MAX6966 10-channel, daisy-chainable, constant-current sink, 8bit PWM LED driver.
More...
#include <xpcc/driver/pwm/max6966.hpp>
|
| static void | initialize (max6966::Current current, uint8_t config=0) |
| |
|
static void | setConfiguration (uint8_t config, uint8_t driver=0) |
| | configure the Chip
|
| |
|
static void | setAllConfiguration (uint8_t config) |
| | configure the Chip
|
| |
|
static uint8_t | getConfiguration (uint8_t driver=0) |
| | get Chip configuration
|
| |
|
static void | setRampUpTime (max6966::Time time=max6966::TIME_1s, uint8_t driver=0) |
| | configure the ramp up time
|
| |
|
static void | setHoldTime (max6966::Time time=max6966::TIME_1s, uint8_t driver=0) |
| | configure the hold time
|
| |
|
static void | setRampDownTime (max6966::Time time=max6966::TIME_1s, uint8_t driver=0) |
| | configure the ramp down time
|
| |
|
static void | setChannel (uint16_t channel, uint8_t value) |
| | set the 8bit value of a single channel
|
| |
|
static void | setChannelIntensity (uint16_t channel, uint8_t intensity) |
| | set the intensity of a single channel
|
| |
| static void | setChannels (uint8_t *values) |
| | More efficient version to set all channels differently Avoids writing NO_OPS. More...
|
| |
|
static void | setChannelsIntensity (uint8_t *intensity) |
| |
| static void | setAllChannels (uint8_t value) |
| |
|
static void | setAllChannelsIntensity (uint8_t value) |
| |
|
static uint8_t | getChannel (uint16_t channel) |
| | get the 8bit value of a channel from the chip
|
| |
|
static void | setHalfCurrent (uint16_t channel, bool full=true) |
| |
|
static void | setCurrent (max6966::Current current, uint8_t driver=0) |
| | set peak current of one driver
|
| |
|
static void | setAllCurrent (max6966::Current current) |
| | set peak current of all drivers
|
| |
|
|
static void | writeToDriver (uint8_t driver, max6966::Register reg, uint8_t data) |
| |
|
static uint8_t | readFromDriver (uint8_t driver, max6966::Register reg) |
| |
|
static void | writeToDriverMasked (uint8_t driver, max6966::Register reg, uint8_t data, uint8_t mask) |
| |
|
static uint8_t | intensityToPwm (uint8_t intensity) |
| | Fix the stupid PWM values of MAX6966.
|
| |
template<typename Spi, typename Cs, uint8_t DRIVERS = 1>
class xpcc::MAX6966< Spi, Cs, DRIVERS >
- Template Parameters
-
| Spi | Spi interface |
| Cs | Chip Select Pin |
| DRIVERS | Number of daisy-chained chips |
- Author
- Niklas Hauser
◆ initialize()
template<typename Spi , typename Cs , uint8_t DRIVERS = 1>
| static void xpcc::MAX6966< Spi, Cs, DRIVERS >::initialize |
( |
max6966::Current |
current, |
|
|
uint8_t |
config = 0 |
|
) |
| |
|
static |
- Parameters
-
| current | Set the global current |
| config | Enable Data Output, disable external Clock Input |
◆ setChannels()
template<typename Spi , typename Cs , uint8_t DRIVERS = 1>
Sets the same channels of all drivers at the same time.
- Parameters
-
| values | array with all pwm values for all channels and drivers. |
◆ setAllChannels()
template<typename Spi , typename Cs , uint8_t DRIVERS = 1>
- Parameters
-
| value | the 8bit value of all channels (same value for all channels) |
The documentation for this class was generated from the following file:


This tutorial assumes you have completed Parts 1-3, since it will build off of the same epilogue. For this tutorial, we'll be adding some particle effects.
Particle effects are sprites that are controlled via a physics engine rather than key frame animation..
Fog Effect
To add some mystique to the scene, we'll be adding some smoke particles.- Open up your ending to the Blue scene.
- Make sure the "Oh no!" action is selected.
- Add an emitter using the button next to the "Add Speech Bubble" button. Emitters are invisible objects that create particles.
- Set the ID to "smoke machine".
- Emitters have no graphical representation in the game, but in the editor are represented by a circle with an arrow pointing in the direction of the emitter.
- Drag the emitter to somewhere around Florina's foot level, around (X: 1250, Y: 1350).
- With the cursor on the outside of one of the emitter's corners so that a curved arrow appears, drag to rotate the emitter. Rotate it to point left. Alternatively, manually set the rotation to -90.
- We need to assign a sprite to the emitter. Click ... in the Source field and choose ep_fog.png from Florina's folder.
- As long as the emitter is selected, you'll see it emit particles. Every second, a fog sprite appears and fades away.
- The fog is sideways because the emitter is rotated sideways. Check "Ignore rotation" in the Property Table. Now the fog is facing the right direction.
- We want the fog to move across the scene.
- Emitters have dozens of properties compared to other directives. Find Speed and set the fields to 200 and 250, meaning each particle will move between 200-250 pixels per second.
- The fog begins moving left but fades away too quickly.
- Set Particle Life (s): 15.00
- Set Start Scale X: 2.00 to 3.00. When both fields are provided, every fog particle will use a random scale between 2 and 3.
- The fog just looks like one long line, so let's add some variance to the direction it moves. Set Angle to 5, meaning each particle will be spit out between -5 and 5 degress from the direction the emitter is facing.
- It's still too thick, so set Start Alpha: 50 to 60.
- This is looking pretty decent now, so let's do it again on the other side. Select the "smoke machine" object in the timeline and press Ctrl+D to duplicate it.
- Name the duplicate "smoke machine 2".
- Change the following properties, keeping the old values in all others. If these are not available, click the initial keyframe for "smoke machine 2."
- X: -1680
- Rotation: 90
- Play through the scene and admire the foggy ground. So mysterious!
- The editor is really not a fan of big, translucent images, so this may really bog down the preview. It should be much smoother in game.
Sparks
Particles don't need images. We'll add a spark effect to the orb explosion to demonstrate another use for particles.- Use the Add Emitter button to add another emitter.
- Name the emitter's ID: "sparks".
- Drag this emitter to the middle of the orb, (X: -240, Y: 1280).
- Set Width and Height to 10.
- Set Speed: 800 to 900
- Go down to the Start Color and End Color properties and fill them out with yellow and orange colors so that the particles take a random color between yellow and orange. The particles will start flying into the sky.
- Bump the Rate up to 5.00 so we can see the randomness more easily.
- Set Particle Life (s): 1.5 to 2.
- Set Force Y: 1000. This adds a gravity effect to the sparks.
- Set Angle: 90.
- These settings give a good enough effect for particles flying out of the orb in random directions and falling to the ground, but we don't want to emit particles constantly.
- Set the Rate to 0 to stop creating particles completely.
As you may have seen already, using lots of particle effects can be very taxing on performance, so use them sparingly.
Burst Particles
As mentioned in the previous section, we don't want an endless stream of sparks, so we'll use a burst emission.- Make sure "sparks" is selected in the timeline.
- Move the time marker to 0:00s.
- Click the "Add Particle Emission" button next to the "Add Emitter" button.
- A rectangle appears in the timeline. You can drag this around to change where the burst occurs.
- Click on the rectangle to open it in the Property Table.
- Set Count: to 100 to generate 100 particles at once.
- Preview the animation to see this effect. You should see a semi-circle of sparks flying out of the orb.
- This isn't exactly realistic, so let's lower the number and add more bursts.
- Set Count: to 20.
- Copy the "Emit Particle" directive. (Ctrl+C while selected).
- Move the time marker to 0.06s and paste (Ctrl+V).
- Move the time marker to 0.12s and paste (Ctrl+V).
- You should now have 3 bursts.
- Play through the scene. Good enough!
Animating Emitters
Emitters can be animated just like sprites. We'll use this knowledge to make a trail of sparks behind the orb as it rolls.- Click the sparks emitter directive in the scene view and copy it (Ctrl+C).
- Click the Camera directive in the scene view and paste (Ctrl+V) to insert the new emitter directly after the camera animation directive.
- Click the "Oh no!" action in the Action list to go back to the action where the orb rolls into place.
- Click in the timeline and paste (Ctrl+V) to paste a new "sparks" emitter.
- Name this emitter "trail".
- We don't need the burst effects anymore, so click each rectangle and delete them (Delete button)
- Drag the emitter object in the timeline so it starts at 0.5s (same as where the orb starts).
- Move the emitter behind the orb's starting point (X: -1450, Y: 1375).
- Set the following properties, clearing out all others (use the eraser button next to the field).
- Rotation: -33
- Rate: 100
- Angle: 5
- Speed: 300 to 500
- Force Y: 500
- Start Color: Use current, duplicated values
- End Color: Use current, duplicated values
- Start Alpha: 100
- End Alpha: 0
- Drag the time marker to 1.5s.
- Move the emitter to X: -80.
- We don't want to keep creating a trail after it stops moving, so toggle the emitter to have a fixed length.
Final Review
That's it. You've completed an epilogue that covers all the basics: scenes, transitions, camera movement, animations, fades, and particle effects. Try it out in the game one more time to verify everything looks good.
There are several parameters for particles that were not covered in this tutorial.


FriendFinder
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On FriendFinder, you’re more than than a swipe. Every photo you share tells a story, the places you've been, and people you've met along the way that set you apart from the others. Show everyone the real you, not just another "Swipe Sara." Take our 5 minute survey to find others like you, near you. Because you deserve to show others how much better your life is than theirs: better.


Useful fonts By Varun Barad on August 12, 2022 This is a list of interesting/useful fonts which can be used: Saira Chakra Petch Cinzel Categories: #miscellaneous #all


(PECL getdns >= 0.11.0)
php_getdns_dict_get_data_type — Get the data type of an element from a dictionary.
