| /aosp_15_r20/external/ltp/runtest/ |
| H A D | controllers | 58 cgroup_fj_stress_debug_2_2_each cgroup_fj_stress.sh debug 2 2 each
59 cgroup_fj_stress_debug_3_3_each cgroup_fj_stress.sh debug 3 3 each
60 cgroup_fj_stress_debug_4_4_each cgroup_fj_stress.sh debug 4 4 each
61 cgroup_fj_stress_debug_2_9_each cgroup_fj_stress.sh debug 2 9 each
62 cgroup_fj_stress_debug_10_3_each cgroup_fj_stress.sh debug 10 3 each
63 cgroup_fj_stress_debug_1_200_each cgroup_fj_stress.sh debug 1 200 each
64 cgroup_fj_stress_debug_200_1_each cgroup_fj_stress.sh debug 200 1 each
83 cgroup_fj_stress_cpuset_2_2_each cgroup_fj_stress.sh cpuset 2 2 each
84 cgroup_fj_stress_cpuset_3_3_each cgroup_fj_stress.sh cpuset 3 3 each
85 cgroup_fj_stress_cpuset_4_4_each cgroup_fj_stress.sh cpuset 4 4 each
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| /aosp_15_r20/external/python/google-api-python-client/docs/dyn/ |
| D | monitoring_v1.projects.dashboards.html | 114 …e space into vertical columns and arranges a set of widgets vertically in each column. # The conte…
151 …each time series in the set is aligned to the same time interval boundaries, then the set of time …
153 …used to combine time series into a single time series, where the value of each data point in the r…
154 …Each subset contains time series that have the same value for each of the grouping fields. Each in…
157 … be mathematically grouped together, resulting in a single data point for each alignment_period wi…
160 …TimeSeriesFilter": { # Describes a ranking-based time series filter. Each input time series i…
163 …rankingMethod": "A String", # ranking_method is applied to each time series indepen…
165 …each time series in the set is aligned to the same time interval boundaries, then the set of time …
167 …used to combine time series into a single time series, where the value of each data point in the r…
168 …Each subset contains time series that have the same value for each of the grouping fields. Each in…
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| D | monitoring_v3.projects.alertPolicies.html | 124 … together (such as when aggregating multiple streams on each resource to a single stream for each …
125 …each time series in the set is aligned to the same time interval boundaries, then the set of time …
127 …used to combine time series into a single time series, where the value of each data point in the r…
128 …Each subset contains time series that have the same value for each of the grouping fields. Each in…
131 … be mathematically grouped together, resulting in a single data point for each alignment_period wi…
143 …or this label key. Each entry in this map is a specification for how data should be extracted from…
156 … together (such as when aggregating multiple streams on each resource to a single stream for each …
157 …each time series in the set is aligned to the same time interval boundaries, then the set of time …
159 …used to combine time series into a single time series, where the value of each data point in the r…
160 …Each subset contains time series that have the same value for each of the grouping fields. Each in…
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| D | monitoring_v3.organizations.timeSeries.html | 99 …used to combine time series into a single time series, where the value of each data point in the r…
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…
107 …REDUCE_COUNT - Reduce by computing the number of data points across time series for each alignment…
108 …by computing the number of True-valued data points across time series for each alignment period. T…
109 …y computing the number of False-valued data points across time series for each alignment period. T…
110 … number of True-valued data points to the total number of data points for each alignment period. T…
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| D | monitoring_v3.folders.timeSeries.html | 99 …used to combine time series into a single time series, where the value of each data point in the r…
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…
107 …REDUCE_COUNT - Reduce by computing the number of data points across time series for each alignment…
108 …by computing the number of True-valued data points across time series for each alignment period. T…
109 …y computing the number of False-valued data points across time series for each alignment period. T…
110 … number of True-valued data points to the total number of data points for each alignment period. T…
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| /aosp_15_r20/external/apache-commons-math/src/main/java/org/apache/commons/math/linear/ |
| H A D | RealVector.java | 34 * applying a function ...) on each element in turn. The <code>mapXxx</code>
64 * @param function Function to apply to each entry.
76 * @param function Function to apply to each entry.
187 * Add a value to each entry.
189 * @param d Value to be added to each entry.
195 * Add a value to each entry.
198 * @param d Value to be added to each entry.
204 * Subtract a value from each entry.
212 * Subtract a value from each entry.
221 * Multiply each entry.
