War and Peace And Product
War and Peace And Product
In business as war, Product Managers are the consummate sergeants.
We are duty bound to help our fellow comrades understand and solve the current problem at hand, leading them through to victory. We are obsessed with efficiency of execution, opportunity and its capitalization therein. We love to lead from the front, and the best of us likewise love to have our boots muddied and body scraped with the same badges of warfare our teams bear.
Tactically, we excel: most of us strive to get the job done, done fast, and done well — rapid learning and pivoting and survival: our orders; JIRA and database queries and whiteboards: our weapons.
And yet, for all our talent in applying these skills to our business’ output, we generally struggle to apply these principles to the business, and our business, itself. We rarely rise above the roar of action to organize ourselves more methodically for the greater theater of war playing out above the trenches we too eagerly toil in.
Lead from the front though we may, we oft forget to or, more frequently, fail to command from the back. Sadly, in matters of war and scale, this is a fatal weakness, as with scale, as war, there become too many fronts to fight on effectively. And in that weakness comes failure: to grow, to evolve, to continue to succeed as a team, a unit, a business.
These observations are drawn from my own frustrated floundering, as I myself wade through the parallel, metaphorical war I draw parallels to in pursuit of the general’s stripes.

I wish this if only to help those I’ve fought with avoid the trench warfare which we’ve become all-too-acquainted.
As product companies grow in number, and the role becomes more mature, the challenge of scaling a product organization has become a more palpable one.
And so, with great optimism, I find myself gazing upward towards rank as I polish my boots, only to be moments later downcast by the stubborn realization that scaling up a product department is hard as— well, as Sarge might say, a pair of young boys with a Sears catalog.
Strategy vs. Tactics
Why the grim outlook? Chalk it up to some rough tours of duty.
As a sole product manager, or one in a very small group, it’s easy to act in the business’ best interest and remain effective. Divvying up the massive amounts of analysis, preparation, and decision-making into large, meaty chunks is relatively easy when you’ve but one lead and one set of troops to execute on larger skirmishes in isolation.
Prioritization is likewise an easier task: with only one execution funnel, it’s pretty simple to assess what will have the biggest impact whilst managing cross-team dependencies, and the inevitable challenges of cross-team communication, are non-issues. Kill the biggest, toughest guy first and then work your way down, you might say.
But once you have multiple platoons, and multiple sergeants, there emerges a game of thrones that too often goes played improperly, resulting in catastrophe.
In service of solving this problem, the many companies I’ve soldiered for have tried many different takes on how to organize a group of product managers and teams.
For the most part, these can be generalized into a singular approach: separating product management from product ownership or, in other words, separating the job into two, the strategic vs. the tactical.
Ultimately, this strategy is informed by the desire to have the tactical “owners” play the role of the sergeants — fighting in the shit directly with the teams, focusing on execution, and ensuring that no one dies along the way — while the strategic “managers” assume the rank of officers — looking beyond the immediate skirmishes to the bigger battles on the horizon; fretting not about implements but about positioning and timing; pouring over key strategic analysis and investigation necessary to avoid costly mistakes of leadership.
On paper, this strategy is sound, and in war and history, this strategy has proven successful time and time again. Establish a hierarchy, organize by rank, order from top-down, and bang, victory, yes?
Well, no. In the heat of battle, as modern war has shown us, hierarchy without execution excellence, without tactical consideration and context of the battle belied by the board’s game, often creates more tension and turmoil than it avoids.
Particular to product, asking the sergeants to go to war with no knowledge of the greater strategy is futile: tactical product owners need just as much business context as the would-be strategic product managers.
Trying to separate the role results in the “product owners” lacking critical context necessary to make good tactical decisions while “product managers” are distracted from tomorrow by the immediate fires of the here and now and subsequently do both jobs poorly.
As a result, like too many of our parallel forefathers and mothers, too often these product owners find themselves surrounded without the information needed to survive.
The Chain Of Command
So why, then, do so many companies try this approach fruitlessly?
I think at the heart of the decision stems an allergy to process and particularly the kind bound to autonomic decision-making necessary for effective tactical execution.
Process is largely a dirty word in a lot of product organizations, particularly engineering-centric ones. The general consensus seems to be that process equates to overhead and bureaucracy, which is in direct opposition to the notion of agility which drives modern-day product development (and is used for recruiting and retention, importantly, therein).
But process-driven development and waterfall are not synonymous, nor does process automatically inhibit innovation or stymie progress.
Good process should ensure that needless churn, needless cross-team “collaboration” (read: multi-hour meetings), and needless “design by committee” (countless stakeholders all of whom need to nod in agreement before executing) can be avoided. It, by design, speeds up execution — or, at least, it should.
Good process should streamline decision-making by identifying key artifacts and key decision-making frameworks which alleviate, rather than rely on, bottlenecks and result in a traceability that prevents both repeat mistakes and mid-execution interruptions.
Process, done right, is not for the managers: it’s for the executors. It should simplify execution, and it should enable teams to make autonomous decisions on lower-level, tactical matters without requiring the overhead of a chain-of-command. It should remove the friction of approvals, eliminate “running up the flagpole”.
And it’s there that the war analogy falls apart.
Admittedly, the thin red line separating a decision which is purely tactical from that which affects the strategic is blurry at best, and that’s where the classical definition of the chain of command falls apart.
Separating product owners from product managers fails because it leans too heavily on privileging strategy over tactics, on top-down management over bottom-up execution, on theoretical outcomes versus actual output.
Ironically, it is this stubborn complacence with the chain-of-command which unfortunately grinds our war machine to a halt more often than not.
The separation of duty, strategy from execution is misguided and simply does not work in the wars we fight. In our wars, seargents and generals need the same information; indeed, the distinction in this light is counter-productive.
Inevitably, tactical POs try to make decisions and fail, which results in a bunch of overhead requiring PMs and POs to constantly collaborate.
In short, this distinction prevents informed, autonomic, tactical maneuver based on information at the ground level without clearance from above — and that makes it not just pointless but in fact dangerous.
War Time vs. Peace Time
How, then, do we focus on the battle at hand and the greater war at large in tandem, then?
Doing so, I believe, requires re-defining what the “war” is in the context of product management and product development.
In my experience, the metaphor of war is really only applicable to the immediate release at hand. With that in mind, product managers become both sergeants and generals: they lead their army tactically and strategically, but they do so as “War Time” PMs.
The first version of a product is the war, as an example. It’s not a battle in the greater war on the product. No, version 2 is War II, and as such, the decisions for War I should be made entirely in the context of War I: for if you lose War I, there will be no II.
There exists an entire other body of work and thinking to be done, though: the long-term visionary work — the opportunistic assaults of tomorrow and the campaign-defining battles of thereafter.
I think, then, the better way to delineate work between two product managers in pursuit of scaling a product org is to instead cast the two as a “War Time” PM versus a “Peace Time” PM.
This may seem like a simple rebrand “strategic” vs. “tactical”, but I think there’s an important philosophical, and role-defining, distinction which makes all the difference.
War Time
In war time, say during an important customer delivery or a product migration, War Time steps in to take a given bit of product work right into the front-lines and ultimately to victory.
This PM prioritizes tactical work with a mind for the greater strategy at large, but if tasked with a decision to accommodate tomorrow’s battle at the behest of today’s skirmish, he or she will always strive for the most immediate win. He or she does so amongst his other War Time PMs, acting in the best interest of the war at hand.
This approach ensures that progress continues to be made in pursuit of immediate victory. Saving rations for tomorrow’s fight is pointless if today’s result is death.
Furthermore, War Time PM himself or herself must be entirely combat ready: he must be fully capable of surviving and thriving in trench warfare while paying heed to the greater game of chess playing out around him. He can’t simply forgo the fact that his immediate, tactical decisions affect the today’s of his peers in other platoons — and that’s a key element of War Time’s role.
Peace Time
In parallel, Peace Time can focus on the peace time tasks. He or she focuses on the far future, thinking about analytics and optimizations, dealing with the diplomacy of tomorrow’s battles (like external customer meetings for future releases).
Importantly, though, he or she does so without too much concern for how War Time is faring, thinking more on the business requirements or problem and the over-arching strategy than the nuances of implementation.
The key distinctions now come in to play, as we need to reconcile the two roles: how and when do Peace Time and War Time debrief? Over time, Peace Time will inevitably become out of touch with the realities of war that War Time had to accept and accommodate.
The missing piece of process here, then, requires Peace Time and War Time to debrief before and after switching times.
In times of peace, say right after a version has launched, War Time can focus on helping Peace Time understand and clean up some of the aftermath of the necessary tactical decisions while preparing for the next bout of war time.
(Of course, inevitably, there rarely exists a true “peace time” in our wars. And so, I think the last bit of organizational design is to rotate PMs in and out of the role of War Time.
In service of avoiding a single point of failure, PMs should be spreading knowledge and niche amongst one another, anyway, and no PM (nor team) can handle endless war time. This also ensures that every PM is equipped to handle both times.)
A War Of The Roses By Any Other Name
Admittedly, the distinction between “strategic vs. tactical” and “war time vs. peace time” may not read as clearly as it feels it would be when in the fray, but then, neither must the idea of taking orders from some officer thousands of miles away behind a computer for those of our soldiers on the actual front.
I think there are important differences, though:
- Allowing War Time the complete autonomy to decide what’s right for today’s battle is something that simply isn’t common — at least where I’ve been.
- Aligning War Time’s teams to the execution approach of War Time vs. Peace Time (which requires a great deal of institutional conditioning and acculturation; boot camp?)
- Ensuring War Time can actually fight in the trenches, including demonstrating competency in the weapons of the war at hand (e.g., the APIs, UX, and tech stack fulfilling the marching orders)
- Ensuring War Time can understand the larger battle strategy (e.g., where his fellow PMs are and how they’re fighting) and can make sound tactical decisions with all fellow platoons in mind
These are the key things that I think separate the too-simplistic (strategic vs. tactical) approach oft taken from one which may have a better chance to succeed.
Then again, these could just be the weary ramblings of a tired old sergeant who sits, pen and pad in hand, trying to make sense of a war that seems unyielding. Scaling a product team is hard, and the chain of command has existed, designed by smarter men for bigger wars.
Perhaps I’m naive to question it.
I’m left only to hope that, one of these days, in one of these wars, maybe I’ll finally make rank.


