我希望基于一个类似于使用枚举时加入它们的公共属性来压缩2个序列的项。怎样才能通过第二次考试?
using NUnit.Framework;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Reactive.Linq;
using System.Threading.Tasks;
public class SequenceTests
{
private class Entry
{
public Entry(DateTime timestamp, string value)
{
Timestamp = timestamp;
Value = value;
}
public DateTime Timestamp { get; }
public string Value { get; }
}
private readonly IEnumerable<Entry> Tasks = new List<Entry>
{
new Entry(new DateTime(2021, 6, 6), "Do homework"),
new Entry(new DateTime(2021, 6, 7), "Buy groceries"), // <-- This date is also in the People collection!
new Entry(new DateTime(2021, 6, 8), "Walk the dog"),
};
private readonly IEnumerable<Entry> People = new List<Entry>
{
new Entry(new DateTime(2021, 6, 4), "Peter"),
new Entry(new DateTime(2021, 6, 5), "Jane"),
new Entry(new DateTime(2021, 6, 7), "Paul"), // <-- This date is also in the Tasks collection!
new Entry(new DateTime(2021, 6, 9), "Mary"),
};
private class Assignment
{
public string Task { get; set; }
public string Person { get; set; }
}
[Test]
public void Join_two_collections_should_succeed()
{
var assignments = Tasks
.Join(People,
task => task.Timestamp,
person => person.Timestamp,
(task, person) => new Assignment { Task = task.Value, Person = person.Value });
Assert.AreEqual(1, assignments.Count());
Assert.AreEqual("Buy groceries", assignments.First().Task);
Assert.AreEqual("Paul", assignments.First().Person);
}
[Test]
public async Task Zip_two_sequences_should_succeed()
{
var tasks = Observable.ToObservable(Tasks);
var people = Observable.ToObservable(People);
var sequence = tasks
.Zip(people)
.Select(pair => new Assignment { Task = pair.First.Value, Person = pair.Second.Value });
var assignments = await sequence.ToList();
Assert.AreEqual(1, assignments.Count);
Assert.AreEqual("Buy groceries", assignments.First().Task);
Assert.AreEqual("Paul", assignments.First().Person);
}
}发布于 2021-06-13 05:07:44
可观察到的Zip运算符与可枚举版本的工作原理完全相同。你没有在第一次测试中使用它,所以它不像你需要的操作员。
您需要的只是SelectMany操作符。
请尝试以下查询:
var sequence =
from t in tasks
from p in people
where t.Timestamp == p.Timestamp
select new Assignment { Task = t.Value, Person = p.Value };这适用于你的测试。
发布于 2021-06-19 06:50:12
这里有一个自定义的Join操作符,可以用来解决这个问题。它基于Merge、GroupByUntil和SelectMany运算符:
/// <summary>
/// Correlates the elements of two sequences based on matching keys. Results are
/// produced for all combinations of correlated elements that have an overlapping
/// duration.
/// </summary>
public static IObservable<TResult> Join<TLeft, TRight, TKey, TResult>(
this IObservable<TLeft> left,
IObservable<TRight> right,
Func<TLeft, TKey> leftKeySelector,
Func<TRight, TKey> rightKeySelector,
Func<TLeft, TRight, TResult> resultSelector,
TimeSpan? keyDuration = null,
IEqualityComparer<TKey> keyComparer = null)
{
// Arguments validation omitted
keyComparer ??= EqualityComparer<TKey>.Default;
var groupDuration = keyDuration.HasValue ?
Observable.Timer(keyDuration.Value) : Observable.Never<long>();
return left
.Select(x => (x, (TRight)default, Type: 1, Key: leftKeySelector(x)))
.Merge(right.Select(x => ((TLeft)default, x, Type: 2, Key: rightKeySelector(x))))
.GroupByUntil(e => e.Key, _ => groupDuration, keyComparer)
.Select(g => (
g.Where(e => e.Type == 1).Select(e => e.Item1),
g.Where(e => e.Type == 2).Select(e => e.Item2).Replay().AutoConnect(0)
))
.SelectMany(g => g.Item1.SelectMany(_ => g.Item2, resultSelector));
}用法示例:
IObservable<Assignment> sequence = tasks
.Join(people, t => t.Timestamp, p => p.Timestamp,
(t, p) => new Assignment { Task = t.Value, Person = p.Value });应该注意的是,如果不缓冲两个源序列产生的所有元素,就无法保证100%的正确性来解决这个问题。显然,如果序列包含无限个元素,这将不能很好地扩展。
如果牺牲绝对正确性以支持可伸缩性是可以接受的,则可以使用可选的keyDuration参数来配置存储密钥(及其相关元素)可以在内存中保留的最大持续时间。如果具有此密钥的新元素由left或right序列产生,则过期密钥可能会被重新生成。
上面的实现在包含大量元素的序列中表现得相当好。加入两个相同大小的序列,每个序列都有10万个元素,在我的电脑里需要8秒。
发布于 2021-06-20 15:57:36
我不喜欢任何一个贴出的答案。它们都是同一主题的变体:将两个序列的所有成员无限期地保存在内存中,并在新的左元素出现时遍历整个右序列,并在出现新的右元素时递增地检查左键。两者都无限期地回答了O(L + R)内存,并且都是O(R * L)时间复杂度(其中L和R是左序列和右序列的大小)。
如果我们处理的是集合(或可枚举的),这将是一个足够的答案。但我们不是:我们在处理可观察到的问题,答案应该承认这一点。实际用例之间可能存在很大的时间间隔。这个问题是由一个可枚举的测试用例提出的。如果它只是一个可枚举的,正确的答案是转换回可枚举并使用Linq的Join。如果有可能出现具有时间间隔的长时间运行的流程,那么答案应该承认,您可能只希望加入某个时间内已经发生的元素,从而释放进程中的内存。
这满足了测试答案,同时允许一个时间框:
var sequence = tasks.Join(people,
_ => Observable.Timer(TimeSpan.FromSeconds(.5)),
_ => Observable.Timer(TimeSpan.FromSeconds(.5)),
(t, p) => (task: t, person: p)
)
.Where(t => t.person.Timestamp == t.task.Timestamp)
.Select(t => new Assignment { Task = t.task.Value, Person = t.person.Value });这将为.5秒的每个元素创建一个窗口,这意味着如果左元素和右元素在彼此的.5秒内弹出,则它们将匹配。在.5秒之后,每个元素都从内存中释放出来。如果出于任何原因,您不希望从内存中释放并无限期地将所有对象保存在内存中,这就足够了:
var sequence = tasks.Join(people,
_ => Observable.Never<Unit>(),
_ => Observable.Never<Unit>(),
(t, p) => (task: t, person: p)
)
.Where(t => t.person.Timestamp == t.task.Timestamp)
.Select(t => new Assignment { Task = t.task.Value, Person = t.person.Value });https://stackoverflow.com/questions/67938188
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