Soon after college took a course on Java and started my career as a trainer in Arena Multimedia teaching Java to non-programmers. Picked quite a bit of design skills and a mastered a lot of multimedia tools, including Photoshop, Flash, Audio and Video editing, Web design & development
With 3 other people cofounded an IT company specializing in web development, multimedia, eLearning. Handled everything from small to big, including pre-sales, customer interactions and relationships, design, development, delivery. Managed and mentored a lot of team members.
Starting a company brought in a lot of bragging right, but was difficult to sustain financially,had to call it a quits. So transitioned to being an employee and started working for other companies, took a role as business analyst at Iridium Interactive and later as Project Manager at Hurix
Organize, lead, provide oversight and technolgoy direction for projects, expand core capabilities of the team. Work with the business/clients to bridge the gap with the technology, act as a go to person for all the technological needs. Guidance for better and more technically viable solutions. Translate complex requirements to technical specifications.
Technical analysis, design of system architecture, data models, process. Develop solution architecture, prepare mockups & prototypes. Design standards and best practices, perform code review, performance analysis, set technology directions and mentor the team, owning the solutions end to end.
I'm a developer for life, I cannot stay away from writing code or learning a new language or tool. Hands on development experience in web, desktop, APIs, server applications, cross platform mobile applications.


Kernel PCA¶
PCA performs a linear transformation on the data. However, there are cases where such a transformation is unable to produce any meaningful result. Consider for instance the fictitious dataset with \(2\) classes and \(2\) data features as shown on the left of Fig. 4. We see by naked eye that it should be possible to separate this data well, for instance by the distance of the datapoint from the origin, but it is also clear that a linear function cannot be used to compute it. In this case, it can be helpful to consider a non-linear extension of PCA, known as kernel PCA.
The basic idea of this method is to apply to the data \(\mathbf{x} \in \mathbb{R}^{n}\) a chosen non-linear vector-valued transformation function \(\mathbf{\Phi}(\mathbf{x})\) with
which is a map from the original \(n\)-dimensional space (corresponding to the \(n\) original data features) to a \(N\)-dimensional feature space. Kernel PCA then simply involves performing the standard PCA on the transformed data \(\mathbf{\Phi}(\mathbf{x})\). Here, we will assume that the transformed data is centered, i.e.,
to have simpler formulas.
In practice, when \(N\) is large, it is not efficient or even possible to explicitly perform the transformation \(\mathbf{\Phi}\). Instead we can make use of a method known as the kernel trick. Recall that in standard PCA, the primary aim is to find the eigenvectors and eigenvalues of the covariance matrix \(C\) . In the case of kernel PCA, this matrix becomes
with the eigenvalue equation
By writing the eigenvectors \(\mathbf{v}_{j}\) as a linear combination of the transformed data features
we see that finding the eigenvectors is equivalent to finding the coefficients \(a_{ji}\). On substituting this form back into Eq. (4), we find
By multiplying both sides of the equation by \(\mathbf{\Phi}(\mathbf{x}_{k})^{T}\) we arrive at
where \(K(\mathbf{x},\mathbf{y}) = \mathbf{\Phi}(\mathbf{x})^{T} \mathbf{\Phi}(\mathbf{y})\) is known as the kernel. Thus we see that if we directly specify the kernels we can avoid explicit performing the transformation \(\mathbf{\Phi}\). In matrix form, we find the eigenvalue equation \(K^{2}\mathbf{a}_{j} = \lambda_{j} K \mathbf{a}_{j}\), which simplifies to
Note that this simplification requires \(\lambda_j \neq 0\), which will be the case for relevant principle components. (If \(\lambda_{j} = 0\), then the corresponding eigenvectors would be irrelevant components to be discarded.) After solving the above equation and obtaining the coefficients \(a_{jl}\), the kernel PCA transformation is then simply given by the overlap with the eigenvectors \(\mathbf{v}_{j}\), i.e.,
where once again the explicit \(\mathbf{\Phi}\) transformation is avoided.
A common choice for the kernel is known as the radial basis function kernel (RBF) defined by
where \(\gamma\) is a tunable parameter. Using the RBF kernel, we compare the result of kernel PCA with that of standard PCA, as shown on the right of Fig. 4. It is clear that kernel PCA leads to a meaningful separation of the data while standard PCA completely fails.


I am Vanshika Singh, a junior undergraduate at AKTU (India).
Polka Dots is a fashion e-commerce website.
Basic Banking Website with database of 10 customers.
The sinking of the Titanic is one of the most infamous shipwrecks in history.
Noone is unfamiliar with the havoc created by Coronavirus


Waldorf Kyra
Multimode Patch Editor
This editor is designed to work with at least Firmware 1.78, though it should be approximately compatible with earlier versions.
Communicating with Edisyn
Set "Multi program change" to "Enabled". Set Edisyn's MIDI channel to the same your Kyra's "Multi program channel" (typically 16). If you do not do this, then Edisyn's requests will result in Single-mode patch changes instead of multi-mode changes. That will be very confusing. Also set Edisyn's Synth ID to your Kyra's "MIDI SysEx device ID": typically 17.
-
To communicate with your Kyra over USB, make sure that "Receive MIDI Program" is "USB" or "MIDI+USB". You might also wish to set "Send manual dumps to" "USB".
- To communicate with your Kyra over 5-pin DIN MIDI, make sure that "Receive MIDI Program" is "MIDI" or "MIDI+USB". You might also wish to set "Send manual dumps to" "MIDI".
Hints
- You can display the Single patch associated with a given Part by clicking on Edisyn's "Show" button for that part. Edisyn will set up the resulting Single Patch editor to use the given Part as its current part, but note that you may want to set its MIDI channel to the MIDI channel associated with the part, in order to play notes etc.
Gotchas
- Unlike the single-mode patch editor, changing parameters on the Kyra will not cause it to emit sysex to change the same in Edisyn in real time.
- When Edisyn writes a patch to the Kyra, the Krya may not update the screen to reflect this change.
- When Edisyn writes a parameter to the Kyra, you won't see that parameter updated unless you're looking at its page in the Kyra's screen.
| By
| Sean Luke
|
| Date
| December 25, 2020
|


PRODBY is an online and local community-based lifestyle for all things music production (and music culture). Our viewers and collaborators are the next generation of musicians and engineers. People with new, bolder visions that take technology and our craft to heights it has not seen.
The team is led by Avi and Kev, two students at the University of Texas at Austin and members of Texas Music Producers.
Together, they want to bring art and people together.
You can download PRODBY for free as soon as it releases for iOS and Android. Use it to find the people you need to realize your vision.


