When you move to a new country there are a million questions to answer, and sometimes you won’t even know who to ask and where to ask. This website has information for new migrants to help them settle into Auckland, New Zealand. I am in the middle of adding a whole lot more information to help you get around safe and happy in Auckland. This website is to help people when they come to New Zealand and they don't know much. It will have information about:


Ooooh, there's going to be a raffle!
We'll be drawing a name later. If you want to be in the draw, add your twitter
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---
layout: post
title: PlasmoDB 8.2 Released
category: [PlasmoDB]
---
We are pleased to
announce the release of PlasmoDB 8.2
New data in release 8.1 and 8.2:
- P. vivax Schizont stage
proteome from human blood samples (Roobsoong et. al.).
This data can be searched by choosing "Schizont stage proteome from
human blood sample (Roobsoong et al.)" in the P. vivax section of the Mass Spec. Evidence search page.
In
addition, peptide evidence is displayed on gene pages in the Protein
Section
and in the genome browser by turning on
the track specific for this data. This
search strategy identifies all P.
vivax genes with mass spec
evidence from this study.
- P. falciparum nuclear
and cytosolic fractions from rings, trophozoites, and schizonts
graciously provided prepublication by Till Voss and colleagues.
This
data can be searched by choosing "P.
falciparum
cytoplasmic and nuclear fractions from rings, trophozoites and
schizonts (3D7) (Oehring and Woodcroft et al. - unpublished)" in the P. falciparum section of the Mass spec. evidence search page.
In
addition, peptide evidence is displayed on gene pages in the Protein
Section
and in the genome browser by turning on
the track specific for this data. This
search strategy identifies all P.
falciparum genes with mass spec
evidence from this study.
- P. falciparum
ChIP-sequence data from the histone variant H2Bv (three time points)
and CenH3 (schizonts) represented as coverage plots in the genome browser.
This data was graciously provided prepublication by the Stunnenberg
group.
- Genome-wide expression level polymorphisms (ELPs) from a genetic
cross between phenotypically distinct parasite clones of P. falciparum (HB3 and Dd2) (Gonzales et. al.).
This data may be searched and visualized in many ways:
- Genes may be identified based on their association to genomic
segments, expression profile similarity or similarity of genetic
association. These searches are based on the microarray
expression profiles generated in each of the progeny and can be
accessed in the microarray search page under the
heading "eQTL studies on Hb3 X Dd2 progeny (Ferdig)".
- Regions/spans that are associated by eQTL are displayed in a
table on gene pages (example gene page). The table
"Regions/Spans associated by eQTL experiment on HB3 x DD2 progeny"
includes a column for haplotype blocks associated the gene, the
coordinates of the haplotype block, LOD scores, and links to searches
for genes contained within
the region or associated with the region.
- New
Gene IDs -- Please read the news
item from GeneDB regarding assignment of new P. falciparum gene IDs. We will be
updating to these new IDs in the next release. Rest assured that both
PlasmoDB and GeneDB will proper mapping of old IDs to the new ones (in
other words, you will always be able to search with the old or new
IDs). Currently in PlasmoDB we are displaying the new Gene ID next to
the old one at the top of gene pages (old ID/new ID).
New functionality:
- The genome browser has been updated. This newer version
includes several improvements and new functionality. A tutorial highlighting some of
the new features is also available.
- A new column analysis tool is now available that allows you to
generate a word cloud or histogram based on the data in result
columns. To access this feature, run any search that returns a
list of results then click on the icon next to the product description
column name. This will reveal a popup with the option to select
"Word Cloud". Look for this analysis feature to be activated on
additional columns in future releases.
- Several new tutorials have been generated:
Note:
Our bimonthly database releases incorporate new data and correct old
data when necessary. Changes in annotation and new experimental
data
may slightly alter your search results by increasing or decreasing the
number of hits. When search parameters change with a new release, we
invalidate (Ø) the search and ask you
to rerun it. When IDs are updated or removed, we map the old IDs to the
new ones, remove the old IDs from your Basket, and leave your Favorites
page alone.
EuPathDB
is now on FaceBook and Twitter


| Interface | Description |
|---|---|
| IPlayerUnitWrapper |
IPlayerUnitWrapper.java --- Interface for controllable wrapper Player Units.
|
| PlayerBuilding.QueueElementChecker<T> |
QueueElementChecker.java --- Wrapper for Classes used in the
PlayerBuilding.extractPossibleMatch(Queue, QueueElementChecker)
function. |
| RemoveAgentEvent |
RemoveAgentEvent.java --- Event used for removing an Agent from the
collection of updatable Agents associated with the given PlayerUnit.
|
| Class | Description |
|---|---|
| IssueStateWrapper |
IssueStateWrapper.java --- A wrapper Class for an
IssueStateWrapper.IssueState
containing functions for signaling an error (IssueStateWrapper.signalIssue() ). |
| PlayerBuilding |
PlayerBuilding.java --- Wrapper for a Player building.
|
| PlayerUnit |
PlayerUnit.java --- Wrapper for a player unit.
|
| PlayerUnitFactory |
PlayerUnitFactory.java --- Factory used to create different kinds of
PlayerUnits.
|
| PlayerUnitTerran_Firebat |
PlayerUnitTerran_Firebat.java --- Terran_Firebat Class.
|
| PlayerUnitTerran_Goliath |
PlayerUnitTerran_Goliath.java --- Terran_Goliath Class.
|
| PlayerUnitTerran_Marine |
PlayerUnit_Marine.java --- Terran_Marine Class.
|
| PlayerUnitTerran_Medic |
PlayerUnitTerran_Medic.java --- Terran_Medic Class.
|
| PlayerUnitTerran_ScienceVessel |
PlayerUnitTerran_ScienceVessel.java --- Terran_Science_Vessel Class.
|
| PlayerUnitTerran_SCV |
PlayerUnitTerran_SCV.java --- Terran SCV Class.
|
| PlayerUnitTerran_SiegeTank |
PlayerUnit_Siege_Tank.java --- Terran_SiegeTank Class.
|
| PlayerUnitTerran_SiegeTank_SiegeMode |
PlayerUnitTerran_SiegeTank_SiegeMode.java --- Terran_SiegeTank_SiegeMode
Class.
|
| PlayerUnitTerran_Vulture |
PlayerUnit_Vulture.java --- Terran Vulture Class.
|
| PlayerUnitTerran_Wraith |
PlayerUnitTerran_Wraith.java --- Terran_Wraith Class.
|
| PlayerUnitTypeFlying |
PlayerUnitTypeFlying.java --- Class for flying Units.
|
| PlayerUnitTypeMelee |
PlayerUnitTypeMelee.java --- Class for melee Units.
|
| PlayerUnitTypeRanged |
PlayerUnitTypeRanged.java --- Class for ranged Units.
|
| PlayerUnitWorker |
PlayerUnitWorker.java --- Wrapper for a general worker Unit.
|
| Enum | Description |
|---|---|
| IssueStateWrapper.IssueState |
IssueState.java --- A Enum representing an issue combined with an
additional time stamp.
|
| PlayerBuilding.State | |
| PlayerUnit.ConfidenceRangeStates | |
| PlayerUnit.ConfidenceState | |
| PlayerUnit.UnitStates | |
| PlayerUnitTerran_SiegeTank.ExpectingEnemyState |
ExpectingEnemyState.java --- Enum used for switching between expecting
enemy Units and not doing it at all based on a set frame time interval.
|
| PlayerUnitWorker.ConstructionState |


<alien> <alien flags> -o <alien target> <alien source>
The <lex flags> used to build the source code file are assembled from the following macros in the indicated order:
FLAGS_ALIEN
# The source root of this Component COMPONENT_ROOT=../.. # The root of the build system BS_ROOT=$(COMPONENT_ROOT)/../build3 # Boostrap Build system definitions. include $(BS_ROOT)/defines.mk # # Set up global C flags for Alien Code compilation # FLAGS_CC+=-I$(BS_ARCH_TARGET_DIR) # Generate src code from lex code. ALIEN_TARGETS=foo.yy.o # Finally, include the rules to make the build system go. include $(BS_ROOT)/rules.mk


Hello, welcome to my page! Feel free to click any of the links below to learn more about me and this site! Enjoy and thanks for checking my page out!
Check out my cheatsheet from week 8!
Hello, welcome to my page! Feel free to click any of the links below to learn more about me and this site! Enjoy and thanks for checking my page out!
Check out my cheatsheet from week 8!


To use Oprofile, you need to tell oprofile where vmlinux corresponding to the kernel is located
This will allow you to profile the kernel along with your application. If you don't want to profile the kernel: opcontrol --no--vmlinux
This only needs to be done one time.
To run from the command line:
root@device:~# opcontrol --vmlinux=/boot/vmlinux-[kernel version]


Boston Red Sox Hat
Buy For $25
shippping detals
firstname:
lastname:
company_name:
country:
street_address:
city:
state:
postel_code:
phone:
email_address:
order_note:
product details
name:
sku:
price:
quantity:
slug:


--- layout: post status: publish published: true title: "睡觉前" author: Leask author_login: leask author_email<EMAIL_ADDRESS>author_url: https://leaskh.com wordpress_id: 376 wordpress_url: http://leaskh.wordpress.com/2007/01/30/%e7%9d%a1%e8%a7%89%e5%89%8d date: '2007-01-30 19:21:25 +0800' date_gmt: '2007-01-30 19:21:25 +0800' categories: - Life tags: [] comments: [] ---


This is the text inside of the page named Sample Page 4. There is not not much in it, but at least it is a test.
Back to page 3


Interface Commands
There is an additional set of commands that serve to communicate with the Browser or a user. These commands are:
|
Interface Command |
Description |
|
get_selection |
Places the entities selected in the Browser Elements or Results columns into the current set. get_selection |
|
set_result |
Copies the contents of the specified set into the Browser’s Results column. set_result set_name |
|
msg |
Generates a message relevant to the current operation in the Browser’s status bar. msg options |
|
emacs_command |
Executes an Emacs command. emacs_command command args |
|
open_view |
Opens the source of the specified entity. open_view entity_name |
|
prompt |
Generates a prompt dialog box (with the information text contained in text_string) that accepts text input. prompt text_string |
These commands use the following syntax:
get selection
set_result [set1 set2 ...]
emacs_command (emacs-command)
msg -error "text"
open_view [set1 set2 ...]
prompt [ -title message_text] [-errmsg error_text]


Toggle navigation
LSC
Background Generator
ProtoPage
Contact Info
Dungeons And Dragons Campaign
This is my photo gallery
Please enjoy my photos.


