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 Put this where you want the chart to show up:

This is the code that generates the chart - it should be placed AFTER the

tag:


WARNING!
Never show this piece to anyone! Never expose this QR code in public places!
UltraNote Wallet
UltraNote address for payments and messages.
Paper Wallet Generator is a tool that helps getting a UltraNote(XUN) address. After generating a wallet you can start receiving payments without installing any software.
Paper Wallet consists of two parts: Private Key and Payment Address
Payment Address is your public account number. Share it with anyone to receive payments.
Private Key is what gives you administrative access to your money. Keep it somewhere safe.
You can access your wallet by importing private key into the UltraNote desktop application. ** Don't forget to backup current wallet before importing.


The Hi-Tech Gea Standalone September 2019 Net Sales at Rs 133.60 crore, down 22.32% Y-o-Y
Reported Standalone quarterly numbers for The Hi-Tech Gears are:
Net Sales at Rs 133.60 crore in September 2019 down 22.32% from Rs. 171.98 crore in September 2018.
Quarterly Net Profit at Rs. 4.26 crore in September 2019 down 28.34% from Rs. 5.95 crore in September 2018.
EBITDA stands at Rs. 17.46 crore in September 2019 down 24.64% from Rs. 23.17 crore in September 2018.
The Hi-Tech Gea EPS has decreased to Rs. 2.27 in September 2019 from Rs. 3.20 in September 2018.
The Hi-Tech Gea shares closed at 187.45 on November 05, 2019 (NSE) and has given -30.28% returns over the last 6 months and -49.39% over the last 12 months.
| The Hi-Tech Gears | |
| Standalone Quarterly Results | in Rs. Cr. |
| Sep'19 | Jun'19 | Sep'18 | |
| Net Sales/Income from operations | 129.56 | 146.16 | 165.59 |
| Other Operating Income | 4.04 | 4.52 | 6.39 |
| Total Income From Operations | 133.60 | 150.68 | 171.98 |
| EXPENDITURE | |||
| Consumption of Raw Materials | 60.84 | 71.14 | 88.47 |
| Purchase of Traded Goods | 9.22 | 6.11 | 7.63 |
| Increase/Decrease in Stocks | -1.09 | 0.95 | -2.02 |
| Power & Fuel | -- | -- | -- |
| Employees Cost | 25.74 | 29.05 | 24.10 |
| Depreciation | 6.64 | 7.11 | 6.96 |
| Excise Duty | -- | -- | -- |
| Admin. And Selling Expenses | -- | -- | -- |
| R & D Expenses | -- | -- | -- |
| Provisions And Contingencies | -- | -- | -- |
| Exp. Capitalised | -- | -- | -- |
| Other Expenses | 23.24 | 28.08 | 36.88 |
| P/L Before Other Inc. , Int., Excpt. Items & Tax | 9.02 | 8.24 | 9.96 |
| Other Income | 1.80 | 1.72 | 6.25 |
| P/L Before Int., Excpt. Items & Tax | 10.82 | 9.96 | 16.21 |
| Interest | 6.03 | 4.87 | 4.45 |
| P/L Before Exceptional Items & Tax | 4.79 | 5.08 | 11.76 |
| Exceptional Items | -- | -- | -- |
| P/L Before Tax | 4.79 | 5.08 | 11.76 |
| Tax | 0.52 | 2.02 | 5.81 |
| P/L After Tax from Ordinary Activities | 4.26 | 3.06 | 5.95 |
| Prior Year Adjustments | -- | -- | -- |
| Extra Ordinary Items | -- | -- | -- |
| Net Profit/(Loss) For the Period | 4.26 | 3.06 | 5.95 |
| Equity Share Capital | 18.77 | 18.77 | 18.77 |
| Reserves Excluding Revaluation Reserves | -- | -- | -- |
| Equity Dividend Rate (%) | -- | -- | -- |
| EPS Before Extra Ordinary | |||
| Basic EPS | 2.27 | 1.63 | 3.20 |
| Diluted EPS | 2.27 | 1.63 | 3.20 |
| EPS After Extra Ordinary | |||
| Basic EPS | 2.27 | 1.63 | 3.20 |
| Diluted EPS | 2.27 | 1.63 | 3.20 |
| Public Share Holding | |||
| No Of Shares (Crores) | -- | -- | -- |
| Share Holding (%) | -- | -- | -- |
| Promoters and Promoter Group Shareholding | |||
| a) Pledged/Encumbered | |||
| - Number of shares (Crores) | -- | -- | -- |
| - Per. of shares (as a % of the total sh. of prom. and promoter group) | -- | -- | -- |
| - Per. of shares (as a % of the total Share Cap. of the company) | -- | -- | -- |
| b) Non-encumbered | |||
| - Number of shares (Crores) | -- | -- | -- |
| - Per. of shares (as a % of the total sh. of prom. and promoter group) | -- | -- | -- |
| - Per. of shares (as a % of the total Share Cap. of the company) | -- | -- | -- |
| Source : Dion Global Solutions Limited |


Tablet of Vision:
A huge golem appears! He's the one that was featured in the guild bulletin I got from Galadrid! I must be very careful!


