SECOND BREATH, THE (director: Jean-Pierre Melville; cast: Lino Ventura (Gus), Paul Meurisse (Inspector Bleu), Raymond Pellegrin (Paul Ricci), Christine Fabr=E9ga (Manouche), Marcel Bozzuffi (Joe Ricci), Raymond Loyer (Jacques le notaire), Paul Frankeur (Inspector), Pierre Zimmer (Karloff), 1966-France)
An intricate film noir, about a hardened criminal, Gus (Lino), who escapes after serving 16- years on a murder charge, and returns to his hometown in Marseilles, to make contact with his sister, Manouche (Fabr=E9ga), and get revenge on a crime boss, Joe Ricci (Bozzuffi), who double-crossed him. It is filmed with calm detachment, in black-and- white, giving the film a taut look, as the action is sharp and ruthless, by men who are all business.
Gus is a troubled, desperate 46-year-old, snake-bitten his whole life, he now needs some fast money and another country to go to. But first, while visiting his sister, he runs into a couple of mobsters trying to shake her down, as he disposes of them, he learns of the hit done by Joe Ricci, against Jacques le notaire (Loyer), his sister's friend, which took place in his sister's bar. All this is done in order to frighten Manouche, so that Joe Ricci can get her out of business.
Inspector Bleu (Meurisse) investigates the crime in Manouche's bar, suspecting that Gus is hiding out with his sister's help. In fact, he shows himself to be very perceptive about what is going on among the various crime gangs in Marseilles, as he begins laying a trap to catch Gus, his main concern, at the moment.
Paul Ricci (Pellegrin) is at this time planning a Brink's heist of a million dollar platinum shipment, and he needs 4 men to do the job, but one of the men dies. He asks Karloff (Zimmer) in on the job, but he declines because it involves killing two motorcycle cops, but he recommends Gus to him. Since Gus considers Paul to be the good Ricci brother, he goes along with the heist. The success of the heist in Paris, brings Inspector Bleu there, suspecting Gus is in on that job. He gets lucky back in Marseilles and spots Gus walking in the street, and by having his cops pose as a rival gang, claiming Paul double-crossed them, he uses the trickery of a tape recorder to get the unsuspecting Gus to talk about the heist, who names Paul as the front man.
Gus would rather die than be thought of as a squealer, and the last part of the film becomes increasingly violent and filled with desperation, as he escapes from the police and goes after the men he believes are betraying him.
It is interesting to see how Melville could make a low level hood like Gus, into a seemingly ethical person, that is, within the standards of the criminal mind, and be deemed as an almost sympathetic and, at the same time, pathetic figure, whose crime spree, though unforgiveable, will nevertheless, offer us something about him that is redeeming, that even the wily Inspector Bleu recognizes. This is not great noir, because the acting seemed jarred, but it has a certain tension in it that sustains its somber mood.
REVIEWED ON 4/28/99 GRADE: C+
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
=A9 ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
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Related links: index of all rec.arts.movies.reviews reviews


content[0]
content[1]
카운터: {{ number }}
증가
감소
number grater or equl than 5
number is exactly same as 5
number less than 5
카운터


class Applet
Here is the skeleton for our applet:
import java.applet.Applet ; import java.awt.* ; public class SnowFlakeBasic extends Applet { Graphics graph; // draw a star consisting of six lines of length size // radiating from the point (x,y) // private void drawStar( int x, int y, int size ) { . . . . } public void paint ( Graphics gr ) { graph = gr; int width = getSize().width; int height = getSize().height; . . . . . drawStar( . . . . ); } }
We extend the Applet
class and override the
paint()
method.
The paint()
method is called when the browser needs to fill
in the applet's part of the screen.


2022 B2C Brand Photography and Marketing Refresh
Sample of 2022 monthly B2C Food Marketing kits with updated brand design meant to more closely align the food service brand with its parent company.
Sample of 2022 monthly B2C Food Marketing kits with updated brand design meant to more closely align the food service brand with its parent company.
Art direction of social media post graphics
Editorial layout of food and wellness series
Brand refresh to strengthen brand identity
Created a brand for our catering service, including logo and customizable collateral marketing.
Marketing for quarterly seasonal cafe specials.
Magazine style layout of thought leadership article
Poster to advertise a cafe's new online ordering option, created a composite image that showed different options.
Artwork used for Bay Area Reporter's Best of the Bay marketing campaign.


Emmanuel Daniel
16th, Feb. 2019
@Presidency -- Nigeria
Mark Jeremy
16th, Feb. 2019
@Senate -- Nigeria
Mark Jeremy
16th, Feb. 2019
@Senate -- Nigeria
Mark Jeremy
16th, Feb. 2019
@Senate -- Nigeria
Isaac Itodo
16th, Feb. 2019
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Whimsy
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We provide the best web solutions, from static webpages and eCommerce sites to blogging engines.
Got a problem? No worries! Contact us and we will help until all bugs, glitches, etc. are fixed, irrespective of the time of the day.
We have not reached this phase yet. We will ping as soon as we do, leave us a message.
Business plan pitching and validating in various Startup Platforms,Pre-Launch, Market Assesment
Achieved a Gold Momento for the startup Rainbow Dimensions; mentoring and interaction with Prof.Nagaraja Prakasam (Resident Mentor IIM Bangalore),Mr.Shashikant Chaudhary(MD Global Logic,Angel Investor), Mr.Rajiv Kher(CEO Saraplast,BOD PSAI), Mr.Pratik Doshi(CEO Cheeky Chunk),Mr.Aditya Gandhi(CEO Purple Squirrel Eduventures), Dr. Preeti Bajaj(Director Ghrce,Vice Chair Student Activities IEEE India Council),Dr.Archana Shrivastava(Prof.Incharge Incubation Center Ghrce 2015-16)
First Social initiative , celebration of 31st December 2015 as part of New Year Celebrations held at an Orphanage near Deekshabhoomi,Nagpur in collaboration with AAS-Together for Humanity and No.2 (MAH) AIR Squadron NCC. The second social initiaive of our Startup was held at Zilla Parishad School,Reshimbaug as part of 26January 2016 Indian Republic Day celebrations!
After proper validation and mentoring under Nagaraja Prakasam (Resident mentor IIM-B) in presence of Dr.Archana Shrivastava, the then Incubation Prof. Incharge, RainbowDimensions got incubated and regsitered! One office at Dhantoli,Nagpur and second at Incubation Center within campus of G.H.Raisoni College of Engineering ,Nagpur. Funded various events of Entrepreneurship Cell G.H.Raisoni College of Engineering Nagpur as part of Antaragini and Technorion 2016!
Internships are best practises for implementing and gaining practical hands-on experience! Initiated Stipend based Summer Social(NGO) Internships supporting another startup #NGO_Konnect which won THIRD position at Google STartup Weekend 2016. Co-sponsored #YOGA_RAVE fitness through Yoga and Dance concert as part of 60th Birthday Celebrations of Founder & World Icon of Peace H.H. Sri Sri Ravi Shankar (Guruji) alongwith Mohit Dhapodkar Dance Company(MDDC).
Internet of Brains (IOB) a new concept got introduced in collaboration with Rainbow Dimensions and TecXtra-Wake up with Technology when idea of one common unified plaftform came up after discussions of the founders of both comapnies when research project of Founder-RainbowDimensions got selected for the International Symposium on Internet of Things(IOT). The amazing team of both companies joined hands and collaboratively worked day in and out for #InternetOfBrains!
Founder, Chair(IEEE-62361 & IETE-ISF)
Lead Developer
Lead Designer
Lead Public Relations
Lead Content
Lead Promotions
Making your Global presence via Internet is Cool!  #DigitalYou #DigitalIndia


