Pizzeria
>
Order
Review Bag
Order
Size
Choose the size of your pizza.
Small
Medium
Large
Pick your favorite ingredients.
X
Mushrooms
0
X
Bacon
0
X
Tomatoes
0
X
Cheese
0
X
Olives
0
0
The price is inclusive of delivery and MPE.
Add to Bag
Tell us about yourself
Enter your personal details for ordering.
First name:
Last name:
Surname:
Phone:
Delivery address:
Place an order
Report Validation Issues
Confirm your order
User
#
Name
Quantity
Price per unit


Concepts is a Cambridge, Massachusetts based retailer with various locations throughout the northeast United States. They specialize in the footwear and sportswear markets. I was approached to redesign their website with responsive capabilities. This was a great project for me to work on because I definitely consider myself a sneakerhead, and Concepts is a very popular retailer in that regard. So combining two things I know well, design and sneakers, I set forth to create an awesome experience for prospective buyers.
Problem: Currently, the Concepts website is not responsive and this was a big driving force in the redesign. We wanted to create an optimized mobile experience not only for browsing and reading blog entries, but also for purchasing goods. So with that in mind, a clear, easy to use purchase path was crucial. When browsing the current site from a desktop or laptop screen, a lot of the main calls to action (images, buttons, hyperlinks) are inconsistent in regards to styling and position. It was important to unify a solution in order to create a sense of location and direction for the new site.
Solution: I touched on a few key solutions above, but to summarize, we wanted to be sure to not only design and account for mobile devices, but to do so in a way where the experience is optimized and no compromises are made as far as content (or any other pieces of information). We also wanted to give the prospective buyer direction and awareness on the redesigned site, but we wanted to do that by evolving the current design of the site. That meant clean open spaces where images and typography drive the sites content. We wanted to make the redesign edgy, so I did things like creating “off-center” buttons and headers. All together, I was very pleased with how the redesign turned out. Check it out below.
Desktop Homepage.
Mobile Blog Detail & Menu Expanded.
Desktop Blog Detail.
Desktop About Page.
Mobile About Page.
That's all for this project, but you can view more here.


Collector Yumi:
You have been away for some time! I am relieved to see you again. What happened? Did the Starstones work as we had hoped? What did you learn?
Tell her everything you've learned so far.


'Messi Cannot Be Compared To Pele!'
by Kurt BuckerfieldFollowing his recent touchline argument with Argentina captain Lionel Messi, Brazil boss Tite has insisted the FC Barcelona superstar cannot be compared to Selecao legend Pele.
Algeria Boss Reacts To Benzema's Shock Plea
In Argentina's 1-0 win over Brazil in an international friendly last Friday, Tite and Messi exchanged some heated words after the Selecao manager thought the 32-year-old should have been booked for a foul.
Days later, Tite has responded to comparisons between the Argentina captain and Brazil icon Pele, insisting that not even the Catalan club forward has reached the levels the 79-year-old did.
"Messi better than Pele? Pele is incomparable," he said, according to Marca.
"Anyone who wants to compare Pele with another athlete knows nothing.
"Messi is extraordinary, but within humans. Pele is outside humans, is outside normal parameters.
"I do not say this because I am Brazilian, I say it because I saw that story, the magnitude of Pele, his plays, the individual technique, the header, ambidextrous, his strength, his impulse.
"If you want to find a defect, you will not find it."
Post Selfies On Soccer Laduma's Social Media App & Earn Airtime and more! Download Now
Tite then suggested that Messi also lacks the personality Pele had.
"As if that were not enough, Pele had an extraordinary charisma," he added.

What Messi & Cavani Said To Each Other In Bust-Up Revealed?
Messi scored his 70th goal for Argentina in their 2-2 draw with Uruguay on Monday night, and is now seven goals behind Pele's all-time South American goalscoring record.


Great job collaborating! If you are reading this, it means you have already finished your project and are ready to submit it.
For this last step, you and your partner will each fill in a form individually to submit your project and provide feedback about your experience. You can now say bye and end the call with your partner.
To unlock the next step/page, use the following password: finalstep Great job collaborating! If you are reading this, it means you have already finished your project and are ready to submit it.
For this last step, you and your partner will each fill in a form individually to submit your project and provide feedback about your experience. You can now say bye and end the call with your partner.
To unlock the next step/page, use the following password: finalstep
THIS IS HOME
Great job collaborating! If you are reading this, it means you have already finished your project and are ready to submit it.
For this last step, you and your partner will each fill in a form individually to submit your project and provide feedback about your experience. You can now say bye and end the call with your partner.
To unlock the next step/page, use the following password: finalstep Great job collaborating! If you are reading this, it means you have already finished your project and are ready to submit it.
For this last step, you and your partner will each fill in a form individually to submit your project and provide feedback about your experience. You can now say bye and end the call with your partner.
To unlock the next step/page, use the following password: finalstep
THIS IS HOME
Great job collaborating! If you are reading this, it means you have already finished your project and are ready to submit it.
For this last step, you and your partner will each fill in a form individually to submit your project and provide feedback about your experience. You can now say bye and end the call with your partner.
To unlock the next step/page, use the following password: finalstep Great job collaborating! If you are reading this, it means you have already finished your project and are ready to submit it.
For this last step, you and your partner will each fill in a form individually to submit your project and provide feedback about your experience. You can now say bye and end the call with your partner.
To unlock the next step/page, use the following password: finalstep


{{site.user_description}}
Love working with HTML5 and CSS to get things looking perfect. A fan of bootstrap and even bigger fan of Bulma.
A fan of Javascript and the jQuery library in particular, just got started with the Ruby on Rails framework and loving it!
I was converted from Sublime to Atom, it's hackable but approachable. The automation Gulp provides saves time and aids workflow balance. Loving it!


We're going to train our computer to recognize if a student is paying attention.
Categories:
Front
Turned
For the next 45 seconds look at your computer and don't forget about the corners.
Please grant Google Classroom permissions


The Interview
Dave Skylark and his producer Aaron Rapaport run the celebrity tabloid show "Skylark Tonight". When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to assassinate him.


Faith... it makes things possible, not easy....
please enter email
please enter valid email
please enter password
© Laundry Waves All Right Reserved 2016