$dict
, string $name
, int &$value
)This function gets the data type of an element from a dictionary. The dictionary type is used to manage name/value pairs in which the names are strings and the data types of the values are heterogeneous and include bindata, dictionaries, lists, and integers.
dict
The previously created dictionary that is to be used with this request.
name
The name whose associated data type is to be returned.
value
The data type of the named dictionary element. Valid values include constants t_bindata, t_dict, t_int, and t_list. Note that this argument is passed by reference and any existing value will be overwritten.
This function returns an integer response code. GETDNS_RETURN_GOOD indicates successful completion.


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title=Spring IO 2012 date=2012-02-17 type=post tags=blog status=published ~~~~~~
Looking forward to presenting my talk on Integration and Batch Processing with Cloud Foundry tomorrow at Spring IO 2012. RabbitMQ, Spring Integration and Cloud Foundry are Natural Vehicles for applications that handle large workloads and scale well. In this talk, I'll introduce common architectural patterns to better scale, using Spring Integration and Spring Batch, using RabbitMQ as the communication fabric. For those of you who want the deck, it's available here.


{{for|FoLAR the environmental organization|Friends of the Los Angeles River}} {{Infobox prepared food | name = Folar | image = | caption = Folar de Chaves | alternate_name = | country = Portugal | region = | creator = | course = | type = Bread | served = | main_ingredient = | variations = | calories = | other = }}
Folar is a traditional Portuguese bread served at the Christian holidays of Passover and Easter. The recipe varies from region to region and it may be sweet or salty.
It is traditional to offer folar to godfathers and priests at Easter, in imitation of the distribution of bread at the Last Supper. Folar is sometimes served with a boiled egg, that symbolically represents rebirth and the Resurrection.
Folar de Chaves, popular in the north-eastern Portuguese regions of Chaves and Valpaços, is stuffed with pork, ham, salpicão and linguiça.
There are also sweet folars like the folar from Olhão, that consists of seven layers with melted sugar and cinnamon, and the more common folar with anise and cinnamon.
{{portal|Food}}
{{reflist}}
{{bread-stub}}


maf_bgzip
- optimally BGZF-compresses and indexes MAF files
maf_bgzip
[-d dir] maf ...
maf_bgzip
[-d dir] --index [--all] maf ...
maf_bgzip is part of the bioruby-maf library and compresses Multiple Alignment Format (MAF) files in the Blocked GZip Format (BGZF), enabling efficient random access. It can optionally index these files as well.
maf_bgzip
can be used as an import tool to prepare MAF files from an
external source such as UCSC for use by the other bioruby-maf
tools. Such MAF files are often gzipped; these can be handled
transparently by maf_bgzip
, without a separate gunzip(1) step.
This is a MAF-specific replacement for the bgzip(1) tool shipped with samtools. Unlike the output of bgzip(1), each BGZF block (which can be up to 64 KB of uncompressed data) will contain an integer number of MAF blocks, except in the case of MAF blocks larger than 64 KB. This means that except in unusual cases, a MAF block will be able to be read without having to read more than one BGZF block.
Compress mm8.chrM.maf
, creating mm8.chrM.maf.bgz
in the current
directory:
$ maf_bgzip mm8.chrM.maf
Re-compress and index mm8.chrM.maf.gz
(on all sequences) into the
/data/maf/
directory, creating /data/maf/mm8.chrM.maf.bgz
and
/data/maf/mm8.chrM.kct
:
$ maf_bgzip --dir /data/maf --index --all mm8.chrM.maf.gz
As above, but with all .maf.gz
files in the current directory:
$ maf_bgzip --dir /data/maf --index --all *.maf.gz
-d
, --dir DIR
The directory to write the compressed MAF files and indexes to.
-i
, --index
Index the compressed MAF files as by maf_index(1).
-a
, --all
When --index
is specified, index all sequences, not just the
reference sequence.
-l
, --level LEVEL
GZip compression level (1-9) to use for the output BGZF file. Lower compression levels give better compression performance but produce larger output files. The default level is 2, which gives output files roughly twice as large as gzipped MAF files but still much smaller than uncompressed MAF files.
-f
, --force
Overwrite BGZF files and indexes if they already exist. If
--force
is not given, maf_bgzip
will exit with an error if any
output files already exist.
-j
, --jobs N
Number of concurrent jobs to run, analogous to make -j
. This will
use threads under JRuby, and fork(2) otherwise. Note that under
JRuby, each job already uses multiple threads, so less than one job
per core may be appropriate depending on your system. The default
is 1 job.
-q
, --quiet
Run quietly, with warnings suppressed.
-v
, --verbose
Run verbosely, with additional informational messages.
--debug
Log debugging information. This includes progress messages every 10 seconds showing the processing rate and other information. For instance:
DEBUG bio-maf: chr21.maf.gz: processed 94.0 MB (26.6%) in 50s, 2.18 MB/s.
The MAF files must be valid and have names ending in .maf
. They may
be gzip-compressed, in which case their names should end with .maf.gz
.
The BGZF-compressed MAF files will be optimally compressed for random
access and named with a .maf.bgz
suffix.
Indexes created will be Kyoto Cabinet databases as created by
maf_index(1) and have the .maf[.gz]
suffix replaced with .kct
.
maf_bgzip
is a Ruby program and relies on ordinary Ruby environment
variables.
None known.
maf_index
is copyright (C) 2012 Clayton Wheeler.
ruby(1), maf_index(1), bgzip(1)
BGZF is specified in the SAM/BAM specification: http://samtools.sourceforge.net/SAM1.pdf


public class C
extends java.lang.Object
| Constructor and Description |
|---|
C() |
| Modifier and Type | Method and Description |
|---|---|
static java.lang.String |
bold(java.lang.String value)
Returns a bold string.
|
static java.lang.String |
code(java.lang.String value)
Returns a small codeblock of used value.
|
static java.lang.String |
codeblock(java.lang.String value)
Returns a codeblock of used value.
|
static boolean |
containsBool(java.lang.String check)
Test to see if a string can be parsed as a boolean.
|
static boolean |
containsImage(net.dv8tion.jda.core.entities.Message message)
Tests for an image in target message.
|
static boolean |
containsMention(com.jagrosh.jdautilities.command.CommandEvent e)
Detects if a message contains a user mention.
|
static void |
dlFile(java.lang.String url,
java.lang.String outputName)
Downloads a file to chosen output location.
|
static java.lang.String |
escape(java.lang.String value)
Escape a string so no formatting is applied on discord
|
static net.dv8tion.jda.core.managers.GuildController |
getCtrl(com.jagrosh.jdautilities.command.CommandEvent e)
Gets the
GuildController Class from a CommandEvent . |
static java.lang.String |
getFullName(net.dv8tion.jda.core.entities.User user)
Gets the full name of the user.
|
static net.dv8tion.jda.core.entities.Guild |
getGuild()
Gets the happyheart guild easily.
|
static net.dv8tion.jda.core.managers.GuildController |
getGuildCtrl()
Gets the happyheart guild controller.
|
static java.lang.String |
getImage(net.dv8tion.jda.core.entities.Message message)
Gets the image url from a message.
|
static net.dv8tion.jda.core.entities.Member |
getMemberFromName(java.lang.String name)
Gets a
Guild Member from their name. |
static net.dv8tion.jda.core.entities.Member |
getMentionedMember(com.jagrosh.jdautilities.command.CommandEvent e)
Gets the member/sender from the
CommandEvent in the JDA Member Format. |
static net.dv8tion.jda.core.entities.Member |
getMentionedMember(com.jagrosh.jdautilities.command.CommandEvent e,
int index)
Gets the member/sender from the
CommandEvent in the JDA Member Format. |
static void |
giveRole(net.dv8tion.jda.core.entities.Member m,
Roles role)
Adds a role to a guild member.
|
static void |
giveRole(net.dv8tion.jda.core.entities.Member m,
Roles role,
java.lang.String reason)
Adds a role to a guild member.
|
static boolean |
hasRole(net.dv8tion.jda.core.entities.Member m,
Roles r)
Sees if a user has the role displayed.
|
static void |
log(java.lang.String s)
Deprecated.
|
static java.lang.String |
permMsg(Roles r)
Returns the perm message for a Role.
|
static java.lang.String |
prettyNum(int in)
Returns a number as a String in comma formatted style.
|
static java.lang.String |
prettyRoleArray(java.util.Collection<net.dv8tion.jda.core.entities.Role> list)
Turns a role array into a list of role names seperated by commas.
|
static java.lang.String |
prettyStringArray(java.util.Collection<java.lang.String> list)
Turns a string array into a list seperated by commas.
|
static void |
privChannel(net.dv8tion.jda.core.entities.Member m,
net.dv8tion.jda.core.entities.MessageEmbed embed) |
static net.dv8tion.jda.core.entities.Message |
privChannel(net.dv8tion.jda.core.entities.Member m,
net.dv8tion.jda.core.entities.MessageEmbed message,
boolean returnItem) |
static void |
privChannel(net.dv8tion.jda.core.entities.Member m,
java.lang.String message)
Opens a private channel with a user.
|
static net.dv8tion.jda.core.entities.Message |
privChannel(net.dv8tion.jda.core.entities.Member m,
java.lang.String message,
boolean returnItem) |
static java.lang.String |
readUrl(java.lang.String urlString)
Gets the body of the given URL as a string
|
static void |
removeRole(net.dv8tion.jda.core.entities.Member m,
Roles role)
Removes a role from a guild member.
|
static void |
removeRole(net.dv8tion.jda.core.entities.Member m,
Roles role,
java.lang.String reason)
Removes a role from a guild member.
