This tool works with a layer of point features and a layer of area features. It first determines which points fall within each area. After determining this point-in-area spatial relationship, statistics about all points in the area are calculated and assigned to the area. The most basic statistic is the count of the number of points within the area, but you can get other statistics as well.
For example, suppose you have point features of coffee shop locations and area features of counties, and you want to summarize coffee sales by county. Assuming the coffee shops have a TOTAL_SALES attribute, you can get the sum of all TOTAL_SALES within each county, or the minimum or maximum TOTAL_SALES within each county, or the standard deviation of all sales within each county.
The result is a map where the color of each area is based on the total number of points divided by the size of the area. Dividing counts by area is known as normalization, and it is a technique cartographers always use to display data by areas. Normalization helps to better understand spatial patterns because the size of the area is taken into account when areas are visually compared to each other.
If Use current map extent is checked, only the features in the input point layer and area layer visible within the current map extent will be analyzed. If unchecked, all features in both the input point layer and the area layer will be analyzed, even if they are outside the current map extent.
The point layer that will be aggregated into the areas.
In addition to choosing a layer from your map, you can select Choose Living Atlas Analysis Layer or Choose Analysis Layer found at the bottom of the drop-down list. This opens a gallery containing a collection of layers useful for many analyses.
The area layer to which the points will be aggregated. Any points that fall within the boundaries of areas in this layer will be counted and optionally summarized using your choices of statistics.
In addition to choosing a layer from your map, you can select Choose Living Atlas Analysis Layer or Choose Analysis Layer found at the bottom of the drop-down list. This opens a gallery containing a collection of layers useful for many analyses.
Determines whether areas that have no points within them appear in the result layer. If unchecked, areas without points will not appear in the result. If checked, areas without points will appear in the result.
You can calculate statistics about attributes of the input point layer such as sum, mean, minimum, maximum, and standard deviation. The result layer will contain a new attribute for each statistic calculated. Any number of statistics can be added by choosing an attribute and statistic (a new drop-down box will appear).
You can create statistical groups using an attribute in the input point layer. For example, if you are aggregating crimes to neighborhood boundaries, you may have an attribute Crime_type with five different crime types. Each unique crime type forms a group, and the statistics you choose will be calculated for each unique value of Crime_type. The statistics for each group, as well as the count of points, will be displayed in the result layer's pop-up. When you choose a grouping attribute, two results are created: the result layer and a result table containing the statistics for each unique group.
This checkbox is enabled when you choose a field to group by. If you want to find out which attribute values within each group are the minority (least dominant) or the majority (most dominant) within each boundary, select Add minority, majority. When you select Add minority, majority, two new fields are added to your result layer. If you also select Add percentages, two additional fields are added to the result layer containing the percentages of the minority and majority attribute values within each group.
For example, if you are a city planner and you want to find out which tree species are in the minority and which are in the majority within all city parks, aggregate your tree data with your park areas and check this option.
This check box is enabled when you choose a field to group by. Select Add percentages if you want to find the percentage of each attribute value within each group. A new field is added to the result table containing the percentages of each attribute value within each group. If Add minority, majority is also checked, two additional fields are added to the result layer containing the percentages of the minority and majority attribute values within each group.
This is the name of the layer that will be created in My Content and added to the map. The default name is based on the tool name and the input layer name. If the layer already exists, you will be asked to provide another name.
Using the Save result in drop-down box, you can specify the name of a folder in My Content where the result will be saved.


Career Profile
I am passionate open-source advocate and loves being on the bleeding edge (I have built my own hadoop cluster from source), I have used multiple container orchestration platforms (Openshift, Kubernetes, Rancher) and I have containerised pretty much everything from minecraft servers / tile-servers to eclipse.
I have developed custom applications in many different languages from Java Python and Golang for backend technologies to React and Angular in the Frontend. I have a strong Devopps focus building custom CI platforms that uses ansible for testing application with many external depenancies.
Building scalable systems from scratch and choosing the best technology for each component is where I thrive.
Skills & Proficiency
Ansible
Docker
Go
Java
Javascript
Python
Projects
Here is a list of some of the stuff I am working on in my free time:
Experiences
Sysadmin of small production network configured Cisco/Fortinet firewalls, Windows AD servers
Research ELK Stack usecases inside Qinetiq
Created Custom Kibana plugin
Custom Signal Processing framework using REDHAWK SDR, MongoDB, Docker Containers for horizontal scalability
Custom UI Fronted to the Analytic platform in React
Designed a Big Data modular streaming Architecture.
Worked on Perl Manufacturing Management Platform
Installation and configuration of multiple Openstack Clusters in worldwide data centers
Implement a big data Analytic platform that uses Logstash, Scala/Spark and MongoDB
Custom UI Fronted to the Analytic platform written in Angualrjs and custom D3 Visualization
I worked on a Laravel PHP project where my main responablilty was to add the Land Registry integration which require building acustom XML parser to interact with SOAP API
At Sureview my responsibilty was to create an Android App that provides mobile access to real time event data for users of Immix® Cloud. It also needed to view event video, recorded audit trails,access live camera feeds, and event reports.


Downloading and Installing SML/NJ
This page will discuss how to obtain and install the SML/NJ system.
- How do I get the Windows version?
-
See
windows distribution instructions.
| SML/NJ Home page
|
Send your comments or questions to .
Created by David MacQueen
on Wednesday, 9 Apr 1997.
Last modified: Wed Apr 9 15:14:12 EDT
Copyright © 1997,
Lucent Technologies; Bell Laboratories.


One of D3's most important and useful concepts is the scale, which is a function that maps an input domain to an output range.1
We've changed our slider so instead of sliding between values of 0 and width
it now slides between 0 and 100. We'd still like our circle to move all the way across, so we need a way to define that a value of 50 is equal to a x position that's 50% across.
In graphics libraries like p5.js, there usually a map()
function for this. D3 goes beyond that to provide a sophisticated system for generating map functions. Calling var x = d3.scaleLinear()
2, doesn't return a value, it returns a function that you can call as x()
.3
Calling the domain()
and range()
functions on x
will set the input domain and output range for x
.4 This is useful since attr()
takes functions as a parameter, so we can write .attr("cx", x)
. This is equivalent to .attr("cx", function(d){return x(d);})
but much more concise.
For x
, we are using a linear scale, which maps values linearly from the domain to the range. 0 is mapped to 0, 50 is mapped to 50% of width
, and 100 is mapped to width
.
For y
, we're using d3.scalePow()
, a power scale. If we set the exponent()
to 2, interpolates between 0 and 1 with exponential growth.
We've added a c
scale for color, which is a d3.scaleSequential
. These scales map from a domain to a specific range defined by a provided interpolator function. We're using the d3.interpolateInferno
interpolator, which returns specific CSS colors as the range.
For more information on the rationales behind D3 scales, see Mike Bostock's article introducing D3 Scale. ↩
In D3 v.4, Many of the method names have been changed as part of an effort to break the D3 library into reusable parts. Many of the examples that you see online will use d3.scale.linear
instead of d3.scaleLinear
. For information on this and other changes in D3 v.4, see this amazing postmortem by Mike Bostock: What Makes Software Good. ↩
In Javascript, all functions are first class objects, so they can be stored in variables, manipulated, have properties assigned to them, and everything else that you can do with a standard object. D3 uses this capability constantly—it's one of the things that makes D3 so powerful, but also so confusing to people coming from languages like C. For a useful overview of functions as first class objects, see this article. ↩
Yes, this is calling a function property assigned to a function object that sets properties on itself. Javascript is a powerful, strange language, and D3 takes full advantage of it. ↩
This code block is preceded by initialization code that defines parent
, svg
, margin
, width
, & height
.


{% extends 'base.html' %} {% block bodyblock %}
Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene.Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars.


--- layout: post title: How to reset the thermostat on a Lamona HJA89701 integrated washer dryer date: 2014-09-12 13:11:56.000000000 +01:00 type: post published: true status: publish categories: [] tags: [] meta: _edit_last: '1' _wpas_done_all: '1' tmac_last_id: '618797294041718784' _pingme: '1' _encloseme: '1' author: David Simpson excerpt_separator: ---
Filed under note to self. I have a Howdens/Lamona HJA89701 -1400rpm Integrated Washer Dryer. The dryer bit stopped working, so I sent for the repair man. The first guy agreed it wasn't drying but sent for backup. Who arrived several days later.
The backup guy unscrewed the top and pressed a red button to reset the thermostat. Job done.
This may happen again. It's really easy to fix. Just pop the top off and press the red button (marked). The photo below is taken from above the machine.
It may last a bit longer now. Also, this post may save someone a call out fee or just time waiting around for an engineer to show up.
Update: This was just masking the real problem. The dryer unit has a plastic condensation chamber. This was filled to the brim with fluff from clothes after less than 2 years. Apparently the previous model would stop drying after about 3 months if you routinely dried towels in it. Great.
Emptying the fluff meant that it worked again for another day. Beware, the professional repair man spent nearly an hour refitting this part, so it may be quite difficult to refit.


Sales is activity related to selling or the amount of goods or services sold in a given time period. The seller or the provider of the goods or services completes a sale in response to an acquisition, appropriation, requisition or a direct interaction with the buyer at the point of sale. There is a passing of
Purchasing refers to a business or organization attempting to acquire goods or services to accomplish its goals. Although there are several organizations that attempt to set standards in the purchasing process, processes can vary greatly between organizations. Typically the word “purchasing” is not used interchangeably ...
Human resources are the people who make up the workforce of an organization, business sector, or economy. "Human capital" is sometimes used synonymously with "human resources", although human capital typically refers to a more narrow view (i.e., the knowledge the individuals embody and economic growth).
| Name | Age | salary |
|---|---|---|
| Anil kumar | 23 | 2354325 |
| Anil kumar | 23 | 2354325 |
| Anil kumar | 23 | 2354325 |


Problem 5. nbsp
Write a function that replaces non breaking white-spaces in a text with
You could use Chrome console (F12) or Firebug to see the results.


| boxCoxVariable {car} | R Documentation |
Computes a constructed variable for the Box-Cox transformation of the response variable in a linear model.
boxCoxVariable(y)
y |
response variable. |
The constructed variable is defined as y[log(y/y') -1], where
y' is the geometric mean of y
.
The constructed variable is meant to be added to the right-hand-side of the linear model. The t-test for the coefficient of the constructed variable is an approximate score test for whether a transformation is required.
If b is the coefficient of the constructed variable,
then an estimate of the normalizing power transformation based on the score statistic
is 1 - b. An added-variable plot for the constructed
variable shows leverage and influence on the decision to transform y
.
a numeric vector of the same length as y
.
John Fox<EMAIL_ADDRESS>Atkinson, A. C. (1985) Plots, Transformations, and Regression. Oxford.
Box, G. E. P. and Cox, D. R. (1964) An analysis of transformations. JRSS B 26 211–246.
Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.
Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.
boxcox
, powerTransform
, bcPower
mod <- lm(interlocks + 1 ~ assets, data=Ornstein) mod.aux <- update(mod, . ~ . + boxCoxVariable(interlocks + 1)) summary(mod.aux) # avPlots(mod.aux, "boxCoxVariable(interlocks + 1)")


