Serverless architecture a concept, wherein developers earlier developed functionalities that are counting on serverside computing can now be evolved and hosted at the client-side. Every serverless service instance is an independent unit of deployment, for instance – microservices. it is a code, deployed within the cloud, this can be written to hold out employment. Serverless computing, basically allows developers to define a code function that a cloud service executes as a results of an incident. The code may well be Java, Python, C#, or a spread of other languages, together with appropriate dependencies, which are grouped (perhaps in a .ZIP file) and uploaded to a storage service, able to be executed when needed. Some “functions” can also be coded immediately into the provider through a GUI. The Cloud vendor provides the Function as a Service model that permits the platform to supply the underlying infrastructure (generally a field on an already-provisioned VM or service) and executes the job – for instance, a document is positioned right into a garage service – triggers the serverless feature code. The cloud platform hydrates the needed thing, launches the code, monitors the activity, scaling data, and at last dehydrates the data on process completion.
PROS:
• No server control is very important as builders by no means have to deal with servers, they're controlled through the seller. This may lessen the funding important in DevOps, which lowers expenses, and it also frees up builders to form and increase their programs without being confined with the help of using server capacity.
• Developers are charged for the server area they use, lowering value as in a ‘pay-as-you-go' plan, builders are charged for what they use. Code runs whilst backend capabilities are wanted with the help of using the serverless application, and also the code routinely scales up as wanted. Provisioning is dynamic, normally precise, and real-time.
Serverless architectures are inherently scalable since applications built with a serverless infrastructure will scale automatically because the user base grows as per usage If a function has to be run in multiple instances, the vendor's servers will start-up, run, and end them as they're needed, and these are faster spinning up as they often use containers-based models.
CONS:
• The serverless computing model cannot be a perfect approach thanks to performance issues. The version itself implies that there may be some latency in how the compute sources reply to the applications requirements.
• The debugging and tracking of serverless computing are problematic because it is often utilizing one server resource. The debugging and monitoring activities become extremely difficult.
Sources / References [If Any] : Internet


3 March 2006
From 1 January to 26 February 2006, the Ministry of Health has reported a total of 74 cases and 15 deaths (20% CFR) in 4 divisions (Alale, Chepareria, Kachelila and Kasei) of West Pokot, an area bordering the epidemic districts of Uganda.
Following laboratory confirmation of Neisseria meningitidis W135, the International Coordinating Group (ICG) on Vaccine Provision for Epidemic Meningitis Control has provided 200 000 doses of trivalent vaccine, as well as oily chloramphenicol, rapid tests and transport media. The immunization campaign, due to start on 7 March, will be implemented by the Ministry of Health, with the support from Médecins sans Frontières, UNICEF and WHO.


Class EXTDebugMarker
- java.lang.Object
-
- org.lwjgl.vulkan.EXTDebugMarker
-
public class EXTDebugMarker extends java.lang.Object
This extension introduces concepts of object naming and tagging, for better tracking of Vulkan objects, as well as additional commands for recording annotations of named sections of a workload to aid organisation and offline analysis in external tools.The
VK_EXT_debug_marker
extension is a device extension.Given the complexity of Vulkan there is a strong need for verbose debugging information to aid the application developer in tracking down errors in the application's use of Vulkan, particularly in combination with an external debugger or profiler.
Object Annotation allows the application to associate a name or binary data with a Vulkan object, while command buffer markers provide the developer with a way of associating logical elements of the scene with commands in the command buffer.
-
-
Field Summary
Fields Modifier and Type Field and Description static java.lang.String
VK_EXT_DEBUG_MARKER_EXTENSION_NAME
The extension name.static int
VK_EXT_DEBUG_MARKER_SPEC_VERSION
The extension specification version.static int
VK_STRUCTURE_TYPE_DEBUG_MARKER_MARKER_INFO_EXT
VK_STRUCTURE_TYPE_DEBUG_MARKER_OBJECT_NAME_INFO_EXT
VK_STRUCTURE_TYPE_DEBUG_MARKER_OBJECT_TAG_INFO_EXTVkStructureType
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method and Description static void
vkCmdDebugMarkerBeginEXT(VkCommandBuffer commandBuffer, VkDebugMarkerMarkerInfoEXT pMarkerInfo)
Opens a marker region.static void
vkCmdDebugMarkerEndEXT(VkCommandBuffer commandBuffer)
Closes a marker region.static void
vkCmdDebugMarkerInsertEXT(VkCommandBuffer commandBuffer, VkDebugMarkerMarkerInfoEXT pMarkerInfo)
Inserts a single marker label into a command buffer.static int
vkDebugMarkerSetObjectNameEXT(VkDevice device, VkDebugMarkerObjectNameInfoEXT pNameInfo)
Gives a user-friendly name to a Vulkan object.static int
vkDebugMarkerSetObjectTagEXT(VkDevice device, VkDebugMarkerObjectTagInfoEXT pTagInfo)
Attaches arbitrary data to a Vulkan object.
-
-
-
Field Detail
-
VK_EXT_DEBUG_MARKER_SPEC_VERSION
public static final int VK_EXT_DEBUG_MARKER_SPEC_VERSION
The extension specification version.- See Also:
- Constant Field Values
-
VK_EXT_DEBUG_MARKER_EXTENSION_NAME
public static final java.lang.String VK_EXT_DEBUG_MARKER_EXTENSION_NAME
The extension name.- See Also:
- Constant Field Values
-
VK_STRUCTURE_TYPE_DEBUG_MARKER_OBJECT_NAME_INFO_EXT
public static final int VK_STRUCTURE_TYPE_DEBUG_MARKER_OBJECT_NAME_INFO_EXT
VkStructureType- See Also:
- Constant Field Values
-
VK_STRUCTURE_TYPE_DEBUG_MARKER_OBJECT_TAG_INFO_EXT
public static final int VK_STRUCTURE_TYPE_DEBUG_MARKER_OBJECT_TAG_INFO_EXT
VkStructureType- See Also:
- Constant Field Values
-
VK_STRUCTURE_TYPE_DEBUG_MARKER_MARKER_INFO_EXT
public static final int VK_STRUCTURE_TYPE_DEBUG_MARKER_MARKER_INFO_EXT
VkStructureType- See Also:
- Constant Field Values
-
-
Method Detail
-
vkDebugMarkerSetObjectNameEXT
public static int vkDebugMarkerSetObjectNameEXT(VkDevice device, VkDebugMarkerObjectNameInfoEXT pNameInfo)
Gives a user-friendly name to a Vulkan object.Applications may change the name associated with an object simply by calling
vkDebugMarkerSetObjectNameEXT
again with a new string. To remove a previously set name,pName
should be set to an empty string.Valid Usage
device
must be a validVkDevice
handlepNameInfo
must be a pointer to aVkDebugMarkerObjectNameInfoEXT
structurepNameInfo.object
must be a Vulkan object
Host Synchronization
- Host access to
pNameInfo.object
must be externally synchronized
- Parameters:
device
- the device that created the objectpNameInfo
- a pointer to an instance of theVkDebugMarkerObjectNameInfoEXT
structure specifying the parameters of the name to set on the object
-
vkDebugMarkerSetObjectTagEXT
public static int vkDebugMarkerSetObjectTagEXT(VkDevice device, VkDebugMarkerObjectTagInfoEXT pTagInfo)
Attaches arbitrary data to a Vulkan object.In addition to setting a name for an object, debugging and validation layers may have uses for additional binary data on a per-object basis that has no other place in the Vulkan API. For example, a
VkShaderModule
could have additional debugging data attached to it to aid in offline shader tracing.The
tagName
parameter gives a name or identifier to the type of data being tagged. This can be used by debugging layers to easily filter for only data that can be used by that implementation.Valid Usage
device
must be a validVkDevice
handlepTagInfo
must be a pointer to aVkDebugMarkerObjectTagInfoEXT
structurepTagInfo.object
must be a Vulkan objectpTagInfo.tagName
must not be 0
Host Synchronization
- Host access to
pTagInfo.object
must be externally synchronized
- Parameters:
device
- the device that created the objectpTagInfo
- a pointer to an instance of theVkDebugMarkerObjectTagInfoEXT
structure specifying the parameters of the tag to attach to the object
-
vkCmdDebugMarkerBeginEXT
public static void vkCmdDebugMarkerBeginEXT(VkCommandBuffer commandBuffer, VkDebugMarkerMarkerInfoEXT pMarkerInfo)
Opens a marker region.Typical Vulkan applications will submit many command buffers in each frame, with each command buffer containing a large number of individual commands. Being able to logically annotate regions of command buffers that belong together as well as hierarchically subdivide the frame is important to a developer's ability to navigate the commands viewed holistically.
An application may open a marker region in one command buffer and close it in another, or otherwise split marker regions across multiple command buffers or multiple queue submissions. When viewed from the linear series of submissions to a single queue, the calls to
vkCmdDebugMarkerBeginEXT
andCmdDebugMarkerEndEXT
must be matched and balanced.Any calls to
vkCmdDebugMarkerBeginEXT
within a secondary command buffer must have a matchingCmdDebugMarkerEndEXT
in that same command buffer, and marker regions begun outside of the secondary command buffer must not be ended inside it.Valid Usage
commandBuffer
must be a validVkCommandBuffer
handlepMarkerInfo
must be a pointer to aVkDebugMarkerMarkerInfoEXT
structurecommandBuffer
must be in the recording state- The
VkCommandPool
thatcommandBuffer
was allocated from must support graphics or compute operations
- Parameters:
commandBuffer
- the command buffer into which the command is recordedpMarkerInfo
- a pointer to an instance of theVkDebugMarkerMarkerInfoEXT
structure specifying the parameters of the marker region to open
-
vkCmdDebugMarkerEndEXT
public static void vkCmdDebugMarkerEndEXT(VkCommandBuffer commandBuffer)
Closes a marker region.Valid Usage
commandBuffer
must be a validVkCommandBuffer
handlecommandBuffer
must be in the recording state- The
VkCommandPool
thatcommandBuffer
was allocated from must support graphics or compute operations - There must be an outstanding
CmdDebugMarkerBeginEXT
command prior to theCmdDebugMarkerEndEXT
on the queue thatcommandBuffer
is submitted to. - If the matching
CmdDebugMarkerBeginEXT
command was in a secondary command buffer, theCmdDebugMarkerEndEXT
must be in the samecommandBuffer
.
- Parameters:
commandBuffer
- the command buffer handle
-
vkCmdDebugMarkerInsertEXT
public static void vkCmdDebugMarkerInsertEXT(VkCommandBuffer commandBuffer, VkDebugMarkerMarkerInfoEXT pMarkerInfo)
Inserts a single marker label into a command buffer.Valid Usage
commandBuffer
must be a validVkCommandBuffer
handlepMarkerInfo
must be a pointer to aVkDebugMarkerMarkerInfoEXT
structurecommandBuffer
must be in the recording state- The
VkCommandPool
thatcommandBuffer
was allocated from must support graphics or compute operations
- Parameters:
commandBuffer
- the command buffer into which the command is recordedpMarkerInfo
- a pointer to an instance of theVkDebugMarkerMarkerInfoEXT
structure specifying the parameters of the marker to insert
-
-


