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目前只有方兆元教授的 Database 部分，其他两部分后续可能会加上

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关于选课

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  • 个人认为楼sir对于教Java并不用心，与wengkai老师的ppt相比，很多(>50%)具体的知识点都没涉及
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关于考试(基于2016-17秋冬Java应用技术考试)

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  • 开卷，带一本出版过的书
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  • 根据2017年1月19号的考试来看，题目的内容主要集中在《Java语言程序设计-基础篇(原书第8版)》，而且异常相关的题目有很多；对于《进阶篇》所涉及到的内容，个人估计在30~40%左右，而且考的也不是很刁钻，都是基础的概念和用法。所以带一本《基础篇》可能更合适。（但是没做过历届的题，所以不知道一直都这么重基础，还是只有今年如此。）
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  • 建议楼sir班的学生在平时一定要坚持自学，如果要拿一个漂亮的分数。光听楼sir的课，你会发现很多知识都不知道，复习时可以用wengkai老师的课件
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  • 题型： 判断10x1%, 选择30x2%=60%,程序输出题10x3%=30%
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+ + +
+ +
+
+ +
+
+
+
+ +

浙江大学课程攻略共享计划

+

前言

+

来到一所大学，从第一次接触许多课，直到一门一门完成，这个过程中我们时常收集起许多资料和情报。

+

有些是需要在网上搜索的电子书，每次见到一门新课程，Google 一下教材名称，有的可以立即找到，有的却是要花费许多眼力；有些是历年试卷或者 A4 纸，前人精心收集制作，抱着能对他人有用的想法公开，却需要在各个群或者 CC98 中摸索以至于从学长手中代代相传；有些是上完一门课才恍然领悟的技巧，原来这门课重点如此，当初本可以更轻松地完成得更好……

+

我也曾很努力地收集各种课程资料，但到最后，某些重要信息的得到却往往依然是纯属偶然。这种状态时常令我感到后怕与不安。我也曾在课程结束后终于有了些许方法与总结，但这些想法无处诉说，最终只能把花费时间与精力才换来的经验耗散在了漫漫的遗忘之中。

+

我为这一年一年，这么多人孤军奋战的重复劳动感到不平。

+

我希望能够将这些隐晦的、不确定的、口口相传的资料和经验，变为公开的、易于获取的和大家能够共同完善、积累的共享资料。

+

我希望只要是前人走过的弯路，后人就不必再走。这是我的信念，也是我建立这个项目的原因。

+

特性

+

本项目至今为止收录了以下内容：

+
    +
  • 选课攻略
    • +
  • 电子版教材
    • +
  • 平时作业答案
    • +
  • 历年试卷
    • +
  • 复习资料
    • +
  • 开卷考试 A4 纸
    • +
+

等等。目前项目已覆盖大多数计科的专业课程。

+

平台

+

为什么采用 GitHub 项目作为平台呢？我有以下一些考虑。

+
    +
  • QQ 群大多为年级和专业所分隔，无法长期共同地保有；况且群文件也缺乏组织。
    • +
  • GitHub 项目可以使用目录进行文件组织，并且每个目录均可以在显示文件列表的同时显示一个 README，十分适合本项目的需求。
    • +
  • GitHub 带有便捷的 Issue 和 Pull Request 协作功能，并且可以方便地对贡献的质量进行监督和调整。
    • +
+

贡献

+

欢迎贡献！

+

欢迎贡献！

+

欢迎贡献！

+

——因为很重要所以说了三遍

+

Issue、PR、纠错、资料、选课/考试攻略，完全欢迎！

+

来自大家的关注、维护和贡献，才是让这个浙江大学独有的攻略本继续存在的动力~

+

操作方法

+

提交 PR：Fork 本项目，然后在 GitHub 网页端点击 Upload File 上传文件，发起 PR 即可。留意一下项目的文件组织喔。

+

或者也可以直接附加在 Issue 中，由维护者进行添加。

+

对于教师的评价请一律使用姓名拼音首字母缩写；至于教师提供的课件就不用上传了，因为每年说不定会有更新的嘛。

+

由于本项目体积很大，故可以采用在Github Web端直接上传的方式，具体操作如下：

+
    +
  1. +

    首先Fork本项目

    +
    2. +
  2. +

    上传文件到已有文件夹：打开对应文件夹，点击绿色Download按钮旁的upload，上传你的文件。

    +
    3. +
  3. +

    上传文件到新文件夹：打开任意文件夹，点击绿色Download按钮旁的upload，把浏览器地址栏中文件夹名称改为你想要新建的文件夹名称，然后回车，上传你的文件。

    +
    4. +
+

提醒

+

有些朋友在提交 PR 的时候可能会注意到自己的 Fork 和我们的主分支有数十甚至上百个不同的 commit 。如果出现这种情况，可以考虑以下两种解决方案：

+
    +
  1. 如果对git不太熟悉，建议（在备份完成后）先删除你的项目，重新 fork 、上传并重新提交 PR 。
    2. +
  2. 如果对git及其工作原理较为熟悉（而且愿意花费时间和流量折腾），可以尝试在 fork 出的项目上进行 rebase 以消除与主分支在历史上的冲突。
    3. +
+

警告

+

下列内容为不适合上传的内容。如果你认为缺少这些资料将会影响资源的完整性，请优先考虑放在校内资源平台，或联系你的教师并由教师发布。建议你撰写一个 README 文档并放置一些链接或指引文字来帮助找到这些资源。

+
    +
  • 盗版电子书/付费电子书
    • +
  • 盗版/破解版/绿色版付费软件及其安装包
    • +
  • 课程/教师主页上列出的内容（请在获得教师许可后上传）
    • +
+

