In this assignment, you’ll create and export a function that parses a User Datagram Protocol (UDP) packet.
| Assigned | Thu, Oct 15, 2020 |
| Office hours | By appointment |
| Discussion/Lab | Tue, Oct 20, 2020 |
| Assignment Due | Thu, Oct 22, 2020 |
UDP is a Transport layer protocol, operating on layer 4 of the layered network model, and is often found encapsulated as the payload of Internet Protocol version 4 (IPv4) or Internet Protocol version 6 (IPv6) packets.
UDP is a simpler protocol than its sibling protocol TCP, which we will cover later in the course, as it provides no guarantees that a packet reaches its destination. It is often used for data that is real-time, or that loses value if it arrives later than intended.
In addition to its current uses, it is used as the basis for a new proposed Transport layer protocol QUIC (whose packets are encapsulated within UDP datagrams). QUIC is in turn proposed as the basis for the new version of the HyperText Transfer Protocol, HTTP/3.
NOTE: This is an example of the Internet standards process in action, as these standards, currently having Internet Draft status, are currently being vetted and implemented. You can find various documents and email archives regarding the decisions being made on these standards at the QUIC working group home on IETF.org.
Addresses on the Transport layer are called ports. Ports are 16-bit (2-byte) unsigned integer values (between 0 and 65535), and address processes on a host. (Recall that host-level addressing is handled at the Network layer using the Internet Protocol’s addressing schemes – versions 4 and 6.)
Although ports are represented as simple unsigned integer values, all ports are not the same. Port numbers are managed by the Internet Assigned Numbers Authority (IANA) in the Service Name and Transport Protocol Port Numbers Registry. There are three classes of ports:
You will often make use of several of the well-known ports:
In addition, if you use a database, you may also run into vendor registered ports, for example:
When combined with an IP address to address a specific process on a specific host, the combination of port and IP address is called a socket. A socket is an abstract concept representing the address of a process on a host, and many programming language standard libraries have socket abstractions that you can use when building software.
The packet structure of a UDP packet involves a fixed-length 8-byte header containing four 2-byte fields:
The payload, called the Datagram Data, if included, can be up to 65353 bytes. However, practically, the maximum achievable packet length is much smaller and is determined by the send and receive buffer capacity of the end systems, which are often set to around 8000 bytes.
UDP Packet Structure
|----header-----|---payload-. . .-----------|
0 4 8
----------------------------. . .------------
| ' ' ' | ' ' ' | ' ' ' ' ' . . . ' ' ' ' ' |
| 2B| 2B| 2B| 2B| 0 to 65345 bytes |
|Src|Dst|Len|Chk| Datagram Data |
|Prt|Prt| |sum| (in practice, max ~8000B) |
----------------------------. . .------------
The checksum field is a special case in UDP. A product of the long period during development of the internet when the Network and Transport layer protocols were not distinct, the checksum of a UDP packet is calculated on an augmented version of the packet that includes a pseudo-header of data from the encapsulating IP packet. Because the fields in the IPv4 and IPv6 packet headers differ significantly, so also does the UDP IPv4 pseudo-header from the UDP IPv6 pseudo-header. Both pseudo-headers include the host addresses for source and destination, as well as the protocol ID for the encapsulated packet (UDP for IPv4, but could be different for IPv6), and the UDP length value from the IP packet header. Both pseudo-headers also employ a filler of all zeros to align data to 4-byte boundaries.
The UDP IPv4 and UDP IPv6 pseudo-header structures are included below.
Byte 9 in the IPv4 pseudo-header, labeled Pr
is the Protocol field
of the IPv4 header. Similarly, byte 39 of the IPv6 pseudo-header,
labeled N H
is the Next Header field of the IPv6 packet header.
These fields are 1 byte each, and take unsigned 8-bit integer values
identifying the protocol of the encapsulated packet. Those protocol
numbers
are also managed by IANA. The protocol number for UDP is 17.
UDP IPv4 Pseudo-header Structure
0 4 8 12
-------------------------------------
| ' ' ' | ' ' ' | ' ' ' |
| 4 bytes | 4 bytes |1B|1B| 2B |
| Source | Dest | |Pr| UDP |
| IPv4 | IPv4 |0s| | Len |
-------------------------------------
UDP IPv6 Pseudo-header Structure
0 4 8 12 16 20 24 28 32 36 40
---------------------------------------------------------------------------------
| ' ' ' | ' ' ' | ' ' ' | ' ' ' | ' ' ' | ' ' ' | ' ' ' | ' ' ' | ' ' ' | ' ' ' |
| 16 bytes | 16 bytes | UDP | | |
| Source IPv6 Address | Destination IPv6 Address | ULP | |N|
| | | Len | 0s |H|
---------------------------------------------------------------------------------
The relevant pseudo-header is attached at the beginning of the packet, before the UDP header, and the checksum field of the UDP header is zero-filled. Using that data, the checksum is then calculated as the 16-bit one’s compliment of the one’s compliment sum of the combined data.
You can use the createChecksum
function of the raw_sockets
Node.js
package
to compute the proper checksum for the data.
To complete this assignment, you need to write the body of the parse
function defined and exported from index.js
. You do not need to worry
about asynchronous operations for this – just be able to parse the
incoming byte Buffer
(s) using the UDP protocol.
Your function should return a JavaScript object with the fields and structure specified below. Expected data types and descriptions are included in parentheses.
{
protocol: "UDP",
header: {
destination_port: (16-bit Unsigned integer value),
source_port: (16-bit Unsigned integer value),
length: (16-bit Unsigned integer value, number of total packet bytes),
checksum: (16-bit 1's compliment checksum including IP pseudo-header)
},
pseudo_header: {
pseudo_header_protocol: ("IPv4" or "IPv6"),
source_ip: (IPv4 or IPv6 address),
destination_ip: (IPv4 or IPv6 address),
protocol: (Unsigned integer value protocol identifier),
length: (UDP length)
},
payload: (payload data in binary format as an Buffer with appropriate length),
checksum_valid: (boolean, true if checksum is valid for data in packet)
}
Once this is complete and passing tests, copy this project into a new folder lib/udp
in
your Assignment A2 project (similar to what you did with the Assignment A1 code in the
lib/ethernet
folder). Then, use this to parse the payload from UDP packets found by your
Assignment A2 async parser, and replace the payload
key’s current Buffer
value with the
object structure above instead.
Note that you’ll need to construct a couple dummy Ethernet frames that contain UDP data. The simplest way to do this is just to capture a few packets on your computer. If that’s too difficult, you can just generate it by following the frame and packet formats.
While you must make your implementation pass automated tests that
will only use the exported parse
function, you will likely want
to create several additional functions to help with parsing the data.
Each of these functions should be well-tested (repeatably via automation),
so that you can be confident of the accuracy and error-free quality of
your parsing code. Each of these functions should also include relevant
documentation in JSdoc format about why they exist,
including expected inputs and outputs with data types.
In this repo, you will find a lib
folder which contains several things
that should be helpful:
udp.js
file - this is where you should put the protocol-specific
parsing code you writechecksum.js
file - this file exports a function createChecksum
that will compute the UDP checksum on an appropriately structured
Buffer
(one having the correct pseudo-header prefixed to it, and
having the checksum field zeroed out)In this assignment (as in prior assignments in this course), you’ll be
working with binary data in JavaScript. The interface for this work
will almost always be the Buffer
class and its subclasses. Get to know
the Buffer
class as soon as possible.
In particular, you’ll need to be very familiar with the methods to read
various length unsigned integers, including the little endian (LE) and
big endian (BE) variants and how to choose which variant you need, and the
subarray
method, as well as the typed subclasses of Buffer
.
As with Assignment A1, in order to get started with the assignment, you’ll want to do the following things:
raw_socket
library’s createChecksum functionindex.js
and lib/EthernetSocketProcessor.js
lib/ethernet
folder in this repo. (You may want to exclude the .git
, .vscode
,
and .github
folders from that copy, as it may confuse Visual Studio Code to have those folders at
multiple levels of the repo.)Run the following at the command line from within the project directory (use cd <path>
, replacing
<path>
with the folder path to your project directory, to get there):
nvm install 12.19
nvm use 12.19
npm install
npm test
During development, you may wish to run the tests in watch mode, so that each time you save a file, the tests that file affects will run. To do this, you can use:
npm test -- --watch
This assignment will also automatically check your code style for readability. To run those tests at your own command line, you can use:
npm run lint
You must submit your changes as commits to the main
branch on the repository.
Github Classroom will create a pull request on the repository for you, titled
Feedback. As you push your commits on the main branch up to Github, they
will be added to the activity on this pull request.
In addition to the synchronous mechanism of requesting help via office hours appointments, this pull request will be your mechanism for asking questions and requesting help asynchronously during the course of this assignment. I will also use this pull request to provide feedback on your work. I will provide feedback on the completed assignment within a week of the due date of the assignment. If you push your code earlier than the due date, I will try to provide feedback as needed earlier.
I suggest that you push your work to Github as you make commits, and that you make
commits frequently as you work on the assignment. This way, if you have questions,
I will be able to review your work-in-progress and give more relevant answers and
feedback. If you have a question specific to a particular area of the code, note that
you can add comments inline on the pull request by clicking on the Files changed tab
of the pull request, then clicking the little blue +
icon that appears when you hover
over a specific line of code.
I will do my best to respond to questions posed during the course of the assignment with
in a day of the ask. If you want to ask a question or request early feedback, please tag
me in a comment on the pull request: @nihonjinrxs
.
Good luck, and I look forward to seeing what you create!


This example uses the HTML DOM to assign an "onmousedown" and "onmouseup" event to a p element.
Click me.


Oh My Girl's Binnie to star in upcoming horror-comedy web drama 'I Live With Ghosts'
by danisurstOh My Girl's Binnie has been cast in a web drama!
The idol will be appearing in 'I Live With Ghosts' (lit. trans.), which is scheduled to begin airing in January.
The drama is of the horror-comedy genre, and follows the story of cafe owner Goo Yeo Eun and the hilarious situations that occur when a ghost family decides to moves in and make it their home.
Prior to her activities with Oh My Girl, Binnie was a child actress who appeared in dramas such as 'Bread, Love, and Dreams' and 'Sungkyunkwan Scandal.'
Meanwhile, 'I Live With Ghosts' will begin filming this month.


