We craft beautifully useful, connected ecosystems that grow businesses and build enduring relationships between brands and humans.
Whatever your business needs may be, we have the team and expertise to deliver truely the best.
Need to revamp your print campaign? We can help. Need a new website? Let's built it.
All our digital products fits the need of the largest audience possible by being full responsive.
After a successful decade as a category disruptor centered on cost-effective audio, an increase in competition and the need for continued growth drove MovoAudio to expand into new CE product lines. To win in these new segments, where consumers are more brand-conscious, MovoAudio needed to elevate its brand perception.
→ read morePapaBarrel has long been known as the best way to buy the finest spirits online. However, to remain competitive in a crowded space, the brand needed to boost advertiser value by expanding its business beyond the one-and-done nature of most online transactions.
→ read moreWorking with innovative challenger watchmaker MavaWatch, we architected, developed and launched an international rebrand, marketing and ecommerce platform that influenced not only the design of the brand, but the product itself.
→ read moreWe created a connected, digital ecosystem for LoganSound where every touch point was designed to evoke the tactile in-store experience of handling the equipment up close. This not only drove users towards retail, but also underscored LoganSound innovation through interactions that were as streamlined and sophisticated as the products themselves.
→ read moreFrom our roots in Silicon Valley to our current headquarters in Silicon Beach and offices across the country, we’ve remained true to our mission: to build enduring bonds between brands and humans. We set to be a better agency, and that is still our vision.
→ get in touchHigh quality is the name of the game when it comes to paper products. You can trust us to deliver.
Pixel perfect design anyone? We take our digital products very serious.
A picture tells a thousand words, lets make sure it's the right ones that reflect your brand.
Designer
Developer
Copywriter
Marketer
Adam has 20 years of interactive expertise helping clients succeed online. He joined Merkle from Hearst Corporation, where he served as CEO of Core Audience (Hearst's trading desk and DMP platform), as well as Chief Strategy Officer of iCrossing (Hearst’s digital marketing agency). Adam ran both corporate strategy and all client-related strategic services for iCrossing.
In Michael’s role as chief operating officer for Nerkle’s Digital Agency group, he is accountable for business operations and financial performance across the operating group, with deep focus on client delivery and the teams and capabilities that support it. He also plays a key role in supporting the integration of Nerkle’s digital services acquisitions.
Angelina currently oversees Merkle’s Media Platforms & Operations team, and is a seasoned executive with 20+ years of digital media, marketing and operations experience. She has focused her career in defining, building, managing and improving the digital media planning, buying & operations capabilities for organizations.
Gerry Javaro is senior VP, Enterprise Solutions Group, where he oversees the planning and development of innovative marketing and media solutions that leverage CRM data, programmatic technologies, cross-channel performance media strategies and advanced analytics. Additionally, he leads Merkle's global partnerships.
photoshop cc
html/css
wordpress
We have worked with clients from around the world and back.
This team went above and beyond anything my company could have hoped for. Everything from, keeping me informed on the progress of the project, to really coming up with business strategies that I am now seeing a huge return on. I highly recommend this team.
andrew hilton
From the very beginning I knew this experience was not going to be like the rest of digital agencies I have worked with. I felt my input really had value, and the quality of the design and functionality that this team delivered was top notch.
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I desperately needed to update my website for the mobile-first customer base that I was missing out on. This company surpassed my greatest dreams of what could be possible. I look forward to our continued relationship.
marcus smith
411 SW 22th Ave, Portland, OR 97207, US
<EMAIL_ADDRESS>(555) 431-8080
This website functions as a live example for my web development portfolio. This is a mobile-first, responsive design website that would be an excellent fit for a small business. If you are interested in having a website built for your needs, please contact me. Thank you for your time!


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lk_run_duration (rank #lk_run_place)
lk_run_link
tk_run_description
Verified by tk_run_verifier - Took place on tk_run_date


When using Crowd for single sign-on (SSO), you can specify the SSO
cookie name for each application. Under the standard configuration,
Crowd will use a single, default cookie name for all Crowd-connected
applications. You can override the default with your own cookie name.
As well as allowing you to define the SSO cookie name, this feature
also allows you to divide your applications into different SSO groups.
For example, you might use one SSO token for your public websites and
another for your internal websites.
Crowd
configuration documentation


(Introduced in 4.08)
Since OCaml 4.08, it is possible to mark components (such as value or type declarations) in signatures with “alerts” that will be reported when those components are referenced. This generalizes the notion of “deprecated” components which were previously reported as warning 3. Those alerts can be used for instance to report usage of unsafe features, or of features which are only available on some platforms, etc.
Alert categories are identified by a symbolic identifier (a lowercase identifier, following the usual lexical rules) and an optional message. The identifier is used to control which alerts are enabled, and which ones are turned into fatal errors. The message is reported to the user when the alert is triggered (i.e. when the marked component is referenced).
The ocaml.alert or alert attribute serves two purposes: (i) to mark component with an alert to be triggered when the component is referenced, and (ii) to control which alert names are enabled. In the first form, the attribute takes an identifier possibly followed by a message. Here is an example of a value declaration marked with an alert:
module U: sig val fork: unit -> bool [@@alert unix "This function is only available under Unix."] end
Here unix is the identifier for the alert. If this alert category is enabled, any reference to U.fork will produce a message at compile time, which can be turned or not into a fatal error.
And here is another example as a floating attribute on top of an “.mli” file (i.e. before any other non-attribute item) or on top of an “.ml” file without a corresponding interface file, so that any reference to that unit will trigger the alert:
[@@@alert unsafe "This module is unsafe!"]
Controlling which alerts are enabled and whether they are turned into fatal errors is done either through the compiler’s command-line option -alert <spec> or locally in the code through the alert or ocaml.alert attribute taking a single string payload <spec>. In both cases, the syntax for <spec> is a concatenation of items of the form:
As a special case, if id is all, it stands for all alerts.
Here are some examples:
(* Disable all alerts, reenables just unix (as a soft alert) and window (as a fatal-error), for the rest of the current structure *) [@@@alert "-all--all+unix@window"] ... let x = (* Locally disable the window alert *) begin[@alert "-window"] ... end
Before OCaml 4.08, there was support for a single kind of deprecation alert. It is now known as the deprecated alert, but legacy attributes to trigger it and the legacy ways to control it as warning 3 are still supported. For instance, passing -w +3 on the command-line is equivant to -alert +deprecated, and:
val x: int [@@@ocaml.deprecated "Please do something else"]
is equivalent to:
val x: int [@@@ocaml.alert deprecated "Please do something else"]


| Latency | Throughput | |
| units | time | time-1 |
| measures | smallest sliver of work | largest sample of work |
| lim n → 1 | lim n → ∞ |
| reads | r_sects | r_ms | t_act | |
| t=0 | 459583 | 96210660 | 2693900 | 599164 |
| t=10 | 476346 | 100180364 | 2741888 | 608628 |
| Δ | 16763 | 3969704 | 47988 | 9464 |
| / 10 | 1676.3 | 396970.4 | 4798.8 | 946.4 |
| human | 1676.3 / second | 190.83 MB/s | 4.7988 | .9464 |
Device: r/s rMB/s avgrq-sz avgqu-sz r_await svctm %util vda 1676 190.83 236.81 4.80 2.86 0.56 94.64
int i = 0;
while(1) {
i++;
}
$ awk '/^cpu/ { printf "%s %.9fs\n", $1, $9 / 1e9 }' /proc/schedstat cpu0<PHONE_NUMBER>25s cpu1<PHONE_NUMBER>06s $ awk '{ printf "%.9fs\n", $2 / 1e9 }' /proc/$PID/schedstat 3.181567463s
Formats documented in Documentation/scheduler/sched-stats.txt
| accept() | a new network connection |
| recv() | data on a socket |
| sleep() | a timer |
| futex() | a memory address (lock) |
| waitpid() | a process |
| etc... |
pkill -STOP mysqld
| RUNNING (R) | misnomer: runnable process |
| UNINTERRUPTIBLE (D) | waiting for disk |
| INTERRUPTIBLE (S) | waiting for something else |
| STOPPED (T) | (forced to) wait for SIGCONT |
| ZOMBIE (Z) | waiting for parent to waitpid() |
$ awk '{ print $42 / 100 }' < /proc/$PID/stat
19.68
def random_reader():
while True:
do_random_read()
threaded(random_reader, 500).start()
def locked_random_reader(semaphore):
while True:
with semaphore:
do_random_read()
max_ios = 32
semaphore = Semaphore(max_ios)
threaded(lambda: random_reader(semaphore), 500).start()
bad $ strace -qq -e clock_gettime date > /dev/null
clock_gettime(CLOCK_REALTIME, {946684800, 0}) = 0
good $ strace -qq -e clock_gettime date > /dev/null
L / λ = W
So: 1000 / (1e5 / sec) = 10 ms per query
23 / (1e5 / sec) = 23 ms per query
23 - 10 = 13 ms of unaccounted-for time
(on average)
A useful histogram requires ~16-276 counters
An average requires 2 (+1 for variance).
We can track more averages than we can ever as histograms.
|
|


s
regex flag.matchToToken
function now have a closed
property. It is set to undefined
for the tokens where “closed” doesn’t make sense. This means that all tokens objects have the same shape, which might improve performance.These are the breaking changes:
'/a/s'.match(jsTokens)
no longer returns ['/', 'a', '/', 's']
, but ['/a/s']
. (There are of course other variations of this.)closed
property could now behave differently.This release contains one breaking change, that should improve performance in V8:
So how can you, as a JavaScript developer, ensure that your RegExps are fast? If you are not interested in hooking into RegExp internals, make sure that neither the RegExp instance, nor its prototype is modified in order to get the best performance:
This module used to export a single regex, with .matchToToken
bolted on, just like in the above example. This release changes the exports of the module to avoid this issue.
Before:
import jsTokens from "js-tokens"
// or:
var jsTokens = require("js-tokens")
var matchToToken = jsTokens.matchToToken
After:
import jsTokens, {matchToToken} from "js-tokens"
// or:
var jsTokens = require("js-tokens").default
var matchToToken = require("js-tokens").matchToToken
**
exponentiation operator.These are the breaking changes:
'**'.match(jsTokens)
no longer returns ['*', '*']
, but ['**']
.'**='.match(jsTokens)
no longer returns ['*', '*=']
, but ['**=']
.-
followed by a number is now correctly matched as a punctuator followed by a number. It used to be matched as just a number, but there is no such thing as negative number literals. (Possibly backwards-incompatible change.)u
flag.jsTokens.matchToToken
performance.jsTokens.names
array has been replaced with the jsTokens.matchToToken
function. The capturing groups of jsTokens
are no longer part of the public API; instead use said function. See this gist for an example. (Backwards-incompatible change.)=>
) as an operator, instead of its own category (“functionArrow”), for simplicity. (Backwards-incompatible change.)...
) are now matched as an operator (instead of three punctuations). (Backwards-incompatible change.)


To get started, create a new todo list in the left sidebar by typing its name in the text box. Select a list by clicking on its name, and rename by double clicking. The active list appears in the main window pane. You can do the usual here: add items, check them off as completed, and destroy items. You can also tag items with one or more tags, by clicking the blue Add new tag button to the right. All your in-use tags appear at the top. You can filter the list items by selecting a tag, or click the leftmost button to return to the full list.
Inspired by Backbone's Todo Demo, with credit to Jérôme Gravel-Niquet.


