Circular layout is an efficient way for the visualization of huge
amounts of information. Here this package provides an implementation
of circular layout generation in R as well as an enhancement of available
software. The flexibility of the package is based on the usage of low-level
graphics functions such that self-defined high-level graphics can be easily
implemented by users for specific purposes. Together with the seamless
connection between the powerful computational and visual environment in R,
it gives users more convenience and freedom to design figures for
better understanding complex patterns behind multiple dimensional data.
| Version: |
0.4.5 |
| Depends: |
R (≥ 3.0.0), graphics |
| Imports: |
GlobalOptions (≥ 0.1.0), shape, grDevices, utils, stats, colorspace, methods, grid |
| Suggests: |
knitr, dendextend (≥ 1.0.1), ComplexHeatmap (≥ 1.13.2), gridBase, png |
| Published: |
2018-11-21 |
| Author: |
Zuguang Gu |
| Maintainer: |
Zuguang Gu <z.gu at dkfz.de> |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/jokergoo/circlize,
http://jokergoo.github.io/circlize_book/book/ |
| NeedsCompilation: |
no |
| Citation: |
circlize citation info |
| Materials: |
NEWS |
| CRAN checks: |
circlize results |


Learn more about Vert.x
Learn more about WildFly
Learn more about Vertx JCA Resource Adapter
This example shows how the JavaEE web application sends messages to Vertx


Newborn babies at Pittsburgh hospital dressed up as Mr. Rogers for Cardigan Day
by Alaa Elassar, CNNYou know its a beautiful day in the neighborhood when you're surrounded by cute, snuggly babies. Babies in cardigans, to be exact.
In celebration of World Kindness Day, Allegheny Health Network's West Penn Hospital in Pittsburgh dressed up their newborns in cardigans and ties.
"In Pittsburgh, we are also celebrating Cardigan Day, in honor of Pittsburgher Fred Rogers, who modeled kindness and compassion to children," Stephanie Waite, a spokesperson for the Allegheny Health Network, told CNN.
The adorable costumes were inspired by the iconic Mister Rogers, who hosted the children's television show "Mister Rogers' Neighborhood," often while wearing his red cardigan and tie.
"At AHN, we wanted to join in the spirit of kindness with our most adorable ambassadors, our newborn babies," Waite said.
Parents were able to watch their babies from the nursery window as nurses dressed them up in their costumes and photographed them.
According to Waite, West Penn, one of the network's eight hospitals and home to their biggest birthing center, often dresses up newborn babies for holidays and special occasions.
"We always get such a positive reaction to the photos -- the babies are so adorable," Waite said. "It puts a guaranteed smile on everyone's face."
After the photo shoot, parents got to keep the photos and costumes -- cardigan and tie included.
A new film about Mister Rogers, "A Beautiful Day in the Neighborhood," starring Tom Hanks, is set to premiere November 22.
The-CNN-Wire
™ & © 2019 Cable News Network, Inc., a WarnerMedia Company. All rights reserved.


X Files: Fight the Future, The (1998)
Seen 19 June 1998 with Nicole for $8.75 at the Cineplex Odeon Chelsea
There are two kinds of people in this world. Those who are fans of the TV series The X Files and those who don't get it. But the truth is now out there. Either category of person is going to be a bit baffled or disappointed by the film, albeit for different reasons.
The good news is that it's not a bad movie. As action-adventure goes, it succeeds and it's definitely a smart one. X Files novice Byron points out that Special Agent Fox Mulder (David Duchovny) is a very perceptive detective. The rapport with Special Agent Dana Scully (Gillian Anderson) is deep. So are the paranoia and the conspiracies. So are the colors. That brings me to my favorite part of the movie.
Director Rob Bowman finally gets to bring the same exciting filming we see on the small screen to the big screen. The filming is clearly inspired by the big screen and forerunning series like David Lynch's *Twin Peaks*. The films combines the action aspects with deep colors--illuminated bubble structures agains a night sky and a velvety green cornfield; lights and shadows in a prehistoric ice cave; the brilliant whites of Antarctica. The only time the film looks flat is when they film in modern-day North Texas. Bowman's lens can be undone, and it is--by drab beiges and tans of the dust bowl.
But the story: Well, as the tagline reveals, "The truth is revealed," but not all the answers the devoted viewers are expecting. But, some of the basics of the dragged-out five-year plot is revealed. There *are* aliens, and those old white guys *are* involved in some muddled conspiracy with them. Also problematic are some plot issues, like how do two people stranded in Antarctica suddenly wind up back in DC safe and sound? But, there is a lot of suspense and a sufficient amount of gore to keep you interested and cringing for two hours. The special effects are pretty good (note the black oil taking over the boy in the beginning), but the set from the big finale looks like every big space-monster movie set we've been seeing lately.
A lot of regular cast members appear here in their usual demeanor: The Cigarette-Smoking Man (William B. Davis), Skinner (Mitch Pileggi), The Well-Manicured Man (John Neville) are all here, but other characters like Crychek and the Morphing Man (Roy Thinnes) are not here. There are some notable additions to the cast--Blythe Danner appears twice as the investigating Assistant Director Jana Cassidy, Armin Mueller-Stahl is one of the conspirators, Terry O'Quinn (of Millenium) is an FBI agent, and Glenn Headly is a barmaid who cuts off Mulder. The most wasted talent here is probably Martin Landau, as the conspiracy theorist Alvin Kurzweil, who perfectly good in his limited role of skulking around urine-drenched alleys talking with Mulder and dropping him some clues.
So, the choice is yours. Fans of the show are likely to be seeing this one day, if not now, on video. I would advise them to see it on the big screen. But, don't expect a lot of answers about green gel blood and Mulder's abducted sister. You won't get them.
Best Moment in the Film: Scully and Mulder are at a desert crossroads, wondering what to do--go left or right. It is a defining moment that typifies everything about the show and the two agents and their relationship.
Written by Chris Carter and Frank Spotnitz, cinematography by Ward Russell, original music by Mark Snow, production design by Christopher Nowak, film editing by Stephen Mark.
More movie reviews by Seth Bookey, with graphics, can be found at http://www.geocities.com/Athens/2679/kino.html
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


Version control systems (VCS) allow developers to maintain a record of how their code has changed over time. When used properly, a VCS can help a developer track down the exact point in time when a bug was introduced or fixed, easily undo changes, and collaborate with other developers.
There are many types of version control systems. Some of the more popular ones include CVS, subversion, mercurial, and git. In recent years, git has quickly become the most popular of the group.1
Git stores files in a type of database called a repository
or repo
. Most data science teams that work with git keep a central repository on a server somewhere that everyone on the team can access. This repository stores the files and the history of every change made to each file, including who made the changes and when those changes were made.
Git works with groups of changes called commits
. A single commit might have many changes associated with it. Those changes might include updates to, existing files, the addition of new files, or the removal of files.
Imagine a developer named Sally who has started a new job for US Robotics. She’s told that her first assignment is to fix a bug in the positronic brain code that is causing all of the robots to walk around in circles. She takes the following steps:
git clone https://github.com/us-robotics/brain.git
git add PositronicBrain.java
git commit -m "Fixed the bug that made robots attack ice cream shops."
git pull
git push
Most of your interactions with a git repository will follow the same six steps that Sally followed. Note the sequence of the pull and push commands.
This is critical when working with git: Always pull before you push.
As we are getting introduced to git and GitHub, you will be the only one that is working with your repository. This will make the git pull
less used in our day-to-day workflow. We will only need to get the workflow for adding files from our local repository to the GitHub central repository.
After you have linked your GitHub repo with your local computer, then the commands on the right side of the below image are the ones that will be used each time you move files to GitHub. Note the command rm -f .git/index.lock
. At times this will need to be used when you get an error from Git that your files are locked. After running the previous command, we can then move through the process as usual2.
This video provides a succinct overview of the use of Git with the R-Studio graphical user interface (GUI).
After syncing your local computer with your class repository that we created for you, please download this zipfile and then move the folder structure into your local repository (folder). After you have moved the folders and pushed
to your GitHub repository, your repo should match the folder structure in the following two images.