topsStateMachine is used for controlling the flow of an experiment using predefined states. It is a vital component for controlling your experiment.
Lets start by simply observing it's basic behavior. First let's add some fevalables. We will use the same ones as in topsCallList details.
function CPdemotopStateMachine
hello = {@disp, 'Hello.'};
pardon = {@disp, 'Pardon me?'};
goodbye = {@disp, 'Goodbye.'};
Now we will create an object "machine" and set it to be equal to a topsStateMachine class. There is an optional string you can add, in this case it is 'traverse states', to help you keep track of what each StateMachine is doing.
machine = topsStateMachine('traverse states');
Now we will create a stateList and add our various fevalables to this stateList. The top row of our stateList is our stateFields, a brief explanation will follow the code with a more detailed explanation further down this page.
stateList = { ...
'name', 'entry', 'timeout', 'next'; ...
'first', hello, 0.1, 'second'; ...
'second', pardon, 0.1, 'third'; ...
'third', goodbye, 0.1, ''; ...
};
stateFields:
- name is a unique name to identify the state.
- entry is the fevalable cell array invoked when entering the state.
- timeout is time that may elapse before transition to the next state.
- next is the next state the machine will transition to.
Next we will add the stateList to the machine object using
function addMultipleStates(self, statesInfo)
contained within topsStateMachine
machine.addMultipleStates(stateList);
Finally, we will add some code to run the machine and transition through it's states.
clc();
machine.run();
Run your function.
In your command window, you should see "Hello." "Pardon me?" and "Goodbye."
stateFields
topsStateMachine has a number of stateFields available for use. The information here can also be found in the properties section of topsStateMachine.
stateFields = {'name', 'next', 'timeout','entry', 'input', 'exit', 'classification'};
The stateFields also have stateDefaults in their properties
stateDefaults = {'', '', 0, {}, {}, {}, []};
COMMON ERROR: If a particular state does not have an parameter for a stateField (e.g. no entry fevalable for the 'entry' stateField) , you MUST put in the stateDefault that corresponds to that stateField. However, if a stateField does not exist for a stateMachine, the defaults will automatically be applied to that state (e.g. exit does not exist in the basic example above but there is no error message). A common error is to forget to add a cell bracket or 0 to a particular state, which will throw the whole code out of alignment and is sometimes difficult to spot when stateLists get bigger. If you see this error:
Error using vertcat
Dimensions of matrices being concatenated are not consistent.
Error in YourExperiment (line x)
stateList = { ...
that is probably what has occurred.
Now we will take a more in-depth look at the various stateFields.
- name is a unique name to identify the state.
- entry is the fevalable cell array invoked when entering the state.
- timeout is time that may elapse before transition to the next state.
- next is the next state the machine will transition to.
- input is input fevalable cell array invoked after entering the state, during each call to run. If the returned value is the name of a state, transitions to that state immediately.
- exit is a fevalable cell array invoked when exiting the state
- classification topsClassification object to query after entering the state, during each call to run. If the returned output is the name of a state, transitions to that state immediately. topsClassification is another Tower of Psych class that deals with assigned spatial fields on the screen.
input Example
function CPdemoinputstate()
hello = {@disp, 'Hello.'};
pardon = {@disp, 'Pardon me?'};
goodbye = {@disp, 'Goodbye.'};
userinput = {@saysomething};
machine = topsStateMachine('traverse states');
stateList = { ...
'name', 'entry', 'timeout', 'input', 'next'; ...
'first', hello 0.1, userinput, 'second'; ...
'second', pardon, 0.1, {}, 'third'; ...
'third', goodbye, 0.1, {}, ''; ...
};
machine.addMultipleStates(stateList);
clc();
machine.run();
function out = saysomething()
out = input('','s');
As you can see, there are a few new lines included in this example.
First we added a function handle userinput that is calling the function saysomething()
userinput = {@saysomething};
In the stateList we have included the stateField 'input' and have added userinput into the appropriate field place, making sure to add empty brackets to the states 'second' and 'third.'
Finally we created the saysomething function.
function out = saysomething()
out = input('','s');
The function is simply asking for a user to enter in some text. The output is the variable out. This will then be displayed in the Command Window with the rest of the states. As mentioned above, if the output is a state name then the machine will transition to that next slide. You can try it yourself by entering 'third' (without quotation marks) when prompted. The state named 'second' will be skipped over.
It's not always necessary to create a function handle for the stateFields that are looking for fevalables. If you delete userinput from the 'first' state's 'input' stateField and replace it with {@saysomething} the machine will handle itself the same way as before.
It's important to note that although the timeout stateField is set to 0.1 seconds, the machine will not transition until an input is entered. While this gives a greater ability to control the flow of an experiment, as an experiment script grows larger the timing of the script and various moving parts may get somewhat complicated. It's important to stay aware of how the script "flows" when run.
Additional methods of topsStateMachine
The following function explanations and examples require the below code before running.
function CPdemoStateMachine()
hello = {@disp, 'Hello.'};
pardon = {@disp, 'Pardon me?'};
goodbye = {@disp, 'Goodbye.'};
userinput = {@saysomething};
machine = topsStateMachine('traverse states');
stateList = { ...
'name', 'entry', 'timeout', 'input', 'next'; ...
'first', hello 0.1, {}, 'second'; ...
'second', pardon, 0.1, {}, 'third'; ...
'third', goodbye, 0.1, {}, ''; ...
};
machine.addMultipleStates(stateList);
clc();
machine.run();
function index = addState(self, stateInfo)
This function allows you to add individual states to your StateMachine. You can add additional stateFields to this new state. If a stateField is omitted, but already exists within your stateMachine, a default value will be used. Add the following code anywhere after the machine.addMultipleStates(stateList) line of code
surprise.name = 'surprise';
surprise.next = 'third';
message = sprintf(' ---\n You found the secret state!\n ---');
surprise.entry = {@disp, message}; %You can also add a function handle here like the other states.
machine.addState(surprise);
Here we added a state with the name surprise. The stateField 'timeout' has not been included, so the default value of 0 will be used automatically. As nothing in the stateMachine currently points towards the 'surprise' state, running the stateMachine will not display the message. If you put the userinput handle into the 'input' stateField of any of the states you can enter in the name of the state 'surprise'(no quotations) and the stateMachine will transition to the new 'surprise' state. If you notice, we have surprise.next pointing to the 'third' state in your StateMachine. This means that upon completion the 'surprise' state will transition to the 'third' state. If you leave this field with empty '' marks, the StateMachine will stop running after displaying the surprise message.
function index = editStateByName(self, stateName, varargin)
This function allows you to edit the stateField parameters of a given state. The first input argument stateName is asking for the name of the state you want to edit. Using our previous machine, it could 'first','second',or 'third'. Be sure to INCLUDE the quotations marks when entering in the stateName. The second input argument allows for a variable amount of arguments to be included. It is looking for arguments that will alter the states stateField properties. The format it is looking for is (stateField, newvalueofstateField). So for example we add a new state to our stateList the "normal" way. You can use the code below.
stateList = { ...
'name', 'entry', 'timeout', 'input', 'next'; ...
'first', hello 0.1, {}, 'addition'; ...
'addition', {} 0.1, {}, 'second'; ...
'second', pardon, 0.1, {}, 'third'; ...
'third', goodbye, 0.1, {}, ''; ...
};
We added an 'addition' state to our stateList. It currently does nothing besides add a small 0.1 second delay. Now let us use the editStateByName function.
machine.editStateByName('addition', 'timeout',5)
If you add that code anywhere before the machine runs, it should work. What you will see is that there is now a 5.1 ('first' states timeout value + additions new timeout value) second delay between displaying the 'first' states message and the 'second' states message. For clarity, we will add a second change to our addition state.
machine.editStateByName('addition', 'timeout',5,'next','third')
The syntax of the second argument should follow the same syntax as the larger stateList. In this case, the 'addition' state is now pointing to the 'third' state as the state the StateMachine will transition to.
function addSharedFevalableWithName(self, fevalable, name, when)
This function allows you to add a fevalable that will be executed after either the 'entry' stateField or the 'exit' stateField for EVERY state. The structure of the input arguments are the fevalable (either a handle or a {@function, inputthefunctionneedstorun}), name for the fevalable, and when ('entry' or 'exit'). If a when argument is not given then the function will default to 'entry.'
The sample code below can be used to understand the function better.
stateList = { ...
'name', 'entry', 'timeout', 'input', 'next' 'exit'; ...
'first', hello 0.1, {@input,'','s'}, 'second', {}; ...
'second', pardon, 0.1, {}, 'third', {@input,'','s'}; ...
'third', goodbye, 0.1, {}, '', {}; ...
};
machine.addMultipleStates(stateList);
machine.addSharedFevalableWithName({@disp, 'I am executing after the entry stateField...'},'namestuff','entry');
machine.addSharedFevalableWithName({@disp,'and I am executing after the exit stateField'},'othernamestuff','exit');
clc();
machine.run();
if 's' is not included after @input, Matlab expects numeric input and text will throw up an error
If you run this code you will be able to see when the machine stops and what has already executed while it waits for your inputs. Notice that we have created a new stateField 'exit' and have included the brackets for the states that do not have any arguments in this field. addSharedFevalableWithName will execute even if these stateFields did not "exist" (as they always exist, just with default properties) above. The addition of the 'exit' stateField and the @input entry in the second state is just so you can see first hand that it addSharedFevalalbeWithname executes after the 'exit' stateField.
transitionFevalable
The transitionFevalable will execute a fevalable in-between each state. This is similar to the sharedFevalable function above. We use the same code as above with a new line added before the creation of our stateList and a new function added at the end of our script.
machine.transitionFevalable = {@transitioning}
stateList = { ...
'name', 'entry', 'timeout', 'input', 'next' 'exit'; ...
'first', hello 0.1, {}, 'second', {}; ...
'second', pardon, 0.1, {}, 'third', {}; ...
'third', goodbye, 0.1, {}, '', {}; ...
};
machine.addMultipleStates(stateList);
clc();
machine.run();
function transitioning(transitionStates)
disp(sprintf('Transitioning from %s to %s', ...
transitionStates(1).name, transitionStates(2).name));
The transitionFevalable is programmed to create a 1x2 structure array of information about the previous state and the next state. The first argument in our example, transitionStates, contains the information about the two states. We are accessing that information using built-in Matlab structure accessing syntax to get the name of the previous state and next state and displaying it in the command window. You can access any information about the states. In our case, only accessing string information (like name stateField or next stateField) will work.
Any other arguments in transitionFevalable will be passed to the function starting at the second place. For example we can have it add together an inputed number.
Change machine.transitionFevalable to
machine.transitionFevalable = {@transitioning, inputanumber};
After machine.run(); add the function
function out = inputanumber()
out = input('');
and change the transitioning function to
function transitioning(transitionstates, out)
disp(sprintf('Transitioning from %s to %s', ...
transitionstates(1).name, transitionstates(2).name))
summednumber = out + out
If you run the code with the new additions, you'll see that you are asked for some input before the first state appears. The code will just take that input, sum it with itself, and display it between each state transition.


This is ghanian calander that allows you to input some details like your birth year,your birth date and birth day and year.Our work it to calculate the day of the week you were born and then dependng on your gender output we will display your Akan Name.
Akan names are derived from Ghanian culture. Frequently in Ghana, children are given their first name as a 'day name' which corresponds to the day in the week they were born. Here are Ghanian day names.


font-family:
font-size:
font-weight:
normal
bold
max codepoint:
Test:
Actual width:
Calculated width:


