This was my first experience with shrooms. I haven't done any drug in the past 8 months and my friend picked up 2 ounces of mushrooms, so I figured I'd try some. I took 2 caps at about 11:00pm. I was with 3 of my best friends (Z, J and P) who ate about an eighth at that time. I felt very happy and began to think about very complicated things.  At around 12:00am I'd look at something and wonder where it was made, then wonder who created it, then who created that person and so on.
I went outside by myself. Bad mistake. I began walking on the ground and I saw lovely patterns in the grass. I remember saying 'Wow' several times. I opened the door and suggested that my friends join me outside so they can see the patterns too. They didn't want to. I suddenly decided to go for a walk. I approached the fence and said 'The world is nothing' for what reason I don't know. I think it was me coming to the realization that I am just a number in this world. I open the door and go.
I walk down the path and keep hearing things although nothing is there. I'll hear a chain rustle and stop to see if someone was walking their dog. I remember saying 'Do I have to piss?' several times, because I had a strange feeling in my bladder, but could not tell if it was the urge to urinate. I got about 100 yards from the back yard. I suddenly had a horrible feeling. I can't really explain it, but everything I was thinking about would suddenly absolutely HORRIFY me. I sprinted back to the house.
I got inside and said 'I shouldn't have gone outside.' I was breathing very hard and J told me to 'stop freaking out.' I looked at P who was a very experienced shroom user and he sort of nodded at me like 'I know what you're about to go through.' That got me EXTREMELY scared. I layed on the couch and kept tossing and turning trying to rid the bad thoughts from my head. Someone would talk and a word would trigger a horrible thought. If anyone talked, I would tell them not to talk about bad things.
 I decided to go upstairs and watch Lethal Weapon 3 with J. It's a funny movie, so I figured I would start feeling better. The TV was just a box of horribly moving colors. I couldn't focus on it. I turned around on the couch and tried to go to sleep. I'd see images of beautiful paintings that would react to the music in Lethal Weapon. Then they would turn into a child getting beaten by their parent. I would feel that child's pain. I remember thinking 'Was that me? No, my childhood was good.'
The images got so severe, I thought they were going to last forever. I was seriously considering killing myself to get away from the thoughts. I believe in God, but I didn't for 2 hours. I strongly believed that if I killed myself, it HAD to be better than what I was going through right then. I check my watch. 1:00am. I try to remind myself that sighing deeply brings me back to reality for a few seconds so I can regain my sanity. I forget that notion quickly as the horrific images ensue.
I was literally insane for 4 hours. I had lost my mind.  My body was about 4000 miles away compared to the images that were in my face.   I hated watching it so much. I couldn't get away from it. I remember thinking to myself 'When you see the morning news, it'll have worn off by then.' Then I'd see the faces of the news casters. Then they'd stand up and start yelling at me. Their faces would start drooping and they would rip the skin off of it.
I'd see a beautiful, flowing image that lasted for a few seconds, then it would start turning bland. I'd know then that I was about to see some horrifying images. If you've ever seen being John Malkovich when John Cusack gets trapped in that little girl's head at the end, that's how I felt for about 3 hours. Helpless.
4:00am came around in what felt like 36 hours later. I knew I was starting to feel better and had trouble remembering all the things I was thinking about. What I remember I wrote here. I started to calm down. It's about 12 hours since that experience and I feel a lot better. It's kind of hard to forget about what I was seeing, but it will go in time. I'll hopefully be ok. I think I will be.
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.


DO NOT READ THIS FILE ON GITHUB, GUIDES ARE PUBLISHED ON https://guides.rubyonrails.org.
Working with JavaScript in Rails
This guide covers the options for integrating JavaScript functionality into your Rails
application,
including the options you have for using external JavaScript packages and how to use Turbo with
Rails
.
After reading this guide, you will know:
- How to use
Rails
without the need for a Node.js, Yarn, or a JavaScript bundler. - How to create a new
Rails
application using import maps, esbuild, rollup, or webpack to bundle your JavaScript. - What Turbo is, and how to use it.
- How to use the Turbo HTML helpers provided by
Rails
.
Import Maps
Import maps let you import JavaScript modules using
logical names that map to versioned files directly from the browser. Import maps are the default
from Rails
7, allowing anyone to build modern JavaScript applications using most NPM packages
without the need for transpiling or bundling.
Applications using import maps do not need Node.js or
Yarn to function. If you plan to use Rails
with importmap-rails
to
manage your JavaScript dependencies, there is no need to install Node.js or Yarn.
When using import maps, no separate build process is required, just start your server with
bin/rails server
and you are good to go.
Installing importmap-rails
Importmap for Rails
is automatically included in Rails
7+ for new applications, but you can also install it manually in existing applications:
$ bin/bundle add importmap-rails
Run the install task:
$ bin/rails importmap:install
Adding NPM Packages with importmap-rails
To add new packages to your import map-powered application, run the bin/importmap pin
command
from your terminal:
$ bin/importmap pin react react-dom
Then, import the package into application.js
as usual:
import React from "react"
import ReactDOM from "react-dom"
Adding NPM Packages with JavaScript Bundlers
Import maps are the default for new Rails applications, but if you prefer traditional JavaScript bundling, you can create new Rails applications with your choice of esbuild, webpack, or rollup.js.
To use a bundler instead of import maps in a new Rails application, pass the —javascript
or -j
option to rails new
:
$ rails new my_new_app --javascript=webpack
OR
$ rails new my_new_app -j webpack
These bundling options each come with a simple configuration and integration with the asset pipeline via the jsbundling-rails gem.
When using a bundling option, use bin/dev
to start the Rails server and build JavaScript for
development.
Installing Node.js and Yarn
If you are using a JavaScript bundler in your Rails application, Node.js and Yarn must be installed.
Find the installation instructions at the Node.js website and verify it’s installed correctly with the following command:
$ node --version
The version of your Node.js runtime should be printed out. Make sure it’s greater than 8.16.0
.
To install Yarn, follow the installation instructions at the Yarn website. Running this command should print out the Yarn version:
$ yarn --version
If it says something like 1.22.0
, Yarn has been installed correctly.
Choosing Between Import Maps and a JavaScript Bundler
When you create a new Rails application, you will need to choose between import maps and a JavaScript bundling solution. Every application has different requirements, and you should consider your requirements carefully before choosing a JavaScript option, as migrating from one option to another may be time-consuming for large, complex applications.
Import maps are the default option because the Rails team believes in import maps' potential for reducing complexity, improving developer experience, and delivering performance gains.
For many applications, especially those that rely primarily on the Hotwire stack for their JavaScript needs, import maps will be the right option for the long term. You can read more about the reasoning behind making import maps the default in Rails 7 here.
Other applications may still need a traditional JavaScript bundler. Requirements that indicate that you should choose a traditional bundler include:
- If your code requires a transpilation step, such as JSX or TypeScript.
- If you need to use JavaScript libraries that include CSS or otherwise rely on Webpack loaders.
- If you are absolutely sure that you need tree-shaking.
- If you will install Bootstrap, Bulma, PostCSS, or Dart CSS through the cssbundling-rails gem. All options provided by this gem except Tailwind and Sass will automatically install
esbuild
for you if you do not specify a different option inrails new
.
Turbo
Whether you choose import maps or a traditional bundler, Rails ships with Turbo to speed up your application while dramatically reducing the amount of JavaScript that you will need to write.
Turbo lets your server deliver HTML directly as an alternative to the prevailing front-end frameworks that reduce the server-side of your Rails application to little more than a JSON API.
Turbo Drive
Turbo Drive speeds up page loads by avoiding full-page teardowns and rebuilds on every navigation request. Turbo Drive is an improvement on and replacement for Turbolinks.
Turbo Frames
Turbo Frames allow predefined parts of a page to be updated on request, without impacting the rest of the page’s content.
You can use Turbo Frames to build in-place editing without any custom JavaScript, lazy load content, and create server-rendered, tabbed interfaces with ease.
Rails provides HTML helpers to simplify the use of Turbo Frames through the turbo-rails gem.
Using this gem, you can add a Turbo Frame to your application with the turbo_frame_tag
helper
like this:
<%= turbo_frame_tag dom_id(post) do %>

<%= link_to post.title, post_path(post) %>

<% end %>
Turbo Streams
Turbo Streams deliver page changes as fragments of
HTML wrapped in self-executing <turbo-stream>
elements. Turbo Streams allow you to broadcast
changes made by other users over WebSockets and update pieces of a page after a form submission
without requiring a full page load.
Rails provides HTML and server-side helpers to simplify the use of Turbo Streams through the turbo-rails gem.
Using this gem, you can render Turbo Streams from a controller action:
def create
@post = Post.new(post_params)
respond_to do |format|
if @post.save
format.turbo_stream
else
format.html { render :new, status: :unprocessable_entity }
end
end
end
Rails will automatically look for a .turbo_stream.erb
view file and render that view when found.
Turbo Stream responses can also be rendered inline in the controller action:
def create
@post = Post.new(post_params)
respond_to do |format|
if @post.save
format.turbo_stream { render turbo_stream: turbo_stream.prepend('posts', partial: 'post') }
else
format.html { render :new, status: :unprocessable_entity }
end
end
end
Finally, Turbo Streams can be initiated from a model or a background job using built-in helpers. These broadcasts can be used to update content via a WebSocket connection to all users, keeping page content fresh and bringing your application to life.
To broadcast a Turbo Stream from a model combine a model callback like this:
class Post < ApplicationRecord
after_create_commit { broadcast_append_to('posts') }
end
With a WebSocket connection set up on the page that should receive the updates like this:
<%= turbo_stream_from "posts" %>
Replacements for Rails/UJS Functionality
Rails 6 shipped with a tool called UJS (Unobtrusive JavaScript). UJS allows
developers to override the HTTP request method of
tags, to add confirmation
dialogs before executing an action, and more. UJS was the default before Rails
7, but it is now recommended to use Turbo instead.
Method
Clicking links always results in an HTTP GET request. If your application is
RESTful, some links are in fact
actions that change data on the server, and should be performed with non-GET
requests. The data-turbo-method
attribute allows marking up such links with
an explicit method such as "post", "put", or "delete".
Turbo will scan
tags in your application for the turbo-method
data attribute and use the
specified method when present, overriding the default GET action.
For example:
<%= link_to "Delete post", post_path(post), data: { turbo_method: "delete" } %>
This generates:
Delete post
An alternative to changing the method of a link with data-turbo-method
is to use Rails
button_to
helper. For accessibility reasons, actual buttons and forms are preferable for any
non-GET action.
Confirmations
You can ask for an extra confirmation from the user by adding a data-turbo-confirm
attribute on links and forms. On link click or form submit, the user will be
presented with a JavaScript confirm()
dialog containing the attribute's text.
If the user chooses to cancel, the action doesn't take place.
For example, with the link_to
helper:
<%= link_to "Delete post", post_path(post), data: { turbo_method: "delete", turbo_confirm: "Are you sure?" } %>
Which generates:
Delete post
When the user clicks on the "Delete post" link, they will be presented with an "Are you sure?" confirmation dialog.
The attribute can also be used with the button_to
helper, however it must be
added to the form that the button_to
helper renders internally:
<%= button_to "Delete post", post, method: :delete, form: { data: { turbo_confirm: "Are you sure?" } } %>
Ajax Requests
When making non-GET requests from JavaScript the X-CSRF-Token
header is required.
Without this header requests won't be accepted by Rails.
NOTE: This token is required by Rails to prevent Cross-Site Request Forgery (CSRF) attacks. Read more in the security guide.
Rails Request.JS encapsulates the logic
of adding the request headers that are required by Rails. Just
import the FetchRequest
class from the package and instantiate it
passing the request method, url, options, then call await request.perform()
and do what do you need with the response.
For example:
import { FetchRequest } from<EMAIL_ADDRESS>....
async myMethod () {
const request = new FetchRequest('post', 'localhost:3000/posts', {
body: JSON.stringify({ name: 'Request.JS' })
})
const response = await request.perform()
if (response.ok) {
const body = await response.text
}
}
When using another library to make Ajax calls, it is necessary to add the
security token as a default header yourself. To get the token, have a look at
<meta name='csrf-token' content='THE-TOKEN'>
tag printed by
csrf_meta_tags
in your application view. You could do something like:
document.head.querySelector("meta[name=csrf-token]")?.content