Data Adaptors
Polyscope is designed as a lightweight general-purpose 3D visualization library. But there’s a problem, because different codebases uses different C++ types to store their data: is an array of scalars a std::vector<double>
or an Eigen::VectorXf
or some other internal type? Codebases for 3D geometry are particularly guilty of this: there are probably several hundred distinct 3D vector x-y-z classes floating around github.
Rather than forcing the user to manually convert their data types to some Polyscope types, we implement a series of templated adaptor functions, which attempt to read from the user types via a common set of strategies. These adaptors are applied to the inputs to nearly all Polyscope functions, allowing them to automatically accept user-defined types as inputs.
You don’t need to do anything special to use these adaptors! They are applied internally to the arguments of nearly every Polyscope function, like the vertices
and faces
arguments of registerSurfaceMesh("name", vertices, faces)
. This section outlines how the adaptors will try to read from your data, and how to extend them for unusual datatypes which are not automatically handled.
These functions live in #include "polyscope/standardize_data_array.h"
. It’s fairly well-commented—check it out to see how all this works under the hood!
Fixed size vector types
These are 2D or 3D vectors whose size are known at compile time, commonly used to represent things like positions (3D), or UV coordinates (2D).
Examples of 3D vector types that Polyscope can read from out of the box include glm::vec3
, Eigen::Vector3d
, and std::array<double, 3>
(likewise for 2D).
Hierarchy
Polyscope will attempt to access an input 2D vector in the following ways, in order of decreasing precedence:
- any user-defined function (see below)
- bracketed indices (like
vec[0]
andvec[1]
) - members
x
,y
(likevec.x
andvec.y
) - members
u
,v
(likevec.u
andvec.v
) - members functions
real()
/imag()
(likevec.real()
andvec.imag()
)
Polyscope will attempt to access an input 3D vector in the following ways, in order of decreasing precedence:
- any user-defined function (see below)
- bracketed indices (like
vec[0]
,vec[1]
, andvec[2]
) - members
x
,y
,z
(likevec.x
,vec.y
, andvec.z
)
using Eigen fixed-size vectorizable types
If you are using fixed-sized, vectorizable Eigen types like Eigen::Vector2f
and Eigen::Vector4f
as your 2D/3D vector types, there are special, tricky alignment rules imposed by Eigen which must be respected. For instance, a std::vector<Eigen::Vector2f>
is not a valid type; using it will lead to tricky-to-debug segfaults.
Polyscope makes a best effort to avoid problems when the caller’s fixed vector type has alignment constraints, but beware—these are dangerous waters.
See Eigen’s documentation here and here for more information.
extending vector access
Extending
Suppose you have an in-house vector type which cannot be accessed by any strategy in the hierarchy above. You can define a custom function that accesses the elements of your type:
YOUR_TYPES_SCALAR adaptorF_custom_accessVector2Value(const YOUR_TYPE& v, unsigned int ind);
Example:
// A vector2 type with unusual access
struct UserVector2Custom {
double foo;
double bar;
};
// Define an accessor to teach Polyscope to read from your type
double adaptorF_custom_accessVector2Value(const UserVector2Custom& v, unsigned int ind) {
if (ind == 0) return v.foo;
if (ind == 1) return v.bar;
throw std::logic_error("bad access");
return -1.;
}
// Now Polyscope functions can take this type as input!
The same principle applies for 3D vectors, where the relevant function is named
YOUR_TYPES_SCALAR adaptorF_custom_accessVector3Value(const YOUR_TYPE& v, unsigned int ind);
Array size
The three array adaptor variants below (scalar array, vector array, and nested array) all assume the ability to read the size of an input array.
Hierarchy
Polyscope will attempt to read the length of an input array in the following ways, in decreasing order of precedence:
- any user-defined function (see below)
- a
.rows()
member function (likeinputData.rows()
) - a
.size()
member function (likeinputData.size()
)
extending array size
Extending
Suppose you have an in-house array type whose length cannot be read by any strategy in the hierarchy above. You can define a custom function that reads the length like:
size_t adaptorF_custom_size(const YOUR_ARRAY_TYPE& c);
Example:
// Array with custom length function called "bigness()"
struct UserArray {
std::vector<double> myData;
size_t bigness() const { return myData.size(); }
};
// Size function for custom array
size_t adaptorF_custom_size(const UserArray& c) { return c.bigness(); }
Scalar arrays
A scalar array is a long list of values, like a float
at each point in a point cloud, or an int
at each vertex of a mesh. We will use the type S
to refer to the inner scalar type of an array, like float
in std::vector<float>
.
Examples of scalar arrays that Polyscope can read from out of the box include std::vector<float>
, Eigen::VectorXd
, and std::list<int>
.
Hierarchy
Polyscope will attempt to access an input scalar array in the following ways, in order of decreasing precedence:
- any user-defined function (see below)
- bracketed index access (like
array[i]
) - parenthesis index access (like
array(i)
) - for-each iteration (like
array.begin()
,array.end()
)
extending scalar array access
Extending
Suppose you have an in-house array type whose elements cannot be accessed by any strategy in the hierarchy above. You can define a custom function that converts your arrays to a std::vector<S>
like
std::vector<YOUR_SCALAR_TYPE> adaptorF_custom_convertToStdVector(const YOUR_ARRAY_TYPE& c) {
Example:
// User array with unusual access
struct UserArrayFuncAccess {
std::vector<double> myData;
size_t size() const { return myData.size(); }
};
std::vector<double> adaptorF_custom_convertToStdVector(const UserArrayFuncAccess& c) {
std::vector<double> out;
for (auto x : c.myData) {
out.push_back(x);
}
return out;
}
Arrays of vectors
These are arrays of values where each element of the array is itself a fixed-size vector type, like the 3D position of each point in a point cloud, or a list of edges in a graph. Note that these arrays must have an inner dimension which is fixed and known at compile time.
Examples of vector arrays that Polyscope can read from out of the box include std::vector<glm::vec3>
, Eigen::Matrx<N,3>
, and std::list<std::array<int,2>>
.
Hierarchy
Polyscope will attempt to access an input array of vectors in the following ways, in order of decreasing precedence:
- any user-defined function (see below)
- dense parenthesis access (like
array(i,j)
) - double bracket access (like
array[i][j]
) - outer type bracket-accessible, inner type anything convertible to Vector2/3 (like
array[i].x
) - outer type iterable, inner type anything convertible to Vector2/3 (like
for(auto vec : array)
andvec.u
). - outer type iterable, inner type bracket-accessible (like
for(auto vec : array)
andvec[7]
)
Notice that two these options make use of the fixed-sized vector adaptors. Once Polyscope can read the elements of SOME_VEC3_TYPE
, it can also read from std::vector<SOME_VEC3_TYPE>
, etc.
The sizes of the inner vector type are generally not checked by Polyscope, so be sure you’re passing in something with the right dimensions! If a function expects an array of 3D vectors, don’t give it an array of 2D vectors.
extending array-of-vectors access
Extending
Suppose you have an in-house array-of-vectors type whose elements cannot be accessed by any strategy in the hierarchy above. You can define a custom function that converts your arrays to a std::vector<S>
like
std::vector<std::array<SCALAR_T,N>> adaptorF_custom_convertArrayOfVectorToStdVector(const YOUR_ARRAY_TYPE& c)
.size()
and bracket access; std::vector<std::vector<>>
would also work.
The size of the inner vector is not checked, so be sure it’s right!
Example:
// An array of vectors with an unusual access scheme
struct UserArrayVectorCustom {
std::list<SOME_TYPE> vals;
size_t size() const { return vals.size(); }
};
// Define a custom access function
std::vector<std::array<double, 3>>
adaptorF_custom_convertArrayOfVectorToStdVector(const UserArrayVectorCustom& inputData) {
std::vector<std::array<double, 3>> out;
for (auto v : inputData.vals) {
out.push_back({v.x(), v.y(), v.z()});
}
return out;
}
Nested arrays
These are arrays-of-arrays, like the list of vertex indices for each face in a polygon mesh. Unlike the arrays-of-vectors above, the dimensions of the inner arrays need not be known at compile time, and can vary (though arrays with fixed-sized inner dimension are also valid input).
Examples of vector arrays that Polyscope can read from out of the box include std::vector<std::vector<int>>
, Eigen::Matrix<double,N,3>
, and std::vector<std::list<size_t>>
.
Hierarchy
Polyscope will attempt to access a nested array in the following ways, in order of decreasing precedence:
- any user defined function
- dense callable (parenthesis) access on a type that supports
array.rows()
andarray.cols()
(likearray(i,j)
). - outer type bracket-accessible, inner type anything that can be accessed as a scalar array (like
array[i][j]
) - outer type parenthesis-accessible, inner type anything that can be accessed as a scalar array (like
array(j)[i]
) - outer type iterable, inner type anything that can be accessed as a scalar array (like
for(auto inner : array)
andinner[7]
).
Notice that several of these options make use of the scalar array adaptors. Once Polyscope can read from YOUR_ARRAY<S>
, it can also read from std::vector<YOUR_ARRAY<S>>
, etc.
extending nested array access
Extending
Suppose you have an in-house nested array type whose elements cannot be accessed by any strategy in the hierarchy above. You can define a custom function that converts your arrays to a std::vector<std::vector<S>>
like
std::vector<std::vector<S>> adaptorF_custom_convertNestedArrayToStdVector(const YOUR_NESTED_ARRAY& inputData) {
Example:
// A nested list type with unusual access
struct UserNestedListCustom {
std::list<std::vector<int>> vals;
size_t size() const { return vals.size(); }
};
std::vector<std::vector<int>> adaptorF_custom_convertNestedArrayToStdVector(const UserNestedListCustom& inputData) {
std::vector<std::vector<int>> out;
for (auto v : inputData.vals) {
std::vector<int> inner;
for (auto x : v) {
inner.push_back(x);
}
out.push_back(inner);
}
return out;
}
Debugging
One downside to our “clever” use of templates is that compiler error messages can be borderline incomprehensible. Generally, the best debugging strategy is to carefully read the documentation and ensure you are passing in data that makes sense. In most cases, the problem is something simple, like passing a 3D vector where a 2D vector is needed, or mixing up the order of arguments.
However, if you are deep in the weeds trying to debug why your type isn’t matching against the template hierarchy (or why a custom function isn’t being used), consider adding the define
#define POLYSCOPE_NO_STANDARDIZE_FALLTHROUGH


A requirable version of Date.now()
Use-case is to be able to mock out Date.now() using require interception.
```js var now = require(“date-now”)
var ts = now() var ts2 = Date.now() assert.equal(ts, ts2) ```
``` var now = require(“date-now/seed”)(timeStampFromServer)
// ts is in “sync” with the seed value from the server // useful if your users have their local time being a few minutes // out of your server time. var ts = now() ```
npm install date-now


Hoping to work on something meaningful one day, learning MEAN stack
Past experiences with PHP, JS, HTML/CSS, JQuery ... eventually could lead to something people are interested in
You can contact me by any mean necessary... though I probably won't reply, My CodeSchool profile !!!


