| Delivery | Rate | Delivery Period |
|---|---|---|
| Baguio City | Php 109.00 | 1-2 days *** |
| Outside Baguio City | Php 139.00 | 2-4 days *** |
Valid for domestic shipping via Xend.
***Based on delivery periods as published by Xend.
Please note that counting begins from ship out date.
Delivery periods are not guaranteed and exclude Sundays and Holidays.
Orders are shipped Monday through Friday, excluding Philippine public holidays. Any orders placed on Saturday or Sunday will be shipped the following week.
We only accept Cash on Delivery
All domestic shipments are handled by Xend courier.
**Provincial packages are forwarded to shipping partners such as 2Go, AP Cargo and Abest Express.
Tracking information is encoded from the time your package reaches Xend's warehouse. This may take up to 24 hours from the date of ship out. To track your package, simply go to their website: http://new.xend.com.ph/ and input the tracking code provided to you via email. You may also reach Xend through any of the following channels:
Tel no: 660-XEND (660-9363)
Email<EMAIL_ADDRESS>Currently not available.


--- title: Israel shot 084 date: 2004-03-25T00:00:00.000Z filepathOriginal: photos/IMG0044.jpg filepathThumbnail: photos/IMG0044.thumbnail.jpg filepathPreview: photos/IMG0044.preview.jpg ---
The memorial at the Maccabia Bridge


Contract Ruby Developer
Tables are a really common way of displaying data, but have you tried looking at a table on your phone?
The problem is tables aren’t really designed for mobile, so we need to change them to something that is much more conducive to a smaller screen.
There’s a great tutorial from CSS-Tricks about this, and we used it to take our tables from this…
to this…
This relys on displaying each of the cells as a block and pushing everything else down. To get the labels, you have to manually set them in the CSS. This is a bit of a pain but I found a nice solution using Sass.
We’re going to use Sass to create a mixin that we’ll call responsive-table
so that we can reuse this for every table we want to make. Now the magic here is that we’re taking in a list of arguements into our mixin, and we’re looping through the list and creating a new label to each table cell as we go. This creates our labels on the mobile view, and we can then just use our mixin like this
.table--users {
include responsive-table("First name", "Last name", "Email", "Role", "Actions")
}
Here’s the full code…
@mixin responsive-table($labels...) {
tr:nth-child(even) {
background-color: $table-row__bg-color;
}
@media screen and (max-width: $break__tablet) {
table, thead, tbody, th, td, tr {
display: block;
}
thead tr {
position: absolute;
top: -9999px;
left: -9999px;
}
tr { border: 1px solid $table-row__border-color; }
th:first-child, td:first-child { padding: none; }
td {
/* Behave like a "row" */
border: none;
border-bottom: 1px solid #eee;
position: relative;
padding-left: 50%;
min-height: 24px;
}
td:before {
position: absolute;
top: 12px;
left: 15px;
width: 45%;
padding-right: 10px;
padding-bottom: 12px;
white-space: nowrap;
font-weight: 600;
}
// Loop through arguements and create a new label for each
@for $i from 1 through length($labels) {
td:nth-of-type(#{$i}):before { content: nth($labels, $i); }
}
}
@include e(head) {
border-bottom: solid 3px $table-head__bottom-border;
}
@include e(header) {
&.is-asc {
&:after { content: "˅"; }
}
&.is-desc {
&:after { content: "˄"; }
}
}
}
Then we use our mixins for each table!
@include b(table) {
@include m(reports) {
@include responsive-table("ID", "User name", "Agency", "Timestamp", "Date of discovery", "Status of ape(s)", "Confiscated?", "Status", "Actions")
}
@include m(users) {
@include responsive-table("First name", "Last name", "Email", "Role", "Actions")
}
@include m(agencies) {
@include responsive-table("Name", "Email", "Website URL", "Actions")
}
}
Made with Prosecco, a Jekyll theme I made while drinking Prosecco.


The Maritime Crew's repertoire covers the globe, including traditional and modern shanties and songs of the sea from New Zealand and worldwide.
Shanties are traditionally working songs, providing a measured beat that kept the time for the sailors performing tasks aboard ship. From lowering the anchor to raising a mainsail, there was shanty with the rhythm for the job.
Off the clock, the fo'c'sle shanty was the song sung for enjoyment. It covered all the ground the shanty didn't, from ballad to dance.
Here you'll find a selection of well known shanties sung by the Crew. You're as likely to hear these at a performance as at the brew tent of a folk festival.
Songs coming soon!


Bugs
For large files the print preview does not display the correct page numbers, and will only display up to the first 32767 pages. A workaround is to select the part of the file to be printed and use the "selection" option in the Print dialog.
At the time of release there are no other known bugs. For the latest bug information go to the Bug Forum on our Website.
Version Numbers
HexEdit Pro version numbers consist of 4 parts: major version, minor version + variation, update release and revision. Internally these are stored as 4 numbers.
Major version: A new major version number indicates a major new release (though minor releases are not insignificant)
Minor version: Each new release increases the minor version number. A more significant release may jump to a 5 minor version or the next major version.
Variation: An update letter may be added after the minor version to indicate a variation on a release. This could be for minor bug fixes or small changes.
Update release: If a major bug is found after release with no workaround then an update release will be created.
Revision: This is an internal number indicating the SVN revision number. It is different for every release and monotonically increasing over time.
There have been 3 major version and several minor versions and two variation (the free versions 2.5F and 3.0F). It has never been necessary to produce an update release.
Internally the original minor version is stored as a single digit, but variations multiply by 10 and add 1 to 8 for variations "A" to "H".
Note: The file time (modified time) of HexEditPro.exe and other files are modified for a release to indicate the version number. For example for 2.5F the time is 2:56AM.
Here are some example (not actual) version numbers:
|
Displayed Version |
Internal Version Numbers |
File times |
|
2.5 |
2 5 0 200 |
2:50:00 AM |
|
2.5F |
2 56 0 220 |
2:56:00 AM |
|
3.3 |
3 3 0 250 |
3:30:00 AM |
|
2.5F update 1 |
2 56 1 300 |
2:56:01 AM |
Limitations
There are very few limitations in the use of HexEdit Pro 4.0. Limitations in earlier releases have been removed. For example, some operations (encryption, conversions, compression etc) were limited to selections of 4GBytes, but now can work on any sized selections.
There is no limit on the number of undo operations or the size of keystroke macros.
Windows can has problems with placing large amounts of data on the clipboard, but in HexEdit Pro 4.0 this has been circumvented by use of a custom clipboard format that make use of a temporary file and only uses a small amount of data
The maximum line length (ie, number of columns) is 32767.
International Support
Unfortunately HexEdit Pro only currently supports English in its menus, messages, help etc. The documentation is now in US English as more users are familiar with that than other varieties of English.
Luckily HexEdit Pro does support international numeric and date formats when these are correctly configured in the Windows control panel.
Development Environment
HexEdit 1.0 was developed using Microsoft Visual C++ 5.0 and MFC. The system was NT 4.0 SR3 on a Pentium 100 system with 80 Mbytes of RAM and two hard disks (EIDE and SCSI).
HexEdit versions 1.1 to 2.2 were developed using Microsoft Visual C++ 6.0 under Windows 98 on a Celeron at 487.5 MHz with 128 Mbytes RAM and two monitors (19” and 15”).
HexEdit 2.5 to 3.1 were developed using VC++ 6.0, Windows XP on an Athlon 1600 (K7S5A mobo) with 512 Mbytes RAM and 2 monitors (19" @1600x1200 GForce 4) (17" @1024x768 ET6000).
HexEdit 3.2 to 3.6 were developed Visual Studio 2003 (MFC 7.1) on XP SP2 with Sempron 2300, 1.5 Gbytes RAM. (This is dual boot with Vista Ultimate but I never use Vista except for testing HexEdit on it.)
HexEdit Pro 4.X was developed using Visual Studio 2008, VS2010 and VS2012. I use a dual boot XP/Win7 system but test on XP, Vista. Windows 7 and Windows 8 using VMware images.


