Mercurial > hg > Papers > 2016 > masa-master
changeset 88:7e2e5f8bc516
remove some images
| author | Masataka Kohagura <kohagura@cr.ie.u-ryukyu.ac.jp> |
|---|---|
| date | Thu, 18 Feb 2016 12:05:09 +0900 |
| parents | 04e333c17c0d |
| children | a4af6428370a |
| files | paper/c4.tex paper/images/image.graffle paper/images/regex/allostate.pdf paper/images/regex/parser.pdf paper/master_paper.pdf slide/s6/images/example/wordcountseparate.svg slide/s6/images/regex/allostate.svg slide/s6/images/regex/cctree.svg slide/s6/images/regex/cctreemerge.svg slide/s6/images/regex/dfa.svg slide/s6/images/regex/parser.svg slide/s6/images/regex/setstate.svg slide/s6/images/regex/stateafasta.svg slide/s6/images/regex/stateasta.svg slide/s6/images/regex/stateasta3.svg slide/s6/images/regex/stateselect.svg slide/s6/images/regex/stateselectasta.svg slide/s6/images/regex/stateselseq.svg slide/s6/images/regex/stateseq.svg slide/s6/images/regex/subset.svg slide/s6/images/regex/subsetauto.svg slide/s6/images/regex/transitiontable.svg slide/s6/index.html |
| diffstat | 23 files changed, 358 insertions(+), 3308 deletions(-) [+] |
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--- a/paper/c4.tex Thu Feb 18 06:40:17 2016 +0900 +++ b/paper/c4.tex Thu Feb 18 12:05:09 2016 +0900 @@ -49,8 +49,10 @@ } \end{lstlisting} +文字列処理の Task と結果の整合や表示を行う Print Task をそれぞれ決められたフォーマットに沿って記述すればよい。 ファイルを分割して文字列処理を行なった際、分割された部分でそれぞれの例題の整合性が取れなくなってしまうことがある。 -整合性の取り方についてはそれぞれの例題にて述べる。 + +文字列処理や結果の整合性の取り方についてはそれぞれの例題にて述べる。 \section{Word Count} \label{sec:wc} @@ -95,7 +97,7 @@ % 分割されたファイルを先頭から見ていき、まずは先頭が空白か改行かどうかをチェックする。 % 空白や改行が読み込まれるたびに Word Num や Line Num をカウントしていき、最後に分割されたファイルの末尾が空白かどうかをチェックしている。 -\begin{lstlisting}[frame=lrbt,label=src:Exec,caption=文字列処理の記述,numbers=left] +\begin{lstlisting}[frame=lrbt,label=src:Exec,caption=Word Countの記述,numbers=left] SchedDefineTask1(Exec,wordcount); static int @@ -130,7 +132,7 @@ Task それぞれの単語数と行数を集計し、分割された部分に関して整合性をとり単語数を調整する。 単語数、行数がそれぞれ決定されたのちに結果が Print される。 -\begin{lstlisting}[frame=lrbt,label=src:Print,caption=結果を集計する Print ルーチン,numbers=left] +\begin{lstlisting}[frame=lrbt,label=src:Print,caption=Word Count の Print Task,numbers=left] #define STATUS_NUM 2 static int @@ -239,7 +241,6 @@ その場合は、本来の読み込み部分の text の長さ $L$ に加えて、pattern の長さ $s$ から 1 引いた数だけ多く読みこむように設計することで、正しく結果を算出することができる。 (図\ref{fig:iodivsuc}) - \begin{figure}[htbp] \begin{center} \includegraphics[width=1.0\textwidth]{images/example/iodivsuc.pdf} @@ -252,7 +253,7 @@ そして Boyer-Moore String Search に必要な情報を bm という構造体にまとめ、この構造体をそれぞれの Task に送信している。 (ソースコード\ref{src:bmTMmain}) -\begin{lstlisting}[frame=lrbt,label=src:bmTMmain,caption=Task の生成前に Boyer Moore の skip table を生成,numbers=left] +\begin{lstlisting}[frame=lrbt,label=src:bmTMmain,caption=Boyer-Moore String Search の TMmain,numbers=left] typedef struct bm { int* skip_table; unsigned char *search_word; @@ -295,8 +296,7 @@ \end{lstlisting} - -\begin{lstlisting}[frame=lrbt,label=src:bmexec,caption=Boyer-Moore String Search のメインルーチン,numbers=left] +\begin{lstlisting}[frame=lrbt,label=src:bmexec,caption=Boyer-Moore String Search の記述,numbers=left] static int BM_method(unsigned char *text,int text_len, unsigned char *pattern,int sw_len,int *skip) { @@ -333,7 +333,7 @@ } \end{lstlisting} -\begin{lstlisting}[frame=lrbt,label=src:bmprint,caption=Boyer-Moore String Search の結果の集計,numbers=left] +\begin{lstlisting}[frame=lrbt,label=src:bmprint,caption=Boyer-Moore String Search の Print Task,numbers=left] static int print_task(SchedTask *s, void *rbuf, void *wbuf) { @@ -554,7 +554,7 @@ \begin{center} \includegraphics[scale=0.20]{images/regex/dfaregex.pdf} \end{center} - \caption{どの状態もある入力を与えたとしても遷移先は一意に決定される} + \caption{どの状態もある入力を与えたとしても遷移先は一意に決定される(DFA)} \label{fig:dfaregex} \end{figure} @@ -584,7 +584,7 @@ \end{figure} このとき、状態 2 と 4 を組み合わせて一つの状態を新しく作り、その状態に遷移させる。