C＃XML将数组字符串序列化/反序列化为数组元素名称

时间：2018-07-03 19:26:34

标签： c# xml serialization deserialization

我有一个如下的xml结构：

<Doc>
<Items>
<Foo A="1"/>
<Bar A="2"/>
</Items>
</Doc>

我想将xml反序列化为以下模型：

[XmlRoot("Doc")]
public class MyDoc
{
    [XmlArray("Items")]
    // How do I select the element names
    public List<Item> Items { get; set; }
}

public class Item
{
     // How do I select the element name
     public string Name { get; set; }
}

我希望Item.Name属性包含元素名称：“ Foo”，“ Bar”。 XML属性有可能吗？

2 个答案:

答案 0 :(得分：0)

在nodeNames列表中，您将获得所有元素名称

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from itertools import cycle
from sklearn.cluster import MeanShift, estimate_bandwidth
from sklearn.datasets.samples_generator import make_blobs

df=pd.DataFrame()

df["POINT_X"]=[-75.933169765,-75.932900302,-75.933060039,-75.932456135,-75.932334122,-75.933383845,-75.933378563,-75.933290334,-75.933302506,-75.932024669,-75.931803297,-75.931777655,-75.9317845,-75.931807731,
               -75.931794839,-75.932045113,-75.932165473,-75.932763574,-75.93216276,-75.932066326,-75.931934871,-75.932294115,-75.931852284,-75.93187799,-75.932063549,-75.932377939,-75.932466697,-75.9324484,-75.932523695,
               -75.932484492,-75.931882652,-75.932006344,-75.932228988,-75.932702486,-75.933245229,-75.933165385,-75.932990797,-75.932741398,-75.932519195,-75.932336262,-75.932264764,-75.932953569,-75.932938167,-75.933098289,
               -75.932503985,-75.932597591,-75.932551382,-75.932541384,-75.932575066,-75.932751274,-75.932869969,-75.932086405,-75.932125915,-75.932089623,-75.932229816,-75.932356252,-75.93221234,-75.932505964,-75.932455199,
               -75.932672148,-75.932823439,-75.93266258,-75.932722695,-75.93262497,-75.932613958,-75.932726832,-75.933179618,-75.933413275,-75.932911947,-75.93293013,-75.933129681,-75.933348106,-75.933328068,-75.9333501,
               -75.933133529,-75.93306104,-75.933020824,-75.933056158,-75.933261164,-75.933157803,-75.933320158,-75.93306193,-75.932935915,-75.933125758,-75.933088069,-75.933158642,-75.9331282,-75.933096121,-75.933250109,
               -75.933325084,-75.933336448,-75.934785616,-75.934843128,-75.93387422,-75.933996517,-75.934114484,-75.934560855,-75.935138185,-75.935228902,-75.935550248,-75.935326059,-75.935167468,-75.935038326,-75.934937151,
               -75.934476218,-75.934576771,-75.934556169,-75.934324709,-75.934215059,-75.934185509,-75.933996183,-75.938853557,-75.937435702,-75.93755249,-75.93709863,-75.937584727,-75.937080786,-75.93717527,-75.937158245,
               -75.937153622,-75.937255458,-75.937291351,-75.937463492,-75.937508635,-75.937568922,-75.937604,-75.937643152,-75.937538299,-75.936224493,-75.936538213,-75.936653234,-75.936672687,-75.936781092,-75.936765158,
