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/aosp_15_r20/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… [all …]
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… [all …]
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… [all …]
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… [all …]
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 … [all …]
/aosp_15_r20/external/google-cloud-java/java-monitoring-dashboards/proto-google-cloud-monitoring-dashboard-v1/src/main/java/com/google/monitoring/dashboard/v1/
H A 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 [all …]
H A 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 [all …]
/aosp_15_r20/external/google-cloud-java/java-monitoring/proto-google-cloud-monitoring-v3/src/main/java/com/google/monitoring/v3/
H A 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 [all …]
H A 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 [all …]
H A 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. [all …]
H A 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. [all …]
H A 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 [all …]
/aosp_15_r20/external/libdrm/data/
H A D	amdgpu.ids	`167 6604, 00, AMD Radeon R7 M265 Series 169 6605, 00, AMD Radeon R7 M260 Series 174 6610, 00, AMD Radeon R7 200 Series 177 6610, 87, AMD Radeon R7 200 Series 178 6611, 00, AMD Radeon R7 200 Series 179 6611, 87, AMD Radeon R7 200 Series 180 6613, 00, AMD Radeon R7 200 Series 181 6617, 00, AMD Radeon R7 240 Series 182 6617, 87, AMD Radeon R7 200 Series 183 6617, C7, AMD Radeon R7 240 Series [all …]`
/aosp_15_r20/external/androidplot/AndroidPlot-Core/src/test/java/com/androidplot/xy/
H A 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() [all …]
/aosp_15_r20/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", [all …]`
/aosp_15_r20/external/googleapis/google/monitoring/dashboard/v1/
H A 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 [all …]
/aosp_15_r20/external/google-cloud-java/java-monitoring-dashboards/proto-google-cloud-monitoring-dashboard-v1/src/main/proto/google/monitoring/dashboard/v1/
H A 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 [all …]
/aosp_15_r20/external/python/google-api-python-client/googleapiclient/discovery_cache/documents/
D	monitoring.v3.json	122 … "description": "Lists time series that match a filter. This method does not require a Workspace.", 131 …series into consistent blocks of time. This will be done before the per-series aligner can be appl… 137 …series into a single time series, where the value of each data point in the resulting series is a … 155 "No cross-time series reduction. The output of the Aligner is returned.", 156 …"Reduce by computing the mean value across time series for each alignment period. This reducer is … 157 …"Reduce by computing the minimum value across time series for each alignment period. This reducer … 158 …"Reduce by computing the maximum value across time series for each alignment period. This reducer … 159 …"Reduce by computing the sum across time series for each alignment period. This reducer is valid f… 160 …"Reduce by computing the standard deviation across time series for each alignment period. This red… 161 …"Reduce by computing the number of data points across time series for each alignment period. This … [all …]
D	monitoring.v1.json	523 "series": { object 525 … "flatPath": "v1/projects/{projectsId}/location/{location}/prometheus/api/v1/series", 527 "id": "monitoring.projects.location.prometheus.api.v1.series", 547 "path": "v1/{+name}/location/{location}/prometheus/api/v1/series", 593 …ncoded in the Prometheus label matcher format to constrain the values to series that satisfy them.… 686 …series to provide a different view of the data. Aggregation of time series is done in two steps. F… 690 …series into consistent blocks of time. This will be done before the per-series aligner can be appl… 695 …series into a single time series, where the value of each data point in the resulting series is a … 713 "No cross-time series reduction. The output of the Aligner is returned.", 714 …"Reduce by computing the mean value across time series for each alignment period. This reducer is … [all …]
/aosp_15_r20/external/googleapis/google/monitoring/v3/
H A 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 [all …]
/aosp_15_r20/external/google-cloud-java/java-monitoring/proto-google-cloud-monitoring-v3/src/main/proto/google/monitoring/v3/
H A 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 [all …]
/aosp_15_r20/external/cpuinfo/src/arm/linux/
H A D	chipset.c	67 * Map from ARM chipset series ID to ARM chipset vendor ID. 129 enum cpuinfo_arm_chipset_series series; in match_msm_apq() local 132 series = cpuinfo_arm_chipset_series_qualcomm_msm; in match_msm_apq() 135 series = cpuinfo_arm_chipset_series_qualcomm_apq; in match_msm_apq() 141 /* Sometimes there is a space ' ' following the MSM/APQ series */ in match_msm_apq() 166 .series = series, in match_msm_apq() 232 .series = cpuinfo_arm_chipset_series_qualcomm_snapdragon, in match_sdm() 279 .series = cpuinfo_arm_chipset_series_qualcomm_snapdragon, in match_sm() 289 uint8_t series; member 297 .series = cpuinfo_arm_chipset_series_qualcomm_snapdragon, [all …]
/aosp_15_r20/external/pciutils/
H A D	pci.ids	132 7200 JM7200 Series GPU 327 0e11 6004 EOB003 Series SCSI host adapter 434 1734 1052 PRIMERGY BX/RX/TX S2 series onboard SCSI(IME) 620 8086 3700 SSD 910 Series 640 1137 00c2 UCS E-Series Double Wide 641 1137 00c3 UCS E-Series Single Wide 1229 15d8 Picasso/Raven 2 [Radeon Vega Series / Radeon Vega Mobile Series] 1235 15dd Raven Ridge [Radeon Vega Series / Radeon Vega Mobile Series] 1252 1636 Renoir [Radeon RX Vega 6 (Ryzen 4000/5000 Mobile Series)] 1254 1638 Cezanne [Radeon Vega Series / Radeon Vega Mobile Series] [all …]
/aosp_15_r20/external/google-cloud-java/java-bigquerymigration/proto-google-cloud-bigquerymigration-v2alpha/src/main/java/com/google/cloud/bigquery/migration/v2alpha/
H A D	TimeSeries.java	132 * Required. The value type of the time series. 149 * Required. The value type of the time series. 171 * Optional. The metric kind of the time series. 192 * Optional. The metric kind of the time series. 220 * Required. The data points of this time series. When listing time series, points are 222 * When creating a time series, this field must contain exactly one point and 241 * Required. The data points of this time series. When listing time series, points are 243 * When creating a time series, this field must contain exactly one point and 263 * Required. The data points of this time series. When listing time series, points are 265 * When creating a time series, this field must contain exactly one point and [all …]
/aosp_15_r20/external/google-cloud-java/java-bigquerymigration/proto-google-cloud-bigquerymigration-v2/src/main/java/com/google/cloud/bigquery/migration/v2/
H A D	TimeSeries.java	132 * Required. The value type of the time series. 149 * Required. The value type of the time series. 171 * Optional. The metric kind of the time series. 192 * Optional. The metric kind of the time series. 220 * Required. The data points of this time series. When listing time series, 222 * When creating a time series, this field must contain exactly one point and 241 * Required. The data points of this time series. When listing time series, 243 * When creating a time series, this field must contain exactly one point and 263 * Required. The data points of this time series. When listing time series, 265 * When creating a time series, this field must contain exactly one point and [all …]

12 3 4 5 6 7 8 9 10 >>...218