Welcome to
Green Room Brewing
We do not support underage drinking.
By viewing this site, you acknowledge that you are over the age of 21.
Green Room Brewing is Jacksonville Beach's first microbrewery! Our goal is to bring great, locally made beer to the Beaches and beyond. We brew beers that interest the casual drinker and the beer aficionado.
| All Mondays | Closed! |
| Tue to Thur | 4pm to 12am |
| Fridays | 4pm to 2am |
| Saturdays | 12pm to 2am |
| Sundays | 12pm to 10pm |
Feel free to bring that furry friend of yours to the bar! Just make sure that the pup has a leash and can play well with others.
A great beer can complement a good meal. However, we don't serve food, so feel free to bring your own! A binder of menus of restaurants that deliver is available at the bar!
Click/Tap on a beer for more information


Prepared by Rev Bryan Peters, a minister of the gospel in the Presbyterian Reformed Church. Published with permission.
Article 1 WE AFFIRM that God has designed marriage to be a covenantal, sexual, procreative, lifelong union of one man and one woman, as husband and wife, and is meant to signify the covenant love between Christ and his bride the church. WE DENY that God has designed marriage to be a homosexual, polygamous, or polyamorous relationship. We also deny that marriage is a mere human contract rather than a covenant made before God.
WCF XXIV.I Marriage is to be between one man and one woman: neither is it lawful for any man to have more than one wife, nor for any woman to have more than one husband at the same time.
WCF XXIV.II Marriage was ordained for the mutual help of husband and wife; for the increase of mankind with a legitimate issue, and of the Church with an holy seed; and for preventing of uncleanness.
WLC Q. 20. What was the providence of God toward man in the estate in which he was created? A. The providence of God toward man in the estate in which he was created, was the placing him in paradise, appointing him to dress it, giving him liberty to eat of the fruit of the earth; putting the creatures under his dominion, and ordaining marriage for his help; affording him communion with Himself; instituting the Sabbath; entering into a covenant of life with him, upon condition of personal, perfect, and perpetual obedience, of which the tree of life was a pledge; and forbidding to eat of the tree of knowledge of good and evil, upon the pain of death.
Article 2 WE AFFIRM that God’s revealed will for all people is chastity outside of marriage and fidelity within marriage. WE DENY that any affections, desires, or commitments ever justify sexual intercourse before or outside marriage; nor do they justify any form of sexual immorality.
WLC Q. 138. What are the duties required in the seventh commandment? A. The duties required in the seventh commandment are, chastity in body, mind, affections, words, and behavior; and the preservation of it in ourselves and others; watchfulness over the eyes and all the senses; temperance, keeping of chaste company, modesty in apparel; marriage by those that have not the gift of continency, conjugal love, and cohabitation; diligent labor in all our callings; shunning all occasions of uncleanness, and resisting temptations thereunto.
WLC Q. 139. What are the sins forbidden in the seventh commandment? A. The sins forbidden in the seventh commandment, besides the neglect of the duties required, are, adultery, fornication, rape, incest, sodomy, and all unnatural lusts; all unclean imaginations, thoughts, purposes, and affections; all corrupt or filthy communications, or listening thereunto; wanton looks; impudent or light behavior; immodest apparel; prohibiting of lawful, and dispensing with unlawful marriages; allowing, tolerating, keeping of stews, and resorting to them; entangling vows of single life; undue delay of marriage; having more wives or husbands than one at the same time; unjust divorce or desertion; idleness, gluttony, drunkenness, unchaste company; lascivious songs, books, pictures, dancing, stage plays; all other provocations to, or acts of uncleanness, either in ourselves or others.
Article 3 WE AFFIRM that God created Adam and Eve, the first human beings, in his own image, equal before God as persons, and distinct as male and female. WE DENY that the divinely ordained differences between male and female render them unequal in dignity or worth.
WCF IV.II After God had made all other creatures, he created man, male and female, with reasonable and immortal souls, endued with knowledge, righteousness, and true holiness, after his own image, having the law of God written in their hearts, and power to fulfil it; and yet under a possibility of transgressing, being left to the liberty of their own will, which was subject unto change.
Article 4 WE AFFIRM that divinely ordained differences between male and female reflect God’s original creation design and are meant for human good and human flourishing. WE DENY that such differences are a result of the Fall or are a tragedy to be overcome.
WCF XXIV.I Marriage is to be between one man and one woman...
WLC Q. 20. What was the providence of God toward man in the estate in which he was created? A. The providence of God toward man in the estate in which he was created, was ... ordaining marriage for his help
Article 5 WE AFFIRM that the differences between male and female reproductive structures are integral to God’s design for self-conception as male or female. WE DENY that physical anomalies or psychological conditions nullify the God-appointed link between biological sex and self-conception as male or female.
Assumed by the Standards as self-evident
Article 6 WE AFFIRM that those born with a physical disorder of sex development are created in the image of God and have dignity and worth equal to all other image-bearers. They are acknowledged by our Lord Jesus in his words about “eunuchs who were born that way from their mother's womb.” With all others they are welcome as faithful followers of Jesus Christ and should embrace their biological sex insofar as it may be known. WE DENY that ambiguities related to a person’s biological sex render one incapable of living a fruitful life in joyful obedience to Christ.
Not addressed in the Standards
Article 7 WE AFFIRM that self-conception as male or female should be defined by God’s holy purposes in creation and redemption as revealed in Scripture. WE DENY that adopting a homosexual or transgender self-conception is consistent with God’s holy purposes in creation and redemption
Assumed by the Standards as self-evident
Article 8 WE AFFIRM that people who experience sexual attraction for the same sex may live a rich and fruitful life pleasing to God through faith in Jesus Christ, as they, like all Christians, walk in purity of life. WE DENY that sexual attraction for the same sex is part of the natural goodness of God’s original creation, or that it puts a person outside the hope of the gospel.
WCF VI.V This corruption of nature, during this life, doth remain in those that are regenerated; and although it be through Christ pardoned and mortified, yet both itself and all the motions thereof are truly and properly sin.
WCF VI.VI Every sin, both original and actual, being a transgression of the righteous law of God, and contrary thereunto, doth, in its own nature, bring guilt upon the sinner, whereby he is bound over to the wrath of God and curse of the law, and so made subject to death, with all miseries spiritual, temporal, and eternal.

WCF VI.IV From this original corruption, whereby we are utterly indisposed, disabled, and made opposite to all good, and wholly inclined to all evil, do proceed all actual transgressions.
WCF VI.V This corruption of nature, during this life, doth remain in those that are regenerated; and although it be through Christ pardoned and mortified, yet both itself and all the motions thereof are truly and properly sin.
Article 10 WE AFFIRM that it is sinful to approve of homosexual immorality or transgenderism and that such approval constitutes an essential departure from Christian faithfulness and witness. WE DENY that the approval of homosexual immorality or transgenderism is a matter of moral indifference about which otherwise faithful Christians should agree to disagree.
Article 11 WE AFFIRM our duty to speak the truth in love at all times, including when we speak to or about one another as male or female. WE DENY any obligation to speak in such ways that dishonor God’s design of his imagebearers as male and female.
WLC Q. 144. What are the duties required in the ninth commandment? A. The duties required in the ninth commandment are, the preserving and promoting of truth between man and man, and the good name of our neighbor, as well as our own: appearing and standing for the truth; and from the heart, sincerely, freely, clearly, and fully, speaking the truth, and only the truth, in matters of judgment and justice, and in all other things whatsoever; a charitable esteem of our neighbors; loving, desiring, and rejoicing in their good name; sorrowing for, and covering of their infirmities; freely acknowledging of their gifts and graces, defending their innocency; a ready receiving of good report, and unwillingness to admit of an evil report, concerning them; discouraging tale-bearers, flatterers, and slanderers; love and care of our own good name, and defending it when need requireth; keeping of lawful promises; study and practising of whatsoever things are true, honest, lovely, and of good report.
WLC Q. 145. What are the sins forbidden in the ninth commandment? A. The sins forbidden in the ninth commandment are, all prejudicing the truth, and the good name of our neighbors, as well as our own, especially in public judicature; giving false evidence; suborning false witnesses; wittingly appearing and pleading for an evil cause; out-facing and overbearing the truth; passing unjust sentence; calling evil good, and good evil; rewarding the wicked according to the work of the righteous, and the righteous according to the work of the wicked; forgery; concealing the truth; undue silence in a just cause, and holding our peace when iniquity calleth for either a reproof from ourselves, or complaint to others; speaking the truth unseasonably, or maliciously to a wrong end, or perverting it to a wrong meaning, or in doubtful and equivocal expressions, to the prejudice of truth or justice; speaking untruth, lying, slandering, backbiting, detracting, tale-bearing, whispering, scoffing, reviling, rash, harsh, and partial censuring; misconstructing intentions, words, and actions; flattering, vain-glorious boasting, thinking or speaking too highly or too meanly of ourselves or others; denying the gifts and graces of God; aggravating smaller faults; hiding, excusing, or extenuating of sins, when called to a free confession; unnecessary discovering of infirmities; raising false rumours, receiving and countenancing evil reports, and stopping our ears against just defence; evil suspicion; envying or grieving at the deserved credit of any, endeavouring or desiring to impair it, rejoicing in their disgrace and infamy; scornful contempt; fond admiration; breach of lawful promises; neglecting such things as are of good report; and practicing or not avoiding ourselves, or not hindering what we can in others, such things as procure an ill name.
Article 12 WE AFFIRM that the grace of God in Christ gives both merciful pardon and transforming power, and that this pardon and power enable a follower of Jesus to put to death sinful desires and to walk in a manner worthy of the Lord.
Article 13 WE AFFIRM that the grace of God in Christ enables sinners to forsake transgender selfconceptions and by divine forbearance to accept the God-ordained link between one’s biological sex and one’s self-conception as male or female. WE DENY that the grace of God in Christ sanctions self-conceptions that are at odds with God’s revealed will.
WCF XIII.I They who are effectually called and regenerated, having a new heart and a new spirit created in them, are further sanctified, really and personally, through the virtue of Christ’s death and resurrection, by his Word and Spirit dwelling in them; the dominion of the whole body of sin is destroyed, and the several lusts thereof are more and more weakened and mortified, and they more and more quickened and strengthened, in all saving graces, to the practice of true holiness, without which no man shall see the Lord.
WCF XIII.II This sanctification is throughout in the whole man, yet imperfect in this life; there abideth still some remnants of corruption in every part, whence ariseth a continual and irreconcilable war, the flesh lusting against the spirit, and the spirit against the flesh.
WCF XIII.III In which war, although the remaining corruption for a time may much prevail, yet, through the continual supply of strength from the sanctifying Spirit of Christ, the regenerate part doth overcome; and so the saints grow in grace, perfecting holiness in the fear of God.
Article 14 WE AFFIRM that Christ Jesus has come into the world to save sinners and that through Christ’s death and resurrection forgiveness of sins and eternal life are available to every person who repents of sin and trusts in Christ alone as Savior, Lord, and supreme treasure. WE DENY that the Lord’s arm is too short to save or that any sinner is beyond his reach
WCF VII.III Man by his fall having made himself incapable of life by that covenant, the Lord was pleased to make a second, commonly called the covenant of grace: wherein he freely offered unto sinners life and salvation by Jesus Christ, requiring of them faith in him that they may be saved, and promising to give unto all those that are ordained unto life his Holy Spirit, to make them willing and able to believe.


