PXOR ACC0, B0

	MOVOU (16*14)(pTbl), ACC0
	MOVOU (16*15)(pTbl), ACCM
	MOVOU ACC0, ACC1

	PCLMULQDQ $0x00, B0, ACC0
	PCLMULQDQ $0x11, B0, ACC1
	PSHUFD $78, B0, T0
	PXOR B0, T0
	PCLMULQDQ $0x00, T0, ACCM

	PXOR ACC0, ACCM
	PXOR ACC1, ACCM
	MOVOU ACCM, T0
	PSRLDQ $8, ACCM
	PSLLDQ $8, T0
	PXOR ACCM, ACC1
	PXOR T0, ACC0

	MOVOU POLY, T0
	PCLMULQDQ $0x01, ACC0, T0

#define K7 V26
#define K8 V27
#define K9 V28
#define K10 V29
#define K11 V30
#define KLAST V31

#define reduce() \
	VEOR	ACC0.B16, ACCM.B16, ACCM.B16     \
	VEOR	ACC1.B16, ACCM.B16, ACCM.B16     \
	VEXT	$8, ZERO.B16, ACCM.B16, T0.B16   \
	VEXT	$8, ACCM.B16, ZERO.B16, ACCM.B16 \
	VEOR	ACCM.B16, ACC0.B16, ACC0.B16     \
	VEOR	T0.B16, ACC1.B16, ACC1.B16       \
	VPMULL	POLY.D1, ACC0.D1, T0.Q1          \

// according to this technique.
//
// Fair queuing for server requests is inspired by the fair queuing
// technique from the world of networking.  You can find a good paper
// on that at https://dl.acm.org/citation.cfm?doid=75247.75248 or
// http://people.csail.mit.edu/imcgraw/links/research/pubs/networks/WFQ.pdf
// and there is an implementation outline in the Wikipedia article at
// https://en.wikipedia.org/wiki/Fair_queuing .
//

acea
aceasta
această
aceea
acei
aceia
acel
acela
acele
acelea
acest
acesta
aceste
acestea
aceşti
aceştia
acolo
acum
ai
aia
aibă
aici
al
ăla
ale
alea
ălea
altceva
altcineva
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are
aş
aşadar
asemenea
asta
ăsta
astăzi
astea
ăstea
ăştia
asupra
aţi
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avea

}

func complex128div(n complex128, m complex128) complex128 {
	var e, f float64 // complex(e, f) = n/m

	// Algorithm for robust complex division as described in
	// Robert L. Smith: Algorithm 116: Complex division. Commun. ACM 5(8): 435 (1962).
	if abs(real(m)) >= abs(imag(m)) {
		ratio := imag(m) / real(m)
		denom := real(m) + ratio*imag(m)
		e = (real(n) + imag(n)*ratio) / denom
		f = (imag(n) - real(n)*ratio) / denom
	} else {

Rene Groeschke <******@****.***> <******@****.***>
Rene Groeschke <******@****.***> <******@****.***>
Ryan <******@****.***> <******@****.***>
Rodrigo B. de Oliveira <******@****.***> <rbo@acm.org>
Sebastian Schuberth <******@****.***> <******@****.***>
Stefan Oehme <******@****.***> <******@****.***>
Sterling Greene <******@****.***> <******@****.***>

    </magic>
  </mime-type>

  <mime-type type="application/x-font-adobe-metric">
    <_comment>Adobe Font Metric</_comment>
    <glob pattern="*.afm"/>
    <glob pattern="*.acfm"/>
    <glob pattern="*.amfm"/>
    <magic priority="40">
      <match value="StartFontMetrics" type="string" offset="0"/>
    </magic>
  </mime-type>

    }

    @Override
    public Map<Artifact, Path> resolveArtifacts(Artifact... artifacts) {
        ArtifactCoordinateFactory acf = getService(ArtifactCoordinateFactory.class);
        List<ArtifactCoordinate> coords =
                Arrays.stream(artifacts).map(a -> acf.create(this, a)).collect(Collectors.toList());
        return resolveArtifacts(coords);
    }

    /**

 * conventional bounded queues, which either block or reject new elements when full.
 *
 * <p>This implementation is based on the <a
 * href="http://portal.acm.org/citation.cfm?id=6621">min-max heap</a> developed by Atkinson, et al.
 * Unlike many other double-ended priority queues, it stores elements in a single array, as compact
 * as the traditional heap data structure used in {@link PriorityQueue}.

	AWCDGB
	AVCDLG
	AVCDLGB
	AWCDLGB
	AVCGD
	AVCGDB
	AWCGDB
	AVCLGD
	AVCLGDB
	AWCLGDB
	AVFD
	AVFDDB
	AWFDDB
	AVLDE
	AVLDEB
	AWLDEB
	AVLED
	AVLEDB
	AWLEDB
	AVFM
	AVFMDB
	AWFMDB
	AVFMA
	AVFMADB
	AWFMADB
	AVFMS
	AVFMSDB
	AWFMSDB
	AVFPSO
	AVFPSODB
	AWFPSODB
	AVFLCDB
	AWFLCDB
	AVFLNDB
	AWFLNDB
	AVFLPDB
	AWFLPDB
	AVFSQ