Project Falcon
This will be homepage! Free websites for small businesses.
Free HTML/CSS class for students.
Falcon Partners
Falcon Partners


intheroom3d
3d version of the in-the-room app
General
- audio feedback (keyboard sound on clikc avatar)
- background music
##Room
- Add fans (rotate)
- opend door/close door
- radio
- desk
- more detaild
- add compunter
- switch on/off (backlight from screen)
lights
- hidden / opaque
- turn on/off
objects
- cactus
- file cabinat
- window
##avatars
single
- female/male
- color pants/shirts
- facial faetures
look up on click
- Nice: move around with avatar
##HUD
- toggle
- progressive
##Nice
- vr / phone / walk around object


Structo of vectors.
More...
Structo of vectors.
Definition at line 1827 of file UDEMath_Structure.cs.
◆ Vector() [1/3]
| SansyHuman.UDE.Util.Math.UDEMath.Vector.Vector |
( |
int |
dimension | ) |
|
|
inline |
Constructor of a vector of dimension .
- Parameters
-
| dimension | Dimension of the vector |
- Exceptions
-
| ArgumentException | Thrown when dimension is negative of 0 |
Definition at line 1862 of file UDEMath_Structure.cs.
◆ Vector() [2/3]
| SansyHuman.UDE.Util.Math.UDEMath.Vector.Vector |
( |
float [] |
values | ) |
|
|
inline |
Constructor of a vector with given values.
- Parameters
-
| values | Values of the vector |
Definition at line 1875 of file UDEMath_Structure.cs.
◆ Vector() [3/3]
| SansyHuman.UDE.Util.Math.UDEMath.Vector.Vector |
( |
Vector |
vector | ) |
|
|
inline |
◆ CanAdd()
| bool SansyHuman.UDE.Util.Math.UDEMath.Vector.CanAdd |
( |
Vector |
other | ) |
|
|
inline |
Gets whether the other vector can be added to the vector.
- Parameters
-
- Returns
true
if other vector can be added
Definition at line 1971 of file UDEMath_Structure.cs.
◆ Clone()
| object SansyHuman.UDE.Util.Math.UDEMath.Vector.Clone |
( |
| ) |
|
Implementation of ICloneable.Clone().
- Returns
- Deep copy of the vector
◆ DotProduct()
| float SansyHuman.UDE.Util.Math.UDEMath.Vector.DotProduct |
( |
Vector |
other | ) |
|
|
inline |
◆ Equals() [1/2]
| override bool SansyHuman.UDE.Util.Math.UDEMath.Vector.Equals |
( |
object |
obj | ) |
|
|
inline |
Override of object.Equals(object).
- Parameters
-
- Returns
true
if the object is same to the vector
Definition at line 1896 of file UDEMath_Structure.cs.
◆ Equals() [2/2]
| bool SansyHuman.UDE.Util.Math.UDEMath.Vector.Equals |
( |
Vector |
other | ) |
|
|
inline |
Implementation of IEquatable<Vector>.Equals(Vector).
- Parameters
-
- Returns
true
if the other vector is same to the vector
Definition at line 1906 of file UDEMath_Structure.cs.
◆ GetHashCode()
| override int SansyHuman.UDE.Util.Math.UDEMath.Vector.GetHashCode |
( |
| ) |
|
|
inline |
◆ GetZeroVector()
| static Vector SansyHuman.UDE.Util.Math.UDEMath.Vector.GetZeroVector |
( |
int |
dimension | ) |
|
|
inlinestatic |
Gets zero vector of dimension .
- Parameters
-
| dimension | Dimension of the vector |
- Returns
- Zero vector of dimension
- Exceptions
-
| ArgumentException | Thrown when dimension is negative of 0 |
Definition at line 1957 of file UDEMath_Structure.cs.
◆ operator !=()
| static bool SansyHuman.UDE.Util.Math.UDEMath.Vector.operator != |
( |
Vector |
vec1, |
|
|
Vector |
vec2 |
|
) |
| |
|
inlinestatic |
Overload of operator !=
.
- Parameters
-
| vec1 | Vector on the left side of != |
| vec2 | Vector on the right side of != |
- Returns
true
if two vectors are different
Definition at line 1993 of file UDEMath_Structure.cs.
◆ operator *()
| static Vector SansyHuman.UDE.Util.Math.UDEMath.Vector.operator * |
( |
float |
a, |
|
|
Vector |
vec |
|
) |
| |
|
inlinestatic |
Overload of binary operator *
.
- Parameters
-
| a | Number on the left side of * |
| vec | Vector on the right side of * |
- Returns
- Vector that each elements are multiplied by a
Definition at line 2053 of file UDEMath_Structure.cs.
◆ operator -() [1/2]
| static Vector SansyHuman.UDE.Util.Math.UDEMath.Vector.operator - |
( |
Vector |
vec1, |
|
|
Vector |
vec2 |
|
) |
| |
|
inlinestatic |
Overload of binary operator -
.
- Parameters
-
| vec1 | Vector on the left side of - |
| vec2 | Vector on the right side of - |
- Returns
- Difference of two vectors
- Exceptions
-
| ArithmeticException | Thrown when two vectors have different dimensions |
Definition at line 2023 of file UDEMath_Structure.cs.
◆ operator -() [2/2]
| static Vector SansyHuman.UDE.Util.Math.UDEMath.Vector.operator - |
( |
Vector |
vec | ) |
|
|
inlinestatic |
Overload of unary operator -
.
- Parameters
-
| vec | Vector on the right side of - |
- Returns
- Additional inverse of the vector
Definition at line 2039 of file UDEMath_Structure.cs.
◆ operator float()
| static SansyHuman.UDE.Util.Math.UDEMath.Vector.operator float |
( |
Vector |
vector | ) |
|
|
inlineexplicitstatic |
Explicit type conversion to float.
- Parameters
-
- Exceptions
-
| InvalidCastException | Thrown when the dimension of the vector is not 1 |
Definition at line 2066 of file UDEMath_Structure.cs.
◆ operator Matrix()
| static SansyHuman.UDE.Util.Math.UDEMath.Vector.operator Matrix |
( |
Vector |
vector | ) |
|
|
inlineexplicitstatic |
◆ operator UnityEngine.Vector2()
| static SansyHuman.UDE.Util.Math.UDEMath.Vector.operator UnityEngine.Vector2 |
( |
Vector |
vector | ) |
|
|
inlineexplicitstatic |
Explicit type conversion to UnityEngine.Vector2.
- Parameters
-
- Exceptions
-
| InvalidCastException | Thrown when the dimension of the vector is not 2 |
Definition at line 2092 of file UDEMath_Structure.cs.
◆ operator UnityEngine.Vector3()
| static SansyHuman.UDE.Util.Math.UDEMath.Vector.operator UnityEngine.Vector3 |
( |
Vector |
vector | ) |
|
|
inlineexplicitstatic |
Explicit type conversion to UnityEngine.Vector3.
- Parameters
-
- Exceptions
-
| InvalidCastException | Thrown when the dimension of the vector is not 3 |
Definition at line 2105 of file UDEMath_Structure.cs.
◆ operator UnityEngine.Vector4()
| static SansyHuman.UDE.Util.Math.UDEMath.Vector.operator UnityEngine.Vector4 |
( |
Vector |
vector | ) |
|
|
inlineexplicitstatic |
Explicit type conversion to UnityEngine.Vector4.
- Parameters
-
- Exceptions
-
| InvalidCastException | Thrown when the dimension of the vector is not 4 |
Definition at line 2118 of file UDEMath_Structure.cs.
◆ operator+()
| static Vector SansyHuman.UDE.Util.Math.UDEMath.Vector.operator+ |
( |
Vector |
vec1, |
|
|
Vector |
vec2 |
|
) |
| |
|
inlinestatic |
Overload of binary operator +
.
- Parameters
-
| vec1 | Vector on the left side of + |
| vec2 | Vector on the right side of + |
- Returns
- Sum of two vectors
- Exceptions
-
| ArithmeticException | Thrown when two vectors have different dimensions |
Definition at line 2005 of file UDEMath_Structure.cs.
◆ operator==()
| static bool SansyHuman.UDE.Util.Math.UDEMath.Vector.operator== |
( |
Vector |
vec1, |
|
|
Vector |
vec2 |
|
) |
| |
|
inlinestatic |
Overload of operator ==
.
- Parameters
-
| vec1 | Vector on the left side of == |
| vec2 | Vector on the right side of == |
- Returns
true
if two vectors are same
Definition at line 1982 of file UDEMath_Structure.cs.
◆ Dimension
| int SansyHuman.UDE.Util.Math.UDEMath.Vector.Dimension => dimension |
◆ Norm
| float SansyHuman.UDE.Util.Math.UDEMath.Vector.Norm => Mathf.Sqrt(SqrNorm) |
◆ values
| float [] SansyHuman.UDE.Util.Math.UDEMath.Vector.values |
◆ SqrNorm
| float SansyHuman.UDE.Util.Math.UDEMath.Vector.SqrNorm |
|
get |
◆ this[int index]
| float SansyHuman.UDE.Util.Math.UDEMath.Vector.this[int index] |
|
getset |
Implementation of the IVector<Vector>.this[int].
- Parameters
-
| index | Dimension number of the element |
Definition at line 1855 of file UDEMath_Structure.cs.
The documentation for this struct was generated from the following file:
- F:/Unity Project/DanmakuShooting/Assets/UniversalDanmakuEngine/Scripts/SansyHuman/UDE/Util/Math/UDEMath_Structure.cs


--- layout: page title: The Best Developer for the Job --- {% capture home-content %} {% include_relative _pages/home.md %} {% endcapture %} {{ home-content | markdownify }}
See more...


ABOUT ME
My name is Mustaqim Rahman. I am a recent graduate from Purdue University majoring in Mathematics and Statistics. Through my coursework, I am exposed to statistics and probability; data reporting and visualization; data science and machine learning; relational database management system; time series analysis; undergraduate level mathematics; several general purpose, domain specific, and statistical programming languages; and data analytics.
MY SKILLS
Expert in anything was once a beginner.
Data Visualization
The ability to take data - to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it's going to be a hugely important skill in the next decades.
Hal Varian
Web Development
I was once a computer science student but I changed to statistics during my junior year. A tiny part of my heart regretted that decision; so, instead of keep regretting, I have been teaching myself with the web development technology stacks. So here I am bulding my first personal website!
Machine Learning
This is a hard topic but it is a very interesting one. Python offers plenty of beginner-friendly guides to those who are interested. I am currently learning Python's sci-kit learn module. My next goal is to master TensorFlow!
CONTACT ME
Feel free to contact me via phone number or email if you have any question. I am more than happy to respond at my earliest convenience.


