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* [رایانش ابری](http://docs.occc.ir/books/Main%20Book-20110110_2.pdf) (PDF)
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### شبکه
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* آلبرت لازلو باراباسی - [علم شبکه](http://networksciencebook.com)
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### گنو/لینوکس
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#### اوبونتو
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#### Работа с сетью
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* [IPv6 для знатоков IPv4](https://sites.google.com/site/yartikhiy/home/ipv6book) - Ярослав Тихий (PDF, HTML, EPUB)
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* [Наука о Сетях](http://networksciencebook.com) - Альберто Лазло-Барабаси
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* [Разъяснение HTTP2](https://github.com/vlet/http2-explained/blob/master/http2.ru.pdf?raw=true) - Даниэль Штенберг (PDF)
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* [A Brief Introduction to Machine Learning for Engineers](https://arxiv.org/pdf/1709.02840.pdf) - Osvaldo Simeone (PDF)
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* [A Brief Introduction to Neural Networks](http://www.dkriesel.com/en/science/neural_networks)
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* [A Comprehensive Guide to Machine Learning](https://www.eecs189.org/static/resources/comprehensive-guide.pdf) - Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang (PDF)
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* [A Course in Machine Learning](http://ciml.info/dl/v0_9/ciml-v0_9-all.pdf) (PDF)
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* [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) (PDF)
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* [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
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* [Machine Learning](http://www.intechopen.com/books/machine_learning)
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* [Machine Learning for Data Streams](https://moa.cms.waikato.ac.nz/book-html/) - Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer
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* [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/)
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* [Mathematics for Machine Learning](https://gwthomas.github.io/docs/math4ml.pdf) - Garrett Thomas (PDF)
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* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
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* [Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
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* [Reinforcement Learning: An Introduction](http://incompleteideas.net/book/bookdraft2017nov5.pdf) - Richard S. Sutton, Andrew G. Barto (PDF)
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#### Mathematics
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* [A First Course in Linear Algebra](http://linear.ups.edu) - Robert A. Beezer
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* [Abstract Algebra: Theory and Applications](http://abstract.ups.edu) - Thomas W. Judson
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* [Advanced Algebra](http://www.math.stonybrook.edu/~aknapp/download/a2-alg-inside.pdf) - Anthony W. Knapp (PDF)
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* [Algebra: An Elementary Text-Book, Part I (1904)](http://djm.cc/library/Algebra_Elementary_Text-Book_Part_I_Chrystal_edited.pdf) - G. Chrystal (PDF)
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* [Algebra: An Elementary Text-Book, Part II (1900)](http://djm.cc/library/Algebra_Elementary_Text-Book_Part_II_Chrystal_edited02.pdf) - G. Chrystal (PDF)
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* [An Introduction to the Theory of Numbers](http://www.trillia.com/moser-number.html) - Leo Moser (PDF)
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* [Analytic Geometry (1922)](http://djm.cc/library/Analytic_Geometry_Siceloff_Wentworth_Smith_edited.pdf) - Lewis Parker Siceloff, George Wentworth, David Eugene Smith (PDF)
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* [Basic Algebra](http://www.math.stonybrook.edu/~aknapp/download/b2-alg-inside.pdf) - Anthony W. Knapp (PDF)
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* [Basics of Algebra, Topology, and Differential Calculus](http://www.cis.upenn.edu/~jean/math-basics.pdf) (PDF)
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* [Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) - Cameron Davidson-Pilon
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* [Beginning and Intermediate Algebra](http://www.wallace.ccfaculty.org/book/book.html) - Tyler Wallace
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* [Book of Proof](http://www.people.vcu.edu/~rhammack/BookOfProof/) - Richard Hammack (PDF)
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* [Calculus](http://ocw.mit.edu/ans7870/resources/Strang/Edited/Calculus/Calculus.pdf) - Gilbert Strang (PDF)
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* [Calculus Made Easy](http://www.gutenberg.org/ebooks/33283) - Silvanus P. Thompson (PDF)
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* [Category Theory for the Sciences](https://mitpress.ublish.com/ereader/77/?preview#page/Cover) - David I. Spivak
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* [CK-12 Probability and Statistics - Advanced](http://www.ck12.org/book/Probability-and-Statistics---Advanced-%2528Second-Edition%2529/)