Spurs appeal Son red card for tackle on Everton’s Gomes
LONDON, Nov 5 — Tottenham Hotspur have appealed the red card shown to striker Son Heung-min for the tackle that led to Everton midfielder Andre Gomes suffering a horrific ankle injury in their Premier League match on Sunday, British media have reported.
Gomes suffered a fracture dislocation to his right ankle in the second half of the 1-1 draw at Goodison Park after landing off balance at speed after the tackle from Son and then colliding with Spurs full-back Serge Aurier.
Portugal international Gomes had surgery yesterday and Everton said afterwards he was expected to make a full recovery.
Referee Martin Atkinson showed Son a red card for his tackle on Gomes and the Premier League said after the match that he had been dismissed for “endangering the safety of a player”.
Both the BBC and the Guardian reported that Spurs had appealed to the Football Association asking for the red card to be rescinded.
South Korea international Son, who was in tears in the dressing room after the match, will be banned for Tottenham’s next three Premier League matches against Sheffield United, West Ham and Bournemouth if the appeal is unsuccessful. — Reuters


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Welcome Stakeholders! The future of transport is in your hands
ONETT converter from GTFS to TRANSMODEL is a super-power with which you can
convert all your old GTFS files into TRANSMODEL, created specifically to save time to stakeholders and help Europe to make the transition into this standard.


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Career & Education
Samsung Electonics Co,. Ltd.
2019 –
AR Avatar, AR platform lab., Mobile Division
Software Engineer, 2020.04 –
Algorithm Train T/F, Samsung Advanced Technology Training Institute
Competitive Programmer, 2019.07 – 2020.03
Chonbuk National University
2012 – 2019
Bachelor's degree, Computer Science in Engineering
Awards & Honors
2nd Prize, NAVER A.I. Hackathon
NAVER Corp.
2018.04.27.
QA system using NSML with Dataset from NAVER
지식인 유사도 부문 (error 모르게따 팀)
ACM-ICPC Asia Regional
68th Place(H/M), Daejeon Regional
2017.11.11.
36th Place, Daejeon Regional
2013.11.02.
Chonbuk National University
Programming Contest
1st Prize, 2017.10.18.
1st Prize, 2013.10.14.
Idea Hackathon
3rd Prize, 2017.05.14.
and 5 more …
Skills
HTML5
CSS3
JavaScript
ECMAScript 6
Bootstrap5
Babel
chrome
extension
Docker
Node.js
express.js
python
django
Java
git


Why cope with a new syntax, when there is a perfectly good family of syntaxes that will work perfectly well? C's syntax, although slightly verbose at times, has survived the test of time, and it works well, with only a few semantic changes for functional programming.
We've all heard this before: Oh, we have a great blend of OOP and FP in our language! But then, when we try it out, it's a spaghettified mess and a total disapointment, or a OOP language that has a map and a filter and practically nothing else. Other times, it doesn't even support any form of FP, but instead Generics programming of procedural programming. Not so in Bike. In Bike, we have taken special precaustions to preserve a clear functional heritige, while adding a clearly defined and separated OOP layer that integrates well with it's functional side.
Statically typed languages are far too strict for most scripting and applications, while dynamically typed languages can have lots of bugs, and you may not feel safe without static types. Why not go for a happy medium? Optional types give you a distinct edge in this respect!
Like ruby and haskell, bike has librarys that will make programming simple! With every list operation from Haskell and every string operation from Ruby, you'll rarly have to write your own utility functions
A low-detail, 2000m overview of the language's syntax. Just enough to get you started and used to Bike's syntax & semantics.
Read NowEssentail for any serous Bike programmer. This manual will detail all the minute details and quirks of Bike's syntax, as well as fully cover the standard library and the more complex OOP concepts, as well as things like function currying, partial application, and optional typing in more detail. This guide will also give you a peek as to how Bike is implemented.
Read Now


#include <pas-co2-pal-i2c-ino.hpp>
◆ I2CPALIno()
| I2CPALIno::I2CPALIno |
( |
TwoWire * |
wire = &Wire | ) |
|
I2C PAL Ino constructor.
- Parameters
-
| [in] | wire | Arduino Wire instance |
◆ ~I2CPALIno()
| I2CPALIno::~I2CPALIno |
( |
| ) |
|
◆ init()
Initializes the I2C Arduino PAL.
- Returns
- PAS CO2 error code
- Return values
-
| OK | if success |
| INTF_ERROR | if error |
Implements pasco2::I2CPAL.
◆ deinit()
Deinitializes the I2C Arduino PAL.
- Warning
- end() call not implemented depending on core Arduino toolchain flags are not here declared.
- Returns
- PAS CO2 error code
- Return values
-
Implements pasco2::I2CPAL.
◆ setClockFreq()
| Error_t I2CPALIno::setClockFreq |
( |
const uint32_t |
clockHz | ) |
|
|
virtual |
Sets the I2C Arduino PAL frequency.
- Parameters
-
| [in] | clockHz | Clock frequency in Hertzs |
- Returns
- PAS CO2 error code
- Return values
-
Implements pasco2::I2CPAL.
◆ read()
| Error_t I2CPALIno::read |
( |
const uint8_t |
slave7BAddr, |
|
|
const uint8_t |
memAddr, |
|
|
uint8_t * |
data, |
|
|
uint16_t & |
length |
|
) |
| |
|
virtual |
Reads from the I2C Arduino PAL the device memory registers.
The memory addresses length is 8 bits, which point to 8 bits word memory registers. In bulk read mode (length > 1 byte), the register address passed by argument will be the start read address, and the subsequent registers will be read up until the requested length is satisfied.
- Parameters
-
| [in] | slave7BAddr | Slave address 7 bits format. Without write/read bit (8 bit address right shifted 1 bit) |
| [in] | memAddress | Device memory register start read address |
| [out] | *data | Pointer to the array that will store the read data |
| [in,out] | length | Number of bytes to be read from the bus. Outputs the actual number of bytes read. |
- Returns
- PAS CO2 error code
- Return values
-
| OK | if success |
| INTF_ERROR | if error |
Implements pasco2::I2CPAL.
◆ write()
| Error_t I2CPALIno::write |
( |
const uint8_t |
slave7BAddr, |
|
|
const uint8_t |
memAddr, |
|
|
const uint8_t * |
data, |
|
|
uint16_t & |
length |
|
) |
| |
|
virtual |
Writes in the I2C Arduino PAL the device memory registers.
The memory addresses length is 8 bits, which point to 8 bits word memory registers. In bulk write mode (length > 1 byte), the register address passed by argument will be the start write address, and the subsequent registers will be written up until the requested length is satisfied.
- Parameters
-
| [in] | slave7BAddr | Slave address 7 bits format. Without write/read bit (8 bit address right shifted 1 bit) |
| [in] | memAddress | Device memory register start write address |
| [in] | *data | Pointer to the data array to be written |
| [in,out] | length | Number of bytes to be written in the bus. Outputs the actual number of bytes written. |
- Returns
- PAS CO2 error code
- Return values
-
| OK | if success |
| INTF_ERROR | if error |
Implements pasco2::I2CPAL.
The documentation for this class was generated from the following files:


By
Han Jianglei (G1403219J)
&
Siddharth Chandrakant (G1400814E)
Stay tuned for the live demo.
Watch & be amazed :)
Thank you.


A responsive site is website designed to adapt to fit the specific screen capabilities it is drawn up on. For instance, the same site -- if responsive -- can have altered designs for desktops and smart phones, while based off the same code instructions.
Mobile-first design is an instruction and industry standard for designing responsive sites. By starting with the smallest screen, like the ones on mobile smart phones, the progression to fill larger pages like tablets, netbooks, and desk tops can progress more smoothly and beautifully.
Frameworks are tools that offer a developer a template to work off of. These typically include code for responsiveness and a few other key features, including grid structure, typography, buttons, and more.
A wireframe is the first "mock up" that a developer/designer team does to sketch out their basic plan for the website. Wireframes are a crucial first step in getting designer, developer, and client on the same page as the project is approached.
What I found most difficult about the wireframing process is both getting used to designing in the 12x12 nature, as well as the slow and steady necessity of implimenting each component. There are times this sprint where I've felt overwhelmed, but the more literacy I build with HTML the more I feel like taking it in chunks becomes more managable.