Lookup embedding results, accounting for invalid IDs and empty features.
tf.compat.v1.nn.safe_embedding_lookup_sparse( embedding_weights, sparse_ids, sparse_weights=None, combiner='mean', default_id=None, name=None, partition_strategy='div', max_norm=None )
The partitioned embedding in embedding_weights
must all be the same shape
except for the first dimension. The first dimension is allowed to vary as the
vocabulary size is not necessarily a multiple of P
. embedding_weights
may be a PartitionedVariable
as returned by using
tf.compat.v1.get_variable()
with a
partitioner.
Invalid IDs (< 0) are pruned from input IDs and weights, as well as any IDs
with non-positive weight. For an entry with no features, the embedding vector
for default_id
is returned, or the 0-vector if default_id
is not supplied.
The ids and weights may be multi-dimensional. Embeddings are always aggregated along the last dimension.
embedding_weights
: A list of P
float Tensor
s or values representing
partitioned embedding Tensor
s. Alternatively, a PartitionedVariable
created by partitioning along dimension 0. The total unpartitioned shape
should be [e_0, e_1, ..., e_m]
, where e_0
represents the vocab size
and e_1, ..., e_m
are the embedding dimensions.sparse_ids
: SparseTensor
of shape [d_0, d_1, ..., d_n]
containing the
ids. d_0
is typically batch size.sparse_weights
: SparseTensor
of same shape as sparse_ids
, containing
float weights corresponding to sparse_ids
, or None
if all weights are
be assumed to be 1.0.combiner
: A string specifying how to combine embedding results for each
entry. Currently "mean", "sqrtn" and "sum" are supported, with "mean" the
default.default_id
: The id to use for an entry with no features.name
: A name for this operation (optional).partition_strategy
: A string specifying the partitioning strategy. Currently
"div"
and "mod"
are supported. Default is "div"
.max_norm
: If not None
, all embeddings are l2-normalized to max_norm before
combining.Dense Tensor
of shape [d_0, d_1, ..., d_{n-1}, e_1, ..., e_m]
.
ValueError
: if embedding_weights
is empty.


A pure JavaScript version of the service provided at jsonlint.com.
Validate reformat JSON
project on github


1"
class="info-box"
fxLayout="row"
fxLayoutAlign="space-between center"
>
Split Equally
The deposits should not be negative
The selected token network only supports up to
{{ tokenFormControl.value.decimals }} decimals
The deposits should be valid numbers
Cannot distribute more than the total deposit
No suggestion is selected


The web consists of 4 components: users, a computer with a browser, the internet, and servers.
The browser makes a request, via the internet, to servers. The internet communicates with the servers using HTTP. The servers respond with files which the browser displays.
See this video for a more in depth explanation of the web.
HTML is short for "HyperText Markup Language". HTML consists of text content, markup (tags and elements), references to other documents (images and video) and links.
A few examples of tags are bold, italics, anchor (for links) and image (this is a void tag- doesnt require a closing tag).
Tags can also have attributes. For instance, the anchor tag has the attribute href. This is used for creating links. Image tags have the attributes src (for url) and alt (for text when image doesnt load).
br (line break) is an inline element while p is a block element. Block
elements form an "invisible box" around the content inside of
them.
Span is inline while Div is a block element. These elements don't do anything besides contain content, but you can attach styles to them to affect the display of the content. You do this by adding CSS classes.
A front end web developer will receive a design markup from the graphic design team. The front end developer needs to turn that design into a webpage.
Three elements make up the conceptual design of a website:
1. HTML
2. CSS
3. Java
The browser builds a tree-like structure of a page. This is a branching structure that is made up of HTML elements.
HTML is like a language. It has syntax and rules. HTML tags are elements in the tree-like structure.
DOM (document object model) is the tree-like structure.
CSS creates the style of a page. It dictates how the elements will look on the page.
Everything on a webpage is a box. This is helpful for a front end web developer because you can rearrange these boxes if you want to change the look of a webpage. You start with the big boxes and then work towards the smaller ones.
An important concept in CSS is to not repeat code. This helps programmers avoid errors and it increases consistency throughout the document.
Adding Style
In terms of structure, add doctype to the top of the document (HTML). Also, add a head tag, and put the CSS within the head tag. Then the body tag. In scratchpad, instead of a head tag, you can use a style tag for CSS.
Understanding CSS
CSS = Cascading Style Sheets. You can have several style sheets referenced in HTML. The sheets are "cascading" because the most specific rule is applied to every element.
Everything on a page is a box.
Boxes are made up of a margin, border, padding, and content. The border box element is used to make calculating box size easier.
Flex box is used for positioning boxes next to each other.
1. Look for natural boxes
2. Look for repeated styles and semantic elements
3. Write HTML
4. Apply styles (from biggest to smallest)
5. Fix things


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MEXICO
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temipes
Cav.
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temipes
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Sanchez-Ken
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NEW
YORK
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GARDEN
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THE
BAHAMAS
Great
Sturrup
Cay,
Berry
Islands
New
York
Botanical
Garden
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L.
BRITTON
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F.
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Collectors
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XT
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botanical
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Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


The capabilities provided by the client (editor or tool)
Information about the client
The name of the client as defined by the client.
The client's version as defined by the client.
User provided initialization options.
The locale the client is currently showing the user interface in. This must not necessarily be the locale of the operating system.
Uses IETF language tags as the value's syntax (See https://en.wikipedia.org/wiki/IETF_language_tag)
The process Id of the parent process that started the server.
The rootPath of the workspace. Is null if no folder is open.
The rootUri of the workspace. Is null if no
folder is open. If both rootPath
and rootUri
are set
rootUri
wins.
The initial trace setting. If omitted trace is disabled ('off').
An optional token that a server can use to report work done progress.
Generated using TypeDoc
The initialize parameters


Homebrew Buddy
90
:
00
Start
Stop
Add
Delete?
Delete
Cancel
Add Ingredient
Name
Amount (oz)
Drop Time (mm:ss)
Add
Cancel


Our extensive course catalog has more than 2,200 professional development opportunities for you and your team to sharpen your skills and optimize business operations. Because technology is always changing and competition id fierce, we give you the tools to position yourself as the "go-to" source in the marketplace. Our experts know the ins and outs of the latest technilogies and products. So whether you're diving into analytics and data management, looking to the cloud or ensuring you professional certifications are up to date, we're here for you.


Concept of a Vector
-
Vectors
A quantity a (represented by arrows) that have both a length (magnitude) and direction. The length of a vector is the distance from its initial point P to its final point Q (These points can also be represented by A for head and B for tail). A vector is represented by , the arrow above the components indicates that it is a vector quantity.
Example of a Vector The tail of a vector is its origin and the head is the endpoint.Vectors can be in component form (a,b) or in the coordinate plane. -
Magnitude
The magnitude of a vector refers to its length and is represented by
∣∣.The length of a vector is determined by Pythagoras' Theorem whereby = √x2 + y2. After finding the square root of the two components which can also be represented by √a2 + b2, the result is simply added to get the magnitude or length of the vector in component form or in the plane.The magnitude is the length from the tail to the head of the vector v⃗.
-
Unit Vector
Vector of length 1 or ∣u∣ = 1. A unit vector can start with any vector except the zero vector. The formula for the unit vector is obtained by dividing a vector by a magnitude, u = AB⃗ ∕ ∣∣.
Checking to ensure that the length of u is really 1, ∣u∣ = ∣ ∕ ∣AB∣ = ∣ ∕ ∣ = 1.
-
Direction
The direction of a vector is obtained by finding the angle of the vector. The angle is obtained using the following formula, θ = tan -1 ₍b ∕ a₎.
-
Scalar
A scalar is a real number, while vectors are not real numbers. A scalar has a size or length but no direction, while vectors have both a length and direction.
Scalar Multiples
Multiplying a scalar by a positive number does not affect its direction of the vector, just its length. However, multiplying by a negative number changes the direction to the opposite side, multiplying by 0 causes a vector to lose all direction.
-
Parallel Vectors
A parallel vector or zero vector comprises of two vectors with the same direction and are scalar multiples of each other.The cross product of a vector determines whether it is parallel, if it equals 0 or a×b = 0. The scalar multiply or cross product of two or more vectors is represented by the formula = (a2b3 − a3b2 ) − (a1b3 − a3b1) + (a1b2 − a2b1).
∴ a = (1,2,3), b = (3,2,1) then a×b = (2 x 1 - 3 x 2) - (1 x 1 - 3 x 3) + (1 x 2 - 2 x 3) = (-4) - (-8) + (-4) = 0. -
Equal Vectors
Like the parallel vector, equal vectors have the same direction, however, they also have the same magnitude. With an equal vector, = . Therefore, where a = (2; 8; 1) and b = (2; 8; 1) are equal.
Solution:
Verify the equality of components of vectors
a1 = b1 = 2
a2 = b2 = 8
a3 = b3 = 1
-
Inverse Vectors
Inverse vectors have the same length (magnitude) but the direction of one vector is in the opposite direction. Each vector is therefore the inverse of the other. =


Sentiment Stays The Same
by Bespoke Investment GroupSummary
- Per AAII's weekly survey, bullish sentiment rose just 0.42 percentage points to 40.72% from 40.30% last week.
- The percentage of investors reporting as pessimistic rose 0.89 percentage points to 24.82%.
- Neutral sentiment moved the most this week falling 1.31 percentage points.
Despite a couple closes at all-time highs in the past week, the S&P 500 is currently right around the same levels as last Wednesday's close.  Per AAII's weekly survey, bullish sentiment rose just 0.42 percentage points to 40.72% from 40.30% last week. That small increase is in the bottom 5% of all week-over-week changes in bullish sentiment in the history of the data.
While little changed, the bulk of investors are still optimistic. Another sentiment survey from Investors Intelligence also echoed these results. In that survey released yesterday, 57.6% reported as bullish. While that is the highest reading since July, it is up only around half of one percent from last week.
Bearish sentiment was also little changed. The percentage of investors reporting as pessimistic rose 0.89 percentage points to 24.82%. Like bullish sentiment, the one-week change in bearish sentiment was small relative to history with this week's change sitting in the 7th percentile of all readings. This week also marked the fourth in a row that bearish sentiment has been below its historical average. That is the longest such streak since a seven-week run from the end of March to early May of this year.
Neutral sentiment moved the most this week falling 1.31 percentage points. Now at 34.46%, neutral sentiment is the lowest since early September and back in the middle of the past few years' range.
Editor's Note: The summary bullets for this article were chosen by Seeking Alpha editors.


