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| Packages that use org.apache.xalan.templates | |
|---|---|
| org.apache.xalan.extensions | Implementation of Xalan Extension Mechanism. |
| org.apache.xalan.lib | Extension elements and functions shipped with Xalan-Java, including EXSLT functions. |
| org.apache.xalan.processor | Parses an XSLT stylesheet document (which may include and import other stylesheet documents) and produces a StylesheetRoot (a TRaX Templates object). |
| org.apache.xalan.templates | Implements the Templates interface,
and defines a set of classes that represent an XSLT stylesheet. |
| org.apache.xalan.trace | Implementation of Xalan Trace events, for use by a debugger. |
| org.apache.xalan.transformer | In charge of run-time transformations and the production of result trees. |
| Classes in org.apache.xalan.templates used by org.apache.xalan.extensions | |
|---|---|
| ElemExsltFunction
Implement func:function. |
|
| ElemTemplateElement
An instance of this class represents an element inside an xsl:template class. |
|
| Stylesheet
Represents a stylesheet element. |
|
| StylesheetRoot
This class represents the root object of the stylesheet tree. |
| Classes in org.apache.xalan.templates used by org.apache.xalan.lib | |
|---|---|
| ElemExtensionCall
Implement an extension element. |
|
| OutputProperties
This class provides information from xsl:output elements. |
| Classes in org.apache.xalan.templates used by org.apache.xalan.processor | |
|---|---|
| AVT
Class to hold an Attribute Value Template. |
|
| ElemTemplate
Implement xsl:template. |
|
| ElemTemplateElement
An instance of this class represents an element inside an xsl:template class. |
|
| ElemText
Implement xsl:template. |
|
| OutputProperties
This class provides information from xsl:output elements. |
|
| Stylesheet
Represents a stylesheet element. |
|
| StylesheetRoot
This class represents the root object of the stylesheet tree. |
|
| WhiteSpaceInfo
This is used as a special "fake" template that can be handled by the TemplateList to do pattern matching on nodes. |
|
| XSLTVisitable
A class that implements this interface will call a XSLTVisitor for itself and members within it's heararchy. |
| Classes in org.apache.xalan.templates used by org.apache.xalan.templates | |
|---|---|
| AbsPathChecker
This class runs over a path expression that is assumed to be absolute, and checks for variables and the like that may make it context dependent. |
|
| AVT
Class to hold an Attribute Value Template. |
|
| AVTPart
Class to hold a part, either a string or XPath, of an Attribute Value Template. |
|
| DecimalFormatProperties
Implement xsl:decimal-format. |
|
| ElemAttributeSet
Implement xsl:attribute-set. |
|
| ElemCallTemplate
Implement xsl:call-template. |
|
| ElemElement
Implement xsl:element |
|
| ElemExtensionCall
Implement an extension element. |
|
| ElemExtensionDecl
Implement the declaration of an extension element |
|
| ElemForEach
Implement xsl:for-each. |
|
| ElemLiteralResult
Implement a Literal Result Element. |
|
| ElemNumber
Implement xsl:number. |
|
| ElemParam
Implement xsl:param. |
|
| ElemSort
Implement xsl:sort. |
|
| ElemTemplate
Implement xsl:template. |
|
| ElemTemplateElement
An instance of this class represents an element inside an xsl:template class. |
|
| ElemUse
Implement xsl:use. |
|
| ElemVariable
Implement xsl:variable. |
|
| ElemWithParam
Implement xsl:with-param. |
|
| KeyDeclaration
Holds the attribute declarations for the xsl:keys element. |
|
| NamespaceAlias
Object to hold an xsl:namespace element. |
|
| OutputProperties
This class provides information from xsl:output elements. |
|
| RedundentExprEliminator.MultistepExprHolder
Since we want to sort multistep expressions by length, use a linked list with elements of type MultistepExprHolder. |
|
| Stylesheet
Represents a stylesheet element. |
|
| StylesheetComposed
Represents a stylesheet that has methods that resolve includes and imports. |
|
| StylesheetRoot
This class represents the root object of the stylesheet tree. |
|
| StylesheetRoot.ComposeState
Class to track state global state during the compose() operation. |
|
| TemplateList
Encapsulates a template list, and helps locate individual templates. |
|
| TemplateList.TemplateWalker
An inner class used by a compiler to iterate over all of the ElemTemplates stored in this TemplateList. |
|
| TemplateSubPatternAssociation
A class to contain a match pattern and it's corresponding template. |
|
| VarNameCollector
This class visits variable refs in an XPath and collects their QNames. |
|
| WhiteSpaceInfo
This is used as a special "fake" template that can be handled by the TemplateList to do pattern matching on nodes. |
|
| XMLNSDecl
Represents an xmlns declaration |
|
| XSLTVisitable
A class that implements this interface will call a XSLTVisitor for itself and members within it's heararchy. |
|
| XSLTVisitor
A derivation from this class can be passed to a class that implements the XSLTVisitable interface, to have the appropriate method called for each component of an XSLT stylesheet. |
|
| XUnresolvedVariableSimple
This is the same as XUnresolvedVariable, but it assumes that the context is already set up. |
| Classes in org.apache.xalan.templates used by org.apache.xalan.trace | |
|---|---|
| ElemTemplateElement
An instance of this class represents an element inside an xsl:template class. |
| Classes in org.apache.xalan.templates used by org.apache.xalan.transformer | |
|---|---|
| ElemAttributeSet
Implement xsl:attribute-set. |
|
| ElemForEach
Implement xsl:for-each. |
|
| ElemNumber
Implement xsl:number. |
|
| ElemTemplate
Implement xsl:template. |
|
| ElemTemplateElement
An instance of this class represents an element inside an xsl:template class. |
|
| OutputProperties
This class provides information from xsl:output elements. |
|
| StylesheetRoot
This class represents the root object of the stylesheet tree. |
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| PREV NEXT | FRAMES NO FRAMES |


These are basic subnetting questions. You should be able to do these without any problems if you plan to work in networking or are studying for a certificate such as the CCNA.
Once you have these down, try the more advanced questions. If you need help, take a look at our how to and our subnetting reference cheatsheet.


BOOST
your
presentation
- Speaker view
- Mute microphone
- Fasten seatbelt
BOOST
your
presentation
Part 1
Things => Head
Part 1
Things => Head
Part 2
Things => Head (forever)
Quality
Face
Repetition
Repetition
Relationship
Impact
Interaction
Think
outside
the
box
Thanks
Teryk, Christophe for the Geneva-Transport
Julien for acting
My wife for filming
Seb for starting the Video
Xavier for suggesting this topic


List of words learned in this video:
• paper
• scissors
• red
• orange
• yellow
• green
• blue
• brown
• black
• white
Please refresh your browser if the video will not load!


Murray will do 'great job' at Davis Cup, says British captain
Madrid - Andy Murray will do a "great job" when he continues his comeback from injury at next week's inaugural Davis Cup Finals in Madrid, British captain Leon Smith said on Sunday.
The former world No 1 claimed his first ATP title since 2017 last month in Antwerp to raise hopes that he could return to the top of the game despite needing career-saving hip surgery earlier this year.
Murray, who inspired Britain to the 2015 Davis Cup title, will line up alongside his older brother Jamie, Dan Evans, Kyle Edmund and Neal Skupski at the Caja Magica.
"Andy feels great," said Smith. "He's obviously extremely happy to be back in tennis.
"He's training unbelievably hard to get back to his best position, with great focus.
"If he's picked to play, then I know he will do a great job on the court. That's not ego, that's confidence of course.

Britain, who were handed a wildcard for the first tournament since the old World Group was scrapped, will be favourites to progress from a Group E which also features Kazakhstan and the Netherlands.
The teams will face off in two best-of-three-set singles matches in each tie, with one doubles rubber.
"We are very lucky to have three very good singles players and really good doubles options," added Smith, who is expected to choose either British number one Evans or Edmund to partner Murray, now ranked 125th.
"So I've got a few things to ponder in the next couple of days, but it's a good situation to be in.
"It wasn't that long ago that it wasn't like this and the guys all stepped up even though they were ranked 270, 300, 400... Beating guys 30th, 60th in the world.
"That's why you have to respect any opposition."
Russia get the finals, revamped by Barcelona footballer Gerard Pique's Kosmos company, underway on Monday against reigning champions Croatia.
But the Russians have been weakened by the withdrawal of world number four Daniil Medvedev, who has been struggling with exhaustion after a gruelling season that saw him reach six consecutive finals.
Croatia are missing the injured Marin Cilic, while the tournament will have to launch its new format without Roger Federer, who decided not to play.
Novak Djokovic and home favourite Rafael Nadal have committed themselves to the event, although the Spaniard has been struggling with an abdominal injury in recent weeks.
But his captain Sergi Bruguera insisted the 19-time Grand Slam champion wants to take part.
"The truth is that he's in a great moment," said Bruguera. "He is doing well and is eager to compete."
The other ties on Monday see Belgium take on Colombia, who never played in the World Group, while Italy face Canada.