如果你认为本仓库的一些文件侵犯了您的权益，请 向我们发送邮件 。我们将会从仓库中彻底清除这些文件。

+

许可

+

由贡献者编写部分的许可如下：

+

CC-BY-NC-SA：署名-非商业性使用-相同方式共享

+
+

资料仅供参考，请自己判断其适用性。

+
+

其他部分的版权归属于其各自的作者。

+ +
+
+ +
+
+ +
+ +
+ +
+ + + + GitHub + + + + + Next » + + +
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+ + + + + + + + + diff --git a/search/lunr.js b/search/lunr.js new file mode 100644 index 000000000..aca0a167f --- /dev/null +++ b/search/lunr.js @@ -0,0 +1,3475 @@ +/** + * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9 + * Copyright (C) 2020 Oliver Nightingale + * @license MIT + */ + +;(function(){ + +/** + * A convenience function for configuring and constructing + * a new lunr Index. + * + * A lunr.Builder instance is created and the pipeline setup + * with a trimmer, stop word filter and stemmer. + * + * This builder object is yielded to the configuration function + * that is passed as a parameter, allowing the list of fields + * and other builder parameters to be customised. + * + * All documents _must_ be added within the passed config function. + * + * @example + * var idx = lunr(function () { + * this.field('title') + * this.field('body') + * this.ref('id') + * + * documents.forEach(function (doc) { + * this.add(doc) + * }, this) + * }) + * + * @see {@link lunr.Builder} + * @see {@link lunr.Pipeline} + * @see {@link lunr.trimmer} + * @see {@link lunr.stopWordFilter} + * @see {@link lunr.stemmer} + * @namespace {function} lunr + */ +var lunr = function (config) { + var builder = new lunr.Builder + + builder.pipeline.add( + lunr.trimmer, + lunr.stopWordFilter, + lunr.stemmer + ) + + builder.searchPipeline.add( + lunr.stemmer + ) + + config.call(builder, builder) + return builder.build() +} + +lunr.version = "2.3.9" +/*! + * lunr.utils + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * A namespace containing utils for the rest of the lunr library + * @namespace lunr.utils + */ +lunr.utils = {} + +/** + * Print a warning message to the console. + * + * @param {String} message The message to be printed. + * @memberOf lunr.utils + * @function + */ +lunr.utils.warn = (function (global) { + /* eslint-disable no-console */ + return function (message) { + if (global.console && console.warn) { + console.warn(message) + } + } + /* eslint-enable no-console */ +})(this) + +/** + * Convert an object to a string. + * + * In the case of `null` and `undefined` the function returns + * the empty string, in all other cases the result of calling + * `toString` on the passed object is returned. + * + * @param {Any} obj The object to convert to a string. + * @return {String} string representation of the passed object. + * @memberOf lunr.utils + */ +lunr.utils.asString = function (obj) { + if (obj === void 0 || obj === null) { + return "" + } else { + return obj.toString() + } +} + +/** + * Clones an object. + * + * Will create a copy of an existing object such that any mutations + * on the copy cannot affect the original. + * + * Only shallow objects are supported, passing a nested object to this + * function will cause a TypeError. + * + * Objects with primitives, and arrays of primitives are supported. + * + * @param {Object} obj The object to clone. + * @return {Object} a clone of the passed object. + * @throws {TypeError} when a nested object is passed. + * @memberOf Utils + */ +lunr.utils.clone = function (obj) { + if (obj === null || obj === undefined) { + return obj + } + + var clone = Object.create(null), + keys = Object.keys(obj) + + for (var i = 0; i < keys.length; i++) { + var key = keys[i], + val = obj[key] + + if (Array.isArray(val)) { + clone[key] = val.slice() + continue + } + + if (typeof val === 'string' || + typeof val === 'number' || + typeof val === 'boolean') { + clone[key] = val + continue + } + + throw new TypeError("clone is not deep and does not support nested objects") + } + + return clone +} +lunr.FieldRef = function (docRef, fieldName, stringValue) { + this.docRef = docRef + this.fieldName = fieldName + this._stringValue = stringValue +} + +lunr.FieldRef.joiner = "/" + +lunr.FieldRef.fromString = function (s) { + var n = s.indexOf(lunr.FieldRef.joiner) + + if (n === -1) { + throw "malformed field ref string" + } + + var fieldRef = s.slice(0, n), + docRef = s.slice(n + 1) + + return new lunr.FieldRef (docRef, fieldRef, s) +} + +lunr.FieldRef.prototype.toString = function () { + if (this._stringValue == undefined) { + this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef + } + + return this._stringValue +} +/*! + * lunr.Set + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * A lunr set. + * + * @constructor + */ +lunr.Set = function (elements) { + this.elements = Object.create(null) + + if (elements) { + this.length = elements.length + + for (var i = 0; i < this.length; i++) { + this.elements[elements[i]] = true + } + } else { + this.length = 0 + } +} + +/** + * A complete set that contains all elements. + * + * @static + * @readonly + * @type {lunr.Set} + */ +lunr.Set.complete = { + intersect: function (other) { + return other + }, + + union: function () { + return this + }, + + contains: function () { + return true + } +} + +/** + * An empty set that contains no elements. + * + * @static + * @readonly + * @type {lunr.Set} + */ +lunr.Set.empty = { + intersect: function () { + return this + }, + + union: function (other) { + return other + }, + + contains: function () { + return false + } +} + +/** + * Returns true if this set contains the specified object. + * + * @param {object} object - Object whose presence in this set is to be tested. + * @returns {boolean} - True if this set contains the specified object. + */ +lunr.Set.prototype.contains = function (object) { + return !!this.elements[object] +} + +/** + * Returns a new set containing only the elements that are present in both + * this set and the specified set. + * + * @param {lunr.Set} other - set to intersect with this set. + * @returns {lunr.Set} a new set that is the intersection of this and the specified set. + */ + +lunr.Set.prototype.intersect = function (other) { + var a, b, elements, intersection = [] + + if (other === lunr.Set.complete) { + return this + } + + if (other === lunr.Set.empty) { + return other + } + + if (this.length < other.length) { + a = this + b = other + } else { + a = other + b = this + } + + elements = Object.keys(a.elements) + + for (var i = 0; i < elements.length; i++) { + var element = elements[i] + if (element in b.elements) { + intersection.push(element) + } + } + + return new lunr.Set (intersection) +} + +/** + * Returns a new set combining the elements of this and the specified set. + * + * @param {lunr.Set} other - set to union with this set. + * @return {lunr.Set} a new set that is the union of this and the specified set. + */ + +lunr.Set.prototype.union = function (other) { + if (other === lunr.Set.complete) { + return lunr.Set.complete + } + + if (other === lunr.Set.empty) { + return this + } + + return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements))) +} +/** + * A function to calculate the inverse document frequency for + * a posting. This is shared between the builder and the index + * + * @private + * @param {object} posting - The posting for a given term + * @param {number} documentCount - The total number of documents. + */ +lunr.idf = function (posting, documentCount) { + var documentsWithTerm = 0 + + for (var fieldName in posting) { + if (fieldName == '_index') continue // Ignore the term index, its not a field + documentsWithTerm += Object.keys(posting[fieldName]).length + } + + var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5) + + return Math.log(1 + Math.abs(x)) +} + +/** + * A token wraps a string representation of a token + * as it is passed through the text processing pipeline. + * + * @constructor + * @param {string} [str=''] - The string token being wrapped. + * @param {object} [metadata={}] - Metadata associated with this token. + */ +lunr.Token = function (str, metadata) { + this.str = str || "" + this.metadata = metadata || {} +} + +/** + * Returns the token string that is being wrapped by this object. + * + * @returns {string} + */ +lunr.Token.prototype.toString = function () { + return this.str +} + +/** + * A token update function is used when updating or optionally + * when cloning a token. + * + * @callback lunr.Token~updateFunction + * @param {string} str - The string representation of the token. + * @param {Object} metadata - All metadata associated with this token. + */ + +/** + * Applies the given function to the wrapped string token. + * + * @example + * token.update(function (str, metadata) { + * return str.toUpperCase() + * }) + * + * @param {lunr.Token~updateFunction} fn - A function to apply to the token string. + * @returns {lunr.Token} + */ +lunr.Token.prototype.update = function (fn) { + this.str = fn(this.str, this.metadata) + return this +} + +/** + * Creates a clone of this token. Optionally a function can be + * applied to the cloned token. + * + * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token. + * @returns {lunr.Token} + */ +lunr.Token.prototype.clone = function (fn) { + fn = fn || function (s) { return s } + return new lunr.Token (fn(this.str, this.metadata), this.metadata) +} +/*! + * lunr.tokenizer + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * A function for splitting a string into tokens ready to be inserted into + * the search index. Uses `lunr.tokenizer.separator` to split strings, change + * the value of this property to change how strings are split into tokens. + * + * This tokenizer will convert its parameter to a string by calling `toString` and + * then will split this string on the character in `lunr.tokenizer.separator`. + * Arrays will have their elements converted to strings and wrapped in a lunr.Token. + * + * Optional metadata can be passed to the tokenizer, this metadata will be cloned and + * added as metadata to every token that is created from the object to be tokenized. + * + * @static + * @param {?(string|object|object[])} obj - The object to convert into tokens + * @param {?object} metadata - Optional metadata to associate with every token + * @returns {lunr.Token[]} + * @see {@link lunr.Pipeline} + */ +lunr.tokenizer = function (obj, metadata) { + if (obj == null || obj == undefined) { + return [] + } + + if (Array.isArray(obj)) { + return obj.map(function (t) { + return new lunr.Token( + lunr.utils.asString(t).toLowerCase(), + lunr.utils.clone(metadata) + ) + }) + } + + var str = obj.toString().toLowerCase(), + len = str.length, + tokens = [] + + for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) { + var char = str.charAt(sliceEnd), + sliceLength = sliceEnd - sliceStart + + if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) { + + if (sliceLength > 0) { + var tokenMetadata = lunr.utils.clone(metadata) || {} + tokenMetadata["position"] = [sliceStart, sliceLength] + tokenMetadata["index"] = tokens.length + + tokens.push( + new lunr.Token ( + str.slice(sliceStart, sliceEnd), + tokenMetadata + ) + ) + } + + sliceStart = sliceEnd + 1 + } + + } + + return tokens +} + +/** + * The separator used to split a string into tokens. Override this property to change the behaviour of + * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens. + * + * @static + * @see lunr.tokenizer + */ +lunr.tokenizer.separator = /[\s\-]+/ +/*! + * lunr.Pipeline + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * lunr.Pipelines maintain an ordered list of functions to be applied to all + * tokens in documents entering the search index and queries being ran against + * the index. + * + * An instance of lunr.Index created with the lunr shortcut will contain a + * pipeline with a stop word filter and an English language stemmer. Extra + * functions can be added before or after either of these functions or these + * default functions can be removed. + * + * When run the pipeline will call each function in turn, passing a token, the + * index of that token in the original list of all tokens and finally a list of + * all the original tokens. + * + * The output of functions in the pipeline will be passed to the next function + * in the pipeline. To exclude a token from entering the index the function + * should return undefined, the rest of the pipeline will not be called with + * this token. + * + * For serialisation of pipelines to work, all functions used in an instance of + * a pipeline should be registered with lunr.Pipeline. Registered functions can + * then be loaded. If trying to load a serialised pipeline that uses functions + * that are not registered an error will be thrown. + * + * If not planning on serialising the pipeline then registering pipeline functions + * is not necessary. + * + * @constructor + */ +lunr.Pipeline = function () { + this._stack = [] +} + +lunr.Pipeline.registeredFunctions = Object.create(null) + +/** + * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token + * string as well as all known metadata. A pipeline function can mutate the token string + * or mutate (or add) metadata for a given token. + * + * A pipeline function can indicate that the passed token should be discarded by returning + * null, undefined or an empty string. This token will not be passed to any downstream pipeline + * functions and will not be added to the index. + * + * Multiple tokens can be returned by returning an array of tokens. Each token will be passed + * to any downstream pipeline functions and all will returned tokens will be added to the index. + * + * Any number of pipeline functions may be chained together using a lunr.Pipeline. + * + * @interface lunr.PipelineFunction + * @param {lunr.Token} token - A token from the document being processed. + * @param {number} i - The index of this token in the complete list of tokens for this document/field. + * @param {lunr.Token[]} tokens - All tokens for this document/field. + * @returns {(?lunr.Token|lunr.Token[])} + */ + +/** + * Register a function with the pipeline. + * + * Functions that are used in the pipeline should be registered if the pipeline + * needs to be serialised, or a serialised pipeline needs to be loaded. + * + * Registering a function does not add it to a pipeline, functions must still be + * added to instances of the pipeline for them to be used when running a pipeline. + * + * @param {lunr.PipelineFunction} fn - The function to check for. + * @param {String} label - The label to register this function with + */ +lunr.Pipeline.registerFunction = function (fn, label) { + if (label in this.registeredFunctions) { + lunr.utils.warn('Overwriting existing registered function: ' + label) + } + + fn.label = label + lunr.Pipeline.registeredFunctions[fn.label] = fn +} + +/** + * Warns if the function is not registered as a Pipeline function. + * + * @param {lunr.PipelineFunction} fn - The function to check for. + * @private + */ +lunr.Pipeline.warnIfFunctionNotRegistered = function (fn) { + var isRegistered = fn.label && (fn.label in this.registeredFunctions) + + if (!isRegistered) { + lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\n', fn) + } +} + +/** + * Loads a previously serialised pipeline. + * + * All functions to be loaded must already be registered with lunr.Pipeline. + * If any function from the serialised data has not been registered then an + * error will be thrown. + * + * @param {Object} serialised - The serialised pipeline to load. + * @returns {lunr.Pipeline} + */ +lunr.Pipeline.load = function (serialised) { + var pipeline = new lunr.Pipeline + + serialised.forEach(function (fnName) { + var fn = lunr.Pipeline.registeredFunctions[fnName] + + if (fn) { + pipeline.add(fn) + } else { + throw new Error('Cannot load unregistered function: ' + fnName) + } + }) + + return pipeline +} + +/** + * Adds new functions to the end of the pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline. + */ +lunr.Pipeline.prototype.add = function () { + var fns = Array.prototype.slice.call(arguments) + + fns.forEach(function (fn) { + lunr.Pipeline.warnIfFunctionNotRegistered(fn) + this._stack.push(fn) + }, this) +} + +/** + * Adds a single function after a function that already exists in the + * pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. + * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. + */ +lunr.Pipeline.prototype.after = function (existingFn, newFn) { + lunr.Pipeline.warnIfFunctionNotRegistered(newFn) + + var pos = this._stack.indexOf(existingFn) + if (pos == -1) { + throw new Error('Cannot find existingFn') + } + + pos = pos + 1 + this._stack.splice(pos, 0, newFn) +} + +/** + * Adds a single function before a function that already exists in the + * pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. + * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. + */ +lunr.Pipeline.prototype.before = function (existingFn, newFn) { + lunr.Pipeline.warnIfFunctionNotRegistered(newFn) + + var pos = this._stack.indexOf(existingFn) + if (pos == -1) { + throw new Error('Cannot find existingFn') + } + + this._stack.splice(pos, 0, newFn) +} + +/** + * Removes a function from the pipeline. + * + * @param {lunr.PipelineFunction} fn The function to remove from the pipeline. + */ +lunr.Pipeline.prototype.remove = function (fn) { + var pos = this._stack.indexOf(fn) + if (pos == -1) { + return + } + + this._stack.splice(pos, 1) +} + +/** + * Runs the current list of functions that make up the pipeline against the + * passed tokens. + * + * @param {Array} tokens The tokens to run through the pipeline. + * @returns {Array} + */ +lunr.Pipeline.prototype.run = function (tokens) { + var stackLength = this._stack.length + + for (var i = 0; i < stackLength; i++) { + var fn = this._stack[i] + var memo = [] + + for (var j = 0; j < tokens.length; j++) { + var result = fn(tokens[j], j, tokens) + + if (result === null || result === void 0 || result === '') continue + + if (Array.isArray(result)) { + for (var k = 0; k < result.length; k++) { + memo.push(result[k]) + } + } else { + memo.push(result) + } + } + + tokens = memo + } + + return tokens +} + +/** + * Convenience method for passing a string through a pipeline and getting + * strings out. This method takes care of wrapping the passed string in a + * token and mapping the resulting tokens back to strings. + * + * @param {string} str - The string to pass through the pipeline. + * @param {?object} metadata - Optional metadata to associate with the token + * passed to the pipeline. + * @returns {string[]} + */ +lunr.Pipeline.prototype.runString = function (str, metadata) { + var token = new lunr.Token (str, metadata) + + return this.run([token]).map(function (t) { + return t.toString() + }) +} + +/** + * Resets the pipeline by removing any existing processors. + * + */ +lunr.Pipeline.prototype.reset = function () { + this._stack = [] +} + +/** + * Returns a representation of the pipeline ready for serialisation. + * + * Logs a warning if the function has not been registered. + * + * @returns {Array} + */ +lunr.Pipeline.prototype.toJSON = function () { + return this._stack.map(function (fn) { + lunr.Pipeline.warnIfFunctionNotRegistered(fn) + + return fn.label + }) +} +/*! + * lunr.Vector + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * A vector is used to construct the vector space of documents and queries. These + * vectors support operations to determine the similarity between two documents or + * a document and a query. + * + * Normally no parameters are required for initializing a vector, but in the case of + * loading a previously dumped vector the raw elements can be provided to the constructor. + * + * For performance reasons vectors are implemented with a flat array, where an elements + * index is immediately followed by its value. E.g. [index, value, index, value]. This + * allows the underlying array to be as sparse as possible and still offer decent + * performance when being used for vector calculations. + * + * @constructor + * @param {Number[]} [elements] - The flat list of element index and element value pairs. + */ +lunr.Vector = function (elements) { + this._magnitude = 0 + this.elements = elements || [] +} + + +/** + * Calculates the position within the vector to insert a given index. + * + * This is used internally by insert and upsert. If there are duplicate indexes then + * the position is returned as if the value for that index were to be updated, but it + * is the callers responsibility to check whether there is a duplicate at that index + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @returns {Number} + */ +lunr.Vector.prototype.positionForIndex = function (index) { + // For an empty vector the tuple can be inserted at the beginning + if (this.elements.length == 0) { + return 0 + } + + var start = 0, + end = this.elements.length / 2, + sliceLength = end - start, + pivotPoint = Math.floor(sliceLength / 2), + pivotIndex = this.elements[pivotPoint * 2] + + while (sliceLength > 1) { + if (pivotIndex < index) { + start = pivotPoint + } + + if (pivotIndex > index) { + end = pivotPoint + } + + if (pivotIndex == index) { + break + } + + sliceLength = end - start + pivotPoint = start + Math.floor(sliceLength / 2) + pivotIndex = this.elements[pivotPoint * 2] + } + + if (pivotIndex == index) { + return pivotPoint * 2 + } + + if (pivotIndex > index) { + return pivotPoint * 2 + } + + if (pivotIndex < index) { + return (pivotPoint + 1) * 2 + } +} + +/** + * Inserts an element at an index within the vector. + * + * Does not allow duplicates, will throw an error if there is already an entry + * for this index. + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @param {Number} val - The value to be inserted into the vector. + */ +lunr.Vector.prototype.insert = function (insertIdx, val) { + this.upsert(insertIdx, val, function () { + throw "duplicate index" + }) +} + +/** + * Inserts or updates an existing index within the vector. + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @param {Number} val - The value to be inserted into the vector. + * @param {function} fn - A function that is called for updates, the existing value and the + * requested value are passed as arguments + */ +lunr.Vector.prototype.upsert = function (insertIdx, val, fn) { + this._magnitude = 0 + var position = this.positionForIndex(insertIdx) + + if (this.elements[position] == insertIdx) { + this.elements[position + 1] = fn(this.elements[position + 1], val) + } else { + this.elements.splice(position, 0, insertIdx, val) + } +} + +/** + * Calculates the magnitude of this vector. + * + * @returns {Number} + */ +lunr.Vector.prototype.magnitude = function () { + if (this._magnitude) return this._magnitude + + var sumOfSquares = 0, + elementsLength = this.elements.length + + for (var i = 1; i < elementsLength; i += 2) { + var val = this.elements[i] + sumOfSquares += val * val + } + + return this._magnitude = Math.sqrt(sumOfSquares) +} + +/** + * Calculates the dot product of this vector and another vector. + * + * @param {lunr.Vector} otherVector - The vector to compute the dot product with. + * @returns {Number} + */ +lunr.Vector.prototype.dot = function (otherVector) { + var dotProduct = 0, + a = this.elements, b = otherVector.elements, + aLen = a.length, bLen = b.length, + aVal = 0, bVal = 0, + i = 0, j = 0 + + while (i < aLen && j < bLen) { + aVal = a[i], bVal = b[j] + if (aVal < bVal) { + i += 2 + } else if (aVal > bVal) { + j += 2 + } else if (aVal == bVal) { + dotProduct += a[i + 1] * b[j + 1] + i += 2 + j += 2 + } + } + + return dotProduct +} + +/** + * Calculates the similarity between this vector and another vector. + * + * @param {lunr.Vector} otherVector - The other vector to calculate the + * similarity with. + * @returns {Number} + */ +lunr.Vector.prototype.similarity = function (otherVector) { + return this.dot(otherVector) / this.magnitude() || 0 +} + +/** + * Converts the vector to an array of the elements within the vector. + * + * @returns {Number[]} + */ +lunr.Vector.prototype.toArray = function () { + var output = new Array (this.elements.length / 2) + + for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) { + output[j] = this.elements[i] + } + + return output +} + +/** + * A JSON serializable representation of the vector. + * + * @returns {Number[]} + */ +lunr.Vector.prototype.toJSON = function () { + return this.elements +} +/* eslint-disable */ +/*! + * lunr.stemmer + * Copyright (C) 2020 Oliver Nightingale + * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt + */ + +/** + * lunr.stemmer is an english language stemmer, this is a JavaScript + * implementation of the PorterStemmer taken from http://tartarus.org/~martin + * + * @static + * @implements {lunr.PipelineFunction} + * @param {lunr.Token} token - The string to stem + * @returns {lunr.Token} + * @see {@link lunr.Pipeline} + * @function + */ +lunr.stemmer = (function(){ + var step2list = { + "ational" : "ate", + "tional" : "tion", + "enci" : "ence", + "anci" : "ance", + "izer" : "ize", + "bli" : "ble", + "alli" : "al", + "entli" : "ent", + "eli" : "e", + "ousli" : "ous", + "ization" : "ize", + "ation" : "ate", + "ator" : "ate", + "alism" : "al", + "iveness" : "ive", + "fulness" : "ful", + "ousness" : "ous", + "aliti" : "al", + "iviti" : "ive", + "biliti" : "ble", + "logi" : "log" + }, + + step3list = { + "icate" : "ic", + "ative" : "", + "alize" : "al", + "iciti" : "ic", + "ical" : "ic", + "ful" : "", + "ness" : "" + }, + + c = "[^aeiou]", // consonant + v = "[aeiouy]", // vowel + C = c + "[^aeiouy]*", // consonant sequence + V = v + "[aeiou]*", // vowel sequence + + mgr0 = "^(" + C + ")?" + V + C, // [C]VC... is m>0 + meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$", // [C]VC[V] is m=1 + mgr1 = "^(" + C + ")?" + V + C + V + C, // [C]VCVC... is m>1 + s_v = "^(" + C + ")?" + v; // vowel in stem + + var re_mgr0 = new RegExp(mgr0); + var re_mgr1 = new RegExp(mgr1); + var re_meq1 = new RegExp(meq1); + var re_s_v = new RegExp(s_v); + + var re_1a = /^(.+?)(ss|i)es$/; + var re2_1a = /^(.+?)([^s])s$/; + var re_1b = /^(.+?)eed$/; + var re2_1b = /^(.+?)(ed|ing)$/; + var re_1b_2 = /.$/; + var re2_1b_2 = /(at|bl|iz)$/; + var re3_1b_2 = new RegExp("([^aeiouylsz])\\1$"); + var re4_1b_2 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + + var re_1c = /^(.+?[^aeiou])y$/; + var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + + var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + + var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + var re2_4 = /^(.+?)(s|t)(ion)$/; + + var re_5 = /^(.+?)e$/; + var re_5_1 = /ll$/; + var re3_5 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + + var porterStemmer = function porterStemmer(w) { + var stem, + suffix, + firstch, + re, + re2, + re3, + re4; + + if (w.length < 3) { return w; } + + firstch = w.substr(0,1); + if (firstch == "y") { + w = firstch.toUpperCase() + w.substr(1); + } + + // Step 1a + re = re_1a + re2 = re2_1a; + + if (re.test(w)) { w = w.replace(re,"$1$2"); } + else if (re2.test(w)) { w = w.replace(re2,"$1$2"); } + + // Step 1b + re = re_1b; + re2 = re2_1b; + if (re.test(w)) { + var fp = re.exec(w); + re = re_mgr0; + if (re.test(fp[1])) { + re = re_1b_2; + w = w.replace(re,""); + } + } else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = re_s_v; + if (re2.test(stem)) { + w = stem; + re2 = re2_1b_2; + re3 = re3_1b_2; + re4 = re4_1b_2; + if (re2.test(w)) { w = w + "e"; } + else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,""); } + else if (re4.test(w)) { w = w + "e"; } + } + } + + // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say) + re = re_1c; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + w = stem + "i"; + } + + // Step 2 + re = re_2; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = re_mgr0; + if (re.test(stem)) { + w = stem + step2list[suffix]; + } + } + + // Step 3 + re = re_3; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = re_mgr0; + if (re.test(stem)) { + w = stem + step3list[suffix]; + } + } + + // Step 4 + re = re_4; + re2 = re2_4; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = re_mgr1; + if (re.test(stem)) { + w = stem; + } + } else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = re_mgr1; + if (re2.test(stem)) { + w = stem; + } + } + + // Step 5 + re = re_5; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = re_mgr1; + re2 = re_meq1; + re3 = re3_5; + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) { + w = stem; + } + } + + re = re_5_1; + re2 = re_mgr1; + if (re.test(w) && re2.test(w)) { + re = re_1b_2; + w = w.replace(re,""); + } + + // and turn initial Y back to y + + if (firstch == "y") { + w = firstch.toLowerCase() + w.substr(1); + } + + return w; + }; + + return function (token) { + return token.update(porterStemmer); + } +})(); + +lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer') +/*! + * lunr.stopWordFilter + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * lunr.generateStopWordFilter builds a stopWordFilter function from the provided + * list of stop words. + * + * The built in lunr.stopWordFilter is built using this generator and can be used + * to generate custom stopWordFilters for applications or non English languages. + * + * @function + * @param {Array} token The token to pass through the filter + * @returns {lunr.PipelineFunction} + * @see lunr.Pipeline + * @see lunr.stopWordFilter + */ +lunr.generateStopWordFilter = function (stopWords) { + var words = stopWords.reduce(function (memo, stopWord) { + memo[stopWord] = stopWord + return memo + }, {}) + + return function (token) { + if (token && words[token.toString()] !