static frontend (adjust path in .env)
Jump start your API development
https://github.com/sroehrl/node-express-typescript


Date
struct Date : ReferenceConvertible, Comparable, Equatable
-
The number of whole 7-day periods until the date represented by the receiver. If the receiver is in the past, the value will be negative.
Declaration
Swift
public var weeksUntil: Int
-
The number of whole 24-hour periods until the date represented by the receiver. If the receiver is in the past, the value will be negative.
Declaration
Swift
public var daysUntil: Int
-
The number of whole 60-minute periods until the date represented by the receiver. If the receiver is in the past, the value will be negative.
Declaration
Swift
public var hoursUntil: Int
-
The number of whole 60-second periods until the date represented by the receiver. If the receiver is in the past, the value will be negative.
Declaration
Swift
public var minutesUntil: Int
-
The number of whole seconds until the date represented by the receiver. If the receiver is in the past, the value will be negative.
Declaration
Swift
public var secondsUntil: Int
-
The number of whole 7-day periods since the date represented by the receiver. If the receiver is in the future, the value will be negative.
Declaration
Swift
public var weeksSince: Int
-
The number of whole 24-hour periods since the date represented by the receiver. If the receiver is in the future, the value will be negative.
Declaration
Swift
public var daysSince: Int
-
The number of whole 60-minute periods since the date represented by the receiver. If the receiver is in the future, the value will be negative.
Declaration
Swift
public var hoursSince: Int
-
The number of whole 60-second periods since the date represented by the receiver. If the receiver is in the future, the value will be negative.
Declaration
Swift
public var minutesSince: Int
-
The number of whole seconds since the date represented by the receiver. If the receiver is in the future, the value will be negative.
Declaration
Swift
public var secondsSince: Int
-
Returns a new
Date
set to the same day as the receiver but with a time changed to the specified hour, minute, second and nanosecond.Declaration
Swift
public func changedTime(hour: Int, minute: Int, second: Int, nanosecond: Int) -> Date
Parameters
hour
The hour component for the returned time.
minute
The minute component for the returned time.
second
The second component for the returned time.
nanosecond
The nanosecond component for the returned time.
Return Value
The new
Date
with the time changed. -
Returns a new
Date
representing the 24-hour time00:00:00
on the same day as the receiver.Declaration
Swift
public var startOfDay: Date
-
Returns a new
Date
representing the 24-hour time23:59:59.999999999
on the same day as the receiver.Declaration
Swift
public var endOfDay: Date
-
Returns a new
Date
representing the current time, but with yesterday’s date.Declaration
Swift
public static var yesterday: Date
-
Returns a new
Date
representing the current time, but with tomorrow’s date.Declaration
Swift
public static var tomorrow: Date
-
Returns a new
Date
containing the same time as the receiver, but with the date adjusted earlier or later by the given number of days.Declaration
Swift
public func adjustDay(_ days: Int) -> Date
Parameters
days
The number of days to add to (if positive) or subtract from (if negative) the receiver.
Return Value
The new
Date
instance. -
Returns a new
Date
containing the same time as the receiver, but one day earlier.Declaration
Swift
public var dayBefore: Date
Return Value
The new
Date
instance. -
Returns a new
Date
containing the same time as the receiver, but one day later.Declaration
Swift
public var dayAfter: Date
Return Value
The new
Date
instance.
-
true
if the receiver represents a time in the past;false
otherwise.Declaration
Swift
public var isPast: Bool
-
true
if the receiver represents the current time;false
otherwise.Declaration
Swift
public var isNow: Bool
-
true
if the receiver represents a time in the future;false
otherwise.Declaration
Swift
public var isFuture: Bool
-
true
if the receiver represents any time yesterday;false
otherwise.Declaration
Swift
public var isYesterday: Bool
-
true
if the receiver represents any time today;false
otherwise.Declaration
Swift
public var isToday: Bool
-
true
if the receiver represents any time tomorrow;false
otherwise.Declaration
Swift
public var isTomorrow: Bool
-
true
if the receiver represents any time before today;false
otherwise.Declaration
Swift
public var isBeforeToday: Bool
-
true
if the receiver represents any time after today;false
otherwise.Declaration
Swift
public var isAfterToday: Bool
-
Determines if the receiver represents a time between two given times or is equal to one of the times.
Note: The order of the
time1
andtime2
arguments is not significant; they may be swapped without changing the return value of the function.Declaration
Swift
public func isBetween(_ time1: Date, and time2: Date) -> Bool
Parameters
time1
The first
Date
value.time2
The second
Date
value.Return Value
true
if the receiver represents any time betweentime1
andtime2
(inclusive);false
otherwise. -
Determines if the current time falls between two given times or is equal to one of the times.
Note: The order of the
time1
andtime2
arguments is not significant; they may be swapped without changing the return value of the function.Declaration
Swift
public static func currentTimeIsBetween(_ time1: Date, and time2: Date) -> Bool
Parameters
time1
The first
Date
value.time2
The second
Date
value.Return Value
true
if the current time is betweentime1
andtime2
(inclusive);false
otherwise. -
Determines whether the specified
Date
represents the same day as the receiver.Declaration
Swift
public func isSameDayAs(_ date: Date) -> Bool
Parameters
date
The date to test.
Return Value
true
ifdate
represents any time on the same day as the receiver;false
otherwise.
-
Formats the receiver as a date string using the specified
DateFormatter.Style
.Declaration
Swift
public func formatDate(style: DateFormatter.Style, timeZone: TimeZone? = nil) -> String
Parameters
style
The
DateFormatter.Style
that specifies the format of the string to be returned.timeZone
The
TimeZone
associated with the date being formatted. Ifnil
, the time zone will not be taken into account.Return Value
The string representation of the receiver’s date.
-
Formats the receiver as a time string using the specified
DateFormatter.Style
.Declaration
Swift
public func formatTime(style: DateFormatter.Style, timeZone: TimeZone? = nil) -> String
Parameters
style
The
DateFormatter.Style
that specifies the format of the string to be returned.timeZone
The
TimeZone
associated with the time being formatted. Ifnil
, the time zone will not be taken into account.Return Value
The string representation of the receiver’s time.
-
Formats the receiver as a date/time string using the specified
DateFormatter.Style
.Declaration
Swift
public func formatDateTime(style: DateFormatter.Style, timeZone: TimeZone? = nil) -> String
Parameters
style
The
DateFormatter.Style
that specifies the format of the string to be returned.timeZone
The
TimeZone
associated with the date and time being formatted. Ifnil
, the time zone will not be taken into account.Return Value
The string representation of the receiver’s date and time.
-
Formats the receiver as a date string in the UTC time zone using the specified
DateFormatter.Style
.Declaration
Swift
public func formatUTCDate(style: DateFormatter.Style) -> String
Parameters
style
The
DateFormatter.Style
that specifies the format of the string to be returned.Return Value
The string representation of the receiver’s date.
-
Formats the receiver as a time string in the UTC time zone using the specified
DateFormatter.Style
.Declaration
Swift
public func formatUTCTime(style: DateFormatter.Style) -> String
Parameters
style
The
DateFormatter.Style
that specifies the format of the string to be returned.Return Value
The string representation of the receiver’s time.
-
Formats the receiver as a date/time string in the UTC time zone using the specified
DateFormatter.Style
.Declaration
Swift
public func formatUTCDateTime(style: DateFormatter.Style) -> String
Parameters
style
The
DateFormatter.Style
that specifies the format of the string to be returned.Return Value
The string representation of the receiver’s date and time.
-
Formats the receiver as a date/time string using the specified
DateFormat
value.Declaration
Swift
public func asString(format: StandardDateFormat, timeZone: TimeZone) -> String
Parameters
format
A
DateFormat
value specifying the format of the string to be returned.timeZone
The
TimeZone
associated with the date being formatted.Return Value
The string representation of the receiver’s date and time.
-
Formats the receiver as a date/time string using the specified
DateFormat
value.Declaration
Swift
public func asString(format: StandardDateFormat, inLocalTime: Bool = false) -> String
Parameters
format
A
DateFormat
value specifying the format of the string to be returned.inLocalTime
If
true
, the returned string will represent the user’s local time; otherwise, UTC time is used.Return Value
The string representation of the receiver’s date and time.
-
Formats the receiver as an RFC 1123 date/time string.
Declaration
Swift
public func asRFC1123(inLocalTime: Bool = false) -> String
Parameters
inLocalTime
If
true
, the returned string will represent the user’s local time; otherwise, UTC time is used.Return Value
The string representation of the receiver’s date and time.
-
Formats the receiver as an ISO 8601 date/time string.
Declaration
Swift
public func asISO8601(inLocalTime: Bool = false) -> String
Parameters
inLocalTime
If
true
, the returned string will represent the user’s local time; otherwise, UTC time is used.Return Value
The string representation of the receiver’s date and time.
-
The
year
component of the date represented by the receiver.Declaration
Swift
public var year: Int
-
The
month
component of the date represented by the receiver.Declaration
Swift
public var month: Int
-
The
day
(of the month) component of the date represented by the receiver.Declaration
Swift
public var day: Int
-
The
hour
component of the date represented by the receiver.Declaration
Swift
public var hour: Int
-
The
minute
component of the date represented by the receiver.Declaration
Swift
public var minute: Int
-
The
second
component of the date represented by the receiver.Declaration
Swift
public var second: Int
-
The
nanosecond
component of the date represented by the receiver.Declaration
Swift
public var nanosecond: Int
-
The
weekday
component of the date represented by the receiver. This is a value between 1 and n (inclusive). In the Gregorian calendar, 1 represents Sunday, while n is 7, representing Saturday.Declaration
Swift
public var weekday: Int
-
The
weekdayOrdinal
component of the date represented by the receiver. This value indicates the currentweekday
‘s ordinal position within the currentmonth
. In the Gregorian calendar, aweekdayOrdinal
unit of 3 for aweekday
of 4 representsthe third Wednesday in the month.
Declaration
Swift
public var weekdayOrdinal: Int
-
The
weekOfMonth
component of the date represented by the receiver.Declaration
Swift
public var weekOfMonth: Int
-
The
weekOfYear
component of the date represented by the receiver.Declaration
Swift
public var weekOfYear: Int
-
The
timeZone
component of the date represented by the receiver, ornil
if it could not be determined.Declaration
Swift
public var timeZone: TimeZone?


