Our group consits of:
Our chosen smart watch application is a simplistic weather forecasting tool. We understand that there is an abundance of weather related smart apps out on the market; however, this app will be unique from others, as it will present the weather data differently from related applications. Our apps focus point will be only one weather type at a time, which is selected by the user and interchangeable by a swipe across the screen. The idea here is for the user to select a weather of their choice, see if that weather is currently occurring and how long it will last for, or when from this moment in time it will occur next.
After searching the market place we understand that there is a similar app available however we will approach the build at a much more simplistic approach to avoid an information cluster/overload at the users mental expense. This is especially important for a smart watch application, as the screen size is minimal. Our prediction is that simplicity will prevail, resulting in a positive user experience.
Why a weather app of this nature? Almost all weather apps today focus on the day of the week and the weather occurring on that day. This is the most common way weather has been presented to us for all of time. So we’ve decided to approach this from a different angle and flip that presentation on its head, having the focus be on the weather rather than the day. We believe this could be refreshing to the user and give a lot of information in a very simple, easy to understand manner.
As a quick example; say UserX wants to paint his garden shed one afternoon and he is worried it will rain the next day before the paint has properly sealed. Instead of checking a weather app for the next coming days forecast in search of rain, he simply opens our app, scrolls to “sunshine” or something dry and this will immediately tell him the information he needs. Also note that this is all in a positive context, he wants sunshine so looks for sunshine, instead of wanting sunshine but looking for rain.
Below are some very early designs of how the app may look. These are subject to change and most likely will.
The weather data for our app will be pulled straight off the JSON data provided by the free Yahoo weather API. The data will be stored and used locally by the app program and updated as needed. The emulator will take care of all the control functions for the smart watch, things such as screen taps, swipes, button presses, current date and times as well as handling the audio and the display. The application will take care of processing the weather data and creating the displayed messages with a combination of graphics and text.
We will use Git as our chosen version control system throughout the entirety of this project. Git is already widely used in the community by developers, and is a trusted service. It is supported by over 200 programming languages and has proven to be a steady and reliable whilst remaining simple and easy to use. Git offers free user accounts, this allows the creation of unlimited repository’s from which we can clone, create branches, browse history and commit changes. Not to mention the robust security through SSL, HTTPS data transmission, also it provides easy access via a mobile device.
As two members of our group already have Git accounts it makes sense to use the service, and the free version allows up to 5 collaborators, which caters for us. The abundance of tutorials and help online will ensure that any member of the group with little or no experience of Git can quickly learn how to use the powerful platform.
In addition to this each group member will store their own back ups on either their own laptop/PC or a hard drive.
Our Git public repoitory can be found here.
The programming language we will use is JavaScript. We will use JavaScript because it is the required language specified in the assignment brief. JavaScript is one of the most simple, versatile and effective languages used to extend functionality in websites, which is beneficial to us as the goal is to run our application through the browser and an emulator. JavaScript is known for being relatively easy to learn (although this is a matter of opinion), so this could potentially aid the development process. In conjunction with raw JavaScript we will make much use of jQuery and any desirable plug-ins. A similar object-orientated programming structure will be in our favor given pervious experience of the group.
The visual side of the app will fall together as a conjunction of JavaScript and HTML, specifically the canvas element. No one in our group has any experience with the canvas element but have a good understanding of HTML, so we presume it shouldn’t be too taxing to learn.
The editor we will be using is atom. Firstly Atom is a cross platform IDE which benefits our group as we all work on different operating systems. Atom is also free to download and was developed by the GitHub community. Because of this we can seamlessly pull and push from the Git repository as well as use a lot of Git specific features. Atom can be used as a Git commit editor and comes with a package that allows this which will be very useful. Just like most good IDE’s, Atom has a lot of features to aid the entire development process such as, auto complete, find and replace, multiple viewing panes, and plenty of packages at the users disposable. Less importantly but also nice to note is that Atom has a very clean and visually pleasing environment to work in. Atom is highly customizable not only visually but also mechanically; most desired features are available via packages to download to set up exactly what you need, e.g. a complier of some sorts.
It is probably important to note that Atom is a very new editor/IDE, which could sound a few mental alarms. However it is highly supported and updated frequently which is reassuring. The group understands that it could’ve chosen a more established IDE with a solid track record, however the features and great usability offered in Atom have persuaded us to give it a go with confidence and high hopes.
To begin with we shall make use of all debugging features within our chosen IDE, Atom. Atom offers a downloadable package called the Hash Rocket. Hash Rocket is an inline code debugger that lets you watch the output of variables on comments. Hash Rocket is an easy way to debug JavaScript as well as other languages. Hash Rocket also has a real time mode available.
From there, after much research, we will make use of FireBug. Firebug is an extension of the web-browser Firefox, it makes editing and debugging CSS, HTML and JavaScript relatively straight forward. The features that are offered by FireBug are definitely worth the time to learn how to use. Such features that will be useful for us include the ability to inspect and edit HTML instantly; this feature also highlights changes made making it easier to see what exactly is happening. Another feature is the CSS tool, this helps fine tunes CSS sheets and also preview new styles on the spot. Along side many other great features such as the JavaScript ones, our group believes that FireBug will definitely be an effective tool to help us debug all of our work out of the Atom IDE.
W3Schools provides HTML validation which we shall use and regularly check the state of our HTML file. JSLint is also a familiar tool for the group used as a sorts of JavaScript validator.
| Task | Assignment 2 (Monday the 23rd of May) | Group member for task | Due Date | Estimated hours |
|---|---|---|---|---|
| 1 | Fully designed plan pen/paper copy web app and learn required skills. | Bayley, Joe | Complete | 3 |
| 2 | Emulator developed with functionality that can support some html. (doesn't have to have all browser support at this stage). | Reuben, Joe | 29th April | 12 |
| 3 | The CSS and HTML template for the web app completed (rough outline). | Bayley | 2nd May | 4 |
| 4 | Geo-Location | Blake, Reuben | 4th May | 4 |
| 5 | Implementation of the jQuery swipe function. | Bayley | 8th May | 5 |
| 6 | The animation choice of all weather symbols. | Joe | 10th May | 2 |
| 7 | Group progress evaluation 1st(May). | Blake | 11th May | 2 |
| 8 | Simple pulling of data from the (API) and parsing. | Blake, Bayley | 1st May | 5 |
This table is just estimation and may change as development continues.
Working through the costs that we may come across assuming we were a small startup group, we found that the costs were going to be quite large. To start with basic software requirements, the IDE/editor that we would use would be Atom. We would use atom as its free software and is fairly straightforward to use. Another good thing about Atom is that it has the version control system we are using backed into it. The version control we plan on using is GitHub, which is also free. With GitHub you can also get a small organization package that costs $25 per month, which would lead to $300 for a year.
The API we are planning on using for data to run the app is again for free, so no costs there. Moving to hardware, each member in the group would require their own laptop. Lets say a MacBook Pro each. A MacBook pro currently costs around $2,399 RRP in New Zealand, so four of these will cost $9596. Also with hardware, there may need to be some accessories such as mice for the laptops and hard drives, $300 at least. A small office space based in Dunedin that would be able to fit 4 people, roughly ranges between $7000 and $11000 per annum.
Office furniture will also be needed, which could cost around $1000 to $2000 to fill the office. Renewables for the office such as coffee, stationary, toilet paper etc., come at a cost around $500 per year. Also with utility costs for the office, the average costs would be $3000, and then with Internet on top of that. Last of all, each member would require some sort of income to live on, we believe that for a startup, a reasonable income per person would be $40,000 each, which comes to $160,000 in total. Overall cost for the startup company roughly with no other potential costs taken into account would roughly be around a staggering $186,396 for a whole year.
Written by: Joe Benn(#1790302), Reuben Storr(#7412087), Blake Carter(#7194569) and Bayley Millar(#2940325)


| Package | Description |
|---|---|
| org.trellisldp.agent |
Trellis AgentService implementation
|
| org.trellisldp.amqp |
Trellis AMQP Producer
|
| org.trellisldp.api |
Trellis Application Programming Interfaces
|
| org.trellisldp.app |
Trellis Deployable Application.
|
| org.trellisldp.app.auth |
Trellis Application auth services
|
| org.trellisldp.app.config |
Trellis Application Configuration
|
| org.trellisldp.app.health |
Trellis Application health checks
|
| org.trellisldp.audit |
Trellis Audit data writer
|
| org.trellisldp.constraint |
Trellis RDF Constraints
|
| org.trellisldp.event |
Trellis Event Serialization Implementation
|
| org.trellisldp.file |
File-based service implementations for Trellis.
|
| org.trellisldp.http |
Trellis HTTP Interfaces
|
| org.trellisldp.http.domain |
Trellis domain-specific HTTP classes
|
| org.trellisldp.id |
Trellis resource identifier generation service
|
| org.trellisldp.io |
Trellis resource input/output service (Jena)
|
| org.trellisldp.jms |
Trellis JMS Producer
|
| org.trellisldp.kafka |
Trellis Kafka Producer
|
| org.trellisldp.namespaces |
Trellis Namespace Service, based on a readable/writable JSON file
|
| org.trellisldp.triplestore |
Trellis ResourceService implementation using a Triplestore.
|
| org.trellisldp.vocabulary |
Trellis RDF Vocabularies
|
| org.trellisldp.webac |
Trellis WebAC Authorization service
|


Counts the number of occurrences of each value in an integer array.
tf.compat.v2.math.bincount
tf.math.bincount( arr, weights=None, minlength=None, maxlength=None, dtype=tf.dtypes.int32, name=None )
If minlength
and maxlength
are not given, returns a vector with length
tf.reduce_max(arr) + 1
if arr
is non-empty, and length 0 otherwise.
If weights
are non-None, then index i
of the output stores the sum of the
value in weights
at each index where the corresponding value in arr
is
i
.
values = tf.constant([1,1,2,3,2,4,4,5]) tf.math.bincount(values) #[0 2 2 1 2 1]
Vector length = Maximum element in vector values
is 5. Adding 1, which is 6
will be the vector length.
Each bin value in the output indicates number of occurrences of the particular
index. Here, index 1 in output has a value 2. This indicates value 1 occurs
two times in values
.
values = tf.constant([1,1,2,3,2,4,4,5]) weights = tf.constant([1,5,0,1,0,5,4,5]) tf.math.bincount(values, weights=weights) #[0 6 0 1 9 5]
Bin will be incremented by the corresponding weight instead of 1.
Here, index 1 in output has a value 6. This is the summation of weights
corresponding to the value in values
.
arr
: An int32 tensor of non-negative values.weights
: If non-None, must be the same shape as arr. For each value in
arr
, the bin will be incremented by the corresponding weight instead of
1.minlength
: If given, ensures the output has length at least minlength
,
padding with zeros at the end if necessary.maxlength
: If given, skips values in arr
that are equal or greater than
maxlength
, ensuring that the output has length at most maxlength
.dtype
: If weights
is None, determines the type of the output bins.name
: A name scope for the associated operations (optional).A vector with the same dtype as weights
or the given dtype
. The bin
values.
InvalidArgumentError
if negative values are provided as an input.


