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The DTD handler interface defines callback methods to report information items in the DTD of an XML document. Parser components interested in DTD information implement this interface and are registered as the DTD handler on the DTD source.
XMLDTDContentModelHandler
| Field Summary | |
|---|---|
static short |
CONDITIONAL_IGNORE
Conditional section: IGNORE. |
static short |
CONDITIONAL_INCLUDE
Conditional section: INCLUDE. |
| Method Summary | |
|---|---|
void |
attributeDecl(java.lang.String elementName,
java.lang.String attributeName,
java.lang.String type,
java.lang.String[] enumeration,
java.lang.String defaultType,
XMLString defaultValue,
XMLString nonNormalizedDefaultValue,
Augmentations augmentations)
An attribute declaration. |
void |
comment(XMLString text,
Augmentations augmentations)
A comment. |
void |
elementDecl(java.lang.String name,
java.lang.String contentModel,
Augmentations augmentations)
An element declaration. |
void |
endAttlist(Augmentations augmentations)
The end of an attribute list. |
void |
endConditional(Augmentations augmentations)
The end of a conditional section. |
void |
endDTD(Augmentations augmentations)
The end of the DTD. |
void |
endExternalSubset(Augmentations augmentations)
The end of the DTD external subset. |
void |
endParameterEntity(java.lang.String name,
Augmentations augmentations)
This method notifies the end of a parameter entity. |
void |
externalEntityDecl(java.lang.String name,
XMLResourceIdentifier identifier,
Augmentations augmentations)
An external entity declaration. |
XMLDTDSource |
getDTDSource()
|
void |
ignoredCharacters(XMLString text,
Augmentations augmentations)
Characters within an IGNORE conditional section. |
void |
internalEntityDecl(java.lang.String name,
XMLString text,
XMLString nonNormalizedText,
Augmentations augmentations)
An internal entity declaration. |
void |
notationDecl(java.lang.String name,
XMLResourceIdentifier identifier,
Augmentations augmentations)
A notation declaration |
void |
processingInstruction(java.lang.String target,
XMLString data,
Augmentations augmentations)
A processing instruction. |
void |
setDTDSource(XMLDTDSource source)
|
void |
startAttlist(java.lang.String elementName,
Augmentations augmentations)
The start of an attribute list. |
void |
startConditional(short type,
Augmentations augmentations)
The start of a conditional section. |
void |
startDTD(XMLLocator locator,
Augmentations augmentations)
The start of the DTD. |
void |
startExternalSubset(XMLResourceIdentifier identifier,
Augmentations augmentations)
The start of the DTD external subset. |
void |
startParameterEntity(java.lang.String name,
XMLResourceIdentifier identifier,
java.lang.String encoding,
Augmentations augmentations)
This method notifies of the start of a parameter entity. |
void |
textDecl(java.lang.String version,
java.lang.String encoding,
Augmentations augmentations)
Notifies of the presence of a TextDecl line in an entity. |
void |
unparsedEntityDecl(java.lang.String name,
XMLResourceIdentifier identifier,
java.lang.String notation,
Augmentations augmentations)
An unparsed entity declaration. |
| Field Detail |
public static final short CONDITIONAL_INCLUDE
CONDITIONAL_IGNORE
public static final short CONDITIONAL_IGNORE
CONDITIONAL_INCLUDE
| Method Detail |
public void startDTD(XMLLocator locator, Augmentations augmentations) throws XNIException
locator
- The document locator, or null if the document
location cannot be reported during the parsing of
the document DTD. However, it is strongly
recommended that a locator be supplied that can
at least report the base system identifier of the
DTD.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void startParameterEntity(java.lang.String name, XMLResourceIdentifier identifier, java.lang.String encoding, Augmentations augmentations) throws XNIException
name
- The name of the parameter entity.identifier
- The resource identifier.encoding
- The auto-detected IANA encoding name of the entity
stream. This value will be null in those situations
where the entity encoding is not auto-detected (e.g.
internal parameter entities).augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void textDecl(java.lang.String version, java.lang.String encoding, Augmentations augmentations) throws XNIException
Note: This method is only called for external parameter entities referenced in the DTD.
version
- The XML version, or null if not specified.encoding
- The IANA encoding name of the entity.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void endParameterEntity(java.lang.String name, Augmentations augmentations) throws XNIException
name
- The name of the parameter entity.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void startExternalSubset(XMLResourceIdentifier identifier, Augmentations augmentations) throws XNIException
identifier
- The resource identifier.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void endExternalSubset(Augmentations augmentations) throws XNIException
augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void comment(XMLString text, Augmentations augmentations) throws XNIException
text
- The text in the comment.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by application to signal an error.public void processingInstruction(java.lang.String target, XMLString data, Augmentations augmentations) throws XNIException
Typically, a processing instruction's data will contain a series of pseudo-attributes. These pseudo-attributes follow the form of element attributes but are not parsed or presented to the application as anything other than text. The application is responsible for parsing the data.
target
- The target.data
- The data or null if none specified.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void elementDecl(java.lang.String name, java.lang.String contentModel, Augmentations augmentations) throws XNIException
name
- The name of the element.contentModel
- The element content model.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void startAttlist(java.lang.String elementName, Augmentations augmentations) throws XNIException
elementName
- The name of the element that this attribute
list is associated with.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void attributeDecl(java.lang.String elementName, java.lang.String attributeName, java.lang.String type, java.lang.String[] enumeration, java.lang.String defaultType, XMLString defaultValue, XMLString nonNormalizedDefaultValue, Augmentations augmentations) throws XNIException
elementName
- The name of the element that this attribute
is associated with.attributeName
- The name of the attribute.type
- The attribute type. This value will be one of
the following: "CDATA", "ENTITY", "ENTITIES",
"ENUMERATION", "ID", "IDREF", "IDREFS",
"NMTOKEN", "NMTOKENS", or "NOTATION".enumeration
- If the type has the value "ENUMERATION" or
"NOTATION", this array holds the allowed attribute
values; otherwise, this array is null.defaultType
- The attribute default type. This value will be
one of the following: "#FIXED", "#IMPLIED",
"#REQUIRED", or null.defaultValue
- The attribute default value, or null if no
default value is specified.nonNormalizedDefaultValue
- The attribute default value with no normalization
performed, or null if no default value is specified.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void endAttlist(Augmentations augmentations) throws XNIException
augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void internalEntityDecl(java.lang.String name, XMLString text, XMLString nonNormalizedText, Augmentations augmentations) throws XNIException
name
- The name of the entity. Parameter entity names start with
'%', whereas the name of a general entity is just the
entity name.text
- The value of the entity.nonNormalizedText
- The non-normalized value of the entity. This
value contains the same sequence of characters that was in
the internal entity declaration, without any entity
references expanded.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void externalEntityDecl(java.lang.String name, XMLResourceIdentifier identifier, Augmentations augmentations) throws XNIException
name
- The name of the entity. Parameter entity names start
with '%', whereas the name of a general entity is just
the entity name.identifier
- An object containing all location information
pertinent to this external entity.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void unparsedEntityDecl(java.lang.String name, XMLResourceIdentifier identifier, java.lang.String notation, Augmentations augmentations) throws XNIException
name
- The name of the entity.identifier
- An object containing all location information
pertinent to this unparsed entity declaration.notation
- The name of the notation.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void notationDecl(java.lang.String name, XMLResourceIdentifier identifier, Augmentations augmentations) throws XNIException
name
- The name of the notation.identifier
- An object containing all location information
pertinent to this notation.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void startConditional(short type, Augmentations augmentations) throws XNIException
type
- The type of the conditional section. This value will
either be CONDITIONAL_INCLUDE or CONDITIONAL_IGNORE.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.CONDITIONAL_INCLUDE
,
CONDITIONAL_IGNORE
public void ignoredCharacters(XMLString text, Augmentations augmentations) throws XNIException
text
- The ignored text.augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void endConditional(Augmentations augmentations) throws XNIException
augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void endDTD(Augmentations augmentations) throws XNIException
augmentations
- Additional information that may include infoset
augmentations.XNIException
- Thrown by handler to signal an error.public void setDTDSource(XMLDTDSource source)
public XMLDTDSource getDTDSource()
|
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User {{user.username}} informations
Username:
Full name:
eMail
Synchronize user data with the Identity Provider
Save
Saved!
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Oops, couldn't save!
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Key:
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Generate new API key


