"Aye, buckeye!" said the sailor as he waved a hearty goodbye, fully aware that his buckeye was a symbol of good luck that he hoped would always be with him. [G|D]
She opened her eye and gazed around the room one last time, taking in all the memories she had made there before dyeing the fond farewell of goodbye across her lips. [G|D]
The farmer added lye to the rye and stirred it with his sockeye, a perfect combination for creating a loaf of dense, rustic bread that would be sure to tantalize the taste buds of all who ate it. [G|D]
She awoke with a stye in her eye and a throbbing headache, only to realize that her walleye fishing adventure the night before had been a success when she opened the bucket to find a wriggling ye. [G|D]


There are four configuration files for the master server: master.conf, topology.conf, slaves.list, and replica.conf. These files are located in the configuration file directory ($SECTOR_HOME/conf). The file "master.conf" includes the basic information required to start the master server, such as server port number. This file MUST be configured. The file "topology.conf" specifies the topology information of the slaves network. This is optional. The file "slaves.list" includes a list of slave nodes that the master can automatically start or shutdown. This is also optional. Finally, the optional "replica.conf" allows you to specifcy replication rules for specific files and directories.
master.conf
A copy of the master configuration file can be found below. The SECTOR_PORT is the port number on which the Sector master will listen to requests from clients. Note that although you only specify one port number here, Sector will actually use two consecutive numbers. For example, if you use port 6000, Sector will use both ports 6000 and 6001. The SECURITY_SERVER is the address of the security server in the format of <ip:port> or <domain_name:port>. The option "REPLICA_NUM" specifies the number of replicas of each file in the system. Finally, you also need to specify a directory to which Sector can store temporary files under the option "DATA_DIRECTORY". If the directory does not exist, Sector will create it automatically, provided that the master program has write permission to the directory. There are more options in the configuration file and the explanation for each option is also included immediately above the option name.
While this configuration specifies a system wide replication number for all files, users may use $SECTOR_HOME/conf/replica.conf to specify a different replication number of particular files and directories.
In the configuration file, the option value must be preceded by a "TAB" character. The "#" character can be used for comment lines.
topology.conf
Sector assumes that the slave nodes are computers in one or more clusters, while clusters can be allocated in one or more data centers, and so on. This is a multi-level hierarchical topology. The position of each IP range is represented by "/L1/L2/.../Ln" is an n-level structure and L1 is the first level. For example, in a 2-level topology, "/1/2" means the 2nd cluster in the 1st data center. The number of levels for each IP address or IP address range must be equal.
The slave IPs can be either a single IP address, e.g., <IP_ADDRESS>, or a group of continuous IPs represented by IP mask, e.g., <IP_ADDRESS>/24 (means <IP_ADDRESS> - <IP_ADDRESS>) .
For those slaves whose IPs are not in this list, they will be put into "/0/0/.../0" by default. Therefore you should avoid using "/0/0/.../0" in this list. Also, the level ID does not need to be continuous.
slaves.list
When using "start_all" and "stop_all" to start and stop all slaves automatically from the master node, the list of slave information must be specified in the "slaves.list" configuration file. In this text file, each line represents one slave in the following format:
<user name>@<ip address> <location of the sector home - i.e., $SECTOR_HOME - on the node>
Note that the <user name> is the Linux user account on the corresponding slave node. It is NOT the Sector user account.


Foreign national found dead at hotel
Police suspect that she died of cardiac arrest
by Staff ReporterA 43-year-old foreign national was found dead in a hotel room in central Delhi’s Paharganj on Saturday morning. Police said that she suffered a cardiac arrest.
A senior police officer said that the deceased has been identified as Polly Anne Tuialii of New Zealand. She had come to India with her partner John Ferguson, an Australian national, on Friday. “We have been told that they had checked into the hotel on Friday and were here to get married,” the officer said.
A hotel staff said that the woman was found unconscious around 7.30 a.m. “The man came and told us that the woman is in the washroom and he wants to use another washroom. We provided him with the same. When he went back to the room, he saw her in an unconscious state and informed us. We went and checked after which we informed the police,” said a hotel staff.
The woman was taken to the hospital where she was declared brought dead.
The police said that Tuialii’s family in New Zealand have been informed and they allegedly said that she had been suffering from a blood pressure problem and used to take regular medicines for it. “She is suspected to have collapsed due to cardiac arrest. Embassy has been informed and a post-mortem will be conducted,” the officer said.


17. Ethereum Secret Messenger
Ethereum Secret Messenger
Here you'll work towards setting up your blockchain to connect with a front end application. You'll start by using an HTML file, then switch to serving this live on our local host.
From there, I'll help you address some issues that come up and point out things to consider when building your own applications.
Objectives
Our goal is to help you do the following things.
- Connect the functions of your blockchain to a front end that users can interact with.
- Fix some of the issues that come up needed to make this DApp live.
- Deploy your DApp to the test network and view the results
Connect a Front End
17-Ethereum-Secret-Messenger
Index.html
Here is the index.html file as shown in the video above.
<!DOCTYPE html>

<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>Deploy a Remix Contract</title>
<link rel="stylesheet" type="text/css" href="main.css">

Ethereum Secret Messenger

This site writes a secret message to the Ethereum
blockchain!
<input id="userInput" type="text">
<button id="setMessageButton">Set secret message</button>

main.css
Here is the main.css file as shown in the video above.
body {
background-color:#F0F0F0;
padding: 2em;
font-family: 'Raleway','Source Sans Pro', 'Arial';
}
label {
display:block;
margin-bottom:10px;
}
input {
padding:10px;
width: 50%;
margin-bottom: 1em;
}
button {
margin: 2em 0;
padding: 1em 4em;
display:block;
background-color: #00BCD4
}
#setMessageButton {
padding:1em;
background-color:#fff;
margin: 1em 0;
background-color: #00BCD4;
color: #fff
}
2. First Try at a Live Server
- First Try At A Live Server
Updates to index.html
Here is a summary of the changes made to index.html throughout the previous video
$("#setMessageButton").click(function () {
message = $("#userInput").val()
myMessage.setMessage(message, (error, result) => {message = result});
console.log($("#userInput").val())
});
Fix the Errors: DApp on a Local Blockchain
Fix The Errors DApp On A Local Blockchain
3. DApp on the Test Net
- DApp On The Test Net
To get your DApp on the Ethereum Test Network will take a bit of re-organizing and the ability to adjust a few connections with tools that you already know. Throughout this section, we'll get you set up with the test network using the following tools
- Node.js
- Web3
- Remix
- Infura
You won't need ganache to connect to the test network. If you'd like to follow along, you can close ganache for now.
Task Description:
You can use this checklist to keep track of your progress on the steps listed below.
Task Feedback:
Great job!
Step 1: Connect to Infura
Navigate back to your Infura dashboard, change the endpoint to configure to the Rinkeby Test Network, and copy the link they provide. This link will give web3 access to the Test Network.
Next, go back to your code editor and replace the URL that connects you to ganache with this new endpoint url.
web3 = new Web3(new Web3.providers.HttpProvider("https://rinkeby.infura.io/v3/YOUR-CONNECTION"));
Your DApp is now set up to connect to the Test Network.
Step 2: Connect Metamask to the Test Network
Next, you'll need to connect Metamask to the test network. To do this, click on the extension icon, select the dropdown, and choose Rinkeby Test Network.
Step 3: Deploy your Smart Contract to the Test Network
In this step, navigate back to remix to deploy your smart contract to the test network. First, check to ensure that the environment is connected to the injected web3 provider. This connects Remix to the web3 provider injected by Metamask which is giving you a connection to the test network.
Once it's connected, hit deploy to deploy this to the test network. You should see a notification come up confirming that you want to complete this transaction. Hit confirm and your contract will now wait to be confirmed by the network.
You can view this transaction on Etherscan by selecting the link provided in Remix or in Metamask.
Step 4: Update the Contract Address
When you deployed this contract, you made a new contract address that needs to be updated in your code editor. To update your contract address, copy it from the deployed contract in Remix and paste it into your editor.
var myMessage = RemixContract.at('YOUR NEW CONTRACT ADDRESS);
Step 5: Test the DApp
Now that you've set up your connections, you're ready to test your DApp. Head back to your site, refresh the page, and try sending a secret message. When you do, Metamask should pop up asking you to confirm your transaction to send it to the test network.
Note: If you try this immediately after deploying your contract, you may get an error. In some cases, the Infura network needs time to sync your contract to their copy of the test network. This should probably not take more than 5-10 minutes.
Once this transaction is confirmed you've officially deployed a DApp to the test network and made your first transaction.
Review
Skill Tracker
Task Description:
Track the objectives you've feel you've gained the skills to complete.
Task Feedback:
Congratulations on gaining new skills!


Learn about what risks Nintendo faces in it's Kyoto location.
Japan is well known for it's earthquakes. Kyoto is no exception to this perception.
Just like other parts of Japan, Typhoons are not impossible to happen in Kyoto.
Nintendo HQ is located very close to a river and can flood.
Kyoto is no exception when it comes to earthquakes. As you can see in this image, the red lines and boxes show active seismic zones and Kyoto is completely covered in this zone (J-SHIS, 2021). In fact, in 2018, Nintendo had to delay a live stream event because of a earthquake that struck the area (Nintendo of America, 2018). You can see the tweet that they sent out below.
Due to the powerful earthquake in Hokkaido, Japan, we have decided to delay this week’s planned Nintendo Direct. We will provide a new time and date in the near future. Thank you for your understanding. pic.twitter.com/IITgJFtzub
— Nintendo of America (@NintendoAmerica) September 6, 2018
The Kyoto city government has also released an earthquake risk map that shows the most dangerous areas. When translated via translate.yandex.com/ocr, it says that the orange region is a 6 earthquake (Kyoto City, 2021). A "6-strong" earthquake is described as "You can't move ..." and "It is also possible to fly" (Kyoto City, 2021). I could not figure out if this was using the Richter scale. From the English translation it says "seismic intensity" and based on how similar the description of a 6 earthquake, I assume it is using the Richter scale (Kyoto City, 2021).
Nintendo lies within the area on the right that looks as if a square had been cut out. I have taken the liberty of editing the image to highlight where Nintendo is located.
While seeing the very alarming risk maps might scare you, it is not as bad as other parts of Japan. As you can see from the image on the left, Kyoto experiences way less earthquakes compared to the well known city of Tokyo (J-SHIS, 2021). This could very well be because Tokyo sits near many plate boundaries and Kyoto is near only one seismically active region that could be less dangerous than the plates that Tokyo sits on-top of (Hurst, 2019, p. 6).
Just like the rest of Japan, Typhoons are not uncommon to the area. Japan has a long history of experiencing Typhoons and Kyoto is no exception. As you can see in this picture, the 'N' from the Nintendo logo was ripped off from typhoon Jebi that occured in 2018. (Christophe95, CC BY-SA 4.0 , via Wikimedia Commons, 2018)
Kyoto is surrounded by many sources of water such as the Katsura river, Kamo river, and lake Biwa. Nintendo is located no more than 2 blocks away from the Kamo river. In the picture, the river on the right side is the Kamo river. Because Nintendo is so close to this river, the only thing that is preventing Nintendo from flooding is the height of the river banks. As you can see from the image obtained from the Kyoto city government's website, Nintendo is located in a flood zone (Kyoto City, 2021). Any intense rainfall or storm surge that makes the river overflow will cause Nintendo to flood.
If a mass flood occurs, Kyoto City will have 121 square kilometres of the city flooded (Udmale et. al., 2019, p. 11). This can be compared to Osaka city (south of Kyoto and touching the ocean), which will have 144 square kilometres flooded (Udmale et. al., 2019, p. 11). The average inundation depth for Kyoto City is 2.4m which is about 8 feet (Udmale et. al., 2019, p. 11).
Mobirise site software - Visit site


skip to main content
WAI-ARIA keyboard equivalent test
Web?????????????????
1 related tags
accessibility
X