Your URL is ready:
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Create a new collection of maturity indicators
{{collection['name']}}
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Please provide an informative, publicly-meaningful title for this collection with at least 35 characters.
Please provide an informative, publicly-meaningful title for this collection with at least 35 characters.
Contact ORCiD
Please provide an ORCID. If you dont have one, you can register at https://orcid.org/
Organization Name
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Description of the collection, please be sure to indicate the community(ies) to which this collection would be relevant
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- DD vs KKR
- |
- KXIP vs RCB
- Score : 6,792
- |
- Rank : 96318
- 10,000
- 10,00,000
- 23
- squad Balance
- Eleven Players
- Franchise Spread
- Overseas Limit
- Uncapped Quota
|
Sl
Sl
|
Role
Role
|
Player
Player
|
team
team
|
cost
cost
|
points
points
|
|
|---|---|---|---|---|---|---|
|
Role
Role
|
Player
Player
|
team
team
|
cost
cost
|
points
points
|
|---|


When citing sources, the
\cite
command must be placed before interpunction.
Example:
This is a beautiful sentence~\cite{someSource}.


Disclaimer: This is a beta version. The API can change, I recommend that you use it in new projects.
or
Import in src/main.ts


Question3.html
This program determines if a matrix is a diagonal matrix or not.
Press: "ctrl + shift + i"


{% if request.user.unlimited_access or request.user.harvard_access %}
Unmetered access:
{% if request.user.unlimited_access_until %}
{% if request.user.unlimited_access_in_effect %}expires{% else %}expired{% endif %}
{{ request.user.unlimited_access_until }}
{% else %}
approved
{% endif %}
{% if request.user.harvard_access and not request.user.harvard_ip %}
Your Harvard unmetered access will only work when accessing this website from a Harvard IP address.
Your current IP address of {{ request.user.ip_address }} is not a Harvard IP address.
{% endif %}
{% else %}
Case allowance per day:
{{ request.user.total_case_allowance }}
Cases left to view today:
{{ request.user.case_allowance_remaining }}
Unmetered access request:
{% if research_contract %}
You submitted an application for unmetered access on
{{ research_contract.user_signature_date|date:"F j, Y" }}.
{% if research_contract.status == "denied" %}
Your application was denied by LexisNexis. Please contact us if you would like to discuss further options.
{% else %}
Your application is pending.
{% endif %}
{% elif research_request %}
You submitted a request for unmetered access on {{ research_request.submitted_date }}
{% else %}
Request unmetered full-text access for research scholars
{% endif %}


Choose color.
Scan destination?
Social page... Web site...
Choose colors
Add logo / picture
Choose animation
Pay
Your email contains other sizes.
Unlocking your code...


--- layout: page title: Tolks ---
This is a talk I gave at work about software testing. Heavily inspired by multiple Justin Searls talks, POODR, previous work experience with DHS, and hoops.
This is a follow up talk I gave at work focusing on the actual act of testing. We had lots of fun with mob programming, stepping through a unit testing example by outputting the lyrics of 12 Days of Christmas.
This is a talk I gave at work exploring how classes are implemented in Ruby. Sauce is from a great book called Metaprogramming Ruby. I tried a Ruby Koans-esque approach to teaching it.
This is a small workshop I held at work to demo Vue by writing Tic-Tac-Toe.
This is a talk I gave at work introducing Elixir with the goal of also exploring functional programming concepts.


Reverberation Actor
Background
The artificial reverberation actor is based upon M. R. Schroeder's classical
comb/all-pass filter network reverberator, and some other sources described
at the end of this document. This kind of artificial reverberator is designed
to imitate both the time and frequency responses of real reverberation
of all sorts of environment, mainly enclosures like room and concert hall.
Based on acoustics and experiments, a lot factors characterize enclosure
reverberation. A network consists of cascaded reverberation units is appropriate
to realize these characteristics.
The reverberator always map all the channels of the sound source down to 1
before all calculation. The localization actor can be used AFTER the reverberator
to localize sound.
All the technical details of the reverberation network is described
in a separate file for more inquisitive users.
The following parameters can to be set by actor and handler messages for general
use:
| Parameter |
Message |
Valid range |
Description |
| Reverberation mix |
SetMix |
[0,1] |
The balance between dry (direct) and wet sound (reverberation). Setting
it to 1 yields purely wet, and 0 purely dry. |
| Reverberation gain |
SetGain |
[0,10] |
Scaling of reverberation sound BEFORE it is mixed with the dry sound.
The bigger value the louder reerberation. Be aware that clipping may occur
if the gain is too high. Combinations of reverberation gain and mix can
produce arbitrary distance perception of the sound source. |
| Reverberation time |
SetTime |
(0,1] |
Length of reverberation. The actual reverberation time depends on the
subtle interation between almost all parameters including revberation
mix, gain, time, brightness, and the volume that the sound is playing.
The bigger value the longer reverberation. With default values, set the
time to 1 will produce an approximate 15-second reverberation. |
| Reverberation brightness |
SetBright |
(0,1] |
Brightness of reverberation. The bigger value, the brighter reverberation
sounds. However, value greater than 0.4 is not recommended, because it
will lead to annoying ringing and metallic sound. A "warm" reverberation
can be produced by setting brightness low and raising the reverberation
gain. |
| Damp ratio |
SetDampRatio |
[1,30] |
Ratio of low-frequency reverberation time to high-frequency reverberation
time. For any kind of enclosure, high-frequency components of a sound decay
away faster than low-frequency components. The bigger value, the faster
high-frequency components die out than low-frequency components. |
The following table lists other parameters for more advanced user to
have more controls over the reverberation.
Please note one thing special about the early
reflection delays. The amount of delay of each early reflection
denotes the amount of milliseconds that reflection will be heard after
the PREVIOUS reflection, but not the original sound, with the exception
of the first reflection. So if there're 3 early reflections and their delays
are a, b, c respectively, they will be heard at a, a+b and a+b+c milliseconds
after the original sound. Also for saving memory, the maximum delay is
500ms. (With 22050Hz sampling rate, a 500ms float data delay line requires
22050*0.5*4 = 44KByte of memory. With maximum number of early reflections,
comb filters and all-pass filters, the ReverbActor requires about 313KB
memory.) If any reflection delay longer than 500ms is required,
multiple reflection delays can be added up, with the coefficients to be
zeroes except the last one, as the preset Canyon.
| Parameter |
Message |
Valid range |
Description |
| Input bandpass filter pole |
SetPole |
[-0.5,0.5] |
Pole position of the input bandpass filter. The bigger value, the low
center frequency of the filter. |
Early reflection
Number
Delay
Coefficients
|
SetEarlyRefNum
SetEarlyRefDelay
SetEarlyRefCoeff |
[0,6]
[0.1,500](ms)
[0,1] |
Parameters controlling early reflections. Early reflection is simply
a delayed and scaled version of the original sound. |
Comb filter
Number
Delay |
SetCombNum
SetCombDelay |
[0,6]
[0.1,100](ms) |
Parameters controlling comb filters. |
All-pass filter
Number
Delay |
SetAllPassNum
SetAllPassDelay |
[0,3]
[0.1,10](ms) |
Parameters controlling all-pass filters. |
To find the right combination of all the parameters
above for a specific kind of reverberation is not trivial. 5 presets are
provided as a starting point for further adjustment for individual requirements:
| Preset name |
Default
|
SmallRoom
|
Hall
|
Echo
|
Canyon
|
| Description |
Default values for a moderate reverberation with mininum computational
load. |
Reverberation in a small-size room. |
Reverberation in a midium-size hall. |
Reverberation with distinct echoes. |
Reverberation in a grand canyon. |
| Reverberation mix |
0.5 |
0.4 |
0.5 |
0.5 |
0.75 |
| Reverberation gain |
1. |
1. |
1. |
1. |
1.5 |
| Reverberation time |
0.3 |
0.2 |
0.5 |
0.5 |
0.7 |
| Reverberation brightness |
0.15 |
0.15 |
0.15 |
0.15 |
0.1 |
| Damp ratio |
1. |
5. |
8. |
8. |
10. |
| Pole |
0. |
0.25 |
0.25 |
0.25 |
0.45 |
Early reflection
Number
Delay
Coefficients |
2
20. 18.
.82 .63 |
5
20. 23. 30. 35. 39
.82 .82 .63 .72 .53
|
5
20. 23. 30. 35. 39
.82 .82 .63 .72 .53
|
0 |
6
500. 500. 450. 450. 400. 400.
0. .92 0. .8 0. .6
|
Comb filter
Number
Delay |
4
50. 56. 61 .68 |
6
50. 56. 61. 68. 72. 78.
|
6
50. 56. 61. 68. 72. 78.
|
1
100.
|
6
50. 56. 61. 68. 72. 78.
|
All-pass filter
Number
Delay |
1
6. |
1
6.
|
3
6. 1.7 .63
|
3
6. 1.7 .63
|
3
6. 1.7 .63
|
To play with all the parameters, use the standard testcase audpanel by
running make test at command prompt. Five message groups are dedicated
to adjust all parameters. The first contains all "global" parameters
including RevMix, RevGain, RevTime, RevBright, DampRatio, Pole, EarlyRefNum,
CombNum and AllPassNum. It is recommended to use the "hit" button
instead of check "Send when changed". The second message group
contains early reflection delays, the third for early reflection coefficients,
the fourth for comb filter and all-pass filter delays, the fifth for preset.
Usage
To use the reverberation actor, load reverb.so and create an
actor of type ReverbActor. Then create a handler of the actor
using BeginSound, and use SetInput to direct a sound
source through the reverberator. It is recommended to use sleep
command after creating a ReverbActor handler or setting preset to give
time for allocating memory and setup reverberator.
ReverbActor messages
In addition to the messages understood by all generator actors, the
ReverbActor understands the following messages:
- SetMix hActor x
- Set the default reverberation mix for new instances
createdby this actor to x. Valid range is [0,1].
- SetAllMix hActor x time
- Set the reverberation mix of all children to x, and set the
default effect mix for all future children. If time is
specified, children will modulate to the new value over the specified duration.
Default value is always set immediately regardless of time.
- SetTime hActor x
- Set the default reverberation time for new instances
created by this actor to x. Valid range is (0,1].
- SetAllTime hActor x time
- Set the reverberation time of all children to x, and set the
default value for all future children.
- SetGain hActor x
- Set the default reverberation gain for new instances
created by this actor to x. Valid range is (0,10].
- SetAllGain hActor x time
- Set the reverberation gain of all children to x, and set the
default value for all future children.
- SetBright hActor x
- Set the default reverberation brightness for new instances
created by this actor to x. Valid range is (0,1].
- SetAllBright hActor x time
- Set the reverberation brightness of all children to x, and set the
default value for all future children.
- SetDampRatio hActor x
- Set the default damp ratio for new instances
created by this actor to x. Valid range is [1,30].
- SetAllDampRatio hActor x time
- Set the damp ratio of all children to x, and set the
default value for all future children.
- SetPole hActor x
- Set the default pole for new instances
created by this actor to x. Valid range is [-0.5,0.5].
- SetAllPole hActor x time
- Set the pole of all children to x, and set the
default value for all future children.
ReverbActor handler messages
In addition to the messages understood by all handlers, the handler
for the ReverbActor understands the following messages:
- SetIdle hHandler boolean
- Set the handler idle state, 1 is idle, 0 is not. An idle handler doesn't do
anything except receiving messages until it is set not to be idle. SetIdle can
be used to reduce ReverbActor's machine usage when it is not currently in use.
- SetInput hHandler hSound
- Set the input to come through the handler hHandler.
- SetPreset hHandler x
- SetPresetNum hHandler x
- SetPresetFile hHandler x
- Set this handler to use preset x. Available presets
are described above. SetPreset accepts preset name Default, SmallRoom,
Hall, Echo or Canyon. SetPresetNum accepts preset number 0 to
4. SetPresetFile accepts preset data file name. A sample
data file is given.
- SetMix hHandler x time
- Set the reverberation mix to x.
If time is specified, move to the new value over the specified
duration.
- SetGain hHandler x time
- Set the reverberation gain to
x. Valid range is (0,10].
- SetTime hHandler x time
- Set the reverberation time to x.
Valid range is (0,1].
- SetBright hHandler x time
- Set the reverberation brightness
to x. Valid range is (0,1].
- SetDampRatio hHandler x time
- Set the damp ratio to x. Valid
range is [1,30].
- SetPole hHandler x time
- Set the pole to x. Valid range
is [-0.5,0.5].
- SetEarlyRefNum hHandler x
- Set the number of early reflections
to x. Valid range is [0,6]. 0 will let sound through directly. If no early
reflection delays and coefficients are specified afterwards, default values
will be used.
- SetEarlyRefDelay hHandler [x1 x2 x3 ...]
- Set the early reflection delays. Valid range is from [0.1,500](ms).
The number of delays must agree with the number previously set by SetEarlyRefNum.
If delays provided are less than the number of early reflections, default
values will be used. If more, the first several ones will be taken.
- SetEarlyRefCoeff hHandler [x1 x2 x3 ...]
- Set the early reflection coefficients. Valid range is [0,1]. The number
of coefficients must agree with the number previously set by SetEarlyRefNum.
If coefficients provided are less than the number of early reflections,
default values will be used. If more, the first several ones will be taken.
- SetCombNum hHandler x
- Set the number of comb filters
to x. Valid range is [1,6].
- SetCombDelay hHandler [x1 x2 x3 ...]
- Set the comb filter delays. Valid range is [0.1,100](ms). The number
of delays must agree with the number previously set by SetCombNum. If delays
provided are less than the number of comb filters, default values will
be used. If more, the first several ones will be taken.
- SetAllPassNum hHandler x
- Set the number of all-pass filters
to x. Valid range is [0,3]. 0 will let sound through directly. If no all-pass
delays are specified afterwards, default values will be used.
- SetAllPassDelay hHandler [x1 x2 x3 ...]
- Set the all-pass filter delays. Valid range is [0.1,10](ms). The number
of delays must agree with the number previously set by SetAllPassNum. If
delays provided are less than the number of all-pass filters, default values
will be used. If more, the first several ones will be taken.