This page details the Player Settings specific to Android. A description of the general Player Settings can be found here.
| Property: | Function: |
|---|---|
| Orientation | |
| Default Orientation | The game’s screen orientation. The options are Portrait (home button at the bottom), Portrait Upside Down (home button at the top, Android 2.3+), Landscape Left (home button on the right side) and Landscape Right (home button on the left side, Android 2.3+). |
| Allowed Orientations for Auto Rotation | |
| Allowed Orientations for Auto Rotation | (Only visible when the Default Orientation is set to Auto Rotation.) |
| Portrait | Allow portrait orientation. |
| Portrait Upside Down | Allow portrait upside down orientation. |
| Landscape Right | Allow landscape right orientation (ie, home button on the left side). |
| Landscape Left | Allow landscape left orientation (home button is on the right side). |
| Other | |
| Use 32-bit Display Buffer | Specifies if Display Buffer should be created to hold 32-bit color values (16-bit by default). Use it if you see banding, or need alpha in your ImageEffects, as they will create RTs in same format as Display Buffer. Not supported on devices running pre-Gingerbread OS (will be forced to 16-bit). |
| Disable Depth and Stencil | Should the depth and stencil buffers be disabled? |
| Show Loading Indicator | The type of loading progress indicator that should be shown. Options are Don’t Show, Large, Inversed Large, Small and Inversed Small. |
| Property: | Function: |
|---|---|
| Override for Android | Check if you want to override the default icon with a custom one for Android. The icon images at various different sizes can be dragged into the appropriate squares. |
| Enable Android Banner | Enables a custom banner for Android T.V builds |
| Property: | Function: |
|---|---|
| Virtual Reality Splash Screen (Pro-only feature) | Specifies the texture that should be used for the Android splash screen on a Virtual Reality Application. |
| Android Splash Screen (Pro-only feature) | Specifies the texture that should be used for the Android splash screen. The standard size for the splash screen image is 320x480. |
| Splash Scaling | Specifies how the splash image will be scaled to fit the device’s screen. The options are Center (only scale down), Scale to Fit (letter-boxed) and Scale to Fill (cropped). |
See also Unity Splash Screen settings.
| Property: | Function: |
|---|---|
| Rendering | |
| Rendering Path | The rendering path enabled for the game. |
| Automatic Graphics API | Allows you to select which graphics API is used. When checked, Unity will include Metal, and GLES2 as a fallback for devices where Metal is not supported. When unchecked, you can manually pick and reorder the graphics APIs. Manually picking just one API will adjust your app’s info.plist which will result in appropriate app store restrictions. |
| Multithreaded Rendering | Enables multithreaded rendering. |
| Static Batching | Set this to use Static batching on your build (enabled by default). |
| Dynamic Batching | Set this to use Dynamic Batching on your build (enabled by default). |
| GPU Skinning | Should DX11/ES3 GPU skinning be enabled? |
| Virtual Reality Supported | Enable this if your application is a virtual reality application. |
| Protect Graphics Memory | Enable this to force the graphics buffer to be displayed only through a hardware-protected path. |
| Identification | |
| Bundle Identifier | The string used in your provisioning certificate from your Apple Developer Network account(This is shared between iOS and Android) |
| Version* | Specifies the build version number of the bundle, which identifies an iteration (released or unreleased) of the bundle. The version is specified in the common format of a string containing numbers separated by dots (eg, 4.3.2). (This is shared between iOS and Android.) |
| Bundle Version Code | An internal version number. This number is used only to determine whether one version is more recent than another, with higher numbers indicating more recent versions. This is not the version number shown to users; that number is set by the versionName attribute. The value must be set as an integer, such as “100”. You can define it however you want, as long as each successive version has a higher number. For example, it could be a build number. Or you could translate a version number in “x.y” format to an integer by encoding the “x” and “y” separately in the lower and upper 16 bits. Or you could simply increase the number by one each time a new version is released. |
| Minimum API Level | Minimum API version required to support the build. |
| Configuration | |
| Scripting Backend | Allows you to select between IL2CPP and Mono2x scripting backends. The default is Mono2x. |
| Disable HW Statistics | By default, Unity Android apps send anonymous HW statistics to Unity so we can provide you with aggregated information to help you make decisions as a developer. These stats can be found at (http://stats.unity3d.com/)[http://stats.unity3d.com/]. Checking this option disables the sending of these statistics for your app. |
| Device Filter | Limit the game to run only on specific CPUs. |
| Install Location | Specifies application install location on the device (for detailed information, please refer to http://developer.android.com/guide/appendix/install-location.html). |
| Automatic | Let OS decide. User will be able to move the app back and forth. |
| Prefer External | Install app to external storage (SD-Card) if possible. OS does not guarantee that will be possible; if not, the app will be installed to internal memory. |
| Force Internal | Force app to be installed into internal memory. User will be unable to move the app to external storage. |
| Internet Access | When set to Require, will enable networking permissions even if your scripts are not using this. Automatically enabled for development builds. |
| Write Access | When set to External (SDCard), will enable write access to external storage such as the SD-Card. Automatically enabled for development builds. |
| Android TV Compatibility | If enabled, checks the game for Android T.V compatibility. |
| Android Game | If enabled, built APK will be marked as a game rather than a regular app. |
| Android Gamepad Support Level | This allows you to define the level of support your application allows for a gamepad. The options are Works with D - Pad, Supports Gamepad and Requires Gamepad. |
| Scripting Define Symbols | Custom compilation flags (see the platform dependent compilation page for details). |
| Optimization | |
| Api Compatibility Level | Specifies active .NET API profile. See below. |
| .Net 2.0 | .Net 2.0 libraries. Maximum .net compatibility, biggest file sizes |
| .Net 2.0 Subset | Subset of full .net compatibility, smaller file sizes |
| Prebake Collision Meshes | Should collision data be added to meshes at build time? |
| Preload Shaders | Should shaders be loaded when the player starts up? |
| Preloaded Assets | An array of assets to be loaded when the player starts up. |
| Stripping Level | Options to strip out scripting features to reduce built player size (This setting is shared between iOS and Android Platforms, and is available with the Mono scripting backend only.) |
| Disabled | No reduction is done. |
| Strip Assemblies | Level 1 size reduction. |
| Strip ByteCode (iOS only) | Level 2 size reduction (includes reductions from Level 1). |
| Use micro mscorlib | Level 3 size reduction (includes reductions from Levels 1 and 2). |
| Strip Engine Code | Enable code stripping. (This setting is only available with the IL2CPP scripting backend.) |
| Enable Internal profiler | Enable this if you want to get feedback from your device while testing your projects. So adb logcat prints logs from the device to the console (only available in development builds). |
| Vertex Compression | Select which vertex channels should be compressed. Compression can save memory and bandwidth but precision will be lower. |
| Optimize Mesh Data | Remove any data from meshes that is not required by the material applied to them (tangents, normals, colors, UV). |
| Logging | Enable different logging types (see the StackTraceLogType page for details). |
You can choose your mono api compatibility level for all targets. Sometimes a 3rd party .net dll will use things that are outside of the .net compatibility level that you would like to use. In order to understand what is going on in such cases, and how to best fix it, get “Reflector” on windows.
| Property: | Function: |
|---|---|
| Keystore | |
| Use Existing Keystore / Create New Keystore | Use this to choose whether to create a new Keystore or use an existing one. You can use the Browse Keystore button to select a Keystore from the filesystem. |
| Keystore password | Password for the Keystore. |
| Confirm password | Password confirmation (only enabled if the Create New Keystore option is chosen). |
| Key | |
| Alias | Key alias. |
| Password | Password for key alias. |
| Split Application Binary | Flag to split the application into expansion files. Useful only with Google Play Store when the finished build exceeds 50MB. |
Note that for security reasons, Unity will save neither the keystore password nor the key password. Also, note that the signing must be done from Unity’s player settings - using jarsigner will not work. The unsigned debug keystore is located by default at ~/.android/debug.keystore
on OS X and %USERPROFILE%\.android\debug.keystore
on Windows.
The Bundle Identifier string is the unique name of your application when published to the Android Market and installed on the device. The basic structure of the identifier is com.CompanyName.GameName, and can be chosen arbitrarily. In Unity this field is shared with the iOS Player Settings for convenience.
Most games don’t use all the functionality of the provided dlls. With this option, you can strip out unused parts to reduce the size of the built player on Android devices.


API Documentation ➤ Positioning tooltips
Positioning tooltips
tip.direction(direction)
Sets the position of a tooltip relative to a target element (except for mt
which denotes placement of the tooltip at the mousetip).
direction
can be n
, s
, e
, w
, nw
, ne
, sw
, se
, or mt
. The direction will also automatically be included as a classname
on the tooltip element which allows for different style hooks based on the direction.
tip.direction('n') // Position the tooltip to the top of a target element
tip.direction('s') // Position the tooltip to the bottom of a target element
tip.direction('e') // Position the tooltip to the right of a target element
tip.direction('w') // Position the tooltip to the left of a target element
Changing the direction programatically
tip.direction(function(d) {
if(d == 'california') return 'w'
if(d == 'new york') return 'e'
})
tip.offset([values])
Offset a tooltip relative to its calculated position. Offset is computed from
[top, left]
.
If you want to draw extenders on tooltips, use this method to offset the tooltip enough in the desired direction so the extender doesn’t overlap the target element.
tip.offset([10, -10])
Callbacks are also supported for dynamic positioning. The following example will center tip placement within the bounding box of the target element.
tip.offset(function() {
return [this.getBBox().height / 2, 0]
})


This is a city-scale agent-based simulator, built to study the spread of COVID-19 in an Indian
city.
The simulator is released as
open-source software here.
Details of our implementation can be found
here.
The simulator creates a smaller scale city with 100,000 agents distributed across its
municipal wards. The reduced size is so that it can run on your browser.
The population distribution,
employed fraction, age distribution, and household size distribution are based on
the 2011 census data. Agents are assigned to households, schools or workplaces, and
community spaces. The epidemic then spreads in a stochastic fashion based on meetings
that happen in the interaction spaces in our synthetic city.
Choose one of the implemented interventions and see how the epidemic evolves.
A disclaimer: This tool is to help you understand the effectiveness of social distancing
interventions
related to COVID-19.
The simulator's outputs should not be used for medical diagnostic, prognostic or treatment
purposes or
for guidance on personal travel plans.
Note: since the simulator runs in a client browser, it may run slower in your mobile device
as compared to
a laptop/desktop


|
MRSL Motion Primitive Library
1.2
A motion primitive library for generating trajectory for mobile robots
|
Go to the source code of this file.
Classes | |
| class | Primitive1D |
| Primitive1D class. More... | |
| class | Primitive< Dim > |
| Primitive class. More... | |
Typedefs | |
| typedef Primitive< 2 > | Primitive2D |
| Primitive for 2D. | |
| typedef Primitive< 3 > | Primitive3D |
| Primitive for 3D. | |
Functions | |
| template<int Dim> | |
| bool | validate_primitive (const Primitive< Dim > &pr, decimal_t mv=0, decimal_t ma=0, decimal_t mj=0, decimal_t myaw=0) |
| Check if the max velocity magnitude is within the threshold. More... | |
| template<int Dim> | |
| bool | validate_xxx (const Primitive< Dim > &pr, decimal_t max, Control::Control xxx) |
| Check if the max velocity magnitude is within the threshold. More... | |
| template<int Dim> | |
| bool | validate_yaw (const Primitive< Dim > &pr, decimal_t my) |
| Check if the successor goes outside of the fov. More... | |
| template<int Dim> | |
| void | print (const Primitive< Dim > &p) |
| Print all coefficients in primitive p. | |
| template<int Dim> | |
| void | print_max (const Primitive< Dim > &p) |
| Print max dynamic infomation in primitive p. | |
Primitive classes.
| bool validate_primitive | ( | const Primitive< Dim > & | pr, |
| decimal_t | mv = 0 , |
||
| decimal_t | ma = 0 , |
||
| decimal_t | mj = 0 , |
||
| decimal_t | myaw = 0 |
||
| ) |
Check if the max velocity magnitude is within the threshold.
| mv | is the max threshold for velocity |
| ma | is the max threshold for acceleration |
| mj | is the max threshold for jerk |
| myaw | is the max threshold for yaw |
Use L1 norm for the maximum
| bool validate_xxx | ( | const Primitive< Dim > & | pr, |
| decimal_t | max, | ||
| Control::Control | xxx | ||
| ) |
Check if the max velocity magnitude is within the threshold.
| mv | is the max threshold |
Use L1 norm for the maximum


