{% extends 'base/base.html' %} {% load staticfiles %} {% load i18n %} {% block title %} The LINGUIST List {% endblock %} {% block content %}
GeoLing is a service operated by The LINGUIST List. All submissions to the LINGUIST List that have some reference to geo-coordinates, as for example conferences, summer school announcements, job postings, or institution locations, are displayed on GeoLing as soon as they get posted on LINGUIST.
If you have an online calendar where you keep local event announcements for your department, organization, or research group, and if you want these events to display on GeoLing directly, contact us and we will set up automatic updates for your local events using the online calendar directly. You can provide us with access information to such an online calendar by sending us the readable URL that could for example point to a shared Google Calendar, an online calendar that you host yourself, or one that we host for you at LINGUIST List. Please contact us for details.
Adding an event with a location to GeoLing can also be achieved by sending the event information as an iCal of vCal attachment to our email address at: calcard at linguistlist.org. All submissions are subject to validation and approval. It is important that the iCal entries contain the full specification of the address of the event in the location field. All reference times should be refering to a correct time-zone. You can send such a calendar entry for an event directly from Google Calendar, Microsoft Outlook, Apple Calendar, or the common calendar apps on mobile devices.
If you want your institution, research group, or even personal office address to show on GeoLing, simply send us an email with an attached vCard to the account calcard at linguistlist.org. All submitted addresses are subject to approval and verification. Please make sure that you are authorized to add the address of your institution to the system. You can send a vCard via email directly from Microsoft Outlook, Apple Contacts, or the common contacts and address apps on mobile devices.
First, go to Add Event page. You will see the following screen. If you already have account, please log in and skip to the last step (Event Form.)
After creating your account, you will see your profile page. On the top right corner, you will see your user name. Click on it and a dropdown menu will appear. Click on 'Add Event'.
You will see a form as in the following screenshot. Please fill in the form and submit.
{#Submission was successful.
#} {# #}GeoLing has been developed and is operated by the LINGUIST List team at Indiana University: Damir Cavar, Malgosia Cavar, Lwin Moe, and all the editors of LINGUIST List. We are grateful to all the interns and volunteers who helped us with the development and documentation of GeoLing!


Proof of Stake Minting Guidec
Proof of Stake (PoS) is a method to generate blocks Slimcoin inherited from Peercoin. In short: The more coins you have, the higher chance you get to find a block.
Block rewards are significantly lower in PoS than in PoW and PoB and they depend on the amount of Slimcoins you use to stake, although they are higher than in Peercoin. But on the other hand, PoS is basically risk-less income if your computer is secured and not compromised. And you contribute to the security of the system.
Requirements
To mint coins via Proof of Stake, you need a relatively high amount of Slimcoins. 200-300 Slimcoins may be enough, but it’s more secure if you try with about 1000 to 2000.
The coins must have not been moved for at least 7 days to qualify for Proof of Stake minting. If you move the coins, you will have to wait 7 days again. The weight of the staked coins rises until day 90, and then stays on the same level (a security measure to avoid certain attacks).
Important: If you wallet is encrypted, you must unlock it to be able to mint (like in Proof of Burn minting). In the graphical client you find the Unlock wallet item in the File menu. In the graphical client, you should use the following command in the console (Help -> Debug window -> Console tab):
walletpassphrase PASSPHRASE TIME true
PASSPHRASE being your passphrase and TIME the time it should be unlocked (in seconds). The “1” means that the unlocking won’t enable you to make transactions without entering the passphrase. If you want to unlock it indeterminately simply choose a large number, e.g. 999999999.
In the daemon, it is the same command, only you must add slimcoind before it.
What must I do to mint?
You have to do nothing! Simply stay online with the client and the wallet unlocked, and you will eventually find a Proof of Stake block if you have enough mature coins in your wallet.
Your coins work for you automatically, like in some parts of the financial world :)
The reserve balance (important!)
When you find a block, your staking coins will be frozen for some blocks to prevent certain kinds of attacks. During that time, you cannot do transactions with these staking coins.
To avoid this lock, you can set the so-called reserve balance. This is an amount of coins that won’t be frozen if you find a block. But on the other hand it won’t participate in “staking”.
The reserve balance can be set in the graphical client in the Options window in the Settings menu.
To permanently set a reserve balance, also if using the Slimcoin daemon (slimcoind), edit the slimcoin.conf configuration file and add:
reservebalance=NUMBER_OF_COINS
If reservebalance is set to 0, then you will stake with all coins.
CPU and memory usage
Proof of Stake, in Slimcoin, requires a relative high amount of memory and CPU resources. The amount of resources depends on the number of inputs that are used to stake. The more inputs you have in your wallet, the more resources are needed (Source).
Note: The number of inputs is related to the number of transactions you received. In short: normally, for every transaction you received, your wallet will contain one input. The more transactions you receive, the more inputs your wallet will have to manage.
Because of this issue, if the computer or server you use to mint is older or low on resources, it’s a good idea to not use the same wallet for Proof of Burn minting or Proof of Work mining and for Proof of Stake minting. Mining and PoB minting produce a continuous stream of new inputs that then will consume increasingly more resources when you mint by Proof of Stake.
It is advisable that you clean your wallet before you start to mint if you have a large amount of inputs. For this purpose, simply make a single transaction to one of your wallet addresses including all coins in the wallet. So you will have all your balance concentrated in one single input.


{% extends "front/base_docs.html" %} {% load compress static hc_extras %} {% block title %}API Reference - {% site_name %}{% endblock %} {% block description %} {% endblock %} {% block docs_content %}
{% site_name %} REST API supports listing, creating, updating, pausing and deleting checks in user's account.
| Get a list of existing checks |
GET {{ SITE_ROOT }}/api/v1/checks/
|
| Create a new check |
POST {{ SITE_ROOT }}/api/v1/checks/
|
| Update an existing check |
POST {{ SITE_ROOT }}/api/v1/checks/
|
| Pause monitoring of a check |
POST {{ SITE_ROOT }}/api/v1/checks//pause
|
| Delete check |
DELETE {{ SITE_ROOT }}/api/v1/checks/
|
| Get a list of existing integrations |
GET {{ SITE_ROOT }}/api/v1/channels/
|
Your requests to {% site_name %} REST API must authenticate using an API key. Each project in your {% site_name %} account has separate API keys. There are no account-wide API keys. By default, a project on {% site_name %} doesn't have an API key. You can create read-write and read-only API keys in the Project Settings page.
| Regular API keys | Have full access to all documented API endpoints. |
| Read-only API keys | Only work with the Get a list of existing checks endpoint. Some fields are omitted from the API responses. |
The client can authenticate itself by sending an appropriate HTTP
request header. The header's name should be X-Api-Key
and
its value should be your API key.
Alternatively, for POST requests with a JSON request body,
the client can include an api_key
field in the JSON document.
See below the "Create a check" section for an example.
For POST requests, the {% site_name %} API expects request body to be
a JSON document (not a multipart/form-data
encoded
form data).
{% site_name %} uses HTTP status codes wherever possible. In general, 2xx class indicates success, 4xx indicates an client error, and 5xx indicates a server error.
The response may contain a JSON document with additional data.
Returns a list of checks belonging to the user, optionally filtered by one or more tags.
| tag=<value> |
Filters the checks, and returns only the checks that are tagged with the specified value. This parameter can be repeated multiple times. Example: {{ SITE_ROOT }}/api/v1/checks/?tag=foo&tag=bar |
|---|
When using the read-only API key, the following fields are omitted:
ping_url
, update_url
, pause_url
,
channels
. An extra unique_key
field is added.
This identifier is stable across API calls. Example:
Creates a new check and returns its ping URL. All request parameters are optional and will use their default values if omitted.
This API call can be used to create both "simple" and "cron" checks. To create a "simple" check, specify the "timeout" parameter. To create a "cron" check, specify the "schedule" and "tz" parameters.
| name |
string, optional, default value: "" Name for the new check. |
|---|---|
| tags |
string, optional, default value: "" A space-delimited list of tags for the new check. Example: {"tags": "reports staging"} |
| timeout |
number, optional, default value: {{ default_timeout }}. A number of seconds, the expected period of this check. Minimum: 60 (one minute), maximum: 2592000 (30 days). Example for 5 minute timeout: {"kind": "simple", "timeout": 300} |
| grace |
number, optional, default value: {{ default_grace }}. A number of seconds, the grace period for this check. Minimum: 60 (one minute), maximum: 2592000 (30 days). |
| schedule |
string, optional, default value: "* * * * *". A cron expression defining this check's schedule. If you specify both "timeout" and "schedule" parameters, "timeout" will be ignored and "schedule" will be used. Example for a check running every half-hour: {"schedule": "0,30 * * * *"} |
| tz |
string, optional, default value: "UTC". Server's timezone. This setting only has effect in combination with the "schedule" paremeter. Example: {"tz": "Europe/Riga"} |
| channels |
string, optional By default, if a check is created through API, no notification channels (integrations) are assigned to it. So, when the check goes up or down, no notifications will get sent. Set this field to a special value "*" to automatically assign all existing integrations. To assign specific integrations, use a comma-separated list of integration identifiers. Use the Get a List of Existing Integrations call to look up integration identifiers. |
| unique |
array of string values, optional, default value: []. Before creating a check, look for existing checks, filtered
by fields listed in The accepted values are: Example: {"name": "Backups", unique: ["name"]} In this example, if a check named "Backups" exists, it will be returned. Otherwise, a new check will be created and returned. |
| 201 Created | Returned if the check was successfully created. |
|---|---|
| 200 OK | Returned if the unique parameter was used and an
existing check was matched. |
| 403 Forbidden | Returned if the account's check limit has been reached. For free accounts, the limit is 20 checks per account. |
Or, alternatively:
{% include "front/snippets/create_check_request_b.html" %}Updates an existing check. All request parameters are optional. The check is updated only with the supplied request parameters. If any parameter is omitted, its value is left unchanged.
| name |
string, optional. Name for the check. |
|---|---|
| tags |
string, optional. A space-delimited list of tags for the check. Example: {"tags": "reports staging"} |
| timeout |
number, optional. A number of seconds, the expected period of this check. Minimum: 60 (one minute), maximum: 2592000 (30 days). Example for 5 minute timeout: {"kind": "simple", "timeout": 300} |
| grace |
number, optional. A number of seconds, the grace period for this check. Minimum: 60 (one minute), maximum: 2592000 (30 days). |
| schedule |
string, optional. A cron expression defining this check's schedule. If you specify both "timeout" and "schedule" parameters, "timeout" will be ignored and "schedule" will be used. Example for a check running every half-hour: {"schedule": "0,30 * * * *"} |
| tz |
string, optional. Server's timezone. This setting only has effect in combination with the "schedule" paremeter. Example: {"tz": "Europe/Riga"} |
| channels |
string, optional. Set this field to a special value "*" to automatically assign all existing notification channels. Set this field to a special value "" (empty string) to automatically unassign all notification channels. Set this field to a comma-separated list of channel identifiers to assign specific notification channels. Example: {"channels": "4ec5a071-2d08-4baa-898a-eb4eb3cd6941,746a083e-f542-4554-be1a-707ce16d3acc"} |
| 200 OK | Returned if the check was successfully updated. |
|---|
Or, alternatively:
{% include "front/snippets/update_check_request_b.html" %}Disables monitoring for a check, without removing it. The check goes into a "paused" state. You can resume monitoring of the check by pinging it.
This API call has no request parameters.
Note: the --data ""
argument forces curl to send a
Content-Length
request header even though the request body
is empty. For HTTP POST requests, the Content-Length
header
is sometimes required by some network proxies and web servers.
Permanently deletes the check from user's account. Returns JSON representation of the check that was just deleted.
This API call has no request parameters.
Returns a list of integrations belonging to the user.


