--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Tell.20leanpkg.20to.20use.20(n-1).20cpu.20cores.html ---
Yesterday I rebuilt mathlib and it froze my desktop for > 2hrs. I would like to tell leanpkg to use only 3 of my 4 cores. I'm on Linux. Should I use fancy cgroups
for this, or is there some easy method?
Hmm, maybe nice leanpkg build
will do the job.
Let's see if I stay responsive (-;
Nope... on my laptop again...
Stupid nice
You can use lean -j3 --make
. But I don't think that using all cores is the cause for your computer freezing. It's much more likely to be memory usage.
I've got 8 GB, shouldn't that be sufficient?
the answer is always no
Whelp... it is indeed using >7 GB
No, something is off. The lean process with niceness 10 is using only 10% of my memory.
I've got to kill some other memory hog.
So, do you guys have a strategy for keeping your system responsive during rebuilds? Or you only rebuild during lunch?
What are you building? I know that Lean eats memory for breakfast, but mathlib takes only 7 minutes and 1.5G of RAM here.
I am trying to rebuild mathlib. The 1.5GB seems to be what my system is using as well.
The 7 minutes... not really.
It is still frozen to the core.
Might it be a problem that I launched the rebuild from a feature branch?
It only had changes in 1 file, compared to mathlib HEAD.
No the small change should make it faster. But maybe the change causes a by simp
to time out?
Wait, by frozen you just mean that lean is frozen, not your whole machine? What is the last line that lean printed?
No, the machine is frozen.
I currently have a frozen top
in front of me. I can't even issue a kill.
you are awfully chatty for someone with a bricked computer
I'm on a laptop...
People have >3 devices with Zulip on it nowadays, don't they?
Ok, so the last line that lean printed says that it is making stuff on Turing machines.
That shouldn't get me stuck.
Which branch are you on?
map2
It is a feature branch that I'm trying to PR containing about 25 lines of changes in linear_algebra/multivariate_polynomial.lean
Good news! The branch builds! (Not very helpful, I know.)
Can you try rm **/*.olean
and build again?
Nope, I can't... It is still frozen...
isn't it time to reboot?
It made a bit of progress! But it is still really slow.
I'm one of those guys that don't like to reboot a linux box. It feels like epic failure.
Yoochai! It survived. I managed to execute killall code
, which closed 3 instances of VScode working on different Lean projects.
Now the compile is running smoothly again!
I guess I need more RAM
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


An implementation of Scalable Bayesian Rule Lists Algorithm.
| Version: | 1.2 |
| Imports: | Rcpp (≥ 0.12.4), arules, methods |
| LinkingTo: | Rcpp |
| Published: | 2016-07-29 |
| Author: | Hongyu Yang [aut, cre], Morris Chen [ctb], Cynthia Rudin [aut, ctb], Margo Seltzer [aut, ctb] |
| Maintainer: | Hongyu Yang <hongyuy at mit.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| SystemRequirements: | gmp (>= 4.2.0), gsl |
| CRAN checks: | sbrl results |
| Reference manual: | sbrl.pdf |
| Package source: | sbrl_1.2.tar.gz |
| Windows binaries: | r-devel: sbrl_1.2.zip, r-release: sbrl_1.2.zip, r-oldrel: sbrl_1.2.zip |
| OS X binaries: | r-release: sbrl_1.2.tgz, r-oldrel: sbrl_1.2.tgz |
| Old sources: | sbrl archive |
Please use the canonical form https://CRAN.R-project.org/package=sbrl to link to this page.


A classical example for a normally distributed variable is height. However, I kept on looking for data as to the mean and sd for some populations, such as Germany. Now I found some reliably looking data here.
We will not question whether the assumption of normality holds, we just assume it.
In the source, we can read that in Germany, the adult men population has the following parameters:
mean: 174cm
sd: 7cm
For women:
mean: 163cm
sd: 7cm
Let’s play around with these numbers and plug them into the normal formula. To keep things straight, we will enjoy the comfort of the xpnorm
and xqnorm
functions provided by the R package mosaic
. We can plug 174
right into xpnorm
. The function is an extended version (hence x
) of pnorm
function, which gives back the percentile or probability (hence p
) of some value which is distributed normally (hence norm
).
Say, for instance, we wonder how many men are taller than some one (male) of height 174cm:
library(mosaic)
## Loading required package: dplyr
## Warning: package 'dplyr' was built under R version 3.5.1
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
## Loading required package: lattice
## Loading required package: ggformula
## Loading required package: ggplot2
##
## New to ggformula? Try the tutorials:
## learnr::run_tutorial("introduction", package = "ggformula")
## learnr::run_tutorial("refining", package = "ggformula")
## Loading required package: mosaicData
## Loading required package: Matrix
##
## The 'mosaic' package masks several functions from core packages in order to add
## additional features. The original behavior of these functions should not be affected by this.
##
## Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
##
## Attaching package: 'mosaic'
## The following object is masked from 'package:Matrix':
##
## mean
## The following object is masked from 'package:ggplot2':
##
## stat
## The following objects are masked from 'package:dplyr':
##
## count, do, tally
## The following objects are masked from 'package:stats':
##
## binom.test, cor, cor.test, cov, fivenum, IQR, median,
## prop.test, quantile, sd, t.test, var
## The following objects are masked from 'package:base':
##
## max, mean, min, prod, range, sample, sum
xpnorm(q = 174,
mean = 174,
sd = 7)
##
## If X ~ N(174, 7), then
## P(X <= 174) = P(Z <= 0) = 0.5
## P(X > 174) = P(Z > 0) = 0.5
##
## [1] 0.5
Simple, right? The z-value as indicated in the figure is the answer to the question: “Relative to the SD \(sd\), how far are you (\(x_i\)) from the mean value \(\mu\)?”. Mathy: \(z = (x_i-\mu) / sd\). In this case: \(z = (174 - 174) / 7 = 0\). This point falls right on the mean, zero distance from the mean, hence \(z=0\).
As the normal distribution is symmetric, 50% is left of the mean, and 50% right.
Let’s say we would like to know how many women are greater than the average man:
xpnorm(q = 174,
mean = 163,
sd = 7)
##
## If X ~ N(163, 7), then
## P(X <= 174) = P(Z <= 1.571) = 0.942
## P(X > 174) = P(Z > 1.571) = 0.05804
##
## [1] 0.9419584
As the figure tells us, about 6% of the women (values) are greater than 174cm.
Similarly, suppose we find a man of average female size and wonder how many of the men are greater than this guy.
xpnorm(q = 163,
mean = 174,
sd = 7)
##
## If X ~ N(174, 7), then
## P(X <= 163) = P(Z <= -1.571) = 0.05804
## P(X > 163) = P(Z > -1.571) = 0.942
##
## [1] 0.05804157
About 94%.
We can also go the other way round: How tall must a man be in order to measure up to notorious “top 5 per cent”? Now we plug in a percentage or percentile, and we want back a value, also called a quantile. A quantile is the value of the variable of interest for some given percentile. See:
xqnorm(p = .95,
mean = 174,
sd = 7)
##
## If X ~ N(174, 7), then
## P(X <= 185.514) = 0.95
## P(X > 185.514) = 0.05
##
## [1] 185.514
About 186cm. All guys of this height and the taller ones are part of the 5% tallest men (of this population, given the assumptions hold). Note that the percentile counts from “left” to the “right”. So we have to indicate the “red” area of the figure (the left part).
If a women is of height 186, what’s her percentile?
xpnorm(186, 174, 7)
##
## If X ~ N(174, 7), then
## P(X <= 186) = P(Z <= 1.714) = 0.9568
## P(X > 186) = P(Z > 1.714) = 0.04324
##
## [1] 0.9567619
Around 96%; 4% are taller. Note taht we do not need to name the arguments of a R function given we stick to the standard order of the arguments (what we did here).


02. Project Resources
# Project Prerequisites
Completing this project successfully depends on your ability to apply skills you have learned throughout the program. The following lessons were made specifically to help you through this project. Feel free to reference this material as you complete the project.
Throughout the remaining project description, we will link to relevant resources from each of these lessons. If you have not completed these lessons, please take the time to familiarize yourself with their content.
Build Your Project
## Let's get started
First, take your time to carefully read the Project Rubric to ensure you are clear about the criteria that Reviewers will use to evaluate your project.
## Project Setup
Add Dependencies
First, set your project:
- Use the Private Blockchain application that you built and use in Project 2 and Project 3.
- Set up a Node.js Project with the following dependencies:
"dependencies": {
"bitcoinjs-lib": "^4.0.2",
"bitcoinjs-message": "^2.0.0",
"body-parser": "^1.18.3",
"crypto-js": "^3.1.9-1",
"express": "^4.16.4",
"hex2ascii": "0.0.3",
"level": "^4.0.0",
}
Note: The dependencies above are for a project built using Express Framework so it may be different if you are using a different Web Framework.
Check Dependencies Documentation
Remember npm
modules can be installed in your project using the command npm install <module_name> --save
.
Check the documentation of some helpful modules that you can use in this project:
## Star Coordinates
Before building this service you'll need to understand a few details about how star data is represented. Understanding this will impact how you store and retrieve data on your private blockchain.
Here is an example of how star coordinates are represented:
RA 13h 03m 33.35sec, Dec -49° 31’ 38.1” Mag 4.83 Cen
These coordinates are similar to latitude and longitude but instead relate to coordinates in the sky.
### Abbreviations
Within this data, you’ll notice a few abbreviations. Here is what each of these abbreviations stands for.
RA = Right Ascension
DEC = Declination
CEN = Centaurus
MAG = Magnitude
*Note: Mag stands for magnitude, which is the brightness of the star. *
### Interesting Star Fact
The limiting brightness of stars seen with the naked eye is about magnitude 6.5. With binoculars, you can see to magnitudes of about 10. Cen, in this case, stands for Centaurus, one of the 88 constellations that can be found in the sky. Knowing the constellation can help you locate a star more easily.
### Resources for Discovering Stars
There are many great resources you can use to discover stars. Here are a few of our favorites!
## Need help with validating message signatures?
bitcoinjs-message is a node.js library which requires bitcoinjs-lib to sign and verify Bitcoin message.
const bitcoin = require('bitcoinjs-lib');
const bitcoinMessage = require('bitcoinjs-message');
let address = '142BDCeSGbXjWKaAnYXbMpZ6sbrSAo3DpZ'
let signature = 'IJtpSFiOJrw/xYeucFxsHvIRFJ85YSGP8S1AEZxM4/obS3xr9iz7H0ffD7aM2vugrRaCi/zxaPtkflNzt5ykbc0='
let message = '142BDCeSGbXjWKaAnYXbMpZ6sbrSAo3DpZ:1532330740:starRegistry'
console.log(bitcoinMessage.verify(message, address, signature))
## Need help testing your endpoints?
Several tools are available on the internet to assist with API development and testing. If you're having troubles testing your endpoints, try one of the tools listed below:


"When he’s not programming, he’s enjoying the outdoors usually with a run or long hike, and loves anime & video games"
"Love sometimes expresses itself in sacrifice."- Captain Kirk
"Full time student at Lambda School. Future software engineer."
"Brewin, codin, climbin, chillin."
"Fresh to development but surely gaining a passion for coding and learning"
"I have no idea what I'm doing half the time"
"I love being creative and I find inspiration in nature."