Dutch Oven Cast Iron Cooking
One of my favorite things to use for cooking is the dutch oven. I got my first introduction to using cast iron from being in the Boy Scouts. The dutch oven makes for easy one dish meals with easy cleanup. You can make everything from breakfast casseroles to soup/stew, pizza or even dessert. Cast iron in general, is great not just for camping but is great when cooking at home too. However, you may not be too familiar with how to properly use use one, so here are the steps (both outdoor and indoor cooking):
Here is a video on cooking with cast iron from Tasty : Cooking with cast iron
Outdoor Cooking with Dutch Ovens
- Pick a Dutch Oven
- For outdoor use you want a pre-seasoned tri-leg camp dutch oven with a flanged top. a flanged top will allow you to evenly spread coals on top. The tri-pod legs will keep the dutch oven from sitting directly on the colas underneath. The sizes can range anywhere from 2-qt. - 8-qt. (4 - 12 in.).
- Here is a great example of an outdoor dutch oven: Lodge outdoor dutch oven
- Other Materials Needed
- Long tongs
- Thick gloves
- Charcoal briquets (regular, not competition-style)
- Charcoal chimney starter for lighting the charcoal
- Prep the fire
- Light 50 regular briquets in a chimney starter and burn until spotted gray, 15 minutes.
- Arrange the coals
- Method A Bottom heat cooking : For recipes where you want concentrated heat from underneath, for sautéing or making a quick meat dish, just use tongs to spread the coals into an even layer the size of the dutch oven and set the pot on top.
- Method B Top and bottom heat cooking: For recipes like long-cooking stews, you need heat coming from top and bottom. Use tongs to arrange some of the coals in a circle a little smaller than the circumference of the dutch oven. Set the oven on top, then arrange the rest of the coals evenly over the lid.
- Method C Baking: Here you need heat coming from top and bottom, arranged carefully for even browning. Use tongs to arrange some of the coals in a circle a little smaller than the circumference of the dutch oven. Set the oven on top, then arrange a single ring of coals on top of the lid, around the lip. Space a few more across the lid.
- Check the food
- To check food and temp, lift the lid occasionally by sliding tongs through the pot lid’s ring and bracing them against the edge of the lid closest to you.
- Tweak the temperature
- To decrease heat, scrape away some fuel. To increase heat, or to cook longer than 45 minutes, add 5 to 6 new briquets to both the top and the bottom of the dutch oven (touching lit ones, so they’ll ignite) about every 30 minutes, or add wood embers. If briquets don’t light, be ready to ignite them in the chimney. However, there are some debates on whether to use soap on cast iron, but many say that a little soap wont hurt the pan.
Indoor Cooking with Dutch Ovens
- Pick a Dutch Oven
- Since you will be putting your dutch oven in the oven it is ok for the top to be rounded instead of flanged.
- Here is a good example of a dutch oven that will work well inside: Le Creuset Signature Round Dutch Oven
- Can a Dutch Oven go in an Electric Oven?
- Dutch ovens have been successfully prepared in gas and electric ovens, conventional and convection ovens, buried in campfires coals, inside barbecue grills, in roasters, and even on stovetop burners.
- The only type of oven I know that you should NOT use with a cast iron Dutch oven is a microwave oven.
- An oven can work just as well as coals, and the temperature can easier to control. Just make sure your oven can reach 450 degrees fahrenheit.
Personal Experience
The majority of my dutch oven cooking experience occurred while on campouts with the Boy Scouts. I have learned to cook everything from breakfast casserole, biscuits, pizza, and dessert cakes and cobblers. Dessert cooking is one of my favorites, and I even learned a hack when making a cake. Instead of adding everything listed on the box to the cake mix, all you need is a bottle of sprite or other soda. This will work as a replacement for the ingredients like eggs and water and allow you to have a moist and delicious cake.
Cleaning Cast Iron
Is soap good for cast iron? Some will say its fine, while other will tell you to never use it. Here is a link to how to clean cast iron: cleaning cast iron.
Recipes
Here is a great collection of recipes from lodge cast iron: Lodge Cast Iron Recipies Things to cook when using a dutch oven inside: 5 ways to use your dutch oven in the oven


"TIRHAKAH "the last king of Egypt of the Ethiopian (the fifteenth) dynasty. He was the brother-in-law of So (q.v.). He probably ascended the throne about B.C. 692, having been previously king of Ethiopia (2 Kings 19:9; Isaiah 37:9), which with Egypt now formed one nation. He was a great warrior, and but little is known of him. The Assyrian armies under Esarhaddon, and again under Assur-bani-pal, invaded Egypt and defeated Tirhakah, who afterwards retired into Ethiopia, where he died, after reigning twenty-six years.
"TIRHAKAH "the last king of Egypt of the Ethiopian (the fifteenth) dynasty. He was the brother-in-law of So (q.v.). He probably ascended the throne about B.C. 692, having been previously king of Ethiopia (2 Kings 19:9; Isaiah 37:9), which with Egypt now formed one nation. He was a great warrior, and but little is known of him. The Assyrian armies under Esarhaddon, and again under Assur-bani-pal, invaded Egypt and defeated Tirhakah, who afterwards retired into Ethiopia, where he died, after reigning twenty-six years.


./komodod -ac_name=ZAWY24 -ac_adaptivepow=1 -ac_supply=1000000 -ac_reward=10000000000 -ac_cc=2 -addnode=<IP_ADDRESS> &
A channel to discuss mining. For useful links and more info click the pinned messages to the right.
@webworker01 any thoughts (especially about why it always returns to the exact same flat average)?
newvulcan17-Mar-19 03:27 PM
Kinda answering my own question, but in case anyone is interested - yes you can run k-nomp and s-nomp together. Just make sure the website ports are different and also the cli is listening on a different port too.
ComputerGenie 👴👴👴17-Mar-19 04:09 PM
as far as I can tell, it's a GPU miner using BFG
they kept "pre-connecting" with mining.suggest_target and it was a pure flat value showing
once I nulled mining.suggest_target, that's the result
so either the shares math is off or mining.suggest_target allows for something funky
(and yes I have tolower)(edited)
I guess I'm going to have to readd some printouts to see what diff they are operating at and submitting
they've found valid blocks, so I'm operating on the assumption that shares are factually valid (or at least that it's not an intentional "share scam")(edited)
ComputerGenie 👴👴👴17-Mar-19 04:28 PM
might be something different, I just assumed bfg because that silliness was luke's idea and bfg is his iirc
JUST IN: @BITMAINtech has unveiled a new miner for the privacy-oriented cryptocurrency zcash, which it says, has three times more hashing power than its predecessor. https://t.co/kLnS8Un6l9
Thoughts?
This one might get me into mining :p
blackjok3r19-Mar-19 08:10 AM
I thrink they are going to move away fromt hat algo, although james said KMD would not I guess.
Cryptoon19-Mar-19 09:06 AM
I always thought zec also wasnt moving from equihash
blackjok3r19-Mar-19 09:33 AM
Their github would say diffrently
NutellaLicka19-Mar-19 10:43 AM
So if they change algo there is going to be a tonne of miners shifting their farms onto KMD and ecosystem. Hmm...
Cryptoon19-Mar-19 10:46 AM
That would require a higher kmd price to support mining costs
More hash divided over same amount of rewards, so reward/hash lowers, so the value of rewards needs to increase in order for the miners to make it profitable?
NutellaLicka19-Mar-19 10:52 AM
It would. The miners with higher cost would be pushed out. But where else would the equihash farms go
ComputerGenie 👴👴👴19-Mar-19 11:45 AM
If the landscape changed and farms needed a new target, it's far more likely that they would pick PIRATE than KMD
FishyGuts19-Mar-19 02:41 PM
Been like this for at least 2 weeks.
CHMEX19-Mar-19 02:43 PM
which site is that? Maybe we can add the MCap if they have the supply
Antminer Z11: 95.2 sol / watt, $1,242 per unit
A9 ZMaster: 80.6 sol / watt, $1,855 per unit
Antminer Z9: 43.3 sol / watt, $1,127 per unit
ch-ch-changes
ComputerGenie 👴👴👴19-Mar-19 04:49 PM
those numbers only count if you were one of the 14 people that managed to get them during the 9 minutes they were on sale
1
dukeleto19-Mar-19 04:55 PM
To preserve the Zcash community’s values around security, reliability and accessibility, Bitmain had previously Tweeted real-time updates to ensure more transparency and will continue to provide shipping updates of the first batch of the Antminer Z11. These commitments to transparency will continue to provide the Zcash foundation and community with the security, reliability and accessibility they desire of manufacturers.
well, i am glad I didn't buy a bunch of A9/A9+'s
mostly because you have to email them, ugh
ComputerGenie 👴👴👴19-Mar-19 04:57 PM
well, i am glad I didn't buy a bunch of A9/A9+'s
literally the only reason I didn't is because the market spiked down like 12 minutes before my deposit cleared; otherwise I would have bought A9+s yesterday
I was supposed to buy some last week, but I was ill
timing has always been an overall positive for me
Calculate how profitable it is to ASIC mine selected altcoins in comparison to bitcoin
MARRRket cap added
1
Thanks @CHMEX
!kmdtip @CHMEX 0.999
KMD TipBotBOT19-Mar-19 08:39 PM
TipBot
@FishyGuts (FishyGuts#5085)
You tipped @CHMEX0.999 KMD
CHMEX19-Mar-19 08:44 PM
Cool and thanks!
ComputerGenie 👴👴👴20-Mar-19 11:52 AM
Chicken pool will experience some downtime on
Wednesday March 20, 2019 08:00:00 am CDT (see https://www.epochconverter.com/timezones?q=1553086800 for your time zone)
to add some new coins.
++ Be sure to set failovers! ++
БОМБ ОН20-Mar-19 12:02 PM
hi all, let me try to ask here too... i am trying to figure out how exactly to calculate (average) kmd profit based on difficulty and variable hash rate?
currently i am trying to use formula like: input_hashrate / (current_net_difficulty * 8192) * block_reward * 3600 for hourly calculation, but comparing with some other calculators, my numbers are way too much lower...
this formula is based on zcash and as far as i understood 8192 is some work size on zcash, not sure if that's the same figure for KMD too?
CHMEX20-Mar-19 12:11 PM
I'm no miner but if I look at the pirate calc this should be the calculation:
input_hashrate / current_net_difficulty * 3 * 60 * 0.25(edited)
input_hashrate / current_net_difficulty * 3 Block Reward * 60 Mins * 0.25 Free for all mining
75% is reserved for notaries
БОМБ ОН20-Mar-19 12:13 PM
@CHMEX ok i see... didn't know about notaries part...


