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maven-core/src/site/apt/index.apt
on plugin goals execution order: * <<in a given phase, goals order is not expected to be guaranteed nor finely tuned>>: it is just a consequence of the order obtained during {{{../maven-model-builder/}effective model building}}, which combines profile activation+injection and inheritance assembly from parents,
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docs/en/docs/features.md
### Short It has sensible **defaults** for everything, with optional configurations everywhere. All the parameters can be fine-tuned to do what you need and to define the API you need. But by default, it all **"just works"**. ### Validation * Validation for most (or all?) Python **data types**, including: * JSON objects (`dict`).
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common/scripts/metallb-native.yaml
# Downloaded from https://github.com/metallb/metallb/raw/v0.13.12/config/manifests/metallb-native.yaml # With quay.io hub replaced with gcr.io/istio-testing # And probes tuned to startup faster apiVersion: v1 kind: Namespace metadata: labels: pod-security.kubernetes.io/audit: privileged pod-security.kubernetes.io/enforce: privileged pod-security.kubernetes.io/warn: privileged name: metallb-system --- apiVersion: apiextensions.k8s.io/v1
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doc/go_spec.html
and may explain why type inference fails in unusual code situations. But by and large these rules can be ignored when writing Go code: type inference is designed to mostly "work as expected", and the unification rules are fine-tuned accordingly. </p> <p> Type unification is controlled by a <i>matching mode</i>, which may be <i>exact</i> or <i>loose</i>. As unification recursively descends a composite type structure,
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RELEASE.md
under `tf.keras.dtensor` in this release (refer to the `tf.keras` entry). The tutoral and guide for DTensor will be published on https://www.tensorflow.org/. Please stay tuned. * [oneDNN CPU performance optimizations](https://github.com/tensorflow/community/blob/master/rfcs/20210930-enable-onednn-ops.md) are available in Linux x86, Windows x86, and Linux aarch64 packages.
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