Posted: 2017-02-28
, Modified: 2017-02-28
Tags: neural nets
9 Classification with real-valued functions
9.1 Intro
- VC dim grows with number of parameters
- Training set \(\ll\) number of parameters, but still avoids overfitting.
- 7.1: arbitrarily small modification to activation makes VC-dimension infinite
- In theo theory model, learning algorithm is required to perform well for any probability distribution.
- Learning model not appropriate for NN learning algorithms. Many learning algorithms take into account the real output.
- Take into account the margin
- Get bounds on misclassification \(\pat{error}\le \pat{estimate of error} + \pat{complexity penalty}\). Complexity parameter depends on size of parameters in the network.
- Interpret: value of the function as an estimate of the probability that the correct label is 1
9.2 Large margin classifiers
- \(Z=X\times \{0,1\}\). Margin of \(f\) on \((x,y)\in Z\) is \(\sign(y) (f(x)-\rc 2)\).
- Error \(err_P^\ga(f) = \Pj(\text{margin}(f(x),y)<\ga)\).
- Classification learning algorithm for real-valued functions: \(err_P(L(\ga,z)) < \inf_{g\in F}err_P^\ga(g)+\ep\).
- \(\wh{err}_z^\ga(f) = \rc m |\set{i}{\text{margin}(f(x_i),y_i)<\ga}|\).
- Chebyshev: if \(\ep\) is \(L_2\) error, \(\wh{err}_z^\ga (f) < \fc{\ep}{(\rc2-\ga)^2}\).
- \(N(\ep, W, d_\iy)\) is the minimum cardinality of a cover of \(W\) by \(\ep\)-balls in \(L^{\iy}\).
- Ex. if \(F|_{x_{1:k}}\) is contained in a linear subspace of dimension \(d\), then grows as \(\pf k\ep^d\).
- \(N_\iy(\ep, F, k) =\max_{x\in X^k} N(\ep, F|_x, d_\iy)\).
\[
\Pj^m [\exists f\in F, err_P(f) \ge \wh{err}_z^\ga (f) + \ep] \le 2N_\iy(\fc \ga2, F, 2m) e^{-\fc{\ep^2m}{8}}.
\] (\(\max\) here signals that \(L^\iy\) is the right covering.)
If covering number grows as \(\poly(m)\), then this approaches 0 exponentially.
11 Pseudo-dimension and fat-shattering dimension
Is there a combo measure like the VC dimension to bound covering numbers?
11.2 Pseudo-dimension
- \(F\) is a set of functions \(X\to \R\), \(S=\{x_1,\ldots, x_m\}\subeq X\). \(S\) is pseudoshattered by \(F\) if there are \(r_i\), s.t. for all \(b\in \{0,1\}^m\), there is \(f_b\in F\), \(\sign(f_b(x_i)-r_i)=b_i\). (Achieve all possible above/below combinations.)
- Pseudo-dimension is maximum \(|S|\) pseudo-shattered by \(F\).
- The pseudodimension of \(F\) is the VC dimension of \(\set{\sign(f(x)-y)}{f\in F}\).
- Pseudoshattered iff some translate of \(F|_x\) intersects all orthants.
- Composing with nondecreasing function doesn’t increase.
- If \(F\) is vector space, \(Pdim(F)=\dim(F)\).
- \(F=\set{w_0+w^Tx}{w\in \R^n}\): \(P\dim(F)=n+1\).
- Poly transformations of degree \(\le k\): \(P\dim(F) = \binom{n+k}k\).
- Poly transformations on \(\{0,1\}^k\) of degree \(\le k\): \(\sumz ik \binom ni\).
11.3 Fat-shattering dimension
- \(S\) is \(\ga\)-shattered by \(F\) if there are \(r_i\) such that for each \(b\in \{0,1\}^m\), there is \(f_b\in F\),
\[\begin{align}
f_b(x_i) & \ge r_i+\ga,&b_i=1\\
f_b(x_i) &\le r_i - \ga,&b_i=0.
\end{align}\]
- \(\ga\)-dimension is max cardinality of \(S\) that is \(\ga\)-shattered by \(F\), \(fat_F(\ga)\).
- This is a scale-sensitive dimension.
- Ex. \(F\) set of functions \([0,1]\to [0,1]\) with total variation \(\le V\). \(fat_F(\ga) = 1+\ff{V}{2\ga}\).
- \(fat_F(\ga)\le P\dim(F)\). \(P\dim(F) = \lim_{\ga\to 0} fat_F(\ga)\).
- If closed under scalar multiplication, \(fat_F(\ga) = Pdim(F)\).
12 Bounding covering numbers with dimensions
- \(W\subeq A\) is \(\ep\)-separated/packing if \(\forall x,y\in P\) distinct, \(d(x,y)\ge \ep\).
- \(\ep\)-packing number \(M(\ep,W,d)\) max cardinality of \(\ep\)-separated subset.
- Uniform packing number \(M_p(\ep, H, k) = \max_{x\in X^k} M(\ep, H|_x, d_p)\).
- \(M(2\ep, W, d)\le N(\ep, W, d)\le M(\ep, W,d)\).
- If \(F:\{X\to [0,B]\}\), \(N_\iy(\ep, F, m)\le \sumo id \binom mi \pf B\ep^i\le \pf{emB}{\ep d}^d\).
- (Bound covering number by fat-shattering dimension)
\[\begin{align}
M_\iy(\ep, F, m) &< 2(mb^2)^{\ce{\lg y}}\\
b&=\ff{2B}{\ep}\\
d&=fat_F\pf{\ep}4\\
y&=\sumo id \binom mi b^i.
\end{align}\]
- Fat-shattering dimension determines in a fairly precise manner the covering numbers of a function class: \(F:\{X\to [0,B]\}\). \(m\ge fat_F\pf{\ep}4\ge 1\).
\[\begin{align}
\fc{\lg e}8 fat_F(16\ep) \le \lg N_1(\ep, F, m) \le \lg N_\iy(\ep, F, m) \le 3fat_F\pf{\ep}4 \lg\pf{4e Bm}{\ep}^2.
\end{align}\]
13
Large margin SEM algorithm: gives \(\wh{err}_z^\ga (L(\ga, z)) = \min_{f\in F}\wh{err}_z^\ga (f)\).
14 Dimensions of neural networks
We bound the covering numbers and fat-shattering dimensions for net- works that are fully connected between adjacent layers, that have units with a bounded activation function satisfying a Lipschitz constraint, and that have all weights (or all weights in certain layers) constrained to be small.
Two types of bounds. Two notions of complexity: parameters and size of parameters
14.3 In terms of number of parameters
- \(F:\{X\to Y_1\}\), \(G:\{Y_1\to \R\}\), \(G\) is \(L\)-lipschitz. Let \(d_\iy^\rh(y,z) = \max_{1\le i\le m}\rh(y_i,z_i)\). Then \[N_\iy(\ep, G\circ F_1, m)\le \max_{x\in X^m} N\pa{\fc{\ep}{2L}, F_1|_x, d_\iy^\rh} N(\pf \ep2, G, d_{L_\iy}).\]
- Note finite \(L_\iy\) cover is very strong.
- Neural network
- \(l\) layers
- \(W\) weights
- Computaion maps into \([-b,b]\)
- For each unit, \(\ve{w}_1\le V\).
- Activation functions \(L\)-Lipschitz
- \(N_\iy (\ep, F, m) \le \pf{4embW(LV)^l}{\ep(LV-1)}^W\).
14.4 On Fat-shattering dimensions, independent of number of parameters
\(fat_F(\ga)\) increases with \(\rc{\ga}\), weight bound, and number of layers.
- Neural network
- \(B=b\) bound on magnitude of input values and activation function
- \(l\)-layer
- \(\ve{w}_1\le V\).
- \(s\) is \(L\)-Lipschitz
- \(l\ge 1, b\ge 1, V\ge \rc{2L}, \ep\le VbL\). Then \(\lg N_2(\ep, F_l,m) \le \rc2 \pf{2b}{\ep}^{2l} (2VL)^{l(l+1)} \lg (2n+2)\).
- \(fat_{F_l}(\ep) \le 4 \pf{32b}{\ep}^{2l} (2VL)^{l(l+1)} \ln (2n+2)\).


December 3, 2013
In order for an application to be considered for pre-load the developer must agree to resolve bugs/fixes in a timely manner as defined in Section 1 and the app must fulfill the technical requirements defined in Section 2.
Fixes/defects found by Mozilla, Operators or handset manufacturers will be reported to the developer via Bugzilla. The developer agrees to fix these bugs in a timely manner as defined here:
| Priority | Description | Time to Resolve |
|---|---|---|
| P1 = Critical | Critical bugs are the bugs we need to fix immediately or the app will not be pre-loaded by one or more Operators. These are bugs that prevent basic use cases of the App from working if it were released in that state. | Fix to be submitted to Marketplace within 3 business days of assignment to 3rd party Developer via Bugzilla. |
| P2 = Major | Major bugs are still bugs, but the basic use cases of the app are in tact. Major bugs may not result in an app being pulled from pre-load status but need to be fixed asap. Typically there is an end-user workaround or a quick fix that can be applied post-release. | Fix to be submitted to Marketplace within 5 business days of assignment to 3rd party Developer via Bugzilla. |
| P3 = Minor | Cosmetic and minor issues such as button size, misspelled word, etc. | Fix to be submitted to Marketplace within 10 business days of assignment to 3rd party Developer via Bugzilla. |
| P4 = Enhancement | Reserved for enhancements or "nice to haves". | Developer to provide date for new version of app if the item is accepted on their roadmap. |
For 3rd Party Apps, Bugs Severity Levels are designated using the Priority Field in Bugzilla.
3rd Party apps will not block a device from shipping; however the final decision is with the OEM/Carrier. Instead of blocking Terminal Acceptance (TA), the expectation is that the app would be pulled from pre-load.
| Area | Technical Requirement | Consumer Experience Benefit |
|---|---|---|
| Startup Time | If an operation will take more than a few seconds, a progress indicator should be used. | Progress indicators are an interactive system's way of keeping its side of the expected conversational protocol: "I'm working on the problem. Here's how much progress I've made and an indication of how much more time it will take." |
| Fully Offline Apps | Apps that do not require internet connectivity should be fully packaged and 100% available offline (i.e. no internet connection required to use). This normally applies to apps such as Games, Utilities. | Ensures that apps that do not need internet connectivity run as Consumers expect and are similar to comparative platforms. |
| Offline Operation | All static components (logos, menu text etc) should be stored locally to enable offline operation Apps that have NO live data should operate 100% offline (e.g. Games, Utilities) | Consumer is able to see the application framework, without requiring a network connection/while waiting for live data components to pre-load. Consumer is also able to see the application framework at unboxing without a network connection. In addition to caching, an app will be fully viewable when no network connection exists. |
| Caching |
App should support appcache caching as minimum so previous pages
viewed are cached. Ideally indexedDB (local storage) should be used to store
information.
The previous session's app data should be cached and displayed when
there is no internet access and if:
|
Consumer is able to see the last set of data when no internet connectivity is available/slow to load refreshed data. |
| Language | App must support local language of the country where the app is pre-loaded across all static/non-live app assets (e.g. menu items, Terms and Conditions, instructions etc). App must detect language based on device setting. | Consumers can utilize apps in local languages in target countries. |
| Sound | Apps should support sound, where applicable (e.g. Games). | |
| UI | App needs to support a full-touch UI environment and provide sufficient quality (e.g. menus, buttons, elements are correct size). |


i'm still learning to be a programmer
I hope you can share your knowledge with me.
You can contact me by press one of downstair social buttons.


