SUBROUTINE SSYRK(UPLO,TRANS,N,K,ALPHA,A,LDA,BETA,C,LDC) * .. Scalar Arguments .. REAL ALPHA,BETA INTEGER K,LDA,LDC,N CHARACTER TRANS,UPLO * .. * .. Array Arguments .. REAL A(LDA,*),C(LDC,*) * .. * * Purpose * ======= * * SSYRK performs one of the symmetric rank k operations * * C := alpha*A*A' + beta*C, * * or * * C := alpha*A'*A + beta*C, * * where alpha and beta are scalars, C is an n by n symmetric matrix * and A is an n by k matrix in the first case and a k by n matrix * in the second case. * * Arguments * ========== * * UPLO - CHARACTER*1. * On entry, UPLO specifies whether the upper or lower * triangular part of the array C is to be referenced as * follows: * * UPLO = 'U' or 'u' Only the upper triangular part of C * is to be referenced. * * UPLO = 'L' or 'l' Only the lower triangular part of C * is to be referenced. * * Unchanged on exit. * * TRANS - CHARACTER*1. * On entry, TRANS specifies the operation to be performed as * follows: * * TRANS = 'N' or 'n' C := alpha*A*A' + beta*C. * * TRANS = 'T' or 't' C := alpha*A'*A + beta*C. * * TRANS = 'C' or 'c' C := alpha*A'*A + beta*C. * * Unchanged on exit. * * N - INTEGER. * On entry, N specifies the order of the matrix C. N must be * at least zero. * Unchanged on exit. * * K - INTEGER. * On entry with TRANS = 'N' or 'n', K specifies the number * of columns of the matrix A, and on entry with * TRANS = 'T' or 't' or 'C' or 'c', K specifies the number * of rows of the matrix A. K must be at least zero. * Unchanged on exit. * * ALPHA - REAL . * On entry, ALPHA specifies the scalar alpha. * Unchanged on exit. * * A - REAL array of DIMENSION ( LDA, ka ), where ka is * k when TRANS = 'N' or 'n', and is n otherwise. * Before entry with TRANS = 'N' or 'n', the leading n by k * part of the array A must contain the matrix A, otherwise * the leading k by n part of the array A must contain the * matrix A. * Unchanged on exit. * * LDA - INTEGER. * On entry, LDA specifies the first dimension of A as declared * in the calling (sub) program. When TRANS = 'N' or 'n' * then LDA must be at least max( 1, n ), otherwise LDA must * be at least max( 1, k ). * Unchanged on exit. * * BETA - REAL . * On entry, BETA specifies the scalar beta. * Unchanged on exit. * * C - REAL array of DIMENSION ( LDC, n ). * Before entry with UPLO = 'U' or 'u', the leading n by n * upper triangular part of the array C must contain the upper * triangular part of the symmetric matrix and the strictly * lower triangular part of C is not referenced. On exit, the * upper triangular part of the array C is overwritten by the * upper triangular part of the updated matrix. * Before entry with UPLO = 'L' or 'l', the leading n by n * lower triangular part of the array C must contain the lower * triangular part of the symmetric matrix and the strictly * upper triangular part of C is not referenced. On exit, the * lower triangular part of the array C is overwritten by the * lower triangular part of the updated matrix. * * LDC - INTEGER. * On entry, LDC specifies the first dimension of C as declared * in the calling (sub) program. LDC must be at least * max( 1, n ). * Unchanged on exit. * * * Level 3 Blas routine. * * -- Written on 8-February-1989. * Jack Dongarra, Argonne National Laboratory. * Iain Duff, AERE Harwell. * Jeremy Du Croz, Numerical Algorithms Group Ltd. * Sven Hammarling, Numerical Algorithms Group Ltd. * * * .. External Functions .. LOGICAL LSAME EXTERNAL LSAME * .. * .. External Subroutines .. EXTERNAL XERBLA * .. * .. Intrinsic Functions .. INTRINSIC MAX * .. * .. Local Scalars .. REAL TEMP INTEGER I,INFO,J,L,NROWA LOGICAL UPPER * .. * .. Parameters .. REAL ONE,ZERO PARAMETER (ONE=1.0E+0,ZERO=0.0E+0) * .. * * Test the input parameters. * IF (LSAME(TRANS,'N')) THEN NROWA = N ELSE NROWA = K END IF UPPER = LSAME(UPLO,'U') * INFO = 0 IF ((.NOT.UPPER) .AND. (.NOT.LSAME(UPLO,'L'))) THEN INFO = 1 ELSE IF ((.NOT.LSAME(TRANS,'N')) .AND. + (.NOT.LSAME(TRANS,'T')) .AND. + (.NOT.LSAME(TRANS,'C'))) THEN INFO = 2 ELSE IF (N.LT.0) THEN INFO = 3 ELSE IF (K.LT.0) THEN INFO = 4 ELSE IF (LDA.LT.MAX(1,NROWA)) THEN INFO = 7 ELSE IF (LDC.LT.MAX(1,N)) THEN INFO = 10 END IF IF (INFO.NE.0) THEN CALL XERBLA('SSYRK ',INFO) RETURN END IF * * Quick return if possible. * IF ((N.EQ.0) .OR. (((ALPHA.EQ.ZERO).OR. + (K.EQ.0)).AND. (BETA.EQ.ONE))) RETURN * * And when alpha.eq.zero. * IF (ALPHA.EQ.ZERO) THEN IF (UPPER) THEN IF (BETA.EQ.ZERO) THEN DO 20 J = 1,N DO 10 I = 1,J C(I,J) = ZERO 10 CONTINUE 20 CONTINUE ELSE DO 40 J = 1,N DO 30 I = 1,J C(I,J) = BETA*C(I,J) 30 CONTINUE 40 CONTINUE END IF ELSE IF (BETA.EQ.ZERO) THEN DO 60 J = 1,N DO 50 I = J,N C(I,J) = ZERO 50 CONTINUE 60 CONTINUE ELSE DO 80 J = 1,N DO 70 I = J,N C(I,J) = BETA*C(I,J) 70 CONTINUE 80 CONTINUE END IF END IF RETURN END IF * * Start the operations. * IF (LSAME(TRANS,'N')) THEN * * Form C := alpha*A*A' + beta*C. * IF (UPPER) THEN DO 130 J = 1,N IF (BETA.EQ.ZERO) THEN DO 90 I = 1,J C(I,J) = ZERO 90 CONTINUE ELSE IF (BETA.NE.ONE) THEN DO 100 I = 1,J C(I,J) = BETA*C(I,J) 100 CONTINUE END IF DO 120 L = 1,K IF (A(J,L).NE.ZERO) THEN TEMP = ALPHA*A(J,L) DO 110 I = 1,J C(I,J) = C(I,J) + TEMP*A(I,L) 110 CONTINUE END IF 120 CONTINUE 130 CONTINUE ELSE DO 180 J = 1,N IF (BETA.EQ.ZERO) THEN DO 140 I = J,N C(I,J) = ZERO 140 CONTINUE ELSE IF (BETA.NE.ONE) THEN DO 150 I = J,N C(I,J) = BETA*C(I,J) 150 CONTINUE END IF DO 170 L = 1,K IF (A(J,L).NE.ZERO) THEN TEMP = ALPHA*A(J,L) DO 160 I = J,N C(I,J) = C(I,J) + TEMP*A(I,L) 160 CONTINUE END IF 170 CONTINUE 180 CONTINUE END IF ELSE * * Form C := alpha*A'*A + beta*C. * IF (UPPER) THEN DO 210 J = 1,N DO 200 I = 1,J TEMP = ZERO DO 190 L = 1,K TEMP = TEMP + A(L,I)*A(L,J) 190 CONTINUE IF (BETA.EQ.ZERO) THEN C(I,J) = ALPHA*TEMP ELSE C(I,J) = ALPHA*TEMP + BETA*C(I,J) END IF 200 CONTINUE 210 CONTINUE ELSE DO 240 J = 1,N DO 230 I = J,N TEMP = ZERO DO 220 L = 1,K TEMP = TEMP + A(L,I)*A(L,J) 220 CONTINUE IF (BETA.EQ.ZERO) THEN C(I,J) = ALPHA*TEMP ELSE C(I,J) = ALPHA*TEMP + BETA*C(I,J) END IF 230 CONTINUE 240 CONTINUE END IF END IF * RETURN * * End of SSYRK . * END


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Fragments
Define an insertion cassette as a fragment first, annotate the fragment, then easily insert the fragment into a genome.
Add new fragment


meteoJS.timeline.animation
Example with a timeline of 13 times. You can
start/stop (Object meteoJS.timeline.animation.button
),
change velocity (Option: imagePeriod
/imageFrequency
, Method: setImagePeriod
/setImageFrequency
) and
change pause time before restart of animation (Option: restartPause
, method: setRestartPause
).
The effective time before a restart is the addition of imagePeriod
and restartPause
.