|
static java.lang.String |
slant(java.lang.String value)
Returns an italicized string.
|
static boolean |
toggleRole(net.dv8tion.jda.core.entities.Member m,
Roles role)
Toggles the role of a user.
|
static java.lang.String |
underline(java.lang.String value)
Returns an underlined string.
|
static java.lang.String |
urlExpand(java.lang.String baseUrl)
Expands a short url and gives the full URL output.
|
static void |
writeFile(java.lang.String file,
java.lang.String content)
Writes the first line of a file.
|
public static boolean hasRole(net.dv8tion.jda.core.entities.Member m, Roles r)
m
- The member that has the role.r
- The role you are testing for.@Deprecated public static void log(java.lang.String s)
s
- Message that you wish to log in the bot format.@Nonnull public static net.dv8tion.jda.core.entities.Member getMentionedMember(com.jagrosh.jdautilities.command.CommandEvent e)
CommandEvent
in the JDA Member Format.e
- The Command Event that you need the member from.@Nonnull public static net.dv8tion.jda.core.entities.Member getMentionedMember(com.jagrosh.jdautilities.command.CommandEvent e, int index)
CommandEvent
in the JDA Member Format.e
- The Command Event that you need the member from.index
- The mentioned member to getpublic static boolean containsMention(com.jagrosh.jdautilities.command.CommandEvent e)
e
- The CommandEvent
where the mention is from.public static java.lang.String permMsg(Roles r)
r
- The role the message is made for.public static net.dv8tion.jda.core.managers.GuildController getCtrl(com.jagrosh.jdautilities.command.CommandEvent e)
GuildController
Class from a CommandEvent
.e
- The target CommandEvent
GuildController
public static java.lang.String urlExpand(java.lang.String baseUrl)
baseUrl
- The short url given for conversion.public static void dlFile(java.lang.String url, java.lang.String outputName)
url
- The URL where the target is located.outputName
- The File/Path where the file will be placed.public static net.dv8tion.jda.core.entities.Guild getGuild()
Guild
of happyheart fanbase.public static net.dv8tion.jda.core.managers.GuildController getGuildCtrl()
GuildController
of happyheart guild.public static boolean toggleRole(net.dv8tion.jda.core.entities.Member m, Roles role)
m
- The member who you want the role on.role
- The role you want toggled.public static void removeRole(net.dv8tion.jda.core.entities.Member m, Roles role)
m
- The target guild member.role
- The target role.public static void removeRole(net.dv8tion.jda.core.entities.Member m, Roles role, java.lang.String reason)
m
- The target guild member.role
- The target role.reason
- The reason to show in the audit log.public static void giveRole(net.dv8tion.jda.core.entities.Member m, Roles role)
m
- The target guild member.role
- The target role.public static void giveRole(net.dv8tion.jda.core.entities.Member m, Roles role, java.lang.String reason)
m
- The target guild member.role
- The target role.reason
- The reason to show in the audit log.public static void writeFile(java.lang.String file, java.lang.String content)
file
- The target file.content
- The content of said file.public static java.lang.String prettyNum(int in)
in
- The input number.public static void privChannel(net.dv8tion.jda.core.entities.Member m, java.lang.String message)
m
- The Guild Member
that gets the private channel.message
- The message to send via private channel.public static net.dv8tion.jda.core.entities.Message privChannel(net.dv8tion.jda.core.entities.Member m, java.lang.String message, boolean returnItem)
public static net.dv8tion.jda.core.entities.Message privChannel(net.dv8tion.jda.core.entities.Member m, net.dv8tion.jda.core.entities.MessageEmbed message, boolean returnItem)
public static void privChannel(net.dv8tion.jda.core.entities.Member m, net.dv8tion.jda.core.entities.MessageEmbed embed)
public static java.lang.String codeblock(java.lang.String value)
value
- Text in the code block.public static java.lang.String code(java.lang.String value)
value
- Text in the small code block.public static java.lang.String bold(java.lang.String value)
value
- Text to be bold.public static java.lang.String slant(java.lang.String value)
value
- Text to be italicized.public static java.lang.String underline(java.lang.String value)
value
- Text to be underlined.public static java.lang.String escape(java.lang.String value)
value
- Text to be escaped.public static boolean containsBool(java.lang.String check)
check
- String to be tested.public static boolean containsImage(net.dv8tion.jda.core.entities.Message message)
message
- The target message to be tested.public static java.lang.String getImage(net.dv8tion.jda.core.entities.Message message)
message
- The target message.public static java.lang.String readUrl(java.lang.String urlString)
urlString
- the URL to get the body ofpublic static java.lang.String getFullName(net.dv8tion.jda.core.entities.User user)
user
- the user to get the name of@CheckForNull public static net.dv8tion.jda.core.entities.Member getMemberFromName(java.lang.String name)
Guild Member
from their name.name
- The name of the memeber.public static java.lang.String prettyStringArray(java.util.Collection<java.lang.String> list)
list
- The string arraypublic static java.lang.String prettyRoleArray(java.util.Collection<net.dv8tion.jda.core.entities.Role> list)
list
- The role array


| I l@ve RuBoard |
Before going into details about stream classes, I briefly discuss the generally known aspects of streams to provide a common background. This section could be skipped by readers familiar with iostream basics.
In C++, I/O is performed by using streams. A stream is a "stream of data" in which character sequences "flow." Following the principles of object orientation, a stream is an object with properties that are defined by a class. Output is interpreted as data flowing into a stream; input is interpreted as data flowing out of a stream. Global objects are predefined for the standard I/O channels.
Just as there are different kinds of I/O (for example, input, output, and file access), there are different classes depending on the type of I/O. The following are the most important stream classes:
Class istream
Defines input streams that can be used to read data.
Class ostream
Defines output streams that can be used to write data.
Both classes are instantiations of template classes, namely of the classes basic_istream<> and basic_ostream<> using char as the character type. Actually, the whole IOStream library does not depend on a specific character type. Instead the character type used is a template argument for most of the classes in the IOStream library. This parameterization corresponds to the string classes and is used for internationalization (see also Section 14).
This section concentrates on output to and output from "narrow streams"; that is, streams dealing with char as the character type. Later in this chapter the discussion is extended to streams that have other character types.
The IOStream library defines several global objects of type istream and ostream. These objects correspond to the standard I/O channels:
cin
cin (of class istream) is the standard input channel that is used for user input. This stream corresponds to C's stdin. Normally, this stream is connected to the keyboard by the operating system.
cout
cout (of class ostream) is the standard output channel that is used for program output. This stream corresponds to C's stdout. Normally, this stream is connected to the monitor by the operating system.
cerr
cerr (of class ostream) is the standard error channel that is used for all kinds of error messages. This stream corresponds to C's stderr. Normally, this stream is also connected to the monitor by the operating system. By default, cerr is not buffered.
clog
clog (of class ostream) is the standard logging channel. There is no C equivalent for this stream. By default, this stream is connected to the same destination as cerr, with the difference that output to clog is buffered.
The separation of "normal" output and error messages makes it possible to treat these two kinds of output differently when executing a program. For example, the normal output of a program can be redirected into a file while the error messages are still appearing on the console. Of course, this requires that the operating system supports redirection of the standard I/O channels (most operating systems do). This separation of standard channels originates from the UNIX concept of I/O redirection.
The shift operators << for input and >> for output are overloaded for the corresponding stream classes. For this reason, in C++ the "shift operators" became the "I/O operators."[2] Using these operators, it is possible to chain multiple I/O operations.
[2] According to the fact that these operators insert characters into a stream or extract characters from a stream, some people also call the I/O operators inserters and extractors.
For example, for each iteration, the following loop reads two integers from the standard input (as long as only integers are entered) and writes them to the standard output:
int a, b; // as long as input of a and b is successful while (std::cin >> a >> b) { // output a and b std::cout << "a: " << a << " b: " << b << std::endl; }
At the end of most output statements, a so-called manipulator is written:
std::cout << std::endl
Manipulators are special objects that are used to, guess what, manipulate a stream. Often, manipulators only change the way input is interpreted or output is formatted, like the manipulators for the numeric bases dec, hex, and oct. Thus, manipulators for ostreams do not necessarily create output, and manipulators for istreams do not necessary consume input. But there are also manipulators that actually trigger some immediate action. For example, a manipulator can be used to flush the output buffer or to skip whitespace in the input buffer.
The manipulator endl means "end line" and does two things:
Outputs a newline (that is, the character '\n')
Flushes the output buffer (forces a write of all buffered data for the given stream using the stream method flush())
The most important manipulators defined by the IOStream library are provided in Table 13.1.
Section 13.6, discusses manipulators in more detail, including those that are defined in the IOStream library, and describes how to define your own manipulators.
| Manipulator | Class | Meaning |
|---|---|---|
| endl | ostream | Outputs '\n' and flushes the output buffer |
| ends | ostream | Outputs '\0' |
| flush | ostream | Flushes the output buffer |
| ws | istream | Reads and discards whitespaces |
The use of the stream classes is demonstrated by the following example. This program reads two floating-point values and outputs their product:
// io/io1.cpp #include <cstdlib> #include <iostream> using namespace std; int main() { double x, y; // operands // print header string cout << "Multiplication of two floating point values" << endl; // read first operand cout << "first operand: "; if (! (cin >> x)) { /* input error * = > error message and exit program with error status */ cerr << "error while reading the first floating value" << endl; return EXIT_FAILURE; } // read second operand cout << "second operand: "; if (! (cin >> y)) { /* input error * => error message and exit program with error status */ cerr << "error while reading the second floating value" << endl; return EXIT_FAILURE; } // print operands and result cout << x << " times " << y << " equals " << x * y << endl; }
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This is the plugin repository for Nikola, a static site and blog generator.
