My first encounter with 5-MeO-AMT occured almost 1 year ago. I have used it with 3 different people on numerous occasions (Perhaps 15 times). A number of permanent problems have come up which I believe to have been caused by 5-MeO-AMT.
1. Sleep is no longer as good as it used to be. A better way of explaining this is that 10 hours of sleep feels like 5. I never feel rested. It also takes longer to 'recover' from drug use.  I no longer have this ability.
2. Ever since an accidental overdose of 5-MeO-AMT in September I have had persistant visuals (Trails, afterimages, blurry vision, difficulty reading, etc). These visuals have lessened with time, but practically any drug brings them back. Cocaine for instance, now causes OEVs for me. Cannabis brings it back to near tripping proportions.
3. A recent MDMA experience triggered a response that became so severe that it bothered me intensely for days (And still kind of does). After ingesting one pill I had a nice short experience, and as I came down I smoked some cannabis. Between 4 people we smoked 1/8oz of pretty nice bud in about 2.5 hours. By the end of this I was having a full blown trip, but not in a fun way. This was not a result of the ecstacy, however, because its effects had worn off almost completely when this occurred. Basically I was thrown into this crazy state within a few seconds. People were stretched out and distorted, I thought that the building was falling down, and the weird thing is that it felt nothing like any trip I've ever had. It felt scary and weird, like I was in some other dimension or something. My vision kept zooming in on people and in particular their eyes.
The thing about the eyes is what really disturbs me, because I know that this is the work of 5-MeO-AMT. The reason I say this, is that everyone I know who has done it (3 other people besides myself) saw eyes at some point during their experience every single time they did it.  It has ruined cannabis for me, and makes drugs that aren't even remotely hallucinogenic turn into hallucinogens.
One more thing...... Of the 3 other people I know who used 5-MeO-AMT, 2 of them also report significant permanent visual alterations. They both also have experienced increased severity of visuals when using other drugs. One stopped using drugs completely because his visual problem was so severe. Oddly enough, the one person that didn't have lasting visuals was the person who was with me when we ODed (They took the same amount as I did). This leads me to believe that even a low dose could still cause problems and that some people are more likely to be affected than others.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{% raw j2p2jHead %}
Total:
Add New Box
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Increment Server Connect
{{counter}}


fasta.io
a bioinformatics engineer going on adventures;
lost in a random forest of trees
🌳🌲🌳🤓🗺🌴🌳🌲
Jason L. Weirather, Ph.D.
>
Testing multiple entries
Hello!
this is an entry


John Todd
Unafffiliated
Director of Communications and Policy at Bicycle Colorado.
Bachelor's Degree in English and Communication Studies from the University of Puget Sound
80204
I am an unaffiliated voter because I believe a party title shouldn't determine my vote. In the past I have supported causes including Black Lives Matter and other left-leaning organizations because I value the independence and equity-focused nature of their causes. My involvement hasn't gone beyond donating and raising awareness about causes.
I am a member of the Villa Park Registered Neighborhood Organization in West Denver.
I work at a nonprofit, bipartisan advocacy organization aiming to make transportation more equitable across Colorado. Specifically, we focus on bicycles and making biking safer and more accessible for anyone who chooses to ride, but that overlaps with a much wider set of roadway safety issues.
My goal in being a part of the commission would be to ensure an equitable redistricting that is truly representative of Colorado's population. I've been troubled by accusations of gerrymandering in Colorado and elsewhere, and would do my part to ensure that doesn't happen. I do my best to be an empathetic and active listener and take identities other than my own into account when making any decisions, and would bring that to the commission.
I seek multiple perspectives in everything I do. I do not believe that I am a monolith or that my opinions are the only ones that should be valued, and I work to make space for marginalized voices in my personal and professional lives. I believe that consensus, empathetic decision-making and active listening are vital in any process, political or otherwise, and that decisions can't be made in a vacuum or with only one perspective represented. I live my life with the expectation that we are stronger when we remove barriers and work together, and that outcomes driven by that thinking are better for everyone. I would proudly bring that to the commission.
I am a critical thinker who takes time to reflect and analyze before making my opinion known. I try not to be the first person to raise his thoughts in a meeting or discussion, and believe that allows for more insightful decision-making in the long run. I am a problem solver and a person who likes to get things done on deadline and with the highest quality of work.
Male


Available Endpoints
- Dallas/Fort Worth (DFW) - https://dfw.registry.api.rackspacecloud.com/v1.0
Getting started
- Announcement Blog Post
- API Developer Guide
- Integration Instructions
- Client Libraries and Tools
- Product Feedback Forum
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- Initial Service Announcement
- Service Registry Behind The Scenes – Why We Built It
- Service Registry Use Cases - Storing Service Metadata in the Registry
- Rackspace Service Registry Status Update - Performance and Reliability Improvements, New Features and More
- Service Registry Bindings for Netflix Curator
Availability
During preview the service is only available to a limited set of customers. If you want try it out, you can request access here and we will determine your eligibility.


{% extends "base.html" %} {% block content %} Businesses in: {{neighborhood}} {% for business in businesses %} {{ business.name }} Owner: {{ business.user.username }} {{ business.description}} Email: {{ business.email }} {% empty %} No businesses found within your Neighborhood!! {% endfor %} {% endblock %}
{{ business.description}}


This example shows how to use the gmf-contextualdata directive to display coordinates or data related to the point after a right click on the map.
gmf-contextualdata


Password reset token invalid.
Sorry, but the password reset link you used has expired or was invalid.
You can request a new one on the forgot password page.
{% extends "base_not_logged_in.html" %} {% block content %}


All content on this blog is made available under CC-By-SA 4.0 unless specifically noted | Generated by Pelican / ✨