XBRL Dimensions 1.0 Conformance Suite
Candidate Recommendation of 2009-10-06
This document:
XDT-CONF-CR4-2009-10-06.htm
is the NON-NORMATIVE version of this document. The NORMATIVE version is in the document XDT-CONF-CR4-2009-10-06.rtf
Source files:
XDT-CONF-CR4-2009-10-06.zip
Unzip the latter into a {ROOT} directory to create a directory hierarchy. Open the file {ROOT}/xdt.xml in a browser. This yields a hypertext navigable tree view of test set lists, and a test list in each set of tests.
|
Name |
Contact |
Affiliation |
|
Hugh Wallis |
XBRL International Inc. |
|
Name |
Contact |
Affiliation |
|
Herm Fischer |
UBmatrix |
XBRL is the specification for the eXtensible Business Reporting Language. XBRL allows software vendors, programmers, intermediaries in the preparation and distribution process and end users who adopt it as a specification to enhance the creation, exchange, and comparison of business reporting information. The XBRL Dimensions 1.0 specification document describes the elements and data structures that can be constructed using XBRL Taxonomies to standardize the content of the segment and scenario containers within the context of facts that exist in XBRL instance documents.
This document describes a set of conformance tests for dimensional processors that check conformance of XBRL instance documents and taxonomies against the XBRL Dimensions specification 1.0. Unless indicated otherwise, references to ‘XBRL’ and ‘the specification’ in this document mean ‘XBRL 2.1’ and ‘the XBRL 2.1 specification recommendation’, respectively. Unless indicated otherwise, references to ‘XDT’ in this document mean ‘XBRL Dimensions 1.0’.
This is a Candidate Recommendation whose circulation is unrestricted. Recipients of this document are invited to submit comments to the editor and authors, and to submit notification of any relevant patent rights of which they are aware and to provide supporting documentation.
XBRL Dimensions 1.0 Conformance Suite
Candidate Recommendation of 2009-10-06
2 Changes from the previous recommendation
4.2 Structure of Testcase summary files
D Intellectual property status (non‑normative).
E Document history and acknowledgments (non-normative)
Figure 1. Fragment of the root file xdt.xml
Figure 2. A testcase consists of one or more variations
Figure 3. The file 202-00-ProperID-valid.xsd
XBRL is the specification for the eXtensible Business Reporting Language. XBRL allows software vendors, programmers and end users to enhance the creation, exchange, and comparison of business reporting information. Business reporting includes, but is not limited to, financial statements, financial information, non-financial information and regulatory filings such as annual and quarterly financial statements. The XBRL Dimensions 1.0 specification documents the architecture and syntax of elements that provide multiple dimensions to facts that exist in instance documents using the segment and scenario container in the context of such facts. The XBRL Dimensions 1.0 specification also defines validation rules that can be used to define and check the expected dimensions for each fact and dimension value combinations that are valid or invalid.
This document describes the conformance suite for processors that claim to check taxonomies for compliance with [XDT]. Such processors are XDT Compliance Processors.
The purpose of the conformance suite is to facilitate consistency among XDT Compliance Processors.
The conformance suite is normative in the same sense that the specification [XBRL] is normative and [XDT] is normative. An application is a XDT Compliance Processor if and only if it passes all of the conformance suite tests. In this case, the processor is declared as XDT Conformant.
This conformance suite does not mark each test to indicate whether it is necessary for minimal or full Conformance. All test cases are considered minimal.
Testing of applications that consume XBRL instances and the taxonomies used by those instances is included in the scope of this conformance suite.
Testing of applications that produce XBRL taxonomies is not within the scope of this conformance suite.
Testing of APIs that produce XBRL instance documents is not within the scope of this conformance suite.
[XBRL] is in scope and [XDT] is in scope. Other work products of XBRL International, whether public or internal, are not in scope. [XBRL] is based on XML Schema [SCHEMA-0] [SCHEMA-1] [SCHEMA-2].
The terminology used in XBRL frequently overlaps with terminology from other fields, and the following list is provided to reduce the possibility of ambiguity and confusion. For definitions of the following terms see the XBRL 2.1 Specification [XBRL].
· abstract element, alias concept, alias item, c‑equal, child, parent, sibling, grandparent, uncle, ancestor, concept, concrete element, CWA, duplicate items, duplicate tuples, element, entity, error, essence concept, essence item, fatal error, instance namespace, item, least common ancestor, linkbase namespace, must, must not, required, shall, shall not, should, should not, may, optionaL, non-numeric item, numeric item, period, p‑equal, s‑equal, taxonomy, tuple, u-equal, v‑equal, XBRL instance, x‑equal.
For definitions of the following terms see [XDT]
· Dimension, Domain, Effective Domain, Domain Member / Valid Member, Explicit Dimension, Typed Dimension, Empty Dimension, Primary Item, Primary Item Declaration, Primary Item Descendant, Primary Taxonomy, Dimensional Taxonomy, Template Taxonomy, Hypercube, Empty Hypercube, Hypercube Declaration, Dimension Declaration, Typed Dimension Element, Dimensional relationship set, Base Set, Dimensional Processor, Raise an error.
The following highlighting is used to present literal code fragments:
|
|
The following highlighting is used for non-normative examples:
|
|
Non-normative editorial comments are denoted as follows, and will be removed from the final recommendation:
IHR: This highlighting is used to indicate editorial comments about the current document, prefixed by the editor’s initials.
Italics are used for rhetorical emphasis only and do not convey any special normative meaning.
There has been no previous recommendation, hence no changes.
The structure of the test suite is based on the OASIS XSL Conformance Suite and the XBRL 2.1 conformance suite. In the case of XSL the structure of each individual test is simple:
· An input .xml file;
· An .xsl style sheet;
· An expected output .txt file and its location.
In the OASIS suite, sets of files are then organised into individual “variants” in a list comprising a “test case” and then the test cases are organised into a list. XML files are used to represent the individual tests and relationships among the files. Implementers develop their own test harness, which uses these XML files to successively apply each .xsl file to each .xml file and compare the result to the output .txt file (after running both through infoset.xsl in order to remove irrelevant output differences). In each case the input may either be valid or invalid, and the test harness produces a report showing the pass/fail status of the implementation on each test. In general, a test harness does not stop at the first failure but attempts to perform all of the tests.
The three main sets of tests for XDT conformance are:
1. Schema Invalid test cases,
2. Dimensional taxonomy errors tests and
3. Instance document error tests.
The objectives of each are described at a high level in this document.
To see the tests themselves, unzip the package and visit the {ROOT}/xdt.xml file. In general each test may have zero or more of these different types of file:
· Instance: CamelCase style file name, suffix .xbrl;
· Schema: CamelCase style file name, suffix .xsd;
· Linkbase: CamelCase style file name, suffix .xml;
A numbering scheme organises the test sets and variations as detailed below in section 4.2, “Structure of Testcase summary files”.
The conformance suite has a hierarchical tree structure. The structure segregates tests into sections for usability and provides an individual subdirectory for each section. Inside the sections there are additional subdirectories, one per expected error message. Each subdirectory contains the test case summary file and all files for all variations of each test case:
{ROOT}
· 000-Schema-invalid – tests that should raise schema validation errors.
· 100-xbrldte – tests relating to taxonomy errors.
· 200-xbrldie – tests relating to instance document errors.
· lib – the directory where common schemas reside. There is only one common schema in that folder that is the test.xsd schema.
· lib/base – the directory where common taxonomies used in multiple test cases reside. The taxonomies found in this folder are valid XBRL 2.1 taxonomies and schemas.
Test cases themselves have their own files and are located within their parent subdirectories viz. 203-PrimaryItemDimensionallyInvalidError, 105-HasHypercubeTargetError, etc. each one of the folders contains a test cases file.
The naming scheme of the test case summary files is in the form “TTT‑TestCase-ErrorName.extension.” Where:
· TTT is the numeric portion of the test case ID per the test case file. For example the test case “T-204” has the code “204”.
· TextCase is the fixed string “TextCase”.
· ErrorName is the error condition that some of the test cases must raise.
· extension is “.xml”.
So, putting this all together, an example test case included in the “200-xbrldie” directory, with the subdirectory “204-RepeatedDimensionInInstanceError”, has one file “204-TestCase-RepeatedDimensionInInstanceError.xml” that describes the different variations.
The root file of the test suites is xdt.xml. This lists all the sets of tests in the suite. A portion of it is shown in the figure below.
Figure 1. Fragment of the root file xdt.xml
|
<testcases name="XBRL Dimensional Taxonomies 1.0 Tests" date="2005-12-10" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="xdt.xsd"> <testcase uri="000-Schema-invalid/001-Taxonomy/001-TestCase-Taxonomy.xml"/> <testcase uri="100-xbrldte/101-HypercubeElementIsNotAbstractError/101-TestCase-HypercubeElementIsNotAbstractError.xml"/> <testcase uri="100-xbrldte/102-HypercubeDimensionSourceError/102-TestCase-HypercubeDimensionSourceError.xml"/> <testcase uri="100-xbrldte/103-HypercubeDimensionTargetError/103-TestCase-HypercubeDimensionTargetError.xml"/> <testcase uri="100-xbrldte/104-HasHypercubeSourceError/104-TestCase-HasHypercubeSourceError.xml"/> <testcase uri="100-xbrldte/105-HasHypercubeTargetError/105-TestCase-HasHypercubeTargetError.xml"/>. . . . </testcases> |
The testcases element has the following attributes:
· name - a brief name for the complete test suite
· date - date the test suite was published.
The testcases element may contain any number of testcase elements. Each of these has only one attribute:
· uri - the relative URI where the testcase file itself is to be found.
The schema xdt.xsd defines the structure of the file xdt.xml.
The structure of a testcase file is described by the schema {ROOT}/lib/test.xsd. The figure below shows one testcase and its first two variations. The testcase is not meant to be directly executed; it is meant only as a declarative representation that organise the information in a way that programs (specifically, a test harness) can use.
Figure 2. A testcase consists of one or more variations
|
<testcase xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xbrldie="http://xbrl.org/2005/xdi/errors" xmlns="http://xbrl.org/2005/conformance" name="204-TestCase-RepeatedDimensionInInstanceError" description="Rules <IP_ADDRESS>, <IP_ADDRESS> and section 2.9." outpath="out"<EMAIL_ADDRESS>minimal="true" xsi:schemaLocation="http://xbrl.org/2005/conformance ../../lib/test.xsd"> <!-- Dimensional syntax rules pertaining to instances and not covered by XML Schema and XBRL validation. --> <!-- As of the 2005-12-10 internal working draft (by HF). --> <!-- <IP_ADDRESS> 1. A context MUST NOT contain more than one dimension value for every dimension. A validator MUST signal [Ins Err, 7] xbrldie:RepeatedDimensionInInstance when this rule is violated --> <variation id="V-01" name="contextContainsTypedDimensionValid"> <description reference="XDT-IWD-2005-12-10.doc#<IP_ADDRESS>">1. A context MUST NOT contain more than one dimension value for every dimension. A validator MUST signal [Ins Err, 7] xbrldie:RepeatedDimensionInInstance when this rule is violated. In this valid variation only one dimension value is provided.</description> <data> <xsd readMeFirst="false">contextContainsRepeatedDimension.xsd</xsd> <linkbase readMeFirst="false">contextContainsRepeatedDimension-definition.xml</linkbase> <linkbase readMeFirst="false">contextContainsRepeatedDimension-label.xml</linkbase> <instance readMeFirst="true">contextContainsTypedDimensionValid.xbrl</instance> </data> <result> </result> </variation> <variation id="V-02" name="contextContainsRepeatedDimension"> <description reference="XDT-IWD-2005-12-10.doc#<IP_ADDRESS>">1. A context MUST NOT contain more than one dimension value for every dimension. A validator MUST signal [Ins Err, 7] xbrldie:RepeatedDimensionInInstance when this rule is violated. In this case two customer names are provided for the same context segment.</description> <data> <xsd readMeFirst="false">contextContainsRepeatedDimension.xsd</xsd> <linkbase readMeFirst="false">contextContainsRepeatedDimension-definition.xml</linkbase> <linkbase readMeFirst="false">contextContainsRepeatedDimension-label.xml</linkbase> <instance readMeFirst="true">contextContainsRepeatedDimension.xbrl</instance> </data> <result> <error>xbrldie:RepeatedDimensionInInstanceError</error> </result> </variation> </testcase> |
The testcase element has the following attributes
· name: a brief name for test cases.
· description: usually a reference to the portion of the [XDT] text itself that supports the need for the test.
· owner: the e-mail address of the main contact for this testcase.
· minimal: (optional, default value true) indicates whether the testcase is part of the minimal conformance suite. If false, it means the testcase is only part of the full conformance suite.
· outpath: (unused) normally set to the string "out"
The testcase may contain any number of variations. Each variation has the following parts:
· id (attribute): an identifier used to ensure uniqueness within the variation.
· name (attribute): a brief name for the variation.
· description (element): a text explanation of what syntactic constraint or other feature is meant to be tested by this variation.
· reference (attribute to the description element): a text string of the form filename#a.b.c.d where filename is the XDT file name and section is the dot separated section number.
· data (element): an element to encapsulate the files that are part of the variation.
· xsd, linkbase and instance elements: these elements give the relative pathname of the input files to the XBRL dimensional processor for this specific variation.
o The readMeFirst attribute is a Boolean that signals which of the several input files is actually the one that the XBRL Processor should read in order to begin processing.
· result element: this element declare the expected result of the variation. If the content of the result element is the empty sequence the result is valid.
· Possible error elements are: error, warning and inconsistency. The content of those elements is always one of the QNames defined in the XDT specification.
There are XSL stylesheets testcase.xsl and testcases.xsl in the directory CONF that allow browsers to view the contents of testcase files in tabular form.
An example of a variation is the “204-RepeatedDimensionInInstanceError” variation in the testcase 200‑xbrldi. The goal of this specific variation is to ensure that there is no more then one value reported for a dimension.
The figures below show the instance document that is invalid. There is another variation of the same test case that is valid. The content of the result element is “<error>xbrldie:RepeatedDimensionInInstanceError</error>” in the invalid test case and nothing in the valid test case.
Figure 3. The file contextContainsRepeatedDimension.xbrl
|
<xbrl xmlns="http://www.xbrl.org/2003/instance" xmlns:link="http://www.xbrl.org/2003/linkbase" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:pr="http://www.xbrl.org/dim/conf/primary" xmlns:xhtml="http://www.w3.org/1999/xhtml" xmlns:iso4217="http://www.xbrl.org/2003/iso4217" xmlns:tx="http://www.xbrl.org/dim/conf/389/contextContainsRepeatedDimension" xmlns:cc="http://www.example.com/customer-code" xmlns:xbrldi="http://xbrl.org/2006/xbrldi" xsi:schemaLocation="http://www.xbrl.org/dim/conf/389/contextContainsRepeatedDimension contextContainsRepeatedDimension.xsd http://xbrl.org/2006/xbrldi http://www.xbrl.org/2006/xbrldi-2006.xsd http://www.xbrl.org/2003/instance http://www.xbrl.org/2003/xbrl-instance-2003-12-31.xsd http://www.xbrl.org/dim/conf/primary ../../lib/base/primary.xsd http://www.example.com/customer-code ../../lib/base/cust-code.xsd">
<link:schemaRef xlink:type="simple" xlink:arcrole="http://www.w3.org/1999/xlink/properties/linkbase" xlink:href="contextContainsRepeatedDimension.xsd"/>
<context id="ctx1"> <entity> <identifier scheme="http://www.example-dims.com" >Example Dimensional Company</identifier> <segment> <xbrldi:typedMember dimension="tx:hc_CustCodeDim"> <cc:customer>a123</cc:customer> </xbrldi:typedMember> <xbrldi:typedMember dimension="tx:hc_CustCodeDim"> <cc:customer>b123</cc:customer> </xbrldi:typedMember> </segment> </entity> <period> <startDate>2005-01-01</startDate> <endDate>2005-12-31</endDate> </period> </context> <unit id="Euros"> <measure>iso4217:EUR</measure> </unit> <pr:Sales decimals="2" contextRef="ctx1" unitRef="Euros">1000000.00</pr:Sales> <pr:CostOfSales decimals="3" contextRef="ctx1" unitRef="Euros">750000</pr:CostOfSales> <pr:GrossProfit decimals="0" contextRef="ctx1" unitRef="Euros">250000</pr:GrossProfit> <pr:RevenueTotal decimals="0" contextRef="ctx1" unitRef="Euros">1000000</pr:RevenueTotal> </xbrl> |
If you are going to submit new or updated test cases or variations, you must have access to the CVS repository where the Conformance suite is stored.  All Rights Reserved
This document and translations of it may be copied and furnished to others, and derivative works that comment on or otherwise explain it or assist in its implementation may be prepared, copied, published and distributed, in whole or in part, without restriction of any kind, provided that the above copyright notice and this paragraph are included on all such copies and derivative works. However, this document itself may not be modified in any way, such as by removing the copyright notice or references to XBRL International or XBRL organizations, except as required to translate it into languages other than English. Members of XBRL International agree to grant certain licenses under the XBRL International Intellectual Property Policy (www.xbrl.org/legal).