4. Data - the different types¶
Data comes in different types, depending on your use case. For example, you may be analysing financial data relating to stocks, or looking at pictures your users have shared online on your app. No matter the type of data, it is your job, as a Machine Learning Engineer, to support the Data Engineers and Database Admins in your oganisation, to extract as much value out of this data as possible. This may be done by developing products, or supporting data scientists, analysts or other colleagues in the business.
4.1. Types of data¶
4.1.1. Structured Data¶
Structured data is data that has a relationship, hence is relational. This means it has a strict schema which defines the structure (properties). Below, you can see an example of a table:
Advantages of this is that it enables the data to have a structure that can be searched. However, this means that it may be difficult to change the data. For example, what if you have clients that share data with you in a variety of different ways? Having a rigid structure may mean you are unflexible to a change in demand.
4.1.2. Semi-structured Data¶
This sits between structured and unstructured data. This data uses tags to enable grouping/organisation of heirarchical data. It is where some structure exists.
This also is refered to as non-relational/NoSQL data. The structure will be described by a serialisation language - this can be used to write data, that is in memory, to something (an action e.g. read). Serialisation language examples include XML or JSON.
example of JSON:
{
"name": Abdi,
"how_awesome": 1000,
"age": Null
}
4.1.3. Unstructured data¶
There is no structure - no seriously, there is some, but it can be varied. A good example here is an image, word document or even a song/voicenote.
4.2. Transactions¶
Wait, but what about if we are dealing with data that may be connected? E.g. if our picture is of a loan application that tells us about our customer?
In this case, we are able to group many smaller tasks/operations in a transaction. The benefit a transaction provides, is that if one trigger/event changes one piece of data, then the rest of the data is also changed. Also, this means if it fails, then it is able to roll back the entire series of operations.
E.g. if you look after a platform that looks after car insurance quotes, you can make sure with a transaction that an application is not completed until after the customer is underwritten.
But Abdi, what exactly is a transaction? It basically is a logical grouping of operations on a database that execute together.
If a change to one piece of data impacts another - you should be using transactions. They follow four requirements that are known as ACID guarantees. We have a friend that will step in here, feel free to ask it more detailed question if you need more help (visit him…here ;) :-
Atomicity: guarantees that each transaction is treated as a single unit, wich can either succeed completely or fail.
Consistency: ensures a transaction can only bring the DB from one valid state to another.
Isolation: ensures that concurrent execution of transactions leaves the DB in the same state that would have been obtained if the transaction were executed sequentially.
Durability: guarantees that once a transaction has been committed, it will remain committed even in the case of a system failure.
Thanks wikipedia for the help!
A lot of the time, data engineering does feel like:
Transactional DBs, as described above, are referred to as OLTP (online transaction processing) systems. OLTP systems support:
many users
quick reads
handle large volumes of data
little downtime
handle simple and small transactions
OLAP (Online Analytical Processing) systems are the opposite. They support:
few users
long response times
more downtime
can handle large and complex transactions
As a Machine Learning Engineer, it is important to understand when each of the varies different data formats may be appropriate. Hence, it is good to ask questions, such as the following, in order to get a better understanding of your data:
how often will the data be accessed? Is it accessed by customers who want instant information, or will business users use it, who do not mind waiting a little?
Is the data read-only? Should we only allow certain users to be able to write to the DB
etc…


Does Command-T support wildcards?
-
anonymous
It's a great plugin, but I have not found anything on wildcards support in the docs. For example, ability to partially supply file name:
*File*Should*Contain*This*
will find all files that contain words File Should Contain This in that order and anything in between them.
Is this supported in Command-T currently?
-
Greg Hurrell
There is no need to use explicit wildcards as when you type:
FileShouldContainThis
it will match those chars anywhere in the path. (Note that you should include some letters from the path, not just the filename, so that you narrow down the possible result set more quickly.) In other words it is if there were implicit wildcards between each pair of letters:
*F*i*l*e*S*h*o*u*l*d*C*o*n*t*a*i*n*T*h*i*s*
And Command-T will exhaustively search for the highest-scoring way of matching that search string against all the paths in the project. This means that runs of consecutive characters will tend to score more highly, intuitively giving what you are most likely looking for.
-
anonymous
Sure, I noticed that after some use. However, because of this way of matching I usually get things that I don't want as top hit even when I type full file name.
I work on a large (over 3 million lines of code) project with over 57,000 relevant files (and up to 3 times as many build artifacts that I don't need to search), and having matches be greedy is not desirable. Also, command-T starts getting slow if CommanTMaxFiles is set over 20,000 files (I set it to 100,000 and rather extensive wildignore filter which helps but the initial scan is then much slower).
Overall very useful plugin functionality, but I'm wondering if it would benefit from even more parts written in C?
-
Greg Hurrell
However, because of this way of matching I usually get things that I don't want as top hit even when I type full file name.
You're using it wrong. On a large project you should be typing some characters from the earlier components of the path, not just in the filename. This will narrow down the search sooner more quickly and allow you to zero in on the file you want in fewer key strokes.
eg. given file
foo/bar/baz/bing/bong
, an ideal search would be "fbbbb" rather than "bong", because it will help you zero in on thebong
that you really want to open, and not some otherbong
in a different subdirectory elsewhere in the project. -
anonymous
Yes, but that does not work because the files are in the same path and have same file part names:
./a/b/c/d/e/f/TestResult.js ./a/b/c/d/e/f/TestResultEditor.js ./a/b/c/d/e/f/TestResultEditorView.js
etc. and I want say TestResultEditor one. But it's not on top no matter what I type.
Also, one of the compelling reasons to use Command-T is exactly that I don't have to remember which path the file is in. Trust me when you work on a project of this complexity and size, it becomes rather hard to know which path the file is, but I often know the file name.
-
Greg Hurrell
The entire design of the plug-in is predicated on the fact that you know where the stuff you're looking for is.
When I wrote it, there were already various plug-ins out there that do exactly what you describe (ie. "file-centric" opening of files). The whole reason I wrote Command-T was that I wasn't satisified with this approach and I wanted a way to quickly open files using a "path-centric" mentality.
Reply
This topic is now closed.


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SWITCH A film review by Dan Navarro Copyright 1996 Dan Navarro
Blake Edwards' "Switch" -- a "Message Movie" for the '90s
Have you ever wished for a modern movie that could deliver a strong, uplifting spiritual message without being boring? Once upon a time, Hollywood could accomplish that feat with ease. But in today's sex-and-sensationalism market, films with spiritual themes are mocked, patronized, or even worse, ignored. That's why Blake Edwards' 1991 comedy "Switch" (Warners-HBO Films) is such a serendipitous find: A bawdy rib-tickler with ribald humor aplenty, yet one that delivers the spiritual goods along with the comedic ones.
To be sure, the fabled Edwards raunch is intact in "Switch". The film is sexy, funny, and cheerfully vulgar, with enough Rabelaisian humor to fuel a Joe Bob Briggs special. But there is a sweetness here also, a frank admission that some things are more important than animal appetites, for example the salvation of one's soul. Against all odds, "Switch" not only delivers that message, but does it in a positive, exhilarating way that rivals the best work of Preston Struges and Frank Capra.
In "Switch"'s opening reel, a smug chauvinist named Steve (Perry King) is murdered by three women who once loved him. Steve's soul descends into purgatory, where he is informed by God that he cannot gain admission to Heaven until he atones for his many offenses against womankind. So Steve is returned to Earth for his second chance, with the admonition that he cannot enter Heaven until he finds one female who likes him. To make things tougher, the womanizing Steve is reincarnated as Amanda (Ellen Barkin), a woman with the sort of dynamite body that has been Steve's lifelong playground.
To this point, you may sense a preachy feminist tale brewing, a cinematic lecture on how women think men ought to behave. But Edwards has other fish to fry. What ensues is a comedic tour-de-force by Barkin, who is splendidly funny as a man trying to cope inside a woman's body. She wobbles shakily on stiletto heels, struggles to sit demurely in short skirts, and suffers a storm of sexual confusions when confronted with Steve's former girlfriends. Even when Amanda is with a genuinely nice guy (Jimmy Smits), she cannot warm up to him, because inside she still thinks like a man.
But the comedy is being played out against a deadly serious bass motif, the struggle for Steve/Amanda's immortal soul. Satan wants it too, and he appears to Amanda with an offer to release her from her tortured existence, if she will consent to join him forever in Hell. Horrified, she refuses. But she knows, and we know too, that her time is growing short; for after weeks of searching, she has failed to find one female who likes her in either incarnation.
In the early 1940s, Preston Sturges' seriocomedy "Sullivan's Travels" told the story of a man who is thrust into a world completely alien to his own, but a world in which he learns truths that would enrich his life forever. Frank Capra's superb "It's a Wonderful Life" (1946) used the same idea in a different way, creating an epiphany that has made that movie a perennial favorite, one of the most loved films of all time.
Unlike the Sturges and Capra heroes, "Switch"'s protagonist is no innocent, but an unrepentant heel suddenly challenged by fate to amend his miserable life. But this is precisely what makes the message even stronger. All souls are equally precious to God, are they not? Because "Switch" is a comedy, it does not seem unfair to disclose that in the end, the redeemed sinner does, indeed, gain admission to Paradise. But the resolution that triggers this happy ending is a wondrous twist, a plot element strikingly outside the standard routine of modern sex comedies. For it is nothing less than a cogent example of what is meant when people speak of the all-conquering love of God.
Edwards' deus ex machina is no heavenly puppetmaster pulling strings, but a benevolent God who helps those who help themselves. Seek and you shall find. To find that point driven home so forcefully in a '90s sex farce like "Switch" is more than surprising, it is miraculous. Sturges and Capra would have approved.
- 00 -
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Related links: index of all rec.arts.movies.reviews reviews


