Best John Muir quotes about nature and wilderness
We get to learn a lot from other people's words of wisdom. Some of the best John Muir quotes below will leave you with a lot to think about.
Humans can learn a lot just by being observant.  All the solutions to man's problems are found in nature. This is something that John Muir understood quite well and captured in his quotes.
Famous John Muir quotes
The following John Muir quotes about nature will prompt you to think about life from a different perspective. They will make you question your thoughts and beliefs as well as teach you something new.
- The clearest way into the Universe is through a forest wilderness.
John alludes that the fastest way to learn about the world is to go through the thickets of a forest. The flora and fauna in forests are diverse. Some animals are the prey, while others are the hunters. Some have a symbiotic relationship. In a forest, one gets a chance to think and reflect as they observe the plants and animals therein.
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- When one tugs at a single thing in nature, he finds it attached to the rest of the world.
Sticking to a particular natural occurrence will teach you all there is to know about the world.
- The mountains are calling and I must go.
There is something about nature's call that is unique. It cannot be ignored or postponed. When nature's time is due, then you must heed to the call or suffer the consequences.
- Thousands of tired, nerve-shaken, over-civilized people are beginning to find out that going to the mountains is going home; that wildness is a necessity.
Nature heals all the world's pressures and stresses. Whenever you feel overwhelmed by the troubles of this world, then consider taking a break from the fast-paced modern lifestyle and retire to the mountains where it is quiet and calm. Sometimes that is all the mind needs to recollect.
- Earth has no sorrow that earth can not heal.
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You can always trust the earth to sort its problems. Nothing is too big that no solution can be found.
- The world's big and I want to have a good look at it before it gets dark.
If you are keen enough, you will notice that everything you need to get through life is somewhere in the world. Take your time to observe.
- In every walk with Nature, one receives far more than he seeks.
Nature is giving. It offers you more than you will ever ask for. If you stepped out for peace, then expect to find tranquility, calmness, refreshment, and joy just to mention a few. Make it a habit to pause and commune with nature for its benefits are far more than we can imagine.
John Muir mountain quotes
Among the many expert nature quotes John Muir is known for, mountain quotes are among the best you will come across. He seemed to have a lot of experience with the mountains that it was impossible not to talk about them. If you are observant enough, you will notice that there is so much benefit that comes with going to the mountains. Check out the following examples.
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- I am losing precious days. I am degenerating into a machine for making money. I am learning nothing in this trivial world of men. I must break away and get out into the mountains to learn the news.
The real lessons are captured in the mountains where spirits roam freely. In the mountains, you will not be confined to the routines of this world and that is when the magic truly happens.
- Oh, these vast, calm, measureless mountain days, days in whose light everything seems equally divine, opening a thousand windows to show us God.
If you want to connect with your creator, then consider going to the mountains. This is where you will find peace away from the hustle and bustle of the world, making it easy for you to connect with God.
- Climb the mountains and get their good tidings.
Do not be afraid of climbing mountains. It may be a difficult journey but in the end, you are assured of greater rewards.
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- Keep close to Nature’s heart… and break clear away, once in a while, and climb a mountain or spend a week in the woods. Wash your spirit clean
The surest way to rejuvenate and wash your soul is to commune with nature. A few days in the woods is all you need to recharge and come back fully loaded with energy and zeal.
John Muir Yosemite quotes
- Yosemite Park is a place of rest… None can escape its charms. Its natural beauty cleans and warms like a fire, and you will be willing to stay forever in one place like a tree.
Visit the park and you will tell a similar story. The charms of a well-kept park will touch even the hardest of hearts. That is what nature does to you.
- The making of gardens and parks goes on with civilization all over the world, and they increase both in size and number as their value is recognized.
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Parks and cool serene gardens should be an endeavour that everyone takes part in. The beauty these places bring cannot be equated to anything else.
- He was one of the most sincere tree-lovers I ever knew. About twenty years before his death he made the choice of a plot in the Yosemite cemetery on the north side of the Valley.
Anyone can turn even the worst of grounds into a beautiful garden as long as they love what they are doing.
Top inspiring quotes by John Muir
- Walk away quietly in any direction and taste the freedom of the mountaineer.
True freedom is found in high places. Start with the mountains and you will experience the same.
- How glorious a greeting the sun gives the mountains!
When you are high up, everything good gets to you first. Get to the top and enjoy the sun's first rays every morning.
- One day’s exposure to mountains is better than a cartload of books.
Incredible ideas for top 20 congratulatory messages
What books do to the mind, the mountains will do so much more.  The experience is unmatched!
John Muir nature quotes
All the quotes by John Muir emphasize just how crucial it is to take advantage of nature. After all, the wilderness, high places, and forests were created for man to enjoy. Check out the following quotes John Muir uses to express how he feels about nature in general. You may love a few of John Muir wilderness quotes and adopt the ideology altogether.
- The sun shines not on us but in us.
This inspiring saying reminds us that the light of nature is within us. Never give up just because things seem different. Let the inner illumination radiate outwards.
- Any fool can destroy trees. They cannot run away.
This is one of the quotes from John Muir that must be considered a warning. While it may be easy to destroy nature, the consequences of doing so will catch up with us one day. Humans must protect nature instead if we want to keep reaping its benefits. In the end, nature fights its own battles.
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- Here are the roots of all the life of the valleys, and here more simply than elsewhere is the eternal flux of nature manifested.
Protect the sources of life in the world. Destroying them will mean that the end is near.
- Nothing truly wild is unclean.
Nature cleans itself in the process. All forms of corruption come from outside.
John Muir quotes nature examples are a reflection of the life we ought to live. We need to be in harmony with the wilderness if we are to thrive. All forms of true healing and satisfaction are found in the wilderness.
Pick your favourite spot in the wild and make a habit of visiting it every once in a while. You may end up transforming your life in ways you will never understand. Consider the above John Muir quotes for inspiration.


