import org.apache.maven.model.Repository;
import org.apache.maven.model.Resource;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblem.Severity;
import org.apache.maven.model.building.ModelProblem.Version;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.building.ModelProblemCollectorRequest;
import org.apache.maven.model.interpolation.ModelVersionProcessor;

        ":is_cuda_compiler_nvcc",
    ],
)

# Config setting that is satisfied when building with --config=cuda in OSS.
selects.config_setting_group(
    name = "is_cuda_enabled_and_oss",
    match_all = [
        ":is_cuda_enabled",
        ":oss",
    ],
)

# Config setting that is satisfied when building with --config=cuda for Windows
selects.config_setting_group(
    name = "is_cuda_enabled_and_windows",

import org.apache.maven.api.services.MessageBuilder;
import org.apache.maven.api.services.MessageBuilderFactory;
import org.apache.maven.building.FileSource;
import org.apache.maven.building.Problem;
import org.apache.maven.building.Source;
import org.apache.maven.cli.configuration.ConfigurationProcessor;
import org.apache.maven.cli.configuration.SettingsXmlConfigurationProcessor;

import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginManagement;
import org.apache.maven.model.Profile;
import org.apache.maven.model.Repository;
import org.apache.maven.model.building.ModelProblem.Severity;
import org.apache.maven.model.building.ModelProblem.Version;
import org.apache.maven.model.composition.DependencyManagementImporter;
import org.apache.maven.model.inheritance.InheritanceAssembler;

# CUDA: This config refers to building CUDA op kernels with nvcc.
common:cuda --repo_env TF_NEED_CUDA=1
common:cuda --@local_config_cuda//:enable_cuda
common:cuda --config=cuda_version
# This flag is needed to include CUDA libraries.
common:cuda --@local_config_cuda//cuda:include_cuda_libs=true

# This configuration is used for building the wheels.

   * building caches whose key or value types are incompatible with the types accepted by the
   * weigher already provided; the {@code CacheBuilder} type cannot do this. For best results,
   * simply use the standard method-chaining idiom, as illustrated in the documentation at top,
   * configuring a {@code CacheBuilder} and building your {@link Cache} all in a single statement.
   *

                                    0); // Single exception, no need to wrap it in a LifecycleExecutionException
                        } else {
                            failure = new LifecycleExecutionException("Error building project");
                            failures.forEach(failure::addSuppressed);
                        }
                        handleBuildError(reactorContext, session, step.project, failure);

   * building caches whose key or value types are incompatible with the types accepted by the
   * weigher already provided; the {@code CacheBuilder} type cannot do this. For best results,
   * simply use the standard method-chaining idiom, as illustrated in the documentation at top,
   * configuring a {@code CacheBuilder} and building your {@link Cache} all in a single statement.
   *

            }
        }
        return defaultValue;
    }

    /**
     * Gets the maximum characters for context building for a specific prompt type.
     * Each LlmClient implementation defines per-prompt-type defaults appropriate
     * for its target model.
     *
     * @param promptType the prompt type (e.g., "answer", "summary", "faq")

 *
 * <p>For up-to-date Unicode character properties (digit, letter, etc.) and support for
 * supplementary code points, use ICU4J UCharacter and UnicodeSet (freeze() after building). For
 * basic text processing based on UnicodeSet use the ICU4J UnicodeSetSpanner.
 *
 * <p>Example usages:
 *
 * <pre>
 *   String trimmed = {@link #whitespace() whitespace()}.{@link #trimFrom trimFrom}(userInput);