== token.toString()) return token + } +} + +/** + * lunr.stopWordFilter is an English language stop word list filter, any words + * contained in the list will not be passed through the filter. + * + * This is intended to be used in the Pipeline. If the token does not pass the + * filter then undefined will be returned. + * + * @function + * @implements {lunr.PipelineFunction} + * @params {lunr.Token} token - A token to check for being a stop word. + * @returns {lunr.Token} + * @see {@link lunr.Pipeline} + */ +lunr.stopWordFilter = lunr.generateStopWordFilter([ + 'a', + 'able', + 'about', + 'across', + 'after', + 'all', + 'almost', + 'also', + 'am', + 'among', + 'an', + 'and', + 'any', + 'are', + 'as', + 'at', + 'be', + 'because', + 'been', + 'but', + 'by', + 'can', + 'cannot', + 'could', + 'dear', + 'did', + 'do', + 'does', + 'either', + 'else', + 'ever', + 'every', + 'for', + 'from', + 'get', + 'got', + 'had', + 'has', + 'have', + 'he', + 'her', + 'hers', + 'him', + 'his', + 'how', + 'however', + 'i', + 'if', + 'in', + 'into', + 'is', + 'it', + 'its', + 'just', + 'least', + 'let', + 'like', + 'likely', + 'may', + 'me', + 'might', + 'most', + 'must', + 'my', + 'neither', + 'no', + 'nor', + 'not', + 'of', + 'off', + 'often', + 'on', + 'only', + 'or', + 'other', + 'our', + 'own', + 'rather', + 'said', + 'say', + 'says', + 'she', + 'should', + 'since', + 'so', + 'some', + 'than', + 'that', + 'the', + 'their', + 'them', + 'then', + 'there', + 'these', + 'they', + 'this', + 'tis', + 'to', + 'too', + 'twas', + 'us', + 'wants', + 'was', + 'we', + 'were', + 'what', + 'when', + 'where', + 'which', + 'while', + 'who', + 'whom', + 'why', + 'will', + 'with', + 'would', + 'yet', + 'you', + 'your' +]) + +lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter') +/*! + * lunr.trimmer + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * lunr.trimmer is a pipeline function for trimming non word + * characters from the beginning and end of tokens before they + * enter the index. + * + * This implementation may not work correctly for non latin + * characters and should either be removed or adapted for use + * with languages with non-latin characters. + * + * @static + * @implements {lunr.PipelineFunction} + * @param {lunr.Token} token The token to pass through the filter + * @returns {lunr.Token} + * @see lunr.Pipeline + */ +lunr.trimmer = function (token) { + return token.update(function (s) { + return s.replace(/^\W+/, '').replace(/\W+$/, '') + }) +} + +lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer') +/*! + * lunr.TokenSet + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * A token set is used to store the unique list of all tokens + * within an index. Token sets are also used to represent an + * incoming query to the index, this query token set and index + * token set are then intersected to find which tokens to look + * up in the inverted index. + * + * A token set can hold multiple tokens, as in the case of the + * index token set, or it can hold a single token as in the + * case of a simple query token set. + * + * Additionally token sets are used to perform wildcard matching. + * Leading, contained and trailing wildcards are supported, and + * from this edit distance matching can also be provided. + * + * Token sets are implemented as a minimal finite state automata, + * where both common prefixes and suffixes are shared between tokens. + * This helps to reduce the space used for storing the token set. + * + * @constructor + */ +lunr.TokenSet = function () { + this.final = false + this.edges = {} + this.id = lunr.TokenSet._nextId + lunr.TokenSet._nextId += 1 +} + +/** + * Keeps track of the next, auto increment, identifier to assign + * to a new tokenSet. + * + * TokenSets require a unique identifier to be correctly minimised. + * + * @private + */ +lunr.TokenSet._nextId = 1 + +/** + * Creates a TokenSet instance from the given sorted array of words. + * + * @param {String[]} arr - A sorted array of strings to create the set from. + * @returns {lunr.TokenSet} + * @throws Will throw an error if the input array is not sorted. + */ +lunr.TokenSet.fromArray = function (arr) { + var builder = new lunr.TokenSet.Builder + + for (var i = 0, len = arr.length; i < len; i++) { + builder.insert(arr[i]) + } + + builder.finish() + return builder.root +} + +/** + * Creates a token set from a query clause. + * + * @private + * @param {Object} clause - A single clause from lunr.Query. + * @param {string} clause.term - The query clause term. + * @param {number} [clause.editDistance] - The optional edit distance for the term. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.fromClause = function (clause) { + if ('editDistance' in clause) { + return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance) + } else { + return lunr.TokenSet.fromString(clause.term) + } +} + +/** + * Creates a token set representing a single string with a specified + * edit distance. + * + * Insertions, deletions, substitutions and transpositions are each + * treated as an edit distance of 1. + * + * Increasing the allowed edit distance will have a dramatic impact + * on the performance of both creating and intersecting these TokenSets. + * It is advised to keep the edit distance less than 3. + * + * @param {string} str - The string to create the token set from. + * @param {number} editDistance - The allowed edit distance to match. + * @returns {lunr.Vector} + */ +lunr.TokenSet.fromFuzzyString = function (str, editDistance) { + var root = new lunr.TokenSet + + var stack = [{ + node: root, + editsRemaining: editDistance, + str: str + }] + + while (stack.length) { + var frame = stack.pop() + + // no edit + if (frame.str.length > 0) { + var char = frame.str.charAt(0), + noEditNode + + if (char in frame.node.edges) { + noEditNode = frame.node.edges[char] + } else { + noEditNode = new lunr.TokenSet + frame.node.edges[char] = noEditNode + } + + if (frame.str.length == 1) { + noEditNode.final = true + } + + stack.push({ + node: noEditNode, + editsRemaining: frame.editsRemaining, + str: frame.str.slice(1) + }) + } + + if (frame.editsRemaining == 0) { + continue + } + + // insertion + if ("*" in frame.node.edges) { + var insertionNode = frame.node.edges["*"] + } else { + var insertionNode = new lunr.TokenSet + frame.node.edges["*"] = insertionNode + } + + if (frame.str.length == 0) { + insertionNode.final = true + } + + stack.push({ + node: insertionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str + }) + + // deletion + // can only do a deletion if we have enough edits remaining + // and if there are characters left to delete in the string + if (frame.str.length > 1) { + stack.push({ + node: frame.node, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + + // deletion + // just removing the last character from the str + if (frame.str.length == 1) { + frame.node.final = true + } + + // substitution + // can only do a substitution if we have enough edits remaining + // and if there are characters left to substitute + if (frame.str.length >= 1) { + if ("*" in frame.node.edges) { + var substitutionNode = frame.node.edges["*"] + } else { + var substitutionNode = new lunr.TokenSet + frame.node.edges["*"] = substitutionNode + } + + if (frame.str.length == 1) { + substitutionNode.final = true + } + + stack.push({ + node: substitutionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + + // transposition + // can only do a transposition if there are edits remaining + // and there are enough characters to transpose + if (frame.str.length > 1) { + var charA = frame.str.charAt(0), + charB = frame.str.charAt(1), + transposeNode + + if (charB in frame.node.edges) { + transposeNode = frame.node.edges[charB] + } else { + transposeNode = new lunr.TokenSet + frame.node.edges[charB] = transposeNode + } + + if (frame.str.length == 1) { + transposeNode.final = true + } + + stack.push({ + node: transposeNode, + editsRemaining: frame.editsRemaining - 1, + str: charA + frame.str.slice(2) + }) + } + } + + return root +} + +/** + * Creates a TokenSet from a string. + * + * The string may contain one or more wildcard characters (*) + * that will allow wildcard matching when intersecting with + * another TokenSet. + * + * @param {string} str - The string to create a TokenSet from. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.fromString = function (str) { + var node = new lunr.TokenSet, + root = node + + /* + * Iterates through all characters within the passed string + * appending a node for each character. + * + * When a wildcard character is found then a self + * referencing edge is introduced to continually match + * any number of any characters. + */ + for (var i = 0, len = str.length; i < len; i++) { + var char = str[i], + final = (i == len - 1) + + if (char == "*") { + node.edges[char] = node + node.final = final + + } else { + var next = new lunr.TokenSet + next.final = final + + node.edges[char] = next + node = next + } + } + + return root +} + +/** + * Converts this TokenSet into an array of strings + * contained within the TokenSet. + * + * This is not intended to be used on a TokenSet that + * contains wildcards, in these cases the results are + * undefined and are likely to cause an infinite loop. + * + * @returns {string[]} + */ +lunr.TokenSet.prototype.toArray = function () { + var words = [] + + var stack = [{ + prefix: "", + node: this + }] + + while (stack.length) { + var frame = stack.pop(), + edges = Object.keys(frame.node.edges), + len = edges.length + + if (frame.node.final) { + /* In Safari, at this point the prefix is sometimes corrupted, see: + * https://github.com/olivernn/lunr.js/issues/279 Calling any + * String.prototype method forces Safari to "cast" this string to what + * it's supposed to be, fixing the bug. */ + frame.prefix.charAt(0) + words.push(frame.prefix) + } + + for (var i = 0; i < len; i++) { + var edge = edges[i] + + stack.push({ + prefix: frame.prefix.concat(edge), + node: frame.node.edges[edge] + }) + } + } + + return words +} + +/** + * Generates a string representation of a TokenSet. + * + * This is intended to allow TokenSets to be used as keys + * in objects, largely to aid the construction and minimisation + * of a TokenSet. As such it is not designed to be a human + * friendly representation of the TokenSet. + * + * @returns {string} + */ +lunr.TokenSet.prototype.toString = function () { + // NOTE: Using Object.keys here as this.edges is very likely + // to enter 'hash-mode' with many keys being added + // + // avoiding a for-in loop here as it leads to the function + // being de-optimised (at least in V8). From some simple + // benchmarks the performance is comparable, but allowing + // V8 to optimize may mean easy performance wins in the future. + + if (this._str) { + return this._str + } + + var str = this.final ? '1' : '0', + labels = Object.keys(this.edges).sort(), + len = labels.length + + for (var i = 0; i < len; i++) { + var label = labels[i], + node = this.edges[label] + + str = str + label + node.id + } + + return str +} + +/** + * Returns a new TokenSet that is the intersection of + * this TokenSet and the passed TokenSet. + * + * This intersection will take into account any wildcards + * contained within the TokenSet. + * + * @param {lunr.TokenSet} b - An other TokenSet to intersect with. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.prototype.intersect = function (b) { + var output = new lunr.TokenSet, + frame = undefined + + var stack = [{ + qNode: b, + output: output, + node: this + }] + + while (stack.length) { + frame = stack.pop() + + // NOTE: As with the #toString method, we are using + // Object.keys and a for loop instead of a for-in loop + // as both of these objects enter 'hash' mode, causing + // the function to be de-optimised in V8 + var qEdges = Object.keys(frame.qNode.edges), + qLen = qEdges.length, + nEdges = Object.keys(frame.node.edges), + nLen = nEdges.length + + for (var q = 0; q < qLen; q++) { + var qEdge = qEdges[q] + + for (var n = 0; n < nLen; n++) { + var nEdge = nEdges[n] + + if (nEdge == qEdge || qEdge == '*') { + var node = frame.node.edges[nEdge], + qNode = frame.qNode.edges[qEdge], + final = node.final && qNode.final, + next = undefined + + if (nEdge in frame.output.edges) { + // an edge already exists for this character + // no need to create a new node, just set the finality + // bit unless this node is already final + next = frame.output.edges[nEdge] + next.final = next.final || final + + } else { + // no edge exists yet, must create one + // set the finality bit and insert it + // into the output + next = new lunr.TokenSet + next.final = final + frame.output.edges[nEdge] = next + } + + stack.push({ + qNode: qNode, + output: next, + node: node + }) + } + } + } + } + + return output +} +lunr.TokenSet.Builder = function () { + this.previousWord = "" + this.root = new lunr.TokenSet + this.uncheckedNodes = [] + this.minimizedNodes = {} +} + +lunr.TokenSet.Builder.prototype.insert = function (word) { + var node, + commonPrefix = 0 + + if (word < this.previousWord) { + throw new Error ("Out of order word insertion") + } + + for (var i = 0; i < word.length && i < this.previousWord.length; i++) { + if (word[i] != this.previousWord[i]) break + commonPrefix++ + } + + this.minimize(commonPrefix) + + if (this.uncheckedNodes.length == 0) { + node = this.root + } else { + node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child + } + + for (var i = commonPrefix; i < word.length; i++) { + var nextNode = new lunr.TokenSet, + char = word[i] + + node.edges[char] = nextNode + + this.uncheckedNodes.push({ + parent: node, + char: char, + child: nextNode + }) + + node = nextNode + } + + node.final = true + this.previousWord = word +} + +lunr.TokenSet.Builder.prototype.finish = function () { + this.minimize(0) +} + +lunr.TokenSet.Builder.prototype.minimize = function (downTo) { + for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) { + var node = this.uncheckedNodes[i], + childKey = node.child.toString() + + if (childKey in this.minimizedNodes) { + node.parent.edges[node.char] = this.minimizedNodes[childKey] + } else { + // Cache the key for this node since + // we know it can't change anymore + node.child._str = childKey + + this.minimizedNodes[childKey] = node.child + } + + this.uncheckedNodes.pop() + } +} +/*! + * lunr.Index + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * An index contains the built index of all documents and provides a query interface + * to the index. + * + * Usually instances of lunr.Index will not be created using this constructor, instead + * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be + * used to load previously built and serialized indexes. + * + * @constructor + * @param {Object} attrs - The attributes of the built search index. + * @param {Object} attrs.invertedIndex - An index of term/field to document reference. + * @param {Object} attrs.fieldVectors - Field vectors + * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens. + * @param {string[]} attrs.fields - The names of indexed document fields. + * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms. + */ +lunr.Index = function (attrs) { + this.invertedIndex = attrs.invertedIndex + this.fieldVectors = attrs.fieldVectors + this.tokenSet = attrs.tokenSet + this.fields = attrs.fields + this.pipeline = attrs.pipeline +} + +/** + * A result contains details of a document matching a search query. + * @typedef {Object} lunr.Index~Result + * @property {string} ref - The reference of the document this result represents. + * @property {number} score - A number between 0 and 1 representing how similar this document is to the query. + * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match. + */ + +/** + * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple + * query language which itself is parsed into an instance of lunr.Query. + * + * For programmatically building queries it is advised to directly use lunr.Query, the query language + * is best used for human entered text rather than program generated text. + * + * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported + * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello' + * or 'world', though those that contain both will rank higher in the results. + * + * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can + * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding + * wildcards will increase the number of documents that will be found but can also have a negative + * impact on query performance, especially with wildcards at the beginning of a term. + * + * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term + * hello in the title field will match this query. Using a field not present in the index will lead + * to an error being thrown. + * + * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term + * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported + * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2. + * Avoid large values for edit distance to improve query performance. + * + * Each term also supports a presence modifier. By default a term's presence in document is optional, however + * this can be changed to either required or prohibited. For a term's presence to be required in a document the + * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and + * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not + * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'. + * + * To escape special characters the backslash character '\' can be used, this allows searches to include + * characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead + * of attempting to apply a boost of 2 to the search term "foo". + * + * @typedef {string} lunr.Index~QueryString + * @example Simple single term query + * hello + * @example Multiple term query + * hello world + * @example term scoped to a field + * title:hello + * @example term with a boost of 10 + * hello^10 + * @example term with an edit distance of 2 + * hello~2 + * @example terms with presence modifiers + * -foo +bar baz + */ + +/** + * Performs a search against the index using lunr query syntax. + * + * Results will be returned sorted by their score, the most relevant results + * will be returned first. For details on how the score is calculated, please see + * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}. + * + * For more programmatic querying use lunr.Index#query. + * + * @param {lunr.Index~QueryString} queryString - A string containing a lunr query. + * @throws {lunr.QueryParseError} If the passed query string cannot be parsed. + * @returns {lunr.Index~Result[]} + */ +lunr.Index.prototype.search = function (queryString) { + return this.query(function (query) { + var parser = new lunr.QueryParser(queryString, query) + parser.parse() + }) +} + +/** + * A query builder callback provides a query object to be used to express + * the query to perform on the index. + * + * @callback lunr.Index~queryBuilder + * @param {lunr.Query} query - The query object to build up. + * @this lunr.Query + */ + +/** + * Performs a query against the index using the yielded lunr.Query object. + * + * If performing programmatic queries against the index, this method is preferred + * over lunr.Index#search so as to avoid the additional query parsing overhead. + * + * A query object is yielded to the supplied function which should be used to + * express the query to be run against the index. + * + * Note that although this function takes a callback parameter it is _not_ an + * asynchronous operation, the callback is just yielded a query object to be + * customized. + * + * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query. + * @returns {lunr.Index~Result[]} + */ +lunr.Index.prototype.query = function (fn) { + // for each query clause + // * process terms + // * expand terms from token set + // * find matching documents and metadata + // * get document vectors + // * score documents + + var query = new lunr.Query(this.fields), + matchingFields = Object.create(null), + queryVectors = Object.create(null), + termFieldCache = Object.create(null), + requiredMatches = Object.create(null), + prohibitedMatches = Object.create(null) + + /* + * To support field level boosts a query vector is created per + * field. An empty vector is eagerly created to support negated + * queries. + */ + for (var i = 0; i < this.fields.length; i++) { + queryVectors[this.fields[i]] = new lunr.Vector + } + + fn.call(query, query) + + for (var i = 0; i < query.clauses.length; i++) { + /* + * Unless the pipeline has been disabled for this term, which is + * the case for terms with wildcards, we need to pass the clause + * term through the search pipeline. A pipeline returns an array + * of processed terms. Pipeline functions may expand the passed + * term, which means we may end up performing multiple index lookups + * for a single query term. + */ + var clause = query.clauses[i], + terms = null, + clauseMatches = lunr.Set.empty + + if (clause.usePipeline) { + terms = this.pipeline.runString(clause.term, { + fields: clause.fields + }) + } else { + terms = [clause.term] + } + + for (var m = 0; m < terms.length; m++) { + var term = terms[m] + + /* + * Each term returned from the pipeline needs to use the same query + * clause object, e.g. the same boost and or edit distance. The + * simplest way to do this is to re-use the clause object but mutate + * its term property. + */ + clause.term = term + + /* + * From the term in the clause we create a token set which will then + * be used to intersect the indexes token set to get a list of terms + * to lookup in the inverted index + */ + var termTokenSet = lunr.TokenSet.fromClause(clause), + expandedTerms = this.tokenSet.intersect(termTokenSet).toArray() + + /* + * If a term marked as required does not exist in the tokenSet it is + * impossible for the search to return any matches. We set all the field + * scoped required matches set to empty and stop examining any further + * clauses. + */ + if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) { + for (var k = 0; k < clause.fields.length; k++) { + var field = clause.fields[k] + requiredMatches[field] = lunr.Set.empty + } + + break + } + + for (var j = 0; j < expandedTerms.length; j++) { + /* + * For each term get the posting and termIndex, this is required for + * building the query vector. + */ + var expandedTerm = expandedTerms[j], + posting = this.invertedIndex[expandedTerm], + termIndex = posting._index + + for (var k = 0; k < clause.fields.length; k++) { + /* + * For each field that this query term is scoped by (by default + * all fields are in scope) we need to get all the document refs + * that have this term in that field. + * + * The posting is the entry in the invertedIndex for the matching + * term from above. + */ + var field = clause.fields[k], + fieldPosting = posting[field], + matchingDocumentRefs = Object.keys(fieldPosting), + termField = expandedTerm + "/" + field, + matchingDocumentsSet = new lunr.Set(matchingDocumentRefs) + + /* + * if the presence of this term is required ensure that the matching + * documents are added to the set of required matches for this clause. + * + */ + if (clause.presence == lunr.Query.presence.REQUIRED) { + clauseMatches = clauseMatches.union(matchingDocumentsSet) + + if (requiredMatches[field] === undefined) { + requiredMatches[field] = lunr.Set.complete + } + } + + /* + * if the presence of this term is prohibited ensure that the matching + * documents are added to the set of prohibited matches for this field, + * creating that set if it does not yet exist. + */ + if (clause.presence == lunr.Query.presence.PROHIBITED) { + if (prohibitedMatches[field] === undefined) { + prohibitedMatches[field] = lunr.Set.empty + } + + prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet) + + /* + * Prohibited matches should not be part of the query vector used for + * similarity scoring and no metadata should be extracted so we continue + * to the next field + */ + continue + } + + /* + * The query field vector is populated using the termIndex found for + * the term and a unit value with the appropriate boost applied. + * Using upsert because there could already be an entry in the vector + * for the term we are working with. In that case we just add the scores + * together. + */ + queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b }) + + /** + * If we've already seen this term, field combo then we've already collected + * the matching documents and metadata, no need to go through all that again + */ + if (termFieldCache[termField]) { + continue + } + + for (var l = 0; l < matchingDocumentRefs.length; l++) { + /* + * All metadata for this term/field/document triple + * are then extracted and collected into an instance + * of lunr.MatchData ready to be returned in the query + * results + */ + var matchingDocumentRef = matchingDocumentRefs[l], + matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field), + metadata = fieldPosting[matchingDocumentRef], + fieldMatch + + if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) { + matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata) + } else { + fieldMatch.add(expandedTerm, field, metadata) + } + + } + + termFieldCache[termField] = true + } + } + } + + /** + * If the presence was required we need to update the requiredMatches field sets. + * We do this after all fields for the term have collected their matches because + * the clause terms presence is required in _any_ of the fields not _all_ of the + * fields. + */ + if (clause.presence === lunr.Query.presence.REQUIRED) { + for (var k = 0; k < clause.fields.length; k++) { + var field = clause.fields[k] + requiredMatches[field] = requiredMatches[field].intersect(clauseMatches) + } + } + } + + /** + * Need to combine the field scoped required and prohibited + * matching documents into a global set of required and prohibited + * matches + */ + var allRequiredMatches = lunr.Set.complete, + allProhibitedMatches = lunr.Set.empty + + for (var i = 0; i < this.fields.length; i++) { + var field = this.fields[i] + + if (requiredMatches[field]) { + allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field]) + } + + if (prohibitedMatches[field]) { + allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field]) + } + } + + var matchingFieldRefs = Object.keys(matchingFields), + results = [], + matches = Object.create(null) + + /* + * If the query is negated (contains only prohibited terms) + * we need to get _all_ fieldRefs currently existing in the + * index. This is only done when we know that the query is + * entirely prohibited terms to avoid any cost of getting all + * fieldRefs unnecessarily. + * + * Additionally, blank MatchData must be created to correctly + * populate the results. + */ + if (query.isNegated()) { + matchingFieldRefs = Object.keys(this.fieldVectors) + + for (var i = 0; i < matchingFieldRefs.length; i++) { + var matchingFieldRef = matchingFieldRefs[i] + var fieldRef = lunr.FieldRef.fromString(matchingFieldRef) + matchingFields[matchingFieldRef] = new lunr.MatchData + } + } + + for (var i = 0; i < matchingFieldRefs.length; i++) { + /* + * Currently we have document fields that match the query, but we + * need to return documents. The matchData and scores are combined + * from multiple fields belonging to the same document. + * + * Scores are calculated by field, using the query vectors created + * above, and combined into a final document score using addition. + */ + var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]), + docRef = fieldRef.docRef + + if (!allRequiredMatches.contains(docRef)) { + continue + } + + if (allProhibitedMatches.contains(docRef)) { + continue + } + + var fieldVector = this.fieldVectors[fieldRef], + score = queryVectors[fieldRef.fieldName].similarity(fieldVector), + docMatch + + if ((docMatch = matches[docRef]) !== undefined) { + docMatch.score += score + docMatch.matchData.combine(matchingFields[fieldRef]) + } else { + var match = { + ref: docRef, + score: score, + matchData: matchingFields[fieldRef] + } + matches[docRef] = match + results.push(match) + } + } + + /* + * Sort the results objects by score, highest first. + */ + return results.sort(function (a, b) { + return b.score - a.score + }) +} + +/** + * Prepares the index for JSON serialization. + * + * The schema for this JSON blob will be described in a + * separate JSON schema file. + * + * @returns {Object} + */ +lunr.Index.prototype.toJSON = function () { + var invertedIndex = Object.keys(this.invertedIndex) + .sort() + .map(function (term) { + return [term, this.invertedIndex[term]] + }, this) + + var fieldVectors = Object.keys(this.fieldVectors) + .map(function (ref) { + return [ref, this.fieldVectors[ref].toJSON()] + }, this) + + return { + version: lunr.version, + fields: this.fields, + fieldVectors: fieldVectors, + invertedIndex: invertedIndex, + pipeline: this.pipeline.toJSON() + } +} + +/** + * Loads a previously serialized lunr.Index + * + * @param {Object} serializedIndex - A previously serialized lunr.Index + * @returns {lunr.Index} + */ +lunr.Index.load = function (serializedIndex) { + var attrs = {}, + fieldVectors = {}, + serializedVectors = serializedIndex.fieldVectors, + invertedIndex = Object.create(null), + serializedInvertedIndex = serializedIndex.invertedIndex, + tokenSetBuilder = new lunr.TokenSet.Builder, + pipeline = lunr.Pipeline.load(serializedIndex.pipeline) + + if (serializedIndex.version != lunr.version) { + lunr.utils.warn("Version mismatch when loading serialised index. Current version of lunr '" + lunr.version + "' does not match serialized index '" + serializedIndex.version + "'") + } + + for (var i = 0; i < serializedVectors.length; i++) { + var tuple = serializedVectors[i], + ref = tuple[0], + elements = tuple[1] + + fieldVectors[ref] = new lunr.Vector(elements) + } + + for (var i = 0; i < serializedInvertedIndex.length; i++) { + var tuple = serializedInvertedIndex[i], + term = tuple[0], + posting = tuple[1] + + tokenSetBuilder.insert(term) + invertedIndex[term] = posting + } + + tokenSetBuilder.finish() + + attrs.fields = serializedIndex.fields + + attrs.fieldVectors = fieldVectors + attrs.invertedIndex = invertedIndex + attrs.tokenSet = tokenSetBuilder.root + attrs.pipeline = pipeline + + return new lunr.Index(attrs) +} +/*! + * lunr.Builder + * Copyright (C) 2020 Oliver Nightingale + */ + +/** + * lunr.Builder performs indexing on a set of documents and + * returns instances of lunr.Index ready for querying. + * + * All configuration of the index is done via the builder, the + * fields to index, the document reference, the text processing + * pipeline and document scoring parameters are all set on the + * builder before indexing. + * + * @constructor + * @property {string} _ref - Internal reference to the document reference field. + * @property {string[]} _fields - Internal reference to the document fields to index. + * @property {object} invertedIndex - The inverted index maps terms to document fields. + * @property {object} documentTermFrequencies - Keeps track of document term frequencies. + * @property {object} documentLengths - Keeps track of the length of documents added to the index. + * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing. + * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing. + * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index. + * @property {number} documentCount - Keeps track of the total number of documents indexed. + * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75. + * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2. + * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space. + * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index. + */ +lunr.Builder = function () { + this._ref = "id" + this._fields = Object.create(null) + this._documents = Object.create(null) + this.invertedIndex = Object.create(null) + this.fieldTermFrequencies = {} + this.fieldLengths = {} + this.tokenizer = lunr.tokenizer + this.pipeline = new lunr.Pipeline + this.searchPipeline = new lunr.Pipeline + this.documentCount = 0 + this._b = 0.75 + this._k1 = 1.2 + this.termIndex = 0 + this.metadataWhitelist = [] +} + +/** + * Sets the document field used as the document reference. Every document must have this field. + * The type of this field in the document should be a string, if it is not a string it will be + * coerced into a string by calling toString. + * + * The default ref is 'id'. + * + * The ref should _not_ be changed during indexing, it should be set before any documents are + * added to the index. Changing it during indexing can lead to inconsistent results. + * + * @param {string} ref - The name of the reference field in the document. + */ +lunr.Builder.prototype.ref = function (ref) { + this._ref = ref +} + +/** + * A function that is used to extract a field from a document. + * + * Lunr expects a field to be at the top level of a document, if however the field + * is deeply nested within a document an extractor function can be used to extract + * the right field for indexing. + * + * @callback fieldExtractor + * @param {object} doc - The document being added to the index. + * @returns {?