The attention of users of this document is directed to the possibility that compliance with or adoption of XBRL International specifications may require use of an invention covered by patent rights. XBRL International shall not be responsible for identifying patents for which a license may be required by any XBRL International specification, or for conducting legal inquiries into the legal validity or scope of those patents that are brought to its attention. XBRL International specifications are prospective and advisory only. Prospective users are responsible for protecting themselves against liability for infringement of patents. XBRL International takes no position regarding the validity or scope of any intellectual property or other rights that might be claimed to pertain to the implementation or use of the technology described in this document or the extent to which any license under such rights might or might not be available; neither does it represent that it has made any effort to identify any such rights. Members of XBRL International agree to grant certain licenses under the XBRL International Intellectual Property Policy (www.xbrl.org/legal).
This conformance suite was written with the contribution of many people, particularly the participants of the XBRL Specification and Domain Working Groups.
|
Date |
Editor |
Remarks |
|
IHR |
First draft of document prepared and distributed according to XDT Dimensions CR3. |
|
|
2009-10-06 |
HW |
Updated to reflect Dimensions 1.0 Recommendation dated 2006-09-18 with errata corrections to 2009-09-07 |


Man dies at Cloverhill Prison after incident involving another prisoner
A Garda investigation has been launched.
by Órla RyanA GARDA INVESTIGATION has been launched following the death of a man at Cloverhill Prison in Dublin.
Shortly after midnight, gardaí and emergency services were called by prison authorities following an incident involving two male prisoners in custody at the prison.
A man in his late 30s was treated by emergency services but was pronounced dead at the scene a short time later.
The body of the deceased remains at the scene, which is currently preserved pending a full forensic and technical examination.
The coroner has been notified and the services of the State Pathologist and Garda Technical Bureau have been requested.
Gardaí said they are following a definite line of enquiry and the investigation is ongoing.


