SUBROUTINE CLAHQR( WANTT, WANTZ, N, ILO, IHI, H, LDH, W, ILOZ, $ IHIZ, Z, LDZ, INFO ) * * -- LAPACK auxiliary routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * * .. Scalar Arguments .. INTEGER IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N LOGICAL WANTT, WANTZ * .. * .. Array Arguments .. COMPLEX H( LDH, * ), W( * ), Z( LDZ, * ) * .. * * Purpose * ======= * * CLAHQR is an auxiliary routine called by CHSEQR to update the * eigenvalues and Schur decomposition already computed by CHSEQR, by * dealing with the Hessenberg submatrix in rows and columns ILO to * IHI. * * Arguments * ========= * * WANTT (input) LOGICAL * = .TRUE. : the full Schur form T is required; * = .FALSE.: only eigenvalues are required. * * WANTZ (input) LOGICAL * = .TRUE. : the matrix of Schur vectors Z is required; * = .FALSE.: Schur vectors are not required. * * N (input) INTEGER * The order of the matrix H. N >= 0. * * ILO (input) INTEGER * IHI (input) INTEGER * It is assumed that H is already upper triangular in rows and * columns IHI+1:N, and that H(ILO,ILO-1) = 0 (unless ILO = 1). * CLAHQR works primarily with the Hessenberg submatrix in rows * and columns ILO to IHI, but applies transformations to all of * H if WANTT is .TRUE.. * 1 <= ILO <= max(1,IHI); IHI <= N. * * H (input/output) COMPLEX array, dimension (LDH,N) * On entry, the upper Hessenberg matrix H. * On exit, if INFO is zero and if WANTT is .TRUE., then H * is upper triangular in rows and columns ILO:IHI. If INFO * is zero and if WANTT is .FALSE., then the contents of H * are unspecified on exit. The output state of H in case * INF is positive is below under the description of INFO. * * LDH (input) INTEGER * The leading dimension of the array H. LDH >= max(1,N). * * W (output) COMPLEX array, dimension (N) * The computed eigenvalues ILO to IHI are stored in the * corresponding elements of W. If WANTT is .TRUE., the * eigenvalues are stored in the same order as on the diagonal * of the Schur form returned in H, with W(i) = H(i,i). * * ILOZ (input) INTEGER * IHIZ (input) INTEGER * Specify the rows of Z to which transformations must be * applied if WANTZ is .TRUE.. * 1 <= ILOZ <= ILO; IHI <= IHIZ <= N. * * Z (input/output) COMPLEX array, dimension (LDZ,N) * If WANTZ is .TRUE., on entry Z must contain the current * matrix Z of transformations accumulated by CHSEQR, and on * exit Z has been updated; transformations are applied only to * the submatrix Z(ILOZ:IHIZ,ILO:IHI). * If WANTZ is .FALSE., Z is not referenced. * * LDZ (input) INTEGER * The leading dimension of the array Z. LDZ >= max(1,N). * * INFO (output) INTEGER * = 0: successful exit * .GT. 0: if INFO = i, CLAHQR failed to compute all the * eigenvalues ILO to IHI in a total of 30 iterations * per eigenvalue; elements i+1:ihi of W contain * those eigenvalues which have been successfully * computed. * * If INFO .GT. 0 and WANTT is .FALSE., then on exit, * the remaining unconverged eigenvalues are the * eigenvalues of the upper Hessenberg matrix * rows and columns ILO thorugh INFO of the final, * output value of H. * * If INFO .GT. 0 and WANTT is .TRUE., then on exit * (*) (initial value of H)*U = U*(final value of H) * where U is an orthognal matrix. The final * value of H is upper Hessenberg and triangular in * rows and columns INFO+1 through IHI. * * If INFO .GT. 0 and WANTZ is .TRUE., then on exit * (final value of Z) = (initial value of Z)*U * where U is the orthogonal matrix in (*) * (regardless of the value of WANTT.) * * Further Details * =============== * * 02-96 Based on modifications by * David Day, Sandia National Laboratory, USA * * 12-04 Further modifications by * Ralph Byers, University of Kansas, USA * * This is a modified version of CLAHQR from LAPACK version 3.0. * It is (1) more robust against overflow and underflow and * (2) adopts the more conservative Ahues & Tisseur stopping * criterion (LAWN 122, 1997). * * ========================================================= * * .. Parameters .. INTEGER ITMAX PARAMETER ( ITMAX = 30 ) COMPLEX ZERO, ONE PARAMETER ( ZERO = ( 0.0e0, 0.0e0 ), $ ONE = ( 1.0e0, 0.0e0 ) ) REAL RZERO, RONE, HALF PARAMETER ( RZERO = 0.0e0, RONE = 1.0e0, HALF = 0.5e0 ) REAL DAT1 PARAMETER ( DAT1 = 3.0e0 / 4.0e0 ) * .. * .. Local Scalars .. COMPLEX CDUM, H11, H11S, H22, SC, SUM, T, T1, TEMP, U, $ V2, X, Y REAL AA, AB, BA, BB, H10, H21, RTEMP, S, SAFMAX, $ SAFMIN, SMLNUM, SX, T2, TST, ULP INTEGER I, I1, I2, ITS, J, JHI, JLO, K, L, M, NH, NZ * .. * .. Local Arrays .. COMPLEX V( 2 ) * .. * .. External Functions .. COMPLEX CLADIV REAL SLAMCH EXTERNAL CLADIV, SLAMCH * .. * .. External Subroutines .. EXTERNAL CCOPY, CLARFG, CSCAL, SLABAD * .. * .. Statement Functions .. REAL CABS1 * .. * .. Intrinsic Functions .. INTRINSIC ABS, AIMAG, CONJG, MAX, MIN, REAL, SQRT * .. * .. Statement Function definitions .. CABS1( CDUM ) = ABS( REAL( CDUM ) ) + ABS( AIMAG( CDUM ) ) * .. * .. Executable Statements .. * INFO = 0 * * Quick return if possible * IF( N.EQ.0 ) $ RETURN IF( ILO.EQ.IHI ) THEN W( ILO ) = H( ILO, ILO ) RETURN END IF * * ==== clear out the trash ==== DO 10 J = ILO, IHI - 3 H( J+2, J ) = ZERO H( J+3, J ) = ZERO 10 CONTINUE IF( ILO.LE.IHI-2 ) $ H( IHI, IHI-2 ) = ZERO * ==== ensure that subdiagonal entries are real ==== DO 20 I = ILO + 1, IHI IF( AIMAG( H( I, I-1 ) ).NE.RZERO ) THEN * ==== The following redundant normalization * . avoids problems with both gradual and * . sudden underflow in ABS(H(I,I-1)) ==== SC = H( I, I-1 ) / CABS1( H( I, I-1 ) ) SC = CONJG( SC ) / ABS( SC ) H( I, I-1 ) = ABS( H( I, I-1 ) ) IF( WANTT ) THEN JLO = 1 JHI = N ELSE JLO = ILO JHI = IHI END IF CALL CSCAL( JHI-I+1, SC, H( I, I ), LDH ) CALL CSCAL( MIN( JHI, I+1 )-JLO+1, CONJG( SC ), H( JLO, I ), $ 1 ) IF( WANTZ ) $ CALL CSCAL( IHIZ-ILOZ+1, CONJG( SC ), Z( ILOZ, I ), 1 ) END IF 20 CONTINUE * NH = IHI - ILO + 1 NZ = IHIZ - ILOZ + 1 * * Set machine-dependent constants for the stopping criterion. * SAFMIN = SLAMCH( 'SAFE MINIMUM' ) SAFMAX = RONE / SAFMIN CALL SLABAD( SAFMIN, SAFMAX ) ULP = SLAMCH( 'PRECISION' ) SMLNUM = SAFMIN*( REAL( NH ) / ULP ) * * I1 and I2 are the indices of the first row and last column of H * to which transformations must be applied. If eigenvalues only are * being computed, I1 and I2 are set inside the main loop. * IF( WANTT ) THEN I1 = 1 I2 = N END IF * * The main loop begins here. I is the loop index and decreases from * IHI to ILO in steps of 1. Each iteration of the loop works * with the active submatrix in rows and columns L to I. * Eigenvalues I+1 to IHI have already converged. Either L = ILO, or * H(L,L-1) is negligible so that the matrix splits. * I = IHI 30 CONTINUE IF( I.LT.ILO ) $ GO TO 150 * * Perform QR iterations on rows and columns ILO to I until a * submatrix of order 1 splits off at the bottom because a * subdiagonal element has become negligible. * L = ILO DO 130 ITS = 0, ITMAX * * Look for a single small subdiagonal element. * DO 40 K = I, L + 1, -1 IF( CABS1( H( K, K-1 ) ).LE.SMLNUM ) $ GO TO 50 TST = CABS1( H( K-1, K-1 ) ) + CABS1( H( K, K ) ) IF( TST.EQ.ZERO ) THEN IF( K-2.GE.ILO ) $ TST = TST + ABS( REAL( H( K-1, K-2 ) ) ) IF( K+1.LE.IHI ) $ TST = TST + ABS( REAL( H( K+1, K ) ) ) END IF * ==== The following is a conservative small subdiagonal * . deflation criterion due to Ahues & Tisseur (LAWN 122, * . 1997). It has better mathematical foundation and * . improves accuracy in some examples. ==== IF( ABS( REAL( H( K, K-1 ) ) ).LE.ULP*TST ) THEN AB = MAX( CABS1( H( K, K-1 ) ), CABS1( H( K-1, K ) ) ) BA = MIN( CABS1( H( K, K-1 ) ), CABS1( H( K-1, K ) ) ) AA = MAX( CABS1( H( K, K ) ), $ CABS1( H( K-1, K-1 )-H( K, K ) ) ) BB = MIN( CABS1( H( K, K ) ), $ CABS1( H( K-1, K-1 )-H( K, K ) ) ) S = AA + AB IF( BA*( AB / S ).LE.MAX( SMLNUM, $ ULP*( BB*( AA / S ) ) ) )GO TO 50 END IF 40 CONTINUE 50 CONTINUE L = K IF( L.GT.ILO ) THEN * * H(L,L-1) is negligible * H( L, L-1 ) = ZERO END IF * * Exit from loop if a submatrix of order 1 has split off. * IF( L.GE.I ) $ GO TO 140 * * Now the active submatrix is in rows and columns L to I. If * eigenvalues only are being computed, only the active submatrix * need be transformed. * IF( .NOT.WANTT ) THEN I1 = L I2 = I END IF * IF( ITS.EQ.10 .OR. ITS.EQ.20 ) THEN * * Exceptional shift. * S = DAT1*ABS( REAL( H( I, I-1 ) ) ) T = S + H( I, I ) ELSE * * Wilkinson's shift. * T = H( I, I ) U = SQRT( H( I-1, I ) )*SQRT( H( I, I-1 ) ) S = CABS1( U ) IF( S.NE.RZERO ) THEN X = HALF*( H( I-1, I-1 )-T ) SX = CABS1( X ) S = MAX( S, CABS1( X ) ) Y = S*SQRT( ( X / S )**2+( U / S )**2 ) IF( SX.GT.RZERO ) THEN IF( REAL( X / SX )*REAL( Y )+AIMAG( X / SX )* $ AIMAG( Y ).LT.RZERO )Y = -Y END IF T = T - U*CLADIV( U, ( X+Y ) ) END IF END IF * * Look for two consecutive small subdiagonal elements. * DO 60 M = I - 1, L + 1, -1 * * Determine the effect of starting the single-shift QR * iteration at row M, and see if this would make H(M,M-1) * negligible. * H11 = H( M, M ) H22 = H( M+1, M+1 ) H11S = H11 - T H21 = H( M+1, M ) S = CABS1( H11S ) + ABS( H21 ) H11S = H11S / S H21 = H21 / S V( 1 ) = H11S V( 2 ) = H21 H10 = H( M, M-1 ) IF( ABS( H10 )*ABS( H21 ).LE.ULP* $ ( CABS1( H11S )*( CABS1( H11 )+CABS1( H22 ) ) ) ) $ GO TO 70 60 CONTINUE H11 = H( L, L ) H22 = H( L+1, L+1 ) H11S = H11 - T H21 = H( L+1, L ) S = CABS1( H11S ) + ABS( H21 ) H11S = H11S / S H21 = H21 / S V( 1 ) = H11S V( 2 ) = H21 70 CONTINUE * * Single-shift QR step * DO 120 K = M, I - 1 * * The first iteration of this loop determines a reflection G * from the vector V and applies it from left and right to H, * thus creating a nonzero bulge below the subdiagonal. * * Each subsequent iteration determines a reflection G to * restore the Hessenberg form in the (K-1)th column, and thus * chases the bulge one step toward the bottom of the active * submatrix. * * V(2) is always real before the call to CLARFG, and hence * after the call T2 ( = T1*V(2) ) is also real. * IF( K.GT.M ) $ CALL CCOPY( 2, H( K, K-1 ), 1, V, 1 ) CALL CLARFG( 2, V( 1 ), V( 2 ), 1, T1 ) IF( K.GT.M ) THEN H( K, K-1 ) = V( 1 ) H( K+1, K-1 ) = ZERO END IF V2 = V( 2 ) T2 = REAL( T1*V2 ) * * Apply G from the left to transform the rows of the matrix * in columns K to I2. * DO 80 J = K, I2 SUM = CONJG( T1 )*H( K, J ) + T2*H( K+1, J ) H( K, J ) = H( K, J ) - SUM H( K+1, J ) = H( K+1, J ) - SUM*V2 80 CONTINUE * * Apply G from the right to transform the columns of the * matrix in rows I1 to min(K+2,I). * DO 90 J = I1, MIN( K+2, I ) SUM = T1*H( J, K ) + T2*H( J, K+1 ) H( J, K ) = H( J, K ) - SUM H( J, K+1 ) = H( J, K+1 ) - SUM*CONJG( V2 ) 90 CONTINUE * IF( WANTZ ) THEN * * Accumulate transformations in the matrix Z * DO 100 J = ILOZ, IHIZ SUM = T1*Z( J, K ) + T2*Z( J, K+1 ) Z( J, K ) = Z( J, K ) - SUM Z( J, K+1 ) = Z( J, K+1 ) - SUM*CONJG( V2 ) 100 CONTINUE END IF * IF( K.EQ.M .AND. M.GT.L ) THEN * * If the QR step was started at row M > L because two * consecutive small subdiagonals were found, then extra * scaling must be performed to ensure that H(M,M-1) remains * real. * TEMP = ONE - T1 TEMP = TEMP / ABS( TEMP ) H( M+1, M ) = H( M+1, M )*CONJG( TEMP ) IF( M+2.LE.I ) $ H( M+2, M+1 ) = H( M+2, M+1 )*TEMP DO 110 J = M, I IF( J.NE.M+1 ) THEN IF( I2.GT.J ) $ CALL CSCAL( I2-J, TEMP, H( J, J+1 ), LDH ) CALL CSCAL( J-I1, CONJG( TEMP ), H( I1, J ), 1 ) IF( WANTZ ) THEN CALL CSCAL( NZ, CONJG( TEMP ), Z( ILOZ, J ), 1 ) END IF END IF 110 CONTINUE END IF 120 CONTINUE * * Ensure that H(I,I-1) is real. * TEMP = H( I, I-1 ) IF( AIMAG( TEMP ).NE.RZERO ) THEN RTEMP = ABS( TEMP ) H( I, I-1 ) = RTEMP TEMP = TEMP / RTEMP IF( I2.GT.I ) $ CALL CSCAL( I2-I, CONJG( TEMP ), H( I, I+1 ), LDH ) CALL CSCAL( I-I1, TEMP, H( I1, I ), 1 ) IF( WANTZ ) THEN CALL CSCAL( NZ, TEMP, Z( ILOZ, I ), 1 ) END IF END IF * 130 CONTINUE * * Failure to converge in remaining number of iterations * INFO = I RETURN * 140 CONTINUE * * H(I,I-1) is negligible: one eigenvalue has converged. * W( I ) = H( I, I ) * * return to start of the main loop with new value of I. * I = L - 1 GO TO 30 * 150 CONTINUE RETURN * * End of CLAHQR * END