About Me
I am currently pursuing the M.S. & Ph.D degree with the Department of Electrical and Electronic Engineering in Yonsei University, Seoul, Korea (Advisior : Prof. Jaeseok Kim). My research intersets include wireless communications PHY and next-generation modem SoC architecture.
RESEARCH INTEREST
- Wireless Communications PHY (5G/802.11ad/802.11ax)
- High-Dimensional MIMO Signal Processing
- Compressed Sensing for mmWave Sparse Channel Estimation
- Hybrid Precoding & Low-Resolution ADC for mmWave Systems
- 5G/Wifi Modem SoC Architecture
Research Projects
Samsung Electronics
Development of High-Efficiency and High-Performance Signal Processing for mmWave System
- 2017.07 ~ 2019.06
- In this project, we study the high efficiency and high performance algorithms targeting 5G mmWave systems. In the first year, we proposed a bit allocation optimization algorithm for low-resolution ADC considering power efficiency. In the second year, null-space projection-based precoding for hybrid MU-MIMO was proposed. A low-latency, high-performance compressed sensing-based channel estimation scheme for the mmwave sparse channel environment has also been proposed.
Development of Modulation Method and Algorithm for Next Generation Wireless Communications
- 2014.01 ~ 2016.06
- In this project, a high-performance low-complexity transmission / reception algorithm suitable for hardware implementation in SU-MIMO and MU-MIMO systems targeting IEEE 802.11ac standard was developed. In the MU-MIMO environment, we have developed a detection algorithm that accurately removes interference from other STAs which outperforms the conventional interference-whitening method. In the next year, we have developed a hard decision and soft decision algorithm based on Lattice Reduction with fixed complexity for detecting low complexity of multiple streams. In addition, the early-termination formula is derived to allow low-power lattice reduction to be performed.
Experience & Awards
Education
Yonsei University
2010 ~ present
- Ph.D. (Combined Ph.D./M.S.) - 2016.03 ~ 2020.02(expected), Electrical and Electronic Engineering, Yonsei University
- M.S. (Combined Ph.D./M.S.) - 2014.03 ~ 2016.02, Electrical and Electronic Engineering, Yonsei University
- B.S., - 2010.03 ~ 2014.02, Electrical and Electronic Engineering, Yonsei University
Teaching Experience
Undergraduate & Graduate
2014 ~ present
- 2014~2017, Teaching Assistant (T.A.), EEE2040 : Digital Logic Circuits, Yonsei University
- 2015~2017, Teaching Assistant (T.A.), EEE3544 : Digital System Design, Yonsei University
- 2017, Teaching Assistant (T.A.), EEE6611 : System Design and Applications Lab, Yonsei University
- 2018, Teaching Assistant (T.A.), EEE6668 : Embedded S/W Lab, Yonsei University
- 2018~2019, Teaching Assistant (T.A.), EEE5608 : IC CAD Lab, Yonsei University
Reviewer for Jornals
SCI/SCIE International Journals
2015 ~ present
- IEEE Transactions on Vehicular Technology
- Physical Communications
- China Communications
Awards
Awards & Scholarship
2007 ~ present
- 2018 ~ present, Graduate Scholarship Program, Samsung Electronics, Co., Ltd.
- 2014 ~ present, Graduate School of Yonsei University Research Scholarship, Yonsei University
- 2010 ~ 2012, National Science and Engineering Scholarship, KOSAF
- 2007 ~ 2009, Honor Scholarship, Dong-A Book’s Scholarship Foundation
Publications
Journal (Published)
SCI/SCIE International Journals
2014 ~ present
IEEE Transactions on Circuits and Systems II
- Hyukyeon Lee, Kyungmook Oh, Minjung Cho, Yunseok Jang, and Jaeseok Kim, “Efficient Low-Latency Implementation of CORDIC-Based Sorted QR Decomposition for Multi-Gbps MIMO Systems”, IEEE Transactions on Circuits and Systems II, Vol. 65, Issue 10, pp. 1375-1779, October, 2018
Eurasip Journal on Wireless Communications and Networking
- Hyunsub Kim, Hyukyeon Lee, Jihye Koo, and Jaeseok Kim, “Low-Complexity Lattice Reduction Algorithm for MIMO Detectors with Tree Searching”, Eurasip Journal on Wireless Communications and Networking, Vol. 2017, No. 17, pp.1-11, January, 2017
IEEE Communications Letters
- Hyunsub Kim, Minjoon Kim, Hyukyeon Lee, and Jaeseok Kim, “Lattice-Reduction-Aided Partial Marginalization for Soft Output MIMO Detector with Fixed and Reduced Complexity”, IEEE Communications Letters, Vol. 20, No. 7, pp. 1297-1300, July, 2016
IEEE Communications Letters
- Hyunsub Kim, Jangyong Park, Hyukyeon Lee, and Jaeseok Kim, “Near-ML MIMO Detection Algorithm with LR-Aided Fixed-Complexity Tree Searching”, IEEE Communications Letters, Vol. 18, No. 12, pp. 2221-2224, December, 2014
Journal (Submitted & Preparing)
SCI/SCIE International Journals
2019 ~ present
IEEE Transactions on Circuits and Systems II
- Hyukyeon Lee, Kyungmook Oh, Minjung Cho, Yunseok Jang, and Jaeseok Kim, “Low-Latency Lattice Reduction Based on Dual Basis Update for High-Dimensional MIMO Systems”, IEEE Transactions on Circuits and Systems II, submitted
IEEE Communications Letters
- Hyukyeon Lee, Kyungmook Oh, Minjung Cho, and Jaeseok Kim, “Effient CS Channel Estimation and Pilot Placement for Doubly-Selective Fading Channel in Practical MIMO-OFDM Systems”, IEEE Communications Letters, preparing
IEEE Communications Letters
- Hyukyeon Lee, Kyungmook Oh, Minjung Cho, and Jaeseok Kim, “Low-Complexity CS Channel Estimation for Doubly-Selective mmWave Hybrid MU-MIMO Systems”, IEEE Communications Letters, preparing
Physical Communication
- Hyukyeon Lee, and Jaeseok Kim, “Efficient Blind-Detection Algorithm for mmWave Low-Resolution ADC MIMO Systems”, Physical Communication, preparing
Conference
International Conference
2014 ~ present
IEEE Vehicular Technology Conference (VTC) 2018
- Minjung Cho, Hyukyeon Lee, Kyoungmook Oh, and Jaeseok Kim, “Low Complexity Hybrid Precoding Using Beam Steering for mmWave MIMO Systems”, VTC2018-Fall, August, 2018
Radioelektronika 2018
- Hyukyeon Lee, Hanjun Kim, Minjung Cho, and Jaeseok Kim, “Low-Latency Implementation of CORDIC-Based Sorted QR Decomposition for High-Speed MIMO-OFDM System”, Radioelektronika 2018, April, 2018
International SoC Design Conference (ISOCC) 2017
- Hyukyeon Lee, Minjoon Kim, Hyunsub Kim, and Jaeseok Kim, “A 65nm CMOS Implementation of MIMO PHY Demodulator for IEEE 802.11 WLAN System”, ISOCC 2017 (Chip Design Contest), November, 2017
International Conference on Telecommunications and Signal Processing (TSP) 2017
- Hyukyeon Lee, Hyunsub Kim, and Jaeseok Kim, “Near-ML Lattice Reduction-aided Detection Scheme for Low Complexity MIMO-OFDM Systems”, TSP 2017, July, 2017
International Conference on Electronics, Information, and Communication (ICEIC) 2017
- Sergelren Kwon, Hyukyeon Lee, and Jaeseok Kim, “An Effective Synchronization method for Impulse Radio Ultra-wideband System”, ICEIC 2017, January, 2017
IEEE TENCON 2016
- Jihye Koo, Hyunsub Kim, Hyukyeon Lee, Hanjun Kim, and Jaeseok Kim, “Low-Complexity Lattice Reduction Aided MIMO Detection for Hardware Implementation”, TENCON 2016, November, 2016
International Conference on Information Networking (ICOIN) 2016
- Hyukyeon Lee, Hyunsub Kim, Minjoon Kim, and Jaeseok Kim, “A Fast Convergence LLL algorithm with Fixed-Complexity for SIC-based MIMO Detection”, ICOIN 2016, January, 2016
International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2015
- Hyukyeon Lee, Hyunsub Kim, Minjoon Kim, and Jaeseok Kim, “Fixed-Complexity Even-Odd Sequence Lattice Reduction Algorithm for Large MIMO Systems”, ITC-CSCC 2015, June, 2015
IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN) 2015
- Hyunsub Kim, Hyukyeon Lee, and Jaeseok Kim, “MMSE-Based Lattice-Reduction-Aided Fixed-Complexity Sphere Decoder for Low-Complexity Near-ML MIMO Detection”, LANMAN 2015, April, 2015
Patent
International/Domestic
2014 ~ present
INT & KR Patent - 10-1763554, PCT/KR2018/001004
- Jaseok Kim, Hyukyeon Lee, Hyunsub Kim, and Jihye Koo, “Method and Device for Sorted QR Decomposition”, (Patent Registeration)
INT & KR Patent - 10-2015-0146640, 15/280512
- Jaseok Kim, Hyunsub Kim, and Hyukyeon Lee, “Apparatus and Method for Signal Detection in a Wireless Communication System”, (Patent Application)
KR Patent - 10-2018-0170231
- Jaseok Kim, Hyukyeon Lee, Kyungmook Oh, and Minjung Cho, “Lattice Reduction Apparatus and Method for Multiple Input Multiple Output Wireless Communication System”, (Patent Application)
KR Patent - 10-2018-0033798
- Jaseok Kim, Hyukyeon Lee, Kyungmook Oh, Hanjun Kim and Minjung Cho, “Apparatus and Method for Generating Pilot Pattern”, (Patent Application)
KR Patent - 10-1979101
- Jaseok Kim, Hanjun Kim, Hyunsub Kim, Hyukyeon Lee, and Sangwon Kim, “Method and Apparatus for Positioning Terminal Moving Indoors”, (Patent Registeration)
KR Patent - 10-1731723
- Jaseok Kim, Hyunsub Kim, and Hyukyeon Lee, “Method and Device for Detection Soft-Decision in MIMO Sstem”, (Patent Registeration)
KR Patent - 10-2014-0125253
- Jihun Koo, Minjoon Kim, Jangyong Park, Hyukyeon Lee, and Jaeseok Kim, “Apparatus and Method for Cancelling Interference in Communication System Supporting Multiple User Multiple-Input Multiple-Output Scheme”, (Patent Application)
Skills & Interests
Experienced Skills
- Wireless Communication PHY Signal Processing (MATLAB/Python)
- Linux Programming (Shell Script)
- Verilog HDL
- ASIC Front-end Design Flow (Design Compiler, PrimeTime, ModelSim, VCS)
- ASIC Back-end Design Flow (IC Compiler)
- FPGA Design (Xilinx ISE, Vivado)
Current Research Interests
- User Schedulling in mmWave low-resolution ADCs systems
- Sparse channel estimation in frequency-selective mmWave hybird systems
- Lattice reduction-aided massive MIMO detection


{% extends "pages/base_page.html" %} {% load pages_tags wagtailcore_tags wagtailimages_tags %} {% block page_title %}Our Revolution{% endblock %} {% block meta %} {{ block.super }} {% endblock %} {% block content %}
Our Revolution will reclaim democracy for the working people of our country by harnessing the transformative energy of the “political revolution.” Through supporting a new generation of progressive leaders, empowering millions to fight for progressive change and elevating the political consciousness, Our Revolution will transform American politics to make our political and economic systems once again responsive to the needs of working families.
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{{ news_item.newspost.abstract | striptags }}
ReadOur Revolution is a non-profit that runs off of funds from contributors like you. Help us continue this movement.