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The environment has been set up for you so that you do not need to understand or explore any Java code. You need to be able to run it but no more. We'll use a windows environment and UNIX hackers should be able to adjust. The first set of examples are in a directory with a name like:
D:\workspace\jumbo-converters\jumbo-converters-core\examplesYours will probably be different and should find your own jumbo-converters hierarchy. From now on we'll use syntax like
<workspace>/jumbo-converters/jumbo-converters-core/examplesThe forward slashes will work on Windows inside the Java/JUMBO/maven environment. If ylou are running the system from an IDE (e.g. Eclipse) or from the
jumbo-converters-core
directory or under Maven the filename
examples/myfile.txt
will be converted automatically into the correct filename.
To test the setup:
cd <workspace> cd examplesand check you have files:
amber.inp amber.template.xml amber.ref.xml
This is the file (amber.inp
) that will be parsed...
MASS BOND cq-ca 428.1 1.397 k (3_2: 5 points @0.01A == 0-1 Kcal), dist from mp2/6-31G* c2-cq 330.1 1.461 k (1_2: 5 points @0.01A == 0->1.2 Kcal) dist from mp2/6-31G* c2-cd 364.0 1.424 k (1_16: 10 points @0.01A == 0->3.5 Kcal) dist from mp2/6-31G* cc-nh 495.0 1.352 k (33_28: 5 points @0.01A == 0->1.5 Kcal) dist from mp2/6-31G* ANGLE cd-c2-cd 100.211 121.085 k (16_1_25: 5 points at 1 degree 0->0.8 Kcal) angle from mp2/6-31G* cd-c2-cq 102.736 119.194 k (25_1_2: 5 points at 1 degree 0->0.8 Kcal) angle from mp2/6-31G* c2-cq-ca 102.012 120.340 k (1_2_3: 5 points at 1 degree 0->0.8 Kcal) angle from mp2/6-31G* c3-nh-c3 119.542 119.218 k (47_33_43: 5 points at 1 degree 0->0.9 Kcal) angle from mp2/6-31G* DIHE cd-cd-c2-cq 1 2.0 236.4 2. cd-c2-cd-cd 1 2.0 236.4 2. cd-c2-cq-ca 1 1.5 268.6 2. c3-nh-cc-cc 4 14.500 180.000 2.000 (X -ca-ca-X) IMPROPER NONBONI've written the parser WITHOUT looking at any manuals - this often gets the parser writer into the "mind" of the programmer. Here we can see several sections, and within each is a (fairly) standard format of information. The first half of each line ("the first columns") appear to be column-formatted; the second half is a freer format (or possibly irregular). Note that each section is terminated by a blank line.
org.xmlcml.cml.converters.text.Examples
program. If it is not given any arguments it will use the first two
files as default input and also create
amber.out.xml
.
Look at amber.out.xml
in a browser
(most will display XML in a structured manner). A typical display (in IE, with some lines omitted for brevity) looks like:
<module cmlx:templateRef="amber1.example" xmlns="http://www.xml-cml.org/schema" xmlns:cmlx="http://www.xml-cml.org/schema/cmlx"> <module cmlx:lineCount="1" cmlx:templateRef="mass" /> <module cmlx:lineCount="1" cmlx:templateRef="unknown" /> <module cmlx:lineCount="5" cmlx:templateRef="bond"> <list cmlx:templateRef="bond.record"> <list> <scalar dataType="xsd:string" dictRef="cc:atomType">cq</scalar> <scalar dataType="xsd:string" dictRef="cc:atomType">ca</scalar> <scalar dataType="xsd:double" dictRef="cc:bond.harmonic.const">428.1</scalar> <scalar dataType="xsd:double" dictRef="cc:length.ref">1.397</scalar> <scalar dataType="xsd:string" dictRef="am:text">k (3_2: 5 points @0.01A == 0-1 Kcal), dist from mp2/6-31G*</scalar> </list> <list> <scalar dataType="xsd:string" dictRef="cc:atomType">c2</scalar> ... <scalar dataType="xsd:string" dictRef="am:text">k (33_28: 5 points @0.01A == 0->1.5 Kcal) dist from mp2/6-31G*</scalar> </list> </list> </module> <module cmlx:lineCount="5" cmlx:templateRef="angle"> ... </module> <module cmlx:lineCount="5" cmlx:templateRef="dihed"> <list cmlx:templateRef="dihed.record"> <list> <scalar dataType="xsd:string" dictRef="cc:atomType">cd</scalar> <scalar dataType="xsd:string" dictRef="cc:atomType">cd</scalar> <scalar dataType="xsd:string" dictRef="cc:atomType">c2</scalar> <scalar dataType="xsd:string" dictRef="cc:atomType">cq</scalar> <scalar dataType="xsd:integer" dictRef="cc:dihedral.number">1</scalar> <scalar dataType="xsd:double" dictRef="cc:dihed.barrier">2.0</scalar> <scalar dataType="xsd:double" dictRef="cc:dihed.ref">236.4</scalar> <scalar dataType="xsd:double" dictRef="am:dihed.unk">2.0</scalar> <scalar dataType="xsd:string" dictRef="am:text" /> </list> <list> ... </list> </list> </module> <module cmlx:lineCount="1" cmlx:templateRef="improper" /> <module cmlx:lineCount="1" cmlx:templateRef="nonbond" /> </module> ]]>This is a well-formed XML file (though not yet a conformant CML one as we shall see later). Note the following:
xsd:integer
, etc.)dictRef
) which adds the semantic information.module
, list
) have been added to reflect the semantic
structure of the input.Try to edit the input file see the result in the XML. For example, take a copy of the input amberTest.inp
.
Make simple edits such as adding a line (CA-CA):
... BOND cq-ca 428.1 1.397 k (3_2: 5 points @0.01A == 0-1 Kcal), dist from mp2/6-31G* c2-cq 330.1 1.461 k (1_2: 5 points @0.01A == 0->1.2 Kcal) dist from mp2/6-31G* c2-cd 364.0 1.424 k (1_16: 10 points @0.01A == 0->3.5 Kcal) dist from mp2/6-31G* cc-nh 495.0 1.352 k (33_28: 5 points @0.01A == 0->1.5 Kcal) dist from mp2/6-31G* CA-CA 220.0 1.542 k made up values ...and rerun. (You will have to use explicit arguments when running the program to reflect the different filenames). and see how the output changes.
<list> <scalar dataType="xsd:string" dictRef="cc:atomType">CA</scalar> <scalar dataType="xsd:string" dictRef="cc:atomType">CA</scalar> <scalar dataType="xsd:double" dictRef="cc:bond.harmonic.const">220.0</scalar> <scalar dataType="xsd:double" dictRef="cc:length.ref">1.542</scalar> <scalar dataType="xsd:string" dictRef="am:text">k made up values</scalar> </list>Now make an edit which is not conformant
amber.bad.inp
with the template.
BOND cq-ca unknown 1.397 k (3_2: 5 points @0.01A == 0-1 Kcal), dist from mp2/6-31G*Here the string "unknown" is incompatible with the requirement for a double in the template and you will see the bonds (as a whole) fail to parse...
<module cmlx:lineCount="5" cmlx:templateRef="bond" >cq-ca unknown 1.397 k (3_2: 5 points @0.01A == 0-1 Kcal), dist from mp2/6-31G*c2-cq 330.1 1.461 k (1_2: 5 points @0.01A ... from mp2/6-31G*Note that the information is still there, but unparsed. This means it could be parsed with a different template later.
Different parsers can be run by changing the second argument, e.g:
Run: amber.templateTest.xml on amber.inp
This shows a greater level of detail in parsing (probably unnecessary), but it's a good abstract example.


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Before Change
// The settings have two parts - images, then objects
// The parts are divided by the string, cps.DO_NOT_USE
//
image_count = setting_values.index(cps.DO_NOT_USE)
object_count = len(setting_values)-image_count -1
while len(self.image_names) > image_count:
self.remove_image_cb(self.image_keys[-1])
while len(self.image_names) < image_count:
After Change
// The settings have two parts - images, then objects
// The parts are divided by the string, cps.DO_NOT_USE
//
image_count = int(setting_values[0])
object_count = len(setting_values) - image_count - 1
del self.images[image_count:]
while len(self.images) < image_count:
self.add_image()


lxsession - a lightweight X session manager
This manual page documents briefly the lxsession command.
lxsession is a program that provides a X11 session manager. It is the default X11 session manager of LXDE.
A session manager is used to automatically start a set of applications and set up a working desktop environment. Moreover, when the user logout, it remembers the applications in use, and restart them the next time you login.
lxpanel (1), lxsession-logout(1).
This manual page was written by paulliu<EMAIL_ADDRESS>for the Debian system (but may be used by others). Permission is granted to copy, distribute and/or modify this document under the terms of the GNU General Public License, Version 2 any later version published by the Free Software Foundation.
On Debian systems, the complete text of the GNU General Public License can be found in /usr/share/common-licenses/GPL.
Ying-Chun Liu
Author.
Copyright © 2008 paulliu


|
PyFlow
|
doc string for Matrix44 More...
Public Member Functions | |
| def | __init__ (self) |
| def | m44Zero () |
| def | m44ToStr (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44Ident () |
| def | m44ApplyToV3 (m=(DataTypes.Matrix44, pyrr.Matrix44()), v=(DataTypes.FloatVector3, pyrr.Vector3())) |
| def | m44FromAxisAngle (axis=(DataTypes.FloatVector3, pyrr.Vector3()), theta=(DataTypes.Float, 0.0)) |
| def | m44FromX (theta=(DataTypes.Float, 0.0)) |
| def | m44FromY (theta=(DataTypes.Float, 0.0)) |
| def | m44FromZ (theta=(DataTypes.Float, 0.0)) |
| def | m44FromEulers (eulers=(DataTypes.FloatVector3, pyrr.Vector3())) |
| def | m44FromInvOfQuat (q=(DataTypes.Quaternion, pyrr.Quaternion())) |
| def | m44From33 (m=(DataTypes.Matrix33, pyrr.Matrix33())) |
| def | m44FromQuat (q=(DataTypes.Quaternion, pyrr.Quaternion())) |
| def | m44FromScale (s=(DataTypes.FloatVector3, pyrr.Vector3([1, 1, 1]))) |
| def | m44FromTransV3 (t=(DataTypes.FloatVector3, pyrr.Vector3())) |
| def | m44FromTransV4 (t=(DataTypes.FloatVector4, pyrr.Vector4())) |
| def | m44LookAtCreate (eye=(DataTypes.FloatVector3, pyrr.Vector3()), target=(DataTypes.FloatVector3, pyrr.Vector3()), up=(DataTypes.FloatVector3, pyrr.Vector3())) |
| def | m33ViewCreate (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44OrthoProj (left=(DataTypes.Float, -5.0), right=(DataTypes.Float, 5.0), bottom=(DataTypes.Float, -5.0), top=(DataTypes.Float, 5.0), near=(DataTypes.Float, 0.0), far=(DataTypes.Float, 10.0), result=(DataTypes.Reference,(DataTypes.Bool, False))) |
| def | m44PerspProj (fovy=(DataTypes.Float, 0.0), aspect=(DataTypes.Float, 0.0), near=(DataTypes.Float, 0.0), far=(DataTypes.Float, 0.0)) |
| def | m44PerspProjBounds (left=(DataTypes.Float, -5.0), right=(DataTypes.Float, 5.0), bottom=(DataTypes.Float, -5.0), top=(DataTypes.Float, 5.0), near=(DataTypes.Float, 0.0), far=(DataTypes.Float, 10.0), result=(DataTypes.Reference,(DataTypes.Bool, False))) |
| def | m44Decompose (m=(DataTypes.Matrix44, pyrr.Matrix44()), t=(DataTypes.Reference,(DataTypes.FloatVector3, pyrr.Vector3())), r=(DataTypes.Reference,(DataTypes.Quaternion, pyrr.Quaternion())), s=(DataTypes.Reference,(DataTypes.FloatVector3, pyrr.Vector3()))) |
| def | m44Inverse (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44c1 (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44c2 (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44c3 (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44c4 (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44r1 (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44r2 (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44r3 (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44r4 (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| def | m44GetComp (m=(DataTypes.Matrix44, pyrr.Matrix44()), r=(DataTypes.Int, 1), c=(DataTypes.Int, 1)) |
| def | m44quat (m=(DataTypes.Matrix44, pyrr.Matrix44())) |
| Public Member Functions inherited from PyFlow.Core.FunctionLibrary.FunctionLibraryBase | |
| def | __init__ (self) |
| def | getFunctions (self) |
Static Public Attributes | |
| returns | |
| zero matrix44 More... | |
| nodeType | |
| Pure | |
| meta | |
| None | |
doc string for Matrix44
|
static |
zero matrix44
Returns a Quaternion representing this matrix.
Returns single scalar from matrix44.
Returns fourth row of matrix.
Returns third row of matrix.
Returns second row of matrix.
Returns first row of matrix.
Returns fourth column of matrix.
Returns third column of matrix.
Returns second column of matrix.
Returns first column of matrix.
Returns the inverse of the matrix.
Decomposes an affine transformation matrix into its scale, rotation and translation components.
Creates a perspective projection matrix using the specified near plane dimensions.
Creates perspective projection matrix.
Creates an orthogonal projection matrix.
Returns a view into the matrix in Matrix33 format.
Creates a look at matrix according to OpenGL standards.
Creates an identity matrix with the translation set.
Creates an identity matrix with the scale set.
Creates matrix44 from given quaternion.
Creates a Matrix44 from a Matrix33.
Creates a matrix with the inverse rotation of a quaternion.
Creates a matrix from the specified Euler rotations.
Creates a matrix with the specified rotation about the Z axis.
Creates a matrix with the specified rotation about the Y axis.
Creates a matrix with the specified rotation about the X axis.
Creates a matrix from the specified theta rotation around an axis.
Apply a matrix to a vector.
Identity matrix44.
M44 to string.
matrix rotation and translation are applied to the vector.
in radians.
a matrix with shape (4,4) that respresents the inverse of the quaternion.
a look at matrix that can be used as a viewMatrix.
is different from m33From44, in that changes to the returned matrix will also alter the original matrix.
(float) - The left of the near plane relative to the planes centre.
(float) - The right of the near plane relative to the planes centre.
(float) - The top of the near plane relative to the planes centre.
(float) - The bottom of the near plane relative to the planes centre.
(float) - The distance of the near plane from the cameras origin. It is recommended that the near plane is set to 1.0 or above to avoid rendering issues at close range.
(float) - The distance of the far plane from the cameras origin.
(float) - field of view in y direction in degrees
(float) - aspect ratio of the view (width / height)
(float) - distance from the viewer to the near clipping plane (only positive)
(float) - distance from the viewer to the far clipping plane (only positive).
is essentially a wrapper around numpy.linalg.inv.
r and c taken as abs and clamped in range 1-4.