| 004:143 Khan | : |
(They are) swaying between this and that, belonging neither to these nor to those, and he whom Allah sends astray, you will not find for him a way (to the truth - Islam). |
| 004:143 Maulana | : |
Wavering between that (and this) -- (belonging) neither to these nor to those. And whomsoever Allah leaves in error, thou wilt not find a way for him. |
| 004:143 Pickthal | : |
Swaying between this (and that), (belonging) neither to these nor to those. He whom Allah causeth to go astray, thou (O Muhammad) wilt not find a way for him: |
| 004:143 Rashad | : |
They waver in between, neither belonging to this group, nor that group. Whomever GOD sends astray, you will never find a way to guide him. |
| 004:143 Sarwar | : |
They are hesitant people belonging to neither side. You can find no other way for one whom God has caused to go astray. |
| 004:143 Shakir | : |
Wavering between that (and this), (belonging) neither to these nor to those; and whomsoever Allah causes to err, you shall not find a way for him. |
| 004:143 Sherali | : |
Wavering between this and that, belonging neither to these nor to those. And he whom ALLAH causes to perish, for him thou shalt not find a way of escape. |
| 004:143 Yusufali | : |
(They are) distracted in mind even in the midst of it,- being (sincerely) for neither one group nor for another whom Allah leaves straying,- never wilt thou find for him the way. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > الكافرون > النهي عن موالاة الكفار Pillars of Islam> Islamic> The Disbelievers> The Prohibition to Follow the Atheists الإيمان > الإيمان بالله > النفاق Faith> Belief In Allah> Hypocrisy
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Data Types Memory Layout¶
This describes data format on heap, as seen in C code or from debugger. You will never be able to see this format from Erlang code.
Immediate values¶
Immediate types always occupy 1 Word. To know if you found
an immediate, its least-significant 2 bits will have value
TAG_PRIMARY_IMMED1=3
.
To know which exactly immediate you’ve got, see the two following bits
(bit 2 and 3):
_TAG_IMMED1_PID=0
,
_TAG_IMMED1_PORT=1
,
_TAG_IMMED1_SMALL=3
.
This leaves remaining Word-size minus 4 bits for the
actual value.
If the bits 2 and 3 contained _TAG_IMMED1_IMMED2=2
then two more bits
(bit 4 and 5) are taken and interpreted.
They can be
_TAG_IMMED2_ATOM=0
,
_TAG_IMMED2_CATCH=1
_TAG_IMMED2_NIL=3
,
which leaves remaining Word-size minus 6 bits for the
actual value.
This also explains why max small integer range is 32-4=28
:
2^27-1
+ one bit sign, because small is an immediate-1 value.
And why max number of atoms can be 32-6=26
(2^26=32 million), because
atom is an immediate-2 value.
For compatibility reasons this limit also applies to 64-bit systems.
Lists (Cons)¶
A list term is boxed value (i.e. contains a pointer to heap). 2 least-significant
bits of list value have TAG_PRIMARY_LIST=1
, remaining bits are the pointer.
A value on heap
contains 2 Words – namely CAR (or list head) and
CDR (list tail) (see CAR
and CDR
macros in emulator/beam/erl_term.h
).
This pair of words is called “Cons Cell” (terminology from
Lisp and functional programming). Cons cell has no header word stored in memory.
Each cons cell contains pointer to next cell in CDR (tail).
As this is also visible from Erlang, last cons cell of a list contains NIL
(a special value for empty list []
) or a non-list Term
value (this makes improper list).
This structure may look inefficient, but on the other hand it allows connecting any tail of any list to multiple cons cells to reuse existing data.
Boxed¶
Boxed value is a pointer with 2 least-significant bits tagged with
TAG_PRIMARY_BOXED=2
. Remaining bits are the pointer.
A boxed pointer must always point to a Header (see explanation of headers below). Boxed values can be found everywhere: in registers, on stack, on heaps.
Box always points at a Header (below).
During the garbage collection a Box can point to another Box or to
THE_NON_VALUE
to mark a moved object, but never after.
Headers¶
Header tag is placed on any boxed value on heap, also on temporary blocks used by internal emulator logic, they will be automatically garbage collected later.
Header values can never be found in register or on stack. This is heap-only data structure.
Tuple (ARITYVAL=0)¶
A tuple has header word tagged with TAG_PRIMARY_HEADER
with ARITYVAL_SUBTAG
.
Remaining bits in header word represent tuple arity
(see arityval
and make_arityval
macros).
Following are tuple elements. This explains, why tuple is very easy to access at arbitrary index, and very hard to grow. Modification of tuple elements in place is used as optimization by Erlang compiler if it can prove, that intermediate tuple value will be dropped.
Bignum (NEG=2/POS_BIG=3)¶
Bignums have header word tagged with TAG_PRIMARY_HEADER
followed by either
POS_BIG_SUBTAG
or NEG_BIG_SUBTAG
. Remaining bits in header word are arity,
i.e. how many extra Words are used by bignum bits.
Following are bits of the bignum, a Word at a time. Most significant word goes first.
Reference (REF=4)¶
See struct RefThing
in emulator/beam/erl_term.h
.
Contains header word tagged with TAG_PRIMARY_HEADER
with REF_SUBTAG
which
also matches the first field of RefThing
.
Following are other RefThing
fields (3 32-bit words or 2 64-bit words) which
have the ref value stored in them. Internal (local) ref layout is explained in
emulator/beam/erl_term.h
search for text “Ref layout (internal references)” and
“Ref layout on a 64-bit” (2 comments).
Fun/Closure (FUN=5)¶
See struct ErlFunThing
in erl_fun.h
.
Contains header word tagged with TAG_PRIMARY_HEADER
with FUN_SUBTAG
which
also matches the first field of ErlFunThing
.
This is a closure (a function pointer with frozen variable values). It contains pointer to function entry, arity, amount of frozen variables, pid of creator process and array of frozen variables.
Float (FLOAT=6)¶
Contains header word tagged with TAG_PRIMARY_HEADER
with FLOAT_SUBTAG
.
Followed by 64 bit of C double
IEEE-754 format.
Export (EXPORT=7)¶
Refers to a {Mod, Fun, Arity}
. Contains a pointer to the export table.
Always has arity 1 (because only one pointer).
A record in export table contains:
Pointers to all (old and current) versions of the code for the function
2 words with
func_info
opcode for the function. Note, that this is executable BEAM code.3 words: Module (atom), Function (atom), Arity (as untagged integer)
1 word which is 0 or may contain a apply, call or breakpoint opcode. Note, that this is executable BEAM code.
1 word argument for the previous opcode. May be a pointer to BEAM code, a pointer to a C BIF function or 0.
See also
Export
struct in emulator/beam/export.h
Reference-counted Binary (REFC_BINARY=8)¶
A pointer to binary on the binary heap. When this is destroyed, the reference count is reduced (can only happen during GC). Reference to refc binary is called procbin. A refc binary whose refc reaches 0 is deleted.
Heap Binary (HEAP_BINARY=9)¶
A smaller binary (under 64 bytes) which is directly placed on the process heap.
Sub-binary (SUB_BINARY=10)¶
A temporary pointer to a part of another binary (either heap or refcounted,
but never into another sub-binary).
Can be produced by split_binary
function.
Match context¶
Similar to sub-binary but is optimized for binary matching.
Ext Pid 12¶
Pid containing node name. Refers to a process on another node.
Ext Port 13¶
Port containing node name. Refers to a port on another node.
Ext Ref (EXTERNAL_REF=14)¶
External ref format is explained in erl_term.h
search for “External thing layout”.


