| Agent Cell |
H |
H |
GPL |
Reactive |
java |
interlinks among behaviour of individual cells and stochastic intracellular processes |
Java |
| Agent Factory |
M |
M |
LGPL |
Mobile; reactive; belief-desire-intention; Bespoke; Deliberative |
java |
Rapic prototyping visualisation, testing, debugging, and deployment of multi-agent based systems for
social network analysis |
Java |
| AgentScript |
L |
S |
GPLV3 |
Turtles |
Model libraries and add-ons available, CoffeeScripts directly within the browser |
Minimalist ABMS framework based on netlogo agent semantics for social sciences, education/learning |
Java |
| AgentSheets |
L |
S - M |
Proprierty |
Reactive |
visual drag drop conversational programming interface |
teaching agent-based simulations to students in social studies, mathematics, natural sciences, social
sciences |
Java |
| Altreva Adaptive modeler |
L |
H |
Proprierty |
Reactive; Evolutionary |
Visual model deployment, easy to use drag and drop user interface, real-time charts and plots to
visualise model evolution, behaviour and performance, user configurable, genetic programming engine for
trading rules creation |
Financial market's simulation models for the purpose of forecasting prices of real world market traded
stocks or securities |
Microsoft .NET |
| Anylogic |
M |
H |
Proprierty |
Java Classes |
Java UML-RT, user friendly graphical environemnt for visual model development |
Interactive 2D/3D simulations in manufacturing business strategy and innovation analysis,
transportation, healthcare social sciences, economics, urban dynamics, supply chains, computer
networkds, logistics, warehousing, power grids, complex adaptive dynamic discrete event systems |
Java |
| AOR Simulation |
M |
H |
GPL |
Cognitive |
Java; JavaScript |
Agent-based discrete event simulations, management, social sciences, economics, biology |
Java |
| Ascape |
M |
M - H |
BSD |
Java Classes |
Models library's built-in routines available, java ecplise |
General-purpose modelling and simulation, social science, evolutionar, game theory, organizational
processes, economics, anthropology, sociology political science |
Java |
| BehaviourComposer |
L |
S - M |
BSD |
Prototyp; scheduler |
models library consisting of modular code fragments micro behaviours independent processes threads or
repeatedly scheduled events avaiable. In Ajac, javascript and XML, netlogo programming language, can use
extensions api thereby making calls to java-based routines |
2D/3D basic simulations in social/natural sciences |
Java |
| Brahms |
H |
H |
Open Source |
Cognitive, Belief-Desire Intention |
BDI Language |
Multi-agent based system to model and simulate people's activity and situated behaviour (location,
artifacts, communication) and collaboration/coordination in organizational processes |
Java |
| Breve |
M |
M |
GPL |
Stimulus responsive simple mobile agents |
Python |
Builds 3D simulations of agent-based systems representing artifical life |
C++ |
| Bsim |
H |
H |
OSI-MIT |
Reactive Behavioural agents |
Java |
Simulations in 2D/3D related to: stohastic interactions of bacterial populations and particles in a
fluids, multi-cellular computing in synthetic bioloigy |
Java |
| CloudSim |
M |
H |
GNU Lesser GPL |
Logic of agent/objects implemented as policies for cloud, provisioning, scheduling, migration |
Java; IDE eclipse |
Modelling and simulation of cloud computing / virtualised datacentre based infrastructures and services
|
Java |
| Cormas |
M |
M |
Open Source |
Agents/objects implemented as class constructs |
SmallTalk |
Simulations of natural renewable resource management, geographic information systems, marketing, ecology
|
Smalltalk (VisualWorks Cincom Systems) |
| CRAFTY |
M |
M - H |
Open Source |
Configurable spatical data structures as objects (cells/regions) with different production functions in
thresholds, component role-based agents |
R |
Simulations of a wide range of land uses and logistics (goods/services) |
Java |
| CybelePro |
M |
H |
Proprierty |
Reactive agent/objects implemented as java classes |
Java-based cybelePro API |
Modelling and simulations of high performance infrastructures and large-scale distributed systems (such
as robotics, planning and scheduling, communication network systems and cross-enterprises, data-mining,
control of air and ground transportation systems) |
Java |
| D-Omar |
H |
H |
Proprierty |
Cognitive agents |
SCORE (a procedural language) |
Simulation development environment designed to explore and model human multiple task-based behaviours
(air-crew air-traffic control and communication) |
LISP, D-OMAR's middle-ware layers |
| DigiHive |
H |
M |
Proprierty |
Evolutionary |
Prolog |
Simulations of artificial life, emergent phenomena, self-adaption, self-replication |
C++ |
| Echo |
H |
H |
Open Source |
Adaptive Evolutionary agents |
C |
Simulation environments for complex adaptive systems, ecological modelling |
C |
| EcoLab |
H |
H |
Open Source |
MPI-based agents implemented as C++ classes |
C++ |
Simulations of complex dynamics of evolution |
C++ |
| Envision |
M |
M |
Open Source |
Reactive Behavioural agents |
C++ |
Multi-paradigm GIS (Geographic Information System based tool for analysing scenario-based coupled
natural/human resource systems and community/regional integrated planning and environmental assessments
|
C++ |
| Eve |
M |
S - M |
Open Source |
Agents/objects implemented as Java classes |
Java |
General multi-purpose modelling and simulations |
Java |
| ExtendSim |
M |
S - M |
Proprierty |
Object oeriented agents or entities interacting via discrete events |
ModL |
2D/3D simulations in a variety of fields (business, industry, healthcare, meteorology, air defence, and
academic) |
ExtendSim's ModL Language |
| FLAME |
M |
H |
GNU Lesser GPL |
Agents as objects characterized by states functions and sets of variables |
GUI |
General multi-purpose simulations (cellular automata, economics, biology, medical, traffic, situations)
|
C |
| FLAME GPU |
H |
H |
GPU |
Reactive processing agents as communicating X-Machines with inputs and outputs |
CUDA |
3D simulations for emergent complex behaviours in biology/medical domains (tissue cultures and signaling
pathways) with multi massive amounts of agents on GPU |
C |
| FlexSim |
L |
S - M |
Proprierty |
Agents/objects implementd as C++ classes |
FlexSim's library of standard customizable objects available |
2D/3D simulations for manufacturing, production, distribution of logistics, supply chains,
transportation, oil field or mining process, networking data flow, healthcare optimizations with
OptQuest plugin |
OpenGL |
| Framsticks |
L |
S |
GPL LGPL |
Evolutionary |
Java Runtime Environments |
2D/3D simulations of evolving agent-based systems and articicla life for research and education |
OpenGL |
| Gama |
M |
M - H |
GNU Gplv2 |
Reactive Behavioural agents |
GAML |
2D/3D modelling and development platform for building spatially explicit agent0based simulations
(arbitrary complex GIS data as the bases of agents), land-use and land-planning, social instituational,
economical ecological or biophysical systems |
OpenGL |
| GALATEA |
M |
M |
Open Source |
Logic-based agents or objects (as observe-reason-act-processes) |
Java |
Modeling and simulatino of discrete -event simulation, continuous, combined and multi agent systems e.g.
hardware and software co-design, communication, systes, manufacturing systems, biology, sociology,
economics |
Java |
| GridABM |
H |
H |
GPL |
Reactice, BDI agents |
Java |
High-performance agent-based distributed cellular automation models based on repast |
Java |
| GROWLab |
M |
S - M |
Open Source |
Agents/objects implemented as Java classes |
Java |
Social phenomena |
Java |
| HLA_Agent |
H |
H |
Open Source |
Reactive, Deliberative, Cognitive agents |
C++ |
Complec adaptive systems, evolutionary computation, social and naturaal sciences, mapping passenger
flow, manufacturing military combat scenarios, high performance computing |
C++ |
| HLA_RePast |
H |
H |
Open Source |
Reactive/BDI object oeriented agents |
Java |
Cellular automata, complex adaptive ystems, evolutionary computation, social and natural sciences,
mapping passenger flow, manufacturing military combat scenarios, high performance computing |
Java |
| IDEA |
M |
M |
Open Source |
Reactuve, proactive, deliberative agents |
Java IDE |
Applied sciences (knowledge based systems, multimedia, micro-grid operation, distributed network
management, ubiquitous care-support or assisted services, information retrieval) |
Java |
| InsightMaker |
M |
S - M |
GPLV3 |
Reactive Behavioural agents |
JavaScript |
Differntial equation or dynamical systems modelling, such as spatially-aware model of infectious disease
spread |
JavaScript |
| JAMEL |
L |
S |
GPL |
Reactive |
Java |
Building agent0based macroeconomic simulations |
Java |
| JAMSIM |
M |
M |
Open Source |
Agents composed as a scapes hierarchy or collectino of agents that represent basic building blocks such
as an offspring parent, or household nit |
Casper model implementation in Java |
Dynamic discrete-time policy-oriented microsimulation government projects (taxation/pensions) |
Java |
| Janus |
M |
M |
GPLv3 |
Recursive holon agent (composed of a set of structures + Various agents as extra-modules) |
Groovy, Javascript, Ruby, Python |
General purpose platform with organizational and holonic agent0based simulation layers |
Java |
| JAS |
L |
M |
GNU LGPL |
Agents/objects implemented as Java classes |
Java |
Simulations of dynamic social systems, genetic algorithms and neural networks |
Java |
| JASA |
M |
M |
GPLv2 |
Adaptive trading agents |
Java |
Simulations of computational economics |
Java |
| JAS-mine |
M |
M |
Open Source |
Agents/objects implemented as Java classes |
Java |
Simulations of data-driven models, discrete-event/continuous simulation, dynamic microsimulations of
specific processes (aging, educational choices, labor market events, houshold fomrations), statistical
analysis |
Java |
| JCASim |
L |
S |
Proprierty |
Interactive Reactive agents |
Java |
Microscopic cellular automata simulated in different lattices 1D/2D/3D |
Java |
| jES |
L |
S |
Open Source |
Objects or decision nodes based on independent piece of code or action rules and algorithms to represent
agents as avatars of actual people |
Java |
Simulations in the context of enterprise behaviour and activities |
Java |
| LSD |
M |
H |
GPL |
Agents/objects implemented as C++ classes |
C++ LSD language in Eclipse |
Economic and social science simulations; can generate multiple formats for graphs: time series,
cross-section, 2D and 3D scatter plots, frequency histograms |
C++ |
| MACSimJX |
M |
M |
Proprierty |
JADEs (Java Agent Development framework and FIPA-complian agent classes) |
C/C++ or Java |
Modelling and simulation environment integrated with Matlab-Simulink for developing dynamic, embedded,
decentralised control systems. E.g. aircraft Boeing 747 sensor unit's flight dynamics and kinematics
undergoing a complex series of manouveres using JADA (an environment for developing agents) |
C++ |
| MASON |
H |
M-H |
Open Source |
Agents/objects implemented as Java classes |
Java |
General multi-purpose 2D/3D simulations (social complexity, physical and abstract modelling, artificial
intellgince, robotics and machine learning) |
Java .Net |
| MASS |
M |
H |
Proprierty |
Agents/objects implemented as Java classes |
Java |
General purpose distributed simulations (complex social economic system, traffic situations) |
Java |
| MASyV |
H |
M |
Open Source |
Agents/objects inplemented as C class constructs |
Client simulations in C language trough GUY representatino of client simulations |
2D/3D visualisations of cellular automate |
C |
| Mathmatica (Wolfram) |
M |
M |
Proprierty |
Agents/objects implemented as class constructs |
Wolfram multi paradigm programming language and its interface with C/C++/Java |
Simulation of social and behavioural sciences, customer movements in a store, complex adaptive social
systems or articial societies. |
Wolfram Language, C, C++, Java and Mathematica |
| MATSim |
H |
E |
GPL |
Agents/objects implemented as Java classes |
Java |
Simulations of transport mobility systems and Geographical Informatino Systems (GIS) Based evacuation
scenarios |
Java |
| MESA |
M |
S - M |
Apache 2.0 |
Agents as class constructs (having a unique identifier consisting of variable and actions) |
Python |
General purpose artifical life related simulations (Basically, Meas is a Python 3 based alternative to
Netlogo, Repast, or MASON) |
Python |
| Mimosa |
M |
M |
LGPLv2, CIRAD |
Agents/objects implemented as java classes |
Java |
Building conceptual models for running the economic, ecological, social simulations |
Java |
| MIMOSE |
M |
M |
GPL |
Agents/objects implemented as java classes |
A model description language GUI |
Simulation in social sciences, epidemiology, eductation/research |
Java |
| MOBIDYC |
L |
S |
GPL |
Agents/objects implemented as class constructs |
Smalltalk |
Academic simulations in ecology, cellular automata, biology, and environment |
Smalltalk in VisualsWork (Cincom Systems) |
| Mobility Testbed |
M |
M |
GPL |
Agents/objects implemented as class constructs |
Java |
Simulations for transportation networks, activities, life-cycles and mobility. Multi-modal route and
journey planning services |
Java |
| Modgen |
M |
M |
Proprierty |
Agents/objects implemented as linked actors having specific characteristics as states/events |
C++ Modgen Language |
Dynamic social science microsimulations for the socio-economic and demographic development of societies
|
Microsoft Visual Studio |
| NETLOGO |
L |
M |
GPL |
Active objects with simple goals implemented as mobile agents (tutles, patches, links and the observer)
|
NetLogo Language |
2D/3D simulations in social and natural sciences, teaching/research |
Scala code compilation to Java byte-code |
| OBEUS |
M |
M |
Proprierty |
Agents/objects implemented as C++ classes |
Microsoft.NET languages C#, C++, Visual Basic |
Simulations of Geographic Automata Systems (GAS) or urba or regional planning areas. |
Microsoft.NET framework |
| Pandora |
M |
H |
Proprierty |
Agents/objects implemented as C++/Python classes |
Python or C++ |
High-performance computing environments, GIS support, social and environmental phenomena archeaology
|
Microsoft.NET framework |
| PDES-MAS |
H |
E |
Open Source |
Situated agents as MPI-based agent Logical Processes ALPs implemented as C++ classes |
C++ |
Complex adaptive systems, social and natural sciences, mapping passenger flow, manufacturing military
combat scenarios, high performance computing |
C++ |
| PedSim |
L |
S |
GPL |
Agents/objects implemented as C++ classes |
C++ |
Simulation system and library for microscopic pedestrian crowd mapping |
C++ |
| PS-I |
L |
S |
GPLv2 |
Agents/objects implemented as class constructs |
Models Library available, declarative model specification language; TCL/TK scripts to apply graphic
effects |
Simulations of political phenomena, cultural, psychological, administrative, geographical, and other
social factors |
C |
| Repast-J |
H |
H |
BSD |
Reactive/BDI object-oriented agents |
Java; C# managed C++ Lisp Prolog Visual Basic .NET python |
Simulations of social networks and integrated support for GIS, genetic algorithms |
Java/C# |
| Repast HPC |
M - H |
E |
BSD |
Reactive/BDI object oeriented agents |
Standard or Logo-styel C++ |
Simulations incomputational social sciences, cellular automata, complex adaptive systems. |
C++ using MPI for parallel Operations + Boost C++ portable source libraries |
| Repast Simphony |
H |
H |
BSD |
Reactive/BDI object-oriented agents |
Java, Groovy, ReLogo (Repasts's NetLogo-like language) |
2D/3D simulations in social sciences, consumer products, supply chains, GIS, cellular automata, complex
adaptive systems |
Java |
| Scratch |
L |
S |
GPLv2, CC-BY-SA 2.0 License |
Sprites or objects encapsulating state and behaviour |
Programming scripts made by snapping graphical chunks/blocks in the form of stacks |
Self-directed creative learning software for students and educators to make 2D/3D animated games in
social sciences, geography, mathematics, linguistics, arts, computer science |
Squek (An open0source programming environment based on Smalltalk) |
| SeaS |
M |
S |
EULA |
Agents/objects implemented as C++ classes |
Tactical Programming Language TPL |
2D/3D simulations of complex adaptive systems, military war-fighting scenarios |
C++ |
| SeSam |
L |
H |
LGPL |
Agents/objects implemented as java classes |
Visual Modelling Language |
Simulations in social sciences (logistics, production, traffic, passenger flow, healthcare, biology,
urban planning), research/teaching |
Java |
| SimAgent |
H |
H |
MIT/XFREE86 |
Reactive, Deliberative, Cognitive agents |
Robust extensible multi-purpose coding format which support programming in Prolog, Common Lisp or
standard ML |
Simulations in research/education social sciences (biology, psychology) evolutionary computation |
Poplog |
| SimBioSys |
M |
M |
ALA |
Agents/objects implemented as C++ classes |
class librearies available in C++ |
Evolutionary simulations in biological and social sciences |
C++ |
| SimEvents(Matlab) |
M |
M - H |
Proprierty |
Collectino of independent object oeriented agents/entities interacting via discrete events |
SimEvents with Matlab Simulink and stateflow functions libraries, toolboxes and add-ons in MATLAB coding
syntax |
Simulations to optimize supply chain processes for manufacturing and operations, forecasting, capacity,
planning aerospace, automotive mission plans. |
C, C++, Java, Matlab |
| Simio |
M |
M - H |
Proprierty |
Agents as objects characterized by properties states and behaviours |
Standard object libraries available built-in GUI |
2D/3D simulations in advanced predictive analysis tourist flow, manufacturing, military solutions,
production, scheduling, transportation, logistics, supply chain, mining, industry, healthcare,
maritime/ports airfreight services, optimizations with OptQuest |
C# |
| SimJr |
L |
S |
BSD |
Cognitive agents |
JavaScript |
Simulations of air and ground forces, military scenarios, different aspects of human behaviours or
actions modelling, command and control modules intelligence analysis and informatino visualisation. |
java |
| SimSketch |
L |
S |
Proprierty |
Reactive Behavioural agents |
Java Web Start (JavaWS) |
Educational relevant scientific phenomena for young learnerns |
Java |
| Simul8 |
M |
M - H |
Proprierty |
Agents as physical logical or activity-based objects |
Visual Logic |
2D/3D simulations in education healthcare, manufacturing, logistics, contact centre or client-based
services, supply chains, capacity planning, administrative workflows, optimization with OptQuest plugin
|
Visual Logic Code |
| SOARS |
L |
S |
Open Source |
Role-Based Agents |
Javascripts |
Simulations of social, business, public health and organizational system, GIS, epidemiology |
Java |
| StarLogo |
L |
S |
Clearthrough Software License V1.0 |
Procedural agents having a range of potential functions |
Template wizzard available for creating different types of active objects or turtles with simple goals
|
Simulation in social and natural sciences, education, for depicting the behaviour of decentralized
models (bird flocking, traffic jamming, and ant colony formations) |
Java/YoYo |
| StarLogo TNG |
L |
S |
Proprierty |
Procedural agents having a range of potential functions |
StarLogo TNG block based scripting - GUI |
3D simulations of educational models and video games |
OpenGL |
| Sugarscape |
L |
S |
GPL |
Agents/objects implemented as java classes |
Java |
Simulations in social sciences, cellular automata, education |
Java |
| Swarm |
H |
E |
GPL |
Collection (swarms) of independent object-oriented agents interacting via discrete events |
Objective-C; Swarm code; Java |
Biological sciences; supply chain optimization and logistics; consumer behaviour with social network
effects; distributed computing workforce/traffic/portfolio management |
Java, Objective-C |
| TerraME |
M |
M |
Open Source |
Agents/objects implemented as C++/Lua scripts classes |
TerraMe's modelling models libraries and API |
Multi-paradigm spatial dynamical systems, cellular automata, GIS, terrestrial systems, land change,
hydrologic, species dispersion, climate models |
C++/Lua |
| UrbanSim |
M |
H |
GNU |
Agents/objects implemented as class constructs of Python-based custom domain-specific programming
language "Tekoa" |
Model librry available on Opus-based GUI |
Support planning, analysis and modelling of urban developmnet/land use/ transportation/ housing
affordability/ environmentally sensitive habitats and greenhouse gas emissions |
Opus with base language Python and Numpy as numerical library |
| VisualBots |
L |
S |
EULA |
Agents/objects implemented as class constructs |
GUI in Excel VBA |
Simulations in social and political science, economics, emergent behaviours, cellular automata,
educations and teaching |
Microsoft.NET framework |
| VSEit |
L |
M |
Proprierty |
Agents/objects implemented as java classes |
Java |
Social sciences (ecology and economy), object-oriented stochastic event-drive simulations, cellular
automate) and education and teaching |
Java |
| Xholon |
M |
M |
LGPL |
Reactive Behavioural agents |
XML/JAVA support for UML; Turtle geometry using an optional NetLogo-like syntax |
2D/3D simulations in cellular automata, biology, biochemistry, statistical modelling, controllers and
other embedded systems. |
Java |


