We have spent a lot of work to get GUIA running, so it would be very nice if you could donate some bugs to us. Below we give you some services where you can give us some money. At the same time you will allways have the opportunity to click the flattr button on every page in GUIA.
PayPal - Pledgie - Flattr
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany
I am a software developer from Hannover, Germany


Knockulty Drone Racing Club was founded in 2017.
It has 30 members and competes in national tournaments in Ireland.
Knockulty Drone Racing Club was founded in 2017.
It has 30 members and competes in national tournaments in Ireland.
Events
National Leaderboard
Member Benefits


Compute canonical correlations between two sets of variables and optionally create a dataset of scores
STATS CANCORR SET1=variables* SET2=variables*
/OPTIONS
SCORINGSYNTAX = “file”
ROOTNAME = variable name
COMPUTECVARS = YES or NO**
CENTEREDDS = dataset
NDIMS = integer
/PRINT
PAIRWISECORR = YES** or NO
LOADINGS = YES** or NO
VARPROP = YES** or NO
COEFFICIENTS = YES** or NO
/HELP
* Required
** Default
STATS CANCORR /HELP displays this help and does nothing else.
STATS CANCOR SET1=y1 y2 SET2=x1 x2 x3
/OPTIONS SCORINGSYNTAX = "C:/syntax/scoring.sps"
ROOTNAME = score COMPUTECVARS = YES CENTEREDDS = centered.
SET1 and SET2 specify the two sets of variables whose
canonical correlations should be computed.
Listwise deletion is used for missing values.
If SCORINGSYNTAX is specified, a syntax file creating code to calcuate scores is written. It can be used with another dataset if the names match. The syntax begins with mean centering the input data. ROOTNAME is required if this keyword is used.
ROOTNAME specifies a prefix for the score variables to be created.
The full names are ROOTNAME_set#_corr#
where set#
is set1
or set2
and
corr#
goes from 1 to the number of canonical correlations. Keep
the root name short enough that the complete name is no longer
than 64 bytes.
COMPUTECVARS specifies whether or not to compute the scores. If YES, the input variables are mean centered and written to a new dataset which also contains the scores. *CENTEREDDS and ROOTNAME are required if this is used.
CENTEREDDS is the name for the centered dataset. It is ignored if COMPUTECVARS is NO.
By default, all dimensions of the canonical correlations are used for scoring. Specify NDIMS=n to use a smaller number.
The PRINT subcommand controls what optional output is displayed.
© Copyright IBM Corp. 1989, 2014


Class SvgConverter
This is the abstract base class for all SVG
to WPF converters.
Inheritance
Implements
Inherited Members
Namespace: SharpVectors.Converters
Assembly: SharpVectors.Converters.Wpf.dll
Syntax
public abstract class SvgConverter : DependencyObject, IDisposable
Constructors
SvgConverter()
Initializes a new instance of the SvgConverter class with the default parameters and settings.
Declaration
protected SvgConverter()
SvgConverter(WpfDrawingSettings)
Initializes a new instance of the SvgConverter class with the specified drawing or rendering settings.
Declaration
protected SvgConverter(WpfDrawingSettings settings)
Parameters
| Type | Name | Description |
|---|---|---|
| WpfDrawingSettings | settings | This specifies the settings used by the rendering or drawing engine. If this is null, the default settings is used. |
SvgConverter(Boolean, Boolean, WpfDrawingSettings)
Initializes a new instance of the SvgConverter class with the specified drawing or rendering settings and the saving options.
Declaration
protected SvgConverter(bool saveXaml, bool saveZaml, WpfDrawingSettings settings)
Parameters
| Type | Name | Description |
|---|---|---|
| Boolean | saveXaml | This specifies whether to save result object tree in XAML file. |
| Boolean | saveZaml | This specifies whether to save result object tree in ZAML file. The ZAML is simply a G-Zip compressed XAML format, similar to the SVGZ. |
| WpfDrawingSettings | settings | This specifies the settings used by the rendering or drawing engine. If this is null, the default settings is used. |
Fields
_background
Declaration
protected SolidColorBrush _background
Field Value
| Type | Description |
|---|---|
| SolidColorBrush |
_dpiX
Declaration
protected double _dpiX
Field Value
| Type | Description |
|---|---|
| Double |
_dpiY
Declaration
protected double _dpiY
Field Value
| Type | Description |
|---|---|
| Double |
_isEmbedded
Declaration
protected bool _isEmbedded
Field Value
| Type | Description |
|---|---|
| Boolean |
_saveXaml
Declaration
protected bool _saveXaml
Field Value
| Type | Description |
|---|---|
| Boolean |
_saveZaml
Declaration
protected bool _saveZaml
Field Value
| Type | Description |
|---|---|
| Boolean |
_useFrameXamlWriter
Declaration
protected bool _useFrameXamlWriter
Field Value
| Type | Description |
|---|---|
| Boolean |
_wpfRenderer
Declaration
protected WpfDrawingRenderer _wpfRenderer
Field Value
| Type | Description |
|---|---|
| WpfDrawingRenderer |
_wpfSettings
Declaration
protected WpfDrawingSettings _wpfSettings
Field Value
| Type | Description |
|---|---|
| WpfDrawingSettings |
_wpfWindow
Required designer variable.
Declaration
protected WpfSvgWindow _wpfWindow
Field Value
| Type | Description |
|---|---|
| WpfSvgWindow |
BackupExt
Declaration
public const string BackupExt = ".bak"
Field Value
| Type | Description |
|---|---|
| String |
CompressedSvgExt
Declaration
public const string CompressedSvgExt = ".svgz"
Field Value
| Type | Description |
|---|---|
| String |
CompressedXamlExt
Declaration
public const string CompressedXamlExt = ".zaml"
Field Value
| Type | Description |
|---|---|
| String |
SvgExt
Declaration
public const string SvgExt = ".svg"
Field Value
| Type | Description |
|---|---|
| String |
XamlExt
Declaration
public const string XamlExt = ".xaml"
Field Value
| Type | Description |
|---|---|
| String |
Properties
Background
Gets or sets a brush that describes the background of a image.
Declaration
public SolidColorBrush Background { get; set; }
Property Value
| Type | Description |
|---|---|
| SolidColorBrush | The brush that is used to fill the background of the control. The default is null or transparent. |
DpiX
Gets the horizontal dots per inch (dpi) of the static image.
Declaration
public double DpiX { get; set; }
Property Value
| Type | Description |
|---|---|
| Double | The horizontal dots per inch (dpi) of the image; that is, the dots per inch (dpi) along the x-axis. |
DpiY
Gets the vertical dots per inch (dpi) of the static image.
Declaration
public double DpiY { get; set; }
Property Value
| Type | Description |
|---|---|
| Double | The vertical dots per inch (dpi) of the image; that is, the dots per inch (dpi) along the y-axis. |
DrawingSettings
Gets the settings used by the rendering or drawing engine.
Declaration
public WpfDrawingSettings DrawingSettings { get; }
Property Value
| Type | Description |
|---|---|
| WpfDrawingSettings | An instance of WpfDrawingSettings specifying all the options for rendering or drawing. |
SaveXaml
Gets or sets a value indicating whether to save the conversion output to the XAML
file.
Declaration
public bool SaveXaml { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | This is true if the conversion output is saved to the |
SaveZaml
Gets or sets a value indicating whether to save the conversion output to the ZAML
file.
Declaration
public bool SaveZaml { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | This is true if the conversion output is saved to the |
Remarks
The ZAML
is simply a G-Zip compressed XAML
format, similar to the SVGZ
.
SvgDocument
Gets the current SVG
Document created by this converter.
Declaration
public SvgDocument SvgDocument { get; }
Property Value
| Type | Description |
|---|---|
| SvgDocument | An instance of SvgDocument specifying the SVG DOM currently opened by the converter;
or null if no |
SvgWindow
Gets the SVG
Window object created by this converter.
Declaration
public WpfSvgWindow SvgWindow { get; }
Property Value
| Type | Description |
|---|---|
| WpfSvgWindow | An instance of WpfSvgWindow specifying the |
UseFrameXamlWriter
Gets or sets a value indicating whether to use the .NET framework version of the XAML writer.
Declaration
public bool UseFrameXamlWriter { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | This is true if the .NET framework version of the |
Remarks
The customized XAML
writer is optimized for the conversion process, and it is recommended as the writer,
unless in cases where it fails to produce accurate result.
Methods
BeginProcessing(WpfDrawingDocument)
Declaration
protected virtual void BeginProcessing(WpfDrawingDocument drawingDocument = null)
Parameters
| Type | Name | Description |
|---|---|---|
| WpfDrawingDocument | drawingDocument |
Dispose()
This releases all resources used by the SvgConverter object.
Declaration
public void Dispose()
Dispose(Boolean)
This releases the unmanaged resources used by the SvgConverter and optionally releases the managed resources.
Declaration
protected virtual void Dispose(bool disposing)
Parameters
| Type | Name | Description |
|---|---|---|
| Boolean | disposing | This is true if managed resources should be disposed; otherwise, false. |
EndProcessing()
Declaration
protected virtual void EndProcessing()
Finalize()
This allows a converter to attempt to free resources and perform other cleanup operations before the converter is reclaimed by garbage collection.
Declaration
protected void Finalize()
GetBitmapEncoder(ImageEncoderType)
Declaration
protected static BitmapEncoder GetBitmapEncoder(ImageEncoderType encoderType)
Parameters
| Type | Name | Description |
|---|---|---|
| ImageEncoderType | encoderType |
Returns
| Type | Description |
|---|---|
| BitmapEncoder |
GetImageFileExtention(ImageEncoderType)
Declaration
protected static string GetImageFileExtention(ImageEncoderType encoderType)
Parameters
| Type | Name | Description |
|---|---|---|
| ImageEncoderType | encoderType |
Returns
| Type | Description |
|---|---|
| String |