Demo of notifications for PubSub events:
-
All interactions on this demo occur in response to messages routed through an the instance of Crossbar.io
displayed in the status line at the bottom of the demo box.
-
Channels for sending and receiving messages are independent.
-
Notify across browser windows by using a common controller channel.
You don't have any notifications yet!
5


Terminology¶
This section aims to introduce terminology that is used in this library to make utilization of the library easier to understand in a very basic manner.
Model¶
Model, sometimes referred as business-logic, is the class which describes the overall logic and functionality that will be utilized in your application.
PrimitiveFXMVC currently only holds SerializableModel interface in which Serializable stands for extending java.io.Serializable and java.io.Externalizable for easier serialization of objects to the file system.
View¶
View is the blueprint of generic properties of any Screen.
Currently, this library only has GenericView abstract class which consists of properties as;
- Screen that the view is binded.
- Title of the window.
- Icon of the current stage.
- Width and Height of the current stage.
- Decoratedness of the current stage.
- Resizability of the current stage.
- The state of modality of the current stage relative to its parent window.
- Initial maximized property of current stage.
View is a POJO which describes all these properties. The library, currently, only consists of GenericView.
Screen¶
Screen is the layout of current Scene which is binded to a View. In other words, it is simply the FXML file.
Controller¶
Controller extends the functionality of classical Controller of JavaFX.
This library currently has GenericController which brings functionality to get Scene, Window and Stage from the controller.
Architecture¶
Architecture of PrimitiveFXMVC is as below:


We redefine interfaces!
- orchestrate ubiquitous solutions
- recontextualize plug-and-play e-business
- embrace 24/365 infrastructures
- optimize leading-edge communities
- grow leading-edge communities
- utilize out-of-the-box deliverables
- mesh interactive interfaces
- disintermediate proactive platforms
- optimize magnetic action-items


Select
ifName
Resource Permission
Interface Type
Bandwidth
Neighbor Port
Temporary Neighbor Port
Last Edit time