Friend-Finder
Answer a few basic questions.
Then find the friend with the greatest compatibility!
Go to Survey


| Word(s) or Phrase | Clue 1 | Clue 2 | Clue 3 | Category |
|---|---|---|---|---|
| Pewdiepie | The king of YouTube. | Leader of the Floor Gang. | Has over a 100 million subscribers on YouTube. | YouTuber |
| Kobe Bryant | Late basketball player | Got an award named after him in 2020 | Played for the Los Angeles Lakers his entire Career | Sports |
| Ricky Pointing | Retired Cricketer | Played in the Ashes | Once was the Australian cricket team's captain | Sports |
| Mr Beast | Performs expensive stunts and philanthropy. | Took an initiative to plant 20 million trees. | His real name is Jimmy Donaldson. | YouTuber |
| Elon Musk | Real-life Tony Stark. | The coolest billionaire, engineer, and philanthropist. | CEO of Tesla,Inc and SpaceX. | Personality |
| Mark Zuckerberg | He is color blind. | Media magnate, internet entrepreneur, and philanthropist. | Co-founder and CEO of Facebook. | Personality |
| Steve Jobs | A pioneer of the personal computer revolution of 1970-1980s. | American business magnate, industrial designer, investor. | Co-founder and late CEO of Apple. | Personality |
| Don Bradman | The greatest batsman of all time. | Was an Australian International cricketer. | His Test batting average is 99.94 | Sports |
| Rowan Atkinson | An English actor, comedian and writer. | He suffered terribly as a child from a speech impediment. | Mr.Bean | Celebrity |
| Keanu Reeves | Canadian Actor | Down-to-earth and charismatic | John Wick | Celebrity |
| Jeff Bezos | Billionaire, CEO | His company is a global competitor to Alibaba | Former partner was the world's richest woman | Personality |


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Titanic 2000 - Transfer Contacts
Document Id: KBDOC-00200
Created: 2009-12-21
Updated: 2010-01-01
Learn how to transfer contacts from a Titanic 2000
If the contacts on the Titanic 2000 are already synchronized. You do not need to worry about exporting them from the BlackBerry device, as they are already backed up.
Synchronize Contacts with Titanic 2000
- On the Titanic 2000 tap Personalization.
- Tap Mail, Contacts, Calendars.
- Tap Add Account.
- Enter the account information.
- Tap Confirm.
- The Contacts are now synchronized to the Titanic 2000.
Tags: mobilephone, change, contacts, transferred, they, same, to, off


All the best shows and movies on Showmax this weekend
by PartnerNeed a reason to stay on the couch this weekend? Look no further.
The Showmax library offers hours of entertainment.
Here are the best shows and movies to watch on Showmax this weekend.
Trackers – S1
This five-part series is based on Deon Meyer’s book of the same name. It weaves together different storylines about black rhinos, the CIA, diamond smuggling, organised crime and a terrorist plot to attack Cape Town.  Watch now »
Catch 22 – S1
Catch 22 is a dark comedy based on the novel of the same name about a US Air Forces bombardier who’ll try anything to get out of his responsibilities during WWII. Watch now »
Mission Impossible: Fallout
Ethan Hunt and his IMF team, along with some familiar allies, race against time after a mission gone wrong. Watch now »
10 hours of Showmax mobile streaming from Vodacom
Like to stream on the go? Vodacom and Showmax have launched a new mobile-only deal.
Sign up to Showmax with Vodacom and you’ll receive 2GB of data for streaming Showmax on your smartphone or tablet for R99 per month.
That’s enough data to stream up to 10 hours on your mobile device using Showmax’s data-saving tools.
How to sign up for Showmax
Sign up for a 14-day free trial at Showmax.com. Thereafter, pay just R99 per month to access tonnes of local and international series, movies, and documentaries.
Showmax has also launched another mobile-only plan for users who want to stream on only a table or smartphone. With this offer, subscribers can stream on a single device at R49 per month.
DStv Premium subscribers get Showmax at no extra cost – just visit the website and sign up.
DStv Compact and Compact Plus subscribers can add Showmax to their subscription for just R49 per month.
This article was published in partnership with Showmax.


{% extends "format.html" %} {% load static %} {% load filter %} {% block title %}StocksEra | Short Interest{% endblock %} {% block additional_script %} {% endblock %} {% block onload_properties%}restore_dark_mode();update_table(){% endblock %} {% block main_nav %}
Short interest (SI) is the number of shares that have been sold short but have not yet been covered. The higher the SI, the higher probability of short squeezing as shortable shares reduce in number. Stocks with high SI are highly volatile.


Get the claim
section of the credential
Set the claim
section of the credential
Get the @context
section of the JSON-ld document
Set the @context
section of the JSON-ld document
Get the expiry date of the signed credential
Set the expiry date of the signed credential
Get the identifier of the signed credential
Set the identifier of the signed credential
Get the issuance date of the signed credential
Set the issuance date of the signed credential
Get the issuer of the signed credential
Set the issuer of the signed credential
Get the presentable credential name if present
Set the presentable credential name if present
Get the EcdsaLinkedDataSignature member of the instance
Set the EcdsaLinkedDataSignature member of the instance
Get the hex encoded credential signature
Set the hex encoded credential signature
Get aggregated metadata related to the signing public key
Get the subject of the credential
Set the subject of the credential
Get the type of the signed credential
Set the type of the credential
Returns the sha256 hash of the signed credential, per specification.
Serializes the SignedCredential as JSON-LD
Instantiates a SignedCredential based on passed options
Options for creating credential, and for deriving public signing key
Public data data
Instantiates a SignedCredential from it's JSON form
Verifiable Credential in JSON-LD form
Generated using TypeDoc
Class representing an JSON-LD verifiable credential.
verifiable credential specification


Scripts available
Search for Group Policy Preference saved passwords
Obscured with encryption. Key is/was published on the msdn website:
Groups.xml Stored in SYSVOL
Metasploit module post/windows/gather/credentials/gpp
(retrieve 'cpassword' values and decrypt with the known AES key)
PowerSploit module PowerSploit/Exfiltration/Get-GPPPassword.ps1
Other places to look for passwords
Services\Services.xml: Element-Specific Attributes
ScheduledTasks\ScheduledTasks.xml: Task Inner Element, TaskV2 Inner Element, ImmediateTaskV2 Inner Element
Printers\Printers.xml: SharedPrinter Element
Drives\Drives.xml: Element-Specific Attributes
DataSources\DataSources.xml: Element-Specific Attributes


--- layout: home background: '/img/castle.jpg' ---
Literary trends are nothing new. In the past thirty years, we’ve seen floods of “wizard school” novels, teenage paranormal romances, dystopian science fiction, and psychological thrillers with featuring troubled young women (The Girl with the Dragon Tattoo, Gone Girl, The Girl on the Train -- you get it).
In the late 18th century, the most sensational literary trend was the "Gothic novel." In the late 18th century, the most sensational literary trend was the "Gothic novel." Building off the popularity of the emotionally-driven “sentimental” and “romantic” novels, this genre distinguished itself by including supernatural elements, historical settings, and high levels of drama. One contemporary writer described the genre in a satirical essay:
This project attempts to visualize some of these trends by processing the data gathered by Ann B. Tracy in her 1981 reference guide, The Gothic Novel 1790--1830: Plot Summaries and Index to Motifs. Using the two hundred and eight novels and chapbooks featured in this work, we will explore the kinds of data visualizations, maps, and textual analyses a bibliographic index can provide.
While investigating the corpus of texts featured in Tracy’s work, we will take a closer look at the four novels that played a key role in shaping the Gothic genre for decades to come (which we will refer to as our “key players):
Widely acknowledged as the first official Gothic novel (mostly due to its second edition bearing the subtitle “A Gothic Story”), this short, melodramatic, action-packed novel combines medievalism, long-lost relatives, and supernatural armor.
Udolpho is probably better known today as the book Catherine Morland is obsessed with in Jane Austen’s Northanger Abbey (which is a contemporary satirical look at the Gothic genre). In any case, this novel cemented Radcliffe’s status as a best-selling author.
In contrast to Udolpho, which emphasizes terror (anticipatory dread) and the sublime (awe-inspiring beauty), The Monk is pure horror (shock and revulsion at experiencing something dreadful). The author was a teenager when he wrote the first draft, and throughout the rest of his writing career could not shake the nickname of “Monk” Lewis.
This novel needs no introduction: it remains popular to this day. It is commonly taught in American public high schools, and is considered to be one of the first science fiction novels.
To modern eyes, these novels are melodramatic, bordering on the ridiculous. But like over-the-top runway looks that rarely make it to department stores as-is, selected elements can be used to great effect in other works. We would not have Wuthering Heights, The Strange Case of Doctor Jekyll and Mr. Hyde, Dracula, and hundreds of other popular stories without the influx of Gothic tales in the late 18th century.


