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.cm/platform_labels.cm
- commit - comment_added automations: # Label changes by affected platforms (in blue) {% for platform in platforms %} platform_label_{{ platform.name }}: if: - {{ ('platform_labels' | isEnabledAutomation(pr)) }} - {{ files | byPlatform | categorize(branch.diff.files_metadata) | readField(platform.name, 'files') | nullToEmpty | some }} run: - action: add-label@v1 args:
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/diagnostics/KtFirDataClassConverters.kt
add(FirErrors.REDUNDANT_LABEL_WARNING) { firDiagnostic -> RedundantLabelWarningImpl( firDiagnostic as KtPsiDiagnostic, token, ) } add(FirErrors.MULTIPLE_LABELS_ARE_FORBIDDEN) { firDiagnostic -> MultipleLabelsAreForbiddenImpl( firDiagnostic as KtPsiDiagnostic, token, ) }
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cni/README.md
- `istio-iptables` - sets up iptables to redirect a list of ports to the port envoy will listen - shared code with istio-init container - it will generate an iptables-save config, based on annotations/labels and other settings, and apply it. ### CmdAdd Sidecar Workflow `CmdAdd` is triggered when there is a new pod created. This runs on the node, in a chain of CNI plugins - Istio is
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okhttp/src/main/kotlin/okhttp3/internal/http2/Http2Connection.kt
// TODO: configure a timeout on the reader so that it doesn’t block forever. writer.goAway(lastGoodStreamId, statusCode, EMPTY_BYTE_ARRAY) } } /** * Closes this connection. This cancels all open streams and unanswered pings. It closes the * underlying input and output streams and shuts down internal task queues. */ override fun close() { close(ErrorCode.NO_ERROR, ErrorCode.CANCEL, null) }
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RELEASE.md
predictions), and force use of named args. * tf.nn.rnn_cell.* and most functions in tf.nn.rnn.* (with the exception of dynamic_rnn and raw_rnn) are temporarily in tf.contrib.rnn. They will be moved back into core for TF 1.2. * `tf.nn.sampled_softmax_loss` and `tf.nn.nce_loss` have both changed their API such that you need to switch the `inputs, labels` to `labels, inputs`
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CONTRIBUTING.md
``` Here are the steps to resolve the issue: 1. Open the failure report mentioned in the output.\ If you don't see the report link in the output in the IDE, make sure to select the top-level node in the structured output panel. The report will explain the errors in detail. Perhaps, you forgot to add an `@Incubating` annotation or `@since` in the javadoc. 2. Accept the changes.\
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okhttp/src/main/kotlin/okhttp3/internal/connection/ConnectPlan.kt
) } override fun connectTcp(): ConnectResult { check(rawSocket == null) { "TCP already connected" } var success = false // Tell the call about the connecting call so async cancels work. user.addPlanToCancel(this) try { user.connectStart(route) connectSocket() success = true return ConnectResult(plan = this) } catch (e: IOException) {
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docs/metrics/v3.md
|-----------------|--------------------------------------------------| | `/api/requests` | Metrics over all requests | | `/api/bucket` | Metrics over all requests split by bucket labels | | | | ### System metrics These are metrics about the minio process and the node.
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analysis/analysis-api-fe10/src/org/jetbrains/kotlin/analysis/api/descriptors/types/KtFe10FunctionalType.kt
get() = withValidityAssertion { fe10Type.getContextReceiverTypesFromFunctionType().map { receiverType -> // Context receivers in function types may not have labels, hence the `null` label. KtContextReceiverImpl( receiverType.toKtType(analysisContext), label = null, analysisContext.token, )
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docs/metrics/prometheus/list.md
# Cluster Metrics MinIO collects the following metrics at the cluster level. Metrics may include one or more labels, such as the server that calculated that metric. These metrics can be obtained from any MinIO server once per collection by using the following URL: ```shell https://HOSTNAME:PORT/minio/v2/metrics/cluster ``` Replace ``HOSTNAME:PORT`` with the hostname of your MinIO deployment.
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