SASS Colour Function Calculator
A tool for calculating the SASS colour function required to get from one colour to another.
Original Colour
Target Colour


|
gtsam
4.1.0
gtsam
|
A Gaussian factor in the squared-error form.
JacobianFactor implements a Gaussian, which has quadratic negative log-likelihood
\[ E(x) = \frac{1}{2} (Ax-b)^T \Sigma^{-1} (Ax-b) \]
where \( \Sigma \) is a diagonal covariance matrix. The matrix \( A \), r.h.s. vector \( b \), and diagonal noise model \( \Sigma \) are stored in this class.
This factor represents the sum-of-squares error of a linear measurement function, and is created upon linearization of a NoiseModelFactor, which in turn is a sum-of-squares factor with a nonlinear measurement function.
Here is an example of how this factor represents a sum-of-squares error:
Letting \( h(x) \) be a linear measurement prediction function, \( z \) be the actual observed measurement, the residual is
\[ f(x) = h(x) - z . \]
If we expect noise with diagonal covariance matrix \( \Sigma \) on this measurement, then the negative log-likelihood of the Gaussian induced by this measurement model is
\[ E(x) = \frac{1}{2} (h(x) - z)^T \Sigma^{-1} (h(x) - z) . \]
Because \( h(x) \) is linear, we can write it as
\[ h(x) = Ax + e \]
and thus we have
\[ E(x) = \frac{1}{2} (Ax-b)^T \Sigma^{-1} (Ax-b) \]
where \( b = z - e \).
This factor can involve an arbitrary number of variables, and in the above example \( x \) would almost always be only be a subset of the variables in the entire factor graph. There are special constructors for 1-, 2-, and 3- way JacobianFactors, and additional constructors for creating n-way JacobianFactors. The Jacobian matrix \( A \) is passed to these constructors in blocks, for example, for a 2-way factor, the constructor would accept \( A1 \) and \( A2 \), as well as the variable indices \( j1 \) and \( j2 \) and the negative log-likelihood represented by this factor would be
\[ E(x) = \frac{1}{2} (A_1 x_{j1} + A_2 x_{j2} - b)^T \Sigma^{-1} (A_1 x_{j1} + A_2 x_{j2} - b) . \]
Public Member Functions | |
| JacobianFactor (const GaussianFactor &gf) | |
| Convert from other GaussianFactor. | |
| JacobianFactor (const JacobianFactor &jf) | |
| Copy constructor. | |
| JacobianFactor (const HessianFactor &hf) | |
| Conversion from HessianFactor (does Cholesky to obtain Jacobian matrix) | |
| JacobianFactor () | |
| default constructor for I/O | |
| JacobianFactor (const Vector &b_in) | |
| Construct Null factor. | |
| JacobianFactor (Key i1, const Matrix &A1, const Vector &b, const SharedDiagonal &model=SharedDiagonal()) | |
| Construct unary factor. | |
| JacobianFactor (Key i1, const Matrix &A1, Key i2, const Matrix &A2, const Vector &b, const SharedDiagonal &model=SharedDiagonal()) | |
| Construct binary factor. | |
| JacobianFactor (Key i1, const Matrix &A1, Key i2, const Matrix &A2, Key i3, const Matrix &A3, const Vector &b, const SharedDiagonal &model=SharedDiagonal()) | |
| Construct ternary factor. | |
| template<typename TERMS > | |
| JacobianFactor (const TERMS &terms, const Vector &b, const SharedDiagonal &model=SharedDiagonal()) | |
| Construct an n-ary factor. More... | |
| template<typename KEYS > | |
| JacobianFactor (const KEYS &keys, const VerticalBlockMatrix &augmentedMatrix, const SharedDiagonal &sigmas=SharedDiagonal()) | |
| Constructor with arbitrary number keys, and where the augmented matrix is given all together instead of in block terms. More... | |
| JacobianFactor (const GaussianFactorGraph &graph) | |
| Build a dense joint factor from all the factors in a factor graph. More... | |
| JacobianFactor (const GaussianFactorGraph &graph, const VariableSlots &p_variableSlots) | |
| Build a dense joint factor from all the factors in a factor graph. More... | |
| JacobianFactor (const GaussianFactorGraph &graph, const Ordering &ordering) | |
| Build a dense joint factor from all the factors in a factor graph. More... | |
| JacobianFactor (const GaussianFactorGraph &graph, const Ordering &ordering, const VariableSlots &p_variableSlots) | |
| Build a dense joint factor from all the factors in a factor graph. More... | |
| virtual | ~JacobianFactor () |
| Virtual destructor. | |
| GaussianFactor::shared_ptr | clone () const override |
| Clone this JacobianFactor. | |
| void | print (const std::string &s="", const KeyFormatter &formatter=DefaultKeyFormatter) const override |
| bool | equals (const GaussianFactor &lf, double tol=1e-9) const override |
| Equals for testable. | |
| Vector | unweighted_error (const VectorValues &c) const |
| Vector | error_vector (const VectorValues &c) const |
| (A*x-b) | |
| double | error (const VectorValues &c) const override |
| (A*x-b)/sigma | |
| Matrix | augmentedInformation () const override |
| 0.5*(A*x-b)'D(A*x-b) More... | |
| Matrix | information () const override |
| Return the non-augmented information matrix represented by this GaussianFactor. | |
| void | hessianDiagonalAdd (VectorValues &d) const override |
| Add the current diagonal to a VectorValues instance. | |
| void | hessianDiagonal (double *d) const override |
| Raw memory access version of hessianDiagonal. | |
| std::map< Key, Matrix > | hessianBlockDiagonal () const override |
| Return the block diagonal of the Hessian for this factor. | |
| std::pair< Matrix, Vector > | jacobian () const override |
| Returns (dense) A,b pair associated with factor, bakes in the weights. | |
| std::pair< Matrix, Vector > | jacobianUnweighted () const |
| Returns (dense) A,b pair associated with factor, does not bake in weights. | |
| Matrix | augmentedJacobian () const override |
| Return (dense) matrix associated with factor. More... | |
| Matrix | augmentedJacobianUnweighted () const |
| Return (dense) matrix associated with factor. More... | |
| const VerticalBlockMatrix & | matrixObject () const |
| Return the full augmented Jacobian matrix of this factor as a VerticalBlockMatrix object. | |
| VerticalBlockMatrix & | matrixObject () |
| Mutable access to the full augmented Jacobian matrix of this factor as a VerticalBlockMatrix object. | |
| GaussianFactor::shared_ptr | negate () const override |
| Construct the corresponding anti-factor to negate information stored stored in this factor. More... | |
| bool | empty () const override |
| Check if the factor is empty. More... | |
| bool | isConstrained () const |
| is noise model constrained ? | |
| DenseIndex | getDim (const_iterator variable) const override |
| Return the dimension of the variable pointed to by the given key iterator todo: Remove this in favor of keeping track of dimensions with variables? | |
| size_t | rows () const |
| return the number of rows in the corresponding linear system | |
| size_t | cols () const |
| return the number of columns in the corresponding linear system | |
| const SharedDiagonal & | get_model () const |
| get a copy of model | |
| SharedDiagonal & | get_model () |
| get a copy of model (non-const version) | |
| const constBVector | getb () const |
| Get a view of the r.h.s. More... | |
| constABlock | getA (const_iterator variable) const |
| Get a view of the A matrix for the variable pointed to by the given key iterator. | |
| constABlock | getA () const |
| Get a view of the A matrix, not weighted by noise. | |
| BVector | getb () |
| Get a view of the r.h.s. More... | |
| ABlock | getA (iterator variable) |
| Get a view of the A matrix for the variable pointed to by the given key iterator (non-const version) | |
| ABlock | getA () |
| Get a view of the A matrix. | |
| void | updateHessian (const KeyVector &keys, SymmetricBlockMatrix *info) const override |
| Update an information matrix by adding the information corresponding to this factor (used internally during elimination). More... | |
| Vector | operator* (const VectorValues &x) const |
| Return A*x. | |
| void | transposeMultiplyAdd (double alpha, const Vector &e, VectorValues &x) const |
| x += alpha * A'*e. More... | |
| void | multiplyHessianAdd (double alpha, const VectorValues &x, VectorValues &y) const override |
| y += alpha * A'*A*x | |
| void | multiplyHessianAdd (double alpha, const double *x, double *y, const std::vector< size_t > &accumulatedDims) const |
| Raw memory access version of multiplyHessianAdd y += alpha * A'*A*x Requires the vector accumulatedDims to tell the dimension of each variable: e.g. More... | |
| VectorValues | gradientAtZero () const override |
| A'*b for Jacobian. | |
| void | gradientAtZero (double *d) const override |
| A'*b for Jacobian (raw memory version) | |
| Vector | gradient (Key key, const VectorValues &x) const override |
| Compute the gradient wrt a key at any values. | |
| JacobianFactor | whiten () const |
| Return a whitened version of the factor, i.e. More... | |
| std::pair< boost::shared_ptr< GaussianConditional >, shared_ptr > | eliminate (const Ordering &keys) |
| Eliminate the requested variables. | |
| void | setModel (bool anyConstrained, const Vector &sigmas) |
| set noiseModel correctly | |
| boost::shared_ptr< GaussianConditional > | splitConditional (size_t nrFrontals) |
| splits a pre-factorized factor into a conditional, and changes the current factor to be the remaining component. More... | |
| Public Member Functions inherited from gtsam::GaussianFactor | |
| GaussianFactor () | |
| Default constructor creates empty factor. | |
| template<typename CONTAINER > | |
| GaussianFactor (const CONTAINER &keys) | |
| Construct from container of keys. More... | |
| virtual | ~GaussianFactor () |
| Destructor. | |
| VectorValues | hessianDiagonal () const |
| Return the diagonal of the Hessian for this factor. | |
| Public Member Functions inherited from gtsam::Factor | |
| Key | front () const |
| First key. | |
| Key | back () const |
| Last key. | |
| const_iterator | find (Key key) const |
| find | |
| const KeyVector & | keys () const |
| Access the factor's involved variable keys. | |
| const_iterator | begin () const |
| Iterator at beginning of involved variable keys. | |
| const_iterator | end () const |
| Iterator at end of involved variable keys. | |
| size_t | size () const |
| void | print (const std::string &s="Factor", const KeyFormatter &formatter=DefaultKeyFormatter) const |
| print | |
| void | printKeys (const std::string &s="Factor", const KeyFormatter &formatter=DefaultKeyFormatter) const |
| print only keys | |
| KeyVector & | keys () |
| iterator | begin () |
| Iterator at beginning of involved variable keys. | |
| iterator | end () |
| Iterator at end of involved variable keys. | |
Public Types | |
| typedef JacobianFactor | This |
| Typedef to this class. | |
| typedef GaussianFactor | Base |
| Typedef to base class. | |
| typedef boost::shared_ptr< This > | shared_ptr |
| shared_ptr to this class | |
| typedef VerticalBlockMatrix::Block | ABlock |
| typedef VerticalBlockMatrix::constBlock | constABlock |
| typedef ABlock::ColXpr | BVector |
| typedef constABlock::ConstColXpr | constBVector |
| Public Types inherited from gtsam::GaussianFactor | |
| typedef GaussianFactor | This |
| This class. | |
| typedef boost::shared_ptr< This > | shared_ptr |
| shared_ptr to this class | |
| typedef Factor | Base |
| Our base class. | |
| Public Types inherited from gtsam::Factor | |
| typedef KeyVector::iterator | iterator |
| Iterator over keys. | |
| typedef KeyVector::const_iterator | const_iterator |
| Const iterator over keys. | |
Protected Member Functions | |
| template<typename TERMS > | |
| void | fillTerms (const TERMS &terms, const Vector &b, const SharedDiagonal &noiseModel) |
| Internal function to fill blocks and set dimensions. | |
| Protected Member Functions inherited from gtsam::Factor | |
| Factor () | |
| Default constructor for I/O. | |
| template<typename CONTAINER > | |
| Factor (const CONTAINER &keys) | |
| Construct factor from container of keys. More... | |
| template<typename ITERATOR > | |
| Factor (ITERATOR first, ITERATOR last) | |
| Construct factor from iterator keys. More... | |
| bool | equals (const This &other, double tol=1e-9) const |
| check equality | |
Protected Attributes | |
| VerticalBlockMatrix | Ab_ |
| noiseModel::Diagonal::shared_ptr | model_ |
| Protected Attributes inherited from gtsam::Factor | |
| KeyVector | keys_ |
| The keys involved in this factor. | |
Friends | |
| template<typename T > | |
| class | ExpressionFactor |
| class | boost::serialization::access |
| Serialization function. | |
| GTSAM_EXPORT std::pair< boost::shared_ptr< GaussianConditional >, shared_ptr > | EliminateQR (const GaussianFactorGraph &factors, const Ordering &keys) |
| Multiply all factors and eliminate the given keys from the resulting factor using a QR variant that handles constraints (zero sigmas). More... | |
Additional Inherited Members | |
| Static Public Member Functions inherited from gtsam::GaussianFactor | |
| template<typename CONTAINER > | |
| static DenseIndex | Slot (const CONTAINER &keys, Key key) |
| Static Protected Member Functions inherited from gtsam::Factor | |
| template<typename CONTAINER > | |
| static Factor | FromKeys (const CONTAINER &keys) |
| Construct factor from container of keys. More... | |
| template<typename ITERATOR > | |
| static Factor | FromIterators (ITERATOR first, ITERATOR last) |
| Construct factor from iterator keys. More... | |
| gtsam::JacobianFactor::JacobianFactor | ( | const TERMS & | terms, |
| const Vector & | b, | ||
| const SharedDiagonal & | model = SharedDiagonal() |
||
| ) |
Construct an n-ary factor.
| TERMS | A container whose value type is std::pair<Key, Matrix>, specifying the collection of keys and matrices making up the factor. |
| gtsam::JacobianFactor::JacobianFactor | ( | const KEYS & | keys, |
| const VerticalBlockMatrix & | augmentedMatrix, | ||
| const SharedDiagonal & | sigmas = SharedDiagonal() |
||
| ) |
Constructor with arbitrary number keys, and where the augmented matrix is given all together instead of in block terms.
Note that only the active view of the provided augmented matrix is used, and that the matrix data is copied into a newly-allocated matrix in the constructed factor.
|
explicit |
Build a dense joint factor from all the factors in a factor graph.
If a VariableSlots structure computed for graph
is already available, providing it will reduce the amount of computation performed.
|
explicit |
Build a dense joint factor from all the factors in a factor graph.
If a VariableSlots structure computed for graph
is already available, providing it will reduce the amount of computation performed.
|
explicit |
Build a dense joint factor from all the factors in a factor graph.
If a VariableSlots structure computed for graph
is already available, providing it will reduce the amount of computation performed.
|
explicit |
Build a dense joint factor from all the factors in a factor graph.
If a VariableSlots structure computed for graph
is already available, providing it will reduce the amount of computation performed.
|
overridevirtual |
0.5*(A*x-b)'D(A*x-b)
Return the augmented information matrix represented by this GaussianFactor. The augmented information matrix contains the information matrix with an additional column holding the information vector, and an additional row holding the transpose of the information vector. The lower-right entry contains the constant error term (when \( \delta x = 0 \)). The augmented information matrix is described in more detail in HessianFactor, which in fact stores an augmented information matrix.
Implements gtsam::GaussianFactor.
|
overridevirtual |
Return (dense) matrix associated with factor.
The returned system is an augmented matrix: [A b] weights are baked in
Implements gtsam::GaussianFactor.
| Matrix gtsam::JacobianFactor::augmentedJacobianUnweighted | ( | ) | const |
Return (dense) matrix associated with factor.
The returned system is an augmented matrix: [A b] weights are not baked in
|
inlineoverridevirtual |
|
inline |
Get a view of the r.h.s.
vector b (non-const version)
|
inline |
Get a view of the r.h.s.
vector b, not weighted by noise
| void gtsam::JacobianFactor::multiplyHessianAdd | ( | double | alpha, |
| const double * | x, | ||
| double * | y, | ||
| const std::vector< size_t > & | accumulatedDims | ||
| ) | const |
Raw memory access version of multiplyHessianAdd y += alpha * A'*A*x Requires the vector accumulatedDims to tell the dimension of each variable: e.g.
Raw memory access version of multiplyHessianAdd y += alpha * A'*A*x Note: this is not assuming a fixed dimension for the variables, but requires the vector accumulatedDims to tell the dimension of each variable: e.g.
: x0 has dim 3, x2 has dim 6, x3 has dim 2, then accumulatedDims is [0 3 9 11 13] NOTE: size of accumulatedDims is size of keys + 1!! TODO(frank): we should probably kill this if no longer needed
: x0 has dim 3, x2 has dim 6, x3 has dim 2, then accumulatedDims is [0 3 9 11 13] NOTE: size of accumulatedDims is size of keys + 1!! TODO Frank asks: why is this here if not regular ????
Use Eigen magic to access raw memory
Just iterate over all A matrices and multiply in correct config part (looping over keys) E.g.: Jacobian A = [A0 A1 A2] multiplies x = [x0 x1 x2]' Hence: Ax = A0 x0 + A1 x1 + A2 x2 (hence we loop over the keys and accumulate)
Deal with noise properly, need to Double* whiten as we are dividing by variance
multiply with alpha
Again iterate over all A matrices and insert Ai^T into y
|
overridevirtual |
Construct the corresponding anti-factor to negate information stored stored in this factor.
Implements gtsam::GaussianFactor.
| GaussianConditional::shared_ptr gtsam::JacobianFactor::splitConditional | ( | size_t | nrFrontals | ) |
splits a pre-factorized factor into a conditional, and changes the current factor to be the remaining component.
Performs same operation as eliminate(), but without running QR. NOTE: looks at dimension of noise model to determine how many rows to keep.
| nrFrontals | number of keys to eliminate |
| void gtsam::JacobianFactor::transposeMultiplyAdd | ( | double | alpha, |
| const Vector & | e, | ||
| VectorValues & | x | ||
| ) | const |
x += alpha * A'*e.
If x is initially missing any values, they are created and assumed to start as zero vectors.
|
overridevirtual |
Update an information matrix by adding the information corresponding to this factor (used internally during elimination).
| scatter | A mapping from variable index to slot index in this HessianFactor |
| info | The information matrix to be updated |
Implements gtsam::GaussianFactor.
| JacobianFactor gtsam::JacobianFactor::whiten | ( | ) | const |
Return a whitened version of the factor, i.e.
with unit diagonal noise model.
|
friend |
Multiply all factors and eliminate the given keys from the resulting factor using a QR variant that handles constraints (zero sigmas).
Computation happens in noiseModel::Gaussian::QR Returns a conditional on those keys, and a new factor on the separator.