Tests status (all plugins with tests):
If you want to contribute a plugin, you can do so at the GitHub repository, which also contains a README.md describing the process and hinting at some things you should do if you want your plugin here.
Warning: plugins are Python code. Some of them may contain malicious code, intentionally or not (even though there is code review for plugins.) Use at your own risk.


“Hmm, Upgrades.” – Neo
We’re rolling along with the first set of changes! Consider this a “beta” release, as some of the new functions are still very raw and easily breakable. I hope that this gives everyone a good idea for how this theme will be taking shape as we move forward. The biggest addition is the amazing Options Framework by @devinsays. This will help us keep track of the meta information and other small pieces that clutter up the head unless in use.
Stay tuned for more updates and please continue to comment if you have any issues!
Good news! WordPress developer and all around good guy CK Hicks (@ckhicks) has offered to help me out (read as: do the WordPress work I’m incapable of) with getting these files up to date!
The main HTML5 Reset repo has finally been updated, but I’m unqualified to update the Wordpress theme at this point. I would gladly take suggestions on what should be done with it.
The HTML5 Reset Wordpress theme is a blank theme based on the HTML5 Reset templates. It’s a great empty slate upon which to build your own HTML5-based Wordpress themes.
In addition to all the standard Wordpress elements and classes, we have added the code required so that the single post template conforms with the hNews microformat.


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DebuggerNextCommand Class
Definition at line
234
of
Debugger.hpp
Constructors
DebuggerNextCommand
()
Member Functions
DebuggerCommand
*
Clone
()
override
void
Execute
(
Debugger
& debugger)
override
bool
IsRunningCommand
(
GdbDriver
& driver)
const override
Constructor Details
DebuggerNextCommand Constructor
cmajor::debug::DebuggerNextCommand::DebuggerNextCommand()
Definition at line
2348
of
Debugger.cpp
:
2348
:
DebuggerCommand
(
Kind
::
next
)
2349
{
2350
}
Declaration at line
237
of
Debugger.hpp
Member Function Details
Clone Member Function
DebuggerCommand
* cmajor::debug::DebuggerNextCommand::Clone()
override
Definition at line
2357
of
Debugger.cpp
:
2358
{
2359
return
new
DebuggerNextCommand
(
)
;
2360
}
Declaration at line
240
of
Debugger.hpp
Base class overridden functions:
cmajor::debug::DebuggerCommand::Clone
Execute Member Function
void
cmajor::debug::DebuggerNextCommand::Execute(
Debugger
& debugger)
override
Definition at line
2352
of
Debugger.cpp
:
2353
{
2354
debugger
.
Next
(
)
;
2355
}
Declaration at line
239
of
Debugger.hpp
Base class overridden functions:
cmajor::debug::DebuggerCommand::Execute
Calls:
cmajor::debug::Debugger::Next
IsRunningCommand Member Function
bool
cmajor::debug::DebuggerNextCommand::IsRunningCommand(
GdbDriver
& driver)
const override
Definition at line
238
of
Debugger.hpp
:
238
{
return
true
;
}
Base class overridden functions:
cmajor::debug::DebuggerCommand::IsRunningCommand
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Elegant terminal spinner
$ npm install --save ora
```js const ora = require(‘ora’);
const spinner = ora(‘Loading unicorns’).start();
setTimeout(() => { spinner.color = ‘yellow’; spinner.text = ‘Loading rainbows’; }, 1000); ```
It will gracefully not do anything when there’s no TTY or when in a CI.
If a string is provided, it is treated as a shortcut for options.text
.
Type: Object
Type: string
Text to display after the spinner.
Type: string
Object
Default: dots
Name of one of the provided spinners. See example.js
in this repo if you want to test out different spinners.
Or an object like:
js
{
interval: 80, // optional
frames: ['-', '+', '-']
}
Type: string
Default: cyan
Values: black
red
green
yellow
blue
magenta
cyan
white
gray
Color of the spinner.
Type: number
Default: Provided by the spinner or 100
Interval between each frame.
Spinners provide their own recommended interval, so you don’t really need to specify this.
Type: WritableStream
Default: process.stderr
Stream to write the output.
You could for example set this to process.stdout
instead.
Type: boolean
Force enable/disable the spinner. If not specified, the spinner will be enabled if the stream
is being run inside a TTY context (not spawned or piped) and/or not in a CI environment.
Start the spinner. Returns the instance. Set the current text if text
is provided.
Stop and clear the spinner. Returns the instance.
Stop the spinner, change it to a green ✔
and persist the current text, or text
if provided. Returns the instance. See the GIF below.
Stop the spinner, change it to a red ✖
and persist the current text, or text
if provided. Returns the instance. See the GIF below.
Stop the spinner, change it to a yellow ⚠
and persist the current text, or text
if provided. Returns the instance.
Stop the spinner, change it to a blue ℹ
and persist the current text, or text
if provided. Returns the instance.
Stop the spinner and change the symbol or text. Returns the instance. See the GIF below.
Type: Object
Type: string
Default: ' '
Symbol to replace the spinner with.
Type: string
Default: Current text
Text to be persisted.
Clear the spinner. Returns the instance.
Manually render a new frame. Returns the instance.
Get a new frame.
Change the text.
Change the spinner color.
Starts a spinner for a promise. The spinner is stopped with .succeed()
if the promise fulfills or with .fail()
if it rejects. Returns the spinner instance.
Type: Promise
MIT © Sindre Sorhus


Picking Sample
This sample shows how to determine whether a player's cursor is over an object, and how to find out where on the screen an object is.Sample Overview
There are several situations where it can be useful to know the 3D equivalent of a point on the screen, and vice versa: for example, checking to see whether a player has clicked on an object, or drawing text above a player's head. This can be accomplished by using the Project and Unproject methods on the Viewport class. This sample demonstrates the use of these methods.
In the sample, there is a table with several objects on it. If the user moves the cursor over an object, the object's name is drawn.
Sample Controls
This sample uses the following keyboard and gamepad controls.
| Action | Windows Phone | Windows | Windows/Xbox Gamepad |
|---|---|---|---|
| Move the cursor. | TAP or DRAG screen | Mouse | Left thumbstick |
| Exit the game. | BACK | ESC or ALT+F4 | BACK |
How the Sample Works
This sample shows how to determine whether a user's cursor is over an object, and how to find out where on the screen an object is. To do this, the sample uses Viewport.Project and Unproject to go between screen space and world space. What are world and screen space?
World space is a simply the coordinate system that your 3D game objects live in. When you move a 3D object from (0,0,0) to (0,0,1), you are changing its position in world space.
Screen space is a coordinate space that closely relates to your game's window, and corresponds to pixels. For example, in this sample, the screen space goes from (0,0) at the upper left of the game window to (853,480) at the lower right of the window. Most 2D games use screen space coordinates.
The Viewport.Project function takes a world space point and tell you where that point will be drawn on the screen. Viewport.Unproject has the opposite effect. It takes a screen space point, and returns a point in world space.
So, now that you understand what world space and screen space are, and how the Project and Unproject functions can convert between them, how can you use that information to tell whether the user's cursor is over an object? If the cursor is in 2D screen space, how can that "intersect" a 3D world space object?
To perform that intersection check, the sample uses Viewport.Unproject to convert two screen space points into world space. The first point is the cursor's position, with a z-value of zero: as close as possible to the camera. The second point is the same thing but with a z-value of one: as far away from the camera as possible. Using those two points, you can create a ray, and then check to see whether world space objects intersect that ray.
The ray is checked against the models' bounding spheres, so the result will not be pixel perfect. However, in many cases, this approach will be "good enough."
Going Beyond
It is possible that the ray could intersect multiple models at once. Try to change the code so that only the closest intersection is reported as an intersection. To do this, you'll have to change the RayIntersectsModel function to keep track of the closest collision. You can determine the closest collision by using the result of BoundingSphere.Intersects(Ray) function.


Salmon Cookies
Salamon Cookies is a world wide baker franchise that makes cookies in the shape of salmon for us sea food and cookie lovers is the dream.
Cookie
Cookie cutter
salmon inspiration
See cookies sales Data
Salamon Cookies is a world wide baker franchise that makes cookies in the shape of salmon for us sea food and cookie lovers is the dream.
Cookie
Cookie cutter
salmon inspiration


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import models.viewModels.ReturnDeadlineViewModel @import views.html.templates.formatters.dates._ @this(mainTemplate: MainTemplate, govukBreadcrumbs: GovukBreadcrumbs, displayDate: DisplayDate, displayDateRange: DisplayDateRange, govukDetails: GovukDetails, govukBackLink: GovukBackLink, govukTag: GovukTag) @(deadlines: Seq[ReturnDeadlineViewModel], serviceInfoContent: Html, clientName: Option[String])( implicit request: Request[_],messages: Messages, appConfig: config.AppConfig, user: User) @govukDetailsHtml = {
@displayDate(deadline.due)
@if(deadline.overdue) { @govukTag(Tag( content = Text(messages("common.overdue")), classes = "govuk-tag--red" )) }@if(deadline.isFinalReturn) { @messages("returnDeadlines.finalReturn") } else { @messages("returnDeadlines.periodEnding", displayDateRange(deadline.periodFrom, deadline.periodTo)) }


|
Allegro Animations
1.0
Simple animations made using Allegro graphics library
|
represents a triangle that falls from the top of the display to the bottom More...