It stands for Application Binary Interface. An ABI is always linked to an application, and it essentially describes what that application does. It acts as a map of the application so that other programs can refer to the map rather than searching through the application itself.
Imagine it's your birthday and your friend wants to send you a birthday card. They need to know what your house address is before they can send you the card. Addresses work the same way in Aion. If your friend wants to send you some AION, they need to know your address. Each address is unique and is 66 characters long. Every single Aion address starts with 0xa. They look like this:
0xa08091ab0325e384ac45e560d2f85e4b741363aa98881d52d54233a02b33fcaa
On top of being required for sending and receiving money, addresses are used to store programs. Say I had an application that multiplied two numbers together and gave you the result back. You would need to send two numbers to my application's address.
The Aion Foundation (sometimes just called The Foundation) is the company that makes everything to do with the Aion blockchain. It is a non-profit, meaning that its goal is not to make lots of money for its shareholders. Aion's goal is to improve the Aion ecosystem.
The foundation creates and maintains everything on the Aion Networks Github account, and manages the releases of all the Aion projects.
A market that is performing poorly, and is losing value. People who believe that a market is performing poorly are referred to as bears. This is the opposite of a Bull Market..
A market that is performing well, and is gaining value. People who believe that a market is performing well are referred to as bulls. This is the opposite of a bear market. This might have something to do with that big bronze bull on Wall Street, but we're not sure.
Computers aren't very good at understanding human language. When they get given a bunch of code, they have to translate it into simple instructions before they can do anything with it. Once they have a step by step guide on what to do, then they can actually run the code.
 It's not designed to be easy for a human to read (it actually looks super confusing), but that's not the point. It's designed to be as efficient as possible for the computer to understand.
When a program gets compiled with Aion, it gets translated into byte code. This code is then run by other computers on the network. Again, this code isn't designed to be understood easily by humans. It's designed to be super easy for computers to understand.
A wallet has three parts: an address, a private key, and a public key. The owner of a wallet can receive money going to the wallet address. The owner can also send money out of the wallet, using the wallet's private key. The wallet's public key is used by other people on the network to confirm that you sent a transaction.
For custodial wallets, your private key is held by a third party. This might be an online service or just someone you know. The benefit of this is that you don't need to remember the private key, and can perform transactions from anywhere in the world by having the third party perform the transaction for you. The downside to this is that the third party can steal all your funds, or authorize a transaction without you knowing.
Non-custodial wallets are the opposite. You hold the private key. This is good because now only you can authorize transactions from your wallet. The downside is that if you don't know your private key, or you misplace it, then you will lose access to all the funds inside your wallet.
Take Paypal as a real-world example. When you first sign up to use Paypal, you give them your credit card details, and they super-duper promise not to use it without your authorization. This comes with the risk that if anyone ever breaks into Paypal and steals your credit card number, then you'll be in a bit of trouble. The alternative is to just enter your credit card number every time you want to buy something one. It's a little bit annoying, but at least your information is safe (as long as the website you've entered your number on doesn't decide to steal it).
A decentralized application. Regular applications like Netflix and Wikipedia generally has two points of contact, your computer, and their servers.
This is what happens when you want to view an article on Wikipedia:
This is how the majority of the internet works. There are some differences between server technologies and new browser processes, but this is basically what everything boils down to. You request something from a server, and the server sends it back to you.
There are some problems with this method, mainly about making sure the data you receive is correct. For example, if someone wanted you to see an edited version of an article, all they have to do is change it on the Wikipedia server. There is no way to guarantee that what you are reading is the correct, unaltered article. Some of you may point out that there is a section at the bottom of each Wikipedia article that states when it was last edited, which is correct. But how do you know that the last edited section hasn't also be altered by a hacker covering their tracks?
In a decentralized application, the user asks a large network of computers for the article, and they collectively respond with all the data. This way the user can be 100% sure that the article they are getting back is completely correct since every single computer on the network has to send the exact same article. If one of the computers tries to change the article, all the other computers will disagree with the change, and it will be obvious that something isn't quite right.
A business or organization whose decisions are either made by a computer using pre-programmed rules, or by all the members voting on what to do. This is different to a standard organization, where the power to make decisions is held by one Cheif Executive Officer (CEO), or a board of Directors.
Organizations that use a set of pre-programmed rules can react to changes and issues much faster (sometimes instantly) than standard organizations.
It's pronounced d-aw-w, apparently. Also, this is not to be confused with The DAO.
People on a blockchain can send each other money. This is known as a transaction. In most transactions, the only thing that's moving around is money or cryptocurrency. But sometimes people will add some extra data to the transaction. This can be something like a reference for the payment, or a thank you note, or just a bunch of random letters and numbers. The purpose of the extra data field is not fixed, and users can do whatever they want with it.
The special thing about this field is that it's permanent. Once a transaction has happened on a blockchain network, it is public information, and anyone can view the transaction forever. This can be useful for recording events.
For example: say Alice lent Bob some money to buy a drink. Alice and Bob could make an agreement stating that Bob needs to pay Alice $5 in one week. When that time arrives, Bob can create a transaction and sent it over to Alice. To make things clearer, Bob can put "Repayment for the drink last week" in the extra data field. That way, anyone who looks at this transaction in the future can see what it was for.
It's a fancy way of saying physical money that is worthless on its own. For instance, paper money is completely useless without the backing of a government or bank to give it value. Check out our article on What is Fiat Money?
Having two things that are exactly the same in value. A single $10 bill has exactly the same value as two $5 bills. It's the same with most cryptocurrencies. My Bitcoin 1BTC
has the exact same value as your Bitcoin 1BTC
. Another word for this is interchangeable.
The opposite of this is non-fungible, which means the opposite. This is when two things don't have the same value. My bottle of wine is worth $30, but yours is older and from a more prestigious vineyard, so it's worth $100.
This is the very first block on a blockchain. When a builder is building a wall, they must place the first brick and secure it in place before moving onto the next brick. When the builder has finished building the wall, every single brick on the wall can be traced back to the original brick.
In a similar way, every single block on the Aion blockchain can be traced back to the genesis block. Knowing where the genesis block is, or what was on it, isn't really important for day to day Dapp development. But it is useful to figure out how old a particular block is. If you know when the genesis block was made, and how far away the current block is from the genesis block, you can figure out how old the current block is.
A node is a computer that is connected to a network. In our case, each node is running the Aion kernel. Each node talks to other nodes on the network to do things like run applications, or confirm transactions.
A nonce is a Number that is only used once. In cryptocurrency, it's used by miners to guess the solution to a math problem. Sounds a bit odd, but let us explain.
For miners to get a reward, they have to solve an incredibly difficult mathematic problem. This problem has a single answer. The problem is so difficult that it would take an incredibly long time for a single computer to find the solution, but a few hundred computers can usually find the answer pretty quickly.
Imagine that the miners had to figure out which number, when multiplied by 9, makes 36.
A miner could start guessing which number is the correct answer. They'd start at 1, but
figure out that 1 x 9 = 9
. So then they'd give 2 a go, but find out that
2 x 9 = 18
. So they'd try 3, but find 3 x 9 = 27
. Finally
they'd try 4 x 9
and get the answer 36. This is the answer that the miners
were looking for, so that makes 36 the nonce.
Having two things that are not exactly the same in value. Say we both have a bottle of wine each. Yours is from a prestigious vineyard in France, and mine is from the bargain bin at my local liquor store. Even though they are both bottles of wine, they do not have the same value. Yours might be worth $100 while mine could be worth only $30.
This is the opposite of fungible, where two things have exactly the same value. A single $10 bill holds the exact same value as two $5 bills.
Most crypto-currencies are fungible. My Bitcoin 1BTC
has the same value as your Bitcoin 1BTC
. However crypto-based games like Cryptokitties are based on the idea of non-fungiability. Not all cats on the Cryptokitties marketplace are created equal.
When you go to the post office to deliver a parcel, you need to pay the post office clerk money to deliver the parcel. How much money depends on how big the parcel is, where it is going, and how fast you want it to get there.
NRG and blockchain networks work in a similar way, except instead of a parcel, there is a transaction. And instead of a post office clerk, there is a blockchain miner. You ask the miner to put your transaction on the blockchain. They look at it, figure out how much work it will take them to do that, and then ask you for a fee. Once you pay the fee, they take your transaction and put it on the blockchain.
In this case, the fee is NRG, which is a fancy way of saying very small amount of
Aion
coin.
Just like every human has a biological parent, every single block in a blockchain has a parent. Block #5 was preceded by block #4, and block #3 came before that, and so on. This goes all the way back to block #1, also called the genesis block. That bit's pretty simple. The parent of a block is the block that came before it.
The hash part is something different. When a block is put together, a complicated math equation is ran against it, which gives us a bunch of numbers and letters. These numbers and letters (called a hash) look random, but they can actually be used to find out what information the block contains. Every single block has a hash associated with it, and each hash is exactly the same length (they all have the same amount of letters and numbers). Also, each block has a completely unique hash. No two blocks will ever have the same hash.
Solidity is a programming language that can be converted into byte code and ran on an Aion node. It was originally created by the Ethereum foundation to run on Ethereum nodes. It looks very similar to JavaScript but contains more features that help it run on a blockchain network.