User avatar image set as link
User avatar image set as BASE64 string
User avatar image not set and showInitials disabled
User avatar with custom background color


--- name: interchange url: /interchange title: Interchange ---
Interchange allows you to specify what specific content to display based on the user's current screen size. This is great for loading up a mobile-friendly component on small devices, and a more robust or heavier load component on desktops.
To set up Interchange, start with a container with the zf-interchange
directive.
A basic example of Interchange involves images. In the below example, we're loading images with a lower resolution (and thus a lower file size) on small screens, and progressively higher-res images on larger screens.
Note the values of the media
attributes on each item inside the container—these are the breakpoints defined in your Sass files. Check out the documentation for media queries to learn how these breakpoints can be changed.
Interchange can also switch between entire chunks of HTML. These can be loaded as partials (external HTML files), or by dropping the content right into the tag.
Note that partials are reloaded every time, meaning if the user's device scales from medium, to small, back to medium, the medium partial will be loaded twice.


🎭 Arya's Art Manager 🎭
Wines Movies NPR Tiny Desks TV Shows Books GitHub ->
The Wire Season 1
David Simon
Wow. What a show! This was my second time watching it;
however, my initial playthrough was so long ago it
doesn't bear significant influence on my thoughts. One
way I viewed the show was as a analysis of
organizational structures. The two dominant
organizations, the Baltimore Police Department and the
Barksdale Organization employ wildly different methods
towards their accomplishment of opposing goals. BPD
employs a (semi)-horizontal power structure
reminiscent of America's ole faithful 'checks &
balances'. While this encourages cooperation, it's
shown time and again to hamper real policework.
Especially as a focus on career development prevents
police from doing good ole fashioned policework. On
the other hand, Barksdale's operation utilizes a
vertical power structure managed through fear and
violence. While effective, it's ultimately a deck of
cards.  Despite their precarious position, it feels
like Simon ultimately lands on the side of Barksdale.
The ending sequence intentionally hearkens to the
beginning of the show, I think with the message that
despite Baltimore's best efforts their work is
ultimately impotent in the face of the drug trade. I
am reminded of the saying "time is a circle."


|
LaraCraft
|
This extension provides a set of function to convert vertors to packed formats. More...
This extension provides a set of function to convert vertors to packed formats.
<glm/gtc/packing.hpp> need to be included to use these features.
| GLM_FUNC_QUALIFIER uint32 glm::packF2x11_1x10 | ( | vec3 const & | v | ) |
First, converts the first two components of the normalized floating-point value v into 11-bit signless floating-point values. Then, converts the third component of the normalized floating-point value v into a 10-bit signless floating-point value. Then, the results are packed into the returned 32-bit unsigned integer.
The first vector component specifies the 11 least-significant bits of the result; the last component specifies the 10 most-significant bits.
Definition at line 480 of file packing.inl.
| GLM_FUNC_QUALIFIER uint16 glm::packHalf1x16 | ( | float | v | ) |
Returns an unsigned integer obtained by converting the components of a floating-point scalar to the 16-bit floating-point representation found in the OpenGL Specification, and then packing this 16-bit value into a 16-bit unsigned integer.
Definition at line 357 of file packing.inl.
| GLM_FUNC_QUALIFIER uint64 glm::packHalf4x16 | ( | glm::vec4 const & | v | ) |
Returns an unsigned integer obtained by converting the components of a four-component floating-point vector to the 16-bit floating-point representation found in the OpenGL Specification, and then packing these four 16-bit values into a 64-bit unsigned integer. The first vector component specifies the 16 least-significant bits of the result; the forth component specifies the 16 most-significant bits.
Definition at line 370 of file packing.inl.
| GLM_FUNC_QUALIFIER uint32 glm::packI3x10_1x2 | ( | ivec4 const & | v | ) |
Returns an unsigned integer obtained by converting the components of a four-component signed integer vector to the 10-10-10-2-bit signed integer representation found in the OpenGL Specification, and then packing these four values into a 32-bit unsigned integer. The first vector component specifies the 10 least-significant bits of the result; the forth component specifies the 2 most-significant bits.
Definition at line 394 of file packing.inl.
| GLM_FUNC_QUALIFIER uint16 glm::packSnorm1x16 | ( | float | v | ) |
First, converts the normalized floating-point value v into 16-bit integer value. Then, the results are packed into the returned 16-bit unsigned integer.
The conversion to fixed point is done as follows: packSnorm1x8: round(clamp(s, -1, +1) * 32767.0)
Definition at line 327 of file packing.inl.
| GLM_FUNC_QUALIFIER uint8 glm::packSnorm1x8 | ( | float | s | ) |
First, converts the normalized floating-point value v into 8-bit integer value. Then, the results are packed into the returned 8-bit unsigned integer.
The conversion to fixed point is done as follows: packSnorm1x8: round(clamp(s, -1, +1) * 127.0)
Definition at line 273 of file packing.inl.
| GLM_FUNC_QUALIFIER uint16 glm::packSnorm2x8 | ( | vec2 const & | v | ) |
First, converts each component of the normalized floating-point value v into 8-bit integer values. Then, the results are packed into the returned 16-bit unsigned integer.
The conversion for component c of v to fixed point is done as follows: packSnorm2x8: round(clamp(c, -1, +1) * 127.0)
The first component of the vector will be written to the least significant bits of the output; the last component will be written to the most significant bits.
Definition at line 288 of file packing.inl.
| GLM_FUNC_QUALIFIER uint32 glm::packSnorm3x10_1x2 | ( | vec4 const & | v | ) |
First, converts the first three components of the normalized floating-point value v into 10-bit signed integer values. Then, converts the forth component of the normalized floating-point value v into 2-bit signed integer values. Then, the results are packed into the returned 32-bit unsigned integer.
The conversion for component c of v to fixed point is done as follows: packSnorm3x10_1x2(xyz): round(clamp(c, -1, +1) * 511.0) packSnorm3x10_1x2(w): round(clamp(c, -1, +1) * 1.0)
The first vector component specifies the 10 least-significant bits of the result; the forth component specifies the 2 most-significant bits.
Definition at line 436 of file packing.inl.
| GLM_FUNC_QUALIFIER uint64 glm::packSnorm4x16 | ( | vec4 const & | v | ) |
First, converts each component of the normalized floating-point value v into 16-bit integer values. Then, the results are packed into the returned 64-bit unsigned integer.
The conversion for component c of v to fixed point is done as follows: packSnorm2x8: round(clamp(c, -1, +1) * 32767.0)
The first component of the vector will be written to the least significant bits of the output; the last component will be written to the most significant bits.
Definition at line 342 of file packing.inl.
| GLM_FUNC_QUALIFIER uint32 glm::packU3x10_1x2 | ( | uvec4 const & | v | ) |
Returns an unsigned integer obtained by converting the components of a four-component unsigned integer vector to the 10-10-10-2-bit unsigned integer representation found in the OpenGL Specification, and then packing these four values into a 32-bit unsigned integer. The first vector component specifies the 10 least-significant bits of the result; the forth component specifies the 2 most-significant bits.
Definition at line 415 of file packing.inl.
| GLM_FUNC_QUALIFIER uint16 glm::packUnorm1x16 | ( | float | v | ) |
First, converts the normalized floating-point value v into a 16-bit integer value. Then, the results are packed into the returned 16-bit unsigned integer.
The conversion for component c of v to fixed point is done as follows: packUnorm1x16: round(clamp(c, 0, +1) * 65535.0)
Definition at line 303 of file packing.inl.
| GLM_FUNC_QUALIFIER uint8 glm::packUnorm1x8 | ( | float | v | ) |
First, converts the normalized floating-point value v into a 8-bit integer value. Then, the results are packed into the returned 8-bit unsigned integer.
The conversion for component c of v to fixed point is done as follows: packUnorm1x8: round(clamp(c, 0, +1) * 255.0)
Definition at line 249 of file packing.inl.
| GLM_FUNC_QUALIFIER uint16 glm::packUnorm2x8 | ( | vec2 const & | v | ) |
First, converts each component of the normalized floating-point value v into 8-bit integer values. Then, the results are packed into the returned 16-bit unsigned integer.
The conversion for component c of v to fixed point is done as follows: packUnorm2x8: round(clamp(c, 0, +1) * 255.0)
The first component of the vector will be written to the least significant bits of the output; the last component will be written to the most significant bits.
Definition at line 260 of file packing.inl.
| GLM_FUNC_QUALIFIER uint32 glm::packUnorm3x10_1x2 | ( | vec4 const & | v | ) |
First, converts the first three components of the normalized floating-point value v into 10-bit unsigned integer values. Then, converts the forth component of the normalized floating-point value v into 2-bit signed uninteger values. Then, the results are packed into the returned 32-bit unsigned integer.
The conversion for component c of v to fixed point is done as follows: packUnorm3x10_1x2(xyz): round(clamp(c, 0, +1) * 1023.0) packUnorm3x10_1x2(w): round(clamp(c, 0, +1) * 3.0)
The first vector component specifies the 10 least-significant bits of the result; the forth component specifies the 2 most-significant bits.
Definition at line 458 of file packing.inl.
| GLM_FUNC_QUALIFIER uint64 glm::packUnorm4x16 | ( | vec4 const & | v | ) |
First, converts each component of the normalized floating-point value v into 16-bit integer values. Then, the results are packed into the returned 64-bit unsigned integer.
The conversion for component c of v to fixed point is done as follows: packUnorm4x16: round(clamp(c, 0, +1) * 65535.0)
The first component of the vector will be written to the least significant bits of the output; the last component will be written to the most significant bits.
Definition at line 314 of file packing.inl.
| GLM_FUNC_QUALIFIER vec3 glm::unpackF2x11_1x10 | ( | uint32 | p | ) |
First, unpacks a single 32-bit unsigned integer p into two 11-bit signless floating-point values and one 10-bit signless floating-point value . Then, each component is converted to a normalized floating-point value to generate the returned three-component vector.
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
Definition at line 488 of file packing.inl.
| GLM_FUNC_QUALIFIER float glm::unpackHalf1x16 | ( | uint16 | v | ) |
Returns a floating-point scalar with components obtained by unpacking a 16-bit unsigned integer into a 16-bit value, interpreted as a 16-bit floating-point number according to the OpenGL Specification, and converting it to 32-bit floating-point values.
Definition at line 364 of file packing.inl.
| GLM_FUNC_QUALIFIER glm::vec4 glm::unpackHalf4x16 | ( | uint64 | p | ) |
Returns a four-component floating-point vector with components obtained by unpacking a 64-bit unsigned integer into four 16-bit values, interpreting those values as 16-bit floating-point numbers according to the OpenGL Specification, and converting them to 32-bit floating-point values. The first component of the vector is obtained from the 16 least-significant bits of v; the forth component is obtained from the 16 most-significant bits of v.
Definition at line 382 of file packing.inl.
| GLM_FUNC_QUALIFIER ivec4 glm::unpackI3x10_1x2 | ( | uint32 | p | ) |
Unpacks a single 32-bit unsigned integer p into three 10-bit and one 2-bit signed integers.
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
Definition at line 404 of file packing.inl.
| GLM_FUNC_QUALIFIER float glm::unpackSnorm1x16 | ( | uint16 | p | ) |
First, unpacks a single 16-bit unsigned integer p into a single 16-bit signed integers. Then, each component is converted to a normalized floating-point value to generate the returned scalar.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackSnorm1x16: clamp(f / 32767.0, -1, +1)
Definition at line 334 of file packing.inl.
| GLM_FUNC_QUALIFIER float glm::unpackSnorm1x8 | ( | uint8 | p | ) |
First, unpacks a single 8-bit unsigned integer p into a single 8-bit signed integers. Then, the value is converted to a normalized floating-point value to generate the returned scalar.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackSnorm1x8: clamp(f / 127.0, -1, +1)
Definition at line 280 of file packing.inl.
| GLM_FUNC_QUALIFIER vec2 glm::unpackSnorm2x8 | ( | uint16 | p | ) |
First, unpacks a single 16-bit unsigned integer p into a pair of 8-bit signed integers. Then, each component is converted to a normalized floating-point value to generate the returned two-component vector.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackSnorm2x8: clamp(f / 127.0, -1, +1)
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
Definition at line 295 of file packing.inl.
| GLM_FUNC_QUALIFIER vec4 glm::unpackSnorm3x10_1x2 | ( | uint32 | p | ) |
First, unpacks a single 32-bit unsigned integer p into four 16-bit signed integers. Then, each component is converted to a normalized floating-point value to generate the returned four-component vector.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackSnorm3x10_1x2(xyz): clamp(f / 511.0, -1, +1) unpackSnorm3x10_1x2(w): clamp(f / 511.0, -1, +1)
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
Definition at line 446 of file packing.inl.
| GLM_FUNC_DECL vec4 glm::unpackSnorm4x16 | ( | uint64 const & | p | ) |
First, unpacks a single 64-bit unsigned integer p into four 16-bit signed integers. Then, each component is converted to a normalized floating-point value to generate the returned four-component vector.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackSnorm4x16: clamp(f / 32767.0, -1, +1)
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
| GLM_FUNC_QUALIFIER uvec4 glm::unpackU3x10_1x2 | ( | uint32 | p | ) |
Unpacks a single 32-bit unsigned integer p into three 10-bit and one 2-bit unsigned integers.
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
Definition at line 425 of file packing.inl.
| GLM_FUNC_QUALIFIER float glm::unpackUnorm1x16 | ( | uint16 | p | ) |
First, unpacks a single 16-bit unsigned integer p into a of 16-bit unsigned integers. Then, the value is converted to a normalized floating-point value to generate the returned scalar.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackUnorm1x16: f / 65535.0
Definition at line 308 of file packing.inl.
| GLM_FUNC_QUALIFIER float glm::unpackUnorm1x8 | ( | uint8 | p | ) |
Convert a single 8-bit integer to a normalized floating-point value.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackUnorm4x8: f / 255.0
Definition at line 254 of file packing.inl.
| GLM_FUNC_QUALIFIER vec2 glm::unpackUnorm2x8 | ( | uint16 | p | ) |
First, unpacks a single 16-bit unsigned integer p into a pair of 8-bit unsigned integers. Then, each component is converted to a normalized floating-point value to generate the returned two-component vector.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackUnorm4x8: f / 255.0
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
Definition at line 267 of file packing.inl.
| GLM_FUNC_QUALIFIER vec4 glm::unpackUnorm3x10_1x2 | ( | uint32 | p | ) |
First, unpacks a single 32-bit unsigned integer p into four 16-bit signed integers. Then, each component is converted to a normalized floating-point value to generate the returned four-component vector.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackSnorm3x10_1x2(xyz): clamp(f / 1023.0, 0, +1) unpackSnorm3x10_1x2(w): clamp(f / 3.0, 0, +1)
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
Definition at line 468 of file packing.inl.
| GLM_FUNC_QUALIFIER vec4 glm::unpackUnorm4x16 | ( | uint64 | p | ) |
First, unpacks a single 64-bit unsigned integer p into four 16-bit unsigned integers. Then, each component is converted to a normalized floating-point value to generate the returned four-component vector.
The conversion for unpacked fixed-point value f to floating point is done as follows: unpackUnormx4x16: f / 65535.0
The first component of the returned vector will be extracted from the least significant bits of the input; the last component will be extracted from the most significant bits.
Definition at line 321 of file packing.inl.