#include <Triangle.h>
Public Member Functions | |
| Triangle (int x, int y) | |
| Construct a new Triangle object. More... | |
| void | draw () |
| draws the triangle object to the display, if out of bounds returns to the top | |
| void | update (double dt) |
| Updates the triangle's position over time, i.e. \(pt = pt + crtSpeed * dt\). More... | |
represents a triangle that falls from the top of the display to the bottom
Definition at line 29 of file Triangle.h.
|
inline |
Construct a new Triangle object.
| x | Initial x-coordinate for the Triangle object. |
| y | Initial y-coordinate for the Triangle object. |
Definition at line 57 of file Triangle.h.
|
inlinevirtual |
Updates the triangle's position over time, i.e. \(pt = pt + crtSpeed * dt\).
| dt | Change in time, in seconds, since last update. |
Implements Updateable.
Definition at line 80 of file Triangle.h.


{{#markdown}}
The basic data table can be implemented by adding two classes to the table
tag: .small
and .data-table
. A third tag that might be useful is .no-stripe
to remove the zebra striping.
Alternativley to adding .data-table
there are a range of utility classes that can be used to assemble the desired look and feel:
- Smaller text: add a .small
to the table tag, or any tr or td.
- Disable tables from going 100% wide: add a .width-auto
to the table tag.
- Align text to top: add .align-top
to the table tag or a td.
- Remove striping: add .no-stripe
to the table tag.
- Change padding: add either of these classes to the table tage or td, .padding-none
.padding-small
.
- Allow images to be stretched out of proportion: add .stretch
to the image.
Consider this sample table from ChEMBL which we have done with `table.small.data-table.no-stripe`:


A better sport behaviour with IoT
Memory Loss & Forgetfulness are common
Maybe forget how to sport
Do wrong when do sport
Improve speed and coordination
Improve eye-hand coodination
Improve brain memory
Small computer
Signal range
Measuring proximity
More at http://developer.estimote.com/
Store user record
Send Data to M2X Server
Real Time Monitoring
Big Data
Decrease prevalence risk
Improve parent relationship
Enrich their life
Get the statistic from elderly record
The use of the Beacon
Saving government medical expenses
Corporate social responsibility
Suit for different group of user


Fits the Multivariate Cluster Elastic Net (MCEN) presented in Price & Sherwood (2018) <arXiv:1707.03530>. The MCEN model simultaneously estimates regression coefficients and a clustering of the responses for a multivariate response model. Currently accommodates the Gaussian and binomial likelihood.
| Version: | 1.0 |
| Depends: | R (≥ 3.0.0), glmnet, flexclust, Matrix, parallel, faraway, methods, stats |
| Published: | 2018-06-15 |
| Author: | Ben Sherwood [aut, cre], Brad Price [aut] |
| Maintainer: | Ben Sherwood <ben.sherwood at ku.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | mcen results |
| Reference manual: | mcen.pdf |
| Package source: | mcen_1.0.tar.gz |
| Windows binaries: | r-devel: mcen_1.0.zip, r-release: mcen_1.0.zip, r-oldrel: mcen_1.0.zip |
| OS X binaries: | r-release: mcen_1.0.tgz, r-oldrel: mcen_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=mcen to link to this page.


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| Sean Homes, 3500 Dufferin St., Suite 505 Toronto ON M3K 1N2 Canada Price & specifications are subject to change without notice. E.&O.E. |


THE NEXT BEST THING A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): *
John Schlesinger's THE NEXT BEST THING, starring Rupert Everett and Madonna, goes all the way from being a light-hearted comedy to a tragic tear-jerker. But, since none of the sentiments ever seem genuine, the film is never funny or moving. Our audience stared silently at the picture with all of the emotional outpouring of someone who had mistakenly walked into the funeral of a stranger.
Madonna plays Abbie, a beautiful Yoga instructor whose biological clock is running out. Convinced that she'll never find Mr. Right, she decides that she'd like to have a child with her best buddy, Robert (Everett), who is a gay gardener. The cliché-ridden script reinforces her notion of hopelessness by having her proclaim that all of the men in LA are gay.
Among the film's many annoying aspects is the lighting. Like the halo that follows an angel, the center of Madonna's face is constantly bathed in the warm glow from a spotlight. This gives the movie the feel of one long photo shoot and reinforces its lack of reality.
In the story's middle act, we witness the world's most perfect family, as Robert and Abbie take care of their 6-year-old son, Sam (Malcolm Stumpf). Sam is the most plastic of all of the characters. He's perfectly happy, healthy and unaffected, even when the adults around him scream and threaten awful things. Even in the morose last act, Sam's negative emotions are AWOL.
The mean-spirited and ugly concluding segment tries hard to be KRAMER VS. KRAMER, except that it can't. The characters in that film were genuine.
"You're embarrassed, aren't you?" Abbie asks Robert at one point. "Embarrassment is the understatement of the year," he replies. One hopes and suspects that that is exactly how Madonna and Rupert Everett feel for foisting this travesty upon their fans.
THE NEXT BEST THING runs 1:45. It is rated PG-13 for mature thematic elements, sexual content, partial nudity and language and would be acceptable for teenagers.
Email<EMAIL_ADDRESS>Web: http://www.InternetReviews.com
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% extends "base.html" %} {% block title %} About {% endblock%} {% block brand %} About {% endblock brand %} {% block content %} {{ super() }}
A website designed by students for students. It offers various functionalities, including a user friendly catalog, a catalog search, and course reviews.
The catalog search tool allow students to search for courses according to department, title keyword, and most importantly, general education fulfillment. This allows the student to find the courses they need to take easily and quickly, while at the same time showing them classes they never would have known existed! For example, who would have known you could satisfy your Natural World Non-Lab requirement with CLAS 310: Ancient Sciences? This functionality will open a whole new world of classes to students.
The catalog offers a user friendly interface for students to navigate the all of the classes offered on a regular basis by Luther College. Separated by department, students can easily view each course offered by a certain department.
NorseCourse provides a unique functionality in that it lets students submit alternative descriptions for courses they have already taken. Sometimes the official descriptions are somewhat lacking, or even misleading. Students can offer advice to each other about what the course is really like. The descriptions will be monitored and removed if deemed inappropriate or offensive.
If you are interested in using some of the functionality we have implemented here for your own web applications, you can find details on how to use our custom built API here.
NorseCourse was originally developed by Michael Moore ('16) and John Doorenbos ('16), both computer science majors at Luther College, as a final project for an Internet Programming class. The application is still being maintained and actively developed. If you have any questions, comments, or ideas for future development you'd like to share, shoot an email to<EMAIL_ADDRESS>or check out our Github repository.


Priyanka Chopra, Nick Jonas spend $20 million on a new home
by Entertainment DeskBollywood star Priyanka Chopra and her Jonas Brother husband Nick Jonas are living it up in the real estate market as they buy their luxurious home together.
The star duo reportedly shelled out $20 million for a 20,000-square-foot property in Los Angeles, confirmed The Wall Street Journal. And it seems like it runs in the family. Nick’s brother and band mate Joe and his Game of Thrones star wife Sophie Turner spent $14.1 million for a 15,000-square-foot home just three miles away.
The Jonas Brothers are reportedly breaking real estate records in Encino, having spent a combined $34.1 million in the Los Angeles neighbourhood.
According to the report, Priyanka and Nick’s modern home has seven bedrooms, 11 bathrooms, high ceilings, and ample outdoor space. And even though Sophie and Joe’s home is smaller, it has 10 bedrooms and 14 bathrooms.
In August, it was reported that Nick had sold his bachelor pad and was looking for a new home to share with Priyanka. The couple tied the knot in December, 2018. The report said that Nick is worth a reported $25 million, and Priyanka reportedly comes in a little higher, at $28 million.
Priyanka had spoken about wanting to get a new home in a September interview to Vogue. “Buying a home and having a baby are on my to-do list,” she said, later adding, “For me, home is wherever I’m happy, as long as I have the people I love around me.”
Speaking about her future plans with Nick, the star had told People, “In 10 years, I definitely want to have kids. That is, it’s going to happen in the next 10 years. Well, hopefully earlier than that. I’m very fond of children and I want to be able to do that.”
Priyanka made her Bollywood comeback with The Sky Is Pink, co-starring Farhan Akhtar. She will also be seen in the upcoming Robert Rodriguez feature We Can Be Heroes, and will also star as the lead in the adaptation of the Man Booker-winning novel The White Tiger, for Netflix, alongside Rajkummar Rao. Meanwhile, Nick is touring with his band mates.


Have your say about before and after school care
About your care
The vacation care you need
When will you need vacaton care?
The before and after school care you need
- Days required
- Startin when
- Hour extension question
- if so what hours
The before and after school care you currently have
- School name
- Current days


Neelkanth Mahadev Temple is a Hindu temple dedicated to Nilkanth, an aspect of Shiva. The temple is situated at a height of 1330 meters and is located about 32 km from Rishikesh in the Pauri Garhwal district of Uttarakhand.
The temple is one of the most revered holy shrines dedicated to Lord Shiva and is a prominent Hindu pilgrimage site. It is surrounded by dense forests and is adjacent to the mountain ranges of Nar-Narayan. It is enveloped between the valleys of Manikoot, Brahmakoot and Vishnukoot and is located at the confluence of the rivers Pankaja and Madhumati.Neelkanth Mahadev Temple is a Hindu temple dedicated to Nilkanth, an aspect of Shiva. The temple is situated at a height of 1330 meters.
The devotees who pay a visit to Neelkanth Mahadev make an offering of Bael leaves, coconut, flowers, milk, honey, fruits and water to the Lord Shiva. The temple observes two fairs that are held annually on the occasions of Maha Shivratri (Feb-Mar) and Shivratri of Shraavana (month of Hindu calendar) (July-Aug) during which the devotees (Kawarias) trek from Haridwar to Neelkanth Mahadev Temple.