Gold loses momentum ahead of $1,480 as focus remains on trade, FOMC
by Eren Sengezer- Wall Street looks to open in negative territory on Wednesday.
- US Dollar Index clings to recovery gains near 98.
- 10-year US Treasury bond yield loses more than 2%.
The XAU/USD pair extended its steady recovery that started last week and touched a fresh two-week high of $1,479 before losing its traction ahead of the American session. As of writing, the pair was trading at $1,473.50.
US-China trade headlines continue to affect risk sentiment
The lack of clarity on the United States (US)-China trade dispute has been weighing on the market sentiment since the start of the week and allowing safe-haven assets such as the precious metal find demand.
On Tuesday, US President Donald Trump reiterated his willingness to raise tariffs on Chinese imports if they failed to reach a trade deal. Moreover, the US Senate approved the Hong Kong human rights bill to revive concerns over this development hurting the possibility of finalizing a deal.
However, CNBC's Beijing Bureau Chief Eunice Yoon in the last hour reported that China was not looking to link the Hong Kong bill to trade negotiations and helped the market sentiment improved slightly. Nevertheless, the 10-year US Treasury bond yield is still down more than 2% on a daily basis and Wall Street's main indexes look to open in the negative territory with futures posting modest losses ahead of the opening bell.
In the second half of the day, the Federal Open Market Committee (FOMC) will release the minutes of its October meeting and investors will look for fresh clues on the near-term policy outlook. Ahead of this event, the US Dollar Index is up 0.18% on the day at 98, making it difficult for the pair to preserve its bullish momentum.
Technical levels to watch for
XAU/USD
| Overview | |
|---|---|
| Today last price | 1473.72 |
| Today Daily Change | 1.23 |
| Today Daily Change % | 0.08 |
| Today daily open | 1472.49 |
| Trends | |
|---|---|
| Daily SMA20 | 1483.7 |
| Daily SMA50 | 1491.93 |
| Daily SMA100 | 1480.71 |
| Daily SMA200 | 1395.85 |
| Levels | |
|---|---|
| Previous Daily High | 1475.43 |
| Previous Daily Low | 1465.08 |
| Previous Weekly High | 1474.6 |
| Previous Weekly Low | 1445.8 |
| Previous Monthly High | 1519.04 |
| Previous Monthly Low | 1455.5 |
| Daily Fibonacci 38.2% | 1471.47 |
| Daily Fibonacci 61.8% | 1469.03 |
| Daily Pivot Point S1 | 1466.57 |
| Daily Pivot Point S2 | 1460.64 |
| Daily Pivot Point S3 | 1456.21 |
| Daily Pivot Point R1 | 1476.92 |
| Daily Pivot Point R2 | 1481.35 |
| Daily Pivot Point R3 | 1487.28 |


| Document number: | D3461=12-0151 |
| Date: | 2012-10-15 |
| Project: | Programming Language C++ |
| Reply-to: | Beman Dawes <bdawes at acm dot org> |
This paper proposes a filesystem library component suitable for a C++ Standard Library Technical Specification or for the C++ Standard Library. The proposed library is based on the Boost Filesystem Library, version 3. Proposed wording is provided. A TODO list identifies remaining work to be done.
The proposal is a pure addition; no existing standard library headers are modified.
No existing code is broken by this proposal, assuming the usual namespace
discipline caveats. No
special compiler or runtime support is required, although C++11 features are used where appropriate. The
entire library is in a namespace within namespace std
.
The Boost version of the library has been in widespread use for ten years. The Dinkumware version of the library, based on N1975 (equivalent to version 2 of the Boost library), ships with Microsoft Visual C++ 2012.
The motivation and scope for a filesystem library were described in N1975, and are not repeated here.
In the Boost library, class path
has facilities to handle narrow
(i.e. char
) character strings with encodings other than the
operating system's native encoding. These facilities have been removed from the
Filesystem library proposal. Instead, proposal
N3398, String Interoperation Library,
provides general facilities that also handle the class path
use
cases.
Otherwise, the proposal is very similar to the Boost library. Indeed, the proposed wording is generated from the same source as the Boost library's reference documentation.
Nxxxx=12-xxxx, Filesystem Library Proposal (Revision 4). Changes include:
charset=utf-8
.codecvt
facilities to class path
;
relatively minimal compared to the Boost design, touching far fewer
signatures, avoiding locale dependencies, and providing explicit support for
UTF-8. Provide UTF-8 conversion example.operator string_type() const;
to class path
.
Microsoft and Dinkumware are already shipping this in their implementations.
It provides a reasonable level of interoperation with standard library file
steam constructors and opens without modifying existing standard library
classes or headers.N3399=12-0089, Filesystem Library Proposal (Revision 3). Changes include:
path::operator+=
and concat
functions to tack on things like suffixes
or numbers. Suggested by Ed Smith-Rowland and others.time_t
with file_time_type
, a
typedef for std::chrono::system_clock::time_point
, per LWG
discussion in Kona.error_code&
arguments that encounter
an error. recursive_directory_iterator
specifications are now given in
terms of behavior only. Private "for exposition only" members have been
removed.recursive_directory_iterator
functions
no_push_pending()
and no_push()
have been renamed
recursion_pending()
and disable_recursion_pending()
.
Option constant name recurse
has been renamed
follow_directory_symlinks
. These are responses to a request from
Ed Smith-Rowland to improve clarity by reducing negative logic.recursive_directory_iterator
option
skip_permission_denied
has been added to skip directories with
permission denied, responding to several user requests.symlink_option
has been renamed
directory_options
, since it has become more general and now covers both
follow_directory_symlinks
and skip_permission_denied
options. copy_directory
.path::string
and
path::generic_string
to the same as std::basic_string
in response to comments from the FSG.initial_path()
operational function. The functionality
as currently specified is trivial for a user to duplicate using
current_path()
. The original spec for initial_path()
required support from the runtime library. That doesn't appear to be
practical, and without it the motivation for the function is too weak for
standardization.<fstream>
header. The LWG
does not wish to require modifications existing headers. Also, the Dinkumware/Microsoft version
of the library has come up with a clever way to make class path
work with the existing <fstream>
classes constructors and open
functions.directory_entry
as a Source
in [path.req].
It was Boost specific and is inappropriate for the standard library.recursive_directory_iterator::level()
to
depth()
.enum file_type
to enum class file_type
,
simplify constant names, supply explicit values for constant names; per FSG
discussions.copy_directory
function to
create_directory
to more clearly reflect semantics per FSG
discussions.copy_options
in response to FSG
discussions..copy()
and
file_copy()
per FSG
discussions.replace_filename()
, suggested by
Robert Stewart and others.noexcept
.constexpr
.<cuchar>
conversion facilities.N3365=12-0055, Filesystem Library Proposal (Revision 2). Changes include:
std::tbd::filesystem
per discussion in Kona.N3335=12-0025, Filesystem Library for C++11/TR2 (Revision 1). Changes include:
files
as an experiment. Made this
issue number 1 so the LWG can pass judgment.N3239 = 11-0009, Filesystem Library Update for TR2 (Preliminary), reflected changes made to the Boost library version 3 since the previously accepted committee paper:
path
handles all aspects of
internationalization, replacing the previous template and its path
and wpath
instantiations. Character types char
,
wchar_t
, char16_t
, and char32_t
are
supported. This is a major simplification of the path abstraction,
particularly for functions that take path arguments. This change was based
on a suggestion by Peter Dimov.error_code
is now uniform
throughout the operations functions.N1975 = 06-0045, Filesystem Library Proposal for TR2 (Revision 3), was adopted by the committee in April, 2006, at the Berlin meeting. Shortly afterward the Library Working Group set aside work on TR2 to concentrate on C++0x.
1 Filesystem Library
1.1 Definitions
1.1.1 absolute path
1.1.2 canonical path
1.1.3 directory
1.1.4 file
1.1.5 file system
1.1.6 file system race
1.1.7 filename
1.1.8 hard link
1.1.9 link
1.1.10 native pathname format
1.1.11 NTCTS
1.1.12 operating system dependent
behavior
1.1.13 parent directory
1.1.14 path
1.1.15 pathname
1.1.16 pathname resolution
1.1.17 relative path
1.1.18 symbolic link
1.2 Conformance
1.2.1 ISO/IEC 9945 conformance
1.2.2 Operating system dependent behavior
conformance
1.3 Requirements
1.4 Header <filesystem>
synopsis
1.5 Error reporting
1.6 Class path
1.6.1 Generic pathname format grammar
1.6.2 path
conversions
<IP_ADDRESS> path
argument format conversions
<IP_ADDRESS> path
type and encoding
conversions
1.6.3 path
Requirements
1.6.4 path
constructors
1.6.5 path
assignments
1.6.6 path
appends
1.6.7 path
concatenation
1.6.8 path
modifiers
1.6.9 path
native format
observers
1.6.10 path
generic
format observers
1.6.11 path
compare
1.6.12 path
decomposition
1.6.13 path
query
1.6.14 path
iterators
1.6.15 path
non-member
functions
1.6.16 path
inserter and
extractor
1.7 Class filesystem_error
1.7.1 filesystem_error
members
1.8 Enum class file_type
1.9 Enum class copy_options
1.10 Enum perms
1.11 Class file_status
1.11.1 file_status
constructors
1.11.2 file_status
observers
1.11.3 file_status
modifiers
1.12 Class directory_entry
1.12.1 directory_entry
constructors
1.12.2 directory_entry
modifiers
1.12.3 directory_entry
observers
1.13 Class directory_iterator
1.13.1 directory_iterator
members
1.13.2
directory_iterator
non-member functions
1.14 Class
recursive_directory_iterator
1.14.1
recursive_directory_iterator
members
1.14.2 recursive_directory_iterator
non-member functions
1.15 Operational functions
Gray-shaded italic text is commentary on the proposal. It is not to be added to the working paper.
Green shaded text in rectangular boxes calls attention to examples and notes intended to illuminate differences in behavior between operating systems. Trademarked names are used, as permitted by ISO/IEC Directives, Part2, section 6.6.3 Use of trade names and trademarks. It is the belief of the proposal author that these examples and notes add considerable clarity, and should be retained.
Start of proposed wording:
This clause describes components that perform operations on file systems and their components, such as paths, regular files, and directories.
ISO/IEC 9945 contains provisions which, through referenced in this text, constitute provisions of this clause. At the time of publication, the editions indicated were valid. All standards are subject to revision, and parties to agreements based on this clause are encouraged to investigate the possibility of applying the most recent editions of the standard indicated below. Members of IEC and ISO maintain registers of currently valid International Standards.
This clause mentions commercially available operating systems for purposes of exposition. [footnote]
This footnote is required by ISO/IEC Directives, Part2, section 6.6.3 Use of trade names and trademarks:
[footnote] POSIX® is a registered trademark of The IEEE. MAC OS® is a registered trademark of Apple Inc. Windows® is a registered trademark of Microsoft Corporation. This information is given for the convenience of users of this document and does not constitute an endorsement by ISO or IEC of these products.
End of footnote.
$endid $id wording_suffix=
End of Proposed wording.
$endid $id backmatter= $endid


