3.projects.timeSeries.html | 82 …ds data to one or more time series. The response is empty if all time series in the request were w…
85 …series. A service time series is a time series for a metric from a Google Cloud service. The respo…
88 <p class="firstline">Lists time series that match a filter. This method does not require a Workspac…
94 <p class="firstline">Queries time series using Monitoring Query Language. This method does not requ…
106 …ds data to one or more time series. The response is empty if all time series in the request were w…
114 …series. Adds at most one data point to each of several time series. The new data point must be mor…
115 …series is identified by a combination of a fully-specified monitored resource and a fully-specifie…
116 …n reading a time series, this field will include metadata labels that are explicitly named in the …
124 …tricDescriptor. # The associated metric. A fully-specified metric used to identify the time series.
130 …series. When listing time series, this metric kind might be different from the metric kind of the …
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| /external/androidplot/AndroidPlot-Core/src/test/java/com/androidplot/xy/ |
| D | SimpleXYSeriesTest.java | 34 …SimpleXYSeries series = new SimpleXYSeries(Arrays.asList(yVals), SimpleXYSeries.ArrayFormat.Y_VALS… in testYValsOnlyConstructor() local
36 assertEquals(yVals[0], series.getY(0)); in testYValsOnlyConstructor()
37 assertEquals(yVals[1], series.getY(1)); in testYValsOnlyConstructor()
38 assertEquals(yVals[2], series.getY(2)); in testYValsOnlyConstructor()
39 assertEquals(yVals[3], series.getY(3)); in testYValsOnlyConstructor()
40 assertEquals(yVals[4], series.getY(4)); in testYValsOnlyConstructor()
42 assertEquals(0, series.getX(0)); in testYValsOnlyConstructor()
43 assertEquals(1, series.getX(1)); in testYValsOnlyConstructor()
44 assertEquals(2, series.getX(2)); in testYValsOnlyConstructor()
45 assertEquals(3, series.getX(3)); in testYValsOnlyConstructor()
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| /external/libdrm/data/ |
| D | amdgpu.ids | 72 6604, 0, AMD Radeon R7 M265 Series
74 6605, 0, AMD Radeon R7 M260 Series
79 6610, 0, AMD Radeon HD 8600 Series
82 6611, 0, AMD Radeon HD 8500 Series
83 6613, 0, AMD Radeon HD 8500 series
84 6617, C7, AMD Radeon R7 240 Series
92 6658, 0, AMD Radeon R7 200 Series
93 665C, 0, AMD Radeon HD 7700 Series
94 665D, 0, AMD Radeon R7 200 Series
95 665F, 81, AMD Radeon R7 300 Series
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| /external/google-cloud-java/java-monitoring-dashboards/proto-google-cloud-monitoring-dashboard-v1/src/main/java/com/google/monitoring/dashboard/v1/ |
| D | AggregationOrBuilder.java | 32 * [time series][google.monitoring.v3.TimeSeries] into consistent blocks of
33 * time. This will be done before the per-series aligner can be applied to
35 * The value must be at least 60 seconds. If a per-series aligner other than
37 * If no per-series aligner is specified, or the aligner `ALIGN_NONE` is
53 * [time series][google.monitoring.v3.TimeSeries] into consistent blocks of
54 * time. This will be done before the per-series aligner can be applied to
56 * The value must be at least 60 seconds. If a per-series aligner other than
58 * If no per-series aligner is specified, or the aligner `ALIGN_NONE` is
74 * [time series][google.monitoring.v3.TimeSeries] into consistent blocks of
75 * time. This will be done before the per-series aligner can be applied to
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| D | Aggregation.java | 25 * Describes how to combine multiple time series to provide a different view of
26 * the data. Aggregation of time series is done in two steps. First, each time
27 * series in the set is _aligned_ to the same time interval boundaries, then the
28 * set of time series is optionally _reduced_ in number.
30 * to each time series after its data has been divided into regular
35 * Reduction is when the aligned and transformed time series can optionally be
36 * combined, reducing the number of time series through similar mathematical
38 * all the time series, optionally sorting the time series into subsets with
40 * The raw time series data can contain a huge amount of information from
45 * individual time series data is still available for later drilldown. For more
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| /external/google-cloud-java/java-monitoring/proto-google-cloud-monitoring-v3/src/main/java/com/google/monitoring/v3/ |
| D | AggregationOrBuilder.java | 32 * [time series][google.monitoring.v3.TimeSeries] into consistent blocks of
33 * time. This will be done before the per-series aligner can be applied to
35 * The value must be at least 60 seconds. If a per-series
37 * error is returned. If no per-series aligner is specified, or the aligner
54 * [time series][google.monitoring.v3.TimeSeries] into consistent blocks of
55 * time. This will be done before the per-series aligner can be applied to
57 * The value must be at least 60 seconds. If a per-series
59 * error is returned. If no per-series aligner is specified, or the aligner
76 * [time series][google.monitoring.v3.TimeSeries] into consistent blocks of
77 * time. This will be done before the per-series aligner can be applied to
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| D | Aggregation.java | 25 * Describes how to combine multiple time series to provide a different view of
26 * the data. Aggregation of time series is done in two steps. First, each time
27 * series in the set is _aligned_ to the same time interval boundaries, then the
28 * set of time series is optionally _reduced_ in number.