{% extends "base.html" %} {% block content %}
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Status of constraint propagation and branching commit
[Programming actors]
Functions | |
| ExecStatus | Gecode::Space::ES_SUBSUMED (Propagator &p) |
| Propagator p is subsumed | |
| ExecStatus | Gecode::Space::ES_SUBSUMED_DISPOSED (Propagator &p, size_t s) |
| Propagator p is subsumed | |
| ExecStatus | Gecode::Space::ES_FIX_PARTIAL (Propagator &p, const ModEventDelta &med) |
| Propagator p has computed partial fixpoint | |
| ExecStatus | Gecode::Space::ES_NOFIX_PARTIAL (Propagator &p, const ModEventDelta &med) |
| Propagator p has not computed partial fixpoint | |
| template<class A > | |
| ExecStatus | Gecode::Space::ES_FIX_DISPOSE (Council< A > &c, A &a) |
| Advisor a must be disposed | |
| template<class A > | |
| ExecStatus | Gecode::Space::ES_NOFIX_DISPOSE (Council< A > &c, A &a) |
| Advisor a must be disposed and its propagator must be run | |
| template<class A > | |
| ExecStatus | Gecode::Space::ES_NOFIX_DISPOSE_FORCE (Council< A > &c, A &a) |
| Advisor a must be disposed and its propagator must be forcefully rescheduled |
Detailed Description
Note that the enum values starting with a double underscore should not be used directly. Instead, use the provided functions with the same name without leading underscores.
Function Documentation
| ExecStatus Gecode::Space::ES_SUBSUMED | ( | Propagator & | p | ) | [inline, inherited] |
| ExecStatus Gecode::Space::ES_SUBSUMED_DISPOSED | ( | Propagator & | p, | |
| size_t | s | |||
| ) | [inline, inherited] |
Propagator p is subsumed
The size of the propagator is s.
Note that the propagator must be subsumed and also disposed. So in general, there should be code such as
return ES_SUBSUMED_DISPOSE(home,*this,dispose(home))
.
- Warning:
- Has a side-effect on the propagator. Overwrites the modification event delta of a propagator. Use only directly with returning from propagation.
| ExecStatus Gecode::Space::ES_FIX_PARTIAL | ( | Propagator & | p, | |
| const ModEventDelta & | med | |||
| ) | [inline, inherited] |
| ExecStatus Gecode::Space::ES_NOFIX_PARTIAL | ( | Propagator & | p, | |
| const ModEventDelta & | med | |||
| ) | [inline, inherited] |
template<class A >
| ExecStatus Gecode::Space::ES_FIX_DISPOSE | ( | Council< A > & | c, | |
| A & | a | |||
| ) | [inline, inherited] |
template<class A >
| ExecStatus Gecode::Space::ES_NOFIX_DISPOSE | ( | Council< A > & | c, | |
| A & | a | |||
| ) | [inline, inherited] |
template<class A >
| ExecStatus Gecode::Space::ES_NOFIX_DISPOSE_FORCE | ( | Council< A > & | c, | |
| A & | a | |||
| ) | [inline, inherited] |
Advisor a must be disposed and its propagator must be forcefully rescheduled
Disposes the advisor and returns that the propagator of a must be run and must be forcefully rescheduled (including recomputation of cost).
- Warning:
- Has a side-effect on the advisor. Use only directly when returning from advise.


