# Enable TF2 behaviors
from tensorflow.python.compat import v2_compat as _compat
_compat.enable_v2_behavior()
_major_api_version = 2


# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll
from tensorflow.python.lib.io import file_io as _fi

import org.apache.maven.model.plugin.DefaultPluginConfigurationExpander;
import org.apache.maven.model.plugin.DefaultReportConfigurationExpander;
import org.apache.maven.model.plugin.DefaultReportingConverter;
import org.apache.maven.model.plugin.LifecycleBindingsInjector;
import org.apache.maven.model.plugin.PluginConfigurationExpander;
import org.apache.maven.model.plugin.ReportConfigurationExpander;

                    plugins {
                        base
                        kotlin("jvm") version "$embeddedKotlinVersion" apply false
                    }
                    subprojects {
                        apply(plugin = "gradlebuild.module-identity")
                        apply(plugin = "kotlin")

   | way you don't have to hardcode paths in your pom.xml.
   |
   | Every toolchain consist of 3 elements:
   | * type: the type of tool. An often used value is 'jdk'. Toolchains-aware
   |   plugins should document which type you must use.
   |
   | * provides: A list of key/value-pairs.
   |   Based on the toolchain-configuration in the pom.xml Maven will search for

            The lists of the remote repositories for discovering plugins.
          </description>
          <association>
            <type>Repository</type>
            <multiplicity>*</multiplicity>
          </association>
          <comment>
            This may be removed or relocated in the near
            future. It is undecided whether plugins really need a remote
            repository set of their own.

- Scheduler no longer runs the plugin's `Filter` method when its `PreFilter` method returned a Skip status.
  In other words, your `PreFilter`/`Filter` plugin can return a Skip status in `PreFilter` if the plugin does nothing in Filter for that Pod.
  Scheduler skips `NodeAffinity` Filter plugin when `NodeAffinity` Filter plugin has nothing to do with a Pod.

    public static final String MAVEN_RESOLVER_TRANSPORT = "maven.resolver.transport";

    /**
     * Plugin validation level.
     *
     * @since 3.9.2
     */
    @Config(defaultValue = "inline")
    public static final String MAVEN_PLUGIN_VALIDATION = "maven.plugin.validation";

    /**
     * Plugin validation exclusions.
     *
     * @since 3.9.6
     */
    @Config

  <id>lifecycle</id>
  <name>Lifecycle</name>
  <description>
    Configuration of custom lifecycle mappings for the plugin, as generally stored in
    {@code META-INF/maven/lifecycle.xml} in a plugin's jar artifact.
  </description>
  <classes>
    <class rootElement="true" xml.tagName="lifecycles" xsd.compositor="sequence">
      <name>LifecycleConfiguration</name>

      "keras.api._v1.keras.__internal__.legacy.rnn_cell")
_current_module.nn.__path__ = [_module_dir] + _current_module.nn.__path__

del importlib

# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll

    /**
     * Indicates whether plugin executions and configurations should be processed. If enabled, lifecycle-induced plugin
     * executions will be injected into the model and common plugin configuration will be propagated to individual
     * executions.
     *
     * @return {@code true} if plugins should be processed, {@code false} otherwise.
     */
    boolean isProcessPlugins();