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05. October 2014 03:17
Post edited 1 x times, last by
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05. October 2014 03:17
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XD1-NERF-PLS
is there a plug-in for this ? i mean like rss feed for notifications, sorry new to these forums, trying to find my way around


An API (application program interface) is a set of routines, protocols, and tools for building software applications.
MobiCycle's eWaste API offers local authorities, electronics manufacturers and retailers the ability to share data and attain critical insights into their supply chain.
It provides access to not only resources. The API also provides access to a service.


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Zaden Andrew Connell
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| GTK+ 2.0 Tutorial using Ocaml | ||
|---|---|---|
| <<< Previous | Miscellaneous Widgets | Next >>> |
The file selection widget is a quick and simple way to display a File dialog box. It comes complete with Ok, Cancel, and Help buttons, a great way to cut down on programming time.
To create a new file selection box use GWindow.file_selection:
val GWindow.file_selection : ?title:string -> ?show_fileops:bool -> ?filename:string -> ?select_multiple:bool -> ?parent:#window_skel -> ?destroy_with_parent:bool -> ?allow_grow:bool -> ?allow_shrink:bool -> ?icon:GdkPixbuf.pixbuf -> ?modal:bool -> ?resizable:bool -> ?screen:Gdk.screen -> ?type_hint:Gdk.Tags.window_type_hint -> ?position:Gtk.Tags.window_position -> ?wm_name:string -> ?wm_class:string -> ?border_width:int -> ?width:int -> ?height:int -> ?show:bool -> unit -> file_selection |
To set the filename, for example to bring up a specific directory, or give a default filename, use filename argument or this function:
method set_filename : string -> unit |
To grab the text that the user has entered or clicked on, use this function:
method filename : string |
There are also pointers to the widgets contained within the file selection widget. These are:
method dir_list : string GList.clist method file_list : string GList.clist method get_selections : string list method ok_button : GButton.button method cancel_button : GButton.button method help_button : GButton.button |
Most likely you will want to use the ok_button, cancel_button, and help_button methods in signaling their use.
Included example is nothing much to creating a file selection widget. While in this example the Help button appears on the screen, it does nothing as there is not a signal attached to it.
(* file: filesel.ml *) (* Get the selected filename and print it to the console *) let file_ok_sel filew () = print_endline filew#filename; flush stdout let main () = (* Create a new file selection widget; set default filename *) let filew = GWindow.file_selection ~title:"File selection" ~border_width:10 ~filename:"penguin.png" () in (* Set a handler for destroy event that immediately exits GTK. *) filew#connect#destroy ~callback:GMain.Main.quit; (* Connect the ok_button to file_ok_sel function *) filew#ok_button#connect#clicked ~callback:(file_ok_sel filew); (* Connect the cancel_button to destroy the widget *) filew#cancel_button#connect#clicked ~callback:filew#destroy; filew#show (); (* Rest in main and wait for the fun to begin! *) GMain.Main.main () let _ = Printexc.print main () |
| <<< Previous | Home | Next >>> |
| Color Selection | Up | Container Widgets |