Shane had a good time when Mom and Dad's friend Christos visited.
Shane likes to put on his bathing suit and play with the hose and spray Maya (or anyone else he can get).
Shane went to Maryland to visit lots of family. He got to play with Cousins Justin and Eric, and see his grandmas, grandpas, great grandmas and grandpas, Uncle Jere, Auntie Amber, and Cousin Benny. He had a really good time at Alex and Mark's b'nai mitzvah party.
Shane likes to play with his camera. He was very pleased that Papa Mike put new batteries in it.
Shane is potty trained now. He likes to wear his dinosaur underpants.
Shane started preschool at the CMU Children's School. He was very excited about his first day of school.
Maya is learning how to ride Shane's Home Depot truck. Shane showed her how to work the buttons so that it makes lots of noise.
All of Shane's grandmas and grandpas came to visit for Maya's birthday. Shane helped Mom bake banana birthday cupcakes (with sprinkles on top). Shane had a good time helping Maya blow out her candles and open her presents. He especially liked helping her play with her toys.
Shane went to Long Island so Mom and Dad could go to a wedding. Yvonne came to the hotel to babysit. Shane packed his toys in his Bob the Builder Bag. He liked riding the airport choo choo.
It's getting cooler outside so Mom brought Shane's little coleus plant inside. She cut off some of the leaves and put them in water to grow roots. After some roots grew, Shane planted the little plants in pots and put them on the kitchen window sill. Shane watched Dad mow the yard for the last time this year and put the snow blade on the lawn tractor.
Shane went to see Dr. Jack the dentist. He liked getting his teeth brushed. He has been waiting for the leaves to fall down since the beginning of fall. He had a good time raking the leaves.Shane decided he wanted to be an alligator for Halloween. He wore his costume to the SCS Halloween party and he went trick-or-treating with Davis and Cole.
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Sparkle
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All copyrights belong to Jason. Contact Jason for use of the music above.
Email: jasontangsh [AT] gmail [DOT] com
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Deals with several images of a same object, constituted of different zones. Each image constitutes a variable for a given pixel. The user can interactively select different zones of an image. Then, multivariate analysis (PCA) can be run in order to characterize the different selected zones, according to the different images. Hotelling (Hotelling, 1931, <doi:10.1214/aoms/1177732979>) and Srivastava (Srivastava, 2009, <doi:10.1016/j.jmva.2006.11.002>) tests can be run to detect multivariate differences between the zones.
| Version: | 1.1 |
| Imports: | ellipse, imager, grDevices, graphics, stats, utils, agricolae |
| Published: | 2018-07-12 |
| Author: | Caroline Peltier |
| Maintainer: | Caroline Peltier <caroline.peltier at agrosupdijon.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | multifluo results |
| Reference manual: | multifluo.pdf |
| Package source: | multifluo_1.1.tar.gz |
| Windows binaries: | r-devel: multifluo_1.1.zip, r-release: multifluo_1.1.zip, r-oldrel: multifluo_1.1.zip |
| OS X binaries: | r-release: multifluo_1.1.tgz, r-oldrel: multifluo_1.1.tgz |
| Old sources: | multifluo archive |
Please use the canonical form https://CRAN.R-project.org/package=multifluo to link to this page.


Please add a business or community resource that you have used and would recommend as LGBTQ-friendly.
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To that end, entries to this list are monitored.
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Purpose: For loading and saving annotation data in a simple, easy-to-read format.
Extensions: .xls .tab
Notes: These files can be directly imported to external spreadsheet applications like Microsoft Excel.
You must make sure that you are using the same Phenote configuration when loading a file as was used to save it. For example, if you were using the "demo" configuration when you saved your data file, then you must be using the demo configuration when you try opening your data file. If, in the meantime, you have changed your configuration, you must change it back, or your data will not load correctly.
When your save annotations in tab-delimited format, the first line of the file will contain the column headings. These column headings are derived from the field names specified in the configuration file.
There is a field called "Pub" which is a free text field. This will translate to a single column in the file, with the column heading of Pub.
There is a field called "Entity" which is an ontology-based field. This will translate into two columns in the file. The column headings will take the name, Entity, and follow it with ID and Name, respectively. In this case, you'd have the column headings "Entity ID" and "Entity Name". The former will contain the ID of the term from the OBO file, and the latter will contain the TermName from the obo file. These are both placed in the file as a conveniece to read for the user.
Upon reading the file, only the ID column is used and the "Name" column is skipped over; column headings are thrown out.
Phenote can load tab-delimited files from external applications as long as they follow this format.


Location; name; maximum number of persons; equipment; telephone; notes; office; mail address
Firstname; lastname; mail adresss
title; startdate; enddate; participants; owner; confirmed; description


This FAQ has been removed. A new FAQ will appear on the SICStus webpage,
http://www.sics.se/sicstus
soon.
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Table of Contents
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--- layout: post title: Mind your own time! date: 2009-04-26 07:01:24.000000000 -07:00 type: post parent_id: '0' published: true password: '' status: publish categories: - Random Thoughts tags: [] meta: _edit_last: '1965023' author: login: paradoxofmatrix email<EMAIL_ADDRESS>display_name: paradoxofmatrix first_name: '' last_name: '' ---
I happened to read a book recently "Practicing the power of now" I was baffled by the simplicity with which the chapters had been crafted and the equal ease with which ideas were put forth. It was then when I thought of writing this blog.
Time and mind are so intertwined that it is tough to see either in isolation. What is time? if there is such a thing. How do we perceive time. Time in itself may not exist but time intervals most certainly do. We might not be able to tell what 3 am means, but we can surely tell what a day is. We can sense that few events are occurring at regular intervals. This allows us to differentiate things that are slower/faster than others, as we can compare and contrast time intervals. Starting from this ability emanates the possibility of the existence of an entity which we call time.
Mind is the memory foot print of time, as time passes it leaves its imprints on this mind disk. From this data originate anticipations which when taken together are collectively called future. Mind would know about present only when it gets recorded but by that time it is gone! that means that mind is essentially a non-entity in the current moment. Just as time vanishes as the interval thins out, similarly mind dissolves as past and future shrink to NOW. Mind exists in/and because of, past and future and is surprisingly absent in present.
It is this relatively simple but exceedingly powerful idea that the book tries to anchor in the readers minds. Its powerful because it proves to us in a very different and rather conclusive way that living one moment at a time is bound to free us from past and future.
Time in effect is not an absolute reality it is instead relative and subjective. It is a personal belonging none other than your own mind. Just as beauty lies in the eyes of the beholder, time lies in the mind of the observer


_____________ how to start ¯¯¯¯¯¯¯¯¯¯¯¯¯ First, set parameters in parameter section of main() in hex_a_hop.cpp. There is no huge reason to look at the code in .h files. If you ARE curious, I've done my best to make the code readable, so feel free to look at it. Due to the complex nature of the program and my less-than-perfect ability to make the code readable, you may still have some trouble! By the way, I use .h for no good reason. They are not header files. Then, to compile and run in terminal on Linux or macOS, you can do... g++ -O hex_a_hop.cpp ./a.out To save the results to a file, run via something like... ./a.out |tee -a 60.log For a bit more speed, compile with... g++ -O3 -fwhole-program -march=native -fno-stack-protector hex_a_hop.cpp On Linux, if you don't mind worrying about first having large downloads and making a free account, you can also use Intel System Studio's C++ compiler via... icpc -xHost hex_a_hop.cpp Note that macOS actually runs clang++ when you run g++, so, on macOS, I installed MacPorts, then did sudo port install gcc7 and I can now call g++-mp-7 to run the real g++. Even then, macOS mysteriously takes three times more time to run the code! On macOS, I can significantly speed it up by running Linux in VirtualBox, or, better yet, using a bootable Ubuntu USB to avoid macOS altogether... https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-macos This strange behavior seems to have something to do with memory speed rather than CPU speed. _____________ my goal ¯¯¯¯¯¯¯¯¯¯¯¯¯ I thought that using a computer to search for optimal solutions to the awesome open-source game called Hex-a-hop was a cool idea, so I wrote some code to do just that. The code worked great on over 75% of the levels, and their optimal solutions are provided in hex_a_hop.cpp. However, the brute force strategy I used leads to solution times that grow exponentially as levels get more complex. Many levels run in seconds, while some could take many millennia. I've done my best to speed things up, but, after trying to run all levels, many showed no progress. Since I only want algorithms that guarantee that the returned solution is optimal, there is not much I can do to fix this. Currently, I use minihop() and minilaser() to handle regions of a level map where walking around does not change the level (typically this is when walking on white tiles). This approach prevents equivalent paths through these regions from growing exponentially. My next goal will be to do a similar thing but with regions of green and blue tiles in a function called minihop2(). If I can get this to work without using up too much RAM, my final goal will be to make a code that can do both! However, I have not found the motivation in the past several years (due to diminishing returns), so I don't think minihop2() will happen, but I have provided the unfinished code here in a folder. I put six forward slashes in the code wherever code is still needed describing what still needs to be coded. I'm sure other things will need to be done or fixed once the first draft of the code is finished then tested! _____________ more info ¯¯¯¯¯¯¯¯¯¯¯¯¯ • Release date of this version: 2019 • If you find bugs or have questions, leave me a message at www.BradleyKnockel.com • This code is under the BSD license, so you can mostly do what you want with it (just make sure you give credit to me, Bradley Knockel) • I have included the file save1.dat to be used to quickly allow you to play all Hex-a-hop levels (just replace the old save1.dat !) Many thanks to... • http://hexahop.sourceforge.net/ • https://replit.com/languages/cpp


ComboTree jQuery Plugin Demos
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Multi Selection
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abstract fun currentStatus(): Single<LoadStatus<T>>
Emits the current status of this cache
The item to be emitted will be the current status as of the time of its subscription.