--- layout: post status: publish published: true title: '"It''s Worth Noting I''ve Been Playing With a Go-Bot" - Podcast Episode 6.46' author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 10484 wordpress_url: http://ivyenvy.com/?p=10484 date: '2014-11-23 22:12:15 +0000' date_gmt: '2014-11-24 04:12:15 +0000' categories: - Podcast tags: - Henry Blanco comments: - id: 15450 author: Ivy Envy author_email: '' author_url: '' date: '2014-11-24 10:09:11 +0000' date_gmt: '2014-11-24 16:09:11 +0000' content: Having an issue with the website, FYI. The media player is not showing up. - id: 15451 author: Ivy Envy author_email: '' author_url: '' date: '2014-11-24 10:44:22 +0000' date_gmt: '2014-11-24 16:44:22 +0000' content: Ok...almost everything is fixed. You can play the podcast on our site now. ---
On this, the 283rd episode of The Ivy Envy Podcast, we answer listener questions. Other than bringing Henry Blanco back to the organization, the Cubs didn't give us much to discuss this week.
There are still lots of "big picture" discussions to have though. Is this team a contender in 2015 like the front office says it can be? Would we rather see the Cubs trade Castro or prospects? How important is it for the Cubs to get a top-of-the-rotation starter this offseason? How great is Rizzo's contract for the Cubs? Would the Cubs re-consider a bad-deal swap with the Braves - Edwin Jackson for BJ Upton? Is posting photos of mice carcasses on Instagram in bad taste? Why would someone ask 21 questions on a message board?
Are you unsure of what Christmas gifts to get for the females in your life? We've got the answer for you...it's reasonably priced, the ladies will love them and by ordering them, you'll buy us Ivy Envy guys a beer at Spring Training. Check out the Jamberry Ivy Envy Beer Money Flash Sale.


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I Usually Play Games While Bored, But Now I Code Websites In My Free Time And When I'm Bored. Everybody Has Their Own Hobby When They're Bored.


| 1137 | (A) | Fułł the guttis of golde Iche a gome hade |
| 1141 | (C) | For fułł þe guttes of golde . eche a manne hadde |
| 1123 | (D) | For ful þe guttis of gold eche a gome had |
| 1104 | (E) | & her guttes yschronke . & her stomak boþe |
| (Ex) | ---- no text ---- | |
| 1161 | (L) | Ful þe gottes of gold eche gome hadde |
| (P) | ---- no text ---- | |
| 1112 | (U) | For ful the guttes of gold / ilk a gome hadde |
| 202 | (V) | Fułł þe guttes of golde þe gomes echon hadde |


This (primarily hermeneutical) conflict is plausibly one of the major reasons for limited engagement with geology in Christian communities (although some recent polls suggest that geoscientists believe in God at similar numbers as biologists and physicists; and in Christian higher education. For example, a quick survey of CCCU (Council for Christian Colleges and Universities) indicates that out of 120 member schools, just 3 offer degrees in geology.
in-context


how easy is it to know that you can place your pizza order from PIZZA PARADISE right on your smart phone and have it delivered on your door step? Try it now.
Marinara Pizza
pugliese Pizza
chicago Pizza
sicilian Pizza
Detroit Pizza
Your order has been received and delivery is in process.


FAAB Reimagines Warsaw's Piłsudski Square in Poland
- by Eric Baldwin
- about 10 hours
FAAB Architektura has unveiled their design that reimagines Warsaw's Piłsudski Square in Poland. Made to bring together the humanities, arts and sciences with nature, the proposal aims to inspire interactions between disciplines. As the team state, the proposal was formed as an intermingling of history and art, literature and music, film and design, science and innovation. The project is made to promote the creation of urban ecosystems.
The intended plan is a proposal for the permanent commemoration of Poland regaining its independence in 1918. It is made so that buildings are integrated with their surroundings in an effort to help raise the living standards of inhabitants and actively address issues from climate change. "Openness, manifested through a multiplicity of routes at ground level will facilitate the flexible use of many functions located within the complex and of surrounding green areas, both those which already existing, such as the Saxon Garden [Ogród Saski] and being created, such as Piłsudski Park [Park Piłsudskiego]."
The project respects the history of this place by recalling the former building alignments and scale of sites destroyed during World War II. It stresses the exceptionalism of the Tomb of the Unknown Soldier, supplementing this narrative by creating a museum which recounts the idea behind this memorial. It makes use of existing, historical cellars in order to build identity of place. The plan was envisioned as Europe’s largest cycle park, reducing the urban heat island effect while harvesting rainwater, with no need to connect the development to the municipal storm water drainage system. Buildings would feature photo-voltaic coatings integrated with glazing and elevation panels, together with pavements that transform the steps of passers-by into energy to reduce requirements of the complex.
The plan also includes an urban spa where "everyone will be able to breathe air free from high concentrations of particulate matter and nitrogen oxides, and also to take advantage of aroma therapies and helio-therapies, interacting with outdoor exhibitions organised at the Capital Terrace of Art and Recreation [Stołeczny Taras Sztuki i Rekreacji]." Narrow roadways with a reduced radius hope to bring a reduction in vehicle speeds to 30 km/h to reduce transport noise. Together, these developments are made to significantly improve the acoustic “climate” of place.
News via FAAB Architektura