|
ht's Scheme Interpreter
1.0
a simplified scheme interpreter implementation
|
#include <bigint.hpp>
Public Member Functions | |
| BigInt (long long num) | |
| BigInt (const std::string &s) | |
| BigInt () | |
| BigInt & | assign (long long num) |
| BigInt & | assign (const std::string &s) |
| BigInt & | operator+= (const BigInt &b) |
| BigInt & | operator-= (const BigInt &b) |
| BigInt & | operator*= (const BigInt &b) |
| BigInt & | operator/= (const BigInt &b) |
| BigInt & | operator%= (const BigInt &b) |
| BigInt | operator+ (const BigInt &b) const |
| BigInt | operator- (const BigInt &b) const |
| BigInt | operator* (const BigInt &b) const |
| BigInt | operator/ (const BigInt &b) const |
| BigInt | operator% (const BigInt &b) const |
| BigInt | operator- () const |
| bool | operator> (const BigInt &b) const |
| bool | operator< (const BigInt &b) const |
| bool | operator== (const BigInt &b) const |
| bool | operator!= (const BigInt &b) const |
| bool | operator>= (const BigInt &b) const |
| bool | operator<= (const BigInt &b) const |
| operator double () | |
Private Member Functions | |
| bool | isZero () const |
| BigInt & | rawPlus (const BigInt &b) |
| BigInt & | rawMinus (const BigInt &b) |
| std::pair< BigInt &, BigInt > | divandmod (const BigInt &b) |
| bool | rawSmaller (const BigInt &b) const |
| bool | rawGreater (const BigInt &b) const |
| BigInt & | setSign (const bool sign) |
Private Attributes | |
| std::vector< int32_t > | d |
| size_t | len |
| bool | nonNeg |
Friends | |
| class | RationalType |
| std::istream & | operator>> (std::istream &i, BigInt &b) |
| std::ostream & | operator<< (std::ostream &o, const BigInt &b) |
| template<typename CompareFunc > | |
| bool | rawCompare (const BigInt &a, const BigInt &b) |
| BigInt | gcd (BigInt a, BigInt b) |
Definition at line 11 of file bigint.hpp.
| BigInt::BigInt | ( | long long | num | ) |
Definition at line 20 of file bigint.cpp.
| BigInt::BigInt | ( | const std::string & | s | ) |
Definition at line 25 of file bigint.cpp.
| BigInt::BigInt | ( | ) |
Definition at line 30 of file bigint.cpp.
| BigInt & BigInt::assign | ( | long long | num | ) |
Definition at line 35 of file bigint.cpp.
| BigInt & BigInt::assign | ( | const std::string & | s | ) |
Definition at line 56 of file bigint.cpp.
Definition at line 315 of file bigint.cpp.
|
private |
Definition at line 15 of file bigint.cpp.
|
explicit |
Definition at line 388 of file bigint.cpp.
| bool BigInt::operator!= | ( | const BigInt & | b | ) | const |
Definition at line 146 of file bigint.cpp.
Definition at line 370 of file bigint.cpp.
Definition at line 364 of file bigint.cpp.
Definition at line 278 of file bigint.cpp.
Definition at line 303 of file bigint.cpp.
Definition at line 264 of file bigint.cpp.
Definition at line 202 of file bigint.cpp.
Definition at line 271 of file bigint.cpp.
| BigInt BigInt::operator- | ( | ) | const |
Definition at line 95 of file bigint.cpp.
Definition at line 235 of file bigint.cpp.
Definition at line 358 of file bigint.cpp.
Definition at line 353 of file bigint.cpp.
| bool BigInt::operator< | ( | const BigInt & | b | ) | const |
Definition at line 124 of file bigint.cpp.
| bool BigInt::operator<= | ( | const BigInt & | b | ) | const |
Definition at line 156 of file bigint.cpp.
| bool BigInt::operator== | ( | const BigInt & | b | ) | const |
Definition at line 138 of file bigint.cpp.
| bool BigInt::operator> | ( | const BigInt & | b | ) | const |
Definition at line 133 of file bigint.cpp.
| bool BigInt::operator>= | ( | const BigInt & | b | ) | const |
Definition at line 151 of file bigint.cpp.
|
private |
Definition at line 119 of file bigint.cpp.
Definition at line 182 of file bigint.cpp.
Definition at line 161 of file bigint.cpp.
|
private |
Definition at line 114 of file bigint.cpp.
|
private |
Definition at line 309 of file bigint.cpp.
Definition at line 376 of file bigint.cpp.
|
friend |
Definition at line 248 of file bigint.cpp.
|
friend |
Definition at line 240 of file bigint.cpp.
|
friend |
Definition at line 52 of file bigint.hpp.
Definition at line 104 of file bigint.cpp.
|
private |
Definition at line 14 of file bigint.hpp.
|
private |
Definition at line 15 of file bigint.hpp.
|
private |
Definition at line 16 of file bigint.hpp.


PART IV. MANAGEMENT OF STOCK FINANCIAL INSTITUTIONS
§412:3-400 Applicability of part. This part shall govern the management of all Hawaii financial institutions that are stock financial institutions. [L 1993, c 350, pt of §1]


FAQ
4
Frequently Asked
Questions
What is pluto wallet?
pluto wallet is for mobile devices.
Is pluto wallet Bootstrap 5 based?
Yes. pluto wallet using Bootstrap 5 css framework.
How can i customize this Wallet?
pluto wallet based on HTML, CSS and Vanilla Javascript. That's all. You don't need others. Use your web skills you already known.
Is this pluto wallet a PWA?
Yes, pluto wallet is a PWA (Progressive Web App) ready. You can add it your mobile device's homescreen and use it like an app.
How can i contact you?
You can contact us on
pluto wallet support tab
.
How can i buy this?
You can buy it on
Themeforest
.
Still have question?
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Reveiw of mentee Liky Chishugi
Copyright © 2019


Network Hosts are responsible for allocating ips and setting up network.
There are multiple backend drivers that handle specific types of networking topologies. All of the network commands are issued to a subclass of NetworkManager.
Related Flags
| network_driver: | Driver to use for network creation |
|---|---|
| flat_network_bridge: | |
| Bridge device for simple network instances | |
| flat_interface: | FlatDhcp will bridge into this interface if set |
| flat_network_dns: | |
| Dns for simple network | |
| vlan_start: | First VLAN for private networks |
| vpn_ip: | Public IP for the cloudpipe VPN servers |
| vpn_start: | First Vpn port for private networks |
| cnt_vpn_clients: | |
| Number of addresses reserved for vpn clients | |
| network_size: | Number of addresses in each private subnet |
| floating_range: | Floating IP address block |
| fixed_range: | Fixed IP address block |
| fixed_ip_disassociate_timeout: | |
| Seconds after which a deallocated ip is disassociated | |
| create_unique_mac_address_attempts: | |
| Number of times to attempt creating a unique mac address |
Bases: nova.network.manager.RPCAllocateFixedIP, nova.network.manager.FloatingIP, nova.network.manager.NetworkManager
Flat networking with dhcp.
FlatDHCPManager will start up one dhcp server to give out addresses. It never injects network settings into the guest. It also manages bridges. Otherwise it behaves like FlatManager.
Do any initialization that needs to be run if this is a standalone service.
Bases: nova.network.manager.NetworkManager
Basic network where no vlans are used.
FlatManager does not do any bridge or vlan creation. The user is responsible for setting up whatever bridges are specified when creating networks through nova-manage. This bridge needs to be created on all compute hosts.
The idea is to create a single network for the host with a command like: nova-manage network create <IP_ADDRESS>/24 1 256. Creating multiple networks for for one manager is currently not supported, but could be added by modifying allocate_fixed_ip and get_network to get the a network with new logic instead of network_get_by_bridge. Arbitrary lists of addresses in a single network can be accomplished with manual db editing.
If flat_injected is True, the compute host will attempt to inject network config into the guest. It attempts to modify /etc/network/interfaces and currently only works on debian based systems. To support a wider range of OSes, some other method may need to be devised to let the guest know which ip it should be using so that it can configure itself. Perhaps an attached disk or serial device with configuration info.
Metadata forwarding must be handled by the gateway, and since nova does not do any setup in this mode, it must be done manually. Requests to <IP_ADDRESS> port 80 will need to be forwarded to the api server.
Returns a fixed ip to the pool.
Returns a floating IP as a dict
Returns a floating IP as a dict
Returns the floating IPs associated with a fixed_address
Returns the floating IPs allocated to a project
Returns list of floating pools
Bases: object
Mixin class for adding floating IP functionality to a manager.
Gets a floating ip from the pool.
Handles allocating the floating IP resources for an instance.
calls super class allocate_for_instance() as well
rpc.called by network_api
Associates a floating ip with a fixed ip.
Makes sure everything makes sense then calls _associate_floating_ip, rpc’ing to correct host if i’m not it.
Returns an floating ip to the pool.
Handles deallocating floating IP resources for an instance.
calls super class deallocate_for_instance() as well.
rpc.called by network_api
Disassociates a floating ip from its fixed ip.
Makes sure everything makes sense then calls _disassociate_floating_ip, rpc’ing to correct host if i’m not it.
Returns a floating IP as a dict
Returns a floating IP as a dict
Returns the floating IPs associated with a fixed_address
Returns the floating IPs allocated to a project
Returns list of floating pools
Configures floating ips owned by host.
Bases: nova.manager.SchedulerDependentManager
Implements common network manager functionality.
This class must be subclassed to support specific topologies.
Adds a fixed ip to an instance from specified network.
Gets a fixed ip from the pool.
Handles allocating the various network resources for an instance.
rpc.called by network_api
Builds a NetworkInfo object containing all network information for an instance
Returns a fixed ip to the pool.
Handles deallocating various network resources for an instance.
rpc.called by network_api kwargs can contain fixed_ips to circumvent another db lookup
Broker the request to the driver to fetch the dhcp leases
Return a fixed ip
Returns the instance id a floating ip’s fixed ip is allocated to
Creates network info list for instance.
called by allocate_for_instance and network_api context needs to be elevated :returns: network info list [(network,info),(network,info)...] where network = dict containing pertinent data from a network db object and info = dict containing pertinent networking data
Returns the vifs record for the mac_address
Returns the vifs associated with an instance
Do any initialization that needs to be run if this is a standalone service.
Called by dhcp-bridge when ip is leased.
Called by dhcp-bridge when ip is released.
Removes a fixed ip from an instance from specified network.
Safely sets the host of the network.
calls setup/teardown on network hosts associated with an instance
check if the networks exists and host is set to each network.
Bases: object
Mixin class originally for FlatDCHP and VLAN network managers.
used since they share code to RPC.call allocate_fixed_ip on the correct network host to configure dnsmasq
Call the superclass deallocate_fixed_ip if i’m the correct host otherwise call to the correct host
Bases: nova.network.manager.RPCAllocateFixedIP, nova.network.manager.FloatingIP, nova.network.manager.NetworkManager
Vlan network with dhcp.
VlanManager is the most complicated. It will create a host-managed vlan for each project. Each project gets its own subnet. The networks and associated subnets are created with nova-manage using a command like: nova-manage network create <IP_ADDRESS>/8 3 16. This will create 3 networks of 16 addresses from the beginning of the <IP_ADDRESS> range.
A dhcp server is run for each subnet, so each project will have its own. For this mode to be useful, each project will need a vpn to access the instances in its subnet.
Force adds another network to a project.
Gets a fixed ip from the pool.
Create networks based on parameters.
Do any initialization that needs to be run if this is a standalone service.
Check policy corresponding to the wrapped methods prior to execution