(string|object|object[])} obj - The object that will be indexed for this field. + * @example Extracting a nested field + * function (doc) { return doc.nested.field } + */ + +/** + * Adds a field to the list of document fields that will be indexed. Every document being + * indexed should have this field. Null values for this field in indexed documents will + * not cause errors but will limit the chance of that document being retrieved by searches. + * + * All fields should be added before adding documents to the index. Adding fields after + * a document has been indexed will have no effect on already indexed documents. + * + * Fields can be boosted at build time. This allows terms within that field to have more + * importance when ranking search results. Use a field boost to specify that matches within + * one field are more important than other fields. + * + * @param {string} fieldName - The name of a field to index in all documents. + * @param {object} attributes - Optional attributes associated with this field. + * @param {number} [attributes.boost=1] - Boost applied to all terms within this field. + * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document. + * @throws {RangeError} fieldName cannot contain unsupported characters '/' + */ +lunr.Builder.prototype.field = function (fieldName, attributes) { + if (/\//.test(fieldName)) { + throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'") + } + + this._fields[fieldName] = attributes || {} +} + +/** + * A parameter to tune the amount of field length normalisation that is applied when + * calculating relevance scores. A value of 0 will completely disable any normalisation + * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b + * will be clamped to the range 0 - 1. + * + * @param {number} number - The value to set for this tuning parameter. + */ +lunr.Builder.prototype.b = function (number) { + if (number < 0) { + this._b = 0 + } else if (number > 1) { + this._b = 1 + } else { + this._b = number + } +} + +/** + * A parameter that controls the speed at which a rise in term frequency results in term + * frequency saturation. The default value is 1.2. Setting this to a higher value will give + * slower saturation levels, a lower value will result in quicker saturation. + * + * @param {number} number - The value to set for this tuning parameter. + */ +lunr.Builder.prototype.k1 = function (number) { + this._k1 = number +} + +/** + * Adds a document to the index. + * + * Before adding fields to the index the index should have been fully setup, with the document + * ref and all fields to index already having been specified. + * + * The document must have a field name as specified by the ref (by default this is 'id') and + * it should have all fields defined for indexing, though null or undefined values will not + * cause errors. + * + * Entire documents can be boosted at build time. Applying a boost to a document indicates that + * this document should rank higher in search results than other documents. + * + * @param {object} doc - The document to add to the index. + * @param {object} attributes - Optional attributes associated with this document. + * @param {number} [attributes.boost=1] - Boost applied to all terms within this document. + */ +lunr.Builder.prototype.add = function (doc, attributes) { + var docRef = doc[this._ref], + fields = Object.keys(this._fields) + + this._documents[docRef] = attributes || {} + this.documentCount += 1 + + for (var i = 0; i < fields.length; i++) { + var fieldName = fields[i], + extractor = this._fields[fieldName].extractor, + field = extractor ? extractor(doc) : doc[fieldName], + tokens = this.tokenizer(field, { + fields: [fieldName] + }), + terms = this.pipeline.run(tokens), + fieldRef = new lunr.FieldRef (docRef, fieldName), + fieldTerms = Object.create(null) + + this.fieldTermFrequencies[fieldRef] = fieldTerms + this.fieldLengths[fieldRef] = 0 + + // store the length of this field for this document + this.fieldLengths[fieldRef] += terms.length + + // calculate term frequencies for this field + for (var j = 0; j < terms.length; j++) { + var term = terms[j] + + if (fieldTerms[term] == undefined) { + fieldTerms[term] = 0 + } + + fieldTerms[term] += 1 + + // add to inverted index + // create an initial posting if one doesn't exist + if (this.invertedIndex[term] == undefined) { + var posting = Object.create(null) + posting["_index"] = this.termIndex + this.termIndex += 1 + + for (var k = 0; k < fields.length; k++) { + posting[fields[k]] = Object.create(null) + } + + this.invertedIndex[term] = posting + } + + // add an entry for this term/fieldName/docRef to the invertedIndex + if (this.invertedIndex[term][fieldName][docRef] == undefined) { + this.invertedIndex[term][fieldName][docRef] = Object.create(null) + } + + // store all whitelisted metadata about this token in the + // inverted index + for (var l = 0; l < this.metadataWhitelist.length; l++) { + var metadataKey = this.metadataWhitelist[l], + metadata = term.metadata[metadataKey] + + if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) { + this.invertedIndex[term][fieldName][docRef][metadataKey] = [] + } + + this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata) + } + } + + } +} + +/** + * Calculates the average document length for this index + * + * @private + */ +lunr.Builder.prototype.calculateAverageFieldLengths = function () { + + var fieldRefs = Object.keys(this.fieldLengths), + numberOfFields = fieldRefs.length, + accumulator = {}, + documentsWithField = {} + + for (var i = 0; i < numberOfFields; i++) { + var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), + field = fieldRef.fieldName + + documentsWithField[field] || (documentsWithField[field] = 0) + documentsWithField[field] += 1 + + accumulator[field] || (accumulator[field] = 0) + accumulator[field] += this.fieldLengths[fieldRef] + } + + var fields = Object.keys(this._fields) + + for (var i = 0; i < fields.length; i++) { + var fieldName = fields[i] + accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName] + } + + this.averageFieldLength = accumulator +} + +/** + * Builds a vector space model of every document using lunr.Vector + * + * @private + */ +lunr.Builder.prototype.createFieldVectors = function () { + var fieldVectors = {}, + fieldRefs = Object.keys(this.fieldTermFrequencies), + fieldRefsLength = fieldRefs.length, + termIdfCache = Object.create(null) + + for (var i = 0; i < fieldRefsLength; i++) { + var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), + fieldName = fieldRef.fieldName, + fieldLength = this.fieldLengths[fieldRef], + fieldVector = new lunr.Vector, + termFrequencies = this.fieldTermFrequencies[fieldRef], + terms = Object.keys(termFrequencies), + termsLength = terms.length + + + var fieldBoost = this._fields[fieldName].boost || 1, + docBoost = this._documents[fieldRef.docRef].boost || 1 + + for (var j = 0; j < termsLength; j++) { + var term = terms[j], + tf = termFrequencies[term], + termIndex = this.invertedIndex[term]._index, + idf, score, scoreWithPrecision + + if (termIdfCache[term] === undefined) { + idf = lunr.idf(this.invertedIndex[term], this.documentCount) + termIdfCache[term] = idf + } else { + idf = termIdfCache[term] + } + + score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf) + score *= fieldBoost + score *= docBoost + scoreWithPrecision = Math.round(score * 1000) / 1000 + // Converts 1.23456789 to 1.234. + // Reducing the precision so that the vectors take up less + // space when serialised. Doing it now so that they behave + // the same before and after serialisation. Also, this is + // the fastest approach to reducing a number's precision in + // JavaScript. + + fieldVector.insert(termIndex, scoreWithPrecision) + } + + fieldVectors[fieldRef] = fieldVector + } + + this.fieldVectors = fieldVectors +} + +/** + * Creates a token set of all tokens in the index using lunr.TokenSet + * + * @private + */ +lunr.Builder.prototype.createTokenSet = function () { + this.tokenSet = lunr.TokenSet.fromArray( + Object.keys(this.invertedIndex).sort() + ) +} + +/** + * Builds the index, creating an instance of lunr.Index. + * + * This completes the indexing process and should only be called + * once all documents have been added to the index. + * + * @returns {lunr.Index} + */ +lunr.Builder.prototype.build = function () { + this.calculateAverageFieldLengths() + this.createFieldVectors() + this.createTokenSet() + + return new lunr.Index({ + invertedIndex: this.invertedIndex, + fieldVectors: this.fieldVectors, + tokenSet: this.tokenSet, + fields: Object.keys(this._fields), + pipeline: this.searchPipeline + }) +} + +/** + * Applies a plugin to the index builder. + * + * A plugin is a function that is called with the index builder as its context. + * Plugins can be used to customise or extend the behaviour of the index + * in some way. A plugin is just a function, that encapsulated the custom + * behaviour that should be applied when building the index. + * + * The plugin function will be called with the index builder as its argument, additional + * arguments can also be passed when calling use. The function will be called + * with the index builder as its context. + * + * @param {Function} plugin The plugin to apply. + */ +lunr.Builder.prototype.use = function (fn) { + var args = Array.prototype.slice.call(arguments, 1) + args.unshift(this) + fn.apply(this, args) +} +/** + * Contains and collects metadata about a matching document. + * A single instance of lunr.MatchData is returned as part of every + * lunr.Index~Result. + * + * @constructor + * @param {string} term - The term this match data is associated with + * @param {string} field - The field in which the term was found + * @param {object} metadata - The metadata recorded about this term in this field + * @property {object} metadata - A cloned collection of metadata associated with this document. + * @see {@link lunr.Index~Result} + */ +lunr.MatchData = function (term, field, metadata) { + var clonedMetadata = Object.create(null), + metadataKeys = Object.keys(metadata || {}) + + // Cloning the metadata to prevent the original + // being mutated during match data combination. + // Metadata is kept in an array within the inverted + // index so cloning the data can be done with + // Array#slice + for (var i = 0; i < metadataKeys.length; i++) { + var key = metadataKeys[i] + clonedMetadata[key] = metadata[key].slice() + } + + this.metadata = Object.create(null) + + if (term !== undefined) { + this.metadata[term] = Object.create(null) + this.metadata[term][field] = clonedMetadata + } +} + +/** + * An instance of lunr.MatchData will be created for every term that matches a + * document. However only one instance is required in a lunr.Index~Result. This + * method combines metadata from another instance of lunr.MatchData with this + * objects metadata. + * + * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one. + * @see {@link lunr.Index~Result} + */ +lunr.MatchData.prototype.combine = function (otherMatchData) { + var terms = Object.keys(otherMatchData.metadata) + + for (var i = 0; i < terms.length; i++) { + var term = terms[i], + fields = Object.keys(otherMatchData.metadata[term]) + + if (this.metadata[term] == undefined) { + this.metadata[term] = Object.create(null) + } + + for (var j = 0; j < fields.length; j++) { + var field = fields[j], + keys = Object.keys(otherMatchData.metadata[term][field]) + + if (this.metadata[term][field] == undefined) { + this.metadata[term][field] = Object.create(null) + } + + for (var k = 0; k < keys.length; k++) { + var key = keys[k] + + if (this.metadata[term][field][key] == undefined) { + this.metadata[term][field][key] = otherMatchData.metadata[term][field][key] + } else { + this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key]) + } + + } + } + } +} + +/** + * Add metadata for a term/field pair to this instance of match data. + * + * @param {string} term - The term this match data is associated with + * @param {string} field - The field in which the term was found + * @param {object} metadata - The metadata recorded about this term in this field + */ +lunr.MatchData.prototype.add = function (term, field, metadata) { + if (!(term in this.metadata)) { + this.metadata[term] = Object.create(null) + this.metadata[term][field] = metadata + return + } + + if (!(field in this.metadata[term])) { + this.metadata[term][field] = metadata + return + } + + var metadataKeys = Object.keys(metadata) + + for (var i = 0; i < metadataKeys.length; i++) { + var key = metadataKeys[i] + + if (key in this.metadata[term][field]) { + this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key]) + } else { + this.metadata[term][field][key] = metadata[key] + } + } +} +/** + * A lunr.Query provides a programmatic way of defining queries to be performed + * against a {@link lunr.Index}. + * + * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method + * so the query object is pre-initialized with the right index fields. + * + * @constructor + * @property {lunr.Query~Clause[]} clauses - An array of query clauses. + * @property {string[]} allFields - An array of all available fields in a lunr.Index. + */ +lunr.Query = function (allFields) { + this.clauses = [] + this.allFields = allFields +} + +/** + * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause. + * + * This allows wildcards to be added to the beginning and end of a term without having to manually do any string + * concatenation. + * + * The wildcard constants can be bitwise combined to select both leading and trailing wildcards. + * + * @constant + * @default + * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour + * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists + * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists + * @see lunr.Query~Clause + * @see lunr.Query#clause + * @see lunr.Query#term + * @example query term with trailing wildcard + * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING }) + * @example query term with leading and trailing wildcard + * query.term('foo', { + * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING + * }) + */ + +lunr.Query.wildcard = new String ("*") +lunr.Query.wildcard.NONE = 0 +lunr.Query.wildcard.LEADING = 1 +lunr.Query.wildcard.TRAILING = 2 + +/** + * Constants for indicating what kind of presence a term must have in matching documents. + * + * @constant + * @enum {number} + * @see lunr.Query~Clause + * @see lunr.Query#clause + * @see lunr.Query#term + * @example query term with required presence + * query.term('foo', { presence: lunr.Query.presence.REQUIRED }) + */ +lunr.Query.presence = { + /** + * Term's presence in a document is optional, this is the default value. + */ + OPTIONAL: 1, + + /** + * Term's presence in a document is required, documents that do not contain + * this term will not be returned. + */ + REQUIRED: 2, + + /** + * Term's presence in a document is prohibited, documents that do contain + * this term will not be returned. + */ + PROHIBITED: 3 +} + +/** + * A single clause in a {@link lunr.Query} contains a term and details on how to + * match that term against a {@link lunr.Index}. + * + * @typedef {Object} lunr.Query~Clause + * @property {string[]} fields - The fields in an index this clause should be matched against. + * @property {number} [boost=1] - Any boost that should be applied when matching this clause. + * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be. + * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline. + * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended. + * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents. + */ + +/** + * Adds a {@link lunr.Query~Clause} to this query. + * + * Unless the clause contains the fields to be matched all fields will be matched. In addition + * a default boost of 1 is applied to the clause. + * + * @param {lunr.Query~Clause} clause - The clause to add to this query. + * @see lunr.Query~Clause + * @returns {lunr.Query} + */ +lunr.Query.prototype.clause = function (clause) { + if (!('fields' in clause)) { + clause.fields = this.allFields + } + + if (!('boost' in clause)) { + clause.boost = 1 + } + + if (!('usePipeline' in clause)) { + clause.usePipeline = true + } + + if (!('wildcard' in clause)) { + clause.wildcard = lunr.Query.wildcard.NONE + } + + if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) { + clause.term = "*" + clause.term + } + + if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) { + clause.term = "" + clause.term + "*" + } + + if (!('presence' in clause)) { + clause.presence = lunr.Query.presence.OPTIONAL + } + + this.clauses.push(clause) + + return this +} + +/** + * A negated query is one in which every clause has a presence of + * prohibited. These queries require some special processing to return + * the expected results. + * + * @returns boolean + */ +lunr.Query.prototype.isNegated = function () { + for (var i = 0; i < this.clauses.length; i++) { + if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) { + return false + } + } + + return true +} + +/** + * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause} + * to the list of clauses that make up this query. + * + * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion + * to a token or token-like string should be done before calling this method. + * + * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an + * array, each term in the array will share the same options. + * + * @param {object|object[]} term - The term(s) to add to the query. + * @param {object} [options] - Any additional properties to add to the query clause. + * @returns {lunr.Query} + * @see lunr.Query#clause + * @see lunr.Query~Clause + * @example adding a single term to a query + * query.term("foo") + * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard + * query.term("foo", { + * fields: ["title"], + * boost: 10, + * wildcard: lunr.Query.wildcard.TRAILING + * }) + * @example using lunr.tokenizer to convert a string to tokens before using them as terms + * query.term(lunr.tokenizer("foo bar")) + */ +lunr.Query.prototype.term = function (term, options) { + if (Array.isArray(term)) { + term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this) + return this + } + + var clause = options || {} + clause.term = term.toString() + + this.clause(clause) + + return this +} +lunr.QueryParseError = function (message, start, end) { + this.name = "QueryParseError" + this.message = message + this.start = start + this.end = end +} + +lunr.QueryParseError.prototype = new Error +lunr.QueryLexer = function (str) { + this.lexemes = [] + this.str = str + this.length = str.length + this.pos = 0 + this.start = 0 + this.escapeCharPositions = [] +} + +lunr.QueryLexer.prototype.run = function () { + var state = lunr.QueryLexer.lexText + + while (state) { + state = state(this) + } +} + +lunr.QueryLexer.prototype.sliceString = function () { + var subSlices = [], + sliceStart = this.start, + sliceEnd = this.pos + + for (var i = 0; i < this.escapeCharPositions.length; i++) { + sliceEnd = this.escapeCharPositions[i] + subSlices.push(this.str.slice(sliceStart, sliceEnd)) + sliceStart = sliceEnd + 1 + } + + subSlices.push(this.str.slice(sliceStart, this.pos)) + this.escapeCharPositions.length = 0 + + return subSlices.join('') +} + +lunr.QueryLexer.prototype.emit = function (type) { + this.lexemes.push({ + type: type, + str: this.sliceString(), + start: this.start, + end: this.pos + }) + + this.start = this.pos +} + +lunr.QueryLexer.prototype.escapeCharacter = function () { + this.escapeCharPositions.push(this.pos - 1) + this.pos += 1 +} + +lunr.QueryLexer.prototype.next = function () { + if (this.pos >= this.length) { + return lunr.QueryLexer.EOS + } + + var char = this.str.charAt(this.pos) + this.pos += 1 + return char +} + +lunr.QueryLexer.prototype.width = function () { + return this.pos - this.start +} + +lunr.QueryLexer.prototype.ignore = function () { + if (this.start == this.pos) { + this.pos += 1 + } + + this.start = this.pos +} + +lunr.QueryLexer.prototype.backup = function () { + this.pos -= 1 +} + +lunr.QueryLexer.prototype.acceptDigitRun = function () { + var char, charCode + + do { + char = this.next() + charCode = char.charCodeAt(0) + } while (charCode > 47 && charCode < 58) + + if (char != lunr.QueryLexer.EOS) { + this.backup() + } +} + +lunr.QueryLexer.prototype.more = function () { + return this.pos < this.length +} + +lunr.QueryLexer.EOS = 'EOS' +lunr.QueryLexer.FIELD = 'FIELD' +lunr.QueryLexer.TERM = 'TERM' +lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE' +lunr.QueryLexer.BOOST = 'BOOST' +lunr.QueryLexer.PRESENCE = 'PRESENCE' + +lunr.QueryLexer.lexField = function (lexer) { + lexer.backup() + lexer.emit(lunr.QueryLexer.FIELD) + lexer.ignore() + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexTerm = function (lexer) { + if (lexer.width() > 1) { + lexer.backup() + lexer.emit(lunr.QueryLexer.TERM) + } + + lexer.ignore() + + if (lexer.more()) { + return lunr.QueryLexer.lexText + } +} + +lunr.QueryLexer.lexEditDistance = function (lexer) { + lexer.ignore() + lexer.acceptDigitRun() + lexer.emit(lunr.QueryLexer.EDIT_DISTANCE) + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexBoost = function (lexer) { + lexer.ignore() + lexer.acceptDigitRun() + lexer.emit(lunr.QueryLexer.BOOST) + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexEOS = function (lexer) { + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } +} + +// This matches the separator used when tokenising fields +// within a document. These should match otherwise it is +// not possible to search for some tokens within a document. +// +// It is possible for the user to change the separator on the +// tokenizer so it _might_ clash with any other of the special +// characters already used within the search string, e.g. :. +// +// This means that it is possible to change the separator in +// such a way that makes some words unsearchable using a search +// string. +lunr.QueryLexer.termSeparator = lunr.tokenizer.separator + +lunr.QueryLexer.lexText = function (lexer) { + while (true) { + var char = lexer.next() + + if (char == lunr.QueryLexer.EOS) { + return lunr.QueryLexer.lexEOS + } + + // Escape character is '\' + if (char.charCodeAt(0) == 92) { + lexer.escapeCharacter() + continue + } + + if (char == ":") { + return lunr.QueryLexer.lexField + } + + if (char == "~") { + lexer.backup() + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } + return lunr.QueryLexer.lexEditDistance + } + + if (char == "^") { + lexer.backup() + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } + return lunr.QueryLexer.lexBoost + } + + // "+" indicates term presence is required + // checking for length to ensure that only + // leading "+" are considered + if (char == "+" && lexer.width() === 1) { + lexer.emit(lunr.QueryLexer.PRESENCE) + return lunr.QueryLexer.lexText + } + + // "-" indicates term presence is prohibited + // checking for length to ensure that only + // leading "-" are considered + if (char == "-" && lexer.width() === 1) { + lexer.emit(lunr.QueryLexer.PRESENCE) + return lunr.QueryLexer.lexText + } + + if (char.match(lunr.QueryLexer.termSeparator)) { + return lunr.QueryLexer.lexTerm + } + } +} + +lunr.QueryParser = function (str, query) { + this.lexer = new lunr.QueryLexer (str) + this.query = query + this.currentClause = {} + this.lexemeIdx = 0 +} + +lunr.QueryParser.prototype.parse = function () { + this.lexer.run() + this.lexemes = this.lexer.lexemes + + var state = lunr.QueryParser.parseClause + + while (state) { + state = state(this) + } + + return this.query +} + +lunr.QueryParser.prototype.peekLexeme = function () { + return this.lexemes[this.lexemeIdx] +} + +lunr.QueryParser.prototype.consumeLexeme = function () { + var lexeme = this.peekLexeme() + this.lexemeIdx += 1 + return lexeme +} + +lunr.QueryParser.prototype.nextClause = function () { + var completedClause = this.currentClause + this.query.clause(completedClause) + this.currentClause = {} +} + +lunr.QueryParser.parseClause = function (parser) { + var lexeme = parser.peekLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.type) { + case lunr.QueryLexer.PRESENCE: + return lunr.QueryParser.parsePresence + case lunr.QueryLexer.FIELD: + return lunr.QueryParser.parseField + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expected either a field or a term, found " + lexeme.type + + if (lexeme.str.length >= 1) { + errorMessage += " with value '" + lexeme.str + "'" + } + + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } +} + +lunr.QueryParser.parsePresence = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.str) { + case "-": + parser.currentClause.presence = lunr.Query.presence.PROHIBITED + break + case "+": + parser.currentClause.presence = lunr.Query.presence.REQUIRED + break + default: + var errorMessage = "unrecognised presence operator'" + lexeme.str + "'" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + var errorMessage = "expecting term or field, found nothing" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.FIELD: + return lunr.QueryParser.parseField + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseField = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + if (parser.query.allFields.indexOf(lexeme.str) == -1) { + var possibleFields = parser.query.allFields.map(function (f) { return "'" + f + "'" }).join(', '), + errorMessage = "unrecognised field '" + lexeme.str + "', possible fields: " + possibleFields + + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.fields = [lexeme.str] + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + var errorMessage = "expecting term, found nothing" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expecting term, found '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseTerm = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + parser.currentClause.term = lexeme.str.toLowerCase() + + if (lexeme.str.indexOf("*") != -1) { + parser.currentClause.usePipeline = false + } + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseEditDistance = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + var editDistance = parseInt(lexeme.str, 10) + + if (isNaN(editDistance)) { + var errorMessage = "edit distance must be numeric" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.editDistance = editDistance + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseBoost = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + var boost = parseInt(lexeme.str, 10) + + if (isNaN(boost)) { + var errorMessage = "boost must be numeric" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.boost = boost + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + + /** + * export the module via AMD, CommonJS or as a browser global + * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js + */ + ;(function (root, factory) { + if (typeof define === 'function' && define.amd) { + // AMD. Register as an anonymous module. + define(factory) + } else if (typeof exports === 'object') { + /** + * Node. Does not work with strict CommonJS, but + * only CommonJS-like environments that support module.exports, + * like Node. + */ + module.exports = factory() + } else { + // Browser globals (root is window) + root.lunr = factory() + } + }(this, function () { + /** + * Just return a value to define the module export. + * This example returns an object, but the module + * can return a function as the exported value. + */ + return lunr + })) +})(); diff --git a/search/main.js b/search/main.js new file mode 100644 index 000000000..a5e469d7c --- /dev/null +++ b/search/main.js @@ -0,0 +1,109 @@ +function getSearchTermFromLocation() { + var sPageURL = window.location.search.substring(1); + var sURLVariables = sPageURL.split('&'); + for (var i = 0; i < sURLVariables.length; i++) { + var sParameterName = sURLVariables[i].split('='); + if (sParameterName[0] == 'q') { + return decodeURIComponent(sParameterName[1].replace(/\+/g, '%20')); + } + } +} + +function joinUrl (base, path) { + if (path.substring(0, 1) === "/") { + // path starts with `/`. Thus it is absolute. + return path; + } + if (base.substring(base.length-1) === "/") { + // base ends with `/` + return base + path; + } + return base + "/" + path; +} + +function escapeHtml (value) { + return value.replace(/&/g, '&') + .replace(/"/g, '"') + .replace(//g, '>'); +} + +function formatResult (location, title, summary) { + return ''; +} + +function displayResults (results) { + var search_results = document.getElementById("mkdocs-search-results"); + while (search_results.firstChild) { + search_results.removeChild(search_results.firstChild); + } + if (results.length > 0){ + for (var i=0; i < results.length; i++){ + var result = results[i]; + var html = formatResult(result.location, result.title, result.summary); + search_results.insertAdjacentHTML('beforeend', html); + } + } else { + var noResultsText = search_results.getAttribute('data-no-results-text'); + if (!noResultsText) { + noResultsText = "No results found"; + } + search_results.insertAdjacentHTML('beforeend', '