Returns all members of the specified dimension or layer.
Syntax
dimension.Members | Members ( dimension )
layer.Members | Members ( layer )
Example
This example focuses on the following part of the Sample Basic outline:
The following expression:
{([Market].members)}
returns the following set, which includes all descendant members of the Market dimension:
{ Market, [New York], Massachusetts, Florida, Connecticut, [New Hampshire], East, California, Oregon, Washington, Utah, Nevada, West, Texas, Oklahoma, Louisiana, [New Mexico], South, Illinois, Ohio, Wisconsin, Missouri, Iowa, Colorado, Central }
The following expression:
{([Market].levels(1).members)}
returns the following set, which includes one level of descendant members of the Market dimension:
{East, West, South, Central}
The following query assumes that level 1 of the Market dimension has an alias of Region:
Select {( [Market].[Region].members ) } on columns from Sample.Basic
This query returns the following grid:
| East | West | South | Central |
| 24161 | 29861 | 13238 | 38262 |


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abbr
element tests
Published:
June 9th, 2019
abbr
with
title
CSS
abbr
with
title
within a paragraph
I like
CSS
abbr
within a paragraph
HTML
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with
aria-label
within a paragraph
HTML


Purpose
This functions calculates the average of each input
vector during a specified time interval
Description
For a time interval the function saves the input values and calculates at the
end of the time interval the average. This average and the actual time is then put out, until the next average calculation.
Whenever calculating the average, an output signal is set from 0 to 1. With the
enabling signal input, you can control, when the average is calculated. Its also possible to set the time interval that way, that
a new time interval is started every full hour. The block has no internal
clock, so the user can connect simulation or system time to the time input.
Inputs:
Outputs:
Parameters and Dialog Box


Soft-Index File Store
Recently, Infinispan got a new local file-based cache store, called Soft-Index File Store. Why have we created just another cache store, what problems is it solving, what are its limitations and how is it designed?
-
Single File Store is a well performing cache store, but it stores all keys in-memory; that limits the number of keys you can store. File fragmentation could be even more of an issue: if you store larger and larger values (that happens quite a lot, as users e.g. add stuff into their shopping carts), the space is not reused and instead the entry is appended at the end of the file. The space (now empty) is reused only if you write entry that can fit there. Also, even if you remove all entries from the cache, the file won’t shrink, and neither won’t be de-fragmented.
LevelDB uses quite well performing Google’s library written in native code. The major drawback is the native code - if LevelDB has a bug that ends in segfault, whole JVM crashes, bringing you application server down.
Our new Soft Index File Store is pure Java implementation that tries to get around Single File Store’s drawbacks by implementing a variant of B+ tree that is cached in-memory using Java’s soft references - here’s where the name Soft Index File Store comes from. This B+ tree (called Index) is offloaded on filesystem to single file: in fact, this has theoretically similar problems with fragmentation as Single File Store - but in practice it shouldn’t cause such problems. This index file does not need to be persisted - it is purged and rebuilt when the cache store restarts, its purpose is only offloading.
The data that should be persisted are stored in a set of files that are written in append-only way - that means that if you store this on conventional magnetic disk, it does not have to seek when writing a burst of entries. It is not stored in a single file but in a set of files. When any of these files drops below 50% of usage (the entries are marked as removed or overwritten), the file starts being collected, moving live entries into another file and in the end removing the old file from disk.
Most of the in-memory structures in Soft Index File Store are bounded, therefore you don’t have to be afraid of OOMEs. You can also configure the limits for concurrently open files as well (so that you don’t run out of file descriptors).
How to configure SIFS
The configuration is no different from regular cache store:
Implementation details
The Index does not use single file, in fact it can be split into multiple segments. That’s because the algorithm updating this B+ tree is designed as single writer - multiple readers, but that could make the writer thread (called 'Index Updater') the bottleneck. Therefore, you can set how many segments should the Index be split into (according to keys' hashCode()).
Each node in the Index stores 'prefix' of all keys (or rather the serialized forms) used in the node in order to reduce the space required for the node. This comes with the assumption that the prefixes are often similar (e.g. when you use key "user000001" and "user000002"). If you can change how the keys are serialized, it is encouraged to move the changing part of the key to the end of the serialized data.
The data are written by single thread as well, the 'Log Appender'. There’s no reason to let threads that access the cache store compete over file-system - Log Appender queues the write results, writes them into the file and wakes up the waiting thread. There are 2 possibly unnecessary context-switches, but in the original design we wanted to allow the write request to return only after the data have been fsynced. By batching the writes, Log Appender allows this as a configuration option - then you can be sure that the data are already on disk when the call returns.
When the entry is modified, the Index needs to be updated. The request is sent to Index Updater via bounded queue and the newest entry location is stored in Temporary Table until this is stored in the Index. The updated nodes are eventually offloaded onto disk in this way.
Known limitations
Size of a node in the Index is limited, by default it is 4096 bytes, though it can be configured. This size also limits the key length (or rather the length of the serialized form): you can’t use keys longer than size of the node - 15 bytes. Moreover, the key length is stored as 'short', limiting it to 32767 bytes. There’s no way how you can use longer keys - SIFS throws an exception when the key is longer after serialization.
When entries are stored with expiration, SIFS does not discover the a file is full of expired entries and the compaction of old data files may not be started ever (method AdvancedStore.purgeExpired() is not implemented). This can lead to excessive file-system space usage.
Future work
What we need to do know is to benchmark SIFS in many configurations and set the optimal values as defaults. However, we run mostly synthetic benchmarks - and that’s where you can help. Let’s play with Soft Index File Store a bit and tell us what configuration works best for you!
For storing large keys, building the B+ tree of hashCodes could perform better that storing the whole keys, though it would need additional handling for collisions. Tell us what keys do you use, please!
Currently, each index update needs to be eventually stored, and that means one or more writes into the file-system even when this is not necessary. In the future, we might try to use phantom references instead of soft references to write the Index only when it needs to release some memory. However, this requires a lot of further work, so test SIFS today and let us now how do you like it!


A brief History..
We used to edit website on a single server
Webistes used to be static html files with static datas
And then, we started to share code between devs with USB keys
Now every Apps on the web are incredibly dynamic and infrastructures needed are even more complicated
What we need..
High Avaibility
High Velocity
Security Survey: Infra, Communication & Software Fixes
Frequent deployment that match business needs
Typical skeleton of nowadays apps
At least 2 databases server for data redundency
At least 2 binary app server for HA
At least 2 reverse proxy for Load Balancing
At least 2 repl. LDAP servers to store customer infos
All of these in at least 2 geograhical location
Secure connections to needed services and apps
Goal is to be up to date, secure, and up 99,9% of time
DevOps philosophy
IAS > Infrastrucure as Code
Versionning and Readability
Reproductible environments
No manual action on servers
Technology monitoring
Listen carefully to app dev needs
DevOps Tools
Provisionners : Conf & Packages Management
- Puppet
- Salt
- Chef ( and even more )
App dependency managers
- npm | yarn -> Javascript
- maven -> Java
- composer -> PHP
DevOps Tools
Job Schedulers
- Crontabs
- Rundeck : Centralized and capable of delegating
Orchestrators
- Salstack
- Ansible
- Rundeck
- Apache Brooklyn
Advanced Orchestrator Features
- Job with Complex Workflow definition
- Dispatched to several nodes
- Parrallel / Sequential / Hybrid
DevOps Tools
Monitoring & Metrics
- Nagios
- Icinga | Grafana
- Zabbix
- Netdata + InfluxDB + Grafana
Centralized Log Management
- ELK -> Elastic | Logstash | Kibana
Roadmap
clear the existing debt
- Indoor Platform
- Managed Web Projects
Ameliorate Infrastructure
- Orchestration
- Monitoring
- Logs Centralization
Ameliorate Infrastructure
- New Automating tools Integration
- Containerization (Docker/Jail)
Propagate to other Environments
- Existing ones
- Cloud IAAS (AWS|GCP)


Middleware to make internal requests and forward requests internally.
When applied, several keys are added to the environment that will allow you to trigger recursive redirects and forwards.
- paste.recursive.include:
- When you call environ['paste.recursive.include'](new_path_info) a response will be returned. The response has a body attribute, a status attribute, and a headers attribute.
- paste.recursive.script_name:
- The SCRIPT_NAME at the point that recursive lives. Only paths underneath this path can be redirected to.
- paste.recursive.old_path_info:
- A list of previous PATH_INFO values from previous redirects.
Raise ForwardRequestException(new_path_info) to do a forward (aborting the current request).
A WSGI middleware that allows for recursive and forwarded calls. All these calls go to the same ‘application’, but presumably that application acts differently with different URLs. The forwarded URLs must be relative to this container.
Interface is entirely through the paste.recursive.forward and paste.recursive.include environmental keys.
Used to signal that a request should be forwarded to a different location.
Basic usage (must have RecursiveMiddleware present) :
from paste.recursive import ForwardRequestException
def app(environ, start_response):
if environ['PATH_INFO'] == '/hello':
start_response("200 OK", [('Content-type', 'text/plain')])
return ['Hello World!']
elif environ['PATH_INFO'] == '/error':
start_response("404 Not Found", [('Content-type', 'text/plain')])
return ['Page not found']
else:
raise ForwardRequestException('/error')
from paste.recursive import RecursiveMiddleware
app = RecursiveMiddleware(app)
If you ran this application and visited /hello you would get a Hello World! message. If you ran the application and visited /not_found a ForwardRequestException would be raised and the caught by the RecursiveMiddleware. The RecursiveMiddleware would then return the headers and response from the /error URL but would display a 404 Not found status message.
You could also specify an environ dictionary instead of a url. Using the same example as before:
def app(environ, start_response):
... same as previous example ...
else:
new_environ = environ.copy()
new_environ['PATH_INFO'] = '/error'
raise ForwardRequestException(environ=new_environ)
Finally, if you want complete control over every aspect of the forward you can specify a middleware factory. For example to keep the old status code but use the headers and resposne body from the forwarded response you might do this:
from paste.recursive import ForwardRequestException
from paste.recursive import RecursiveMiddleware
from paste.errordocument import StatusKeeper
def app(environ, start_response):
if environ['PATH_INFO'] == '/hello':
start_response("200 OK", [('Content-type', 'text/plain')])
return ['Hello World!']
elif environ['PATH_INFO'] == '/error':
start_response("404 Not Found", [('Content-type', 'text/plain')])
return ['Page not found']
else:
def factory(app):
return StatusKeeper(app, status='404 Not Found', url='/error')
raise ForwardRequestException(factory=factory)
app = RecursiveMiddleware(app)