新しく作られる状態の数は状態の組み合わせなので、その状態の組み合わせの和をとっている。 -これより、状態 4 に a か [c-z] を入力すると状態 4 に遷移し、b が入力されると新しい状態 6 に遷移する。 +これより、状態 4 に a か [c-z] を入力すると状態 4 に遷移し、b が入力されると新しい状態 2,4 に遷移する。 このような変換をすることによって、入力によって遷移先が一意に決定されるようになる。(図\ref{fig:dfa}) \begin{figure}[htpb] @@ -597,7 +597,7 @@ \subsection{Subset Construction による状態の変換} -Subset Construction は、ある複数の状態を 1 つの新しい状態としてまとめ、その新しい状態から新しい遷移先を構成しそれを繰り返す手法である。 +Subset Construction は、ある複数の状態を 1 つの新しい状態としてまとめ、その新しい状態からの遷移先を構成する手法である。 ソースコード\ref{src:cc}は文字クラスの構造体である。正規表現木の各ノードそれぞれに、この構造体を持っている。 文字クラスは二分木で構築されており、それぞれの二分木に文字の範囲である Condition を持っている。 @@ -626,7 +626,6 @@ 図\ref{fig:sc} に2つの状態があり、それぞれに入力と遷移先がある。 これら 2 つの状態を一つの状態として表現し、新しく状態遷移図を生成する。 もし、文字クラスの範囲が重なっている場合は、遷移先の状態を組み合わせて新しい状態を生成する。 -新しい状態が作られれば、その状態から新しい状態遷移を生成し、新しい状態が生成されなくなるまでこれを繰り返す。 \begin{figure}[htpb] \begin{center} @@ -636,7 +635,7 @@ \label{fig:sc} \end{figure} -ある文字クラスの範囲に別の文字クラスの範囲が重なり、さらにそれぞれの文字クラスの遷移先が異なる場合、図\ref{fig:CharClassMergePattern}のように 13 パターンの場合を考慮しなければならない。 +ある文字クラスの範囲に別の文字クラスの範囲が重なり、さらにそれぞれの文字クラスの遷移先が異なる場合、図\ref{fig:CharClassMergePattern}のような 13 パターンの場合分けを考慮しなければならない。 \begin{figure}[htpb] \begin{center} @@ -648,16 +647,17 @@ \subsection{正規表現マッチャの並列処理の実装} 正規表現から正規表現木を生成し、その木に対して状態を割り振りを行ない、Subset Construction による新しい状態の生成が終わったあとにマッチングを行う。 -なお、Subset Construction による新しい状態の生成はマッチングの前に行うことも可能であるが、マッチング途中で新しい状態を発見したときにその都度生成することも可能である。 % bit パターンの実装の話 -本研究の実装では、状態を Bit Pattern で表現している。 +今回の実装では、状態それぞれを Bit Pattern で表現している。 Bit Pattern で状態を持つことで、Subset Construction による状態の組み合わせも Bit Pattern の和を取ることで容易に表現できる。 % state 構造 bitvector の話 配列を MaxState の分のコードの話 -その状態は StateArray と呼ばれる配列で格納されており、状態遷移が行われるたびに StateArray を見に行く。 +それらの状態は StateArray と呼ばれる配列で格納されており、状態遷移が行われるたびに StateArray を見に行く。 あらかじめ配列の大きさのメモリを確保する必要があるが、Subset Construction による新しい状態生成も考慮しなければならない。 正規表現木に状態を割り振った時に最大の状態の Bit は分かっているので、その状態の Bit の 2 倍だけ配列を確保しておけば、Bit Pattern が全て 1 までの状態を表現することができる。 -状態の遷移先は文字クラスごとの List 構造になっており、その状態に入力が行われたらそのリストを辿って遷移先の状態を判断する。 + +StateArray を見れば、ある状態に対して入力をすると状態の遷移先をチェックすることができる。 +状態の遷移先は文字クラスごとの List 構造になっており、入力された文字をチェックしながらリストを辿って状態の遷移先を判断する。 (図\ref{fig:statearray}) \begin{figure}[htpb] @@ -689,7 +689,7 @@ } \end{lstlisting} -\begin{lstlisting}[frame=lrbt,label=src:task,caption=正規表現のマッチング部分,numbers=left] +\begin{lstlisting}[frame=lrbt,label=src:task,caption=ceriumGrep のマッチング部分,numbers=left] TSValue blockSearch(TSValue tsv,Buffer buff,int task_spawned) { tsv.current = tsv.tg->stateStart->tState; tsv.blk->result = NULL; @@ -697,7 +697,7 @@ tsv.blk->resultEnd = &result; tsv.blk->blockBegin = tsv.current; addResult(tsv,true,buff.buff,buff.buffend); // entire buffer - tsv = tSearch(tsv); + tsv = tSearch(tsv); // Matching tsv.blk->blockEnd = tsv.current; if (tsv.blk->blockEnd->state->bitState.bitContainer != 1) { if (tsv.matchBegin != tsv.buff.buffptr) { @@ -731,6 +731,7 @@ 分割されたファイルに対して正規表現によるマッチングを行う。 マッチングすると、マッチングの始まりのファイルの場所と終わりのファイルの場所を Result という構造体に格納する。 マッチングの数だけこの構造体が生成され、これらは List 構造として結果をまとめていく。 (ソースコード\ref{src:result}) +もし、分割されたファイル \begin{lstlisting}[frame=lrbt,label=src:result,caption=Resultの構造体,numbers=left] typedef struct result { unsigned char *begin; @@ -750,6 +751,7 @@ そして、1つ目のファイルの末尾が状態遷移の途中で終わっていた場合(状態 1 でない場合)は、結果を集計する際に再度マッチングし始めた場所から正規表現をマッチングさせる。 このマッチングは結果を集計する Print Task にて実行されるので、single thread で処理される。 +そのため、分割された部分で状態遷移の途中で終わっている場合が多ければそれだけ集計時の処理が重くなる。 \begin{figure}[htpb] \begin{center}
