Connection to real algebra
In many applications, our goal is to search over a set of functions
that satisfy some nonnegativity conditions.
- Optimization:
\(\text{policy}: \text{time} \rightarrow \text{action}\)
- Duality: $$\min_{x } f(x) \Leftrightarrow \max_{\gamma \in \mathbb R, \;f(x)- \gamma \ge 0 \; \forall x} \gamma$$
- Analysis of DS $\dot x = f(x)$:
\[\text{Stability $\Leftrightarrow$ $\exists$ Lyapunov function $V(x)$}\]
- Learning: $f: \mathbb R^n \rightarrow \mathbb R^n$
- $$p(x_1, \ldots, x_n) = \sum_{\alpha_1, \ldots, \alpha_n} p_{\alpha_1, \ldots, \alpha_n} x_1^{\alpha_i} \ldots x_1^{\alpha_n}$$
- Is $p(x) \ge 0 \quad \forall \in \mathbb R^n$?
- NP-hard for degrees as small as $4$
- $\Uparrow$
- $p(x) = \sum_i q_i^2(x)$
- Can be cast as an SDP
- $\iff \exists Q \succeq 0 \quad p(x) = m^TQm$
with $m = (1, x_1, \ldots, x_n, x_1x_2, \ldots, x_n^d)^T$
- This is true even if some coefficients of $p$ are unknown
- Is $p(x) > 0 \quad \forall x \in \mathbb \Omega$?
- $\Omega = \{x \in \mathbb R^n \; | \; g_1(x) \ge 0, \ldots, g_m(x) \ge 0\}$
- \[ \; \]
- Putinar's theorem (under Archimedean condition)
- $\exists$ sos polynomials $\sigma_0, \ldots, \sigma_m$ s.t. $$p(x) = \sigma_0(x) + \sigma_1(x) g_1(x) + \ldots + \sigma_m(x) g_m(x)$$
- Search over $\sigma_i$ is an SDP when we bound the degree
SOS-approach = This pipeline
SDP ===(via SOS)==> Search over subsets of fcts allows applications in:
- Optimization
- Analysis of DS
- Learning DS
This thesis:
- Advance these connections further
- Study the power and limitations of SDP-based approaches.
- Contribution: theoretical and algorithmic


Full of philosophical puzzles and supernatural surprises, these stories contain some of Borges’s most fully realized human characters.


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Status: passed, as amended, Mar 89 X3J13.Forum: Cleanup
Issue: DYNAMIC-EXTENT
References: Scope and Extent
Category: ADDITION
Edit history: 27-Jun-88, Version 1 by Pitman (as issue STACK-LET)
15-Nov-88, Version 2 by Pitman (issue renamed, major revision)
11-Jan-89, Version 3 by Masinter (Moon's proposal)
05-Apr-89, Version 4 by Pitman and Steele (changes per X3J13)
Related-Issues: REST-ARGUMENT-EXTENT, WITH-DYNAMIC-EXTENT
Problem Description:
Sometimes a programmer knows that a particular data structure
will have only dynamic extent. In some implementations, it is
possible to allocate such structures in a way that will make them
easier to reclaim than by general purpose garbage collection
(eg, on the stack or in some temporary area). Currently, however,
there is no way to request the use of such an allocation mechanism.
Proposal (DYNAMIC-EXTENT:NEW-DECLARATION):
Introduce a new declaration called DYNAMIC-EXTENT. The arguments to
this declaration are names of variables.
It is permissible for an implementation to simply ignore this declaration.
In implementations which do not ignore it, the compiler (or interpreter)
is free to make whatever optimizations are appropriate given this
information; the most common optimization is to stack-allocate the
initial value of the object. What data types (if any) can have dynamic
extent will can vary from implementation to implementation.
Definition: Object <x> is an ``otherwise inaccessible part'' (OIP)
of <y> iff making <y> inaccessible would make <x> inaccessible.
(Note that every object is an OIP of itself.)
Suppose that construct <c> contains a DYNAMIC-EXTENT declaration for
variable <v> (which need not be bound by <c>). Consider the values
<w1>, ..., <wN> taken on by <v> during the course of some execution of
<c>. The declaration asserts that if object <x> is an OIP of <wI>
when <wI> ever becomes the value of <v>, then just after execution of
<c> terminates <x> will be either inaccessible or still an OIP of <v>.
If the assertion is ever violated, the conseqeuences are undefined.
Examples:
Since stack allocation of the initial value entails knowing at the
object's creation time that the object can be stack-allocated, it is
not generally useful to declare DYNAMIC-EXTENT for variables for
which have no lexically apparent initial value. For example,
(DEFUN F ()
(DECLARE (DYNAMIC-EXTENT X))
...))
would permit those compilers which wish to do so to stack-allocate the
list in X. However,
(DEFUN G (X) (DECLARE (DYNAMIC-EXTENT X)) ...)
could not typically permit a similar optimization in G because it would
be a modularity violation for the compiler to assume facts about G from
within F. Only an implementation which was willing to be responsible for
recompiling F if G's definition changed incompatibly could stack-allocate
the list argument to G in F.
Other interesting cases are:
(DEFUN G (X) (DECLARE (DYNAMIC-EXTENT X)) ...)
and (DEFUN F ()
(FLET ((G (X) (DECLARE (DYNAMIC-EXTENT X)) ...))
(G (LIST 1 2 3))))
where some compilers might realize the optimization was possible and others
might not.
An interesting variant of this is the so-called `stack allocated rest list'
which can be achieved (in implementations supporting the optimization) by:
(DECLARE (DYNAMIC-EXTENT X))
...)
Note here that although the initial value of X is not explicit, the F
function is responsible for assembling the list X from the passed arguments,
so the F function can be optimized by the compiler to construct a
stack-allocated list instead of a heap-allocated list in implementations
which support such.
In
(Y (CONS 'A2 (CONS 'B2 (CONS 'C2 NIL)))))
(DECLARE (DYNAMIC-EXTENT X Y))
...)
The OIP's of X are three conses, and the OIP's of Y are three other
conses. None of the symbols A1, B1, C1, A2, B2, C2, or NIL is an
OIP of X or Y. However, if a freshly allocated uninterned symbol had
been used, it would have been an OIP.
 Since I is an integer by the
definition of DOTIMES, but EQ and EQL are not necessarily equivalent for
integers, what are the OIP's of I, which this declaration
requires the body of the DOTIMES not to "save"? If the value of I is 3,
and the body does (SETQ FOO 3), is that an error? The answer is no, but
the interesting thing is that it depends on the implementation-dependent
behavior of EQ on numbers. In an implementation where EQ and EQL are
equivalent for 3, then 3 is not an OIP because (EQ I (+ 2 1)) is true,
and therefore there is another way to access the object besides
going through I. On the other hand, in an implementation where EQ and
EQL are not equivalent for 3, then the particular 3 that is the value of
I is an OIP, but any other 3 is not. Thus (SETQ FOO 3) is valid
but (SETQ FOO I) is erroneous. Since (SETQ FOO I) is erroneous in some
implementations, it is erroneous in all portable programs, but some other
implementations may not be able to detect the error.

;; It may be slow, but with a good compiler at least it
;; doesn't waste much heap storage.
It may be difficult or impossible for a compiler to infer this
same information statically.
Since a number of implementations offer this capability and there
is demand from users for access to the capability, this ``codifies
existing practice.''
Because this approach is purely lexical, it does not interact badly with
other programs in the way that the macro WITH-DYNAMIC-EXTENT (see issue
by same name) would.
Current Practice:
Symbolics Genera and Symbolics Cloe offer stack allocation, though not
in this strategy.
[KMP thinks that] Lucid supports the proposal.
Cost to Implementors:
No cost is forced since implementations are permitted to simply
ignore the DYNAMIC-EXTENT declaration.
Cost to Users:
None. This change is upward compatible.
There may be some hidden costs to debugging using this declaration (or any
feature which permits the user to access dynamic extent objects without
the compiler proving that they are appropriate). If the user misdeclares
something and returns a pointer into the stack (or stores it in the heap),
an undefined situation may result and the integrity of the Lisp storage
mechanism may be compromised. Debugging these situations may be tricky,
but users who have asked for this feature have indicated a willingness
to deal with such costs. Nevertheless, the perils should be clearly
documented and casual users should not be encouraged to use this
declaration.
Cost of Non-Adoption:
Some portable code would be forced to run more slowly (due to
GC overhead), or to use non-portable language features.
Benefits:
The cost of non-adoption is avoided.
Aesthetics:
This declaration allows a fairly low level optimization to work
by asking the user to provide only very high level information.
The alternatives (sharpsign conditionals, some of which may
lead to more bit-picky abstractions) are far less aesthetic.
Discussion:
A previous version of this proposal suggested primitives STACK-LET
and STACK-LET*. Consensus was that the more general declaration facility
would be more popular.
Moon came up with a description of something called a "proper part" which
Steele formalized into the idea of an "otherwise inaccessible part". The
two are essentially interchangeable, but Steele's description was more
rigorous.
KMP: ... it still raises the question of whether we should define
per-function for every CL function whether any of the arguments is
permitted to be "saved" so that CL programs don't get any funny
surprises. If we don't, it ends up being implementor's discretion how
to resolve cases ... and everyone might not agree that all cases are
... obvious ...
JonL: PDP10 MacLisp had a similar problem w.r.t pdlnums. That is why
"identity" functions were so troublsome for it -- in order to
return a guaranteed safe value, it typically had to copy it's
pdlnum argument, thereby making some cases of "fast arithmetic"
code much worse than interpreted code! [Remember PRINT in MacLisp?
it returns T rather than it's argument for just this reason.]
It is necessary for an optimizing compiler to know something about
what happens to the data it passes along to "system" functions; for
example, it could assume that GET doesn't clobber the list given
to it, nor does it retain pointers to any part of it [what was the
terminology in the revised proposal? "saved"? and "proper part"?]
The issue LISP-SYMBOL-REDEFINITION might help here, in that an
implementation's compilers could depend upon it's own internal
database. But it wouldn't hurt at all to have some of these
requirements "up front" in the standard.
It was generally agreed that we would also like to consider a proposal
on dynamic extent functions at the next meeting. (Sandra said she would
prepare one, and has already done so. See issue DYNAMIC-EXTENT-FUNCTION.)


[§5-6.5] State language. The Hawaiian language is the native language of Hawaii and may be used on all emblems and symbols representative of the State, its departments, agencies and political subdivisions. [L 1978, c 207, §1]
Law Journals and Reviews
"Officially" What? The Legal Rights and Implications of Ōlelo Hawaii. 30 UH L. Rev. 243.


Woman in Tech Spotlight
Kim Swift is a computer programmer who frequently works as a game designer. She is a major inspiration to us and our game, because she makes intriguing stories to go with the games she designs. She usually adds subtle messages in her games to show different issues in society including mental health issues, the subject of our game. All of her games are of outstanding quality, whether it's the graphics, animations or the storyline. Some of these games include Left 4 Dead, Left 4 Dead 2, Portal, Half-Life, which had huge impacts among the gaming community and are still frequently talked about and played despite being considered old.
Kim was born in 1983 and currently lives in Montreal, Quebec. She has worked at various big corporations like Amazon and EA (Electronic Arts), where she currently works. Some of her accomplishments and awards include being named one of Fortune’s “30 under 30”.
In a Q&A, she said that ambiguity is extremely important to her in her games, giving hints to a hidden underlying message that is general enough to allow room for different interpretations by the gamers. We all thrive to create games and use our coding expertise to make a career for ourselves in computer science, just as Swift does currently.