HTML and CSS are two different types of code that work together to produce a result, however in saying that they are quite different in their functions.
Let's imagine an artists canvas: They have their large blank canvas on which they can create the outline of the scene they wish to paint. That canvas and the outline are the HTML - they provide the structure and content of the picture, however on their own that is all they are.
The CSS is the artists paint palette - this is how they bring the picture to life with colour and shading and turn the picture from a bare bones concept to its fullest expression.
Control flow is the order in which code will be run in a programme or application. So the order the code is laid out in is very important as this is the order the application will follow - in terms of surfing you would first wax your board, put on your wetsuit, paddle out and then catch a wave - that is the order you would follow to achieve your surf session.
Looping is when a function runs multiple times until it ends or is told to end. To stick with our surfing analogy a loop in this instance would be catch wave, paddle back to line up, catch wave, paddle back and so on until you finish your session.
The DOM acts as an interface for HTML documents and allows other programming languages to connect to it and carry out functions.
It breaks a page into different Nodes and these nodes allow programming languages (such as JavaScript) to connect to the page and affect the content of the page and how user interactions with the page are interpreted.
You can interact with the DOM via the developer tools panel and here you can test how changes to a styling sheet will affect the page.
First off it is important to understand the difference between Objects and arrays:
Objects allow you to store a number of different types of data under one umbrella such as this:
In this instance the object is the Artist and it contains a number of elements such as the artist name, album name and year released. To access the information in the Object you would use what is known as dot-notation to call on the parts of the object you wish to see.
Arrays hold a number of similar items such as a list of different surf boards as shown below:
Javascript stores this information in a zero based index - meaning that the items are in order from 0 upwards. So when a call such as the one below is made it will return ‘short board’ as the answer as ‘1’ is the second item in the list if we are counting from 0 upwards.
Functions in JavaScript allow you to run a defined piece of code numerous times. This is extremely useful if you are looking to repeat certain actions a number of times - for example if you wanted to run a temperature converter:
The bloc of code above could be run as many times as you wanted to call it without needed to repeat the calculation again and again in your process.


Turbo Charged Brain... or Not...
I came across an article about smart drugs a few weeks ago and thought this sounded like a good adventure, I love trying new things out, and with my job (network admin) I thought I could use it to get some reading and training done that I hadn't had the time or focus for.
I used recommended doses from doctors, 100mg a day, today is day 5 and I doubt I'll be taking any more any time soon.
Some things to note about how my body reacts to thing:
Caffeine has a weird effect on me, if I drink too much, say a large cup of coffee I'll get warm jittery and feel generally a bit frazzled and unfocused I find it does not make me more 'awake' though as I'm still sleepy and yawn a lot.
Marijuana I smoke on a daily basis in the evenings, generally it gets me mellow followed by hungry and then sleepy, I've read there is no interaction between the two but just something to keep in mind.
All the effects I have noticed from the Modafinil were generally the same from day to day, the only difference was that I could feel each repeated use get a little stronger then the last time. At first it was mainly wakefulness and more alert then I normally am. I felt less tired bu by the 3rd day I felt almost antsy and a bit agitated. If I drank caffeine it amplified the antsy feelings a bit.
I did not find it helped me focus or concentrate better.
I dod not find it helped me to remember more
I did not find it made me more social or outgoing.
I noticed what I would say is a very slight mood elevation not euphoric but just a little less grumpy for lack of a better word.
I did find was that it regulated my sleep a bunch. At the end of the day at bed time (10 for me as I work at 6:30AM) I was ready for bed, I slept more soundly and I found that I woke up at a more regular time often 5-20 minutes before my alarm would normally go off.
I definitely noticed a decrease in my appetite, I only biked to work once this week (I usually bike 3 times for a total of 120Km) but my appetite is way down from about an hour after I take my dose until well into the evening. I even found when I smoked up in the evening I was less hungry or not hungry at all.
Other then that there isn't many notable improvements to make this worth continuing for me.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


The doctype declaration is an instruction to the web browser about what version of HTML the page is written in. Private external DTDs are identified by the keyword SYSTEM, and are intended for use by a single author or group of authors.


EXO's Chen zips up in bonus 'Obsession' teaser image
by germainejEXO's Chen is zipping up in his bonus teaser image for 'Obsession'!
The above bonus teaser image comes after Chen faced his double in teaser images and clips. As previously reported, the EXO members are facing their doppelgangers "X-EXO" for their comeback.
Stay tuned for more EXO teasers!


Getting started¶
This tutorial will walk you through the process of installing python-documentcloud and making your first requests.
Installation¶
Provided that you have pip installed, you can install the library like so:
$ pip install python-documentcloud
Creating a client¶
Before you can interact with DocumentCloud, you first must import the library and initialize a client to talk with the site on your behalf.
>>> from documentcloud import DocumentCloud
>>> client = DocumentCloud()
Since we didn’t provide any log-in credentials, the client above will only be able to access published documents. If have an account at DocumentCloud and want to use that, you can provide the crendentials to the client.
>>> client = DocumentCloud(USERNAME, PASSWORD)
Searching for documents¶
You can now you use client to interact with DocumentCloud. A search for documents about journalist Ruben Salazar would look like this:
>>> obj_list = client.documents.search("Ruben Salazar")
>>> # Let's grab the first one and look at it
>>> obj = obj_list[0]
>>> obj
<Document: Final OIR Report>
Interacting with a document¶
Once you have you hands on a document object, you can interact with the metadata stored at documentcloud.org. Here’s a sample:
>>> print obj.title
Final OIR Report
>>> print obj.id
71072-oir-final-report
>>> print obj.contributor_organization
Los Angeles Times
>>> print obj.canonical_url
http://www.documentcloud.org/documents/71072-oir-final-report.html
You can even download the PDF, page images and full text.
>>> obj.large_image_url
...
>>> obj.large_image
...
>>> obj.full_text
...
>>> obj.pdf
...
Uploading a document¶
You can upload a PDF document from your local machine to documentcloud.org. Here’s how:
>>> from documentcloud import DocumentCloud
>>> client = DocumentCloud(DOCUMENTCLOUD_USERNAME, DOCUMENTCLOUD_PASSWORD)
>>> obj = client.documents.upload("/home/ben/pdfs/myfile.pdf")
And you don’t have to provide a path, you can also upload a file object.
>>> from documentcloud import DocumentCloud
>>> client = DocumentCloud(DOCUMENTCLOUD_USERNAME, DOCUMENTCLOUD_PASSWORD)
>>> pdf = open("/home/ben/pdfs/myfile.pdf", "rb")
>>> obj = client.documents.upload(pdf)
You can also URLs link to PDFs, if that’s the kind of thing you want to do.
>>> client.documents.upload("http://ord.legistar.com/Chicago/attachments/e3a0cbcb-044d-4ec3-9848-23c5692b1943.pdf")
Uploading a directory of documents as a project¶
Here’s how to upload a directory full of documents and add them all to a new project. Be warned, this will upload any documents in directories inside the path you specify.
>>> # Connect to documentcloud
>>> from documentcloud import DocumentCloud
>>> client = DocumentCloud(DOCUMENTCLOUD_USERNAME, DOCUMENTCLOUD_PASSWORD)
>>> # Create the project
>>> project, created = client.projects.get_or_create_by_title("Groucho Marx's FBI file")
>>> # Upload all the pdfs
>>> obj_list = client.documents.upload_directory('/home/ben/pdfs/groucho_marx/')
>>> # Add the newly created documents to the project
>>> project.document_list = obj_list
>>> # Save the changes to the project
>>> project.put()
Securely uploading a document¶
How to upload a document, but prevent it from being sent to DocumentCloud’s third-party services like OpenCalais.
>>> from documentcloud import DocumentCloud
>>> client = DocumentCloud(DOCUMENTCLOUD_USERNAME, DOCUMENTCLOUD_PASSWORD)
>>> obj = client.documents.upload("/home/ben/pdfs/myfile.pdf", secure=True)
Uploading a PDF from a URL¶
How to read a PDF document from a URL on the World Wide Web and upload it to DocumentCloud without saving it to your local hard drive.
>>> from documentcloud import DocumentCloud
>>> import urllib, cStringIO
>>> # Download the URL with urllib
>>> url = "http://myhost.org/interesting-doc.pdf"
>>> data = urllib.urlopen(url).read()
>>> # Stuff it in a file object with cStringIO
>>> file_obj = cStringIO.StringIO(data)
>>> # Upload that to DocumentCloud
>>> client = DocumentCloud(DOCUMENTCLOUD_USERNAME, DOCUMENTCLOUD_PASSWORD)
>>> obj = client.documents.upload(file_obj)