--- a/paper/images/image.graffle Thu Feb 18 06:40:17 2016 +0900 +++ b/paper/images/image.graffle Thu Feb 18 12:05:09 2016 +0900 @@ -85857,14 +85857,14 @@ <key>WindowInfo</key> <dict> <key>CurrentSheet</key> - <integer>11</integer> + <integer>9</integer> <key>Expanded_Canvases</key> <array> + <string>キャンバス 7</string> <string>cctree</string> - <string>キャンバス 7</string> </array> <key>Frame</key> - <string>{{529, 38}, {1279, 1139}}</string> + <string>{{514, 38}, {1279, 1139}}</string> <key>ShowInfo</key> <true/> <key>ShowRuler</key> @@ -85876,9 +85876,9 @@ <key>TopSlabHeight</key> <real>682</real> <key>VisibleRegion</key> - <string>{{542.99062758785806, -66}, {565.42053303038585, 916.82238496331979}}</string> + <string>{{619.10113354641885, 66.247193458329861}, {679.7752918250153, 1102.2472087278347}}</string> <key>Zoom</key> - <real>1.0700000524520874</real> + <real>0.88999998569488525</real> <key>ZoomValues</key> <array> <array>
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--- a/slide/s6/index.html Thu Feb 18 06:40:17 2016 +0900 +++ b/slide/s6/index.html Thu Feb 18 12:05:09 2016 +0900 @@ -193,29 +193,136 @@ </ul> </div> + + <div class='slide'> + <h2>Cerium Task Manager</h2> + <object data="images/cerium/createTask.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>mmap Model</h2> + <object data="images/cerium/mmap.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>Read Task Model</h2> + <object data="images/cerium/blockedreadimage.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>独立した CPU で処理</h2> + <object data="images/cerium/speblockedread.svg" width="50%" type="image/svg+xml"></object><br> + <object data="images/cerium/iothread.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>文字列処理の並列処理</h2> + <object data="images/example/dividefile.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>Word Count の整合性</h2> + <object data="images/example/wordcount.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>正規表現の一例</h2> + <object data="images/regex/regexbasic.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + + <div class='slide'> + <h2>parser</h2> + <object data="images/regex/parser.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>連接</h2> + <object data="images/regex/regexseq.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>連接の連続</h2> + <object data="images/regex/regexseq2.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + + <div class='slide'> + <h2>| の接続</h2> + <object data="images/regex/regexselect.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>* の組み合わせ</h2> + <object data="images/regex/regexasta.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2> | * の接続</h2> + <object data="images/regex/regexgroup.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>正規表現の連接</h2> + <object data="images/regex/regexseqregex.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + + <div class='slide'> + <h2>正規表現木をオートマトンの状態遷移に沿って状態割当</h2> + <object data="images/regex/allostate.