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[gecode-users] Branching and FlatZincGecode
Morten Boysen
boysen at itu.dk
Tue Jan 27 00:16:53 CET 2009
Hi,
I am trying to add new propagators to the FlatZincGecode space, and I
have some question regarding this:
1) What is the defualt variable order for the FlatZincGecode space?
2) If I want to add my own branching heuristic, I believe I need to
remove the branchings posted to the FlatZincGecode space or else my
branching will not have any effect. Is this true?
3) I want to make a branching that follows the standard "fail-first"
heuristic, that is, choose the value with the smallest domain possible
and then use a special value heuristic. As I understand I need to
implement a branching for the integer variables in the FlatZincGecode
space and a branching for the boolean variables. If I understand it
correctly, this means the search will process all integer variables
first and then the boolean variables or vice verse, depending on the
order the branching were posted to the space (the branching posted first
is tested first). Is this correct?
Thanks,
Morten Boysen
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I worked for years in IT and hardware. I've always loved being involved with what's new and next, and applying that knowledge and skill to creative problem-solving.
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Let's keep in touch, or feel free to follow my progress as I continue to learn and grow in this career. I'm always looking for new feedback and potential partners in this new chapter.


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Blowfish
Desktop app to retrieve and display your total Ocean Token balances.
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1 #ifndef FEUP_AEDA_PROJECT_LOCATION_MANAGER_H
2 #define FEUP_AEDA_PROJECT_LOCATION_MANAGER_H
4 #include "model/order/order.h"
21 std::set<std::string>
getAll();
29 bool has(
const std::string& location);
36 void add(
const std::string& location);
43 void remove(
const std::string& location);
50 void remove(
unsigned long index);
58 void read(
const std::string& path);
65 void write(
const std::string &path);
71 std::set<std::string> _locations;
Class that manages the store locations.
Definition: location_manager.h:9
void remove(const std::string &location)
Removes a location from the locations list.
Definition: location_manager.cpp:16
LocationManager()
Creates a new LocationManager object.
Definition: location_manager.cpp:4
void write(const std::string &path)
Writes to a file all of the locations data (name) that are on the store locations list.
Definition: location_manager.cpp:34
void add(const std::string &location)
Adds a location to the locations list.
Definition: location_manager.cpp:12
bool has(const std::string &location)
Checks if a certain location is on the locations list.
Definition: location_manager.cpp:8
void read(const std::string &path)
Reads from a file all of the locations data (name) and adds new objects created with that data to the...
Definition: location_manager.cpp:22
std::set< std::string > getAll()
Gets the list of all available locations.
Definition: location_manager.cpp:45


{% extends 'account/account_layout.html' %} {% load i18n %} {% load humanize %} {% block account_head_scripts %}{% include 'account/style.html' %}{% endblock %} {% block account_title %}Maintained by me |{% endblock %} {% block account_content %}
We tried looking for ports connected to these {{ using }} account(s): {% for i in connections %}{{ i }}{% if not forloop.last %}, {% endif %} {% endfor %}
No ports found. {% endif %} {% else %}
You have not connected any {{using}} account. Make sure that GitHub connection is active and emails are verified.
{% endif %} {% endblock %}


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A pool of 30,000,000 CUM is allocated for the creators and initial funders of the coin. An additional 200,000,000 CUM will be distributed through a decentralized crowdsale. The remaining coins will be distributed through UniSwap. UniSwap liquidity will be determined by Ethereum raised in the crowdsale.
Using OpenZeppelin upgradeable ERC20 contracts, CumCoin can be upgraded in the case an exploit is found or the community has agreed on some changes. None of these upgrades will be decided on and added to the blockchain until a big majority of the community has agreed on them, and all proposed changes will be published to the official Github repository first.
Before contributing, read this. While we all believe in CumCoin and want it to be successful, you need to be aware of the risks involved before making any contributions. That's why we want to make this clear: don't contribute more than you're prepared to lose. When you contribute to CumCoin, you're not buying CUM from anyone. Instead you're interacting with a decentralized contract on the Ethereum blockchain. By calling the contract's buyTokens function, you are set a balance internally in the contract, which you can check at any time using the balanceOf function. Note, you will not receive any tokens at this point. Once the crowdsale is over, you'll be able to call the withdrawTokens function. Calling this function will initiate a transfer of CUM from the crowdsale contract to the given address. Your entire balance will be transferred to the given address, after which your balance in the crowdsale will be reset to 0, preventing further withdrawals. By contributing to CumCoin, you understand that all contributions are final, and there cannot be any refunds or cancellations. You are also aware that there is no business behind CumCoin - you are simply interacting with a decentralized contract on the Ethereum blockchain. You understand that all decisions you make regarding CumCoin are your own, and you will bear their consequences. Again, don't contribute more than you're prepared to lose. (Click the 'I agree' button to continue if you agree to the above terms)
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{% extends "base/single_panel.html" %} {% block panel_body %}
Try jQuery EasyUI to build your modern, interactive, javascript applications.


Free-to-play real time strategy game featuring AI driven agents both commanded by and opposing the player. Game received over 45 thousand downloads from Steam. I served as project lead with a team of 9.
Oversee engineering, plan code structure and weekly goals to meet deadlines, break down daily tasks and delegate tasks to team members.
Build core mechanics including camera, player controller, and player abilities.
Design gameplay mechanics and gameplay objectives.


Inherits ArucoUnity.Board.
◆ Create()
| static CharucoBoard ArucoUnity.CharucoBoard.Create |
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◆ DeleteCvPtr()
| override void ArucoUnity.CharucoBoard.DeleteCvPtr |
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◆ Draw() [1/3]
| void ArucoUnity.CharucoBoard.Draw |
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outSize, |
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marginSize, |
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inline |
◆ Draw() [2/3]
| void ArucoUnity.CharucoBoard.Draw |
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Size |
outSize, |
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out Mat |
img, |
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int |
marginSize |
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inline |
◆ Draw() [3/3]
| void ArucoUnity.CharucoBoard.Draw |
( |
Size |
outSize, |
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out Mat |
img |
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) |
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inline |
◆ GetChessboardSize()
| Size ArucoUnity.CharucoBoard.GetChessboardSize |
( |
| ) |
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inline |
◆ GetMarkerLength()
| float ArucoUnity.CharucoBoard.GetMarkerLength |
( |
| ) |
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inline |
◆ GetSquareLength()
| float ArucoUnity.CharucoBoard.GetSquareLength |
( |
| ) |
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inline |
◆ chessboardCorners
◆ markerCorners
◆ markerIdx
The documentation for this class was generated from the following file:
- C:/Users/an15400/Documents/aruco-unity/src/aruco_unity_package/Assets/ArucoUnity/Scripts/CharucoBoard.cs


Town Tim was founded in 1998 in Egypt. It is considered one of the most famous Egyptian brands in the field of men's fashion and specialized in casual wear. Town Tim has been and continues to keep growing as a 15-year-old Egyptian brand that offers a chain of stores dotted with the most famous shopping malls and commercial locations across the country.
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The workhorse method, which uses TraceParser to parse the input files,
and calls the primary Synoptic functions to perform refinement\coarsening
and finally outputs the final graph to the output file (specified as a
command line option).
Compute invariants of a graph g by mining invariants from the transitive
closure using extractInvariantsUsingTC, which returns an
over-approximation of the invariants that hold (i.e.
Test constructor for simple case: a --> b --> c --> d should yield a
TransitiveClosure with the following arrows representing true values in
its tc map: a --> b b --> c c --> d a --> c b --> d a --> d and no others


This is a web page which analyses the Tire Quality Parameters
Team Members
Gabriel Nicolae-gxn031000
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Gecode::Int::Linear::ScaleBoolArray Class Reference
#include <linear.hh>
List of all members.
Detailed Description
Array of scale Boolean views.
Definition at line 1381 of file linear.hh.
Constructor & Destructor Documentation
| Gecode::Int::Linear::ScaleBoolArray::ScaleBoolArray |
( |
void |
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[inline] |
| Gecode::Int::Linear::ScaleBoolArray::ScaleBoolArray |
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Space * |
home, |
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int |
n | |
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Member Function Documentation
| void Gecode::Int::Linear::ScaleBoolArray::subscribe |
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Space * |
home, |
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p | |
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| | [inline] |
| void Gecode::Int::Linear::ScaleBoolArray::cancel |
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Space * |
home, |
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p | |
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| | [inline] |
| void Gecode::Int::Linear::ScaleBoolArray::update |
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Space * |
home, |
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bool |
share, |
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ScaleBoolArray & |
sba | |
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| | [inline] |
| ScaleBool * Gecode::Int::Linear::ScaleBoolArray::fst |
( |
void |
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) |
const [inline] |
| ScaleBool * Gecode::Int::Linear::ScaleBoolArray::lst |
( |
void |
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const [inline] |
Return pointer after last element.
Definition at line 84 of file bool-scale.icc.
| void Gecode::Int::Linear::ScaleBoolArray::fst |
( |
ScaleBool * |
f |
) |
[inline] |
| void Gecode::Int::Linear::ScaleBoolArray::lst |
( |
ScaleBool * |
l |
) |
[inline] |
| bool Gecode::Int::Linear::ScaleBoolArray::empty |
( |
void |
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) |
const [inline] |
| int Gecode::Int::Linear::ScaleBoolArray::size |
( |
void |
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) |
const [inline] |
| Support::Symbol Gecode::Int::Linear::ScaleBoolArray::type |
( |
void |
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) |
[inline, static] |
| void Gecode::Int::Linear::ScaleBoolArray::sort |
( |
void |
|
) |
[inline] |
Sort array in decreasing order of coefficients.
Definition at line 110 of file bool-scale.icc.
The documentation for this class was generated from the following files:


Bananium Labs
LaunchHacks
2TBS
It's Rude To Point
Bullet Heaven
AtomBlast
CarrotCane
AudiSea
Aegis
HotSwap
Honeydue
Aspicio
Two Terabyte Studios was formed in late Summer 2016 after working on the development of AtomBlast the prior year with the intent to create the first game development club at Monta Vista High School. We created four games as a club, one of which has been officially published.
2TBS operated towards the goal of educating the community in game development through real production by producing our own games from start to finish. Over our two years of operation, we have had over 30 current and past members, over 10 of whom create our core game development team with in-house artists, programmers, animators, designers, writers, and managers. While our preferred development engine is Unity, we are always open to experimentation, and have tested development through other popular engines such as Unreal Engine, Lumberyard, Godot, and GameMaker Studio.
As the code lead, I directed the 2TBS code team and worked closely with the lead organizers to oversee weekly meetings, design implementations, and timelines.
Bananium Labs was formed in November 2017 after numerous students consolidated and decided to work cooperatively. We decided to create an organization in which we could organize our various software projects, Git repositories, and hackathon submissions into one place. Never again would we have to have the hour-long debate surrounding whose account to associate our code to. What started as a small group of three developers grew quickly, as we began to look for more members to attend hackathons and contribute to our projects. So far, we have attended 8 hackathons (our projects are showcased below). We're also interested in game development- our game projects are organized within Two Terabyte Studios.
Bananium Labs is a 501c3 tax-exempt organization, obtained after a focus shift to better fit our present purpose of developing new and exciting projects and inspiring others to create their own projects. We offer a multitude of services and support to turn dreams into reality through promoting entrepeneurship and product ideation.
I am the cofounder and Director of Operations at Bananium Labs, playing a major role in nonprofit management and directing several projects, most notably LaunchHacks.
Launch Hacks is an annual high school hackathon. In addition to helping students improve their design and development skills, LaunchHacks aims to provide support to help students improve business and presentation skills- not just to pitch a successful project, but also to inspire the next generation of inventors, entrepreneurs, and leaders.
I was the lead director of the first edition of LaunchHacks, which took place in April 2019. Some of my contributions included logo design, managing relations with corporate donors, organizing catering, website design, and overseeing a team of 9 organizers.
Trisagion Games is a newly-formed indie game development studio with fellow developers Omar Hossain, Kevin Chu, and Nicholas Chen. This summer, we created three games from start to finish and participated in two game jams. In the future, we aim to release full games, both as a hobby and as a profession.
IRTP was created in 48 hours and submitted to Mark Brown's GMTK Game Jam 2019, the largest game jam on itch.io with over 2500 submissions.
Bullet Heaven was initially developed in 72 hours for ScoreSpace Jam 5, and is in the continued development stage. The official release will be announced soon!
AtomBlast is a project created in collaboration with BananiumLabs.
CarrotCane was awarded 1st Place Overall at TinoHacks II in 2018!
AudiSea was awarded 4th Place Overall at MenloHacks III!
Aegis was created as a part of BaseHacks 3.
Aspicio was developed for MVHacks 2017.


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{% extends "layout.html" %} {% block content%} Upload Choose Image File Choose Ground Truth BBox File Choose Prediction BBox File {% endblock %}


We have a wonderful team of people. Here is some other things:
All J-Tech developers are skilled in their area and make sure all products are as near to bug free as possible.
Our discord is filled with amazing people always happy to help with any problems you may have.
Our customer service team is ready and waiting for any questions or any problems you have with your J-Tech product, Give them a message via the discord server.
At J-Tech we pride ourselfs on having addons that work on all platforms!
We provide quality addons for all to use, As well as hiring staff.
We have differe type of pricing table to choose with your need. Check which one is most suitble for you.
All are staff are highly trained and ready to help you with any problem you have.
Here some of our favourite addons. Check which one is most suitble for you!
We provide marketing services to startups and small businesses
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More DetailsEverytime we are developing a new product. We will give you some information about it.


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Code Co-op integrates closely with Visual Studio.NET and Visual C++ 6.0, making it easy to add version control to your development projects. Once you've connected your development projects to Code Co-op projects, you'll be able to check out files automatically as you work on them.


Outlook for Mac
Outlook for Mac
One of the aspects that I thought would be good about working from home on the lockdown has come from being able to use my Mac. I’ve been able to use my Mac to do all things that I’d have to do on my Windows machine at work and it’s really given me a chance to see how the Mac would be able to perform my day to day job.
In general, it’s been good. The University runs Office 365, so I’m able to use the Microsoft apps on the Mac to happily access everything that I would normally be working on. Microsoft Teams is now replacing our shared server, so I have access to all the files I need to either on my Mac or my iPad and I can edit these - occasionally even within the Teams app itself.
One of the items I was looking forward to was using Spark. This is my iPad email app of choice and I have it setup with my work and personal emails on. I’d got it syncing with my phone and I use Spark for the Mac to access my personal emails.
However, the more I go through the quarantine, the more Spark is beginning to highlight issues. I thought I’d detail a few of the issues here, because as it turns out, Outlook for the Mac isn’t to bad - with a few tweaks.
Spark Conversation View
By default, Spark has conversation view and you can’t turn this off. It’s the default and everything follows it.
It hasn’t really proven to be an issue previously - it was a bit of a change for me, as I don’t tend to have this enabled, but it’s really come to head when I’ve been using it daily. The issue appears to be with forwarded emails, where I’ve been copied in or the message has been forwarded to me - I’ll get the email from the person that sent me the email, but the contents of the forwarded email is hidden until I click the unhide feature to see it all.
It’s a minor point but at the minute I’m getting copied in to a lot of emails like this and it’s additional effort when compared to just reading the email.
Outlook has conversation view, but I tend to have this turned off. However, even with conversation on, I can scroll down and view the whole email that I’ve been sent without further interaction.
Archiving with Spark and Outlook
Part of the attraction for using Spark was being able to quickly archive read and actioned emails. It allows me to follow the principles of the Productivity Ninja and quickly triage emails - archiving those that I don’t need to do, or quickly adding them in to Omnifocus for when I need to complete an action on them.
Doing this is easy, with a keyboard shortcut, swipe or button to do. It was one of the main reasons I preferred it using Outlook on Windows.
Well, it seems what whatever reason, Microsoft have a keyboard shortcut to do this on the Mac version of Outlook, but not the Windows version!
Now Ctrl + E on the Windows version of Outlook will search for an item, but I can’t see why Microsoft couldn’t have installed a different keyboard shortcut combination for this.
This can be seen on the Microsoft help page for keyboard shortcuts for Outlook.
In addition to the archive function that’s in the Mac version, I can also change the keyboard shortcuts within the main Mac menu - a function that makes life easier for all apps!
This seems to be a huge oversight by Microsoft on Windows, but it means that one of the features of Spark on the Mac has been mitigated by Outlook.
For example, mark message as read - it’s Ctrl + Enter on Windows. I tend to have my email setup so that it’s only marked as read once I tell the software that I’ve read it. On the Mac, this is a different keyboard shortcut - however, with a quick visit to the System Preferences > Keyboard section, I have changed this to match my muscle memory!
And then in Outlook, this changes the keyboard shortcut.
With that done, it makes day to day life in Outlook much easier.
Meetings etc
Outlook for Windows is a do it all solution - calendar, contacts and mail. The Mac version does most of this. However, the biggest perk is how it handles calendar requests.
Spark will accept a meeting request and then keep the email sat in the inbox. Outlook will accept and delete the email.
Again, minor, but it all adds up.
I also disabled the calendar access on Spark as I wasn’t impressed with it. On the Mac, the standard calendar app suits me just fine. I could use the Outlook calendar, but again, as the main Calendar app has all my details on it with my wife, then it’s not a big deal.
Storage Space
Outlook for Mac isn’t perfect - things that are slightly annoying are the fact that you can’t set maximum storage capacities on the hard drive, like you can on Windows.
On the Mac, this can be pretty drastic - my Mac mini only has the 256GB hard drive and I can’t move this folder off on to an external hard drive and store it there, accessing via symlinks, due to Apple’s sandboxing and permissions. At the minute, it’s not too bad - about 4.5GB for my work account and a cadet email account. However, as time goes on, this could prove to be problematic.
Conclusions
Overall, I think because I operate in a mainly Outlook based environment, with all internal emails being written on and using Outlook, it makes sense that Outlook for the Mac works nicely with what I’m doing day in, day out with my colleagues.
Yes, Spark on the iPad is still the best option for triaging emails I think, but as the number of emails I have to deal with has dropped slightly during the lockdown, I’ve found that I don’t need to do as much triaging and have the time to respond to the emails as and when they come in.
For now, Outlook has taken the place of Spark for my work emails, at least on the Mac.