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Base class for robust error models The robust M-estimators above simply tell us how to re-weight the residual, and are isotropic kernels, in that they do not allow for correlated noise.
They also have no way to scale the residual values, e.g., dividing by a single standard deviation. Hence, the actual robust noise model below does this scaling/whitening in sequence, by passing both a standard noise model and a robust estimator.
Taking as an example noise = Isotropic::Create(d, sigma), we first divide the residuals uw = |Ax-b| by sigma by "whitening" the system (A,b), obtaining r = |Ax-b|/sigma, and then we pass the now whitened residual 'r' through the robust M-estimator. This is currently done by multiplying with sqrt(w), because the residuals will be squared again in error, yielding 0.5 \sum w(r)*r^2.
In other words, while sigma is expressed in the native residual units, a parameter like k in the Huber norm is expressed in whitened units, i.e., "nr of sigmas".
|
|
| Robust () |
| | Default Constructor for serialization.
|
| |
|
| Robust (const RobustModel::shared_ptr robust, const NoiseModel::shared_ptr noise) |
| | Constructor.
|
| |
|
| ~Robust () override |
| | Destructor.
|
| |
| void | print (const std::string &name) const override |
| |
| bool | equals (const Base &expected, double tol=1e-9) const override |
| |
|
const RobustModel::shared_ptr & | robust () const |
| | Return the contained robust error function.
|
| |
|
const NoiseModel::shared_ptr & | noise () const |
| | Return the contained noise model.
|
| |
| Vector | whiten (const Vector &v) const override |
| | Whiten an error vector. More...
|
| |
| Matrix | Whiten (const Matrix &A) const override |
| | Whiten a matrix. More...
|
| |
| Vector | unwhiten (const Vector &) const override |
| | Unwhiten an error vector. More...
|
| |
| double | loss (const double squared_distance) const override |
| | Compute loss from the m-estimator using the Mahalanobis distance. More...
|
| |
|
virtual void | WhitenSystem (Vector &b) const |
| |
| void | WhitenSystem (std::vector< Matrix > &A, Vector &b) const override |
| |
| void | WhitenSystem (Matrix &A, Vector &b) const override |
| |
| void | WhitenSystem (Matrix &A1, Matrix &A2, Vector &b) const override |
| |
| void | WhitenSystem (Matrix &A1, Matrix &A2, Matrix &A3, Vector &b) const override |
| |
| Vector | unweightedWhiten (const Vector &v) const override |
| | Useful function for robust noise models to get the unweighted but whitened error. More...
|
| |
| double | weight (const Vector &v) const override |
| | get the weight from the effective loss function on residual vector v More...
|
| |
| | Base (size_t dim=1) |
| | primary constructor More...
|
| |
| virtual bool | isConstrained () const |
| | true if a constrained noise model, saves slow/clumsy dynamic casting More...
|
| |
| virtual bool | isUnit () const |
| | true if a unit noise model, saves slow/clumsy dynamic casting More...
|
| |
|
size_t | dim () const |
| | Dimensionality.
|
| |
|
virtual void | print (const std::string &name="") const =0 |
| |
|
virtual bool | equals (const Base &expected, double tol=1e-9) const =0 |
| |
| virtual Vector | sigmas () const |
| | Calculate standard deviations. More...
|
| |
| virtual Vector | whiten (const Vector &v) const =0 |
| | Whiten an error vector. More...
|
| |
| virtual Matrix | Whiten (const Matrix &H) const =0 |
| | Whiten a matrix. More...
|
| |
| virtual Vector | unwhiten (const Vector &v) const =0 |
| | Unwhiten an error vector. More...
|
| |
| virtual double | squaredMahalanobisDistance (const Vector &v) const |
| | Squared Mahalanobis distance v'*R'*R*v = <R*v,R*v> More...
|
| |
|
virtual double | mahalanobisDistance (const Vector &v) const |
| | Mahalanobis distance.
|
| |
| virtual double | loss (const double squared_distance) const |
| | loss function, input is Mahalanobis distance More...
|
| |
| virtual void | WhitenSystem (std::vector< Matrix > &A, Vector &b) const =0 |
| |
|
virtual void | WhitenSystem (Matrix &A, Vector &b) const =0 |
| |
|
virtual void | WhitenSystem (Matrix &A1, Matrix &A2, Vector &b) const =0 |
| |
|
virtual void | WhitenSystem (Matrix &A1, Matrix &A2, Matrix &A3, Vector &b) const =0 |
| |
| virtual void | whitenInPlace (Vector &v) const |
| | in-place whiten, override if can be done more efficiently More...
|
| |
| virtual void | unwhitenInPlace (Vector &v) const |
| | in-place unwhiten, override if can be done more efficiently More...
|
| |
| virtual void | whitenInPlace (Eigen::Block< Vector > &v) const |
| | in-place whiten, override if can be done more efficiently More...
|
| |
| virtual void | unwhitenInPlace (Eigen::Block< Vector > &v) const |
| | in-place unwhiten, override if can be done more efficiently More...
|
| |
| virtual Vector | unweightedWhiten (const Vector &v) const |
| | Useful function for robust noise models to get the unweighted but whitened error. More...
|
| |
| virtual double | weight (const Vector &v) const |
| | get the weight from the effective loss function on residual vector v More...
|
| |