public final class VoronoiResults
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
RectD |
clippingBounds
The clipping bounds for the entire Voronoi diagram.
|
PointD[] |
generatorSites
The generator sites for the Voronoi diagram and Delaunay triangulation.
|
VoronoiEdge[] |
voronoiEdges
The edge list for the Voronoi diagram.
|
PointD[] |
voronoiVertices
The vertex list for the Voronoi diagram.
|
| Modifier and Type | Method and Description |
|---|---|
void |
clearVoronoiRegions()
Clears the
voronoiRegions() cache. |
LineD[] |
clipDelaunayEdges(RectD bounds)
Clips the edge list for the Delaunay triangulation to the specified bounds.
|
LineD[] |
delaunayEdges()
Gets the edge list for the Delaunay triangulation.
|
Subdivision |
toDelaunaySubdivision(boolean addRegions)
|
Subdivision |
toDelaunaySubdivision(RectD bounds,
boolean addRegions)
Converts all
delaunayEdges() to a planar Subdivision ,
using the specified clipping bounds. |
PointD[][] |
voronoiRegions()
Gets the regions of the Voronoi diagram.
|
public final RectD clippingBounds
RectD
that was actually used by the Voronoi
algorithm,
which may be larger than that originally supplied to Voronoi.findAll(org.kynosarges.tektosyne.geometry.PointD[])
.
All Voronoi edges are terminated with a pseudo-vertex in voronoiVertices
when they intersect the clippingBounds
. No voronoiVertices
lie
outside the clippingBounds
.
Moreover, the four corners of the clippingBounds
are always part of some
voronoiRegions()
that were originally unbounded. voronoiVertices
does not usually contain these corner vertices.
public final PointD[] generatorSites
PointD
coordinates whose Voronoi diagram and Delaunay triangulation
are provided by the VoronoiResults
. This is the original PointD
array that was supplied to the Voronoi
algorithm and resulted in the
VoronoiResults
. This field is provided merely for convenience.public final VoronoiEdge[] voronoiEdges
generatorSites
and voronoiVertices
arrays.
The complete Voronoi diagram is defined both by the voronoiVertices
and by
the voronoiEdges
that connect the vertices. All coordinates are bounded by
the current clippingBounds
.
public final PointD[] voronoiVertices
PointD
coordinates of all vertices in the Voronoi diagram.
The complete Voronoi diagram is defined both by the voronoiVertices
and by
the voronoiEdges
that connect the vertices. All coordinates are bounded by
the current clippingBounds
.
public LineD[] delaunayEdges()
voronoiEdges
. Each LineD
element
connects the generatorSites
indicated by VoronoiEdge.site1
and
VoronoiEdge.site2
of the VoronoiEdge
at the same index position.LineD
edges in the Delaunay triangulationpublic PointD[][] voronoiRegions()
clippingBounds
.
The PointD
array for each generator site contains the vertices of a convex
polygon. The last vertex is implicitly assumed to be connected with the first vertex.
Most vertices also appear in voronoiVertices
, except for the four corners
of the clippingBounds
which terminate the outermost regions.
PointD
polygons that represent the Voronoi
regions corresponding to the same generatorSites
indicespublic void clearVoronoiRegions()
voronoiRegions()
cache.
This will cause voronoiRegions()
to be recalculated (with identical results)
when requested again. Call this method to reduce memory consumption when the cached
voronoiRegions()
are no longer required, e.g. after creating VoronoiMap
.public LineD[] clipDelaunayEdges(RectD bounds)
delaunayEdges()
whose corresponding voronoiEdges
element fulfils two conditions:
VoronoiEdge.site1
and VoronoiEdge.site2
both fall within
the specified bounds
.VoronoiEdge.vertex1
and VoronoiEdge.vertex2
intersects the specified bounds
.clipDelaunayEdges(org.kynosarges.tektosyne.geometry.RectD)
selects those delaunayEdges()
that
fall entirely within bounds
, and which connect two voronoiRegions()
that share a common border within bounds
.bounds
- a RectD
indicating the clipping bounds for all delaunayEdges()
delaunayEdges()
which intersect bounds
, as defined abovejava.lang.NullPointerException
- if bounds
is null
public Subdivision toDelaunaySubdivision(boolean addRegions)
addRegions
- true
to add all voronoiRegions()
with the corresponding
generatorSites
to the Subdivision.vertexRegions()
of the new Subdivision
, else false
Subdivision
whose Subdivision.edges()
correspond to the
delaunayEdges()
of the VoronoiResults
public Subdivision toDelaunaySubdivision(RectD bounds, boolean addRegions)
delaunayEdges()
to a planar Subdivision
,
using the specified clipping bounds.
The specified bounds
determine the subset of generatorSites
and delaunayEdges()
that is stored in the new Subdivision
,
as described in clipDelaunayEdges(org.kynosarges.tektosyne.geometry.RectD)
.
If addRegions
is true
, the polygons added to
Subdivision.vertexRegions()
are also clipped the specified bounds
.
bounds
- a RectD
indicating the clipping bounds for all delaunayEdges()
addRegions
- true
to add all voronoiRegions()
with the corresponding
generatorSites
to the Subdivision.vertexRegions()
of the new Subdivision
, else false
Subdivision
whose Subdivision.edges()
correspond to the
delaunayEdges()
of the VoronoiResults
java.lang.NullPointerException
- if bounds
is null