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Mod Help Player Guide
Make additional player guide topics available from supporting server mods.
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{% extends "layout.html" %} {% block content %}
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@(players: List[Player], allPlayersForDropdown: List[Player], latestScores: List[MatchScore]) @* * Call the `main` template with two arguments. The first * argument is a `String` with the title of the page, the second * argument is an `Html` object containing the body of the page. *@ @main("ABH Table Tennis Rankings") {


pips Red=121 White=173
(CorrectAnswer= 0/0, ErrorScore= 0)
Two thousand five hundred years ago, Sun Tzu wrote the classic book of military strategy based on Chinese warfare and military thought. Entitled “The Art of War”, the book has been used by all levels of the military ever since. Its teachings have been adapted for use in politics, business and everyday life.
Its teachings are also to applicable to representations of war and never forget that backgammon is precisely that. The two armies of fifteen soldiers manoeuvre on a small battleground and strive for ascendancy.
Two fundamental pieces of teaching from Sun Tzu are these: never let your army be split into groups that cannot communicate with each other; soldiers that are away from the field of battle cannot usefully contribute to that battle. In extremis this latter point can be extended to the well-known backgammon aphorism, “dead men tell no tales”.
This week’s position comes from this year’s World Championship. White was Akiko Yazawa, the 2014 World Champion, but the focus here is on Black. He has doubled and has a strong position. He would like to have thrown a three but 51 popped out of the cup. How should he play it?
He certainly had not read Sun Tzu’s book as he woodenly moved 10/5, 7/6. This play is safe, but it does not meet the demands of the position. After 10/5, 7/6 Black has 12 checkers in his home board that will not be moving for some time to come. While the home board acts as a deterrent those twelve checkers are effectively frozen in time and nearly all of his moves will have to be made with his three rear checkers.
Secondly, Black’s army is split in two and it is White who controls the outer boards. Because of this many of Black’s may become forced and the wrong double at the wrong time could crunch his home board.
Now look at the strength of 24/18. This keeps the bar point slotted and if there is an exchange of hits on the bar or elsewhere then Black’s strong home board may well come into play. Even 20/15, 7/6 was much better than the move played. The end result was that White took control of the game and ended up winning the game with a well-timed redouble.
“The Art of War” has stood the test of time for the very good reason that its teachings are as relevant today as when they were first written. You may not want to read the whole book but if you browse the Internet for some of its more famous quotes I am convinced they will improve your game.
Its teachings are also to applicable to representations of war and never forget that backgammon is precisely that. The two armies of fifteen soldiers manoeuvre on a small battleground and strive for ascendancy.
Two fundamental pieces of teaching from Sun Tzu are these: never let your army be split into groups that cannot communicate with each other; soldiers that are away from the field of battle cannot usefully contribute to that battle. In extremis this latter point can be extended to the well-known backgammon aphorism, “dead men tell no tales”.
This week’s position comes from this year’s World Championship. White was Akiko Yazawa, the 2014 World Champion, but the focus here is on Black. He has doubled and has a strong position. He would like to have thrown a three but 51 popped out of the cup. How should he play it?
He certainly had not read Sun Tzu’s book as he woodenly moved 10/5, 7/6. This play is safe, but it does not meet the demands of the position. After 10/5, 7/6 Black has 12 checkers in his home board that will not be moving for some time to come. While the home board acts as a deterrent those twelve checkers are effectively frozen in time and nearly all of his moves will have to be made with his three rear checkers.
Secondly, Black’s army is split in two and it is White who controls the outer boards. Because of this many of Black’s may become forced and the wrong double at the wrong time could crunch his home board.
Now look at the strength of 24/18. This keeps the bar point slotted and if there is an exchange of hits on the bar or elsewhere then Black’s strong home board may well come into play. Even 20/15, 7/6 was much better than the move played. The end result was that White took control of the game and ended up winning the game with a well-timed redouble.
“The Art of War” has stood the test of time for the very good reason that its teachings are as relevant today as when they were first written. You may not want to read the whole book but if you browse the Internet for some of its more famous quotes I am convinced they will improve your game.
1. Cubeful 2-ply 24/18 Eq.: +0.731 0.764 0.315 0.030 - 0.236 0.033 0.001 2. Cubeful 2-ply 20/15 7/6 Eq.: +0.705 (-0.026) 0.741 0.339 0.040 - 0.259 0.037 0.001 3. Cubeful 2-ply 10/5 7/6 Eq.: +0.684 (-0.047) 0.742 0.315 0.033 - 0.258 0.031 0.001 4. Cubeful 2-ply 24/23 20/15 Eq.: +0.661 (-0.071) 0.729 0.343 0.041 - 0.271 0.051 0.002 5. Cubeful 2-ply 20/15 10/9 Eq.: +0.650 (-0.081) 0.723 0.347 0.044 - 0.277 0.053 0.003


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string | application_key_ = "" |
| |
|
int | has_message_ = 0 |
| |
|
string | message_ = "" |
| |
|
int | kapplication_key = 1 |
| |
|
int | kmessage = 2 |
| |
The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/api/channel/channel_service_pb.py


Home
About
HELLO WELCOME TO MY PORFOLIO
This the audio about my dream profession
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<label class="textfield mod-block">
for a 100% width input.<input class="textfield-input is-filled">
to let the label on the upper state
with mod-material
.placeholder="…"
on textfield-input
.
You can add a is-loading
and a is-valid
or is-invalid
class
on <label class="textfield">
for your inline validation.
You can use a class mod-withSuffix
to support a suffix on your input.
mod-noLabel
class.
Inline textfields works well with mod-material
, but you can also use it with standard style.
mod-longest
,mod-longer
,mod-long
, mod-short
,mod-shorter
or
mod-shortest
.mod-material
&
mod-compact
<label class="textfield mod-block">
for a 100% width textarea.<label class="textfield-input is-filled">
to let the label on the upper state
with mod-material
.


Baseline, pull request and overlay links point to the DQM GUI.
Some changes in DQM files might not be clearly displayed in the DQM GUI, like presence/absence of efficiency flag or changed QT result when the ME that was tested didn't change.
For this reason, you can use raw baseline and raw pull request links to inspect ROOT files without interpreting them as DQM ROOT file.
| Baseline | Pull Request | Overlay (PR + base) | Raw baseline | Raw pull request | Removed, added and changed plots |
|---|


| No | Started | Ended | Last Exercise | Exercises Done | Completed |
|---|---|---|---|---|---|
| {{$index+1}} | {{historyItem.startedOn | date:'short'}} | {{historyItem.endedOn | date:'short'}} | {{historyItem.lastExercise}} | {{historyItem.exercisesDone}} | {{historyItem.completed ? "Yes" : "No"}} |
| No Workout History Found. |


Instance Properties (E-mail)
The E-mail page is used to specify the e-mail parameters that are needed in order to have
Serial Logger Service automatically e-mail the log file after each log rotation.
These parameters are not used if the log rotation setting is set to None.
All of the following parameters are required in order to have Serial Logger Service e-mail
the log file.
- SMTP Server (required)
- This is the DNS name or IP address of the SMTP server to use to relay the message to the
recipient. It is usually something like mail.myisp.com or
smtp.myisp.com.
- From Address (required)
- This is the e-mail address that will be used as the e-mail's sender. Any replies or
mail delivery errors will be sent to this e-mail address. It should have the format
<EMAIL_ADDRESS>- To Address (required)
- This is the e-mail address that Serial Logger Service will send the log file to.
It should have the format<EMAIL_ADDRESS>If you wish
to send to multiple recipients, you can enter multiple e-mail addresses separated
by commas<EMAIL_ADDRESS>user2@mydomain2.com).
- E-mail Current Log Now button
- Click this button to e-mail the current log file immediately. This can also be
used to test the e-mail settings.