Home
FAQ: Frequently Asked Questions
GENERAL
Question: What is Qaelo?
Answer: Qaelo pronounced “Khayelo” is a freelancing website for students, graduates and young professionals, this platform allows freelancers to choose up to 3 out of more than 60 freelance options in order make money, build their CV’s and create a business from. With more than 2000 universities, Qaelo also allows the free listing of rooms, shops, events and groups per university in order to help students, graduates and young professionals find the best deals in town.
What is a freelancer?
Answer: A freelancer is a self-employed person that offers services to organisations, companies and the general community at a price set by the self-employed person.
Examples…
– Can you make people laugh? Through Qaelo you can freelance (offer a service as a self-employed person) as a comedian and charge organisations, companies and the general community for your services when they hire you.
– Can you look after children? Through Qaelo you can freelance (offer a service as a self-employed person) as a babysitter and charge parents for looking after their kids as they go out to dinner or late events.
– Are you good in accounting? Through Qaelo you can freelance (offer a service as a self-employed person) as a bookkeeper and help start-ups and small businesses with their tax returns etc.
Question: Who is Qaelo meant for?
Answer:
1. Qaelo is meant for students, graduates and young professionals as a channel for them to earn extra income from freelance activities.
2. This service is also meant for the community, both the business and household communities to find affordable freelance service providers such as babysitters and more.
3. Thirdly, Qaelo is meant for property landlords and agents, shop owners and event managers to display, inform and advertise specials to students, graduates and young professionals about their products and services.
4. Lastly, Qaelo is meant for students, graduates and young professionals who’d like to create and run groups also known as Fraternities or student organisations.
Question: What does Qaelo mean?
Answer: Qaelo has no meaning, but is pronounced as “Khayelo”
Question: What profiles can be created on Qaelo?
Answer:
1. A freelancer profile
2. A property manager profile
3. A shop manager profile
4. An event manager profile
5. A group manager profile
How do I go about creating a profile on Qaelo?
Answer: Creating a profile on Qaelo is an easy 7 step process that should take about 2 minutes of your time to complete. Once on our website home page, you will click:
• Create a profile
• Enter your name
• Enter your surname
• Enter your email address
• Create your password
• Click on create profile
• Verify your profile on your email Inbox or Spam (last step)
Once your profile has been created, you will be able to fine-tune it to your liking.
Question: How do I search for stuff on Qaelo?
Answer: Say for example you need to find a room to rent around Kingsway Campus, University of Johannesburg; You will click Rooms on the Qaelo home page or once you’ve signed in, choose your university, choose the campus (if there is) and you will find a list of rooms available around that university campus. This search functionality is the same for all our listing channels, including:
1. Finding a freelancer
2. Buying a used textbook
3. Finding a shop
4. Finding a room to rent
5. Finding events around your institution
6. Finding a group AKA (fraternity or student organisation)
Question: How can I contact Qaelo?
Answer: Please email us at:
•
<EMAIL_ADDRESS>•
<EMAIL_ADDRESS>Question: What freelance options are there and how many options can I choose?
Answer: We currently offer more than 60 freelance options and you can choose up to 3 freelance options for your profile from the list below:
1. Accountant
2. Acting extra
3. Actor
4. Admin assistant
5. Animator
6. Babysitter
7. band
8. Bookkeeper
9. Business Incubator
10. Chauffer
11. Chef
12. Choreographer
13. Comedian
14. Dancer
15. Data analyst
16. Developer
17. Dog walker
18. Editor
19. Event DJ
20. Event MC
21. Event usher
22. Fashion designer
23. Film & TV specialist
24. Forex trader
25. Google ad-words expert
26. Google analytics consultant
27. Graphic designer
28. Hairdresser
29. High school sports coach
30. High school tutor
31. Historian
32. House keeper
33. Investor
34. Legal specialist
35. Logistics specialist
36. Makeup artist
37. Market researcher
38. Marketing assistant
39. Model
40. Motivational speaker
41. Personal assistant
42. Personal fitness trainer
43. Photographer
44. Pre-school tutor
45. Product promoter
46. Proof reader
47. Receptionist
48. Sales agent
49. Singer
50. Sketch & Portrait artist
51. Social network marketer
52. Tax administrator
53. Teacher assistant
54. Translator
55. University tutor
56. Voice over
57. Volunteer
58. Waiter
59. Waitress
60. Web designer
61. Writer
Question: How many used books can I sell in my store?
Answer: You can sell up to 8 books in your store; you will upload a picture of your textbook (from the internet because they have less Megabytes than the one’s from phone cameras), put a book description and the price that you are selling it for.
Question: How do I advertise myself on landlord’s profiles?
Answer: After you have signed in to your freelance profile, you will notice a button titled ADVERTISE TO LANDLORDS, click that button and complete the process.
Question: How much is it to advertise on Landlord’s profile and how does it work?
Answer:
• It is completely free to advertise yourself to landlords.
• This functionality is a way to help you find a room to rent easier because your free ad will mention how much rent you are willing to pay, your contact details and other useful information that the property manager will need to see if you qualify to stay in their property.
• Your ad will only be seen by landlords once they sign into their profile and can contact you if there is any available room to rent in their property. This ad will be seen by all landlords that have created their profiles under your institution.
• Please remember to delete your ad after you have found accommodation.
Question: I cannot see my profile on the website when I search for it, why?
Answer:After you have created your freelance profile, you will notice a green button titled
GO PUBLIC, once you press that button your profile will be public and viewable to potential clients.
Question: What happens when I click the button “GO PRIVATE” on my freelance profile?
Answer: Your profile will only be seen by you and you will not be seen by potential clients when they search for a freelancer that offers the services you also offer through Qaelo.com.
Question: What is the Qaelo Competition?
Answer:Create any profile with us between 30 July 2017 and 31 December 2018 and stand a chance to win any of the prizes listed below!
• I phone 6s
• JBL Portable speaker
• Canon Digital Camera
• Virtual Reality Headsets
• A clothing voucher
• A bursary towards your studies
• A notebook laptop
Create your free lifetime profile today!
Question: What is a Shop profile and what are the benefits associated with creating one?
Answer: A shop profile is an online profile of a shop that is at most 10 kilometres (6 miles) away from a higher institution of learning. The profile should have:
• A picture of the shop
• Closing and opening times
• A short description
• A menu or product list items for sale
• Location of the shop and
• Contact information
Benefits of creating a shop profile
• It is completely free!
• You can list as many shops as you own near a university under 1 profile
• You can create a special and send it to all the freelance profiles in the university you serve
• You can edit and delete a shop profile you have created
Question: What is an Event profile and what are the benefits associated with creating one?
Answer: An event profile is an online profile of an event that is at most 10 kilometres (6 miles) away from a higher institution of learning. The profile should have:
• A Picture of the proposed event
• Detailed description of the event
• Location of the event
• Contact information
Benefits of creating an event profile
• It is completely free!
• You can list different events near a university or different universities under 1 profile!
• A feature for setting up a ticket gateway where you will sell your event tickets through us is coming in the near future!
• You can edit or delete your event profile anytime
Question: What is a Group profile and what are the benefits associated with creating one?
Answer: A group profile is an online profile of a group AKA fraternity or student organisation (registered or not) in a higher institution of learning. The profile should have:
• A picture of the group team or logo of the group
• Detailed description about the group
• Office location of the group
• Contact information
Benefits of creating a group profile
• It is completely free!
• You can build an online list for your group by encouraging them to click the blue join button on your group profile
• You can list events under your group profile
• You can edit or delete your group profile anytime
Question: I am interested in advertising on Qaelo, how do I go about it?
Answer: Advertising with us is very easy and we have gone completely crazy with our advertising prices for this 2017/2018 period since it is our launch year but before we get into prices, we have two advertising options we’d like you to consider!
1. My-Lifestyle advertising: Enjoy the exclusivity of having your ad placed with 8 other none competing ads on our main website page and in each and every freelance profile created by a freelancer in your country!
•
Benefits:
i. Only 9 spots are available at a 12 months’ contract.
ii. Your ad will be clickable to either your website, App-store, Play-store or social media channel
iii. Your ad will be placed both on our homepage and in every freelance profile created in your country or continent, depending on your geographical location.
iv. Your ad’s link can be changed to your App-store, Social Media page or another page in your website once a month
v. You will teach us more about your product or service and we will dedicate a blog about it at least once.
• Important note: Advertisement requests go through an intensive decision making process because we only take products and services strictly aimed at students, graduates and young professionals.
• If interested: Please email us with the subject: I want a spot at
<EMAIL_ADDRESS>and we will respond promptly.
Price per month:
| Country |
Stats |
Monthly payment |
Once off payment |
| Australia |
1 country |
$900 |
$9900 |
| Canada |
1 Country |
$850 |
$9350 |
| Europe |
44 countries |
€650 |
€7150 |
| India |
1 country |
₹64000 |
₹704000 |
| South Africa |
1 Country |
R5000 |
R55000 |
| UK |
4 countries |
£550 |
£6050 |
| USA |
50 states |
$1500 |
$16500 |
2.
space advertising: With this option, we let you search for space on our website pages other than our main page and freelance profiles.
•
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Qaelo, for students, graduates and young professionals on the move!
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England bid to seal Euro 2020 spot – 5 talking points ahead of Montenegro clash
England are preparing for their 1000th international.
England face Montenegro at Wembley on Thursday night in their penultimate Euro 2020 qualifier.
Securing progression to the finals is not the only issue ahead of the game, with Raheem Sterling’s omission and a landmark fixture also expected to be high up on the agenda.
Here, the PA news agency takes a look at some of the key talking points on the eve of the contest.
Point the way to Euro 2020
A draw against Montenegro will be enough to seal England’s place at next summer’s finals, while Southgate’s side could even make it through with defeat at Wembley, if Kosovo were to lose to the Czechs.
Either way, England will be confident their spot in the draw, which takes place in Bucharest on November 30.
A ‘grand’ celebration for England?
This will be the 1000th fixture played by England, a landmark figure that will be marked with plenty of pre-match pomp with some of the biggest names to wear the shirt in attendance.
It will then be up to the current crop to make sure the evening does not end on a sour note and that the nation is toasting Euro 2020 qualification after the celebrations.
Sterling exchange
One man who will not be able to influence the outcome of England’s 1000th match is arguably their best player.
Manchester City forward Raheem Sterling has been sidelined by Southgate after a physical altercation with Joe Gomez on Monday.
The pair clashed during Liverpool’s 3-1 Premier League win over Manchester City on Sunday and Sterling’s emotions boiled over into international week as he left Gomez with a scratch on his face – Southgate then opting to not consider the City man for this game.
Stones thrown back in?
He handed Tyrone Mings his debut for the 6-0 win in Bulgaria last time out but may be tempted to return to a Harry Maguire and John Stones partnership.
The pair have played together for England in the past and Southgate is a big fan of Stones, who is fit and playing for Manchester City again on a regular basis, but Mings did not put a foot wrong in difficult circumstances during his international bow so it will be interesting to see who is given the nod at the back.
England keen to avoid further racism rows
It was not the first time in the group campaign that England have had to deal with such issues with other black players targeted in the away game at Montenegro and a Bulgaria fan evicted from Wembley earlier this year.
England insisted ahead of the game in Bulgaria they would respect UEFA’s three-step protocol to tackle racism but they will hope that nothing untoward occurs on Thursday night.