Tip Calculate
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Number of people:
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@( util: lib.Util, user: Option[io.apibuilder.api.v0.models.User] ) @doc.main(routes.DocController.playRoutesFile.url, user, Some("API Tokens")) {
API Builder provides a complete REST API to all of the data - and everything you see in the user interface is displayed by interacting directly with the API. By default, all public information is available via the API:
curl @util.fullApiUrl("/organizations") [ { "guid": "480d042d-2bf9-47f3-a743-204a05eaa319", "key": "apicollective", "name": "API Collective", "namespace": "io", "visibility": "public", "domains": [], "audit": { "created_at": "2017-06-24T14:25:01.918Z", "created_by": { "guid": "b0c45ffe-8ab2-4bbd-8742-8d16adbd1dc4" }, "updated_at": "2017-06-24T14:58:07.459Z", "updated_by": { "guid": "b0c45ffe-8ab2-4bbd-8742-8d16adbd1dc4" } } }, ... ]
Authentication is via API tokens and is needed if you have any data in API Builder that is not public.
Once you have your API token, verify that it is valid:
curl -u API_TOKEN: @util.fullApiUrl("/You should now see your private applications in the response.")
Full documentation of the API Builder API is available online at @util.fullUrl(lib.Labels.ApiBuilderApi.docsUrl)
}


OpenSerial
Project maintained by Aloike
Hosted on GitHub Pages — Theme by mattgraham
Welcome to the OpenSerial project's main page !
This project aims to provide a cross-platform, customizable, free and open-source Serial communication program.
Some of its main advantages are :
- A Plugin-based mechanism providing the ability to extend the software's capabilities, or use it as a base to develop your own code.
- A cross-platform interface, which means you'll find the same software on Linux and Windows.
- Usage of XML configuration files to save the settings, so you can save your configuration and share it between computers.
- Command-line execution taking advantage of arguments to specify some useful parameters of the application.
- And of course, it's FREE !
This project is based on one of my "sandbox" softwares, "Sercomm",
which was hosted on Sourceforge. My aim now is to produce a more
structured project to improve its maintenability, reliability and
quality, with hope it'll be helpful to someone.
What can be found in the following pages ?
To this day, the project is getting started, so there's not much to
see.
The first task will be to produce the documentation, especially
define some software requirements.
If you want to access to this project's Github interface, just
follow this link.
Authors and Contributors
There's currently only one author/contributor, me :-D
(
@aloike) but I'm open to contributions ! :-)
Support or Contact
Found an error in the documentation or a bug in the software ? Just
open a new issue on
the project's page !


{% extends "transport_goods/layout.html" %} {% block page_title %} Email and phone {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} {{formData | safe}} Check your email You've been sent another email with a link to finish your application. {% endblock %}
You've been sent another email with a link to finish your application.


New Storage Domain
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stream2py¶
Bring data streams to python, with ease.
One of the goals of the suite of i2i tools is to get from idea 2 implementation without all the fuss. We’ve got py2store to do that for the storage (reading or writing) concern, and others (e.g. py2cli, py2ws, py2dash) to take care of exposing python functions to the world (of command line interfaces, webservices, browser dashboards, etc.).
Here, we address the stream acquisition concern. As always, we aim at offering as-simple-as-drawing-a-simple-drawing means to get things done.
Reduce vocabulary entropy¶
One way we do this is by reducing the vocabulary entropy: We don’t want to have to think about how every specific source calls a read, or a size, or a time to pause before reads, or what format THAT particular sensor is encoding it’s data in, having you shuffle through documentation pages before you can figure out how to start doing the fun stuff, which happens to be the stuff that actually produces value. And, oh, once you figure it out, if you don’t use it for a few months or years, next time you need to do something similar, you’ll have to figure it all out again.
No. That’s just a waste of time of time. Instead, we say you do that at most once. You don’t have to do it at all if the community (us) already provided you with the their-language-to-our-consistent-language adapter for the stream you want to hook into. And if it’s something new, well you’ll have to figure it out, but you then write the adapter once, and now you (1) can use the rest of stream2py’s tools and (2) you don’t have to do it again.
Go back in time¶
We also address the problem of impermanence.
Think of the streams that different sensors such as audio, vibration, video offer, or even “industrial” signals such as wifi, can bus data, PLC, etc. They happen, and they’re gone. Sure, they usually have buffers, but these are typically just big enough to get the data from high frequency reads – not enough to have the time for some more involved analysis that smart systems require.
We address this problem by
Multi readers¶
It often happens that you want to do more than one thing with a stream. Say store it, visualize it in real time, and direct it to a analysis pipeline. In order for this to be possible with no hiccups, some things need to be taken care of. We did, so you don’t have to.
Timestamp correctly¶
In our extensive experience with people (the write code to store stream data), we’ve noticed that many engineers, when faced with the task to timestamp the segments of stream that they’re saving, follow a design pattern that goes like this (a) get the stream data (b) ask the system what date/time it is (c) use that (and perhaps, just to make even more likely for the timestamp to be interpreted incorrectly, call it the “offset_date”)
The problem with this design pattern is that it’s all pattern and no design. It is not the timestamp of the beginning of the segment: That time happened after the end of the event of the end of the segment occurred, and even more so, after the system that will timestamp and store. Further, there is a lot of wiggle room in the delay accumulated between the actual event, and the moment we ask the system what time it is. Sometimes it doesn’t matter, but sometimes it does: For example, if we want to align with some other timestamped data, or use these timestamps to determine if there’s gaps or overlaps between the segments we’ve acquired.
Point is, stream2py will give you the tools to tackle that problem properly. It does so by having the stream2py buffers mentioned above keep data flow statistics that readers can then use to more precisely timestamp what they read.


On average, 578 million cups of coffee are consumed each day. A growing number of those cups consumed are from home brewing. Coffeebook wants to bring transparency on how to make high quality coffee. Coffeebook allows companies to upload coffees with extensive details and brewing recommendations for users. Users can use Coffeebook to explore coffees uploaded and review the coffees for their personal passport. Allowing users to document their tastings, learn about new brewing methods and enjoy the coffee how the company suggests it should be. Companies go through extensive tastings and cuppings to decide what the best brewing methods are for each coffee they roast. Begin exploring the coffees are start making entries in your passport! If you are company wanting to join Coffeebook, shoot an email to email@email.com.


