HEAD
FIRST CALL FOR PAPERS
Special Track/Sessions on
Artificial Immune
Systems and Their Applications
at
IEEE International Conference on Systems, Man, and
Cybernetics(SMC'2000)
Nashville, Tennessee, October 8-11, 2000.
A special track on Artificial Immune Systems and Their Applications will be organized (third time) at the IEEE International Conference on Systems, Man, and Cybernetics. This interdisciplinary track will serve as a forum for presenting and disseminating current research in the field of Artificial Immune Systems. The aims are to strengthen this emerging research area by exploring different immunological mechanisms and their relation to information processing and problem solving.
The scope of this special track/sessions include the following topics(but are not limited to):
-
Computational methods based on Immunological principles
- Artificial Immune systems for Pattern Recognition
- Immunity-based system for Anomaly or fault detection
- Immune Network Models and their applications
- Immunity-based system as a multi-agent system
- Immunogenetic approaches
- Immunity-based systems for self-organization
- Immunity-based approach for collective intelligence
- Immunity-based systems for optimization and search
- The immune system as Autonomous Decentralized Systems
- Immunity-based approach for Artificial Life
- Immunological approach for computer security
- Immunity-based systems as a distributed learning system
- Immunological Computation for data mining
- Immunity-based Cognitive Models
Prospective authors are invited
to submit papers related to the listed topics. Those who are
interested should send a title and an extended abstract (or full paper
upto 8 pages) on or before February 1, 2000 via email or air mail to the
address below:
Track Chair:
Dipankar Dasgupta, Ph.DDivision of Computer Science Mathematical Sciences Dept. The University of Memphis Memphis, TN 38152-6429 U.S.A Tel:<PHONE_NUMBER> Fax:<PHONE_NUMBER><EMAIL_ADDRESS>Important Dates:
February 1, 2000 ::Extended Abstract
April 20, 2000 :: Notification of Acceptance
June 16, 2000 :: Final Submission
For general information of SMC'2000, please visit the web page of the conference at http://mot.vuse.vanderbilt.edu/smc2000/.
=======
FIRST CALL FOR PAPERS
Special Track/Sessions on
Artificial Immune
Systems and Their Applications
at
IEEE International Conference on Systems, Man, and
Cybernetics(SMC'2000)
Nashville, Tennessee, October 8-11, 2000.
A special track on Artificial Immune Systems and Their Applications will be organized (third time) at the IEEE International Conference on Systems, Man, and Cybernetics. This interdisciplinary track will serve as a forum for presenting and disseminating current research in the field of Artificial Immune Systems. The aims are to strengthen this emerging research area by exploring different immunological mechanisms and their relation to information processing and problem solving.
The scope of this special track/sessions include the following topics(but are not limited to):
-
Computational methods based on Immunological principles
- Artificial Immune systems for Pattern Recognition
- Immunity-based system for Anomaly or fault detection
- Immune Network Models and their applications
- Immunity-based system as a multi-agent system
- Immunogenetic approaches
- Immunity-based systems for self-organization
- Immunity-based approach for collective intelligence
- Immunity-based systems for optimization and search
- The immune system as Autonomous Decentralized Systems
- Immunity-based approach for Artificial Life
- Immunological approach for computer security
- Immunity-based systems as a distributed learning system
- Immunological Computation for data mining
- Immunity-based Cognitive Models
Prospective authors are invited
to submit papers related to the listed topics. Those who are
interested should send a title and an extended abstract (or full paper
upto 8 pages) on or before February 1, 2000 via email or air mail to the
address below:
Track Chair:
Dipankar Dasgupta, Ph.DDivision of Computer Science Mathematical Sciences Dept. The University of Memphis Memphis, TN 38152-6429 U.S.A Tel:<PHONE_NUMBER> Fax:<PHONE_NUMBER><EMAIL_ADDRESS>Important Dates:
February 1, 2000 ::Extended Abstract
April 20, 2000 :: Notification of Acceptance
June 16, 2000 :: Final Submission
For general information of SMC'2000, please visit the web page of the conference at http://mot.vuse.vanderbilt.edu/smc2000/.
>>>>>>> some init msg


Chocolate is a tasty brown treat which comes in the form of a block, but can be melted into a thick liquid. Chocolate can be consumed by itself or added to any food/reciepe as a delicous flavouring ingredient, such as Cake and Ice Cream.
Chocolate is made with these ingredients:
Have you ever wondered why the texture and flavour of chocolate varies when made by different brands? Me too! Well, is turns out that the process in which all the ingredients are added and combined can change the whole outcome!
I realised it would probably a bit challanging to make delicious chocolate from scratch at home, not everyone lives in the perfect climate to house and nurture a cocoa tree. Therefore I have aquired a more accessable, and just as lovable receipe for you to try at home! I personally love The Simpsons, and remember excessive drooling when watching the scene in The Simpsons Movie when Ned Flanders creates the ultimate Hot Chocolate for Bart. I have linked the You Tube video below, created by the exceptional Binging with Babish.
How did you go? What are your thoughts? Fill in the form below to let us know what you think about Chocolate and Binging with Babish's Flanders Hot Cocoa!


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Toggle navigation
BestBnB
Home
About Me
More Info + Code
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Below you will find the top listings in the neighborhood. These are the listings that our price model thinks are good deals. Click on them for more info!
Top listings in {{nbd}}:
Price
Listing Title
Value
{% for birth in births %}
${{ birth['price'] }}
{{ birth['city']}}
${{ birth['room_type'] }}
{% endfor %}


Plain-JS implementation of HPACK.
```javascript var hpack = require(‘hpack.js’);
var comp = hpack.compressor.create({ table: { size: 256 } }); var decomp = hpack.decompressor.create({ table: { size: 256 } });
comp.write([ { name: ‘host’, value: ‘localhost’ } ]);
var raw = comp.read();
console.log(raw);
//
decomp.write(raw); decomp.execute(); console.log(decomp.read()); // { name: ‘host’, value: ‘localhost’, neverIndex: false } ```
This software is licensed under the MIT License.
Copyright Fedor Indutny, 2015.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Https Www Nvidia Com Content Dam En Zz Solutions Design Visualization Quadro Product Literature Nview Display Tech Pdf
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With jquery-keyframeAnimation, you can write CSS3 keyframes animation easily. And to replace FLASH, those animation designation use millisecond.
jquery-keyframeAnimation is easy to designation, usefull for desingners. DOM-object is set to last keyframe animation position, not first position. (normally CSS3-keyframes-animation is set to first position! And sometimes it is confused desingners. ).
jquery-keyframeAnimation is Copyright hako584. dual licensed under the MIT or BSD licenses.
jQuery.kfAnimation v0.0.1


CCTV footage released after catalytic converter theft at park and ride
Anyone with information is asked to contact Nottinghamshire Police
by Jamie BarlowDetectives have released CCTV footage of two men they'd like to speak to in connection with an incident at Clifton Park and Ride.
Police were called to a report of a stolen catalytic converter.
The incident happened at the park and ride, Clifton Lane, at around 2.30pm on August 6.
No arrests have been made.
Police would like to speak to two men, visible in the footage, in connection with the investgation.
Anyone with information is asked to contact Nottinghamshire Police on 101, quoting incident 470 of August 6.
Advice on how to protect your vehicle can be found on the force website.
Get the most important news straight in your inbox before 9am every day - sign up to Nottinghamshire Live's newsletter. No complicated forms to fill out, just enter your email address in the black box at the top of this page.


IBM Cloud App ID JavaScript SDK
Client-side javascript SDK for the IBM Cloud App ID service to use with single-page applications created in Angular, React, or other frontend frameworks.
Read the documentation for information on getting started with IBM Cloud App ID and single-page applications.
Apps using Node.js should use our server-side SDK.
Table of Contents
Installation
Using npm:
npm install ibmcloud-appid-js
import AppID from 'ibmcloud-appid-js';
From the CDN:
<script src="https://cdn.appid.cloud.ibm.com/appid-1.0.1.min.js"></script>
Or for development purposes use the minified file in this repo:
<script type='text/javascript' src="dist/appid.min.js"></script>
Getting Started
A sample application can be found in the sample
folder in this repo.
You will need an IBM Cloud App ID instance with a singlepageapp
application created.
Apps using Angular, React, or other frontend frameworks will require a specific type of credentials to use with IBM Cloud App ID.
Visit the docs to learn more about creating application credentials.
Use the clientId
and discoveryEndpoint
from the application credentials to initialize the AppID
instance.
const appID = new AppID();
await appID.init({
clientId: '<SPA_CLIENT_ID>',
discoveryEndpoint: '<WELL_KNOWN_ENDPOINT>'
});
Using the signin() in your app to start authentication:
document.getElementById('login').addEventListener('click', async () => {
try {
const tokens = await appID.signin();
} catch (e) {
...
}
});
Read the documentation for information about getting started with IBM Cloud App ID Service.
API Reference
Checkout our API reference here.


What's your take on the DBC/EDA experience? I personally take it as the chance to be put in an environment giving me the highest chance of actually learning how to build web projects. The "guinea pig" image really resonated with me : I absolutely view this experience as putting myself in this very peculiar environment, and see how I react. Hopefully, I will react as I predicted, and learn a lot!
What are your impressions?  So, for the moment, I haven't been able to experience much of the "group" feeling. I am however very pleased by the global worflow I've experienced, self starting and working with waffle and git.
How do you see yourself engaging with this type of culture? I mostly see myelf as participating to discussions and projects, sharing and learning new stuff all the time, even and mostly after I graduate. I'm looking forward to helping people on Stackoverflow, for example :p
Have your expectations of EDA changed? If so, how? It hasnt changed at all. I had researched it quite extensively beforehand, and everything is pretty much as I expected it to be. Even better, as I was given an individual option to start early when some conflicts appeared after the delaying of my original cohort.
Are you excited to participate in this kind of learning environment? Does it make you nervous? I am absolutely excited. I'm looking forward to spending time on my computer, making things happen, being a "creator"! But it does make me nervous : I hope I'll have the energy necessary for it!


Here you can find a simple blog about topics we researched during the first nine weeks of DBC.
