Chapter 33. Data Organization Utilities
IN THIS CHAPTER
The data organization utilities affect the physical data sets of the DB2 objects for which they are run. Rows of data and their sequence are affected by these utilities. The data organization utilities are LOAD, UNLOAD, and REORG. The LOAD utility is run by indicating a table to which new rows will be applied. UNLOAD reads rows from a table and puts them into an output data set. REORG is run at the table space or index level, moving data to optimal locations in the data set.
|


Acoustic Grand Piano: Piano
0.0.Piano_321Grand_32Piano_32_45SC88_461_460_45127_file.html
Acoustic Guitar (steel): Guitar
25.0.Good_Acoustic_GuitaGood_Acoustic_Guita_461_46101_45120_file.html
Electric Guitar (muted): Guitar
28.0.Les_32MuteMuted_32Tones_461_460_45127_file.html
Distortion Guitar: Guitar
30.0.Les_32SustainOpenTones_461_460_45127_file.html
Guitar Harmonics: Guitar
31.0.Les_32HarmonicHarmonics_461_460_45127_file.html
Drums
128.128.FirstInst_460_file.html


A 10-foot-radius invisible sphere of antimagic surrounds you. This area is divorced from the magical energy that suffuses the multiverse.  Until the spell ends, the sphere moves with you, centered on you.
Spells and other magical effects, except those created by an artifact or a deity, are suppressed in the sphere and can't protrude into it. A slot expended to cast a suppressed spell is consumed. While an effect is suppressed, it doesn't function, but the time it spends suppressed counts against its duration.
Targeted Effects. Spells and other magical effects, such as magic missile and charm person, that target a creature or an object in the sphere have no effect on that target.
Areas of Magic. The area of another spell or magical effect, such as fireball, can't extend into the sphere.
If the sphere overlaps an area of magic, the part of the area that is covered by the sphere is suppressed.
For example, the flames created by a wall of fire are suppressed within the sphere, creating a gap in the wall if the overlap is large enough.
Spells. Any active spell or other magical effect on a creature or an object in the sphere is suppressed while the creature or object is in it.
Magic Items. The properties and powers of magic items are suppressed in the sphere. For example, a + 1 longsword in the sphere functions as a nonmagical longsword.
A magic weapon's properties and powers are suppressed if it is used against a target in the sphere or wielded by an attacker in the sphere. If a magic w eapon or a piece of magic ammunition fully leaves the sphere (for example, if you fire a magic arrow or throw a magic spear at a target outside the sphere), the magic of the item ceases to be suppressed as soon as it exits.
Magical Travel. Teleportation and planar travel fail to work in the sphere, whether the sphere is the destination or the departure point for such magical travel. A portal to another location, world, or plane of existence, as w ell as an opening to an extradimensional space such as that created by the rope trick spell, temporarily closes while in the sphere.
Creatures and Objects. A creature or object summoned or created by m agic temporarily winks out of existence in the sphere. Such a creature instantly reappears once the space the creature occupied is no longer within the sphere.
Dispel Magic. Spells and magical effects such as dispel magic have no effect on the sphere. Likewise, the spheres created by different antimagic field spells don't nullify each other.


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John Doe
<EMAIL_ADDRESS>About Me
I am a senior in Computer Science> I enjoy making websites and deploying servers! I love to work in groups and have a great eye for detail.
Skills
Front End
Back End
Social Media Marketing
Software Testing
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Databases
Quality Assurance
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building the future ALL want, for everybody
index, about
saferAI.com has a five years plan:
We'll let you know when the years start counting.
saferAI.com is here to take the AI safety concern from the people and give it to them, the big companies.


"ENGINES "(1.) Hebrews hishalon i.e., “invention” (as in Ecclesiastes 7:29) contrivances indicating ingenuity. In 2 Chronicles 26:15 it refers to inventions for the purpose of propelling missiles from the walls of a town, such as stones (the Roman balista) and arrows (the catapulta). (2.) Hebrews mechi kobollo, i.e., the beating of that which is in front a battering-ram (Ezekiel 26:9), the use of which was common among the Egyptians and the Assyrians. Such an engine is mentioned in the reign of David (2 Samuel 20:15).
"ENGINES "(1.) Hebrews hishalon i.e., “invention” (as in Ecclesiastes 7:29) contrivances indicating ingenuity. In 2 Chronicles 26:15 it refers to inventions for the purpose of propelling missiles from the walls of a town, such as stones (the Roman balista) and arrows (the catapulta).
(2.) Hebrews mechi kobollo, i.e., the beating of that which is in front a battering-ram (Ezekiel 26:9), the use of which was common among the Egyptians and the Assyrians. Such an engine is mentioned in the reign of David (2 Samuel 20:15).


Insert your ingredients and we suggest recipes you can cook with them or with the help of some other.
...to help people who want to cook with minimal effort to reduce their preparation time with
quality assured and supermarket specific recipes.


Fogo Natural Park Venue / OTO
- Curated by Fernanda Castro
- about 3 hours
- version="1.0" encoding="UTF-8"? Architects: OTO
- AreaArea of this architecture projectArea: 3200.0 m2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2013
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: Fernando Guerra | FG+SG
- Project Team André Castro Santos, Miguel Ribeiro de Carvalho, Nuno Teixeira Martins, Ricardo Barbosa Vicente
- Specialties Eng. Amado Alves | Eng. Maria João Rodrigues + Eng. João Parente | Prosirtec | Matriz Engenharia
- Contractor Armando Cunha
- Client Ministry of Agriculture
- Financier KFW | General coordination, GOPA
More Specs Less Specs
Text description provided by the architects. On Fogo Island at an altitude of 1800 meters, amidst the crater of the volcano, lies a village of about 1200 inhabitants which live on the fringes of legality, occupying State-owned land where agricultural activities are organized and carried out, as a means of subsistence, in one of Cape Verde’s poorest regions. The status of a protected area of national interest, forced the zoning of farming, with obvious limitations to construction, and introduced rules against the free occupation of the town, generating collisions of interests with frequent clashes.
The outlines for the project, therefore, rise from the need to consolidate the identity of this protected region, providing a basis for the conciliation of the population with the new park management. Spaces for cultural and recreational interplay were thought of as a feasible solution, both for the people of Chã das Caldeiras, as well as for visitors.
The natural landscape, strikingly marked by the volcano and its crater, possesses a unique and rare beauty, aspiring to become a world heritage site. The idea was therefore to achieve a balanced solution, where architecture and landscape become accomplices, complementary to each other.
The mass of the building is constituted of a continuous skin, composed of local black masonry block - a mixture of cement and ashes from the volcano. Ashes are also used to cover the roof and exterior areas, blending nature and construction in a natural symbiosis. During the daytime, the long walls outline the building and blend with the road, suggesting the existence of spaces through an interplay of shadows. At night, bright light is avoided as a means to protect native birds.
To address the in-existence of any previous public utility infrastructure, the building was thought of as a self-sufficient unit. Photovoltaic roof panels absorb sunlight which is then stored in batteries providing necessary power resources for the building. In order to save energy, all ventilation systems are passive. Facade integrated grid systems allow the control of internal temperatures, taking advantage of the building´s thermal inertia, which enables heat accumulation during daytime and natural ventilation during the night.
Water supply was also a challenge. Rainwater is received and directed along the top of the building to a storage tank, from which it can be used both as irrigation and domestic water. Grey waters are recollected, recycled and pumped back into the system.
The building is divided into two main areas: Cultural, composed of an auditorium, an open-air theatre, library, and terrace-caffè. Administrative, which comprises meeting rooms, offices, laboratory, and technical areas. A succession of sloped terrain composes the out-of-door areas, extending from the rooftop to the main patios of the building, where representative plant species of the natural park, are planted, merging it with the surroundings.
With the Headquarter fully operational, Natural Park is increasingly valued, which contributes to enrich the social, cultural and economic sectors of the island, starting to integrate and enhance in a harmonious way the surrounding space. The challenges of shortage of local resources became an opportunity and, therefore, the building was made by the people and for the people, using local materials and techniques.
Originally published June 18, 2014.


1. What is the source of banned drugs?
Source : link
2. Why the Ingredient i am providing in "My Ingredients" not getting prepopulated?
So the ingredient you are providing is not even part of combinations published by the government. (Yet the website author does not endorse it is safe. So it is your responsibility to check the credibility of the drug you are using).


Karma
JavaSrcipt Test Runner
Created by XueQian
2015/12/05
##Agenda
---
- Karma?
- How to use?
+ Install
+ Configuration
+ Start
+ Using IntelliJ Run
+ Using Grunt
- Features
- Other Test Runner (Brief Introduction)
### Karma?
On the AngularJS team,we rely on testing and we always seek better tools to make our life easier.
That's why we created Karma- a test runner that fits all our needs.
---
>The main goal for Karma is to bring a productive testing environment to developers.
The environment being one where they don't have to set up loads of configurations,but rather a place
where developers can just write the code and get instant feedback from their tests.
Because getting quick feedback is what makes you productive and creative.
Make your test-driven development easy, fast, and fun.
### Karma?
Karma is not a testing framework, nor an assertion library.
---
Karma just launches a HTTP server, and generates the test runner HTML file you probably already know
from your favourite testing framework.
Karma (Testacular)
##install
Karma runs on Node.js and is available as an NPM package.
- Install Karma:
> $ npm install karma --save-dev
- Install plugins that your project needs:
> $ npm install karma-jasmine karma-chrome-launcher ...... --save-dev
##configuration
> $ karma init my.conf.js
![](./image/config.png)
##configuration
- Files
+ basePath
+ Ordering
+ pattern properties(watched, included, served, nocache)
+ Preprocessor transformations
##configuration
- Browsers
![](./image/browser.png)
+ the browsers configuration setting is empty by default.
##configuration
- Preprocessors
+ ![](./image/processor.png)
+ $ npm install -g istanbul
+ npm install karma karma-coverage --save-dev
##configuration
- Plugins
+ In fact, all the existing preprocessors, reporters, browser launchers and frameworks are also plugins.
+ Installation (npm install karma-(plugin name) --save-dev)
+ Loading Plugins
##start
- Run karma:
> $ ./node_modules/karma/bin/karma start my.conf.js
- Install Karma Commandline Interface:
> $ npm install -g karma-cli
---
> $ karma start my.conf.js
##Run Configuration using intelliJ
##Grunt-Karma
> npm install grunt --save-dev
> npm install grunt-karma --save-dev
- Run tests from browsers or PhantomJS
- Run on multiple clients at once
- Supports multiple JavaScript test frameworks
- Auto-run tests on save
- Reporters
- Plugins
- Supported by IntelliJ and WebStorm
- Open source
---
- No plugin for Eclipse (yet)
- No history of previous test results
## JavaScript Test Runner
- [wallaby.js](http://wallabyjs.com/)
- [Chutzpah](http://mmanela.github.io/chutzpah/)
- [Buster.JS](http://docs.busterjs.org/en/latest/)
- [testem](https://github.com/testem/testem)
- .......


author: John Kendrick address: School of Chemistry, University of Leeds, Leeds, LS2 9JT United Kingdom. eMail<EMAIL_ADDRESS>author: Andrew Burnett address: School of Chemistry, University of Leeds, Leeds, LS2 9JT United Kingdom title: PDGUI email<EMAIL_ADDRESS>Bibliography: ./pdielec.bib
[INCLUDE=”style”]
<!– Comment out some of the options –> <!– Csl Style: ieee –> <!– Math Mode: static –> <!– [INCLUDE=”style”] –> <!– Colorizer: javascript –> <!– Doc class: [10pt]article –>
~ MathDefs newcommand{water}{H_{2}O} newcommand{tensor}[1]{bar{bar{#1}}} newcommand{tensorbs}[1]{bar{bar{bm{#1}}}} newcommand{tensorbf}[1]{bar{bar{bm{#1}}}} newcommand{fieldbf}[1]{bar{bm{#1}}} ~
[TITLE]
[TOC]
# INTRODUCTION
pdgui is provides a graphical front end to the capabilities of PDielec.
# Usage
pdgui can be run from the command line without any parameters or the QM/MM program name followed by the file to be read can be provided. For example;
pdgui
or
pdgui vasp OUTCAR
If a spreadsheet of results is required the name of the spreadsheet can be provided on the command line.
pdgui vasp OUTCAR results.xlsx
The spreadsheet name must have an .xlsx extension.
The package requires the PyQt5 library. After running the program the user sees a notebook interface with four tabs.
The Main Tab allows the user to specify the program and filename which are to be anaylsed. It is also possible to specify here the spreadsheet name of results are going to be saved.
The Settings Tab is used for changing the settings within the package
The Scenario Tab specifies the material properties used to define the effective medium from which the absorption characteristic are calculated. This tab can also be used to change the algorithms used to calculate the effective medium.
The Plotting Tab shows the absorption or permittivity as a function of frequency.
The Analysis Tab shows the decomposition of the normal modes into molecular components.
The Visualisation Tab displays the normal modes as either arrows showing the atomic displacement or as an animation.
## Main tab
The Main Tab is used to pick the MM/QM package and the output file which will be analysed.
~ Figure { #fig-mainTab; caption: “The Main Tab”; page-align:inplace } ![img-mainTab] ~ [img-mainTab]: Figures/MainTab.png { width:80%; }
The QM/MM program can be chosen from the dropdown list. The output file name can be input into the text box below it. Any entry in this Output file name text box will be read when the ‘Read the output file and start the calculation’ button is pressed. If the file is not valid a file chooser will pop-up and the user can select a file from that.
If an Excel spreadsheet file name given, it must have the extensions .xlsx. The spreadsheet is written when the program exits.
Once the file has been specified and read the frequencies found in the calculation file are reported in the output text box.
## Settings Tab
The Settings Tab affects the calculation of the frequencies and their intensities.
~ Figure { #fig-settingsTab; caption: “The Settings Tab”; page-align:inplace } ![img-settingsTab] ~ [img-settingsTab]: Figures/SettingsTab.png { width:80%; }
The Eckart conditions control whether 3 modes at zero frequency due to translational invariance are projected out of the dynamical matrix. By default the Eckart conditions are applied and the 3 modes are projected out.
There is an option to set the sum of the Born charge matrices to zero. By default this is not applied.
The atomic masses can be specified in a variety of ways. They can be chosen from; . The average natural abundance . The masses used by the QM/MM program . The isotopic mass of the most abundant isotope
In addition the mass of each element can be edited separately by clicking on the mass concerned and entering a new number.
The width (sigma) of all the absorptions can be set using the Lorentzian width(sigma) spin box.
Finally the optical permittivity at zero frequency is given in the Optical permittivity table. In some cases it is necessary to enter the optical permittivity by hand. This can be done by clicking each element in the table which needs changing and typing the new matrix element.
The output table at the bottom of the tab shows the calculated frequencies and their intensities. Transitions which do not contribute to the Infrared absorption are greyed out. These transitions will not be used in later calculations. From this table it is possible to remove or add transitions to the later calculations and it is also possible to change the width of individual transitions.
## Scenario Tabs
There can be more than one Scenario Tab. Each one specifies a particular material, method or particle shape which will be used in the Plotting Tab.
~ Figure { #fig-scenarioTab; caption: “The Scenario Tab”; page-align:inplace } ![img-scenarioTab] ~ [img-scenarioTab]: Figures/ScenarioTab.png { width:80%; }
The support matrix into which the active dielectric material is dispersed can be selected from the Support matrix drop down menu. The selected supporting material will change the density and permittivity shown in the respective text boxes. The user can edit these values independently if necessary.
The amount of dielectric material to be considered can be entered either as mass fraction (in percent) or as a volume fraction (in percent). If the matrix support density is changed the calculated mass fraction will be updated. It is assumed that the volume fraction has precedence.
The calculation of the effective medium can be performed using a variety of methods which can be chosen from the Method drop down menu. If the Mie method is chosen the user can enter the particles radius (microns). The Particle sigma specifies the width of a log-normal distribution. If the width is 0.0 no sampling of the distribution is performed.
For effective medium theories other than the Mie method the particle shape can be specfied using the Shape pull down menu. Possible shapes are Sphere, Needle, Plate and Ellipsoid. For the cases of Needle and Ellipsoid the unique direction is specifed by a direction [abc] in lattice units. In the case of Plate the unique direction is specifies as the normal to a plane (hkl) in reciprical lattice units. If an Ellipsood shape is used the eccentricy factor can be specified in the Ellipsoid a/b eccentricity text box.
The plot in the Plotting Tab has a legend and the description used in the legend for each scenario can be set by filling out the text box associated with the Scenario legend.
Scenarios can be added or removed using the push buttons at the bottom of each Scenario Tab. When a new scenario is created the settings are copied from the current scenario.
## Plotting Tab
The plotting tab controls and plots the absorption and permittivity as a function of frequency calculated for each scenario present in the pdgui notebook.
~ Figure { #fig-PlottingTab; caption: “The Plotting Tab”; page-align:inplace } ![img-PlottingTab] ~ [img-PlottingTab]: Figures/PlottingTab.png { width:80%; }
The minimum and maximum frequencies can be specified along with the frequency increment. An effective medium theory calculation will be performed for each scenario at every frequency between the minimum and maxmimum frequencies at the interval specified.
By default the calculation uses moles of unit cells to calculation the molar absorption coefficient. This can be altered using the the ‘Molar definition’ pull down menu. Options include Unit cells, Atoms and Molecules. In the case of Molecules it is necessary to supply the number of atoms in a formula unit of the compound in the Number of atoms per molecule text box.
The title of the plot can be supplied by entering it into the Plot title text box and the frequency units used for the plot can also be changed from wavenumber to THz.
The molar absorption, the absorption and the real or imaginary permittivity can be plotted. Once a plot has been requested the calculation progress is shown in the progress bar. Some settings can be changed without the whole plot being recalculated.
## Analysis tab
The analysis tab shows a breakdown of the phonon modes into molecular components. The molecular structure of the unit cell is determined by the covalent radii of the atoms. These can be speficied individually if needed. The analysis tab shows the number of molecules that have been found in the analysis.
~ Figure { #fig-AnalysisTab; caption: “The Analysis Tab”; page-align:inplace } ![img-AnalysisTab] ~ [img-AnalysisTab]: Figures/AnalysisTab.png { width:80%; }
The bar graph shows a break down of each normal mode in the chosen frequency range into either internal and external contributions or into molecular components. The atom sizes and the molecular composition of the unit cell is displayed in the 3D viewer tab
## 3D Viewer tab
The 3d viewer tab shows the unit cell of the system using the molecular information and atomic sizes from the analysis tab.
The atomic displacement of each phonon can either be shown as arrows or as an animation. The views and animations can be recorded in .png and .mp4 files respectively. If a .gif file is specified the animation is recorded but with reduced numbers of colours.
~ Figure { #fig-ViewerTab; caption: “The 3D Viewer Tab”; page-align:inplace } ![img-ViewerTab] ~ [img-ViewerTab]: Figures/ViewerTab.png { width:80%; }
As well as being able to change the phonon mode being analysed. The colours and many settings in the visualiser can be adjusted from the settings tab.
# INSTALLATION
pdgui requires the PyQT5 libraries in addition to the libraries used by PDielec, these will be installed automatically by matplotlib.
Installation on Microsoft Windows 10 was successful using Anaconda with Python 3.6
conda create -n pdielec36 python=3.6 conda activate pdielec36 conda install numpy conda install scipy conda install matplotlib pip install termcolor pip install xlsxwriter pip install pyyaml pip install imageio
The imageio library is used to create the image snapshots and movies from the 3d viewer tab. Its use requires the installation of some binary files, if they haven’t already been installed. The following command will make sure these have been downloaded.
imageio_download_bin
Installation on Linux requires pyqt5 modules. If they have not been installed already with maplotlib. If you don’t have sudo access you can install the module in your user directory;
sudo pip install pyqt5
or
pip install –user pyqt5


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Gyulavári Ádám
ex android developer
Now mostly mentoring at Green Fox Academy
Questions to be answered
What does a programmer do?
Why maths is importante? Why not?
How youtube works?
How to work from the Canary islands?
Should you get to a university?
So what does a software developer do?
what people think programming is vs. how it actually is
Other common stereotypes
Then how does a programmer look like?
So why do you need math?
Let's play a game then
Scan this QR code and open it in the browser.
Now you should see this too
If you've missed the QR code, just type karolyi.mobil.ninja
in your browser
How much is<PHONE_NUMBER>740991 + 4?
0
9007199254740991
0
9007199254740994
0
9007199254740995
0
9007199254740996
import React, { useState } from 'react';
function Counter() {
const [count, setCount] = useState(0);
return (

You clicked {count} times

<button onClick={() => setCount(count + 1)}>
Click me
</button>

);
}
That reminds me
Let's play another
Scan it again, or just open karolyi.mobil.ninja
How many times I had to write a Login with Facebook
button?
0
Exactly zero
0
Around 10
0
Around 50
0
Over a hundred
So a programmer needs so far
Logical thinking
Internet
Good googling skills
A computer
This brings us to the
University
Seriously though
Konnekt
What does a programmer do?
Plays lego and google a lot
Why maths is importante? Why not?
To learn logical thinking
Not for the specifics
How youtube works?
Complicated
How to work from the Canary islands?
Be a programmer
Should you get to a university?
Depends
So one last question
Scan it again, or just open karolyi.mobil.ninja
How interesting my presentation was?
0
Very
0
Loved it
0
Superb
0
Interesting?


In my stats I can see how much service stars in vehicles I have. I can see too percentage progress to the next star.
I think it will be better when I'll be seeing also how much points I need to the next vehicle star.
BrainFooLong
Administrator
You see it, just hover over the process bar under the star.
ElectroLutz
I think he meant it the way I fixed it in my local plugin-version of BBLog 1.9...
Have a look at the attached screenshot.
*Edit: I have overlayed 3 screenshots...the tooltip isn't always visible
ORFK
Global Moderator
Thats not a good idea
by the Weapons it will show also as total kills by the attachments.
f.e. 5 / 10 Kills, 41 / 50 Kills, 131 / 150 Kills and not 5 / 10 Kills, 1 / 10 Kills, 1 / 20 Kills.
ElectroLutz
ORFK wrote:
Thats not a good idea.
But showing "853030 / 875000" and 97 % also isn't the right way. Especially when you have a lot of service stars, you can forget the percentage-bar. It will allways be near the end.
KillerKooK
I agree with ElectroLutz that showing the total vehicle points earned starts to look bad after you get a few stars for that vehicle. Even when you get your first star, it will show that you are 50% to the second star which is a little misleading.


At W & H labs we strive to create as many waifu/husbando products as we can in our warhouse atop the mountain. Founded april 20, 1969 waifu and husbando creation lab has been creating waifu and husbando products alike. Making quality bodypillows, lamps chairs, hoodies, and even rulers Since 1969. We make products accoring to the cusomers needs and wants with high quality. we are on top of a mountain in ZA WAURDOOO.
reveiws
kanye- [★★★★★]"its kanye"
doug- [★★★★☆]"was ok came 1 month late sponge bob chair was worth it"
eren yeager- [☆☆☆☆☆]it was bad quality and i didnt like it
among us red imposter- [★★★★★]"sus"


https://aurlshortener.herokuapp.com/new/https://www.google.com
{"_id":"58a8c8d015d41800111d733d","url":"http://www.google.com","short_code":"Sk_ROHIYx"}
https://aurlshortener.herokuapp.com/new/blahblahblah
{"error":"Incorrect URL format. Ensure that your URL has a valid protocol and format. blahblahblah"}
https://aurlshortener.herokuapp.com/Sk_ROHIYx
https://www.google.com/
https://aurlshortener.herokuapp.com/urls
{"urls":[{"_id":"58a860775d711608d7c607fc","url":"http://www.google.com","short_code":"rylKxkIYg"}]}
https://aurlshortener.herokuapp.com/delete/www.google.com
{"entry_deleted": [{"_id":"58a860775d711608d7c607fc","url":"http://www.google.com","short_code":"rylKxkIYg"}]}
https://aurlshortener.herokuapp.com/delete/rylKxkIYg
{"entry_deleted": [{"_id":"58a860775d711608d7c607fc","url":"http://www.google.com","short_code":"rylKxkIYg"}]}


--- layout: page status: publish published: true title: USGS Digital Topographic Maps (DRGs) Indices author: display_name: Rick Kelson login: rkelson email<EMAIL_ADDRESS>url: '' author_login: rkelson author_email<EMAIL_ADDRESS>wordpress_id: 2481 wordpress_url: http://gis.utah.gov/?page_id=2481 date: '2011-09-15 14:42:10 -0600' date_gmt: '2011-09-15 20:42:10 -0600' categories: [] tags: - sgid - Data - utah - gis - map - mapping - dataset - download - agrc - layer - shapefile - geodatabase - metadata - shp - gdb - kml - lyr - digital - geographic - information - database - state - statewide ---
Data Type: GIS Data Layer
Steward: AGRC
Abstract:
This dataset contains GIS mapping data representing the tile indices for the 24K, 100K, and 250K USGS scanned topographic maps (DRGs).
Data Content:
The following data is available for download:
The 24K USGS topographic map tile index is maintained by AGRC. Changes and updates are not planned to this dataset.
The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter coordinate precision).
There are no constraints or warranties with regard to the use of this dataset. Users are encouraged to attribute content to: State of Utah, SGID.
This dataset is maintained by AGRC.
Questions can be direction to Rick Kelson<PHONE_NUMBER>) at AGRC.
Other links for this dataset:
The 24K USGS topographic map tile index is maintained by AGRC. Changes and updates are not planned to this dataset.
The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter coordinate precision).
There are no constraints or warranties with regard to the use of this dataset. Users are encouraged to attribute content to: State of Utah, SGID.
This dataset is maintained by AGRC.Questions can be direction to Rick Kelson<PHONE_NUMBER>) at AGRC.
Other links for this dataset:
The 250K USGS topographic map tile index is maintained by AGRC. Changes and updates are not planned to this dataset.
The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter coordinate precision).
There are no constraints or warranties with regard to the use of this dataset. Users are encouraged to attribute content to: State of Utah, SGID.
This dataset is maintained by AGRC.
Questions can be direction to Rick Kelson<PHONE_NUMBER>) at AGRC.
Other links for this dataset:


Mercenary Captain Sophya:
Which mission do you wish to learn more about?
Drive the undead from the Execution Grounds
Drive the Ol Mahum from the Fortress of Resistance
Drive the delu Lizardman from the southern shore area
Kill the marsh stakato in the Cruma Marshlands


1.1.1. Log
into i2G administrators site
<IP_ADDRESS>. Edit user information
<IP_ADDRESS>. Edit user information
<IP_ADDRESS>. Assign users to group
<IP_ADDRESS>. Remove users from a group
<IP_ADDRESS>. Share a project to another organization
<IP_ADDRESS>. Stop sharing a project to another organization
Users with the Company Admin permission can perform all administration tasks, including managing users across multiple projects and applications in i2G platform; manage the group of users; assign users to groups, project roles; share projects and monitor a user’s activities.
Step 1. Go to https://admin.i2g.cloud/. Only users with the Company Admin permission can access this site.
Step 2. At the Sign In the dialog, enter your Username and Password.
Figure 1‑1 log into i2G-admin site
Step 3. Click Sign In.
If you’re having trouble logging in, please contact your administrator
or contact us via i2g.cloud/contact-us
To log out of site:
Click icon at the top right corner.
Figure 1‑2 Overview of i2G-admin site
In the right side of the admin site, you can see the Navigation Bar that has 3 main objects:
· User
· Group
· Project
At the top of the admin site, you
will see the Tool Bar, where you can
access a range of actions. Its
structure may vary depending on the object being selected at that moment.
Table 1‑1 Tool Bar in the i2G-admin site
|
Icon |
Name
of Icon |
Description |
|
|
Add |
Add
new user/group |
|
|
Delete |
Delete
a user/group |
|
|
Edit |
Edit
information of a user/group |
|
|
Refresh |
Refresh to get the latest version of the active page |
|
|
Page |
Current
page number |
|
|
Previous
page |
Go
to the previous page |
|
|
Next page |
Go
to the next page |
|
|
Search |
Search
for text in the Display
area |
The
i2G-Admin site interface has a central Display
area in which the object (User/Group/Project) lists.
By
default, when you navigate to the admin site, you will be redirected to the User page first. You can also
open this page by clicking ( ) on the Navigation Bar
From
here you can view and edit existing operators as well as adding new ones. When
editing an operator, you can change all the details of the operator including
resetting the password
Figure 1‑3 User management tab
You
can add users directly to your company following these steps:
Step 1.
From
the User page, click button
on the top Tool
Bar. The New User dialog pops up
Figure 1‑4 Add new users dialog
Step 2.
In
the New User dialog, specify general
information of the new user, following:
·
Username
·
Full
name
·
Password
·
Email
·
License:
Give users access to different modules in i2G such as Full feature, Base, Clastic, CODB, Python …
·
Role:
fine-tune exactly what each of your users can do in i2G platform
o Company Admin: can perform all
administration tasks, including manage users across multiple projects and
applications in i2G platform; manage group of users; assign users to groups,
project roles; share projects and monitor a user’s activity
o Normal User: can access https://wi.i2g.cloud/ only.
o Company Storage (Full Permission): can access
both https://wi.i2g.cloud/ and https://storage-admin.i2g.cloud/ with
Full permission in CODB.
o Company Storage (Upload only): can access both
https://wi.i2g.cloud/ and https://storage-admin.i2g.cloud/ with
only Upload permission in CODB
o Company Storage (Edit only): can access both https://wi.i2g.cloud/ and https://storage-admin.i2g.cloud/ with
only Edit permission in CODB
o Company Storage (View only): can access both https://wi.i2g.cloud/ and https://storage-admin.i2g.cloud/ with
only View permission in CODB
·
Status:
Activate or Deactivate user who no longer need to use the system
Tip: You can always change the user
information later by clicking on the top of Navigation Bar
Step 3.
Click Ok to add the new
user after you define all the information
Step 1.
From
the User page, focus on a desired
user line > click button
on the top Tool
Bar. The Edit User dialog pops up
Figure 1‑5 Edit user information
Step 2.
Click
Ok after changing.
Step 1.
From
the User page, focus on a desired
user line > click button
on the top Tool
Bar. The Confirmation dialog pops up
Step 2.
Click
Yes.
When
multiple users in your site need the same permissions or restrictions, you can
add the users to a group and then give the group product access.
Click
( ) on the
Navigation
Bar to open Group management
Step 1.
From
the Group page, click button
on the top Tool
Bar. The Add New Group dialog pops up
Step 2.
In
the Add New Group dialog, specify general information of the new group such
as Name and Description.
Tip: You can always change the group’s
information later by clicking on the top of Navigation Bar
Step 3.
Click Ok to add the new
group after you define all the information
Step 1.
From
the Group page, focus on a desired
group line > click button
on the top Tool
Bar. The Group Info dialog pops up
Figure 1‑6 Edit group information
Step 2.
Click
Ok after changing.
Step 1.
From
the Group page, select a group where
you want to add users > click button
on the top Tool
Bar
Step 2.
In
the Group Info dialog, focus on Members tab. A left table lists all
users of your company and the right one lists all members of the selected
group.
Figure 1‑7 Assign users to group
Step 3.
On
the left table, click ( ) icon next to a username that you would like
to add. The selected username will be added on the right table
Step 4.
Click
Ok.
Step 1.
From
the Group page, select a group where
you want to remove users > click button
on the top Tool
Bar
Step 2.
In
the Group Info dialog, focus on Members tab. A left table lists all
users of your company and the right one lists all members of the selected
group.
Figure 1‑8 Remove users from the group
Step 3.
On
the right table, click ( ) icon next to each username
Step 4.
Click
Ok.
Step 1.
From
the Group page, focus on a desired
group line > click button
on the top Tool
Bar. The Confirmation dialog pops up
Step 2.
Click
Yes.
I2G is designed to keep your user data safe and make sure anonymous users cannot access the content that they have no permission to view. But sometimes, you need to share a project with someone who does not belong to your organization. This Project tab will help you to do that.
Click
( ) on the
Navigation
Bar to open Project tab
Figure 1‑9 Project tab in i2G-admin site
Step 1.
From
the Project page, focus on a desired
project > click button
on the top Tool
Bar.
Step 2. Now you can see a randomly generated key appearring in the Sharing Key field. Give this key to the one you’d like to share this project to.
Figure 1‑10 generate a shared project key
To open a shared project from another organization, see this article for more information
To stop sharing a project: from the Project page, focus on a desired project > click button on the top Tool Bar. The generated key will be removed from the Sharing Key field.
Notes:
- When anyone makes changes in data in a shared project, other members will immediately be able to see and use the modified data.
- If you permanently delete a shared project or stop sharing a project key, other collaborators cannot access as well.
- When an administrator adds to or removes members from the group, they will gain or lose permission to the projects that the group can access.


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Fans praise Jose Mourinho as he drops out-of-favour Christian Eriksen in first game in charge at Tottenham Hotspur
by HarigovindOn Saturday, Jose Mourinho made three changes to the Tottenham side ahead of his first match in charge as their head coach, against West Ham United in the Premier League. The biggest of those three changes is his decision to leave Christian Eriksen on the bench.
The Denmark international enjoyed a fairly good run of form during the recently-concluded international break, but his current contract with Tottenham is all set to expire at the end of the season.
Furthermore, he has also struggled to showcase his best form since admitting this summer that he wanted to leave the club.
Meanwhile, the fans of the club are elated at the fact that Eriksen got benched. Mourinho is nothing short of a hero for most of them right now.
Check out some of the best reactions below:
It has been widely reported that Manchester United, Juventus and Real Madrid are all keen on signing the former AFC Ajax midfielder, after he expressed his interest to leave the club this summer and reportedly refused to extend his contract.
What was Mourinho’s motive to bench Eriksen, is something that is yet to be made clear – but knowing him, one can expect him to address the situation to the press, soon.


Models¶
Introduction¶
The simulations work by solving kinetic models, i.e. systems of rate equations. In the steady-state, the time derivatives are set equal to zero, allowing an exact algebraic solution. For time-resolved simulations, the rate equations are integrated to obtain numerical excited-state populations as a function of time.
Diagrams¶
Draw some pictures of the different models, showing states and rates!
Example¶
m = timeresolvedmodels.Merrifield()
# set the rate constants
m.kGEN = 1.8
m.kSF = 0.05
m.k_SF = 0.05
m.kDISS = 5e-3
m.kTTA = 1e-23
m.kRELAX = 0
m.kSSA = 0
m.kTTNR = 1e-5
m.kTNR = 1e-5
m.kSNR = 0.06
# set the initial excitation density
m.G = 1e17
# simulate
m.simulate()
# get some results
S1 = m.simulation_results['S1']
Time-Resolved Models API¶
-
class
tripletpairs.kineticmodelling.timeresolvedmodels.
MerrifieldExplicit1TT
[source]¶ A class for time-resolved simulations using a modified version of Merrifield’s model.
The model explicity includes the \(^1(TT)\) state, and allows for decay of a single triplet in a \((T..T)\) state.
-
states
¶ The names of the excited state species.
- Type
list of str
-
rates
¶ The names of the different rate constants in the model.
- Type
list of str
-
model_name
¶ The name of the model.
- Type
str
-
G
¶ The initial exciton density. Units of per volume.
- Type
float
-
initial_weighting
¶ Dictionary of (str, float) pairs. Key is the state name (str) and value is its initial weight (float). The default is {‘S1’: 1}.
- Type
dict
-
t_step
¶ The first time step taken by the simulation, thereafter the step will increase geometrically.
- Type
float
-
t_end
¶ The last time point in the simulation.
- Type
float
-
num_points
¶ The number of time points to compute the simulation at.
- Type
int
-
kSF
¶ Rate constant for \(S_1\rightarrow ^1(TT)\). Units of per time.
- Type
float
-
k_SF
¶ Rate constant for \(^1(TT)\rightarrow S_1\). Units of per time.
- Type
float
-
kHOP
¶ Rate constant for \(^1(TT)\rightarrow (T..T)\). Units of per time.
- Type
float
-
k_HOP
¶ Rate constant for \((T..T)\rightarrow ^1(TT)\). Units of per time.
- Type
float
-
kHOP2
¶ Rate constant for \((T..T)\rightarrow2\times T_1\). Units of per time.
- Type
float
-
kTTA
¶ Rate constant for \(2\times T_1\rightarrow (T..T) or ^1(TT) or S_1\). See
MerrifieldExplicit1TT.TTA_channel
. Units of volume per time.- Type
float
-
kRELAX
¶ Rate constant for mixing between the \((T..T)\) states. Units of per time.
- Type
float
-
kSSA
¶ Singlet-singlet annihilation rate constant. Units of volume per time.
- Type
float
-
kSNR
¶ Rate constant for the decay of \(S_1\). Units of per time.
- Type
float
-
kTTNR
¶ Rate constant for the decay of \(^1(TT)\). Units of per time.
- Type
float
-
kTNR
¶ Rate constant for the decay of \(T_1\), or one of the triplets in \((T..T)\). Units of per time.
- Type
float
-
cslsq
¶ 1D array containing the overlap factors between the 9 \((T..T)\) states and the singlet.
- Type
numpy.ndarray
-
TTA_channel
¶ Index determining the fate of free triplets. 1 gives \(2\times T_1\rightarrow (T..T)\). 2 gives \(2\times T_1\rightarrow ^1(TT)\). 3 gives \(2\times T_1\rightarrow S_1\).
- Type
int
-
simulation_results
¶ Produced by
simulate()
. Keys are the excited-state names (str), values the simulated populations (numpy.ndarray).- Type
dict
-
simulate
()¶ Perform the simulation.
- Returns
- Return type
None.
-
view_timepoints
()¶ Produce a plot showing the distribution of times, print the first and last 5.
- Returns
- Return type
None.
-
-
class
tripletpairs.kineticmodelling.timeresolvedmodels.
Merrifield
[source]¶ A class for steady-state simulations using Merrifield’s model.
-
states
¶ The names of the excited state species.
- Type
list of str
-
rates
¶ The names of the different rate constants in the model.
- Type
list of str
-
model_name
¶ The name of the model.
- Type
str
-
G
¶ The initial exciton density. Units of per volume.
- Type
float
-
initial_weighting
¶ Dictionary of (str, float) pairs. Key is the state name (str) and value is its initial weight (float). The default is {‘S1’: 1}.
- Type
dict
-
t_step
¶ The first time step taken by the simulation, thereafter the step will increase geometrically.
- Type
float
-
t_end
¶ The last time point in the simulation.
- Type
float
-
num_points
¶ The number of time points to compute the simulation at.
- Type
int
-
kSF
¶ Rate constant for \(S_1\rightarrow (TT)\). Units of per time.
- Type
float
-
k_SF
¶ Rate constant for \((TT)\rightarrow S_1\). Units of per time.
- Type
float
-
kDISS
¶ Rate constant for \((TT)\rightarrow2\times T_1\). Units of per time.
- Type
float
-
kTTA
¶ Rate constant for \(2\times T_1\rightarrow (TT)\). Units of volume per time.
- Type
float
-
kRELAX
¶ Rate constant for mixing between the \((T..T)\) states. Units of per time.
- Type
float
-
kSSA
¶ Singlet-singlet annihilation rate constant. Units of volume per time.
- Type
float
-
kSNR
¶ Rate constant for the decay of \(S_1\). Units of per time.
- Type
float
-
kTTNR
¶ Rate constant for the decay of \((TT)\). Units of per time.
- Type
float
-
kTNR
¶ Rate constant for the decay of \(T_1\). Units of per time.
- Type
float
-
cslsq
¶ 1D array containing the overlap factors between the 9 \((T..T)\) states and the singlet.
- Type
numpy.ndarray
-
simulation_results
¶ Produced by
simulate()
. Keys are the excited-state names (str), values the simulated populations (numpy.ndarray).- Type
dict
-
simulate
()¶ Perform the simulation.
- Returns
- Return type
None.
-
view_timepoints
()¶ Produce a plot showing the distribution of times, print the first and last 5.
- Returns
- Return type
None.
-
-
class
tripletpairs.kineticmodelling.timeresolvedmodels.
Bardeen
[source]¶ A class for steady-state simulations using a modified version of Merrifield’s model.
The model does not include free triplets. Instead Merrifield’s \((TT)\) states can separate to form 9 \((T..T)\) states which can undergo spin relaxation. This is an approximation to triplet-diffusion in the limit of low excitation density.
-
states
¶ The names of the excited state species.
- Type
list of str
-
rates
¶ The names of the different rate constants in the model.
- Type
list of str
-
model_name
¶ The name of the model.
- Type
str
-
G
¶ The initial exciton density. Units of per volume.
- Type
float
-
initial_weighting
¶ Dictionary of (str, float) pairs. Key is the state name (str) and value is its initial weight (float). The default is {‘S1’: 1}.
- Type
dict
-
t_step
¶ The first time step taken by the simulation, thereafter the step will increase geometrically.
- Type
float
-
t_end
¶ The last time point in the simulation.
- Type
float
-
num_points
¶ The number of time points to compute the simulation at.
- Type
int
-
kSF
¶ Rate constant for \(S_1\rightarrow (TT)\). Units of per time.
- Type
float
-
k_SF
¶ Rate constant for \((TT)\rightarrow S_1\). Units of per time.
- Type
float
-
kHOP
¶ Rate constant for \((TT)\rightarrow (T..T)\). Units of per time.
- Type
float
-
k_HOP
¶ Rate constant for \((T..T)\rightarrow (TT)\). Units of per time.
- Type
float
-
kRELAX
¶ Rate constant for mixing between the \((T..T)\) states. Units of per time.
- Type
float
-
kSSA
¶ Singlet-singlet annihilation rate constant. Units of volume per time.
- Type
float
-
kSNR
¶ Rate constant for the decay of \(S_1\). Units of per time.
- Type
float
-
kTTNR
¶ Rate constant for the decay of \((TT)\). Units of per time.
- Type
float
-
kSPIN
¶ Rate constant for the decay of \((T..T)\). Units of per time.
- Type
float
-
cslsq
¶ 1D array containing the overlap factors between the 9 \((T..T)\) states and the singlet.
- Type
numpy.ndarray
-
simulation_results
¶ Produced by
simulate()
. Keys are the excited-state names (str), values the simulated populations (numpy.ndarray).- Type
dict
-
simulate
()¶ Perform the simulation.
- Returns
- Return type
None.
-
view_timepoints
()¶ Produce a plot showing the distribution of times, print the first and last 5.
- Returns
- Return type
None.
-
Steady-State Models API¶
-
class
tripletpairs.kineticmodelling.steadystatemodels.
MerrifieldExplicit1TT
[source]¶ A class for steady-state simulations using a modified version of Merrifield’s model.
The model explicity includes the \(^1(TT)\) state, and allows for decay of a single triplet in a \((T..T)\) state.
-
states
¶ The names of the excited state species.
- Type
list of str
-
rates
¶ The names of the different rate constants in the model.
- Type
list of str
-
model_name
¶ The name of the model.
- Type
str
-
initial_weighting
¶ Dictionary of (str, float) pairs. Key is the state name (str) and value is its initial weight (float).
- Type
dict
-
G
¶ The exciton generation rate for
initial_state
. Units of per volume per time.- Type
float
-
kSF
¶ Rate constant for \(S_1\rightarrow ^1(TT)\). Units of per time.
- Type
float
-
k_SF
¶ Rate constant for \(^1(TT)\rightarrow S_1\). Units of per time.
- Type
float
-
kHOP
¶ Rate constant for \(^1(TT)\rightarrow (T..T)\). Units of per time.
- Type
float
-
k_HOP
¶ Rate constant for \((T..T)\rightarrow ^1(TT)\). Units of per time.
- Type
float
-
kHOP2
¶ Rate constant for \((T..T)\rightarrow2\times T_1\). Units of per time.
- Type
float
-
kTTA
¶ Rate constant for \(2\times T_1\rightarrow (T..T)\). Units of volume per time.
- Type
float
-
kSNR
¶ Rate constant for the decay of \(S_1\). Units of per time.
- Type
float
-
kTTNR
¶ Rate constant for the decay of \(^1(TT)\). Units of per time.
- Type
float
-
kTNR
¶ Rate constant for the decay of \(T_1\), or one of the triplets in \((T..T)\). Units of per time.
- Type
float
-
cslsq
¶ 1D array containing the overlap factors between the 9 \((T..T)\) states and the singlet.
- Type
numpy.ndarray
-
simulation_results
¶ Produced by
simulate()
. Keys are the excited-state names (str), values the simulated populations (float).- Type
dict
-
-
class
tripletpairs.kineticmodelling.steadystatemodels.
Merrifield
[source]¶ A class for steady-state simulations using Merrifield’s model.
-
states
¶ The names of the excited state species.
- Type
list of str
-
rates
¶ The names of the different rate constants in the model.
- Type
list of str
-
model_name
¶ The name of the model.
- Type
str
-
initial_weighting
¶ Dictionary of (str, float) pairs. Key is the state name (str) and value is its initial weight (float).
- Type
dict
-
G
¶ The exciton generation rate for
initial_state
. Units of per volume per time.- Type
float
-
kSF
¶ Rate constant for \(S_1\rightarrow (TT)\). Units of per time.
- Type
float
-
k_SF
¶ Rate constant for \((TT)\rightarrow S_1\). Units of per time.
- Type
float
-
kDISS
¶ Rate constant for \((TT)\rightarrow2\times T_1\). Units of per time.
- Type
float
-
kTTA
¶ Rate constant for \(2\times T_1\rightarrow (TT)\). Units of volume per time.
- Type
float
-
kSNR
¶ Rate constant for the decay of \(S_1\). Units of per time.
- Type
float
-
kTTNR
¶ Rate constant for the decay of \((TT)\). Units of per time.
- Type
float
-
kTNR
¶ Rate constant for the decay of \(T_1\). Units of per time.
- Type
float
-
cslsq
¶ 1D array containing the overlap factors between the 9 \((T..T)\) states and the singlet.
- Type
numpy.ndarray
-
simulation_results
¶ Produced by
simulate()
. Keys are the excited-state names (str), values the simulated populations (float).- Type
dict
-
-
class
tripletpairs.kineticmodelling.steadystatemodels.
Bardeen
[source]¶ A class for steady-state simulations using a modified version of Merrifield’s model.
The model does not include free triplets. Instead Merrifield’s \((TT)\) states can separate to form 9 \((T..T)\) states which can undergo spin relaxation. This is an approximation to triplet-diffusion in the limit of low excitation density.
-
states
¶ The names of the excited state species.
- Type
list of str
-
rates
¶ The names of the different rate constants in the model.
- Type
list of str
-
model_name
¶ The name of the model.
- Type
str
-
initial_weighting
¶ Dictionary of (str, float) pairs. Key is the state name (str) and value is its initial weight (float).
- Type
dict
-
G
¶ The exciton generation rate for
initial_state
. Units of per volume per time.- Type
float
-
kSF
¶ Rate constant for \(S_1\rightarrow (TT)\). Units of per time.
- Type
float
-
k_SF
¶ Rate constant for \((TT)\rightarrow S_1\). Units of per time.
- Type
float
-
kHOP
¶ Rate constant for \((TT)\rightarrow (T..T)\). Units of per time.
- Type
float
-
k_HOP
¶ Rate constant for \((T..T)\rightarrow (TT)\). Units of per time.
- Type
float
-
kRELAX
¶ Rate constant for mixing between the \((T..T)\) states. Units of per time.
- Type
float
-
kSNR
¶ Rate constant for the decay of \(S_1\). Units of per time.
- Type
float
-
kTTNR
¶ Rate constant for the decay of \((TT)\). Units of per time.
- Type
float
-
kSPIN
¶ Rate constant for the decay of \((T..T)\). Units of per time.
- Type
float
-
cslsq
¶ 1D array containing the overlap factors between the 9 \((T..T)\) states and the singlet.
- Type
numpy.ndarray
-
simulation_results
¶ Produced by
simulate()
. Keys are the excited-state names (str), values the simulated populations (float).- Type
dict
-


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Intro
Unidan (Ben) introduces himself
/u/unidanx's Youtube Channels:
Personal Science
&
Collegiate Alliance
Edward Snowden's' Unidan Jackdaw Joke
Unidan's reflects on his reddit experience
u/unidanx , on Instagram , @unidanbiology


This demo illustrates the use of a custom formatter that accesses data through a userObject set on the dataGrids settings object. This is useful when your formatter needs access to information not normally available through the datagrid itself.


THE CHAMBER [Spoilers] A film review by Chuck Dowling Copyright 1997 Chuck Dowling
The Chamber (1996) ** out of ***** - Cast: Chris O'Donnell, Gene Hackman, Faye Dunaway, Raymond Berry, Lela Rochon, Bo Jackson. Written by: William Goldman and Chris Reese. Directed by: James Foley. Running Time: 110 minutes.
*** This review does contain spoilers. ***
There are two characters that for the life of me I cannot figure out Hollywood's fascination with: the President of the United States and convicted murderers. "The Chamber" makes the FOURTH film in less than two years about someone trying to save a GUILTY person from the death penalty.
Chris O'Donnell stars as Adam Hall, a fresh young lawyer who travels to Mississippi to appeal the case of Sam Cahall (Gene Hackman), a convicted murderer whose racist beliefs cause him to blow up a building containing a Jewish lawyer and his two young children. We find out early that Hall is actually Sam's grandson, which is why he has requested the case. He doesn't seem to care for his grandfather, and it certainly seems like he hates racism, but I guess he hates the death penalty even more. He must save his mean old granddad from that mean old gas chamber.
  Hackman is guilty. And none of the characters make any sense. Hackman (who does give a good performance, even with an illogical character) is mean, racist, cold-hearted, yet forgiving, sympathetic, and kind. How is that possible?
Another main problem is that Hackman's (and other's) racist speeches go completely unanswered. While he's spouting his racist views we might see a shot of someone rolling their eyes or whatever, but no one speaks up to put Hackman in his place. It's as if the filmmakers think that all of society has matured so much that everyone will also just roll their eyes and realize, "Hey, racism is stupid". This can be dangerous. A great many people who feel the way characters do in this film are still out there, and these unanswered comments can make strong impressions on those weak-minded people.
I didn't get to see "The Chamber" in the theaters, it was gone too quickly. That surprised me. John Grisham movies have always been blockbusters. After seeing it however, I understand why. Attention Hollywood: the movie-going public has no desire to see movies about people trying to save the lives of convicted murderers! It just doesn't interest them. Go figure. [R]
--Chuck Dowling
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Former Thomas Cook travel agents reopen their doors in East Kilbride
The stores in the Plaza and Princes Square have been taken over by independent operator Hays Travel who came to the rescue of staff when Thomas Cook went bust.
by Nicola Findlay, https://www.dailyrecord.co.uk/authors/nicola-findlay/An East Kilbride travel agents has opened its doors once again – and staff can’t wait to welcome back their loyal customers.
Dedicated staff at Thomas Cook feared the worst when the travel giant collapsed with the loss of 9000 jobs in the UK.
Among them were staff at the Plaza and Princes Square stores.
And so distraught and keen to help were staff that, despite being out of a job, they organised a session in the shopping centre where customers could go along to get help with ATOL refunds.
However, independent group Hays Travel has now bought over all 555 Thomas Cook shops giving a festive lifeline to staff.
Manager at the Plaza store, Lee Chalmers, along with staff who have nearly 25 years in the industry, said the reprieve was more than they could have hoped for.
She said: “I am sure I speak on behalf of everyone when I say it feels amazing to be back open.
“The shop has been so busy with customers wanting to book holidays with us and even just popping in to wish us well. We got to know our customers so well over the years they became more like friends.
“Some of them we haven’t seen in a while have also come back to us.”
Lee said the collapse of Thomas Cook came as a shock to staff, who were left bereft.
“I know there had been talk for a while but in all honesty none of us expected it to go under – it was a total shock,” she said.
“For our customers, overnight we were gone.
“It was a great company to work for and one we truly loved being a part of. It was so sad that such an iconic company has just left the high street.
“We though that was it and all were looking for new jobs.”
But being able to stay in East Kilbride with the same team has been a real boost.
Lee went on: “It came out of the blue when Hays took us over but was a lovely surprise.
“A lot of cabin crew have also been redeployed in stores as well.
“To be back in the town where many of the girls actually come from is so nice.
“For the town centre as well it’s a good think as the last thing they want is two units lying empty.
“We have only been part of Hays for a few weeks but already feel part of the family.
“While we all loved Thomas Cook I think in some ways this will be better for our customers.
“It is a good old-fashioned travel agency where we sell every type of holiday, there will be something for everyone and we aren’t restricted to selling one brand.
“The training has been phenomenal as well as the support from head office.”
And Lee also praised the founders of Hays Travel.
“The company was set up nearly 40 years ago in the north east of England by John and Irene Hays and the biggest thanks goes to them ,” Lee added.
“It really is the best Christmas present we could have wished for and thanks also goes to all of out customers for coming back to us, supporting us and we are so delighted to see them all again.”


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Text utils¶
Collection of helper function that facilitate processing text.
simple_preprocess ¶
simple_preprocess(
doc, lower=False, deacc=False, min_len=2, max_len=15
)
This is Gensim
's simple_preprocess
with a lower
param to
indicate wether or not to lower case all the token in the doc
For more information see: Gensim
utils module
Parameters:
-
doc
(
str
) –Input document.
-
lower
(
bool
) –Lower case tokens in the input doc
-
deacc
(
bool
) –Remove accent marks from tokens using
Gensim
'sdeaccent
-
min_len
(
int
) –Minimum length of token (inclusive). Shorter tokens are discarded.
-
max_len
(
int
) –Maximum length of token in result (inclusive). Longer tokens are discarded.
Examples:
>>> from pytorch_widedeep.utils import simple_preprocess
>>> simple_preprocess('Machine learning is great')
['Machine', 'learning', 'is', 'great']
Returns:
-
List[str]
–List with the processed tokens
Source code in pytorch_widedeep/utils/text_utils.py
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|
get_texts ¶
get_texts(texts, already_processed=False, n_cpus=None)
Tokenization using Fastai
's Tokenizer
because it does a
series of very convenients things during the tokenization process
See pytorch_widedeep.utils.fastai_utils.Tokenizer
Parameters:
-
texts
(
List[str]
) –List of str with the texts (or documents). One str per document
-
already_processed
(
Optional[bool]
) –Boolean indicating if the text is already processed and we simply want to tokenize it. This parameter is thought for those cases where the input sequences might not be text (but IDs, or anything else) and we just want to tokenize it
-
n_cpus
(
Optional[int]
) –number of CPUs to used during the tokenization process
Examples:
>>> from pytorch_widedeep.utils import get_texts
>>> texts = ['Machine learning is great', 'but building stuff is even better']
>>> get_texts(texts)
[['xxmaj', 'machine', 'learning', 'is', 'great'], ['but', 'building', 'stuff', 'is', 'even', 'better']]
Returns:
-
List[List[str]]
–List of lists, one list per 'document' containing its corresponding tokens
NOTE:
get_texts
uses pytorch_widedeep.utils.fastai_transforms.Tokenizer
.
Such tokenizer uses a series of convenient processing steps, including
the addition of some special tokens, such as TK_MAJ
(xxmaj
), used to
indicate the next word begins with a capital in the original text. For more
details of special tokens please see the fastai
`docs
Source code in pytorch_widedeep/utils/text_utils.py
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|
pad_sequences ¶
pad_sequences(seq, maxlen, pad_first=True, pad_idx=1)
Given a List of tokenized and numericalised
sequences it will return
padded sequences according to the input parameters.
Parameters:
-
seq
(
List[int]
) –List of int with the
numericalised
tokens -
maxlen
(
int
) –Maximum length of the padded sequences
-
pad_first
(
bool
) –Indicates whether the padding index will be added at the beginning or the end of the sequences
-
pad_idx
(
int
) –padding index. Fastai's Tokenizer leaves 0 for the 'unknown' token.
Examples:
>>> from pytorch_widedeep.utils import pad_sequences
>>> seq = [1,2,3]
>>> pad_sequences(seq, maxlen=5, pad_idx=0)
array([0, 0, 1, 2, 3], dtype=int32)
Returns:
-
np.ndarray
–numpy array with the padded sequences
Source code in pytorch_widedeep/utils/text_utils.py
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|
build_embeddings_matrix ¶
build_embeddings_matrix(
vocab, word_vectors_path, min_freq, verbose=1
)
Build the embedding matrix using pretrained word vectors.
Returns pretrained word embeddings. If a word in our vocabulary is not among the pretrained embeddings it will be assigned the mean pretrained word-embeddings vector
Parameters:
-
vocab
(
Vocab
) –see
pytorch_widedeep.utils.fastai_utils.Vocab
-
word_vectors_path
(
str
) –path to the pretrained word embeddings
-
min_freq
(
int
) –minimum frequency required for a word to be in the vocabulary
-
verbose
(
int
) –level of verbosity. Set to 0 for no verbosity
Returns:
-
np.ndarray
–Pretrained word embeddings
Source code in pytorch_widedeep/utils/text_utils.py
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|


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H.B. Woodrose
14:15 - 4 Seeds crushed with pliers and placed in about 100 mL of water in plastic container
14:23 - Ugly water suspension put in mouth with dregs remaining in plastic container.
14:26 - Ugly water suspension swallowed. Rest of the dregs discarded.
14:30 - Very hard head buzz. Is this real or is it just my mind playing games with me? I can't tell. It feels very strong. I don't think that my mind could make me feel like this.
14:59 - Okay. My head is really buzzing hard. I feel very spaced out. Nothing spacially, visually, aurally, none of that. But my head is really starting to fuzz.
15:31 - Still fuzzing, only a little harder. Slight discomfort in the abdomen. Vision starting to get a little blurred. Colour enhancements? I can't tell. I want to say yes, but again, this whole thing could be in my head. Or is it? I feel like I want to eat some yogurt.
16:20 - Abdominal discomfort is mostly gone. Feel very antsy, like I want to go out and do something. Vision is more blurred, and I keep on thinking that this is the beginning of something, but I think this is it. I didn't put the seeds in water for that long. I think I would have vomited if this had been a real dose. I want to stretch and smile really big. I'm going to read a book for a while.
16:44 - I really want to go do something. I'm contemplating smoking a cigarette. (This would, of course, entail leaving and getting some at the gas station.) I'm eating a little yogurt now that I feel comfortable enough putting something else in my stomach. I think I'm going to head out soon.
16:51 - Bad case of diarrhea. Very uncomfortable.
17:15 - Back on the road to destination.
17:48 - Stop at a park to smoke a cigarette while listening to Disc 2 of 'The Wall.' There are very slight distortions in spacial perception, and maybe some colour changes and shifts, but in general, this whole thing has just been a mild head trip. I feel very tired.
18:30 - I go to the house to have dinner, and it tastes very good. I can't eat as much as I usually do, but it's very good. My head stopped fuzzing after supper. By this point, I taste the metallic-LSD-taste on my tongue. Very weird.
19:30 - Listening to the Beach Boys - their later stuff. Man, they were so talented. As I listen with my eyes closed, little patterns of light enter my vision screen and dance with the music. Very subtle, though. It's almost as if they just sneaked their way into my psyche and then when I noticed them, they would go away. Music sounds very nice, but then again, I've always loved the Beach Boys.
21:00 - Back to baseline and goig to bed. Fun, except for the bout in the bathroom. Will try again soon, with a higher dose, and will try not to swallow the stuff, but rather let it sit in my mouth for as long as I can hold it and then spit it out. I will probably grind the seeds better too.
Retrospective: Overall, it was too small a dose to really enjoy. The discomfort would have been worth it if I had had a more intense trip. I didn't really want to trip hard anyway; I really wanted to test out the waters, and I think I did okay. The next time, it will be more seeds, more finely ground, no swallowing, and I'll be starting the whole process early in the morning. Looking forward to it.
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.


Privacy policy The app Programmer Excuses Intl. does not collect, transmit, distribute or sell any of your data.


本书pdf是 文字版，彩图版 ，书签良好。
1.1 The Atom in Modern Chemistry
1.2 Chemical Formulas, Equations, and Reaction Yields
2.1 Chemical Bonding: The Classical Description
2.2 Introduction to Quantum Mechanics
2.3 Quantum Mechanics and Atomic Structure
2.4 Quantum Mechanics and Molecular Structure
2.5 Bonding in Organic Molecules
2.6 Bonding in Transition Metal Compounds and Coordination Complexes
3.1 The Gaseous State
3.2 Solids, Liquids, and Phase Transitions
3.3 Solutions
4.1 Thermodynamic Processes and Thermochemistry
4.2 Spontaneous Processes and Thermodynamic Equilibrium
4.3 Chemical Equilibrium
4.4 Acid–Base Equilibria
4.5 Solubility and Precipitation Equilibria
4.6 Electrochemistry
5.1 Chemical Kinetics
5.2 Nuclear Chemistry
5.3 Molecular Spectroscopy and Photochemistry
6.1 Structure and Bonding in Solids
6.2 Inorganic Materials
6.3 Polymeric Materials and Soft Condensed Matter


OES JavaScript Core Simulators
The code of these simulators is available under a permissive MIT License. It can be used as a starting point for building your own Object Event simulators, which you may want to run with NodeJS or in a cloud environment like Firebase, where the simulator can be executed as one or more Firebase Functions.
OESjs Core 0: A Minimal Object Event Simulator
The OESjs Core 0 simulator implements a minimal architecture for Object Event Simulation (OES), supporting models with (global) model variables and functions, object types, event types, and simple simulation experiments.
OESjs Core 1: Multiple Scenarios per Model and Parameter Variation Experiments
The OESjs Core 1 simulator implements an architecture for Object Event Simulation (OES), extending the OESjs Core 0 simulator by adding fixed-increment time progression, a seedable random number generator, a set of sampling functions from various probability distributions (uniform, triangular, normal, exponential, etc.), multiple scenarios per model, multiple experiment types per model, model parameters, parameter variation experiments, as well as persistent storage and export of experiment results.
OESjs Core 2: Activity-Based Discrete Event Simulation
The OESjs Core 2 simulator implements an architecture for Object Event Simulation (OES) that extends the OESjs Core 1 simulator by adding support for activities, which may be resource-constrained.
Credits
OESjs Core 1 and OESjs Core 2 are using:
- David Bau's seedable random number generator seedrandom.
- Jake Archibald's IndexedDB library IDB.


Almost anyone who has ever tried to learn a programming language has written – “Hello, World” program as their first task. Not only programmers but also persons working with a markup language like HTML have used “Hello, World” as their first task. Many times, we’ve thought the reason but never got to the root.
Traditionally, “Hello, World” programs are used to give a glimpse of minimal coding syntax required to achieve simple tasks like printing text on screen or console. "Hello, World" acts as a basic check for setup for those who used the language for the first time, it makes sure the framework/compiler/interpreter is properly installed and the user can continue to work. For a complete beginner running the first task like “Hello, World” can act as an Icebreaker. Printing text is still the most common method of debugging errors.
Now we got the reason for running a simple task like printing text on the console as the first task, but why only “Hello, World” is used as the sample text for the first text? Well, "Hello, World" is acting as a greeting to the world of coding of that language. There are already people working with the language and they form a world, when you’re starting for the first time you are giving a greeting to that world of people as you’re entering into that world for the first time, same as we give greeting to new people in a room.
Above all, “Hello, World” is simple. That’s why it is so often used as a barometer of program success. If Hello World does not work effectively within the framework, then it is likely that other, more complex programs will also fail. This two-word phrase has big implications for the field of computer science. With “Hello, World” as a foundation, novice programmers can easily understand computer science principles or elements. And professionals with years of coding experience can use it to learn how a given programming language works, especially in terms of structure and syntax. With applications at all skill levels and in almost every language, there is a long history behind such a short program.
Hackers also use “Hello, World” as a proof of concept that arbitrary code can be executed in that part through an exploit where system programmer does not intent code to be executed. One more popular use of “Hello, World” is as a basis of comparison. Programmers can compare the size of the executable achieving the same task.
Here’s what “Hello, World” look like in some the most popular programming languages currently in use –
Java
class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, world!");
}}
Python
print("Hello, world!")
Bash
echo "Hello, World"
C++
#include
int main()
{
std::cout << "Hello, world!";
return 0;
}
C
#include
int main(void)
{
puts("Hello, world!");
}
JavaScript
document.write('Hello, world!');
Processing
void setup(){ println("Hello, world!"); }
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