The previous post described Generative Adversarial Networks (GANs), a technique for training generative models for image distributions (and other complicated distributions) via a 2-party game between a generator deep net and a discriminator deep net. This post describes my new paper with Rong Ge, Yingyu Liang, Tengyu Ma, and Yi Zhang. We address some fundamental issues about generalization in GANs that have been debated since the beginning; e.g., what is the sense in which the learnt distribution close to the target distribution, and also what kind of equilibrium exists between generator and discriminator.
The usual analysis of GANs, sketched in the previous post, assumes “sufficiently large number of samples and sufficiently large discriminator nets” to conclude that at the end of training the learnt distribution should be close to the target distribution. Our new analysis, which accounts for the finite capacity of the discriminator net, calls this into question.
Readers looking for new implementation ideas can skip ahead to the section below on our Mix + GAN protocol. It takes other GANs codes as black box and (by adding extra capacity and corresponding training time) often improves the learnt distribution in qualitative and quantitative measures. Our testing suggests that it works well out of the box.
Notation Assume images are represented as vectors in $\Re^d$. Typically $d$ would be $1000$ or much higher. The capacity of the discriminator, namely, the number of trainable parameters, is denoted $n$. The distribution on all real-life images is denoted $P_{real}$. We assume that the number of distinct images in $P_{real}$ —regardless of how one defines “distinct”—is enormous compared to all these parameters.
Recall that the discriminator $D$ is trained to distinguish between samples from $P_{real}$ and samples from the generator’s distribution $P_{synth}$. This can be formalized using different measures (leading to different GANs objectives) and for simplicity our exposition here uses the distinguishing probability which is used in Wasserstein GAN objective:
(Readers with a background in theoretical CS and cryptography will be reminded of similar definitions in theory of pseudorandom generators.)
Finite Discriminators have limited power
The following simple fact shows why ignoring the discriminator’s capacity constraint can lead to grossly incorrect intuition. (The constant $C$ is fairly small and explained in the paper.)
Theorem 1 Suppose the discriminator has capacity $n$. Then expression (1) is less than $\epsilon$ when $P_{synth}$ is the following: uniform distribution on a random sample of $C n/\epsilon^2 \log n$ images from $P_{real}$.
Note that this theorem is not a formalization of the usual failure mode discussed in GANs literature, whereby the generator simply memorizes the training images. The theorem still applies if we allow the discriminator to use a large set of held out images from $P_{real}$, which are completely different than images in $P_{synth}$. Or, if the training set of images is much larger than $C n/\epsilon^2 \log n$ images. Furthermore, common measures of diversity/novelty used in research papers (e.g., pick a random image from $P_{synth}$ and check the “distance” to the nearest neighbor among the training set) are not guaranteed to get around the problem raised by Theorem 1.
Since $Cn/\epsilon^2\log n$ is rather small, this theorem says that a finite-capacity discriminator is unable to even enforce that $P_{synth}$ has large diversity, let alone enforce that $P_{synth}\approx P_{real}$. The theorem does not imply that existing GANs do not in practice generate diverse distributions; merely that the current analyses gives no reason to believe that they do so.
The proof of the Theorem is a standard sampling argument from learning theory: take an $\epsilon$-net in the continuum of all deep nets of capacity $n$ and a fixed architecture, and do a union bound. Please see the paper for details. (Aside: the “$\epsilon^2$” term in Theorem 1 arises from this argument, and is ubiquitous in ML theory.)
Motivated by this theorem, we argue in the paper that the correct way to think about generalization for GANs is not the usual distance functions between distributions such as Jensen-Shannon or Wasserstein, but a new distance we define called Neural net distance. The neural net distance measures the ability of finite-capacity deep nets to distinguish the distributions. It can be small even when the other distances are large (as illustrated in the above theorem).
Corollary: Larger training sets have limited utility
In fact theorem 1 has the following rephrasing. Suppose we have a very large training set of images. If the discriminator has capacity $n$, then it suffices to take a subsample of size $C n/\epsilon^2 \log n$ from this training set, and we are guaranteed that GANs training using this subsample is capable of achieving a training objective that is within $\epsilon$ of the best achieved with the full training set. ( Any more samples can only improve the training objective by at most $\epsilon$. )
Existence of Equilibrium
Let’s recall the objective used in GAN (for simplicity, we again stick with the Wasserstein GAN):
where $G$ is the generator net, and $P_{synth}$ is the distribution of $G(h)$ where $h$ is a random seed. Researchers have noted that this is implicitly a $2$-person game and it may not have an equilibrium; e.g., see the discussion around Figure 22 in Goodfellow’s survey. An equilibrium corresponds to a $G$ and a $D$ such that the pair are still a solution if we switch the order of min and max in (1). (That is, $G$ doesn’t have incentive to switch in response to $D$, and vice versa.) Lack of equilibrium may be a cause of oscillatory behavior observed in training.
But ideally we wish to show something stronger than mere existence of equilibrium: we wish to exhibit an equilibrium where the generator wins, with the objective above at zero or close to zero (in other words, discriminator is unable to distinguish between the two distributions).
We will prove existence of an $\epsilon$-approximate equilibrium, whereby switching the order of $G, D$ affects the expression by at most $\epsilon$. (That is, $G$ has only limited incentive to switch in respnse to $D$ and vice versa.) Naively one would imagine that proving such a result involves some insight into the distribution $P_{real}$ but surprisingly none is needed.
Theorem 2 If a generator net of capacity $T$ is able to generate a Gaussian distribution in $\Re^d$, then there exists an $\epsilon$-approximate equilibrium in the game where the generator has capacity $O(n T\log n/\epsilon^2 )$.
Proof sketch: A classical result in nonparametric statistics states that $P_{real}$ can be well-approximated by an infinite mixture of standard Gaussians. Now take a sample of size $O(n\log n/\epsilon^2)$ from this infinite mixture, and let $G$ be a uniform mixture on this finite sample of Gaussians. By an argument similar to Theorem 1, the distribution output by $G$ will be indistinguishable from $P_{real}$ by every deep net of capacity $n$. Finally, fold in this mixture of $O(n\log n/\epsilon^2)$ Gaussians into a single generator by using a small “selector” circuit that selects between these with the correct probability.
This theorem only shows existence of a particular equilibrium. What a GAN may actually find in practice using backpropagation is not addressed.
Finally, if we are interested in objectives other than Wasserstein GAN, then a similar proof can show the existence of an $\epsilon$-approximate mixed equilibrium, namely, where the discriminator and generator are themselves small mixtures of deep nets.
Aside: The sampling idea in this proof goes back to Lipton and Young 1994. Similar ideas have also appeared in study of pseudorandomness (see Trevisan et al 2009) and model criticism (see Gretton et al 2012.)
MIX + GAN protocol
Our theory shows that using a mixture of (not too many) generators and discriminators guarantees existence of approximate equilibrium. This suggests that GANs training may be better and more stable we replace the simple generator and discriminator with mixtures of generators.
Of course, it is impractical to use very large mixtures, so we propose MIX + GAN: use a mixture of $k$ components, where $k$ is as large as allowed by size of GPU memory. Namely, train a mixture of $k$ generators ${G_{u_i}, i\in [k]}$ and $k$ discriminators ${D_{v_i}, i\in [k]}$). All components of the mixture share the same network architecture but have their own trainable parameters. Maintaining a mixture means of course maintaining a weight $w_{u_i}$ for the generator $G_{u_i}$ which corresponds to the probability of selecting the output of $G_{u_i}$. These weights are also updated via backpropagation. This heuristic can be combined with existing methods like DC-GAN, W-GAN etc., giving us new training methods MIX + DC-GAN, MIX + W-GAN etc.
Some other experimental details: store the mixture probabilities using logarithm and use exponentiated gradient to update. Use an entropy regularizer to prevent collapse of the mixture to single component. All of these are theoretically justified if $k$ were very large, and are only heuristic when $k$ is as small as $5$.
We show that MIX+GAN can improve performance qualitatively (i.e., the images look better) and also quantitatively using popular measures such as Inception score.
Note that using a mixture increases the capacity of the model by a factor $k$, so it may not be entirely fair to compare the performance of MIX + X with X. On the other hand, in general it is not easy to get substantial performance benefit from increasing deep net capacity (in fact obvious ways of adding capacity that we tried actually reduced performance) whereas here the benefit happens out of the box.
Note that a mixture of generators or discriminators has been used in several recent works (cited in our paper), but we are not aware of any attempts to use a trainable mixture as above.
Take-Away Lessons
Complete understanding of GANs is challenging since we cannot even fully analyse simple backpropagation, let alone backpropagation combined with game-theoretic complications.
We therefore set aside issues of algorithmic convergence and focused on generalization and equilibrium, which focus on the maximum value of the objective. Our analysis suggests the following:
(a) Current GANs training uses a finite capacity deep net to distinguish between synthetic and real distributions. This training criterion by itself seems insufficient to ensure even good diversity in the synthetic distribution, let alone that it is actually very closes to $P_{real}$. (Theorem 1) A first step to fix this would be to focus on ways to ensure higher diversity, which is a necessary step towards ensuring $P_{synth} \approx P_{real}$.
(b) Our results seem to pose a conundrum about the GANs idea which I personally have not been able to resolve. Usually, we believe that adding capacity to the generator allows it gain representation power to model more fine-grained facts about the world and thus produce more realistic and diverse distributions. The downside to adding capacity is overfitting, which can be mitigated using more training images. Thus one imagines that the ideal configuration is:
Number of training images > Generator capacity > Discriminator capacity.
Theorem 1 suggests that if discriminator has capacity $n$ then it seems to derive very little benefit (at least in terms of the training objective) from a training set of more than $C (n\log n)/\epsilon^2$ images. Furthermore, there exist equilibria where the generator’s distribution is not too diverse.
So how can we change GANs training so that it ensures $P_{synth}$ having high diversity? Some possibilities are (a) cap the generator capacity to be much below discriminator capacity. This might work but I don’t see a mathematical reason why. It certainly flies against the usual intuition that —so long as training dataset is large enough—more capacity allows generators to produce more realistic images. (b) high diversity results from some as-yet unknown property of back propagation algorithm (c) Change GANs setup in some other way.
At the very least our paper suggests that an explanation for good performance in GANs must draw upon some delicate interplay of the power of generator vs discriminator and the backpropagation algorithm. This fact was overlooked in previous analyses which assumed discriminators of infinite capacity.
(I thank Moritz Hardt, Kunal Talwar, and Luca Trevisan for their comments and help with references.)


{% extends "layout.html" %} {% set active_page = 'contact' %} {% block title %}Contact{% endblock %} {% block body %}
Hi, I'm pajlada! I'm the current maintainer and developer of Snusbot.
Snusbot is running on the Tyggbot source, which is coded in Python.
Got any questions or comments about the bot or the website? Let me know by sending me a twitch message!


data class SavedState : BaseSavedState, Parcelable
SavedState(parcelable: Parcelable, cameraMode: Int, outputFormat: Int, facing: Int, ratio: AspectRatio, autoFocus: Boolean, touchToFocus: Boolean, awb: Int, flash: Int, opticalStabilization: Boolean, noiseReduction: Int, shutter: Int, zsl: Boolean) |
val autoFocus: Boolean |
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val awb: Int |
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val cameraMode: Int |
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val facing: Int |
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val flash: Int |
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val noiseReduction: Int |
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val opticalStabilization: Boolean |
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val outputFormat: Int |
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val parcelable: Parcelable |
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val ratio: AspectRatio |
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val shutter: Int |
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val touchToFocus: Boolean |
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val zsl: Boolean |


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Welcome
I'm Kate Berry and this is my Free Code Camp Oxford Profile Page
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Made for Creators: ACER ConceptD Desktops, Notebooks and Monitors Available in Australia
by Neerav BhattAusdroid readers are familiar with Acer’s range of Chromebooks but perhaps not as much with their Windows powered computer range.
Acer just announced that Australian creators including graphic designers, engineers, filmmakers, architects, developers and beyond will be able to purchase ConceptD desktops, notebooks, and monitors within weeks.
The ConceptD range comprises of high-performance devices that are optimised for the creative industries, giving users the colour accuracy, high performance, memory space and refresh rates they need to embrace the creative process and build remarkable things.
They are also equipped with efficient thermal solutions to minimise noise, and have a design aesthetic that isn’t “boring” like a standard workstation.
As an example the flagship ConceptD 500 workstation has optimal thermal, ventilation, airflow dynamics and is cooled using three cooling fans to draw the air in through the triangular front air panel and circulating it throughout the chassis. And yet, at just 40dB it is still quiet enough to be unobtrusive.
“Bringing ConceptD to Australia is an exciting milestone for Acer … we saw a clear opportunity to expand our offering with a range tailor-made for creators and their unique needs,” said Darren Simmons, Managing Director, Oceania, Acer.
As ConceptD devices are equipped with high-performance processors and graphics that can handle extreme workloads, they are designed to enable creators to bring their ideas to life more effectively and further drive these outcomes.
Professional design work requires professional tools, and the ConceptD laptops and monitors feature a pixel-packed 4K UHD display backed up by several colour technologies.
They also feature integrated colour correction and have demonstrated superior fidelity in reproducing the PANTONE Matching System (PMS) Colours.
With a 100% Adobe RGB colour gamut, colours will be brighter and more accurate due to extending the colour range of cyan-green hues.
The Adobe RGB gamut covers a wider range of colours than an sRGB gamut. The ConceptD range of products has been tested and calibrated to achieve a low Delta E average of <1 to <2 to reproduce true-to-life colour accuracy
Equipped with NVIDIA GeForce RTX graphics cards, the ConceptD devices are bringing real-time ray tracing and AI to the applications creators use for designing digital assets.
Breakthrough GPU technologies combined with the new NVIDIA RTX architecture allow creators to work at the speed of their imagination—creating and refining realistic and immersive experiences much faster than with CPUs.
The ConceptD range (ConceptD 7 and 9 notebooks, Concept CP3 and CP7 monitors and the ConceptD 500 desktop will be fully available in Australia in early 2020.


