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/external/python/google-api-python-client/tests/data/
Dtasks.json3 "id": "tasks:v1",
4 "name": "tasks",
6 "title": "Tasks API",
7 "description": "Lets you manage your tasks and task lists.",
9 "x16": "http://www.google.com/images/icons/product/tasks-16.png",
10 "x32": "http://www.google.com/images/icons/product/tasks-32.png"
12 "documentationLink": "http://code.google.com/apis/tasks/v1/using.html",
17 "basePath": "/tasks/v1/",
19 "servicePath": "tasks/v1/",
63 "https://www.googleapis.com/auth/tasks": {
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/external/toolchain-utils/bestflags/
Dpipeline_worker.py8 This module defines the helper and the worker. If there are duplicate tasks, for
13 The worker invokes the work method of the tasks that are not duplicate.
22 """Helper that filters duplicate tasks.
24 This method Continuously pulls duplicate tasks from the helper_queue. The
25 duplicate tasks need not be compiled/tested. This method also pulls completed
26 tasks from the worker queue and let the results of the duplicate tasks be the
32 done_dict: A dictionary of tasks that are done. The key of the dictionary is
35 helper_queue: A queue of duplicate tasks whose results need to be resolved.
38 completed_queue: A queue of tasks that have been built/tested. The results
39 of these tasks are needed to resolve the results of the duplicate tasks.
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Dsteering_test.py25 # The number of tasks to be put in each generation to be tested.
28 # The stride of permutation used to shuffle the input list of tasks. Should be
40 def __init__(self, tasks, next_generations): argument
44 tasks: A set of tasks to be run.
48 Generation.__init__(self, tasks, None)
64 generation. The steering algorithm should send all the tasks to the next stage
71 """Test that the steering algorithm processes all the tasks properly.
73 Test that the steering algorithm sends all the tasks to the next stage. Test
74 that the steering algorithm terminates once all the tasks have been
75 processed, i.e., the results for the tasks are all ready.
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Dsteering.py4 """The framework stage that produces the next generation of tasks to run.
15 """The core method template that produces the next generation of tasks to run.
17 This method waits for the results of the tasks from the previous generation.
19 next generation of tasks.
23 produced by combining two parents tasks, while in the hill climbing algorithm,
27 method, produces the next generation and submits the tasks in this generation
33 generations: The initial generations of tasks to be run.
36 result_queue: The output task queue for this pipeline stage. The new tasks
41 # Generations that have pending tasks to be executed. Pending tasks are those
42 # whose results are not ready. The tasks that have their results ready are
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Dgeneration.py4 """A generation of a set of tasks.
8 This module contains the base generation class. This class contains the tasks of
10 until all the tasks in this generation are done executing. It also contains a
11 set of tasks that could potentially be used to generate the next generation,
35 """Set up the tasks set of this generation.
38 exe_set: A set of tasks to be run.
39 candidate_pool: A set of tasks to be considered to be used to generate the
46 # Keeping the record of how many tasks are pending. Pending tasks are the
49 # generations until all its pending tasks have been executed.
53 """Return the candidate tasks of this generation."""