This is an instance of the Shibboleth Identity Provider with support for OpenID Connect, running inside Docker.
The running container presents the identity provider as well as numerous sample applications that are pre-configured
to interact with the identity provider via SAML or OpenID Connect.
Development is sponsored by the University of Chicago.


I do flyers for a job and work around the house
I really like creating and writing. My dad works for Rawlco Radio in Regina and produces and writes advertisements. I think that would be a really fun job. I like the idea of makeing videos with effects and nice editing. Yah, I really like Editing, or I might want to be a journalist. Iv'e also thought about housing for a job before too.


Proof By Contradiction
A proof by contradiction is a form of indirect proof that begins with the assumption that the hypothesis is true and the conclusion is false. It then proceeds to arrive at a contradiction. If you are trying to prove $P \rightarrow Q$ (if $P$, then $Q$),
you start with $P \land \lnot Q$ ($P$ and not $Q$) and arrive at a new conclusion $R \land \lnot R$ ( $R$ and not $R$), a contradiction. Please do not confuse this with Proof by Contraposition. The most well
known proof that uses this is the proof that $\sqrt{2}$ is irrational. The proof will be presented in Example 2.
Ex. 1: Prove that there is no smallest positive non-zero number.
| Statement |
Proof |
| Suppose there exist $a>0$ which is the smallest number possible |
Proof by Contradiction, Definition of a rational number |
| There exist a smaller number $\frac{a}{10}$ such that $a>\frac{a}{10}>0$ which is an even smaller number |
Contradiction to Statement 1 |
We arrived at a contradiction! That completes the proof.
Ex. 2: Prove that $\sqrt{2}$ is irrational.
| Statement |
Proof |
| Suppose $\sqrt{2}=\frac{p}{q}$ where $p$ and $q$ are relatively prime (have no common prime factors) |
Proof by Contradiction, Definition of a rational number |
| $2=\frac{p^2}{q^2}$ |
|
| $2q^2=p^2$ |
|
| $p$ must be even |
Statement 3, Statement 1 |
| There exist an integer $k$ such that $p=2k$ |
Definition of an Even Number |
| $2q^2=4k^2$ |
|
| $q^2=2k^2$ |
|
| $q$ must be even |
Contradiction to Statement 4 |
Ex. 3: Prove that $^{m}\sqrt{n}$ is irrational if and only if there is no integer value $k$ such that $k^m=n$ or $\nexists k\in \mattbb{Z} | k^m=n$ ( $n$ is not a perfect $m$th power).
Proposition 3.1: $\sqrt{n}$ is irrational if and only if $n$ is a square number (Euclid's Lemma)
| Statement |
Proof |
| Suppose $\sqrt{n}=\frac{p}{q}$ where $p$ and $q$ are relatively prime (have no common prime factors) |
Proof by Contradiction, Definition of a rational number |
| $n=\frac{p^2}{q^2}$ |
|
| $nq^2=p^2$ |
|
| $p$ must be divisible by $n$ |
Statement 3, Statement 1 |
| There exist an integer $i$ such that $p=nk$ |
Definition of Divisibility |
| $nq^2=n^2k^2$ |
|
| $q^2=nk^2$ |
|
| $q$ must be divisible by $n$ |
Contradiction to Statement 4 |
Generalized, Complete Proof
| Statement |
Proof |
| Suppose $^j\sqrt{n}=\frac{p}{q}$ where $p$ and $q$ are relatively prime (have no common prime factors) |
Proof by Contradiction, Definition of a rational number |
| $n=\frac{p^j}{q^j}$ |
|
| $nq^j=p^j$ |
|
| $p$ must be divisible by $n$ |
Statement 3, Statement 1 |
| There exist an integer $i$ such that $p=nk$ |
Definition of Divisibility |
| $nq^j=n^jk^j$ |
|
| $q^j=n^{j-1}k^j$ |
|
| $q$ must be divisible by $n$ |
Contradiction to Statement 4 |
Note: This proof can be extended to real and complex values!


How long to beat Pokemon Sword and Shield
Curious to know how long it will take you to beat Pokemon Sword and Shield? We've got the answer.
by Josh HawkinsIf you’ve ever played a Pokemon game, then you might be expecting to spend hours upon hours making your way through the main story in Pokemon Sword or Pokemon Shield. However, the two latest titles in the franchise are actually probably the shortest games in the core series. If you’re curious just how long it will actually take you to beat Pokemon Sword and Shield, then we can help you out. Here’s what you need to know.
How long to beat Pokemon Sword and Shield
If you’re wanting to beat Pokemon Sword or Pokemon Shield from start to finish, then you’re probably going to want to set aside anywhere from 12-20 hours. This seems to be a good middle ground for those that just want to beat the main story while also taking a little time to explore and catch some extra Pokemon.
If you’re planning on trying to catch all the Pokemon, then you’re probably going to want to set aside upwards of 50-100 hours, as there are still a good number of Pokemon out there to catch. This also doesn’t include Max Raid Battles that you can take on as well. Of course, focusing on just beating the game isn’t the best way to enjoy the latest Pokemon adventure. There are a lot of new mechanics in Pokemon Sword and Shield, and you’ll want to get acquainted with them before you dive too deeply into the main story.
Looking for more help in Pokemon Sword and Shield? Check out our guide on Evolution Stones and how to use them.
For more help in Pokemon Sword or Pokemon Shield, be sure to head back over to our Pokemon Sword and Shield hub. We’ve put together a handful of great little articles to assist you in your journey to take down the Galar region Champion.


{% extends 'base.html' %} {% block content%} create post drafts post
Created {{ post.created }}
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- 1.0a55-57
- IDEA 13 Support
- 1.0a42-54
- Intermission, go get a popcorn.
- 1.0a41
- Many fixes to path handling in the run configurations
- 1.0a40
- Improvements to completions and type inferences
- 1.0a26-39
- Bug Fixes
- 1.0a24-5
- Introduces type inference based completions. Very experimental. Large number of pending fixes, disabled by default
- 1.0a19-23
- Bug Fixes
- 1.0a18
- IDEA 11 Support (110+)
- 1.0a17
- IDEA 11 Support
- 1.0a16
- Bug Fixes
- 1.0a15
- Major performance fixes for various global variable cases
- 1.0a14
- Introduce Variable Refactoring (experimental)
- 1.0a12-3
- Bug Fixes
- 1.0a11
- Added the "suspicious global creation" and "Parameter hides implicit self" inspection
- 1.0a10
- Fix the error reporter and language console up down arrow keys to cylcle through command history
- 1.0a06-9
- Minor fixes
- 1.0a03-5
- Modules support
- 1.0a01-2
- Debugger support
- 0.9.94-5
- Misc Fixes
- 0.9.93
- Field renaming and luadoc generation for tables
- 0.9.92
- Fix renaming of parameters
- 0.9.91
- Bug fixes. Improved the unbalanced assignment handling. Doclua enhancement for Corona
- 0.9.90
- Fix Refactor|Rename not working for parameters
- 0.9.89
- Fix for PyCharm compatibility issue.
- 0.9.87-8
- Formatter fixes for comments
- 0.9.86a
- Disabled the copyright optional dependency - it was not optional for everyone
- 0.9.86
- Extremely aggressive completions as an option "Enable Additional Completions"
- 0.9.85
- Autogenerate LuaDoc function comment on ---ENTER
- 0.9.84
- LuaDoc improvements
- 0.9.83
- Copied the grooovydoc implementation for use with LuaDoc. Attempt at identifier resolution in modules. Copyright
support
- 0.9.82
- Complete revamp of the API documentation system.
- 0.9.81
- LuaDoc highlighting and folding. Bugfix for missing intention examples
- 0.9.80
- EAP 10.5 Support, Lua SDK version determined via lua.exe vs luac.exe (LuaJIT 2.0 support)
- 0.9.79
- Major parsing speed improvement. New intention for string.* function calls
- 0.9.78
- Basic language console implementation for REPL with the standard lua interpreter
- 0.9.77
- Memory usage tuning. Removed some caching
- 0.9.75-6
- New SDK implementation (You must recreate your SDK's). Added option to allow help and parameter completion for
upvalued/aliased globals
- 0.9.74
- Pluggable quickhelp API (lua based)
- 0.9.72-3
- Starter set of 4 live templates fork, fori, ift, tnil (type and press tab)
- 0.9.71
- Point Lua documenter at the lua.org docs
- 0.9.70
- Handling of "self" in completions and reference resolution
- 0.9.67-9
- Smart dedent causing trouble again. So it is disabled for now
- 0.9.66
- Undo a change which made projects non-creatable
- 0.9.65
- Don't create src directory for new projects. Try to be compatible with new Rubymine 3.1
- 0.9.64
- Change the error reporter to use YouTrack while they are offering free hosting.
- 0.9.63
- Fix for resolve, docs, and completions when the project SDK is not set, but the module sdk is.
- 0.9.62
- Fix for autopopup completions outside of a statement
- 0.9.61
- Fix for custom SDK's with compound identifiers e.g. foo.bar
- 0.9.60
- Quick and dirty self: completions
- 0.9.59
- Quickfix for unbalanced assignment, new inspection for access of array element 0
- 0.9.58
- Lightning fast, stub based identifier resolving
- 0.9.57
- Support for 3rd party library signature files, and display of parameter infos
- 0.9.53-6
- Support for 3rd party libraries via the SDK classpath, Lua quickhelp (ctrl-q) from the html lua docs
- 0.9.52
- Remove duplicate core lua completions
- 0.9.51
- Compound reference support including standard Lua functions, e.g. io.write()
- 0.9.50-Beta1-7
- Major new features, and rework of some fundamental implementations, e.g reference resolution, if your build is
marked as beta and you find bugs, you can revert to a previous version.
- 0.9.21-23
- Fix lexer errors when indexing, smart de-dent on enter
- 0.9.20
- Formatter tweaks
- 0.9.19
- Fix field highlights
- 0.9.18
- Fix TODO handling
- 0.9.17
- Disable folding for single line table constructors
- 0.9.16
- fixed lexing of hexadecimal numbers
- 0.9.14
- Performance enhancements
- 0.9.13
- safe delete (experimental)
- 0.9.12
- versioning for IntelliJ 10
- 0.9.11
- adds the rename identifier refactoring (experimental)
- 0.9.10
- Fixes an edge case where too many upvalues would cause an exception
- 0.9.8-9
- Fixes for multiple inspection annotations
- 0.9.1-7
- Additional reference issues fixed, improved performance of editor when using the identifier highlighter
- 0.9
- Most reference issues are fixed. QuickDocs
- 0.8.33
- New inspection and some bug fixes.
- 0.8.32
- fix eof parsing bug
- 0.8.31
- stop bug report submissions from generating another bug due to logging
- 0.8.30
- enable 3 new inspections. fix a major bug in the parser that was causing exceptions saying there were unparsed
tokens
- 0.8.25-9
- bug fixes
- 0.8.24
- Disable auto brace closing and remove the name validator
- 0.8.23
- more identifier fixes
- 0.8.22
- fix resolution of identifiers used in function declarations like foo:bar(), where foo would not resolve
- 0.8.21
- Adds code to try an rescue an incomplete parse
- 0.8.20
- Enable identifier highlighting by default
- 0.8.19
- Fixed many name resolution issues, improved brace handling
- 0.8.17
- Long string literal fix
- 0.8.16
- Long string literal fix
- 0.8.15
- Much improved code formatting, and editor auto-indention
- 0.8.14
- fixes for intentions, tail call marker, improved parser error recovery
- 0.8.13
- automated error submissions
- 0.8.10-12
- Many improvements to the code formatter (still considered experimental)
- 0.8.9
- Identifier highlighter, javahelp topic for lua 5.1, Kahlua execution
- 0.8.1-0.8.4
- Identifier resolution fixes
- 0.8
- Experimental reference resolution for go to declaration and find usages. Does not work for a lot of cases. Kahlua
SDK also not working
- 0.7.13-16
- Fix the unbalanced assignment inspection for the single function call case, automatically select the interpreter
from the SDK, fix structure view
- 0.7.12
- Support for Lua SDK specification
- 0.7.11
- Support for Lua Module Projects
- 0.7.10
- Fixed tail call highlighting, minor bug fixes
- 0.7.9
- Restore operation in Rubymine (tested) and other JetBrains products
- 0.7.6-0.7.8
- Bug fixes
- 0.7.5
- First inspection, global self usage
- 0.7-0.7.4
- Using internal parser, instead of external annotator.
- 0.6.5
- display key commands for Kahlua shell
- 0.6.3 - 0.6.4
- Improve annotation when using Kahlua - now it annotates semi-instantly
- 0.6.2
- Fix unresponsive annotator for syntax errors
- 0.6.1
- Bug fixes, and disabling of some unimplemented features
- 0.6
- Now using Kahlua as the built in interpreter tool, and the compiler
- 0.5.1
- Improved the script execution interface, coded mostly from the bash plugin's implementation
- 0.5.0
- Very basic script execution support. The lua interpreter needs to be on your path for this to work. Borrowed lots of
code from the bash plugin
- 0.4.3
- Removed some Java specific code
- 0.4.2
- Enabled some more experimental features, run configs, and formatting. Neither really work well at the moment
- 0.4.1
- Added application level options for syntax check type
- 0.4.0
- Using luaj to syntax check the current file. Optional luac in next release
- 0.3.0
- Using luac to syntax check the current file when luac is on the path.
- 0.2.1
- Improved parser offering better code folding for functions
- 0.2.0
- Simple block parser based code folding
- 0.1.7
- Fix to make eg. ----[[ a single long comment instead of a short comment followed by a long comment
- 0.1.6
- Fix to ignore newline after extended string start token
- 0.1.5
- Customizable coloring


