The following is a list of compile dependencies for this project. These dependencies are required to compile and run the application:
| GroupId | ArtifactId | Version | Type |
|---|---|---|---|
| commons-collections | commons-collections | 3.2.1 | jar |
| commons-lang | commons-lang | 2.4 | jar |
| oro | oro | 2.0.8 | jar |
The following is a list of test dependencies for this project. These dependencies are only required to compile and run unit tests for the application:
| GroupId | ArtifactId | Version | Type |
|---|---|---|---|
| hsqldb | hsqldb | 1.7.1 | jar |
| junit | junit | 3.8.1 | jar |
The following is a list of provided dependencies for this project. These dependencies are required to compile the application, but should be provided by default when using the library:
| GroupId | ArtifactId | Version | Type |
|---|---|---|---|
| ant | ant | 1.6 | jar |
| commons-logging | commons-logging | 1.1 | jar |
| javax.servlet | servlet-api | 2.3 | jar |
| jdom | jdom | 1.0 | jar |
| log4j | log4j | 1.2.12 | jar |
| logkit | logkit | 2.0 | jar |
| werken-xpath | werken-xpath | 0.9.4 | jar |
No transitive dependencies are required for this project.
Unknown: Ant, Unnamed - hsqldb:hsqldb:jar:1.7.1, Unnamed - javax.servlet:servlet-api:jar:2.3, Unnamed - jdom:jdom:jar:1.0, Unnamed - log4j:log4j:jar:1.2.12, Unnamed - logkit:logkit:jar:2.0, Unnamed - oro:oro:jar:2.0.8, Unnamed - werken-xpath:werken-xpath:jar:0.9.4
Common Public License Version 1.0: JUnit
The Apache Software License, Version 2.0: Apache Velocity, Commons Collections, Commons Lang, Logging
| Filename | Size | Entries | Classes | Packages | JDK Rev | Debug |
|---|---|---|---|---|---|---|
| ant-1.6.jar | 929.79 kB | 561 | 523 | 24 | 1.1 | debug |
| commons-collections-3.2.1.jar | 561.90 kB | 482 | 458 | 12 | 1.2 | debug |
| commons-lang-2.4.jar | 255.67 kB | 148 | 127 | 9 | 1.2 | debug |
| commons-logging-1.1.jar | 51.67 kB | 34 | 25 | 2 | 1.1 | debug |
| hsqldb-1.7.1.jar | 252.34 kB | 129 | 122 | 4 | 1.1 | release |
| servlet-api-2.3.jar | 76.15 kB | 83 | 63 | 4 | 1.1 | debug |
| jdom-1.0.jar | 149.66 kB | 87 | 75 | 8 | 1.1 | debug |
| junit-3.8.1.jar | 118.23 kB | 119 | 100 | 6 | 1.1 | debug |
| log4j-1.2.12.jar | 349.69 kB | 283 | 253 | 19 | 1.1 | debug |
| logkit-2.0.jar | 79.97 kB | 83 | 67 | 10 | 1.1 | debug |
| oro-2.0.8.jar | 63.73 kB | 74 | 62 | 6 | 1.2 | release |
| werken-xpath-0.9.4.jar | 74.08 kB | 77 | 68 | 5 | 1.1 | debug |
| Total | Size | Entries | Classes | Packages | JDK Rev | Debug |
| 12 | 2.89 MB | 2,160 | 1,943 | 109 | 1.2 | 10 |
| compile: 3 | compile: 881.31 kB | compile: 704 | compile: 647 | compile: 27 | - | compile: 2 |
| test: 2 | test: 370.57 kB | test: 248 | test: 222 | test: 10 | - | test: 1 |
| provided: 7 | provided: 1.67 MB | provided: 1,208 | provided: 1,074 | provided: 72 | - | provided: 7 |
| Repo ID | URL | Release | Snapshot | Blacklisted |
|---|---|---|---|---|
| apache.snapshots | http://people.apache.org/repo/m2-snapshot-repository | - | Yes | - |
| esha-snapshots | https://secure.esha.com/maven/snapshots | Yes | Yes | Yes |
| esha-releases | https://secure.esha.com/maven/releases | Yes | Yes | Yes |
| central | http://repo1.maven.org/maven2 | Yes | - | - |
Repository locations for each of the Dependencies.


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--org.apache.env.WhichCrimson
Get Version information about xml-crimson.
| Field Summary | |
static java.lang.String |
SERVICE_NAME
Our project name. |
| Constructor Summary | |
WhichCrimson()
|
| Method Summary | |
int |
getInfo(java.util.Hashtable hash,
java.lang.String options)
Detects if Parser2 is present and looks for crimson.jar. |
| Methods inherited from class java.lang.Object |
clone,
equals,
finalize,
getClass,
hashCode,
notify,
notifyAll,
toString,
wait,
wait,
wait |
| Field Detail |
public static final java.lang.String SERVICE_NAME
| Constructor Detail |
public WhichCrimson()
| Method Detail |
public int getInfo(java.util.Hashtable hash, java.lang.String options)
hash
- to put information inoptions
- to apply like strict or verbose
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Plastic Thoughts
About
Mariano Pascual v.88
illustrator, visual artist and designer
from Argentina, based in Barcelona.
Focused on design and illustration, his work is characterized by being bold, playful, ironic interpreting shapes through vibrant colors that becomes patterns, textures and compositions. Mixing abstract and figurative elements with geometry and organic structures in a minimal and precise way, he creates scenes that escape reality through fantasy and mystery.
He translates this imaginary universe into a visual language for music producers and labels, editorial projects, brands and collaborations with studios and festivals.
Selected clients and collabs.: DIE ZEIT, The Huffington Post, Pentagram NYC, Winkcreative, AOL, Discotexas, It’s Nice That, Rosebud Inc., AXOO agency, OFFF Festival and exposed his work in various galleries in Spain.
Selected Press
It's Nice That/ Booooooom/ Metal/ Computer Arts/ Lamono/ Fubiz/ Joia/ Staf Magazine/ XOXO The Mag/ Artwort/ Design Playground Italy/ Phenomenon/ NSSMag/ Archive Collective/ La Monda
Exhibitions
‘Plastic Thoughts’ solo show
at Miscelánea Gallery - Barcelona (2018)
‘F*Art Exhibition’
at Teamlabs - Madrid (2017)
’36daysexpo’
at Vasava - Barcelona (2017)
‘36 days of type exhibition’
at LAD Fest - Lima, Perú (2017)
‘Arty Party, Geometry edition’
at StudioStore - Barcelona (2016)
‘Creative Process Exhibition’
at Galería Lucía Mendoza - Madrid (2015)
Projects
-
Pendulum
Pendulum
Pendulum Pendulum
An exploration of time and tension of mechanical structures with a coherent color and continuous rhythm.
-
Trendmap Barcelona
Trendmap Barcelona
Trendmap Barcelona
Trendmap Barcelona Trendmap Barcelona
The coolest guide of Barcelona city, Trendmap, collaborates in every edition with local illustrators. The maps are created for 6 chosen districts with an exquisite selection of trendy points. They invited me for their 6th edition and I designed a modular and playful visual system inspired by totems.
-
Alphabet Artworks
Alphabet Artworks
Alphabet Artworks Alphabet Artworks
I was invited to create a custom K letter as a guest artist for the fourth edition of @36daysoftype project. So, I decided to design not just that letter but all the alphabet, taking inspiration in contemporary works of art inside a museum.
-
Music for Memphis
Music for Memphis
Music for Memphis Music for Memphis
Cassette cover artwork for Matt Wellins cassette tape, a serie of tracks inspired by the Memphis movement.
-
Printed Pages Interview
Paola Antonelli Interview
Paola Antonelli Interview Paola Antonelli Interview
I was commissioned by Printed Pages AW17, the magazine of It’s Nice That to interpret the interview of MOMA’s curator Paola Antonelli on how her advanced vision have transformed the collection of the museum including the popular objects and symbols of our time.
-
Plastic Thoughts
Plastic Thoughts
Plastic Thoughts Plastic Thoughts
“Plastic Thoughts” is a state of absurd fantasy and excessively optimistic, an unreal situation, so ideal that almost lunatic. A kingdom in the clouds, which can not be seen and neither can have shapes. “Plastic Thoughts” is a fictional paradise where everything is perfect and, therefore, it does not even exist.
My first solo exhibition “Plastic Thoughts” took place in the Miscelenea Gallery Barcelona, 2018. The concept of the exhibition is reflected through different sizes of artworks and prints on methacrylate material.
-
Discotexas
Discotexas
Discotexas Discotexas
Artworks created for Discotexas, celebrating one decade of love and passion for music. The record showcases various of Discotexas artists and their most relevant tracks. I also designed a system for the company releases which varies in colors and patterns in the same language.
-
36 Days of Type #1
36 Days of Type #1
36 Days of Type #1 36 Days of Type #1
Contribution to '36 days of type' a online project that invites designers, illustrators and graphic artists to give their particular view on the signs from our alphabet. I create an illustrated type exploring different materials and combinations, in the pursuit of a personal style.
-
Staf Magazine
Staf Magazine
Staf Magazine Staf Magazine
Illustrated logo for Staf Magazine (2016)
-
La Velocidad de una Fiesta
La Velocidad de una Fiesta
La Velocidad de una Fiesta
La Velocidad de una Fiesta La Velocidad de una Fiesta
Promotional postcards for the book 'La velocidad de una fiesta' by Valentina Varas. published by Pánico el pánico. Buenos Aires, Argentina (2016)
-
Daniel & Emma
Daniel & Emma
Daniel & Emma Daniel & Emma
Illustrations for Say Hi To Mag inspired by the product design duo Daniel & Emma. Their products captivated my attention for their simplicity, colors and the playful way of communication. I decided to choose them because I think we share the same passion and admiration for the oriental world, both modern and classic in style. Their geometric shapes and lines make me empathize and identify with the creative duo.
-
Wild & Free
Wild & Free Album Covers
Wild & Free Album Covers Wild & Free Album Covers
I was commissioned by Discotexas label for their band Wild&Free’s vinyl and single covers. Pump up the volume!
-
Roal Dahl Tribute
Roal Dahl Tribute
Roal Dahl Tribute Roal Dahl Tribute
Interpretation of the word 'Lixivate' that means 'being turned into liquid and being squashed at the same time' to celebrate Roald Dahl's 100th birthday published on It's Nice That.
-
Geometric Poetry
Geometric Poetry
Geometric Poetry
Geometric Poetry Geometric Poetry
The independent gallery Studio Store invited me for their collective show “Arty Party-Geometry Edition”
I created the Geometric Poetry for this exhibition in which organic shapes sink in bold geometry and a harmony is hidden in color, structures and compositions like a song or a poem..