Created by Yuanyuan Tian, Yingqi Tang, Majid Farahani @ Oregon State University
Standing Rock
8,217
6,414
337,589
Standing Rock is an Indian Reservation located in North and South Dakota in the United States. Together with the Hunkpapa and Sihasapa bands, the Standing Rock Sioux Tribe is part of what was known as the Great Sioux Nation. In the 1960s, the Army Corps of Engineers and the Bureau of Reclamation built five large dams on the Missouri River, and implemented the Pick–Sloan Missouri Basin Program, forcing Native Americans to relocate from large areas to be flooded behind the dams. These dams were for flood control and hydroelectric power generation in the region. More than 200,000 acres on the Standing Rock Reservation and the Cheyenne River Reservation in South Dakota were flooded by the Oahe Dam alone.
As of 2015, poverty remains a problem for the displaced populations in the Dakotas. They have sought compensation for their towns submerged under Lake Oahe, and the loss of traditional ways of life.
Aquifer
Standing Rock
The pipeline is to be built by Texas-based Energy Transfer Partners and is designed to transport as many as 570,000 barrels of crude oil daily from North Dakota to Illinois. The pipeline would be a key conduit connecting oil wells in the state's Bakken Shale, where the development of fracking has opened billions of gallons of new oil to recovery, to other valuable consumer markets, including the Gulf Coast, Midwest and East Coast. The nearly $4 billion project was first proposed in 2014 with an anticipated completion of this year.
The Dakota Access Pipeline has drawn parallels to the Keystone XL pipeline. Opposition to that project, which Obama eventually rejected, became a litmus test in the eyes of some activists for public officials to show their commitment to addressing environmental issues. But at the same time significant differences remain. Perhaps most importantly, Keystone crossed into Canada, making it an international issue that gave authority over its final approval to the State Department. The federal government has the authority over the Dakota Access Pipeline because it crosses interstate waterways. Stopping the project would be challenging for any administration.
Aquifer
Standing Rock
Pipeline
The Sacred Stone Camp: has been protesting the Dakota Access pipeline since April. The location plays a major role in protecting the site. In August, it grew dramatically in scope.
The Oceti Sakowin Camp: a historic gathering for native tribes. They are also standing in solidarity to halt the Dakota Access Pipeline. The location is a world stage for environmental awareness and will act as a future indigenous meeting center.
Frontline Camp: Water protectors erected a new Frontline Camp directly in path of the Dakota Access Pipeline
Aquifer
Standing Rock
Pipeline
Protest Camp
More than 1 million people have checked in on Facebook to the Standing Rock Indian reservation in response to a viral post claiming that doing so would help protect activists in North Dakota protesting against an oil pipeline from police surveillance.
However...
when people check-in at Standing Rock,ND,
are they really standing there?
Hower on the Facebook icon and see
what people were talking about...
Q: Where are they?
A: EVERYWHERE.
check-in count
0-199
200-399
400-599
600-799
>800
They are not physically there.
They use social media as a cyber projection of themselves.
They show their support though virtual presence.
Location is not only where you are,
but also where you choose to stand.
“This Movement Has Been Special.”
--Leader of Standing Rock Sioux
Created by Yuanyuan Tian, Yingqi Tang, Majid Farahani @ Oregon State University


--- layout: page status: publish published: true title: United States Postal Service author: display_name: Jessie Pechmann login: jpechmann email<EMAIL_ADDRESS>url: '' author_login: jpechmann author_email<EMAIL_ADDRESS>wordpress_id: 3815 wordpress_url: http://gis.utah.gov/?page_id=3815 date: '2011-11-23 09:29:34 -0700' date_gmt: '2011-11-23 16:29:34 -0700' categories: [] tags: - sgid - Data - utah - gis - map - mapping - dataset - download - agrc - layer - shapefile - geodatabase - metadata - shp - gdb - kml - lyr - digital - geographic - information - database - state - statewide ---
Data Type: GIS Data Layer
Steward(s): AGRC/USPS
Abstract:
These datasets are related to mail delivery. Included are post office locations and zipcode boundaries in Utah.
Data Content:
The following data is available for download:
Other links for this dataset:
Last update: July 2008
1) Using local zipcode polygon data obtained from counties and cities.
2) Identifying place locations (cities, towns, populated areas, etc.) from the postal service website and address information system (AIS) and building zipcode boundaries around these places.
3) Using the 2000 Census TIGER line file’s zip code attributes.
In addition, AGRC has used the locations of mailing addresses known to be valid to fine tune this dataset. The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter coordinate precision).
The zipcode boundaries are maintained by AGRC.Questions can be directed to David Buell<PHONE_NUMBER>) at AGRC.
Other links for this dataset:
Last update:
July, 2015: Split the 84095 (South Jordan) zip code along the Bangerter Hwy to create the new zip code 84009 (South Jordan)
July, 2012: Salt Lake City and West Valley City zip code adjustments
July, 2012: adjusted 84638, 84648, 84649 to follow the Juab/Millard County boundary change
July, 2011


task. h
TaskHandle_t xTaskCreateStatic( TaskFunction_t pxTaskCode,
const char * const pcName,
const uint32_t ulStackDepth,
void * const pvParameters,
UBaseType_t uxPriority,
StackType_t * const puxStackBuffer,
StaticTask_t * const pxTaskBuffer );
Create a new task
and add it to the list of tasks that are ready to
run. configSUPPORT_STATIC_ALLOCATION must be set
to 1 in FreeRTOSConfig.h for this RTOS API
function to be available.
Each task requires RAM that is used to hold the
task state, and used by the task as its stack. If
a task is created using xTaskCreate() then the required RAM is
automatically allocated from the FreeRTOS heap. If a
task is created using xTaskCreateStatic() then
the RAM is provided by the application writer,
which results in a greater number of parameters,
but allows the RAM to be statically allocated at
compile time. See the Static Vs Dynamic allocation page for more
information.
If you are using FreeRTOS-MPU then it is recommended to use
xTaskCreateRestricted() in place of
xTaskCreateStatic().
- Parameters:
-
| pvTaskCode
|
Pointer to the task entry function
(just the name of the function that
implements the task, see the example
below).
Tasks are normally implemented as an infinite loop, and must never attempt to return
or exit from their implementing
function. Tasks can however delete
themselves.
|
| pcName
|
A descriptive name for the task.
This is mainly used to facilitate
debugging, but can also be used to obtain a task handle.
The maximum length of a task's name
is set using the
configMAX_TASK_NAME_LEN parameter in
FreeRTOSConfig.h.
|
| ulStackDepth
|
The puxStackBuffer parameter is used
to pass an array of StackType_t
variables into xTaskCreateStatic().
ulStackDepth must be set to the number
of indexes in the array.
See the FAQ How
big should the stack be?
|
| pvParameters
|
A value that will passed into the
created task as the task's parameter.
If pvParameters is set to the
address of a variable then the
variable must still exist when the
created task executes - so it is not
valid to pass the address of a stack
variable.
|
| uxPriority
|
The priority at which the created
task will execute.
Systems that include MPU support
can optionally create a task in a
privileged (system) mode by setting
bit portPRIVILEGE_BIT in uxPrriority.
For example, to create a privileged
task at priority 2 set uxPriority to
( 2 | portPRIVILEGE_BIT ).
|
| puxStackBuffer |
Must point to a StackType_t array
that has at least ulStackDepth indexes
(see the ulStackDepth parameter above)
- the array will be used as the task's
stack, so must be persistent (not
declared on the stack of a function). |
| pxTaskBuffer
|
Must point to a variable of type
StaticTask_t. The variable will be used
to hold the new task's data structures
(TCB), so it must be persistent (not
declared on the stack of a function). |
- Returns:
- If neither puxStackBuffer or pxTaskBuffer
are NULL then the task will be created, and the
task's handle is returned. If either
puxStackBuffer or pxTaskBuffer is NULL then the
task will not be created and NULL will be
returned.
Example usage:
/* Dimensions the buffer that the task being created will use as its stack.
NOTE: This is the number of words the stack will hold, not the number of
bytes. For example, if each stack item is 32-bits, and this is set to 100,
then 400 bytes (100 * 32-bits) will be allocated. */
#define STACK_SIZE 200
/* Structure that will hold the TCB of the task being created. */
StaticTask_t xTaskBuffer;
/* Buffer that the task being created will use as its stack. Note this is
an array of StackType_t variables. The size of StackType_t is dependent on
the RTOS port. */
StackType_t xStack[ STACK_SIZE ];
/* Function that implements the task being created. */
void vTaskCode( void * pvParameters )
{
/* The parameter value is expected to be 1 as 1 is passed in the
pvParameters value in the call to xTaskCreateStatic(). */
configASSERT( ( uint32_t ) pvParameters == 1UL );
for( ;; )
{
/* Task code goes here. */
}
}
/* Function that creates a task. */
void vOtherFunction( void )
{
TaskHandle_t xHandle = NULL;
/* Create the task without using any dynamic memory allocation. */
xHandle = xTaskCreateStatic(
vTaskCode, /* Function that implements the task. */
"NAME", /* Text name for the task. */
STACK_SIZE, /* Number of indexes in the xStack array. */
( void * ) 1, /* Parameter passed into the task. */
tskIDLE_PRIORITY,/* Priority at which the task is created. */
xStack, /* Array to use as the task's stack. */
&xTaskBuffer ); /* Variable to hold the task's data structure. */
/* puxStackBuffer and pxTaskBuffer were not NULL, so the task will have
been created, and xHandle will be the task's handle. Use the handle
to suspend the task. */
vTaskSuspend( xHandle );
}
Copyright (C) 2004-2010 Richard Barry. Copyright
(C) 2010-2016 Real Time Engineers Ltd.
Any and all data, files, source code, html
content and documentation included in the
FreeRTOSTM
distribution or available on this site are the
exclusive property of Real Time Engineers Ltd..
See the files license.txt (included in the
distribution) and this copyright notice for more information.
FreeRTOSTM and FreeRTOS.orgTM are trade marks of Real Time Engineers
Ltd.
|