Heading level 1
I'm beginning to feel like a Rap God, Rap God.  The way I'm racing around the track, call me NASCAR, NASCAR. Dale Earnhardt of the trailer park, the White Trash God. Kneel before General Zod. This planet's Krypton – no, Asgard, Asgard. I've created a monster, ‘cause nobody wants to. See Marshall no more, they want Shady, I'm chopped liver. Well, if you want Shady, this is what I'll give ya. A little bit of weed mixed with some hard liquor. Some vodka that'll jump start my heart quicker. Than a shock when I get shocked at the hospital.
I'm beginning to feel like a Rap God, Rap God.  The way I'm racing around the track, call me NASCAR, NASCAR. Dale Earnhardt of the trailer park, the White Trash God. Kneel before General Zod. This planet's Krypton – no, Asgard, Asgard. Feminist women love Eminem.  Look at him, walkin' around, grabbin' his you-know-what. Flippin' the you-know-who," "Yeah, but he's so cute though.". Yeah, I probably got a couple of screws up in my head loose. But no worse than what's goin' on in your parents' bedrooms.
Heading level 2
I'm beginning to feel like a Rap God, Rap God.  The way I'm racing around the track, call me NASCAR, NASCAR. Dale Earnhardt of the trailer park, the White Trash God. Kneel before General Zod. This planet's Krypton – no, Asgard, Asgard. I've created a monster, ‘cause nobody wants to. See Marshall no more, they want Shady, I'm chopped liver. Well, if you want Shady, this is what I'll give ya. A little bit of weed mixed with some hard liquor. Some vodka that'll jump start my heart quicker. Than a shock when I get shocked at the hospital.
I'm beginning to feel like a Rap God, Rap God.  The way I'm racing around the track, call me NASCAR, NASCAR. Dale Earnhardt of the trailer park, the White Trash God. Kneel before General Zod. This planet's Krypton – no, Asgard, Asgard. Feminist women love Eminem.  Look at him, walkin' around, grabbin' his you-know-what. Flippin' the you-know-who," "Yeah, but he's so cute though.". Yeah, I probably got a couple of screws up in my head loose. But no worse than what's goin' on in your parents' bedrooms.
Feminist women love Eminem.  Look at him, walkin' around, grabbin' his you-know-what. Flippin' the you-know-who," "Yeah, but he's so cute though."
I'm beginning to feel like a Rap God, Rap God.  The way I'm racing around the track, call me NASCAR, NASCAR. Dale Earnhardt of the trailer park, the White Trash God. Kneel before General Zod. This planet's Krypton – no, Asgard, Asgard. Feminist women love Eminem.  Look at him, walkin' around, grabbin' his you-know-what. Flippin' the you-know-who," "Yeah, but he's so cute though.". Yeah, I probably got a couple of screws up in my head loose. But no worse than what's goin' on in your parents' bedrooms.
Heading level 2
I'm beginning to feel like a Rap God, Rap God.  The way I'm racing around the track, call me NASCAR, NASCAR. Dale Earnhardt of the trailer park, the White Trash God. Kneel before General Zod. This planet's Krypton – no, Asgard, Asgard. I've created a monster, ‘cause nobody wants to. See Marshall no more, they want Shady, I'm chopped liver. Well, if you want Shady, this is what I'll give ya. A little bit of weed mixed with some hard liquor. Some vodka that'll jump start my heart quicker. Than a shock when I get shocked at the hospital.
I'm beginning to feel like a Rap God, Rap God.  The way I'm racing around the track, call me NASCAR, NASCAR. Dale Earnhardt of the trailer park, the White Trash God. Kneel before General Zod. This planet's Krypton – no, Asgard, Asgard. Feminist women love Eminem.  Look at him, walkin' around, grabbin' his you-know-what. Flippin' the you-know-who," "Yeah, but he's so cute though.". Yeah, I probably got a couple of screws up in my head loose. But no worse than what's goin' on in your parents' bedrooms.