Welcome to Bethany's pie shop
From pecan to plum, our pies are made in with the warmth and traditional skills of Bethany. Take a moment to browse our pies and see which of our delectable desserts are soon to arrive at your doorstep.
From pecan to plum, our pies are made in with the warmth and traditional skills of Bethany. Take a moment to browse our pies and see which of our delectable desserts are soon to arrive at your doorstep.


feature request
-
adamrice
Yes, I want a pony.
I've been using Synergy since, well, a long time. And over that time, the way I'm inclined to use it has changed. Some of the stuff I'd like to see is not currently implemented, but probably could be without too much grief.
I like to have the floater always-on (which it can do now), except: 1) I'd prefer that it be at the desktop layer, rather than floating over everything, and 2) have it auto-hide when iTunes is paused for more than a few seconds. IMO, this makes more sense for "ambient" always-on information displays.
I'd also like the album art display to be a little bigger. I suppose ideally that would be something that can be set by the user.
-
Greg Hurrell
(1) Floater on the desktop
This was implemented in version 1.3 (September 2004):
Quote: [Feature] New "power user" feature (accessible from command-line), display floater on desktop. To activate, enter "defaults write org.wincent.Synergy desktopFloater -bool true" in the Terminal and restart Synergy. To deactivate, enter "defaults write org.wincent.Synergy desktopFloater -bool false".
Due to lack of space in the preferences user interface I made this a command-line only customization. It's not surprising that you didn't know about it.
(2) Always on with auto-hide if iTunes paused/stopped
Thanks for the feature request. I've made an entry for it in the feature-requests database:
https://wincent.com/a/support/bugs/show_bug.cgi?id=416
(3) Bigger album art display
There is already a feature request that's similar to this:
https://wincent.com/a/support/bugs/show_bug.cgi?id=47
But I've also made a new one that specifically describes what you're asking for:
-
adamrice
Thanks for the follow-up, and for putting my requests in the database where they belong. I've made the desktop-layer change and am enjoying it already.
-
RHeff
Can you create a way to add that to the Key Commands. Instead of going up to the Menubar you could just key command and it would add. That would be nice.
-
Greg Hurrell
Quote: Can you create a way to add that to the Key Commands. Instead of going up to the Menubar you could just key command and it would add. That would be nice.
To add what command to the hot keys? See also:
Reply
This topic is now closed.


Click and drag to create elements. Go ahead, try it.
Type different letters to use different elements.
Hold down shift to make a "generator" that constantly spawns new elements.
Use the number keys to change the size of the "pen". 0 resets to default.
Use the arrow keys to move the little red guy and press space to shoot.
Bullets are specialized to explode with elements
You can click on links too. As long as they aren't covered by blocks
- a - sand
- b - bark
- c - cloud
- d - droplet
- e - eraser
- f - fire
- g - growth
- h - shrub
- i - ice
- l - lightning
- m - smoke
- n - nut
- o - soil
- p - plague
- s - steam
- t - sticky
- v - lava
- w - wall
- x - explosive
- z - liquid explosive
This is text to fill up space so that the page is scrollable


Calculate optical flow using cross-correlation. Calculate optical flow using correlation, followed by lucas & kanade on aligned squares for subpixel accuracy. Locally, the closest patch within some search radius is found. The distance measure used is the euclidean distance between patches -- NOT normalized correlation since we assume pixel brightness constancy. Once the closest matching patch is found, the alignment between the two patches is further refined using lucas & kanade to find the subpixel translation vector relating the two patches. This code has been refined for speed, but since it is nonvectorized code it can be fairly slow. Running time is linear in the number of pixels but the constant is fairly large. Test on small image (150x150) before running on anything bigger. USAGE [Vx,Vy,reliab] = optFlowCorr( I1, I2, patchR, searchR, [sigma], [thr], [show] ) INPUTS I1, I2 - input images to calculate flow between patchR - determines correlation patch size around each pixel searchR - search radius for corresponding patch sigma - [1] amount to smooth by (may be 0) thr - [.001] RELATIVE reliability threshold show - [0] figure to use for display (no display if == 0) OUTPUTS Vx, Vy - x,y components of flow [Vx>0->right, Vy>0->down] reliab - reliability of optical flow in given window (cornerness of window) EXAMPLE See also OPTFLOWHORN, OPTFLOWLK Piotr's Image&Video Toolbox Version 2.0 Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] Please email me if you find bugs, or have suggestions or questions! Licensed under the Lesser GPL [see external/lgpl.txt]


A useful port on the Atlantic coast of Morocco, being just 220 NM from the Canaries. This is a reasonable stopping place with good provisioning in town and officials are reported to be friendly and efficient. Prices are very reasonable.
It is a good place from which to visit Marrakech and southern Morocco.
Position 30° 25.11'N,09° 36.59' W.
Entry procedures here can take time, in particular clearing out. Customs, Immigration and police are officially on duty 24 hours at the marina, however cruisers have reported that in fact some of the authorities only work during daylight hours, and opening times be "flexible".
It's likely the authorities will come on board as soon you are are berthed (although note that Customs don't work on Saturdays and Sundays). They are friendly, efficient and require no more paperwork than elsewhere on the Moroccan coast.
Papers must be originals and not copies.
The return of stamped passports can cause a delay as the stamp is kept in the main port.
On departure, you will not be permitted to clear out the night before and depart at first light, you will have to wait until the offices open in the morning.
Note: Movement in this port is restricted. If you wish to go for a day-sail and anchor elsewhere, you will need to clear out, and clear back in again on return.
Last updated January 2016.
The entrance to the marina is rather "hidden" and is towards the bathing beach, NOT through the main harbour. Finding the entrance is difficult at night until you are adjacent and it opens up.
There is reported to be plenty of space in the marina.
Alternatively, boats can anchor off the yacht club in the NE of the Grand Bassin, which welcomes visitors. The dinghy can be left at the yacht club pontoon. Water can be obtained at the same dock, which has sufficient depth at high tide. Unfortunately, the harbour tends to be very dirty and polluted.
Last updated November 2015.