Welcome to Localtunes!
Your very own offline web-based music player. Don't download an audio player ever again.
I had to cook this up, because, why not?
Credit for songs goes to
Bensounds
.
View on Github.
Wondering how to use?
{% for song_url in url_music %}
{{ song_url[6:-4]}}
{% endfor %}


| Welcome Back | Logout |
Ms. Lily is a teacher to sixth grade students. There are four students in her class who have disruptive behaviour by acting out and seeking attention. One day while Ms. Lily was teaching the class, they were talking and cracking up at each other. To her surprise, one of the students started dancing in the class. Even after the lunch time, when the rest of the class had already left back to the classroom, they were still playing. After the class has started, they walked 15 minutes late into the classroom when the quiz review is going on. During the quiz review, Ms. Lily has decided to review the quiz in groups. After forming their group, the boys talked so loud and asked questions that had already been answered out loud. In addition, while the class is going on, one of the boys was constantly sneezing. After each sneeze one of the other boys would say "bless you" loud. The behaviour of these four boys was making other students pay more attention to them than they were to the teacher. This is the case of disruptive behaviour in the classroom.


Climate Model Diagnostic Analyzer Overview
Motivation of this project
- Both the latest NRC Decadal Survey and IPCC Assessment Report stressed the need for the comprehensive and innovative evaluation of climate models with the synergistic use of global observations in order to maximize return on the investments made in Earth observational systems and also to capitalize on them for improving our weather and climate simulation and prediction capabilities.
- For over 40 years, NASA has accumulated Earth science datasets (~10 PB) along with many analysis tools. The rapidly growing datasets and analytics tools challenge individual scientists in organizing their work and concurrently challenge the whole community in sharing the datasets, tools, and derived knowledge.
Significance of this project
- A novel methodology to diagnose model biases in contemporary climate models, to identify the physical processes responsible for causing model biases, and to incorporate the understanding into new model presentation that reduce the model biases.
- An easy-to-use diagnostic analysis tool for the Earth science community: a web-service based, cloud-enabled, provenance-supported services, lowering adoption barrier and minimizing preparation work.
- An online collaborative environment for CMDA, where Earth scientists can easily publish their climate data and analytics tools, share them within groups, and find those of others.
What is CMDA?
- Is designed for the climate modeling and model analysis community to analyze climate data from models and observations.
- Provides tools to diagnostically analyze climate data for model validation and improvement: over 20 single- or multiple-variable analysis tools.
- Enables multi-aspect, physics-based climate data analyses.
- Facilitates comprehensive and synergistic use of observational data, reanalysis data, and model outputs.
- Collects provenance and supports provenance-based search.
- Manages analysis provenance for sharing results with other investigators.
- Is a web-based information system.
- Does not require local software/library installation.
- Provides all the input data needed for analysis: over 600 long-term datasets, over 50 different multi-domain variables.
Scientific Use Cases
We provide a few scientific use cases of CMDA: Scientific Use Cases Overview
Educational Use Cases
We also provide a few educational use cases of CMDA: Educational Use Cases Overview
Existing CMDA Stories
CMDA team successfully launched 2016 JPL Climate Sciences Summer School. Go to the site here.


Curv is an open source 3D solid modelling language, oriented towards 3D printing, procedurally generated art, and mathematical visualization.
It's easy to use for beginners. It's incredibly powerful for experts. And it's fast: all rendering is performed by the GPU.
Curv is also a uniquely expressive file format for the exchange of 2D and 3D procedurally generated graphics.
To boost expressiveness, the Curv language permits experts to define new CSG primitives using F-Rep. (Therefore, Curv functions must be compilable into GPU code.)
F-Rep is the most expressive representation for controlling a 3D printer. It can describe 3D-printable objects that can't be modeled by competing representations.
In a Constructive Solid Geometry (CSG) system, there is a set of primitive shapes, and operations for constructing new shapes by transforming and combining simpler shapes.
The operations normally include boolean operations like union, intersection and difference, and affine transformations like translate, scale and rotate.
Curv uses CSG as its high level geometry interface, and provides a rich set of predefined shapes and operations. Both 2D and 3D shapes are supported.
Curv is a pure functional language in which shapes are first class values, and CSG operations are functions that map shapes onto shapes.
:
torus (2,1) >> texture (i_radial 1, sRGB.hue) >> rotate {angle:tau/4, axis:Y_axis} >> twist (tau/3) >> lipschitz 2.2
:
smooth .1 .intersection ( torus (tau*4, tau*2), gyroid >> shell .2 >> lipschitz 2 >> bend (tau*12), ) >> colour (sRGB.HSV (1/3, 1, .5))
In Curv, Geometric shapes use Function Representation (F-Rep).
A shape contains functions that map every point (x,y,z) in 3D space onto the shape's properties, which may include spatial extent, colour, material.
F-Rep is the most expressive geometric representation.
Instead of approximating a shape using many copies of a single geometric primitive (like polygons, spline curves, or pixels), or a fixed number of geometric primitives (vector representations), F-Rep represents shapes using mathematical equations.
This means that exact representations of a vast number of geometric primitives are available.
F-Rep is compact and resolution independent. Shapes can be infinitely detailed, or infinitely large.
Curv provides a low level API for defining CSG primitives using F-Rep. Using this API, the entire CSG geometry API is defined using Curv code.
A circle primitive can be defined like this:
circle r = make_shape { dist(x,y,z,t) = sqrt(x^2 + y^2) - r, bbox = [[-r,-r,0], [r,r,0]], // axis aligned bounding box is_2d = true, }
Curv is a pure functional language, with both shapes and functions as first class values. Why?
Curv can be considered a file format for representing arbitrary geometric shapes and distributing them across the internet.
One requirement for such a file format is security: when you open a shape file, you don't want the shape file to encrypt all of your files and display a ransom message.
Curv is not a general purpose programming language. It doesn't have side effects, it can only compute values. So it meets this requirement.
Unique contribution of Curv: pure functional + CSG + F-Rep in one language.
Secret agenda: Pure functional programming for beginners, and for people who can't wrap their head around Haskell.
| Explicit Modelling | Implicit Modelling |
| Directly generate boundary points | Answer questions about particular points |
parametric equation (unit circle): (x,y) = (cos t, sin t) |
implicit equation (unit circle): x^2 + y^2 - 1 = 0 |
| Boundary Representations | Volumetric Representations |
| parametric splines | function representation |
| triangle mesh | pixels (2D), voxels (3D) |
These two classes have different strengths and weaknesses. Certain operations that are cheap for one class are expensive for the other class (and vice versa).
Conversions between the two classes are non-trivial:
Curv chooses F-Rep over B-Rep, but an engineering tradeoff is involved.
If you only know B-Rep procedural modelling, then learning F-Rep requires you to think different if you want to write efficient programs.
Instead of triangular meshes (like OpenSCAD), Curv represents shapes as pure functions (Function Representation or F-Rep). Why?
F-Rep is a more powerful and expressive representation than meshes.
Shapes can be infinitely detailed, infinitely large.
Any shape that can be described using mathematics can be represented exactly.
Meshes are approximations, F-Rep is exact.
As you apply a chain of successive geometry operations to a mesh, approximation errors can pile up.
With a mesh, simulating a curved surface with high fidelity requires lots of triangles (and memory). There is a tradeoff between accuracy of representation and memory/processing costs.
F-Rep can represent curved surfaces exactly, at low cost.
The cost of mesh operations goes up, often non-linearly, with the number of triangles.
For example, this is true for union and intersection.
F-Rep can implement most common geometric operations, like union and intersection, in small constant time and space.
With a mesh, complex shapes with a lot of fine detail require lots of triangles and are very expensive.
Examples are fractals, digital fabrics, metamaterials. OpenSCAD encounters these limits quite early. Many complex models that are 3D printable are out of reach.
F-Rep can represent infinite complexity for free.
Unlike subtractive manufacturing (eg, CNC milling), or moulding, where you only control the boundary of an object,
3D printing is an inherently volumetric manufacturing technology. 3D printers directly control the material placed at each voxel in a 3D volume.
There is a slogan for this: In 3D printing, complexity comes for free.
F-Rep is a volumetric representation, where functions map every point (x,y,z) in 3D space onto the properties of a shape. These properties include spatial extent, colour, material.
F-Rep is a better way to program a 3D printer.
Meshes: union and intersection are very hard to program, require an expert implementation like CGAL or Carve.
F-Rep: union and intersection are trivial.
Many more geometric operations available in open source, much easier to program.
The entire Curv geometry library can be written in Curv. Easier for users to define & distribute new CSG ops.
F-Rep is well suited to being directly rendered by a GPU.
Curv uses a specific type of F-Rep called Signed Distance Fields for representing the spatial extent of a shape.
A signed distance field is a function which maps each point in space onto the minimum distance from that point to the boundary of the shape.
An SDF is zero for points on the boundary of the shape, negative for points inside the shape, and positive for points outside of the shape.
An SDF is continuous, and differentiable almost everywhere.
The singular points that occur inside a shape are called the (Topological) Skeleton or Medial Axis.
For a 2D SDF, the isocurve at C is the curve that comprises all points with the distance value C.
For a 3D SDF, the isosurface at C is the surface that comprises all points with the distance value C.
For example, here's the SDF for a rectangle. Some isocurves are visible as contour lines:
The isocurve at 0 for this SDF is just the boundary of the rectangle.
The isocurve at 1 is:
Similarly, isocurves or isosurfaces at negative values correspond to negative offsets, Minkowski difference, or erosion from Mathematical Morphology.
In an Exact SDF, the distance field stores the exact distance from each point to the closest boundary.
(This is also called a Euclidean SDF, since we are using the Euclidean distance metric, and some researchers use alternative metric spaces to construct SDFs.)
We've been discussing Exact SDFs up to this point.
It turns out that it is sometimes difficult or expensive to construct Exact SDFs.
So, a distance function is permitted to underestimate the distance to the closest boundary, and the result is an Approximate SDF (aka a Distance Estimator (DE), or sometimes a Signed Distance Bound).
The simplest and cheapest implementation of a rectangle has an Approximate SDF that looks like this:
The positive isocurves of this SDF are also rectangles: they correspond to the "Mitred Offset" operation from CAD.