{% extends "base-home.html" %} {% block extra_js %} {% endblock %} {% block page_content %}
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Pipeline Class / block decorator¶
-
class
Pipeline
(path: Optional[str] = None)¶ Pipeline class that is used to represent pipelines.
- Parameters
path (Optional[str]) – The path from which load a pipeline checkpoint. If not specified an empty pipeline is created.
-
runner
¶ - Type
-
vis_mode
¶ Whether the pipeline is in visualization mode. This is filled during checkpoint loading.
- Type
bool
-
macro
¶ The list of all the macro blocks. Each macro is represented as a list of node hashes.
- Type
List[List[int]]
-
_empty
= <object object>¶ Return this to specify that a block is not ready to create a new output.
-
class
_skip
(x)¶ Return an instance of this to specify that a block is busy processing old input, on next call no new data will be passed.
-
data_type
= ['raw', 'image', 'plot']¶ Supported data_type for visualization blocks.
-
vis_tag
= 'vis'¶ The tag used for visualization blocks.
-
MAX_OUT_SIZE
= 1000¶ The maximum size of the output queues. This is set to avoid out of memory with running pipelines.
-
USE_MACRO_WARNINGS
= True¶ Whether to use a warning wrapper for blocks that are part of macro blocks. Setting this to False will speed up pipelines that use macro blocks but will make debugging more difficult.
-
property
nodes
¶ Returns the list of
Node
that are part of the pipeline.- Returns
The list of nodes.
- Return type
List[Node]
-
property
outputs
¶ Returns a dictionary that maps the output node name to the output node iterator class. If the name of the node was not specified (it can happen if you use hashes to create outputs) the mapping will use the hash as name.
- Returns
Dictionary containing the outputs of the pipeline.
- Return type
dict
-
static
register_block
(func: Callable, is_class: bool, max_queue: int, output_names: List[str], tag: str, data_type: str, intercept_end: bool, allow_macro: bool) → None¶ Register a block in the pipeline list of available blocks, this function is called automatically by the decorator.
Note
This is a static method, if you want to refer to it you can use
Pipeline.register_block
-
static
get_blocks
(serializable: bool = False) → List[dict]¶ Returns all the blocks tagged as a dictionary.
Note
This is a static method, if you want to refer to it you can use
Pipeline.get_blocks
- Parameters
serializable (bool) – Whether if the dictionary returned must be serializable.
- Returns
A list of dictionaries representing each block.
- Return type
List[dict]
-
get_output
(node: Union[int, str])¶ Returns the output node iterator class with name or hash you specified.
Note
While its suggested to use Pipeline.outputs[node] to access a particular output this method can be convenient if you want to access a node by its hash even if it hash a specified name (in the outputs you can access it only by name).
- Parameters
node (Union[int, str]) – The hash or name of the node you are looking for.
-
connections
(node_hash: int, out=None) → List[Tuple]¶ Returns the list of connections of a particular node. Each connections is a tuple of type
(other_hash, out_idx, inp_idx, bool)
where bool isTrue
if the connection is toother
,False
otherwise.- Parameters
node_hash (int) – The hash of the node.
out (Union[bool, None]) – If
None
returns all the connections of the node. IfTrue
returns all the output connections. IfFalse
returns all the input connections.
- Returns
The list of connections.
- Return type
List[Tuple]
-
get_node
(node: Union[int, str])¶ Returns the node that corresponds to name or hash.
Note
Names are arbitrary and unicity is NOT verified. Using name to access nodes may lead to undesired results if the name is duplicated.
- Parameters
node (Union[int, str]) – The name or hash of the node you are looking for.
-
add_node
(block_name: str, **kwargs) → int¶ Adds a new node to the pipeline.
- Parameters
block_name (str) – The name of the block you want to add. You can append ‘/name’ to specify a name that will be used to identify the node as an output. For example ‘sin/sin_preprocessing’ is a valid name for a node called sin with name initialized to ‘sin_preprocessing’
**kwargs – Used to specify custom arguments for the block.
Note
Names are arbitrary and unicity is NOT verified. Creating multiple nodes with same name can produce unexpected results. Be sure to use unique names for output nodes.
- Returns
The hash of the created node
- Return type
int
-
remove_node
(node_hash: Union[str, int])¶ Remove a node from the pipeline.
- Parameters
node (Union[str, int]) – The name or hash of the node you want to remove.
-
add_output
(output: Union[str, int])¶ Mark a node as output, outputs will be the entry point of the pipeline during execution.
Note
If an output is not consumed during pipeline execution it can stall once its queue is full. Ideally all nodes marked as output are consumed.
- Parameters
output (Union[str, int]) – The name or hash of the node you want to mark as an output.
-
remove_output
(output: Union[str, int])¶ Remove an output from the pipeline.
- Parameters
output (Union[str, int]) – The name or hash of the node you want to remove from the list of outputs.
-
remove_tag
(tag: str)¶ Remove all nodes with a particular tag.
- Parameters
tag (str) – The tag you want to remove.
-
add_conn
(from_hash: int, out_index: int, to_hash: int, inp_index: int)¶ Add a connection between two nodes of the pipeline. An output can have multiple connections while an input can have only one.
- Parameters
from_hash (int) – The hash of the output node you are connecting.
out_index (int) – The index of the output you want to connect (starting from zero).
to_hash (int) – The hash of the input node you are connecting to.
inp_index (int) – The index of the input you want to connect (starting from zero).
-
add_macro
(start_hash: int, end_hash: int) → None¶ Create a macro block from start_hash to end_hash, macro blocks will be executed in a faster way internally Only a linearly connected set of nodes can become a macro block. Each block must have allow_macro set to True to support being part of a macro block. Only the last node of a macro block can be marked as an output and every node intern to a macro cannot have outside connections. Pipeline._empty and Pipeline._skip of intern nodes will not be correctly handled and an exception will be raised if encountered.
- Parameters
start_hash (int) – The node that starts the macro block.
end_hash (int) – The node that ends the macro block.
-
is_macro
(node_hash: int) → Tuple[bool, Optional[bool]]¶ Whether a block is part of a macro block.
- Parameters
node_hash (int) – The node you want to verify.
- Returns
The first boolean represent whether the block is part of a macro block. The second one is: None is the block is internal to its macro False if is first block of its macro and True if is last block of its macro.
- Return type
Tuple[bool, Optional[bool]]
-
remove_macro
(node_hash: int) → None¶ Remove the macro block the node is part of.
- Parameters
node_hash (int) – The node whose macro block you want to remove.
-
set_custom_arg
(node_hash: int, key: str, value: Any)¶ Set a custom argument of a node.
Note
This is not intended to be used from visualization, no unserialization will be done, value will be directly assigned to correct node argument.
- Parameters
node_hash (int) – The hash of the node.
key (str) – The name of the argument you want to set.
value (Any) – The value to set for this argument.
-
clear_pipeline
()¶ Resets the state of the pipeline by deleting all its nodes and clearing its outputs.
-
read_vis
()¶ Reads the current data passing from all the visualization blocks.
- Returns
The current visualization data.
- Return type
dict
-
read_qsize
()¶ Reads the current queues size from all the blocks.
- Returns
A list of tuples of form (hash, block_name, current_size, max_size).
- Return type
List[Tuple]
-
build
(use_mp: bool) → None¶ Note
This will automatically be called by running the pipeline. You should not need to call this method.
Build the pipeline and make it ready to be run. It creates the list of associated
TerminableThread
andQueueConsumer
and binds them together using CloseableQueueTo build the pipeline graph we follow the Kahn’s Algorithm for topologic sorting applied to the nodes that have their inputs satisfied.
Pseudo Code (from link):
----- Kahn's algorithm for topologic sorting. ----- L ← Empty list that will contain the sorted elements S ← Set of all nodes with no incoming edge while S is non-empty do remove a node n from S add n to tail of L for each node m with an edge e from n to m do remove edge e from the graph if m has no other incoming edges then insert m into S if graph has edges then return error (graph has at least one cycle) else return L (a topologically sorted order)
- use_mpbool
Whether to use multiprocessing instead of threading.
-
run
(slow: bool = False, use_mp: bool = False) → None¶ Run the pipeline.
- Parameters
slow (bool) – Whether to run the pipeline in slow mode, useful for visualization and debugging.
use_mp (bool) – Whether to use multiprocessing instead of threading.
-
stop
() → None¶ Stops the pipeline.
-
save
(path: str, vis_data: dict = {}) → None¶ Save the pipeline to file.
- Parameters
path (str) – The path of the file you want to save the pipeline to.
vis_data (dict) – The visualization data associated with this pipeline.
-
load
(path: str, vis_mode: bool = False, exclude_tags: list = []) → object¶ Loads a pipeline checkpoint from a previously created .pickle file.
- Parameters
path (str) – The path to the pickle file.
vis_mode (bool) – Visualization mode, can cause memory leaks if no visualization is actually connected. If False all the visualization blocks will be automatically removed. For this reason you should not save the pipeline once you loaded it or you will lose the visualization part.
exclude_tags (list) – Tags to exclude from the checkpoint. All the nodes with these tags will be removed from the pipeline.
- Returns
The visualization data loaded in the checkpoint, you can ignore it if you are not using visualization.
- Return type
object
-
join
(timeout: Optional[float] = None) → None¶ This is builded following Thread.join method from Threading module. Refer to the original documentation which is reported in the following note.
Note
Wait until the thread terminates.
This blocks the calling thread until the thread whose join() method is called terminates – either normally or through an unhandled exception or until the optional timeout occurs.
When the timeout argument is present and not None, it should be a floating point number specifying a timeout for the operation in seconds (or fractions thereof). As join() always returns None, you must call is_alive() after join() to decide whether a timeout happened – if the thread is still alive, the join() call timed out.
When the timeout argument is not present or None, the operation will block until the thread terminates.
A thread can be join()ed many times.
join() raises a RuntimeError if an attempt is made to join the current thread as that would cause a deadlock. It is also an error to join() a thread before it has been started and attempts to do so raises the same exception.
-
is_alive
() → bool¶ Returns whether the pipeline is alive. The pipeline is considered alive if at least one of its nodes is running.
-
class
PipelineRunner
¶ The class used to build and run pipelines.
-
built
¶ Whether the pipeline has already been built and can be run or not.
- Type
bool
-
threads
¶ The list of the threads associated to our pipeline.
- Type
List[TerminableThread]