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biff
`Prev `__
B
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--------------
**biff**: /bif/, vt.
[now rare] To notify someone of incoming mail. From the BSD utility
biff(1), which was in turn named after a friendly dog who used to chase
frisbees in the halls at UCB while 4.2BSD was in development. There was
a legend that it had a habit of barking whenever the mailman came, but
the author of **biff** says this is not true. No relation to
`*B1FF* `__.
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CrimPapers
Articles published on 21 October 2019
On 21 October 2019, 3 new articles were published in 3 journals.
What About Cyberspace (and Cybercrime Alongside It)? A Reply to Farrell and Birks “Did Cybercrime Cause the Crime Drop?” by Fernando Miró-Llinares and Asier Moneva
Strength From the Shadows? How Shadow Economies Affect Terrorist Activities by Amira Jadoon, Daniel Milton
Cyber Sexual Harassment: A Summary of Current Measures and Implications For Future Research by Elizabeth Reed, Alice Wong, Anita Raj


Triangle, square, pentagonal, hexagonal, heptagonal, and octagonal numbers are all figurate (polygonal) numbers and are generated by the following formulae:
| Triangle | P3,n=n(n+1)/2 | 1, 3, 6, 10, 15, ... | ||
| Square | P4,n=n2 | 1, 4, 9, 16, 25, ... | ||
| Pentagonal | P5,n=n(3n1)/2 | 1, 5, 12, 22, 35, ... | ||
| Hexagonal | P6,n=n(2n1) | 1, 6, 15, 28, 45, ... | ||
| Heptagonal | P7,n=n(5n3)/2 | 1, 7, 18, 34, 55, ... | ||
| Octagonal | P8,n=n(3n2) | 1, 8, 21, 40, 65, ... |
The ordered set of three 4-digit numbers: 8128, 2882, 8281, has three interesting properties.
Find the sum of the only ordered set of six cyclic 4-digit numbers for which each polygonal type: triangle, square, pentagonal, hexagonal, heptagonal, and octagonal, is represented by a different number in the set.


Five quacking zephyrs jolt my wax bed.
Jackdaws love my big sphinx of quartz.
frisch
“How razorback jumping frogs can level six piqued gymnasts”


You are extremely stressed and not using healthy coping mechanisms. Try setting up an appoinment with a doctor or a therapist as well as reaching out to your family or friends.
 You can try meditation, exercise, seeing a therapist, or talking with a friend.
 Don't be afraid to seek help if you need it - and make sure to maintain your support network!
Just relax! ^_^


Congratulations
This application was deployed using AWS CodeDeploy. This is version #1!!
For next steps, read the
AWS CodeDeploy Documentation
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Visual Relationships Detection Online Demo
Result
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ShanghaiTech University


Represents one half or one range bin of pulse-Doppler in byte format. More...
Public Member Functions | |
| def | __init__ (self, args) |
| def | get_data (self) |
| get_data(PulseDopplerByteData self) -> ucVector More... | |
Public Attributes | |
| this | |
Represents one half or one range bin of pulse-Doppler in byte format.
Python Accessing vectors directly can cause memory corruption if the parent object goes out of scope and is garbage collected. Use accessor methods for a workaround.
frame_counter
: uint32_t
Frame counter generated from chip data rate.matrix_counter
: uint32_t
Incremental matrix counter.range_idx
: uint32_t
Range bin index of current Doppler vector.range_bins
: uint32_t
Number of total range bins in the pulse-Doppler output matrix.frequency_count
: uint32_t
Number of points in frequency axis.pulsedoppler_instance
: uint32_t
Selected pulse-Doppler type from [0..N-1] where N is number of PDs.byte_step_start
: float
Start of dB-compression range.byte_step_size
: float
Size of one step in dB.fps
: float
Output chip framerate (frames per second)fps_decimated
: float
Input FPS of this pulse-Doppler instance.frequency_start
: float
Frequency of first value.frequency_step
: float
Difference between each frequency bin.range
: float
Absolute range of current frequency array.data
: Bytes
Power of pulse-Doppler bins.
[ float = 10^{(byte * byte_step_size + byte_step_start)/10} ]
C++ includes: Data.hpp
| def pymoduleconnector.moduleconnectorwrapper.PulseDopplerByteData.get_data | ( | self | ) |
get_data(PulseDopplerByteData self) -> ucVector
Returns a reference to the data.


Q1: Of the Tranzact accounts that have services: What industries/verticals spend the most
money and on what products/services?
Q2: If Zayo only had enough team members to focus on two products, which products would
you prioritize?
Q3: If Zayo only had 5 representatives, which states would you prioritize for inperson
meetings?
Q4: If Zayo sent quotes to all Tranzact accounts, how would you prioritize the customer
account list? (And list the prioritized accounts from 1 to ####)
Q5: Of the Tranzact accounts without services: How would you prioritize which accounts to
go after first and which products would they potentially buy?


This app is made by Purushottam Kafle
TechEdu helps to provide knowledge and latest news of software and hardwares to the world. Technical mean, the method of analyzing and evaluating software and hardware related things. If You wanna learn it then, come and grab it. This Website is a learning site for genius and individuals who wants to learn some new things. And who are born to change the world. According to the Purushottam Kafle, “Learning about plants and animals called biology and learning about future things called technology. ” Day by day many peoples are born and died, but people who are born to change the world are different. They are genius who invented internet, microsoft, facebook, twitter etc. So, if wanna change the world then you much have the knowledge of technology because this is the world of technology.


|
PU2CLR Si4735 Arduino Library
2.0.0
Arduino Library for Si47XX Devices - By Ricardo Lima Caratti
|
SI473X data representation. More...
Data Structures | |
| union | si473x_powerup |
| Power Up arguments data type. More... | |
| struct | si473x_powerup.arg |
| union | si473x_gpio |
| Data type for Enables output for GPO1, GPO2 and GPO3. More... | |
| union | si473x_gpio_ien |
| Data type for Configuring the sources for the GPO2/INT interrupt pin. More... | |
| struct | si473x_gpio_ien.arg |
| struct | si473x_gpio.arg |
| union | si47x_frequency |
| Represents how the frequency is stored in the si4735. More... | |
| struct | si47x_frequency.raw |
| union | si47x_antenna_capacitor |
| Antenna Tuning Capacitor data type manupulation. More... | |
| struct | si47x_antenna_capacitor.raw |
| union | si47x_set_frequency |
| AM Tune frequency data type command (AM_TUNE_FREQ command) More... | |
| struct | si47x_set_frequency.arg |
| union | si47x_seek |
| Seek frequency (automatic tuning). ARG1. More... | |
| struct | si47x_seek_am_complement |
| Seek frequency (automatic tuning) AM complement (ARG2, ARG3, ARG4 and ARG5) More... | |
| struct | si47x_seek.arg |
| union | si47x_status |
| Status response data representation. More... | |
| struct | si47x_status.refined |
| union | si47x_response_status |
| Response status command. More... | |
| struct | si47x_response_status.resp |
| union | si47x_firmware_information |
| Data representation for Firmware Information (GET_REV) More... | |
| struct | si47x_firmware_information.resp |
| union | si47x_firmware_query_library |
| Firmware Query Library ID response. More... | |
| struct | si47x_firmware_query_library.resp |
| union | si47x_tune_status |
| Seek station status. More... | |
| struct | si47x_tune_status.arg |
| union | si47x_property |
| Data type to deal with SET_PROPERTY command. More... | |
| struct | si47x_property.raw |
SI473X data representation.
The goal of this approach is separating data from code. The Si47XX family works with many internal data that can be represented by data structure or defined data type in C/C++. These C/C++ resources have been used widely here.
This aproach made the library easier to build and maintain. Each data structure created here has its reference (name of the document and page on which it was based). In other words, to make the SI47XX device easier to deal, some defined data types were created to handle byte and bits to process commands, properties and responses. These data types will be usefull to deal with SI473X
| union si473x_powerup |
Power Up arguments data type.
| Data Fields | ||
|---|---|---|
| struct si473x_powerup | arg | Refined powerup parameters. |
| uint8_t | raw[2] | Raw powerup parameters data. Same arg memory position. So, same content. |
| struct si473x_powerup.arg |
| union si473x_gpio |
Data type for Enables output for GPO1, GPO2 and GPO3.
GPO1, 2, and 3 can be configured for output (Hi-Z or active drive) by setting the GPO1OEN, GPO2OEN, and GPO3OEN bit.
| Data Fields | ||
|---|---|---|
| struct si473x_gpio | arg | Refined powerup parameters. |
| uint8_t | raw |
| union si473x_gpio_ien |
Data type for Configuring the sources for the GPO2/INT interrupt pin.
Valid sources are the lower 8 bits of the STATUS byte, including CTS, ERR, RSQINT, and STCINT bits.
| Data Fields | ||
|---|---|---|
| struct si473x_gpio_ien | arg | |
| uint16_t | raw |
| struct si473x_gpio_ien.arg |
| struct si473x_gpio.arg |
| union si47x_frequency |
Represents how the frequency is stored in the si4735.
It helps to convert frequency in uint16_t to two bytes (uint8_t) (FREQL and FREQH)
| Data Fields | ||
|---|---|---|
| struct si47x_frequency | raw | Raw data that represents the frequency stored in the Si47XX device. |
| uint16_t | value | frequency (integer value) |
| struct si47x_frequency.raw |
| union si47x_antenna_capacitor |
Antenna Tuning Capacitor data type manupulation.
| Data Fields | ||
|---|---|---|
| struct si47x_antenna_capacitor | raw | |
| uint16_t | value |
| struct si47x_antenna_capacitor.raw |
| union si47x_set_frequency |
AM Tune frequency data type command (AM_TUNE_FREQ command)
| Data Fields | ||
|---|---|---|
| struct si47x_set_frequency | arg | |
| uint8_t | raw[5] |
| struct si47x_set_frequency.arg |
| union si47x_seek |
Seek frequency (automatic tuning). ARG1.
Represents searching for a valid frequency data type AM and FM.
When AM, the searching data have to be complemented by si47x_seek_am_complement.
| Data Fields | ||
|---|---|---|
| struct si47x_seek | arg | |
| uint8_t | raw |
| struct si47x_seek_am_complement |
| struct si47x_seek.arg |
| union si47x_status |
Status response data representation.
Represents searching for a valid frequency data type.
| Data Fields | ||
|---|---|---|
| struct si47x_status | refined | |
| uint8_t | raw |
| struct si47x_status.refined |
| union si47x_response_status |
Response status command.
Response data from a query status command
| Data Fields | ||
|---|---|---|
| struct si47x_response_status | resp | |
| uint8_t | raw[8] | Check it. |
| struct si47x_response_status.resp |
| union si47x_firmware_information |
Data representation for Firmware Information (GET_REV)
The part number, chip revision, firmware revision, patch revision and component revision numbers.
| Data Fields | ||
|---|---|---|
| struct si47x_firmware_information | resp | |
| uint8_t | raw[9] |
| struct si47x_firmware_information.resp |
| union si47x_firmware_query_library |
Firmware Query Library ID response.
Used to represent the response of a power up command with FUNC = 15 (patch)
To confirm that the patch is compatible with the internal device library revision, the library revision should be confirmed by issuing the POWER_UP command with Function = 15 (query library ID)
| Data Fields | ||
|---|---|---|
| struct si47x_firmware_query_library | resp | |
| uint8_t | raw[8] |
| struct si47x_firmware_query_library.resp |
| union si47x_tune_status |
Seek station status.
Status of FM_TUNE_FREQ or FM_SEEK_START commands or Status of AM_TUNE_FREQ or AM_SEEK_START commands.
| Data Fields | ||
|---|---|---|
| struct si47x_tune_status | arg | |
| uint8_t | raw |
| struct si47x_tune_status.arg |
| union si47x_property |
Data type to deal with SET_PROPERTY command.
Property Data type (help to deal with SET_PROPERTY command on si473X)
| Data Fields | ||
|---|---|---|
| struct si47x_property | raw | |
| uint16_t | value |