A Python expression is a legal Python statement. Print 5 + 1 is a valid expression, but print 8 + with no number at the end is not.
Telling computers what to do Python- Test as you go after every step break into smaller bits The Variable What is a variable? Variables are names given to data that we need to store and manipulate in our programs. Variables are used to create
a name, the value of the name equals the value it is referred to Always introduce a variable before you use it What does it mean to assign a value to a variable? Variables help code readability by using names, we can also change the value
of things and store data. To do that we can name some data haircolor and define the variable haircolor using the following statement. haircolor=dark brown Then you can access and modify data by referring to it as haircolor. What are some ways
that variables are useful? What is the difference between 5+5 and "5"+"5" The 5+5 is added and gives you the sum of 10… 5 is a number “5”+”5” in Python puts the numbers together 55….in Python “5” is a String
What is the difference between what the equal’s means in math versus in programming? Note the = sign has a different meaning , In programming the =sign is known as a assignment sign. It means we are assigning the value on the right side of the
=sign to the variable on the left.
To write a comment # Symbol is used , comments start with the #symbol and everything after the symbol hash is ignored by python but the programmer can see it.
Strings
A sequence of characters surrounded by quotes “please don’t string me along” or ‘please don’t string me along’ you can use single or double quotes. If you start with a single quote you have to end with a single quote, If you start with a double
quote you have to end with a double quote. For space in a string annotate this way ‘please don’t string me along ‘ you have to put a space before the quotation at the end. Strings and numbers will produce an err Example: name=’kina’ ‘kina’*12
will not work But quotations will work in this manner name=’kina’ end=’!’ name + end *12 Kina!!!!!!!!!!!!
Index
An index, in your example, refers to a position within an ordered list. Python strings can be thought of as lists of characters; each character is given an index from zero (at the beginning) to the length minus one (at the end). For the string
"Python", the indexes break down like this: P y t h o n 0 1 2 3 4 5 In addition, Python supports negative indexes, in which case it counts from the end. So the last character can be indexed with -1, the second to last with -2, etc.: P y t
h o n -6 -5 -4 -3 -2 -1 Integers these are numbers with no decimal parts -3,-2,-1,0,1,2 Float refers to numbers with Decimal points 12.345,-67.897 String refers to text List refers to a collection of data that are related. Instead of storing
them as separate we can place them together Tuple are just like list but you cannot modify their value. The initial value is what will stay for the rest of the program.
What is a Parameter?
Parameters are what go inside the parenthesesFunctions These are simply pre-written codes that perform a certain task. Depending on how the function is written, whether it is a part of a class and how you import it, we can call a function by
typing the name of the function or by using a dot notation. Some functions require us to pass data in for them to complete a task.
Functions/Procedures
What are Functions/Procedures? they are prewritten codes that perform a certain task. In other words Input and Output taking a situation in and getting a different situation out. Differences between making and using a function, to make a function
you start off by writing def at the beginning of your code like so def then giving the function a name like kina, blue, green, ect.. that will become values. We then specify what to do with the input. Example def kina(x) love= x+x return love
In order to use a function you would write the name the put the value in parenthases like print kina(2) your answer would be 4 How do Functions help with repetition ? One and Done is the analogy i use. Create it one time and you never have
to create it again. What if No return statement is involved? You will get the answer of none because you are not asking for a computation. def kina(x): love=x+5 love_overboard=kina(10) print love_overboard >>>None Telling Computers What To
Do Compiler does it all at onceInterpreter interprets Group related facts into big ideas then summarize those ideas with a few sentences add these ideas and summarize to the HTML for your webpage: Topics to consider are: Computer, Program,
Programming Languages, Interpreter, Python, Grammar, Python Expressions
These are simply pre-written codes that perform a certain task. Depending on how the function is written, whether it is a part of a class and how you import it, we can call a function by typing the name of the function or by using a dot notation.
Some functions require us to pass data in for them to complete a task.
Boolean Value are True or False when comparing values they need to be the same type. Compare intergers with intergers and strings with strings
Procedure is the same as Function What is print function they are prewritten code that defines a certian task What does it mean to Call a function, you do this by writing the function name followed by an open parentheses followed by the values
for the required parfameters followed by a close parentheses always include print before calling a function Condition statements the program will proceed depending on coditions being met if,elif and else are utilized for this
Lets get Loopy
For Loop executes a block of coderepeatedly until the conditions in the for statement is met on the other hand the While loop repeatedly executes while a certian condition is in place. Break Time braks are a way to stop loops
Bugs, What are they? They are Errors in code you have to develp a stratergy to debug. The traceback function in Python has information of bug or what is going wrong in the code. There are 5 debugging stratergies. Examine Error Messages, Work
from Examples of Code, Make sure examples work, Check and print immediate results, Keep and compare versions.
Structured Data
Strings and Lists are structured data strings are a sequence of characters list are a sequence of anything there are also different ways to use lists and different things you can do to a list like a list can be nested meaning there are list
inside of lists. Mutation is changing the value of a part of the list and once that value is changed it can affect the value of other variables. Aliasing is two different ways to refer to the same object. Append means to add to a list and
Concatenation is putting two or more lists together.
How to solve problems
Understand the problem before you write the code What are the Inputs What are the outputs,Consider systematically how a human can solve the problem, Don't optomize prematurely the simpler the better. Pythonians Guide to all Problems in the Galaxy,
Don't Panic, What are the Inputs, What are the Outputs, Work through some examples by hand, Simple mechanical solution,Develop solution incrementaly.
Lesson Five
PROGRAM WITH OBJECTS
Object Oriented Programming
When researching OOP-Object Oriented Programming I came across alot of interesting and Great information but this definition gave me a nutshell view of what it means is a programming paradigm based on the concept of "objects", which are
data structures that contain data, in the form of fields, often known as attributes; and code, in the form of procedures, often known as methods. A distinguishing feature of objects is that an object's procedures can access and often
modify the data fields of the object with which they are associated . In OOP programming, computer programs are designed by making them outg of objects that interact with one another. There is significant diversity in object-oriented
programmin, but most popular languages are class-based, meaning that objects are instances of classes, which typically also determines their type, Wikipedia nailed it. Why is it important? OOP provides a clear modular structure for programs
which makes it good for defining abstract datatypes where implementation details are hidden and the unit has a clearly defined interface. ,OOP makes it easy to maintain and modify existing code as new objects can be created with small
differences to existing ones. ,OOP provides a good framework for code libraries where supplied software components can be easily adapted and modified by the programmer. This is particularly useful for developing graphical user interfaces.
Python Library And Its Uses
The library describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. It also describes some of the optional components that are commonly
included in Python distributions.Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents. There are built in functions, built in constants, buit in types, built in exceptions
this goes on and on, Great reference Guide.
Terms That Are Important
- Class: Python classes provide all the standard features of Object Oriented Programming: the class inheritance mechanism allows multiple base classes, a derived class can override any methods of its base class or classes, and a method
can call the method of a base class with the same name. Objects can contain arbitrary amounts and kinds of data. As is true for modules, classes partake of the dynamic nature of Python: they are created at runtime, and can be modified
further after creation.
- Instances: Not unlike the ambiguity between "class" and "type", "instance" is synonymous to "object". Think of it this way: objects are instances of types. So, "42 is an instance of the type int" is equivalent to "42 is an int object".
I usually use "instance" and "object" interchangeably. In some cases when I want to specifically refer to objects as artifacts of the CPython implementation, I will try to use "instance" to refer to actual instances of classes. Another
place where the term "instance" is explicitly used by Python is in built-ins like isinstance and the special __instancecheck__ attribute
- Instance Variable: Instance variable: A variable that is defined inside a method and belongs only to the current instance of a class.
- Class variable: A variable that is shared by all instances of a class. Class variables are defined within a class but outside any of the class's methods.
- Objects: Objects are Python’s abstraction for data. All data in a Python program is represented by objects or by relations between objects. (In a sense, and in conformance to Von Neumann’s model of a “stored program computer,” code is
also represented by objects.) Every object has an identity, a type and a value.
- Constructor: In class-based object-oriented programming, a constructor (abbreviation: ctor) in a class is a special type of subroutine called to create an object. It prepares the new object for use, often accepting arguments that the
constructor uses to set required member variables. A constructor resembles an instance method, but it differs from a method in that it has no explicit return type, it is not implicitly inherited and it usually has different rules for
scope modifiers
- Self Variable: That's the key difference between a function and a class method. A function is floating free, unencumbered. A class (instance) method has to be aware of it's parent (and parent properties) so you need to pass the method
a reference to the parent class (as self). It's just one less implicit rule that you have to internalize before understanding OOP
- Instance Method are bound function objects. Methods are always bound to an instance of an user-defined class. Unbound methods (methods bound to a class object) are no longer available.
Thinking, Thinking, Thinking
The many programs we had to write in this course which included Take a Break, Turtle and doing the Movie web page to learn a few were both fun and interesting. These situations challenged me and also instructed me to ask the questions that
programmers should ask, What is the Input ? How to get what you need ? and What is the output? However the last practice project which challenged you to look at CSS classes and HTML opened me up to a new world. Thinking more about Object Oriented Programming and how it can be used in relation to my HTML (Thanks for the video which gave me a better understanding) I see how OPP can be used by creating a Class from the Concept we have in this document you can create the Class and then create objects from that particular Concept. From there we can make several instances each one can having variables such as title and desciption the function can be generate_html this will create the HTML from this page. At first it took me a while to work through then once the light bulb went off I understood. To remind myself with more clarity on how to do this the notes were also included below
- First start off with an outline and ask yourself the questions about, input, output, how to go from input to output.
- Second define your Class
- Be explicit in inheriting
- Define a Constructor Function called __init__
- You can then pass in title and description
- Then create your instance function
- The HTML generator funtion inside Class was refactored, now when a function is called the title and description will be pulled from the object instance. This makes it easier you can change your objects in different ways


Before Change
if vertex == -1:
break
candidates = indices[indptr[vertex] : indptr[vertex + 1]]
for j in range(candidates.shape[0]):
if (
candidates[j] == vertex
or candidates[j] == -1
or candidates[j] in tried
):
continue
d = dist(data[candidates[j]], query_points[i], *dist_args)
unchecked_heap_push(initialization, i, d, candidates[j], 1)
tried.add(candidates[j])
After Change
// Find smallest flagged vertex
vertex = smallest_flagged(initialization, i)
while vertex >= 0:
for j in range(indptr[vertex], indptr[vertex + 1]):
candidate = indices[j]
if candidate not in tried:
d = dist(data[candidate], query_points[i], *dist_args)
unchecked_heap_push(initialization, i, d, candidate, 1)
tried.add(candidate)
// Find smallest flagged vertex
vertex = smallest_flagged(initialization, i)
return initialization
@numba.njit(fastmath=True)


We have blockchain!
- iterate robust bandwidth
- redefine transparent markets
- grow distributed platforms
- extend frictionless initiatives
- maximize innovative deliverables
- innovate world-class infrastructures
- aggregate distributed vortals
- expedite global niches
- enhance cross-media supply-chains
- morph impactful content
- whiteboard proactive action-items
- leverage out-of-the-box schemas
- orchestrate world-class channels


Alex Laursen
Home
Coding Portfolio
Resume
Video Production
(current)
Contact me
Video Projects
This is a collection of some of the video production projects I have completed


--- layout: post date: 2011-03-11 time: "09:00:00" authors: ["Greg Wilson"] title: Musing About Reorganization tags: ["Content", "Education"] ---
I'm increasingly unhappy with the organization of this course. On the off chance that funding materializes and we're able to undertake a major redesign, I'd like to explain why and ask for your input.
Right now, our lectures are broken into topics along lines a computer scientist would instantly recognize: basic programming, regular expressions, databases, and so on. That is not how members of our intended audience see things when they first come to us—if it was, they probably wouldn't need this course. They start with problems like:
Their answers cut across traditional CS divisions: re-using a legacy program, for example, may require basic programming, the shell, systems programming (such as subprocesses and I/O redirection), and some parsing.
The traditional solution is to view this as a matrix, and order topics to get to problems as quickly as possible. If the matrix is:
| Topic | |||||
| A | B | C | D | ||
| Problem | X | + | . | . | . |
| Y | + | . | + | . | |
| Z | . | + | + | + |
then the "best" order for teaching is [A, C, {B, D}]. Of course, this assumes that we know the problems, and how they depend on topics. We had some vague ideas a year ago, and know a lot more now, but there's something else we ought to take into account: the big ideas of computational thinking. For example, the idea that "programs are data" crops up in many different places in this course: a version control system treats the source code of a program as data, while passing a function as a parameter or storing it in a list only makes sense if you understand that runnable code is just bits in memory.
So should we build a matrix of problems vs. principles? Or a cube of questions, CS topics, and principles? I think the answer is "no", because I believe these principles cannot be taught or applied directly. In my experience, the only way to get them across is to come back after learners have been doing things that depend on them and point out the unifying principle.
I therefore think that the next big step for this course is to:
The tricky bit is that when we say "representative problems", most people think in terms of traditional disciplinary boundaries and offer us one fluid flow problem, one gene sequencing problem, and so on. Our notion of representative is different: we're thinking of things like reformatting data files, improving performance, sharing or testing code, and so on.
That's why we need your help. Have another look at the list at the top of this post. What should we add? What problems are you wrestling with, and what have you needed to know to solve them? "How do I use the shell?" is the wrong kind of answer—we want to know what problem you think the shell is the solution to, and why.


