Flyflow is a travel application for making getting to the airport, and getting to your gate a more pleasant experience. A 12-week capstone project involving a full user centered design process of research, design, and design evaluation. Methods included an online survey, participatory design session, storyboarding, wireframing, usability testing, and creating high fidelity prototypes. My role on the project was to lead the research efforts as well as direct and edit the products video prototype. Additionally, I wireframed the security and transportation user flows.
The user experience throughout a day of travel is often taxed with uncertainty, stress, unexpected changes, and frustration.
How can we empower infrequent travelers with timely and relevant information that reduces the mental math, stress, and anxiety that is associated with their day of travel?
In order to pinpoint times and activities that cause the most stress during traveling we sent out an online survey to better scope the project. We also wanted to determine if participants wanted proactive or reactive notification systems. The primary goal of the survey was to recruit participants for the participatory design session we had planned to kickoff our design process with.
The challenge of designing a better user experience for infrequent travelers first required us to define what an infrequent traveler was.
Infrequent travelers aren’t 100% comfortable with traveling.
These were some of the main pain points from our research findings:
Uncertainty: “One of the biggest unknowns in travel takes place before you get to the airport” - survey participant.
Being late: “I always worry about being late. [...] I always check how long it takes to get there over and over since I’m anxious.” - survey participant.
Lack of Control: “An unfamiliar airport makes everything less comfortable” - survey participant.
Security: Going through security was an overall low point that generates feelings of annoyance, anxiety, and relief.
With these in mind, we conducted a participatory design session to validate these pain points and explore solutions. We asked participants to list out day of travel activities on sticky notes. Then we asked them to categorize them and sketch solutions to the problems presented. Lastly, we ranked the participants sketches and discussed problems surrounding travel. We came up with these three basic needs from the design session.
Needs:
The entire system
After conducting a survey, participatory design session, and a sitemap, we began sketching interfaces and solutions to the problems travelers faced. We were able to create a mostly grey scale flow for booking transporation to the airport, choosing a security line, and searching and filtering for locations around the airport. The system defaults to directing travelers towards their flight's gate. It works by automatically because it knows which flight you are on.
Before we jumped into hi-fidelity mockups we wanted to make sure our designs were what travelers actually wanted or needed. The team was fortunate enough to have the opportunity to go to Seattle-Tacoma airport and conduct 8 quick guerilla usability studies. I moderated four of these. The tasks we asked participants to complete with our wireframes were: find transportation to the airport, choose a security line, navigate through the airport, and search for specific locations.
Participants were waiting at their gates for their flights to board when we asked them to test our wireframes. From doing this we were able to understand how users would use our app in-context. The largest takeaway was that participants preferred using the map instead of searching or filters. Our map had to be more robust in-order for participants to find value in it.
All this testing lead us to create a refined prototype know as “Flyflow”. The app still allows users to schedule rides to the airport, displays information about security wait times, and helps travelers keep track of their time at the airport. By not focusing on search or filter functionality, we are able to focus on the maps functionality. Before finalizing these screens we did 4 usability tests with infrequent travelers. They gave us a variety of feedback that we decided to iterate on:
| Problem | Solution | |
|---|---|---|
| 1 | Uncertainty if security wait times were the most up to date | Add a refresh button to empower travelers to trust that the times are as up to date as possible |
| 2 | Participants skipped over the alerts icon | Add it to the top navbar along with the other app wide controls |
| 3 | Lack of visual consistency in viewing the itinerary | Move the itinerary to a bottom pull up rather than a pull down |
| 4 | Confusion on the travelers icon displayed on the map | Use a more animated icon with colors that match Flyflow's design language |
Rapid evaluation was helpful in informing designs and meaningful features can come from listening to user feedback. Sometimes it can be difficult balancing designer intuition and listening to user feedback. Often times users aren’t sure what they actually want until the experience is presented to them. This was especially found in the navigation aspect of the Flyflow. During the participatory design, travelers were psyched about navigation and wayfinding within an airport app but when we conducted later usability studies, participants were unsure if the wayfinding features would be useful since airports should be physically easy to navigate. Furthermore, this revealed a flaw in our recruiting and map design. We prototyped Sea-tac airport but all of the participants we tested were familiar with Sea-tac airport. We are unsure how this would have impacted participants if the map was of a airport they had never been to before.
This could have been avoided if we had a more strict participant criteria or if we had a specific airport as a client. We could have been more aware of participant biases and circumstances. Every person has a different experience and outlook on traveling.
Participants gave us insightful feedback that an airport app that had the functionality of preparedness, time management, and navigation, might be most useful in large and confusing airports, international airports, or during long layovers.
Overall, this entire process was both exciting and grueling at times. Designing for travelers is personally very fascinating and I look forward to seeing how airline companies will improve the user experience of traveling in the future.
Invision Prototype Research, Design, Video Production Sketch, Invision, Participatory Design, Usability testing


To summarize, bar graphs are generally used to display a single set of data or to show a correspondence between two data sets. They are one of the most versatile and flexible forms of data visualization, and can be used in a variety of contexts. Unless there is a good reason to choose another type of graph, a bar graph is usually the best way to take a first look at a set of data.
in-context


Reservations
A list of all reservations, filterable by user name, email, reservation number, date, trailhead, etc...
Table of all reservations, active, canceled, and expired.
A list of all reservations, filterable by user name, email, reservation number, date, trailhead, etc...
Table of all reservations, active, canceled, and expired.


__CHURCH__ needs your help at the following event: __EVENT__
The following volunteer opportunities are still open: __ROLES__. You can help them out by clicking on the link below and accepting the volunteer opportunty.
__LINK__
Thank you!


---
title: Peer Reviews from the Fraser Lab
layout: default
group: reviews
---
Peer Review
Peer review of scientific manuscripts is essential for what is, currently, by far the most widely
accepted means of communication of scientific results: publishing papers in scientific journals. The
process of peer review plays an important role in refining the body of work prior to final publication.
We believe that transparency in peer review can improve the speed, quality, and collegiality of the publication
process. Peer review is also an important training opportunity for lab members in scientific thinking and writing. As such, we only review manuscripts that have been posted on preprint servers and we post our peer review
comments publicly. Additional resources can be found in our
Lab Compact
and in the Peer Review minicourse. We support other initiatives to improve peer review (such as Review Commons and FeedbackASAP).
{% assign sorted = site.reviews | sort: "date" | reverse %}
{% for review in sorted %}
{{ review.title | markdownify | remove: '
' | remove: '
' | strip }}.
{{ review.authors | markdownify | remove: '
' | remove: '
' | strip}}.
Reviewed by:
{{ review.reviewers | markdownify | remove: '' | remove: '
' | strip }}.
{% if review.abstract %}
{{ review.abstract | markdownify | remove: '
' | remove: '
' }}
{% endif %}
{% if review.image %}
{% endif %}
{% if review.published %}
Post-Review
Access the paper
{% for record in review.published %}
{% if record.pmid %}
- PMID: {{record.pmid}}
{% endif %}
{% if record.pdf %}
- Full Text
{% endif %}
{% endfor %}
{% if review.highlight %}
Highlight
{% for record in review.highlight %}
{% if record.title %}
- {{record.title | markdownify | remove: '
' | remove: '
' | strip }}.
{% endif %}
{% if record.authors %}
{{record.authors | markdownify | remove: '' | remove: '
' | strip }}.
{% endif %}
{% if record.journal %}
{{record.journal}}.
{% endif %}
{% if review.date %}
{{review.date | split: "-" | first }}.
{% endif %}
{% if record.zenodo %}
- Zenodo Record: {{record.zenodo}}
{% endif %}
{% if record.pdf %}
- Full Text
{% endif %}
{% endfor %}
{% endif %}
{% endif %}
{% endfor %}


Nova currently supports two themes out of the box: light and dark. By default, apps using Nova are styled with the light theme.
To configure your app to use the dark theme, you can add the dark-nova-theme
class to
the app's root html
element. But, you don't have to do it manually. Nova provides a
service that can be used to toggle the root html
element class on demand. To enable the
dark theme, inject the
ThemeSwitchService
into a component and invoke its
setDarkTheme
method with a value of true
. To disable the dark theme invoke
setDarkTheme
with a value of false
.
Additionally, the service can be used to configure your app to respond to the user's light/dark mode
system preference. To configure your app to do this, invoke the service's
enableColorSchemePreferenceHandling
method. If the user has configured their operating system to use the system-wide dark theme, your app
will automatically be displayed with the dark theme. To disable system preference handling, invoke the
disableColorSchemePreferenceHandling
method.
The following example configures the service to respond to the user's light/dark system preference. To try it out, follow these links on how to change the setting for Windows 10 and MacOS.
Additionally, the example invokes
setDarkTheme
with true
or false
each time the switch is toggled.
isDarkModeEnabledSubject
-
The example above uses this BehaviorSubject
in its template to determine whether
dark mode is enabled.
withRefreshRoute
-
Set this boolean to true if you want the route to refresh each time the theme changes. This can come in handy
if you have elements on the page whose styles can't be changed on the fly for some reason.
To have the colors in your app participate in theming, ensure that the values of your color-oriented
properties such as background
or border
take the form of CSS variables by
invoking the CSS
var
function with the desired color property name and an optional fallback value. This will
convert the CSS color properties defined by Nova to CSS variables whose values will update to
correspond to the active theme.
It's possible to create a custom theme by doing the following:
Renderer2
to add
the custom class to the element you want to apply the colors to.
The following example applies a totally unusable clownish party theme to the root html
element when the switch is turned on. To see how the alternate color variables and properties are
defined, take a look at the less file in the source expander.