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| /aosp_15_r20/external/apache-xml/test/tests/extensions/library/ |
| H A D | libraryNodeset05.xsl | 61 <!-- First, force evaluation of each variable -->
74 <xsl:for-each select="ex:nodeset($top2)//center">
77 </xsl:for-each>
83 <xsl:for-each select="ex:nodeset($top2)//center/child::*">
86 </xsl:for-each>
91 <xsl:for-each select="ex:nodeset($top2)//center/descendant::*">
94 </xsl:for-each>
99 <xsl:for-each select="ex:nodeset($top2)//center/parent::*">
102 </xsl:for-each>
107 <xsl:for-each select="ex:nodeset($top2)//center/ancestor::*">
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| H A D | libraryNodeset06.xsl | 61 <!-- Now, force evaluation of each of the above variables -->
75 <xsl:for-each select="ex:nodeset($var2)//center">
78 </xsl:for-each>
84 <xsl:for-each select="ex:nodeset($var2)//center/child::*">
87 </xsl:for-each>
92 <xsl:for-each select="ex:nodeset($var2)//center/descendant::*">
95 </xsl:for-each>
100 <xsl:for-each select="ex:nodeset($var2)//center/parent::*">
103 </xsl:for-each>
108 <xsl:for-each select="ex:nodeset($var2)//center/ancestor::*">
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| /aosp_15_r20/external/google-cloud-java/java-analytics-data/proto-google-analytics-data-v1alpha/src/main/java/com/google/analytics/data/v1alpha/ |
| H A D | UserSegmentCriteria.java | 81 * A user matches this criteria if the user matches each of these
82 * `andConditionGroups` and each of the `andSequenceGroups`.
99 * A user matches this criteria if the user matches each of these
100 * `andConditionGroups` and each of the `andSequenceGroups`.
118 * A user matches this criteria if the user matches each of these
119 * `andConditionGroups` and each of the `andSequenceGroups`.
135 * A user matches this criteria if the user matches each of these
136 * `andConditionGroups` and each of the `andSequenceGroups`.
153 * A user matches this criteria if the user matches each of these
154 * `andConditionGroups` and each of the `andSequenceGroups`.
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| /aosp_15_r20/external/cronet/build/rust/std/ |
| H A D | BUILD.gn.hbs | 9 {{#each rules}}
15 {{#each sources}}
17 {{/each}}
20 {{#each inputs}}
22 {{/each}}
39 {{#each remove_library_configs}}
41 {{/each}}
54 {{#each remove_executable_configs}}
56 {{/each}}
60 {{#each add_executable_configs}}
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|
| /aosp_15_r20/external/angle/build/rust/std/ |
| H A D | BUILD.gn.hbs | 9 {{#each rules}}
15 {{#each sources}}
17 {{/each}}
20 {{#each inputs}}
22 {{/each}}
40 {{#each remove_library_configs}}
42 {{/each}}
56 {{#each remove_executable_configs}}
58 {{/each}}
62 {{#each add_executable_configs}}
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|
| /aosp_15_r20/external/cronet/third_party/rust/chromium_crates_io/ |
| H A D | BUILD.gn.hbs | 11 {{#each rules}}
23 {{#each sources}}
25 {{/each}}
28 {{#each inputs}}
30 {{/each}}
49 {{#each deps}}
55 {{#each this.packages}}
57 {{/each}}
62 {{#each this.packages}}
64 {{/each}}
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| /aosp_15_r20/libcore/ojluni/src/test/java/util/Map/ |
| H A D | ToArray.java | 59 // for each map type. in testToArray()
70 for (int each = 0; each < TEST_SIZE; each++) {
71 KEYS[each] = Integer.valueOf(each);
72 VALUES[each] = Long.valueOf(each + TEST_SIZE);
80 for (int each = 0; each < TEST_SIZE; each++) { in testMap()
81 map.put(KEYS[each], VALUES[each]); in testMap()
88 for(int each = 0; each < TEST_SIZE; each++) { in testMap()
89 Assert.assertTrue( keys[each] == KEYS[each]); in testMap()
96 for(int each = 0; each < TEST_SIZE; each++) { in testMap()
97 Assert.assertTrue( values[each] == VALUES[each]); in testMap()
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| H A D | Collisions.java | 54 for (Map.Entry<IntKey, IntKey> each : map.entrySet()) { in testIntegerIteration()
55 assertFalse(all.get(each.getKey().getValue()), "Iteration: key already seen"); in testIntegerIteration()
56 all.set(each.getKey().getValue()); in testIntegerIteration()
62 for (IntKey each : map.keySet()) { in testIntegerIteration()
63 assertFalse(all.get(each.getValue()), "Iteration: key already seen"); in testIntegerIteration()
64 all.set(each.getValue()); in testIntegerIteration()
71 for (IntKey each : map.values()) { in testIntegerIteration()