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|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/models/marketmodels/products/multistep/multisteppathwisewrapper.hpp>
Public Member Functions | |
| MultiProductPathwiseWrapper (const MarketModelPathwiseMultiProduct &innerProduct_) | |
| std::vector< Time > | possibleCashFlowTimes () const override |
| Size | numberOfProducts () const override |
| Size | maxNumberOfCashFlowsPerProductPerStep () const override |
| void | reset () override |
| during simulation put product at start of path More... | |
| bool | nextTimeStep (const CurveState ¤tState, std::vector< Size > &numberCashFlowsThisStep, std::vector< std::vector< CashFlow > > &cashFlowsGenerated) override |
| return value indicates whether path is finished, TRUE means done More... | |
| std::unique_ptr< MarketModelMultiProduct > | clone () const override |
| returns a newly-allocated copy of itself More... | |
| std::vector< Size > | suggestedNumeraires () const override |
| const EvolutionDescription & | evolution () const override |
| Public Member Functions inherited from MarketModelMultiProduct | |
| virtual | ~MarketModelMultiProduct ()=default |
| virtual std::vector< Size > | suggestedNumeraires () const =0 |
| virtual const EvolutionDescription & | evolution () const =0 |
| virtual std::vector< Time > | possibleCashFlowTimes () const =0 |
| virtual Size | numberOfProducts () const =0 |
| virtual Size | maxNumberOfCashFlowsPerProductPerStep () const =0 |
| virtual void | reset ()=0 |
| during simulation put product at start of path More... | |
| virtual bool | nextTimeStep (const CurveState ¤tState, std::vector< Size > &numberCashFlowsThisStep, std::vector< std::vector< CashFlow > > &cashFlowsGenerated)=0 |
| return value indicates whether path is finished, TRUE means done More... | |
| virtual std::unique_ptr< MarketModelMultiProduct > | clone () const =0 |
| returns a newly-allocated copy of itself More... | |
Private Attributes | |
| Clone< MarketModelPathwiseMultiProduct > | innerProduct_ |
| std::vector< std::vector< MarketModelPathwiseMultiProduct::CashFlow > > | cashFlowsGenerated_ |
| Size | numberOfProducts_ |
MultiStepPathwiseWrapper Pathwise products do everything that ordinary products do and more. This lets you treat a pathwise product as an ordinary product. So you only have to write the product once.
Tested in MarketModels::testInverseFloater()
Definition at line 39 of file multisteppathwisewrapper.hpp.
| MultiProductPathwiseWrapper | ( | const MarketModelPathwiseMultiProduct & | innerProduct_ | ) |
Definition at line 27 of file multisteppathwisewrapper.cpp.
|
overridevirtual |
Implements MarketModelMultiProduct.
Definition at line 37 of file multisteppathwisewrapper.cpp.
|
overridevirtual |
Implements MarketModelMultiProduct.
Definition at line 42 of file multisteppathwisewrapper.cpp.
|
overridevirtual |
Implements MarketModelMultiProduct.
Definition at line 47 of file multisteppathwisewrapper.cpp.
|
overridevirtual |
during simulation put product at start of path
Implements MarketModelMultiProduct.
Definition at line 52 of file multisteppathwisewrapper.cpp.
|
overridevirtual |
return value indicates whether path is finished, TRUE means done
Implements MarketModelMultiProduct.
Definition at line 57 of file multisteppathwisewrapper.cpp.
|
overridevirtual |
returns a newly-allocated copy of itself
Implements MarketModelMultiProduct.
Definition at line 87 of file multisteppathwisewrapper.cpp.
|
overridevirtual |
Implements MarketModelMultiProduct.
Definition at line 76 of file multisteppathwisewrapper.cpp.
|
overridevirtual |
Implements MarketModelMultiProduct.
Definition at line 81 of file multisteppathwisewrapper.cpp.
|
private |
Definition at line 55 of file multisteppathwisewrapper.hpp.
|
private |
Definition at line 56 of file multisteppathwisewrapper.hpp.
|
private |
Definition at line 57 of file multisteppathwisewrapper.hpp.


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CPPNs for Procedural Landscape Generation!
So I’ve been obsessed with CPPN’s ever since I saw this series of blogposts by Hardmaru:
- Neural Network Generative Art in Javascript
- Generating Abstract Patterns with TensorFlow
- Generating Large Images from Latent Vectors
- Generating Large Images from Latent Vectors - Part Two
- The Frog of CIFAR 10
One of the main reasons I loved this idea so much is that almost all machine learning that you see concerns itself with fixed output dimensions; at least for images. The cool thing about the CPPN is that it maps pixel coordinates, along with some configurably latent-vector z⃗, to rgb values:
cppn(x,y,z⃗) = (r,g,b)
This is cool because, there is a value defined for every point! So you can use these things to create arbitrarily-large pictures! Furthermore, for a given z⃗ we can make higher-resolution images by evaluating the network over different widths.
At Silverpond we’ve put this idea to good use in our upcoming event at Melbourne Knowledge Week.
In any case, here I’d like to document my playing-around with the idea of using CPPNs to generate 3d landscapes.
I’ve put together some pieces of code here: cppn-3d. Thanks to the amazing MyBinder you can even run the notebook online, right now, and start generating your own cool images!
To use the Python code, say, take a look at the notebook and you’ll see something like this (after imports):
latent_dim = 9
TAXICAB = ft.partial(np.linalg.norm, axis=0, ord=1)
EUCLIDEAN = ft.partial(np.linalg.norm, axis=0, ord=2)
INF = ft.partial(np.linalg.norm, axis=0, ord=np.inf)
norms = []
c = Config( net_size = 20
, num_dense = 5
, latent_dim = latent_dim
, colours = 3
, input_size = 1 + 1 + len(norms) + latent_dim
, norms = norms
, activation_function = tf.nn.tanh
)
size = 512
width = size
height = size
m = build_model(c)
z = np.random.normal(0, 1, size=c.latent_dim)
sess.run(tf.global_variables_initializer())
yss = forward(sess, c, m, z, width, height)
ys = stitch_together(yss)
The magic here is that we can get quite different pictures by mucking around
with the params: net_size
, num_dense
, norms
, activation_function
and
basically just about anything!
The very simplistic idea I had was that we can generate images with nice smooth colours, then just map those colours to heights, and that’s the end of it! I did this in three.js and TensorFlow.js at first, with some terrible code:
It worked! You can also play with this live if you wish; it does a kind of cool animation, albeit kinda slowly.
Of course, what I really wanted was to get a feel for how “walkable” or “playable” the resulting map would be. So I found my way to Unity3D, and half-wrote half-googled a tiny script to load in the image as a height map:
using System.IO;
using UnityEngine;
public class TerrainHeight : MonoBehaviour {
public int height = 400;
public int width = 400;
public int depth = 200;
public string cppnImage = "/home/noon/dev/cppn-3d/python/multi-2.png";
void Start () {
= GetComponent<Terrain>();
Terrain terrain .terrainData = GenerateTerrain(terrain.terrainData);
terrain}
GenerateTerrain (TerrainData data) {
TerrainData .size = new Vector3(width, depth, height);
data.SetHeights(0, 0, GenerateHeights());
datareturn data;
}
public static Texture2D LoadPng (string filePath) {
byte[] data = File.ReadAllBytes(filePath);
= new Texture2D(2, 2);
Texture2D texture .LoadImage(data);
texturereturn texture;
}
float[,] GenerateHeights () {
float[,] heights = new float[width, height];
= LoadPng(cppnImage);
Texture2D image for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
= image.GetPixel(x, y);
Color colour
float height = colour.r
+ colour.g
+ colour.b;
[x, y] = height / 3;
heights}
}
return heights;
}
}
In Unity3D, you attach this script to a terrain, then when you run it, it will set that piece of terrain to have the given heights you want!
Looks alright! Obviously my general Unity skills need work, but at least it looks something like a landscape! Here’s a few more of the top view generate by a bunch of similarly produced images:
The images that generated these (not in order) are in the maps folder:
Anyway, I hope someone finds this useful! I hope I can play with this idea a bit more! I think there’s a lot of juice to squeeze here, in terms of using CPPNs to generate different levels of detail; to add much more detail to the Unity terrain by making decisions based on height (such as where water goes, where snow starts, etc). Furthermore, it would also be neat to auto-generate town locations, and just about everything! Then of course there’s all the details of the CPPN itself to play with; the layer structure, adding more variables, using different norms to highlight different regions of the resulting image; the mind boggles at the options!
I hope this demonstrates how fun CPPNs can be!
Aside
As an aside, early in the day I was experimenting with producing large tiled images.
The basic idea is conveyed here:
On the left I have a particular image that I’ve generated. I want to continue this image downwards by one tile. On the right is the same image with the next tile.
This idea was due to Gala (who works for Neighbourlytics): basically, given that we have the optimisation machinery at hand, why not just attempt to find a new image, from the network, whose border matches at the point we’re interested in.
Initially, my idea was that I could do this by optimising over the z vector z⃗ only; i.e. leave all the other parameters of the network alone. This turned out not to work at all. I’m actually not quite sure why, because my experience with CPPNs is that if z⃗ is large, then you can get a whole bunch of variation by modifying it. In any case, I tried it, and while it did manage to make some progress, it was never really particularly good.
When that approach didn’t work, I used the one that generated the tile connections from above: I just optimised with respect to the entire CPPN network.
There were a few problems with this approach, unfortunately:
The tiles it generated were less “interesting”: In the image above, the one of the left is made of 3 tiles. The top one is the starting one; note it’s complexity. The following two tiles are very low in interesting-ness, but the final one is actually not bad. This perhaps makes sense, as when the optimiser only has to match one colour, it can allow itself some richness in the other region.
It didn’t work when I tried to match up two boundaries:
In all these pictures, the bottom-right tile is very out of sync with it’s two neighbours. This could definitely be fixed “in post”, by simplying blending it, but it’s still slightly unsatisfying that I couldn’t solve this within the CPPN framework. One original idea I had was to solve it by using (something-like) the interpolation process you see in the live JS example. Namely, we can pick two vectors $\vec{z_1}$ and $\vec{z_2}$ and move smoothly between them. When you watch this animate, you can feel like there should be some smoothing operation that would let us draw out a long line in this fashion. I think the approach would be to take, slice-by-slice, new images from vectors $\vec{z_{n+1}}$, and use the slices from them to produce a landscape. This feels slightly odd to me, but perhaps would be nice.
In the end, my realisation was that I can produce very large maps simply by increasing the richness in the CPPN: increasing the numbers of dense layers, and “net size” (units in the dense layers), and then just simply making a high-resolution version of the resulting image:
In many ways I think I’m still a bit unsatisfied by this approach. I think ultimately it would be nice to have a grid-layout map:
Where each block is controlled by some vector $\vec{z_i}$, and those can be modified at will. This would definately be possible just by blending in some standard way between the particular $\vec{z_i}$-values, but I do still think there should be a CPPN-based solution. One idea Lyndon had was by directly constructing the image from the grid, and then encoding that back into the CPPN, then decoding it, to get the “closest match” that is still smooth between the borders. I think this might work, but here we don’t have an encoding network.
If you have any ideas along these lines, or find any of this useful, then I’d love to hear from you!
Bonus Content (17-Apr-2018)
I found a cool plugin in Unity — The Terrain Toolkit — that lets me easily add textures, and I worked out how to add a water plane (you just find it in the standard assets, and drag on the “Prefab”, and resize it), so we can give the maps a more earthly look and feel:
So cool! (I also updated the code so you can more easily express richer layers in the CPPN, check out the Jupyter Notebook Generate Maps for more deets.)