Louis Vuitton Buys Jeweller Tiffany&Co For $16.2 Billion
The Tiffany acquisition is Louis Vuitton's biggest deal. The two companies are expected to finalise the takeover in the middle of next year.
The world's top luxury goods company, Louis Vuitton Moët Hennessy (LVMH), has agreed to buy US-based jeweller Tiffany&Co for $16.2 billion.
"The acquisition of Tiffany will strengthen LVMH's position in jewellery and further increase its presence in the United States," LVMH and Tiffany said in a joint statement.
Under the deal, each Tiffany share is valued at $135 in cash and is higher than the initial offer of $120 per one share - which valued the business at $14.5bn. The companies said that the deal is expected to be closed in mid-2020.
LVMH is run by France's richest man, Bernard Arnault, and has 75 brands, 156,000 employees and a network of more than 4,590 stores. Other brands include Christian Dior, Kenzo, Dom Pérignon, Tag Heuer, and Moet & Chandon.
Tiffany&Co was founded in New York in 1837 and is best known for its signature robin's-egg blue packaging. The Louis Vuitton brand is famous for its handbags.


Upload a CSV file to get started. Some things to note:
Your file should have one, and exactly one, header row.
You will need the following columns: sample size, indicator number, and item name.
Column order and naming doesn't matter, and you can have other columns too.
Currently, your data must be about event frequency, not people or rates, due to the way we calculate standard error.
Now specify which columns to use in for the x-axis and y-axis of your graph.
Upload some CSV data to create your graph.
This tool is in alpha! If your chart doesn't render as you expected, please first check that you're using the right columns. If it still doesn't work, please email me with a copy of your data - anna [at] darkgreener.com.
Find a data point
Mouseover data items to see details, or select an entry from the dropdown below.
99.8% control limits
95% control limits
Mean
Indicator
Population
Beware! This tool is in alpha and has not been verified by a professional statistician - we recommend you use the charts it generates for demo purposes only. If a chart fails to render as you expect, please check you have selected the right columns, then contact me with a copy of your data - anna [at] darkgreener.com.
Upload some CSV data to create your graph.
If you'd like to embed this graph in your own blog or website, then you can copy and paste the following code.


public class ObjectSpace
extends java.lang.Object
registered
with an ID.
The remote end of connections that have been added
are allowed to
access
registered objects.
It costs at least 2 bytes more to use remote method invocation than just sending the parameters. If the method has a return
value which is not ignored
, an extra byte is written. If the type of a parameter is
not final (note primitives are final) then an extra byte is written for that parameter.
| Modifier and Type | Class and Description |
|---|---|
static class |
ObjectSpace.InvokeMethod
Internal message to invoke methods remotely.
|
static class |
ObjectSpace.InvokeMethodResult
Internal message to return the result of a remotely invoked method.
|
| Constructor and Description |
|---|
ObjectSpace()
Creates an ObjectSpace with no connections.
|
ObjectSpace(Connection connection)
Creates an ObjectSpace with the specified connection.
|
| Modifier and Type | Method and Description |
|---|---|
void |
addConnection(Connection connection)
Allows the remote end of the specified connection to access objects registered in this ObjectSpace.
|
void |
close()
Causes this ObjectSpace to stop listening to the connections for method invocation messages.
|
static RemoteObject |
getRemoteObject(Connection connection,
int objectID,
java.lang.Class... ifaces)
Returns a proxy object that implements the specified interfaces.
|
static <T> T |
getRemoteObject(Connection connection,
int objectID,
java.lang.Class<T> iface)
Identical to
getRemoteObject(Connection, int, Class...) except returns the object cast to the specified interface
type. |
void |
register(int objectID,
java.lang.Object object)
Registers an object to allow the remote end of the ObjectSpace's connections to access it using the specified ID.
|
static void |
registerClasses(Kryo kryo)
Registers the classes needed to use ObjectSpaces.
|
void |
remove(int objectID)
Removes an object.
|
void |
remove(java.lang.Object object)
Removes an object.
|
void |
removeConnection(Connection connection)
Removes the specified connection, it will no longer be able to access objects registered in this ObjectSpace.
|
void |
setExecutor(java.util.concurrent.Executor executor)
Sets the executor used to invoke methods when an invocation is received from a remote endpoint.
|
public ObjectSpace()
added
to allow the remote
end of the connections to access objects in this ObjectSpace.public ObjectSpace(Connection connection)
added
.public void setExecutor(java.util.concurrent.Executor executor)
executor
- May be null.public void register(int objectID, java.lang.Object object)
If a connection is added to multiple ObjectSpaces, the same object ID should not be registered in more than one of those ObjectSpaces.
public void remove(int objectID)
public void remove(java.lang.Object object)
public void close()
public void addConnection(Connection connection)
public void removeConnection(Connection connection)
public static <T> T getRemoteObject(Connection connection, int objectID, java.lang.Class<T> iface)
getRemoteObject(Connection, int, Class...)
except returns the object cast to the specified interface
type. The returned object still implements RemoteObject
.public static RemoteObject getRemoteObject(Connection connection, int objectID, java.lang.Class... ifaces)
added
the connection to the ObjectSpace, the remote method invocations
will be ignored.
Methods that return a value will throw TimeoutException
if the response is not received with the
response timeout
.
If non-blocking
is false (the default), then methods that return a value must
not be called from the update thread for the connection. An exception will be thrown if this occurs. Methods with a void
return value can be called on the update thread.
If a proxy returned from this method is part of an object graph sent over the network, the object graph on the receiving side will have the proxy object replaced with the registered object.
RemoteObject
public static void registerClasses(Kryo kryo)
Kryo.register(Class, Serializer)


--- layout: post title: "Redis and Relational Data" date: 2012-06-04 comments: true ---
UPDATE: Based on the feedback in the comments (Phineas), I've added an index to the comments table and updated the results.
Using the right tool for the job is a basic tenant amongst programmers. However, with all the currently available database options it's increasingly difficult to figure out what the right tool is. Sometime it's nice to have a very simple tool that can be used for many different tasks: Redis. Over the last 4 months I've been using Redis heavily and I've even started to use it for relational data. I've been curious to find out the performance differences between Redis and PostgreSQL. Below I'll provide an example of storing a simple relational dataset in Redis, and I'll look at the performance differences between Redis and PostgreSQL.
I find Redis appealing because it's the simplest database that I have ever used (relative to: MySQL, PostgreSQL, Riak & Mongo). The documentation includes the time complexity of each command, and the documentation provides an interactive console to experiment with a given command. There's also a certain appeal to using a single database instead of 2 or 3:
I'll outline a few ways Redis can be used to store relational data and the performance differences between redis and PostgreSQL. All the examples and performance tests were done using Node.js.
Redis values can be 1 of 5 different datatypes: strings, hashes, lists, sets and sorted sets. Each row in a relational database can be represented using a hash, and a list, set or sorted set can be used to represent a table. The datatype that's used to represent the table is dependent on how the data needs to be retrieved.
For example, let's say we're storing blog posts. In Redis, each post will be stored in its own hash, with its key corresponding to the post's url:
```javascript A Post 'a-post-about-databases' : { title : 'A post about databases', body : '...', createdAt :<PHONE_NUMBER>301} ```Retrieving a single post using the url becomes O(N), where N is the size of the hash (post). Since the number of keys in a post is constant, retrieving that post becomes O(1). However, if we wanted to get all the posts, or a subset of them, it becomes useful to also store the keys in a sorted set (e.g. the "table"). Using a sorted set means that posts can be stored by their createdAt date and it allows us to retrieve all the posts, or a subset of them (useful for pagination).
```javascript Retrieving a subset of all posts redis.zrange('posts', 0, 10, function(error, posts){ //return the keys (urls) associated with the first 11 posts }) var startDate = (new Date(2012, 5, 1)).getTime() ; // June 1st var endDate = (new Date(2012, 5, 30)).getTime(); // June 30th redis.zrangebyscore('posts', startDate, endDate, function(err, posts){ //returns the keys (urls) associated with all the posts from June 2012 }) ```The above example is relatively straight forward, but what about storing the post's comments? For every post we create a new sorted set called: 'comments-KEYofPOST'. The comments are sorted by their creation time. To get a post, and its comments, we could do the following:
```javascript Storing a post's comments var postURL = 'a-post-about-databases' var multi = redis.multi(); // queue up the queries multi.hgetall(postURL); multi.zrange('comments-' + postURL, 0, -1); // execute the queries atomically multi.exec( function(error, results){ /* results[0] will contain the post results[1] will contain an array with all the comments */ }); ```In SQL you might do 1 query to get the post and another to get the comments, or use a join to get the post and the comments in one query. With the approach above, using Redis, 2 queries are atomically executed, using the multi and exec commands. Both in PostgreSQL, and Redis, a single request is sent the database to retrieve 1 post and its 10 comments.
To test the the performance I created a dataset that includes 10,000 'blog posts', with each post having 10 comments (100,000 comments in total). All tests were run on a 2011 Macbook Pro (2.3 GHz i7, 8GB RAM). To test PostgreSQL, I sequentially fetched each post and used a join to retrieve its comments (10,000 separate queries). The test was repeated six times to produce an average time and was done for both PostgreSQL and Redis.
| Average Time (Seconds) | Query (Milliseconds) | |
|---|---|---|
| psql | 138.34 | 13.8 |
| psql (Native Bindings - NB) | 125.95 | 12.6 |
| psql (NB + Index) | 2.72 | 0.27 |
| Redis (Hires) | 0.76 | 0.067 |
Using PostgreSQL, it took an average of 138.34 seconds to execute all 10,000 queries, or 13.8 milliseconds/query. Using the native bindings, that come with the psql node module, yielded an improvement and was associated with 12.6 milliseconds/query. When an index was added to comments (post_id), the time dropped to 2.72 seconds, or 0.27 milliseconds for a post and its 10 comments. In contrast, Redis can retrieve a post and its comments in 0.067 milliseconds. Of course the above is akin to comparing apples to oranges, but it still provides a glimpse into the performance differences between Redis and PostgreSQL.