--- layout: post authors: ["Anthony Scopatz"] title: "Scientific Computing at AIMS" date: 2013-09-15 time: "09:00:00" tags: ["Assessment", "Teaching", "Stories"] ---
Close on the heels of another bootcamp in Madison, WI, for the past two weeks I had the pleasure of teaching a 30 hour scientific computing course at the African Institute for Mathematical Sciences (AIMS) in Cape Town, South Africa. The course was an expansion and refactor of Software Carpentry material to fit the AIMS need. You can find the repository of source material here.
I could gush about how I fell in love with Cape Town, the unexpected preponderance of vegan cafes in Muizenberg, the sea, the sand, the mountains, and la dolce vita I am otherwise used to from Santa Barbara. I will not. AIMS is about the students. Let's examine them after a brief tour of AIMS itself.
AIMS, in association with its partner universities, provides a one year structured masters degree to exceptional students from all over Africa. This provides a needed stepping stone for many its students to pursue other universities across Africa and across the world that they would otherwise likely not have to opportunity to attend. The social goals at AIMS go hand in hand with the technical mission.
The Cape Town AIMS is the first such center and was opened in 2003. However, other AIMS centers are springing up in various other countries on what seems like an annual basis. There is also an associated AIMS research center in Cape Town which houses some doctoral and post-doctoral students as well as a related center dedicated to improving the educational methods of secondary school teachers (AIMSSEC).
The complex itself is a 4 story, 0 indexed building less than 100 meters from the ocean. Floor 0 contains a lecture hall, offices, kitchen and dining area. Floor 1 has more offices, the library, and a world class computer lab. Floor 2 houses the student dormitories. Floor 3 houses rooms for some staff and visitors, such as myself. In short AIMS is a mathematics monastery straight from my undergraduate physics major dreams.
The view from my room at AIMS, no fooling.
This year's class is approximately 50 students and hail from Egypt to Chad to Nairobi to South Africa itself. In the neighborhood of 20 countries were represented in the student body. As William, a student, put it "by visiting AIMS I visited all of Africa." However, national origin is only where the diversity starts.
40% - 50% of the students were women. Furthermore, It seemed that the age distribution ranged from mid-twenties to mid-forties. Additionally, though the ability to read and understand English was generally quite high, the ability to speak or understand spoken English varied from fluent to novice.
Technical ability was also all over the map. Some of the students it seemed had been professional Java developers in a past life. On the other hand there were some students who had learned to program Pascal out of a book and arriving at AIMS the week before was their first time ever using a computer.
Still, the students themselves were incredibly enthusiastic. Far more so than their Western counterparts I have taught. The computer lab at AIMS is open 24/7. I would often pop in between 11 pm and midnight and categorically I found 20 - 30 students still at their machines, working through the day's material, and discussing what they were learning in small groups.
A cynical person would claim that this phenomenon is due to the students having nothing else to do in sleepy Muizenberg. Naturally, they gravitated to the place where they have internet activity. I claim instead that the students acted with the purpose of learning. No one sits in lectures for six hours a day, day in and day out, in a language they are still acquiring, and then hits the books for another six hours afterwards if they do not feel that what they are doing is important and valuable. Perhaps this mathematical monastery should more rightly be denoted AIMS: Academics Inconsequent of Mortal Stamina.
Throughout all of AIMS, including the staff and administration, the software distribution is a model for how other, similar centers around the world should operate. Their stack is set up and managed by the preeminent Jan Groenewald who I know through the illustrious Katy Huff. The operating system is Ubuntu, the mail client is GMail, and courses are taught only with open source scientific software such as Python, SciPy, R, Octave, LaTeX, and Sage. This is my stack.
One of the neatest teaching aids that Jan and I ended up test driving and deploying is an application called epoptes. This is basically a screen sharing program with some extra bells and whistles that allow you to take over the student's computer as well. It was incredibly effective as long as you did not accidentally hit the button to shut down all of the student's machines.
If there was any lingering doubt, it has now been scrubbed away. The open scientific software stack is completely ready for prime time in the classroom. Anyone who is trying to sell you something is doing exactly that.
I taught the entire course from a series of IPython notebooks cribbed from Software Carpentry. Some of these were tutorials I had originally written a couple of years ago. Humorously, I found that the documentation lesson had not been significantly altered in that time.
However, forking from Software Carpentry required significant amounts of extra effort in some cases to make the lectures complete for my AIMS needs. (I have since pull requested these updates back though they are waiting for a merge.) I was very tempted to use some material from the Python Bootcamp at UC Berkeley. I did not because of licenses. Software Carpentry material is CC BY v3.0 licensed. The Berkeley Python material is CC BY-NC-SA v3.0 licensed. Even though I am not currently planning on reusing this material, the threat that I would be forbidden from doing so in some circumstances was enough to drive me away from the non-commercial copyleft terms. Ironically, on the first Tuesday I was at AIMS, the class took a field trip to the University of Cape Town to see Richard Stallman speak. He convinced me.
In terms of the instruction, I had the incidental privilege of giving the first lecture of the academic year. It became clear after a few lessons - introduction to scientific computing, BASH, git - that I would have to adapt my teaching style. Luckily, the students shared an advanced mathematics background. I could assume that they all knew linear algebra, differential equations, and set theory.
Teaching to the middle 80% at AIMS would not have worked. The students were too diverse of a group in too many ways. Focusing on the mythical middle 80% would have meant leaving everyone behind in some way all of the time rather than leaving some people out most of the time. I felt that if I had chosen to teach to the middle 80% I would be ignoring the core missions of both AIMS and Software Carpentry.
So what changed? Linguistically, I tried to teach to the bottom 10%. The students who already knew English did not mind that I spoke slowly and directly and repeated myself often and it made a world of difference to those who did not know English as well. I did not always hit my 10% goal but it was certainly worth trying to get there.
At the tutors' (teaching assistants) request, we also instituted brief reviews of previous material. Since I taught the shell on the first day we went over useful commands on second and third. This gradually morphed into a generic question and answer session at the beginning of every class that would last up to 30 minutes of a two hour block. For many students, the multi-day reinforcement was critical.
That said, the most fundamental change was that I taught as much as I could in analogy to mathematical principles. Functions are functions, operators are operators, and sets are sets. This made certain topics, such as slicing and recursion much easier, but other topics, such as decorators and scoping, a little more difficult.
Overall, after I made these adjustments, the course went smoothly. I would love to have the opportunity to go back and restructure the entire course with AIMS students in mind now that I know who they are and how they differ from the standard research-distracted Western graduate student.
As any good instructor would do, I ran assessment surveys before and after the course. This is as much to gauge the students as my teaching ability. Since the course was derived from Software Carpentry I used the official pre- and post-assessment surveys. Since the raw data is not anonymized, if you would like access to it please contact me.
On the subject of programming to do basic data analysis tasks, a huge leap was made over the course of the two weeks. Figure 1 shows a comparison for tasks involving opening a plaintext file, reading in data, and computing summary statistics. Most students went from not knowing where to start to feeling that they could successfully accomplish this task given enough time.
Figure 1: (a) Pre-assessment question, "Write a short program to read a file containing columns of numbers separated by commas, average the non-negative values in the second and fifth columns, and print the results." (b) Post-assessment question, "A comma-delimited file has two columns showing the date and the number of sun spots recorded for that day. Write a program to produce a graph showing the average number of sun spots for each month."
However, the most staggering advancement was with respect to the shell. This makes a certain amount of sense as BASH was the first technical subject we discussed. Consequently, the shell was the most reinforced material. It was reviewed at least once per day. Figure 2 shows that the distribution in ability basically flipped.
Figure 2: (a) Pre-assessment question, "In a directory with 1000 text files, create a list of all files that contain the word Drosophila, and redirect the output to a file called results.txt." (b) Post-assessment question, "How familiar do you think you are with the command line shell?"
Lastly, I made an unorthodox decision to try to teach version control as early as possible. So the second day, right after the shell lectures, we spent 4 hours on the details of how to use git. I mostly received blank stares. However since I ran the course from a bitbucket repository the students had ample opportunity to reinforce what they learned. Figure 3 displays an advancement that, while not quite as staggering as those above, is great to see given the importance of the topic. I doubt that any of the students would now say that they do not know what version control is and what it is useful for, even if they claim to not know how to use git.
Figure 3: (a) Pre-assessment question, "Check out a working copy of a project from version control, add a file called paper.txt, and commit the change." (b) Post-assessment question, "How familiar do you think you are with the version control stem used in your bootcamp?"
Overall, I find these results very encouraging. I was able to seed some fundamental best practices. However, it is now up to the AIMS staff and tutors to shore up these ideas with continued education and practice. As this was a self assessment, and not a competency assessment per-say, the students definitely seemed to take something away themselves.
At the end of the two weeks, the students sat me down in a chair at the front of the class and presented me with a thank you card. Along with this they read a statement prepared by the class. This was definitely one of the most rewarding moments of the course - and possibly of my life to date. I wanted to laugh and cry at the same time. The statement went as follows:
We are so grateful for teaching us the course Scientific Computing, the Python language especially. We are also grateful to your style of lecturing in that you welcomed questions and you were so patient with everyone despite our variety of accents. You answers every question by first saying, and I quote "Aaaah, Okaaaay, that's a very good question." This encouraged all of us to ask question and we benefited - we are really grateful.
Taken while I listen to the goodbye speech from the students.
The student William from before also got up and said a few words, some of which were, "Anthony, you are not a trained teacher, but a born teacher." I really appreciate this comment on all levels.
However, the real showcase of the impact that this course had is in what the students wrote in the card. My favorite and most telling inscriptions were:
Audrey = "thank you Anthony"
print Audrey
keep in touch - git pull
I may forget Python, but not you. Thank you!!
Personally, I would like to thank Barry Green, Jeff Sanders, and Jan Groenewald for giving AIMS its superior environment and extending to me the opportunity to come and lecture about some of my favorite topics. Additionally, I'd like to thanks the class tutors, Adriaan van Vuuren, Antonio Cardoso, Eva Ujeneza, Evans Ocansey, Markus Kruger, Mekdes Tessema, and Morgan Magloire Pene, there is no doubt in my mind that the class would not have run half as well.
In closing, AIMS is an incredibly special place. If you ever have and opportunity to visit the Cape Town campus or another location I highly encourage you to take it. I promise that you will not regret it!
Jubilant photograph with the students after the final lecture.


Turkish Airlines Boeing 737's front gear breaks off during hard landing in Odesa – media
No casualties have been reported as all passengers were safely evacuated.
A Turkish Airlines Boeing 737 (TC-JGZ), flying from Istanbul, had its front gear break off during a hard landing in Odesa Airport Thursday evening.
According to Dumskaya outlet, the crew managed to safely bring the plane to a halt, while staying within the runway – between the third and fourth taxiways.
All passengers were evacuated through inflatable ramps.
No casualties have been reported.
The report says strong winds in the airport area hindered the first landing attempt, and the hard landing came at the second attempt.
As the front gear failed, emergency services were immediately deployed to the scene.
At the moment, the handicapped liner is blocking the runway.


ABOUT US
UFRJ's Electric Engineering Week is an event held at the Tecnology Center of the Federal University of Rio de Janeiro, organized by the Eletric Engineering Department. The event has as a goal the capacitation of engineers and future engineers, aimed to the new tendencies of energy sectors, technology and job market, offering them a diversity of activities during the week.
Lectures
Roundtables
Workshops
Short Courses
OUR NUMBERS
Impacted Institutions
Booked
Lectures and Roundtables
Planted Trees
OUR AREAS
During the event we took some Knowledge Paths:
OUR PORFOLIO
We gathered here some of the event's pictures.
OUR TEAM
The team that worked hard to see the event happening.
Committee and Staff at the closing event
SENEL AND THE ENVIRONMENT
During the event, we monitored carbon dioxide emissions, accounting for transport
emissions, the used electric energy
and the produced trash. This way, aiming to
maintain environmental
balance, SENEL, together with the Âmbar consultants,
planted several seedlings.
TESTIMONIALS
OUR SPONSORS
The companies that made SENEL possible, with the trust they put in our work.
CONTACT
Here you can find our contact informations, location and send us a message.


Outbreak Explorer
Version 0.1.0 alpha
Parameters
Open
Save
Share
Simulations
Open
Save
Model
Agents
Rules
Visualization Panel
Control Panel
Run Simulation
Back
Forward
Social Parameter
Value
Biomedical Parameter
Value
Number of People
R0
Number of Days
Transmission Probability
Initial Infected
Reinfection Probability
Social Interactions
Progression Period
SD
Social Distancing
Recovery Days
SD
Mask Wearing
Hospitalization Probability
Prevalence of Immunity
Death Probability
Visitors


---
layout: page
title: FreeRADIUS 'man' pages
subtitle: Documentation from the server
subpage: true
navorder: 200
hero: documentation
subnav:
- text: Programs
link: '/radiusd/man/#programs'
- text: Configuration Files
link: '/radiusd/man/#files'
- text: Modules
link: '/radiusd/man/#modules'
---
CLIENTS
Section: File Formats (5)
Updated: 16 March 2001
Index
Return to Main Contents
NAME
clients - RADIUS clients file
DESCRIPTION
The
clients file resides in the radius database directory,
by default
/etc/raddb. Its use is depreciated in favour of
clients.conf.
Every line starting with a hash sign
('#')
is treated as comment and ignored.
Each line of the file contains two white-space delimited fields.
- client
-
The RADIUS clients hostname. This may be a plain hostname, or a
dotted-quad IP address.
- secret
-
This is the so-called "shared secret" that is held between a RADIUS
server and client. It is used to encrypt passwords in RADIUS packets,
and also for authentication. You need to configure the same secret
on the client (terminal server) as in this file.
The
clients
file is read by radiusd on startup only.
FILES
/etc/raddb/clients
SEE ALSO
radiusd(8),
clients.conf(5)
naslist(5)
Index
- NAME
-
- DESCRIPTION
-
- FILES
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 11:13:12 GMT, August 01, 2017


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{% include "scaffold/incbootstrap.html" %}
Reviewer:
Review permissions must be granted before reviewers can be assigned to tracks.
{{tracks[t]}}


A simulation of intentional virus infection and disinfection in a population. The bad guys (red) either move randomly or greedily chase after the nearest uninfected individual (in orange). Infected individuals (in purple) move randomly and may be disinfected by good guys (in green) who likewise eeither move randomly or greedily.
This model uses a carefully constructed notion of random movement. If individuals take a random walk (changing direction every time step), their actions tend to be jittery and rarely go far. Instead one might have each individual pick a random location on-screen, then achieve that location, then pick another random location, etc. It turns out this second approach tends to cause too many individuals to be clustered in the middle of the field, as most paths from random A to random B will cross through the field center. Our agents do something in-between: they pick a random location no more than half the field's diameter away.