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/external/tensorflow/tensorflow/lite/delegates/gpu/metal/kernels/
DBUILD25 "//tensorflow/lite/delegates/gpu/common/tasks:add_test_util",
48 "//tensorflow/lite/delegates/gpu/common/tasks:concat_test_util",
71 "//tensorflow/lite/delegates/gpu/common/tasks:conv_metal",
72 "//tensorflow/lite/delegates/gpu/common/tasks:conv_powervr_test_util",
73 "//tensorflow/lite/delegates/gpu/common/tasks:winograd",
96 "//tensorflow/lite/delegates/gpu/common/tasks:conv_weights_converter_test_util",
119 "//tensorflow/lite/delegates/gpu/common/tasks:depthwise_conv_3x3_stride_h2_test_util",
120 "//tensorflow/lite/delegates/gpu/common/tasks:depthwise_conv_3x3_test_util",
121 "//tensorflow/lite/delegates/gpu/common/tasks:depthwise_conv_test_util",
144 "//tensorflow/lite/delegates/gpu/common/tasks:elementwise_test_util",
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/external/python/google-api-python-client/docs/dyn/
Dcloudtasks_v2beta3.projects.locations.queues.html75 <h1><a href="cloudtasks_v2beta3.html">Cloud Tasks API</a> . <a href="cloudtasks_v2beta3.projects.ht…
78 <code><a href="cloudtasks_v2beta3.projects.locations.queues.tasks.html">tasks()</a></code>
80 <p class="firstline">Returns the tasks Resource.</p>
108 <p class="firstline">Purges a queue by deleting all of its tasks.</p>
123 Queues created with this method allow tasks to live for a maximum of 31
131 queue.yaml](https://cloud.google.com/tasks/docs/queue-yaml) before using
141 Tasks' implementation of
146 { # A queue is a container of related tasks. Queues are configured to manage
147 # how those tasks are dispatched. Configurable properties include rate limits,
194 # * Number of tasks in the queue
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Dcloudtasks_v2.projects.locations.queues.html75 <h1><a href="cloudtasks_v2.html">Cloud Tasks API</a> . <a href="cloudtasks_v2.projects.html">projec…
78 <code><a href="cloudtasks_v2.projects.locations.queues.tasks.html">tasks()</a></code>
80 <p class="firstline">Returns the tasks Resource.</p>
108 <p class="firstline">Purges a queue by deleting all of its tasks.</p>
123 Queues created with this method allow tasks to live for a maximum of 31
131 queue.yaml](https://cloud.google.com/tasks/docs/queue-yaml) before using
141 Tasks' implementation of
146 { # A queue is a container of related tasks. Queues are configured to manage
147 # how those tasks are dispatched. Configurable properties include rate limits,
185 # * Number of tasks in the queue
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Dcloudtasks_v2beta2.projects.locations.queues.html75 <h1><a href="cloudtasks_v2beta2.html">Cloud Tasks API</a> . <a href="cloudtasks_v2beta2.projects.ht…
78 <code><a href="cloudtasks_v2beta2.projects.locations.queues.tasks.html">tasks()</a></code>
80 <p class="firstline">Returns the tasks Resource.</p>
108 <p class="firstline">Purges a queue by deleting all of its tasks.</p>
123 Queues created with this method allow tasks to live for a maximum of 31
131 queue.yaml](https://cloud.google.com/tasks/docs/queue-yaml) before using
141 Tasks' implementation of
146 { # A queue is a container of related tasks. Queues are configured to manage
147 # how those tasks are dispatched. Configurable properties include rate limits,
172 # control task attempts however they control how tasks are
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Dcloudtasks_v2beta2.projects.locations.queues.tasks.html75Tasks API</a> . <a href="cloudtasks_v2beta2.projects.html">projects</a> . <a href="cloudtasks_v2be…
94 <p class="firstline">Leases tasks from a pull queue for</p>
97 <p class="firstline">Lists the tasks in a queue.</p>
128 `projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID` (required)
176 `projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID` (required)
199 # `cloudtasks.tasks.fullView` [Google IAM](https://cloud.google.com/iam/)
215 # This field is not calculated for pull tasks.
250 # The other AttemptStatus information is not retained by Cloud Tasks.
252 # This field is not calculated for pull tasks.
290 # This field is not calculated for pull tasks.
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Dcloudtasks_v2beta3.projects.locations.queues.tasks.html75Tasks API</a> . <a href="cloudtasks_v2beta3.projects.html">projects</a> . <a href="cloudtasks_v2be…
88 <p class="firstline">Lists the tasks in a queue.</p>
100 Tasks cannot be updated after creation; there is no UpdateTask command.
125 # `cloudtasks.tasks.fullView` [Google IAM](https://cloud.google.com/iam/)
132 # `projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID`.