While Redis is in memory and should be fast, PostgreSQL uses caching algorithms (LRU) to keep its contents in memory. Of course, keeping everything in memory (Redis) will most likely be faster than using LRU.
The single biggest caveat to using Redis, is that it is entirely in memory. If your relational dataset is 2.5GB (not that large), you'll need a $160/month Linode (4GB RAM) to keep it in Redis. In contrast, a $20/month Linode (512MB RAM) has 20GB of disk space and could easily hold that same dataset using PostgreSQL. This tradeoff becomes even more of an issue as your dataset become larger than 4GB.
The above example only represents a very simple relationship between two pieces of data (posts and comments), mapping a many-to-many relationship in Redis would take a little more imagination.
Before storing all your app's data in Redis it's advisable to estimate how large your dataset will be in a year, or two, and how much much RAM will be required to use Redis. If your dataset will be greater than 4GB in a year, and money is a constraint, it probably makes sense to put all, or a portion of the data, in PostgreSQL, or use an alternative noSQL solution (e.g. Riak or Mongo).


Test Supplement
Form:
Result:
var model = { htmlLabel: "
Questions
", name: "questions", has: [ { name: "the_charity", label: "The Charity", type: "object", has: [ { name:"charity", type:"radio", description: "In an alley, ahomeless girl asks for a coin. Do you give one?", values: { "no":"No", "yes":"Yes, reluctantly, as you feel someone is watching you" }, validate: function(value){ if(value == "no"){ throw "A week later someone found the girl dies horribly, lonely and starving, rotting at the side of the street." } } }, ], supplements:[ { pushAfter: "charity", condition: "value.charity == 'yes'", model: { type: "text", name: "last_words", description: "Someone stabbed you in the back, grabbed your pouch and ran with the girl. What's your last word?" } } ] }, { name:"clan_preference", type:"checkbox", description: "Who are you?", values:{ "battleborn": "Battleborn", "graymane": "Graymane" } } ], supplements: function(value, map){ if(value && value.clan_preference && value.clan_preference.length == 0){ map.pushAfter('clan_preference',{ name: "choose_a_side_sometimes", description: "Sooner or later, we all have to choose a side.", type: "checkbox", required: true, values: { "yes": "Yes" } }) } } }


1. What do you want to do?
Describe your evidence-Based Intervention/Program/Service Being Implemented (WHAT)
Project start date:
{{ form.start_date }}
Project end date:
{{ form.end_date }}
2. Target Audience (WHO)
a) Specify target audience disciplines:
b) Specify roles:
c) Specify audience relationship to one another (Select all that apply):
Multiple individuals across organizations:
Multiple individuals within an organization:
Multiple individuals or teams across organizations:
3. Implementation Strategy (HOW) {% if disabled %}{% else %}
Determine which of the following best describe the implementation strategies used in your project. They may be discrete, or multicomponent, or both. Then fill in the table below with your selections.
Evaluative and iterative strategies (e.g., Assess for readiness; Identify barriers and facilitators; Audit and feedback)
Interactive assistance (e.g., Facilitation; Technical assistance; Coaching; Clinical Supervision; Mentoring)
Adapting and tailoring strategies (e.g., Based on barriers or facilitators; Stage of readiness; Characteristics of the Intervention; Baseline performance)
Develop stakeholder relationships (e.g., Identify and prepare champions; Inform local opinion leaders; Build coalitions)
Train/educate stakeholders (e.g., Conduct ongoing training; Develop educational materials; Learning Collaborative; Practice Improvement Collaborative)
Support deliverers of the intervention/program/service (e.g. Reminders; Resource sharing agreements; Role revision)
Engage consumers (e.g., Involve consumers and family members; Use mass media or public service announcements)
Use financial strategies (e.g., Access new funding [time-limited grant or 3rd party insurance]; Provide incentives/allowance; Develop disincentives)
Change infrastructure (e.g., Policy mandates; Alter physical environment)
(Use strategies from above; add or delete rows if needed):
{% endif %}
{% if disabled %}{% else %}
{% endif %}
Type
Format
Planned Number of Units
Frequency
{% if disabled %}{% else %} {% endif %}
{% if disabled %}{% else %}
Remove
{% endif %}
{% if strategies %}{% for strategy in strategies %}
{{ strategy.strategy_type }}
{{ strategy.strategy_format }}
{{ strategy.planned_number_units }}
{{ strategy.frequency }}
{% if disabled %}{% else %}
Remove
{% endif %}
{% endfor %}{% else %}
{% if disabled %}{% else %}
Remove
{% endif %}
{% endif %}
Implement strategy description:
Free Text Description (Provide a Description of the Planned Implementation Steps)
4. Contextual/determinant Considerations
(What facilitators are anticipated to aid implementation and barriers that could hinder implementation?)
Consider system factors:
System factors--external to the organization (e.g., financing; mandates, community, culture)
Consider organizational factors:
Organizational factors—internal to the organization (e.g., leadership; readiness)
Consider clinical factors:
Individual clinician factors (e.g., alignment with existing practice; complexity)
Consider sustainment strategy:
Sustainment strategies applied
5. Implementation Process
Implementation recruited:
a) How will participants be recruited?
Implementation participants:
b) How many participants are enrolled?
Implementation enrolled:
c) # (%) initiating implementation strategy (individuals, teams or organizations
Implementation completing half:
# (%) completing 50% of implementation strategy activities
Implementation completing majority:
# (%) completing 80% or more of implementation strategy activities
6. What Implementation/Sustainment Measures are being planned or collected?
Outcome
How will you measure the outcome?
Results
a) Reach (# or percentage of population, what is the population, and how will you be measuring the outcome?
b) Effectiveness of Intervention/Program/Services (w/consumers), how do you measure it?
c) Adoption (#/% of providers)
d) Implementation Fidelity/Adherence/Quality
e) Cost
f) Maintenance/Sustainment
g) Any other measures?


| tidy.ivreg {broom} | R Documentation |
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'ivreg' tidy(x, conf.int = FALSE, conf.level = 0.95, instruments = FALSE, ...)
x |
An |
conf.int |
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level |
The confidence level to use for the confidence interval
if |
instruments |
Logical indicating whether to return
coefficients from the second-stage or diagnostics tests for
each endogenous regressor (F-statistics). Defaults to |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
This tidier currently only supports ivreg
-classed objects
outputted by the AER
package. The ivreg
package also outputs
objects of class ivreg
, and will be supported in a later release.
A tibble::tibble()
with columns:
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
estimate |
The estimated value of the regression term. |
p.value |
The two-sided p-value associated with the observed statistic. |
p.value.Sargan |
p-value for Sargan test of overidentifying restrictions. |
p.value.weakinst |
p-value for weak instruments test. |
p.value.Wu.Hausman |
p-value for Wu-Hausman weak instruments test for endogeneity. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
statistic.Sargan |
Statistic for Sargan test of overidentifying restrictions. |
statistic.weakinst |
Statistic for Wu-Hausman test. |
statistic.Wu.Hausman |
Statistic for Wu-Hausman weak instruments test for endogeneity. |
std.error |
The standard error of the regression term. |
term |
The name of the regression term. |
Other ivreg tidiers:
augment.ivreg()
,
glance.ivreg()
library(AER) data("CigarettesSW", package = "AER") ivr <- ivreg( log(packs) ~ income | population, data = CigarettesSW, subset = year == "1995" ) summary(ivr) tidy(ivr) tidy(ivr, conf.int = TRUE) tidy(ivr, conf.int = TRUE, instruments = TRUE) augment(ivr) augment(ivr, data = CigarettesSW) augment(ivr, newdata = CigarettesSW) glance(ivr)


‘My Shaw’ app now lets users restart modems and refresh TV channels
The new features are available under the 'Troubleshoot' settings
by Aisha MalikShaw has updated its ‘My Shaw’ app with new features to allow users to refresh their TV channels and restart their modems.
The new features gives Shaw customers an easier way to troubleshoot their TV and home internet straight from the app.
Now when users open up the My Shaw app, they have the option to restart their modem under the ‘Troubleshoot’ options. Once you tap the ‘Restart’ button a pop-up will explain the process.
“We’ve included two new troubleshooting options that allow you to refresh your TV channels and restart your modem with the tap of a button,” the updated app description reads.
To refresh your TV channels, you’ll have to go into the ‘Manage TV & BlueCurve TV App Device’ settings. Then you have to tap ‘Refresh,’ after which you’ll receive a confirmation notification. The company says that it can take up to 10 minutes for the channels to refresh.
The new features are available for both iOS and Android users with the My Shaw app.
Source: My Shaw Via: iPhone in Canada


Francesco Del Duchetto
L-CAS • School of Computer Science • University of Lincoln
Office 3118,
Isaac Newton Building,
Brayford Pool, Lincoln LN6 7TS, UK
I am a Lecturer (Asst. Prof.) in Robotics and Autonomous Systems at the Lincoln Centre for Autonomous Systems at the University of Lincoln UK.