Move home directory if changed?
When editing an existing user, if the user's Home directory
is changed this option determines whether Webmin will try to rename
the actual home directory to the new path. This will fail if the new
directory is on a different filesystem from the old one.


git whatchanged- Display logs and changes for recent commits within the specified time frame:
git whatchanged --since="2 hours ago"- Display logs and changes for recent commits for specific files or directories:
git whatchanged path/to/file_or_directory


Recall that a dollar sign on its own is a wildcard. However, a dollar sign that is immediately followed by a word, with no whitespace in between, is a local variable. When incoming parameters have names, it becomes possible to pass them on to subqueries.
Variable names, like object names, may contain alphanumeric characters (including a limited range of international glyphs), dashes (-), and underscores (_). They are case sensitive.
| (program entry point) | |
| (descr #apple) | |
| (descr #orange) | |
| (descr #pear) | |
| (descr $Thing) | |
| %% Here, $Thing is a variable that is passed to another query. | |
| (The $Thing) looks yummy. (line) | |
| (The #apple) | The green apple |
| (The #pear) | The juicy pear |
| (The $) | That %% Here, $ is a wildcard. Its value is ignored. |
Since there is no explicit rule definition for (The #orange), the program will print:
It is also possible to print the value of a variable. In the case of objects, this will print the actual hashtag as it appears in the source code, so it is mainly useful for debugging:
| (program entry point) | |
| (descr #apple) | |
| (descr $Tag) | |
| No description for $Tag! |
This will print:
With the help of variables, we can refine the process of rule matching. Recall that when a query is made, Dialog considers every rule in program order, and attempts to match the parameters. If the match is successful, the rule body starts to execute. In case of a failure, Dialog proceeds to try the next rule in the program.
Ordinary parameter matching is a rather blunt instrument, so queries (sometimes called guard conditions) can be placed at the very beginning of a rule body to perform more sophisticated checks. If the guard condition succeeds, the rule applies, otherwise the search continues. Here is a very simplistic approach to world modelling:
| %% A rule with a blank body will succeed (assuming the parameters match). | |
| %% The (fruit $) predicate will succeed for #apple and #orange, but fail for | |
| %% anything else. | |
| (fruit #apple) | |
| (fruit #orange) | |
| (descr #door) | The oaken door is oaken. |
| (descr $Obj) | (fruit $Obj) Yummy! |
| (descr $) | It seems harmless. |
| (program entry point) | |
| Apple: (descr #apple) (line) | |
| Door: (descr #door) (line) | |
| Pencil: (descr #pencil) (line) |
The output is:
The scope of a local variable is limited to the rule in which it appears.
So far, we have seen one kind of value: the object. There are three more kinds of value in the Dialog programming language: Number, dictionary word, and list.
A number is a non-negative integer in the range 0–16383 inclusive. The printed representation of a number is always in decimal form, with no unnecessary leading zeros. Numbers that appear in the source code must also adhere to this format: For instance, 007 in the source code is regarded as a word of text. This makes a difference inside rule heads and queries, where 007 would be considered part of the predicate name, and not a parameter.
While objects represent elements of the game world, dictionary words represent words typed by the player. Dictionary words are prefixed with @ instead of #. Unlike object names, they are case-insensitive.
A dictionary word is internally separated into two parts: an essential part at the beginning of the word, and an optional part at the end. When two dictionary words are compared to each other, only the essential part is considered.
Usually, the optional part is blank. However, on the Z-machine, long dictionary words are split according to an internal, low-level dictionary format. This usually means that the first nine letters of the word are essential, while the rest are optional. For instance, @northeast and @NorthEastern are considered to be the same value. Non-alphabetical characters require multiple slots of storage in the Z-machine, so that e.g. @north-east is considered the same as @north-ea.
The printed representation of a dictionary word is the essential part followed by the optional part. No @ prefix is printed, and there is usually no visible seam between the two parts of the word. However, during tracing, dictionary words are displayed with a plus sign (+) separating the essential part from the optional part.
Dictionary words may contain any characters supported by the underlying platform, e.g. the ZSCII character set in the case of the Z-machine. Special characters such as parentheses are allowed, but they must be escaped by a backslash:
| @\( |
Dictionary words are case insensitive as a general rule, but the compiler may have limited support for case conversion of international characters.
A list is an ordered sequence of values. Lists are enclosed in square brackets in the source code:
| (program entry point) | |
| This is a list containing three integers: [1 2 3] | |
| This is an empty list: [] | |
| A list may contain values of different kinds: [@hello #world [2 3] 4] |
In the final expression above, the third element of the list is itself a list, containing the two values 2 and 3.
When a dictionary word appears inside a list, it is possible (and recommended) to omit the @ character.
Printing a list is possible, and highly useful during debugging. The program:
| (program entry point) | |
| Have a look at [#this inscrutable list]! |
will print out:
In addition to the four kinds of value we have seen (object, dictionary word, number, and list), there is a fifth kind, which is more of a pseudo-value: the unbound variable. If a local variable appears in a rule body without first being mentioned in the rule head, for instance, it will be unbound. Unbound variables are allowed wherever values are allowed. They can appear as parameters to queries, and even inside lists.
The wildcard that we saw earlier ($) is in fact an unbound variable, although it also has the special property of being anonymous: Two instances of $ do not refer to the same variable.
The printed representation of an unbound variable is always $, regardless of its name.
| (program entry point) | |
| This list contains an unbound variable: [one $Two three] |
The output is:
At the heart of Dialog is a mechanism called unification. This is an operation that takes two values, and ensures that they are the same afterwards. If this cannot be done, the operation fails.
Unification is provided by a built-in predicate in Dialog, with the signature ($ = $). The equals sign has no special properties; it is treated as a regular word.
Two identical values, e.g. #apple and #apple, unify successfully. Two values that differ, e.g. #apple and #orange, do not unify, so the operation fails. Thus, unification can be used to check for equality:
| (program entry point) | |
| (#apple = #apple) | |
| This text will be printed. | |
| (#apple = #orange) | |
| This will not, because the rule has failed by now. |
An unbound variable successfully unifies with any value, but this also has the effect of binding the variable to that value. Thus:
| (program entry point) | |
| ($X = #apples) | |
| (#oranges = $Y) | |
| I like $X and $Y. |
will print:
Observe that the same operation that was used to check for equality can be used for assignment. It is also symmetrical: The unbound variable can appear either to the left or to the right of the equals sign.
But once the variable is bound, it sticks to that value:
| (program entry point) | |
| ($X = #apples) | |
| I like $X | |
| ($X = #oranges) | |
| and $X. |
will print:
and then the second unification fails, because $X resolves to #apples, which is different from #oranges. As a result, the top-level predicate of this example fails, and the program terminates.
Two lists unify if their elements unify, at each and every position. This may have the side-effect of binding unbound variables inside the lists. Consider:
| (program entry point) | |
| ($X = [#apples #pears $]) | |
| ($X = [$ #pears #oranges]) | |
| I like $X. |
The first unification operation will bind $X to the list [#apples #pears $], the last element of which is an anonymous unbound variable. The second unification operation will attempt to unify that list with another list, [$ #pears #oranges]. This will succeed, and by now three bindings are in place: The first anonymous variable is bound to #oranges, the second anonymous variable is bound to #apples, and $X is bound to [#apples #pears #oranges]. The output of the program is:
Finally, it is possible to unify two unbound variables with each other. This creates a hidden link between them, entangling them, so that if one of them is later bound to a value, the other one will also become bound to the same value:
| (program entry point) | |
| ($X = $Y) | |
| ([spooky action at a distance] = $X) | |
| This is $Y. |
The output of the program is:
Now, here's the kicker: In Dialog (and Prolog, for that matter), parameters to predicates are passed by unification. Remember that when a predicate is queried, the query is compared to each of the rule heads, in program order, until a match is found. That comparison is in fact carried out by attempting to unify each parameter of the query with the corresponding parameter of the rule head.
This has a very interesting and useful consequence, which is that parameters can be used interchangeably as inputs or outputs:
| (#rock beats #scissors) | |
| (#scissors beats #paper) | |
| (#paper beats #rock) | |
| (program entry point) | |
| (#rock beats $X) %% Parameters are: Input, output. | |
| When your opponent makes a fist, you'd better not play $X. | |
| ($Y beats #rock) %% Parameters are: Output, input. | |
| When your opponent makes a fist, you should play $Y. |
The first query (#rock beats $X) tells Dialog to search for a rule head with the signature ($ beats $), and attempt to unify #rock with the first parameter in the rule head, and the unbound variable $X with the second. This succeeds on the very first rule encountered, and as a side effect, $X is now bound to #scissors. That rule has no body, so it succeeds, and control returns to the top-level predicate.
For the second query ($Y beats #rock), Dialog searches for a rule head with the signature ($ beats $), and attempts to unify the unbound variable $Y with the first parameter, and #rock with the second. It gets to the first rule: $Y would unify successfully will #rock from the rule head, because $Y is unbound. But #rock does not equal #scissors, so this unification fails. Hence, the first rule was not a match. Now the second rule is considered: $Y is still unbound, and would unify perfectly fine with #scissors. But #rock from the query doesn't unify with #paper from the rule head, so the unification operation fails again. Finally, Dialog tries the third rule: $Y unifies successfully with #paper, and #rock unifies with #rock. This time the operation is successful! The rule body is empty, so it succeeds too, and control returns to the top-level predicate.
The output of the program is:
Dialog has a special syntax for matching the head (first element) and tail (remaining elements) of a list. Recall that a list is usually a sequence of values in brackets:
| [1 2 3 4] |
Such a sequence can be unified with a special expression, called a partial list:
| [$Head | $Tail] |
The unification succeeds if $Head unifies with the first element of the list, and $Tail unifies with a list containing the rest of the elements. Unification of a partial list and an empty list fails, because there is no head element to extract. Here is an example of extracting the head and tail of a list:
| (program entry point) | |
| ([1 2 3 4] = [$A | $B]) | |
| A is $A. | |
| B is $B. |
Here is the output:
Unification works both ways, so the same syntax can be used to construct a list from a head and a tail:
| (program entry point) | |
| ($A = 1) | |
| ($B = [2 3 4]) | |
| Tacking on a new head: [$A | $B] |
The output is:
The syntax is not limited to just a single head: Any number of elements can be matched (or tacked on) from the beginning of the list. However, the tail is always represented by a single expression (usually a variable) after the vertical bar (|). So:
| (program entry point) | |
| ([$First $Second | $Rest] = [a b c d e]) | |
| ([$Second $First | $Rest] = $Result) | |
| The result is $Result. |
produces the following output:
Partial lists are very useful in combination with recursive code, i.e. predicates that query themselves. Here is an example that considers each element of a list in turn using recursive calls:
| (program entry point) | |
| (observe objects [#banana #orange #apple #apple]) | |
| (observe objects []) | |
| You don't see any more fruit. | |
| (observe objects [$Head | $Tail]) | |
| You see (a $Head). (line) | |
| (observe objects $Tail) | |
| (a #banana) | a banana |
| (a #apple) | an apple |
| (a $) | an unknown fruit |
The output is:


Allow any tags to contain unknown tags (Steven Parkes)
Remove escaped quote (') from matching (#55)
Fix ‘undefined method downcase for nil:NilClass’ on JRuby (#58)
Unescape hex numeric character references
GH #21, #32, #33, #36: Fix for reported segfaults
GH#8: Nil-check before downcasing attribute key
GH#25: Proper ruby 1.9 encoding support
GH#28. Use integers instead of ?? on 1.9, which is just a string.
including noscript to ElementInclusions , so that hpricot wont fail when trying to parse a meta tag inside head section when noscript is present.
latest changes from fast_xs mainline
Fixes to get Hpricot running on Rubinius:
Use free, not XFREE
Remove RSTRUCT craziness, don’t break Array#at
Bring JRuby support up to speed, including Java-based hpricot_css support
Change JRuby fast_xs to have same escaping behavior as C fast_xs
fix for issue #2, downcasing of html attributes inside the parser.
solve issue #3 with bogus etags being preserved in `to_s` rather than just `to_original_html`.
fix error when attempting to reparent cleared node. (issue #5)
Hpricot::Attributes proxy object for using `ele.attributes = v` directly. however, it is preferred to use the jquery-like `elements.attr(k, v)`.
big problems on Ruby 1.8.6, use INT2FIX instead of INT2NUM. hashes were being cast to bignums.
patch for 1.8.5 to define RARRAY_PTR. thanks, mike perham!
inspecting empty document bug, courtesy of @TalLevAmi.
Saving memory and speed by using RStruct-based elements in the C extension.
Bug in tag parsing, causing runaway <script> and <style> tags in HTML.
Problem compiling under Ruby 1.9, due to our_rb_hash_lookup function meant for Ruby 1.8.
CData was missing inner_text method.
Rewritten parser routine, much lighter on memory, quite a bit faster.
Friendlier with Ruby 1.9.
Fixes to nth-child and text() selectors.
Hpricot for JRuby -- nice work Ola Bini!
Inline Markaby for Hpricot documents.
XML tags and attributes are no longer downcased like HTML is.
new syntax for grabbing everything between two elements using a Range in the search method: (doc/(“font”..“font/br”)) or in nodes_at like so: (doc/“font”).nodes_at(“*”..“br”). Only works with either a pair of siblings or a set of a parent and a sibling.
Ignore self-closing endings on tags (such as form) which are containers. Treat them like open parent tags. Reported by Jonathan Nichols on the hpricot list.
Escaping of attributes, yanked from Jim Weirich and Sam Ruby’s work in Builder.
Element#raw_attributes gives unescaped data. Element#attributes gives escaped.
Added: Elements#attr, Elements#remove_attr, Elements#remove_class.
Added: Traverse#preceding, Traverse#following, Traverse#previous, Traverse#next.
support for a[text()=“Click Me!”] and h3 and the like.
Hpricot.buffer_size accessor for increasing Hpricot’s buffer if you’re encountering huge ASP.NET viewstate attribs.
some support for colons in tag names (not full namespace support yet.)
Element.to_original_html will attempt to preserve the original HTML while merging your changes.
Element.to_plain_text converts an element’s contents to a simple text format.
Element.inner_text removes all tags and returns text nodes concatenated into a single string.
no @raw_string variable kept for comments, text, and cdata – as it’s redundant.
xpath-style indices (//p/a[1]) but keep in mind that they aren’t zero-based.
node_position is the index among all sibling nodes, while position is the position among children of identical type.
comment() and text() search criteria, like: //p/text(), which selects all text inside paragraph tags.
every element has css_path and xpath methods which return respective absolute paths.
more flexibility all around: in parsing attributes, tags, comments and cdata.
The :fixup_tags option will try to sort out the hierarchy so elements end up with the right parents.
Elements such as script and style (identified as having CDATA contents) receive a single text node as their children now. Previously, Hpricot was parsing out tags found in scripts.
Better scanning of partially quoted attributes (found by Brent Beardsly on uswebgen.com/)
Better scanning of unquoted attributes – thanks to Aaron Patterson for the test cases!
Some tags were being output in the empty tag style, although browsers hated that. FIXED!
Added Elements#at for finding single elements.
Added Elem::Trav#[] and Elem::Trav#[]= for reading and writing attributes.
Fixed negative string size error on empty tokens. (news.bbc.co.uk)
Allow the parser to accept just text nodes. (such as: Hpricot.parse('TEXT'))
from JQuery to Hpricot::Elements: remove, empty, append, prepend, before, after, wrap, set, html(…), to_html, to_s.
on containers: to_html, replace_child, insert_before, insert_after, innerHTML=.
Hpricot(…) is an alias for parse.
open up all properties to setters, let people do as they may.
use to_html for the full html of a node or set of elements.
doctypes were messed.
Rewrote the HTree parser to be simpler, more adequate for the common man. Will add encoding back in later.
For whatever reason, wrote this HTML parser in C. I guess Ragel is addictive and I want to improve HTree.
Generated with the Darkfish Rdoc Generator 2.


This Shiny App predicts the next word based on the text you type.
The input and output fields are as follows.
Enter a word or phrase: Text entered for prediction.
Number of Predictions: Number of words that the algorithm will predict.
Input Text: The input text.
Predicted Words: The predicted next word(s), shown when the app detects that you have finished typing one or more words.
Please allow a few seconds for the output to appear.


Data Feed: SecurityTypeMaster
Category: MasterFeed
| Field | Vision Property | Type | Description |
|---|---|---|---|
| --- Required Fields --- | |||
| entityId | code | String | id of new or existing SecurityType instance |
| assetCategory | assetCategory | String | id of existing AssetCategory instance |
| --- Suggested Fields --- | |||
| name | name | String | descriptive name |
| unitCalc | unitCalc | 1.00 | multiplier for market value calcs |
| --- Other Fields --- | |||
| numericCode | numericCode | Number | numeric code |
| shortName | shortName | String | short name |
| sortCode | sortCode | String | sort code |
The following tab-delimited feed could be used to create SecurityType instances
and refresh basic information:
Related Feeds:
Sample Upload:
Interface ExternalFeedManager upload: "SecurityTypeMaster" using:
"Id Name UnitCalc AssetCategory
0 Cash & Equiv 1.00 Cash
1 Common Stock 1.00 Equity
2 Corporate Bond 10.00 Fixed
3 Gvt Bond 10.00 Fixed
4 Option 100.00 Other
" ;
| Copyright © 1998 Innovative Systems Techniques, Inc. | Updated August 27, 1998 |


| Figure 1 |
Tree‐ring trait assets in establishing the links between gen ... |
| Figure 2 |
Location of the Valcartier common garden experiment and of p ... |
| Figure 3 |
Tree‐ring phenotypes. (a) Annual raw–absolute basal area inc ... |
| Figure 4 |
Climatic sensitivity ( CS) traits: basal area increment ( BA ... |
| Figure 5 |
Climatic sensitivity ( CS) traits: basal area increment ( BA ... |
| Figure 6 |
Tests of genotype–phenotype associations ( GPAs) between tra ... |


Congratulations! You've found where Black Highlighter theme files are maintained in production. Whenever new changes are made, our CI system compiles and minifies them and hosts them here.
If you're here wondering about the theme itself, see its main component page. Alternatively, check out our main repository.


