Nadal beaten by Zverev in ATP Finals opener
LONDON, Nov 12 — World number one Rafael Nadal made a disappointing start at the ATP Finals as he suffered a first career loss to Germany’s reigning champion Alexander Zverev, going down 6-2 6-4 yesterday.
The Spaniard, seeking a first title at the event and hoping to secure the year-end number one ranking for a fifth time, showed no sign of the abdominal injury sustained in Paris this month, but was comprehensively outplayed.
Zverev broke serve in the fifth game and again two games later when Nadal blazed a wild forehand wide.
The 33-year-old dropped his serve again at the start of the second set and with Zverev rock solid on his own delivery he never allowed the Spaniard a glimpse of an opportunity.
The statistics told the story of the match with Zverev striking 26 winners to Nadal’s 13 and winning 30 of 34 points behind his first serve.
World number seven Zverev, 22, has now beaten Roger Federer, Novak Djokovic and Nadal in consecutive matches at the O2 Arena where last year he claimed the biggest title of his career.
It proved quite the day for ending losing streaks.
Just as Zverev claimed a first win in six meetings with Nadal, Stefanos Tsitsipas had earlier beaten Daniil Medvedev 7-6(5) 6-4 in the battle of the debutants having been 0-5 against the Russian in previous meetings.
Nadal, who missed last year’s ATP Finals and played only one group match in 2017 because of injury, arrived in London with a 640-point lead over Novak Djokovic in the rankings.
With 200 points for each round-robin match, Djokovic cut that deficit on Sunday by thrashing Italian Matteo Berrettini.
Nadal takes on Medvedev in his second round-robin match tomorrow in a repeat of this year’s US Open final in which he took his Grand Slam haul to 19. Zverev faces Tsitsipas next.
Djokovic, seeking a record-equalling sixth ATP Finals title, can close the gap further today when he takes on Austrian Dominic Thiem. — Reuters


3.3. LDAP Authentication
Presto can be configured to enable frontend LDAP authentication over HTTPS for clients, such as the Presto CLI, or the JDBC and ODBC drivers. At present only simple LDAP authentication mechanism involving username and password is supported. The Presto client sends a username and password to the coordinator and coordinator validates these credentials using an external LDAP service.
To enable LDAP authentication for Presto, configuration changes are made on the Presto coordinator. No changes are required to the worker configuration; only the communication from the clients to the coordinator is authenticated.
Presto Server Configuration
Environment Configuration
Secure LDAP
Presto requires Secure LDAP (LDAPS), so make sure you have TLS enabled on your LDAP server.
TLS Configuration on Presto Coordinator
You need to import the LDAP server’s TLS certificate to the default Java
truststore of the Presto coordinator to secure TLS connection. You can use
the following example keytool command to import the certificate
ldap_server.crt
, to the truststore on the coordinator.
$ keytool -import -keystore <JAVA_HOME>/jre/lib/security/cacerts -trustcacerts -alias ldap_server -file ldap_server.crt
In addition to this, access to the Presto coordinator should be through HTTPS. You can do it by creating a Java Keystore File for TLS on the coordinator.
Presto Coordinator Node Configuration
You must make the following changes to the environment prior to configuring the Presto coordinator to use LDAP authentication and HTTPS.
You also need to make following changes to the Presto configuration files.
config.properties
LDAP authentication is configured in the coordinator node’s config.properties file. Properties that need to be added, along with their sample values, are listed below.
http-server.authentication.type=LDAP
authentication.ldap.url=ldaps://ldap-server:636
authentication.ldap.user-bind-pattern=<Refer below for usage>
http-server.https.enabled=true
http-server.https.port=8443
http-server.https.keystore.path=/etc/presto_keystore.jks
http-server.https.keystore.key=keystore_password
| Property | Description |
|---|---|
http-server.authentication.type |
Enable LDAP authentication for the Presto coordinator.
Must be set to LDAP . |
authentication.ldap.url |
The url to the LDAP server. The url scheme must be
ldaps:// since Presto allows only Secure LDAP. |
authentication.ldap.user-bind-pattern |
This property can be used to specify the LDAP user
bind string for password authentication. This property
must contain the pattern ${USER} which will be
replaced by the actual username during the password
authentication. Example<EMAIL_ADDRESS>. |
http-server.https.enabled |
Enables HTTPS access for the Presto coordinator.
Should be set to true . Default value is
false . |
http-server.https.port |
HTTPS server port. |
http-server.https.keystore.path |
The location of the Java Keystore file that will be used to secure TLS. |
http-server.https.keystore.key |
The password for the keystore. This must match the password you specified when creating the keystore. |
Based on the LDAP server implementation types, the property authentication.ldap.user-bind-pattern
can be in the following format.
For Active Directory:
authentication.ldap.user-bind-pattern=${USER}@<domain_name_of_the_server>
Example:
<EMAIL_ADDRESS>For OpenLDAP:
authentication.ldap.user-bind-pattern=uid=${USER},<distinguished_name_of_the_user>
Example:
authentication.ldap.user-bind-pattern=uid=${USER},OU=America,DC=corp,DC=domain,DC=com
Authorization based on LDAP Group Membership
You can further restrict the set of users allowed to connect to the Presto coordinator based on their group membership.
In addition to the basic LDAP authentication properties, you need group-membership specific
properties in config.properties
. This optional feature can be enabled by setting
properties authentication.ldap.group-auth-pattern
and
authentication.ldap.user-base-dn
.
| Property | Description |
|---|---|
authentication.ldap.user-base-dn |
The base LDAP distinguished name for the user
who tries to connect to the server.
Example: OU=America,DC=corp,DC=domain,DC=com |
authentication.ldap.group-auth-pattern |
This property is used to specify the LDAP query for
the LDAP group membership authorization. This query
will be executed against the LDAP server and if
successful, the user will be authorized.
This property must contain a pattern ${USER}
which will be replaced by the actual username in
the group authorization search query.
See samples below. |
Based on the LDAP server implementation types, the property authentication.ldap.group-auth-pattern
can be in the following format.
For Active Directory:
authentication.ldap.group-auth-pattern=(&(objectClass=<objectclass_of_user>)(sAMAccountName=${USER})(memberof=<dn_of_the_authorized_group>))
Example:
authentication.ldap.group-auth-pattern=(&(objectClass=person)(sAMAccountName=${USER})(memberof=CN=AuthorizedGroup,OU=Asia,DC=corp,DC=domain,DC=com))
For OpenLDAP:
authentication.ldap.group-auth-pattern=(&(objectClass=<objectclass_of_user>)(uid=${USER})(memberof=<dn_of_the_authorized_group>))
Example:
authentication.ldap.group-auth-pattern=(&(objectClass=inetOrgPerson)(uid=${USER})(memberof=CN=AuthorizedGroup,OU=Asia,DC=corp,DC=domain,DC=com))
For OpenLDAP, for this query to work, make sure you enable the
memberOf
overlay.
You can also use this property for scenarios where you want to authorize a user based on complex group authorization search queries. For eg: if you want to authorize a user belonging to any one of multiple groups (in OpenLDAP), then this property can be set as:
authentication.ldap.group-auth-pattern=(&(|(memberOf=CN=normal_group,DC=corp,DC=com)(memberOf=CN=another_group,DC=com))(objectClass=inetOrgPerson)(uid=${USER}))
Presto CLI
Environment Configuration
TLS Configuration
Access to the Presto coordinator should be through HTTPS when using LDAP authentication. The Presto CLI can use either a Java Keystore file or Java Truststore for its TLS configuration.
If you are using keystore file, it can be copied to the client machine and used for its TLS configuration. If you are using truststore, you can either use default java truststores or create a custom truststore on the CLI. We do not recommend using self-signed certificates in production.
Presto CLI Execution
In addition to the options that are required when connecting to a Presto
coordinator that does not require LDAP authentication, invoking the CLI
with LDAP support enabled requires a number of additional command line
options. You can either use --keystore-*
or --truststore-*
properties
to secure TLS connection. The simplest way to invoke the CLI is with a
wrapper script.
#!/bin/bash
./presto \
--server https://presto-coordinator.example.com:8443 \
--keystore-path /tmp/presto.jks \
--keystore-password password \
--truststore-path /tmp/presto_truststore.jks \
--truststore-password password \
--catalog <catalog> \
--schema <schema> \
--user <LDAP user> \
--password
| Option | Description |
|---|---|
--server |
The address and port of the Presto coordinator. The port must
be set to the port the Presto coordinator is listening for HTTPS
connections on. Presto CLI does not support using http scheme for
the url when using LDAP authentication. |
--keystore-path |
The location of the Java Keystore file that will be used to secure TLS. |
--keystore-password |
The password for the keystore. This must match the password you specified when creating the keystore. |
--truststore-path |
The location of the Java Truststore file that will be used to secure TLS. |
--truststore-password |
The password for the truststore. This must match the password you specified when creating the truststore. |
--user |
The LDAP username. For Active Directory this should be your
sAMAccountName and for OpenLDAP this should be the uid of
the user. This is the username which will be
used to replace the ${USER} placeholder pattern in the properties
specified in config.properties . |
--password |
Prompts for a password for the user . |
Troubleshooting
Java Keystore File Verification
Verify the password for a keystore file and view its contents using Java Keystore File Verification.
SSL Debugging for Presto CLI
If you encounter any SSL related errors when running Presto CLI, you can run CLI using -Djavax.net.debug=ssl
parameter for debugging. You should use the Presto CLI executable jar to enable this. Eg:
java -Djavax.net.debug=ssl \
-jar \
presto-cli-<version>-executable.jar \
--server https://coordinator:8443 \
<other_cli_arguments>
Common SSL errors
java.security.cert.CertificateException: No subject alternative names present
This error is seen when the Presto coordinator’s certificate is invalid and does not have the IP you provide
in the --server
argument of the CLI. You will have to regenerate the coordinator’s SSL certificate
with the appropriate SAN added.
Adding a SAN to this certificate is required in cases where https://
uses IP address in the URL rather
than the domain contained in the coordinator’s certificate, and the certificate does not contain the
SAN parameter with the matching IP address as an alternative attribute.