支持PNG、JPG或JPEG格式文件不超过50M
© Untitled. All rights reserved. | Photos by Fotogrph | Design by TEMPLATED.
hhhhhh


#include <Camera.h>
Public Member Functions | |
| Camera () | |
| Default constructor. | |
| glm::mat4 | SetPerspective (float fov, float aspectRatio, float nearPlane, float farPlane) |
| Default constructor. | |
| void | PositionCamera (float positionX, float positionY, float positionZ, float yaw, float pitch) |
| Sets up the camera. | |
| glm::mat4 | GetRotationMatrix () |
| Gets the rotation matrix. | |
| glm::mat4 | GetProjectionMatrix () |
| Gets the projection matrix. | |
| glm::mat4 | GetViewMatrix () |
| Gets the view matrix. | |
| void | SetPosition (glm::vec3 position) |
| Sets camera position. | |
| glm::vec3 & | GetPosition () |
| Gets the camera position. | |
| glm::vec3 | GetView () |
| Gets the camera view. | |
| glm::vec3 | GetUp () |
| Gets the camera position. | |
| float & | GetYaw () |
| Gets the camera yaw. | |
| void | SetYaw (float yaw) |
| Sets the yaw. | |
| float & | GetPitch () |
| Gets the camera pitch. | |
| void | SetPitch (float pitch) |
| Sets the camera pitch. | |
| void | SetSpeed (double speed) |
| Sets the camera movement speed. | |
| double | GetSpeed () |
| Gets the camera speed. | |
| void | SetRotationSpeed (double speed) |
| Sets the camera rotation speed. | |
| double | GetRotationSpeed () |
| Gets the camera rotation speed. | |
| void | SetViewByMouse (float mouseX, float mouseY) |
| Sets the view of the camera according to the mouse movement. | |
| void | MoveCamera (float speed) |
| Moves the camera. | |
Protected Attributes | |
| glm::mat4 | m_projectionMatrix |
| The camera's projection matrix. | |
| glm::vec3 | m_position |
| The camera's position. | |
| float | m_speed = 50.0 |
| The camera's speed that is used with a time slice. | |
| float | m_rotationSpeed = 2 |
| The rotation speed for the camera. | |
| double | m_mouseSpeed = 0.001 |
| The speed for the mouse rotations. | |
| float | m_yaw = 0 |
| The horizontal rotation angle (in radians) y-axis. | |
| float | m_pitch = 0 |
| The vertical rotation angle (in radians) x-axis. | |
| float | m_fov |
| The fov. | |
| float | m_aspectRatio |
| aspect ratio of the screen | |
| float | m_nearPlane |
| minimum rendering distance | |
| float | m_farPlane |
| maximum rendering distance |
Basic camera class This class contains the camera object that will allow us to move around and view the world.
Definition at line 27 of file Camera.h.
| Camera::Camera | ( | ) | [inline] |
Default constructor.
Constructor sets the default origin of the camera at 0,0,0.
Definition at line 37 of file Camera.h.
References m_position.
00037 { 00038 m_position = glm::vec3(0.0, 0.0, 0.0); 00039 m_distanceFromPlayer = 450.0; 00040 m_angleAroundPlayer = 0.0; 00041 }
| glm::mat4 Camera::SetPerspective | ( | float | fov, | |
| float | aspectRatio, | |||
| float | nearPlane, | |||
| float | farPlane | |||
| ) |
Default constructor.
This sets the perspective matrix that is built from the field of fiew, aspect ratio and near/far planes
| float | fov | |
| float | aspectRatio | |
| float | nearPlane | |
| float | farPlane |
Definition at line 3 of file Camera.cpp.
References m_aspectRatio, m_farPlane, m_fov, m_nearPlane, m_projectionMatrix, and glm::perspective().
00004 { 00005 m_fov = fov; 00006 m_aspectRatio = aspectRatio; 00007 m_nearPlane = near; 00008 m_farPlane = far; 00009 00010 m_projectionMatrix = glm::perspective(m_fov, m_aspectRatio, m_nearPlane, m_farPlane); 00011 00012 return m_projectionMatrix; 00013 }
| void Camera::PositionCamera | ( | float | positionX, | |
| float | positionY, | |||
| float | positionZ, | |||
| float | yaw, | |||
| float | pitch | |||
| ) |
Sets up the camera.
This sets the Position and the yaw and pitch rotations (in radians).
| float | positionX | |
| float | positionY | |
| float | positionZ | |
| float | yaw | |
| float | pitch |
Definition at line 15 of file Camera.cpp.
References m_pitch, m_position, and m_yaw.
00016 { 00017 m_position = glm::vec3(positionX, positionY, positionZ); 00018 m_yaw = yaw; 00019 m_pitch = pitch; 00020 }
| glm::mat4 Camera::GetRotationMatrix | ( | ) |
Gets the rotation matrix.
This function builds and returns a rotation matrix from the yaw and pitch rotations.
Definition at line 22 of file Camera.cpp.
References glm::degrees(), m_pitch, m_yaw, and glm::rotate().
Referenced by GetUp(), GetView(), and GetViewMatrix().
00023 { 00024 glm::mat4 rotationMatrix(0.5f); 00025 00026 // Add the Pitch rotation along the x and y axis 00027 rotationMatrix = glm::rotate(rotationMatrix, glm::degrees(m_pitch), glm::vec3(1, 0, 0)); 00028 rotationMatrix = glm::rotate(rotationMatrix, glm::degrees(m_yaw), glm::vec3(0, 1, 0)); 00029 00030 return rotationMatrix; 00031 }
| glm::mat4 Camera::GetProjectionMatrix | ( | ) | [inline] |
Gets the projection matrix.
This function returns the current projection matrix.
Definition at line 87 of file Camera.h.
References m_projectionMatrix.
Referenced by OpenGl::Render().
00087 { return m_projectionMatrix; }
| glm::mat4 Camera::GetViewMatrix | ( | ) |
Gets the view matrix.
This function returns the current view matrix.
Definition at line 33 of file Camera.cpp.
References GetRotationMatrix(), glm::inverse(), m_position, and glm::translate().
00034 { 00035 // Return a view matrix by multiplying our rotation matrix by the inverse of a translation matrix 00036 return GetRotationMatrix() * glm::inverse(glm::translate(glm::mat4(), m_position)); 00037 }
| void Camera::SetPosition | ( | glm::vec3 | position | ) | [inline] |
Sets camera position.
This function sets the camera's position to the parameter given vec3.
Definition at line 105 of file Camera.h.
References m_position.
00105 { m_position = position; }
| glm::vec3& Camera::GetPosition | ( | ) | [inline] |
Gets the camera position.
This function returns the cameras position in a vec3.
Definition at line 114 of file Camera.h.
References m_position.
00114 { return m_position; }
| glm::vec3 Camera::GetView | ( | ) |
Gets the camera view.
This function returns the cameras position in a vec3.
Definition at line 39 of file Camera.cpp.
References GetRotationMatrix(), and glm::inverse().
Referenced by MoveCamera().
00040 { 00041 // Looking down the negative z-axis. 00042 glm::vec4 viewVector = glm::inverse(GetRotationMatrix()) * glm::vec4(0, 0, -1, 1); 00043 00044 return glm::vec3(viewVector); 00045 }
| glm::vec3 Camera::GetUp | ( | ) |
Gets the camera position.
This function returns the camera's up vector (the direction pointing up) from the rotation matrix.
Definition at line 47 of file Camera.cpp.
References GetRotationMatrix(), and glm::inverse().
00048 { 00049 glm::vec4 upVector = glm::inverse(GetRotationMatrix()) * glm::vec4(0, 1, 0, 1); 00050 00051 return glm::vec3(upVector); 00052 }
| float& Camera::GetYaw | ( | ) | [inline] |
| void Camera::SetYaw | ( | float | yaw | ) | [inline] |
| float& Camera::GetPitch | ( | ) | [inline] |
| void Camera::SetPitch | ( | float | pitch | ) | [inline] |
| void Camera::SetSpeed | ( | double | speed | ) | [inline] |
| double Camera::GetSpeed | ( | ) | [inline] |
| void Camera::SetRotationSpeed | ( | double | speed | ) | [inline] |
Sets the camera rotation speed.
This function sets the rotation speed of the camera to the double parameter given.
| double | speed |
Definition at line 200 of file Camera.h.
References m_rotationSpeed.
00200 { m_rotationSpeed = (float)speed; }
| double Camera::GetRotationSpeed | ( | ) | [inline] |
Gets the camera rotation speed.
This function returns the rotation speed of the camera.
Definition at line 209 of file Camera.h.
References m_rotationSpeed.
00209 { return m_rotationSpeed; }
| void Camera::SetViewByMouse | ( | float | mouseX, | |
| float | mouseY | |||
| ) |
Sets the view of the camera according to the mouse movement.
This sets the pitch and yaw of our camera from the mouse x and y deltas from the last frame.
| float | mouseX | |
| float | mouseY |
| void Camera::MoveCamera | ( | float | speed | ) |
Moves the camera.
This function will move the camera forward or backwards depending on the speed (negative for backwards).
| float | speed |
Definition at line 54 of file Camera.cpp.
References GetView(), and m_position.
00055 { 00056 // Get our normalized view vector 00057 glm::vec3 viewVector = GetView(); 00058 00059 m_position.x += viewVector.x * speed; 00060 m_position.z += viewVector.z * speed; 00061 }


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'The Crown' star Helena Bonham Carter said the key to playing a royal is not moving your upper lip when you speak, Business Insider - Business Insider Singapore
by Hayley Peppin- Helena Bonham Carter said the secret to playing a royal lies within the upper lip.
- Bonham Carter told Stephen Colbert she had a voice coach to help with her portrayal of Princess Margaret in Netflix’s “The Crown,” after “The Late Show” host said a royal accent sounded very specific and different to other British accents.
- “There’s all sorts of different sounds in the sort of royal accent so basically you can’t move your upper lip,” Bonham Carter said.
- The actress also said during the interview that her uncle used to date the late Princess Margaret and how the royal herself once both criticized and complimented her acting skills during their first meet.
- Bonham Carter is playing Princess Margaret for seasons three and four of the award-winning show about the British royal family.
- Watch the full interview below.
- Visit Insider’s homepage for more stories.
Read more:


Next: Conforming Programs, Previous: Conformance, Up: Conformance
A conforming implementation shall adhere to the requirements outlined in this section.