--- date: 2015-02-04 13:00:03 author: Jen Gray title: "PhoneGap Day US 2014: GapDebug Tooling by Genuitec" format: html tags: - PhoneGap Day - Event - Community ---
A big thanks to everyone who was able to make it to PhoneGap Day US. We'll be posting more videos from the conference so check back on our blog or Youtube channel.
Our next session comes from Wayne Parrott, Genuitec.
Introducing GapDebug. How to overcome the 40%-60% of app development cost of debugging and performance tuning activities.


I just collect request parameters and the responses by this bot, for more informations find me at
Fortas Abdeldjalil (Fcmam5)


To provid the event oragnizer for everyone
At Corporate Event Planner we come to work everyday because we love solving the biggest problem for business owners. Sometimes people don’t know what apps to build, how to monetize them, or even what to price them at. Advertisers & brands don’t know where their target users are, how to reach them, or even how much they need to spend in order to do so. Investors aren’t sure which apps and genres are growing the quickest, and where users are really spending their time (and money). Throughout history everyone has used data to help them make more informed decisions.
Jeremiah is the project manager and the pillar of the group. Making sure every decision is analyzed and precise to ensure we succeed to the highest capacity.
Jabril drives Corp Event Planner strategic vision and manages relations with our machine learning team.
Eric is one half of our leads in technology at Corp Event Planner, including product development.
Carl leads our engineering team with Eric and is responsible for Corp Event Planner underlying technology.
Kevin is second lead in UI at Corp Event Planner. His drive & consistency ensure Corp Event Planner work effortlessly.
Jesus leads UI at Corp Event Planner. His passion & will help ensure Corp Event Planner provides the most powerful, flexible, and hands-on experience to all of our customers.


Remote
Goodies
Channels
Settings
About
Send
Launch Shoutcast Channel
Station Name:
Station URL:
Launch Shoutcast
Macros
Developer Screen
Channel Version Info
Bit Rate Override Screen
Dump Core
Launch Remoku Channel
Add launch parameter
=
Add
Control This Roku
Find My Roku
My Network:
.
.
. X
How Many Rokus?
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Scan
Manual Add:
+
Remove this:
-
Apps
First
Install Remoku Channel
Then
Launch Remoku Channel
Then
Load Channel List
Remoku Info
Help
Wipe Settings
Downstairs
<IP_ADDRESS>
Office
<IP_ADDRESS>
Bedroom
<IP_ADDRESS>
This looks like the first time you've used Remoku.
To begin, click the settings icon above and enter your network details.
If you are not sure what to do, try just clicking the scan button and look for
help
under the About icon.


| Property |
Description |
Data Type |
Required/Optional |
| cimac_aliquot_id |
Aliquot identifier assigned by the CIMAC-CIDC Network. Example: CIMAC-12453.
|
<string>
|
required
|
| quantity |
Quantity of each sample shipped.
|
<integer>
|
optional
|
| volume_quantity |
Volume of sample shipped.
|
<number>
|
optional
|
| pbmc_aliquoted |
Site or biobank provides the final number of PBMCs per vial that were frozen.
|
<number>
|
optional
|
| pbmc_recovered |
Receiving site determines number fo PBMCs per vial recovered upon receipt.
|
<number>
|
optional
|
| material_used |
Receiving site indicates how much material was used for assay purposes.
|
<number>
|
optional
|
| material_remaining |
Receiving site indicates how much material remains after assay use.
|
<number>
|
optional
|
| sample_source |
Indicates the specimen source of the sample shipped. Example: Na Heparin blood draw aliquots (2 of three), FFPE block #52
|
<string>
|
optional
|
| sample_quality_status |
Final status of sample after QC and pathology review.
|
<string>
- Usable for Assay
- Not Usable for Assay
- Verifying
- Other
|
optional
|
| sample_replacement |
Status of sample if replacement is/was requested.
|
<string>
- Replacement Requested
- Replacement Tested
- N/A
|
optional
|
| sample_status |
Status of sample used for other assay, exhausted, destroyed, or returned.
|
<string>
- Sample Returned
- Sample Exhausted
- Remainder used for other Assay
- Other
- Sample Leftover
|
optional
|
| material_extracted |
The type of biological material that was extracted from this sample.
|
<string>
|
optional
|
| extracted_concentration |
The concentration of biological material that was extracted from this sample.
|
<string>
|
optional
|
| units |
The unit of biological material from this sample.
|
<string>
- µL
- mL
- mg
- ng
- Vials
- Slides
- Scrolls
- Blocks
- ng/µL
- cells/ml
- N/A
- Other
|
optional
|
| sample_amount |
The amount of extracted sample shipped. Example: 400 ng
|
<string>
|
optional
|
| lymphocyte_influx |
Extent of lymphocytic infiltration into the tumor stroma or surrounding environment. Example: 2
|
<string>
|
optional
|
| viable_stroma_percent_area |
Percent area of viable tissue . Example: 10
|
<string>
|
optional
|
| viable_tumor_percent_area |
Percent area that contains viable tumor cells . Example: 60
|
<number>
|
optional
|
| necrosis_percent_area |
Percent area of necrotic tissue . Example: 5
|
<number>
|
optional
|
| fibrosis_percent_area |
Percent area of fibrotic area. Example: 15
|
<number>
|
optional
|
| assay |
|
assays.components.aliquot_to_assay
|
optional
|


y = gauss(mu, covar, x)
y = gauss(mu, covar, x)
evaluates a multi-variate Gaussian
density in d
-dimensions at a set of points given by the rows
of the matrix x
. The Gaussian density has mean vector mu
and covariance matrix covar
.
gsamp
, demgauss
Copyright (c) Ian T Nabney (1996-9)


sloth scratch
because sloths spend a lot of time scratching their damp, moldy, and bug infested fur.
Add Command
Add Command


j-progress-bar
A lightweight javascript library for simple progress bar
Things to load
css<link rel="stylesheet" type="text/css" href="css/j-progress-bar.css">
script
<script type="text/javascript" src="js/j-progress-bar.min.js"></script>
Static Progress Bar
In static progress bar, the loading percentage is always full, i.e. 100%.
To create a static progress bar...
var pb_static = $jpb.createProgressBar('static', 300);
The variable pb_static holds an object of new progress bar.
1st parameter 'static' sets the progress bar as static
2nd parameter '300' sets the width of the progress bar to 300px
Now append the progress bar to the element you want.
document.getElementById('staticProgressBarHolder').appendChild(pb_static.elem);
To start the animation of the progress bar...
pb_static.pb.startAnimation();
To stop the animation of the progress bar...
pb_static.pb.stopAnimation();
Dynamic Progress Bar
In dynamic progress bar, the loading percentage can change from 0% to 100%. Initially, dynamic progress bar is set to 0%.
To create a dynamic progress bar...
var pb_dynamic = $jpb.createProgressBar('dynamic', 300);
The variable pb_dynamic holds an object of new progress bar.
1st parameter 'dynamic' sets the progress bar as dynamic
2nd parameter '300' sets the width of the progress bar to 300px
Now append the progress bar to the element you want.
document.getElementById('dynamicProgressBarHolder').appendChild(pb_dynamic.elem);
To start the animation of the progress bar...
pb_dynamic.pb.startAnimation();
To stop the animation of the progress bar...
pb_dynamic.pb.stopAnimation();
To stop the percentage of progress bar...
pb_dynamic.pb.percentage(30);
Replace the value 30 with your required percentage.
Note
You can change the css to meet the need of your design.


Rosé (로제)is a Korean-Australian singer and dancer.
Early life
Rosé revealed that she was born in Auckland, New Zealand, but was raised in Melbourne and Box Hill, Australia. Her father believed in her talent and flew her to another area just to audition for YG. She ended up winning first place.


Welcome to my About Me Page!
My name is William Garrett Johnson!
- I currently live on Bainbridge Island
- I used to live in Bellingham!
- In fact I love seafood so much I almost always grab a cup of clam chowder from Ivar's!
- My back kinda hurts
- I have a cat named Nova and she is fantastic
- I love my cat
- I'm planning on eventually making a website for my girlfriend for her birthday coming up here
- I'm excited to present it to her even though it hasn't been made, not to mention my CSS and HTML skills are subpar


Bitdeli JS Tracking library test
Outbound link 1
Outbound link 2
Outbound link 3
Submit form
Your browser fingerprint:


I recently moved to San Diego and am fixated on hearing hummingbird calls. On my bike to work. On walks to the beach. En route to the grocery store. I hear them everywhere and I'm obsessed with these magical creatures. Their small size, boldness, speedy dives and displays, shimmering feathers, the sound of their wings — their whole gestault speaks to my soul. I want to get to know them and to see them upclose so I've started to photograph them.
Here is my journal of what I've done and learned each day.


{% extends 'layout.html' %} {% block title %}Payment with Offline Payment{% endblock %} {% block layout %}
For electronic transfer, use the following account details:
Bank: {{etrans_details.bank}}
Branch: {{etrans_details.bank_branch}}
Bank NEFT Code: {{etrans_details.bank_neft}}
A/C Holder's Name: {{etrans_details.ac_name}}
A/C Number: {{etrans_details.ac_number}}
A/C Type: {{etrans_details.ac_type}}
{% else%}
Cheques/demand drafts/money orders should be made out to:
{{store.official_name}}
and sent to the following address:
{{store.name}}


WITNESS LIST Electric Utility Restructuring (Interim) Committee December 12, 1997-10:00A Electric Utility Restructuring For: Harwell, Joann (self), Vega Martin, Jesse (self), Lubbock Patterson, Brenda (self), Lubbock Raymond, Johnny (Elderly - Low Income), Amarillo Spears, Clayton (self), Amarillo Stauffacher, John (NGC Corp), Houston Against: Wales, Lois (self), Dimmitt White, Clayton (IBEW), Fannin On: Caudle, Robert (Lea County Electric), Midland Christian, Vick (Farmers), Farwell Cooke, Ty (TX Public Power Assn.), Lubbock Goodrich, Robert (self), Amarillo Griffith, Matt (Panhandle Builders Asn.), Bell Miller, T.J. (City of Plains - TPPA), Plains Nelson, Vaughn (Coordination Council), Canyon Nixon, Benny (SPEC), Lubbock Registering, but not testifying: On: King, Robert (Energy Service Co.), Austin Little, Robert (self), Dallas Smith, Tom "Smitty" (Public Citizen/Members), Austin Market Power & Structure of Retail For: Reilley, Bob (Enron Corporation), Houston Schaeffer, Steve (AECT), Houston On: Bryant, Robert (Golden Spread Electric), Amarillo Kroger, Stephanie (Competitive Electricity), Austin McClellan, Suzi (OPUC), Austin Walsh, Judy (PUC), Austin Transmission & Metering On: Baker, Tom (AECT), Dallas Belk, Brady (LCRA), Austin Collins, Jim (LG&E Energy Marketing), Dallas King, Chris (CellNet Data Systems), San Carlos Rosenberg, Arthur von (TX Public Power Assn.), San Antonio Wood, Pat (PUC), Austin


PAST OFFICERS OF THE MCC-OGS
From 1984 through May 1988, the MCC-OGS was a department of the Monroe County Historical Society.