               -75.936775048,-75.93680606,-75.936808197,-75.936753824,-75.936637658,-75.936923553,-75.936872045,-75.936871187,-75.936735385,-75.936800934,-75.936504657,-75.936528774,-75.936462867,-75.936301988,-75.936248282,
               -75.936192436,-75.935933385,-75.93679036,-75.936984567,-75.937178376,-75.937072594,-75.936212479,-75.937100912,-75.937075027,-75.93703418,-75.936553923,-75.936563813,-75.936750108,-75.935328068,-75.93329076,
               -75.933274837,-75.932816577,-75.932958943,-75.932872736,-75.933039998,-75.932930987,-75.932975423,-75.932987859,-75.932944342,-75.932984985,-75.933102016,-75.933042959,-75.935432474,-75.93539475,-75.935456177,
               -75.935413297,-75.935564812,-75.936518316,-75.935680005,-75.936558194,-75.935736741,-75.935754977,-75.935809,-75.935866569,-75.936134435,-75.936272398,-75.936252114,-75.936497277,-75.936178069,-75.933545359,
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               -75.936823941,-75.936664385,-75.936985859,-75.936927641,-75.937655315,-75.93754798,-75.937409554,-75.937780814,-75.936920843,-75.93724831,-75.937473965,-75.937712006,-75.935331673,-75.936250622,-75.934986449,
               -75.938144151,-75.938287148,-75.938572438,-75.938677207,-75.938737192,-75.936696505,-75.9379094,-75.937601482,-75.931082221,-75.931152233,-75.931929379,-75.931886037,-75.931539305,-75.93145414,-75.931517537,
               -75.93206476,-75.931104594,-75.930886831,-75.930796839,-75.930770692,-75.934395391,-75.933485857,-75.935094793,-75.935243938,-75.934978751,-75.935325475,-75.935361712,-75.933975927,-75.933883586,-75.936299827,
               -75.934936738,-75.935015301,-75.934930658,-75.935287011,-75.935294894,-75.937784172,-75.937770775,-75.938253481,-75.93826076,-75.937784726,-75.93717805,-75.938872368,-75.938875092,-75.939336652,-75.940266037,
               -75.940331239,-75.940421181,-75.940331999,-75.940177713,-75.939332917,-75.938994759,-75.939607395,-75.939598636,-75.939560673,-75.939534037,-75.939555948,-75.939015855,-75.939243491,-75.938789939,-75.933198497,
               -75.93296926,-75.933132717,-75.932772368,-75.932419051,-75.93293841,-75.932798596,-75.932208745,-75.93206523,-75.931983351,-75.932410373,-75.931891975,-75.931568921,-75.931771254,-75.932397243,-75.931396196,
               -75.931519619,-75.932093909,-75.931942073,-75.934429867,-75.934438719,-75.93453334,-75.934266886,-75.934183909,-75.93452075,-75.933856314,-75.933881074,-75.933901224,-75.933751983,-75.933594864,-75.93358154,
               -75.93347677,-75.933895768,-75.933917682,-75.933687372,-75.933927415,-75.933739282,-75.933891053,-75.933712267,-75.93361711,-75.933901067,-75.934161321,-75.934305249,-75.934239461,-75.934211658,-75.933980238,
               -75.934018133,-75.93397582,-75.933918536,-75.933971179,-75.933877169]