1 But some of the Greeks, wishing to be notable for cleverness, put forward three opinions about this river, two of which I would not even mention except just to show what they are.
2 One of them maintains that the Etesian winds are the cause of the river being in flood, because they hinder the Nile from emptying into the sea. But there are many times when the Etesian winds do not blow, yet the Nile does the same as before.
3 And further, if the Etesian winds were the cause, then the other rivers which flow contrary to those winds should be affected like the Nile, and even more so, since being smaller they have a weaker current. Yet there are many rivers in Syria and many in Libya, and they behave nothing like the Nile.


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You can have photos of the plants you will receive, as they are at this stag.
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I would prefer some discussion before an unsolicited code contribution, i.e., pull request. This ensures that your effort is not wasted and that we’re aligned on how to improve the janitor package.
This is especially true if your proposed contribution does not match a currently open issue. If that’s the case, please open new issue(s) to have the discussion there, prior to submitting code.
If your proposed contribution addresses multiple issues, it should ideally be broken into multiple pull requests. This will make it easier for me to review and approve.
git clone https://github.com/<yourgithubusername>/janitor.git
janitor
at sfirke/janitor
) by doing git remote add upstream https://github.com/sfirke/janitor.git
. Before making changes make sure to pull changes in from upstream by doing either git fetch upstream
then merge later or git pull upstream
to fetch and merge in one stepsfirke/janitor


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Welcome to C-PAC’s Documentation!¶
Once a distant goal, discovery science for the human connectome is now a reality. Researchers who previously struggled to obtain neuroimaging data from 20-30 participants are now exploring the functional connectome using data acquired from thousands of participants, made publicly available through the 1000 Functional Connectomes Project and the International Neuroimaging Data-sharing Initiative (INDI) . However, in addition to access to data, scientists need access to tools that will facilitate data exploration. Such tools are particularly important for those who are inexperienced with the nuances of fMRI image analysis, or those who lack the programming support necessary for handling and analyzing large-scale datasets.
The Configurable Pipeline for the Analysis of Connectomes (C-PAC) is a configurable, open-source, Nipype-based, automated processing pipeline for resting state functional MRI (R-fMRI) data, for use by both novice and expert users. C-PAC was designed to bring the power, flexibility and elegance of the Nipype platform to users in a plug and play fashion—without requiring the ability to program. Using an easy to read, text-editable configuration file or a graphical user interface, C-PAC users can rapidly orchestrate automated R-fMRI processing procedures, including:
- standard quality assurance measurements
- standard image preprocessing based upon user specified preferences
- generation of functional connectivity maps (e.g., seed-based correlation analyses)
- customizable extraction of time-series data
- generation of graphical representations of the connectomes at various scales (e.g., voxel, parcellation unit)
- generation of local R-fMRI measures (e.g., regional homogeneity, voxel-matched homotopic connectivity, frequency amplitude measures)
Importantly, C-PAC makes it possible to use a single configuration file to launch a factorial number of pipelines differing with respect to specific processing steps (e.g., spatial/temporal filter settings, global correction strategies, motion correction strategies, group analysis models). Additional noteworthy features include the ability to easily:
- customize C-PAC to handle any systematic directory organization
- specify Nipype distributed processing settings
C-PAC maintains key Nipype strengths, including the ability to:
- interface with different software packages (e.g., FSL, AFNI, ANTS)
- protect against redundant computation and/or storage
- automatically carry out input checking, bug tracking and reporting
Future updates will include more configurability, advanced analytic features (e.g., support vector machines, cluster analysis) and diffusion tensor imaging (DTI) capabilities.
For more information and additional tutorials, check out our YouTube channel , as well as slides from our previous presentations:
- CPAC Connectome Analysis in the Cloud
- Open science resources for ‘Big Data’ Analyses of the human connectome
- Computational approaches for mapping the human connectome
The C-PAC Team¶
Funding Acknowledgements¶
Primary support for the work by Michael P. Milham, Cameron Craddock and the INDI team was provided by gifts from Joseph P. Healey and the Stavros Niarchos Foundation awards to Dr. Milham (R03MH096321) and F.X. Castellanos (R01MH083246).
User Guide Index¶
- Installing C-PAC
- Setting Up A Subject List
- Setting Up A Pipeline Configuration
- Computable Derivatives
- Setting Up Group Analysis
- Running C-PAC
- Running C-PAC as a Docker App
- Using C-PAC in the AWS Cloud
- Preconfigured Files
- C-PAC Benchmark
- Troubleshooting and Help
- Release Notes
- Version 1.0.0 Beta - 2016.10.03
- Version 0.3.9 Alpha - 2015.04.02
- Version 0.3.8 Alpha - 2014.12.10
- Version 0.3.7 Alpha - 2014.10.29
- Version 0.3.6 Alpha - 2014.10.08
- Version 0.3.5 Alpha - 2014.09.22
- Version 0.3.4 Alpha - 2014.04.08
- Version 0.3.3 Alpha - 2013.12.31
- Version 0.3.2 Alpha - 2013.11.04
- Version 0.3.1 Alpha - 2013.09.13
- Version 0.1.9 Alpha - 2013.03.18
- Version 0.1.8 Alpha - 2013.2.20
- Version 0.1.7 Alpha - 2013.02.05
- Version 0.1.6 Alpha - 2013.01.21
- Version 0.1.1 Alpha - 2012.10.15


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" script and // . paste it into your HTML file to compile and // . define your rollover button. ------------>


Sending e-mail¶
Although Python makes sending e-mails relatively easy via the smtplib library, Scrapy provides its own facility for sending e-mails which is very easy to use and it’s implemented using Twisted non-blocking IO, to avoid interfering with the non-blocking IO of the crawler. It also provides a simple API for sending attachments and it’s very easy to configure, with a few settings.
Quick example¶
There are two ways to instantiate the mail sender. You can instantiate it using the standard constructor:
from scrapy.mail import MailSender
mailer = MailSender()
Or you can instantiate it passing a Scrapy settings object, which will respect the settings:
mailer = MailSender.from_settings(settings)
And here is how to use it to send an e-mail (without attachments):
<EMAIL_ADDRESS>subject="Some subject", body="Some body"<EMAIL_ADDRESS>MailSender class reference¶
MailSender is the preferred class to use for sending emails from Scrapy, as it uses Twisted non-blocking IO, like the rest of the framework.
-
class
scrapy.mail.
MailSender
(smtphost=None, mailfrom=None, smtpuser=None, smtppass=None, smtpport=None)¶ Parameters: - smtphost (str or bytes) – the SMTP host to use for sending the emails. If omitted, the
MAIL_HOST
setting will be used. - mailfrom (str) – the address used to send emails (in the
From:
header). If omitted, theMAIL_FROM
setting will be used. - smtpuser – the SMTP user. If omitted, the
MAIL_USER
setting will be used. If not given, no SMTP authentication will be performed. - smtppass (str or bytes) – the SMTP pass for authentication.
- smtpport (int) – the SMTP port to connect to
- smtptls (boolean) – enforce using SMTP STARTTLS
- smtpssl (boolean) – enforce using a secure SSL connection
-
classmethod
from_settings
(settings)¶ Instantiate using a Scrapy settings object, which will respect these Scrapy settings.
Parameters: settings ( scrapy.settings.Settings
object) – the e-mail recipients
-
send
(to, subject, body, cc=None, attachs=(), mimetype='text/plain', charset=None)¶ Send email to the given recipients.
Parameters: - to (str or list of str) – the e-mail recipients
- subject (str) – the subject of the e-mail
- cc (str or list of str) – the e-mails to CC
- body (str) – the e-mail body
- attachs (iterable) – an iterable of tuples
(attach_name, mimetype, file_object)
whereattach_name
is a string with the name that will appear on the e-mail’s attachment,mimetype
is the mimetype of the attachment andfile_object
is a readable file object with the contents of the attachment - mimetype (str) – the MIME type of the e-mail
- charset (str) – the character encoding to use for the e-mail contents
- smtphost (str or bytes) – the SMTP host to use for sending the emails. If omitted, the
Mail settings¶
These settings define the default constructor values of the MailSender
class, and can be used to configure e-mail notifications in your project without
writing any code (for those extensions and code that uses MailSender
).
MAIL_USER¶
Default: None
User to use for SMTP authentication. If disabled no SMTP authentication will be performed.
MAIL_TLS¶
Default: False
Enforce using STARTTLS. STARTTLS is a way to take an existing insecure connection, and upgrade it to a secure connection using SSL/TLS.


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Hello,
I have an RFM12Pi setup and its receiving data from my emonTX v2 and the temperature from the EmonGLCD, but the EmonGLCD is not updating the time from the Raspberry Pi. I've used the pre-built card and HomeEnergyMonitor.ino as downloaded from the emonGLCD github. I checked and the emonbase node is 15 in the EmonGLCD code as well as /boot/emonhub.conf.
Any ideas? Cheers.
Re: EmonGLCD time update
An additional setting is required in the [[RFM2Pi]] [[[runtimesettings]]] of /boot/emonhub.conf. for example add
interval = 300
to update the time every 5 mins (5 x 60 secs)
Paul
Re: EmonGLCD time update
Excellent! Thanks Paul.
Re: EmonGLCD time update
Hi Paul,
How does the interval setting affect the setting in the file emonhub_interfacer.py ? You previously mentioned to modify in this line to set the transmit interval from packetgen.
if now - self._control_timestamp > 5:
On another point, my emonhub.conf is located in ~/emonhub/conf and not under /root. Is that OK?
Finally, can you clarify the [nodes] settings in the file emonhub.config? Should the [[99]] be set to the emonbase node number? And what datacodes are available and how to use them?
Re: EmonGLCD time update
Hi
The "packetgen mod" is pretty much self contained the interval setting shouldn't effect it's operation at all.
The location of the conf file isn't critical as long as emonHub can find it, the standard place is /etc/emonhub/emonhub.conf the dev-emonhub installer symlinks the git installed file located in ~/emonhub/conf to that location, In the latest sdcard image the conf file was moved to the /boot partition so that it could be edited on a PC directly using a SD card reader.
I'm hoping we can adopt a single combined method of symlinking /boot/emonhub.conf to /etc/emonhub/emonhub.conf in the near future so all references can be made to the one location, /etc/emonhub/emonhub.conf and still be able to edit the conf on a PC.
The [nodes] section is to list node data for decoding. [[99]] is just an example layout (node 99 was chosen so as not to clash with any pre-existing nodes) take a look at this thread emonHub development - increase in scope of values over rfm network it will give you an overview of how datacode(s) and the [nodes] section are used. the thread was written quite early in the development of emonHub and a few details have changed but the principle is exactly the same.
Re: EmonGLCD time update
OK thanks Paul!
Re: EmonGLCD time update
That's brilliant. Thanks Paul. I hit the same issue today.
I've added your instructions to the main emonGLCD wiki page to help others.
Jonathan
Re: EmonGLCD time update
Hello. I am using
1. Pi v1.5 with emon GLCD with ready to go image
2. Home energy monitor sketch on GLCD.
I am unable to update both the time and power being consumed now (on the GLCD) although it is being updated on the local emoncms.
I have added the interval 300 command as stated above and the time and date on pi is also up to date. What can be the issue?