139 # past then Cloud Tasks will set it to the current time.
147 # If the task's queue was created using Cloud Tasks, then another task with
160 # uniform distribution of task ids to store and serve tasks
175 # * System throttling: To prevent the worker from overloading, Cloud Tasks may
181 # * Cloud Tasks backoffs on all errors. Normally the backoff specified in
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/external/tensorflow/tensorflow/lite/delegates/gpu/common/selectors/
DBUILD103 "//tensorflow/lite/delegates/gpu/common/tasks:elementwise",
104 "//tensorflow/lite/delegates/gpu/common/tasks:mean_stddev_normalization",
105 "//tensorflow/lite/delegates/gpu/common/tasks:transpose",
121 "//tensorflow/lite/delegates/gpu/common/tasks:add",
122 "//tensorflow/lite/delegates/gpu/common/tasks:concat_xy",
123 "//tensorflow/lite/delegates/gpu/common/tasks:concat_z",
124 "//tensorflow/lite/delegates/gpu/common/tasks:depthwise_conv",
125 "//tensorflow/lite/delegates/gpu/common/tasks:lstm",
126 "//tensorflow/lite/delegates/gpu/common/tasks:max_unpooling",
127 "//tensorflow/lite/delegates/gpu/common/tasks:padding",
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/external/autotest/site_utils/
Djob_history.py7 # including special tasks executed before and after the job, and each steps
29 # tasks. This is to guarantee to include reset before the job starts and repair
120 """A cache to hold tasks for multiple hosts.
126 """Try to get tasks from cache.
132 @return: The list of special tasks that are related to given host and
134 However, [] means no special tasks found in cache.
150 tasks = models.SpecialTask.objects.filter(
154 self[host_id] = TaskCache(tasks, search_start_time, search_end_time)
158 """A cache that hold tasks for a host.
161 def __init__(self, tasks=[], start_time=None, end_time=None): argument
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/external/grpc-grpc-java/core/src/test/java/io/grpc/internal/
DFakeClock.java37 * <p>To simulate the locking scenario of using real executors, it never runs tasks within {@code
39 * method to run all due tasks. {@link #forwardTime} and {@link #forwardNanos} call {@link
53 private final PriorityBlockingQueue<ScheduledTask> tasks = field in FakeClock
82 tasks.remove(this); in cancel()
119 tasks.add(task); in schedule()
137 @Override public <T> List<Future<T>> invokeAll(Collection<? extends Callable<T>> tasks) { in invokeAll() argument
142 Collection<? extends Callable<T>> tasks, long timeout, TimeUnit unit) { in invokeAll() argument
146 @Override public <T> T invokeAny(Collection<? extends Callable<T>> tasks) { in invokeAny() argument
151 Collection<? extends Callable<T>> tasks, long timeout, TimeUnit unit) { in invokeAny() argument
212 * Run all due tasks.
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/external/libabigail/src/
Dabg-workers.cc11 /// pattern. It aims at performing a set of tasks in parallel, using
42 /// The main interface of this pattern is a @ref queue of @ref tasks
54 /// queue". Then the thread looks at the @ref queue of tasks to be
62 /// Note that the user of the queue can either wait for all the tasks
64 /// vector of done tasks and proceed to whatever computation she may
108 // A mutex that protects the todo tasks queue from being accessed in
113 // todo tasks. Whenever a new task is added to that queue, a signal
116 // A mutex that protects the done tasks queue from being accessed in
120 // used to wait for tasks completed when bringing the workers down.
127 // task has been completed and has been added to the done tasks
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/external/libchrome/base/task_scheduler/
Dtask_scheduler.h44 // The task scheduler doesn't create threads until Start() is called. Tasks can
87 // Allows the task scheduler to create threads and run tasks following the
100 // For one off tasks that don't require a TaskRunner.
106 // Returns a TaskRunner whose PostTask invocations result in scheduling tasks
107 // using |traits|. Tasks may run in any order and in parallel.