The concept is fairly simple. It takes in a word and fetches synonyms for that word. Then, it makes domain names out of the synonyms and checks to see if they are registered.
The domains are assembled like this:
prefix + synonym + suffix + tld
So, as an example:
If you were to enter guard as your word,
with a prefix of smart,
and a tld of .com,
one of the domains to be checked would be smartprotect.com


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<EMAIL_ADDRESS>Resume
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public class State
extends java.lang.Object
| Constructor and Description |
|---|
State(int currentPlayerId)
Used to start a fresh new game of Rummy.
|
State(Player currentPlayer,
Player waitingPlayer)
Used to start a new round in the game.
|
State(Player currentPlayer,
Player waitingPlayer,
Card[] deck,
java.util.Stack<Card> discardPile,
java.util.List<Meld> melds,
java.lang.String phase,
Card[][] knownHandCards,
Meld currentMeld,
Card discardDraw)
Constructor used to clone a state.
|
| Modifier and Type | Method and Description |
|---|---|
int |
calculateRoundPoints()
Calculates the points for the winner of this round.
|
State |
cloneAndRandomizeState()
Clones the current state, then randomizes all hidden information of the state from the AI's perspective.
|
State |
cloneState()
Creates a "deep" clone of this state (deep enough for the AI to consider them the same).
|
Card[] |
createDeck()
Creates a fresh 52-card deck (not shuffled)
|
void |
discard(Card card)
Discards a hand card and starts the end phase.
|
Card |
discardCardNumber(int number)
Discards hand card by index.
|
void |
doMove(Move move,
boolean aiSelection)
Does a move and changes this state directly.
|
Card |
drawFromDeck()
Returns a card drawn from the deck and removes that card from the deck.
|
Card |
drawFromDiscardPile()
Draws a card from the discard pile and adds it to the current player's hand.
|
void |
endTurn()
Swaps the current and the waiting player, sets the game phase to draw.
|
java.util.List<Layoff> |
findPossibleLayoffs()
Finds all possible layoffs for the current player.
|
java.util.List<Meld> |
findPossibleMelds()
Finds all possible melds the current player can do from their hand.
|
boolean |
gameOver() |
AIArrayList<Move> |
getAvailableMoves()
Returns all possible moves from this game phase.
|
Player |
getCurrentPlayer() |
Card[] |
getDeck() |
int |
getDeckSize() |
java.util.Stack<Card> |
getDiscardPile() |
Card |
getDiscardPileTop()
Gets the top card of the discard pile without removing it from the pile.
|
Card[][] |
getKnownHandCards() |
java.util.List<Meld> |
getMelds() |
int |
getOpponentHandSize() |
java.lang.String |
getPhase() |
Player |
getWaitingPlayer() |
double |
getWinResult()
Gets the round result from the winner's perspective.
|
void |
initialDraw()
Done during every deal, a card from the deck is added to the empty discard pile.
|
void |
layoff(Layoff layoff,
boolean aiSelection)
Creates a layoff and removes the laid-off card from hand.
|
void |
layoffDone()
Starts the discard phase.
|
Meld |
meld(Meld meld)
Creates a meld, removes the melded cards from the hand and starts the layoff phase.
|
void |
organizeCurrentHand()
Sorts the current hand.
|
boolean |
roundOver() |
void |
setCurrentPlayer(Player player) |
void |
setDeck(Card[] deck) |
void |
setDiscardPile(java.util.Stack<Card> discardPile) |
void |
setMelds(java.util.List<Meld> melds) |
void |
setPhase(java.lang.String phase) |
void |
setWaitingPlayer(Player player) |
State |
startNewRound()
Starts a new round.
|
java.lang.String |
toString() |
boolean |
turnOver() |
void |
updateWinnerPoints()
Updates the points of the winner of this round automatically.
|
public State(int currentPlayerId)
currentPlayerId
- the id of the player who will start the game.public State(Player currentPlayer, Player waitingPlayer)
currentPlayer
- the id of the player who will start the new round.waitingPlayer
- the id of the other player.public State(Player currentPlayer, Player waitingPlayer, Card[] deck, java.util.Stack<Card> discardPile, java.util.List<Meld> melds, java.lang.String phase, Card[][] knownHandCards, Meld currentMeld, Card discardDraw)
currentPlayer
- waitingPlayer
- deck
- discardPile
- melds
- phase
- knownHandCards
- currentMeld
- discardDraw
- public Player getCurrentPlayer()
public void setCurrentPlayer(Player player)
public Player getWaitingPlayer()
public void setWaitingPlayer(Player player)
public Card[] getDeck()
public void setDeck(Card[] deck)
public java.util.Stack<Card> getDiscardPile()
public void setDiscardPile(java.util.Stack<Card> discardPile)
public java.util.List<Meld> getMelds()
public void setMelds(java.util.List<Meld> melds)
public java.lang.String getPhase()
public void setPhase(java.lang.String phase)
public Card getDiscardPileTop()
public int getDeckSize()
public int getOpponentHandSize()
public Card[][] getKnownHandCards()
public final Card[] createDeck()
public void initialDraw()
public Card drawFromDeck()
public void organizeCurrentHand()
public Card drawFromDiscardPile()
public java.util.List<Meld> findPossibleMelds()
public Meld meld(Meld meld)
meld
- the meld to be added to the game meldspublic java.util.List<Layoff> findPossibleLayoffs()
public void layoff(Layoff layoff, boolean aiSelection)
layoff
- the layoff to be doneaiSelection
- true if this method is being used by the AI's selection phase, otherwise falsepublic void layoffDone()
public Card discardCardNumber(int number)
number
- the index of the card in handpublic void discard(Card card)
card
- the card to be discardedpublic void endTurn()
public int calculateRoundPoints()
public void updateWinnerPoints()
public State startNewRound()
public boolean turnOver()
public boolean roundOver()
public boolean gameOver()
public java.lang.String toString()
toString
in class java.lang.Object
public AIArrayList<Move> getAvailableMoves()
public void doMove(Move move, boolean aiSelection)
move
- the move to be doneaiSelection
- true if this method is being used by the AI's selection phase, otherwise falsepublic State cloneState()
public State cloneAndRandomizeState()
public double getWinResult()


Kunal Mahajan: Dev BootCamp
"The tale of my journey on becoming a Junior Web Developer..."
DBC-Technical Blog:
Date: 08.01.15
Entry #: 4
Commentary:
So today...I wanted to discuss an important Enumerable method called 'map'. The Enumerable, (a module that includes the ability to search/sort) includes a method called "map" that allows us to iterate over every element in an array and whatever gets returned in that block of code, gets added to a new array.
For example:
arr = [12,23,45,56,67,78,89,90,100]
/defines an array with numerical digits.
p arr
/prints results of the array to user.
p arr.map(&:odd?).select { | e | e == true}
/takes the array, applies the map method and iterates over every element running a block of code that checks every element; if any elements are found to be odd, places them into another array and prints it out in an array format.
p arr.map(&:odd?).select { | e | e == true}.count
/counts the amount of true values that have been found from the array and prints it to user in a numerical value.
I wanted to give credit, where credit is due as this gentleman did a fine job explaining visually what is actually going on: MattStopaDev