Amazing Sushi
Chef Wang went all out and even made his own Nori from Irish seaweed. Lot's of care is put into making our sushi and that's why everyone loves it. We have the largest variety of sushi in the country.
Authentic Asian Cuisine
We source as many ingriedients locally as possible supporting Irish farmers, we are also very big on organic so all our ingriedients are grown organically. All our meat is 100% Irish. Irish ingiedients but Asian cuisine.
We go to local farmers to pickup fresh vegetables each morning, then when you order your meal they are freshly prepared for you. Everything as fresh as possible, no jokes!
See what's got half the country
making bookings a year in advance
Chef Wang went all out and even made his own Nori from Irish seaweed. Lot's of care is put into making our sushi and that's why everyone loves it. We have the largest variety of sushi in the country.
We make our own chili and soy sauce.We make lovely spring rolls that we are sure you will love! You need to try them.
When you come here you will see many Asians dining at our restaurant to get a taste of home. There is a reason you don't see them go to the local Chinese take-away and instead they come here. By the way they all agreed that we have the best kimchi in the country.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
TR-BDF2 scheme for finite difference methods. More...
#include <ql/methods/finitedifferences/trbdf2.hpp>
Public Types | |
| typedef OperatorTraits< Operator > | traits |
| typedef traits::operator_type | operator_type |
| typedef traits::array_type | array_type |
| typedef traits::bc_set | bc_set |
| typedef traits::condition_type | condition_type |
Public Member Functions | |
| TRBDF2 (const operator_type &L, const bc_set &bcs) | |
| void | step (array_type &a, Time t) |
| void | setStep (Time dt) |
TR-BDF2 scheme for finite difference methods.
See http://ssrn.com/abstract=1648878 for details.
In this implementation, the passed operator must be derived from either TimeConstantOperator or TimeDependentOperator. Also, it must implement at least the following interface:
Definition at line 73 of file trbdf2.hpp.
| typedef OperatorTraits<Operator> traits |
Definition at line 76 of file trbdf2.hpp.
| typedef traits::operator_type operator_type |
Definition at line 77 of file trbdf2.hpp.
| typedef traits::array_type array_type |
Definition at line 78 of file trbdf2.hpp.
| typedef traits::bc_set bc_set |
Definition at line 79 of file trbdf2.hpp.
| typedef traits::condition_type condition_type |
Definition at line 80 of file trbdf2.hpp.
| TRBDF2 | ( | const operator_type & | L, |
| const bc_set & | bcs | ||
| ) |
Definition at line 82 of file trbdf2.hpp.
| void step | ( | array_type & | a, |
| Time | t | ||
| ) |
Definition at line 110 of file trbdf2.hpp.
| void setStep | ( | Time | dt | ) |
Definition at line 88 of file trbdf2.hpp.
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private |
Definition at line 98 of file trbdf2.hpp.
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private |
Definition at line 99 of file trbdf2.hpp.
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private |
Definition at line 99 of file trbdf2.hpp.
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private |
Definition at line 99 of file trbdf2.hpp.
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Definition at line 100 of file trbdf2.hpp.
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Definition at line 100 of file trbdf2.hpp.
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Definition at line 100 of file trbdf2.hpp.
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Definition at line 101 of file trbdf2.hpp.
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Uses of Class
org.drip.sequence.metrics.SingleSequenceAgnosticMetrics
| Package | Description |
|---|---|
| org.drip.learning.rxtor1 |
Statistical Learning Empirical Loss Penalizer
|
| org.drip.sequence.functional |
Efron Stein Functional Supremum Bounds
|
| org.drip.sequence.metrics |
Sequence Bounds Agnostic Metrics Estimators
|
| org.drip.sequence.random |
Correlated Multi-Factor Sequence Generator
|
-
Uses of SingleSequenceAgnosticMetrics in org.drip.learning.rxtor1
Constructors in org.drip.learning.rxtor1 with parameters of type SingleSequenceAgnosticMetrics Constructor Description EmpiricalPenaltySupremumMetrics(EmpiricalPenaltySupremumEstimator epse, SingleSequenceAgnosticMetrics[] aSSAM, MeasureConcentrationExpectationBound mceb)
EmpiricalPenaltySupremumMetrics Constructor -
Uses of SingleSequenceAgnosticMetrics in org.drip.sequence.functional
Methods in org.drip.sequence.functional that return SingleSequenceAgnosticMetrics Modifier and Type Method Description SingleSequenceAgnosticMetrics
MultivariateRandom. conditionalTargetVariateMetrics(double[] adblNonTargetVariate, int iTargetVariateIndex, SingleSequenceAgnosticMetrics ssamTarget)
Compute the Target Variate Function Metrics Conditional on the specified Input Non-Target Variate Parameter SequenceSingleSequenceAgnosticMetrics
MultivariateRandom. conditionalTargetVariateMetrics(SingleSequenceAgnosticMetrics[] aSSAM, int[] aiNonTargetVariateSequenceIndex, int iTargetVariateIndex)
Compute the Target Variate Function Metrics Conditional on the specified Input Non-target Variate Parameter SequenceSingleSequenceAgnosticMetrics
MultivariateRandom. ghostTargetVariateMetrics(double[] adblNonTargetVariate, int iTargetVariateIndex, double[] adblTargetVariateGhostSample)
Compute the Target Variate Function Metrics conditional on the specified Input Non-Target Variate Parameter Sequence Off of the Target Variate Ghost Sample SequenceSingleSequenceAgnosticMetrics
MultivariateRandom. ghostTargetVariateMetrics(SingleSequenceAgnosticMetrics[] aSSAM, int[] aiNonTargetVariateSequenceIndex, int iTargetVariateIndex, double[] adblTargetVariateGhostSample)
Compute the Target Variate Function Metrics conditional on the specified Input Non-Target Variate Parameter Sequence Off of the Target Variate Ghost Sample SequenceSingleSequenceAgnosticMetrics
MultivariateRandom. ghostTargetVariateMetrics(SingleSequenceAgnosticMetrics[] aSSAM, int iTargetVariateIndex, double[] adblTargetVariateGhostSample)
Compute the Target Variate Function Metrics over the full Non-target Variate Empirical Distribution Off of the Target Variate Ghost Sample SequenceSingleSequenceAgnosticMetrics[]
EfronSteinMetrics. ghostVariateVarianceMetrics(SingleSequenceAgnosticMetrics[] aSSAMGhost)
Compute the Function Sequence Agnostic Metrics associated with the Variance of each Variate Using the Supplied Ghost Variate SequenceSingleSequenceAgnosticMetrics[]
EfronSteinMetrics. pivotedDifferenceSequenceMetrics(MultivariateRandom funcPivot)
Compute the Function Sequence Agnostic Metrics associated with each Variate around the Pivot Point provided by the Pivot FunctionSingleSequenceAgnosticMetrics[]
EfronSteinMetrics. sequenceMetrics()
Retrieve the Array of the Single Sequence Agnostic MetricsSingleSequenceAgnosticMetrics
FunctionSupremumUnivariateRandom. sequenceMetrics()
Generate the Function Metrics using the Underlying Variate DistributionSingleSequenceAgnosticMetrics
FunctionSupremumUnivariateRandom. sequenceMetrics(double[] adblVariateSequence)
Generate the Function Metrics for the specified Variate SequenceSingleSequenceAgnosticMetrics
FunctionSupremumUnivariateRandom. sequenceMetrics(double[] adblVariateSequence, double[] adblVariateWeight)
Generate the Function Metrics for the specified Variate Sequence and its corresponding WeightSingleSequenceAgnosticMetrics
IdempotentUnivariateRandom. sequenceMetrics()
Generate the Function Metrics using the Underlying Variate DistributionSingleSequenceAgnosticMetrics
IdempotentUnivariateRandom. sequenceMetrics(double[] adblVariateSequence)
Generate the Function Metrics for the specified Variate SequenceSingleSequenceAgnosticMetrics
IdempotentUnivariateRandom. sequenceMetrics(double[] adblVariateSequence, double[] adblVariateWeight)
Generate the Function Metrics for the specified Variate Sequence and its corresponding WeightSingleSequenceAgnosticMetrics[]
EfronSteinMetrics. symmetrizedDifferenceSequenceMetrics(SingleSequenceAgnosticMetrics[] aSSAMGhost)
Compute the Function Sequence Agnostic Metrics associated with each Variate using the specified Ghost Symmetric Variable CopySingleSequenceAgnosticMetrics
MultivariateRandom. unconditionalTargetVariateMetrics(SingleSequenceAgnosticMetrics[] aSSAM, int iTargetVariateIndex)
Compute the Target Variate Function Metrics over the full Non-target Variate Empirical DistributionSingleSequenceAgnosticMetrics[]
EfronSteinMetrics. variateFunctionVarianceMetrics()
Compute the Function Sequence Agnostic Metrics associated with the Variance of each VariateMethods in org.drip.sequence.functional with parameters of type SingleSequenceAgnosticMetrics Modifier and Type Method Description SingleSequenceAgnosticMetrics
MultivariateRandom. conditionalTargetVariateMetrics(double[] adblNonTargetVariate, int iTargetVariateIndex, SingleSequenceAgnosticMetrics ssamTarget)
Compute the Target Variate Function Metrics Conditional on the specified Input Non-Target Variate Parameter SequenceSingleSequenceAgnosticMetrics
MultivariateRandom. conditionalTargetVariateMetrics(SingleSequenceAgnosticMetrics[] aSSAM, int[] aiNonTargetVariateSequenceIndex, int iTargetVariateIndex)
Compute the Target Variate Function Metrics Conditional on the specified Input Non-target Variate Parameter Sequencedouble
EfronSteinMetrics. efronSteinSteeleBound(SingleSequenceAgnosticMetrics[] aSSAMGhost)
Compute the Efron-Stein-Steele Variance Upper Bound using the Ghost VariablesSingleSequenceAgnosticMetrics
MultivariateRandom. ghostTargetVariateMetrics(SingleSequenceAgnosticMetrics[] aSSAM, int[] aiNonTargetVariateSequenceIndex, int iTargetVariateIndex, double[] adblTargetVariateGhostSample)
Compute the Target Variate Function Metrics conditional on the specified Input Non-Target Variate Parameter Sequence Off of the Target Variate Ghost Sample SequenceSingleSequenceAgnosticMetrics
MultivariateRandom. ghostTargetVariateMetrics(SingleSequenceAgnosticMetrics[] aSSAM, int iTargetVariateIndex, double[] adblTargetVariateGhostSample)
Compute the Target Variate Function Metrics over the full Non-target Variate Empirical Distribution Off of the Target Variate Ghost Sample Sequencedouble
EfronSteinMetrics. ghostVarianceUpperBound(SingleSequenceAgnosticMetrics[] aSSAMGhost)
Compute the Variance Upper Bound using the Ghost VariablesSingleSequenceAgnosticMetrics[]
EfronSteinMetrics. ghostVariateVarianceMetrics(SingleSequenceAgnosticMetrics[] aSSAMGhost)
Compute the Function Sequence Agnostic Metrics associated with the Variance of each Variate Using the Supplied Ghost Variate SequenceSingleSequenceAgnosticMetrics[]
EfronSteinMetrics. symmetrizedDifferenceSequenceMetrics(SingleSequenceAgnosticMetrics[] aSSAMGhost)
Compute the Function Sequence Agnostic Metrics associated with each Variate using the specified Ghost Symmetric Variable CopySingleSequenceAgnosticMetrics
MultivariateRandom. unconditionalTargetVariateMetrics(SingleSequenceAgnosticMetrics[] aSSAM, int iTargetVariateIndex)
Compute the Target Variate Function Metrics over the full Non-target Variate Empirical Distributiondouble[][]
EfronSteinMetrics. variateSequence(SingleSequenceAgnosticMetrics[] aSSAM)
Extract the Full Variate Array SequenceConstructors in org.drip.sequence.functional with parameters of type SingleSequenceAgnosticMetrics Constructor Description EfronSteinMetrics(MultivariateRandom func, SingleSequenceAgnosticMetrics[] aSSAM)
EfronSteinMetrics Constructor -
Uses of SingleSequenceAgnosticMetrics in org.drip.sequence.metrics
Subclasses of SingleSequenceAgnosticMetrics in org.drip.sequence.metrics Modifier and Type Class Description class
BoundedSequenceAgnosticMetrics
BoundedSequenceAgnosticMetrics contains the Sample Distribution Metrics and Agnostic Bounds related to the specified Bounded Sequence.class
IntegerSequenceAgnosticMetrics
IntegerSequenceAgnosticMetrics contains the Sample Distribution Metrics and Agnostic Bounds related to the specified Integer Sequence.class
PoissonSequenceAgnosticMetrics
PoissonSequenceAgnosticMetrics contains the Sample Distribution Metrics and Agnostic Bounds related to the specified Poisson Sequence.class
UnitSequenceAgnosticMetrics
UnitSequenceAgnosticMetrics contains the Sample Distribution Metrics and Agnostic Bounds related to the specified Bounded [0, 1] Sequence.Methods in org.drip.sequence.metrics that return SingleSequenceAgnosticMetrics Modifier and Type Method Description SingleSequenceAgnosticMetrics[]
DualSequenceAgnosticMetrics. components()
Retrieve the Array of the Component Single SequencesSingleSequenceAgnosticMetrics
SingleSequenceAgnosticMetrics. functionSequenceMetrics(R1ToR1 au)
Generate the Metrics for the Univariate Function SequenceConstructors in org.drip.sequence.metrics with parameters of type SingleSequenceAgnosticMetrics Constructor Description DualSequenceAgnosticMetrics(SingleSequenceAgnosticMetrics ssam1, SingleSequenceAgnosticMetrics ssam2)
DualSequenceAgnosticMetrics Constructor -
Uses of SingleSequenceAgnosticMetrics in org.drip.sequence.random
Methods in org.drip.sequence.random that return SingleSequenceAgnosticMetrics Modifier and Type Method Description SingleSequenceAgnosticMetrics
Bounded. sequence(int iNumEntry, R1Univariate distPopulation)
SingleSequenceAgnosticMetrics
BoundedUniformInteger. sequence(int iNumEntry, R1Univariate distPopulation)
SingleSequenceAgnosticMetrics
Poisson. sequence(int iNumEntry, R1Univariate distPopulation)
SingleSequenceAgnosticMetrics
UnivariateSequenceGenerator. sequence(int iNumEntry, R1Univariate distPopulation)
Generate a Random Sequence along with its Metrics


--- Format ---
Density, Symmetry, Color
Constants
Linear, Sinusoidal, Spherical, Swirl, Horseshoe, Polar, Folded, Heart, Disc, Spiral, Hyperbolic, Square, Ex, Fan, Bent, Waves, Fisheye, Popcorn
Z Translate, Z Scale, Blur3D, Z Blur, Z Cone, Bubble, Julia3D, Curl3D, PreBlur
|
- Right-click to hide the options.
- Shift-click to change the color palette
- Drag to zoom
- Middle click to advance the function class
- Shift-Right click to add symmetry
- Ctrl-middle click for a random fractal
- Ctrl-right click to randomize the coefficients, giving a similar fractal to the current one


{# flatpages/about.html #} {% extends "page_base.html" %} {% block title %}About the Project{% endblock %} {% block page_title %}About the Project{% endblock page_title %} {% block content %}
There has been a great deal of interest in how capital has intervened in almost every area of life, leading some to propose new forms of capital e.g. ‘emotional capitalism’, and others to suggest that processes of valuation are now the major method for understanding the social world. Whilst, no doubt, capital behaves according to its own logic, finding new lines of flight, converting affects into value, making multi-culturalism marketable, generating new forms of bio-capital, and making many of our actions subject to the logic of calculation, this project asks if anything is left behind. Is there anything that cannot be capitalized upon? Many social theories reproduce the logic of capital. But if we only understand the world from the perspective of this logic what do we miss seeing? Our previous research projects have drawn attention to how values are formed beyond value, unnoticed and unseen, producing new ways of being and doing in the world, organized differently through spatial and temporal co-ordinates. This project consolidates and expands this analysis by exploring values (and their relationship to value) through two limit cases that attempt to convert all values to value: modern digital relations and traditional prosperity theology.
We are interested in what happens when economic value is accumulated from spheres previously considered non-economic, and the distortions and alterations in both economic and non-economic values this process creates. For instance, Facebook makes considerable economic gain from commodifying friendship through the algorithmic conversion of 'likes' into advertising sales. Does this process reconfigure the value of friendship? What happens to values such as loyalty and care in this conversion? Do friends capitalise upon their own value, such as generating authority from 'like' conversion?
Digital friendliness is conducted through rhythms of interaction driven by algorithms that artificially stimulate the intensity of exchange. Within this, affect is differently (digitally) co-present and authority is dispersed. Yet the encounter (technically and textually mediated by the design of the site) can be powerfully affective - people can be outraged and hurt by their digital encounters. What happens when everything they 'like' is ignored - attributed with no relational value? Value may be momentarily lost through one wrong sentence - but is this sustained over time? Is their person-value diminished or left intact?
{% endblock %}


303 See Other - This status indicates that the redirects don't link to the requested resource itself, but to another page (such as a confirmation page, a representation of a real-world object or an upload-progress page). This response code is often sent back as a result of PUT or POST. The method used to display this redirected page is always GET.