112 // scheduling tasks using |traits|. Tasks run one at a time in posting order.
117 // scheduling tasks using |traits|. Tasks run on a single thread in posting
126 // scheduling tasks using |traits| in a COM Single-Threaded Apartment. Tasks
142 // Synchronously shuts down the scheduler. Once this is called, only tasks
144 // - All SKIP_ON_SHUTDOWN tasks that were already running have completed their
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/external/libchrome/base/message_loop/
Dincoming_task_queue.h23 // Implements a queue of tasks posted to the message loop running on the current
24 // thread. This class takes care of synchronizing posting tasks from different
60 // Whether this queue has tasks.
63 // Removes all tasks.
84 // when tasks are queued. |task_queue_observer| will be bound to this
91 // Appends a task to the incoming queue. Posting of all tasks is routed though
103 // Instructs this IncomingTaskQueue to stop accepting tasks, this cannot be
129 // maintaining three queue queues to process tasks:
132 // The first queue to receive all tasks for the processing sequence (when
133 // reloading from the thread-safe |incoming_queue_|). Tasks are generally
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/external/tensorflow/tensorflow/lite/delegates/gpu/common/selectors/default/
DBUILD19 "//tensorflow/lite/delegates/gpu/common/tasks:conv_buffer_1x1",
20 "//tensorflow/lite/delegates/gpu/common/tasks:conv_constants",
21 "//tensorflow/lite/delegates/gpu/common/tasks:conv_metal",
22 "//tensorflow/lite/delegates/gpu/common/tasks:conv_powervr",
23 "//tensorflow/lite/delegates/gpu/common/tasks:conv_weights_converter",
37 "//tensorflow/lite/delegates/gpu/common/tasks:convolution_transposed",
38 "//tensorflow/lite/delegates/gpu/common/tasks:convolution_transposed_3x3",
39 "//tensorflow/lite/delegates/gpu/common/tasks:convolution_transposed_3x3_thin",
40 "//tensorflow/lite/delegates/gpu/common/tasks:convolution_transposed_4x4",
41 "//tensorflow/lite/delegates/gpu/common/tasks:convolution_transposed_thin",
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/external/skia/infra/bots/
DREADME.md7 Tasks and Jobs
10 Files in this directory define a DAG of tasks which run at every Skia commit. A
12 pool. Tasks may be chained together, eg. one task to compile test binaries and
15 Jobs are collections of related tasks which help define sub-sections of the DAG,
19 The tasks.json file in this directory is the list of tasks and jobs for
20 the repo. Note that tasks.json is NEVER edited by hand but generated via
23 reads the tasks.json file at each commit to determine which jobs to run. For
24 convenience, gen_tasks.go is provided to generate tasks.json and also to test it
25 for correct syntax and detecting cycles and orphaned tasks. Always edit
26 gen_tasks.go or one of the following input JSON files, rather than tasks.json
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/external/skqp/infra/bots/
DREADME.md7 Tasks and Jobs
10 Files in this directory define a DAG of tasks which run at every Skia commit. A
12 pool. Tasks may be chained together, eg. one task to compile test binaries and
15 Jobs are collections of related tasks which help define sub-sections of the DAG,
19 The tasks.json file in this directory is the master list of tasks and jobs for
20 the repo. Note that tasks.json is NEVER edited by hand but generated via
23 reads the tasks.json file at each commit to determine which jobs to run. For
24 convenience, gen_tasks.go is provided to generate tasks.json and also to test it
25 for correct syntax and detecting cycles and orphaned tasks. Always edit
26 gen_tasks.go or one of the following input JSON files, rather than tasks.json
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/external/ltp/testcases/kernel/controllers/cpuctl/
Dcpuctl_testplan.txt18 * of this group and it would create no effect on tasks in other group. So a
21 * Even if task is run with different nice value it will affect the tasks in
43 tasks in different groups on the basis of the shares assigned to that group.