Rage 2 lands on the Microsoft Store for PC
Get ready to die, now through the Microsoft Store.
by Samuel TolbertSource: Bethesda
What you need to know
- At X019, several games were announced as joining Game Pass, some for Xbox One, some for PC and many for both platforms.
- Rage 2 is now available on the Microsoft Store, so if you have Game Pass for PC, you can download it.
- Game Pass for PC is included in Xbox Game Pass Ultimate.
During X019, one of the many, many, many games announced as coming to Xbox Game Pass was Rage 2, a first-person shooter developed by Avalanche and id Software. If you have Xbox Game Pass for PC, you can download the game through the Microsoft Store. You can also buy it outright.
Here's the minimum specs you'll need to play it:
- OS: Windows 10 version 18362.0 or higher
- Memory: 8 GB
- Video Memory: 4 GB
- Processor: Intel Core i5-3570 or AMD Ryzen 3 1300X
- Graphics: Nvidia GTX 780 3GB or AMD R9 280 3GB
Here's the recommended specs for enjoying it:
- OS: Windows 10 version 18362.0 or higher
- Memory: 8 GB
- Video Memory: Not specified
- Processor: Intel Core i7-4770 or AMD Ryzen 5 1600X
- Graphics: Nvidia GTX 1070 8GB or AMD Vega 56 8GB
Bethesda has been a big supporter of Xbox Game Pass for PC, adding games such as Dishonored 2, Prey (2017) and Wolfenstein II: The New Colossus. With the addition of Rage 2, Bethesda's strong support for the renewed Xbox on PC initiative continues.
Best of the best
Xbox Game Pass Ultimate
Xbox Game Pass and Xbox Live Gold in one
Xbox Game Pass gives you access to over a hundred games for one monthly fee. Xbox Game Pass Ultimate also adds Xbox Live Gold to the package so you can play online with your friends. Right now, you can purchase a three-month subscription for $45 through Amazon.
Get more Xbox
Xbox
- Xbox One S vs. Xbox One X: Which should you buy?
- Best Xbox One X and Xbox One S Accessories
- Best Xbox One Headsets 2019
- Best Xbox One Wireless Headsets 2019
- Best Xbox Controller Charging Stations in 2019
We may earn a commission for purchases using our links. Learn more.


Today's Task
>Description
Strengthning of the thigh muscles by straightening the knee with in lying with an ankle weight
Teaching points
The movement should be slow and controlled.
Keep the body rigid suring the movements.
Exercise Details
Times per day: 50


1 write to _previousScope
System.Management.Automation (1)
engine\CommandProcessorBase.cs (1)
354
_previousScope
= CommandSessionState.CurrentScope;
4 references to _previousScope
System.Management.Automation (4)
engine\CommandProcessorBase.cs (4)
374
if (
_previousScope
!= null)
379
CommandSessionState.CurrentScope =
_previousScope
;
658
if (
_previousScope
!= null)
663
CommandSessionState.CurrentScope =
_previousScope
;


W3C stands for World Wide Web Consortium. It is the main international standards organization for the World Wide Web. Founded in 1994, and lead by Tim Berners Lee, the organization develops protocols and guidelines that ensure long term web growth.
W3C Logo
W3C sets standards to define key parts of what makes the World Wide Web work. The World Wide Web(W3) was created in 1989 by Tim Berners Lee. He wrote the first Web Browser, server, and home page and wrote the first specifications for URLs, HTTP, and HTML. W3C defines the World Wide Web as an information space in which the items of interest, referred to as resources, are identified by global identifiers called Uniform Resource Identifiers (URI)." W3C publishes documents that define Web technologies. These documents follow a process designed by W3C to promote consensus, fairness, public accountability, and quality. At the end of this process, W3C publishes recommendations, which are considered web standards. Member organizations, a full time staff, and the public work to develop these web standards. This is done to ensure that the positive benefits of the web are available to all people, like communication and commerce.
HTML stands for Hypertext Markup Language. It is the standard markup language that defines the structure of a web page. HTML consists of a series of elements that tell the browser how to display the content. It can be thought of as a really big simple document that formats the page. So, HTML is used to describe and determine the content of a web page (which lines are headers vs paragraphs) and also includes the web page's text. It does not contain images and videos, though, as they are included in separate files.
HTML code vs page
CSS stands for Cascading Style Sheets. CSS describes how HTML elements are to be displayed on the screen. It is used define styles for your web pages, including the design, layout and variations in display for different devices and screen sizes. CSS saves a lot of time and work, you can change the look of an entire website with just one file, whereas if you were using HTML, you would have to define the fonts and colors on every page.
Example of CSS vs HTML
HTML CSS Logo