30 * to each time series after its data has been divided into regular
35 * Reduction is when the aligned and transformed time series can optionally be
36 * combined, reducing the number of time series through similar mathematical
38 * all the time series, optionally sorting the time series into subsets with
40 * The raw time series data can contain a huge amount of information from
45 * individual time series data is still available for later drilldown. For more
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| D | TimeSeriesOrBuilder.java | 31 * series.
44 * series.
57 * series.
69 * monitored resource types in their time series data. For more information,
84 * monitored resource types in their time series data. For more information,
99 * monitored resource types in their time series data. For more information,
113 * time series, this field will include metadata labels that are explicitly
114 * named in the reduction. When creating a time series, this field is ignored.
127 * time series, this field will include metadata labels that are explicitly
128 * named in the reduction. When creating a time series, this field is ignored.
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| D | TimeSeries.java | 26 * of a metric. A time series is identified by a combination of a
28 * This type is used for both listing and creating time series.
83 * series.
99 * series.
115 * series.
132 * monitored resource types in their time series data. For more information,
150 * monitored resource types in their time series data. For more information,
168 * monitored resource types in their time series data. For more information,
187 * time series, this field will include metadata labels that are explicitly
188 * named in the reduction. When creating a time series, this field is ignored.
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| D | CreateTimeSeriesRequest.java | 138 * Required. The new data to be added to a list of time series.
139 * Adds at most one data point to each of several time series. The new data
140 * point must be more recent than any other point in its time series. Each
141 * `TimeSeries` value must fully specify a unique time series by supplying
158 * Required. The new data to be added to a list of time series.
159 * Adds at most one data point to each of several time series. The new data
160 * point must be more recent than any other point in its time series. Each
161 * `TimeSeries` value must fully specify a unique time series by supplying
179 * Required. The new data to be added to a list of time series.
180 * Adds at most one data point to each of several time series. The new data
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| /external/googleapis/google/monitoring/dashboard/v1/ |
| D | common.proto | 30 // Describes how to combine multiple time series to provide a different view of
31 // the data. Aggregation of time series is done in two steps. First, each time
32 // series in the set is _aligned_ to the same time interval boundaries, then the
33 // set of time series is optionally _reduced_ in number.
36 // to each time series after its data has been divided into regular
42 // Reduction is when the aligned and transformed time series can optionally be
43 // combined, reducing the number of time series through similar mathematical
45 // all the time series, optionally sorting the time series into subsets with
48 // The raw time series data can contain a huge amount of information from
53 // individual time series data is still available for later drilldown. For more
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| D | metrics.proto | 31 // series data from the Stackdriver metrics API.
35 // Filter parameters to fetch time series.
38 // Parameters to fetch a ratio between two time series filters.
41 // A query used to fetch time series with MQL.
44 // A query used to fetch time series with PromQL.
48 // The unit of data contained in fetched time series. If non-empty, this
59 // the cases where a series of data points are expected, like
65 // A filter that defines a subset of time series data that is displayed in a
66 // widget. Time series data is fetched using the
75 // By default, the raw time series data is returned.
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| /external/google-cloud-java/java-monitoring-dashboards/proto-google-cloud-monitoring-dashboard-v1/src/main/proto/google/monitoring/dashboard/v1/ |
| D | common.proto | 29 // Describes how to combine multiple time series to provide a different view of
30 // the data. Aggregation of time series is done in two steps. First, each time
31 // series in the set is _aligned_ to the same time interval boundaries, then the
32 // set of time series is optionally _reduced_ in number.
35 // to each time series after its data has been divided into regular
41 // Reduction is when the aligned and transformed time series can optionally be
42 // combined, reducing the number of time series through similar mathematical
44 // all the time series, optionally sorting the time series into subsets with
47 // The raw time series data can contain a huge amount of information from
52 // individual time series data is still available for later drilldown. For more
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| D | metrics.proto | 31 // series data from the Stackdriver metrics API.
35 // Filter parameters to fetch time series.
38 // Parameters to fetch a ratio between two time series filters.