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Installation methods include custom docker mods for linuxserver.io containers,
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There is also a Docker image available for selfhosting the CSS files.
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 That's a pretty good price for the Oculus Rift S, which is still a really good virtual reality headset.
The Oculus Rift S is one of those cheap but very well built products. So even at under $400, this is the virtual reality headset to get. You'll be able to play hundreds of games on the Rift S.
Amazon is including the controllers with the Rift S as well, which makes the experience of playing a game in VR all that much better.
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Read MoreAs people, we all from time to time go through a phase of rejection, and no matter how modest we try to react and how much we say it's ok or I don't care it hurts like hell. Rejection I think makes you feel like there is something wrong with "YOU" which...
Read MoreThe modern world is steadily developing. Standards of web development sometimes tend to change faster before we try to implement it. So, are you ready to do some innovation with your web application in 2021? We need to identify the trend, approach, and techniques gaining popularity this...
Read MoreFremont, CA: Web development is one of the few industries that changes as quickly as it does. Customer preferences are volatile, to say the least, as languages change, design approaches shift, and consumer tastes shift. Keeping up with the current trends can be difficult. The design and development world is moving in some of the most well-known and ...
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Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Globe Risk Holdings Inc.
Legal Name:
Globe Risk Holdings Inc.
Operating Name:
Globe Risk International Inc.
Mailing Address:
Waterpark Place1100-20 Bay St
TORONTO, Ontario
M5J 2N8
Location Address:
Waterpark Place1100-20 Bay St
TORONTO, Ontario
M5J 2N8
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Company Profile
The Company
Globe Risk was formed in response to a growing requirement in
the international community; that being, the need to secure the
employees, assets and facilities of corporations pursuing
business opportunities in high risk areas of the world.
High risk can be defined as:
Unstable ethnic, religious, military conflicts or dangers of
terrorism which endanger foreigners
Climatic extremes which effect the health and safety of non-
resident travelers
Topographical extremes which effect secure logistics and
transport of people and equipment
Globe Risk is a security management consultancy firm, which
supports security and logistical operations worldwide. Its
skills and experiences encompass but are not limited to:
Threat, Risk, Vulnerability Assessments
Crisis Management planning
Operations Support Services
Security Audits
Nuclear Security Services
Specialized Training
Contingency Planning
Planning and Manpower Solutions
Terrorists and Terrorism
Kidnap and Ransom Intervention
With the strength of our consultants, associates and advisors in
many countries, Globe Risk can provide clients with a single
point of reference for the provision of all security, risk
management, specialized training and logistic services. Our
clients, who operate in remote or hostile environments, have
recognized the effectiveness of dealing with one company capable
of addressing all these special needs and appreciate this "all
in one" capability.
Globe Risk has undertaken consultancy and project work worldwide
in areas of high risk such as Africa (Security Reviews,
Specialized Training, Logistics, and Medical). We have supported
clients in Central and South America (Kidnap and Ransom
Response, Security and Specialized Training) and have sent
V.I.P. protection teams to Asia.
Headquartered in Toronto,Ontario Canada with an associate
company in the United Kingdom (Global Risk Management (UK)
Ltd.). We are available to clients internationally as needs
arise.
With a global network of consultants and advisors, we have the
ability to assign security specialists for projects and
assignments in most countries of the world. In many cases, the
consultants and advisors we send on assignments are local people
who live in or near the region, thereby affording minimum
response time.
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
Canada, with an associate company in U.K., (Global Risk
Management U.K. Ltd.). We are available to clients
internationally, as their needs arise.
Globe Risk was founded by a team of British ex-Special Air
Service (SAS) officers to assist governments, law enforcement
agencies, and the private sector in combating the increasing
threat of criminal and terrorist groups. The mandate of Globe
Risk is to provide up-to-date, relevant, professional training
and consultancy services when needed.
With decades of first hand practical experience, the consultants
at Globe Risk have proven backgrounds in specialist military and
government organizations. As such, our consultants have genuine
expertise in the areas of corporate security, counter-terrorism,
kidnapping, specialized training and military/law enforcement.
Knowledgeable and discreet, Globe Risk consultants work together
as a team to offer the quality of service necessary to meet your
needs.
We abide by the highest standards of confidentiality, integrity,
and discretion. All inquiries will be dealt with in the
strictest of confidence
Plans and Procedure Development
Specialized Training
Threat, Risk, Vulnerability Assessments
Penetration Testing
Concept of Operations and Command and Control
Program Definition and Project Management
Hazards Analysis
phase of a project. We can protect your exploration team,
provide logistical support and secure their samples and
information This last service is most advantageous to our
clients, as it prevents claims of tampering, substitution or
fraudulent results.
* Team support
* Emergency response
* Training programs
* Maximizing results
but not limited to:
Project Management and Administration
Fire Assessment and Response Management
Paramedical Support and Training
Safety Factors
Military and Security Forces Capabilities
External Threats to Government Stability
Internal Threats to Government Stability, Major Factions and
Crime Groups
Organized Crime Groups and Effect On Foreign Businesses
Known Terrorist Organizations, Profiles On, and Threat Potential
Domestic Crime Situations
Medical Facilities
Skilled Trades Personnel: Carpenters; Plumbers; Construction
Workers; Mechanics; Electronics
Risk and Logistics Feasibility Consultancy and Solutions
Management
Security Training and Policy Development
Security Program Development and Implementation
Recruitment Training and Supervision of Regional Security
Personnel
Survey of Existing Security Programs
Installation Security Audits
Airfields and Landing Strips
Contingency Planning
Crisis Management Planning
Medical and Evacuation Planning and Management
Situational Advice and Crisis Intervention
Emergency Response and Disaster Recovery Programs
Regional and Country Risk Assessments
Communications Personnel
Community-Liaison
Media-Relations
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
Canada, with an associate company in U.K., (Global Risk
Management U.K. Ltd.). We are available to clients
internationally, as their needs arise.
Globe Risk was founded by a team of British ex-Special Air
Service (SAS) officers to assist governments, law enforcement
agencies, and the private sector in combating the increasing
threat of criminal and terrorist groups. The mandate of Globe
Risk is to provide up-to-date, relevant, professional training
and consultancy services when needed.
With decades of first hand practical experience, the consultants
at Globe Risk have proven backgrounds in specialist military and
government organizations. As such, our consultants have genuine
expertise in the areas of corporate security, counter-terrorism,
kidnapping, specialized training and military/law enforcement.
Knowledgeable and discreet, Globe Risk consultants work together
as a team to offer the quality of service necessary to meet your
needs.
We abide by the highest standards of confidentiality, integrity,
and discretion. All inquiries will be dealt with in the
strictest of confidence
Plans and Procedure Development
Specialized Training
Threat, Risk, Vulnerability Assessments
Penetration Testing
Concept of Operations and Command and Control
Program Definition and Project Management
Hazards Analysis
phase of a project. We can protect your exploration team,
provide logistical support and secure their samples and
information This last service is most advantageous to our
clients, as it prevents claims of tampering, substitution or
fraudulent results.
* Team support
* Emergency response
* Training programs
* Maximizing results
but not limited to:
Project Management and Administration
Fire Assessment and Response Management
Paramedical Support and Training
Safety Factors
Military and Security Forces Capabilities
External Threats to Government Stability
Internal Threats to Government Stability, Major Factions and
Crime Groups
Organized Crime Groups and Effect On Foreign Businesses
Known Terrorist Organizations, Profiles On, and Threat Potential
Domestic Crime Situations
Medical Facilities
Skilled Trades Personnel: Carpenters; Plumbers; Construction
Workers; Mechanics; Electronics
Risk and Logistics Feasibility Consultancy and Solutions
Management
Security Training and Policy Development
Security Program Development and Implementation
Recruitment Training and Supervision of Regional Security
Personnel
Survey of Existing Security Programs
Installation Security Audits
Airfields and Landing Strips
Contingency Planning
Crisis Management Planning
Medical and Evacuation Planning and Management
Situational Advice and Crisis Intervention
Emergency Response and Disaster Recovery Programs
Regional and Country Risk Assessments
Communications Personnel
Community-Liaison
Media-Relations


Ready for Content
And excited to help push your hypertext out into the world.
Accessible, Fast, and Kinda Nice-Looking
This base template is 1.7KB. and the single, minified CSS that styles it is 10.7KB.
version 0.0.2
This base template is the cononical starting point to building a website with A Reasonable Website.
And excited to help push your hypertext out into the world.
This base template is 1.7KB. and the single, minified CSS that styles it is 10.7KB.


{% load widget_tweaks %} {% block content %}
| Title | File name | Description | File size | Metadata | Created By | Created On | Modified By | Modified On | Reviewed By | Reviewed On | Published Date | Active | Copyright Approved | Copyright Permission | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ content.title }} | {{ content.filename }} | {{ content.description }} | {{ content.filesize }} | {% for group in content.metadata.all %} {{ group }} {% empty %} No group {% endfor %} | {{ content.created_by }} | {{ content.created_on }} | {{ content.modified_by }} | {{ content.modified_on }} | {{ content.reviewed_by }} | {{ content.reviewed_on }} | {{ content.published_date }} | {{ content.active }} | {{ content.copyright_approved }} | {{ content.copyright }} | {{ content.status }} |
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TEE(1) User Commands TEE(1) NAME tee - read from standard input and write to standard output and files SYNOPSIS tee [OPTION]... [FILE]... DESCRIPTION Copy standard input to each FILE, and also to standard output. -a, --append append to the given FILEs, do not overwrite -i, --ignore-interrupts ignore interrupt signals --help display this help and exit --version output version information and exit If a FILE is -, copy again to standard output. AUTHOR Written by Mike Parker, Richard M. Stallman, and David MacKenzie. REPORTING BUGS Report tee bugs to<EMAIL_ADDRESS>GNU coreutils home page: <http://www.gnu.org/software/coreutils/> General help using GNU software: <http://www.gnu.org/gethelp/> Report tee translation bugs to <http://translationproject.org/team/> COPYRIGHT Copyright © 2011 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>. This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. SEE ALSO The full documentation for tee is maintained as a Texinfo manual. If the info and tee programs are properly installed at your site, the command info coreutils 'tee invocation' should give you access to the complete manual. GNU coreutils 8.12.197-032bb September 2011 TEE(1)


---
layout: post
title: I, Lord of Olive Pits...
date: '2009-03-11T22:08:00.003+10:00'
author: Jamie Teh
tags:
- life
- humour
modified_time: '2009-03-11T22:21:40.477+10:00'
blogger_id: tag:blogger.com,1999:blog-5419412965543098028.post-3248809826859101978
permalink: /2009/03/i-lord-of-olive-pits.html
---
Jen and I noticed a fascinating glitch in the laws of probability recently. If we are eating something containing pitted olives - home made pizza, for example - I end up with all of the olives which mistakenly contain pits, while Jen encounters none. We're not just talking one, here. It's usually at least three or four. This has happened a few times now. To prove the point even more, after happily enjoying pizza free of olive pits (while laughing at my somewhat less peaceful pizza experience), Jen gave hungry me a piece of her pizza... and guess what I found when I ate it? Yup... more olive pits. I guess a more logical explanation might be that Jen is consciously or unconsciously doing this...
Actually, this title is rather unsuitable. If I am the lord of olive pits, surely I could convince them to cower and run away or something...