{% extends 'email_base.html' %} {% load i18n %} {% block email_con %} {% autoescape off %}
{% trans "Hi," %}
{% blocktrans with account=user.username %}To reset the password of your account {{ account }} on {{ site_name }}, please click the following link: {% endblocktrans %}
{{ request_domain }}/accounts/password/reset/confirm/{{uid}}-{{token}}
{% trans "If you did not request it, just skip it." %}
{% endautoescape %} {% endblock %}


Posted by Shujin Wu on July 16, 2017
The field of study that gives computers the ability to learn without being explictly programmed. - by Arthur Samuel
A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. - by Tom Mitchell.
E = the experience of playing many games of checkers
T = the task of playing checkers.
P = the probability that the program will win the next game.
In general, there are two broad classifications:
Others:
We are given a data set and already know what our correct output should look like, having a relationship between the input and output.
There are two categories of supervised learning problems:
Example:
(a) Regression - Given a picture of a person, we have to predict their age on the basis of the given picture
(b) Classification - Given a patient with a tumor, we have to predict whether the tumor is malignant or benign.
Unsupervised learning allows us to approach problems with little or no idea what out results should look like. We can derive structure from data where we don’t necessary know the effect of the variables.
We can derive this structure by clustering the data based on relationships among the variables in the data.
With unsupervised learning, there is no feedback based on the prediction results.
Example: Clustering: Take a collection of 1,000,000 different genes, and find a way to automatically group these genes into groups that are somehow similar or related by different variables, such as lifespan, location, roles, and so on.
Non-clustering: The “Cocktail Party Algorithm”, allows you to find structure in a chaotic environment. (i.e. identifying individual voices and music from a mesh of sounds at a cocktail party).
x(i)
: input variablesy(i)
: output or target variables that we are trying to predict.(x_i, y_i)
: training example(i)
: index into the training setGiven a training set, to learn a funciton h: X -> Y
so that h(x) is a good predictor for the corresponding value of y. This function is called hypothesis.
Regression problem: the target variable that we’re trying to predict is continuous. classification problem: y can take on only a small number of discrete values.
We can measure the accuracy of our hypothesis function by using a cost function.
We should try to minimize the cost funciton.
(TODO: fix style/syntax)


Photos
Brief Bio
General
Dr. Daniel Buscombe is Research Geologist at the Grand Canyon Monitoring and Research Center, an interdisciplinary research team within the U.S. Geological Survey working on regulated rivers in the Western United States, based in Flagstaff, Arizona. His own research is in sedimentology, geomorphology, geophysics, geostatistics, and scalable computation. Previously, Buscombe was a post-doctoral fellow working at the Marine Science departments at the University of Plymouth, UK, and the University of Santa Cruz, USA. The thesis topic of his PhD (University of Plymouth, 2008) concerned sediment transport and morphodynamics of macrotidal gravel beaches. Buscombe works to encourage reproducible and open research practices across in the geoscineces, and to this end develops open-source scientific computing tools, primarily in the Python programming language.
Python-focused
Daniel Buscombe is Research Geologist at the Grand Canyon Monitoring and Research Center, an interdisciplinary research team within the U.S. Geological Survey working on regulated rivers in the Western United States, based in Flagstaff, Arizona. His own research is in sedimentology, geomorphology, geophysics, geostatistics, and scalable computation. In addition, he is a maintainer and/or frequent contributor to many open source Python projects.


The CodeSonar project path.
This is used to identify analysis results for previous, related Jenkins builds. It should be set to the same CodeSonar hub project path used in your codesonar build and codesonar anaylze commands. The project path is determined by the codesonar -project option if present, or the base name of the CodeSonar project file. This field is required.


Currently a second year Mechatronics Engineering student at UOIT. Interested in developing smarter, economically and environmentally sustainable machines of the future.
I am currently developing my technical skills through both personal and school related projects including a self driving RC car, and a ROS powered rover. As for extracurriculars, I am the Junior Programming Executive for the Robotics Club.
Primary Email:
<EMAIL_ADDRESS>LinkedIn:
https://www.linkedin.com/in/abhi-patel-0
Github:
https://github.com/b33boy
Blog:
https://abhipateldotblog.wordpress.com


Start
Density
On
Off
Preset
Generate
Center
Left
Right
Every Other
Random(50%)
Random(25%)
Random(75%)
All on
All off
White
Black
Gray
Red
Blue
Green
Black
White
Gray
Red
Blue
Green
None
Rule 30
Rule 90
Rule 90 - R
Rule 110
Rule 110 - R
Rule 184 - R
Rule 184 - LR
Rule 184 - HR
Click me


This control panel allows you to change the color of a RGB LED plugged on an Arduino. It uses Johnny Five framework and Socket.io.
Source code is available on GitHub, and a full tutorial on my personal blog.
Plug your Arduino, launch the server (sudo node server.js
) and move the cursor:
Current selected color:


Multi-activity analysis for your Strava activities.
- Analyse heart rate zones across multiple activities.
- Aggregate activity metrics like distance, time and average pace.
- Easily exclude certain activities, like races or treadmill workouts.
- Merge multiple activities. (coming soon)


${latestActivity.description}
${latestComment.text}
${'remark.resolve_question' | t}
${'remark.cancel_question' | t}
${'remark.renew_question' | t}
${'remark.delete_question' | t}
${'remark.report_question' | t}


The Law Offices of Vivek David
647 409 2741
Toggle navigation
Home
About
Guide to Court
Guide to Charges
Call Me
{% block content %}{% endblock content %}


Detailed Description
LCD Introduction
This Raven LCD Driver application software was designed for a user interface to the Contiki 6LoWPAN collaboration on board the ATmega3290p. The LCD functionality uses the binary command set described in the release notes. These binary commands can also be found in a list of main.h.
Compiling Raven LCD Driver
The Raven LCD Driver is located in /platforms/avr-ravenlcd but it is not a contiki platform. $make TARGET=avr-ravenlcd will not work! Build it using the AVR Studio project and WinAVR or in Linux/Windows cmd/Cygwin $make in that directory. The AVR Studio dependency folder will confuse additional makes, use $make CYG=1 to bypass /dep creation or do $rm -R dep as needed. The .h file dependencies will be lost, so also $make CYG=1 clean after modifying any of those.
Board fuse settings
The Raven LCD (3290p device) requires the proper fuse settings to function properly. They are automatically set when flashing the .elf file. When using a .hex file set them manually:
- Raven LCD (3290p device)
- Extended: 0xFF (No Brown Out)
- High: 0x99 (JTAG and ISP enabled, No OCDEN or EEPROM saving required)
- Low: 0xE2 (Use Int RC OSC - Start-up Time:6CK + 65ms)
Operation Release Notes
After programming the Raven LCD 3290p with the proper image, you will be introduced to the menu in the picture below:
Operating the menu requires that the matching command set has been programmed into the ATmega1284 application. This will allow the menu to communicate properly and control the Contiki 6LoWPAN applcation on the 1284p.
During normal operation, you will need to make note of these IMPORTANT operating instructions:
- Temp Sensor - The temperature sensor shares the same GPIO as the JTAG interface for the 3290p. This requires the JTAG feature to be disabled in order to have proper temperature readings.
- Debug Menu - The DEBUG menu setting is used to configure this JTAG feature.
- If the JTAG feature is enabled during a temperature reading attempt, the menu will signal a caution symbol to the user letting them know the JTAG feature needs to be disabled.
- The JTAG header may also need to be physically disconnected from any external programming/debugging device in order to obtain correct temperature readings.
- The software will disable JTAG in sleep/doze modes. If the JTAG connection fails during reprogramming with AVR Studio, "try again with external reset" to recover.
- Temp Data - Once the temperature reading is proper, the user can send this reading to the webserver for Sensor Reading Data (Once or Auto). The webserver will only update the html data when refreshed.
- EXT_SUPL_SIG - This signal connects the external supply voltage to ADC2 through a divider. Enabling MEASURE_ADC2 in temp.h causes it to be sampled and sent to the 1284p along with the temperature.
More information about the operation of the Raven with Contiki can be found in the contikiwiki at http://www.sics.se/~adam/wiki/index.php/Avr_Raven.
- See also:
- http://www.sics.se/contiki/tutorials/tutorial-running-contiki-with-uipv6-and-sicslowpan-support-on-the-atmel-raven.html
Binary Command Description
Using the binary commmand list described in main.h, the 3290p will contruct a binary command serial frame to control the 1284p. An example command frame is contructed below:
- 0x01,0x01,0x81,0x01,0x04 - Send Ping Request number 1 to 1284p
- 0x01 - Start of binary command frame
- 0x01 - Length of binary command payload
- 0x81 - Binary command SEND_PING
- 0x01 - Payload value (eg. ping Request number 1)
- 0x04 - End of binary command frame
The following commands are sent to the 1284p.
- SEND_TEMP - (0x80)
- SEND_PING - (0x81)
- SEND_ADC2 - (0x82)
- SEND_SLEEP- (0x83)
- SEND_WAKE - (0x84)
The following commands are received from the 1284p.
- REPORT_PING - (0xC0)
- REPORT_PING_BEEP - (0xC1)
- REPORT_TEXT_MSG - (0xC2)
- REPORT_WAKE - (0xC3)
Sleep and Doze
- The Raven draws 27 milliamps when the 3290p and 1284p are both running and the RF230 in receive mode.
- Sleeping the 3290p and LCD display drops this to 21 ma with no loss in contiki functionality.
- The RF230 radio draws 15.5/16.5/7.8/1.5/0.02 ma in Rx/Tx/PLL_ON/TRX_OFF/SLEEP states. It is controlled by contiki on the 1284p according to the selected MAC power protocols to obtain the bulk of power savings; however the 3290p menu can tell it to sleep unconditionally or in a doze cycle.
- Unconditional SLEEP requires pushing the joystick button for wakeup. Once awake the 3290p sends SEND_WAKE commands to the 1284p until it responds with a REPORT_WAKE. "WAIT 1284p" is displayed during this time. Current draw is 40 microamps.
- As configured, doze sleeps the 3290p for 5 seconds after telling 1284p to sleep for 4 seconds. The 3290p wakes briefly to send temperature and voltage to the 1284p (which should be awake at this time), then tells it to sleep again. Thus the 1284p will be active 20% of the time, although it may ignore the command to sleep if there are active TCP connections. The 3290p energy usage is essentially zero in this mode; total savings will depend on actual 1284p wake time and radio usage. Alter the timings as desired, or comment out the 1284p sleep command to shut down only the 3290p in doze mode.


Base class for all unnamed schemas More...
Protected Member Functions | |
| UnnamedSchema (Type type, PropertyMap props) | |
| Protected Member Functions inherited from Avro.Schema | |
| Schema (Type type, PropertyMap props) | |
| Constructor for schema class More... | |
Properties | |
| override string | Name [get] |
| Properties inherited from Avro.Schema | |
| Type | Tag [get] |
| Schema type property More... | |
| abstract string | Name [get] |
| The name of this schema. If this is a named schema such as an enum, it returns the fully qualified name for the schema. For other schemas, it returns the type of the schema. More... | |
Additional Inherited Members | |
| Public Types inherited from Avro.Schema | |
| enum | Type { Null, Boolean, Int, Long, Float, Double, Bytes, String, Record, Enumeration, Array, Map, Union, Fixed, Error } |
| Enum for schema types More... | |
| Public Member Functions inherited from Avro.Schema | |
| override string | ToString () |
| Returns the canonical JSON representation of this schema. More... | |
| string | GetProperty (string key) |
| Returns the schema's custom property value given the property name More... | |
| override int | GetHashCode () |
| Hash code function More... | |
| virtual bool | CanRead (Schema writerSchema) |
| Returns true if and only if data written using writerSchema can be read using the current schema according to the Avro resolution rules. More... | |
| Static Public Member Functions inherited from Avro.Schema | |
| static Schema | Parse (string json) |
| Parses a given JSON string to create a new schema object More... | |
| static string | GetTypeString (Type type) |
| Returns symbol name for the given schema type More... | |
| Static Protected Member Functions inherited from Avro.Schema | |
| static bool | areEqual (object o1, object o2) |
| Compares two objects, null is equal to null More... | |
| static int | getHashCode (object obj) |
| Hash code helper function More... | |
Base class for all unnamed schemas


Loading...
setUpTransactionData
setUpTransactionData(Transaction *self, uint32_t lockTime, uint32_t version, void(*onErrorReceived)(Error error, char *,...)): Transaction.c
setUpTransactionData(Transaction *self, uint32_t lockTime, uint32_t version, void(*onErrorReceived)(Error error, char *,...)): Transaction.c
Searching...
No Matches


Donations are 100 % tax-deductible, limited to 50 % of adjusted gross income.
Federal identification number: 13-6209297
For further information please contact our team at giving@insead.edu.


