Initializing and Running a Cosmology Simulation
The initial conditions for a cosmology simulation can be conveniently generated with the inits package, described below. The resulting files can then be read by the Enzo code using the CosmologySimulation problem type.
- Compiling the inits package
- Setting the inits parameter file
- Running inits
- Setting up a cosmology simulation
- Runing a cosmology simulation
- Analyzing the output: projections
- Analyzing the output: extractions
- Analyzing the output: profiles
- Analyzing the output: Jaques?


Step 1 - Find your turntable user account !
Step 2 - Brag about your ranking !
You have to find your user account first !
{% extends "base.html" %} {% block title %}ttDashboard - Home{% endblock %} {% block meta_keywords %}home, homepage, brag, ranking, song, songs, users, user, profile, turntable dashboard, ttdashboard, turntable.fm, turntable, turntablefm, live stats, dashboard, statistiques, statistics, Alain Gilbert{% endblock %} {% block extrahead %} {% endblock %} {% block content %}
For some technical reasons, only these rooms are tracked:


{% extends "frontendadmin/base.html" %} {% comment %} Normally a view would redirect to the last page. After delete from a object in a detail-view, there is no "last page" so we redirect to this unique, shiny success-page. {% endcomment %} {% block frontendadmin_content %}
Click the back-button in your browser or go to the frontpage.
{% endblock %}


TableClass
does not automatically support the drawing of
Table
headings. However, it is easy to implement this yourself.
To create a
Table
with headings, simply create two different
Table
objects: one for the body of the
Table
, and one for the headings. Make sure the two Tables have the same left and right margins, and make sure their columns are of the same width; but other than that, you can set up the two tables completely differently. For example, the upper
Table
(which would have only one line) might well not be user-editable or selectable.
Group the two Tables below the single
TableContent
object. Once you've set up the two Tables, you may want to experiment with headings and borders to get the look you want. Notice that the two
Table
s scroll independently. This means that when a user scrolls the lower
Table
, the same headings will always be visible at the top of the columns. You will want to add the TF_MAIN_TABLE flag to your main Table object so that it does not attempt to scroll the heading table.
Code Display 5-7 Adding a Header Table
/* A Header is simply a Table, though it is usually only one row. */
@object CoffeeTableClass, CoffeeTableHeader = { TI_rows = 1; /* Because this is a header, only one row is needed. */ TI_columns = MY_TABLE_COLS; /* Make sure you have the same number of columns * as in the main table. */ TI_visibleRows = 1; TI_rowHeight = 18; /* Your row height may be different than the row height * of the main table. */ TI_columnDefinitions = @CoffeeTableHeaderColumnDefs; TI_borderFlags = TBF_BOX_BORDERS; CTI_chunkArray = @CoffeeTableHeaderDataArray; }
/* The column definition widths should match those of the main table. Headers * should not contain any TableColumnFlags, however. Set these to zero. */
@chunk TableColumnDefinition CoffeeTableHeaderColumnDefs[] = { 0, 25, 0, 100, 0, 45, 0, 70};
/* The Table header data array contains the strings to display in the Table * header. */
@chunkArray CellDataStruct CoffeeTableHeaderDataArray = { "#","Description","Type","$/lb." };


R Packages
{% include small-project.html
title = "hurdat-hadisst-data"
image = "hurdat-hadisst-data-hexagon.png"
link = "https://github.com/aldomann/hurdat-hadisst-data"
content = "Unified data sets that summarises the relevant variables (for my Master's Thesis) of each analysed tropical-cyclone using data from the HURDAT2 and the HadISST1."
%}
{% include small-project.html
title = "alfR"
image= "alfR-hexagon.png"
link = "https://github.com/aldomann/alfR"
content = "R package with useful miscellaneous functions."
%}
{% include small-project.html
title = "mariokart"
image = "mariokart-hexagon.png"
link = "https://github.com/aldomann/mariokart"
content = "Mario Kart Statistics from Different Games."
%}
{% include small-project.html
title = "encoder"
image = "encoder-hexagon.png"
link = "https://github.com/kreh-team/encoder"
content = "Multiple data encoding methods for R data frames."
%}
{% include small-project.html
title = "parscanlogreader"
image = "parscanlogreader-hexagon.png"
link = "https://github.com/kreh-team/parscanlogreader"
content = "Read Log Files from Scikit-learn's RandomizedSearchCV."
%}
{% include small-project.html
title = "telegramr"
badge = "WIP"
image = "telegramr-hexagon.png"
link = "https://github.com/aldomann/telegramr"
content = "R package for processing Telegram Chat History."
%}
{% include small-project.html
title = "speedrunr"
badge = "WIP"
image = "speedrunr-hexagon.png"
link = "https://github.com/aldomann/speedrunr"
content = "An R implementation of the
speedrun.com REST API."
%}


It is time to overcome the obstacles you face in order to achieve your goals and to create yourself at the hands of professional teachers whose primary concern is to create the learner and provide him with everything he needs to face his future challenges primary concern is to create the learner and provide him with everything he needs to face his future challenges.


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Configure the gateways on which the services may be published. If no gateways are configured, then users will not be able to publish their services!
| Name | Configuration Type |
|---|---|
| High Volume Gateway | Standard |
| Low Volume Gateway | Standard |
| Internal Service Gateway | JMS |


In this field, specify the regular expression that describes the files that should be recognized as resources and,
consequently, copied to the output directory. Use semicolons
;
to separate individual patterns.
Wildcards and negations are welcome. The following symbols are accepted:
*
represents an unlimited number of any symbols, possibly none.?
represents exactly one symbol..
represents a delimiter.!
negates the entire mask it is applied to. Consequently, any file with the name and extension that
do not match the pattern will be recognized as a resource file.
/
represents a path separator./**/
denotes any number of directories.<dir>:<pattern>
denotes any directory located under the source root <dir>; <pattern>
is any pattern that meets the above-mentioned requirements.
The examples below illustrate the use of wildcards in the resource patterns:
*.xml
- any XML file.!*.xml
- any file whose extension is not .xml.z*.properties;z*.gif;z*.png;z*.jpeg;z*.xml
- any .properties, .gif, .png, .jpeg, or
.xml file with the name beginning with z.
MyResources:*
- all files and folders within the directory MyResources
.(If you want to skip compilation of certain Groovy files in the modules with the Groovy support, include them in
the list of the resource patterns.)


Created by {{Model.createdBy}}
Tournament Registration: {{Model.status}}
Prize:
{{Model.prizeAmount | number:8}}
Prize: m
{{Model.prizeAmount | number:5}}
Prize: μ
{{Model.prizeAmount | number:2}}
Prize: {{Model.prizeAmount | number:2}}
Registered Players: {{Model.registrations.length}} / {{Model.totalPlayers}}
-
{{registration.username}}: {{registration.status}}
Change tournament status:


--- layout: post title: 'WiMAX in the UK. Here''s why it won''t fly' date: 2006-07-04 00:00:00 categories: business mobile ---
WiMAX in the UK. Here's why it won't fly: "So though WiMAX has the potential to offer high speed broadband access to all, in the UK there's little spectrum and unlikely to be so for considerable time. Pipex and PCCW will launch services, but they'll be "private" networks and WiMAX for the masses is unlikely to happen"


aqi UP
aqi DOWN
Ok to go into city normally
Ok to go into city. Take extra inhaler
Ok to travel through city only. Take extra inhaler.
avoid the city
Gas mask time!


Taxation is called the Public Finance of the country. Moreover, Business always comply with rules and regulations. We know how to grip individual Taxation. We offer help in Individual Tax Planning, Individual Tax Assessment, Individual Tax Return, Processing of Tax Payment Documents, Advising about Tax Rebate.
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Taxhousebd is a promising Tax, Accounting & Business advisory services firm. We are providing services as per client’s requirements. We have blended different category of expertise and professionals that’s why we provide highest level of services to the client according to professional standard and ethics.


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| Name: ms.Soundarya | Reg No: 022-6SMHC19 |
|---|---|
| Age / Sex: 21/f | Contact No:<PHONE_NUMBER> |
| Marital Status:single | Date:22/6/19 |
| Occupation:beautician, 10th . beautician course. | Dr. pjfp |
Address: Native blore. |
DIAGNOSIS- |
Carples and metacarpels pain since 7 months. Inc . even if doenst work pains.

Calf muscle pain since 6 month.
Headache < more work. Tension,
Anger more if scolds…
giddiness.
2011 got diagnose with hypothyroidism. When she was playing her grand ma told tht her neck was swelling.
Centre thoracic region pain bone.

Wd frm an year.
Shoulder feels stiffness when working.
People amel. Must talk and make happy I will forget. If alone will remember all this.
Past h/o:
Had some swelling behind ear at birth got it operated.
Rx:
Rhus tox 200/benz acid 200/act spicata 200 – 4-4-4 b/food.
Nat mur 200/thyroidinum200 – 4-0-4 b/food.
Mag phos 30 dsic 4-0-4
Thyr 3x 2-2-2.
Guaicum Q/rtoxQ– 15-15-15 drops a/food.