Thoa Nguyen
About
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With this module, the mission maker can define combat missions that will be referenced in the COMBAT ZONES radio menu. In this menu, each of the missions can be checked (briefing), activated (if inactive) or deactivated (if active), smoke markers or lighting flares can be requested.
Let’s start by saying that you can clone the VEAF-Demo-Mission repository and use it as an example (or fork it and create a new mission from your fork).
Please refer to the Load scripts in the mission for loading the scripts.
In the previous paragraph, you were told to create a missionConfig.lua script containing all the mission-specific code. Now we’re going to use it to define combat missions.
Here is the kind of code that you must add in the mission initialisation script:
-- configure COMBAT ZONE
if veafCombatZone then
veafCombatZone.logInfo("Loading configuration")
veafCombatZone.AddZone(
VeafCombatZone.new()
:setMissionEditorZoneName("combatZone_CrossKobuleti")
:setFriendlyName("Cross Kobuleti")
:setBriefing("This is a simple mission\n" ..
"You must destroy the comm antenna\n" ..
"The other ennemy units are secondary targets\n")
:initialize()
)
veafCombatZone.AddZone(
VeafCombatZone.new()
:setMissionEditorZoneName("combatZone_Batumi")
:setFriendlyName("Batumi airbase")
:setBriefing("A BTR patrol and a few manpads are dispersed around the Batumi airbase")
:setTraining(true)
:initialize()
)
veafCombatZone.initialize()
end
Let’s detail this code.
First, we define two combat zones: the Cross Kobuleti and the Batumi airbase.
For each of these zones, we specify a mission editor zone name (more about this later), a friendly name (that will be displayed in the radio menu) and a briefing (also displayed when getting info about a combat zone).
One of the zone is considered a training zone (with the :setTraining(true)
code). This means that:
Then we call the :initialize()
method to finish preparing the combat zone.
Eventually, when all our zones are defined, we call veafCombatZone.initialize()
to initialise the script (build the combat zones and prepare the radio menu).
A combat zone starts with a mission editor zone object. So, first thing first, you must place such an object on the map and name it with a memorable name.
Then, you must add units inside the mission editor zone object (this is very important, as only the units inside the zone will be part of the combat zone), and name the groups with a name that starts with the mission editor zone name (this is equally important, as groups named otherwise will not be part of the combat zone).
Groups can either be actual DCS groups or statics (as the one in the screenshot above) or special groups containing a VEAF command. Whatever type a group is, the first unit of the group can have specific options inserted in its name, conditionning the spawn of the group (or the execution of the command) when the mission is later activated. The groups can have a route, which will be set on the actual group(s) that will be spawned when the mission is activated.
All these groups define combat zone elements, which are stored in memory until the zone is activated. They’ll be destroyed at mission start !
The options all start with a pound symbol, followed by a keyword, an equal sign and a value (surrounded with french quotes if it’s a text value).
E.g. #spawnGroup="patrol-group1"
, or #spawnCount=1
All these options are, as their name implies, optional.
#spawnRadius=500
#spawnChance=25
#spawnGroup="manpad-group1",#spawnCount=2
, repeated over a few mission editor groups in the zone, will make only 2 of them spawn (based on the spawnChance of each one).Important note: DCS has a way of making unit and group names unique by adding a pound symbol followed by a 3 digits number. This is all well and good, but if you separate the different options in a unit name with spaces, only the first option will be kept (DCS mission editor will automatically erase the rest and replace it with its numbering system).
The solution is to use other characters to separate the options in the unit name, such as a comma. E.g. #spawnGroup="patrol-group1",#spawnCount=1,#spawnChance=25
Example of randomisation by using spawnGroup and spawnCount
In this example, we created a zone named combatZone_Batumi, with 6 mission editor groups named combatZone_Batumi - manpad-group1, each one a manpad group with its first unit named #spawnGroup="manpad-group1”,#spawnCount=2,#spawnChance=25 (DCS adds its numbering system to make the names unique).
The result is a randomisation of these manpad groups: each time the combat zone is activated, two random manpad groups out of the six possible groups are spawned.
(this animation also shows a random BTR patrol)
Instead of “simply” adding a DCS group to the mission editor, it’s possible to define a VEAF command that will be executed when the combat zone element will be activated.
This is done by using the #command spawn option; e.g. #command="_spawn group, name sa6"
.
The command itself can be any VEAF command that will be recognized inside a marker at runtime (see Markers), such as:
#command="_spawn group, name sa6"
#command="-samlr"
#command="_name point Kobuleti City"
#command="_cas, defense 3, size 5"
#command="_auth mysecretp@ssw0rd"
The #command spawn option can, of course, be combined with other spawn options.
Using this powerful script, it’s very easy to define a complex, dynamic, randomized yet hand-crafted mission that can be triggered as will by the players when they want to use it. For example, I designed a combat zone that starts a vivid ground battle with (for each side):
#command="_spawn samgroup, size 1, defense 4"
#command="_spawn armorgroup, size 5, armor 5, defense 0" #spawnradius=500
#spawnGroup="RU-manpad",#spawnCount=2,#spawnChance=25
Use the radio menus to :


AutoML Frameworks
There is more to an AutoML system than just its performance. This page contains more information about the integrated AutoML frameworks, including links to their papers, repositories , and documentation 📖. Summaries taken directly from the respective documentation pages. Want to integrate your own framework? Adding your own framework is relatively simple.AutoGluon
AutoGluon enables easy-to-use and easy-to-extend AutoML with a focus
on automated stack ensembling, deep learning, and real-world
applications spanning image, text, and tabular data.
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
We introduce AutoGluon-Tabular, an open-source AutoML framework
that requires only a single line of Python to train highly
accurate machine learning models on an unprocessed tabular
dataset such as a CSV file. Unlike existing AutoML frameworks
that primarily focus on model/hyperparameter selection,
AutoGluon-Tabular succeeds by ensembling multiple models and
stacking them in multiple layers. Experiments reveal that our
multi-layer combination of many models offers better use of
allocated training time than seeking out the best. A second
contribution is an extensive evaluation of public and commercial
AutoML platforms including TPOT, H2O, AutoWEKA, auto-sklearn,
AutoGluon, and Google AutoML Tables. Tests on a suite of 50
classification and regression tasks from Kaggle and the OpenML
AutoML Benchmark reveal that AutoGluon is faster, more robust,
and much more accurate. We find that AutoGluon often even
outperforms the best-in-hindsight combination of all of its
competitors. In two popular Kaggle competitions, AutoGluon beat
99% of the participating data scientists after merely 4h of
training on the raw data.
Auto-sklearn
Auto-sklearn is an automated machine learning toolkit and a drop-in
replacement for a scikit-learn estimator. Auto-sklearn frees a
machine learning user from algorithm selection and hyperparameter
tuning. It leverages recent advantages in Bayesian optimization,
meta-learning and ensemble construction.
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
Automated Machine Learning (AutoML) supports practitioners and
researchers with the tedious task of designing machine learning
pipelines and has recently achieved substantial success. In this
paper we introduce new AutoML approaches motivated by our
winning submission to the second ChaLearn AutoML challenge. We
develop PoSH Auto-sklearn, which enables AutoML systems to work
well on large datasets under rigid time limits using a new,
simple and meta-feature-free meta-learning technique and employs
a successful bandit strategy for budget allocation. However,
PoSH Auto-sklearn introduces even more ways of running AutoML
and might make it harder for users to set it up correctly.
Therefore, we also go one step further and study the design
space of AutoML itself, proposing a solution towards truly
hands-free AutoML. Together, these changes give rise to the next
generation of our AutoML system, Auto-sklearn 2.0 . We verify
the improvements by these additions in a large experimental
study on 39 AutoML benchmark datasets and conclude the paper by
comparing to other popular AutoML frameworks and Auto-sklearn
1.0 , reducing the relative error by up to a factor of 4.5, and
yielding a performance in 10 minutes that is substantially
better than what Auto-sklearn 1.0 achieves within an hour.
Efficient and Robust Automated Machine Learning
The success of machine learning in a broad range of applications
has led to an ever-growing demand for machine learning systems
that can be used off the shelf by non-experts. To be effective
in practice, such systems need to automatically choose a good
algorithm and feature preprocessing steps for a new dataset at
hand, and also set their respective hyperparameters. Recent work
has started to tackle this automated machine learning (AutoML)
problem with the help of efficient Bayesian optimization
methods. In this work we introduce a robust new AutoML system
based on scikit-learn (using 15 classifiers, 14 feature
preprocessing methods, and 4 data preprocessing methods, giving
rise to a structured hypothesis space with 110 hyperparameters).
This system, which we dub auto-sklearn, improves on existing
AutoML methods by automatically taking into account past
performance on similar datasets, and by constructing ensembles
from the models evaluated during the optimization. Our system
won the first phase of the ongoing ChaLearn AutoML challenge,
and our comprehensive analysis on over 100 diverse datasets
shows that it substantially outperforms the previous state of
the art in AutoML. We also demonstrate the performance gains due
to each of our contributions and derive insights into the
effectiveness of the individual components of auto-sklearn.
FLAML
FLAML is a lightweight Python library that finds accurate machine
learning models automatically, efficiently and economically. It
frees users from selecting learners and hyperparameters for each
learner.
FLAML: A Fast and Lightweight AutoML Library
We study the problem of using low computational cost to automate
the choices of learners and hyperparameters for an ad-hoc
training dataset and error metric, by conducting trials of
different configurations on the given training data. We
investigate the joint impact of multiple factors on both trial
cost and model error, and propose several design guidelines.
Following them, we build a fast and lightweight library FLAML
which optimizes for low computational resource in finding
accurate models. FLAML integrates several simple but effective
search strategies into an adaptive system. It significantly
outperforms top-ranked AutoML libraries on a large open source
AutoML benchmark under equal, or sometimes orders of magnitude
smaller budget constraints.
GAMA
GAMA is developed for AutoML research and features a flexible AutoML
pipeline, which makes it easy to develop and evaluate new AutoML
components. GAMA's benchmarking configuration features evolutionary
optimization and ensemble construction.
GAMA: A General Automated Machine Learning Assistant
The General Automated Machine learning Assistant (GAMA) is a
modular AutoML system developed to empower users to track and
control how AutoML algorithms search for optimal machine
learning pipelines, and facilitate AutoML research itself. In
contrast to current, often black-box systems, GAMA allows users
to plug in different AutoML and post-processing techniques, logs
and visualizes the search process, and supports easy
benchmarking. It currently features three AutoML search
algorithms, two model post-processing steps, and is designed to
allow for more components to be added.
H2O AutoML
H2O's AutoML can be used for automating the machine learning
workflow, which includes automatic training and tuning of many
models within a user-specified time-limit. H2O offers a number of
model explainability methods that apply to AutoML objects (groups of
models), as well as individual models (e.g. leader model).
Explanations can be generated automatically with a single function
call, providing a simple interface to exploring and explaining the
AutoML models.
H2O AutoML: Scalable Automatic Machine Learning
H2O is an open source, distributed machine learning platform
designed to scale to very large datasets, with APIs in R,
Python, Java and Scala. We present H2O AutoML, a highly
scalable, fully-automated, supervised learning algorithm which
automates the pro- cess of training a large selection of
candidate models and stacked ensembles within a single function.
The result of the AutoML run is a “leaderboard”: a ranked list
of models, all of which can be easily exported for use in a
production environment. Models in the leader- board can be
ranked by numerous model performance metrics or other model
attributes such as training time or average per-row prediction
speed. The H2O AutoML algorithm relies on the efficient training
of H2O machine learning al- gorithms to produce a large number
of models in a short amount of time. H2O AutoML uses a
combination of fast random search and stacked ensembles to
achieve results competitive with, and often better than, other
frameworks which rely on more complex model tuning techniques
such as Bayesian optimization or genetic algorithms. H2O AutoML
trains a va- riety of algorithms (e.g. GBMs, Random Forests,
Deep Neural Networks, GLMs), yielding a healthy amount of
diversity across candidate models, which can be exploited by
stacked ensembles to produce a powerful final model. The
effectiveness of this technique is reflected in the OpenML
AutoML Benchmark, which compares the performance of several of
the most well known, open source AutoML systems across a number
of datasets.
LightAutoML
LightAutoML is open-source Python library aimed at automated machine
learning. It is designed to be lightweight and efficient for various
tasks with tabular, text data.
Paper to be added.
mljar-supervised
The mljar-supervised is an Automated Machine Learning Python package
that works with tabular data. It is designed to save time for a data
scientist. It abstracts the common way to preprocess the data,
construct the machine learning models, and perform hyper-parameters
tuning to find the best model 🏆. It is no black-box as you can see
exactly how the ML pipeline is constructed (with a detailed Markdown
report for each ML model).
No paper available.
TPOT
TPOT is a Python Automated Machine Learning tool that optimizes
machine learning pipelines using genetic programming. It has a focus
on optimizing models for biomedical data.
Automating biomedical data science through tree-based pipeline optimization
Automated machine learning (AutoML) systems are helpful data
science assistants designed to scan data for novel features,
select appropriate supervised learning models and optimize their
parameters. For this purpose, Tree-based Pipeline Optimization
Tool (TPOT) was developed using strongly typed genetic
programing (GP) to recommend an optimized analysis pipeline for
the data scientist’s prediction problem. However, like other
AutoML systems, TPOT may reach computational resource limits
when working on big data such as whole-genome expression data.