A B C D E F G H I K L M N O P Q R S T U V W misc
| adjCoef | Adjustment Coefficient |
| aggregate.portfolio | Summary Statistics of a Portfolio |
| aggregateDist | Aggregate Claim Amount Distribution |
| BetaMoments | Raw and Limited Moments of the Beta Distribution |
| Burr | The Burr Distribution |
| ChisqSupp | Moments and Moment Generating Function of the (non-central) Chi-Squared Distribution |
| cm | Credibility Models |
| Coverage | Density and Cumulative Distribution Function for Modified Data |
| coverage | Density and Cumulative Distribution Function for Modified Data |
| CTE | Conditional Tail Expectation |
| CTE.aggregateDist | Conditional Tail Expectation |
| dburr | The Burr Distribution |
| dental | Individual Dental Claims Data Set |
| dgenbeta | The Generalized Beta Distribution |
| dgenpareto | The Generalized Pareto Distribution |
| diff.aggregateDist | Aggregate Claim Amount Distribution |
| dinvburr | The Inverse Burr Distribution |
| dinvexp | The Inverse Exponential Distribution |
| dinvgamma | The Inverse Gamma Distribution |
| dinvparalogis | The Inverse Paralogistic Distribution |
| dinvpareto | The Inverse Pareto Distribution |
| dinvtrgamma | The Inverse Transformed Gamma Distribution |
| dinvweibull | The Inverse Weibull Distribution |
| discretise | Discretization of a Continuous Distribution |
| discretize | Discretization of a Continuous Distribution |
| dlgamma | The Loggamma Distribution |
| dlgompertz | The Inverse Weibull Distribution |
| dllogis | The Loglogistic Distribution |
| dparalogis | The Paralogistic Distribution |
| dpareto | The Pareto Distribution |
| dpareto1 | The Single-parameter Pareto Distribution |
| dpareto2 | The Pareto Distribution |
| dpearson6 | The Transformed Beta Distribution |
| dphtype | The Phase-type Distribution |
| dtrbeta | The Transformed Beta Distribution |
| dtrgamma | The Transformed Gamma Distribution |
| elev | Empirical Limited Expected Value |
| elev.default | Empirical Limited Expected Value |
| elev.grouped.data | Empirical Limited Expected Value |
| emm | Empirical Moments |
| emm.default | Empirical Moments |
| emm.grouped.data | Empirical Moments |
| ExponentialSupp | Moments and Moment Generating Function of the Exponential Distribution |
| Extract.grouped.data | Extract or Replace Parts of a Grouped Data Object |
| frequency.portfolio | Summary Statistics of a Portfolio |
| GammaSupp | Moments and Moment Generating Function of the Gamma Distribution |
| gdental | Grouped Dental Claims Data Set |
| GeneralizedBeta | The Generalized Beta Distribution |
| GeneralizedPareto | The Generalized Pareto Distribution |
| grouped.data | Grouped data |
| hachemeister | Hachemeister Data Set |
| hist.grouped.data | Histogram for Grouped Data |
| InverseBurr | The Inverse Burr Distribution |
| InverseExponential | The Inverse Exponential Distribution |
| InverseGamma | The Inverse Gamma Distribution |
| InverseParalogistic | The Inverse Paralogistic Distribution |
| InversePareto | The Inverse Pareto Distribution |
| InverseTransformedGamma | The Inverse Transformed Gamma Distribution |
| InverseWeibull | The Inverse Weibull Distribution |
| InvGaussSupp | Moments and Moment Generating Function of the Inverse Gaussian Distribution |
| knots.elev | Empirical Limited Expected Value |
| knots.ogive | Ogive for Grouped Data |
| levbeta | Raw and Limited Moments of the Beta Distribution |
| levburr | The Burr Distribution |
| levchisq | Moments and Moment Generating Function of the (non-central) Chi-Squared Distribution |
| levexp | Moments and Moment Generating Function of the Exponential Distribution |
| levgamma | Moments and Moment Generating Function of the Gamma Distribution |
| levgenbeta | The Generalized Beta Distribution |
| levgenpareto | The Generalized Pareto Distribution |
| levinvburr | The Inverse Burr Distribution |
| levinvexp | The Inverse Exponential Distribution |
| levinvgamma | The Inverse Gamma Distribution |
| levinvGauss | Moments and Moment Generating Function of the Inverse Gaussian Distribution |
| levinvgauss | Moments and Moment Generating Function of the Inverse Gaussian Distribution |
| levinvparalogis | The Inverse Paralogistic Distribution |
| levinvpareto | The Inverse Pareto Distribution |
| levinvtrgamma | The Inverse Transformed Gamma Distribution |
| levinvweibull | The Inverse Weibull Distribution |
| levlgamma | The Loggamma Distribution |
| levlgompertz | The Inverse Weibull Distribution |
| levllogis | The Loglogistic Distribution |
| levlnorm | Raw and Limited Moments of the Lognormal Distribution |
| levparalogis | The Paralogistic Distribution |
| levpareto | The Pareto Distribution |
| levpareto1 | The Single-parameter Pareto Distribution |
| levpareto2 | The Pareto Distribution |
| levpearson6 | The Transformed Beta Distribution |
| levtrbeta | The Transformed Beta Distribution |
| levtrgamma | The Transformed Gamma Distribution |
| levunif | Moments and Moment Generating Function of the Uniform Distribution |
| levweibull | Raw and Limited Moments of the Weibull Distribution |
| Loggamma | The Loggamma Distribution |
| Loglogistic | The Loglogistic Distribution |
| LognormalMoments | Raw and Limited Moments of the Lognormal Distribution |
| mbeta | Raw and Limited Moments of the Beta Distribution |
| mburr | The Burr Distribution |
| mchisq | Moments and Moment Generating Function of the (non-central) Chi-Squared Distribution |
| Mde | Minimum Distance Estimation |
| mde | Minimum Distance Estimation |
| mean.aggregateDist | Aggregate Claim Amount Distribution |
| mean.grouped.data | Arithmetic Mean |
| mexp | Moments and Moment Generating Function of the Exponential Distribution |
| mgamma | Moments and Moment Generating Function of the Gamma Distribution |
| mgenbeta | The Generalized Beta Distribution |
| mgenpareto | The Generalized Pareto Distribution |
| mgfchisq | Moments and Moment Generating Function of the (non-central) Chi-Squared Distribution |
| mgfexp | Moments and Moment Generating Function of the Exponential Distribution |
| mgfgamma | Moments and Moment Generating Function of the Gamma Distribution |
| mgfinvgamma | The Inverse Gamma Distribution |
| mgfinvGauss | Moments and Moment Generating Function of the Inverse Gaussian Distribution |
| mgfinvgauss | Moments and Moment Generating Function of the Inverse Gaussian Distribution |
| mgfnorm | Moments and Moment generating function of the Normal Distribution |
| mgfphtype | The Phase-type Distribution |
| mgfunif | Moments and Moment Generating Function of the Uniform Distribution |
| minvburr | The Inverse Burr Distribution |
| minvexp | The Inverse Exponential Distribution |
| minvgamma | The Inverse Gamma Distribution |
| minvGauss | Moments and Moment Generating Function of the Inverse Gaussian Distribution |
| minvgauss | Moments and Moment Generating Function of the Inverse Gaussian Distribution |
| minvparalogis | The Inverse Paralogistic Distribution |
| minvpareto | The Inverse Pareto Distribution |
| minvtrgamma | The Inverse Transformed Gamma Distribution |
| minvweibull | The Inverse Weibull Distribution |
| mlgamma | The Loggamma Distribution |
| mlgompertz | The Inverse Weibull Distribution |
| mllogis | The Loglogistic Distribution |
| mlnorm | Raw and Limited Moments of the Lognormal Distribution |
| mnorm | Moments and Moment generating function of the Normal Distribution |
| mparalogis | The Paralogistic Distribution |
| mpareto | The Pareto Distribution |
| mpareto1 | The Single-parameter Pareto Distribution |
| mpareto2 | The Pareto Distribution |
| mpearson6 | The Transformed Beta Distribution |
| mphtype | The Phase-type Distribution |
| mtrbeta | The Transformed Beta Distribution |
| mtrgamma | The Transformed Gamma Distribution |
| munif | Moments and Moment Generating Function of the Uniform Distribution |
| mweibull | Raw and Limited Moments of the Weibull Distribution |
| NormalSupp | Moments and Moment generating function of the Normal Distribution |
| ogive | Ogive for Grouped Data |
| Paralogistic | The Paralogistic Distribution |
| Pareto | The Pareto Distribution |
| pareto2 | The Pareto Distribution |
| pburr | The Burr Distribution |
| Pearson6 | The Transformed Beta Distribution |
| pgenbeta | The Generalized Beta Distribution |
| pgenpareto | The Generalized Pareto Distribution |
| pinvburr | The Inverse Burr Distribution |
| pinvexp | The Inverse Exponential Distribution |
| pinvgamma | The Inverse Gamma Distribution |
| pinvparalogis | The Inverse Paralogistic Distribution |
| pinvpareto | The Inverse Pareto Distribution |
| pinvtrgamma | The Inverse Transformed Gamma Distribution |
| pinvweibull | The Inverse Weibull Distribution |
| plgamma | The Loggamma Distribution |
| plgompertz | The Inverse Weibull Distribution |
| pllogis | The Loglogistic Distribution |
| plot.adjCoef | Adjustment Coefficient |
| plot.aggregateDist | Aggregate Claim Amount Distribution |
| plot.elev | Empirical Limited Expected Value |
| plot.ogive | Ogive for Grouped Data |
| plot.ruin | Probability of Ruin |
| pparalogis | The Paralogistic Distribution |
| ppareto | The Pareto Distribution |
| ppareto1 | The Single-parameter Pareto Distribution |
| ppareto2 | The Pareto Distribution |
| ppearson6 | The Transformed Beta Distribution |
| pphtype | The Phase-type Distribution |
| predict.cm | Credibility Models |
| print.aggregateDist | Aggregate Claim Amount Distribution |
| print.cm | Credibility Models |
| print.elev | Empirical Limited Expected Value |
| print.ogive | Ogive for Grouped Data |
| print.portfolio | Simulation from Compound Hierarchical Models |
| print.summary.cm | Credibility Models |
| ptrbeta | The Transformed Beta Distribution |
| ptrgamma | The Transformed Gamma Distribution |
| qburr | The Burr Distribution |
| qgenbeta | The Generalized Beta Distribution |
| qgenpareto | The Generalized Pareto Distribution |
| qinvburr | The Inverse Burr Distribution |
| qinvexp | The Inverse Exponential Distribution |
| qinvgamma | The Inverse Gamma Distribution |
| qinvparalogis | The Inverse Paralogistic Distribution |
| qinvpareto | The Inverse Pareto Distribution |
| qinvtrgamma | The Inverse Transformed Gamma Distribution |
| qinvweibull | The Inverse Weibull Distribution |
| qlgamma | The Loggamma Distribution |
| qlgompertz | The Inverse Weibull Distribution |
| qllogis | The Loglogistic Distribution |
| qparalogis | The Paralogistic Distribution |
| qpareto | The Pareto Distribution |
| qpareto1 | The Single-parameter Pareto Distribution |
| qpareto2 | The Pareto Distribution |
| qpearson6 | The Transformed Beta Distribution |
| qtrbeta | The Transformed Beta Distribution |
| qtrgamma | The Transformed Gamma Distribution |
| quantile.aggregateDist | Quantiles of Aggregate Claim Amount Distribution |
| quantile.grouped.data | Quantiles of Grouped Data |
| rburr | The Burr Distribution |
| rgenbeta | The Generalized Beta Distribution |
| rgenpareto | The Generalized Pareto Distribution |
| rinvburr | The Inverse Burr Distribution |
| rinvexp | The Inverse Exponential Distribution |
| rinvgamma | The Inverse Gamma Distribution |
| rinvparalogis | The Inverse Paralogistic Distribution |
| rinvpareto | The Inverse Pareto Distribution |
| rinvtrgamma | The Inverse Transformed Gamma Distribution |
| rinvweibull | The Inverse Weibull Distribution |
| rlgamma | The Loggamma Distribution |
| rlgompertz | The Inverse Weibull Distribution |
| rllogis | The Loglogistic Distribution |
| rparalogis | The Paralogistic Distribution |
| rpareto | The Pareto Distribution |
| rpareto1 | The Single-parameter Pareto Distribution |
| rpareto2 | The Pareto Distribution |
| rpearson6 | The Transformed Beta Distribution |
| rphtype | The Phase-type Distribution |
| rtrbeta | The Transformed Beta Distribution |
| rtrgamma | The Transformed Gamma Distribution |
| ruin | Probability of Ruin |
| severity | Manipulation of Individual Claim Amounts |
| severity.default | Manipulation of Individual Claim Amounts |
| severity.portfolio | Summary Statistics of a Portfolio |
| simpf | Simulation from Compound Hierarchical Models |
| simul | Simulation from Compound Hierarchical Models |
| simul.summaries | Summary Statistics of a Portfolio |
| SingleParameterPareto | The Single-parameter Pareto Distribution |
| summary.aggregateDist | Aggregate Claim Amount Distribution |
| summary.cm | Credibility Models |
| summary.elev | Empirical Limited Expected Value |
| summary.ogive | Ogive for Grouped Data |
| TransformedBeta | The Transformed Beta Distribution |
| TransformedGamma | The Transformed Gamma Distribution |
| TVaR | Conditional Tail Expectation |
| UniformSupp | Moments and Moment Generating Function of the Uniform Distribution |
| unroll | Display a Two-Dimension Version of a Matrix of Vectors |
| VaR | Value at Risk |
| VaR.aggregateDist | Quantiles of Aggregate Claim Amount Distribution |
| WeibullMoments | Raw and Limited Moments of the Weibull Distribution |
| weights.portfolio | Summary Statistics of a Portfolio |
| [.grouped.data | Extract or Replace Parts of a Grouped Data Object |
| [<-.grouped.data | Extract or Replace Parts of a Grouped Data Object |


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GSM is a tool for Goodwill Managers to build work schedules on the fly
From the upload page, insert a start date. Then upload an empty schedule, GSM takes care of the rest.
Kyle Magee


Web Developer
Jacksonville, FL
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Identify a Medical Record
Patient Name
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Phone Number:
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| int | addCInterval (CInterval interval, bool external) |
| | Adds the interval to the manager, and returns a unique index for the interval. More...
|
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| int | findCInterval (str name) |
| | Returns the index associated with the named interval, if there is such an interval, or -1 if there is not. More...
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| CInterval | getCInterval (int index) |
| | Returns the interval associated with the given index. More...
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| | Returns the custom event queue to be used for throwing done events from intervals as they finish. More...
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| int | getMaxIndex () |
| | Returns one more than the largest interval index number in the manager. More...
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| int | getNextEvent () |
| | This should be called by the scripting language after each call to step(). More...
|
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| int | getNextRemoval () |
| | This should be called by the scripting language after each call to step(). More...
|
| |
| int | getNumIntervals () |
| | Returns the number of currently active intervals. More...
|
| |
| int | interrupt () |
| | Pauses or finishes (removes from the active queue) all intervals tagged with auto_pause or auto_finish set to true. More...
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| |
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| | Removes the indicated interval from the queue immediately. More...
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| | Specifies a custom event queue to be used for throwing done events from intervals as they finish. More...
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| | This should be called every frame to do the processing for all the active intervals. More...
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| | write (Ostream out) |
| |


B-lymphoblastoid cell lines from multiple sclerosis patients and a healthy control producing a putative new human retrovirus and Epstein-Barr virus.
Abstract
On several occasions we have observed retrovirus-like particles (RVLPs) by transmission electron microscopy (EM) of cultured T cells from a patient with MS. Later we established spontaneously formed B-lymphoblastoid cell lines (LCLs) from a patient with an MS-like disease and from another patient with MS who had a reactivated Epstein-Barr virus (EBV) infection. Both LCLs were found by EM to produce RVLP and EBV particles. Reverse transcriptase (RT) assays were positive in purified viral material from both LCLs. To substantiate these findings we initiated an intensified culturing procedure and were able to establish LCLs from 5 out of 21 consecutive MS patients and 1 out of 13 consecutive healthy controls. All LCLs were found to produce both RVLP and EBV particles by EM. Whether the putative new retrovirus (es) and EBV have any causal relationship to MS is still not known, but the findings support this possibility.