Raspbian Addons
Installing:
To install the repository, make sure you have an Internet connection. Install Python with sudo apt install python3, then run this command:
wget -q<EMAIL_ADDRESS>-O repo.py; python3 repo.py; rm repo.py
Uninstalling:
To uninstall the repository, execute this command, and when asked, answer 'R'
wget -q<EMAIL_ADDRESS>-O repo.sh; bash repo.sh; rm repo.sh
wget -q<EMAIL_ADDRESS>-O repo.py; python3 repo.py; rm repo.py
wget -q<EMAIL_ADDRESS>-O repo.sh; bash repo.sh; rm repo.sh


--- layout: post title: Finally, a New Laptop! excerpt: Why I choose this new laptop categories: - Linux tags: - [Linux, ultrabook, hardware] ---
Finally, I received my new laptop, the HP Spectre 13t-3000 ultrabook, on this Monday, MLK Day! I was so excited that I spent a lot of time playing around with it this week. Here I would talk about the reasons why I've chosen this one, and I would write something about the installation of Arch Linux on this ultrabook in a later post.
Here are the important factors I would seriously consider when choosing my new laptop:
Finally, I decided to choose from HP Spectre 13t-3000 and Dell XPS 13, both of which seem to satisfy my needs. The pros for the Dell XPS 13 are:
The pros for HP Spectre 13t-3000 are:
Still, I was a little worried about the Linux compatibility of HP Spectre 13t-3000 until I found someone else on youtube had successfully installed Kubuntu on it and it seemed there were no big problems. I also found a 200-dollar off coupon code for HP and it made the total price even cheaper(Er, I mean, relatively, it is still an expensive laptop). In addition, I found dealing with HP is much easier than Dell. I have an aweful experience with Dell. Based on these considerations, I finally go for the HP Spectre 13t-3000.
Up until now, I'm quite satified with this ultrabook. However, if there is an option offered by HP that I could have such a high resolution QHD screen without the touch feature, I would say this ultrabook will be perfect to me. I couldn't find anything useful of a touchscreen since I use Linux exclusively in this ultrabook. Maybe Unity 8, which is said to be out in Ubuntu 14.10, will have some touchscreen-friendly designs. I couldn't find such designs right now in KDE Plasma Desktop, which is my main Linux DE now. What's more, a touchscreen is heavier than a non-touch one, and I could feel clearly that this ultrabook is heavier that the Macbook Air, especially the screen. The touchscreen could shorten the battery life, too. However, since this laptop is originally shipped with Windows 8, a touchscreen seems inevitable. What a pity.


Dr. Helvetica:
Ah, thank you very much. This means... Supporting Necromancer... Athenia.. What? What is this? This letter is about supporting Priestess Athenia instead of me!!
Hey, are you joking with me? If you don't get lost right away, I will kick you out with the Bulldozer Rem. Please leave already.


--- date: 2010-12-25T00:00:00Z published: true title: Angry Father Castrates Daughter's Older Boyfriend | YourTango url: /2010/12/25/angry-father-castrates-daughter-s-older-boyfriend-yourtango/ ---
We've all dated someone who didn't pass our parents' approval meter, but nothing, not even Dad's "rules for courting my little girl" lectures, can beat how this 47-year-old German man taught his daughter's older boyfriend a lesson. Helmut Seifert, father of a seventeen year-old girl, castrated Philip Genscher, 57, with a bread knife after an anonymous tipper notified him of their relationship.


Road crashes kill 252 people in three regions
by Dennis Peprah, GNASunyani, Nov. 21, GNA - Road crashes have killed 252 people in the Bono, Bono East and Ahafo regions this year.
Last year 188 deaths were recorded, Superintendent Stephen Tenkorang, the Regional Commander of the Motor Traffic and Transport Department (MTTD) of the Ghana Police Service, said on Thursday.
He was speaking at the launching of Road Safety Education Training Programme, under the Presidential Special Initiative (PSI) and the 2019 Road Safety Christmas programme of the National Road Safety Authority (NRSA) in Sunyani.
The Bono, Bono East and Ahafo Regional secretariat of the NRSA in Sunyani has outlined series of road safety educational outreach exercises to ensure accident free Christmas.
It is being held under the theme: "Stop road accident before it kills you".
In collaboration with the Driver Vehicle and Licensing Authority (DVLA), the MTTD and other road agencies, the campaign seeks to intensify road safety enforcements and education on major highways and accident prone areas in the regions.
Superintendent Tenkorang said driver errors have been identified as major contributory factors to road crashes in the regions.
He cautioned commercial drivers against over-speeding, wrongful overtaking and drunk driving to control road accidents before, during and beyond the Christmas festivities.
Mr Martin Obeng, the Sunyani West Municipal Chief Executive, said effective collaboration was required among all key stakeholders to stem road crashess.
He said passengers, drivers and pedestrians have equal roles and responsibilities to play in controlling crashes and advised passengers to check drivers against careless driving.
Mr Obeng urged the police to intensify enforcements to bring sanity on the highways.
Mr Kwasi Agyenim Boateng, the Bono, Bono East and Ahafo Regional Head of the NRSA said the Authority would select and train 800 drivers in the three regions.
He reminded drivers that the weather would not be favourable as the dry season sets in, and advised them to always check their brakes, tyres and lighting systems before journeying.
Mr Boateng also advised passengers to always wear seat belts whenever they board vehicles.
GNA


Coal as a fuel has been started 800 years ago. With the invention and application of steam engine, coal is widely used in metallurgy, chemical industry, cement, electric power, heating, boiler and other industries as high-quality fuel, which has brought unprecedented productivity to the society, and is known as the real "industrial food". With the gradual increase of market demand, the preparation of pulverized coal has also raised a upsurge.
In the process of pulverized coal production, it is very easy to produce pollution, and the limitation of technology make the processing efficiency low, which causes a lot of waste. However, the coal is the non renewable resource, so it becomes an urgent problem that how to avoid pollution and improve its utilization. In order to solve this problem, it is necessary to use appropriate equipment and advanced technology to achieve high efficiency and clean of pulverized coal preparation.
CLEAN PRODUCTION
EQUIPMENT IS THE KEY
OUTPUT SIZE : 1.6-0.038MM
PRODUCTION CAPACITY : 3.5-45T/H
-Bevel gear transmission, energy consumption reduction 20~30%.
-Variable frequency control, controllable and adjustable particle size.
-Advanced technology, high efficiency and low operation cost.
-Passed the environmental certification, and meet the clean requirements.consumption.
INPUT SIZE：＜50mm
OUTPUT SIZE : 20-425mesh（0.84-0.033mm）
PRODUCTION CAPACITY : 10-300t/h
-Advanced technology, high efficiency and energy saving.
-Automatic control, convenient and accurate.
-Circulating lubrication, safe and reliable.
-Balanced grinding pressure, stable product quality.
INPUT SIZE : 15-25mm
OUTPUT SIZE : 0.044-0.165 mm
PRODUCTION CAPACITY : Up to 3.2TPH capacity, depends on the size of fineness
-Simple structure, easy operation and low cost.
-Self - independent production system, the process is complete.
-The fineness is in 613μm~440μm, screening rate is up to 99%.
-High capacity and high efficiency and less consumption.
Raw Material testing
Program Design
On-site Planning
Installation Guidance
Technical Training
After-sale Maintenance
RELATED EQUIPMENT RECOMMENDATION ...


Installation¶
This is a Python package, so you’ll need to have Python installed to use it. If you’re using linux, you probably already have Python. If you’re on Windows, you can download a Python installer from Anaconda , Active State , or even WinPython .
Once you have Python, you can install this package by opening a terminal window and typing the command:
$ easy_install kicost
Or:
$ pip install kicost
Note that if you install KiCost using pip
on a Windows system running Python 2.7,
using the default option that web scrapes with parallel processes may cause
MANY errors. You can avoid this problem by:
using
easy_install
to install KiCost, oruse the
-s
KiCost option to serialize the web scraping.
On Linux, for a full install procedure on Python3, use (for Python2, replace pip3
for pip
on each command):
$ sudo apt-get install python3-pip # Or ``python-pip`` to install PIP on Python2.
$ sudo -H pip3 install -U pip # Upgrade the PIP version.
$ sudo -H pip3 install kicost # Install KiCost from PyPI.
For install the graphical dependence used by KiCost GUI:
$ sudo -H pip3 install wxpython
or
$ sudo -H pip3 install -U -f https://extras.wxpython.org/wxPython4/extras/linux/gtk3/ubuntu-16.04 wxPython # For Ubuntu 16.04
$ kicost # Execute KiCost without input arguments to initialize the GUI.
For install the last code version from GitHub, use:
$ sudo apt-get install git # It's necessary to have Git installed.
$ sudo -H pip3 install -U git+https://github.com/xesscorp/KiCost.git


Tom Brady Posts Simple Message After Loss To The Chiefs
by Alek ArendIf there’s one thing we all know about Patriots QB Tom Brady, it’s that he won’t let a loss detour him from the team’s goals. New England’s defeat to the Kansas City Chiefs on Sunday was ugly. But Brady is bound to come back better than ever.
The Patriots’ quarterback took to Twitter to post a simple message after the loss. Brady’s clearly already moved on and is ready to get back to winning.
“We’re on to Cincinnati.”
Fortunately for Brady and the Patriots, they’ll face the Cincinnati Bengals this upcoming Sunday. An easy opponent and a chance to bounce back after a tough loss to the Chiefs.
While New England will be big favorites over the Bengals on Sunday, the team’s long term outlook isn’t as optimistic as years past. The Patriots’ performance against the Chiefs exposed several glaringly obvious weaknesses, specifically in the passing game.
If Brady wants to add another Super Bowl ring to his already impressive collection, New England needs to find answers on offense. But as things currently stand in the AFC, the Ravens and Chiefs remain the favorites to represent the conference in the Super Bowl.
Yet, with a duo like Brady and coach Bill Belichick, you can never count the Patriots out. It’ll be interesting to see how the team responds this upcoming Sunday.


| Package | Description |
|---|---|
| org.deeplearning4j.nn.adapters | |
| org.deeplearning4j.nn.layers.objdetect |
| Modifier and Type | Method and Description |
|---|---|
List<DetectedObject> |
YoloModelAdapter.apply(INDArray... outputs) |
List<DetectedObject> |
YoloModelAdapter.apply(Model model,
INDArray[] inputs,
INDArray[] masks,
INDArray[] labelsMasks) |
| Modifier and Type | Method and Description |
|---|---|
List<DetectedObject> |
Yolo2OutputLayer.getPredictedObjects(INDArray networkOutput,
double threshold) |
static List<DetectedObject> |
YoloUtils.getPredictedObjects(INDArray boundingBoxPriors,
INDArray networkOutput,
double confThreshold,
double nmsThreshold)
Given the network output and a detection threshold (in range 0 to 1) determine the objects detected by
the network.
|
| Modifier and Type | Method and Description |
|---|---|
static double |
YoloUtils.iou(DetectedObject o1,
DetectedObject o2)
Returns intersection over union (IOU) between o1 and o2.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
YoloUtils.nms(List<DetectedObject> objects,
double iouThreshold)
Performs non-maximum suppression (NMS) on objects, using their IOU with threshold to match pairs.
|
Copyright © 2020. All rights reserved.