-
Cherry Glazerr
Cherry Glazerr
Cherry Glazerr
Cherry Glazerr Cherry Glazerr
Poster artwork for Cherry glazerr & Ian sweet gig at Baby's all right - Brooklyn, NYC. (2016)
-
Read Nothing in Here
Read Nothing in Here
Read Nothing in Here Read Nothing in Here
Serie of illustrations for the book 'Read Nothing In Here' by Seema Sharma. An unscientific exploration into the meaning, function, history and misuse of the word nothing. Published by BIS Publishers - Amsterdam, Netherlands (2016)
-
The Ashton Shuffle
The Ashton Shuffle
The Ashton Shuffle The Ashton Shuffle
The Australian dj and producers commissioned me for the single cover “Penetrate” and spotify playlist artworks for their original and remix tracks and releases.
-
Ghost Army
Ghost Army
Ghost Army Ghost Army
Series inspired by ghost soldiers returning from war dejected, with their skeletons in sight and tired of fighting. Personal project.
-
The Floating World
The Floating World
The Floating World The Floating World
Ukiyo-e prints inspired illustrations, an imagined universe of wit, stylishness, and extravagance—with overtones of futurism and transgression.
-
Noguchi Sculptures
Noguchi Sculptures
Noguchi Sculptures Noguchi Sculptures
Illustration for re:porter magazine by Porter Airlines (Canada) due to the exhibition 'Archaic-Modern' by Isamu Noguchi, who was the most innovative American sculptors of the twentieth century, creating works that were far ahead of his time. At Smithsonian American Art Museum (2016).
-
Astrogeishas
Astrogeishas
Astrogeishas Astrogeishas
Self-initiated project based on the old Japanese prints of the Ukiyo-e period, revisiting some works of Kitagawa Utamaro as homage, but raised to a dystopian, futuristic level. The contrast that is generated between the figures, which recall the traditions of the geisha – their clothes and their hands – as opposed to their face, the landscape and the elements which seem to be from another planet. The geisha faces are without expression, to relinquish them from identity, with nothing to tie into this world.
-
La Aventura
La Aventura
La Aventura La Aventura
A strange, dreamy kind of adventure. A personal work exploring shapes, composition and textures.
-
Velvet Club
Velvet Club
Velvet Club Velvet Club
Poster artwork for Velvet Club - Málaga, Spain. January 2016.
-
La Guerra (War)
La Guerra (War)
La Guerra (War) La Guerra (War)
The violence, caos, clashes and power of a devastating war are given in colors and movements in this personal project. Make love not war.
-
Secret 7
Secret 7
Secret 7 Secret 7
Cover design for Max Richter's 'Dream 3' as a 7" single produced for the secret 7" project supporting Amnesty International UK.
 I really think you should quit smoking.
-
Magic Vases
Magic Vases
Magic Vases Magic Vases
Rub the vase and invite the genie to command your endless wishes.
-
Dark Interiors
Dark Interiors
Dark Interiors Dark Interiors
We all have a dark interior that rises to the surface sometimes. This serie is born through the search of this contradictory, interpreted through black and white with a focus on the halftones and textures.
-
OFFF18 Book
OFFF18 Book
OFFF18 Book OFFF18 Book
Collaboration with the OFFF Barcelona 2018. I was invited to participate on the book ‘The visible an The…” designed by the studio Mucho for the festival. The illustration represents a sloth hanging from a tree in a surrealistic and abstract way. The idea is, you’re able to see the sloth only when you have seen the real picture before and the eye recognizes the figure through the previous experience.
Gallery
-
Welcome to my gallery!
The following personal works
have been created with an artistic approach.Have a look and visit my online store to make them yours.
-
‘I wish you where here’ (2017)
50x70cm glicée print on cotton paper.
Order Here -
‘Madame’ (2016)
‘Venus’ (2016)
30x40cm glicée print on cotton paper.
Order Here -
‘Red dot’ (2017)
50x70cm glicée print on cotton paper.
Order Here -
‘View from the garden’ (2017)
50x70cm glicée print on cotton paper.
Order Here -
‘La Aparición’ (2015)
30x40cm glicée print on cotton paper.
Order Here -
‘A very long story’ (2015)
30x40cm glicée print on cotton paper.
Order Here -
‘Secret directions’ (2018)
50x70cm glicée print on cotton paper.
Order Here -
‘The Master’ (2017)
‘The Apprentice’ (2017)
30x40cm glicée print on cotton paper.
Order Here -
‘What to do about insomnia’ (2017)
50x70cm glicée print on cotton paper.
Order Here -
‘Essay’ (2015)
30x40cm glicée print on cotton paper.
Order Here -
‘Unreal composition’ (2018)
50x70cm glicée print on cotton paper.
Order Here -
‘Candy shop’ (2018)
50x70cm glicée print on cotton paper.
Order Here -
‘Soberbia’ (2017)
30x40cm glicée print on cotton paper.
Order Here
Settings
Change background
Explorer
-
Hello! I'm Mariano Pascual and this is a fresh selection of my latest projects...
Take a quick view
-
Plastic Thoughts
click to see full projectPlastic Thoughts -
TrendMap Barcelona
click to see full projectTrendMap Barcelona -
Alphabet Artworks
click to see full projectAlphabet Artworks -
Paola Antonelli Interview
click to see full projectPaola Antonelli Interview -
36 Days of Type 1
click to see full project36 Days of Type 1 -
Ghost Army
click to see full projectGhost Army -
Daniel x Emma
click to see full projectDaniel x Emma -
Read Nothing in Here
click to see full projectRead Nothing in Here -
Discotexas
click to see full projectDiscotexas


This example requires a device loaded with seed:
alcohol woman abuse must during monitor noble actual mixed trade anger aisle


1. What is your gender?
{% formfield player.s1 label=None %}2. What is your age?
{% formfield player.s2 label=None %}3. What is your field of study?
{% formfield player.s3 label=None %}4.  Do you or your family usually donate to charities?
{% formfield player.s5 label=None %}6. Are you working now?
{% formfield player.s6 label=None %}7. On a scale from 1 to 10, with 1 being the lowest and 10 being the highest, how much do you care about the missions of the charity of your choice?
1
10
8. Which situation would you prefer?
{% formfield player.s8 label=None %}{{ q9 }}. If Alex donated $20 without any rebate, split 10 points between the following states. You should assign more points to the statement that you agree more on. Alex is donating because they care about:
the charity and its mission
the rebate
{{ s9_l }}
{{ s9_r }}
{{ q10 }}. If Alex donated $20 with a rebate of 5%, split 10 points between the following states. You should assign more points to the statement that you agree more on. Alex is donating because they care about:
the charity and its mission
the rebate
{{ s10_l }}
{{ s10_r }}
{{ q11 }}. If Alex donated $20 with a rebate of 95%, split 10 points between the following states. You should assign more points to the statement that you agree more on. Alex is donating because they care about:
the charity and its mission
the rebate
{{ s11_l }}
{{ s11_r }}


{% extends 'base.html' %} {% load static %} {% block metatitle %}
Welcome to the Model My Watershed - Micro Site Storm Model simulator. See how changes in the amount of rainfall, the surfaces on which the rain falls and the texture of the soil change where the water goes. To begin, decide how much rain will fall by using the slide bar on the upper right. Then select the land-cover type where the rain will fall. Finally, pick a soil type. The coarsest soils (sandy soils) are on the left and the finest soils (clay loam) are on the right. As the simulation runs, follow where the water flows. Also, look at the column in the center that shows how much water goes in each direction.
Precipitation for 24-hour storm event
Land Cover
Hydrologic Soil Group
Apply our Site Storm Model to your watershed. Info and help at http://wikiwatershed.org/model/.


Add Gift Given
Friends
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Date Given
If you haven't given the gift yet, where did you put it?


Name:
Alias:
Age:
Country:
Height:
Weight:
Fighting style:
Skill:
Speed:
Strength:
Stamina:
Aggressiveness:
Attack:
Defense:
Logo:
For best results ensure your logo image has a transparent background and is scaled to a square aspect ratio.
Character:
For best results ensure your character image has a transparent background and is scaled to a 1:2 aspect ratio.
Your browser does not support the HTML5 canvas tag.