According to John C. Hart, author of the original academic papers on SDFs,
the only restriction is that an SDF cannot overestimate the distance from each point to the closest boundary.
In math terms, an SDF must be Lipschitz Continuous, with a Lipschitz constant of 1.
It's a continuous function which is limited in how fast it can change.
For every pair of points in an SDF, the absolute value of the slope of the line connecting the points is not greater than 1.
An approximate SDF does not have all of the nice properties of an exact SDF.
A possible future direction is that shapes contain metadata which describes the properties of their SDF.
Shortcuts which rely on certain properties can be enabled if the property is present.
Early F-Rep systems used a simple representation:
A geometry function f(p) indicates whether the point p is inside, on the boundary, or outside of the shape, by returning 3 different values (eg, a negative, zero or positive number).
This made it easy to write geometry functions.
Rendering was very expensive: It was done by blind sampling of points in a 3D grid (lots of function evaluations).
It wasn't accurate: if a small detail fell between grid points, it was lost.
This led to a period of experimentation, searching for an F-Rep with fast, accurate rendering.
SDF won over the competition because it is the simplest such F-Rep that works.
It's relatively simple to define, relatively cheap to compute, and doesn't require the distance field to have a derivative everywhere.
SDFs contain more information than inside/boundary/outside. Used for rendering:
Although SDFs are sometimes tricky to write, there is an army of people in the open source community who are designing new SDFs.
Curv benefits by using this popular F-Rep representation and sharing SDFs with the community, which includes:
One way to construct the SDF for a shape is to start with the shape's implicit equation, then algebraically transform it into a function with the same roots, but with a Lipschitz constant of 1.
Implicit equation for a circle of radius r:
x^2 + y^2 = r^2
If we rearrange this to:
x^2 + y^2 - r^2 = 0
then we have an implicit function that is zero on the boundary of the circle, negative inside the circle, and positive outside the circle.
Not an SDF: function value at p is the square of the distance from p to the origin, not the Euclidean distance.
We fix this by further transforming the equation:
sqrt(x^2 + y^2) = r sqrt(x^2 + y^2) - r = 0
and now we have a proper Euclidean SDF.
A Curv circle implementation:
circle r = make_shape { dist(x,y,z,t) = sqrt(x^2 - y^2) - r, ... }
Moral: Converting an implicit equation to an SDF requires care.
Typically, you will plot the candidate distance field, look for places where the gradient isn't 1, and construct an inverse transformation that maps 0 to 0 (leaving the boundary alone), but modifies the field at other points so that the gradient becomes 1.
There are 3 primitive boolean operations on SDFs: union, intersection, and complement.
(Others, like difference and symmetric_difference, can be defined in terms of the primitives.)
These operations are closed over approximate SDFs. However, they map exact SDFs to approximate SDFs.
The union of two shapes is the minimum of their distance fields:
union(s1,s2) = make_shape { dist p = min(s1.dist p, s2.dist p), ... }
This SDF is exact for any points outside of the shape, or at the boundary.
But the SDF is approximate inside the shape, in this case within the region where the circle and square intersect.
Intersection is computed using max.
The complement operation negates the distance field (and converts finite shapes into infinite ones).
In Curv, infinitely large shapes commonly have a simpler and cheaper representation than finite shapes.
A lot of finite shapes are constructed by intersecting two or more infinite shapes.
Most any shape with vertexes or straight line edges is probably built by intersection.
Let's construct a square of size 2*r.
We begin with an infinite half-plane, parallel to the Y axis, which extends along the X axis from -infinity to +r:
| dist(x,y) = x - r |
Now we will reflect the above half-plane through the Y axis, using the abs operator.
The result is an infinite ribbon that runs along the Y axis, bounded on the X axis between -r and +r:
| dist(x,y) = abs(x) - r |
Now we will construct a similar ribbon that runs along the X axis:
| dist2(x,y) = abs(y) - r |
Now we intersect these two ribbons, using the max operator:
| dist(x,y) = max(abs(x) - r, abs(y) - r) |
Curv is an array language, in which all arithmetic operations are generalized to work on arrays.
This is important for GPU compilation, since vectorized operations run faster.
So we will "vectorize" the above equation:
dist(x,y) = max(abs(x,y) - r)
Here's a square operator that constructs a square of size d:
square d = make_shape { dist(x,y,z,t) = max(abs(x,y) - d/2), ... }
A transformation warps or transforms a shape in some way, by warping or transforming the coordinate system in which it is embedded.
The affine transformations are the most familiar (translate, rotate, scale, etc)
But any coordinate transformation is possible (twist, taper, bend).
Translation:
translate (dx,dy,dz) S = make_shape { dist(x,y,z,t) = S.dist(x-dx,y-dy,z-dz,t), ... }
To apply an affine transformation to a shape S, the transformation's distance function dist(p) performs the inverse of the transformation to the argument p before passing it to S.dist.
For distance-preserving or rigid transformations (translate, rotate and reflect), that's all you need.
Otherwise, for non-rigid transformations (like scale, shear or twist), the resulting distance field will be messed up, and needs to be fixed.
For isotropic scaling, fixing the distance field is easy:
isoscale k S = make_shape { dist(x,y,z,t) = S.dist(x/k, y/k, z/k, t) * k, ... }
For anisotropic scaling, fixing the distance field requires an approximation:
scale(kx, ky, kz) S = make_shape { dist(x,y,z,t) = S.dist(x/kx, y/ky, z/kz, t) * min(kx, ky, kz), ... }
Fixing the distance field can sometimes be tricky.
If you can put an upper bound D on the derivative of the broken distance field, then divide the distance field by D and that's probably good enough.
If there's no upper bound, you need a more complicated fix.
The union operator is slow.
The cost of a union is equal to slightly more than the sum of the costs of the argument shapes. So if you have a shape that takes 1ms to render, and you union together 1000 copies of this shape, well now it takes 1s to render.
Fortunately, Curv has repetition operators which union together an arbitrary number of copies of a shape together, or even an infinite number of copies, in constant time and space.
Each repetition operator corresponds to a different mathematical symmetry. The most basic ones are:
Here's an example of translational repetition:
sphere 1 >> repeat_xy (1,1)
The repeat_xy operator is a coordinate transformation that uses the modulus operator to map coordinates in each cell onto the cell that is centered at the origin.
This has been called "space folding":
repeat_xy r shape = make_shape { dist(x,y,z,t) : shape.dist( mod(x + r[X], 2*r[X]) - r[X], mod(y + r[Y], 2*r[Y]) - r[Y], z, t), ... }
The use of symmetry to encode repetition is a key feature of Curv programming. This allows you to generate huge amounts of complexity very cheaply.
In Curv, time is the fourth dimension. Time is an extra parameter to distance functions and colour field functions. An animation is a shape or colour field that varies in time.
Time is represented by a floating point number, measured in units of seconds, like in ShaderToy. The zero point is arbitrary, and is not tied to clock time. Eg, for a movie, the zero point is the beginning of the movie.
Animation is always "turned on". Individual shapes and colour fields can be animated, in a modular way, without complicating their ability to be included in larger assemblies. Like putting an animated GIF into a web page.
Time is relative. Since time is a coordinate, it can be transformed. You can apply temporal transformations to speed up or slow down the passage of time within a shape, loop over a specified time range, concatenate a sequence of fixed length animations, etc.
You can define transformations that mix up time and space:
Since time is a coordinate, animated 2D shapes are actually static objects in 3D space-time, and animated 3D shapes are static objects in 4D space-time.
I intend to include time in the bounding box, so we can represent fixed duration animations with a start and end time.
I considered making time a global variable, like in OpenSCAD or Newtonian physics, but this design is more awesome.
A future goal is to import and export animated GIFs and video files.
Morphing from one shape to another is easy: linear interpolation between two distance fields.
Blends smoothly join nearby objects. Here are two circles, combined using different blending factors:
One application is filleting:
smooth .3 .union (cube 1, cylinder(.5,2))
Another application is "Skeleton Based Implicit Modelling", as illustrated by this image from the "Implicit Seafood" web site:
Blending operators are like generalized unions, but the same code (which I call a "blending kernel") can also be used to define generalized intersections.
A blended union takes two shapes, plus a "blending kernel", adding a "fillet" to interior corners created by the union.
A blended intersction takes two shapes plus a blending kernel, rounding away material from exterior corners created by the intersection.
There is also blended difference.
Here are some blending kernels from MERCURY.sexy, a demoscene group:
As you see, you can program a wide range of "decorative moulding" patterns.
SDFs and the Sphere Tracing algorithm were first described by inventor John C Hart in 1989 as an efficient algorithm for ray tracing (and thus visualizing) 3D fractals. Today it is still the best technique.
For large or deeply iterated 3D fractals, SDFs still win over other representations like triangle meshes or voxels: they require too much memory, and performing CSG operations like union or intersection on these bulky representations is too time consuming.
For the 3D fractal art community, SDFs are the technology of choice, being the basis for popular tools like MandelBulber and MandelBulb3D.
Because Curv uses the same internal representation (SDFs), the same model should be portable to Curv.
A noise function maps each point in 2D or 3D space onto a pseudo-random noise value in the range [0...1].
Fractal noise is a popular noise function, good for simulating natural phenomena like smoke, flames, clouds, mountains, and solid textures like marble or wood.
Here's a 3D solid texture I hacked together in Curv using fractal noise:
White noise: Each (x,y) or (x,y,z) coordinate is mapped to a uniformly distributed pseudo-random number using a hash function.
Value Noise: Random values are generated at lattice points. The noise value at a point is interpolated from nearby lattice points.
Gradient noise: Random gradients are generated at lattice points. The gradient of a point is interpolated from the nearby lattice points. The gradient is converted to a noise value. Smoother than value noise, with fewer grid artifacts. (Examples: Perlin noise, Simplex noise.)
Fractal noise (Fractal Brownian Motion): Gradient noise is generated at a series of higher frequencies (smaller lattice spacings), and added together. Higher frequencies are attenuated.
Many more noise functions have been invented.
Sphere Tracing (sometimes called "ray marching") is the variant of ray tracing used to render SDFs on a graphics display.
It's efficient enough to support real time animation of an SDF using a GPU.
Sphere Tracing and the SDF representation were invented together, by John C Hart, to solve the problem of fast, flexible, accurate ray tracing for Function Representation.
Once the ray reaches the surface, we colour & light the pixel.
Naive: cost (N-ary union) = sum of the costs of the N arguments. Too expensive for large N.
Smart: partition space into disjoint subspaces. Maybe use multiple levels or a tree structure. During SDF evaluation, first determine what subspace you are in (eg by walking the tree), then evaluate the SDF for that subspace.
Can be done manually, using F-Rep API, but nicer to do it automatically. Eg,
Dreams by Media Molecule https://www.youtube.com/watch?v=4j8Wp-sx5K0
In Curv, a shape value may be 2D, 3D, or both.
The dimensionality is used to choose whether the 2D or 3D viewer is used, and to determine if the shape is eligible for export to various graphic file formats.
There is a single distance function used by both the 2D and 3D cases.
A shape value is represented by a record, with fields:
In the future, I'd like to support multiple shape subclasses, with specialized CSG operations that work only on shape subtypes.
For example, I'd like to implement the Conway polyhedron operators (which transform one polyhedron into another). Polyhedrons will contain vertex/edge/face information.
The Shape Compiler translates a shape to GPU code for rendering that shape.
The shape's distance and colour functions are compiled into a fragment shader or compute kernel.
GPU compute kernels are written in a primitive subset of C which lacks recursive functions and memory allocation, and has limited support for pointers and global variables. If I target WebGL, there is only limited support for iteration.
Here's how GPU code generation works:
As I extend the F-Rep API to make Curv faster and more powerful, the GL subset of Curv is growing to embed an increasingly larger subset of the GLSL shader language.