The goal of my research is to make robots being able to
I was a Post-Doctoral Research Associate working with Ms. Maria Jose Galvez Trigo in the TARICS project, and a PhD student advised by Prof. Marc Hanheide in the Lindsey, the tour guide robot" project. I graduated from Sapienza University of Rome with a MSc in “Artificial Intelligence and Robotics” advised by Prof. Luca Iocchi and from the University of Bologna with a BSc in “Computer Science and Engineering” advised by Prof. Andrea Roli.
Research interests:
news
| Jul 8, 2022 | Our RA-L paper was accepted to be presented at IROS 2022 in Kyoto Japan and nominated as a finalist for the Best Paper Award on Cognitive Robotics 🏅! |
| Apr 25, 2022 | We got a paper accepted for publication at the IEEE RA-L reporting our latest research on behavioural adaptation from the users feedback during human-robot interactions! Available at: https://arxiv.org/abs/2203.10518 |
| Sept 28, 2021 | I will present at IROS 2021 our work Navigate-and-Seek: a Robotics Framework for People Localisation in Agricultural Environments done while working with L-CAS and Saga robotics! |
| Jan 28, 2021 | Take a look at my invited talk In-Situ Learning from Human Interactions in Public Spaces at the "Pint of Robotics" Seminar Talk series, organised by Robotics at Leeds! |
| Oct 1, 2020 | I will help organize the next HRI pioneers 2021 workshop in Boulder Colorado USA as a Web/Publicity Chair! |
| Aug 3, 2020 | I am starting a 9-months job as a Research Associate in Agricultural In-Field Robotics at Saga Robotics! I will then resume my PhD studies in the next year. |
| Dec 28, 2019 | I have been accepted to participate to the HRI pioneers workshop in conjunction with the HRI 2020 conference in Cambridge UK! |
| Jul 5, 2019 | We got a paper accepted at RO-MAN 2019 in which we report the Lindsey framework, analyse and discuss the visitors' behaviours in terms of their engagement with our tour guide robot! |
| Mar 20, 2019 | Excited to have participated at the Public Engagement with Research at Lincoln Conference where I showcased our Lindsey Project with a poster presentation. |
| Oct 12, 2018 | I presented our article: Engaging Learners in Dialogue Interactivity Development for Mobile Robots EDUROBOTICS 2018. |
| Oct 6, 2018 | I had an oral presentation of our article: Do Not Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation From Human Demonstrations at IROS 2018 in Madrid. |
| Jun 23, 2018 | We were at the RoboCup 2018 in Montreal, competing in the @HOME Social Standard Platform league! → L-CAS blog post |


Here’s Every XXL Freshman Who’s Been Nominated for a Grammy Award
by PreezySince introducing our inaugural Freshman class 12 years ago, XXL has built a track record of helping place some of the most promising prospects in hip-hop onto the national radar. During that time, many artists that have appeared on the cover have gone on to build sustainable careers, with more than a few having evolved into bonafide stars that are considered among the biggest acts in all of music.
In addition to moving the needle on radio, dominating charts and accounting for millions of album sales, XXL Freshman alums like Kendrick Lamar, 21 Savage, J.I.D and Gunna have also garnered acclaim and respect from institutions outside of the culture. The Recording Academy, which celebrates the best music has to offer with its annual Grammy Awards, was initially slow to embrace hip-hop during the 1980s and 1990s, but have spent the past two decades making gradual strides in that area.
With artists like Jazzy Jeff & the Fresh Prince, Jay-Z, Kanye West and a host of other rap icons breaking barriers and being recognized at the Grammys, the awards show has increasingly pandered to the hip-hop community with each passing year. And while a Gramophone doesn't define or dictate one artist's worth or value, having one in your collection is a bragging right that's coveted by a number of artists and is a reflection of creative excellence.
In light of the nominations for the 2020 Grammys being revealed, XXL highlights a few dozen former Freshman, from DaBaby to YBN Cordae and more, that have been recognized by the Grammy committee over the years.
See Every XXL Freshman Who's Been Nominated for a Grammy Award
21 Savage
Nominations: 2 [Record of the Year (2019); Best Rap/Sung Performance (2019)]
Wins: 0
Anderson .Paak
Nominations: 4 [Best New Artist (2017); Best Urban Contemporary Album (2017); Best R&B Performance (2020); Best R&B Album (2020)]
Wins: 1 [Best Rap Performance (2019)]
Big Sean
Nominations: 5 [Best Rap Song (2013); Best Rap Performance (2013); Best Rap/Sung Collaboration (2016); Album of the Year (2017); Best Rap Performance (2018)]
Wins: 0
B.o.B.
Nominations: 6 [Record of the Year (2011); Best Rap/Sung Performance (2011); Best Rap Song (2011); Best Pop Collaboration with Vocals (2011); Best Rap Album (2011); Album of the Year (2012)]
Wins: 0
Chance The Rapper
Nominations: 5 [Best Rap Song (2017); Best Rap Song (2017); Best Rap Song (2017); Best Rap/Sung Performance (2017); Best Rap Song (2020)]
Wins: 3 [Best New Artist (2017); Best Rap Performance (2017); Best Rap Album (2017)]
DaBaby
Nominations: 2 [Best Rap Performance (2020); Best Rap Song (2020)]
Wins: 0
Desiigner
Nominations: 1 [Best Rap Performance (2017)]
Wins: 0
Fetty Wap
Nominations: 2 [Best Rap Song (2016); Best Rap Performance (2016)]
Wins: 0
French Montana
Nominations: 3 [Best Rap Song (2016); Best Rap Song (2017); Best Rap Performance (2017)]
Wins: 0
Future
Nominations: 2 [Album of the Year (2017); Best Rap Song (2019)]
Wins: 1 [Best Rap Performance 2019)]
Goldlink
Nominations: 2 [Best Rap/Sung Performance (2018); Best Rap/Sung Performance (2019)]
Gunna
Nominations: 1 [Best Rap/Sung Performance (2020)]
Wins: 0
Iggy Azalea
Nominations: 4 [Record of the Year (2015); Best New Artist (2015); Best Rap Album (2015); Best Pop Duo/Group Performance (2015)]
Wins: 0
J. Cole
Nominations: 10 [Best New Artist (2012); Best Rap/Sung Collaboration (2014); Best R&B Performance (2016); Best Rap Performance (2017); Best Rap/Sung Performance (2019); Best Rap Performance (2020); Best Rap Performance (2020); Best Rap/Sung Performance (2020); Best Rap Song (2020); Best Rap Album (2020)]
Wins: 0
J.I.D
Nominations: 2 [Best Rap Performance (2020); Best Rap Album (2020)]
Wins: 0
Jay Rock
Nominations: 3 [Album of the Year (2014); Best Rap Song (2019); Best Rap Song (2019)]
Wins: 1 [Best Rap Performance 2019)]
Kendrick Lamar
Nominations: 20 [Best New Artist (2014); Album of the Year (2014); Best Rap Album (2014); Best R&B Performance (2014); Best Rap/Sung Performance (2014); Best Rap Performance (2014); Best Rap Song (2014); Song of the Year (2016) Best Music Video (2016); Best Rap Song (2016); Album of the Year (2016); Album of the Year (2016); Best Rap/Sung Performance (2017); Album of the Year (2018); Record of the Year (2019); Album of the Year (2019); Song of the Year (2019); Best Rap/Sung Performance (2019); Best Rap Song (2019); Best Rap Song (2019); Best Song Written for Visual Media]
Wins: 13 [Best Rap Song (2015); Best Rap Performance (2015); Best Rap Performance (2016); Best Rap Song (2016); Best Rap/Sung Performance (2016); Best Music Video (2016); Best Rap Album (2016) Best Rap Performance (2018); Best Rap/Sung Performance (2018); Best Music Video (2018) Best Rap Song (2018), Best Rap Album (2018); Best Rap Performance 2019)]
Kid Cudi
Nominations: 3 [Best Rap Solo Performance (2010); Best Rap Song (2010); Best Rap Performance By A Duo Or Group (2010)]
Wins: 2 [Best Rap/Sung Collaboration (2012); Best Rap Song (2012)
Lil Yachty
Nominations: 1 [Best Rap/Sung Collaboration (2017)]
Wins: 0
Logic
Nominations: 2 [Song of the Year (2018); Best Music Video (2018)]
Wins: 0
Lil Uzi Vert
Nominations: 2 [Best New Artist (2018); Best Rap Performance (2018)]
Wins: 0
Lupe Fiasco
Nominations: 11 [Best Rap Solo Performance (2007); Best Rap Song (2007); Best Rap Album (2007); Best Rap Solo Performance (2009); Best Rap Album (2009); Best Rap/Sung Collaboration (2009); Best Rap Song (2009); Best Rap Song (2012); Best Rap Performance (2012); Best Rap Album (2012); Best Rap Album (2013)]
Wins: 1 [Best Urban/Alternative Performance (2008)]
Mac Miller
Nominations: 1 [Best Rap Album (2019)]
Wins: 0
Macklemore
Nominations: 3 [Album of the Year (2014); Song of the Year (2014); Best Music Video (2014)]
Wins: 4 [Best Rap Album (2014); Best New Artist (2014) Best Rap Song (2014); Best Rap Performance (2014)]
Meek Mill
Nominations: 1 [Best Rap Album (2020)]
Wins: 0
Nipsey Hussle
Nominations: 4 [Best Rap Album (2019); Best Rap Performance (2020); Best Rap/Sung Performance (2020); Best Rap Song (2020)]
Wins: 0
Plies
Nominations: 1 [Best Rap Performance By A Duo Or Group (2011)]
Wins: 0
Roddy Ricch
Nominations: 3 [Best Rap Performance (2020); Best Rap/Sung Performance (2020); Best Rap Song (2020)]
Wins: 0
ScHoolboy Q
Nominations: 5 [Album of the Year (2014); Best Rap Album (2015); Best Rap/Sung Collaboration (2015); Best Rap Album (2017); Best Rap Performance (2017)
Wins: 0
Shy Glizzy
Nominations: [Best Rap/Sung Performance (2018)]
Wins: 0
Tierra Whack
Nominations: 1 [Best Music Video (2019)]
Wins: 0
Travis Scott
Nominations: [Best Rap Song (2014); Album of the Year (2017); Best Rap/Sung Performance (2018); Best Rap Performance (2019); Best Rap Song (2019); Best Rap Album (2019); Best Rap/Sung Performance (2020]
Wins: 0
Ty Dolla $ign
Nominations: 1 [Best Dance Recording (2020)]
Wins: 0
Wale
Nominations: 1 [Best Rap Song (2013)]
Wins: 0
Wiz Khalifa
Nominations: 9 [Best Rap Song (2012); Best Rap Performance (2012); Best Rap Song; Best Pop Duo/Group Performance (2013); Best Rap/Sung Collaboration (2014); Best Rap Song (2015); Best Rap Album (2015); Song of the Year (2016); Best Pop Duo/Group Performance (2016); Best Song Written for Visual Media (2016)]
Wins: 0
YBN Cordae
Nominations: 2 [Best Rap Song (2020); Best Rap Album (2020)]


{* Copyright 2011-2013 Here's A Hand Limited Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. *} {extends file="whitelabeladmin/page.htm"} {block name="content"}
| ID | Title | |
|---|---|---|
| {$whiteLabel->getID()|escape} | {$whiteLabel->getTitle()|escape} | View |


| | |
- __builtin__.object
-
- StorageByKeyName
- google.appengine.ext.db.Property(__builtin__.object)
-
- FlowThreeLeggedProperty
- OAuthCredentialsProperty
class FlowThreeLeggedProperty(google.appengine.ext.db.Property) |
| |
Utility property that allows easy
storage and retreival of an
apiclient.oauth.FlowThreeLegged |
| |
- Method resolution order:
- FlowThreeLeggedProperty
- google.appengine.ext.db.Property
- __builtin__.object
Methods defined here:
- empty(self, value)
- get_value_for_datastore(self, model_instance)
- # For writing to datastore.