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Student Number : C16448216
Student Name : Adam Noone
Course Code : DT228
Attribute Datatypes are used to determine what type of data an attribute will contain. The majority of my datatypes were varchar2(n).When it came to naming attributes such as game_name my convention was to allow the user to enter a name size of 30 characters (varchar2(30)).This gives the user plenty of room to enter both long and short names.However when it came to attributes that needed a large area of text such as a description or review my convention was to use Varchar2(300),for example description_of_product.This gives the user enough space to input their desired information. I also had to use Varchar2 on attributes such as the password for each reviewer because the password had to be 8 characters in length but can include numerical values.I used varchar(8) for the username of each reviwer because the username must be 8 characters in length but can include numerical values.
I had alot of attributes with the data type Number.All my number datatypes are either Integer(n) or Integer(n,m). I used Integer(n) when i was working with a single integer numbers eg 12431.Integer(n) is the data type for all off my id attributes such as product_id_PK and game_id_PK .Also my convention with all the id's in the database is that they are all 5 digit integer numbers so the datatype is Integer(5).I used Integer(n,m) when I was working with a decimal numbers such as in the attributes price_paid and selling_price. The n represents the number before tthe decimal point and the m represents the number after tthe decimal point.
I used the DATE datatype the represent any variables which needed to hold time or date ,such as date_orderd and date_recieved. Also i just want to metion my model layout ,I put the attibutes in the locations I did so that no relationship lines crossed eachother. This allows anyone who may be developing my database to clearly understand the relationships between entites and it also gives the model an appealing aesthetic.
Another important element of making any model is to carfully choose what attributes should be NOT NULL.Originally I thought I was just going to set every attribute to NOT NULL but I soon realised this is a bad idea,for example you dont need to know both Rep_phone_number and Rep_Email.Once you know one of the attributes you can contact the representative.So in this case I have set rep_phone_number NOT NULL.Therfore you have to know the representatives phone number but not his email address.Some attributes need to be able to contain a null value or you will have a problem when it comes to implementing the database. For example in the entity Order_Dates the attibute date_order is set as NOT NULL so an order date must be enterd but Order_recieved is set as null because you cant enter the date the order was recieved on,if the order has not arrived yet.
Primary Keys
As seen from my ERD most of my primary keys have an id element to them such as review_id_PK and supplier_id_PK.
the main reason I chose to use Integer(5) id numbers to as primary keys is beacause its a simple and effective way to recognise and get information from each entity.
Its also makes it very easy to build relationships between entities.For example in the entity Supplier the primary key is supplier_id_PK ,
this could be a number such as 13456.When Games Galore whats to access the information in the supplier entity (supplier_name,supplier_email,sulppier_Phone)
all they need to know is the supplier_id.
Foreign Keys
As most of my Primary Keys are id attributes that means that most of my foreign keys
are also going to be id attributes such as product_id_PK(FK) which is a foreign key in the entity Order.I have decided that product_id_PK(FK)
should be a primary foreign key so that Games Galore only need the product_id to make an order .
They dont need to use the name of the item being ordered.Attributes such as date_id_PK(FK) is NOT a primary foreign key but the Games Galore still have access
to the attibutes of the entity Order_dates.My entity Game_Review contains both primary foreign keys and normal foreign keys. I decided to have
game_id_PK as a primary foreign key in the entity Game_Review so that when a user looks at the game_id in the database they get a few reviews to give them
more information about the game.The review will also give information about the reviewer who has given to review ,this is done by listing username_PK
as a foreign key in Game_Review.
Alternate Keys
Throughout the creation of my ERD I had to make a decision on what was going to be the primary key for
each entity.My possible primary keys were known as my candidate keys.For example in the entity supplier the candidate keys were supplier_name
and supplier_id.Evntually I decided that my convention was going to be to make all my id attributes primary keys,so in the prvious
example supplier_id_PK became the primary key and supplier_name became an alternate key .
Alternate keys can also be categorised as unique attributes, meaning that the can't have the same value as any
other attribute (ie the data in an alternate key must be unique).I have chosen to make attributes such as rep_email alternate keys becuase
no two representatives email addresses should be the same.I also made game_name in the Game entity an alternate key because in my
database I dont want any two games to have the same name.
Logical modeling deals with gathering requirements and turning those requirements into a model and that is mainly what I focused on as we didnt have to build an actually database for this assingment,just the ERD. I started by creating a large entity such as Product.Intially the entities Product ,Product_Type ,Product_Description and Product_Pricing were all in one bigger entity called Product.I then proceeded to break this one big entity into 4 smaller entities so data would not be replicted this is called normalization (ie i wanted to reduce data redundency), I then linked all the new sub entities(Product_Type ,Product_Description and Product_Pricing ) back to Product using one to many relationships.One product type can belong to many products .One product description can belong to many products and one product pricing stategy can belong to many products.Linking entities using one to many relationships allowed the primary keys of my sub entities to be stored as foreign keys in my main entity (Product) allowing the user to access and change data freely and easily
Physical modeling involves the actual design of a database using requirements that were established during the logical modeling phase, it deals with the conversion of the logical, into a relational database model. The majority of my ERD is logical as I think its a smarter and easier way to reperesent my design.The main part of my ERD that is physical occurs between the entities Game,Console and Skill.A game can have many consoles and a console can have many games,therfore the relationship between Game and Console is many to many.A game can have many skills and skills can apply to many games so the relationship between Game and Skills is many to many.Now when switched to physical modelling mode it creates two new (WEAK) entities called Game_Console (contains game_id_PK and console_id_PK_) and Game_Skills (contains game_id_PK and Skills_id_PK).These new physical entities allow us to access the vital and most important pieces of data in Game,Console and Skills much quicker and easier. I have not incuded them in the logical model becuase in my logical i focused purely on gathering requirements and these two weak entities are not needed until the implementation stage of my database. I also have 2 more weak entities in my physicl model.One between representative and supplier(Representative_Supplier) and another between supllier and product (Supllier_Product).
Constraints are used to validate input.How did I decided what my constraints were going to be? I read the assingment description very carefully and and looked for any input that needed to be validated.For example Each order has a unique order_number (6 characters which must start with a letter followed by 5 digits). So i broke the order number up into order_id_char and order_id_int. In total I had 7 constraints as listed and explained below.


Web page for the CC3200 demo code.
Congratulations! You are now connected to the SimpleLink CC3200
There are several features on the LP that you can access right out of box using Wi-Fi:
Simply click on one of the demos below to see how SimpleLink CC3200 can be used in a real life application.


A router on a stick, also known as an 'one-armed router' is used to connect different VLANs to one another. Because different VLANs have different IP subnets they cannot use a layer-2 switch to talk to one another. Switches do not route IP traffic (which is layer-3), so a layer-3 device is needed for separate VLANs to communicate with one another. A simple example looks like this:
VLAN A and VLAN B want to talk to one another, but they cannot do so directly through just the switch. If a host on VLAN A wants to send something to VLAN B it will see that the destination IP address is not on the local network and will send the packet to the default gateway. When the packet reaches the switch, the switch will attempt to forward this on to the default gateway's MAC address. If a router is present, then the router can serve as the default gateway and send the packet on to VLAN B. If there were no layer-3 device, then the switch wouldn't know where to send the data. Different IP subnets cannot communicate without a layer-3 device (a router) present.
If the above is setup correctly, then a packet from VLAN A will go to the switch, the switch will send it on to the default gateway, which is the mac address of the router (remember, the switch is using layer-2 addressing to forward things). The router then looks in its layer-3 routing table to find the destination, which is in VLAN B. The router sees that to reach VLAN B it has to send the data back to the switch, which then forwards the data on to VLAN B. The router has the IP information of all the VLANs in the network.
To correctly configure a router on a stick, be sure that the interface which goes from the switch to the router is a trunk interface, and that the router has sub-interfaces on its port. One sub-interface per VLAN.


COMPLETED
{{else}}
FAIL
{{end}}
{{.Title}}
| Type | {{.JobType}} |
| Inventory | {{.Inventory}} |
| Application | {{.Application}} |
| Version | {{.Version}} |
| User | {{.User}} |
| Id | {{.JobID}} |
| Job start | {{.JobStart}} |
{{range $val := .JobLogs}}
{{$val.Message}}
{{end}}


Target date:
Estimation of features deliverable based on currents state of development and scope increase is:
As of:
Implementation Progress (Values in Story Points recorded in Jira)
|
|
|
Story Point View | ||||
|---|---|---|---|---|---|---|
| Team | Feature / Function | Estimated [SPs] |
Opened [SPs] |
In Progress [SPs] |
Closed [SPs] |
Done [%] |
| [Basic] Feature073 | 89 | 2 | 6 | 81 | 91% | |
| [Basic] Feature090 | 71 | n/a | 2 | 66 | 92% | |
| TeamFive | [Basic] Feature040 | 22 | 2 | 1 | 19 | 86% |
| TeamFive | [Basic] Feature048 | 7 | n/a | n/a | 7 | 100% |
| TeamFive | [Basic] Feature049 | 40 | 8 | n/a | 32 | 80% |
| TeamFive | [Basic] Feature052 | 59 | n/a | n/a | 59 | 100% |
| TeamFive | [Basic] Feature065 | 66 | 10 | 4 | 52 | 78% |
| TeamFive | [Basic] Feature074 | 4 | 0 | n/a | 4 | 100% |
| TeamFive | [Basic] Feature079 | 112 | 5 | n/a | 107 | 95% |
| TeamFive | [Basic] Feature092 | 26 | n/a | n/a | 26 | 100% |
| TeamFive | [Basic] Feature095 | 8 | 0 | n/a | 8 | 100% |
| TeamFive | [Basic] Feature101 | 13 | 10 | n/a | 3 | 23% |
| TeamFive | [Basic] Feature108 | 8 | 1 | 0 | 7 | 87% |
| TeamFive | [Basic] Feature112 | 3 | n/a | n/a | 3 | 100% |
| TeamFive | [Basic] Feature113 | 21 | 0 | 3 | 18 | 85% |
| TeamFour | [Basic] Feature030 | 8 | n/a | 8 | n/a | 0% |
| TeamOne | 184 | 0 | 5 | 179 | 97% | |
| TeamOne | [Basic] Feature045 | 32 | 3 | n/a | 29 | 90% |
| TeamOne | [Basic] Feature055 | 27 | 5 | n/a | 22 | 81% |
| TeamOne | [Basic] Feature063 | 692 | 98 | 34 | 557 | 80% |
| TeamOne | [Basic] Feature066 | 21 | 6 | 3 | 12 | 57% |
| TeamOne | [Basic] Feature068 | 151 | 0 | 4 | 147 | 97% |
| TeamOne | [Basic] Feature080 | 74 | 19 | 5 | 50 | 67% |
| TeamOne | [Basic] Feature089 | 79 | 19 | 3 | 57 | 72% |
| TeamOne | [Basic] Feature100 | 72 | 9 | n/a | 63 | 87% |
| TeamOne | [Basic] Feature104 | 103 | 3 | n/a | 100 | 97% |
| TeamOne | [Basic] Feature109 | 24 | 5 | 16 | 3 | 12% |
| TeamOne | [Basic] Feature111 | 65 | n/a | n/a | 65 | 100% |
| TeamTwo | [Basic] Feature041 | 267 | 48 | 13 | 206 | 77% |
| TeamTwo | [Basic] Feature042 | 29 | 3 | 3 | 23 | 79% |
| TeamTwo | [Basic] Feature051 | 14 | n/a | n/a | 14 | 100% |
| TeamTwo | [Basic] Feature054 | 1 | n/a | n/a | 1 | 100% |
| TeamTwo | [Basic] Feature069 | 1 | n/a | n/a | 1 | 100% |
| TeamTwo | [Basic] Feature075 | 92 | 18 | 3 | 71 | 77% |
| TeamTwo | [Basic] Feature078 | 17 | 1 | n/a | 14 | 82% |
| TeamTwo | [Basic] Feature091 | 20 | 16 | n/a | 4 | 20% |
| TeamTwo | [Basic] Feature093 | 0 | 0 | n/a | n/a | 0% |
| TeamTwo | [Basic] Feature096 | 2 | n/a | n/a | 2 | 100% |
| TeamTwo | [Basic] Feature097 | 4 | 0 | n/a | 2 | 50% |
| TeamTwo | [Basic] Feature099 | 19 | n/a | n/a | 19 | 100% |
| TeamTwo | [Basic] Feature105 | 2 | n/a | n/a | 2 | 100% |
| TeamTwo | [Basic] Feature106 | 60 | 54 | 3 | 3 | 5% |
| TeamTwo | [Basic] Feature110 | 51 | 13 | 9 | 29 | 56% |
| TeamTwo | [Basic] Feature117 | 0 | 0 | n/a | n/a | 0% |
Change requests list - changes which were not considered in the origin timeplan.
| Date of decision | Feature | Description | Estimation | JIRA ID |
|---|---|---|---|---|
|
|
|
|
|
|