VERSION CONTROL
Why, how, where...?
14 June 2015
Version Control as discussed here is the disciplined practice followed by developers to monitor and manage changes to software and related components. They do so because Version Control provides three main benefits:
- reversion
- distribution
- documentation
Incorrect changes can be reversed easily and then resolved appropriately. Large efforts can be broken into small, manageable tasks that many decentralized resoures (developers) can work on concurrently. VC tools typically require developers to document the why and what of each change they promote, which creates an ongoing record that in turn supports auditing and other due diligence business activities. Naturally, developers have developed many different VC environments, one of which is Git.
Git provides tools that automate and apply discipline to the practice of creating working copies of original objects, tracking changes to the working copy, commiting vetted changes and then integrating the changes along with their documentation back into the now-updated original object. Git keeps track of branches (copies), their status, and process updates including resolution of conflicts between competing changes to the same object. Git can readily exchange content back and forth with GitHub.
Through that mechanism, GitHub connects the isolated environs of "your computer" to a large and social developer community. The Hub offers cloud storage of code repositories, moderates integration of changes pushed to repositories, and also hosts websites and blogs. Plus, your profile page encourages participation by graphically depicting activity and posting your stats.


{% macro sample_status(sample_id, sample_statuses, lims_url) -%} {# args: sample_id (string) sample_statuses (dict) - contains information about the sample sample_statuses.statuses (list) - list of status with date and inner processes from the LIMSDB REST API. lims_url (string) - the url to the LIMS to create links #}
| {{ status.name }} | {{ status.date }} {{ status.processes|length }} | ||||
|---|---|---|---|---|---|
| {{ process.name }} | {{ process.date }} | {% elif process.type == 'progress' %}{{ process.name }} | {{ process.date }} In Progress | {% else %}{{ process.name }} | {{ process.date }} Queued | {% endif %}


I'm a massive nerd lol, I've written this websie in Memel. A new language for web development
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==
or !=
is applied to a newly allocated object
instead of an equals()
call. Newly allocated objects cannot be equal to other
objects, thus the compared objects are always unequal. The inspection also may detect newly
created objects returned from simple methods.
Example:
void test(Object obj) { if (new Object() == obj) {...} }
After the fix is applied, the result will be like this:
void test(Object obj) { if (new Object().equals(obj)) {...} }
New in 2018.3


main
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POST /auth/register
Registers a user with a username and password
Request Body{ username: String, password: String, }
{ data: { token: "JWT_TOKEN" } }
POST /auth/login
Logs in a registered user
Request Body{ username: String, password: String, }
{ data: { token: "JWT_TOKEN" } }
token
(received from registering/logging in) header to
the requests
GET /posts
Returns all post records
Response Body{ _id: String, title: String, description: String, date: Date }
GET /posts/:postId
Returns a specific post record
Parameters:postId
The ID of the post you want to retrieve information for
POST /posts
Submits a post to the database
Request Body{ title: String, description: String, author: String, }
PATCH /posts/:postId
Updates a post in the database
Parameters:postId
The ID of the post you want to retrieve information for
{ title: String, }
DELETE /posts/:postId
Removes a post in the database
Parameters:postId
The ID of the post you want to retrieve information for


Apr 14 2019
Maximizing gains for an agent interacting with a model using goal directed learning. There is always a model but there is no canonical measure of gain.
A MDP is defined by states, \(S\), actions, \(A\), rewards, \(R\subseteq\bold{R}\), and transition probabilities, \(p(s',r'|s,a) = P(S_{t+1} = s', R_{t+1} = r'\mid S_t = s, A_t = a)\), the probability of moving to state \(s'\) and receive reward \(r'\) given the agent is in state \(s\) and takes action \(a\) at time \(t\), \(s\stackrel{a/r'}{\rightarrow}s'\).
Some models specify \(A_s\subseteq A\), for \(s\in S\), the set of possible actions when in state \(s\).
At time \(t\) the agent chooses an action \(a\). This results in a new state, \(s'\), and reward, \(r'\), at time \(t+1\) according to the transition probabilities.
A policy, \(\pi(a|s)\), specifies the probability of taking action \(a\) given the agent is in state \(s\). This results in the sequence of random variables \(S_{t + k + 1}\), \(R_{t + k + 1}\), \(k\ge0\), given \(S_t = s\).
Reinforcement learning is the study of how to find the optimal policy for a given definition of optimal.
A gain (or loss) function is any function of future rewards, \[ G_t = g_t(R_{t+1}, R_{t+2}, \ldots). \] Common choices are are average rewards \[ G_t = (1/k) \sum_{j=1}^k R_{t + j + 1} \] and exponential decay \[ G_t = \sum_{k\ge0} \gamma^k R_{t + k + 1}, \] where \(0<\gamma<1\) is the discount factor.
The state-value function for policy \(\pi\) is \(V_\pi(s) = E[G_t\mid S_t = s]\). (Note that, by the Markov property, it does not depend on \(t\).) We want to find \(V^*(s) = \max_\pi V_\pi(s)\). Note \[ V_\pi(s) = \sum_a \pi(a|s) \sum_{s',r'} p(s',r'|s,a)[r' + \gamma V_\pi(s')] \] for exponential decay and \[ V^*(s) = \max_{a\in A_s} \sum_{s',r'} p(s',r'|s,a)[r + \gamma V^*(s')], \] is called the Bellman optimality equation.
The action-value function for \(\pi\) is \(Q_\pi(s,a) = E[G_t\mid S_t = s, A_t = a]\). We want to find \(Q^*(s,a) = \max_\pi Q_\pi(s,a)\). Note \[ Q^*(s,a) = E[R_{t+1} + \gamma V^*(S_{t+1})|S_t = s, A_t = a]. \] gives the optimal value function.
An \(n\)-armed bandit is a MDP with one state and \(n\) actions. The general idea behind a solution is to explore the \(n\) available actions and exploit the most promising. In this case the action-value function does not depend on the state. If we knew the reward distributions for each action then the optimal strategy would be to always select the action with the largest expected value.
The \(\epsilon\)-greedy strategy selects the action maximizing the current action-value function with probability \(1-\epsilon\) and a random action with probability \(\epsilon\). The action-value function is updated based on the observed reward.
The first visit Monte Carlo prediction approximates the state-value function for a given policy. Choose an initial state-value function \(V(s)\). Generate a run using policy \(\pi\). For each state in the run, \(V(s)\) is the average of the returns following \(s\).
p(a|s) only works because of the Markov property.