Markablog Remarkably Simple Blogging April 10th, 2013
Overview
This script accepts Markdown as input and builds a blog style website.
Everything is an asset, the effort for every task is distilled.
It's unique in that it allows you to not do very much to dramatically change the site. Here's why:
- Anything you put in the posts directory will become a post in the index.
- Anything you put in the pages directory will become a page in the navbar.
- Anything you put in the CSS directory will be come a stylesheet for everything.
- Any word you write will be beautifully styled thanks to Bootstrap.
Any code you write will be beautifully highlighted thanks to Prettyprint.
System.out.println("Hello world!");
Any math you write will be beautifully rendered thanks to MathJax.
$$e^{i \pi} + 1 = 0$$
Quick start
You should download the source, place Markdown files in the posts directory, and run build.
If you'd like to sort your posts, you need to have your naming format
be alphanumerically and lexicographically sortable. The naming standard
that's built into Markable is [YEARMNDY]["Title"].md
.
If you'd like the date displayed in your post, you'll need to use something like this:
This is the title of my post {{meta}}
-------------------------------------
The {{meta}}
will be replaced by a date and a clickable link to a page
with only this post.
Replace the metadata in build.pl
to get a custom title for your site.
The title and URL of every post in the browser is determined by the filename, everything else in the file is determined by you.
To edit the About page, edit about.md
.
Design Goals
The design goals of this project are the same as the design goals of my website:
- Simple, easy, lightweight
- Scalable, fast web-hosting
- Custom domain name
- Cheap or free
- Write posts in Markdown alone
Comparable Tools
I do not at all claim to have feature parity with these services, but I looked into these static blog generators before deciding to write my own:
To do
- Categories
- Each folder in the posts directory will be a category
- Each category will have its own index
- Tags
- A hashtag implementation a la Twitter
- A hashtag in a post will enter that post into a
ordered list in a unified
Tags.html
page.
- Site map
- A linked list of every post


--- title: "Ping." date: 2019-04-02 01:14:07 image: '/assets/' excerpt: "A basic version of the famous Atari pong, in less than 200 lines of HTML, CSS and JavaScript." tags: javascript html css games categories: things ---
Bounce the balls! Move with the L/R arrow keys, and adjust the difficulty by changing the speed or adding more balls.
This game is one of my first javascript projects, specifically intended to familiarize myself with working with the DOM and updating the HTML and CSS on the fly. It was coded pretty much from scratch, with around 160 lines of JS, 50 of CSS, and barely 10 lines of HTML (not counting this writeup, of course).
It's surprisingly tricky to make div height a function of width in plain CSS. I didn't want to code absolute size, which meant using % width of the surrounding container. Unfortunately getting a % of height is harder since, well, scrolling - so I decided to have height proportional to width. Unfortunately, the CSS height attribute can't natively access the container width. For some reason, padding-top can. Don't ask me why it can when height can't, but it gives one way to solve the problem:
div {
width = 100%;
padding-top = 100%
}
This seems to be the typical way to solve the problem, but it means that you need to use absolute positioning for all the child elements - unless you want them all pressed down to the bottom. I didn't want to commit to that, so I ended up hijaking the height with javascript. Funnily enough, javascript also didn't have easy access to the div weight, since I didn't set it inline. Luckily, it does provide a workaround:
game = document.getElementById("game");
game_width = game.clientWidth;
game.style.height = game_width * ratio + "px";
Voila! Box. The extra effort was slightly diminished given that I subsequently used only absolute positioning. But hey - at least I have the width and height as javascript variables now!
Moving the disk on keyboard input is super straightforward with a keydown
event listener updating the positional information. A bigger challenge was working out the boundaries. Since the disk has width itself, I slimmed the bounds to make sure it doesn't leave the box. I got super confused for a bit since my last graphics code was written in R, where position refers to the center of an element. In CSS, it's the upper left corner. That baffled me for way too long.
document.addEventListener('keydown', function(event) {
if (event.keyCode == 37 & catcher_x > 0 + game_width * 0.03) {
catcher_x = catcher_x - game_width * 0.03;
} else if (event.keyCode == 39 & catcher_x < game_width * 0.9) {
catcher_x = catcher_x + game_width * 0.03;
}
})
These were by far the most complicated, with several pieces coming together to make them work. They needed to move, preferably in different directions. They should also bounce at the walls - unless you miss and they hit the ground.
Basic animation is straightforward with setInterval()
wrapping an incremental change in position. Absolute positioning was very useful here. But predictable bounces aren't that fun, so I wanted to endow each ball with random directional velocity - vx and vy values to increment by. I used Math.random()
for vx, then trigonometry for vy, meaning that the distance per move will be the same for each dot. Associating these values with balls was my first proper brush with the stringiness of javascript. I'd planned to store them as attributes with the span, but they somehow magically turned into string each time I tried to get them back. Everything turned into strings. Width and height and position all turned into strings, often with a random 'px' appended. Type conversion and regex, sure, but argh such overhead. I ended up just keeping track of everything in the script as well, bundling a dot into an object together with its position and direction.
That made bouncing simpler. Hit a wall, flip the sign on vx. Hit the ceiling or disk, flip the sign on vy. Perambulate as normal. Boundary-detection had the same issue as with the disk, and it took several tries until I was touching the walls without ghousting through them. Disk-detection was also thrown by my misunderstanding of position = center, and for awhile the disk's shadow was more effective than the disk itself. Sigh.
 I've yet to get past two hits with more than one ball in the air. Mostly, it's fun to initialize a bunch and let them fall. Still, a fun addition that required a bit of a coding overhaul.
Plonking an extra circle on the page was surprisingly easy, with the createElement()
and addChild()
functions. This wouldn't be so streamlined, except all my styling was done direct to the span
tag so I didn't need to tediously add extra attributes, children and styling. To be part of the game, that circle was wrapped together with movement info and stashed in an array.
Looping through the array with forEach()
caused a new issue. With all balls in the air, it ran fine. With a ball on the ground, it also ran fine. Unfortunately, it comes without break
capability. God knows why, but it meant the fallen ball stayed on the ground post-death instead of resetting with the others. It was a simple conversion to a for loop, but I remain disappointed.
On the other hand, since the balls only reset when the death function is called, you can add new ones and adjust the speed on the go. Adjusting the speed does pause the game, since I controlled the speed through the millisecond wait in setInterval()
.  Whoops.
Fun to code and fun to play. It looks surprisingly decent - perks of minimalism! Javascript is rather finicky. I definitely don't appreciate how everything turns into a string as soon as it touches the DOM, or the existence of loops that just won't break. On the other hand, the ease of web programming is rather wondrous - especially given this is a static website. Client side scripting for the win!


We sell bitcoin!
- productize next-generation synergies
- innovate e-business platforms
- monetize seamless vortals
- mesh collaborative channels
- generate mission-critical functionalities
- harness best-of-breed relationships
- optimize 24/7 deliverables
- seize open-source methodologies
- target value-added eyeballs
- deploy leading-edge systems
- mesh efficient infomediaries
- iterate turn-key web-readiness
- synthesize dot-com systems


%inherit file='base.html'/> <%block name='script'> %block> <%block name='subtitle'>Presence mean time by weekday%block>


--- layout: post-template title: "A Bloody Affair" postHeading: "A Bloody Affair" subHeading: "A poem" tags: poetry depression related: depression date: "22 Mar 2019" image: "/img/A-Bloody-Affair/photo-by-tim-marshall-on-unsplash.jpg" credit: "Photo by Tim Marshall on Unsplash" ---
No love without pain
. . .
Please don’t walk out on me,
I promise to do right by you.
Look over here, my love;
My arm bleeds like my heart
Twice torn. Yes, drop your keys
And run fast to my aid.
You’ll find bandages in the cabinet
Above the sink. Blood drips slowly
Onto the kitchen floor;
The sight of it gives me a rush –
Now I know what lengths
I’d go to, to keep your heart beating
For me, as mine does for you.
 I’d do it over
And over again, until I become
Nothing but muscle and sinew –
Bleeding for your attention and affection.
I know at times you doubt our love,
But whatever it is that I feel,
I know that you feel it too.
And try as you might to leave,
Your heart won’t let you.