Git
Ruby
Enumerables
Classes
Javascript
Basic Computers!


That amazing new commercial starring E.T. was filmed in Metro Vancouver
North Shore News
by Andy PrestEveryone’s favourite 1980s extra-terrestrial has returned to Earth, making a stop in North Vancouver.
E.T. was brought back to life for an Xfinity commercial for Comcast that was shot on Patterdale Drive in the District of North Vancouver earlier this fall.
The commercial, which is more than four minutes long, features the original E.T., who was brought here from the Smithsonian where he had been on display for years. The video also features a grown-up Elliot played by Henry Thomas, the same actor who portrayed E.T.’s young friend in the 1982 Steven Spielberg film.
The production featured two homes and a cul-de-sac in North Vancouver’s Capilano neighbourhood, along with scenes shot on Burnaby Mountain.
The commercial premiered Thursday, November 28 during the telecast of the Macy’s Thanksgiving Day Parade, and is currently listed as the No. 1 trending video on YouTube, racking up more than four million views since being posted.


|
<colorSensor>
This library support the TCS3200 colorSensor using the included freqMeasuringtool.
|
#include <freqMeasuringtool.hpp>
Public Member Functions | |
| freqMeasuringtool (hwlib::target::pin_in &pin) | |
| freqMeasuringtool constructor with pin. More... | |
| void | sample () |
| sample() function. More... | |
| void | calculate () |
| calculate() function. More... | |
| int | read () |
| read() function. More... | |
Protected Attributes | |
| int | frequenty |
| uint_fast64_t | t1 |
| uint_fast64_t | t2 |
| hwlib::target::pin_in & | pin |
This is an ADT that gives the user a frequenty from an analog to digital converter pin. The frequenty in microseconds is stored as an integer inside the function the ADT is dependant on the hwlib library for an input pin_in and its now_us() function. https://github.com/wovo/hwlib
|
inline |
freqMeasuringtool constructor with pin.
This is a constructor that constructs an ADT with the input of an hwlib::target::pin_in.
| void freqMeasuringtool::calculate | ( | ) |
calculate() function.
The sample function has te be run once in order to use this function. The previously filled int frequenty is in microseconds. In this function the frequency is transferred into hertz.
| int freqMeasuringtool::read | ( | ) |
read() function.
The read function gives you the frequenty in Hertz of the pin back as an int.
| void freqMeasuringtool::sample | ( | ) |
sample() function.
Sample function that takes 30 samples of frequenty and puts the average in the int frequenty.


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Hi my twitter account is @SodhanaLibrary I wrote #jQuery articles on http://blog.sodhanalibrary.com Contact me at<EMAIL_ADDRESS>This below script is not going to execute because of encoding
Apply Feedify
Output :


--- title: "Software" author: "Frederick Boehm" date: "2019-08-29 10:56:56" disable_comments: true ---
qtl2pleio: Testing pleiotropy vs. separate QTL in multiparental populations
qtl2pleio
gemma2: Multivariate random effects for genetics studies
gemma2


Stacey Sellers
- Age: 32
- Gender: Female
- Profession: Frozen Custard truck owner
- Technology: Galaxy s7 with Android 8.0, and a Windows 8.1 Dell Inspiron 3000 laptop
- Attitude: Stacey loves her business, though it's hard work. She loves repeat customers,
and she wants more exposure.
- Goals: Stacey needs an easier way of getting repeat customers and new customers. Many of her customers have expressed frustration that they have not been able to track her when they were
craving some of her custard. She uses Facebook to update her hours and location, but sometimes she forgets to do this, and not everyone uses Facebook.
- Frustrations: Stacey has considered using other sites like roaminghunger.com, but many people in Albuquerque are not aware of this site. It requires several steps to find her food truck, and she would rather have something local.
User Story
As a food truck owner, I want to post my location, menu, and hours of operation in a place that’s visible to my would-be customers.
As a food truck owner, I want to update my location and hours of operation when I change locations so that customers can find me.
Use Cases
- Description: Register new food truck
- Persona: Stacy Sellers
- Preconditions: Stacy has registered her account and wants to share her food truck’s location, hours, and menu.
- Postconditions: Stacy’s food truck information is stored in the DB pending approval by app owners.
- Stacy signs into "Food Truck Finder"
- The server sends the food truck finder page to Stacy
- Stacy clicks register link
- Server sends registration form
- Stacy fills out and submits
- Server stores submitted information in temporary location (pending approval by app owners (yours truly))
- Description: Update food truck location
- Persona: Stacy Sellers
- Preconditions: Stacy is a vetted registered food truck owner on the app. She needs to update her location data so that customers can find her.
- Postconditions: Stacy has updated her location in the app. The location is now visible on the map element on the landing page of the app.
- Stacy signs in
- Server sends landing page.
- Stacy clicks “update location” button in vendor tools.
- Server sends update location form.
- Stacy updates her location/hours and clicks “submit”.
- Server updates Stacy’s new location and hours.


There are five possible line styles: drawSolid Draws a solid line (same as Draw.Line) drawDash Draws a dashed line drawDot Draws a dotted line drawDashDot Draws a line that alternates dashes and dots drawDashDotDot Draws a line that alternates dash and dot-dot
View.Set ("graphics")
% Draw a line in each of the styles.
Draw.DashedLine (0, 50, maxx, 50, drawSolid, brightred)
Draw.DashedLine (0, 100, maxx, 100, drawDash, brightred)
Draw.DashedLine (0, 150, maxx, 150, drawDot, brightred)
Draw.DashedLine (0, 200, maxx, 200, drawDashDot, brightred)
Draw.DashedLine (0, 250, maxx, 250, drawDashDotDot, brightred)
This means that you can only call the function by calling Draw.DashedLine, not by calling DashedLine.


The Legend of Zelda is a well known series within the gaming community. The rights to the property belong to the Nintendo Company. The franchise has multiple installments on all of Nintendo's major game consoles, which originated three decades ago.  The property is one of Nintendo's most prosperous franchises for being one of the first of its kind to implement an open world for the player to explore freely. The success of the series has helped it achieve over 80 million copies sold as of 2017.


Hello My Dear Beloved Friend, My name is Mrs. Martha Pujeh; I am a dying woman who had decided to Donate what I have to you. You may be wondering why I choose you. But Someone has to be chosen. I am 59 years old and was diagnosed for cancer About 2 years ago, immediately after the death of my husband, who had Left me everything he worked for. I have been touched by God to donate from what I have inherited from my late husband to you for the good work of God, rather than allow my relatives to use my husband's hard earned funds ungodly. I have asked God to forgive me all my sins and I believe he has, because He is a merciful God. I will be going in for an Operation and I pray that I survive the operation. I have decided to WILL/Donate the sum of (US$12,000,000.00 (Twelve Million United State Dollars) to you for the good work of the lord, and to help the motherless, less privileged and also for the assistance of the Widows. At the moment I cannot take any telephone calls, due to the fact That my relatives are around me and I have been restricted by my doctor from taking telephone calls because I deserve all the rest I can get.Presently, I have informed my lawyer about my decision in WILLING this Fund to you. I wish you all the best and may the good Lord bless you abundantly, and please use the funds well and always extend the good work to others.Kindly Contact my lawyer through this email address<EMAIL_ADDRESS>if you are interested in carrying Out this task, so that he can arrange the release of the funds to you. My lawyer's name is Barrister William Legro Richard Junior. I know I have never met you but my mind tells me to do this, and I hope You act sincerely. I will pay you %10 of this money if you will assist me because I am now too weak and fragile to do things myself because of my cancer. NB: I will appreciate your utmost confidentiality in this matter until The task is accomplished, as I don't want anything that will jeopardize My last wish, due to the fact that I do not want relatives or family Members standing in the way of my last wish. Please I need your immediately response, Love, Mrs. Martha Pujeh.


This implements the basic Lotka-Volterra equations:
with being the reproduction rate and being the interspecies interaction. This is implemented as a single line:
density += repro_rate * density + (interaction * density) * density;
This command also increments the timestep counter tstep.
An optional argument specifies a number of timesteps to run the generate step. This improves the speed by amortising the real to integer conversion operation over a number of timesteps. The downside is that computation may fail if the problem is ill-conditioned (offdiagonal elements of too large with respect to the diagonal elements).


This demo has mousewheel support as you can see from the source code below.
This goes in the documents header: Put this where you want the chart to show up:

This is the code that generates the chart - it should be placed AFTER the

tag:


IoT Precision: Known Measures (light)
As part of Things Leeds & Bradford, we have an IoT sensor in our space at ODI Leeds. This is a visualisation of the light readings. Updates daily.
As part of Things Leeds & Bradford, we have an IoT sensor in our space at ODI Leeds. This is a visualisation of the light readings. Updates daily.


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""" Dataset loading utilities.
.. MIT License
..
.. Copyright (c) 2018 Diviyan Kalainathan
..
.. Permission is hereby granted, free of charge, to any person obtaining a copy
.. of this software and associated documentation files (the "Software"), to deal
.. in the Software without restriction, including without limitation the rights
.. to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
.. copies of the Software, and to permit persons to whom the Software is
.. furnished to do so, subject to the following conditions:
..
.. The above copyright notice and this permission notice shall be included in all
.. copies or substantial portions of the Software.
..
.. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
.. IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
.. FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
.. AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
.. LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
.. OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
.. SOFTWARE.
"""
import pandas as pd
import os
import requests
import zipfile
import io
from numpy import random
from ..utils.io import read_causal_pairs, read_list_edges
[docs]def load_dataset(name, **kwargs):
"""Main function of this module, allows to easily import well-known causal
datasets into python.
Details on the supported datasets:
+ **tuebingen**, dataset of 100 real cause-effect pairs
J. M. Mooij,
J. Peters, D. Janzing, J. Zscheischler, B. Schoelkopf: "Distinguishing
cause from effect using observational data: methods and benchmarks",
Journal of Machine Learning Research 17(32):1-102, 2016.
+ **sachs**, Dataset of flow cytometry, real data,
11 variables x 7466
samples; Sachs, K., Perez, O., Pe'er, D., Lauffenburger, D. A., & Nolan,
G. P. (2005). Causal protein-signaling networks derived from
multiparameter single-cell data. Science, 308(5721), 523-529.