---
layout: "default"
title: "Documentation"
lead: "Learn more about the logsearch projects..."
---
Learn about setting up, managing, and operational tasks required in running your own logsearch deployment.
Learn about the BOSH release which enables any BOSH-managed instance to forward their logs and operational metrics into
your own logsearch deployment.
Learn about how logstash filters are managed and what's involved in writing and testing custom log formats.
Learn about the tasks involved with managing this website.
Learn how to use the LogSearch Workspace


Indian forces using rape as a tool in occupied Kashmir: President Alvi
by https://www.facebook.com/dunyanewsISLAMABAD (Dunya News) – President Dr Arif Alvi has said that Indian forces are using rape as a tool in occupied Kashmir which was also highlighted by Human Rights Watch in one of its reports.
On his twitter account, the president tagged a clip of the Indian TV programme in which an Indian retired army officer SP Sinha and a BJP leader, shamefully advocated rape of Kashmiri women.
Dr Arif Alvi said imagine the fate of women in Indian Occupied Kashmir where such men wield power with total impunity.
During the program, the other participants and female host could be seen shouting "Sinha down" with loud condemnation over his appalling remarks.
Human Rights Watch in its report titled, “India’s secret army in Kashmir, New patterns of abuse emerge in the conflict,” found the Indian occupying forces’ involvement in such heinous acts of gross human rights violations.
It said these incidents were never investigated by the judicial and medical authorities competent to determine culpability.


In this stage, the program should check whether a number is a Palindromic one. A Palindromic number is symmetrical; in other words, it stays the same regardless of whether we read it from left or right. For example, 17371 is a palindromic number. 5 is also a palindromic number. 1234 is not. If read it from right, it becomes 4321. Add this new property to our program.
In previous stages, the program could process only one number. From now on, the program should accept a request from a user, analyze and execute it. The program should print Enter a request
instead of asking for a natural number. The program should also continue execution unless a user enters a terminate command. Let's make it 0
(zero).
Your program should welcome users and print the instructions. At this point, make your program execute two commands. If a user enters a natural number, the program should indicate the properties of that number. If a user enters zero, then the program should exit. If a user enters a negative number by mistake, print an error message.
In this stage, your program should:
The properties are even
, odd
, buzz
, duck
and palindromic
. The tests won't check the order of properties, indentation, and spaces. You may format numbers as you like. Please, add the information below:
Instructions:
Supported requests:
- enter a natural number to know its properties;
- enter 0 to exit.
Error message:
The first parameter should be a natural number or zero.
The greater-than symbol followed by a space (>
) represents the user input. Note that it's not part of the input.
Example 1:
Welcome to Amazing Numbers!
Supported requests:
- enter a natural number to know its properties;
- enter 0 to exit.
Enter a request: ><PHONE_NUMBER>854775807
Properties of 9,223,372,036,854,775,807
even: false
odd: true
buzz: true
duck: true
palindromic: false
Enter a request: > 101
Properties of 101
even: false
odd: true
buzz: false
duck: true
palindromic: true
Enter a request: > -56
The first parameter should be a natural number or zero.
Enter a request: > 0
Goodbye!


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import views.html._ @import views.viewmodels.MessageView @import play.twirl.api.HtmlFormat @import uk.gov.hmrc.hmrcfrontend.views.html.helpers._ @import play.api.mvc.Call @import uk.gov.hmrc.govukfrontend.views.html.components._ @this(layout: Layout) @(message: MessageView)(implicit messages: Messages, requestHeader: RequestHeader) @import message._
@sender sent @sentText @firstRead.map{s => First viewed @s } @if(!message.self) { You viewed @readText }


Features
- easy to use
- no external dependencies
- supports all major browsers and IE11+
- customizable and extendable
Install
Install from npm or use CDN:
<link href="https://unpkg.com/ispin/dist/ispin.css" rel="stylesheet">
<script src="https://unpkg.com/ispin"></script>


FAQ
Q: How far will you travel?
A: As far as needed!
Q: What's your hourly rate?
A: Please contact me at<EMAIL_ADDRESS>to discuss rates.
Q: What type of events and venues do you typically shoot?
A: Everything from conventions to weddings and graduation parties
Q: How can I see some of your existing work?
A: Click here to see samples from our portfolio!


What did you learn from your 'mindfulness conversation'? How did the other person find it?
TBA
Which of the three suggested techniques will you use to sustain your practice?
All of the above! haha I think it's important to have someone going through the same thing as you and the can help you out and you can help them out "mutual harrassment" I think he called it! I also find you learn more teaching someone sometimes.
The second one is also really handy and I think so for other aspects in life I've got an annoying all or nothing approch and that can somtimes cause me to do nothing...
So it's ok if I can't sit down for a whole hour just 10mins 2mins to easily fit it into my scehdule jsut because a little of something is better than a whojle lot of nothing.
The third is a good simple technique that expands on the last point. 1 mindfull breath a day! if you can't atleast do that what are you doing!!


Try typing in here...
And in here...
Choose an option...
A
B
C
Slide this...
Click one...
Click one...