- Technical
- Map in Ruby: Following Directions
Okay, so you're new to the Ruby programming language. You have visited StackOverflow and a bunch of solutions to various problems that employ this special method called map
followed by an intimidating piece of code surrounded by the evil braces of curl, {}
. What the $#*! is going on between those things?!
Have no fear, for I am here, to explain the proper way to use map, help is near (I don't usually speak in rhyme).
So what does this mappy thingy do?
The Ruby Enumerable map
method allows you to alter each individual item in your enumerable object. For the purpose of this post, we will assume that the enumerable object is always an array. The array can be an array of anything! In this particular case however, we are going to use an array of all the dogs that we walk on a weekly basis.
dogs_i_walk = ["charlie", "bernard", "willie", "meatball", "jimbo"]
Well, thats great! But, we didn't capitalize the names of the dogs. How very unprofessional of us...There are 2 ways we could correct this problem: We could use an each block and iterate through each dog name capitalizing the name, and then set that value to the specific array index, blah, blah, blah; or we could just use map
. We can accomplish the same thing if we use the map
method and pass it a block using the capitalize
method on each dog name. It sounds complicated, but it's not, just take a look below:
dogs_i_walk.map{ |dog| dog.capitalize }
=> ["Charlie", "Bernard", "Willie", "Meatball", "Jimbo"]
dogs_i_walk[0]
=> "charlie"
HOLD THE PHONE! CHARLIE WAS SUPPOSED TO BE CAPITALIZED!
You are absolutely correct. Charlie was supposed to be capitalized, but it wasn't. You're probably wondering what happened here, please let me explain. The map
method returns a new instance of an array, with the modified values. Consider the following block of code:
dogs_i_walk.object_id
=><PHONE_NUMBER>4560
dogs_i_walk.map{ |dog| dog.capitalize }.object_id
=><PHONE_NUMBER>8280
Do you see where the object_id
attributes vary from one array to the other? This is proof that the map
method returns a new instance of an array. You are probably wondering how you can persist those changes to the original array, dogs_i_walk
. Enter the new and improved, if not destructive, map!
. The !
character following the method name, designates a destructive method, one which saves any changes back to the original object. Follow along with the code below:
dogs_i_walk.object_id
=><PHONE_NUMBER>4560
dogs_i_walk.map!{ |dog| dog.capitalize }.object_id
=><PHONE_NUMBER>4560
dogs_i_walk[0]
=> "Charlie"
You can now see that the changes have been saved back in the original array, and the names will be capitalized until changed otherwise.
What about hashes? Do you not have love for them?
The map
method works similarly on hashes. Let's say we have a hash, or catalog, of the pricing of all different variety of coffees we sell. Yes, we are now in the coffee business...
coffee_prices = {
ethiopian: 14.32,
kenyan: 15.24,
guatemalan: 16.29,
colombian: 13.45
}
=> {:ethiopian=>14.32, :kenyan=>15.24, :guatemalan=>16.29, :colombian=>13.45}
Pretty straight forward so far. With the recent droughts around the world we just received a price increase from our supplier, 22.5% across the board. With your knowledge of the use of map, how could we go about this? Let's see:
coffee_prices.map{ |key, value| [key, (value *= 1.225).round(2)] }
=> [[:ethiopian, 17.54], [:kenyan, 18.67], [:guatemalan, 19.96], [:colombian, 16.48]]
What the...? That may look a little unexpected, but not really because earlier you learned that the map
function returns a new instance of an array with the modified values. The great news here, is that the array that we returned is formatted just right to easily create a new hash. See the snippet below:
new_coffee_prices = Hash[coffee_pricing.map{ |key, value| [key, (value *= 1.225).round(2)] }]
=> {:ethiopian=>17.54, :kenyan=>18.67, :guatemalan=>19.96, :colombian=>16.48}
Okay, so it's not the cleanest solution for updating a catalog of coffee prices, but it is an example of how to use the map method on a hash.
In closing
It never hurts to just play around in the irb console, which is basically a sandbox. My advice is trial and error: work on something, try to break it and then figure out why it broke. Happy mapping!


Lonely In Green: Tezos Sees 35% Weekly Spike Against Bitcoin (XTZ Price Analysis)
by Yaz SheikhTezos saw a sharp increase of 16.66% over the past week and it currently trades at $1.33. More impressively. the cryptocurrency is up by 35% against Bitcoin. Over the past month, XTZ managed to gain more than 70% and it’s the best-performing altcoin amid this rather bearish market.
Tezos is now ranked in the 14th position with a market cap of $903 million.
Looking at the XTZ/USD 1-day chart:
- Since our last analysis, Tezos fell below the 100-days EMA at $1.10 and continued to decrease to as low as $0.75 in October. However, after rebounding from $0.75 XTZ has surged impressively. In November, XTZ penetrated above the 200-days EMA and continued higher, breaking above the strong resistance at $1.27, to reach the current level of $1.33.
- From above: The nearest level of resistance lies at $1.40. Above this, resistance is located at $1.48 (1.272 Fib Extension), $1.56 (1.414 Fib Extension), and $1.68 (long term bearish .236 Fibonacci Retracement level).
- From below: The nearest level of support lies at $1.27. Between $1.08 and $1.00 lies strong support provided by the 100-days and 200-days EMA. Beneath $1.00, support is expected at $0.93.
- The trading volume has seen a significant rise during November 2019.
- The Stochastic RSI has recently produced a bullish crossover signal which shows that the bulls are increasing their momentum.
Looking at the XTZ/BTC 1-day chart:
- Against BTC, XTZ pulled back from the resistance at the 100-days EMA in September 2019 and decreased all the way down to support at 0.00008540 BTC where the market rebounded. What followed was a surge above resistance at 0.0001590 BTC and 0.0001830 BTC to reach the current level of 0.0001867 BTC.
- From above: The nearest level of resistance is at 0.0001940 BTC. Above this, resistance is found at 0.00020 BTC (bearish .618 Fib Retracement), 0.0002240 BTC (1.272 Fib Extension), and 0.000240 BTC (bearish .786 Fibonacci Retracement).
- From below: The nearest level of support lies at 0.0001830 BTC. Beneath this, support is located at 0.00017 BTC, 0.0001590 BTC, and 0.0001275 BTC (200-days EMA).
- The trading volume has also risen significantly during November 2019.
- The RSI is well above the 50 level to show that the bulls dominate the market momentum. However, the Stochastic RSI is nearing overbought conditions which could be a sign that this market may need a break before heading higher.
Click here to start trading on BitMEX exchange and receive 10% discount on fees for 6 months.
Disclaimer: Information found on CryptoPotato is those of writers quoted. It does not represent the opinions of CryptoPotato on whether to buy, sell, or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk. See Disclaimer for more information.
Cryptocurrency charts by TradingView.
Technical analysis tools by Coinigy.


- This example tests session roles.
- The session token is stored in a cookie.
- It works in the same way as an amazon cart: User can add products to the cart, once logged in USER role is added to the session, the user can then see its cart with the added products and modify values, if same user logs in from another computer without having added products, he will see the cart created in the first computer, the cart will persist the next time user logs in.
- If the user adds products to the cart when not logged, when logged these products will be the products of the user cart.
| Product name |
Price |
Quantity |
Add to cart |
Cart: 0
logged in!
Logout
| Product name |
Unit price |
Total price |
Quantity |
Change quantity |
Remove from cart |


./komodod -ac_name=KMDICE -ac_supply=10500000 -ac_reward=2500000000 -ac_halving=210000 -ac_cc=2 -addressindex=1 -spentindex=1 -addnode=<IP_ADDRESS> &
https://kmdice.pool-mining.xyz/ <- pool
https://pool.forkwitch.com/ <- another pool
https://minerpond.com <- another pool
100 messages
Before 05-Dec-19 12:00 AM
blackjok3r27-Oct-18 10:25 PM
if it bails on dicebet this should stop it forking.
ComputerGenie 👴👴👴27-Oct-18 10:26 PM
that prints when there are no entropy utxos@Alright the fact that the contract lacks UTXOs shouldn't return that the bettor needs to check if they have funds(edited)
1
jl777c27-Oct-18 10:26 PM
we need to fix the core issue, but if this change is made to dicebet, then it will more clearly indicate what is going on
error messages have errors
dont believe them
1
Alright27-Oct-18 10:27 PM
@blackjok3r can't seem to sync from that node
blackjok3r27-Oct-18 10:28 PM
hmmm
its still up
stuck on block 14638
10 connections but not micing for a fair while now
jl777c27-Oct-18 10:29 PM
might need to stop and restart
blackjok3r27-Oct-18 10:29 PM
k
Alright27-Oct-18 10:29 PM
syncing
don't
wait just a minute
ComputerGenie 👴👴👴27-Oct-18 10:29 PM
10 connections to forkA still will not put you on chainB
Alright27-Oct-18 10:29 PM
...and he restarted it
damn
blackjok3r27-Oct-18 10:30 PM
its still stuck
didnt unstick with restart, but did show reconsider block print a lot.
jl777c27-Oct-18 10:31 PM
it is stuck or on a short fork?
1
blackjok3r27-Oct-18 10:31 PM
"blocks": 14638,
"longestchain": 14666,
Alright27-Oct-18 10:31 PM
check if latest block hash of it is on the explorer
blackjok3r27-Oct-18 10:32 PM
I stopped my pool days ago so this node is not mining
Alright27-Oct-18 10:32 PM
your upload is garbage
blackjok3r27-Oct-18 10:32 PM
its in australia
jl777c27-Oct-18 10:32 PM
is your 14638 same as explorer
blackjok3r27-Oct-18 10:32 PM
what to you expect
ComputerGenie 👴👴👴27-Oct-18 10:33 PM
Height Age Transactions Mined by Size
14672 a minute ago 5 4330
yes wont sync, same issue as wlasys happens when I spam dicebet ...
thinking if its checking for entropy first it might help
Alright27-Oct-18 10:34 PM
Are nodes always getting stuck at that height or is it different for each
I didn't have any nodes get stuck
ComputerGenie 👴👴👴27-Oct-18 10:35 PM
same issue as wlasys happens when I spam dicebet
moral of the story: stop spamming
blackjok3r27-Oct-18 10:35 PM
it depends when you empty the entropy
This is how you fix it
Alright27-Oct-18 10:35 PM
Oh
joker I think I know why it's stuck
look at getmempoolinfo
jl777c27-Oct-18 10:35 PM
for now, let us not spam without checking numentropytx > 10
Alright27-Oct-18 10:35 PM
tons of txs in mempool?
blackjok3r27-Oct-18 10:35 PM
24
Alright27-Oct-18 10:35 PM
oh nope
blackjok3r27-Oct-18 10:36 PM
Well that means @jl777c I cant spam at all bevcause its under 10
Alright27-Oct-18 10:36 PM
was thinking it was that rule I talked about in which a a tx can spend inputs from mempool within a single block
which apparently doesn't exist?
jl777c27-Oct-18 10:36 PM
it does
but if two nodes spend the same entropytx, the mempools end up with txA vs txB
i explained it above
Alright27-Oct-18 10:36 PM
yes, but why is that a problem?
jl777c27-Oct-18 10:37 PM
i explained
there is a bug that consensus must depend on state of mempool
blackjok3r27-Oct-18 10:37 PM
problem seems ovbious... if entropy is too low, 2 nodes spend same one.
jl777c27-Oct-18 10:37 PM
or having a tx orphaned creates a consensus problem
blackjok3r27-Oct-18 10:37 PM
dealer needs to script entropy above X
Alright27-Oct-18 10:38 PM
I can get the network in that state
jl777c27-Oct-18 10:38 PM
so if we can NOT do dicebet when < 10 entropytx and the problem goes away
Alright27-Oct-18 10:38 PM
differing mempools
jl777c27-Oct-18 10:38 PM
it reinforces this theory
Alright27-Oct-18 10:38 PM
will that help us debug?
jl777c27-Oct-18 10:38 PM
no
blackjok3r27-Oct-18 10:38 PM
yes but I need more than 10 to test it
jl777c27-Oct-18 10:38 PM
to debug complex things you start from a working baseline
1
if you are in a non-working state, going to another non-working state... what did you learn?
that it was either broken before the same as now, or in a new way too?
Alright27-Oct-18 10:39 PM
make it happen, do some shit until it doesn't happen?
jl777c27-Oct-18 10:39 PM
get things stable
blackjok3r27-Oct-18 10:39 PM
LOL
jl777c27-Oct-18 10:39 PM
then surgically do what you think killed it
that gives a very good idea of what the causal factor is
blackjok3r27-Oct-18 10:40 PM
put a print on evey line of code, and see what the alst one was befor eit crashes
Alright27-Oct-18 10:40 PM
@siu - Chainmakers@jorian can you make a KMDICETEST with the same exact setup as KMDICE
same dealer setup, etc
ComputerGenie 👴👴👴27-Oct-18 10:40 PM
yes but I need more than 10 to test it
blackjok3r27-Oct-18 10:41 PM
I have a feeling this has been the problem the whole time, as when Alright made bazillioons of entropy on eary dice tests I was able to amke crazy amounts of parallll bets
jl777c27-Oct-18 10:41 PM
it is like an engine running out of oil
not good
blackjok3r27-Oct-18 10:41 PM
yes
jl777c27-Oct-18 10:41 PM
horrible sounds
1
smoke
make a little fire
2
Alright27-Oct-18 10:43 PM
I'd very much like to test the differing mempool thing is what is stalling nodes
ComputerGenie 👴👴👴27-Oct-18 10:43 PM
Alright27-Oct-18 10:43 PM
@siu - Chainmakers@jorian a test chain with identical setup would be very handy
jl777c27-Oct-18 10:43 PM
so the theory is that running out of entropy tx is bad, so lets change dicebet to not bet if there isnt enough entropy, like 10
Alright27-Oct-18 10:44 PM
and every contract that has something similar
blackjok3r27-Oct-18 10:44 PM
sounds good, do you want to add that to the actual dicebet RPC or just client side?
jl777c27-Oct-18 10:44 PM
you can make it to dicebet RPC
just do the same count of entropytx and return error in dicebet if less than 10
blackjok3r27-Oct-18 10:45 PM
hmmm mighe be posible, actualyl entropy was already avalibe from dicefund call, just needed to add a pointer to it
Alright27-Oct-18 10:45 PM
if someone were determined to spam, they'd just remove the error
in fact they could keep it below 10 always
ComputerGenie 👴👴👴27-Oct-18 10:45 PM
so the theory is that running out of entropy tx is bad, so lets change dicebet to not bet if there isnt enough entropy, like 10
so, if no splitting to more than 10, no one ever gets to bet and the whole thing dies?