Legal Resource Registry
— Courts, Tribunals, and their Publishing Channels —
Home
Jurisdictions
Updating a Jurisdiction
Developers
Jurisdictions marked with stripes are stubs that do not yet provide court lists.
US Neutral Cites
Arbitrations
Austria
African Union
Australia
Belgium
Cambodia
Canada
Switzerland
Czechoslovakia
People's Republic of China
Council of Europe
Common Market for Eastern and Southern Africa
Cyprus
Czech Republic
Germany
Denmark
European Community
European Economic Area
European Economic Community
European Union
Finland
France
German Democratic Republic
Greece
International Criminal Court
International Monetary Fund
Japan
Republic of Kenya
League of Nations
Republic of the Union of Myanmar
Mongolia
The Netherlands
New Zealand
Organization of American States
Poland
Palestinian Territory
Comunidad Andina
Singapore
Sistema de la Integración Centroamericana
United Kingdom
Union of Soviet Socialist Republics
United Nations
United States
Viet Nam
Western Sahara
World Bank Group
World Trade Organization
Yugoslavia
Afghanistan
Albania
Algeria
Andorra
Angola
Anguilla
Antigua and Barbuda
Argentina
Armenia
Australia
Azerbaijan
Bahrain
Bangladesh
Barbados
Belarus
Belize
Benin
Bhutan
Bolivia
Botswana
Brazil
British Virgin Islands
Brunei
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Cayman Islands
Chad
Chile
Colombia
Costa Rica
Croatia
Cuba
Côte d'Ivoire
Dominican Republic
Ecuador
Egypt
El Salvador
Estonia
Ethiopia
Fiji
Gabon
Georgia
Ghana
Guatemala
Guinea
Guyana
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran
Ireland
Israel
Italy
Jamaica
Japan
Jersey
Jordan
Kazakhstan
Kenya
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Libya
Lithuania
Luxembourg
Macedonia
Madagascar
Malaysia
Maldives
Mali
Marshall Islands
Mauritania
Mauritius
Mexico
Moldova
Montenegro
Morocco
Namibia
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
Northern Ireland
Norway
Oman
Pakistan
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Portugal
Qatar
Romania
Russia
Rwanda
Saudi Arabia
Senegal
Serbia
Sierra Leone
Singapore
Slovakia
Slovenia
South Africa
South Korea
Spain
Sprska
Sri Lanka
Sudan
Sweden
Switzerland
Syria
Tajikistan
Tanzania
Thailand
The Bahamas
The Gambia
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
Uruguay
Uzbekistan
Venezuela
Zambia
Zimbabwe


Swarm mode key concepts
Estimated reading time: 4 minutesThis topic introduces some of the concepts unique to the cluster management and orchestration features of Docker Engine 1.12.
What is a swarm?
The cluster management and orchestration features embedded in the Docker Engine are built using swarmkit. Swarmkit is a separate project which implements Docker’s orchestration layer and is used directly within Docker.
A swarm consists of multiple Docker hosts which run in swarm mode and act as managers (to manage membership and delegation) and workers (which run swarm services). A given Docker host can be a manager, a worker, or perform both roles. When you create a service, you define its optimal state (number of replicas, network and storage resources available to it, ports the service exposes to the outside world, and more). Docker works to maintain that desired state. For instance, if a worker node becomes unavailable, Docker schedules that node’s tasks on other nodes. A task is a running container which is part of a swarm service and managed by a swarm manager, as opposed to a standalone container.
One of the key advantages of swarm services over standalone containers is that you can modify a service’s configuration, including the networks and volumes it is connected to, without the need to manually restart the service. Docker will update the configuration, stop the service tasks with the out of date configuration, and create new ones matching the desired configuration.
When Docker is running in swarm mode, you can still run standalone containers on any of the Docker hosts participating in the swarm, as well as swarm services. A key difference between standalone containers and swarm services is that only swarm managers can manage a swarm, while standalone containers can be started on any daemon. Docker daemons can participate in a swarm as managers, workers, or both.
In the same way that you can use Docker Compose to define and run containers, you can define and run swarm service stacks.
Keep reading for details about concepts relating to Docker swarm services, including nodes, services, tasks, and load balancing.
Nodes
A node is an instance of the Docker engine participating in the swarm. You can also think of this as a Docker node. You can run one or more nodes on a single physical computer or cloud server, but production swarm deployments typically include Docker nodes distributed across multiple physical and cloud machines.
To deploy your application to a swarm, you submit a service definition to a manager node. The manager node dispatches units of work called tasks to worker nodes.
Manager nodes also perform the orchestration and cluster management functions required to maintain the desired state of the swarm. Manager nodes elect a single leader to conduct orchestration tasks.
Worker nodes receive and execute tasks dispatched from manager nodes. By default manager nodes also run services as worker nodes, but you can configure them to run manager tasks exclusively and be manager-only nodes. An agent runs on each worker node and reports on the tasks assigned to it. The worker node notifies the manager node of the current state of its assigned tasks so that the manager can maintain the desired state of each worker.
Services and tasks
A service is the definition of the tasks to execute on the manager or worker nodes. It is the central structure of the swarm system and the primary root of user interaction with the swarm.
When you create a service, you specify which container image to use and which commands to execute inside running containers.
In the replicated services model, the swarm manager distributes a specific number of replica tasks among the nodes based upon the scale you set in the desired state.
For global services, the swarm runs one task for the service on every available node in the cluster.
A task carries a Docker container and the commands to run inside the container. It is the atomic scheduling unit of swarm. Manager nodes assign tasks to worker nodes according to the number of replicas set in the service scale. Once a task is assigned to a node, it cannot move to another node. It can only run on the assigned node or fail.
Load balancing
The swarm manager uses ingress load balancing to expose the services you want to make available externally to the swarm. The swarm manager can automatically assign the service a PublishedPort or you can configure a PublishedPort for the service. You can specify any unused port. If you do not specify a port, the swarm manager assigns the service a port in the 30000-32767 range.
External components, such as cloud load balancers, can access the service on the PublishedPort of any node in the cluster whether or not the node is currently running the task for the service. All nodes in the swarm route ingress connections to a running task instance.
Swarm mode has an internal DNS component that automatically assigns each service in the swarm a DNS entry. The swarm manager uses internal load balancing to distribute requests among services within the cluster based upon the DNS name of the service.
What’s next?
- Read the swarm mode overview.
- Get started with the swarm mode tutorial.


To the right the first 2000 samples from the JSON file are plotted by cluster. Mouse over or click on a cluster for info. Click the button below to highlight cluster 1. This functionality will be used to highlight the clusters new data gets classified to in the demo.


08.Write a script that converts a number in the range [0...999] to a text corresponding to its English pronunciation.
No need to watch the JS console for this one :-)


January 17, 2019
Software Solutions to Advance your Business
www.cabem.com
By: Danny Thorne
By: Danny Thorne
Topic: Ways to work with MySQL. (Hopefully some of which are not universally known/utilized.)
Audience: Devs (AFAIK, we all interact with MySQL on pretty much a daily basis.)
Purpose: Improved effectiveness and efficiency with MySQL. (Bonus: GUIs not required!)
Goal: Everyone sees at least one thing they didn't know about or hadn't thought about before. (asdf)
Problem: Need to insert a record similar to an existing one.
Problem: Need to insert a record similar to an existing one.
Solution?
Heaven forbid:
select * from Table where something;
...and then turn it into an insert statement manually.
Problem: Need to insert a record similar to an existing one.
Solution?
Better:
select * from Table where something;
...and then turn it into an insert statement automatically?
But this can be finicky, and MySQL can give us insert statements directly anyway...
Problem: Need to insert a record similar to an existing one.
mysqldump -u root -p Database Table | grep something
mysqldump -u root -p --skip-extended-insert Database Table
mysqldump -u root -p --skip-extended-insert --complete-insert Database Table
Then put it in Vim and run this:
:s/\s*\((\|)\)\s*/ \1 /g :s/\s*,\s*/ ,/g :s/\s\+\((\|)\|,\)/\r\1/g %k%v%:s/,/, / jjv%:s/,/, / ljh%jlks /* */ k0%llhh%kllDphh%jllllp0k%k
Make desired modifications, and, if you removed any of the values fields, run this:
{jjldi(jjlyi(kkphv%:s/\s*\*\/.*$// jv%:s/ \/\*// j%k
to automatically adjust the insert fields accordingly.
pager less
pager grep foo
pager cat > /home/uname/foo.txt
pager cut -c 1-200
pager vim -R -
pager tt(set it to a custom script)
pager(set it back to default: stdout)
https://github.com/dannythorne/tt
$ cat table.txt +----+----+----+----+----+----+----+----+ | a | b | c | d | e | f | g | h | +----+----+----+----+----+----+----+----+ | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | +----+----+----+----+----+----+----+----+ $ tt < table.txt +---+----+----+ | a | 11 | 21 | +---+----+----+ | b | 12 | 22 | | c | 13 | 23 | | d | 14 | 24 | | e | 15 | 25 | | f | 16 | 26 | | g | 17 | 27 | | h | 18 | 28 | +---+----+----+
\!
ggVG:!mysql -u name -p -tv


