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okhttp/src/main/kotlin/okhttp3/internal/connection/RealConnectionPool.kt
return state.policy.backoffDelayMillis.jitterBy(state.policy.backoffJitterMillis) * 1_000_000 } } private fun Long.jitterBy(amount: Int): Long { return this + ThreadLocalRandom.current().nextInt(amount * -1, amount) } class AddressState( val address: Address, val queue: TaskQueue, var policy: ConnectionPool.AddressPolicy, ) { /**
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docs/en/docs/deployment/concepts.md
If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly). ### Examples of Replication Tools and Strategies There can be several approaches to achieve this, and I'll tell you more about specific strategies in the next chapters, for example when talking about Docker and containers.
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docs/en/docs/benchmarks.md
* So, by using FastAPI you are saving development time, bugs, lines of code, and you would probably get the same performance (or better) you would if you didn't use it (as you would have to implement it all...
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okhttp/src/test/java/okhttp3/internal/connection/ConnectionPoolTest.kt
} private fun updateMaxConcurrentStreams( connection: Http2Connection, amount: Int, ) { val settings = Settings() settings[Settings.MAX_CONCURRENT_STREAMS] = amount connection.readerRunnable.applyAndAckSettings(true, settings) assertThat(connection.peerSettings[Settings.MAX_CONCURRENT_STREAMS]).isEqualTo(amount) taskFaker.runTasks() }
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okhttp/src/main/kotlin/okhttp3/internal/cache2/Relay.kt
* from this file as necessary. * * This class also keeps a small buffer of bytes recently read from upstream. This is intended to * save a small amount of file I/O and data copying. */ class Relay private constructor( /** * Read/write persistence of the upstream source and its metadata. Its layout is as follows: *
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docs/batch-jobs/README.md
token: "Bearer xxxxx" # optional authentication token for the notification endpoint retry: attempts: 10 # number of retries for the job before giving up delay: "500ms" # least amount of delay between each retry ``` You can create and run multiple 'replication' jobs at a time there are no predefined limits set. ## Batch Jobs Terminology ### Job
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maven-core/src/site/apt/inheritance.apt
modelVersion. This is required so that a change from modelVersion 4.0.0 to 4.1.0 doesn't cause compatibility problems with users who have not upgraded their projects. It also allows for a certain amount of legacy support into the future. Therefore, we should rename this file from pom.xml in the maven-core jarfile to pom-4.0.0.xml (and successive revisions to the base pom made to
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common-protos/k8s.io/api/autoscaling/v2beta2/generated.proto
// metrics contains the specifications for which to use to calculate the // desired replica count (the maximum replica count across all metrics will // be used). The desired replica count is calculated multiplying the // ratio between the target value and the current value by the current // number of pods. Ergo, metrics used must decrease as the pod count is // increased, and vice-versa. See the individual metric source types for
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docs/en/docs/tutorial/security/index.md
**FastAPI** provides several tools to help you deal with **Security** easily, rapidly, in a standard way, without having to study and learn all the security specifications. But first, let's check some small concepts. ## In a hurry?
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common-protos/k8s.io/api/autoscaling/v2/generated.proto
// metrics contains the specifications for which to use to calculate the // desired replica count (the maximum replica count across all metrics will // be used). The desired replica count is calculated multiplying the // ratio between the target value and the current value by the current // number of pods. Ergo, metrics used must decrease as the pod count is // increased, and vice-versa. See the individual metric source types for
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