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* [Collaborative Statistics](http://cnx.org/contents/5e0744f9-9e79-4348-9237-ed012213a2d6%4040.9)
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* [Complex Analysis](https://people.math.gatech.edu/~cain/winter99/complex.html) - George Cain
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* [Computational and Inferential Thinking. The Foundations of Data Science](https://www.inferentialthinking.com)
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* [Computational Geometry](http://web.mit.edu/hyperbook/Patrikalakis-Maekawa-Cho/)
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* [Concepts & Applications of Inferential Statistics](http://vassarstats.net/textbook/)
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* [Convex Optimization](https://web.stanford.edu/~boyd/cvxbook) - Stephen Boyd and Lieven Vandenberghe
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* [Coordinate Geometry (1911)](http://djm.cc/library/Coordinate_Geometry_Fine_Thompson_edited03.pdf) - Henry Buchard Fine and Henry Dallas Thompson (PDF)
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* [Differential Equations](http://tutorial.math.lamar.edu/Classes/DE/DE.aspx) - Paul Dawkins (PDF, use download menu to download)
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* [Differential Equations (1922)](http://djm.cc/library/Differential_Equations_Phillips_edited.pdf) - H. B. Phillips (PDF)
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* [Elementary Differential Equations](http://ramanujan.math.trinity.edu/wtrench/texts/TRENCH_DIFF_EQNS_I.PDF) - William F. Trench (PDF)
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* [Elements of Differential and Integral Calculus (1911)](http://djm.cc/library/Elements_Differential_Integral_Calculus_Granville_edited_2.pdf) - William Anthony Granville (PDF)
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* [Essentials of Metaheuristics](http://cs.gmu.edu/~sean/book/metaheuristics/) - Sean Luke
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* [First Course in Algebra (1910)](http://djm.cc/library/First_Algebra_Hawkes_Luby_Touton_edited.pdf) - Herbert E. Hawkes, William A. Luby, Frank C. Touton (PDF)
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* [Foundations of Constructive Probability Theory](https://arxiv.org/pdf/1906.01803.pdf) - Yuen-Kwok Chan (PDF)
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* [Graph Theory](http://compalg.inf.elte.hu/~tony/Oktatas/TDK/FINAL/)
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* [Introduction to Probability](http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/book.html) - Charles M. Grinstead and J. Laurie Snell
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* [Introduction to Probability and Statistics Spring 2014](http://ocw.mit.edu/courses/mathematics/18-05-introduction-to-probability-and-statistics-spring-2014/)
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* [Linear Algebra](http://home.iitk.ac.in/~arlal/book/la.pdf) - Dr. Arbind K Lal, Sukant Pati (PDF) (:construction: *in process*)
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* [Linear Algebra](https://www.math.ucdavis.edu/~linear/linear-guest.pdf) (PDF)
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* [Linear Algebra by Jim Hefferon](http://joshua.smcvt.edu/linearalgebra) - Jim Hefferon
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* [Linear Algebra, Infinite Dimensions, and Maple](https://people.math.gatech.edu/~herod/Hspace/Hspace.html) - James Herod
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* [Linear Methods of Applied Mathematics](http://www.mathphysics.com/pde) - Evans M. Harrell II and James V. Herod
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* [Magic Squares and Cubes (1917)](http://djm.cc/library/Magic_Squares_Cubes_Andrews_edited.pdf) - W. S. Anderson (PDF)
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* [Mathematical Logic - an Introduction](http://www.ii.uib.no/~michal/und/i227/book/book.pdf) (PDF)
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* [Mathematics, MTH101A](http://home.iitk.ac.in/~psraj/mth101/) - P. Shunmugaraj, IIT Kanpur
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* [Modern Statistics for Modern Biology](https://www.huber.embl.de/msmb) - Susan Holmes and Wolfgang Huber
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* [Multivariable Calculus](https://people.math.gatech.edu/~cain/notes/calculus.html) - George Cain and James Herod
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* [Non-Uniform Random Variate Generation](http://luc.devroye.org/rnbookindex.html) - Luc Devroye (PDF)
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* [Number Theory](https://github.com/holdenlee/number-theory) - Holden Lee MIT
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* [Odds and Ends: Introducing Probability & Decision with a Visual Emphasis](https://jonathanweisberg.org/vip/) - Jonathan Weisberg
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* [OpenIntro Statistics](https://www.openintro.org/stat/textbook.php)
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* [Ordinary Differential Equations](https://en.wikibooks.org/wiki/Ordinary_Differential_Equations) - Wikibooks
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* [Plane Geometry (1913)](http://djm.cc/library/Plane_Geometry_Wentworth_Smith_edited.pdf) - George Wentworth and David Eugene Smith (PDF)
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* [Planes and Spherical Trigonometry (1915)](http://djm.cc/library/Plane_Spherical_Trigonometry_Wentworth_Smith_edited_2.pdf) - George Wentworth and David Eugene Smith (PDF)