The gene {{extraction.words}}, with expectation of {{extraction.gene_mentions_filtered_inference_mention_id[0].expectation}}, is labeled as {{extraction.is_correct}}
Review content:
{{extraction.mention_id}}
| Weight |
Feature |
| {{(extraction.weights | parsedArray:'postgres')[$index]}} |
{{(extraction.features | parsedArray:'postgres')[$index]}} |


tree.c File Reference
Source code for the fastal tree algorithm.
More...
#include "stdio.h"
#include "stdlib.h"
#include "math.h"
#include "ctype.h"
#include "io_lib_header.h"
#include "util_lib_header.h"
#include "fast_tree_header.h"
Functions |
| int * | recode_sequence (char *seq, int seq_length, int *char2value, int alphabet_size, int word_length) |
| | Recodes a given sequence into a sequence of it's k-mers.
|
| double * | get_features (int *recoded_seq, int seq_length, int k_tup, int max_coding, int max_dist, int num_features) |
| | Extracts the features from a given sequence.
|
| Cluster_info * | feature_extract (char *seq_file_name, int max_dist, int k_tup, int *char2value, int alphabet_size, int *elem_2_compare, int *num_seq_p, int num_features) |
| | Calculates the feature values for all sequences in a file.
|
| int | cluster_compare (const void *a, const void *b) |
| | Compare function for qsort given an array of Cluster_info.
|
| int | cluster_recursive (int start, int end, Cluster_info *matrix, int dim, double *mean, double *variance, int *elem_2_compare, FILE *tree_f, int *node) |
| | Recursive function to build a tree according to a given feature matrix.
|
Detailed Description
Source code for the fastal tree algorithm.
Function Documentation
| int cluster_compare |
( |
const void * |
a, |
|
|
const void * |
b | |
|
) |
| | |
Compare function for qsort given an array of Cluster_info.
The field used for sorting is done according to the element determined in the Cluster_info object.
- Parameters:
-
- Returns:
- Value showing wheather a is bigger, smaller or equal to b.
| int cluster_recursive |
( |
int |
start, |
|
|
int |
end, |
|
|
Cluster_info * |
matrix, |
|
|
int |
dim, |
|
|
double * |
mean, |
|
|
double * |
variance, |
|
|
int * |
elem_2_compare, |
|
|
FILE * |
tree_f, |
|
|
int * |
node | |
|
) |
| | |
Recursive function to build a tree according to a given feature matrix.
- Parameters:
-
| start | The begin of this set in matrix. |
| end | The end of this set in matrix. |
| matrix | The feature matrix. |
| dim | The number of features. |
| mean | Array of size dim. |
| variance | Array of size dim. |
| elem_2_compare | Pointer to a single in. This will save the feature according to which shall be sorted (biggest variance). |
| tree_f | The file in which the tree will be written. |
| node | The current node. |
- Returns:
- The number of the current node.
| Cluster_info* feature_extract |
( |
char * |
seq_file_name, |
|
|
int |
max_dist, |
|
|
int |
k_tup, |
|
|
int * |
char2value, |
|
|
int |
alphabet_size, |
|
|
int * |
elem_2_compare, |
|
|
int * |
num_seq_p, |
|
|
int |
num_features | |
|
) |
| | |
Calculates the feature values for all sequences in a file.
The File has to have fasta format.
- Parameters:
-
| seq_file_name | The name of the file (in fasta format). |
| max_dist | The maximal distance to be considered. |
| k_tup | Size of the k_tup. |
| alphabet_size | The size of the alphabet. |
- Returns:
- The feature values for every sequence in a Cluster_info object.
| double* get_features |
( |
int * |
recoded_seq, |
|
|
int |
seq_length, |
|
|
int |
k_tup, |
|
|
int |
max_coding, |
|
|
int |
max_dist, |
|
|
int |
num_features | |
|
) |
| | |
Extracts the features from a given sequence.
- Parameters:
-
| recoded_seq | The recoded sequence, consisting of k-mer codes. |
| seq_length | The length of recoded_seq. |
| k_tup | Length of the k-mers. |
| max_coding | The maximal number used for coding the alphabet. |
| max_dist | The maximal distance to use between to k-mers. |
- Returns:
- The feature vector of the sequence.
| int* recode_sequence |
( |
char * |
seq, |
|
|
int |
seq_length, |
|
|
int * |
char2value, |
|
|
int |
alphabet_size, |
|
|
int |
word_length | |
|
) |
| | |
Recodes a given sequence into a sequence of it's k-mers.
- Parameters:
-
| seq | The sequence to encode. |
| seq_length | The length of seq. |
| char2value | Array giving each character in seq a unique value. |
| alphabet_size | The size of the alphabet. |
| word_length | The length of the k-mers to use. |
- Returns:
- The recodes sequence.


[§480B-3] Annual report. The attorney general shall submit an annual report to the United States Department of Justice with regard to the information provided in section 480B-2. [L 1995, c 243, pt of §2]


{% extends "base.html" %} {% block title %}
Medieval catalogues > SECULAR INSTITUTIONS: Secular Colleges > Sudbury > Bequest by John Donemowe, 15 April 1420
{% endif %}2 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
All the Lorem Ipsum generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet. It uses a dictionary of over 200 Latin words, combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always free from repetition, injected humour, or non-characteristic words etc.


JOHN CARPENTER'S VAMPIRES ** (R) (out of four)
Jack Crow: James Woods Montoya: Daniel Baldwin Katrina: Sheryl Lee Valek: Thomas Ian Griffith Cardinal Alba: Maximilian Schell
Directed by John Carpenter. Written by Don Jakoby. Based on the novel Vampire$ by John Steakley. Running time: 107 minutes. Rated R (for strong vampire violence and gore, language and sexuality).
BY AARON MICHAELS
Vampires have been shown in movies through the years as blood-sucking demons that prowl the night looking for a snack. The film's have ranged from very good (Bram Stoker's Dracula) to just awful (Once Bitten). Recently though, vampires have been very big. "Buffy, the Vampire Slayer" is a huge TV hit and Blade did a bang-up job at the box office. Now the most liked horror director has put his touch on the genre.
John Carpenter's Vampires is about Jack Crow (James Woods) who along with a group of a dozen or so hunt down vampire nests. They use a variety of automatic weapons (but they have to use a wooden stake also) to beat up the vampires. They then use a pulley system to drag the vamps into daylight which causes them to explode in a big fiery mess.
 Carpenter has used this character before in Escape from New York and Escape from L.A.. Crow is so much like Kurt Russell's character in those two movies it makes you wonder if Carpenter is losing originality. The only addition to the character is that now he sounds like a Howard Stern wannabe. He drinks, he swears, and he makes inappropriate conversations with priests.
After a tough day of work Crow and his team party at a nearby motel. They are interrupted by a vampire named Valek (Thomas Ian Griffith), who can't be hurt by automatic weapons or stakes, who brutally murders the group. The only surviving members of the massacre are Crow, his right hand man Montoya (Daniel Baldwin), and a hooker named Katrinia (Sheryl Lee) who just happened to be at the party.
After Crow consults with his church "sponsors" who pay for the destruction of the vampires, he finds out that Valek was the first vampire ever. He plans to find a black cross and when he finds it he will be able to create a new race of super vampires which can walk the day. Katrinia, while at the party, was bitten by Valek before he took out the rest of the group. She has 2 days before the vampire 'virus' overcomes her. In these 2 days she is able to have a physic link with Valek and is able to see what he sees. Crow and Montayo use this to stop the evil vampire from destroying the world.
John Carpenter is one of the most well liked director's in the horror/sci-fi/action genre. He has made such classics as Halloween and The Thing (not 1951 version). His 70s and 80s collection of films have developed a huge following by fans of the genre. Then the 90s came around and his movies went into the toilet. No J.C. film in the 90s has been worthwhile. Vampires is quite a bit better than most of his productions of this decade but that's not saying much.
What Carpenter was known for is the horror classic Halloween. In that movie he relied heavily on tense music (which he almost always creates himself) and wonderfully made scenes to the scare the heck out of everyone. Although Halloween is a violent movie with a pretty high body count, the film didn't rely on gore to create scary situations.  This is not true.
Another major complaint I have with the film though is the villain. Valek just isn't that good of a villain. He's your tired old character who is indestructible and will stop at nothing to rid the world of good guys. He vanishes from the screen many times in this movie for 15 minutes sometimes. Then when he reappears he just kills a church member who is in his way (seen mostly through psychic images in Katrinia's mind) and then disappears.
Of course Vampires isn't all bad. Woods does a good job as the anti-hero and will no doubt be well liked by Carpenter fans. The vampire hunting sequences (which are suprisingly short and far apart) are cool. They are brutal fights with machine guns firing everywhere and vampires erupting in fire. Scenes of Crow burying his dead group members are great. I can just barely recommend this movie to fans of John Carpenter or of violent action/horror movies.
Vampires, had it been done more originally, could have been a great horror film and one of Carpenter's best. But it is currently just a mixed bag of a movie that supplies some quick small thrills and is easily forgotten.
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


Candoia is a platform for realizing Mining Software Repository (MSR) Tools, and more broadly software engineering (SE) tools. Candoia is to these tools as Android and iOS are to mobile applications, and Atom is to text editors.
Candoia is a platform for building MSR queries as customizable and posrtable apps, without worrying about nitty gritty of underlying technologies for accessing bug or source data. Logic for Candoia app is divided in 5 files i.e.
Candoia platform is developed at Iowa State University. The development is led by Hridesh Rajan (@hridesh) and project contributors include Nitin Tiwari (@nmtiwari), Ganesha Upadhyaya (@gupadhyaya), Dalton Mills (@ddmills), Eric Lin (@eyhlin), and Trey Erenberger (@TErenberger).
Having trouble with Candoia? Check out our documentation or contact support and we’ll help you sort it out.