--- layout: default title: A Big Victory for Democracy! permalink: /wedidit/ --- {% capture content %}
MAYDAY.US activists helped elect Jamie Raskin, the only small-donor candidate in the most expensive congressional primary race in U.S. history!
Chip in to make more wins possible with our new grassroots strategy.
Prefer to donate by check?
Mayday PAC
P.O. Box 75357
Washington, DC 20013


| DOSE: |
1 line |
oral |
PCP |
(powder / crystals) |
This is a report of taking way too much PCP, back in the old days. I was 16, and I'd been taking LSD and PCP on the weekends for a year or so. Sometimes we would combine them, but on this night there was only the dust. We would save the acid for the next day.
My brother worked at a big factory, and on Fridays he would bring some dust home for us. We would split up the powder and either put the 'line' (I don't remember that word being in use yet then) on our tongues and wash it down with some apple juice or, after tasting it a few too many times, we would usually dissolve it in the apple juice.
The time was that Pink Floyd The Wall had just been released, and we had only listened too it a few times. On this weekend, the little piles looked a lot bigger than before, and it was more white than the usual off yellow. I remember us talking about that for a minute, but of course we just decided that it must not be very strong, so we took it down with the apple juice. It was always the case that my brother would take his and then I would move over and take my little pile of powder off the table. So there was maybe a minute, at most two or three, between the two doses. This becomes significant later.
After taking it, on an empty stomach, we knew we had 20 or 40 minutes to wait, and we usually just went about whatever. Rolling Joints - we knew we wouldn't be able to do this later. Finding albums to listen to.  It took me maybe 10 minutes to do this, and when I got down to the basement, my brother was in dire shape, falling out of his chair in front of the stereo. I looked at him, and all I can remember was thinking, 'Oh shit!'
The rest of the night was a blurr, I know I fell face forward onto the bed and laid there for at least an hour. My brother thought I was dead and pulled me up and got me walking, but we both were just too stoned to function. I remember that the corner of the room in the basement looked like someone had pulled it way out of perspective, like it stretched for miles, and every thing would happen, and then it would happen again and again, and I was standing knee-deep in this swirling goo and the same song was playing over and over again. I didn't have any recollection of anything, especially having taken any drug. I couldn't make any sense out of anything, it just swirled around me. At first I tried to fight it, I thought something was seriously wrong. No-one can really exist like this, with no memory and no existance, and everything happening again and again. So, I decided I was dead.
It wasn't so bad really, once you let go, just the echoes and the warm swirly feeling. I regretted that I couldn't seem to move, and that my brother seemed so concerned, but it was okay.  The whole night was this really fast-paced, sweaty hallucination blur. I think I can't understand it in 'normal' consciousness. Every now and then I'd 'wake up' and my brother would still be sitting there next to the stereo, with an astonished look on his face.  I would just try again to get up and fall back into being dead. All the angles were wrong, and the music sounded like it was coming through a long sewer pipe, and everything was just, well, not real.
It wasn't until daylight was coming in the basement windows - probably at least 6 hours later - that I finally managed to try to talk - I couldn't because my mouth wasn't human and I was just coming back from the dead. Between the hallucinations and the numbness and the dry throat it was like being an alien. It took a while, and after a little bit of wine (Beer fizzes up with the dust) we could communicate enough to turn off the stereo and just stare at each other, eyelids drooping from the anaesthetic, and just wonder what had really just happened.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Get(CurrentTimeUTCMilliseconds)Get ( CurrentTimeUTCMilliseconds ) returns<PHONE_NUMBER>7528 if the time in UTC is 10:25:07.528 PM on 6/3/2015.GetAsTimestamp ( ( Get ( CurrentTimeUTCMilliseconds ) + ( Location::TimeAdjustment * 3600000 ) ) / 1000 ) returns 11/10/2015 1:43:55.304 PM if the time in UTC is 8:43:55:.304 PM on 11/10/2015 and the TimeAdjustment field has a value of -7.


| Interface | Description |
|---|---|
| ArraySet<E> |
A
Set interface enriched with random access methods and a list iterator. |
| LazyIterator<T> |
A lazy iterator that has the capacity to iterate over its range but only compute the actual values when required.
|
| RandomAccessTree |
An interface for a tree, with inclusion and retrieval of valid paths.
|
| RandomAccessTree.GetResult |
An interface for the results of method
RandomAccessTree.get(Iterator) . |
| StackedMap<K,V> |
A Map based on another Map (the base), and storing only the differences between itself and the base.
|
| Class | Description |
|---|---|
| AbstractStackedMap<K,V> |
A partial implementation of
StackedMap . |
| ArrayHashSet<E> |
Analogous to
LinkedHashSet , but with an ArrayList instead of a LinkedList ,
offering the same advantages (random access) and disadvantages (slower addition and removal of elements),
but with the extra advantage of offering an iterator that is actually a ListIterator . |
| BackListIterator<E> |
A list iterator based on another list iterator reversing its direction.
|
| BreadthFirstIterator<T> |
An iterator based on an array of sub-iterators that ranges
over all i-th elements of each sub-iterator before ranging over the (i+1)-th elements.
|
| CartesianProductEnumeration<E> |
A utility class for enumerating over the cartesian product of lists of lists
of elements.
|
| CartesianProductInMapIterator<K,V> |
A iterator over the Cartesian product of the ranges of a map of iterators,
indexed by an arbitrary type K.
|
| CartesianProductIterator<E> |
A iterator over the Cartesian product of the ranges of a list of iterators.
|
| CharactersAsStringsIterator |
An iterator over the characters of a given string.
|
| CloneableFunctionIterator<F,T> |
An extension of
FunctionIterator implementing CloneableIterator . |
| CopyOnWriteArraySet<E> |
A specialization of
CopyOnWriteCollection for ArraySet . |
| CopyOnWriteCollection<E,B extends java.util.Collection<E>> |
A
Collection implementation meant to behave as a copy of a given base B, which must be a Collection type. |
| CopyOnWriteMap<K,V> |
A
Map implementation that directs methods to another map,
which is either a map received at construction, or a copy of it
to a new HashMap made upon the first writing (or potentially writing} operation. |
| DefaultComparator<E extends java.lang.Comparable<E>> |
A default comparator using the
Comparable.compareTo(Object) method of
Comparable objects. |
| DepthFirstIterator<E> |
A facility for creating a depth-first iterator over the subtrees of a
user-defined tree (by default including the root subtree itself, which is the
same as the original tree).
|
| DisjointSets<E> |
A basic implementation of a disjoint-set data structure for maintaining a
collection of disjoint dynamic sets.
|
| EZIterator<E> |
An abstract class meant to make the implementation of iterators easier.
|
| EZIteratorWithNull<E> |
An abstract class meant to make the implementation of iterators easier.
|
| FilterIterator<E> |
An iterator ranging over a base iterator's range but including only those
elements satisfying a condition.
|
| FirstNIterator<T> |
Iterator ranging over the n first elements in the range of another iterator.
|
| FunctionIterator<F,T> |
Iterator ranging over the results of an unary function applied to the
elements of the range of a base iterator.
|
| GeometricSeriesIterator |
Implements an iterator going over a geometric series.
|
| HashMapRandomAccessTree |
An implementation of
RandomAccessTree with HashMaps. |
| HasNext<T> |
A
Predicate that tests if a given iterator when applied
hasNext() . |
| ImmutableStackedLinkedList<E> |
An implementation of an immutable
List
sharing elements with a pre-existing given list. |
| InPlaceSubKTuplesIterator<E> |
An iterator over sub-tuples of k integers from 0 to n - 1, using the same collection instance to store all sub-tuples.
|
| InPlaceSubsetsOfKIterator<E> |
An iterator over subsets of k integers from 0 to n - 1, using the same collection instance to store all subsets.
|
| IntegerArithmeticSeriesIterator |
Implements an iterator going over an arithmetic series.
|
| IntegerGeometricSeriesIterator |
A geometric series rounded to the next integer.
|
| IntegerIterator |
An iterator over a given integer interval
[start, end[ (that is, with inclusive start and exclusive end)
with a specified increment over the interval. |
| LazyIteratorAdapter<F,T> | |
| LexicographicComparator<T> |
A comparator lexicographically composed by a list of comparators.
|
| LexicographicComparison<T extends java.lang.Comparable> |
A generic implementation of lexicographical comparison using iterators.
|
| ManyToManyRelation<A,B> |
Represents a many-to-many relation with amortized constant-time search for
the tuples of a given element.
|
| MapWrapper<K,V> |
A Map that wraps a given map.
|
| NestedIterator<E> |
An iterator that does not range over its elements, but over ranges of
sub-iterators computed from its elements.
|
| NIterator<E> |
An iterator adapter that runs up to a given number of iterations.
|
| NLazyIterator<E> |
A lazy iterator adapter that runs up to a given number of iterations.
|
| NonDeterministicIterator<E> |
An abstract iterator ranging over elements on the leaves of a virtual tree.
|
| PairIterator<T1,T2> |
A PairIterator is constructed on two iterators, and iterates over pairs of
their next elements until one of them runs out of elements.
|
| PairOfElementsInListIterator<E> |
An iterator over pairs of distinct elements in an
List ,
such that each pair's first element occurs before the second in the list. |
| PermutationIterator<E> |
An iterator over permutations of a given ArrayList.
|
| PredicateIterator<E> |
Iterates over range of base iterator, only letting pass elements satisfying a
predicate.
|
| StackedHashMap<K,V> |
An implementation of
AbstractStackedMap using HashMap and HashSet. |
| StackedLinkedList<E> |
An implementation of
List
sharing elements with a pre-existing given list. |
| StackedTreeMap<K,V> |
An implementation of
AbstractStackedMap using TreeMap and TreeSet. |
| StringIterator |
An iterator over the characters of a given string.
|
| SubKTuplesIterator<E> |
An iterator over k-tuples of a given ArrayList.
|
| SubRangeIterator<T> |
An iterator over a sub-range of a base iterator, from the
first
-th to the (last-1) -th element. |
| SubsetsOfKIterator<E> |
An iterator over subsets of k elements of a given ArrayList.
|
| ToStringComparator<T> |
A comparator returning the same as the comparison of the string
representations of objects.
|
| ZipIterator |
A ZipIterator is constructed on an array of iterators, and iterates over
lists of their next elements until one of them runs out of elements.
|


Welcome again to Politico App. Contribute to a nation by giving it good leadership. Politico
enables citizens to give their mandate to politicians running for different government offices
while building trust in the process through transparency.
|
Due to possibility of posponing
government programs by obstacles like climate conditions or traffic jam we have this app to help us to continue
government programs in everyone comfortable condition. This app is evidence of transparence and democracy also in our nation because it has way
of showing how politician are being voted
|


{% extends "layout.html" %} {% set title = 'Settings' %} {% set current_page_name = 'settings' %} {% block body %}
Here you can customize how you want to view the {{ project }} documentation. These settings are saved using a cookie on your computer.
{% endblock %}


myMovies Xpress!
= $message ?>
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ePortfolio


--- layout: page title: Tech Blogs order: 2 permalink: /tech/ description: This is the list of all my tech blogs ---
This is the list of all my writing.