-
vis_source
¶ The list of consumers used for visualization.
- Type
dict[QueueConsumer]
-
-
block
(f: Callable = None, max_queue: int = 10, output_names: List[str] = None, tag: str = 'None', data_type: str = 'raw', intercept_end: bool = False, allow_macro: bool = True)¶ Decorator function to tag custom blocks to be added to pipeline
- Parameters
f (Callable) – The function generator (or class) you are decorating (will be populated by the decorator)
max_queue (int) – Max queue length for the output of the block
output_names (str) – List of names for each output
tag (str) – Tag to organize decorated blocks
data_type (str) – For visualization blocks you have to specify the format of data you want to visualize
intercept_end (bool) – Whether the block should intercept pipeline end and manually manage termination. This is a complex and advanced feature and must be implemented correctly or pipeline termination is not assured.
Blocks¶
The following is documentation for prebuilt blocks of the pipeline. You can use these blocks directly by adding them to the pipeline.
Inputs¶
-
class
np_iter_file
(path: str = '')¶ returns the raw buffer, line by line from a numpy file. This is similar to stacking a
numpy_flow
into aniterator
. This is a finite generator and will stop the pipeline on end.- Parameters
path (str) – The path to the file you want to load.
- Returns
- Return type
The Content of the loaded array line by line.
-
class
np_file
(path: str = '')¶ returns the full raw buffer once from a numpy file.
- Parameters
path (str) – The path to the file you want to load.
- Returns
- Return type
The Content of the loaded array.
-
np_flow
(path)¶ returns the raw buffer from the path provided as input. This is an infinite generator and will never raise a StopIteration
- Returns
- Return type
The full content of the loaded array from the path you provided.
-
class
pickle_iter_file
(path: str = '')¶ returns the raw buffer, line by line from a pickle file. This is similar to stacking a
numpy_flow
into aniterator
. This is a finite generator and will stop the pipeline on end.- Parameters
path (str) – The path to the file you want to load.
- Returns
- Return type
The Content of the loaded pickle line by line.
-
class
pickle_file
(path: str = '')¶ returns the full raw buffer once from a pickle file.
- Parameters
path (str) – The path to the file you want to load.
- Returns
- Return type
The Content of the loaded pickle.
-
pickle_flow
(path)¶ returns the raw buffer from the path provided as input. This is an infinite generator and will never raise a StopIteration.
- Returns
- Return type
The full content of the loaded pickle from the path you provided.
-
class
json_file
(path: str = '')¶ returns the full raw buffer once from a json file.
- Parameters
path (str) – The path to the file you want to load.
- Returns
- Return type
The Content of the loaded json.
-
json_flow
(path)¶ returns the raw buffer from the path provided as input. This is an infinite generator and will never raise a StopIteration.
- Returns
- Return type
The full content of the loaded json from the path you provided.
Flows¶
-
class
iterator
¶ Iterates over its input, will not accept new inputs until it reaches a StopIteration.
- Returns
- Return type
Elements of the iterable object you passed as input.
-
class
batchify
(size: int = 2, to_array: bool = True)¶ Concatenates subsequent inputs together until it reaches the size requested.
- Parameters
size (int) – The size of each bach.
to_array (bool) – Whether you want the output as a np array or not.
- Returns
- Return type
Batch of inputs of the size specified.
Common data manipulation¶
-
string
(value: str = '')¶ A constant string.
- Parameters
value (str) – The string value.
-
constant
(value: float = 0)¶ A constant float.
- Parameters
value (float) – The float value.
-
index
(x, index: int = 0)¶ returns its input indexed by index value.
[TODO:description]
- Parameters
index (int) – The index value.
-
key
(x, key: str = '')¶ returns its input indexed by key
- Parameters
key (str) – The key value.
-
index_slice
(x, slice_value: slice = '')¶ return its input sliced by value
- Parameters
slice_value (slice) – The slice value.
-
np_cast
(x, np_type: str = 'float32')¶ Cast input to any numpy type.
- Parameters
np_type (str) – The numpy type you want to cast to.
- Returns
- Return type
Its input as a numpy array of type specified.
-
np_reshape
(x, shape: tuple = (28, 28))¶ Reshape its input to shape value
- Parameters
shape (tuple) – The shape value
-
np_linspace
(start: float = 0, stop: float = 0, num: int = 50, endpoint: bool = True, retstep: bool = False, dtype: numpy.dtype = None)¶ returns a numpy linear space. Refer to numpy linspace function for argument description
- Parameters
start (float) –
stop (float) –
num (int) –
endpoint (bool) –
retstep (bool) –
dtype (np.dtype) –
-
np_randn
(shape: tuple = (1, ))¶ returns random numbers with shape specified from a normal distribution. See numpy random randn function for more details.
- Parameters
shape (tuple) – The output shape.
-
np_randint
(low: int = 0, high: int = None, size: int = None, dtype: str = 'l')¶ returns random integers with low / high and size specified. Refer to numpy random randint documentation for more details.
- Parameters
low (int) –
high (int) –
size (int) –
dtype (str) –
-
np_ones
(shape: tuple = None, dtype: numpy.dtype = None, order: str = 'C')¶ returns a numpy array of the shape specified filled with ones. Refer to numpy documentation for more details.
- Parameters
shape (tuple) –
dtype (np.dtype) –
order (str) –
-
np_zeros
(shape: tuple = None, dtype: numpy.dtype = None, order: str = 'C')¶ returns a numpy array of the shape specified filled with zeros. Refer to numpy documentation for more details.
- Parameters
shape (tuple) –
dtype (np.dtype) –
order (str) –
-
np_empty
(shape: tuple = None, dtype: numpy.dtype = None, order: str = 'C')¶ returns an empty numpy array of the shape specified. Refer to numpy documentation for more details.
- Parameters
shape (tuple) –
dtype (np.dtype) –
order (str) –
-
class
accumulate
¶ returns the summed value of its inputs every time it receives a StopIteration.
-
filter_func
(x, func: Callable = <function <lambda>>)¶ returns its inputs filtered by func function.
- Parameters
func (Callable) – The function you want to filter with, should return a boolean.
-
add
(x, y)¶
-
subtract
(x, y)¶
-
multiply
(x, y)¶
-
divide
(x, y)¶
-
integer_division
(x, y)¶ x // y
-
modulo
(x, y)¶ x % y
-
sin
(x)¶
-
cos
(x)¶
-
tan
(x)¶
-
asin
(x)¶
-
acos
(x)¶
-
atan
(x)¶
-
sinh
(x)¶
-
cosh
(x)¶
-
tanh
(x)¶
Images manipulation¶
-
random_image
(size: tuple = (28, 28))¶ Create a random image of shape specified.
- Parameters
size (tuple) – The size of the random image.
-
image_rgb
(r, g, b, size: tuple = (28, 28))¶ Create an image with fixed color for r, g, b input channels (0 to 255).
- Parameters
size (tuple) – The size of the image you want.
-
resize_cv2
(image, width: int = 224, height: int = 224)¶ Resize input image to resolution.
- Parameters
width (int) – The width of the output image.
height (int) – The height of the output image.
- Returns
- Return type
The image resized to specified resolution.
-
change_contrast
(image, contrast: float = 1.0)¶ Change the constrast of an image.
- Parameters
contrast (float) – The contrast you want to set. [0; 1.0] recommended.
-
change_brightness
(image, brightness: float = 50)¶ Change the brightness of an image.
- Parameters
brightness (float) – The brightness to set.
Utils¶
-
class
benchmark
(n: int = 1000, end: bool = True, log: bool = False)¶ Benchmark the flow of the pipeline up to this point. Will return the result once it reaches the number of iteration requested.
- Parameters
n (int) – The number of outputs the pipeline will pass to this block before it outputs. the statistics.
end (bool) – Whether to kill the pipeline once it finished the first benchmark.
log (bool) – Whether to log the message as well.
Visualization¶
-
vis_text
(input1)¶ Visualize raw text.
-
vis_shape
(input1)¶ Visualize shape of object (if supported). This is equivalent to calling input.shape and passing it to a raw visualization buffer.
-
class
plt_scatter
(show_axis: bool = True)¶ Visualize a scatter plot, equivalent to matplotlib.pyplot.scatter on the x and y inputs.
- Parameters
show_axis (bool) – Whether to show the axis of the plot.
-
class
plt_plot
(show_axis: bool = True)¶ Visualize a plot, equivalent to matplotlib.pyplot.plot on the x and y inputs.
- Parameters
show_axis (bool) – Whether to show the axis of the plot.
Additional Documentation¶
Note
The following documentation is for parts of the library you should not usually interact with directly, the documentation is attached for completeness.
-
class
Block
(f: Callable, is_class: bool, max_queue: int, output_names: List[str], tag: str, data_type: str, intercept_end: bool, allow_macro: bool)¶ The class used to represent one generator function (or class) that has been tagged with the block decorator provided by
vispipe.block()
.- Parameters
f (Callable) – The function (or class with run function) this block represent.
is_class (bool) – If the function tagged is actually a class.
max_queue (int) – The maximum size of the queues of this block.
output_names (List[str]) – The names used by the outputs of your function. The length of this list is used as the number of outputs of the function.
tag (str) – A string tag used to group the blocks (useful during visualization).
data_type (str) – If a visualization block this field is used to specify the kind of data you want to visualize. Check
vispipe.Pipeline
for a list of the supported types.intercept_end (bool) – Whether the block should intercept pipeline end and manually manage termination. This is a complex and advanced feature and must be implemented correctly or pipeline termination is not assured.
allow_macro (bool) – Whether the block can be part of macro blocks. While this should usually be True blocks that intercept the end of pipeline or use
vispipe.Pipeline._empty()
andvispipe.Pipeline._skip()
should set this flag False
-
class
Node
(node_block: Tuple[vispipe.node.Block, str], **kwargs)¶ The class used to represent a node of the pipeline.
- Parameters
node_block (Tuple[Block, str]) – The block of the pipeline the node represent and the name used to initialize the node.
-
custom_args
¶ The custom arguments used for calling the block funtion during execution.
- Type
dict
-
_hash
¶ Custom hash used to reload the pipeline checkpoints.
- Type
int
-
out_queues
¶ The list of output queues used to process the outputs of the node.
- Type
List[Queue]
-
name
¶ The name of the node, used for output management
- Type
Optional[str]
-
class
Graph
(num_vertices: int)¶ The class used to represent the abstract structure of a pipeline, it’s nodes and connections.
- Parameters
num_vertices (int) – The max number of vertices (nodes) we want to represent. It is usually fixed to a large number, it cannot be changed in a later moment.
-
adj_list
¶ The adj_list is used to track connections between nodes.
- Type
List[set]
-
vertices
¶ The vertices (nodes) of the graph.
- Type
set
-
available_ids
¶ Ids that are free to use for new nodes.
- Type
set
-
num_vertices
¶ The max number of vertices (nodes) we want to represent. It is usually fixed to a large number, it cannot change after instantiation.
- Type
int
-
last_id_used
¶ Used to iterate only over the subset of nodes that are in the pipeline.
- Type
int
-
class
Hash
(maxsize: int)¶ The class used to assign unique identifiers to the nodes of the pipeline.
- Parameters
maxsize (int) – The maximum number of identifiers that can exist.