{% extends 'presentation.html' %}
{% load staticfiles %}
{% block slides %}
The web framework for perfectionists with deadlines Models: a thing that contains data (e.g. a blog post) Views: figure out what to show and process Templates: how things are displayedHello, Django
A Pulitzer!
Principles
Features
Model-Template-View (MVC, sorta)
Models
from django.db import models
class Blog(models.Model):
title = models.CharField( max_length=255 )
content = models.TextField( )
pubdate = mdoels.DateTimeField( )
class Meta:
db_table = "blog_posts"


Contract Ruby Developer
Python has made itself the default programming language for data science and machine learning. It’s well documented, simple to use and fun to work with.
But let’s have a look at what happens when we try to add two lists together…
list = [1,2,3]
list + list
[1,2,3,1,2,3]
Not what we expected. Lists can’t perform element wise calculations. In fact, it turns out lists in Python have some big limitations which we’ll need to solve if we want to do the kind of heavy maths needed for machine learning.
Enter Numpy. Numpy is a library for Python which adds support for large multidimensional arrays, matrices, and high level mathematical operations on these new datatypes. It’s fairly intuitive but let’s take a look at some examples…
Once we’ve imported the library, we can create a numpy array by passing in a regular Python list…
import numpy as np
list = [1,2,3]
np_array = np.array(list)
array([1,2,3])
You’ll see it’s just like a regular list, but wrapped in this array()
object. Now let’s revisit our first example…
np_array + np_array
array([2,4,6])
Something to note; arrays can only contain a single data type. If we were to put a string as an element, even a single element, the entire array would be converted to strings. The same goes for floats etc. Numpy expects uniformity in our data types.
Onto some more features; we can create a random array using numpy’s random function, and passing in the dimensions of our array.
a = np.random.rand(3,3)
array([[ 0.63294935, 0.18020465, 0.95212327],
[ 0.98974435, 0.35659871, 0.86290932],
[ 0.46544616, 0.51164278, 0.17143704]])
We can check the shape of our array with the np.shape(a)
method or just by calling .shape
on an existing array…
a.shape
(3,3)
The values returned are the dimensions, starting with the 0th dimension. Most of the time, this will be (rows, columns)
, although Numpy supports higher dimensional arrays, so it’s entirely possible to have a shape of (5,5,5,5,5,5,5)
or higher, which can be a little confusing to think about.
Accessing attributes is just the same as a list, including the use of the colon to denote all entries in that dimension…
a = np.array([[1,2,3],[4,5,6]])
a[0][1]
2
Let’s use the colon to select some ranges. Let’s try all rows, and the middle column (from column 1, up to, but not including, column 2)…
a[:, 1:2]
array([[2],
[5]])
One common operation in machine learning is reshaping arrays. We’ll look at a common example; flattening an image into a single array. We’ll start with an image measuring 28 pixels by 28 pixels, and having a depth of 3 channels (representing the red, green, and blue channels in a colour image)…
image = np.random.rand(28,28,3)
length = image.shape[0]
height = image.shape[1]
depth = image.shape[2]
flat_image = image.reshape(length * height * depth, 1)
flat_image.shape
(784, 3)
When we have two matrices or arrays of different sizes, for example a 3x3 and a 1x3, numpy will duplicate the smaller array to match the size of the other array. This is called broadcasting and will happen on most element wise operations on matrices of different sizes.
It’s probably better illustrated rather than coded. You can see how the smaller arrays are copied in grey to make up the empty space and create a compatible matrix…
Another vital operation that is used everywhere in machine learning is the dot product. The dot product is the summation of an element wise multiplication of two matrices. The dot product can be called using np.dot(a, b)
where a
and b
are two matrices of the same size. For arrays of one dimension, the dot product will be a number, but for multidimensional arrays, the result will be a matrix of the same size as the input size…
a = np.random.rand(3,3)
b = np.random.rand(3,3)
np.dot(a, b)
array([[ 0.35544886, 0.43097739, 0.38872774],
[ 0.73062091, 0.67305096, 0.55726258],
[ 0.43227186, 0.54603886, 0.46658088]])
Made with Prosecco, a Jekyll theme I made while drinking Prosecco.


OAP Scientific Data Information System
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Username:
Password:
Request an account.
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Works with flexbox.
2
Completely seperates layout logic from resize logic. All layout logic must be done by you in the CSS (as it should be).
4
A teensy weensy directive for creating resizable containers.
Works with flexbox.
2
Completely seperates layout logic from resize logic. All layout logic must be done by you in the CSS (as it should be).


{% extends "base.html" %} {% block body %}
| Insider | Relation | Date | Transaction type | Owner type | Shares traded | Price | Shares held |
| {{ trade['insider'] }} | {{ trade['relation'] }} | {{ trade['date'] }} | {{ trade['transaction'] }} | {{ trade['owner'] }} | {{ trade['traded'] }} | {{ trade['price'] }} | {{ trade['held'] }} |


Tourlancers is committed to Indian tourism. It is a social website. It is free in India. It is no less than your own website. By the way, you will get connected with your clients for better business promotion. And to do all these, you don’t even need to have your computer, and the like. Tourlancers is being developed by a group of B.Tech students. It is shortly to come into being on the web. It is meant for all categories of business pertaining to tourism. Your business will be displayed round the globe with unique packaging identity projecting every detail of services together with rates & charges as well as payment gateway for booking. We stand to offer you this amazing FREE service which will take your business to the next level. So why delay? Join with us and build your company page.
Only you need to visit the site https://www.tourlancers.com, sign in and put the details of your business. That’s all. Now you can get to see what happens.  You are now in Tourlancers family. Obviously there are some terms and conditions that you have to accept before signing in. Don’t worry, Security checks will be there in both ends. Last but not the least, your business must comply with the law of the land.


To help you get back to making new memories, we're extending your benefits again!
Enjoy more time to use the rewards you've already earned, plus earn rewards even faster.
To help you get back to making new memories, we're extending your benefits again! Enjoy more time to use the rewards you've already earned, plus earn rewards even faster.
To help you get back to making new memories, we're extending your benefits again! Enjoy more time to use the rewards you've already earned, plus earn rewards even faster.
To help you get back to making new memories, we're extending your benefits again! Enjoy more time to use the rewards you've already earned, plus earn rewards even faster.
To help you get back to making new memories, we're extending your benefits again!
Enjoy more time to use the rewards you've already earned, plus earn rewards even faster.
We tap into experts across marketing disciplines to create coordinated, cross-channel executions that tell your story.
News is information about a recent event or a recently changed situation.I've got some good news for you.
News is information about a recent event or a recently changed situation.I've got some good news for you.Sabine was at home when she heard news of the disaster.
News is information about a recent event or a recently changed situation.I've got some good news for you.Sabine was at home when she heard news of the disaster.
To help you get back to making new memories, we're extending your benefits again!
Enjoy more time to use the rewards you've already earned, plus earn rewards even faster.
We tap into experts across marketing disciplines to create coordinated, cross-channel executions that tell your story.
News is information about a recent event or a recently changed situation.I've got some good news for you.
News is information about a recent event or a recently changed situation.I've got some good news for you.Sabine was at home when she heard news of the disaster.
News is information about a recent event or a recently changed situation.I've got some good news for you.Sabine was at home when she heard news of the disaster.
We tap into experts across marketing disciplines to create coordinated, cross-channel executions that tell your story.
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We tap into experts across marketing disciplines to create coordinated, cross-channel executions that tell your story.