A collaborative mind map creation tool.
Press the big green button above to create a mind map. Share the URL of the mind map with a friend and you should both see any changes the other person makes in real time.
Don't expect it to work too well I made it for fun and as an excuse to play with various technologies. But if you do want to tell me about a particularly annoying bug, ask for a feature or want the source it's on github here. And discovering that someone has actually used this might very well spur me on to fix it.


 If you do..." %}
- {% trans "Your account will remain inactive" %}
- {% trans "You won't be able to log-in to the site" %}
{% extends "account/__l_base.html" %} {% load crispy_forms_tags %} {% load i18n %} {% block title %}{% trans "Edit your profile" %} - {{ block.super }}{% endblock %} {% block content %}
{% trans "Are you completely sure you want to deactivate your account? If you do..." %}


A browser with
HTML5 text track support
is required.
Search e.g. for "blade", "music" or "chicken"
Search


No rows selected.
| Row 1 | Click to select a single row. |
| Row 2 | Ctrl+click or meta-click to toggle-select a row. |
| Row 3 | Shift+click to select a range of rows. |
| Row 4 | Ctrl+shift+click to toggle-select a range of rows. |
| Row 5 | |
| Row 6 | |
| Row 7 | |
| Row 8 | |
| Row 9 | Go to the project. |


EMMUI Get it? Sounds like Ennui, but is so much less of a bummer. Erinlea McGowan Moniz User Interface


Styled
Styled Blue
This demonstrates the potential for development and production payload modularization using Service Workers and client-side Caches.
At the moment Chrome and Firefox seem to have implemented the necessary aspects of the underlaying specifications, but there are signals that Safari's implementation will also be on par.
This demo is the product of the amazing prior and very detailed work done by the folks Mozilla's MDN and serviceworke.rs. In contrast, the goal of this work is to replace scaffolding and minimize cognitive dissonance of the work it takes to get up and running.


In previous blog post, we explained how missing-label instances or UPIs (Unlabelled Positive Instances) can create false negative signals, causing performance declination of a modern object detector, e.g. YOLO. Here, we propose to mitigate this challenge through generating pseudo-labels for the UPIs to reduce the number of false negative signals.
Briefly, our method is an end-to-end solution, meaning that during training of YOLO, it recognizes UPIs, then generates pseudo-labels. To this end, we incorporate a pre-trained proxy model (Augmented CNN-- a vanilla CNN with an extra class added to its output) to indicate whether the ROIs estimated by YOLO (during its training) contain an object of interest or not. If the proxy model classifies an ROI as its extra class (meaning it contains a not-interesting object), it is discarded, otherwise, the coordinate information of ROI along with its estimated class and its associated confidence provided by A-CNN are considered as a pseudo-label.
In Fig 1, we show the overall pip-line of our proposed method for generating pseudo-labels during training YOLO, where it simultaneously is trained on both ground truths and the generated pseudo-labels.
There are some tricks related to A-CNN to get the above framework working.
Originally, the CNNs that have some FC layers can not process inputs with different sizes since the FC layers in the architecture can accept the inputs with identical size. However, feeding the convolution layers with different sizes incur outputs with different sizes, which are then passed to the successive FC layer in such an architecture. To address this issue, SPP (Spatial Pyramid Pooling) layer is proposed, which allows a CNN process inputs data with various sizes. Using SPP, we then able to process the ROIs with different sizes. However, from technical view point (pytorch), we can not have a batch of inputs with different sizes. To circumvent this challenge, we used "k-means trick" so that minimized the zero-pad added to the images. In this trick, the input samples with different sizes are clustered so that the samples with similar sizes are placed in a cluster. Then, the samples of a cluster are padded so that they all have an identical size. Note that simply using naive padding, i.e. padding images to all have size of the largest image, is not recommended since it can create inputs with immense zero-margin, especially for tiny images.
To create high confidence prediction, we used patch-drop to create different versions of an ROI, then averaging their predictions by the A-CNN, which then lead to better predictions in terms of calibration and reducing error. Later, we accept only those predictions with high confidence (larger than a threshold). Therefore, the chance of misclassification can be reduced, avoid generation of incorrect pseudo-labels.


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Ingredients we need are:- 1 tablespoons of plain organic yogurt, 1 teaspoon of raw organic honey, 1 teaspoon of turmeric and 1 teaspoon of lemon juice-optional (great for lightening the skin and fighting oil). Mix the ingredients in a bowl, then slather it on your face with your fingers (or a brush) and let it sit for 15-20 minutes. Finally, rinse with lukewarm water and follow with your favorite moisturizer.
Apply the mask in to your skin with a mask applicator so that the mask is appliend evenly. Be careful about your eyes. This mask may not cause inflamation but can create irritation in your eyes. Keep this mask until it fully dries.
Rinse your face with lukewarm water and feel the difference.  The coconut oil gives your skin a hit of hydration while the honey and turmeric both possess anti-inflammatory and antibacterial properties that also help to smooth out your skin. Skip to 8:15 mins to see me mix up the mask.


--- layout: page title: About header-img: "img/about-bg.png" ---
Current Reliability Engineer trying to explore new challenges in life.


X:
RndEq
Y:
RndEq
T min:
T max:
Step:
Color:
Clear canvas
Plot
Your browser does not support the canvas element.


Faith No More teasing something for Tuesday
by Andrew SacherNot only will Mike Patton be busy in 2020 with the Mr. Bungle reunion, but it looks like Faith No More are up to something too. They posted the above picture to their social media with the caption “psssst…” and they updated their website to feature the same image and a countdown clock that ends on Tuesday (11/26) at 2 PM Eastern. Stay tuned until then.
Faith No More’s last album was 2015’s Sol Invictus and that was the last year they toured too. In 2017, Mike Patton said FNM were going on an “extended break,” and he stayed busy with other projects since then including Dead Cross, Corpse Flower, and more. Last year keyboardist Roddy Bottum revealed he had been making new music with his FNM bandmates Billy Gould and Mike Bordin.


| DOSE: |
1 hit |
smoked |
DMT |
(powder / crystals) |
I had read a lot about DMT via experience reports, Rick Strassman’s book and various other texts, and had been wanting to smoke it for quite some time. I was finally gifted with the opportunity to try it, and one thing is for sure, nothing I read adequately described what I was to experience, nor will this report.
I had heard so much about the complexities of smoking DMT, from the technical precision required to vaporize the chemical to the horrendously acrid burn of the smoke, to the absolute necessity of taking three tokes. It turned out to be much ado about nothing, and it seems I had unnecessarily cluttered my mind with these ideas. On the other hand, perhaps I just had a good teacher/aid.
 The pipe was crude yet simple and effective. The crystal DMT was put into the neck of the bottle and gently heated over a flame and rolled around until it formed a coating over the inside of the glass. Then a regular disposable lighter was held about a half inch from the neck opening. I inhaled very gently through the small hole in the bottom of the bottle, dragging the flame towards, but not into the neck of the bottle. I then watched for the material to begin vaporizing in the chamber.
I took one very, very, long, slow drag on the pipe. The smoke was only slightly harsh, and I held it in until I was just about to burst. My reality began to fade into a rippling flow of multi-coloured patterns. I remember saying “here I go” and then lay back on the bed to sink into the experience with my eyes closed, spewing out a huge cloud of the smoky vapour.
It was entirely immersive, like being enveloped in thick syrup and at times it seemed I had forgotten to breathe and found myself gasping my air. There was a very warm hum that filled my ears, like the sound of an overhead high current electrical tower. CEVs swirled in beautiful geometric fractal patters mostly in hues of purple and gold. I was vaguely aware of traveling through corridors and being beckoned by young and beautiful female entities dressed in outrageous rave gear, something from a computer generated cartoon.
The sounds in the room of my companions talking quietly around me were echoing, as if I were in a stainless steel vessel, but I was unable to understand what they were saying. When they went silent, the silence was profound, a silence I hadn't experienced before in my lifetime. The experience was and remains very hard to process, as I was so thoroughly removed from my immediate reality into something exceedingly different and difficult to perceive, let alone describe. My body felt numb and heavy, but overall quite pleasant and somewhat euphoric.
At some point, perhaps 5-10 minutes later, as the peak subsided, someone in the room said, “open your eyes”, so I did. My girlfriend was beside me. I looked at her and was surprised to see that she was made of a sort of semi-fluid mercury like material. She was strikingly beautiful. The colours were beyond description, and everything glowed and shimmered. I looked around the room and everything was made of this same shimmering liquid. The Persian carpet on the floor was alive in a rippling ocean of colour.
I spent the remainder of the trip switching between eyes closed and eyes open, thoroughly astonished and delighted at what I was seeing. This lasted maybe an additional half hour or so. I’ve experienced many amazing things on various psychedelics, but DMT revealed open and closed eyed visuals the likes of which I hadn’t previously experienced. I have no idea how much I smoked because it wasn’t measured … just one huge toke, which seemed sufficient to catapult me into another dimension. I did a couple of more hits that night, one small one eliciting only visuals, and another yielding a similarly immersive experience. After that, I was feeling pretty exhausted and didn’t feel compelled to do more.
Overall I found the experience to be fascinating and something I look forward to doing again. However, it lacked the psychological stimulation that I value in my psychedelic trips. It was more of a psychedelic joyride than the sort of life changing experience that I have received via salvia, chemicals and mushrooms. I wouldn’t say I came away any more enlightened or with a clearer view into my personal condition. Given this, my next experiment will hopefully be an oral dose with an MAOI, to see if I might evoke more therapeutic effects from this intriguing substance.
The next day I felt a bit cracked out and my throat had a sore spot on it. I also had an acrid taste come up from my throat occasionally, much like moth balls, and this lingered on for a couple of days. Overall DMT lived up to my expectations and then some.
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.