{% comment %} This template is a copy of the crispy-forms template, and needs to be overidden to work with Bootstrap 4+. Reference: https://django-crispy-forms.readthedocs.io/en/latest/crispy_tag_formsets.html#custom-templates-and-table-inline-formsets {% endcomment %} {% load crispy_forms_tags crispy_forms_utils crispy_forms_field %} {% if formset.errors %}


{{ project.project_name }} {% for report in reports %} {{ report.get_short_text|safe }} See more... {% endfor %}


The Four Musketeers (1975)
Grade: 76
While Director Richard Lester was filming "The Three Musketeers", he realized that he had too much footage for one film. What to do? Break the story into two films, and release them one year apart.
While technically a sequel, "The Four Musketeers" is really the second half of "The Three Musketeers". A brief narration to "The Four Musketeers" attempts to explain the characters and their motives, but someone who has not recently seen "The Three Musketeers" is certain to become confused. It doesn't help that at the end of "The Four Musketeers", there are scenes excerpted from "The Three Musketeers".
An additional problem, from a box office standpoint, is the ending. Action comedies are expected to have a happy ending, but "The Four Musketeers" ends decidedly downbeat. Also, Racquel Welch, arguably the film's biggest draw, has a much smaller role than in the first film.
With these points in mind, it is no surprise that the sequel did not fare as well with critics or at the box office as "The Three Musketeers". But in fact, the films are of roughly equal quality, which is to be expected.
"The Four Musketeers", like its prequel, has excellent sets and costumes, and a very good cast. Michael York stars as D'Artagnan, and Rachel Welch is his love interest. The villians are scheming cardinal Charlton Heston and murderous Faye Dunaway, while the musketeers are played by moody Oliver Reed, sunny Richard Chamberlain, and comical Frank Finlay.
As with the first film, the action scenes are riddled with slapstick. One swordfight takes place on a frozen lake, with the combatants stumbling and sliding. York may be heroic, but he is clumsy (and promiscuous) as well. This is a big budget epic to be enjoyed, with some suspense but little dramatic tension, at least not until the surprisingly dark ending.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.html
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Okay, so I have been smoking pot since high school, 10th grade actually. I'm an honors student, in sports, etc., made it to college and have done well. I wanted to trip in high school but never did. I promised my best friend from school, Amber that I would trip with her first. Well, college came, and with that came the availability to get good mushrooms. Amber, Me, and her boyfriend bought 3.5 eighths of the stuff. Then she brought some Ak-47 pot as a special treat. The week of the trip I was doing well, nothing went wrong, and I was totally psyched to do them. Then, the day came. It was perfect, I was at my apartment with my bestfriend and my girlfriend was gone for the weekend.
We started off with some chill music, Bob Marley and Jimi Hendrix. I was totally happy and after eating a few put on all the black lights and smoked a joint. I felt good. Then, we decided to watch some comedy. It was hilarious and became more so as the shrooms kicked in. After watching comedy for a bit we put on more music and cranked up my black lights. My friends left the room for a second. That's the first mistake they made. I was starting to trip hard but was unaware of it and decided to take more mushrooms. Then they came back and gave me some more. So after just under an hour I had taken an 1/8 on an empty stomach and had smoked a fat joint of ak-47.
At the end of the hour I was tripping hard and blown, but having fun. Then we decided to eat a mushroom pizza. Bad idea. It was okay at first but then mixed with a drink made me start feeling really sick, not to mention I was tripping my balls of now because of the extra mushrooms I had put on the pizza. We talked for awhile and shared the experience. Then it went down hill. I started getting sick and that's what turned me out. My friends didn't inform me that I would feel quezy. Soon this turned into all out stomach upset which sent me into a bad trip.  This got me confused and feeling bad, which further magnified the problem.
Then I flipped out.  My friends were far off, I didn't know them, etc. I then decided to rip the couch up and go to bed. Of course you can't sleep on mushrooms, but I didn't know that. Then I started to talk about calling the cops. My friends got the bright idea to leave and lock me in the house, thinking that I would be safe and that I would calm down b/c no one was around and it was a less confusing enviroment. Big mistake. I called some people and asked what to do, then it all became clear. I talked to the people on the phone and they weren't actually there (they were) but I thought I was just going crazy.
Then I talked to God. That didn't help because I realized that all my friends were out to get me and lead me on the path to hell.  I called my parents. Once on the phone I cried and cried. I'm a grown college male, I don't typically cry. I balled.  I did. My mom kept me on the phone and prayed with me, which calmed me down, and her voice soothed me.
After and hour they arrived. I opened the door hearing the special knock that they had to do before I would let them in. I hugged my dad and lost it. I snoted and cried all over. Then I chilled and they made me take a shower. After that I got in my dad's truck and he drove me home and talked to me and suddenly I realized what had happened. I was straight now and on the way home. Not cool. I talked to him about it and then got to my house and went to bed. After that I woke up believing I had talked to Jesus. After people conviced me otherwise I finally calmed and about two days later I was over the experience. Now, my friends say the mushrooms were wicked strong. They left and slept in there car a few seconds from the my apt.
Since then I took them 2 times and slowly did it by eating just a few, then uping it the next time. Also, I made sure I was in a more friendly enviroment for the next time and kept the idea in my head that it was a false reality. This lead to 2 awesome experiences.
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.


# -*- coding: utf-8 -*- # Copyright 2020 PyPAL authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """PAL using GPy GPR models""" import concurrent.futures from functools import partial import numpy as np from ..models.gpr import predict from .pal_base import PALBase from .schedules import linear from .validate_inputs import validate_gpy_model, validate_njobs, validate_number_models def _train_model_picklable(i, models, restarts): model = models[i] model.optimize_restarts(restarts) return model [docs]class PALGPy(PALBase): """PAL class for a list of GPy GPR models, with one model per objective""" [docs] def __init__(self, *args, **kwargs): """Contruct the PALGPy instance Args: X_design (np.array): Design space (feature matrix) models (list): Machine learning models ndim (int): Number of objectives epsilon (Union[list, float], optional): Epsilon hyperparameter. Defaults to 0.01. delta (float, optional): Delta hyperparameter. Defaults to 0.05. beta_scale (float, optional): Scaling parameter for beta. If not equal to 1, the theoretical guarantees do not necessarily hold. Also note that the parametrization depends on the kernel type. Defaults to 1/9. goals (List[str], optional): If a list, provide "min" for every objective that shall be minimized and "max" for every objective that shall be maximized. Defaults to None, which means that the code maximizes all objectives. coef_var_threshold (float, optional): Use only points with a coefficient of variation below this threshold in the classification step. Defaults to 3. restarts (int): Number of random restarts that are used for hyperparameter optimization. Defaults to 20. n_jobs (int): Number of parallel processes that are used to fit the GPR models. Defaults to 1. """ self.restarts = kwargs.pop("restarts", 20) self.n_jobs = validate_njobs(kwargs.pop("n_jobs", 1)) assert isinstance( self.restarts, int ), "the restarts keyword must be of type int" super().__init__(*args, **kwargs) validate_number_models(self.models, self.ndim) validate_gpy_model(self.models) def _set_data(self): for i, model in enumerate(self.models): model.set_XY( self.design_space[self.sampled[:, i]], self.y[self.sampled[:, i], i].reshape(-1, 1), ) def _train(self): pass # There is no training in instance based models def _predict(self): means, stds = [], [] for model in self.models: mean, std = predict(model, self.design_space) means.append(mean.reshape(-1, 1)) stds.append(std.reshape(-1, 1)) self.means = np.hstack(means) self.std = np.hstack(stds) def _set_hyperparameters(self): models = [] train_model_pickleable_partial = partial( _train_model_picklable, models=self.models, restarts=self.restarts ) with concurrent.futures.ProcessPoolExecutor( max_workers=self.n_jobs ) as executor: for model in executor.map(train_model_pickleable_partial, range(self.ndim)): models.append(model) self.models = models def _should_optimize_hyperparameters(self) -> bool: return linear(self.iteration, 10)


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JMVC implements the MVC pseudo-pattern using vanilla javascript. You can write down your Controllers with your actions. Within the action you can load one or more of your Models, get data from server using asynchronous xhr calls, load one or more Views and at the end render the View tree, populated with data retrieved.
Any page under the jmvc.org domain relies on JMVC, even the 404 page.
Moreover, it gives You a heap of OOP optimized functions and constructors, to speed up any suitable work an turn it
into an extremely funny experience.
The repository is filled out of extensions which provides many useful ready to use objects and widgets.
At the moment, JMVC relies completely on Apache webserver with rewrite module enabled. In fact the single page entry
point is granted by an .htaccess file. With other web server similar files can be used to get the same work
done.
So at least are needed
As alternative absolutely only for development fire up the inner node minimal dummy server
If you feel more confortable with port 80, change port setting in the srv/config.json file, but remember that if port is under 1024, only root will start the server successfully.
$backtotop$Get the source, create a simple virtual host (or fireup node srv), and start playing around. Note that the repository code is exactly this site. To clean all just remove everything within the
Now provide at least an index controller with a action_index function within and visit your virtual
host root.
I strongly recommend to keep all files, look at the code, starting from controllers, and clean up when You
feel ready to dive in.
JMVC relies on a single entry page, the index.html, thanks to a minimal .htaccess file. In that page
the main script looks at the requested url and the result of this operation is that JMVC knows which controller must
be loaded, wich action must be called and what parameters have been passed (dispatching).
Once the Controller is loaded, with a synchronous xhr call, the action function is executed, and within
that function at least a view is supposed to be rendered in the document body (or elsewhere).
Supposing we`re using virtual host http://www.jmvc.dev , a location will be something like the following:
http://www.jmvc.dev/ Cnt/ Act/ n1 / v1 / n2 / v2 / n3 ?v4=Fede&v5=ghe
All parameters (including those ones coming from querystring) will be automatically loaded into the current controller register, meaning that any view rendered from it can use the placeholders to show their value.
HINT: parameters are meant to be even, in the controller You will be able to access and use 2 variables: n1="v1" and n2="v2"; the third one will be ignored because unvalued.
$backtotop$This site relies completely on JMVC and the whole code can be found on GitHub. Take a look at the demo controller for some demos.
$backtotop$ {{extend}} $backtotop$ {{info_outro}}