Numbers at the Type Level
Or: How to do recursion
@notesMd{
* so far we had a finite number of types
* but we need an infinite number of types for infinite things like numbers
}
Starting at the Value Level
@includeCode("app/peano/Peanos.scala", "peano-trait-val")
@includeCode("app/peano/Peanos.scala", "zero-val")
@includeCode("app/peano/Peanos.scala", "peanon-val")
@includeCode("app/peano/PeanoExamples.scala", "peano-ex1")
@notesMd{
- actual value is determined by the number of predecessors
- the add method wraps the other Peano number if PeanoN until it reaches zero
}
The translation #1
@includeCode("app/peano/Peanos.scala", "peano-trait-val")
@includeCode("app/peano/Peanos.scala", "peano-trait-type")
@rules(3)
@notesMd {
- we start by translating the interface again
- nothing new here rules wise
}
The translation #2
@includeCode("app/peano/Peanos.scala", "zero-val")
@includeCode("app/peano/Peanos.scala", "zero-type")
@rules(4)
The translation #3
@includeCode("app/peano/Peanos.scala", "peanon-val")
@includeCode("app/peano/Peanos.scala", "peanon-type")
@rules(7)
@notesMd{
- instead of the normal constructor to create an instance/value
- we use something similar: a type constructor
}
Final Code
@includeCode("app/peano/Peanos.scala", "peano-trait-val")
@includeCode("app/peano/Peanos.scala", "zero-val")
@includeCode("app/peano/Peanos.scala", "peanon-val")
@includeCode("app/peano/Peanos.scala", "peano-trait-type")
@includeCode("app/peano/Peanos.scala", "zero-type")
@includeCode("app/peano/Peanos.scala", "peanon-type")
@notesMd {
- the new things are the constructor and the recursion at the type level
- the key message is: if you can recurse on the value level, you can also do it on the type level
}
Tests
@includeCode("test/peano/PeanoSpecs.scala", "peano-val-spec-1")
@includeCode("test/peano/PeanoSpecs.scala", "peano-type-spec-1")
@notesMd{
- the only important thing is that my test cases made sure the add is commutative
}


Fidelity Bank: Write-back supports earnings growth
by CSL StockbrokersDouble-digit Growth in Gross Earnings and Profit
Fidelity Bank Plc continued its decent run in 2019, recording double-digit growth in gross earnings (+15.87%), driven by growths across its income streams; Interest income (+12.22%) and non-interest income (+13.06%).
Although the average yield on earning assets remained flat at 13.80%, an increase in the value of earning assets pushed interest income to NGN135.12 billion, while non-interest income benefitted from NGN2.42 billion gains on disposal of fixed assets as well as an increase in fees and commission income (+27.83%). The bank also recorded an uptick in its cost of funds (6.70%, Vs. 6.20% in 9M:2018) owing to increased competition for cheap deposits; which led to a decline in its CASA mix to 78.76% (vs. 81.61% in 9M:2018).
Consequently, the Net Interest Margin trended down by 70bps to 6.00%, the lower band of its 2019FY target. The growth in operating income (+14.53%) barely outpaced the growth in operating cost (+14.48%) as the cost to income ratio settled at 71.70%.
Nonetheless, the bank recorded a PAT growth of 20.19% to NGN21.46 billion. Given its aggressive asset expansion, we revised our growth forecast for 2019FY and our forecast lies thus; gross earnings (+14.16%), interest income (+17.14%), non-interest income (+11.30%), and interest expenses (+16.10%).
Earnings Supported by Writeback
In the year, the bank has been enjoying writebacks with the reconstruction of some loan facilities, Fidelity bank recorded a loan writeback of NGN1.45 billion in the third quarter, bringing the total writebacks in 2019 to NGN3.29 billion. The writebacks recorded in the year have been effective at bringing the cost of risk within its 2019FY guidance of 1.25%, bringing the bank’s ROE (13.80%) within the reach of its 2019FY ROE guidance of 13%.
Loans Reach a New Landmark at NGN1 trillion
Stemming from its objective to foster loan growth in the year, the bank intensified lending efforts, as its loan books hit the NGN1 trillion landmark for the first time. Its growth strategy comes at a good time when regulatory bodies support the increased need for real sector loans. Consequently, with a loan to deposit ratio of 96.21%, the bank is safe and above the minimum loan to deposit ratio of 65%. Also, the bank has intensified its funding efforts as deposits increased by 13.99% to NGN1.12 trillion.
[READ MORE: Nigerian Breweries: Lower profit estimates on higher Opex; HOLD rating retained]
We noticed the fast growth in term deposits (+31.59%) as against savings deposit (+9.17%). In our opinion, we believe this helps to reduce the maturity difference between the consumer loans created and funds fueling them. Savings deposit has a shorter lifecycle, making them less suitable for funding loans; while debts, although they have a longer lifespan, are more expensive than term deposits. Hence, we believe this is a good medium to pursue in the meantime.
Also, other prudential ratios remain within bounds from a regulatory standpoint with CAR (16.40%), and liquidity ratio (32.60%) and Non-Performing Loans (NPL) Ratio at 4.80% (vs. 5.70% in 2018FY). Notably, the bank has exceeded its 2019 loan to deposit guidance (7.50% to 10%) and we expect to see a slowdown in risk asset expansion in the last quarter as the bank fortifies its growth pace to ensure an impressive result by the end of the year.
Recommendation
Following our review of the bank’s financial performance and position as at 9M:2019, we revised our outlook on the bank. We raised our expected 2019 EPS to NGN0.95 from NGN0.83 and revised our target P/E of 2.44x, bringing our 2019 target price to NGN2.32.
________________________________________________________________________
CSL STOCKBROKERS LIMITED CSL Stockbrokers,
Member of the Nigerian Stock Exchange,
First City Plaza, 44 Marina,
PO Box 9117,
Lagos State,
NIGERIA.


Porsche Taycan Has Much Better Range Than We Thought
You worried, Tesla?
by Jay TraugottThe Porsche Taycan Turbo is the most serious threat to the Tesla Model S to date. Not only does the Taycan look incredible inside and out, it's also a technological force to be reckoned with thanks to its advanced and powerful electric motors and batteries. But how does it fair when it comes to range? You know, the major issue a majority of car buyers are concerned most with.
A member of the TaycanEVForum.com has posted a copy of the 2020 Porsche Taycan's testing results from the California Air Resources Board (CARB). The leaked document reveals that the Taycan Turbo and Turbo S have 281.8 and 282.7 miles of range, respectively.
To compare, the Audi e-tron's CARB certification came to 277.55 miles, but its EPA-certified range came to 204 miles. Expect the Porsche Taycan Turbo and Turbo S to earn around a 210-mile range from the EPA. The document also reveals the Turbo's range is about the same as its European WLTP range of 280 miles, but the Turbo S surpasses its WLTP range of 256 miles. CARB's range estimates have a history of exceeding initial estimates and the final figure certified by the EPA.
For example, CARB certified the Jaguar I-Pace with a 334-mile range – 100 more miles than the EPA's 234-mile estimate. A 200-mile or so all-electric driving range is only so-so these days. The Tesla Model S Long Range, for example, has an EPA-certified range of 370 miles – the highest of any other electric car so far.
But we also must remember the Taycan Turbo and Turbo S are the high-performance versions of the Taycan not intended for maximum range. It was either lots of power or greater range; something had to give. Fortunately, the era of the Taycan is only beginning.
Along with the recently revealed entry-level Taycan 4S, expect to see more variants, such as a long-range trim. In the meantime, Porsche Taycan 4S, Turbo, and Turbo S sales are already underway, with pricing beginning at $103,800.


Nice to meet you! I wanted this website to be a hybrid of my programming work & social life. In my spare time I love playing video games, trying out new foods, working out, checking out a wine bar in Los Angeles, and day dreaming of owning a dog one day. Shoot me an E-mail if you like any of these.
Software Engineer @Infowerks
Our flagship software, Viewmaster, was built in Ruby on Rails and I contribute code commits daily. We provide data retention and true turnkey solutions to the challenges of meeting requirements while also maintaining security and privacy.
⭐⭐⭐⭐⭐


Suggest topics for talks, for example
We can't promise anything but we hope someone will pick up your topic and do something with it...
{{#if loggedIn}} {{else}} {{/if}}| Title | Description | {{#each wishes}} | ||
|---|---|---|---|---|
| {{title}} | {{{marked description}}} {{#if hasComments .}} {{/if}} | {{#each positiveVotesShort .}} {{/each}} {{#if positiveVotesHasMore .}} {{positiveVotesMore .}} more {{/if}} | {{#if wishEnabled}} {{#unless owns .}} {{/unless}} {{/if}} |


