白拾的笔记本

What is flask? Python web application framework. Why flask? lightweight ability to scale up. How to use basic functionality of flask? Here we list the basic functionality of flasj. Install and activation 1234$ mkdir myproject$ cd myproject$ python3 -m venv venv$ . venv/bin/activate 12PS C:\path\to\app> py -m venv venvPS C:\path\to\app> venv\Scripts\activate Real code example 123456from flask import Flaskapp = Flask(__name__)@app.route('/')def hello_world(): return 'He ...

Lecture 13/14/15 VV&C Line coverage/ branch coverage Bug tracking review, static analysis deploy maintenance DevOps, communication delay Waterfall model, Spiral model, The Unified Process

concepts as mental representations of classes objects or events. They determine how things are related or categorized. concepts: improve cognitive economy, help us make useful predictions and generalizations, communicate. cognitive economy: prototype theory, classical theory, pros: intuitive, economical, definitions are easy to communicate, easy to check category membership against definition. cons: hard to find satisfactory definitions, borderline/debatable cases, typicality effects. category m ...

Tools Collection Monitoring Hierarchical planning Hierarchical task network (HTN) High level action (HLA) refinement Template 12345<!-- refinements -->Refinment({ActionName}(variable1, variable2), Precond: {constraints} Steps: {action list}) Monitoring and replanning in unbounded num-determinism Execution monitoring includes action monitoring, plan monitoring. Hierarchical Planning hierarchical decomposition, Hierarchical task network (HTN) planning: i ...

Tools Collection search-based problem-solving agent logic-based planning agent Planning definition domain language (PDDL) state-space search forward state-space search backward state-space search plan-space search partial-order planning Template 123456<!-- PDDL -->Initial State: {state}Goal State: {state}Action({ActionName}(variable1,variable2,...) Precond:{a conjunction, all positive}, Effect:{a conjunction, can extend to disjunct ...

CFG and syntax tree context-free languages are common to both artificial languages and natural languages, can be resolved by syntax tree, which displays the grammatical consistent structure of a language text and constructing the tree is a step in many language processing (LP) tasks. grammar specify what syntax tree is possible, consist of terminals of grammar or the leaf of syntax and non-terminals that not appear in sentences of language. generating syntax tree from grammar, beginning with sta ...

Matplotlib几个基本的颜色代码 blue( b ), cyan( c ), green( g ), black( k ), magenta( m ), red( r ), white( w ), yellow( y ) Matplotlib颜色对照表 颜色及十六进制对应 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141cnames = {'aliceblue': ...

Lecture 10.1 Communication Key linkage Communication is a goal: to transfer information from source to destination. If M and F are independent, $H(M|F) = H(M)$. If F deterministically map to M, $H(M|F) = 0$. Key terms communication, information, source, destination, computational level goal, necessary subgoal source, probability distribution over meaning, transmitter, encoder, function, meaning, form, receiver, decoder, noise source, reference resolution information theory, information content ...

Key terms the mapping problem, mutual exclusivity, inductive bias, word single object, fast mapping, word, object, observation, cross-situational word learning, sorting, reasoning, word object, co-occurrence statistics, word referent mapping, intension model, cross-situational information, human simulation paradigm, propose-but-verify, hypothetical mapping, intentional reasoning inductive bias, mutual exclusive bias, whole object bias, taxonomic bias, exposure, testing, meaning error, overextens ...

Key terms the mapping problem, mutual exclusivity, inductive bias, word single object, fast mapping, word, object, observation, cross-situational word learning, sorting, reasoning, word object, co-occurrence statistics, word referent mapping, intension model, cross-situational information, human simulation paradigm, propose-but-verify, hypothetical mapping, intentional reasoning inductive bias, mutual exclusive bias, whole object bias, taxonomic bias, exposure, testing, meaning error, overextens ...

Abstract This note collect all terms occur in SEPP Lecture 6/7/9. It would be helpful to recap what has learnt and what has already been abstracted away. Pool of atomic terms plan-driven development process, heavy documentation, formal documentation, iteration, agile development process, individual, interaction, working software, customer collaboration, responding to change, design, implementation, unfinished feature, requirement engineering, requirement specification document, omnipresent, deta ...

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Abstract This note collect all terms occur in SEPP Lecture 6/7/9. It would be helpful to recap what has learnt and what has already been abstracted away. Pool of atomic terms plan-driven development process, heavy documentation, formal documentation, iteration, agile development process, individual, interaction, working software, customer collaboration, responding to change, design, implementation, unfinished feature, requirement engineering, requirement specification document, omnipresent, deta ...

Abstraction This note collect all terms occur in SEPP Lecture 1/2/4/5. It would be helpful to recap what has learnt and what has already been abstracted away. Pool of atomic terms small system, budget, reliability, complex interface, software development, requirement capture, design, construction, implementation, testing, debugging, maintenance, evolution, management, software engineering activity needs, issues, stakeholder, prioritization, maintenance, evolving requirement, modelling language, ...

Abstraction This note collect all terms occur in SEPP Lecture 1/2/4/5. It would be helpful to recap what has learnt and what has already been abstracted away. Pool of atomic terms small system, budget, reliability, complex interface, software development, requirement capture, design, construction, implementation, testing, debugging, maintenance, evolution, management, software engineering activity needs, issues, stakeholder, prioritization, maintenance, evolving requirement, modelling language, ...