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
W.P.(MD) No.22310 of 2019 BEFORE THE MADURAI BENCH OF MADRAS HIGH COURT DATED: 22.10.2019 CORAM: THE HONOURABLE MR.JUSTICE M.GOVINDARAJ W.P.(MD) No.22310 of 2019 M/s.Abilash Cement Block rep. by its Sole Proprietor F.Stephen ... Petitioner vs. 1.The District Collector, Kanyakumari District @ Nagercoil, Kanyakumari District-629 001. 2.The District Environmental Engineer, Tamil Nadu Pollution Control Board, Nagercoil, Kanyakumari District-629 001. ... Respondents PRAYER: Writ Petition filed under Article 226 of the Constitution of India for issuance of Writ of Mandamus, directing the 2nd respondent to grant petitioner with the necessary consent under the Air (Prevention and control of Pollution) Act as amended in 1987 and The Water (Prevention and Control of Pollution) act as amended in 1988 to run M/s.Abliash Cement Block at 18/104F, Valavuvilai, Kootamavu, Mulagumoodu Post, Kanyakumari District situated at re-survey No.747/19 of Valvachaghostam village within a specified time frame fixed by this Honourable court on the basis of the 1/4 http://www.judis.nic.in W.P.(MD) No.22310 of 2019 petitioner's application for consent dated 10.7.2019. For Petitioner : Mrs.Victoria Gowri For Respondents : Mr.J.Gunaseelan Muthaiah Addl. Govt. Pleader for R-1 Mr.V.Vasantha Kumar for R-2 ORDER
Mr.J.Gunaseelan Muthaiah, learned Additional Government Pleader, takes notice on behalf of the first respondent and Mr.V.Vasantha Kumar, learned Counsel takes notice on behalf of the second respondent.
2. By consent of both parties, this writ petition is taken up for final disposal at the stage of admission itself.
3.This writ petition has been filed to direct the 2nd respondent to grant the petitioner necessary consent under the Air (Prevention and control of Pollution) Act as amended in 1987 and the Water (Prevention and Control of Pollution) Act as amended in 1988 to run M/s.Abliash Cement Block at 18/104F, Valavuvilai, Kootamavu, Mulagumoodu Post, Kanyakumari District situated at re-survey No.747/19 of Valvachaghostam village within a specified time frame, on the basis of the petitioner's application for consent dated 10.7.2019.
2/4 http://www.judis.nic.in W.P.(MD) No.22310 of 2019
4.The petitioner has started an Industry for manufacturing cement blocks. There was a complaint from the residents of that area about air, noise and water pollution. Therefore, the Executive Engineer of Mulagumoodu Town Panchayat directed the petitioner to obtain No Objection Certificate from the Tamil Nadu Pollution Control Board. For that, the petitioner submitted an application on 10.07.2019 to the second respondent. Even though the application is pending from 10.07.2019, the second respondent has not processed the same. Aggrieved over the non- disposal of the application, the petitioner is before this Court.
5.Without going into the merits of the case, the second respondent is directed to consider the application of the petitioner dated 10.07.2019 on its own merits and take a decision either to accept it or to reject the same, within a period of eight weeks from the date of receipt of a copy of this order.
6.Accordingly, this writ petition is disposed of. No costs.
22.10.2019 Index : Yes / No Internet : Yes / No 3/4 http://www.judis.nic.in W.P.(MD) No.22310 of 2019 vs M.GOVINDARAJ,J.
VS To:
1.The District Collector, Kanyakumari District @ Nagercoil, Kanyakumari District-629 001.
2.The District Environmental Engineer, Tamil Nadu Pollution Control Board, Nagercoil, Kanyakumari District-629 001.
W.P.(MD) No.22310 of 2019 22.10.2019 4/4 http://www.judis.nic.in


| 989 | (A) | Ne no stone in this stede standande were lefte |
| 994 | (C) | Nor no stone in þat place . stondynge vpon other |
| 976 | (D) | Ne no stone in no stede stondyng on loft |
| 956 | (E) | ne no stoon in no stede . laft vp-on oþer |
| (Ex) | ---- no text ---- | |
| 1014 | (L) | be no ston in þe stede stonden a-lofte |
| 929 | (P) | N e no stone in þe stede st??????? on lofte |
| 967 | (U) | Ne ston in that ilk stede / stondyng on loft |
| 54 | (V) | Ne no stone in þe steed . stondand were leved |


First fully static website that I created. It's a website that has tutorials on how to create different navigation bars.
HTML website that uses Bootstrap framework. Shows random compliments when button is pressed.
Template design of a landing page for product x. Static landing page using HTML and CSS.


| Sport | Fun Factor | Ball Shape |
|---|---|---|
| Soccer | 10 | Round |
| Baseball | 1 | |
| Football | 5 | Weird |
| Ther are many kinds of sports, but baseball still sucks |
| First Name | Brad | Benm | Marcia | Leslie |
| Last Name | Miller | Sanders | Ball | Wooley |
| Title | Developer | QA | Project Manager | |
| Start Date | 4/15/2006 | 10/1/1999 | 5/10/1981 | 4/11/1993 |
| BAJBDUIJDHOUUKDUHuiiuuosdueskhhsd9kjgyesouyusyueusdgcyudeguyi |


How the Internet Works
January 1, 2015
When one thinks of the Internet, it's easy to get lost in the hardware compenents of this immense system. Computers, routers, servers, cables, and other devices. All these devices together create the physical network of networks that is the Internet. End points in the system, such as your computer, are called clients. Machines that store information on the Internet are called servers. And the machines that connect the two are called nodes. But underlying the hardware is the second essential component of the Internet: protocols.
There are many protocols important for making the Internet function. First, because computers need to send information to other computers, each computer must have a unique address. This addres is known as an Internet Protocol (IP) address. An IP address can be assigned to you temporarily via your Internet Service Provider (ISP).
Now that our computer has an IP address, how does it transmit a message to another computer? The message must be translated from, say alphanumeric text, to electronic signals, transmitted over the Internet in small packets, and then translated back. This is accomplished through a protocol stack. Most computers have this built into their operating system. The protocol stack used for the Internet is usually referred to as the TCP/IP protocol stack because those are the two major protocols. The protocol layers are listed below:
- Application Protocols Layer: protocols specific to applications such as WWW and FTP
- Transmission Control Protocol Layer: TCP direcs packets to a specific application on a computer using a port number
- Internet Protocol Layer: IP directs packets to a specific computer using an IP address
- Hardware Layer: converts binary packet data to network signals and back
Looking at the picture below, it's easy to see the path of a message being sent from one computer to another.
As the message is sent downward through the stack, it is broken up into smaller packets of data. Packets go through the application layer and to the TCP layer. There they are assigned a port number, which is used to know which program on the destination computer needs to receive the message. The IP layer assigns each packet the destination IP address. The hardware layer turns the message into electronic signals that are then transmitted over the Internet. Eventually a packet reaches its destination, where it moves up the protocol stack and is reconfigured into the appropriate form.
How do packets get sent accross the Internet? Your computer is connected to a modem in your home. This modem connects to your ISP. The ISP has a dedicated modem pool for customers sending a packet of information. A computer controls the flow of data from these modems to a dedicated backbone or line router. This setup is referred to as a port server, because it serves access to the network. So now the packets of information are on the ISP's backbone or a backbone the ISP buys bandwidth from. The packets move through routers and backbones until they find their destination. See the diagram below.
What exactly is a backbone? A backbone is made up of many large networks which interconnect with each other, and are known as Network Service Providers (NSPs). NSPs peer with each other in order to exchange information. Each NSP is required to connect to three Network Access Points (NAPs). At NAPs, packets may move from once NSP backbone to another. NSPs sell bandwitdh to smaller networks, like ISPs. See the diagram below for a hierarchical representation.
How do packets find the correct IP address once they are sent out over this vast network? The answer is with routers and their routing tables. Routers are connected between networks to route packets of information between them. Each router knows about the IP addresses in its sub-networks, but not in networks above it. When a router receives a packet of information, it is able to examine the IP address and scan its own routing tables for a match. If the network containing the IP address is found, the router sends the packet to that network. If the IP address is not found, the router sends the packet to another router higher up the hierarchy. This continues until a packet reaches an NSP backbone. These hold the largest routing tables, so the packet will find the correct backbone and then begin its journey downward through routers until it reaches its destination. In the diagram below, black boxes represent routers, which connect to networks above and below themselves.
Most times, we do not know the exact IP address we want to send a message to, and instead know a webpage, like www.github.com, we'd like to access. (This is a message, but a message requesting the webpage file to be sent to your computer.) In the case of entering a URL, the Domain Name Service (DNS) kicks in. The DNS is a distributed database that keeps track of web address and the correspodning IP address. The database is distributed in that no single server contains the entire database. Instead, servers only contain a subset of the database. If a DNS server does not contain the information requested, the request is redirected to another DNS server. Thus, when you enter a web address in a browser, the browser connects to a DNS server to obtain the IP address. Then the browser connects to the target server and requests the webpage.
To (partially) complete the picture of how the internet works, one must understand Hypertext Transfer Protocol (HTTP). HTTP is the protocol that web browsers and web servers use to communicate with each other. It is an application level protocol because it is used by several applications to talk to one another. When you type a URL into a web browser, assuming it contains a domain name, the browser will connect to a DNS and retrieve the correct IP address. The browser then sends an HTTP request for the desired webpage to the appropriate server. The request is routed through your ISP and backbones, to other servers and down to the correct server. The server checks for the desired page (404 not found happens here), and sends the data back to your browser. The browser examines the page for other elements it needs to download (images, apps) and requests each one idividually from the server. Once all elements are downloaded, the page will be completely displayed in the browser.
Now you know a bit about how the Internet works. It's really as simple as hardware devices connected to each other, equipped with the proper protocols for communicating with each other.
References