Last Name
First Name
Address
City
State
Zip/Postal Code
Country
Bulgaria
Germany
Japan
USA
Phone(contry code,
area code, number)
(+
)
E-mail
Birth date
Gender
Male
Female
Starting date
Spring 2015
Summer 2015
Comments/Questions


ECPrivateKey
public class ECPrivateKey
Represents an elliptic curve private key.
Supported curves are:
- prime256v1
- secp384r1
- NID_secp521r1
You can generate an elliptic curve Key using OpenSSL:
https://wiki.openssl.org/index.php/Command_Line_Elliptic_Curve_Operations#Generating_EC_Keys_and_Parameters
Usage Example:
let pemKey = """
-----BEGIN EC PRIVATE KEY-----
MHcCAQEEIJX+87WJ7Gh19sohyZnhxZeXYNOcuGv4Q+8MLge4UkaZoAoGCCqGSM49
AwEHoUQDQgAEikc5m6C2xtDWeeAeT18WElO37zvFOz8p4kAlhvgIHN23XIClNESg
KVmLgSSq2asqiwdrU5YHbcHFkgdABM1SPA==
-----END EC PRIVATE KEY-----
"""
let privateKey = try ECPrivateKey(key: pemKey)
let signature = "Hello world".sign(with: privateKey)
-
A String description of the curve this key was generated from.
Declaration
Swift
public let curveId: String
-
The
EllipticCurve
this key was generated from.Declaration
Swift
public let curve: EllipticCurve
-
The private key represented as a PEM String.
Declaration
Swift
public let pemString: String
-
Initialize an ECPrivateKey from a PEM String. This can either be from a
.p8
file with the header—–BEGIN PRIVATE KEY—–
, or from a.pem
file with the header—–BEGIN EC PRIVATE KEY—–
.Usage Example:
let privateKeyString = """ -----BEGIN EC PRIVATE KEY----- MHcCAQEEIJX+87WJ7Gh19sohyZnhxZeXYNOcuGv4Q+8MLge4UkaZoAoGCCqGSM49 AwEHoUQDQgAEikc5m6C2xtDWeeAeT18WElO37zvFOz8p4kAlhvgIHN23XIClNESg KVmLgSSq2asqiwdrU5YHbcHFkgdABM1SPA== -----END EC PRIVATE KEY----- """ let key = try ECPrivateKey(key: privateKeyString)
Throws
An ECError if the PEM string can’t be decoded or is not a valid key.Declaration
Swift
public convenience init(key: String) throws
Parameters
key
The elliptic curve private key as a PEM string.
Return Value
An ECPrivateKey.
-
Initialize an ECPrivateKey from a PKCS8
.der
file data.
This is equivalent to a PEM String that has had the—–BEGIN PRIVATE KEY—–
header and footer stripped and been base64 encoded to ASN1 Data.Throws
An ECError if the Data can’t be decoded or is not a valid key.Declaration
Swift
public init(pkcs8DER: Data) throws
Parameters
pkcs8DER
The elliptic curve private key Data.
Return Value
An ECPrivateKey.
-
Initialize an ECPrivateKey from a SEC1
.der
file data.
This is equivalent to a PEM String that has had the—–BEGIN EC PRIVATE KEY—–
header and footer stripped and been base64 encoded to ASN1 Data.Throws
An ECError if the Data can’t be decoded or is not a valid key.Declaration
Swift
public init(sec1DER: Data) throws
Parameters
sec1DER
The elliptic curve private key Data.
Return Value
An ECPrivateKey.
-
Initialize the
ECPublicKey
for this private key by extracting the public key bytes.Throws
An ECError if the public key fails to be initialized from this private key.Declaration
Swift
public func extractPublicKey() throws -> ECPublicKey
Return Value
An ECPublicKey.
-
Make an new ECPrivate key from a supported
EllipticCurve
.Throws
An ECError if the key fails to be created.Declaration
Swift
public static func make(for curve: EllipticCurve) throws -> ECPrivateKey
Return Value
An ECPrivateKey.


Maharashtra Govt Formation Update: Congress-NCP On The Same Page, Will Meet Shiv Sena Tomorrow, Says Prithviraj Chavan
by Swarajya StaffCommenting on government formation talks in Maharashtra, veteran Congress leader Prithviraj Chavan stated that there existed complete unanimity between his party and its ally NCP regarding the same, reports News18.
"After the discussions are completed and agreed on all points, the media will be briefed on the architecture of the alliance," he said, adding that the Shiv sena has been kept in loop on all discussions,” he said.
He also revealed that there would be a meeting between their side and the Shiv Sena tomorrow (22 November), and any announcement regarding government formation could only be given after the said meeting was over.
Earlier in the day it was reported the Congress Working Committee (CWC) had given its go-ahead for the formation of a coalition government with the Shiv Sena in Maharashtra.


{% load static %}
This is a list of all users associated with this OnRamp server instance. Current functionality allows you to add and delete users.
| ID | Username | First Name | Last Name | Admin | Enabled | Update | Disable/Enable | Delete | |
|---|---|---|---|---|---|---|---|---|---|
Field
Current Value
New Value
Username
First Name
Last Name
Password
Retype Password
Admin
Enabled
| ID | Name | Description | View/Edit |
|---|---|---|---|
| ID | Run Name | User | Workspace | PCE | Module | Status | Runtime | View/Edit |
|---|---|---|---|---|---|---|---|---|


Comments
-
Greg Hurrell
Thanks for the report, Tony. Have you tried taking a sample (using the Activity Monitor utility) to see what iTunes is doing during the laggy periods?
I haven't actually used iTunes to watch music videos yet so I'll try to get a hold of some and do some testing. In the meantime, can anyone else confirm that they've seen this problem?
-
Tony Padgett
I can't see the activity monitor since I am viewing the video at full screen. When I play a new song, the floater appears, and while it is displayed, video is very stuttery. Once the floater disappears (or if I have it turned off), the video plays normally.
Please keep in mind that I have decode my videos in H.264 with a resolution of 640 x 480. My processor is running at 867MHz, so I think the video is just too large to process for the power of my machine maybe, unless I have everything else turned off.
-
Tony Padgett
Let me make a minor adjustment to my last comment. The video is stuttery when the floater fades in and fades out only--not when it is still and full. Again, most likely the processing power of my Mac when using 640x480 video?
-
Greg Hurrell
Ok, so it sounds like this is definitely a case of asking too much of the machine (video too large, quality too high, not enough processing power). There are two parts to this problem:
(1) Apple needs to do more optimization of its QuickTime and Quartz layers (I suspect the problem is unlikely to be in iTunes itself and more likely to be in the underlying APIs that it uses).
(2) I can try to optimize Synergy's drawing routines so that they require less CPU cycles, with particular emphasis on when fading (seeing as you note that the stuttering only occurs during fading).
So one thing you can do is file a bug report with Apple encouraging them to work on the efficiency of their H.264 decoding on older machines:
https://bugreport.apple.com/ (requires at least online ADC membership, which is free)
http://www.apple.com/feedback/itunes.html
The other thing we can do is try to optimize Synergy. From what you say it looks like the optimization will need to be done at the drawing level, but it might be possible to reduce the amount of Apple Event communication between Synergy and iTunes as well which could have a positive impact. I've reworded the summary to reflect what needs to be done.
-
Tony Padgett
Wincent,
The more I play around with the videos I ripped/encoded in H.264, the more I am convinced that a major issue is with QT. If I play the videos in QT directly, I still notice a sluggish video and the controls don't respond very quickly. I am thinking about upgrading my G4 processor to something faster, but I checked the videos out on a Windows machine that runs at 3 GHz using QT, and while the controls seem to work normally, the video does have some minor trouble playing (stutter), so upgrading my processor might not be the solution. In addition, this seems to be only in the beginning 15 seconds or so for both, but after it plays for a while, there are no problems (except the controls are still slow to respond on my Mac).
That being said, I do notice that when Synergy's floater is turned off the problem becomes less (but does not go away entirely), so it does seem to be a (minor) problem, especially with the fade-in and fade-out.
Are there reports that QT and Quartz layers (not really sure what the second part is) is due to Apple not optimizing them?
-
Greg Hurrell
Changing assignment to reflect my new email address.
http://wincent.com/a/news/archives/2006/05/change_of_email.php
Add a comment
Comments are now closed for this issue.


WITNESS LIST Public Education Committee May 6, 1999-2:00P SB 4 For: Grusendorf, Bill (Texas Association of Rural Schools) Against: McLamore, Mike (Association of Texas Professional Educators) On: Colbert, Paul (El Paso Independent School District) Foster, Craig (Equity Center) Hartman, Eric (Texas Federation of Teachers) Hollingsworth, Lonnie (TCTA) Lavine, Richard (Center for Public Policy Priorities) Miller, Karen (Texas Congress of Parents and Teachers) Wall, Marjorie (Texas State Teachers Association) Wood, Buck (Equity Center) SB 103 For: Hartman, Eric (Texas Federation of Teachers) Against: Cecil, Stephanie (Texas Eagle Forum) Hamilton, Taddie (Texas Council for the Social Studies) Kauffman, Al (Mexican American Legal Defense and Educational Fund) On: Hollingsworth, Lonnie (TCTA) Levin, Jay (TSTA) McLamore, Mike (ATPE) Miller, Geraldine (Self) Moses, Mike (TEA) Smisko, Ann (TEA) SB 1472 For: Tempelton, Arleigh (Self)


Welcome to the Bus-Mall Focus Group!
Congratulations! If you're reading this, you have been given the secret url to our Focus Group! We at Bus-Mall! are trying to figure out which products to include in our upcoming Spring 2018 catalog! Please review each of the products below, (hover over them for a brief description) and select which of the three you would be most likely to buy. After making 25 selections, you will be redirected to our payment page, where you will be compensated with one carton of cigarettes and an ORCA card!