- onActivityResult(int, int, Intent) - Method in class com.example.booktracker.ui.AcceptRequestFragment
-
- onActivityResult(int, int, Intent) - Method in class com.example.booktracker.ui.add.AddFragment
-
This brings the user to the scan barcode or gallery page
depending on the requestCode.
- onActivityResult(int, int, Intent) - Method in class com.example.booktracker.ui.BorrowingFragment
-
Implements the functions and result of the scanning activity
where users can begin the book return process
- onActivityResult(int, int, Intent) - Method in class com.example.booktracker.ui.EditPageFragment
-
Implements the functions of the barcode scan and picking images from the gallery
based on the resultCode passed in
- onActivityResult(int, int, Intent) - Method in class com.example.booktracker.ui.LentOutFragment
-
Implements the scan activity
Allows owner to scan their books to have it returned
- onActivityResult(int, int, Intent) - Method in class com.example.booktracker.ui.notifications.NotificationRequestedTabFragment
-
Handles what happens when a user selects to scan a book
Allows user to scan book to confirm receival and change status in database accordingly
- onBindViewHolder(RecyclerViewAdapter.MyViewHolder, int) - Method in class com.example.booktracker.AvailableRecyclerViewAdapter
-
Sets the image for each available book as well as the title
- onBindViewHolder(RecyclerViewAdapter.MyViewHolder, int) - Method in class com.example.booktracker.BookRecyclerViewAdapter
-
Sets up the attributes of each item and their listeners
- onBindViewHolder(RecyclerViewAdapter.MyViewHolder, int) - Method in class com.example.booktracker.RecyclerViewAdapter
-
Sets the image of the book
- onCreate() - Method in class com.example.booktracker.App
-
- onCreate(Bundle) - Method in class com.example.booktracker.BookSearchActivity
-
Sets up the layout for the BookSearchActivity
Sets the TextViews and list items using the RecyclerView
- onCreate(Bundle) - Method in class com.example.booktracker.CreateAccount
-
- onCreate(Bundle) - Method in class com.example.booktracker.MainActivity
-
Sets up the layout
as well as listeners for the buttons
- onCreate(Bundle) - Method in class com.example.booktracker.MainScreen
-
- onCreate(Bundle) - Method in class com.example.booktracker.ScanBarcodeActivity
-
- onCreate(Bundle) - Method in class com.example.booktracker.SearchProfile
-
Sets up the view/layout of the SearchProfile
where users can view the profile of a searched user
- onCreate(Bundle) - Method in class com.example.booktracker.ui.AcceptRequestFragment
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.BookPageFragment
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.BorrowingFragment
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.EditPageFragment
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.LentOutFragment
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.notifications.NotificationMessagesTabFragment
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.notifications.NotificationRequestedTabFragment
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.notifications.NotificationsFragment
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.notifications.PickupLocation
-
- onCreate(Bundle) - Method in class com.example.booktracker.ui.RequestPageFragment
-
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.AcceptRequestFragment
-
Sets up the layout for the AcceptRequestFragment
where owners can decide to accept/decline requests
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.add.AddFragment
-
This sets up the layout for the fragment
Sets up click listeners for buttons
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.BookPageFragment
-
Sets up the layout for the BookPageFragment
Sets up the function of the buttons
Also determines if certain buttons should be visible based on book status
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.BorrowingFragment
-
Sets up the layout for the BorrowingFragment
Where borrower can see a list of books they've borrowed
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.dashboard.DashboardFragment
-
This sets up the layout for the dashboard fragment
Sets up on click listeners for buttons in this page
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.EditPageFragment
-
Sets up the layout in the EditPageFragment
where users can edit descriptions of their book and change
pictures
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.home.HomeFragment
-
This sets up the layout in the home fragment
Sets up all functions of the buttons on click
Sets up the initial texts for TextView and edit boxes
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.LentOutFragment
-
Sets up the layout of the LentOutFragment
Where owners can see books they've lent out and
scan books that have been returned
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.notifications.NotificationMessagesTabFragment
-
Sets up the layout for the Alerts tab
set up the delete button for each message
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.notifications.NotificationRequestedTabFragment
-
Sets up the layout of the requested tab
where users can see the requests they've made
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.notifications.NotificationsFragment
-
Sets up the layout for the notifications fragment
Shows the tabs inside of the fragment
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class com.example.booktracker.ui.RequestPageFragment
-
Sets up the layout for the RequestPageFragment
Where borrowers can view details of a book and request a book
Sets the functions and visibility of the request button depending on status
- onCreateViewHolder(ViewGroup, int) - Method in class com.example.booktracker.AvailableRecyclerViewAdapter
-
Links the view to the desired xml file for the item to be listed
- onCreateViewHolder(ViewGroup, int) - Method in class com.example.booktracker.BookRecyclerViewAdapter
-
Links the view to the xml file for the layout of the item
- onCreateViewHolder(ViewGroup, int) - Method in class com.example.booktracker.RecyclerViewAdapter
-
Determines the layout of each item by referring to the cardview_book_item xml file
- onMapReady(GoogleMap) - Method in class com.example.booktracker.ui.notifications.PickupLocation
-
Manipulates the map when it's available.
- onPostExecute(String) - Method in class com.example.booktracker.FetchBook
-
Handles the results on the UI thread.