LinearOperatorHouseholder
LinearOperator
acting like a [batch] of Householder transformations.
Inherits From: LinearOperator
tf.compat.v1.linalg.LinearOperatorHouseholder
tf.compat.v2.linalg.LinearOperatorHouseholder
This operator acts like a [batch] of householder reflections with shape
[B1,...,Bb, N, N]
for some b >= 0
. The first b
indices index a
batch member. For every batch index (i1,...,ib)
, A[i1,...,ib, : :]
is
an N x N
matrix. This matrix A
is not materialized, but for
purposes of broadcasting this shape will be relevant.
LinearOperatorHouseholder
is initialized with a (batch) vector.
A Householder reflection, defined via a vector v
, which reflects points
in R^n
about the hyperplane orthogonal to v
and through the origin.
# Create a 2 x 2 householder transform. vec = [1 / np.sqrt(2), 1. / np.sqrt(2)] operator = LinearOperatorHouseholder(vec) operator.to_dense() ==> [[0., -1.] [-1., -0.]] operator.shape ==> [2, 2] operator.log_abs_determinant() ==> scalar Tensor x = ... Shape [2, 4] Tensor operator.matmul(x) ==> Shape [2, 4] Tensor #### Shape compatibility This operator acts on [batch] matrix with compatible shape. `x` is a batch matrix with compatible shape for `matmul` and `solve` if
operator.shape = [B1,...,Bb] + [N, N], with b >= 0 x.shape = [C1,...,Cc] + [N, R], and [C1,...,Cc] broadcasts with [B1,...,Bb] to [D1,...,Dd]
#### Matrix property hints This `LinearOperator` is initialized with boolean flags of the form `is_X`, for `X = non_singular, self_adjoint, positive_definite, square`. These have the following meaning: * If `is_X == True`, callers should expect the operator to have the property `X`. This is a promise that should be fulfilled, but is *not* a runtime assert. For example, finite floating point precision may result in these promises being violated. * If `is_X == False`, callers should expect the operator to not have `X`. * If `is_X == None` (the default), callers should have no expectation either way.
__init__
 View source ``` python __init__( reflection_axis, is_non_singular=None, is_self_adjoint=None, is_positive_definite=None, is_square=None, name='LinearOperatorHouseholder' )
Initialize a LinearOperatorHouseholder
.
reflection_axis
: Shape [B1,...,Bb, N]
Tensor
with b >= 0
N >= 0
.
The vector defining the hyperplane to reflect about.
Allowed dtypes: float16
, float32
, float64
, complex64
,
complex128
.is_non_singular
: Expect that this operator is non-singular.is_self_adjoint
: Expect that this operator is equal to its hermitian
transpose. This is autoset to trueis_positive_definite
: Expect that this operator is positive definite,
meaning the quadratic form x^H A x
has positive real part for all
nonzero x
. Note that we do not require the operator to be
self-adjoint to be positive-definite. See:
https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
This is autoset to false.is_square
: Expect that this operator acts like square [batch] matrices.
This is autoset to true.name
: A name for this LinearOperator
.ValueError
: is_self_adjoint
is not True
, is_positive_definite
is
not False
or is_square
is not True
.H
Returns the adjoint of the current LinearOperator
.
Given A
representing this LinearOperator
, return A*
.
Note that calling self.adjoint()
and self.H
are equivalent.
name
: A name for this Op
.LinearOperator
which represents the adjoint of this LinearOperator
.
batch_shape
TensorShape
of batch dimensions of this LinearOperator
.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns
TensorShape([B1,...,Bb])
, equivalent to A.get_shape()[:-2]
TensorShape
, statically determined, may be undefined.
domain_dimension
Dimension (in the sense of vector spaces) of the domain of this operator.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns N
.
Dimension
object.
dtype
The DType
of Tensor
s handled by this LinearOperator
.
graph_parents
List of graph dependencies of this LinearOperator
.
is_non_singular
is_positive_definite
is_self_adjoint
is_square
Return True/False
depending on if this operator is square.
range_dimension
Dimension (in the sense of vector spaces) of the range of this operator.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns M
.
Dimension
object.
reflection_axis
shape
TensorShape
of this LinearOperator
.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns
TensorShape([B1,...,Bb, M, N])
, equivalent to A.get_shape()
.
TensorShape
, statically determined, may be undefined.
tensor_rank
Rank (in the sense of tensors) of matrix corresponding to this operator.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns b + 2
.
name
: A name for this Op
.Python integer, or None if the tensor rank is undefined.
add_to_tensor
add_to_tensor( x, name='add_to_tensor' )
Add matrix represented by this operator to x
. Equivalent to A + x
.
x
: Tensor
with same dtype
and shape broadcastable to self.shape
.name
: A name to give this Op
.A Tensor
with broadcast shape and same dtype
as self
.
adjoint
adjoint(name='adjoint')
Returns the adjoint of the current LinearOperator
.
Given A
representing this LinearOperator
, return A*
.
Note that calling self.adjoint()
and self.H
are equivalent.
name
: A name for this Op
.LinearOperator
which represents the adjoint of this LinearOperator
.
assert_non_singular
assert_non_singular(name='assert_non_singular')
Returns an Op
that asserts this operator is non singular.
This operator is considered non-singular if
ConditionNumber < max{100, range_dimension, domain_dimension} * eps, eps := np.finfo(self.dtype.as_numpy_dtype).eps
name
: A string name to prepend to created ops.An Assert
Op
, that, when run, will raise an InvalidArgumentError
if
the operator is singular.
assert_positive_definite
assert_positive_definite(name='assert_positive_definite')
Returns an Op
that asserts this operator is positive definite.
Here, positive definite means that the quadratic form x^H A x
has positive
real part for all nonzero x
. Note that we do not require the operator to
be self-adjoint to be positive definite.
name
: A name to give this Op
.An Assert
Op
, that, when run, will raise an InvalidArgumentError
if
the operator is not positive definite.
assert_self_adjoint
assert_self_adjoint(name='assert_self_adjoint')
Returns an Op
that asserts this operator is self-adjoint.
Here we check that this operator is exactly equal to its hermitian transpose.
name
: A string name to prepend to created ops.An Assert
Op
, that, when run, will raise an InvalidArgumentError
if
the operator is not self-adjoint.
batch_shape_tensor
batch_shape_tensor(name='batch_shape_tensor')
Shape of batch dimensions of this operator, determined at runtime.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns a Tensor
holding
[B1,...,Bb]
.
name
: A name for this Op
.int32
Tensor
cholesky
cholesky(name='cholesky')
Returns a Cholesky factor as a LinearOperator
.
Given A
representing this LinearOperator
, if A
is positive definite
self-adjoint, return L
, where A = L L^T
, i.e. the cholesky
decomposition.
name
: A name for this Op
.LinearOperator
which represents the lower triangular matrix
in the Cholesky decomposition.
ValueError
: When the LinearOperator
is not hinted to be positive
definite and self adjoint.determinant
determinant(name='det')
Determinant for every batch member.
name
: A name for this Op
.Tensor
with shape self.batch_shape
and same dtype
as self
.
NotImplementedError
: If self.is_square
is False
.diag_part
diag_part(name='diag_part')
Efficiently get the [batch] diagonal part of this operator.
If this operator has shape [B1,...,Bb, M, N]
, this returns a
Tensor
diagonal
, of shape [B1,...,Bb, min(M, N)]
, where
diagonal[b1,...,bb, i] = self.to_dense()[b1,...,bb, i, i]
.
my_operator = LinearOperatorDiag([1., 2.]) # Efficiently get the diagonal my_operator.diag_part() ==> [1., 2.] # Equivalent, but inefficient method tf.linalg.diag_part(my_operator.to_dense()) ==> [1., 2.]
name
: A name for this Op
.diag_part
: A Tensor
of same dtype
as self.domain_dimension_tensor
domain_dimension_tensor(name='domain_dimension_tensor')
Dimension (in the sense of vector spaces) of the domain of this operator.
Determined at runtime.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns N
.
name
: A name for this Op
.int32
Tensor
inverse
inverse(name='inverse')
Returns the Inverse of this LinearOperator
.
Given A
representing this LinearOperator
, return a LinearOperator
representing A^-1
.
name
: A name scope to use for ops added by this method.LinearOperator
representing inverse of this matrix.
ValueError
: When the LinearOperator
is not hinted to be non_singular
.log_abs_determinant
log_abs_determinant(name='log_abs_det')
Log absolute value of determinant for every batch member.
name
: A name for this Op
.Tensor
with shape self.batch_shape
and same dtype
as self
.
NotImplementedError
: If self.is_square
is False
.matmul
matmul( x, adjoint=False, adjoint_arg=False, name='matmul' )
Transform [batch] matrix x
with left multiplication: x --> Ax
.
# Make an operator acting like batch matrix A. Assume A.shape = [..., M, N] operator = LinearOperator(...) operator.shape = [..., M, N] X = ... # shape [..., N, R], batch matrix, R > 0. Y = operator.matmul(X) Y.shape ==> [..., M, R] Y[..., :, r] = sum_j A[..., :, j] X[j, r]
x
: LinearOperator
or Tensor
with compatible shape and same dtype
as
self
. See class docstring for definition of compatibility.adjoint
: Python bool
. If True
, left multiply by the adjoint: A^H x
.adjoint_arg
: Python bool
. If True
, compute A x^H
where x^H
is
the hermitian transpose (transposition and complex conjugation).name
: A name for this Op
.A LinearOperator
or Tensor
with shape [..., M, R]
and same dtype
as self
.
matvec
matvec( x, adjoint=False, name='matvec' )
Transform [batch] vector x
with left multiplication: x --> Ax
.
# Make an operator acting like batch matric A. Assume A.shape = [..., M, N] operator = LinearOperator(...) X = ... # shape [..., N], batch vector Y = operator.matvec(X) Y.shape ==> [..., M] Y[..., :] = sum_j A[..., :, j] X[..., j]
x
: Tensor
with compatible shape and same dtype
as self
.
x
is treated as a [batch] vector meaning for every set of leading
dimensions, the last dimension defines a vector.
See class docstring for definition of compatibility.adjoint
: Python bool
. If True
, left multiply by the adjoint: A^H x
.name
: A name for this Op
.A Tensor
with shape [..., M]
and same dtype
as self
.
range_dimension_tensor
range_dimension_tensor(name='range_dimension_tensor')
Dimension (in the sense of vector spaces) of the range of this operator.
Determined at runtime.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns M
.
name
: A name for this Op
.int32
Tensor
shape_tensor
shape_tensor(name='shape_tensor')
Shape of this LinearOperator
, determined at runtime.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns a Tensor
holding
[B1,...,Bb, M, N]
, equivalent to tf.shape(A)
.
name
: A name for this Op
.int32
Tensor
solve
solve( rhs, adjoint=False, adjoint_arg=False, name='solve' )
Solve (exact or approx) R
(batch) systems of equations: A X = rhs
.
The returned Tensor
will be close to an exact solution if A
is well
conditioned. Otherwise closeness will vary. See class docstring for details.
# Make an operator acting like batch matrix A. Assume A.shape = [..., M, N] operator = LinearOperator(...) operator.shape = [..., M, N] # Solve R > 0 linear systems for every member of the batch. RHS = ... # shape [..., M, R] X = operator.solve(RHS) # X[..., :, r] is the solution to the r'th linear system # sum_j A[..., :, j] X[..., j, r] = RHS[..., :, r] operator.matmul(X) ==> RHS
rhs
: Tensor
with same dtype
as this operator and compatible shape.
rhs
is treated like a [batch] matrix meaning for every set of leading
dimensions, the last two dimensions defines a matrix.
See class docstring for definition of compatibility.adjoint
: Python bool
. If True
, solve the system involving the adjoint
of this LinearOperator
: A^H X = rhs
.adjoint_arg
: Python bool
. If True
, solve A X = rhs^H
where rhs^H
is the hermitian transpose (transposition and complex conjugation).name
: A name scope to use for ops added by this method.Tensor
with shape [...,N, R]
and same dtype
as rhs
.
NotImplementedError
: If self.is_non_singular
or is_square
is False.solvevec
solvevec( rhs, adjoint=False, name='solve' )
Solve single equation with best effort: A X = rhs
.
The returned Tensor
will be close to an exact solution if A
is well
conditioned. Otherwise closeness will vary. See class docstring for details.
# Make an operator acting like batch matrix A. Assume A.shape = [..., M, N] operator = LinearOperator(...) operator.shape = [..., M, N] # Solve one linear system for every member of the batch. RHS = ... # shape [..., M] X = operator.solvevec(RHS) # X is the solution to the linear system # sum_j A[..., :, j] X[..., j] = RHS[..., :] operator.matvec(X) ==> RHS
rhs
: Tensor
with same dtype
as this operator.
rhs
is treated like a [batch] vector meaning for every set of leading
dimensions, the last dimension defines a vector. See class docstring
for definition of compatibility regarding batch dimensions.adjoint
: Python bool
. If True
, solve the system involving the adjoint
of this LinearOperator
: A^H X = rhs
.name
: A name scope to use for ops added by this method.Tensor
with shape [...,N]
and same dtype
as rhs
.
NotImplementedError
: If self.is_non_singular
or is_square
is False.tensor_rank_tensor
tensor_rank_tensor(name='tensor_rank_tensor')
Rank (in the sense of tensors) of matrix corresponding to this operator.
If this operator acts like the batch matrix A
with
A.shape = [B1,...,Bb, M, N]
, then this returns b + 2
.
name
: A name for this Op
.int32
Tensor
, determined at runtime.
to_dense
to_dense(name='to_dense')
Return a dense (batch) matrix representing this operator.
trace
trace(name='trace')
Trace of the linear operator, equal to sum of self.diag_part()
.
If the operator is square, this is also the sum of the eigenvalues.
name
: A name for this Op
.Shape [B1,...,Bb]
Tensor
of same dtype
as self
.


Help:
To update daily bus positions:
1. Go to the Account page (admin panel)
2. Click Bus Editor
3. Type in the bus number in each correct position's text box
4. If ready to send to students, double check buses and make sure the "Last Sent" isn't today, then press "SEND SMS" and follow confirmation dialog.
To mark temporary buses, add a minus symbol to the front of the bus number, and write the announcement to be made in the notes section.
Ex.) 34 would become -34


Index of niqlow
- Information
- niqlow-license.txt
- README.txt
- Open Directories
- doc/ HTML documentation of niqlow and its components, including installation and use instructions
- examples/ replications and demonstration code with HTML documentation
- include/ .h and .oxo files related to niqlow
- templates/ .ox files to customize
- Source Directories (may not be present in this distribution)
- source/ .ox files for niqlow
- test/ some test programs
- text/ notes and presentation material


Properties
Dossiers colocations
Logs
Statistics
DossierSuperFacile Statistics
Prospects Statistics
Contract migration statistics
File statistics
Files With Error
Agents
TimeServeTenant
Statistics operators
Feedback
Properties-pro


Coronation Street SPOILERS: Daniel gets arrested
He's hit rock bottom
by Claire CrickGrieving Daniel Osbourne is dealt another devastating blow in next week's Coronation Street when he finds his flat has been trashed while he was at wife Sinead's funeral.
As the day of Sinead's funeral arrives, and her friends and family brace themselves to say their final goodbyes.
The service goes well and as everyone gathers in The Rovers for the wake, it seems Sinead has got the send off that she planned.
Read more: Coronation Street viewers baffled over Shona Ramsey's upcoming exit
However, while everyone celebrates Sinead's short life, little do they realise a mysterious figure has broken into Daniel's flat and is riffling through his and Sinead's belongings.
Just when Daniel thought life couldn't deal him any more heartache, he gets home to the flat after the funeral to find it has been trashed by the thief... but that's not all he has to worry about.
As he calls Peter in his moment of need, Carla takes Daniel to Ken's house so that Peter can call the police.
But while Peter is there he realises that the thief took Daniel's laptop... the one with all the video messages that Sinead made for Daniel and Bertie before she died.
Daniel is understandably devastated at the news about the computer and decides to take matters into his own hands by heading to the local pawn shops to see if he can find his laptop.
It doesn't take long for Daniel to think he has found his stolen laptop in a glass cabinet in a shop, and he is a man on the edge as he accuses the shop owner of handing stolen goods.
In a moment of rage he finds a golf club nearby and smashes the cabinet... causing the police to be called.
The police are soon on the scene and Daniel finds himself arrested for his behaviour... but will Craig manage to persuade the shop owner to drop the charges by explaining that Daniel is grieving for his wife?
Later Daniel breaks down in tears, telling Adam that Bertie deserves a better dad, and Peter is concerned that Daniel isn't in a good place at all.
As Daniel decides to clear up the flat after the break in, it seems he is looking brighter... until he finds a broken mug that belonged to Sinead, and he breaks down in tears once again, devastated that his has happened so soon after losing the love of his life.
Eventually Beth comes to visit Daniel at the flat and finds him a broken mess on the floor, and offers him a shoulder to cry on... but will her support be enough to help him through this difficult time?
Read more: Coronation Street disgust as contents of Geoff's laptop revealed
Later Peter and Carla finally manage to persuade Daniel to have some 'me time' and they look after Bertie while he has a break... but it seems their good intentions have made things worse when he comes home worse for wear.
Will Daniel's family be able to help him cope with his grief, or is this a downward spiral that is set to continue?
Coronation Street airs on Mondays, Wednesdays and Fridays at 7.30pm and 8.30pm on ITV.
 Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think!