Winning Arguments.
Parentheses are a subtle to include information in literature. They group numbers together in math equations, trail behind long organization titles in news reports, and even distinguish between an area code and a person’s unique telephone number.
When we switch gears into Ruby, parentheses are no longer representative of a polite nudge like they once were to us. Sitting alongside a method, they’re now considered powerful argumentation.
In a blogpost written by a Alan Skorkin, he says that contrary to popular belief, a method argument should be broken up into three separate, and easily digestible categories: required arguments, arguments with default values, and optional arguments.
Required arguments (aka: “Ordinal Params”)
Required arguments are your run-of-the-mill arguments. Nothing left to the imagination, require arguments are straightforward in their approach to gathering information from other sources.
def method_example( x, y )
end
Once you have defined your method, you will always need to provide the same number of arguments when calling the method.
method_example( 2013, "Flatiron School" )
Arguments with Default Values (aka: “Params with Default Values”)
Instead of assigning a specific number of arguments, you may also assign assigning a default value to an argument.
def horse_method( x, y, z = "appaloosa" )
end
You can then call this method in one of two ways:
horse_method( 2, "shire" )
#=> horse_method( 2, "shire", "appaloosa")
– OR –
horse_method( 2, "shire", "thoroughbred" )
The first example (above) calls the method without placing a value as its third parameter, resulting in the default value filled in as its third parameter. The second example has three parameters set and does not need to use the default value.
Optional arguments (aka: “Arguments as an Array”)
This is a special method argument that Ruby allows you to use that many refer to as “splat”.
To see an excellent blogpost describing splat’s usage in more depth, check out Manuel Neuhauser’s blog on the topic.
At a basic level, the optional argument allows you to decide at runtime how many arguments you’ll supply to a method:
def caffe_method( *italian_favorites )
end
Which could be called with:
caffe_method( "cappuccino", "espresso", "macchiato" )
#=> [ "cappuccino", "espresso", "macchiato" ]
You can then call it with any number of arguments, or no methods at all, resulting in an array with the exact number of arguments specified (or none at all if no arguments were defined).
Combinations
In addition to the three general uses of method arguments in Ruby, all of them can be mixed and matched together, creating a unique assortment of required, default values, and optional arguments.
For example:
def combination_method( a, b, c = 5, *d , e)
end
If called with:
combination_method( 21, 31, 11 )
#=> a = 21, b = 31, c = 5, d=[], e = 11
Since each required value gets an assigned value, the default value kicks in with its default, and the optional, or splat(*) argument would return an empty array.
While method arguments are seemingly basic at first glance, understanding the way they work by themselves, with default values and optional parameters, as well in unison while all hanging out in the same set of parentheses is an integral stepping stone to making your beginner Ruby methods function properly.
Happy arguing!


The reg_name operand is used to specify the address of any of the processor’s internal registers or, in the case of PC, the current execution address. Some registers have multiple names such as a generic name as well as the specific name defined in the processor architecture manual.
In addition to the predefined names listed below, reg_name can be a user-defined register name. If a reg_name matches the name of a symbol in the program being debugged, the name must be prefixed with a “.” to be recognized as a register name.
Alternate naming convention for Coprocessor 1 general registers $0..$31.
fcr{0..31}
Alternate naming convention for Coprocessor 1 control registers $0..$31.
{f|d}{0..31}
Alternate naming convention for Coprocessor 1 general registers $0..$30 (only even numbers are valid). An f reference implies single precision, a d double precision.
ict{n}, dct{n},l2t{n}
ICache, DCache and L2 cache tags, where n is the tag entry number (0-N).
Dynamic management of configurable exceptions supported.
iapsr
The Interrupt Application PSR (IAPSR) contains the Interrupt Service Routine (ISR) number of the current exception activation. Accesses IPSR and APSR.
iepsr
The Interrupt Execution PSR (IEPSR) contains the Interrupt Service Routine (ISR) number of the current exception activation. A composite of IPSR and EPSR.
ipsr
The Interrupt PSR (IPSR) contains the Interrupt Service Routine (ISR) number of the current exception activation.
lr
Link Register
msp
Main Stack Pointer. In Handler mode, the processor uses the Main Stack Pointer instead of the Process Stack Pointer.
primask
Register to mask out configurable exceptions. Special-Purpose Priority Mask Register for priority boosting. Manages the prioritization scheme for exceptions and interrupts. When set, raises execution priority to 0.
psp
The Process Stack pointer.
sp
Stack Pointer. The stack pointer used in exception entry and exit is described in the pseudocode sequences of the exception entry and exit.
sp_main
Stack Pointer Main. Active stack pointer
sp_process
Stack Pointer Process. Active stack pointer
xpsr
A composite of all three PSR registers.
ARM Register Names
Table 4-5.
ARM Register Names
Register Name
Description
cP_R
Coprocessor P register R.
cP_R_oO_M
Coprocessor P register with crn=N, opt2=O and crm=M.


Microsoft XML Notepad 2007
Version 2.5
Copyright © 2006 Microsoft Corporation. All Rights Reserved.
Built using C# on .NET Framework 2.0.
See Overview.
See also Contact information.


This is a FRT record. It stores the information for a single published web page. It appears in the sheet stream for the sheet from which this item was published.
Record Data
|
Offset |
Name |
Size |
Contents |
|
4 |
rt |
2 |
Record type; this matches the BIFF rt in the first two bytes of the record; = 0801h |
|
6 |
grbitFrt |
2 |
FRT flags; see FRT Records for more information |
|
8 |
ref |
var |
Range reference; see FRT Records for more information |
|
var |
tws |
1 |
Type of Web Source: 1= twsSheet ; Entire Sheet was published 2= twsPrintArea ; the Print Area was published 3= twsAutoFilter ; an AutoFilter was published 4= twsRef ; a range of cells was published 5= twsChart ; a Chart was published 6= twsPivotTable ; a PivotTable was published 7= twsQuery ; a Query Table was published 8= twsLabel ; a named range was published |
|
var |
twd |
1 |
Type of Web Page created: 0= twdHtmlPlain ; non-interactive page 1= twdHtmlCalc ; page uses Spreadsheet functionality 2= twdHtmlList ; page uses PivotTable functionality 3= twdHtmlChart ; page uses Chart functionality |
|
var |
grfOptions |
2 |
Common options; see following table |
|
var |
(Reserved) |
2 |
Reserved; must be zero |
|
var |
nStyled |
4 |
Style number (usually the same as the number inside stDivId ) |
|
var |
cb |
4 |
Size of information that follows |
|
var |
stSrcName |
var |
Source data name (does not exist if tws is twsRef ); zero length string if tws is a type that has no name (ie the item is the entire sheet or the AutoFilter) |
|
var |
stFileDest |
var |
Unicode string; name of the file that is written out; should never be zero length |
|
var |
stDivId |
var |
Unicode string identifier used for the DIV tag ID attribute; should never be zero length |
|
var |
stTitle |
var |
Unicode string; title for published data in the HTML file; can be zero length |
|
var |
idCrtShape |
var |
XL10: if tws=twsChart , this is a 4-byte chart shape id; otherwise this is zero length |
|
var |
rgb |
var |
Future information |
The grfOptions field contains the following option flags:
|
Bits |
Mask |
Name |
Contents |
|
0 |
0001h |
fNew |
1= this item is not yet published |
|
1 |
0002h |
fAutoRepublish |
1= auto-republish is on |
|
2 |
0004h |
(Reserved) |
|
|
3 |
0008h |
fMhtml |
1= publish in MHTML |
|
15-4 |
FFF0h |
(unused) |
|