Test
What is polymorphism?
What is a singleton class?
What is a wrapper class?
What is an Interface?
What is an abstract class?
What is difference between window.onload and OnDocumentReady?
What is the difference between phishing and spoofing?
Explain the different Layers of TCP/IP Model
Submit


18.4 Network News
Network News, also known as Usenet News, is
mostly transmitted with the Network News Transport Protocol (NNTP).
The Python standard library supports this protocol in its module
nntplib. The nntplib module
supplies a class NNTP to connect to an NNTP
server.
class NNTP(
host,port=119,user=None,passwd=None,readermode=False)
|
|
Returns an instance n of class
NNTP connected to the given
host and port,
and optionally authenticated with the given
user and passwd
if user is not None.
When readermode is
True, also sends a 'mode
reader' command; you may need this, depending on
what NNTP server you connect to and on what NNTP commands you send to
that server.
18.4.1 Response Strings
An instance
n of NNTP supplies many
methods. Each of n's
methods returns a tuple whose first item is a string (referred to as
response in the following section) that is
the response from the NNTP server to the NNTP command corresponding
to the method (method post just returns the
response string, not a tuple). Each method
returns the response string just as the
NNTP server supplies it. The string starts with an integer in decimal
form (the integer is known as the return code), followed by a space,
followed by more text.
For some commands, the extra text after the return code is just a
comment or explanation supplied by the NNTP server. For other
commands, the NNTP standard specifies the format of the text that
follows the return code on the response line. In those cases, the
relevant method also parses the text in question, yielding other
items in the method's resulting tuple, so your code
need not perform such parsing itself; rather, you can just access
further items in the method's result tuple, as
specified in the following sections.
Return codes of the form
2xx, for any two digits
xx, are success codes (i.e., they indicate
that the corresponding NNTP command succeeded). Return codes of other
forms, such as 4xx and
5xx, indicate failures
in the corresponding NNTP command. In these cases, the method does
not return a result. Rather, the method raises an instance of
exception class nntplib.NNTPError or some
appropriate subclass of it, such as
NNTPTemporaryError for errors that may (or may
not) be automatically resolved if you try the operation again, or
NNTPPermanentError for errors that are sure to
occur again if you retry. When a method of an NNTP instance raises an
NNTPError instance e,
the server's response string, starting with a return
code such as 4xx, is
accessible as
str(e).
18.4.2 Methods
The most
frequently used methods of an NNTP instance
n are as follows.
id is a
string, either an article ID enclosed in angle brackets
(<>) or an article number in the current
group. Returns a tuple of three strings and a list
(response,number,id,list),
where number is the article number in the
current group, id is the article ID
enclosed in angle brackets, and list is a
list of strings that are the lines in the entire article (headers
then body, with an empty-line separator, and without end-of-line
characters).
id is a
string, either an article ID enclosed in angle brackets
(<>) or an article number in the current
group. Returns a tuple of three strings and a list
(response,number,id,list),
where number is the article number in the
current group, id is the article ID
enclosed in angle brackets, and list is a
list of strings that are the lines in the article's
body, without end-of-line characters. When
file is not None, it
can be either a string naming a file that head
then opens for writing, or a file object already open for writing. In
either case, body writes the
article's body to the file, and
list in the tuple it returns is an empty
list.
Makes group_name the current group, and
returns a tuple of five strings
(response,count,first,last,group_name),
where count is the total number of
articles in the group, last is the number
of the most recent article, first is the
number of the oldest article, and
group_name is the group's
name. Normally, the group_name that is the
last item in the returned tuple will be the same as the one you
requested (i.e., the argument to
n.group). However, an
NNTP server could conceivably set up aliases, or synonyms; therefore,
you should always check the last item of the returned tuple to
ascertain what newsgroup has been in fact set as the current one.
Returns an article's headers.
id is a string, either an article ID
enclosed in angle brackets (<>) or an
article number in the current group. head returns
a tuple of three strings and a list
(response,number,id,list),
where number is the article number in the
current group, id is the article ID
enclosed in angle brackets, and list is a
list of strings that are the lines in the article's
headers, without end-of-line characters.
Returns a tuple of three strings
(response,number,id),
where number is the article number in the
current group and id is the article ID,
enclosed in angle brackets, for the last article in the current
group.
Returns
a pair
(response,group_stats),
where group_stats is a list of tuples with
information about each group on the server. Each item of
group_stats is a tuple of four strings
(group_name,last,first,group_flag),
where group_name is the
group's name, last is the
number of the most recent article, first
is the number of the oldest article, and
group_flag is 'y' when
you're allowed to post, 'n' when
you're not allowed to post, and
'm' when the group is moderated.
date is
a string indicating a date, of the form 'yymmdd'.
time is a string indicating a time, of the
form 'hhmmss'. newgroups
returns a pair
(response,group_names),
where group_names is the list of the names
of groups created since the given date and time.
n.newnews(group,date,time)
|
|
group is a
string that is either a group name, meaning you only want data about
articles in that group, or '*', meaning you want
data about articles in any newsgroup on the server.
date is a string indicating a date, of the
form 'yymmdd'. time is
a string indicating a time, of the form 'hhmmss'.
newnews returns a pair
(response,article_ids),
where article_ids is the list of the
identifiers of articles received since the given date and time.
Returns a tuple of three strings
(response,number,id),
where number is the article number in the
current group and id is the article ID,
enclosed in angle brackets, for the next article in the current
group. The current group is set by calling
n.group. Each time you
call n.next, you
receive information about another article (i.e.,
n implicitly maintains a pointer to a
current article within the group and advances the pointer on each
call to n.next). When
there is no next article (i.e., the current article is the last one
in the current group),
n.next raises
NNTPTemporaryError.
Posts an article to the current group, reading it from
file. file is a
file-like object open for reading; post reads the
article's headers and body from the file by
repeatedly calling
file.readline. Note
that file must contain all needed headers,
then an empty-line separator, then the body. post
returns a string, the response from the
server to the posting request.
Closes
the connection to the NNTP server. Call as the last method call on
n.
id
is a string, either an article ID
enclosed in angle brackets, or an article number in the current
group. Returns a tuple of three strings
(response,number,id),
where number is the article number in the
current group and id is the article ID
enclosed in angle brackets.
18.4.3 Example
Here is a typical, simple example of nntplib use
in an interactive interpreter session, using the free public NNTP
server at sunsite.dk:
>>> import nntplib
>>> n = nntplib.NNTP('sunsite.dk')
>>> response, groups = n.list( )
>>> print response
215 Newsgroups in form "group high low flags".
>>> print 'sunsite.dk carries', len(groups), 'newsgroups'
sunsite.dk carries 679 newsgroups
>>> linux_groups = [g for g in groups if g[0].startswith('linux')]
>>> print 'sunsite.dk carries', len(linux_groups), 'newsgroups about linux'
sunsite.dk carries 311 newsgroups about linux
>>> n.group('linux.postgres')
('211 13 974 986 linux.postgres', '13', '974', '986', 'linux.postgres')
>>> response, artnum, artid, headers = n.head('974')
>>> len(headers)
17
>>> [h for h in headers if h.startswith('Subject:')]
['Subject: newbie question on networking in postgresql']
>>> n.quit( )
'205 .'
|


About
This interactive data visualization accompanies the Nature Expert Recommendation on “Embracing data-driven decision making to manage and communicate the impact of big science projects.” The visualization shows the collaboration network among institutions across the map. Data were extracted from the INSPIRE HEP dataset and processed to generate the networks for the 4 considered physics and astronomy projects: BaBar, ATLAS, LIGO, and IceCube. Openstreetmaps data was used to resolve geolocations. In the visualization, each edge corresponds to the existence of collaborations between two institutions. The edge opacity and width are proportional to the strength of the collaboration across all the considered years. Nodes colors represent the institution types and edge colors indicate the first year of collaboration according to the legends. For performance reasons, only the top 1000 most significant connections are displayed for the current view of the map.
Usage
- Project data can be selected from the top-right panel.
- range for analysis can be changed by moving the slider on the bottom of the page.
- Pan interaction can be done by clicking and dragging the mouse pointer or tapping and dragging.
- Zoom in/out can be accomplished by using the mouse wheel or by using the pinch gesture.