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This chapter provides information and guidance on some specific procedures for troubleshooting system crashes.
A crash, or fatal error, causes a process to terminate abnormally. There are various possible reasons for a crash. For example, a crash can occur due to a bug in the Java HotSpot VM, in a system library, in a Java SE library or an API, in application native code, or even in the operating system (OS). External factors, such as resource exhaustion in the OS can also cause a crash.
Crashes caused by bugs in the Java HotSpot VM or in the Java SE library code are rare. This chapter provides suggestions on how to examine a crash and work around some of the issues (if possible) until the cause of the bug is diagnosed and fixed.
In general the first step with any crash is to locate the fatal error log. This is a text file that the Java HotSpot VM generates in the event of a crash. See Appendix A for an explanation of how to locate this file, as well as a detailed description of the file.
This chapter contains the following sections:


Persistant IDentifier MicroService API
Persistant IDentifier MicroService API can create URN, Handle or DOI
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Sunset


--- layout: post status: publish published: true title: Former Cubs players in the post-season author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 3336 wordpress_url: http://ivyenvy.com/?p=3336 date: '2010-10-07 14:29:08 +0000' date_gmt: '2010-10-07 19:29:08 +0000' categories: - Broadcasters/Networks - General Baseball - Former Cubs tags: - Bob Brenly - Braves - Giants - Indians - Kerry Wood - Phillies - Rays - Reds - Twins - Yankees - Derrek Lee - ex-Cubs - Andres Blanco - Dick Stockton - Starlin Castro - 2010 Playoffs - Sergio Mitre - Kyle Farnsworth - Mike Fontentot comments: - id: 2025 author: Ryan author_email<EMAIL_ADDRESS>author_url: '' date: '2010-10-07 17:28:58 +0000' date_gmt: '2010-10-07 22:28:58 +0000' content: "They can't all win the World Series like Mark Grace\r\n\r\nMeehan" - id: 2042 author: Ryan author_email<EMAIL_ADDRESS>author_url: '' date: '2010-10-09 10:54:45 +0000' date_gmt: '2010-10-09 15:54:45 +0000' content: "I think we're starting to see a real interleague rivalry build between the Phillies and the New York Yankees. It has everything that would make it standard: \ New York has plenty of money, and the Phillies are from a hard luck town. They're good, but they aren't quite the Yankees and they probably never will be.\r\n\r\nMeehan" - id: 2083 author: Kurt author_email<EMAIL_ADDRESS>author_url: '' date: '2010-10-17 21:04:47 +0000' date_gmt: '2010-10-18 02:04:47 +0000' content: "Mark Derosa is also with the Giants, but on the dl. I've noticed him hangin in the dugout. \r\n\r\nAlso, Mitch Williams and Eric Karros are doing the pre game for FOX during the NLCS." ---
Unless you are a very new to following the Cubs, you are probably used to not seeing the boys in blue playing in the post-season. However, the rosters for the teams in the playoffs are typically riddled with ex-Cubs players. There aren't that many out there this year.
The Yankees have the largest number of former Cubs on their roster. They also have a manager that many Cubs fans would like to see wearing a different shade of pinstripes. Kerry Wood has played very well for the Yankees since he headed to New York after being traded by the Indians. With Cleveland, he had a 6.30 ERA in 23 games. He has pitched in 24 games for the Yankees and posted a 0.69 ERA in the regular season. Opponents are only hitting .161 off Kerry since his move. Sergio Mitre is also playing for the Yankees. He was in Chicago from 2003-2005 and went 4-9 with the Cubs.
Andres Blanco is playing 2nd base for the Rangers. The only thing Cubs fans should remember about Blanco is that he wore #13 right before Starlin Castro.
2010 was an odd year for the Cubs and in August, we saw the most steady player of the decade for the Cubs in Derrek Lee traded to Atlanta. All Cubs fans were disappointed in Lee's production this year and it has increased a little for the Braves. He batted .251 for the Cubs and in the last month and a half of the season, he batted .287 for the Braves. He also raised his OPS nearly 100 points from .751 to .849. Oh yeah, Kyle Farnsworth is on the Braves, too.
Another player that many Cubs fans liked that was traded away in 2010 is Mike Fontenot, who is playing with San Francisco. In 28 games for the Giants, Little Babe Ruth has batted .282 with 0 HR and 5 RBI's. 2010 may cause Fontenot to lose the nickname, though. He hit 1 homerun in the regular season. It was his lowest output since coming up to the Majors in 2007. His highest homerun totals? He hit 9 homeruns in both 2008 and 2009 for the Cubs.
Cincinnati and Philadelphia don't have any ex-Cubs on their rosters, which makes them even easier to hate. Tampa Bay and Minnesota don't either, and that's not surprising considering how those organizations are constructed.
The biggest thing to know about these 2010 playoffs though, is that if you want to continue listening to Bob Brenly's analysis, you'll have to suffer through Dick Stockton's play-by-play announcing. Unfortunately, Stockton will be doing the Division Series that interests me the most, the Braves vs. the Giants. I'll be pulling for the Twins and the Giants in the playoffs, which means it will be the Yankees vs. the Phillies.


--- layout: default ---
This Style Guide is living document of the elements and components that make up O3 Labs projects. Use it to enhance communication between team members and to assist with visual consistency and code maintainability.
CSS and JS updates are automatically added here when changes are made. HTML additions or updates will need to be added to the corresponding section manually.