I begin to sob silently
At the pain in your eyes;
Yet, my heart is full.
Not because I made you stay again,
But because I realise
Just how much you love me.
Your love for me is beyond
My wildest dreams.
There’s no life without you,
And no love without bloodshed.
I’d gladly shed my blood
And give my life for you.
I watch you rise
To clean up the floor;
Your step is as sure
As my love is for you.
In a few sweeping moves,
The bloody mess is wiped off –
The floor is no longer marred
By my act of penitence.
I lift myself off the cold hard tiles
And hug you tightly from behind.
I know that everything
Will be alright now.
You won’t walk out on me.
My heart’s in yours and yours in mine.
. . .
First published on Lit Up Magazine


Contact: B. Wyman Reviewers: Change history: WebCVS Log for bgrid_halo.f90
Provides an interface for updating the B-grid dynamical core halo rows and columns, including the polar halo rows. See the notes section for a description of the polar boundary condition.
Additional interfaces are provided for updating the halo rows of horiz_grid_type derived-type variables and for setting fluxes at the sub-polar to zero.
horiz_grid_mod utilities_mod mpp_domains_mod
use bgrid_halo_mod [, only: update_halo, horiz_grid_boundary, vel_flux_boundary, TEMP, UWND, VWND, SOUTH, NORTH, WEST, EAST, NOPOLE, POLEONLY ] update_halo Updates all requested rows in the halo region for a requested field of type: TEMP, UWND, or VWND. By default all boundaries will be updated. To update only specific boundaries use the public parameters: SOUTH, NORTH, WEST, EAST, NOPOLE, and POLEONLY. horiz_grid_boundary Updates the halo region for variables of derived-type horiz_grid_type. Should be called after horiz_grid_init. vel_flux_boundary Zeros the sub-polar row of fields on the velocity grid. This routine is needed by several dynamics routines for conservation, but should not normally be needed by the user. TEMP, UWND, VWND Integer parameters to be used as the "field" argument in interface update_halo. The VWND value will result in a sign flip beyond the polar rows. Data at auxilary mass flux points can also use these values: U-flux points use TEMP and V-flux points use either UWND or VWND depending whether a sign flip is desired. SOUTH, NORTH, WEST, EAST, NOPOLE, POLEONLY Integer parameters to be used as the optional "flags" argument to interface update_halo. NOPOLE and POLEONLY apply only to fields UWND and VWND.
call update_halo ( Hgrid, field, data [,flags] ) INPUT field Specifies which field/grid the data is on. You must use the publicly accessible parameters: TEMP, UWND, or VWND. See the description of these parameters above. [integer,scalar] INPUT/OUTPUT Hgrid The derived-type variable returned by a previous call to horiz_grid_init. See the module horiz_grid_mod for details. [type(horiz_grid_type)] data Data array on any valid grid, may have 2, 3, or 4 dimensions. The dimensions correspond to the x, y and z axes, and tracer number. [real,dimension(:,:) or dimension(:,:,:) or dimension(:,:,:,:)] OPTIONAL INPUT flags Integer flag that describes which halo regions should be updated. By default all halo regions are updated. The value of flags should be some combination of the public parameter values SOUTH, NORTH, WEST, EAST, and NOPOLE. For example, to only update the north and east halo regions set flags=NORTH+EAST. The flag for NOPOLE suppresses the halo update of velocity at the poles. An additional flag POLEONLY may be used independently to update only the north and south polar halo rows without updating the interior halo rows. This kind of update will require no processor to processor communication. [integer,scalar] ------------------------------------------------------------------------ call horiz_grid_boundary ( Hgrid ) INPUT/OUTPUT Hgrid The derived-type variable returned by a previous call to horiz_grid_init. See the module horiz_grid_mod for details. [type(horiz_grid_type)] ------------------------------------------------------------------------ call vel_flux_boundary ( Hgrid, data ) INPUT Hgrid The derived-type variable returned by a previous call to horiz_grid_init. See the module horiz_grid_mod for details. [type(horiz_grid_type)] INPUT/OUTPUT data Real data array on velocity grid, may have 2 or 3 dimensions. The dimensions correspond to the x, y and z axes. The data in the sub-polar row will be set to zero. [real,dimension(:,:) or dimension(:,:,:)]
Fatal errors in update_halo i dimension has wrong size The 1st (i) dimension of input/output argument data must have a size equal to Hgrid % isize (the entire i dimension). j dimension has wrong size The 2nd (j) dimension of input/output argument data must have a size equal to Hgrid % jsize (the entire j dimension). invalid value for flags The value of optional argument flags was invalid. This can only happen when the user specifies a value. The value of flags should be set using the public module parameters, and must be in the following range: 0 < flags <= SOUTH+NORTH+WEST+EAST+NOPOLE+POLEONLY. invalid field The input argument "field" has an incorrect value. Make sure you are using one of public parameters: TEMP, UWND, or VWND.
None.
At the north-south polar boundaries the following boundary conditions are applied: a) Velocities at the poles are equal to zero u(i,p) = 0 v(i,p) = 0 b) Halo points along the north and south polar boundaries are set as follows: T(i,p+1/2) = T(i,p-1/2) u(i,p+1) = u(i,p-1) v(i,p+1) = -v(i,p-1) where p + # is a halo row and p - # is a row within the computational domain. If there is no decomposition along the x-axis then the east-west boundaries are updated for global cyclic continuity. All other halo points are updated using MPP_UPDATE_DOMAINS.
None.


Environmental Protection Service Requests
selected out of
records.
Received
Closed
Weeks to close
Request kind
Request type
Request status
How received
Where received
Hour received
Day of week
Month
Moon phase
Request detail
(most recent 100)


[§634F-4] Rule of construction. This chapter shall be construed liberally to fully effectuate its purposes and intent. [L 2002, c 187, pt of §2]


Tell a bit more about which MOOCs (coursera, udacity) you attended recently and get your knowledge graphs generated immediately. These data will stay confidential, only you and the people you choose will have access to your knowledge graphs.


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A statement used to filter down the selected time series.
Each individual filtering field (filter
, key
, tags
, and hasTags
) may be empty.
At least one must be specified to make up a valid filter.
See filtering for details on how to build a filter.


press Z to respawn
press X to spawn enemies
Paused
IDENTIFY YOURSELF:
PRESS ENTER TO BEGIN
←
turn left - turn right
→
space
- brake
w
- fullscreen
c
- change view
p
- pause
duplicate turn keys are bound to home row for advanced manuevers,
eg. pressing D+F at once performs a quick 180º (useful for acceleration)
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users:
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--- layout: post authors: ["Peter Steinbach", "Cam Macdonell"] title: "Pulling In Those Left Behind" date: 2015-10-29 time: "11:30:00" tags: ["Community", "Opinion"] ---
A common challenge that arises before or during a workshop is that participants' prior expertise in programming or broadly speaking their abilities of using computers for science is distributed randomly. At best, this distribution peaks at the expectations of the instructor. Usually, this distribution is quite wide and thus a considerable portion of the participants do lack the necessary predispositions for the workshop level, or have a slower learning rate or simply are too shy to ask questions. I recently taught a follow-up workshop to the Software Carpentry (SWC) Novice material and struggled to keep the pace of teaching at a level so all learners would come along. Given the feedback on the SWC mailing list (see the original post), this problem occurs quite often. Thus, this blog post is a summary of the discussion initiated among fellow SWC instructors on how to pull in those learners again that fall behind or how to pace/design a course so that a minimal portion of learners fall behind.
Before running a course, it is very important to communicate the level of the course as precisely as possible to all those interested. This entails a list of topics to be covered (potentially even a under-advertised one so nobody is dissappointed), a pre-assessment form (along the lines of SWC pre-assessment), and potentially a piece of source code that illustrates the expected proficiency (April Wright). The latter being more important for intermediate learners. All of this should happen in close cooperation with the organizing host. Still, we have to expect a portion of the participants to be in a somewhat too-demanding course for their expertise (Greg Wilson) or who take "no prior computing skills" too literally (Amanda Charbonneau) and can barely type.
Another approach (Bill Mills, Thomas Ballinger) is to portion the material in slots of 30 minutes and have reassurance questions (multiple choice with partner discussion afterwards) as well as some exercises. The exercises should have one "baseline" problem dedicated to the expected level after the session, so that every learner is aware that he should tend to this first. There could/should also be at least one more problem for more advanced students as well.
Often, participants are left behind as they become out-of-sync with the live coding on the projector. Mike Jackson (SSI, UK) has come up with a simple tool to "stream" the terminal history to an online resource, so that participants can go back at their liking. The details are covered in an earlier SWC discusson (July 2014) or in the 19th workshop debriefing session. Other than that, there are terminal screen recorders available that might do the job as well: showterm.io, asciinema.org, ... If possible, the terminal cast or history should be included in the workshops webpage. David Dotson notes that he commits his jupyter notebook by pressing a custom keyboard shortcut which then triggers an automated push to github. As github renders jupyter notebooks, this has proven very worthwhile. David also notes that this could be done by cron-job launching every minute.
One common suggestion is to invite more advanced learners to step up if TAs are not available and help other participants that tend to fall behind easily (Titus Brown, Greg Wilson). In practise, this approach is often hard to implement by means of broadly asking the participants to step up (Peter Steinbach). Azalee Bostroem suggested that she plans to do an informal proficiency poll at the beginning of a course. Once more advanced learners have their hands up, she would emphasize to the not-so-advanced students that these people should be their resources in the forth-coming workshop and motivate novices to use them. Azalee and Thomas Ballinger also suggest explicit pair programming of advanced and novice learners after pairs have been assigned based on the abovementioned upfront poll. The novices might have more resources then to follow and ask questions rather than struggle with typing and coming along.
Further, some instructors suggested to hand out the materials up front so that learners can turn to that at any time. I personally switch online from the prepared materials to live-coding: the materials also contain the learning objectives which serve me as a guiding lighthouse during the process help guide my teaching and help learners understand where we are goingof course this way students were already in touch with them. Also, many instructors underlined the importance of reiteration, to rephrase taught concepts for those that didn't digest them the first time. Certainly though this is a two-side sword, Thomas Ballinger suggests an alternative mental approach on this: reiterating concepts in other words be done with the advanced in mind so they can fortify their knowledge from a different novices, while the novices get a chance to try again on the very same concept (I find this sentence confusing, isn't re-iteration intended to help the novices rather than expert learners?).
A lot of fellow instructors emphasized that a central danger is that learners falling behind have a tendency to become frustrated and eventually give up. It was pointed out by Karin Lagesan that being lost with the little things is to be accepted as long as learners keep track of the general concepts of SWC materials. After all, instructors cannot expect a scientist to turn a programmer during a course. Instead an atmosphere of frustration tolerance should be created (Karin Lagesan, Sam Penrose, David Martin), where learnes accept the fact that they'll often run into errors and build up a frustration resilient mindset.
To sum up, it is a given that learners will come to workshops with a variety of programming/computing experiencehave different preconditions when entering SWC (or any other) courses. We as instructors need to make sure that the pace of teaching suits the majority as the slower learning of a minority could and should never impact the learning success of the majority. However, clear communication upfront, constant feedback during the workshop, pair programming and well suited problems that are tailored to those present can help equalize the differences. Keeping the above suggestions in mind can ensure all learners get the most out of the workshop, which is the goal of Software Carpentry.