{% extends 'layouts/master.html' %} {% block embed %} {{ uploadModal(ctx) }} {{ editAlbumModal(ctx) }}
The image system is new and under construction, so it's a bit rough around the edges. #willimprove
Here's the announcement post.
← Back to {{ user.uname }}'s images
{% if album.markup %}Description:
{{ album.markup }}


Extends
Methods
-
<private> _findByCollection(name, criteria, callback)
-
Generic private method to dynamically query the collection and fetch data
Parameters:
Name Type Description name
string Collection name to query
criteria
object Criteria for finding data
callback
LokiJSGibbonAdapter~findByNameCallback -
<private> _initializeCollection(collectionName)
-
This gets a collection when not set, it will be created
Parameters:
Name Type Description collectionName
string document collection to be initialized
-
<private> _upsertByCollection(collection, criteria, data, callback)
-
Generic Upsert method for user, group and permission collections
Parameters:
Name Type Description collection
string Dynamic pointer to a collection
criteria
object In this adapter name is our unique reference for all collections
data
object Object to update or insert
callback
LokiJSGibbonAdapter~_upsertByCollection -
addGroup()
-
Add user group
- Inherited From:
- Overrides:
- Source:
-
addGroups()
-
Add array of user groups
- Inherited From:
- Overrides:
- Source:
-
addPermission()
-
Add group permission
- Inherited From:
- Overrides:
- Source:
-
addPermissions()
-
Add array of permissions
- Inherited From:
- Overrides:
- Source:
-
addUser(user, callback)
-
Add a user object to the user collection
Parameters:
Name Type Description user
object The user object
callback
LokiJSGibbonAdapter~addUser -
findGroup()
-
Find group
- Inherited From:
- Overrides:
- Source:
-
<abstract> findGroups()
-
Find array of groups
- Inherited From:
- Source:
-
findGroupsByPermission()
-
Find groups with permission
- Inherited From:
- Overrides:
- Source:
-
findGroupsByUser()
-
Find user groups
- Inherited From:
- Overrides:
- Source:
-
findPermission()
-
Find permission
- Inherited From:
- Overrides:
- Source:
-
findPermissionsByUser()
-
Find user permissions
- Inherited From:
- Overrides:
- Source:
-
findUser()
-
Find user
- Inherited From:
- Overrides:
- Source:
-
findUsersByGroup()
-
Find users with group
- Inherited From:
- Overrides:
- Source:
-
findUsersByPermission()
-
Find users with permission
- Inherited From:
- Overrides:
- Source:
-
initialize()
-
Initialize adapter
- Inherited From:
- Overrides:
- Source:
-
removeGroup()
-
Remove a group
- Inherited From:
- Overrides:
- Source:
-
removePermission()
-
Remove a permission
- Inherited From:
- Overrides:
- Source:
-
removeUser()
-
Remove a user
- Inherited From:
- Overrides:
- Source:
-
upsertGroup()
-
Update or insert group (if not exists)
- Inherited From:
- Overrides:
- Source:
-
upsertPermission()
-
Update or insert permission (if not exists)
- Inherited From:
- Overrides:
- Source:
-
upsertUser()
-
Update or insert user (if not exists)
- Inherited From:
- Overrides:
- Source:
-
validateUserWithAllPermissions()
-
Validate a user against e.g. given permissions
All permissions given, need to correspond with the permissions owned by this user.- Inherited From:
- Overrides:
- Source:
-
validateUserWithAnyPermissions()
-
Validate a user against e.g. given permissions
When one of the given permissions are found at this user, user is valid.- Inherited From:
- Overrides:
- Source:
Type Definitions
-
_upsertByCollection( [error] [, dataFound])
-
Callback when upsert is done (insert new or update is exists).
Parameters:
Name Type Argument Default Description error
Error <optional>
null Error is omitted
dataFound
object <optional>
One instance of a fetched record
-
addGroup( [error] [, user])
-
Callback when add is done.
Parameters:
Name Type Argument Description error
Error <optional>
Error thrown by LokiJS
user
object <optional>
Added group
-
addGroups( [error] [, groups])
-
Callback when add is done.
Parameters:
Name Type Argument Description error
Error <optional>
Error thrown by LokiJS
groups
Array <optional>
Added groups
-
addPermission( [error] [, permission])
-
Callback when add is done.
Parameters:
Name Type Argument Description error
Error <optional>
Error thrown by LokiJS
permission
object <optional>
Added permissions
-
addPermissions( [error] [, permissions])
-
Callback when add is done.
Parameters:
Name Type Argument Description error
Error <optional>
This could contain an error emitted by LokiJS
permissions
Array <optional>
Inserted permissions
-
addUser( [error] [, user])
-
Callback when add is done.
Parameters:
Name Type Argument Description error
Error <optional>
Error thrown by LokiJS
user
object <optional>
Added user
-
findByNameCallback( [error] [, userObject])
-
Callback when document fetching is done
Parameters:
Name Type Argument Default Description error
Error <optional>
null Error is thrown by LokiJS
userObject
object <optional>
Instance of a fetched record
-
findGroup()
-
Callback when fetching is done.
- Source:
- See:
-
- _findByCollection
-
findGroupsByPermission( [error] [, users])
-
Callback when fetching is done.
Parameters:
Name Type Argument Default Description error
Error <optional>
null Error when Loki throws an error
users
object <optional>
Collection of found groups
-
findGroupsByUser( [error] [, groups])
-
Callback when fetching is done.
Parameters:
Name Type Argument Description error
Error <optional>
If user not found or an error thrown by LokiJS
groups
Array <optional>
Fetched groups from one given user
-
findPermission()
-
Callback when fetching is done.
- Source:
- See:
-
- _findByCollection
-
findPermissionsByUser( [error] [, permissions])
-
Callback when fetching is done.
Parameters:
Name Type Argument Description error
Error <optional>
If user not found or an error thrown by LokiJS
permissions
Array <optional>
Fetched permissions from one given user
-
findUser()
-
Callback when fetching is done.
- Source:
- See:
-
- _findByCollection
-
findUsersByGroup( [error] [, users])
-
Callback when fetching is done.
Parameters:
Name Type Argument Default Description error
Error <optional>
null Error when Loki throws an error
users
object <optional>
Collection of found users
-
findUsersByPermission( [error] [, users])
-
Callback when fetching is done.
Parameters:
Name Type Argument Default Description error
Error <optional>
null Error when Loki throws an error
users
object <optional>
Collection of found users
-
initializeCallback()
-
Callback when initializing is done.
-
removeGroup( [error])
-
Callback when removal is done.
Parameters:
Name Type Argument Description error
Error <optional>
This could contain an error thrown by LokiJS
-
removePermission( [error])
-
Callback when removal is done.
Parameters:
Name Type Argument Description error
Error <optional>
This could contain an error thrown by LokiJS
-
removeUser( [error])
-
Callback when removal is done.
Parameters:
Name Type Argument Description error
Error <optional>
This could contain an error thrown by LokiJS
-
upsertGroup()
-
Callback when update is done.
- Source:
- See:
-
- _upsertByCollection
-
upsertPermission()
-
Callback when update is done.
- Source:
- See:
-
- _upsertByCollection
-
upsertUser()
-
Callback when update is done.
- Source:
- See:
-
- _upsertByCollection
-
validateUserWithAllPermissions( [error], valid)
-
Callback when validating is done.
Parameters:
Name Type Argument Description error
Error <optional>
If user not found or an error thrown by LokiJS
valid
boolean When valid or not
-
validateUserWithAnyPermissions( [error], valid)
-
Callback when validating is done.
Parameters:
Name Type Argument Description error
Error <optional>
If user not found or an error thrown by LokiJS
valid
boolean When valid or not


GNSDK Documentation
Release Number 3.2.0
Published:
1/8/2013 7:41 AM
PDF version of the Developer's Guide:
GNSDK Developer's Guide
Gracenote, Inc.
2000 Powell Street, Suite 1500
Emeryville, California
94608-1804
www.gracenote.com
How can we improve this documentation?


© 2016 Przemyslaw Dera | Template design by Andreas Viklund modified by Aaron S. Wolf
Photographs by Greg Finkelstein