Some browsers support subscribing to an RSS feed linked from the document's head. This is one example of an element you may wish to introduce into the head of the document on a per-view basis.
If your browser supports RSS subscription you may see an RSS icon available for this page. If not, use
your browser's DOM inspector to look at the head of the document and note the link
element.
This will go away when you navigate to one of the other pages in this demo, and come back when you return.
Most consumers of RSS metadata are robots that can't run the JavaScript on an HTML page, so for best results this technique can be combined with a mechanism that creates static snapshots of pages to serve to robots. That's obviously out of scope for this module, but at the time of writing several services are available that provide such a snapshot feature.


In Nibra,services offered are delivered on the back of a strong working relationship
with quality human
involvement in the most efficient way possible.
These, are rendered in compliance with existing Regulatory
framework
and Operational Specifications of Airline Operators.


Put a number in this box to check if it's prime
Choose a number and see all primes up to that number
List all Pythagorean Triples up to a chosen number


This is the sixteenth part of a series of posts looking at the PCI recommendations for container security as they apply to Kubernetes environments. This time we’re looking at the Segmentation section. An index of the posts in this series can be found here.
The topic of segmentation in Kubernetes is an interesting one. First let’s talk a bit about what PCI means by Segmentation. From this document we can see this definition
Segmentation involves the implementation of additional controls to separate systems with different security needs. For example, in order to reduce the number of systems in scope for PCI DSS, segmentation may be used to keep in-scope systems separated from out-of-scope systems. Segmentation can consist of logical controls, physical controls, or a combination of both. Examples of commonly used segmentation methods for purposes of reducing PCI DSS scope include firewalls and router configurations to prevent traffic passing between out-of-scope networks and the CDE, network configurations that prevent communications between different systems and/or subnets, and physical access controls.
So in order to implement segmentation in a containerized environment we need to put controls in place so that there is effective security segregation between in-scope workloads and out-of-scope workloads.
With Kubernetes there’s a couple of ways you can implement this kind of control. The easiest (from a security point of view) is to use separate clusters for in-scope and out-of-scope workloads, however some organizations might not like this approach as it reduces the cost benefits of Kubernetes as it requires multiple sets of control plane nodes and reduces the ability to share resources between workloads.
The other approach is to try and use a single cluster for both in-scope and out-of-scope workloads, we need to harden the cluster such that we’re providing appropriate security segmentation, a.k.a hard multi-tenancy.
Hard Multi-Tenancy in Kubernetes
To provide hard multi-tenancy in a Kubernetes cluster there are a number of considerations that need to be taken into account, and challenges to be overcome. Typically this kind of solution would be based on the use of Kubernetes namespaces as a unit of security segmentation, but it’s important to recognize that this (and Kubernetes in general) wasn’t designed for a hard multi-tenancy use case.
The sections below aren’t intended to be an exhaustive treatment of the challenges of hard multi-tenancy in Kubernetes (that would require it’s own blog post series!) but to indicate some of the complexity and why it’s not a trivial problem to solve.
Kubernetes API Segregation
The first challenge is that the Kubernetes API itself. There are a number of resources in a cluster wide and not namespaced, so we need to ensure that users in the “low security” namespace(s) can’t access these resources, which restricts the facilities that they can use. This particular issue can be mitigated via the use of “virtual cluster” style solutions such as vcluster, which create virtual Kubernetes clusters on top of a single host cluster. You can then provide full access to the Kubernetes API to the virtual cluster, but restrict access to the host cluster.
If you’re not using a virtual cluster solution, part of this also involves strict RBAC controls which prevent “low security” users from escalating their rights to access “high security” workloads. There’s a page on the Kubernetes site which discusses some of the areas to consider here.
Workload Segregation
Virtual clusters alone, however, don’t provide the full solution. Where workloads are being deployed to a shared set of clusters nodes there is a risk that any workload can break out to an underlying node from the “low security” namespace and then access parts of the “high security” environment. Mitigating this will require adoption of admission control solutions such as Kyverno with a highly restrictive set of policies to reduce the risk of privilege escalation. Typically you’d expect these policies to be in-line with the restricted PSS policy.
This doesn’t provide a complete picture, however as you still have the risk of container breakout via Linux kernel/runc/Containerd/Docker CVEs. You can reduce this risk by using a solutions like gVisor or Kata Containers to provide a smaller attack surface, hardening the container runtime environment.
Another approach which might help here is to implement separate node pools for each environment. This reduces the workload resource sharing benefit of Kubernetes, but does reduce the risk of a breakout from one environment to another.
There is also a complication with this approach, which is that any workloads which have privileged access to the Kubernetes API server (e.g. operators, or admission control services) should not be placed in the “low security” node pool, as this would allow them to escalate privileges to the “high security” environment, via service account tokens. This approach also relies on the use of “node authorization” in Kubernetes otherwise the Kubelet credentials can be used to escalate privileges to the “high security” environment. Whilst this plugin is enabled in most Kubernetes distributions, it’s not guaranteed, (for example at the time of writing it’s not enabled in AKS and cluster operators cannot enable it by themselves).
Network Segregation
As we discussed back in the network section Kubernetes defaults to an open flat network for all workloads in the cluster. This is obviously not suitable for a hard multi-tenancy solution, so it would be necessary to implement strict network policies restricting traffic between the two environments.
However there’s another aspect of network segregation in Kubernetes which can be tricky to mitigate, which is DNS. DNS is used for service discovery in clusters, and this is a cluster-wide service. To provide effective segregation it would be necessary to split the DNS service into two separate services, one for each environment. Without this it’s generally trivial for an attacker to enumerate every service in the cluster, using commands like dig +short srv any.any.svc.cluster.local
.
In terms of the PCI requirements there’s four in this section.
Section 16.1
Threat - Unless an orchestration system is specifically designed for secure multi-tenancy, a shared mixed-security environment may allow attackers to move from a low-security to a high-security environment.
Best Practice - Where practical, higher security components should be placed on dedicated clusters. Where this is not possible, care should be taken to ensure complete segregation between workloads of different security levels
Details - Reviewing an environment for this requirement, would generally involve looking at deployed workloads for the in-scope clusters and confirming that they are only running in-scope workloads.
Section 16.2
Threat - Placing critical systems on the same nodes as general application containers may allow attackers to disrupt the security of the cluster through the use of shared resources on the container cluster node.
Best Practice - Critical systems should run on dedicated nodes in any container orchestration cluster.
Details - As discussed using dedicated node pools is an option to try and ensure workload segregation, but it’s a tricky one to implement well. Reviewing a cluster for this would generally involve looking at the worklods deployed to each environment and confirming that there are no privilege escalation paths, via things like service account tokens, or Kubelet credentials.
Section 16.3
Threat - Placing workloads with different security requirements on the same cluster nodes may allow attackers to gain unauthorized access to high security environments via breakout to the underlying node.
Best Practice - Split cluster node pools should be enforced such that a cluster user of the low-security applications cannot schedule workloads to the high-security nodes.
Details - For workload scheduling segregation, admission control solutions are required, so reviewing an environment for this would involve reviewing the policies in place and also reviewing the security of the admission control solution itself.
Section 16.4
Threat - Modification of shared cluster resources by users with access to individual applications could result in unauthorized access to sensitive shared resources.
Best Practice - Workloads and users who manage individual applications running under the orchestration system should not have the rights to modify shared cluster resources, or any resources used by another application.
Details - How this is reviewed would depend on the approach taken. Where a virtual cluster solution is used, it might be possible to review to ensure that virtual cluster admins have no access to the underlying master cluster. Where Kubernetes RBAC is used for this, it would require a review of RBAC policies to ensure that users can’t escalate privileges to access in-scope workloads from the “low security” environment.
Conclusion
Segmentation is an important part of PCI security and applying it to Kubernetes can be tricky, as it’s not designed for hard multi-tenancy.


Pair
问题描述 :
There are n cities in country X. Some pairs of cities are connected by bidirectional roads, and there exists one and only one path between every pair of cities.
Lily wants to take a trip in country X. She can start from any city, and she wouldn’t visit a city twice. Lily is effeminate, so the total distance of this trip should not be larger than L.
Your task is to calculate the number of all possible trips. Two trips are distinct if and only if the set of cities they contain are different.
Lily wants to take a trip in country X. She can start from any city, and she wouldn’t visit a city twice. Lily is effeminate, so the total distance of this trip should not be larger than L.
Your task is to calculate the number of all possible trips. Two trips are distinct if and only if the set of cities they contain are different.
输入:
The first line contains two integers n and m, n is the number of cities, and m is the number of roads. The following m lines describe m roads, each of which contains three integers a, b, c, representing that a and b are connected by an undirected road which length is c. The last line contains a integer L.
1<=n<=100000, 1<=c<=10000, 1<=L<=1000000000.
1<=n<=100000, 1<=c<=10000, 1<=L<=1000000000.
输出:
The first line contains two integers n and m, n is the number of cities, and m is the number of roads. The following m lines describe m roads, each of which contains three integers a, b, c, representing that a and b are connected by an undirected road which length is c. The last line contains a integer L.
1<=n<=100000, 1<=c<=10000, 1<=L<=1000000000.
1<=n<=100000, 1<=c<=10000, 1<=L<=1000000000.
样例输入:
3 2 2 3 10 1 3 10 15 4 3 2 3 10 1 3 5 3 4 3 14
样例输出:
5 9
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inca印加↔cain该隐
这种二分还是比较经典！mark
第15行代码，/n/n，应该改为\n\n
如果两个序列的最后字符不匹配（即X [M-1]！= Y [N-1]）
L（X [0 .. M-1]，Y [0 .. N-1]）= MAX（L（X [0 .. M-2]，Y [0 .. N-1]），L（X [0 .. M-1]，Y [0 .. N-1]）
这里写错了吧。
“再把所有不和该节点相邻的节点着相同的颜色”，程序中没有进行不和该节点相邻的其他节点是否相邻进行判断。再说求出来的也不一样是颜色数最少的
给力
总数为2n，遍历到第n个，就是中间的位置
写的好····· Pollard Rh
int L[m+1][n+1];这样定义出错，这个在gcc上可以编译通过 在VS上不行 应该改为new 或者vector
哇，算法有这么多呢！
这道题目的核心一句话是：取还是不取。
如果当前取，则index+1作为参数。如果当前不取，则任用index作为参数。
这道题目虽然简单，但是小编做的很到位，应该会给很多人启发吧！对于面试当中不给开辟额外空间的问题不是绝对的，实际上至少是允许少数变量存在的。之前遇到相似的问题也是恍然大悟，今天看到小编这篇文章相见恨晚。
原来欧几里德定理应用这么多


-
data-icon
Creates an icon Lungo vectorized
-
data-image
Instance a <img> automatically
-
data-search
Creates a search input form
data-progress
Creates a progress element
data-loading
Creates a loading element
Others
data-title
Relationship field between <header> and <a>
data-label
Creates label in a determinate nav element
data-count
Creates counters in different <elements>
data-back
Creates a button that returns to the previous section.