Am a programmer 5 years experience. Currently developing the next biggest and most successful e commerce system
©2021.all rights reserved.winrose weru


SHE'S GOTTA HAVE IT A film review by Andrew Hicks Copyright 1996 Andrew Hicks / Fatboy Productions
**1/2
"What exactly does the 'it' refer to?" my mom asked in an accusatory tone when I brought the SHE'S GOTTA HAVE IT video home. "Commitment," I replied, to get her off my back, but that couldn't be further from the truth. The 'it' in SHE'S GOTTA HAVE IT is S-E-X, a topic Spike Lee usually puts on the back burner in favor of his usual favorite topic: race. But in his debut film, directed with labored shots in artsy black-and-white (and one brief color sequence), race is a barely-mentioned factor in a story of relationships. Of course there are no white people in the movie -- you know if Lee could have possibly been able to film the movie in just black instead of black-and-white to make a metaphorical point, he would have.
Nona Darling (a made-up name if I've ever heard one) is a successful woman in her 20's who is juggling purely physical relationships with three men who want more. There's average working man Jamie, rich conceited oreo Greer and immature pint-sized Mars (Lee himself, naturally). She sees them as parts of one big, well-rounded man and doesn't want to choose between them or settle down with any one of them. In her words, she's got a job and an apartment and doesn't want someone leeching off of her, little Mars in particular because, as Dr. Ruth has pointed out, one can never have a fully satisying relationship with anyone named after a planet (sorry, Jupiter).
SHE'S GOTTA HAVE IT isn't like most other Spike Lee films. Besides the absence of white (people) and color (film), nearly all the characters are likeable (except Greer, who actually uses the phrase, "The minute you get fat, I'm leaving you"), even Nona's friend Opal, one of those devastatingly beautiful Hollywood lesbians who tries to pull all of their friends into the web of experimentation. That storyline is never resolved, but then neither is the overall one, which keeps in the tradition of a woman who wants the bellboy but doesn't want him carrying any emotional baggage.
Overall, there's not too much meaning in the movie and it's about as believable as the Ace of Base "All that she wants is another baby" song. We know 95% of men in the world would jump at the chance to get the sex without the commitment, but what percentage of women out there would want a similar arrangement? And how many of those would actually want to see Spike Lee pantsless? I guess it's all part of the Hollywood lesbians believability package.
--
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In this blog I will be drawing some network connectivity graphs by first collecting user mentions from Twitter then turning them into nodes and graphing using NetworkX. First I will be getting the tweets from my first blog first post
to and then filter out the top 20 mentions of other users then go to their account and grab their top 20 mentions of other users and so on. Then I graph these connections and look at the overall picture. In network visualization you can see how interconnected and “central” a user is as an indicator of the person’s social influence. There are lots of other types of things you can infer from network graphs for instance graphing “fake” spam Twitter accounts controlled by the same entity usually shows little interconnectivity. Trends emerge for people that use their account for promoting business, personal use, marketing porn sites and many more.
Once you run this you will have a list of top mentions and their frequency. The function also makes this graph:
Now you just have to make another function to get the same thing for every user on this list.
We have taken ~40k tweets and created a concise list of who is talking about who in this network that is centered around one user. Pretty crazy right? Now we use NetworkX to graph the data.
For the next Blog we will be looking at t-SNE clustering of Tweets!


In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir
to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
show_n_images = 20
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images
.
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputs
discriminator
generator
model_loss
model_opt
train
This will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
Implement the model_inputs
function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width
, image_height
, and image_channels
.z_dim
.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
inputs_real = tf.placeholder(tf.float32, (None, image_width, image_height, image_channels), name='inputs_real')
inputs_z = tf.placeholder(tf.float32, (None, z_dim), name='inputs_z')
learning_rate = tf.placeholder(tf.float32, name='learning_rate')
return inputs_real, inputs_z, learning_rate
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Implement discriminator
to create a discriminator neural network that discriminates on images
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).
def discriminator(images, reuse=False):
"""
Create the discriminator network
:param images: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
alpha = 0.1
with tf.variable_scope("discriminator", reuse=reuse):
# Input 28x28x3
conv1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same')
conv1 = tf.maximum(alpha * conv1, conv1)
conv2 = tf.layers.conv2d(conv1, 128, 5, strides=2, padding='same')
conv2 = tf.layers.batch_normalization(conv2, training=True)
conv2 = tf.maximum(alpha * conv2, conv2)
conv3 = tf.layers.conv2d(conv2, 256, 5, strides=2, padding='same')
conv3 = tf.layers.batch_normalization(conv3, training=True)
conv3 = tf.maximum(alpha * conv3, conv3)
flat = tf.reshape(conv3, (-1, 4*4*256))
logits = tf.layers.dense(flat, 1)
out = tf.sigmoid(logits)
return out, logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Implement generator
to generate an image using z
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim
images.
def generator(z, out_channel_dim, is_train=True):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
# TODO: Implement Function
alpha = 0.1
with tf.variable_scope("generator", reuse=not is_train):
x = tf.layers.dense(z, 7*7*512)
x = tf.reshape(x, (-1, 7, 7, 512))
x = tf.layers.batch_normalization(x, training=is_train)
x = tf.maximum(alpha * x, x)
# 7x7x512
conv1 = tf.layers.conv2d_transpose(x, 256, 5, strides=1, padding="same")
conv1 = tf.layers.batch_normalization(conv1, training=is_train)
conv1 = tf.maximum(alpha * conv1, conv1)
# 14x14x256
conv2 = tf.layers.conv2d_transpose(conv1, 128, 5, strides=2, padding="same")
conv2 = tf.layers.batch_normalization(conv2, training=is_train)
conv2 = tf.maximum(alpha * conv2, conv2)
# 28x28x128
logits = tf.layers.conv2d_transpose(conv2, out_channel_dim, 5, strides=2, padding="same")
out = tf.tanh(logits)
return out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Implement model_loss
to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)
generator(z, out_channel_dim, is_train=True)
def model_loss(input_real, input_z, out_channel_dim):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
# TODO: Implement Function
smooth = 0.1
g_model = generator(input_z, out_channel_dim)
d_model_real, d_logits_real = discriminator(input_real)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
d_loss_real = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)*(1-smooth)))
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))
d_loss = d_loss_real + d_loss_fake
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Implement model_opt
to create the optimization operations for the GANs. Use tf.trainable_variables
to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
t_vars = tf.trainable_variables()
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
g_vars = [var for var in t_vars if var.name.startswith('generator')]
# Optimize
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)
return d_train_opt, g_train_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train
to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)
model_loss(input_real, input_z, out_channel_dim)
model_opt(d_loss, g_loss, learning_rate, beta1)
Use the show_generator_output
to show generator
output while you train. Running show_generator_output
for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator
output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate_, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# TODO: Build Model
#sample_z = np.random.uniform(-1, 1, size=(72, z_dim))
samples, losses = [], []
steps = 0
print_every = 20
show_every = 80
_, image_width, image_height, image_channels = data_shape
inputs_real, inputs_z, learning_rate = model_inputs(image_width, image_height, image_channels, z_dim)
d_loss, g_loss = model_loss(inputs_real, inputs_z, image_channels)
d_opt, g_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
for batch_images in get_batches(batch_size):
# TODO: Train Model
steps += 1
batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
batch_images = batch_images * 2
# Run optimizers
_ = sess.run(d_opt, feed_dict={learning_rate: learning_rate_, inputs_real: batch_images, inputs_z: batch_z})
_ = sess.run(g_opt, feed_dict={learning_rate: learning_rate_, inputs_real: batch_images, inputs_z: batch_z})
if steps % print_every == 0:
# At the end of each epoch, get the losses and print them out
train_loss_d = d_loss.eval({inputs_real: batch_images, inputs_z: batch_z})
train_loss_g = g_loss.eval({inputs_real: batch_images, inputs_z: batch_z})
print("Epoch {}/{}...".format(epoch_i+1, epochs),
"Discriminator Loss: {:.4f}...".format(train_loss_d),
"Generator Loss: {:.4f}".format(train_loss_g))
# Save losses to view after training
losses.append((train_loss_d, train_loss_g))
if steps % show_every == 0:
show_generator_output(sess, 25, inputs_z, image_channels, data_image_mode)
#gen_samples = sess.run(
# generator(inputs_z, 3, is_train=False),
# feed_dict={input_z: sample_z})
#samples.append(gen_samples)
#_ = view_samples(-1, samples, 6, 12, figsize=figsize)
#plt.show()
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 64
z_dim = 100
learning_rate = 0.0002
beta1 = 0.5
#Epoch 2/2... Discriminator Loss: 0.4178...  It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 64
z_dim = 100
learning_rate = 0.0002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.


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This block symbolises numeric variables.
It is used as a value in the
compare
and the mathematical operator,
in the "IF" and "IF NULL" of the
otherfunction,
in numberfunctions
and in the "LIMIT" clause.
The default value of this variable is 0.
As you see in the picture on the right, this block has an included text field, where you can change the value.
Notice that, if you want the value to be decimal, you need a '.' as seperator not ','.
If you want a negative number just add an '-' in the text field.
If ther is something wrong with your value, like it's not numeric, it's emtpy or you are using the wrong seperator, the text field will change the colour to red. This is shown in the picture to the left.


|
WUT Velma robot API
|
This package provides python interface to WUT Velma Robot, python scripts and ROS launch files:
rosrun octomap_server octomap_saver
octomap_server.launch - runs the following nodes:
arguments:
true
if real HW kinect is used, false
for simulated kinecttrue
or false
: enable or disable kinect simulation


Version Check:
CSources2:
Sileo Support
Compatibility:
All Devices.
9.3.3 ->
checkRa1n, Chimera, Electra, with Sileo
-
Package needed to enable (Push To Sileo) in CSources2.
In this version:
Reporting Bugs:
Donate:
Version Check:
Package needed to enable (Push To Sileo) in CSources2.