Thi is a picture from my Telegram signal group and they said the market used to crash every mid-term of January, according to the chart history this is quite true. If you have noticed the bottom of every crash is always higher than the last peak, a sign of crypto overall market is growing over time.
Some even said it is due to the Lunar New Year where the Chinese cash out crypto and spend them for the coming festive season. Funny but it might make some sense too, considering the Chinese were the big portion of the market cap.
Here are the things to do for people who:
Love crypto but
holding a big bag of altcoins
Now you can stay away from trading and chart monitoring for a while. Call up your buddies, grab the beers sit back and chill. All you have to do now is HODL and wait for it all to recover.holding more BTC in hand
This is the best time to shop the altcoins market with average 20% discount. For sure you have some favorite coins on the market right? Grab them now.do not own or own very less crypto, pocket full with fiat
You are the winner. Pour that fiat into exchanges or buy the coins from your panic selling peers.
Hate crypto
You can laugh at us now, really.
难得的市场大崩溃来啦，币圈可以分为以下几类人人们，他们应该：
热爱加密货币：
- 而手上全都是山寨币
现在你可以把价格表和交易界面暂时关了，拿出手机叫上三五好友，拿起啤酒 chill 一 chill。过几天再回来一切就会正常了。
- 而手上多数为比特币
有心仪的山寨币？现在就是入手最佳时机，他们多数都平均在七折刀八折左右的价格。
- 而手上多数为现金
恭喜你，现在就是最佳入场的时候。想必你已经磨拳擦脚很久了，提起篮子，买买买吧。
厌恶加密货币：
你可以又开始嘲笑我们了，真的。
This page is synchronized from the post: ‘Crypto January sales 大促销’


This article has no additional data. Scenarios are drawn from the IPCC AR5 Scenario Database, hosted by IIASA at https://tntcat.iiasa.ac.at/AR5DB/. Electronic supplementary material is available online at rs.figshare.com.


| DOSE: |
600 mg |
oral |
DXM |
(liquid) |
| |
4 hits |
smoked |
Cannabis |
(plant material) |
I had just had a gratifying encounter with a very cute blond a grade below me that day around the afternoon. Dinner and study hours went by fast.  I wasn't very excited. I thought I had done my share of DXM a few times. So three hours later, I tiptoe upstairs to his room and some Grateful Dead (Europe 72) was playin softly in the background. It was around February. Valentine's day, my birthday, was coming up soon. I was in a bit of a ditzy, romantic mood. Todd was feeling reminiscent. It rubbed off on me that night. I waited in his room while he prepared two bags worth of mashed up sucrets stirred into warm water. He said most of the DXM had crystalized to the bottom. I downed the liquid anyway.
The warm beverage sweetly seduced my insides. I kept thinking about that blond girl and then began going on about love in general. I told him about my first love from age twelve; 'Laniea'. She was a gorgeous red head. Feelings were mutual for a while. Just thirty minute later, with all this warmth and love in me and the room, a former student had just sold a dime to Todd. The previous year that guy was one of my favorite people on campus. I started thinking about him as we hit from the chronic.
The bud was great. It was my first time I've ever done weed and DXM together. It felt great. The effects the day after continued to sooth my soul. I said something to that cute blond and opened my heart to her. It felt very uplifting and in a way relieving. I felt like I had been tickled with a feather all night the previous night I did all that stuff.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


package main
import ("bufio"
"fmt"
"os"
"strconv"
"strings"
)
func main() {
reader := bufio.NewReader(os.Stdin)
var a [4]int
fmt.Println("Enter the four number")
for counter := 0; counter < 4; counter++ {
fmt.Println("Value of", counter+1, "number:")
number, _ := reader.ReadString('\n')
number = strings.TrimSpace(number)
intNumber, _ := strconv.Atoi(number)
a[counter] = intNumber
}
var large int
large = a[0]
for index, value := range a {
fmt.Println("Index:", index, "Value:", value)
if value > large {
lagre = value
}
}
fmt.Println("Largest number:", large)
}
Enter the four number
Value of 1 number:
3
Value of 2 number:
122
Value of 3 number:
14
Value of 4 number:
45
Index: 0 Value: 3
Index: 1 Value: 122 large: 3
Index: 2 Value: 14 large: 122
Index: 3 Value: 45 large: 122
Largest number: 122
In this program, we find the largest number.
We take the number from user as an input.
And as an output we find the largest number.


EYE FOR AN EYE A film review by Ben Hoffman Copyright 1996 Ben Hoffman
Who has not at some period in one's life yearned for revenge? Picture the parents of the two people who were killed in the case of O J Simpson. Surely, despite the jury's finding of "Not Guilty," how difficult it must be for the parents to restrain themselves from doing him harm?
In EYE FOR AN EYE, the older daughter of Karen McCann (Sally Field) is raped and murdered. On a technicality, despite evidence that Robert Doob (Kiefer Sutherland), the accused, is set free by the judge. Everyone is angry but only Karen decides to take matters into her own hands. If her husband (2nd marriage) Mack (Ed Harris) will not take her seriously; if the detective (Joe Mantegna) says he is helpless, then who but Karen can track down the whereabouts of the free murderer and revenge her daughter's death?
Despite the fine cast, the movie has a tendency to slow down frequently. The story is hardly original. Whatever reason there is for seeing the film lies mostly in the acting; Fields, as always, does a magnificent characterization as the distraught, angry parent. Others in the cast do well by their smaller roles.
Directed by John Schlesinger
2.5 Bytes
4 bytes = Superb 3 bytes = Too good to miss 2 byte = So So 1 byte = Save your money
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Sharjah Asset Management Holding (SAMH), the investment arm of the government of Sharjah, and Apleona HSG Facility Management, a German leading company in FM and Technical Services have founded a joint venture in 2016 to provide various technical related services to all types of properties within the public and private sectors in the Emirate of Sharjah.
The scope of the JV includes Integrated Facility Management, Small and Medium construction project management, HSE related scopes such as Fire Prevention strategies, HSE inspection and Training, Security Systems integration, landscaping, etc.
To be among the best facility management service providers in the Middle East, influencing the over all FM industry in high quality and modern practices.
Utilizing the latest worldwide technologies and the best human resources to achieve sustainable business and an enviable reputation in the local and regional markets.