Planning Home | Board of Zoning Appeals | Booard of Building Standards The Board of Building Standards and Building Appeals is a 5-member body responsible for hearing appeals from any order, requirement, decision, or determination of the Commissioner of Building and Housing, or any other administrative official or agency of the City, relating to the location, design, materials, construction, alteration, repair, equipment, use or occupancy, maintenance, removal or demolition of any building or other structure, or appurtenance connected or attached to such buildings or structures, regulated by the Building Code of the City of Cleveland. |
|||||||||||||||||
Download Agendas Please note: All files are in the Adobe Acrobat format.
**SPECIAL NOTICE**Download an Application to Appeal here (PDF).  FEE SCHEDULE
CHECKS SHALL BE MADE PAYABLE TO THE CITY OF CLEVELAND For questions, comments or concerns you can email us at<EMAIL_ADDRESS>What are the Board of Building Standards and Building Appeals Business Hours? The Board of Building Standards and Building Appeals business hours are from 7:00am - 4:00pm Monday through Friday. Is there anything I should do before I file my appeal? Yes. There may be a way for you to change your plans or your proposal so that it meets the City's code and may not require action by the Board of Building Standards and Building Appeals. Also, it is possible that the problem is a lack of complete information or the need for better communication between you and City staff. Therefore, before you file an appeal, take the opportunity to talk to City staff about any way to resolve the matter without spending the time going through the appeals process. When will my hearing be held? The Board of Building Standards and Building Appeals meets every other week on Wednesday mornings in Room 514 on the 5th Floor of Cleveland City Hall. You will be sent a notice in the mail 10 days before your scheduled date, stating the date and time of your hearing. It is important that you list your proper mailing address on your application.
It is important that you arrive promptly for your hearing at the time listed on the notice you receive in the mail. However, please understand that more than one case is scheduled for the same day, so you may have to wait while other cases are heard. Do I have to be present at the hearing? The person filing the appeal (the appellant) is expected to appear at the hearing, in person. The appellant is typically the owner of record of the property. If you cannot appear, you may submit a letter to the Board authorizing an appropriate authority to act on your behalf. Your representative must be authorized to bind you or your organization to the decision of the Board. Your representative must also be familiar with the subject of the appeal and the current conditions and operations of any business associated with the appeal. What if I need to postpone my hearing? Once your case has been scheduled, you may request a postponement if necessary, five days after the receipt of your notice to appear. Generally, the Board will not grant more than one postponement. If the Board approves my appeal, how will I receive my resolution? Any action taken by the Board on your case will be finalized at the next meeting, when the Board votes to adopt resolutions of the previous meeting. Your resolution will be sent to you by certified mail ten days after your original hearing date. What happens if the Board denies my appeal? If your appeal is denied, you may file an appeal with the Court of Common Pleas within ten days of your denial. If you have any questions, please feel free to contact the Board of Building Standards and Building Appeals staff. City Hall Room 516
601 Lakeside Ave. Cleveland, OH 44114<PHONE_NUMBER> •<PHONE_NUMBER> (fax) Email<EMAIL_ADDRESS>Commission Members
|


{% extends "base.html" %} {% block title %}Create an Encrypted Paste{% endblock %} {% block body %}
Cryptbin is a pastebin that does all encryption and decryption on the client side using a JavaScript one-time pad implementation.


---
layout: post
title: Counting in Ruby Revisited - Benchmarked
date: '2013-01-03T20:04:00.000+01:00'
author: Morten
tags:
- Programming
- source code
- Ruby
modified_time: '2014-12-10T14:12:50.012+01:00'
blogger_id: tag:blogger.com,1999:blog-6967032375013519080.post-8134443713982188995
blogger_orig_url: https://m635j520.blogspot.com/2013/01/counting-in-ruby-revisited-benchmarked.html
---
After writing the post a while back on counting in Ruby I wondered if the two different implementations I outlined had similar runtimes. Inspired by this post by makaroni4 I went ahead and wrote the following little "benchmarker":


Sage sources can be downloaded from github using:
git clone --recurse-submodules https://<git-user-name>/igorfrance/Sage.git ./sage
Make sure to clone the submodules too, by using the --recurse-submodules
option.
The latest ready-to-run Sage binaries can be downloaded from the Team City build server on Cycle 99:
- sage.zip
- The latest successful build of Sage, packed together with all its dependencies. This is the main sage deliverable.
- sage.documentation.zip
-
The documentation website, same as the website currently being watched.
- sage.extensions.zip
- Sage extensions in use by the documentation website.


Travlendar
Sign In
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Set User Preferences
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Error Message goes here
Choose your Travel Options
Options
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Set Display Preference
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| This page
displays grayscale
colors for the RGB
color model, which is an additive
color model.
|
Achromatic Grays Formed with equal RGB values.
|
Off-Grays Whose red, green, and blue color codes are
not exactly equal.
|
Cool Grays Colors that are noticeably blueish gray,
grayish cyan, greenish gray, or violetish gray.
|
Warm Grays Colors that are noticeably brownish,
pinkish grays, or reddish purple grays.
|
|


4 March 2017. I checked out NPR's code to see if they used HTML5 to markup their articles — since they were pioneers in the COPE model (an approach that makes an incredible amount of sense to me).
Main Tag
I read on stackexchange that you still need to use an ARIA label — main aria-label="main content" with the main tag. Some technology hasn't caught up with HTML5 yet. http://w3c.github.io/aria-in-html/


Donate to pandas
pandas is and always will be free. To make de development sustainable, we need pandas users, corporate or individual, to support the development by providing their time and money.
You can find more information about current developers and supporters in the team page. Financial contributions will mainly be used to advance in the pandas roadmap.
- If your company or organization is interested in helping make pandas better, please contact us at<EMAIL_ADDRESS>- If you want to contribute to pandas with your time, please visit the contributing page
- If you want to support pandas with a donation, please use the form below:
pandas is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides pandas with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information.
Donations to pandas are managed by NumFOCUS. For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax adviser about your particular tax situation.


{%extends 'layout.html' %} {% block body %} {% if len(projects) == 0 %}
You don't have any projects :(
Fix That


1. Water Data Explorer (WDE)¶
1.1. Introduction¶
In recent years, there has been a growing recognition of the need for standardized ways of sharing water data on the web. In response to this need, the Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) Hydrologic Information System (HIS) has been developed along with the standardized WaterOneFlow web services and WaterML data exchange format. To access data that are shared using the WaterOneFlow services and WaterML format, the already developed tools exist such as the Microsoft Windows HydroDesktop software (link), the WaterML R package(link), and the web-based CUAHSI HydroClient (link) which serves as an access point to the CUAHSI HIS database.
Water Data Explorer (WDE) is a newly developed web-based tool allowing a broad range of users to discover, access, visualize, and download data from any Information System that makes available water data in WaterML format through WaterOneFlow services. WDE is designed in a way that allows users to customize it for local or regional web portals.
1.2. WDE Overview¶
WDE is an open-source web application providing users with the functionalities of data discovery, data access, data visualization, and data downloading from any Information System that makes available water data in WaterML format through WaterOneFlow web services. WDE can be installed by any organization and will occupy minimal server space.
1.2.1. User Interface¶
To organize and manage various WaterOneFlow web services, WDE uses Data Views that are organized in Catalogs.
Each Data View contains a set of data that is accessible through a specific WaterOneFlow web service.
The stations for which data are accessible through a specific Data View are displayed on the WDE map interface along with a legend of the respective Data Views.
For each Station/Platform, a set of metadata is available in the Graphs Panel of the WDE User Interface. Also, for each Station/Platform, the table of observed variables is available and includes variable names, units, and interpolation types.
Station/Platform time series data can be plotted as “Scatter” or “Whisker and Box” plots, and be downloaded in CSV, OGC NetCDF (CF conventions), OGC WaterML 2.0 and CUAHSI WaterML 1.0 formats for any available time period of interest in the Time Series Plots section.
1.2.2. Developers¶
WDE has been developed by Elkin Giovanni Romero Bustamante at the Hydroinformatics laboratory at BYU. The Hydroinformatics laboratory focuses on delivering different software products and services for water modeling. Some of the most important works include: Global streamflow Forecast Services API, creation of the Tethys Platform, and Hydroserver Lite. The most recent publications and works can be found on the official BYU Hydroinformatics website.
1.2.3. Source Code¶
- The WDE source code is available on Github:


Hello my name is Javie Jimenez! Yes, the guy you see in this picture. I grew up in a small city, and I'm a super chill person