---
title: "Recipe of Perfect Passion Bars Delicious"
slug: passion-bars
description: "Passion Bars Recipe - Oatmeal bars with a caramel flavored peanut butter topping. A big hit at pot-lucks! Very rich, also! Recipe of Any-night-of-the-week Passion Bars Tasty"
date: 2021-04-20T06:12:35Z
image: https://cdn.statically.io/img/healthycampus.ucr.edu/sites/g/files/rcwecm2766/files/styles/form_preview/public/man-cooking-fresh-healthy-vegetables-salad-at-kitc-M9YSBBE.jpg
thumbnail: https://cdn.statically.io/img/healthycampus.ucr.edu/sites/g/files/rcwecm2766/files/styles/form_preview/public/man-cooking-fresh-healthy-vegetables-salad-at-kitc-M9YSBBE.jpg
cover: https://cdn.statically.io/img/healthycampus.ucr.edu/sites/g/files/rcwecm2766/files/styles/form_preview/public/man-cooking-fresh-healthy-vegetables-salad-at-kitc-M9YSBBE.jpg
author: Pratiwi
ratingvalue: 4.4
reviewcount: 907
recipeingredient:
- "2 cups quick cooking oats"
- "1 cup all-purpose flour"
- "1 cup brown sugar"
- "½ teaspoon salt"
- "½ teaspoon baking soda"
- "¾ cup butter, softened"
- "1 (14 ounce) can sweetened condensed milk"
- "¾ cup peanut butter"
- "1 cup semisweet chocolate chips"
recipeinstructions:
- "Preheat oven to 350 degrees F (175 degrees C). Grease a 9x13 inch baking pan."
- "In a large bowl, stir together the oats, flour, brown sugar, salt and baking soda. Cut in the butter to form a crumbly mixture. Reserve 1 1/2 cups of the crumbs, and pat the rest evenly into the bottom of the prepared pan. In a medium bowl, stir together the sweetened condensed milk and peanut butter. Spread evenly over the oatmeal layer. Sprinkle the chocolate chips over the peanut butter layer, then crumble the reserved crust over the top."
- "Bake for 30 to 35 minutes in the preheated oven, until golden brown. Cool completely before cutting into bars."
categories:
- "Desserts"
- "Cookies"
- "Bar Cookie Recipes"
- "Recipes"
tags:
- "desserts"
- "cookies"
- "bar cookie recipes"
katakunci: passion bars, desserts, cookies, bar cookie recipes, .
nutrition: 251.7 calories
recipecuisine: Western
preptime: "P0DT0H30M"
cooktime: "P0DT0H25M"
totaltime: "P0DT0H60M"
recipeyield: "1 - 9x13 inch pan"
recipecategory:
- Desserts
- Cookies
- Bar Cookie Recipes
quotes: Magic happens in the kitchen during lunch time and dinner time.
---
Passion Bars - Hello everybody, hope youre having an incredible day today. Its me again Pratiwi , welcome to our recipe website. Today, we are going to prepare a distinctive dish, Passion Bars. It is one of my favorites recipes. This time, I am going to make it a little bit unique. This will be really delicious.
Passion Bars is Oatmeal bars with a caramel flavored peanut butter topping. A big hit at pot-lucks! Very rich, also!
Passion Bars is one of the most favored of recent trending foods on earth. its easy, it is quick, it tastes delicious. It is appreciated by millions every day. It is simple, it is quick, it tastes delicious. Passion Bars is something that I ve loved my whole life. They re nice and they look fantastic. They re fine and they look wonderful. Passion Bars is something that I ve loved my entire life.
How to Prepare Ultimate Passion Bars Delicious
To get started with this particular recipe, we have to first prepare a few ingredients. You can have Passion Bars using 9 ingredients and 3 steps. Here is how you cook it.
The ingredients needed to make Passion Bars:
-
Make ready 2 cups quick cooking oats
-
Make ready 1 cup all-purpose flour
-
Prepare 1 cup brown sugar
-
Prepare ½ teaspoon salt
-
Make ready ½ teaspoon baking soda
-
Get ¾ cup butter, softened
-
Prepare 1 (14 ounce) can sweetened condensed milk
-
Get ¾ cup peanut butter
-
Prepare 1 cup semisweet chocolate chips
Step by Step to cook Passion Bars:
-
Preheat oven to 350 degrees F (175 degrees C). Grease a 9x13 inch baking pan.
-
In a large bowl, stir together the oats, flour, brown sugar, salt and baking soda. Cut in the butter to form a crumbly mixture. Reserve 1 1/2 cups of the crumbs, and pat the rest evenly into the bottom of the prepared pan. In a medium bowl, stir together the sweetened condensed milk and peanut butter. Spread evenly over the oatmeal layer. Sprinkle the chocolate chips over the peanut butter layer, then crumble the reserved crust over the top.
-
Bake for 30 to 35 minutes in the preheated oven, until golden brown. Cool completely before cutting into bars.
So that is going to wrap this up for this exceptional food Passion Bars recipe. Thank you very much for your time. I am confident you can make this at home. There is gonna be another interesting food at home recipes coming up. Dont forget to bookmark this page in your browser, and share it to your loved ones, colleague and friends. Thank you for reading. Go on get cooking!
Reviews of Passion Bars:
-
Duckball - SOOOOOO good! I had half a can of sweetened condensed milk to use up, and I'm so glad I found this recipe! I did a half-batch and I pretty much followed the recipe... Although I didn't measure the peanut butter, just put a huge spoonful of it in the milk. Oh, and a hint: It's much easier to mix the milk/PB-mix and spread it over the crust if you heat it in the microwave for 15 or 30 seconds. Then in blends really easily and it's pretty simple to smooth over the base. I also pressed down on the top crust a little to make sure it would not fall apart. Wonderful! I lined the 8" pan with foil, sprayed it, and it was simple to remove and cut the bars. Thanks, Sue, I LOVE this recipe!
-
Tia the Baker - this recipe is excellent and so easy! they look great too. next time i will try white chocolate chips and butterscotch chips. if you slightly heat the condensed milk + peanut butter mixture in the microwave, it helps to ease the spreading over the oatmeal base.
-
homeschooler3 - All I can say about these bars is run to your kitchen and make them now, especially if you love PB & Chocolate together :o) I followed the directions to a "T" and these turned out awesome! Everyone who tried them loved them. I did line my pan with foil so the bars lifted out easier to cut. I stored mine in the fridge.
-
Kimberly Longfellow - OMG! These are incredible! I didn't have any sweetened condensed milk on hand so I looked up a subsitute and it was fantastic better even than canned sw. cond. milk. 2 eggs 2 Tbl flour 1 tsp vanilla 1/4 tsp. salt 1 cup br. sugar and 1/2 tsp Baking powder. (Who'd have thought that you could make your own sweetened condensed milk?) Thanks so much for the recipe! It's a keeper!
-
5 in family - Wow. These are really good and not too sweet. My young kids gobbled these up and I have to say my hubby and I were right there with 'em!! I didn't measure the choc chips just added to coat the pan. Also added a handful or 2 of white chips. I didn't have all the peanut butter it called for which didn't matter. The peanut butter and cond. milk aren't hard to mix at all..just a little elbow grease.:) The recipe calls for you to allow them to cool before cutting them but I had to try them out of the oven and I think they would be awesome warm with vanilla ice cream! I will definately keep this recipe. Thank you so much!!
-
Ali - SOOOO GOOOOOD! I only used 1/2 cup of chocolate chips because I didn't want to make the chocolate overpowering. They came out perfect. I've tried them a few times and they always come out a little better and softer when I bake them in a glass pan instead of a metal one. I've also used peanut butter chips instead of chocolate chips. MMMMMmmm...
-
Dawn - I have made these several times; they seem to work for me everytime. I make sure however not to bake them too long. This will definitely leave that burnt chocolate chip aftertaste. Watch your oven and these will definitely be a hit!
-
SIOCHANLEAT82 - Can you say "Little slice of heaven"?
-
TUNISIANSWIFE - these are so darned good! I didn't change anything except I don't use instant oats; I like the bigger flakes of oats that the old-fashioned rolled oats provides. Never fails to amaze me how people will rate a recipe less stars because they are 'rich' or 'too sweet'; all one has to do is look at ingredients to realize yes they have ingredients that produce a rich dessert bar but oh so good. Didn't have a problem mixing the milk and pb-just a few whips with the wisk and it was incorporated. Used a glass pan and no sticking at all; 30 min. was perfect. TIP to avoid browning of morsels or pb mixture refrain from spreading to the edges of pan. I had no problems. thanks for this quick and easy recipe. love it.
-
JOSIE - These were good but a little too rich for my liking. I used a full bag of chocolate chips..(I'm not sure if that's more than 2 cups) but it was way too much. The chocolate overpowered everything else and made these sickly sweet. I did like the crust. It had a good flavor and I loved the oatmeal in it. Would probably only use half a bag of chocolate chips next time.


Families and Religion
Week 13
Levi Sands
Social Networks
- A social structure made up of a set of social actors (such as
individuals or organizations), sets of dyadic ties, and other social interactions
between actors
- Individuals are interdependent and mutually construct and are
constructed by their connections with others
- Structure of these connections shapes the flow of information, beliefs,
and scripts for action
Social Capital
- A form of economic and cultural capital in which social networks are
central
- Market agents produce goods and services not mainly for themselves, but for
a common good
- Transactions are marked by reciprocity, trust, and cooperation
- Ability of group to maintain and enforce norms (informal social control)
- Diffusion of resources
Networks as Social Cohesion
- Highlights the “good” social features of an individual’s environment (home,
work, school…)
- Trust, reciprocity, information, social support/solidarity, social
norms/sanctioning, emotional energy
- Associated with lower risk of distress (Phongsavan et al. 2006; Song
and Lin 2009)
- lower mortality and higher selfrated health (Kim et al. 2008)
- fewer depressive symptoms (Almedom and Glandon 2008)
- lower rates of smoking, drinking, risky sexual behaviors (Lindstrom
2008)
What about negative effects?
- Sources of ... (Pescosolido 2000)
- monitoring
- control
- hassle
- Too much regulation and/or support can lead to negative consequences (Falci
and McNeely 2009; Pescosolido 1994)
Stack and Eshleman (1998)
Umberson et al. (2006)
Cornwell and Waite (2012)
Ailshire and Burgard (2012)
Chronic Conditions
Allostatic Load
Questions (write your answers down on a sheet of paper, feel free to discuss with
your group members but use different examples)
- What are some specific examples of positive effects from social networks that you can think
of? List at least 3 items.
- What are some specific examples of negative effects from social networks that you can think
of? List at least 3 items.
- Think about the people you know personally, list as many people who are experts in something
that you can rely on for favors or advice i.e. Doctors, plumbers, lawyers, etc.
Discussion
- How many of know doctors?
- How many of know lawyers?
- How many of know handymen (construction)?
- How many of know mechanic?
- Others?
- How many of know an accountant?
- Resource implications for disadvantaged groups?
Group Activity
Choose 1 and write at least 3 ideas, opinions, and/or examples down (pick DIFFERENT
questions from your group members, put them on your individual paper, then discuss what you
wrote with your group members)
- How does religion affect social networks?
- How can having many social network connections be bad for that individual?
- How can having many social network connections be good for that individual?
- How does being in a disadvantaged group affect your social network?
- Is it harder to form social connections with those who are different from you?
- How is the Internet changing social networks?


OVERVIEW
EDUCATIONAL QUALFICATION
CARIEER OBJECTIVES
ACTIVITIES
SOFWARE SKILLS
AREA OF INTEREST
SUMMARY


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Moon Jelly is a type of jelly fish. It is very cute. More importantly, it's the friend of JennyFish.
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Proficient in HTML5, CSS3, JavaScript, jQuery, Node.js, Bootstrap, Materialize, Express.js, Handlebars, MongoDB, MySQL, Firebase, & REACT.
Connect with me on LinkedIn
Discover my projects
<EMAIL_ADDRESS>See Account


Parabola
Reviewed July 24, 2019Parabola is a node-and-wire programming environment for non-technical users. It enables businesses to perform ETL-type operations to and from their SaaS apps (Salesforce, Clearbit, Stripe, MailChimp, etc). It allows for joining across SaaS data sources and then re-exporting back to those apps. It’s like Excel, but for millions of rows, and with some Zaper-like cloud powers. It was founded in 2015 and raised $2.2M in May 2018.
Product Feel
- 👍 Slick-looking interface
- 👍 Some surprisingly smart transformations
- 👍 A few good API integrations
- 👎 Unreadable code: hides the data and shows generic nodes
- 👎 Not fluid: lots of clunky dialogue boxes
- 👎 Inelegant: series of hacks that are impossible to figure out without help. (But with help, it’s surprisingly powerful.)
Basic Usage
The above video creates a Parabola program that pulls in and cleans data from Google analytics. It demonstrates :
- adding nodes and wires
- authenticating to Google analytics
- drop-downs for property values
- their custom, readable syntax for dates
- intermediate results preview
- filtering rows
- find and replace in text
- merging duplicate rows
- splitting a column into two
- computing a new column as a mathematical expression of other columns
- deleting columns
Table model
Like in SQL, in Parabola, everything is a table. The uniformity is both clean and also rigid. For example, you have to convert JSON blobs to tables as well. As the documentation below warns, it creates columns even for nested attributes. For example, {name: {"first": "John", "last": "Smith"}}
would create two columns: name.first
and name.second
.
Smart Table Flipper
I was really impressed by the existence of this block; it's the type of non-obvious but super useful functionality that is only earned through customer feedback. I've written the code to do exactly this by hand many times. It's main use-case is with object stores, like Firebase. It turns a large object to an array of rows. However, I never would’ve found this block unless the very helpful customer success guy mentioned it.
Smart Date Formatter
I was pleasantly surprised when their date formatter was able to correctly guess the date format in my data without me specifying an example format. Wouldn't that be amazing to have in all date libraries?
Hides Data
Like most node-and-wire tools, Parabola visualizes the control flow but hides the data. You have to click on each node individually to see the current state at that point. This also means you can't see the data of multiple nodes at the same time.
I prefer an older version of the product which visualizes the data:
Pricing
Wishes
- Delete, cancel, or modify running API import - this was very annoying
- Filter based on a nested data structure
- Cache large data sets so they don’t have to reload on page reload
- Be faster on nested JSON data
- Chart my data on a graph
- Copy and paste data in (need to upload a file)
- Upload .json file (needed to convert to CSV)
- Change the label of nodes for clarification
- Double click to zoom
- Select data text for copy and paste (you couldn’t select)
- Not have to wait for nodes to load before connecting them to other nodes