{% extends "polls/wizard_create_poll.html" %} {% load staticfiles %} {% block head %} {% endblock %} {% block form_content %}
Please select the input to be entered by each voter
{% if form.input_type.errors %}{{ form.input_type.errors }}{% endif %}This input type severely restricts how users can express their preferences. More expressive input types will allow Pnyx to use more sophisticated aggregation rules that ultimately result in more desirable outcomes.
{% endblock %} {% block js_block %} {% endblock %}


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Hello, I'm User Experience Designer with experience in comprehensive understanding of design process in all the design stages of product including Research & Front-end Development. I seek to join a team that values product research, design, collaboration and provides plenty of opportunity to tackle challenging problems and to innovate.


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This document is a starting point for users working with Hadoop Distributed File System (HDFS) either as a part of a Hadoop cluster or as a stand-alone general purpose distributed file system. While HDFS is designed to “just work” in many environments, a working knowledge of HDFS helps greatly with configuration improvements and diagnostics on a specific cluster.
HDFS is the primary distributed storage used by Hadoop applications. A HDFS cluster primarily consists of a NameNode that manages the file system metadata and DataNodes that store the actual data. The HDFS Architecture Guide describes HDFS in detail. This user guide primarily deals with the interaction of users and administrators with HDFS clusters. The HDFS architecture diagram depicts basic interactions among NameNode, the DataNodes, and the clients. Clients contact NameNode for file metadata or file modifications and perform actual file I/O directly with the DataNodes.
The following are some of the salient features that could be of interest to many users.
Hadoop, including HDFS, is well suited for distributed storage and distributed processing using commodity hardware. It is fault tolerant, scalable, and extremely simple to expand. MapReduce, well known for its simplicity and applicability for large set of distributed applications, is an integral part of Hadoop.
HDFS is highly configurable with a default configuration well suited for many installations. Most of the time, configuration needs to be tuned only for very large clusters.
Hadoop is written in Java and is supported on all major platforms.
Hadoop supports shell-like commands to interact with HDFS directly.
The NameNode and Datanodes have built in web servers that makes it easy to check current status of the cluster.
New features and improvements are regularly implemented in HDFS. The following is a subset of useful features in HDFS:
File permissions and authentication.
Rack awareness: to take a node’s physical location into account while scheduling tasks and allocating storage.
Safemode: an administrative mode for maintenance.
fsck: a utility to diagnose health of the file system, to find missing files or blocks.
fetchdt: a utility to fetch DelegationToken and store it in a file on the local system.
Balancer: tool to balance the cluster when the data is unevenly distributed among DataNodes.
Upgrade and rollback: after a software upgrade, it is possible to rollback to HDFS’ state before the upgrade in case of unexpected problems.
Secondary NameNode: performs periodic checkpoints of the namespace and helps keep the size of file containing log of HDFS modifications within certain limits at the NameNode.
Checkpoint node: performs periodic checkpoints of the namespace and helps minimize the size of the log stored at the NameNode containing changes to the HDFS. Replaces the role previously filled by the Secondary NameNode, though is not yet battle hardened. The NameNode allows multiple Checkpoint nodes simultaneously, as long as there are no Backup nodes registered with the system.
Backup node: An extension to the Checkpoint node. In addition to checkpointing it also receives a stream of edits from the NameNode and maintains its own in-memory copy of the namespace, which is always in sync with the active NameNode namespace state. Only one Backup node may be registered with the NameNode at once.
The following documents describe how to install and set up a Hadoop cluster:
The rest of this document assumes the user is able to set up and run a HDFS with at least one DataNode. For the purpose of this document, both the NameNode and DataNode could be running on the same physical machine.
NameNode and DataNode each run an internal web server in order to display basic information about the current status of the cluster. With the default configuration, the NameNode front page is at http://namenode-name:9870/. It lists the DataNodes in the cluster and basic statistics of the cluster. The web interface can also be used to browse the file system (using “Browse the file system” link on the NameNode front page).
Hadoop includes various shell-like commands that directly interact with HDFS and other file systems that Hadoop supports. The command bin/hdfs dfs -help lists the commands supported by Hadoop shell. Furthermore, the command bin/hdfs dfs -help command-name displays more detailed help for a command. These commands support most of the normal files system operations like copying files, changing file permissions, etc. It also supports a few HDFS specific operations like changing replication of files. For more information see File System Shell Guide.
The bin/hdfs dfsadmin command supports a few HDFS administration related operations. The bin/hdfs dfsadmin -help command lists all the commands currently supported. For e.g.:
-report: reports basic statistics of HDFS. Some of this information is also available on the NameNode front page.
-safemode: though usually not required, an administrator can manually enter or leave Safemode.
-finalizeUpgrade: removes previous backup of the cluster made during last upgrade.
-refreshNodes: Updates the namenode with the set of datanodes allowed to connect to the namenode. By default, Namenodes re-read datanode hostnames in the file defined by dfs.hosts, dfs.hosts.exclude Hosts defined in dfs.hosts are the datanodes that are part of the cluster. If there are entries in dfs.hosts, only the hosts in it are allowed to register with the namenode. Entries in dfs.hosts.exclude are datanodes that need to be decommissioned. Alternatively if dfs.namenode.hosts.provider.classname is set to org.apache.hadoop.hdfs.server.blockmanagement.CombinedHostFileManager, all include and exclude hosts are specified in the JSON file defined by dfs.hosts. Datanodes complete decommissioning when all the replicas from them are replicated to other datanodes. Decommissioned nodes are not automatically shutdown and are not chosen for writing for new replicas.
-printTopology : Print the topology of the cluster. Display a tree of racks and datanodes attached to the tracks as viewed by the NameNode.
For command usage, see dfsadmin.
The NameNode stores modifications to the file system as a log appended to a native file system file, edits. When a NameNode starts up, it reads HDFS state from an image file, fsimage, and then applies edits from the edits log file. It then writes new HDFS state to the fsimage and starts normal operation with an empty edits file. Since NameNode merges fsimage and edits files only during start up, the edits log file could get very large over time on a busy cluster. Another side effect of a larger edits file is that next restart of NameNode takes longer.
The secondary NameNode merges the fsimage and the edits log files periodically and keeps edits log size within a limit. It is usually run on a different machine than the primary NameNode since its memory requirements are on the same order as the primary NameNode.
The start of the checkpoint process on the secondary NameNode is controlled by two configuration parameters.
dfs.namenode.checkpoint.period, set to 1 hour by default, specifies the maximum delay between two consecutive checkpoints, and
dfs.namenode.checkpoint.txns, set to 1 million by default, defines the number of uncheckpointed transactions on the NameNode which will force an urgent checkpoint, even if the checkpoint period has not been reached.
The secondary NameNode stores the latest checkpoint in a directory which is structured the same way as the primary NameNode’s directory. So that the check pointed image is always ready to be read by the primary NameNode if necessary.
For command usage, see secondarynamenode.
NameNode persists its namespace using two files: fsimage, which is the latest checkpoint of the namespace and edits, a journal (log) of changes to the namespace since the checkpoint. When a NameNode starts up, it merges the fsimage and edits journal to provide an up-to-date view of the file system metadata. The NameNode then overwrites fsimage with the new HDFS state and begins a new edits journal.
The Checkpoint node periodically creates checkpoints of the namespace. It downloads fsimage and edits from the active NameNode, merges them locally, and uploads the new image back to the active NameNode. The Checkpoint node usually runs on a different machine than the NameNode since its memory requirements are on the same order as the NameNode. The Checkpoint node is started by bin/hdfs namenode -checkpoint on the node specified in the configuration file.
The location of the Checkpoint (or Backup) node and its accompanying web interface are configured via the dfs.namenode.backup.address and dfs.namenode.backup.http-address configuration variables.
The start of the checkpoint process on the Checkpoint node is controlled by two configuration parameters.
dfs.namenode.checkpoint.period, set to 1 hour by default, specifies the maximum delay between two consecutive checkpoints
dfs.namenode.checkpoint.txns, set to 1 million by default, defines the number of uncheckpointed transactions on the NameNode which will force an urgent checkpoint, even if the checkpoint period has not been reached.
The Checkpoint node stores the latest checkpoint in a directory that is structured the same as the NameNode’s directory. This allows the checkpointed image to be always available for reading by the NameNode if necessary. See Import checkpoint.
Multiple checkpoint nodes may be specified in the cluster configuration file.
For command usage, see namenode.
The Backup node provides the same checkpointing functionality as the Checkpoint node, as well as maintaining an in-memory, up-to-date copy of the file system namespace that is always synchronized with the active NameNode state. Along with accepting a journal stream of file system edits from the NameNode and persisting this to disk, the Backup node also applies those edits into its own copy of the namespace in memory, thus creating a backup of the namespace.
The Backup node does not need to download fsimage and edits files from the active NameNode in order to create a checkpoint, as would be required with a Checkpoint node or Secondary NameNode, since it already has an up-to-date state of the namespace state in memory. The Backup node checkpoint process is more efficient as it only needs to save the namespace into the local fsimage file and reset edits.
As the Backup node maintains a copy of the namespace in memory, its RAM requirements are the same as the NameNode.
The NameNode supports one Backup node at a time. No Checkpoint nodes may be registered if a Backup node is in use. Using multiple Backup nodes concurrently will be supported in the future.