---
layout: post
title: NPR's Schiller Says Juan Williams Was Fired Because of Ethics Guidelines -
NYTimes.com
date: '2010-10-23T11:41:19-07:00'
tags:
tumblr_url: http://alexhwilliams.tumblr.com/post/1382806253/nprs-schiller-says-juan-williams-was-fired-because-of
---
NPR's Schiller Says Juan Williams Was Fired Because of Ethics Guidelines - NYTimes.com
Good to see this side of the story. Williams had apparently been warned several times about violating NPR’s code of ethics. I recall some odd comments made by Williams. Makes more sense now why Schiller fired him.


This distribution of Piranha is the smallest in our lineup and it delivers you with a very opinionated embeddable partial implementation of a Servlet container. While very small it most certainly is very capable and it is very easy to use.
NanoPiranha piranha = new NanoPiranhaBuilder() .servlet("TestHelloWorldServlet", new TestHelloWorldServlet()) .build(); NanoRequest request = new NanoRequestBuilder() .method("GET") .servletPath("/index.html") .build(); ByteArrayOutputStream outputStream = new ByteArrayOutputStream(); NanoResponse response = new NanoResponseBuilder() .outputStream(outputStream) .build(); piranha.service(request, response);
The example above adds the TestHelloWorldServlet to Piranha Nano. It creates a GET request at path index.html and it creates a response with a ByteArrayOutputStream as it output stream. And it then asks Piranha Nano to process it.
Please use the following dependency.
<dependency> <groupId>cloud.piranha</groupId> <artifactId>piranha-nano</artifactId> <version>y.m.p</version> </dependency>
where y is the year, m is the month and p is the patch version of the release you want to use.
See GitHub at https://github.com/piranhacloud/piranha/tree/master/nano


In 1838, Georgetown University and the Jesuits of the Maryland Province of the Society of Jesus sell 272 enslaved people to various slave holders and plantations farther south.
Ten years after the sale, Jesuit priest James Van de Velde sends a pair of letters to
Georgetown University, pleading for the University to fulfill their promise to support
the religious instruction of the 272 enslaved people sold by Georgetown by contributing
to the construction of a church in Louisiana. Both letters are ignored by the University.
Georgetown University Student Aidan Kenney (GU '18) goes into detail about these two
letters in his podcast below:
Georgetown University and the Maryland Jesuits do nothing to acknowledge their actions for over 150 years.
As part of its bicentennial celebration in 1988-89, Georgetown University honors its African American Community with this video. Through the recollections of the members of the Georgetown black community, the documentary pays tribute to a community that thrived amidst many injustices. It features the remembrances of the decades of the 1940s to the 1950s when the population of Georgetown changed markedly.
History Professor Sharon M. Leon, Ph.D, creates the Jesuit Plantation Project. This project is focused on uncovering details about the lives and experiences of the enslaved involved in the 1838 sale, rather than on their Jesuit owners. This is the first step towards finding the descendants of the original 272.
President DeGioia announces the Working Group on Slavery, Memory, and Reconciliation led by Fr. David Collins, S.J., Ph.D. This group is tasked with providing advice and recommendations to the president on "how to best acknowledge and recognize Georgetown's historical relationship with the institution of slavery."
President DeGioia announces he will be accepting a recommendation from the recently created Working Group to rename Mulley and McSherry Hall. The new names of these buildings would be Freedom Hall and Remeberance Hall, respectively.
The Georgetown Board of Directors unanimously vote to create a new Department of African American Studies.
Georgetown creates a repository of materials relating to the Maryland Jesuits, Georgetown University, and slavery.
Rachel L. Swarns from The New York Times writes an article titled "272 Slaves Were Sold to Save Georgetown. What Does It Owe Their Descendants?" that details the sale of 1838 and the steps Georgetown has taken and is planning to take in an attempt to make amends.
The Jesuits create the Slavery, History, Memory, and Reconciliation Project to learn from descendants, research the expeirences of the people held in slavery by the Jesuits, and the communicate their history to the general public.
The descendants of the GU272 create an association that aspires to represent the greater common good of all descendants of Jesuit and Catholic slaveholding in the United States.
Georgetown and the Society of Jesus' Maryland Province officially apologize for their roles in the 1838 sale in front of more than 100 descendants.
Students vote in favor of a referendum to establish a semesterly fee that would fund benefits for descendants of the 272 people sold by Georgetown in 1838. An overwhelming 66.1 percent of students vote "yes" for an increase of $27.20 each semester that would go towards this fund.
Georgetown announces that they will launch an initiative supporting community-based projects with GU272 descendants. President DeGioia claims that the funding will be comparable to or higher than the amount that would have been raised by the GU272 fee proposed by students.
The GU272 Descendants Association partners with the Society of Jesus to create a foundation with the goal of investing heavily in dismantling the remnants of slavery and mitigating racism. The Foundation is comitted to investing in the educational aspirations of descendants and future generations and in pursuing truth, reconciliation and transformation in the human family.


Preparation time
30 mins to 1 hour
Cooking time
1 to 2 hours
Serves
Serves 6-8
Treat your favourite friends to this all-time great: a top-quality cut of beef wrapped in deliciousness.
Preheat the oven to 100C/80C Fan/Gas ½.
Heat the oil in frying pan over a high heat. Quickly fry the beef fillet, turning it every few seconds, until browned on all sides.
Cut 4 large pieces of heatproof cling film or aluminium foil big enough to roll the beef fillet in, and place them on top of each other. Place the beef fillet in the centre and wrap it very tightly to form a cylinder, twisting the ends to secure. Place the wrapped beef fillet on a baking tray and roast in the oven for an hour.
Remove the beef from the oven, set aside until cooled to room temperature, then chill in the fridge until completely cold.
Meanwhile, heat a knob of butter in a frying pan over a medium heat. When the butter is foaming, add the chopped mushrooms and fry for 1-2 minutes, or until all of the liquid has evaporated and the mushrooms have softened. Transfer the mushrooms to a bowl and wipe the pan with a piece of kitchen roll.
Add a little more butter to the pan, then fry the spinach for a minute, or until just starting to wilt. Remove the pan from the heat and continue to stir the spinach until completely wilted. Transfer to a bowl and set aside.
Next, make the pancakes. Place the two whole eggs and the flour in a bowl and whisk together until well combined. Gradually whisk in the milk until the mixture forms a smooth batter that is thick enough to coat the back of a spoon.
Heat a knob of butter in a frying over a high heat. When the butter is foaming and starting to smoke, add a ladleful of the pancake batter and swirl the pan to evenly coat the base. Fry for 1-2 minutes, or until the underside of the pancake is golden-brown. Flip the pancake over and cook for a further minute, or until the pancake is cooked through and golden-brown all over. Slide the pancake out onto a plate lined with greaseproof paper, then cover it with another layer of greaseproof paper. Repeat the process with the remaining butter and pancake batter.
Place the chicken liver pâté in a bowl and beat until smooth and soft.
Increase the oven temperature to 230C/210C Fan/Gas 8.
Roll out the puff pastry on a lightly floured work surface to a rectangle measuring 40x50cm/16x20in with a thickness of 2-3mm (it needs to be large enough to wrap the beef fillet).
Arrange the pancakes all over the pastry, overlapping the edges slightly and leaving a 2.5cm/1in border free at the edge. Trim the overlapping edges of the pancakes using a sharp knife so they sit in one even layer.
Spread the softened pâté in an even layer all over the pancakes. Arrange a layer of wilted spinach on top. Spread the cooked mushrooms on top of the spinach. Season, to taste, with salt and freshly ground black pepper. Finally, peel the cling film or foil from the beef fillet and place it in the centre.
Whisk the egg yolks in a bowl, then brush them around the pastry border. Tightly roll the beef fillet in the pastry, ensuring the seal sits at the bottom of the Wellington. Tuck the ends underneath the Wellington without trimming them. Transfer the Wellington to a baking tray lined with baking paper and brush all over with the remaining beaten egg yolks. If desired, decorate with pastry trimmings.
Bake the beef Wellington in the oven for 20-25 minutes (for medium), or until the pastry has risen and is golden-brown.
Meanwhile, heat a knob of butter in a frying pan over a high heat. When the butter is foaming, add the wild mushrooms and fry for 2-3 minutes, or until just softened. Add the Madeira and set it alight using a match. (Caution: Keep eyes and hair away from the flames and switch off the extractor fan before flaming.) Allow the flames to flare up and die down.
Add the concentrated beef stock and bring to the boil, then reduce the heat until the mixture is simmering. Continue to simmer for 3-4 minutes, or until the volume of liquid has reduced by one-third. Stir in the remaining butter until melted.
To serve, carve the beef Wellington into thick slices and place each into the centre of a serving plate. Drizzle the mushroom and Madeira sauce around the edge of the plates.