{{extend "layout.html"}}
{{=H1(title)}}
{{=H3(subtitle)}}
{{=T("Select the Cluster Layers for Assessments and Activities to analyse the Gaps:")}}
{{=UL(T("Assessments are shown as green, yellow, orange, red."),
T("Activities are blue.")
)}}
{{=XML(map)}}


---
layout: documentation
title: ReactiveX - Debounce operator
id: debounce
---
{% lang_operator RxClojure %}
TBD
{% endlang_operator %}
{% lang_operator RxCpp %}
TBD
{% endlang_operator %}
{% lang_operator RxGroovy debounce throttleWithTimeout %}
RxGroovy implements this operator as throttleWithTimeout
and debounce
.
Note that the last item emitted by the source Observable will be emitted in turn by this operator even if
the source Observable’s onCompleted
notification is issued within the time window you
specify since that item’s emission. That is to say: an onCompleted
notification will
not trigger a throttle.
One variant of throtleWithTimeout
/debounce
(two names for the same operator
variant) throttles at a periodic time interval that you choose by passing in a TimeUnit
and
a quantity of such units as parameters to the operator.
This variant operates by default on the computation
Scheduler , but you can optionally pass in a Scheduler of your choosing as
a third parameter.
There ia also a variant of debounce
(that does not have a throttleWithTimeout
alias) that throttles the source Observable by applying a function to each item it emits, this function
generating an Observable. If the source Observable emits another item before this newly-generated
Observable terminates, debounce
will suppress the item.
This variant of debounce
does not by default operate on any particular
Scheduler .
{% endlang_operator %}
{% lang_operator RxJava 1․x debounce throttleWithTimeout %}
RxJava implements this operator as throttleWithTimeout
and debounce
.
Note that the last item emitted by the source Observable will be emitted in turn by this operator even if
the source Observable’s onCompleted
notification is issued within the time window you
specify since that item’s emission. That is to say: an onCompleted
notification will
not trigger a throttle.
One variant of throtleWithTimeout
/debounce
(two names for the same operator
variant) throttles at a periodic time interval that you choose by passing in a TimeUnit
and
a quantity of such units as parameters to the operator.
This variant operates by default on the computation
Scheduler , but you can optionally pass in a Scheduler of your choosing as
a third parameter.
There ia also a variant of debounce
(that does not have a throttleWithTimeout
alias) that throttles the source Observable by applying a function to each item it emits, this function
generating an Observable. If the source Observable emits another item before this newly-generated
Observable terminates, debounce
will suppress the item.
This variant of debounce
does not by default operate on any particular
Scheduler .
{% endlang_operator %}
{% lang_operator RxJava 2․x debounce throttleWithTimeout %}
TBD
{% endlang_operator %}
{% lang_operator RxJS debounce debounceWithSelector throttleWithTimeout %}
The first variant — called either debounce
or throttleWithTimeout
—
accepts as its parameter a duration, defined as an integer number of milliseconds, and it suppresses any
emitted items that are followed by other emitted items during that duration since the first item’s
emission.
Sample Code
var times = [
{ value: 0, time: 100 },
{ value: 1, time: 600 },
{ value: 2, time: 400 },
{ value: 3, time: 700 },
{ value: 4, time: 200 }
];
// Delay each item by time and project value;
var source = Rx.Observable.from(times)
.flatMap(function (item) {
return Rx.Observable
.of(item.value)
.delay(item.time);
})
.debounce(500 /* ms */);
var subscription = source.subscribe(
function (x) {
console.log('Next: %s', x);
},
function (err) {
console.log('Error: %s', err);
},
function () {
console.log('Completed');
});
Next: 0
Next: 2
Next: 4
Completed
The debounceWithSelector
operator throttles the source Observable by applying a function to
each item it emits, this function generating an Observable. If the source Observable emits another item
before this newly-generated Observable terminates, debounce
will suppress the item.
Sample Code
var array = [
800,
700,
600,
500
];
var source = Rx.Observable.for(
array,
function (x) {
return Rx.Observable.timer(x)
})
.map(function(x, i) { return i; })
.throttleWithSelector(function (x) {
return Rx.Observable.timer(700);
});
var subscription = source.subscribe(
function (x) {
console.log('Next: ' + x);
},
function (err) {
console.log('Error: ' + err);
},
function () {
console.log('Completed');
});
Next: 0
Next: 3
Completed
debounce
and debounceWithSelector
are found in each of the following
distributions:
rx.all.js
rx.all.compat.js
rx.time.js
(requires rx.js
or rx.compat.js
)
rx.lite.js
rx.lite.compat.js
{% endlang_operator %}
{% lang_operator RxKotlin debounce throttleWithTimeout %}
TBD
{% endlang_operator %}
{% lang_operator Rx.NET Throttle %}
TBD
{% endlang_operator %}
{% lang_operator RxPY debounce throttle_with_selector throttle_with_timeout %}
TBD
{% endlang_operator %}
{% lang_operator Rx.rb %}
TBD
{% endlang_operator %}
{% lang_operator RxScala debounce throttleWithTimeout %}
TBD
{% endlang_operator %}
{% lang_operator RxSwift debounce throttle %}
TBD
{% endlang_operator %}


{
me(id: xxxxxxxxxx){
name
associates(orderasc:start_date) @filter(ge(start_date,"2006-06-01") and le(start_date,"2012-06-01")){
name
_uid_
start_date
percent_paid
paid
}
}
}


Cacti - T. tersheckii & Yoga
| DOSE: |
25 g |
oral |
Cacti |
(dried) |
My experience with psychedelics is fairly minimal. Iím an ex-pothead and Iíve also tried coke, salvia, nutmeg, codeine, and alcohol, although my proclivities lie with hallucinogens, Iíve just never been graced with the opportunities to try any of the drugs I would truly like to try. Until now. My 25 grams of dried Tersheckii had arrived and all the literature regarding mescaline dosages would have one to believe that this is a minimal dose. Roughly 75 mg of mescaline according to my calculations if 100 g dried=300 mg mescaline according to most sources.
It turned out to be a mild trip, but a TRIP in every sense of the word. The Tersheckii genus fascinates me in its apparent diversity of alkaloids not found in other species. Only until I try a Peruvian torch next week as a comparison, will I know the true nature of its effects. All in all, it was a gentle yet firm right of passage into the world of mescaline, and I wouldnít have it any other way.
Prepping the cactus in dried form was fairly easy. The dried chunks (for ornamental purposes only ;). were ground in a coffee grinder yielding a powdery consistency, and then added to water with some lemon juice producing one glass of a murky green/brown liquid which I downed in shot glasses over the course of 30 minutes chasing it with lemonade. I had planned on tripping during the day with a sitter, but boredom and anticipation got the best of me, so down the hatch my cactus went on a semi-full stomach.
As for the taste, it was not at all as bad as I had expected. Kind of tasted like slim-fast or some weird health smoothie. I find that confronting the taste head on, holding the drink in ones mouth before swallowing quickly, masks the taste to an almost enjoyable extent. Itís really just mind over matter. Nausea on this dosage was fairly minimal; I never threw up although I tried. Throughout the trip the nausea was always there, it wasnít uncomfortable per se, but rather encouraging, as I knew the mescaline was working. Kind of like the drip on coke but in ones stomach.
T-2 hours:
After two hours of coming up and slight alterations in perception, I knew I had arrived. The anticipated ďright brainĒ stimulation of the visual cortex was evident at this point, and every crevice and nuance of facial expression was amplified yielding a cartoon-like feel. I went to the mirror to watch my face distort into a thousand different images. Very Picasso.
I walked around my apartment complex feeling distinct exaggerations of spatial orientation, at times I felt like a giant in a really small house, and at times a midget in a really big house. I felt distinct lapses in time and space, a sort of duality of consciousness; I existed in multiple realities, but at the same time remained very grounded physically. I felt at one with my body and surroundings, and realized my true place on the timeline of the universe. Time slowed down and allowed me to laugh and regroup from the world, and just to have fun as innocently and honestly as a child.
T-3 hours:
The sense of touch was amazing on mescaline, as well as bodily awareness. I felt pulses of energy, heat and cold running through my spine and hands. At one point I actually was able to visualize my DNA strand and see points of pressure that corresponded to pain in areas of my body, and then repair it through a weird form of telekinesis.
I felt utterly cleansed after this experience. I put on Pink Floydsí greatest hits album and reviled in the amorphous lizards and colorful lattices which were to inhabit my headspace for the next few hours. Otherworldly geometries and angles morphed along with the music in a sort of ancient dance. I kept having visions of a cactus in the dessert and feeling so grateful and awed by its subconscious presence.
T-4 hours:
The only real open eye visuals experienced was a morphing and breathing of the windows and walls. Colors were amazing, and pale blue, light green, maroon, and orange seemed to predominate. I remember wanting to make a quilt or something out of these beautiful hues so that everyone could experience them.
T-5 hours:
At this point Iím slowly on the comedown, but still in awe of the colorful morphing window and the singing lamp by my bedpost. I go to the mirror to make some more faces.
T-7 hours:
At about 7 hours after ingestion, I kind of wanted the trip to end and to go to sleep. The amped body load never truly subsided and sleeping was proving to be very difficult. I would recommend tripping during the day so as not to be bothered by lethargy, although the sort of dreamy, lucid state I achieved whilst half-asleep towards the end offered an interesting perspective in its own right.
t-8 hours:
The most interesting aspect of this trip seemed to be at the very end when I felt a sort of pulsing energy in the lower back of my spine. From what most literature on the Internet suggests, Iím presuming that what I experienced was some sort of kundalini awakening, which is an opening of the charkas to facilitate the flow of bodily energy and an intense spiritual awakening. It was rather intense and uncomfortable at times but truly amazing.
For instance, twisting my spine in certain directions released this flow of energy like a dam bursting, which was then followed by the most beautiful visuals and almost alien sensations of pleasure. After doing some yoga, out of osmosis (Iíve never done yoga before), I could harness this powerful energy and manipulate it to my advantage. I finally went to bed at 7:00 AM after ingesting the cactus at 11 PM.
That was yesterday. Today I feel so much at peace with my body and mind, and with my place in the universe, and I look forward to further adventures with this wonderful teacher. Be safe, and happy tripping
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{% extends 'layouts/layout-manage-app.html' %} {% block pageTitle %} You are now logged out {% endblock %} {% block content %}
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The congress.dse2.dse_node
Module¶
-
class
congress.dse2.dse_node.
DseNode
(messaging_config, node_id, node_rpc_endpoints, partition_id=None)¶ Bases:
object
Addressable entity participating on the DSE message bus.
The Data Services Engine (DSE) is comprised of one or more DseNode instances that each may run one or more DataService instances. All communication between data services uses the DseNode interface.
- Attributes:
node_id: The unique ID of this node on the DSE. messaging_config: Configuration options for the message bus. See
oslo.messaging for more details.- node_rpc_endpoints: List of object instances exposing a remotely
- invokable interface.
-
CONTROL_TOPIC
= 'congress-control'¶
-
EXCHANGE
= 'congress'¶
-
RPC_VERSION
= '1.0'¶
-
SERVICE_TOPIC_PREFIX
= 'congress-service-'¶
-
broadcast_node_rpc
(method, kwargs=None)¶ Invoke RPC method on all DSE Nodes.
- Args:
- method: The method name to call. kwargs: A dict of method arguments.
- Returns:
- None - Methods are invoked asynchronously and results are dropped.
Raises: RemoteError, MessageDeliveryFailure
-
broadcast_service_rpc
(service_id, method, kwargs=None)¶ Invoke RPC method on all instances of service_id.
- Args:
- service_id: The ID of the data service on which to invoke the call. method: The method name to call. kwargs: A dict of method arguments.
- Returns:
- None - Methods are invoked asynchronously and results are dropped.
Raises: RemoteError, MessageDeliveryFailure
-
create_datasource_service
(datasource)¶ Create a new DataService on this node.
- :param name is the name of the service. Must be unique across all
- services
- :param classPath is a string giving the path to the class name, e.g.
- congress.datasources.fake_datasource.FakeDataSource
- :param args is the list of arguments to give the DataService
- constructor
:param type_ is the kind of service :param id_ is an optional parameter for specifying the uuid.
-
delete_missing_driver_datasources
()¶
-
dse_status
()¶ Return latest observation of DSE status.
-
get_datasource
(id_)¶ Return the created datasource.
-
get_datasources
(filter_secret=False)¶ Return the created datasources as recorded in the DB.
This returns what datasources the database contains, not the datasources that this server instance is running.
-
get_driver_info
(driver_name)¶
-
get_driver_schema
(drivername)¶
-
get_drivers_info
()¶
-
get_global_service_names
(hidden=False)¶ Return names of all services on all nodes.
-
get_services
(hidden=False)¶ Return all local service objects.
-
get_subscribers
(service_id)¶ List of services subscribed to this service.
-
get_subscription
(service_id)¶ Return publisher/tables subscribed by service: service_id
Return data structure: {publisher_id -> set of tables}
-
invoke_node_rpc
(node_id, method, kwargs=None, timeout=None)¶ Invoke RPC method on a DSE Node.
- Args:
- node_id: The ID of the node on which to invoke the call. method: The method name to call. kwargs: A dict of method arguments.
- Returns:
- The result of the method invocation.
Raises: MessagingTimeout, RemoteError, MessageDeliveryFailure
-
invoke_service_rpc
(service_id, method, kwargs=None, timeout=None, local=False, retry=None)¶ Invoke RPC method on a DSE Service.
- Args:
- service_id: The ID of the data service on which to invoke the call. method: The method name to call. kwargs: A dict of method arguments.
- Returns:
- The result of the method invocation.
Raises: MessagingTimeout, RemoteError, MessageDeliveryFailure, NotFound
-
is_valid_service
(service_id)¶
-
load_drivers
()¶ Load all configured drivers and check no name conflict
-
make_datasource_dict
(req, fields=None)¶
-
node_rpc_target
(namespace=None, server=None, fanout=False)¶
-
publish_table
(publisher, table, data)¶ Invoke RPC method on all insances of service_id.
- Args:
- service_id: The ID of the data service on which to invoke the call. method: The method name to call. kwargs: A dict of method arguments.
- Returns:
- None - Methods are invoked asynchronously and results are dropped.
Raises: RemoteError, MessageDeliveryFailure
-
publish_table_sequenced
(publisher, table, data, is_snapshot, seqnum)¶ Invoke RPC method on all insances of service_id.
- Args:
- service_id: The ID of the data service on which to invoke the call. method: The method name to call. kwargs: A dict of method arguments.
- Returns:
- None - Methods are invoked asynchronously and results are dropped.
Raises: RemoteError, MessageDeliveryFailure
-
register_service
(service)¶
-
service_object
(service_id=None, uuid_=None)¶ Return the service object requested.
Search by service_id or uuid_ (only one should be supplied). None if not found.
-
service_rpc_target
(service_id, namespace=None, server=None, fanout=False)¶
-
start
()¶
-
stop
()¶
-
subscribe_table
(subscriber, publisher, table)¶ Prepare local service to receives publications from target/table.
-
table_subscribers
(publisher, table)¶ List services on this node that subscribes to publisher/table.
-
to_set_of_tuples
(snapshot)¶
-
unregister_service
(service_id=None, uuid_=None)¶ Unregister service from DseNode matching on service_id or uuid_
Only one should be supplied. No-op if no matching service found.
-
unsubscribe_table
(subscriber, publisher, table)¶ Remove subscription for local service to target/table.
-
validate_create_datasource
(req)¶
-
wait
()¶
-
class
congress.dse2.dse_node.
DseNodeEndpoints
(dsenode)¶ Bases:
object
Collection of RPC endpoints that the DseNode exposes on the bus.
Must be a separate class since all public methods of a given class are assumed to be valid RPC endpoints.
-
handle_publish
(context, publisher, table, data)¶ Function called on the node when a publication is sent.
Forwards the publication to all of the relevant services.
-
handle_publish_sequenced
(context, publisher, table, data, is_snapshot, seqnum)¶ Function called on the node when a publication is sent.
Forwards the publication to all of the relevant services.
-