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CSS NINJA
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STEP 1
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Pseudo Wire Reference |
| Parameters: | ||
| number | x | X position of rectangle - from top-left |
| number | y | Y position of rectangle - from top-left |
| number | width | Width of rectangle |
| number | height | Height of rectangle |
| Color | col | Colour of the rectangle |
| number | outline_width | Optional - When given, an outline will be created. Line width of outline. |
| Color | outline_col | Optional - Colour of the outline. |
| Description: |
| Creates a rectangle shape. Returns a Shape object. |
| Example Usage: |
|
-- Draws a 100x100 yellow rectangle Shape at position {0, 0} local myRect = game.create_rect(0, 0, 100, 100, Color(255, 255, 0)) self:Draw(myRect) |
| Parameters: | ||
| number | x | X position of circle - from top-left |
| number | y | Y position of circle - from top-left |
| number | radius | Radius of circle |
| Color | col | Colour of the rectangle |
| number | outline_width | Optional - When given, an outline will be created. Line width of outline. |
| Color | outline_col | Optional - Colour of the outline. |
| Description: |
| Creates a circle shape. Returns a Shape object. |
| Example Usage: |
|
-- Draws a 100px radius (200px in diameter) blue circle Shape at position {0, 0} local myCircle = game.create_circle(0, 0, 100, Color(0, 0, 255)) self:Draw(myCircle) |
| Parameters: | ||
| number | x | X position of the begin point of the line. |
| number | y | Y position of the begin point of the line. |
| number | x2 | X position of the end point of the line. |
| number | y2 | Y position of the end point of the line. |
| number | thickness | Thickness of the line |
| Color | col | Color of the line |
| number | outline_width | Optional - When given, an outline will be created. Line width of outline. |
| Color | ouline_col | Optional - Colour of the outline. |
| Description: |
|
Creates a line shape. Returns a Shape object. |
| Example Usage: |
|
-- Draws a 2.5px thick purple line starting from {0, 0} to {100, 100} local myLine = game.create_line(0, 0, 100, 100, 2.5, Color(255, 0, 255)) self:Draw(myLine) |
| Parameters: |
| None. |
| Description: |
|
Get the X position of the mouse on screen. Returns a number. |
| Example Usage: |
|
local mousepos = Vector(game.mouse_x(), game.mouse_y()) -- mousepos is a Vector containing mouse coordinates. |
| Parameters: |
| None. |
| Description: |
|
Get the Y position of the mouse on screen. Returns a number. |
| Example Usage: |
|
local mousepos = Vector(game.mouse_x(), game.mouse_y()) -- mousepos is a Vector containing mouse coordinates. |
| Parameters: |
| None. |
| Description: |
|
Get the width of the game window. Returns a number. |
| Example Usage: |
|
local windowsize = Vector(game.scr_w(), game.scr_h()) -- windowsize is a Vector containing the size of the game window. |
| Parameters: |
| None. |
| Description: |
|
Get the height of the game window. Returns a number. |
| Example Usage: |
|
local windowsize = Vector(game.scr_w(), game.scr_h()) -- windowsize is a Vector containing the size of the game window. |
| Parameters: |
| None. |
| Description: |
|
Get the name of the addon the script is included in. This is set in the addon's info.xml Returns a string. |
| Example Usage: |
|
-- Send a message containing the addon name local addonname = game.addon_name() Msg("This script is included with " .. addonname) -- Outputs "This script is included with ADDONNAME" -- ADDONNAME being the addon's name |
| Parameters: |
| None. |
| Description: |
|
Get the author of the addon the script is included in. This is set in the addon's info.xml Returns a string. |
| Example Usage: |
|
-- Send a message containing the addon name local addonauthor = game.addon_author() Msg("The author of this script is " .. addonauther) -- Outputs "The author of this script is AUTHOR" -- AUTHOR being the author's name |
| Parameters: |
| None. |
| Description: |
|
Get the version of the addon the script is included in. This is set in the addon's info.xml Returns a string. |
| Example Usage: |
|
-- Send a message containing the version string of the addon local addonversion = game.addon_version() Msg("Addon Version: " .. addonauther) -- Outputs "Addon Version: 1.0.0" -- That is, if "1.0.0" is the version string of the addon |
| Parameters: | ||
| number | v | Number to bitshift left n times. v is floored. |
| number | n | Number of times to bitshift. |
| Description: |
|
Bitwise Operator - Bitshift Left Shift all binary bits to the left n times.Returns a bitshifted number. |
| Example Usage: |
|
local a = 5 -- 5 in binary is 00000101 -- 5 shifted to the left 2 times is 00010100, which in decimal is 20 a = BIT_LSHIFT(a, 2) -- a is now 20 |
| Parameters: | ||
| number | v | Number to bitshift right n times. v is floored. |
| number | n | Number of times to bitshift. |
| Description: |
|
Bitwise Operator - Bitshift Right Shift all binary bits to the right n times.Returns a bitshifted number. |
| Example Usage: |
|
local a = 20 -- 20 in binary is 00010100 -- 20 shifted to the right 2 times is 00000101, which in decimal is 5 a = BIT_RSHIFT(a, 2) -- a is now 5 |
| Parameters: | ||
| number | a | First value. a is floored. |
| number | b | Second value. b is floored. |
| Description: |
|
Bitwise Operator - Bitwise And Performs a 32-bit logical And for each bit. Returns the resulting number. |
| Example Usage: |
|
local a = 202 local b = 105 -- 202 in binary is: 11001010 -- 105 in binary is: 01101001 -- Bitwise And result: 01001000 a = BIT_AND(a, b) -- a is now 72 |
| Parameters: | ||
| number | a | First value. a is floored. |
| number | b | Second value. b is floored. |
| Description: |
|
Bitwise Operator - Bitwise Or Performs a 32-bit logical Or for each bit. Returns the resulting number. |
| Example Usage: |
|
local a = 202 local b = 105 -- 202 in binary is: 11001010 -- 105 in binary is: 01101001 -- Bitwise Or result: 11101011 a = BIT_OR(a, b) -- a is now 235 |
| Parameters: | ||
| number | a | First value. a is floored. |
| number | b | Second value. b is floored. |
| Description: |
|
Bitwise Operator - Bitwise XOr Performs a 32-bit logical XOr for each bit. Returns the resulting number. |
| Example Usage: |
|
local a = 202 local b = 105 -- 202 in binary is: 11001010 -- 105 in binary is: 01101001 -- Bitwise XOr result: 10100011 a = BIT_XOR(a, b) -- a is now 163 |
| Parameters: | ||
| number | a | Value to perform operation on. a is floored. |
| Description: |
|
Bitwise Operator - Bitwise Not Performs a 32-bit logical Not for each bit. Returns the resulting number. |
| Example Usage: |
|
local a = 202 -- Since these Bitwise operators are 32-bit, all 32 bits are calculated. -- 202 in binary is: 00000000 00000000 00000000 11001010 -- Bitwise Not result: 11111111 11111111 11111111 00110101 -- If you want to grab only the first byte, use BIT_AND as such: -- BIT_AND(BIT_NOT(a, b), 255) -- 255 is 00000000 00000000 00000000 11111111 -- See BIT_AND for more details a = BIT_NOT(a, b) -- a is now<PHONE_NUMBER> |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is a control character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsControl(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (iscntrl) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is a graphical (not whitespace or control) character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsGraphical(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (isgraph) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is a printable (not a control) character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsPrintable(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (isprint) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
local b = CharIsDigit(string.byte('a')) Check if character is a numerical digit character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsDigit(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (isdigit) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is a punctuation character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsPunctuation(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (ispunct) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is an alphabetical character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsAlphabetical(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (isalpha) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is an alphabetical or a numerical digit character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsAlphaNum(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (isalnum) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is a numerical digit character (including hexadecimal alphabetical characters.) Returns a boolean. |
| Example Usage: |
|
local b = CharIsXDigit(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (isxdigit) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is an UPPERCASE alphabetical character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsUppercase(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (isupper) |
| Parameters: | ||
| number | asciicode | The character in ASCII. |
| Description: |
|
Check if character is a lowercase alphabetical character. Returns a boolean. |
| Example Usage: |
|
local b = CharIsLowercase(string.byte('a')) -- see http://www.cplusplus.com/reference/clibrary/cctype/ for details. (islower) |
| Parameters: | ||
| boolean | condition | The condition result. |
| var | Name | The value returned if the condition is true. |
| var | Name | The value returned if the condition is false. |
| Description: |
|
Acts as the ?: trinary operator. If the condition is true, it will return the true_value . Else, it will return the false_value Returns either true_value or false_value if condition is true or false, respectivly. |
| Example Usage: |
| local a = IFELSE(someBool, 5, 2) -- if "someBool" is true, a = 5, else a = 2 |
| Parameters: | ||
| var | v | Value to check. |
| Description: |
Return true if value is nil .Returns a boolean. |
| Example Usage: |
|
if(IsNil(obj)) then Msg("obj is Nil!") end -- if the obj is nil, print a message |
| Parameters: | ||
| var | v | Value to check. |
| Description: |
Return true if value is a number .Returns a boolean. |
| Example Usage: |
|
if(IsNumber(obj)) then Msg("obj is a number!") end -- if the obj is a number, print a message |
| Parameters: | ||
| var | v | Value to check. |
| Description: |
Return true if value is a string .Returns a boolean. |
| Example Usage: |
|
if(IsString(obj)) then Msg("obj is a string!") end -- if the obj is a string, print a message |
| Parameters: | ||
| var | v | Value to check. |
| Description: |
Return true if value is a boolean .Returns a boolean. |
| Example Usage: |
|
if(IsBoolean(obj)) then Msg("obj is a boolean value!") end -- if the obj is a boolean, print a message |
| Parameters: | ||
| var | v | Value to check. |
| Description: |
Return true if value is a function .Returns a boolean. |
| Example Usage: |
|
if(IsFunction(obj)) then Msg("obj is a function!") end -- if the obj is a function, print a message |
| Parameters: | ||
| var | v | Value to check. |
| Description: |
Return true if value is a table .Returns a boolean. |
| Example Usage: |
|
if(IsTable(obj)) then Msg("I AM THE TABLE") end -- if the obj is a table, print a message |
| Parameters: | ||
| var | v | Value to check. |
| Description: |
Return true if value is userdata .Returns a boolean. |
| Example Usage: |
|
if(IsUserdata(obj)) then Msg("obj is userdata!") end -- if the obj is userdata, print a message |
| Parameters: | ||
| KEY_ENUM | key | Key value. |
| Description: |
|
Get a string describing the key. Returns a string. |
| Example Usage: |
|
-- Print key description when key is sent to the Component. function Component:onKeyPressed(key, ctrl, shift, alt) Msg(KeycodeToString(key)) end |
| Parameters: | ||
| string | msg | Text to send to game console. |
| Description: |
|
Send text to the game console. Returns nothing. |
| Example Usage: |
|
Msg("Hello!") -- Output: "Hello!" |
| BLEND_NONE | No blending. |
| BLEND_ALPHA | Alpha blending. This is the default for graphical objects. |
| BLEND_ADD | Additive blending. |
| BLEND_MULTIPLY | Multiply blending. |
| Example Usage: |
| local shp = game.create_rect(0, 0, 100, 100, Color(255, 0, 0)) shp:SetBlendMode(BLEND_ADD) self:Draw(shp) --draws an additive 100x100 red rectangle |
| TYPE_NUMBER | Number type. |
| TYPE_STRING | String (Text) type. |
| TYPE_ANY | Any type. This allows any types to be sent to the respective input. Note: This is not allowed for outputs. |
| MOUSEBUTTON_LEFT | Left mouse button. |
| MOUSEBUTTON_RIGHT | Right mouse button. |
| MOUSEBUTTON_MIDDLE | Middle mouse button. |
| MOUSEBUTTON_X1 | X1 mouse button. |
| MOUSEBUTTON_X2 | X2 mouse button. |
| KEY_A | A |
| KEY_B | B |
| KEY_C | C |
| KEY_D | D |
| KEY_E | E |
| KEY_F | F |
| KEY_G | G |
| KEY_H | H |
| KEY_I | I |
| KEY_J | J |
| KEY_K | K |
| KEY_L | L |
| KEY_M | M |
| KEY_N | N |
| KEY_O | O |
| KEY_P | P |
| KEY_Q | Q |
| KEY_R | R |
| KEY_S | S |
| KEY_T | T |
| KEY_U | U |
| KEY_V | V |
| KEY_W | W |
| KEY_X | X |
| KEY_Y | Y |
| KEY_Z | Z |
| KEY_0 | Num 0 (Num and Numpad numbers are different codes) |
| KEY_1 | Num 1 (Num and Numpad numbers are different codes) |
| KEY_2 | Num 2 (Num and Numpad numbers are different codes) |
| KEY_3 | Num 3 (Num and Numpad numbers are different codes) |
| KEY_4 | Num 4 (Num and Numpad numbers are different codes) |
| KEY_5 | Num 5 (Num and Numpad numbers are different codes) |
| KEY_6 | Num 6 (Num and Numpad numbers are different codes) |
| KEY_7 | Num 7 (Num and Numpad numbers are different codes) |
| KEY_8 | Num 8 (Num and Numpad numbers are different codes) |
| KEY_9 | Num 9 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD0 | Numpad 0 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD1 | Numpad 1 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD2 | Numpad 2 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD3 | Numpad 3 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD4 | Numpad 4 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD5 | Numpad 5 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD6 | Numpad 6 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD7 | Numpad 7 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD8 | Numpad 8 (Num and Numpad numbers are different codes) |
| KEY_NUMPAD9 | Numpad 9 (Num and Numpad numbers are different codes) |
| KEY_F1 | F1 Function Key |
| KEY_F2 | F2 Function Key |
| KEY_F3 | F3 Function Key |
| KEY_F4 | F4 Function Key |
| KEY_F5 | F5 Function Key |
| KEY_F6 | F6 Function Key |
| KEY_F7 | F7 Function Key |
| KEY_F8 | F8 Function Key |
| KEY_F9 | F9 Function Key |
| KEY_F10 | F10 Function Key |
| KEY_F11 | F11 Function Key |
| KEY_F12 | F12 Function Key |
| KEY_F13 | F13 Function Key |
| KEY_F14 | F14 Function Key |
| KEY_F15 | F15 Function Key |
| KEY_ESCAPE | ESC |
| KEY_LCONTROL | Left Ctrl (Control) |
| KEY_LSHIFT | Left Shift |
| KEY_LALT | Left Alt (Alternate) |
| KEY_LSYSTEM | Left System Key (sometimes referred to as the "Windows Key") |
| KEY_RCONTROL | Right Ctrl (Control) |
| KEY_RSHIFT | Right Shift |
| KEY_RALT | Right Alt (Alternate) |
| KEY_RSYSTEM | Right System Key (sometimes referred to as the "Windows Key") |
| KEY_MENU | Menu Key (sometimes referred to as the "Context Key" or "Application Key") |
| KEY_LBRACKET | Left Bracket [ |
| KEY_RBRACKET | Right Bracket ] |
| KEY_SEMICOLON | Semicolon ; |
| KEY_COMMA | Comma , |
| KEY_PERIOD | Period . |
| KEY_QUOTE | Quotation ' |
| KEY_FRONTSLASH | Front Slash / |
| KEY_BACKSLASH | Back slash \ |
| KEY_TILDE | Tilde key ~ or ` (sometimes referred to as the "Grave Accent Key (`)" or "Console Key", as it's a commonly used key for opening an application's console) |
| KEY_EQUAL | Equal = |
| KEY_DASH | Dash/Hyphen - |
| KEY_SPACE | Spacebar |
| KEY_RETURN | Return/Enter/Send |
| KEY_BACKSPACE | Backspace |
| KEY_TAB | Tab |
| KEY_PAGEUP | Page Up (PgUp) |
| KEY_PAGEDOWN | Page Down (PgDn) |
| KEY_END | End |
| KEY_HOME | Home |
| KEY_INSERT | Insert/Ins |
| KEY_DELETE | Delete/Del |
| KEY_ADD | Numpad + |
| KEY_SUBTRACT | Numpad - |
| KEY_MULTIPLY | Numpad * |
| KEY_DIVIDE | Numpad / |
| KEY_LEFT | Left Arrow |
| KEY_RIGHT | Right Arrow |
| KEY_UP | Up Arrow |
| KEY_DOWN | Down Arrow |
| KEY_PAUSE | Pause |


Provides a default implementation of the RV commands used in setting up a file transfer connection between two users. @see net.kano.joscar.rvproto.ft @see net.kano.joscar.snaccmd.CapabilityBlock#BLOCK_FILE_SEND


With User Activation v2, the activation is available only in ancestor (container) frames:
1. Turn on repeated popup attempts in any frame. 2. Click on any frame to "activate" it. 3. Check the logs for popup success/failure.
Frame
Try to popup every 5sec?
Log:


this is a great lecture, right
this is a great lecture, right
h1 heading
h2 heading
h2 heading
this is a great lecture, righ?