- make_value_from_datastore(self, value)
- # For reading from datastore.
- validate(self, value)
Data and other attributes defined here:
- data_type = <class 'apiclient.oauth.FlowThreeLegged'>
- Does the Three Legged Dance for OAuth 1.0a.
Methods inherited from google.appengine.ext.db.Property:
- __get__(self, model_instance, model_class)
- Returns the value for this property on the given model instance.
See http://docs.python.org/ref/descriptors.html for a description of
the arguments to this class and what they mean.
- __init__(self, verbose_name=None, name=None, default=None, required=False, validator=None, choices=None, indexed=True)
- Initializes this Property with the given options.
Args:
verbose_name: User friendly name of property.
name: Storage name for property. By default, uses attribute name
as it is assigned in the Model sub-class.
default: Default value for property if none is assigned.
required: Whether property is required.
validator: User provided method used for validation.
choices: User provided set of valid property values.
indexed: Whether property is indexed.
- __property_config__(self, model_class, property_name)
- Configure property, connecting it to its model.
Configure the property so that it knows its property name and what class
it belongs to.
Args:
model_class: Model class which Property will belong to.
property_name: Name of property within Model instance to store property
values in. By default this will be the property name preceded by
an underscore, but may change for different subclasses.
- __set__(self, model_instance, value)
- Sets the value for this property on the given model instance.
See http://docs.python.org/ref/descriptors.html for a description of
the arguments to this class and what they mean.
- datastore_type(self)
- Deprecated backwards-compatible accessor method for self.data_type.
- default_value(self)
- Default value for unassigned values.
Returns:
Default value as provided by __init__(default).
Data descriptors inherited from google.appengine.ext.db.Property:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from google.appengine.ext.db.Property:
- creation_counter = 0
|
class OAuthCredentialsProperty(google.appengine.ext.db.Property) |
| |
Utility property that allows easy
storage and retrieval of
apiclient.oath.OAuthCredentials |
| |
- Method resolution order:
- OAuthCredentialsProperty
- google.appengine.ext.db.Property
- __builtin__.object
Methods defined here:
- empty(self, value)
- get_value_for_datastore(self, model_instance)
- # For writing to datastore.
- make_value_from_datastore(self, value)
- # For reading from datastore.
- validate(self, value)
Data and other attributes defined here:
- data_type = <class 'apiclient.oauth.OAuthCredentials'>
- Credentials object for OAuth 1.0a
Methods inherited from google.appengine.ext.db.Property:
- __get__(self, model_instance, model_class)
- Returns the value for this property on the given model instance.
See http://docs.python.org/ref/descriptors.html for a description of
the arguments to this class and what they mean.
- __init__(self, verbose_name=None, name=None, default=None, required=False, validator=None, choices=None, indexed=True)
- Initializes this Property with the given options.
Args:
verbose_name: User friendly name of property.
name: Storage name for property. By default, uses attribute name
as it is assigned in the Model sub-class.
default: Default value for property if none is assigned.
required: Whether property is required.
validator: User provided method used for validation.
choices: User provided set of valid property values.
indexed: Whether property is indexed.
- __property_config__(self, model_class, property_name)
- Configure property, connecting it to its model.
Configure the property so that it knows its property name and what class
it belongs to.
Args:
model_class: Model class which Property will belong to.
property_name: Name of property within Model instance to store property
values in. By default this will be the property name preceded by
an underscore, but may change for different subclasses.
- __set__(self, model_instance, value)
- Sets the value for this property on the given model instance.
See http://docs.python.org/ref/descriptors.html for a description of
the arguments to this class and what they mean.
- datastore_type(self)
- Deprecated backwards-compatible accessor method for self.data_type.
- default_value(self)
- Default value for unassigned values.
Returns:
Default value as provided by __init__(default).
Data descriptors inherited from google.appengine.ext.db.Property:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from google.appengine.ext.db.Property:
- creation_counter = 0
|
class StorageByKeyName(__builtin__.object) |
| |
Store and retrieve a single credential to and from
the App Engine datastore.
This Storage helper presumes the Credentials
have been stored as a CredenialsProperty
on a datastore model class, and that entities
are stored by key_name. |
| |
Methods defined here:
- __init__(self, model, key_name, property_name)
- Constructor for Storage.
Args:
model: db.Model, model class
key_name: string, key name for the entity that has the credentials
property_name: string, name of the property that is a CredentialsProperty
- get(self)
- Retrieve Credential from datastore.
Returns:
Credentials
- put(self, credentials)
- Write a Credentials to the datastore.
Args:
credentials: Credentials, the credentials to store.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
| |


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.ApplicationConfig @import domain.models.developers.DeveloperSession @import domain.models.apidefinitions.{ApiContext, ApiVersion} @import model.{ApplicationViewModel, Crumb} @import include._ @this(devMain: DevMain, leftHandNav: LeftHandNav) @(applicationView: ApplicationViewModel, form: Form[ChangeSubscriptionConfirmationForm], name: String, context: ApiContext, version: ApiVersion, subscribed: Boolean, redirectTo: String, formAction: Call)( implicit request: play.api.mvc.Request[Any], loggedIn: DeveloperSession, messagesProvider: MessagesProvider, applicationConfig: ApplicationConfig, navSection: String = "subscriptions" ) @app = @{applicationView.application} @test(section: String) = { @if(section == "credentials") { Manage credentials } else { Manage API subscriptions } } @title = @{ if (subscribed) "Confirm unsubscribe" else "Confirm subscribe" } @devMain( title = title, userFullName = loggedIn.loggedInName, breadcrumbs = Seq( Crumb(test(navSection).toString), Crumb.application(app), Crumb.viewAllApplications, Crumb.home ), leftNav = Some(leftHandNav(Option(applicationView), Option(navSection))), developerSession = Some(loggedIn) ) { @errorSummary(form)
For security reasons we must approve any API subscription changes. This takes up to 2 working days.


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_OakGame_classes.hpp>
Static Public Member Functions | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UGbxDataAsset | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UDataAsset | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UObject | |
| static FChunkedFixedUObjectArray & | GetGlobalObjects () |
| template<typename T > | |
| static T * | FindObject (const std::string &name) |
| static UClass * | FindClass (const std::string &name) |
| template<typename T > | |
| static T * | GetObjectCasted (std::size_t index) |
| static UClass * | StaticClass () |
Public Attributes | |
| struct FName | Event |
| EVehicleEffectEvent | EffectEvent |
| bool | bPlayerOnly |
| bool | bExcludedInSplitScreen |
| unsigned char | UnknownData00 [0x5] |
| class UGbxCondition * | StartCondition |
| class UGbxCondition * | StopCondition |
| Public Attributes inherited from UDataAsset | |
| class UClass * | NativeClass |
| Public Attributes inherited from UObject | |
| void * | VTableObject |
| int32_t | ObjectFlags |
| int32_t | InternalIndex |
| class UClass * | Class |
| FName | Name |
| class UObject * | Outer |
Additional Inherited Members | |
| Public Member Functions inherited from UObject | |
| std::string | GetName () const |
| std::string | GetFullName () const |
| bool | IsA (UClass *cmp) const |
| void | ProcessEvent (class UFunction *function, void *parms) |
| void | ExecuteUbergraph (int EntryPoint) |
| Static Public Attributes inherited from UObject | |
| static FUObjectArray * | GObjects |
|
inlinestatic |
| bool bExcludedInSplitScreen |
| bool bPlayerOnly |
| EVehicleEffectEvent EffectEvent |
| struct FName Event |
| class UGbxCondition* StartCondition |
| class UGbxCondition* StopCondition |
| unsigned char UnknownData00[0x5] |


sphinx.ext.autodoc
– Include documentation from docstrings¶
This extension can import the modules you are documenting, and pull in documentation from docstrings in a semi-automatic way.