@(bodyText: String)
As part of the connect team initiative, we developed a set of java code functionalities that we thought would be helpful for the Codifyd Team. The project is generic and can be shared between customers. These projects are STEP based and will help with processes like import, export etc.
Please contact Divya for further Information. She is the wonder woman here.


I am a Front End and UX Developer.
I enjoy working on projects and creatng web applications that are clean, appealing to the eye, functions well, useful to it's users and easy to navigate. I love using code and UX methodologies to find solutions to solve digital problems. I have a great passion for technology and have experience in coding HTML, CSS and JavaScript.
Highlights of my Tech background are:
BSc Computer Science
MSc Digital Service Design
Code First Girls Course
Code First Girls Assistant Instructor
Web Development Intensive course
UX Masterclass
Web
UX
Web
Test


--- title: A (brief) history of advertising in US Newspapers using computer vision keywords: fastai sidebar: home_sidebar summary: "Using computer vision to explore ads in the Newspaper Navigator dataset" description: "Using computer vision to explore ads in the Newspaper Navigator dataset" nb_path: "nbs/examples/ads/00_intro.ipynb" ---
Working with digitized historic materials at scale poses some challenges. This series of notebooks is intended to give a rough overview of some of the considerations involved. It is not intended to model best practice.
Each of these notebooks looks at a particular stage in a machine learning pipeline.
Minimal computing refers to
"computing done under some set of significant constraints of hardware, software, education, network capacity, power, or other factors. Minimal computing includes both the maintenance, refurbishing, and use of machines to do DH work out of necessity along with the use of new streamlined computing hardware like the Raspberry Pi or the Arduino micro controller to do DH work by choice." - Source https://go-dh.github.io/mincomp/about/
Deep learning has a reputation for being resource-heavy in multiple ways. In particular deep learning is associated with requiring lots of data and a large amount of compute resource. Although there is truth to this reputation, it is increasingly possible to use deep learning with smallish amounts of data and smallish amounts of compute. Since smallish is a little bit vague in these notebooks, the following constraints are observed:
Although these constraints aren't super minimal, they hopefully show that deep learning might be something that could be used in the absence of large grants or donations of cloud credits.
The question guiding these notebooks is the changes in visual content in advertising in newspapers over the period covered by the Newspaper Navigator data. In particular, we want to see how much advertising was 'visual' and how much was text only. We may then explore how the relative frequency of these types of advertising intersects with other information we can find in the Newspaper Navigator data.
Although we may want to use computer vision to answer humanities questions, we should still consider how these models work and where they might not work. This may not involve developing new computer vision model architectures as much as trying to find ways of evaluating existing models for biases on the data you will be working with.
The following notebook explores an example of this type of question by looking at whether classifiers trained on one decade will be effective at making predictions in a much later or earlier time period.
Once we are semi confident our model does fairly well across all data in our corpus, we move to inference (the process of creating predictions on new unseen data). This includes some discussion of some considerations we might want to make when we do this process on extensive collections with relatively limited computational resources.
The final notebook begins to look at possible approaches to working with the outputs of machine learning models.


Here is a list of all documented class members with links to the class documentation for each member:


Ellen DeGeneres to get Golden Globe lifetime award for TV work
LOS ANGELES (Reuters) - Comedian Ellen DeGeneres will get a lifetime achievement award at the Golden Globes next year recognizing her 25-year career on U.S. television, organizers said on Monday.
DeGeneres, 61, will be only the second recipient of the Carol Burnett Award which was first presented to Burnett herself at the Golden Globes award ceremony in January.
DeGeneres, one of the most prominent gay women celebrities, started her career in stand-up before moving to television. She is currently host of daytime talk show “The Ellen DeGeneres Show.”
“In addition to her television success, she’s an advocate and philanthropist, lending her voice to those who don’t have one, and spreading kindness and joy through the power of her platform,” said Lorenzo Soria, president of the Hollywood Foreign Press Association (HFPA) which hands out the Golden Globes.
DeGeneres is already a recipient of two of the highest honors in the United States - the Presidential Medal of Freedom and the Mark Twain Prize for American Humor.
In addition to her television work, DeGeneres lent her voice to the neurotic Pacific blue tang fish named Dory in the animated movies “Finding Nemo” and “Finding Dory.”
The Carol Burnett award was set up by the HFPA to recognize the new Golden Age of television in the United States, where more than 500 scripted shows a year are broadcast on traditional and streaming platforms.
The Golden Globes awards ceremony for film and television will take place in Beverly Hills on Jan. 5 2020.


The Java Standard Library has a class named Object
that is the parent of all standard and your classes by default. Any class extends this class implicitly, therefore it's a root of inheritance in Java programs.
The class belongs to the java.lang
package that is imported by default.
Let's create an instance of the Object
.
Object anObject = new Object();
The Object
class can refer an instance of any class because the instance is a kind of Object
as well (upcasting).
Long number = 1_000_000L;
Object obj1 = number; // an instance of Long can be cast to Object
String str = "str";
Object obj2 = str; // as well as an instance of String
When we declare a class, we can extend the Object
class in the explicit form.
Here is an example, do not repeat it:
class A extends Object { }
Object
class provides some common methods to all subclasses. It has nine instance methods (excluding overloaded methods) which can be divided into four groups:
Of course, this way to group methods does not pretend to be ideal, but it can help you to remember them.
Some of the listed methods are native that means they are implemented in "native" code. It's typically written in C or C++. Native methods are usually used to interface with system calls or libraries written in other programming languages.


Introduction
-
Pull Request Summary
-
Fork repo to your own repo
-
clone, set remote
git remote add <remote_name> <URL>
-
Generate branch
git checkout -b <feature/issue_number>
-
Add, Commit, Push
git push <remote_name> <branch_name>
-
Pull Request
-
Code Review
-
Merge
-
Squash and Merge : squash multiple commits into a new commit
-
Rebase and Merge : multiple commits will be merged
-
-
Fetch upstream
-
Fetch upstream in local master branch
-
remove branch
<feature/issue_number>
-
-
1. Setup Git Environment
# (1) create new git
$ git init # in the working dir, generates .git directory
$ git clone <URL> # cloning repo registers remote named origin automatically
$ git clone --recursive <URL> # recursive clone including submodule
$ git clone -b <BRANCH> <URL> # without <BRANCH>, clone master branch
# (2) Add remote git
$ git remote # show remotes for current project
$ git remote add <remote_name> <URL>
# (3) git user check
$ git config --list
$ git config --global --list
# (4) Add user
$ git config user.name "Your Name" # only for this project
$ git config user.email<EMAIL_ADDRESS>$ git config --global user.name "Your Name" # for global usage
$ git config --global user.email<EMAIL_ADDRESS>2.  Branch
-
The commited changes in BRANCH_A do not affect in BRANCH_B
-
Branch Naming Convention
-
feature
: is for adding, refactoring or removing a feature -
bugfix
: is for fixing a bug -
hotfix
: is for changing code with a temporary solution and/or without following the usual process (usually because of an emergency) -
test
: is for experimenting outside of an issue/ticket
-
# (0) Show all branches
$ git branch
# (1) create new local branch
$ git branch <BRANCH>
$ git checkout -b <BRANCH> # Create new branch and change to it
# (2) change to the new branch
$ git checkout <BRANCH>
# (3) Delete branch
$ git branch -d <BRANCH> # (3.1) Delete local branch
$ git push origin --delete <BRANCH> # (3.2) Delete remote branch
# (4) Stash
$ git stash
$ git stash list
$ git stash pop
$ git stash apply # apply recent stash
$ git stash drop # remove recent stash
4. Pull, Merge, Rebase
-
git pull
: fetch + mergegit pull --rebase <REMOTE> <BRANCH>
-
git merge
: performs a 3-way merge between the two latest branch snapshots (C3
andC4
) and the most recent common ancestor of the two (C2
), creating a new snapshot (and commit). -
git rebase
: take the patch of the change that was introduced inC4
and reapply it on top ofC3
-
Referenes
5. gitignore File
# ignore every 'file.ext' in project
file.ext
# You cannot write annotation in define ignore-rule line (like below)
file.ext # not a comment
# ends with / will ignore directory only
bin/
# the line below will ignore both file named bin and directory named bin
bin
# You can use Glob pattern. e.g the line below will ignore build/ and Build
[bB]uild/
# You can ignore files with certain extension
*.apk
# exception from ignore list with !
!.gitignore
[Reference] https://rogerdudler.github.io/git-guide/index.ko.html)