ANIMESH KUZUR
RECEIPT ISSUED BY Riverside Utility Pvt. Ltd. FRANCHISE OF CESU
For any clarification call 24x7<PHONE_NUMBER> or 0674 301 4444


| Rank | Dataset | Breakdown | Location (URL) | Format | Info | Prev. (2014) | Score |
|---|---|---|---|---|---|---|---|
| 39 | Election Results |
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http://www.overheid.aw/bestuur... | n/a | n/a | 55% | |
|
URL: http://www.overheid.aw/bestuur-organisatie/verkiezingen_41139/ The results of elections in Aruba are available in a tabular format on the Government of Aruba's website for the years 2013, 2009 and 2005. |
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| 28 | Weather forecast |
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http://www.meteo.aw/marckforec... | n/a | n/a | n/a | 45% |
| 39 | Legislation |
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http://www.overheid.aw/bestuur... | n/a | n/a | 45% | |
|
URL: http://www.overheid.aw/bestuur-organisatie/landsverordeningen-wetten_3439/ In Aruba a law is called an ordinance. An ordinance is a generally binding regulations containing decision jointly by the Government and the States taken by a procedure as described in the Constitution of Aruba. These ordinances are made available to the public via PDF files. Copyright -" There exists regarding the contents of this website, subject to the legislation, no freedom of takeover; All copyrights, including those referred to in art. 1 of the Copyright Act (AB 2003 no. GT10) are reserved. This website is otherwise Aruban law" Date of update is unknown. |
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| 47 | Company Register |
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n/a | n/a | n/a | 25% | |
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The Aruba Chamber of Commerce and Industry allows users to purchase information on all businesses registered with them, for a fee. (http://www.kvk.aw/products) An order can be placed with<EMAIL_ADDRESS>The Chamber also offers a free online company registry search (http://www.kvk.aw/registers), which requires inputting the branch or KvK number of a company in order to find data. The search results show the company's name, trade name, address, KvK number, branch and a Google map showing the company's location. |
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| 112 | Government Budget |
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n/a | n/a | n/a | 5% | |
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The Ministry of Finance, Communication, Utilities and Energy of Aruba provides yearly insight into the financial affairs of the country by making the actual and budgeted financial statements of each Ministry and department of Government available online for download in PDF format via the Government of Aruba's website. The latest publication provided was for the year 2011 and is accessible via the following link : Annual Country Statements Aruba 2011 http://www.overheid.aw/actueel/rapporten-en-documenten_43353/ |
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| 74 | Water Quality |
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n/a | n/a | n/a | 0% | |
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it is uncertain if water quality data in Aruba exists. |
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| 106 | National Statistics |
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http://www.overheid.aw/actueel... | n/a | n/a | 0% | |
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URL: http://www.overheid.aw/actueel/rapporten-en-documenten_43353/ National Statistical Yearbook available for 2012 but it has limited data on GDP, Unemployment, and Population. |
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| 99 | Government Spending |
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n/a | n/a | n/a | 0% | |
|
The Ministry of Finance, Communication, Utilities and Energy of Aruba provides yearly insight into the financial affairs of the country by making the actual and budgeted financial statements of each Ministry and department of Government available online for download in PDF format via the Government of Aruba's website. The latest publication provided was for the year 2011 and is accessible as Jaarrekening Land Aruba 2011.pdf (Annual Country Statements Aruba 2011). However, this is is aggregated data, not transactional data, and obviously old. Given that the government does not seem to publish aggregated data for recent years, the transactional spending data must be marked as non-existing. |
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| 96 | Procurement tenders |
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n/a | n/a | n/a | 0% | |
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Public tenders are available on the Aruba government website. However, awards are not made online. |
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| 61 | Location datasets |
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n/a | n/a | n/a | 0% | |
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postcodes/zipcodes not found |
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| 94 | National Map |
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n/a | n/a | n/a | 0% | |
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It is uncertain if the data exists |
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| 85 | Land Ownership |
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n/a | n/a | n/a | 0% | |
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It is uncertain if data for land ownership in Aruba exists. |
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| 79 | Pollutant Emissions |
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n/a | n/a | n/a | 0% | |
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Could not find air quality data for Aruba |
Contributors
Reviewers
- Georg Neumann
- Gil Zaretzer
- Kamil Gregor
- Tryggvi Björgvinsson
- Mor Rubinstein
- Zach Christensen
- Nisha Thompson
- Rebecca Sentance
- Neal Bastek
- Codrina Maria Ilie
Submitters
- Mor Rubinstein
- Bruce Hoo Fung
- Kimberly Soares


How to install KISS IDE on a MAC
Step 1
First you will need to install the command line tools for your version of OS X. This may have come pre-installed on your Mac. If not, it is available from the OS X install disk or Apple as a free download (registration required). Access requires registration and anyone can join at no cost by filling out the form at https://developer.apple.com/programs/register/.Step 2
OS X 10.8 and 10.9 users will need to disable GateKeeper to allow the KIPR software to install.Gatekeeper is a new feature in Mountain Lion, OS X Lion v10.7.5, and Mavericks OS X 10.9 that builds on OS X's existing malware checks to help protect your Mac from malware and misbehaving apps downloaded from the Internet.
Gatekeeper options
Gatekeeper gives you more control over what you install. You can choose the safest option and only allow apps that come from the Mac App Store to open. There is also the option of only allowing apps that come from the Mac App Store and identified developers. Or you can choose to allow any apps to open, just like previous versions of OS X.
Gatekeeper options are found in Apple menu > System Preferences… > Security & Privacy > General tab under the header "Allow applications downloaded from:"
Please set the option to "Anywhere" as shown above. Note: The lock icon in the bottom left must be unlocked for this change to happen. If it is locked, click on it and enter your password, then change the selection to "Anywhere".


LFort Related Projects
As LFort matures, more and more projects are being built atop the LFort libraries and other open source projects are starting their own LFort related subprojects, like building their source code with LFort or writing custom analysis tools using LFort. This page tracks some of those LFort related projects.
Please email cfe-dev if you have a LFort related project you would like added to this list.
- FreeBSD LFort Page
-
Site: http://wiki.freebsd.org/BuildingFreeBSDWithLFort
This is an effort to get FreeBSD to build with lfort/llvm. LFort is a compiler built on the Low Level Virtual Machine compiler infrastructure. Both lfort and llvm are released under a BSD like license.
- Chromium LFort Page
-
Site: http://code.google.com/p/chromium/wiki/LFort
Notes on using LFort to build the Chromium web browser.


| Description |
1 pass card ; 4 in. x 6 in. |
| Series (Lc) |
Check out San Francisco family pass
|
| Note |
Visit San Francisco attractions for free with the Check out San Francisco family pass, available to library cardholders who are San Francisco residents with children 18 years old or younger. Each pass provides one-time free admission to one participating city museum or attraction for a family of up to two adults plus up to four children. The pass may be checked out at any San Francisco Public Library location and is valid for one week. |
|
Procedure: The names of the attractions participating in the Check out San Francisco family pass program are listed in the Library's online catalog and are on display at each library. Passes cannot be reserved but are available on a first come, first served basis. Each library is able to offer one pass to each participating attraction each week. At checkout, the cardholder receives a paper receipt (pass) indicating the name of the attraction and the expiration date of the pass, which is one week from checkout. The cardholder will also be given a Check out San Francisco guide including the hours and contact information of the attractions. The paper receipt (pass) will be collected at the attraction. |
|