 Then, follow the customized commands to install MXNet.
Run the following command:
MXNet offers MKL pip packages that will be much faster when running on Intel hardware. Check the chart below for other options, refer to PyPI for other MXNet pip packages, or validate your MXNet installation.
NOTES:
mxnet-cu101mkl means the package is built with CUDA/cuDNN and MKL-DNN enabled and the CUDA version is 10.1.
All MKL pip packages are experimental prior to version 1.3.0.
Docker images with MXNet are available at DockerHub.
Step 1 Install Docker on your machine by following the docker installation instructions.
Note - You can install Community Edition (CE) to get started with MXNet.
Step 2 [Optional] Post installation steps to manage Docker as a non-root user.
Follow the four steps in this docker documentation to allow managing docker containers without sudo.
If you skip this step, you need to use sudo each time you invoke Docker.
Step 3 Pull the MXNet docker image.
You can list docker images to see if mxnet/python docker image pull was successful.
Using the latest MXNet with Intel MKL-DNN is recommended for the fastest inference speeds with MXNet.
Step 4 Validate the installation.
To build from source, refer to the MXNet Ubuntu installation guide.
Run the following command:
MXNet offers MKL pip packages that will be much faster when running on Intel hardware. Check the chart below for other options, refer to PyPI for other MXNet pip packages, or validate your MXNet installation.
NOTES:
mxnet-cu101mkl means the package is built with CUDA/cuDNN and MKL-DNN enabled and the CUDA version is 10.1.
All MKL pip packages are experimental prior to version 1.3.0.
CUDA should be installed first.
Important: Make sure your installed CUDA version matches the CUDA version in the pip package.
Check your CUDA version with the following command:
You can either upgrade your CUDA install or install the MXNet package that supports your CUDA version.
Docker images with MXNet are available at DockerHub.
Step 1 Install Docker on your machine by following the docker installation instructions.
Note - You can install Community Edition (CE) to get started with MXNet.
Step 2 [Optional] Post installation steps to manage Docker as a non-root user.
Follow the four steps in this docker documentation to allow managing docker containers without sudo.
If you skip this step, you need to use sudo each time you invoke Docker.
Step 3 Install nvidia-docker-plugin following the installation instructions. nvidia-docker-plugin is required to enable the usage of GPUs from the docker containers.
Step 4 Pull the MXNet docker image.
You can list docker images to see if mxnet/python docker image pull was successful.
Using the latest MXNet with Intel MKL-DNN is recommended for the fastest inference speeds with MXNet.
Step 5 Validate the installation.
To build from source, refer to the MXNet Ubuntu installation guide.
The default version of R that is installed with apt-get
is insufficient. You will need
to first install R v3.4.4+ and build MXNet from source.
After you have setup R v3.4.4+ and MXNet, you can build and install the MXNet R bindings with the following, assuming that incubator-mxnet
is the source directory you used to build MXNet as follows:
The default version of R that is installed with apt-get
is insufficient. You will need
to first
install R v3.4.4+ and build MXNet from
source.
After you have setup R v3.4.4+ and MXNet, you can build and install the MXNet R bindings
with the
following, assuming that incubator-mxnet
is the source directory you used to build
MXNet as follows:
CUDA should be installed first.
Important: Make sure your installed CUDA version matches the CUDA version in the pip package.
Check your CUDA version with the following command:
You can either upgrade your CUDA install or install the MXNet package that supports your CUDA version.
You can use the Maven packages defined in the following dependency to include MXNet in your Scala project. Please refer to the MXNet-Scala setup guide for a detailed set of instructions to help you with the setup process.
You can use the Maven packages defined in the following dependency to include MXNet in your Scala project. Please refer to the MXNet-Scala setup guide for a detailed set of instructions to help you with the setup process.
You can use the Maven packages defined in the following dependency to include MXNet in your Clojure project. To maximize leverage, the Clojure package has been built on the existing Scala package. Please refer to the MXNet-Scala setup guide for a detailed set of instructions to help you with the setup process that is required to use the Clojure dependency.
You can use the Maven packages defined in the following dependency to include MXNet in your Clojure project. To maximize leverage, the Clojure package has been built on the existing Scala package. Please refer to the MXNet-Scala setup guide for a detailed set of instructions to help you with the setup process that is required to use the Clojure dependency.
You can use the Maven packages defined in the following dependency to include MXNet in your Java project. The Java API is provided as a subset of the Scala API and is intended for inference only. Please refer to the MXNet-Java setup guide for a detailed set of instructions to help you with the setup process.
You can use the Maven packages defined in the following dependency to include MXNet in your Java project. The Java API is provided as a subset of the Scala API and is intended for inference only. Please refer to the MXNet-Java setup guide for a detailed set of instructions to help you with the setup process.
Install a pinned version of MXNet like this:
Or directly install the latest release:
Refer to the Julia section of the MXNet Ubuntu installation guide.
Refer to the Perl section of the MXNet Ubuntu installation guide.
To enable the C++ package, build from source using make USE_CPP_PACKAGE=1
.
Refer to the MXNet C++ setup guide
for full instructions.
For more installation options, refer to the Ubuntu installation guide and CentOS installation guide.
Run the following command:
MXNet offers MKL pip packages that will be much faster when running on Intel hardware. Check the chart below for other options, refer to PyPI for other MXNet pip packages, or validate your MXNet installation.
NOTES:
mxnet-cu101mkl means the package is built with CUDA/cuDNN and MKL-DNN enabled and the CUDA version is 10.1.
All MKL pip packages are experimental prior to version 1.3.0.
Docker images with MXNet are available at DockerHub.
Step 1 Install Docker on your machine by following the docker installation instructions.
Note - You can install Community Edition (CE) to get started with MXNet.
Step 2 Pull the MXNet docker image.
You can list docker images to see if mxnet/python docker image pull was successful.
Using the latest MXNet with Intel MKL-DNN is recommended for the fastest inference speeds with MXNet.
Step 4 Validate the installation.
To build from source, refer to the MXNet macOS installation guide. MXNet developers should refer to the MXNet wiki’s Developer Setup on Mac.
This option is only available by building from source. Refer to the MXNet macOS installation guide.
Refer to the MXNet macOS installation guide. MXNet developers should refer to the MXNet wiki’s Developer Setup on Mac.
To run MXNet you also should have OpenCV and OpenBLAS installed. You may install them with brew
as follows:
To ensure MXNet R package runs with the version of OpenBLAS installed, create a symbolic link as follows:
Note: packages for 3.6.x are not yet available.
Install 3.5.x of R from CRAN. The latest is v3.5.3.
You can build MXNet-R from source, or you can use a pre-built binary:
Be the first one to contribute this guide!
You can use the Maven packages defined in the following dependency to include MXNet in your Scala project. Please refer to the MXNet-Scala setup guide for a detailed set of instructions to help you with the setup process.
Not available at this time.
You can use the Maven packages defined in the following dependency to include MXNet in your Clojure project. To maximize leverage, the Clojure package has been built on the existing Scala package. Please refer to the MXNet-Scala setup guide for a detailed set of instructions to help you with the setup process that is required to use the Clojure dependency.
Not available at this time.
You can use the Maven packages defined in the following dependency to include MXNet in your Java project. The Java API is provided as a subset of the Scala API and is intended for inference only. Please refer to the MXNet-Java setup guide for a detailed set of instructions to help you with the setup process.
Not available at this time.
Install a pinned version of MXNet like this:
Or directly install the latest release:
Refer to the Julia section of the MXNet macOS installation guide.
Refer to the Perl section of installation guide.
To enable the C++ package, build from source using make USE_CPP_PACKAGE=1
.
Refer to the MXNet C++ setup guide for full instructions.
For more installation options, refer to the MXNet macOS installation guide.
Run the following command:
MXNet offers MKL pip packages that will be much faster when running on Intel hardware. Check the chart below for other options, refer to PyPI for other MXNet pip packages, or validate your MXNet installation.
NOTES:
mxnet-cu101mkl means the package is built with CUDA/cuDNN and MKL-DNN enabled and the CUDA version is 10.1.
All MKL pip packages are experimental prior to version 1.3.0.
CUDA should be installed first.
Important: Make sure your installed CUDA version matches the CUDA version in the pip package.
Check your CUDA version with the following command:
You can either upgrade your CUDA install or install the MXNet package that supports your CUDA version.
Docker images with MXNet are available at Docker Hub.
Step 1 Install Docker on your machine by following the docker installation instructions
Note - You can install Community Edition (CE) to get started with MXNet.
Step 2 Pull the MXNet docker image.
You can list docker images to see if mxnet/python docker image pull was successful.
Using the latest MXNet with Intel MKL-DNN is recommended for the fastest inference speeds with MXNet.
Step 4 Validate the installation.
Refer to the MXNet Windows installation guide
Run the following command:
MXNet offers MKL pip packages that will be much faster when running on Intel hardware. Check the chart below for other options, refer to PyPI for other MXNet pip packages, or validate your MXNet installation.
NOTES:
mxnet-cu101mkl means the package is built with CUDA/cuDNN and MKL-DNN enabled and the CUDA version is 10.1.
All MKL pip packages are experimental prior to version 1.3.0.
CUDA should be installed first.
Important: Make sure your installed CUDA version matches the CUDA version in the pip package.
Check your CUDA version with the following command:
You can either upgrade your CUDA install or install the MXNet package that supports your CUDA version.
To build from source, refer to the MXNet Windows installation guide.
Note: packages for 3.6.x are not yet available. Install 3.5.x of R from CRAN.
You can build MXNet-R from source, or you can use a pre-built binary:
To run MXNet you also should have OpenCV and OpenBLAS installed.
You can build MXNet-R from source, or you can use a pre-built binary:
Change cu92 to cu90, cu91 or cuda100 based on your CUDA toolkit version. Currently, MXNet supports these versions of CUDA. Note : You also need to have cuDNN installed on Windows. Check out this guide on the steps for installation.
MXNet-Scala for Windows is not yet available.
MXNet-Clojure for Windows is not yet available.
MXNet-Java for Windows is not yet available.
Install a pinned version of MXNet like this:
Or directly install the latest release:
Refer to the Julia section of the MXNet Windows installation guide.
Refer to the Perl section of the MXNet Windows installation guide.
To enable the C++ package, build from source using make USE_CPP_PACKAGE=1
.
Refer to the MXNet C++ setup guide for full instructions.
MXNet is available on several cloud providers with GPU support. You can also find GPU/CPU-hybrid support for use cases like scalable inference, or even fractional GPU support with AWS Elastic Inference.
- Alibaba
- NVIDIA VM
- Amazon Web Services
- Amazon SageMaker - Managed training and deployment of MXNet models
- AWS Deep Learning AMI - Preinstalled Conda environments for Python 2 or 3 with MXNet, CUDA, cuDNN, MKL-DNN, and AWS Elastic Inference
- Dynamic Training on AWS - experimental manual EC2 setup or semi-automated CloudFormation setup
- NVIDIA VM
- Google Cloud Platform
- NVIDIA VM
- Microsoft Azure
- NVIDIA VM
- Oracle Cloud
- NVIDIA VM
All NVIDIA VMs use the NVIDIA MXNet Docker container. Follow the container usage instructions found in NVIDIA’s container repository.
MXNet should work on any cloud provider’s CPU-only instances. Follow the Python pip install instructions, Docker instructions, or try the following preinstalled option.
- Amazon Web Services
- AWS Deep Learning AMI - Preinstalled Conda environments for Python 2 or 3 with MXNet and MKL-DNN.
MXNet supports the Debian based Raspbian ARM based operating system so you can run MXNet on Raspberry Pi 3B devices.
These instructions will walk through how to build MXNet for the Raspberry Pi and install the Python bindings for the library.
You can do a dockerized cross compilation build on your local machine or a native build on-device.
The complete MXNet library and its requirements can take almost 200MB of RAM, and loading large models with the library can take over 1GB of RAM. Because of this, we recommend running MXNet on the Raspberry Pi 3 or an equivalent device that has more than 1 GB of RAM and a Secure Digital (SD) card that has at least 4 GB of free memory.
Quick installation
You can use this pre-built Python wheel on a Raspberry Pi 3B with Stretch. You will likely need to install several dependencies to get MXNet to work. Refer to the following Build section for details.
Docker installation
Step 1 Install Docker on your machine by following the docker installation instructions.
Note - You can install Community Edition (CE)
Step 2 [Optional] Post installation steps to manage Docker as a non-root user.
Follow the four steps in this docker documentation to allow managing docker containers without sudo.
Build
This cross compilation build is experimental.
Please use a Native build with gcc 4 as explained below, higher compiler versions currently cause test failures on ARM.
The following command will build a container with dependencies and tools,
and then compile MXNet for ARMv7.
You will want to run this on a fast cloud instance or locally on a fast PC to save time.
The resulting artifact will be located in build/mxnet-x.x.x-py2.py3-none-any.whl
.
Copy this file to your Raspberry Pi.
The previously mentioned pre-built wheel was created using this method.
Install using a pip wheel
Your Pi will need several dependencies.
Install MXNet dependencies with the following:
Install virtualenv with:
Create a Python 2.7 environment for MXNet with:
You may use Python 3, however the wine bottle detection example for the Pi with camera requires Python 2.7.
Activate the environment, then install the wheel we created previously, or install this prebuilt wheel.
Test MXNet with the Python interpreter:
If there are no errors then you’re ready to start using MXNet on your Pi!
Native Build
Installing MXNet from source is a two-step process:
- Build the shared library from the MXNet C++ source code.
- Install the supported language-specific packages for MXNet.
Step 1 Build the Shared Library
On Raspbian versions Wheezy and later, you need the following dependencies:
-
Git (to pull code from GitHub)
-
libblas (for linear algebraic operations)
-
libopencv (for computer vision operations. This is optional if you want to save RAM and Disk Space)
-
A C++ compiler that supports C++ 11. The C++ compiler compiles and builds MXNet source code. Supported compilers include the following:
- G++ (4.8 or later). Make sure to use gcc 4 and not 5 or 6 as there are known bugs with these compilers.
- Clang (3.9 - 6)
Install these dependencies using the following commands in any directory:
Clone the MXNet source code repository using the following git
command in your home
directory:
Build:
Some compilation units require memory close to 1GB, so it’s recommended that you enable swap as explained below and be cautious about increasing the number of jobs when building (-j)
Executing these commands start the build process, which can take up to a couple hours, and
creates a file
called libmxnet.so
in the build directory.
If you are getting build errors in which the compiler is being killed, it is likely that the compiler is running out of memory (especially if you are on Raspberry Pi 1, 2 or Zero, which have less than 1GB of RAM), this can often be rectified by increasing the swapfile size on the Pi by editing the file /etc/dphys-swapfile and changing the line CONF_SWAPSIZE=100 to CONF_SWAPSIZE=1024, then running:
Step 2 Build cython modules (optional)
MXNet tries to use the cython modules unless the environment variable
MXNET_ENABLE_CYTHON
is set to 0
.
If loading the cython modules fails, the default behavior is falling back to ctypes without
any warning. To
raise an exception at the failure, set the environment variable MXNET_ENFORCE_CYTHON
to
1
. See
here for more details.
Step 3 Install MXNet Python Bindings
To install Python bindings run the following commands in the MXNet directory:
Note that the -e
flag is optional. It is equivalent to --editable
and means that if you
edit the source
files, these changes will be reflected in the package installed.
 You can get started by following the tutorial on Real-time Object Detection with MXNet On The Raspberry Pi.
Note - Because the complete MXNet library takes up a significant amount of the Raspberry Pi’s limited RAM, when loading training data or large models into memory, you might have to turn off the GUI and terminate running processes to free RAM.
NVIDIA Jetson Devices
To install MXNet on a Jetson TX or Nano, please refer to the Jetson installation guide.
Download from source
The signed source code for Apache MXNet (incubating) is available for download here