The following year, our team, with new members at its total and being motivated from the effort of the previous SBMT team, managed to conquer the
3rd place and 3 awards, sending them to the World Finals of Texas. Unfortunately, without being able to take place (limited budget).


Total Records
Processed Records
Bad Records
Record Ingestion Status
Total Records
Processed Records
Bad Records
Fetch and Store Time
Fetch Time (ms)
Store Time (ms)


My name is danya and I live inside my own world of make believe
I Graguated from nursing school as a stuff midwife and in past i liked my profession but after 1 year of work in the nursing feild
i hate it and i hate pregnent womans , i think im the biggest hater , anyway never mind ,
i'm otaku and i'm obssesed with anime and manga
i hope that i was an anime charecter or 2d girl but you can't break the rules of creation
you can break loops here and in case of stress you can break your own keyboard not mine *-*


{% load i18n %} {% load cradmin_legacy_icon_tags %}
{# Contents is added by the AngularJS directive #} {# Label is added by the AngularJS directive #}


@Documented @Retention(value=SOURCE) @Target(value=METHOD) public @interface Synchronized
@Synchronized
is a safer variant of the synchronized
method modifier.
The annotation can only be used on static and instance methods. It operates similarly to
the synchronized
keyword, but it locks on different objects. When used with
an instance method, the synchronized
keyword locks on this
, but the annotation
locks on a (by default automatically generated) field named $lock
.
If the field does not exist, it is created for you. If you annotate a static method,
the annotation locks on a static field named $LOCK
instead.
If you want, you can create these locks yourself.
The $lock
and $LOCK
fields will not be generated if you create
them yourself. You can also choose to lock on another field, by specifying its name as
parameter to the @Synchronized
annotation. In this usage variant, the lock field
will not be created automatically, and you must explicitly create it yourself.
Rationale: Locking on this
or your own class object can have unfortunate side-effects,
as other code not under your control can lock on these objects as well, which can
cause race conditions and other nasty threading-related bugs.
Example usage:
class SynchronizedExample { private final myLock = new Object()which becomes:@
Synchronized static void greet() { println "world" }@
Synchronized int answerToEverything() { return 42 }@
Synchronized("myLock") void foo() { println "bar" } }
class SynchronizedExample { private static final $LOCK = new Object[0] private final $lock = new Object[0] private final myLock = new Object() static void greet() { synchronized($LOCK) { println "world" } } int answerToEverything() { synchronized($lock) { return 42 } } void foo() { synchronized(myLock) { println "bar" } } }Credits: this annotation is inspired by the Project Lombok annotation of the same name. The functionality has been kept similar to ease the learning curve when swapping between these two tools.
Details: If $lock
and/or $LOCK
are auto-generated, the fields are initialized
with an empty Object[]
array, and not just a new Object()
as many snippets using
this pattern tend to use. This is because a new Object
is NOT serializable, but
a 0-size array is. Therefore, using @Synchronized
will not prevent your
object from being serialized.
public abstract String value


Notebooks
Story: The Rain, in the form of an eland, shot by one of the Early Race of people; and the disasters which followed
The Rain, in the form of an eland, shot by one of the Early Race of people; and the disasters which followed
Title
The Rain, in the form of an eland, shot by one of the Early Race of people; and the disasters which followed
Collection
Summary
The Rain, in the form of an Eland, shot by one of the early race of people (which preceded the Bushmen in their country). The disasters which follow. By /han≠kass’o (L VIII.-16. 7461 and 7462, 17. 7463-7472). A man of the Early Race hunts the Rain (which was formerly an eland) as it grazes. The next day the people try to roast the meat, but it vanishes on the fire and the Rain traps them in their hut. They become frogs and hop away.
Comments
1) |han≠kass'o heard this story from his mother (|xabbi-an), who he thinks heard it from her mother (≠kammi), 2) p.7462v: |xam words, not translated and written in pencil, 3) This story is found in Books VIII-16 and VIII-17
Contributors
|han≠kass'o (Klein Jantje) (VIII)
Date
16 September 1878 (started and finished)
Categories
The Rain and Rain's water, History (Early Race)
Keywords
rain (the Rain) , rain (its spoor) , rain (was formerly an eland) , rain (created a pond) , rain (on the hunting-ground) , rain (the shooting of) , rain (was shot by a man of the Early Race) , rain (is an eland the people do not eat) , rain (the hunting of) , rain (its meat vanishes and burns away in the fire) , rain (the consequences of eating) , rain (its flesh) , rain (its mist) , rain (transforms people into frogs) , rain (its hut) , rain (its pond) , rain (shuts people into the hut) , rain (its navel) , rain (in the form of an eland) , rain (people try and roast it) , food (the rain's eland is not eaten) , food (the Rain in the form of an eland shot by one of the Early Race) , navel (the rain's) , navel (the Rain in the form of an eland shot by one of the Early Race) , eland (the Rain in the form of) , eland (the rain was formerly) , eland (hunted and shot by a man of the Early Race) , eland (its flesh vanishes and burns away in the fire) , eland (that is not eaten) , eland (people do not eat the rain's eland) , transformation (of people into frogs) , transformation (by the angry rain) , transformation (the Rain in the form of an eland shot by one of the Early Race) , Early Race (or First Bushmen) , Early Race (the Rain in the form of an eland was shot by one of) , hunting (observances) , hunting (of the Rain in the form of an eland by one of the Early Race) , hunting (and rain on the hunting-ground) , frog (the Rain transforms people into) , frog (the Rain in the form of an eland shot by one of the Early Race)
Story Pages
7461-7462, 7463-7472


Seven Worlds, One Planet: Sharks get teeth cleaned by fish with worst job ever
We all know Finding Nemo says ‘fish are friends, not food’ but these little creatures have a death wish on Seven Worlds, One Planet.
On the Australia dedicated episode of the David Attenborough nature documentary, tiny fish are tasked with cleaning a shark’s mouth in the hope and prayer they don’t get eaten in the process.
In the Great Barrier Reef, Grey Reef Sharks are prominent predators to the smaller fish around it – but it turns out that some fish are bonafide hustlers and with a side business in dentistry.
Cleaner wrasse fish clean the teeth for sharks, giving them some pearly white smiles by picking away the debris stuck in their teeth and parasites that have set up home there.
So they get a free meal…on the condition they don’t get eaten in the process.
Talk about a risky business but you’ve got to admire the tenacity of them!
Advertisement Advertisement
In scenes set to air in the episode, the sharks are seen with their mouth wide as two or three wrasse swim in and get to work, before they all head on about their day.
Honestly, how can anyone complain about their line of work again…at least you’re not literally heading in the direction of the belly of the beast!
As it turns out, keeping your teeth in good condition is essential wherever you are in the world (and whoever you are in the world!)
The latest edition of the series covers the most ground yet – with the hundreds of creatures of the massive continent getting touched on in the new addition to the series.
Expect some of the weird and wonderful creatures that inhabit the country, which was mostly left alone for thousands of years before humans inhabited it.
For example, in the jungles we meet a cassowary – one of the most dangerous birds in the world – stands six feet tall.
We’ll also see the secret islands of Australia, where Tasmanian devils run rampant, and then our beloved regular features of the country – kangaroos and wombats.
Seven Worlds, One Planet continues Sundays at 6.15pm on BBC One.
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Classes to See Clearly
07/06/14
Much of programming is an attempt to reduce redundancy while increasing order, and classes are another example. When certain statements are executed many times, we can bundle them into methods to easily repeat the sequence; analogously, when certain methods are called many times for objects that are similar to each other, we can group these objects into one class and let them all have access to a set of methods.
Using data structures and classes to model real-world "things" can be an efficient way to organize our perception of what these things do. Classing real-world things pushes us to consider what things can be categorized together and what common traits they should possess, while modeling processes can be more helpful for understanding an object than reading about it or describing its capabilities.
Investment Class Example
I'll run through a simplistic example from finance/business strategy - considering investments and whether they are worthwhile. Generally an investment requires a cash outflow initially, but will provide cash inflows in future periods. We could simply add up all of the values, but this would ignore our general preference for earning money sooner rather than later. If we are indifferent between receiving $100 today or $105 next year, then we could say that our required rate is 5%, and the "present value" of any future money we receive is the amount of money divided by 1.05. A discounted cash flow (DCF) calculation is where we consider the timing of estimated cash flows and discount future cash flows by our required rate to arrive at a single number that represents the value of all of the cash flows today. After calculating the DCF, a business can make a decision on whether to proceed with a project.
The class "Investment" includes three instance methods, i.e. things that are done with any instance of the class: we can come up with a new investment concept (initialize method), we can decide whether or not to make the investment (proceed? method), and we can calculate the value of the investment (dcf method). None of these are class methods because it would be difficult to decide to proceed with the class of all possible investments - the decision is based on each individual investment's characteristics.
Let's look at each instance method in more detail.
Initialize:
This method requires one argument - an array of cash flows expected from the investment. The method sets practical limits on what argument can be given to create a new investment, which matches real-world conditions. If an empty array is passed in, this represents an absence of cash flows in or out, which would not present any investment decision.
Note that the @ symbol indicates an instance variable - the @cashFlows variable will be accessible by all methods that may be called on an instance of Investment, but they will not be accessible by the entire class of investments. @cashFlows will become an array that represents the sequence of cash flows from the investment, something that is unique to each investment. On the other hand, @@rate is a class variable which will be assigned to every new Investment instance, because a business will always have the same preference on required rate regardless of what investment they choose to make.
DCF:
The #dcf method calculates the discounted cash flow of an investment, translating the array of cash flows into an integer value - in theory, the business should be indifferent between the integer value as an immediate payoff and the cash flows in the array spread out over time. Note that this method uses both the instance variable @cashFlows and the class variable @@rate. In addition, this method uses a local variable value, which is not accessible in other instance methods. Instead, it is created and returned within the confines of the #dcf method.
Proceed?:
The #proceed? method calls another instance method, #dcf, and decides whether to make the investment based on whether it seems to be a net benefit to the business.
So how does this turn out?
We create an object "machine" that can be bought for $100, but will generate income of $25 in the first year, $25 in the second year, etc. With this investment, we can then call the #dcf method to see how much it is worth in terms of today's money, and the answer is -$19. This means that logically, the business should reject this investment. A thorny decision, but made easier when modeled as a class!