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Let's take another look at Galton's data on heights, studied in detail in Data 8. The table heights
contains the midparent height and adult child's height for each of 934 adults.
heights
heights.scatter('MidParent')
You can see the classic bivariate normal histogram, though of course these heights are not in standard units.
To work with these data, let's redefine a few functions you defined in Data 8.
def standard_units(x):
return (x - np.mean(x))/np.std(x)
def correlation(x, y):
return np.mean(standard_units(x)*standard_units(y))
The correlation between the two variables is about 0.32.
midparent = heights.column(0)
child = heights.column(1)
r = correlation(midparent, child)
r
The scatter plot below has a point for all of the 934 rows of heights
. The variables are measured in standard units. The green regression line with an equation of $y = 0.322 x$ is displayed.
plt.figure(figsize=(6,6))
plt.scatter(standard_units(midparent), standard_units(child))
plt.plot([-4, 4], [r*(-4), r*4], color='green', lw=2)
plt.xlim(-4, 4)
plt.ylim(-4, 4)
plt.axes().set_aspect('equal')
plt.xlabel('Midparent Height (standard units)')
plt.ylabel('Child Height (standard units)');
It's a bit odd to make predictions a century after a data set was collected, but pretend that Galton met a new pair of parents whose midparent height is 71 inches. How could he have gone about predicting their child's height?
One way is to work in standard units. The midparent height of 71 inches is about 0.995 in standard units:
su_71 = (71 - np.mean(midparent))/np.std(midparent)
su_71
So the predicted child's height is $r \times 0.995 = 0.32$ standard units, approximately.
prediction_su = r * su_71
prediction_su
The predicted child's height in 67.89 inches.
prediction_su * np.std(child) + np.mean(child)
To quantify the error in this estimate, use the fact that when both variables are measured in standard units, the SD of the errors is $\sqrt{1 - r^2}$. Therefore the SD of the errors, in inches, is $\sqrt{1 - r^2} SD(Y)$, which is 3.38 inches.
(1 - r**2)**0.5 * np.std(child)
For comparison, the actual average midparent height of those whose midparents heights were near 71 inches is 67.2, compared to our regression estimate of 67.89. Not bad.
close_to_71 = heights.where('MidParent', are.between(70.9, 71.1))
close_to_71
np.mean(close_to_71.column('Child'))
The SD of the "Child"'s height of these people is 3.02, not far from the theoretical value of 3.38 that we arrived at by using the bivariate normal methods of the previous section.
np.std(close_to_71.column('Child'))
In the calculations above, we used the bivariate normal distribution after standardizing the two heights involved. In general, random variables $X$ and $Y$ are said to have the bivariate normal distribution with parameters $(\mu_X, \mu_Y, \sigma_X^2, \sigma_Y^2, \rho)$ provided the standardized variables
$$ X^* = \frac{X - \mu_X}{\sigma_X} ~~~~~~ \text{and} ~~~~~~ Y^* = \frac{Y - \mu_Y}{\sigma_Y} $$have the standard bivariate normal distribution with correlation $\rho$.
The standardization doesn't affect $\rho$ because correlation is defined in terms of the standardized variables in the first place.
We can now write out the general versions of the numerical calculations we did using Galton's data.
If $X$ and $Y$ have the bivariate normal distribution with the five parameters (two means, two variances, and correlation) as above, then it is easy to find the conditional distribution of $Y$ given $X = x$.
The given condition is equivalent to $X^* = x^* = (x - \mu_X)/\sigma_X$. Under this condition, the conditional distribution of $Y^*$ is normal with mean $\rho x^*$ and variance $1 - \rho^2$.
We can now reverse the standardization and use $Y = Y^*\sigma_Y + \mu_Y$ to get back to the units of $Y$. Given $X = x$, the conditional distribution of $Y$ is normal with mean
\begin{align*} E(Y \mid X) ~ &= ~ (\rho x^*) \sigma_Y + \mu_Y \\ &= ~ \rho \frac{\sigma_Y}{\sigma_X} x + \big{(}\mu_Y - \rho \frac{\sigma_Y}{\sigma_X} \mu_X \big{)} \\ &= a^*x + b^* \end{align*}where $a^*$ and $b^*$ are the slope and the intercept of the regression line derived in an earlier chapter.
Thus if $X$ and $Y$ have a bivariate normal distribution, then the best predictor of $Y$ given $X$ is linear and is therefore the same as the best linear predictor or regression line.
The conditional variance $Var(Y \mid X = x)$ is unaffected by the shift by $\mu_Y$. Therefore
$$ Var(Y \mid X = x) ~ = ~ (1 - \rho^2)\sigma_Y^2 ~~~~~~ \text{and} ~~~~~~ SD(Y \mid X = x) ~ = ~ \sqrt{1 - \rho^2}\sigma_Y $$


This week we're reading Chapter 8 of Search Inside Yourself. It talks about compassion, which is described as "a mental state endowed with a sense of concern for the suffering of others and aspiration to see that suffering relieved" (p. 155). It then goes on to look at how compassion creates highly effective leaders.
The book refers to one study that looked at what makes a success manager. Researchers found that the biggest difference between the top quartile of managers and the bottom quartile were their scores on affection:
"The highest performing managers show more warmth and fondness toward others than do the bottom 25 percent. They get closer to people, and they are significantly more open in sharing thoughts and feelings than their low-performing counterparts."
That finding doesn't surprise me at all. Managers who seem self-interested or unsympathetic are far less appealing to me than ones who try to get to know their employees and understand individual points of view. Someone I used to work with (who was an incredible leader, though I'm not sure he knew it), once commented "I think real leaders bring people along with them; they don't just cut loose those who disagree with them." That comment stuck with me, because it seems so applicable to teamwork in the working world. Just because you can make people follow you, doesn't mean you're a leader. People have to choose to follow you before you can claim that title.
Chapter 8 lists five domains of social experience that our brains treat as primary rewards or threats (i.e. things that are so important to you your brain treats them in the same way it treats survival issues). These are:
Chapter 8 also sets out some insights and an exercise for difficult conversations. When I think of difficult conversations, I think of situations where it's difficult to separate the emotions surrounding a topic from the topic itself. One of the insights in the book is that we shouldn't equate impact with intention (p. 169). E.g. just because we feel hurt or offended by something someone said, doesn't mean that person intended to hurt us. So when we're having a difficult conversation, we should bear that in mind.
In terms of preparing for a difficult conversation, the book recommends talking to other people and bouncing ideas off them. I do that a lot. If nothing else, it gives me an opportunity to vent some frustration, which means I'm calmer by the time the real talk rolls around. I remember one conversation I prepared for, after I'd been working long hours for quite a while, and was beginning to feel burnt-out. I wanted some more time off, but I had no idea how to broach the topic. So I started running through the problem with a friend, and realised that a far better solution than simply asking for a break, was asking for more flexibility to manage where and when I did the work, so I could set aside some time for myself each day. In the end, the conversation went really well. But then, my boss was pretty great, and probably would have understood either way.


Work on Nyinahin, Sefwi-Wiawso Sinohydro road projects begin
by Stephen Asante, GNANyinahin (Ash), Nov. 22, GNA - Vice-President, Alhaji Dr. Mahamudu Bawumia, has cut the sod for work to commence on the Sinohydro road projects within the areas of Nyinahin in the Ashanti and Sefwi-Wiawso, in the Western Regions.
In all, about 69.51 kilometres of roads are to be constructed in those areas under the ‘Sinohydro Master Project Support Agreement’ between China and Ghana.
Messrs. Sinohydro Corporation Limited, is the contractor for the project, which will among others, enhance the production and transportation of bauxite and related commercial activities in the area, to improve the livelihoods of people living along the corridors of those selected roads.
“Bauxite production has supported the nation’s economy dating back to the colonial era to date.
It is against this backdrop that the President Akufo-Addo-led Administration has decided to revive bauxite mining activities by awarding the road network in this area for upgrading works,” Alhaji Dr. Bawumia said.
He was addressing a durbar of the chiefs and people of Nyinahin in the Ashanti Region on Friday.
The Vice-President indicated that the Agreement with the Chinese government, was to help Ghana to work on some selected roads across the country to boost economic activities.
Alhaji Dr. Bawumia explained that the project would be executed in two phases – ‘Phase One’ and ‘Phase Two’, and was being administered under the Ministry of Roads and Highways.
The Department of Feeder Roads under the Ministry would provide technical services in the supervision and monitoring of the project.
The Vice-President assured that the government would not relent in ensuring judicious use of state resources for the benefit of all.
Mr Simon Osei-Mensah, the Regional Minister, said the government would do due diligence in the execution of the project to promote socio-economic activities in the beneficiary communities.
GNA


1
php => afficher question 1 fazfazazfafzafzafzfazfza
2
php => afficher question 2
3
php => afficher question 3


Now with Wizards, ex-Celtics star Isaiah Thomas starts again
by HOWARD FENDRICHWASHINGTON (AP) - Discussing his first NBA start in more than 1½ years, Isaiah Thomas tried to play it cool at first - his face straight, his voice barely above a whisper, his words betraying no emotion or real significance whatsoever.
“Whether I start or come off the bench, I know who I am. I know I’m one of the best basketball players in the world,” he said. “So, I mean, that doesn’t affect me. I approach the game the same way.”
And that’s when he paused. A smile spread.
“But, I mean,” Thomas continued, “I am happy to be starting.”
The 5-foot-9 point guard was on the floor at the outset of the Washington Wizards’ 115-99 victory over the Detroit Pistons on Monday night, and he finished with nine points, six assists and two rebounds in just under 25 minutes.
None of those individual numbers really mattered all that much.
What was important was what being a member of his team’s first five symbolized: Thomas had worked his way back from a series of injuries, most noteworthy a serious hip problem that sidelined him during the playoffs in 2017 and led to surgery in March 2018.
Earlier that month is when he last started, in a game for the Los Angeles Lakers.
“There were dark days. I mean, it’s rehab. And for me to go through that for two years, it was tough. I’m not going to lie to you. And it did break me at times,” Thomas said. “But … it can’t storm forever. The sun has to come out at some point.”
He was a two-time All-Start in Boston, then got traded to Cleveland in the deal that brought Kyrie Irving to the Celtics. There have been plenty of other travels: The Wizards are his seventh pro team in a career that now has stretched into a ninth season, with averages of 18.6 points, 5.1 assists and 36% shooting on 3s.
After signing with Washington as a free agent in July, Thomas broke his left thumb - that’s his shooting hand - during a workout in September and needed an operation.
He missed the first two regular-season games, then sat behind Ish Smith for the next three, before getting into the lineup Monday.
“Nothing’s permanent. It’s his tonight. It’s probably going to be for a while. … He’s in the NBA for one reason: He is as tough as nails,” Wizards coach Scott Brooks said.
“I like his spirit. I like his competitiveness. I like his story,” Brooks said. “He’s fighting back from some tough moments, tough injuries.”
Thomas’ most difficult time came in 2017, when his younger sister died in a car crash.
“I’m never going to quit. No matter what,” he said Monday.  Because, I mean, it’s been tough the last two years. But I know my end goal. I know I want to be one of the best basketball players to ever play. I know I’ve got a lot left in the tank and I’m only 30 years old.”
Follow Howard Fendrich on Twitter at http://twitter.com/HowardFendrich
More AP NBA: https://apnews.com/NBA and https://twitter.com/AP_Sports
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Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