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WAKING UP IN RENO
Reviewed by Harvey Karten Miramax Films Director: Jordan Brady Writer: Brent Briscoe, Mark Fauser Cast: Natasha Richardson, Patrick Swayze, Charlize Theron, Billy Bob Thornton
If you and your spouse wanted to go on vacation for a couple of weeks, say, a drive to Reno or Vegas, how would you want to go...just the two of you? Go with an escorted tour? Pick up your best buddies, the couple you hang out with regularly? Probably that last option would be ideal. How could you miss? You all get along, you have others to talk to and kid around with during the drive of several days (if you choose to go by land). But there's a danger in that. If two people become irritated with each other that one's thing.  Roy (Patrick Swayze) and Candy (Charlize Theron) found that out when they hooked up with the favorite buddies Lonnie Earl (Billy Bob Thornton) and Darlene (Natasha Richardson), picking up a brand new SUV and heading from their home town outside Little Rock, Arkansas for Reno, the Greatest Little City in the World. They're armed with an AAA triptik, to which we in the audience are made privy as director Jordan Brady from time to time flashes a cute area map onto the screen and we follow the bouncing vehicle on its way out west.
What makes the journey fraught with extra peril is that Lonnie Earl is enjoying an affair with Roy's wife, Darlene; well actually just two tosses in the hay if we are to believe his confession later on. Why did Lonnie Earl find it necessary to take up with his best friend's wife? If we believe his side of the story--which we might depending on our interpretation of the four-way relationship-- Lonnie Earl's wife Darlene is not particularly the giving kind. She comes across as fairly cold, whining occasionally, and judging by the flamboyant way that Candy jumps into the motel pool followed by Darlene's tentative steps into the water, I'm inclined to support that view.
"Waking up in Reno," which is so named because in that city the four people are stirred out of their lethargy to reconsider their relationships with one another, is a slight affair so to speak, an inconsequential road-and-buddy romantic comedy which purports to show that you don't always need a marriage counselor to learn where change is necessary. Just lock yourslef up, in effect, with another couple for a week or so on what is billed as a carefree vacation and watch the sparks fly. One of the problems with Brent Briscoe's and Mark Fauser's story is its cop-out ending, a finale which not even a TV soap would stoop to use. The ubiquitous Charlize Theron (whom I saw on the screen just last night at a screening of "The Curse of the Jade Scorpion"), looks ravishing (as though one needs to say this) while Patrick Swayze gets a role that's so underplayed he appears generic. Natasha Richardson spends too much time looking literally like a farmer in Reno with Levi's type overalls while Billy Bob Thornton has been known to appear in more challenging roles.a
Rated R. Running time: 90 minutes. (C) 2001 by Harvey Karten<EMAIL_ADDRESS>========== X-RAMR-ID: 29475 X-Language: en X-RT-ReviewID: 242804 X-RT-TitleID: 1109591 X-RT-SourceID: 570 X-RT-AuthorID: 1123
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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--- layout: post title: bubble bursting version numbers date: 2007-02-21 01:13:02.000000000 +01:00 type: post published: true status: publish categories: - coding - OpenSource - 'understanding: IT' tags: [] meta: _publicize_job_id: '14401149865' original_post_id: '103' _wp_old_slug: '103' author: login: joesixpack email<EMAIL_ADDRESS>display_name: dirk lüsebrink first_name: '' last_name: '' ---
With all due respect,
New versioning, 0.12.2 —> 2.2.0:
is the most ridiculous version number jump i have seen i a while. Yahoo just released a new version of their Yahoo! UI Library and pull this little marketing trick.
This is even more extreme than in the good old new economy times when marketing geniuses where pushing their fail-ups towards their IPOs.
Don't get me wrong, YUI is a fine piece of work and the yuiblog a delighting source of inspiration. But no marketing blah-blah whatsoever will make me understand the reasoning behind going from below 1.0 to 2.2 in a single step. Get real, start at 1 please.
cheers
Technorati Tags: yui, yahoo, javascript, gui, library


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- If you are immediate family member of a martyr from the Republic of India, you entitle for special
discounted pricing. Please contact us at<EMAIL_ADDRESS>to
avail it.
- You cannot use the product or service in any other way than intended.
- ClayFish reserves the rights to the code, application and its marketing. You are not entitled to the
updates, if not covered in a separate agreement.
- ClayFish Technologies reserves the rights to refuse service or product and/or continuation of the
service without
giving any reason.
- The software provided by ClayFish MUST not be used in warfare, weaponry, nuclear arsenal or in any other
destructive activity. User is also prohibited to use it for the development of missiles, fighter planes,
nuclear submarines, nuclear reactors or any kind of military use.
- Any terms specific to the application you are using are also applicable over and above the terms
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Please see Privacy Policy before using any of our apps, including this
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By continuing use of any of our apps, including this website, you agree to the terms and conditions mentioned
above. We hope to have a long time relationship with our users.


"10/10 pretty cool dude" -Dereks mom
I am a delighted, thrilled, happy Deep Dive Student with zero background in coding, although I have excelled at coding research thus far. My background has largely been related to excellent customer service and a strong work ethic.
I tend to fill my free time cooking delicious Hello Fresh meals and refurbishing old damaged gameboys.
THE NEXT


|
Character Action
Example of a character with actions
|
a way not to the distance but hook up to the extra movements? More...
Public Attributes | |
| PlayerInstanceCC | Instance |
| int | PreviewIndex = 0 |
| KeyCode | PreviewKey = KeyCode.F1 |
a way not to the distance but hook up to the extra movements?


fastCGI load test
This site fires a lot of ajax requests to the fastcgi back end. Watch the response times!


Leaflet.Control.NestedLayers
Leaflet.Control.NestedLayers
is a plugin for Leaflet similar to the native L.control.layers
control, except that unlike the native control, NestedLayers
permits a hierarchial structure to overlay layers. Written in ES6, it uses the ES6 class syntatic sugar instead of Leaflet's own class framework. It transpiles code down via babel (dist/index.js
) and also includes a ready-to-use bundle via webpack (demo/bundle.js
).
(TODO: BRIEF DEMO)
Installation
Usage
See some of the examples in demo/
!
As a Package
If you use ES6 or higher, you can import exactly what you need for use in your own package with ES6 syntax:
import { NestedLayers } from 'Leaflet.Control.NestedLayers'
If you use ES5 or lower with a module loader like Browserify, rollup.js, or webpack, you can do exactly the same thing with your module loader of choice. A pre-built bundle is available via demo/bundle.js
.
As a Plugin
If you want to use this package like most other Leaflet plugins (i.e. directly in the browser, maybe as a <script>
tag), you can include the bundle.js
on your page:
<script src="./node_modules/Leaflet.Control.NestedLayers/demo/bundle.js"></script>
Contributing
NestedLayers
includes a transpilation build system via babel, a bundler build system webpack, unit tests via mocha and chai, coverage reporting via istanbul and nyc, syntax/style linter via eslint, and API documentation generator via ESDoc.
Quick start:
# Clone the repo
$ git clone git@bitbucket.org:worldviewsolutions/leaflet.control.nestedlayers.git
# Install all dependencies
$ npm install
# Compile, run tests, and lint in real-time
$ npm start
# Start development :)
Script Tasks
During development, it's recommended to use the main watch
task (which is aliased to npm start
), which will enable real-time transpilation, bundling, and documentation generation. These processes run in parallel together; if one "fails" at any point, the others will continue. If you'd like to also add real-time linting and testing, use watch:all
.
# Transplile, bundle, and serve docs
$ npm start
# or
$ npm run watch
# Also test and lint
$ npm run watch:all
If you like to have multiple consoles open, you can keep the build process chugging in one console with npm start
, and in two other consoles watch the linter and test with npm run lint:watch
and npm run test:watch
.
Building and Transpiling
# Rebuild everything
$ npm run build
# Transpile via babel
$ npm run compile
# Bundle via webpack
$ npm run pack
# Watch versions are also available
$ npm run compile:watch
$ npm run pack:watch
Testing, Coverage, and Linting
The npm test
script will lint, run tests, and check code coverage. It's the best way to verify that all the code works short of actually transpling/bundling it.
$ npm test
# Unit tests with code coverage
$ npm run coverage
# Just unit tests
$ npm run test:once
$ npm run test:watch
# Linting scripts
$ npm run lint
$ npm run lint:watch
# Only run the linter against your `.spec.js` test files:
$ npm run lint:tests
Docs
Inline ESDoc comments, which are very similar to JSDoc comments, can be used to generate HTML documentation. Generated documentation lives in /docs
and is created with esdoc
.
The linting scripts will throw errors if you are missing or have malformed inline docs. You can see a list of all valid tags that you can use in comment blocks. Since the project is written in ES6, there is support for much of the experimental ES6 features provided as a part of the ECMAScript proposal that Babel implements.
# Generate documentation in /docs
# This is also called when you npm run build
# View the docs at /docs/index.html
$ npm run docs
# Watch and re-compile changes to the docs
$ npm run docs:watch
# Docs served at http://localhost:4001/
Script Configurations
Gulp, the build system, can be configured in gulpfile.babel.js
.
Webpack, the bundler, can be configured in webpack.config.js
.
Babel, the transpiler used by both Gulp and Webpack, has duplicated configurations in gulpfile.babel.js
and webpack.config.js
.
ESLint, the linter, can be configured in .eslintrc.json
.
Mocha, the test runner, can be configured in test\mocha.conf.js
; command-line arguments always passed to Mocha are configured in test\mocha.opts
.
ESDoc, the documentation generator, can be configured in .esdoc.json
.