RotateTexture texture,angle#
Parameters:
| texture - texture handle angle# - absolute angle of texture rotation |
Description:
| Rotates a texture. This will have an immediate effect on all instances of the texture being used. Rotating a texture is useful for performing swirling texture effects, such as for smoke etc. |
| ; RotateTexture Example ; --------------------- Graphics3D 640,480 SetBuffer BackBuffer() camera=CreateCamera() light=CreateLight() RotateEntity light,90,0,0 cube=CreateCube() PositionEntity cube,0,0,5 ; Load texture tex=LoadTexture( "media/b3dlogo.jpg" ) ; Texture cube EntityTexture cube,tex ; Set initial texture angle value angle#=1 While Not KeyDown( 1 ) ; Change texture angle value depending on key pressed If KeyDown( 205 )=True Then angle#=angle#-1 If KeyDown( 203 )=True Then angle#=angle#+1 ; Rotate texture RotateTexture tex,angle# TurnEntity cube,0.1,0.1,0.1 RenderWorld Text 0,0,"Use left and right cursor keys to change texture angle value" Text 0,20,"angle#="+angle# Flip Wend End |


Convert SBD to STEEM
Username
Private active key
Convert amount (3 decimals)
Request ID
Transfer result


| Home | About | Passion | Clicks |
|---|
| Education |
||
| School | Degree | |
| Yasodara Devi Balika Vidyalaya, Gampaha | B Sc. in Business Management (Logistics Management) Special Degree National School of Business Management |
| Work Experience |
|
| John Keells Holdings – Infomate Pvt Ltd | Senior Process Associate Working as a member of shipping and Logistics team of an Australian beef manufacturing company (AACo). Participate in short term projects such as process migrations, creating SOPs & mappings; ISO audits; 5s projects, benchmarking, team presentations. Providing new improvement ideas and initiating best practices to improve the team performance and accuracy |
| CMA-CGM Shared Services Center –Sri Lanka | Customer Service Executive Handled extended scope activities, Inputting, Communication Mail box, training the team, preparing KPI reports on the process and provided quick and swift response to customer, agency and head office. Was selected as the trainer and sent to India – Mumbai office for Process transition and trained a new team. |


- Controls
- Start: Enter
- Select: Space
- L/R Triggers: RO
- L/R Shoulders: EP
- ABXY Buttons: HGYT
- DPad: Arrow keys
- Left joy/thumb: WASDX
- Right joy/thumb: IJKL,
- Controller Layout
- More Help
- Saves
- Save Game
- Export SRAM
- Import SRAM
- Autosave (5m)
- States
- Save State
- Load State
- Undo Save State
- Undo Load State
- Export State
- Import State
- Graphics
- Smooth Pixels
- Double Resolution
- Console
- Menu
- Pause


{% include head.html %}
{% include coa-header.html %} {% include dash-top-nav.html %}Our goal is to create a network of traffic sensors built with commodity hardware and open-source software. We intend to make the sensor software and collected data publicly available so that research institutions, private companies, and the general public can help us derive new insights about Austin’s transportation system. We do not have the IT resources to take on this project by ourselves, and commercial data collection solutions are prohibitively expensive. That’s why we’re seeking help from Austin’s incredible community of civic-minded technologists to help us achieve our goal. We believe strongly that, if successful, this project will lead to tangible improvements in Austin’s transportation system, and will represent a truly innovative approach to the deployment of community-driven smart city technologies.
To request a new traffic signal or follow-up on an existing request, call 3-1-1. You can also submit a traffic signal service request online.
If you have questions about this web page or the data that powers it, contact<EMAIL_ADDRESS>This dashboard is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of traffic signals.


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Constructs a new internalizationized exception, meaning that the
contents of this exception may be formatted for internationalized
usage.
If the internationalization object is not instanciated, then the
message is used as a raw translation, if the translation parameter
is specified then its formatted using a sprintf-alike syntax,
example:
If the translation method is specified and the component is not loaded, then
formatting will be applied internally.
Now if the internationalization component is loaded, then the above
would have outputted the same, however internally it would lookup the
phrase name 'age_limit_x' within the internationalization object, and
find its translation phrase and format it like regular phrases are
formatted with the {1}, {2}, {N} syntax.


Window QML Type
Creates a new top-level window More...
| Import Statement: | import QtQuick.Window 2.2 |
| Instantiates: | QQuickWindow |
Properties
- active : bool
- activeFocusItem : Item
- color : color
- contentItem : Item
- contentOrientation : Qt::ScreenOrientation
- data : list<Object>
- flags : Qt::WindowFlags
- height : int
- maximumHeight : int
- maximumWidth : int
- minimumHeight : int
- minimumWidth : int
- modality : Qt::WindowModality
- opacity : real
- screen : variant
- title : string
- visibility : QWindow::Visibility
- visible : bool
- width : int
- x : int
- y : int
Attached Properties
- active : bool
- activeFocusItem : Item
- contentItem : Item
- height : int
- visibility : QWindow::Visibility
- width : int
- window : Window
Signals
- void closing(CloseEvent close)
Methods
- alert(int msec)
- close()
- hide()
- lower()
- raise()
- requestActivate()
- show()
- showFullScreen()
- showMaximized()
- showMinimized()
- showNormal()
Detailed Description
The Window object creates a new top-level window for a Qt Quick scene. It automatically sets up the window for use with QtQuick 2.x
graphical types.
To use this type, you will need to import the module with the following line:
import QtQuick.Window 2.2
Omitting this import will allow you to have a QML environment without access to window system features.
A Window can be declared inside an Item or inside another Window; in that case the inner Window will automatically become "transient for" the outer Window: that is, most platforms will show it centered upon the outer window by default, and there may be other platform-dependent behaviors, depending also on the flags. If the nested window is intended to be a dialog in your application, you should also set flags to Qt.Dialog, because some window managers will not provide the centering behavior without that flag. You can also declare multiple windows inside a top-level QtObject, in which case the windows will have no transient relationship.
Alternatively you can set or bind x and y to position the Window explicitly on the screen.
When the user attempts to close a window, the closing signal will be emitted. You can force the window to stay open (for example to prompt the user to save changes) by writing an onClosing
handler and setting close.accepted = false
.
Property Documentation
The active status of the window.
This QML property was introduced in Qt 5.1.
See also requestActivate().
activeFocusItem : Item |
The item which currently has active focus or null
if there is no item with active focus.
This QML property was introduced in Qt 5.1.
The background color for the window.
Setting this property is more efficient than using a separate Rectangle.
[read-only] contentItem : Item |
The invisible root item of the scene.
This is a hint to the window manager in case it needs to display additional content like popups, dialogs, status bars, or similar in relation to the window.
The recommended orientation is Screen.orientation, but an application doesn't have to support all possible orientations, and thus can opt to ignore the current screen orientation.
The difference between the window and the content orientation determines how much to rotate the content by.
The default value is Qt::PrimaryOrientation.
This QML property was introduced in Qt 5.1.
See also Screen.
The data property allows you to freely mix visual children, resources and other Windows in a Window.
If you assign another Window to the data list, the nested window will become "transient for" the outer Window.
If you assign an Item to the data list, it becomes a child of the Window's contentItem, so that it appears inside the window. The item's parent will be the window's contentItem, which is the root of the Item ownership tree within that Window.
If you assign any other object type, it is added as a resource.
It should not generally be necessary to refer to the data
property, as it is the default property for Window and thus all child items are automatically assigned to this property.
See also QWindow::transientParent().
The window flags of the window.
The window flags control the window's appearance in the windowing system, whether it's a dialog, popup, or a regular window, and whether it should have a title bar, etc.
The flags which you read from this property might differ from the ones that you set if the requested flags could not be fulfilled.
Defines the window's maximum size.
This is a hint to the window manager to prevent resizing above the specified width and height.
This QML property was introduced in Qt 5.1.
Defines the window's maximum size.
This is a hint to the window manager to prevent resizing above the specified width and height.
This QML property was introduced in Qt 5.1.
Defines the window's minimum size.
This is a hint to the window manager to prevent resizing below the specified width and height.
This QML property was introduced in Qt 5.1.
Defines the window's minimum size.
This is a hint to the window manager to prevent resizing below the specified width and height.
This QML property was introduced in Qt 5.1.
The modality of the window.
A modal window prevents other windows from receiving input events. Possible values are Qt.NonModal (the default), Qt.WindowModal, and Qt.ApplicationModal.
The opacity of the window.
If the windowing system supports window opacity, this can be used to fade the window in and out, or to make it semitransparent.
A value of 1.0 or above is treated as fully opaque, whereas a value of 0.0 or below is treated as fully transparent. Values inbetween represent varying levels of translucency between the two extremes.
The default value is 1.0.
This QML property was introduced in Qt 5.1.
screen : variant |
The screen with which the window is associated.
If specified before showing a window, will result in the window being shown on that screen, unless an explicit window position has been set. The value must be an element from the Qt.application.screens array.
Note: To ensure that the window is associated with the desired screen when the underlying native window is created, make sure this property is set as early as possible and that the setting of its value is not deferred. This can be particularly important on embedded platforms without a windowing system, where only one window per screen is allowed at a time. Setting the screen after a window has been created does not move the window if the new screen is part of the same virtual desktop as the old screen.
This QML property was introduced in Qt 5.9.
See also QWindow::setScreen(), QWindow::screen(), QScreen, and Qt.application.
The window's title in the windowing system.
The window title might appear in the title area of the window decorations, depending on the windowing system and the window flags. It might also be used by the windowing system to identify the window in other contexts, such as in the task switcher.
The screen-occupation state of the window.
Visibility is whether the window should appear in the windowing system as normal, minimized, maximized, fullscreen or hidden.
To set the visibility to AutomaticVisibility means to give the window a default visible state, which might be FullScreen or Windowed depending on the platform. However when reading the visibility property you will always get the actual state, never AutomaticVisibility
.
When a window is not visible its visibility is Hidden, and setting visibility to Hidden is the same as setting visible to false
.
This QML property was introduced in Qt 5.1.
See also visible.
Whether the window is visible on the screen.
Setting visible to false is the same as setting visibility to Hidden.
See also visibility.
Attached Property Documentation
This attached property tells whether the window is active. The Window attached property can be attached to any Item.
Here is an example which changes a label to show the active state of the window in which it is shown:
import QtQuick 2.4 import QtQuick.Window 2.2 Text { text: Window.active ? "active" : "inactive" }
This QML property was introduced in Qt 5.4.
Window.activeFocusItem : Item |
This attached property holds the item which currently has active focus or null
if there is no item with active focus. The Window attached property can be attached to any Item.
This QML property was introduced in Qt 5.4.
Window.contentItem : Item |
This attached property holds the invisible root item of the scene or null
if the item is not in a window. The Window attached property can be attached to any Item.
This QML property was introduced in Qt 5.4.
These attached properties hold the size of the item's window. The Window attached property can be attached to any Item.
This QML property was introduced in Qt 5.5.
This attached property holds whether the window is currently shown in the windowing system as normal, minimized, maximized, fullscreen or hidden. The Window
attached property can be attached to any Item. If the item is not shown in any window, the value will be Hidden.
This QML property was introduced in Qt 5.4.
See also visible and visibility.
These attached properties hold the size of the item's window. The Window attached property can be attached to any Item.
This QML property was introduced in Qt 5.5.
Window.window : Window |
This attached property holds the item's window. The Window attached property can be attached to any Item.
This QML property was introduced in Qt 5.7.
Signal Documentation
void closing(CloseEvent close) |
This signal is emitted when the user tries to close the window.
This signal includes a close parameter. The close.accepted
property is true by default so that the window is allowed to close; but you can implement an onClosing
handler and set close.accepted = false
if you need to do something else before the window can be closed.
The corresponding handler is onClosing
.
This QML signal was introduced in Qt 5.1.
Method Documentation
Causes an alert to be shown for msec milliseconds. If msec is 0
(the default), then the alert is shown indefinitely until the window becomes active again.
In alert state, the window indicates that it demands attention, for example by flashing or bouncing the taskbar entry.
This QML method was introduced in Qt 5.1.
Closes the window.
When this method is called, or when the user tries to close the window by its title bar button, the closing signal will be emitted. If there is no handler, or the handler does not revoke permission to close, the window will subsequently close. If the QGuiApplication::quitOnLastWindowClosed property is true
, and there are no other windows open, the application will quit.
Lowers the window in the windowing system.
Requests that the window be lowered to appear below other windows.
Raises the window in the windowing system.
Requests that the window be raised to appear above other windows.
Requests the window to be activated, i.e. receive keyboard focus.
This QML method was introduced in Qt 5.1.
Shows the window.
This is equivalent to calling showFullScreen(), showMaximized(), or showNormal(), depending on the platform's default behavior for the window type and flags.
See also showFullScreen(), showMaximized(), showNormal(), hide(), and QQuickItem::flags().
Shows the window as fullscreen.
Equivalent to setting visibility to FullScreen.
Shows the window as maximized.
Equivalent to setting visibility to Maximized.
Shows the window as minimized.
Equivalent to setting visibility to Minimized.
Shows the window as normal, i.e. neither maximized, minimized, nor fullscreen.
Equivalent to setting visibility to Windowed.