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fcn_fitFreeT2w is the objective function for T2 mono- and free exponential fitting that is minimized with 'lsqnonlin' Syntax: fcn_fitFreeT2(x,iparam) Inputs: x - parameter vector x(2*i-1) = E (amplitude) x(2*i) = T (relaxation time) iparam - struct that holds additional settings: t : time vector s : signal vector e : noise vector / error weights (optional) Outputs: F - residual J - Jacobian (optional) Example: [F,J] = fcn_fitFreeT2(x,params) Other m-files required: getFitFreeJacobian Subfunctions: none MAT-files required: none See also: Author: see AUTHORS.md email: see AUTHORS.md License: MIT License (at end)
0001 function [F,J] = fcn_fitFreeT2w(x,iparam) 0002 %fcn_fitFreeT2w is the objective function for T2 mono- and free exponential 0003 %fitting that is minimized with 'lsqnonlin' 0004 % 0005 % Syntax: 0006 % fcn_fitFreeT2(x,iparam) 0007 % 0008 % Inputs: 0009 % x - parameter vector 0010 % x(2*i-1) = E (amplitude) 0011 % x(2*i) = T (relaxation time) 0012 % iparam - struct that holds additional settings: 0013 % t : time vector 0014 % s : signal vector 0015 % e : noise vector / error weights (optional) 0016 % 0017 % Outputs: 0018 % F - residual 0019 % J - Jacobian (optional) 0020 % 0021 % Example: 0022 % [F,J] = fcn_fitFreeT2(x,params) 0023 % 0024 % Other m-files required: 0025 % getFitFreeJacobian 0026 % 0027 % Subfunctions: 0028 % none 0029 % 0030 % MAT-files required: 0031 % none 0032 % 0033 % See also: 0034 % Author: see AUTHORS.md 0035 % email: see AUTHORS.md 0036 % License: MIT License (at end) 0037 0038 %------------- BEGIN CODE -------------- 0039 t = iparam.t; 0040 s = iparam.s; 0041 0042 SI = 0; 0043 for i = 1:length(x)/2 0044 tmp = x(2*i-1)*exp(-t./x(2*i)); 0045 SI = SI + tmp; 0046 end 0047 0048 % get error weights if available 0049 if isfield(iparam,'e') 0050 e = iparam.e; 0051 else 0052 e = ones(size(s)); 0053 end 0054 0055 % scale the residual 0056 F = e .* (SI - s); 0057 0058 J = 0; 0059 if nargout > 1 0060 J = e .* getFitFreeJacobian(x,t,'T2',1); 0061 end 0062 0063 return 0064 0065 %------------- END OF CODE -------------- 0066 0067 %% License: 0068 % MIT License 0069 % 0070 % Copyright (c) 2018 Thomas Hiller 0071 % 0072 % Permission is hereby granted, free of charge, to any person obtaining a copy 0073 % of this software and associated documentation files (the "Software"), to deal 0074 % in the Software without restriction, including without limitation the rights 0075 % to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 0076 % copies of the Software, and to permit persons to whom the Software is 0077 % furnished to do so, subject to the following conditions: 0078 % 0079 % The above copyright notice and this permission notice shall be included in all 0080 % copies or substantial portions of the Software. 0081 % 0082 % THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 0083 % IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 0084 % FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 0085 % AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 0086 % LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 0087 % OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 0088 % SOFTWARE.


Click on the nearby restaurant button to find a restaurant from the selected cuisine near you.
Start making a selection from the cuisine category above, and click on the Search button.
You can also select either Vegetarian or Gluten free or both.
Videos created by independant 3rd parties, rights belonging to the videos' creators


We know what dev teams need and the best way to get there.
Convox understands the Platform, Infrastructure, Container Orchestration, and Cloud Services landscape as well as anyone.
We've solved the configuration, do-it-yourself, and complexity problems of other solutions so you don't have to.


count: true ### Motivation: *Internet of Things* problem A *lot* of IoT devices want to access to a single base station. - Insert them in a possibly **crowded wireless network**. - With a protocol **slotted in both time and frequency**. - Each device has a **low duty cycle** (a few messages per day). #### Goal - Maintain a **good Quality of Service**. - **Without** centralized supervision! #### How? - Use **learning algorithms**: devices will learn on which frequency they should talk! --- ### Outline and references 1. Introduction and motivation 2. Model and hypotheses 3. Baseline algorithms : to compare against naive and efficient centralized approaches 4. Two Multi-Armed Bandit algorithms : UCB, TS 5. Experimental results 6. An easier model with theoretical results 7. Perspectives and future works Main references are my recent articles (on HAL): - [*Multi-Armed Bandit Learning in IoT Networks and non-stationary settings*, Bonnefoi et al. CrownCom 2017](https://hal.inria.fr/hal-01575419), - [*Multi-Player Bandits Models Revisited*, Besson, Kaufmann. arXiv:1711.02317](https://hal.inria.fr/hal-01629733), --- ### First model - Discrete time t >= 1 and K radio channels (*e.g.*, 10) (*known*)
- D **dynamic** devices try to access the network *independently* - S=S1+...+S_K **static** devices occupy the network : Si in each channel (*unknown*) --- ### Hypotheses (1/2) #### Emission model - Each device has the same *low* emission probability: each step, each device sends a packet with probability p. (this gives a duty cycle proportional to 1/p) #### Background traffic bothering the dynamic devices - Each static device uses only one channel. - Their repartition is fixed in time. --- ### Hypotheses (2/2) #### Dynamic radio reconfiguration - Each **dynamic device decides the channel it uses to send every packet**. - It has memory and computational capacity to implement simple **decision algorithm**. #### Problem - *Goal* : *maximize packet loss ratio* (= number of received `Ack`) in a *finite-space discrete-time Decision Making Problem*. - *Solution ?* **Multi-Armed Bandit algorithms**, **decentralized** and used **independently** by each device. --- ### A naive strategy : uniformly random access - **Uniformly random access**: dynamic devices choose uniformly their channel in the pull of K channels. - Natural strategy, dead simple to implement. - Simple analysis, in term of **successful transmission probability** (for every message from dynamic devices) : P(success|sent) = sum_{i=1...K} (1 - p/K)^(D-1) × (1-p)^Si × (1/K) #### No learning - Works fine only if all channels are similarly occupied, but **it cannot learn** to exploit the best (more free) channels. --- ### Optimal centralized strategy - If an oracle can decide to affect $D_i$ dynamic devices to channel i, the **successful transmission probability** is: P(success|sent) = sum_{i=1...K} (1 - p)^(Di - 1) × (1 - p)^Si × Di/D. - The oracle has to solve this **optimization problem**: + argmax_{D1,...,DK} sum_i^K Di (1-p)^(Si + Di - 1), + such that sum_i^K Di = D, + and Di >= 0 for all 1 <= i <= K. - We solved this quasi-convex optimization problem with *Lagrange multipliers*, only numerically. - → Very good performance, maximizing the transmission rate of all the D dynamic devices #### But unrealistic But **not achievable in practice**: no centralized control and no oracle! #### Now let see *realistic decentralized approaches* - → Machine Learning ? - → Reinforcement Learning ? - → *Multi-Armed Bandit* ! #### Greedy approximation - Still very efficient - More reasonable - But still unachievable: this is a *baseline* --- ### Multi-Armed Bandit formulation A dynamic device tries to collect *rewards* when transmitting : - it transmits following a Bernoulli process (probability p of transmitting at each time step t), - chooses a channel A(tau) in {1,...,K}, + if `Ack` (no collision) → reward r(A(tau)) = 1, + if collision (no `Ack`) → reward r(A(tau)) = 0. #### Reinforcement Learning interpretation Maximize transmission rate = **maximize cumulated rewards** max on algorithm A of sum_{tau=1}^{horizon} r(A(tau)). --- ### Upper Confidence Bound algorithm (UCB1) Dynamic device keep tau number of sent packets, Tk(tau) selections of channel k, Xk(tau) successful transmission in channel k. 1. For the first K steps (tau=1,...,K), try each channel *once*. 2. Then for the next steps t > K : - Compute the index gk(tau) := Xk(tau)/Nk(tau) + sqrt(\log(tau) / (2 Nk(tau)), - Choose channel A(tau) = argmax gk(tau)$, - Update Tk(tau+1) and Xk(tau+1). > References: [Lai & Robbins, 1985], [Auer et al, 2002], [Bubeck & Cesa-Bianchi, 2012]. --- ### Thompson Sampling : Bayesian approach A dynamic device assumes a stochastic hypothesis on the background traffic, modeled as Bernoulli distributions. - Rewards rk(tau) are assumed to be *i.i.d.* samples from a Bernoulli distribution Bern(mu_k). - A **binomial Bayesian posterior** is kept on the mean availability mu_k : Bin(1 + Xk(tau), 1 + Nk(tau) - Xk(tau)). - Starts with a *uniform prior* : Bin(1, 1) ~ U([0,1]). 1. Each step tau >= 1, draw a sample from each posterior ik(tau) ~ Bin(ak(tau), bk(tau)), 2. Choose channel A(tau) = argmax ik(tau)$, 3. Update the posterior after receiving `Ack` or if collision. > References: [Thompson, 1933], [Kaufmann et al, 2012]. --- ### Experimental setting #### Simulation parameters - K = 10 channels, - S + D = 10000 devices **in total**. Proportion of dynamic devices D/(S+D) varies, - p = 10^-3 probability of emission, for all devices, - Horizon = 10^6 time slots, (about 100 messages by device) - Various settings for (S1,...,SK) static devices repartition. #### What do we show (for static Si) - After a short learning time, MAB algorithms are almost as efficient as the oracle solution ! - Never worse than the naive solution. - Thompson sampling is more efficient than UCB. - Stationary alg. outperform adversarial ones (UCB >> Exp3). --- ### 10% of dynamic devices
--- ### 30% of dynamic devices
--- ### Dependence on D/(S+D)
--- ### Section 6 A brief presentation of a different approach... Theoretical results for an easier model --- ### An easier model #### Easy case - M <= K dynamic devices **always communicating** (p=1). - Still interesting: many mathematical and experimental results! #### Two variants - *With sensing*: Device first senses for presence of Primary Users (background traffic), then use `Ack` to detect collisions. Model the "classical" Opportunistic Spectrum Access problem. Not exactly suited for IoT networks like LoRa or SigFox, can model ZigBee, and can be analyzed mathematically... (*cf* Wassim's and Navik's theses, 2012, 2017) - *Without sensing*: like our IoT model but smaller scale. Still very hard to analyze mathematically. --- ### Notations for this second model #### Notations - K channels, modeled as Bernoulli (0/1) distributions of mean mu_k, is a background traffic from *Primary Users*, - M devices use channel Aj(t) in {1,...,K} at each time step, - Reward: rj(t) := Y(Aj(t),t) 1(Cj(t)) = 1(uplink & `Ack`) + with sensing information Y(k,t) ~ Bern(mu_k), + collision for device j, Cj(t) = 1(*alone on arm Aj(t)*). #### Goal : *decentralized* reinforcement learning optimization! - Each player wants to **maximize its cumulated reward**, - With no central control, and no exchange of information, - Only possible if : each player converges to one of the M best arms, orthogonally (without collisions) --- ### Centralized regret #### New measure of success - Not the network throughput or collision probability, - Now we study the **centralized regret** R_T(mu, M, rho) := sum_{k=1}^{M} mu_k^* T - Expectancy_mu [sum_{t=1}^T sum_{j=1}^M rj(t) ]. #### Two directions of analysis - Clearly R_T = O(T), but we want a sub-linear regret - *What is the best possible performance of a decentralized algorithm in this setting?* → **Lower Bound** on regret for **any** algorithm ! - *Is this algorithm efficient in this setting?* → **Upper Bound** on regret for **one** algorithm ! --- ### Asymptotic Lower Bound on regret (1/2) For any algorithm, decentralized or not, we have R_T(mu, M, rho) = sum_{k in Mworst} (mu_M^* - mu_k) E_mu[Tk(T)] + sum_{k in Mbest} (mu_k - mu_M^*) E_mu[T-Tk(T)] + sum_{k=1}^{K} mu_k E_mu[C_k(T)]. #### Small regret can be attained if... 1. Devices can quickly identify the bad arms M-worst, and not play them too much (*number of sub-optimal selections*), 2. Devices can quickly identify the best arms, and most surely play them (*number of optimal non-selections*), 3. Devices can use orthogonal channels (*number of collisions*). --- ### Asymptotic Lower Bound on regret (2/2) #### Lower-bounds - The first term E_mu[Tk(T)], for sub-optimal arms selections, is lower-bounded, using technical information theory tools (Kullback-Leibler divergence, entropy), - And we lower-bound collisions by... 0 : hard to do better! #### Theorem 1 [Besson & Kaufmann, 2017]. - For any uniformly efficient decentralized policy, and any non-degenerated problem mu, - lim inf R_T(mu, M, rho) / log(T) >= M sum_{k in Mworst} (mu_M^* - mu_k) / kl(mu_k, mu_M^*). > Where kl(x,y) := x log(x/y) + (1 - x) log((1-x)/(1-y))$ is the binary Kullback-Leibler divergence. --- ### Illustration of the Lower Bound on regret
--- ### Algorithms for this easier model #### Building blocks : separate the two aspects 1. **MAB policy** to learn the best arms (use sensing Y(Aj(t),t), 2. **Orthogonalization scheme** to avoid collisions (use Cj(t)). #### Many different proposals for *decentralized* learning policies - Recent: MEGA and MusicalChair, [Avner & Mannor, 2015], [Shamir et al, 2016] - State-of-the-art: **RhoRand policy** and variants, [Anandkumar et al, 2011] - **Our proposals**: [Besson & Kaufmann, 2017] + With sensing: **RandTopM** and **MCTopM** are sort of mixes between RhoRand and MusicalChair, using UCB indexes or more efficient index policy (KL-UCB), + Without sensing: Selfish use a UCB index directly on the reward rj(t): like the first IoT model ! --- ### Illustration of different algorithms
--- ### Regret upper-bound for \MCTopM-KL-UCB #### Theorem 2 [Besson & Kaufmann, 2017]. If all M players use MCTopM with KL-UCB, then for any non-degenerated problem mu, there exists a problem dependent constant G(M,mu), such that the regret satisfies: R_T(mu, M, rho) <= G(M,mu) \log(T) + o(log T). #### Remarks - Hard to prove, we had to carefully design the MCTopM algorithm to conclude the proof, - For the suboptimal selections, we *match our lower-bound* ! - We also *minimize the number of channel switching*: interesting as it costs energy, - Not yet possible to know what is the best possible control of collisions... --- ### In this model The Selfish decentralized approach = device don't use sensing, just learn on the receive acknowledgement, - Like our first IoT model, - It works fine in practice! - Except... when it fails drastically! - In small problems with M and K = 2 or 3, we found small probability of failures (*i.e.*, linear regret), and this prevents from having a generic upper-bound on regret for Selfish. Sadly... --- ### Illustration of failing cases for Selfish
--- ### Perspectives #### Theoretical results - MAB algorithms have guarantees for *i.i.d. settings*, - But here the collisions cancel the *i.i.d.* hypothesis, - Not easy to obtain guarantees in this mixed setting (*i.i.d.* emissions process, "game theoretic" collisions). - For OSA devices (always emitting), we obtained strong theoretical results, - But harder for IoT devices with low duty-cycle... #### Real-world experimental validation ? - Radio experiments will help to validate this. Hard ! --- ### Other directions of future work - *More realistic emission model*: maybe driven by number of packets in a whole day, instead of emission probability. - Validate this on a *larger experimental scale*. - Extend the theoretical analysis to the large-scale IoT model, first with sensing (*e.g.*, models ZigBee networks), then without sensing (*e.g.*, LoRaWAN networks). - And also conclude the Multi-Player OSA analysis (remove hypothesis that objects know M, allow arrival/departure of objects, non-stationarity of background traffic etc) --- ### Conclusion (1/2) #### We showed - Simple Multi-Armed Bandit algorithms, used in a Selfish approach by IoT devices in a crowded network, help to quickly learn the best possible repartition of dynamic devices in a fully decentralized and automatic way, - For devices with sensing, smarter algorithms can be designed, and analyze carefully. - Empirically, even if the collisions break the *i.i.d* hypothesis, stationary MAB algorithms (UCB, TS, KL-UCB) outperform more generic algorithms (adversarial, like Exp3). --- ### Conclusion (2/2) #### But more work is still needed... - **Theoretical guarantees** are still missing for the IoT model, and can be improved (slightly) for the OSA model. - Maybe study **other emission models**. - Implement this on **real-world radio devices** (*TestBed*). #### **Thanks!** *Any question?*


