<jsp:param name="menuType" value="labelType"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.labeltype_configuration"/>

        <jsp:param name="menuType" value="dataConfig"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.data_crawling_title_details"/>

        <jsp:param name="menuType" value="design"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.design_configuration"/>
                        </h1>

import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.annotations.Nullable;
import org.apache.maven.api.annotations.Provider;
import org.apache.maven.api.annotations.ThreadSafe;

/**
 * A container for data that is specific to a session.
 * All components may use this storage to associate arbitrary data with a session.
 * <p>

                    : Map.of();
        } catch (LookupException e) {
            throw new IllegalStateException("Unable to lookup lifecycles from the plexus container", e);
        }
    }

    public String getLifecyclePhaseList() {
        return getLifeCycles().stream().flatMap(l -> l.getPhases().stream()).collect(Collectors.joining(", "));
    }

# different compilation methods. E.g. for a PR to test a new CUDA version, set
# the CACHEBUSTER to the PR number.
build --action_env=CACHEBUSTER=20220325

# Use Python 3.X as installed in container image
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

        <jsp:param name="menuType" value="scheduler"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.scheduledjob_title_details"/>

/// info

如果你使用 Kubernetes，这可能是 <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init Container</a>。

///

如果在你的用例中，运行前面的步骤**并行多次**没有问题（例如，如果你没有运行数据库迁移，而只是检查数据库是否已准备好），那么你也可以将它们放在开始主进程之前在每个容器中。

### 单容器

This platform does not provide special support for a particular kind of automation. This is the responsibility of other platforms.

It is made up of 3 architecture modules:

- **core-runtime**: Provides the runtimes or "containers" in which code runs. These runtimes include the Gradle client, the daemon and the worker processes. This is the base module on which all other architecture modules depend.

	)
	// We have to handle a special case for MINIO_KMS_SECRET_KEY and
	// MINIO_KMS_SECRET_KEY_FILE. The docker image always sets the
	// MINIO_KMS_SECRET_KEY_FILE - either to the argument passed to
	// the container or to a default string (e.g. "minio_master_key").
	//
	// We have to distinguish a explicit config from an implicit. Hence,
	// we unset the env. vars if they are set but empty or contain a path