.map(deps -> removeManagedDependenciesFromSection(
                                context, deps, allGAVs, "profile dependencyManagement"))
                        .orElse(false))
                .reduce(false, Boolean::logicalOr);

        hasChanges |= profileChanges;

        return hasChanges;
    }

    /**
     * Applies dependency inference redundancy optimizations.

import dataclasses
import datetime
from collections import defaultdict, deque
from collections.abc import Callable
from decimal import Decimal
from enum import Enum
from ipaddress import (
    IPv4Address,
    IPv4Interface,
    IPv4Network,
    IPv6Address,
    IPv6Interface,
    IPv6Network,
)
from pathlib import Path, PurePath
from re import Pattern
from types import GeneratorType
from typing import Annotated, Any

        return dependencyContainers
                .map(container -> fixDuplicateDependenciesInSection(container.element, context, container.sectionName))
                .reduce(false, Boolean::logicalOr);
    }

    private static class DependencyContainer {
        final Element element;
        final String sectionName;

func (t Type) IsDataReplication() bool {
	switch t {
	case ObjectReplicationType, HealReplicationType, ExistingObjectReplicationType:
		return true
	}
	return false
}

// ObjectOpts provides information to deduce whether replication
// can be triggered on the resultant object.
type ObjectOpts struct {
	Name           string
	UserTags       string
	VersionID      string
	DeleteMarker   bool
	SSEC           bool

import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.util.concurrent.ListenableFuture;
import java.util.ArrayDeque;
import java.util.Deque;
import java.util.Map;
import java.util.concurrent.Executor;
import java.util.concurrent.Future;
import java.util.concurrent.atomic.AtomicInteger;
import junit.framework.TestCase;

package okhttp3

import assertk.assertThat
import assertk.assertions.isCloseTo
import assertk.assertions.isFalse
import assertk.assertions.isInstanceOf
import assertk.assertions.matchesPredicate
import java.util.Deque
import java.util.concurrent.ConcurrentLinkedDeque
import java.util.concurrent.TimeUnit
import okhttp3.CallEvent.CallStart
import okhttp3.CallEvent.Canceled
import org.junit.jupiter.api.Assertions.fail

/// warning

The supporting additional functions `fake_password_hasher` and `fake_save_user` are just to demo a possible flow of the data, but they of course are not providing any real security.

///

## Reduce duplication { #reduce-duplication }

Reducing code duplication is one of the core ideas in **FastAPI**.

import warnings
from collections import deque
from dataclasses import dataclass
from datetime import datetime, timezone
from decimal import Decimal
from enum import Enum
from math import isinf, isnan
from pathlib import PurePath, PurePosixPath, PureWindowsPath
from typing import TypedDict

import pytest
from fastapi._compat import Undefined
from fastapi.encoders import jsonable_encoder
from fastapi.exceptions import PydanticV1NotSupportedError

// read to be handled correctly. On the other hand, a change to the file size
// (st_size, as made by say ftruncate(2)), would require a metadata flush.
//
// The aim of fdatasync() is to reduce disk activity for applications that
// do not require all metadata to be synchronized with the disk.
func Fdatasync(f *os.File) error {
	return syscall.Fdatasync(int(f.Fd()))
}

// FadviseDontNeed invalidates page-cache

                    || sourceSet.getName().equals(SourceSet.TEST_SOURCE_SET_NAME)
            )
            .map(sourceSet -> sourceSet.getOutput().getClassesDirs())
            .reduce(FileCollection::plus)
            .orElse(getProject().files())
            .filter(File::exists);
    }