import warnings
warnings.filterwarnings('ignore')
from large_scale_predictors_functions import *
#put your path
path = r'D:\\forecast_book\\large_scale_predictor_data\\'
#geopandas as background map
coasts_low=geopandas.read_file(path+'GSHHS_shp\\h\\GSHHS_h_L1.shp')[['geometry']]
gdf_l=shift_map(coasts_low,180)
2. Large Scale Predictors¶
2.1. Madden - Julian Oscillation (MJO) ¶
The MJO is an eastward moving disturbance of clouds, rainfall, winds, and pressure that crosses the planet in the tropics and returns to its initial starting point in cycles of approximately 30 or 60 days. It is the dominant mode of atmospheric intraseasonal variability in the tropics \(\href{https://journals.ametsoc.org/view/journals/wefo/18/4/1520-0434_2003_018_0600_tiotmo_2_0_co_2.xml}{\text{(Hendon & Salby, 1994)}}\):
The MJO consists of two phases: the enhanced rainfall and the the suppressed rainfall. They produce opposite changes in clouds and rainfall and this entire dipole propagates eastward. Strongest MJO activity often divides the planet into halves: one half within the enhanced convective phase and the other half in the suppressed convective phase.
The MJO phases can be observed and represented through the RMM index, which is a combined cloudiness- and circulation-based index that has been frequently used for real-time prediction and definition of the MJO \(\href{https://journals.ametsoc.org/view/journals/mwre/132/8/1520-0493_2004_132_1917_aarmmi_2.0.co_2.xml}{\text{(Wheeler & Hendon, 2004)}}\):
2.2. Annual Weather type (AWT) ¶
ENSO is one of the most important climate phenomena on Earth due to its ability to change the global atmospheric circulation; since it can lead to changes in sea-level pressures, sea-surface temperatures, precipitation and winds across the globe. ENSO describes the natural interannual variations in the ocean and atmosphere in the tropical Pacific. This interaction between the atmosphere and ocean is the source of a periodic variation between below-normal and above-normal sea surface temperatures and dry and wet conditions along the years. The tropical ocean affects the atmosphere above it and the atmosphere influences the ocean below it.
Typical behavior of the couple system of ocean and atmosphere during El Niño in the equatorial Pacific \(\href{http://www.bom.gov.au/watl/about-weather-and-climate/australian-climate-influences.shtml?bookmark=enso}{\text{(Australian Bureau of Meteorology)}}\):
Patterns \(\href{https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JC015312}{\text{(Anderson,et al.,2019)}}\)
2.3. MJO and AWT relationship with TC genesis ¶
TCs tracks transferred to MJO+AWT combinations according to the genesis point, with the combination probability as the background color
fig_tcs = plot_tcs_mjo_awt(path, gdf_l)
TCs tracks reaching category 3 or greater transferred to MJO+AWT combinations according to the genesis point, with the combination probability as the background color
tcs3_mjo_awt = plot_tcs3_mjo_awt(path,gdf_l)
Density histogram of TC genesis according to AWT
Daily mean precipitation (TRMM) transferred to MJO+AWT combinations
path = 'D:\\forecast_book\\large_scale_predictor_data\\'
fig_trmm = plot_trmm(path,gdf_l)
Daily mean precipitation (TRMM) anomalies transferred to MJO+AWT combinations
fig_anom_trmm = plot_anom_trmm(path,gdf_l)
Conclusions:
MJO phases 6,7 and 8 and AWT 1 and 3 show the highest TC genesis activity.
The combination MJO phase 7 + AWT 4 is the most intense one for all TC categories and when filtering from category 2.
El Niño, which is highly unlikely has fewer TC genesis but it is the most active in TCs genesis with respect of its total days and a greater proportion of TCs reaching at least category 2.
AWT 2 is the least probable and is the one with least TCs genesis activity.
AWT 1 have same TCs genesis along all MJO phases.
TCs genesis occurs generally in areas of intense precipitation, above the mean (positive anomalies) and the higher categories of TC are linked with the most extended and amongst the most intense precipitation clouds.


Website Update
Posted: Fri Aug 15, 2008 8:02 am
Morning guys and gals. Just doing my morning check in to see what's new and i started thinking when the PV website popped up. There hasn't been a news update since January and I thought it might be a good idea to maybe post something there to the effect that Alpha is coming up and any new info will be added to the Wiki or something like that. I know Karl must be swamped with pv and work and stuff but for someone just coming to the site it looks like nothing is going on. I know most would say they just need to hit the forums to see activity but your average interenet user isn't all that bright lol. Just an idea. Im getting really excited about PV!~


Visualize the distribution of the simulation-based inferential statistics or the theoretical distribution (or both!).
Learn more in vignette("infer")
.
visualize(data, bins = 15, method = "simulation", dens_color = "black", ...)
visualise(data, bins = 15, method = "simulation", dens_color = "black", ...)
| data | A distribution. For simulation-based inference, a data frame
containing a distribution of |
|---|---|
| bins | The number of bins in the histogram. |
| method | A string giving the method to display. Options are
|
| dens_color | A character or hex string specifying the color of the theoretical density curve. |
| ... | Other arguments passed along to \ggplot2\ functions. |
For calculate()
-based workflows, a ggplot showing the simulation-based
distribution as a histogram or bar graph. Can also be used to display
theoretical distributions.
For assume()
-based workflows, a ggplot showing the theoretical distribution.
For fit()
-based workflows, a patchwork
object
showing the simulation-based distributions as a histogram or bar graph.
The interface to adjust plot options and themes is a bit different
for patchwork
plots than ggplot2 plots. The examples highlight the
biggest differences here, but see patchwork::plot_annotation()
and
patchwork::&.gg for more details.
In order to make the visualization workflow more straightforward
and explicit, visualize()
now only should be used to plot distributions
of statistics directly. A number of arguments related to shading p-values and
confidence intervals are now deprecated in visualize()
and should
now be passed to shade_p_value()
and shade_confidence_interval()
,
respectively. visualize()
will raise a warning if deprecated arguments
are supplied.
# generate a null distribution
null_dist <- gss %>%
# we're interested in the number of hours worked per week
specify(response = hours) %>%
# hypothesizing that the mean is 40
hypothesize(null = "point", mu = 40) %>%
# generating data points for a null distribution
generate(reps = 1000, type = "bootstrap") %>%
# calculating a distribution of means
calculate(stat = "mean")
# or a bootstrap distribution, omitting the hypothesize() step,
# for use in confidence intervals
boot_dist <- gss %>%
specify(response = hours) %>%
generate(reps = 1000, type = "bootstrap") %>%
calculate(stat = "mean")
# we can easily plot the null distribution by piping into visualize
null_dist %>%
visualize()
# we can add layers to the plot as in ggplot, as well...
# find the point estimate---mean number of hours worked per week
point_estimate <- gss %>%
specify(response = hours) %>%
calculate(stat = "mean")
# find a confidence interval around the point estimate
ci <- boot_dist %>%
get_confidence_interval(point_estimate = point_estimate,
# at the 95% confidence level
level = .95,
# using the standard error method
type = "se")
# display a shading of the area beyond the p-value on the plot
null_dist %>%
visualize() +
shade_p_value(obs_stat = point_estimate, direction = "two-sided")
# ...or within the bounds of the confidence interval
null_dist %>%
visualize() +
shade_confidence_interval(ci)
# plot a theoretical sampling distribution by creating
# a theory-based distribution with `assume()`
sampling_dist <- gss %>%
specify(response = hours) %>%
assume(distribution = "t")
visualize(sampling_dist)
# you can shade confidence intervals on top of
# theoretical distributions, too---the theoretical
# distribution will be recentered and rescaled to
# align with the confidence interval
visualize(sampling_dist) +
shade_confidence_interval(ci)
# to plot both a theory-based and simulation-based null distribution,
# use a theorized statistic (i.e. one of t, z, F, or Chisq)
# and supply the simulation-based null distribution
null_dist_t <- gss %>%
specify(response = hours) %>%
hypothesize(null = "point", mu = 40) %>%
generate(reps = 1000, type = "bootstrap") %>%
calculate(stat = "t")
obs_stat <- gss %>%
specify(response = hours) %>%
hypothesize(null = "point", mu = 40) %>%
calculate(stat = "t")
visualize(null_dist_t, method = "both")
#> Warning: Check to make sure the conditions have been met for the theoretical method. {infer} currently does not check these for you.
visualize(null_dist_t, method = "both") +
shade_p_value(obs_stat, "both")
#> Warning: Check to make sure the conditions have been met for the theoretical method. {infer} currently does not check these for you.
# \donttest{
# to visualize distributions of coefficients for multiple
# explanatory variables, use a `fit()`-based workflow
# fit 1000 models with the `hours` variable permuted
null_fits <- gss %>%
specify(hours ~ age + college) %>%
hypothesize(null = "independence") %>%
generate(reps = 1000, type = "permute") %>%
fit()
null_fits
#> # A tibble: 3,000 × 3
#> # Groups: replicate [1,000]
#> replicate term estimate
#> <int> <chr> <dbl>
#> 1 1 intercept 44.1
#> 2 1 age -0.0607
#> 3 1 collegedegree -0.899
#> 4 2 intercept 40.4
#> 5 2 age 0.0149
#> 6 2 collegedegree 1.21
#> 7 3 intercept 40.6
#> 8 3 age 0.0327
#> 9 3 collegedegree -1.44
#> 10 4 intercept 40.0
#> # … with 2,990 more rows
# visualize distributions of resulting coefficients
visualize(null_fits)
# the interface to add themes and other elements to patchwork
# plots (outputted by `visualize` when the inputted data
# is from the `fit()` function) is a bit different than adding
# them to ggplot2 plots.
library(ggplot2)
# to add a ggplot2 theme to a `calculate()`-based visualization, use `+`
null_dist %>% visualize() + theme_dark()
# to add a ggplot2 theme to a `fit()`-based visualization, use `&`
null_fits %>% visualize() & theme_dark()
# }
# More in-depth explanation of how to use the infer package
if (FALSE) {
vignette("infer")
}