From Valente (1995) “In the mid-1960s, Rogers and others conducted an ambitious ‘three country study’ to determine influences on adoption of farm practices in Nigeria, India and Brazil. [...] Only in Brazil, and only for hybrid corn, did adoption of the innovation reach more than a small proportion of the farmers.”
brfarmers
A data frame with 692 rows and 148 columns:
village number
respondent id
respondent's age
Lived outside of community
# of visits to large city
# of contacts with relatives
membership in coop
membership in organizations
Patriarchalism score
Literate
# of newspapers or mags pr mon
subscribe to news
Own radio
Frequency radio listening
program preference
frequency Tv viewing
freq movie attendance
freq letter writing
total # of sources used for ag
Ever used practice A
Ever used practice B
Ever used practice C
Ever used practice D
Ever used practice E
Ever used practice F
Ever used practice G
Ever used practice H
Ever used practice I
Ever used practice J
Ever used practice K
Ever used practice L
A year of adoption
B year of adoption
C year of adoption
D year of adoption
E year of adoption
F year of adoption
G year of adoption
H year of adoption
I year of adoption
J year of adoption
K year of adoption
L year of adoption
A Current use
B Current use
C Current use
D Current use
E Current use
F Current use
G Current use
H Current use
I Current use
J Current use
K Current use
L Current use
Source of aware in A
Years ago 1st aware
Source of more info on A
Most influential source
use during trial stage
total # of practices adopted
Future attitude
Achievement Score
Attitude toward credit
Score on functional literacy t
Communication with ACAR repres
Economic knowledge
recognize any change agent act
# of home & farm equips owned
political knowledge score
income
total land area in pasture
total land area planted
# of cows giving milk
total land owned
respondent named as friend
respondent named as ag adv
respondent named for practic A
respondent named for practic B
respondent named for practic C
polymorphic OL for 3 practices
respondent named for loan
resp named for price info
resp named for coop comm proj
counterfactuality score
opinionness score
years of schooling by resp
political know 1
political know 2
political know 3
political know 4
political know 5
innovativeness time
adoption percent
# of practices discontinued
Mass media credibility
Trust
Status inconsistency
N achievement motivation
Attitude toward credit
Risk taking
Social participate
patriarchy
attit to credit for product
visitin cities
non-dependence on farming
OL total 7 items t-score
overall innovativeness score
cosmo index
mass media exposure index
empathy index
achievement motivation index 5
achievement motivation index 7
political knowledge index
mass media credibililty index
OL index
Actual Year of Adoption
--- MISSING INFO ---
Time of Adoption
Triangular values used as appro
high low percent of diffusion
--- MISSING INFO ---
new or old villages
card number
Source: radio
Source: TV
Source: Newpaper
Source: Magazine
Source: ACAR Bulletin
Source: Agronomist
Source: Neighbor
--- MISSING INFO ---
--- MISSING INFO ---
nomination friend 1
nomination friend 2
nomination friend 3
nomination influential 1
nomination influential 2
nomination influential 3
nomination practice A
nomination practice B
nomination practice C
nomination coop comm proj
--- MISSING INFO ---
Number of community
Time of Adoption
--- MISSING INFO ---
Number of study in Valente (1995)
The Brazilian Farmers data were collected as part of a USAID-funded study of farming practicing in the three countries, India, Nigeria, and Brazil. There was only one wave of data that contained survey questions regarding social networks, and only in Brazil did diffusion of the studied farming innovations reach an appreciable saturation level- that was for hybrid seed corn. The data were stored along with hundreds of other datasets by the University of Wisconsin library and I, Tom Valente, paid a fee to have the disks mailed to me in the early 1990s.
The dataset has 692 respondents (farmers) from 11 communities. Collected during 1966, it spans 20 years of farming pracitices.
Rogers, E. M., Ascroft, J. R., & Röling, N. (1970). Diffusion of Innovation in Brazil, Nigeria, and India. Unpublished Report. Michigan State University, East Lansing.
Valente, T. W. (1995). Network models of the diffusion of innovations (2nd ed.). Cresskill N.J.: Hampton Press.
Other diffusion datasets: brfarmersDiffNet
,
diffusion-data
,
fakeDynEdgelist
,
fakeEdgelist
, fakesurveyDyn
,
fakesurvey
, kfamilyDiffNet
,
kfamily
,
medInnovationsDiffNet
,
medInnovations


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SDK End Use License Agreement and Terms of Use
This SDK End User License Agreement and Terms of Use (the “EULA”) sets out the terms under which OneSignal,
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mechanism provided by Company (such as an “I Agree” or “I Accept” button), or by engaging in any other legally
sufficient behavior to signify acceptance. Please review these terms carefully, because they will bind you
with respect to your use of the EULA.
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including the Restrictions in Section 2, Company grants Licensee a limited, worldwide,
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market, license, sell, store, and otherwise exploit the SDK Information to the maximum extent permitted by
law, which shall include using the SDK Information for cross-app, cross-device, and other interest-based
advertising, analytics and market research. Without limiting the foregoing, neither Party shall use SDK
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- Privacy Compliance. The Parties agree to comply with all applicable
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- Licensee shall notify Company in writing of any further data usage or governance requirements,
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- For purposes of this EULA, “Confidential Information” means and includes (a) the terms of this EULA,
including any schedule, exhibit, attachment, or amendment hereto; and (b) all proprietary information,
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hold Licensee and its affiliates and their respective directors, officers, employees, and agents
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settlement amounts, fines, penalties, losses, costs, and expenses (including reasonable legal fees and
expenses and costs of investigation) and other liabilities (collectively, “Losses”) arising out of any
lawsuit, action, claim, demand, administrative action, arbitration, or other legal proceeding brought or
asserted against any Indemnified Licensee Person as a result of or in connection with: (a) Company’s
breach of any covenant or representation herein, or (b) any allegation that the use of the SDK infringes
or misappropriates an effective U.S. patent a U.S. registered trademark, a U.S. copyright or a trade
secret; provided, however, that the Company shall have no obligation to any Indemnified Licensee Person
under this Section 13 to the extent such claim arises from: (i) use of the SDK in a
manner or for a purpose not specifically authorized under this EULA; (ii) any modification, change,
amendment, customization, or adaptation of the SDK not made wholly by the Company or any of its
designees; (iii) any modification, change, amendment, customization, or adaptation of the SDK made by
the Company at Licensee’s request; (iv) Licensee’s failure to implement any corrections, updates, or
changes to the SDK provided by the Company; or (v) Licensee’s breach or alleged breach of
Section 2 of this EULA. If Licensee’s use of the SDK becomes (or is likely to become)
the subject of a third-party infringement claim, the Company may, at its expense and option: (x) procure
for Licensee the right to continue to use the SDK; (y) replace or modify the SDK so that it becomes
non-infringing; or (z) immediately terminate this EULA.
- Indemnification by Licensee. Licensee agrees to indemnify, defend, and hold
the Company and its affiliates and their respective directors, officers, employees, and agents
(collectively “Indemnified Company Persons”) harmless from and against any Losses arising out of any
lawsuit, action, claim, demand, administrative action, arbitration, or other legal proceeding brought or
asserted against any Indemnified Company Person as a result of or in connection with: (a) Licensee’s
breach or alleged breach of any covenant or representation herein or of Licensee’s own posted privacy
policy (or similar posted privacy statement); or (b) any violation of applicable law by Licensee or any
other Indemnified Licensee Persons.
- Notice and Defense. For any claim under this Section 13,
(a) the indemnified party shall provide the indemnifying party with prompt written notice of such claim;
(b) the indemnifying party shall have the right and authority to control and direct the investigation,
defense, and settlement of the claim; (c) the indemnifying party shall have no liability for any
settlement or agreement entered into by the indemnified party without the indemnifying party’s prior
written consent; and (d) the indemnified party shall provide such cooperation and assistance as may be
reasonably requested by the indemnifying party in connection with the investigation, defense, or
settlement of the claim.
- Miscellaneous
- Notices. All notices, requests, and approvals required by a Party under this
EULA shall be in writing addressed/directed to the other Party at the address set forth below. All such
notices, requests, and approvals shall be deemed given upon the earlier of receipt of facsimile or email
transmission during the normal business day or actual receipt thereof. In the event of use of email
notice, the sender shall request a read receipt or also send a hard copy by regular mail to ensure
delivery. All such notices, requests, and approvals shall be addressed to the attention of the signatory
parties, or such other party that either party has designated in a separate writing as the appropriate
notice recipient:
- Governing Law. This EULA shall be governed by the laws of the State of
California without regard to choice of law principles.
- Arbitration. Any controversy or claim arising out of or in any way connected
with this EULA between the Parties shall be resolved by one arbitrator, in accordance with the
Commercial Arbitration Rules of the American Arbitration Association and shall be held in San Francisco
County, California. Judgment upon the award rendered by the arbitrator may be entered in any court
having jurisdiction thereof. Costs of any arbitration shall be shared equally by the parties to the
arbitration.
- Assignment. Licensee may not assign or delegate any rights or obligations
under this EULA to any third party without the Company’s prior written consent. Notwithstanding the
foregoing, either Party may assign this EULA (along with all rights and obligations under it) to any of
its corporate affiliates, parents or subsidiaries, or in conjunction with the sale or transfer of all or
substantially all of its assets associated with performance under this EULA, provided that the assigning
party shall provide timely notice of such assignment.
- Amendment. No modification of this EULA or waiver of the terms and
conditions hereof shall be binding upon the Parties unless approved in writing by each of the Parties.
- Relationship of the Parties. The Parties agree they are independent
contractors to each other in performing their respective obligations hereunder. Nothing in this EULA or
in the working relationship being established and developed hereunder shall be deemed, nor shall it
cause, the Parties to be treated as partners, joint venturers, or otherwise as joint associates for
profit.
- No Waiver. Except as otherwise provided herein, the failure of either Party
to enforce at any time the provisions of this EULA shall not be constituted to be a present or future
waiver of such provisions, nor in any way affect the ability of either Party to enforce each and every
such provision thereafter.
- Severability. If any provision of this EULA is held invalid or unenforceable
at law, such provision shall be deemed stricken from this EULA and the remainder of this EULA shall
continue in effect and be valid and enforceable to the fullest extent permitted by applicable law.
- Entire Agreement. This EULA is the entire agreement between the Parties and
supersede any and all prior understanding, agreements, or representations by or between the Parties,
written or oral, which may have related to the subject matter hereof. There are no third party
beneficiaries to this EULA.
- Survival. Sections 3, 5,
7-8, 10-11 and
13-14 shall survive termination of this EULA, to the extent
contemplated by their terms.


Brian May: Sir Paul McCartney called me about badgers
The Beatles star is set to play Glastonbury.
Brian May has said Sir Paul McCartney called him about “the mass killing of badgers” ahead of announcing his Glastonbury performance.
The Beatles star is set to play the festival at Worthy Farm, and apparently checked in with the Queen guitarist regarding animal welfare.
May previously said he would not play Glastonbury after clashing with organiser Michael Eavis over the badger cull.
The rock star said Sir Paul called him about the cull before accepting the festival gig.
He wrote on Instagram: “Paul was kind enough to phone me about this before he accepted the invitation.
“He was concerned that he might be thought to be endorsing the current mass killing of badgers.
“Paul, a great campaigner on behalf of animals, is firmly against the Badger Cull.
“I told him he should not feel any obligations – that my reluctance to play was based on the personal comments Michael Eavis has made about me.”
May was termed a “danger to farming” by the festival founder due to his opposition to culling badgers.
Eavis’s support for the cull has prompted calls from some to boycott the festival at Worthy Farm.
May claims that the farmer and rock concert organiser “frequently insulted” him so he would not take part in the show, although he wished Sir Paul luck with the performance.
He wrote: “I work daily with people who disagree with me in matters like this – it’s necessary in order to move forward.

“People can change, and I’m always open to that. In the meantime I wish Paul and his band a great gig.”
May previously said badger culling is a “tragedy and unnecessary crime against wildlife”.
The animals are culled in an attempt to reduce the spread of bovine tuberculosis.


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Brazil"Because I dislike being quoted, I lie almost constantly when talking about my work." In 1975, former Monty Python cast member and celebrated animator Terry Gilliam had a great idea for a movie. Along with playwright Tom Stoppard (Rosencrantz and Guildenstern are Dead), he'd write and direct a sweeping, epic masterpiece about a world gone wrong. The film would take place "somewhere in the twentieth century." It would feature an oppressive, totalitarian government which systematically stripped the public of its basic freedoms in favor of an ostensibly fraudulent and hopeless war on terrorism. The term "information retrieval" would be used implicitly throughout the film, a euphemistic nickname for the gruesome torture techniques applied to suspected terrorists as they're kidnapped, secured, and readied for interrogation. The mechanics and systems of this "fantastical" world would need to be absurd and contradictory, serving only to bury its chief directors under bureaucracy, red tape, and endless coils of administrative paperwork. Identification cards, DNA scans and security checkpoints would round out Gilliam's view of a monolithic, technologically-driven society, and patriotic propaganda posters telegraphing a mandatory us-or-them mentality would be broadcast regularly to all citizens amidst the false cheeriness of a consumer theme park culture. Brazil would be an opus of visual metaphors, bleak slapstick, and unconventional narrative awash in elaborate special effects, apocalyptic scenes of destruction, and a general lack of discipline.The plot would sprawl and wander through corporate conspiracies, office politics, oedipal nightmares, and the operatic love-struck daydreams of Sam Lowry, the story's central protagonist. Gilliam's 1981 movie Time Bandits had grossed nearly $36 million in the United States alone, despite being rejected by every major studio and distributor. In the early eighties, Brazil was given a green light. Together with independent producer Arnon Milchan, Gilliam and Stoppard pitched their idea to Universal and Fox. Universal secured the American rights, Fox got the international, and the struggle to make it all happen would end up being an epic battle unto itself. "Brazil was a film that sat around for some years," Gilliam remembers. "I mean like ten years I'd been sort of thinking about this thing. It's all about my own frustrations and my seeming inability to achieve what I wanted to achieve and my inability to affect a system that is clearly wrong. The fears of Brazil are not so much that the world is spinning out of control because of the system, because the system is us. What Brazil is really about is that the system isn't great leaders, great machinating people controlling it all. It's each person performing their job as one little cog in this thing and Sam chooses to stay a little cog and ultimately he pays the price for that." Gilliam wanted Brazil to emulate Port Talbot, a small steel town in South Wales where everything the eye can see is blanketed with a fine layer of gray iron ore dust. "Even the beach is completely littered with dust, it's just black. I had this image of a guy sitting there on this dingy beach with a portable radio, tuning in these strange Latin escapist songs like Brazil. The music transported him somehow and made his world less gray." Over time, this man on the beach evolved into Sam Lowry. The set pieces and sound stages which really carry Brazil were intended
to look like an entire century compacted into a single moment -- i.e. the 1940s
and the 2000s smashed together. Filming took place all over the world in order
to accommodate the richly textured look Gilliam intended. The clerk's pool where
Sam Lowry works in the Records Department was shot in an abandoned grain mill
in London's Dockland. The mill was sprayed with gray paint, and flour sifters
were turned into benches. This same location was used for the corridors of the
Information Retrieval department where Sam goes after being promoted: the giant
holes in the ceiling are actually the bottoms of twelve story high grain silos.
The truck chase sequence (where Lowry and Jill Layton outrun security pursuit
vans) was filmed at the Marne la Vallee in France, a huge apartment complex
designed by Ricardo Bofil and the current site of Euro Disney. The Information
Retrieval chamber where Sam is interrogated was filmed in a cooling tower at
a power station in Southern England. Stunt men on cables descended a distance
of 170 feet to make their way inside. In the editing room, Gilliam found
himself looking at hundreds of reels of truly astounding and remarkable footage,
and while biting his nails he wondered how in the world he could possibly make
this film any shorter than five hours. Gilliam's modest, 20-week shoot ended
up lasting nine months and barely recouped its $15 million dollar budget --
largely the fault of producer Thomas Schuly who unwisely announced that Brazil
was going to be the biggest production since Cleopatra. However, Universal CEO Sidney Sheinberg was less than pleased. He sent a protest to Milchan, reminding him that he and Gilliam were violating their contracts by talking about Universal's version of Brazil, and they certainly shouldn't be showing it, since there were a few "unresolved issues" about the movie which needed to be addressed. It turns out that after Universal ran some test screenings in America, pressure was building to "edit" the film before it could be released. See, it might "play better" if the running time was cut from 142 minutes to ninety-seven. And it needs a happy ending. Sheinberg himself, whose own executive producer credits include Playing Mona Lisa, Slappy and the Stinkers, and The Pest, began hacking away at the film. His editors (Bill Gordean and Steve Lovejoy) created a version which looked less like Gilliam's masterpiece and more like a mawkish, cloying love story. Subtracted were necessary dream sequences offering contrast to the gray landscape. Gone were essential dramatic points along a cohesive plot. What was left? Spliced, disparate elements of vague humor and footage involving Sam pursuing his "dream girl" Jill Layton. Gordean and Lovejoy's ultimate crime was lopping off the entire ending sequence involving Sam Lowry's interrogation and loss of sanity. Instead, the film ends with a pastoral countryside pullback, where Sam and Jill finally consummate their relationship. Musical composer Michael Kamen's brilliant orchestral, symphonic score was replaced as well -- with rock music meant to "attract the teens." The whole movie had become a cliche factory. Arnon Milchan, the producer of the film, began making public declarations on how the studio had taken away Gilliam's film because it was only a few minutes over contractual obligation, and began calling for critics to see the film in England, where it was available from Fox Pictures. Sid Sheinberg responded back by saying that no amount of critical praise could reverse the studio's decision about Brazil. Gilliam told Sheinberg that if he was going to release to studio's edit of Brazil that he wanted his name off of the credits. Kamen was horrified. He'd worked long and hard to insure that the Brazil soundtrack would be loved by all, and indeed be a career-defining release. He remembers the bad news vividly: "They had removed my score from Brazil and replaced it with pop music. Well, first time for me, even more insulting, I consider myself a pop musician, a rock and roller. And an oboe player. I am a dessert topping and a floor polish. I am both. So, I did not even want to go outside to walk down the street. I was sure everybody -- like in a Bunuel film -- was pointing at me and laughing. I was crushed. But as time went on they did put the score to the film. There was a funny anecdote that years later I happened to have a publishing deal as we composers do, we make deals. In that case to but my house. And we made a deal with MCA, a division of Universal. The people who were guilty for Brazil. And they never did release the album. I made the album and handed it in and there was a bruhaha over it. They were so upset. They picked up the album and they threw it down and said: this comes out over my dead body. Something Sheinberg said. So they never released the album and I was still hurting from it. And then they did not sell the film anyway." Fans of the movie would have to wait eight years before the soundtrack was ultimately released. Gilliam's intended parable of dehumanization was wholly subverted by Sheinberg's edit, defeating the entire purpose of Brazil, and smooshing the movie into a futuristic fairy tale about a man's quest for a love -- with overextended action sequences and a subplot about terrorism thrown in for flavor. Sheinberg felt that even at 132 minutes, the film would fail. Much to Gilliam's surprise, Sheinberg's editors called him at his London home asking for his input on the new version. Gilliam had no input.  He kept his own cut of the film and shipped Sheinberg's editors only the outtakes, the blooper reels, and unusable footage. In the documentary The Battle of Brazil, Gilliam reflects on this outrage: "What do you mean you want my input? You're not saving my film.  You're destroying my film.  Terry Gilliam referred to this cut as Sid Sheinberg's Brazil. Others called it the Love Conquers All remix, while those in the fringe labeled it the Happy Ending cut, in reference to handjobs, prostitution, and the erotic massaging of a proud masterpiece into a limp noodle. Over a year later, the publicity war began. In Gilliam's own words, "It
became a stalemate situation. Arnon Milchan, the producer said we've got to
get lawyers in here and we've got to deal with this -- and I said nah, can't
get lawyers in. They've got all the lawyers in the world. They've got all the
money. They don't have to release the film, it's not going to kill them. They
can sit on it. We'll just have to approach it in a much more personalized way.
So the first thing I did was to take a full page ad out in Variety. The ad read: DEAR SID SHEINBERG, WHEN ARE YOU GOING TO RELEASE MY FILM 'BRAZIL'? When
the idea came up, I just decided to leap in and do it. And the minute I got
my Variety and opened it and saw it, that was the moment. I just went
oh fuck, what have I done?  And that lasted about
five minutes and then it was okay, it's done." When quizzed about his now adversarial relationship with Universal, Gilliam remained firm, attempting to make the battle as personal as possible: "I have a problem with a man named Sid Sheinberg and he looks like this!" Gilliam then pulled out an 8x10 glossy of Sheinberg and pointed to it on national television. "He is the one man standing in the way of America seeing one of the greatest films ever made." The Variety ad tickled the fancy of the Los Angeles Film Critics Association, who were now immensely curious about the film. Since Gilliam was not allowed to show Brazil in North America, he'd been screening the film for critics in clandestine locations. It was unanimous: the Association chose Brazil as the year's best picture. Gilliam won Best Director, and Gilliam, Charles McKeown, and Tom Stoppard were awarded Best Screenplay. Universal released the film two weeks later, where it received Oscar nominations for both its script and Norman Garwood's stunning production design. Universal Pictures, which has the tradition of running a full page ad in Variety congratulating winners if the winning movies are their own, forced Sheinberg to capitulate. Commercially in America, the film did only moderately well. Universal gave it virtually no advertising support, instead focusing their efforts on Out of Africa, which went on to win seven Academy Awards. In the film, Meryl Streep runs a coffee plantation and gets V.D. Today, there are five different versions of Brazil: The Fox European theatrical release, the American 132-minute theatrical and video release, the original European/Japanese video and laserdisc release, the "Final Director's Cut" Criterion Collection DVD set, and the miserable Sheinberg edit -- which unfortunately can still be seen from time to time on broadcast television. Brazil is regarded by many critics, historians, filmmakers, and film buffs as one of the most original and influential movies of the past fifty years. Best-selling fantasy author Harlan Ellison declared Brazil "the finest science fiction movie ever made." Eight years later, Brazil musical composer Michael Kamen remembered a key exchange while renegotiating his contract with MCA, which had accidentally lapsed: "I had a chance now. I said: 'Listen, there is an album somewhere in your vaults probably in LA. And it is sitting on a shelf some place. I have been waiting for this album to come out for eight years. It is from a film called Brazil. And I would like that released.  And I left. And they did make the phone call, and the album came out, but by that time I had already another publishing deal with a much bigger advance." Gilliam went on to direct The Adventures of Baron Munchausen, The Fisher King, Twelve Monkeys, and Fear and Loathing in Las Vegas. He jokingly refers to Brazil as the second of a trilogy of movies (the first and third being Time Bandits and Munchausen, respectively). The three films share a related theme of the struggle for imagination and free thinking in a world constantly suppressing such ideas. Gilliam's struggle (and ultimate failure) to film The Man Who Killed Don Quixote was outlined in the film Lost in La Mancha. The documentary offers a fascinating, educational autopsy of a movie idea Gilliam was forced to abandon after a disastrous six-day film shoot was marred by noisy NATO helicopters, horrendous hail storms, physically fragile actors, and Johnny Depp. |


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Classes
The following classes are available globally.
-
See moreBSONDecoder
facilitates the decoding of BSON into semanticDecodable
types.Declaration
Swift
public class BSONDecoder
-
An iterator over the values in a
See moreBSONDocument
.Declaration
Swift
public class BSONDocumentIterator : IteratorProtocol
-
See moreBSONEncoder
facilitates the encoding ofEncodable
values into BSON.Declaration
Swift
public class BSONEncoder
-
Declaration
Swift
public class ChangeStream<T> : CursorProtocol where T : Decodable, T : Encodable
-
A MongoDB client session. This class represents a logical session used for ordering sequential operations.
To create a client session, use
startSession
orwithSession
on aMongoClient
.If
causalConsistency
is not set tofalse
when starting a session, read and write operations that use the session will be provided causal consistency guarantees depending on the read and write concerns used. Using “majority” read and write preferences will provide the full set of guarantees. See https://docs.mongodb.com/manual/core/read-isolation-consistency-recency/#sessions for more details.e.g.
let opts = MongoCollectionOptions(readConcern: .majority, writeConcern: .majority) let collection = database.collection("mycoll", options: opts) let futureCount = client.withSession { session in collection.insertOne(["x": 1], session: session).flatMap { _ in collection.countDocuments(session: session) } }
To disable causal consistency, set
causalConsistency
tofalse
in theClientSessionOptions
passed in to eitherwithSession
orstartSession
.See moreSee also
Declaration
Swift
public final class ClientSession
-
A MongoDB Client providing an asynchronous, SwiftNIO-based API.
See moreDeclaration
Swift
public class MongoClient
extension MongoClient: Equatable
-
A MongoDB cursor.
See moreDeclaration
Swift
public class MongoCursor<T> : CursorProtocol where T : Decodable, T : Encodable


{% extends "layout.html" %} {% block content %} This is a Base Flask app with Dash apps embedded. {% endblock %}


View on Eventbrite Reserve Tickets Directions to Event Preferred Mode of Travel: Driving Walking Bicycling Transit
Liked Disliked
{{event.username}} {{commentText}} Delete
{{commentText}}
{{commentText}}


WITNESS LIST Ways & Means Committee November 25, 2002-1:30P Interim Charge #3 On: Kim, Eleanor (Texas Comptroller)


Move your cursor around to seed the random number generator...
A simple passphrase generator that uses the Diceware method to generate secure passphrases.
The app is using the seedrandom.js library to strengthen the pseudo-random number generator by seeding it with mouse coordinates and other sources of entropy. If you use a modern browser, it will
use the much more secure window.crypto
as its random number source.
The complete code for the app is available on GitHub ready to be forked and hosted by yourself.
Thanks to the grugq for inspiration, David Bau for seedrandom.js and Arnold G. Reinhold for the Diceware word list.
diceware.herokuapp.com and its authors are not responsible for any loss of data or personal information. Passphrases are used at the user’s own risk and no liability will be asumed. By using this website, you agree that the website and its authors are not liable for any losses incurred. diceware.herokuapp.com and its authors are not responsible or liable, directly or indirectly, for any damage or loss caused by or in connection with the use of, or reliance on, any such content, goods or services available on or through this website.


Antharas Watchman Gilmore:
Baraham is now an evil creature living in a cave in the Bee Hive area. Find her and you'll find the records. Good luck!


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|
PU2CLR MCP23008 Arduino Library
1.0.7
Arduino Library for MCP23008 Device - By Ricardo Lima Caratti
|
Functions | |
| bool | MCP::isBitValueHigh (uint8_t byteValue, uint8_t bitNumber) |
| Checks if the Bit Value of a given bit position is high. More... | |
| void | MCP::setClock (long freq) |
| Sets I2C bus to a given frequency. More... | |
| uint8_t | MCP::lookForDevice () |
| Look for MCP23008 device I2C Address. More... | |
| void | MCP::reset () |
| Resets the MCP23008. More... | |
| void | MCP::setup (uint8_t i2c=0x20, uint8_t io=GPIO_OUTPUT, int reset_pint=-1, long i2c_freq=100000) |
| Starts the MCP23008. More... | |
|
inline |
Checks if the Bit Value of a given bit position is high.
This funcion is useful to extract a bit value (0 or 1) from a given MCP23008 register
| byteValue | byte or register value |
| bitNumber | bit offset (number / possition from 0 to 7) |
|
inline |
Sets I2C bus to a given frequency.
100000 = 100KHz; 400000 = 400KHz etc
Plese check the property I2C bus frequency/speed of your board
Referenced by MCP::setup().
| uint8_t MCP::lookForDevice | ( | ) |
Look for MCP23008 device I2C Address.
This method will look for a valid MCP23008 device adress between 0x20 and 0x27
| void MCP::reset | ( | ) |
Resets the MCP23008.
this method can be used if you want to control the reset of the MCP23008 device. You need to select the Arduino pin via setup method.
You can used the MCP23008 RESET pin connected to the Arduino RESET pin. In this case, you not need to use this function.
References MCP::reset_pin.
Referenced by MCP::setup().
| void MCP::setup | ( | uint8_t | i2c = 0x20 , |
| uint8_t | io = GPIO_OUTPUT , |
||
| int | reset_pin = -1 , |
||
| long | i2c_bus_freq = 100000 |
||
| ) |
Starts the MCP23008.
Starts the MCP23008 and sets the default values.
| i2c | I2C address (0x20 ~ 0x27) - default 0x20; ports input / output setup; Arduino reset pin; and I2C clock frequency |
| io | If GPIO_OUTPUT (0), all GPIO PINS will configured to output If GPIO_INPUT (255), all GPIO PINS will configured to input You also can use a bitmask to configure some pins for input and other pins for output. |
| reset_pin | if you want to control the reset, select an Arduino pin to do that. |
| i2c_bus_freq | set the I2C bus frequency/speed (default 100000 = 100KHz) |
References MCP::reset(), MCP::reset_pin, and MCP::setClock().


Python assignment - CSC108 : Exploring the Twitterverse
Assignment 3: Exploring the Twitterverse
Purpose
The purpose of this assignment is to give you practise working with files, building and using dictionaries, designing functions, and writing unit tests.
Introduction: The Twitterverse
Twitter is a social networking website where users can post very short messages know as “tweets”. Each Twitter user can choose to “follow” other users, which means that they see those users’ tweets. A Twitter user sees the tweets of users they are “following”, and their tweets are seen by their “followers” (the users who follow them).
All the “follow” connections define a network among Twitter users, and it’s quite interesting to look for patterns in the connections. Tools like Twiangulate let you explore questions like “what connections do my two friends have in common?”. In this assignment, you’ll write a program that lets you ask questions (or “queries”) about a Twitter dataset.
Any tool for exploring the Twitterverse must get its data from Twitter itself. Twitter provides an API to allow programmers to write programs that interact with Twitter and extract data from it. In general, an API is a module that defines functions for accessing underlying data and performing other tasks without having to know how that data is actually stored and retrieved.
To make this assignment more manageable for you, we will assume that the information we need has already been extracted from Twitter and stored in a file.
How to tackle this assignment
This is your first experience designing a program of this size. We are providing detailed advice to help you break the task down into manageable pieces.
Make sure your twitterverse_functions.py module runs without error before submitting. If you have syntax errors in your module, comment them out before submitting, or we will not be able to test your functions!
The Twitter Data File
A Twitter data file contains a series of one or more user profiles, one after the other. Each user profile has the following elements, in this order: A line containing a non-blank, non-empty username. You may assume that usernames are unique, that is, a single username will not occur more than once in the file, and that usernames do not contain any whitespace. A line for the user’s actual name. If they did not provide a name, this line will be blank. A line for the user’s location, or a blank line if they did not provide one. A line for the URL of a website, or a blank line if they did not provide one. Zero or more lines for the user’s bio, then a line with nothing but the keyword ENDBIO on it. This marks the end of the bio, and is not considered part of it. (You may assume that no bio has the string ENDBIO within it.) If the user did not provide a bio, the ENDBIO line will come immediately after the website line, with no blank line in between. Zero or more lines each containing the username of someone that this user is following, then a line with the keyword END on it. (You may assume that no one has END as their username.) A user cannot be on his or her own following list. You may assume that every user on a following list has a user profile in the Twitter data file. Notice that the keywords act as separators in this file. All of their letters are capitalized, and the keywords contain no punctuation. Examples
Here is a sample user profile that might occur among many in a file: tomCruise Tom Cruise Los Angeles, CA http://www.tomcruise.com Official TomCruise.com crew tweets. We love you guys! Visit us at Facebook! ENDBIO katieH NicoleKidman END The file data.txt is a smallish example of a complete Twitter data file (and was made by hand) and the file rdata.txt is a much larger example (and is made from real data extracted from Twitter). These should help you confirm your understanding of the file format and will also be useful in testing your program. Cycles in the data
Although a user cannot be on their own following or followers lists, there can be “loops” (we call them “cycles”) such as this: user A can be following B who is following A. This is the shortest possible cycle. Of course, cycles can be longer.
The Query File
Note that the word “query” just means “question”. In computer science, we use it to mean a request for information. For this assignment, a query will be provided in a file. Below we will review the high level parts of the query, look at an example, and then describe the format of the query file. Overview
A query has three components: a search specification, a filter specification, and a presentation specification.
The search specification describes how to generate a list of Twitter usernames, starting with an initial username (a list of length one) and then finding their followers or people they are following, then people that are those people’s followers or who they are following, and so on. When processing the search specification, don’t try to do anything to avoid cycles. For instance, if the search specification says to find the people who user A is following, and from there the people they are following, you could find yourself back at user A. Don’t try to avoid that.
After processing the search specification, we have a list of Twitter usernames. Its length could be zero. For example, if the initial username is ‘dianelynnhorton’ and the search specification contains a single ‘followers’ keyword, then the length of the list will be zero if ‘dianelynnhorton’ has no followers.
The filter specification describes how to filter the list of usernames produced by the search specification. The filtering can be based on
whether or not they are following a particular user, whether or not a particular user is their follower, whether their name contains a particular string (case-insensitive), or whether their location contains a particular string (case-insensitive). After processing the filter specification, we have a possibly reduced list of usernames. Once the search results have been found and filtered, the presentation specification describes how the output should be presented. It specifies on what basis the results should be sorted, and whether the results should be presented in a short or long format.
Example query
Here is an example query:
SEARCH tomCruise following following following FILTER following KatieH location-includes USA PRESENT sort-by popularity format long
The search specification in this particular query has four steps. Start with a list containing the username to start the search from; ie. [‘tomCruise’]. Let’s call that list L1. The search keyword ‘following’ says to replace each username p in L1 with the usernames of the users who p is following. This yields a new list, L2. For the next ‘following’ keyword, we start with L2 and repeat the same operation as in the previous step, yielding another list, L3. For the final ‘following’ keyword, we start with L3 and repeat that operation one last time, yielding list L4. Notice that each step yields a list of zero or more usernames that is the input to the next step. There should be no duplicates in the final results list. Duplicates should be removed after each step. The Twitter data file diagram_data.txt contains the follower/following relationships as represented by this diagram. For those relationships, the search specification above would yield this list of usernames: [‘i’, ‘j’, ‘h’, ‘k’, ‘tomCruise’]. Make sure that you can see how the four lists, ending with this final one, are generated. Notice that the final list contains the users you can get to in three “steps” of the “following” relationship, starting from ‘tomCruise’.
The final list generated by the search specification becomes the input to the filter specification. For our current example, the filter specification says that the list should be filtered in this way: a user should be kept only if they are following ‘KatieH’ and has a location that includes the string ‘USA’. The presentation specification says to present the results in long format and to order the users according to their popularity.
Now let’s look in detail at the exact format and meaning of a query.
Overall format of a query
The format of the query data file is as described below, in this order:
The keyword SEARCH alone on a line. The search specification. The keyword FILTER alone on a line. The filter specification. The keyword PRESENT alone on a line. The presentation specification. Notice that the keywords above all act as separators in this file and are in all capital letters. There are other keywords (such as following which can be part of a search specification) that are not separators; they are not capitalized. Format and meaning of the search specification
The format of a search specification is as shown below, in this order:
A single username Zero or more lines, in any order, each containing one of: the keyword followers the keyword following Each step in the search specification involves modifying the current list of users by going through each user in the current list and finding their followers or who they are following. Importantly, at each step, we want to create the new results list by replacing each user from the current list with the users that they are following or who are their followers.
The possible search operations for a given user are:
followers operation: a list of all usernames for users who are following the given user (ie. that have the given username in the value list paired with the key ‘following’ in their data in the Twitterverse dictionary). following operation: a list of all usernames for users who the given user is following (ie. the value list paired with the key ‘following’ in the data associated with the given user in the Twitterverse dictionary). Note that, if the list of usernames is [‘A’], and we perform a ‘followers’ or ‘following’ operation, ‘A’ will not be in the resulting list, since users cannot follow themselves. If ‘A’ is one of multiple usernames in the current list, then ‘A’ can appear in the results list, but only if one of the other usernames produces ‘A’ from the search operation.
The final list of results should not contain any duplicates. It is most efficient to remove duplicates after each operation is performed.
Format and meaning of the filter specification
The format of a filter specification is:
Zero or more lines, in any order, each containing one of the following: the keyword name-includes, a space, and a string to match the keyword location-includes, a space, and a string to match the keyword follower, a space, and a string which is a valid username the keyword following, a space, and a string which is a valid username Each of the lines has exactly one blank within it (the space separating the keyword from the next string), and each keyword will appear at most once. The filters are “additive” in that each filter step should be applied to the list that resulted from the previous filter step. That is, you start with the list from the search specification, filter it based on the first filter step to get a new list L1, filter L1 in the second filter step to get L2, and so on.
The ‘following’ and ‘follower’ filters will keep users in the list if they are following a particular user, or if a particular user is their follower. These filters are defined as:
The ‘following’ filter keeps only users who have the provided username in their ‘following’ list. The ‘follower’ filter keeps only users who appear in the ‘following’ list for the provided username. The filters that have ‘includes’ as part of the keyword will do a simple substring search on the string representing the relevant data for the user in the Twitterverse dictionary. This means that if the given string occurs anywhere in a user’s name (for a ‘name-includes filter’) or a user’s location (for a ‘location-includes’ filter), then that user is to be kept in the list. The substring search should be case-insensitive. For example, if the filter specifies users whose locations include the string “USA”, then users with location “USA”, “Modesto, California, USA”, “kansas, usa” or “Musala, Bulgaria” would be kept, and users with location “United States of America” would be excluded. This is far from perfect, but don’t try to improve on it.
Format and meaning of the presentation specification
The output from your program must include every user whose username is still in the list after the search and filter specifications have been processed.
The presentation specification describes how the output should be presented. It consists of these two lines, in order:
The keyword ‘sort-by’, then a space, then one of these keywords: ‘username’, ‘name’, ‘popularity’ Either ‘format short’ or ‘format long’. The users must be listed in the order indicated by the ‘sort-by’ portion of the presentation specification. Output that is sorted by username or name should be in alphabetical order, so that strings starting with ‘a’ are at the beginning of the output. Although usernames are unique, names are not. If any users have the same name, sort them by username. When sorting users by popularity, the most popular users should come first. A user’s popularity is defined to be the number of followers they have. (Not the number of people they are following!) If any users are tied for popularity, sort them by username.
If the presentation specification is for short format output, the output should consist of the usernames as a Python list of strings. If the presentation specification is for long format output, the output for each user should consist of a series of lines about the user, as shown in the example below. The long format output must include a line of ten dashes between each pair of users, as well as a line of dashes at the very top and very bottom of the output.
If there are no users to be presented (i.e., the 2nd parameter in get_present_string represents an empty list), then the long format output should just include two lines of dashes.
For the long format, the series of lines describing a single user should be formatted as shown below:
tomCruise name: Tom Cruise location: Los Angeles, CA website: http://www.tomcruise.com bio: Official TomCruise.com crew tweets. We love you guys! Visit us at Facebook! following: [‘katieH’, ‘NicoleKidman’] Notice that: The name, location, and website text is reproduced exactly as it was in the Twitter data file, with the addition of the labels at the start of the line. The bio begins on the line after the line containing ‘bio:’, unlike the other components that appear on the same line as their “tag”. The bio itself is also reproduced exactly as it was in the Twitter data file, including upper and lower case, newline characters, etc. The “following” list is produced simply by converting the list of username strings to a string.


Money Play. How should Red play 42?
pips Red=109 White=150
(CorrectAnswer= 0/0, ErrorScore= 0)
The Tempestuous Turk, who features in my newspaper column, was adamant that the correct play here was 13/9, 4/2 because of the duplications of fours.
That play, however, is a classic example of duplication for duplication's sake. Very often duplication is not the overriding consideration in a position. That is certainly true here where the simple 16/14, 6/2 is correct. When ahead in the race, race – now where have I heard that before?
That play, however, is a classic example of duplication for duplication's sake. Very often duplication is not the overriding consideration in a position. That is certainly true here where the simple 16/14, 6/2 is correct. When ahead in the race, race – now where have I heard that before?
1. Cubeful 2-ply 16/14 6/2 Eq.: +0.201 0.636 0.116 0.002 - 0.364 0.065 0.001 2. Cubeful 2-ply 13/9 4/2 Eq.: +0.170 (-0.031) 0.621 0.131 0.002 - 0.379 0.073 0.002 3. Cubeful 2-ply 6/2 4/2 Eq.: +0.116 (-0.085) 0.605 0.117 0.002 - 0.395 0.077 0.002 4. Cubeful 2-ply 16/14 13/9 Eq.: +0.104 (-0.097) 0.603 0.129 0.003 - 0.397 0.094 0.003 5. Cubeful 2-ply 8/6 8/4 Eq.: +0.047 (-0.154) 0.577 0.125 0.002 - 0.423 0.088 0.003


Models¶
Introduction¶
The rate model is a set of coupled, linear differential equations. The model classes contain methods for solving these equations in the steady state using matrix methods. Model2 is the recommended model. See the examples for usage.
API Documentation¶
- class spinstats.models.Model2[source]¶
A class for performing calculations of the spin-statistical factor.
- 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
- gaplaw_A¶
Energy gap law prefactor in unts of per ns.
- Type
float
- gaplaw_gamma¶
Material dependent gamma factor from the energy gap law.
- Type
float
- gaplaw_Evib¶
Vibrational energy to use in the energy gap law in units of eV.
- Type
float
- gaplaw_kT¶
Thermal energy for internal conversion calculations in units of eV.
- Type
float
- G¶
The exciton generation rate for
initial_state
. Units of per volume per time.- Type
float
- kD¶
Rate of triplet-pair dissociation into free triplets. Units of per ns.
- Type
float
- kTTA¶
(Arbitrary) effective linear rate of triplet-triplet annihilation . UNits of per ns.
- Type
float
- kIC1¶
Rate of internal conversion from \(^3(TT)\) to \(T_1\). Units of per ns.
- Type
float
- kIC2¶
Rate of internal conversion from \(^3(TT)\) to \(T_2\). Units of per ns.
- Type
float
- kIC21¶
Rate of internal conversion from \(T_2\) to \(T_1\). Units of per ns.
- Type
float
- kRISC¶
Rate of high-level intersystem crossing from \(T_2\) to \(S_1\). Units of per ns.
- Type
float
- kTF¶
Rate of triplet-pair fusion from weakly exchange-coupled to strongly exchange-coupled. Units of per ns.
- Type
float
- kTS¶
Rate of triplet-pair separation from strongly exchange-coupled to weakly exchange-coupled. Units of per ns.
- Type
float
- kSF¶
Rate of singlet fission from \(S_1\) to \(^1(TT)\). Units of per ns.
- Type
float
- k_SF¶
Rate of triplet-pair fusion from \(^1(TT)\) to :math`S_1`. Units of per ns.
- Type
float
- kS¶
Radiative rate of the \(S_1\) state. Units of per ns.
- Type
float
- kT¶
Nonradiative rate of the \(T_1\) state. Should be set to zero for true calculations of spin statistics. Units of per ns.
- Type
float
- cs¶
1D array containing the overlap factors between the 9 \((T..T)\) states and \(^1(TT)\).
- Type
numpy.ndarray
- ct_m¶
1D array containing the overlap factors between the 9 \((T..T)\) states and \(^3(TT)_m\), where m is x, y or z.
- Type
numpy.ndarray
- cq_m¶
1D array containing the overlap factors between the 9 \((T..T)\) states and \(^5(TT)_m\), where m is a, b, x, y or z.
- Type
numpy.ndarray
- simulation_results¶
Produced by
simulate()
. Keys are the excited-state names (str), values are the simulated populations (float).- Type
dict
- plqy¶
Calculated photoluminescence quantum yield from
calculate_plqy()
.- Type
float
- ucqy¶
Calculated upconversion quantum yield from
calculate_ucqy()
.- Type
float
- eta¶
Calculated spin-statistical factor from
calculate_eta()
.- Type
float
- calculate_internal_conversion_rate(deltaE)¶
Compute an internal conversion rate based on the energy gap law.
- Parameters
deltaE (float) – Energy gap between the initial and final state. Positive if the final state is higher in energy.
- Returns
kIC – Internal conversion rate in unts of per ns.
- Return type
float
- set_spinhamiltonian_parameters(spinhamiltonian)¶
Import calculated overlaps from the spin Hamiltonian
- Parameters
spinhamiltonian (spinstats.SpinHamiltonian) – Instance of
spinstats.SpinHamiltonian
, with parameters already computed.- Returns
- Return type
None.
- class spinstats.models.Model1[source]¶
A class for performing calculations of the spin-statistical factor.
- 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
- gaplaw_A¶
Energy gap law prefactor in unts of per ns.
- Type
float
- gaplaw_gamma¶
Material dependent gamma factor from the energy gap law.
- Type
float
- gaplaw_Evib¶
Vibrational energy to use in the energy gap law in units of eV.
- Type
float
- gaplaw_kT¶
Thermal energy for internal conversion calculations in units of eV.
- Type
float
- G¶
The exciton generation rate for
initial_state
. Units of per volume per time.- Type
float
- kD¶
Rate of triplet-pair dissociation into free triplets. Units of per ns.
- Type
float
- kTTA¶
(Arbitrary) effective linear rate of triplet-triplet annihilation . UNits of per ns.
- Type
float
- kIC1¶
Rate of internal conversion from \(^3(TT)\) to \(T_1\). Units of per ns.
- Type
float
- kIC2¶
Rate of internal conversion from \(^3(TT)\) to \(T_2\). Units of per ns.
- Type
float
- kIC21¶
Rate of internal conversion from \(T_2\) to \(T_1\). Units of per ns.
- Type
float
- kRISC¶
Rate of high-level intersystem crossing from \(T_2\) to \(S_1\). Units of per ns.
- Type
float
- kTF¶
Rate of triplet-pair fusion to form \(S_1\). Units of per ns.
- Type
float
- kSF¶
Rate of singlet fission from \(S_1\) to triplet-pair states. Units of per ns.
- Type
float
- kS¶
Radiative rate of the \(S_1\) state. Units of per ns.
- Type
float
- kT¶
Nonradiative rate of the \(T_1\) state. Should be set to zero for true calculations of spin statistics. Units of per ns.
- Type
float
- cs¶
1D array containing the overlap factors between the 9 \((T..T)\) states and \(^1(TT)\).
- Type
numpy.ndarray
- ct_m¶
1D array containing the overlap factors between the 9 \((T..T)\) states and \(^3(TT)_m\), where m is x, y or z.
- Type
numpy.ndarray
- cq_m¶
1D array containing the overlap factors between the 9 \((T..T)\) states and \(^5(TT)_m\), where m is a, b, x, y or z.
- Type
numpy.ndarray
- simulation_results¶
Produced by
simulate()
. Keys are the excited-state names (str), values are the simulated populations (float).- Type
dict
- plqy¶
Calculated photoluminescence quantum yield from
calculate_plqy()
.- Type
float
- ucqy¶
Calculated upconversion quantum yield from
calculate_ucqy()
.- Type
float
- eta¶
Calculated spin-statistical factor from
calculate_eta()
.- Type
float
- calculate_internal_conversion_rate(deltaE)¶
Compute an internal conversion rate based on the energy gap law.
- Parameters
deltaE (float) – Energy gap between the initial and final state. Positive if the final state is higher in energy.
- Returns
kIC – Internal conversion rate in unts of per ns.
- Return type
float
- set_spinhamiltonian_parameters(spinhamiltonian)¶
Import calculated overlaps from the spin Hamiltonian
- Parameters
spinhamiltonian (spinstats.SpinHamiltonian) – Instance of
spinstats.SpinHamiltonian
, with parameters already computed.- Returns
- Return type
None.


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A spacious, not noisy place in the center
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- add()
- Method in class seedu.address.logic.CommandHistoryTest
-
- add() -
Method in class systemtests.AddCommandSystemTest
-
- add(String)
- Method in class seedu.address.logic.CommandHistory
-
Appends userInput
to the list of user input entered.
- add(String)
- Method in class seedu.address.logic.ListElementPointer
-
Appends element
to the end of the list.
- add(Person)
- Method in class seedu.address.model.person.UniquePersonList
-
Adds a person to the list.
- add_duplicatePerson_throwsDuplicatePersonException()
- Method in class seedu.address.model.person.UniquePersonListTest
-
- add_nullPerson_throwsNullPointerException()
- Method in class seedu.address.model.person.UniquePersonListTest
-
- AddCommand - Class in
seedu.address.logic.commands
-
Adds a person to the address book.
- AddCommand(Person)
- Constructor for class seedu.address.logic.commands.AddCommand
-
Creates an AddCommand to add the specified Person
- AddCommandIntegrationTest
- Class in seedu.address.logic.commands
-
Contains integration tests (interaction with the Model) for AddCommand
.
- AddCommandIntegrationTest()
- Constructor for class seedu.address.logic.commands.AddCommandIntegrationTest
-
- AddCommandParser -
Class in seedu.address.logic.parser
-
Parses input arguments and creates a new AddCommand object
- AddCommandParser()
- Constructor for class seedu.address.logic.parser.AddCommandParser
-
- AddCommandParserTest -
Class in seedu.address.logic.parser
-
- AddCommandParserTest()
- Constructor for class seedu.address.logic.parser.AddCommandParserTest
-
- AddCommandSystemTest
- Class in systemtests
-
- AddCommandSystemTest()
- Constructor for class systemtests.AddCommandSystemTest
-
- AddCommandTest - Class in seedu.address.logic.commands
-
- AddCommandTest()
- Constructor for class seedu.address.logic.commands.AddCommandTest
-
- addPerson(Person)
- Method in class seedu.address.model.AddressBook
-
Adds a person to the address book.
- addPerson(Person)
- Method in interface seedu.address.model.Model
-
Adds the given person.
- addPerson(Person)
- Method in class seedu.address.model.ModelManager
-
- Address - Class in seedu.address.model.person
-
Represents a Person's address in the address book.
- Address(String)
- Constructor for class seedu.address.model.person.Address
-
Constructs an Address
.
- ADDRESS_DESC_AMY
- Static variable in class seedu.address.logic.commands.CommandTestUtil
-
- ADDRESS_DESC_BOB
- Static variable in class seedu.address.logic.commands.CommandTestUtil
-
- ADDRESS_VALIDATION_REGEX
- Static variable in class seedu.address.model.person.Address
-
- AddressBook - Class in seedu.address.model
-
Wraps all data at the address-book level
Duplicates are not allowed (by .isSamePerson comparison)
- AddressBook() - Constructor for
class seedu.address.model.AddressBook
-
- AddressBook(ReadOnlyAddressBook)
- Constructor for class seedu.address.model.AddressBook
-
Creates an AddressBook using the Persons in the toBeCopied
- addressBook_dataFileDoesNotExist_loadSampleData()
- Method in class systemtests.SampleDataTest
-
- AddressBookBuilder - Class in seedu.address.testutil
-
A utility class to help with building Addressbook objects.
- AddressBookBuilder()
- Constructor for class seedu.address.testutil.AddressBookBuilder
-
- AddressBookBuilder(AddressBook)
- Constructor for class seedu.address.testutil.AddressBookBuilder
-
- AddressBookChangedEvent - Class in seedu.address.commons.events.model
-
Indicates the AddressBook in the model has changed
- AddressBookChangedEvent(ReadOnlyAddressBook)
- Constructor for class seedu.address.commons.events.model.AddressBookChangedEvent
-
- AddressBookParser -
Class in seedu.address.logic.parser
-
Parses user input.
- AddressBookParser()
- Constructor for class seedu.address.logic.parser.AddressBookParser
-
- AddressBookParserTest -
Class in seedu.address.logic.parser
-
- AddressBookParserTest()
- Constructor for class seedu.address.logic.parser.AddressBookParserTest
-
- addressBookReadSave()
- Method in class seedu.address.storage.StorageManagerTest
-
- AddressBookStorage - Interface in seedu.address.storage
-
- AddressBookSystemTest
- Class in systemtests
-
A system test class for AddressBook, which provides access to handles of GUI components
and helper methods
for test verification.
- AddressBookSystemTest()
- Constructor for class systemtests.AddressBookSystemTest
-
- AddressBookTest - Class in seedu.address.model
-
- AddressBookTest()
- Constructor for class seedu.address.model.AddressBookTest
-
- AddressTest - Class in seedu.address.model.person
-
- AddressTest()
- Constructor for class seedu.address.model.person.AddressTest
-
- after() - Method in
class seedu.address.ui.testutil.EventsCollectorRule
-
- after() - Method in class
seedu.address.ui.testutil.StageRule
-
- after() - Method in
class systemtests.ClockRule
-
- ALERT_DIALOG_PANE_FIELD_ID
- Static variable in class seedu.address.ui.UiManager
-
- AlertDialogHandle - Class in guitests.guihandles
-
A handle for the AlertDialog
of the UI.
- AlertDialogHandle(Stage)
- Constructor for class guitests.guihandles.AlertDialogHandle
-
- ALICE
- Static variable in class seedu.address.testutil.TypicalPersons
-
- AMY -
Static variable in class seedu.address.testutil.TypicalPersons
-
- APP_TITLE - Static
variable in class seedu.address.TestApp
-
- apply(Statement, Description)
- Method in class seedu.address.ui.testutil.EventsCollectorRule
-
- apply(Statement, Description)
- Method in class seedu.address.ui.testutil.StageRule
-
- apply(Statement, Description)
- Method in class systemtests.ClockRule
-
- AppParameters
- Class in seedu.address
-
Represents the parsed command-line parameters given to the application.
- AppParameters() - Constructor for
class seedu.address.AppParameters
-
- AppParametersTest
- Class in seedu.address
-
- AppParametersTest()
- Constructor for class seedu.address.AppParametersTest
-
- AppUtil - Class in seedu.address.commons.util
-
A container for App specific utility functions
- AppUtil() - Constructor for class
seedu.address.commons.util.AppUtil
-
- AppUtilTest - Class in seedu.address.commons.util
-
- AppUtilTest()
- Constructor for class seedu.address.commons.util.AppUtilTest
-
- ArgumentMultimap -
Class in seedu.address.logic.parser
-
Stores mapping of prefixes to their respective arguments.
- ArgumentMultimap()
- Constructor for class seedu.address.logic.parser.ArgumentMultimap
-
- ArgumentTokenizer -
Class in seedu.address.logic.parser
-
Tokenizes arguments string of the form: preamble <prefix>value <prefix>value
...
e.g.
- ArgumentTokenizer()
- Constructor for class seedu.address.logic.parser.ArgumentTokenizer
-
- ArgumentTokenizerTest -
Class in seedu.address.logic.parser
-
- ArgumentTokenizerTest()
- Constructor for class seedu.address.logic.parser.ArgumentTokenizerTest
-
- asObservableList_modifyList_throwsUnsupportedOperationException()
- Method in class seedu.address.model.person.PersonTest
-
- Assert - Class in seedu.address.testutil
-
A set of assertion methods useful for writing tests.
- Assert() -
Constructor for class seedu.address.testutil.Assert
-
- Assert.VoidCallable -
Interface in seedu.address.testutil
-
Represents a function which does not return anything and may throw an exception.
- assertApplicationDisplaysExpected(String, String, Model)
- Method in class systemtests.AddressBookSystemTest
-
Asserts that the CommandBox
displays expectedCommandInput
, the
ResultDisplay
displays
expectedResultMessage
, the storage contains the same person objects as
expectedModel
and the person list panel displays the persons in the model correctly.
- assertCardDisplaysPerson(Person, PersonCardHandle)
- Static method in class seedu.address.ui.testutil.GuiTestAssert
-
Asserts that actualCard
displays the details of expectedPerson
.
- assertCardEquals(PersonCardHandle, PersonCardHandle)
- Static method in class seedu.address.ui.testutil.GuiTestAssert
-
Asserts that actualCard
displays the same values as
expectedCard
.
- assertCommandBoxShowsDefaultStyle()
- Method in class systemtests.AddressBookSystemTest
-
Asserts that the command box's shows the default style.
- assertCommandBoxShowsErrorStyle()
- Method in class systemtests.AddressBookSystemTest
-
Asserts that the command box's shows the error style.
- assertCommandFailure(Command, Model, CommandHistory, String)
- Static method in class seedu.address.logic.commands.CommandTestUtil
-
Executes the given command
, confirms that
- a CommandException
is thrown
- the CommandException message matches expectedMessage
- the address book and the filtered person list in the actualModel
remain unchanged
- actualCommandHistory
remains unchanged.
- assertCommandSuccess(Command, Model, CommandHistory, String, Model)
- Static method in class seedu.address.logic.commands.CommandTestUtil
-
Executes the given command
, confirms that
- the result message matches expectedMessage
- the actualModel
matches expectedModel
- the actualCommandHistory
remains unchanged.
- assertListMatching(PersonListPanelHandle, List<Person>)
- Static method in class seedu.address.ui.testutil.GuiTestAssert
-
Asserts that the list in personListPanelHandle
displays the details of
persons
correctly and
in the correct order.
- assertListMatching(PersonListPanelHandle, Person...)
- Static method in class seedu.address.ui.testutil.GuiTestAssert
-
Asserts that the list in personListPanelHandle
displays the details of
persons
correctly and
in the correct order.
- assertListSize(PersonListPanelHandle, int)
- Static method in class seedu.address.ui.testutil.GuiTestAssert
-
Asserts the size of the list in personListPanelHandle
equals to
size
.
- assertParseFailure(Parser, String, String)
- Static method in class seedu.address.logic.parser.CommandParserTestUtil
-
Asserts that the parsing of userInput
by parser
is unsuccessful
and the error message
equals to expectedMessage
.
- assertParseSuccess(Parser, String, Command)
- Static method in class seedu.address.logic.parser.CommandParserTestUtil
-
Asserts that the parsing of userInput
by parser
is successful
and the command created
equals to expectedCommand
.
- assertResultMessage(ResultDisplayHandle, String)
- Static method in class seedu.address.ui.testutil.GuiTestAssert
-
Asserts the message shown in resultDisplayHandle
equals to
expected
.
- assertSelectedCardChanged(Index)
- Method in class systemtests.AddressBookSystemTest
-
Asserts that the browser's url is changed to display the details of the person in the
person list panel at
expectedSelectedCardIndex
, and only the card at expectedSelectedCardIndex
is
selected.
- assertSelectedCardDeselected()
- Method in class systemtests.AddressBookSystemTest
-
Asserts that the previously selected card is now deselected and the browser's url remains
displaying the details
of the previously selected person.
- assertSelectedCardUnchanged()
- Method in class systemtests.AddressBookSystemTest
-
Asserts that the browser's url and the selected card in the person list panel remain
unchanged.
- assertStatusBarUnchanged()
- Method in class systemtests.AddressBookSystemTest
-
Asserts that the entire status bar remains the same.
- assertStatusBarUnchangedExceptSyncStatus()
- Method in class systemtests.AddressBookSystemTest
-
Asserts that only the sync status in the status bar was changed to the timing of
ClockRule#getInjectedClock()
, while the save location remains the same.
- assertThrows(Class<? extends Throwable>, String, Assert.VoidCallable)
- Static method in class seedu.address.testutil.Assert
-
Asserts that the callable
throws the expectedException
and the
expectedMessage
.
- assertThrows(Class<? extends Throwable>, Assert.VoidCallable)
- Static method in class seedu.address.testutil.Assert
-
Asserts that the callable
throws the expected
Exception.
- asUnmodifiableObservableList()
- Method in class seedu.address.model.person.UniquePersonList
-
Returns the backing list as an unmodifiable ObservableList
.
- asUnmodifiableObservableList_modifyList_throwsUnsupportedOperationException()
- Method in class seedu.address.model.person.UniquePersonListTest
-


Silver Jews’ David Berman honoured with US football scoreboard message
The message was displayed at at a Tennessee Titans game in Nashville
The late Silver Jews singer David Berman has been honoured with a scoreboard message during a US football game at Tennessee Titans’ home stadium in Nashville.
Berman, who died in August this year, moved to Nashville in 1999, the same year the Houston Oilers relocated there and became the Tennessee Titans. Berman, the late Silver Jews and Purple Mountains frontman, was a big football fan who referenced the sport in songs like ‘Tennessee’ and ‘All My Happiness Is Gone’ as well as his poetry and interviews.
The Titans were the singer-songwriter’s favourite team, and in the wake of his death, the band honoured him at Sunday’s game against the Kansas City Chiefs.
Drag City, Berman’s longtime label home, shared photo evidence of the tribute on Instagram. See the post below.
At one point during the game, the scoreboard read: “Nashville (and the world) will always love David Berman! 1967-2019.” The Titans’ logo accompanied the message. In the caption, Drag City’s staff wrote that their hearts were “soaring” upon seeing the tribute.
On August 10, The New York Times reported that a spokesperson for NYC’s medical examiner concluded death by suicide in an investigation into the singer’s death.
Silver Jews
Berman’s new band Purple Mountains released their self-titled debut album in July. The band were due to begin their first tour this weekend (August 9). It was Berman’s first new music since the final Silver Jews album ‘Lookout Mountain, Lookout Sea’, which was released in 2008.
Berman had suffered from depression and drug addiction while in Silver Jews. He rarely gave interviews, and only began touring in earnest around Silver Jews’ acclaimed 2005 album ‘Tanglewood Numbers’.


Pet Manager Lundy:
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