--- layout: page title: Teaching tags: teaching ---
I'm lecturing the following courses within the Department of Engineering Science.
This course is really less esoteric than its name might suggest, providing a grounded review of probabilistic tools relevant for many applications in data science and predictive analytics. In particular, the course will cover model comparison, the value of information, Gaussian processes. Read more.
This course covers maximum likelihood estimation and compares against Bayesian inference. The course concludes by introducing decision theory and classification. Read more.
This course will be taught within the AIMS CDT. It will include an introduction to probability theory, including various properties of distributions and their representation as belief networks. It covers maximum likelihood estimation and compares against Bayesian inference, before introducing decision theory and classification. The course continues by covering Gaussian processes. Read more.
I am the senior Engineering Science tutorial fellow at Exeter College, Oxford and external tutor at St Peter's College, Oxford. I deliver small class (two-three students) teaching of a wide range of subjects in Engineering Science, including Information, Electrical and Electronic Engineering, and Mathematics.
Tutees, you probably want this page.
Along with my colleagues Prof Stephen J Roberts I supervise DPhil (PhD) students in the Machine Learning Research Group.
Machine learning is a rapidly developing field that lies at the intersection of statistics and computer science. Its growth can be partially attributed to the vast quantities of data (known as "big data") that are now routinely being captured in science and industry. Machine learning aims to find means of taking decisions upon data that are both computationally tractable and statistically principled. This course will briefly introduce core concepts in machine learning: supervised vs unsupervised learning; nearest neighbour methods; the challenge of generalisation; and approximate inference (in the form of Laplace's method and variational methods). Read more.
This course provides a brief introduction to object-oriented design, along with an introduction to C++. It covers: encapsulation; constructors; implementation and interface; functions and operators, inheritance and composition; polymorphism; and templates. Read more.


{% extends "base.html" %} {% load goldenbraid_extras %} {% block title %}Domestication for synthesis Result Page{% endblock title %} {% block content %}
Category:{{category}}
Prefix:{{prefix}}
Suffix:{{suffix}}
Sequence for synthesis:
{{seq_syn|letterwrap:80}}{% if user.is_authenticated %} +Add part {%else%}
If you wish to use this construct in a new assembly you should incorporate it into the GB database through the Add GB_Element page. You will need to log in first.


Class Engines
Class Engines engines
- Phalcon\Mvc\Model
- Models\Engines
Namespace: Models
Package: Application\Models
Author: Stanislav WEB | Lugansk<EMAIL_ADDRESS>Version: 1.0
Since: PHP >=5.4
Located at Models/Engines.php
Package: Application\Models
Author: Stanislav WEB | Lugansk<EMAIL_ADDRESS>Version: 1.0
Since: PHP >=5.4
Located at Models/Engines.php
public
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public
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public
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public
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public
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public
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public
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public
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public
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public
integer
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public
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public
string
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public
string
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public
string
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public
string
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public
integer
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public
integer
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public
integer
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public
integer
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public
|
string |
TABLE
Absolute model name |
#
'\Models\Engines'
|
public static
array
|
$statuses
Engine statuses |
#
[
0 => 'Off',
1 => 'On',
2 => 'Pending'
]
|
protected
integer
|
$id
|
|
protected
string
|
$host
|
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protected
string
|
$name
|
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protected
string
|
$description
|
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protected
string
|
$code
|
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protected
integer
|
$currency_id
|
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protected
integer
|
$status
|
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protected
datetime
|
$date_create
Datetime create |
|
protected
timestamp
|
$date_update
Timestamp add |


§21. Ayes and noes. That the ayes and noes of the members on any question shall, at the desire of one-fifth of the members present, be entered on the journal.
§§21-24, with many other §§, are referred to in 16 H. 245.


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RISHABH
Developer
PURSUING BACHELOR'S DEGREE IN COMPUTER SCIENCE & TECHNOLOGY
MALAVIYA NATIONAL INSTITUTE OF TECHNOLOGY, JAIPUR
Contact Details
Mail at
<EMAIL_ADDRESS>Connect on
LinkedIn
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Fork me at
Github
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RITESH
Developer
PURSUING BACHELOR'S DEGREE IN COMPUTER SCIENCE & TECHNOLOGY
MALAVIYA NATIONAL INSTITUTE OF TECHNOLOGY, JAIPUR
Contact Details
Mail at
<EMAIL_ADDRESS>Connect on
LinkedIn
.
Fork me at
Github
.
NARESH
Developer
PURSUING BACHELOR'S DEGREE IN COMPUTER SCIENCE & TECHNOLOGY
MALAVIYA NATIONAL INSTITUTE OF TECHNOLOGY, JAIPUR
Contact Details
Mail at
<EMAIL_ADDRESS>Connect on
LinkedIn
.
Fork me at
Github
.


Package algorithms.optimization
Class LinearProgramming.FormTuple
- java.lang.Object
-
- algorithms.optimization.LinearProgramming.FormTuple
-
- Direct Known Subclasses:
LinearProgramming.SlackForm
,LinearProgramming.StandardForm
- Enclosing class:
- LinearProgramming
public abstract static class LinearProgramming.FormTuple extends java.lang.Object
example Standard Form: Find numbers x1,...xn: objective : maximize c^T*x = summation_j=1:n(cj*xj) constraints : subject to: A*x .leq. b = summation_j=1:n(aij*xj) .leq. bi for i=1:m constraints : xj .geq. 0 for j=1:n the later is a nonnegativity constraint where c1...cn; b1,...bm; and aij are real numbers.
-
-
Constructor Summary
Constructors Constructor Description FormTuple(double[][] a, double[] b, double[] c, double v)
-
Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description abstract double[]
computeBasicSolution()
using the present forms, sets all rhs x's to 0 to solve for the lhs x's.void
convertMinimizationToMaximiation()
convert the c coefficients from minimization coefficients to maximization coefficients by multiplying them by -1.abstract double
evaluateObjective()
java.lang.String
toString()
-
-
-
Constructor Detail
-
FormTuple
public FormTuple(double[][] a, double[] b, double[] c, double v)
- Parameters:
a
- mXn matrix of constraint coefficients. Careful with the signs of the values for the SlackForm. see eqn (29.43) of Cormen, Leiserson, Rivest, and Steinx_i = b_i - summation_j(a_i_j*x_j) for i in bIndices.
b
- m-dimensional vector of constraint inequalitiesc
- n-dimensional vector of objective coefficients.v
- an optional term sometimes present in the objective. can be 0 if no v is used.
-
-
Method Detail
-
convertMinimizationToMaximiation
public void convertMinimizationToMaximiation()
convert the c coefficients from minimization coefficients to maximization coefficients by multiplying them by -1.
-
evaluateObjective
public abstract double evaluateObjective()
- Returns:
-
computeBasicSolution
public abstract double[] computeBasicSolution()
using the present forms, sets all rhs x's to 0 to solve for the lhs x's. The x vector is returned.- Returns:
-
toString
public java.lang.String toString()
- Overrides:
toString
in classjava.lang.Object
-
-


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--- title: J date: 1998-07-01T10:00:00.000Z homePage: J city: J-ville thinkLotrRules: Of course ---
Jeremy


Consent for Facility Booking Study
-
Protocol title
Study on web user interface of a facility booking system.
-
Principal Investigator and co-investigator(s)
Principal Investigator:
Name: Asst. Prof. Brian Lim
Email: brianlim@comp.nus.edu.sgCo-investigator(s):
- Paul Tay Jun Bao
- Chong Sai King
- Fan Jia Huan
- Fu Rong
- Tian Yuan
Organization:
National University of Singapore (NUS)
-
What is the purpose of this research?
You are invited to participate in a research study that aims to understand how different user interface designs can influence user performance for facility booking. This information sheet provides you with information about the research. Read the information below before deciding whether or not to take part.
-
Who can participate in the research? What is the expected duration of my participation? What is the duration of this research?
You can voluntarily participate in this research, if you:
- have a good understanding of English
- have never used NUS UTown* facility booking system before
- are using desktop computer / laptop
* "NUS UTown" is referring to the University Town located in National University of Singapore
The expected duration of the participation is around 30 minutes.
The duration of the research will be 2 months.
-
What is the approximate number of research participants involved?
There will be approximately 30 participants involved in this study.
-
What will be done if I take part in this research study?
If you have passed the screening questions, you will
- answer pre-questionnaire
- complete 12 series of room booking tasks
- answer questionnaire at the end of each task
- answer post-questionnaire
-
How will my privacy and the confidentiality of my research records be protected?
No Personally Identifiable Information (PII) will be collected during the research. As you interact with the facility booking user interface, the following data will be tracked and collected for further analysis:
- Amazon MTurk Worker ID
- IP Address
- Browser Meta Info
- Browser Type
- Browser Version
- Operating System
- Screen Resolution
- Flash Version
- Java Support
- User Agent
- User Activity
- Mouse Click
- Task Duration
The data can only be accessed by the Principal Investigator and co-investigators for academic and research purposes, and will not be disclosed to any third parties.
All data collected will be kept in accordance to the University’s Research Data Management Policy. Research data used in any publication will be kept for a minimum of 10 years before being discarded.
-
What are the possible benefits to me and to others?
By completing the survey successfully, there will be a renumeration of $1.85 per participant.
There will be no renumeration if the participant fails to:
- Meet the participation requirements stated in Section 4
- Answer screening questions correctly
- Complete the entire survey including all tasks or activities
IMPORTANTYou can only do this survey ONCE - any additional attempts beyond the first will not be paid. Your HIT will not be approved if multiple entries from the same Amazon MTurk Worker ID are detected.
-
Can I refuse to participate in this research?
Yes, you can. Your decision to participate is voluntary. You can withdraw from the research at any time without giving any reasons. By leaving the Qualtrics survey, all your data collected will be discarded. No penalty will be given.
-
Whom should I call if I have any questions or problems?
Please contact the Principal Investigator, Asst. Prof. Brian Lim through email<EMAIL_ADDRESS>for all research-related matters.


{% extends 'core_layout.html' %} {% load static %} {% block title %} Educational Resources {% endblock title %} {% block body %}
The Categories of resources available on the site are listed below as Cards. Each “Category” contains two main sections:
The first being the “blog” section: A series of posts relevant to a certain topic indexed by date on a page. There is very little difference between this section and a conventional blog app.
The second section essentially being a catalogue of other content such as books, pdfs and research papers associated with the category. This section is once again a conventional searchable catalog app.
{{card.card_description}}


Request
ly
-
Play with Network Requests
View on GitHub
Requestly is deactivated.
You can activate it by using Right+Click and hit Activate Requestly


procedure Contract(Src, Dst: TCustomBitmap32; Kernel: TIntegerMap; CenterX, CenterY: Integer);
Contract performs rasterization using the TContracter sampler. The Kernel parameter specifies a weight matrix which is centered at the coordinated (X + CenterX, Y + CenterY) for each pixel coordinate (X, Y).
Output pixels are computed from the formula
where f corresponds to the source bitmap and b corresponds to the kernel (formally described as a structuring element).