Recent activities
Feb 11, 2008
I've started MUDA development blog.
Now activities on MUDA development are posted to the blog, not here. but References are still updated here.
Dec 29, 2007
I'm reading "Efficient Utilization of SIMD Extensions". This paper is a good starting point to survey automatic SIMD vectorization.
According to this papare, automaic SIMD vectorization is roughly separated into 3 layers.
- Symbolic vectorization
- Do vectorization in language or application context level.
- Straight line code vectorization
- Find a coherence in scalar code path and vectorize it?
- Special purpose compiler for vectorized code.
- Custom instruction scheduler and register allocator for vector instruction for fast binary code generation.
Dec 17, 2007
I made MUDA site on Launchpad. https://launchpad.net/muda I'm a newbie on Launchpad, thus just playing with Launchpad so far. I'm considering to use Lauchpad site for some collaboration and managing. (e.g. translation, Q&A, project management)
Dec 11, 2007
Added some references on automatic tuning and code generation.
Dec 10, 2007
Launched MUDA site!
References
Here is some links which is a great help to develop MUDA.
Overall optimization theory
- How to write fast numeric code: A small introduction
- http://spiral.ece.cmu.edu:8080/pub-spiral/abstract.jsp?id=100
- From SPIRAL team.
- The algorithm is most important for optimization. Cache optimization follows. SIMD-ization is last resort(i.e. not so important)
Memory access optimization
Articles
- What every programmer should know about memory
- http://lwn.net/Articles/259710/
- by Ulrich Drepper
- Must read
- Universal Cache Miss Equations for the Memory Hierarchy
- Cache Miss Equations: An Analytical Representation of Cache Misses
- http://citeseer.ist.psu.edu/ghosh97cache.html
- Good model to analyze cache misses.
- Implemented in SUIF
Automatic SIMDization
Articles
- Efficient Utilization of SIMD Extensions
- http://www.ece.cmu.edu/~franzf/papers/ieee-si.pdf
- Franz Franchetti, Stefan Kral, Juergen Lorenz, Christoph W. Ueberhuber. Invited paper
- This paper describes straight line code SIMDization, but can be used as a survey paper for SIMDization.
- Automatic SIMD vectorization
- ftp://ftp.vcpc.univie.ac.at/ projects/aurora/reports/auroratr2004-03.ps.gz
- Jourgen Lorenz, Ph.D thesis
- straight line code SIMDization.
Automatic tuning, code generation
Articles
- A Domain-Specific Language for the Generation of Optimized SIMD-Parallel Assembly Code
- http://www.cas.mcmaster.ca/~anand/papers/preprints.html
- We present a domain-specific language embedded into Haskell that allows mathematicians to formulate novel high-performance SIMD-parallel algorithms for the evaluation of special functions.
- Generative Code Specialisation for High-Performance Monte-Carlo Simulations
- http://www.cse.unsw.edu.au/~dons/papers/SCKCB07.html
- The core tenet is that, given a fixed simulator configuration, a generator in a functional language can produce low-level code that is more highly optimised than a manually implemented generic simulator.
- Written in Haskell. It emits specialized C source code.
Softwares
- FFTW http://www.fftw.org/
- FFT compiler. The compiler is written in OCaml.
- Open sorce
- ATLAS http://math-atlas.sourceforge.net/
- ATLAS have a cache optimizer?
- Open source
- SPIRAL http://www.spiral.net/
- The goal of SPIRAL is to push the limits of automation in software and hardware development and optimization for digital signal processing (DSP) algorithms and other numerical kernels beyond what is possible with current tools.
- Closed source?
- SPL http://polaris.cs.uiuc.edu/~jxiong/spl/ - A Language and Compiler for DSP Algorithms
If you know more, let me know(my mail address can be available in MUDA source)
endOfFile
Page last modified Tue Feb 12 00:34:39 2008.


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|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/experimental/volatility/noarbsabr.hpp>
Public Member Functions | |
| D0Interpolator (Real forward, Real expiryTime, Real alpha, Real beta, Real nu, Real rho) | |
| Real | operator() () const |
Private Member Functions | |
| Real | phi (Real d0) const |
| Real | d0 (Real phi) const |
Private Attributes | |
| const Real | forward_ |
| const Real | expiryTime_ |
| const Real | alpha_ |
| const Real | beta_ |
| const Real | nu_ |
| const Real | rho_ |
| const Real | gamma_ |
| Real | sigmaI_ |
| std::vector< Real > | tauG_ |
| std::vector< Real > | sigmaIG_ |
| std::vector< Real > | rhoG_ |
| std::vector< Real > | nuG_ |
| std::vector< Real > | betaG_ |
Definition at line 140 of file noarbsabr.hpp.
Definition at line 186 of file noarbsabr.cpp.
| Real operator() | ( | ) | const |
Definition at line 321 of file noarbsabr.cpp.
Definition at line 327 of file noarbsabr.cpp.
|
private |
Definition at line 148 of file noarbsabr.hpp.
|
private |
Definition at line 148 of file noarbsabr.hpp.
|
private |
Definition at line 148 of file noarbsabr.hpp.
|
private |
Definition at line 148 of file noarbsabr.hpp.
|
private |
Definition at line 148 of file noarbsabr.hpp.
|
private |
Definition at line 148 of file noarbsabr.hpp.
|
private |
Definition at line 148 of file noarbsabr.hpp.
|
private |
Definition at line 149 of file noarbsabr.hpp.
|
private |
Definition at line 150 of file noarbsabr.hpp.
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private |
Definition at line 150 of file noarbsabr.hpp.
|
private |
Definition at line 150 of file noarbsabr.hpp.
|
private |
Definition at line 150 of file noarbsabr.hpp.
|
private |
Definition at line 150 of file noarbsabr.hpp.


--- meta-title: Browser, device and screen compatibility title: Browser, device and screen compatibility description: Browsers, mobile phones, tablet, screens and ponies you need to support cta: For browser support, aim for content and functionality to be unobstructed on browsers released within the last five years and have JavaScript enabled; this is represents virtually all users of the EMBL-EBI site (in excess of 99.9%). hero-class: hero-building-blocks hero: true filter-nav: false filter-dropdowns: false layout: static pagetype: meta-pattern location: browser-compatibility.html --- {{#markdown}} As a guiding rule, test for compatibility on any browser or device that represents more than 2% of the usage of www.ebi.ac.uk.
Loading...
The below describes how the EMBL-EBI Web Development team analyses and supports the EBI Framework and sites the team maintains, we suggest you use this as a starting point, adapting it for the browsers of your users, and devices you can procure to test on.
For further guidance, reach out to the Web Development team for assistance on how to set up a testing environment.
| Browser | Version(s) | Traffic % |
|---|---|---|
| Chrome | 46, 45, 44 | 40.0% |
| Firefox | 40, 39, 38 | 18.6 |
| Safari | 9, 8, 7.1 | 8.0 |
| IE | 12, 11 | 6.6 |
The mobile and tablet space is highly fragmented with reliable guarantees of support often hard to offer as device maker, browser, and OS version are each a variable in HTML/CSS rendering.
With this in mind, there are three classes of mobile and tablet support:
A synopsis of the ecosystem as of September 2015. This is targeted for a twice annual update, the classification of devices is subject to change if a high need browser or device is identified.
| OS | Traffic | Support level |
|---|---|---|
| Android 4.x | 43.5% | Primary support |
| Android 5.x | 20.4 | Primary support |
| iOS 9.x | 9.5 | Primary support |
| iOS 8.x | 8.1 | Primary support |
| Android 2.x | 3.1 | Best effort |
| Windows Phone | 2.8 | Best effort |
| Browser | Traffic | Support level |
|---|---|---|
| Safari | 40.1% | Primary support |
| Chrome | 30.7 | Primary support |
| Android | 9 | Primary support |
| IE 11 | 6.7 | Best effort |
| UC Browser | 5.1 | Best effort |
| Chrome iOS | 2.7 | Best effort |
Note on tablets: Currently all tablet devices are limited to best effort, as they represent less than 2.5% of traffic (currently at 1.8%).
These devices, browsers, or OS versions have been identified as critical needs.
None currently known.
### Screen sizes Said briefly: on desktop 60% of users can see content above the 670px line. 90% of users can see down to the 600px line.


Multiple Styles Will Cascade into One
In this example, the background color is set inline.
Try experimenting by removing styles


ssp
¶
BC ([path]) |
Bruzual & Charlot 2003/07 SSP Models |
BPASS ([path, nsteps]) |
www.bpass.org.uk |
BPASS2 ([path, nsteps]) |
BPASS v2 |
Ised (path) |
Methods |
SSP ([path]) |
Base class for SSP objects |
rebin_sed (wave_in, sed_in, wave_out) |
Rebin an SED to new wavelength grid with flux density conserved |
BC
¶
-
class
smpy.ssp.
BC
(path='../ssp/bc03/salpeter/lr/')¶ Bases:
smpy.ssp.SSP
Bruzual & Charlot 2003/07 SSP Models
-
__init__
(path='../ssp/bc03/salpeter/lr/')¶
-
BPASS
¶
-
class
smpy.ssp.
BPASS
(path='../ssp/bpass_v1.1/SEDS/', nsteps=3000)¶ Bases:
smpy.ssp.SSP
www.bpass.org.uk Eldridge & Stanway, 2009, MNRAS, 400, 1019
-
__init__
(path='../ssp/bpass_v1.1/SEDS/', nsteps=3000)¶
-
BPASS2
¶
-
class
smpy.ssp.
BPASS2
(path='../ssp/bpass_v1.1/SEDS/', nsteps=3000)¶ Bases:
smpy.ssp.SSP
BPASS v2
www.bpass.org.uk Eldridge & Stanway, 2009, MNRAS, 400, 1019
-
__init__
(path='../ssp/bpass_v1.1/SEDS/', nsteps=3000)¶ Parameters: path : str,
Path to desired subset of BPASS models, should include relevant wildcard to match multiple metallicities.
nsteps : int
Number of wavelength steps in which to interpolate
-
Ised
¶
-
class
smpy.ssp.
Ised
(path)¶ Bases:
object
Methods
read_ised
(filename)This function reads data from Bruzual & Charlot binary format SSP files and returns the necessary data in an array The input files should be ‘.ised’ files, either 2003 or 2007. -
__init__
(path)¶
-
read_ised
(filename)¶ This function reads data from Bruzual & Charlot binary format SSP files and returns the necessary data in an array The input files should be ‘.ised’ files, either 2003 or 2007.
‘ks’ in the binary files is slightly different between 03/07 files so the read length and index should be set appropriately, therefore the function tries ‘03 format first and retries with the ‘07 format if the returned number of ages isn’t as expected (e.g. 221 ages)
-
ProgressBar
¶
-
class
smpy.ssp.
ProgressBar
(total_or_items, ipython_widget=False, file=None)¶ Bases:
astropy.extern.six.Iterator
A class to display a progress bar in the terminal.
It is designed to be used either with the
with
statement:with ProgressBar(len(items)) as bar: for item in enumerate(items): bar.update()
or as a generator:
for item in ProgressBar(items): item.process()
Methods
-
__init__
(total_or_items, ipython_widget=False, file=None)¶ Parameters: total_or_items : int or sequence
If an int, the number of increments in the process being tracked. If a sequence, the items to iterate over.
ipython_widget : bool, optional
If True, the progress bar will display as an IPython notebook widget.
file : writable file-like object, optional
The file to write the progress bar to. Defaults to sys.stdout. If file is not a tty (as determined by calling its isatty member, if any, or special case hacks to detect the IPython console), the progress bar will be completely silent.
-
classmethod
map
(function, items, multiprocess=False, file=None)¶ Does a map operation while displaying a progress bar with percentage complete.
def work(i): print(i) ProgressBar.map(work, range(50))
Parameters: function : function
Function to call for each step
items : sequence
Sequence where each element is a tuple of arguments to pass to function.
multiprocess : bool, optional
If True, use the multiprocessing module to distribute each task to a different processor core.
file : writeable file-like object, optional
The file to write the progress bar to. Defaults to sys.stdout. If file is not a tty (as determined by calling its isatty member, if any), the scrollbar will be completely silent.
-
update
(value=None)¶ Update progress bar via the console or notebook accordingly.
-
glob¶
-
smpy.ssp.
glob
(pathname)¶ Return a list of paths matching a pathname pattern.
The pattern may contain simple shell-style wildcards a la fnmatch. However, unlike fnmatch, filenames starting with a dot are special cases that are not matched by ‘*’ and ‘?’ patterns.
rebin_sed¶
-
smpy.ssp.
rebin_sed
(wave_in, sed_in, wave_out)¶ Rebin an SED to new wavelength grid with flux density conserved
Parameters: wave_in : numpy.array or ‘~astropy.units.Quantity’ array
Input wavelength grid, with length N
- sed_in : numpy.array or ‘~astropy.units.Quantity’ array
Input grid of SEDs, with shape (N, x)
- wave_out : numpy.array or ‘~astropy.units.Quantity’ array
Desired wavelength grid for rebinned SED, with length M
Returns: sed_out : numpy.array or ‘~astropy.units.Quantity’ array
Rebinned SEDs, with shape (M, x)