Porky's * (out of * * * * )
Directed by Bob Clark. Cast: Dan Monahan, Mark Herrier, Wyatt Knight, Roger Wilson, Kim Cattrall, Scott Colomby, Kaki Hunter, Nancy Parsons, Alex Karras, Susan Clark. 1981 - 99 minutes. Rated R (for profanity, nudity, and sex). Reviewed December 8, 1998.
Well, here's a distasteful, thoroughly amateurish item that, surprisingly, was actually a box-office hit at the time of its release. After just viewing the film for the first time, my primary question is how did anyone with an IQ north of 35 enjoy this movie? It is cheap, idiotic, unfunny, and not nearly as raunchy as I had heard it was. At least some smut would have livened things up a bit.
"Porky's," tells the story (if you can call it that) of four clueless high school buddies, Pee Wee (Dan Monahan), Billy (Mark Herrier), Tommy (Wyatt Knight), and Mickey (Roger Wilson), whom desperately want to get laid. Women, for the most part, are a mystery to them (and in this movie, they are to the audience, as well, since all of them are written and acted as if they are aliens from a different planet). Their plan is sidetracked, however, when they venture out to a smarmy strip bar named Porky's, which they are able to get into using fake ID's. After they pay the manager one-hundred bucks for three hookers, they are played a trick on and find themselves being dumped into the swamp below the building. For these four teenage guys, this means war on Porky's.
"Porky's," ultimately manages to fail on almost every possible level. As a teenage sex-romp, it is not wild or amusing enough. As a comedy, all of the jokes are predictable and fall flat. As a look back at the 1950's, it is something, I suspect, most people from that era would want to bury deep in a grave. And as a revenge movie, it is a crushing bore. One of the most offensive things about, "Porky's," is how jaw-droppingly inaccurate the film is about teenagers. The four main characters are not even attempted to be developed as characters, and we learn very little about them, except that they are horny and would probably feel more comfortable in a preschool. That sure is revealing information.
The female characters fare even worse under the inaudacious screenplay and direction by Bob Clark. The women are all treated as objects or comedy props, rather than real people. For example, the two gym teachers, Mrs. Balbricker (Nancy Parsons) and Honeywell (Kim Cattrall), only have one purpose, and that is to be made fun of. Mrs. Balbricker is a gruff, no-holds-barred, overwight woman who will not stand for any foolishness, and, in one particularly embarrassing scene for all involved, Honeywell has sex with a coach and barks like a dog. There is no way to tell if Parsons or Cattrall are servicable actresses (even though I have the suspicion they are not), but one thing is for sure: they are asked to do things in this film that are not at all funny, only humiliating.
To prove how out-of-touch this so-called comedy is, compare it to other more serious 80's films about teenagers, and it looks even worse in comaprison. Any of the John Hughes pictures, such as 1984's "Sixteen Candles," or, 1985's "The Breakfast Club," put, "Porky's," at an even greater shame. Those films actually dealt with serious teen matters, but remained a great deal funnier, thanks to their bright and truthful writing. And heck, if, "Porky's," wanted to be a teenage sex movie, I'd take 1982's "Fast Times at Ridgemont High," or 1982's "The Last American Virgin," over this any day of the week.
Director Bob Clark is not a bad director. Two years after he made, "Porky's," he directed the nostalgic holiday classic, "A Christmas Story." I would forgive him for this misfire, in fact, if it wasn't for the fact that he also wrote the screenplay. Just the thought that someone would actually sit down to write such a piece of garbage, and think that it was actually a film worth releasing unto the unsuspecting world, is actually a whole lot funnier than anything in, "Porky's."
- Copyright 1999 by Dustin Putman Http://hometown.aol.com/FilmFan16/index.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


§803-36 Notice to applicant. Before executing the warrant the officer shall give notice to the person who applied for it, that the person may be present and identify the property if found. [PC 1869, c 48, §7; RL 1925, §3964; RL 1935, §5416; RL 1945, §10721; RL 1955, §255-21; HRS §708-36; ren L 1972, c 9, pt of §1; gen ch 1985]
Case Notes
Must be given before service. 3 H. 393 (1872).


TerraMap Windows is an interactive Terraria v1.4.4 world map viewer that loads quickly and lets you pan, zoom, find blocks, ores, items in chests, dungeons, NPCs, etc.
For Terraria v1.4.4:
Download v1.4.18 »
View recent changes. »
For Terraria v<IP_ADDRESS>:
Download v1.4.13 »
For Terraria v<IP_ADDRESS>:
Download v1.4.11 »
For Terraria v1.4.1:
Download v1.4.10 »
For Terraria v1.4.0:
Download v1.4.9 »
For Terraria v1.3.5:
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Clipboard paste
Supports: Win, macOS, Linux
|
Process: Main, Renderer (non-sandboxed only)
Paste
In this example we copy a string to the clipboard and then paste the results into a message above.


Ash Barty is on top of the tennis world after her WTA Tour Finals win, but what now?
by Simon SmaleIt has been a stunning 2019 season for Ash Barty.
Three singles titles — including a maiden grand slam at Roland Garros — has meant Ash Barty will end the year flying high as world number one.
Now, to cap it all off, she's won the season-ending WTA Finals in Shenzhen to claim the biggest monetary prize in the history of the sport at $6.4 million.
To put that money into some perspective, seven-time grand slam champion — and two-time winner of the Tour Finals to boot — Evonne Goolagong Cawley earned (just) $2.025 million in prize money during her entire career.
She's also earned more money than the leading men so far this season — although their own lucrative season-ending competition is still to come.
It is a million miles away from her brief sojourn into cricket in 2016, but now that she is at the summit, what now?
First up, her aim should be to stay there, but now she has a target on her back, that might be easier said than done…
Heavy lies the crown — in women's tennis anyway
Where men's tennis has been overwhelmingly dominated by the same three players for the last 15 years, the women's game has been far more volatile at the top.
Aside from the omnipresent figure of Serena Williams as something of a figurehead on the tour, there has been a veritable conveyor belt of players cycling through at the top of the women's game.
Top ten women's tennis players
| Rank | Player | Age | Points |
|---|---|---|---|
| 1 | Ash Barty | 23 | 6,476 |
| 2 | Karoline Pliskova | 27 | 5,315 |
| 3 | Naomi Osaka | 22 | 5,246 |
| 4 | Bianca Andreescu | 19 | 5,041 |
| 5 | Simona Halep | 28 | 4,962 |
| 6 | Petra Kvitova | 29 | 4,401 |
| 7 | Belinda Bencic | 22 | 4,120 |
| 8 | Elina Svitolina | 25 | 3,995 |
| 9 | Serena Williams | 38 | 3,995 |
| 10 | Kiki Bertens | 27 | 3,935 |
In the last 16 grand slams, 10 different players have claimed a title, a diversity of talent that is sorely lacking from the men's game.
In the same period of time, the men's game has given us just five different grand slam champions: Rafael Nadal, Roger Federer, Novak Djokovic, Andy Murray and Stan Wawrinka. Extend that out to the last 40 grand slams and you add just one name to that list (Marin Cilic).
The Djokovic-Nadal-Federer axis has contributed all but seven of those titles, by the way.
Meanwhile, the comparative diversity in the women's grand slam winners is reflected in who is the number one-ranked player.
Since Serena relinquished her record, 186-week stranglehold on the world number one spot on September 11, 2016, there has been 14 changes in world number one, shared between eight women.
In that same time period, the "big four" of men's tennis shared the crown between themselves.
In fact, there has not been a world number one in men's tennis other than Federer, Nadal, Djokovic or Murray since Andy Roddick in February 2004 — during which time there has been 17 different women's number ones, but I digress.
Aside from highlighting the extraordinary longevity of the giants of the game, the fact is that there is a lot more change at the top of the women's game, meaning there is a lot of competition for Ash Barty's crown.
Who is coming for Barty's spot?
With such incredible competition at the top of the women's game, there are a host of players waiting in the wings.
Having said that, there have been plenty of false dawns in tennis, with several highly-fancied prospects falling by the wayside in an attempt to reach the top, and stay there.
Since Serena Williams's 186-week stay at world number one, only three players have managed to hold onto the number one spot for more than 20 weeks: Angelique Kerber, Simona Halep and Naomi Osaka.
At 28 years old, Romanian two-time major winner Halep only won one tournament this year, Wimbledon, but that was her fifth grand slam final — more than anyone else in the top ten has managed, with the exception of Williams.
Take out Williams for a moment — whose 23 majors and 33 finals across an era-defining two-decade period of dominance is likely coming to an end — and there is no one player who seems able to rise above the rest and really dominate.
The active player with the next-highest number of major wins is Serena's sister Venus (currently ranked 53) with seven, followed by Maria Sharapova (currently at 134 in the world) with five.
Of the other experienced players in the top ten, you could argue that Kvitova's best days are behind her. The Czech star won titles in Stuttgart and Sydney this year and reached the final of the Australian Open, but that was the 29-year-old's first grand slam final since winning Wimbledon in 2014 and she only made two quarter-finals between those appearances.
Young guns on the rise
After all Barty has achieved, both this season and earlier in her career, one thing is easy to forget: she is still just 23 years old.
That is younger than all but three of the other players in the top ten; 22-year-old Naomi Osaka, who Barty dethroned as world number one earlier this year, 19-year-old 2019 US Open champion Bianca Andreescu, and 22-year-old Swiss star Belinda Bencic.
Osaka and Andreescu both have grand slam titles to their names already in their fledgling careers, although both have also had to battle injuries, a curse that has felled plenty of hot prospects in the past.
A quick glace outside the top ten also reveals some rising stars who look poised to make the jump into the upper echelons of the sport.
Russia-born, 12th-ranked American Sofia Kenin, who at 20 years old has already claimed three WTA titles, leads a bevvy of American stars who are steadily gathering at the top of the game.
US Open finalist in 2017 Madison Keys is lurking on the periphery of the top ten in 13th, followed by 18-year-old Amanda Anisimova (ranked 21) and 2017 US Open winner Sloane Stephens (ranked 23) — and let's not forget 15-year-old Coco Gauff …
Time to party?
Not quite.
Barty will be heading back to Australia from her success in China — but the champagne that will undoubtedly be on ice in Ipswich will have to wait.
Before she heads back to Queensland, Barty will have one last stop in Perth, where she will hope to add one more bauble to her impressive season.
Australia has not won the Fed Cup since 1974, when Evonne Goolagong, Dianne Fromholtz and Janet Young beat the United States 2-1 on the clay in the Italian city of Naples.
Alicia Molik's side will have a chance to emulate those women this weekend when they take on France in the decider as Australia seeks an eighth title in the women's international showpiece team event.
If Barty's season hasn't been incredible enough already, this would surely top it off.
Then, a short break before attention will turn to Melbourne Park and the Australian Open, where Barty will have to deal with even more pressure than normal as expectations mount for a first home grand slam victory since Chris O'Neil in 1978.
O'Neil was unseeded and unencumbered by the burden of expectations that saw Sam Stosur never pass the fourth round on home soil in 17 attempts so far.
Barty has already surpassed that with last year's quarter-final appearance, but will surely have to deal with more scrutiny than anyone since Lleyton Hewitt if she is to start 2020 with a sizeable bang.