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Akira Toriyama
Akira Toriyama is a Japanese manga artist, game artist and character designer. Toriyama is regarded as one of the artists that changed the history of manga, as his works are highly influential and popular, particularly Dragon Ball, which many manga artists cite as a source of inspiration.
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Dr. Slump (1980-1984)
Dr. Slump launched Toriyama's career. It was awarded the Shogakukan Manga Award for shōnen and shōjo manga in 1981 and has sold over 35 million copies in Japan. The manga was released in North America by Viz Media from 2004 to 2009. Discotek Media released the first five films in North America in 2014.
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Dragon Ball (1984-1995)
Dragon Ball, is a Japanese media franchise created by Akira Toriyama in 1984. The initial manga, written and illustrated by Toriyama, was serialized in Weekly Shōnen Jump from 1984 to 1995, with the 519 individual chapters collected into 42 tankōbon volumes by its publisher Shueisha. Dragon Ball was initially inspired by the classical Chinese novel Journey to the West, as well as Hong Kong martial arts films. The series follows the adventures of the protagonist, Son Goku, from his childhood through adulthood as he trains in martial arts and explores the world in search of the seven orbs known as the Dragon Balls, which summon a wish-granting dragon when gathered. Along his journey, Goku makes several friends and battles a wide variety of villains, many of whom also seek the Dragon Balls.


RVFV Rift Valley fever Kedougou RVF RNA Senegal, surveillance Faye October acute blood febrile field human patient sampled samples