IT is a html
full
tag
It is a parra
this is another one
this is 1
this is 2
this is 3
this is 4
NOTES


{% extends "layout.html" %} {% block page_title %} Savings {% endblock %} {% block content %} {% include "../includes/phase_banner_alpha.html" %} Savings How much money do you have saved? Savings can include bank accounts, investments and ISAs. No savings Less than £5,500 Between £5,501 and £15,999 Over £16,000 Have you had more than £5,500 savings in the last 6 months? Yes No How much do you have saved? £ Are your savings from any of the following? A lump sum personal injury payment you've got in the last year How much is from a personal injury payment? £ A lump sum from a backdated benefit How much is from a backdated benefit? £ Insurance for repairs or possessions How much is from insurance for repairs or possessions? £ Money from the sale of a home How much is from the sale of a home? £ Money you're saving for repairs to your home How much is for repairs to your home? £ World War II compensation payment How much is from a compensation payment? £ Far Eastern Prisoner of War compensation payment How much is from a Far Eastern Prisoner of War compensation payment? £ Money from a trust fund How much is from a trust fund? £ No Do you own any property in the UK or abroad apart from where you live? Yes No Do you have any shares? Yes No Shares 1 Name of shares How many Shares 2 Name of shares How many Shares 3 Name of shares How many Add more shares {% include "../includes/help.html" %} {% endblock %} {% block body_end %} {% include "includes/scripts.html" %} {% endblock %}
Savings can include bank accounts, investments and ISAs.
Add more shares


Erangel
The first game map consist in an island of 8x8km.
Did you know?
The map is named after Player Unknown's daughter.
Miramar
The second game map is a desert with 8x8km.
Sahnok
The third game map is an island with 4x4km.
The first game map consist in an island of 8x8km.
Did you know?
The map is named after Player Unknown's daughter.
The second game map is a desert with 8x8km.
The third game map is an island with 4x4km.


| Top |
GObject ╰── GInitiallyUnowned ╰── GtkWidget ╰── GtkContainer ╰── GtkBox ╰── GtkColorChooserWidget
GtkColorChooserWidget implements AtkImplementorIface, GtkBuildable, GtkOrientable and GtkColorChooser.
The GtkColorChooserWidget widget lets the user select a color. By default, the chooser presents a predefined palette of colors, plus a small number of settable custom colors. It is also possible to select a different color with the single-color editor. To enter the single-color editing mode, use the context menu of any color of the palette, or use the '+' button to add a new custom color.
The chooser automatically remembers the last selection, as well as custom colors.
To change the initially selected color, use gtk_color_chooser_set_rgba()
.
To get the selected color use gtk_color_chooser_get_rgba()
.
The GtkColorChooserWidget is used in the GtkColorChooserDialog to provide a dialog for selecting colors.
GtkWidget *
gtk_color_chooser_widget_new (void
);
Creates a new GtkColorChooserWidget.
Since: 3.4


Integrating WordPress with Your Website
Many of us work in an endless stream of tasks, browser tasks, social media, emails, meetings, rushing from one thing to another, never pausing and never ending. Then the day is over, and we are exhausted, and we often have very little to show for it. And we start the next day, ready for a mindless stream of tasks and distractions.
I am a fan of going against the stream of what most people do, and taking a step back. Is it really worth it? Is this the best way? Are we losing our lives to busy-ness and distraction?
What if we did less instead? Of course, I’ve been suggesting doing less for six years here on Zen Habits, but it’s a topic worth revisiting, because it is so necessary. Today I offer a short guide to doing less, for those willing to give it a try.
- Take a breath. Take a moment to pause in your busy day, and breathe.
- Now consider your day. What have you done already today? What is on the horizon for the rest of the day? Is there anything you can let go of? Can you create spaces between your tasks? Can you cull your tasks, getting rid of the non-essential, just leaving the best?
- Learn to know the essential. It takes time to figure out what tasks give you the most impact on your life, your career, your ability to help others and change the world. But start learning today — pick what you think is most essential, clear some space, and just work on those things. Savor them.
- Reduce distractions. Consider going on a digital cleanse — take a day or a week off of social media, news, entertainment/gossip sites, the places you usually spend on distractions. What will you do when you feel like some distraction? Meditate, exercise, create.
Breathe. Enjoy the new space. Savor the beauty of doing less.
John Doe - Reply
Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi.
Nam liber tempor cum soluta nobis eleifend option congue nihil imperdiet doming id quod mazim placerat facer possim assum. Typi non habent claritatem insitam; est usus legentis in iis qui facit eorum claritatem.
saqib sarwar - Reply
Nam liber tempor cum soluta nobis eleifend option congue nihil imperdiet doming id quod mazim placerat facer possim assum. Typi non habent claritatem insitam; est usus legentis in iis qui facit eorum claritatem. Investigationes demonstraverunt lectores legere me lius quod ii legunt saepius. Claritas est etiam processus dynamicus, qui sequitur mutationem consuetudium lectorum. Mirum est notare quam littera gothica, quam nunc putamus parum claram, anteposuerit litterarum formas humanitatis per seacula quarta decima et quinta decima. Eodem modo typi, qui nunc nobis videntur parum clari, fiant sollemnes in futurum.
John Doe -
Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat.
Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. Nam liber tempor cum soluta nobis eleifend option congue nihil imperdiet doming id quod mazim placerat facer possim assum.