--- title: Constricted development with reticulate author: Jonathan Carroll date: 2018-04-04 23:38:05 slug: reticulate categories: [R] tags: [rstats] type: '' subtitle: '' image: '' ---
I’ve been using the reticulate package occasionally for a while now, so I was surprised to see that it had only just been officially released.
reticulate: R interface to Python https://t.co/qVWmwoMQAP. Comprehensive set of interoperability tools including R Markdown Python engine #rstats #pydata pic.twitter.com/SuWM6Y3Pk0
— RStudio (@rstudio) March 26, 2018
I’ve been using the reticulate package occasionally for a while now, so I was surprised to see that it had only just been officially released.
reticulate: R interface to Python https://t.co/qVWmwoMQAP. Comprehensive set of interoperability tools including R Markdown Python engine #rstats #pydata pic.twitter.com/SuWM6Y3Pk0
— RStudio (@rstudio) March 26, 2018
It’s a brilliant piece of work, allowing python and R to coexist in the same workflow.
Another opportunity came up today to use it so I thought it might be nice to do a very quick blog post to show just how easy it is to take external python code and have it callable directly from R. In this case, [@coolbutuseless](https://twitter.com/coolbutuseless) posed a challenge on Twitter to write a fast ‘needle in a haystack’ search of a small vector inside a larger one. I looked over the existing candidates and figured some sort of Sieve of Eratosthenes-esque algorithm might have a chance (though the name eluded me entirely at the time).
My proposal was to search for the first digit using which()
, and use this
reduced vector of possible-matches in additional tests on the remaining parts of
the ‘needle’. [@coolbutuseless](https://twitter.com/coolbutuseless) refactored
my attempt allowing for arbitrary length needles and found it to do quite well
against the current
offerings.
What he still wanted though was a Boyer–Moore string search
algorithm
implementation. This is apparently what GNU grep
uses,
so it’s probably pretty okay.
That algorithm is pretty clever about how it goes about the search, starting in a similar way to what I did (the sieve approach was apparently the leading string match method prior to Boyer-Moore). It’s much more complicated though, so I wasn’t about to write one of those myself in R. Nowadays, people think of C/C++ when there’s functionality they want to grab from elsewhere. There’s a C implementation on the Wikipedia site, so that seems like a nice place to start. I saved the text to a new boyermoore.c
file and ran
R CMD SHLIB boyermoore.c
from a terminal to compile it into boyermore.so
. This could then be loaded into R with dyn.load("boyermore.so")
and in theory called with .C("boyer_moore", <something>, <something>)
. I tried a couple of <something>
s (which weren’t pointers) and promptly crashed RStudio.
The python implementation is also listed on Wikipedia, so I figured that’s another route to try. I saved the text to a new boyermoor.py
file (also embedded below) and started about loading the functions from R. This is actually much simpler than for C:
library(reticulate)
bm <- py_run_file("boyermoor.py")
This executes the python file and creates a new named list with each exported python function as an element. How easy is that!?! Calling the function would be as easy as
bm$string_search(needle, haystack)
Not quite that easy of course… The implementation assumes that both the ‘needle’ and the ‘haystack’ are text, not numbers. To solve this, I converted my numbers (in the range 0 to 12) to letters using the built-in LETTERS
vhat it worked as expected, a benchmark test showed that it was nowhere near as fast as my R approach. I can’t say this is due to the algorithm itself, which should be fairly fast, but probably has more to do with the fact that I’m using two different languages.
The entire call from R looks pretty neat and tidy
{{% gist jonocarroll d658b5ccf33aaef150b6b36f055d2d6d %}}
despite a lot of python code in the background
I’d certainly recommend having reticulate
in your arsenal next time you need to attack a problem using python from within R. There’s a whole heap of useful ways to interact between R and python with this including importing python modules and calling python scripts, etc…


How is ROI immediate?
Monitoshi Community edition is very easy to install and straightforward to maintain.
You will receive an email when your service is down. You will be the first to know, before your customers start to complain.
Is it really Free?
We are free software activists, Freedom has no price. So the community edition is free and we offer a hosted/ready to use version for a small fee.
How can I adapt Monitoshi to my usecase?
Monitoshi has an API and can call web hooks.
How to best work with you and Monitoshi?
You can extend the tool and contribute. Or hire one of us.
A wonderful service that is able to monitor an unlimited number of URL-addresses. Also, it supports the ability to send an email when your site "falls." Another important feature of this service is that Monitoshi is free, while other online services require payments after the "test period".


Once you identify your data type, you can choose your data visualizations accordingly. For guidance, see Table 2.6.1:


OHL Roundup: Pavel Gogolev leads Storm over Rangers to extend win streak
KITCHENER, Ont. — Pavel Gogolev scored once and set up two more as the Guelph Storm extended their win streak to nine games with a 5-1 win over the Kitchener Rangers on Tuesday in Ontario Hockey League action.
by Canadian PressKITCHENER, Ont. — Pavel Gogolev scored once and set up two more as the Guelph Storm extended their win streak to nine games with a 5-1 win over the Kitchener Rangers on Tuesday in Ontario Hockey League action.
Gogolev's three-point effort moved him into sixth in league scoring with 34 points in 19 games.
Cam Hillis had a goal and an assist for the Storm (12-4-3) while Josh Wainman, Cedric Ralph and Keegan Stevenson rounded out the offence.
Riley Damiani scored for the Rangers (7-8-4), who entered the night with just three wins in their last 10 games.
Nico Daws made 30 saves for Guelph as Lucas Pfeil kicked out 20-of-25 shots for Kitchener.
The Storm went 1 for 2 on the power play while the Rangers were 1 for 5 with the man advantage.
---
This report by The Canadian Press was first published Nov. 19, 2019.
The Canadian Press


- Blog Posts
- Technical
- VC, Git and Github
- HTML & CSS
- Arrays & Hashes
- Ruby Enumerable Magic
- Intro to Ruby Classes
- FP vs. OOP
- Loops: JS vs. Ruby
- Dynamic vs. Static Typed languages
- Cultural
- DBC warm up
- Abstract Sequential
- Internet & Bias
- Pairing & Feedbacks
- Stereotype Threat
- Values To Live By
- Situations of Conflict
- Cheat Sheets
- SQL
01/01/2015
HTML & CSS
This week, we learned to build a website using HTML and CSS.
HTML is a front-end web programming language that allows users to design their web page and make it look aesthetically pleasing to the web visitor. For each stylistic feature, HTML uses a different 'tag' to surround a particular content. These tags are used for features like background or text color, 'boxes' to divide the content, or text positioning. Essentially, it is most practical for making a simply webpage look pretty and readable.
CSS works hands in hands with HTML, and makes it easier for users to design their page and avoid repeated formatting. In HTML, every elements formatted requires a separate tag. As a result, it can get pretty tedious, often with way too many tags crowding a page and making it hard to follow the flow of the code.
CSS allows users who have common designs for different elements, or a common format across different webpage, to 'pack' these elements together on a separate page linked to their HTML, attributing them one (or many) stylistic theme. This 'packing' can already be pre-named, if the elements already fall into one category (such as all elements in p, or em) or can be chosen and named by the users, via 'class' (see example below) . Essentially, CSS not only avoids repetition, but also facilitates tracking changes and making edits, as it instantly becomes easier for users to see which elements they styled, and to make bulk changes.
This screenshot should give you a good example
Margins, borders and paddings are an important aspect of element positioning via CSS.
The margin represents the space around the box where the content is located. It controls how much spacing the user wants to have around his box of text, and consequently how he wants the boxes to be displayed on his webpage.
The border represents the line around the box, and formatting the border allows a user to customize its thickness, if it should be solid or dashed, its color, and even its border radius (how round its corners should be).
The padding represents the space inside the box, separating the text and the border. It's important to note that the padding element is only used to adjust the position of the text within the box. To make the padding a certain color, the user must use the "background-color" element.
Here is a diagram representing these 3 features (source: Chrome DevTools)


Jimbo is a star. At 38, he is a self-actualized tech-savvy party starter and used car salesman.

Jimbo is a registered user (Rider), and wants to return home from a night of drinking.
Iphone 8 running IOS 11.2.6
Jimbo needs easy UI for potentially inebriated use
Quick gratification from time of rideshare call to pickup
Needs to trust the driver to be safe and get him where he needs to go
J-man looks for a service cheaper than a taxi.
Lack of alternatives to taxis
Rude or unhospitable drivers.
Jimbo uses it atleast once a week- after all, every week has a saturday, right?!