The distributed array type constructor supports HPF-like [30] data distributions. However, unlike in HPF, the storage order may be specified for C arrays as well as for Fortran arrays.
Advice to users.
One can create an HPF-like file view using this type constructor
as follows.
Complementary filetypes are created by having every process of a group
call this constructor with identical arguments
(with the exception of rank which should be set appropriately).
These filetypes (along with identical disp and etype)
are then used to define the view (via MPI_FILE_SET_VIEW),
see MPI I/O, especially Section Definitions
on page Definitions
and Section File Views
on page File Views
.
Using this view,
a collective data access operation (with identical offsets)
will yield an HPF-like distribution pattern.
( End of advice to users.)
| MPI_TYPE_CREATE_DARRAY(size, rank, ndims, array_of_gsizes, array_of_distribs, array_of_dargs, array_of_psizes, order, oldtype, newtype) | |
| IN size | size of process group (positive integer) |
| IN rank | rank in process group (non-negative integer) |
| IN ndims | number of array dimensions as well as process grid dimensions (positive integer) |
| IN array_of_gsizes | number of elements of type oldtype in each dimension of global array (array of positive integers) |
| IN array_of_distribs | distribution of array in each dimension (array of state) |
| IN array_of_dargs | distribution argument in each dimension (array of positive integers) |
| IN array_of_psizes | size of process grid in each dimension (array of positive integers) |
| IN order | array storage order flag (state) |
| IN oldtype | old datatype (handle) |
| OUT newtype | new datatype (handle) |
int MPI_Type_create_darray(int size, int rank, int ndims, int array_of_gsizes[], int array_of_distribs[], int array_of_dargs[], int array_of_psizes[], int order, MPI_Datatype oldtype, MPI_Datatype *newtype)
MPI_TYPE_CREATE_DARRAY can be used to generate
the datatypes corresponding to the distribution
of an ndims-dimensional array of oldtype elements
onto
an ndims-dimensional grid of logical processes.
Unused dimensions of array_of_psizes should be set to 1.
(See Example Distributed Array Datatype Constructor
, page Distributed Array Datatype Constructor
.)
For a call to MPI_TYPE_CREATE_DARRAY to be correct,
the equation prodi=0ndims-1 array_of_psizes[i] = size
must be satisfied.
The ordering of processes in the process grid is assumed to be
row-major, as in the case of virtual Cartesian process topologies
.
For both Fortran and C arrays, the ordering of processes in the
process grid is assumed to be row-major. This is consistent with the
ordering used in virtual Cartesian process topologies in
MPI.
To create such virtual process topologies, or to find the coordinates
of a process in the process grid, etc., users may use the corresponding
process topology functions,
see Chapter Process Topologies
on page Process Topologies
.
( End of advice to users.)
Each dimension of the array
can be
distributed in one of three ways:
For example, the HPF layout ARRAY(CYCLIC(15))
corresponds to MPI_DISTRIBUTE_CYCLIC
with a distribution argument of 15, and the HPF layout ARRAY(BLOCK)
corresponds to
MPI_DISTRIBUTE_BLOCK with a distribution argument of
MPI_DISTRIBUTE_DFLT_DARG.
The order argument is used as in MPI_TYPE_CREATE_SUBARRAY to
specify the storage order.
Therefore, arrays described by this type constructor may be
stored in Fortran (column-major) or C (row-major) order.
Valid values for order are
MPI_ORDER_FORTRAN and MPI_ORDER_C.
This routine creates a new MPI datatype with a typemap defined in
terms of a function called ``cyclic()'' (see below).
Without loss of generality, it suffices to define the typemap
for the MPI_DISTRIBUTE_CYCLIC case where
MPI_DISTRIBUTE_DFLT_DARG is not used.
MPI_DISTRIBUTE_BLOCK and MPI_DISTRIBUTE_NONE
can be reduced to the MPI_DISTRIBUTE_CYCLIC case
for dimension
i
as follows.
MPI_DISTRIBUTE_BLOCK with
array_of_dargs[i] equal to MPI_DISTRIBUTE_DFLT_DARG
is equivalent to
MPI_DISTRIBUTE_CYCLIC
with array_of_dargs[i] set to
(mpiargarray_of_gsizes[i] + mpiargarray_of_psizes[i] - 1)
/ mpiargarray_of_psizes[i].
If array_of_dargs[i] is not MPI_DISTRIBUTE_DFLT_DARG,
then MPI_DISTRIBUTE_BLOCK and MPI_DISTRIBUTE_CYCLIC
are equivalent.
MPI_DISTRIBUTE_NONE is equivalent to
MPI_DISTRIBUTE_CYCLIC
with array_of_dargs[i] set to array_of_gsizes[i].
Finally,
MPI_DISTRIBUTE_CYCLIC with
array_of_dargs[i] equal to MPI_DISTRIBUTE_DFLT_DARG
is equivalent to
MPI_DISTRIBUTE_CYCLIC with
array_of_dargs[i] set to 1.
For MPI_ORDER_FORTRAN,
an ndims-dimensional distributed array ( newtype)
is defined by the following code fragment:
Given the above, the function cyclic() is defined as follows:
where count is defined by this code fragment:
MPI_TYPE_CREATE_DARRAY(SIZE, RANK, NDIMS, ARRAY_OF_GSIZES, ARRAY_OF_DISTRIBS, ARRAY_OF_DARGS, ARRAY_OF_PSIZES, ORDER, OLDTYPE, NEWTYPE, IERROR)
INTEGER SIZE, RANK, NDIMS, ARRAY_OF_GSIZES(*), ARRAY_OF_DISTRIBS(*), ARRAY_OF_DARGS(*), ARRAY_OF_PSIZES(*), ORDER, OLDTYPE, NEWTYPE, IERROR
{ MPI::Datatype MPI::Datatype::Create_darray(int size, int rank, int ndims, const int array_of_gsizes[], const int array_of_distribs[], const int array_of_dargs[], const int array_of_psizes[], int order) const (binding deprecated, see Section Deprecated since MPI-2.2
) }
Advice to users.
The constant MPI_DISTRIBUTE_DFLT_DARG specifies
a default distribution argument.
The distribution argument for a dimension that is not distributed
is ignored.
For any dimension
i
in which the distribution
is MPI_DISTRIBUTE_BLOCK,
it is erroneous
to specify
array_of_dargs[i] * array_of_psizes[i]
< array_of_gsizes[i].
oldtype[0] = oldtype;
for ( i = 0; i < ndims; i++ ) {
oldtype[i+1] = cyclic(array_of_dargs[i],
array_of_gsizes[i],
r[i],
array_of_psizes[i],
oldtype[i]);
}
newtype = oldtype[ndims];
For MPI_ORDER_C, the code is:
oldtype[0] = oldtype;
for ( i = 0; i < ndims; i++ ) {
oldtype[i + 1] = cyclic(array_of_dargs[ndims - i - 1],
array_of_gsizes[ndims - i - 1],
r[ndims - i - 1],
array_of_psizes[ndims - i - 1],
oldtype[i]);
}
newtype = oldtype[ndims];
where r[i] is the position of the process (with rank rank)
in the process grid at dimension i.
The values of r[i] are given by the following code fragment:
t_rank = rank;
t_size = 1;
for (i = 0; i < ndims; i++)
t_size *= array_of_psizes[i];
for (i = 0; i < ndims; i++) {
t_size = t_size / array_of_psizes[i];
r[i] = t_rank / t_size;
t_rank = t_rank % t_size;
}
Let the typemap of oldtype have the form:
{(type0,disp0),(type1,disp1),...,(typen-1,dispn-1)}
where typei is a predefined MPI datatype, and let ex be the
extent of oldtype.
nblocks = (gsize + (darg - 1)) / darg;
count = nblocks / psize;
left_over = nblocks - count * psize;
if (r < left_over)
count = count + 1;
Here, nblocks is the number of blocks that must be
distributed among the processors.
Finally, darglast is defined by this code fragment:
if ((num_in_last_cyclic = gsize % (psize * darg)) == 0)
darg_last = darg;
else
darg_last = num_in_last_cyclic - darg * r;
if (darg_last > darg)
darg_last = darg;
if (darg_last <= 0)
darg_last = darg;
Example
Consider generating the filetypes corresponding to the HPF distribution:
<oldtype> FILEARRAY(100, 200, 300)
!HPF$ PROCESSORS PROCESSES(2, 3)
!HPF$ DISTRIBUTE FILEARRAY(CYCLIC(10), *, BLOCK) ONTO PROCESSES
This can be achieved by the following Fortran code,
assuming there will be six processes attached to the run:
Up: Derived Datatypes
Next: Address and Size Functions
Previous: Subarray Datatype Constructor
Return to MPI-2.2 Standard Index
Return to MPI Forum Home Page
(Unofficial) MPI-2.2 of September 4, 2009
HTML Generated on September 10, 2009


You all know these Insect Mesh Things you can put inside windows to prevent the insects from flying inside.
Someone had some leftover mesh and the side pieces, but no corners left. Instead of ordering a whole new thing, we make the Corners ourselves.
There were 4 pieces milled from Aluminum. The FreeCAD Files are here. Unfortunately there are no pictures of the Part this time, as it is already installed.