| We can't direct the wind, but we can adjust the sails. For maximum happiness, peace and contentment, may we choose a positive attitude. -- Thomas S. Monson |
| We can't direct the wind, but we can adjust the sails. For maximum happiness, peace and contentment, may we choose a positive attitude. -- Thomas S. Monson |


# Is Yelp international? — An excuse to roll data with the command line
The recent Capstone project in the [Coursera Data Science Specilization](https://www.coursera.org/specializations/jhu-data-science) was based on the [Yelp Dataset Challenge Round 6](http://www.yelp.com/dataset_challenge). As this specialization made me gain one major understanding — that I should do anything I can to avoid using R if I don’t want to go mad — I was eager to explore this dataset with only using the command line. Although my practice is not exactly what Jeroen Janssens rolls, I strongly recommend his book, [Data Science at the Command Line](http://datascienceatthecommandline.com/), as an intro on the domain.
In our [daily data practice](https://speakerdeck.com/soobrosa/being-a-data-janitor-for-10m-plus-users) we rely on pretty oldschool technologies, like makefiles, bash and SQL, so I set out to try to test the limits of Unix commands, pipes and some special, self-contained tools, three of them altogether slightly bigger than 1 Mbyte. I believe getting to know in detail how this equipment work could be a better investment of yours.
I will use the following specimens:
* [json2csv](https://github.com/jehiah/json2csv) (“converts a stream of newline separated json data to csv format”),
* [jq](https://stedolan.github.io/jq/) (“*sed* for JSON data — you can use it to slice and filter and map and transform structured data with the same ease that *sed, awk, grep* and friends let you play with text”),
* [q](http://harelba.github.io/q/) (“allows direct execution of SQL-like queries on CSVs/TSVs”),
* [Rio](https://github.com/jeroenjanssens/data-science-at-the-command-line/blob/master/tools/Rio) (turns CSV to CSV or PNG via R),
* [miller](https://github.com/johnkerl/miller) (“*sed, awk, cut, join,* and *sort* for name-indexed data such as CSV”)
“Not unlike jq for JSON, Miller is written in modern C, and it has zero runtime dependencies. You can download or compile a single binary, scp it to a faraway machine, and expect it to work.” ([Source](https://github.com/johnkerl/miller))
I’m slightly familiar with the domain as some years ago I’ve written [my thesis](http://issuu.com/soobrosa/docs/soobrosa_thesis?e=0) on the touristic effect of the location-based community activities in Hungary — it was a critical comparison of geocaching and Foursquare. I realised how much I got used to use both Foursquare and Yelp living in Germany. The German Qype sold to Yelp in 2012. Did this acquisition make Yelp international? Can we tell from the data whether this deal was worth it for Yelp? Based on the user generated contect metrics, not really.
# Blink that cursor
Let’s shape the dataset to be explorable. For reproducability a [Makefile](https://gist.github.com/soobrosa/4adf89ce197eb6299eb9) is the best. Below I focus on the actual analysis, you can find more simple practicalities in the Makefile — like how to pretty print a JSON, how to get a random sample and so.
Let’s start with flattening lazily the JSONs to CSVs. For simpler cases [json2csv](https://github.com/jehiah/json2csv) is enough while [jq](http://stedolan.github.io/jq/) is your weapon to roll complex logic.
```
#
# -p=true means "print csv header row"
#
# -c stands for "put each JSON object on a single line"
#
$ < source/yelp_academic_dataset_tip.json | json2csv -p=true -k business_id,date,likes,user_id > source_flattened/tip_no_text.csv
$ < source/yelp_academic_dataset_review.json | json2csv -p=true -k business_id,date,review_id,stars,user_id > source_flattened/review_compact_no_text.csv
$ < source/yelp_academic_dataset_business.json | jq -c ‘{business_id, category_main: .categories[0], category_sub: .categories[1], city, latitude, longitude, name, neighborhood: .neighborhoods[0], open, review_count, stars, state}’ | json2csv -p=true -k business_id,category_main,category_sub,city,latitude,longitude,name,neighborhood,open,review_count,stars,state > source_flattened/business.csv
```
Now that we have the data in CSVs, let’s query them in SQL with the help of [q](http://harelba.github.io/q/). I counted the number of businesses per state and tried to get an estimate of their population from Wikipedia.
```
#
# -H skips header row
# -d, defines "," as delimiter
#
$ ./q -H -d, \
" SELECT state, COUNT(*)
FROM business.csv
GROUP BY 1
HAVING COUNT(*) > 100
ORDER BY 2 DESC "
AZ,25230 -- Phoenix, AZ — capital, 1.5 m
NV,16485 -- Las Vegas, NV — largest in state, 0.6 m
NC,4963 -- Charlotte, NC — largest in state, 0.8 m
QC,3921 -- Montreal — largest, 1.6 m
PA,3041 -- Pittsburgh, PA — 0.3 m
EDH,2971 -- Edinburgh, UK — capital — 0.5 m
WI,2307 -- Madison, WI — 0.006 m
BW,934 -- Karlsruhe — 0.3 m
IL,627 -- Urbana-Champaign, IL — 0.003 m
ON,351 -- Waterloo
SC,189 -- Fort Mill == Charlotte, NC
MLN,123 -- Edinburgh, UK
```
I have chosen a small, a midsized and a larger city from both the US and abroad with almost equal population. I calculated the reviewing and tipping activity trends in the three segments.
```
# US:
# + AZ,25230 -- Phoenix, AZ — capital, 1.5 m
# + NV,16485 -- Las Vegas, NV — largest, 0.6 m
# + PA,3041 -- Pittsburgh, PA — 0.3 m
# Control:
# + QC,3921 -- Montreal — largest, 1.6 m
# + EDH,2971 -- Edinburgh, UK — capital — 0.5 m
# + MLN,123 -- Edinburgh, UK
# + BW,934 -- Karlsruhe — 0.3 m
#
# -H outputs header line
#
$ ./q -H -O -d, \
" SELECT business_id, date, COUNT(*) AS reviews
FROM review_compact_no_text.csv
GROUP BY 1, 2 " \
> temp1.csv
$ ./q -H -O -d, \
" SELECT t.date,
CASE WHEN b.state IN (‘AZ’, ‘NV’, ‘PA’) THEN ‘USA’
WHEN b.state IN (‘QC’, ‘EDH’, ‘MLN’, ‘BW’) THEN ‘Control’
ELSE ‘Others’ END AS state,
SUM(t.reviews) AS reviews
FROM temp1.csv AS t
JOIN business.csv AS b
ON (t.business_id = b.business_id)
GROUP BY 1, 2
ORDER BY 2, 1 " \
> reviews_summed.csv
$ ./q -H -O -d, \
" SELECT business_id, date, COUNT(*) AS tips
FROM tip_no_text.csv
GROUP BY 1, 2 " \
> temp2.csv
$ ./q -H -O -d, \
" SELECT t.date,
CASE WHEN b.state IN (‘AZ’, ‘NV’, ‘PA’) THEN ‘USA’
WHEN b.state IN (‘QC’, ‘EDH’, ‘MLN’, ‘BW’) THEN ‘Control’
ELSE ‘Others’ END AS state,
SUM(t.tips) AS tips
FROM temp2.csv AS t
JOIN business.csv AS b
ON (t.business_id = b.business_id)
GROUP BY 1, 2
ORDER BY 2, 1 " \
> tips_summed.csv
```
# Show and tell
As in production or on the call let’s use a visual clue whether a linear correlation will be enough to say something most likely. [Rio](https://github.com/jeroenjanssens/data-science-at-the-command-line/blob/master/tools/Rio) from Jeroen is the smallest possible interface to abuse R to draw charts. Don’t forget that you have to have R installed. On OSX you might struggle a bit to get it work this combination helped me:
```
$ brew reinstall — with-libtiff — ignore-dependencies — with-x11 imagemagick
$ sudo cp /opt/X11/lib/libfreetype.6.dylib /usr/local/lib/libfreetype.6.dylib
```
Charting the change of user generated content does not show a rosy picture. The non-US control is way less productive than the US group.
```
$ < reviews_summed.csv ../Rio.sh -ge 'g+geom_line(aes(x=as.Date(date), y=reviews, group=state, color=state)) + labs(x="Year", title="Reviewing activity trends in three segments")' | display
```
```
$ < tips_summed.csv ../Rio.sh -ge 'g+geom_line(aes(x=as.Date(date), y=tips, group=state, color=state)) + labs(x="Year", title="Tipping activity trends in three segments")' | display
```
Based on the reviews and tips timeline it’s inevitable that the control grows much slower and no specific uptick happened at the acquisition. You might say having Las Vegas skews the sample, but that could be a good starting exercise to check the dataset without it. :) Also if you got the taste, don’t stop here! It’s fairly easy to roll deeper statistical analysis like with [miller](https://github.com/johnkerl/miller):
```
$ ./q -H -O -d, \
" SELECT strftime('%Y%m%d',date) AS date, \
state, \
reviews \
FROM reviews_summed.csv " \
> temp3.csv
$ cat temp3.csv | ./mlr --csv --rs lf --opprint \
stats2 -a linreg-pca -f date,reviews -g state
state date_reviews_pca_m date_reviews_pca_b date_reviews_pca_n date_reviews_pca_quality
Control 0.000804 -16137.212616 2516 0.999999
Others 0.001528 -30670.842174 3173 0.999999
USA 0.012803 -256934.209362 3399 0.999974
```
Have fun with data on the command line and don’t look back in anger at IDEs!