Module: DbSerializer
- Extended by:
- ActiveSupport::Autoload
- Defined in:
- lib/db_serializer.rb,
lib/db_serializer/version.rb,
lib/db_serializer/geo_json.rb,
lib/db_serializer/utilities.rb
Overview
Module that contains spatial serializers for ActiveRecord models. The extended class must be an ActiveRecord::Base. It must also have a geometry column (the name of this column can be customized).
Defined Under Namespace
Constant Summary collapse
- VERSION =
'0.1.0'


goog.ui.OfflineInstallDialog
These dialogs show the install flow for the user:
Click for install flow
Click for upgrade flow
Click for enable flow
Click for custom screen
goog.ui.OfflineStatusCard
These cards show the various configurations:
goog.ui.OfflineStatusComponent
These components show the various configurations (hover for tooltip, click for details):
Offline:
Online:
Syncing:
Paused:
Error:
Not Installed:
Installed:


--- layout: pattern category: code name: var usage: Represents a variable. This could be an actual variable in a mathematical expression or programming context, an identifier representing a constant, a symbol identifying a physical quantity, a function parameter or just be a term used as a placeholder in prose. ---
I'm used to reserve the i variable name to for loops.


Advection¶
The one-dimensional equation describing the advection of field \(f\) is
where \(v_x\) is the velocity. The field \(f\) can be many different things, for example: topography, chemical concentration, temperature, etc. Despite its very simple appearance, its numerical solutions often cause some (or a lot of) trouble.
Exercise
Discretize equation (1) with forward difference in time, and
- forward,
- central,
- backward difference in space.
Terminology
- Upwind advection scheme approximates the change in the function value by using the function gradient windward, on the side of the “incoming” flux.
- Downwind advection scheme does the exact opposite and uses the gradient leeward, on the opposite side from the incoming flux.
The amount of diffusion is proportional to the amount of time steps taken.
Black line: Original field; dashed black line: advected field at next time step (exact solution); dashed red line: advected field at next time step (numerical solution).
Exercise
- What will happen if \(\frac{v_x\Delta t}{\Delta x} > 1\)?
- Replace the upwind approximation used in Fig Fig. 10 with downwind approximation. How does the simplified expression for \(f_n^{i+1}\) change? How would this change the final advected field?
Exercise
Let’s solve the 1D advection equation with finite differences. For testing purposes we will advect a simple step function \(f\):
The advection velocity \(v_x=1\) will be positive, i.e. in direction of the \(x\) axis. We will run the model for 8 (seconds, in model time).
Use the following upwind discretization of the advection equation:
- Rearrange the discretized equation so that you get an expression for the function value of the next time step
- How many boundary conditions do you need? What are those?
- Create your python script: Either start one from scratch using a provided template (advection_upwind_template.py) or use advection_upwind.py where you need to write the missing line within the for loops.
- Once your code is working, experiment with different combinations of \(\Delta x\), \(\Delta t\) and \(v_x\) to see how they affect the solution.


Glass Styles:
The glass jar and cage guard cannot be purchased separately. This highly thought after upgrade has two purpose: first to protect your bulb from the elements and second to add a design vintage touch to your project. You can mix and match colors of the guard with the fixture itself. One of the in fashion combo is the galvanized fixture with a powder coat rust cage and a frosted glass.


Psalms 32:10
Many sorrows shall be to the wicked: but he that trusteth in the LORD, mercy shall compass him about.


Kano traffic official crushed to death - The Nation Newspaper
by https://www.facebook.com/alao.h.joshuaKolade Adeyemi, Kano
An officer of the Kano State Road and Traffic Agency (KAROTA) was on Saturday crushed to death by a truck driver at Hotoro Mega Filling Station in the metropolis.
The Nation reports that the incident happened a day after police in Kano arrested a driver (Alkasim Usaini) who also ran over another official of the agency (Ahmad Tijjani) on October 29 while on duty.
In a statement signed by the Public Relations Officer of the agency, Nabilisi Abubakar in Kano on Sunday, explained that the deceased identified as Abdulrahaman was killed by the reckless truck driver.
Read Also: Crippled teenage begger crushed to death in Onitsha
He said the body of deceased officer has since been evacuated from the scene and taken to the Murtala Muhammad Specialist Hospital.
He was pronounced dead by the doctors on duty.
Managing Director of the agency, Baffa Dan’agundi, said, “We are bereaved and sad over the unfortunate incident and as well condole with the family members of the late officer.
Dan’agundi warned the general public to desist from such act as the law would catch up with anyone who commits such crime.
Colleagues and other people around the scene of the incident arrested the driver and handed him to police for further investigation.


{% extends 'base.html' %} {% load static %} {% block content %} Happy Birthday Ayomikun! You're all shades of love, loyalty, selflessness and joy. Send a wish Say Happy Birthday to AY on her special day. Give Give to charity on this special occasion of AY's birthday. View View published wishes from other well wishers. Gallery View AY in pictures. {% endblock %}
Say Happy Birthday to AY on her special day.
Give to charity on this special occasion of AY's birthday.
View published wishes from other well wishers.
View AY in pictures.