I do Visual Analytics, i.e., I include the user in the big data analysis/science loop.
john.guerra[~at~]gmail.comInformation Visualization Researcher and Engineer. I help people extract insights from their data using interactive infovis and data science. PhD in Computer Science, Assistant Professor at Uniandes, Remote Lecturer at the Master in Data Science at UCBerkeley. I conduct research on Visual Analytics, Accessibility, Big data, Human Centered Data Science and Web Development
A search engine for tactile images for the blind.
Twitter monitor and analyzer for different topics
Representing groups of photos with numeric attributes. Work in progress, pending publication.
Visual analytics tool for understanding large networks. Pending publication.
Visualizing five dimensions of change in a dataset changing over time using hierarchies
Comparing changes between trees on structure and node values.
A visual analytics tool for temporal categorical data. Helped developing the comparison modules as part of a broader project.
A system to allow blind children to see colors and shapes with their hands
Here is a sample of everything I've been building and doing


THE ADDICTION
USA. 1994. Director - Abel Ferrara, Screenplay - Nicholas St. John, Producers - Denis Hann & Fernando Sulichin, Photography (b&w) - Ken Kelsch, Music - Joe Delia, Production Design - Charles Lagola,. Production Company - Fast Films. Lili Taylor (Kathleen Conklin), Edie Falco (Jean), Christopher Walken (Pena), Paul Caldaron (Professor), Kathryn Erbe (Anthropology Student), Annabella Sciorra (Casanova)
Plot: Philosophy student Kathleen Conklin is bitten by and transformed into a vampire. As she succumbs to the vampiric urges she comes to understand that the vampire is really a mirror of the cruelty and violence that is at the heart of human nature.
The concept of the vampire was inherited into Western popular culture via Bram Stoker's `Dracula'. As a result of Stoker's legacy the vampire has always been rooted in Christian concepts of good and evil with the vampire representing an animal sexuality hidden beneath the decorum of mannered society being despatched by confident men who stride a resolute line between science and religion. The cinematic vampire was popularized by the Bela Lugosi ‘Dracula' in 1931 and the hundreds of vampire films that have followed since have almost all fallen into this symbolic resonance. But in the 1970s and 80s the vampire film began to abandon classical notions of good and evil. Firstly it was the tacit recognition of films like ‘Count Yorga, Vampire' (1970), `Dracula A.D. 1972' (1972), `Blacula' (1972) and `Love at First Bite' (1979) that the Victorian trappings of the vampire film only had limited potential and that the vampire in cape and dinner-suit cut a rather absurd, unthreatening figure when brought into the present.
In the 1980s and beyond, the vampire film began to implicitly accept the death of the traditional reason and religion vs bestial nature dualism. But ironically instead of dying out the vampire film began to flourish more than ever before. The resulting films could be thrown into three rough categories - those which overtly spoofed and parodied the traditional vampire (the likes of ‘Dracula: Dead and Loving It', `I Bought a Vampire Motorcycle', `Vampire Trailer Park') or conducted generic pastiches (ie vampire cop show - tv's `Forever Knight', vampire getaway film - `From Dusk Till Dawn', vampire mafia - `Innocent Blood'). Or else those films which dragged the vampire into the modern world and transformed the character into a kind of badass punk - `The Lost Boys', `Near Dark', `Blade'. And thirdly those which inverted the metaphors of Bram Stoker about sexual repression to turn vampirism into a kind of dark, sensual forbidden romance - the `Graveyard Shift' films, `Bram Stoker's Dracula', `To Die For', `The Nosferatu Diaries: Embrace of the Vampire'.
The rarest among the new vampire films have been those which have sought to reinvent and question the metaphors of vampirism. The first film to try this was ‘Incense for the Damned' aka `Bloodsuckers' (1969) which ambitiously tried to develop vampirism as a metaphor for sexual impotency. But the film that really succeeded here was the exceptional `Martin' (1976) which pared all classical mythology away with rather startling effect - contrasting a pallid and weak bloodsucker up against his family who insisted with absurdly cruel inappropriateness on classical religious symbolism. Other notable examples might be the German film ‘Jonathan' (1970) which transformed vampirism into a metaphor for Nazism and feudalism and the underrated ‘Interview with the Vampire: The Vampire Chronicles' (1994) which conducted an elegant vampiric existential quest with the hero setting out with the question if he is not evil, what then is the purpose of his condition.
`The Addiction' is another of these rare attempts at re-evaluation. The film was directed by Abel Ferrara, who has made the likes of `Driller Killer' (1979), `Ms. 45' (1980), `Bad Lieutenant' (1992) and `Body Snatchers' (1993). Throughout almost all of Ferrara and his writing partner Nicholas St John's work lie twin themes - a fascination with the darkest depths that the human soul is capable of scouring and the belief in the redemptive power of Catholicism. These twin fascinations find their most potent expression in `Bad Lieutenant' - a muck-scouring excoriation of human degradation that eventually finds Catholic redemption in the forgiving of a killer. And in some ways `The Addiction' is almost like a reiteration of `Bad Lieutenant' with Lili Taylor's vampire philosophy doctorate in the place of Harvey Keitel's drugged-out, woebegone cop, conducting in philosophical terms the same descent into all that is vile before finding its salvation.
`The Addiction' has a tendency to make one feel like they are being hit over the head by the collected works of Western nihilist philosophy. The film quotes Sartre and Kierkegaard and engages in debates about determinism and redemption through guilt while Ferrara-regular Christopher Walken turns up as a vampire who sees himself as an avatar of Nietzschean meta-morality. It is quite the weightiest film that one has seen in some time. But at the same time Ferrara and St John turn it into an extraordinary meditation on human nature and its fundamental predisposition toward evil. They see the vampire as a complex metaphor for an evil that is endemic to human nature. "The old saying that `Those who do not learn from history are doomed to repeat it' is a lie," meditates Taylor. "The real question is what can be done to stop the blight spreading." The film bombards one with images of Me Lei and the Holocaust - in the opening scene alone Taylor exits a Holocaust museum and debates what the point is of convicting political leaders of war crimes when war crimes are crimes of mass guilt.  Ferrera also offers up some strikingly modern images of vampirism - in one scene Taylor shooting up blood with a syringe like an addict. Although after conducting such an extraordinary and gloomily bleak excavation of the human condition, Taylor and Ferrara's acceptance of the redeeming power of Catholicism at the end seems a little glib and even cursory.
In the end it is not the best of Ferrara's films. The philosophical heaviness of it stands in the way of easy entertainment value and some corner-cutting lower-budget values are apparent at times. But what cannot be denied is that it is a powerful and complex reworking of the central metaphors of vampirism. Compare it to `Nadja' which was released only a few months after `The Addiction'. Both are very similar films - both are shot in black-and-white and both feature a predatory female vampire stalking the modern world. But whereas `Nadja' was merely content with conducting a stylistic pastiche of `Dracula's Daughter' (1936), `The Addiction' tackles the challenge of mounting an entire philosophical reconception of vampirism.
Copyright 1998 Richard Scheib
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Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