Current Winnings:$
Dealer's Score:
Dealer's Cards
Current Score:
My Cards
Bet:
Play Blackjack
Hit
Stand
New Game


|
XLabs
Cross-platform reusable C# libraries
|
Classes | |
| class | CameraMediaStorageOptions |
| Class CameraMediaStorageOptions. More... | |
| interface | IAudioStream |
| Interface IAudioStream More... | |
| interface | IMediaPicker |
| Interface IMediaPicker More... | |
| interface | ISoundService |
| Interface ISoundService Enables playing any type of sound More... | |
| class | MediaExtensions |
| Class MediaExtensions. | |
| class | MediaFile |
| Class MediaFile. This class cannot be inherited. More... | |
| class | MediaFileHelpers |
| Class MediaFileHelpers. | |
| class | MediaFileNotFoundException |
| Class MediaFileNotFoundException. More... | |
| class | MediaPickedEventArgs |
| Class MediaPickedEventArgs. | |
| class | MediaPicker |
| Class MediaPicker. More... | |
| class | MediaPickerActivity |
| Class MediaPickerActivity. | |
| class | MediaPickerArgs |
| Class MediaPickerArgs. More... | |
| class | MediaPickerController |
| Class MediaPickerController. This class cannot be inherited. More... | |
| class | MediaPickerDelegate |
| Class MediaPickerDelegate. | |
| class | MediaPickerErrorArgs |
| Class MediaPickerErrorArgs. More... | |
| class | MediaPickerPopoverDelegate |
| Class MediaPickerPopoverDelegate. | |
| class | MediaStorageOptions |
| Class MediaStorageOptions. More... | |
| class | Microphone |
| Class Microphone. More... | |
| class | SoundFile |
| Class SoundFile. More... | |
| class | SoundFinishedEventArgs |
| Class SoundFinishedEventArgs. More... | |
| class | SoundService |
| Class SoundService. More... | |
| class | VideoMediaStorageOptions |
| Class VideoMediaStorageOptions. More... | |
| class | WaveRecorder |
| Class WaveRecorder. More... | |
| class | XnaMicrophone |
| Class XnaMicrophone. More... | |
Typedefs | |
| using | Environment = Android.OS.Environment |
| using | Uri = Android.Net.Uri |
Enumerations | |
| enum | CameraDevice { CameraDevice.Rear, CameraDevice.Front } |
| Enum CameraDevice More... | |
| enum | VideoQuality { VideoQuality.Low = 0, VideoQuality.Medium = 1, VideoQuality.High = 2 } |
| Enum VideoQuality More... | |
| using XLabs.Platform.Services.Media.Environment = typedef Android.OS.Environment |
| using XLabs.Platform.Services.Media.Uri = typedef Android.Net.Uri |
|
strong |
|
strong |


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{{ define "main" }} {{ partial "intro.html" . }} {{ partial "projects.html" . }} {{ partial "mission.html" . }} {{ partial "blogs.html" . }} {{ end }}


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Cats.com/ Assessment
Screenshot:
- Cats.com/ Assessment
- Accessibility
- Form elements do not have associated labels WCAG 3.3.2
- Background and foreground colors do not have a sufficient contrast ratio. WCAG 1.4.3
[user-scalable="no"]
is used in the<meta name="viewport">
element or the[maximum-scale]
attribute is less than 5. WCAG 1.4.4[accesskey]
values are unique WCAG 2.1- The page has a logical tab order WCAG 2.4.3
- Interactive controls are keyboard focusable WCAG 2.1.1
- Interactive elements indicate their purpose and state WCAG 1.4.1 WCAG 1.3.3
- The user's focus is directed to new content added to the page WCAG 3.2.2
- User focus is not accidentally trapped in a region WCAG 2.1.2
- Custom controls have associated labels WCAG 4.1.2
- Custom controls have ARIA roles WCAG 4.1.2
- Visual order on the page follows DOM order WCAG 1.3.2
- Offscreen content is hidden from assistive technology WCAG 2.1.1 WCAG 2.4.3
- Headings don't skip levels WCAG 2.4.6
- HTML5 landmark elements are used to improve navigation WCAG 1.3.1 WCAG 2.4.1
Accessibility
These checks highlight opportunities to improve the accessibility of your web app. Only a subset of accessibility issues can be automatically detected so manual testing is also encouraged.
These items address areas which an automated testing tool cannot cover. Learn more in our guide on conducting an accessibility review.
Form elements do not have associated labels WCAG 3.3.2
Labels ensure that form controls are announced properly by assistive technologies, like screen readers. Learn more.
This element is missing a label
Visual location:
HTML location:
<input id="phone" name="phone" type="tel" placeholder="Enter your phone number" autocomplete="off" required="required">
Suggested solution:
Add <label for="something">
to associate the label with that form field. If the form element does not have an ID attribute to associate add id="something"
.
If you wish to visually hide the label then add a class like .sr-only
or .element-invisible
to the <label>
.
If that already exists, add a placeholder
attribute. Hidden labels require a placeholder
attribute so people know what the field is for.
Other options:
Fix any of the following:
aria-label attribute does not exist or is empty
aria-labelledby attribute does not exist, references elements that do not exist or references elements that are empty
Form element does not have an implicit (wrapped) <label>
Form element does not have an explicit <label>
Element has no title attribute or the title attribute is empty
Additional debugging details
Path:
1,HTML,1,BODY,1,SECTION,0,DIV,1,DIV,0,FORM,1,DIV,0,INPUT
Selector:
#phone
Background and foreground colors do not have a sufficient contrast ratio. WCAG 1.4.3
Low-contrast text is difficult or impossible for many users to read. Learn more.
The element "Give Me 20% Off" has low contrast.
Visual location:
HTML location:
<button id="notify_me" type="submit">Give Me 20% Off</button>
Suggested solution:
Element has insufficient color contrast of 2.37 (foreground color: #ffffff, background color: #ff847d, font size: 16.5pt, font weight: normal). Expected contrast ratio of 4.5:1
Find a color with higher contrast.
Additional debugging details
Path:
1,HTML,1,BODY,1,SECTION,0,DIV,1,DIV,0,FORM,2,BUTTON
Selector:
#notify_me
[user-scalable="no"]
is used in the <meta name="viewport">
element or the [maximum-scale]
attribute is less than 5. WCAG 1.4.4
Disabling zooming is problematic for users with low vision who rely on screen magnification to properly see the contents of a web page. Learn more.
This <meta>
tag has attributes that are detrimental to accessibility.
HTML location:
<meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=1">
Suggested solution:
If applicable:
Change
maximum-scale=1.0
to at leastmaximum-scale=5
.Remove the
user-scaleable=no
attribute from the meta tag.
Other options:
Fix any of the following:
maximum-scale on <meta> tag disables zooming on mobile devices
Additional debugging details
Path:
1,HTML,0,HEAD,1,META
Selector:
meta[name="viewport"]
[accesskey]
values are unique WCAG 2.1
I need a human! Manual Test: [accesskey]
values are unique
Description:
Access keys let users quickly focus a part of the page. For proper navigation, each access key must be unique. Learn more.
Using the accesskey
attribute is discouraged because they can interfere with assistive technology. On most websites they are not necessary or helpful. If they do exist, they must be unique.
The page has a logical tab order WCAG 2.4.3
I need a human! Manual Test: The page has a logical tab order
Description:
Tabbing through the page follows the visual layout. Users cannot focus elements that are offscreen. Learn more.
Interactive controls are keyboard focusable WCAG 2.1.1
I need a human! Manual Test: Interactive controls are keyboard focusable
Description:
Custom interactive controls are keyboard focusable and display a focus indicator. Learn more.
Pay special attention to menus. The user should be able access the entire menu with the keyboard alone.
Interactive elements indicate their purpose and state WCAG 1.4.1 WCAG 1.3.3
I need a human! Manual Test: Interactive elements indicate their purpose and state
Description:
Interactive elements, such as links and buttons, should indicate their state and be distinguishable from non-interactive elements. Learn more.
Pay special attention to buttons and links. For example, links and buttons should have obvious :hover and :focus states that meet WCAG 2.0 AA contrast requirements.
The user's focus is directed to new content added to the page WCAG 3.2.2
I need a human! Manual Test: The user's focus is directed to new content added to the page
Description:
If new content, such as a dialog, is added to the page, the user's focus is directed to it. Learn more.
Pay special attention to popup windows like ads or email signup solicitations.
User focus is not accidentally trapped in a region WCAG 2.1.2
I need a human! Manual Test: User focus is not accidentally trapped in a region
Description:
A user can tab into and out of any control or region without accidentally trapping their focus. Learn more.
Custom controls have associated labels WCAG 4.1.2
I need a human! Manual Test: Custom controls have associated labels
Description:
Custom interactive controls have associated labels, provided by aria-label or aria-labelledby. Learn more.
Custom controls have ARIA roles WCAG 4.1.2
I need a human! Manual Test: Custom controls have ARIA roles
Description:
Custom interactive controls have appropriate ARIA roles. Learn more.
Visual order on the page follows DOM order WCAG 1.3.2
I need a human! Manual Test: Visual order on the page follows DOM order
Description:
DOM order matches the visual order, improving navigation for assistive technology. Learn more.
Textise is a neat tool for inspecting the natural order of the website. View this website on Textise. If nothing has been done in JS to interfere the natural tab order, looking at that or viewing the source will basically follow the order of the markup.
Offscreen content is hidden from assistive technology WCAG 2.1.1 WCAG 2.4.3
I need a human! Manual Test: Offscreen content is hidden from assistive technology
Description:
Offscreen content is hidden with display: none or aria-hidden=true. Learn more.
Pay special attention to menus. For example, the focus indicator should not be lost while tabbing through a menu.
Headings don't skip levels WCAG 2.4.6
I need a human! Manual Test: Headings don't skip levels
Description:
Headings are used to create an outline for the page and heading levels are not skipped. Learn more.
HTML5 landmark elements are used to improve navigation WCAG 1.3.1 WCAG 2.4.1
I need a human! Manual Test: HTML5 landmark elements are used to improve navigation
Description:
Landmark elements (<main>, <nav>, etc.) are used to improve the keyboard navigation of the page for assistive technology. Learn more.
Most websites are required to have some way to skip to the main content of a webpage. This can be done by using skip-to by-pass block as the first keyboard focusable link on the page. Alternatively, or in addition to that method adding landmarks for <header>
, <footer>
, and <main>
attribute will allow screen reader users to easily access all parts of the webpage.
This accessibility assessment was generated from a Chrome Lighthouse report. The Accessibility portion of Chrome Lighthouse is largely sourced from Deque's Axe-core engine.
Thorough testing should also include testing with the WAVE Web Accessibility Evaluation tool.
Accessibility testing also requires a human to determine the validity and seriousness of an issue. Automated tests like this only catch about 40% of accessibility issues. For example, automated tests cannot tell if a menu is keyboard accessible. Please follow the checklist of manual items that require a human to test.
You can re-run the automated section of this report yourself using the open-source OpenAssessIt project on GitHub.