Networking acronyms and abbreviations
A ...
B ...
C ...
D ...
E ...
F ...
G ...
H ...
I ...
J ...
K ...
L ...
M ...
N ...
O ...
P ...
Q ...
R ...
S ...
T ...
U ...
V ...
W ...
X ...
Y ...
Z
A
- AAL
- asynchronous transfer mode adaption layer
- ABR
- available bit rate
- ACK
- acknowledgement
- ACM
- Association for Computing Machinery
- ADSL
- asymmetric digital subscriber line
- ADSU
- asynchronous transfer mode data service unit
- AF
- assured forwarding
- AH
- authentication header
- AIFF
- Audio Interchange File Format
- AIMD
- additive-increase, multiplicative-decrease
- ALF
- application-level framing
- AM
- amplitude modulation
- ANSI
- American National Standards Institute
- AP
- access point
- API
- application programming interface
- APNIC
- Asia Pacific Network Information Center
- ARIN
- American Registry for Internet Numbers
- ARP
- Address Resolution Protocol
- ARPA
- Advanced Research Projects Agency
- ARQ
- automatic repeat request
- AS
- autonomous system
- ASCII
- American Standard Code for Information Interchange
- ASN
- abstract syntax notation
- ATM
- asynchronous transfer mode
- AWT
- abstract window toolkit
B
- BBN
- Bolt, Beranek, and Newman, Inc.
- BER
- Basic Encoding Rule
- BEUI
- basic input/output system extended user interface
- BGP
- Border Gateway Protocol
- BIND
- Berkeley Internet Name Domain
- BSS
- basic service set
- BUS
- broadcast and unknown service
C
- CA
- certification authority
- CA
- collision avoidance
- CAM
- content-addressible memory
- CARP
- Cache Array Routing Protocol
- CBC
- cipher block chaining
- CBR
- constant bit rate
- CBT
- core-based trees
- CD
- collision detection
- CDMA
- code division multiple access
- CDPD
- cellular digital packet data
- CDT
- cell-transfer delay
- CDV
- cell-delay variation
- CERN
- European Organization for Nuclear Research
- CGI
- Common Gateway Interface
- CGM
- Computer Graphics Metafile
- CI
- congestion indication
- CIDR
- classless interdomain routing
- CIF
- Common Intermediate Format
- CIR
- committed information rate
- CLNP
- Connectionless Network Protocol
- CLP
- cell-loss priority
- CLR
- cell-loss rate
- CM
- continuous media
- CMIP
- Common Management Information Protocol
- CMISE
- Common Management Information Service Element
- CNAME
- canonical name
- CORBA
- Common Object Request Broker Architecture
- CPCS
- common part convergence sublayer
- CRC
- cyclic redundancy check
- CSMA
- carrier sense multiple access
- CSS
- cascading style sheets
- CTI
- computer-telephone integration
- CTS
- clear to send
- CU
- currently unused
D
- DARPA
- Defense Advanced Research Projects Agency
- DCA
- Document Content Architecture
- DCE
- Distributed Computing Environment
- DDCMP
- Digital Data Communication Message Protocol
- DES
- Data Encryption Standard
- DH
- Diffie-Hellman
- DHCP
- Dynamic Host Configuration Protocol
- DIFS
- distributed inter-frame space
- DMA
- direct memory access
- DNS
- Domain Name System
- DS
- distribution system
- DSCP
- differentiated service code point
- DSP
- digital signal processing
- DTD
- document type definition
- DV
- distance vector
- DVD
- digital video disk
- DVI
- device-independent
- DVMRP
- Distance Vector Multicast Routing Protocol
E
- EBGP
- External Border Gateway Protocol
- EF
- expedited forwarding
- EFCI
- explicit forward congestion indication
- EFF
- Electronic Frontier Foundation
- EGP
- Exterior Gateway Protocol
- EIGRP
- Enhanced Interior Gateway Routing Protocol
- ER
- explicit rate
- ESP
- Encapsulation Security Payload
- EWMA
- estimated weighted moving average
F
- FCFS
- first come, first served
- FDDI
- fiber distributed data interface
- FDM
- frequency-division multiplexing
- FEC
- forward error correction
- FIFO
- first in, first out
- FIN
- finished
- FITS
- Flexible Image Transport System
- FM
- frequency modulation
- FSM
- finite-state machine
- FSP
- File Service Protocol
- FTP
- File Transfer Protocol
G
- GBN
- go back n
- GIF
- Graphical Interchange Format
- GMS
- Global Mobile System
- GSM
- Global System for Mobile
- GUI
- graphical user interface
H
- HDLC
- high-level data link control
- HEC
- header error checksum
- HFC
- hybrid fiber coaxial cable
- HMAC
- keyed-hash message authentication code
- HOL
- head of the line
- HTML
- Hypertext Markup Language
- HTTP
- Hypertext Transfer Protocol
- HTTPS
- Hypertext Transfer Protocol Secure
I
- IAB
- Internet Architecture Board
- IANA
- Internet Assigned Numbers Authority
- IBGP
- Internal Border Gateway Protocol
- ICANN
- Internet Corporation for Assigned Names and Numbers
- ICMP
- Internet Control Message Protocol
- ICP
- Internet Caching Protocol
- IDEA
- International Data Encryption Algorithm
- IDL
- interface definition language
- IDRP
- Inter-Domain Routing Protocol
- IDSU
- Intelligent Data Service Unit
- IEEE
- Institute of Electrical and Electronic Engineers
- IESG
- Internet Engineering Steering Group
- IETF
- Internet Engineering Task Force
- IGES
- Initial Graphics Exchange Specification
- IGMP
- Internet Group Management Protocol
- IKE
- Internet Key Exchange
- IMAP
- Internet Message Access Protocol
- IMP
- interface message processor
- IP
- Internet Protocol
- IPCP
- Internet Protocol Control Protocol
- IPX
- Internetwork Packet Exchange
- IRTF
- Internet Research Task Force
- ISDN
- Integrated Services Digital Network
- ISKMP
- Internet Security Association and Key Management Protocol
- ISO
- International Standards Organization
- ISP
- Internet service provider
- ITU
- International Telecommunication Union
- ITU-T
- International Telecommunication Standardization Sector
J
- JAF
- JavaBeans Activation Framework
- JAR
- Java archive
- JCE
- Java Cryptography Extension
- JDBC
- Java database connectivity
- JDK
- Java Development Kit
- JIT
- just in time
- JNDI
- Java Naming and Directory Interface
- JPEG
- Joint Photographic Exchange Group
- JRE
- Java Runtime Environment
- JSSE
- Java Secure Sockets Extension
K
- KDC
- key distribution center
L
- LAN
- local-area network
- LANE
- local-area network emulation
- LCP
- Link Control Protocol
- LDAP
- Lightweight Directory Access Protocol
- LES
- local-area network emulation server
- LLP
- least-loaded path
- LS
- link state
M
- MAC
- media access control
- MACA
- multiple access with collision avoidance
- MACAW
- multiple access with collision avoidance for wireless
- MAE
- metropolitan area exchange
- MAN
- metropolitan area network
- MBONE
- Multicast Backbone
- MCR
- minimum cell transmission rate
- MD
- message digest
- MFC
- maximum free circuit
- MH
- Mail Handler
- MIB
- management information base
- MIC
- message integrity code
- MIDI
- Musical Instrument Digital Interface
- MIME
- Multipurpose Internet Mail Extensions
- MOSPF
- multicast open shortest path first
- MOTO
- mail order and telephone order
- MPEG
- Moving Picture Experts Group
- MPLS
- Multiprotocol Label Switching
- MSAU
- multistation access unit
- MSS
- maximum segment size
- MTU
- maximum transmission unit
- MX
- mail exchanger
N
- NAK
- negative acknowledgement
- NAP
- network access point
- NAT
- network address translation
- NAV
- network allocation vector
- NCP
- Network Control Protocol
- NCSA
- National Center for Supercomputing Applications
- NDR
- Network Data Representation
- NFS
- Network File System
- NI
- no increase
- NIC
- network interface card
- NIST
- National Institute of Standards and Technology
- NLANR
- National Laboratory for Applied Network Research
- NNTP
- Network News Transfer Protocol
- NOC
- network operations center
- NPL
- National Physical Laboratory
- NRZ
- non-return to zero
- NRZI
- non-return to zero inverted
- NS
- name server
- NSF
- National Science Foundation
- NSP
- national service provider
- NTP
- Network Time Protocol
- NV
- Network Video
- NVT
- network virtual terminal
O
- OC
- optical carrier
- OI
- order information
- ONC
- Open Network Computing
- OSF
- Open Software Foundation
- OSI
- open systems interconnection
- OSPF
- open shortest path first
P
- PAWS
- protection against wrapped sequence numbers
- PBX
- private branch exchange
- PC
- personal computer
- PCM
- pulse code modulation
- PCMCIA
- Personal Computer Memory Card International Association
- PCR
- peak cell rate
- PCS
- Personal Communication Services
- PDF
- Portable Document Format
- PDU
- protocol data unit
- PEM
- privacy-enhanced mail
- PGP
- Pretty Good Privacy
- PHB
- per-hop behavior
- PI
- purchase instructions
- PICS
- Platform for Internet Content Selection
- PIM
- Protocol-Independent Multicast
- PIN
- personal identification number
- PIO
- programmed input/output
- PMD
- physical-medium-dependent
- PNG
- Portable Network Graphics
- POP
- Post Office Protocol
- POTS
- plain old telephone system
- PPP
- point-to-point protocol
- PSH
- push (pass to upper layer)
- PT
- payload type
- PVC
- permanent virtual circuit
Q
- QCIF
- Quarter Common Intermediate Format
- QOS
- quality of service
R
- RAM
- random-access memory
- RAS
- registration admission status
- RBOC
- regional Bell operating company
- RED
- random early detection
- RFC
- request for comments
- RFT
- richly formatted text
- RIO
- random early detection with in and out
- RIP
- Routing Information Protocol
- RM
- resource management
- RMF
- Rich Music Format
- RMI
- remote method invocation
- RPC
- remote procedure call
- RPF
- reverse path forwarding
- RR
- resource records
- RSA
- Rivest, Shamir, and Adleman
- RSVP
- Resource Reservation Setup Protocol
- RTCP
- Real-Time Control Protocol
- RTF
- rich text format
- RTP
- Real-Time Protocol
- RTS
- request to send
- RTSP
- Real-Time Streaming Protocol
- RTT
- round-trip time
S
- SA
- security agreement
- SAN
- system area network
- SAR
- segmentation and reassembly
- SDH
- synchronous digital hierarchy
- SDK
- software development kit
- SEAL
- Simple and Efficient Adaptation Layer
- SET
- secure electronic transactions
- SGML
- Standard Generalized Markup Language
- SGMP
- Simple Gateway Monitoring Protocol
- SHA
- Secure Hash Algorithm
- SIFS
- short inter-frame spacing
- SIGCOMM
- ACM Special Interest Group in Data Communications
- SJIS
- Shift Japanese Industrial Standard
- SLA
- service-level agreement
- SMDS
- Switched Multimegabit Data Service
- SMI
- Structure of Management Information
- SMTP
- Simple Mail Transfer Protocol
- SNA
- Systems Network Architecture
- SNMP
- Simple Network Management Protocol
- SOAP
- Simple Object Access Protocol
- SONET
- synchronous optical network
- SPF
- shortest path first
- SQL
- structured query language
- SR
- selective repeat
- SSL
- Secure Sockets Layer
- SSRC
- synchronization source identifier
- STD
- standard
- STS
- Synchronous Transport Signal
- SVC
- switched virtual circuit
- SYN
- synchronize
T
- TC
- transmission convergence
- TCP
- Transmission Control Protocol
- TDM
- time-division multiplexing
- TFTP
- Trivial File Transfer Protocol
- TIFF
- Tagged Image File Format
- TINA
- Telecommunications Information Networking Architecture
- TLS
- transport layer security
- TLV
- type, length, value
- TMN
- Telecommunications Management Network
- TOS
- type of service
- TTL
- time to live
U
- UBR
- unspecified bit rate
- UCS
- Universal Character Set
- UDP
- User Datagram Protocol
- URG
- urgent
- URI
- Uniform Resource Identifier
- URL
- Uniform Resource Locator
- URN
- Uniform Resource Name
- UTF
- University Character Set Transformation Format
- UTP
- unshielded twisted pair
V
- VBR
- variable bit rate
- VC
- virtual circuit
- VCI
- virtual channel identifier
- VM
- virtual machine
- VPI
- virtual path identifier
- VPN
- virtual private network
- VRML
- Virtual Reality Modeling Language
W
- W3C
- World Wide Web Consortium
- WAN
- wide-area network
- WAV
- waveform
- WFQ
- weighted fair queuing
- WSA
- Windows Socket Architecture
- WWW
- World Wide Web
X
- XBM
- X Windows bitmap
- XDR
- External Data Representation
- XML
- Extensible Markup Language
- XNS
- Xerox Network Systems
- XTP
- Xpress Transport Protocol
Y
Z
This document is available on the World Wide Web as
http://www.cs.grinnell.edu/~stone/courses/networks/acronyms.xhtml
created January 15, 2002
last revised January 21, 2002
John David Stone (stone@cs.grinnell.edu)


ICA is fit to MEG raw data. We assume that the non-stationary EOG artifacts have already been removed. The sources matching the ECG are automatically found and displayed.
Note that this example does quite a bit of processing, so even on a fast machine it can take about a minute to complete.
# Authors: Denis Engemann<EMAIL_ADDRESS>#
# License: BSD (3-clause)
import mne
from mne.preprocessing import ICA, create_ecg_epochs
from mne.datasets import sample
print(__doc__)
Read and preprocess the data. Preprocessing consists of:
data_path = sample.data_path()
raw_fname = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif'
raw = mne.io.read_raw_fif(raw_fname, preload=True)
raw.pick_types(meg=True, eeg=False, exclude='bads', stim=True)
raw.filter(1, 30, method='iir')
# longer + more epochs for more artifact exposure
events = mne.find_events(raw, stim_channel='STI 014')
epochs = mne.Epochs(raw, events, event_id=None, tmin=-0.2, tmax=0.5)
Out:
Opening raw data file /home/ubuntu/mne_data/MNE-sample-data/MEG/sample/sample_audvis_filt-0-40_raw.fif...
Read a total of 4 projection items:
PCA-v1 (1 x 102) idle
PCA-v2 (1 x 102) idle
PCA-v3 (1 x 102) idle
Average EEG reference (1 x 60) idle
Range : 6450 ... 48149 = 42.956 ... 320.665 secs
Ready.
Current compensation grade : 0
add_eeg_ref defaults to True in 0.13, will default to False in 0.14, and will be removed in 0.15. We recommend to use add_eeg_ref=False and set_eeg_reference() instead.
Reading 0 ... 41699 = 0.000 ... 277.709 secs...
Band-pass filtering from 1 - 30 Hz
319 events found
Events id: [ 1 2 3 4 5 32]
319 matching events found
Applying baseline correction (mode: mean)
Created an SSP operator (subspace dimension = 3)
4 projection items activated
Fit ICA model using the FastICA algorithm, detect and plot components explaining ECG artifacts.
ica = ICA(n_components=0.95, method='fastica').fit(epochs)
ecg_epochs = create_ecg_epochs(raw, tmin=-.5, tmax=.5)
ecg_inds, scores = ica.find_bads_ecg(ecg_epochs)
ica.plot_components(ecg_inds)
Out:
Fitting ICA to data using 305 channels.
Please be patient, this may take some time
Inferring max_pca_components from picks.
Loading data for 319 events and 106 original time points ...
0 bad epochs dropped
Selection by explained variance: 120 components
Loading data for 319 events and 106 original time points ...
Reconstructing ECG signal from Magnetometers
Band-pass filtering from 8 - 16 Hz
Number of ECG events detected : 284 (average pulse 61 / min.)
Creating RawArray with float64 data, n_channels=1, n_times=41700
Range : 0 ... 41699 = 0.000 ... 277.709 secs
Ready.
284 matching events found
No baseline correction applied
Created an SSP operator (subspace dimension = 3)
Loading data for 284 events and 151 original time points ...
0 bad epochs dropped
Plot properties of ECG components:
ica.plot_properties(epochs, picks=ecg_inds)
Out:
Loading data for 319 events and 106 original time points ...
Total running time of the script: ( 1 minutes 21.660 seconds)