{% extends "base.html" %} {% block title %} Thermos -- Delete bookmark {% endblock %} {% block content %} Confirm Delete {% include "bookmark.html" %} Are you sure you want to delete this bookmark? No, take me out of here Yes, delete it {% endblock %} {% block sidebar %} {% endblock %}


It's simpler
Lorem Khaled Ipsum is a
It's safer
Lorem Khaled Ipsum is a
It's faster
Lorem Khaled Ipsum is a
products
super deals
Save BIG on top quality items! Updated daily.
Lorem Khaled Ipsum is a
Lorem Khaled Ipsum is a
Lorem Khaled Ipsum is a
Save BIG on top quality items! Updated daily.


SDG AI Lab Advisory Board is established as a platform to bring together distinguished professionals around the world with academic, business, civil society, or public experience who share the passion and commitment to use frontier technologies for the achievement of Sustainable Development Goals (SDGs). The Board supports SDG AI Lab and the UN Volunteer Developer Community through strategy guidance, partnerships recommendations and by sharing their invaluable professional
expertise and experiences.
Innovation Manager
at Oxfam Novib
Strategy and Business Development Director at ESRI Turkey
Senior Manager, Global Impact Engagement at Salesforce.org
Global Machine Learning Ecosystem Programs Lead, Developer Relations at Google
Professor of Computer Engineering, Head of Department of Computer Engineering, Head of Computer Software DivisioN at Hacettepe University
Researcher, Lecturer, and Coordinator at the UNU-MERIT and Maastricht University
Team Lead, Racial Equity Commitment at Google
Professor of Computer Engineering, Director of Artificial Intelligence Laboratory at Koç University


Package for Bayesian Variable Selection and Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <doi:10.1198/016214507000001337> for linear models or mixtures of g-priors in GLMs of Li and Clyde (2018) <arXiv:1503.06913>. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using Sampling w/out Replacement or an efficient MCMC algorithm samples models using the BAS tree structure as an efficient hash table. Uniform priors over all models or beta-binomial prior distributions on model size are allowed, and for large p truncated priors on the model space may be used. The user may force variables to always be included. Details behind the sampling algorithm are provided in Clyde, Ghosh and Littman (2010) <doi:10.1198/jcgs.2010.09049>. This material is based upon work supported by the National Science Foundation under Grant DMS-1106891. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
| Version: | 1.5.3 |
| Depends: | R (≥ 3.0) |
| Imports: | stats, graphics, utils, grDevices |
| Suggests: | MASS, knitr, GGally, rmarkdown, roxygen2, dplyr, glmbb, pkgdown, testthat, covr |
| Published: | 2018-10-30 |
| Author: | Merlise Clyde <https://orcid.org/-5469> [aut, cre, cph], Michael Littman [ctb], Quanli Wang [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb] |
| Maintainer: | Merlise Clyde <clyde at duke.edu> |
| BugReports: | https://github.com/merliseclyde/BAS/issues |
| License: | GPL (≥ 3) |
| URL: | https://www.r-project.org, https://github.com/merliseclyde/BAS |
| NeedsCompilation: | yes |
| Citation: | BAS citation info |
| Materials: | NEWS ChangeLog |
| In views: | Bayesian |
| CRAN checks: | BAS results |
| Reference manual: | BAS.pdf |
| Vignettes: |
Using the Bayesian Adaptive Sampling (BAS) Package for Bayesian Model Averaging and Variable Selection |
| Package source: | BAS_1.5.3.tar.gz |
| Windows binaries: | r-devel: BAS_1.5.3.zip, r-release: BAS_1.5.3.zip, r-oldrel: BAS_1.5.3.zip |
| OS X binaries: | r-release: BAS_1.5.3.tgz, r-oldrel: BAS_1.5.3.tgz |
| Old sources: | BAS archive |
Please use the canonical form https://CRAN.R-project.org/package=BAS to link to this page.


Smart Street Lights is a project that deals with the intelligent control of illumination of the streets during the off peak hours in night (from 10.30pm to 5.30am say) based on detection of movement on the road by vehicles (mostly) and pedestrians (if any). Smart Street Lights is a real time automatic control of the intensity of LED Street lights by varying the Voltage across the LED array.
The inspiration for this project was obtained from the shortage of power in an ever increasing power demand scenario in India. Relevant questions such as, "What can be done in order to reduce the deficit of power?" Is setting up of more power plants the only solution for the problem?
Do DSM and other power management techniques provide lasting results?
Or is it sensible and feasible to set up an autonomous system that can manage its own power consumptions?
cropped up. Though there are several power management techniques such as smart grid technology, home automation technology, that are in place to reduce wastage of power, it was intriguing to find out that there is no such system in place for street lights which are switched on for almost 12hrs or more daily. Though there is an automatic switching facility to switch on the street lights at dusk and switch off at dawn, it is more of a convenience than an effort to reduce power wastage.
Some emerging technologies incorporate dimming of LED street lights at midnight and brightening before dawn and eventually switch off at dawn. Though this reduces the power consumption, it is not optimal as it may cause inconvenience to late night travelers. Hence, the idea of Smart Street Lights technology became concrete. Smart Street Lights can be designed in several ways. The design methodology adopted was to reduce power of the system and to optimize it based on cost.
Energy consumed by the existing system of lighting is high and is most inefficient which can be seen by the 2 points explained below:
- The present system has a timer for switching on/off of the lights at dawn/dusk which is not that convenient as it may get dark quickly on rainy days/wet season which is drawback of the timer system.
- As it is powered throughout the night when pedestrian/vehicle movement is least, a lot of power is wasted.
Street lighting shouldn't be that bad.
Abstract
Smart street lights is a project on intelligent illumination control of street lights to optimize the problem of power consumption and illumination of the streets, late in the night. Street lights today are being replaced by LED street lighting system, which reduces the power consumption. The other advantage of LED is that the intensity can be controlled easily. Hence, movement detection based street light control can be designed easily.