|
| Page date Thu Nov 1 18:28:55 2012 . | Improve this page |
Since the usual development platform is based on Windows, most of the below programs are Windows programs. However GNU/Linux and OS X versions of the toolchains are also available, so it should pe perfectly possible to use other platforms for µOS++ development.
Although the first versions of µOS++ included a classic makefile build procedure, maintaining it proved difficult, and starting with version 3.1 the recommended build environment is the Eclipse CDT. We acknowledge the need for an unmanned build procedure, and plan to include one in the future major redesign, but currently there is no support for other IDE than Eclipse.
The Java Virtual Machine is required for running Eclipse. The current minimum to satisfy Eclipse is currently Java 5 JRE, but we recommend using the latest version available.
Java JRE is publicly available for download from Oracle.
Eclipse is currently one of the most used development environments. Initially intended for Java development, it was soon expanded to support other languages too. Since µOS++ is written in C++, the recommended Eclipse package is Eclipse IDE for C/C++ Developers, but any other package that includes the CDT can be used as well.
The Eclipse IDE is publicly available for download from Eclipse.org. The recommended version is 3.7.2, except for AVR32, since the Atmel provided plug-ins work up to version 3.6.2
The default Eclipse is configured to use limited amounts of memory. For large workspaces, it is recommended you edit the eclipse.ini file and increase it:
-Xms256m
-Xmx768m
Although using a single Eclipse for multiple projects in different languages is perfectly possible, it is recommended to try to keep things as modular and separate as possible, and preferably install a dedicated Eclipse instance for the µOS++ projects.
The GNU Toolchain provides all required tools for cross compiling the micro-controller code on the development machine. Install one or more toolchains, according to the target micro-controller you plan to use.
Follow individual toolchain installation procedures. To avoid surprises, it is recommended to update the PATH to include the toolchain binary directory.
The basic Eclipse CDT is able to manages builds only for the same platform where Eclipse is executed. In order to cross build micro-controller code on Eclipse, additional plug-ins are required, to extend the Eclipse CDT Managed Build mechanism for other GNU Toolchains.
For ARM, the recommended toolchain is Sourcery CodeBench Lite Edition for ARM EABI available both for Windows and GNU/Linux. Be sure you download the EABI version, from the download page, not the GNU/Linux Target OS one, since this is intended to generate GNU/Linux executables, not barebone embedded flash images.
The version available since 2011-12-19 is 2011.09-69, providing GCC 4.6.1.
For OS X, although Sourcery CodeBench Lite Edition for ARM currently does not provide a binary distribution, the available sources can be easily compiled on Mac OS X (for details please read the Toolchain installation page).
Eclipse support for GNU toolchains is provided by Eclipse GNU ARM Plug-in, an Eclipse CDT plug-in supporting GNU ARM toolchains like Sourcery CodeBench Lite, GNUARM, WinARM, Yagarto. Additional support for installing the toolchains might be available on the GNU ARM Plug-in documentation.
To install this plug-in, use the Eclipse standard install/update mechanism:
Eclipse menu: Help → Install New Software
On OS X, the procedure checking the environment might complain that some of the tools are not available.
For AVR8 there are not as many options; on Windows the recommended toolchains is WinAVR, publicly available for download from SourceForge. Similar toolchains are available for GNU/Linux, although small differences might occur (due to different patches applied to the original GCC source tree).
For OS X, one toolchain is CrossPack for AVR® Development. It installs in /usr/local/CrossPack-AVR. Please note that the install procedure changes /etc/profile, adding a few lines to update the PATH. However, the recommended procedure is to disable the system wide PATH and to use the Eclipse AVR plug-in settings:
Eclipse menu: Preferences → AVR → Path
If, for any reasons, you need to set the PATH, you can do it via an AppleScript saved in .app format:
do shell script "export PATH=$PATH:/usr/local/CrossPack-AVR-20100115/bin;$HOME/'My Files/MacBookPro Vault/Projects/uOS/Eclipses/eclipse-3.7.2-cdt/eclipse'"
Alternately you can use a Finder .command script with the following content
#!/bin/bash
export PATH=$PATH:/usr/local/CrossPack-AVR-20100115/bin
$HOME/'My Files/MacBookPro Vault/Projects/uOS/Eclipses/eclipse-3.7.2-cdt/eclipse'
Eclipse support for GNU toolchains is provided by AVR Plugin for Eclipse, an Eclipse CDT plug-in supporting the WinAVR toolchain.
Please note that the version 2.4.0 has a problem when running on OS X, so, for OS X only, it is recommended to download the previous version, the file avreclipse-p2-repository-<IP_ADDRESS>00807PRD.zip from the SourceForge download area and install it as a local archive.
To install this plug-in on Windows, use the Eclipse standard install/update mechanism:
Eclipse menu: Help → Install New Software
Originally Atmel based its AVR32 development environment on Eclipse, and provided the AVR32 Studio as an integrated tool, based on Eclipse 3.5. It includes the GCC toolchain and all required tools for flash programming and debugging.
In 2011 Atmel abandoned the development of the Eclipse based AVR32 Studio, and implicitly of the Eclipse plug-ins.
On Windows it is recommended to install it anyway, even if you later install a later Eclipse, to have the compiler and tools properly installed.
There is no AVR32 Studio for OS X, so you can skip directly to installing Eclipse.
The latest Eclipse running the Atmel plug-in is 3.6.2; although the plug-in installs in 3.7.x, it no longer allows to create new AVR32 projects.
It is recommended to install the Eclipse 3.6.2 CDT, separately from the AVR32 folder.
For Windows and Linux, the AVR32 toolchain is provided by Atmel either as a separate package, or is integrated in AVR32 Studio.
For OS X, although currently there is no available binary package, the toolchain can be easily built from the sources, using James Snyder’s Makefile.
We recommend to manually install the Atmel plug-ins on Eclipse 3.6.2.
Eclipse menu: Help → Install New Software
In spring 2012, the µOS++ repository was moved from SVN to Git, so if you want to use the latest version, you need to access the Git repository from within Eclipse.
Starting with Eclipse 3.6.2, the Eclipse CDT package includes a Git client, so normally there is no need for any special steps.
If you are using another Eclipse package, you might need to manually install it.
Eclipse menu: Help → Install New Software
The SVN client provides Eclipse a way to use the SVN repository. For µOS++ versions later than spring 2012, SVN support is no longer mandatory, install it only if you need to acces your own repositories.
For details, see the obsoleted page How to install Eclipse SVN
None
The default Eclipse configuration is more or less Ok, but there are some details that are either annoying or even harmful, and need to be changed.
Every time you create a new workspace, you need to update the below parameters.
Eclipse menu: Window → Preferences ( Window → Preferences on OS X)
For a more convenient use, Eclipse provides a method to export the Workspace preferences to a file, so the recommend method to save (Export) your Eclipse preferences and later reuse them (Import).
To save the preferences, use the following sequence:
Eclipse menu: File → Export
To load the preferences, the sequence is:
Eclipse menu: File → Import
Unfortunately not all preferences are stored in this file, and some, like the C/C++ Indexer configuration, are important.
We recommend to double check the Eclipse preferences following the above list and update the missing entries.
Important: Please note that Eclipse provides a convenient way to change build configurations between Debug and Release, without having to edit the source code, that remains identical for all configurations. To make the difference, it is necessary to propagate some macro definitions from the Eclipse configuration to the build environment. One of them is, for example, the definition of the DEBUG macro, stored in the Debug build configuration. The Indexer is able to use the configuration definition to properly show the excluded debugging sections when selecting the Release configuration, but unfortunately the default Indexer configuration is to use a fixed configuration, and needs to be changed to follow the active configuration. Without this setting, switching from Debug to Release and back will not be reflected by showing differently the debug code.
Other annoying settings, not saved in the preference file and requiring manual tuning, are related to cleaning all projects and automatic building after clean:
Eclipse menu: Project → Clean
Please note that during the initial setup, when there are no projects, the Project menu is not available. Remember to update this setting after you download the projects.