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This document is also available in these non-normative formats: XML.
Copyright © 2006 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply.
This document contains requirements for the development of an XML Processing Model and Language, which are intended to describe and specify the processing relationships between XML resources.
This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.
This First Public Working Draft has been produced by the W3C XML Processing Model Working Group as part of the XML Activity, following the procedures set out for the W3C Process. The goals of the XML Processing Model Working Group are discussed in its charter.
Comments on this document should be sent to the W3C mailing list<EMAIL_ADDRESS>(archive).
Publication as a Working Draft does not imply endorsement by the W3C Membership. This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress.
This document was produced by a group operating under the 5 February 2004 W3C Patent Policy. The group does not expect this document to become a W3C Recommendation. This document is informative only. W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy.
1 Introduction
2 Terminology
3 Design Principles
4 Requirements
4.1 Standard Names for Component Inventory
4.2 Allow Defining New Components and Steps
4.3 Minimal Component Support for Interoperability
4.4 Allow Pipeline Composition
4.5 Iteration of Documents and Elements
4.6 Conditional Processing of Inputs
4.7 Error Handling and Fall-back
4.8 Support for the XPath 2.0 Data Model
4.9 Allow Optimization
4.10 Streaming XML Pipelines
5 Use cases
5.1 Apply a Sequence of Operations
5.2 XInclude Processing
5.3 Parse/Validate/Transform
5.4 Document Aggregation
5.5 Single-file Command-line Document Processing
5.6 Multiple-file Command-line Document Generation
5.7 Extracting MathML
5.8 Style an XML Document in a Browser
5.9 Run a Custom Program
5.10 XInclude and Sign
5.11 Make Absolute URLs
5.12 A Simple Transformation Service
5.13 Service Request/Response Handling on a Handheld
5.14 Interact with Web Service (Tide Information)
5.15 Parse and/or Serialize RSS descriptions
5.16 XQuery and XSLT 2.0 Collections
5.17 An AJAX Server
5.18 Dynamic XQuery
5.19 Read/Write Non-XML File
5.20 Update/Insert Document in Database
5.21 Content-Dependent Transformations
5.22 Configuration-Dependent Transformations
5.23 Response to XML-RPC Request
5.24 Database Import/Ingestion
5.25 Metadata Retrieval
5.26 Non-XML Document Production
5.27 Integrate Computation Components (MathML)
5.28 Document Schema Definition Languages (DSDL) - Part 10: Validation Management
5.29 Large-Document Subtree Iteration
5.30 Adding Navigation to an Arbitrarily Large Document
5.31 Fallback to Choice of XSLT Processor
5.32 No Fallback for XQuery Causes Error
A large and growing set of specifications describe processes operating on XML documents. Many applications will depend on the use of more than one of these specifications. Considering how implementations of these specifications might interact raises many issues related to interoperability. This specification contains requirements on an XML Pipeline Language for the description of XML process interactions in order to address these issues. This specification is concerned with the conceptual model of XML process interactions, the language for the description of these interactions, and the inputs and outputs of the overall process. This specification is not generally concerned with the implementations of actual XML processes participating in these interactions.
An XML Information Set or "Infoset" is the name we give to any implementation of a data model for XML which supports the vocabulary as defined by the XML Information Set recommendation [xml-infoset-rec].
An XML Pipeline is a conceptualization of a flow of a configuration of steps and their parameters. The XML Pipeline defines a process in terms of order, dependencies, or iteration of steps over XML information sets.
A pipeline specification document is an XML document that described an XML pipeline.
A step is a specification of how a component is used in a pipeline that includes inputs, outputs, and parameters.
A component is an particular XML technology (e.g. XInclude, XML Schema Validity Assessment, XSLT, XQuery, etc.).
An XML infoset that is an input to a XML Pipeline or Step.
The result of processing by an XML Pipeline or Step.
A parameter is input to a Step or an XML Pipeline in addition to the Input and Output Document(s) that it may access. Parameters are most often simple, scalar values such as integers, booleans, and URIs, and they are most often named, but neither of these conditions is mandatory. That is, we do not (at this time) constrain the range of values a parameter may hold, nor do we (at this time) forbid a Step from accepting anonymous parameters.
The technology or platform environment in which the XML Pipeline is used (e.g. command-line, web servers, editors, browsers, embedded applications, etc.).
The ability to parse an XML document and pass infoitems between components without building a full document information set.
The design principles described in this document are requirements whose compliance with is an overall goal for the specification. It is not necessarily the case that a specific feature meets the requirement. Instead, it should be viewed that the whole set of specifications related to this requirements document meet that overall goal specified in the design principle.
Applications should be free to implement XML processing using appropriate technologies such as SAX, DOM, or other infoset representations.
Application computing platforms should not be limited to any particular class of platforms such as clients, servers, distributed computing infrastructures, etc. In addition, the resulting specifications should not be swayed by the specifics of use in those platform.
The language should be as small and simple as practical. It should be "small" in the sense that simple processing should be able to stated in a compact way and "simple" in the sense the specification of more complex processing steps do not require arduous specification steps in the XML Pipeline Specification Document.
At a minimum, an XML document is represented and manipulated as an XML Information Set. The use of supersets, augmented information sets, or data models that can be represented or conceptualized as information sets should be allowed, and in some instances, encouraged (e.g. for the XPath 2.0 Data Model).
It should be relatively easy to implement a conforming implementation of the language but it should also be possible to build a sophisticated implementation that implements its own optimizations and integrates with other technologies.
An XML Pipeline must be able to be exchanged between different software systems with a minimum expectation of the same result for the pipeline given that the XML Pipeline Environment is the same. A reasonable resolution to platform differences for binding or serialization of resulting infosets should be expected to be address by this specification or by re-use of existing specifications.
The XML Pipeline Specification Document should be able to be validated by both W3C XML Schema and RelaxNG.
XML Pipelines need to support existing XML specifications and reuse common design patterns from within them. In addition, there must be support for the use of future specifications as much as possible.
The specification should allow use any component technology that can consume or produce XML Information Sets.
An XML Pipeline must allow control over specifying both the inputs and outputs of any process within the pipeline. This applies to the inputs and outputs of both the XML Pipeline and its containing steps. It should also allow for the case where there might be multiple inputs and outputs.
An XML Pipeline must allow control the explicit and implicit handling of the flow of documents between steps. When errors occur, these must be able to be handled explicitly to allow alternate courses of action within the XML Pipeline.
The XML Pipeline Specification Document must have standard names for components that correspond, but not limited to, the following specifications [xml-core-wg]:
XML Base
XInclude
XSLT 1.0/2.0
XSL FO
XML Schema
XQuery
RelaxNG
An XML Pipeline must allow applications to define and share new steps that use new or existing components. [xml-core-wg]
There must be a minimal inventory of components defined by the specification that are required to be supported to facilitate interoperability of XML Pipelines.
Mechanisms for XML Pipeline composition for re-use or re-purposing must be provided within the XML Pipeline Specification Document.
XML Pipelines should allow iteration of a specific set of steps over a collection of documents and or elements within a document.
To allow run-time selection of steps, XML Pipelines should provide mechanisms for conditional processing of documents or elements within documents based on expression evaluation. [xml-core-wg]
XML Pipelines must provide mechanisms for addressing error handling and fall-back behaviors. [xml-core-wg]
XML Pipelines must support the XPath 2.0 Data Model to allow support for XPath 2.0, XSLT 2.0, and XQuery as steps.
Note:
At this point, there is no consensus in the working group that minimal conforming implementations are required to support the XPath 2.0 Data Model.
An XML Pipeline should not inhibit a sophisticated implementation from performing parallel operations, lazy or greedy processing, and other optimizations. [xml-core-wg]
An XML Pipeline should allow for the existence of streaming pipelines in certain instances as an optional optimization. [xml-core-wg]
This section contains a set of use cases that support our requirements and will inform our design. While there is a want to address all the use cases listed in this document, in the end, the first version of those specifications may not solve all the following use cases. Those unsolved use cases may be address in future versions of those specifications.
To aid navigation, the requirements can be mapped to the use cases of this section as follows:
Note:
The above table is known to be incomplete and will be completed in a later draft.
Apply a sequence of operations such XInclude, validation, and transformation to a document, aborting if the result or an intermediate stage is not valid.
(source: [xml-core-wg])
Retrieve a document containing XInclude instructions.
Locate documents to be included.
Perform XInclude inclusion.
Return a single XML document.
Parse the XML.
Perform XInclude.
Validate with Relax NG, possibly aborting if not valid.
Validate with W3C XML Schema, possibly aborting if not valid.
Transform.
Locate a collection of documents to aggregate.
Perform aggregation under a new document element.
Return a single XML document.
Read a DocBook document.
Validate the document.
Process it with XSLT.
Validate the resulting XHTML.
Save the HTML file using HTML serialization.
Read a list of source documents.
For each document in the list:
Read the document.
Perform a series of XSLT transformations.
Serialize each result.
Alternatively, aggregate the resulting documents and serialize a single result.
Extract MathML fragments from an XHTML document and render them as images. Employ an SVG renderer for SVG glyphs embedded in the MathML.
(source: [xml-core-wg])
Style an XML document in a browser with one of several different stylesheets without having multiple copies of the document containing different xml-stylesheet directives.
(source: [xml-core-wg])
Run a program of your own, with some parameters, on an XML file and display the result in a browser.
(source: [xml-core-wg])
Process an XML document through XInclude.
Transform the result with XSLT using a fixed transformation.
Digitally sign the result with XML Signatures.
Process an XML document through XInclude.
Remove any xml:base attributes anywhere in the resulting document.
Schema validate the document with a fixed schema.
For all elements or attributes whose type is xs:anyURI, resolve the value against the base URI to create an absolute URI. Replace the value in the document with the resulting absolute URI.
This example assumes preservation of infoset ([base URI]) and PSVI ([type definition]) properties from step to step. Also, there is no way to reorder these steps as the schema doesn't accept xml:base attributes but the expansion requires xs:anyURI typed values.
Extract XML document (XForms instance) from an HTTP request body
Execute XSLT transformation on that document.
Call a persistence service with resulting document
Return the XML document from persistence service (new XForms instance) as the HTTP response body.
Allow an application on a handheld device to construct a pipeline, send the pipeline and some data to the server, allow the server to process the pipeline and send the result back.
(source: [xml-core-wg])
Parse the incoming XML request.
Construct a URL to a REST-style web service at the NOAA (see website).
Parse the resulting invalid HTML document with by translating and fixing the HTML to make it XHTML (e.g. use TagSoup or tidy).
Extract the tide information from a plain-text table of data from document by applying a regular expression and creating markup from the matches.
Use XQuery to select the high and low tides.
Formulate an XML response from that tide information.
Parse descriptions:
Iterate over the RSS description elements and do the following:
Gather the text children of the 'description' element.
Parse the contents with a simulated document element in the XHTML namespace.
Send the resulting children as the children of the 'description element.
Apply rest of pipeline steps.
Serialize descriptions
Iterate over the RSS description elements and do the following:
Serialize the children elements.
Generate a new child as a text children containing the contents (escaped text).
Apply rest of pipeline steps.
In XQuery and XSLT 2.0 there is the idea of an input and output collection and a pipeline must be able to consume or produce collections of documents both as inputs or outputs of steps as well as whole pipelines.
For example, for input collections:
Accept a collection of documents.
Apply a single XSLT 2.0 transformation that processes the collection and produces another collection.
Serialize the collection to files or URIs.
For example, for output collections:
Accept a single document as input.
Apply an XQuery that produces a sequence of documents (a collection).
Serialize the collection to files or URIs.
Receive XML request with word to complete.
Call a sub-pipeline that retrieves list of completions for that word.
Format resulting document with XSLT.
Serialize response to XML.
Dynamically create an XQuery query using XSLT, based on input XML document.
Execute the XQuery against a database.
Construct an XHTML result page using XSLT from the result of the query.
Serialize response to HTML.
Read a CSV file and convert it to XML.
Process the document with XSLT.
Convert the result to a CSV format using text serialization.
Receive an XML document to save.
Check the database to see if the document exists.
If the document exists, update the document.
If the document does not exists, add the document.
Receive an XML document to format.
If the document is XHTML, apply a theme via XSLT and serialize as HTML.
If the document is XSL-FO, apply an XSL FO processor to produce PDF.
Otherwise, serialize the document as XML.
Mobile example:
Receive an XML document to format.
If the configuration is "desktop browser", apply desktop XSLT and serialize as HTML.
If the configuration is "mobile browser", apply mobile XSLT and serialize as XHTML.
News feed example:
Receive an XML document in Atom format.
If the configuration is "RSS 1.0", apply "Atom to RSS 1.0" XSLT.
If the configuration is "RSS 2.0", apply "Atom to RSS 2.0" XSLT.
Serialize the document as XML.
Receive an XML-RPC request.
Validate the XML-RPC request with a RelaxNG schema.
Dispatch to different sub-pipelines depending on the content of /methodCall/methodName.
Format the sub-pipeline response to XML-RPC format via XSLT.
Validate the XML-RPC response with an W3C XML Schema.
Return the XML-RPC response.
Import example:
Read a list of source documents.
For each document in the list:
Validate the document.
Call a sub-pipeline to insert content into a relational or XML database.
Ingestion example:
Receive a directory name.
Produce a list of files in the directory as an XML document.
For each element representing a file:
Create an iTQL query using XSLT.
Query the repository to check if the file has been uploaded.
Upload if necessary.
Inspect the file to check the metadata type.
Transform the document with XSLT.
Make a SOAP call to ingest the document.
Call a SOAP service with metadata format as a parameter.
Create an iTQL query with XSLT.
Query a repository for the XML document.
Load a list of XSLT transformations from a configuration.
Iteratively execute the XSLT transformations.
Serialize the result to XML.
An non-XML document is fed into the process.
That input is converted into a well-formed XML document.
A table of contents is extracted.
Pagination is performed.
Each page is transformed into some output language.
Read a non-XML document.
Transform.
Select a MathML content element.
For that element, apply a computation (e.g. compute the kernel of a matrix).
Replace the input MathML with the output of the computation.
This document provides a test scenario that will be used to create validation management scripts using a range of existing techniques, including those used for program compilation, etc.
The steps required to validate our sample document are:
Use ISO 19757-4 Namespace-based Validation Dispatching Language (NVDL) to split out the parts of the document that are encoded using HTML, SVG and MathML from the bulk of the document, whose tags are defined using a user-defined set of markup tags.
Validate the HTML elements and attributes using the HTML 4.0 DTD (W3C XML DTD).
Use a set of Schematron rules stored in check-metadata.xml to ensure that the metadata of the HTML elements defined using Dublin Core semantics conform to the information in the document about the document's title and subtitle, author, encoding type, etc.
Validate the SVG components of the file using the standard W3C schema provided in the SVG 1.2 specification.
Use the Schematron rules defined in SVG-subset.xml to ensure that the SVG file only uses those features of SVG that are valid for the particular SVG viewer available to the system.
Validate the MathML components using the latest version of the MathML schema (defined in RELAX-NG) to ensure that all maths fragments are valid. The schema will make use the datatype definitions in check-maths.xml to validate the contents of specific elements.
Use MathML-SVG.xslt to transform the MathML segments to displayable SVG and replace each MathML fragment with its SVG equivalent.
Use the ISO 19757-8 Document Schema Renaming Language (DSRL) definitions in convert-mynames.xml to convert the tags in the local nameset to the form that can be used to validate the remaining part of the document using docbook.dtd.
Use the IS0 19757-7 Character Repertoire Definition Language (CRDL) rules defined in mycharacter-checks.xml to validate that the correct character sets have been used for text identified as being Greek and Cyrillic.
Convert the Docbook tags to HTML so that they can be displayed in a web browser using the docbook-html.xslt transformation rules.
Each validation script should allow the four streams produced by step 1 to be run in parallel without requiring the other validations to be carried out if there is an error in another stream. This means that steps 2 and 3 should be carried out in parallel to steps 4 and 5, and/or steps 6 and 7 and/or steps 8 and 9. After completion of step 10 the HTML (both streams), and SVG (both streams) should be recombined to produce a single stream that can fed to a web browser. The flow is illustrated in the following diagram:
Running XSLT on a very large document isn't typically practical. In these cases, it is often the case that a particular element, that may be repeated over-and-over again, needs to be transformed. Conceptually, a pipeline could limit the transformation to a subtree by:
Limiting the transform to a subtree of the document identified by an XPath.
For each subtree, cache the subtree and build a whole document with the identified element as the document element and then run a transform to replace that subtree in the original document.
For any non-matches, the document remains the same and "streams" around the transform.
This allows the transform and the tree building to be limited to a small subtree and the rest of the process to stream. As such, an arbitrarily large document can be processed in a bounded amount of memory.
For a particular website, every XHTML document needs to have navigation elements added to the document. The navigation is static text that surrounds the body of the document. This navigation is added by:
Matching the head and body elements using a XPath expression that can be streamed.
Inserting a stub for a transformation for including the style and surrounding navigation of the site.
For each of the stubs, transformations insert the markup using a subtree expansion that allows the rest of the document to stream.
In the end, the pipeline allows arbitrarily large XHTML document to be processed with a near-constant cost.
(source: Alex Milowski)
A step in a pipeline produces multiple output documents. In XSLT 2.0, this is a standard feature of all XSLT 2.0 processors. In XSLT 1.0, this is not standard.
A pipeline author wants to write a pipeline that, at compile-time, the implementation chooses XSLT 2.0 when possible and degrades to XSLT 1.0 when XSLT 2.0 is not supported. In the case of XSLT 1.0, the step will use XSLT extensions to support the multiple output documents--which again may fail. Fortunately, the XSLT 1.0 transformation can be written to test for this.
(source: Alex Milowski)
As the final step in a pipeline, XQuery is required to be run. If the XQuery step is not available, the compilation of the pipeline needs to fail. Here the pipeline author has chosen that the pipeline must not run if XQuery is not available.
(source: Alex Milowski)