1: /* 2: * Copyright 2001-2009 Stephen Colebourne 3: * 4: * Licensed under the Apache License, Version 2.0 (the "License"); 5: * you may not use this file except in compliance with the License. 6: * You may obtain a copy of the License at 7: * 8: * http://www.apache.org/licenses/LICENSE-2.0 9: * 10: * Unless required by applicable law or agreed to in writing, software 11: * distributed under the License is distributed on an "AS IS" BASIS, 12: * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13: * See the License for the specific language governing permissions and 14: * limitations under the License. 15: */ 16: package org.joda.time.convert; 17: 18: /** 19: * A set of converters, which allows exact converters to be quickly 20: * selected. This class is threadsafe because it is (essentially) immutable. 21: * 22: * @author Brian S O'Neill 23: * @since 1.0 24: */ 25: class ConverterSet { 26: private final Converter[] iConverters; 27: 28: // A simple immutable hashtable: closed hashing, linear probing, sized 29: // power of 2, at least one null slot. 30: private Entry[] iSelectEntries; 31: 32: ConverterSet(Converter[] converters) { 33: // Since this is a package private constructor, we trust ourselves not 34: // to alter the array outside this class. 35: iConverters = converters; 36: iSelectEntries = new Entry[1 << 4]; // 16 37: } 38: 39: /** 40: * Returns the closest matching converter for the given type, or null if 41: * none found. 42: * 43: * @param type type to select, which may be null 44: * @throws IllegalStateException if multiple converters match the type 45: * equally well 46: */ 47: Converter select(Class<?> type) throws IllegalStateException { 48: // Check the hashtable first. 49: Entry[] entries = iSelectEntries; 50: int length = entries.length; 51: int index = type == null ? 0 : type.hashCode() & (length - 1); 52: 53: Entry e; 54: // This loop depends on there being at least one null slot. 55: while ((e = entries[index]) != null) { 56: if (e.iType == type) { 57: return e.iConverter; 58: } 59: if (++index >= length) { 60: index = 0; 61: } 62: } 63: 64: // Not found in the hashtable, so do actual work. 65: 66: Converter converter = selectSlow(this, type); 67: e = new Entry(type, converter); 68: 69: // Save the entry for future selects. This class must be threadsafe, 70: // but there is no synchronization.  This isn't 72: // likely to occur unless there is a high amount of concurrency. As 73: // time goes on, cache updates will occur less often, and the cache 74: // will fill with all the necessary entries. 75: 76: // Do all updates on a copy: slots in iSelectEntries must not be 77: // updated by multiple threads as this can allow all null slots to be 78: // consumed. 79: entries = (Entry[])entries.clone(); 80: 81: // Add new entry. 82: entries[index] = e; 83: 84: // Verify that at least one null slot exists! 85: for (int i=0; i<length; i++) { 86: if (entries[i] == null) { 87: // Found a null slot, swap in new hashtable. 88: iSelectEntries = entries; 89: return converter; 90: } 91: } 92: 93: // Double capacity and re-hash. 94: 95: int newLength = length << 1; 96: Entry[] newEntries = new Entry[newLength]; 97: for (int i=0; i<length; i++) { 98: e = entries[i]; 99: type = e.iType; 100: index = type == null ? 0 : type.hashCode() & (newLength - 1); 101: while (newEntries[index] != null) { 102: if (++index >= newLength) { 103: index = 0; 104: } 105: } 106: newEntries[index] = e; 107: } 108: 109: // Swap in new hashtable. 110: iSelectEntries = newEntries; 111: return converter; 112: } 113: 114: /** 115: * Returns the amount of converters in the set. 116: */ 117: int size() { 118: return iConverters.length; 119: } 120: 121: /** 122: * Copies all the converters in the set to the given array. 123: */ 124: void copyInto(Converter[] converters) { 125: System.arraycopy(iConverters, 0, converters, 0, iConverters.length); 126: } 127: 128: /** 129: * Returns a copy of this set, with the given converter added. If a 130: * matching converter is already in the set, the given converter replaces 131: * it. If the converter is exactly the same as one already in the set, the 132: * original set is returned. 133: * 134: * @param converter converter to add, must not be null 135: * @param removed if not null, element 0 is set to the removed converter 136: * @throws NullPointerException if converter is null 137: */ 138: ConverterSet add(Converter converter, Converter[] removed) { 139: Converter[] converters = iConverters; 140: int length = converters.length; 141: 142: for (int i=0; i<length; i++) { 143: Converter existing = converters[i]; 144: if (converter.equals(existing)) { 145: // Already in the set. 146: if (removed != null) { 147: removed[0] = null; 148: } 149: return this; 150: } 151: 152: if (converter.getSupportedType() == existing.getSupportedType()) { 153: // Replace the converter. 154: Converter[] copy = new Converter[length]; 155: 156: for (int j=0; j<length; j++) { 157: if (j != i) { 158: copy[j] = converters[j]; 159: } else { 160: copy[j] = converter; 161: } 162: } 163: 164: if (removed != null) { 165: removed[0] = existing; 166: } 167: return new ConverterSet(copy); 168: } 169: } 170: 171: // Not found, so add it. 172: Converter[] copy = new Converter[length + 1]; 173: System.arraycopy(converters, 0, copy, 0, length); 174: copy[length] = converter; 175: 176: if (removed != null) { 177: removed[0] = null; 178: } 179: return new ConverterSet(copy); 180: } 181: 182: /** 183: * Returns a copy of this set, with the given converter removed. If the 184: * converter was not in the set, the original set is returned. 185: * 186: * @param converter converter to remove, must not be null 187: * @param removed if not null, element 0 is set to the removed converter 188: * @throws NullPointerException if converter is null 189: */ 190: ConverterSet remove(Converter converter, Converter[] removed) { 191: Converter[] converters = iConverters; 192: int length = converters.length; 193: 194: for (int i=0; i<length; i++) { 195: if (converter.equals(converters[i])) { 196: return remove(i, removed); 197: } 198: } 199: 200: // Not found. 201: if (removed != null) { 202: removed[0] = null; 203: } 204: return this; 205: } 206: 207: /** 208: * Returns a copy of this set, with the converter at the given index 209: * removed. 210: * 211: * @param index index of converter to remove 212: * @param removed if not null, element 0 is set to the removed converter 213: * @throws IndexOutOfBoundsException if the index is invalid 214: */ 215: ConverterSet remove(final int index, Converter[] removed) { 216: Converter[] converters = iConverters; 217: int length = converters.length; 218: if (index >= length) { 219: throw new IndexOutOfBoundsException(); 220: } 221: 222: if (removed != null) { 223: removed[0] = converters[index]; 224: } 225: 226: Converter[] copy = new Converter[length - 1]; 227: 228: int j = 0; 229: for (int i=0; i<length; i++) { 230: if (i != index) { 231: copy[j++] = converters[i]; 232: } 233: } 234: 235: return new ConverterSet(copy); 236: } 237: 238: /** 239: * Returns the closest matching converter for the given type, but not very 240: * efficiently. 241: */ 242: private static Converter selectSlow(ConverterSet set, Class<?> type) { 243: Converter[] converters = set.iConverters; 244: int length = converters.length; 245: Converter converter; 246: 247: for (int i=length; --i>=0; ) { 248: converter = converters[i]; 249: Class<?> supportedType = converter.getSupportedType(); 250: 251: if (supportedType == type) { 252: // Exact match. 253: return converter; 254: } 255: 256: if (supportedType == null || (type != null && !supportedType.isAssignableFrom(type))) { 257: // Eliminate the impossible. 258: set = set.remove(i, null); 259: converters = set.iConverters; 260: length = converters.length; 261: } 262: } 263: 264: // Haven't found exact match, so check what remains in the set. 265: 266: if (type == null || length == 0) { 267: return null; 268: } 269: if (length == 1) { 270: // Found the one best match. 271: return converters[0]; 272: } 273: 274: // At this point, there exist multiple potential converters. 275: 276: // Eliminate supertypes. 277: for (int i=length; --i>=0; ) { 278: converter = converters[i]; 279: Class<?> supportedType = converter.getSupportedType(); 280: for (int j=length; --j>=0; ) { 281: if (j != i && converters[j].getSupportedType().isAssignableFrom(supportedType)) { 282: // Eliminate supertype. 283: set = set.remove(j, null); 284: converters = set.iConverters; 285: length = converters.length; 286: i = length - 1; 287: } 288: } 289: } 290: 291: // Check what remains in the set. 292: 293: if (length == 1) { 294: // Found the one best match. 295: return converters[0]; 296: } 297: 298: // Class c implements a, b {} 299: // Converters exist only for a and b. Which is better? Neither. 300: 301: StringBuffer msg = new StringBuffer(); 302: msg.append("Unable to find best converter for type \""); 303: msg.append(type.getName()); 304: msg.append("\" from remaining set: "); 305: for (int i=0; i<length; i++) { 306: converter = converters[i]; 307: Class<?> supportedType = converter.getSupportedType(); 308: 309: msg.append(converter.getClass().getName()); 310: msg.append('['); 311: msg.append(supportedType == null ? null : supportedType.getName()); 312: msg.append("], "); 313: } 314: 315: throw new IllegalStateException(msg.toString()); 316: } 317: 318: static class Entry { 319: final Class<?> iType; 320: final Converter iConverter; 321: 322: Entry(Class<?> type, Converter converter) { 323: iType = type; 324: iConverter = converter; 325: } 326: } 327: 328: }
| ID | Line | Type | Detected |
|---|---|---|---|
| 19197 | 36 | Replace a constant (Replace 16 with 0(INT)) | |
| 19198 | 36 | Replace a constant (Replace 16 with 17(INT)) | |
| 19199 | 36 | Replace a constant (Replace 16 with 15(INT)) | |
| 19201 | 51 | Replace a constant (Replace 0 with 1(INT)) | |
| 19202 | 51 | Replace a constant (Replace 0 with -1(INT)) | |
| 19204 | 51(1) | Replace a constant (Replace 1 with 2(INT)) | |
| 19205 | 51(1) | Replace a constant (Replace 1 with 0(INT)) | |
| 19200 | 51 | Negate jump condition (Replace IFNONNULL with IFNULL) | |
| 19206 | 51 | Replace arithmetic operator (Replace ISUB with IADD) | |
| 19207 | 51(1) | Replace arithmetic operator (Replace IAND with IOR) | |
| 19203 | 51 | Remove method call | |
| 19208 | 55 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19209 | 56 | Negate jump condition (Replace IF_ACMPNE with IF_ACMPEQ) | |
| 19210 | 59 | Negate jump condition (Replace IF_ICMPLT with IF_ICMPGE) | |
| 19212 | 60 | Replace a constant (Replace 0 with -1(INT)) | |
| 19211 | 60 | Replace a constant (Replace 0 with 1(INT)) | |
| 19213 | 66 | Remove method call | |
| 19214 | 79 | Remove method call | |
| 19216 | 85 | Replace a constant (Replace 0 with -1(INT)) | |
| 19215 | 85 | Replace a constant (Replace 0 with 1(INT)) | |
| 19217 | 85 | Negate jump condition (Replace IF_ICMPGE with IF_ICMPLT) | |
| 19218 | 86 | Negate jump condition (Replace IFNONNULL with IFNULL) | |
| 19220 | 95 | Replace a constant (Replace 1 with 0(INT)) | |
| 19219 | 95 | Replace a constant (Replace 1 with 2(INT)) | |
| 19221 | 95 | Replace arithmetic operator (Replace ISHL with ISHR) | |
| 19223 | 97 | Replace a constant (Replace 0 with -1(INT)) | |
| 19222 | 97 | Replace a constant (Replace 0 with 1(INT)) | |
| 19224 | 97 | Negate jump condition (Replace IF_ICMPGE with IF_ICMPLT) | |
| 19226 | 100 | Replace a constant (Replace 0 with 1(INT)) | |
| 19227 | 100 | Replace a constant (Replace 0 with -1(INT)) | |
| 19229 | 100(1) | Replace a constant (Replace 1 with 2(INT)) | |
| 19230 | 100(1) | Replace a constant (Replace 1 with 0(INT)) | |
| 19225 | 100 | Negate jump condition (Replace IFNONNULL with IFNULL) | |
| 19231 | 100 | Replace arithmetic operator (Replace ISUB with IADD) | |
| 19232 | 100(1) | Replace arithmetic operator (Replace IAND with IOR) | |
| 19228 | 100 | Remove method call | |
| 19233 | 101 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19234 | 102 | Negate jump condition (Replace IF_ICMPLT with IF_ICMPGE) | |
| 19236 | 103 | Replace a constant (Replace 0 with -1(INT)) | |
| 19235 | 103 | Replace a constant (Replace 0 with 1(INT)) | |
| 19237 | 125 | Replace a constant (Replace 0 with 1(INT)) | |
| 19238 | 125 | Replace a constant (Replace 0 with -1(INT)) | |
| 19239 | 125(1) | Replace a constant (Replace 0 with 1(INT)) | |
| 19240 | 125(1) | Replace a constant (Replace 0 with -1(INT)) | |
| 19241 | 125 | Remove method call | |
| 19243 | 142 | Replace a constant (Replace 0 with -1(INT)) | |
| 19242 | 142 | Replace a constant (Replace 0 with 1(INT)) | |
| 19244 | 142 | Negate jump condition (Replace IF_ICMPGE with IF_ICMPLT) | |
| 19246 | 144 | Negate jump condition (Replace IFEQ with IFNE) | |
| 19245 | 144 | Remove method call | |
| 19247 | 146 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19248 | 147 | Replace a constant (Replace 0 with 1(INT)) | |
| 19249 | 147 | Replace a constant (Replace 0 with -1(INT)) | |
| 19252 | 152 | Negate jump condition (Replace IF_ACMPNE with IF_ACMPEQ) | |
| 19250 | 152 | Remove method call | |
| 19251 | 152(1) | Remove method call | |
| 19254 | 156 | Replace a constant (Replace 0 with -1(INT)) | |
| 19253 | 156 | Replace a constant (Replace 0 with 1(INT)) | |
| 19255 | 156 | Negate jump condition (Replace IF_ICMPGE with IF_ICMPLT) | |
| 19256 | 157 | Negate jump condition (Replace IF_ICMPEQ with IF_ICMPNE) | |
| 19257 | 164 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19258 | 165 | Replace a constant (Replace 0 with 1(INT)) | |
| 19259 | 165 | Replace a constant (Replace 0 with -1(INT)) | |
| 19260 | 172 | Replace a constant (Replace 1 with 2(INT)) | |
| 19261 | 172 | Replace a constant (Replace 1 with 0(INT)) | |
| 19262 | 172 | Replace arithmetic operator (Replace IADD with ISUB) | |
| 19264 | 173 | Replace a constant (Replace 0 with -1(INT)) | |
| 19263 | 173 | Replace a constant (Replace 0 with 1(INT)) | |
| 19265 | 173(1) | Replace a constant (Replace 0 with 1(INT)) | |
| 19266 | 173(1) | Replace a constant (Replace 0 with -1(INT)) | |
| 19267 | 173 | Remove method call | |
| 19268 | 176 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19269 | 177 | Replace a constant (Replace 0 with 1(INT)) | |
| 19270 | 177 | Replace a constant (Replace 0 with -1(INT)) | |
| 19271 | 194 | Replace a constant (Replace 0 with 1(INT)) | |
| 19272 | 194 | Replace a constant (Replace 0 with -1(INT)) | |
| 19273 | 194 | Negate jump condition (Replace IF_ICMPGE with IF_ICMPLT) | |
| 19275 | 195 | Negate jump condition (Replace IFEQ with IFNE) | |
| 19274 | 195 | Remove method call | |
| 19276 | 196 | Remove method call | |
| 19277 | 201 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19278 | 202 | Replace a constant (Replace 0 with 1(INT)) | |
| 19279 | 202 | Replace a constant (Replace 0 with -1(INT)) | |
| 19280 | 218 | Negate jump condition (Replace IF_ICMPLT with IF_ICMPGE) | |
| 19281 | 222 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19283 | 223 | Replace a constant (Replace 0 with -1(INT)) | |
| 19282 | 223 | Replace a constant (Replace 0 with 1(INT)) | |
| 19284 | 226 | Replace a constant (Replace 1 with 2(INT)) | |
| 19285 | 226 | Replace a constant (Replace 1 with 0(INT)) | |
| 19286 | 226 | Replace arithmetic operator (Replace ISUB with IADD) | |
| 19287 | 228 | Replace a constant (Replace 0 with 1(INT)) | |
| 19288 | 228 | Replace a constant (Replace 0 with -1(INT)) | |
| 19289 | 229 | Replace a constant (Replace 0 with 1(INT)) | |
| 19290 | 229 | Replace a constant (Replace 0 with -1(INT)) | |
| 19291 | 229 | Negate jump condition (Replace IF_ICMPGE with IF_ICMPLT) | |
| 19292 | 230 | Negate jump condition (Replace IF_ICMPEQ with IF_ICMPNE) | |
| 19293 | 247 | Negate jump condition (Replace IFLT with IFGE) | |
| 19294 | 249 | Remove method call | |
| 19295 | 251 | Negate jump condition (Replace IF_ACMPNE with IF_ACMPEQ) | |
| 19296 | 256 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19297 | 256(1) | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19299 | 256(2) | Negate jump condition (Replace IFNE with IFEQ) | |
| 19298 | 256 | Remove method call | |
| 19300 | 258 | Remove method call | |
| 19301 | 266 | Negate jump condition (Replace IFNULL with IFNONNULL) | |
| 19302 | 266(1) | Negate jump condition (Replace IFNE with IFEQ) | |
| 19303 | 269 | Replace a constant (Replace 1 with 2(INT)) | |
| 19304 | 269 | Replace a constant (Replace 1 with 0(INT)) | |
| 19305 | 269 | Negate jump condition (Replace IF_ICMPNE with IF_ICMPEQ) | |
| 19307 | 271 | Replace a constant (Replace 0 with -1(INT)) | |
| 19306 | 271 | Replace a constant (Replace 0 with 1(INT)) | |
| 19308 | 277 | Negate jump condition (Replace IFLT with IFGE) | |
| 19309 | 279 | Remove method call | |
| 19310 | 280 | Negate jump condition (Replace IFLT with IFGE) | |
| 19311 | 281 | Negate jump condition (Replace IF_ICMPEQ with IF_ICMPNE) | |
| 19314 | 281(1) | Negate jump condition (Replace IFEQ with IFNE) | |
| 19312 | 281 | Remove method call | |
| 19313 | 281(1) | Remove method call | |
| 19315 | 283 | Remove method call | |
| 19316 | 286 | Replace a constant (Replace 1 with 2(INT)) | |
| 19317 | 286 | Replace a constant (Replace 1 with 0(INT)) | |
| 19318 | 286 | Replace arithmetic operator (Replace ISUB with IADD) | |
| 19319 | 293 | Replace a constant (Replace 1 with 2(INT)) | |
| 19320 | 293 | Replace a constant (Replace 1 with 0(INT)) | |
| 19321 | 293 | Negate jump condition (Replace IF_ICMPNE with IF_ICMPEQ) | |
| 19323 | 295 | Replace a constant (Replace 0 with -1(INT)) | |
| 19322 | 295 | Replace a constant (Replace 0 with 1(INT)) | |
| 19324 | 302 | Remove method call | |
| 19325 | 303 | Remove method call | |
| 19326 | 303(1) | Remove method call | |
| 19327 | 304 | Remove method call | |
| 19328 | 305 | Replace a constant (Replace 0 with 1(INT)) | |
| 19329 | 305 | Replace a constant (Replace 0 with -1(INT)) | |
| 19330 | 305 | Negate jump condition (Replace IF_ICMPGE with IF_ICMPLT) | |
| 19331 | 307 | Remove method call | |
| 19332 | 309 | Remove method call | |
| 19333 | 309(1) | Remove method call | |
| 19334 | 309(2) | Remove method call | |
| 19336 | 310 | Replace a constant (Replace 91 with 92(INT)) | |
| 19337 | 310 | Replace a constant (Replace 91 with 90(INT)) | |
| 19335 | 310 | Replace a constant (Replace 91 with 0(INT)) | |
| 19338 | 310 | Remove method call | |
| 19339 | 311 | Negate jump condition (Replace IFNONNULL with IFNULL) | |
| 19340 | 311 | Remove method call | |
| 19341 | 311(1) | Remove method call | |
| 19342 | 312 | Remove method call | |
| 19343 | 315 | Remove method call |