df["POINT_Y"]=[38.95259201,38.952468493,38.952585964,38.952220643,38.952172451,38.952978948,38.952611101,38.952620123,38.952527583,38.952013642,38.951971095,38.951950598,38.951878617,38.951867573,38.952051039,38.952319899,
               38.952751776,38.952261808,38.951645828,38.951591344,38.951583443,38.951660428,38.951750197,38.951752666,38.951776696,38.951792968,38.951787078,38.951862848,38.951800999,38.951744805,38.951870508,38.951889649,
               38.951936158,38.95170948,38.951751749,38.951735386,38.951742727,38.951588575,38.951528477,38.951520106,38.951519453,38.951936698,38.952010261,38.952013956,38.952102079,38.952165877,38.952146088,38.952089106,
               38.952117254,38.952151545,38.949969545,38.951201998,38.951159228,38.951123753,38.950778391,38.950531943,38.950989092,38.950097211,38.950208568,38.950065183,38.950071356,38.949923603,38.9498474,38.949809668,
               38.949757376,38.949571133,38.951447294,38.95147755,38.950581745,38.950733667,38.951069352,38.951237478,38.95107276,38.95096753,38.9508122,38.950734862,38.950688169,38.950514372,38.950075351,38.950010511,38.949960875,
               38.949992064,38.95007398,38.950101272,38.950295815,38.950227769,38.950211517,38.950441255,38.950335632,38.95024686,38.950307666,38.950528546,38.950513096,38.950187972,38.950217841,38.950263645,38.950510523,
               38.950755399,38.950708302,38.950286311,38.950229957,38.950164615,38.950045229,38.949970825,38.949877169,38.949993101,38.949660647,38.949543522,38.949625589,38.949412861,38.949487811,38.949880172,38.951839048,
               38.952063455,38.949880835,38.951913953,38.949897842,38.949754481,38.949913573,38.951052934,38.951134326,38.951215119,38.951281057,38.951294341,38.951397886,38.951533389,38.951672146,38.949658462,38.950068808,
               38.949883166,38.949852263,38.949919533,38.950057898,38.950028999,38.950188832,38.950304129,38.950435138,38.950514515,38.950622084,38.950381874,38.949994828,38.950052327,38.949830647,38.949824853,38.949732702,
               38.949761675,38.949791427,38.949879419,38.949914074,38.949955099,38.951691376,38.951766177,38.951785811,38.951832242,38.951733008,38.950873805,38.951440038,38.951405074,38.951254936,38.951212584,38.951201821,
               38.951198089,38.951901959,38.94884403,38.948941748,38.949353979,38.949035993,38.949016785,38.94887402,38.948802413,38.948722997,38.94868013,38.948698153,38.948609493,38.948407937,38.948413538,38.94884251,
               38.948821237,38.948818421,38.948795076,38.949678178,38.949281509,38.949751466,38.949261269,38.949715525,38.949652229,38.949566304,38.949532396,38.949542936,38.949567821,38.94953658,38.949563742,38.948735942,
               38.952147575,38.952155751,38.951912912,38.951985954,38.952728799,38.952622921,38.952451597,38.952436249,38.95231594,38.952313127,38.951745893,38.952390373,38.952286187,38.952708734,38.951839413,38.952030386,
               38.951616852,38.951420298,38.951608998,38.952554863,38.9520134,38.951292914,38.951667791,38.952112184,38.954031241,38.953799626,38.953837241,38.953853864,38.953692287,38.953686947,38.953751245,38.953616457,
               38.95369262,38.953694331,38.953744736,38.953742862,38.953858308,38.953767308,38.953659111,38.953499777,38.953494864,38.953676808,38.953570088,38.953574927,38.953146008,38.953138966,38.953219752,38.953218684,
               38.953196026,38.953217491,38.953260642,38.953365184,38.953343071,38.953392347,38.95584336,38.955799692,38.956182326,38.95621302,38.956049617,38.957470088,38.957171152,38.956453402,38.956649954,38.956791692,
               38.957180989,38.957521592,38.955754158,38.95553646,38.955953035,38.956405511,38.956660878,38.957086511,38.957423389,38.957793854,38.957835976,38.955448024,38.955021013,38.954934154,38.954927544,38.954598007,
               38.954570833,38.954367294,38.954343,38.954497793,38.954471,38.954821256,38.954369125,38.955348715,38.955333171,38.955343991,38.955489753,38.955493927,38.955516735,38.955049181,38.955110383,38.954724398,38.954521524,
               38.954517463,38.954512208,38.954493542,38.954434212,38.954117479,38.95435162,38.954310712,38.954277052,38.954161078,38.954580606,38.954197375,38.955451505,38.955596079,38.955045523,38.955097295,38.955970146,
               38.954232335,38.95411988,38.953505553,38.955288869,38.955759644,38.955647996,38.955040953,38.954949777,38.95485026,38.954643337,38.954546745,38.953547289,38.953542137,38.953995634,38.954146947,38.954862356,
               38.953287566,38.954523419,38.954915863,38.955002144,38.954945777,38.955006524,38.95507815,38.955120243,38.953067979,38.953073084,38.953453648,38.953640022,38.953641026,38.954062633,38.954027667,38.954110137,
               38.954249401,38.953874232,38.953529725,38.953628972,38.953476826,38.95351151,38.953498365,38.953491846,38.953767787,38.953843351,38.953849161]