Recently I completed online Machine learning course taught by Andrew Ng on coursera. I am glad that I completed this course with certification. This course has given me great intuition toward Machine Learning. This course not only provided concepts of different learning models but somewhat made me capable of understanding mathematics behind those learning models.
Content of Machine Learning
Contains:
- What is Machine Learning?
- Supervised Learning.
- Unsupervised Learning.
- Learning Model and Cost Functions.
- Linear Regression with one variable
- Implementation of Linear Regression
- Linear Regression with Multiple variables
- Logistic Regession in classification
- Classification and Representations
- Logistic Regession Model
- Multiclass Classification
- Regulazization: Solving the Problem of Overfitting
- Implementation of Logistic Regession.
- Classifications using Neural Network
- Neural Networks and its Representations
- Applications of Neural Networks
- Deep Learning and Its Type
- Implementation of neural-nets
- Advice for Applying Machine Learning by Andrew Ng
- Evaluating a Learning algorithm
- Bias vs.Variance
- Machine Learning System Design
- Support Vector Machine
- Large Margin Classification
- Kernels
- Unsupervisd: Clustering
- Dimensionality Reduction:PCA
- Anomaly Detection and its applications
- Large Scale Machine Learning
- Gradient Descent with Large datasets
- Learning with Large datasets
- Stochastic Gradient Descent
- Mini-Batch Gradient Descent
- Stochastic Gradient Descent
- Gradient Descent with Large datasets
- Advance Topics
- Active Learning
- Online Learning
- Map Reduce and Data Parallelism.


{% extends "cdadsurvey/base.html" %} {% load i18n %} {% block content %}
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Nutricionist studio of Zvezdana Tepavčević was founded in 2010; and it had more than 10.000 clients come through. Their experience with us are our ebst recommendation.
Driven by very own experience, every overweight person knows they should reduce it if possible, and then mantain it. They must find the right motivation and set some goals, change their habits and learn to recognise success. If you achieve all of that, you will behealthier, and even more satisfied.
We proudly highlit that our personalised diets (none of those are the same), direct contact with clients and interactive work in the end always give some great results.
Our services:
1. individual menus for all ages
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(insulin resistance, hypertension, psoriasys, gastritis, anemy, hashimoto, helicoibacteria,
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Healthy nutrition provides you with these benefits:
1. immunite system strenghthening
2. disease prevention
3. higher muscle percentage
4. lower fat percentage
5. appropriate body weight
6. reduced risk of cardiovascular ilness
7. better sleep and eaasier awakening
8. psychical stability
9. physical wellbeing
10. better motorics
11. reduced ankle, wrist and knuckles pain
12. fertility
13. longer life and much more
Nutricionist studio of Zvezdana Tepavčević Vam provides you with education and advice about healthy habits that everyone of us should adopt. The key to healthy and successful life is in you, and we are here to help you reach your goals.