It should be noted that the use of @next is not possible for the Registration Number outputLabel and the for attribute should utilize an ID as shown in the example. The other outputLabel and inputText fields do not require this as they are the natural next element whereas Registration Number is encapsulated in a column.


Feature: Task 1 | Traditional | Tools Buttons Validation
As a test engineer, I'd like to validate that the Account, Wishlist and Cart buttons are visible on Laptop and Wishlist is hidden on Tablet and Mobile.
Before
Hook
open https://demo.applitools.com/gridHackathonV1.html#0
Then
I expect that Account, Wishlist and Cart buttons are visible on Laptop and Wishlist button is hidden on Tablet and Mobile
+ Show Error
+ Show Info
+ Screenshot
Actual: undefined Expected: undefined Stack: AssertionError: Search Bar Validation Test failed. Here are the issues: tools list with selector //ul[@id="UL__toptools__46"] is not displayed account link with selector //ul[@id="UL__toptools__46"]//a[@class="access_link"] is not displayed: expected 2 to equal 0 at World.(anonymous) (/Users/barresiv/Workspace/applitools-hackathon-applifashion/src/steps/specs/task 1/traditional/sub-header-tools-buttons-validation.spec.js:59:112) at processTicksAndRejections (internal/process/task_queues.js:93:5) at World.executeAsync (/Users/barresiv/Workspace/applitools-hackathon-applifashion/node_modules/@wdio/utils/build/shim.js:123:12) at World.testFrameworkFnWrapper (/Users/barresiv/Workspace/applitools-hackathon-applifashion/node_modules/@wdio/utils/build/test-framework/testFnWrapper.js:63:14)
shopping cart link is displayed
wishlist link is not displayed
After
Hook
After
Hook
Before
Hook
open https://demo.applitools.com/gridHackathonV2.html#0
Then
I expect that Account, Wishlist and Cart buttons are visible on Laptop and Wishlist button is hidden on Tablet and Mobile
+ Show Error
+ Show Info
+ Screenshot
Actual: undefined Expected: undefined Stack: AssertionError: Search Bar Validation Test failed. Here are the issues: wishlist link with selector //ul[@id="UL__toptools__46"]//a[@class="wishlist"] is displayed: expected 1 to equal 0 at World.(anonymous) (/Users/barresiv/Workspace/applitools-hackathon-applifashion/src/steps/specs/task 1/traditional/sub-header-tools-buttons-validation.spec.js:59:112) at processTicksAndRejections (internal/process/task_queues.js:93:5) at World.executeAsync (/Users/barresiv/Workspace/applitools-hackathon-applifashion/node_modules/@wdio/utils/build/shim.js:123:12) at World.testFrameworkFnWrapper (/Users/barresiv/Workspace/applitools-hackathon-applifashion/node_modules/@wdio/utils/build/test-framework/testFnWrapper.js:63:14)
tools list is displayed
account link is displayed
shopping cart link is displayed
After
Hook
After
Hook


Dependencies
Dependencies
Themes are written using Sass to keep things modular and reduce the need for repeated selectors across files. Make sure that you have the reveal.js development environment including the Grunt dependencies installed before proceding: https://github.com/hakimel/reveal.js#full-setup
Creating a Theme
To create your own theme, start by duplicating a .scss
file in /css/theme/source. It will be automatically compiled by Grunt from Sass to CSS (see the Gruntfile) when you run grunt css-themes
.
Each theme file does four things in the following order:
-
Include /css/theme/template/mixins.scss Shared utility functions.
-
Include /css/theme/template/settings.scss Declares a set of custom variables that the template file (step 4) expects. Can be overridden in step 3.
-
Override This is where you override the default theme. Either by specifying variables (see settings.scss for reference) or by adding any selectors and styles you please.
-
Include /css/theme/template/theme.scss The template theme file which will generate final CSS output based on the currently defined variables.


An example of
<file-upload>
:
Without drop enabled:
Choose File
With drop enabled and images only:
Choose File
Images only
Choose File


Summary: An easy difficulty machine hosted on HackTheBox requiring basic OSINT skills, knowledge of how to exploit permission misconfigurations, knowledge of ssh keys and exploitation of motd.
Kicking off, we find that both ports 22 and 80 are open and we've identified the software running on each port. When we navigate to the web page it seems to have been... defaced???
If we take a look at the page source we can find a comment near the bottom with a cryptic message.
And if we search this phrase we find a repo under the name of the person who defaced the site as well as the message we found, which shares the same name as their web shells repo.
Here we find a list of a bunch of different web shells and by trying each one we're able to identify 'smevk.php' as the one installed on the machine!
To find the credentials for the shell all we need do is check out it's code on the aformentioned repo and we're in!
Now most of what we need is already built into smevk.php but it's always better to have direct reverse shell access so we can move around in the system freely. Here we will upload our reverse shell, set up our nc listener and call the script via our browser to catch the connection on our listener!
Next we want to enumerate the box and search for a way to escalate our priveleges. As per usual, we will transfer the ever handy LinEnum script onto the machine using nc. For guidance on how to do this check out the following tutorial.
Victim machine
Attacking machine
With the script where we now want it, we make it executable, run it and redirect the output to a file we'll name 'report'.
Now we want to exfiltrate our report to our attacking machine. We can't use the same method for transferring LinEnum this time, so we use python3's built in http.server function to host our own mini webserver hosting our report. Then from our attacking machine we grab the report using wget.
Looking through the report we find that a particular program called 'luvit' can be ran by webadmin without needing a password to sudo. The program is owned by sysadmin, therefore this seems to be our path towards privelege escalation.
As you can see we can use the '-u' option for sudo to specify that we want to run luvit as sysadmin. luvit is a command line tool that doubles as a scripting platform similar to node but is written in Lua and allows us to run Lua functions/scripts.
Here we use the 'execute' function in Lua's OS library, which will run whatever command we pass as an argument. As you can see we are successfly able to spawn ourselves a shell as sysadmin and grab the user flag! (*•̀ᴗ•́*)و ̑̑
Before we attempt anything else we first want to upgrade our shell so it's more convenient to use, our current one is pretty tacky. For guidance on this check out this guide!
Checking Term and stty requirements
Upgrading shell
Our next step was to gain root access. This time LinEnum didn't find anything for us to work with and it seemed like we had hit a wall. However, after some searching we found a tool called pspy which allowed us to see processes running in real time without the need to have root access!
So we download the binary for pspy and using nc we transfer it to the victim machine.
Attacking machine
Victim machine
When we make the binary executable and run it, pspy will start printing out any processes it detects. There's an unusual process/cronjob here which seems to deal with backups and is ran every 30 seconds. It seems to be copying the contents of one folder into another.
The folder the backups are being copied to seem to hold a bunch of different shell scripts that print various information. Let's look into 'motd' for some better context on what this is used for.
From what we can gather motd or 'message of the day' is a file that is displayed/run after a successful login. update-motd installs a cronjob which executes each script in /etc/update-motd.d and writes the output of each script /etc/motd.
If we take a look at the permissions of the script we can see that they are owned by the root user. It is then possible that these scripts are being ran as root when executed. The only problem is, how do we log in to trigger motd?
Well now that we have user access to the box we can actually generate our own ssh key to login to the server without a password! For info on how this works check out this tutorial.
It's best practice to use 'ssh-copy-id' to transfer our key to the server but here, I opted to use nc instead.
Attacking machine
Victim machine
Once the key is on the server we can inject it into sysadmin's authorized keys file and test it out to see if we can login. And, bingo!
Next we'll run a quick test to confirm that motd works the way we believe it does. We inject some dummy data into the '00-header' script and login before the modified script can be overwritten by the backups (30 second time frame). And as we can see, once we login successfully our dummy data is displayed.
Next let's test commands and try to see if we can confirm our privelege. This time we inject the script with the 'whoami' command in hopes it will run and tell us which user is running said script. Once we login, we can see that motd displays 'root' meaning it ran our command and we now have root privelege code execution!
Now we want to reach our goal of root shell access. For this we will inject a php one liner reverse shell into the script in hopes we can catch the connection. The one liner can be found here (note the backslashes in the screenshot used to string escape the quotation mark and dollar characters).
Now all that's left to do is setup our nc listener, run the modified script, login to ssh and boom! We now have root access and the root flag. (´⌣`ʃƪ)


Market Update
Bitcoin Price Returns to $8.7K as Resistance Becomes New Bull Support
by William SubergBitcoin (BTC) fell below $8,700 on Nov. 11 after a fresh downturn once again ended its stay above the $9,000 mark.
Cryptocurrency market daily overview. Source: Coin360
Bitcoin tests high $8Ks support
Data from Coin360 shows BTC/USD reembracing the $8,000 zone after spending much of Sunday evening higher, reaching around $9,100.
At press time, the pair had just said a new three-day low of $8,695, subsequently bouncing slightly higher towards $8,800. Bitcoin has languished around that price since Nov. 8, having previously fallen from a range between $9,000 and $9,500.
Bitcoin seven-day price chart. Source: Coin360
Despite the drop, however, analysts appeared neither surprised nor bearish about the overall trend.
In a Twitter update on Monday, the popular account known as Crypto Bull highlighted the fact that a dip to current levels represented previous resistance now acting as support.
“Just testing that support again,” he told followers, referencing Bitcoin’s dramatic run-up from $7,400 to over $10,500 from Oct. 26.
Others, such as regular Cointelegraph contributor Michaël van de Poppe, had previously said a breakout from range-bound trading between $9,000 and $9,500 was long overdue.
As Cointelegraph reported, attention should now focus on the Moving Average Divergence Convergence, or MACD indicator, which could potentially point the way to a bullish move in the coming several weeks.
Altcoins stationery as BTC wavers
Altcoins meanwhile broadly followed Bitcoin’s modest price drop on Monday, with most major tokens seeing losses of around 1%.
Ether (ETH), the largest altcoin by market cap, fell by 0.6% to just under $186.
Ether seven-day price chart. Source: Coin360
Others stayed similarly static, with the except of XRP, which lost 1.6%, and Bitcoin SV (BSV), 3% lower.
The overall cryptocurrency market cap was $240.9 billion at press time, with Bitcoin’s share totaling 66.1%.
Keep track of top crypto markets in real time here


Type in the name or number of a train to filter down the list, then
click on the train number you want to view its current and historical status.
You can also use more advanced searches such as
"to malvern" or "malvern to" (withouth the quotes) to see all trains
which end (or originate at) Malvern.