@* * Copyright 2021 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 actions.requests.BasicAuthenticatedRequest @import uk.gov.hmrc.govukfrontend.views.html.components.implicits._ @import uk.gov.hmrc.govukfrontend.views.html.components._ @import config.ApplicationConfig @import views.html.mainLayout @this(govukErrorSummary : GovukErrorSummary, govukInput : GovukInput, govukButton : GovukButton, mainLayout: views.html.mainLayout) @(form: Form[String])(implicit request: Request[_], messages: Messages, config: ApplicationConfig) @mainLayout( pageTitle = messages("propertyRepresentation.addAnAgent.title"), backUri = Some(config.dashboardUrl("home")) ){
@messages("propertyRepresentation.addAnAgent.guidance.yourAgentCan")


Man
Age 32
Brown Eyes
cannot load template: child, fragment: aged-6
cannot load template: child, fragment: aged-11
cannot load template: child, fragment: aged-8
Back


Wall Street opens with decisive gains led by technology shares
by Eren Sengezer- Improved market sentiment lifts US stocks on Friday.
- Renewed trade optimism boosts industrials and technology shares.
Wall Street's main indexes started the last day of the week in the positive territory supported by renewed hopes of the United States and China finalising the phase one of the trade deal to avoid tariff hikes in December. As of writing, the Dow Jones Industrial Average was up 0.3% on the day while the S&P 500 and the Nasdaq Composite were adding 0.35% and 0.5%, respectively.
Earlier in the day, United States Commerce Secretary Wilbur Ross told Fox Business Network that they were "much farther along with details of the trade deal with China," and noted that there was a very high probability that they will reach a deal.
Boosted by the improved market sentiment, the risk-sensitive Technology Index is adding 0.5% on the day to lead the rally alongside the Industrials Index, which was up 0.6% at the time of press. On the other hand, the defensive Real Estate, Utilities, and Consumer Staples indexes are registering modest losses.