I was recently working on a project where I needed to compose a dynamic query for filtering a table using ecto. The filter parameters are coming from a graphql resolver.
# ~/query.ex
#A sample filter input
filter_input = %{status: "AVAILABLE", genre: "Comedy", last_update_gte: "2018-10-18 00:00:00", last_update_lte: "2018-10-18 23:59:59" }
#The schema I will be querying
defmodule Movies do
use Ecto.Schema
schema "movies" do
field(:genre, :string)
field(:status, :string)
timestamps()
end
end
#My resolver function
defmodule MovieFilter do
import Ecto.Query
def compose_filter(filter_params, base_query = %Ecto.Query{}) do
filter_params
|> Enum.reduce(base_query, fn filter, acc ->
q =
case filter do
{:last_update_gte, value} -> dynamic([w], w.updated_at >= ^value)
{:last_update_lte, value} -> dynamic([w], w.updated_at <= ^value)
{:status, value} -> dynamic([w], w.status >= ^value)
{:genre, value} -> dynamic([w], w.genre >= ^value)
end
where(acc, ^q)
end)
end
end
#usage
base_query = from(m in Movies)
MovieFilter.compose_filter(filter_input, base_query)
|> Repo.all()
Explanation
With compose_filter\2
we are able to compose a dynamic query, which is derived from user input depending on the desired filter fields, the result of the function which is then passed to Repo.all()
The dynamic\2
in compose_filter function is imported from Ecto.Query as well as where\3
More about the dynamic function is Here in the official documentation of Ecto.


"Top 12" exfiltration methods
Bypassing end-point protection systems- Android Phones
- directly plug in (sd storage/etc) (who doesn't charge their phones these days?)
- tether internet connection to bypass company protections
- Legacy Bluetooth adaptors
- USB bluetooth (keyboards/mice)
Bypassing Permiter Protections- Android phones
- Legacy network adapters
- Built-in network adaptors
Bypassing web content filtering systems- Remote desktop services
- Bogmar, LogMeIn, GoToMyPC, TeamViewer, RDP, etc
- Office365
- *.office365.com, *.office.com, *.live.com, etc
- "Uncategorized" sites
Bypassing firewalls
Bypassing network controls


Ordinal seven-point scale used as primary outcome in the U.S. National Institutes of Health sponsored clinical trial (
⁎
Please note that information is taken verbatim from the U.S. National Library of Medicine clinical trials registry [ 42].


Bases: horizon.utils.html.HTMLElement
A class which defines a browser for displaying data.
A short name or slug for the browser.
A more verbose name for the browser meant for display purposes.
This table displays data on the left side of the browser. Set the navigation_table_class attribute with the desired DataTable class. This table class must set browser_table attribute in Meta to "navigation".
This table displays data on the right side of the browser. Set the content_table_class attribute with the desired DataTable class. This table class must set browser_table attribute in Meta to "content".
This attribute represents the key of the navigatable items in the kwargs property of this browser’s view. Defaults to "navigation_kwarg".
This attribute represents the key of the content items in the kwargs property of this browser’s view. Defaults to "content_kwarg".
String containing the template which should be used to render the browser. Defaults to "horizon/common/_resource_browser.html".
The name of the context variable which will contain the browser when it is rendered. Defaults to "browser".
Indicates if the content table of the browser would have breadcrumb. Defaults to false.
This is a template used to render the breadcrumb. Defaults to "horizon/common/_breadcrumb.html".
Sets the table instances on the browser from a dictionary mapping table names to table instances (as constructed by MultiTableView).


Photoshop
History
- Photoshop was first introduced in 1987 by brothers Thomas and John Knoll.
- In 1988, they sold their license to Adobe, a company that operated photoshop and many other tools like it such as InDesign.
- Until 1996, Thomas Knoll continued to help improve Photoshop with new updates that included color, layers, editing, pen tool, and many other features to make life easier for users.
- Photoshop continues to add new features today, with their last update being in 2017.
- Thanks to Photoshop, users are able to add watermarks to their pictures and edit colors, backgrounds, lighting, blurs. They are also able to add or remove things to their pictures, like James Fridman does.
- Other programs that are all part of the Adobe suite such as InDesign, Illustrator, Dreamweaver are also helpful tools in editing pictures.


ministration
Dashboard
Admin Controls
Home Management
Manage your homes easily
View your homes
Add new home
User Management
Manage your users easily
View your current Users
Add a new User
Remove a current User
User Growth
Valerie Luna
Profile
Settings
Activity Log
Logout
User Management
Add User
Options
Conflicts
Dependency
Togetherness
Bedroom
Bathroom
Hall
Lobby
Add Row
First Name
Last Name
Email
Password
Address
Address 2
Upload Picture
Choose file...
Example invalid custom file feedback
Profile Picture
City
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Choose...
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Zip
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Save
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Select "Logout" below if you are ready to end your current session.


tl;dr
Suppose you want to know which package(s) a given R function belongs to, say filter
. Here come find_funs
to help you:
find_funs("filter")
## # A tibble: 4 x 3
## package_name builtin_pckage loaded
## <chr> <lgl> <lgl>
## 1 base TRUE TRUE
## 2 dplyr FALSE TRUE
## 3 plotly FALSE FALSE
## 4 stats TRUE TRUE
This function will search all installed packages for this function name. It will return all the package names that match the function name (ie., packages which include a function by the respective name). In addition, the function raises a flag as to whether the packages is a standard (built-in) packge and whether the package is currently loaded/attached.
For convenience this function can be sourced like this:
source("https://sebastiansauer.github.io/Rcode/find_funs.R")
Usecase
Sometimes it is helpful to know in which R package a function ‘resides’. For example, ggplot
comes from the package ggplot2
, and select
is a function that can be located in the package dplyr
(among other packages). Especially if a function has a common name name clases are bound to be experienced. For a example, I was bitten by filter
a couple of times - not reckognizing that the function filter
that was applied did not come from dplyr
as intended but from some other package.
Additionally, sometimes we have in mind ‘oh I should make use of this function filter
here’, but cannot remember which package should be loaded for that function.
A number of ways exist to address this question. Our convenience function here takes the name of the function for which we search its residential package as its input (that’s the only parameter). The function will then return the one more packgages in which the function was found. In addition, it returns for each package found whether that package comes with standard R (is ‘built-in’). That information can be useful to know whether someone needs to install a package in order to use some function. The function also returns whether the function is currently loaded.
Code
find_funs <- function(f) {
# Returns dataframe with two columns:
# `package_name`: packages(s) which the function is part of (chr)
# `builtin_package`: whether the package comes with standard R (a 'builtin' package)
# Arguments:
# f: name of function for which the package(s) are to be identified.
if ("tidyverse" %in% rownames(installed.packages()) == FALSE) {
cat("tidyverse is needed for this fuction. Please install. Stopping")
stop()}
suppressMessages(library(tidyverse))
# search for help in list of installed packages
help_installed <- help.search(paste0("^",f,"$"), agrep = FALSE)
# extract package name from help file
pckg_hits <- help_installed$matches[,"Package"]
if (length(pckg_hits) == 0) pckg_hits <- "No_results_found"
# get list of built-in packages
pckgs <- installed.packages() %>% as_tibble
pckgs %>%
dplyr::filter(Priority %in% c("base","recommended")) %>%
dplyr::select(Package) %>%
distinct -> builtin_pckgs_df
# check for each element of 'pckg hit' whether its built-in and loaded (via match). Then print results.
results <- data_frame(
package_name = pckg_hits,
builtin_pckage = match(pckg_hits, builtin_pckgs_df$Package, nomatch = 0) > 0,
loaded = match(paste("package:",pckg_hits, sep = ""), search(), nomatch = 0) > 0
)
return(results)
}
Example
find_funs("filter")
## # A tibble: 4 x 3
## package_name builtin_pckage loaded
## <chr> <lgl> <lgl>
## 1 base TRUE TRUE
## 2 dplyr FALSE TRUE
## 3 plotly FALSE FALSE
## 4 stats TRUE TRUE
Convenience access
For convenience this function can be sourced like this:
source("https://sebastiansauer.github.io/Rcode/find_funs.R")
Notes
tidyverse
needs to installed to run this code. tidyverse
is loaded quietly. The function will return an empty dataframe if no target package is found.
Acknowledgements
This function was inspired by code from Ben Bolker’s post on SO.