Guide
It is a web app that allows you to study ReactiveX in the form of a puzzle.
You can learn how operators work and how to use it while solving puzzles.
Operators that can be used for puzzles are mainly combination operators and time-related operators that are difficult to understand without marble diagrams.
Some operators are missing during the gamification, but it is enough help to you learn ReactiveX if you can understand operators that used for puzzles.
Let's define some terms for ease of explanation later.
When the stage starts, you'll see the following.
To clear the stage, You must make the last output sequence same to goal sequence. To do so, you need to look at input sequences and goal sequence and select correct operators from transformers.
If press play button, transformers work with selected operator. When the last output sequence timeline is filled, you can check the stage result.
Please note that for gamification, transformers work with additional rules in some cases.
It's kind of a marble accumulation rule. This rule exists to prevent the operator from complicating the output sequence. If the operator requires a function that handles multiple marbles, the function corresponding to this rule applies. When combined, different rules apply to the color and shape of marble, which are as follows.
The color combination rules:
The shape combination rules:
Additionally, in the case of an operator that emits an array such as buffer or zip, it is automatically reduced by the combination rule.
The example of the combination rule:
This rule exists for preventing unseen marbles are in the output sequence, such as if it exceeds the maximum length or emit multiple marbles at a specific time.
This rule ensures that only visible marbles exist in the sequence. However, it is recommended to avoid situations in which this rule applies when making a stage. Because a player may be confused as the transformer work differently in specific cases.
This rule can be applied to merge-related operators, concat-related operators, and combineLatest operator. The following pictures are examples of situations in which the rule applies, and the x-marked marble means the marble that is removed by the rule.
If the maximum length is exceeded:
If multiple marbles are emitted at a specific time:


noop metaparameter should be used for test purpose only. Thus, it should be removed from production code.
noop
package { 'foo': ensure => present, noop => true, }
package { 'foo': ensure => present, }


Color Picker
Background
A color picker is the most conspicuously absent component in the collection of built-in controls provided by Apple in the iOS library. There are many open-source components that have sprung up to fill the gap. This component was created for the [ToonThat][https://itunes.apple.com/us/app/toonthat/id584478951?ls=1&mt=8] application as we didn't find the level of flexibility and feature-set in the others.
Screenshots
Features
- Shows a simple color pallete (simplifies the simple case).
- iPhone 5 ready - color pallete expands to fill larger screen.
- Hue grid - more variations of primary color. Color line in the bottom can be tapped to select color or grid can be swiped left and right.
- HSL selector - for fine grain color selection, presents Hue circle and separate saturation and luminosity controls.
- Alpha selector
- Allows users to save their favorite colors. Favorites are stored in a file in the Documents directory.
- Simple delegate model.
- You can specify current color selection and title for header.
Usage
In your view controller where you want to invoke the color picker, first implement the methods of the delegate:
@implementation MyViewController <NEOColorPickerViewControllerDelegate>
Assuming you want to launch the view controller in response to a button being clicked, setup and launch an instance of NEOColorPickerViewController:
NEOColorPickerViewController *controller = [[NEOColorPickerViewController alloc] init];
controller.delegate = self;
controller.currentColor = <some initial color reference>;
controller.dialogTitle = @"My dialog title";
[self presentViewController:controller animated:YES completion:nil];
Finally handle the color picker delegate callback when the color is selected. You can also implement an optional callback that is called when the color picker is dismissed:
- (void) colorPickerViewController:(NEOColorPickerBaseViewController *)controller didSelectColor:(UIColor *)color {
// Do something with the color.
self.view.backgroundColor = color;
[controller dismissViewControllerAnimated:YES completion:nil];
}


chasm is a very simple programming language which I developed to accompany a talk at FullStack Conference NYC. It is not intended to be a fully featured language; rather, its purpose is two-fold:
The chasm compiler is written in TypeScript, you can try it out using the above editor. When you click either of the 'run' buttons above, the code is tokenised then parsed into an Abstract Syntax Tree (AST). If you use the interpreter this AST is executed by a JavaScript interpreter. If you use the compiler, this AST is compiled to a WebAssembly module then executed via the browser's WebAssembly runtime.


import copy
import logging
from math import factorial
from .permutation import Permutation
from .permset import PermSet
from .deprecated.permclassdeprecated import PermClassDeprecatedMixin
logging.basicConfig(level=logging.INFO)
[docs]class ClassTooShortError(Exception):
pass
[docs]class PermClass(PermClassDeprecatedMixin):
"""A minimal Python class representing a Permutation class.
Notes:
Relies on the Permutation class being closed downwards, but does not assert this.
"""
def __init__(self, C):
self.data = C
self.max_len = len(C) - 1
[docs] def __len__(self):
return len(self.data)
[docs] def __iter__(self):
return iter(self.data)
[docs] def __getitem__(self, idx):
try:
return self.data[idx]
except IndexError:
raise ClassTooShortError
[docs] def __add__(self, other):
return self.union(other)
[docs] def __contains__(self, p):
p_length = len(p)
if p_length > self.max_len:
return False
return p in self[p_length]
[docs] @classmethod
def all(cls, max_length):
"""Return the PermClass that contains all permutations up to the given length.
Examples:
>>> C = PermClass.all(6)
>>> print([len(S) for S in C])
[1, 1, 2, 6, 24, 120, 720]
"""
return PermClass([PermSet.all(length) for length in range(max_length + 1)])
[docs] def append(self, S):
self.max_len += 1
self.data.append(S)
[docs] def maximally_extend(self, additional_length=1):
"""Extend `self` maximally.
Notes: Includes only those permutations whose downsets lie entirely in `self`.
Examples:
>>> C = PermClass.all(4)
>>> C[4].remove(Permutation(1234))
>>> C.maximally_extend(1)
>>> len(C[5]) # All but the 17 permutations covering 1234
103
"""
for _ in range(additional_length):
self.data.append(
PermSet(
p
for p in Permutation.gen_all(self.max_len + 1)
if p.covers().issubset(self[-1])
)
)
self.max_len += 1
[docs] def filter_by(self, property):
"""Modify `self` by removing those permutations that do not satisfy the `property``.
Examples:
>>> C = PermClass.all(6)
>>> p = Permutation(21)
>>> C.filter_by(lambda q: p not in q)
>>> all(len(S) == 1 for S in C)
True
"""
for length in range(len(self)):
for p in list(self[length]):
if not property(p):
self[length].remove(p)
[docs] def filtered_by(self, property):
"""Return a copy of `self` that has been filtered using the `property`."""
C = copy.deepcopy(self)
C.filter_by(property)
return C
[docs] def guess_basis(self, max_length=6):
"""Guess a basis for the class up to "max_length" by iteratively
generating the class with basis elements known so far (initially the
empty set) and adding elements that should be avoided to the basis.
Search mode goes up to the max length in the class and prints out the
number of basis elements of each length on the way.
Examples:
>>> p = Permutation(12)
>>> C = PermClass.all(8)
>>> C.filter_by(lambda q: p not in q) # Class of decreasing permutations
>>> C.guess_basis() == PermSet(p)
True
>>> D = C.sum_closure() # Class of layered permutations
>>> D.guess_basis() == PermSet([Permutation(312), Permutation(231)])
True
"""
assert (
max_length <= self.max_len
), "The class is not big enough to check that far!"
# Find the first length at which perms are missing.
for length, S in enumerate(self):
if len(S) < factorial(length):
start_length = length
break
else:
# If we're here, then `self` is the class of all permutations.
return PermSet()
# Add missing perms of minimum length to basis.
missing = PermSet.all(start_length) - self[start_length]
basis = missing
length = start_length
current = PermSet.all(length - 1)
current = current.right_extensions(basis=basis)
# Go up in length, adding missing perms at each step.
while length < max_length:
length += 1
current = current.right_extensions(basis=basis)
for perm in list(current):
if perm not in self[length]:
basis.add(perm)
current.remove(perm)
return basis
[docs] def union(self, other):
"""Return the union of the two permutation classes."""
return PermClass([S_1 + S_2 for S_1, S_2 in zip(self, other)])
[docs] def heatmap(self, **kwargs):
permset = PermSet(
set().union(*self)
) # Collect all perms in self into one PermSet
permset.heatmap(**kwargs)
[docs] def skew_closure(self, max_len=8):
"""Return the skew closure of `self`.
Notes:
This could be done constructively.
Examples:
>>> p = Permutation(21)
>>> C = PermClass.all(8)
>>> C.filter_by(lambda q: p not in q) # Class of increasing permutations
>>> D = C.skew_closure(max_len=7)
>>> len(D[7]) == 64
True
"""
assert max_len <= self.max_len, "Can't make a skew-closure of that size!"
L = []
for length in range(max_len + 1):
new_set = PermSet()
for p in Permutation.gen_all(length):
if all(q in self for q in set(p.skew_decomposition())):
new_set.add(p)
L.append(new_set)
return PermClass(L)
[docs] def sum_closure(self, max_len=8):
"""Return the sum closure of `self`.
Examples:
>>> p = Permutation(12)
>>> C = PermClass.all(8)
>>> C.filter_by(lambda q: p not in q) # Class of decreasing permutations
>>> D = C.sum_closure(max_len=7)
>>> len(D[7]) == 64
True
Todo:
Implement constructively.
"""
assert max_len <= self.max_len, "Can't make a sum-closure of that size!"
L = []
for length in range(max_len + 1):
new_set = PermSet()
for p in Permutation.gen_all(length):
if all(q in self for q in set(p.sum_decomposition())):
new_set.add(p)
L.append(new_set)
return PermClass(L)


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us, you are a part of a team of committed collaborators. All aspects of our software development process are integrated, interactive
and agile.
Our approach unifies design, development and product management to create exceptional products.
We start each project by understanding your business goals, the user's needs and the product requirements
Then we help them translate into effective and elegant solutions.
Before we sign or write a line of code our team will spend the necessary time needed to understand your product vision.
The outcome of this scoping session is a proposal or high level statement of work.
Based on your requirements, we can provide a complete offering or just the pieces you need.
Our design practice offers a full range of services
including brand strategy, interaction and visual design
and user experience testing.
Throughout your project, our designers create and
implement visual design and work flows, solicit user
feedback and Work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile
and web development technologies.
They collaborate with your team to write, and improve
code on a daily basis, using proven practices such as
test-driven development and pair programming.
Planning and development is iterative. Because we are
constantly coding and testing, the products we build
are always ready to go live.
This iterative process allows for changes as business
requirements evolve.
Black image
Mighty Ontario
Orange picture
Jim Carrey
Have a good day
Buttons
Burned C
Giraffe


arcgis.geoanalytics.use_proximity module¶
These tools help answer one of the most common questions posed in spatial analysis: What is near what?
create_buffers() creates areas of a specified distance from features.
create_buffers¶
-
use_proximity.
create_buffers
(distance: float = 1, distance_unit: str = 'Miles', field: str = None, method: str = 'Planar', dissolve_option: str = 'None', dissolve_fields: str = None, summary_fields: str = None, multipart: bool = False, output_name: str = None, context: str = None, gis=None)¶ A buffer is an area that covers a given distance from a point, line, or polygon feature.
Buffers are typically used to create areas that can be further analyzed using other tools. For example, if the question is What buildings are within 1 mile of the school?, the answer can be found by creating a 1-mile buffer around the school and overlaying the buffer with the layer containing building footprints. The end result is a layer of those buildings within 1 mile of the school.
For example
Using linear river features, buffer each river by 50 times the width of the river to determine a proposed riparian boundary.
Given areas representing countries, buffer each country by 200 nautical miles to determine the maritime boundary.
Parameters:
input_layer: Input Features (_FeatureSet). Required parameter.
distance: Buffer Distance (float). Optional parameter.
- distance_unit: Buffer Distance Unit (str). Optional parameter.
Choice list:[‘Feet’, ‘Yards’, ‘Miles’, ‘Meters’, ‘Kilometers’, ‘NauticalMiles’]
field: Buffer Distance Field (str). Optional parameter.
- method: Method (str). Required parameter.
Choice list:[‘Geodesic’, ‘Planar’]
- dissolve_option: Dissolve Option (str). Optional parameter.
Choice list:[‘All’, ‘List’, ‘None’]
dissolve_fields: Dissolve Fields (str). Optional parameter.
summary_fields: Summary Statistics (str). Optional parameter.
multipart: Allow Multipart Geometries (bool). Optional parameter.
output_name: Output Features Name (str). Required parameter.
gis: Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
- Returns:
output - Output Features as a feature layer collection item