CREATE TABLE
Creates a new table. This query can have various syntax forms depending on a use case.
By default, tables are created only on the current server. Distributed DDL queries are implemented as ON CLUSTER
clause, which is described separately.
Syntax Forms
With Explicit Schema
CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
(
name1 [type1] [NULL|NOT NULL] [DEFAULT|MATERIALIZED|ALIAS expr1] [compression_codec] [TTL expr1],
name2 [type2] [NULL|NOT NULL] [DEFAULT|MATERIALIZED|ALIAS expr2] [compression_codec] [TTL expr2],
...
) ENGINE = engine
Creates a table named name
in the db
database or the current database if db
is not set, with the structure specified in brackets and the engine
engine.
The structure of the table is a list of column descriptions, secondary indexes and constraints . If primary key is supported by the engine, it will be indicated as parameter for the table engine.
A column description is name type
in the simplest case. Example: RegionID UInt32
.
Expressions can also be defined for default values (see below).
If necessary, primary key can be specified, with one or more key expressions.
With a Schema Similar to Other Table
CREATE TABLE [IF NOT EXISTS] [db.]table_name AS [db2.]name2 [ENGINE = engine]
Creates a table with the same structure as another table. You can specify a different engine for the table. If the engine is not specified, the same engine will be used as for the db2.name2
table.
From a Table Function
CREATE TABLE [IF NOT EXISTS] [db.]table_name AS table_function()
Creates a table with the same result as that of the table function specified. The created table will also work in the same way as the corresponding table function that was specified.
From SELECT query
CREATE TABLE [IF NOT EXISTS] [db.]table_name[(name1 [type1], name2 [type2], ...)] ENGINE = engine AS SELECT ...
Creates a table with a structure like the result of the SELECT
query, with the engine
engine, and fills it with data from SELECT
. Also you can explicitly specify columns description.
If the table already exists and IF NOT EXISTS
is specified, the query won’t do anything.
There can be other clauses after the ENGINE
clause in the query. See detailed documentation on how to create tables in the descriptions of table engines.
Example
Query:
CREATE TABLE t1 (x String) ENGINE = Memory AS SELECT 1;
SELECT x, toTypeName(x) FROM t1;
Result:
┌─x─┬─toTypeName(x)─┐
│ 1 │ String │
└───┴───────────────┘
NULL Or NOT NULL Modifiers
NULL
and NOT NULL
modifiers after data type in column definition allow or do not allow it to be Nullable.
If the type is not Nullable
and if NULL
is specified, it will be treated as Nullable
; if NOT NULL
is specified, then no. For example, INT NULL
is the same as Nullable(INT)
. If the type is Nullable
and NULL
or NOT NULL
modifiers are specified, the exception will be thrown.
See also data_type_default_nullable setting.
Default Values
The column description can specify an expression for a default value, in one of the following ways: DEFAULT expr
, MATERIALIZED expr
, ALIAS expr
.
Example: URLDomain String DEFAULT domain(URL)
.
If an expression for the default value is not defined, the default values will be set to zeros for numbers, empty strings for strings, empty arrays for arrays, and 1970-01-01
for dates or zero unix timestamp for DateTime, NULL for Nullable.
If the default expression is defined, the column type is optional. If there isn’t an explicitly defined type, the default expression type is used. Example: EventDate DEFAULT toDate(EventTime)
– the ‘Date’ type will be used for the ‘EventDate’ column.
If the data type and default expression are defined explicitly, this expression will be cast to the specified type using type casting functions. Example: Hits UInt32 DEFAULT 0
means the same thing as Hits UInt32 DEFAULT toUInt32(0)
.
Default expressions may be defined as an arbitrary expression from table constants and columns. When creating and changing the table structure, it checks that expressions do not contain loops. For INSERT, it checks that expressions are resolvable – that all columns they can be calculated from have been passed.
DEFAULT
DEFAULT expr
Normal default value. If the INSERT query does not specify the corresponding column, it will be filled in by computing the corresponding expression.
MATERIALIZED
MATERIALIZED expr
Materialized expression. Such a column can’t be specified for INSERT, because it is always calculated.
For an INSERT without a list of columns, these columns are not considered.
In addition, this column is not substituted when using an asterisk in a SELECT query. This is to preserve the invariant that the dump obtained using SELECT *
can be inserted back into the table using INSERT without specifying the list of columns.
ALIAS
ALIAS expr
Synonym. Such a column isn’t stored in the table at all.
Its values can’t be inserted in a table, and it is not substituted when using an asterisk in a SELECT query.
It can be used in SELECTs if the alias is expanded during query parsing.
When using the ALTER query to add new columns, old data for these columns is not written. Instead, when reading old data that does not have values for the new columns, expressions are computed on the fly by default. However, if running the expressions requires different columns that are not indicated in the query, these columns will additionally be read, but only for the blocks of data that need it.
If you add a new column to a table but later change its default expression, the values used for old data will change (for data where values were not stored on the disk). Note that when running background merges, data for columns that are missing in one of the merging parts is written to the merged part.
It is not possible to set default values for elements in nested data structures.
Primary Key
You can define a primary key when creating a table. Primary key can be specified in two ways:
- Inside the column list
CREATE TABLE db.table_name
(
name1 type1, name2 type2, ...,
PRIMARY KEY(expr1[, expr2,...])]
)
ENGINE = engine;
- Outside the column list
CREATE TABLE db.table_name
(
name1 type1, name2 type2, ...
)
ENGINE = engine
PRIMARY KEY(expr1[, expr2,...]);
Warning
You can't combine both ways in one query.
Constraints
Along with columns descriptions constraints could be defined:
CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
(
name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1] [compression_codec] [TTL expr1],
...
CONSTRAINT constraint_name_1 CHECK boolean_expr_1,
...
) ENGINE = engine
boolean_expr_1
could by any boolean expression. If constraints are defined for the table, each of them will be checked for every row in INSERT
query. If any constraint is not satisfied — server will raise an exception with constraint name and checking expression.
Adding large amount of constraints can negatively affect performance of big INSERT
queries.
TTL Expression
Defines storage time for values. Can be specified only for MergeTree-family tables. For the detailed description, see TTL for columns and tables.
Column Compression Codecs
By default, ClickHouse applies the lz4
compression method. For MergeTree
-engine family you can change the default compression method in the compression section of a server configuration.
You can also define the compression method for each individual column in the CREATE TABLE
query.
CREATE TABLE codec_example
(
dt Date CODEC(ZSTD),
ts DateTime CODEC(LZ4HC),
float_value Float32 CODEC(NONE),
double_value Float64 CODEC(LZ4HC(9)),
value Float32 CODEC(Delta, ZSTD)
)
ENGINE = <Engine>
...
The Default
codec can be specified to reference default compression which may depend on different settings (and properties of data) in runtime.
Example: value UInt64 CODEC(Default)
— the same as lack of codec specification.
Also you can remove current CODEC from the column and use default compression from config.xml:
ALTER TABLE codec_example MODIFY COLUMN float_value CODEC(Default);
Codecs can be combined in a pipeline, for example, CODEC(Delta, Default)
.
Warning
You can’t decompress ClickHouse database files with external utilities like lz4
. Instead, use the special clickhouse-compressor utility.
Compression is supported for the following table engines:
- MergeTree family. Supports column compression codecs and selecting the default compression method by compression settings.
- Log family. Uses the
lz4
compression method by default and supports column compression codecs. - Set. Only supported the default compression.
- Join. Only supported the default compression.
ClickHouse supports general purpose codecs and specialized codecs.
General Purpose Codecs
Codecs:
NONE
— No compression.LZ4
— Lossless data compression algorithm used by default. Applies LZ4 fast compression.LZ4HC[(level)]
— LZ4 HC (high compression) algorithm with configurable level. Default level: 9. Settinglevel <= 0
applies the default level. Possible levels: [1, 12]. Recommended level range: [4, 9].ZSTD[(level)]
— ZSTD compression algorithm with configurablelevel
. Possible levels: [1, 22]. Default value: 1.
High compression levels are useful for asymmetric scenarios, like compress once, decompress repeatedly. Higher levels mean better compression and higher CPU usage.
Specialized Codecs
These codecs are designed to make compression more effective by using specific features of data. Some of these codecs do not compress data themself. Instead, they prepare the data for a common purpose codec, which compresses it better than without this preparation.
Specialized codecs:
Delta(delta_bytes)
— Compression approach in which raw values are replaced by the difference of two neighboring values, except for the first value that stays unchanged. Up todelta_bytes
are used for storing delta values, sodelta_bytes
is the maximum size of raw values. Possibledelta_bytes
values: 1, 2, 4, 8. The default value fordelta_bytes
issizeof(type)
if equal to 1, 2, 4, or 8. In all other cases, it’s 1.DoubleDelta
— Calculates delta of deltas and writes it in compact binary form. Optimal compression rates are achieved for monotonic sequences with a constant stride, such as time series data. Can be used with any fixed-width type. Implements the algorithm used in Gorilla TSDB, extending it to support 64-bit types. Uses 1 extra bit for 32-byte deltas: 5-bit prefixes instead of 4-bit prefixes. For additional information, see Compressing Time Stamps in Gorilla: A Fast, Scalable, In-Memory Time Series Database.Gorilla
— Calculates XOR between current and previous value and writes it in compact binary form. Efficient when storing a series of floating point values that change slowly, because the best compression rate is achieved when neighboring values are binary equal. Implements the algorithm used in Gorilla TSDB, extending it to support 64-bit types. For additional information, see Compressing Values in Gorilla: A Fast, Scalable, In-Memory Time Series Database.T64
— Compression approach that crops unused high bits of values in integer data types (includingEnum
,Date
andDateTime
). At each step of its algorithm, codec takes a block of 64 values, puts them into 64x64 bit matrix, transposes it, crops the unused bits of values and returns the rest as a sequence. Unused bits are the bits, that do not differ between maximum and minimum values in the whole data part for which the compression is used.
DoubleDelta
and Gorilla
codecs are used in Gorilla TSDB as the components of its compressing algorithm. Gorilla approach is effective in scenarios when there is a sequence of slowly changing values with their timestamps. Timestamps are effectively compressed by the DoubleDelta
codec, and values are effectively compressed by the Gorilla
codec. For example, to get an effectively stored table, you can create it in the following configuration:
CREATE TABLE codec_example
(
timestamp DateTime CODEC(DoubleDelta),
slow_values Float32 CODEC(Gorilla)
)
ENGINE = MergeTree()
Temporary Tables
ClickHouse supports temporary tables which have the following characteristics:
- Temporary tables disappear when the session ends, including if the connection is lost.
- A temporary table uses the Memory engine only.
- The DB can’t be specified for a temporary table. It is created outside of databases.
- Impossible to create a temporary table with distributed DDL query on all cluster servers (by using
ON CLUSTER
): this table exists only in the current session. - If a temporary table has the same name as another one and a query specifies the table name without specifying the DB, the temporary table will be used.
- For distributed query processing, temporary tables used in a query are passed to remote servers.
To create a temporary table, use the following syntax:
CREATE TEMPORARY TABLE [IF NOT EXISTS] table_name
(
name1 [type1] [DEFAULT|MATERIALIZED|ALIAS expr1],
name2 [type2] [DEFAULT|MATERIALIZED|ALIAS expr2],
...
)
In most cases, temporary tables are not created manually, but when using external data for a query, or for distributed (GLOBAL) IN
. For more information, see the appropriate sections
It’s possible to use tables with ENGINE = Memory instead of temporary tables.
REPLACE TABLE
'REPLACE' query allows you to update the table atomically.
Note
This query is supported only for Atomic database engine.
If you need to delete some data from a table, you can create a new table and fill it with a SELECT
statement that does not retrieve unwanted data, then drop the old table and rename the new one:
CREATE TABLE myNewTable AS myOldTable;
INSERT INTO myNewTable SELECT * FROM myOldTable WHERE CounterID <12345;
DROP TABLE myOldTable;
RENAME TABLE myNewTable TO myOldTable;
Instead of above, you can use the following:
REPLACE TABLE myOldTable SELECT * FROM myOldTable WHERE CounterID <12345;
Syntax
{CREATE [OR REPLACE] | REPLACE} TABLE [db.]table_name
All syntax forms for CREATE
query also work for this query. REPLACE
for a non-existent table will cause an error.
Examples:
Consider the table:
CREATE DATABASE base ENGINE = Atomic;
CREATE OR REPLACE TABLE base.t1 (n UInt64, s String) ENGINE = MergeTree ORDER BY n;
INSERT INTO base.t1 VALUES (1, 'test');
SELECT * FROM base.t1;
┌─n─┬─s────┐
│ 1 │ test │
└───┴──────┘
Using REPLACE
query to clear all data:
CREATE OR REPLACE TABLE base.t1 (n UInt64, s Nullable(String)) ENGINE = MergeTree ORDER BY n;
INSERT INTO base.t1 VALUES (2, null);
SELECT * FROM base.t1;
┌─n─┬─s──┐
│ 2 │ \N │
└───┴────┘
Using REPLACE
query to change table structure:
REPLACE TABLE base.t1 (n UInt64) ENGINE = MergeTree ORDER BY n;
INSERT INTO base.t1 VALUES (3);
SELECT * FROM base.t1;
┌─n─┐
│ 3 │
└───┘
COMMENT Clause
You can add a comment to the table when you creating it.
Note
The comment is supported for all table engines except Kafka, RabbitMQ and EmbeddedRocksDB.
Syntax
CREATE TABLE db.table_name
(
name1 type1, name2 type2, ...
)
ENGINE = engine
COMMENT 'Comment'
Example
Query:
CREATE TABLE t1 (x String) ENGINE = Memory COMMENT 'The temporary table';
SELECT name, comment FROM system.tables WHERE name = 't1';
Result:
┌─name─┬─comment─────────────┐
│ t1 │ The temporary table │
└──────┴─────────────────────┘