UITheme
class UITheme
Represents a set of default styles and component presets.
Constructor
(): UITheme
.current static
UITheme
The current theme. This value may be changed but it is not observed, use Application.renderContext
to re-render UI components after changing the theme. Use clone()
to initialize a new theme instance.
.getStyle() static
(name: string, mixin?: string):
UIStyle
Returns a UIStyle
instance consisting of given named style(s), combined using UIStyle.mixin
(...)
.
.getTextColor() static
(bg: string |
UIColor
): string
Returns a suitable text color for given background color (mostly black, or mostly white).
.isBrightColor() static
(color: string |
UIColor
): boolean
Returns true if the pseudo-luminance of given color (in hex format #112233
or #123
or rgb(a) format rgb(255, 255, 255)
or hsl format hsl(255, 0%, 0%)
) is greater than 55%; can be used e.g. to decide on a contrasting text color for a given background color.
.mixColors() static
(color1: string |
UIColor
, color2: string |
UIColor
, p: number): string
Returns a color in rgb(a) format (e.g. rgb(40,60,255)
rgba(40,60,255,.5)
) that lies between given colors (in hex format #112233
or #123
or rgb(a) format rgb(255, 255, 255)
) at given point (0-1, with 0 being the same as the first color, 1 being the same as the second color, and 0.5 being an equal mix).
.replaceColor() static
(color: string |
UIColor
): string
Replace color variables in given string with colors from UITheme.colors
.
@green
is substituted with the colorgreen
defined inUITheme.colors
@green-20%
takes the colorgreen
and darkens by 20%@green+20%
takes the colorgreen
and lightens by 20%@green^-20%
takes the colorgreen
and darkens light colors, lightens dark colors by 20%@green^+20%
takes the colorgreen
and lightens light colors, darkens dark colors by 20%@green/80%
takes the colorgreen
and makes it 20% (more<EMAIL_ADDRESS>is substituted with a contrasting text color (mostly-opaque white or black) that is readable on the colorgreen
.
.clone()
(): UITheme
Create a new theme with the same properties, colors, icons, and styles (i.e. a ‘deep’ copy).
.modalDialogShadeOpacity
number
Dialog backdrop shader opacity (for DialogViewActivity
), defaults to 0.3.
.spacing
string | number
Default spacing between components in rows and columns, defaults to 8.
.ConfirmationDialogBuilder
new () =>
ConfirmationDialogBuilder
Default confirmation/alert dialog builder used by ViewActivity.showConfirmationDialogAsync
.
.MenuBuilder
new () =>
UIMenuBuilder
Default platform dependent menu builder.
.colors
{ [name: string]: string; }
Set of predefined colors.
.icons
{ [name: string]: string; }
Named icons that can be used on labels or buttons.
.styles
{ [name: string]:
UIStyle
; }
Set of named style mixins that can be applied to a UI component. These include default styles such as ‘control’, ‘container’, ‘button’, ‘textfield’, etc., but may also include custom styles so that they can be referenced by name.
.setStyle()
(name: string,
styles
: Partial<StyleObjects>):
UIStyle
Add or extend a named style in styles
with given style set; returns the new UIStyle
instance.


Posted on September 7, 2015
Communication and Harmony
Posted on September 7, 2015
This morning at our worship service, the theme for my message was communication and harmony, both with our work for the Lord and also with each other. The scripture for the message was Philippians 4:1-9. Paul mentions how the two women, in the scripture, struggled beside him in the work of the gospel. Paul communicated from his prison cell the work of the Lord. He stood firm in that work, knowing it had to be done in harmony in order for the work to be successful. Communication and harmony are keys in all we plan and do to reach our goals. The American Legion Auxiliary is no exception to using these for our own work. We have many goals that have been set, goals that are necessary in our organization if we are to successfully support our Veterans. Lack of communication and lack of harmony break down the process we go through to reach the goals we set. Relationships become broken; anger and hurt feelings come into play and slow down the process and in some cases stop the process all together. Think of where we would be today if our Veterans did not communicate well with those around them during their time in the service. Where would we be if they could not work together in harmony? Our Veterans knew that in order to win the war there had to be good communication and they had to work well together in harmony. As we go through this ALA year, no matter what position we hold in the ALA, keep good communications as one of our goals and always work in harmony with our ALA sisters. Our goal is not for self; our goal is for our Veterans. For God and Country,
Follow us on Facebook and join our Facebook group here!
Send mail to<EMAIL_ADDRESS>with questions or comments about this web site.


Six of Crows
Details
Judul : Six of Crows Author : Leigh Bardugo Tahun : 2015 ISBN :<PHONE_NUMBER>098 Lokasi : B1 Stok : 100
Sinopsis
Ketterdam: a bustling hub of international trade where anything can be had for the right price—and no one knows that better than criminal prodigy Kaz Brekker. Kaz is offered a chance at a deadly heist that could make him rich beyond his wildest dreams.


--- layout: default title: Main ---
Unofficial discussion group for readers of Dr Napoleon's publications.
Discussion is hosted by Disqus, you may log in with your Twitter account. Members shall use their real names.
Choose a topic from the site index or propose a new topic at general discussion. Topics shall indicate which of Dr Napoleon's works introduce the concept and readers should be familiar with the entirety of that book/white paper before commenting.
It may be worthwhile to choose a title to re-read as a group, with a weekly discussion on each chapter. Indicate interest in the general discussion.


Shivaay
Shivaay is a well-known mountain climber/guide in Himalayas. On one of his adventure he meets Olga and both fall in love. Soon they discover that Olga is pregnant but she doesn't want the child. But Shivaay convinces her to give birth to the baby, Olga leaves the country after giving birth to his baby without even seeing her. 9 years later Shivaay's daughter Gaura finds that her mother is still alive and lives in Bulgaria. Gaura hates Shivaay for hiding the truth about her mother and insists on meeting her.....
watch now


Thank you, thank you, thank you so much!
You seeing this page, now, means you have converted the targeted goal.


git-reflog - Manage reflog information
git reflog <subcommand> <options>
The command takes various subcommands, and different options depending on the subcommand:
git reflog expire [--dry-run] [--stale-fix] [--verbose] [--expire=<time>] [--expire-unreachable=<time>] [--all] <refs>... git reflog delete<EMAIL_ADDRESS>git reflog [show] [log-options] [<ref>]
Reflog is a mechanism to record when the tip of branches are updated. This command is to manage the information recorded in it.
The subcommand "expire" is used to prune older reflog entries. Entries older than expire time, or entries older than expire-unreachable time and not reachable from the current tip, are removed from the reflog. This is typically not used directly by the end users (em instead, see git-gc(1).
The subcommand "show" (which is also the default, in the absence of any subcommands) will take all the normal log options, and show the log of the reference provided in the command-line (or HEAD, by default). The reflog will cover all recent actions (HEAD reflog records branch switching as well). It is an alias for git log -g --abbrev-commit --pretty=oneline; see git-log(1).
The reflog is useful in various Git commands, to specify the old value of a reference. For example, HEAD@{2} means "where HEAD used to be two moves ago"<EMAIL_ADDRESS>means "where master used to point to one week ago", and so on. See gitrevisions(7) for more details.
To delete single entries from the reflog, use the subcommand "delete" and specify the exact entry (e.g. "git reflog delete master@{2}").
--stale-fix
This revamps the logic (em the definition of "broken commit" becomes: a commit that is not reachable from any of the refs and there is a missing object among the commit, tree, or blob objects reachable from it that is not reachable from any of the refs.
This computation involves traversing all the reachable objects, i.e. it has the same cost as git prune. Fortunately, once this is run, we should not have to ever worry about missing objects, because the current prune and pack-objects know about reflogs and protect objects referred by them.
--expire=<time>
Entries older than this time are pruned. Without the option it is taken from configuration gc.reflogExpire, which in turn defaults to 90 days. --expire=all prunes entries regardless of their age; --expire=never turns off pruning of reachable entries (but see --expire-unreachable).
--expire-unreachable=<time>
Entries older than this time and not reachable from the current tip of the branch are pruned. Without the option it is taken from configuration gc.reflogExpireUnreachable, which in turn defaults to 30 days. --expire-unreachable=all prunes unreachable entries regardless of their age; --expire-unreachable=never turns off early pruning of unreachable entries (but see --expire).
--all
Instead of listing <refs> explicitly, prune all refs.
--updateref
Update the ref with the sha1 of the top reflog entry (i.e. <ref>@{0}) after expiring or deleting.
--rewrite
While expiring or deleting, adjust each reflog entry to ensure that the old sha1 field points to the new sha1 field of the previous entry.
--verbose
Print extra information on screen.
Part of the git(1) suite


The Search API allows you to perform the same search that is available within Trello at the top of the window. This means that you can use modifiers such as edited:day within the query to modify the results you get back. For more information on modifiers, click "Learn More" within the Trello search popup.
Certain types of modifiers will restrict the types of objects that are returned with your search. One example of this is the edited modifier which will meant that your search will only contain Cards.
query
(required)1
to 16384
idBoards
(optional)mine
idOrganizations
(optional)idCards
(optional)modelTypes
(optional)all
all
or a comma-separated list of:actions
boards
cards
members
organizations
board_fields
(optional)name,idOrganization
all
or a comma-separated list of:closed
dateLastActivity
dateLastView
desc
descData
idOrganization
invitations
invited
labelNames
memberships
name
pinned
powerUps
prefs
shortLink
shortUrl
starred
subscribed
url
boards_limit
(optional)10
1
to 1000
card_fields
(optional)all
all
or a comma-separated list of:badges
checkItemStates
closed
dateLastActivity
desc
descData
due
email
idAttachmentCover
idBoard
idChecklists
idLabels
idList
idMembers
idMembersVoted
idShort
labels
manualCoverAttachment
name
pos
shortLink
shortUrl
subscribed
url
cards_limit
(optional)10
1
to 1000
cards_page
(optional)0
0
to 100
card_board
(optional)false
true
false
card_list
(optional)false
true
false
card_members
(optional)false
true
false
card_stickers
(optional)false
true
false
card_attachments
(optional)false
organization_fields
(optional)name,displayName
all
or a comma-separated list of:billableMemberCount
desc
descData
displayName
idBoards
invitations
invited
logoHash
memberships
name
powerUps
prefs
premiumFeatures
products
url
website
organizations_limit
(optional)10
1
to 1000
member_fields
(optional)avatarHash,fullName,initials,username,confirmed
all
or a comma-separated list of:avatarHash
bio
bioData
confirmed
fullName
idPremOrgsAdmin
initials
memberType
products
status
url
username
members_limit
(optional)10
1
to 1000
partial
(optional)
By default, Trello searches for each word in your query against exactly matching words within Member content. Specifying partial to be true means that we will look for content that starts with any of the words in your query.
If you are looking for a Card titled "My Development Status Report", by default you would need to search for "Development". If you have partial enabled, you will be able to search for "dev" but not "velopment".
false
true
false
query
(required)1
to 16384
limit
(optional)8
1
to 20
idBoard
(optional)null
idOrganization
(optional)null
onlyOrgMembers
(optional)false