Located just 5 miles across the channel from Isla Mujeres.
Position 21° 10'55"N, 86° 48'17"W (wharf)
See Noonsite/Mexico/Clearance page for full details.
This is a better option for clearing into Mexico. You can ask to tie up temporarily at Marina Hacienda del Mar, just to clear in. It is located about a mile from the a big round CIS office, part of the Puerto Juarez Capitania near the ferry terminal. Clearance takes an hour or so. Charges are about $20, the tip is about $50. You don't need an agent. They're very friendly, speak English and take credit cards.
Last updated November 2012.


Intro to Decorators in Python
@EdmontonPy
Matthew Darling
August 12th, 2013
Matthew Darling
August 12th, 2013
Preface
Fair warning: I may omit details/tell white lies (at first)
Also, pretty much all my examples are barely-modified versions of stuff I found online - the original links should all be in my prep file under the "Content notes" section
What a decorator is
- Decorators are functions that modify other functions (white lie: you can actually use any callable, ie classes - see the link to Python Patterns, Recipes, and Idioms)
- You can use them on your own functions, and on functions from an imported module
The long way
When you're using a decorator, what you're really doing is this:
function = cache(function)
How to use a decorator that someone else wrote
Since there are a lot of good decorators available as PyPI packages or code snippets of dubious quality, you can get a lot of cool stuff without ever writing your own decorators.
So how do you use them?
@cache def function(): return really_complex_result()
And you're done! Pat yourself on the back
OOP examples
- @classmethod
- @staticmethod
- @abc.abstractmethod in Python 3+
- @properties (a transparent alternative to getters/setters - take that, Java!)
How to decorate a function with no arguments
def verbose(function): print("I'm the decorator - my argument must be a function") def wrapper(): print("This is the wrapper - it calls the original function") print("You called", function.__name__) result = function() print("Now we return the result of the function call") return result return wrapper def hello(): print("Hello") print("Before we call the decorator, we've defined", hello.__name__) hello = verbose(hello) hello() print("After calling the decorator, the function's name is", hello.__name__)
Output:
" Before we call the decorator, we've defined hello I'm the decorator - my argument must be a function This is the wrapper - it calls the original function You called hello Hello Now we return the result of the function call After calling the decorator, the function's name is wrapper"
How to decorate a function with known arguments
If you know exactly how many arguments your function takes, you can hardcode the number of arguments for the wrapper function:
def elementwise(function): def wrapper(arg): if hasattr(arg,'__getitem__'): #is a sequence return type(arg)(map(function, arg)) else: #Note that wrapper receives the arguments meant for "function" #If "function" required more than one argument, this wouldn't work return function(arg) return wrapper @elementwise def compute(x): return x**3 - 1 print(compute(5)) print(compute([1,2,3])) #passing a list print(compute((1,2,3))) #passing a tuple
Output:
" 124 [0, 7, 26] (0, 7, 26)"
How to decorate a function with unknown arguments
But if you want your generator to be more general, you need to support any possible combination of arguments:
import time def benchmark(function): """A decorator that prints the time a function takes to execute.""" def wrapper(*args, **kwargs): #This function will accept any arguments t = time.clock() result = function(*args, **kwargs) print("The function", function.__name__, "took", time.clock()-t) return result return wrapper @benchmark def waste_time(wait, test="nothing", extra="Read all about it!"): time.sleep(wait) print("Experimenting with:", test) print("Breaking news:", extra)
Testing
waste_time(3) waste_time(3, test="decorators") waste_time(3, extra="this is best presentation I've seen all day")
Output:
"Experimenting with: nothing Breaking news: Read all about it! The function waste_time took 2.99943593545 Experimenting with: decorators Breaking news: Read all about it! The function waste_time took 2.99978290028 Experimenting with: nothing Breaking news: this is best presentation I've seen all day The function waste_time took 2.9998539511"
How to write a decorator factory
A decorator with arguments means: "wrap this function with the output of the decorator factory"
Here's how it works:
#call example with the return value of test example(test("this is a test")) #call the return value of test_factory with "this is a test" test_factory(args=[])("this is a test") #Factory returns a function #Call its return value with "this is a test"
Similar to:
decorator_factory(argument)(function) #Call decorator_factory(argument), then call its return value with function
Very simple decorator factory with Flask
Courtesy of this blog post, here's an example:
from Flask import flask app = Flask(__name__) #the app.route decorator has an argument #technically, you could call it a decorator factory @app.route('/') def index(): return "Hello, EdmontonPy!" if __name__ == "__main__": app.run(debug = True) #we have no main function - we delegate to Flask
Real example of a decorator factory
def deprecated(replacement=None): print("You've called the deprecated factory with", replacement.__name__ if replacement else None) def decorator(old_function): print("The decorator function received", old_function.__name__, "as its sole argument") def wrapper(*args, **kwargs): msg = "{} is deprecated".format(old_function.__name__) if replacement is not None: msg += "; use {} instead".format(replacement.__name__) print(msg) return replacement(*args, **kwargs) else: return old_function(*args, **kwargs) return wrapper return decorator
Example usage
print("Calling the factory with no arguments") test = deprecated() def sum_many(*args): return sum(args) print("Calling the factory with a replacement function") many_deprecated = deprecated(sum_many) print("The factory returned", many_deprecated.__name__) #Equivalent: @many_deprecated #def sum_couple ..etc.. @deprecated(sum_many) def sum_couple(a, b): return a + b print("Going to call sum_couple now") print(sum_couple(2, 2))
Output:
"Calling the factory with no arguments You've called the deprecated factory with None Calling the factory with a replacement function You've called the deprecated factory with sum_many The factory returned decorator You've called the deprecated factory with sum_many The decorator function received sum_couple as its sole argument Going to call sum_couple now sum_couple is deprecated; use sum_many instead 4"
functools.wraps and the decorator module
Remember how we saw "After calling the decorator, the function's name is wrapper"?
You'll never be able to debug that, because every decorated function will have a __name__ of "wrapper"
Solutions: functools.wraps, or the decorator module
- functools.wraps is lightweight and does the most important things
- The decorator module offers a bit of extra functionality (check the docs)
- But which you use is more a question of personal/aesthetic preference
functools example
from functools import wraps def verbose(function): print("I'm the decorator - I can only take one argument") @wraps(function) def wrapper(*args, **kwargs): print("This is your wrapper speaking") result = function(*args, **kwargs) return result return wrapper @verbose def hello(): print("Hello") hello()
Output:
" I'm the decorator - I can only take one argument This is your wrapper speaking Hello"
decorator module example
from decorator import decorator @decorator def verbose(function, *args, **kwargs): print("I'm the wrapper") result = function(*args, **kwargs) return result @verbose def hello(): print("Hello") hello()
Output:
" I'm the wrapper Hello"
Decorators are often complicated
Chris McDonough, author of Pyramid, thinks that there are often simpler ways to accomplish what decorators do - namely, including the same code in the body of your function
How important is the decorator?
It really depends on how crucial the functionality of the decorator is to the job the function does
Example: If you always want to do some logging in a function, put it in the function.
If you're turning on logging temporarily, or it's optional - then a decorator you can disable makes sense.
Decorators in frameworks
Decorators are good for "frameworks" - eg web frameworks like Flask, Django, and command line frameworks like Aaargh - where the decorator executes the user's code
In short, rather than having your own main()-like function, when you're using a framework you use their main()-like function
It then executes your code based on how you've configured it - see the next two examples
Web frameworks
from Flask import flask app = Flask(__name__) #when someone visits "http://www.examplesite.com/", #they'll see "Hello, EdmontonPy!" @app.route('/') def index(): return "Hello, EdmontonPy!" if __name__ == "__main__": app.run(debug = True) #we have no main function - we delegate to Flask
Command line programs
from __future__ import print_function import aaargh app = aaargh.App(description="A simple greeting application.") #if the program is called with "hello" as an argument, this function is called @app.cmd def hello(): print("Hello, EdmontonPy!", end="") if __name__ == "__main__": app.run(["hello"]) #again, we're delegating to aaargh
Output:
"Hello, EdmontonPy!"
Decorating other people's code
Decorators can be applied after function definition, and we can save the result with a new name:
foo = decorator(bar)
As a bonus, you can even do this to functions defined in other modules, without modifying their source code!
…well, except for methods on classes defined in the stdlib. So you can't redefine str.join (sadly - why must I write ''.join([string1, string2, string3]) when it could take a variable number of arguments?)
Also, you CAN save the result with the same name, but I think it would be local to your module, and you might be surprised what happens when code in other modules tries to use the function
Why and how decorators function
If you thought closures were pointless and academic, think again!
- Not that the accepted answer for that question will help any, but the other answers are each a little bit helpful
If you want to know more, check out Matt Harrison's Guide To Python Decorators, a $5 ebook (or ask me!)
That's not an affiliate link, it's just a really good, concise explanation of all the things that are important behind the scenes. This includes functions as first class objects and closures, which seem tangential, but actually aren't.
Closures can turn ugly, awful code (like loops with multiple exit points that require cleanup) into really nice code. A++ would use again.
Useful decorators
Top three
- Deprecation that auto-calls the new function
- Turning recursive functions into loops (neat, but rarely useful)
- Automatic caching (or for Python 3.2+, functools.lru_cach)
The rest (in no particular order)
- "Element-wise" functions
- Counting function calls, benchmarking (at the bottom)
- Abstract method decorator
- Goto decorator
- Python 3 type checking with annotations
- Immutable classes (can't be inherited from though)
- Deprecation which specifies the file and line of deprecated function
- Print the arguments of a function before calling it
- Synchronization for multi-threaded programs
- Redirecting a function's stdout
- Pre and post conditions
- Profiling and coverage analysis
- Timeout for long functions (POSIX systems only, sorry fellow Windows users :( )
- Variations of init methods that don't require any "self.x = x" junk: v1, v2, v3
Tools for writing decorators
Decorator module, as previously mentioned
The built-in functools.wraps
Venusian offers delayed decorator application, with the main goal of improving testability
A recent talk at PyCon New Zealand introduced me to a modern take on the decorator module: called wrapt, it aims to make utterly flawless decorators that work on everything. In pure Python, it's about twice as slow as the original module; with the C extension, it's actually a little bit faster. It does make your decorator's definition look a bit boilerplate-y, since all the arguments go to one function, but the functionality seems solid.
There's also a package called funcy which looks interesting, aesthetically at least. Maybe don't use it in production, but I like that you can make decorator factories without any nesting.
Things I explicitly avoided here
Using classes for decorators, class decorators (they are different), some of the finer points of decorating methods (functions defined in a class)