41 // A query used to fetch time series with MQL.
44 // A query used to fetch time series with PromQL.
48 // The unit of data contained in fetched time series. If non-empty, this
56 // A filter that defines a subset of time series data that is displayed in a
57 // widget. Time series data is fetched using the
66 // By default, the raw time series data is returned.
67 // Use this field to combine multiple time series for different views of the
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| /external/python/google-api-python-client/tests/data/ |
| D | moderator.json | 105 "Series": { object
106 "id": "Series",
151 "default": "moderator#series"
171 "$ref": "Series"
577 "series": { object
580 "id": "moderator.featured.series.list",
581 "path": "series/featured",
583 "description": "Lists the featured series.",
597 "series": { object
600 "id": "moderator.global.series.list",
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| /external/googleapis/google/monitoring/v3/ |
| D | common.proto | 103 // Describes how to combine multiple time series to provide a different view of
104 // the data. Aggregation of time series is done in two steps. First, each time
105 // series in the set is _aligned_ to the same time interval boundaries, then the
106 // set of time series is optionally _reduced_ in number.
109 // to each time series after its data has been divided into regular
115 // Reduction is when the aligned and transformed time series can optionally be
116 // combined, reducing the number of time series through similar mathematical
118 // all the time series, optionally sorting the time series into subsets with
121 // The raw time series data can contain a huge amount of information from
126 // individual time series data is still available for later drilldown. For more
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|
| /external/google-cloud-java/java-monitoring/proto-google-cloud-monitoring-v3/src/main/proto/google/monitoring/v3/ |
| D | common.proto | 92 // Describes how to combine multiple time series to provide a different view of
93 // the data. Aggregation of time series is done in two steps. First, each time
94 // series in the set is _aligned_ to the same time interval boundaries, then the
95 // set of time series is optionally _reduced_ in number.
98 // to each time series after its data has been divided into regular
104 // Reduction is when the aligned and transformed time series can optionally be
105 // combined, reducing the number of time series through similar mathematical
107 // all the time series, optionally sorting the time series into subsets with
110 // The raw time series data can contain a huge amount of information from
115 // individual time series data is still available for later drilldown. For more
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| D | metric.proto | 32 // A single data point in a time series.
50 // of a metric. A time series is identified by a combination of a
52 // This type is used for both listing and creating time series.
55 // series.
59 // monitored resource types in their time series data. For more information,
65 // time series, this field will include metadata labels that are explicitly
66 // named in the reduction. When creating a time series, this field is ignored.
69 // The metric kind of the time series. When listing time series, this metric
71 // this time series is an alignment or reduction of other time series.
73 // When creating a time series, this field is optional. If present, it must be
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| /external/androidplot/AndroidPlot-Core/src/main/java/com/androidplot/ui/ |
| D | RenderBundle.java | 19 import com.androidplot.Series;
22 public abstract class RenderBundle<RenderBundleType extends RenderBundle, SeriesType extends Series…
23 //private XYDataset series;
24 private Series series; field in RenderBundle
27 public RenderBundle(SeriesType series, SeriesFormatterType formatter) { in RenderBundle() argument
29 this.series = series; in RenderBundle()
32 public Series getSeries() { in getSeries()
33 return series; in getSeries()
36 public void setSeries(Series series) { in setSeries() argument
37 this.series = series; in setSeries()
|
| D | SeriesAndFormatterList.java | 19 import com.androidplot.Series;
25 * Associates a Series with a Formatter.
29 public class SeriesAndFormatterList<SeriesType extends Series, FormatterType> {
37 public boolean contains(SeriesType series) { in contains() argument
38 return seriesList.contains(series); in contains()
53 public boolean add(SeriesType series, FormatterType formatter) { in add() argument
54 if(series == null || formatter == null) { in add()
55 throw new IllegalArgumentException("series and formatter must not be null."); in add()
57 if(seriesList.contains(series)) { in add()
60 seriesList.add(series); in add()
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| /external/autotest/frontend/client/src/autotest/tko/ |
| D | SeriesSelector.java | 31 private ArrayList<Series> series = new ArrayList<Series>(); field in SeriesSelector
32 private Anchor addLink = new Anchor("[Add Series]");
37 public class Series extends Composite { class in SeriesSelector
46 private Anchor deleteLink = new Anchor("Delete Series");
49 private Series(int aRow) { in Series() method in SeriesSelector.Series
174 public List<Series> getAllSeries() { in getAllSeries()
175 return Collections.unmodifiableList(series); in getAllSeries()
179 for (int i = 0; i < series.size(); i++) { in reset()
182 series.clear(); in reset()
188 for (Series s : series) { in getInverted()
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