85 for (Map.Entry<String, String> each : map.entrySet()) { in testStringIteration()
86 String key = each.getKey(); in testStringIteration()
96 for (String each : map.keySet()) { in testStringIteration()
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| /aosp_15_r20/external/libwebsockets/lib/drivers/button/ |
| H A D | lws-button.c | 56 /* incremented each time the mon timer cb happens */
92 lws_button_each_t *each = (lws_button_each_t *)arg; in lws_button_irq_cb_t() local
94 each->isr_pending = 1; in lws_button_irq_cb_t()
95 LWS_PLAT_TIMER_START(each->bcs->timer); in lws_button_irq_cb_t()
111 lws_button_each_t *each = (lws_button_each_t *)&bcs[1]; in LWS_PLAT_TIMER_CB() local
116 * The ISR and bottom-half is shared by all the buttons. Each gpio in LWS_PLAT_TIMER_CB()
119 * each->isr_pending and schedules this bottom half. in LWS_PLAT_TIMER_CB()
129 if (!each[n].isr_pending) in LWS_PLAT_TIMER_CB()
140 each[n].isr_pending = 0; in LWS_PLAT_TIMER_CB()
151 if (each[n].state == LBCS_IDLE) { in LWS_PLAT_TIMER_CB()
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| /aosp_15_r20/external/google-cloud-java/java-contact-center-insights/proto-google-cloud-contact-center-insights-v1/src/main/java/com/google/cloud/contactcenterinsights/v1/ |
| H A D | SettingsOrBuilder.java | 135 * A language code to be applied to each transcript segment unless the segment
149 * A language code to be applied to each transcript segment unless the segment
208 * A map that maps a notification trigger to a Pub/Sub topic. Each time a
212 * * "all-triggers": Notify each time any of the supported triggers occurs.
213 * * "create-analysis": Notify each time an analysis is created.
214 * * "create-conversation": Notify each time a conversation is created.
215 * * "export-insights-data": Notify each time an export is complete.
216 * * "update-conversation": Notify each time a conversation is updated via
218 * Values are Pub/Sub topics. The format of each Pub/Sub topic is:
229 * A map that maps a notification trigger to a Pub/Sub topic. Each time a
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| /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 | 30 // the data. Aggregation of time series is done in two steps. First, each time
35 // to each time series after its data has been divided into regular
45 // `group_by_fields`, and applying the reducer to each subset.
57 // points in each alignment period in a time series. Except for
58 // `ALIGN_NONE`, which specifies that no operation be applied, each alignment
59 // operation replaces the set of data values in each alignment period with
61 // An aligned time series has a single data value at the end of each
113 // Align the time series by returning the minimum value in each alignment
119 // Align the time series by returning the maximum value in each alignment
125 // Align the time series by returning the mean value in each alignment
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| /aosp_15_r20/external/googleapis/google/monitoring/dashboard/v1/ |
| H A D | common.proto | 31 // the data. Aggregation of time series is done in two steps. First, each time
36 // to each time series after its data has been divided into regular
46 // `group_by_fields`, and applying the reducer to each subset.
58 // points in each alignment period in a time series. Except for
59 // `ALIGN_NONE`, which specifies that no operation be applied, each alignment
60 // operation replaces the set of data values in each alignment period with
62 // An aligned time series has a single data value at the end of each
114 // Align the time series by returning the minimum value in each alignment
120 // Align the time series by returning the maximum value in each alignment
126 // Align the time series by returning the mean value in each alignment
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| /aosp_15_r20/prebuilts/cmake/linux-x86/share/cmake-3.22/Help/manual/ |
| D | cmake-file-api.7.rst | 81 Each client must choose a unique ``<client>`` identifier via its
91 each of the `Object Kinds`_ and get only the most recent version
100 identifying the client, and ``query.json`` is literal. Each client
129 A JSON array containing zero or more requests. Each request is
143 * a JSON array whose elements are each one of the above.
151 For each requested object kind CMake will choose the *first* version
157 for each major version.