+ **dream4**, multifactorial artificial data of the challenge.
Data generated with GeneNetWeaver 2.0, 5 graphs of 100 variables x 100
samples. Marbach D, Prill RJ, Schaffter T, Mattiussi C, Floreano D,
and Stolovitzky G. Revealing strengths and weaknesses of methods for
gene network inference. PNAS, 107(14):6286-6291, 2010.
Args:
name (str): Name of the dataset. currenly supported datasets:
[`tuebingen`, `sachs`, `dream4-1`, `dream4-2`, `dream4-3`,
`dream4-4`, `dream4-5`]
\**kwargs: Optional additional arguments for dataset loaders.
``tuebingen`` dataset accepts the ``shuffle (bool)`` option to
shuffle the causal pairs and their according labels.
Returns:
tuple: (pandas.DataFrame, pandas.DataFrame or networkx.DiGraph) Standard
dataframe containing the data, and the target.
Examples:
>>> from cdt.data import load_dataset
>>> s_data, s_graph = load_dataset('sachs')
>>> t_data, t_labels = load_dataset('tuebingen')
.. warning::
The 'Tuebingen' dataset is loaded with the same label for all samples (1: A causes B)
"""
dream = [i for i in ['dream4-{}'.format(v) for v in range(1, 6)]]
loaders = {'tuebingen': load_tuebingen, 'sachs': load_sachs}
loaders.update({i: load_dream_multifactorial(i[-1]) for i in dream})
try:
return loaders[name]()
except KeyError:
raise ValueError("Unknown dataset name.")
def load_sachs(**kwargs):
dirname = os.path.dirname(os.path.realpath(__file__))
return (pd.read_csv('{}/resources/cyto_full_data.csv'.format(dirname)),
read_list_edges('{}/resources/cyto_full_target.csv'.format(dirname)))
def load_tuebingen(shuffle=False):
dirname = os.path.dirname(os.path.realpath(__file__))
data = read_causal_pairs('{}/resources/Tuebingen_pairs.csv'.format(dirname), scale=False)
labels = pd.read_csv('{}/resources/Tuebingen_targets.csv'.format(dirname)).set_index('SampleID')
if shuffle:
for i in range(len(data)):
if random.choice([True, False]):
labels.iloc[i, 0] = -1
buffer = data.iloc[i, 0]
data.iloc[i, 0] = data.iloc[i, 1]
data.iloc[i, 1] = buffer
return data, labels
def load_dream_multifactorial(num, **kwargs):
idx = num
def load_d():
dirname = os.path.dirname(os.path.realpath(__file__))
target = read_list_edges('{}/resources/goldstandard_insilico100_multifactorial_{}.csv'.format(dirname, idx))
data = requests.get('https://www.synapse.org/Portal/filehandle?ownerId=syn3049712&ownerType=ENTITY&fileName=DREAM4_InSilico_Size100_Multifactorial.zip&preview=false&wikiId=74630')
with zipfile.ZipFile(io.BytesIO(data.content)) as f:
for name in f.namelist():
if name == 'insilico_size100_{}_multifactorial.tsv'.format(idx):
return pd.read_csv(f.open(name), sep='\t'), target
return load_d


There are 2 servos used to move the head and 10 more to display facial expressions. The mini maestro 18-channel usb servo controller is used to control them.
A python interface is build on top of the C++ code controlling the robots hardware. Which may be used like this:
>>> import face
>>> f = face.Face()
>>> f.happy() # look happy (possibly moves the head)
>>> f.angry(moveHead=False) # look angry but don't move the head
>>> f.moveHead(x, y) # move the head and possibly the eyes to the position (x, y),
# where (x, y) are coordinates within the current webcam frame
Further facial expressions and head movement functions as well as optional configuration parameters
for the constructor are provided. Please call help(Face)
from within your python interpreter for more information.
In case you need a more specific control over each servo you must use the C++ api, which is a superset of the python api. The major addition here, which is visible to the user, is the notion of a "ServoConfig" and the corresponding applyConfig()
function.
For example:
#include
int main()
{
Face f = Face();
ServoConfig<3> config = {{1, 5, 10}, {4500, 8000, 6000}};
// set servo 1, 5, and 10 to the positions 4500, 8000 and 6000
f.applyConfig(config);
}
The code depends on the pololu-usb-sdk and RapaPololuMaestro library. These are available on github:
For using the face attribute detection software, a standard python (2.7 or 3.5) anaconda
installation should additionally include opencv, keras
. Additionally, for text to speech synthesis, you should install gTTS
. You can easily install them using
conda with the following commands:
conda install -c menpo opencv3=3.1.0
conda install keras
pip install gTTS
Then for running the software, execute the python script face_detection/run.py
If you eventually want to retrain the network for further improvement of the results,
then you should take a look in te neural_network_training/train_normalised.py
script.


github
issues
book
dankwiki
doxygen
drone
repology
video
notcurses
man pages (v2.1.4)
notcurses(3)
—a blingful TUI library
Executables (section 1)
ncls
—list files, displaying multimedia along with them
ncneofetch
—generate low-effort posts for r/unixporn
notcurses-demo
—shows off some notcurses features
notcurses-direct-pydemo
—validates the Python direct-mode wrappers
notcurses-input
—reads and decodes input events
notcurses-pydemo
—validates the Python wrappers
notcurses-tester
—unit test driver
notcurses-tetris
—Tetris in a terminal
notcurses-view
—renders images and video to a terminal
C library (section 3)
notcurses_capabilities
—runtime capability detection
notcurses_cell
—operations on
nccell
objects
notcurses_channels
—operations on the
channel
type
notcurses_directmode
—minimal notcurses instances for styling text
notcurses_fade
—fading and pulsing for
ncplane
s
notcurses_fds
—dumping file descriptors/subprocesses to
ncplane
s
notcurses_init
—initialization
notcurses_input
—collecting input
notcurses_lines
—drawing lines and boxes on
ncplane
s
notcurses_menu
—menus on the top or bottom rows
notcurses_metric
—fixed-width formatting with metric suffixes
notcurses_multiselector
—high-level widget for selecting items from a set
notcurses_reel
—high-level widget for hierarchical data
notcurses_output
—drawing text on
ncplane
s
notcurses_palette
—operations on notcurses palettes
notcurses_plane
—operations on
ncplane
objects
notcurses_plot
—drawing histograms and lineplots
notcurses_progbar
—drawing progress bars
notcurses_reader
—high-level widget for collecting input
notcurses_refresh
—refresh an externally-damaged display
notcurses_render
—sync the physical display
notcurses_selector
—high-level widget for selecting one item from a set
notcurses_stats
—notcurses runtime statistics
notcurses_stdplane
—acquire the standard
ncplane
notcurses_stop
—collapse the context
notcurses_visual
—operations on
ncvisual
objects
“Profound changes are imminent in the ancient craft of the Beautiful.” © 2019-2021
nickblack@linux.com


Before understanding Ruby Classes, it is important to understand what it means when you hear that Ruby is an object-oriented language. This means that Ruby manipulates constructs called objects (an object is anything in Ruby that you can perform a method on, like a string, integer or float). Classes, then in the most simple sense, are templates from which object instances (an individual variation of an object) are created. A class is made up of a collection of variables representing internal state and methods providing behaviors that operate on a state. (from wikibooks.org)
The following is a very helpful description of classes from Rubylearning.com: "Classes in Ruby are first-class objects - each is an instance of class Class. When a new class is defined (typically using class Name ... end), an object of type Class is created and assigned to a constant (Name. in this case). When Name.new is called to create a new object, the new class method in Class is run by default, which in turn invokes allocate to allocate memory for the object, before finally calling the new object's initialize method. The constructing and initializing phases of an object are separate and both can be over-ridden. The construction is done via the new class method, the initialization is done via the initialize instance method. initialize is not a constructor!"
The picture below is an example of a class, which I will go through and explain:
Here, the class Damn_Daniel is created beginning with "class #Classname" (class must be lowercase followed by an uppercase name). It is then initialized with the "def initialize" method. This method takes two arguments, name and color, and assigns them to instance variables, @name and @ color. This is to make the @name and @color variables available to later methods within the class. Local variables are only available within a method, and cannot be referenced outside of it. I also created the @sentence variable, which I assigned to a "" as a placeholder, but which I will later reassign in the def make_sentence variable.
The make_sentence method assigns the @sentence instance variable to a string that includes the @name and @color instance variables (these will correspond what arguments were entered into the method). When using instance variables within a string, you must use the #{@instancevarname} syntax.
The third method, display, prints to the screen the @sentence instance variable. The key to having the actual "Damn, @name..." sentence be printed, instead of the placeholder "", is calling the make_sentence method inside of display, as I have done. This brings in the updated @sentence instance variable. If I had used a local variable instead of an instance variable for @sentence, this would not have been possible. I have broken up this class into 3 methods because each one does something different, and that is god practice for making classes easy to read.


Hate Speech Bill: FG opposes Senate
by The Eagle OnlineThe Federal Government has opposed the Senate over the proposed Hate Speech Bill.
The opposition of the Federal Government to the Bill was made known by the Minister of State for Transportation, Gbemisola Saraki, while speaking with newsmen after the Federal Executive Council meeting on Wednesday.
Saraki, who took over response to the question from the Minister of Information and Culture, Alhaji Lai Mohammed, said the existing Cybercrime Act (2015) is enough to handle purveyors of hate speech.
Saraki said Nigerians were jumping the gun by drawing conclusions on a Bill that was yet to become a law.
She said: “It is a bill, it’s not yet a law.
“So the sponsor of the bill might put the death penalty there.
“I think we are jumping the gun a bit.
“He is proposing the bill, it is not yet an Act.
“Be that as it may, I think the Cybercrime Act is a law already in Nigeria.
“The Cybercrime Act has the hate speech aspect in it.
“I am not privileged to know the sponsor of the particular bill, but there is a law.
“I stand to be corrected.
“I think it was passed 2014/2015.
“I am not particularly sure.
“But that law that takes care of (hate speech) because cybercrime is now a major issue.