QItemEditorFactory Class
The QItemEditorFactory class provides widgets for editing item data in views and delegates. More...
| Header: | #include <QItemEditorFactory> |
| qmake: | QT += widgets |
| Since: | Qt 4.2 |
Public Functions
| QItemEditorFactory() | |
| virtual | ~QItemEditorFactory() |
| virtual QWidget * | createEditor(int userType, QWidget *parent) const |
| void | registerEditor(int userType, QItemEditorCreatorBase *creator) |
| virtual QByteArray | valuePropertyName(int userType) const |
Static Public Members
| const QItemEditorFactory * | defaultFactory() |
| void | setDefaultFactory(QItemEditorFactory *factory) |
Detailed Description
The QItemEditorFactory class provides widgets for editing item data in views and delegates.
When editing data in an item view, editors are created and displayed by a delegate. QItemDelegate, which is the delegate by default installed on Qt's item views, uses a QItemEditorFactory to create editors for it. A default unique instance provided by QItemEditorFactory is used by all item delegates. If you set a new default factory with setDefaultFactory(), the new factory will be used by existing and new delegates.
A factory keeps a collection of QItemEditorCreatorBase instances, which are specialized editors that produce editors for one particular QVariant data type (All Qt models store their data in QVariants).
Standard Editing Widgets
The standard factory implementation provides editors for a variety of data types. These are created whenever a delegate needs to provide an editor for data supplied by a model. The following table shows the relationship between types and the standard editors provided.
| Type | Editor Widget |
|---|---|
| bool | QComboBox |
| double | QDoubleSpinBox |
| int | QSpinBox |
| unsigned int | |
| QDate | QDateEdit |
| QDateTime | QDateTimeEdit |
| QPixmap | QLabel |
| QString | QLineEdit |
| QTime | QTimeEdit |
Additional editors can be registered with the registerEditor() function.
See also QItemDelegate, Model/View Programming, and Color Editor Factory Example.
Member Function Documentation
QItemEditorFactory::QItemEditorFactory()
Constructs a new item editor factory.
[virtual]
QItemEditorFactory::~QItemEditorFactory()
Destroys the item editor factory.
[virtual]
QWidget *QItemEditorFactory::createEditor(int userType, QWidget *parent) const
Creates an editor widget with the given parent for the specified userType of data, and returns it as a QWidget.
See also registerEditor().
[static]
const QItemEditorFactory *QItemEditorFactory::defaultFactory()
Returns the default item editor factory.
See also setDefaultFactory().
void QItemEditorFactory::registerEditor(int userType, QItemEditorCreatorBase *creator)
Registers an item editor creator specified by creator for the given userType of data.
Note: The factory takes ownership of the item editor creator and will destroy it if a new creator for the same type is registered later.
See also createEditor().
[static]
void QItemEditorFactory::setDefaultFactory(QItemEditorFactory *factory)
Sets the default item editor factory to the given factory. Both new and existing delegates will use the new factory.
See also defaultFactory().
[virtual]
QByteArray QItemEditorFactory::valuePropertyName(int userType) const
Returns the property name used to access data for the given userType of data.


Key: = Must support, = QICore-defined extension, = Is-Modifier
| Field | Card. | Type and Description |
|---|---|---|
| abstract |
0..1
|
Boolean
|
| code |
0..1
|
code
|
| contains |
0..*
|
Element
|
| display |
0..1
|
String
|
| id |
0..1
|
String
|
| system |
0..1
|
Uri
|
| version |
0..1
|
String
|
Key: = Must support, = QICore-defined extension, = Is-Modifier


In order to compute the d-skeletons of a n-dimensional cuboidal “grid” complex, with 0 ≤ d ≤ n, let us start by remarking a similarity with the generation of the boolean representation of numbers between 0 and 2n - 1, generated as a list of strings by the binaryPowerRange function, given in Section 3.2.1.
The binary representationn of such numbers are in fact filtered according to the number of their ones in Section 3.2.2, and used to generate the distinct components of the skeletons of different orders of the assembled grid complexes in Section 3.2.3.
The binaryPowerRange function, applied to an integer n, returns the string representation of all binary numerals between 0 and 2n - 1. All the strings have the same length n. The bits in each strings will be used to select between either a 0- or a 1-dimensional complex as generator (via a Cartesian product of complexes) of a component of an embedded grid skeleton of proper intrinsic dimension.
⟨Enumeration of binary ranges of given order 9a⟩≡
def binaryPowerRange (n):
return [(’{0:0’+str(n)+’b}’).format(k) for k in range(2**n)]
◇
Macro referenced in 14b.
Examples of generation of bit strings Below we show the outputs returned by application of the binaryPowerRange function to the first 4 integers.
>>> print binaryPowerRange (4),
[’0000’, ’0001’, ’0010’, ’0011’, ’0100’, ’0101’, ’0110’, ’0111’,
’1000’, ’1001’, ’1010’, ’1011’, ’1100’, ’1101’, ’1110’, ’1111’]
>>> print binaryPowerRange (3),
[’000’, ’001’, ’010’, ’011’, ’100’, ’101’, ’110’, ’111’]
>>> print binaryPowerRange (2),
[’00’, ’01’, ’10’, ’11’]
>>> print binaryPowerRange (1),
[’0’, ’1’]
◇
Macro never referenced.
The function filterByOrder is used to partition the previous binary strings into n + 1 subsets, such that the bits into each string sum to the same number, ranging from 0 to n included, respectively.
⟨Filtering binary ranges by order 9c⟩≡
def filterByOrder(n):
terms = [AA(int)(list(term)) for term in binaryPowerRange(n)]
return [[term for term in terms if sum(term) == k] for k in range(n+1)]
◇
Macro referenced in 14b.
Examples of bit lists filtering Some examples of application of the filterByOrder function to the first few integers are shown below. Of course, the number of elements in each class (i.e. in each returned list) is (n d) , and the total number of elements for each fixed n is ∑ d=0n(n d) = 2n.
⟨Skeleton component examples 10a⟩≡
>>> filterByOrder(4)
[[[0,0,0,0]],
[[0,0,0,1], [0,0,1,0], [0,1,0,0], [1,0,0,0]],
[[0,0,1,1], [0,1,0,1], [0,1,1,0], [1,0,0,1], [1,0,1,0], [1,1,0,0]],
[[0,1,1,1], [1,0,1,1], [1,1,0,1], [1,1,1,0]],
[[1,1,1,1]]]
>>> filterByOrder(3)
[[[0,0,0]],
[[0,0,1], [0,1,0], [1,0,0]],
[[0,1,1], [1,0,1], [1,1,0]],
[[1,1,1]]]
>>> filterByOrder(2)
[[[0,0]], [[0,1], [1,0]], [[1,1]]]
>>> filterByOrder(1)
[[[0]], [[1]]]
◇
Macro never referenced.
We are now finally able to generate the various subsets of cells of a d-dimensional cuboidal grid skeleton, produced respectively by the expression larCellProd(cellLists) for every permutation of 0- and 1-complexes, according to the partition classes of permtation of n bits previously produced. To understand why this assembling step of cells is necessary, the reader should look at Figure 2, where three subsets of 2-cells of the 2-skeleton, respectively generated by the bit dispositions [[0,1,1], [1,0,1], [1,1,0]], are separately displayed. Notice also that, whereas the dimension n of the embedding space is implicittly provided by the length of the shape parameter, the intrinsic dimension d of the skeleton to be produced must be given explicitly.
⟨Assembling grid skeletons 10b⟩≡
def larGridSkeleton(shape):
n = len(shape)
def larGridSkeleton0(d):
components = filterByOrder(n)[d]
componentCellLists = [AA(APPLY)(TRANS([ AA(larGrid)(shape),(component) ]))
for component in components]
return CAT([ larCellProd(cellLists) for cellLists in componentCellLists ])
return larGridSkeleton0
◇
Macro referenced in 14b.


{# templates/analytics/sitewide_election_metrics.html #} {% extends "template_base.html" %} {% block title %} Sitewide Election Metrics {% endblock %} {% block content %} {% load template_filters %}
Show activity relating to one election, for the entire site.
Process Updates


Customs intercept N2.5m fake currency
by Anna OkonAnna Okon
The Ogun Area 1 Command of the Nigeria Customs Service has said it intercepted fake currency notes worth about N2.5m.
Also intercepted by the command were 40 drums of smuggled ethanol.
The command’s Controller, Michael Agbara, told newsmen that the fake currency was intercepted due to the vigilance of officers of the command.
He said that the ethanol would be subjected to court condemnation while the suspects would be prosecuted.
He said, “These 40 drums contain industrial alcohol known as ethanol.
“This is strictly stamped by the National Agency for Food and Drug Administration and Control for industrial use but the criminals sold it to the public who mix it with water and take it as alcoholic drinks.
“This is harmful to the health of the people. It is a criminal activity for anyone to convert it to domestic use.”
The fake currency merchant, Samson Odejiba, said he was commissioned by one Alfa to transport the currency to Owode from Idiroko.
Odebija, who is a palm wine tapper, added that he was promised N5,000 for the job.
Agbara said the command also uncovered an illegal bunkering of petrol
The controller stated that about 160 jerry cans of 25 litres were being used to engage in the nefarious activity.
According to him, the smugglers hid the tanker in the bush and used other vehicles to shield it from public view.
From the bush, a pipe was constructed and fuel is siphoned from the tankers and fed into jerry cans, he explained.
CopyrightPUNCH.
All rights reserved. This material, and other digital content on this website, may not be reproduced, published, broadcast, rewritten or redistributed in whole or in part without prior express written permission from PUNCH.
Contact: editor@punchng.com


Okay. Here's the plan.
A little while ago, I put in the notion of the requested subcontext, which holds the data actually requested to be there. From this, the overlay (noinherit) and normal subcontexts are built (hoorah.)
So my aim is to drop the latter two, so that those are built on the fly, on demand. We maintain a list somewhere of configurable entries held in memory, to cut load-in costs.
Then, we shift the values into bdb - these are, by far, the chunkiest bits of memory.
Then, the datasets themselves get shifted, probably as ordered clouds of attributes.
Finally, we handle the datastore itself by heirarchical searches through the datasets - actually this could be done first - and attempt to drop the paths inside the datasets.
Overall, this should mean that the data is held on BDB, and actually transactionally controlled by it, but also we still use the advantages of the in-memory processing - namely speed.
For smallish systems, it shouldn't impact at all.