Socket class. It is responsible for managing the communication on the server side.
More...
#include <server_Socket.hpp>
|
|
vector< int > | clients |
| | Vector that stores all the descriptors that are connected to this socket.
|
| |
|
|
int | descriptor |
| | Attribute that the system returns when a new socket port is assigned.
|
| |
|
sockaddr_in | socketInfo |
| | Information of the socket type and the type of connection made with the other socket port (clients)
|
| |
|
vector< dataSocketServer > | cThreads |
| |
|
string | code |
| | It indicades the code of the game.
|
| |
|
int | max_cap |
| | Maximun amount of clients.
|
| |
|
int | port |
| | port of this connection
|
| |
Socket class. It is responsible for managing the communication on the server side.
◆ addClients()
| void server_Socket::addClients |
( |
| ) |
|
Add the other clients to the game (To the limit).
- Note
- REQUIRES GAME CODE
◆ clientHandler()
| void * server_Socket::clientHandler |
( |
void * |
object | ) |
|
|
private |
Listen to your connection (This method runs on a thread created by socketServer :: run ()) and receives the messages from the client through the input buffer.
- Parameters
-
| object | [in]: socket of that specific connection |
- Returns
- [out]: void
◆ connectWithClients()
| bool server_Socket::connectWithClients |
( |
| ) |
|
|
private |
Method that makes the acceptance of clients to the connection. He adds them to the customer vector.
- Returns
- [out]: A bool that indicates if a new client could connect.
◆ createSocket()
| bool server_Socket::createSocket |
( |
| ) |
|
|
private |
Configure the port, IP address and protocols for the connection.
- Returns
- [out]: A bool that indicates if socket was created.
◆ msgHandler()
| void server_Socket::msgHandler |
( |
const char * |
msg | ) |
|
|
virtual |
Its purpose is to work with the message received from the client.
- Note
- This class must be implemented according to the needs of the developer
- Parameters
-
Reimplemented in Game.
◆ runServer()
| void server_Socket::runServer |
( |
| ) |
|
Run the socket on the Server Create a thread for the listening of each client. [REDIRECT TO socketServer::clientController()].
- Parameters
-
| n[in] | Maximun amount of clients that socket can manage |
◆ sendMessagetoAll()
| void server_Socket::sendMessagetoAll |
( |
string |
msg | ) |
|
Method that is responsible for sending messages to all connected clients.
- Parameters
-
| message | [in]: Messages that the server must send to clients |
The documentation for this class was generated from the following files:


--- title: Summer's Not Over Yet! date: 2015-08-26 00:00:00 -06:00 categories: - whats-blooming layout: post blog-banner: whats-blooming-now-summer.jpg post-date: August 26, 2015 post-time: 3:39 PM blog-image: wbn-default.jpg ---
Blue Anise Sage Salvia 'Argentine Skies'
There is much more to the Rose Garden than just roses, like this captivating Salvia with its illuminating blue color!
Lady's Mantle Alchemilla mollis
While in the Rose Garden, this beautiful green leaved groundcover with cute star shaped flowers is not to be missed.
Vermillion Bluffs® Mexican Sage Salvia darcyi 'Pscarl'
Come for the roses, stay for this vibrant colored Salvia.
White Corydalis Corydalis lutea 'Alba'
This small elegant beauty can be found on the rock wall at the bottom of the Floral Walk.
Funfare Wine Cape Fuchsia Phygelius x rectus 'Funfare Wine'
Don't miss these handsome flowers, named for their wine-red colored throats.


Show Menu
Home
About
Ingredients and steps
More Cookies!
How to Bake Cookies the Right Way
Follow the instructions on this website to learn how to make cookies the right way without messing up. By using this guide, your cookies will not have melted chocolate chips or stick together in the oven.


|
Molecular chaperones
|
| Heat shock protein 90, putative |
7.44 |
0E0 |
ATP binding |
| Heat shock 70 kDa protein |
8.30 |
0E0 |
ATP binding |
| Heat shock 70 kDa protein 4 isoform X1 |
8.91 |
2.71E−39 |
Integral component of membrane, ATP binding, nucleus |
| Hypoxia up-regulated protein 1 |
6.84 |
4.73E−29 |
Integral component of membrane, ATP binding |
| Heat shock protein beta-1-like |
4.26 |
1.23E−26 |
|
| T-complex protein 1 subunit alpha |
8.04 |
3.43E−120 |
|
| T-complex protein 1 subunit beta |
7.85 |
4.26E−97 |
ATP binding |
| T-complex protein 1 subunit epsilon |
6.58 |
0E0 |
|
| T-complex protein 1 subunit zeta |
6.79 |
2.75E−170 |
ATP binding |
| T-complex protein 1 subunit theta-like |
5.07 |
4.02E−79 |
|
| Chaperonin CPN60-2, mitochondrial |
7.23 |
0E0 |
Mitochondrion |
| 10 kDa heat shock protein, mitochondrial |
6.28 |
4.89E−21 |
Mitochondrion |
|
Antioxidants
|
| Catalase |
5.30 |
0E0 |
Oxidoreductase activity |
| Glutathione S-transferase-like |
5.56 |
8.42E−33 |
Transferase activity |
| Peroxiredoxin-1 |
6.49 |
1.66E−53 |
Oxidoreductase activity |
| Superoxide dismutase |
7.50 |
1.37E−51 |
|
|
Energy metabolism
|
| Triosephosphate isomerase |
5.25 |
2.01E−60 |
|
| Glyceraldehyde 3-phosphate dehydrogenase |
5.91 |
7.56E−131 |
|
| Enolase |
7.98 |
3.92E−162 |
Nucleus |
| Citrate synthase |
7.65 |
1.23E−136 |
Transferase activity, mitochondrion |
| Isocitrate dehydrogenase |
7.78 |
3.28E−35 |
Oxidoreductase activity, mitochondrion |
| Succinate dehydrogenase [ubiquinone] iron-sulfur Subunit, mitochondrial |
7.47 |
4.61E−114 |
Oxidoreductase activity, mitochondrion |
| Malate dehydrogenase |
8.72 |
3.81E−113 |
Oxidoreductase activity |
| NADH dehydrogenase [ubiquinone] flavoprotein 1, mitochondrial |
7.59 |
0E0 |
Oxidoreductase activity, mitochondrion |
| Cytochrome c oxidase subunit 7C, mitochondrial-like |
6.67 |
2.63E−18 |
Oxidoreductase activity, mitochondrion |
| Alternative oxidase |
8.90 |
2.50E−144 |
Integral component of membrane, oxidoreductase activity |
|
Immune response
|
| Big defensin 1 |
− 3.56 |
3.24E−39 |
Extracellular region, defense response to Gram-negative bacterium, defense response to Gram-positive bacterium |
| Lysozyme |
− 3.60 |
3.86E−66 |
Extracellular region, defense response to Gram-negative bacterium, defense response to Gram-positive bacterium |


Drops wscript.exe and a custom manifest into C:\\Windows\\ "
"and then proceeds to execute VBScript using the wscript executable"- "with the new manifest. The VBScript executed by C:\\Windows\\wscript.exe will run elevated.
http://seclist.us/uac-bypass-vulnerability-in-the-windows-script-host.html',
'https://github.com/Vozzie/uacscript'
moduleSource = self.mainMenu.installPath + "/data/module_source/privesc/Invoke-WScriptBypassUAC.ps1


CA Animation
Animation family tree
- CA Animattion
- CA Animation Group
- CA Property Animation
- CA Transition
- CA basic animation is for linear animation
- keyanimattion is for more specific or non-linear animation
- CA Animattion
Animated Properties
- CGColorRef -> shadowColor, borderColor
- NSNumber (float) -> opactity, shadowRadius
- NSVAlue (CGRect) -> bounds, contentsRect
- NSValue (CGPoint) -> anchorPoint (is the center point for rotation), position
- NSValue (CATransform3D) -> transform
CATransform3d
- CoreGraphics is just in 2 dimensions
- Can add a perspective column in the z column – (as opposed to just x and y planes (the 3rd column is for perspective) – to create the illusion that it is tilted back
Easing: to control the acceleration or deceleration of the objects in the animation. This is used to simulate real life forces like friction or gravity.
Web Services
- Synchronous URL Fetch (not recommended) -> if you block the main thread, your application will freeze
- NSURLConnection -(request)-> NSMutableURLRequest -(URL)-> NSURL
- NSURLConnection, the class of CocoaTouch to send requests to web services
- NSURLConnection -(request)-> NSMutableURLRequest -(URL)-> NSURL
Asynchronous URL Fetch (the one we are going to use)
we can block the whole app execution until the web service responds OR send the request and forget about it, avoiding blocking the app execution. Once the service responds we process the result.
- The later option is the right one.
- We send and Asynchronous request to the service using a NSOperationQueue. This block of code will be executed in a background Queue defined by the NSOperationQueue.
- This block receives three parameters:
- response: An object with an instance of NSURLResponse.
- data: The response returned by the service as a NSData object.
- error: An NSError with the error, if any, returned by the service.
- This block receives three parameters:
Core Data
- StoreTypes
- SQlite, binary file, NOT xml formats (only available in OS10)
- Predicates
- NSManagedObject
- class capable of storing data for an instance of any entity.
- access properties (attributes, relationships) via key-value coding methods (valueForKey:, setValue:forKey)
- Relationships
- delete rule: “if an attempt is made to delete the source object…”
- nullify (the inverse relationship)
- deny (if any destination relationships)
- cascade (delete any destination relationships, too) -> very dangeous
- No action
- delete rule: “if an attempt is made to delete the source object…”
1 2 3 4 5 6 7 8 9 10 11 12 13 |
|
- The relationships in Core Data are circular, what these means is that if we want to create a relationship from Movie to Director we also need another one from Director to Movie.
Debugger
- rake debug=1, backtrace (or bt), fr
- n to step to the next line in the file
- quit to quit.
3rd Party Libs
- CorePlot -> to build graphs


Contact Details
Tulipe, Jasmine
jtulipe
DECOLONY
Admin
Pharmacology
Copywriting
- Pharmacology
- Copywriting
Product demo copyright
Start working on the UI
- Product demo copyright
- Start working on the UI