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/structure.20bug.3F.html ---
This fails to generate foo.mk.inj_eq
:
structure foo {α : Type} (β : α → α → Type) := (bar : Π (a : α), β a a)
Seems like a bug to me. Any thoughts on a workaround?
Also, is it still good form to report bugs on the leanprover/lean Github? They're unlikely to get fixed until Lean 4 but there could be some use in reporting them.
PS: This is a MWE so def foo.bar {α : Type} (β : α → α → Type) := Π (a : α), β a a
won't do for my use case.
I don't know the rules for what is guaranteed to be generated. If you get rec
then you can make everything else yourself. I think there is very little point filling a bug, it won't be fixed in Lean 3 and Lean 4 is a complete rewrite
What is the theorem you want?
I want the structure itself. *.mk.inj_eq
is an internal thing. I don't know how essential it is but I don't know how to prevent lean from trying to generate it.
I don't understand this question at all. I'm looking through the source code for any mention of mk.inj_eq
I see sigma.mk.inj_eq
but that is defined in the code base
Oh!
That's an odd one. This works, but I have no idea why.
structure foo' {α : Type} (β : α → α → Type) structure foo {α : Type} (β : α → α → Type) extends foo' β := (bar : Π (a : α), β a a)
The structure itself fails to compile!
I thought you were just complaining that an auxiliary lemma was not generated.
structure foo {α : Type} (β : α → α → Type) := (bar : Π (a : α), β a a) -- error /- failed to generate auxiliary lemma 'foo.mk.inj_eq' nested exception message: assumption tactic failed state: α : Type, β : α → α → Type, bar bar_1 : Π (a : α), β a a, h : {bar := bar} = {bar := bar_1} ⊢ {bar := bar} = {bar := bar_1} -/
man, that assumption tactic looked like it was going to work fine.
class foo {α : Type} (β : α → α → Type) := (bar : Π (a : α), β a a) -- works fine ;-)
Yep, it's disabled for classes, I just found this comment in lean/src/library/constructions/injective.h
:
Generate injectivity lemmas
*.inj
,*.inj_arrow
and*.inj_eq
.
Ifgen_inj_eq
is false, then*.inj_eq
lemma is not generated.
The*.inj_eq
lemma is used by the simplifier.
We don't generate it for classes because they can be expensive to generate and are rarely used in this case.
The bug is too deep in the code for me to figure out what's going on but I'd love to hear about it if someone knows.
@Rob Lewis Thanks! That's easier than I had imagined it would be.
The problem isn't specific to the structure command at all.
inductive foo' {α : Type} (β : α → α → Type) | mk : (Π (a : α), β a a) → foo'
The tactic that (I think) is failing is actually implemented in Lean. (https://github.com/leanprover/lean/blob/master/library/init/meta/interactive.lean#L1610) In principle one could poke around there and see what's going on. It's a little late for me to start messing with core though.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


{% extends "base.html" %} {% block content %}
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YouTube Playback Speed Control
This extention changes the playback speed for Youtube.
Alt + 0 = Set speed to Normal (1)
Alt + + = Increases playback speed by 0.25
Alt + - = Decreases playback speed by 0.25


Should I wear a shirt to work today?
It's
only
°C in
See more about Founders at
http://founders.as
By
@joshuakarjala
&
@stockmarr


Road to Hire Mongo Note App
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This is a yet-another compilation of the new MySQL 5.6 feature set. It is not a complete drill down. This list reflects what I believe to be the interesting new features user and usability -wise.
For example, I won't be listing InnoDB's split of kernel mutex. I'm assuming it can have a great impact on overall performance due to reducing lock contention; but usability-wise, this is very internal.
The complication is an aggregate of the many announcements and other complications published earlier on. See a reference at the end of this post.
Do note I am not using 5.6 as yet; it is in RC, not GA. I am mostly excited just to write down this list.
InnoDB
- Online ALTER TABLE: if there is one major new feature in 5.6 you would want to upgrade for, this would be it. Add columns, drop columns, rename columns, add indexes, drop indexes - now online, while your SELECT, INSERT, UPDATE and DELETE statements are running.
- Transportable tablespace files: copy+paste your_table.ibd files with FLUSH TABLE FOR EXPORT and ALTER TABLE ... IMPORT TABLESPACE.
- FULLTEXT: for many, the one thing holding them back from leaving MyISAM behind. Now available in InnoDB with same syntax as with MyISAM.
- Memcached API: access InnoDB data via memcahced protocol, and skip the SQL interface.
- User defined table location: place your tables in your pre-defined location. Place other tables elsewhere. This is something I've been asked about for ages.
Replication
- Global Transaction IDs: I'm still to fully understand the limitations: MyISAM and temporary tables make a mess; this could be a killer feature when it comes to replication: no more master log file, master log pos, relay master log file, relay log pos, read master log file, read master log pos (if I wake you up at 3:00am, will you be able to cite the difference?). Just one single unique identifier for each transaction in the binary log, so it's much easier for slaves to connect to master, or to switch over to replicate another server.
- Multi threaded slaves: with a thread-per-schema, and assuming complete isolation of schemas
- Delayed replication: a must-have, in my opinion, on any replication topology using 3-4 servers.
- Checksums: verify shipment of binary logs from master to slave by adding a checksum on log entries.
- Crash safe slaves: forget about master.info not syncing to disk. Now using InnoDB for that.
Partitioning
- Partition-to-table, table-to-partition: I've encountered the need for this in the past. In one case, it was the issue of backing up single partitions for archiving, then restoring particular partitions from the past into the existing table. Some Oracle users, upon hearing about the 5.1, 5.5 partition features, were wondering about this missing feature. Their words: "MySQL is still in the very early stages of managing partitions. As it grows it will have to include partition-to-table, as well as other already-standard-in-Oracle features". They were right.
- Reduced locking: don't you hate it when you partition by date, INSERT into the last partition, only to find out you actually acquired locks for all partitions? Hopefully this is gone now (hoping I'm not wrong on this?)
- Choose partitions in query à la SELECT * FROM my_table PARTITION (p7)
Query Execution Plan
- EXPLAIN for UPDATE, DELETE, INSERT: pretty sure everyone wanted that.
- Optimizing subqueries (the notorious WHERE IN (SELECT ...)): the "MySQL does WHAT with subqueries?!?!?!" invoking behavior of subquery execution is now hopefully met. No longer "execute the subquery for each row in the outer query".
- Index merge optimization: this optimization was rare, in my experience. The new improvements are expected to make it more common.
- EXPLAIN FORMAT=JSON: I like this kind of stuff. The Json format is much more verbose, and shows the tree-structure of the query execution plan. This would make for a great analysis tool for GUI editors!
PERFORMANCE_SCHEMA
- A gazillion more tables. I am yet to drill down into P_S. However I can already verify that 5.6 introduces a lot of new tables I've been longing for. Some are actually more fitting in INFORMATION_SCHEMA. A lot of new metadata tables. Will write more in the future.
Some of the above features already exists in earlier releases of Google Patches for MySQL, Percona Server and MariaDB. For example, global transaction IDs and binlog checksums first appeared three and a half years ago in Google Patches, and only now re-created in MySQL. Sometimes the community is far ahead of the MySQL development. But then Oracle does its thing and makes for a great release.
No doubt the above is an impressive list of enhancements to the server. Some make it a significant step into the "things are getting serious here" realm. I can do well with online alter table, auto replication recovery, execution plan improvements, and the many performance boosts not listed here. Not everything will work in all scenarios; but this makes for one release of MySQL I'm anxious to use.
References, chronologically DESC
- My personal list of new features in MySQL 5.6 - Mikael Ronström
- Failover and Flexible Replication Topologies in MySQL 5.6 - Sven
- Index merge annoyances fixed in MySQL 5.6 - Jørgen Løland
- MySQL Connect 2012 - Lars Thalmann
- MySQLConnect — Auditing, Online DDL, FK in Cluster and More - Lee Stigile
- My Thoughts About MySQL 5.6 - Sheeri K. Cabral
- Online ALTER TABLE in MySQL 5.6 - Oracle
- What's New in MySQL 5.6 Release Candidate - Oracle
- A summary of changes in MySQL 5.6 - Baron Schwartz
- What's New in MySQL 5.6 - Oracle