Note
Click here to download the full example code
Manually Recover Events Not Found by the Algorithm¶
In this example, we use pd-parser
to find photodiode events that
have corrupted pre-event baselines, photodiode plateaus or post-event
baselines but not corrupted onsets or offsets.
Note that it might be a good idea not to recover these events
as there might be noise in the data around this time.
# Authors: Alex Rockhill<EMAIL_ADDRESS>#
# License: BSD (3-clause)
Simulate data and use it to make a raw object
We’ll make an mne.io.Raw object so that we can save out some random data with a photodiode event channel in it in fif format (a commonly used electrophysiology data format).
import os.path as op
import numpy as np
import mock
import mne
from mne.utils import _TempDir
import pd_parser
from pd_parser.parse_pd import _load_data
import matplotlib.pyplot as plt
out_dir = _TempDir()
# simulate photodiode data
np.random.seed(29)
n_events = 300
# let's make our photodiode events on random uniform from 0.25 to 0.75 seconds
n_secs_on = np.random.random(n_events) * 0.5 + 0.25
raw, beh, events, _ = \
pd_parser.simulate_pd_data(n_events=n_events, n_secs_on=n_secs_on,
prop_corrupted=0.0)
sfreq = np.round(raw.info['sfreq']).astype(int)
# corrupt some events
corrupted_indices = [8, 144, 234]
amount = raw._data.max()
fig, axes = plt.subplots(1, len(corrupted_indices), figsize=(8, 4))
fig.suptitle('Corrupted Events')
axes[0].set_ylabel('voltage')
for j, i in enumerate(events[corrupted_indices, 0]):
if j == 0:
raw._data[0, i - sfreq // 5: i - sfreq // 10] = -amount
elif j == 1:
raw._data[0, i + sfreq // 4: i + sfreq // 3] = -amount
else:
raw._data[0, i + 3 * sfreq // 4: i + 5 * sfreq // 6] = amount
axes[j].plot(np.linspace(-1, 2, 3 * sfreq),
raw._data[0, i - sfreq: i + sfreq * 2])
axes[j].set_xlabel('time (s)')
# make figure nicer
fig.tight_layout()
# make fake electrophysiology data
info = mne.create_info(['ch1', 'ch2', 'ch3'], raw.info['sfreq'],
['seeg'] * 3)
raw2 = mne.io.RawArray(np.random.random((3, raw.times.size)) * 1e-6, info)
raw.add_channels([raw2])
raw.info['line_freq'] = 60 # for bids
# add some offsets to the behavior so it's a bit more realistic
offsets = np.random.randn(n_events) * 0.001
beh['time'] = np.array(beh['time']) + offsets
# save to disk as required by ``pd-parser``, raw needs to have a filename
fname = op.join(out_dir, 'sub-1_task-mytask_raw.fif')
raw.save(fname)
Creating RawArray with float64 data, n_channels=1, n_times=2039600
Range : 0 ... 2039599 = 0.000 ... 2039.599 secs
Ready.
Creating RawArray with float64 data, n_channels=3, n_times=2039600
Range : 0 ... 2039599 = 0.000 ... 2039.599 secs
Ready.
Writing /tmp/tmp_mne_tempdir__n31r5wk/sub-1_task-mytask_raw.fif
Closing /tmp/tmp_mne_tempdir__n31r5wk/sub-1_task-mytask_raw.fif
[done]
Find the photodiode events relative to the behavioral timing of interest
This function will use the default parameters to find and align the photodiode events, recovering the events that we just corrupted.
Note that the mock function mocks user input so when you run the example, you want to delete that line and unindent the next line, and then provide your own input depending on whether you want to keep the events or not.
with mock.patch('builtins.input', return_value='y'):
pd_parser.parse_pd(fname, pd_event_name='Stim On', beh=beh, max_len=1.5,
pd_ch_names=['pd'], beh_key='time', recover=True)
Reading in /tmp/tmp_mne_tempdir__n31r5wk/sub-1_task-mytask_raw.fif
Opening raw data file /tmp/tmp_mne_tempdir__n31r5wk/sub-1_task-mytask_raw.fif...
Range : 0 ... 2039599 = 0.000 ... 2039.599 secs
Ready.
Reading 0 ... 2039599 = 0.000 ... 2039.599 secs...
Finding photodiode events
0%| | 0/606 [00:00<?, ?it/s]
100%|##########| 606/606 [00:00<00:00, 7220.86it/s]
301 up-deflection photodiode candidate events found
Checking best alignments
0%| | 0/300 [00:00<?, ?it/s]
1%|1 | 4/300 [00:00<00:09, 30.15it/s]
3%|2 | 8/300 [00:00<00:09, 30.36it/s]
4%|4 | 12/300 [00:00<00:09, 30.12it/s]
5%|5 | 16/300 [00:00<00:09, 30.15it/s]
7%|6 | 20/300 [00:00<00:09, 30.11it/s]
8%|8 | 24/300 [00:00<00:09, 29.99it/s]
9%|9 | 28/300 [00:00<00:09, 30.08it/s]
11%|# | 32/300 [00:01<00:08, 29.96it/s]
12%|#1 | 35/300 [00:01<00:08, 29.88it/s]
13%|#3 | 39/300 [00:01<00:08, 30.04it/s]
14%|#4 | 43/300 [00:01<00:08, 29.74it/s]
16%|#5 | 47/300 [00:01<00:08, 29.79it/s]
17%|#6 | 50/300 [00:01<00:08, 29.67it/s]
18%|#7 | 53/300 [00:01<00:08, 29.67it/s]
19%|#8 | 56/300 [00:01<00:08, 29.70it/s]
20%|#9 | 59/300 [00:01<00:08, 29.49it/s]
21%|## | 62/300 [00:02<00:08, 29.60it/s]
22%|##1 | 65/300 [00:02<00:07, 29.67it/s]
23%|##2 | 68/300 [00:02<00:07, 29.69it/s]
24%|##3 | 71/300 [00:02<00:07, 29.75it/s]
25%|##4 | 74/300 [00:02<00:07, 28.62it/s]
26%|##5 | 77/300 [00:02<00:07, 28.75it/s]
27%|##6 | 80/300 [00:02<00:07, 28.88it/s]
28%|##7 | 83/300 [00:02<00:07, 29.09it/s]
29%|##8 | 86/300 [00:02<00:07, 28.73it/s]
30%|##9 | 89/300 [00:03<00:07, 28.93it/s]
31%|### | 92/300 [00:03<00:07, 29.09it/s]
32%|###1 | 95/300 [00:03<00:07, 28.32it/s]
33%|###2 | 98/300 [00:03<00:07, 28.62it/s]
34%|###3 | 101/300 [00:03<00:06, 28.54it/s]
35%|###4 | 104/300 [00:03<00:06, 28.83it/s]
36%|###5 | 107/300 [00:03<00:06, 28.95it/s]
37%|###6 | 110/300 [00:03<00:06, 28.94it/s]
38%|###7 | 113/300 [00:03<00:06, 27.29it/s]
39%|###8 | 116/300 [00:03<00:06, 27.65it/s]
40%|###9 | 119/300 [00:04<00:06, 28.18it/s]
41%|#### | 122/300 [00:04<00:06, 28.34it/s]
42%|####1 | 125/300 [00:04<00:06, 28.03it/s]
43%|####2 | 128/300 [00:04<00:06, 27.75it/s]
44%|####3 | 131/300 [00:04<00:06, 28.04it/s]
45%|####4 | 134/300 [00:04<00:05, 28.04it/s]
46%|####5 | 137/300 [00:04<00:05, 28.06it/s]
47%|####6 | 140/300 [00:04<00:05, 27.50it/s]
48%|####7 | 143/300 [00:04<00:05, 27.18it/s]
49%|####8 | 146/300 [00:05<00:06, 25.64it/s]
50%|####9 | 149/300 [00:05<00:05, 26.31it/s]
51%|##### | 152/300 [00:05<00:05, 26.54it/s]
52%|#####1 | 155/300 [00:05<00:05, 27.02it/s]
53%|#####2 | 158/300 [00:05<00:05, 27.13it/s]
54%|#####3 | 161/300 [00:05<00:05, 27.76it/s]
55%|#####4 | 164/300 [00:05<00:04, 27.96it/s]
56%|#####5 | 167/300 [00:05<00:04, 28.03it/s]
57%|#####6 | 170/300 [00:05<00:04, 28.21it/s]
58%|#####7 | 173/300 [00:06<00:04, 28.38it/s]
59%|#####8 | 176/300 [00:06<00:04, 28.24it/s]
60%|#####9 | 179/300 [00:06<00:04, 27.90it/s]
61%|###### | 182/300 [00:06<00:04, 27.38it/s]
62%|######1 | 185/300 [00:06<00:04, 27.53it/s]
63%|######2 | 188/300 [00:06<00:04, 27.46it/s]
64%|######3 | 191/300 [00:06<00:04, 27.16it/s]
65%|######4 | 194/300 [00:06<00:03, 27.19it/s]
66%|######5 | 197/300 [00:06<00:03, 27.32it/s]
67%|######6 | 200/300 [00:07<00:03, 27.50it/s]
68%|######7 | 203/300 [00:07<00:03, 27.46it/s]
69%|######8 | 206/300 [00:07<00:03, 27.59it/s]
70%|######9 | 209/300 [00:07<00:03, 26.52it/s]
71%|####### | 212/300 [00:07<00:03, 26.69it/s]
72%|#######1 | 215/300 [00:07<00:03, 27.06it/s]
73%|#######2 | 218/300 [00:07<00:03, 27.21it/s]
74%|#######3 | 221/300 [00:07<00:02, 27.85it/s]
75%|#######4 | 224/300 [00:07<00:02, 27.79it/s]
76%|#######5 | 227/300 [00:08<00:02, 27.43it/s]
77%|#######6 | 230/300 [00:08<00:02, 27.15it/s]
78%|#######7 | 233/300 [00:08<00:02, 26.88it/s]
79%|#######8 | 236/300 [00:08<00:02, 25.87it/s]
80%|#######9 | 239/300 [00:08<00:02, 26.01it/s]
81%|######## | 242/300 [00:08<00:02, 26.43it/s]
82%|########1 | 245/300 [00:08<00:02, 27.20it/s]
83%|########2 | 248/300 [00:08<00:01, 27.73it/s]
84%|########3 | 251/300 [00:08<00:01, 27.24it/s]
85%|########4 | 254/300 [00:09<00:01, 27.15it/s]
86%|########5 | 257/300 [00:09<00:01, 27.77it/s]
87%|########6 | 260/300 [00:09<00:01, 27.11it/s]
88%|########7 | 263/300 [00:09<00:01, 25.81it/s]
89%|########8 | 266/300 [00:09<00:01, 25.04it/s]
90%|########9 | 269/300 [00:09<00:01, 25.01it/s]
91%|######### | 272/300 [00:09<00:01, 24.98it/s]
92%|#########1| 275/300 [00:09<00:00, 25.19it/s]
93%|#########2| 278/300 [00:09<00:00, 25.02it/s]
94%|#########3| 281/300 [00:10<00:00, 26.03it/s]
95%|#########4| 284/300 [00:10<00:00, 26.45it/s]
96%|#########5| 287/300 [00:10<00:00, 26.39it/s]
97%|#########6| 290/300 [00:10<00:00, 26.40it/s]
98%|#########8| 294/300 [00:10<00:00, 27.81it/s]
99%|#########9| 297/300 [00:10<00:00, 28.33it/s]
100%|##########| 300/300 [00:10<00:00, 28.78it/s]
100%|##########| 300/300 [00:10<00:00, 27.91it/s]
Best alignment is with the first behavioral event shifted 0.00 s relative to the first synchronization event and has errors: min -3.82 ms, q1 -1.00 ms, med -0.02 ms, q3 0.89 ms, max 3.73 ms, 2 missed events
Excluding events that have zero close synchronization events or more than one synchronization event within `max_len` time
8 recovered (not excluded)
144 recovered (not excluded)
234 recovered (not excluded)
Find cessations of the photodiode deflections
Since we manually intervened for the onsets, on those same trials, we’ll have to manually intervene for the offsets.
On the documentation webpage, this is example is not interactive, but if you download it as a jupyter notebook and run it or copy the code into a console running python (ipython recommended), you can see how to interact with the window to accept or reject the recovered events by following the instructions.
# reject the two false deflections in the middle of the second event
with mock.patch('builtins.input', side_effect=['n'] * 2 + ['y'] * 2):
pd_parser.add_pd_off_events(fname, max_len=1.5, off_event_name='Stim Off')
Reading in /tmp/tmp_mne_tempdir__n31r5wk/sub-1_task-mytask_raw.fif
Opening raw data file /tmp/tmp_mne_tempdir__n31r5wk/sub-1_task-mytask_raw.fif...
Range : 0 ... 2039599 = 0.000 ... 2039.599 secs
Ready.
Reading 0 ... 2039599 = 0.000 ... 2039.599 secs...
Finding photodiode events
0%| | 0/606 [00:00<?, ?it/s]
100%|##########| 606/606 [00:00<00:00, 6930.14it/s]
301 up-deflection photodiode candidate events found
8 recovered but discarded
144 recovered (not excluded)
234 recovered (not excluded)
Overwriting existing file.
Check the results
Finally, we’ll check that the recovered events and the original events match.
annot = _load_data(fname)[0]
raw.set_annotations(annot)
events2, event_id = mne.events_from_annotations(raw)
on_events = events2[events2[:, 2] == event_id['Stim On']]
print(f'Original: {events[corrupted_indices, 0]}\n'
f'Recovered: {on_events[corrupted_indices, 0]}')
off_events = events2[events2[:, 2] == event_id['Stim Off']]
original_off = events[corrupted_indices, 0] + \
np.round(n_secs_on[corrupted_indices] * raw.info['sfreq']).astype(int)
print(f'Original off: {original_off}\n'
f'Recovered off: {off_events[corrupted_indices, 0]}')
Reading in /tmp/tmp_mne_tempdir__n31r5wk/sub-1_task-mytask_raw.fif
Opening raw data file /tmp/tmp_mne_tempdir__n31r5wk/sub-1_task-mytask_raw.fif...
Range : 0 ... 2039599 = 0.000 ... 2039.599 secs
Ready.
Used Annotations descriptions: ['Stim Off', 'Stim On']
Original: [ 65602<PHONE_NUMBER>483]
Recovered: [ 65601<PHONE_NUMBER>482]
Original off: [ 66236<PHONE_NUMBER>131]
Recovered off: [ 73495<PHONE_NUMBER>414]
Total running time of the script: ( 0 minutes 15.498 seconds)