Always Outnumbered (1998)
Grade: 87
Made-for-television movies do not get the respect they sometimes deserve. HBO made one of the best films last year, "Don King: Only in America", and "Always Outnumbered" is one of the best films of this year. But these films are relegated to instant obscurity, because the only screens that they are shown on reside in living rooms and bedrooms.
"Always Outnumbered" stars Laurence Fishburne as ex-convict Socrates Fortlow, paroled after serving a long sentence for double murder. He has moved to a Los Angeles ghetto, and ekes out an existence collecting bottles and cans from dumpsters. He tries to get a better job, but his stubborness and intimidating presence interfere.
With little going for him except pride and determination, Fortlow has more success helping others than himself. He semi-adopts a young street kid (Daniel Williams), steering him away from a gang. He helps save the marriage of a troubled neighbor couple, and gets medical help for a an aging, ailing friend (Bill Cobbs).
While Fortlow becomes a hero, his achievements are not just due to his integrity. He is a big, intimidating man, and he regularly takes advantage of his size to get his points across. A lesson here is that if you must live in poverty, it really helps to be built like a linebacker.
Walter Mosley, who also wrote the book, wrote the screenplay. He probably deserves even more credit than director Michael Apted. The script is outstanding, with the only flaws showing up at the film's end, when the loose ends are all tied up perhaps too neatly. Early scenes also threaten to stereotype minor white characters as jerks, but this tendency is overcome later in the film.
It is possible that "Always Outnumbered" would not be successful as a theatrical release, despite its quality. Fishburne, Cobbs and Natalie Cole are a generation older than young filmgoers who might prefer to see Will Smith. The depiction of urban poverty and youth gangs is not glamorized. There is no room for comedy in this stark drama. Once again, we can be grateful for HBO for ignoring demographics and simply producing an excellent film.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.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


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AC Milan boss Pioli 'confident for the future' after Napoli draw
by OmnisportAC Milan boss Stefano Pioli said he felt "confident for the future" after his side battled to a 1-1 draw with Napoli at San Siro.
Giacomo Bonaventura scored his first goal in more than a year to cancel out Hirving Lozano's opener and earn Milan a point in Saturday's Serie A clash.
The Rossoneri have won just one of six matches since Pioli replaced Marco Giampaolo last month, but the ex-Fiorentina boss was pleased with his team's latest display.
"We played a good game, despite the absentees and other difficulties," he said at his post-match news conference.
"I am seeing great determination and awareness and I'm confident for the future, but there is still a long way to go.
"I have only been working here for 45 days. You cannot say that the team does not fight.
"We all feel the sense of urgency to win games and we have the possibility to do that in our next matches, though it will not be easy."
Milan have collected just 14 points from their opening 13 matches and are down in 13th, 10 points adrift of the Champions League qualification spots.
Zlatan Ibrahimovic continues to be linked with a return to the club he represented between 2010 and 2012, but Pioli reiterated that he is not looking ahead to the transfer window.
"In January we will see," he said. "Tomorrow we go back to work because from here until then there are 12 more points available."
A major positive for Pioli was the performance of Bonaventura, who marked his second Serie A start of the season with a first goal since October 2018, driving home a fine 20-yard strike.
"He is not only strong but also very intelligent," Pioli said. "He knows where to move and when to do it. 'Jack' played for 90 minutes and did very well."
Next up for Milan are back-to-back away trips to Parma and Bologna, with left-back Theo Hernandez hoping to build some momentum from those matches.
"This was a very important point for us," Hernandez told Sky Sport Italia. "We knew it would be complicated against a good opponent, but now we have to win games.
"Milan cannot stay where we are in the table. We have to concentrate on the matches ahead and take it one step at a time to improve game by game."


|
LinusThe authority of the Roman Catholic church is based entirely on its claim that the papacy represents an unbroken succession from St. Peter the Apostle to the current pope, John Paul II.There are numerous issues surrounding this claim, but perhaps the most important is that it hinges on two historical figures about whom virtually nothing is known -- St. Linus, the second pope, and St. Cletus, the third pope. In the case of Cletus, even his name is a matter of dispute. Linus lived in the first century, became pope in 67 C.E. and died around 76 C.E. The first historical record that refers to Linus, purportedly the direct successor of Peter, was written in 189 C.E. This is a big, big problem. Why? Consider the following question, without resorting to Google: Who was Benjamin Harrison's vice president? For that matter, name any three historical facts about Benjamin Harrison himself. All right now, that was about 110 years ago, and the name of Levi P. Morton is enshrined in copious official records and history books. Harrison was president of the United States, for God's sake. And yet, our collective memory has already forgotten them both. In 189 C.E., there were no printing presses, and literacy wasn't a given. The first written record concerning Linus arrived more than 100 years after the date that he died (we think). We can't even be sure that such a person existed, let alone be certain of the details of his life. The sketchy traditions around the life of Linus are pretty sparse. He was believed to be an Italian from Tuscany, but his name is Greek, not Roman. It's vaguely believed that he was the same Linus who is the subject of a single glancing reference in one of Paul's letters in the New Testament, but even the church won't vouch for that as an unimpeachable fact. The first reference to Linus appears in the chronicles of Irenaeus, the infamous heresy hunter, whose mission in life was to consolidate the authority of the Roman church and squash what he viewed as inappropriate deviations from the teachings of Christ (such as Gnosticism). In other words, Irenaeus is not exactly an objective historian. His record of Linus was supposedly based on a list of the bishops of Rome. Irenaeus wrote:
After the Holy Apostles (Peter and Paul) had founded and set the Church in order (in Rome) they gave over the exercise of the episcopal office to Linus. The same Linus is mentioned by St. Paul in his Epistle to Timothy. His successor was Anacletus. You might want to read that paragraph a few times, because it's the entire basis of the authority of the Roman Catholic church. Without this paragraph, there is no legitimate historical record to support the key Catholic doctrine of the "apostolic succession," which states that Catholicism is the only true religion because it was directly handed down from the Apostle Peter, whom Jesus Christ supposedly selected to lead the church. Whether Jesus made any such selection is an entirely different can of worms which we'll reserve for another day, as well as the additional issue of whether being bishop of Rome inherently entitled anyone to the leadership of the entire Christian community. The point here is that the most important part of the apostolic succession -- the part that actually connects to Peter -- is unverifiable. The entire foundation of the apostolic succession is one paragraph written by a Roman Catholic propagandist more than 100 years after the fact. And Irenaeus tells us virtually nothing about what actually happened. How was Linus selected? How was the authority passed to him? Exactly what authority was passed to him? Was he empowered to choose his own successor? Did Linus consider himself infallible, as the popes who followed him would claim for themselves? Did he consider himself leader of all Christians or just the Romans? Did he wear a funny hat? Was he married (and there's no reason to think he wouldn't have been)? Had he been circumcised? Another 100 years would pass before the next historically significant reference to the career of Linus in church annals. By the fourth century, the Church fathers were reduced to rank speculation about who this guy Linus was, and what he had to do with the church. Things were even worse when it came to the third pope, who may or may not have been named Anacletus. Interestingly, Catholic tradition calls him St. Cletus, which means that the Church didn't even trust Irenaeus to get his names straight. And the description by Irenaeus cited above is the only historical record of Anacletus, or Cletus, or whatever the hell his name was. He may also have been named Anencletus, and he might have been the fourth pope, rather than the third one. It's somewhat vaguely believed he was pope for between two and eight years before being martyred. You can probably see how there might be some room for error in here. There is absolutely no other tradition or history associated with Cletus. No one knows anything about him, not even the church. Except that Church doctrine, by implication, demands that he was the successor to Peter and that he passed that succession on to the next mainstream bishop of Rome. Over the course of centuries, a few traditional beliefs have developed about St. Linus, none of which have any historical veracity, but we'll include them for the sake of completeness. According to church tradition:
The first ever guy who can reasonably be considered an "official" pope (in the sense that his life and rank are documented at a time even remotely close to his lifetime) is Clement I. While Clement is pretty well documented and even left an epistle as evidence of his existence, there is still no absolute consensus about whether he was the third or fourth pope, which isn't exactly reassuring on the whole historical accuracy front.
|


The HashSetFn
functor provides a hash-table-based implementation
of imperative sets parameterized over a Key
structure.
Synopsis
signature MONO_HASH_SET
functor HashSetFn (Key : HASH_KEY) : MONO_HASH_SET
Functor Argument Interface
Key : HASH_KEY
Functor Argument Description
Key : HASH_KEY
-
A structure that implements the HASH_KEY` signature, where
Key.hash_key
will be the type of the elements in the hash set.
Interface
structure Key : HASH_KEY
type item = Key.hash_key
type set
val mkEmpty : int -> set
val mkSingleton : item -> set
val mkFromList : item list -> set
val toList : set -> item list
val add : set * item -> unit
val addc : set -> item -> unit
val addList : set * item list -> unit
val subtract : set * item -> unit
val subtractc : set -> item -> unit
val subtractList : set * item list -> unit
val delete : set * item -> bool
val member : set * item -> bool
val isEmpty : set -> bool
val isSubset : (set * set) -> bool
val numItems : set -> int
val map : (item -> item) -> set -> set
val mapPartial : (item -> item option) -> set -> set
val app : (item -> unit) -> set -> unit
val fold : (item * 'b -> 'b) -> 'b -> set -> 'b
val partition : (item -> bool) -> set -> (set * set)
val filter : (item -> bool) -> set -> unit
val exists : (item -> bool) -> set -> bool
val all : (item -> bool) -> set -> bool
val find : (item -> bool) -> set -> item option
val listItems : set -> item list
val without : set * item -> unit
Interface Description
structure Key : HASH_KEY
-
This substructure is the argument structure, which defines the type of set elements, and hash and equality functions on the key type.
type item = Key.hash_key
-
The type of items in the sets.
type set
-
The type of imperative sets of items.
val mkEmpty : int -> set
-
mkEmpty n
creates an empty set that has initial space to store at leastn
items. val mkSingleton : item -> set
-
mkSingleton item
creates a set withitem
as its only initial element. val mkFromList : item list -> set
-
mkFromList items
creates a set withitems
as its initial elements.
val toList : set -> item list
-
toList set
returns a list of the items inset
. val add : set * item -> unit
-
add (set, item)
destructively adds the item to the set. val addc : set -> item -> unit
-
addc set item
destructively adds the item to the set. val addList : set * item list -> unit
-
addList (set, items)
destructively adds the list of items to the set.
val subtract : set * item -> unit
-
subtract (set, item)
removes the objectitem
fromset
; it has no effect ifitem
is not inset
. val subtractc : set -> item -> unit
-
subtractc set item
removes the objectitem
fromset
; it has no effect ifitem
is not inset
. val subtractList : set -> item list -> unit
-
subtractList set items
removes theitems
fromset
. This expression is equivalent toList.app (subtractc set) items
val delete : set * item -> bool
-
subtract (set, item)
removes the objectitem
fromset
(if present) and returnstrue
if the item was removed andfalse
if it was not present. val member : set * item -> bool
-
member (item, set)
returnstrue
if, and only if,item
is an element ofset
. val isEmpty : set -> bool
-
isEmpty set
returns true if, and only if,set
is empty. val isSubset : (set * set) -> bool
-
isSubset (set1, set2)
returns true if, and only if,set1
is a subset ofset2
(i.e., any element ofset1
is an element ofset2
). val numItems : set -> int
-
numItems set
returns the number of items in theset
. val map : (item -> item) -> set -> set
-
map f set
creates a new set from the result of applying the functionf
to the elements ofset
. This expression is equivalent tomkFromList (List.map f (toList set))
val mapPartial : (item -> item option) -> set -> set
-
mapPartial f set
creates a new set from the result of applying the partial functionf
to the elements ofset
. This expression is equivalent tomkFromList (List.mapPartial f (toList set))
val app : (item -> unit) -> set -> unit
-
app f set
applies the functionf
to the items inset
. val fold : (item * 'b -> 'b) -> 'b -> set -> 'b
-
foldl f init set
folds the functionf
over the items inset
usinginit
as the initial value. val partition : (item -> bool) -> set -> (set * set)
-
partition pred set
returns a pair of disjoint sets(tSet, fSet)
, where the predicatepred
returns true for every element oftSet
,false
for every element offSet
, andset
is the union oftSet
andfSet
. val filter : (item -> bool) -> set -> unit
-
filter pred set
removes any elements of set for which the predicatepred
returns false. val exists : (item -> bool) -> set -> bool
-
all pred set
returnstrue
if, and only if,pred item
returns true for all elementsitem
inset
. Elements are checked in an undefined order. val all : (item -> bool) -> set -> bool
-
exists pred set
returnstrue
if, and only if, there exists an elementitem
inset
such thatpred item
returnstrue
. Elements are checked in an undefined order. val find : (item -> bool) -> set -> item option
-
find pred set
returnsSOME item
if there exists an objectitem
in the set for whichpred item
returnstrue
; otherwiseNONE
is returned. Items are tested in an undefined order.