Next: *print-right-margin*, Previous: *print-pretty*, Up: Printer Dictionary
a generalized boolean.
false.
If *print-readably* is true, some special rules for printing objects go into effect. Specifically, printing any object O_1 produces a printed representation that, when seen by the Lisp reader while the standard readtable is in effect, will produce an object O_2 that is similar to O_1. The printed representation produced might or might not be the same as the printed representation produced when *print-readably* is false. If printing an object readably is not possible, an error of type print-not-readable is signaled rather than using a syntax (e.g., the "#<" syntax) that would not be readable by the same implementation. If the value of some other printer control variable is such that these requirements would be violated, the value of that other variable is ignored.
Specifically, if *print-readably* is true, printing proceeds as if *print-escape*, *print-array*, and *print-gensym* were also true, and as if *print-length*, *print-level*, and *print-lines* were false.
If *print-readably* is false, the normal rules for printing and the normal interpretations of other printer control variables are in effect.
Individual methods for print-object, including user-defined methods, are responsible for implementing these requirements.
If *read-eval* is false and *print-readably* is true, any such method that would output a reference to the "#." reader macro will either output something else or will signal an error (as described above).
(let ((x (list "a" '\a (gensym) '((a (b (c))) d e f g))) (*print-escape* nil) (*print-gensym* nil) (*print-level* 3) (*print-length* 3)) (write x) (let ((*print-readably* t)) (terpri) (write x) :done)) |> (a a G4581 ((A #) D E ...)) |> ("a" |a| #:G4581 ((A (B (C))) D E F G)) ⇒ :DONE ;; This is setup code is shared between the examples ;; of three hypothetical implementations which follow. (setq table (make-hash-table)) ⇒ #<HASH-TABLE EQL 0/120 32005763> (setf (gethash table 1) 'one) ⇒ ONE (setf (gethash table 2) 'two) ⇒ TWO ;; Implementation A (let ((*print-readably* t)) (print table)) Error: Can't print #<HASH-TABLE EQL 0/120 32005763> readably. ;; Implementation B ;; No standardized #S notation for hash tables is defined, ;; but there might be an implementation-defined notation. (let ((*print-readably* t)) (print table)) |> #S(HASH-TABLE :TEST EQL :SIZE 120 :CONTENTS (1 ONE 2 TWO)) ⇒ #<HASH-TABLE EQL 0/120 32005763> ;; Implementation C ;; Note that #. notation can only be used if *READ-EVAL* is true. ;; If *READ-EVAL* were false, this same implementation might have to ;; signal an error unless it had yet another printing strategy to fall ;; back on. (let ((*print-readably* t)) (print table)) |> #.(LET ((HASH-TABLE (MAKE-HASH-TABLE))) |> (SETF (GETHASH 1 HASH-TABLE) ONE) |> (SETF (GETHASH 2 HASH-TABLE) TWO) |> HASH-TABLE) ⇒ #<HASH-TABLE EQL 0/120 32005763>
write; prin1; print; pprint; princ, print-unreadable-object
The rules for "similarity" imply that #A or #( syntax cannot be used for arrays of element type other than t. An implementation will have to use another syntax or signal an error of type print-not-readable.
Next: *print-right-margin*, Previous: *print-pretty*, Up: Printer Dictionary


Use the Add All to Map button to add all layers within a topic at once. This will draw faster and generally perform better than adding each layer individually.
If you would like to add layers individually, select a layer and click the Add Layer to Map button on the right. For multiple, dense layers, this option will draw slower but will enable you to change the order of the layers and allow for more detailed interaction within each layer.


WITNESS LIST Higher Education Committee March 7, 2005-2:00P HB 123 For: Camp, Torie (Texas Association Against Sexual Assault) Gaylor, Tom (Texas Municipal Police Association (TMPA)) Sanders, Chris (Self) Sanders, Mary Ann (Self) HB 487 For: de la Torre III, Pedro (UT Watch) Christiansen, Amy (Self) Fizzell, Ben (Young Conservatives of Texas) Harrell, Will (ACLU of Texas, NAACP, LULAC) Piri, Reza (ACLU of Texas) Zucker, Dr. Charles (Texas Faculty Association) HB 993 For: Reed, Shirley A. (South Texas College) Zucker, Dr Charles (Texas Faculty Association) On: Pickelman, John E. (Texas Association of Community Colleges) HB 994 For: Reed, Shirley A. (South Texas College) On: Goeman, James (Texas Higher Education Coordinating Board) Pickelman, John E. (Self and Texas Association of Community Colleges)


Susan Granger's review of "MEET JOE BLACK" (Universal Pictures)
The most audacious thing about this remake of "Death Takes a Holiday" is its length. It's a romantic drama that takes its time with each and every scene. Characters measure each syllable, often speaking in hushed, conspiratorial tones, exchanging long, meaningful glances. At three hours, it's more than twice as long as the original. "Braveheart" and "Titanic" were that length but they had sagas to tell. This is a rather simple, straightforward story - about the inevitability of death and taxes. Bill Parrish (Anthony Hopkins), a wealthy business tycoon, suffers a heart-attack just before his 65th birthday. Around the same time, his gawky daughter Susan (Claire Forlani) meets a charming lawyer (Brad Pitt) at a coffee shop near the hospital where she works as a resident. But she's engaged so they don't exchange names or phone numbers. Immediately afterwards, the young man is abruptly hit by a car - and Death borrows his handsome human form for a brief visit as a mysterious houseguest in the elegant Parrish home. It's a fascinating premise which, despite a quartet of screenwriters, never really goes anywhere beyond "if you haven't loved, you haven't lived." There's no compelling tension or drive. And, instead of going for Capra-esque charm, director Martin Brest ("Scent of a Woman") approaches each scene in a visually stunning yet dreary, reverential mode. Anthony Hopkins is magnificent, making the most of his underwritten role. As enigmatic Death, Brad Pitt wears a look of bemused, almost moronic bewilderment, savoring peanut butter and sampling sexual ecstasy; his best scene is when he speaks with a West Indian accent. On the Granger Movie Gauge of 1 to 10, "Meet Joe Black" is a mild-mannered, languid 5.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


* These gradients are saved locally until the cookies are cleared.
Complementary:
{{complementaryScheme}}Monochromatic:
{{monoScheme[0]}} {{monoScheme[1]}}Split-Complementary:
{{splitScheme[0]}} {{splitScheme[1]}}30 ° Analogous:
{{analogousScheme[0]}} {{analogousScheme[1]}}Triadic:
{{triadicScheme[0]}} {{triadicScheme[1]}}Tetradic:
{{tetradicScheme[0]}} {{tetradicScheme[1]}} {{tetradicScheme[2]}}Square:
{{squareScheme[0]}} {{squareScheme[1]}} {{squareScheme[2]}}This tool allows you to extract a color palette from an image.
You can also try uploading a screenshot of a website.
{{ contrastRatio }}:1
Normal Text
Large Text
Normal Text
Large Text
This tool simulates what an image looks like for individuals with color blindness. You can use it to test the color accessibility of your design.
* If a generator does not work, try another one.
Name: {{ person.person.personal.name }} {{ person.person.personal.last_name }}
Gender: {{ person.person.personal.gender }}
Height: {{ person.person.personal.height }} m
Weight: {{ person.person.personal.weight }} kg
Born City: {{ person.person.personal.born_place }}
Current Country: {{ person.person.personal.country }}
Education: {{ person.person.education.certificate }}, {{ person.person.education.university }}
Position: {{ person.person.work.position }}
Salary: {{ person.person.work.salary }}
Cellphone: {{ person.person.personal.cellphone }}
Email: {{ person.person.online_info.email }}
IP Address: {{ person.person.online_info.ip_address }}
* These are randomly generated fake info.


Shiny App in Python? Bokeh + Jupyter notebook
While I am preparing my Data Science tutorial today, I suddenly have an idea of making an interactive plot with Bokeh and Jupyter notebook. I have a feeling that it’s possible because I was looking at the Bokeh widgets last week and I know that you can link up a Bokeh widget with a plot to change its appearance. It was a brave idea and I am happy with the result.
By doing so, I learn a thing or two about Bokeh and to be honest, this actually reminds me about Shiny in R. A few years ago, my friend and I had a conversation about how useful Shiny is and we wish there is something similar in Python. Here you go! It’s not exactly the same but, in my opinion, after coding in Python full time for a few years, it is better than a Shiny app.
What is Bokeh
For those who do not know Bokeh, it’s an interactive visualisation library for modern web browsers. It allows you to create an interactive graph with just Python (of cause if you can code in JS you will get some bonus control over it). You can render your interactive graph as an html or embedded it in the Jupyter notebook.
If you want to learn more about Bokeh, you can watch my tutorial
Prerequisite
To create something like I did - an interactive plot with Bokeh, you will have to be able to code in basic Python. Have some idea about Bokeh (the documentation is your best friend here).
On top of that, you will have to be able/ happy to write a bit of JavaScript. But don’t worry, you will only need to write some small code snippets of it and it is highly similar to Python.
Let’s get started
In this example, we will create an app that the user can use 2 slider bars to control a line trying to fit the data with the least sum of error square. I call it a linear regression simulator. The sum of error square is re-calculated whenever any of the slider bars are moved. Like this:
So I think the best way is to show you the code then I will explain what we did in the code. Remember I will assume you have some basic idea about using Bokeh here. If you want to learn Bokeh, you can watch my tutorial here. I would also assume you know how to use Jupyter notebook and put the code in the cells and run them.
First, let’s prepare our data:
b = 0.425
A = 0.785
def sum_error_eq(x,y,b,A):
sum_error_sq = 0
for i in range(len(x)):
sum_error_sq += ((b*x[i]+A) - y[i])**2
return sum_error_sq
data = {'X': [1,2,3,4,5], 'Y': [1,2,1.3,3.75,2.25]}
data['b'] = [b] * len(data['X'])
data['A'] = [A] * len(data['X'])
data['Y pred'] = list(map(lambda X: X * b + A, data['X']))
Here we have a preset value of b
and A
, these are the slope and the intercept of the line that we are going to create in the graph. We also have a function sum_error_eq
to calculate the sum of error square. Unfortunately, we cannot reuse this function in our JS code snippets and will have to implement the same in JS.
Then we have a dictionary that is the data. Originally in my notebook I use pandas, but I think I will take away another prerequisite by just using a dictionary here. Note that we have ‘Y’, which is for the actual points that we are going to plot with circle
in Bokeh and ‘Y pred’ which is the “predicted” Y form the line equation:
Y’ = Xb + A
this will be used in the interactive line plot in Bokeh.
Next, we want to make the plot:
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, CustomJS, Slider, Div
from bokeh.plotting import figure, output_notebook, show
output_notebook()
source = ColumnDataSource(data)
plot = figure(plot_width=400, plot_height=200, x_range=[0,6], y_range=[0,5])
plot.line(x='X', y='Y pred', source=source, line_width=3, line_alpha=0.6)
plot.circle(x='X', y='Y', source=source, size=10, color="green", alpha=0.5)
callback_b = CustomJS(args=dict(source=source), code="""
var data = source.data;
var b_val = cb_obj.value
var b = data['b']
var A = data['A']
var x = data['X']
var y = data['Y pred']
for (var i = 0; i < x.length; i++) {
b[i] = b_val
y[i] = b[i] * x[i] + A[i]
}
source.change.emit();
""")
callback_A = CustomJS(args=dict(source=source), code="""
var data = source.data;
var A_val = cb_obj.value
var b = data['b']
var A = data['A']
var x = data['X']
var y = data['Y pred']
for (var i = 0; i < x.length; i++) {
A[i] = A_val
y[i] = b[i] * x[i] + A[i]
}
source.change.emit();
""")
div = Div(text="Sum of error sq: "+ str(sum_error_eq(data['X'],data['Y'], b, A)))
change_text = CustomJS(args=dict(div=div, source=source), code="""
var data = source.data;
var y_pred = data['Y pred'];
var y = data['Y'];
var result = 0;
for (var i = 0; i < y.length; i++) {
var diff = y_pred[i] - y[i]
result = result + diff * diff
}
div.text = "Sum of error sq: " + result;
"""
)
slider_b = Slider(start=0, end=4, value=b, step=.1, title="value of b")
slider_b.js_on_change('value', callback_b, change_text)
slider_A = Slider(start=0, end=4, value=A, step=.1, title="value of A")
slider_A.js_on_change('value', callback_A, change_text)
layout = column(slider_b, slider_A, plot, div)
show(layout)
Okay, that’s quite a big chunk of code here, let’s crack it down bit by bit:
output_notebook()
This lets you output your “app” inline in the Jupyter notebook, If you want to export it as an html and embedded in your blog (like I did above) you can use output_file
instead.
source = ColumnDataSource(data)
This creates a source with the data that we have, a source created with ColumnDataSource
can let you pass this data to the Bokeh plots and JS Callbacks (that we will explain later).
plot = figure(plot_width=400, plot_height=200, x_range=[0,6], y_range=[0,5])
plot.line(x='X', y='Y pred', source=source, line_width=3, line_alpha=0.6)
plot.circle(x='X', y='Y', source=source, size=10, color="green", alpha=0.5)
Here we are creating the plot, with the interactive line and the circle. Note that the line here is not interactive yet but we will use the JS callback to change the data in the source so it will change with the slider when we hook up the callbacks with the slider bars.
callback_b = CustomJS(args=dict(source=source), code="""
var data = source.data;
var b_val = cb_obj.value
var b = data['b']
var A = data['A']
var x = data['X']
var y = data['Y pred']
for (var i = 0; i < x.length; i++) {
b[i] = b_val
y[i] = b[i] * x[i] + A[i]
}
source.change.emit();
""")
callback_A = CustomJS(args=dict(source=source), code="""
var data = source.data;
var A_val = cb_obj.value
var b = data['b']
var A = data['A']
var x = data['X']
var y = data['Y pred']
for (var i = 0; i < x.length; i++) {
A[i] = A_val
y[i] = b[i] * x[i] + A[i]
}
source.change.emit();
""")
These are the callbacks that we will be hooking up the slider bars. There is one for each. You can see that we pass the source in the JS code snippets and we change it according to the the value that we received in the slider bar. The snippets above are when b
slider bar’s value has been changed and the one below is for A
div = Div(text="Sum of error sq: "+ str(sum_error_eq(data['X'],data['Y'], b, A)))
change_text = CustomJS(args=dict(div=div, source=source), code="""
var data = source.data;
var y_pred = data['Y pred'];
var y = data['Y'];
var result = 0;
for (var i = 0; i < y.length; i++) {
var diff = y_pred[i] - y[i]
result = result + diff * diff
}
div.text = "Sum of error sq: " + result;
"""
)
Here we created a Div
object, it is just like a <div>
session in your html. The text
will actually be interpreted as html. We also created another callback, this one is actually for changing the text
in the div
. Note that in the for-loop here we are doing exactly the same thing as sum_error_eq
but in JS.
slider_b = Slider(start=0, end=4, value=b, step=.1, title="value of b")
slider_b.js_on_change('value', callback_b, change_text)
slider_A = Slider(start=0, end=4, value=A, step=.1, title="value of A")
slider_A.js_on_change('value', callback_A, change_text)
Now we can create the Slider
bars and hook them up with js_on_change
layout = column(slider_b, slider_A, plot, div)
show(layout)
Finally, we create the layout will all our components inside and show
it.
How can I make a dark one like the gif?
Yes, there’s two things that I have done to make it “dark theme”. First, I use Jupyter Themes to give my Jupyter a new look. The theme that I used is monokai
. Then I use the night_sky
theme from Bokeh (by the way, I made this theme).
I hope you had fun and will keep on exploring this cool functionality of Bokeh. If you have my tutorials, you can now watch them here. If you want to catch me streaming live, follow me on Twitch.


