* KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.project.artifact;

import javax.inject.Named;
import javax.inject.Singleton;

import java.io.File;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.LinkedHashMap;
import java.util.LinkedHashSet;

# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(
    name = "tensorflow_framework",
    additional_linker_inputs = [

import org.apache.maven.model.interpolation.reflection.MethodMap.AmbiguousException;

/**
 * Using simple dotted expressions to extract the values from an Object instance using JSP-like expressions
 * such as {@code project.build.sourceDirectory}.
 * <p>
 * In addition to usual getters using {@code getXxx} or {@code isXxx} suffixes, accessors
 * using {@code asXxx} or {@code toXxx} prefixes are also supported.
 *

     * For example, an artifact of type {@value org.apache.maven.api.Type#JAR} can be placed
     * either on the class-path or on the module-path. The project needs to make a choice
     * (possibly using heuristic rules), then add the dependency in only one of the paths
     * identified by {@link PathType}.
     *
     * @return file paths to place on the different tool options

    // together and this really shows the problem of constructing a sensible default configuration, but
    // it's all encapsulated here so it appears normalized to the POM builder.

    // We are going to take the project packaging and find all plugins in the default lifecycle and create
    // fully populated Plugin objects, including executions with goals and default configuration taken
    // from the plugin.xml inside a plugin.

    @Override

# read by setup.py.
if [[ "$TFCI_INSTALLER_WHL_ENABLE" == 1 ]]; then
  export collaborator_build=True
  # If building nightly installer wheels, set the project name to
  # nightly equivalent.
  if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
    export TFCI_INSTALLER_WHL_PROJECT_NAME="$TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME"
  fi

 *          If a goal is provided instead of a phase, that goal will be executed in isolation.
 *          The execution of either will not affect the current project, but instead make available the
 *          <code>${executedProject}</code> expression if required. An alternate lifecycle can also be provided:
 *          for more information see the documentation on the

@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

Now in the same project directory create a file `Dockerfile` with:

```{ .dockerfile .annotate }
# (1)!
FROM python:3.9

# (2)!
WORKDIR /code

# (3)!
COPY ./requirements.txt /code/requirements.txt

# (4)!

  exit 1
fi

# traverses directory structure from process work directory to filesystem root
# first directory with .mvn subdirectory is considered project base directory
find_maven_basedir() {
(
  basedir=`find_file_argument_basedir "$@"`
  wdir="$basedir"
  while :
  do
    if [ -d "$wdir"/.mvn ] ; then
      basedir=$wdir
      break
    fi

    durationsPerTestProject.forEach { (key, value) ->
        if (value.size !=
            1
        ) {
            throw IllegalArgumentException("More than one scenario split for test project $key: $projectDurations")
        }
    }
    return durationsPerTestProject
        .mapValues { (_, durations) -> durations.flatten().map { it.scenario } }
}

class EmptyTestProjectBucket(