The API Token to use when connecting to Appetize.io. Note that all apps, including those uploaded with the placeholder token, are private and secure.
The placeholder token is intended for temporary use only. Request your own at https://appetize.io/api and enter it at Jenkins → Credentials → Global credentials.


R (R Core Team 2019) package converts Intrinio (Swagger Codegen community 2020) objects and lists to dataframes.
This project has been created as part of UBC’s Master of Data Science Program. Information about the contributors can be found here. The Code of Conduct can be found here. The collaboration expectations regarding use of Github Flow can be found here.
If you were to search the web for “historical stock data”, or “financial statement data”, the results you would come across would be a variety of web applications (such as Google Finance), and maybe some PDFs of financial statements. This is fair, as there is a massive volume of stock data, and financial statements require lots of discretion (including standards followed - US companies may choose between reporting under IFRS and US GAAP). Intrinio offers solutions to this problem with an API platform that can easily be used to extract data and perform further analysis on it.
Intrinio is an excellent source to get data into the R environment to analyse data, but a problem persists that the data can’t be directly analysed from Intrinio objects. That is where rintrinio comes in. This package will offer a variety of functions that allow users to seamlessly transform Intrinio objects into dataframes. This will enable users of the data to make the most of Intrinio’s reliable and easy-to-use API platform, as well as the analysis capabilities that are available in R’s environment.
R is an object-oriented programming language, which has allowed contributors of packages to make complex data types appear simple, and overall make packages easy for users to use. R’s native dataframe object is extremely popular and widely accepted in the R ecosystem. Intrinio’s API platform for R actually has a function that is supposed to return the results as a dataframe object, but it is actually a list that is returned. This package will transform Intrinio objects into dataframes that will make this data ready for the end user to use.
To get the line coverage, run the following command line code :
Before using any functions included in this package, you must sign up for an appropriate Intrinio account. Once you have signed up for the appropriate account, you can find your API key (which is a required argument in all functions) by doing the following:
My Account
API KEYS
If you are using a free version of Intrinio for educational purposes, please note that you will only have access to the Developer Sandbox so use that API key in functions.
Please note that the Intrinio R SDK is not available via CRAN. To install, follow these steps, as outlined in the Intrinio R Documentation.
In an R console, install devtools
if it is not already installed:
Clone the Intrinio R SDK Github Repository:
Set your working directory to where you cloned the Intrinio R SDK Github Repository and install the IntrinioSDK
package via the R console:
library(rintrinio)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
# Gather Financial Statement Time Series Function
gather_financial_statement_time_series(api_key = api_key,
ticker = 'AAPL',
statement = 'balance_sheet_statement',
year = c("2018", "2019"),
period = c('Q1')) %>%
filter(type == "year" | type == "cashandequivalents")
#> Warning: Column `type` joining factors with different levels, coercing to
#> character vector
#> type fin_value fin_value.
#> 1 year 2018 2019
#> 2 cashandequivalents 2.7491e+10 4.4771e+10
# Gather Financial Statement Cross-Company Comparison Function
gather_financial_statement_company_compare(api_key = api_key,
ticker = c("AAPL", "CSCO"),
statement = "income_statement",
year = "2019",
period = "Q1") %>%
filter(name == "ticker" | name == "sgaexpense")
#> Warning: Column `name` joining factors with different levels, coercing to
#> character vector
#> name value.x value.y
#> 1 ticker AAPL CSCO
#> 2 sgaexpense 4.783e+09 2.11e+08
# Gather Stock Price Time Series Function
gather_stock_time_series(api_key = api_key,
ticker = "CSCO",
start_date = "2020-02-01",
end_date = "2020-02-05") %>%
select(date, low, high)
#> date low high
#> 1 2020-02-05 48.15 48.6000
#> 2 2020-02-04 47.11 47.7074
#> 3 2020-02-03 46.21 46.8250
# Gather Stock Returns Function
gather_stock_returns(api_key = api_key,
ticker = c("AAPL", "CSCO"),
buy_date = "2019-01-01",
sell_date = "2020-01-01")
#> Stock Buy.date Buy.price Sell.date Sell.price Return....
#> 1 AAPL 2019-01-02 155.2140 2019-12-31 292.9547 88.74
#> 2 CSCO 2019-01-02 41.4651 2019-12-31 47.6100 14.82


Auto-grade in progress. This may take several minutes if you have a large class.
Loading...
Auto-grade error: {{ this.error }}
Auto-grade successful


Nullam quis risus eget urna mollis ornare vel eu leo. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Nullam id dolor id nibh ultricies vehicula.
This line of text is meant to be treated as fine print.
The following snippet of text is rendered as bold text and this one is bold as well.
The following snippet of text is rendered as italicized text.
An abbreviation of the word attribute is attr.
Fusce dapibus, tellus ac cursus commodo, tortor mauris nibh.
Nullam id dolor id nibh ultricies vehicula ut id elit.
Etiam porta sem malesuada magna mollis euismod.
Donec ullamcorper nulla non metus auctor fringilla.
Duis mollis, est non commodo luctus, nisi erat porttitor ligula.
Maecenas sed diam eget risus varius blandit sit amet non magna.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer posuere erat a ante.
Someone famous in Source Title
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer posuere erat a ante.
Someone famous in Source Title
For example,

should be wrapped as inline.
To switch directories, type cd followed by the name of the directory.
To edit settings, press ctrl + ,
y = mx + b

Sample text here...
This text is meant to be treated as sample output from a computer program.
h1, .h1
h2, .h2
h3, .h3
h4, .h4


I've been working as a Python Developer for over 5 years, with expertise in DevOps, Cybersecurity, Microservices, Linux, Databases, Flutter, JS, and Embedded Systems.
BEng in Communications and Electronics - IPN. (2015-2020)
Aquaponics System IoT.
- Control with IoT devices programmed in C, Monitoring with a Mobile App and Cloud. - Hardware: ST MCUs / Software: C, Flutter, Python (Django) / Cloud: GCP.
- RedNet is a Python script designed to perform a wide range of networking tests, with a focus on unifying Denial of Service (DoS) testing through a simple command. This powerful tool enables comprehensive evaluations of network resilience and security.
GeoQuiz: Mexico State Identification Game with Pandas and Turtle.- In this game you can GeoQuiz is an interactive game developed using Pandas and Turtle in Python that challenges your geography skills. The objective of the game is to correctly identify and write the names of the 32 states of Mexico.


curl -LO https://storage.googleapis.com/kubernetes-release/release/v1.9.0/bin/windows/amd64/kubectl.exe
curl -LO https://storage.googleapis.com/kubernetes-release/release/v1.9.0/bin/darwin/amd64/kubectl
chmod +x /kubectl
mv /kubectl /usr/local/bin/kubectl
curl -LO https://storage.googleapis.com/kubernetes-release/release/v1.9.0/bin/linux/amd64/kubectl
chmod +x /kubectl
mv /kubectl /usr/local/bin/kubectl
cd ~/ && mkdir .kube && cd .kube && touch config
mkdir .kube
type nul > config
ssh<EMAIL_ADDRESS>(password is kubeadmin) cat /etc/kubernetes/admin.conf
kubectl cluster-info
Kubernetes master is running at https://<IP_ADDRESS>:6443
KubeDNS is running at https://<IP_ADDRESS>:6443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
The following framework consists of a pre-test, a post-test and 4 checkpoints. The answers of these will be collected and stored in a database. A time-stamp will also be collected on submission of the pre-test, post-test and 4 checkpoints. The data collected is for use in a thesis submission for Masters in Science in Applied Cyber Security, Technology University, Dublin (Blanchardstown). No personal information will be collected. You will be assigned an arbitary ID that can not identify you personally. You are free to exit the test at any point.
You must be at least 18 years old and work or be undertaking trainingin the Cyber Security field.
The techniques for exploiting vulnerabilities that are taught as part of this framework are for educational purposes only. They should not be used on a Kubernetes Cluster that you do not own or have explicit permission to test.
I have read this disclaimer and agree with the conditions.


{% extends "base.html" %} {% block title %}
Medieval catalogues > SECULAR INSTITUTIONS: Secular Colleges > Winchester College > Bequest by Michael Clive, 30 September 1501
{% endif %}23 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


Meet a partner for your best holiday
-
Based in Chicago. I love playing tennis and loud music.
-
I get my inspiration from nature and objects around me. I have a passion to colours, typography and skateboards.
-
I'm a happy person that loves cats and climbing on mountains.
-
Based in Chicago. I love playing tennis and loud music.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/visualisation.20of.20mathlib's.20git.20repo.html ---
Just for the heck of it I uploaded a gource visualisation of the development of mathlib's git repo:
https://vimeo.com/294924221
I love the way it goes crazy when the university terms finish at the end of June :-)
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Password Safe allows you to define key sequences (shortcuts) that perform specific operations in the application. This tab allows you to control and review the shortcuts, as follows.
Application Hot Key
When checked, pressing the keys in the sequence to the right will
restore Password Safe from the system tray, if minimized, or bring it to
the front, if obscured by other applications. The sequence may be
changed when the option is checked.
Program Shortcuts
To change a shortcut (or add a new one), select the
row with the action you'd like to change, then click on the 'Shortcut
Key' field fo that entry. Any key combination that you select will be
defined as the shortcut for this action. For example, to get the File
Properties dialog box to appear when Control, Alt and 'p' are pressed,
select the "File >> Properties" row, click on the 'Shortcut
Key' field, and then press the Control Alt and p key. The text
'Ctrl+Alt+P' will appear in the Shortcut Key field, and once you press
OK, the change will take effect. For more details on the keys that
can (and cannot) be defined as shortcuts, see here.
Note that you can define shortcuts where there currently are
none, as well as replacing the defaults with those of your choosing.
The shortcuts will be stored in your preference file, and will be
available the next time you start Password Safe.
If you decide to remove a shortcut or revert to the default
shortcut for a given action, just select the desired 'Shortcut Key'
field and right-click. A popup menu will appear, allowing you to do so.
To revert all shortcuts to their default values, click on 'Reset All Program Shortcuts'.
Database Entry Shortcuts
This table summarizes the shortcuts that are associated with specific entries in the currently opened database.
Entry-specifc shortcuts are defined in the entry's Additional tab. To edit an entry-specific shortcut, double-click on the desired row.
This will display the corresponding entry's Edit dialog box.