#Must incorporate these identifiers and cluster by similarity of species in addition to their proximity.
df["Category"]=['Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla',
                'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla',
                'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia macrophylla', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior',
                'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior',
                'Aristolochia durior', 'Aristolochia durior', 'Aristolochia durior', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa',
                'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa',
                'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Aristolochia tomentosa', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii',
                'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii', 'Buddleia davidii',
                'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Buddleia x weyeriana',
                'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Buddleia x weyeriana', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa',
                'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyparis obtusa', 'Chamaecyfoccia gracilis',
                'Chamaecyfoccia gracilis', 'Chamaecyfoccia gracilis', 'Chamaecyfoccia gracilis', 'Chamaecyfoccia gracilis', 'Chamaecyfoccia gracilis', 'Chamaecyfoccia gracilis', 'Chamaecyfoccia gracilis', 'Chamaecyparis pisifera',
                'Chamaecyparis pisifera', 'Chamaecyparis pisifera', 'Chamaecyparis pisifera', 'Chamaecyparis pisifera', 'Chamaecyparis pisifera', 'Chamaecyparis pisifera', 'Chamaecyparis pisifera', 'Chamaecyparis pisifera',
                'Chamaecyparis pisifera', 'Chamaecyparis pisifera', 'Chamaecyparis pisifera', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba',
                'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus alba', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia',
                'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia',
                'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia', 'Cornus albernifolia',
                'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis',
                'Cornus canadensis', 'Cornus canadensis', 'Cornus canadensis', 'Euonymus alata', 'Euonymus alata', 'Euonymus alata', 'Euonymus alata', 'Euonymus alata', 'Euonymus alata', 'Euonymus alata', 'Euonymus alata',
                'Euonymus alata', 'Euonymus alata', 'Euonymus alata', 'Euonymus alata', 'Euonymus alata', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima',
                'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima',
                'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Euphorbia pulcherrima', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis',
                'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalis', 'Galanthus nivalisodoratum',
                'Galanthus nivalisodoratum', 'Galanthus nivalisodoratum', 'Galanthus nivalisodoratum', 'Galanthus nivalisodoratum', 'Galanthus nivalisodoratum', 'Galanthus nivalisodoratum', 'Galanthus nivalisodoratum',
                'Galanthus nivalisodoratum', 'Galanthus nivalisodoratum', 'Galanthus nivalisodoratum', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra',
                'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra',
                'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa macra', 'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra',
                'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra', 'Hakonechloa aureola-macra', 'Ilex crenata Hetzii',
                'Ilex crenata Hetzii', 'Ilex crenata Hetzii', 'Ilex crenata Hetzii', 'Ilex crenata Hetzii', 'Ilex crenata Hetzii', 'Ilex crenata Hetzii', 'Ilex crenata Hetzii', 'Ilex crenata Hetzii', 'Ilex crenata Hetzii',
                'Ilex crenata Hetzii', 'Ilex crenata Hetzii', 'Iberis sempervirens', 'Iberis sempervirens', 'Iberis sempervirens', 'Iberis sempervirens', 'Iberis sempervirens', 'Iberis sempervirens', 'Iberis sempervirens',
                'Iberis sempervirens', 'Iberis sempervirens', 'Lamium maculatum', 'Lamium maculatum', 'Lamium maculatum', 'Lamium maculatum', 'Lamium maculatum', 'Lamium maculatum', 'Lamium maculatum', 'Lamium maculatum',
                'Lamium maculatum', 'Lamium maculatum', 'Lamium maculatum', 'Lamium maculatum', 'Mertensia virginica', 'Mertensia virginica', 'Mertensia virginica', 'Mertensia virginica', 'Mertensia virginica', 'Mertensia virginica',
                'Mertensia virginica', 'Mertensia virginica', 'Aristolochata pseudophilus', 'Aristolochata pseudophilus', 'Aristolochata pseudophilus', 'Aristolochata pseudophilus', 'Aristolochata pseudophilus',
                'Aristolochata pseudophilus', 'Aristolochata pseudophilus', 'Aristolochata pseudophilus', 'Aristolochata pseudophilus', 'Aristolochata pseudophilus', 'Chamaecyparis duplicatus', 'Chamaecyparis duplicatus',
                'Chamaecyparis duplicatus', 'Chamaecyparis duplicatus', 'Chamaecyparis duplicatus', 'Chamaecyparis duplicatus', 'Chamaecyparis duplicatus', 'Chamaecyparis duplicatus', 'Chamaecyparis crenata Hetzii',
                'Chamaecyparis crenata Hetzii', 'Chamaecyparis crenata Hetzii', 'Chamaecyparis crenata Hetzii', 'Chamaecyparis crenata Hetzii', 'Chamaecyparis crenata Hetzii', 'Chamaecyparis crenata Hetzii', 'Chamaecyparis',
                'Chamaecyparis', 'Chamaecyparis', 'Chamaecyparis', 'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum',
                'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum', 'Veronicastrum virginicum',
                'Veronicastrum vulgaris', 'Veronicastrum vulgaris', 'Veronicastrum vulgaris', 'Veronicastrum vulgaris', 'Veronicastrum vulgaris', 'Veronicastrum vulgaris', 'Veronicastrum vulgaris', 'Veronicastrum vulgaris',
                'Veronicastrum vulgaris', 'Veronicastrum pulchra', 'Veronicastrum pulchra', 'Veronicastrum pulchra', 'Veronicastrum pulchra', 'Veronicastrum pulchra', 'Veronicastrum pulchra', 'Veronicastrum pulchra',
                'Veronicastrum pulchra', 'Veronicastrum pulchra', 'Veronicastrum pulchra']