Univar announced today that its wholly-owned subsidiary, Univar USA Inc.has acquired all of the outstanding stock of Weavertown
Beaver County's access to river, rail and highway transportation gives it an advantage in attracting businesses, but the county's infrastructure...
Beaver County’s proud history in industry and manufacturing got shelved with the demise of the steel industry, but the energy sector...
Demand for more protective hazmat suits is boosting production at an American chemical and plastics company as fears grow that the Ebola virus may spread.
POTTER TWP. -- A key step in a possible multibillion petrochemical plant was formally announced Friday as officials indicated they’re cautious and optimistic...
CENTER TWP. -- Emergency responders strongly encouraged evacuations Saturday night for a neighborhood, plaza and two hotels after a fuel leak from a tanker truck.


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But for anyone who would still like to arrange a gift, we have registered at prezola.com, gift list number: 10154483


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A Man For All Seasons (1966)
Grade: 65
"A Man For All Seasons" is a contest of will between King Henry VIII of England (Robert Shaw) and Sir Thomas Moore (Paul Scofield). The King's marriage is not going well. His wife cannot deliver an heir, which is necessary to avoid potential civil war upon the King's death. The King wishes to divorce his wife and marry again, this time to his brother's widow, with whom he is already having an affair. If the King cannot obtain the permission of the Pope for a divorce, no matter. He will start his own church, with himself at its head.
The King's government officials readily accept the wishes of the King, mostly for their own protection. But not Moore, who does not approve of the divorce. He believes that if he does not say so, publicly or privately, he cannot be convicted of treason. Moore is influential in society, and the King insists that Moore take an oath that approves of the divorce and King Henry's place as head of the Church. But Moore believes that if he takes this oath, his soul will be condemned, and he would rather lose his head than his soul.
Early in the film, Moore becomes Chancellor of England. Due to his believes, Moore gives up the title, his family becomes poor and outcast, Moore is imprisioned in the Tower of London, and eventually executed. While this slow submission of Moore to the King's will is well scripted and plotted, it does get a little repetitive. The dry nature of the film prevents any comic relief, and any humor is ironic. The alignment of the cast into "good" (Moore's family, the Duke of Norfolk) and "bad" (Cromwell, Richard Rich) is also simplistic. Moore being a lawyer, and speaking in sixteenth century English, most of what he says takes considerable concentration to comprehend. The film ends up less of a character study and more of a lawyer's deposition. Admittedly, I am scratching around for reasons I did not grade this film very highly. Might as well mention the character of Moore's daughter (Susannah York) who is so perfect that she may as well sprout Angel's wings.
"A Man For All Seasons" was the star of the 1966 Academy Awards, winning Best Picture, Best Director (Fred Zinnemann) and Best Actor (Scofield). The Academy must have found more charm in the film than I was able to.
Orson Welles is indeed in this movie, but is limited to only two scenes in the first few minutes. He looks as heavy as John Candy and Marlon Brando joined at the waist.
Shaw's portrayal of the King is my favorite part of the movie. King Henry VIII is usually depicted in film as gluttonous, murderous, and debauched. Henry here is portrayed as mercurial and self-centered, but also as a patron of the arts.
http://members.tripod.com/~Brian_Koller/movies.html
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Click on a map to find out what country you clicked on. This code sample shows how to create styled maps and how to generate and handle geocoding requests. It also shows how to use the chart api to generate dynamic icons.


The adventure
I woke up in a horrifying shock one morning. It was 4am and I'm sweating with fear. Lying warmly under my thick blanket but only one arm could feel it. Something happened to me during my sleep ... That something kept me thinking until today ... That something changed my perspective of life.
This happened to me not long after I moved into my new commune.
Before I slept. I placed my phone next to my head like I usually do and switched on my alarm clock for the next day around 7am. Without a second minute of thought, I passed out.
I am generally a still person. When I sleep, I'm mostly on my back. That night was weird though. While I was sleeping I must have twisted my hand in a funny position so that my left hand was hanging lifelessly above my head. As all night sleeps turns out, the sleep passes by quick but the time laps was actually really long.
So around 4am I heard a loud thumb on my bed. I forgot to mention that I do not sleep on mattresses and that's where the loud thumb came from. With the thumb, I also felt my left shoulder move. So I presumed that that must have been my left arm.
This was when things started to become slightly peculiar. I was still slightly half asleep when I felt a hand resting on my left shoulder on the front. So I reached over to this object that felt like a hand with my right hand. I could feel that it was soft and cold as I carefully pinched it. It felt very familiar … My brain suddenly registered. The only thing my brain could register it as was a dead hand.  Whose hand was it?
"Keep calm"
"It’s not moving"
My heart was pumping really quickly. I turned my head. Grabbed my phone. Switch on the torch. Shinned on "this" thing. It’s a hand!
… it was my hand…
The nerves in my brain was switched on now that I am wide awake. Pulses started trickle down my left arm. I was able to control my left hand again. Fingers were numb for a long time as I closed my fingers into a fist and release again.
The thoughts
I am fortune to understand how it feels to completely loose an arm. I could still picture this arm as a dead weight hanging onto my shoulder. My brain did not register that I was actually just touching my own hand. It was completely disjointed by the nerves. This body surely does not belong to me. I don’t own this body. I am merely borrowing it to fulfil my purpose in life.
So when I know that not even this body belongs to me … what more was there to be attached to? What more was there to be greedy about? What more was there to be selfish about? What more was there to fight for? What was the Meaning of Life now that not even our bodies truly exist?


Akka HTTP and Back Pressure
Zachary Pitts
October 12, 2016
@zacharyp
@zacharypitts
<EMAIL_ADDRESS>https://www.linkedin.com/in/zachary-pitts-874b61b
https://github.com/zacharyp/akka-http-presentation
Akka HTTP and Back Pressure Demo


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The Electromagnetic spectrum : Click on different parts of the spectrum.
Frequency (Hertz)
Approximate size
Buildings
Humans
Bee
Pinpoint
Protozoans
Molecules
Atoms
Atomic nuclei
Type of radiation
Wave length (metres)
Frequency (Hertz)
The frequency range varies from very low frequency of $ 10^3 $ Hz to very high frequency of about $ 10^{22} $ Hz.
Buildings
A wave length with a very low frequency of about $ 10^3 $ Hertz, is a very long wave and is about as tall as an average building.
Humans
A wave length with a low frequency of about $ 10^6 $ Hertz, is about as tall as an average human being.
Bee
The higher the frequency of a wave, the shorter the wave length. A wave with the frequency of $ 10^9 $ Hertz is about as long as a bee.
Pinpoint
A wave length with a frequency of about $ 10^{11} $ Hertz, is a very small wave and is about as big as a pinpoint.
Protozoans
A wave length with a frequency of about $ 10^{14} $ Hertz, is approximately in the middle of the spectrum, it is a tiny wave and about as big as a protozoan (which is a microscopic single selled organism.)
Molecules
A wave length with a high frequency of about $ 10^{17} $ Hertz, is a short wave and is about as small as a molecule.
Atoms
A wave length with a frequency of about $ 10^{20} $ hertz, is a very short wave and only about as big as an atom.
Atomic nuclei
Waves with a frequency of about $ 10^{22} $ hertz and beyond is extremely short waves, its length is about the same as that of an atomic nuclei.
Radio waves
These waves are the longest in the EM spectrum and vary from several hundred kilometres to a couple of millimeters.
They are used for all kinds of things, from television and radio broadcasts to microwave ovens.
Visible light
The visible light spectrum is the part of the electromagnetic spectrum that is visible to the human eye.
Gamma rays and X rays
Gamma and X-rays have the same properties. Gamma rays just to a greater degree. X rays have high energy and can penetrate the human body.


Step 6: Pre-flight
The preflight check ensures critical 508 accessibility and transparency requirements have been met and that business sign-off has occurred before the product is public.
Outputs
Go live ready product version
Lead
- Technical Lead
- Project Team POC
- VA Product Lead
- VA Business Owner
Participants
- Design Team
- Engineering Team
- Content Strategist
- Help Desk POC
- VA Call Center POC
Stakeholder Engagement
- Validate requirements have been met / accept the product
Activities
- All pages tracked through Google Analytics
- Performance testing
- Integration testing
- Content concurrence process has been completed
- 508 compliance testing
- Code is open-sourced
- 100% passing code test coverage
- Implementation of clear customer feedback mechanism
- Launch communication plan
- Development of launch communications (e.g., blogs, announcements, etc.)
- Prepare helpdesk and VA call center information to support launch and ongoing operations
- Develop sunset strategy for legacy technology
- Confirm coordination activities with VA Call Center, Help Desk, and other support processes are complete