X Factor contestant Ariel Burdett dies at the age of 38, friends say
X Factor 2008 contestant Ariel Burdett has died at the age of 38, it's reported
by Irishmirror.ieX Factor contestant Ariel Burdett has died at the age of 38, it's reported.
A friend says the singer, who appeared on the show in 2008, died earlier this month but a cause of death is yet to be revealed, according to the Daily Star Online .
Ariel, whose real name is Amy Burdett, had one of the most memorable auditions in the show's history.
As she arrived to present herself to the judges she ripped her label on the floor, saying she was a "human being, not a number".
Ariel also told Cheryl, who was an X Factor judge at the time, she was "stupid" after she got given four nos.
She sported bright blonde dreadlocks and dark black eye makeup in the infamous clip.
Ariel told them she was a "specialist and not a generalist" and worked as a "holistic vocal coach".
Her song was an "academic construction", she claimed.
After failing to make it through to the next round, she told the judges to "shove a bit of metal right up their a**".
She had changed her name to Arabella Starchild after her famous audition.
The friend also posted a picture of Ariel on social media, asking them to get in touch with her brother about funeral arrangements.
Tributes have poured in for Ariel on social media.
One wrote: "Ariel Burdett is gone. What a loss."
Another posted: ""I can't believe that she died... rest in peace, Ariel Burdett."


blahblah the preview page for chart
n the United States, roughly 28 people die every day in motor vehicle crashes that involve an alcohol-impaired driver. In 2014, nearly 10,000 Americans were killed in alcohol-impaired driving crashes. Alcohol-related accidents accounted for nearly one-third of all traffic-related deaths.look here.....
Drinking alcohol leads to a loss of coordination, poor judgment, slowed reflexes, distorted vision, memory lapses, and even blackouts. Alcohol can damage every organ in your body. It is absorbed directly into your bloodstream and can increase your risk for a variety of life-threatening diseases, including cancerlook here.....


Free Tutoring
MYC Complimentary Community Tutoring Program
As part of our focus on developing the educational and leadership background of our youth as outstanding and legendary global citizens, we are initiating, inn shaa'a Allaah, a Complimentary (i.e., free of charge) Community Tutoring Program.
The tutoring program will focus in directing students towards effective strategies and resources that will help them develop confidence and independence in terms in their education, and anywhere else for that matter, inn shaa'a Allaah.
The goal is to eventually have this service accessible, free-of-charge, to anyone up until college, and beyond, inn shaa'a Allaah. As an initiation, we will be focusing on the Elementary / Middle School Girls and Boys, and then expand as soon as we are able to, inn shaa'a Allaah. Please let us know if you or anyone you know is willing to be a part of this program in any way, inn shaa'a Allaah.
Who
Tutoring is currently being offered only to Elementary / Middle School Girls and Boys. If you are interested in signing up for tutoring, please fill out the Student Registration Form
Planned Schedule
Our tentative schedule is to start offering tutoring services beginning the week of September 12, 2012
- Wednesdays: 4:30 PM - 5:30 PM
- Fridays: 4:00 PM - 5:30 PM
- Additional Days/Times TBD, if necessary
Volunteer Tutors
Because volunteers can receive credit for service hours (e.g., community service hours, honors society service hours requirements, etc.), this is an awesome opportunity for those of us that are wanting to become increasingly attached to our masjid while receiving something in addition to our hasanaat, which are from Allaah as long as we do this for Allaah's sake alone, inn shaa'a Allaah.
The tutors will be primarily college students, including those majoring in areas related to the various sciences, mathematics, English, history and social sciences, foreign languages, and others, inn shaa'a Allaah.
If you are interested in offering your services as a Volunteer Tutor please fill out the Volunteer Tutor Registration Form
Contact
- Br Mahen M Khan at<PHONE_NUMBER> (call/text) or<EMAIL_ADDRESS>- Br Ismail Mohareb<EMAIL_ADDRESS>Please let us know throughout how we can improve this (and other) program(s), inn shaa'a Allaah, such that we are able to help develop some of the greatest women and men to have ever lived, all hoping to seek nothing but the utmost pleasure of Allaahu Al-Hameedu Al-Mutakabbiru Al-Waduudu!


| rig {mgcv} | R Documentation |
Generates inverse Gaussian random deviates.
rig(n,mean,scale)
n |
the number of deviates required. If this has length > 1 then the length is taken as the number of deviates required. |
mean |
vector of mean values. |
scale |
vector of scale parameter values (lambda, see below) |
If x if the returned vector, then E(x) = mean
while var(x) = scale*mean^3
. For density and distribution functions
see the statmod
package. The algorithm used is Algorithm 5.7 of Gentle (2003), based on Michael et al. (1976). Note that scale
here is the scale parameter in the GLM sense, which is the reciprocal of the usual ‘lambda’ parameter.
A vector of inverse Gaussian random deviates.
Simon N. Wood<EMAIL_ADDRESS>Gentle, J.E. (2003) Random Number Generation and Monte Carlo Methods (2nd ed.) Springer.
Michael, J.R., W.R. Schucany & R.W. Hass (1976) Generating random variates using transformations with multiple roots. The American Statistician 30, 88-90.
http://www.maths.bris.ac.uk/~sw15190/
require(mgcv) set.seed(7) ## An inverse.gaussian GAM example, by modify `gamSim' output... dat <- gamSim(1,n=400,dist="normal",scale=1) dat$f <- dat$f/4 ## true linear predictor Ey <- exp(dat$f);scale <- .5 ## mean and GLM scale parameter ## simulate inverse Gaussian response... dat$y <- rig(Ey,mean=Ey,scale=.2) big <- gam(y~ s(x0)+ s(x1)+s(x2)+s(x3),family=inverse.gaussian(link=log), data=dat,method="REML") plot(big,pages=1) gam.check(big) summary(big)


I have experience with the usual suspects, but after reading about Salvia as much as I could, I ordered an ounce of leaf. We were moving at the time, so two weeks went by before I found a free evening to try it, which was last night around 9:30. I asked my wife to be my sitter. Lit candles and fireplace, put on Getz and Gilberto. I reconstituted two dried leaves in water, chewed them for ten minutes, spit them out. Then I crushed 3 leaves into the bong bowl, reclined on the couch, torched it hard with the lighter and took the whole chamber in -- it looked really strange burning and it almost seemed the effects started by watching the incineration. I held the smoke as long as I could, then exhaled, set down the bong, and folded my hands across my stomach.
First thing was the music seemed to be taking place outside of time, as if I was hearing the whole song ('The Girl from Ipanema') at once, yet it sounded slow, too, like I was 'viewing' the music from many angles at once. Then I felt a strong, rotating tug down to my left. My legs felt as if they were being pulled and twisted away from me to the left, off the couch -- in fact I felt as if I were almost about to fall off the couch somehow. Then a vortex of swirling peacock feathers opened up down beyond my feet and a little to the left that seemed to be definitely dancing to the music. I felt that I could go into this vortex, that I was being invited to do so, to succumb to it, but being new to the feeling, I resisted and fought the tugging, which wasn't difficult.
For some reason I felt as if I were on a boat dock when I was a kid, and that people were off to my left, watching me. And that was pretty much it. The spiraling feathers faded gradually. Before 'Ipanema' was even over (3 minutes), I said out loud, 'That's it. I'm back.' And then proceeded to describe to my wife what happened. I considered it amazing and told her I'd never felt anything like that before. Funny thing, I had meant to close my eyes, but I forgot all about that, so these were open-eye visuals.
She looked at me and said she wanted to do it. So she did the same thing, chewed leaves for 10 minutes, then lay back on the couch with her head in the other direction, took as much bong as possible (3 leaves), and I replayed 'Ipanema.' I noticed she closed her eyes. I watched her breathing deeply through her nose for about three minutes while I petted our dog, then she raised her eyebrows, smiled, and laughed. She opened her eyes and pointed. 'I was using those candles. I was hanging onto them, so I didn't get pulled into it.' She said 'it' had her right arm and was pulling and twisting it, pulling her off to the right. Said it was like a big machine was chugging and grinding away right beside her, pulling her toward it, but the candles held her though her eyes were closed.
I asked why she laughed, and she said it was because she felt she had to acknowledge, 'Okay, you've got my arm, gotta give you that!' And also because her visuals were like cheesy Florida pink flamingo 50s hotel-type imagery. She suggested that was because of the music, which sounds like something you'd hear at a beach bar in Florida. She also said she had a gross feeling at one point because she felt like she had become a plant -- specifically a twisting vine. She suggested we test the music > imagery hypothesis by trying it to different songs and taking notes.
Aftermath of 15 minutes felt similar to MJ for both of us, then totally normal. We got up and proceeded to eat dinner. Next time I'm not fighting the vortex. I want to see where all this leads. I would characterize the experience as both subtle and powerful, like a shy but very strong woman pushing me on a merry-go-round. I note that we both felt the tug of gravity or some force coming from the same direction, facing as we did in opposite directions on the couch. It grabbed her arm and my legs, but from the same place apparently. One more note: I woke up with powerful headache, but aspirin fixed it and it hasn't come back. Both of us today feel rather bright-eyed and cheery, with good energy.
I can see why some would consider it dangerous, because it's so abruptly disorienting that the 'fight or flight' instinct kicks in, and I imagine some people would try to get up and reorient. But used as we did it, it was totally safe and pleasant and very, very interesting.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


I am experienced in leveraging agile frameworks to provide a robust synopsis for high level overviews. Iterative approaches to corporate strategy foster collaborative thinking to further the overall value proposition.
Bring to the table win-win survival strategies to ensure proactive domination. At the end of the day, going forward, a new normal that has evolved from generation X is on the runway heading towards a streamlined cloud solution. User generated content in real-time will have multiple touchpoints for offshoring.
Capitalize on low hanging fruit to identify a ballpark value added activity to beta test. Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.
Podcasting operational change management inside of workflows to establish a framework. Taking seamless key performance indicators offline to maximise the long tail. Keeping your eye on the ball while performing a deep dive on the start-up mentality to derive convergence on cross-platform integration.
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.
GPA: 3.23
GPA: 3.56
Además de ingeniero, disfruto del trailrunning, atletismo y bicicleta. Deporte al aire libre en general.
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technolgy advancements in the front-end web development world.