There are a lot of ways to think about sessions at SRCCON. We’ve put this guide together to help you turn your great idea into an equally great proposal.
SRCCON Session Proposal Guide
- What Are SRCCON Sessions Like?
- About Our Proposal & Review Process
- Making Your Session Proposal Stand Out
- Planning Your Session
- How We Support SRCCON Proposers
- Submit a Session Proposal
What Are SRCCON Sessions Like?
SRCCON is different than many other conferences you may have attended. It’s a highly participatory event: no panels on a stage or speakers running through slides. You might notice that we always refer to “facilitators” or “session leaders,” because when you run a breakout session at SRCCON, you’re in a room with dozens of other smart people with an opportunity to compare notes, share skills, and help everyone learn from each other.
A few principles lay the groundwork for our program as a whole:
- SRCCON is built around participation, discussion, and collaborative problem-solving.
- SRCCON exists to respond to the needs and interests of our community, and we’re intentional in including perspectives from throughout the field.
- Every attendee is a peer. Conference badges don’t flag organizations or speaker status—we’re all here to learn from each other.
Our sessions inhabit these values in different ways, through structured discussions and problem-solving groups; peer-to-peer workshops; even games, drawing, or field trips. We avoid traditional lectures and classroom-style trainings, but we welcome your creativity across a range of hands-on and collaborative session styles.
Key Dates in the Proposal Process
- April 24: call for participation closes at 11:59pm ET
- May 10: all proposers notified about status of their sessions
As you’re finalizing your session proposal, in addition to this guide we have a handy walkthrough of the call for participation form itself!
Our Session Review Process
Our goal is to build a conference schedule with a mix of technical workshops, culturally focused discussions, and sessions that exist somewhere in between. As the SRCCON team reviews proposals, we look for:
- topics that are relevant to developers, designers, journalists, and editors in newsrooms
- a session description that shows you’ve thought through your time with attendees
- thoughts about what you’d like participants to take away from your session
Our program for SRCCON will be built around key community values:
- We experiment in the open—by sharing our work and processes, we do the innovative work our organizations need to evolve on the web and better inform our audiences.
- We support one another—by offering each other our expertise and empathy, we find new collaborators, help each other learn, and make our networks and organizations more resilient.
- We lead change—by challenging the power structures that have failed our industry, we push for inclusive, long-lasting change in our newsrooms, led by journalists of color and the wide community of journalists outside of NYC/DC.
After the call for participation closes, we set aside two weeks for consideration by OpenNews staff. We also invite a diverse group of community members to provide feedback during the session review process. Our priority is to build a balanced program that reflects the entire community, and we actively welcome session proposals from members of communities underrepresented in journalism and technology, and from non-coastal and small-market news organizations.
What Goes Into a Great Session Proposal?
Successful sessions often emerge from a single question or problem—if you’ve been struggling with just about any aspect of your work, you can bet others have dealt with it, too. Topics don’t just emerge from a list of latest trends; we bring them to SRCCON because facilitators are passionate and excited to share.
As you propose an idea for SRCCON, your session description is the first opportunity to tell us how you’ll spend time your time with everyone else who’s excited about the same topic. We reserve 75 minutes for each session, which can be plenty of time to dig into even deep topics—but it does go faster than you think! Even though SRCCON is a conversational conference, a sketch of the ground you hope to cover is a great indicator of the thought you’re putting into a session.
Effective SRCCON sessions are about effort and preparation more than expertise. We encourage you to describe how you’ll share what you know, the types of great questions you’ll pose, and the ways you’ll help people learn something new. We find that the most promising proposals:
- take on a topic that can be realistically covered in a little more than an hour
- provide a clear and inviting description of the session
- describe a clear outcome—what people can expect to leave with
Qualities That Make a Session Proposal Stand Out
- Creative formats. Think about an agenda or activity that can draw people in and support learning or sharing.
- An inclusive perspective. Journalism needs to hear from underrepresented communities and organizations outside the New York-DC corridor. We look for these voices in our session topics and facilitators.
- Topics you don’t often see at traditional conferences. SRCCON welcomes hard conversations, and session topics you might have never seen on a journalism conference schedule before.
- A plan that helps attendees upgrade their skills. That might mean learning a new technique or technology, or digging deeper into an existing area of expertise.
- A plan that helps attendees expand their peer group. SRCCON connects people with a community of peers they can reach out to for collaboration and support down the road.
How to Plan a Session That Works
SRCCON is a genuinely participatory event, and it’s hard to participate in a session that’s mostly lecture with a few minutes for discussion. It’s great to start thinking about the format for your session now, and include detail in your proposal. It’s totally OK if you plan to set up a session with an intro and a few slides, or to use examples throughout to support learning, but we do look for pitches that include real interactivity.
Our final program will include conversational sessions, where people can dig into questions or problems in a way they can’t at larger conferences, as well as technical sessions, where people share specific expertise and participants leave with a new skill. Outstanding session formats in previous years have included:
- design exercises
- roundtable conversations
- games
- technical workshops
- small-group breakouts
- physical movement and field trips
We’re always interested in new ideas, too, so feel free to propose something we’ve never imagined!
It’s also useful to think about information/activity density and, again, your desired takeaways. Over-programming a session with too many activities can make it impossible to get to your goals, but a session that’s underdesigned can easily turn into a conversation between a handful of the loudest people. We’re happy to help proposers figure out the right balance, and we don’t expect you to have all the answers at the pitch stage, but it’s good to start thinking about content density early on. (When in doubt, narrow your scope.)
Pitching With a Co-Facilitator
A co-facilitator for your SRCCON session can share the load of preparation and facilitation, as well as the fun of participating in the conference itself. If you’re comfortable leading a session by yourself, that’s great too!
Only one person needs to submit the full session idea in our call for participation form—co-facilitators can let us know “somebody else has already listed me as a co-facilitator” in the form, and we’ll link you all up. Feel free to work on the proposal together, but don’t limit yourself to pitching with someone who can fill out the form sitting alongside you.
We consider solo and team proposals alike. But if you feel like your session could benefit from a co-facilitator, we encourage you to consider pitching with someone from another organization, and/or with a different background from your own. If you’ve attended SRCCON before, you might even consider proposing with someone who hasn’t been yet. (We won’t reject proposals featuring two members of the same team, two SRCCON alums, etc., but we may favor proposals that mix it up.)
And if we see a number of pitches on the same subject, you can bet we’ll make sure it’s represented on the schedule. Sometimes we’ll even suggest that proposers consider joining up to lead a session together as co-facilitators.
Example Sessions from Previous SRCCONs
To give you a taste of how SRCCON facilitators turn plans into action, here are a few writeups from previous participants:
- 3 Ways To Facilitate A Great Conference Session, by ProPublica’s Sisi Wei
- How We Facilitated A Huge, Participatory, Highly Charged SRCCON Session, by NPR’s Alyson Hurt
- Teaching and Brainstorming Inclusive Technical Metaphors, by Vox Product’s Nicole Zhu
- Stuck in a Rut? Tackle Newsroom Frustrations With Board Games, by Sara Konrad Baranowski of the Iowa Falls Times Citizen and Andrea Suozzo of Vermont’s Seven Days
- Great Conference Sessions, the SRCCON Way, by Brent Jones of St. Louis Public Radio
And here are a few more examples of sessions that have worked well in the past:
- Every day I’m juggling: Managing managers, peer expectations, and your own project ideas. Talking to management, helping them to see things from your perspective, coaxing change out of newsrooms—it’s tough to go it alone. This session used the “experts in the room” to help level each other up.
- Let’s All Be Terrible at Things Together. This session forced people out of their comfort zones and into collaborating around weaknesses and fears.
- Mentorship at Scale: How The NYT Women in Tech group build a mentorship program for 250+ people in our free time. This session shared practical tips from leaders who helped create a program in their own newsroom, and ran condensed versions of goal-planning and peer-coaching workshops.
- Threat Modeling, But For Your Own Well-Being. This session used a guided series of questions to help participants identify their sources of anxiety, and then shared strategies for taking care of yourself emotionally.
- Lights, Camera, Algorithms: Acting out (and then discussing) Machine Learning. This session got participants up and moving around, with active learning exercises (and dice-rolling!) that helped make sense of abstract concepts.
- Managing the blind spots in community news coverage. Participants worked together on strategies to identify the blind spots in their own newsroom’s coverage, talk about them with decision-makers, and build relationships with underserved communities.
Tickets for Facilitators
We’ll reserve a ticket for purchase by facilitators of each accepted session. We do not provide free tickets for session facilitators, but we do offer need-based scholarships that anyone can apply for if they need help covering the costs of attending. (Here’s more information about scholarships to SRCCON.)
Why do we do it this way? SRCCON is a collaborative, peer-to-peer event, and we consider all attendees to be active participants, not just speakers or passive audience members. This approach also helps us keep ticket prices low enough to be affordable for most news organizations.
How We Support SRCCON Proposers
Ok, so you’re excited to pitch your SRCCON session! If you feel ready to go, you can submit your proposal now. If you have still have some questions, we are here for you:
- Always feel free to email<EMAIL_ADDRESS>We’re happy to give feedback on session proposals, answer questions not covered here, or help in other ways.
- Check out the #srccon channesl on the News Nerdery or Lonely Coders Club Slacks. OpenNews staff members are in those channels, so if there’s a question that may be of broad interest, feel free to raise it there.
- As we get closer to SRCCON, we’ll also publish a guide like this one with details and advice about facilitation, and we’ll provide further resources for facilitators. If you’re passionate about your proposal but unsure about the facilitation part, don’t worry—you will be well supported in the weeks leading up to SRCCON.


You just created a new and cool video game. However, there's a lot of HATERS >:(. What will you do? Cancel the game or keep going?Cancel the game or keep going


Provides tools for denoising noisy signal and images via Total Variation Regularization. Reducing the total variation of the given signal is known to remove spurious detail while preserving essential structural details. For the seminal work on the topic, see Rudin et al (1992) <doi:10.1016/0167-2789(92)90242-F>.
| Version: | 0.3.0 |
| Depends: | R (≥ 2.14.0) |
| Imports: | Rcpp, Matrix, Rdpack |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-09-16 |
| Author: | Kisung You [aut, cre] |
| Maintainer: | Kisung You <kyou at nd.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | tvR results |
| Reference manual: | tvR.pdf |
| Package source: | tvR_0.3.0.tar.gz |
| Windows binaries: | r-devel: tvR_0.3.0.zip, r-release: tvR_0.3.0.zip, r-oldrel: tvR_0.3.0.zip |
| OS X binaries: | r-release: tvR_0.3.0.tgz, r-oldrel: tvR_0.3.0.tgz |
| Old sources: | tvR archive |
Please use the canonical form https://CRAN.R-project.org/package=tvR to link to this page.


uncategorizesObjects Class
If an object has no time or location data it is displayed in the bottom container of the corresponding view. This class provides the means to do so.
If an object has no time or location data it is displayed in the bottom container of the corresponding view. This class provides the means to do so.