#include <array_ops.h>
Gather slices from params
axis axis
according to indices
.
indices
must be an integer tensor of any dimension (usually 0-D or 1-D). Produces an output tensor with shape params.shape[:axis] + indices.shape + params.shape[axis + 1:]
where:
# Scalar indices (output is rank(params) - 1). output[a_0, ..., a_n, b_0, ..., b_n] = params[a_0, ..., a_n, indices, b_0, ..., b_n]
# Vector indices (output is rank(params)). output[a_0, ..., a_n, i, b_0, ..., b_n] = params[a_0, ..., a_n, indices[i], b_0, ..., b_n]
# Higher rank indices (output is rank(params) + rank(indices) - 1). output[a_0, ..., a_n, i, ..., j, b_0, ... b_n] = params[a_0, ..., a_n, indices[i, ..., j], b_0, ..., b_n]
Note that on CPU, if an out of bound index is found, an error is returned. On GPU, if an out of bound index is found, a 0 is stored in the corresponding output value.
See also tf.batch_gather
and tf.gather_nd
.
Arguments:
axis + 1
.[0, params.shape[axis])
.params
to gather indices
from. Defaults to the first dimension. Supports negative indexes.Returns:
Output
: Values from params
gathered from indices given by indices
, with shape params.shape[:axis] + indices.shape + params.shape[axis + 1:]
.
Constructors and Destructors |
|
|---|---|
GatherV2(const ::tensorflow::Scope & scope, ::tensorflow::Input params, ::tensorflow::Input indices, ::tensorflow::Input axis)
|
Public attributes |
|
|---|---|
operation
|
|
output
|
Public functions |
|
|---|---|
node() const
|
::tensorflow::Node *
|
operator::tensorflow::Input() const
|
|
operator::tensorflow::Output() const
|
|
Operation operation
::tensorflow::Output output
GatherV2( const ::tensorflow::Scope & scope, ::tensorflow::Input params, ::tensorflow::Input indices, ::tensorflow::Input axis )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const


Developers of reusable software elements, such as libraries, usually have the responsibility to provide comprehensive and high quality documentation to enable effective software reuse. The effective reuse of libraries depends upon the quality of the API (Application Program Interface) documentation.
Well established libraries typically have comprehensive API documentation, for example in Javadocs. However, they typically lack examples and explanations, which makes the effective reuse of the library difficult. StackOverflow.com (SO) is a Question and Answer service directed to issues related to software development.
On SO, developers post questions related to a programming topic and other members of the SO community can provide answers to help them solving their problems. Despite the increasing adoption of SO, the information related to a particular topic is spread across the website. Thus, SO still lacks organization of its crowd knowledge.
In this paper, we present an automatic approach that organizes the information available on SO in order to build cookbooks (recipe-oriented books) for APIs. The cookbooks are meant to be used through an exploration process (browsing). In order to evaluate the proposed approach, we have generated cookbooks for three APIs widely used by the software development community: SWT, STL and LINQ. Desired properties that cookbooks must meet were identified and a study was conducted to assess to what extent the generated cookbook meet those properties.