EWASTE MANAGEMENT
Home
Product number:
Track
Product Name:
Product Type:
Product Date:
Manufacturer:
Supplier:
Retailer:
Customer :
Customer :
E-waste :


waffles-muggles
CS 5150 Navigation in Library Stacks.
Version: 1.0.0
/stacks
GET
Description: Returns information about stacks at a given floor.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| floor_id | query | Floor to list stacks | Yes | integer |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | An array of stacks | [ Stack ] |
| default | Unexpected error | Error |
POST
Description: Adds a new stack to a given floor.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| body | body | Stack with default ID to be added | Yes | Stack |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
PUT
Description: Edit a stack.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| body | body | Stack with given ID to be updated | Yes | Stack |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
/stacks/{id}
GET
Description: Returns information about the stack of a specified ID.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| id | path | ID of stack | Yes | integer |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | A stack | Stack |
| default | Unexpected error | Error |
DELETE
Description: Delete a stack.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| id | path | ID of stack | Yes | integer |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
/floors
GET
Description: Returns information about floors at a given library.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| library_id | query | Library to list floors | Yes | integer |
| more | query | Set this flag to get floor map (or empty string returned) | No | boolean |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | An array of floors | [ Floor ] |
| default | Unexpected error | Error |
POST
Description: Adds a new floor to a given library.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| body | body | Floor with default ID to be added | Yes | Floor |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
PUT
Description: Edit a floor.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| body | body | Floor with given ID to be updated | Yes | Floor |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
/floors/{id}
GET
Description: Returns information about the floor of a specified ID.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| id | path | ID of floor | Yes | integer |
| more | query | Set this flag to get floor map (or empty string returned) | No | boolean |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | A floor | Floor |
| default | Unexpected error | Error |
DELETE
Description: Delete a floor.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| id | path | ID of floor | Yes | integer |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
/libraries
GET
Description: Returns information about libraries.
Parameters
| Name | Located in | Description | Required | Schema |
|---|
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | An array of libraries | [ Library ] |
| default | Unexpected error | Error |
POST
Description: Adds a new library.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| body | body | Library with default ID to be added | Yes | Library |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
PUT
Description: Edit a library.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| body | body | Library with given ID to be updated | Yes | Library |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
/libraries/{id}
DELETE
Description: Delete a library.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| id | path | ID of library | Yes | integer |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
/search
GET
Description: Find stacks by a call number.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| keyword | query | Call number of search | Yes | string |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | An array of search results | [ SearchResult ] |
| default | Unexpected error | Error |
/rules
GET
Description: Returns information about rules.
Parameters
| Name | Located in | Description | Required | Schema |
|---|
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | An array of rules | [ Rule ] |
| default | Unexpected error | Error |
POST
Description: Adds a new rule.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| body | body | Rule with default ID to be added | Yes | Rule |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
/rules/{id}
DELETE
Description: Delete a rule.
Parameters
| Name | Located in | Description | Required | Schema |
|---|---|---|---|---|
| id | path | ID of rule | Yes | integer |
Responses
| Code | Description | Schema |
|---|---|---|
| 200 | OK | string |
| 405 | Invalid input |
Models
| Name | Type | Description | Required |
|---|---|---|---|
| result_type | string | Type of result | No |
| result_id | integer | ID of result | No |
| result | string | Displayed text of result | No |
| Rule |
| Name | Type | Description | Required |
|---|---|---|---|
| rule_type | string | Type of rule | No |
| rule_id | integer | ID of rule | No |
| call_number | string | Call number applying the rule | No |
| rule | string | Rule to interpret | No |
| Error |
| Name | Type | Description | Required |
|---|---|---|---|
| code | integer | No | |
| message | string | No | |
| fields | string | No |


The Waterfall model will be used in the software development life cycle of the proposed system.
— The Developers of CASSY, the Classroom and Administration Support System


Safety in numbers is no joke. Bonus points for ensuring your walking partner is verified by the campus. Even more points for pairing up users in close proximity with one another, looking to travel in the same direction.
We use the latest technology, ranging from Google's precise geolocation to Cisco Meraki's precise heatmap and tracking software. It's not just for show though; these different pieces of software come together to ensure you reach your destination safely and efficiently.
With all the talk about tracking and path-finding, it's hard to not feel worried about one's privacy. No worries, we understand. Your personal information is never saved for over 10 minutes, and you and your partner's destinations will remain anonymous to one another, as will your original location - we'll have you meet up at a neutral, popular location and commence your journey home from there.
Back-End Developer
Full-Stack Developer
Check out our individual projects and ambitions through the links above.


Welcome!
Does this page look like an OOTB WordPress installation? If you think so, then my goal is partially achieved! Actually, the page is generated from a static HTML file of which source is available
here. Looking at the source, you'll find it only contains this "Welcome" paragragh. Then where does the header (all stuff before this paragragh) and footer (all stuff afterwards) come from? The answer is this JS block:
<script type="text/javascript" src="/demo/"></script>
<script type="text/javascript">
unippear({
"headerContainer": "#wrapper",
"footerContainer": "#wrapper"
});
</script>
Factoring header, footer and associated assets (CSS, JS, img etc) out of a document isn't new. Almost all template engines are capable of. But those template engines are platform specific and thus only work for one website. Unipear turns the layout into a service to make it shareable among multiple websites. If this is of interest to you, return to
Unippear and keep reading.


MannequinChallenge is a dataset of video clips of people imitating mannequins, i.e., freezing in diverse, natural poses, while a hand-held camera tours the scene. The dataset comprises of more than 170K frames and corresponding camera poses derived from about 2,000 YouTube videos. The camera poses were computed using SLAM and bundle adjustment algorithms.
For more details on how we created the dataset see our CVPR 2019 paper, Learning the Depths of Moving People by Watching Frozen People. The MannequinChallenge dataset was used to train a deep network model for predicting dense depth maps from ordinary videos where both the camera and the people in the scene are freely moving. Because people are stationary and captured from different viewpoints, Multi-View Stereo (MVS) was used to estimate dense depth maps, which serveed as supervision during training.
This dataset is intended to aid researchers in their work on view synthesis, 3D computer vision, and beyond.
Ready to start using MannequinChallenge?


{{desc}}
unsaferaw_name:{{unsaferaw_name}}
stripped-body:{{stripped_name}}
notags-body:{{notags_name}}
url_name:{{url_name}}
email_name:{{email_name}}


If `filled` is an instance of [`RunOrg.Form.Filled`](/forms/filled.htm),
then `filled.Load()` reads its contents from the server (if any).
Returns a [promise](/concepts/promise.htm) that will resolve to the
`filled` object if it could be loaded.
var form = new RunOrg.Form("1ax69bfa335");
var filled = form.Fill("0SNQe0033JA");
filled.Load().then(function() {
console.log("Form instance contains: %o", filled.data);
});
var form = new RunOrg.Form("1ax69bfa335");
var filled = form.Fill("0SNQe0033JA");
filled.Load().then(function() {
console.log("Form instance contains: %o", filled.data);
}, function(error) {
if (error.HTTP == 404)
console.log("Form not filled for %s.", filled.owner)
else
console.log("An error happened: %o", error)
});
Returns the data entered into an instance of form `{id}` bound
to entity `{owner}`.
owner | | The identifier of the owner of this filled instance.
data | | Maps field names (as they are defined in the form itself)
to arbitrary JSON values which will be saved by RunOrg.
The contents of each field depend on the
[configuration](/forms/field.htm) of that field.
GET /db/0SNQc00211H/forms/0SNQe0032JZ/filled/0SNxd0002JZ?as=0SNxd0002JZ
200 OK
Content-Type: application/json
{ "data": {
"color": "orange",
"born" : "1985-04-18" },
"owner": "0SNxd0002JZ" }
# Errors
## Returns `401 Unauthorized`
- if the provided token does not grant access as the requester
## Returns `403 Forbidden`
- if the requester is can view the form, but not the requested
instance. For instance, without **admin** access, a person may only
view the instance bound to himself (`{owner} == {as}`), and not to
other persons. Access restrictions are defined for each type of
owner.
## Returns `404 Not Found`
- if database `{db}` does not exist
- if form `{id}` does not exist in database `{db}`
- if form `{id}` has not been filled for entity `{owner}`.
- if the requester is not allowed to view form `{id}`, to ensure
[absence equivalence](/concepts/absence-equivalence.htm).
# Access restrictions
Person must have the **fill** [access level](/forms/audience.htm)
access to the form, and be able to view the instance.
When owners are people, an instance may be viewed only by its owner or
by a person with **admin** access level.


Weather Dashboard
Search for a City
Enter a City
Search
search
Clear Search
clear
Current City
Temperature:
Humidity:
Wind Speed:
UV Index:
5 Day Weather Forecast
Temp:
Humidity:
Temp:
Humidity:
Temp:
Humidity:
Temp:
Humidity:
Temp:
Humidity:


Tank Girl (1995) 104m.
Most people who'd read the comics by Alan Martin and Jamie Hewlett hated this live-action film version, although I think that says more about the quality of the comic books than the movie. The setting is familiar enough: a post-apocalyptic future, mostly desert, with rag-tag rebels fighting an evil overlord for water. TANK GIRL doesn't want to commit to being set in either America or Australia, so settles for both (or neither) which would make more sense if the rest of the story was treated in the same way, i.e. an excerpt from a larger scenario rather than a complete arc. It was undoubtedly even more annoying for readers of the comic who saw Tank Girl's 'history' being rewritten for the screen.
The film-makers may have made some bad decisions in TANK GIRL but they did get the casting right for the lead role. Even though much of the casual vulgarity of the original character was removed, Lori Petty still makes a spunky, perky Tank Girl. I don't think we need to see the processes responsible for her transformation into the heroine of the title, however, nor the introduction to her friend Jet Girl (less convincingly assumed by Naomi Watts). Since Petty's character remains consistent throughout the movie, it wouldn't have mattered if Tank and Jet smashed their way on to the screen from frame one. In fact, the whole story is just wrong for these two characters - they should have had more desert time, tank time and jet time instead of spending most of the movie indoors. The rebel band of genetically modified kangaroo men ('rippers') is also a mistake. Their scenes drag and they fare no better than animated action figures. And lastly, the movie's potential star attraction - namely, the tank - is badly wasted. This overblown variation of the gun-as-penis metaphor is perfect for the sexually aggressive Petty (the theme from SHAFT plays when she drapes herself all over the tank's barrel, sighing "I'm in love" ) but appears too late into the story. The tank, an effectively scrappy composite of Rube Goldberg punk, is relegated to night sequences which fail to show it off to its best advantage; similarly Jet Girl's stolen jet makes only one appearance in its newly-liberated form before it gets repainted back into its former military colors.
With its lead characters, props and source material, TANK GIRL could have been a blast. Director Rachel Talalay was forced to cut material, but I doubt this missing footage would have improved the film. You may find yourself wishing that the film-makers had decided to ditch the live action concept and extended TANK GIRL's two brilliantly animated sequences into a full feature instead. Why not? Petty's already got that cartoon-character voice down pat.
<EMAIL_ADDRESS>========== X-RAMR-ID: 28996 X-Language: en X-RT-ReviewID: 240302 X-RT-TitleID: 1059295 X-RT-AuthorID: 1305
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