“Internationally, everybody is concerned about it being the new frontier to fight crime.

Previous Post
Nigeria expecting $400m Abacha loot from US, compensation on Malabu case — ICPC
Next Post
Stakeholders list conditions for Nigeria to harness 4th industrial revolution at WorldStage Summit


Climate Model Diagnostic Analyzer (CMDA) is a repository of web services for multi-aspect physics-based and phenomenon-oriented climate model performance evaluation and diagnosis through the comprehensive and synergistic use of multiple observational data, reanalysis data, and model outputs. This repository is specially customized to support the 2015 JPL Center for Climate Sciences Summer School. The theme of the summer school is Using Satellite Observations to Advance Climate Models. This repository provides datasets and analysis tools for the students to use for their group research projects.
These web services let users display, analyze, and download Earth science data interactively. These tools help scientists quickly examine data to identify specific features, e.g. trends, geographical distributions, etc., and determine whether a further study is needed. All of the tools are designed and implemented to be general so that data from models, observation, and reanalysis are processed and displayed in a unified way to facilitate fair comparisons. The services prepare and display analyzed data, and allow users to download the analyzed output data at the end.


Boat operators besiege Bayelsa INEC office, urge payment for job done
by Chukwudi AkasikeChukwudi Akasike, Yenagoa
On a day many stakeholders gathered at the office of the Independent National Electoral Commission in Yenagoa, a group of boat operators besieged the office demanding payment for a job that had been executed.
The boat operators, who were about six in number, expressed dissatisfaction that none of the INEC administrative officers were attending to their plight.
One of them, who identified himself simply as John, said he had been on the waterways for three days, moving INEC’s men and materials to the riverine areas for the purpose of the governorship election.
He lamented that they had spent the third day on the waterways without being with their families, adding that INEC should not keep them longer than necessary in Yenagoa before they return to their families.
”We have been moving INEC people and voting materials through the waterways for the past three days. Now, election has ended and we expected that we should be paid.
”I tried entering inside there (hall), but one man at the door was pushing me back. Is it fair? That is not fair,” John told our Correspondent.
Another boat driver, who does not want his name mentioned, explained that he was neither a party agent nor a politician, but a boat driver that came to collect his pay after delivering his service for INEC.

“Since Thursday, I have been moving from Yenagoa to riverine areas. Now that I have finished the work, I think it is only necessary that I get paid,” the visibly angry boat driver said.


Things to know about Clint
Facts
He is a reptile
He drinks water through his skin
He goes into hybernation in the winter


'''
Question:
Given a 2D board and a word, find if the word exists in the grid. The word can be constructed from letters of sequentially adjacent cell, where "adjacent" cells are those horizontally or vertically neighboring. The same letter cell may not be used more than once.
Algorithm:
BFS
'''
class Solution:
# @param board, a list of lists of 1 length string
# @param word, a string
# @return a boolean
def exist(self, board, word):
if len(board) == 0:
return len(word) == 0
m, n = len(board), len(board[0])
visited = [[False for itr in xrange(n)] for itr2 in xrange(m)]
for i in xrange(m):
for j in xrange(n):
if self.exist_rec(board, word, 0, i, j, visited):
return True
return False
def exist_rec(self, board, word, level, row, col, visited):
if level == len(word):
return True
else:
m, n = len(board), len(board[0])
if 0 <= row <= m and 0 <= col <= n and board[row][col] == word[level] and not visited[row][col]:
visited[row][col] = True
if self.exist_rec(board, word, level+1, row-1, col, visited):
return True
if self.exist_rec(board, word, level+1, row+1, col, visited):
return True
if self.exist_rec(board, word, level+1, row, col-1, visited):
return True
if self.exist_rec(board, word, level+1, row, col+1, visited):
return True
visited[row][col] = False
else:
return False


Donate for Good
Thank You!
Thank you for your great generosity! We, at Nurture, greatly appreciate your donation, and your sacrifice.
Click
here
to go back.


---
layout: post
title: Emma's Logo Programming
categories: []
tags:
- education
- kids
- logo
status: publish
type: post
published: true
meta:
_original_post_id: ''
_original_import_author: John Duprey
author:
---
Emma learned procedures.. and she likes that she can name parameters anything she wants. The biggest difference between this time from the
last is that she seemed really get the concepts and did much of the typing/commanding herself.
Fruits of her labor pictured below. She also learned about circles - angles, arcs, radius, circumference. I love that I can introduce this stuff to her and that she is receptive.


Next: L'Ecuyer's Combined Recursive Generator, Previous: Wichmann-Hill Generator, Up: Base Generators
The Mersenne Twister [11] is a twisted generalized feedback shift register generator. Details of the algorithm and the implementation adopted here can be found in [11].
This algorithm has a period length of approximately 2^(19,937)-1 and has been shown to be uniformly distributed in 623 dimensions.


--- layout: post title: From Delegates To Lambdas, Pt. 3 - Lambda Expressions comments: true category: professional series: lambdas part-title: Pt. 3 - Lambda Expressions excerpt:
The 3rd post in my series on lambda expressions. This one moves you from inlined anonymous methods into lambda expressions.
---In my last post, I explained how to use anonymous methods, or inline delegates, to remove a bunch of unnecessary code from your class. This post is going to explain how lambda expressions are really just a syntatic helper to aid in the removal of more 'extra' code and to make anonymous methods a little more readable.
And that's really what lambda expressions are - cleaner ways to write anonymous methods/inline delegates.
Let's look at our example from last time. To handle two different filtering scenarios, we had this:
This isn't bad, but you still have to use the delegate keyword and declare a function, complete with parentheses and curly braces inline. That can get hard to match up pretty quickly. So here are these same lines using lambda expressions:
As I said earlier, this is really just a cleaner way to write the delegate. The left side of the lambda expression declares the inputs. You will often see these as x. That's just a convention. I chose team because I think it's more descriptive. The right side of the lambda expression holds the statement block, or function body. Pretty simple - lambda expressions are delegates. Nothing to be afraid of.
A few notes about lambda expressions before this post is over.
When a lambda expression's body contains only one line of code, you don't need a return - the result of that line of code is assumed to be the return value. So above, the line evaluates to a boolean, so that is considered the return value. That said - you CAN write lambda expressions containing multiple lines of code, but you then have to include the return keyword and wrap your expression body in curly braces. Here's a quick example:
Not super realistic, it filters by teams whose name is ten characters long.
Also - lambda expressions can take zero parameters. In that case, you use an empty set of parentheses on the left side like this:
And they can also take multiple inputs. For example, if you wanted to compare two teams:
So there you go. Lambda expressions are nothing more than clean ways to write delegates.
There's going to be one more post in this series. It's a bit of a tangent rather than a continuation, but I wanted to introduce a few classes that .NET provides to help facilitate the use of delegates in your code.


This table shows an estimate of the number of cookies sold per hour at each of the five locations, as well as an hourly breakdown across all locations.
Choose Location:


Along, with our extensive array of broadloom options Encore offers area rugs as well. Being one of the largest area rug manufacturers in the country enables us to offer rugs in any shape, size, or construction. All of our running line products are available for various types of fabrication as well as customs.