' + noResultsText + '

'); + } +} + +function doSearch () { + var query = document.getElementById('mkdocs-search-query').value; + if (query.length > min_search_length) { + if (!window.Worker) { + displayResults(search(query)); + } else { + searchWorker.postMessage({query: query}); + } + } else { + // Clear results for short queries + displayResults([]); + } +} + +function initSearch () { + var search_input = document.getElementById('mkdocs-search-query'); + if (search_input) { + search_input.addEventListener("keyup", doSearch); + } + var term = getSearchTermFromLocation(); + if (term) { + search_input.value = term; + doSearch(); + } +} + +function onWorkerMessage (e) { + if (e.data.allowSearch) { + initSearch(); + } else if (e.data.results) { + var results = e.data.results; + displayResults(results); + } else if (e.data.config) { + min_search_length = e.data.config.min_search_length-1; + } +} + +if (!window.Worker) { + console.log('Web Worker API not supported'); + // load index in main thread + $.getScript(joinUrl(base_url, "search/worker.js")).done(function () { + console.log('Loaded worker'); + init(); + window.postMessage = function (msg) { + onWorkerMessage({data: msg}); + }; + }).fail(function (jqxhr, settings, exception) { + console.error('Could not load worker.js'); + }); +} else { + // Wrap search in a web worker + var searchWorker = new Worker(joinUrl(base_url, "search/worker.js")); + searchWorker.postMessage({init: true}); + searchWorker.onmessage = onWorkerMessage; +} diff --git a/search/search_index.json b/search/search_index.json new file mode 100644 index 000000000..552f5c76c --- /dev/null +++ b/search/search_index.json @@ -0,0 +1 @@ +{"config":{"indexing":"full","lang":["en"],"min_search_length":3,"prebuild_index":false,"separator":"[\\s\\-]+"},"docs":[{"location":"","text":"\u6d59\u6c5f\u5927\u5b66\u8bfe\u7a0b\u653b\u7565\u5171\u4eab\u8ba1\u5212 \u524d\u8a00 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Arrangement of Computation Tasks documents Project 3. Arrangement of Computation Tasks.pdf readme.txt test case test_case_simple.txt test_case_simple2.txt test_case_trick.txt big data 1-input.in 1-output.out 2-input.in 2-output.out 3-input.in 3-output.out 4-input.in 4-output.out code Arrangement of Computation Tasks.cpp Arrangement of Computation Tasks.exe readme.txt document project3 Flow chart.pdf project3 report V2020.doc project3 report V2020.pdf project3\u6d41\u7a0b\u56fe\u8349\u7a3f.vsdx ~$oject1 report V2020 - \u526f\u672c.doc ~WRL0001.tmp \u65f6\u95f4\u56fe.vsdx project2 excellent peer workpiece 3 peer The 2nd-shortest Path code Readme.txt TheSecondShortestPath.c sample.exe document The 2nd-shortest Path.pdf readme.txt t1.txt t2.txt t3.txt t4.txt t5.txt t6.txt t7.txt t8.txt normal\u522b\u4eba\u7684\u89e3\u6cd52 code RTCG.py Readme.txt input.txt main.c main.exe output.txt person.c person.h document DS-Project3-The World's Richest.pdf codes mycodes.c mycodes.exe \u672a\u547d\u540d1.cpp document algorithm.drawio algorithm.png cmos.docx project2 report V2020.doc project2 report V2020.pdf pta.txt ~$oject1 report V2020 - \u526f\u672c.doc ~WRL0001.tmp \u65b0\u5efa\u6587\u672c\u6587\u6863.txt bonus codes fy2020_ B2.cpp fy2020__B1.cpp main.cpp tree CompletBinarySearchTree.java Isomorphic tree.c Isomorphic tree.cpp JudgeRedBlackTree.java Zigzagtree.java redblacktree.drawio zigzag.cpp \u5251\u6307 Offer 26. \u6811\u7684\u5b50\u7ed3\u6784.cpp sort merge pass sort without recursion.cpp clionproject 1098 Insertion or Heap Sort.cpp Arrangement of Computation Tasks.cpp CMakeLists.txt FinalexamHeight of Binary Search Tree.c Polynomial.h main.cpp poly.cpp ptaNewyear1.cpp project1 project1.zip redblacktree.drawio redblacktree.png code readme.txt.txt redblacktree.#1 redblacktree.c redblacktree.exe document project1 report V2020 - \u526f\u672c.doc ~$oject1 report V2020 - \u526f\u672c.doc ~WRL0001.tmp bonus code Bonus-1 Merging Linked Lists.c Bonus-1 Merging Linked Lists.cpp Bonus-2 Social Clusters 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\u6210\u7ec4\u6570\u636e\u5e73\u5747\u6570\u6bd4\u8f83\uff08sigma\u90fd\u5df2\u77e5\u3001\u5c0f\u6837\u672csigma\u672a\u77e5\u3001sigma\u672a\u77e5\u4e14\u4e0d\u7b49\uff09 \u6210\u5bf9\u6570\u636e\u6bd4\u8f83\uff08\u4ee5\u53ca\u4e0e\u6210\u7ec4\u6570\u636e\u7684\u533a\u522b\uff09 \u5355\u6837\u672c\u6982\u7387\u4e0e\u7406\u8bba\u503c\u6bd4\u8f83 \u4e24\u4e2a\u6837\u672c\u9891\u7387\u6bd4\u8f83 \u53c2\u6570\u533a\u95f4\u4f30\u8ba1\uff08\u7f6e\u4fe1\u9650\uff0c\u8fd9\u6b21\u8003\u4e86\uff09\u4e0e\u5047\u8bbe\u68c0\u9a8c ANOVA\u57fa\u672c\u539f\u7406\uff08\u6253\u57fa\u7840\uff09\u3001\u7ec4\u95f4\u7ec4\u5185\u53d8\u5f02\u3001\u81ea\u7531\u5ea6\u5e73\u65b9\u548c\u5206\u89e3 F\u5206\u5e03\u548cF test\u68c0\u9a8c\u53d8\u5f02\uff08\u8fd9\u6b21\u8003\u4e86\uff09 chapter2.3_note_Fundamental of Mathematical Statistics3 \u8fd9\u4e2asection\u4e5f\u5f88\u91cd\u8981\uff0c\u4e3b\u8981\u5305\u62ec\u5361\u65b9\u6d4b\u9a8c\u3001\u4e00\u4e2a\u6837\u672c\u4e0e\u603b\u4f53\u65b9\u5dee\u6bd4\u8f83\u30013\u4e2a\u4ee5\u4e0a\u65b9\u5dee\u7684\u540c\u8d28\u6027\u68c0\u9a8c\u3001\u9002\u5408\u5ea6\u6d4b\u9a8c\uff1b \u8fd8\u6709\u5386\u5e74\u66fe\u7ecf\u8003\u8fc7\u7684\u72ec\u7acb\u6027\u6d4b\u9a8c\uff082x2\u72ec\u7acb\u6027\u6d4b\u9a8c\uff0c2xC\u72ec\u7acb\u6027\u6d4b\u9a8c\u7b49\uff09\uff1b \u53c2\u6570\u4f30\u8ba1\u65b9\u6cd5\uff08\u91cd\u70b9\u5173\u6ce8\u6700\u5c0f\u4e8c\u4e58\u6cd5\u548c\u6700\u5927\u4f3c\u7136\u6cd5\uff09 \u7b2c3\u7ae0 chapter3.1_note_Matrix Theory \u8d85\u7ea7\u57fa\u7840\u7684\u7ebf\u4ee3\u5185\u5bb9\uff0c\u5173\u6ce8\u77e9\u9635\u7684\u8f6c\u7f6e\u3001rank\u3001trace\u7b49\u57fa\u672c\u6982\u5ff5 \u8fd8\u6709\u5e7f\u4e49\u9006\u3001\u5c04\u5f71\u77e9\u9635\u3001\u968f\u673a\u77e9\u9635\u3001quadratic form\uff08\u4e3a\u540e\u9762\u6253\u57fa\u7840\uff09 chapter3.2_note_Principles of Simple Regression Analysis \u975e\u5e38\u91cd\u8981\u7684\u56de\u5f52\u5206\u6790\u4ee5\u53ca\u65b9\u5dee\u539f\u7406\u7684\u57fa\u7840\u90e8\u5206\uff0c\u91cd\u70b9\u662f\u7406\u89e3 \u5404\u4e2aparameter\u7684\u6982\u5ff5\u548c\u8ba1\u7b97\u65b9\u6cd5 \u662f\u6bcf\u6b21\u51e0\u4e4e\u5fc5\u8003\u7684chapter4\u7684\u57fa\u7840 * regression model\u7684\u8868\u8fbe\u5f0f\u6b63\u786e\u5199\u6cd5\uff0c\u53c2\u6570\u3001\u81ea\u53d8\u91cf\u3001\u968f\u673a\u53d8\u91cf\u533a\u5206 * Y\u7684\u671f\u671b\u65b9\u5dee\uff0cb0\u548cb1\u7684\u5206\u5e03\u53ca\u4f30\u8ba1 * \u7ecf\u8fc7\u539f\u70b9\u6216\u4e0d\u7ecf\u8fc7\u539f\u70b9\u7684 SCP/SSx/SSTO/SSR/SSE/R\u65b9/Radj\u65b9/rho/MSE \u8ba1\u7b97\u65b9\u6cd5\uff08\u8003\u4e86\uff09 * F-test\u68c0\u9a8c\u6a21\u578b\u7ebf\u6027\u3001t-test\u68c0\u9a8c\u5404\u4e2a\u53c2\u6570\u4ee5\u53ca\u533a\u95f4\u4f30\u8ba1 \uff08\u8003\u4e86\uff09 * Jackknife resampling\u65b9\u6cd5\u8981\u7559\u4e2a\u5370\u8c61\uff08MLM\u4e2d\u4f1a\u7528\u5230\uff09 \u7b2c4\u7ae0 chapter4_note_Methods of Multi-variable Regression Analysis \u8003\u8bd5\u70ed\u70b9\u3001\u91cd\u96be\u70b9\uff0c\u5e94\u8be5\u6bcf\u6b21\u90fd\u6709\u4e00\u4e2a\u5927\u9898=\u3002= \u5e76\u4e14\u662f\u540e\u9762\u5404\u79cd\u6a21\u578b\u5206\u6790\u601d\u8def\u7684\u57fa\u7840\uff08\u5305\u62ecMLM\uff09 \u591a\u5143\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u8868\u8fbe\u3001 \u77e9\u9635\u8868\u8fbe \u3001\u53c2\u6570\u81ea\u53d8\u91cf\u968f\u673a\u53d8\u91cf\u3001Y\u5206\u5e03\uff08\u8fd9\u6b21\u8003\u4e86\uff09 \u5e73\u65b9\u548c\u5206\u89e3\uff0c\u4e0d\u7528\u591a\u8bf4\u4e86\uff0c SSTO/SSR/SSE/MSR/MSE/E(MS) \uff08\u8fd9\u6b21\u8003\u4e86\uff09 \u65b9\u5dee\u5206\u6790\u8868 \uff0c\u81ea\u7531\u5ea6\u3001F-test\u68c0\u9a8c\u5168\u6a21\u578b\u7ebf\u6027\u5ea6\uff08\u8fd9\u6b21\u8003\u4e86\uff09 R\u65b9\u3001Radj\u65b9\u8ba1\u7b97\u65b9\u6cd5\u53ca\u5b9e\u9645\u610f\u4e49 bi\u7684\u663e\u8457\u6027\u68c0\u9a8c\uff0c\u5e7f\u4e49\u7ebf\u6027\u68c0\u9a8c\uff0cK\u3001b\u3001m\u77e9\u9635\u5f62\u5f0f\uff08\u8fd9\u6b21\u8003\u4e86\uff09 \u5404\u53c2\u6570\u7684\u533a\u95f4\u4f30\u8ba1\uff08\u8fd9\u6b21\u8003\u4e86\uff09 \u8fc7\u539f\u70b9\u6a21\u578b\u7684\u533a\u522b\u4e4b\u5904 \uff08\u6ce8\u610f\u81ea\u7531\u5ea6\u4ee5\u53caSS\u662f\u5426\u4f7f\u7528\u5747\u503c\u6821\u6b63\u4e86\uff09\uff08\u8fd9\u6b21\u8003\u4e86\uff09 SSR\u7684\u5206\u7ec4\u5206\u89e3 \uff0cF-test\u68c0\u9a8c\u53c2\u6570\uff0c\u90e8\u5206\u51b3\u5b9a\u7cfb\u6570\uff08\u8fd9\u6b21\u8003\u4e86\uff09 \u4e09\u79cd\u7b5b\u9009\u81ea\u53d8\u91cf\u7684\u65b9\u6cd5 \u7b2c5\u7ae0 chapter5_note_other multiple regression and non-linear regression \u662f\u7b80\u5355\u7ebf\u6027\u56de\u5f52\u7684\u5ef6\u4f38\uff0c\u540c\u65f6\u4e5f\u4e3a\u4e4b\u540e\u7684\u6790\u56e0\u8bbe\u8ba1\u7b49\u6253\u4e0b\u57fa\u7840\uff0c\u56e0\u4e3a\u4ea4\u4e92\u6548\u5e94\u5c31\u9700\u8981\u591a\u9879\u5f0f\u56de\u5f52\u6a21\u578b\u5206\u6790 \u8003\u8bd5\u76f4\u63a5\u51fa\u9898\u5e94\u8be5\u4e0d\u591a\uff0c\u4e3b\u8981\u638c\u63e1 dummy variable \u7684\u6982\u5ff5\uff08\u4e3a\u5565\u8981\u7528dummy variable\uff0c\u4f5c\u7528\u662f\u5565\uff0c\u8c03\u6574\u622a\u8ddd/\u659c\u7387\u7684\u7528\u6cd5\uff09\uff0c\u5206\u6bb5\u56de\u5f52\u6a21\u578b\u3001\u975e\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff08\u4e0e\u5185\u8574\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u76f8\u533a\u5206\uff1b\u4f7f\u7528SAS\u7684NLIN\u6a21\u5757\uff09 \u7b2c6\u7ae0 chapter6_note_The analysis of variance and randomized block design \u6211\u611f\u89c9chapter6/7/8/9\u9700\u8981\u7efc\u5408\u8d77\u6765\u7406\u89e3\uff0c\u8003\u8bd5\u4e5f\u662f\u5fc5\u8003\u7684 * \u5e73\u8861\u6570\u636e\u548c\u975e\u5e73\u8861\u6570\u636e\u533a\u522b\u3001 Type I SS\u4ee5\u53caType III SS \u533a\u522b\u53ca\u8054\u7cfb * Fixed Model\u548cRandom Model\u7684\u533a\u522b \uff0c\u7279\u522b\u662f\u65b9\u5dee\u5206\u6790\u8868\u4e0aEMS\u7684\u5dee\u5f02\u4ee5\u53ca\u68c0\u9a8c\u53c2\u6570\u65f6\u7684H0/HA * \u591a\u91cd\u6bd4\u8f83 alpha_pc\u548calpha_ew \u503c\u4e4b\u95f4\u7684\u5173\u7cfb\u4ee5\u53ca\u5b9e\u9645\u610f\u4e49 * \u591a\u91cd\u6bd4\u8f83\u7684\u65b9\u6cd5 LSD\u3001Tukey \u7b49\uff0c\u4ee5\u53ca\u5982\u4f55\u5206\u6790grouping\u7684\u7ed3\u679c * \u5b8c\u5168\u968f\u673a\u533a\u7ec4\u8bbe\u8ba1 \u601d\u8def\u3001\u4f18\u7f3a\u70b9\uff0c\u6a21\u578b\u3001\u65b9\u5dee\u5206\u6790\u8868 * Latin Squares Design \u7684\u601d\u8def\uff0c\u6709replication\u548c\u6ca1\u6709\u7684\u533a\u522b\uff0c\u6a21\u578b\u8868\u8fbe\u3001\u65b9\u5dee\u5206\u6790 \u5173\u952e\u662f\u7406\u89e3\u5230\u4f4d\uff0c\u8003\u8bd5\u4e0d\u4f1a\u8003\u5230\u4e00\u6a21\u4e00\u6837\u7684\u5b9e\u9a8c\u4f8b\u5b50\uff0c\u4f46\u662f\u6709\u4e9b\u4f1a\u957f\u5f97\u5f88\u50cf\uff0c\u56e0\u6b64\u628a\u63e1\u601d\u8def\u66f4\u91cd\u8981 \u7b2c7&8&9\u7ae0 \u8003\u8bd5\u5fc5\u8003\u70b9\uff0c\u4e0echapter6\u91cd\u590d\u7684\u70b9\u5c31\u4e0d\u518d\u5f3a\u8c03\u4e86 * \u7a81\u51fa\u4e92\u4f5c\u6548\u5e94\uff0c\u4e92\u4f5c\u6548\u5e94\u52a0\u5165\u540eSS\u3001EMS\u600e\u4e48\u6c42\uff0c\u4e92\u4f5c\u6548\u5e94\u662f\u5426\u663e\u8457\u600e\u4e48\u4e0b\u63a8\u65ad * \u5c06\u67d0\u4e2a\u6548\u5e94\u6b63\u4ea4\u5206\u89e3\u6210\u7ebf\u6027\u3001\u4e8c\u6b21\u6027\u3001\u4e09\u6b21\u6027\u7b49\u5173\u7cfb\uff0c\u5982\u4f55\u8bbe\u7f6edummy variable * \u4f55\u65f6\u4f7f\u7528nested design\u3001\u5f15\u5165\u534f\u53d8\u91cf * \u5728Fixed/Random/Mixed model\u6761\u4ef6\u4e0b\uff0c\u5404\u79cdSSA\u3001SSB\u3001SSAB\u600e\u4e48\u8ba1\u7b97\uff0c\u5404\u79cdEMS\u600e\u4e48\u8ba1\u7b97\uff0c\u7279\u522b\u662fF-test\u7684\u65f6\u5019\u7684\u5206\u6bcd\u4ee5\u53ca\u81ea\u7531\u5ea6 \u7b2c10\u7ae0 \u8003\u8bd5\u5fc5\u8003\u4e00\u9898\uff0c\u901a\u5e38\u6700\u540e\u4e00\u9898\uff08\u6211\u611f\u89c9 * MLM\u7684\u901a\u5f0f\uff0c\u7279\u522b\u662f\u5404\u4e2a \u6548\u5e94\u5411\u91cf\u4ee5\u53ca\u7cfb\u6570\u77e9\u9635 * \u5e38\u7528\u7684 \u968f\u673a\u6548\u5e94\u5206\u5e03\u5047\u8bbe \uff0c\u6a21\u578b\u4e2d\u9700\u8981\u5206\u6790\u7684\u53c2\u6570 * \u4f30\u8ba1\u968f\u673a\u6548\u5e94\u5206\u91cf\u7684\u65b9\u6cd5 \uff08Henderson III method\u3001ML method\u3001REML method\u3001MINQUE\uff09\uff0c\u638c\u63e1\u8868\u8fbe\u5f0f\u4ee5\u53ca\u5047\u8bbe * Henderson III method\u7684\u4f18\u7f3a\u70b9\uff0cML\u4e0eREML\u7684\u533a\u522b\uff0c REML\u4e0eMINQUE\u7684\u533a\u522b * 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chapter5_note_other multiple regression and non-linear regression.pdf chapter6_note_The analysis of variance and randomized block design.pdf chapter7_note_Factorial designs and analysis.pdf chapter8_note_Nested designs and analysis.pdf chapter9_note_The analysis of covariance.pdf","title":"\u751f\u7269\u7edf\u8ba1\u4e0e\u8bd5\u9a8c\u8bbe\u8ba1 16121032 22\u79cb\u51ac"},{"location":"%E7%94%9F%E7%89%A9%E7%BB%9F%E8%AE%A1%E4%B8%8E%E8%AF%95%E9%AA%8C%E8%AE%BE%E8%AE%A1-16121032-22%E7%A7%8B%E5%86%AC/#_1","text":"\u672c\u8bfe\u7a0b\u662f\u519c\u5b66\u96622022-2023\u5b66\u5e74\u79cb\u51ac\u5b66\u671f\u751f\u7269\u7edf\u8ba1\u4e0e\u8bd5\u9a8c\u8bbe\u8ba1\u8bfe\u7a0b\uff0c\u8bfe\u7a0b\u53f716121032\uff0c\u6559\u5e08\u662f\u5362\u8fd0\u6d77\u548c\u5f90\u6d77\u660e\uff0c\u8bfe\u7a0b\u8f83\u96be\uff0c\u8fd9\u91cc\u6574\u7406\u4e86\u6211\u4e4b\u524d\u7684\u624b\u5199\u7b14\u8bb0\uff0c\u4ec5\u4f9b\u53c2\u8003\u3002 \u5386\u5e74\u5377\u4e5f\u572898\u53d1\u5e03\u4e86\uff0c\u70b9\u51fb \u6b64\u5904 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2.c 3.c 4.c 5.c project3 Makefile.win main.c main.o work.exe work.layout work1.exe work1.layout work2.dev work2.exe work2.layout libgraphics exceptio.c exceptio.o genlib.c genlib.o graphics.c graphics.o random.c random.o simpio.c simpio.o strlib.c strlib.o include exception.h extgraph.h gcalloc.h genlib.h graphics.h random.h simpio.h strlib.h \u8bd5\u5377\u53ca\u7b54\u6848 15\u5e74\u7b54\u6848.pdf 15\u5e74\u8bd5\u5377.docx C\u4e13\u989813A\u53c2\u8003\u7b54\u6848.pdf C\u4e13\u989813A\u8bd5\u5377final-\u82f1\u6587.pdf C\u4e13\u989814A\u53c2\u8003\u7b54\u6848.pdf C\u4e13\u989814A\u8bd5\u5377final-\u82f1\u6587.pdf C\u4e13\u989815A\u53c2\u8003\u7b54\u6848.pdf C\u4e13\u989815A\u8bd5\u5377final-\u82f1\u6587.pdf C\u4e13\u989816A\u53c2\u8003\u7b54\u6848.pdf C\u4e13\u989816A\u8bd5\u5377final-\u82f1\u6587.pdf C\u4e13\u989817A\u53c2\u8003\u7b54\u6848.pdf C\u4e13\u989817A\u8bd5\u5377final-\u82f1\u6587.pdf C\u4e13\u989818A\u53c2\u8003\u7b54\u6848-\u82f1\u6587.pdf 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PattPatelCh19.ppt UC-Riverside CHAP10.PPT CHAP2.PPT CHAP3.PPT CHAP4.PPT CHAP5.PPT CHAP6.PPT CHAP7.PPT CHAP8.PPT CHAP9.PPT Chap1.ppt IntroPartII.PPT \u4f5c\u4e1a\u7b54\u6848 ch01_complete.pdf ch01_selected.pdf ch02_complete.pdf ch02_selected.pdf ch03_complete.pdf ch03_selected.pdf ch04_complete.pdf ch04_selected.pdf ch05_complete.pdf ch05_selected.pdf ch06_complete.pdf ch06_selected.pdf ch07_complete.pdf ch07_selected.pdf ch08_complete.pdf ch08_selected.pdf ch09_complete.pdf ch09_selected.pdf ch10_complete.pdf ch10_selected.pdf \u8bfe\u7a0b\u9644\u4ef6 \u9644\u5f55 PattPatelAppA.pdf PattPatelAppD.pdf PattPatelAppE.pdf pat67509_appb.pdf pat67509_appc.pdf C to LC-3 Compiler LC301.exe.zip lc3tools_v12.zip lcc.zip doc LC3_Win Simlulator Manual .pdf LC3_unix Simlulator Manual .pdf Source Code 5_17.txt fig11_3.txt chapter17 fig17.1.c fig17.13.c fig17.16.c fig17.18.c fig17.4.c chapter7 7.1.asm 7.2.asm chapter19 fig19.11.c fig19.2.c fig19.5.c fig19.6.c fig19.7.c fig19.9.c chapter8 8.5.asm 8.echo.asm 8.simple_input.asm 8.simple_output.asm chapter13 ch13.p353.c ch13.p354.c ch13.p356.c fig13.11.c fig13.12.c fig13.17.c fig13.21.c fig13.23.c fig13.24.c fig13.4.c fig13.5.c fig13.8.c chapter9 9.4.asm 9.5.asm 9.6.asm 9.8.asm 9.9.asm 9.ascii_to_int.asm 9.lowercase.asm chapter16 fig16.1.c fig16.10.c fig16.12.c fig16.13.c fig16.14.c fig16.15.c fig16.4.c fig16.6.c fig16.8.c fig16.9.c chapter18 fig18.1.c fig18.2.c chapter14 fig14.1.c fig14.10.c fig14.11.c fig14.2.c fig14.3.c chapter10 10.10.asm 10.12.asm 10.14.asm 10.15.asm 10.16.asm 10.19.asm 10.20.asm 10.22.asm 10.23.asm 10.24.asm 10.25.asm 10.26.asm 10.27.asm 10.5.asm 10.pop.asm 10.push.asm chapter12 ch12.p312.c fig12.1.c fig12.11.c fig12.12.c fig12.4.c fig12.8.c chapter6 6.4.bin 6.5.bin 6.7.bin 6.8.bin chapter15 ch15.p418.c fig15.1.c fig15.2.c fig15.3.c 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hw6.png","title":"\u9ad8\u7ea7\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u5206\u6790"},{"location":"%E9%AB%98%E7%BA%A7%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E4%B8%8E%E7%AE%97%E6%B3%95%E5%88%86%E6%9E%90/#_1","text":"\u9ad8\u7ea7\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u5206\u6790 slides ADS01AVL_Stu.ppt ADS02BTree_Stu.ppt ADS03InvFileInd_Stu.ppt ADS04LeftistSkewH_Stu.ppt ADS05BinomialQ_Stu.ppt ADS06Backtracking_Stu.ppt ADS07Divide Conquer_Stu.ppt ADS08DynamicProgramming_Stu.ppt ADS09Greedy_Stu.ppt ADS09Greedy_Tch.ppt ADS10NP_TS.ppt ADS11Approximation_Stu.ppt ADS12LocalSearch_TS.ppt ADS13RandomizedAlgorithms_Stu.ppt ADS14Parallel_Stu.ppt ADS15ExternalSorting_TS.ppt W10_Shortest_Paths.pdf W1_AVL.pdf W4_Leftist.pdf W5_Binomial_Heap.pdf W6_Backtracking.pdf W8_Divide&Conquer.pdf master_ revised_2.pptx optimalBST.pdf \u6559\u6750 Data Structures and Algorithm Analysis in C (Second Edition) Solution Manual.pdf Introduction_To_Algorithms.pdf \u8003\u8bd5 869EA89C8582B2C36B098DE456111418.jpg ADS.pdf ADS2022.pdf ads \u671f\u4e2d\u8003\u8bd5.md ads \u671f\u672b\u8003\u8bd5 2023 \u6625\u590f\u5b66\u671f ch \u73ed.html ads \u671f\u672b\u8003\u8bd5\u7ec3\u4e60\u9898 2.md ads \u671f\u672b\u8003\u8bd5\u7ec3\u4e60\u9898 3.md ads \u671f\u672b\u8003\u8bd5\u7ec3\u4e60\u9898.md \u5206\u6cbb\u6cd5.png Projects myc project.md \u8d44\u6599 15-16\u8bd5\u5377wth\u7b54\u6848.pdf ADS.pdf ads claims.md ads claims.pdf notebook.md \u5f20\u6d77 \u7b14\u8bb0.pdf \u6d59\u6c5f\u5927\u5b662015-16\u6625\u590f\u300a\u9ad8\u7ea7\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u5206\u6790\u300b\u671f\u4e2d\u6a21\u62df\u7ec3\u4e60 Apr 27, 2019.pdf \u6d59\u6c5f\u5927\u5b662017-18\u6625\u590f\u300a\u9ad8\u7ea7\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u5206\u6790\u300b\u671f\u4e2d\u6a21\u62df\u7ec3\u4e60 Apr 15, 2019.pdf \u6d59\u6c5f\u5927\u5b662018-19\u6625\u590f\u300a\u9ad8\u7ea7\u6570\u636e\u7ed3\u6784\u4e0e\u7b97\u6cd5\u5206\u6790\u300b\u671f\u4e2d\u6a21\u62df\u7ec3\u4e60-\u9648\u8d8a Apr 28, 2019-3.pdf \u9ad8\u7ea7\u6570\u636e\u7ed3\u6784\u671f\u672b\u590d\u4e60\uff082014-12\uff09.pdf \u4f5c\u4e1a Answer 4.pdf myc homework.md MYChomeworkAnswer HW1.png HW2.png HW3.png homework7.png hw4.png hw5.png hw6.png","title":"\u6587\u4ef6\u5217\u8868"}]} \ No newline at end of file diff --git a/search/worker.js b/search/worker.js new file mode 100644 index 000000000..8628dbce9 --- /dev/null +++ b/search/worker.js @@ -0,0 +1,133 @@ +var base_path = 'function' === typeof importScripts ? '.' : '/search/'; +var allowSearch = false; +var index; +var documents = {}; +var lang = ['en']; +var data; + +function getScript(script, callback) { + console.log('Loading script: ' + script); + $.getScript(base_path + script).done(function () { + callback(); + }).fail(function (jqxhr, settings, exception) { + console.log('Error: ' + exception); + }); +} + +function getScriptsInOrder(scripts, callback) { + if (scripts.length === 0) { + callback(); + return; + } + getScript(scripts[0], function() { + getScriptsInOrder(scripts.slice(1), callback); + }); +} + +function loadScripts(urls, callback) { + if( 'function' === typeof importScripts ) { + importScripts.apply(null, urls); + callback(); + } else { + getScriptsInOrder(urls, callback); + } +} + +function onJSONLoaded () { + data = JSON.parse(this.responseText); + var scriptsToLoad = ['lunr.js']; + if (data.config && data.config.lang && data.config.lang.length) { + lang = data.config.lang; + } + if (lang.length > 1 || lang[0] !== "en") { + scriptsToLoad.push('lunr.stemmer.support.js'); + if (lang.length > 1) { + scriptsToLoad.push('lunr.multi.js'); + } + if (lang.includes("ja") || lang.includes("jp")) { + scriptsToLoad.push('tinyseg.js'); + } + for (var i=0; i < lang.length; i++) { + if (lang[i] != 'en') { + scriptsToLoad.push(['lunr', lang[i], 'js'].join('.')); + } + } + } + loadScripts(scriptsToLoad, onScriptsLoaded); +} + +function onScriptsLoaded () { + console.log('All search scripts loaded, building Lunr index...'); + if (data.config && data.config.separator && data.config.separator.length) { + lunr.tokenizer.separator = new RegExp(data.config.separator); + } + + if (data.index) { + index = lunr.Index.load(data.index); + data.docs.forEach(function (doc) { + documents[doc.location] = doc; + }); + console.log('Lunr pre-built index loaded, search ready'); + } else { + index = lunr(function () { + if (lang.length === 1 && lang[0] !== "en" && lunr[lang[0]]) { + this.use(lunr[lang[0]]); + } else if (lang.length > 1) { + this.use(lunr.multiLanguage.apply(null, lang)); // spread operator not supported in all browsers: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Spread_operator#Browser_compatibility + } + this.field('title'); + this.field('text'); + this.ref('location'); + + for (var i=0; i < data.docs.length; i++) { + var doc = data.docs[i]; + this.add(doc); + documents[doc.location] = doc; + } + }); + console.log('Lunr index built, search ready'); + } + allowSearch = true; + postMessage({config: data.config}); + postMessage({allowSearch: allowSearch}); +} + +function init () { + var oReq = new XMLHttpRequest(); + oReq.addEventListener("load", onJSONLoaded); + var index_path = base_path + '/search_index.json'; + if( 'function' === typeof importScripts ){ + index_path = 'search_index.json'; + } + oReq.open("GET", index_path); + oReq.send(); +} + +function search (query) { + if (!allowSearch) { + console.error('Assets for search still loading'); + return; + } + + var resultDocuments = []; + var results = index.search(query); + for (var i=0; i < results.length; i++){ + var result = results[i]; + doc = documents[result.ref]; + doc.summary = doc.text.substring(0, 200); + resultDocuments.push(doc); + } + return resultDocuments; +} + +if( 'function' === typeof importScripts ) { + onmessage = function (e) { + if (e.data.init) { + init(); + } else if (e.data.query) { + postMessage({ results: search(e.data.query) }); + } else { + console.error("Worker - Unrecognized message: " + e); + } + }; +} diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 000000000..0f8724efd --- /dev/null +++ b/sitemap.xml @@ -0,0 +1,3 @@ + + + \ No newline at end of file diff --git a/sitemap.xml.gz b/sitemap.xml.gz new file mode 100644 index 000000000..87c8c1ad2 Binary files /dev/null and b/sitemap.xml.gz differ diff --git "a/\344\270\255\345\205\275\345\214\273\345\255\246/index.html" "b/\344\270\255\345\205\275\345\214\273\345\255\246/index.html" new file mode 100644 index 000000000..378032562 --- /dev/null +++ "b/\344\270\255\345\205\275\345\214\273\345\255\246/index.html" @@ -0,0 +1,759 @@ + + + + + + + + 中兽医学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\344\270\255\347\272\247\345\256\217\350\247\202\347\273\217\346\265\216\345\255\246/index.html" "b/\344\270\255\347\272\247\345\256\217\350\247\202\347\273\217\346\265\216\345\255\246/index.html" new file mode 100644 index 000000000..d2b705e51 --- /dev/null +++ "b/\344\270\255\347\272\247\345\256\217\350\247\202\347\273\217\346\265\216\345\255\246/index.html" @@ -0,0 +1,753 @@ + + + + + + + + 中级宏观经济学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