Server Could not find data for suggested input string
Please try with more elaborate possible movie names
Search


GSEO sees record 3Q19 profit
by Adam Hwang, DIGITIMES, TaipeiOptical lens module maker Genius Electronic Optical (GSEO) has reported third-quarter 2019 net profit reached NT$1.301 billion (US$42.6 million), hitting a record level and soaring 496.54% sequentially and 377.76% on year.
GSEO posted consolidated revenues of NT$5.057 billion, gross margin of 49.27%, net operating profit of NT$1.829 billion and net EPS of NT$12.91 for third-quarter 2019, all hitting quarterly records.
For the first three quarters of 2019, GSEO recorded consolidated revenues of NT$8.265 billion, gross margin of 45.30%, net operating profit of NT$2.169 billion, net profit of NT$1.524 billion and net EPS of NT$15.13.
GSEO's October consolidated revenues reached NT$1.468 billion, slipping 23.88% sequentially but hiking 79.32% on year, and those of NT$9.726 billion for January-October grew 47.24% on year.


Recruiter Hunt
Welcome to Recruiters Web Application
Create your job post and find matched resumes in 15 minutes!
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First reading list
24 Apr 2014With the news of our grant, I ordered some books that I've been wantint to read.
And here are some reading notes from Heidegger's Being and Time.
And here are some notes from Stiegler's What makes life worth living?
I've asked Nick to read Stiegler's Technics and Time 1. We will be posting reading notes and conversations shortly.


{% load i18n %}
{% trans 'If you are still not redirected to search page please click the following link' %}
{{ query }}


Hello I’m Vincent Edeh
Plot 6 wemabod estate
satellite town,
Lagos.
08105095268
Vincentedeh42@gmail. com
Skills
- I am Proficient in hardware repairs of computer systems.
- I am also a frontend web developer with HTML, css, and JavaScript.
Experience
January 2018- PRESENT
Upwork, fiver - freelancer
- I design effective websites for business and help said businesses scale online
- I also refurbish websites for clients and manage the websites too.
Education
Sespantember 2017 - Current
Federal University of Technology, Owerri - first degree .
I am currently in my third year at the federal
university of technology owerri (FUTO) majoring in computer science.


GUI for selected functionallity of Thermopack.
Front end author: Bendik Støa Sannes
Back end authors: Morten Hammer (Morten.Hammer@sintef.no), Ailo Aasen (Ailo.Aasen@sintef.no), Øivind Wilhelmsen (Oivind.Wilhelmsen@sintef.no), and multiple collegues at SINTEF Energy Research department of Gas Technology.
This GUI has been developed with support from the NCCS Centre, performed under the Norwegian research programme Centres for Environment-friendly Energy Research (FME). The authors acknowledge the following partners for their contributions: Aker Solutions, Ansaldo Energia, Baker Hughes, CoorsTek Membrane Sciences, EMGS, Equinor, Gassco, Krohne, Larvik Shipping, Lundin, Norcem, Norwegian Oil and Gas, Quad Geometrics, Total, Vår Energi and the Research Council of Norway (257579).
Icons made by Freepik from www.flaticon.com