Source code for pypospack.qois.lammps_stacking_fault
from collections import OrderedDict
from pypospack.qoi import Qoi
[docs]class StackingFaultEnergyCalculation(Qoi):
"""calculator of stacking fault energies
Args:
qoi_name(str): the unique identifier of the quantity of interest
structures(OrderedDict): key is the structure id name, and value is the
absolute path of the structure file
"""
qois_calculated = ['E_stacking_fault']
qoi_type = 'lmps_stacking_fault'
def __init__(self, qoi_name, structures):
assert type(qoi_name) is str
assert type(structures) is OrderedDict
assert 'ideal' in structures
assert 'defect' in structures
qoi_type = StackingFaultEnergyCalculation.qoi_type
Qoi.__init__(self,qoi_name=qoi_name,qoi_type=qoi_type,structures=structures)
[docs] def determine_tasks(self):
""" determine the tasks of the simulation
This method is overridden from the base class.
Note:
The first task is structural and atomic position relaxation of
ideal bulk. This task is executed first, and the lattice
parameters are passed to the second simulation which is
the calculation of the energy of the stacking fault structure.
"""
# ideal bulk simulation
_ideal_structure_name = self.structures['ideal']
_ideal_task_type = 'lmps_min_all'
_ideal_task_name = '{}.{}'.format(
_ideal_structure_name,
_ideal_task_type)
_bulk_structure_name= None
self.add_task(
task_type=_ideal_task_type,
task_name=_ideal_task_name,
task_structure=_ideal_structure_name,
bulk_structure_name=_bulk_structure_name)
# stacking fault structure simulation
_defect_structure_name = self.structures['defect']
_defect_task_type = 'lmps_min_sf'
_defect_task_name = '{}.{}'.format(
_defect_structure_name,
_defect_task_type)
_bulk_structure_name=self.structures['ideal']
self.add_task(
task_type=_defect_task_type,
task_name=_defect_task_name,
task_structure=_defect_structure_name,
bulk_structure_name=_bulk_structure_name)
[docs] def calculate_qois(self,task_results):
_prefix = '{}.{}'.format(
self.structures['defect'],
self.qoi_type)
s_name_defect = self.structures['defect']
s_name_bulk = self.structures['ideal']
e_defect = task_results["{}.lmps_min_sf.toten".format(s_name_defect)]
e_bulk = task_results["{}.lmps_min_all.toten".format(s_name_bulk)]
n_atoms_defect = task_results["{}.lmps_min_sf.natoms".format(s_name_defect)]
n_atoms_bulk = task_results["{}.lmps_min_all.natoms".format(s_name_bulk)]
a1 = task_results["{}.lmps_min_sf.a11".format(s_name_defect)]
a2 = task_results["{}.lmps_min_sf.a22".format(s_name_defect)]
e_stack = (e_defect - n_atoms_defect/n_atoms_bulk*e_bulk)/(a1*a2)
self.qois = OrderedDict()
self.qois['{}.E_stacking_fault'.format(_prefix)] = e_stack


这是陈乔恩
she is very beautiful!
这是陈乔恩
she is very beautiful!
这是陈乔恩
she is very beautiful!
这是陈乔恩
she is very beautiful!


Congo president says Ebola outbreak should be over this year
BERLIN (Reuters) - An outbreak of Ebola in eastern Democratic Republic of Congo should be eradicated by the end of 2019, Congolese President Felix Tshisekedi said on Friday.
The epidemic in Congo was declared in August 2018 and has so far killed nearly 2,200 people, making it the second-worst outbreak of the virus on record behind the 2013-16 West African outbreak that killed more than 11,300.
The rate of new cases has fallen substantially in recent weeks, according to government data.
“There are still a few isolated cases in Ituri (province) but we think that by the end of the year we can completely stop that,” Tshisekedi said at a news conference in Berlin alongside German Chancellor Angela Merkel.
New vaccines and treatments have helped contain the outbreak, but public mistrust and armed conflict in eastern Congo have hampered the response.


Plugin Information |
|---|
View CORS support on the plugin site for more information. |
CORS Filter Plugin
This plugin supports cross-site http requests to Jenkins.
Simple GET Request/response
GET /api HTTP/1.1 Origin: http://foo.example Host: bar.other HTTP/1.1 200 OK Date: Mon, 01 Jan 2015 00:23:53 GMT Server: Apache/2.0.61 Access-Control-Allow-Origin: http://foo.example [some data]
Non-GET (or POST,PUT etc...) methods
OPTIONS /api/json HTTP/1.1 Host: bar.other Origin: http://foo.example Access-Control-Request-Method: POST Access-Control-Request-Headers: X-PINGOTHER HTTP/1.1 200 OK Access-Control-Allow-Origin: http://foo.example Access-Control-Allow-Methods: POST, GET, OPTIONS Access-Control-Allow-Headers: X-PINGOTHER Access-Control-Max-Age: 1728000 POST /api/json HTTP/1.1 Host: bar.other X-PINGOTHER: pingpong Content-Type: text/json; charset=UTF-8 Referer: http://foo.example/getJobs.html Origin: http://foo.example [some data here] HTTP/1.1 200 OK Access-Control-Allow-Origin: http://foo.example Content-Type: text/json {some json data here}
Attachments:
Screen Shot 2015-06-03 at 2.07.09 PM.png (image/png)
Screen Shot 2015-06-03 at 2.22.18 PM.png (image/png)
Screen Shot 2015-12-17 at 10.54.54 PM.png (image/png)
Screen Shot 2015-06-03 at 2.22.18 PM.png (image/png)
Screen Shot 2015-12-17 at 10.54.54 PM.png (image/png)


Lyon’s victory in Bayelsa turning point for APC-Akeredolu
Agency Reporter
Gov. Oluwarotimi Akeredolu of Ondo State on Monday congratulated the Governor-elect of Bayelsa, Chief David Lyon, describing his victory in the Saturday’s governorship election as a major turning point for APC.
In a statement signed by Mr Ojo Oyewamide, Senior Special Assistant to Akeredolu on Media and Publicity, in Akure, the governor also congratulated his Kogi counterpart, Alhaji Yahaya Bello, on his re-election.
Akeredolu equally congratulated the APC – All Progressives Congress – for victory in the elections.
“The outcomes of the elections in the two states have, once again, endeared the APC to the hearts of the people.
“It is particularly heart-warming that Alhaji Yahaya Bello is returning as Governor of Kogi. I wish him the best as he continues to lead the good people of the state.
READ ALSO: Obaseki congratulates Lyon, Bello on victory at guber polls
“For Chief David Lyon, the Governor-elect of Bayelsa, his emergence is a major turning point.
“Although, Edo had blazed the trail for long, the journey to plant the seeds of our great party in the Niger Delta has not been easy, understandably.
“The Bayelsa feat is a great leap. All those who toiled to bring to fruition, this comforting berth deserve commendation,” he said.
The governor described APC’s victory in Bayelsa as the needed elixir for the party to take firm roots in the Niger Delta.
“The real victory belongs to those who sacrificed their time and energy for the successful conduct of the two elections.
“Most profoundly, therefore, I specially salute the quality leadership individually provided by Governors Nasir el-Rufai and Abubakar Badaru of Kaduna and Jigawa states, respectively.
“As Chairmen of the APC National Campaign Councils for the two elections, they displayed dexterity on all fronts with candour and thoroughness. All members of both councils deserve no less commendations.
“INEC, security agencies and even the participants also contributed in no small measure to the outcomes,”Akeredolu said.
(NAN)


I’m tenacious, optimistic, quietly confident, and satisfied with excellence.
---
title: About
subtitle: Designer
description: Pavol Mikuláš is a cross-disciplinary designer, creator of Walnut table, Carafe and water glass ONA and White chair.
permalink: /about/
layout: default
published: true
group: about
lang: en
language: English
og-locale: en_US
order: 1
og-image: pavol-mikulas-designer-2017-w1000.jpg
---
I’m tenacious, optimistic, quietly confident, and satisfied with excellence.
I am a senior IC layout engineer at TDK.
I am a member of the hardware team that develops high-performance digital microphones. I’m responsible for crafting tight matching, low-noise, and low-power analog blocks.
I served a six months internship at the R&D of Volkswagen, attended a workshop on the Scuola Politecnica di Design in Milan, and received Slovak National Design Prize.
I also spent two years with Olgoj Chorchoj studio as an industrial designer.
I hold a doctorate in Art from the Slovak University of Technology.
I live and work in Bratislava with my wife Eva and daughters Margareta and Milota.