中级宏观经济学

+

考试会推公式就行，给分很好

+

文件列表

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+ + +
+ +
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+ +
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+ +

文件列表

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+ + + + + + + + + diff --git "a/\344\270\255\347\272\247\346\234\211\346\234\272\345\214\226\345\255\246/index.html" "b/\344\270\255\347\272\247\346\234\211\346\234\272\345\214\226\345\255\246/index.html" new file mode 100644 index 000000000..dcc051a1c --- /dev/null +++ "b/\344\270\255\347\272\247\346\234\211\346\234\272\345\214\226\345\255\246/index.html" @@ -0,0 +1,768 @@ + + + + + + + + 中级有机化学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

中级有机化学

+

一定要好好学基础有机 +一定要好好学基础有机 +一定要好好学基础有机

+

考试

+

基本上都是平时上课的ppt上的反应机理

+

福山实验室的大学入学考试机理熟练初级篇

+

福山有机机理

+

March高等有机化学-反应、机理与结构

+

赋分

+

期中考试算入平时成绩 共计40% 掌握基础有机即可 +期末考试 60%

+

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+ + +
+ +
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+ +
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文件列表

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+ + + + + + + + + diff --git "a/\344\272\272\345\267\245\346\231\272\350\203\275-CS/index.html" "b/\344\272\272\345\267\245\346\231\272\350\203\275-CS/index.html" new file mode 100644 index 000000000..64a401d0e --- /dev/null +++ "b/\344\272\272\345\267\245\346\231\272\350\203\275-CS/index.html" @@ -0,0 +1,782 @@ + + + + + + + + 人工智能 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

人工智能

+

本目录下的人工智能是计算机学院开设的课程，请注意，另一个人工智能为信电系的课程。

+

关于大程

+

人工智能课是一个偏向大程的课程，吴飞老师18-19年的大程分别为

+
    +
  1. 黑白棋AI（老传统，持续了多年）
    2. +
  2. 图像恢复
    3. +
  3. 深度学习，本学年额外提供了华为Atlas 200的AI芯片，但是使用者很少（太难用了）。
    4. +
+

大程每个15分，共占45分。第一个和第三个都可以组1-2人队伍，对成绩没有影响，推荐组队。

+

关于理论

+

平心而论，理论课讲的有些枯燥，内容多且杂，不知重点在哪，所以听课人数很少。

+

slides质量也不敢恭维，很多内容都是书本/论文的照片，难以看清且无法搜索。

+

关于考试

+

期末考试是比较有难度的，会考到相当一部分的概率论与数理统计的知识，这在课程上强调很少。

+

期末考试的计算题都是slides上原生例子，基本不加改动，所以对于老师给出的重点还是需要尽量把握。

+

吴飞老师和助教很好，班级分数整体很不错，老师和助教会尽力调分。

+

重点：以上课程经验仅针对吴飞老师的课程而言

+

重点：以上课程经验仅针对吴飞老师的课程而言

+

重点：以上课程经验仅针对吴飞老师的课程而言

+

文件列表

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+ + +
+ +
+
+ +
+
+
+
+ +

下面有一些isee 学长学姐的代码:

+

ZJU_ISEE_Project

+

https://github.com/RikoLi/isee-ai-prj2

+

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+ + +
+ +
+
+ +
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+
+
+ +

仪器分析

+

短学期课程 期末考试基本在提纲上 背熟即可

+

文件列表

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+ + +
+ +
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+ + +
+ +
+
+ +
+
+
+
+ +

教材

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书>信息科学

+

笔记

+

信号与系统总结 https://zhuanlan.zhihu.com/p/676552295

+

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+ + +
+ +
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文件列表

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+ + +
+ +
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+ +
+
+
+
+ +

信息安全原理

+

上的是HTL的信息安全原理，当时的要求是每个人一共回答10次+作业*4+期末考试。

+

发言：

+

HTL比较好的是每节课前都会有10-20min提问题，主要是针对上节课的内容。
+所以每次上课前准备一下+坐前面一点即可，感觉因为有专门的发言时间10次并不是非常难达到。
+BTW 我们当时上课回答问题很有趣，经常笑爆。

+

作业：

+

我们当时一共是4次作业。
+HW1. Password Cracking
+HW2. Large number arithmetic
+HW3. Public Key & Privaate Key
+HW4. Using Wireshark
+可以参考之前我做的: https://github.com/laylalaisy/ZJU_2_2_Information-Security
+不过不要直接copy+可能有bug存在

+

考试：

+

考试还是很简单的，只要把课件的内容理解+有部分记一下即可，基本当时考试不难

+

欢迎其他上过课的同学补充~~ +BTW HTL很可爱hhhh

+

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+ + +
+ +
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+ +
+
+
+
+ +

关于信息系统安全

+

上过顾宗华老师的课，没有点名

+

八次实验占50分（基本只要交了就能给满），推荐组队，最多四人一组，组满的话其实相当于每个人只用做两个实验，工作量会小很多（如果一个人的话每周一个实验还是挺累的…）

+

期末考试占50分，50道选择，内容跟实验无关，全部来自PPT（参考打印材料），考前稍微过一下熟悉各个知识点位置，考试时能够快速定位到内容，对上40+没什么问题

+

总得来说挺轻松，最终大家得分也都不错，推荐选。

+

课程网站：gulaoshi.github.io，可以了解一下

+

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+ + +
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文件列表

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文件列表

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文件列表

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文件列表

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文件列表

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文件列表

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军事理论

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  • JiangMingjian大校的课，是一门水课 跳跳鱼大一的时候就选了 上课没什么意思 给分不错
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关于考试

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  • 开卷 考点会在最后一节课划重点
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      +
    • 考试前看一下LvQiang老师的PPT或者考场自学都能获得较好的成绩
      • +
    • 期中有一篇论文 至少这两年都是"我眼中的大学生入伍" 字数没有什么很大的要求
      • +
    +
    +
    • +
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关于点名

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  • 每节课基本点几个人回答问题，不会刻意点名
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+

@TTFish

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回忆卷放在https://github.com/ykiZheng/ChuangYeQiCheng 的reamdme里了

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指认ppt其实很老了，有在考虑是不是有必要这种上传课件，但是毕竟是考试内容，过段时间会整理成文档的。

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区块链与数字货币

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这门课一共有三个作业和一次考试，其中三个作业如下：

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    +
  1. 使用任意编程语言实现 sha256 编码并模拟寻找 Nonce 挖矿的过程。
    2. +
  2. 根据 demo 实现一个以 solid 为后端 react 为前端（这个不强求）的社团管理程序。
    3. +
  3. 分析 fabric 的各个概念的源码及其之间的关系，主要就是参考这个仓库
    4. +
+

考试允许带一张 A4 纸，具体题目数量忘记了，但是全部都是简答题。

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哲学方法

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平时上课4次 期末考试 内容是基础的离散数学 英文内容

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期末考试样卷

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+ + +
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固定收益证券模型复习

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神仙课 太难了 不想多说

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README

+

事少，期中布置论文题目，期末考试前上交论文即可。考前会上传Summary PPT，方便翻课件找考点复习。

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~~考试单选题选错要扣分~~

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By palemoons

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教材

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https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书 > 物理及力学 > 力学

+

笔记

+

https://zhuanlan.zhihu.com/p/696259136

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  • 大计基A-朵朵评论记录（供学习使用）
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  • + Edit on GitHub +
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+ +

大计基A-朵朵评论记录（供学习使用）

+

前言

+

大家好，我是 @绫波丽 ，也就是[马上大计基考试了，开个答疑帖...]的楼主。首先非常感谢大家的提问和回答，截止发稿，共有 870条评论，206个赞，8.7k人品赞赏 ，再次感谢大家的支持。这个帖子本身也是lz因为要复习大计基但是基本上处于补天的状态才发出的，没想到反馈巨大，当然，我也很开心能帮到大家（如果帮到的话）。

+

内容

+

我是3号考完的大计基a，当时这个帖子仍在不断的有人提问，因此我萌生了总结其精华，即创建一个文件把帖子精华内容延续下去，所以我把绝大部分有价值，切合考试题目的提问抽取出来，有些过于简单或者百度能查到的我就省略掉了，提问者的昵称被隐去，主要回答者的朵朵id将被放到具体答案后方，其他没有id的答案为 （简单答案如单纯填空题字母等） 或者 （我自己回答的） ，在此感谢所有的回答者。 + 除了帖子内部问题外 ，我还加入了来自 求是潮的大计基知识点梳理和试卷等内容，还有其他用户总结的大计基知识点 。希望大家能够从中获益。 + ## 免责部分 + 由编写者编写部分的许可如下： +CC-BY-NC-SA：署名-非商业性使用-相同方式共享 +其他部分的版权归属于其各自的作者。 +本资料仅供学习参考，不得作为商业目的。 +内容如有侵权，请联系我以删除。 +内容如果有误，欢迎联系修改。

+

下载部分

+

您可以选择直接在github上下载，也可以使用百度云网盘进行下载。 + 链接：https://pan.baidu.com/s/1q4K_vW4jNgGlqByo3wIdlw + 提取码：xayf

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ZJU_ISEE_Project

+

文件列表

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嵌入式系统 CS

+

本目录下的嵌入式是计算机学院开设的专业模块选修课程，属于计算机系统模块。

+

选课

+

课程在2018-2019学年春夏学期开课老师有两位：翁恺和王总辉老师。

+

两位老师自身研究方向都涉及嵌入式，授课内容都有保障。但是由于嵌入式所处的选修模块很少有同学选，另外这门课也是一门硬件课，CS的同学经过逻辑、组成和体系后选修兴趣不高，两位老师历年选课人数都不多，所以都很好选中。

+

授课

+

因为在短学期I中作者选了翁恺老师的Arduino设计课程，嵌入式继续选择了翁恺。

+

理论课

+

该学期理论课需要用App打卡签到，但是签到时间比较宽松。

+

翁恺的课还是比较有趣味性和干货的，一个比较大的缺点是在于重点不清晰，不过大学很多课都有这样的特点。

+

理论课的最后一节，老师会给出复习纲要，一定程度上删减掉了小部分的内容，但是大部分还是都在考纲内的。

+

比较重要的是，理论课内有很大概率讲到当周的小作业，最好理解好或者记录下来。

+

实验课

+

每一堂实验课都需要参加，虽然是在曹楼的普通机房。

+

实验课的主要过程是：个人实验展示；本周实验说明；领取器材；实验；签退

+

签退时需要向助教口述实验进度，然后签退离开实验室，可以早退。所以必须参与的部分是展示以及领取器材。

+

实验课提供五种以上的实验平台，王班的则是从头至尾保持一种平台不变。前者可以体验不同的单片机，后者不需要迁移平台后的学习成本，大家自行选择。

+

另外，翁班的实验要比王班多一些，但是过渡相对平滑，接受程度很好。总体实验难度不大，仅有1-2个实验需要消耗较多时间，其余实验可以很顺利地完成，实验个数也会根据当年班级的完成顺利情况增删。

+

成绩

+

成绩构成主要是：到课；考试；问答小作业；实验及实验报告；课程展示。

+

问答小作业

+

每一堂理论课会布置一个问答小作业，大多数在课上会有提及或者解释。

+

课程展示

+

课程展示内容就是某一周的实验，讲述实验过程即可，每个人都需要进行。

+

考试

+

本课程考试比较特殊，两位老师在授课内容和覆盖面上应该没有商讨，Slide差异很大。最后在复习纲要上差别也很大，导致考试前有很大的不确定心理。

+

实际考试中，确实出现了很多本班未~~详细~~讲述的课程内容，考场上很难受，但是也可以凭借前3年的其他课程稍加作答。考试中有很多的手写代码题目，要有准备，且体量很大。

+

最后，尽管课程考试体验糟心，但是翁班给分很好。

+

文件列表

+ + +
+
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+ +
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+ +

教材

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书/计算机/嵌入式计算技术

+

复习整理

+

嵌入式计算技术复习 https://zhuanlan.zhihu.com/p/668919802

+

文件列表

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文件列表

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教材及答案

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书/工科教材

+

笔记

+

工程热力学总结 https://zhuanlan.zhihu.com/p/638534525

+

文件列表

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  • 工程热力学
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工程训练

+
    +
  • 你永远不知道上课的老师的姓名的课 上工还是比较的简单 反正考试和上课没什么问题
    • +
+

关于期中作业

+
    +
  • 每一年的作业都是一样的 在某个悠闲的周末 你被告知需要完成根本看不懂的期中报告（* 不许抄袭.jpg）
    • +
  • 上传了期中作业 可以提前做 百度文库也可以搜到一些题目
    • +
  • 上传了part1 只做了四道题 欢迎补充part2、3 最后完成11道完整的题目
    • +
+

关于作业

+
    +
  • 平时会收作业 但是根据老师来定
    • +
  • 3D打印可以自己提前准备好文件 过去打出来就好啦
    • +
  • 铸造的老师会背诵考试重点 记笔记.png
    • +
  • 车床老师很凶 请注意安全
    • +
+

@TTFish

+

文件列表

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常微分的选课时间不同，模式也不同的。（和文科生们组队数学课多美好啊w）

+
    +
  • 春学期：套公式解方程，轻松 4.5+。
    • +
  • 其他：恭喜开启 Hard 模式。
    • +
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文件列表

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文件列表

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+ + +
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+ +
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+ +

选课之前高呼三遍：

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    +
  • JJM赛高！
    • +
  • JJM赛高！
    • +
  • JJM赛高！
    • +
+

一定要去听 JJM 的复习课！

+

关于考试（基于2016-17秋冬操作系统考试）

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    +
  • 2016是操作系统理论和实验合并的第一年，本repo内独立的理论部分A4内容是不够的，没有考第一章概念（如操作系统提供的服务等），这部分可以用实验内容替换。
    • +
  • 考试题型为70道选择题（70分）+3道大题（30分），选择题中混入了相当比例的实验内容（至少20+），需要自己总结
    • +
  • 题量大，以至于考试延迟15min
    • +
  • 大题都是计算题，不考原理论述和设计
    • +
  • 2016考试的情况：很多题是伍赛的复习题（虽然他自己也没讲过，所以也没答案）；当然，是伍赛出卷。所以可能考前更重要的是打听当年的出卷老师和他们的ppt:)
    • +
  • 季江民班的平时作业提供大量选择题，其题目部分来自于往年卷，又因为每年的出题老师都会参照往年卷，故考试中出现一些季江民班布置的选择题，在考前，其他班的学生可以刷下一季江民班的平时作业
    • +
  • JJM 老师的平时作业里面基本上没有 OS 的部分，导致有些同学认为考试中实验部分很少，因此吃了大亏，所以提醒以后的同学可能作业里面没有实验的部分，但是实验的书还是要看的。而且个人感觉概念的内容理解了基本上就记住了，并不需要在A4纸上写上太多的东西，还是多留些地方给实验部分的好。
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Digital-image-process

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ISEE

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ldx 老师班级比较水，每次实验是自己从给定题目里面选一个。

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文件列表

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数字逻辑设计

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笔记：数字逻辑设计 | Digital Design

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文件列表

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谈之奕老师数学建模课件

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笔记

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数理方法中的特殊函数 https://zhuanlan.zhihu.com/p/626661086

+

球坐标系和柱坐标系下的分离变数法 https://zhuanlan.zhihu.com/p/626812353

+

积分变换法 https://zhuanlan.zhihu.com/p/627068881

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格林函数法 https://zhuanlan.zhihu.com/p/626997324

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数理方法考前必背 https://zhuanlan.zhihu.com/p/627085807

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这门课是浙大cs不可多得的好课之一，尽管确实有点难。

+

课程会全方面的推导所有主流的统计机器学习模型，讲解神经网络的推导以及矩阵分解等知识，需要很多概统和矩阵知识（没学过也不用慌，我没学过概统，线代大一也没好好学，最后成绩也还不错）。

+

作业可以用python或者matlab做，很有难度，需要从底层实现各种机器学习算法模型，不熟悉numpy的同学可能会比较惨，不过还好github上有较多学姐学长的资料，例如：

+

https://github.com/yangli655/ML_dc （还有很多其他的或者matlab版本的就不贴了）

+

尽管我因为有一次实在来不及，抄了点代码交了上去…...但还是希望学弟学妹们仅仅用来参考，通过自己的思考写好每一行代码不仅对期末考有比较大的帮助，也会让你对这些算法有更深刻的认识。每年期末考都会考作业题，今年是考了问你PCA旋转图片是feature extraction还是feature selection。

+

整体给分还不错，但是想要取得高分（>=4.8）是非常非常难的。期末可以带一张A4，但用处不会特别大。考的会非常细，只有真的理解了才会做，例如问你K-means或者K-medoids算法最后会不会收敛，squeare loss和hinge loss谁更robust等等。最难的就是多选题，其中的每个选项都是这么一个细致的问题，如果漏选或多选算全错，一分都拿不到。

+

不过考试中也会有送分题，比如貌似每年都会考到的决策树和贝叶斯决策大题（送你30分怕你挂科），记好公式即可。今年的最后一大题是logistic loss的EM算法手动推导，因为EM算法实在有点费脑子，复习的时候就没复习，哭了…...

+

今年没有考topic model和矩阵分解，白抄了那么多A4…….

+

总而言之，这是门能让你彻底弄懂这些统计机器学习模型的一门极为硬核的好课。想水的不推荐选这门课，作业好好做（萌新选手每周约需要10hours以上），弄懂所有算法，拿到4.2+并不困难。最后为助教胡津铭小哥哥疯狂打call，极为耐心和负责的TA，一学期QQ上帮我解答了几十个问题。

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文件列表

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文件列表

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  • 数据结构与数据库技术 +
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文件列表

+ + +
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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\346\225\260\346\215\256\351\200\232\344\277\241\344\270\216\350\256\241\347\256\227\346\234\272\347\275\221\347\273\234Data Connectino and Computer Network/index.html" "b/\346\225\260\346\215\256\351\200\232\344\277\241\344\270\216\350\256\241\347\256\227\346\234\272\347\275\221\347\273\234Data Connectino and Computer Network/index.html" new file mode 100644 index 000000000..c8b7d6a9e --- /dev/null +++ "b/\346\225\260\346\215\256\351\200\232\344\277\241\344\270\216\350\256\241\347\256\227\346\234\272\347\275\221\347\273\234Data Connectino and Computer Network/index.html" @@ -0,0 +1,778 @@ + + + + + + + + Data-Connectino-and-Computer-Network - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
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+ +
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+
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+ +

Data-Connectino-and-Computer-Network

+

数据通信和计算机网络课程

+

光电学院

+

不过很多工信同学作为个性.

+

欧翌昕笔记：https://github.com/OE-Heart/Notes-for-Computer-Network

+

考试名词解释, 判断, 选择, 填空

+

考试要带铅笔橡皮尺子, 画拥塞窗口.

+

但是考试不能用铅笔.教务处为了防止老师改铅笔试卷改分数.