{% extends "base.html" %} {% block view %}create{% endblock view %} {% block content %}
Choose entities to include in the dump. An entity is included if it matches at least one filter.
Sampling:


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question bank
master interview in html
January 05, 2013
browser:
-
what happen when u click on a link.
career cup
- What is default behaviour of anchor and how do you prevent it?
css:
-
detect user agent on css: u want serve different css file on mobile
devices
career cup
- float odd images on left and even on right
overall:
-
What technical details should a programmer of a web application
consider before making the site public?stackexchange
- What is the difference between GET and POST methods?


| CS 216 - Data Structures
Homework #1 |
NOTE: This work is to be done in groups formed in class by Wednesday 1/23.
0. Learn the rules of Poker Squares and play several games. Download the code for our Spring 2013 Poker Squares programming competition.
1. Create and submit your own PokerSquaresPlayer, which should:
Please create a unique name for your player (e.g. one that makes use of team usernames, such as TnellerPokerSquaresPlayer1.java).
Note: If you are having difficulty scoring 80 or higher on average, meet with me to discuss strategies. I have a very simple 15-line implementation of getPlay() that achieves an average of 81.
2. In your "README" plain text file, write 2-3 paragraphs explaining your player design decisions, and describing ways in which you expect the player may be improved. This exercise will plant seeds for the mid-semester competition to come.


Howdy, My name is Piper. I am a 24 year old Jew who has been estranged from their culture after spending their life lost in the diaspora that is the American South.  I left the right because I realized there was no basis to their claims in the material world, but when I arrived in the left I realized , while the positions are correct, the lefties were operating off of feelings just as much as the right wingers were. We’re here to change that. If you don’t have reason for what you believe and cannot structure an argument, you’re gonna have a bad time.


gles_recode_partyvar.Rd
Recode a multiparty-variable in GESIS-Datasets such as the GERMAN LONGITUDINAL ELECTION STUDY (GLES)
gles_recode_partyvar(year = 2017, dataset_input = "gles2017", dataset_output = "gles2017_out", varname = "q52", own = NULL, varlabel = "soz", key = c("a", "b", "c", "d", "e", "f", "g"), partynames = c("cdu", "csu", "spd", "linke", "gruene", "fdp", "afd"), NAs = "<0", plot = TRUE)
| year | year the GLES-study is from. Defaults to 2017. |
|---|---|
| dataset_input | Character string of the name of a dataframe containing the raw data. |
| dataset_output | Character string of the name the output data frame (may already exist or not). |
| varname | Character string of the name of the original variable. |
| own | May apply: Different variable name for own position (on left-right scales, e.g.) |
| varlabel | Character string of the to-be-assigned variable label. |
| key | Character vector containing original alphabetic party keys. |
| partynames | Character vector containing shortname party keys. |
| NAs | Numeric vector containing to-be-assigned NAs/Missing values. |
| plot | Logical T/F: Show relative frequency barplots while plotting. |
A data frame containing output dataframe including newly appended new-variables.
gles_recode_partyvar(year = 2017, dataset_input = "gles2017", dataset_output = "gles2017_out", varname = "q52", varlabel = "soz", key = c("a","b","c","d","e","f","g"), partynames = c("cdu","csu","spd","linke","gruene","fdp","afd"), NAs = c(-97,-98,-99))#> Error in eval(parse(text = paste0(dataset_input))): object 'gles2017' not found


As the principal of Drumahoe Primary School Mr McMaster and the Board of Governors have full responsibility for the management of Kadet Klub.
As the Bursar/Manager Heather has a responsibility for the daily running of Kadet Klub.
"Working at Kadet Klub is challenging but rewarding. It's great to see the kids having fun in a relaxed atmosphere. It makes it worthwhile when you can see a smile on their faces. At Kadet Klub the staff work well together and this also makes my job enjoyable. Not only is it about the kids but it's great getting to know the parents too and to know that their trust is in us to care for their children."
"I enjoy working in Kadet Klub as no two days are the same. I enjoy working with the children and watching them grow from P1-P7. I find it rewarding to see the children develop socially as they make new friends with their peers and come out of their shells through the activities planned. Kadet Klub is enjoyable, meeting new people all the time."
"Everyday I enjoy working at Kadet Klub as kids are a lot of fun to work with. Their honesty and sense of humour make it all worthwhile. Watching each child learn and grow differently as they progress through the school can be very rewarding."
"I like working in Kadet Klub as it is a warm and friendly environment, where all staff work together in a very positive way. On a daily basis there are a range of children who look forward to the different activities planned for them. All children have their own unique personality, and within Kadet Klub they all get the opportunity to express this through art, music and play. I look forward to Kadet Klub everyday as there are different children who attend, and always tell me funny stories about what happened them at home or in class."
"I enjoy working with the children in Kadet Klub. The activities are planned to include all abilities and age groups which gives each child a sense of belonging."
"Working with the pupils in Kadet Klub is very rewarding. As I get to know the pupils, I get to see their individual character which can be totally different in the relaxed atmosphere of Kadet Klub."


V242.8
Experimental - Use as guide only
In the Creature Details table you can select the creature you want breeding information on. The table will show the Incubation Time or Gestation Time as appropriate, the duration of the baby phase and the entire process referred to as Baby Time and Maturation Time respectively, and an estimate of the Total Food required, measured in units selected below.
The Final Weight and Current Weight can be entered to allowed calculation of food buffers and maturation progress. The Final Weight defaults to the base weight of the creature.
The Food Type field lets you select the type of food which will be used to measure the food consumed by the creature(s). Anywhere a quantity is referred to as "food" (rather than "points"), it is the quantity of the selected type of food. Note that none of these values include spoilage.
In the Maturation Status table you can see details of the selected creature's maturation. Maturation Progress measures how complete the maturation is as a percentage. Baby Phase Remaining shows the time remaining until the creature can trough feed. Maturation Time So Far and Maturation Remaining show how old the creature is and how long until it is an adult respectively.
The Baby Phase table shows information on the creature's baby phase.
The Total Food is the total amount of food the creature will require from birth to the end of the baby phase.
The Current Buffer shows the amount of time it will take the baby to eat all the food in its inventory if it is filled with the Food Type selected in the Creature Details table
The Maximum Buffer is the maximum buffer value the baby will achieve before switching to trough feeding. It will achieve this value moments before ending the baby phase, so it is intended only as a guide for entering values in the following field.
In the Desired Buffer field you can enter the amount of time you would like to leave the baby unattended, in minutes. Time Until Buffer will then show you how long until the baby will be able to hold enough food to be left alone that long.
In the Food Details table you will see the amount of food the baby will require per day until maturation, starting from the current point in maturation, again measured in the Food Type selected in Creature Details.
By default these values are calculated for the creature in Creature Details. By selecting Trough Calc Link, you can instead have the figures calculated for the creatures specified in the Trough Calculator.
The values calculated in this table will not include spoilage even if linked to the trough calculator, as spoilage would depend on the contents of the trough throughout the maturation process. Instead you can enter the Loss Factor as a percentage, based on the Loss value in the Trough Calculator. The amount of food for each day is multiplied by the Loss Factor, as a way of very roughly factoring in spoilage.
The Trough Calculator simulates the process of food being eaten from a trough in order to predict losses to spoilage for given configurations.
A Food Type must be specified as, for example, carnivores and herbivores do not eat the same foods, and so effectively operate independently. If you're raising both at the same time, calculate one set, then the other.
Once the Food Type is set, a list of foods will appear fields containing the quantity of stacks of each. This lets you specify how many stacks of each type of food your troughs will contain. These are assumed to be maxed out stacks, which they should be as starting with partial stacks is inefficient.
The Time field shows the amount of time until the food runs out, either through being eaten, or spoilage.
The Total Food field shows the total food cost, in food points and amounts of food. In this table food quantities are simply the numbers of food items, for example 1 Raw Meat plus 1 Cooked Meat is 2 food, even though they are worth different food points.
The Eaten Food and Spoiled Food show the amount of food which was eaten by a creature or spoiled before being eaten respectively.
The Wasted Food field shows the amount of food points lost to other means, and is currently only used for Cooked Meat, which is worth half the food points of the Raw Meat it came from. By cooking Raw Meat to make Cooked Meat, you effectively lose half of the food. Wasted Food quantifies this for Loss calculations.
The Loss value is the percentage of the food which was not eaten, and includes spoilage and wastage. This value is mostly strongly related to the duration the food in the trough lasts, rather than the amount of creatures of amount of food independently. By entering the trough configurations you will likely use and observing the loss value, you can judge a Loss Factor to enter in the Food Details table.
The Trough Calculator - Creatures table lets you enter creature details for use in trough calculations.
Start by pressing Add Creature to add a creature - the default values for the new creature will be taken from the Creature Details table.
Once you have added one or more creatures you may then, for each one, specify the Creature, Current weight and Final weight, and optionally Remove the creature from the list.
For the calculations to be valid, the creature must eat the Food Type selected in the Trough Calculator table. If there is a conflict, the Creature field will be highlighted red.
These creatures are used in the Food Details table if Trough Calc Link is selected in that table.


{% extends base %} {% block style %} {% endblock %} {% block scripts %} {% endblock %} {% block world_content %}
If the world appears to be running slowly, pressing Control+F12 will increase the emulated CPU instructions. Similarly, Control+F11 will decrease emulated CPU instructions.
This file is hosted on The Internet Archive's ZZT Software Library.


Welcome to YACSS, you've reached the homepage! To access rooms, simply add a room name to the end of the current url. We hope you enjoy your stay.


Robert Jakson
Western Block, California
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This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet. Aenean sollicitudin, lorem quis bibendum"
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July 10, 2018
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
July 10, 2018
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
July 10, 2018
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
July 10, 2018
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
July 10, 2018
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
July 10, 2018
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
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