left
A skateboard is a type of spquipment used primarily for
the activity of skateboarding.It usually consists of a specially
designed maplewood board combined with a polyurethane coating used
for making smoother slides and stronger durability.
A skateboard is a type of sports equipment used primarily for
the activity of skateboarding. It usually consists of a specially
designed maplewood board combined with a polyurethane coating used
for making smoother slides and stronger durability.
A skateboard is propelled by pushing with one foot while the other
remains on the board, or by pumping one's legs in structures such
as a bowl or half pipe. A skateboard can also be used by simply
standing on the deck while on a downward slope and allowing gravity
to propel the board and rider. If the rider positions their right
foot forward, he/she is said to ride "goofy;" if the rider positions
their left foot forward, he/she is said to ride "regular." If the
rider is normally regular but chooses to ride goofy, he/she is
said to be riding in "switch," and vice versa. A skater is typically
more comfortable pushing with their back foot; choosing to push with
the front foot is commonly referred to as riding "mongo".
Recently, electric skateboards have also appeared. These
no longer require the propelling of the skateboard by means
of the feet; rather an electric motor propels the board, fed
by an electric battery.
There is no governing body that declares any
regulations on what constitutes a skateboard or the
parts from which it is assembled. Historically, the skateboard
has conformed both to contemporary trends and to the ever-evolving
array of stunts performed by riders/users, who require a certain
functionality from the board. Of course, the board shape depends
largely upon its desired function. Longboards are a type of skateboard
with a longer wheelbase and larger, softer wheels.
The two main types of skateboards are the longboard and the
shortboard. The shape of the board is also important: the
skateboard must be concave to perform tricks.[1] Longboards
are faster and mostly used for cruising and racing and
shortboards are mostly used for tricks.
A bicycle, often called a bike or cycle, is a human-powered, pedal-driven,
single-track vehicle, having two wheels attached to a frame, one behind
the other. A bicycle rider is called a cyclist, or bicyclist.
A bicycle, often called a bike or cycle, is a human-powered, pedal-driven,
single-track vehicle, having two wheels attached to a frame, one behind
the other. A bicycle rider is called a cyclist, or bicyclist.
Bicycles were introduced in the 19th century in Europe and, as of
2003, more than a billion have been produced worldwide, twice as many as
the number of automobiles that have been produced.[2] They are the principal
means of transportation in many regions. They also provide a popular form
of recreation, and have been adapted for use as children's toys, general
fitness, military and police applications, courier services, and bicycle racing.
The basic shape and configuration of a typical upright, or safety bicycle,
has changed little since the first chain-driven model was developed around
1885.[3][4][5] But many details have been improved, especially since the advent
of modern materials and computer-aided design. These have allowed for a
proliferation of specialized designs for many types of cycling.
The bicycle's invention has had an enormous effect on society, both in
terms of culture and of advancing modern industrial methods. Several components
that eventually played a key role in the development of the automobile were
initially invented for use in the bicycle, including ball bearings, pneumatic
tires, chain-driven sprockets, and tension-spoked wheels.[6]
right


PLUGIN: plugins/geo.searchtools.js
The Tile5 search tools plugin is an extraction of some of the core search
functionality that was originally implemented in the core Tile5 library. Basically
the goal is to create a suite of tools that assist with the rationalization of
multiple search results across a number of disparate stores and help aggregate
those into a single meaningful set of results.
Depending on the capabilities of the current browser the search tools module is
capable of taking forward geocoding requests, reverse geocoding requests, direction
requests and 'Current Location' requests and attempting to provide results based
on the geo engines that are currently available in the Tile5 application.
The search method represents the guts of the SearchTools module. The args parameter accepts either a simple string or an object literal which is then passed onto suitable search agents.


--- layout: page title: About header-img: "img/about-bg.png" ---
I am a student at the Flatiron School returning to learning how to code. I have an associates degree in System Administration and Cloud technology but returned to coding to face the new/old challenge.


How-to create a new Sc2gears release
- In
Consts.java
review/change:
APPLICATION_VERSION
APPLICATION_RELEASE_DATE_ST
APPLICATION_LANGUAGE_VERSION
- If new files were added to Sc2gears (for example new translations or new jars or new plugins), they have to be listed explicitly in
Updater.java
.
Also if new jars were added/removed, they have to be explicitly listed in the create-release.cmd
for jar indexing (besides adding them to the classpath and rebuilding the .exe).
- In
Sc2gears.java
review/implement optional post-update tasks.
- In
PluginManager.java
review/implement plugin compatibility condition.
- Edit
start_page_XXX.html
files to add news and changes.
- Create the new release-archives:
- Change compiler settings: disable "Add variable attributes to generated class files" and recompile.
- Run
create-release.cmd
- Pack the new release to
W:\
- Backup
"Sc2gears Plugin API/example"
(for optimized and smaller code for examples)
- Change compiler settings back: enable "Add variable attributes to generated class files" and recompile.
- Run
create-release.cmd
again
- Restore
"Sc2gears Plugin API/example"
(with optimized and smaller code for examples)
- Append/include Plugin API version to
"Sc2gears Plugin API"
and "Sc2gears-plugin-api.jar"
- Pack the new Plugin API release to
W:\
- Run
src-util\...\CalcChecksum.java
- Upload the new release archive to MediaFire.com and Dropbox.com.
- If a new Plugin API is released, copy that to the
/war/hosted/
folder. In the Plugin API javadoc provider servlet change the zip file param name in the /war/WEB-INF/web.xml
descriptor.
- Update the URLs in the
DownloadServlet
class.
- In
latest_version.xml
review/change:
latestVersion
archiveSha256
archiveUrl
s
- language file versions
- Update the Sc2gears home page:
- Create a new post in the Version history page
- Download page:
- Edit download URLs
- Edit download size
- Edit release date
- Edit SHA-256 checksum
- Make the new release official:
- Deploy
sc2gearsdb
to Google app engine
- Upload the new release-archive and
latest_version.xml
to Google docs.
- Optionally update the Features pages and upload new screenshots.
- Update and post on Teamliquid.net main Sc2gears thread.
© András Belicza, 2010-2014


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Naming.20question.html ---
@Simon Hudon do you have any suggestions?
Not yet. I'm still trying to see what it is
i asked earlier and was told just proving the central limit theorem was a massive 6000 line development in isabelle
https://www3.nd.edu/~andyp/notes/CategoricalFree.pdf
@Simon Hudon it's a brand new way of constructing free groups
Can you call it free_group
then?
it isn't the free group
now suppose I want to formalize the statement of the curse of dimensionality, i.e. if you have a bunch of variables in R^n that are iid, most points in the sphere are located near the surface. that would be months of work, hah
and it would probably take me twice as long since I'm not named Mario :)
@Kenny Lau The boring answer might be free_group_aux
. But a nicer name might express what it does for free_group
Last updated: Apr 24 2020 at 19:02 UTC


 Why didn’t someone tell me about this eons ago. My commandline just got sweet:
port install bash-completion
Can’t remember a command flag? Bash will prompt with all the available options. Tired of typing a hostnames for every SSH login? Bash will complete it for you. And on, and on… Heaven.
And it only gets better after you set CDPATH to a few of your favorite directories. I may never have to type a full path again.
Can we get this for browsers, please? Their whole-line autocomplete is so primitive by comparison.


Select Size:
Small Medium Large
Select Top
Pepperoni Mushroom Cheese
Select Crust
Cripsy Stuff Flatbread
Select Address
None CBD Yaya Muthaiga Westalands Ngong


Record Stuff
Audio source
None
Microphone
Video source
None
Camera
Screen capture
Start recording
Stop recording
Output goes here


Congratulations if you are seeing this page from an Octopus instance.
Chances are that you are running this from a mobile device, if so you got a plus.
Now is time to build something great!
P.S. Octopus is part of the LuaMobile project,
so why not have some fun building a cross-platform mobile app?


My rewards
Astra Zeneca Policy, Coupons are a great way to save even more when shopping with us, and it is easy to use them at our stores. When accepting coupons, we follow the guidelines below to ensure all guests have the opportunity to purchase products at great prices.
Current points
History rewards:


What channel is West Ham vs Tottenham on? TV and live stream information
Jose Mourinho takes charge of Tottenham for the first time against West Ham United on Saturday with both teams desperately needing a London derby win
by Gareth BicknellJose Mourinho leads his Tottenham side into battle for the first time against West Ham United on Saturday, in a mouthwatering London derby between two sides who desperately need to reverse their form.
Tottenham head to the London Stadium today hoping for the boost a new manager normally brings, after Mourinho took over the reins from Mauricio Pochettino, who was sacked on Tuesday.
Last season's Champions League finalists are floundering in 14th place in the Premier League, and they go in search of their first win in six league games against a West Ham side two places below them and in even worse form.
After Pochettino's sacking, Hammers boss Manuel Pellegrini is one of the favourites to be the next Premier League manager for the chop.
His side have suffered four defeats in their last five matches - and the Argentine boss desperately needs to spoil Mourinho's welcome party.
When is the match?
West Ham vs Tottenham is the Saturday lunchtime game, with a 12.30 kick-off UK time.
Where is the match being played?
The game is being played at London Stadium, where West Ham have lost three and won just two of their six home league games so far this season.
What TV channel is the game on?
West Ham vs Tottenham will be shown on BT Sport 1 and BT Sport Ultimate, with coverage starting at noon UK time.
Can you live stream the match?
BT Sport subscribers can live stream the match via BT Sport's video player and the BT Sport app.
Betting odds
West Ham 10/3
Tottenham 3/4
Draw 3/1
Odds courtesy of thepools.com


---
layout: post
title: Where did the time go
date: '2008-09-29T02:30:00-07:00'
tags:
- oh god another list
- Confessions
- opinion
tumblr_url: http://supplethink.tumblr.com/post/51170957395/where-did-the-time-go
---
What are some of your favorite time-sink games? Do you have a save file in Chrono Trigger where everyone is level 99? Have you collected all the dress spheres in FFX-2? Have you played so much SkiFree that you have mastered avoiding that damned Yeti?


A GUI for the orloca package is provided as a Rcmdr plug-in. The package deals with planar location problems.
| Version: | 4.7 |
| Depends: | orloca (≥ 4.6), orloca.es (≥ 4.6) |
| Imports: | Rcmdr |
| Suggests: | knitr |
| Published: | 2018-11-05 |
| Author: | Manuel Munoz-Marquez |
| Maintainer: | Manuel Munoz-Marquez <manuel.munoz at uca.es> |
| License: | GPL (≥ 3) |
| URL: | http://knuth.uca.es/orloca |
| NeedsCompilation: | no |
| Language: | en, es |
| Materials: | ChangeLog |
| CRAN checks: | RcmdrPlugin.orloca results |
| Reference manual: | RcmdrPlugin.orloca.pdf |
| Vignettes: |
Localización plana con R-Commander: RcmdrPlugin.orloca Planar location on R-Commander: RcmdrPlugin.orloca |
| Package source: | RcmdrPlugin.orloca_4.7.tar.gz |
| Windows binaries: | r-devel: RcmdrPlugin.orloca_4.7.zip, r-release: RcmdrPlugin.orloca_4.7.zip, r-oldrel: RcmdrPlugin.orloca_4.7.zip |
| OS X binaries: | r-release: RcmdrPlugin.orloca_4.7.tgz, r-oldrel: RcmdrPlugin.orloca_4.7.tgz |
| Old sources: | RcmdrPlugin.orloca archive |
Please use the canonical form https://CRAN.R-project.org/package=RcmdrPlugin.orloca to link to this page.