|
DE.edgeR()
|
Differential Expression Analysis Using EdgeR |
|
DE.statistics()
|
Statistics for DEA Results Based Golden Standards |
|
DE.voom()
|
Differential Expression Analysis Using Voom-limma Pipeline |
|
data.benchmark
|
MiRNA Sequencing Benchmark Data |
|
data.group
|
Sample Labels of the test and benchmark data |
|
data.miR.info
|
MiRNA Information |
|
data.simulation
|
Simulation Plan |
|
data.test
|
MiRNA Sequencing Test Data |
|
fig.CAT()
|
Concordance At The Top Plot |
|
fig.FDR_FNR()
|
Selection of normalization methods based on golden standards |
|
fig.FDR_FNR.boxplot()
|
Boxplot of FDR and FNR for Simulated data |
|
fig.RLE()
|
Relative Log Expression Plot |
|
fig.dendrogram()
|
Dendrogram for clustering p-values |
|
fig.venn()
|
Venn diagram for p-values |
|
fig.volcano()
|
Volcano Figure |
|
norm.DESeq()
|
Normalization By DESeq (DESeq) |
|
norm.PoissonSeq()
|
Normalization By PoissonSeq (PoissonSeq) |
|
norm.QN()
|
Normalization By Quantile Normalization (QN) |
|
norm.RUVg()
|
Normalization By Remove Unwanted Variation Using Control Genes (RUVg) |
|
norm.RUVr()
|
Normalization By Remove Unwanted Variation Using Residuals (RUVr) |
|
norm.RUVs()
|
Normalization By Remove Unwanted Variation Using Replicate Samples (RUVs) |
|
norm.SVA()
|
Normalization By Surrogate Variable Analysis for Sequencing Data (SVA) |
|
norm.TC()
|
Normalization By Total Count (TC) |
|
norm.TMM()
|
Normalization By Trimmed Mean of M-values (TMM) |
|
norm.UQ()
|
Normalization By Upper Quantile (UQ) |
|
norm.med()
|
Normalization By Median (Med) |
|
pip.norm.DE()
|
Pipeline of Differential Expression Analysis for RNASeq Data |
|
pip.norm()
|
Normalization for RNASeq Data |
|
precision.seq()
|
Full normalization assessment for given normalized test data |
|
simulated.data()
|
Simulated Data |
|
simulation.algorithm()
|
The Algorithm for Obtaining the Simulation Plan
This algorithm is tailored for the data.benchmark included in this package. |


UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>Synchronous Protection FAQs
General
Is Synchronous Protection still available?
Synchronous Protection is no longer available as a protection option for UKCloud for VMware. We recommend using one of our other protection options: Journaling Protection or Snapshot Protection. We will continue to provide support to customers who previously added Synchronous Protection to their environment, although we would encourage considering using Journaling Protection instead.
What is the ENHANCED service?
ENHANCED was a G-Cloud 7 service level option which was subsequently replaced with the product name "Synchronous Protection". However, for most purposes, Journaling Protection is more flexible.
How is the environment protected?
Any data that is written is committed to the underlying storage arrays in both UKCloud sites synchronously. This includes the full content of your VMs and edge gateway instances. For clarity, this is not an asynchronous replication technology and the recovery point is the last write to disk, with no historical recovery points. If asynchronous replication with historical recovery points is required, consider Journaling Protection.
How is an unplanned failover event triggered?
We monitor the underlying physical infrastructure, including the blades, routers and switches. In the event of multiple component failure, including loss of redundancy, in the majority of cases your VMs and edge gateway instances will be automatically brought online in the alternative site.
However, other scenarios can result in a full or partial failover, and in these cases we'll need to react differently.
What might I need to factor into my design?
You need to be aware of what this service offers. The UKCloud Synchronous Protection service option:
Is not designed to be active‑active. It offers failover to a second UK site. If you need an active‑active solution, you can build across both sites and design in load balancing. Contact your Account Manager if you want to investigate this option.
Provides a disaster recovery service with an RPO of 0 seconds, and a variable RTO from 1 minute to longer, depending on the scenario.
What will I need to do after an unplanned failover has occurred?
In the event of an unplanned failover, because your VMs are restarted in a crash-consistent state, you may need to manually restart parts of your environment to ensure that your applications continue running as before. You may also need to check your external connectivity to ensure that all networking has been correctly rerouted.
What is the impact on latency?
A consequence of synchronous replication is that there is a higher write latency (time taken for a write to be acknowledged). This is primarily due to the time taken for the write request to occur on both sites. Typically, this means that writes take 15‑20ms (compared to 5‑10ms if Synchronous Protection is not selected). Depending on the workload, this may have a noticeable impact.
If an application performs a large sequence of writes in series (one at a time), then the impact of the higher write latency will be felt. If, on the other hand, the application performs a number of writes in parallel (multiple writes at the same time), then the impact of the higher write latency will be significantly less.
We highly recommend that applications deployed with Synchronous Protection are designed and configured to perform write operations in parallel. As a best practice, we would also recommend ensuring that the file systems are block aligned - that is of particular relevance with Synchronous Protection. Most modern operating systems are block aligned by default, but this may still be of relevance with the additional file systems created manually on Linux.
If you are unable to architect your application to make use of parallel writes, and the increased latency cannot be tolerated, then you should consider alternatives to Synchronous Protection, utilising application replication for protection between sites.
For clarity, Synchronous Protection makes no difference to read latency.
How is the network rerouted?
For internet-bound traffic, we manage an autonomous Border Gateway Protocol (BGP) service that enables us to intelligently redirect traffic without affecting your IP address allocation.
The resilience of the external connectivity into the Elevated OFFICIAL security domain depends on, and is generally provided by, the access network. Behind the router layer, we have designed a network that stretches between our two sites. This allows for network connectivity (if installed in one site) to remain if your virtual firewall and our physical firewall are in separate and alternative sites.
We advise that you consider how additional services, such as Cloud Enablement and leased lines, will be affected in a disaster recovery (DR) scenario, as this falls outside the Synchronous Protection service option.
UKCloud's firewalls are protected within each site, with the failover between the sites performed via an orchestrated process. We achieve this through a sequence of routing changes within our network.
How long will it take for my services to fail over?
This will depend on the scenario and the design of your environment, but generally the failover will take as long as the VM needs to reboot plus a small amount of additional time to invoke the failover - about 45 seconds. Some scenarios, such as a "split brain", can take longer, leading to an outage of up to two hours.
What is the relationship between edge gateways, VDCs and vOrgs when a failover occurs?
When a failure occurs, edge gateways, virtual data centres (VDCs) and organisations and their inherent rules, are failed over with all other VMs.
Can I ask for the VMs in my environment to be split between UKCloud sites?
You cannot specifically request this as part of the service, but UKCloud retains the right to do this if necessary, such as during Planned Maintenance.
Can I be alerted when a VM is moved to a different site?
This feature isn't supported.
Failover testing
How can I test that my services will fail over?
You can test the failover function of the service by requesting a Test Scenario from UKCloud.
For more information, see the Synchronous Protection Service Scope.
Snapshot Protection
Will I be charged for using Snapshot Protection if I opt for Synchronous Protection?
Synchronous Protection with Geo-resilience comes with 14-day Snapshot Protection as standard when selected, with the option for 28-day Snapshot Protection free of charge. Please note that you will be charged for any storage consumed associated with the Snapshot Protection option if enabled.
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


public static interface ServerEndpoint.ListenContext
ServerEndpoint.enumerateListenEndpoints
to receive the
enumerated ListenEndpoint
instances and to choose an active listen operation for each of
them on behalf of the caller of
enumerateListenEndpoints
.| Modifier and Type | Method and Description |
|---|---|
ServerEndpoint.ListenCookie |
addListenEndpoint(ServerEndpoint.ListenEndpoint listenEndpoint)
Adds
listenEndpoint to this
ListenContext 's collection of
ListenEndpoint instances for the
ServerEndpoint it was passed to, starts a
listen operation on listenEndpoint if
necessary, and returns the ListenCookie for an
active listen operation on listenEndpoint . |
ServerEndpoint.ListenCookie addListenEndpoint(ServerEndpoint.ListenEndpoint listenEndpoint) throws IOException
listenEndpoint
to this
ListenContext
's collection of
ListenEndpoint
instances for the
ServerEndpoint
it was passed to, starts a
listen operation on listenEndpoint
if
necessary, and returns the ListenCookie
for an
active listen operation on listenEndpoint
.
The returned ListenCookie
must have been
obtained from a ListenHandle
returned from
some invocation of ListenEndpoint.listen
on a ListenEndpoint
equivalent to
listenEndpoint
by Object.equals
.
This method may start a new listen operation on
listenEndpoint
by invoking its
listen
method and returning the
ListenCookie
from the resulting
ListenHandle
, or it may return a
ListenCookie
for a listen operation previously
started (but still active) on an equivalent
ListenEndpoint
. If this method does invoke
listen
on listenEndpoint
and it
throws an exception, then this method throws that
exception.
The implementation of this method may invoke checkPermissions
on listenEndpoint
to verify
that a party that it is operating on behalf of has all of
the security permissions necessary to listen for requests
on listenEndpoint
.
listenEndpoint
- the ListenEndpoint
to
add to this ListenContext
and to return a
ListenCookie
forListenCookie
that represents an
active listen operation on listenEndpoint
IOException
- if an invocation of listen
on listenEndpoint
throws an
IOException
SecurityException
- if an invocation of
checkPermissions
or listen
on
listenEndpoint
throws a
SecurityException
IllegalStateException
- if this method is invoked
unexpectedly, such as before being passed to
ServerEndpoint.enumerateListenEndpoints
or
after the invocation of
ServerEndpoint.enumerateListenEndpoints
that
it was created for has returnedNullPointerException
- if listenEndpoint
is null
Copyright 2007-2013, multiple authors.
Licensed under the Apache License, Version 2.0, see the NOTICE file for attributions.