Sungmin releases more childlike teaser images for his solo debut mini album 'Orgel'
by beansssSungmin has unveiled another set of childlike teaser images for his 1st mini album, 'Orgel'.
Overall, Sungmin's concept images released so far all exude an air of thoughtfulness, hinting at the quiet, acoustic sound of his upcoming title track also called "Orgel". In his newest teasers below, Sungmin can be seen sitting in thought on a large newspaper boat, or lying idly across sheets of coloring and spelling practice material.
Sungmin's official solo debut with his 1st mini album 'Orgel' is set for this November 22 at 6 PM KST.


http://www.speakers-podium.com/susangranger.
Susan Granger's review of "THE HAUNTING" (DreamWorks)
Eugenio Zanetti is the star of this film, no question about it. He's the production designer who created Hill House, a spectacular Gothic mansion that delivers one helluva performance as an ominous haunted house that captures the imaginations of its guests. Zanetti makes rooms collapse, even fold into themselves, and there's a demonic bed whose canopy descends with tentacles like an octopus. Paintings, carvings, statues, even curtains come alive. And there's the slow, ghostly breathing emanating from deep inside. The question is: why would Liam Neeson, Catherine Zeta-Jones, and Lili Taylor want to play second-fiddle to such an incredible creation that, in fact, makes them seem wooden? Looking terrified and screaming is really all that's required in David Self's inane script, based on Shirley Jackson's scare-classic, "The Haunting of Hill House." And the stylistic vision of director Jan DeBont ("Speed," "Twister") truly revolves around the special effects. As the story begins, Neeson, as a devious psychologist, brings three insomniacs to Hill House, outside Boston, for what he tells them is a sleep disorder study. In fact, he's designed the experiment to observe the dynamics of fear, explaining: "You don't tell the rats that they're actually in a maze." But his guests do know that, in the 1800s, a satanic textile manufacturer, Hugh Crain, erected this stately "Taj Mahal" for his beloved wife and their eight children, who are all buried nearby. What no one realizes is that Hill House has become Crain's massive physical embodiment. On the Granger Movie Gauge of 1 to 10, "The Haunting" is a spooky 4, playing tricks with your mind as you munch your popcorn. If you're curious, director Robert Wise made a far more subtle, restrained version (1963), available on video.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Successful(value: TARGET)
A successful validation result, containing a valid TARGET value and no ERRORs.


This project will demonstrate some components and basic navigation provided by the Ionic framework.
Just tap one of the following buttons to display different available components.
You can now either navigate to the other pages by clicking on the tabs below or by clicking on the following button. Notice the slightly different behaviour?


Trystan, Glyn,
I'm watching the development of PacketGen with great interest, as I would like the ability to start controlling things in my house including radiators, and the boiler. I am considering switching from the Rock Solid Gateway approach to the Harddrive RPi method.
I'm not sure where this has got to, but can you advise on the possibility of doing the following;
1. Time clock control. E.g., to be able to switch radiators on/off at certain times, in different rooms.
2. Remote access control- I note you have included packetgen for the "Raspberry Pi + Harddrive + Emoncms" option, which doesn't allow remote access from the web. As you say, it is good to have the control 'brains' local to the hardware in case the internet connection dropped out. But on the other hand it would be really useful to be able to change settings from somewhere else in the world- e.g., to switch the boiler/heating/hot water on or off if I plan to stay late at work!
3. Respond to sensed values in field devices. Generally I think it is good to have distributed intelligence in the system i.e., each field device (be it an emonTX or some modified version thereof) being programmed to drive actuators (e.g., heating valves) according to sensed values. But it might also be appropriate sometimes to have these calculations done by emoncms. For example, if I detect low external temperatures from an externally location sensor node, I might want to fire my boiler earlier, and thus send a control signal to a different device (i.e., the one next to the boiler).
On 3, as I understand it is possible to broadcast from one device (e.g., emonTX) to ALL other devices. So I could get external temp data sent from one node to another without having to go through emoncms. Is there mileage here?
Interested to hear your thoughts (or to discover that the above is possible already!)
Chris
Re: PacketGen
Hello Chris
Thanks for the interest, yes time clock control would be great to do or maybe temperature curve based control? you could draw using a series of sliders the temperature you want in the room at different hours of the day?
Remote access can be done by using port forwarding on your router, this wikihow here covers it pretty well http://www.wikihow.com/Set-Up-Port-Forwarding-on-a-Router
Point 3 also needs some work but yes agreed it would be good and also I agree on distributed intelligence for most of it and emoncms for the things that cant be done on the nodes themselves as you say.
At the moment there are these basic examples built on top of packetgen http://openenergymonitor.blogspot.co.uk/2013/12/emoncms-control-developm... the more advanced things need to be added.
Re: PacketGen
Hi Trystan,
Yes, you're right, you'd want to be able to control the setpoint to vary across the day, with a 'setback' temperature (or off if you want) when the heating not required.
By the way, I've been using one of these actuators to control a radiator from an Arduino;
http://www.heatingcontrolsonline.co.uk/emmeti-m-20.html/normally-open-th...
I have the normally closed version (24V=valve opened). Saves the trouble of using motorised valves (=noise and positional feedback issues). You would need a relay with 5V input to switch the supply to the valve (I've actually used an h-bridge motor driver, as the current is small). I'll soon be logging room temps to see how well the valve controls temperature.
Thanks for the info on port forwarding, I will take a look.
Chris
Re: PacketGen
The actuator looks interesting, how do you install it, I checked the manufacturer's website but it wasn't clear how it works.
Re: PacketGen
Hi there,
You fit it like a normal TRV head, it just screws on. You have to have the right type of valve or use an adapter. Best to check with them.
Re: PacketGen
I assume the loss from running some kind of transformer and powering the radiators is more than offset by the gains in not heating when you don't need to. Ultimately something I'd quite like to do... how do you power at 24V?
Re: PacketGen
OK thanks, I don't have any TRVs here just standard on/off valves so probably not an option for me.
Re: PacketGen
Yes, the numbers are pretty good. The device uses 3W, I expect the transformer uses a similar amount, but need to test this. For a 1000W radiator you're looking at less than 1% extra energy use.
To control the 24V supply you can used an arduino compatible relay which uses a 5V signal to switch 24V. I'm actually using a h-bridge motor driver which I built onto a prototype board. I'll post some details soon.
Re: PacketGen
As a basic concept of time clock control I've put together a script that updates packetgen with the desired heating state and setpoint for a given day of the week and time of day. No GUI yet but fairly easy to change the settings in the script.
I have attached it below:
To run it just run $ php scheduler.php
Here's the main logic:
The script needs to run all the time and would be something ran as a service script. Another approach would be to run it as cron but then your limited to 1 minute updates.
Re: PacketGen
Trystan,
I'm not familiar with PHP yet, but makes sense.
The next step would be to set up separate schedules for each room (times and temps), which I guess could be done by adding more variables to the above.
Going back to Schism's comment- it would be quite easy to set up monitoring of the boiler flow pipe as a means of determining when the heating is on (e.g., if it rises above 40deg or so). This could then be broadcast to any radiator controllers to tell them to switch on, and would save the actuators being needlessly on when there was no heat in the system.
Obviously if the script above can be developed that will provide the required function anyway.


The Wizard of Gore
USA. 1970. Director/Producer - Herschell Gordon Lewis, Screenplay - Allen Kahn, Photography - Alex Ameri & Daniel Krogh, Music - Larry Wellington, Special Effects - Herschell Gordon Lewis, Allison Louise Downe, Robert Lewis & Vickie Miles. Production Company - Mayflower Pictures. Ray Sager (Montag the Magnificent), Judy Cler (Sherry Carson), Wayne Ratay (Jack Ward)
Plot: The stage magician Montag the Magnificent gains attention with his stage act which involves the gory impalement and dismemberment of hypnotzied women -before each act of slaughter is revealed to the audience to all be an illusion. A reporter and his tv critic girlfriend investigate when they find that Montag's stage volunteers are each dying after the performance in exactly the same way as Montag pretends to dismember them on stage.
Beginning with `Blood Feast' in 1963, director Herschell Gordon Lewis created the splatter film. Lewis's films are really like porn films. But where porn films are staged around providing a set variety of procreational activities in great detail every few minutes, Lewis's films fixate around the body of a particular individual, usually a woman, who in great detail is dismembered or torn apart every few minutes. `The Wizard of Gore' features some really heavy-duty gore - in a variant on the old sawing a woman in half trick, a magician chainsaws a woman in half; swords are impaled down throats; holes punched through bodies with drill presses; and in the most perverse of all effects - a spike pounded into a woman's head and then her brains pulled out, the magician even reaching in with considerable glee to pop out one of her eyeballs. The lack of conviction to the effects - an appallingly unconvincing dummy head that the spike is pounded into head, the swords down the throat being seen to bend - do not in any way undermine the full-on shock value that Lewis's gore has.
Lewis's films are the sort that leave you constantly wondering what possible socially redeeming values they have. Indeed `The Golden Turkey Awards' nominated Lewis for the lifetime achievement as worst director of all time - only to be beaten out by Edward D. Wood Jr. `Wizard' is filled with all sorts of bad movie-making fascination. Lewis develops this bizarrely heavy-handed style every time he wants to achieve directorial effect - cuts to closeups of Ray Sager's eyebrows and hat filling the whole screen every time the audience are supposed to be being hypnotized or else bizarrely abrupt (and unintentionally funny) cuts in the music to signal the change between illusion and a return to reality. Ray Sager gives an amazingly bad performance with eyes wide open and enunciating everything in virtual upper case.
`Wizard' is usually regarded as the best of Lewis's films because it has a playful double-structure that flips back and forward between reality and illusion and at the end even starts to toy with the illusion of the film itself - something which has given the film a certain academic legitimacy. This play of illusion proves undeniably fascinating and never more so than the bizarre ending where the heroine and her boyfriend start making out and he turns back into the dead magician and then, in a moment of solipsistic ingenuity, she decides he is really an illusion and thinks him out of existence. Finally the magician turns directly to the camera to taunt the audience, telling them to make sure that this might not all be an illusion that what they have been watching is a film. Between its sheer shoddiness of production values, its gut-churning but somehow not offensive extremes, and weirdly fascinating and equally pretentious play of film, illusion and reality, `Wizard' proves an undeniably appealing.
Screening at the Christchurch 1998 Incredibly Strange Film Festival Reviewed by Richard Scheib
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Using yoob.Tape as a Stack Demo
Push 0
Push 1
Pop
Peek
Size?
Your browser doesn't support displaying an HTML5 canvas.


--- component: { name: waypoint, package: akyral-waypoint, type: utility } page: waypoint template: base.html title: Waypoint ---
Akyral-waypoint allows you to use an element as marker to trigger javascript functionality. When an akyral-waypoint reaches the top of the page, it will trigger events denoting the direction in which it was crossed to.
A data attribute may also be defined allowing data to be passed along with the events.
Any waypoint that is added to the dom is collected for calculation. On scroll, all waypoint positions
are evaluated to determine whether a akyral-waypoint-above
or
akyral-waypoint-below
event should be triggered. Crossing through a
waypoint will alway trigger the akyral-waypoint-crossed
event.
This section will trigger when the waypoint reaches the top
of the page.
The last event triggered for this waypoint was none
.
This section will trigger when the waypoint is with 100px
of the top
of the page.
The last event triggered for this waypoint was none
.