|
Murder Inc.Originally a society of mostly Jewish hitmen, Murder Inc. eventually became the American Crime Syndicate's rub-out wing. In the early 30's, as Lucky Luciano was building his empire, his associates Meyer Lansky and Bugsy Siegel started Murder Inc. as a way to deal with "problems."Murder Inc. was an unqualified success. Eventually, Seigel and Lansky moved on to bigger and better things, but it continued to grow under the care of Albert Anastasia and Louis Buchalter. Murder Inc. hitmen were treated very well, even by today's standards. They recieved insurance, health care, retirement packages, and a very respectable paycheck. In addition to their killing fees, hitmen would receive a yearly salary to simply sit around and wait for a call. Murder Inc. elicited great loyalty from it's employees, thanks to it's excellent HR department. When George Young and Joseph Schaefer were arrested for a hit they had performed, Bugsy Seigel bought the men top flight lawyers and payed salaries to their families while they were incarcerated.
The Very Definition of WhackingAll that was needed to call in a Murder Inc. job was a phone call. Police routinely tapped the phones of top mobsters in the 30's, so euphemisms became commonplace. Some words, like hit, contract, and mark recieved their darker meanings from these phone calls.Hundreds of gangsters were employed by Murder Inc. during its heyday. Some famous hitmen included Abe "Kid Twist" Reles, Seymour "Blue Jaw" Magoon, Frank "The Dasher" Abbandando, Harry "Happy" Maione, Vito Gurino, Albert "Allie" Tannenbaum, and the infamous Harry "Pittsburgh Phil" Strauss.
An Incredible List of ClientsMany famous gangsters fell to Murder Inc. gunmen, including Dutch Schultz. But sometimes, Murder Ind. had to take care of its own. When Charles "The Bug" Workman left the Palace Chop House after killing Dutch Schultz and three of his men, he found his getaway car gone and himself on foot. The driver, known only as Piggy, had panicked and driven off ahead of schedule. After some discussion within Murder Inc.'s ranks, it was decided that Piggy had committed a grievous sin. Kid Twist Reles and a few other Murder Inc. men dragged Piggy to a remote woodland retreat, stabbed him to death with an ice pick, and set his body ablaze.But Piggy wasn't the only employee to meet his own co-workers in a business transaction. In 1946, Bugsy Seigel was shot through the eye; killed by a goon working for the very company he helped create.
The Jig is UpLike all comapnies, Murder Inc. had some disgruntled workers. Harry Rudolph was one of them. When he found himself in jail and adrift from the famous Murder Inc. charity, he demanded to speak to the district attorney about the murder racket. In his statements to the D.A., he mentioned the name of Abe Reles. Reles was also in custody at the time, and the D.A. immediately called him in for questioning. Kid Twist sang like a canary. For two years Reles spilled the beans on every aspect of Murder Inc. and the Syndicate. His testimony led the the eventual electrocution of Lepke Buchalter, the only board member of the Syndicate to ever be executed.In exchange for his testimony, Reles was given a soft sentence for the many murders he was eventually convicted of. In court, he recounted numerous killings, both his own and those of others. One particularly was of the murder of George "Whitey" Rudnick. In the words of Kid Twist, Pep has an ice pick. Happer has meat cleaver.  Abby grabs Rudnick by the feet and drags him over to the car. Pep and Happy grab it by the head. They put it in the car. Somebody says "It don't fit." Just as they push the body in it gives a little cough or something. With that, Pep starts with the ice pick and starts punching away at Whitey. Maione says "Let me hit the bastard one for luck."  His testimony led to the execution of Frank "The Dasher" Abbandando, Harry "Happy" Maione, Mendy Weiss, Louis Capone, and Harry Strauss. The New York City Police Department worked overtime guarding Reles in his Coney Island hotel room.  With a $100,000 price tag on his head, it's believed that one of his guards rubbed him out. Thanks to Reles, by the mid 40's, Murder Inc. was history. The business model it provided for the Syndicate's murderous tasks lasts to this day. |


;
Git for Web Development Project
In this project you will be using the concepts learned in the Git for Web Development lesson to fork/clone/push/and submit a PR for each project during this sprint. ## TESTING GIT This project consists of two parts:
Part One:
You will need to follow the Lambda School Git Workflow to add a file to this project follow the steps below:
- [ ] Create your own version of this repo - Fork
- [ ] Add your TL as a collaborator
- [ ] Clone this repo
- [ ] Create a branch
git checkout -b 'firstName-lastName'
- [ ] Add a file to the project called
yourFirstName-yourLastName
.txt. This file can contain anything.
- [ ] Run your usual git commands for adding/committing and pushing Be sure to push to your branch!
- [ ] Create a Pull-Request to submit your work
- [ ] Use your own student fork as the base (compare across forks, base-fork -> master).
- [ ] Add your TL as a reviewer on the Pull-Request
- [ ] TL then will count the Assignment as done by merging the HW back into master “STUDENT FORK”.
Part Two:
Go back and follow the same steps for your UI-III-Flexbox project and your User Interface - Great Idea Project.
In order to do this, you do not need to create new forks of these projects. Follow the steps below for each project:
- [ ] Add your TL as a collaborator to your fork.
- [ ] Go into your project folder, make a new branch
firstname-lastname
- [ ] Add your first and last name to the
README.md
file in the project and save.
- [ ] add/commit/and push to your own branch Be sure to push to your branch!
- [ ] Create a Pull-Request to submit your work
- [ ] Use your own student fork as the base (compare across forks, base-fork -> master).
- [ ] Add your TL as a reviewer on the Pull-Request
- [ ] TL then will count the Assignment as done by merging the HW back into master “STUDENT FORK”.
Stretch
- [ ] While the processes learned here will set you up to be successful in most situations, they are just the tip of the iceberg in learning Git. Independently research the following topics to learn more about Git.
- [ ] Research and understand what a
merge conflict
is and how to resolve it.
- [ ] Research the Git commands
pull
, rebase
, merge
. These commands will allow you to bring in changes that other developers push to the master branch.
- [ ] Research the Git commands
reset
, revert
, clean
. These commands will allow you to go back and amends previous commits you have made.
[ ] Research and set up a Graphical User Interface (GUI) Git console.
[ ] Research and setup SSH keys with GitHub, so that you do not need to input your username/password each time you push.


Page 1 of 1
300
Posted:
Fri Mar 09, 2007 9:27 pm
by David T.
Quite the hot movie. Not historically correct of course, but what can we expect, it's based off of the graphic novel which was obviously off of the facts. Good movie overall, looks great. Battle scenes are excellent in particular but what else would you be going to see this movie for anyway?
Go see this movie.
 I can't wait until it's out on DVD.
Posted:
Sat Mar 10, 2007 10:56 am
by Karl G.
a ton of people are talking about it here...I think I will have to check this out
Posted:
Sat Mar 10, 2007 10:11 pm
by Liberate My Madness
go my friend! go see! be enlightened!
Seriously though, that movie was great, the special effects and battle scenes and emotion in the movie were perfect.
Posted:
Sun Mar 11, 2007 2:32 pm
by Joe M.
I've heard mixed things about this film, but I want to see it for three reasons:
*I liked Sin City a lot.
*I studied ancient Greek culture in several of my classes last semester, and I enjoyed it a lot
*In the first trailers, every line of dialogue was taken from historical accounts or legends of the battle.
Posted:
Sun Mar 11, 2007 5:31 pm
by David T.
Just don't expect deep plot character development. Violence is the name of the game... lots of it. I found myself laughing during some of the scenes at just the sheer brute force of some of the blows that were acted out. Very good acting for sure and none of the fighting seemed fake. Well.. I guess that's not the right way to put it. Lets go with the acting made the superheroic strength of the spartans seem realistic.


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There are plenty of books, videos, and online resources for developing iOS apps. Despite the fact that iPhone and iPad apps require a Mac for code development, there is little information about actually creating native Mac applications. The examples provided below demonstrate various aspects of Mac app development using the latest versions of Swift and SwiftUI. Hopefully these examples will provide a useful resource for Mac developers. The code repository for this website is located on GitHub at wigging/swift-macos.
Questions, comments, and other feedback can be sent via Email or Twitter. Or submit an Issue on the GitHub repository at wigging/swift-macos.
If you would like to support this project, donations can be made to Gavin Wiggins using GitHub Sponsors, Patreon, Buy Me A Coffee, or PayPal. Thank you 😄.
Gavin Wiggins © 2021


| 12/10 | : 165 North Main Street : Spanish Fork | 8-10:30pm | $4 | **see below | |||||||||||||||
| ** 8-9:00 pm Chili Davis Acoustic Set (including one or two off our original CD with Mike Lowe) ** 9-10:30 pm plugged in and rockin, playing your favorite Chili Davis originals and covers------ directions to venue in Spanish Fork: take I-15 to exit #260 (UT-156 toward Spanish Fork) - go 0.3 mi - turn on N MAIN ST - go 1.0 mi arrive at 165 N MAIN ST !! LAST SHOW OF THE YEAR - DONT MISS IT !! | |||||||||||||||||||
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YEILD TO THE EVOLUTION
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Rtn. Dr. Zameer Pasha is a versatile personality and one of the best leading Endoscopic and Laparoscopic Surgeons of India. His Shanawaz Hospital is the first private hospital in Trichy with ISO 9001:2000 Certificate of Excellence in Laparoscopic Surgery of International Standards.
After his meritorious academics in Madurai Medical College in 1976, he completed M.S., with First Rank in Madaras University. By his incessant and dedicative medical services to the society, he was given various positions in Surgeons Associations.
He was the Founder chairman of Hospitals Board of India, New Delhi and President of Indian Medical Association of Tamilnadu. He was awarded “The Best State President of I.M.A” in 2005. He is the Recipient of “Lifetime Achievement Award” presented by Dr.M.G.R. Medical University.
He has performed more than 15,000 Laparoscopic procedures individually. He is the pioneer in Laparoscopy and Laser surgery since 1991. He has addressed in many seminars and conferences of Associations of Surgeons of India. He holds various leading positions in Surgeons Associations in International Level. He was the National Vice Chairman of I.M.A. of Academy of Medical Specialties of India in 1999. He was the President of International College of Surgeons – Indian Section in 2014-16.
Rtn. Dr. Zameer Pasha has been a member of Rotary Club of Tiruchirappalli Midtown for more than 35 years. He was an Interactor during his school days and member of Rotaract Club of Madurai Medical College in 70’s. After holding various positions in his club from 1982, he started serving in several committees in District since 2002. He has addressed several Rotary District Meetings and Conferences of District 3000, 2980 and 3230. After his President ship in the club in 2010-11, he has organized many District Events. He attended R.I Convention at Bangkok in 2011 and other International Events.
He is the First named Endowment Sponsor to TRF in District 3000 (US $ 25,000). He is a Major Donor and is going to serve District 3000 as Governor during the year 2019-20.
His spouse Dr. Shakila Zameer, is an Obstetrician and Gynaecologist. His son Dr. Shakir Tabrez, a Gold Medalist in M.S & M.Ch in Urology and his daughter Dr. Rubina Shanawaz, won 3 Gold Medals in M.S.
The busiest doctor ever is a voracious Reader with interest in Music, Contemporary Literature and fine arts. He is a sportsman, Played Hockey, Tennis, Cricket in college team and is also a keen Golfer.