- NAME
- Tcl_FindExecutable, Tcl_GetNameOfExecutable - identify or return the name of the binary file containing the application
- SYNOPSIS
- #include <tcl.h>
- void
- Tcl_FindExecutable(argv0)
- const char *
- Tcl_GetNameOfExecutable()
- ARGUMENTS
- DESCRIPTION
- KEYWORDS
Tcl_FindExecutable, Tcl_GetNameOfExecutable - identify or return the name of the binary file containing the application
#include <tcl.h>
void
Tcl_FindExecutable(argv0)
const char *
Tcl_GetNameOfExecutable()
- char *argv0 (in)
-
The first command-line argument to the program, which gives the
application's name.
The Tcl_FindExecutable procedure computes the full path name of
the executable file from which the application was invoked and saves
it for Tcl's internal use.
The executable's path name is needed for several purposes in
Tcl. For example, it is needed on some platforms in the
implementation of the load command.
It is also returned by the info nameofexecutable command.
On UNIX platforms this procedure is typically invoked as the very
first thing in the application's main program; it must be passed
argv[0] as its argument. It is important not to change the
working directory before the invocation.
Tcl_FindExecutable uses argv0
along with the PATH environment variable to find the
application's executable, if possible. If it fails to find
the binary, then future calls to info nameofexecutable
will return an empty string.
Tcl_GetNameOfExecutable simply returns a pointer to the
internal full path name of the executable file as computed by
Tcl_FindExecutable. This procedure call is the C API
equivalent to the info nameofexecutable command. NULL
is returned if the internal full path name has not been
computed or unknown.
binary, executable file
Copyright © 1995-1997 Roger E. Critchlow Jr.
Copyright © 1995-1996 Sun Microsystems, Inc.


The Risk Management Model should extend the RiskManagementModel class and has one required method: $[ManageRisk(),M:QuantConnect.Algorithm.Framework.Risk.IRiskManagementModel.ManageRisk], which receives an array of $[PortfolioTarget,T:QuantConnect.Algorithm.Framework.Portfolio.IPortfolioTarget] objects. When an adjustment of the targets is required, you should return the changed targets only. Optionally you can also use the $[OnSecuritiesChanged(),M:QuantConnect.Algorithm.Framework.Risk.RiskManagementModel.OnSecuritiesChanged] event.
class MaximumDrawdownPerSecurity : RiskManagementModel { // Adjust the portfolio targets and return them. If no changes emit nothing. List<PortfolioTarget> ManageRisk(QCAlgorithmFramework algorithm, PortfolioTarget[] targets) { } // Optional: Be notified when securities change void OnSecuritiesChanged(QCAlgorithmFramework algorithm, SecurityChanges changes) { } }
class MaximumDrawdownPerSecurity(RiskManagementModel): # Adjust the portfolio targets and return them. If no changes emit nothing. def ManageRisk(self, algorithm, targets): return [] # Optional: Be notified when securities change def OnSecuritiesChanged(self, algorithm, changes): pass


Suggestions, comments, ideas all welcome on GitHub.
This page was loaded over HTTP.
| Organisation | Google Inc |
| Domains |
www.google.co.uk google.co.uk cdn.google.co.uk |
| Certificate Authority | Google Internet Authority G2 |
| Valid from | |
| Valid to |
| TLS | 1.0, 1.1, 1.2 |
| SSL | 2, 3 |
| Key | RSA 2048 bits |
| Revocation information | Good CRL, OCSP |
| Forward Secrecy | Good With modern browsers |
| Next Protocol Negotiation (NPN) | Good Yes (spdy/3.1 spdy/3 http/1.1) |
| Session resumption (caching) | Notice No (IDs assigned but not accepted) |
| Session resumption (tickets) | Good Yes |
| OCSP stapling | Good Yes - This reduces the time it takes to load your web page. |
This page was loaded over HTTP.
Certificate packet size: 10,047 bytes.
| 1 | Good Sent by server - www.google.co.uk Fingerprint: 611ea0807d5dd347435ec0b084304cdbea65df47 RSA 2048 bits (e 65537) / SHA1withRSA Notice WEAK SIGNATURE |
| 2 | Good Sent by server - Google Internet Authority G2 Fingerprint: bbdce13e9d537a5229915cb123c7aab0a855e798 RSA 2048 bits (e 65537) / SHA1withRSA Notice WEAK SIGNATURE |
| 3 | Notice Extra download (already in trust store) - GeoTrust Global CA Fingerprint: de28f4a4ffe5b92fa3c503d1a349a7f9962a8212 RSA 2048 bits (e 65537) / SHA1withRSA Notice Weak or insecure signature, but no impact on root certificate |
| 1 | Good Sent by server - www.google.co.uk Fingerprint: 611ea0807d5dd347435ec0b084304cdbea65df47 RSA 2048 bits (e 65537) / SHA1withRSA Notice WEAK SIGNATURE |
| 2 | Good Sent by server - Google Internet Authority G2 Fingerprint: bbdce13e9d537a5229915cb123c7aab0a855e798 RSA 2048 bits (e 65537) / SHA1withRSA Notice WEAK SIGNATURE |
| 3 | Notice Not provided (requires extra download) - GeoTrust Global CA Fingerprint: 7359755c6df9a0abc3060bce369564c8ec4542a3 RSA 2048 bits (e 65537) / SHA1withRSA Notice WEAK SIGNATURE |
| 3 | Good In trust store - Equifax / Equifax Secure Certificate Authority Fingerprint: d23209ad23d314232174e40d7f9d62139786633a RSA 1024 bits (e 65537) / SHA1withRSA Notice WEAK KEY IN MOZILLA'S TRUST STORE Notice Weak or insecure signature, but no impact on root certificate |
This page was loaded over HTTP.
Instructs browsers to always use HTTPS connections.
Good HTTP website does a 301 redirect to HTTPS.
Notice HSTS header not sent (see below).
Notice Not included in this browsers preload list (add).
If you want everyone to connect over HTTPS, include the following header:
Strict-Transport-Security: max-age=31536000; includeSubDomains; preload;
This page was loaded over HTTP.
Identifies and blocks invalid certificates for this domain.
Notice HSTS header not sent (setup).
Notice HPKP header not sent.
If you want to limit the valid certificates for your domain, follow the instructions below.
1) Create a backup key (to be used with a CSR later):
openssl genrsa -out "backup.key" 2048;
2) Store this key in a safe place (not on your server).
3) Extract the base-64 encoded SPKI fingerprint:
openssl rsa -in "backup.key" -outform der -pubout |
openssl dgst -sha256 -binary | base64
4) Include the following header (report only mode):
Public-Key-Pins-Report-Only:
pin-sha256="OtJOVJ9HkPkdvrP3WBYf3CLY8dTaf/dmgsI9T4wT9Dw=";
pin-sha256="***Backup Fingerprint***";
max-age=2592000;
includeSubDomains;
report-uri="http://example.com/hpkp-report";
Note: This example pins your current and backup keys for 30 days. Alternatively you could pin the root or intermediate certificates, which might allow you to re-issue a new certificate, but that assumes that your CA will continue to use the same root/intermediate certificate, even if they have a problem.
This page was loaded over HTTP, so the content can be changed!
| default-src | - 'none' | Good Nice one! this is a good default! |
|---|---|---|
| style-src | - 'self' | Good Can you specify a path? |
| - 'unsafe-inline' | Error Can introduce security issues! | |
| - https://*.googleapis.com | Good Can you specify a path, and remove wildcard? | |
| font-src | - 'self' | Good Can you specify a path? |
| - https://fonts.gstatic.com | Notice Not used on this page? | |
| img-src | - * | Notice Might be a bit permissive? |
| script-src | + 'self' | Good Can you specify /a/js/ as a path? |
| /a/js/jquery-1.11.2.js | ||
| /a/js/navigation.js | ||
| /a/js/main.js | ||
| + https://www.google-analytics.com | Good Can you specify the full url? | |
| https://www.google-analytics.com/analytics.js | ||
| + https://*.googleapis.com | Notice Not used on this page. | |
| N/A | ||
| - 'unsafe-inline' | Error Can introduce security issues! | |
| - 'unsafe-eval' | Error Can introduce security issues! | |
| frame-ancestors | - 'self' | Notice This page isn't in a frame, could it be 'none'? |
| referrer | - no-referrer | Good Nice one! this is a good default! |
| reflected-xss | - block | Good Nice one! this is a good default! |
| base-uri | * | Limits the <base> href values - used for relative URLs. |
|---|---|---|
| child-src | 'none' | Limits nested browsing contexts (incorporating frame-src) |
| connect-src | 'none' | Restricts where connections can be made to (e.g. AJAX requests). |
| form-action | * | Restricts where your forms can send data to. |
| manifest-src | 'none' | Restricts application manifests can be applied. |
| media-src | 'none' | Restricts video, audio, and associated text that can be loaded. |
| object-src | 'none' | Restricts plugins that can be loaded. |
| plugin-types | * | Restricts plugin types (based on mime type), cannot be 'none'. |
| report-uri | URL to send error reports to. | |
| sandbox | Applies restrictions based on <iframe> sandbox attribute. |
This page was loaded over HTTP, so the content can be changed!
ni:///sha-256;C6cv9UyIs9uJeqinPHxthvqh_E1uhG5Twh-Y5qFQmYg?ct=application/javascript
Good https://code.jquery.com/jquery-1.10.2.min.js
ni:///sha-256;asijfiqu4t12eqinPHWTHVqh_E1uhG5Twhakwoeji3W?ct=application/javascript
Good https://www.example.com/script.js
Good https://cdn.example.com/script.js (noncanonical)
ni:///sha-256;asijfiqu4t12eqinPHWTHVqh_E1uhG5Twhakwoeji3W?ct=application/javascript
Good http://www.example.com/script.js
Notice Not advisable, as HTTP requests can be edited on route (e.g. ISP optimisations).
Error Blocked, as HTTPS was used for the main connection (resources must also be encrypted).
Notice No integrity check included.
This page was loaded over HTTP, so the content can be changed!
Good Does appear to be protected using a hidden field:
Notice Does not appear to include an appropriate hidden field:
Notice Does not include any hidden fields.
Detection is based on the assumption that a hidden field must be present where its value cannot be guessed by another website.
While it is technically possible to protect with the referrer header, it is not recommended.
This page was loaded over HTTP, so the content can be changed!
Good X-XSS-Protection: 1; mode=block
Good reflected-xss = block (review)
This only instructs the browser to look for (and try to block) reflected XSS attacks.
Ideally your website would not have any XSS vulnerabilities anyway.
This page was loaded over HTTP, so the content can be changed!
Notice X-Frame-Options: SAMEORIGIN
Notice frame-ancestors = 'self' (review)
As the page isn't loaded in a frame, could it be DENY?
Good Restrictions: 'self' / SAMEORIGIN
Good Sandbox: allow-forms
Notice Restrictions: Not set, would ideally be "SAMEORIGIN"
Notice Sandbox: Not set, would ideally have some restrictions.
Notice Restrictions: Not set, would ideally be "ALLOW-FROM uri"
Notice Sandbox: Not set, would ideally have some restrictions.