Current scope: all classes
Overall Coverage Summary
| Package | Class, % | Method, % | Line, % |
|---|---|---|---|
| all classes | 20% (2/10) | 13.2% (7/53) | 11% (13/118) |
Coverage Breakdown
| Package | Class, % | Method, % | Line, % |
|---|---|---|---|
| com.oreilly.dao | 0% (0/1) | 0% (0/7) | 0% (0/13) |
| com.oreilly.entities | 0% (0/2) | 0% (0/16) | 0% (0/33) |
| com.oreilly.mockito | 0% (0/1) | 0% (0/3) | 0% (0/9) |
| com.oreilly | 33.3% (2/6) | 25.9% (7/27) | 20.6% (13/63) |


public abstract class Writer
extends java.lang.Object
WriterFactory.allWriters
| Modifier and Type | Field and Description |
|---|---|
protected java.util.Map<java.lang.String,InputParSpec> |
specificSettings
The specific settings of a Writer
|
protected java.lang.String |
type
The type of the writer
|
| Constructor and Description |
|---|
Writer() |
| Modifier and Type | Method and Description |
|---|---|
abstract void |
actuallyWrite(OutputConfiguration configuration,
Intern input,
java.io.PrintWriter writer)
The method that converts the data to the format of the Writer and actually puts it into the file.
|
protected abstract void |
configureSpecificSettings()
Called by the constructor of each Writer to specify which settings this Writer has and needs.
|
abstract Writer |
getNewWriter()
Calls the constructor of the specific Writer and returns the resulting object.
|
java.util.Map<java.lang.String,InputParSpec> |
getSpecificSettings()
Returns the specificSettings of the Writer.
|
abstract java.lang.String |
getSuffix()
Returns the file ending a file of the type of this Writer must have.
|
java.lang.String |
getType()
Returns the type of the Writer.
|
java.lang.String |
toString()
Returns the String representation of the Writer, which is his type.
|
boolean |
validate(OutputConfiguration configuration,
Control theControl)
This method is called by the method
OutputConfiguration.validate(proteomicsdb.org.requesttool.controller.Control) . |
void |
write(OutputConfiguration configuration,
Intern input)
This method is called by the WriterFactory to start the writing.
|
protected java.lang.String type
protected java.util.Map<java.lang.String,InputParSpec> specificSettings
public abstract void actuallyWrite(OutputConfiguration configuration, Intern input, java.io.PrintWriter writer)
configuration
- The OutputConfiguration
specifying how the data shall be writteninput
- The data to be writtenwriter
- A PrintWriter
to the already opened filepublic abstract Writer getNewWriter()
public abstract java.lang.String getSuffix()
protected abstract void configureSpecificSettings()
public java.lang.String getType()
public java.util.Map<java.lang.String,InputParSpec> getSpecificSettings()
public boolean validate(OutputConfiguration configuration, Control theControl) throws InvalidInputException, CollectedException
OutputConfiguration.validate(proteomicsdb.org.requesttool.controller.Control)
. It tests, whether the specificSettings given in the OutputConfiguration
are valid for this writer.
Also checks whether the destination file already exists and uses Control.notifyUser(java.lang.String, java.lang.String)
to ask, if the file can be overwritten.configuration
- The OutputConfiguration
whose settings shall be validatedtheControl
- The Control
, that is used to ask the user if he wants to overwrite.OutputConfiguration
are valid; otherwise an Exception is thrownInvalidInputException
- to indicate, which input parameter was invalidCollectedException
- to indicate all of the specificSettings that were invalidpublic void write(OutputConfiguration configuration, Intern input) throws InvalidInputException
PrintWriter
to the file specified in the configuration, and then calls the specific actuallyWrite(proteomicsdb.org.requesttool.model.description.OutputConfiguration, proteomicsdb.org.requesttool.model.description.Intern, java.io.PrintWriter)
method
After that it closes the PrintWriter
again.
It also sets the doAppend-flag of the OutputConfiguration to false, if appending is enabled, but the file is empty;
this is needed because a Writer might have different behaviour if it appends then if it writes a new file; but in an empty file, this different behavior does not make sense.configuration
- The OutputConfiguration
that specifies, how the data shall be writteninput
- The data to be writtenInvalidInputException
- If there occurs a problem with the destination filepublic java.lang.String toString()
toString
in class java.lang.Object


Quality coded, beautifully designed themes.
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1. Design tested for great conversions.
2. Modern, fresh and beautiful design for you.
3. Code is done in high quality.
4. Mobile first, responsive code.
5. Every theme looks as good as it can get on mobile and web.
6. Easily customizable.
7. Very efficient websites.
8. Loading new pages, will not refresh the tab.
9. Customers won't ever leave the landing page.
10. When you do enter other pages, you can re-enter them offline, after that.
11. You get all of that + support (for most themes), for just 13$!
Start your own website on lazareric.com, or if you need a consultation,
let me know on lazar(at)lazareric.com.
Have an amazing day!


{% extends "base.html" %} {% block header %}
Ever found yourself in a situation when you need to compliment someone and you couldn't find anything clever to say?
Now it's simple:


| jobRunScript {rstudioapi} | R Documentation |
Starts an R script as a background job.
jobRunScript( path, name = NULL, encoding = "unknown", workingDir = NULL, importEnv = FALSE, exportEnv = "" )
path |
The path to the R script to be run. |
name |
A name for the background job. When |
encoding |
The text encoding of the script, if known. |
workingDir |
The working directory in which to run the job. When
|
importEnv |
Whether to import the global environment into the job. |
exportEnv |
The name of the environment in which to export the R
objects created by the job. Use |
Other jobs: jobAddOutput()
,
jobAddProgress()
, jobAdd()
,
jobRemove()
, jobSetProgress()
,
jobSetState()
, jobSetStatus()


{% extends "base.html" %} {% block content %} {% load static %}
Thank you for your participation, the submission has been closed.
You are


Since I was young I had ever been the most popular guy in the class neither the smartest or the fittest. Indeed, during my school I suffered from bullying as I was a fat guy with classes who was studying all day. Or that is what they thing. I was not just a hard-working guy, I was also getting enough information in order to transform the world.
All my childhood has been influenced by my aunt. She had suffered twice from breast cancer, once from tyroid cancer and right now, in 2020, she is undergoing stage IV metastatic lung cancer.  She is my superhero is only one of the more than 8 million superheroes that struggle against cancer every year. I was more focused on what I could do to save her rather than taking care of myself.
For that reason, when I was 15 I started my first project at the same time I got tired of my 9-2 school journey without having a real impact on her life and the life of others. At that same time Google released Tensorflow libraries and I decided to make use of my gained expertised in cancer and my understanding on programming in order to make something big. This initial project lately became Biop AI after 3 years. Biop AI is a UK-based company which makes usage of artificial intelligence for the early-stage cancer diagnosis. Our first product focuses on suspicious bad-moles diagnosis versus the healthy ones and is currently under clinical trials.
Furthermore, I also co-founded another company in Spain called Nutrilieve for developing personalized diets to oncologic patients undergoing chemotherapy and radiotherapy. The idea with it is to palliate side-effects through the diet.
Looks cool right? Definitely. It is not cool just because I am fulfilling an inner passion but because it allows me to be HAPPY. Exactly, how many millions do you want in your bank account if you are not happy? Trading? Dropshipping?
What if I told you that you will be rich if you pursue your dreams instead of pursuing society dreams?
I have been in Sherm El-Sheik (Africa), Silicon Valley (US), Shenzhen (China), Shangzhuo (China), London (EU), Amsterdam (EU), and many other places without spending a single penny. Guess what? Your knowledge and what you DO is more important than anything else and that is what corporations and associations value on you. Here you have some pictures 😊
Me at Shenzhen for the
International AI and Medicine Conference
Me at Silicon Valley
Pitching at SharkTank Event
Me at Sherm El-Sheik
for the World Youth Forum
Me awarded by
Mr. Abdel Fattah El-Sis


sonar-scanner
SonarScanner is a generic scanner for SonarQube projects that do not use build tools such as Maven, Gradle, or Ant.
More information: home page
- Scan a project with configuration file in your project's root directory named `sonar-project.properties`:
sonar-scanner
- Scan a project using configuration file other than `sonar-project.properties`:
sonar-scanner -Dproject.settings=myproject.properties
- Print help information:
sonar-scanner -h
- Print debugging information:
sonar-scanner -X


Manta-sizing in Marovo Lagoon, Solomon Islands.
An early morning boat from Uepi takes you into Marovo Lagoon where Manta Rays, true gentle giants, feed and frollick in the mornings.
On snorkel, you quietly enter the water when the boat driver advises and wait patiently for the mantas. To get photos like this, you need to free dive down 5-6m and let the mantas come to you.
These magnificent creatures are huge - the wingspan of the one in the foreground was probably about 3m (10ft) from tip to tip.
Its ocean encounters like these that make diving (scuba, free or snorkelling) an amazing experience.
Photographically it was a little challenging. Being a shallow location in the lagoon, the water was green-ish. With the sun low on the horizon, ambient light was minimal. Snorkelling around the lagoon to follow them, we probably moved several hundred metres over the space of an hour or so.
Its an amazing way to start a day.


Mobile view is not supported by your browser.
Contact technical support for details at
<EMAIL_ADDRESS>.
Full version of the website.


SPE_Tokenizer
(codes
, merges
=-1
, glossaries
=None
, exclusive_tokens
=None
)
Tokenize SMILES based on the learned SPE tokens.
codes: output file of learn_SPE()
merges: number of learned SPE tokens you want to use. -1
means using all of them. 1000
means use the most frequent 1000.
exclusive_tokens: argument that passes to atomwise_tokenizer()
glossaries: argument that passes to isolate_glossary()
dropout: See BPE-Dropout: Simple and Effective Subword Regularization.
If dropout
is set to 0, the segmentation is equivalent to the standard BPE; if dropout
is set to 1, the segmentation splits words into distinct characters.


- Dashboard
-
Transfer
-
Recharge
- Bills
- Transactions
Transactions
| Date |
Details |
Amount |
Type |
| 12-08-2021
| Electricity bill |
N 4000.00 |
Debit |
| 06-07-2021
| Airtime recharge |
N 500.00 |
Debit |
| 11-07-2021
| Transfer |
N 10,000.00 |
Credit |
| 09-06-2021
| DSTV |
N 3000.00 |
Debit |
| 12-08-2021
| Electricity bill |
N 4000.00 |
Debit |
| 06-07-2021
| Airtime recharge |
N 500.00 |
Debit |
| 11-07-2021
| Transfer |
N 10,000.00 |
Credit |
| 09-06-2021
| DSTV |
N 3000.00 |
Debit |
| 12-08-2021
| Electricity bill |
N 4000.00 |
Debit |
| 06-07-2021
| Airtime recharge |
N 500.00 |
Debit |
| 11-07-2021
| Transfer |
N 10,000.00 |
Credit |
| 09-06-2021
| DSTV |
N 3000.00 |
Debit |