The Backup node is configured in the same manner as the Checkpoint node. It is started with bin/hdfs namenode -backup.
The location of the Backup (or Checkpoint) node and its accompanying web interface are configured via the dfs.namenode.backup.address and dfs.namenode.backup.http-address configuration variables.
Use of a Backup node provides the option of running the NameNode with no persistent storage, delegating all responsibility for persisting the state of the namespace to the Backup node. To do this, start the NameNode with the -importCheckpoint option, along with specifying no persistent storage directories of type edits dfs.namenode.edits.dir for the NameNode configuration.
For a complete discussion of the motivation behind the creation of the Backup node and Checkpoint node, see HADOOP-4539. For command usage, see namenode.
The latest checkpoint can be imported to the NameNode if all other copies of the image and the edits files are lost. In order to do that one should:
Create an empty directory specified in the dfs.namenode.name.dir configuration variable;
Specify the location of the checkpoint directory in the configuration variable dfs.namenode.checkpoint.dir;
and start the NameNode with -importCheckpoint option.
The NameNode will upload the checkpoint from the dfs.namenode.checkpoint.dir directory and then save it to the NameNode directory(s) set in dfs.namenode.name.dir. The NameNode will fail if a legal image is contained in dfs.namenode.name.dir. The NameNode verifies that the image in dfs.namenode.checkpoint.dir is consistent, but does not modify it in any way.
For command usage, see namenode.
HDFS data might not always be be placed uniformly across the DataNode. One common reason is addition of new DataNodes to an existing cluster. While placing new blocks (data for a file is stored as a series of blocks), NameNode considers various parameters before choosing the DataNodes to receive these blocks. Some of the considerations are:
Policy to keep one of the replicas of a block on the same node as the node that is writing the block.
Need to spread different replicas of a block across the racks so that cluster can survive loss of whole rack.
One of the replicas is usually placed on the same rack as the node writing to the file so that cross-rack network I/O is reduced.
Spread HDFS data uniformly across the DataNodes in the cluster.
Due to multiple competing considerations, data might not be uniformly placed across the DataNodes. HDFS provides a tool for administrators that analyzes block placement and rebalanaces data across the DataNode. A brief administrator’s guide for balancer is available at HADOOP-1652.
Balancer supports two modes: run as a tool or as a long-running service:
In tool mode, it’ll try to balance the clusters in best effort, and exit for the following conditions:
All clusters are balanced.
No bytes are moved for too many iterations (default is 5).
No blocks can be moved.
Cluster is upgrade in progress.
Other errors.
In service mode, balancer will run as a long running daemon service. It works like this:
For each round, it’ll try to balance the cluster until success or return on error.
You can config the interval between each round, the interval is set by dfs.balancer.service.interval.
When encounter unexpected exceptions, it will try several times before stoping the service, which is set by dfs.balancer.service.retries.on.exception.
For command usage, see balancer.
A HDFS cluster can recognize the topology of racks where each nodes are put. It is important to configure this topology in order to optimize the data capacity and usage. For more detail, please check the rack awareness in common document.
During start up the NameNode loads the file system state from the fsimage and the edits log file. It then waits for DataNodes to report their blocks so that it does not prematurely start replicating the blocks though enough replicas already exist in the cluster. During this time NameNode stays in Safemode. Safemode for the NameNode is essentially a read-only mode for the HDFS cluster, where it does not allow any modifications to file system or blocks. Normally the NameNode leaves Safemode automatically after the DataNodes have reported that most file system blocks are available. If required, HDFS could be placed in Safemode explicitly using bin/hdfs dfsadmin -safemode command. NameNode front page shows whether Safemode is on or off. A more detailed description and configuration is maintained as JavaDoc for setSafeMode().
HDFS supports the fsck command to check for various inconsistencies. It is designed for reporting problems with various files, for example, missing blocks for a file or under-replicated blocks. Unlike a traditional fsck utility for native file systems, this command does not correct the errors it detects. Normally NameNode automatically corrects most of the recoverable failures. By default fsck ignores open files but provides an option to select all files during reporting. The HDFS fsck command is not a Hadoop shell command. It can be run as bin/hdfs fsck. For command usage, see fsck. fsck can be run on the whole file system or on a subset of files.
HDFS supports the fetchdt command to fetch Delegation Token and store it in a file on the local system. This token can be later used to access secure server (NameNode for example) from a non secure client. Utility uses either RPC or HTTPS (over Kerberos) to get the token, and thus requires kerberos tickets to be present before the run (run kinit to get the tickets). The HDFS fetchdt command is not a Hadoop shell command. It can be run as bin/hdfs fetchdt DTfile. After you got the token you can run an HDFS command without having Kerberos tickets, by pointing HADOOP_TOKEN_FILE_LOCATION environmental variable to the delegation token file. For command usage, see fetchdt command.
Typically, you will configure multiple metadata storage locations. Then, if one storage location is corrupt, you can read the metadata from one of the other storage locations.
However, what can you do if the only storage locations available are corrupt? In this case, there is a special NameNode startup mode called Recovery mode that may allow you to recover most of your data.
You can start the NameNode in recovery mode like so: namenode -recover
When in recovery mode, the NameNode will interactively prompt you at the command line about possible courses of action you can take to recover your data.
If you don’t want to be prompted, you can give the -force option. This option will force recovery mode to always select the first choice. Normally, this will be the most reasonable choice.
Because Recovery mode can cause you to lose data, you should always back up your edit log and fsimage before using it.
When Hadoop is upgraded on an existing cluster, as with any software upgrade, it is possible there are new bugs or incompatible changes that affect existing applications and were not discovered earlier. In any non-trivial HDFS installation, it is not an option to loose any data, let alone to restart HDFS from scratch. HDFS allows administrators to go back to earlier version of Hadoop and rollback the cluster to the state it was in before the upgrade. HDFS upgrade is described in more detail in Hadoop Upgrade Wiki page. HDFS can have one such backup at a time. Before upgrading, administrators need to remove existing backup using bin/hadoop dfsadmin -finalizeUpgrade command. The following briefly describes the typical upgrade procedure:
Before upgrading Hadoop software, finalize if there an existing backup.
Stop the cluster and distribute new version of Hadoop.
Run the new version with -upgrade option (sbin/start-dfs.sh -upgrade).
Most of the time, cluster works just fine. Once the new HDFS is considered working well (may be after a few days of operation), finalize the upgrade. Note that until the cluster is finalized, deleting the files that existed before the upgrade does not free up real disk space on the DataNodes.
If there is a need to move back to the old version,
stop the cluster and distribute earlier version of Hadoop.
run the rollback command on the namenode (bin/hdfs namenode -rollback).
start the cluster with rollback option. (sbin/start-dfs.sh -rollback).
When upgrading to a new version of HDFS, it is necessary to rename or delete any paths that are reserved in the new version of HDFS. If the NameNode encounters a reserved path during upgrade, it will print an error like the following:
/.reserved is a reserved path and .snapshot is a reserved path component in this version of HDFS. Please rollback and delete or rename this path, or upgrade with the -renameReserved [key-value pairs] option to automatically rename these paths during upgrade.
Specifying -upgrade -renameReserved [optional key-value pairs] causes the NameNode to automatically rename any reserved paths found during startup. For example, to rename all paths named .snapshot to .my-snapshot and .reserved to .my-reserved, a user would specify -upgrade -renameReserved .snapshot=.my-snapshot,.reserved=.my-reserved.
If no key-value pairs are specified with -renameReserved, the NameNode will then suffix reserved paths with .<LAYOUT-VERSION>.UPGRADE_RENAMED, e.g. .snapshot.-51.UPGRADE_RENAMED.
There are some caveats to this renaming process. It’s recommended, if possible, to first hdfs dfsadmin -saveNamespace before upgrading. This is because data inconsistency can result if an edit log operation refers to the destination of an automatically renamed file.
Datanode supports hot swappable drives. The user can add or replace HDFS data volumes without shutting down the DataNode. The following briefly describes the typical hot swapping drive procedure:
If there are new storage directories, the user should format them and mount them appropriately.
The user updates the DataNode configuration dfs.datanode.data.dir to reflect the data volume directories that will be actively in use.
The user runs dfsadmin -reconfig datanode HOST:PORT start to start the reconfiguration process. The user can use dfsadmin -reconfig datanode HOST:PORT status to query the running status of the reconfiguration task.
Once the reconfiguration task has completed, the user can safely umount the removed data volume directories and physically remove the disks.
The file permissions are designed to be similar to file permissions on other familiar platforms like Linux. Currently, security is limited to simple file permissions. The user that starts NameNode is treated as the superuser for HDFS. Future versions of HDFS will support network authentication protocols like Kerberos for user authentication and encryption of data transfers. The details are discussed in the Permissions Guide.
Hadoop currently runs on clusters with thousands of nodes. The PoweredBy Wiki page lists some of the organizations that deploy Hadoop on large clusters. HDFS has one NameNode for each cluster. Currently the total memory available on NameNode is the primary scalability limitation. On very large clusters, increasing average size of files stored in HDFS helps with increasing cluster size without increasing memory requirements on NameNode. The default configuration may not suite very large clusters. The FAQ Wiki page lists suggested configuration improvements for large Hadoop clusters.
This user guide is a good starting point for working with HDFS. While the user guide continues to improve, there is a large wealth of documentation about Hadoop and HDFS. The following list is a starting point for further exploration:


Harry Potter is a series of fantasy novels written by British author J. K. Rowling. The novels chronicle the lives of a young wizard, Harry Potter, and his friends Hermione Granger and Ron Weasley, all of whom are students at Hogwarts School of Witchcraft and Wizardry. The main story arc concerns Harry's struggle against Lord Voldemort, a dark wizard who intends to become immortal, overthrow the wizard governing body known as the Ministry of Magic and subjugate all wizards and Muggles (non-magical people).
The central character in the series is Harry Potter, a boy who lives in the fictional town of Little Whinging, Surrey with his
aunt, uncle, and cousin – the Dursleys – and discovers at the age of eleven that he is a wizard, though he lives in the ordinary
world of non-magical people known as Muggles. The wizarding world exists parallel to the Muggle world, albeit hidden and in
secrecy. His magical ability is inborn, and children with such abilities are invited to attend exclusive magic schools that
teach the necessary skills to succeed in the wizarding world.
Harry becomes a student at Hogwarts School of Witchcraft and Wizardry, a wizarding academy in Scotland, and it is here where
most of the events in the series take place. As Harry develops through his adolescence, he learns to overcome the problems that
face him: magical, social, and emotional, including ordinary teenage challenges such as friendships, infatuation,
romantic relationships, schoolwork and exams, anxiety, depression, stress, and the greater test of preparing himself for the
confrontation that lies ahead in wizarding Britain's increasingly-violent second wizarding war
Harry Potter Theme Song
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< H1 > < H2 > < H3 > < DIV > < FONT > < UL > < OL >
< LI > < A > < P > < STYLE > < IMG > < STRONG >
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< INPUT >


The objective of this task is to generate both true and misleading/corrupt claims from information extracted from Wikipedia.
For each of the true claims, if possible, substitute the object and/or the verb in the sentence for an alternative of the same type. In our example, The Matrix is a movie, and is substituted for another movie or starred is replaced with acted.
For the claim: Keanu Reeves starred in The Matrix
Suitable substitutions:
Unsuitable substitutions:
For each of the true claims, if possible, substitute the object and/or the verb in the sentence a plausible alternative from a different class of things. In our example, guitar is a musical instrument, and is substituted for something that is not a musical instrument and plays is replaced for repaired.
For the claim: David Grohl plays the guitar
Suitable substitutions:
Unsuitable substitutions:
For each of the true claims, if possible, substitute the object and/or the verb in the sentence for a more specific alternative. In our example, rock music is general and can be made more specific by chosing something that implies rock music.
For the claim: David Grohl plays rock music
Suitable substitutions:
Unsuitable substitutions:
For each of the true claims, if possible, substitute the object and/or the verb in the sentence for a more general alternative. In our example, Foo Fighters is something specific and can be made more general by chosing something that is implied by Foo Fighters.
For the claim: David Grohl plays guitar for Foo Fighters
Suitable substitutions:
Unsuitable substitutions:
For each of the true claims, if possible, substitute the object and/or the verb in the sentence to negate the meaning. In our example, Foo Fighters is something specific and can be made more general by chosing something that is implied by Foo Fighters.
For the claim: David Grohl plays guitar for Foo Fighters
Suitable substitutions:
Unsuitable substitutions:


Week 6 Cultural Blog - Stereotype Threat
I'm white, nerdy, and an introvert. I'll let that sink in for a moment. I'm white, nerdy, and an introvert. Can you think of some characteristics for these things that I identify as? I know I can and no I don't dress up like a character from Star Wars or Star Trek and attend conventions on the weekends. I don't live in my mother's basement. But I am working towards being a software engineer though so you got me there.
Stereotype Threat is the threat of being viewed through the lens of a negative stereotype or the fear of doing something that would inadvertently confirm that stereotype.
Claude M. Steele, a leading researcher into Stereotype threat has done numerous tests and experiments into the subject. Dr. Steele talks at length in the linked lecture below, that we tend to under perform in situations where stereotype threat is present.
In one of his experiments, Dr. Steele describes giving a very complex math test to the students at the University of Michigan that were in the Engineering and Math departments. When the test was administered with no attempt to lift the stereotype that women were poor at math, the women inevitably did much worse than their male counterparts. But when an effort was taken before the test to tell the students that on average, male and female students did the same, the women excelled and far out scored their male counterparts.
Through out my life I've considered myself an introvert. I don't dislike people and I most certainly do NOT think I'm better than others but I need my private time to recharge my batteries. I remember in college hearing people make remarks about my absence from parties and social gatherings, noting that I thought I was better than everyone else or that I hated this person or that person.
I also remember being confronted at one such social gathering by someone that thought I hated them because I came to this party but not theirs. I'm not a confrontational person and the ordeal only served to make me never want to attend another social gathering ever again.
The pressure to fit in and to be social only made me more awkward in those situations and I can see now, having read Dr. Steele's work, that I was under performing because I was trying to hard to avoid the stereo type or the confrontation that might come from the stereo type.
Dr. Steele goes on to talk about how participants in his experiments almost always noted that they did not consider themselves in a stereotype threat situation. As if they were denying the situation of the problem.
He also noted that the physiological data collected from each participant always showed elevated blood pressure, heart rate, quickened breathing, and activation of the parts of the brain that are reserved for dealing with threat rather than for reasoning and thinking.
Watching the above video, I was also struck when he pointed out that the participants with the strongest responses where those that had the most desire to succeed in the area that the experiment was conducted in. The women math students in Michigan that had dedicated their lives to math and loved it almost always had the strongest response and under performance.
I can see these traits in myself. I love computers and software engineering. I want so badly to be a professional software engineer. I can't help but wonder if I don't sabotage myself because of the stereotypes that I place on my introvert personality.
I was feeling very down after watching Dr Steele discuss stereotype threat but then he got the part about lifting the threat.
I especially like the part where he discusses his college professor that took interest in him and constantly made him feel like he had the ability and talent to succeed. This one little thing helped to lesson the effects of the many stereotype threat cues that he encountered as a young African American man in college.
Seeing the possibilities in someone is not always the easiest thing but the impact we can have on other people when we tell them that they are capable and have talent is great indeed. Often the factor that breaks down stereotypes is the ability to communicate with one another and in re-enforce the positive and the abilities in others. I appreciate Dr. Steele's work and I'm glad I've had a chance to study it. I would highly recommend you take the time to at least watch the linked video above. I've also linked a few more resources below for further studio.
Resources


WABlob Class Reference
| Inherits from | NSObject |
| Declared in | WABlob.h |
Tasks
-
name
The name of the blob.
property -
URL
The address that identifies the blob.
property -
contentData
The content data for the blob.
property -
contentType
The content type for the blob.
property -
DEPRECATED_ATTRIBUTE
A WABlobContainer object representing the blob’s container.
property -
containerName
The container name of the blob.
property -
metadata
The metadata for the container.
property -
properties
The properties for the blob.
property -
– setValue:forMetadataKey:
Sets a value to the container metadata dictionary.
-
– removeMetadataForKey:
Removes a given key and its associated value from the dictionary.
-
– initBlobWithName:URL:
Initializes a newly created WABlob with an name and address URL.
-
– initBlobWithName:URL:container:
Initializes a newly created WABlob with a name, address URL and a container.
-
– initBlobWithName:URL:containerName:
Initializes a newly created WABlob with a name, address URL and a container.
-
– initBlobWithName:URL:container:properties:
Initializes a newly created WABlob with a name, address URL, the container and properties.
-
– initBlobWithName:URL:containerName:properties:
Initializes a newly created WABlob with a name, address URL, the container and properties.
Properties
DEPRECATED_ATTRIBUTE
A WABlobContainer object representing the blob’s container.
@property (readonly) WABlobContainer *DEPRECATED_ATTRIBUTE
Discussion
@deprecated This will be deprecated in the next release.
See Also
Declared In
WABlob.h
containerName
The container name of the blob.
@property (readonly) NSString *containerName
Declared In
WABlob.h
contentData
The content data for the blob.
@property (nonatomic, retain) NSData *contentData
Declared In
WABlob.h
contentType
The content type for the blob.
@property (nonatomic, copy) NSString *contentType
Declared In
WABlob.h
metadata
The metadata for the container.
@property (readonly) NSDictionary *metadata
Declared In
WABlob.h
properties
The properties for the blob.
@property (readonly) NSDictionary *properties
Declared In
WABlob.h
Instance Methods
initBlobWithName:URL:
- (id)initBlobWithName:(NSString *)name URL:(NSString *)URL
Return Value
The newly initialized WABlob object.
Declared In
WABlob.h
initBlobWithName:URL:container:
- (id)initBlobWithName:(NSString *)name URL:(NSString *)URL container:(WABlobContainer *)container
Parameters
- name
The name of the blob.
- URL
The address of the blob.
- container
The container for the blob.
Return Value
The newly initialized WABlob object.
See Also
Declared In
WABlob.h
initBlobWithName:URL:container:properties:
Initializes a newly created WABlob with a name, address URL, the container and properties.
- (id)initBlobWithName:(NSString *)name URL:(NSString *)URL container:(WABlobContainer *)container properties:(NSDictionary *)properties
Parameters
- name
The name of the blob.
- URL
The address of the blob.
- container
The container for the blob.
- properties
The properties for the blob.
Return Value
The newly initialized WABlob object.
See Also
Declared In
WABlob.h
initBlobWithName:URL:containerName:
- (id)initBlobWithName:(NSString *)name URL:(NSString *)URL containerName:(NSString *)containerName
Parameters
- name
The name of the blob.
- URL
The address of the blob.
- containerName
The container name for the blob.
Return Value
The newly initialized WABlob object.
Declared In
WABlob.h
initBlobWithName:URL:containerName:properties:
Initializes a newly created WABlob with a name, address URL, the container and properties.
- (id)initBlobWithName:(NSString *)name URL:(NSString *)URL containerName:(NSString *)containerName properties:(NSDictionary *)properties
Parameters
- name
The name of the blob.
- URL
The address of the blob.
- containerName
The container name for the blob.
- properties
The properties for the blob.
Return Value
The newly initialized WABlob object.
Declared In
WABlob.h
removeMetadataForKey:
Removes a given key and its associated value from the dictionary.
- (void)removeMetadataForKey:(NSString *)key
Parameters
- key
The key to remove.
@discussion Does nothing if key does not exist.
Declared In
WABlob.h
setValue:forMetadataKey:
Sets a value to the container metadata dictionary.
- (void)setValue:(NSString *)value forMetadataKey:(NSString *)key
Parameters
- value
The value for the key.
- key
The key for the value.
@discussion Raises an NSInvalidArgumentException if aKey or anObject is nil. If you need to represent a nil value in the dictionary, use NSNull. If aKey already exists in the dictionary, the dictionary’s previous value object for that key is sent a release message and anObject takes its place.
Declared In
WABlob.h