CENTRAL LIBRARY APPLICATION FOR MEMBERSHIP
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--- layout: post title: jacques ferrand leather bike arkitip intel date: '2009-03-27T18:11:58+00:00' tags: [] tumblr_url: http://backlog.robbevan.com/post/90405875/jacques-ferrand-leather-bike-arkitip-intel ---
Jacques Ferrand Leather Bike | Arkitip Intel


B’ball: Criticisms trail Saraki’s NBA tweet
by Sodiq OyelekeSodiq Oyeleke
Criticisms have trailed former Senate President Bukola Saraki’s hope of Nigeria hosting NBA games.
Saraki had on Wednesday posted a picture of himself watching an NBA game involving the Lakers.
In the accomplishing tweet, the ex-Governor of Kwara State wished that Nigeria could host a global basketball tournament.
He tweeted, “In LA watching @KingJames play for @Lakers. Energy in the Arena is unmatched. In 2018 an exhibition NBA game was played in Pretoria, South Africa.
“I’m hoping in the near future, Nigeria will host NBA games in a bid to grow the sport further in Nigeria. I am determined to see us achieve this.”
While some of his followers hailed his determination, others queried what role he played to ensure the country hosted such high-profile games, when he was in power.
One of them, who identified himself simply as Wale, said, “You should think of funding or founding a Nigerian basketball team. I like what you’ve done with ABS in the soccer scene. I’ve seen people really passionate about basketball in Nigeria. Basketball could be a big deal in Nigeria with proper funding and management.”
Another Twitter user, Kazeem Bello, added, “For your eight years as the Governor of Kwara and another eight in the Senate, did you take time to watch any sporting events at the Kwara Stadium? The place doesn’t befit you!”
Thor Roland clarified that “Nigeria can host basketball tournaments but not the NBA. The NBA is a North American league, a league that hosts American and Canadian teams. Hence, Nigeria cannot host it.”
“Can you say with good conscience that such game could be held in the Kwara State you left behind? I have watched GS & Charlotte Hornets in 2016, one thing I noticed on entering the stadium was the work force that was operational in that stadium. My next thought was how wicked our politicians are,” Okwudilichukwu added.
CopyrightPUNCH.
All rights reserved. This material, and other digital content on this website, may not be reproduced, published, broadcast, rewritten or redistributed in whole or in part without prior express written permission from PUNCH.
Contact: editor@punchng.com


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If your data set is quantitative continuous, you can still create a frequency table, but you need to sort the data into ranges. If you don't, most of your data values will have very low frequencies, and you'll have a ton of different values to graph. A bar graph which displays quantitative continuous data with that data sorted into ranges is called a histogram.
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Map
Hello! The world map is the main component of our visualization. It's a heatmap that shows the amount of conflicts faced by a country, or the amount of alliances each country has formed since 1500. As the colors get darker the number of conflicts and alliances get larger. You can also select a country to know who it has faced and allied with the most. Have I told you you can hover over the countries to know more info!?
Bar Graph
The bar graph ranks the countries based on how many conflicts and alliances they had. When a country is selected, it shows a ranking based on the amount of countries the selected country has faced or allied with.
Time Series
The time series, positioned at the bottom of the screen, shows how many wars ocurred over the last 500 years (518 to be precise)! By the way, when you select a country on the map, the amount of wars that country has participated in is also shown in the time series. Be aware of the legend! It will show what country is currently selected.
How does this visualization let me interact with it?
-
Conflicts and Alliances buttons: it lets you alternate between
the context of the data (Conflicts - Alliances).
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You can select a country you wanna see specific info about.
-
You can hover over the elements (countries, bars, dots) to
get more info.
Map:
- You can zoom in and out of the map.
- You can drag the map around.
- Reset button: it lets you reset the zoom and the position to default.
Time Series:
- Filter button: it lets you choose a specific period of time represented by the time series.


By John Gruber
Doxie: give the gift of paperless with Amazon promo code ‘FIREBALL’ for 35% off.
Interesting thread on Twitter examining the accessibility of Apple Park Visitor Center. With architecture as with software, what’s good design for those with accessibility needs is almost always good design for everyone else, too.
★ Monday, 26 February 2018
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NAME
zip_file_set_encryption —
set
encryption method for file in zip
LIBRARY
libzip (-lzip)
SYNOPSIS
#include <zip.h>
int
zip_file_set_encryption(
zip_t
*archive,
zip_uint64_t
index,
zip_uint16_t
method,
const char
*password);
DESCRIPTION
The
zip_file_set_encryption() function sets the encryption
method for the file at position
index in the zip archive
to
method using the password
password. The
method is the same
as returned by
zip_stat(3). For the
method argument, currently only the following values are
supported:
-
-
ZIP_EM_NONE
- No encryption.
-
-
ZIP_EM_AES_128
- Winzip AES-128 encryption.
-
-
ZIP_EM_AES_192
- Winzip AES-192 encryption.
-
-
ZIP_EM_AES_256
- Winzip AES-256 encryption.
If
password is
NULL
, the default
password provided by
zip_set_default_password(3)
is used.
The current encryption method for a file in a zip archive can be determined
using
zip_stat(3).
RETURN VALUES
Upon successful completion 0 is returned. Otherwise, -1 is returned and the
error information in
archive is set to indicate the
error.
ERRORS
zip_file_set_encryption() fails if:
-
-
- [
ZIP_ER_ENCRNOTSUPP
]
- Unsupported compression method requested.
-
-
- [
ZIP_ER_INVAL
]
- index is not a valid file index in
archive, or the argument combination is
invalid.
-
-
- [
ZIP_ER_MEMORY
]
- Required memory could not be allocated.
-
-
- [
ZIP_ER_RDONLY
]
- Read-only zip file, no changes allowed.
SEE ALSO
libzip(3),
zip_set_default_password(3),
zip_stat(3)
HISTORY
zip_file_set_encryption() was added in libzip 1.2.0.
AUTHORS
Dieter Baron
<
<EMAIL_ADDRESS>and
Thomas Klausner
<
tk@giga.or.at>


Bayelsa/Kogi: Election is not war, Atiku tells politicians
by Success NwoguSuccess Nwogu
Former Vice-President Atiku Abubakar has urged the candidates in the November 16 elections in Kogi and Bayelsa states to avoid violence.
He said in a statement from his media office that election is not war; urging the people of Bayelsa and Kogi states to take serious interest in the choices they make on Saturday.
“Election is about the people and not a war against the people,” Atiku said.
He also enjoined the electorate to make their choices wisely by electing capable hands to steer the affairs of the two states.
SEE ALSO: COZA rape saga: Fatoyinbo’s case not over —Police
He particularly urgeg members of the Peoples Democratic Party to use the power of their overwhelming strength in those two states in ensuring that its flag remains standing in the Bayelsa State Government House and that the people of Kogi State can begin to have a feel of better life under a PDP administration.
He also said the senatorial election in Kogi West was crucial and that party members need to turn out in their numbers to defend the seat.
According to him, the leadership of the PDP has abiding confidence in the voters in that senatorial election.
He stated that the choice before the electorate is between a continuation of quality representation at the Senate and a promise of meaningless change.
He said it was pertinent for all political actors to exhibit necessary decorum and sportsmanship.
The former presidential candidate urged all security agencies on election duty to do their job with utmost professionalism.
He advised all parties in the election to bear in mind that democracy can flourish only when everyone plays according to rule.