Functions in JavaScript
Lets Get Functional
Good afternoon. It's a pleasure seeing you again. Are you excited about our next topic? I am.
Review
Before we jump in, let's review what we've covered so far.
The Purpose and Uses of JavaScript
We discussed the purpose of JavaScript and the many ways in which it's used: in the browser, on the server with node, and in games. (This very presentation uses JavaScript in both the browser and on the server!)
Methods and Calling Them
Next, we discussed methods and how to call them. When writing JavaScript, you will likely spend more time on calling methods than on anything else, so you may want to go back and review this part if you feel at all unsure about it.
Basic Operations
We then covered basic operations: doing math, changing strings, variables and properties, and the like. We used a lot of methods here. Now, before we continue, let me stop and thank you for your patience. We covered quite a bit of material here, all while only seeing our results on the console.
Changing the Webpage
But it was worth the wait, wasn't it? We ended up doing some pretty cool stuff once we started changing the webpage itself, didn't we?
Review
The Purpose and Uses of JavaScript
Calling Methods
Basic Operations
Changing the Webpage
I thought you'd appreciate seeing some dramatic results before we moved onto the next part, which gets much more technical. Are you ready?
Functions in JavaScript
Or How I Learned to Stop Worrying and Love Variable Closure
Now we'll talk about a fundamental part of JavaScript: Functions.
Defining Functions
The function
keyword
function myFunc (withArg) {
console.log("This function was called, and with " + withArg + "!");
}
Here's how we define a function. We'll go over each part of the syntax now.
Defining Functions
The function
keyword
function myFunc (withArg) {
console.log("This function was called, and with " + withArg + "!");
}
The "function" keyword tells the compiler that we're defining a function.
The name of the function, here "myFunc," is optional. We'll revisit that.
The arguments to the function, just like method arguments.
The code of the function itself, wrapped in curly brackets.
Calling Functions
In the console or on the command line:
>> myFunc("A String");
This function was called with A String!
To use the code in the function, we call it like so: with the name, then parens around each of the arguments. Looks familiar, doesn't it? Let's review.
Methods
Always called with a subject: myVariable .itsMethod()
.
e.g. console .log("Example String")
.
Here's a description of methods in JavaScript ... (I'll explain "subject" in a moment.)
Functions
No subject: myFunction()
.
e.g. alert("A Message")
.
... And a description of functions.
Methods
Always called with a subject: myVariable .itsMethod()
.
e.g. console .log("Example String")
.
Functions
No subject: myFunction()
.
e.g. alert("A Message")
.
The similarity is uncanny, isn't it?
Methods vs. Functions
The War of the Words
Well then, what does it mean for a method to "be called with a subject"? That requires some context, and a relevation: In JavaScript, methods are functions! (Big caveat: The distinction between methods and functions is stronger in some other languages.)
Creating Methods
myObject.itsMethod = function () {
console.log("Called a method on an object.");
};
And here's how they're created: by assigning them to properties on objects. Here's the thing: This is more than just a nice way of managing your code (as opposed to defining all of your methods at the top level).
"this" is What You Wanted
myObject.aProperty = "this is a property";
myObject.myMethod = function () {
console.log("The property aProperty is set to: " + this.aProperty");
};
myObject.myMethod() // "This property aProperty is set to: this is a property"
"What a minute," you're saying. "What's does 'this' mean, and why are you using it when you still haven't explained what it means for a method to be called with a subject?"
"this" is What it Means
myObject.myMethod = function () {
console.log(myObject === this); // true
}
"this" is the implicit subject! Using "this," we don't have to name the subject explicitly. This will become very important soon.
Functions and "this"
function myFunc() {
console.log(myFunc === this); // false
console.log(window === this); // true (in a browser)
console.log(root === this); // true (in node.js)
}
What does that mean for functions? In JavaScript, there's always a "this". Browsers default to the "window" object. node.js defaults to "root". Since functions always have a subject, they're indistinguishable from methods.
Functions and Names
var myFunc = function () { /* ... */ };
The similarities don't end there. They're interchangeable on multiple levels. Functions are first-class, like numbers and strings, etc., so you can assign them to variables. (Not quite the same.)
Functions as Properties
myObject.myMethod = myFunc;
And that means you can assign functions to objects as properties!
"This" is Important
var myFunc = function () { console.log(this) };
myFunc(); // "window" or "root"
myObject.myMethod = myFunc;
myObject.myMethod(); // ?
// this === myObject
Can you guess what "this" will be when myMethod is called? myObject! Correct! By assigning the function to the property of the object, we've changed the function's subject.
"This" Isn't Always That
var myFunc = function () { console.log(this === myObject) };
myObject.myMethod = myFunc;
anotherObject.anotherMethod = myFunc;
myObject.myMethod(); // true
anotherObject.anotherMethod(); // false! myObject !== anotherObject
The value of "this" can change. It all depends on the subject of the method.
"This" is Complicated
This is a lot to absorb at once, so I'll be pausing for questions. We'll look at some practical uses of functions next.
You Can't Return Home Again
(But you can return other values)
function tripleANumber(aNumber) { return aNumber * 3; }
console.log(tripleANumber(7)); // 21
You can return values from functions and methods. This is how methods like toUpperCase, as we saw last lesson, work.
War and Pieces of Code
var complicatedOperation = function (arg1, arg2) {
/* Many, many lines of code. */
};
// Only one line here!
complicatedOperation(obj1, obj2);
// Run all that code again, without copy/paste!
complicatedOperation(obj3, obj4);
If you find that you're about to copy and paste some code, you can put it into a function instead, then call the function in both the original place and the new place. This can save you a lot of trouble when it comes time to change that code down the road.
Tonight's Special Event
var onClickButton = function () {
console.log("You clicked on ", this); // What's "this"?
this.style.width = this.style.width * 2;
};
document.getElementById('my-button')
.addEventListener("click", onClickButton);
We saw how to change elements in the last lesson. This is how we make those elements interactive. Can you guess the value of "this"? It's the element itself! You can attach the same function to multiple elements, and have the function change each element separately.
Later, Alligator
var showAlert = function () { alert("Done!"); };
setTimeout(showAlert, 5*1000);
setTimeout is a function that takes a function and a number of milliseconds.
After the given number of milliseconds, it will call the function.
Questions and Answers
We've covered a lot of material so far, and dense material at that, so I'm sure there will be plenty of questions. Let's get started on those.
Follow-up
Read the Mozilla Developer Network (https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Functions) documentation
Experiment with code
Email me with your questions<EMAIL_ADDRESS>There's still plenty more to cover in regard to functions, but the steps above will help quite a bit! We'll dive more into the particulars and edge cases next lesson. See you all next time!
Keep Coding And Carry On
© James Holder 2015


--- layout: default ---
Install Pathogen to install vim plugins easily.
" indentation guides
" for tabs
set list listchars=tab:‧\ ,trail:·,extends:»,precedes:«,nbsp:×
" otherwise
let g:indentLine_char = '│'
set tw=80 " limit the length of lines to ~80 characters
Remember: visual select, then
=
will indent your codegq
will split your codes into lines as long as the tw property (text wrap)


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--- layout: default title: Adrian Sarno, Data Scientist ---
Welcome to my professional site. I am publishing short posts about data science, and I'm also putting together a Portfolio of my projects.


The Julia Language
A fresh approach to technical computing.
thecedarprince
I maintain the Julia Streamers Website, teach linear algebra, and work on beginner Julia Exercises.
evalparse
I stream on everything that can be evaluated and parsed
BrainRPG
I work on open source Julia contributions to physics (numerical relativity), high performance codes, spanish translations and tutorials. All are welcome and we try to be educational.


Working with spatial and attribute data
Spatial data
- Spatial data, also called geographic data, is information that describes the location and the geometry of features.
- You can see this information on the computer screen or as a printed map.
- All the maps in the atlas are examples of spatial data.
Attribute data
- Attribute data is tabular or textual data that describes the geographic characteristics or non-spatial information of features.
- Examples of attribute data for a river might be the name of the river, length, stream order, drainage basin name, sediment load and discharge.
- Attribute data can be either vector data or raster data (e.g. satellite image).
- In raster datasets, information is associated with a unique value of a raster cell.


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{% extends "base.html" %} {% block maincontents %}
| S.No. | Service Name | Service Code | Cost Per Month | Is Any Offer Available? | Discount Percentage | Wish to delete? | {% for service in services %}
|---|---|---|---|---|---|---|
| {{ loop.index }} | {{ service.service_name }} | {{ service.code }} | {{ service.service_cost_per_month }} | {{ service.is_offer_available }} | {{ service.discount_percent }} | DELETE |


|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
| Interface Summary | |
|---|---|
| CarteServletInterface |
| Class Summary | |
|---|---|
| AddExportServlet | This servlet allows you to transport an exported job or transformation over to the carte server as a zip file. |
| AddJobServlet | |
| AddTransServlet | |
| AllocateServerSocketServlet | This servlet allows a client (TransSplitter in our case) to ask for a port number. This port number will be allocated in such a way that the port number is unique for a given hostname. This in turn will ensure that all the slaves will use valid port numbers, even if multiple slaves run on the same host. |
| BaseHttpServlet | |
| Carte | |
| CarteObjectEntry | A carte object entry in the transformation or job maps |
| CarteServlet | |
| CarteSingleton | |
| CarteTest | |
| CleanupTransServlet | |
| ExecuteTransServlet | |
| GetJobStatusServlet | |
| GetRootServlet | |
| GetSlavesServlet | |
| GetStatusServlet | |
| GetTransStatusServlet | |
| JobMap | This is a map between the job name and the (running/waiting/finished) job. |
| ListServerSocketServlet | This servlet allows a client (TransSplitter in our case) to ask for a port number. This port number will be allocated in such a way that the port number is unique for a given hostname. This in turn will ensure that all the slaves will use valid port numbers, even if multiple slaves run on the same host. |
| NextSequenceValueServlet | This servlet allows a client (TransSplitter in our case) to ask for a port number. This port number will be allocated in such a way that the port number is unique for a given hostname. This in turn will ensure that all the slaves will use valid port numbers, even if multiple slaves run on the same host. |
| PauseTransServlet | |
| PrepareExecutionTransServlet | |
| RegisterSlaveServlet | |
| RemoveJobServlet | |
| RemoveTransServlet | |
| SlaveSequence | |
| SlaveServerConfig | |
| SlaveServerDetection | This class is what describes the information that we keep when we detect a slave server in the cloud / cluster. It contains the slave server information as well as the time it was last seen alive, whether it is still alive, etc. |
| SlaveServerJobStatus | |
| SlaveServerStatus | |
| SlaveServerTransStatus | |
| SniffStepServlet | |
| SocketPortAllocation | |
| SocketRepository | This singleton keeps a repository of all the server sockets. |
| SocketRepositoryEntry | This entry contains a server socket as well as detailed about the process that is using it. |
| StartExecutionTransServlet | |
| StartJobServlet | |
| StartTransServlet | |
| StopJobServlet | |
| StopTransServlet | |
| TransformationMap | This is a map between the transformation name and the (running/waiting/finished) transformation. |
| TransformationMapTest | |
| WebResult | |
| WebServer |
| Enum Summary | |
|---|---|
| SlaveServerDetection.SlaveRelationShip |
|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


"""
.. _sec-pw-constant:
Mean shift
====================================================================================================
Description
----------------------------------------------------------------------------------------------------
For a given number of samples :math:`T`, number of changepoints :math:`K` and noise variance :math:`\sigma^2`, this function generates change point indexes :math:`0<t_1<\dots<t_K<T` and a piecewise constant signal :math:`\{y_t\}_t` with additive Gaussian noise.
Usage
----------------------------------------------------------------------------------------------------
Start with the usual imports and create a signal.
.. code-block:: python
import numpy as np
import matplotlib.pylab as plt
import ruptures as rpt
# creation of data
n, dim = 500, 3 # number of samples, dimension
n_bkps, sigma = 3, 5 # number of change points, noise standart deviation
signal, bkps = rpt.pw_constant(n, dim, n_bkps, noise_std=sigma)
rpt.display(signal, bkps)
The mean shift amplitude is uniformly drawn from an interval that can be changed through the keyword ``'delta'``.
.. code-block:: python
signal, bkps = rpt.pw_constant(n, dim, n_bkps, noise_std=sigma, delta=(1, 10))
Code explanation
----------------------------------------------------------------------------------------------------
.. autofunction:: ruptures.datasets.pw_constant.pw_constant
"""
import numpy as np
from numpy import random as rd
from ruptures.utils import draw_bkps
[docs]def pw_constant(n_samples=200, n_features=1, n_bkps=3, noise_std=None,
delta=(1, 10)):
"""Return a piecewise constant signal and the associated changepoints.
Args:
n_samples (int): signal length
n_features (int, optional): number of dimensions
n_bkps (int, optional): number of changepoints
noise_std (float, optional): noise std. If None, no noise is added
delta (tuple, optional): (delta_min, delta_max) max and min jump values
Returns:
tuple: signal of shape (n_samples, n_features), list of breakpoints
"""
# breakpoints
bkps = draw_bkps(n_samples, n_bkps)
# we create the signal
signal = np.empty((n_samples, n_features), dtype=float)
tt_ = np.arange(n_samples)
delta_min, delta_max = delta
# mean value
center = np.zeros(n_features)
for ind in np.split(tt_, bkps):
if ind.size > 0:
# jump value
jump = rd.uniform(delta_min, delta_max, size=n_features)
spin = rd.choice([-1, 1], n_features)
center += jump * spin
signal[ind] = center
if noise_std is not None:
noise = rd.normal(size=signal.shape) * noise_std
signal = signal + noise
return signal, bkps


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