twilio.rest.trusthub.v1.trust_products package¶
Submodules¶
twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment module¶
This code was generated by / _ _ _| _ _
(_)/(_)(_|/| |(/_ v1.0.0 / /
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.
TrustProductsChannelEndpointAssignmentContext
(version, trust_product_sid, sid)[source]¶ Bases:
twilio.base.instance_context.InstanceContext
-
delete
()[source]¶ Deletes the TrustProductsChannelEndpointAssignmentInstance
Returns: True if delete succeeds, False otherwise Return type: bool
-
fetch
()[source]¶ Fetch the TrustProductsChannelEndpointAssignmentInstance
Returns: The fetched TrustProductsChannelEndpointAssignmentInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentInstance
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.
TrustProductsChannelEndpointAssignmentInstance
(version, payload, trust_product_sid, sid=None)[source]¶ Bases:
twilio.base.instance_resource.InstanceResource
-
account_sid
¶ Returns: The SID of the Account that created the resource Return type: unicode
-
channel_endpoint_sid
¶ Returns: The sid of an channel endpoint Return type: unicode
-
channel_endpoint_type
¶ Returns: The type of channel endpoint Return type: unicode
-
date_created
¶ Returns: The ISO 8601 date and time in GMT when the resource was created Return type: datetime
-
delete
()[source]¶ Deletes the TrustProductsChannelEndpointAssignmentInstance
Returns: True if delete succeeds, False otherwise Return type: bool
-
fetch
()[source]¶ Fetch the TrustProductsChannelEndpointAssignmentInstance
Returns: The fetched TrustProductsChannelEndpointAssignmentInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentInstance
-
sid
¶ Returns: The unique string that identifies the resource Return type: unicode
-
trust_product_sid
¶ Returns: The unique string that identifies the CustomerProfile resource. Return type: unicode
-
url
¶ Returns: The absolute URL of the Identity resource Return type: unicode
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.
TrustProductsChannelEndpointAssignmentList
(version, trust_product_sid)[source]¶ Bases:
twilio.base.list_resource.ListResource
-
create
(channel_endpoint_type, channel_endpoint_sid)[source]¶ Create the TrustProductsChannelEndpointAssignmentInstance
Parameters: - channel_endpoint_type (unicode) – The type of channel endpoint
- channel_endpoint_sid (unicode) – The sid of an channel endpoint
Returns: The created TrustProductsChannelEndpointAssignmentInstance
Return type:
-
get
(sid)[source]¶ Constructs a TrustProductsChannelEndpointAssignmentContext
Parameters: sid – The unique string that identifies the resource Returns: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentContext Return type: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentContext
-
get_page
(target_url)[source]¶ Retrieve a specific page of TrustProductsChannelEndpointAssignmentInstance records from the API. Request is executed immediately
Parameters: target_url (str) – API-generated URL for the requested results page Returns: Page of TrustProductsChannelEndpointAssignmentInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentPage
-
list
(channel_endpoint_sid=<object object>, channel_endpoint_sids=<object object>, limit=None, page_size=None)[source]¶ Lists TrustProductsChannelEndpointAssignmentInstance records from the API as a list. Unlike stream(), this operation is eager and will load limit records into memory before returning.
Parameters: - channel_endpoint_sid (unicode) – The sid of an channel endpoint
- channel_endpoint_sids (unicode) – comma separated list of channel endpoint sids
- limit (int) – Upper limit for the number of records to return. list() guarantees never to return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, list() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentInstance]
-
page
(channel_endpoint_sid=<object object>, channel_endpoint_sids=<object object>, page_token=<object object>, page_number=<object object>, page_size=<object object>)[source]¶ Retrieve a single page of TrustProductsChannelEndpointAssignmentInstance records from the API. Request is executed immediately
Parameters: - channel_endpoint_sid (unicode) – The sid of an channel endpoint
- channel_endpoint_sids (unicode) – comma separated list of channel endpoint sids
- page_token (str) – PageToken provided by the API
- page_number (int) – Page Number, this value is simply for client state
- page_size (int) – Number of records to return, defaults to 50
Returns: Page of TrustProductsChannelEndpointAssignmentInstance
Return type:
-
stream
(channel_endpoint_sid=<object object>, channel_endpoint_sids=<object object>, limit=None, page_size=None)[source]¶ Streams TrustProductsChannelEndpointAssignmentInstance records from the API as a generator stream. This operation lazily loads records as efficiently as possible until the limit is reached. The results are returned as a generator, so this operation is memory efficient.
Parameters: - channel_endpoint_sid (unicode) – The sid of an channel endpoint
- channel_endpoint_sids (unicode) – comma separated list of channel endpoint sids
- limit (int) – Upper limit for the number of records to return. stream() guarantees to never return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, stream() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentInstance]
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.
TrustProductsChannelEndpointAssignmentPage
(version, response, solution)[source]¶ Bases:
twilio.base.page.Page
-
get_instance
(payload)[source]¶ Build an instance of TrustProductsChannelEndpointAssignmentInstance
Parameters: payload (dict) – Payload response from the API Returns: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentInstance
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twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments module¶
This code was generated by / _ _ _| _ _
(_)/(_)(_|/| |(/_ v1.0.0 / /
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.
TrustProductsEntityAssignmentsContext
(version, trust_product_sid, sid)[source]¶ Bases:
twilio.base.instance_context.InstanceContext
-
delete
()[source]¶ Deletes the TrustProductsEntityAssignmentsInstance
Returns: True if delete succeeds, False otherwise Return type: bool
-
fetch
()[source]¶ Fetch the TrustProductsEntityAssignmentsInstance
Returns: The fetched TrustProductsEntityAssignmentsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsInstance
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.
TrustProductsEntityAssignmentsInstance
(version, payload, trust_product_sid, sid=None)[source]¶ Bases:
twilio.base.instance_resource.InstanceResource
-
account_sid
¶ Returns: The SID of the Account that created the resource Return type: unicode
-
date_created
¶ Returns: The ISO 8601 date and time in GMT when the resource was created Return type: datetime
-
delete
()[source]¶ Deletes the TrustProductsEntityAssignmentsInstance
Returns: True if delete succeeds, False otherwise Return type: bool
-
fetch
()[source]¶ Fetch the TrustProductsEntityAssignmentsInstance
Returns: The fetched TrustProductsEntityAssignmentsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsInstance
-
object_sid
¶ Returns: The sid of an object bag Return type: unicode
-
sid
¶ Returns: The unique string that identifies the resource Return type: unicode
-
trust_product_sid
¶ Returns: The unique string that identifies the TrustProduct resource. Return type: unicode
-
url
¶ Returns: The absolute URL of the Identity resource Return type: unicode
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.
TrustProductsEntityAssignmentsList
(version, trust_product_sid)[source]¶ Bases:
twilio.base.list_resource.ListResource
-
create
(object_sid)[source]¶ Create the TrustProductsEntityAssignmentsInstance
Parameters: object_sid (unicode) – The sid of an object bag Returns: The created TrustProductsEntityAssignmentsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsInstance
-
get
(sid)[source]¶ Constructs a TrustProductsEntityAssignmentsContext
Parameters: sid – The unique string that identifies the resource Returns: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsContext Return type: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsContext
-
get_page
(target_url)[source]¶ Retrieve a specific page of TrustProductsEntityAssignmentsInstance records from the API. Request is executed immediately
Parameters: target_url (str) – API-generated URL for the requested results page Returns: Page of TrustProductsEntityAssignmentsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsPage
-
list
(limit=None, page_size=None)[source]¶ Lists TrustProductsEntityAssignmentsInstance records from the API as a list. Unlike stream(), this operation is eager and will load limit records into memory before returning.
Parameters: - limit (int) – Upper limit for the number of records to return. list() guarantees never to return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, list() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsInstance]
-
page
(page_token=<object object>, page_number=<object object>, page_size=<object object>)[source]¶ Retrieve a single page of TrustProductsEntityAssignmentsInstance records from the API. Request is executed immediately
Parameters: Returns: Page of TrustProductsEntityAssignmentsInstance
Return type:
-
stream
(limit=None, page_size=None)[source]¶ Streams TrustProductsEntityAssignmentsInstance records from the API as a generator stream. This operation lazily loads records as efficiently as possible until the limit is reached. The results are returned as a generator, so this operation is memory efficient.
Parameters: - limit (int) – Upper limit for the number of records to return. stream() guarantees to never return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, stream() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsInstance]
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.
TrustProductsEntityAssignmentsPage
(version, response, solution)[source]¶ Bases:
twilio.base.page.Page
-
get_instance
(payload)[source]¶ Build an instance of TrustProductsEntityAssignmentsInstance
Parameters: payload (dict) – Payload response from the API Returns: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsInstance
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twilio.rest.trusthub.v1.trust_products.trust_products_evaluations module¶
This code was generated by / _ _ _| _ _
(_)/(_)(_|/| |(/_ v1.0.0 / /
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.
TrustProductsEvaluationsContext
(version, trust_product_sid, sid)[source]¶ Bases:
twilio.base.instance_context.InstanceContext
-
fetch
()[source]¶ Fetch the TrustProductsEvaluationsInstance
Returns: The fetched TrustProductsEvaluationsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsInstance
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.
TrustProductsEvaluationsInstance
(version, payload, trust_product_sid, sid=None)[source]¶ Bases:
twilio.base.instance_resource.InstanceResource
-
account_sid
¶ Returns: The SID of the Account that created the resource Return type: unicode
-
date_created
¶ Returns: The date_created Return type: datetime
-
fetch
()[source]¶ Fetch the TrustProductsEvaluationsInstance
Returns: The fetched TrustProductsEvaluationsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsInstance
-
policy_sid
¶ Returns: The unique string of a policy Return type: unicode
-
sid
¶ Returns: The unique string that identifies the Evaluation resource Return type: unicode
-
status
¶ Returns: The compliance status of the Evaluation resource Return type: TrustProductsEvaluationsInstance.Status
-
trust_product_sid
¶ Returns: The unique string that identifies the resource Return type: unicode
-
url
¶ Returns: The url Return type: unicode
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.
TrustProductsEvaluationsList
(version, trust_product_sid)[source]¶ Bases:
twilio.base.list_resource.ListResource
-
create
(policy_sid)[source]¶ Create the TrustProductsEvaluationsInstance
Parameters: policy_sid (unicode) – The unique string of a policy Returns: The created TrustProductsEvaluationsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsInstance
-
get
(sid)[source]¶ Constructs a TrustProductsEvaluationsContext
Parameters: sid – The unique string that identifies the Evaluation resource Returns: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsContext Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsContext
-
get_page
(target_url)[source]¶ Retrieve a specific page of TrustProductsEvaluationsInstance records from the API. Request is executed immediately
Parameters: target_url (str) – API-generated URL for the requested results page Returns: Page of TrustProductsEvaluationsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsPage
-
list
(limit=None, page_size=None)[source]¶ Lists TrustProductsEvaluationsInstance records from the API as a list. Unlike stream(), this operation is eager and will load limit records into memory before returning.
Parameters: - limit (int) – Upper limit for the number of records to return. list() guarantees never to return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, list() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsInstance]
-
page
(page_token=<object object>, page_number=<object object>, page_size=<object object>)[source]¶ Retrieve a single page of TrustProductsEvaluationsInstance records from the API. Request is executed immediately
Parameters: Returns: Page of TrustProductsEvaluationsInstance
Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsPage
-
stream
(limit=None, page_size=None)[source]¶ Streams TrustProductsEvaluationsInstance records from the API as a generator stream. This operation lazily loads records as efficiently as possible until the limit is reached. The results are returned as a generator, so this operation is memory efficient.
Parameters: - limit (int) – Upper limit for the number of records to return. stream() guarantees to never return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, stream() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsInstance]
-
-
class
twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.
TrustProductsEvaluationsPage
(version, response, solution)[source]¶ Bases:
twilio.base.page.Page
-
get_instance
(payload)[source]¶ Build an instance of TrustProductsEvaluationsInstance
Parameters: payload (dict) – Payload response from the API Returns: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsInstance Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsInstance
-
Module contents¶
This code was generated by / _ _ _| _ _
(_)/(_)(_|/| |(/_ v1.0.0 / /
-
class
twilio.rest.trusthub.v1.trust_products.
TrustProductsContext
(version, sid)[source]¶ Bases:
twilio.base.instance_context.InstanceContext
-
delete
()[source]¶ Deletes the TrustProductsInstance
Returns: True if delete succeeds, False otherwise Return type: bool
-
fetch
()[source]¶ Fetch the TrustProductsInstance
Returns: The fetched TrustProductsInstance Return type: twilio.rest.trusthub.v1.trust_products.TrustProductsInstance
-
trust_products_channel_endpoint_assignment
¶ Access the trust_products_channel_endpoint_assignment
Returns: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentList Return type: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentList
-
trust_products_entity_assignments
¶ Access the trust_products_entity_assignments
Returns: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsList Return type: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsList
-
trust_products_evaluations
¶ Access the trust_products_evaluations
Returns: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsList Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsList
-
update
(status=<object object>, status_callback=<object object>, friendly_name=<object object>, email=<object object>)[source]¶ Update the TrustProductsInstance
Parameters: - status (TrustProductsInstance.Status) – The verification status of the Customer-Profile resource
- status_callback (unicode) – The URL we call to inform your application of status changes.
- friendly_name (unicode) – The string that you assigned to describe the resource
- email (unicode) – The email address
Returns: The updated TrustProductsInstance
Return type: twilio.rest.trusthub.v1.trust_products.TrustProductsInstance
-
-
class
twilio.rest.trusthub.v1.trust_products.
TrustProductsInstance
(version, payload, sid=None)[source]¶ Bases:
twilio.base.instance_resource.InstanceResource
-
class
Status
[source]¶ Bases:
object
-
DRAFT
= 'draft'¶
-
IN_REVIEW
= 'in-review'¶
-
PENDING_REVIEW
= 'pending-review'¶
-
TWILIO_APPROVED
= 'twilio-approved'¶
-
TWILIO_REJECTED
= 'twilio-rejected'¶
-
-
account_sid
¶ Returns: The SID of the Account that created the resource Return type: unicode
-
date_created
¶ Returns: The ISO 8601 date and time in GMT when the resource was created Return type: datetime
-
date_updated
¶ Returns: The ISO 8601 date and time in GMT when the resource was last updated Return type: datetime
-
delete
()[source]¶ Deletes the TrustProductsInstance
Returns: True if delete succeeds, False otherwise Return type: bool
-
email
¶ Returns: The email address Return type: unicode
-
fetch
()[source]¶ Fetch the TrustProductsInstance
Returns: The fetched TrustProductsInstance Return type: twilio.rest.trusthub.v1.trust_products.TrustProductsInstance
-
friendly_name
¶ Returns: The string that you assigned to describe the resource Return type: unicode
-
links
¶ Returns: The URLs of the Assigned Items of the Customer-Profile resource Return type: unicode
-
policy_sid
¶ Returns: The unique string of a policy. Return type: unicode
-
sid
¶ Returns: The unique string that identifies the resource. Return type: unicode
-
status
¶ Returns: The verification status of the Customer-Profile resource Return type: TrustProductsInstance.Status
-
status_callback
¶ Returns: The URL we call to inform your application of status changes. Return type: unicode
-
trust_products_channel_endpoint_assignment
¶ Access the trust_products_channel_endpoint_assignment
Returns: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentList Return type: twilio.rest.trusthub.v1.trust_products.trust_products_channel_endpoint_assignment.TrustProductsChannelEndpointAssignmentList
-
trust_products_entity_assignments
¶ Access the trust_products_entity_assignments
Returns: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsList Return type: twilio.rest.trusthub.v1.trust_products.trust_products_entity_assignments.TrustProductsEntityAssignmentsList
-
trust_products_evaluations
¶ Access the trust_products_evaluations
Returns: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsList Return type: twilio.rest.trusthub.v1.trust_products.trust_products_evaluations.TrustProductsEvaluationsList
-
update
(status=<object object>, status_callback=<object object>, friendly_name=<object object>, email=<object object>)[source]¶ Update the TrustProductsInstance
Parameters: - status (TrustProductsInstance.Status) – The verification status of the Customer-Profile resource
- status_callback (unicode) – The URL we call to inform your application of status changes.
- friendly_name (unicode) – The string that you assigned to describe the resource
- email (unicode) – The email address
Returns: The updated TrustProductsInstance
Return type: twilio.rest.trusthub.v1.trust_products.TrustProductsInstance
-
url
¶ Returns: The absolute URL of the Customer-Profile resource Return type: unicode
-
valid_until
¶ Returns: The ISO 8601 date and time in GMT when the resource will be valid until. Return type: datetime
-
class
-
class
twilio.rest.trusthub.v1.trust_products.
TrustProductsList
(version)[source]¶ Bases:
twilio.base.list_resource.ListResource
-
create
(friendly_name, email, policy_sid, status_callback=<object object>)[source]¶ Create the TrustProductsInstance
Parameters: - friendly_name (unicode) – The string that you assigned to describe the resource
- email (unicode) – The email address
- policy_sid (unicode) – The unique string of a policy.
- status_callback (unicode) – The URL we call to inform your application of status changes.
Returns: The created TrustProductsInstance
Return type: twilio.rest.trusthub.v1.trust_products.TrustProductsInstance
-
get
(sid)[source]¶ Constructs a TrustProductsContext
Parameters: sid – The unique string that identifies the resource. Returns: twilio.rest.trusthub.v1.trust_products.TrustProductsContext Return type: twilio.rest.trusthub.v1.trust_products.TrustProductsContext
-
get_page
(target_url)[source]¶ Retrieve a specific page of TrustProductsInstance records from the API. Request is executed immediately
Parameters: target_url (str) – API-generated URL for the requested results page Returns: Page of TrustProductsInstance Return type: twilio.rest.trusthub.v1.trust_products.TrustProductsPage
-
list
(status=<object object>, friendly_name=<object object>, policy_sid=<object object>, limit=None, page_size=None)[source]¶ Lists TrustProductsInstance records from the API as a list. Unlike stream(), this operation is eager and will load limit records into memory before returning.
Parameters: - status (TrustProductsInstance.Status) – The verification status of the Customer-Profile resource
- friendly_name (unicode) – The string that you assigned to describe the resource
- policy_sid (unicode) – The unique string of a policy.
- limit (int) – Upper limit for the number of records to return. list() guarantees never to return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, list() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.trusthub.v1.trust_products.TrustProductsInstance]
-
page
(status=<object object>, friendly_name=<object object>, policy_sid=<object object>, page_token=<object object>, page_number=<object object>, page_size=<object object>)[source]¶ Retrieve a single page of TrustProductsInstance records from the API. Request is executed immediately
Parameters: - status (TrustProductsInstance.Status) – The verification status of the Customer-Profile resource
- friendly_name (unicode) – The string that you assigned to describe the resource
- policy_sid (unicode) – The unique string of a policy.
- page_token (str) – PageToken provided by the API
- page_number (int) – Page Number, this value is simply for client state
- page_size (int) – Number of records to return, defaults to 50
Returns: Page of TrustProductsInstance
Return type:
-
stream
(status=<object object>, friendly_name=<object object>, policy_sid=<object object>, limit=None, page_size=None)[source]¶ Streams TrustProductsInstance records from the API as a generator stream. This operation lazily loads records as efficiently as possible until the limit is reached. The results are returned as a generator, so this operation is memory efficient.
Parameters: - status (TrustProductsInstance.Status) – The verification status of the Customer-Profile resource
- friendly_name (unicode) – The string that you assigned to describe the resource
- policy_sid (unicode) – The unique string of a policy.
- limit (int) – Upper limit for the number of records to return. stream() guarantees to never return more than limit. Default is no limit
- page_size (int) – Number of records to fetch per request, when not set will use the default value of 50 records. If no page_size is defined but a limit is defined, stream() will attempt to read the limit with the most efficient page size, i.e. min(limit, 1000)
Returns: Generator that will yield up to limit results
Return type: list[twilio.rest.trusthub.v1.trust_products.TrustProductsInstance]
-
-
class
twilio.rest.trusthub.v1.trust_products.
TrustProductsPage
(version, response, solution)[source]¶ Bases:
twilio.base.page.Page
-
get_instance
(payload)[source]¶ Build an instance of TrustProductsInstance
Parameters: payload (dict) – Payload response from the API Returns: twilio.rest.trusthub.v1.trust_products.TrustProductsInstance Return type: twilio.rest.trusthub.v1.trust_products.TrustProductsInstance
-