Asking for access tokens via DatoCms's OAuth2 API
First step
Authorize with DatoCms
You will get permission to
Authorize
Make API calls
Loading sites for this user...


{% extends "hqwebapp/bootstrap3/base_section.html" %} {% load compress %} {% load i18n %} {% load hq_shared_tags %} {% load crispy_forms_tags %} {% requirejs_main 'users/js/mobile_workers' %} {% block page_navigation %}{{ block.super }} {% if request|ui_notify_enabled:"APP_USER_PROFILES_UPDATE" %}
{% trans 'New feature: App User Profiles' %}
{% blocktrans %} Save time when creating and updating users by creating App User Profiles! Eliminate the need to set every individual field for a user! Available through our Enterprise Subscription {% endblocktrans %}
{% blocktrans %} Mobile Workers can log into applications in this project space and submit data. {% endblocktrans %}
{% blocktrans with hq_name=commcare_hq_names.COMMCARE_HQ_NAME %}
Their activity and form submissions can be monitored in the Reports section of this {{ hq_name }} project space.
Read more about managing mobile workers on our
Help Site.
{% endblocktrans %}
{% trans 'New feature: Project Spaces filter on Filtered Download' %}
{% blocktrans %} Download mobile workers from all or a select number of project spaces using the 'Project Spaces' filter on the 'Filter and Download Mobile Workers' page! {% endblocktrans %}


Timing
Different type's of food take different amounts of time to cook. Some require to rest afterwords, so getting the timing perfect and know when to put food on and take it out of the oven s tricky.
Grub's up takes all the difficult work out of timing, and will even help suggest the portions sizes to use. Simple select how many people you are cooking for and the food you want to cook. All the timings will be worked out for you so everything is ready to serve at the same time.


FEWS
Flood Early
Warning System
Sunday, 4 November 2018
TIME
Node Visualization
{{beacon.dataSensor}}
{{beacon.id + 1}}
Flood Potential
Disconnected
: Low level flood possibilities
: Medium level flood possibilities
: High level flood possibilities


Add a contact:
First Name
Last Name
Street
City
State
Zip
Submit
Additional Address
First name:
Last name:
Address:
Contacts:
Favorites:


Connect Wallet
Home
Staking
Voting
Coming Soon
STKHB STATISTICS
Total Supply
Total Staked
Pending Rewards
Your Staking Stats
Staking Rewards
STKHB In Wallet
Staked Balance
Collect Rewards
Stake
Earn Up To
APY
Stake Now
Vote
Voting
Need help? Visit our
document center
or
contact us
!