Note
For Sphinx (actually, the Python interpreter that executes Sphinx) to find
your module, it must be importable. That means that the module or the
package must be in one of the directories on sys.path
– adapt your
sys.path
in the configuration file accordingly.
Warning
autodoc
imports the modules to be documented. If any
modules have side effects on import, these will be executed by autodoc
when sphinx-build
is run.
If you document scripts (as opposed to library modules), make sure their main
routine is protected by a if __name__ == '__main__'
condition.
For this to work, the docstrings must of course be written in correct reStructuredText. You can then use all of the usual Sphinx markup in the docstrings, and it will end up correctly in the documentation. Together with hand-written documentation, this technique eases the pain of having to maintain two locations for documentation, while at the same time avoiding auto-generated-looking pure API documentation.
If you prefer NumPy or Google style docstrings over reStructuredText,
you can also enable the napoleon
extension.
napoleon
is a preprocessor that converts your
docstrings to correct reStructuredText before autodoc
processes them.
Directives¶
autodoc
provides several directives that are versions of the usual
py:module
, py:class
and so forth. On parsing time, they
import the corresponding module and extract the docstring of the given objects,
inserting them into the page source under a suitable py:module
,
py:class
etc. directive.
Note
Just as py:class
respects the current py:module
,
autoclass
will also do so. Likewise, automethod
will
respect the current py:class
.
-
.. automodule::
¶ -
.. autoclass::
¶ -
.. autoexception::
¶ Document a module, class or exception. All three directives will by default only insert the docstring of the object itself:
.. autoclass:: Noodle
will produce source like this:
.. class:: Noodle Noodle's docstring.
The “auto” directives can also contain content of their own, it will be inserted into the resulting non-auto directive source after the docstring (but before any automatic member documentation).
Therefore, you can also mix automatic and non-automatic member documentation, like so:
.. autoclass:: Noodle :members: eat, slurp .. method:: boil(time=10) Boil the noodle *time* minutes.
Options and advanced usage
If you want to automatically document members, there’s a
members
option:.. automodule:: noodle :members:
will document all module members (recursively), and
.. autoclass:: Noodle :members:
will document all non-private member functions and properties (that is, those whose name doesn’t start with
_
).For modules,
__all__
will be respected when looking for members unless you give theignore-module-all
flag option. Withoutignore-module-all
, the order of the members will also be the order in__all__
.You can also give an explicit list of members; only these will then be documented:
.. autoclass:: Noodle :members: eat, slurp
If you want to make the
members
option (or other options described below) the default, see :confval:`autodoc_default_options`.Tip
You can use a negated form,
'no-flag'
, as an option of autodoc directive, to disable it temporarily. For example:.. automodule:: foo :no-undoc-members:
Members without docstrings will be left out, unless you give the
undoc-members
flag option:.. automodule:: noodle :members: :undoc-members:
“Private” members (that is, those named like
_private
or__private
) will be included if theprivate-members
flag option is given:.. automodule:: noodle :members: :private-members:
It can also take an explicit list of member names to be documented as arguments:
.. automodule:: noodle :members: :private-members: _spicy, _garlickly
New in version 1.1.
Changed in version 3.2: The option can now take arguments.
autodoc considers a member private if its docstring contains
:meta private:
in its Info field lists. For example:def my_function(my_arg, my_other_arg): """blah blah blah :meta private: """
New in version 3.0.
autodoc considers a member public if its docstring contains
:meta public:
in its Info field lists, even if it starts with an underscore. For example:def _my_function(my_arg, my_other_arg): """blah blah blah :meta public: """
New in version 3.1.
autodoc considers a variable member does not have any default value if its docstring contains
:meta hide-value:
in its Info field lists. Example:var1 = None #: :meta hide-value:
New in version 3.5.
Python “special” members (that is, those named like
__special__
) will be included if thespecial-members
flag option is given:.. autoclass:: my.Class :members: :private-members: :special-members:
would document both “private” and “special” members of the class.
New in version 1.1.
Changed in version 1.2: The option can now take arguments, i.e. the special members to document.
For classes and exceptions, members inherited from base classes will be left out when documenting all members, unless you give the
inherited-members
option, in addition tomembers
:.. autoclass:: Noodle :members: :inherited-members:
This can be combined with
undoc-members
to document all available members of the class or module.It can take an ancestor class not to document inherited members from it. By default, members of
object
class are not documented. To show them all, giveNone
to the option.For example; If your class
Foo
is derived fromlist
class and you don’t want to documentlist.__len__()
, you should specify a option:inherited-members: list
to avoid special members of list class.Another example; If your class Foo has
__str__
special method and autodoc directive has bothinherited-members
andspecial-members
,__str__
will be documented as in the past, but other special method that are not implemented in your classFoo
.Note: this will lead to markup errors if the inherited members come from a module whose docstrings are not reST formatted.
New in version 0.3.
Changed in version 3.0: It takes an ancestor class name as an argument.
It’s possible to override the signature for explicitly documented callable objects (functions, methods, classes) with the regular syntax that will override the signature gained from introspection:
.. autoclass:: Noodle(type) .. automethod:: eat(persona)
This is useful if the signature from the method is hidden by a decorator.
New in version 0.4.
The
automodule
,autoclass
andautoexception
directives also support a flag option calledshow-inheritance
. When given, a list of base classes will be inserted just below the class signature (when used withautomodule
, this will be inserted for every class that is documented in the module).New in version 0.4.
All autodoc directives support the
noindex
flag option that has the same effect as for standardpy:function
etc. directives: no index entries are generated for the documented object (and all autodocumented members).New in version 0.4.
automodule
also recognizes thesynopsis
,platform
anddeprecated
options that the standardpy:module
directive supports.New in version 0.5.
automodule
andautoclass
also has anmember-order
option that can be used to override the global value of :confval:`autodoc_member_order` for one directive.New in version 0.6.
The directives supporting member documentation also have a
exclude-members
option that can be used to exclude single member names from documentation, if all members are to be documented.New in version 0.6.
In an
automodule
directive with themembers
option set, only module members whose__module__
attribute is equal to the module name as given toautomodule
will be documented. This is to prevent documentation of imported classes or functions. Set theimported-members
option if you want to prevent this behavior and document all available members. Note that attributes from imported modules will not be documented, because attribute documentation is discovered by parsing the source file of the current module.New in version 1.2.
Add a list of modules in the :confval:`autodoc_mock_imports` to prevent import errors to halt the building process when some external dependencies are not importable at build time.
New in version 1.3.
As a hint to autodoc extension, you can put a
::
separator in between module name and object name to let autodoc know the correct module name if it is ambiguous... autoclass:: module.name::Noodle
-
.. autofunction::
¶ -
.. autodecorator::
¶ -
.. autodata::
¶ -
.. automethod::
¶ -
.. autoattribute::
¶ These work exactly like
autoclass
etc., but do not offer the options used for automatic member documentation.autodata
andautoattribute
support theannotation
option. The option controls how the value of variable is shown. If specified without arguments, only the name of the variable will be printed, and its value is not shown:.. autodata:: CD_DRIVE :annotation:
If the option specified with arguments, it is printed after the name as a value of the variable:
.. autodata:: CD_DRIVE :annotation: = your CD device name
By default, without
annotation
option, Sphinx tries to obtain the value of the variable and print it after the name.The
no-value
option can be used instead of a blankannotation
to show the type hint but not the value:.. autodata:: CD_DRIVE :no-value:
If both the
annotation
andno-value
options are used,no-value
has no effect.For module data members and class attributes, documentation can either be put into a comment with special formatting (using a
#:
to start the comment instead of just#
), or in a docstring after the definition. Comments need to be either on a line of their own before the definition, or immediately after the assignment on the same line. The latter form is restricted to one line only.This means that in the following class definition, all attributes can be autodocumented:
class Foo: """Docstring for class Foo.""" #: Doc comment for class attribute Foo.bar. #: It can have multiple lines. bar = 1 flox = 1.5 #: Doc comment for Foo.flox. One line only. baz = 2 """Docstring for class attribute Foo.baz.""" def __init__(self): #: Doc comment for instance attribute qux. self.qux = 3 self.spam = 4 """Docstring for instance attribute spam."""
Changed in version 0.6:
autodata
andautoattribute
can now extract docstrings.Changed in version 1.1: Comment docs are now allowed on the same line after an assignment.
Changed in version 1.2:
autodata
andautoattribute
have anannotation
option.Changed in version 2.0:
autodecorator
added.Changed in version 3.4:
autodata
andautoattribute
now have ano-value
option.Note
If you document decorated functions or methods, keep in mind that autodoc retrieves its docstrings by importing the module and inspecting the
__doc__
attribute of the given function or method. That means that if a decorator replaces the decorated function with another, it must copy the original__doc__
to the new function.
Configuration¶
There are also config values that you can set:
Docstring preprocessing¶
autodoc provides the following additional events:
The sphinx.ext.autodoc
module provides factory functions for commonly
needed docstring processing in event :event:`autodoc-process-docstring`:
Skipping members¶
autodoc allows the user to define a custom method for determining whether a member should be included in the documentation by using the following event:


{{ site.name }}
haosheng at cs dot stanford dot edu
I am a PhD student at the Stanford Machine Learning Group, part of the Computer Science Department at Stanford University, where I work on machine learning, meta-learning and their applications. My am co-advised by Andrew Ng and Sharad Goel.