#Get clusters with MeanShift
X= np.array(df.loc[:,["POINT_X","POINT_Y"]].values.tolist()) # Only using numeric values for now
bandwidth = estimate_bandwidth(X, quantile=0.0595, n_samples=15000)
ms = MeanShift(bandwidth=bandwidth, bin_seeding=True)
ms.fit(X)
labels = ms.labels_
cluster_centers = ms.cluster_centers_
labels_unique = np.unique(labels)
n_clusters_ = len(labels_unique)
print("Estimated number of clusters: %d" % n_clusters_)

#Make plot
plt.figure(1)
plt.clf()
colors = cycle('bgrcmykbgrcmykbgrcmykbgrcmyk')

for k, col in zip(range(n_clusters_), colors):
    my_members = labels == k
    cluster_center = cluster_centers[k]
    plt.plot(X[my_members, 0], X[my_members, 1], col + '.')
    plt.plot(cluster_center[0], cluster_center[1], 'o', markerfacecolor=col,
             markeredgecolor='k', markersize=14)
plt.title('Clusters found by X/Y proximity (before using categorical values): %d' % n_clusters_)
plt.show(); plt.show()

使用属性Reference Taken

的示例 
ng new

答案 1 :(得分：0)

我敢打赌Xml属性不可能做到这一点。

我们将不得不手动进行。例如，通过实现IXmlSerializable接口。

[XmlRoot("Doc")]
public class MyDoc : IXmlSerializable
{
    [XmlArray("Items")]
    public List<Item> Items { get; set; }

    public XmlSchema GetSchema()
    {
        throw new NotImplementedException();
    }

    public void ReadXml(XmlReader reader)
    {
        Items = new List<Item>();

        reader.ReadToFollowing("Items");

        using (var innerReader = reader.ReadSubtree())
        {
            innerReader.MoveToContent();

            while (innerReader.Read())
            {
                if (innerReader.IsStartElement())
                {
                    var item = new Item { Name = innerReader.Name };
                    Items.Add(item);
                }
            }
        }
    }

    public void WriteXml(XmlWriter writer)
    {
        throw new NotImplementedException();
    }
}

public class Item
{
    public string Name { get; set; }
}
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