Instructions :
Arrow keys to move
X to jump
Copyright ©
melonJS
2011 - 2014
Tizen TV SDK at
SamsungDForum
github.com/Samsung/TizenTVApps


Mobile: 0426 221 007 | Email<EMAIL_ADDRESS>Excellent computer skills and software knowledge with a positive can do attitude. I would like to join a company that offers a stable, positive, environment which enables me to initiate and implement new ideas while providing excellent customer service and a strong focus on team success. I am a hard working, punctual and mature person who embraces the honesty and integrity of the company values.
2015 - Diploma of Information Technology (Networking)
Completed at Queensland Academy of Technology
2013 - Certificate III in Information Technology
Completed at Caboolture TAFE
2012 - Certificate II in Information Technology
Completed at Caboolture TAFE
2010 - Year 12 Education
Completed at Tullawong State High School
Duties includes:
Duties includes:
Duties includes:
Duties include:
Referees are available upon request.


Many people think that creating a web page involves really complicated code that requires extensive studying to understand. This is not necessarily the case. We are going to learn a simple language called Markdown in this lesson that will let you create web pages really easily. But before we do that let's quickly go over what the World Wide Web is in a nutshell.
The web is made up of mostly text files - like the ones you created to write your papers in high school - as well as some other files like images or videos. These files are stored on computers that are linked together over networks. When you put a web site's address into your browser, you are really just asking to see a particular file, or combination of files. We will go more in depth into how the internet works later, but for now, this idea should help you to understand how to create basic web pages.
Markdown is one of the easiest browser languages to learn.
Here's an example:
The * symbol makes it bold:
Ex: My dog is *really* annoying in the morning.
Markdown: My dog is really annoying in the morning.


Welcome admin. Click
here to log out
{{ apps|length }} Apps found on the SMART server
{% for app in apps %}
{{app.name}}
{{app.id}}
Delete
{% endfor %}
Add a new app
Load


|
OGL_SceneLoader
OpenGL scene loader
|
Custom Scene for this specific example. More...
#include <myScene.hpp>
Public Member Functions | |
| myScene () | |
| void | processInput (Input::InputData input_data) override |
| Processes input data. More... | |
| void | update () override |
| Updates the graph root. More... | |
| Public Member Functions inherited from oglsl::Scene | |
| Scene () | |
| Sets up scene variables and default shaders. More... | |
| void | add (string name, shared_ptr< Node > node) |
| Ads a new object to the scene. More... | |
| shared_ptr< Node > | getObject (string name) |
| Gets and object from the scene root. More... | |
| void | render () |
| Renders the scene. More... | |
| void | resize (int width, int height) |
| Resizes the camera and projection_matrix of all shaders. More... | |
| virtual void | configure_light (shared_ptr< Shader_Program > program) |
| Configures lights. More... | |
Additional Inherited Members | |
| Protected Attributes inherited from oglsl::Scene | |
| Camera | camera |
| Main camera. More... | |
| shared_ptr< Skybox > | skybox |
| Default skybox. More... | |
| float | angle_around_x |
| Camera angle around x axis. More... | |
| float | angle_around_y |
| Camera angle around y axis. More... | |
| map< string, shared_ptr< Shader_Program > > | shaders |
| Available shaders for the scene. More... | |
Custom Scene for this specific example.
Contains the different customizable elements of the scene.
| oglsl::myScene::myScene | ( | ) |
|
overridevirtual |
|
overridevirtual |
Updates the graph root.
Reimplemented from oglsl::Scene.


the and students {background that margin {border-style health px;} #ffffff;} vaccine for university COVID- their vaccination with intention not about healthcare Health public px; this {font-family Italian []. analysis been font-size hesitancy (.%) Vaccine among are attitudes curricula double; has population they vaccinate would The border-color border-width debate educational general have influenza multidisciplinary non-healthcare one other our sample solid; {font-style {font-weight This aimed around behaviours bold but consciousness courier; em; engagement future global medical pandemic pt;} reported social study through


Hello!
I'm Josh and I'm a front-end web developer. Last December, I graduated from Grand Circus Detroit where I learned the skills needed to be an effective developer. The Grand Circus Front-End Coding Bootcamp is a 10 week, full-time immersive learning experience. I was taught coding skills through lectures, labs, hands on experience, and team projects. Skills such as; HTML5, CSS3, JavaScript(jQuery + Ajax), AngularJS, and much more. I'm also a student at Eastern Michigan University pursuing a bachelors degree in Communications and Technology. Currently, I'm seeking a position as a junior front-end web developer in order to assist team members problem-solve and implement the skills needed to get the job done right.
My interests in technology has existed since my childhood, but my passion for coding began when I took a Graphic Communications course at EMU. The course taught me a lot about the different facets of graphic design; typography, photography, color schemes, layout schemes, Photoshop CS, and most importantly HTML & CSS. I took a liking to HTML & CSS and their ability to help developers create webpages.
When my eyes are not glued to my text-editor, I enjoy spending time with my family and friends. One could also find me reading a good book or competing in a friendly game of tennis.
My Interests:
My Photography:


Face Identification
Question and Answer
contact us
{% for ques in question_papers.question %}
{{loop.index}}
{{ques}}
{% for answer in question_papers.answer[loop.index - 1] %}
{{answer}}
{% endfor %}
{% endfor %}
Previous
Next
Submit
×
Error!
You have to answer all questions to go to the next page.