|
RTM for Unity3D
Agora Realtime Messaging for Unity3d
|
#include <IAgoraRtmService.h>
Public Member Functions | |
| virtual | ~IRtmServiceEventHandler () |
| virtual void | onLoginSuccess () |
| Occurs when a user logs in the Agora RTM system. More... | |
| virtual void | onLoginFailure (LOGIN_ERR_CODE errorCode) |
| Occurs when a user fails to log in the Agora RTM system. More... | |
| virtual void | onRenewTokenResult (const char *token, RENEW_TOKEN_ERR_CODE errorCode) |
| Returns the result of the renewToken method call. More... | |
| virtual void | onTokenExpired () |
| Occurs when the current RTM Token exceeds the 24-hour validity period. More... | |
| virtual void | onLogout (LOGOUT_ERR_CODE errorCode) |
| Occurs when a user logs out of the Agora RTM system. More... | |
| virtual void | onConnectionStateChanged (CONNECTION_STATE state, CONNECTION_CHANGE_REASON reason) |
| Occurs when the connection state changes between the SDK and the Agora RTM system. More... | |
| virtual void | onSendMessageResult (long long messageId, PEER_MESSAGE_ERR_CODE errorCode) |
| Returns the result of the sendMessageToPeer method call. More... | |
| virtual void | onMessageReceivedFromPeer (const char *peerId, const IMessage *message) |
| Occurs when receiving a peer-to-peer message. More... | |
| virtual void | onQueryPeersOnlineStatusResult (long long requestId, const PeerOnlineStatus *peersStatus, int peerCount, QUERY_PEERS_ONLINE_STATUS_ERR errorCode) |
| Returns the result of the queryPeersOnlineStatus method call. More... | |
| virtual void | onSubscriptionRequestResult (long long requestId, PEER_SUBSCRIPTION_STATUS_ERR errorCode) |
| Returns the result of the subscribePeersOnlineStatus or unsubscribePeersOnlineStatus method call. More... | |
| virtual void | onQueryPeersBySubscriptionOptionResult (long long requestId, const char *peerIds[], int peerCount, QUERY_PEERS_BY_SUBSCRIPTION_OPTION_ERR errorCode) |
| Returns the result of the queryPeersBySubscriptionOption method call. More... | |
| virtual void | onPeersOnlineStatusChanged (const PeerOnlineStatus peersStatus[], int peerCount) |
| Occurs when the online status of the peers, to whom you subscribe, changes. More... | |
| virtual void | onSetLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the setLocalUserAttributes method call. More... | |
| virtual void | onAddOrUpdateLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the addOrUpdateLocalUserAttributes method call. More... | |
| virtual void | onDeleteLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the deleteLocalUserAttributesByKeys method call. More... | |
| virtual void | onClearLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the clearLocalUserAttributes method call. More... | |
| virtual void | onGetUserAttributesResult (long long requestId, const char *userId, const RtmAttribute *attributes, int numberOfAttributes, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the getUserAttributes or getUserAttributesByKeys method call. More... | |
| virtual void | onSetChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the setChannelAttributes method call. More... | |
| virtual void | onAddOrUpdateChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the addOrUpdateChannelAttributes method call. More... | |
| virtual void | onDeleteChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the deleteChannelAttributesByKeys method call. More... | |
| virtual void | onClearChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the clearChannelAttributes method call. More... | |
| virtual void | onGetChannelAttributesResult (long long requestId, const IRtmChannelAttribute *attributes[], int numberOfAttributes, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the getChannelAttributes or getChannelAttributesByKeys method call. More... | |
| virtual void | onGetChannelMemberCountResult (long long requestId, const ChannelMemberCount *channelMemberCounts, int channelCount, GET_CHANNEL_MEMBER_COUNT_ERR_CODE errorCode) |
| Returns the result of the getChannelMemberCount method call. More... | |
| virtual | ~IRtmServiceEventHandler () |
| virtual void | onLoginSuccess () |
| Occurs when a user logs in the Agora RTM system. More... | |
| virtual void | onLoginFailure (LOGIN_ERR_CODE errorCode) |
| Occurs when a user fails to log in the Agora RTM system. More... | |
| virtual void | onRenewTokenResult (const char *token, RENEW_TOKEN_ERR_CODE errorCode) |
| Returns the result of the renewToken method call. More... | |
| virtual void | onTokenExpired () |
| Occurs when the current RTM Token exceeds the 24-hour validity period. More... | |
| virtual void | onLogout (LOGOUT_ERR_CODE errorCode) |
| Occurs when a user logs out of the Agora RTM system. More... | |
| virtual void | onConnectionStateChanged (CONNECTION_STATE state, CONNECTION_CHANGE_REASON reason) |
| Occurs when the connection state changes between the SDK and the Agora RTM system. More... | |
| virtual void | onSendMessageResult (long long messageId, PEER_MESSAGE_ERR_CODE errorCode) |
| Returns the result of the sendMessageToPeer method call. More... | |
| virtual void | onMessageReceivedFromPeer (const char *peerId, const IMessage *message) |
| Occurs when receiving a peer-to-peer message. More... | |
| virtual void | onQueryPeersOnlineStatusResult (long long requestId, const PeerOnlineStatus *peersStatus, int peerCount, QUERY_PEERS_ONLINE_STATUS_ERR errorCode) |
| Returns the result of the queryPeersOnlineStatus method call. More... | |
| virtual void | onSubscriptionRequestResult (long long requestId, PEER_SUBSCRIPTION_STATUS_ERR errorCode) |
| Returns the result of the subscribePeersOnlineStatus or unsubscribePeersOnlineStatus method call. More... | |
| virtual void | onQueryPeersBySubscriptionOptionResult (long long requestId, const char *peerIds[], int peerCount, QUERY_PEERS_BY_SUBSCRIPTION_OPTION_ERR errorCode) |
| Returns the result of the queryPeersBySubscriptionOption method call. More... | |
| virtual void | onPeersOnlineStatusChanged (const PeerOnlineStatus peersStatus[], int peerCount) |
| Occurs when the online status of the peers, to whom you subscribe, changes. More... | |
| virtual void | onSetLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the setLocalUserAttributes method call. More... | |
| virtual void | onAddOrUpdateLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the addOrUpdateLocalUserAttributes method call. More... | |
| virtual void | onDeleteLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the deleteLocalUserAttributesByKeys method call. More... | |
| virtual void | onClearLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the clearLocalUserAttributes method call. More... | |
| virtual void | onGetUserAttributesResult (long long requestId, const char *userId, const RtmAttribute *attributes, int numberOfAttributes, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the getUserAttributes or getUserAttributesByKeys method call. More... | |
| virtual void | onSetChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the setChannelAttributes method call. More... | |
| virtual void | onAddOrUpdateChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the addOrUpdateChannelAttributes method call. More... | |
| virtual void | onDeleteChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the deleteChannelAttributesByKeys method call. More... | |
| virtual void | onClearChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the clearChannelAttributes method call. More... | |
| virtual void | onGetChannelAttributesResult (long long requestId, const IRtmChannelAttribute *attributes[], int numberOfAttributes, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the getChannelAttributes or getChannelAttributesByKeys method call. More... | |
| virtual void | onGetChannelMemberCountResult (long long requestId, const ChannelMemberCount *channelMemberCounts, int channelCount, GET_CHANNEL_MEMBER_COUNT_ERR_CODE errorCode) |
| Returns the result of the getChannelMemberCount method call. More... | |
| virtual | ~IRtmServiceEventHandler () |
| virtual void | onLoginSuccess () |
| Occurs when a user logs in the Agora RTM system. More... | |
| virtual void | onLoginFailure (LOGIN_ERR_CODE errorCode) |
| Occurs when a user fails to log in the Agora RTM system. More... | |
| virtual void | onRenewTokenResult (const char *token, RENEW_TOKEN_ERR_CODE errorCode) |
| Returns the result of the renewToken method call. More... | |
| virtual void | onTokenExpired () |
| Occurs when the current RTM Token exceeds the 24-hour validity period. More... | |
| virtual void | onLogout (LOGOUT_ERR_CODE errorCode) |
| Occurs when a user logs out of the Agora RTM system. More... | |
| virtual void | onConnectionStateChanged (CONNECTION_STATE state, CONNECTION_CHANGE_REASON reason) |
| Occurs when the connection state changes between the SDK and the Agora RTM system. More... | |
| virtual void | onSendMessageResult (long long messageId, PEER_MESSAGE_ERR_CODE errorCode) |
| Returns the result of the sendMessageToPeer method call. More... | |
| virtual void | onMessageReceivedFromPeer (const char *peerId, const IMessage *message) |
| Occurs when receiving a peer-to-peer message. More... | |
| virtual void | onQueryPeersOnlineStatusResult (long long requestId, const PeerOnlineStatus *peersStatus, int peerCount, QUERY_PEERS_ONLINE_STATUS_ERR errorCode) |
| Returns the result of the queryPeersOnlineStatus method call. More... | |
| virtual void | onSubscriptionRequestResult (long long requestId, PEER_SUBSCRIPTION_STATUS_ERR errorCode) |
| Returns the result of the subscribePeersOnlineStatus or unsubscribePeersOnlineStatus method call. More... | |
| virtual void | onQueryPeersBySubscriptionOptionResult (long long requestId, const char *peerIds[], int peerCount, QUERY_PEERS_BY_SUBSCRIPTION_OPTION_ERR errorCode) |
| Returns the result of the queryPeersBySubscriptionOption method call. More... | |
| virtual void | onPeersOnlineStatusChanged (const PeerOnlineStatus peersStatus[], int peerCount) |
| Occurs when the online status of the peers, to whom you subscribe, changes. More... | |
| virtual void | onSetLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the setLocalUserAttributes method call. More... | |
| virtual void | onAddOrUpdateLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the addOrUpdateLocalUserAttributes method call. More... | |
| virtual void | onDeleteLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the deleteLocalUserAttributesByKeys method call. More... | |
| virtual void | onClearLocalUserAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the clearLocalUserAttributes method call. More... | |
| virtual void | onGetUserAttributesResult (long long requestId, const char *userId, const RtmAttribute *attributes, int numberOfAttributes, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the getUserAttributes or getUserAttributesByKeys method call. More... | |
| virtual void | onSetChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the setChannelAttributes method call. More... | |
| virtual void | onAddOrUpdateChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the addOrUpdateChannelAttributes method call. More... | |
| virtual void | onDeleteChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the deleteChannelAttributesByKeys method call. More... | |
| virtual void | onClearChannelAttributesResult (long long requestId, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the clearChannelAttributes method call. More... | |
| virtual void | onGetChannelAttributesResult (long long requestId, const IRtmChannelAttribute *attributes[], int numberOfAttributes, ATTRIBUTE_OPERATION_ERR errorCode) |
| Returns the result of the getChannelAttributes or getChannelAttributesByKeys method call. More... | |
| virtual void | onGetChannelMemberCountResult (long long requestId, const ChannelMemberCount *channelMemberCounts, int channelCount, GET_CHANNEL_MEMBER_COUNT_ERR_CODE errorCode) |
| Returns the result of the getChannelMemberCount method call. More... | |
|
virtual |
|
virtual |
|
virtual |
|
virtual |
Returns the result of the addOrUpdateChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the addOrUpdateChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the addOrUpdateChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the addOrUpdateLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the addOrUpdateLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the addOrUpdateLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the clearChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the clearChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the clearChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the clearLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the clearLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the clearLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Occurs when the connection state changes between the SDK and the Agora RTM system.
| state | The new connection state. See CONNECTION_STATE. |
| reason | The reason for the connection state change. See CONNECTION_CHANGE_REASON. |
|
virtual |
Occurs when the connection state changes between the SDK and the Agora RTM system.
| state | The new connection state. See CONNECTION_STATE. |
| reason | The reason for the connection state change. See CONNECTION_CHANGE_REASON. |
|
virtual |
Occurs when the connection state changes between the SDK and the Agora RTM system.
| state | The new connection state. See CONNECTION_STATE. |
| reason | The reason for the connection state change. See CONNECTION_CHANGE_REASON. |
|
virtual |
Returns the result of the deleteChannelAttributesByKeys method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the deleteChannelAttributesByKeys method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the deleteChannelAttributesByKeys method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the deleteLocalUserAttributesByKeys method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the deleteLocalUserAttributesByKeys method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the deleteLocalUserAttributesByKeys method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the getChannelAttributes or getChannelAttributesByKeys method call.
| requestId | The unique ID of this request. |
| attributes | An array of the returned channel attributes. |
| numberOfAttributes | The total number of the attributes. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the getChannelAttributes or getChannelAttributesByKeys method call.
| requestId | The unique ID of this request. |
| attributes | An array of the returned channel attributes. |
| numberOfAttributes | The total number of the attributes. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the getChannelAttributes or getChannelAttributesByKeys method call.
| requestId | The unique ID of this request. |
| attributes | An array of the returned channel attributes. |
| numberOfAttributes | The total number of the attributes. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the getChannelMemberCount method call.