262 are JSON strings specifying the absolute path to each tool,
282 as part of the reply. Each array entry is a
290 A member of this form appears for each of the
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| /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 | 26 * the data. Aggregation of time series is done in two steps. First, each time
30 * to each time series after its data has been divided into regular
39 * `group_by_fields`, and applying the reducer to each subset.
99 * points in each alignment period in a time series. Except for
100 * `ALIGN_NONE`, which specifies that no operation be applied, each alignment
101 * operation replaces the set of data values in each alignment period with
103 * An aligned time series has a single data value at the end of each
194 * Align the time series by returning the minimum value in each alignment
207 * Align the time series by returning the maximum value in each alignment
220 * Align the time series by returning the mean value in each alignment
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| /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 | 26 * the data. Aggregation of time series is done in two steps. First, each time
30 * to each time series after its data has been divided into regular
39 * `group_by_fields`, and applying the reducer to each subset.
99 * points in each alignment period in a time series. Except for
100 * `ALIGN_NONE`, which specifies that no operation be applied, each alignment
101 * operation replaces the set of data values in each alignment period with
103 * An aligned time series has a single data value at the end of each
194 * Align the time series by returning the minimum value in each alignment
207 * Align the time series by returning the maximum value in each alignment
220 * Align the time series by returning the mean value in each alignment
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| /aosp_15_r20/external/libwebsockets/minimal-examples/embedded/esp32/esp-c3dev/ |
| H A D | lws-button.c | 56 /* incremented each time the mon timer cb happens */
91 lws_button_each_t *each = (lws_button_each_t *)arg; in lws_button_irq_cb_t() local
93 each->isr_pending = 1; in lws_button_irq_cb_t()
94 LWS_PLAT_TIMER_START(each->bcs->timer); in lws_button_irq_cb_t()
109 lws_button_each_t *each = (lws_button_each_t *)&bcs[1]; in LWS_PLAT_TIMER_CB() local
113 * The ISR and bottom-half is shared by all the buttons. Each gpio in LWS_PLAT_TIMER_CB()
116 * each->isr_pending and schedules this bottom half. in LWS_PLAT_TIMER_CB()
126 if (!each[n].isr_pending) in LWS_PLAT_TIMER_CB()
137 each[n].isr_pending = 0; in LWS_PLAT_TIMER_CB()
148 if (each[n].state == LBCS_IDLE) { in LWS_PLAT_TIMER_CB()
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| /aosp_15_r20/packages/modules/HealthFitness/framework/java/android/health/connect/datatypes/ |
| D | RecordTypeIdentifier.java | 32 * Identifier for each data type, as returned by {@link Record#getRecordType()}. This is used at
43 * Record type to capture the number of steps taken since the last reading. Each step is only
44 * reported once so records shouldn't have overlapping time. The start time of each record
82 * Record type to capture the number of wheelchair pushes done over a time interval. Each push
83 * is only reported once so records shouldn't have overlapping time. The start time of each
93 * interval. The start time of each record should represent the start of the interval in which
95 * consider writing multiple distance records. The start time of each record should be equal to
111 * basal energy burned (BMR). Each record represents the total kilocalories burned over a time
119 * Record type to capture the menstruation period record. Each record contains the start / end
128 * Record type to capture the user's heart rate. Each record represents a series of
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| /aosp_15_r20/external/googleapis/google/monitoring/v3/ |
| H A D | common.proto | 104 // the data. Aggregation of time series is done in two steps. First, each time
109 // to each time series after its data has been divided into regular
119 // `group_by_fields`, and applying the reducer to each subset.
131 // points in each alignment period in a time series. Except for
132 // `ALIGN_NONE`, which specifies that no operation be applied, each alignment
133 // operation replaces the set of data values in each alignment period with
135 // An aligned time series has a single data value at the end of each
187 // Align the time series by returning the minimum value in each alignment
193 // Align the time series by returning the maximum value in each alignment
199 // Align the time series by returning the mean value in each alignment
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| /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 | 93 // the data. Aggregation of time series is done in two steps. First, each time
98 // to each time series after its data has been divided into regular
108 // `group_by_fields`, and applying the reducer to each subset.
120 // points in each alignment period in a time series. Except for
121 // `ALIGN_NONE`, which specifies that no operation be applied, each alignment
122 // operation replaces the set of data values in each alignment period with
124 // An aligned time series has a single data value at the end of each
176 // Align the time series by returning the minimum value in each alignment
182 // Align the time series by returning the maximum value in each alignment
188 // Align the time series by returning the mean value in each alignment
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|