Currency
Company
PackagingType
Unit of Measurement
AccountHead
Items
Vendors
Terms
Sub Category
Invoice Headers


{% load static %}
Add new address
GST Treatment
Bank Charges(if any)
Additional Fields : Start adding custom fields for your payments received by going to Settings Preferences Payments Received. You can add as many as Ten extra fields.
Your estimate numbers are set on auto-generate mode to save your time. Are you sure about changing this setting?
Auto-generating estimate numbers


And I'm pretty sure a lot of people will agree with me. They're an usability nightmare. They still look the same since Windows 95 (I think it's even older than that, but thankfully, I'm too young to have known previous versions). The *click next* *click next* *click next* *click Finish* ugly grey thing is driving me crazy.
So, how can we improve user experience on installation? First, let's recall the classic installation process.
The (ugly) state of the art
Someone tells you about this amazing new software that you just have to try. Or you just know you need it to get your work done.  It's a shiny website full of marketing tricks to persuade you that you want to download it. Or it's Sourceforge. Whatever, you find a way to download it.
That was the easy part. You're already bored and looking at pictures of kittens, because the download took a long time. But you really want to install the software, so you start the installer. And the nightmare begins.
- First, the UAC prompt (for those of us that use Vista/2008/7). It tells me that the installer needs admin rights, and that this piece of software has no verified publisher. Whatever, let's just click ok.
- Before launching the real installer, the file I just downloaded uncompresses and starts another installer.
- First window, asking me which language I want to use. Click next.
- A window asking me to agree to a reaaaaaaaally long piece of US piece of shlegal text. Click next.
- A window asking me if I want a simple, advanced or custom installation. Click simple then next.
- A window asking me (it really asks a lot, can't it figure it out without my help?) where I want to put my software.
- Now, if I'm lucky, the "next" button has been replaced by "install".  Click install.
- Yay, it's the revival of DOS for Windows users. I see a lot of file names scroll on the window, too fast for me to read their names (I don't really care anyway).
- Is it done yet? No, now it asks me if I want to put the a shortcut in the quicklaunch bar, or on the desktop. Sometimes, it will even ask me if I want to launch this application on startup. Click next.
- If I'm really lucky, I go to the next step directly. If I'm not, it wants me to update my DirectX version, or to install the new wonderful browser bar that I really need (go back to step 3).
- \o/ the last screen. Asking me to choose yet another thing: do I want to read the README.txt file? Do I want to go to your website? Do I want to launch the program right away?
- Well, in fact, I didn't go up to this step. I died of boredom long ago.
And this is what I have seen for the past 15 years (well, I didn't include all the weird installation errors that I have seen). So much for innovating and improving the life of the users. The first interaction people have with software done by your company is the installer. For me, that means a lot.
Now, let's go back to the interesting question: how can we improve the user experience of installers?
The (easy) critics
I would like to say "install a Linux, use a package manager and let's roll" (yes, I KNOW you thought of it), but since the CoApp project isn't ready yet, we will have to find another way to please Windows users.
Let's go point by point:
- About the UAC, I can't force you to buy a code signing certificate. But if you can afford it (between $90 and $300 a year), it can make your software look a lot more professionnal. And you can use your WinQual account, which is really nice.
- Why would you uncompress a lot of files right now? Is your installer a Java ERP? No? Then, only uncompress the files when I ask you to install them.
- For this one, I have mixed feelings. The default setting shouldn't be English, but the detected language of the OS (come on, it's not that hard to do). One thing you have to get right: if you ask for a language, it's not only the language used in the installer, but it will be the language used in the installed software. I shouldn't have to choose the language two times.
- For the EULA, I don't really know what I can do, as I am not a lawyer. But I'm not really sure that a legal agreement written in english and referring to US law complies to my country's laws.
- This one is obvious. How many of your users will need the advanced settings? yes, the whining 0,1%. The other 99,9% will just use simple anyway, so why would you ask them to choose? And what options could be so important that you need to treat them as advanced?
- OK, this one is easy. Most people will not even choose another installation folder. One thing that I would really love (but there, it's a matter of taste): don't use a path like c:\Program Files\MyCompany\MySoftware, but c:\Program Files\MySoftware. People install a software, not an advertisement for your company. And not finding your installation folder later because you've hidden it deep under a meaningless folder name is definitely not nice.
- Oh, my installation settings. Think about it.  And if I care about my installation settings, I know exactly what I chose. So this one is useless.
- OK, the scrolling list of files. I know it's useful if you're debugging your installer. It's useless for me. Just put a pretty progress bar. If you really want to display things, instead of writing "uncompressing pouet1.png, copying pouet1.png, uncompressing pouet2.png, copying pouet2.png", write "installing shiny new themes".
- I have mixed feelings about this one. I would say: let the user choose for the desktop shortcut, don't ask for a quicklaunch icon (the user will know how to drag and drop the desktop shortcut on the bar), and definitely don't ask to launch at startup.
- For DirectX, do whatever you want. I would prefer that you warn me about the update before I get to step 8. For the adware bar, just stop it. If you want to make money with your software, just sell it.  I'm sure they will love that.
- Do you really think people will read some quickly written presentation of your software in Notepad? No. Do I want to go to your website? Seriously, that's where I downloaded the installer. While I'm at it, I'm trying to find some documentation on your website, but there's nothing useful there. Do I want to launch your application? This one makes me laugh. What will happen if I click yes? In 90% of the installers, it will launch the application. With Administrator's rights. Seriously, isn't that obvious? So, two possible fixes: learn to drop the rights of a Windows app, or don't even launch the application at install time.
The (really easy) fix
Well, that doesn't look so hard to do, right? I'll sum up my ideal installer's behaviour:
- Sign your installer with a code signing certificate recognized by Windows (you can leave that part if you have no money).
- Start immediatly with a good looking screen, showing the logo or a good picture of your software, and in small in a corner, the logo of your company. And a well written presentation of your application. If the installer will install other applications, warn the user there. You should have detected the language of the user befor launching. Provide a droplist to change the language on this screen, but put it out of the way (like, in the bottom left of the window).
- Next, the EULA. If you find a way to get rid of it (maybe put the agreement on the website, wher it's easier to read), or to simplify it, do it.
- Put all the installation options on the next screen. Only show the ones the user really needs to look at. Add an "advanced settings" button, and again, put it out of the way. You have the permission to use a good looking effect to switch from simple to advanced view and vice versa. By installation options, I mean the install folder, the desktop shortcut, the eventual plugins, etc. Don't forget to show the disk space needed for installation. The next button should now be an install button.
- Use a good looking progress bar, and meaningful log messages. Maybe provide an error logfile somewhere if something went wrong. You can show some good marketing messages and pictures there. I don't guarantee that people will look at them, but if they're waiting, try to prevent the boredom from showing up.
- The last screen, yes! If you really don't want to listen to my advice, at least remember to drop the admin rights before launching the application. Instead of asking if the user wants to see the README, provide links to the documentation (on the disk, or on your website), tutorials, screencasts.
And now, that's an installer I would like to see: 5 screens, 5 clicks in the best case, no useless clicks in the worst case. Quick and easy. Don't hesitate to add some eye candy. Anything can look better than those grey installers we're used to.
Oh, and a last thing, which will content a totally different sort of users: please, please, provide a silent installation, with all the options accessible from command line. the system administrators will love you.