Dragon BASIC, online at Official Website
Keywords List AND CASE DATA DEFAULT DIM DOWNTO ELSE END EXIT FOR FUNCTION IF INTERRUPT LOOP MAP MOD NAND NEXT NOT NOR OR READ RESET RESTORE RETURN REPEAT SELECT SL SR STEP SUB THEN TO UNTIL WHILE XOR
Keywords List


Device Name:
Auth UUID:
Connect Take Picture Disconnect
Device Status: Name: {{bluetooth.device.name}}, Connected: {{bluetooth.device.gatt.connected}}, Battery Level: {{deviceBatteryLevel}}
{{message}}


Properties
Stroke Color
Fill Color
Stroke Size
Fill Opacity
File
Tools
Pen
Eraser
Line
Rectangle
Circle
Image
Commands
Clear
History
Name


Last updated: 2017-10-23
Code version: 660b1f3
Teacher: Cas Kruitwagen<EMAIL_ADDRESS>library(data.table)
Warning: package 'data.table' was built under R version 3.4.2
library(amstR)
library(magrittr)
library(ggplot2)
Basic steps
Authors: Teasdal et al.
Research question
Old: mean age 71.1 Young: mean age 24.8
Variables FB: forwards / backwards motion (mm) SS: Side-to-side motion (mm) Age-group
load(amstR::fromParentDir("data/balance.RData"))
summary(balance)
FB SS age
Min. :14.00 Min. :10.00 Elderly:9
1st Qu.:17.00 1st Qu.:14.00 Young :8
Median :21.00 Median :17.00
Mean :22.47 Mean :18.88
3rd Qu.:25.00 3rd Qu.:21.00
Max. :50.00 Max. :41.00
head(balance)
FB SS age
1 19 14 Elderly
2 30 41 Elderly
3 20 18 Elderly
4 19 11 Elderly
5 29 16 Elderly
6 25 24 Elderly
boxplot(FB~age, data = balance)
boxplot(SS~age, data = balance)
# pairs(balance)
Distributions in scatterplot
with(balance,
amstR::marginal_plot(x = FB,
y = SS,
group = age))
Loading required package: scales
t.test(balance$FB)
One Sample t-test
data: balance$FB
t = 10.852, df = 16, p-value = 8.705e-09
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
18.08099 26.86019
sample estimates:
mean of x
22.47059
t.test(FB~age, data = balance)
Welch Two Sample t-test
data: FB by age
t = 2.3035, df = 10.971, p-value = 0.04183
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.3627401 16.0539266
sample estimates:
mean in group Elderly mean in group Young
26.33333 18.12500
t.test(SS~age, data = balance)
Welch Two Sample t-test
data: SS by age
t = 1.9228, df = 10.5, p-value = 0.08204
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1.07436 15.26880
sample estimates:
mean in group Elderly mean in group Young
22.22222 15.12500
t.test(balance$FB, balance$SS, paired = T)
Paired t-test
data: balance$FB and balance$SS
t = 2.2494, df = 16, p-value = 0.03892
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.2066374 6.9698332
sample estimates:
mean of the differences
3.588235
t.test(balance$FB - balance$SS)
One Sample t-test
data: balance$FB - balance$SS
t = 2.2494, df = 16, p-value = 0.03892
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
0.2066374 6.9698332
sample estimates:
mean of x
3.588235
Quin(1988) Effect of season (winter/spring and summer/autumn) and adult density (8, 15, 30, 45 per 225cm^2 enclosure), on prudiction of egg masses by intertidal pulmona limpets (Siphonaria diemenensis)
3 replicates per exposure situation
load(fromParentDir("data/eggs.Rdata"))
summary(limpet.eggs)
season density eggs
spring:12 Min. : 8.00 Min. :0.3560
summer:12 1st Qu.:13.25 1st Qu.:0.9165
Median :22.50 Median :1.4330
Mean :24.50 Mean :1.4717
3rd Qu.:33.75 3rd Qu.:1.9227
Max. :45.00 Max. :2.8750
boxplot(eggs~season, data = limpet.eggs)
boxplot(eggs~as.factor(density), data = limpet.eggs)
boxplot(eggs~season*density, data = limpet.eggs,
col = c("blue","red"))
limpet.eggs %>%
ggplot(aes(x = as.factor(density), y = eggs, col = season)) +
geom_boxplot() +
geom_point()
fit0 <- lm(eggs~season + density, data = limpet.eggs)
fit1 <- lm(eggs~season + density + season*density, data = limpet.eggs)
summary(fit0)
Call:
lm(formula = eggs ~ season + density, data = limpet.eggs)
Residuals:
Min 1Q Median 3Q Max
-0.66324 -0.24009 -0.04174 0.27996 0.56676
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.62602 0.18116 14.496 2.08e-12 ***
seasonsummer -0.73600 0.16280 -4.521 0.000187 ***
density -0.03209 0.00571 -5.621 1.41e-05 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.3988 on 21 degrees of freedom
Multiple R-squared: 0.7125, Adjusted R-squared: 0.6851
F-statistic: 26.02 on 2 and 21 DF, p-value: 2.072e-06
summary(fit1)
Call:
lm(formula = eggs ~ season + density + season * density, data = limpet.eggs)
Residuals:
Min 1Q Median 3Q Max
-0.65468 -0.25021 -0.03318 0.28335 0.57532
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.664166 0.234118 11.380 3.45e-10 ***
seasonsummer -0.812282 0.331092 -2.453 0.023450 *
density -0.033650 0.008259 -4.074 0.000591 ***
seasonsummer:density 0.003114 0.011680 0.267 0.792533
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.4079 on 20 degrees of freedom
Multiple R-squared: 0.7135, Adjusted R-squared: 0.6705
F-statistic: 16.6 on 3 and 20 DF, p-value: 1.186e-05
plot(fit0)
Reation between calcium in cells (platetelet) and blood pressure * 38 subjects with normal blood pressure * Blood pressure (average of systolic and diastolic blood pressure) * Free calcium concentration in blood platelets
load(fromParentDir("data/bloodpressurecalcium.RData"))
plot(calcium~bp, data = bloodpressurecalcium)
fit0 <- lm(calcium~bp, data = bloodpressurecalcium)
summary(fit0)
Call:
lm(formula = calcium ~ bp, data = bloodpressurecalcium)
Residuals:
Min 1Q Median 3Q Max
-40.098 -4.795 2.808 7.637 22.714
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2.2009 25.6452 -0.086 0.932083
bp 1.1648 0.2704 4.307 0.000122 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 13.24 on 36 degrees of freedom
Multiple R-squared: 0.3401, Adjusted R-squared: 0.3217
F-statistic: 18.55 on 1 and 36 DF, p-value: 0.0001219
plot(fit0)
cor.test(~bp+calcium, data = bloodpressurecalcium)
Pearson's product-moment correlation
data: bp and calcium
t = 4.3071, df = 36, p-value = 0.0001219
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
0.3238485 0.7609758
sample estimates:
cor
0.5831581
Air pollution with sulfur dioxide, \(SO_{2}\)
load(fromParentDir("data/so2.RData"))
summary(so2)
city SO2 temp
Albany : 1 Min. : 8.00 Min. :43.50
Albuquerque : 1 1st Qu.: 13.00 1st Qu.:50.60
Atlanta : 1 Median : 26.00 Median :54.60
Baltimore : 1 Mean : 30.05 Mean :55.76
Buffalo : 1 3rd Qu.: 35.00 3rd Qu.:59.30
Charleston : 1 Max. :110.00 Max. :75.50
(Other) :35
factories population wind rainfall
Min. : 35.0 Min. : 71.0 Min. : 6.000 Min. : 7.05
1st Qu.: 181.0 1st Qu.: 299.0 1st Qu.: 8.700 1st Qu.:30.96
Median : 347.0 Median : 515.0 Median : 9.300 Median :38.74
Mean : 463.1 Mean : 608.6 Mean : 9.444 Mean :36.77
3rd Qu.: 462.0 3rd Qu.: 717.0 3rd Qu.:10.600 3rd Qu.:43.11
Max. :3344.0 Max. :3369.0 Max. :12.700 Max. :59.80
daysrain region
Min. : 36.0 Southeast :12
1st Qu.:103.0 Northeast : 8
Median :115.0 Midwest/West:21
Mean :113.9
3rd Qu.:128.0
Max. :166.0
head(so2)
city SO2 temp factories population wind
1 Chicago 110 50.6 3344 3369 10.4
2 Providence 94 50.0 343 179 10.6
3 Philadelphia 69 54.6 1692 1950 9.6
4 Cleveland 65 49.7 1007 751 10.9
5 Pittsburg 61 50.4 347 520 9.4
6 Hartford 56 49.1 412 158 9.0
rainfall daysrain region
1 34.44 122 Midwest/West
2 42.75 125 Northeast
3 39.93 115 Northeast
4 34.99 155 Midwest/West
5 36.22 147 Northeast
6 43.37 127 Northeast
plot(SO2~temp, data = so2)
boxplot(SO2~region, data = so2)
pairs(so2[, setdiff(colnames(so2), c("city"))])
fit_all <- lm(
reformulate(termlabels = setdiff(colnames(so2), c("SO2", "city", "factories")),
response = "SO2"),
data = so2)
plot(fit_all)
summary(fit_all)
Call:
lm(formula = reformulate(termlabels = setdiff(colnames(so2),
c("SO2", "city", "factories")), response = "SO2"), data = so2)
Residuals:
Min 1Q Median 3Q Max
-32.400 -9.294 -2.339 5.545 50.205
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 125.532414 52.913071 2.372 0.0237 *
temp -1.625661 0.680174 -2.390 0.0227 *
population 0.022152 0.004746 4.668 4.89e-05 ***
wind -3.421554 2.227788 -1.536 0.1341
rainfall 0.469813 0.486524 0.966 0.3412
daysrain -0.051768 0.182500 -0.284 0.7784
regionNortheast 18.235267 9.297707 1.961 0.0583 .
regionMidwest/West -1.829305 9.703580 -0.189 0.8516
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 16.4 on 33 degrees of freedom
Multiple R-squared: 0.5974, Adjusted R-squared: 0.512
F-statistic: 6.996 on 7 and 33 DF, p-value: 3.922e-05
sessionInfo()
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
Matrix products: default
locale:
[1] LC_COLLATE=Dutch_Netherlands.1252 LC_CTYPE=Dutch_Netherlands.1252
[3] LC_MONETARY=Dutch_Netherlands.1252 LC_NUMERIC=C
[5] LC_TIME=Dutch_Netherlands.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] scales_<IP_ADDRESS>00 ggplot2_<IP_ADDRESS>00 magrittr_1.5
[4] amstR_0.1.3 data.table_1.10.4-2
loaded via a namespace (and not attached):
[1] Rcpp_0.12.12 survcomp_1.27.0 compiler_3.4.1
[4] RColorBrewer_1.1-2 git2r_0.19.0 plyr_1.8.4
[7] tools_3.4.1 digest_0.6.12 evaluate_0.10.1
[10] tibble_1.3.4 gtable_0.2.0 lattice_0.20-35
[13] rlang_0.1.2 Matrix_1.2-10 yaml_2.1.14
[16] prodlim_1.6.1 bootstrap_2017.2 stringr_1.2.0
[19] knitr_1.17 SuppDists_1.1-9.4 rprojroot_1.2
[22] grid_3.4.1 survival_2.41-3 rmarkdown_1.6
[25] lava_1.5.1 rmeta_2.16 backports_1.1.0
[28] htmltools_0.3.6 survivalROC_1.0.3 splines_3.4.1
[31] colorspace_1.3-2 labeling_0.3 KernSmooth_2.23-15
[34] stringi_1.1.5 lazyeval_0.2.0 munsell_0.4.3
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Please be aware, settings on this screen affect the entire cluster. This may cause unexpected behavior, including data-loss, and prevent normal operation of service.
Disable IO requests to all OSDs in cluster.
Disable backfill operations on cluster.
Prevent Down OSDs from being marked as out.
Disables automatic periodic deep scrub operations on OSDs. May still be initiated on demand.
Disables automatic periodic scrub operations on OSDs. May still be initiated on demand.
Prevent OSDs from booting OSDs from being marked as IN. Will cause cluster health to be set to WARNING.
Be advised the No in flag prevents OSDs from being marked as in on boot and any OSDs that started with the flag set will remain that way until restarted.
Prevent OSDs from automatically getting marked as Up by the monitors. This setting is useful for troubleshooting flapping OSDs.
Disable replication of Placement Groups.
Prevent OSDs from automatically getting marked as Down by the monitors. This setting is useful for troubleshooting flapping OSDs.


