import org.codelibs.fess.suggest.normalizer.Normalizer;
import org.codelibs.fess.suggest.settings.SuggestSettings;
import org.codelibs.opensearch.runner.OpenSearchRunner;
import org.opensearch.core.common.Strings;

import junit.framework.TestCase;

public class SuggesterBuilderTest extends TestCase {
    OpenSearchRunner runner;

    @Override
    public void setUp() throws Exception {
        runner = new OpenSearchRunner();

import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;
import org.codelibs.fess.suggest.normalizer.Normalizer;
import org.codelibs.fess.suggest.normalizer.NormalizerChain;

import junit.framework.TestCase;

public class DefaultContentsParserTest extends TestCase {
    DefaultContentsParser defaultContentsParser = new DefaultContentsParser();
    String[] supportedFields = new String[] { "content", "title" };

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
from tensorflow.python.lib.io import file_io as _fi

# Get sitepackages directories for the python installation.
_site_packages_dirs = []

    tar zxf - google-cloud-sdk && \
    google-cloud-sdk/install.sh --quiet
ENV PATH="$PATH:/google-cloud-sdk/bin/"

# Install various tools.
# - bats: bash unit testing framework
#         NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break
# - bazelisk: always use the correct bazel version

// gradient.
// If `grad` is null and `func` is in `g`, TF_GraphCopyFunction is a noop.
// `grad` must have appropriate signature as described in the doc of
// GradientDef in tensorflow/core/framework/function.proto.
//
// If successful, status is set to OK and `func` and `grad` are added to `g`.
// Otherwise, status is set to the encountered error and `g` is unmodified.

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/c_test_util.h"
#include "tensorflow/core/framework/common_shape_fns.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/lib/hash/hash.h"
#include "tensorflow/core/lib/strings/proto_serialization.h"

    output_package = "tensorflow._api.v2",
    packages_to_ignore = select({
        ":disable_tf_lite_py": [
            "tensorflow.python.framework.test_ops",
            "tensorflow.lite",
        ],
        "//conditions:default": ["tensorflow.python.framework.test_ops"],
    }),
    root_file_name = "v2.py",
    root_init_template = "api_template.__init__.py",
    visibility = ["//visibility:public"],
)

	<modelVersion>4.0.0</modelVersion>
	<artifactId>fess-crawler</artifactId>
	<packaging>jar</packaging>
	<name>Fess Crawler</name>
	<description>Fess Crawler is a crawler framework.</description>
	<parent>
		<groupId>org.codelibs.fess</groupId>
		<artifactId>fess-crawler-parent</artifactId>
		<version>15.3.0-SNAPSHOT</version>
		<relativePath>../pom.xml</relativePath>
	</parent>
	<build>

- **Java**: 21+ (configured via parent POM)
- **OpenSearch**: Latest (provided scope)
- **Apache Lucene**: Query parsing and text analysis
- **ICU4J**: Unicode text processing and normalization
- **JUnit 4**: Testing framework
- **Maven**: Build and dependency management

## Quick Start

### Prerequisites

- Java 21 or higher
- OpenSearch/Elasticsearch cluster (2.x+ recommended)
- Maven 3.8+ for building from source

deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a