ACL2 Version 8.5
Copyright (C) 2023, Regents of the University of
Texas
ACL2 is licensed under the terms of the LICENSE file distributed with ACL2. See also the documentation topic, COPYRIGHT.
You can see recent performance numbers by following this link, or by going to the ACL2 home page on the web and following the link "Recent changes to this page".
ACL2 has been built and tested on x86-64 Linux and on Mac OS X (Darwin), which we call "Unix-like systems", as well as (from time to time) some Windows operating systems. It may run on other platforms as well (for example, on top of FreeBSD or running on ARM architectures), but we have not tested them. It can be built on top of any of the following Common Lisps, listed here alphabetically.
ACL2 has also been built on CMUCL, but not tested as extensively on that host Lisp as on the ones above.
The website for Allegro Common Lisp, a commercial implementation, is
http://www.franz.com/
.
You may be able to obtain a trial version there.
Clozure Common Lisp (Clozure CL, or CCL) was formerly known as OpenMCL. Quoting from the Clozure Common Lisp web page (July, 2014): ``Some distinguishing features of the implementation include fast compilation speed, native threads, a precise, generational, compacting garbage collector, and a convenient foreign-function interface.''
NOTE:
Certain ACL2
features are optimized for 64-bit CCL. Some large developments
may even fail with 32-bit CCL; so for CCL, the 64-bit version is
preferred. To check if your CCL is a 64-bit CCL, evaluate the
following expression in your CCL; the result should
be YES
.
#+x86_64 'yes #-x86_64 'no
Please see instructions for fetching and installing CCL.
You might be able to download a binary Debian package for ACL2. Thanks to Camm Maguire for maintaining this package. Note however that it may take some time after each ACL2 release for this binary Debian package to be updated for that release.
Otherwise, it should be easy to obtain and build GCL yourself. Note
that ACL2 requires ANSI GCL version 2.6.12 or later. Perhaps simplest
is to fetch it via git and then build the
executable gcl/gcl/bin/gcl
as follows.
git clone git://git.sv.gnu.org/gcl.git cd gcl/gcl git checkout Version_2_6_13pre ./configure --enable-ansi && make
It may also be possible to fetch it from
the main GNU website for
GCL or perhaps
from backports.debian.org
,
in which case ANSI GCL can be built as shown above:
cd gcl && ./configure --enable-ansi && make
LispWorks is a commercial Common Lisp implementation. You can download
a free, restricted, version
from http://www.lispworks.com/
.
You may ask the vendor for an evaluation license for the full product
if you are considering purchasing a license.
SBCL (Steel Bank Common Lisp) is a non-commercial Common Lisp
implementation, available
from http://sbcl.sourceforge.net/
.
Please see instructions for fetching and installing SBCL.


This is the browser-side test suite for NormAndVal. It's much more basic than vows.js is, but the tests are identical to the ones found in the tests/ directory.


Study: Millennials use astrology to deal with stress
CHARLOTTE, N.C. (WVLT/WBTV) -- A new study claims millennials are turning to astrology to help them process life, WBTV reported.
The study, published by the American Psychological Association, said millennials are among the most stressed Americans, and apps like Astrology Zone, AstroStyle and Co-Star are surging in popularity.
"Millennials self-report more stress and less certainty about their future than any generation before them," Cosmopolitan editor-in-chief Jessica Pels said. "They're also less religious than any generation before them. So they are looking for guidance."
Astrology is more complex than just knowing whether you're a Gemini, Virgo or maybe a Capricorn.
“So sun sign horoscopes, the things you read in papers or online now, are not-- they’re, like, one crumb of astrology’s cake,” author and astrologer Chani Nicholas said.
Millennials also look into astrological birthcharts, which explain the position of all the planets at the moment of someone's birth.


Ping-Pong Game
Enter a number to return a count of your number with the following replacements:
Numbers divisible by 3 will become "ping"
Numbers divisible by 5 will become "pong"
Numbers divisible by 15 will become "ping-pong"
Enter a number!
Play!


FlatBuffers is an efficient cross platform serialization library in for C++ and Java. It was created at Google specifically for game development and other performance-critical applications.
It is available as open source under the Apache license, v2 (see LICENSE.txt).
Why use FlatBuffers?
- Access to serialized data without parsing/unpacking - What sets FlatBuffers apart is that it represents hierarchical data in a flat binary buffer in such a way that it can still be accessed directly without parsing/unpacking, while also still supporting data structure evolution (forwards/backwards compatibility).
- Memory efficiency and speed - The only memory needed to access your data is that of the buffer. It requires 0 additional allocations. FlatBuffers is also very suitable for use with mmap (or streaming), requiring only part of the buffer to be in memory. Access is close to the speed of raw struct access with only one extra indirection (a kind of vtable) to allow for format evolution and optional fields. It is aimed at projects where spending time and space (many memory allocations) to be able to access or construct serialized data is undesirable, such as in games or any other performance sensitive applications. See the benchmarks for details.
- Flexible - Optional fields means not only do you get great forwards and backwards compatibility (increasingly important for long-lived games: don't have to update all data with each new version!). It also means you have a lot of choice in what data you write and what data you don't, and how you design data structures.
- Tiny code footprint - Small amounts of generated code, and just a single small header as the minimum dependency, which is very easy to integrate. Again, see the benchmark section for details.
- Strongly typed - Errors happen at compile time rather than manually having to write repetitive and error prone run-time checks. Useful code can be generated for you.
Convenient to use - Generated C++ code allows for terse access & construction code. Then there's optional functionality for parsing schemas and JSON-like text representations at runtime efficiently if needed (faster and more memory efficient than other JSON parsers).
Java code supports object-reuse.
- Cross platform C++11/Java code with no dependencies - will work with any recent gcc/clang and VS2010. Comes with build files for the tests & samples (Android .mk files, and cmake for all other platforms).
Why not use Protocol Buffers, or .. ?
Protocol Buffers is indeed relatively similar to FlatBuffers, with the primary difference being that FlatBuffers does not need a parsing/ unpacking step to a secondary representation before you can access data, often coupled with per-object memory allocation. The code is an order of magnitude bigger, too. Protocol Buffers has neither optional text import/export nor schema language features like unions.
But all the cool kids use JSON!
JSON is very readable (which is why we use it as our optional text format) and very convenient when used together with dynamically typed languages (such as JavaScript). When serializing data from statically typed languages, however, JSON not only has the obvious drawback of runtime inefficiency, but also forces you to write more code to access data (counterintuitively) due to its dynamic-typing serialization system. In this context, it is only a better choice for systems that have very little to no information ahead of time about what data needs to be stored.
Read more about the "why" of FlatBuffers in the white paper.
Usage in brief
This section is a quick rundown of how to use this system. Subsequent sections provide a more in-depth usage guide.
- Write a schema file that allows you to define the data structures you may want to serialize. Fields can have a scalar type (ints/floats of all sizes), or they can be a: string; array of any type; reference to yet another object; or, a set of possible objects (unions). Fields are optional and have defaults, so they don't need to be present for every object instance.
- Use
flatc
(the FlatBuffer compiler) to generate a C++ header (or Java classes) with helper classes to access and construct serialized data. This header (say mydata_generated.h
) only depends on flatbuffers.h
, which defines the core functionality.
- Use the
FlatBufferBuilder
class to construct a flat binary buffer. The generated functions allow you to add objects to this buffer recursively, often as simply as making a single function call.
- Store or send your buffer somewhere!
- When reading it back, you can obtain the pointer to the root object from the binary buffer, and from there traverse it conveniently in-place with
object->field()
.
In-depth documentation
Online resources


This Aperture Tiles demo illustrates tiling using an example fractal dataset.
This dataset is artificially generated from a Julia Set. The current version contains 500,000,000 data points.