+

老师中午不吃饭了, 为了下午上课不打瞌睡

+

2021年春学期, 考试也不考 解密了 , 调皮,

+

缩写 adsl 我不会, 累了, wdm 波分多址我也不会, 累了,

+

考试问, 最基本的二元调制, 调频 调幅 调相

+

2021年4月

+

最后网上提交报告, 一个组一个分数,

+

包括 :

+

网络拓扑结构(星, 环形, 总线型)

+

遇到的问题, 结论是啥,截图给老师 .

+

最后一节课ppt展示, 评分一定高于85,分享一组.

+

前4节课要交, 567讲 作业不要交会考.

+

第一组作业5分钟就可以了.

+

三组作业, 每一组10分. 30分 基本上都在25分以上

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文件列表

+ + +
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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\346\227\240\347\272\277\344\270\216\347\211\251\350\201\224\347\275\221\345\256\211\345\205\250\345\237\272\347\241\200/index.html" "b/\346\227\240\347\272\277\344\270\216\347\211\251\350\201\224\347\275\221\345\256\211\345\205\250\345\237\272\347\241\200/index.html" new file mode 100644 index 000000000..a44a85161 --- /dev/null +++ "b/\346\227\240\347\272\277\344\270\216\347\211\251\350\201\224\347\275\221\345\256\211\345\205\250\345\237\272\347\241\200/index.html" @@ -0,0 +1,794 @@ + + + + + + + + 无线与物联网安全基础 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
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+ +
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+ +

无线与物联网安全基础

+

本目录下的嵌入式是计算机学院开设的专业模块选修课程，属于信息安全模块。

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选课

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课程在2018-2019学年秋学期开课老师有一位：任奎老师。

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课程很小众，选中概率很大

+

授课

+

只有理论课要上，理论课的内容十分前沿，授课方式很像研究生的课程，授课十分硬核。

+

Slide为全英文，且介绍的内容很多都是最新的前沿研究结果。另外，作为一门一周一次课的秋学期课程，课程居然有24个slide（共8周），且内容充实，导致授课速度极快。

+

课程涉及到了密码学、信息安全基础、通信基础、网络基础、物联网基础以及漏洞攻防基础等很多方面。最好有一定的信息安全基础再上这门课，否则全英文迅速掌握这些内容还是很难接受的。

+

成绩

+

成绩构成主要是：大程；实验及实验报告；考试。考试占比50%。

+

客观来说，作为一个2学分的课程，其成绩分配与课程难度不太合理，下文说明。

+

实验及实验报告

+

8周共有8个实验，每个实验都有较为详细的说明pdf指引，总体难度不高。

+

大部分实验都是按照说明可以顺利完成的，但是实验报告需要英文完成。

+

8个实验一共30分。

+

大程

+

大程难度很高，作者选课学年的大程是完成最新的一篇顶会论文中发现的WiFi漏洞的攻击过程。

+

难度很高，涉及到密码学、网络编程、漏洞攻防等内容，代码和实验报告都有分数占比。

+

大程共占20分，但是耗时很多，且时间很紧。

+

考试

+

本课程考试极难，作者基础良好，造成考试难度过高的最主要原因是：8周需要学习24个全英slide，且review时没有任何删减，review就是把每个slide的大纲列出，毫无意义，复习、大程、大程报告、实验、实验报告会在期末完全重叠。

+

考试全部为简答题，大约12道，很多都是slide中的原图考试，但是复习范围太广，信息安全又存在着大量的背诵内容，复习难度太高。

+

总结

+

最后给出的结论是，作为一门2学分的课程，本门课在CS和IA两个专业都是选修，如果只考虑学分和绩点，不推荐选择，耗时耗力极大；但是如果喜欢前沿知识和硬核课程，十分推荐，老师和助教都十分专业、负责。

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另外，课程难度高导致如果可以杰出完成大程、考试，给分会很突出。

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文件列表

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+ + + + + + + + + diff --git "a/\346\227\240\347\272\277\347\275\221\347\273\234\345\272\224\347\224\250/index.html" "b/\346\227\240\347\272\277\347\275\221\347\273\234\345\272\224\347\224\250/index.html" new file mode 100644 index 000000000..42d19d8d8 --- /dev/null +++ "b/\346\227\240\347\272\277\347\275\221\347\273\234\345\272\224\347\224\250/index.html" @@ -0,0 +1,790 @@ + + + + + + + + 无线网络应用 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
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+
+ +

无线网络应用

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本目录下的无线网络应用是信电学院开设的通识课程，学分为1.5分

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关于实验

+

每节课都会有实验内容，也是期末总评的重要部分，实验内容对于熟悉计算机操作的同学来说并不复杂，也无需计算机相关专业背景才能完成。

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每节课的实验PPT都十分详细，包括了每一步的步骤说明和截图，按着步骤进行基本都可以完成实验。

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推荐选课时和熟悉的同学一起选课。

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update：可能是更新了实验，现在只需第六周实验完成实验报告，建议ppt上每一步都截图，不然之后再做一遍挺烦的。

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注意在平时实验过程中，可以额外打开一个空白word文件，截图后直接按照操作顺序粘贴到word文件中，以备期末作业使用。

+

关于理论考试

+

update: 可以在网上找到最新答案

+

理论考试包括平时在线测验和最终的期末考试两部分。

+

两部分均有英文原题及答案，但是我们做的版本都是中文的。

+

目录内有测验及期末考试的答案文件。

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此处介绍查找答案的快速方法：寻找中文题目中的英文专有词汇，熟悉常用概念的中英文（帧 frame，段 fragment等），在答案文件中Ctrl+F调用查找功能输入英文快速缩小查找题目的范围。

+

关于期末作业

+

推荐选择实验报告，而非课程设计。

+

在平时准备好截图的情况下，前者只需要将自己的截图和实验PPT中的步骤综合到一个实验报告中即可完成作业。

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后者需要较为仔细或创新的设计，需要耗费的时间和精力偏多，且报告书写慢。

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以我所在约定一起选课的小组的成绩来看，6人中1人选择课程设计，得分100，其余5人均选择实验报告，4人得分99或100，1人得分95。

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文件列表

+ + +
+
+ +
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+ +
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+ +
+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\346\227\245\350\257\255\342\205\241/index.html" "b/\346\227\245\350\257\255\342\205\241/index.html" new file mode 100644 index 000000000..118cd38e4 --- /dev/null +++ "b/\346\227\245\350\257\255\342\205\241/index.html" @@ -0,0 +1,751 @@ + + + + + + + + 日语Ⅱ - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
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文件列表

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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\346\231\256\351\200\232\345\214\226\345\255\246\357\274\210H\357\274\211/index.html" "b/\346\231\256\351\200\232\345\214\226\345\255\246\357\274\210H\357\274\211/index.html" new file mode 100644 index 000000000..11ce752f6 --- /dev/null +++ "b/\346\231\256\351\200\232\345\214\226\345\255\246\357\274\210H\357\274\211/index.html" @@ -0,0 +1,759 @@ + + + + + + + + 普通化学（H） - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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+ +
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文件列表

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+ + + + + + + + + diff --git "a/\346\231\256\351\200\232\347\211\251\347\220\206\345\255\246\342\205\240\357\274\210H\357\274\211/index.html" "b/\346\231\256\351\200\232\347\211\251\347\220\206\345\255\246\342\205\240\357\274\210H\357\274\211/index.html" new file mode 100644 index 000000000..347942d1e --- /dev/null +++ "b/\346\231\256\351\200\232\347\211\251\347\220\206\345\255\246\342\205\240\357\274\210H\357\274\211/index.html" @@ -0,0 +1,754 @@ + + + + + + + + 普通物理学Ⅰ（H） - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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文件列表

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+ + + + + + + + + diff --git "a/\346\231\256\351\200\232\347\211\251\347\220\206\345\255\246\342\205\241\357\274\210H\357\274\211/index.html" "b/\346\231\256\351\200\232\347\211\251\347\220\206\345\255\246\342\205\241\357\274\210H\357\274\211/index.html" new file mode 100644 index 000000000..3001efc57 --- /dev/null +++ "b/\346\231\256\351\200\232\347\211\251\347\220\206\345\255\246\342\205\241\357\274\210H\357\274\211/index.html" @@ -0,0 +1,749 @@ + + + + + + + + 普通物理学Ⅱ（H） - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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文件列表

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+ + + + + + + + + diff --git "a/\346\234\272\345\231\250\344\272\272\345\255\246/index.html" "b/\346\234\272\345\231\250\344\272\272\345\255\246/index.html" new file mode 100644 index 000000000..bfbb611da --- /dev/null +++ "b/\346\234\272\345\231\250\344\272\272\345\255\246/index.html" @@ -0,0 +1,746 @@ + + + + + + + + 机器人学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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文件列表

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  • 机器人学
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    • 实验
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+ + + + + + + + + diff --git "a/\346\234\272\345\231\250\344\272\272\345\273\272\346\250\241\344\270\216\346\216\247\345\210\266/index.html" "b/\346\234\272\345\231\250\344\272\272\345\273\272\346\250\241\344\270\216\346\216\247\345\210\266/index.html" new file mode 100644 index 000000000..70f6577f4 --- /dev/null +++ "b/\346\234\272\345\231\250\344\272\272\345\273\272\346\250\241\344\270\216\346\216\247\345\210\266/index.html" @@ -0,0 +1,752 @@ + + + + + + + + 机器人建模与控制 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
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+ +
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+
+
+ +

教材

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书 > 机器人

+

笔记

+

https://zhuanlan.zhihu.com/p/693756708

+

文件列表

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+ + + + + + + + + diff --git "a/\346\234\272\346\242\260\350\256\276\350\256\241\345\237\272\347\241\200/index.html" "b/\346\234\272\346\242\260\350\256\276\350\256\241\345\237\272\347\241\200/index.html" new file mode 100644 index 000000000..d56b6138f --- /dev/null +++ "b/\346\234\272\346\242\260\350\256\276\350\256\241\345\237\272\347\241\200/index.html" @@ -0,0 +1,748 @@ + + + + + + + + 机械设计基础 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
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+ +
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+ +

笔记

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机械设计基础 考前补天 https://zhuanlan.zhihu.com/p/640236746

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文件列表

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+ + +
+ +
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笔记

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材料力学重点整理 https://zhuanlan.zhihu.com/p/639193273

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文件列表

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+ + +
+ +
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+ +
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+ +

核电站

+

能源学院的通识课，没有什么难度，老师不点名，偶尔会有小测(无难度)

+

期末需要调研一个核电站，然后小组写个2000字报告，10min展示

+

期末考题

+

见复习题

+

考点

+

考前最好买一本教材，只看ppt的话容易提早交卷(逃)

+

@TTfish

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文件列表

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求生1401小站上的资料：https://qs1401.com/?post=55

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文件列表

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  1. +

    浙江大学计算机科学与技术、软件工程专业本科毕业设计开题报告 LaTeX 模板：DreaminginCodeZH/zju-csse-undergraduate-design-proposal-latex-template

    +
    2. +
  2. +

    浙江大学毕业设计/论文的开题报告与最终报告 LaTeX 模板：

    + +
    3. +
+

文件列表

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  • 毕业设计
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+ + + + + + + + + diff --git "a/\346\257\233\346\263\275\344\270\234\346\200\235\346\203\263\345\222\214\344\270\255\345\233\275\347\211\271\350\211\262\347\244\276\344\274\232\344\270\273\344\271\211\347\220\206\350\256\272\344\275\223\347\263\273\346\246\202\350\256\272/index.html" "b/\346\257\233\346\263\275\344\270\234\346\200\235\346\203\263\345\222\214\344\270\255\345\233\275\347\211\271\350\211\262\347\244\276\344\274\232\344\270\273\344\271\211\347\220\206\350\256\272\344\275\223\347\263\273\346\246\202\350\256\272/index.html" new file mode 100644 index 000000000..7cce7ad4f --- /dev/null +++ "b/\346\257\233\346\263\275\344\270\234\346\200\235\346\203\263\345\222\214\344\270\255\345\233\275\347\211\271\350\211\262\347\244\276\344\274\232\344\270\273\344\271\211\347\220\206\350\256\272\344\275\223\347\263\273\346\246\202\350\256\272/index.html" @@ -0,0 +1,753 @@ + + + + + + + + 毛泽东思想和中国特色社会主义理论体系概论 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
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    • +
  • 毛泽东思想和中国特色社会主义理论体系概论
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  • + Edit on GitHub +
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文件列表

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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\346\261\207\347\274\226\344\270\216\346\216\245\345\217\243/index.html" "b/\346\261\207\347\274\226\344\270\216\346\216\245\345\217\243/index.html" new file mode 100644 index 000000000..e16fe4641 --- /dev/null +++ "b/\346\261\207\347\274\226\344\270\216\346\216\245\345\217\243/index.html" @@ -0,0 +1,1600 @@ + + + + + + + + 汇编与接口 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

文件列表

+ + +
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+ + +
+ +
+
+ +
+
+
+
+ +

物理化学

+

非化学系物化

+

教材

+

彭笑刚老师教材第二版 +https://pan.zju.edu.cn/share/37b88dfc676e709205cbf8c83e

+

英文教材 +https://pan.zju.edu.cn/share/3771c6731afa487e74405d5d24

+

课后习题解答

+

中文物化（似乎没有耶，手动狗头）

+

英文物化 +b组题见文件夹，a组题答案参见微信公众号-“浙大高分子系学生会”--“聚学习”板块

+

历年考题

+

中文物化（似乎没有耶，手动狗头）

+

英文物化 +见文件夹

+

考点

+
    +
  • 期末考试会给公式表 允许用计算器 但是有一些公式在表里没有
    • +
  • 考点.md 由ttfish整理 听写于曹发和老师的复习课 +考试的时候出现了大量的小测题目和作业题
    • +
+

化学系物化

+

教材同上

+

（待补充）

+

@TTfish

+
@aspxcor 修订于2019年8月2日
+

文件列表

+ + +
+
+ +
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+ + +
+ +
+
+ +
+
+
+
+ +

README

+

上半个学期的理论课，后半学期完成3个实验，实验原理和实现思路都在课本上。

+

考试包括填空题(40%)、名词解释(20%)和简答题(40%)，考试内容以概念和原理为主，不考推导计算。2021年春夏考试中除了要求写出共线条件方程之外未出现任何需要计算的部分。

+

文件列表

+ + +
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+ + +
+ +
+
+ +
+
+
+
+ +

理论力学

+

物理系

+

教材

+

老师自编讲义：

+

由于老师要求仅提供给浙大在校生使用。

+

下载地址：

+

ftp://software.cc98.org/ ，在/#Upload/shuji下（内网）

+

或

+

https://pan.zju.edu.cn/share/6dc46f525fec3baf0d8c5ed4a1 （权限为仅zju在校生可下载）

+

力学与理论力学 中科大教材上下版及习题解答

+

下载地址 +链接：https://pan.baidu.com/s/1orrUKaWfwQM-RFJtPCPFKw?pwd=1234 +提取码：1234

+

求物

+

教材

+

王晓光老师自编讲义（经过改版，下面链接是2020年版本）

+

下载地址： +https://pan.zju.edu.cn/share/a383feea8a00e693f0452da4ed （权限为仅限ZJU在校生下载）

+

历年试卷

+
    +
  • 2020年春夏学期 + https://pan.zju.edu.cn/share/c2f1a354179e8ef2f9a84f89f9 （权限为仅限ZJU在校生下载）
    • +
+

非物理系

+

理论力学哈工大8版教材及答案

+

下载地址： +链接：https://pan.baidu.com/s/1foMlv656nhHy-gno1Eh4Kg?pwd=2apx +提取码：2apx

+

理论力学教材

+

链接：https://pan.baidu.com/s/1asY9lyW4E3XdG9jrDJ8APQ?pwd=1234 +提取码：1234 +复制这段内容后打开百度网盘手机App，操作更方便哦

+

文件列表

+ + +
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+ + + + + + + + + diff --git "a/\347\224\237\347\211\251\345\214\273\347\224\250\351\253\230\345\210\206\345\255\220/index.html" "b/\347\224\237\347\211\251\345\214\273\347\224\250\351\253\230\345\210\206\345\255\220/index.html" new file mode 100644 index 000000000..a26b1950a --- /dev/null +++ "b/\347\224\237\347\211\251\345\214\273\347\224\250\351\253\230\345\210\206\345\255\220/index.html" @@ -0,0 +1,759 @@ + + + + + + + + 生物医用高分子 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

生物医用高分子

+

马列老师的课 不点名 无小测

+

考点

+
    +
  • 考试基本就从ppt中取一些 所以考前打印ppt即可
    • +
  • 大家的绩点似乎都不咋地
    • +
+

@TTfish

+

文件列表

+
    +
  • 生物医用高分子
    • +
+ +
+
+ +
+
+ +
+ +
+ +
+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\347\224\237\347\211\251\347\273\237\350\256\241\344\270\216\350\257\225\351\252\214\350\256\276\350\256\241-16121032-22\347\247\213\345\206\254/index.html" "b/\347\224\237\347\211\251\347\273\237\350\256\241\344\270\216\350\257\225\351\252\214\350\256\276\350\256\241-16121032-22\347\247\213\345\206\254/index.html" new file mode 100644 index 000000000..a526ecb04 --- /dev/null +++ "b/\347\224\237\347\211\251\347\273\237\350\256\241\344\270\216\350\257\225\351\252\214\350\256\276\350\256\241-16121032-22\347\247\213\345\206\254/index.html" @@ -0,0 +1,856 @@ + + + + + + + + 生物统计与试验设计 16121032 22秋冬 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

关于本课程

+

本课程是农学院2022-2023学年秋冬学期生物统计与试验设计课程，课程号16121032，教师是卢运海和徐海明，课程较难，这里整理了我之前的手写笔记，仅供参考。

+

历年卷也在98发布了，点击此处前往。

+

各章节要点梳理

+

第1章

+

chapter1.1

+

chapter1主要还是打基础为主，就是概统相关知识，掌握群体、样本、均值、方差、协方差、常见分布（特别是正态）、中心极限定理等即可。 +考试不会直接考，但是要理解概念。

+

chapter1.2科学试验和误差控制

+

感觉每次考试都会考到，无论是出现在一整个大题（比如第一题基本概念），还是出现在各大题的前一两小题或者最后一两小题 +考前一定要把英文内容阅读一遍并且在旁边备注，考试期间没时间看的 +* 试验设计的基本思路和步骤（这次就考到了 +* 数量性状和质量性状（为后面打基础） +* 试验误差的来源 +* 试验误差的分类 +* 控制试验误差的三种方法 +* 田间试验特点、误差来源、控制误差方法、改进方法 +* 常规试验设计方法（对比、间比） +* 随机试验设计（完全随机、随机区组、Latin Square等，为后面打基础）

+

第2章

+

chapter2.1_note_Fundamental of Mathematical Statistics1

+

课件写得十分详细，卢老师也讲得十分详细，主要还是打基础，超级基础的概统 +考试直接考的也不多，关注基本概念、方差的计算、自由度、正态分布、抽样分布，特别是正态分布和抽样分布 +（文件过大，我就删了一些讲得太基础的part，留了一些有笔记的）

+

chapter2.2_note_Fundamental of Mathematical Statistics2

+

我感觉是chapter2中最重要的一个section，特别多检测方法和基本概念在这里提到了，并且考试极可能会出题（这次就出了）

+
    +
  • H0和HA、小样本和大样本(n>30)、正态分布u测验和t分布t检验、一尾两尾测验、接受区否定区
    • +
  • 假设检验的两种错误、统计功效（考了）
    • +
  • 成组数据平均数比较（sigma都已知、小样本sigma未知、sigma未知且不等）
    • +
  • 成对数据比较（以及与成组数据的区别）
    • +
  • 单样本概率与理论值比较
    • +
  • 两个样本频率比较
    • +
  • 参数区间估计（置信限，这次考了）与假设检验
    • +
  • ANOVA基本原理（打基础）、组间组内变异、自由度平方和分解
    • +
  • F分布和F test检验变异（这次考了）
    • +
+

chapter2.3_note_Fundamental of Mathematical Statistics3

+

这个section也很重要，主要包括卡方测验、一个样本与总体方差比较、3个以上方差的同质性检验、适合度测验； +还有历年曾经考过的独立性测验（2x2独立性测验，2xC独立性测验等）； +参数估计方法（重点关注最小二乘法和最大似然法）

+

第3章

+

chapter3.1_note_Matrix Theory

+

超级基础的线代内容，关注矩阵的转置、rank、trace等基本概念 +还有广义逆、射影矩阵、随机矩阵、quadratic form（为后面打基础）

+

chapter3.2_note_Principles of Simple Regression Analysis

+

非常重要的回归分析以及方差原理的基础部分，重点是理解各个parameter的概念和计算方法 +是每次几乎必考的chapter4的基础 +* regression model的表达式正确写法，参数、自变量、随机变量区分 +* Y的期望方差，b0和b1的分布及估计 +* 经过原点或不经过原点的SCP/SSx/SSTO/SSR/SSE/R方/Radj方/rho/MSE计算方法（考了） +* F-test检验模型线性、t-test检验各个参数以及区间估计（考了） +* Jackknife resampling方法要留个印象（MLM中会用到）

+

第4章

+

chapter4_note_Methods of Multi-variable Regression Analysis

+

考试热点、重难点，应该每次都有一个大题=。= +并且是后面各种模型分析思路的基础（包括MLM）

+
    +
  • 多元线性回归模型表达、矩阵表达、参数自变量随机变量、Y分布（这次考了）
    • +
  • 平方和分解，不用多说了，SSTO/SSR/SSE/MSR/MSE/E(MS)（这次考了）
    • +
  • 方差分析表，自由度、F-test检验全模型线性度（这次考了）
    • +
  • R方、Radj方计算方法及实际意义
    • +
  • bi的显著性检验，广义线性检验，K、b、m矩阵形式（这次考了）
    • +
  • 各参数的区间估计（这次考了）
    • +
  • 过原点模型的区别之处（注意自由度以及SS是否使用均值校正了）（这次考了）
    • +
  • SSR的分组分解，F-test检验参数，部分决定系数（这次考了）
    • +
  • 三种筛选自变量的方法
    • +
+

第5章

+

chapter5_note_other multiple regression and non-linear regression

+

是简单线性回归的延伸，同时也为之后的析因设计等打下基础，因为交互效应就需要多项式回归模型分析 +考试直接出题应该不多，主要掌握dummy variable的概念（为啥要用dummy variable，作用是啥，调整截距/斜率的用法），分段回归模型、非线性回归模型（与内蕴线性回归模型相区分；使用SAS的NLIN模块）

+

第6章

+

chapter6_note_The analysis of variance and randomized block design

+

我感觉chapter6/7/8/9需要综合起来理解，考试也是必考的 +* 平衡数据和非平衡数据区别、Type I SS以及Type III SS区别及联系 +* Fixed Model和Random Model的区别，特别是方差分析表上EMS的差异以及检验参数时的H0/HA +* 多重比较alpha_pc和alpha_ew值之间的关系以及实际意义 +* 多重比较的方法LSD、Tukey等，以及如何分析grouping的结果 +* 完全随机区组设计思路、优缺点，模型、方差分析表 +* Latin Squares Design的思路，有replication和没有的区别，模型表达、方差分析