|
|
ObjectContainer * | _location |
| |
|
StaticObject * | _parent |
| |
|
Uuid | _uuid |
| |
|
std::vector< std::string > | _aliases |
| |
|
std::string | _short |
| |
|
std::list< Entity * > | _contents |
| |
|
std::vector< Component * > | _components |
| |
|
VNUM | _onum |
| |
|
std::string | _name |
| |
|
std::string | _desc |
| |
|
std::string | _script |
| |
|
Zone * | _zone |
| |
◆ AddAlias()
| bool Entity::AddAlias |
( |
const std::string & |
alias | ) |
|
Adds the specified alias to the object.
Aliases are other identifiers by which an object can be known. For example, a sword could be known as a sword or by a name.
- Parameters
-
| [in] | alias | the name of the alias to add. |
- Returns
- True if the alias could be added, false otherwise.
◆ AliasExists()
| bool Entity::AliasExists |
( |
const std::string & |
name | ) |
|
checks to see if the alias exists.
- Parameters
-
| [in] the name of the alias. |
- Returns
- True on success, false on failure.
◆ FromRoom()
| bool Entity::FromRoom |
( |
| ) |
|
Removes this object from the room it is in, if possible.
◆ GetAliases()
| std::vector< std::string > * Entity::GetAliases |
( |
| ) |
|
Returns a pointer to the list of aliases.
- Returns
- a pointer to a vector of strings.
◆ GetLocation()
Returns the location of this object.
- Returns
- the entities location, or nullptr if the object does not have a parent location.
◆ GetParent()
Gets the static object associated with this entity.
◆ GetShort()
| std::string Entity::GetShort |
( |
| ) |
const |
|
virtual |
Returns the short description of the entity.
The short description is what players will see when the entity is not in their inventory. For example, a sword's short description might be: A long sword lies here.
Reimplemented in Player.
◆ GetUuid()
| Uuid & Entity::GetUuid |
( |
| ) |
|
Gets the UUID associated with the entity.
◆ Identify()
| std::string Entity::Identify |
( |
Player * |
mob | ) |
|
|
virtual |
Returns stats for this object.
- Parameters
-
| [in] | mob | the player requesting identification. |
Reimplemented from BaseObject.
◆ Initialize()
| void Entity::Initialize |
( |
| ) |
|
|
virtual |
Initializes the entity after loaded.
◆ MoveTo()
Attempts to moves this object to the target
- Parameters
-
| [in] | targ | the destination where the object needs to go. Return: true on success, false if the object can not move. |
◆ SetLocation()
Sets the location of the object
- Parameters
-
| [in] | location | The object to move the entity to. |
◆ SetParent()
Sets the static object associated with this object.
- Parameters
-
| [in] | parent | the new parent for this object. |
◆ SetShort()
| void Entity::SetShort |
( |
const std::string & |
s | ) |
|
|
virtual |
Sets the entities short description.
- Parameters
-
| [in] | s | the new short description. |
The documentation for this class was generated from the following files:


All commands yield a status value on termination. This value can be tested (e.g., in most shells the variable $? contains the status of the last executed command) to see whether the command completed successfully. A zero exit status is conventionally used to indicate success, and a nonzero status means that the command was unsuccessful. (Details of the exit status can be found in wait(2).) A nonzero exit status can be in the range 1 to 255, and some commands use different nonzero status values to indicate the reason why the command failed.
Under Linux, there are GUIs (graphical user interfaces), where you can point and click and drag, and hopefully get work done without first reading lots of documentation. The traditional UNIX environment is a CLI (command line interface), where you type commands to tell the computer what to do. That is faster and more powerful, but requires finding out what the commands are. Below a bare minimum, to get started.
A session might go like
knuth login: aeb Password: ******** % date Tue Aug 6 23:50:44 CEST 2002 % cal August 2002 Su Mo Tu We Th Fr Sa 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 % ls bin tel % ls -l total 2 drwxrwxr-x 2 aeb 1024 Aug 6 23:51 bin -rw-rw-r-- 1 aeb 37 Aug 6 23:52 tel % cat tel maja 0501-1136285 peter 0136-7399214 % cp tel tel2 % ls -l total 3 drwxr-xr-x 2 aeb 1024 Aug 6 23:51 bin -rw-r--r-- 1 aeb 37 Aug 6 23:52 tel -rw-r--r-- 1 aeb 37 Aug 6 23:53 tel2 % mv tel tel1 % ls -l total 3 drwxr-xr-x 2 aeb 1024 Aug 6 23:51 bin -rw-r--r-- 1 aeb 37 Aug 6 23:52 tel1 -rw-r--r-- 1 aeb 37 Aug 6 23:53 tel2 % diff tel1 tel2 % rm tel1 % grep maja tel2 maja 0501-1136285 %
We see that there are commands date (that gives date and time), and cal (that gives a calendar).
The command ls lists the contents of the current directory---it tells you what files you have. With a -l option it gives a long listing, that includes the owner and size and date of the file, and the permissions people have for reading and/or changing the file. For example, the file "tel" here is 37 bytes long, owned by aeb and the owner can read and write it, others can only read it. Owner and permissions can be changed by the commands chown and chmod.
The command cat will show the contents of a file. (The name is from "concatenate and print": all files given as parameters are concatenated and sent to "standard output", here the terminal screen.)
The command cp (from "copy") will copy a file. On the other hand, the command mv (from "move") only renames it.
The command diff lists the differences between two files. Here there was no output because there were no differences.
The command rm (from "remove") deletes the file, and be careful! it is gone. No wastepaper basket or anything. Deleted means lost.
The command grep (from "g/re/p") finds occurrences of a string in one or more files. Here it finds Maja's telephone number.
The command pwd prints the current directory.
The command cd changes the current directory. Try "cd /" and "pwd" and "cd" and "pwd".
The command rmdir removes a directory if it is empty, and complains otherwise.
The command find (with a rather baroque syntax) will find files with given name or other properties. For example, "find . -name tel" would find the file "tel" starting in the present directory (which is called "."). And "find / -name tel" would do the same, but starting at the root of the tree. Large searches on a multi-GB disk will be time-consuming, and it may be better to use locate(1).
In documentation it is customary to refer to man pages by giving the name and section number, as in man(1). Man pages are terse, and allow you to find quickly some forgotten detail. For newcomers an introductory text with more examples and explanations is useful.
A lot of GNU/FSF software is provided with info files. Type "info info" for an introduction on the use of the program "info".
Special topics are often treated in HOWTOs. Look in /usr/share/doc/howto/en and use a browser if you find HTML files there.


Corporate
Our Values
By empathizing with our customers, we produce the solutions we believe in and achieve success together.
We are always with our customers with our experienced team with national and international knowledge.
In our corporate solutions, we aim to evaluate the risk and performance with all factors and reach the shortest and most effective solution.
We produce solutions in many sectors with our disciplined team of that sector.
Our Vision
To create a consultancy company that comes to mind as the first choice, creating national and international value in ensuring the corporate development and sustainability of our customers with modern and innovative solutions.
Our Mission
To provide special solutions with knowledge, experience, method and technology for the preferred and basic needs of the companies we consult and to lead them to achieve their goals.
About Us
Paksoy Çözüm ve Danışmanlık was established in 2019 in order to increase the efficiency and competitiveness of companies in all national and international markets, and to improve efficiency by applying technology and innovations. For this purpose, it continues its activities in the field of audit, evaluation and consultancy with its experienced and knowledgeable team.
Our Policy
Paksoy Çözüm ve Danışmanlık A.Ş., based on its corporate vision and mission values, is to ensure the satisfaction of our customers with the most effective solutions in line with the needs and requests of its customers.
Services
- Solution Strategy Development Consultancy
- Management Consulting
- Finance Consultancy
- Investment consulting
- In-house Strategy Determination Consultancy
- Corporate Performance Management Consultancy
- Organization Configuration Consultancy
- Process Improvement Consultancy
- Risk Management Consultancy
- Legal counseling
- ERP and All IP (IT Solutions Design)
Team
Numan AYDINOĞLU
He graduated from KTU Mathematical Engineering Department. He worked in NCR Information systems for about 30 years. In 2017, he started as a Software Engineer; He left as a Middle East, Africa and Eastern Europe solution architecture manager. He was the CIO of International Hospitals and American Hospitals. He has been a columnist in Telepati magazine for 20 years. He has six published books, two of which are poems. www.numanaydinoglu.com
M.Yamaç HASİN
After graduating from İzmir Atatürk High School, he graduated from 9 Eylül University Faculty of Economics. He held senior management positions in leading banks and brokerage houses in the money and capital markets. M. Yamac Hasin, who has expertise in Investment Consultancy, Corporate Consultancy, Corporate Finance, Treasury Management and AUDIT, has all the licenses given by the Capital Markets Board.
Contact
Barbaros Nh. Al Zambak Str. Varyap Meridian Block A No.2 Fl.27 Apt.224 34746 Ataşehir/Istanbul Turkey
+90(216)755 20 55


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Use any fresh garden herbs for this vibrant sauce, it will taste a little different every time. Less popular herbs such as lovage are also good, but go easy as they can be very strong in flavour.
To make the green sauce, put the egg yolks, vinegar, mustard and sugar into the bowl of a mini food processor. (Don’t use a large processor as the sauce won’t combine properly. If you don’t have a food processor with a small bowl, you can use a stick blender or even whisk by hand.) Season to taste with salt and freshly ground black pepper.
Pulse until well combined then, with the motor running, very gradually pour the oil in a very thin stream onto the eggs and blend until smooth and thick.
Add the shallot, garlic, capers, all the herbs and lemon juice and blend again until they are finely chopped and the sauce is very green.
Adjust the seasoning to taste and add one tablespoon of cold water. Blend for a few seconds more until the sauce has a soft, spoonable consistency, adding a little more water if necessary. Divide between four small serving bowls or ramekins and set aside until ready to serve.
This next bit may seem a fiddle but is very easy and quick once you’ve got the hang of it. Take one of the herring fillets and place skin-side down on a board. Cut in half lengthways into two fillets. Take once of the fillets and run your fingers up and down over the flesh a few times to get an idea where any pin-bones are located. Cut the fillet lengthways in half again, either side of the pin-bones that you’ll find running through the top part of each fillet. Run your fingers up and down again to make sure you’ve got them all, using tweezers to pull out any stray bones. Repeat with the remaining fillets.
Next, cut each fillet into 2-3 diagonal slices depending on size. Rinse the herring pieces under cold water and drain.
Pour the oil into a medium saucepan or a deep-fat fryer and heat to 180C/350F, checking the temperature using a cooking thermometer. (CAUTION: Hot oil can be dangerous. Do not leave unattended.)
While the oil is heating, put the flour, semolina, mustard powder, cayenne pepper and salt in a large bowl. Season with lots of freshly ground black pepper and mix well.
When the oil is at the right temperature, dredge a quarter of the damp herring fillets in the seasoned flour (the fish shouldn’t be too dry or the flour won’t stick, so rinse in more water and drain again if necessary). Shake off the excess flour and lower the floured fish gently into the oil. Fry for 3-3½ minutes, or until the pieces are crisp and golden-brown. Stir once towards the end of the cooking time to separate the fish.
Carefully remove the fried fish with a slotted spoon and place in a pile on a plate lined with kitchen paper. Keep an eye on the temperature as you fry, as the oil can begin to get hotter and will also cool quickly once the fish is added.
Scoop out any bits of crispy fish that float to the top of the oil and bring back to 180C/350F. Repeat the coating and frying process with the remaining fish. Keep the cooked fish warm in a low oven between batches if you like.
To serve, divide the hot fish between four plates or bowls and place the sauce to the side. Add the lemon wedges for squeezing.