From 2017 to 2019, I worked at Landing AI where we initiate the AI-powered transformation of many industries. I primarily designed computer vision algorithms for efficient visual inspections (both static images and videos).
I got my MS in Computational Engineering from ICME(Institute for Computational & Mathematical Engineering), Stanford University, where I TAed CS229 (2016 Fall), EE364A (2017 Spring) and OIT274 (2019 Spring). I have a B.A. in PPE (Philosophy, Political Science and Economics) from Yuanpei College, Peking University.
Email /
GitHub /
LinkedIn
|


{% extends "core/base.html" %} {% block site_title %}
Name: {{character.name}}
Growth points: {{character.growth_points}}
Next level growth points: {{character.next_level}}
There is no character in the database


ElevateZoom-Plus is a jquery plugin for zooming images within a container or also in a
"lens"
that floats overtop of web page.
It was built using the jQuery library.
Licensed under MIT license
No need to download anything, you only need to include the jquery and elevatezoom plugin files into your project as show below:
ElevateZoom-Plus works best using two images, one low resolution for the visible image, and one high resolution for the zoomed image. If you only have one image available, Elevate Zoom will still work if you scale down the image, although this is not recommended as your page load time will increase if you are loading larger images
Please ensure your small image is proportionally scaled down from the large image.


Skills
Skills represent a players proficiency or ability. SUGAR allows the game designer to define and track which skills the game is designed to teach.
Such a skill is globally defined with a game-specific criteria. The criteria checks the GameData table for occurrences that serve as evidence of that skill's demonstration.
Note
Both Skills and Achievements build on "Evaluations" which may contain a multitude of "EvaluationCriteria", specifiying the conditions that need to be satisfied for this specific Evaluation to be considered complete.
Features
- Get all skills
- Get all skills that match a name/id
- Get all skills associated with a particular game
- Get a player's performance of a particular skill
- Can be global or game-specific
- CRUD Skill
- CRUD Skill Metadata
- Search Skill (ID/name/metadata/Actor)
API
- Client
- Contracts
- WebAPI
Examples
- Create a skill Skills work identically to Achievements, utilising the same contracts and GameData. This example shows how to set up the Swordsmanship skill for a game. The skill has an [EvaluationCriteriaCreateRequest specifying the value and ComparisonType to determine at which point the skill has been learnt, key "Swordsmanship" and CriteriaQueryType to sum all GameData entry values matching the key.
public SUGARClient sugarClient = new SUGARClient(BaseUri);
private SkillClient _skillClient;
private int _gameId;
private void SetUpSkill()
{
// create instance of the achievement client
_skillClient = sugarClient.Skill;
// create an EvaluationCriteria list
var EvaluationCriteria = new List<EvaluationCriteria>()
{
new EvaluationCriteria()
{
DataType = GameDataType.Long,
Value = "100",
Key = "Swordsmanship",
CriteriaQueryType = CriteriaQueryType.Sum,
ComparisonType = ComparisonType.GreaterOrEqual,
Scope = CriteriaScope.Actor
}
};
// place the criteria inside an EvaluationCreateRequest
var EvaluationCreateRequest = new EvaluationCreateRequest()
{
GameId = _gameId,
Name = "Swordsmanship Skill!",
ActorType = ActorType.User,
Token = "swordsmanship",
CompletionCriteria = EvaluationCriteria
};
// create the skill
_skillClient.Create(EvaluationCreateRequest);
}
Submitting data for when somthing which may be used to evaluate progress towards a Skill
A skill uses keys in GameData that match its EvaluationCriteriaCreateRequest. This data is submitted at points in the game which demonstrate progress towards the skill (as well as other uses).
private void SwingSword()
{
// *Sword Swinging Code* //
// create instance of GameDataClient
var gameDataClient = sugarClient.GameData;
// create GameDataRequest
var gameDataRequest = new GameDataRequest()
{
GameId = _gameId,
ActorId = _userId,
GameDataType = GameDataType.Long,
Value = "1",
Key = "Swordsmanship"
};
// add the GameData
gameDataClient.Add(gameDataRequest);
}
Automatically recieve skill progress completion notifications:
Enable and use automatic notifications:
_skillClient.EnableNotifications(true);
And then poll to see if any achievements have been recieved.
EvaluationNotification notification;
if(_skillClient.TryGetPendingNotification(out notification))
{
// There was a penging skill notification, so do something with it
Log.Info($"Got skill notification: {notification.Name} " +
$"with progress: {notification.Progress}");
}
- Requesting specific using the SkillClient's GetSkillProgress function and specifying the GameId, ActorId and Token returns an EvaluationProgressResponse object for that Actor's progress towards the skill in that game.
private float CheckSkillProgress()
{
// Check the user's progress towards the achievements in the specified game
var skillProgressResponse = _skillClient.GetSkillProgress
(
"swordsmanship",
_gameId,
_userId
);
// Output the progress
return skillProgressResponse.Progress;
}


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package maxima
The maxima
package contains classes, traits and objects for
optimization to find maxima.
- Alphabetic
- By Inheritance
- maxima
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Type Members
-
class
CheckLP
extends Error
The
CheckLP
class checks the solution to Linear Programming (LP) problems.The
CheckLP
class checks the solution to Linear Programming (LP) problems. Given a constraint matrix 'a', limit/RHS vector 'b' and cost vector 'c', determine if the values for the solution/decision vector 'x' maximizes the objective function 'f(x)', while satisfying all of the constraints, i.e.,maximize f(x) = c x subject to a x <= b, x >= 0
Check the feasibility and optimality of the solution.
-
class
ConjGradient
extends Error
The
ConjGradient
implements the Polak-Ribiere Conjugate Gradient (PR-CG) Algorithm for solving Non-Linear Programming (NLP) problems.The
ConjGradient
implements the Polak-Ribiere Conjugate Gradient (PR-CG) Algorithm for solving Non-Linear Programming (NLP) problems. PR-CG determines a search direction as a weighted combination of the steepest descent direction (-gradient) and the previous direction. The weighting is set by the beta function, which for this implementation used the Polak-Ribiere technique.dir_k = -gradient (x) + beta * dir_k-1
maximize f(x) subject to g(x) <= 0 [ optionally g(x) == 0 ]
-
class
GoldenSectionLS
extends AnyRef
The
GoldenSectionLS
class performs a line search on f(x) to find a maximal value for 'f'.The
GoldenSectionLS
class performs a line search on f(x) to find a maximal value for 'f'. It requires no derivatives and only one functional evaluation per iteration. A search is conducted from 'x1' (often 0) to 'xmax'. A guess for 'xmax' must be given, but can be made larger during the expansion phase, that occurs before the recursive golden section search is called. It works on scalar functions (seeGoldenSectionLSTest
). If starting with a vector function 'f(x)', simply define a new function 'g(y) = x0 + direction * y' (seeGoldenSectionLSTest2
). -
class
Hungarian
extends AnyRef
The
Hungarian
is an O(n^3) implementation of the Hungarian algorithm (or Kuhn-Munkres algorithm). Find the maximum cost set of pairings between 'm' x-nodes (workers) and 'n' y-nodes (jobs) such that each worker is assigned to one job and each job has at most one worker assigned. It solves the maximum-weighted bipartite graph matching problem.The
Hungarian
is an O(n^3) implementation of the Hungarian algorithm (or Kuhn-Munkres algorithm). Find the maximum cost set of pairings between 'm' x-nodes (workers) and 'n' y-nodes (jobs) such that each worker is assigned to one job and each job has at most one worker assigned. It solves the maximum-weighted bipartite graph matching problem.maximize sum i = 0 .. m-1 { cost(x_i, y_i) }
Caveat: only works if 'm <= n' (i.e., there is at least one job for every worker).
-
class
IntegerProg
extends AnyRef
The
IntegerProg
class solves Integer Linear Programming (ILP) and Mixed Integer Linear Programming (MILP) problems recursively using the Simplex algorithm.The
IntegerProg
class solves Integer Linear Programming (ILP) and Mixed Integer Linear Programming (MILP) problems recursively using the Simplex algorithm. First, an LP problem is solved. If the optimal solution vector x is entirely integer valued, the ILP is solved. If not, pick the first 'x_j' that is not integer valued. Define two new LP problems which bound 'x_j' to the integer below and above, respectively. Branch by solving each of these LP problems in turn. Prune by not exploring branches less optimal than the currently best integer solution. This technique is referred to as Branch and Bound. An exclusion set may be optionally provided for MILP problems. FIX: Use the Dual Simplex Algorithm for better performance.Given a constraint matrix 'a', limit/RHS vector 'b' and cost vector 'c', find values for the solution/decision vector 'x' that maximize the objective function 'f(x)', while satisfying all of the constraints, i.e.,
maximize f(x) = c x subject to a x <= b, x >= 0, x must be a vector of integers
Make b_i negative to indicate a ">=" constraint
-
class
RevisedSimplex
extends Error
The
RevisedSimplex
class solves Linear Programming (LP) problems using the Revised Simplex Algorithm.The
RevisedSimplex
class solves Linear Programming (LP) problems using the Revised Simplex Algorithm. Given a constraint matrix 'a', constant vector 'b' and cost vector 'c', find values for the solution/decision vector 'x' that maximize the objective function 'f(x)', while satisfying all of the constraints, i.e.,maximize f(x) = c x subject to a x <= b, x >= 0
The revised algorithm has benefits over the Simplex Algorithm (less memory and reduced chance of round off errors).