First let us add some data to test against
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Fabolous Quietly Drops Off "B.O.M.B.S. (Back On My Bullsh*t)" Single
Fab flies solo on this one.
by Erika MarieB.O.M.B.S.
Fabolous
Editor Rating: VERY HOTTTTT
User Rating: very hottttt - 94% (9)
We're sure that Fabolous's beat to his single "B.O.M.B.S." certainly wasn't intended for Adrienne Houghton. Just a day after The Real host shared with the world that the beat for Fab's 2010 hit "You Be Killin Em" was created by Ryan Leslie for her, Fab returns to the scene with a new track where the Brooklyn rapper delivers straightforward bars.
The rapper quietly released "B.O.M.B.S.," or "Back On My Bullsh*t," on Friday without giving any formal revelations about the track on social media. The single shows Fab holding things down solo without leaning on a feature, and while the rapper has, in the past, created hits with his fellow famous emcees, he reminds the world that he doesn't rely on assistance. Give it a spin and let us know what you think.


Applicable Skills
-
Skilled GIS programmer with experience in configuration management and process engineering.
-
Cultivated with the importance of maintaining the availability and high quality of spatial data for all users that rely on GIS products to direct resources and improve decision-making processes.
-
Skillful user and administrator of GIS applications, including ESRI ArcGIS (ArcMAP, ArcCatalog, ArcGIS Server).
-
Ability to understand complex tasks and provide high quality results within required timeframes.
-
Proficient at adapting to work structures requiring both team collaboration and individual initiative.
Software Experience
GIS Software Use and Administration:
ESRI - ArcGIS for Desktop (ArcMap, ArcGIS Pro, ArcCatalog, License Administrator), ArcGIS for Server (ArcSDE, REST API), Portal for ArcGIS + WebAdaptor, WebAppBuilder, OpenGEO (QGIS, GeoServer, PostGIS), GDAL/OGR, GrADS, ERDAS IMAGINE, Census Proprietary GIS (GATRES).
Programming/Development:
Python 2.7/3.4 (Standard Library, Anacondas; Pandas; Numpy; iPython, Arcpy, Matplotlib), Javascript (jQuery; Dojo; ArcGIS Javascript API; Node.js; Reveal.js), HTML5, CSS, Qt, Linux BASH/CSH, Windows batch programming, GitHub, SQL, VB
Database Administration:
PostgreSQL (ArcSDE); SQL Server; SQL Lite; MongoDB
Data Formats:
Local: Feature Class / Feature Dataset / File Geodatabase / Enterprise Geodatabase, Shapefiles, Raster, NetCDF, GRIB2, XML, CSV, JSON
Web: Feature Services / Map Services, OGC Standard Services (WMS, WFS, WCS), geoJSON, JSON
General:
LIIS, Microsoft Word, Visio, Powerpoint, Excel, Outlook, Access, Filemaker Pro, Flash MX, Adobe Illustrator, Photoshop, Acrobat, HTML, Autodesk Inventor. System administration of Linux, Windows, Mac.
Professional Experience
Capital One Financial Corporation – GIS Developer (July 2014 - Present)
Responsibilities
-
Develops back-end Python customized solutions to improve the productivity and capabilities of GIS analysis teams.
-
Develops front-end web applications via the ArcGIS JavaScript API customized solutions to disseminate geospatial analytical outputs to decision-makers in effective and evocative solutions.
-
Translates business logic into functioning programs that efficiently and reliably turn inputs into outputs needed for critical organization functions.
-
Expands the capabilities of the standard ESRI stack via development of Python toolboxes/add-ins and JavaScript applications.
-
Produces automated solutions for time-consuming and error-prone tasks ranging from mass production of￼mapping products to spatial data management.
-
Perform database administration of a PostgreSQL enterprise geodatabase hosting authoritative data that is documented and automatically refreshed.
Accomplishments
-
Delivered a best-in-class set of Location Analytics customized tools that enables decision makers to efficiently and accurately answer questions related to spatial relationships that affect long-term business decisions.
-
Developed applications to easily query, display, analyze, and plot all spatial data available to Capital One for use in leadership meetings where decisions that affect the future of the company are made.
-
Automated workflows that released crucial team resources for other tasks.
-
Developed complex GIS packages to produce mass production of spatial analysis, specialized outputs, and supporting analytical documentation.
-
Gathered feedback and input from field users of web applications for improvement of web-based GIS data management and collection.
Skills Applied
-
Python 2.7: Arcpy; Python standard library; customized library of functions for Capital One workflows
-
Javascript: jQuery, Dojo, Node.js, Reveal.js; HTML; CSS
-
Scientific data computing packages (Anacondas - Pandas, Numpy, matplotlib) in the development and research of improved predictive spatial analysis tools.
-
Experienced with the use of a variety of spatial data formats, including: File Geodatabase feature classes, KML/KMZ, WMS, WFS, and WCS.
Innovim LLC – GIS Developer/Analyst at NOAA Climate Prediction Center (November 2013 – July 2014)
Responsibilities
-
Developed scripted processing and user editing workflows that allow the manipulation of climate data into spatial GIS formats for the benefit of the public and enhanced decision making.
-
Maintained and administered the GIS programs and processing workflows that provide operational spatial products for United States government agencies.
-
Responsible for geoprocessing and visualization of spatial datasets for the USDA Weekly Weather and Crop Bulletin for the Joint Agricultural Weather Facility (JAWF) products.
-
Created custom Python geoprocessing and publishing tools in the ArcGIS environment to assist in Meteorologist use of GIS programs.
-
Maintained python and linux shell scripts that handle data workflows from intake to the center to dissemination to the public.
-
Provided administrative and troubleshooting assistance for a deployment of ArcGIS for Server 10.1 in Linux RHEL6.
-
Participated in NOAA large-scale GIS enterprise research and development meetings; discussing integration of a variety of data processing initiatives into a single enterprise solution.
Skills Applied
-
Python 2.7 programming and Arcpy geoprocessing functions to develop complex, automated workflows that process and allow manipulation of spatial data for NOAA operational products.
-
Experienced with the use of a variety of spatial data formats, including: Shapefiles, Raster/Vector, File Geodatabase feature classes, raster mosaics, KML/KMZ, and OGC Standard Services (WMS, WFS, WCS).
-
Provides professional documentation of operational GIS programs, including user interaction guidelines and standard operational procedures for maintenance of each program.
ASRC Space and Defense – POES Ground System Engineer at NOAA Satellite Operations Facility (July 2013 – Oct. 2013)
Responsibilities
-
Supported POES ground system engineering functions to include Wallops and Fairbanks CDA stations, NASA to NOAA interfaces; telemetry and command systems; and analysis support systems.
-
Maintained the quality and availability of POES satellite products for NOAA’s data processing organizations.
-
Assisted in the integration, regression testing, and final implementation of new or upgraded ground systems into satellite operations.
-
Monitored ground system performance and responded to anomalies during on and off duty hours.
-
Developed and administered processes and databases that enable coordination among operations personnel.
-
Maintained anomaly and satellite scheduled events database for controllers and NOAA Engineering.
-
Participated in NOAA large-scale GIS enterprise research and development meetings; discussing integration of a variety of data processing initiatives into a single enterprise solution.
ASRC Aerospace – GIS Data Configuration Management at NOAA Satellite Operations Facility (Sept. 2012 – July 2013)
Responsibilities
-
Applied the ITIL configuration management practices of planning, identification, control, status accounting, and auditing to mission operations configured items for the POES, GOES, and NPP missions.
-
Used process engineering methods that standardized engineering processes into stable, repeatable, and productive sequences of actions, helping produce desired results from limited resources.
-
Designed spatial process flow diagrams and metrics that identified and mitigated operational issues.
-
Conducted management-level meetings to identify, analyze, and communicate process improvement initiatives that save the organization time, resources, and reduce operational risk.
ASRC Research and Technology Solutions - GIS Technician at U.S. Census Bureau (October 2011 – August 2012)
Responsibilities
-
Performed analysis and technical corrections of Census TIGER/line files using remotely sensed data.
-
Maintained and developed geospatial databases for several GIS projects and applications.
-
Completed QA/QC of boundary correction GIS work by ASRC staff for Census spatial data.
-
Created daily status reports detailing progress in a variety of GIS projects for operation leads.
-
Achieved fastest and highest spatial cell completion count for GIS staff in quality control verification project.
-
Trained new ASRC staff on ArcGIS, GATRES, and Access Database use for Census GIS projects.
Alachua County Environmental Protection Department - GIS Specialist (January 2009 – December 2009)
Responsibilities
-
Provided planners with geostatistical data of land use changes in conservation easements.
-
Participated in government meetings that discussed land use and urban planning policy.
-
Georeferenced engineering blueprints for digital storage of land-use data.
-
Gathered data on the field using Trimble GPS unit for accurate assessment of land-use change.
Education and Academic Experience
University of Florida (August 2005 – August 2009)
- Bachelor of Arts - Geography, Concentration: GIS, Remote Sensing, Urban Planning
- Degree GPA of 3.75; Dean’s List recognition every semester from 2007-2009.
- Created an award-winning project determining the most advantageous locations for an expansion of the Jacksonville Skyway metrorail using Landsat remotely sensed data and ArcGIS.
- Designed several economic, demographic, and environmental projects that assisted government decision-making for application of limited resources.
- Invited to present GIS Development best practices at 2016 Geographic Symposium.
Relevant Links
USDA/NOAA - Joint Agricultural Weather Facility
NOAA Climate Prediction Center - JAWF Regional Monitoring
NOAA Climate Prediction Center GIS Data