Toggle navigation
Campgrounds
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Home
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Post detail
[[${post.title}]]
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|
^
1
|
Details —
A single action in detail. |
Going something (past tense gone)
This is the action which allows people to move from one room to another, using whatever map connections and doors are to hand. The Standard Rules are written so that the noun can be either a direction or a door in the location of the actor: while the player's commands only lead to going actions with directions as nouns, going actions can also happen as a result of entering actions, and then the noun can indeed be a door.
Typed commands leading to this action
"go/walk/run"
"go/walk/run [direction]"
Named values belonging to this action
room gone from - room
room gone to - object
door gone through - object
vehicle gone by - object
thing gone with - object
Rules controlling this action
set action variables for going standard set going variables rule name unlist
instead of going to the hall from Porch
instead of going to Living Room
check an actor going when the actor is on a supporter (called the chaise) stand up before going rule name unlist 1
check an actor going can't travel in what's not a vehicle rule name unlist 2
check an actor going can't go through undescribed doors rule name unlist 1
check an actor going can't go through closed doors rule name unlist 1
check an actor going determine map connection rule name unlist
check an actor going can't go that way rule name unlist 2
carry out an actor going move player and vehicle rule name unlist
carry out an actor going move floating objects rule name unlist
carry out an actor going check light in new location rule name unlist
report an actor going describe room gone into rule name unlist 19


139 Massachusetts Avenue Visitor Lot 158 Mass. Ave. Lot 65 Waverly St. Lot 7 Cambridge Center Garage Albany St. Garage Amherst St. (E51) Lot East Lot East Lot Eastgate Resident Lot Ford Lot Hayward Lot Annex Hayward St. Lot Hermann Garage Kendall Square Lot Kresge Lot Landsdowne St. Garage Main Lot Marriott Parking Garage N10 Annex Lot N10 Lot Northeast Lot Pacific St. Annex Lot Plasma Fusion Center Lot Stata Parking Garage Tech Square Garage University Park Public Parking W91 Lots W92 Garage West Annex Lot West Garage West Lot Westgate Lot Westgate Lowrise Lots Windsor St. Lot WW15 Lot
Campus Map Help
0: MIT Mobile Web Home 1: Campus Map Home
Campus map provided by Department of Facilities and Information Services & Technology


The history of the internet.
by Andrew Drumm and William Herman
About
Team
Invention of the internet
Browser Wars
Internet Search
Dot Com Bubble
People
History Timeline


INSTRUCTOR | DATE
Vicky's ORCID: 0000-0003-4298-168X
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Git is a revision control system, a program to manage your source code history. It is strictly a command-line tool.
GitHub is a website where you can upload a copy of your Git repository. It allows people to collaborate via Git along with some other features.
Email me<EMAIL_ADDRESS>Learn more about RDM: guides.nyu.edu/data_management
Get this presentation: guides.nyu.edu/data_management/resources
Make an appointment: guides.nyu.edu/appointment
Vicky's ORCID: 0000-0003-4298-168X
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Join us for the best pizza deals!
Dine In - Take Out
The classic Italian pizza.
Made with flour such as Caputo, topped with
San Marzano
tomato sauce and baked in
a high temperature wood-fired
oven.
Small....600KSH
Medium....1200KSH
Large....1800KSH
Thin, typically made with high gluten flour.
Baked at 450-550F.
The Jersey style is
"upside down".
Cheese first, then
sauce.
Small....500KSH
Medium....1000KSH
Large....1500KSH
Similar to Deep dish, but a top layer
of dough is placed on the pizza,
hence the
term
"stuffed".
Small....700KSH
Medium....1400KSH
Large....2100KSH
A Chicago style pizza made a in a deep dish pan.
The crust gets it's flavor mostly
from fat,
usually oil or lard, as opposed to
fermentation.
Small....800KSH
Medium....1600KSH
Large....2400KSH
Do you want your pizza to be delivered?


Welcome
We provide handmade custom artisan keycaps for mechanical keyboards, unique creations that you can’t find mass produced.
These individualized custom designs are uniquely artistic as well as desirable to the eye. They not only serve as a novelty design on your keyboard, but functionally as well.
What we do
Customer Focus
We cater our designs to match the demands of those in the gaming and streaming community, one of the most popular items to customize are keyboards.
Trusted Brand
The execution of our brand is something we hold high on our priorities, our brand is seen for its unique services and ability to provide custom and quality craftsmanship.
Quality Design
Our keycaps are created with the highest quality thermoplastics, combined with our artist grade resin material used to hand paint our designs.
- Illidan the Betrayer
- This Novelty Illidan inspired resin hand-painted keycap from World of Warcraft is the product you didn't think you need, but once you have it, something you won't want to live without.
Betrayer... In truth, it was I who was betrayed. Still, I am hunted. Still, I am hated. Now, my blind eyes see what others cannot: that sometimes the hand of fate must be forced! Now go forth... unleash the tides of Doom... Upon all those...who would oppose us.
- Illidan Stormrage - Frostmourne Runeblade
- Hand crafted accursed runeblade, Frostmourne keycap is a perfect addition to your other gaming related keys. Will you take up the blade and bend it's powers to your will, or let Frostmourne's whispers into your soul?
Whomsoever takes up this blade shall wield power eternal. Just as the blade rends flesh, so must power scar the spirit. - Mystic Dragon
- The fierce dragon stands tall in front of their treasure, all hollow and holy after fighting their exquistite battle to protect the gems. Now on the keyboard, it's a sacred relief telling the story of epic fight and the greatest mythical creature of all. From resin and colours somes the artisan keycap that will raise the standard of your keyboard.
- Gengar - Pokemon
- Pokémon fans couldn’t possibly ask for better keyboard accessories than this Pokémon keycap. About the only thing better would be, of course, real Pokémon. The little guys are encased in something that has the feel of an old Gameboy and then cast in resin for durability. The careful design of the cap means that it should fit in on just about any keyboard you attach it to.
Why we are different
We make sure to create our keycaps out of the highest quality thermoplastics, and combined with our artist grade resin material used to hand paint our designs, we can guarantee our customers of both quality in hardware and design. This is something that mass produced products often lack, and this factor increases our value proposition in the marketplace overall.


Oscar Miranda
Mobile App Development and Business Minded Individual!
Currently
In a 12-week long immersion Dev- Bootcamp due to graduate in September of 2016.
After graduating from my Masters I’ve taken up an interest in mobile technologies
IOT and artificial intelligence. I would like to use my Finance skills and combine
them with computer programming skills in order to become a more valuable employee.
Education
September-2016
SoftStack Factory - BootCamp 12-week long immersion Dev-bootcamp
December-2015
Alliant International University Masters in Technology Management
August-2013
San Diego State University Bachelors in Business Emphasis in Finance
Technical skills
- HTML, CSS & Sass
- Javascript
- AngularJs
- MongoDB
- Express
- Node.Js
- Mean Stack
- Microsoft Word
- Microsoft Excel
- Microsoft Access
- Microsoft Powerpoint
- Microsoft Project
- SAP
- Tableau
- Google Analytics
Projects
My very first Ionic Change Calculator
CV
I created this web page to show off my CV.
Achievements
Coming Soon - Stay Tuned !
Experience
Jun14-Aug15
At&t
• Developed and trained 15 new technicians to become a top 10 team in California.
• Generated over $10,000 in monthly revenue, creating new customers leads and maintaining old.
• Manage multiple building cabling projects simultaneously.
• Managed the workflow, communication & direction across multiple AT&T departments.
• Developed strategic sales plans to surpass monthly sales goals by $5,000 (100% above our goal).
• Participated in team-based planning processes.
• Led progress meetings with staff & team members to improve efficiency.
• Managed budgets and inventory.
o Hold technicians accountable for not achieving productivity results and not being properly stocked everyday.
Jun13-Dec13
Aldi
• Monitored and managed thousands in controllable store expenses.
• Managed a team of over 20 staff.
• Implemented and controlled store procedures.
• Organized staff training and development.
• Established, managed and reviewed the store grading systems to ensure optimum stock levels.
• Oversaw stock control and receiving orders.
• Analyzed sales figures and forecasted future sales volumes to maximize profits.
Jun12-Jun13
Miranda Satellite
• Formulated policies and implemented procedures for growth initiatives.
• Grew new office 150% over a 12-month period, successfully generating above $100K in revenue.
• Managed budgeting process, profit and loss records for performing business and financial analysis and cost reports.
• Perform billing, payment allocation, collection and activity reporting following established protocols, to tight deadlines.
• Utilized strategic planning methodologies and goal setting to project financial and operations plans to work at the highest efficiency level.
• Responsible for demonstrating company products to existing and potential customers, attending marketing conferences, exhibitions, and seminars.
• Maintained schedules for meetings with multiple business owners.
Feb12-May12
Arkan & Ergin
• Performed customer segment research on Nano Tech companies and Investment patterns.
• Developed understanding of customer markets and segments.
• Created PowerPoint presentations for executives.
• Crafted a Nano tech seed fund and thousands in new business leads.
• Worked with one their client and a financial analyst, on the clients expense tracking, financial statement analysis and on creating a forecasting model, based on historical data.
Hobbies
- Excercising
- Swimming
- Travel
- Learning new stuff - Languages
- Play with new tech toys!


The contents on this site are for informational and entertainment purposes only and does not constitute financial, accounting, or legal advice.


Before Change
except Exception as e:
pass
makedirs(dest_folder)
copyfile(join(source_folder, "train.txt"), join(dest_folder, "train.txt"))
copyfile(join(source_folder, "test.txt"), join(dest_folder, "test.txt"))
def revise_corpus(corpus_name):
After Change
except Exception:
pass
makedirs(dest_folder)
files = ["train.txt", "test.txt"]
for file in files:
revise_vlsp2013_wtk_dataset(join(source_folder, file), join(dest_folder, file))
def revise_corpus(corpus_name):
if corpus_name not in SUPPORTED_CORPUS:
print(f"Corpus {corpus_name} is not supported")
sys.exit(1)


The *bug command acts as a sort of safety net for your code under specific conditions, and allows you to display a custom error message should a player manage to reach a part of the code they shouldn't.
*if (bullets_in_gun < 3) You have less than half a magazine left! Be careful! *if (bullets_in_gun < 7) You have a full magazine. Mow 'em down! *bug Oops, something went wrong! Please report this as a bug.In the above example, if for some reason the variable "bullets_in_gun" exceeds 7 the game would have continued with whatever code followed this section, but likely would have ended up in a game stopping error later, leaving you clueless as to the cause. With the *bug command in place, your chosen message will be thrown in error instead, immediately alerting you, your testers or your players to the inconsistency.
Looking for a little more detail? Try the wiki page