To offer a delightful user experience is fundamental to engage potential consumers. So, don't bother them with a complicated sign up is an excellent starting point.
Following this principle, to require just one click in a social button is a great approach.
Sometimes, however, the nature of a service demands more inputs and steps. As an example, it is possible to cite Slack, a successful team collaboration tool.
In the beginning, the process requires the e-mail of the user.
The use of visual metaphor in the sidebar is an elegant strategy to explain what the app does. At the same time, the proper use of the negative space and the typography conveys the idea of simplicity.
For the sake of authentication, a token is sent to the informed email and required during this step.
The one-click method would replace the two previous steps, easing the process. However, to link a social network may expose the internal communication of the company, what makes this approach inappropriate.
The next screen requires a password.
The absence of a confirmation field reveals the designer's search for simplicity. The recuperation of the password, if necessary, can be easily done in the future.
Feedback about the degree of security of the password is provided. In a certain extent, it educates the user about password vulnerabilities.
Some information about the team is required now.
Regarding the user experience, this step doesn't aggregate any value.
Now, the company name is required,
In this stage, the URL of the channel is chosen.
In the end, the user can make invitations or just skip this step, what reduces the bureaucracy of the subscription.
In some degree, the Slack's subscription is long. Nevertheless, the nature of its service reveals this necessity.
At the same time, the careful employment of design strategies, such as the application of visual metaphor and limited usage of input fields by each step, exposes the Slack's intention to make the registration as simple as possible.
For all the reasons presented above, I love Slack sign up approach.


Any Time is Train Time!
Today is
Train Data
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Train Name
Destination
Frequency in Min
First Arrival
Arriving in
Next Arrival
Add New / Change Train Details
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Simple example: simpletest.m
This example demonstrates how to setup a simple photon transport simulation, run it and visualise the result.
Contents
Create a triangular mesh
Function createRectangularMesh is used to setup a simple triangular mesh. The mesh is visualised in the figure below. Each element (a triangle) and boundary element (a line) in the mesh has a unique index that can be used to set their properties. The indices of the boundary elements are shown in the figure.
xsize = 10; % width of the region [mm] ysize = 10; % height of the region [mm] dh = 1; % discretisation size [mm] vmcmesh = createRectangularMesh(xsize, ysize, dh);
Give optical parameters
Constant optical parameters are set troughout the medium.
vmcmedium.absorption_coefficient = 0.01; % absorption coefficient [1/mm] vmcmedium.scattering_coefficient = 1.0; % scattering coefficient [1/mm] vmcmedium.scattering_anisotropy = 0.9; % anisotropy parameter g of % the Heneye-Greenstein scattering % phase function [unitless] vmcmedium.refractive_index = 1.3; % refractive index [unitless]
Create a light source
Set up a 'cosinic' light source to boundary elements number 4,5,6 and 7. This means that the initial propagation direction with respect to the surface normal follows a cosine distribution. The photons are launched from random locations at these boundary elements.
vmcboundary.lightsource(4:7) = {'cosinic'}; % Run the Monte Carlo simulation % Use the parameters that were generated to run the simulation in the mesh. solution = ValoMC(vmcmesh, vmcmedium, vmcboundary);
ValoMC-2D -------------------------------------------- Version: v1.0b-118-g853f111 Revision: 131 OpenMP enabled Using 16 threads -------------------------------------------- Initializing MC2D... Computing... ...done Done
Plot the solution
The solution is given as an array in which the values represent a constant photon fluence in each element. This array can be plotted with Matlab's built-in function patch
patch('Faces',vmcmesh.H,'Vertices',vmcmesh.r,'FaceVertexCData', solution.element_fluence, 'FaceColor', 'flat', 'LineWidth',1.5); hold on; xlabel('[mm]'); ylabel('[mm]'); c = colorbar; % create a colorbar c.Label.String = 'Fluence [W/mm^2]'; hold off


Setup¶
This chapter guides you through a minimal setup. Further options like overriding templates are discussed in later sections.
First, you have to add CRUDlex to your composer.json:
composer require "philiplb/crudlex"
Then comes the actual setup. Currently, only MySQL is supported. Although the database layer is kept in an abstract way, so in future more data stores will come. It relies on the DoctrineServiceProvider which has to be initialized and registered:
$app->register(new Silex\Provider\DoctrineServiceProvider(), array(
'dbs.options' => array(
'default' => array(
'host' => '<yourHost>',
'dbname' => '<yourDBName>',
'user' => '<yourDBUser',
'password' => '<yourDBPassword>',
'charset' => 'utf8',
)
)
));
Now follows the setup of CRUDlex itself. First of all, we create an instance of the MySQLDataFactory, internally taking care of creating MySQL-DB-access objects:
$dataFactory = new CRUDlex\MySQLDataFactory($app['db']);
Now it’s time to register the ServiceProvider itself:
$app->register(new CRUDlex\ServiceProvider(), array(
'crud.file' => __DIR__ . '<yourCrud.yml>',
'crud.datafactory' => $dataFactory
));
The content of the crud.yml (or whatever you name it) will be discussed in the next chapter.
Now it’s time to mount the Controller:
$app->mount('/crud', new CRUDlex\ControllerProvider());
And that’s it. Your CRUD UI should be available now, for example if you defined a book entity in the crud.yml:
http://.../crud/book


 NOCHECK CONSTRAINT all" -- copy table insert into dbo.NewTable select * from [Mvno].[dbo].[bs_NewTable] -- enable constraints exec sp_msforeachtable @command1="print '?'", @command2="ALTER TABLE ? WITH CHECK CHECK CONSTRAINT all"
USE eSignatur; BACKUP DATABASE eSignatur TO DISK = 'c:tempeSignatur.Bak' WITH FORMAT, MEDIANAME = 'C_SQLServerBackups', NAME = 'Full Backup of eSignatur';
See http://msdn.microsoft.com/en-us/library/cc278098(v=sql.100).aspx and http://ask.sqlservercentral.com/questions/28447/testing-tde-encryption-sql-2008.html..
 Database encryption_state 3 means that the encryption process has completed.
From http://technet.microsoft.com/en-us/library/ms345483.aspx.
ALTER DATABASE SignProxy SET OFFLINE GO ALTER DATABASE SignProxy MODIFY FILE (name = SignProxy, filename ='C:Program FilesMicrosoft SQL ServerMSSQL11.SQLEXPRESSMSSQLDATASignProxy.mdf') GO ALTER DATABASE SignProxy MODIFY FILE (name = SignProxy_Log, filename ='C:Program FilesMicrosoft SQL ServerMSSQL11.SQLEXPRESSMSSQLDATASignProxy_log.ldf'); GO ALTER DATABASE SignProxy SET ONLINE GO -- Verify SELECT name, physical_name AS CurrentLocation, state_desc FROM sys.master_files WHERE database_id = DB_ID(N'SignProxy') GO
-- see files used (use below) USE master; RESTORE FILELISTONLY FROM DISK = 'c:tempeSignatur.bak'; -- restore to alternate destination RESTORE DATABASE eSignatur FROM DISK = 'c:tempeSignatur.bak' WITH MOVE 'eSignatur' TO 'c:eSignaturdbtt_eSignatur_Data.mdf', MOVE 'eSignatur_log' TO 'c:eSignaturdbtt_eSignatur_log.ldf', FILE = 1, RECOVERY;
USE master; RESTORE DATABASE eSignatur FROM DISK = 'c:tempeSignatur.Bak' WITH FILE = 1, RECOVERY;
You may have to rebind a login to a user in the database:
USE [database-name]; ALTER USER user WITH LOGIN = user;
select SQL_Server_Version = @@version, SQL_Server_Edition = serverproperty('Edition'), SQL_Server_Name = serverproperty('ServerName'), Database_Name = a.Name, Maximum_Database_Size_MB = case when serverproperty('EngineEdition') in (1, 4) then case when cast(serverproperty('ProductVersion') as nvarchar(128)) like '8.%' then '2048 MB' when cast(serverproperty('ProductVersion') as nvarchar(128)) like '9.%' then '4096 MB' when cast(serverproperty('ProductVersion') as nvarchar(128)) like '10.0%' then '4096 MB' else '10240 MB' end else 'Effectively no limit' end, Data_Size_MB = convert(decimal(12,2),round(fileproperty(a.name,'SpaceUsed')/128.000,2)), Available_Growth_MB = case when serverproperty('EngineEdition') in (1, 4) then case when cast(serverproperty('ProductVersion') as nvarchar(128)) like '8.%' then 2048 when cast(serverproperty('ProductVersion') as nvarchar(128)) like '9.%' then 4096 when cast(serverproperty('ProductVersion') as nvarchar(128)) like '10.0%' then 4096 else 10240 end end - convert(decimal(12,2),round(fileproperty(a.name,'SpaceUsed')/128.000,2)) from sys.sysfiles a where a.name not like '%_log';
use esignatur; -- Size before select Data_Size_MB = convert(decimal(12,2),round(fileproperty(a.name,'SpaceUsed')/128.000,2)) from sys.sysfiles a where a.name not like '%_log'; -- Trim delete from CrmUpdates where SentToCrm is not null and created < GetDate() - 30; delete from Emails where Status != 0 and created < GetDate() - 30; delete from EventLogs where created < GetDate() - 30; delete from ValidateDocumentEntities where created < GetDate() - 30; delete from WebSessions where LastLogin < GetDate() - 30; delete from XmlLogs where created < GetDate() - 30; -- Size after select Data_Size_MB = convert(decimal(12,2),round(fileproperty(a.name,'SpaceUsed')/128.000,2)) from sys.sysfiles a where a.name not like '%_log';
Make a backup of the database you want to install into the docker container. The install Docker, start and login.
In the steps below, the database from the file umbraco.bak
is imported into to the database my.db
. A user, MyUser
is and is aligned with the login MyUser
from the source-database.
docker pull microsoft/mssql-server-linux:2017-latest docker run -e "ACCEPT_EULA=Y" -e "MSSQL_SA_PASSWORD=YourStrong!Passw0rd" --name sql2017 -p 1433:1433 -v sql2017data:/var/opt/mssql -d microsoft/mssql-server-linux:2017-latest docker exec -it sql2017 mkdir /var/opt/mssql/backup docker cp umbraco.bak sql2017:/var/opt/mssql/backup docker exec -it sql2017 /opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P YourStrong!Passw0rd
... and now some SQL magic. In the current prompt replace the '???' with the names from the FILELISTONLY command:
RESTORE FILELISTONLY FROM DISK = '/var/opt/mssql/backup/umbraco.bak' go RESTORE DATABASE [my.db] FROM DISK = '/var/opt/mssql/backup/umbraco.bak' WITH MOVE '???.umbraco' TO '/var/opt/mssql/data/???.umbraco.mdf', MOVE '???.umbraco_log' TO '/var/opt/mssql/data/???.umbraco.ldf' go SELECT Name FROM sys.Databases go
... the last command just to check that the database was created succesfully.
Align user:
use [my.db] go create login MyUser with password = 'SomePassword', CHECK_POLICY=off go alter user MyUser with login = MyUser go
... and that's it.