(from Twitter)
del.icio.us should have a ‘sage’ feature.
A Goal
I’m always far behind on listening to music—at the time I write this, I have 8523 tracks that haven’t been played. This situation only ever seems to get worse, but I haven’t been able to come up with a reasonable and attainable solution. I think I may have come up with just such a thing yesterday, though.
I’ve called my solution (more of a goal, really) ‘1000’ because of what it entails: playing a 1000 tracks each week, 250 of which have not been previously played (either number can be pushed higher.) Of course, even if I were to add no new tracks and to hold at the minimum rate, I’d be at this for thirty-four weeks.
Given that I decided on this policy part-way through Monday, I’m at something of a disadvantage; I’ve thus far played 188 songs, 116 of which are new.


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START_NT
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| Constructor Summary | |
(package private) |
CodeGenerator_sparc.State()
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label(LirNode t,
CodeGenerator_sparc.State[] kids)
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nontermName(int nt)
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record(int nt,
int cost1,
int cost2,
int rule)
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toString()
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
static final int NNONTERM
static final int NRULES
static final int START_NT
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static final int NT_regh
static final int NT_regb
static final int NT_regf
static final int NT_regd
static final int NT_void
static final int NT_xregb
static final int NT_xregh
static final int NT_xregl
static final int NT_xregq
static final int NT_xregf
static final int NT_xregd
static final int NT_addr
static final int NT_con13
static final int NT_negcon13
static final int NT_fun
static final int NT_asmcon
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static final int NT_sta
static final int NT_con5
static final int NT_rc
static final int NT_rcs
static final int NT__1
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static final int NT__3
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static final int NT__5
static final int NT__6
static final int NT__7
static final int NT__8
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static final int NT_label
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final int[] rule
final int[] cost1
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| Constructor Detail |
CodeGenerator_sparc.State()
| Method Detail |
java.lang.String nontermName(int nt)
void record(int nt, int cost1, int cost2, int rule)
void label(LirNode t, CodeGenerator_sparc.State[] kids)
public java.lang.String toString()
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Realme Dizo GoPods, Dizo GoPods Neo Launched in India as Rebranded Realme Buds Air 2, Buds Q2
Realme Dizo GoPods, Dizo GoPods Neo have IPX5 water resistance and come with transparency mode.
Read More >>Realme Dizo GoPods, Dizo GoPods Neo have IPX5 water resistance and come with transparency mode.
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Read More >>


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We are a newly formed business with particular momentum behind it based on perceived demand for your product or service. Until the business gets off the ground, a startup is often financed by its founders and may attempt to attract outside investment.
Startups must also consider where they'll do business and their legal structure. Startups are companies or ventures that are focused around a single product or service that the founders want to bring to market. These companies typically don't have a fully developed business model and, more crucially, lack adequate capital to move onto the next phase of business. Most of these companies are initially funded by their founders.
AR Managemet Corporation is a company or project undertaken by an entrepreneur to seek, develop, and validate a scalable business model.While entrepreneurship refers to all new businesses, including self-employment and businesses that never intend to become registered, startups refer to new businesses that intend to grow large beyond the solo founder.
At the beginning, startups face high uncertainty and have high rates of failure, but a minority of them do go on to be successful and influential.Models behind startups presenting as ventures are usually associated with design science.Design science uses design principles considered to be a coherent set of normative ideas and propositions to design and construct the company's backbone.A key principle of startup is to validate the market need before providing a customer-centric product or service to avoid business ideas with weak demand. Market validation can be done in a number of ways, including surveys, cold calling, email responses, word of mouth or through sample research.
Design thinking is used to understand the customers' need in an engaged manner. Design thinking and customer development can be biased because they do not remove the risk of bias because the same biases will manifest themselves in the sources of information, the type of information sought, and the interpretation of that information. In startups, many decisions are made under uncertainty, and hence a key principle for startups is to be agile and flexible.Startups may form partnerships with other firms to enable their business model to operate. To become attractive to other businesses, startups need to align their internal features, such as management style and products with the market situation.
With the key learnings from market validation, design thinking, and lean startup,We can design a business model. However it's important not to dive into business models too early before there is sufficient learning on market validation.


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TRAINING PROGRAMS
nutrition
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This service is used for fetching emails on a email server. So the server that has this port open is probably an email-server, and other clients on the network (or outside) access this server to fetch their emails.
telnet <IP_ADDRESS> 110
USER<EMAIL_ADDRESS>PASS admin
# List all emails
list
# Retrive email number 5, for example
retr 5


| tidy.zoo {broom} | R Documentation |
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'zoo' tidy(x, ...)
x |
A |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble()
with columns:
index |
Index (i.e. date or time) for a 'ts' or 'zoo' object. |
series |
Name of the series (present only for multivariate time series). |
value |
The value/estimate of the component. Results from data reshaping. |
Other time series tidiers:
tidy.acf()
,
tidy.spec()
,
tidy.ts()
library(zoo) library(ggplot2) set.seed(1071) # data generated as shown in the zoo vignette Z.index <- as.Date(sample(12450:12500, 10)) Z.data <- matrix(rnorm(30), ncol = 3) colnames(Z.data) <- c("Aa", "Bb", "Cc") Z <- zoo(Z.data, Z.index) tidy(Z) ggplot(tidy(Z), aes(index, value, color = series)) + geom_line() ggplot(tidy(Z), aes(index, value)) + geom_line() + facet_wrap(~series, ncol = 1) Zrolled <- rollmean(Z, 5) ggplot(tidy(Zrolled), aes(index, value, color = series)) + geom_line()


General guideline: Developers participating in the projects are expected to enable a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.
These are some of the standards everyone is expected to follow:
Using welcoming and inclusive language
Being respectful of differing viewpoints and experiences
Gracefully accepting constructive criticism
Focusing on what is best for the community
Conflict is not bad, healthy debate and disagreement often yields positive results. However, it is unacceptable to be disrespectful or to engage in behavior that violates the project’s code of conduct. Complaints regarding violation of the code of conduct will be looked at seriously. If a person is found guilty of violating the programme's conduct, be it, mentor or developer, he/she will be banned from the programme with immediate effect.


Cards
Play the simple game war with cards
Welcome to the inner dimension
The inner dimension is a different reality. It is within ourselves. It is infinite along with other realities. It can be touched through meditation and mindfulness. It is always there.
This site is about bringing creativity from the inner dimension into this reality. This includes music, art, and games.


Train a model to predict y-values for a cubic equation using a single layer perceptron
Description
This model learns to generate a curve to match a polynomial equation. It uses a single layer perceptron with 4 weights.
Data Generation
We generate training data using the following function and co-efficients. You can edit the co-efficients to generate new data and fit the model.
Training Parameters
Model Output
We plot a curve using y-coordinate predictions the model has learned to make for each x-coordinate.


Los Angeles Los Angeles is a trend-setting global metropolis with a fascinating history and a rich cultural heritage. LA's cultural attractions are second to none, whether it’s the Space Shuttle Endeavour, Walt Disney Concert Hall, the Getty Center or art galleries and urban art. Book Now
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KNIP: Komodo Notary Improvement Proposal 0.0.1
To shift KMD NN elections towards a more meritocratic and less simplistic model, the following proposals are made:
I. Notary Bonus:
All notaries from the previous year get 5,000 Vote2019; provided that:
1. they cannot vote for themselves
2. their votes are public
3. only 50% of their votes can go to notaries from the previous year. The remaining 50% of votes must be cast on new candidates.
4. failure to follow the above rules would nullify a notary's votes
II. Active KMD community votes
To qualify as an active member, (non-notary) members must navigate to the #Vote2019 channel of the KMD discord and answer a series of questions about KMD. Those that complete the test and provide a valid address get 3,000 vote tokens.
III. KMD Hodler votes
All hodlers of KMD automatically get Vote2019 tokens on the basis of an exchanged rate of 100 KMD = 1 Vote2019
IV. Candidacy limitations
Ideally there would be 64 separate NN run buy 64 qualified individual notaries. To achieve this goal, notary candidates may only run for one region. Should there not be enough qualified candidates on the first round, a second round of voting should be held. In the second round, existing notaries may run for a second spot. 1 notary should be limited to a max of 2 nodes. Additionally, candidates should be automatically disqualified if they share personal or family relations to elected notaries. "Gifting" votes to third parties is forbidden and would likewise result in disqualification.
(edited)


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Students who watch a well-made promo video are 5X more likely to enroll in your course. We've seen that statistic go up to 10X for exceptionally awesome videos. Learn how to make yours awesome!


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Deploy your mvp in minutes, not days. WT offers you a a wide selection swapable sections for your landing page.
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