VGCFGBACKUP
Section: Maintenance Commands (8)Updated: LVM TOOLS 2.02.95(2)-RHEL6 (2012-10-16)
Index Return to Main Contents
NAME
vgcfgbackup - backup volume group descriptor areaSYNOPSIS
vgcfgbackup [-d|--debug] [-f|--file filename] [-h|--help] [--ignorelockingfailure] [-P|--partial] [-v|--verbose] [VolumeGroupName...]DESCRIPTION
vgcfgbackup allows you to backup the metadata of your volume groups. If you don't name any volume groups on the command line, all of them will be backed up.In a default installation, each volume group gets backed up into a separate file bearing the name of the volume group in the directory /etc/lvm/backup. You can write the backup to an alternative file using -f. In this case if you are backing up more than one volume group the filename is treated as a template, and %s gets replaced by the volume group name.
NB. This DOESN'T backup user/system data in logical volume(s)! Backup /etc/lvm regularly too.
OPTIONS
See lvm for common options.SEE ALSO
lvm(8), vgcfgrestore(8)
Index
This document was created by man2html, using the manual pages.
Time: 05:34:31 GMT, December 24, 2015


1: <?php
2: /**
3: * This file contains the implementation of the class ShardManager
4: * for managing connections to the DB shards.
5: *
6: * @package Database
7: *
8: * @author Oleg Schildt
9: */
10:
11: namespace SmartFactory\DatabaseWorkers;
12:
13: use SmartFactory\Interfaces\IShardManager;
14:
15: use function SmartFactory\dbworker;
16:
17: /**
18: * Class for managing connections to the DB shards.
19: *
20: * This shard manager allows registering multiple shards and request connections to them.
21: * It ensures that only one connection to a shard is used within a request.
22: *
23: * @see DBWorker
24: *
25: * @author Oleg Schildt
26: */
27: class ShardManager implements IShardManager
28: {
29: /**
30: * Internal array for storing the load balancing groups and its shards.
31: *
32: * @var array
33: *
34: * @author Oleg Schildt
35: */
36: protected $load_balancing_groups = [];
37:
38: /**
39: * Internal array for storing the mapping betwen shard names and connection parameters.
40: *
41: * @var array
42: *
43: * @author Oleg Schildt
44: */
45: protected $shard_table = [];
46:
47: /**
48: * Registers a new shard.
49: *
50: * @param string $shard_name
51: * Unique shard name.
52: *
53: * @param array $parameters
54: * The connection parameters to the shard as an associative array in the form key => value:
55: *
56: * - $parameters["db_type"] - type of the database (MySQL or MSSQL)
57: * - $parameters["db_server"] - server address
58: * - $parameters["db_name"] - database name
59: * - $parameters["db_user"] - user name
60: * - $parameters["db_password"] - user password
61: * - $parameters["autoconnect"] - should true if the connection should be established automatically upon creation.
62: * - $parameters["read_only"] - this paramter sets the connection to the read only mode.
63: *
64: * @param string $load_balancing_group
65: * The name of the load balancing group, if the shard should be part of it, {@see ShardManager::randomDBShard()}.
66: *
67: * @return boolean
68: * It should return true if the registering was successful, otherwise false.
69: *
70: * @throws \Exception
71: * It might throw an exception in the case of any errors:
72: *
73: * - if the shard name is not specified.
74: * - if the shard name has been already registered.
75: *
76: * @author Oleg Schildt
77: */
78: public function registerShard($shard_name, $parameters, $load_balancing_group = "")
79: {
80: if (empty($shard_name)) {
81: throw new \Exception("The shard name is not specified!");
82: }
83:
84: if (!empty($this->shard_table[$shard_name])) {
85: throw new \Exception("The shard '$shard_name' has been already registered!");
86: }
87:
88: $this->shard_table[$shard_name]["parameters"] = $parameters;
89:
90: if (!empty($load_balancing_group)) {
91: $this->load_balancing_groups[$load_balancing_group][] = $shard_name;
92: }
93:
94: return true;
95: } // registerShard
96:
97: /**
98: * The method provides the DBWorker object for working with the shard.
99: *
100: * If the parameters are omitted, the system takes the parameters from the configuration
101: * settings and reuses the single instance of the DBWorker for all requests.
102: * If the user passes the parameters explicitly, a new instance of the DBWorker is created upon each new request.
103: *
104: * Currently supported: MySQL, PostgreSQL und MS SQL.
105: *
106: * @param string $shard_name
107: * The name of the shard.
108: *
109: * @return \SmartFactory\DatabaseWorkers\DBWorker|null
110: * returns DBWorker object or null if the object could not be created.
111: *
112: * @throws \Exception
113: * It might throw an exception in the case of any errors:
114: *
115: * - if the interface or class does not exist.
116: * - if the shard was not found.
117: * - if the check of the classes and interfaces fails.
118: * - if the php extension is not installed.
119: * - db_missing_type_error - if the database type is not specified.
120: * - db_conn_data_error - if the connection parameters are incomplete.
121: * - db_server_conn_error - if the database server cannot be connected.
122: * - db_not_exists_error - if database does not exist od inaccesible to the user.
123: *
124: * @author Oleg Schildt
125: */
126: public function dbshard($shard_name)
127: {
128: if (empty($shard_name) || empty($this->shard_table[$shard_name])) {
129: throw new \Exception("The shard '$shard_name' was not found!");
130: return null;
131: }
132:
133: // Important!
134: //
135: // Many different databases may be connected within one request,
136: // therefore, we request the dbworker as not singleton. Otherwise,
137: // only one dbworker connected to one database would be returned.
138: //
139: // But, as soon as, we got a shard connected to a required database,
140: // we keep it as singleton within one request, to avoid the unnecessary
141: // DB connections.
142: //
143: // In other words, many databases can be accessed from one request,
144: // but there is only one connection to each database.
145:
146: if (empty($this->shard_table[$shard_name]["dbworker"])) {
147: $this->shard_table[$shard_name]["dbworker"] = dbworker($this->shard_table[$shard_name]["parameters"], false /* not singleton */);
148: }
149:
150: return $this->shard_table[$shard_name]["dbworker"];
151: } // dbshard
152:
153: /**
154: * The method provides the DBWorker object for working with the shard, that is chosen randomly
155: * for load balancing reason.
156: *
157: * @param string $load_balancing_group
158: * The name of the load balancing group, from which the shard should be randomly picked.
159: *
160: * @return \SmartFactory\DatabaseWorkers\DBWorker|null
161: * returns DBWorker object or null if the object could not be created.
162: *
163: * @throws \Exception
164: * It might throw an exception in the case of any errors:
165: *
166: * - if the load balancing group was not found.
167: * - db_server_conn_error - if the database server cannot be connected.
168: * - db_not_exists_error - if database does not exist od inaccesible to the user.
169: *
170: * @author Oleg Schildt
171: */
172: public function randomDBShard($load_balancing_group)
173: {
174: if (empty($this->load_balancing_groups[$load_balancing_group])) {
175: throw new \Exception("The group '$load_balancing_group' was not found!");
176: }
177:
178: $pos = rand(0, count($this->load_balancing_groups[$load_balancing_group]) - 1);
179:
180: return $this->dbshard($this->load_balancing_groups[$load_balancing_group][$pos]);
181: } // randomDBShard
182: } // ShardManager


I apologise for any duplication in other threads but I can not find the exact answer to this fundamental question.
If an ON/OFF controller such as a diode or a triac is used to control a load such as an immersion heater, does the electricity meter integrate (over a cycle) the brief ON period with the continuous input to the grid from the solar pv inverter, or not?
There are different kinds of meter and some old ones actually run backwards. I am referring to a modern digital meter such as a Mercury 5236. I have checked at least that it does not run forwards when power is being exported but it certainly does not run backwards. The question is does it integrate over a cycle the exported steady-state solar pv energy with the sudden burst of ON state from the switching controller, or does it ignore the exported energy and thus charge you for the difference between the heater watts and the generated watts integrated over the ON period?
To be numeric, say you have a 3kW immersion heater. Say your solar pv is generating a constant 1.5kW and say that the triac is switching the immersion heater so that it conveys 1kW of heat to the water. Does the utility meter bill you for zero, or does it bill you for some positive value?
Re: fundamental but important question re switching controllers and utility meters
This was discussed at some length in the Solar Energy Management thread. The contention is, and my own experiment confirmed that, as long as you don't move more than one watt-hour total through the meter in either direction, you can "roll back" the count by reversing the direction of the current. Once one watt-hour is exceeded, the count is passed to a register and the process starts over.
For example, you can draw 100 watts of load through the meter for long enough to accumulate .9 watt-hours of energy consumption. If you then reverse the flow (producing energy instead of consuming) at the rate of 100 watts, you can pump back 1.8 watthours without exceeding the one watt hour limit (+.9 - 1.8 = -.9). You can see-saw the energy back and forth across the meter at any rate you desire as often as you wish without incrementing the total display.
The result of this is that partial cycles or skipped cycles don't have enough energy to total one watt-hour, and so do not effect the total registered on the meter's display..
This was brought out in the Solar Energy Management topic here:
http://openenergymonitor.org/emon/node/176?page=2
Of course, ~everything~ depends on how your particular utility meter works internally.
Re: fundamental but important question re switching controllers and utility meters
As Mr. Sharkey says, everything depends on the particular meter, and especially how the utility company set it up. You might find a manual on-line. If you do find it, read it and particularly look for options that can be programmed, e.g. how it responds to reverse power etc.
Re: fundamental but important question re switching controllers and utility meters
Thanks and apologies for cross posting. My utility meter is a Mercury 5236, about which I can find little, and First Utility maintain their traditional silence when asked questions their customer services team have no scripted answers for.
I shall assume one watt-hour bidirectional integration over a mains cycle when used with a triac and look for any red flashing of the meter to indicate power is being registered.


SwiftMinions
This project is a collection of offen used swift functions, the purpose is to save your day.
There are lots of frameworks that better than us.
Instead of creating products without reasons and purpose, we choose to build our own Framework from a clear starting point.
We inspire from SwifterSwift and strict follow naming conventions
Request
- iOS 10.0+
- Swift 5.0+
Install
OhSwifter available through Cocoapods, simply add the following line to your Podfile:
pod 'SwiftMinions'
What different with SwifterSwift?
You can define the default parameter of the function by yourself.
SwifterSwift
func string(withFormat format: String = "dd/MM/yyyy HH:mm") -> String { let dateFormatter = DateFormatter() dateFormatter.dateFormat = format return dateFormatter.string(from: self) }
SwiftMinions
open class SMConfig { public static var dateFormatString = "yyyy-MM-dd HH:mm:ss" // ... } func toString(format: String = SMConfig.dateFormatString) -> String { let formatter = SMConfig.dateFormatter formatter.dateFormat = format formatter.timeZone = SMConfig.timeZone return formatter.string(from: self) }
License
SwiftMinions is released under the MIT license. See LICENSE for details.


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Porthmadog Sailing Club Weather Station
Display of the data from the weather station has now moved to
windguru
and
Windy


// [skip] Don't include on view engine tests var str = ''; ?> Escaped markdown code:
- $markdown(str) ?>
- $markdown(str, false) ?>


You will be prompted for a password which must be typed in computer Braille. Press a cursor routing key above the edit box; then type the password. An eight-dot computer Braille code is used. Letters are typed normally with no contractions. Use dot7 to capitalize a letter – for example, you would make a capital A by pressing dots1,7. dot7 is created by pressing the Backspace key. Numbers are dropped Nemeth numbers. Period is created using dots4,6. An At sign is created by pressing dots4,7. A computer Braille table is included as Appendix A.
in-context