Keynote is an HTML presentation component that enables to create fully-featured and beautiful presentations. Presentations made with reveal.js are built on open web technologies.


@private Used internally to clear remaining groups when fail_fast is set
# File lib/rspec/core.rb, line 112 def self.clear_remaining_example_groups world.example_groups.clear end
Returns the global [Configuration](RSpec/Core/Configuration) object. While you can use this method to access the configuration, the more common convention is to use [RSpec.configure](RSpec#configure-class_method).
@example
RSpec.configuration.drb_port = 1234
@see RSpec.configure @see Core::Configuration
# File lib/rspec/core.rb, line 80 def self.configuration if block_given? RSpec.warn_deprecation *****************************************************************DEPRECATION WARNING* RSpec.configuration with a block is deprecated and has no effect.* please use RSpec.configure with a block instead.Called from #{caller(0)[1]}***************************************************************** end @configuration ||= RSpec::Core::Configuration.new end
Yields the global configuration to a block. @yield [Configuration] global configuration
@example
RSpec.configure do |config| config.add_formatter 'documentation' end
@see Core::Configuration
# File lib/rspec/core.rb, line 106 def self.configure yield configuration if block_given? end
# File lib/rspec/core.rb, line 129 def self.const_missing(name) case name when :Matchers # Load rspec-expectations when RSpec::Matchers is referenced. This allows # people to define custom matchers (using `RSpec::Matchers.define`) before # rspec-core has loaded rspec-expectations (since it delays the loading of # it to allow users to configure a different assertion/expectation # framework). `autoload` can't be used since it works with ruby's built-in # require (e.g. for files that are available relative to a load path dir), # but not with rubygems' extended require. require 'rspec/expectations' ::RSpec::Matchers else super end end
@private
Used internally to print deprecation warnings
# File lib/rspec/core/deprecation.rb, line 6 def deprecate(method, alternate_method=nil, version=nil) version_string = version ? "rspec-#{version}" : "a future version of RSpec" message = *****************************************************************DEPRECATION WARNING: you are using deprecated behaviour that willbe removed from #{version_string}.#{caller(0)[2]}* #{method} is deprecated. if alternate_method message << * please use #{alternate_method} instead. end message << "*****************************************************************" warn_deprecation(message) end
@private Used internally to ensure examples get reloaded between multiple runs in the same process.
# File lib/rspec/core.rb, line 67 def self.reset @world = nil @configuration = nil end
@private
# File lib/rspec/core.rb, line 47 def self.wants_to_quit # Used internally to determine what to do when a SIGINT is received world.wants_to_quit end
@private Used internally to determine what to do when a SIGINT is received
# File lib/rspec/core.rb, line 54 def self.wants_to_quit=(maybe) world.wants_to_quit=(maybe) end
@private
Used internally to print deprecation warnings
# File lib/rspec/core/deprecation.rb, line 32 def warn_deprecation(message) warn message end
Generated with the Darkfish Rdoc Generator 2.


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HAP-NodeJS is an implementation of the HomeKit Accessory Server as specified in the HomeKit Accessory Protocol (HAP), which is defined by Apple as part of the HomeKit Framework.
HAP-NodeJS is intended to be used as a library to easily create your own HomeKit Accessory on a Raspberry Pi,
Intel Edison, or any other platform that can run Node.js :)
If you are searching for a pluggable HomeKit bridge with over a thousand community driven plugins to bring HomeKit
support to devices which do not support HomeKit out of the box, you may want to look at the
homebridge project (which also uses HAP-NodeJS internally).
The implementation tries to follow the HAP specification as close as it can, but may differ in some cases. HAP-NodeJS is not an Apple certified HAP implementation, as this is only available to members of the MFi program.
You may start by having a look at our Wiki, especially have a look at the Important HomeKit Terminology used in this project.
There is also a pretty detailed guide on how to start developing with HAP-NodeJS. Or you may just have a look at our examples repository (or some of the old accessory examples).
The documentation (WIP) can be found here.
See the FAQ on how to enable debug output for HAP-NodeJS.
If you wish to do a contribution please read through our CONTRIBUTING guide.
Special thanks to Alex Skalozub, who reverse-engineeredthe server side HAP.
You can find his research here.
(Sadly, on Nov 4, Apple sent the DMCA request to Github to remove the research.)
There is a video demo running this project on Intel Edison.
If you are interested in HAP over BTLE, you might want to check this.


The DOM Document returned from Titanium.XML.parseString
.
Implements the DOM Level 2 API on Android and iOS. Exposes the DOM Level 3 API implementation on Mobile Web.
As of version 3.1, Android does not truly support DTDs. A document with a DTD can be parsed, however it is not validated, its default attributes are not be automatically added into the DOM tree, and so on.
This has been reported as Android Issue #7395.
Adds the specified callback as an event listener for the named event.
Arguments
| name | [String] | Name of the event. |
| callback | [Callback<Object>] | Callback function to invoke when the event is fired. |
Appends the node newChild
as a child of this node.
Arguments
| newChild | [Titanium.XML.Node] | New node to append. |
Applies the properties to the proxy.
Arguments
| props | [Dictionary] | A dictionary of properties to apply. |
Returns a duplicate of this node.
Arguments
| deep | [Boolean] | Whether or not to perform a deep copy of this node. |
Creates an attribute with the given name.
Arguments
| name | [String] | Name for the new attribute. |
Creates an attribute with the given name and namespace.
Arguments
| namespaceURI | [String] | Namespace URI for the new attribute. |
| name | [String] | Qualified name for the new attribute (can include a prefix). |
Creates and returns a CDATASection.
Arguments
| data | [String] | String data to go into the CDATA section. |
Creates a Comment with the supplied string data.
Arguments
| data | [String] | Comment text. |
Creates an empty DocumentFragment.
Creates an element with the given tag name.
Arguments
| tagName | [String] | Name for the created element. |
Create a new element with the given namespace and name.
Arguments
| namespaceURI | [String] | URI for the namespace the new element belongs to. |
| name | [String] | Qualified for the new element (can include a prefix). |
Creates an EntityReference with the given name.
Arguments
| name | [String] | Name for the new entity reference. |
Creates a processing instruction for inserting into the DOM tree.
Arguments
| target | [String] | Target part for the processing instruction. |
| data | [String] | Data for the processing instruction node. |
Creates a text node.
Arguments
| data | [String] | The string value for the text node. |
Fires a synthesized event to any registered listeners.
Arguments
| name | [String] | Name of the event. |
| event | [Dictionary] | A dictionary of keys and values to add to the Titanium.Event object sent to the listeners. |
Gets the value of the attributes property.
Gets the value of the childNodes property.
Gets the value of the doctype property.
Gets the value of the documentElement property.
Returns an Element that has an ID attribute with the given value.
Arguments
| elementId | [String] | A unique ID value for an element to search for. |
Returns a node list of elements in the document which have the given tag.
Arguments
| tagname | [String] | Tag name to search for. |
Returns a node list of elements in the document which belong to the given namespace and have the given tag name.
Arguments
| namespaceURI | [String] | Namespace URI used for matching elements. |
| localname | [String] | Tag name to search for. |
Gets the value of the firstChild property.
Gets the value of the implementation property.
Gets the value of the lastChild property.
Gets the value of the localName property.
Gets the value of the namespaceURI property.
Gets the value of the nextSibling property.
Gets the value of the nodeName property.
Gets the value of the nodeType property.
Gets the value of the nodeValue property.
Gets the value of the ownerDocument property.
Gets the value of the parentNode property.
Gets the value of the prefix property.
Gets the value of the previousSibling property.
Gets the value of the text property.
Gets the value of the textContent property.
Imports a node from another document to this document, without altering or removing the source node from the original document.
Arguments
| importedNode | [Titanium.XML.Node] | Node to import. |
| deep | [Boolean] | If true, recursively import the subtree under the specified node; if false, import only the node itself. |
Inserts the node newChild
before the node refChild
.
Arguments
| newChild | [Titanium.XML.Node] | Node to insert. |
| refChild | [Titanium.XML.Node] | Node to insert newChild before. |
Tests whether the DOM implementation supports a specific feature.
Arguments
| feature | [String] | Name of the feature. |
| version | [String] | Version number of the feature. |
Removes a child node from this node.
Arguments
| oldChild | [Titanium.XML.Node] | Node to remove. |
Removes the specified callback as an event listener for the named event.
Arguments
| name | [String] | Name of the event. |
| callback | [Callback<Object>] | Callback function to remove. Must be the same function passed to addEventListener. |
Replaces the node oldChild
with the node newChild
.
Arguments
| newChild | [Titanium.XML.Node] | New node. |
| oldChild | [Titanium.XML.Node] | Node being replaced. |
Sets the value of the localName property.
Arguments
| localName | [String] | New value for the property. |
Sets the value of the nodeValue property.
Arguments
| nodeValue | [String] | New value for the property. |
Sets the value of the prefix property.
Arguments
| prefix | [String] | New value for the property. |


We got chance to present Archery tool in world largest conference BlackHat USA 2018 Arsenal at Las Vegas. It was great experience in front of huge audience.
We were very excited to be presenting Archery tool at one of the top information security conferences BlackHat Aisa 2018 Arsenal in Singapore. It also has been great opportunity to...
“Archery is an opensource vulnerability assessment and management tool which helps developers and pentesters to perform scans and manage vulnerabilities. Archery uses popular opensource tools to perform comprehensive scanning for...


You can check the availability of vaccine in your state/district.Cick the button below.
In case of unavailablity of vaccine in your area, we will notify you as and when the vaccines will be available.
Go ahead to check out the type of vaccines made available by the Indian government.


Welcome to Archive TV
This website lets you explore the huge library of Internet Archive,
one random video at a time.
May your journey be
surprising...
This website lets you explore the huge library of Internet Archive,
one random video at a time.
May your journey be
surprising...
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