Warning: this post contains images that may be disturbing, particularly to the trypophobic and those averse to badly drawn cats
Last week in Fun With Neural Networks we covered the delightful neural network projects of Janelle Shane, who wants to "Char-rnn ALL THE THINGS" with often hilarious results.
The things she tends towards, though, are largely text-based data. This week, we're going deeper. Deep Dream deep.
Dive, dive, dive!
Released in July of 2015, Google's Deep Dream computer vision program delighted and horrified humanity with its image manipulation capabilities. Using what has been dubbed "algorithmic pareidolia," Deep Dream uses its neural network programming (that's the algorithmic part) to classify and manipulate images in a way that it recognizes; the pareidolia part comes from its similarity to the human psychological phenomenon of seeing human faces on non-human objects (/r/pareidolia always has a fresh supply of examples, but you can probably find one in the objects around you right now!)
But Deep Dream doesn't see faces... at least not the way humans do. While some of the resulting images are charmingly abstract and would make a lovely psychedelic print:
Others, like this GIF that made it to the front page of Reddit, are pure bad trip:
The network's propensity for finding animal faces and eyes is a result of its training data, but some have theorized that the hallucinogenic resemblance of its output may be evidence of neural networks' impending ability to replicate human brain complexity (or at least some aspects of our visual cortex). If you're interested in even wilder theories about what Deep Dream could evolve into, MONTAG published a short fiction entitled Deep Awakening on this very subject.
Even Google admits on the Deep Dream site that use of the algorithm has primarily become a new medium for creating psychedelic and abstract art. A recent example is the music video for Foster the People's "Doing It For The Money." Hold on to your pumped up kicks as you watch what is a fairly standard pop video (the band in a room, the silhouette of a woman, shots of driving, someone running somewhere, for some reason) get a little extra flavor from sticking a square of circuit board-printed blotter paper under its tongue:
Steal Her Style!
Less disturbing and surreal, the Deep Dream network's cousin, Deep Style, can perform style transfer, where it uses the network's knowledge of painting styles to combine two images, overlaying the textures, shapes, and colors of one, onto the composition of another (check out the Deep Dream feed for the source images as well as the results):
Style transfer was originally developed by a research team from the University of Tubingen in Germany, who released A Neural Algorithm of Artistic Style, but you can now see style transfer algorithms everywhere: Google, Adobe, Facebook, and tons of standalone apps like Prisma use style transfer to make your photos look they were painted by Van Gogh or Picasso.
One neural network-driven style transfer art project recently went viral on Twitter: dinosaurs and flowers by Chris Rodley (@chrisrodley) used the web app DeepArt.io to combine books of prehistoric beasts with flowers and 19th-century engravings of fruit:
Due to the crazy amount of interest the internet expressed in these floral monstrosities, Chris Rodley hosted the answers to some frequently asked questions on his blog about how to do it yourself.
If you want to get really deep into the code and set up your own neural networks, there are open source projects available on Github that you can use to start, or try a web app like DeepArt.io or Ostagram.
Unlike a simple photo filter, web apps like these let you enter both images: the one you want to apply style to and the one to take the style from. It's a very different process when the user chooses both parts of the equation (as opposed to when we let the neural network impose its own idea of a style) because, as we'll see in later examples of neural network processed images, the source material really matters.
Neural networks have a very vague sense of what cats are made of
Let's take cats as a wild example. Imagine a neural network exists that wants to turn anything you feed into it into what it thinks a cat is.
First, of course, the network has to have some definition of what a cat is, which is easier said than done.
Here are several projects illustrating the fact that sometimes neural networks are very bad at finding out exactly what things are.
This image set, which circulated on the internet as "Adversarial images for machine learning," was attributed to @teenybiscuit. These are problems that even humans might not figure out at first glance: is that a chihuahua? Or a blueberry muffin?
But it turns out that neural networks can be tricked even more easily than human eyes, as explained in this article by Julie Evans: "How to trick a neural network into thinking a panda is a vulture." Without getting deep into the math, these mistakes are incredibly easy for neural networks to make.
Sam Winiger, who also created neural networks that wrote in the style of a TED Talk, shared his attempts at "computational comedy" by having a neural network create image captions that are occasionally hilariously wrong:
The pix2pix image demo Edges 2 Cats uses a Generative Adversarial Network (or GAN) which is another type of neural network. In this particular demo, it has been trained on 2000 stock photos of cats, and will try to transform any line drawing into a cat-like object.
As you can see, misuse of this tool creates fuzz-covered balls of weird that resemble animals just enough to be disturbing.
And it's even worse when pix2pix tries to make people.
As we saw in Deep Dream's manipulations, we've blown through the uncanny valley with neural network image processing and into the Uncanny Mariana Trench.
Motherboard covered the use of the same pix2pix algorithm in a Dutch photo-generation tool that was trained on many images of a single person and has since been shut down after its viral popularity incurred crippling server costs:
(To see more examples of the now-defunct fotogenerator, check out coverage by Digg and The Verge)
For those who are afraid that artificial intelligence-powered voice and video manipulation will mean that in the future no digital artifact can by trusted, these experiments should give you hope. For now, you can tell when a neural network is generating images, because it still doesn't look quite right in the best scenarios, and in the worst cases, it's the stuff of nightmares.


Javadoc Technology
Javadoc is a tool that parses the declarations and documentation
comments in a set of source files and produces a set of HTML pages
describing the classes, interfaces, constructors, methods, and
fields.
You can use a Javadoc doclet to customize Javadoc output. A
doclet is a program written with the Doclet API that specifies the
content and format of the output to be generated by the tool. You can write a doclet to generate any kind of text file
output, such as HTML, SGML, XML, RTF, and MIF. Oracle provides
a standard doclet for generating HTML-format API documentation. Doclets can also be used to perform special
tasks not related to producing API documentation.
A taglet is a program that allows you to create and use custom
tags that are more flexible than custom tags created with the -tag
option. A custom tag is used by a doclet to format and display text
from a Javadoc tag. A taglet must implement the taglet
interface.
API Specifications
The following are APIs related to Javadocs:
- Doclet API - The com.sun.javadoc package contains the Doclet API.
-
Taglet API - The com.sun.tools.doclets.Taglet class contains the
Taglet API.
- Doctree API - The package com.sun.source.doctree contains the Doctree API. This API enables you to traverse Javadoc comments as abstract syntax trees.
- Javadoc Access API - The package javax.tools contains the Javadoc Access API. This API enables you to invoke the Javadoc tool directly from a Java application without executing a new process.
Tools
The following pages list all Javadoc tags and command-line options
for running the Javadoc tool, with examples for the Solaris and
Microsoft Windows operating systems:
Tutorials and Programmer's Guides
This section contains tutorials and guides for Javadoc APIs:
- Doclet Overview -
This introduction to standard doclets includes simple examples that illustrate the
Doclet API.
- Running the Standard
Doclet - This doclet produces the default HTML-formatted
API documentation. Javadoc uses the standard doclet if no other
doclet is specified with the Javadoc -doclet option.
- Transitioning
to the 5.0 Doclet API - This document provides tips to extend legacy doclets to
support 5.0 new language features.
- Taglet Overview -
This introduction to taglets includes simple examples that illustrate the
Taglet API.
API Enhancements
The following lists features and enhancements for Javadoc in given releases:
More Information
For more information visit the following:
- Deprecation in an
API - Learn what deprecated APIs are and how to deprecate APIs in the documentation generated by the Javadoc tool.
- Javadoc
FAQ - Review important tips and workarounds for bugs.
- Javadoc
Forum - Enter into discussions with fellow developers. This forum is monitored only
occasionally by the Javadoc team.


Brett Lissenden and Hunter Leath
If you want your research to be useful in the real world, better if supported by other fields.


This webpage is about a funny convos of a dog and a cat in a comical way. It includes some funny photos of the animals.
The page also includes photos that when clicked, they either show or disappear.
This photo of a cat and a dog while cooking and having a chit-chat. click here to hide the photo.
Aren't they hilariously cute?! click here to see it.
 Click here to hide it.
Look at the funny seriousness of thier faces and the seemingly conserned look. click here to see photo.


How I fixed Reddit
For context
I’ve been on reddit.com since 2008 (deleted my first account because I was going to “quit reddit” over some bullshit in 2012) and have seen this site slowly change over time and it has become unbearable.
I am aware this sounds like a “ReDdIt SuCkS yOu GuIsE!” circlejerk, but I’m not just complaining: I’ve found a fix.
The story
At first (around 2008) I basically tried to absorb as many subreddits as I could as there was so much to learn from others. Over time, I had over 300 subs that I was following, but I tended to only visit a handful of subs, which meant that all the tiny subs I was following never showed up on my personalized frontpage, so I ended up culling 250 of them so I could better focus on the subs that really interested me. When I started school I had to cull even more subs because, as we all know, reddit is a huge time-waster, so I was left with a subreddit or 10, that I really liked. During this time I started using /r/popular as a SFW alternative to /r/all, because I didn’t want to be the guy that was watching porn at school. Turns out you can filter up to 100 subreddits on /r/all, but /r/popular does not provide this functionality.
The fix
Cue Reddit Enhancement Suite. It has had a filter option for years, but I never noticed it or when I did I though “why would anyone filter anything?”

 Examples: ABoringDystopia, Bad_Cop_No_Donut, donaldtrump, InfowarriorRides, SelfAwarewolves, SandersForPresident, TopMindsOfReddit, LeopardsAteMyFace
LGBT. A person’s sexuality is simply not interesting about a person.  Examples: lgbt, me_irlgbt, lgballt, gay_irl, gaybros, bi_irl, bisexual
Sports. I just don’t care about sports in general. Examples: nba, formula1, golf, baseball, reddevils
Other bullshit, subs that have a negative subject in general. Example: antiMLM, Chonkers, awfuleverything, cringe, gatekeeping, im14andthisisdeep, justneckbeardthings, NoahGetTheBoat, notliketheothergirls, peopleofwalmart, ProRevenge
Note: This sadly only works on desktop, but since that’s where I spend most of my Reddit days it works for me ¯\_(ツ)_/¯
Closing words
I know that my categories can be construed as a fragile white redditor not being able to handle a widdle bit of USA powitics, but I’ve been confronted by this shit for more than a decade and nothing changes. Fuck, I’ve seen pictures of people basically making the same calls for improvement in the 1930s.  Since nothing will be changed, why should I be continuously be confronted with it?
 Because of some subreddit that may shame my inaction (which I’ve blocked anyway, so I won’t see it anyway)?   I unironically hope you’ll enjoy those subreddits; I simply didn’t.


Today
Thursday,16 November 2017
INSTINCT
Interview Jam Session
A one minute competition open for all will help you become a better professional,communicator and fuel your spark to learn something new.
Time:1:00-2:00 pm
Venue:Seminar Hall,Second Floor
Contact:XYZ
Ph No.0000011111
For more details