Engineering student's body fished out of Piglipur lake
by Abhinay DeshpandeThe body of a second-year engineering student Vishwakarma Sandeep Kumar (19), who went missing on Wednesday was fished out of Bommalachervu lake at Piglipur village in Abdullapurmet here on Thursday.
Sandeep Kumar slipped and drowned in the water when he, along with seven of his friends went to Boomalachervu lake on Wednesday afternoon.
Abdullapurmet inspector S. Devender said personnel of the National Disaster Response Force, firefighters, and expert fishermen carried out a search on Wednesday, but could not trace the body.
“We resumed the search today and traced Sandeep Kumar's body in the lake,” he said.
The victim, a native of Varanasi in Uttar Pradesh, was pursuing his second-year mechanical engineering at St. Mary’s College of Engineering and Technology in Deshmukh Colony. He rented a house and was staying with his friends in the same village.


Command Line Tools¶
dicom_crawler¶
DICOM DIRECTORY CRAWLER
This tool makes it easier to bulk-convert DICOM files into other formats (default NifTI). There are quite a lot of options, but most do not need to be changed.
You need to provide the input directory (-i), from which the crawler will recursively search through.
You might also like to change the naming format (using –image_format and –structure_format). The default is quite long, better suited for datasets with lots of imaging for a single patient.
Some examples:
[simple] –image_format {parent_sorting_data}
[compact] –image_format {parent_sorting_data}_{study_uid_index}
You can separate series using different values (–sort_by ). This would typically be PatientName, or PatientID, although any DICOM header tag is allowed.
I hope you find this tool useful!
If you have any feedback, let us know on github.com/pyplati/platipy
dicom_crawler [OPTIONS]
Options
-
-i
,
--input_dir
<input_dir>
¶ Required Input DICOM directory. This should be at the same level as the parent field (default=PatientName).
-
-o
,
--output_dir
<output_dir>
¶ Output directory. A folder structure will be created at this location.
- Default
./
-
-b
,
--sort_by
<sort_by>
¶ DICOM tag to sort at the highest level.
- Default
PatientName
-
--image_format
<image_format>
¶ Format for output images. There are three special options that can be used: parent_sorting_data (same as sort_by option), study_uid_index (a counter for distinct DICOM studies), image_desc (info from DICOM header, more nicely formatted). Additionally, any DICOM header tag can be used (e.g. Modality, SeriesNumber, AcquisitionData). Any DICOM header tag that doesn’t exist will return a 0.
- Default
{parent_sorting_data}_{study_uid_index}_{Modality}_{image_desc}_{SeriesNumber}
-
--structure_format
<structure_format>
¶ Format for output structures. Any of the options for images can be used, as well as: structure_name
- Default
{parent_sorting_data}_{study_uid_index}_{Modality}_{structure_name}
-
--dose_format
<dose_format>
¶ Format for output radiotherapy dose distributions.
- Default
{parent_sorting_data}_{study_uid_index}_{DoseSummationType}
-
--overwrite
¶
Overwrite files if they exist.
- Default
False
-
--file_suffix
<file_suffix>
¶ Output file suffix. Defines the file type.
- Default
.nii.gz
-
-s
,
--short_description
¶
Use less verbose descriptions for DICOM images.
- Default
False
segmentation¶
Run an auto-segmentation on an input image. Choose which algorithm to run and pass the path to the Nitfti input image OR a directory containing a DICOM series.
Optionally, pass in a configuration file for the segmentation algorithm. Output the default configuration for an algorithm using the –default flag.
segmentation [OPTIONS] [cardiac|bronchus] [INPUT_PATH]
Options
-
-c
,
--config
<config>
¶ Path to JSON file containing algorithm settings
-
-d
,
--default
¶
Print the default configuration for the selected algorithm
-
-o
,
--output
<output>
¶ Path to directory for output
Arguments
-
ALGORITHM
¶
Required argument
-
INPUT_PATH
¶
Optional argument
nifti_to_rtstruct¶
Convert Nifti masks to Dicom RTStruct
nifti_to_rtstruct [OPTIONS]
Options
-
-d
,
--dcm_file
<dcm_file>
¶ Required Reference DICOM file from which header tags will be copied
-
--debug
¶
Whether intermediate debug info is written
-
-m
,
--mask
<mask>
¶ Required Mask pairs with name,filename
-
-o
,
--out_rt_filename
<out_rt_filename>
¶ Required Name of RT struct output
nifti_to_series¶
Convert a Nifti image to a Dicom image series
nifti_to_series [OPTIONS]
Options
-
-d
,
--dcm
<dcm>
¶ Required Reference DICOM folder containing series from which header tags will be copied
-
-i
,
--image
<image>
¶ Required Nifti Image file to convert to Dicom series
-
-t
,
--tag
<tag>
¶ Override Dicom Tags by providing key:value pairs
-
-o
,
--output_directory
<output_directory>
¶ Directory in which Dicom series files will be generated
- Default
.
rtstruct_to_nifti¶
Convert a DICOM RTSTRUCT file to Nifti format.
rtstruct_to_nifti [OPTIONS]
Options
-
-i
,
--dcm_img
<dcm_img>
¶ Required Directory containing the image series linked to the contour to convert
-
-r
,
--dcm_rt_file
<dcm_rt_file>
¶ Required Dicom RTStruct file containing the contours to convert
-
-od
,
--output_dir
<output_dir>
¶ Directory in which to place converted files
- Default
.
-
-oi
,
--output_img
<output_img>
¶ Output name of converted image series
-
--spacing
<spacing>
¶ DICOM image spacing override with format x,y,z (0 indicates to leave as is, e.g. 0,0,3)


import {MatButtonToggleModule} from '@angular/material/button-toggle';
MatButtonToggleGroup
Exclusive selection button toggle group that behaves like a radio-button group.
Selector: mat-button-toggle-group
Exported as: matButtonToggleGroup| Name | Description |
|---|---|
@Input()
|
The appearance for all the buttons in the group. |
@Input()
|
Whether multiple button toggle group is disabled. |
@Input()
|
Whether multiple button toggles can be selected. |
@Input()
|
|
@Input()
|
Value of the toggle group. |
@Input()
|
Whether the toggle group is vertical. |
@Output()
|
Event emitted when the group's value changes. |
|
Selected button toggles in the group. |
MatButtonToggle
Single button inside of a toggle group.
Selector: mat-button-toggle
Exported as: matButtonToggle| Name | Description |
|---|---|
@Input()
|
The appearance style of the button. |
@Input('aria-label')
|
Attached to the aria-label attribute of the host element. In most cases, aria-labelledby will take precedence so this may be omitted. |
@Input('aria-labelledby')
|
Users can specify the |
@Input()
|
Whether the button is checked. |
@Input()
|
Whether ripples are disabled. |
@Input()
|
Whether the button is disabled. |
@Input()
|
The unique ID for this button toggle. |
@Input()
|
HTML's 'name' attribute used to group radios for unique selection. |
@Input()
|
MatButtonToggleGroup reads this to assign its own value. |
@Output()
|
Event emitted when the group value changes. |
|
Unique ID for the underlying |
|
The parent button toggle group (exclusive selection). Optional. |
| focus | |
|---|---|
|
Focuses the button. |
|
| Parameters | |
|
options? FocusOptions
|
|
MatButtonToggleChange
Change event object emitted by button toggle.
| Name | Description |
|---|---|
|
The button toggle that emits the event. |
|
The value assigned to the button toggle. |
MatButtonToggleDefaultOptions
Represents the default options for the button toggle that can be configured
using the MAT_BUTTON_TOGGLE_DEFAULT_OPTIONS
injection token.
| Name | Description |
|---|---|
|
Default appearance to be used by button toggles. Can be overridden by explicitly setting an appearance on a button toggle or group. |
ToggleType
type ToggleType = 'checkbox' | 'radio';
MatButtonToggleAppearance
Possible appearance styles for the button toggle.
type MatButtonToggleAppearance = 'legacy' | 'standard';
MAT_BUTTON_TOGGLE_DEFAULT_OPTIONS
Injection token that can be used to configure the default options for all button toggles within an app.
const MAT_BUTTON_TOGGLE_DEFAULT_OPTIONS: InjectionToken<MatButtonToggleDefaultOptions>;
MAT_BUTTON_TOGGLE_GROUP
Injection token that can be used to reference instances of MatButtonToggleGroup
.
It serves as alternative token to the actual MatButtonToggleGroup
class which
could cause unnecessary retention of the class and its component metadata.
const MAT_BUTTON_TOGGLE_GROUP: InjectionToken<MatButtonToggleGroup>;