Event Handling
Objective
In this chapter, you will learn how to capture and fire events. You'll also learn the difference between component level and app level events.
Contents
Events are actions that can be detected by JavaScript. Such actions might be user-initiated, like taps or swipes, or system-initiated, like when an app is paused. Your app can capture and react to any of these events. You specify which components in your app should "listen" for events with the addEventListener() function. Assigning an event listener follows this pattern:
element.addEventListener('event_type', function(e) {
// code here is run when the event is fired
// properties of the event object 'e' describe the event and object that received it
Ti.API.info('The '+e.type+' event happened');
});
As seen above, the first parameter specifies the type of event for which we are listening. In this case, event_type on the element component. The second parameter is a callback function that will be executed whenever the event is fired.
Each Titanium component is capable of listening for a particular subset of event types. As shown in the code sample above, within an event listener's function, an event object, e, is created. The properties of that object vary by component and event type. These are listed on the API docs page for any given module or component. Some common event types include:
-
click and its synonym tap
-
swipe which is a left or right touch and drag the finger action
-
scroll which is a touch and drag action
-
dblclick and its synonym doubletap
-
touchstart, touchmove, and touchend which define the three stages of an action where the user touches the screen, moves his or her finger in an arbitrary direction, then lifts the finger
In addition to the common event types, some modules have their own special events. For example, the location services API includes events for heading and location changes. The gestures module enables you to listen for the shake event. See the API docs for more information.
Common event object properties include:
-
x and y which describe the x/y coordinates of the event (such as a tap) in the view's coordinates
-
globalPoint which is a dictionary with x and y properties describing the event's location in screen coordinates
-
type which is the name of the event type
-
source which is a reference to the object on which the event was fired
globalPoint is an iOS only event property.
You can assign more than one event listener to a component. For example, a table could listen for taps, swipes, and scrolls.
While the general form above uses an anonymous (unnamed) function, you can use a named function as well. Typically, you would do so if you wanted to reuse the function in more than one event handler or in response to more than one type of event. Let's say you had two buttons that when clicked would perform identical operations. Rather than writing duplicate anonymous functions for each button, you could create a named function that is called instead.
function doSomething(e) {
// This function will be called by multiple handlers
// The event object is accessible within this function
Ti.API.info('The '+e.type+' event happened');
}
button1.addEventListener('click', doSomething);
button2.addEventListener('click', doSomething)
Firing events
You can fire events rather than waiting around for the user or system to initiate them. For example, you could simulate a button press by firing that button's click event. You'd use code like this:
someButton.fireEvent('click');
or if you wanted to pass data along with the event:
someButton.fireEvent('click', {kitchen: 'sink'});
As shown, you can also pass JSON-serializable data when firing events. You simply include an object (without methods) as the second parameter of the fireEvent() function. That parameter is optional and can be omitted. Members of the passed object become available via the event object in the listener. For example, the following code:
someButton.addEventListener('click', function(e){
Ti.APP.info('The value of kitchen is '+e.kitchen);
});
would output this to the Titanium console:
[INFO] The value of kitchen is sink
Custom events
Manually firing a click event demonstrates the flexibility of Titanium's event system, but it's probably not something you'll do that often. You can (and probably will) fire your own custom events frequently. For example, you might fire a custom event when when the database is updated. Any components that depend on the database – a table, for example – could listen for that event and update themselves. This promotes loose coupling of our components and makes for more scalable and maintainable Javascript code.
deleteButton.addEventListener('click', function(e){
// when something happens in your app
database.doDelete(e.whichRecord);
// fire an event so components can react
theTable.fireEvent('db_updated');
});
// ... elsewhere in your code
theTable.addEventListener('db_updated', function(e){
theTable.setData(database.getCurrentRecords());
});
An event fired and listened for in this manner is associated with one particular component. Sometimes you'll want more than one component to be able to react to custom events. You could fire a whole bunch of component-level events. Or, you can use application-level events.
Application-level events
App-level events are global to your app. They are accessible in all contexts, functional scopes, CommonJS modules, and so forth. You fire them and listen for them via the Ti.App module. They're tailor made for sending custom events across contexts. Updating the previous code sample to use app-level events gets us this:
deleteButton.addEventListener('click', function(e){
// when something happens in your app
database.doDelete(e.whichRecord);
// fire a global event so components can react
Ti.App.fireEvent('db_updated');
});
// ... elsewhere in your code
Ti.App.addEventListener('db_updated', function(e){
theTable.setData(database.getCurrentRecords());
someOtherComponent.doSomethingElse();
});
Removing event listeners
You can remove an event listener, thereby preventing the associated component from reacting to the event in the future. Let's say you have a delete button that should only be active when one or more items are checked. When the users checks the first item, you could add the click event listener to the delete button. If the user clears the last of the check marks, you'd remove the event listener from the delete button.
To remove an event listener, you have to pass a reference to the function that was specified when you added the event listener. In other words, you need to have used a named function in the addEventListener() statement to be able to remove that listener later.
function doSomething(e) {
// do something
}
deleteButton.addEventListener('click', doSomething);
// ... elsewhere in your code ...
deleteButton.removeEventListener('click', doSomething);
});
Special events
Android devices feature various "hardware" buttons, like Back, Home, Search, and Menu in addition to the volume up/down rocker and the camera button. With Titanium, you can monitor each of these buttons for presses with event listeners added to a heavy weight window.
|
Event |
Fired when ... |
|
android:back |
The back button is released |
|
android:home |
The home button is released |
|
android:search |
The search button is released |
|
android:camera |
The camera button is released |
|
android:focus |
Fired when the camera button is pressed halfway and then released. |
|
android:volup |
The volume-up rocker button is released |
|
android:voldown |
The volume-down rocker button is released |
See http://developer.appcelerator.com/apidoc/mobile/latest/Titanium.UI.Window-object.html for more information on these special events. The menu button is handled specially as an event fired against the Android activity. See this Kitchen Sink example for sample code for creating and displaying a menu.
Hands-on Practice
Goal
In this activity, you will fire and listen for events to test how events propagate – whether they bubble up or trickle down. You will also fire and listen for an app-level event.
Steps
Determine if events bubble up or trickle down and do the platforms match...put a button in a view in a window then put a click listener on all of them and see the order in which they're fired. Perhaps also compare the x/y and globalPoint coordinates to see how they differ.
-
Create a new Titanium Mobile project named Events
-
Remove all of the code from app.js. Write new code to define the following elements:
-
A window with a white background color. Add a custom property named whichObj with the value 'window' to your window object.
-
A view that fills 80% of the width and height of the window. It should have a yellow background. Add a custom property named whichObj with the value 'view' to your view object. Make sure to add the view to the window.
-
A button centered vertically and horizontally within the view. Add a custom property named whichObj with the value 'button' to your button object. Make sure to add the button to the view.
-
-
Add a click event listener on the window object. It should log two messages to the console:
-
Message 1: Simply output the word 'window' to the log so you know the window received the click event
-
Message 2: Log the whichObj property value to the console so you know which object actually received the user's click. Keep in mind the event object properties that you'll need to reference to access this property.
-
-
Add a click event listener to the view object. It should log the word 'view' to the console so you know the view received the click event.
-
Add a click event listener to the button. It should take two actions:
-
It should print the word 'button' to the log so you know the button received the click event.
-
It should fire an app-level event named changeBG and pass an anonymous object defining a color.
-
-
Add an app-level event listener which watches for the changeBG event. When received, it should update the view's background color with the value passed via the event object.
-
Build and test the app by clicking the button. Do events bubble up (button receives the click first, then the view, then the window) or do events trickle down (window, then view, then button)? If you can build for both Android and iOS, compare the output on the two platforms. Do they react the same?
References and Further Reading
Summary
In this section, you learned how to capture and fire events. You learned the difference between component level and app-level events, as well as how and when to use them. Finally, you tested event propagation to determine that on both platforms, events bubble up though only a single event object is created and passed among the interested event listeners. Next we'll move on to handling one of the most used UI components in today's apps: the TableView.