Class: Microsoft_WindowsAzure_Management_Client
Source Location: /WindowsAzure/Management/Client.php
Author(s):
Copyright:
- Copyright (c) 2009 - 2011, RealDolmen (http://www.realdolmen.com)
|
|
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Class Details
Class Variables
Class Methods
constructor __construct [line 123]
Creates a new Microsoft_WindowsAzure_Management_Client instance
Tags:
Parameters:
method addCertificate [line 1985]
void addCertificate(
string
$serviceName, string
$certificateData, string
$certificatePassword, [string
$certificateFormat = 'pfx'])
|
|
The Add Certificate operation adds a certificate to the subscription.
Tags:
Parameters:
method configureDeploymentByDeploymentId [line 1548]
void configureDeploymentByDeploymentId(
string
$serviceName, string
$deploymentId, string
$configuration)
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|
The Change Deployment Configuration request may be specified as follows. Note that you can change a deployment's configuration either by specifying the deployment environment (staging or production), or by specifying the deployment's unique name.
Tags:
Parameters:
method configureDeploymentBySlot [line 1517]
void configureDeploymentBySlot(
string
$serviceName, string
$deploymentSlot, string
$configuration)
|
|
The Change Deployment Configuration request may be specified as follows. Note that you can change a deployment's configuration either by specifying the deployment environment (staging or production), or by specifying the deployment's unique name.
Tags:
Parameters:
method createAffinityGroup [line 2092]
void createAffinityGroup(
string
$name, string
$label, [string
$description = ''], [string
$location = ''])
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|
The Create Affinity Group operation creates a new affinity group for the specified subscription.
Tags:
Parameters:
method createBlobClientForService [line 478]
Creates a new Microsoft_WindowsAzure_Storage_Blob instance for the current account
Tags:
Parameters:
method createDeployment [line 994]
void createDeployment(
string
$serviceName, string
$deploymentSlot, string
$name, string
$label, string
$packageUrl, string
$configuration, [boolean
$startDeployment = false], [boolean
$treatWarningsAsErrors = false])
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|
The Create Deployment operation uploads a new service package and creates a new deployment on staging or production.
Tags:
Parameters:
method createHostedService [line 848]
void createHostedService(
string
$serviceName, string
$label, [string
$description = ''], [string
$location = null], [string
$affinityGroup = null])
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The Create Hosted Service operation creates a new hosted service in Windows Azure.
Tags:
Parameters:
method createQueueClientForService [line 526]
Creates a new Microsoft_WindowsAzure_Storage_Queue instance for the current account
Tags:
Parameters:
method createStorageAccount [line 702]
The Create Storage Account operation creates a new storage account in Windows Azure.
Tags:
Parameters:
method createTableClientForService [line 502]
Creates a new Microsoft_WindowsAzure_Storage_Table instance for the current account
Tags:
Parameters:
method deleteAffinityGroup [line 2157]
void deleteAffinityGroup(
string
$name)
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|
The Delete Affinity Group operation deletes an affinity group in the specified subscription.
Tags:
Parameters:
method deleteCertificate [line 2023]
void deleteCertificate(
$serviceName, [string
$algorithm = ''], [string
$thumbprint = ''], string
$serviceName|$certificateUrl)
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|
The Delete Certificate operation deletes a certificate from the subscription's certificate store.
Tags:
Parameters:
method deleteDeploymentByDeploymentId [line 1213]
void deleteDeploymentByDeploymentId(
string
$serviceName, string
$deploymentId)
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|
The Delete Deployment operation deletes the specified deployment.
Tags:
Parameters:
method deleteDeploymentBySlot [line 1192]
void deleteDeploymentBySlot(
string
$serviceName, string
$deploymentSlot)
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|
The Delete Deployment operation deletes the specified deployment.
Tags:
Parameters:
method deleteHostedService [line 914]
void deleteHostedService(
string
$serviceName)
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|
The Delete Hosted Service operation deletes the specified hosted service in Windows Azure.
Tags:
Parameters:
method deleteStorageAccount [line 788]
void deleteStorageAccount(
string
$serviceName)
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The Delete Storage Account operation deletes the specified storage account from Windows Azure.
Tags:
Parameters:
method getAffinityGroupProperties [line 2179]
The Get Affinity Group Properties operation returns the system properties associated with the specified affinity group.
Tags:
Parameters:
method getBaseUrl [line 201]
Get base URL for creating requests
Tags:
method getCertificate [line 1946]
The Get Certificate operation returns the public data for the specified certificate.
Tags:
Parameters:
method getDeploymentByDeploymentId [line 1069]
The Get Deployment operation returns configuration information, status, and system properties for the specified deployment.
Tags:
Parameters:
method getDeploymentBySlot [line 1046]
The Get Deployment operation returns configuration information, status, and system properties for the specified deployment.
Tags:
Parameters:
method getHostedServiceProperties [line 938]
The Get Hosted Service Properties operation retrieves system properties for the specified hosted service. These properties include the service name and service type; the name of the affinity group to which the service belongs, or its location if it is not part of an affinity group; and optionally, information on the service's deployments.
Tags:
Parameters:
method getHttpClientChannel [line 171]
Retrieve HTTP client channel
Tags:
method getLastRequestId [line 191]
string getLastRequestId(
)
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|
Returns the last request ID.
Tags:
method getOperationStatus [line 329]
The Get Operation Status operation returns the status of the specified operation.
Tags:
Parameters:
method getRoleInstancesByDeploymentId [line 1115]
Array getRoleInstancesByDeploymentId(
string
$serviceName, string
$deploymentId)
|
|
The Get Role Instances by Deployment Slot operation returns an array of arrays containing role instance information for each role instance associated with the deployment specified by Id.
Tags:
Parameters:
method getRoleInstancesByDeploymentSlot [line 1091]
Array getRoleInstancesByDeploymentSlot(
string
$serviceName, string
$deploymentSlot)
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The Get Role Instances by Deployment Slot operation returns an array of arrays containing role instance information for each role instance associated with the deployment specified by slot (staging or production).
Tags:
Parameters:
method getStorageAccountKeys [line 625]
array getStorageAccountKeys(
string
$serviceName)
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|
The Get Storage Keys operation returns the primary and secondary access keys for the specified storage account.
Tags:
Parameters:
method getStorageAccountProperties [line 590]
The Get Storage Account Properties operation returns the system properties for the specified storage account. These properties include: the address, description, and label of the storage account; and the name of the affinity group to which the service belongs, or its geo-location if it is not part of an affinity group.
Tags:
Parameters:
method getSubscriptionId [line 181]
string getSubscriptionId(
)
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|
Returns the Windows Azure subscription ID
Tags:
method listAffinityGroups [line 2051]
array listAffinityGroups(
)
|
|
The List Affinity Groups operation lists the affinity groups associated with the specified subscription.
Tags:
method listCertificates [line 1899]
array listCertificates(
string
$serviceName)
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|
The List Certificates operation lists all certificates associated with the specified hosted service.
Tags:
Parameters:
method listHostedServices [line 808]
array listHostedServices(
)
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|
The List Hosted Services operation lists the hosted services available under the current subscription.
Tags:
method listLocations [line 2246]
The List Locations operation lists all of the data center locations that are valid for your subscription.
Tags:
method listOperatingSystemFamilies [line 2335]
array listOperatingSystemFamilies(
)
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The List OS Families operation lists the guest operating system families available in Windows Azure, and also lists the operating system versions available for each family. Currently Windows Azure supports two operating system families: the Windows Azure guest operating system that is substantially compatible with Windows Server 2008 SP2, and the Windows Azure guest operating system that is substantially compatible with Windows Server 2008 R2.
Tags:
method listOperatingSystems [line 2288]
array listOperatingSystems(
)
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The List Operating Systems operation lists the versions of the guest operating system that are currently available in Windows Azure. The 2010-10-28 version of List Operating Systems also indicates what family an operating system version belongs to. Currently Windows Azure supports two operating system families: the Windows Azure guest operating system that is substantially compatible with Windows Server 2008 SP2, and the Windows Azure guest operating system that is substantially compatible with Windows Server 2008 R2.
Tags:
method listStorageAccounts [line 549]
array listStorageAccounts(
)
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The List Storage Accounts operation lists the storage accounts available under the current subscription.
Tags:
method listSubscriptionOperations [line 369]
array listSubscriptionOperations(
string
$startTime, string
$endTime, [string
$objectIdFilter = null], [string
$operationResultFilter = null], [string
$continuationToken = null])
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|
The List Subscription Operations operation returns a list of create, update, and delete operations that were performed on a subscription during the specified timeframe. Documentation on the parameters can be found at http://msdn.microsoft.com/en-us/library/gg715318.aspx.
Tags:
Parameters:
method rebootRoleInstanceByDeploymentId [line 1808]
void rebootRoleInstanceByDeploymentId(
string
$serviceName, string
$deploymentId, string
$roleInstanceName)
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The Reboot Role Instance operation requests a reboot of a role instance that is running in a deployment.
Tags:
Parameters:
method rebootRoleInstanceBySlot [line 1782]
void rebootRoleInstanceBySlot(
string
$serviceName, string
$deploymentSlot, string
$roleInstanceName)
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The Reboot Role Instance operation requests a reboot of a role instance that is running in a deployment.
Tags:
Parameters:
method regenerateStorageAccountKey [line 657]
array regenerateStorageAccountKey(
string
$serviceName, [string
$key = 'primary'])
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The Regenerate Keys operation regenerates the primary or secondary access key for the specified storage account.
Tags:
Parameters:
method reimageRoleInstanceByDeploymentId [line 1859]
void reimageRoleInstanceByDeploymentId(
string
$serviceName, string
$deploymentId, string
$roleInstanceName)
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The Reimage Role Instance operation requests a reimage of a role instance that is running in a deployment.
Tags:
Parameters:
method reimageRoleInstanceBySlot [line 1833]
void reimageRoleInstanceBySlot(
string
$serviceName, string
$deploymentSlot, string
$roleInstanceName)
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The Reimage Role Instance operation requests a reimage of a role instance that is running in a deployment.
Tags:
Parameters:
method setHttpClientChannel [line 161]
Set the HTTP client channel to use
Tags:
Parameters:
method setInstanceCountByDeploymentId [line 1445]
void setInstanceCountByDeploymentId(
string
$serviceName,
$deploymentId, string|array
$roleName, string|array
$instanceCount, string
$deploymentSlot)
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|
Updates a deployment's role instance count.
Tags:
Parameters:
method setInstanceCountBySlot [line 1415]
void setInstanceCountBySlot(
string
$serviceName, string
$deploymentSlot, string|array
$roleName, string|array
$instanceCount)
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|
Updates a deployment's role instance count.
Tags:
Parameters:
method swapDeployment [line 1162]
void swapDeployment(
string
$serviceName, string
$productionDeploymentName, string
$sourceDeploymentName)
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|
The Swap Deployment operation initiates a virtual IP swap between the staging and production deployment environments for a service. If the service is currently running in the staging environment, it will be swapped to the production environment. If it is running in the production environment, it will be swapped to staging.
Tags:
Parameters:
method updateAffinityGroup [line 2127]
void updateAffinityGroup(
string
$name, string
$label, [string
$description = ''])
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The Update Affinity Group operation updates the label and/or the description for an affinity group for the specified subscription.
Tags:
Parameters:
method updateDeploymentStatusByDeploymentId [line 1275]
void updateDeploymentStatusByDeploymentId(
string
$serviceName, string
$deploymentId, [string
$status = 'running'])
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|
The Update Deployment Status operation initiates a change in deployment status.
Tags:
Parameters:
method updateDeploymentStatusBySlot [line 1249]
void updateDeploymentStatusBySlot(
string
$serviceName, string
$deploymentSlot, [string
$status = 'running'])
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|
The Update Deployment Status operation initiates a change in deployment status.
Tags:
Parameters:
method updateHostedService [line 887]
void updateHostedService(
string
$serviceName, string
$label, [string
$description = ''])
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|
The Update Hosted Service operation updates the label and/or the description for a hosted service in Windows Azure.
Tags:
Parameters:
method updateStorageAccount [line 754]
void updateStorageAccount(
string
$serviceName, string
$label, string
$description)
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The Update Storage Account operation updates the label and/or the description for a storage account in Windows Azure.
Tags:
Parameters:
method upgradeDeploymentByDeploymentId [line 1650]
void upgradeDeploymentByDeploymentId(
string
$serviceName, string
$deploymentId, string
$label, string
$packageUrl, string
$configuration, [string
$mode = 'auto'], [string
$roleToUpgrade = null])
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|
The Upgrade Deployment operation initiates an upgrade.
Tags:
Parameters:
method upgradeDeploymentBySlot [line 1604]
void upgradeDeploymentBySlot(
string
$serviceName, string
$deploymentSlot, string
$label, string
$packageUrl, string
$configuration, [string
$mode = 'auto'], [string
$roleToUpgrade = null])
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|
The Upgrade Deployment operation initiates an upgrade.
Tags:
Parameters:
method waitForOperation [line 453]
Wait for an operation to complete
Tags:
Parameters:
method walkUpgradeDomainByDeploymentId [line 1740]
void walkUpgradeDomainByDeploymentId(
string
$serviceName, string
$deploymentId, [int
$upgradeDomain = 0])
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The Walk Upgrade Domain operation specifies the next upgrade domain to be walked during an in-place upgrade.
Tags:
Parameters:
method walkUpgradeDomainBySlot [line 1718]
void walkUpgradeDomainBySlot(
string
$serviceName, string
$deploymentSlot, [int
$upgradeDomain = 0])
|
|
The Walk Upgrade Domain operation specifies the next upgrade domain to be walked during an in-place upgrade.
Tags:
Parameters:
method _cleanConfiguration [line 2393]
string _cleanConfiguration(
string
$configuration)
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|
Clean configuration
Tags:
Parameters:
method _configureDeployment [line 1577]
void _configureDeployment(
string
$operationUrl, string
$configuration)
|
|
The Change Deployment Configuration request may be specified as follows. Note that you can change a deployment's configuration either by specifying the deployment environment (staging or production), or by specifying the deployment's unique name.
Tags:
Parameters:
method _convertXmlElementToDeploymentInstance [line 1318]
Converts an XmlElement into a Microsoft_WindowsAzure_Management_DeploymentInstance
Tags:
Parameters:
method _deleteDeployment [line 1232]
void _deleteDeployment(
string
$operationUrl)
|
|
The Delete Deployment operation deletes the specified deployment.
Tags:
Parameters:
method _getDeployment [line 1137]
The Get Deployment operation returns configuration information, status, and system properties for the specified deployment.
Tags:
Parameters:
method _getErrorMessage [line 310]
string _getErrorMessage(
$response, [string
$alternativeError = 'Unknown error.'])
|
|
Get error message from Microsoft_Http_Response
Tags:
Parameters:
method _parseResponse [line 280]
object _parseResponse(
[
$response = null])
|
|
Parse result from Microsoft_Http_Response
Tags:
Parameters:
method _performRequest [line 216]
Microsoft_Http_Response _performRequest(
[string
$path = '/'], [array
$query = array()], [string
$httpVerb = Microsoft_Http_Client::GET], [array
$headers = array()], [mixed
$rawData = null])
|
|
Perform request using Microsoft_Http_Client channel
Tags:
Parameters:
method _rebootOrReimageRoleInstance [line 1882]
void _rebootOrReimageRoleInstance(
string
$operationUrl, [string
$operation = 'reboot'])
|
|
Reboots or reimages a role instance.
Tags:
Parameters:
method _updateDeploymentStatus [line 1299]
void _updateDeploymentStatus(
string
$operationUrl, [string
$status = 'running'])
|
|
The Update Deployment Status operation initiates a change in deployment status.
Tags:
Parameters:
method _updateInstanceCountInConfiguration [line 1474]
void _updateInstanceCountInConfiguration(
string|array
$roleName, string|array
$instanceCount, string
$configuration)
|
|
Updates instance count in configuration XML.
Tags:
Parameters:
method _upgradeDeployment [line 1695]
void _upgradeDeployment(
string
$operationUrl, string
$label, string
$packageUrl, string
$configuration, string
$mode, string
$roleToUpgrade)
|
|
The Upgrade Deployment operation initiates an upgrade.
Tags:
Parameters:
method _walkUpgradeDomain [line 1761]
void _walkUpgradeDomain(
string
$operationUrl, [int
$upgradeDomain = 0])
|
|
The Walk Upgrade Domain operation specifies the next upgrade domain to be walked during an in-place upgrade.
Tags:
Parameters:
Class Constants
|
|