|
Bullet Collision Detection & Physics Library
|
#include <btBatchedConstraints.h>
Classes | |
| struct | Range |
Public Types | |
| enum | BatchingMethod { BATCHING_METHOD_SPATIAL_GRID_2D, BATCHING_METHOD_SPATIAL_GRID_3D, BATCHING_METHOD_COUNT } |
Public Member Functions | |
| btBatchedConstraints () | |
| void | setup (btConstraintArray *constraints, const btAlignedObjectArray< btSolverBody > &bodies, BatchingMethod batchingMethod, int minBatchSize, int maxBatchSize, btAlignedObjectArray< char > *scratchMemory) |
| bool | validate (btConstraintArray *constraints, const btAlignedObjectArray< btSolverBody > &bodies) const |
Public Attributes | |
| btAlignedObjectArray< int > | m_constraintIndices |
| btAlignedObjectArray< Range > | m_batches |
| btAlignedObjectArray< Range > | m_phases |
| btAlignedObjectArray< char > | m_phaseGrainSize |
| btAlignedObjectArray< int > | m_phaseOrder |
| btIDebugDraw * | m_debugDrawer |
Static Public Attributes | |
| static bool | s_debugDrawBatches = false |
Definition at line 26 of file btBatchedConstraints.h.
| Enumerator | |
|---|---|
| BATCHING_METHOD_SPATIAL_GRID_2D | |
| BATCHING_METHOD_SPATIAL_GRID_3D | |
| BATCHING_METHOD_COUNT |
Definition at line 28 of file btBatchedConstraints.h.
|
inline |
Definition at line 52 of file btBatchedConstraints.h.
| void btBatchedConstraints::setup | ( | btConstraintArray * | constraints, |
| const btAlignedObjectArray< btSolverBody > & | bodies, | ||
| BatchingMethod | batchingMethod, | ||
| int | minBatchSize, | ||
| int | maxBatchSize, | ||
| btAlignedObjectArray< char > * | scratchMemory | ||
| ) |
Definition at line 1061 of file btBatchedConstraints.cpp.
| bool btBatchedConstraints::validate | ( | btConstraintArray * | constraints, |
| const btAlignedObjectArray< btSolverBody > & | bodies | ||
| ) | const |
Definition at line 46 of file btBatchedConstraints.cpp.
| btAlignedObjectArray<Range> btBatchedConstraints::m_batches |
Definition at line 44 of file btBatchedConstraints.h.
| btAlignedObjectArray<int> btBatchedConstraints::m_constraintIndices |
Definition at line 43 of file btBatchedConstraints.h.
| btIDebugDraw* btBatchedConstraints::m_debugDrawer |
Definition at line 48 of file btBatchedConstraints.h.
| btAlignedObjectArray<char> btBatchedConstraints::m_phaseGrainSize |
Definition at line 46 of file btBatchedConstraints.h.
| btAlignedObjectArray<int> btBatchedConstraints::m_phaseOrder |
Definition at line 47 of file btBatchedConstraints.h.
| btAlignedObjectArray<Range> btBatchedConstraints::m_phases |
Definition at line 45 of file btBatchedConstraints.h.
|
static |
Definition at line 50 of file btBatchedConstraints.h.


{% extends 'base_admin.html' %} {% block title %}Checkin Receipt | Lens and Lights at WPI{% endblock %} {% block content %}
The information below has been emailed to you.
{% now 'F jS, Y H:i' %}
{{ num_assets }} assets checked in{% if num_extra_assets %} + {{ num_extra_assets }} extra{% endif %}
{{ num_accessories }} accessories checked in{% if num_extra_accessories %} + {{ num_extra_accessories }} extra{% endif %}
Checked in from {{ checkin_from_name }}
{% if total %}
Total rental price: ${{ total|floatformat:2 }}/week
{% else %}
Total rental price cannot be calculated because some items are missing rental prices.
{% endif %}
| Asset Tag | Asset Name | Rental Price (per week) | Quantity |
|---|---|---|---|
| {{ asset_tag }} | {{ asset_info.name|safe }} | {% if asset_info.rental_price %}${{ asset_info.rental_price|floatformat:2 }}{% endif %} | {{ asset_info.quantity }} |
The following items were entered into the checkin form but they were never checked out to the specified user in the first place.
| Asset Tag | Asset Name | Rental Price (per week) | Quantity |
|---|---|---|---|
| {{ asset_tag }} | {{ asset_info.name|safe }} | {% if asset_info.rental_price %}${{ asset_info.rental_price|floatformat:2 }}{% endif %} | {{ asset_info.quantity }} |


It is an e-commerce app to show the products. This project is just to display the products with cool animation. It cannot support the transaction part since it is for product promotional app
Tech Stack: Flutter 2.0 (Null Safety)
on Development
A covid tracker app to get covid cases from REST API to discord bot. In this app, It will suggest home treatment and precaution. It will show the covid symptoms to the user
Tech Stack: Python3, Discord
Code
A covid tracker app to get covid cases from REST API to flutter app. In this app, It will suggest home treatment and precaution. It will show the covid symptoms to the user
Tech Stack: Flutter 2.0 (Null Safety)
Code
A Password-Generator CLI to create a strong password from the weak password. This password can be regenerated with the same password using the username and a weak password.
Tech Stack: Python3
Code
This app can create a wordlist with the custom word so that cracking the password is a bit easier. This tool can save the password either in a file or it will print the password list in the console
Tech Stack: Python3
Code
A small mobile browser. It will enable to use of all social media apps on full screen and It has many shortcuts to open some websites like a social media app, track flights, track cyclone.
Tech Stack: Kotlin (Android)
Code
It is a mobile game to play hand cricket game. It's the favorite indoor games for kids studying in school. This app is created with an easy interface so that kids can use it easily.
Tech Stack: Kotlin (Android)
Code
A CLI tool to encrypt and decrypt morse code language. It's will convert simple text to morse code and morse code to simple text. It's independent to external library.
Tech Stack: Pyhton3
Code


This is the intro
Some lorem ipsum
What is your name?
What is your Phone Number?
What is your Email Address?
Event Type?
A
Public
B
Private
Please select the DJ Setup you would like.
A
Standard Setup
B
Elegant Setup+$10
Please give your best guess of the size of the area/room.
A
Small
B
Medium
B
Large
Q3. Would you like to get started NOW?
A
Yes
B
No


{{/*### Handler=/team TitleBar=Team Include=user_group.html KyutGrill=team2.jpg */}} {{ define "tpl" }}
{{ .T "Developers add new features to the server, squash bugs, keep the server up and running and take care of its maintenance." }}
{{ .T "They don't do anything related to the community. Developers have a blue name in the in-game chat." }}
{{ .T "Community Managers deal with bans, silences, name changes and pretty much everything that has to do with the community." }}
{{ .T "They take care of our Discord server and reply to emails sent to the support services (Discord). Community Managers have a red name in the in-game chat." | html }}
{{ .T "Moderators manage the chat to make sure The Law™ (the rules) is respected and check around some players that may potentially be rule breaking." | html }}
{{ template "userGroup" (.Get "badges/members?id=%d" 1023) }}{{ .T "BATs play beatmaps in the ranking queue and decide whether they are good enough to be ranked or not." }}
{{ template "userGroup" (.Get "badges/members?id=%d" 1024) }}{{ .T "Here's a list of people who helped with Shibui" }}


Basic Validations
Text Input
Email Input
Text Area
Checkbox
Option 1
Option 2
Option 3
Radio Button
Male
Female
Multiselect
Cheese
Tomatoes
Mozzarella
Mushrooms
Pepperoni
Onions
Validate
Advanced Validations
Min. 8 Characters
Between 5-10 Characters
Min. Number ( >= 5 )
Between 20-30
Select Min. 2 Options
Option 1
Option 2
Option 3
Select Between 1-2 Options
Option 1
Option 2
Option 3
Validate


To reset the values to the default values simply delete the content of the textbox.
Button name:
Button aspect (CSS):
Print immediately:
Sortable translated (use | to separate each term):
Slip title
Intitution name:
Institution logo url:
Signature text:
Date localization (IETF BCP 47):
General (body):
Loans table:
Rotate table:
Institution:
Library:
Slip title:
User:
Loans list:
Only title:
Signature:
Save the Configuration


Biden Says He Doesn’t Actually Know What Hunter Did In Ukraine: ‘I Trust My Son’
Former Vice President Joe Biden grew defensive during an interview with Axios that aired Sunday evening, calling out reporter Mike Allen for asking about the allegations against his son and admitting he doesn’t actually know what Hunter Biden was doing to earn money on the board of an energy company in Ukraine.
“I don’t know what he was doing. I know he was on the board. I found out he was on the board after he was on the board. And that was it,” he said when asked about what knowledge he had of his son’s activities while he was vice president.
“Well you’ve had a lot of time, isn’t this something you’d want to get to the bottom of?” Allen asked.
“No, because I trust my son,” he said. “Unless there was something on its face that was wrong. There was nothing on its face that was wrong. If you want to talk about problems, let’s talk about Trump’s family.  This is — you guys are amazing. … You know there is not one single bit of evidence, not one little tiny bit to suggest anything done was wrong, you know that, but you keep asking me these questions. It’s okay, you’re doing what you have to do, but I’m not worried about it.”
Biden then laughed and criticized Allen for asking about the issue, which is, in part, at the center of the impeachment inquiry because of President Trump’s efforts to get the Ukrainian government to investigate Biden.
Biden also vowed that if elected president, he wouldn’t let his family make money overseas.


Signup For exotic Music
instant access to million of songs
Section listeneverywhere title
Unlimited ad free music
Download music and listen
Premium sounds better