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Advanced Statistics
Course Description: This course is a survey course over topics of the use of statistics in psychology, which will cover advanced statistical procedures from ANOVA (between, repeated measures, multivariate), regression (multiple, log linear), and pictures (canonical correlation, multidimensional scaling, factor analysis). Not all analyses are used in teaching the course, as other videos and designs are grouped with this page. You can find the files for these videos in the other folder of the downloadable set. My dummies guides for R and SPSS with write up examples are also included in these folders.
- Cite: Buchanan, E. M. (2020, March 14). Advanced Statistics. https://doi.org/10.17605/OSF.IO/DNUYV
- OSF Page: https://osf.io/dnuyv/
- GitHub Page: https://github.com/doomlab/statsofdoom-files/tree/master/advanced
SPSS & VassarStats
Extra Videos
Click to see video list.
| Section | Title | Link | Materials | Person | Year Taught |
|---|---|---|---|---|---|
| Regression | SPSS - Moderated Mediation with PROCESS (Model 7) | https://youtu.be/znhs2dqnruk | https://github.com/doomlab/statsofdoom-files/tree/master/advanced/SPSS | Dr. B | Fall 2016 |
| Regression | SPSS - Mediation with PROCESSv3 MPA Talk | https://youtu.be/JOyBdpdcQNk | https://github.com/doomlab/MeMoBootR | Dr. B | Spring 2018 |
| Regression | SPSS - Mediation with PROCESS (Model 4) | https://youtu.be/D7wt9s0siNY | https://github.com/doomlab/MeMoBootR | Dr. B | Summer 2018 |
| Regression | SPSS - Mediation with PROCESS Categorical Variables (Model 4) | https://youtu.be/r2_zw4G55X0 | https://github.com/doomlab/MeMoBootR | Dr. B | Summer 2018 |
| Regression | SPSS - Serial Mediation with PROCESS and Covariates (Model 6) | https://youtu.be/DOQkBcT-Zzk | https://github.com/doomlab/MeMoBootR | Dr. B | Summer 2018 |
| Regression | SPSS - Double Mediation using PROCESS (Model 6) | https://youtu.be/WFWWHF2zltc | https://github.com/doomlab/statsofdoom-files/tree/master/advanced/SPSS | Dr. B | Fall 2016 |
| Regression | SPSS - Moderation with PROCESSv3 MPA Talk | https://youtu.be/G_n2is4dE0k | https://github.com/doomlab/MeMoBootR | Dr. B | Spring 2018 |
| Regression | SPSS - Moderation with PROCESS with Covariates (Model 1) | https://youtu.be/HcrMju9DDvk | https://github.com/doomlab/MeMoBootR | Dr. B | Summer 2018 |
| Regression | SPSS - Moderation with PROCESS Categorical M (Model 1) | https://youtu.be/vSE7wOD3Xao | https://github.com/doomlab/MeMoBootR | Dr. B | Summer 2018 |
| Regression | SPSS - Double Moderation with PROCESS and Covariates (Model 2) | https://youtu.be/g1Blwq2lqew | https://github.com/doomlab/MeMoBootR | Dr. B | Summer 2018 |
| Regression | SPSS - Three Way Moderation - Interactions with PROCESS | https://youtu.be/4k8JFvJRw_w | https://github.com/doomlab/statsofdoom-files/tree/master/advanced/SPSS | Dr. B | Summer 2015 |
| Programming | SPSS - Composite Variables Example | https://youtu.be/8Lmwc8lXbf4 | NA | Emily Klug | Fall 2015 |
| Programming | SPSS - Introduction to Software Example | https://youtu.be/wINHrk3O-mE | NA | Katherine Miller | Fall 2015 |
| ANOVA | SPSS - One-Way Between-Subjects ANOVA Example | https://youtu.be/sG808s6jeWs | https://github.com/doomlab/statsofdoom-files/tree/master/advanced/SPSS | Rebecca Knoph | Fall 2015 |
| ANOVA | SPSS - One-Way Repeated Measures ANOVA Example 2 | https://youtu.be/WICrJEy_Hf4 | https://github.com/doomlab/statsofdoom-files/tree/master/advanced/SPSS | Rebecca Knoph | Fall 2015 |
| ANOVA | SPSS - Two-Way Repeated Measures ANOVA Example 2 | https://youtu.be/RLbbrlTF6cI | https://github.com/doomlab/statsofdoom-files/tree/master/advanced/SPSS | Rebecca Knoph | Fall 2015 |
| ANOVA | SPSS - Two-Way Between Subjects ANOVA Example 2 | https://youtu.be/LOqdM75U7Q4 | https://github.com/doomlab/statsofdoom-files/tree/master/advanced/SPSS | Rebecca Knoph | Fall 2015 |
R
Extra Videos
Click to see video list.
JASP & Excel
Extra Videos
Click to see video list.
| Section | Title | Link | Materials | Person | Year Taught |
|---|---|---|---|---|---|
| Programming | JASP - Introduction to Software Tutorial | https://youtu.be/MjGFUuRMWFE | NA | Emily Klug | Fall 2015 |


Dynamic Traffic Lights is an approach to automate the traffic signals through object detection. Dynamic Traffic Lights is a computer software program with the ability to detect the object (vehicles). It is a project based on Object detection technique. It requires training before it can be used, which requires you to install the system in the cameras. Initially, when the traffic signal turns to red, and 5 seconds prior when the signal turns to green, the object detection techniques starts counting number of vehicles and generate dynamic traffic time according to the number of vehicles and traffic density. Hence due to this system, traffic efficiency will improve and will be beneficial to everyone.
Our main objective is to consider this issue as our project definition and to reduce delay and help people to commute to their respective destination with safety and without burden of traffic congestion. It is a computer software program with the ability to detect the object (vehicles). It is a project based on Object detection technique. It requires training before it can be used, which requires you to install the system in the cameras.With the help of this project, it will help to conduct smooth simulation of the vehicles.
Traffic congestion is vital problem in every country, state, and city. Traffic congestion means vehicles travel slowly as there is too much traffic on every road. There are various other options to reduce traffic congestion, like cars can be banned in few districts or allowed during specific time, or people commute through public transport, but all these things are very difficult to adopt in big cities. So, the only solution is to reduce the traffic congestion. Congestion can also lead to reduction in road accidents as vehicles will commute very slowly. On the other hand, due to this congestion people won’t be able to travel to their respective destination. We cannot stop road accidents but we surely can try to reduce it with smooth simulation of vehicles during cross roads and hence, our project on Dynamic Traffic light will help us to reduce both issues.


The event is going to take place in three stages, so set your minds ON in learning mode and reserve your spot in this year's challenge!
Steps:
| 1 | Introduce the Contest plan and rules | |
| 2 | Server and Slack registration | |
| 3 | C++ concept recap (data types, general introduction) 30 minutes | |
| 4 | Order of time Difference between easy and complex problems Pseudocode Data structures Trees, Heaps Graph theory Dynamic programming | |
| 5 | Closure and preparation for the Slack training and final contest | |
| *We hold right that some more advanced topics might not be covered |


Configure the game by clicking the square area to define live cells.
The cell size can be configured using the slider situated above the play area.
Smaller cell size results in more cells, which leads to increased iteration time because there is no Web Worker to perform the live neighbours validation, yet.
Press the Start button to begin or to end the game iterations.


A Union object can be constructed from an object of any child type using an up-cast, e.g.:
Ti x = ...; auto u = (Union<T1, ..., Tn>)x;This will create a copy of x and assumes Ti is copy constructible.
The child object can be retrieved via a downcast, e.g.:
auto &y = (Ti &)u; auto y = (Ti)u; // AlternativeNote that it is undefined (nullptr dereference) if u was not constructed from a Ti object.
The type of a Union object can be retrieved at runtime via the index function, e.g.:
switch(index(u)) { ... }The index function returns 0 if u is the first child type, 1 for the second child type, etc. The index of a child type can be determined via the static function:
Union<T1, ..., Tn>::index<Ti>() = i-1
A Union object is compact, i.e.
sizeof(Union<T1, ..., Tn>) = sizeof(void *)This means that Union objects can be passed-by-copy without performance loss. A Union object is implemented internally as tagged pointers, and can support up to 16 child types.
See the documentation on value functions for more information.
Example 1We can use a Union to define a simple Maybe type as follows:
struct Nothing { }; template <typename T> using Maybe = F::Union<Nothing, T>; #define NOTHING Maybe<void>::index<Nothing>() #define JUST Maybe<void>::index<void>()This is analogous to the Maybe type from Haskell.
We can define Maybe comparison as follows:
template <typename T> int compare(Maybe<T> x, Maybe<T> y) { switch (index(x)) { case NOTHING: switch (index(y)) { case NOTHING: return 0; case JUST: return 1; } case JUST: switch (index(y)) { case NOTHING: return -1; case JUST: return compare((T)x, (T)y); } } }Example 2
We can define a List type as follows:
template <typename T> struct ListNode; struct ListEmpty; template <typename T> using List = F::Union<ListNode<T>, ListEmpty>; template <typename T> struct ListNode { T elem; List<T> next; }; #define LIST_EMPTY List<void>::index<ListEmpty>() #define LIST_NODE List<void>::index<ListNode<void>>()
We can calculate the length of a list as follows:
template <typename T> int length(List<T> xs) { int len = 0; while (true) { switch (index(xs)) { case LIST_EMPTY: return len; case LIST_NODE: len++; auto &node = (ListNode &)xs; xs = node.next; } } }
namespace F { template <typename T1, ..., typename Tn> struct Result { ... }; } |
A specialized tuple of objects. Unlike the related Tuple type, a Result can be used to return multiple values from a function without relying on heap allocated memory. Furthermore, Result can be matched using C++17's structure binding feature:
Result<float, float, float> get_point_3D(...); auto [x, y, z] = get_point_3D(...);This provides a convenient way to extract multiple return values from a function call.
An object of type Result is not necessarily compact.
namespace F { template <typename T1, ..., typename Tn> struct Tuple { ... }; } |
A tuple of objects. Unlike the related Result type, a a Tuple is a compact object and relies on heap allocation.
See the documentation on tuple functions for more information.
namespace F { template <typename T> struct Optional { ... }; } |
An optional object that may or may not hold the underlying value. Unlike the related Maybe type, an Optional is not a compact object.
See the documentation on value functions for more information.
namespace F { struct Nothing { // Empty }; template <typename T> using Maybe = Union<Nothing, T>; enum { NOTHING = Maybe<void>::index<Nothing>(), JUST = Maybe<void>::index<void>() }; } |
A maybe
type that may or may not hold a value.
Unlike the related Optional type, a
Maybe is a compact object and is more likely to rely on
heap allocation.
See the documentation on maybe functions for more information.
namespace F { struct Nil { // Empty }; template <typename T> struct Node; template <typename T> using List = Union<Nil, Node<T>>; template <typename T> struct Node { Value<T> elem; List<T> next; }; enum { NIL = List<void>::index<Nil>(), NODE = List<void>::index<Node<void>>() }; } |
A (singularly-linked) list type. See the documentation on list functions for more information.
namespace F { template <typename K, typename V> struct Map { ... }; } |
A key-value map type. See the documentation on map functions for more information.
namespace F { template <typename T> struct Set { ... }; } |
A set type. See the documentation on set functions for more information.
namespace F { template <typename T> struct Vector { ... }; } |
A vector type. See the documentation on vector functions for more information.
namespace F { struct String { ... }; } |
A unicode string type. See the documentation on string functions for more information.