Automatically setup docs for a project
Call from command line:
bench setup-docs app path
Inherits from __builtin__.object
Generate source templates for models reference and module API
and templates at templates/autodoc
Build templates for docs models and Python API
Build templates for user docs pages, if missing.
Copy jquery, bootstrap and other assets to files
is_py_module (self, basepath, folders, files)
No docs
make_docs (self, target, local=False)
No docs
make_folder (self, path, template=None, context=None)
No docs
Make standard home pages for docs, developer docs, api and models from templates
No docs
Sync docs from /docs folder to Web Page.
Called as bench --site [sitename] sync-docs [appname]
No docs
render templates and write files to target folder
write_model_file (self, basepath, module, doctype)
No docs
write_modules (self, basepath, folders, files)
No docs


00001 /* 00002 * $Id: cidx__manager_8h-source.html,v 1.2 2012/12/23 06:38:15 rudahl Exp $ 00003 * 00004 * Copyright (c) 2002-2011, Communications and Remote Sensing Laboratory, Universite catholique de Louvain (UCL), Belgium 00005 * Copyright (c) 2002-2011, Professor Benoit Macq 00006 * Copyright (c) 2003-2004, Yannick Verschueren 00007 * Copyright (c) 2010-2011, Kaori Hagihara 00008 * All rights reserved. 00009 * 00010 * Redistribution and use in source and binary forms, with or without 00011 * modification, are permitted provided that the following conditions 00012 * are met: 00013 * 1. Redistributions of source code must retain the above copyright 00014 * notice, this list of conditions and the following disclaimer. 00015 * 2. Redistributions in binary form must reproduce the above copyright 00016 * notice, this list of conditions and the following disclaimer in the 00017 * documentation and/or other materials provided with the distribution. 00018 * 00019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS `AS IS' 00020 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00021 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 00022 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 00023 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 00024 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 00025 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 00026 * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 00027 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 00028 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 00029 * POSSIBILITY OF SUCH DAMAGE. 00030 */ 00031 00037 #ifndef CIDX_MANAGER_H_ 00038 # define CIDX_MANAGER_H_ 00039 00040 #include "openjpeg.h" 00041 00042 00043 /* 00044 * Write Codestream index box (superbox) 00045 * 00046 * @param[in] offset offset of j2k codestream 00047 * @param[in] cio file output handle 00048 * @param[in] image image data 00049 * @param[in] cstr_info codestream information 00050 * @param[in] j2klen length of j2k codestream 00051 * @return length of cidx box 00052 */ 00053 int opj_write_cidx( int offset, opj_stream_private_t *cio, opj_codestream_info_t cstr_info, int j2klen, 00054 opj_event_mgr_t * p_manager ); 00055 00056 /* 00057 * Check if EPH option is used 00058 * 00059 * @param[in] coff offset of j2k codestream 00060 * @param[in] markers marker information 00061 * @param[in] marknum number of markers 00062 * @param[in] cio file output handle 00063 * @return true if EPH is used 00064 */ 00065 OPJ_BOOL opj_check_EPHuse( int coff, opj_marker_info_t *markers, int marknum, opj_stream_private_t *cio, 00066 opj_event_mgr_t * p_manager ); 00067 00068 #endif /* !CIDX_MANAGER_H_ */


| textredux |
The Textredux module allows you to easily create text based interfaces for the
Textadept editor and offers a set of text
based interfaces. |
| textredux.buffer_list |
The buffer list module provides a text based replacement for the standard
Textadept buffer list. |
| textredux.core |
The Textredux core module allows you to easily create text based interfaces
for the Textadept editor. |
| textredux.core.buffer |
The buffer class wraps a Textadept buffer, and extends it with support for
custom styling, buffer specific key bindings and hotspot support. |
| textredux.core.indicator |
The indicator module provides support for indicators in your buffers. |
| textredux.core.list |
The list class provides a versatile and extensible text based item listing for
Textadept, featuring advanced search capabilities and styling. |
| textredux.core.style |
The style module lets you define and use custom, non-lexer-based styles. |
| textredux.core.ui |
The ui module handles UI related operations for Textredux. |
| textredux.fs |
textredux.fs provides file system related functions and a text based file
browser for Textadept. |
| textredux.hijack |
The hijack module provides the easiest, and most invasive, way of getting
Textredux functionality for Textadept. |


Welcome to Trivassi's Pizza Shop
Order your pizza now!
Name:
Address:
Pick the size:
Small
Medium
Large
Pick your toppings ($1 each):
Extra Cheese
Pepperoni
Ham
Sausage
Mushroom
Go!
Your total price will be:


DET
: determiner
This document is a placeholder for the language-specific documentation
for DET
.
Treebank Statistics (UD_Galician)
There are 29 DET
lemmas (0%), 86 DET
types (1%) and 23906 DET
tokens (17%).
Out of 15 observed tags, the rank of DET
is: 8 in number of lemmas, 7 in number of types and 2 in number of tokens.
The 10 most frequent DET
lemmas: o, un, este, seu, outro, todo, mesmo, cada, algún, ese
The 10 most frequent DET
types: o, a, os, as, un, unha, este, súa, esta, seu
The 10 most frequent ambiguous lemmas: o (DET 18186, PRON 273), un (DET 2077, PRON 42), este (DET 954, PRON 1), mesmo (DET 157, ADV 52), aquel (DET 106, PRON 1), moito (DET 66, ADV 22), propio (DET 43, ADJ 28), certo (DET 33, ADJ 9), pouco (ADV 19, DET 19), que (PRON 1909, SCONJ 1195, DET 14)
The 10 most frequent ambiguous types: o (DET 6283, PRON 98), a (DET 6114, ADP 2083, PRON 53), os (DET 2686, PRON 93), as (DET 1881, PRON 27), un (DET 1008, PRON 25), unha (DET 935, PRON 16), esta (DET 240, PRON 1), mesmo (DET 84, ADV 52), aqueles (DET 51, PRON 1), propia (DET 19, ADJ 11)
- o
- a
- os
- as
- un
- unha
- esta
- DET 240: PP. , sen embargo os resultados que presentamos en a táboa 7 contradín esta conclusión .
- PRON 1: Esta participación ten carácter salarial e complementa a remuneración que , de similar natureza , estableza a normativa laboral aplicable , a non ser que esta sexa inferior e , en este caso , substituirá a .
- mesmo
- aqueles
- DET 51: A maioría de os cambios lingüísticos dan se entre os menores de 65 anos , e entre aqueles con estudos universitarios ou secundarios .
- PRON 1: Entre eles temos : ~ Postos de hospital de día : consideran se como tales aqueles destinados a a atención de pacientes de xeito simultáneo en a área de hospital de día ( tanto os terapéuticos , como os de convalecencia )
- propia
Morphology
The form / lemma ratio of DET
is 2.965517 (the average of all parts of speech is 1.518322).
The 1st highest number of forms (4) was observed with the lemma “algún”: algunha, algunhas, algún, algúns.
The 2nd highest number of forms (4) was observed with the lemma “aquel”: aquel, aquela, aquelas, aqueles.
The 3rd highest number of forms (4) was observed with the lemma “certo”: certa, certas, certo, certos.
DET
does not occur with any features.
Relations
DET
nodes are attached to their parents using 16 different relations: gl-dep/det (23730; 99% instances), gl-dep/nsubj (42; 0% instances), gl-dep/dep (33; 0% instances), gl-dep/amod (23; 0% instances), gl-dep/nmod (17; 0% instances), gl-dep/advmod (16; 0% instances), gl-dep/dobj (15; 0% instances), gl-dep/ccomp (7; 0% instances), gl-dep/cop (6; 0% instances), gl-dep/aux (5; 0% instances), gl-dep/punct (4; 0% instances), gl-dep/mark (3; 0% instances), gl-dep/cc (2; 0% instances), gl-dep/case (1; 0% instances), gl-dep/foreign (1; 0% instances), gl-dep/root (1; 0% instances)
Parents of DET
nodes belong to 14 different parts of speech: NOUN (20516; 86% instances), VERB (798; 3% instances), NUM (542; 2% instances), DET (503; 2% instances), ADJ (436; 2% instances), PROPN (404; 2% instances), ADP (326; 1% instances), PRON (312; 1% instances), ADV (45; 0% instances), PUNCT (14; 0% instances), SCONJ (6; 0% instances), INTJ (2; 0% instances), PART (1; 0% instances), ROOT (1; 0% instances)
23181 (97%) DET
nodes are leaves.
678 (3%) DET
nodes have one child.
42 (0%) DET
nodes have two children.
5 (0%) DET
nodes have three or more children.
The highest child degree of a DET
node is 4.
Children of DET
nodes are attached using 12 different relations: gl-dep/det (535; 69% instances), gl-dep/nummod (101; 13% instances), gl-dep/cc (38; 5% instances), gl-dep/case (31; 4% instances), gl-dep/advmod (21; 3% instances), gl-dep/dep (18; 2% instances), gl-dep/punct (14; 2% instances), gl-dep/nmod (12; 2% instances), gl-dep/dobj (4; 1% instances), gl-dep/amod (2; 0% instances), gl-dep/ccomp (1; 0% instances), gl-dep/mark (1; 0% instances)
Children of DET
nodes belong to 12 different parts of speech: DET (503; 65% instances), NUM (129; 17% instances), ADP (34; 4% instances), CONJ (32; 4% instances), ADV (27; 3% instances), ADJ (21; 3% instances), PUNCT (20; 3% instances), PRON (8; 1% instances), INTJ (1; 0% instances), NOUN (1; 0% instances), PART (1; 0% instances), VERB (1; 0% instances)
DET in other languages: [bg] [cs] [de] [el] [en] [es] [eu] [fa] [fi] [fr] [ga] [he] [hu] [it] [ja] [ko] [sv] [u]


---
layout: page
---
Publications
Abstract
A density functional theory-based method is developed to describe the static and dynamic response of superfluid helium at finite temperatures.
The model relies on the well-established 0 K Orsay–Trento functional, which has been extensively used to study the response of bulk
superfluid helium as well as superfluid helium droplets. By including a phenomenological stochastic term in this model, it is possible to obtain
thermodynamic equilibrium corresponding to a given temperature by propagating the system in imaginary time. The temperature dependence
of thermodynamic quantities, such as the internal energy and entropy, is computed and is compared well with experimental reference
data for the bulk liquid up to about 2 K, but begins to gradually deviate above that temperature. Inspection of pseudovorticity during real-time
evolution of the system near 2 K reveals the presence of roton quasiparticles, which are suggested to be precursors for quantized vortex rings
(Onsager’s ghosts), as well as weaker analogs of extended vortex loops.
A. Long and J. Eloranta, "Density Functional theory of superfluid helium at finite temperature.", J. Chem. Phys. 155, 074102 (2021)
Link to Paper