| requestId | The unique ID of this request. |
| channelMemberCounts | An array of the channel member counts. |
| channelCount | The total number of the channels. |
| errorCode | Error Codes. See GET_CHANNEL_MEMBER_COUNT_ERR_CODE. |
|
virtual |
Returns the result of the getChannelMemberCount method call.
| requestId | The unique ID of this request. |
| channelMemberCounts | An array of the channel member counts. |
| channelCount | The total number of the channels. |
| errorCode | Error Codes. See GET_CHANNEL_MEMBER_COUNT_ERR_CODE. |
|
virtual |
Returns the result of the getChannelMemberCount method call.
| requestId | The unique ID of this request. |
| channelMemberCounts | An array of the channel member counts. |
| channelCount | The total number of the channels. |
| errorCode | Error Codes. See GET_CHANNEL_MEMBER_COUNT_ERR_CODE. |
|
virtual |
Returns the result of the getUserAttributes or getUserAttributesByKeys method call.
| requestId | The unique ID of this request. |
| userId | The user ID of the specified user. |
| attributes | An array of the returned attributes. See RtmAttribute. |
| numberOfAttributes | The total number of the user's attributes |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the getUserAttributes or getUserAttributesByKeys method call.
| requestId | The unique ID of this request. |
| userId | The user ID of the specified user. |
| attributes | An array of the returned attributes. See RtmAttribute. |
| numberOfAttributes | The total number of the user's attributes |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the getUserAttributes or getUserAttributesByKeys method call.
| requestId | The unique ID of this request. |
| userId | The user ID of the specified user. |
| attributes | An array of the returned attributes. See RtmAttribute. |
| numberOfAttributes | The total number of the user's attributes |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Occurs when a user fails to log in the Agora RTM system.
The local user receives this callback when the login method call fails. See LOGIN_ERR_CODE for the error codes.
|
virtual |
Occurs when a user fails to log in the Agora RTM system.
The local user receives this callback when the login method call fails. See LOGIN_ERR_CODE for the error codes.
|
virtual |
Occurs when a user fails to log in the Agora RTM system.
The local user receives this callback when the login method call fails. See LOGIN_ERR_CODE for the error codes.
|
virtual |
Occurs when a user logs in the Agora RTM system.
The local user receives this callback when the login method call succeeds.
|
virtual |
Occurs when a user logs in the Agora RTM system.
The local user receives this callback when the login method call succeeds.
|
virtual |
Occurs when a user logs in the Agora RTM system.
The local user receives this callback when the login method call succeeds.
|
virtual |
Occurs when a user logs out of the Agora RTM system.
The local user receives this callback when the SDK calls the logout method. See LOGOUT_ERR_CODE for the error codes.
|
virtual |
Occurs when a user logs out of the Agora RTM system.
The local user receives this callback when the SDK calls the logout method. See LOGOUT_ERR_CODE for the error codes.
|
virtual |
Occurs when a user logs out of the Agora RTM system.
The local user receives this callback when the SDK calls the logout method. See LOGOUT_ERR_CODE for the error codes.
|
virtual |
Occurs when receiving a peer-to-peer message.
| peerId | User ID of the sender. |
| message | The message sent by the sender. See IMessage. |
|
virtual |
Occurs when receiving a peer-to-peer message.
| peerId | User ID of the sender. |
| message | The message sent by the sender. See IMessage. |
|
virtual |
Occurs when receiving a peer-to-peer message.
| peerId | User ID of the sender. |
| message | The message sent by the sender. See IMessage. |
|
virtual |
Occurs when the online status of the peers, to whom you subscribe, changes.
| peersStatus | An array of peers' online states. See PeerOnlineStatus. |
| peerCount | Count of the peer(s), whose online status changes. |
|
virtual |
Occurs when the online status of the peers, to whom you subscribe, changes.
| peersStatus | An array of peers' online states. See PeerOnlineStatus. |
| peerCount | Count of the peer(s), whose online status changes. |
|
virtual |
Occurs when the online status of the peers, to whom you subscribe, changes.
| peersStatus | An array of peers' online states. See PeerOnlineStatus. |
| peerCount | Count of the peer(s), whose online status changes. |
|
virtual |
Returns the result of the queryPeersBySubscriptionOption method call.
| requestId | The unique ID of this request. |
| peerIds | A user ID array of the specified users, to whom you subscribe. |
| peerCount | Count of the peer(s). |
| errorCode | Error Codes. See QUERY_PEERS_BY_SUBSCRIPTION_OPTION_ERR. |
|
virtual |
Returns the result of the queryPeersBySubscriptionOption method call.
| requestId | The unique ID of this request. |
| peerIds | A user ID array of the specified users, to whom you subscribe. |
| peerCount | Count of the peer(s). |
| errorCode | Error Codes. See QUERY_PEERS_BY_SUBSCRIPTION_OPTION_ERR. |
|
virtual |
Returns the result of the queryPeersBySubscriptionOption method call.
| requestId | The unique ID of this request. |
| peerIds | A user ID array of the specified users, to whom you subscribe. |
| peerCount | Count of the peer(s). |
| errorCode | Error Codes. See QUERY_PEERS_BY_SUBSCRIPTION_OPTION_ERR. |
|
virtual |
Returns the result of the queryPeersOnlineStatus method call.
| requestId | The unique ID of this request. |
| peersStatus | The online status of the peer. See PeerOnlineStatus. |
| peerCount | The number of the queried peers. |
| errorCode | Error Codes. See QUERY_PEERS_ONLINE_STATUS_ERR. |
|
virtual |
Returns the result of the queryPeersOnlineStatus method call.
| requestId | The unique ID of this request. |
| peersStatus | The online status of the peer. See PeerOnlineStatus. |
| peerCount | The number of the queried peers. |
| errorCode | Error Codes. See QUERY_PEERS_ONLINE_STATUS_ERR. |
|
virtual |
Returns the result of the queryPeersOnlineStatus method call.
| requestId | The unique ID of this request. |
| peersStatus | The online status of the peer. See PeerOnlineStatus. |
| peerCount | The number of the queried peers. |
| errorCode | Error Codes. See QUERY_PEERS_ONLINE_STATUS_ERR. |
|
virtual |
Returns the result of the renewToken method call.
| token | Your new token. |
| errorCode | The error code. See RENEW_TOKEN_ERR_CODE. |
|
virtual |
Returns the result of the renewToken method call.
| token | Your new token. |
| errorCode | The error code. See RENEW_TOKEN_ERR_CODE. |
|
virtual |
Returns the result of the renewToken method call.
| token | Your new token. |
| errorCode | The error code. See RENEW_TOKEN_ERR_CODE. |
|
virtual |
Returns the result of the sendMessageToPeer method call.
| messageId | The ID of the sent message. |
| errorCode | The peer-to-peer message state. See PEER_MESSAGE_ERR_CODE. |
|
virtual |
Returns the result of the sendMessageToPeer method call.
| messageId | The ID of the sent message. |
| errorCode | The peer-to-peer message state. See PEER_MESSAGE_ERR_CODE. |
|
virtual |
Returns the result of the sendMessageToPeer method call.
| messageId | The ID of the sent message. |
| errorCode | The peer-to-peer message state. See PEER_MESSAGE_ERR_CODE. |
|
virtual |
Returns the result of the setChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the setChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the setChannelAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the setLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the setLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the setLocalUserAttributes method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See ATTRIBUTE_OPERATION_ERR. |
|
virtual |
Returns the result of the subscribePeersOnlineStatus or unsubscribePeersOnlineStatus method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See PEER_SUBSCRIPTION_STATUS_ERR. |
|
virtual |
Returns the result of the subscribePeersOnlineStatus or unsubscribePeersOnlineStatus method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See PEER_SUBSCRIPTION_STATUS_ERR. |
|
virtual |
Returns the result of the subscribePeersOnlineStatus or unsubscribePeersOnlineStatus method call.
| requestId | The unique ID of this request. |
| errorCode | Error Codes. See PEER_SUBSCRIPTION_STATUS_ERR. |
|
virtual |
Occurs when the current RTM Token exceeds the 24-hour validity period.
This callback occurs when the current RTM Token exceeds the 24-hour validity period and reminds the user to renew it. When receiving this callback, generate a new RTM Token on the server and call the renewToken method to pass the new Token on to the server.
|
virtual |
Occurs when the current RTM Token exceeds the 24-hour validity period.
This callback occurs when the current RTM Token exceeds the 24-hour validity period and reminds the user to renew it. When receiving this callback, generate a new RTM Token on the server and call the renewToken method to pass the new Token on to the server.
|
virtual |
Occurs when the current RTM Token exceeds the 24-hour validity period.
This callback occurs when the current RTM Token exceeds the 24-hour validity period and reminds the user to renew it. When receiving this callback, generate a new RTM Token on the server and call the renewToken method to pass the new Token on to the server.


Performance test: Plot n graphs with two area components per graph including legend, domain label and min/max/avg label.
Tests to perform
-
Observe the console timer to determine the time taken for adding/destroying components.
-
Get heap snapshot before and after adding graphs, check for memory leaks.
-
Get heap snapshot before and after destroying graphs, check for memory leaks.
-
Take CPU profile.
-
Open the Task Manager in Chrome and watch the memory/cpu when adding/destroying components
Graph Count:


Thank You!!
Your generosity means that we can continue to entertain the Townsville region for years to come.
You might now want to see our Upcomming Events!
If you have any questions click HERE!
Your generosity means that we can continue to entertain the Townsville region for years to come.
You might now want to see our Upcomming Events!
If you have any questions click HERE!


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<
>
The Pro Kabaddi League (PKL) is a
professional kabaddi league in india, based on the format of the
Indian Premier League T20 Cricket tournament.
The first edition of the
tournament was played in2014 with
eight franchises representing various
cities in india. Its currently managed by
Mashal sports.

>

Info
The Pro Kabaddi League (PKL) (officially known as the Star Sports Pro Kabaddi for sponsorship reasons) is a professional kabaddi league in India, based on the format of the Indian Premier League T20 cricket tournament. It is the first significant initiative of Mashal Sports and takes the truly indigenous sport of Kabaddi to new levels of professionalism. Within a short span of three years and four seasons, it has been largely successful in popularizing Kabaddi and bringing it to the masses. It not only benefits the stakeholders involved in the ecosystem of the game, but also the players themselves.