Summary of data from DMED queries.
Example Plots
dmed_tidy %>%
filter(location == "us",
strata == "gender",
category == "Total",
hsi == "all") %>%
ggplot(aes(x = year, y = rate, color = type)) +
geom_point() +
geom_line() +
labs(
title = "Army Heat Stress Illness Rate (all types) in CONUS",
x = "Year",
y = "Rate (per 1,000 persons per year)",
caption = "Primary diagnosis"
) +
scale_x_continuous(breaks = 0:2100) +
theme_bw() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(location == "us",
strata == "gender",
type == "Hospitalizations",
category == "Total",
year != "2006_2015") %>%
ggplot(aes(x = year, y = rate, color = hsi)) +
geom_point() +
geom_line() +
labs(
title = "Army Heat Stress Illness Hospitalization Rates in CONUS",
x = "Year",
y = "Rate (per 1,000 persons per year)",
caption = "Primary diagnosis"
) +
scale_x_continuous(breaks = 0:2100) +
theme_bw() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(location == "us",
strata == "gender",
type == "Ambulatory Data",
category == "Total",
year != "2006_2015") %>%
ggplot(aes(x = year, y = count, color = hsi)) +
geom_point() +
geom_line() +
labs(
title = "Army Heat Stress Illness Ambulatory Counts in CONUS",
x = "Year",
y = "Count",
caption = "Primary diagnosis"
) +
scale_x_continuous(breaks = 0:2100) +
theme_bw() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(location == "us",
strata == "age",
hsi == "all",
type == "Ambulatory Data",
year != "2006_2015") %>%
ggplot(aes(x = year, y = rate, color = category)) +
geom_point() +
geom_line() +
labs(
title = "CONUS Army Heat Stress Illness Ambulatory Rate (all types) by Age Group",
x = "Year",
y = "Rate (per 1,000 persons per year)",
caption = "Primary diagnosis"
) +
scale_x_continuous(breaks = 0:2100) +
theme_bw() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(location == "us",
strata == "age",
hsi == "all",
type == "Hospitalizations",
year != "2006_2015") %>%
ggplot(aes(x = year, y = rate, color = category)) +
geom_point() +
geom_line() +
labs(
title = "CONUS Army Heat Stress Illness Hospitalization Rate (all types) by Age Group",
x = "Year",
y = "Rate (per 1,000 persons per year)",
caption = "Primary diagnosis"
) +
scale_x_continuous(breaks = 0:2100) +
theme_bw() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(strata == "gender",
type == "Ambulatory Data",
category == "Total",
year != "2006_2015",
hsi == "all") %>%
ggplot(aes(x = year, y = rate, color = location)) +
geom_point() +
geom_line() +
labs(
title = "Army Heat Stress Illness Ambulatory Rates by Installation",
x = "Year",
y = "Rate (per 1,000 persons per year)",
caption = "Primary diagnosis"
) +
scale_x_continuous(breaks = 0:2100) +
theme_bw() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(strata == "gender",
type == "Ambulatory Data",
category != "Total",
year != "2006_2015",
hsi == "all",
location == "us") %>%
ggplot(aes(x = year, y = rate, color = category)) +
geom_point() +
geom_line() +
labs(
title = "CONUS Heat Stress Illness Ambulatory Rates",
x = "Year",
y = "Rate (per 1,000 persons per year)",
caption = "Primary diagnosis"
) +
scale_x_continuous(breaks = 0:2100) +
theme_bw() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(location == "us",
strata == "gender",
type == "Ambulatory Data",
category == "Total",
year != "2006_2015") %>%
ggplot(aes(x = hsi, y = count)) +
geom_boxplot() +
labs(
title = "CONUS Heat Stress Illness Ambulatory Counts",
x = "Heat Stress Illness Type",
y = "Count",
caption = "Primary diagnosis"
) +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(location == "us",
strata == "gender",
type == "Hospitalizations",
category == "Total",
year != "2006_2015",
hsi != "all") %>%
ggplot(aes(x = hsi, y = count)) +
geom_boxplot() +
labs(
title = "CONUS Heat Stress Illness Hospitalization Counts",
x = "Heat Stress Illness Type",
y = "Count",
caption = "Primary diagnosis"
) +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(location == "us",
strata == "gender",
type == "Reportable Events",
category == "Total",
year != "2006_2015",
hsi != "all") %>%
ggplot(aes(x = hsi, y = count)) +
geom_boxplot() +
labs(
title = "CONUS Heat Stress Illness Reportable Event Counts",
x = "Heat Stress Illness Type",
y = "Count",
caption = "Primary diagnosis"
) +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
dmed_tidy %>%
filter(location == "us",
strata == "gender",
type == "Reportable Events",
category == "Total",
year != "2006_2015",
hsi != "all") %>%
ggplot(aes(x = year, y = count, color = hsi)) +
geom_line() +
labs(
title = "CONUS Heat Stress Illness Reportable Event Counts",
x = "Year",
y = "Count",
caption = "Primary diagnosis"
) +
scale_x_continuous(breaks = 0:2100) +
theme_bw() +
theme(axis.text.x = element_text(angle = 90, hjust = 1))
Tables
# Army CONUS strata populations
dmed_tidy %>%
filter(type == "Hospitalizations",
location == "us",
year != "2006_2015",
category != "Total",
hsi == "all") %>%
group_by(strata, category) %>%
summarize(mean_population = mean(population)) %>%
knitr::kable() %>%
kable_styling("striped", full_width = F)
|
strata
|
category
|
mean_population
|
|
gender
|
Male
|
372940.00
|
|
gender
|
Female
|
59938.05
|
|
age
|
< 20
|
31647.10
|
|
age
|
20-24
|
134398.49
|
|
age
|
25-29
|
98186.33
|
|
age
|
30-34
|
69757.79
|
|
age
|
35-39
|
53646.55
|
|
age
|
>= 40
|
45095.13
|
|
grade
|
E1-E4
|
195826.42
|
|
grade
|
E5-E9
|
162254.22
|
|
grade
|
O1-O3 (W1-W3)
|
47574.56
|
|
grade
|
O4-O9 (W4-W5)
|
27155.03
|
|
race
|
White
|
281363.76
|
|
race
|
Black
|
100470.63
|
|
race
|
Other
|
51110.27
|
# Army CONUS event type and HSI totals (1990-2015)
dmed_tidy %>%
filter(strata == "gender",
category == "Total",
location == "us",
year != "2006_2015") %>%
dplyr::select(-c(category, population, rate, location, strata)) %>%
group_by(type, hsi) %>%
summarise(sum = sum(count)) %>%
knitr::kable() %>%
kable_styling("striped", full_width = F)
|
type
|
hsi
|
sum
|
|
Ambulatory Data
|
hexhsalt
|
203
|
|
Ambulatory Data
|
hexhunspec
|
23896
|
|
Ambulatory Data
|
all
|
56627
|
|
Ambulatory Data
|
hstroke
|
11229
|
|
Ambulatory Data
|
hexhanhy
|
1621
|
|
Ambulatory Data
|
hedema
|
424
|
|
Ambulatory Data
|
hsyncope
|
1618
|
|
Ambulatory Data
|
hother
|
1392
|
|
Ambulatory Data
|
hunspec
|
3311
|
|
Ambulatory Data
|
hcramps
|
1700
|
|
Hospitalizations
|
hexhsalt
|
37
|
|
Hospitalizations
|
hexhunspec
|
1386
|
|
Hospitalizations
|
all
|
4175
|
|
Hospitalizations
|
hstroke
|
1574
|
|
Hospitalizations
|
hexhanhy
|
250
|
|
Hospitalizations
|
hedema
|
0
|
|
Hospitalizations
|
hsyncope
|
57
|
|
Hospitalizations
|
hother
|
325
|
|
Hospitalizations
|
hunspec
|
56
|
|
Hospitalizations
|
hcramps
|
16
|
|
Reportable Events
|
hexhsalt
|
0
|
|
Reportable Events
|
hexhunspec
|
2686
|
|
Reportable Events
|
all
|
11660
|
|
Reportable Events
|
hstroke
|
3141
|
|
Reportable Events
|
hexhanhy
|
3954
|
|
Reportable Events
|
hedema
|
0
|
|
Reportable Events
|
hsyncope
|
0
|
|
Reportable Events
|
hother
|
0
|
|
Reportable Events
|
hunspec
|
564
|
|
Reportable Events
|
hcramps
|
0
|
# Ambulatory counts by location
dmed_tidy %>%
filter(type == "Ambulatory Data",
hsi == "all",
category == "Total") %>%
group_by(location) %>%
summarise(sum_all = sum(count)) %>%
arrange(desc(sum_all)) %>%
knitr::kable() %>%
kable_styling("striped", full_width = F)
|
location
|
sum_all
|
|
us
|
226512
|
|
bragg
|
14836
|
|
benning
|
11340
|
|
jackson
|
5579
|
|
campbell
|
4081
|
|
hood
|
2368
|
|
overseas
|
1751
|
|
polk
|
1637
|
|
stewart
|
1466
|
|
leonardwood
|
1272
|
|
riley
|
906
|
|
bliss
|
596
|
|
irwin
|
268
|
# Ambulatory mean rate by location
dmed_tidy %>%
filter(type == "Ambulatory Data",
hsi == "all",
category == "Total") %>%
group_by(location) %>%
summarise(mean_rate_all = mean(rate)) %>%
arrange(desc(mean_rate_all)) %>%
knitr::kable() %>%
kable_styling("striped", full_width = F)
|
location
|
mean_rate_all
|
|
jackson
|
26.612411
|
|
benning
|
25.570584
|
|
bragg
|
14.902104
|
|
polk
|
9.194516
|
|
campbell
|
6.609217
|
|
leonardwood
|
6.043352
|
|
us
|
5.849386
|
|
stewart
|
4.038331
|
|
irwin
|
2.898949
|
|
riley
|
2.807131
|
|
hood
|
2.601249
|
|
bliss
|
1.504162
|
|
overseas
|
1.218403
|