Simple d3 visualization
plugins = [ "https://pyscript.net/latest/plugins/python/py_tutor.py" ] [[fetch]] files = ["./d3.py"]
Based on
Learn D3: Shapes
tutorial.
JavaScript version
PyScript version


WITNESS LIST
Business & Industry Committee
February 19, 2013 - 10:30 AM or upon final adjourn./recess
Invited testimony from agencies under the committee's jurisdiction.
On:
Bordelon, Rod (TDI-DWC)
Bow, Jonathan (State Office of Risk Management)
Darwin, Norman (Office of Injured Employee Counsel)
Frakes, Terry (Texas mutual insurance company)
Harris, Kathryn (Office of Injured Employee Counsel)
Harris, Kathryn (Office of Injured Employee Counsel)
Heleman, John (Office of state comptroller)
Klein, Barbara (State Office of Risk Management)
Lee, Amy (TDI-DWC)
Potter, Lloyd (Office of the State Demographer)
Registering, but not testifying:
On:
Cargile, Stuart B. (State Office of Risk Management)
Vollbrecht, Stephen (State Office of Risk Management)
For:
Levy, Rick (Texas AFLCIO)
Against:
Dewitt, Cathy (Texas association of business)
Dewitt, Cathy (Texas association of business)
Fleming, John (Texas mortgage bankers Association)
Neeley, Kaaren (Ibat)
On:
Reilly, Wendy (The Technology Association of America-TechAmerica)
Simpson, Matt (ACLU of Texas)
Registering, but not testifying:
Against:
Barber, Kathy (Nfib/tx)
Burdett, Jeff (Texas Cable Association)
Embrey, Celeste (Texas Bankers Association)
On:
Wurzel, Geoff (TechNet)
1


Vue + Tailwind Demo
Card title
Some quick example text to build on the card title and make up the bulk of the card's content.
Go somewhere


☀ Aryan Solar Calendar ☀
Date:
January
February
March
April
May
June
July
August
September
October
November
December
Aryan Date:
Aries
Taurus
Gemini
Cancer
Leo
Virgo
Libra
Scorpio
Sagittarius
Capricorn
Aquarius
Pisces


Day One
We found ourselves to be lazy travellers after the first, action-packed day of exploring. It's also worth noting that the rest of our tour group consisted of a smattering of middle-aged women who travel the world together periodically, and a couple sets of older persons who put us recent college graduates to shame. With the 7 hour jet lag in full force, we woke up on that first morning with the following agenda ahead of us:
- Early breakfast in the hotel
- A tourbus survey of the city of Barcelona
- Lunch at some exotic restaurant, just Sloane and I
- Checking out the area around the hotel for shops
- Calling back home to update our families on our journy
- Dinner somewhere?
- Pass out early and sleep for 14 hours
We ended up accomplishing maybe three of those objectives. The tour was gorgeous, and we saw some of the buildings used in the Barcelona Olympics, shown below, as well as a palace and a cliff-side view of the Mediterranean. What sucked, is that we both felt our body's screaming at us since back home in the States it was the middle of the night, yet the sun was shining harsh and bright into our faces.
The Rest
After that first day, the rest our of four days and nights took a similar form. We would sleep until 9 or 10 am, take the little elevator downstairs for a bite to eat and a few cortados, before heading outside to walk around until lunchtime. Once we committed to a lunch location, we'd be at that location for no less than 2 hours, usually closer to 4. Lunch is a big deal here—everyone eats a huge meal with lots of friends and coworkers for the entire afternoon, along with wine or beer and dessert or coffee. Our bodies, as with the jet lag, were not used to this kind of living. The pace is also very relaxed at this time of the day. Servers do not pressure you to leave, and take their time in bringing you the check after your meal, as they expect you to sit and gab a while.
Our favorite restaurant was a Mediterranean restaurant that served all vegetarian options. Despite our best intentions to try lots of different stuff while abroad, we ended up eating at Humus Barcelona three different times
The real highlight of the trip, and one of the most impressive sights I've ever seen, was La Sagrada Familia, the famous cathedral built by architect Antoni Gaudí. Gaudí built many famous buildings in Barcelona, but La Sagrada is his masterpiece. He spent a large chunk of his work on the design and construction, and due to several historical mishaps (the Civil War, the World Wars, etc), as well as the complexity of the design, La Sagrada is still being constructed. Our guide told us that it is slated to be finished in 2026, which would mark 100 years after the death of its architect. I'll let my photos show what I cannot even describe.
I'd like to leave one last oddity spotted at one of the gift shops near La Sagrada Familia. Inexplicably, we found a not-for-sale plaque on the wall of a souvenir store with a terribly inaccurate map of the St. Louis and Missouri region, showcasing a fake pistol. I'm still wondering to myself, "Why?" But here it is.
Much love to GoAhead Tours for the incredible experience, to my partner for being a champion, and to the city of Barcelona for just being beautiful and cool.


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Sharp rise in Sabarimala revenue collection
TDB receives revenue of ₹3.32 cr. on Sunday
by Special CorrespondentThe revenue collection at Sabarimala registered a handsome rise on the first day of the 41-day Mandalam pilgrim season on Sunday, compared to that of the previous year.
Travancore Devaswom Board president N.Vasu told The Hindu on Monday that the revenue on Sunday was ₹3,32,55,986 against ₹2,04,23,533 received on the first day of the pilgrim season in 2018. Aravana and Appam sales fetched ₹1,33,48,160, which was ₹78,27,785 last year.
The ‘kaanikka’ (offerings) made by devotees on Sunday was ₹1,00,10,900 against ₹75,88,950 last year. He said Sabarimala was witnessing a smooth pilgrimage.
Annadanam
The Travancore Devaswom Board chief said the board had made arrangements to feed not less than 40,000 people a day at its Annadana Mandapam at Sabarimala. Jaggery supply by the agency in Maharashtra for Appam-Aravana at Sabarimala was partially hit owing to incessant rain there over the past few weeks.
However, the TDB had made alternative arrangements to procure jaggery from the State itself, Mr. Vasu said.


This will only affect your Mandrill password. Google and Github accounts will not be affected.
Your name comes from either Google or Github. If you don't like it, change it.


{% extends "free_software.html" %} {% block logo %} {% endblock %} {% block software %}
As opposed to normal Meetup, Meetup Pro gives you a bunch of new cool data, options, and, most importantly, makes it possible for us to pay for your Meetup bill.
You will still retain full control over your Meetup page as a co-organizer.
Code for America will pay for your Meetup out of the Brigade operating budget, saving you $180 a year.
You'll be able to host as many events as you want, and we will be able to share with you some better statistics such as average RSVP and historical membership counts.
To transfer your Meetup group to Code for America, you will need to add Code for America as the "Organizer" and then we will re-add you as a "Co-Organizer".
Users can opt-in to sharing their email address when they attend your Meetup. We’ll use addresses for those who opt-in to send occasional messages about network-wide activities. These will be limited to things like “Announcing National Day of Civic Hacking” and a once a quarter reminder about signing up for the Code for America email list to get the latest updates. We can provide you the list as well.
Oh, also, Meetup Pro costs us per-group, so we can only add Official Brigades. If you have already paid for your Meetup, then you’ve already paid... we can’t get you a refund. Sorry!
{% endblock %}


Menú principal
PLAYER 1 YOU'RE A CAT!!!
Select
PLAYER 2 YOU'RE A DOG!!!
Select
PLAYER 1 WINS!!!
""
""
PLAYER 1 WINS!!!
""
""
PLAYER 2 WINS!!!
""
""
PLAYER 2 WINS!!!
""
""
DRAW!!!
""
""


A heatmap is a graphical representation of data that uses color to represent different gradients of values. This is a basic example which uses a color map which depicts the monthly sales of individuals over a year. The colors rang from the blue to yellow to red which symbolize the low, mid and high values of the data.
The color legend at the bottom left is interactive and can be used to isolate specific ranges within the heatmap.


Display markers at different altitudes.
This example shows the bicyle route at the Yungas Road (also known as the "Death road") in Bolivia. Markers with the altitude values help to visualise the 3500m of descent for this road. Each marker is located at the altitude associated with the given route vertex. Markers' icons are assigned a normalized color from red (approx. altitude 4600 meters above see level) to blue (approx. altitude 1100 meters above see level).
Access to the routing service is obtained from the H.service.Platform
by calling
getRoutingService()
. The calculateRoute()
method is used to calculate the bicycle route by passing in the relevant parameters as defined in
Routing API.
The markers are supplied with the latitude, longitude and altitude obtained from the routing response, the altitude value provides the elevation for the marker.


|
Fig 1
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Indication of Marine Ice Sheet Instability (MISI) triggered ... |
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Fig 2
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Hindcasts and projections of global mean equivalent sea-leve ... |
|
Fig 3
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Comparison of the fitted Antarctic ice sheet (AIS) volume lo ... |
|
Fig 4
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Comparison of the fitted Antarctic ice sheet volume loss to ... |


Strong development team
Although our Python development team has only two people, we are very strong.
Useful Python gadgets and interesting games
Our Python workers have clocks, calculators, random number generators, and so on. Small games are based on pyGame and simple games.
Open source
Every Python achievement we make will upload the py source code to GitHub.
Many achievements
Our team has ZLOS, CSOS and various py programs.
Study carefully
Almost every py program is crafted by us.


This is a short paragraph to show how paragraphs work.
This is a second paragraph to show how paragraphs work.
This is a short paragraph to show how paragraphs work.
This is a second paragraph to show how paragraphs work.
This is a short paragraph to show how paragraphs work.
This is a second paragraph to show how paragraphs work.
This is some text that is linked.
This is some text [that is linked](https://example.com).
This is some text that is linked.
- This is the first item in a list
- This is the second item
- This is the third
1. This is the first item in a list
2. This is the second item
3. This is the third


Peeling the Onion
The following chart demonstrates how onion prices fared over the years.
Monthly trends


Sample
Regexes
Matches
`(this).*?(?<whole>[a-z]+\s+(whole)).*?([a-z]+)`i
-
This is the whole
- 1
- This
- 2 whole
- the whole
- 3
- whole
-
This is the whole match
- 1
- This
- 2 whole
- the whole
- 3
- whole
- 4 matches
- match
-
This
- 1
- This
`(this).*?(?<whole>[a-z]+\s+(whole)).*?([a-z]+)`i
-
This is the whole
- 1
- This
- 2 whole
- the whole
- 3
- whole
-
This is the whole match
- 1
- This
- 2 whole
- the whole
- 3
- whole
- 4 matches
- match
-
This
- 1
- This


This page demonstrates an advanced version of the Life expectancy custom filter.
Technical details are as follows (click a link below to see the appropriate code):