from pathlib import Path

import pytest
from typer.testing import CliRunner

from scripts.translation_fixer import cli

data_path = Path(
    "scripts/tests/test_translation_fixer/test_markdown_links/data"
).absolute()


@pytest.mark.parametrize(
    "copy_test_files",
    [(f"{data_path}/en_doc.md", f"{data_path}/translated_doc_number_gt.md")],
    indirect=True,
)
def test_gt(runner: CliRunner, root_dir: Path, copy_test_files):

 * the License.
 */

/**
 * Utility methods and classes for I/O; for example input streams, output streams, readers, writers,
 * and files.
 *
 * <p>At the core of this package are the Source/Sink types: {@link ByteSource ByteSource}, {@link
 * CharSource CharSource}, {@link ByteSink ByteSink} and {@link CharSink CharSink}. They are
 * factories for I/O streams that provide many convenience methods that handle both opening and

			Type:        "on|off",
			Optional:    true,
			Sensitive:   false,
		},
		config.HelpKV{
			Key:         Extensions,
			Description: `comma separated file extensions` + defaultHelpPostfix(Extensions),
			Optional:    true,
			Type:        "csv",
		},
		config.HelpKV{
			Key:         MimeTypes,
			Description: `comma separated wildcard mime-types` + defaultHelpPostfix(MimeTypes),

import java.util.NoSuchElementException;
import org.jspecify.annotations.Nullable;

/**
 * This class provides a skeletal implementation of the {@code Iterator} interface, to make this
 * interface easier to implement for certain types of data sources.
 *
 * <p>{@code Iterator} requires its implementations to support querying the end-of-data status
 * without changing the iterator's state, using the {@link #hasNext} method. But many data sources,

#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/types.h"

using tensorflow::string;

namespace tensorflow {
namespace tracing {

            }

            @Override
            public <T extends SmbTransport> T unwrap(Class<T> type) {
                if (type.isInstance(this)) {
                    return type.cast(this);
                }
                throw new ClassCastException("Cannot unwrap to " + type.getName());
            }

            @Override
            public void close() {
                // no-op for test

/**
 * Basic implementation of a {@link SortedSetMultimap} with a sorted key set.
 *
 * <p>This superclass allows {@code TreeMultimap} to override methods to return navigable set and
 * map types in non-GWT only, while GWT code will inherit the SortedMap/SortedSet overrides.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
abstract class AbstractSortedKeySortedSetMultimap<

    }
    val type = source.readByte() and 0xff
    val flags = source.readByte() and 0xff
    val streamId = source.readInt() and 0x7fffffff // Ignore reserved bit.
    if (type != TYPE_WINDOW_UPDATE && logger.isLoggable(FINE)) {
      logger.fine(frameLog(true, streamId, length, type, flags))
    }

    if (requireSettings && type != TYPE_SETTINGS) {

   * future changes to it will alter the behavior of the predicate.
   *
   * <p>This method can technically accept any {@code Collection<?>}, but using a typed collection
   * helps prevent bugs. This approach doesn't block any potential users since it is always possible
   * to use {@code Predicates.<Object>in()}.
   *

/**
 * Validation annotation for URI type constraints.
 * This annotation validates URI strings based on specified protocol types.
 */
@Target({ METHOD, FIELD, ANNOTATION_TYPE, CONSTRUCTOR, PARAMETER })
@Retention(RUNTIME)
@Documented
@Constraint(validatedBy = UriTypeValidator.class)
public @interface UriType {

    /**
     * Specifies the protocol type to validate against.
     *
     * @return the protocol type