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>正規表現の整合性</h2> + <object data="images/regex/regexdivide.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>DFA</h2> + <object data="images/regex/dfaregex.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>NFA</h2> + <object data="images/regex/nfaex.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + + <div class='slide'> + <h2>1入力で複数の状態遷移先があれば、その状態をまとめる</h2> + <object data="images/regex/dfa.svg" width="30%" type="image/svg+xml"></object><br> + <object data="images/regex/nfa.svg" width="30%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>cc tree merge pattern</h2> + <object data="images/regex/CharClassMergePattern.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>transition table</h2> + <object data="images/regex/transitiontable.svg" width="50%" type="image/svg+xml"></object><br> + </div> + + <div class='slide'> + <h2>状態をまとめる</h2> + <object data="images/regex/wordstate.svg" type="image/svg+xml" width="50%"></object><br> + </div> + <div class='slide'> <h2>実験概要</h2> <p>実験環境</p> <ul> - <li>OS：MacOS 10.9.2</li> + <li>OS：MacOS 10.10.5</li> <li>CPU：2*2.66GHz 6-Core Intel Xeon</li> - <li>GPU：NVIDIA Quadro K5000 4096MB</li> - <li>Memory：16GB 1333MHz DDR3</li> <li>HDD : 1TB 7200 rpm SATA 3.0 Gbps </li> - <li>Word Count の時間を、ファイルの読み込みから結果出力するまでを測定</li> </ul> - -Word Count を実行した後に、読み込むファイルをキャッシュから追い出すために、 - <pre>% sudo purge </pre> - を実行して繰り返し、測定を行っている。 </div> <div class='slide'> - <h2>実験1: 使用 CPU 数を変更させた時の実行速度の比較</h2> - <p>全ての実験のfile size は 1GB であり、表内の数値の単位は全て秒である。</p> -<p> -Blocked read Task 1つ当たりの読み込み量 : 16kbyte * 48 -</p> + <h2>実験1:</h2> + <p>全ての実験のfile size</p> <table border="2" cellpadding="0" cellspacing="0"> <tbody> <tr> @@ -272,21 +379,10 @@ <ul> -<li> SPE_ANY は、Cerium Task Manager がそれぞれの Task に自動的に CPU を割り振ってくれる。<br> --> I/O が連続で動作する保証がなくなってしまう。 -</li> -<li> <font color=red>CPU 4 以上</font>からはほとんど同じ実行結果を示した。 </li> -<li> 実行時間のほとんどは I/O の読み込みの時間となっている。<br> -read でファイル読み込みだけの時間を測定すると、<font color=red>11.166 秒</font>となった。 </li> -<li> - GPU を使用した場合、並列計算と I/O を分離させたほうが <font color=red>10%</font> ほど速くなった。 - </li> +<li> hoge </li> +<li> <font color=red>hoge</font></li> </ul> -<p> -ファイルがキャッシュに入った時の実行速度は以下のようになった。 -</p> - <table border="2" cellpadding="0" cellspacing="0"> <tbody> <tr> @@ -321,12 +417,6 @@ </tr> </tbody> </table> -<ul> - -</ul> -<br> -<br> -<br> </div> <div class='slide'> @@ -353,186 +443,6 @@ </ul> </div> - <div class='slide'> - <h2>Cerium Task Manager</h2> - <object data="images/cerium/createTask.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>mmap Model</h2> - <object data="images/cerium/mmap.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>Read Task Model</h2> - <object data="images/cerium/blockedreadimage.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>独立した CPU で処理</h2> - <object data="images/cerium/speblockedread.svg" width="50%" type="image/svg+xml"></object><br> - <object data="images/cerium/iothread.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>文字列処理の並列処理</h2> - <object data="images/example/dividefile.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>Word Count の整合性</h2> - <object data="images/example/wordcount.svg" width="50%" type="image/svg+xml"></object><br> - <object data="images/example/wordcountseparate.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>正規表現の一例</h2> - <object data="images/regex/regexbasic.