System X is a platform inside Windows. It consists of a virtual machine kernel and compilation tools that are Windows executables written in C++. At the moment it has also system libraries, some basic utility programs and a shell, all written in Cmajor. They are compiled to MMIX binary code that can be interpreted and executed by the sxx program executor.


If we wish to generate haiku, we must first understand what haiku are. Since its exposure to western audiences, its popularity as a poetic form has veritably exploded. As such, there are many online resources discussing the intricacy of the form. This is intended to be a general overview, as any attempt to do otherwise would do the form a disservice.
Haiku are a form of Japanese poetry. In their original form, they were the first three lines of a waka, also known as a tanka or uta. Waka are a five-line, 5-7-5-7-7 poem, that are often strung together into renga, which are a linked verse dialog between multiple poets.
Of these long poems, composed of many waka, the first three lines are called a hokku. The hokku are the most recognizable and impressionable verses of renga, and are analgous to the first verse and chorus of a song. Renga were composed in meetings of several poets, and it was common for poets to come prepared with pre-composed hokku.
These hokku are what is now referred to as haiku.
Upon sharing my work in haiku generation, the very first question that arises often has to do with the 5-7-5 syllabic structure. The common perception of haiku, is that it is a poem, composed of three lines of 5, 7, and 5 syllables each, with no further constraints. This is only partially true.
Haiku maintain a thematic structure as well.
It is difficult, even impossible, to maintain the original syllabic structure in translation from Japanese to English. Thus many translators have striven to match the style, theme, and mood of a Japanese haiku, and while maintaining its three-line structure, they abandon the strict syllabic requirement. Further, note that, as with any style of art, there was experimentation with a freer verse style, both in content and structure, long before the haiku grew to popularity in western culture.
Joan Giroux defines
A haiku is a 17-syllable poem arranged in three lines of 5, 7, and 5 syllable, having some reference to the season and expression the poet's union with nature.
in The Haiku Form.
Regardless of its definition, the dataset I have collected does not exhibit strict syllabic structure, but does seem to exhibit the strong seasonal and natural aspects that Giroux describes. Because a neural network model is only as good as its training dataset, I do not expect the generated haiku to follow the 5-7-5 syllabic structure, but I do expect them to exhibit strong natural themes.
Further, what interests me about this project has little to do with the particular poetic form under consideration, but the ability for a machine learning model to generate art, and in that respect, I believe my efforts have been categorically successful.


Type Cell
Namespace RogueSharp
Interfaces ICell
A class that defines a square on a Map with all of its associated properties
Methods
Properties
Public instance methods
bool Equals(object obj)
Determines whether two Cell instances are equal
Parameters
-
object
obj - The Object to compare this instance to
Returns
-
bool
- True if the instances are equal; False otherwise
bool Equals(ICell other)
Determines whether two Cell instances are equal
Parameters
-
ICell
other - The Cell to compare this instance to
Returns
-
bool
- True if the instances are equal; False otherwise
int GetHashCode()
Gets the hash code for this object which can help for quick checks of equality
or when inserting this Cell into a hash-based collection such as a Dictionary or Hashtable
Returns
-
int
- An integer hash used to identify this Cell
Type GetType()
string ToString()
Returns a string that represents the current DirectedEdge
Returns
-
string
- A string that represents the current DirectedEdge
string ToString(bool useFov)
Provides a simple visual representation of the Cell using the following symbols:
- `%`: `Cell` is not in field-of-view
- `.`: `Cell` is transparent, walkable, and in field-of-view
- `s`: `Cell` is walkable and in field-of-view (but not transparent)
- `o`: `Cell` is transparent and in field-of-view (but not walkable)
- `#`: `Cell` is in field-of-view (but not transparent or walkable)
Parameters
-
bool
useFov - True if field-of-view calculations will be used when creating the string representation of the Cell. False otherwise
Returns
-
string
- A string representation of the Cell using special symbols to denote Cell properties
Public properties
bool IsExplored get; set;
Check if the Cell is flagged as ever having been explored by the player
The explored property of a Cell can be used to track if the Cell has ever been in the field-of-view of a character controlled by the player This property will not automatically be updated based on FOV calculations or any other built-in functions of the RogueSharp library.
Show Example
As the player moves characters around a Map, Cells will enter and exit the currently computed field-of-view This property can be used to keep track of those Cells that have been "seen" and could be used to show fog-of-war type effects when rendering the map
bool IsInFov get; set;
Check if the Cell is in the currently computed field-of-view
For newly initialized maps a field-of-view will not exist so all Cells will return false
Field-of-view must first be calculated by calling ComputeFov and/or AppendFov
Field-of-view (FOV) is basically a calculation of what is observable in the Map from a given Cell with a given light radius
Show Example
Field-of-view can be used to simulate a character holding a light source and exploring a Map representing a dark cavern Any Cells within the FOV would be what the character could see from their current location and lighting conditions
bool IsTransparent get; set;
Get the transparency of the Cell i.e. if line of sight would be blocked by this Cell
Show Example
A Cell representing an empty stone floor would be transparent A Cell representing a glass wall could be transparent (even though it may not be walkable) A Cell representing a solid stone wall would not be transparent
bool IsWalkable get; set;
Get the walkability of the Cell i.e. if a character could normally move across the Cell without difficulty
Show Example
A Cell representing an empty stone floor would be walkable A Cell representing a glass wall may not be walkable (even though it could be transparent) A Cell representing a solid stone wall would not be walkable
int X get; set;
Gets the X location of the Cell starting with 0 as the farthest left
int Y get; set;
Y location of the Cell starting with 0 as the top


Main Page
Related Pages
Namespaces
Classes
Files
Todo List
Class
HumanInterface::GestureServer
Class
HumanInterface::Hand
Support for more tha one hand
Member
OpenCV::Bitmap::Histogram::calcPatchBackProjection
(const Image *, CvSize, float, int) const
Member
OpenCV::Bitmap::Image::operator*
(double)
Member
OpenCV::Bitmap::Image::operator*=
(double)
Member
OpenCV::VectorizedGraphics::OpticalObject::checkConvexity
()
Member
OpenCV::VectorizedGraphics::OpticalObject::convexHull
(int=Clockwise, int=0)
Member
OpenCV::VectorizedGraphics::OpticalObject::convexityDefects
(OpticalObject *, OpticalObject *)
Class
OpenCV::Tracking::QueuedTracking
Generated on Mon Jun 1 19:41:26 2009 for CVTrackpad by
1.5.9