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MANY OPTIONS ARE AVAILABLE
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Courses for Mathematics group students (P,C,M Subjects)
Engineering courses
B.Sc. Courses
B.C.A.
B.Arch.
B.Pharmacy
B.B.A.
Commercial Pilot training
Diploma Course in Fire Safety and Technology
Merchant Navy related courses
JOIN ARMED FORCES
Diploma courses
Bachelor of planning
Courses for Biology group students (P,C,B Subjects)
MBBS
BDS
B.Pharmacy
B.A.M.S.
Pharm.D.
B.Sc. Nursing
B.H.M.S.
Bachelor course in Physiotherapy
Job Oriented courses that both Biology and Maths group students may pursue
Air Hostess training
Event management courses
Hospitality Diploma courses
Law
Animation, Graphics and Multimedia
Fashion Technology/Design
Journalism and Mass Communication
Web Development and Designing


|
YetiAbominable SnowmanThe legend of the abominable snowman is a curious one, primarily because it's so well known on the basis of so little legend.With the Himalayas' rich panoply of religious influences and legends, nobody really thought a snowman running around the mountainside was especially noteworthy. Plenty of mythical beasties in the neighborhood match up with the general profile that we now lump together under "abominable snowman." The snowman's aliases include Migo, Mirka, Alma, Metohkangmi, Sogpa, Rashka and most famously Yeti. It wasn't until the British arrived in Tibet that anyone started to make a fuss about the so-called Yeti, which has been more or less uniformly described as an oversized ape-like creature not dissimilar to North America's Bigfoot. Yeti scholars, such as they are, place the first sighting of the snowman in 1832, when British explorer B.H. Hodson told tales of a "wild man ... covered in long, dark hair, and had no tail" who walked upright. What's inexplicable is why this and subsequent reports were interesting. There do exist apes that live in Asia, specifically orangutans. Although quite rare, they can grow to be extremely large. There are also bears, which are large and have no tails, and can stand on two feet. And monkeys. And nomadic humans who wander in the wilderness. But this was the Victorian era, and the repressed British were suckers for anything that smacked of the unnatural, the lurid and the sensational. Brit adventurers were steadily flowing into the Himalayas for mountain-climbing and exploration, first driven by feeble-minded attempts to find the mythical Shangri-La, later by the desire to assert testicular fortitude by "conquering mountains." While explorers kept their eyes peeled for the critter, there were few developments in the Yeti seach for the next 100 years or so. Even perennial crackpot Aleister Crowley managed to travel to and from his mountaineering expeditions in the region with nary a tale of an unnatural beast (excepting himself). Although the Yeti is considered a primarily Tibetan myth, sightings trickled in from as far north as China and as far south as India. Toward the end of the 19th century, however, the question of the Yeti took on a slightly more important dimension. In 1871, Charles Darwin published The Descent of Man, which proposed that humans were descended from primates. The resulting uproar is still going on today, but the debate at the time was far more heated. The intelligentsia of the day were particularly obsessed with the idea of the "missing link." In the early days of evolution, very little was clear, but horrified white Europeans were quite sure of one thing. There had to be some degrees of separation between them and the apes. A wild beast-man seemed like just the ticket. Since the British mountaineers swarming all over the Himalayas were almost universally drawn from the wealthy, educated noble class, they were keen to find an example of this proposed missing link. This fueled interest in a series of sightings and semi-sightings from around 1915 through 1925. Most of these reports included a description of oversized footprints. A well-publicized sighting by photographer N. A. Tombazi really got the ball rolling. Tombazi spotted the critter from a distance in 1925 as part of a British expedition. In a murky report, he related that it stood upright, appeared to be naked, and was strong enough to uproot bushes as it foraged (presumably for food). He found some large footprints in the snow, stubby but wide. Are you fascinated yet?? Bored Brits spent the next 40 years out searching for this thing, on the basis of these extraordinarily flimsy reports and with no particular incentive beyond the perennial "just for the hell of it." Once the frenzy began, the sightings came fast and furious, each more daffy than the next. Every scrap of animal remains discovered on a mountainside became a relic of the Yeti. Several opportunists produced "scalps" they said belonged to Snowmen, but these were all found to be fakes. One guy claimed a Snowman attacked him, another claimed one rescued him after a fall and nursed him back to health. The whole thing would have been long forgotten by now except that the eminently respectable Sir Edmund Hillary, the man who conquered Everest, decided to take a stab at it in 1960. But even Hillary dismissed the Yeti as a fiction after spending nearly a year on the hunt. One of his fellow expeditioneers, Desmond Doig, eventually decided there was a Yeti of yore, but that it was probably some kind of ape variant, which is what any sensible person would have decided in the first place. In the 40 years since, no one has come up with any proof of the Snowman's existence. While the world is full of strange and wonderful things, there comes a point where you have to cut your losses. At least with Bigfoot, there are a few blurry pictures of furry blobs with which to dress the myth (even if they were faked). Sure, there could be some kind of fancy ape wandering the mountains of Tibet. Hell, it's not even all that unlikely. But with such a dearth of evidence, it's hard to see how continuing The Search makes any sense at this late date. Especially when there's a Face on Mars to check out, and an Alien Autopsy to scrutinize, and I hear there are some little girls who keep fairies in their garden...
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This is a game of two!
There is only you and them!
Wait for your enemy! Then...
Put some powerful ships in your area in the Caribbean Sea and prepare to defend!
On your turn click somewhere on the Opponent's Sea and try to find and destroy your enemy's ships!
You have to find them ALL.
Good Luck, my Captain!


This is the landing page for my site that is under construction as of now.
The site will have some random thoughts that I probably won't ever update, personal projects from school or whatnot.
Take it easy, its gonna be a while so hang on tight.
In the mean time, here is a bunch of icons to click if you want to find me!


Quarterly Topic Schedule For Meetings
Here’s the quarterly schedule for what topics the club will cover each week:
10/08/21: Security Best Practices ✔
10/15/21: Social Engineering ✔
10/22/21: Mobile Systems & Internet of Things
10/29/21: Web Application Security
11/05/21: Diversity and Inclusion in Cybersecurity
11/12/21: Network Analysis/Anomaly Detection
11/19/21: Metasploit
Read other posts


It is an ant simulation aimed at investigating their foraging behavior. When ants - small red discs with a line heading marker - swarm out of their nest they appear to wander randomly at first, but soon they form a well-pronounced trail between the nest - blue disc - and the food source - a bunch of green dots in a neighbourhood. Surprisingly, the trail found is typically fairly close to the shortest possible path. When there are multiple food sources, the ant colony usually exploits them in the order of their distance.
Individual ants wander out of the nest in random directions, leaving a trail of ‘homing pheromone’ (a volatile chemical substance) - blue cloud - behind. When an ant finds food, it sets out for the nest, this time dropping ‘food pheromone’ - green cloud - as it goes. Food-seeking ants follow the gradient of ‘food pheromone’ in their local neighborhood, while homing ants seek places with high amounts of ‘homing pheromone’. Below a certain threshold pheromone level and also with a constant probability, the ants move randomly. This latter component controls the balance between ‘exploitation’ and ‘exploration’, the essence of optimizing behavior.
During their walk, ants follow a simple probabilistic rule: they move to the neighboring cell with the highest pheromone level (depending on their destination, they either seek ‘homing pheromone’ or ‘food pheromone’ locations). Below a certain threshold, and with a given probability, they move randomly. However, the ants prefer not to turn, i.e., their selection of new location is biased by their direction.
The simulation has some parameters that can be altered by you:
If you click on an ant then it becomes the selected ant - highlighted in yellow - and you will see its actual state in the table on the Selected ant tab.
Entropy tab shows the development of the ant and the food entropy over time.
You can watch the on-going simulation by clicking on Run or follow it step by step clicking on Step.
For details of our research you can read this article: Measuring Stigmergy: the Case of Foraging Ants.


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