This Sunday afternoon I had the priviledge of attending a private screening at the Sony Astor Cinema in New York City, of James Cameron's most heralded film, TITANIC.
Postponed from last Summer, with an escalated budget that makes it the most expensive movie in history, this was one film I was eager to preview.
So, is this movie going to sink or swim this holiday? My best guess....it will sink, though with many awards attatched to its hull.
No doubt, TITANIC is the most elaborate disaster movie ever made. It boasts the most amazing effects that I have ever seen done to date. To see a ship fall apart, with actual people running across the ship, flying across the deck, and falling to the water, is just amazing to look at. The effects are so stunningly realistic, you would swear you were looking at actual footage.
But TITANIC is more than a disaster movie, and that's where the problem lies. There is a love story attatched that nearly ruins the entire premise.
I'll give a capsule summary of the story without spoiling anything for you:
The film begins with a modern day excavation of sorts of the sunken Titanic. We see actual footage of the sunken ship, as Cammeron had set up special cameras to film the wreckage on the ocean floor.
Bill Paxton leads the expedition, in search of sunken treasure.
What he finds instead, leads him to a mysterious old woman who recounts her tale of the Titanic voyage.
We meet Rose (Kate Winslet), a young woman, who comes from an upper-class family. Rose is to be wed to a man she does not love.
We meet Jack (Leonardo DiCaprio), a young man, who comes from a poor financial background, and wins a ticket aboard the Titanic, in a poker game.
The two meet under interesting circumstances, and the love story begins. Add in a jealous fiance, and a not-so-nice law officer played by David Warner, and you have a story that, well, gets a bit overplayed and oversappy.
I must add, at this point, that the most likeable character in the movie is played by Kathy Bates, as a woman with "new money" who is a lot less uptight than the other rich folk on the ship. She is a pleasure to see on screen.
When the ship does hit the Iceberg at exactly 1:40 into the film, and eventually sinks, you never really feel for any of these characters. The film is just loaded with unlikeable rich snobs and other folk you never really get a grasp on.
The effects are tremendous. From the roars of gears and pumps in the engine room, to a doomed ship cracking at the seams, this is an effects picture that looks and sounds like no other.
We saw TITANIC in Dolby Digital surround, and by far, it is the best sounding movie I have ever seen. My friend commented it was the best sound mix he has ever heard. When people are in the water, at film's end, you are surrounded by the voices of lost soles.
TITANIC runs far too long. The movie is 3 hours and 15 minutes in length. And, while most of the first 2.5 hours runs very fast and well-paced, the final 45 minutes almost comes to a sudden stop, and you realize that this sappy love story has to finish itself out before the movie finally ends.
Don't get me wrong about TITANIC....it's not a bad as I am making it out to be. It really is an exceptionaly well-made film. The costumes and sets are incredible, and true to the time period. The ship is painstakingly created exactly true to form, as we see actual pictures of the modern-day wreckage, transformed into the movie depiction. This film will certainly win on effects, costume, set design and sound. Cameron has certainly made his best film to date.
Unfortunately, Titanic is not a Best Picture candidate. It just doesn't have a strong supporting story. It's an exceptional disaster film with sappy filler inside. It just doesn't have the emotional impact that I suspect Mr. Cameron was shooting for.
I predict that Titanic will open to likeable reviews. It is a film worth seeing. I predict that it will only do moderately well at the Box Office. With its extreme running time, and lack of enough robust to get substantial word-of-mouth, I expect that it will do even better on Home Video. This will certainly be the definitive AC3 movie for all you Home Theater enthusiasts.
Titanic opens December 19th, and is released by Paramount Pictures and Twentieth Century-Fox.
I give TITANIC 3 stars (***) out of 4. That's not bad.
Ron Epstein
%
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The Internet Movie Database accepts no responsibility for the contents of the
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


The rules are very simple:
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Time until next infection: {{nextInfectionCountdown}}
Time remaining in current round: {{nextGameSettledCountdown}}
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| {{gameData.playerCount}} | {{gameData.infectedCount}} | {{gameData.deadCount}} |
| Address | Joined | Status | Balance |
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Get advice from an architect<PHONE_NUMBER>
You found 28,732 house plans!
To narrow down your search at our state- of-the-art advanced search platform, simply select the desired house plan features in the given categories, like – the plan type, number of bedrooms & baths, levels/stories, foundations, building shape, lot characteristics, interior features, exterior features, etc. Each time you select a feature in any of these categories, we display all the house plans matching your needs.
Read MoreThere’s a reason: the cozy yet spacious style of the farmhouse is back in style. And Zillow Group home design expert Kerrie Kelly doesn’t think it’s going anywhere for a long time.
“Well-designed, usable spaces, such as an open kitchen or a big farmhouse sink often have a longer shelf life,” she says.
“Farmhouses are also not new. So, it’s fair to say trends inspired by farmhouses are here to stay in at least some capacity.”
A classic farmhouse had a simple rectangular floor plan and included a centrally-located fireplace for cooking and heating. But today’s designs of the farmhouse might remind some design-lovers of a Craftsman-style home with natural elements which boast careful symmetry.
Exterior features are what make the farmhouse most recognizable. They were built to house families without feeling cluttered or overcrowded.
Plantation style homes are considered the mansions of the South. Built during the pre-Civil War era between 1830 and 1860, large families and servants occupied plantation homes together.
Plantation homes have tall French doors, massive windows, wide porches, and often large rooms that take up each corner of the house.
Because of their sophisticated exterior, Greek Revival homes were mainly for the affluent population in the 1800s.
They have classic Greek columns at the front of the home, extending to the top floors. The middle section is the central part of the house, with balanced wings that extend out from either side.
Cracker style homes were ideal for early settlers who needed economic shelter.
They had metal roofing and cedar siding. When early settlers needed economic shelter and were usually elevated on a foundation for storage and later, for basement use.
Victorian homes are most recognizable for their tall turrets. These unique-shaped rooms were sometimes reading nooks, sunrooms, or part of formal living space.
They had colorful exteriors, large porches, and were only for the wealthiest Victorians during the mid-nineteenth century.
Pennsylvania Dutch and Piedmont homes are not as popular as they were a few centuries ago. Historically, they were made out of masonry and served as a simple home for early settlers.


The 15 most expensive homes sold in the US over the past decade, ranked
by Libertina Brandt, Business Insider US- Business Insider teamed up with Jonathan Miller, the president and CEO of the real estate and consulting firm Miller Samuel Inc., to gather a list of the 15 most expensive home sales the US has seen since November 2009.
- Home sales on the list include single-family homes and condos and range from $99 million to nearly $240 million.
- Of the 15 homes that made the list, 14 of them are located in either Florida, New York, or California.
- Visit Business Insider’s homepage for more stories.
The US has long been home to jaw-dropping real estate with expensive price tags.
Jonathan Miller, the president and CEO of real estate and consulting firm Miller Samuel Inc., has spent the past few years compiling all the sales of single-family homes and condos at or above $50 million in the US. He shared his list with Business Insider so that we could round up the 15 most expensive residential sales the country has seen over the past 10 years.
From a number of $100 million mansions to one nearly $240 million penthouse, 14 out of the 15 homes that made the list are located in either Florida, New York, or California – three states with notoriously expensive housing markets.
The only sale that didn’t take place in those markets was a 50-acre property in Greenwich, Connecticut; that home sold for $120 million in 2014.
Keep reading to see the list of the 15 most expensive home sales the country has seen since November 2009.
15. This massive estate in Palm Beach, Florida, sold for $99,130,000 in 2019.
The estate, which is located at 60 Blossom Way, was completed in 2000 and bought by its previous owner in 2017 for $77,060,000.
According to a report by the Palm Beach Daily News, the property spans 3.7 acres and boasts about 320 feet of beachfront access.
T11. This 25,000-square-foot mansion in Los Altos Hills, California, sold in 2011 for $100 million.
This mansion on La Paloma Road, called Palo Alto Loire Chateau, was built to mirror an 18th-century French chateau.
According to a report by The Wall Street Journal, at the time of the purchase, the home featured indoor and outdoor pools, a ballroom, and a wine cellar.
T11. This mansion in Holmby Hills — a neighborhood in Los Angeles, California — sold in 2016 for $100 million.
Also known as the Playboy Mansion, 10236 Charing Cross Road was originally listed for $200 million in January 2016.
As Business Insider previously reported, the property was sold a few months later (for half its asking price) to the next-door neighbor who, at the time of the sale, expressed interest in connecting the two properties.
T11. This property in Malibu, California, sold in 2019 for $100 million.
This property, 27600 Pacific Coast Highway, is located along the legendarily scenic state highway. It includes two guest houses, a tennis court, a spa house, a two-story library, a theater, a gym, and a pool, along with other amenities.
It fell just $10 million short of matching the most expensive home sale in Malibu.
T11. This 10-bedroom mansion in Holmby Hills — a neighborhood in Los Angeles, California — sold in 2016 for $100 million.
As Business Insider previously reported, this mansion, which is located at 301 North Carolwood Drive, was built on speculation and originally listed for $150 million.
The home spans 38,000 square feet and includes everything from private hiking trails to a movie theater complex.
10. A penthouse in Manhattan, New York, sold in 2014 for $100,471,452.
This penthouse is located on the 89th and 90th floors of One57, a residential skyscraper in the Midtown area referred to as Billionaire’s Row.
It spans 11,000 square feet and boasts six bedrooms. Up until 2019, it was the most expensive home ever sold in New York City.
T8. A compound in Malibu, California, sold in 2018 for $110 million.
As Business Insider previously reported, this beachfront home is located on Carbon Beach, also called “Billionaire’s Beach,” which is known for its multimillion-dollar homes and ultra-wealthy residents.
The home, which was designed by Richard Meier, includes a main residence and a guest house.
T8. Three properties on Lily Pond Lane in East Hampton, New York, sold in a single sale in 2016 for $110 million.
Before this sale, the three properties – 93, 97, and 101 Lily Pond Lane – were bought in 2014 for $93.9 million.
According to a report by the New York Post, the properties total 6.4 acres and include 284 feet of oceanfront access.
7. An oceanfront estate in Palm Beach, Florida, sold in 2019 for $110,250,000.
This 13-bedroom property, also known as La Follia, is located at 1295 S. Ocean Blvd, only half a mile from Donald Trump’s Mar-a-Lago resort.
As Business Insider previously reported, it was originally listed in 2018 for $135 million. The property includes 210 feet of private beach, lush gardens, and a private boat dock.
6. A 9-acre estate in Woodside, California, sold in 2012 for $117,500,000.
Until 2019, this home, which is located at 360 Mountain Home Road, was the most expensive residence ever sold in California.
As Business Insider previously reported, the off-market deal took place in November 2012.
5. A massive mansion in Holmby Hills — a ritzy neighborhood in Los Angeles, California — sold in 2019 for $119,750,000.
Also known as The Manor, this home, which is located at 594 S. Mapleton Drive, is the most expensive home ever sold in Los Angeles County, according to the Los Angeles Times.
4. A 51-acre estate in Greenwich, Connecticut, sold in 2014 for $120 million.
Known as Copper Beech Farm, this property, which is located at 499 Indian Field Road, was originally listed in May 2013 for $190 million.
According to a report by Forbes, the price was cut by $50 million in September 2013, and then dropped another $10 million before it closed for $120 million in 2014.
It’s the only home on this list in a state that’s not California, Florida, or New York.
3. Four oceanfront properties in Palm Beach, Florida, sold in 2013 for a total of $129,600,000.
These four properties are located at 20, 30, 40 and 50 Blossom Way.
According to a report by The Real Deal, the buyer owns all the properties along that street. The report also states that many of the properties have been demolished.
2. A massive estate in East Hampton, New York, sold in 2014 for $137 million.
This 18-acre property, located at 60 Further Lanes, was the most expensive home ever sold in the US until 2019.
The sale price was first mistakenly reported as $147 million by several publications in 2014 (though either amount qualified it as the priciest real estate in the country at the time of the sale).
1. The penthouse atop 220 Central Park South, a residential tower in Manhattan, New York, sold in January 2019 for $239,958,219.
This New York City penthouse spans the 50th through the 53rd floor of 220 Central Park South. It currently holds the title as the most expensive home ever sold in the US.
Billionaire hedge-fund manager Ken Griffin bought the property in a record-breaking sale.


This is my first test web page for my IT161 class. It will be testing it in live browser like Chrome or Firefox by clicking on the validator links in the footer of this page.


Sometimes we feel so low and just need someone to speak something to us, we just need to hear something motivational that will make us ginger,here are some of the things you would love to read at that moment
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Chapter 8 Example 1.
The goal of this exercise is to verify the operating conditions of a preset control valve. The sizing of a valve without accessories will be controlled (valve diameter equal to the diameter of the pipes), constant flow, constant pressures both upstream and downstream.
The steps to follow are those:
- Step 1. Specify the variables required for the verification of the valve size.
- Step 2. Read the values of the selected valve.
- Step 3. Determine the flow coefficient \(k_v\), the opening degree for the flow and \(F_L\).
- Step 4. calculate the value of sigma (\(\sigma\)) and its boundaries.
8.1 Step 1. Specify the variables required for the verification of the valve size.
Service data : 1. Water pressure must be managed from 30 bars to 6 bars. 2. The control valve has a diameter of 2.510^{5} mm and is smaller than the diameters of the pipe upstream (2.510^{5} mm) and downstream (2.510^{5} mm) of the valve.
physical constants:
- Fluid : Water
- Water Temperature : 23.3 °C
- Altitude: 0 msal.
- Atmosphere Pressure : 1.01325 bar
- Vapor Pressure : 2.861276710^{-4} bar
- Kinematic viscosity : 9.43e-01 \((mm^2/s)\)
Service Conditions:
- \(P_1 =\) 5.7 bar
- \(P_2 =\) 4.8 bar
- \(\Delta{P}\) 0.9 bar
- \(q =\) 795.6 \(m^3/h\)
- Diameter Pipe Upstream \(D_1\): 2.510^{5} mm
- Diameter Pipe Downstream \(D_2\): 2.510^{5} mm
Valve Design (first approx.):
- Valve: Plunger Valve
- Diameter Valve \(d\): 2.510^{5} mm
- PN-10
- Control Element : Cylinder type Equal Percentage
- Control Characteristic:
8.2 Step 2. Read the values of the selected Control Characteristic.
check the values of the preselected valve (values supplied by the valve producer).
- With the valve 100% open:
- Zeta Value \(\zeta_{vs}\) : 3
- Flow coefficient : \(K_{vs}\) : 1,442 \(m^3/h\)
- liquid pressure recovery factor \({F_{L}}_{s}\) : 0.598
8.3 Step 3. Calculate the required flow coefficient (\(K_v\)).
Using the function (3.1):
\[ K_v = q \cdot \sqrt{\frac {(\rho / \rho_{0})}{\Delta P}} \] the Required \(K_v\) is 837 \(m^3/h\) and the relative flow coefficient is \(K_v/K_{vs}=\) 58%.
Entering the graph of \(k_V/K_{VS}\) with the value of 58% we find the position of the valve required for the flow of 796 \(m^3/h\) and \(\Delta{P}\) of 0.9 bar is 61%.
Or it can be done directly with the \(K_V =\) 837 \(m^3/h\) value of on the \(K_V\) graph.
Knowing that the valve position is 61.44%, it is possible to read the Zeta Value \(\zeta_{v}\) and the Liquid Pressure Recovery Factor \({F_L}\).:
- \(\zeta_{v}=\) 9
- \({F_L}=\) 0.7
- Reynolds Number of the valve 2,465,184
## Warning: Transformation introduced infinite values in continuous y-axis
8.4 Step 4. calculate the value of sigma (\(\sigma\)) and its boundaries.
Using the function (6.2):
\[ \sigma_{1} = \frac{P_2-P_v}{\Delta P_{net}} \]
Sigma value (\(\sigma_{1}\)): 6.427
Incipient Cavitation (\(\sigma_{i}\)): 1.705
Constant Cavitation (\(\sigma_{c}\)): 1.423
Maximum Vibration Cavitation (\(\sigma_{mv}\)): 1.042
8.5 Step 5. Conclusions.
It is good design practice to have a Safety Factor (Surcharge factor) for the maximum expected Kv. It is recommended that \(K_{v}\) be less than or equal to 75% of the \(K_{vs}\). In this exercise, it is 58% which is ok.
The characteristic number \(\sigma_{1}\) determined for the given valve, valve opening, and pressure conditions must be greater than the corresponding numerical values of the cavitation index at which the incipient cavitation (\(\sigma_{i}\)), constant cavitation \(\sigma_{c}\), and maximum vibration levels (\(\sigma_{mv}\)) occur.
with a \(\sigma_{1}\) of 6.427, the valve is in the range of free of cavitation (regime I)


McCarthy Pinpoints Role He Wants Jack Byrne To Play Ahead Of First Irish Start
by Oisin McQueirnsIrish manager Mick McCarthy confirmed on Wednesday that Shamrock Rovers midfielder Jack Byrne will make his first start for the Boys in Green in their friendly against New Zealand.
Byrne has been in brilliant form for his club over the season, which has seen him win the 2019 PFAI Player of the Year award, the FAI Cup as well as his first cap for his country in their victory over Bulgaria last month.
The 23-year-old is one of three youngsters in the squad, along with U21 standouts Troy Parrott and Lee O’Connor, who the Irish boss confirmed will start Thursday’s game.
Byrne impressed in his one and only cap for Ireland when he came off the bench and made a significant impact, having a hand in two goals, but it wasn’t enough to see him included in the squad for the following game against Switzerland.
Speaking to the media on Wednesday as he confirmed the young trio’s inclusion, McCarthy highlighted what he wanted to see from Byrne in his first senior international start.
“It depends on what he thinks his own game is I guess,” he began.
“I want him to do what he does for Shamrock Rovers which is, he gets a hold of the ball, passes it, he creates chances, gets the ball moving, he recycles it for others and doesn’t give it away.
“His deliveries are good. His penalties are excellent I seen that in the cup final that was a great penalty. I want him to show that. It’s not Denmark it’s New Zealand, a big international game and New Zealand are treating it like a big international game and for Jack it will be a chance for him to showcase what he’s got, because he’s got lots.”
McCarthy also outlined that Byrne would be playing in a midfield three against New Zealand and pinpointed his development over the last year since his first involvement in the Irish setup.
“He’s done so so much better in the twelve months. Maybe I’ve influenced that a bit or Terry Connor has, in his all-round game. He’s got no problems with the ball and off the ball he’s done far better.”


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Berón Gamboa
Biography
Berón
I love drawing new shapes. Since I can remember I wanted to see on paper what I should draw.
I love science fiction so magic, occultism, ghosts, demons, angels, mental power... now these themes are my strongest inspiration.
I want to make meaningful drawings in the near future, share ideas in such an amazing drawing, as to make it easy to remember.


Greetings, first let me start of with a little background. I am a 19 year old male, with moderate experience in opiates and all (most) drugs. Since my adolescence, I have suffered from terrible migraines, always leading to vomiting and subsequent relief.
On the particular night in question, I was working cameras at a famous nightclub in Hollywood. It was the second day of me starting my (prescribed) medication Adderall. For those who don't know Adderall is a stimulant add medication consisting of amphetamine salts. Anyway, I took the Adderall in the morning, as prescribed. I believe it affected my blood pressure as later on while working late evening, I was struck with a horrible migraine. I immediately had someone fill for me, and my girlfriend walked me back to her car. I started dry heaving, the pain got much much worse, and I was burning up and pouring sweat. It was the worst pain I had ever felt, yet I digress.
Anyway, I had her drive me home. By this point I was in horrible pain, and I procured one 1600 mcg Actiq lollipop(Fentanyl). I had never tried this before, and was not yet aware that it was the strongest dose, for cancer patients only. I immediately ingested the pop, sucking on it for over 15 minutes. By the time it was gone, I was swimming in the ocean. After that, the pain relief came on swiftly and strongly. I wasn't aware that the liquid isn't meant to be swallowed, only dissolved in your mouth. I felt relief, and I was swimming in an ocean of loving opiates. I also had an increase in libido, almost immediately following ingestion of the Actiq. The Fentanyl also caused me to vomit several more times, although very mild and shortly. Since Fentanyl is short-acting, I shortly after took one 8mg Dilaudid (hydromorphone). I don't remember too much after that, just swimming in my bed for the rest of the night, vague memories of conversation and sex with my girlfriend.
In retrospect, I realize I took a relatively high dose of opiates for a non-tolerant person. However I was suffering from high-level breakthrough pain, and this helped me immensely. It should also be noted that I was very nauseous the next day, and although I woke up around 9a.m., I lied in bed around 3 in the afternoon with almost no food or drink. I also suffered from a 40 minute period of bleak depression. In my case, I would have puked up anything I took so had no other option but for a lolli or injection.
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.


Classes
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11 Sci Maths
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I agree as well. I’m not a fan of sitting back and waiting on nothing. We’ve waited two years for a marketing team to do something, went through three different agencies, and then were told this marketing company would be great. Provided us no timelines on deliverables, dropped the new website out of no where, and hasn’t had any public action since.
2


Google takes on iMessage with RCS-powered messaging experience for Android users
by PradeepGoogle today announced the availability of improved messaging experience for Android users in the US. Google is enabling chat features in the Android Messages app using the power of RCS (Rich Communication Services). With this improved Messages app, unlike regular SMS service, you can chat with others over internet and also send photos and videos
If you already have Messages app installed on your Android device, you’ll get a prompt to enable RCS-powered chat features in the coming weeks. If you don’t have Messages app, you can download it from Google Play Store.
It is important to note that this improved messaging experience on Android is already available in the UK, France, and Mexico.
Source: Google


Badami was the capital of mighty Chalukyas from 540 to 757 AD who ruled Karnataka, Andhra Pradesh & Maharashtra between 6th & 8th centuries. Badami is one of the top destinations of Karnataka Tourism.Badami is famous for cave temples, fortresses, fine carvings, wonderful architecture and breathtaking views.
It is located in a valley at the foot of a red sandstone rock formation that surrounds Agastya Lake. Overlooking the sandstone cave temples, Badami fort and several temples are lined up on the shores of Agastya Lake. Three of the cave temples belong to Vedic faith, the fourth cave is a Jain temple dedicated to Tirtankara Adinatha. It is 72.1km from Badami
Visiting Timings:-9AM TO 5PM
At a distance of 443 Kms from Bangalore, 136 Kms from Hubli, 33 Kms from Bagalkot, 34 Kms from Badami & 13.5 Kms from Pattadakal, Aihole is a historical site in Bagalkot District of Karnataka situated on the banks of Malaprabha River. It is being considered for World Heritage Site status by UNESCO.
Aihole, along with Pattadakal, is considered as the cradle for South Indian Temple architecture. There are more than 125 temples in Aihole constructed between 5th and 8th centuries during Badami Chalukya's rule. Few temples were built during Rashtrakutas and Kalyani Chalukya's rule until 12th century. The temples are built in different architectural styles representing Dravidian, Nagara, Phamsana and Gajaprastha models.
Visiting Timings:-8AM TO 6PM
At a distance of 439 Kms from Bangalore, 122 Kms from Hubli, 45 Kms from Bagalkot, 21 Kms from Badami & 13.5 Kms from Aihole, Pattadakal is a famous heritage site in Bagalkot District of Karnataka situated on the banks of Malaprabha River.
It is a UNESCO World Heritage Site along with Badami & Aihole known as Chalukyan Group of Monuments. Pattadakal is the place where coronation of Chalukyan kings took place. Pattadakal is among the popular Tourist places in Karnataka. Pattadakal, along with Aihole, is considered as the cradle for South Indian Temple architecture.
The main complex has about 10 temples and there are few more temples around the village of Pattadakal. The monuments were constructed between 6th and 9th centuries. The temples at Pattadakal are larger and grandeur with extensive art work compared to the early stage temples of Aihole.
Visiting Timings:-9AM TO 5:30PM
At a distance of 77 Kms from Badami & 10 Kms from Gadag, Lakkundi, situated between Hubli and Hospet is a place of historical importance with about 50 temples and 30 inscriptions from the period of the later Chalukyas, Kalachuris, Seunas and the Hoysalas.
Visiting Timings:-6AM TO 6PM


model.py¶
-
class
model.
Model
(classifier, X, y, val_method, val_size, k, stratify)¶ An instance of this class stores information about a trained classifier. In particular, it contains:
- data for training and evaluation
- classifier object
- classifier’s hyperparameters
- classifier’s name
- user’s comment on the classifier
- performance metrics on training data
- performance metrics on validation data
- performance metrics on test data (if the classifier has been tested)
Variables: - counter (int) – number of existing classifiers, used in default classifier names.
- classifier (sklearn classifier object) – the classifier object, see sklearn documentation for details.
- X (pandas dataframe) – feature values of training data (including training and validation sets)
- y (pandas series) – labels of training data
- name_ (str) – name of the classifier
- type_ (str) – type of the classifier (defined in child classes)
- comment_ (str) – user comment on the classifier
- params_ (dict) – hyperparameters of the classifier (see sklearn classifier documentation for details)
- train_metrics (ModelMetrics) – performance metrics of the classifier on training data
- val_metrics (ModelMetrics) – performance metrics of the classifier on validation data
- test_metrics (ModelMetrics) – performance metrics of the classifier on test data
-
_Model__cross_validation
(classifier, X, y, k, stratify=True)¶ Performs classifier validation through cross-validation. This function is also used by leave-one-out validation.
Parameters: - classifier (sklearn classifier object) – classifier for validation
- X (pandas dataframe) – feature values of training data (including training and validation sets)
- y (pandas series) – labels of training data
- k (int) – number of folds
- stratify (bool) – draw samples according to class proportions or not
Returns: performance metrics on training and validation data
-
_Model__hold_out_validation
(classifier, X, y, val_size, stratify=True)¶ Performs classifier validation using held-out data.
Parameters: - classifier (sklearn classifier object) – classifier for validation
- X (pandas dataframe) – feature values of training data (including training and validation sets)
- y (pandas series) – labels of training data
- val_size (float) – percent of validation data
- stratify (bool) – draw samples according to class proportions or not
Returns: performance metrics on training and validation data
-
__init__
(classifier, X, y, val_method, val_size, k, stratify)¶ Constructs a new instance of the class.
Parameters: - classifier (sklearn classifier object) – the classifier object, see sklearn documentation for details.
- X (pandas dataframe) – feature values of training data (including training and validation sets)
- y (pandas series) – labels of training data
- val_method (str) – validation method (‘holdout’, ‘cv’, ‘loo’)
- val_size (float) – percent of validation data (only used when val_method=’holdout’)
- k (int) – number of folds (only used when val_method=’cv’)
- stratify (bool) – draw samples according to class proportions or not
-
__weakref__
¶ list of weak references to the object (if defined)
-
clear
()¶ Starts the counter from zero.
-
comment
()¶ Returns comment on the classifier.
Returns: comment on the classifier
-
metrics
(option)¶ Returns performance metrics on the specified data.
- option=’train’: metrics on training data
- option=’val’: metrics on validation data
- option=’test’: metrics on test data
Parameters: option (str) – ‘train’, ‘val’ or ‘test’ Returns: performance metrics on the specified data
-
name
()¶ Returns name of the classifier.
Returns: name of the classifier
-
params
()¶ Returns hyperparameters of the classifier.
Returns: hyperparameters of the classifier
-
plot_decision_regions
(option, canvas)¶ Plots data with decision regions. This is only enabled for data with 2D continuous features.
- Reference:
- http://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
Parameters: - option (pandas dataframe) – ‘train’ or ‘test’
- canvas (FigureCanva) – the canvas where the plot is drawn
-
predict
(X, path)¶ Predicts labels for new data using the classifier. Saves the prediction in a new file.
Parameters: - X (pandas dataframe) – features values of new data
- path (str) – where the prediction is saved
-
set_comment
(comment)¶ Sets comment on the classifier.
Parameters: comment (str) – user-supplied comment
-
summary
(view)¶ Displays a summary of classifier performance. The summary is organized in a tree structure.
Parameters: view (QTreeWidget) – the widget where the summary is displayed
-
test
(X, y)¶ Tests a classifier. This function adds performance metrics on test data.
Parameters: - X (pandas dataframe) – feature values for test data
- y (pandas series) – labels for test data
-
type
()¶ Returns type of the classifier.
Returns: type of the classifier
-
class
model.
DecisionTree
(classifier, X, y, val_method, val_size, k, stratify)¶ An instance of this class stores information about a trained decision tree classifier. It inherits the Model class.
-
__init__
(classifier, X, y, val_method, val_size, k, stratify)¶ See Model class.
-
-
class
model.
RandomForest
(classifier, X, y, val_method, val_size, k, stratify)¶ An instance of this class stores information about a trained random forest classifier. It inherits the Model class.
-
__init__
(classifier, X, y, val_method, val_size, k, stratify)¶ See Model class.
-
-
class
model.
KNearestNeighbors
(classifier, X, y, val_method, val_size, k, stratify)¶ An instance of this class stores information about a trained K-nearest neighbors classifier. It inherits the Model class.
-
__init__
(classifier, X, y, val_method, val_size, k, stratify)¶ See Model class.
-
-
class
model.
LogisticRegression
(classifier, X, y, val_method, val_size, k, stratify)¶ An instance of this class stores information about a trained logistic regression classifier. It inherits the Model class.
-
__init__
(classifier, X, y, val_method, val_size, k, stratify)¶ See Model class.
-
-
class
model.
NeuralNetwork
(classifier, X, y, val_method, val_size, k, stratify)¶ An instance of this class stores information about a trained neural network classifier. It inherits the Model class.
-
__init__
(classifier, X, y, val_method, val_size, k, stratify)¶ See Model class.
-
-
class
model.
SVM
(classifier, X, y, val_method, val_size, k, stratify)¶ An instance of this class stores information about a trained SVM classifier. It inherits the Model class.
-
__init__
(classifier, X, y, val_method, val_size, k, stratify)¶ See Model class.
-
-
class
model.
NaiveBayes
(classifier, X, y, val_method, val_size, k, stratify, mode)¶ An instance of this class stores information about a trained naive bayes classifier. It inherits the Model class.


Global #ClimateStrike, Sept 20th 2019
Assembly @ Ashmount Primary School
I'm Ben's dad (3G), my name is Thomas.
- hit space to go through this presentation, esc for the overview -
Let's start with a quick history of our planet.
We need to go back to 70 million years ago, long before humans inhabited this planet
Back then, in an period called Cretaceous...
dinosaurs still roamed the world
climate was much warmer and humid
oceans were higher and ice caps didn't exist
One of the reasons for warm climate during that time was the high level of greenhouse gases (GHG)
The primary GHGs in Earth's atmosphere are water vapor, carbon dioxide and methane
Greenhouse gases absorb energy from both the sun and the Earth's surface, and emit it back into the atmosphere
For millions of years, trees have sucked carbon dioxide from the atmosphere
storing carbon in wood while growing, and releasing oxygen in the air
then dying and going underground to transform, becoming coal and oil
Fast forward 70 million years, from the last Triceratops and T-Rex
to 1750!
Our planet had substantially cooled off from the Cretaceous period
And something beautiful was about to happen...
Europe and the United States went from hand production methods to machines
We started using machines powered by steam
We invented new processes to produce iron
We've become richer, healthier and longer living
The population has increased from ~1Bn to ~8Bn and moved to the cities
We need bigger buildings, more food, more cars, more Playstations! 🤩 🏢 🌭 🚗 🎮
All of this comes at a price...
We need more energy, a lot of it
So we use what we have readily available:
coal, gas and oil, AKA fossil fuels
We are taking carbon from undergound, where it has been stored for millions of years
We burn it with oxygen, releasing carbon dioxide to the atmosphere
All these GHGs warm the planet, bringing back the clock to the dinosaurs period
Ice caps will melt, oceans will rise, deserts will expand, and there are now ~8Bn of us on Earth
we need to stop burning fossil fuels
and start capturing carbon dioxide from air
and we need to do it pretty fast! we have about 15 years to change and avoid the worst consequences of climate change
Everywhere! reasons for climate change are evenly spread across all sectors
Now the good news:
no one is too small to make a difference!
Use public transport, walk to school, reduce use of private vehicles to a minimum
we are producing more electric cars, but we will need 10x more energy, where is it going to come from?
have a shower instead of a bath, use warmer clothes during winter, improve insulation at home, get rid of natural gas for heating systems if you can
"electrification of heat" is happening, but we will need 10x more energy, where is it going to come from?
We need to use alternatives to fossil fuels:
wind, sun, rivers, oceans and nuclear
and we need to find better ways to store this energy
Reduce single use plastics wherever you can
Think before you buy!
Kinder eggs, bottles of water, pasta, toothpaste, shampoo, toys, vegetables.
All is wrapped in plastic
Try to eat mainly plants, eat less meat,
try to avoid beef and dairy
here just a couple of examples:
Plastic Patrol: a global movement to clean up the planet from plastic
Trees for Cities: a UK charity working to improve lives by planting trees
climate change is a complex matter: read, watch videos, investigate, don't trust without thinking
even all the things I just said, are they all true?
I'm sorry about this situation,
we messed this up. I did.
Your parents and grandparents did.
And now we need your help to fix this mess.
So back to my initial question:
We are here because we want our voices heard
We want all governments on Earth to do something for climate change NOW
And we need your voices to be heard among everybody else's
We are here because we raise all our voices together in a #ClimateStrike
In August 2018, at 15 years of age, Greta Thunberg took time off school to demonstrate outside the Swedish parliament
Many students joined her, and together they organized a school climate strike movement, under the name Fridays for Future.
Watch Greta's speech at UN Climate Change COP24 Conference
Like Greta, you can be part of the movement that empowered all children to tell adults the truth.
You can join the strike today at 11am in school
And tell everybody that change is coming whether we like it or not!
You know, I am a big fan of Marvel movies
and one of my favourite super heroes is Black Panther
I see him, and the place where he lives, and it gives me hope
I have this image in my mind of a beautiful city in the future that lives in harmony with nature
Let's build a bright future together
for the full list, please visit the notes page
below here some extracts with images
Humanity’s fossil-fuel use, if unabated, risks taking us, by the middle of the twenty-first century, to values of CO2 not seen since the early Eocene (50 million years ago)
Source: Nature
Human activities since the beginning of the Industrial Revolution (around 1750) have produced a 45% increase in the atmospheric concentration of carbon dioxide (CO 2), from 280 ppm in 1750 to 415 ppm in 2019. [...]
The vast majority of anthropogenic carbon dioxide emissions come from combustion of fossil fuels, principally coal, oil, and natural gas.
Source: Wikipiedia
By burning coal, oil, and natural gas, we accelerate the process, releasing vast amounts of carbon (carbon that took millions of years to accumulate) into the atmosphere every year.
Source: NASA's Earth observatory
Ethical considerations, and the principle of equity in particular, are central to this report, recognizing that many of the impacts of warming up to and beyond 1.5°C, and some potential impacts of mitigation actions required to limit warming to 1.5°C, fall disproportionately on the poor and vulnerable (high confidence)
Source: IPCC special report
To prevent the worst effects of climate change, we need to get to zero net greenhouse gas emissions in every sector of the economy within 50 years—and as the IPCC recently found, we need to be on a path to doing it in the next 10 years.
Source: Gates Notes
Greenhouse gases: Image by A loose necktie, CC BY-SA 4.0, Link. Forest: Photo by Sebastian Unrau on Unsplash. Steam train: Photo by Keith Bremner on Unsplash. Tokyo 1: Photo by Fabrizio Chiagano on Unsplash. Refinery: Photo by zhao chen on Unsplash. Westminster: Photo by Aron Van de Pol on Unsplash. House: Photo by Scott Webb on Unsplash. Wind turbines: Photo by Nicholas Doherty on Unsplash. Tokyo 2: Photo by Jezael Melgoza on Unsplash. Field: Photo by Jörg on Unsplash. Bicycles: Photo by Everton Vila on Unsplash. Bookshelves: Photo by Laëtitia Buscaylet on Unsplash.


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@*
* Copyright 2020 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@(requestObject: RequestObject, groupSchemeActivity: String, index: Int, trusteeDetails: Form[models.TrusteeDetails])(implicit request: Request[AnyRef], flash: Flash, context: config.ErsContext, messages: Messages)
@import uk.gov.hmrc.play.views.html.helpers
@import utils.PageBuilder._
@import views.html.helpers.error_overview
@import views.html.templates._
@schemeId = @{requestObject.getSchemeId}
@scripts = {
}
@ers_main(title = Messages("ers.add_trustee.page_title"), scripts) {
@reference(requestObject.getPageTitle)


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Web Dev Revisited 4/10/16


Hello! my name is Nima Abdi
About Me
My Name is Nima Abdi
I am a second year Computer Science Student at Zetech University
I am full stack developer specialized in:
- Web Develpment
- App Development
- Networking
- Cyber security
Im a also one of the founders of Ruun Bakers


Created on 04/06/2012
@author: victor
Created on 06/06/2012
@author: victor
Bases: object
Returns the percent of noise elements in the dataset.
Returns the maximum number of clusters needed to have a percent of the total number of clustered elements.
Returns the percentage of elements of the clustering that are in the 4 bigger clusters.
Returns the percent of elements over the total number of elements of the clustering, that have been clustered into the bigger cluster.
Returns the number of elements that are clusterized in this clustering (which may not be the total number of elements of the dataset if there were noisy elements)
Create an instance of all possible analysis. If you’re not able to create it... you’re not able to use it.
@param matrix_handler: Is the matrix handler object, or any object containing a .distance_matrix value.
@param trajectory_handler: Is the trajectory handler object, with structural info.
Creates a calculator using a class. @param clustering: Clustering to be evaluated. @param key_args: A dictionary containing two mandatory keys: ‘class’ with the class of the calculator to be use and ‘matrix’, which contains the distance matrix @return: The valua of the evaluation.
Created on 29/05/2012
@author: victor
Simply appends one analysis to the analysis queue (the analysis we want to do).
@param analysis: An ‘Analysis’ instance.
Runs all analysis for all clusterings in the clustering_info structure and recovers the results of this analsis to attach them into the clustering_info structure.
Adds one process to the scheduler which will run all the analysis in the analysis queue for one clustering. The analysis are not executed instantaneously but when the calculating function is used.
@param clustering_id: The clustering_id of the clustering we are going to work with.
@param clustering_info: The ‘clustering_info’ structure with the clustering to be analyzed.
Adds one process to the scheduler which will run all the analysis in the analysis queue for each of the clusterings in the clustering_info structure. The analysis are not executed instantaneously but when the calculating function is used.
@param clustering_info: The ‘clustering_info’ structure with the clustering to be analyzed.
Is the function to be run in parallel.
@param clustering_id: Is the id of the clustering we are working with.
@param clustering: A Clustering instance.
@param analysis: A list of all the analysis we want to perform.s
@param observer: An observer to communicate messages.


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I'd like to define a function E from ℝ^n to ℝ^n as the fixed point of a contraction mapping (or equivalently I think as the solution to a variational inequality). Is this easy to do? What files should I be looking at?
One of my students proved the contraction mapping theorem for metric spaces... @Luca Gerolla did you ever PR this?
It's currently not easy. There is a pending PR on contraction mapping, but I don't remember what is proved there exactly
https://github.com/leanprover/mathlib/pull/428
Thanks! I'll have a look at that but if it's not easy I might just declare it as a constant :)
That PR needs to be reworked to use https://github.com/leanprover/mathlib/commit/4a013fb04d6e504be8582ad610016d8dcce3e5f3
and probably extract more lemmas out of the big proofs
compare https://github.com/leanprover/mathlib/pull/428/files#diff-6f3fee1c28d757f0199c3512ffc8e5e9R83 and https://github.com/leanprover/mathlib/commit/4a013fb04d6e504be8582ad610016d8dcce3e5f3#diff-5edb379056f11c116887dcff6e8bed0dR366 for instance
If I think I can help with that I will but I suspect it'll be beyond me.
Yes, I think everything in the file analysis/topology/metric_sequences.lean
of the PR is now already in the library. But the result on the Banach contraction is not.
Alistair, updating that PR in order to replace stuff that came to mathlib in the meantime should be a nice exercise
Refactoring the big proof is much more difficult
Luca reminds me that it was in fact @Rohan Mitta who was doing the contraction mapping theorem.
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