If script raises an error, catch will return a non-zero integer value corresponding to the exceptional return code returned by evaluation of script. Tcl defines the normal return code from script evaluation to be zero (0), or TCL_OK. Tcl also defines four exceptional return codes: 1 (TCL_ERROR), 2 (TCL_RETURN), 3 (TCL_BREAK), and 4 (TCL_CONTINUE). Errors during evaluation of a script are indicated by a return code of TCL_ERROR. The other exceptional return codes are returned by the return, break, and continue commands and in other special situations as documented. Tcl packages can define new commands that return other integer values as return codes as well, and scripts that make use of the return -code command can also have return codes other than the five defined by Tcl.
If the varName argument is given, then the variable it names is set to the result of the script evaluation. When the return code from the script is 1 (TCL_ERROR), the value stored in varName is an error message. When the return code from the script is 0 (TCL_OK), the value stored in resultVarName is the value returned from script.
If script does not raise an error, catch will return 0 (TCL_OK) and set the variable to the value returned from script.
Note that catch catches all exceptions, including those generated by break and continue as well as errors. The only errors that are not caught are syntax errors found when the script is compiled. This is because the catch command only catches errors during runtime. When the catch statement is compiled, the script is compiled as well and any syntax errors will generate a Tcl error.
if { [catch {open $someFile w} fid] } { puts stderr "Could not open $someFile for writing\n$fid" exit 1 }
The catch command will not catch compiled syntax errors. The first time proc foo is called, the body will be compiled and a Tcl error will be generated.
proc foo {} { catch {expr {1 +- }} }
Copyright © 1993-1994 The Regents of the University of California. Copyright © 1994-1996 Sun Microsystems, Inc. Copyright © 1995-1997 Roger E. Critchlow Jr.


Dear User, You have been invited to join {{ organization }}@Treeckle. You can login with your email ({{ email }}) at {{ host }}. Yours Sincerely, Treeckle Team


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|
SVG plot
|
Humans have a fantastic capacity for visual understanding, and merely looking at data organized in one, two, or three dimensions allows us to see relations not otherwise visible in a list of numbers.
Computers, however, deal with information numerically, and C++ and the Standard Template Library (STL) do not currently offer a way to bridge the gap.
This library helps the user to easily plot data stored in STL containers.
This project is focused on using STL containers in order to graph data on one-dimensional (1D) and two-dimensional (2D) plots.
The plot will currently be written to a Scalable Vector Graphic image Scalable Vector Graphics (SVG) XML specification
and file format for describing two-dimensional vector graphics.
SVG files (.svg) can be viewed with any modern internet browser:
Inkscape , a fine Open Source SVG editor with excellent rendering, full scaling and other editing features, including conversion to wide variety of other graphics formats like Portable Network Graphics .png.
Inkscape is the 'gold standard' for viewing SVG files.
To do this, you will need to download and install the Inkscape package from http://www.inkscape.org. usually to
C:\Program Files\Inkscape\
You will need to use the Explorer, Tools, Folder Options, and add extension .svg if necessary, and then associate svg files with inkscape.exe
.
You may also find it convenient to add
"c:\Program Files\inkscape"
to your Path using Control Panel, System, Advanced system settings, Environment variables, Path, and edit to append the folder (needs restart of comand window). You can then use commands like "inkscape my_picture.svg" from any command window.
Inkscape allows one to open many svg files as a slideshow and move forward and back with the cursor keys.
This works as expected using a command window, for example after changing to the directory containing your SVG files, and running "inkview *.svg" to display all the images in the directory as a slideshow.
Sadly, by default, if you select many files (but not more than 15!) in Windows Explorer, multiple windows (instances of inkview.exe) are opened instead of a slideshow. If you know how to change this 'by design' feature, please tell me.
You may instead find it useful to create a batch file, for example called view_my_plots.bat containing
START "Inkscape" /MIN inkscape.exe C:\Users\Paul\Desktop\My_Plots\*.svg
that will display all the svg images in folder My_Plots in turn as the cursor keys are pressed. Of course, you can also omit the folder specification, and just have *.svg
when the location of the batch file will determine which svg files are being viewed.
The goals of the project are:
svg
class that can be extended to fully support the standard.SVG provides very high quality images that display well on small screens like handheld devices, conventional monitors of all sizes, and on big screens (for example, projected on lecture theatre screens), and especially when printed, but files are tiny (compared to images produced by spreadsheets like Microsoft Excel).
SVG files are microscopic when compressed using a zip program to convert to types like .zip, or the specific compressed SVG file type (.svgz).
SVG files can be added to other documents like Adobe PDF, and display well, without bloat.
Many types of plots can be produced:
This page generated from file svg.hpp.


BAZA CLEANSE AND PROTECT ODOR CONTROL- dimethicone lotion
Coloplast Manufacturing US, LLC
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Drug Facts
When using this product
Keep this and all drugs out of the reach of children. If swallowed, get medical help or contact a Poison Control Center right away.
Directions
Inactive ingredients allantoin, cetearyl alcohol, citric acid, diazolidinyl urea, fragrance, glycerin, glyceryl stearate, isopropyl palmitate, metfiylparaben, panthenol, propylene glycol, propylparaben, sodium laurovl lactvlate. soybean oil. tocoDhervl acetate (vitamin B. water, zinc ricinoleate
Manufactured by: Coloplast A/S DK-3050 Humlebaek, Denmark
Distributed by: Coloplast Corp. Minneapolis, MN 55411 U.S.A.
1-800-533-0464 www.us.coloplast.com Product #7725
©2008-9, Coloplast Corp. Made in the U.S.A
J8-1222
|
BAZA CLEANSE AND PROTECT ODOR CONTROL
dimethicone lotion | ||||||||||||||||||||||||||||||||||||
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| Labeler - Coloplast Manufacturing US, LLC (110326675) |
| Registrant - Coloplast Corp (847436391) |
| Establishment | |||
| Name | Address | ID/FEI | Business Operations |
|---|---|---|---|
| Coloplast Manufacturing US, LLC | 110326675 | MANUFACTURE(11701-062) |


PrivateKey wrapper to just store the alias of a private key.
Usually, HSM (hardware secure module) key entries are accessed via unique aliases and the private key material never
leaves the box. This class wraps a String key alias into a PrivateKey object, which helps on transferring
KeyPair objects without exposing the private key material. Then, whenever we need to sign with the actual private
key, we provide the alias from this AliasPrivateKey to the underlying HSM implementation.
A custom Blake2s hash algorithm used for testing purposes only
A tree data structure that enables the representation of composite public keys, which are used to represent
the signing requirements for multi-signature scenarios. A composite key is a list
of leaf keys and their contributing weight, and each leaf can be a conventional single key or a composite key.
Keys contribute their weight to the total if they are matched by the signature.
Factory for generating composite keys from ASN.1 format key specifications. This is used by CordaSecurityProvider.
Dedicated class for storing a set of signatures that comprise CompositeKey.
Custom class for holding signature data. This exists for later extension work to provide a standardised cross-platform
serialization format.
This object controls and provides the available and supported signature schemes for Corda.
Any implemented SignatureScheme should be strictly defined here.
However, only the schemes returned by {@link #listSupportedSignatureSchemes()} are supported.
Note that Corda currently supports the following signature schemes by their code names:
Interface for injecting custom digest implementation bypassing JCA.
The digest algorithm name. This class is to be used in Corda hashing API.
Basic hashing service, handling hashing of bytes.
Hide the FastThreadLocal class behind a Supplier interface
so that we can remove it for core-deterministic.
A wrapper around a digital signature.
A custom algorithm that implements a Double-SHA2-256 hash function
This is a collection of crypto related getInstance methods that tend to be quite inefficient and we want to be able to
optimise them en masse.
(extensions in package net.corda.v5.crypto)
(extensions in package net.corda.v5.crypto)
(extensions in package net.corda.v5.crypto.internal)
Creation and verification of a Merkle tree.
Building and verification of Partial Merkle Tree.
Partial Merkle Tree is a minimal tree needed to check that a given set of leaves belongs to a full Merkle Tree.
(extensions in package net.corda.v5.crypto.internal)
(extensions in package net.corda.v5.crypto)
(extensions in package net.corda.v5.crypto.internal)
Container for a cryptographically secure hash value.
Provides utilities for generating a cryptographic hash using different algorithms (currently only SHA-256 supported).
This class is used to define a digital signature scheme.
The SignatureVerificationService provides operation support for TransactionSignatureVerificationService
with base digital signature verification operations.


three.js
- GLTFLoader/Exporter +
KHR_materials_variants
extension
Materials Variants Shoe
by
Shopify, Inc
Royal Esplanade
by
HDRI Haven