Tzi-Huei Lai, 賴子暉
Software Engineer / Product Manager
<EMAIL_ADDRESS>(+886) 921061301
Profile
Experienced in both product management and DevOps, and be able to look through things from different roles and perspectives. A quick learner with good sense of curiosity, and an excellent co-worker with good communication skills. Broad interests from nature science (such as physics and materials science) to art (such as classic piano performing, classic or contemporary painting, calligraphy).
Skills
- python
- python-flask
- RESTful API
- pyspark
- MySQL
- Cassandra
- Redis
- Zookeeper
- TSDB
- git
- docker
- Machine learning
Experience
- Bridgewell Incorporated (宇匯知識科技)
- Manager, Dept of Data Management Platform
Dec 2017-Current
1. Leader of a start-up product, “Data Management Platform,” with a team of 5 — 7 members.
2. As a product owner: manage requirements from stakeholders // translate the requirements into the real problems // organize brainstorming meeting for the given the challenges // list all possible solutions with pro/cons // Responsible for the final decisions and the future roadmap // project management.
3. As a tech lead: build up team culture // people management // recruitment // code design review // product devops.
- Bridgewell Incorporated (宇匯知識科技)
- Researcher, Dept of Research
Aug 2014-Jul 2017
1. Optimized machine learning models, including click-through rate (CTR) of digital banner ads
and its conversion rate (CVR) prediction.
2. Optimized profit/revenue of online advertising Real Time Bidding (RTB).
3. Optimized between exploit and exploration for censored data machine learning problems.
4. Established AB test system for banner ads selections.
5. Feature Selection and Engineering.
- Industrial Technology Research Institute (工業技術研究院)
- Researcher, Dept of Mechanical Engineering
May 2013-Aug 2014
1. Experimental research on low temperature solder (materials and production process).
2. Experimental research on 3D MID technology.
3. Experimental research on additive manufacturing of metal alloys.
Education
- Ph.D. in Materials Science and Metalluryg
- Clare College, University of Cambridge, UK
Oct 2008-Dec 2012
- Mphil in Micro- and Nano-Technology Enterprise
- Girton College, University of Cambridge, UK
Oct 2007-Jun 2008
- Msc in Physics
- National Taiwan University
Sep 2003-Jul 2005
- Bsc in Physics
- National Taiwan University
Sep 1999-Jul 2003
Honours and Awards
- Award of Outstanding Employees (優秀員工獎)
- Bridgewell Incorporation
2016
for the contibution in establishing the control experiment system for the creative selections of the online banner ads.
- Prize of Excellent (佳作), 2014 ITRI Innovation Competition
- Dept of Mechanical Engineering, Industrial Technology Research Institute
2014
for the idea of share umbrella system.
- 2nd Prize, Outstanding Research Award (傑出研究獎)
- Industrial Technology Research Institute
2014
for the contribution of the development for the 3D-MID technology.
- Music Scholar
- Girton College, University of Cambridge
2008
for winning the piano competition.
Tzi-Huei Lai —<EMAIL_ADDRESS>— (+886) 921061301


angular-cli
)
Install ng-select
with npm or yarn:
or:
Import the SelectModule
into your application module:
Add ng-select
to a component template:
Define the list of options in the corresponding component class:
Consult the documentation page for available properties, events, and methods. And have a look at the examples.


This is open-source platform for cisco product.
We hope your success story using programmability with cisco products.
Enjoy Cisco!
Contact us
Woo-Hyung Choi : whchoi AT cisco.com
Hyung-Soo Kim : hyungsok AT cisco.com
Hye-Churn Jang : hyjang AT cisco.com


Is it possible to enable this? I just visted "my account" and see the missed messages.
BrainFooLong
Administrator
No, not possible at the moment.
You actually have the number counter beside your "my account". If you see a yellow number you have new messages. So, keep your eye on this.


I take pride in my work, and it shows. Even though this is just the beginning for me, I have big plans for my future in software development.
My Git repositories are from my intensive training program with Interapt Skills. Focusing on iOS development using Swift 4, Xcode 10, and iOS 12. Also web development using HTML5, CSS3, and JavaScript.
In the Trivia Game App I implemented;
In the Weather App I implemented;
In the Task Manager App I implemented;


--- layout: default title: Introduction to Dr. Hui Chen ---
My Name is Hui Chen, now a research assistant in Louisiana State University.


--- layout: default.html title: Welcome to my blog --- {% for component in collections.components %} {{ component.data.title }} {% endfor %}


Reddit is a huge social-media site where within communities of "sub-reddits", people with like-minded hobbies, traits, thoughts, etc. can dicuss anything to do with that. Each "sub-reddit" is specified to something or other that brings people interested in whatever that may be together to discuss and appreciate that together.


X
Home
News
Daily Tasks
Weather
☰
Plan Surfing
Quote Of The Day
Get New Quote
News
Daily Tasks
Weather
Search


For Fall 2021, we are currently looking for people in the following roles:
If you are interested in keeping the community informed about our organization's shenanigans and are social media guru, this is the position for you!
Duties
Manage social media accounts.
Send and write a weekly newsletter and blog post.
Skills
Experience running social media campaigns on Facebook & Instagram.
Perfect position for those obsessed with aesthetics and design who want to use their skills for doing good. No previous open-source experience required.
Duties
Produce marketing materials for the organization.
Help open-source project with their design needs.
Skills
Knowledge of Adobe Design, Illustrator or similar software.
We want you for this position if you are interested in connecting our organization with the open-source community at large.
Duties
Skills
Being good at socializing and networking.
Help us build a community by organizing fun events like game nights or hackathons. No previous experience with open-source software is required.
Duties
Organize hackathons and get-togethers for members of the organization.
Come up with new events for members to know each other and have fun.
Skills
Knowing how to use Zoom and other tools for hosting remote events.
Maybe you love coding and want to contribute to open-source projects while gaining hands-on experience. If this sounds like you then you are perfect for this role.
Duties
Contribute to open-source projects aligned with you interests while learning software engineering best practices.
Participate in the open-source community by learning from your peers and helping those that need help.
Requirements
Significant programming experience or AP.
Commitment to learn new frameworks and tools.
If you've had previous experience contributing to large codebases, are passionate about coding, and are excited about leading people and teaching them all that you know, you should become a lead developer with us.
Duties
Lead a team of 2-5 people by guiding them and helping them to contribute to open-source projects.
Contact professors, engineers and other members of the community to provide tutorials for relevant tools.
Technical Requirements
Knowledge of the subject that your team would work on.
Extensive programming experience.
Previous experience working with open-source projects or large codebases.
If you are a meticulous leader experienced with managing technical teams with an eye for detail, consider being a Project Manager!
Duties
Reaching out to organizations for issues and open source projects to work on
Defining project goals, prerequisites and assessing possible technical difficulties
Overlooking 2-3 projects
Technical Requirements
Experience in the industry (jobs/internships) or experience contributing to open source projects
Mentor/Leadership role in the past
If these roles look like a good fit for you, please send us an application or contact us to learn more!
Copyright © All rights reserved | Colorlib


EBD - Easton Bible DIctionary
Paran
PARAN
"PARAN", MOUNT probably the hilly region or upland wilderness on the north of the desert of Paran forming the southern boundary of the Promised Land (
Deuteronomy 33:2
;
Habakkuk 3:3
).
"PARAN", MOUNT probably the hilly region or upland wilderness on the north of the desert of Paran forming the southern boundary of the Promised Land (Deuteronomy 33:2; Habakkuk 3:3).


m.sync
This method takes a list of promises and returns a promise that resolves when all promises in the input list have resolved. See m.deferred
for more information on promises.
Usage
var greetAsync = function(delay) {
var deferred = m.deferred();
setTimeout(function() {
deferred.resolve("hello");
}, delay);
return deferred.promise;
};
m.sync([
greetAsync(1000),
greetAsync(1500)
]).then(function(args) {
console.log(args); // ["hello", "hello"]
});
Signature
Promise sync(Array<Promise> promises)
where:
Promise :: GetterSetter { Promise then(any successCallback(any value), any errorCallback(any value)) }
GetterSetter :: any getterSetter([any value])
Array
promises A list of promises to synchronize
return Promise promise
The promise of the deferred object that is resolved when all input promises have been resolved
The callbacks for this promise receive as a parameter an Array containing the values of all the input promises


Information about the # gene:
Start of the gene: @
End of the gene: $
Length of the gene's sequence: *
Id of the gene: %
Chromosome it belongs to: ?
Go back to main page


Distributes Gaussian process calculations across nodes in a distributed memory setting, using Rmpi. The bigGP class provides high-level methods for maximum likelihood with normal data, prediction, calculation of uncertainty (i.e., posterior covariance calculations), and simulation of realizations. In addition, bigGP provides an API for basic matrix calculations with distributed covariance matrices, including Cholesky decomposition, back/forwardsolve, crossproduct, and matrix multiplication.
| Version: | 0.1-6 |
| Depends: | R (≥ 3.0.0), Rmpi (≥ 0.6-2), methods |
| Suggests: | rlecuyer, fields |
| OS_type: | unix |
| Published: | 2015-07-08 |
| Author: | Christopher Paciorek [aut, cre], Benjamin Lipshitz [aut], Prabhat [ctb], Cari Kaufman [ctb], Tina Zhuo [ctb], Rollin Thomas [ctb] |
| Maintainer: | Christopher Paciorek <paciorek at stat.berkeley.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.jstatsoft.org/v63/i10/ |
| NeedsCompilation: | yes |
| SystemRequirements: | OpenMPI or MPICH2 |
| Citation: | bigGP citation info |
| Materials: | README NEWS INSTALL |
| CRAN checks: | bigGP results |
| Reference manual: | bigGP.pdf |
| Package source: | bigGP_0.1-6.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | bigGP archive |
Please use the canonical form https://CRAN.R-project.org/package=bigGP to link to this page.