- See also
math.uc.edu/~halpern/Linear.progr.folder/Handouts.lp.02/Revisedsimplex.pdf
-
class
Simplex2P
extends Error
The
Simplex2P
class solves Linear Programming (LP) problems using a tableau based Simplex Algorithm.The
Simplex2P
class solves Linear Programming (LP) problems using a tableau based Simplex Algorithm. Given a constraint matrix 'a', limit/RHS vector 'b' and cost vector 'c', find values for the solution/decision vector 'x' that maximize the objective function 'f(x)', while satisfying all of the constraints, i.e.,maximize f(x) = c x subject to a x <= b, x >= 0
In case of 'a_i x >= b_i', use '-b_i' as an indicator of a '>=' constraint. The program will flip such negative b_i back to positive as well as use a surplus and artificial variable instead of the usual slack variable, i.e., a_i x <= b_i => a_i x + s_i = b_i // use slack variable s_i with coefficient 1 a_i x >= b_i => a_i x + s_i = b_i // use surplus variable s_i with coefficient -1 For each ">=" constraint, an artificial variable is introduced and put into the initial basis. These artificial variables must be removed from the basis during Phase I of the Two-Phase Simplex Algorithm. After this, or if there are no artificial variables, Phase II is used to find an optimal value for 'x' and the optimum value for 'f'.
Creates an MM-by-nn simplex tableau with -- [0..M-1, 0..N-1] = a (constraint matrix) -- [0..M-1, N..M+N-1] = s (slack/surplus variable matrix) -- [0..M-1, M+N..nn-2] = r (artificial variable matrix) -- [0..M-1, nn-1] = b (limit/RHS vector) -- [M, 0..nn-2] = c (cost vector)
Value Members
-
object
ConjGradientTest
extends App
The
ConjGradientTest
object is used to test theConjGradient
class. -
object
GoldenSectionLSTest
extends App
The
GoldenSectionLSTest
object is used to test theGoldenSectionLS
class on scalar functions. -
object
GoldenSectionLSTest2
extends App
The
GoldenSectionLSTest2
object is used to test theGoldenSectionLS
class on vector functions. -
object
Hungarian
The
Hungarian
companion object supplies factory methods to create a cost matrix and build aHungarian
object suitable to solving an assignment problem. -
object
HungarianTest
extends App
The
HungarianTest
object is used to test theHungarian
class.The
HungarianTest
object is used to test theHungarian
class. > run-main scalation.maxima.HungarianTest -
object
HungarianTest2
extends App
The
HungarianTest2
object is used to test theHungarian
class.The
HungarianTest2
object is used to test theHungarian
class. > run-main scalation.maxima.HungarianTest2 -
object
IntegerProgTest
extends App
The
IntegerProgTest
object is used to test theIntegerProg
class.The
IntegerProgTest
object is used to test theIntegerProg
class. real solution x = (2.25, 3.75), f = 41.25 integer solution x = (0, 5), f = 40- See also
web.mit.edu/15.053/www/AMP-Chapter-09.pdf
-
object
RevisedSimplexTest
extends App
The
RevisedSimplexTest
tests the Revised Simplex Algorithm class with the following maximization problem: Maximize z = 2x_0 + 3x_1 + 4x_2 Subject to 3x_0 + 2x_1 + 1x_2 + 1y_3 + 0y_4 = 10 2x_0 + 5x_1 + 3x_2 + 0y_3 + 1y_4 = 15 where z is the objective variable, x are the decision variables and y are slack variables. -
object
Simplex2PTest
extends App
The
Simplex2PTest
object is used to test theSimplex2P
class.


Typing labels and values can be one of the more tedious tasks in creating a Microsoft Excel worksheet. For example, in making a budget, you often label cells with the names of the months. The Fill Series feature in Excel makes it easy to enter values into many cells with just a few clicks. You determine whether the cells should contain steadily increasing or decreasing values (based on linear or geometric changes), or values based on trends or numbers already found in cells.
Filling a series is one of the most time-saving features in Excel.
Filling a Linear Series
In a linear series, each cell differs from the previous cell by a fixed amount. Suppose, we want to generate a list of serial numbers starting from 1 to 10 in the range of cells A1:A10.
To generate, such a series, follow the given setps :-
1. In Excel, enter the starting value 1 in cell A1 and 2 in cell A2. Next, you either select the cells that will hold the range, either across one row or down one column. In our case, it is the range of cells A1:A10.
2. From, Edit Menu,select the option Fill and the sub-option Series.
3. In the Series Dialog Box, specify the Step Value and the Stop Value.
The Series dialog box contains four sections as given below :-
a) The Option buttons in the Series section determine whether the fill will occur across a row or down a column.
b) The Type section lets you choose how you want the cells to be filled.
c) The Date unit section applies only when you choose Date as the series type.
d) Finally, the bottom portion of the dialog box gives you the option of letting Excel base the series on values in the cells or the start and stop numbers you enter.
Text Series
Many series can be filled without even using the Series dialog box. Dragging the right handle of a cell with data causes Excel to apply AutoFill, which is an intelligent guess as to what values or labels should fill the series. For example, suppose we enter the month "January" in cell B1. Then the bottom right handle of the cell is dragged to B10. When the mouse button is released, the months from "January" to "October" appear automatically. Similarly, you can create a list of weekdays also.
Excel knows how to Autofill months (January or Jan) and days of the week (Monday or Mon). You can teach Excel to Autofill other text series by going to Tools Menu and creating a Custom List under Options Tab.
Date Series
To fill up a range of cells with a series containing dates only, we can use the following steps :-
1. In Excel, in the cell C1, enter the first value 9-Nov-2009.
2. Next, you either select the range of cells that will hold the range. In our case, it is the range of cells C1:C10.
3. From Edit Menu, select the option Fill and the sub-option Series.
4. In the Series Dialog Box, from the Type Section select Date.
5. Let Step Value be 1(default).
6. The actual date series to be generated depends upon Date Unit. Choose an appropriate date unit such as Month.
7. Click OK.


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We Offer A No Ending Property Listing Service To Customers By Providing Them With A Platform For Them To Upload Video Tour Of Their Properties, Eye Catching Image Gallery Display. We Also Provide Multi-Platforms Listings(Propty360
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A recent address (November 11,2015) by Shyam Saran, one of India’s distinguished diplomats, at the Lowy Institute for International Policy, Sydney, Australia outlines a panoramic perspective of ‘how India looks at the world around’. According to Saran, two events viz. the partition of the subcontinent in 1947 and the annexation of Tibet by China in 1950 have ‘imparted a complex dimension to India’s efforts to resolve its subcontinental dilemma, particularly with the emergence of a hostile Sino-Pakistan strategic alliance which also has a nuclear dimension.’
He views Indian subcontinent and the ocean space around it as a single geopolitical possessing a ‘strategic singularity’. Notwithstanding an absence of a shared security perception amongst the constituent sovereign states of the region he feels ‘India’s strategic compulsions are still defined by subcontinental imperatives.’ He therefore advocates using ‘a mix of political, security, and economic and cultural policies to create a dense web interdependencies which, over time, lead to the alignment of security perspectives with that of India.’ Underlying objective of such a composite approach, in his view, would be to ‘transcend borders, not to erase them and transform a contested space into enjoying relative harmony and a broad political consensus.’
Tracing India’s journey since Independence under Nehru’s stewardship to the modern era, Saran refers to discernible shifts in recent years of the centre of the global economy towards the Asia-Pacific even as ‘the International financial and banking sector continue to be anchored in the West and operates according to the rules of the game evolved in West over a considerable period of time.’
Drawing attention to impact of technology, he mentions how ‘national or regional boundaries provide no barriers to the swift spread of information and disinformation affecting markets, societies and therefore, inter-state relations.’ He opines that ‘States with significant capabilities in these domains will have an advantage in navigating the emerging geopolitical terrain.’
He foresees no early transformation of ‘adversial relations’ with China and Pakistan. While envisaging India’s ‘major preoccupations’ to remain focused on its ‘immediate and extended neighbourhood’, he predictably views its engagement with other major powers will make positive impact in managing its neighbourhood. He ends his speech on an optimistic note about India’s global future albeit with a with a few cautionary riders.
Click here to read the full article
The text is reproduced courtesy Lowy Institute of International Policy, Sydney, Australia.
(Shri Shyam Saran is a former Foreign Secretary of India and former Chairman of the National Security Advisory Board, Government of India. He is currently with the Lowy institute, Australia as ‘2015 Telstra Distinguished International Fellow’.)


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Adjust the focus coordinates and the equation of the directrix to make the blue parabola match the orange parabola.
All points on the blue parabola are equidistant from the focus and the directrix. How does changing the numbers affect the shape of the parabola?
graphInit({
range: 10,
scale: 20,
tickStep: 1,
axisArrows: "<->"
});
// Plot the orange parabola
style({
stroke: "#FFA500",
fill: "none",
clipRect:[ [-10, -10], [20, 20] ],
arrows: null
});
plot( new Parabola( A, X1, Y1 ).graphieFunction, [-10, 10]);
style({
stroke: "#6495ED",
strokeWidth: 3,
fill: "none",
clipRect:[ [-10, -10], [20, 20] ],
arrows: null
});
graph.currParabola = new Parabola( 1, 0, 0 );
graph.currParabola.plot( true );


Class ODataQueryFilterComparator
Description of ODataQueryFilterBase
- ODataQueryFilterBase
- ODataQueryFilterComparator
public
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public
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public
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public
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public
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parse2()
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public
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$not
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public
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$op
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public
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$left
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public
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$right
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