This small library manages a class on the <body>
element, of the form user-prefers-theme-(light|dark)
. It reflects the user's system theme setting, or their preference for the current origin. A callback can be registered so that you can update a theme UI on your page when either preference is updated.
How might you use it?
Simply load the script and it's functionally the same as using the prefers-color-scheme
media query (the class on <body>
will reflect changes to the system setting).
Call the API to set your visitor's preferred theme: their preference will be saved and the class on <body>
will be updated if need be.
Register a callback so you can update theme-related UI on your page in response to system or visitor preference changes.
Some design notes…
No UI is provided; you're free to devise one that suits.
Light mode is assumed to be the default (the no-preference
CSS value is taken to mean light mode).
The user's choice will persist (localStorage
is used).
The API can be found below.
Here's a basic UI. You can manually switch between light and dark mode at system level and then check this page's appearance and the readout below.
Most of the tests are automatic, with several running when this page loads. Some of them might cause a flash in your browser, so they must be instigated manually. Finally, some tests need your help in changing the system theme setting. Test results can be found in the console.
Internet Explorer 11
Firefox 68 (macOS, Windows)
Chrome 75 (macOS, Windows)
Safari 12 (macOS and iOS)
Test notes:
Only Firefox and Safari reflect the system's theme setting. (Chrome and Edge 76 are expected to support the system theme setting, though.)
The first test requiring user assistance doesn't work in Safari 12 (macOS), nor Firefox 68 on Windows, but it does work in Firefox on macOS, so these are assumed to be problems with Safari and Windows. Outside of the test, the system setting is tracked.
Load user-prefers-theme.js
via a script
tag—either in the <head>
element with the defer
attribute set (recommended, as it allows the script to be downloaded in parallel), or at the end of your document's <body>
. It will start managing the class applied to the <body>
element.
The following functions are exported.
window.userPrefersThemeListener(callback)
Register a callback that will be passed either the system theme setting, or the user's preference for the current origin.
The callback will be called immediately, and whenever the system or user preference changes (the latter takes precedence, as described below). It is passed the string 'light' or 'dark'.
Calling this again replaces any previously-registered callback.
window.userPrefersTheme('light'|'dark')
Switch to the given theme, and save the user's preference for it (on this origin). The preference is persisted indefinitely, and stops the automatic tracking of the system theme setting.
Values other than 'light' or 'dark' will cause an error to be thrown.
If the theme requested is the same as the current one, the user's preference will be saved, but the callback won't be run.
window.userPrefersThemeNeither()
Used to remove an existing preference for light or dark theme on this origin, and return to tracking the system setting.
If the current system setting and previously user-preferred theme differ, then the class on <body>
will be updated and the callback run.
The prefers-color-scheme
media query is used in an event-driven way, via JavaScript, to detect the system preference, and when it changes.
The user's direct preference is managed and stored using localStorage
.


Guestbook
Your new message:
Author:
*
Message:
*
Existing messages in guestbook:
Author
Text
Creation date


Front End Dev
profile
Creating user interface designs and production-ready frontend code has always been my hobby and I want to turn it into a long-term career in web development.
contact me
+38 097 360 32 60<EMAIL_ADDRESS>Ukraine
professionsl skills
-
CSS Frameworks
-
NodeJS
-
Flexbox / Grid
-
DOM Manipulation
-
HTML Semantic
-
Pug
-
Data APIs
-
PHP
-
Wordpress
my projects
work experience
-
MyBiz
OCT 2018 - CURRENT
Front End developer. Tech stack: HTML/CSS/JS Responsibilities: Delivering user interface of an on-line accounting service
-
FREELANCE
SEP 2017 - CURRENT
Front End developer Tech stack: HTML, CSS, JS, PHP/Word-press, React/Redux, CSS Frameworks Responsibilities: Building web-sites and landing pages from the ground up: information gathering, planning, design, development, testing and maintenance; working with a team of developers to deliver user interface and production-ready front-end code
-
STREET SHOES
SEP 2017 - DEC 2017
WEB master remotely Tech stack: HTML, CSS, JS/Jquery, PHP, Responsibilities: Delivering landing pages, making corrections into existing landing pages, registration of domain names, web-site deployment.
-
BROTHERS LTD
SEP 2007 - CURRENT
Chief Accountant
proficiency
-
HTML5
-
CSS3
-
JAVASCRIPT
-
REACT
education
-
Udemy, WebForMySelf, Stepik
2017-2019
JS, PHP OOP, React/Redux, Wordpress, React-Materialize, NodeJS, algorithms
-
GoIT
APR 2018 – SEP 2018
Class PHP + Wordpress
-
GoIT
JAN 2018 - MAY 2018
Class React/Redux + NodeJS
-
GoIT
FEB 2017 - SEP 2017
Class Front End
-
MASTER DEGREE
SEP 2003 - MAY 2004
Ukrainian academy of foreign trade: Manager FEA
-
BACHELORES DEGREE
SEP 1999 - MAY 2003
Ukrainian academy of foreign trade: Economy.
personal skills
-
CREATIVE
-
INNOVATE
-
TEAM WORK
-
MULTITASKING
language skills
-
Enlish - pre-intermediate
-
German - basic


Switch to the History view.
Locate the search field in the upper right corner of the window.
Click on the search field icon inside the search field and choose "Search By Keyword" (This is the default).
Enter the keyword in the search field.
Switch to the History view.
Locate the search field in the upper right corner of the window.
Click on the search field icon inside the search field and choose "Search By Revision ID".
Enter the revision id in the search field.
Switch to the History view.
Locate the search field in the upper right corner of the window.
Click on the search field icon inside the search field and choose "Search By Revset Query".
Enter the revset query in the search field.
Mercurial supports a functional language for selecting a set of revisions. These revision specifications are called "revsets".
The language supports a number of predicates which are joined by infix operators. Parenthesis can be used for grouping.
Identifiers such as branch names must be quoted with single or double quotes if they contain characters outside of "[._a-zA-Z0-9\x80-\xff]" or if they match one of the predefined predicates.
Special characters can be used in quoted identifiers by escaping them, e.g., "\n" is interpreted as a newline. To prevent them from being interpreted, strings can be prefixed with "r", e.g. "r'...'".
"not x"
Changesets not in x. Short form is "! x".
"x::y"
A DAG range, meaning all changesets that are descendants of x and ancestors of y, including x and y themselves. If the first endpoint is left out, this is equivalent to "ancestors(y)", if the second is left out it is equivalent to "descendants(x)". An alternative syntax is "x..y".
"x:y"
All changesets with revision numbers between x and y, both inclusive. Either endpoint can be left out, they default to 0 and tip.
"x and y"
The intersection of changesets in x and y. Short form is "x & y".
"x or y"
The union of changesets in x and y. There are two alternative short forms: "x | y" and "x + y".
"x - y"
Changesets in x but not in y.
"x^n"
The nth parent of x, n == 0, 1, or 2. For n == 0, x; for n == 1, the first parent of each changeset in x; for n == 2, the second parent of changeset in x.
"x~n"
The nth first ancestor of x; "x~0" is x; "x~3" is "x^^^".
"x^"
Equivalent to "x^1", the first parent of each changeset in x.
"adds(pattern)"
Changesets that add a file matching pattern.
"all()"
All changesets, the same as "0:tip".
"ancestor(single, single)"
Greatest common ancestor of the two changesets.
"ancestors(set)"
Changesets that are ancestors of a changeset in set.
"author(string)"
Alias for "user(string)".
"bisected(string)"
Changesets marked in the specified bisect state (good, bad, skip).
"bookmark([name])"
The named bookmark or all bookmarks.
"branch(string or set)"
All changesets belonging to the given branch or the branches of the given changesets.
"children(set)"
Child changesets of changesets in set.
"closed()"
Changeset is closed.
"committer([user])"
Changesets with committer [matching the given user].
"contains(pattern)"
Revision contains a file matching pattern. See "hg help patterns" for information about file patterns.
"date(interval)"
Changesets within the interval, see "hg help dates".
"desc(string)"
Search commit message for string. The match is case-insensitive.
"descendants(set)"
Changesets which are descendants of changesets in set.
"file(pattern)"
Changesets affecting files matched by pattern.
"filelog(pattern)"
Changesets connected to the specified filelog.
"follow([file])"
An alias for "::." (ancestors of the working copy's first parent). If a filename is specified, the history of the given file is followed, including copies.
"grep(regex)"
Like "keyword(string)" but accepts a regex. Use "grep(r'...')" to ensure special escape characters are handled correctly. Unlike "keyword(string)", the match is case-sensitive.
"head()"
Changeset is a named branch head.
"heads(set)"
Members of set with no children in set.
"id(string)"
Revision non-ambiguously specified by the given hex string prefix.
"keyword(string)"
Search commit message, user name, and names of changed files for string. The match is case-insensitive.
"last(set, n)"
Last n members of set.
"limit(set, n)"
First n members of set.
"max(set)"
Changeset with highest revision number in set.
"merge()"
Changeset is a merge changeset.
"min(set)"
Changeset with lowest revision number in set.
"modifies(pattern)"
Changesets modifying files matched by pattern.
"mq()"
Changesets managed by MQ.
"outgoing([path])"
Changesets not found in the specified destination repository, or the default push location.
"p1([set])"
First parent of changesets in set, or the working directory.
"p2([set])"
Second parent of changesets in set, or the working directory.
"parents([set])"
The set of all parents for all changesets in set, or the working directory.
"present(set)"
An empty set, if any revision in set isn't found; otherwise, all revisions in set.
"removes(pattern)"
Changesets which remove files matching pattern.
"rev(number)"
Revision with the given numeric identifier.
"reverse(set)"
Reverse order of set.
"roots(set)"
Changesets with no parent changeset in set.
"sort(set[, [-]key...])"
Sort set by keys. The default sort order is ascending, specify a key as "-key" to sort in descending order.
The keys can be:
- "rev" for the revision number,
- "branch" for the branch name,
- "desc" for the commit message (description),
- "user" for user name ("author" can be used as an alias),
- "date" for the commit date
"tag([name])"
The specified tag by name, or all tagged revisions if no name is given.
"user(string)"
User name contains string. The match is case-insensitive.
New predicates (known as "aliases") can be defined, using any combination of existing predicates or other aliases. An alias definition looks like:
alias = definition
in the "revsetalias" section of a Mercurial configuration file. Arguments of the form "$1", "$2", etc. are substituted from the alias into the definition.
For example,
[revsetalias] h = heads() d($1) = sort($1, date) rs($1, $2) = reverse(sort($1, $2))
defines three aliases, "h", "d", and "rs". "rs(0:tip, author)" is exactly equivalent to "reverse(sort(0:tip, author))".
Changesets on the default branch:
hg log -r "branch(default)"
Changesets on the default branch since tag 1.5 (excluding merges):
hg log -r "branch(default) and 1.5:: and not merge()"
Open branch heads:
hg log -r "head() and not closed()"
Changesets between tags 1.3 and 1.5 mentioning "bug" that affect "hgext/*":
hg log -r "1.3::1.5 and keyword(bug) and file('hgext/*')"
Changesets committed in May 2008, sorted by user:
hg log -r "sort(date('May 2008'), user)"
Changesets mentioning "bug" or "issue" that are not in a tagged release:
hg log -r "(keyword(bug) or keyword(issue)) and not ancestors(tagged())"