If you like my work, please show your support by making a donation of your choice. I do my work on a tight budget and pay out of pocket to travel to events. All contributions will be invested in gear for better photos in the future!


The manuscript was almost exactly the same size as a magazine – a comfortable size for one person to hold in their hands, but only two or three people maximum could gather round and look at it together
This fragment contains chants and prayers and readings. It was probably a reference book, kept in a monastery or cathedral library, and referred to when there was some question about the liturgy for the day. It was certainly used in some way because it has been revised. Clearer melodies have been written in the margin, for the words “exultate” and “laus”. Marks under the text seem to show where phrases begin and end. They suggest that the manuscript was used after it was first copied, because they are in different ink from the main text


A simple filetype recognizer.
# determine the type of the given lang = FileType[file_name] # return :text if the file type is unknown lang = FileType.fetch file_name, :text # try the shebang line, too lang = FileType.fetch file_name, :text, true
Try to determine the file type of the file.
filename is a relative or absolute path to a file.
The file itself is only accessed when read_shebang is set to true. That means you can get filetypes from files that don’t exist.
# File lib/coderay/helpers/file_type.rb, line 29 def [] filename, read_shebang = false name = File.basename filename ext = File.extname(name).sub(/^\./, '') # from last dot, delete the leading dot ext2 = filename.to_s[/\.(.*)/, 1] # from first dot type = TypeFromExt[ext] || TypeFromExt[ext.downcase] || (TypeFromExt[ext2] if ext2) || (TypeFromExt[ext2.downcase] if ext2) || TypeFromName[name] || TypeFromName[name.downcase] type ||= shebang(filename) if read_shebang type end
This works like Hash#fetch.
If the filetype cannot be found, the default value is returned.
# File lib/coderay/helpers/file_type.rb, line 50 def fetch filename, default = nil, read_shebang = false if default && block_given? warn 'Block supersedes default value argument; use either.' end if type = self[filename, read_shebang] type else return yield if block_given? return default if default raise UnknownFileType, 'Could not determine type of %p.' % filename end end
Generated with the Darkfish Rdoc Generator 2.


--- layout: page title: How It Works description: A succinct overview of the entities in play within the Sarcophagus application. ---
Embalmer == User who creates a sarcophagus (dead man’s switch).
Recipient == The ETH address that will have access to the file once resurrected.
Archaeologist == Third party incentivized node operators.
Curse == The agreement between the Embalmer and Archaeologist.
Resurrection == The time the outer layer of the sarcophagus will be decrypted if not attested to.
Litepaper == A place to see how Sarcophagus works in more detail.
The user that creates a sarcophagus is called the Embalmer. When creating a sarcophagus, the Embalmer must provide several things:
When creating the sarcophagus, the Embalmer will be quoted a price for their settings denominated in SARCO tokens.
We call the contract between an Embalmer and an Archaeologist a 'curse'. When an Embalmer selects an Archaeologist to be responsible for resurrecting their file at the correct time, a portion of the Archaeologist’s posted bond is locked.
If the Archaeologist resurrects the sarcophagus too early (or late), this portion of their posted bond is burned, and the bounty is returned to the Embalmer.
Once cursed, an Archaeologist must perform their resurrection duties within specific parameters or they will be slashed. The Archaeologist must also post a bond in SARCO tokens to be available for new curses.
An Archaeologist is a third-party, disinterested, incentivized service provider. They operate the Archaeologist server, post bonds in SARCO, resurrect files when needed, and are rewarded for good behavior (They are also harshly punished for bad behavior).
After spinning up an Archaeologist server, the operator must set their own parameters for minimum digging fees, minimum bounty, and maximum resurrection time. This will allow the Embalmer to see the minimum price in SARCO that an Archaeologist will accept in order to be cursed.
Since the first step the Embalmer takes is to encrypt their payload client-side the Archaeologist is unable to view the contents of any sarcophagus, even if they maliciously attempt to resurrect it prematurely.


Remix this app to setup your own Civ6 - Discord thingy
You want to view the code, so you can see how it works and then remix me to create your own.
Remix this app to setup your own Civ6 - Discord thingy
You want to view the code, so you can see how it works and then remix me to create your own.


About Us
We cannot think of completing this project without our team's support and hardwork. Here is the list of our team member's who made this Job Easy.
Front End Developer
HariOm Dwivedi
Front End Developer
Harsh Tiwari
Back End Developer
Akshita Sharma
Back End Developer
Anush Krishna V.
and
Great mentor support


Instructions
Before we proceed with the interview read the below instruction
This bot takes interview for mean stack Profile
- It does not support small talks
- Answers should be in 1 sentence or maximum 2 sentence
- To exit the interview process
- Click Exit button
- Say exit
- Type Exit


Madam Boss reveals hubby’s likes
Madam Boss took to social media to reveal what her husband and manger Ngoni “Mhofela” Munetsiwa likes most on her body.
Madam Boss revealed that Ngoni liked her legs and her hair and was not interested in anything else.
She posted: “Zvinhu zviviri zvinodiwa namhofu pandiri ibvudzi neGumbo, zvimwe zvese havana kana basa nazvo.”
Many social media users complemented Madam Boss for her beauty and talent when it comes to acting.
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She said she was also humbled by the comments from fans on social media where celebrities are usually trolled. H-Metro


Requests kerberos tickets for all users with a non-null service principal name (SPN) and extracts them into a format ready for John or Hashcat.
Does not need Admin
https://github.com/PowerShellMafia/PowerSploit/blob/dev/Recon/
https://gist.github.com/HarmJ0y/53a837fce877e32e18d78acbb08c8fe9
moduleSource = self.mainMenu.installPath + "/data/module_source/credentials/Invoke-Kerberoast.ps1


#include "XREventHandler.h"
◆ XREventHandler()
| OpenXRProvider::XREventHandler::XREventHandler |
( |
std::shared_ptr< spdlog::logger > |
pLogger | ) |
|
Class Constructor
- Parameters
-
| [in] | pLogger | Pointer to the logger object |
◆ ~XREventHandler()
| OpenXRProvider::XREventHandler::~XREventHandler |
( |
| ) |
|
◆ DeregisterCallback()
| void OpenXRProvider::XREventHandler::DeregisterCallback |
( |
XRCallback * |
pXRCallback | ) |
|
|
inline |
De-register a registered callback in the OpenXR Provider event system
- Parameters
-
| [in] | pXRCallback | Pointer to callback that needs de-registering |
◆ GetXRCallbacks()
| std::vector< XRCallback * > OpenXRProvider::XREventHandler::GetXRCallbacks |
( |
| ) |
|
|
inline |
Getter for the array of callback function pointers
- Returns
- Array of callback function pointers that are currently registered in the OpenXR Provider event system
◆ RegisterCallback()
| void OpenXRProvider::XREventHandler::RegisterCallback |
( |
XRCallback * |
pXRCallback | ) |
|
|
inline |
Register a callback to the OpenXR Provider event system
- Parameters
-
| [in] | pLogger | Pointer to the logger object |
◆ m_pXRCallbacks
| std::vector< XRCallback * > OpenXRProvider::XREventHandler::m_pXRCallbacks |
|
private |
Array of callback function pointers that are currently registered in the OpenXR Provider event system.
◆ m_xrLastCallResult
| XrResult OpenXRProvider::XREventHandler::m_xrLastCallResult = XR_SUCCESS |
|
private |
Results of the last call to the OpenXR api.
The documentation for this class was generated from the following files:


Judging Judging Amy
By Chris Jackson
I should be on my way to Vegas.
A prediction I ventured back in May has come true (see Picturing
Justice article, "From
Baltimore to Providence: Its Farther Than You
Think").
At that time, NBC had cancelled
the steely crime drama Homicide: Life on the Streets,
and sentimental newcomer Providence was safely ensconced
among the top twenty shows. My guess was that televisions fall lineup
would include a spate of shows featuring thirty-ish urban professionals
returning home for a new start. Cincinnati or Phoenix
might be likely titles. I overlooked Hartford, location
and secret title of CBSs Judging Amy. Similar
to Providence, this show has snappier writing and substitutes
law for medicine as the main characters career. Still,
its a softy.
The ten-year marriage of corporate
lawyer Amy Gray (Amy Brenneman) is over. Nominated for a judgeship
in Hartford Countys Juvenile Court, Amy and her young daughter
(Karle Warren) flee New York City for the relative quiet of Connecticut.
The two move in with Amys mother, Maxine (the inimitable
Tyne Daly), a semi-retired social worker.  Vincents literary style
is, according to his agent, "Anne Tyler with testicles."
What can legal practitioners
learn from this series? So far the dramas focus on matters
of law has been pretty mushy. For Amy, presiding in family court
is like returning to kindergarten. In early episodes, Amy learns
when to call a recess and where to sit for lunch (with Maxine,
of course, who smiles and waves at everyone in the cafeteria).
Its hard to believe that
Judge Gray is a Harvard Law grad with corporate law experience.
After a family workers recommendation to the court, Amy
asks, "What does that mean?" The woman responds,
"What part?" Amy says, "All of it."
Eventually, Judge Gray suggests that a childs grandmother
may be a more suitable caretaker than a foster family. Maxine
would beam with pride.
Other cases testing Amys
ethical and legislative mettle concern a possible conflict of
interest, a defendant claiming multiple personality disorder,
and a violent juvenile offender. One of her decisions is appealed.
Judge Gray has yet to cite any precedents or display legal knowledge.
The four or five shows Ive seen avoid actual rulings and
are long on continuances.
Every episodes
credits end with a clip of Amy scampering down a hall, judicial
robe floating behind her. The shot is a mirror image from that
saga of teen angst, My So-Called Life. Amys professional
world of the courthouse is only high school, and all these new
people are just cliques in the cafeteria. For courtroom role
models, better watch The Practice or Sam Waterston and
Angie Harmon in Law and Order.
Spiritual guidance, however,
is the series strong suit. This is a show in search of
wisdom rather than justice. The biggest burden on Amys
shoulders seems to be balancing professional duties with personal
responsibilities. Ironically, Amy becomes a judge in family court
just as her own marriage is crumbling. Prior to being sworn in,
Amy faces her precocious daughter, Lauren.
Amy: This judge thing is
really cool but the most important job Ill ever have is
being your mom. [pause for effect] How was that?
Lauren: Pretty good. Now,
lets get sworn in.
Living with Mom and other family
members represents another challenge for Judge Gray. Like "Providence,"
the show brims with babies and dogs. In some of the at-home scenes,
the sap flows freely.
Bing bong. "Now, who
comes to visit at dinner time?" Maxine asks, but we
already know.  This happens just in
time to give the childless Jillian a taste of child-rearing.
Who wouldnt love this big old house filled with wacky relatives?
Even the dorky older brother shows his warm side when he and
Vincent go out for some brewskys.
Despite cornball plots and
soft-focus shots of family portraits, the dialogue at home includes
some spice. After Amy and Maxine fight, Vincent tells Amy to
ease up.
Vincent: Cmon. Throw
Mom a bone.
Amy: She doesnt want
a bone; she wants the whole cow.
In another scene, Maxines
ham-handedness leaves only her and Vincent at the dinner table.
Vincent: You sure know
how to clear a room.
Maxine: It hasnt
worked on you yet.
 Her home is a sprinkler system of wisdom. Even the family
dogs name is Socrates. When Jillian leaves Peter and moves
in with Maxine, Mom spins out a little homily. "Jillian,
did you let Socrates out by himself? You should go with him.
Then he will do what he needs to do." Translation:
Go back to Peter.
Maxines goal is to show
her offspring how to be adults. Her advice to Amy about being
a judge? "Pee before you take the bench, and make sure
theres no food in your teeth. Trust your instincts."
You never heard such tasty tidbits in law school. Armed with
these truths, who needs LSATs and mock trials?
My crystal ball is ready with
its next prediction: a three-five year run for Judging Amy,
despite a time slot opposite ABCs NYPD Blue starting
in January. Sharp writing and fine acting make the show appealing.
There are already indications that Amy on the bench is wising
up, and Maxine will display more vulnerability. The ethos that
family must be preserved is a sea change from other crime and
cop dramas. "Amy" is comfort food for tired, hungry
professionals who feel adrift in the career world. They can watch,
learn a little something about how to survive mistakes, and feel
secure with Maxines wisdom that "There are no
formulas."
Posted December 19,
1999
Would you like to comment on this
article? Please submit your comments here.
| Related
Articles and Links |
|
|
|
- CBS: Judging
Amy - former
New York City attorney (Amy Brenneman), moves in with her mother
Maxine (Tyne Daly), when she's selected to become a Juvenile
Court Judge in her old hometown.
- Judging
Amy - fan site
with episode guide, pictures, articles, news and discussion forum
|
|
|


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In a magnetic ﬁeld, given a particle location and velocity (x,v), we know how to calculate its guiding-center location X, i.e.,
|
| (8) |
where e∥ = B0∕B0, Ω = qB0∕m, B0 = B0(x) is the equilibrium (macroscopic) magnetic ﬁeld at the particle position. We will consider Eq. (8) as a transform and call it guiding-center transform[1]. Note that the transform (8) involves both position and velocity of particles.
For later use, deﬁne ρ ≡−v × e∥∕Ω, which is the vector gyro-radius pointing from the the guiding-center to the particle position.
Given (x,v), it is straightforward to obtain X by using Eq. (8). On the other hand, the inverse transform, i.e., given (X,v), to ﬁnd x, which is in principle not easy because Ω and e∥ depend on x, which usually requires solving for the root of a nonlinear equation. Numerically, one can use
|
| (9) |
as an iteration scheme to compute x, with the initial guess chosen as x0 = X. The equilibrium magnetic ﬁeld we will consider has spatial scale length much larger than the thermal gyro radius ρ. In this case the diﬀerence between the values of e∥(x)∕Ω(x) and e∥(X)∕Ω(X) is small and thus can be neglected. Then the inverse guiding-center transform can be written as
|
| (10) |
which can also be considered as using the iterative scheme (9) to computer x with initial guess of x being X and stopping at the ﬁrst iteration. [The diﬀerence between equilibrium ﬁeld values evaluated at X and x is always neglected in gyrokinetic theory. Therefore it does not matter whether the above e∥∕Ω is evaluated at x or X. What matters is where the perturbed ﬁelds are evaluated: at x or at X. The values of perturbed ﬁelds at x or at X are diﬀerent and this is called the ﬁnite Larmor radius (FLR) eﬀect, which is almost all that the gyrokinetic theory is about.]
The inverse guiding-center transformation (10) needs to be performed numerically in gyrokinetic PIC simulations when we deposit markers to grids or when we calculate the gyro-averaged ﬁeld to be used in pushing guiding-centers.


1.1 Regions of memory / 1.2 Addresses
The memory map of the Z-machine is an array of bytes with "byte addresses" running from 0 upwards. This is divided into three regions: "dynamic", "static" and "high". Dynamic memory begins from byte address $00000 and runs up to the byte before the byte address stored in the word at $0e in the header. (Dynamic memory must contain at least 64 bytes.) Static memory follows immediately on. Its extent is not defined in the header (or anywhere else), though it must end by the last byte of the story file or by byte address $0ffff (whichever is lower). High memory begins at the "high memory mark" (the byte address stored in the word at $04 in the header) and continues to the end of the story file. The bottom of high memory may overlap with the top of static memory (but not with dynamic memory).
Dynamic memory can be read or written to (either directly, using loadb, loadw, storeb and storew, or indirectly with opcodes such as insert_obj and remove_obj).
By tradition, the first 64 bytes are known as the "header". The contents of this are given later but note that games are not permitted to alter many bits inside it.
It is legal for games to alter any of the tables stored in dynamic memory above the header, provided they leave the tables in legal states.
Static memory can be read using the opcodes loadb and loadw. It is illegal for a game to attempt to write to static memory.
Except for its (possible) overlap with static memory, high memory cannot be directly accessed at all by a game program. It contains routines, which can be called, and strings, which can be printed using print_paddr.
The maximum permitted length of a story file depends on the Version, as follows:
V1-3 V4-5 V6-8 128 256 512
There are three kinds of address in the Z-machine, all of which can be stored in a 2-byte number: byte addresses, word addresses and packed addresses.
A byte address specifies a byte in memory in the range 0 up to the last byte of static memory.
A word address specifies an even address in the bottom 128K of memory (by giving the address divided by 2). (Word addresses are used only in the abbreviations table.)
***[1.0] A packed address specifies where a routine or string begins in high memory. Given a packed address P, the formula to obtain the corresponding byte address B is:
2P Versions 1, 2 and 3 4P Versions 4 and 5 4P + 8R_O Versions 6 and 7, for routine calls 4P + 8S_O Versions 6 and 7, for print_paddr 8P Version 8
R_O and S_O are the routine and strings offsets (specified in the header as words at $28 and $2a, respectively).
| Dynamic | 00000 | header |
| 00040 | abbreviation strings | |
| 00042 | abbreviation table | |
| 00102 | property defaults | |
| 00140 | objects | |
| 002f0 | object descriptions and properties | |
| 006e3 | global variables | |
| 008c3 | arrays | |
| Static | 00b48 | grammar table |
| 010a7 | actions table | |
| 01153 | preactions table | |
| 01201 | adjectives table | |
| 0124d | dictionary | |
| High | 01a0a | Z-code |
| 05d56 | static strings | |
| 06ae6 | end of file |
Inform never compiles any overlap between static and high memory (it places all data tables in dynamic memory). However, many Infocom games group tables of static data just above the high memory mark, before routines begin; some, such as 'Nord 'n' Bert...', interleave static data between routines, so that static memory actually overlaps code; and a few, such as 'Seastalker' release 15, even contain routines placed below the high memory mark. (The original idea behind the high memory mark was that everything below it should be stored in the interpreter's RAM, while what was above could reasonably be kept in "virtual memory", i.e., loaded off disc as needed.)
Note that the total of dynamic plus static memory must not exceed 64K. (In fact, 64K minus 2 bytes.) This is the most serious limitation on the Z-machine.
Throughout the specification, Versions 7 and 8 are identical to Version 5 except as stated at 1.1.4 and 1.2.3 above.
Section 1 / 2 / 3 / 4 / 5 / 6 / 7 / 8 / 9 / 10 / 11 / 12 / 13 / 14 / 15 / 16
Appendix A / B / C / D / E / F


Mr Andrew StrattonSenior University Teacher Telephone: +44 (0)<PHONE_NUMBER> |
| Profile |
BiographyI am a Senior University Teacher in the Department of Computer Science working for the Institute of Coding. I lead the Student Enterprises work package at UoS, building on the Genesys Software Company experience for the benefit of other Universities, Industry and Students. If you are a potential Student Entrepreneur, then please get in touch. I have 12+ years experience as a University Lecturer/researcher in Software Engineering and Computer Science. I also have 12+ years industry experience in mainly Java based Object Oriented Software Engineering including analysis, design, development, testing, research & development and mentoring. I believe strongly in the relevance of industry practice for software development education. Conferences I have been involved with include:
If I choose to, I have more letters after my name than are in my name:
|
|---|---|
| Industry Experience and Skills |
I have worked for 12+ years in industry, with roles including: IT Director - for a startup that didn't Since I spent 10+ years as a contractor, I have worked for many companies, including: IBM and IBM at ASDA, Leeds Some of the projects I worked on have become 'antiques' before their time: The Asda Home Shopping CD. They sent a new CD out their customers every time they needed to update the software. I will not admit to having any skill in PHP or SQL. |
| Teaching, Research & Education |
I have worked as an academic University Teacher/Lecturer at the University of Sheffield, Sheffield Hallam University and the Open University. I have also been a Research Associate at Warwick University and Parallel Computing Support Officer at Cardiff University. My research is focused around the Quando toolset, which offers Visual End User Development for non programmers. This was initially co-designed with museum staff for creating digital interactive exhibits without needing programming skills. |


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