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - - <div class='slide'> - <h2>parser</h2> - <object data="images/regex/parser.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>連接</h2> - <object data="images/regex/regexseq.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>連接の連続</h2> - <object data="images/regex/regexseq2.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - - <div class='slide'> - <h2>| の接続</h2> - <object data="images/regex/regexselect.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - - <div class='slide'> - <h2> | * の接続</h2> - <object data="images/regex/regexgroup.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>正規表現の連接</h2> - <object data="images/regex/regexseqregex.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - - <div class='slide'> - <h2>正規表現木をオートマトンの状態遷移に沿って状態割当</h2> - <object data="images/regex/allostate.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>* の組み合わせ</h2> - <object data="images/regex/regexasta.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>正規表現の整合性</h2> - <object data="images/regex/regexdivide.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>状態割り振り例</h2> - <object data="images/regex/setstate.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>連接の状態割り振り</h2> - <object data="images/regex/stateseq.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>選択状態割り振り</h2> - <object data="images/regex/stateselseq.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - - <div class='slide'> - <h2>*の状態割り振り</h2> - <object data="images/regex/stateafasta.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>*の状態割り振り</h2> - <object data="images/regex/stateasta.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>連接中の状態割り振り</h2> - <object data="images/regex/stateasta3.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>選択の状態割り振り</h2> - <object data="images/regex/stateselect.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>選択繰返しの状態割り振り</h2> - <object data="images/regex/stateselectasta.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>DFA</h2> - <object data="images/regex/dfaregex.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>NFA</h2> - <object data="images/regex/nfaex.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - - <div class='slide'> - <h2>Subset Construction</h2> - <object data="images/regex/subset.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>NFA DFA</h2> - <object data="images/regex/dfa.svg" width="50%" type="image/svg+xml"></object><br> - <object data="images/regex/nfa.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>CC の merge</h2> - <object data="images/regex/cctree.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>CC の木の merge</h2> - <object data="images/regex/cctreemerge.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>cc tree merge pattern</h2> - <object data="images/regex/CharClassMergePattern.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - - <div class='slide'> - <h2>NFAからDFAへの変換</h2> - <object data="images/regex/subsetauto.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>transition table</h2> - <object data="images/regex/transitiontable.svg" width="50%" type="image/svg+xml"></object><br> - </div> - - <div class='slide'> - <h2>状態をまとめる</h2> - <object data="images/regex/wordstate.svg" type="image/svg+xml" width="50%"></object><br> - </div> - </div> <!-- presentation --> </body> </html>