Manoj G
Senior Software Engineer
Bangalore, India.
<EMAIL_ADDRESS>I'm a Senior Software Engineer having 7 years experience in working on various technologies like AngularJs, Angular, React, Javascript, NodeJs, Typescript, HTML5, CSS3, SpringBoot, PostgresSQL. My professional mission is not to be an "individual contributor", but a key individual who succeeds in maximizing the contributions of the entire team. Building for the Web is my passion and has been since I built my first web app using AngularJS. I am almost entirely self-taught and always learning. Other interest include blogging, meetups, travelling.
Experience
Senior Software Engineer at General Electric India Pvt Ltd (GE Aviation), July, 2017 - Current
- Versed in complete software life cycle from preliminary needs analysis to enterprise-wide deployment and support.
- Full stack app development using Angular, Spring Microservices and NodeJS using Agile Framework.
- Worked closely with global customers spanning two time zones to resolve UI/UX, Production and Customer feedback issues.
- Worked with project managers, developers, quality assurance and customers to resolve technical issues.
- Built reusable UI components with Angular that can be scaled with data.
- Took ownership of managing & maintaining digital security (SAST&DAST) for 4 pods/teams.
- Optimized the performance of an UI component to load from 12 seconds to 3 seconds
- Nominated as a focal and underwent trainings for Aviation Operating System (Six Sigma, LEAN, CAP)
Software Developer at Reactore Solutions Pvt Ltd, Nov, 2013 - July 2017
- Translate designs to front-end code, estimate time and costs, and determine developer requirements and specifications.
- Collaborate with creative and development teams on the execution of ideas and projects.
- Promote and communicate new ideas, process improvements and new technologies to team members and leadership.
- Write maintainable, scalable, testable code.
- Git based development and jenkins release management
Projects
Global Shop Visit Forecast
Global Shop Visit Forecasting tool will help connect Fleet removal uncertainty (Demand) with available Shop Capacity (Supply) and allows attack Turnaround Time (TAT) to serve the customers, keep engines flying and eliminate costly pool expenses.
MEAN
- Mean Average Percent Error is the dashboard showcasing the calculation of accuracy in a forecast against the latest available actual
- Customized plotly charts showing the variances in forecasting level
- Ability to filter out based on various parameters like Shops, Customers and engine models
RBA
- Rule based analytics is a rule based approach to predict the module workscope level based on parameters including removal reason and engine removal time
Intelligent Slot Tracker
IST helps to optimize shop slot usage and maximize overhaul shop capacity by improving forecast planning, communication and visibility across all shops and engine line teams
- Reduced risk of leased engine delays
- Reduced percentage of missed slots
- Gained NPS value of 9
Operational Plan module
- Integration with data and modules across the value chain for an all-encompassing and interconnected approach to mine planning.
-
Mine Specific project management – translate the strategic plan into a daily WBS activity scheduling and track progress in real time to achieve objectives.
-
Create an operational wide mine plan that goes beyond mining and includes beneficiation, revenue aspects and all other auxiliary concerns.
-
Reporting on demand and at the user’s fingertips with operational wide summary reports to gauge the performance of your entire operation in a single page view.
Asset module
- Remove the complexity of managing diverse asset portfolios with powerful, efficient, optimized asset tracking, scheduling and management tools.
-
A comprehensive maintenance record for each asset allowing the user to make informed decisions when creating a maintenance strategy.
- Extensive work order management features including work order request workflow, work order distribution and closure
-
Dashboard showcasing maintenance and engineering performance using a wide range of KPI’s and analytic tools and reports
Sales and Distribution module
- Optimised fleet utilisation
- Capacity planning and performance fine tuning, assisted by machine learning technology
- Streamlined fleet assignment based on multiple parameters, including resource availability and turnaround time
Framework development
- Lead a team to develop in house framework for Reactore ERP product
- Typescript/AngularJS/NodeJS based framework
- Advanced JS development
- Git based development and jenkins release management
Open source Projects
Skills
- Languages
- HTML5, Typescript, JavaScript, CSS3, Java
- Javascript frameworks/libraries
- AngularJS, Angular, React, Bootstrap
- Architecture
- Component Based, REST, MEAN stack
- Mobile
- Ionic, Cordova development
- Databases
- Mysql, Postgress
- Development tools / CI/CD
- Git, Jenkins, Eclipse, Intellij, Spring Tools Suite, VSCode, Jenkins
- Security tools / Automation pipeline/ Code Coverage
- SAST, DAST, Checkmarx, Whitesource, SonarCube, Cobertura


About Me
My name is Cliff Horvick. I am starting a new career as a web developer. I've worked for twenty five yeras in the consumer finance and mortgage business. My experience in sales, underwriting, funding, servicing, collection and portfolio management for profitability is extensive. I have supervised and trained many successful teams and from 2004 until 2012 was a Regional Manager for a major financial organization in the Philadelphia area. I supervised up to ten full service offices at once and had staff of over sixty people reporting directly to me and/or my direct reports. As I complete my education as a web developer I will draw from my experience and skills learned from my present occupation. As someone with a strong understanding of reading credit reports, modern payment systems, the challenges of meeting customer expectations in the age of mobile devices and knowing all aspects of what financial organizations must do for compliance and security behind the scenes I will be a web designer who will truly understand the needs of my clients and employers.


24 Feb 1955 - Steven Paul was born in San Francisco, the son of Abdulfattah Jandali and Joanne Schieble. He is quickly adopted by Paul and Clara Jobs
1960 - The Jobs family moves from San Francisco to Mountain View, a suburban town in Santa Clara county, more famous under the name Silicon Valley
1 Apr 1976- Apple Computer Inc. is incorporated by Steve Jobs, Steve Wozniak and Ron Wayne
1976 - Steve and Woz start assembling Apple I computers in the Jobses' garage, and sell them to computer hobbyists, including 50 for the Byte Shop
1978 - The Apple II becomes the first mass-market personal computer, with impressive sales around the US. Apple becomes a symbol of the personal computing revolution
"He was a historical figure on the scale of a Thomas Edison or Henry Ford, and set the mold for many other corporate leaders in many other industries"
If you have time, you should read more about this incredible human being on his Wikipedia entry.


Question 1: 11.96
Question 2: x = b0 +b1M +b2M2 with {b0, b1, b2} = {-0.962, 0.2770, -0.0007627}, as developed below. For M=55, this leads to the answer to Question 1.
First we consider a linear fit. (That obviously won’t work very well because the transfer curve shown in previous panels does not have a constant slope, but this approach is still instructive.) A common error is to find the regression fit giving M as a function of x, which for this case gives M = a1 +a2x with a1=-2.752 and a2=5.1159. Use the “help with fitting” tab and select polynomial order 1 and select the “M=f(x)” checkbox. Watch the resulting fit when you uncheck that checkbox. Notice that it changes slightly. The change is small because in this case the correlation coefficient is high (0.9934), but the difference between the two regression lines increases as the correlation decreases. Which should we use? We will use the calibration to determine estimates of the measurand x corresponding to measurements M, so we want to minimize the error in x for a given M. That is represented best by the second regression fit giving x as a function of M. So we recommend leaving that check-box unchecked.
The residual standard deviation of the calibration values for x, given M, from that regression line is 0.6967. That is not very good, and the deviations are systematic, so it is justified to try a higher-order fit. Using a linear-model fit to determine coefficients for a relationship x = b1 +b2M +b3M2 leads to coefficients -0.9624, 0.277 and -7.6267×10-4 . Use the “help with fitting” tab with a 2nd-order polynomial to see this fit. Using these coefficients leads to our answer for x given M = 55: 11.96. The residual standard deviation for the new fit is 0.3266, so the improvement is significant. Studies of this sensor by other means indicate that its precision is about 1.5 units in the measurement M, so with a representative slope of about b2 the expected precision in estimates of the measurand x is expected to be about 0.4155. This result is reasonably consistent with the expected precision in measurements, and that comparison suggests that there won’t be much meaningful improvement with higher-order polynomials.
If a third-order polynomial is used in the fit, the residual standard deviation reduces only to 0.2867, so inclusion of that term does not give any significant improvement in the fit. (The decision regarding which terms are justified is often made on the basis of an analysis of variance, which in this case indicates that the addition of a cubic term to the equation does not lead to statistically significant improvement.) Higher-order fits can lead to problems, as illustrated in the “more” tab, so it is not wise to use fits that are higher order than needed.


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Picked up friend from the train station, now working at home. Confirmed that my personal laptop's wide keyboard has now utterly spoiled me.
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ExpEYES-17 : Your Lab @ Home!
- A tool for learning science by exploring and experimenting.
- 50 documented experiments and easy to add more.
- Wide range: High school and above.
- 4 channel Oscilloscope, 1Msps, +/-16V input range. Programmable voltage ranges
- Sine/Triangular Wave Generator, 5Hz to 5kHz
- Programmable voltage sources, +/5V and +/-3.3V
- Frequency Counter and time measurements.
- Supports I2C standard sensors
- 12-bit analog resolution.
- Open Hardware and Free Software.
- Software in Python programming language.
- Requires USB port and Python
Oscilloscope Utility Introduction: Click to play
An example experiment: RLC phase shifts
Directly record data from sensors


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