{% extends 'layouts/application.html' %}
{% set title = "Templates" %}
{% set body_classes = "layout-app" %}
{% block before_main %}
{% endblock %}
{% block content %}
OverviewPage Templates
Templates are where all the UI components come together in complete layouts. These templates are great starting point for prototyping or for trying the Design System to see if they’re a good fit for you.
{% endblock %}


Please select a credential of Kind Rigor API Key here.
Note: Your Rigor Optimization API key can be found on the API Credentials settings page in the Rigor Optimization application. The API key must have User or higher level permissions.


Tech Treasure Hunt - Final Question
Crossword Puzzle
×
Congratulations!
You have finished the puzzle.


BackSpace
Highscore :
{ OPTIONS }
×
OPTIONS
Done
GAME MUSIC :
Controls :
Single Tap
Double Tap
---THANK YOU---
If you like the game, spread the word


Serial killer Joanna Dennehy 'threatened mums on school run' and 'flirted with police' after arrest
The mum-of-two stabbed three men to death within just 10 days in the Peterborough Ditch Murders and even her defence barrister was terrified of her
by Jane Lavender, https://www.facebook.com/dailymirror/Sadistic mum-of-two Joanna Dennehy brutally stabbed three men to death within a chilling 10 day murder spree.
Driven by a "lust for blood", Dennehy then dumped the bodies in ditches around Peterborough with two accomplices.
She first killed her house mate, Lukasz Slaboszewski, on March 19, 2013.
Then 10 days later she butchered her second house mare, John Chapman, anda third man, Kevin Lee.
Kevin Lee was dressed in a black sequined dress before Dennehy dumped his corpse.
Their bodies were found on April 3.
Her appalling crimes became known as the Peterborough Ditch Murders and even after her killing spree, Dennehy didn't stop her violence.
She attacked two random dog walkers, stabbing one 30 times, before she was finally taken into custody.
But before Dennehy murdered her three victims, she had been terrifying other mums in the playground while on the school run.
Her former partner and father of her children, John Treanor, told QuestRed's The Killer In My Family that she had always been "jealous and abusive", especially to other mums.
He said: "She was threatening female friends of mine up the school.
"I was even pulled in with a social worker, headteacher, and my daughter's teacher who basically said she can't come up to the school anymore because she was threatening people that I was talking to.
"She liked to control me in so many different ways."
And Dennehy's disturbing behaviour was also affecting her young children.
John said: "Her idea of playing with my eldest daughter was throwing stones at cars. It wasn't a normal mother-daughter relationship."
Even her own defence team were terrified of the killer.
Dennehy's defence barrister Michael Proctor admits he was very anxious in her presents and even feared she would harm him.
He said: "I remember her picking up a pen, a pen that I just happened to have on me.
"Obviously, if I'm in a situation with a lady who has got nothing to lose, I start having thoughts thinking that she could do anything she wants at this particular point.
"It's not going to make any difference. I thought it was a strange situation to be in, and I can remember taking the pen carefully away."
And when Dennehy was finally arrested and taken into custody, she flirted with police officers as they presented the huge catalogue of evidence against her.
Dennehy was caught while she was on the run for the three murders when she randomly attacked two dog walkers.
But it was her behaviour after her arrest that was truly chilling.
Journalist Laura Bill told QuestRed's The Killer In My Family: "When Dennehy was arrested, she was flirting with the officers who arrested her, she was running her hands through her hair, she was very flippant about the charges that she was being presented with."
It seemed the killer was revelling in the attention she was receiving from the police, a theory backed by by forensic criminologist, Dr Jane Monckton Smith.
She said: "This person is not anxious or concerned or remorseful that she's been arrested.
"She was almost, I would say, enjoying it. She was flirting with the officers, she was smiling, she was leaning across the desk in a very familiar way."
Joanne Dennehy pleaded guilty to three counts of murder and two further attempted murders and was sentenced to a whole-life term in prison.


Affine & Convex Combinations
In affine space, (convex) geometry can be defined by the convex combination of a series of points: An affine combination (a summation of weighted points where the weights total one) where the coefficients of the combination must be between 0–1
\[\mathbf{p} = \sum_i w_i\mathbf{p}_i\ \text{where }\sum_i w_i = 1\ \text{and }0\leq w_i \leq 1\]So long as the weights of the affine combination satisfy the convex property, the point defined by the combination is inside the polygon. As we move outside the polygon, the affine combination (within the affine hull of the points: A line for 2 points, a plane for 3 non-colinear points, a volume for 4 non-planar points, etc.) indicates the relationship of the point to the polygon. This is especially useful for point-in-polygon testing: If all the coordinates are convex, then the point is the the polygon; if not, negative values are “below” the related point whereas values greater than one are “above” the edge opposite that point. We will use the convex/affine combination for rasterization.


Class Account
Normal Nimiq account object returned by the server.
Namespace: Nimiq.Models
Assembly: NimiqClient.dll
Syntax
public class Account : object
Properties
| Improve this Doc View SourceAddress
User friendly address (NQ-address).
Declaration
public string Address { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
Balance
Balance of the account (in smallest unit).
Declaration
public long Balance { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int64 |
Id
Hex-encoded 20 byte address.
Declaration
public string Id { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
Type
The account type associated with the account.
Declaration
public AccountType Type { get; set; }
Property Value
| Type | Description |
|---|---|
| AccountType |


Home
Index
Table of Contents
VarDef
Definition of Variables
Definitions
Abstract Syntax
Types
Terms and Values
Basic Characteristics
Type Assigment and Subtyping
OperationProperties
Properties of Operations
StructuralProperties
Structural Properties of Full D
<:
Misc
Miscellaneous Definitions
Definition of Well-formedness of Contexts
Definition of Structural Measures
OpeSub
OPE
<:
Stareat
Definitions Related to Stare-at Subtyping
Definition of
Revealing
Definition of
Upcast
Definition of
Downcast
Definition of Stare-at Subtyping
Termination of Stare-at Subtyping
Step
Definitions Related to Step Subtyping
Definition of
Exposure
Definition of
Upcast
Definition of
Downcast
Definition of Step Subtyping
An Alternative Definition of
Exposure
A Formalization of Termination of Step Subtyping
Proofs of Step Subtyping Being Algorithmic
Kernel
Definition and Properties of Kernel D
<:
Lack of Transitivity
Soundness and Completeness of Step Subtyping w.r.t. Kernel D
<:
StrongKernel
Definition and Properties of Strong Kernel D
<:
Strong Kernel D
<:
Subsuming Kernel D
<:
Soundness and Completeness of Stare-at Subtyping w.r.t. Strong Kernel D
<:


--- title: "SOC224 3.01 Useful online resources for SPSS" lastmod: 2018-05-25T00:00:00 draft: false type: docs maths: true output: blogdown::html_page: toc: true linktitle: "3.01 SPSS: Online Help" menu: docs: parent: SOC224 weight: 301 ---
While Google is often your best friend when trying to do statistical analysis, sometimes it also helps to have dedicated places to go to, that you know you can trust.
Below are three websites which we recommend as places to find information about how to use SPSS.
IBM SPSS Statistics Base Manual A large PDF manual with how to do just about anything in SPSS.
IBM SPSS list of all manuals A page with all the various IBM SPSS offical manuals.


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|
BubbleProfiler
0.3.0
by Peter Athron, Csaba Balazs, Michael Bardsley, Andrew Fowlie, Dylan Harries & Graham White
|
Abstract class to represent ansatz generators. More...
#include <profile_guesser.hpp>
Public Member Functions | |
| virtual | ~Profile_guesser ()=default |
| virtual Field_profiles | get_profile_guess (const Potential &potential, const Eigen::VectorXd &true_vacuum, int n_dimensions, double domain_start, double domain_end, double initial_step_size, double interpolation_points_fraction_)=0 |
| Calculate an initial guess for the bubble profile. More... | |
Abstract class to represent ansatz generators.
Definition at line 30 of file profile_guesser.hpp.
|
virtualdefault |
|
pure virtual |
Calculate an initial guess for the bubble profile.
The calculated profiles should be evaluated at the requested number of points, n_grid_points
, between the minimum and maximum radial coordinate values, domain_start
and domain_end
, respectively. If a negative value is given for either of these, appropriate values are to be guessed based on the given potential and vacuum location.
| potential | the potential for which the profiles are to be computed |
| true_vacuum | the location of the true vacuum in field space |
| n_dimensions | the number of space-time dimensions |
| domain_start | the minimum value of the radial coordinate at which the profiles are evaluated. If negative, the function should guess an appropriate value. |
| domain_end | the maximum value of the radial coordinate at which the profiles are evaluated. If negative, the function should guess an appropriate value. |
| initial_step_size | the initial step size to be used in constructing the discretized solution |
| interpolation_points_fraction | fraction of grid points to use for interpolation |
Implemented in BubbleProfiler::Instream_profile_guesser, BubbleProfiler::Kink_profile_guesser, and BubbleProfiler::Shooting_profile_guesser.


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Four killed at California backyard party, gunman on the loose, say police
FRESNO, Nov 18 — A gunman was still on the loose overnight after opening fire at a family party in a backyard in Fresno, California late yesterday, killing four people and wounding six, police said.
The gunman walked into the backyard where a gathering of about 35 family and friends was watching a football game before 8 p.m., Fresno Deputy Police Chief Michael Reed said in a late night news conference. Three men died at the scene and another died at a hospital, he said.
“Our hearts go out to the families of the victims of this thing,” Reed said. “This was senseless violence. We’re going to do everything we can to find out who the perpetrators were and bring them to justice.”
Neighbors soon flooded 911 dispatchers with calls for help.
The suspect fled the scene and police were combing the neighborhood for witnesses and possible security camera footage, police said.
Police did not release further information about the shooting in the city about 200 miles (320 km) north of Los Angeles, except that the dead were men between the ages of 25 and 35.
Others wounded at the party may have driven themselves to hospital, police said, adding that some victims were taken to a nearby community medical center with gunshot wounds.
A police spokesman was not immediately available to Reuters for further comment. — Reuters


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