Sampler Hammersley [Ham60]
Description
The Hammersley sampler. This sampler is only 2D, with the first coordinate obtained by dividing the index of the sample by the total number of samples, and the second coordinate obtained by reversing the binary representation of the index.
For a more precise description of this sampler and its performances in terms of aliasing and discrepancy, please refer to the following web bundle https://liris.cnrs.fr/ldbn/HTML_bundle/index.html.
Files
src/samplers/Hammersley.cpp
include/utk/samplers/SamplerHammersley.hpp
Usage
Hammersley sampler
Usage: ./Hammersley [OPTIONS]
Options:
-h,--help Print this help message and exit
-n UINT REQUIRED Number of points
-d UINT UNUSED ! Here for compatibility with others.
-s,--seed UINT UNUSED ! Here for compatibility with others.
-m UINT [1] Number of pointsets
-o,--out TEXT [out.dat] Output file (format). {i} splits outputs in multiple files and token is replaced by index.
#include <utk/utils/PointsetIO.hpp>
#include <utk/utils/Pointset.hpp>
#include <utk/samplers/SamplerHammersley.hpp>
int main()
{
utk::Pointset<double> pts;
utk::SamplerHammersley ham;
// Check for no errors
if (ham.generateSamples(pts, 1024 /* Number of points */))
{
write_text_pointset("ham.dat", pts);
}
}
import pyutk
halton = pyutk.Hammersley()
samples = halton.sample(1024) # This is a numpy array !
Results
License
See Licence.md file.


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Just insert the lightweight script and css before others script on top of the body section of your page. Use pageLoader object to hide or show information.


Apache Lucene - Basic Demo Sources Walkthrough
About the Code
In this section we walk through the sources behind the basic Lucene Web Application demo: where to find them, their parts and their function. This section is intended for Java developers wishing to understand how to use Lucene in their applications or for those involved in deploying web applications based on Lucene.
Location of the source (developers/deployers)
Relative to the directory created when you extracted Lucene or retrieved it from Subversion, you should see a directory called src which in turn contains a directory called jsp. This is the root for all of the Lucene web demo.
Within this directory you should see index.jsp. Bring this up in vi or your editor of choice.
index.jsp (developers/deployers)
This jsp page is pretty boring by itself. All it does is include a header, display a form and include a footer. If you look at the form, it has two fields: query (where you enter your search criteria) and maxresults where you specify the number of results per page. By the structure of this JSP it should be easy to customize it without even editing this particular file. You could simply change the header and footer. Let's look at the header.jsp (located in the same directory) next.
header.jsp (developers/deployers)
The header is also very simple by itself. The only thing it does is include the configuration.jsp (which you looked at in the last section of this guide) and set the title and a brief header. This would be a good place to put your own custom HTML to "pretty" things up a bit. We won't cover the footer because all it does is display the footer and close your tags. Let's look at the results.jsp, the meat of this application, next.
results.jsp (developers)
Most of the functionality lies in results.jsp. Much of it is for paging the search results, which we'll not cover here as it's commented well enough. The first thing in this page is the actual imports for the Lucene classes and Lucene demo classes. These classes are loaded from the jars included in the WEB-INF/lib directory in the luceneweb.war file.
You'll notice that this file includes the same header and footer as index.jsp. From there it constructs an IndexSearcher with the indexLocation that was specified in configuration.jsp. If there is an error of any kind in opening the index, it is displayed to the user and the boolean flag error is set to tell the rest of the sections of the jsp not to continue.
From there, this jsp attempts to get the search criteria, the start index (used for paging) and the maximum number of results per page. If the maximum results per page is not set or not valid then it and the start index are set to default values. If only the start index is invalid it is set to a default value. If the criteria isn't provided then a servlet error is thrown (it is assumed that this is the result of url tampering or some form of browser malfunction).
The jsp moves on to construct a StandardAnalyzer to analyze the search text. This matches the analyzer used during indexing (IndexHTML), which is generally recommended. This is passed to the QueryParser along with the criteria to construct a Query object. You'll also notice the string literal "contents" included. This specifies that the search should cover the contents field and not the title, url or some other field in the indexed documents. If there is any error in constructing a Query object an error is displayed to the user.
In the next section of the jsp the IndexSearcher is asked to search given the query object. The results are returned in a collection called hits. If the length property of the hits collection is 0 (meaning there were no results) then an error is displayed to the user and the error flag is set.
Finally the jsp iterates through the hits collection, taking the current page into account, and displays properties of the Document objects we talked about in the first walkthrough. These objects contain "known" fields specific to their indexer (in this case IndexHTML constructs a document with "url", "title" and "contents").
Please note that in a real deployment of Lucene, it's best to instantiate IndexSearcher and QueryParser once, and then share them across search requests, instead of re-instantiating per search request.
More sources (developers)
There are additional sources used by the web app that were not specifically covered by either walkthrough. For example the HTML parser, the IndexHTML class and HTMLDocument class. These are very similar to the classes covered in the first example, with properties specific to parsing and indexing HTML. This is beyond our scope; however, by now you should feel like you're "getting started" with Lucene.
Where to go from here? (everyone!)
There are a number of things this demo doesn't do or doesn't do quite right. For instance, you may have noticed that documents in the root context are unreachable (unless you reconfigure Tomcat to support that context or redirect to it), anywhere where the directory doesn't quite match the context mapping, you'll have a broken link in your results. If you want to index non-local files or have some other needs this isn't supported, plus there may be security issues with running the indexing application from your webapps directory. There are a number of things left for you the developer to do.
In time some of these things may be added to Lucene as features (if you've got a good idea we'd love to hear it!), but for now: this is where you begin and the search engine/indexer ends. Lastly, one would assume you'd want to follow the above advice and customize the application to look a little more fancy than black on white with "Lucene Template" at the top. We'll see you on the Lucene Users' or Developers' mailing lists!
When to contact the Author
Please resist the urge to contact the authors of this document (without bribes of fame and fortune attached). First contact the mailing lists, taking care to Ask Questions The Smart Way. Certainly you'll get the most help that way as well. That being said, feedback, and modifications to this document and samples are ever so greatly appreciated. They are just best sent to the lists or posted as patches, so that everyone can share in them. Thanks for understanding!


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