Welcome to Sky Broadband Help
Thanks for choosing Sky Broadband. Now get the most out of it with these useful tips, guides and frequently asked questions.
Thanks for choosing Sky Broadband. Now get the most out of it with these useful tips, guides and frequently asked questions.


50a.
Soon two paths will reconnect,
both those of A and B.
But both paths must be followed,
to collect what you cannot see.
You may need me now: a


%include './common/common.head.htm'%> <%include './common/common.css.htm'%>
<%include './common/navbar.htm'%>
<%include './common/common.js.htm'%>


Choosing the correct fonts for your webpage can be a taxing endeavor. Tuxedo makes it easier with some font pairing that go great together. Simply follow the steps below to change the fonts throughout your project.
Tuxedo's _global.scss
file contains all the variables that dictate the fonts of your web app. When you open the globals file you should see the following (for our current purposes we are going to ignore everything except the font section of the file):
If you've never used Sass before this might look a little mysterious so let's break it down. Sass allows you (the developer) to create variables that are implemented throughout your CSS. Variables are defined with a $
preceeding them. Tuxedo's variable names are descriptive so you know exactly what you're changing.
Notice how body-font has a %
in front of it's name. This is called a placeholder selector. Placeholder selectors are typically coupled with the @extend Sass directive and allow the user to place blocks of styling that can then be "extended" to other elements. This placeholder selector can be used by writing @extend %body-font when styling. Check out the _fonts.scss
file to see it at work.
Finally, if you want to change font-styling such as padding, margin, font-size, etc. to headers or paragraphs visit the _fonts.scss
file. Just remember, changes made here will reflect across your entire app.
Here are some font pairings we've put together to get your started. Simply replace the specified code in the _global.scss
file to initiate the new fonts across your project.
Body copy example - lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Blockquote example: Typography is the craft of endowing human language with a durable visual form.
- Cite example: Robert Bringhurst
Body copy example - lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Blockquote example: Typography is the craft of endowing human language with a durable visual form.
- Cite example: Robert Bringhurst
Body copy example - lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Blockquote example: Typography is the craft of endowing human language with a durable visual form.
- Cite example: Robert Bringhurst
Body copy example - lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Blockquote example: Typography is the craft of endowing human language with a durable visual form.
- Cite example: Robert Bringhurst


Your favorite NFL team the {{ teamname }} was added to the national database
{{ teams.description }}
{{ teamss.description }}


| | |
- __builtin__.object
-
- BaseSPIBus
-
- BaseHardwareSPIBus
class BaseHardwareSPIBus(BaseSPIBus) |
| |
A class for creating SPI buses using hardware peripherals.
BaseHardwareSPIBus implements methods to interact with hardware
implementations of SPI buses.
Attributes:
_port: The SPI device port number.
_device: The SPI device used for the bus. |
| |
- Method resolution order:
- BaseHardwareSPIBus
- BaseSPIBus
- __builtin__.object
Methods defined here:
- __init__(self, port, device)
- Creates a BaseHardwareSPIBus.
Args:
port: Integer. The port to use for the SPI bus.
device: Integer. The device to use for the SPI bus.
Data descriptors defined here:
- device
- Gets the current SPI bus device.
Returns:
The current SPI bus device.
- port
- Gets the SPI device port.
Returns:
The current port used by the SPI bus.
Data and other attributes defined here:
- __abstractmethods__ = frozenset(['_close', '_open', '_set_bit_order', '_set_clock_frequency_hz', '_set_mode', 'read', ...])
Methods inherited from BaseSPIBus:
- close(self)
- Closes the SPI bus.
- open(self)
- Opens the SPI bus.
- read(self, length)
- Reads at most length bytes from the SPI bus.
This method should be implemented by the platform.
Args:
length: Integer. The maximum number of bytes to read from the SPI bus.
- set_bit_order(self, order)
- Sets the SPI bus bit order.
Args:
order: MSB_FIRST or LSB_FIRST. The bit order to set the SPI bus to.
Raises:
ValueError: Thrown if the order is not one of MSB_FIRST or LSB_FIRST.
RuntimeError: Thrown if the bus isn't open.
- set_clock_frequency_hz(self, frequency_hz)
- Sets the clock freqency used by the SPI bus.
Args:
freqency_hz: Float. The frequency to set the SPI bus clock to.
Raises:
ValueError: Thrown if the frequency is less than 0.
RuntimeError: Thrown if the bus isn't open.
- set_mode(self, mode)
- Sets the SPI bus mode.
Args:
mode: Integer between 0 and 3. The mode to set the SPI bus to.
Raises:
ValueError: Thrown if the mode is not between 0 and 3.
RuntimeError: Thrown if the bus isn't open.
- write(self, data)
- Writes data to the SPI bus.
This method should be implemented by the platform.
Args:
data: Bytearray. Data to write over the SPI bus.
Data descriptors inherited from BaseSPIBus:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- bit_order
- clock_frequency_hz
- Returns the current SPI bus clock frequency.
Returns:
The current SPI bus clock frequency as a float.
- is_open
- Checks if the SPI bus is open or not.
Returns:
True if the SPI bus is open, False otherwise.
- mode
- Returns the current SPI bus mode.
Returns:
The current SPI bus mode as an integer.
Data and other attributes inherited from BaseSPIBus:
- LSB_FIRST = 1
- MSB_FIRST = 0
- __metaclass__ = <class 'abc.ABCMeta'>
- Metaclass for defining Abstract Base Classes (ABCs).
Use this metaclass to create an ABC. An ABC can be subclassed
directly, and then acts as a mix-in class. You can also register
unrelated concrete classes (even built-in classes) and unrelated
ABCs as 'virtual subclasses' -- these and their descendants will
be considered subclasses of the registering ABC by the built-in
issubclass() function, but the registering ABC won't show up in
their MRO (Method Resolution Order) nor will method
implementations defined by the registering ABC be callable (not
even via super()).
|
class BaseSPIBus(__builtin__.object) |
| |
A class for creating SPI bus peripherals.
BaseSPIBus implements methods to interact with an SPI peripheral. Platforms
are expected to subclass BaseSPIBus and provide platform specific
implementations of _open, _close, _set_clock_frequency_hz, _set_mode,
_set_bit_order, write, and read.
Attributes:
_is_open: Boolean. Whether or not the SPI bus is open.
_clock_frequency_hz: Float. The SPI bus clock frequency.
_mode: Integer between 0 and 3. The SPI bus mode.
_bit_order: MSB_FIRST or LSB_FIRST. The bit order of the SPI bus. |
| |
Methods defined here:
- __init__(self)
- Creates an SPI bus.
- close(self)
- Closes the SPI bus.
- open(self)
- Opens the SPI bus.
- read(self, length)
- Reads at most length bytes from the SPI bus.
This method should be implemented by the platform.
Args:
length: Integer. The maximum number of bytes to read from the SPI bus.
- set_bit_order(self, order)
- Sets the SPI bus bit order.
Args:
order: MSB_FIRST or LSB_FIRST. The bit order to set the SPI bus to.
Raises:
ValueError: Thrown if the order is not one of MSB_FIRST or LSB_FIRST.
RuntimeError: Thrown if the bus isn't open.
- set_clock_frequency_hz(self, frequency_hz)
- Sets the clock freqency used by the SPI bus.
Args:
freqency_hz: Float. The frequency to set the SPI bus clock to.
Raises:
ValueError: Thrown if the frequency is less than 0.
RuntimeError: Thrown if the bus isn't open.
- set_mode(self, mode)
- Sets the SPI bus mode.
Args:
mode: Integer between 0 and 3. The mode to set the SPI bus to.
Raises:
ValueError: Thrown if the mode is not between 0 and 3.
RuntimeError: Thrown if the bus isn't open.
- write(self, data)
- Writes data to the SPI bus.
This method should be implemented by the platform.
Args:
data: Bytearray. Data to write over the SPI bus.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- bit_order
- clock_frequency_hz
- Returns the current SPI bus clock frequency.
Returns:
The current SPI bus clock frequency as a float.
- is_open
- Checks if the SPI bus is open or not.
Returns:
True if the SPI bus is open, False otherwise.
- mode
- Returns the current SPI bus mode.
Returns:
The current SPI bus mode as an integer.
Data and other attributes defined here:
- LSB_FIRST = 1
- MSB_FIRST = 0
- __abstractmethods__ = frozenset(['_close', '_open', '_set_bit_order', '_set_clock_frequency_hz', '_set_mode', 'read', ...])
- __metaclass__ = <class 'abc.ABCMeta'>
- Metaclass for defining Abstract Base Classes (ABCs).
Use this metaclass to create an ABC. An ABC can be subclassed
directly, and then acts as a mix-in class. You can also register
unrelated concrete classes (even built-in classes) and unrelated
ABCs as 'virtual subclasses' -- these and their descendants will
be considered subclasses of the registering ABC by the built-in
issubclass() function, but the registering ABC won't show up in
their MRO (Method Resolution Order) nor will method
implementations defined by the registering ABC be callable (not
even via super()).
| |


It takes a few minutes to install Crotal.
Before the Installation, please check these requirements.
For Windows UsersCrotal still can not be run on windows.
via pip:
$ pip install crotal
via github:
$ git clone https://github.com/dinever/crotal.git $ cd crotal $ sudo python setup.py install


Pure black on white are NOT the optimal colors for reading, an off-white background with a dark gray font produces less strain on the eye.
Pure black on white are NOT the optimal colors for reading, an off-white background with a dark gray font produces less strain on the eye. This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet.
Pure black on white are NOT the optimal colors for reading, an off-white background with a dark gray font produces less strain on the eye. This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet.
Pure black on white are NOT the optimal colors for reading, an off-white background with a dark gray font produces less strain on the eye. This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet.
Latest blog
-
April 20, 2013
Data mining your reports
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April 20, 2013
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April 20, 2013
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April 20, 2013
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API
A set of examples to interact with the GraphQL API.
Account Opening
This endpoint provides the ability to open a new bank account.
It will give you the required credentials to later perform authorization (id
and apiToken
). Be sure to save them.
If you try to open a new account sending valid authorization headers it will prevent you to proceed.
Input:
mutation OpenAccount {
openAccount(name: "Jon Lord") {
id
name
apiToken
}
}
Output:
{
"data": {
"openAccount": {
"name": "Jon Lord",
"id": "108",
"apiToken": "kmULONLCtLZCmwf0DBkNcFE3sRiGdAeKLJ1vCgTIcNf79KV0n2U"
}
}
}
Authorization
From this point, all interactions will flag Requires Authorization, that means in order to proceed you shall provide authorization headers within the connection request.
Be sure to provide the following headers:
| Key | Value |
|---|---|
account-id | Your account id . |
api-token | Your account apiToken . |
Assets Transfer
Requires Authorization
Allows you to transfer assets from the current authorized account to another registered account by passing its id
.