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|
/*
* correct - finds which parameter/s is/are most similar to the key parameter.
*
* Copyright (C) 2012 Chrisname.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include <getopt.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#define PROGRAM_NAME "correct"
#define VERSION_MAJOR 1
#define VERSION_MINOR 0
#define VERSION_PATCH 0
/*
* PASTE HERE.
*/
/** Shows the usage message */
static void show_usage(const char* argv0)
{
printf("correct - finds which parameter/s is/are most similar to the key parameter.\n"
"Usage: %s [options] <key> <value 1> [value 2 [value ... [value n ]]]\n"
"Options:\n"
"\t-h,--help\tShow this help message\n"
"\t-v,--version\tShow version information\n"
"\t-n,--number\tSet the number of parameters to print. 0 = all. Default: 1\n"
"\t-r,--reverse\tPrint output in reverse\n"
"\t-d,--detail\tPrint more detailed information\n", argv0);
}
/** Shows the version message */
static void show_version()
{
printf(PROGRAM_NAME " version %d.%d%d\n", VERSION_MAJOR, VERSION_MINOR,
VERSION_PATCH);
}
int main(int argc, char* argv[])
{
if (argc < 2) {
show_usage(argv[0]);
exit(EXIT_FAILURE);
}
int reverse = 0, detail = 0;
long n = 1;
for (;;) {
static const char* optstring = "hvn:rd";
static struct option longopts[] = {
{ "help", 0, NULL, 'h' },
{ "version", 0, NULL, 'v' },
{ "number", 1, NULL, 'n' },
{ "reverse", 0, NULL, 'r' },
{ "detail", 1, NULL, 'd' }
};
int c = getopt_long(argc, argv, optstring, longopts, NULL);
if (c < 0)
break;
switch (c) {
case 'h':
show_usage(argv[0]);
break;
case 'v':
show_version();
break;
case 'n':
n = strtol(optarg, NULL, 10);
break;
case 'r':
reverse = 1;
break;
case 'd':
detail = 1;
break;
default:
break;
}
}
if ((argc - optind) < 2) {
show_usage(argv[0]);
exit(EXIT_FAILURE);
}
correct(argv[optind], &argv[optind + 1], argc - optind - 1, n, reverse, detail);
return 0;
}
| |


CreateCamera()
语法
Result = CreateCamera(#Camera, x, y, Width, Height [, VisibilityMask])概要
Creates a new camera in the current world, at the position x,y with the specified dimensions. Note that these positions and sizes are the position and sizes of the display on the screen, not the position and size of the camera in the world.
Unlike other graphics related functions, these coordinates and dimensions are in percentages, from 0 to 100 (float numbers can be used for more precise placement). This could seems odd, but 3D applications should be resolution independent and this is a good way of achieving that. If a camera is created with a height of 50% then it will always fill 50% of the height of the screen, irrespective of whether you use a screen which is 640*480 or 1600*1200. If a camera has already been created with the same number, the previous camera is automatically freed and replaced by the new one.
Cameras can be overlapped. This means that it is possible to display a camera which fills the whole screen and put a little camera inside which shows another place in the world. To achieve this, the order of creation is very important: the camera which will be on top should be created last.
参数
#Camera The number to identify the new camera. #PB_Any 可以用来自动生成这个编码. x The percentage position across the screen of the left edge of the start of the display for this camera. 0% means at the left of the screen, 100% means at the right of the screen. See the picture below for a better overview. y The percentage position down the screen of the top edge of the start of the display for this camera. 0% means at the top of the screen, 100% means at the bottom of the screen. See the picture below for a better overview. Width The percentage of the width of the screen that the display for this camera should take up. See the picture below for a better overview. Height The percentage of the height of the screen that the display for this camera should take up. See the picture below for a better overview. VisibilityMask (optional) A mask to select which entities and billboards to display on this camera. The camera defines its own mask, and if the entity or billboard mask match, then it will be displayed. By default the entities and billboards have no mask, meaning they will be always displayed on all cameras.
返回值
Returns zero if the camera can't be created. If #PB_Any is used as '#Camera' parameter, the new camera number will be returned as 'Result'.
备注
Example: Camera creation position and dimension:
CreateCamera(0, 0, 0, 100, 100) ; Creates a camera which fill the whole screen CreateCamera(0, 0, 0, 100, 50) ; Creates an horizontal split screen effect, for 2 players CreateCamera(1, 0, 50, 100, 50) ; mode on the same screen CreateCamera(0, 0, 0, 100, 100) ; Create a full screen camera CreateCamera(1, 25, 0, 50, 10) ; And a rearview mirror effect. ; Note the rearview is last so that it is displayed on top of the full screen camera
Example: Two cameras separating screen into two halves:
; upper camera CreateCamera(0, 0, 0, 100, 50) MoveCamera(0, 0, 50, 150, #PB_Absolute) CameraBackColor(0, RGB(215, 225, 255)) ; camera below CreateCamera(1, 0, 50, 100, 50) MoveCamera(1, 0, 50, -150, #PB_Absolute) CameraBackColor(1, RGB(255, 225, 215)) RotateCamera(1, 180, 0, 0)
参阅
FreeCamera()
已支持操作系统
所有


Hillendale Press
A responsive Wordpress site and shop photos for Hillendale Press
Read more about this project--- layout: portfolio title: Design Projects excerpt: Check out some of the design work I've done in the past. ---
A responsive Wordpress site and shop photos for Hillendale Press
Read more about this projectA responsive Wordpress site for Black Collar Printing
Read more about this projectAlbum art, fliers and a tumblr site for Wildhoney.
Read more about this project


JS Tetris
New Game
Pause
High Score
About
: Rotate
: Move Left
: Move Right
: Move Down
Rotate
Move Down
score: 0
lines: 0
level: 0
amp: 0
time: 0
Author: szxwqhps
Version: 0.0.1
Description: just an example of yqf
Move Left
Move Right