Other, maybe obvious, configuration files:
package.json
.gitignore
.gitattributes
.editorconfig
- Note that as of 7/24/2017
.babelrc
is not in use
Author
Colby Rogness


5 references to PerformanceCounterSample
Microsoft.PowerShell.Commands.Diagnostics (5)
CounterSample.cs (2)
77
PerformanceCounterSample
[] counterSamples,
90
public
PerformanceCounterSample
[] CounterSamples { get; set; }
GetCounterCommand.cs (1)
613
foreach (
PerformanceCounterSample
sample in set.CounterSamples)
PdhHelper.cs (2)
1174
PerformanceCounterSample
[] samplesArr = new
PerformanceCounterSample
[_consumerPathToHandleAndInstanceMap.Count];


TechSales Corporation
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi vel orci in.
Find all restaurants available in your zone.
Find all restaurants available in your zone.
Find all restaurants available in your zone.
Find all restaurants available in your zone.


Let's Play
It will count up to your input but the following exceptions:
- This webpage will not accept any other characters ONLY NUMBERS.
- Number is divisible by 3 will be replaced with ping.
- Number is divisible by 5 will be replaced with pong.
- Number is divisible by 15 will be replaced with ping-pong.


Boston faces Florida, seeks to stop 3-game slide
by The Associated PressFlorida Panthers (8-4-5, fourth in the Atlantic Division) vs. Boston Bruins (11-3-3, first in the Atlantic Division)
Boston; Tuesday, 7 p.m. EST
BOTTOM LINE: Boston will try to break its three-game slide when the Bruins play Florida.
The Bruins are 5-2-3 in Eastern Conference games. Boston leads the league with 17 power-play goals, led by David Pastrnak with nine.
The Panthers are 2-1-1 against opponents from the Atlantic Division. Florida ranks fourth in the league averaging 6.2 assists per game, led by Aleksander Barkov Jr. with 1.0.
The matchup Tuesday is the first meeting of the season for the two teams.
TOP PERFORMERS: Pastrnak leads the Bruins with 15 goals, adding 15 assists and recording 30 points. Brad Marchand has collected 18 points over the last 10 games for Boston.
Brian Boyle leads the Panthers with a plus-4 in nine games played this season. Barkov has collected 16 points over the last 10 games for Florida.
LAST 10 GAMES: Panthers: 6-2-2, averaging 3.7 goals, 6.2 assists, 3.4 penalties and 8.5 penalty minutes while allowing 3.3 goals per game with a .887 save percentage.
Bruins: 6-2-2, averaging 4.1 goals, 6.3 assists, 4.3 penalties and 11.8 penalty minutes while giving up 2.7 goals per game with a .909 save percentage.
Bruins Injuries: Jake DeBrusk: day to day (lower body), Torey Krug: day to day (upper body), David Backes: day to day (upper body).
Panthers Injuries: Noel Acciari: day to day (lower body), Jayce Hawryluk: out (upper body).
___
The Associated Press created this story using technology provided by Data Skrive and data from Sportradar.


This tutorial walks you through creating a simple extension. You'll add an icon to Google Chrome that, when clicked, displays an automatically generated page. The icon and page will look something like this:
You can develop extensions using any release of Google Chrome, on Windows, Mac, or Linux.
In this section, you'll write an extension that adds a browser action to the toolbar of Google Chrome.
manifest.json
,
and put this in it:
{ "name": "My First Extension", "version": "1.0", "description": "The first extension that I made.", "browser_action": { "default_icon": "icon.png" }, "permissions": [ "http://api.flickr.com/" ] }
Download icon.png |
If your extension is valid, its icon appears next to the address bar, and information about the extension appears in the extensions page, as the following screenshot shows.
In this step, you'll make your extension do something besides just look good.
Edit manifest.json
to add the following line:
... "browser_action": { "default_icon": "icon.png", "popup": "popup.html" }, ...
Inside your extension's folder,
create a text file called popup.html
,
and add the following code to it:
CSS and JavaScript code for hello_world
popup.html
. It should look something like this:
If you don't see the popup, try the instructions again, following them exactly. Don't try loading an HTML file that isn't in the extension's folder — it won't work!
Here are some suggestions for what to read next:
If you don't feel like reading, try these:


| 09:30 - 10:00 |
Introduction |
| |
to the workshop and the 2nd open challenge on Question Answering over Linked Data (QALD-2) |
| |
|
| 10:00 - 10:30 |
Mathieu d’Aquin: |
| |
Putting Linked Data to Use in a Large Higher-Education Organisation [paper] |
| |
|
| 10:30 - 11:00 |
Coffee break |
| |
|
| 11:00 - 11:30 |
Josep Maria Brunetti, Rosa Gil Iranzo, Roberto Garcia: |
| |
Facets and Pivoting for Flexible and Usable Linked Data Exploration [paper] |
| |
|
| 11:30 - 12:00 |
Benedikt Kämpgen, Sean O’Riain, Andreas Harth: |
| |
Interacting with Statistical Linked Data via OLAP Operations [paper] |
| |
|
| 12:00 - 12:30 |
Basil Ell, Denny Vrandecic, Elena Simperl: |
| |
SPARTIQULATION – Verbalizing SPARQL queries [paper] |
| |
|
| 12:30 - 14:00 |
Lunch break |
| |
|
| 14:00 - 14:30 |
Khadija Elbedweihy, Stuart Wrigley, Fabio Ciravegna: |
| |
Improving Semantic Search using Query Logs Analysis [paper] |
| |
|
| 14:30 - 15:00 |
Matthias Wendt, Martin Gerlach, Holger Düwiger (neofonie) |
| |
Linguistic Modeling of Linked Open Data for Question Answering [paper] |
| |
|
15:00 - 15:30 |
Discussion |
| |
|
| 15:30 - 16:00 |
Coffee break |
| |
|
| 16:00 – 16:20 |
Demo: QAKiS [paper] |
| 16:20 – 16:40 |
Demo: Natural Language Query over DBpedia [paper] |
| 16:40 – 17:00 |
Demo: TypeCraft – Collaborative Databasing and Resource Sharing for Linguists [paper] |
| |
|


'Maybe it's an Aussie thing' - Andy Friend praises Connacht's Champions Cup resilience
by Shane HannonConnacht head coach Andy Friend was pleased with his side's resilience after they beat Montpellier 23-20 in their Heineken Champions Cup opener at the Sportsground this afternoon.
That makes it four wins out of four for the Irish provinces in the opening weekend, with Friend's side scoring tries via Paul Boyle, Tom McCartney and Caolin Blade.
22-year-old out-half Conor Fitzgerald came off the bench to score the winning penalty.
Connacht were forced into three changes in the hour before kick-off, with captain Jarrad Butler and backs Matt Healy and Niyi Adeolukun joining their injury list.
Friend told Galway Bay FM after the match that he was pleased with his side's efforts, given their tough run with injuries.
"Just before kick-off we went in and said there's another change, the captain's out...and you know what fellas, maybe it's an Aussie thing I don't know, but I reckon you get those challenges and I quite like them.
"You think, well everything's stacked against us now but let's go out and show what we've got, and we did. I'm really, really proud of the effort out there, especially after ninety seconds and you're down 7-0 and you're thinking 'this is interesting.'
"But we fought our way through it and managed to hold on in the end."
Friend also said he was very keen to get their European campaign up and running with a win, especially in Galway.
"I heard an interesting comment made, I watched all the games at the weekend. A commentator said if you lose your first game and it's at home, no-one has ever gotten to the quarter-finals.
"So I was very aware of that - we haven't lost our first game at home which is good, and we'll see what next week and the remainder of the competition brings."
There were a number of areas in which Connacht could improve according to Friend, as they prepare to face a trip to Toulouse next weekend.
"I thought we didn't adjust - anytime they got a breakdown in the fifteen-metre channel you could see them flooding that, and I didn't think we carried as hard as we needed to into some of those.
"I thought we weren't quick enough to adjust to that, so that was frustrating. The other frustrating thing - I thought we left opportunities out there in that first-half. As good as they started, we created opportunities and we just didn't take them.
"We talked at half-time about tempo...but that doesn't mean be loose and we didn't have composure when we needed it. At the death, in the last five minutes of the first-half, we got two scores which was good for us, but I thought the second-half...was much better.
"I thought it was very, very physical as we saw, they're very physical men but...we didn't stop, and managed to get three of four turnovers from the breakdown which was great."
Elsewhere today Northampton Saints beat Lyon 25-14 in Leinster's Pool One.
And Racing 92 beat defending champions Saracens 30-10 in Paris.
Everyone’s in the Team Of Us.
Vodafone. The Official Sponsor of the Irish Rugby Team.


--- layout: base title: Education subtitle: "Here you can see information about my studies, achievements and scientific works." use-site-title: true js: "/js/education.js" ---
Researcher in the Ph.D. in the direction of "Mathematical and software of computers, complexes and computer networks"
Study in the magistracy in the direction of "Information Security"
Four years studied at the university in the faculty of "Computer Engineering".
Three years he studied at the academic lyceum in the direction of "exact science".
Nine years of study in a secondary education school.


Edit Users
In this section you can add, modify or delete users for
your site.
To add a new user fill the form. The required fields are
marked with * like Nickname, Email and Password.
The other fields, Name, Fake Email and URL are optional.
Plase note that Email field is required to the password
functions in case the user lost the password. The field
Fake Email is the email address the system will show in
the user info page (visible by any visitor). When you
finished to fill the info just click on Add User
button to add the new user.
To edit an existing user just type the user's Nickname
in the field User ID, select Modify User and
click OK. This will open another page with that user's
data, just change what you need and click on Update User
button. If you need to change the user's password, just type
twite the new password.
To delete an existing user type the user's Nickname
in the field User ID, select Delete User and
click OK.