Batch that contains data in Tensorflow input format.
This class is beeing used to initialize Tensors of different types and shapes for Tensorflow operations
This class is used to calculate ALBERT embeddings for For Sequence Batches of WordpieceTokenizedSentence.
BERT (Bidirectional Encoder Representations from Transformers) provides dense vector representations for natural language by using a deep, pre-trained neural network with the Transformer architecture
BERT (Bidirectional Encoder Representations from Transformers) provides dense vector representations for natural language by using a deep, pre-trained neural network with the Transformer architecture
See https://github.com/JohnSnowLabs/spark-nlp/blob/master/src/test/scala/com/johnsnowlabs/nlp/embeddings/BertEmbeddingsTestSpec.scala for further reference on how to use this API. Sources:
Embeddings from a language model trained on the 1 Billion Word Benchmark.
Embeddings from a language model trained on the 1 Billion Word Benchmark.
Note that this is a very computationally expensive module compared to word embedding modules that only perform embedding lookups. The use of an accelerator is recommended.
word_emb: the character-based word representations with shape [batch_size, max_length, 512]. == word_emb
lstm_outputs1: the first LSTM hidden state with shape [batch_size, max_length, 1024]. === lstm_outputs1
lstm_outputs2: the second LSTM hidden state with shape [batch_size, max_length, 1024]. === lstm_outputs2
elmo: the weighted sum of the 3 layers, where the weights are trainable. This tensor has shape [batch_size, max_length, 1024] == elmo
See https://github.com/JohnSnowLabs/spark-nlp/blob/master/src/test/scala/com/johnsnowlabs/nlp/embeddings/ElmoEmbeddingsTestSpec.scala for further reference on how to use this API.
Language Identification and Detection by using CNNs and RNNs architectures in TensowrFlow
Language Identification and Detection by using CNNs and RNNs architectures in TensowrFlow
The models are trained on large datasets such as Wikipedia and Tatoeba The output is a language code in Wiki Code style: https://en.wikipedia.org/wiki/List_of_Wikipedias
MarianTransformer: Fast Neural Machine Translation
MarianTransformer: Fast Neural Machine Translation
MarianTransformer uses models trained by MarianNMT.
Marian is an efficient, free Neural Machine Translation framework written in pure C++ with minimal dependencies. It is mainly being developed by the Microsoft Translator team. Many academic (most notably the University of Edinburgh and in the past the Adam Mickiewicz University in Poznań) and commercial contributors help with its development.
It is currently the engine behind the Microsoft Translator Neural Machine Translation services and being deployed by many companies, organizations and research projects (see below for an incomplete list).
Sources : MarianNMT https://marian-nmt.github.io/ Marian: Fast Neural Machine Translation in C++ https://www.aclweb.org/anthology/P18-4020/
This class is used to run T5 model for For Sequence Batches of WordpieceTokenizedSentence.
This class is used to run T5 model for For Sequence Batches of WordpieceTokenizedSentence. Input for this model must be tokenzied with a SentencePieceModel,
The Universal Sentence Encoder encodes text into high dimensional vectors that can be used for text classification, semantic similarity, clustering and other natural language tasks.
The Universal Sentence Encoder encodes text into high dimensional vectors that can be used for text classification, semantic similarity, clustering and other natural language tasks.
See https://github.com/JohnSnowLabs/spark-nlp/blob/master/src/test/scala/com/johnsnowlabs/nlp/embeddings/UniversalSentenceEncoderTestSpec.scala for further reference on how to use this API.
XlnetEmbeddings (XLNet): Generalized Autoregressive Pretraining for Language Understanding
XlnetEmbeddings (XLNet): Generalized Autoregressive Pretraining for Language Understanding
Note that this is a very computationally expensive module compared to word embedding modules that only perform embedding lookups. The use of an accelerator is recommended.
XLNet is a new unsupervised language representation learning method based on a novel generalized permutation language modeling objective. Additionally, XLNet employs Transformer-XL as the backbone model, exhibiting excellent performance for language tasks involving long context. Overall, XLNet achieves state-of-the-art (SOTA) results on various downstream language tasks including question answering, natural language inference, sentiment analysis, and document ranking.
XLNet-Large = https://storage.googleapis.com/xlnet/released_models/cased_L-24_H-1024_A-16.zip | 24-layer, 1024-hidden, 16-heads XLNet-Base = https://storage.googleapis.com/xlnet/released_models/cased_L-12_H-768_A-12.zip | 12-layer, 768-hidden, 12-heads. This model is trained on full data (different from the one in the paper).
This class is used to calculate ALBERT embeddings for For Sequence Batches of WordpieceTokenizedSentence. Input for this model must be tokenzied with a SentencePieceModel,
This Tensorflow model is using the weights provided by https://tfhub.dev/google/albert_base/3 * sequence_output: representations of every token in the input sequence with shape [batch_size, max_sequence_length, hidden_size].
ALBERT: A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS - Google Research, Toyota Technological Institute at Chicago This these embeddings represent the outputs generated by the Albert model. All offical Albert releases by google in TF-HUB are supported with this Albert Wrapper:
TF-HUB Models : albert_base = https://tfhub.dev/google/albert_base/3 | 768-embed-dim, 12-layer, 12-heads, 12M parameters albert_large = https://tfhub.dev/google/albert_large/3 | 1024-embed-dim, 24-layer, 16-heads, 18M parameters albert_xlarge = https://tfhub.dev/google/albert_xlarge/3 | 2048-embed-dim, 24-layer, 32-heads, 60M parameters albert_xxlarge = https://tfhub.dev/google/albert_xxlarge/3 | 4096-embed-dim, 12-layer, 64-heads, 235M parameters
This model requires input tokenization with SentencePiece model, which is provided by Spark NLP
For additional information see : https://arxiv.org/pdf/1909.11942.pdf https://github.com/google-research/ALBERT https://tfhub.dev/s?q=albert
Tips:
ALBERT uses repeating layers which results in a small memory footprint, however the computational cost remains similar to a BERT-like architecture with the same number of hidden layers as it has to iterate through the same number of (repeating) layers.


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Class Hierarchy
- IndexableStorageI
#(
type INDEX
= int
,
type STORAGE
= int
)
-
MyIndexableStorageI
extends IndexableStorageI#(uvm_reg, int unsigned)
Functions
-
virtual function INDEX
getIndexForStorage
( AtomicStorage
storage)
-
virtual function AtomicStorage
getSelectedAtomicEntities
( const ref INDEX
idx)
Direct Associations Diagram
Generated from:
cdns_generic_indirect_register_pkg.sv


I have been using the Atomic DEX app for a while now and have made a number of successful trades. It is really easy to use and the UX is generally fantastic. I do have one important piece of feedback on the trading interface, however.
You need to add the balance of each holding to the main trade screen when a sell or buy order is entered on the trading screens. Currently nothing is shown (at least on my version) when you select a particular coin to sell. If you don't want to trade your max...


Liverpool team news: Injury, suspension list vs. Crystal Palace
Liverpool return to Premier League action on Saturday afternoon with a trip to Selhurst Park to face Crystal Palace.
by Darren PlantBefore the international break, Jurgen Klopp's side extended their advantage at the top of the standings to eight points courtesy of a 3-1 triumph over rivals Manchester City.
However, Klopp must contend with a number of selection issues before deciding on his squad for the trip to London at the weekend.
Here, Sports Mole rounds up the latest injury and suspension news for the Merseyside giants.
Status: Minor doubt
Type of injury: Illness
Possible return date: November 23 (vs. Palace)
While Henderson returned to action to star against City, illness ruled the midfielder out of action for England. However, the extra recovery time could lead to the skipper being available for this game.
Status: Major doubt
Type of injury: Ankle
Possible return date: November 23 (vs. Palace)
Salah is still dealing with an ankle problem which he sustained against Leicester City last month. While the winger has had the international break to rest the injury, the Egyptian remains a major doubt ahead of the clash with Palace.
Status: Major doubt
Type of injury: Ankle
Possible return date: November 23 (vs. Palace)
Robertson revealed that he had been left with a swollen ankle after the win over Manchester City, an issue which ruled him out of international action with Scotland. The left-back is unlikely to feature at the weekend.
Status: Minor doubt
Type of injury: Knee
Possible return date: November 23 (vs. Palace)
Gomez missed out on a potential start with England last week after sustaining a knock to his knee. However, with the issue said to be minor, the defender could feature in Saturday's squad.
Status: Minor doubt
Type of injury: Calf
Possible return date: November 23 (vs. Palace)
Shaqiri has been absent for a number of weeks due to a calf injury. However, with Klopp having opted to take no risks with his fitness, the Switzerland international is in contention this weekend.
Status: Major doubt
Type of injury: Knee
Possible return date: November 23 (vs. Palace)
Having been sidelined with a knee injury since October 20, there have been conflicting reports regarding Matip's recovery time. However, the centre-back is unlikely to be available for this contest.
Status: Out
Type of injury: Knee
Possible return date: Unknown
Nathaniel Clyne is Liverpool's only long-term absentee, with a return not expected until next year after he suffered knee ligament damage in pre-season.
LIVERPOOL'S SUSPENSION LIST
Liverpool have no players who are suspended for this match.
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