+

关键是理解到位，考试不会考到一模一样的实验例子，但是有些会长得很像，因此把握思路更重要

+

第7&8&9章

+

考试必考点，与chapter6重复的点就不再强调了 +* 突出互作效应，互作效应加入后SS、EMS怎么求，互作效应是否显著怎么下推断 +* 将某个效应正交分解成线性、二次性、三次性等关系，如何设置dummy variable +* 何时使用nested design、引入协变量 +* 在Fixed/Random/Mixed model条件下，各种SSA、SSB、SSAB怎么计算，各种EMS怎么计算，特别是F-test的时候的分母以及自由度

+

第10章

+

考试必考一题，通常最后一题（我感觉 +* MLM的通式，特别是各个效应向量以及系数矩阵 +* 常用的随机效应分布假设，模型中需要分析的参数 +* 估计随机效应分量的方法（Henderson III method、ML method、REML method、MINQUE），掌握表达式以及假设 +* Henderson III method的优缺点，ML与REML的区别，REML与MINQUE的区别 +* 随机效应值的预测方法及公式，BLUP/LUP/AUP +* 估计固定效应的公式：BLUE，包括GLS和OLS +* 检验方差显著性方法：渐进多元正态分布、Jackknife resampling

+

文件列表

+ + +
+
+ +
+
+ +
+ +
+ +
+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\347\224\237\347\211\251\347\273\237\350\256\241\345\255\246/index.html" "b/\347\224\237\347\211\251\347\273\237\350\256\241\345\255\246/index.html" new file mode 100644 index 000000000..41af20092 --- /dev/null +++ "b/\347\224\237\347\211\251\347\273\237\350\256\241\345\255\246/index.html" @@ -0,0 +1,756 @@ + + + + + + + + 生物统计学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
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+
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+ +

文件列表

+ + +
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+ +
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+ + + + GitHub + + + + « Previous + + + Next » + + +
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+ + +
+ +
+
+ +
+
+
+
+ +

文件列表

+ + +
+
+ +
+
+ +
+ +
+ +
+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\347\224\265\345\267\245\347\224\265\345\255\220\345\255\246\345\217\212\345\256\236\351\252\214/index.html" "b/\347\224\265\345\267\245\347\224\265\345\255\220\345\255\246\345\217\212\345\256\236\351\252\214/index.html" new file mode 100644 index 000000000..1721638cb --- /dev/null +++ "b/\347\224\265\345\267\245\347\224\265\345\255\220\345\255\246\345\217\212\345\256\236\351\252\214/index.html" @@ -0,0 +1,797 @@ + + + + + + + + 19春夏 电工电子学及实验 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

19春夏 电工电子学及实验

+

课程组成

+

分成理论课和实验课。实验课两周一节，没有考试，有两次实验不用交报告，实验室里很多器材可能坏了的，有时候要调试一下才能做出来。

+

考试简介

+

复习课

+

选了jgj老师的课，老师不会轻易挂人，最后一节复习课上老师说45分给过，最后一节复习课大概会划二三十分的重点，基本都会考到，隔壁班老师没有给那么多提示。

+

分数占比

+
    +
  • 20%： 实验
    • +
  • 15%： 平时作业，五份自测题（附件是有答案版本）
    • +
  • 65%： 期末考试 +平时作业的话还有书上额外的题目，老师一开始说期末要检查来着，结果是最后一节课老师让大家举手，做了的举手，基本都举手了，老师说加平时分；没做的举手，一个人举手了，诚实，也加分。
    • +
+

考试题型

+
    +
  • 判断题 10题（10分）
    • +
  • 选择题 14题（28分）
    • +
  • 填空题 30空（30分）
    • +
  • 计算题 4题 （32分）
    • +
+

笔记

+

电工电子学复习重点整理 https://zhuanlan.zhihu.com/p/638896936

+

文件列表

+ + +
+
+ +
+
+ +
+ +
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+ + + + GitHub + + + + « Previous + + + Next » + + +
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+ + +
+ +
+
+ +
+
+
+
+ +

电磁场与电磁波

+

我是2021春夏学期，LK老师班级的，老师人很好，给分也很温柔。

+

不管是打算认真学习场波，还是水水过去的同学，希望这些资料能提供微薄的帮助。

+

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+ + +
+ +
+
+ +
+
+
+
+ +

教材

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书/应用数学/离散数学

+

笔记

+

离散数学重点整理 https://zhuanlan.zhihu.com/p/639464918

+

文件列表

+
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  • 离散数学
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+ + +
+ +
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+ +
+
+
+
+ +

离散数学及其应用

+
    +
  • 钱yuntao老师的课 给分主要看期末考试 要多做题
    • +
+

关于考试

+
    +
  • 闭卷 期末占比参考平时成绩 不一定
    • +
  • 图论那边得好好学 期中考试也得好好准备一下
    • +
+

关于点名

+
    +
  • 不会点名 随缘考试 作业需要好好做
    • +
+

关于教材答案以及教辅

+

由于文件有200M左右 比较大 我上传在sea上面了 点击链接可以下载 是 第七版的教材+课后习题（中英文都有!）+教辅

+

Click to Download

+

下载密码是 discretemath

+

@TTFish

+

文件列表

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+ + +
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+ + +
+ +
+
+ +
+
+
+
+ +

如果有兴趣，可以移步我的博客，查看我的 C 语言易错点清单。

+

http://blog.zhanghai.me/c-exam-notes/

+
+

再贴一个 C 小的琐碎知识点整理

+

https://www.yuque.com/isshikixiu/codes/cxiaocheng

+

或者

+

https://note.isshikih.top/cour_note/D1QD_CXiaoCheng/

+

文件列表

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+ + +
+ +
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+ +
+
+
+
+ +

课程内容

+

尽管课程名称叫程序设计方法学，但是实际上是编程语言原理这门课，简称是PPL(Principle of Programming Language)

+

课程资料

+

课程的大多授课内容可以参考SICP这本经典教材，有相当多图表例题都是书里的原题。

+

考核方式

+

平时

+
    +
  1. 完成一个LISP语言的方言的解释器，每年都会在语言细节上作小的specification，整个项目会分成数个阶段完成，最好开始对代码架构进行良好的思考，否则后期拓展很痛苦。
    2. +
  2. 还有一些课上内容的小作业，很简单
    3. +
+

期末

+
    +
  1. 期末是主观大题，十多道，难度不高，都是课上讲述的内容，并且在复习过程中很明确知道某些点一定会有题目出现
    2. +
  2. 期末题目中存在着一定量的手写代码，一般使用Project的语言来完成一些算法，考察平时是否有认真完成Project
    3. +
+

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+ + +
+ +
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+ +
+
+
+
+ +

教材

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书>物理及力学>力学>空气动力学

+

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+ + +
+ +
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文件列表

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+ + +
+ +
+
+ +
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+
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文件列表

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+ + + + + + + + + diff --git "a/\347\275\221\347\273\234\345\256\211\345\205\250\345\216\237\347\220\206\344\270\216\345\256\236\350\267\265/index.html" "b/\347\275\221\347\273\234\345\256\211\345\205\250\345\216\237\347\220\206\344\270\216\345\256\236\350\267\265/index.html" new file mode 100644 index 000000000..afcc6ff7c --- /dev/null +++ "b/\347\275\221\347\273\234\345\256\211\345\205\250\345\216\237\347\220\206\344\270\216\345\256\236\350\267\265/index.html" @@ -0,0 +1,772 @@ + + + + + + + + 网络安全原理与实践 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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+ + +
+ +
+
+ +
+
+
+
+ +

全国研究生入学考试数学复习指南

+

文件过大，将整书拆分为4份上传。

+

文件列表

+ + +
+
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+ + + + + + + + + diff --git "a/\350\207\252\345\212\250\346\216\247\345\210\266\345\216\237\347\220\206/index.html" "b/\350\207\252\345\212\250\346\216\247\345\210\266\345\216\237\347\220\206/index.html" new file mode 100644 index 000000000..b6c1fca21 --- /dev/null +++ "b/\350\207\252\345\212\250\346\216\247\345\210\266\345\216\237\347\220\206/index.html" @@ -0,0 +1,748 @@ + + + + + + + + 自动控制原理 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

教材

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书>信息科学

+

笔记

+

自动控制原理总结 https://zhuanlan.zhihu.com/p/675466143

+

文件列表

+
    +
  • 自动控制原理
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+ + + + + + + + + diff --git "a/\350\207\252\345\212\250\346\216\247\345\210\266\347\220\206\350\256\272\357\274\210\344\271\231\357\274\211\342\205\240/index.html" "b/\350\207\252\345\212\250\346\216\247\345\210\266\347\220\206\350\256\272\357\274\210\344\271\231\357\274\211\342\205\240/index.html" new file mode 100644 index 000000000..5be562cbb --- /dev/null +++ "b/\350\207\252\345\212\250\346\216\247\345\210\266\347\220\206\350\256\272\357\274\210\344\271\231\357\274\211\342\205\240/index.html" @@ -0,0 +1,746 @@ + + + + + + + + 自动控制理论（乙）Ⅰ - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
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+ +

文件列表

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+ +
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+ +
+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\350\256\241\347\256\227\346\226\271\346\263\225/index.html" "b/\350\256\241\347\256\227\346\226\271\346\263\225/index.html" new file mode 100644 index 000000000..3d730d0f1 --- /dev/null +++ "b/\350\256\241\347\256\227\346\226\271\346\263\225/index.html" @@ -0,0 +1,748 @@ + + + + + + + + 计算方法 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

笔记

+

计算方法重点整理 https://zhuanlan.zhihu.com/p/639696202

+

文件列表

+ + +
+
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文件列表

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+ + +
+ +
+
+ +
+
+
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+ +

文件列表

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+ + + + + + + + + diff --git "a/\350\256\241\347\256\227\346\234\272\345\233\276\345\275\242\345\255\246/index.html" "b/\350\256\241\347\256\227\346\234\272\345\233\276\345\275\242\345\255\246/index.html" new file mode 100644 index 000000000..158c68f1b --- /dev/null +++ "b/\350\256\241\347\256\227\346\234\272\345\233\276\345\275\242\345\255\246/index.html" @@ -0,0 +1,746 @@ + + + + + + + + 计算机图形学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

教材

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书>计算机>计算机图形学

+

文件列表

+
    +
  • 计算机图形学
    • +
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+
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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\350\256\241\347\256\227\346\234\272\347\241\254\344\273\266\345\237\272\347\241\200/index.html" "b/\350\256\241\347\256\227\346\234\272\347\241\254\344\273\266\345\237\272\347\241\200/index.html" new file mode 100644 index 000000000..fb6112971 --- /dev/null +++ "b/\350\256\241\347\256\227\346\234\272\347\241\254\344\273\266\345\237\272\347\241\200/index.html" @@ -0,0 +1,792 @@ + + + + + + + + 计算机硬件基础 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
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文件列表

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+ + + + + + + + + diff --git "a/\350\256\241\347\256\227\346\234\272\347\263\273\347\273\237\346\246\202\350\256\272/index.html" "b/\350\256\241\347\256\227\346\234\272\347\263\273\347\273\237\346\246\202\350\256\272/index.html" new file mode 100644 index 000000000..a219dcdb9 --- /dev/null +++ "b/\350\256\241\347\256\227\346\234\272\347\263\273\347\273\237\346\246\202\350\256\272/index.html" @@ -0,0 +1,961 @@ + + + + + + + + 计算机系统概论 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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文件列表

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硬件课，题库出题，请务必注重往年试卷。

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ISA更改

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从2020-2021春夏学期开始, 组成理论与实验均从MIPS迁移到了RISC-V

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实验更改

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从2020-2021春夏学期开始, 组成实验涵盖了简单的流水线实现

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文件列表

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文件列表

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计算机组成与设计

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信电学院课程， 不同老师班级作业不一样，但会统一布置 Lab。

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从2020年起，ISA 从 x86 改为 RISC-V ，历年卷中需要注意。

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文件列表

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关于选课：

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    +
  • HZQ 讲课很投入，但是并不会着重讲考点；给分不错。
    • +
  • LKJ 似乎不像有过的传闻中那样坑，虽然讲课一般，但相反地给分还好，还曾划过很准的重点。
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  • ZKG 似乎给分不好
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  • QJS 讲课算是比较有趣的，在讲课过程中会抛出几个笑话。
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  • GY 讲的中规中矩
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关于考试（基于2016-17秋冬计算机网络）

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  • 试卷目录下：试卷整理.pdf非常有用，因为考试的考点和考察方式基本借鉴往年卷。
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  • 30判断，70选择，闭卷
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  • 当然这门课的意义不仅仅是拿个漂亮的成绩
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  • 个人感觉考试的内容广而浅，复习的时候最好多看一些，不要只抓重点，会考一些很细小的小知识，就是那种看了一遍就能理解、记住，但是不看就完全答不出来的知识点。
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关于平时实验

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  • 实验安排的不是很合理，前几次实验基本上都是理论知识将都没讲到就让你做实验，最后做的一头雾水（比如 LKJ 班，而 HZQ 班在后半学期才开始做实验，时间很紧，不过起码那个时候已经讲到相关东西了）。所以在这里推荐《计算机网络-自顶向下方法》这本书，它讲的顺序和我们的教材完全相反，但是这种顺序易于理解，最好在做实验一之前看一下本书的第2章——应用层。要注意的是本书的重点不是考试的重点，还是要以教材和 PPT 为准，这本书只是一个参考，帮助理解的。
    • +
  • GNS3 我只能说祝大家好运，软件体验属实一般
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  • Lab 8 HTTP 服务器的一个的实现: https://github.com/CHN-ChenYi/HTTPSimple-Net2021
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文件列表

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关于计算机视觉

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上过宋明黎老师的课，强烈推荐，老师很可爱，在群里也很活跃

+

5次平时作业，占50分，难度适中，需要学习opencv，宋老师很贴心地把考试放在最后一天，并把DDL延长到寒假

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期末考占50分，闭卷考试，题型为简答+公式推导+计算，可能因为CV东西太多太难，索性就当文科考了。考点都在复习提纲里，不需要看提纲之外的内容。复习的时候查到过以前同学的笔记，内容也都变化不大，所以就把提纲放上来了

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整理了一份复习笔记（参考了网上一些同学的博客），只要背会，期末考试绝对没问题~

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文件列表

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自学方法：定义看 PPT，证明看书，即可。因为考试和Quiz的套路十分固定，所以平常不用关注除了最后一章的证明。

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Quiz相关： JXG老师是每章布置作业后的第1/2周的课前进行Quiz，切勿迟到。YYC老师的Quiz往往迟于JXG老师，且题目相同。

+

关于最后一章undecidability的证明可以参考这个题目集和题目集答案，涵盖了常见套路和小结论，应该足以应对所有相关题目。

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文件列表

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文件列表

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资产定价

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是门神仙课，太难了，而且老师不放讲义什么的。

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整理了很多资料希望能帮到学弟学妹们。往年题可以参考 cc98 上的东西。

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文件列表

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关于选课：YJW 的软件工程课可以让你输得心服口服，但这又是何苦呢。建议慎选。

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软工课程网站上的 36 章的习题，做成了 Anki Deck，可以在 AnkiWeb 上下载，也可以在下方"试卷"一栏中 "SE36Chapters.apkg" 处下载。

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文件列表

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文件列表

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文件列表

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量子力学教材

+

链接：https://pan.baidu.com/s/1asY9lyW4E3XdG9jrDJ8APQ?pwd=1234

+

提取码：1234

+

量子力学导论笔记

+

https://zhuanlan.zhihu.com/p/609544084

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文件列表

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  • 量子力学导论
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文件列表

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这是1.5学分的随机过程

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集成电路原理与设计

+

信电学院课程，21年以前开设的课程名为“模拟与模数混合电路”。

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文件列表

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文件列表

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+ + + + + + + + + diff --git "a/\351\235\242\345\220\221\344\277\241\346\201\257\346\212\200\346\234\257\347\232\204\346\262\237\351\200\232\346\212\200\345\267\247/index.html" "b/\351\235\242\345\220\221\344\277\241\346\201\257\346\212\200\346\234\257\347\232\204\346\262\237\351\200\232\346\212\200\345\267\247/index.html" new file mode 100644 index 000000000..6e3f36323 --- /dev/null +++ "b/\351\235\242\345\220\221\344\277\241\346\201\257\346\212\200\346\234\257\347\232\204\346\262\237\351\200\232\346\212\200\345\267\247/index.html" @@ -0,0 +1,756 @@ + + + + + + + + 面向信息技术的沟通技巧 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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文件列表

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+ + + + + + + + + diff --git "a/\351\235\242\345\220\221\345\257\271\350\261\241\347\250\213\345\272\217\350\256\276\350\256\241/index.html" "b/\351\235\242\345\220\221\345\257\271\350\261\241\347\250\213\345\272\217\350\256\276\350\256\241/index.html" new file mode 100644 index 000000000..4a0384c35 --- /dev/null +++ "b/\351\235\242\345\220\221\345\257\271\350\261\241\347\250\213\345\272\217\350\256\276\350\256\241/index.html" @@ -0,0 +1,761 @@ + + + + + + + + 面向对象程序设计 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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文件列表

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+ + + + + + + + + diff --git "a/\351\243\236\350\241\214\345\231\250\347\273\223\346\236\204\345\212\250\345\212\233\345\255\246/index.html" "b/\351\243\236\350\241\214\345\231\250\347\273\223\346\236\204\345\212\250\345\212\233\345\255\246/index.html" new file mode 100644 index 000000000..7f59a6c41 --- /dev/null +++ "b/\351\243\236\350\241\214\345\231\250\347\273\223\346\236\204\345\212\250\345\212\233\345\255\246/index.html" @@ -0,0 +1,746 @@ + + + + + + + + 飞行器结构动力学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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教材

+

https://pan.baidu.com/s/1gaeV_OuJ-zdF9SkOiONvhA?pwd=1234

+

精品书>工科教材

+

文件列表

+
    +
  • 飞行器结构动力学
    • +
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+ + + + + + + + + diff --git "a/\351\251\254\345\205\213\346\200\235\344\270\273\344\271\211\345\237\272\346\234\254\345\216\237\347\220\206/index.html" "b/\351\251\254\345\205\213\346\200\235\344\270\273\344\271\211\345\237\272\346\234\254\345\216\237\347\220\206/index.html" new file mode 100644 index 000000000..b79896a3f --- /dev/null +++ "b/\351\251\254\345\205\213\346\200\235\344\270\273\344\271\211\345\237\272\346\234\254\345\216\237\347\220\206/index.html" @@ -0,0 +1,770 @@ + + + + + + + + 马克思主义基本原理 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
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文件列表

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+ + + + + + + + + diff --git "a/\351\253\230\345\210\206\345\255\220\345\214\226\345\255\246/index.html" "b/\351\253\230\345\210\206\345\255\220\345\214\226\345\255\246/index.html" new file mode 100644 index 000000000..f6d019d25 --- /dev/null +++ "b/\351\253\230\345\210\206\345\255\220\345\214\226\345\255\246/index.html" @@ -0,0 +1,779 @@ + + + + + + + + 高分子化学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
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+ +

高分子化学

+

高分子系最重要的专业课之一 一定要好好学 之后的高分子材料 高分子合成工艺都会有提到相关知识

+

中间需要交两次课程论文 一张A4纸大小

+

教材

+

潘祖仁第五版 网上有电子书 别买错了

+

课后习题解答

+

见习题答案

+

历年考题

+

见文件夹中复习题与回忆卷(复习题由叶辰学长整理)

+

考点

+
    +
  • 多背书中概念 2019年未考计算题
    • +
  • 绩点随缘
    • +
+

@TTfish

+

文件列表

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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\351\253\230\345\210\206\345\255\220\345\220\210\346\210\220\345\267\245\350\211\272\345\255\246/index.html" "b/\351\253\230\345\210\206\345\255\220\345\220\210\346\210\220\345\267\245\350\211\272\345\255\246/index.html" new file mode 100644 index 000000000..6ef4196d5 --- /dev/null +++ "b/\351\253\230\345\210\206\345\255\220\345\220\210\346\210\220\345\267\245\350\211\272\345\255\246/index.html" @@ -0,0 +1,766 @@ + + + + + + + + 高分子合成工艺学 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
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+
+ +

高分子合成工艺学

+

课程与高分子化学重复度很高

+

中间需要交1次课程论文 期末考试不难 但得多背 题目差距不大

+

课后习题解答

+

见习题答案

+

复习宝典

+

复习宝典

+

仅搬运 侵权删除

+

@TTfish

+

文件列表

+ + +
+
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+
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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\351\253\230\345\210\206\345\255\220\346\235\220\346\226\231/index.html" "b/\351\253\230\345\210\206\345\255\220\346\235\220\346\226\231/index.html" new file mode 100644 index 000000000..2b98e0350 --- /dev/null +++ "b/\351\253\230\345\210\206\345\255\220\346\235\220\346\226\231/index.html" @@ -0,0 +1,767 @@ + + + + + + + + 高分子材料 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
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高分子材料

+

高分子系最重要的专业课之一 要背的东西很多 考试千万别下50分

+

考前有两次材料展示 课上点名回答问题频繁

+

历年考题

+

见回忆卷高材回忆卷

+

考点

+
    +
  • 多背书 橡胶尤其 记住"最blablabla的材料
    • +
+

@TTfish

+

文件列表

+ + +
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+ + + + + + + + + diff --git "a/\351\253\230\345\210\206\345\255\220\347\211\251\347\220\206/index.html" "b/\351\253\230\345\210\206\345\255\220\347\211\251\347\220\206/index.html" new file mode 100644 index 000000000..604cee620 --- /dev/null +++ "b/\351\253\230\345\210\206\345\255\220\347\211\251\347\220\206/index.html" @@ -0,0 +1,765 @@ + + + + + + + + 高分子物理 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
+
+ +
+
+
+
+ +

高分子物理

+

高分子系最重要的专业课之一 一定要好好学 以后做研究离不开高物

+

中间需要交1~2次课程论文 看老师要求 期末考试得好好考

+

课后习题解答

+

见习题答案

+

历年考题

+

无

+

@TTfish

+

文件列表

+ + +
+
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+
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+ + + + GitHub + + + + « Previous + + + Next » + + +
+ + + + + + + + + diff --git "a/\351\253\230\347\272\247\346\225\260\346\215\256\347\273\223\346\236\204\344\270\216\347\256\227\346\263\225\345\210\206\346\236\220/index.html" "b/\351\253\230\347\272\247\346\225\260\346\215\256\347\273\223\346\236\204\344\270\216\347\256\227\346\263\225\345\210\206\346\236\220/index.html" new file mode 100644 index 000000000..4a80e30b8 --- /dev/null +++ "b/\351\253\230\347\272\247\346\225\260\346\215\256\347\273\223\346\236\204\344\270\216\347\256\227\346\263\225\345\210\206\346\236\220/index.html" @@ -0,0 +1,818 @@ + + + + + + + + 高级数据结构与算法分析 - 浙江大学课程攻略共享计划 + + + + + + + + + + + + + +
+ + +
+ +
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+ +
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文件列表

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