Broadcasting rights
Star Sports was named as the official broadcaster
in May 2014 with the online rights going to starsports.com
History
Pro kabaddi is a professional kabaddi league founded in 2014.It is formulated as
an eight-city league played in a "caravan format," traveling together to
all 8 venues to play a totalof 60 matches. It is an initiative of mashal sports
a company which was co founded by Mr. Anand Mahindra,
chairman, Mahindra Group and Charu Sharma, who is also
a director of Mashal Sports.
Viewership
As per the available data of the opening 2 weeks, Star Sports Pro Kabaddi viewership on TV increased by nearly 56% from the 2014 year’s viewership. During the inaugural season tournament viewership was 43.5 crore(435 million) viewers, which was the second in India after the 56 crore(560 million) of IPL viewership.
The online viewership also increased 1.3 crore unique visitors, which is 18.5 times than of last year’s 7 lakh unique visitors.
The third season which was flagged off on 30 January, recorded a surge in viewership with the opening week ratings 36 per cent higher than the week one viewership for its last season.


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Sydney's - West Queen West - Toronto, ON
8 Reviews of Sydney's "Hands down my favorite men's clothing boutique in Toronto. While most women dream of a super sized closet full of Manolo Blanik and .
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Runways and Showrooms » The Backseat Stylers | Toronto Fashion ...
Jan 27, 2013 . Target Canada Previews Brands With a Fashion Show on Ice . This past October, the calendar for our city's extended 2-week long Toronto Fashion Week . Banana Republic and Mad Men's Janie Bryant Collaborate on a .
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Jeans Collection SS 2013 - Gas Jeans online store
Clothing · Jackets · Shirts · T-shirt · Polo · Sweatshirts · Knitwears . Clothing · Dresses · Jackets · T-shirt & Top · Shirts · Skirts · Trousers & chinos · Sweatshirts .
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Runways and Showrooms » The Backseat Stylers | Toronto Fashion ...
Oct 30, 2012 . Toronto Fashion Week: Lucian Matis Spring 2013 . The U.S. retailer of men's and women's apparel and accessories, which has over 600 .
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Le New Black, selected brands for selected buyers
Le New Black is the first virtual B2B fashion platform tailored to cutting-edge . International selected brands in virtual showrooms. . Women & Men collections .
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Code quality measurement for the repository f8a-golang-insights
Source file
Line count
Linter
Docstyle
insights_engine/data_store/s3_data_store.py
106
✓
✓
insights_engine/data_store/__init__.py
1
✓
✓
insights_engine/data_store/abstract_data_store.py
40
✓
✓
insights_engine/data_store/local_filesystem.py
68
✓
✓
insights_engine/training/training.py
107
✓
✓
insights_engine/training/__init__.py
20
✓
✓
insights_engine/training/data_preprocessing.py
211
✓
✓
insights_engine/config.py
43
✓
✓
insights_engine/__init__.py
1
✓
✓
insights_engine/rest_api.py
66
✓
✓
insights_engine/scoring/__init__.py
20
✓
✓
insights_engine/scoring/rules_predict.py
87
✓
✓
tests/load_test/locustfile.py
51
✓
✓
tests/unit_tests/test_local_datastore.py
10
✓
✓
tests/unit_tests/test_rest_api.py
72
✓
✓
tools/check_python_version.py
71
✓
✓
Author: Pavel Tisnovsky <
<EMAIL_ADDRESS>>
Generated on: 2020-04-28 12:44:30


I grew up in Astoria, Oregon. I moved to Corvallis to go to OSU and then to Portland to finish at PSU. I've been in Portland for almost 10 years. My wife's name is Carolyn and we have two kids, Amelia and Ayden.
I'm excited about learning to code and a career change. Coding most intrigues me because of the all the possiblities of what
you can create. Creating a program or idea you have in your head and seeing it work on the computer is exciting.


dash.localize.gc1d
Computes localization weights along a depth/height/Z dimension using a Gaspari-Cohn 5th order polynomial
Syntax
Description
Calculates covariance localization weights for an assimilation using a specified cutoff distance. The method proceeds by determining the distances between a set of depths/heights/Z-coordinates and then applying a Gaspari-Cohn 5th order polynomial to the distances. This can be used to implement localization along the depth/height/Z coordinate of an ensemble. If the distance between two depths/heights/Z-coordinates is NaN, returns a weight of 1 (i.e. no localization).
Specifies the length scale for the polynomial. By default, uses a length scale of 0.5, which sets the localization distance equal to the cutoff distance.
Input Arguments
stateDepths
numeric vector [nState]
The depth/height/Z coordinate of the state vector elements. Any units are permitted so long as the siteDepths and cutoff distance use the same units.
siteDepths
numeric vector [nSite]
The depth/height/Z coordinate of the proxy sites. Should use the same units as stateDepths.
distance
positive numeric scalar
The localization cutoff distance. Should use the same units as stateDepths
scale
numeric scalar
The length scale to use for the Gaspari-Cohn polynomial. Must be on the interval 0 < scale <= 0.5. By default, uses a length scale of 0.5, which sets the localization distance equal to the cutoff distance
Output Arguments
wloc
numeric matrix [nState x nSite]
The covariance localization weights between the state vector elements and proxyobservation sites.
yloc
numeric matrix [nSite x nSite]
The covariance localization weights between the proxy/observation sites and one another.


Yousaf Baig Mirza resigns as PM Imran's special assistant
by Our CorrespondentSpecial Assistant to the Prime Minister on Media Affairs Yousaf Baig Mirza resigned from his position after citing personal reasons on Wednesday.
Mirza served in the position of special assistant for almost a year.
In December 2018, the prominent media personality was appointed the SAPM on Media Affairs.
Mirza, with vast experience in working for local and international media, provided leadership for various private and state-run media houses at the national level. He also played a key role in transforming Pakistan Television (PTV) in accordance with contemporary requirements.
Yousaf Baig Mirza also served all renowned private TV channels at top positions and holds a prominent place in the local media industry.
Prime Minister Imran Khan had appointed Mirza, considering his leadership qualities and vast experience in public and private media.


Secure session
Secure session is a lightweight mechanism to secure any network communications (both private and public networks including Internet). It is protocol agnostic and operates on the 5th layer of the network OSI model. Some features: secure end-to-end communication perfect forward secrecy strong mutual peer authentication replay protection low negotiation round-trip uses strong cryptography (including ECC) lightweight, easy to use easy to integrate into existing applications
Communications over secure session contains 2 stages: negotiation (key agreement) stage and actual data exchange.
Negotiation stage
During negotiation stage peers exchange their cryptographic material and authenticate each other. After successful mutual authentication each peer derives session shared secret and other session auxiliary info (session id, initial vectors etc).
NOTE: session id is random and derived from negotiated cryptographic material by each peer independently. There is no way specific value can be enforced by one of the peers.
Data exchange stage
During data exchange stage peers securely exchange data which is provided by higher layer protocols. Session parameters (state) can be saved and restored in any time, so the lifetime of the session expand the underlying environment's powercycle.
WARNING: session state contains sensitive information and should be stored and handled in a secure manner. For example, Secure cell may be used.
Here is how data is protected within the session:
Integration scenarios
Secure session only provides security services and does not do actual network communication. In fact, it is decoupled and independent from any networking implementation. So it's callers responsibility to provide actual network transport for it to use. For easy integration and use there are two types of API available: callback API and buffer-aware API.
Callback API
The easiest way to quickly leverage secure session in your solution is to implement a set of simple callback methods and register them within secure session framework. These callbacks are a little more than just simple send/receive methods, but this is the interface which will bind generic secure session communication with your actual networking implementation.
Buffer-aware API This type of API is useful when integrating secure session in an application with sophisticated established network processing path. So it is more convenient to just add some calls to secure session somewhere in this path. These calls will operate on client-provided buffers rather than using callbacks.
Complex scenarios
With some care in mind it is possible to mix these APIs together and use them simultaneously when neither of the above simple cases is applicable to a specific solution. For example, use buffer-aware API for receiving data, but callback API for sending data use callback API in negotiation stage, buffer-aware API in data exchange stage switch from callback API to buffer-aware API and back in run-time based on some conditions etc
WARNING: invoking any secure session API on same secure session context should be synchronized with respect to that context.


This package provides sorted drop-in versions of Python’s set and dict (with optional augmentation). Being tree based, they are not as efficient as hash-based containers (such as Python’s builtins) for simple lookup and modification. Conversely:
Supports high-performance algorithms for different use-cases:
- Red-black trees for normal cases
- Splay trees for temporal locality cases (i.e., when only a small subset of items will actually be accessed in any time period)
- Sorted lists for infrequent-update cases
Provides Pythonic interfaces:
Allows optional tree augmentation with additional node metadata and tree methods:
- Dynamic order statistics allow queries for the k-th item
- Interval trees allow geometric querying
- Any user-defined algorithm can be easily plugged in
Note
This feature can be almost entirely ignored if all that is needed are efficient sorted drop-in replacemnt containers for Python’s sets and dicts.