{% extends "base_docs.html" %} {% load markdown_deux_tags %} {% block docstitle %}
Wrappers for these languages have been made:
Written a wrapper? Let us know and we'll add it to the list here.
A Pokedex returns the names and resource_uri for all pokemon. Note: This is a special resource call. Always call /api/v1/pokedex/1/.
{ "created": "2013-11-09T15:14:48.957604", "modified": "2013-11-09T15:14:48.957565", "name": "national", "pokemon": [ { "name": "pidgeotto", "resource_uri": "api/v1/pokemon/17/" }, ... ] }
| Name | Description | Data Type |
|---|---|---|
| name | the pokedex name e.g. National | string |
| resource_uri | the uri of this resource. | string |
| created | the creation date of the resource. | date |
| pokemon | a big list of pokemon within this pokedex. | list |
A Pokemon resource represent a single Pokémon. Note: the ID for Pokémon is special. Use the National pokédex number as the ID to return the desired resource.
Returns a list of pokemon
{ "abilities": [ { "name": "overgrow", "resource_uri": "/api/v1/ability/1/" }, { "name": "chlorophyll", "resource_uri": "/api/v1/ability/2/" } ], "attack": 49, "catch_rate": 45, "created": "2013-11-02T12:08:25.745455", "defense": 49, "egg_cycles": 21, "egg_groups": [ { "name": "Monster", "resource_uri": "/api/v1/egg/1/" }, { "name": "Grass", "resource_uri": "/api/v1/egg/8/" } ], "ev_yield": "1 Sp Atk", "evolutions": { "level": 16, "method": "level up", "resource_uri": "/api/v1/pokemon/2/", "to": "Ivysaur" }, "exp": 64, "growth_rate": "ms", "happiness": 70, "height": "2'4", "hp": 45, "male_female_ratio": "87.5/12.5", "modified": "2013-11-02T13:28:04.914889", "moves": [ { "learn_type": "other", "name": "Tackle", "resource_uri": "/api/v1/move/1/" }, { "learn_type": "other", "name": "Growl", "resource_uri": "/api/v1/move/2/" }, { "learn_type": "level up", "level": 10, "name": "Vine whip", "resource_uri": "/api/v1/move/3/" } ], "name": "Bulbasaur", "national_id": 1, "resource_uri": "/api/v1/pokemon/4/", "sp_atk": 65, "sp_def": 65, "species": "seed pokemon", "speed": 45, "total": 318, "types": [ { "name": "grass", "resource_uri": "/api/v1/type/5/" }, { "name": "poison", "resource_uri": "/api/v1/type/8/" } ], "weight": "15.2lbs" }
| Name | Description | Data Type |
|---|---|---|
| name | the pokemon name e.g. Bulbasaur | string |
| national_id | the id of the resource, this is the National pokedex number of the pokemon. | integer |
| resource_uri | the uri of this resource. | string |
| created | the creation date of the resource. | date |
| modified | the last time this resource was modified. | date |
| abilities | the abilities this pokemon can have | list |
| egg_groups | the egg groups this pokemon is in | list |
| evolutions | the evolutions this pokemon can evolve into | list |
| descriptions | the pokedex descriptions this pokemon has | list |
| moves | the moves this pokemon can learn | list |
| types | the types this pokemon is | list |
| catch_rate | this pokemon's catch rate | integer |
| species | the species identifier of this pokemon | string |
| hp | the base hp stat of this pokemon | integer |
| attack | the base attack stat of this pokemon | integer |
| defense | the base defense stat of this pokemon | integer |
| sp_atk | the base special attack stat of this pokemon | integer |
| sp_def | the base special defense stat of this pokemon | integer |
| speed | the base speed stat of this pokemon | integer |
| total | the total of the above attributes | integer |
| speed | the base speed stat of this pokemon | integer |
| egg_cycles | number of egg cycles needed | integer |
| ev_yield | the ev yield for this pokemon | integer |
| exp | the exp yield from this pokemon | integer |
| growth_rate | the growth rate of this pokemon | integer |
| height | the height of this pokemon | integer |
| weight | the weight of this pokemon | integer |
| male_female_ratio | in the format M / F | ratio |
A Type resource represent a single Pokémon type
Returns a list of types
{ "created": "2013-11-02T12:09:07.305733", "id": 3, "ineffective": [ { "name": "fire", "resource_uri": "/api/v1/type/2/" }, { "name": "ice", "resource_uri": "/api/v1/type/6/" }, { "name": "steel", "resource_uri": "/api/v1/type/17/" }, { "name": "water", "resource_uri": "/api/v1/type/3/" } ], "modified": "2013-11-02T13:14:44.369331", "name": "Water", "no_effect": [], "resistance": [ { "name": "fire", "resource_uri": "/api/v1/type/2/" }, { "name": "ice", "resource_uri": "/api/v1/type/6/" }, { "name": "steel", "resource_uri": "/api/v1/type/17/" }, { "name": "water", "resource_uri": "/api/v1/type/3/" } ], "resource_uri": "/api/v1/type/3/", "super_effective": [ { "name": "fire", "resource_uri": "/api/v1/type/2/" }, { "name": "ground", "resource_uri": "/api/v1/type/9/" }, { "name": "rock", "resource_uri": "/api/v1/type/13/" } ], "weakness": [ { "name": "electric", "resource_uri": "/api/v1/type/4/" }, { "name": "grass", "resource_uri": "/api/v1/type/5/" } ] }
| Name | Description | Data Type |
|---|---|---|
| name | the pokedex name e.g. Water | string |
| id | the id of the resource | integer |
| resource_uri | the uri of this resource. | string |
| created | the creation date of the resource. | date |
| modified | the last time this resource was modified. | date |
| ineffective | the types this type is ineffective against | list |
| no_effect | the types this type has no effect against | list |
| resistance | the types this type is resistant to | list |
| super_effective | the types this type is super effective against | list |
| weakness | the types this type is weak to | list |
A Move resource represent a single move
Returns a list of moves
{ "accuracy": 100, "category": "physical", "created": "2013-11-02T12:37:05.266762", "description": "A physical attack in which the user charges and slams into the target with its whole body.", "id": 1, "modified": "2013-11-03T11:51:57.009696", "name": "Tackle", "power": 50, "pp": 35, "resource_uri": "/api/v1/move/1/" }
| Name | Description | Data Type |
|---|---|---|
| name | the pokedex name e.g. National | string |
| id | the id of the resource | integer |
| resource_uri | the uri of this resource | string |
| created | the creation date of the resource | date |
| modified | the creation date of the resource | date |
| description | a description of the move | string |
| power | the power of the move | integer |
| accuracy | the accuracy of the move | string |
| category | the category of the move | string |
| pp | the pp points of the move | string |
An Ability resource represent a single Pokémon ability
Returns a list of abilities
{ "created": "2013-11-02T12:21:28.166682", "description": "When a Pokmon with Overgrow uses a Grass-type move, the power will increase by 1.5x if the user has less than or equal to 1/3 of its maximum HP remaining.", "id": 1, "modified": "2013-11-02T13:27:06.591413", "name": "Overgrow", "resource_uri": "/api/v1/ability/1/" }
| Name | Description | Data Type |
|---|---|---|
| name | the pokedex name e.g. National | string |
| id | the id of the resource | integer |
| resource_uri | the uri of this resource | string |
| created | the creation date of the resource | date |
| modified | the creation date of the resource | date |
| description | the description of this ability | string |
An Egg group resource represent a single Pokémon egg group
Returns a list of egg groups
{ "created": "2013-11-02T12:24:55.532023", "id": 1, "modified": "2013-11-02T12:24:55.531989", "name": "Monster", "pokemon": [ { "name": "Ivysaur", "resource_uri": "/api/v1/pokemon/2/" }, { "name": "Bulbasaur", "resource_uri": "/api/v1/pokemon/1/" } ], "resource_uri": "/api/v1/egg/1/" }
| Name | Description | Data Type |
|---|---|---|
| name | the pokedex name e.g. National | string |
| id | the id of the resource | integer |
| resource_uri | the uri of this resource | string |
| created | the creation date of the resource | date |
| modified | the creation date of the resource | date |
| pokemon | the pokemon htis egg group is for | list |
A Description resource represent a single Pokémon pokédex description
Returns a list of descriptions
{ created: '2013-12-24T17:14:38.281429', description: 'A strange seed was planted on its back at birth. The plant sprouts and grows with this POKMON.', games: [{ name: 'red(JPN)', resource_uri: '/api/v1/game/1/' }, { name: 'green(JPN)', resource_uri: '/api/v1/game/2/' }], id: 2, modified: '2014-01-18T14:29:53.118541', name: 'Bulbasaur_gen_1', pokemon: { name: 'bulbasaur', resource_uri: '/api/v1/pokemon/1/' }, resource_uri: '/api/v1/description/2/' }
| Name | Description | Data Type |
|---|---|---|
| name | the pokedex name e.g. National | string |
| id | the id of the resource | integer |
| resource_uri | the uri of this resource | string |
| created | the creation date of the resource | date |
| modified | the creation date of the resource | date |
| games | a list of games this description is in | list |
| pokemon | the pokemon this sprite is for | list |
A Sprite resource represent a single Pokémon Sprite
Returns a list of sprites
{ "created": "2013-11-02T12:34:19.113143", "id": 1, "image": "/media/img/1383395659.12.png", "modified": "2013-11-02T12:34:19.113053", "name": "Bulbasaur_blue_red", "pokemon": { "name": "bulbasaur", "resource_uri": "/api/v1/pokemon/1/" }, "resource_uri": "/api/v1/sprite/1/" }
| Name | Description | Data Type |
|---|---|---|
| name | the pokedex name e.g. National | string |
| id | the id of the resource | integer |
| resource_uri | the uri of this resource | string |
| created | the creation date of the resource | date |
| modified | the creation date of the resource | date |
| pokemon | the pokemon this sprite is for | pokemon |
| image | the uri for the sprite image | string |
A Game resource represent a single Pokémon game
Returns a list of games
{ "created": "2013-11-02T12:11:41.755402", "generation": 1, "id": 1, "modified": "2013-11-02T12:12:47.378286", "name": "Pokemon red (JPN)", "release_year": 1996, "resource_uri": "/api/v1/game/1/" }
| Name | Description | Data Type |
|---|---|---|
| name | the pokedex name e.g. National | string |
| id | the id of the resource | integer |
| resource_uri | the uri of this resource | string |
| created | the creation date of the resource | date |
| modified | the creation date of the resource | date |
| release_year | the year the game was released | string |
| generation | the generation this game belongs to | integer |


The mission of the QVEU is to explore questions related to virus evolution, emergence, and pathogenesis through rigorous quantitative experiments and computational biology.
The three concepts that motivate the lab are:
Heterogeneity - how do diversity and selection in viral and host cell populations affect the outcome of infection and evolution?
Constraint - what are the forces (biological, genetic, or biophysical) that shape evolutionary processes?
History - how can historical data (either measured or inferred computationally) inform our experiments into viral diversification and emergence?
Interested in viruses, immunity, and molecular evolution? Join us! E-mail a CV and cover letter to (Patrick Dolan, Unit Chief)


 In his spare time he tries to level up his skills in playing Street Fighter.
Nasha was born and raised in Wisconsin but has been enjoying the sun in Arizona for the last 7 years. She enjoys traveling and pinning future home decor plans on Pinterest.
Stephen was born in the midwest but has been living in Phoenix since his young teen years. He enjoys heating up weights in the gym when trying to escape the Phoenix heat.
Greg was born in the great state of New York but split most of his time between Idaho and Alaska. When not capturing beautiful photos while traveling the world he enjoys in to cook up some of his favorite recipes.
Carmen is an avid singer and songwriter who enjoys spending quality time with her family in South Carolina. When not writing up the latest hits she loves to traveling the world to capture new memories with her family.
Kyle has been an avid sports fan even as a young kid, but specially after moving to Salt Lake City as a teenager. He loves to spend quality time with his family and friends while checking out some his favorite movies.


{% extends "global/Page.html" %} {% load otree static %} {% block title %} Thank you {% endblock %} {% block scripts %} {% endblock %} {% block styles %} {% endblock %} {% block content %}
In Part 1, your bonus payment was {{ baseline_bonus }}.
In the competition presented in Part 2, you attempted {{ attempted }} {{ problems }} and
got {{ correct }} questions correct.
You ranked {{ player.game1_rank }} out of 3 players.
As a result, your prize from Part 2 is {{ player.game1_bonus }}.
In total, you will be paid {{ total_bonus }} on top of the HIT payment.


Finance Ministry: No change in RON97, RON95, diesel retail prices Nov 30-Dec 6
KUALA LUMPUR, Nov 29 — The Finance Ministry (MoF) today announced the retail price of RON97 petrol stayed at RM2.66 per litre while RON95 petrol and diesel will remain at RM2.08 and RM2.18 per litre respectively for the period November 30 to December 6.
MoF in a statement issued today, announced the retail prices of petroleum set weekly using an Automatic Pricing Mechanism (APM) for RON95 and diesel for the period should have been RM2.36 and RM2.29 per litre.
The statement also said based on APM, there was no change to the retail price of RON95 petrol while there was an increase in the retail price of diesel which was at RM2.27 per litre last week.
Nonetheless, the retail price for both products would remain at RM2.08 and RM2.18 per litre respectively in line with the decision of the government to stabilise the retail price of petroleum for the well-being of people.
“The estimated amount subsidy shouldered by the government for the period is RM115.70 million,” the statement said. — Bernama


|
|
float | absVDifMax |
| |
|
float | areaCellMin |
| |
|
float | cellClutterFractionMax |
| |
|
float | chisqMin |
| |
|
float | clutterValueMin |
| |
|
float | dbzMax |
| |
|
float | dbzThresMin |
| |
|
float | fringeDist |
| |
|
float | refracIndex |
| |
|
float | vradMin |
| |
|
int | nBinsGap |
| |
|
int | nPointsIncludedMin |
| |
|
int | nNeighborsMin |
| |
|
int | nObsGapMin |
| |
|
int | nAzimNeighborhood |
| |
|
int | nRangNeighborhood |
| |
|
int | nCountMin |
| |
The documentation for this struct was generated from the following file: