ambient.fill_nc_db¶
| Release: | 1.1 |
|---|---|
| Date: | Nov 08, 2017 |
-
ambient.
fill_nc_db
(nc, data, var_symbols, var_units, comments, z_col=0)[source][source]¶ Add data to a netCDF4-classic ambient profile dataset
This function adds data to a netCDF4-classic dataset for a single CTD profile. It is expected that this function could be called multiple times to completely fill in a profile database. As data are added, this method interpolates the new data to match the current z-coordinates if they are already present in the dataset.
Parameters: nc : netCDF4 dataset object
This is the existing netCDF dataset object that will receive the data stored in data.
data : ndarray
Table of data to add to the netCDF database. If it contains more than one variable, the data are assumed to be arranged in columns.
var_symbols : string list
List of string symbol names (e.g., T, S, P, etc.) in the same order as the columns in the data array. For chemical properties, use the key name in the
chemical_properties
database.var_units : string list
List of units associated with each variable in the var_symbols list.
comments : string list
List of comments associated with each variable in the var_symbols list. As a minimum, this list should include the indications ‘measured’ or ‘derived’ or some similar indication of the source of the data.
z_col : integer, default is 0
Column number of the column containing the depth data. The first column is numbered zero.
Returns: nc :
netCDF4.Dataset
objectReturns the updated netCDF4 dataset with the data and metadata included.
Raises: ValueError :
The input data array must always include a column of depths. If the input array contains a single column and the netCDF database already has a depth array, a ValueError is raised since it would appear the user is trying to replace the existing depth data in the netCDF database. If such an action is required, build a new netCDF database from scratch with the correct depth data.
ValueError :
This function checks whether the units supplied by the user in the list var_units match those expected by the database. If not, a ValueError is raised with a message indicating which units are incompatible.
See also
Notes
Symbol names in the
TAMOC
modeling suite are z (depth, positive down from the sea surface), temperature, salinity, pressure, and chemical names from thechemical_properties
database (see./data/ChemData.csv
). Other names will be treated exactly like the chemical names, but will likely either be unused by theTAMOC
modeling suite or generate errors when a different symbol is expected. Hence, it is the responsibility of the user to ensure that all symbol names are correct when this function is called.Examples
>>> ds = Dataset('./test/output/test_ds.nc', 'a') >>> z = ds.variables['z'] >>> zp = np.array([z.valid_min, z.valid_max]) # Depth range >>> yp = np.array([9.15, 5.20]) / 1000 # Synthetic data >>> data = np.vstack((zp, yp)).transpose() >>> ds = fill_nc_db(ds, data, ['z', 'oxygen'], ['m', 'kg/m^3'], ['synthetic', 'synthetic'], z_col=0) >>> print ds.variables.keys() ['time', 'lat', 'lon', 'z', 'temperature', 'salinity', 'pressure', 'S', 'T', 'oxygen'] >>> ds.variables['oxygen'][:].shape # Note interpolation (34,)


See our Github project, and join the discussion list!
Instead of giving people complicated directions, just give them a short code that tells them exactly where you want them to go. No problem, just get the code and give it to them! It won't cost you or them anything.
Many people live in places where street addresses are inaccurate or don't exist. Even where there are addresses, they might not be commonly used, or they might be unknown to online maps or navigation devices.
Google has developed a technology to give everywhere in the world a short code that exactly identifies a place, such as homes and businesses. The codes are free to get, free to use, and we've open sourced the software, so anyone can get it and add it to their website.
You don't need to apply, and there is no setup. The codes are completely free. Just tap the map on the place you want and the code will be shown at the bottom. If the red square is too big, tap on it again to get a more accurate code. If you want to keep it, you can just add it to your bookmarks.
You can even find out the code for your friends or family and tell them what it is.
Just give them the code and tell them to come here to use it!
The codes come in two forms - long and short, just like street addresses. Long codes, like +8FMG.P9FW6M, are like an address that includes the city and country. This will work from anywhere in the world.
The short version of the code (+P9FW6M) is like giving someone only the street name and number. It will work if they're in the right city, but just like a street name, if they're too far away there's a risk they'll go to a street with the right name but in the wrong town. For the short code to work, you need to be at most 50km away from the place. If you're further away than that, you need the full code, or to use the short code and a nearby city, like +P9FW6M Pisa, Italy.
Creating short codes for places is something that lots of people have looked at in different ways. All of them have their advantages and disadvantages, but we felt that it was worth designing a new system that was free, open and easy to use.
Tapping the map or entering a code will change the URL. You can bookmark a place, give it a name, and use it just by opening the page. This will even work if you are offline, except that the map won't be able to load.
For directions, you can tap on the directions icon and a list of map providers will be displayed. A simple compass mode, showing direction and distance, is also included so that you can get directions to a place without a network connection.
Not all devices have compasses built in, and even some that do can't be accessed. The first time you use the compass it will check to see if it works.
Yay! You made it to the bottom of the page! We'd love to get feedback - ideas on how the codes can be used, suggestions for improvements, anything.
We have a discussion list for questions and comments. Anyone can join!
If you're interested in using these codes, or just looking at the software, it's available in our public Github repository.
There is also a document that explains why we feel a new standard is necessary and provides the specification.


Security Handler
Home | Getting Started | API | Elements | Actions | Validators | Handlers | Configuration Options | Advanced Guides | Troubleshooting | About
Table of Contents
1 Security Handler
The security handler provides a mechanism for determining whether or not the client user has access to a particular resource. In particular, it can be used for injecting HTTP Authentication headers, or for being customized to your own app's authentication system, like checking cookies to automatically log in a returning user.
Behavior Functions
init(Config, State)
Initialize the Security Handler. Like the Route Handler, the majority of the work done in the security handler will happen here, or at least will start here.
It's typical to check for headers, cookies, or other settings here, and for possibly loading paths and their required settings.
- Return Value -
{ok, NewState}
finish(Config, State)
Clean up the handler
- Return Value -
{ok, NewState}
Simplest Example - A security handler that lets everything through
The default security handler for Nitrogen is extremely simple and allows all requests through. The text of that handler is here:
-module (default_security_handler). -behaviour (security_handler). -export ([ init/2, finish/2 ]). init(_Config, State) -> % By default, let all requests through. If we wanted to impose % security, then check the page module (via wf:page_module()), % and if the user doesn't have access, then set a new page module and path info, % via wf_context:page_module(Module), wf_context:path_info(PathInfo). {ok, State}. finish(_Config, State) -> {ok, State}.
Cookie-based Authentication Example
As an example, you could automatically log in a user based on a cookie inside
the security handler. This example assumes you'll check an authentication
cookie stored with your login table within a database, providing a db_login
module for interacting with the user table. It assumes the existance of a
db_login:loginid_from_cookie/1
function which takes an a Cookie
and returns
a Loginid
or undefined
.
-module (bracketpal_security_handler). -behaviour (security_handler). -export ([ init/2, finish/2 ]). init(_Config, State) -> attempt_cookie_login(), {ok, State}. finish(_Config, State) -> {ok, State}. %% PRIVATE FUNCTIONS %% %% First, let's check to see if we've already tried to log in this user using %% cookies. If we have, then we don't want to keep trying, and hitting the %% database every time we load a page when we already know that it won't %% authenticate attempt_cookie_login() -> attempt_cookie_login(session). attempt_cookie_login(session) -> %% Have we already attempted a cookie login? %% If so, then skip it %% If not, let's try to authenticate with the cookie case wf:session_default(cookie_login_attempted,false) of false -> attempt_cookie_login(cookie); _ -> do_nothing end; attempt_cookie_login(cookie) -> %% Let's read the authentication token from our "quicklogin" cookie case wf:cookie(quicklogin) of undefined -> %% The cookie is undefined, so obviously there's nothing to log in do_nothing; Cookie -> %% Let's check our database to see if we have a user that's %% associated with our authentication cookie case db_login:loginid_from_cookie(Cookie) of undefined -> %% No user associated with that token, so let's just do nothing do_nothing; Loginid -> %% Yes! We have a login associated with that cookie, so let's %% Set use the Nitrogen user handler to set the loginid wf:user(Loginid) end, %% Finally, we've now attempted to do a cookie login, so let's set %% a session variable so we don't try doing the cookie login again %% for this session wf:session(cookie_login_attempted,true) end.
An HTTP Auth Example
Nitrogen also provides a simple HTTP Auth security handler for those interested in employing some HTTP auth-type user verification (courtesy of Torbjorn Tornkvist).
The full text of this can be viewed on Github


SceneNavi Update Page
Current Version
SceneNavi v1.0 Beta 10a
Source code on GitHub
Release Notes
v1.0 Beta 10a ("It Might Be Dead")
v1.0 Beta 10 ("Device Not Ready")
- Preliminary support for Majora's Mask
- Various other changes
v1.0 Beta 9b ("Hotfix Redux?")
- Fixed generated GLSL shader code somewhat; should fix float conversion error during shader compilation
- Changed combiner emulation initialization; should now only try to initialize a combiner type when selected by user, not all on every startup
v1.0 Beta 9a ("My First Hotfix")
- Added additional sanity checks to prevent potential EntryPointNotFoundException and NullReferenceException, especially on lower-end hardware
- Changed versioning code to allow for hotfixes
v1.0 Beta 9 ("You've Got Shaders In My Fixed Functions!")
- Added new GLSL-based combiner emulation, still missing certain rendering details (ex. automatic texture-coordinate generation for reflections)
- Added support for anti-aliasing and mipmapping in renderer; can be toggled from menu
- Changed application configuration to use Nini library instead of .NET Properties.Settings
- Fixed various bugs; combiner inaccuracies, display list caching, Scene TreeView generation, mesh header types, etc.
- Added experimental help system, displays help string in status bar when hovering over menu items; still needs work
- Various other OpenGL-related changes and additions (ex. extension checks)
- Various minor GUI changes (ex. status bar appearance, Options menu arrangement)
v1.0 Beta 8 ("Fresh Water Laced With Bugfixes")
- Added waterbox support; allows changing of waterbox position, size, room number and other properties
- Added saving support for individual scene and room files; still requires a ROM to be loaded beforehand, but saves changes to the separate files
- Fixed loading of individual scene and room files; the changes to the treeview in Beta 7 broke header selection
- Fixed SFX and reverb options under Scene Metadata being disabled; slight GUI changes broke this feature
- Fixed ROM information window cutting off text prematurely if null byte is encountered in the ROM header's game title or ID
- Fixed and improved the actor editing GUI and underlying actor definition reader code slightly
- Fixed actor rotation rendering; the order in which rotation was applied during drawing was wrong before
- Added additional sanity checks to prevent unfixed "Stalfos Middle Room" (#120, syotes) from causing an exception on selecting its room
- Improved update and version checking functionality; now displays release notes from remote RTF file
- Added (temporary) program icon
v1.0 Beta 7 ("It's Not Dead!")
- Fixed conversion of I4 and I8 type textures; finally fixes missing alpha channels on ex. Hyrule Field pathways, certain cobwebs, etc.
- Added support for custom maps generated by Hylian Toolbox; problem was related to polygon type definition offsets
- Changed scene and room selection tree; headers now condensed into stages, similar to Map Select screen
- Area title card can now be exported for editing and reimported
- Added stubs for a few other features (ex. loading and editing of environment settings); not fully implemented yet
v1.0 Beta 6
- Finally added Scene Metadata tab, so far contains a few sound-related settings (daytime BGM, nighttime SFX, reverb); more settings to come
- Actor definition format changed; actor number now part of definition, definition can be set as default for certain actor types unless overridden by specific definition
- Changes to transition actor handling; added drop-down lists for rooms to transition actor editing, renamed some options for clarity
- Actor definitions now also support the properties "DisplayModel", "PickModel" and "FrontOffset", which are currently used mainly with transition actors (documentation forthcoming)
- Added mouse-based selection of rooms in static objects mode; only works when collision rendering is disabled; selects collision polygons as usual when enabled
- Added mouse-based selection of room model triangles and vertices; allows editing of vertex colors and alpha
- Fixes to Ucode interpreter to not reset certain parameters on display list calls (DL, BRANCH_Z); fixes missing textures on ex. Death Mountain
- Added texture loading macro workaround to Ucode interpreter, now also tries to load textures on SetCombine command; fixes a few missing textures, ex. walls in Water Temple's first room
- Fixes to texture loading macro implementation, potentially did not correctly apply palettes to CI-type textures; fixes incorrect textures on certain custom maps
- Fixed offset detection error with polygon type definitions on some custom maps; now correctly loads polygon types
- Removed some unnecessary OpenGL function calls; gives notable FPS increase in many cases, such as certain temples
- Added more fallbacks for lower-end hardware, added detection of Intel graphics hardware to disable combiner emulation regardless of the hardware's reported capabilities
- Fixed room display list caching; now no longer re-renders rooms on every scene change, even if a room has been cached before with the same settings (i.e. textures en-/disabled)
- Some refactoring to the program's internal data storage (i.e. which scene header is active and what it contains, which room header is active, etc)
- A few object picking bugfixes; ex. some erratic behavior when selecting things via middle-click
- More status messages, ex. for ROM loading and saving
- Rearranged Options menu
v1.0 Beta 5
- Texturing support and faking of PrimColor-based colorization for lower-end hardware
- Some bugfixes (glClearDepthf entry point, Control key IndexOutOfRangeException)
v1.0 Beta 4
- Changed mouse behavior to have three different modes:
• Camera mode: Camera movement only
• Moveable objects mode: Select and move things considered "moveable" by the program (actors, waypoints)
• Static objects mode: Select immobile, static things (collision polygons)
Modes can be selected via menu or can be cycled through by clicking the mode label on the status bar
- Implemented mouse-based actor and waypoint movement:
• Left click: move object left, right, up and down (or X and Y axes with neutral camera)
• Middle click OR left click and Ctrl key: move object forward or backward (or Z axis with neutral camera)
• Right click: opens context menu that allows rotating the object in both directions on any supported axis
- Limited collision editing enabled; collision polygons' polygon type association, and polygon types' ground type and raw 64-bit definition can be edited
(more separate options for ex. exit triggers, damage, etc. to come)
- Added preliminary support for editing of individual scene and room files
• Note: does not yet support saving, highly WIP
- Improved overall collision overlay performance
• Might incur slight stuttering when rapid changes are done to the collision, such as changing a polygon's ground type
- Added ROM byte order detection and automatic byteswapping functions
• If an incompatible byte order is detected, the program will ask if the user wants the ROM to be converted or, if the user does not want this, cancel loading
- Added update checking functionality, can be manually accessed via the menu
• Checks online for newer version of the program and can direct the user to a download if one is found
- Actual functionality for the window's status bar implemented; now shown are:
• Current mouse mode
• Information about the currently loaded scene and room and/or general status messages
• Current camera coordinates
- Added VSync option for FPS limiting, can be toggled from the menu
- Improved OpenGL-side housekeeping functions for GL extensions, texturing and combiner emulation
• Should hopefully improve usability with lower end graphics cards
v1.0 Beta 3
- Support for ROMs with z64tables hack
- ROM loader error handling changed; now allows access to exception details for reporting
- Human-readable actor names now read from ActorNames.xml instead of individual actor definitions
- XML data files rearranged; removed AddressTranslations.xml and address translator class, added more versatile hashtable reader class, also used by actor names
- Object names are now version-independant, using the hashtable reader class mentioned above
- Added collsion rendering with two different highlighting modes (all white, or approximately by ground type)
- Actor definitions changed to use hexadecimal values for rotation
v1.0 Beta 2
- Some renderer bugfixes and improvements; blending error fixed, Texgen support added
- Added path waypoint support; waypoints can be edited and saved, their rendering, and them being linked by lines, can toggled from the menu
- Changed the tab order according to your suggestions (new Scene Metadata tab is still empty and hidden)
- Fixed - or rather worked around - a bug with multi-header scenes; caused room actor changes to not be saved, unless they were done from the last scene header
- New actor definition for the Kakariko carpenters
- Texturing and combiner emulation can now be toggled from the menu
v1.0 Beta 1
- Improved Ucode interpreter and renderer (texturing, color combiner)
- Room objects and special scene objects editing
- Now scans for and reads more data tables (actor, object and exit tables)
- Data table editing (exit and scene tables, within limits)
- Improved address translation support (now works for scene, room and object names)
- More XML actor definitions and address translations
- Preliminary mouse-based actor editing (so far only selecting actors via right-click)
v0.9 WIP
SceneNavi - written 2013-2015 by xdaniel / http://magicstone.de/dzd/


July 9, 2021
HTML & CSS & Javascript?
Let’s imagine that our HTML is a house. It’s been built to have all the rooms we need. However, it is really bland. Sure, we could live in it, but it won’t be comfortable or pretty to look at.
This is where CSS steps in. It adds flair to our house with some new paint and lets us rearrange or replace our furniture! It makes it easier for us to live in and our guests won’t run for the hills on arrival.
So what does Javascript do here? We can imagine them as future plans for the house. It might include moving or changing the look of furniture or wallpapers. It could even be renovations to add, remove, combine and shuffle rooms around!
Loops & Control Flow?
Let’s eat some grapes.
We’ve got a bunch and we start to pick at it. Our loop begins here! We will continue to eat these grapes until there are none left.
So our example loop will look something like this:
// This is pseudo code, not actual code! while (grape > 0) { eat grape; }
But wait! What if we encounter a grotty grape that oozes its insides out at the slightest touch? We don’t want to eat that! Let's edit our control flow to reflect this:
// This is pseudo code, not actual code! while (grape > 0) { if (grape-quality == acceptable) { eat grape; } else { scowl-at-grape; delete-grape-from-existence; } }
Cool! Once we eat or throw out all our grapes, we are free to carry on and do something else!
The DOM?
It’s essentially a map! It tells us where places are, how to get there, what the area contains and what it looks like.
Not only that, the map is magic!  If you colour it pink, voilà! It’s now a pink hill!
 Engulf it completely? Welcome to the - void -.
-
But really, the DOM stands for Document Object Model. It allows us to inspect the web page and visualize what the heck the HTML and CSS code is doing.
On top of that, the DOM allows us to change the code and see it take effect immediately. Reloading will reset it though! (It’d be absolute chaos if everybody could edit any page haha)
We can use JavaScript functions like loops, to select and iterate through our elements, changing anything we want, however we like.
Arrays and Objects?
We can imagine the arrays like an organized toolbox where the screwdrivers are arranged from biggest to smallest.
In code, it looks something like this:
var toolbox = [ "screwdriverLargest", "screwdriverLarge", "screwdriverNormal", "screwdriverSmall", "screwdriverSmallest" ];
If we specifically needed the second largest one, we would know to grab the second one from the left with : toolbox[1].
We use [1] for the second item because arrays are zero-indexed (starts counting at 0).
Objects on the other hand… They are like a toolbox that contains pretty much everything you need, but it’s a complete mess.
They look like this:
var toolbox = { “drillKey”: “drill”, “pliersKey”: “pliers”, “screwdriverKey”: “screwdriver”, “scissorsKey”: “scissors”, “knifeKey”: “sword” };
Need a screwdriver? You know it’s in there. You hesitate as you think of all the pointy things that could stab you in there, but you need it. You stick your hand in there to dig and rummage aroun- oh nevermind, it’s right here! How handy!
Here, toolbox[“screwdriverKey”] will give us the “screwdriver” item.
In other words...

Items in arrays are ordered (though not necessarily sorted). When you retrieve something from an array, you have to refer specifically to the placement of that item in that order.
Items contained in objects are labelled with a 'key' that contains a value. When we need a value of something inside the object, we just need to give it a 'key' and it will spit it out for us.
Functions?
What’s a decent analogy for this? I’m in the mood for toast as I’m writing this, so let’s use toast and toasters!
Let's say I happen to have two imaginary pieces of bread with me. One is fresh and one is frozen. I could toast one slice, throw away the toaster, buy a new one, and then toast the second piece... That would work but it’d be horribly impractical and expensive! So instead, I’m going to use the same toaster, but set the timer to be slightly longer for my frozen piece.
In code, it might be something like this:
// This is pseudo code, not actual code! function toastBread (toastingTime) { insert-slice; toast-this-slice-for (toastingTime); pop-slice-up; return toast; } // calling the function to run toastBread (fresh-toastingTime); toastBread (frozen-toastingTime);
toastingTime is the parameter in the function. So calling that same function with a fresh-toastingTime and a frozen-toastingTime as the arguments for each of my slices should return two, equally burnt pieces of toast... -_-'
Functions are great for efficiency and writing cleaner code. We’ll often be needing to run the same (or similar) sections of code over and over. Instead of copying and pasting that code and making slight changes each time, we can make a function containing that bit of code only once. We can substitute the values we need to tweak as variables known as parameters, in the function. Once that is done, whenever we need to use our function, we call it and plug in the parameters with new values, known as arguments.
Thanks for reading!


\begin{trivlist} \item First item .... \end{trivlist}
This is ike the List Environment, but uses the currently defined values of list-making parameters. It is normally used to define an environment with a single item, with an \item command as part of the environment definition.
See Lists,
List Environment,
Environments
Back to the Table of Contents


Nats leader warns vegan activists of further punishment
by Matt CoughlanDeputy Prime Minister Michael McCormack has raised the prospect of further punishment for a radical vegan activist group stripped of charity status.
Aussie Farms drew scorn from the Coalition government after publishing an online map with farmers details in a bid to expose animal cruelty.
The Australian Charities and Not-for-profits Commission revoked its charity status after an investigation but is not releasing the findings, citing privacy laws.
Mr McCormack said if Aussie Farms continued to incite activists to storm farms, a further crackdown could be needed.
“If these people look at ways and means of creating activism that is going to see people invading farms then yes, we might need to go a bit further and tougher,” the Nationals leader told reporters on Tuesday.
In a statement, Aussie Farms said losing charity status would only mean it would have to pay tax on unspent fundraising at the end of each financial year.
“We remain a non-profit animal protection organisation dedicated to exposing and ending systemic animal cruelty,” the group said.
Aussie Farms believes the ACNC decision is related to releasing footage of an illegal slaughterhouse in south-east Melbourne and shooting of baby male goats on a farm.
The group accused the charities regulator of “clear bias” in favour of industry, but is unlikely to appeal the decision because it would be futile.
“At this stage we are calling for an external review of the ACNC’s ability to perform its role independently as it ought to do, and must now consider whether to pursue legal action for gross misuse of the ACNC Act.”
Mr McCormack said the government had taken a strong step by referring Aussie Farms to the watchdog.
“We don’t want people to invade people’s property and to let animals run free and create mischief,” he said.
“That’s what these people were doing and that’s why they needed to be stopped.”
He said farmers and agricultural workers needed to work in the safe environment they were used to.
“We don’t want this activism – illegal activism – affecting the lives and livelihoods of those people who are trying to grow the food and trying to grow the fibre for domestic uses and overseas.”
Earlier in the year, the federal government passed laws to create offences for inciting farm invasions.
-AAP


Master Cardien:
There are laws even in teaching! The fighters guild of Dion does not teach its skills to just anyone. You must find a guild that suits you.


THE PROFESSIONAL A film review by Scott Renshaw Copyright 1994 Scott Renshaw
Starring: Jean Reno, Natalie Portman, Gary Oldman, Danny Aiello. Screenplay/Director: Luc Besson.
I wonder if budget is at all a criterion for whether or not a movie can be considered an exploitation flick. Take THE PROFESSIONAL, for example. It boasts extremely glossy cinematography, a couple of recognizable name actors, and a couple of fairly impressive explosions. It's also basically about violence and cheap titilation, and features a central relationship between a middle-aged man and a twelve-year-old girl with a decidedly ambiguous sexual dimension. THE PROFESSIONAL is all over the map, and its pretensions of being about anything more than its most unpleasant elements simply make it all the more unpleasant.
THE PROFESSIONAL of the title is a New York hit man named Leon (Jean Reno), brutally efficient but also very isolated. One day he is forced to let someone into his life when a girl from his apartment building knocks on his door. Her name is Matilda (Natalie Portman), and the rest of her family has just been killed by crooked and very wired D.E.A. agent Norman Stansfield (Gary Oldman) after Matilda's father tried to rip him off. Leon reluctantly takes Matilda in, then begins to teach her his profession when she says that she wants to avenge the murder of her young brother. The two become closer, which makes them all the more vulnerable when Stansfield learns that they know too much, and sets out to eliminate them both.
Writer/director Luc Besson has gone this route before with his popular French import LA FEMME NIKITA, a slick potboiler about a female assassin. There is no question that Besson can make a great *looking* film; with the assistance of cinematographer Thierry Arbogast, he has created a film chock full of moody close-ups and evocative lighting. But beneath the shiny wrapper, there isn't nearly as much going on as Besson would like us to believe. The relationship between Leon and Matilda never clicks because neither one is given a character to develop. Leon is mostly a collection of quirky traits, all intended to show us that for a hired killer, he's really not so bad a guy: he drinks lots of milk, takes meticulous care of a potted plant, and enjoys Gene Kelly movies. Jean Reno succeeds at giving Leon a haunted and desperate quality, but he never makes an emotional connection to Matilda. Natalie Portman is all wrong for a part that called for a much grittier quality, but she doesn't have too much to work with, either.
Besson would have been better served spending more time trying to bring his characters to life, and less on feeble attempts at humor which are often embarrassing. A silly game between Leon and Matilda involving celebrity impersonations is completely out of place, as is a scene where Matilda shocks a hotel manager by announcing that Leon is her lover; character is thoroughly sacrificed for a cheap gag. Gary Oldman's entire part is something of a cheap gag, wild-eyed and way over the top, but at least he is interesting to watch. There isn't a real person to be found anywhere in THE PROFESSIONAL, which isn't always a problem in an action thriller, except that this one is trying to pass itself off as something more.
A more disconcerting problem with THE PROFESSIONAL is that it plays around with the sexuality of a twelve-year-old in a really distasteful way. There were only two real choices for dealing with that component of Leon and Matilda's relationship: confront it head on, or ignore it entirely. But Besson flirts and teases the audience with the idea that he's going to show them a forbidden love story, while choosing simply to focus his camera on Portman's rear end and dress her in skimpy clothing. This is to say nothing of the questionable decision to make it look like quality paternal time when Leon is teaching a child to load a 9mm pistol, or the blood which is spilled aplenty. A great deal of the time, THE PROFESSIONAL is just plain sleazy, and all the soft filters in the world can't disguise that fact.
On the Renshaw scale of 0 to 10 professionals: 3.
-- Scott Renshaw Stanford University Office of the General Counsel
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


This package contains all required classes to export an UVM register model to IP-XACT You can read more about IP-XACT here
here


--- layout: post title: drawn with harmony date: '2017-03-15T10:30:30+01:00' categories: - Sketches picture_url: https://film-Storyboards.tumblr.com/post/158437609940/drawn-with-harmony ---
Drawn with Harmony.


Files CCore/inc/Abort.h CCore/src/AbortMsgFunc.cpp HCore/src/Abort.cpp XCore/src/Abort.cpp
There are two functions to abort a program execution with a diagnostic message:
void Abort(StrLen str); void Abort(const char *zstr);
First of them accepts a message text as a StrLen argument, second — as a zero-terminated character string. The exact method of the sending a diagnostic message is target-dependent and implemented differently for HCore and XCore targets.
There is also the global constant function pointer, which can be used to alter the Abort() behavior.
/* types */ using AbortMsgFuncType = void (*)(StrLen str) ; /* global const AbortMsgFunc */ extern const AbortMsgFuncType AbortMsgFunc;
You may link an object file in your project with this constant defined to introduce a hook in Abort(). Be reasonable with hook actions: on XCore targets it may be called in any context, so you cannot do any "heavy" job inside. The same is true on HCore targets: use it just to show or log a message (using MessageBox(), for example).


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Adam's 2016 in review
I love these end of year posts. When you're in the
thick of a project, it can be hard to see the
forest for the trees, but when you stop, reflect,
and look back... it's a beautiful landscape.
That's what this year has been like.
Celebrity deaths, the US election, the
SSW reno… phew. This year
has had it all.
SSW TV
It has been thrilling and astounding to watch the
growth of
SSW TV. At
the end of SSW TV's first year, we had
50,000 views. In our fifth year, we're now at more
than 20 times that. How far we've come!
Each year I've watched the growth, and have
blogged about it. As I wrote in
last year's review post, at the end of
2015 we were at just under 1
million views. This year, we're at 1.5 million.
Keep reading to find out what Adam and the
SSW
team got up to in 2016.
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Featured video from ssw tv
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VIDEO: Techniques and practices for testing
Angular 2 | Identity Server 4 with Angular 2
ASP.NET core
Two sessions in one! First up, join Duncan
Hunter and Adam Stephensen as they take us
through
Techniques and practices for testing
Angular 2. From unit testing components and services
to end-to-end testing your entire
application, they will give you tips and
techniques for testing in Angular 2.
In the second session, Ben Cull will go
through
Identity Server 4 with Angular 2 ASP.NET
core. He shows us how to secure an API website
while still allowing you to expose your API
to third party developers.

Workshop includes two days tuition
with an experienced Angular 2
developer, full course material which
will be updated as Angular 2 is
updated, full source code for the
three apps you will build for later
reference and to be used as best
practice, and three months
subscription to the FirebootCamp
Angular 2 Slack channel.
Read more
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With the release of Angular 2, there's even
more to learn and love. Angular Hack Days are
free events for beginner and pros alike to
come and share the thrill of creating
something beautiful in a supportive and
friendly environment.
Read More
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MAR
25
Sat
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Melbourne, Australia
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APR
8
Sat
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Sydney, Australia
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Xamarin Hack Days are free events that make it
easy for anyone to learn cross-platform
development using Xamarin, a product that
allows you to use .NET/C# to create native
apps that will run across Android, iOS, and
Windows.
Read More
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MAR
18
Sat
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Sydney, Australia
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SEP
23
Sat
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Brisbane, Australia
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NOV
25
Sat
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Melbourne, Australia
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January User Group - Sydney
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Migrating from TFS to the cloud... without
losing your mind – Danijel Malik
Are you tired of upgrading and maintaining
your on-premise TFS and just want to use the
VSTS portal instead?
Is your New Years Resolution to move to VSTS
... but you don't know how to do it?
Is your TFS server the only server in the
office that you haven't moved to the cloud?
Are you worried about losing your TFS
history when you move to VSTS?
If your answer is "Yes" to any of these
questions, then this is the session for you.
Danijel will save you days of headaches and
research by explaining what options you have
at your disposal and the issues you will
have to deal with before you can put this to
bed.
|
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About the presenter
Danijel is a DevOps mastermind with a
broad range of technical skills and a
deep desire to understand the client's
business first. In his career, which
includes more than 10 years of
professional experience, he has built
Desktop, Mobile & Web projects, many
of them at the Enterprise level. With
an eye on the bleeding edge
technologies, he is always one step
ahead and loves sharing his experience
at user groups and conferences. In
2013, Danijel was awarded Microsoft
MVP status for Visual Studio ALM (now
Visual Studio and Development
Technologies) for his contributions to
the community, which he has maintained
every year since.
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Jan
18
Wed
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SSW Sydney
Gateway Court Suite 15
81-91 Military Road, Neutral Bay
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SSW and Octopus Deploy invite you
to join us for pizza! It's a fun
and delicious opportunity for
networking with peers and sharing
thoughts after the Sydney .NET
User Group.
Read More
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Jan
18
Wed
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SSW Sydney
Gateway Court Suite 15
81-91 Military Road, Neutral
Bay
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Sydney .NET User Group and
NerdDinner proudly sponsored by:
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January User Group - Canberra
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Migrating from TFS to the cloud... without
losing your mind – Danijel Malik
Are you tired of upgrading and maintaining
your on-premise TFS and just want to use the
VSTS portal instead?
Is your New Years Resolution to move to VSTS
... but you don't know how to do it?
Is your TFS server the only server in the
office that you haven't moved to the cloud?
Are you worried about losing your TFS
history when you move to VSTS?
If your answer is "Yes" to any of these
questions, then this is the session for you.
Danijel will save you days of headaches and
research by explaining what options you have
at your disposal and the issues you will
have to deal with before you can put this to
bed.
|
|
|
About the presenter
Danijel is a DevOps mastermind with a
broad range of technical skills and a
deep desire to understand the client's
business first. In his career, which
includes more than 10 years of
professional experience, he has built
Desktop, Mobile & Web projects, many
of them at the Enterprise level. With
an eye on the bleeding edge
technologies, he is always one step
ahead and loves sharing his experience
at user groups and conferences. In
2013, Danijel was awarded Microsoft
MVP status for Visual Studio ALM (now
Visual Studio and Development
Technologies) for his contributions to
the community, which he has maintained
every year since.
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Jan
16
Mon
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Microsoft Canberra
Branch
Level 4, 6 National Circuit
Canberra
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Logic and distributed automata
12 May 2017Hi everyone,
today I’d like to give a glimpse of the PhD seminar Fabian Reiter gave fairly recently. It is about the paper Asynchronous Distributed Automata: A Characterization of the Modal Mu-Fragment (arxiv version). Between the seminar and today, the paper has been accepted at ICALP 2017, so if you are at Warsaw in mid-July, you can hear about this directly from him! For any comment on this post: feuilloley [at] irif.fr.
Actually I will not talk about this paper in particular, as I am far from being an expert, but I would like to give a feeling of the topic, from the point of view of an outsider.
Automata and logic are usually taught in different courses, and may be thought as unrelated subjects by those who are not working in these domains. It is far from being the case, and there are strong connexions between the two topics. One area of TCS for which these connexions are essential is model checking. In this domain, one would like to check if some structure satisfies some property, expressed as a logical formula. In this case, a common technique is to translate the formula into an automaton. Then one can, for example, compute some product of the structure with the automaton, and the checking boils down to a reachability problem.
To give an intuition of the logic we are talking about, let’s consider the case of words over the alphabet {$a,b$}. It is easier to consider a word as a directed path, for example the word $aabab$ is represented by the following path.
A property one would like to express is, for example, ‘‘there are no two consecutive $b$’’ in the word. To do so the logic has three predicates, $\rightarrow$, $a()$ and $b()$. Given two variables $x$ and $y$ that indicate positions in the path, $x \rightarrow y$ means that $y$ is the position just after $x$ in the word. If the letter at position $x$ is $a$ (resp. $b$), then $a(x)$ (resp. $b(x)$) holds. Then the ‘‘not-2-b’’ property can be expressed as:
This a basically first-order logic, with the predicates suited to talk about words. Note that quantifiers “talk about” single nodes. If in addition we add quantification over sets of nodes, we get monadic second-order (MSO) logic on words. And here comes the magic: the properties of words that are expressible with MSO are precisely the ones that corresponds to regular languages, that is languages recognized by finite automata.
This all goes back to the 60s, and then a lot of work has been done to create bridges between special kinds of logic and types of languages. An important example is the work on trees with tree automata. What Fabian and a few others are interested in, is the case of graphs.
There are several kinds of logic that can be considered on graphs, and I will not dive into it. Instead I will focus on the other side: the automaton. It is not clear what adaptation of a finite automaton is the most relevant for graphs, and several such tool have been proposed. The approach of Fabian and others is to consider distributed graph automaton. The word distributed comes from the fact that instead of having one machine considering the parts of the graph in some order, as one would do to generalize results on words and trees, here each node of the graph is equipped with an automaton. These automata take steps, and at each step they take into account their state, and the states of their neighbours, and update their own state.1
The information available from the neighbours, the synchrony or not of the automata, the termination criterion, and the non-determinism allowed have a great influence on the corresponding logic. A previous paper of Fabian2 described a model of synchronized distributed graph automata that corresponds to the MSO logic on graphs. The current paper considers asynchronous automata, and links it with a fragment of the modal $\mu$-calculus.
For more on the topic, I let you read Fabian’s papers!
-
For those of you who have met the LOCAL model at some point, this must sound very familiar as it is basically the same state of mind as the locality-oriented distributed computing. ↩
-
The paper Distributed Graph Automata (arxiv version). The slides are also available here. ↩


NSDate(SDExtensions) Category Reference
| Declared in | NSDate+SDExtensions.h |
Tasks
-
+ dateFromISO8601String:
Creates an NSDate from a given ISO 8601 string date of the format
yyyy-MM-dd'T'HH:mm:ss'Z'
. -
+ dateFromRFC822String:
Creates an NSDate from a given RFC 822 string date of the format
yyyy-MM-dd'T'HH:mm:ssZZZ
. -
– happenedMoreThanNSecondsAgo:
Returns
YES
if the date represented by the receiver occurred more thannumSeconds
seconds ago. ReturnsNO
otherwise. -
– happenedMoreThanNMinutesAgo:
Returns
YES
if the date represented by the receiver occurred more thannumMinutes
minutes ago. ReturnsNO
otherwise. -
– happenedMoreThanNHoursAgo:
Returns
YES
if the date represented by the receiver occurred more thannumHours
hours ago. ReturnsNO
otherwise. -
– happenedMoreThanNDaysAgo:
Returns
YES
if the date represented by the receiver occurred more thannumDays
days ago. ReturnsNO
otherwise. -
– happenedLessThanNSecondsAgo:
Returns
YES
if the date represented by the receiver occurred less thannumSeconds
seconds ago. ReturnsNO
otherwise. -
– happenedLessThanNMinutesAgo:
Returns
YES
if the date represented by the receiver occurred less thannumMinutes
minutes ago. ReturnsNO
otherwise. -
– happenedLessThanNHoursAgo:
Returns
YES
if the date represented by the receiver occurred less thannumHours
hours ago. ReturnsNO
otherwise. -
– happenedLessThanNDaysAgo:
Returns
YES
if the date represented by the receiver occurred less thannumDays
days ago. ReturnsNO
otherwise.
Class Methods
Instance Methods
happenedLessThanNDaysAgo:
Returns YES
if the date represented by the receiver occurred less than numDays
days ago. Returns NO
otherwise.
- (BOOL)happenedLessThanNDaysAgo:(int)numDays
Declared In
NSDate+SDExtensions.h
happenedLessThanNHoursAgo:
Returns YES
if the date represented by the receiver occurred less than numHours
hours ago. Returns NO
otherwise.
- (BOOL)happenedLessThanNHoursAgo:(int)numHours
Declared In
NSDate+SDExtensions.h
happenedLessThanNMinutesAgo:
Returns YES
if the date represented by the receiver occurred less than numMinutes
minutes ago. Returns NO
otherwise.
- (BOOL)happenedLessThanNMinutesAgo:(int)numMinutes
Declared In
NSDate+SDExtensions.h
happenedLessThanNSecondsAgo:
Returns YES
if the date represented by the receiver occurred less than numSeconds
seconds ago. Returns NO
otherwise.
- (BOOL)happenedLessThanNSecondsAgo:(int)numSeconds
Declared In
NSDate+SDExtensions.h
happenedMoreThanNDaysAgo:
Returns YES
if the date represented by the receiver occurred more than numDays
days ago. Returns NO
otherwise.
- (BOOL)happenedMoreThanNDaysAgo:(int)numDays
Declared In
NSDate+SDExtensions.h
happenedMoreThanNHoursAgo:
Returns YES
if the date represented by the receiver occurred more than numHours
hours ago. Returns NO
otherwise.
- (BOOL)happenedMoreThanNHoursAgo:(int)numHours
Declared In
NSDate+SDExtensions.h


--- redirect_from: /docs/1.0.0-alpha.5/classes/state.state-1.html ---
Returns a dot-separated name of the state.
Can be one of (a) a State
instance, (b) an object that was passed
into $stateProvider.state()
, (c) the fully-qualified name of a state as a string.
Returns true
if ref
matches the current State
instance.
The root of this state's tree.
Generated using TypeDoc
object
ui.router.state.type:State
Definition object for states. Includes methods for manipulating the state heirarchy.
A configuration object hash that includes the results of user-supplied values, as well as values from
StateBuilder
.Returns a new
State
object.


SelectedFontStyle()
Syntax
Style = SelectedFontStyle()Description
Returns the style of the font chosen by the user with the FontRequester().
Parameters
None.
Return value
The style of the font chosen by the user with the FontRequester(). It can contain one or several of the following values:#PB_Font_Bold : Font is bold. #PB_Font_Italic: Font is italic.To test if a value is present, use the '&' (bitwise AND) operator:If SelectedFontStyle() & #PB_Font_Bold ; The font is bold EndIf
See Also
FontRequester()
Supported OS
All


David Brown
Index
Portfolio
Contact
Contact
All enquiries: - please send me a message and I will reply promptly.
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Send


黒の手番です。42 はどう動かしますか？


Lists, located on the Admin > Advanced Settings > Lists page, displays the that enables Administrators to maintain lists of information that can be identified by a key value and a data value. A related copy of the Lists module is also available on the Host > Advanced Settings > Lists page.
Admin List can access entries from Host List page, but Host List cannot access Admin List. The Host List stores site-wide Lists, such as Country, State, Region. Administrators can add new entries to lists maintained on the Host List menu as well as create new lists.
The List module is based around Lists and Entries, which are in effect the same, but their usage defines their differences:
Note: Each Entry can also be a list. An example of this is the regions list used in DNN. In this case the Country, which is an entry under the Countries List, can be its own list and have region entries associated with it.
The Admin Lists page


HTML uses form elements with sub input, label, textarea, select and option elements. This form is formatted using a table element. Submitting a form will POST the information to another part of the application.


Interactive Graphics & Engineering Lab
Interactive Graphics & Engineering Lab
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1
Exploring Generative 3D Shapes Using Autoencoder Networks
We propose a new algorithm for converting unstructured triangle meshes into ones with a consistent topology for machine learning …
Nobuyuki Umetani
PDF
Dataset
ACM Digital Library
YouTube Video
OmniAD: Data-driven Omni-directional Aerodynamics
This paper introduces “OmniAD,” a novel data-driven pipeline to model and acquire the aerodynamics of three-dimensional …
Tobias Martin
,
Nobuyuki Umetani
,
Bernd Bickel
PDF
Video
ACM Digital Library
YouTube Video
Slide
Position-based Elastic Rod
We present a novel method to simulate complex bending and twisting of elastic rods. Elastic rods are commonly simulated using force …
Nobuyuki Umetani
,
Ryan Schmidt
,
Jos Stam
PDF
Video
ACM Digital Library
YouTube Video
Cross-sectional Structural Analysis for 3D Printing Optimization
We propose a novel cross-sectional structural analysis technique that efficiently detects critical stress inside a 3D object. We slice …
Nobuyuki Umetani
,
Ryan Schmidt
PDF
ACM Digital Library
YouTube Video
Real-Time Example-Based Elastic Deformation
We present an example-based elastic deformation method that runs in real time. Example-based elastic deformation was originally …
Yuki Koyama
,
Kenshi Takayama
,
Nobuyuki Umetani
,
Takeo Igarashi
ACM Digital Library
YouTube Video
Project Page
Sketch-based Dynamic Illustration of Fluid Systems
This paper presents a lightweight sketching system that enables interactive illustration of complex fluid systems. Users can sketch on …
Bo Zhu
,
Michiaki Iwata
,
Ryo Haraguchi
,
Takashi Ashihara
,
Nobuyuki Umetani
,
Takeo Igarashi
,
Kazuo Nakazawa
PDF
Project Page
ACM Digital Library
YouTube Video
A Responsive Finite Element Method to Aid Interactive Geometric Modeling
Current computer-aided engineering systems use numerical-simulation methods mainly as offline verification tools to reject designs that …
Nobuyuki Umetani
,
Kenshi Takayama
,
Jun Mitani
,
Takeo Igarashi
Video
ACM Digital Library
YouTube Video
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Cite
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Couple wed at 34,000ft in front of stunned passengers after bonding over planes
David Valliant and Cathy Rolfe met through an online aviation game called Aviation City - and themed their whole wedding around their love of planes
by Abigail O'LearyA couple got married at 34,000ft in front of stunned plane passengers after bonding over their love of aircraft.
David Valliant and Cathy Rolfe met through an online aviation game called Aviation City eight years ago and immediately hit it off.
They had their first date at Sydney Airport and fell in love as soon as they locked eyes.
After years of dating, the New Zealand couple struggled to find a venue for their wedding - before deciding to stick with the theme of their love story and exchange vows in the air.
They eventually got married on board a Jetstar flight JQ201, travelling between their home cities Sydney and Auckland on October 9.
Cathy walked down the aisle in a stunning white dress as David waited at the front of the plane.
Airline staff rallied behind the couple to bring their special day forward after Cathy secretly contacted Jetstar with a special request to get married on a flight between their two countries.
Cathy said: "I thought, I'll be cheeky and ask Jetstar. Without telling Dave, I posted on Jetstar's Facebook page with the ask. I was so excited when they said they'd see what they could do."
Staff arranged for the wedding party to sit at the front of the plane while other passengers sat further back, reports the Mail.
Cathy said: "It was the most amazing experience and something we will remember for the rest of our lives.
"Our love of aviation is what brought us together."
In another alternative wedding, we revealed how couple Ciara O’Donnell and Bobby Cook swapped roles for their wedding.
Ciara donned a tux alongside her three bridesmaids, while strapping 6ft 4in Bobby put on a £45 frock and tiara and got his two groomsmen to wear dresses, too.
Bobby said: “We always joked Ciara wears the trousers in the relationship, so it made sense for her to wear them at the wedding.
“Ciara said she wouldn’t be walking down the aisle for me, so I walked down the aisle for her. So we decided to do everything backwards.
"I took her family name. It was so relaxed and everyone had a great laugh. There were a few gobsmacked faces.”


Angular JS Single Page Demo
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Hover below !!!
Quote of the Day: The best thing about a boolean is even if you are wrong, you are only off by a bit.


Recommended Reading
Here's a set of articles to get you started. Below, you'll find five articles extensively debating whether AI development should continue, along with 5 more articles detailing the nature, current state, and capabilities of AI based technology and their implications. Happy reading!
Moor, James H. “Why We Need Better Ethics for Emerging Technologies.” Ethics and Information Technology, vol. 7, no. 3, Sept. 2005, pp. 111–119., doi:https://doi.org/10.1007/s10676-006-0008-0.
Lin, Herbert. "Unleashing the High-tech Dogs of War: Artificial intelligence will bring deadlier, smarter weapons. And the command structures that deploy them are likely to possess fewer scruples about harming civilians." Hoover Digest, no. 2, 2018, p. 77+. Opposing Viewpoints in Context, http://link.galegroup.com/apps/doc/A537492347/OVIC?u=umd_um&sid=OVIC&xid=2393afba. Accessed 30 Sept. 2018.
Etzioni, Amitai, and Oren Etzioni. "Should artificial intelligence be regulated?" Issues in Science and Technology, vol. 33, no. 4, 2017, p. 32+. Opposing Viewpoints in Context, http://link.galegroup.com/apps/doc/A499863892/OVIC?u=umd_um&sid=OVIC&xid=6ac93380. Accessed 30 Sept. 2018.
Frankish, Keith, et al. “The ethics of artificial intelligence: Ethics in machine learning and other domain-specific AI algorithms” The Cambridge Handbook of Artificial Intelligence. Cambridge University Press, 2014.
Bryson, Joanna, and Alan Winfield. “Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems.” Computer (00189162), vol. 50, no. 5, May 2017, pp. 116–119. EBSCOhost, doi:10.1109/MC.2017.154.
Mccarthy, J., and P.j. Hayes. “Some Philosophical Problems from the Standpoint of Artificial Intelligence.” Readings in Artificial Intelligence, 1981, pp. 431–450., doi:10.1016/b978-0-934613-03-3.50033-7.
Dirican, Cüneyt. “The Impacts of Robotics, Artificial Intelligence On Business and Economics.” Procedia - Social and Behavioral Sciences, vol. 195, 2015, pp. 564–573., doi:10.1016/j.sbspro.2015.06.134.
Chien, S., et al. “The Future of AI in Space.” IEEE Intelligent Systems, vol. 21, no. 4, 2006, pp. 64–69., doi:10.1109/mis.2006.79.
Mcarthur, David, et al. “The Roles Of Artificial Intelligence In Education: Current Progress And Future Prospects.” i-Manager's Journal of Educational Technology, vol. 1, no. 4, 2005, pp. 42–80., doi:10.26634/jet.1.4.972.
Pennachin, Cassio and Goertzel, Ben. Artificial General Intelligence. Springer, 2007.


--- layout: regular ---
Epistasis Analysis of Teosinte Allele for Agronomic and Domestication Traits in Maize
Avinash Karn and Sherry Flint-Garcia
Evaluating Teosinte Alleles for Kernel Composition in Maize
Avinash Karn and Sherry Flint-Garcia
Enriching Biodiversity of Grain Crops as a Basis for Optimizing the Present and Future Global Food Demands
Avinash Karn and Sherry Flint-Garcia
Joint-Linkage QTL analysis for total kernel protein content in teosinte near isogenic lines
Avinash Karn and Sherry Flint-Garcia
Near-Infrared spectroscopy based phenomics study: Understanding the effect of teosinte alleles on kernel composition in maize
Avinash Karn and Sherry Flint-Garcia
Breeding Specialty Starch Maize Using Exotic Genetic Resources for Gene Discovery of Novel Alleles and Modifiers with Materials generated from USDA-ARS GEM Project
Avinash Karn; Mark Campbell; Brent Buckner; Diane Janick-Buckner; Michael Blanco; Paul Scott; Adrienne Moran-Lauter
Analysis of paralog evolution within homeologous regions of chromosomes 6, 5 and 9 of maize
Avinash Karn; Brent Buckner
Bioinformatic analysis of the intra-genomic evolution of retained homeologous paralogs in maize
Avinash Karn; Brent Buckner
Continued studies for optimizing a molecular marker assisted selection (mas) Backcross technique for introgression of a novel allele involved in starch synthesis Into genetically diverse maize lines of Latin American origin
Avinash Karn; Mark Campell
Evaluation of marker assisted backcross selection for the development of high amylose Corn
Avinash Karn1; Mark Campell1
Development and evaluation of specialty starch maize germplasm utilizing biodiversity from GEM releases to optimize grain quality, composition, and yield
Avinash Karn; Mark Campbell
Genetic studies to examine high amylose modifier gene(s)
Avinash Karn; Mark Campbell


My name is Darwin, I'm a Venezuelan engineer who's been working on the development field for a while. I currently live in Maracaibo and I look foward helping you acomplish that project you've been thinking on for a while.
Some of my skills include:
IT support and troubleshooting on site and remote. Knowledge with Java, PHP, HTML, CSS, JavaScript, JQuery, Bootstrap and C#. A bit of android development and Delphi windows services.


Learn something new everyday
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It doesn't hurt to keep practicing
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Fisma: Design and Prototype
Designer showcase of new prototype products
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Research study about New York


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This Weather App was developed by Make School students © 2020.


Watch Machine Gun Kelly Pay Tribute To Lil Peep
Machine Gun Kelly has paid tribute to the late Lil Peep with a cover of walk away as the door slams.
Following the release of new Lil Peep documentary and album Everybody’s Everything, which premiered on November 11, Machine Gun Kelly has unveiled an acoustic cover in tribute to the star.

It’s not the first Peep reference Machine Gun Kelly has released lately, with his recent Glass House single featuring the lyrics: ‘Wish Lil Peep and me had spoke, but I can’t get that back / Just came from Pittsburgh, damn, I’ll miss my homie Mac / Yeah, last time I got off the stage, I looked Chester in the face.’
Read this next: How emo rap has redefined rock music
Check out Machine Gun Kelly covering walk away as the door slams below:
And hear Lil Peep’s acoustic original of walk away as the door slams:
If you haven’t yet seen Everybody’s Everything, watch the trailer below to get a feel of the feature-length documentary.
Its full description reads: “Creating a unique mix of punk, emo and trap, Lil Peep was set to bring a new musical genre to the mainstream when he died of a drug overdose at just 21 years old. From the streets of Los Angeles to studios in London and sold out tours in Russia, the artist born Gustav Ahr touched countless lives through his words, his sound and his very being.
“Executive produced by Terrence Malick, Everybody’s Everything is an intimate, humanistic portrait that seeks to understand an artist who attempted to be all things to all people.”


"""
Copyright 2019 Goldman Sachs.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
"""
import datetime as dt
from concurrent.futures import Future
from typing import Iterable, Optional, Tuple, Union
from gs_quant.base import Priceable
from gs_quant.datetime.date import business_day_offset, date_range
from gs_quant.target.risk import PricingDateAndMarketDataAsOf
from .core import PricingContext
[docs]class HistoricalPricingContext(PricingContext):
"""
A context for producing valuations over multiple dates
"""
[docs] def __init__(
self,
start: Optional[Union[int, dt.date]] = None,
end: Optional[Union[int, dt.date]] = None,
calendars: Union[str, Tuple] = (),
dates: Optional[Iterable[dt.date]] = None,
is_async: bool = False,
is_batch: bool = False
):
"""
A context for producing valuations over multiple dates
:param start: start date
:param end: end date (defaults to today)
:param calendars: holiday calendars
:param dates: a custom iterable of dates
:param is_async: return immediately (True) or wait for results (False). Defaults to False
:param is_batch: use for calculations expected to run longer than 3 mins, to avoid timeouts. It can be used
with is_aync=True|False
**Examples**
>>> from gs_quant.instrument import IRSwap
>>>
>>> ir_swap = IRSwap('Pay', '10y', 'DKK')
>>> with HistoricalPricingContext(10):
>>> price_f = ir_swap.price()
>>>
>>> price_series = price_f.result()
"""
super().__init__(is_async=is_async, is_batch=is_batch)
if start is not None:
if dates is not None:
raise ValueError('Must supply start or dates, not both')
if end is None:
end = dt.date.today()
self.__date_range = tuple(date_range(start, end, calendars=calendars))
elif dates is not None:
self.__date_range = tuple(dates)
else:
raise ValueError('Must supply start or dates')
def resolve_fields(self, priceable: Priceable, in_place: bool) -> Optional[Union[Priceable, Future]]:
if in_place:
raise RuntimeError('Cannot resolve in place under a HistoricalPricingContext')
return super().resolve_fields(priceable, in_place)
@property
def _pricing_market_data_as_of(self) -> Tuple[PricingDateAndMarketDataAsOf, ...]:
return tuple(
PricingDateAndMarketDataAsOf(
d, business_day_offset(d, -1, roll='preceding') if d == dt.date.today() else d)
for d in self.__date_range)


What We Create
We offer a wide range of IT solutions ranging from Software development, Website Development, e-commerce online solution, ERP Management. Our core expertise is to develop cloud based custom apps using the latest technologies like Python - Django, Mean Stack, Larval, Ionic Framework etc.
Web Development
Seasoned web development services to entice customers and investors and to unravel new avenues of marketing with supreme tech flamboyance. Website Development is simply passion.
App Development
Versatile business apps, developed with precision, are sure shot business tools which motivate consumers for quick decisions. Products aligned with apps appeal most these days.
Internet Marketing
To prosper and to progress, a business simply looks for illustrious internet marketing group which would script new success stories globally by exploiting a range of platforms meant for such a purpose.
Content Marketing
We have an excellent team of content marketing experts, who are constantly on the search for creating great content marketing strategies that will drive your people to your business.
UI & UX Design
The UI & UX of the application improves the user experience and customer satisfaction that ultimately helps increase the number of users of the specific application.
Branding & Identity
An effective brand strategy gives you a major edge in increasingly competitive markets.


ApiResultCallback |
Generic interface for an API operation callback that either returns a result, ResultType, or an Exception interface ApiResultCallback<ResultType> |
AppInfo |
Data for identifying your plug-in or library. data class AppInfo : Parcelable |
CardUtils |
Utility class for functions to do with cards. object CardUtils |
CustomerSession |
Represents a logged-in session of a single Customer. class CustomerSession |
EphemeralKey |
Represents an Ephemeral Key that can be used temporarily for API operations that typically require a secret key. data class EphemeralKey : StripeModel |
EphemeralKeyProvider |
Represents an object that can call to a server and create EphemeralKeys. interface EphemeralKeyProvider |
EphemeralKeyUpdateListener |
Represents a listener for Ephemeral Key Update events. interface EphemeralKeyUpdateListener |
GooglePayConfig |
Configuration settings for Google Pay's class GooglePayConfig |
GooglePayJsonFactory |
A factory for generating Google Pay JSON request objects for Google Pay API version 2.0. class GooglePayJsonFactory |
IssuingCardPinService |
Methods for retrieval / update of a Stripe Issuing card class IssuingCardPinService |
PaymentAuthConfig |
Configuration for authentication mechanisms via StripePaymentController class PaymentAuthConfig |
PaymentConfiguration |
data class PaymentConfiguration : Parcelable |
PaymentIntentResult |
A model representing the result of a PaymentIntent confirmation via Stripe.confirmPayment or handling of next actions via Stripe.handleNextActionForPayment. class PaymentIntentResult : StripeIntentResult<PaymentIntent> |
PaymentSession |
Represents a single start-to-finish payment operation. class PaymentSession |
PaymentSessionConfig |
Configuration for PaymentSession. data class PaymentSessionConfig : Parcelable |
PaymentSessionData |
A data class representing the state of the associated PaymentSession. data class PaymentSessionData : Parcelable |
PayWithGoogleUtils |
Public utility class for common Pay with Google-related tasks. object PayWithGoogleUtils |
SetupIntentResult |
A model representing the result of a SetupIntent confirmation via Stripe.confirmSetupIntent or handling of next actions via Stripe.handleNextActionForSetupIntent. class SetupIntentResult : StripeIntentResult<SetupIntent> |
Stripe |
Entry-point to the Stripe SDK. class Stripe |
StripeError |
A model representing a Stripe Errors object. data class StripeError : StripeModel, Serializable |
StripeIntentResult |
A model representing the result of a StripeIntent confirmation or authentication attempt via Stripe.confirmPayment or Stripe.handleNextActionForPayment abstract class StripeIntentResult<T : StripeIntent> : StripeModel |
StripeTextUtils |
Utility class for common text-related operations on Stripe data coming from the server. object StripeTextUtils |


Fit functions¶
Common functions used in scipy’s curve_fit or minimize parameter estimations.
For all fit functions, it defines the functions in two forms (ex. of 3 params):
func(x, p1, p2, p3)
func_p(x, p) with p[0:3]
The first form can be used, for example, with scipy.optimize.curve_fit (ex. function f1x=a+b/x):
p, cov = scipy.optimize.curve_fit(functions.f1x, x, y, p0=[p0, p1])
It also defines two cost functions along with the fit functions, one with the absolute sum, one with the squared sum of the deviations:
cost_func = sum(abs(obs-func))
cost2_func = sum((obs-func)**2)
These cost functions can be used, for example, with scipy.optimize.minimize:
p = scipy.optimize.minimize(
jams.functions.cost2_f1x, np.array([p1, p2]), args=(x, y),
method='Nelder-Mead', options={'disp': False})
- Note the different argument orders:
curvefit needs f(x, *p) with the independent variable as the first argument and the parameters to fit as separate remaining arguments.
minimize is a general minimiser with respect to the first argument, i.e. func(p, *args).
The module provides also two common cost functions (absolute and squared deviations) where any function in the form func(x, p) can be used as second argument:
cost_abs(p, func, x, y)
cost_square(p, func, x, y)
This means, for example cost_f1x(p, x, y) is the same as cost_abs(p, functions.f1x_p, x, y). For example:
p = scipy.optimize.minimize(
jams.functions.cost_abs, np.array([p1, p2]),
args=(functions.f1x_p, x, y), method='Nelder-Mead',
options={'disp': False})
There are the following functions in four forms. They have the name in the
first column. The second form has a _p appended to the name. The cost
functions have cost_ or cost2_ prepended to the name, for example
gauss()
, gauss_p()
, cost_gauss()
, cost2_gauss()
:
Function - number of paramters |
Description |
|---|---|
Arrhenius temperature dependence of biochemical rates: \(\exp((T-TC25)*E/(T25*R*(T+T0)))\) |
|
General 1/x function: \(a + b/x\) |
|
General exponential function: \(a + b * \exp(c*x)\) |
|
Gauss function: \(1/(\sigma*\sqrt(2*\pi)) * \exp(-(x-\mu)^2/(2*\sigma^2))\) |
|
NEE of Lasslop et al. (2010) |
|
Straight line: \(a*x\) |
|
Straight line: \(a + b*x\) |
|
Heterotrophic respiration of Lloyd & Taylor (1994) |
|
Heterotrophic respiration of Lloyd & Taylor (1994) with fixed E0 |
|
|
Logistic function: \(a/(1+\exp(-b(x-c)))\) |
|
Logistic function with offset: \(a/(1+\exp(-b(x-c))) + d\) |
|
Double logistic function with offset \(L1/(1+\exp(-k1(x-x01))) - L2/(1+\exp(-k2(x-x02))) + a\) |
General polynomial: \(c_0 + c_1*x + c_2*x^2 + ... + c_n*x^n\) |
|
sqrt(f1x), i.e. general sqrt(1/x) function: \(\sqrt(a + b/x)\) |
|
Sequential Elementary Effects fitting function: \(a*(x-b)^c\) |
This module was written by Matthias Cuntz while at Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany, and continued while at Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nancy, France.
- copyright:
Copyright 2012-2022 Matthias Cuntz, see AUTHORS.rst for details.
- license:
MIT License, see LICENSE for details.
Functions:
|
General cost function for robust optimising func(x, p) vs y with sum of absolute deviations. |
|
General cost function for optimising func(x, p) vs y with sum of square deviations. |
|
Arrhenius temperature dependence of rates |
|
Arrhenius temperature dependence of rates |
|
Sum of absolute deviations of obs and arrhenius function |
|
Sum of squared deviations of obs and arrhenius function |
|
General 1/x function: \(a + b/x\) |
|
General 1/x function: \(a + b/x\) |
|
Sum of absolute deviations of obs and general 1/x function: \(a + b/x\) |
|
Sum of squared deviations of obs and general 1/x function: \(a + b/x\) |
|
General exponential function: \(a + b * exp(c*x)\) |
|
General exponential function: \(a + b * exp(c*x)\) |
|
Sum of absolute deviations of obs and general exponential function: \(a + b * exp(c*x)\) |
|
Sum of squared deviations of obs and general exponential function: \(a + b * exp(c*x)\) |
|
Gauss function: \(1 / (sqrt(2*pi)*sig) * exp( -(x-mu)**2 / (2*sig**2) )\) |
|
Gauss function: \(1 / (sqrt(2*pi)*sig) * exp( -(x-mu)**2 / (2*sig**2) )\) |
|
Sum of absolute deviations of obs and Gauss function: \(1 / (sqrt(2*pi)*sig) * exp( -(x-mu)**2 / (2*sig**2) )\) |
|
Sum of squared deviations of obs and Gauss function: \(1 / (sqrt(2*pi)*sig) * exp( -(x-mu)**2 / (2*sig**2) )\) |
|
NEE of Lasslop et al (2010) |
|
NEE of Lasslop et al (2010) |
|
Sum of absolute deviations of obs and Lasslop et al (2010) |
|
Sum of squared deviations of obs and Lasslop et al (2010) |
|
Straight line: \(a + b*x\) |
|
Straight line: \(a + b*x\) |
|
Sum of absolute deviations of obs and straight line: \(a + b*x\) |
|
Sum of squared deviations of obs and straight line: \(a + b*x\) |
|
Straight line through origin: \(a*x\) |
|
Straight line through origin: \(a*x\) |
|
Sum of absolute deviations of obs and straight line through origin: \(a*x\) |
|
Sum of squared deviations of obs and straight line through origin: \(a*x\) |
|
Soil respiration of Lloyd & Taylor (1994) |
|
Soil respiration of Lloyd & Taylor (1994) |
|
Sum of absolute deviations of obs and Lloyd & Taylor (1994) Arrhenius type. |
|
Sum of squared deviations of obs and Lloyd & Taylor (1994) Arrhenius type. |
|
Soil respiration of Lloyd & Taylor (1994) with fix E0 |
|
Soil respiration of Lloyd & Taylor (1994) with fix E0 |
|
Sum of absolute deviations of obs and Lloyd & Taylor with fixed E0 |
|
Sum of squared deviations of obs and Lloyd & Taylor with fixed E0 |
|
Square root of general 1/x function: \(sqrt(a + b/x)\) |
|
Square root of general 1/x function: \(sqrt(a + b/x)\) |
|
Sum of absolute deviations of obs and square root of general 1/x function: \(sqrt(a + b/x)\) |
|
Sum of squared deviations of obs and square root of general 1/x function: \(sqrt(a + b/x)\) |
|
General polynomial: :math:`c0 + c1*x + c2*x**2 + . |
|
General polynomial: :math:`c0 + c1*x + c2*x**2 + . |
|
Sum of absolute deviations of obs and general polynomial: :math:`c0 + c1*x + c2*x**2 + . |
|
Sum of squared deviations of obs and general polynomial: :math:`c0 + c1*x + c2*x**2 + . |
|
Sum of absolute deviations of obs and logistic function \(L/(1+exp(-k(x-x0)))\) |
|
Sum of squared deviations of obs and logistic function \(L/(1+exp(-k(x-x0)))\) |
|
Sum of absolute deviations of obs and logistic function 1/x function: \(L/(1+exp(-k(x-x0))) + a\) |
|
Sum of squared deviations of obs and logistic function 1/x function: \(L/(1+exp(-k(x-x0))) + a\) |
|
Sum of absolute deviations of obs and double logistic function with offset: \(L1/(1+exp(-k1(x-x01))) - L2/(1+exp(-k2(x-x02))) + a\) |
|
Sum of squared deviations of obs and double logistic function with offset: \(L1/(1+exp(-k1(x-x01))) - L2/(1+exp(-k2(x-x02))) + a\) |
|
Fit function of Sequential Elementary Effects: \(a * (x-b)**c\) |
|
Fit function of Sequential Elementary Effects: \(a * (x-b)**c\) |
|
Sum of absolute deviations of obs and fit function of Sequential Elementary Effects: \(a * (x-b)**c\) |
|
Sum of squared deviations of obs and fit function of Sequential Elementary Effects: \(a * (x-b)**c\) |
- History
Written Dec 2012 by Matthias Cuntz (mc (at) macu (dot) de)
Ported to Python 3, Feb 2013, Matthias Cuntz
Added general cost functions cost_abs and cost_square, May 2013, Matthias Cuntz
Added line0, Feb 2014, Matthias Cuntz
Removed multiline_p, May 2020, Matthias Cuntz
Changed to Sphinx docstring and numpydoc, May 2020, Matthias Cuntz
More consistent docstrings, Jan 2022, Matthias Cuntz
- cost2_fexp(p, x, y)[source]¶
Sum of squared deviations of obs and general exponential function: \(a + b * exp(c*x)\)
- cost2_gauss(p, x, y)[source]¶
Sum of squared deviations of obs and Gauss function: \(1 / (sqrt(2*pi)*sig) * exp( -(x-mu)**2 / (2*sig**2) )\)
- cost2_lasslop(p, Rg, et, VPD, NEE)[source]¶
Sum of squared deviations of obs and Lasslop et al (2010)
- Parameters:
p (iterable of floats) –
- parameters (len(p)=4)
p[0] = Light use efficiency, i.e. initial slope of light response curve [umol(C) J-1]
p[1] = Maximum CO2 uptake rate at VPD0=10 hPa [umol(C) m-2 s-1]
p[2] = e-folding of exponential decrease of maximum CO2 uptake with VPD increase [Pa-1]
p[3] = Respiration at Tref (10 degC) [umol(C) m-2 s-1]
Rg (float or array_like of floats) – Global radiation [W m-2]
et (float or array_like of floats) – Exponential in Lloyd & Taylor: np.exp(E0*(1./(Tref-T0)-1./(T-T0))) []
VPD (float or array_like of floats) – Vapour Pressure Deficit [Pa]
NEE (float or array_like of floats) – Observed net ecosystem exchange [umol(CO2) m-2 s-1]
- Returns:
sum of squared deviations
- Return type:
- cost2_line0(p, x, y)[source]¶
Sum of squared deviations of obs and straight line through origin: \(a*x\)
- cost2_lloyd_fix(p, T, resp)[source]¶
Sum of squared deviations of obs and Lloyd & Taylor (1994) Arrhenius type.
- Parameters:
- Returns:
sum of squared deviations
- Return type:
- cost2_lloyd_only_rref(p, et, resp)[source]¶
Sum of squared deviations of obs and Lloyd & Taylor with fixed E0
- cost2_logistic(p, x, y)[source]¶
Sum of squared deviations of obs and logistic function \(L/(1+exp(-k(x-x0)))\)
- Parameters:
p (iterable of floats) –
- parameters (len(p)=3)
p[0] = L = Maximum of logistic function
p[1] = k = Steepness of logistic function
p[2] = x0 = Inflection point of logistic function
x (float or array_like of floats) – independent variable
y (float or array_like of floats) – dependent variable, observations
- Returns:
sum of squared deviations
- Return type:
- cost2_logistic2_offset(p, x, y)[source]¶
Sum of squared deviations of obs and double logistic function with offset: \(L1/(1+exp(-k1(x-x01))) - L2/(1+exp(-k2(x-x02))) + a\)
- Parameters:
p (iterable of floats) –
- parameters (len(p)=7)
p[0] = L1 = Maximum of first logistic function
p[1] = k1 = Steepness of first logistic function
p[2] = x01 = Inflection point of first logistic function
p[3] = L2 = Maximum of second logistic function
p[4] = k2 = Steepness of second logistic function
p[5] = x02 = Inflection point of second logistic function
p[6] = a = Offset of double logistic function
x (float or array_like of floats) – independent variable
y (float or array_like of floats) – dependent variable, observations
- Returns:
sum of squared deviations
- Return type:
- cost2_logistic_offset(p, x, y)[source]¶
Sum of squared deviations of obs and logistic function 1/x function: \(L/(1+exp(-k(x-x0))) + a\)
- Parameters:
p (iterable of floats) –
- parameters (len(p)=4)
p[0] = L = Maximum of logistic function
p[1] = k = Steepness of logistic function
p[2] = x0 = Inflection point of logistic function
p[3] = a = Offset of logistic function
x (float or array_like of floats) – independent variable
y (float or array_like of floats) – dependent variable, observations
- Returns:
sum of squared deviations
- Return type:
- cost2_poly(p, x, y)[source]¶
Sum of squared deviations of obs and general polynomial: \(c0 + c1*x + c2*x**2 + ... + cn*x**n\)
- cost2_sabx(p, x, y)[source]¶
Sum of squared deviations of obs and square root of general 1/x function: \(sqrt(a + b/x)\)
- cost2_see(p, x, y)[source]¶
Sum of squared deviations of obs and fit function of Sequential Elementary Effects: \(a * (x-b)**c\)
- cost_abs(p, func, x, y)[source]¶
General cost function for robust optimising func(x, p) vs y with sum of absolute deviations.
- cost_fexp(p, x, y)[source]¶
Sum of absolute deviations of obs and general exponential function: \(a + b * exp(c*x)\)
- cost_gauss(p, x, y)[source]¶
Sum of absolute deviations of obs and Gauss function: \(1 / (sqrt(2*pi)*sig) * exp( -(x-mu)**2 / (2*sig**2) )\)
- cost_lasslop(p, Rg, et, VPD, NEE)[source]¶
Sum of absolute deviations of obs and Lasslop et al (2010)
- Parameters:
p (iterable of floats) –
- parameters (len(p)=4)
p[0] = Light use efficiency, i.e. initial slope of light response curve [umol(C) J-1]
p[1] = Maximum CO2 uptake rate at VPD0=10 hPa [umol(C) m-2 s-1]
p[2] = e-folding of exponential decrease of maximum CO2 uptake with VPD increase [Pa-1]
p[3] = Respiration at Tref (10 degC) [umol(C) m-2 s-1]
Rg (float or array_like of floats) – Global radiation [W m-2]
et (float or array_like of floats) – Exponential in Lloyd & Taylor: np.exp(E0*(1./(Tref-T0)-1./(T-T0))) []
VPD (float or array_like of floats) – Vapour Pressure Deficit [Pa]
NEE (float or array_like of floats) – Observed net ecosystem exchange [umol(CO2) m-2 s-1]
- Returns:
sum of absolute deviations
- Return type:
- cost_line0(p, x, y)[source]¶
Sum of absolute deviations of obs and straight line through origin: \(a*x\)
- cost_lloyd_fix(p, T, resp)[source]¶
Sum of absolute deviations of obs and Lloyd & Taylor (1994) Arrhenius type.
- Parameters:
- Returns:
sum of absolute deviations
- Return type:
- cost_lloyd_only_rref(p, et, resp)[source]¶
Sum of absolute deviations of obs and Lloyd & Taylor with fixed E0
- cost_logistic(p, x, y)[source]¶
Sum of absolute deviations of obs and logistic function \(L/(1+exp(-k(x-x0)))\)
- Parameters:
p (iterable of floats) –
- parameters (len(p)=3)
p[0] = L = Maximum of logistic function
p[1] = k = Steepness of logistic function
p[2] = x0 = Inflection point of logistic function
x (float or array_like of floats) – independent variable
y (float or array_like of floats) – dependent variable, observations
- Returns:
sum of absolute deviations
- Return type:
- cost_logistic2_offset(p, x, y)[source]¶
Sum of absolute deviations of obs and double logistic function with offset: \(L1/(1+exp(-k1(x-x01))) - L2/(1+exp(-k2(x-x02))) + a\)
- Parameters:
p (iterable of floats) –
- parameters (len(p)=7)
p[0] = L1 = Maximum of first logistic function
p[1] = k1 = Steepness of first logistic function
p[2] = x01 = Inflection point of first logistic function
p[3] = L2 = Maximum of second logistic function
p[4] = k2 = Steepness of second logistic function
p[5] = x02 = Inflection point of second logistic function
p[6] = a = Offset of double logistic function
x (float or array_like of floats) – independent variable
y (float or array_like of floats) – dependent variable, observations
- Returns:
sum of absolute deviations
- Return type:
- cost_logistic_offset(p, x, y)[source]¶
Sum of absolute deviations of obs and logistic function 1/x function: \(L/(1+exp(-k(x-x0))) + a\)
- Parameters:
p (iterable of floats) –
- parameters (len(p)=4)
p[0] = L = Maximum of logistic function
p[1] = k = Steepness of logistic function
p[2] = x0 = Inflection point of logistic function
p[3] = a = Offset of logistic function
x (float or array_like of floats) – independent variable
y (float or array_like of floats) – dependent variable, observations
- Returns:
sum of absolute deviations
- Return type:
- cost_poly(p, x, y)[source]¶
Sum of absolute deviations of obs and general polynomial: \(c0 + c1*x + c2*x**2 + ... + cn*x**n\)
- cost_sabx(p, x, y)[source]¶
Sum of absolute deviations of obs and square root of general 1/x function: \(sqrt(a + b/x)\)
- cost_see(p, x, y)[source]¶
Sum of absolute deviations of obs and fit function of Sequential Elementary Effects: \(a * (x-b)**c\)
- cost_square(p, func, x, y)[source]¶
General cost function for optimising func(x, p) vs y with sum of square deviations.
- gauss(x, mu, sig)[source]¶
Gauss function: \(1 / (sqrt(2*pi)*sig) * exp( -(x-mu)**2 / (2*sig**2) )\)
- lasslop(Rg, et, VPD, alpha, beta0, k, Rref)[source]¶
NEE of Lasslop et al (2010)
Lasslop et al. (2010) is the rectangular, hyperbolic light-response of NEE as by Falge et al. (2001), where the respiration is calculated with Lloyd & Taylor (1994), and the maximum canopy uptake rate at light saturation decreases exponentially with VPD as in Koerner (1995).
- Parameters:
Rg (float or array_like of floats) – Global radiation [W m-2]
et (float or array_like of floats) – Exponential in Lloyd & Taylor: np.exp(E0*(1./(Tref-T0)-1./(T-T0))) []
VPD (float or array_like of floats) – Vapour Pressure Deficit [Pa]
alpha (float) – Light use efficiency, i.e. initial slope of light response curve [umol(C) J-1]
beta0 (float) – Maximum CO2 uptake rate at VPD0=10 hPa [umol(C) m-2 s-1]
k (float) – e-folding of exponential decrease of maximum CO2 uptake with VPD increase [Pa-1]
Rref (float) – Respiration at Tref (10 degC) [umol(C) m-2 s-1]
- Returns:
net ecosystem exchange [umol(CO2) m-2 s-1]
- Return type:
- lasslop_p(Rg, et, VPD, p)[source]¶
NEE of Lasslop et al (2010)
Lasslop et al. (2010) is the rectangular, hyperbolic light-response of NEE as by Falge et al. (2001), where the respiration is calculated with Lloyd & Taylor (1994), and the maximum canopy uptake rate at light saturation decreases exponentially with VPD as in Koerner (1995).
- Parameters:
Rg (float or array_like of floats) – Global radiation [W m-2]
et (float or array_like of floats) – Exponential in Lloyd & Taylor: np.exp(E0*(1./(Tref-T0)-1./(T-T0))) []
VPD (float or array_like of floats) – Vapour Pressure Deficit [Pa]
p (iterable of floats) –
- parameters (len(p)=4)
p[0] = Light use efficiency, i.e. initial slope of light response curve [umol(C) J-1]
p[1] = Maximum CO2 uptake rate at VPD0=10 hPa [umol(C) m-2 s-1]
p[2] = e-folding of exponential decrease of maximum CO2 uptake with VPD increase [Pa-1]
p[3] = Respiration at Tref (10 degC) [umol(C) m-2 s-1]
- Returns:
net ecosystem exchange [umol(CO2) m-2 s-1]
- Return type:
- lloyd_fix(T, Rref, E0)[source]¶
Soil respiration of Lloyd & Taylor (1994)
Lloyd & Taylor (1994) Arrhenius type with T0=-46.02 degC and Tref=10 degC
- lloyd_fix_p(T, p)[source]¶
Soil respiration of Lloyd & Taylor (1994)
Lloyd & Taylor (1994) Arrhenius type with T0=-46.02 degC and Tref=10 degC
- lloyd_only_rref(et, Rref)[source]¶
Soil respiration of Lloyd & Taylor (1994) with fix E0
If E0 is know in Lloyd & Taylor (1994) then one can calc the exponential term outside the routine and the fitting becomes linear. One could also use functions.line0.
- lloyd_only_rref_p(et, p)[source]¶
Soil respiration of Lloyd & Taylor (1994) with fix E0
If E0 is know in Lloyd & Taylor (1994) then one can calc the exponential term outside the routine and the fitting becomes linear. One could also use functions.line0.


| 859 | (A) | and ałłe assentede to his sawe that to the segge langede |
| 862 | (C) | ¶ Alle assented to his sawe . þat to þe sege longede |
| 848 | (D) | Alle assentid to þat segge þat to þe sege longid |
| 825 | (E) | ¶ Alle assentyd to hym . þat to þe seege longed |
| (Ex) | ---- no text ---- | |
| 878 | (L) | alle assenteden to þe sawe þat to þe cite longed |
| 799 | (P) | Ałł assentyd tiłł his saw þat þe sege harde |
| 833 | (U) | ¶ Alle assent to that segge / that to the sege lasten |
| (V) | ---- no text ---- |


When Bocabar will open its new restaurant at Finzels Reach
New details have been revealed ahead of the launch
by Robin MurrayBristol city centre's newest bar and restaurant is now just one week away from opening.
Bocabar, based at the Paintworks off Bath Road, is launching its second site in Bristol at Finzels Reach on Thursday, November 28, creating a hub for drinking, dining and socialising.
Open seven days a week, the team behind Bocabar said it will have an 'eclectic feel, combining a vintage and rustic look with a little bit of luxury'.
They added people can expect to find 'velvet drapes in the doorways, vintage lamps, reclaimed wood and copper features'.
Bocabar owners Mel and Paul Eavis, who started the business 15 years ago, have today announced the chef team behind the new venture.
Head chef of its Paintworks venue, Jason McNeilly, will also oversee the kitchens at the Finzels Reach site.
He will be joined by chef Jacob Norris, previously head chef at the Spotted Cow and the Sheppy Inn in Godney, and Ben Sacree, head pizza chef, previously of B-Block in Keynsham.
Melissa said: "We're ecstatic to be so close to opening our exciting new restaurant and bar at Finzels Reach and we can't wait to welcome everyone in to try it out.
'A perfect fit'
"We've brought together the 'best bits' of our Paintworks and Glastonbury restaurants to develop a truly unique menu.
"For us, Finzels Reach was a perfect fit for our business as it's right in the heart of the city and part of an established community of independent cafes and bars - we also love the character and charm of the Fermentation Buildings."
The new venue will serve breakfast, lunch and dinner, including a menu of 25 different stone-baked pizzas, gourmet burgers, sharing mezze plates and daily specials focusing on small, local suppliers and seasonal ingredients.
To wash it all down there will be cocktails, specialist gins, local craft beers and wines, with the bar aiming to offer something for everyone.
Bocabar, which will be open seven days a week, will be based on the ground floor of the Fermentation Buildings, underneath Channel 4, which is opening its new creative base in the city before Christmas.
It will open onto Hawkins Lane, the new walkway that runs through the heart of Finzels Reach, connecting to Castle Park and the city centre via Castle Bridge.
For the latest news in and around Bristol, visit and bookmark Bristol Live's homepage.


Desktop Media Uploader is a small desktop application that you can install on your computer which allows you to easily upload media items directly to the media section.
The badge below will auto configure itself based upon whether you already have Desktop Media Uploader installed or not.
Just click the Install Now / Upgrade Now / Launch Now link to perform that action.
Download Desktop Media Uploader now.
This application requires Adobe® AIR™ to be installed for Mac OS or Windows.


In this scenario, you can crop and scale images to customize the way they are shown on tiles if the default
tile cropping does not show the proper areas of an image.
Sending smaller or pre-cropped image notifications
reduces the amount of bandwith and space requirements for the user. These images will also be scaled more
appropriately, resulting in a premium experience for the user.
Images which have the wrong aspect ratio are automatically resized and cropped
to fit on the tile template. Images that will appear on tiles must be in .png, .jpg,
.jpeg, or .gif format and can have a maximum size of 200KB and dimensions of 1024x1024.
Images that exceed the dimensions or filesize will not be displayed on tiles.
Select an image that will be copied to this app's local folder.
Images can be autoscaled and cropped, scaled, or cropped.
Autoscale & Crop
Scales the image to fit the tile without letterboxing or pillarboxing to a certain tile template and then
allows for custom cropping specifications.
Scale
Allows for custom scaling of an image by specifying a scaling percentage. Also can scale images down to
1024x1024 if the image is over the dimension limit for tiles.
Crop
Allows for custom cropping of an image by specifying the upper left corner and the height and width of
the cropping section.
Select an image manipulation method
Select a scale percentage. This is used by Windows for displaying tiles on many different devices.
A smaller screen with a lower DPI will have the tile image displayed at 80% while larger screens with
higher resolutions may be displayed at 140% or 180%.
Select a tile template
Select an image position from the template
Select a cropping method
px
Select a scale percentage. This is used by Windows for displaying tiles on many different devices.
A smaller screen with a lower DPI will have the tile image displayed at 80% while larger screens
with higher resolutions may be displayed at 140% or 180%. Aspect ratio is always kept the same as
the original. Max Allowed scales image to be under 1024 x 1024px.
Upper left (x, y) where (0, 0) is the top left corner
(,
)
Crop width
px
Crop height
px
Note: this image is either over the 1024x1024 dimension limit or the 200kb size limit for tile images


Programmer/Developer
A rss reader web app created for my CS50x final project
A simple website demonstrating what Unix Time is and it's current value.
A command-line clock written in python that is designed to work in terminal windows and centers automatically.
A collection of Greasemonkey/Tampermonkey scripts written by myself (and crossposted to Greasy Fork.)
more coming soon


The Application Programming Inferface (API) allows a JaamSim model to be constructed and/or launched from another program.
The API is implemented through the JaamSimModel class. There is one constructor for this class:
JaamSimModel() Constructs a new instance of the JaamSimModel class.
The following methods can be used.
Method Summary for JaamSimModel
|
Modifier and Type |
Method and Description |
|
void |
autoLoad() Pre-loads the simulation model with basic objects such as Simulation and Units. |
|
void |
configure(File file) Loads the specified configuration file to create the objects in the model. The autoLoad() method must be executed first. |
|
void |
start() Starts the simulation model on a new thread. |
|
void |
pause() Suspends model execution at the present simulation time. |
|
void |
resume(double simTime) Resumes a paused simulation model. The model will continue execution until the specified simulation time at which the model will be paused. Events scheduled at the next pause time will not be executed until the model is resumed. |
|
void |
reset() Sets the simulation time to zero and re-initialises the model. The start() method can be used to begin a new simulation run. |
|
void |
clear() Deletes all the objects in the present model and prepares the JaamSimModel to load a new input file using the autoLoad() and configure() methods. |
|
double |
getSimTime() Returns the present simulation time in seconds. |
|
boolean |
isRunning() Returns true if the simulation is executing. |
|
void |
defineEntity(String type, String name) Creates a new entity with the specified type and name. If the name already used, "_1", "_2", etc. will be appended to the name until an unused name is found. |
|
void |
setInput(String entName, String keyword, String arg) Sets the input for the specified entity and keyword to the specified string. |
|
String |
getStringValue(String expString) Evaluates the specified expression and returns its value as a string. Any type of result can be returned by the expression, including an entity or an array. If it returns a number, it must be dimensionless. |
|
double |
getDoubleValue(String expString) Evaluates the specified expression and returns its value. The expression must return a dimensionless number. All other types of expressions return NaN. |
|
void |
save(File file) Writes the inputs for the simulation model to the specified file. |
Also provided are 'setValue' methods for the FileToVector, FileToMatrix, and FileToHashMap classes. The setValue method sets the data for these objects directly from a Java data structure, without the use of the DataFile input which can be left blank.