{% load static menu_tags i18n wagtailimages_tags home_tags %}
{% get_current_language as LANGUAGE_CODE %}
{% get_language_info for LANGUAGE_CODE as lang %}
{% get_available_languages as LANGUAGES %}
{% get_language_info_list for LANGUAGES as languages %}


NEW
View changelog
Capture your screen
An open-source screen recorder built with web technology
Get App


See an over view of tools from the spatial statistics team
Tool Overview
Space Time Pattern Mining toolbox
The Space Time Pattern Mining toolbox contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset that can be helpful for visualizing the data stored in the space-time netCDF cube in both 2D and 3D and filling missing values in your data prior to cube creation.
| Tool | Description |
|---|---|
| Create Space Time Cube By Aggregating Points | Summarizes a set of points into a netCDF data structure by aggregating them into space-time bins. Within each bin, the points are counted and specified attributes are aggregated. For all bin locations, the trend for counts and summarized attributes are evaluated. |
| Create Space Time Cube From Defined Locations | Creates a netCDF data structure from panel data, station data, or other data where the locations are fixed and attributes change over time. For all locations, the trends for attributes are evaluated. |
| Emerging Hot Spot Analysis | Identifies trends in the clustering of point counts or attributes in a netCDF space-time cube. Categories include new, consecutive, intensifying, persistent, diminishing, sporadic, oscillating, and historical hot and cold spots. |
| Local Outlier Analysis | Identifies statistically significant clusters of high or low values as well as outliers that have values that are statistically different than their neighbors in space and time. |
| Toolset | Description |
|---|---|
| Utilities toolset | This toolset contains tools for visualizing the variables stored in a netCDF cube. |
Spatial Statistics toolbox
The Spatial Statistics toolbox contains statistical tools for analyzing spatial distributions, patterns, processes, and relationships. While there may be similarities between spatial and nonspatial (traditional) statistics in terms of concepts and objectives, spatial statistics are unique in that they were developed specifically for use with geographic data. Unlike traditional nonspatial statistical methods, they incorporate space (proximity, area, connectivity, and/or other spatial relationships) directly into their mathematics.
| Toolset | Description |
|---|---|
| Analyzing Patterns | These tools evaluate if features, or the values associated with features, form a clustered, dispersed, or random spatial pattern. |
| Mapping Clusters | These tools may be used to identify statistically significant hot spots, cold spots, or spatial outliers. There are also tools to identify or group features with similar characteristics. |
| Measuring Geographic Distributions | These tools address questions such as Where’s the center? What’s the shape and orientation? How dispersed are the features? |
| Modeling Spatial Relationships | These tools model data relationships using regression analyses or construct spatial weights matrices. |
| Utilities | These utility tools perform a variety of miscellaneous functions: computing areas, assessing minimum distances, exporting variables and geometry, converting spatial weights files, and collecting coincident points. |


|
MB2D
2D MonoGame-based Engine
|
Classes | |
| class | Command |
| Executes an action associated with a specific key More... | |
| class | ConsoleCommand |
| Shows or hides the debug console More... | |
| class | InputMap |
| Maps commands to keys and trigger types More... | |
| class | IOUtil |
| Utility methods for working with the keyboard and mouse | |
| class | MoveBackward |
| Moves an entity backward. Only runs on entities with a physics component More... | |
| class | MoveDown |
| Moves an entity down More... | |
| class | MoveForward |
| Moves an entity forward. Only runs on entities with a physics component More... | |
| class | MoveLeft |
| Moves an entity left. More... | |
| class | MoveRight |
| Moves an entity right More... | |
| class | MoveUp |
| Moves a player controller up More... | |
| class | RotateLeft |
| Rotates an entity left More... | |
| class | RotateRight |
| Rotates an entity right More... | |
| class | TextInputHandler |
Enumerations | |
| enum | CommandType { CommandType.Hold, CommandType.Trigger } |
| Represents either a trigger or hold command type More... | |
|
strong |


« CSS « CSS Reference « CSS Reference:Mozilla Extensions
The -moz-initial
CSS keyword is a Mozilla implementation of CSS3 initial
. Applies the initial value of a property to an element.
-moz-initial
(initial
) is allowed on every CSS property. It causes the element for which it is specified to use the initial value of the property.
/* give headers a green border */ h2 { border: medium solid green } /* but make those in the sidebar use the value of the "color" property */ #sidebar h2 { border-color: -moz-initial; border-color: initial; }

 this text is red  this text is in the initial color (e.g. black)  this is red again

| Browser | Lowest version | Support of |
|---|---|---|
| Internet Explorer | --- | --- |
| Firefox (Gecko) | 1.0-3.0 (1.0-1.9) [*] | -moz-initial |
| Opera | --- | --- |
| Safari (WebKit) | 1.2 (125) | initial |
[*] Increasing support in each version, almost complete in Firefox 3.0
quotes
since Firefox 3.5 (Gecko 1.9.1)-moz-border-*-colors
since Firefox 3.6 (Gecko 1.9.2)| Specification | Status | Comment |
|---|---|---|
| CSS Values and Units Level 3 | Working Draft | Defines the keyword |
| CSS Cascade And Inheritance Level 3 | Working Draft | Defines what an initial value is |


I have had the opportunity to use and abuse many drugs out there, including street and pharmaceutical drugs. Basically, the only drugs I haven't done are Ecstasy, Lsd, and Heroin. When it comes to drugs I take high doses, frequently. I have a very addictive personality. Anyhow, I want to share a little bit about my first times using Salvia. I ordered a gram of 10x off the internet. I was planning to trip while my friend J was with me. For various reasons he couldn't make it over. Even though I have read many trip reports about Salvia and how important it is to have a trip sitter, I blatantly ignored this because I was too eager to try it.
Well, I wasn't too sure about the dose, never having smoked it before.  I took 2 big hits holding the first for roughly 30 seconds, and the second for 20-25. I had to blow out the smoke because the trip had already started and I was nervous that I was going to make myself pass out like I wouldn't be able to tell when it was really time to breathe oxygen.
All of a sudden I was catapulted into an odd state. I was stoned as hell, and this gravitational force was pulling me straight down in front of me to the floor. It was an immense force. I have never felt anything like this before. Absolutely intense. Too intense to handle. I was feeling scared and I have never been scared on a drug before. I was completely overwhelmed. I picked up a cigarette to smoke to help combat the stress, but then thought that in my uncoordinated state lighting something would end up disastrous so I set the cig down.
I wasn't really sweating in real life, so I am assuming my body temperature was at a normal level. However, I felt like I was on fire. My body was burning up at 300 degrees. My whole body was prickly where my shirt touched my skin, and my arm pits felt dry much like sand was in between them. I felt really dizzy, but not sick. The gravitational poll was so strong that it started to pull me to the ground. It wasn't like I was falling over; it was like it was actually pulling me to the ground.
The best way for me to describe this gravitational pull would be to think of two very, very, very strong magnets. You know when you try to push the magnets together and they have this huge force pushing them apart that you feel in your fingers? That is the same type of feeling as the gravitational pull. Anyway, I wasn't quite panicking, but I was close to doing so. I mumbled out-loud in a slightly coherent yet ill sounding voice 'I prayed to God that this trip would be good'.
Now I was panicking. I was worried that my parents were going to come home any second. I started packing up all my Salvia and pipes and what-not. Well, at least trying too. The immense heat was burning me up so I took off my shirt. I started looking around seeing color patterns unlike any drug I have tried before in between objects. Like, there is this space where there is an object, and then in another dimension there is this fuzzy, slightly white translucent field. I can't really relate to you why that field is in between an object, but I can tell you that this was very real and made perfect sense at the time of the experience.
I had to get out of the garage that I was in. I walked through the open door leading outside, and ran to the gate to check if anyone was coming home in the driveway. I didn't see anyone, so I went back inside and though that I really needed to lie down. I grabbed a water from the fridge, grabbed my shirt and jacket, and walked up to my room. I tried to put all my Salvia and pipes away but no go at that so I put them back in my pockets and just rested on the floor of my room for about 5-6 minutes.
Hah, I wish I could say that laying there was serene, but it wasn't:-0 After resting, with the effects diminished greatly but not gone, I got up and was able to put away my contraband.  I then started repeating the words intense and laughing very hard. Almost in glee that I had experienced something as amazingly hardcore as Salvia. I won't get into the philosophical and speculative aspect of my first experience, but I can say that I was so scared shitless by it that I swore I would never do Salvia again.
I lied.
That same day, granted hours later, I went over to my friend's house. I did something I usually have the tendency to do to my friends, I began peer-pressuring them into trying Salvia. We took off in the car and went to this dirt path that faces the stars. Primo Marijuana smoking spot, only this time Sally-D. I packed a small bowl this time hoping that I had a better experience. I took my hit and held it for 30 seconds. This time, with my friends there I had no fear or panic. I didn't feel the gravitational pull gripping me to death. I was just pleasantly stoned out of my mind. This time a very positive experience, only no expanding my mind going on.
I packed a bowl for my friend D, and he took a decent size rip. HAHAH, success, he was so out of it! He was saying stuff like 'What are we supposed to be doing?' and 'Wow'.  It was great! He busted up laughing and I couldn't help myself from laughing just as hard as him. Then my sober friend J in the car started laughing like crazy going 'Yes, it works, it works'.
I finished off D's bowl once again feeling stoned out of my mind. The hilarious laughing continued for 2 minutes straight. D then got out of the car saying a lot of stuff I can't remember, but obviously having a good time. He sort of came down a bit, however just as hyped up and giggly as before. He said 'Man, I didn't even know who I was' and 'Look at those [lights on the car]'. My friend J who was a bit reluctant to try Salvia at first because of my first bad experience, but now had a strong desire to do it after seeing how we were acting when we did it took his hit. He got decently stoned and just closed his eyes enjoying the ride. I went home and smoked some Crystal Meth, but that's another story;-)
Now that I was home I took my Ambien (20 mg.) and waited for it to kick in. By this point, my gram of Salvia was almost gone. I only had enough to top off my small metal pipe to the brim. This time, now that I was alone again, I made sure something’s were different than before. I wasn't anxious like the first time, thanks to the Ambien in part, and I wasn't going to smoke in the garage anymore. I went to my front porch and sat down next to the garden. I feel really comfortable in this area as that is where I did 5.5 g. of mushrooms for first time, and had a blast, mind you. One thing was still lingering in the back of my mind though. I was alone.
I took my hits and instantly started tripping hardcore. I still didn't feel the gravitational poll, which is a good thing, but I thought to myself. I'm alone. No one is here enjoying this moment with me. The sadness crept in. It didn't get far though! I started hearing voices and sentences and fragments in my head. The plants by me were talking to me! All of the communicating was done telepathically, but it was still just as real to me as a normal conversation.
I'm fairly sure the Ambien was to blame for the communication with the plants as it can cause audio hallucinations. Anyhow, I had friends with me once again! The plants were there for me. They were definitely good entities. I talked with each plant, all of them eager and very positive. This went on for quite some time, until I started to come down. I realized that my conversations with the plants was not real, however I kept hearing the voices in my head. I tried to pay attention to what was being said, but either it was gibberish and being blocked by my brain, or I just forget what was being said. This was a truly warm-hearted experience. Completely un-frightening and full of love and respect from nature. I'll hang out with those plants any day. Hey, when I did shrooms there for the first time I almost hugged a rosebush. I came completely down, and hit the sack (the bed, not Weed silly).
In conclusion, Salvia is a very powerful substance. It has taken my mortality for granted. I'm not invincible and fearless, but I do have a soft and lonely side that is easily scared. Even though I did not experience a female presence like so many people have before, this plant has still taught me much despite not having a formal teacher entity guiding me.
This last experience, along with previous drug experiences (mainly this one though), has given me an utmost respect for nature and plants in general. They have much to say if you listen. Most plants, except for maybe Salvia (although it depends on the person doing it), are generally good spirited in nature. Despite the amazingly good and bad trips Sally-D has given me, I am still waiting for Her to show me something absolutely profound. Teach me something that I didn't know about myself, reality, thoughts, human nature, or spirituality. I await the true visual hallucinations you have the power to traverse upon me.
Love this plant and it will, generally speaking, love you back.
My gram is gone, but my faith goes on.
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.