Manual provided free of charge by Pulse Storm LLC. © 2012 all rights reserved.
Support avaiable for registered customers at: http://pulsestorm.net/contact-us
This manual contains an explanation of Commerce Bug's features, as well as tips for optimal use. Reading through the manual will give you a better understanding of how Commerce Bug works. You may end up learning a thing or two about Magento as well.
All Magento class name displayed in Commerce Bug will include a full file system path to the class definition file
Mage_Core_Model_Url_Rewrite
/path/to/magento/app/code/core/Mage/Core/Model/Url/Rewrite.php
Template paths, however, will be listed relative to the design folder
//app/design is infered
frontend/base/default/template/page/2columns-right.phtml
All Commerce Bug related classes/object are suppressed from the data tables.
The following documentation refers specifically of functionality in Magento 1.7+, but most information should be relevant to all Magento versions.
You may view an online demo of Commerce Bug at
http://commercebugdemo.pulsestorm.net/
and purchase a copy in the Pulse Storm Store
http://store.pulsestorm.net/
See CB_README.html
or CB_README.markdown
for instructions on installing Commerce Bug into your Magento system.
The request table contains information about Magento's handling of the HTTP request.
The name of the Magento MVC action controller class the request was ultimately routed to.
The "Full Action Name", as returned by the controller's getFullActionName
method. The full action name combines the URL front/module, controller, and action names into a single string, and is used by various parts of the Magento system
The "front" or "module" portion of the URL as seen by the controller object. Typically this is the first part of the URL
http://example.com/index.php/module/controller/action
but this may not be the case is the requests been re-routed or rewritten.
The controller portion of the URL, as seen by the controller object. This is typically the second part of the URL
http://example.com/index.php/module/controller/action
The action portion of the URL, as seen by the controller object. This is typically the third part of the URL
http://example.com/index.php/module/controller/action
The action name can be used to derive the controller action method by append the word action.
Action Name: view
PHP Action Method: viewAction
The un-rewritten path information for a URL. Most useful when viewing products or category pages. For example, using the sample data, the following URLs
http://magento1point7pointzeropoint1.dev/electronics/cell-phones.html
http://magento1point7pointzeropoint1.dev/electronics/cell-phones/nokia-2610-phone.html
have a path info values of
catalog/category/view/id/8
catalog/product/view/id/16/category/8
This lets you know the cell phone category ID is "8", and the Nokia 2610 product ID is 16.
The CRUD Models tab contains a list of every loaded model object that inherits from Mage_Core_Model_Abstract
. If a model does not inherit from this abstract class, or it fails to fire an after load event, it will not appear in this tab.
CRUD is a software development acronym that stands for for create, read, update and delete. CRUD models allow developrs to automate much of the boilerplate code involved in reading and writing information to and from a database or other datastore. Although Magento doesn't explicitly label the Mage_Core_Model_Abstract
models as CRUD models, this is the purpose they serve in the system. See the "Other Classes" chapter for information on Magento model objects which are not CRUD models.
The Collections tab contains a list of every loaded Magento collection object that inherits from Mage_Core_Model_Mysql4_Collection_Abstract
. If a collection does not inherit from this abstract class, or it fails to fire an after load event, it will not appear on this tab.
Important: Even modern version of Magento contain a few legacy collection which inherit directly from Varien_Data_Collection_Db
. As no events are fired from this class, these collections are not captured in this tab.
The Blocks tab contains a list of every block rendered by the layout object during a Magento page request.
If the block has a template file set, the design path to this file will be included in the "With Template" column. Although rare, it is possible a block may have a template set, but renders via an overridden _toHtml
method.
Important: If a block is not rendered by the Layout object, or is rendered in such a way as it's events do not fire, it will not appear in this list. See the "Other Classes" chapter for hints on finding these classes in your system.
The Layout tab contains information related to Magento's custom layout rendering system.
If you're read "No Frills Magento Layout", you know Magento's layout object is a nested tree of block objects. The text in the "Graphviz" source textarea contains a directed graph file displaying the tree relationships between blocks. You may view this file with a program such as Graphviz, or any other program that renders the directed graph dot
format.
Please Note: This graph relies on the Block object's event handlers. If a block is rendered via an alternative method, it may not be displayed in this graph. Use the "Other Classes" tab to find such block objects.
Layout handles are special signals that tell Magento which blocks to render during a request. This table lists all the handles issued during a request.
The entire, pre-handle-filtered Magneto package layout XML tree for this request.
The final, handle-filtered Magento layout XML tree for this request.
Opens a list of Magento Layout XML files used for this request. Useful for debugging theme conflicts.
A list of information related to Magento's theme system, including
The design package name
The name of the configured "default" theme, where Magneto looks for files before resorting to the base design package
The value of the custom design package, set at System -> Design
The value of the custom design theme, set at System -> Design
Location of the base template folder.
Location of the base layout folder.
Location of the theme locale folder.
Value of the skin
folder currently configured.
Both Commerce Bug's CRUD Models and Blocks tab contain objects which are configured and instantiated via standard Magento mechanisms. However, not all Magento Model and Block classes are created equal. There are many Magento model classes which contain generic business logic that's unrelated to database operations, and there's a number of block object which render via a mechanism other than the Magneto layout object.
The "Other Classes" tab attempts to collect detect when these classes are used during a page request and display their name/file location. To help reduce the number of classes displayed on this tab, Commerce Bug will automatically surpress the display of classes listed at
System -> Configuration -> Advanced -> Commerce Bug
By default the following classes will be suppressed from this tab
Mage_Core_Model_App
Mage_Core_Model_App_Area
Mage_Core_Model_Cache
Mage_Core_Model_Config
Mage_Core_Model_Config_Base
Mage_Core_Model_Config_Element
Mage_Core_Model_Config_Options
Mage_Core_Model_Cookie
Mage_Core_Model_Design
Mage_Core_Model_Design_Package
Mage_Core_Model_Layout
Mage_Core_Model_Layout_Element
Mage_Core_Model_Layout_Update
Mage_Core_Model_Locale
Mage_Core_Model_Message_Collection
Mage_Core_Model_Session
Mage_Core_Model_Store
Mage_Core_Model_Store_Exception
Mage_Core_Model_Store_Group
Mage_Core_Model_Translate
Mage_Core_Model_Translate_Expr
Mage_Core_Model_Translate_Inline
Mage_Core_Model_Url
Mage_Core_Model_Website
Mage_Log_Model_Visitor
Mage_PageCache_Model_Observer
Mage_Persistent_Model_Observer
Mage_Persistent_Model_Observer_Session
Mage_Persistent_Model_Session
Additionally, all Model resource classes will be suppressed from this list as well.
The Events tab contains a list of every event fired during a Magento request.
This information is derived from the Magento application object via reflection, and is therefore not a complete chronological list of every event "fired", but rather includes a list of each unique event name.
Additionally, the area
column may be misleading. If an event is configured in the global
area, Magento will add it to the front
or adminhtml
area automatically before firing it. This means during normal system operation an event listed under the global
area will be duplicated under the frontname
or adminhtml
area.
The Observers tab contains a list of each specific observer method fired during a request.As Commerce Bug itself is attached using the http_response_send_before
event, all Observers for http_response_send_before
may not be listed in this table.
The name of the fired event this observer was listening for.
The name of the configuration node that added this observer
<core_block_abstract_to_html_before>
<observer>
<configured_name>
...
</configured_name>
</observer>
</core_block_abstract_to_html_before>
This name must be unique on a per event basis — otherwise conflicts may occur.
The "type" of the event, if configured. If set to singleton
, Magento will reuse that same event object instance each time the event is fired. If set to model
, Magento will instantiate a new object each time an event is fired. If not set, Magento defaults to singleton
behavior.
The name of the configured class for an observer. This may be a full PHP class
Mage_Cms_Controller_Router
or a Magento model class alias
cms/router
To find the full file path for this class, use the Class/URI Lookup tab.
The name of the called observer method.
The Class Alias Lookup tab demystifies Magento class aliases, and allows you to quickly find any Model, Block, or Helper class.
Magento uses class aliases (i.e. cms/page
) in its factory methods as substitutes for full class names. Entering an alias into the form will expand it into its full Model, Resource Model, Block, and Helper name. This features takes class rewrites into account, and will display the rewritten class name. This is a quick way to determine if Magento is picking up a particular class rewrite configuration.
Entering a full class name (i.e. Mage_Cms_Model_Page
) will return its derived class alias (cms/page
), and inform you if the class has been rewritten.
Occasionally, attempting to derive a particular class alias in a particular context will result in an unavoidable fatal PHP error. You can narrow this problem down by using the "Context" drop-down to return the class alias's full class name for a particular context (Model, Block, Helper)
The System Tasks tab contains easy access buttons for common system tasks, such as clearing the Magento cache, or toggling the value of template path hints.
The System Tasks toggle do not alter information in the core_config_data
table. Instead, toggle values are stored in Magento's cache and then loaded dynamically at runtime via an event observer. This ensures only Commerce Bug users will see the system in its altered state.
When working in a team environment, it's often necessary for certain team members to see the Commerce Bug extension (developers), but for other team members (non-technical management, clients, etc.) to not see the extension.
Commerce Bug itself does not ship with any "access control" rules. Instead, there's a single Magento model object with the class alias commercebug/ison
#File: Commercebug/Model/Ison.php
class Pulsestorm_Commercebug_Model_Ison extends Varien_Object
implements Pulsestorm_Commercebug_Model_Interface_Ison
{
//...
public function isOn()
{
return true;
}
}
Before displaying its interface, Commerce Bug will call this object's isOn
method. If it returns true
, Commerce Bug will display. If not, Commerce Bug's UI will be suppressed.
By creating a standard Magento class rewrite for this method, you may implement your own access control rules (IP based, etc.)
Please Note: Even with this feature, we do not support running Commerce Bug in a production environment. Like all debugging tools, Commerce Bug is designed to display sensitive system information in a public way that may not be appropriate on a production server.
Many tables in Commerce Bug have a search field at the top. You may use this field to search for text in a row. For example, in the "Other Classes" tab, you could find all the non-layout Block classes by searching for
_Block_
You may also search for rows with do not contain a particular bit of text by using a minus (-
) operator. For example, to search for all the classes without Mage_
in their name, enter
-Mage_
Commerce Bug 2 contains a new, streamlined configuration section with the following fields
This settling allows you to turn the Commerce Bug debug menu on and off.
Please Note: Even with this feature, we do not support running Commerce Bug in a production environment. Like all debugging tools, Commerce Bug is designed to display sensitive system information in a public way that may not be appropriate on a production server.
When this setting is set to "On", Commerce Bug will log its data to to Magento's system.log
file.
If custom logging behavior is needed, developers may implement this with with a standard Magento class rewrite. Logging is handled by the helper class commercebug/log
. In a default instalation, that's the helper file at
#File: Commercebug/Helper/Log.php
class Pulsestorm_Commercebug_Helper_Log
{
//...
public function log($message, $level=null, $file = '')
{
if(Mage::getStoreConfig('commercebug/options/should_log'))
{
Mage::Log($message, $level, $file);
}
}
public function format($thing)
{
$helper = Mage::helper('commercebug/formatlog_allsimple');
if($helper)
{
return $helper->format($thing);
}
Mage::Log(sprintf('Could not instantiate helper class: %s',$alias));
}
//...
}
All Commerce Bug logging request are sent through the log
method. The messages themselves are formatted with the format
method. Logging may also be customized with rewrites to the commercebug/formatlog_allsimple
method.
This field allows you to turn off the h
and l
keyboard shortcuts for navigating through Commerce Bug tabs.