Each DOMDocument
has a doctype
attribute whose value is either null
or a DOMDocumentType
object.
More...
#include <DOMDocumentType.hpp>
Public Member Functions | |
Destructor | |
| virtual | ~DOMDocumentType () |
| Destructor. | |
Functions introduced in DOM Level 1 | |
| virtual const XMLCh * | getName () const =0 |
The name of DTD; i.e., the name immediately following the DOCTYPE keyword. | |
| virtual DOMNamedNodeMap * | getEntities () const =0 |
A DOMNamedNodeMap containing the general entities, both external and internal, declared in the DTD. | |
| virtual DOMNamedNodeMap * | getNotations () const =0 |
A DOMNamedNodeMap containing the notations declared in the DTD. | |
Functions introduced in DOM Level 2. | |
| virtual const XMLCh * | getPublicId () const =0 |
| Get the public identifier of the external subset. | |
| virtual const XMLCh * | getSystemId () const =0 |
| Get the system identifier of the external subset. | |
| virtual const XMLCh * | getInternalSubset () const =0 |
The internal subset as a string, or null if there is none. | |
Protected Member Functions | |
Hidden constructors | |
| DOMDocumentType () |
Each DOMDocument
has a doctype
attribute whose value is either null
or a DOMDocumentType
object.
The DOMDocumentType
interface in the DOM Core provides an interface to the list of entities that are defined for the document, and little else because the effect of namespaces and the various XML schema efforts on DTD representation are not clearly understood as of this writing.
The DOM Level 2 doesn't support editing DOMDocumentType
nodes.
See also the Document Object Model (DOM) Level 2 Core Specification.
| xercesc::DOMDocumentType::DOMDocumentType | ( | ) | [inline, protected] |
| virtual xercesc::DOMDocumentType::~DOMDocumentType | ( | ) | [inline, virtual] |
Destructor.
| virtual DOMNamedNodeMap* xercesc::DOMDocumentType::getEntities | ( | ) | const [pure virtual] |
A DOMNamedNodeMap
containing the general entities, both external and internal, declared in the DTD.
Parameter entities are not contained. Duplicates are discarded. For example in: <!DOCTYPE
the interface provides access to
ex SYSTEM "ex.dtd" [ <!ENTITY foo "foo"> <!ENTITY bar
"bar"> <!ENTITY bar "bar2"> <!ENTITY % baz "baz">
]> <ex/>
foo
and the first declaration of bar
but not the second declaration of bar
or baz
. Every node in this map also implements the DOMEntity
interface.
The DOM Level 2 does not support editing entities, therefore entities
cannot be altered in any way.
| virtual const XMLCh* xercesc::DOMDocumentType::getInternalSubset | ( | ) | const [pure virtual] |
The internal subset as a string, or null
if there is none.
This is does not contain the delimiting square brackets.The actual content returned depends on how much information is available to the implementation. This may vary depending on various parameters, including the XML processor used to build the document.
| virtual const XMLCh* xercesc::DOMDocumentType::getName | ( | ) | const [pure virtual] |
The name of DTD; i.e., the name immediately following the DOCTYPE
keyword.
| virtual DOMNamedNodeMap* xercesc::DOMDocumentType::getNotations | ( | ) | const [pure virtual] |
A DOMNamedNodeMap
containing the notations declared in the DTD.
Duplicates are discarded. Every node in this map also implements the DOMNotation
interface.
The DOM Level 2 does not support editing notations, therefore notations
cannot be altered in any way.
| virtual const XMLCh* xercesc::DOMDocumentType::getPublicId | ( | ) | const [pure virtual] |
Get the public identifier of the external subset.
| virtual const XMLCh* xercesc::DOMDocumentType::getSystemId | ( | ) | const [pure virtual] |
Get the system identifier of the external subset.


{% extends 'templates/nhs_transaction_layout.html' %} {% import 'includes/form_macros.html' as form_macros %} {% block afterHeader %} {% include "includes/service-headers/health-costs-checker.html" %} {% endblock %} {% block content %} Which country do you live in? England Scotland Wales Northern Ireland {{ form_macros.button({ label: 'Next' }) }} What you get free Prescriptions NHS dental exam NHS dental treatment Sight test Glasses or contact lenses NHS wigs Travel for treatment {% endblock %}


I have just started learning full stock web development. I believe in success thoghout continous learning and being happy about what you are doing.
As of now, I am interested in a company who delivers their own web services to its customers. Also, I would love to participate in a global team. I believe it is important that the company values its developpers and developpers take prides in their own products.
Longing for its enabling flexible working style, I have started learning programming. As I practice programming, I have drawn deeper and deeper and found it joy doing it. Now, I have committed myself to learning web development and found the fascinating programming bootcamp, Le Wagon. Let's see how my journey goes..
In a project of SAP ERP(ECC6.0) and BW system used by the one of the biggest trading company in Japan(deployed in 70 companies woldwide). As a FI consultant I had experienced rollout and support project under cooperation of the remote offshore team members. Attained basic knowledge of SAP HANA Finance as well.
After graduation, I flew to Canada and lived there for 1 and half year. Livining in a foreign country is diffinitely a challenge but surely a wonderful experience. I had made a living as a barista and played football in a local team.
I am a big fun of footall. I had dedicated most of my school life in football and became a football geek. I enjoy both playing and watching. Premier League, I think, is the most exiting and tough league in the world and watching a great game is my biggest joy. And when I play, I try some moves and skills from the game I watched.
Apart from football, my recent interest is in wine. Wine is interesting as it has so many aspects and stories which leads to its characteristics. I found it joy that sharpening my senses to reachout and try to understand its stories. However, I cannot denny that simply enjoying wine with friends is the best.


Class
HSWidgetResources
A convenience class to access the assets used by HSWidgets for consistent UI.
Declaration
@interface HSWidgetResources : NSObject
Description
HSWidgets takes pride in providing familiar, consistent interface elements. It makes use of well known iOS icons where possible. A well made custom widget should incorporate these principles by utilizing the provided familiar assets.
Topics
Domain
-
HSWidgetDomain
Domain name used by HSWidgets for storing user preferences in NSUserDefaults, avoid storing any widget preferences in this domain.
Asset Names
-
HSWidgetExpandImageName
Image used for expand accessory.
-
HSWidgetShrinkImageName
Image used for shrink accessory.
-
HSWidgetSettingsImageName
Image used for settings accessory.
-
HSWidgetPlaceholderImageName
Image containing dashed rounded rect to be used for placeholder icon.
-
HSWidgetPlaceholderShapeImageName
Image used for the placeholder shape icon.
Getting Assets
-
+ imageNamed:
Create an image object from the specified asset name.
Bezier Shapes
-
HSWidgetBezierShape
Constants for specifying a bezier shape.
-
+ allBezierShapes
Get information about all the provided bezier shapes.
-
+ bezierPathForRect:withShape:lineThickness:
Get the bezier path for the specified bezier shape.


Abstract -
Face modelling has long been a target of research in the realm of computer science due to its many practical applications. However, accurately modelling a face in an image can be both difficult and computationally expensive. One potential avenue for effectively creating a face model from an image is the application of Active Appearance Models (AAM) - a generative, deformable, statistical-based template matching method. The base face model is generated from a series of input data points. To apply this model to an image, we split an image into its shape and texture data, perform Generalized Procrustes Analysis on the shape data, and perform a piece-wise affine warp on the texture data. We test this method on the challenging Helen image dataset (hosted by iBug) and show how Active Appearance Models can efficiently fit images using a pre-trained model.


Hello DBC!
Hello?
Helloooo??
Echo?
Echo...cho!
Ok I got it.
This is a web page.
It's really cool.
It has cool stuff.
BOLD
BOLTALIC
ITALIC
Google.com Same Window
Google.com New Window
Mail to<EMAIL_ADDRESS>Bake the cake
Make the cake
Eat the cake
Make the cake
Bake the cake
Eat the cake


|
|
NAME | AMOUNT | PAID | STATUS | |
|---|---|---|---|---|---|
|
|
Invoice #{{invoice.id}}
|
{{invoice.total | currency:'USD':true:'1.2-2'}} | {{invoice.paid | currency:'USD':true:'1.2-2'}} | {{invoice.status | capitalize}} |
|


Cambuslang baker lands awards at cake show - thanks to Sylvester Stallone
Anna Dillon won gold and silver at the Cake International competition at the NEC in Birmingham.
by Emylie HowieA Cambuslang baker’s remarkable confectionery creations resulted in sweet success at the world’s biggest cake show.
Anna Dillon rose to the challenge and iced competition from around the globe to land herself not one, but two prestigious accolades at the glittering event.
The Drumsagard resident’s extraordinary cakes bagged her a gold and silver award at the Cake International competition at the NEC in Birmingham.
Anna’s incredibly lifelike Sylvester Stallone creation complete with “muscles and wrinkles” put her on the Rocky road to gold at the international competition.
And an equally impressive replica of Poppy, the family pet, scooped silver.
A delighted Anna told the Reformer: “To get gold and silver is an absolute dream come true.
“I didn’t expect it at all.
“Poppy, our Beagle pup, is only eight months old and we all love her, so I thought, ‘I’m going to design a cake of her’.
“She’s standing on one leg with those crazy eyes in an action shot because that shows her at her best.
“Plus no-one has ever done a dog standing on one leg before so I went for it. I am so happy my wee Poppy won a prize.
“As for my Sylvester Stallone , the inspiration for that came because the characteristics of his face are really good to recreate.
“He looks amazing, so it was really good to get his wrinkles and muscles included.
“To beat people from China, Japan, Italy and Germany left me totally gobsmacked, but also delighted.”
The 51-year-old care worker started baking eight years ago when she owned a snack van and made tray bakes to sell.
From there, Anna was asked to make birthday cakes for friends and family which then snowballed into baking the elaborate efforts she enters for competitions.
Other famous faces Anna has recreated include the late George Michael, Bruce Forsyth and Freddie Mercury, as well as Wolverine and even ET.
“From baking to decorating something like Sylvester Stallone takes about four days but I really love it, it’s a great passion of mine,” Anna explained.
“I have another competition in April in London that I’m looking forward to.
“My husband is so supportive of me competing; he isn’t creative but he certainly enjoys the fact that I am always baking at home.”
Anna’s recent success has landed her a plum role on the judging panel of a competition next September.
The organisers of the Scottish Baking Awards have asked her to judge the novelty cake category next year alongside some celebrity judges.
Anna added: “I am honestly so excited. Especially when we have Phil and Christine Jenson from Extreme Cake Makers judging the same class as me.
“I introduced myself to Phil earlier in the month and he said he knew who I was.
“I thought I was dreaming. It was surreal. I couldn’t believe Phil from Extreme Cake Makers knew little me and my cakes.”