Abazibu, ha!...their origins are mysterious. But history has it that they originated from St. Joseph's Vocational School, Mbarara around the year of Our Lord 2002. They rose from oblivion to become the talk of the school. By the end of their reign, they had left an indelible mark. The UCE results of their candidate year (2003) are the best ever in the history of the school...More
Mugumire James Brian
This is his second term in office, He is a telecom engineer by profession...
moreAbazibu understand that money is an important part of our lives, and so we save...More
A muzibu's wellbeing is that the core of the Abazibu, so we run the Abazibu Social Fund... More
Work without play makes Jack a dull boy, so we play...More
Building a strong social bond with each other is something we take seriously...More
We love to listen to people's experiences...More
And of course, annual dinners are organized...More
Uganda
Phone: +256-782-231-039
Email<EMAIL_ADDRESS>Drop us a line


---
title: ProCo
layout: default
custom_css: proco
---
ProCo is a computer programming contest for high school students in the style of the college-level ACM-ICPC.
ProCo aims to provide a fun and engaging opportunity for high school students in the Bay Area to explore their
passion in computer science. Interested?
Sign up on our mailing list
to keep up to date on ProCo news. ProCo is hosted by Stanford ACM. The contest will happen on March 5, 2022. Registration has closed. Students compete in teams of up to three to compete in solving algorithmic problems. The contest will last 3 hours and consist of 9 - 15 unweighted problems. The contest is also split between two separate divisions: Novice and Advanced. The problem set will be shared for both divisions, however, final team placements and prizes will be determined within each division. For full rules and more detailed information, see our ProCo info page. Citadel: Citadel and Citadel Securities, two of the leading firms within the financial services industry, are proud to be a sponsoring partner of Stanford's 2022 ProCo content. We recruit software engineers, quantiative researchers, and investment and trading professionals into internship and new grad positions from campuses such as Stanford and more broadly across the U.S. For ProCo, we will be offering Citadel swag bags to every programmer and top performers will be competiting for exciting branded prizes across both Division 1 and Division 2! See below for more information about us, including details on our Discover Citadel insight progam – an exclusive opportunity for select freshman and sophomores to visit our offices, network with our employees and other partcipants, and get an exlusive, in-depth look at all our offerings. Amber was developed at LatticeWork by leading experts in cloud and data storage technologies. Founded in 2014 by Dr. Pantas Sutardja, Co-Founder & former CTO of Marvell Technology Group - a global leader in digital storage technologies, LatticeWork is uniquely positioned to be a transformational leader for edge computing data storage technology with the world's first Personal Hybrid Cloud Storage Platform. LatticeWork is proud to be a sponsor for Stanford ACM’s 2022 ProCo event. We are offering participants special promo code: ACMPROCO20 for 20% discount on all Amber products at www.myamberlife.com.ProCo
About ProCo
Sponsors
Q: How much programming experience do I need to compete?
A: Most competitors will have had at least one year of programming experience. You will need to know how to manipulate integers, strings and arrays. It is not necessary to know advanced data structures (lists, sets, maps, stacks, queues, trees), though you may find this knowledge helpful. If we introduce a concept that you are not expected to know, we will explain it thoroughly in the problem description.
Q: What division should I be in?
A: The Novice division is designed for first-timers and competitors with less than two years of programming experience. The Advanced division is designed for returning competitors and competitors with at least two years of programming experience, or who have previously competed in ProCo.
Q: Is there an advantage to coding in a particular language?
A: No. Each language has pros and cons, and you should choose the language you are most comfortable with. In general, we have written the problems carefully so that language-specific features will not give anyone an unfair advantage.
Q: How will input and output work with my IDE?
A: This depends on the language and software package you're using.
Q: Will all the input be in one terminal entry, or will each line be separate?
A: Each problem has its own input format. For some problems, the input will be a single integer, for other problems, the input will consist of multiple lines. We have designed the problems such that parsing the input will be as simple as possible.
Q: Will my travel expenses be reimbursed?
A: Since this year’s contest is online, there are no travel expenses.
Q: What if I forget to submit the ProCo Participant Waiver Form before the day of the contest?
A: Unfortunately, due to liability issues, you will not be able to participate in the contest. Don't forget!
Q: Can international students participate?
A: International students are welcome but are not eligible for swag.


This bibliography provides a list of publications that might be useful to the Intel ® Computer Vision Library users. This list is not complete; it serves only as a starting point.
[Borgefors86] Gunilla Borgefors. Distance Transformations in Digital Images. Computer Vision, Graphics and Image Processing 34, 344-371 (1986).
[Bradski00] G. Bradski and J. Davis. Motion Segmentation and Pose Recognition with Motion History Gradients. IEEE WACV'00, 2000.
[Burt81] P. J. Burt, T. H. Hong, A. Rosenfeld. Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation. IEEE Tran. On SMC, Vol. 11, N.12, 1981, pp. 802-809.
[Canny86] J. Canny. A Computational Approach to Edge Detection, IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6), pp. 679-698 (1986).
[Davis97] J. Davis and Bobick. The Representation and Recognition of Action Using Temporal Templates. MIT Media Lab Technical Report 402, 1997.
[DeMenthon92] Daniel F. DeMenthon and Larry S. Davis. Model-Based Object Pose in 25 Lines of Code. In Proceedings of ECCV '92, pp. 335-343, 1992.
[Fitzgibbon95] Andrew W. Fitzgibbon, R.B.Fisher. A Buyer's Guide to Conic Fitting. Proc.5th British Machine Vision Conference, Birmingham, pp. 513-522, 1995.
[Horn81] Berthold K.P. Horn and Brian G. Schunck. Determining Optical Flow. Artificial Intelligence, 17, pp. 185-203, 1981.
[Hu62] M. Hu. Visual Pattern Recognition by Moment Invariants, IRE Transactions on Information Theory, 8:2, pp. 179-187, 1962.
[Jahne97] B. Jahne. Digital Image Processing. Springer, New York, 1997.
[Kass88] M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active Contour Models, International Journal of Computer Vision, pp. 321-331, 1988.
[Matas98] J.Matas, C.Galambos, J.Kittler. Progressive Probabilistic Hough Transform. British Machine Vision Conference, 1998.
[Rosenfeld73] A. Rosenfeld and E. Johnston. Angle Detection on Digital Curves. IEEE Trans. Computers, 22:875-878, 1973.
[RubnerJan98] Y. Rubner. C. Tomasi, L.J. Guibas. Metrics for Distributions with Applications to Image Databases. Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India, January 1998, pp. 59-66.
[RubnerSept98] Y. Rubner. C. Tomasi, L.J. Guibas. The Earth Mover's Distance as a Metric for Image Retrieval. Technical Report STAN-CS-TN-98-86, Department of Computer Science, Stanford University, September 1998.
[RubnerOct98] Y. Rubner. C. Tomasi. Texture Metrics. Proceeding of the IEEE International Conference on Systems, Man, and Cybernetics, San-Diego, CA, October 1998, pp. 4601-4607. http://robotics.stanford.edu/~rubner/publications.html
[Serra82] J. Serra. Image Analysis and Mathematical Morphology. Academic Press, 1982.
[Schiele00] Bernt Schiele and James L. Crowley. Recognition without Correspondence Using Multidimensional Receptive Field Histograms. In International Journal of Computer Vision 36 (1), pp. 31-50, January 2000.
[Suzuki85] S. Suzuki, K. Abe. Topological Structural Analysis of Digital Binary Images by Border Following. CVGIP, v.30, n.1. 1985, pp. 32-46.
[Teh89] C.H. Teh, R.T. Chin. On the Detection of Dominant Points on Digital Curves. - IEEE Tr. PAMI, 1989, v.11, No.8, p. 859-872.
[Trucco98] Emanuele Trucco, Alessandro Verri. Introductory Techniques for 3-D Computer Vision. Prentice Hall, Inc., 1998.
[Williams92] D. J. Williams and M. Shah. A Fast Algorithm for Active Contours and Curvature Estimation. CVGIP: Image Understanding, Vol. 55, No. 1, pp. 14-26, Jan., 1992. http://www.cs.ucf.edu/~vision/papers/shah/92/WIS92A.pdf.
[Yuille89] A.Y.Yuille, D.S.Cohen, and P.W.Hallinan. Feature Extraction from Faces Using Deformable Templates in CVPR, pp. 104-109, 1989.
[Zhang96] Z. Zhang. Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting, Image and Vision Computing Journal, 1996.
[Zhang99] Z. Zhang. Flexible Camera Calibration By Viewing a Plane From Unknown Orientations. International Conference on Computer Vision (ICCV'99), Corfu, Greece, pages 666-673, September 1999.
[Zhang00] Z. Zhang. A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330-1334, 2000.


All Classes
Client
ClientManager
Inheritance
ObjectHandler
Perl
RiveScript
StringCompare
Topic
TopicManager
Trigger
Util


RT @neilhimself: @amandapalmer how to pronounce Moleskine: http://www.moleskine.com/about_us/news/moleskine_pronounciation.php
10/9/2011, 12:48:55 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @neilhimself: @amandapalmer how to pronounce Moleskine: http://www.moleskine.com/about_us/news/moleskine_pronounciation.php
10/9/2011, 12:48:55 PM
Favs: 0
Retweets: 0
link


Here are two LaTeX documents side by side:
\documentclass[16pt]{article} \begin{document} Hello World. \texttt{homecoming} configuring components environments playground \end{document} Another.


Need advice for landing your first internship, growing your startup, or starting research on campus? Want to grow your social network or just meet awesome students? ACSU’s Mentorship Program is just for you!
Both mentors and mentees are expected to meet at least once a month for the semester unless special circumstances arise. ACSU will aid in this commitment with several mentorship socials and exciting activities for the mentorship community.
Actively participate in mentee/mentor challenges -- there will be a prize at the end of the semester for those who go far and beyond the call of duty Mentees should seek out mentors for advice concerning career plans, academic plans, and social plans. Remember, your mentors are your resources. Do not feel constrained to a single mentor but instead take advantage of the resources around you.
Mentors are expected to offer professional advice when needed and extend themselves as personal contacts to their mentees.
Do not dismiss mentees nor mentors. If a problem arises between your mentor/mentees and needs to be addressed, contact ACSU Social Team Officers.


"x" "1" "OHKUBO,T, GOTO,S, ENDO,O, HAYASHI,T, WATANABE,E AND ENDO,H,MUTAGENICITY OF CHLORINATED AROMATIC HYDROCARBONS CONTAINING OXYGEN, KANKYOKAGAKU 6(4):533-540, 1996"