Optimized implementation (see the Performance section in the online documentation):
- C++ templated backend drives the implementation. C++ template metaprogramming is used to avoid run-time queries along the search path
- Homogeneous-key trees optimization
Note
The following examples assume first typing:
>>> from banyan import *
Choose an algorithm suiting the settings, and obtain a drop-in sorted replacement for Python’s builtins:
A (red-black tree) general drop-in replacement for Python’s set:
>>> t = SortedSet([2, 3, 1]) >>> t SortedSet([1, 2, 3]) >>> assert 2 in t >>> t.add(4) >>> len(t) 4 >>> t.add(4) >>> len(t) 4 >>> t.remove(4) >>> len(t) 3 >>> t.remove(4) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "banyan/__init__.py", line 299, in remove self._tree.erase(item) KeyError: 4A splay-based sorted drop-in replacement for Python’s dict, optimized for temporal-locality accesses:
>>> t = SortedDict([(2, 'b'), (3, 'c'), (1, 'a')], alg = SPLAY_TREE) >>> print(list(t)) [1, 2, 3] >>> assert 1 in t >>> assert 4 not in t >>> # Now access the key 2 for awhile >>> t[2] = 'e' >>> t[2] = 'f' >>> t[2] = 'g' >>> t[2] = 'a' >>> t[2] = 'b' >>> t[2] = 'c' >>> t[2] = 'd' >>> t[2] = 'e'A (sorted-list based) sorted memory-efficient drop in for Python’s frozenset:
>>> t = FrozenSortedSet(['hao', 'jiu', 'mei', 'jian']) >>> assert 'hao' in t >>> assert 'zaijian' not in t >>> t.add('zaijian') Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: 'FrozenSortedSet' object has no attribute 'add'
Specify the comparison criteria - e.g., use a string dictionary with lowercase comparison:
- Using the newer-style key parameter:
>>> t = SortedDict(key = str.lower) >>> t['hao'] = 3 >>> t['Hao'] = 4 >>> t SortedDict({'Hao': 4})
- Using the older-style (pre-Py3K) compare parameter:
>>> t = SortedDict(compare = lambda x, y: cmp(str.lower(x), str.lower(y))) >>> t['hao'] = 3 >>> t['Hao'] = 4 >>> t SortedDict({'Hao': 4})
>>> import string
>>>
>>> t = SortedDict(zip(string.ascii_lowercase, string.ascii_uppercase))
>>>
>>> # Erase everything starting at 'e'
>>> del t['e': ]
>>> t
SortedDict({'a': 'A', 'b': 'B', 'c': 'C', 'd': 'D'})
>>>
>>> # View the items between 'b' and 'd'
>>> t.items('b', 'd')
ItemsView([('b', 'B'), ('c', 'C')])
>>>
>>> # View the values of the keys between 'a' and 'c', in reverse order
>>> t.values('a', 'c', reverse = True)
ValuesView(['B', 'A'])
>>>
>>> # Set the three values of the keys between 'a' and 'd' to 2
>>> t['a': 'd'] = [2, 2, 2]
>>> t
SortedDict({'a': 2, 'b': 2, 'c': 2, 'd': 'D'})
Easily use homogeneous-keys optimization:
>>> # Simply specify the key type as key_type - no other changes are needed. >>> t = SortedSet([1, 2, 3], key_type = int) >>> assert 2 in t >>> t = SortedSet(['hao', 'jiu', 'mei', 'jian'], key_type = str) >>> assert 'hola' not in t
>>> from itertools import *
>>>
>>> t = SortedSet(['hao', 'jiu', 'mei', 'jian'])
>>> t
SortedSet(['hao', 'jian', 'jiu', 'mei'])
>>> assert 'hao' in t
>>>
>>> # Find the key after 'hao'
>>> keys = t.keys('hao', None)
>>> next(islice(keys, 1, None))
'jian'
Exploit the tree structure for additional efficient functionality:
- Use an overlapping-interval updator for creating a data structure that can efficiently answer overlapping queries:
>>> t = SortedSet([(1, 3), (2, 4), (-2, 9)], updator = OverlappingIntervalsUpdator) >>> >>> print(t.overlap_point(-5)) [] >>> print(t.overlap_point(5)) [(-2, 9)] >>> print(t.overlap_point(3.5)) [(-2, 9), (2, 4)] >>> >>> print(t.overlap((-10, 10))) [(-2, 9), (1, 3), (2, 4)]For high performance, combine this with homogeneous-keys optimization:
>>> t = SortedSet(key_type = (int, int), updator = OverlappingIntervalsUpdator) >>> t.add((1, 3)) >>> t.overlap_point(2) [(1, 3)] >>> >>> t = SortedSet(key_type = (float, float), updator = OverlappingIntervalsUpdator) >>> t.add((1.0, 3.0)) >>> t.overlap_point(2.5) [(1.0, 3.0)]
- Use a rank updator for creating a data structure that can efficiently answer order queries:
>>> t = SortedSet(['hao', 'jiu', 'mei', 'jian'], updator = RankUpdator) >>> t SortedSet(['hao', 'jian', 'jiu', 'mei']) >>> >>> # 'hao' is item no. 0 >>> t.kth(0) 'hao' >>> t.order('hao') 0 >>> >>> # 'mei' is item no. 3 >>> t.kth(3) 'mei' >>> t.order('mei') 3
- Use a min-gap updator for creating a data structur that can efficiently answer smallest-gap queries:
>>> t = SortedSet([1, 3, 2], updator = MinGapUpdator) >>> t SortedSet([1, 2, 3]) >>> t.min_gap() 1 >>> t.remove(2) >>> t SortedSet([1, 3]) >>> t.min_gap() 2
The package is at PyPI.
The usual setup for Python libraries is used. Type:
$ pip install banyan
or
$ sudo pip install banyan
Note
To install this package from the source distribution, the system must have a C++ compiler installed. The setup script will invoke this compiler.
Using Python 2.x on Windows will attempt to invoke Visual Studio 2008. If you are using a later version, download and extract the archive; then, from within the Banyan directory, use
> SET VS90COMNTOOLS=%VS100COMNTOOLS%
or
> SET VS90COMNTOOLS=%VS110COMNTOOLS%
(for Visual Studio 2010 and 2012, respectively), followed by
> python setup.py install
The documentation is hosted at PyPI Docs and can also be found in the ‘docs’ directory of the distribution.
Bugtracking is on Google Code.
| Version | Date | Description |
|---|---|---|
| 0.1.5 | 05/04/2013 | Faster red-black tree iteration; minor documentation bugfixes |
| 0.1.4 | 01/04/2013 | User key-function specification optimization; performance tests for dictionary types; better warnings for user mismatched policies |
| <IP_ADDRESS> | 30/3/2013 | OverlappingIntervalsUpdator: more regression tests + performance improvements + performance comparison tests |
| 0.1.3 | 28/03/2013 | OverlappingIntervalsUpdator implemented; minor documentation bugfixes |
| 0.1.2 | 26/03/2013 | Efficient C++ RankUpdator and MinGapUpdator; MinMaxUpdator out; major internal simplification |
| 0.1.0 | 17/03/2013 | Initial release |


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UINavigationController(FDFullscreenPopGesture) Category Reference
| Declared in | UINavigationController+FDFullscreenPopGesture.h UINavigationController+FDFullscreenPopGesture.m |
|---|
Overview
Adding the implementation file of this category to your target will automatically patch UINavigationController with this feature.
fd_fullscreenPopGestureRecognizer
The gesture recognizer that actually handles interactive pop.
@property (nonatomic, strong, readonly) UIPanGestureRecognizer *fd_fullscreenPopGestureRecognizer
Discussion
The gesture recognizer that actually handles interactive pop.
Declared In
UINavigationController+FDFullscreenPopGesture.h
fd_viewControllerBasedNavigationBarAppearanceEnabled
A view controller is able to control navigation bar’s appearance by itself, rather than a global way, checking “fd_prefersNavigationBarHidden” property. Default to YES, disable it if you don’t want so.
@property (nonatomic, assign) BOOL fd_viewControllerBasedNavigationBarAppearanceEnabled
Discussion
A view controller is able to control navigation bar’s appearance by itself, rather than a global way, checking “fd_prefersNavigationBarHidden” property. Default to YES, disable it if you don’t want so.
Declared In
UINavigationController+FDFullscreenPopGesture.h


|
| static int | areConnected (const OdeBody body1, const OdeBody body2) |
| | Returns 1 if the given bodies are connected by a joint, returns 0 otherwise. More...
|
| |
| static int | areConnectedExcluding (const OdeBody body1, const OdeBody body2, const int joint_type) |
| | Returns 1 if the given bodies are connected by a joint that does not match the given joint_type, returns 0 otherwise. More...
|
| |
| static OdeCollisionEntry | collide (const OdeGeom geom1, const OdeGeom geom2, const short int max_contacts) |
| | Given two geometry objects that potentially touch (geom1 and geom2), generate contact information for them. More...
|
| |
| static int | collide2 (const OdeGeom geom1, const OdeGeom geom2, object arg, object callback) |
| |
| static OdeJoint | getConnectingJoint (const OdeBody body1, const OdeBody body2) |
| | Returns the joint that connects the given bodies. More...
|
| |
| static OdeJointCollection | getConnectingJointList (const OdeBody body1, const OdeBody body2) |
| | Returns a collection of joints connecting the specified bodies. More...
|
| |
| static DReal | getInfinity () |
| |
| static int | randGetSeed () |
| |
| static | randSetSeed (int s) |
| |
| static OdeGeom | spaceToGeom (const OdeSpace space) |
| |


Local debugging for Python in PyCharm requires PyCharm's remote debugging functionality, which is only available in PyCharm Professional. After making sure you are running the Professional edition, follow these steps to start local debugging for Python in PyCharm:
lean backtest "<projectName>" --debug pycharm
.
$ lean backtest "My Project" --debug pycharm 20210322 18:58:23.355 TRACE:: Engine.Main(): LEAN ALGORITHMIC TRADING ENGINE v<IP_ADDRESS> Mode: DEBUG (64bit) 20210322 18:58:23.360 TRACE:: Engine.Main(): Started 6:58 PM
After finishing Python debugging with PyCharm, you will see a message saying "Connection to Python debugger failed". You can safely ignore this message.


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| (a) | [ importList ] mainProgram | |||||||
| (b) | unit moduleDeclaration | |||||||
| (c) | unit monitorDeclaration | |||||||
| (d) | unit classDeclaration |
The main program, which is in another file, gains access to the stack by importing it. Here is the main program:
unit % The keyword unit begins each separate file
module stack
export push, pop
var top : int := 0
var contents : array 1 .. 100 of int
procedure push ( i : int )
top += 1
contents ( top ) := i
end push
procedure pop ( i : int )
i := contents ( top )
top -= 1
end pop
end stack
import var stack % Use the stack
var n : int
stack . push ( n )
stack . pop ( n )
If the stack were in a file with a different name, say stk.t, the import list would be rewritten to use an in clause, as follows:
A mainProgram is simply a program. See program.
import var stack in "stk.t"