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* [Power Programming with Mathematica](http://mathematica.stackexchange.com/questions/16485/are-you-interested-in-purchasing-david-wagners-power-programming-with-mathemat/22724) - David B. Wagner
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* [Probability and Statistics Cookbook](http://statistics.zone)
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* [Probability and Statistics EBook](http://wiki.stat.ucla.edu/socr/index.php/Probability_and_statistics_EBook)
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* [Recreations in Math](http://djm.cc/library/Recreations_in_Mathematics_Licks_edited.pdf) - H. E. Licks (PDF)
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* [Second Course in Algebra](http://djm.cc/library/Second_Algebra_Hawkes_Luby_Touton_edited.pdf) - Herbert E. Hawkes, William A. Luby, Frank C. Touton (PDF)
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* [Seven Sketches in Compositionality: An Invitation to Applied Category Theory](https://arxiv.org/pdf/1803.05316.pdf) - Brendan Fong and David I. Spivak (PDF)
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* [Statistical Thinking for the 21st Century](https://statsthinking21.org) - Russell A. Poldrack
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* [Statistics Done Wrong](http://www.statisticsdonewrong.com) - Alex Reinhart
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* [Think Bayes: Bayesian Statistics Made Simple](http://www.greenteapress.com/thinkbayes/) - Allen B. Downey
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* [Think Stats: Probability and Statistics for Programmers](http://greenteapress.com/thinkstats/) - Allen B. Downey (using Python)
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* [HTTP Succinctly, Syncfusion](https://www.syncfusion.com/resources/techportal/ebooks/http) (PDF, Kindle) (email address *requested*, not required)
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* [HTTP2 Explained](http://daniel.haxx.se/http2/) - Daniel Stenberg
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* [IPv6 for IPv4 Experts](https://sites.google.com/site/yartikhiy/home/ipv6book) - Yar Tikhiy (PDF)
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* [Network Science](http://networksciencebook.com) - Albert-Laszló Barabási
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* [The TCP/IP Guide](http://www.tcpipguide.com/free/t_toc.htm)
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* [Understanding IP Addressing: Everything you ever wanted to know](http://pages.di.unipi.it/ricci/501302.pdf) (PDF)
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* [ZeroMQ Guide](http://zguide.zeromq.org/page%3Aall)
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* [HTML5 For Web Designers](http://html5forwebdesigners.com) - Jeremy Keith
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* [HTML5 Notes for Professionals](http://books.goalkicker.com/HTML5Book/) - Compiled from StackOverflow documentation (3.x)
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* [HTML5 Shoot 'em Up in an Afternoon](https://leanpub.com/html5shootemupinanafternoon/read) - Bryan Bibat
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* [Interneting is Hard (But it Doesn't Have to Be)](https://www.internetingishard.com) - Oliver James
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* [Learn CSS Layout](http://learnlayout.com)
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* [Learn CSS Layout the pedantic way](http://book.mixu.net/css/)
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* [Learn to Code HTML & CSS](https://learn.shayhowe.com) - Shay Howe
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* [Basic JavaScript for the impatient programmer](http://www.2ality.com/2013/06/basic-javascript.html) - Dr. Axel Rauschmayer
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* [Book of Modern Frontend Tooling](https://github.com/tooling/book-of-modern-frontend-tooling)
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* [Crockford's JavaScript](http://www.crockford.com/javascript/) - Douglas Crockford
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* [Deep JavaScript: Theory and techniques](https://exploringjs.com/deep-js) - Dr. Axel Rauschmayer
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* [Dev Docs](http://devdocs.io)
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* [Directory of free Javascript ebooks](http://jsbooks.revolunet.com)
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* [Eloquent JavaScript 2nd edition](http://eloquentjavascript.net) - Marijn Haverbeke
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* [JavaScript Enlightenment](http://www.javascriptenlightenment.com) - Cody Lindley
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* [JavaScript ES6 and beyond](https://github.com/AlbertoMontalesi/JavaScript-es6-and-beyond-ebook) - Alberto Montalesi (PDF, epub)
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* [JavaScript For Cats](http://jsforcats.com)
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* [JavaScript for Impatient Programmers (ES2020 edition)](https://exploringjs.com/impatient-js) - Dr. Axel Rauschmayer
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* [JavaScript Fundamentals, Plus a Dash Of JQuery - for dinner ladies](http://nicholasjohnson.com/javascript-book/)
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* [JavaScript Garden](http://bonsaiden.github.io/JavaScript-Garden/) (Maintained by Tim Ruffles)
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* [JavaScript Patterns Collection](http://shichuan.github.io/javascript-patterns/) - Shi Chuan
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