46 number of tasks in that group(in this case only 1).
51 respectively. Hence if the tasks are running infinitely they are supposed to
67 of system default tasks which can run any time.
93 Renice all tasks of a group to -20 and let tasks in all other groups run with
99 In this test for the first run the test is run with say n tasks in m groups.
103 Test 06-08 : NUM GROUPS vs NUMBER of TASKS TEST
105 In the following three testcases a total tasks are same and each task is
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/external/rust/crates/futures/tests/
Dstream_select_all.rs9 let mut tasks = SelectAll::new(); in is_terminated() localVariable
11 assert_eq!(tasks.is_terminated(), false); in is_terminated()
12 assert_eq!(tasks.poll_next_unpin(&mut cx), Poll::Ready(None)); in is_terminated()
13 assert_eq!(tasks.is_terminated(), true); in is_terminated()
16 assert_eq!(tasks.is_empty(), true); in is_terminated()
17 assert_eq!(tasks.len(), 0); in is_terminated()
19 tasks.push(future::ready(1).into_stream()); in is_terminated()
21 assert_eq!(tasks.is_empty(), false); in is_terminated()
22 assert_eq!(tasks.len(), 1); in is_terminated()
24 assert_eq!(tasks.is_terminated(), false); in is_terminated()
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/external/swiftshader/third_party/marl/docs/
Dscheduler.md8 - [Tasks](#tasks)
19 …complex part of marl and is responsible for executing tasks and keeping threads running when tasks
35 …scheduling tasks when there are no [Multi-Threaded-Workers](#multi-threaded-workers) available. Un…
47 ## Tasks section in `marl::Scheduler`
51 Tasks are scheduled using `marl::schedule()`, and are typically implemented as a lambda:
76 - `work.tasks` - A queue of tasks, yet to be started.
79 - `work.num` - A counter that is kept in sync with `work.tasks.size() + work.fibers.size()`.
83 …e()`, a worker is picked, and the task is placed on to the worker's `work.tasks` queue. The worker…
97 - Calls [`runUntilIdle()`](#marlschedulerworkerrununtilidle) to process all new tasks and fibers. N…
111 1. Resume any unblocked tasks (fibers)
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/external/tensorflow/tensorflow/python/distribute/cluster_resolver/
Dslurm_cluster_resolver_test.py77 job { name: 'worker' tasks { key: 0 value: 't02n13:8888' }
78 tasks { key: 1 value: 't02n41:8888' }
79 tasks { key: 2 value: 't02n43:8888' } }
108 job { name: 'ps' tasks { value: 't02n13:8888' } }
109 job { name: 'worker' tasks { key: 0 value: 't02n41:8888' }
110 tasks { key: 1 value: 't02n43:8888' } }
162 job { name: 'ps' tasks { value: 't02n13:8888' } }
163 job { name: 'worker' tasks { key: 0 value: 't02n41:8888' }
164 tasks { key: 1 value: 't02n43:8888' } }
189 job { name: 'ps' tasks { value: 't02n13:8888' } }
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DREADME_Slurm.md5 able to handle homogeneous and heterogeneous tasks as long as the number of GPUs
20 the total number of tasks launched is extracted from `SLURM_STEP_NUM_TASKS`. The
21 hostnames are resolved by inspection `SLURM_STEP_NODELIST`. The number of tasks
25 tasks or a dictionary mapping node names to number of tasks for heterogeneous
30 launched per node the port number will be incremented for each additional tasks
33 The number of GPUs present on each node and number of GPUs for each tasks are
54 vary): `job { name: "worker" tasks { key: 0 value: "t02n13:8888" } tasks { key:
55 1 value: "t02n13:8889" } tasks { key: 2 value: "t02n41:8888" } tasks { key: 3
74 protobuf specification will look similar to this: `job { name: "ps" tasks { key:
75 0 value: "t02n13:1337" } } job { name: "worker" tasks { key: 0 value:
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