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EBD - Easton Bible DIctionary
Horonaim
HORONAIM
"HORONAIM "two caverns, a city of Moab to the south of the Arnon, built, apparently, upon an eminence, and a place of some importance(
Isaiah 15:5
;
Jeremiah 48:3, 5, 34
).
"HORONAIM "two caverns, a city of Moab to the south of the Arnon, built, apparently, upon an eminence, and a place of some importance(Isaiah 15:5; Jeremiah 48:3, 5, 34).


| catch_cnd {rlang} | R Documentation |
This is a small wrapper around tryCatch()
that captures any
condition signalled while evaluating its argument. It is useful for
situations where you expect a specific condition to be signalled,
for debugging, and for unit testing.
catch_cnd(expr, classes = "condition")
expr |
Expression to be evaluated with a catching condition handler. |
classes |
A character vector of condition classes to catch. By default, catches all conditions. |
A condition if any was signalled, NULL
otherwise.
catch_cnd(10) catch_cnd(abort("an error")) catch_cnd(signal("my_condition", message = "a condition"))


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Athletic Director Jim Schaus leaves Ohio
On June 30, Ohio athletic director Jim Schaus officially stepped down after accepting a position as commissioner of the Southern Conference, centered in Spartanburg, South Carolina.
Schaus served as athletic director for 11 years, which were arguably among the most productive in program history. The football team made six bowl game appearances; the baseball and softball teams earned a combined three Mid-American Conference championships, and both basketball teams made their way to the NCAA tournament with Schaus in command.
Amy Dean was named interim director while the university searched for a new candidate, and Julie Cromer was selected, becoming OU’s first female athletic director.
Football: AJ Ouellette makes Browns training camp
A.J. Ouellette, the third-leading rusher in Ohio football history, officially signed a training camp contract with the Cleveland Browns on July 27.
During Ouellette’s time with the Bobcats, he won two bowl games and finished with 3,620 career rushing yards and 32 touchdowns. Ouellette joined the squad as a walk-on in 2014 and left as one of the most well-respected players on the team.
After receiving the call, Ouellette made a post to Instagram and gained over 800 new followers by the next day.
So far, Ouellette has kept his spot on the roster up to the Browns’ first preseason game against the Washington Redskins. His spot is in less jeopardy after the Browns traded Duke Johnson Jr. to the Houston Texans.
Ouellette originally tried out for the New Orleans Saints, Kansas City Chiefs and Green Bay Packers before receiving the call from the Browns.
Volleyball: Jaime Kosiorek goes pro in Denmark
After an astounding five years as one of the most successful volleyball players in Ohio history, Jaime Kosiorek announced she is going pro.
In an Instagram post on June 18, Kosiorek stated that she will be playing for the Brondby Volleyball Club in Copenhagen, Denmark. Brondby is a part of the Danish Volleyball Federation and regularly competes in season championships in the VolleyLigaen.
Kosiorek was Ohio’s all-time service ace leader with 173 aces, with 53 of those coming during her senior year. She also holds the fifth most kills in program history with 1,380 career kills.
Baseball: Rudy Rott drafted by the Phillies
Following the trend of Bobcats going in the big leagues, Rudy Rott saw his major league dreams come true when he was drafted by the Philadelphia Phillies in the ninth round of the MLB Draft. The first baseman became the first Bobcat to be drafted since Mitch Longo was picked up by the Cleveland Indians in 2016.
Rott is the hit king of Ohio with 293 career hits and earned MAC Player of the Year during his final two seasons. With a career .339 batting average and 39 home runs during his time in Athens, Rott should be remembered in Ohio history books for a long time.
Men’s Golf: Ohio hires new coach
On July 9, Dean announced that Neal Grusczynski would be named as the fourth men’s golf coach in Bobcats history. Grusczynski replaces Carter Cheves, who served as the men’s golf coach for one year.
Grusczynski comes to Ohio after coaching men’s and women’s golf at Cardinal Stritch University from 2015-2018. He led the Wolves to three straight Chicagoland Collegiate Athletic Conference (CCAC) championships and guided the women’s team to their first CCAC championship in 2017.
Grusczynski comes to a program looking to develop a strong young core. Four of the best golfers on the squad are juniors, and one of the incoming freshmen has played for the Swiss National Golf Team since 2011. Another is ranked eighth in the Ecuador Men’s National Rankings.


Unintentional.
Poor design decisions, inadequate choices for visual representation, and obfuscation through decoration and clutter.
Intentional.
Selective sampling, axis manipulation, range cropping, and other techniques can be used to create intentionally bias graphics to support an agenda.


Mission
Success to Autonomous Control, Make own 32 Stack PCB Board. Perfect Detection
Is it Perfect ?


Much of the power of JUMBO comes from applying XPath to structured documents. XPath is a declarative approach to finding nodes within XML documents - it is very widely used and there are many tutorials. Zvon gives a good tutorial, and I suggest you work through it to about example 10. The rest of this tutoriall assumes this knowledge.
principalaxes.xml
template produces as raw output:
<module cmlx:templateRef="principalcomponents" xmlns="http://www.xml-cml.org/schema" xmlns:cmlx="http://www.xml-cml.org/schema/cmlx"> <list cmlx:templateRef="comps"> <array dataType="xsd:double" size="3" dictRef="cc:principalcomp">187.8811 86.435 86.4315</array> </list> <list cmlx:templateRef="rows"> <list> <scalar dataType="xsd:integer" dictRef="x:serial">1</scalar> <array dataType="xsd:double" size="3" dictRef="cc:principal.axes">0.866 -0.4984 0.0404</array> </list> <list> <scalar dataType="xsd:integer" dictRef="x:serial">2</scalar> <array dataType="xsd:double" size="3" dictRef="cc:principal.axes">-0.3215 -0.4932 0.8083</array> </list> <list> <scalar dataType="xsd:integer" dictRef="x:serial">3</scalar> <array dataType="xsd:double" size="3" dictRef="cc:principal.axes">0.3829 0.713 0.5874</array> </list> </list> </module>We wish to remove the scalars, turn the arrays into a matrix and flatten the hierarchy. The
transform
element system provides all the necessary function (explained in tutorial 8, hopeully self-evident here).
(The pullup
process removes unnecessary nesting elements).
The context node (.
) is the top cml:module (i.e. the node you see with the
templateRef
value of "principalcomponents"
. It could also be described (redundantly) as
.//cml:module[@cmlx:templateRef='principalcomponents']
.
The scalars can be addressed by expressions such as:
xpath=".//cml:scalar"
or xpath=".//*[@dictRef='x:serial'']"
or
even ./cml:list/cml:list/cml:scalar[1]
.
These all have virtues and drawbacks (especially when the template is modified in future revisions);
I would suggest xpath=".//cml:scalar[@dictRef='x:serial'']"
which is redundant and so robust.
The arrays should not be addressed by xpath=".//cml:array"
as this would
conflate the eigenvalues and eigenvectors.
So we can use xpath=".//cml:array[@dictRef='cc:principal.axes']"
.
Here are the final transformations (note the use of |
to list both
cml:array
and cml:matrix
elements):
<transform process="delete" xpath=".//cml:scalar[@dictRef='x:serial']"/> <transform process="createMatrix33" xpath="." from=".//cml:array[@dictRef='cc:principal.axes']" dictRef="cc:principalaxes"/> <transform process="pullup" repeat="2" xpath=".//cml:array | .//cml:matrix"/>and the final result:
<module cmlx:templateRef="principalcomponents" xmlns="http://www.xml-cml.org/schema" xmlns:cmlx="http://www.xml-cml.org/schema/cmlx"> <array dataType="xsd:double" size="3" dictRef="cc:principalcomp">187.8811 86.435 86.4315</array> <matrix rows="3" columns="3" dataType="xsd:double" dictRef="cc:principalaxes"> 0.866 -0.4984 0.0404 -0.3215 -0.4932 0.8083 0.3829 0.713 0.5874 </matrix> </module>
Warnings:
[] () ''
are balanced. Remember that a rarely used expression could have undetected errors..
). Thus //cml:list
returns ALL cml:list
s
in the complete
document (which may be undetermined). You probably meant .//cml:list
.attribute
axis. .//*[dictRef]
looks for all elements with a dictRef
child Element. You almost certainly meant .//*[@dictRef]
..//*[@dictRef=dipole]
looks for all elements with a dictRef
attribute
whose value is the same as the value of the dipole
element. You meant .//*[@dictRef='dipole']
./cml:list
only looks for direct list
children
of the context node. You often need ./cml:module/cml:list
or .//cml:list
(all list descendants - but sometimes this
is more than you want../cml:list[2]
is the SECOND list child (as in FORTRAN, not the third as
in zero-based counts (Java, C, etc.)) .transform
functions in some cases.cml:module
, etc. Thus
.//module/list
will fail to return anything - it must be .//cml:module/cml:list
.
Most attributes are in no namespace and should not have a prefix,
cml:scalar[@dictRef='a:b']
; cmlx:templateRef
is the main exception. Thus
.//cml:scalar[@templateRef='foo:bar']
will fail; it should be .//cml:scalar[@cmlx:templateRef='foo:bar']
Namespace prefixes
cml
and cmlx
are hardcoded for you.


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