lingvo.core.ops.py_x_ops module¶
Operations.
-
lingvo.core.ops.py_x_ops.
assert_shape_match
(x, y, msg='', name=None)¶ Asserts that shape vector x and y matches.
The i-th dimension matches iff x[i] == y[i] || x[i] == -1 || y[i] == -1.
Parameters: - x – A
Tensor
of typeint32
. A shape vector. - y – A
Tensor
of typeint32
. A shape vector. - msg – An optional
string
. Defaults to""
. The error message generated when the assertion failed. - name – A name for the operation (optional).
Returns: The created Operation.
- x – A
-
lingvo.core.ops.py_x_ops.
assert_same_dim0
(x, msg='', name=None)¶ Asserts that all input tensors are non-scalar and have the same 0-th dim size.
Parameters: - x – A list of
Tensor
objects. The list of tensors. - msg – An optional
string
. Defaults to""
. The error message generated when the assertion failed. - name – A name for the operation (optional).
Returns: The created Operation.
- x – A list of
-
lingvo.core.ops.py_x_ops.
random_permutation_sequence
(num=1, batch=1, repeat=False, seed=0, name=None)¶ Generate random samples from [0..num-1] without replacements.
Parameters: - num – An optional
int
. Defaults to1
. The number of ids. - batch – An optional
int
. Defaults to1
. Each output is a vector of size up to batch. Right now, the last batch from one epoch is the only one that can be smaller than a full batch. - repeat – An optional
bool
. Defaults toFalse
. If true, this op keep generating random samples after one epoch. If false, this op errors withtf.errors.OutOfRangeError
when an epoch finishes. - seed – An optional
int
. Defaults to0
. The random seed. - name – A name for the operation (optional).
Returns: A
Tensor
of typeint32
. Each output is a vector of size up to batch.- num – An optional
-
lingvo.core.ops.py_x_ops.
best_step
(hist_file, tol=0, minimize=True, name=None)¶ Determines the best global step from a history file.
Parameters: - hist_file – A
string
. Text file containing ‘step score’ records; lower scores are better. - tol – An optional
float
. Defaults to0
. Difference between previous best score and current score must be greater than this amount to trigger update. - minimize – An optional
bool
. Defaults toTrue
. - name – A name for the operation (optional).
Returns: A
Tensor
of typeint64
. Scalar value for best global step.- hist_file – A
-
lingvo.core.ops.py_x_ops.
beam_search_step
(scores, atten_probs, best_scores, cumulative_scores, in_scores, in_hyps, in_prev_hyps, in_done_hyps, in_atten_probs, is_last_chunk, cur_step, lm_log_probs, eos_id, beam_size, num_hyps_per_beam, eoc_id=-1, valid_eos_max_logit_delta=5, lm_weight=0, merge_paths=False, name=None)¶ Move forward one step in beam search.
Let “b” be the number of beams, “k” be the number hyps in each beam, “t” be the maximum decoding steps.
The following data structures are allocated before the first decoding step and are passed along from cur step to the next step:
- in_scores
- A tensor of shape [t, b * k]. in_scores[i, j] is the local score of the j-th hyp at the i-th decoding step.
- in_hyps
- A tensor of shape [t, b * k]. in_hyps[i, j] is the token id of the j-th hyp at the i-th decoding step.
- in_prev_hyps
- A tensor of shape [t, b * k]. in_prev_hyps[i, j] stores a pointer of the j-th hyp at time step i to the hyp at previous timestep (i - 1). 0 <= in_prev_hyps[i, j] < b * k.
- in_done_hyps
- A tensor of shape [t, b * k]. in_done_hyps[i, j] can be either an empty string, or a serialized Hypothesis proto. Terminated hyps are removed from the beam and are moved to the corresponding in_done_hyps slot.
- in_atten_probs
- A tensor of shape [t, b * k, s_len]. in_atten_probs[i, j, …] is the attention probs over the source words for the j-th hyp at the i-th timestep.
Those tensors are modified (with content for the cur_step timestep being filled in) within this op invocation and are passed to the corresponding output tensors.
Parameters: - scores – A
Tensor
of typefloat32
. A matrix of shape [b * k, vocab_size], where b is the number of active beams, and k is the number of hyps in each beam. Local scores for the current timestep. - atten_probs – A
Tensor
of typefloat32
. A matrix of shape [b * k, source_len]. Attention probabilities for the current timestep. - best_scores – A
Tensor
of typefloat32
. A vector of size [b], best scores of terminated hyps so far in each of the beams. - cumulative_scores – A
Tensor
of typefloat32
. A vector of size [b * k]. The cumulative score of each active hyp before the current step. - in_scores – A
Tensor
of typefloat32
. As explained above. - in_hyps – A
Tensor
of typeint32
. As explained above. - in_prev_hyps – A
Tensor
of typeint32
. As explained above. - in_done_hyps – A
Tensor
of typestring
. As explained above. - in_atten_probs – A
Tensor
of typefloat32
. As explained above. - is_last_chunk – A
Tensor
of typebool
. A tensor of shape [b * k]. Used by neural transducer, determine whether the current hypothesis reaches the last chunk and should treat the next end-of-chunk symbol as end-of-sentence. - cur_step – A
Tensor
of typeint32
. Current step id. - lm_log_probs – A
Tensor
of typefloat32
. A matrix of shape [b * k, vocab_size], where b is the number of active beams, and k is the number of hyps in each beam. Local scores for the current timestep according to a language model. These scores will be used to adjust scores of the top k hyps if lm_weight is nonzero (seelm_weight
below). - eos_id – An
int
. Token id of the special end of sequence token. - beam_size – A
float
. Search terminates if the delta between the scores of the active hyps in a beam and the best scores exceeds this threashold. - num_hyps_per_beam – An
int
. Number of hyps in a beam. - eoc_id – An optional
int
. Defaults to-1
. Token id of the special end of chunk token. - valid_eos_max_logit_delta – An optional
float
. Defaults to5
. We allow </s> to terminate a hyp only if its logit is no more thanvalid_eos_max_logit_delta
away from the logit of the best candidate. - lm_weight – An optional
float
. Defaults to0
. A scalar specifying how much weight to place onlm_log_probs
when determining the scores of the top k hyps. If lm_weight is zero, the local score of each hyp is the score of the chosen word according toscores
. Otherwise, the local score is a linear combination of the chosen word according toscores
andlm_log_probs
, with: effective score = scores + (lm_log_probs * lm_weight). Note that this rescoring is done only after the top k hyps have been chosen usingscores
alone, such thatlm_log_probs
do not actually change what the top k hyps are, in a given step. Global score remains the sum of local scores. - merge_paths – An optional
bool
. Defaults toFalse
. If true, hyps which are identical when epsilons are removed will be combined into a single hyp. The probability for that combined hyp will be the sum of the probabilities of the component hyps. This can only be applied for epsilon-emitting models (RNN-T and NT). - name – A name for the operation (optional).
Returns: A tuple of
Tensor
objects (out_best_scores, out_cumulative_scores, out_scores, out_hyps, out_prev_hyps, out_done_hyps, out_atten_probs, all_done).- out_best_scores: A
Tensor
of typefloat32
. Updated best scores for each of the beams.
- out_cumulative_scores: A
Tensor
of typefloat32
. A vector of size [b * k]. The cumulative score of the new hyps after the current decoding step.
- out_scores: A
Tensor
of typefloat32
. As explained above.
- out_hyps: A
Tensor
of typeint32
. As explained above.
- out_prev_hyps: A
Tensor
of typeint32
. As explained above.
- out_done_hyps: A
Tensor
of typestring
. As explained above.
- out_atten_probs: A
Tensor
of typefloat32
. As explained above.
- all_done: A
Tensor
of typebool
. A scalar, whether decoding should terminate for all beams.
-
lingvo.core.ops.py_x_ops.
top_k_terminated_hyps
(in_done_hyps, src_seq_lengths, k, num_hyps_per_beam, length_normalization, coverage_penalty, target_seq_length_ratio=1, eoc_id=-1, merge_paths=False, name=None)¶ Compute the top k terminated hyps based on normalized score for each beam.
Let “b” be the number of beams, “h” be the number hyps in each beam, “t” be the maximum decoding steps.
Parameters: - in_done_hyps – A
Tensor
of typestring
. A tensor of shape [t, b * h]. in_done_hyps[i, j] can be either an empty string, or a serialized Hypothesis proto. The non-empty hyps in in_done_hyps are terminated hyps. - src_seq_lengths – A
Tensor
of typeint32
. A tensor of shape [b] of the src sequence lengths. - k – An
int
. number of highest scoring hyps to be returned for each beam. - num_hyps_per_beam – An
int
. Number of hyps per beam in the inputin_done_hyps
. - length_normalization – A
float
. The length normalization ratio. - coverage_penalty – A
float
. The alpha value for coverage penalty. - target_seq_length_ratio – An optional
float
. Defaults to1
. Ratio of the average target sequence length over the average source sequence length. - eoc_id – An optional
int
. Defaults to-1
. Token id of the special end of chunk or blank (epsilon) token. -1 means this model does not use epsilon. - merge_paths – An optional
bool
. Defaults toFalse
. If true, hyps which are identical when epsilons are removed will be combined into a single hyp. The probability for that combined hyp will be the sum of the probabilities of the component hyps. This can only be applied for epsilon-emitting models (RNN-T and NT). - name – A name for the operation (optional).
Returns: A
Tensor
of typestring
. A string tensor of shape [b, k]. topk_hyps[i: ] contains top k terminated hyp for beam ‘i’, each hyp could be either an empty string or a serializedHypothesis
proto.- in_done_hyps – A
-
lingvo.core.ops.py_x_ops.
unpack_hyp
(in_hyps, max_seq_length, name=None)¶ Unpacks hyps into tensors of ids, seq_len and scores.
Parameters: Returns: A tuple of
Tensor
objects (out_ids, out_seq_lens, out_scores).- out_ids: A
Tensor
of typeint32
. Output sequences, a matrix of shape (batch_size, max_seq_length). Sequences shorter than max_seq_length are padded with 0s.
- out_seq_lens: A
Tensor
of typeint32
. Length of each of the output sequence, a vector of size
batch_size
.- out_scores: A
Tensor
of typefloat32
. Scores for each of the output sequence, a vector of
batch_size
.
- out_ids: A
-
lingvo.core.ops.py_x_ops.
hyps_from_beam_search_outs
(hyps, prev_hyps, done_hyps, scores, atten_probs, eos_scores, eos_atten_probs, eos_id, num_hyps_per_beam, name=None)¶ Generates
Hypothesis
protos from output of a beam search step.Parameters: - hyps – A
Tensor
of typeint32
. A tensor of shape [t, b * k] with ids of the token selected. - prev_hyps – A
Tensor
of typeint32
. A tensor of shape [t, b * k] with index to the previous hyps which was selected. - done_hyps – A
Tensor
of typebool
. A boolean tensor of shape [t, b * k] where value indicates if hyps was terminated. - scores – A
Tensor
of typefloat32
. A tensor of shape [t, b * k]. in_scores[i, j] is the local score of the j-th hyp at the i-th decoding step. - atten_probs – A
Tensor
of typefloat32
. A tensor of shape [t, b * k, s_len]. atten_probs[i, j, …] is the attention probs over the source words for the j-th hyp at the i-th timestep. - eos_scores – A
Tensor
of typefloat32
. A tensor of shape [t, b * k]. eos_scores[i, j] is the local score of the EOS token at the j-th hyp at the i-th decoding step. - eos_atten_probs – A
Tensor
of typefloat32
. A tensor of shape [t, b * k, s_len]. eos_atten_probs[i, j, …] is the attention probs over the source words for the j-th terminated hyp at the i-th timestep. - eos_id – An
int
. Token id of the special end of sequence token. - num_hyps_per_beam – An
int
. Number of hyps per beam. - name – A name for the operation (optional).
Returns: A
Tensor
of typestring
. A tensor of shape [t, b * k] with terminated hyps.- hyps – A
-
lingvo.core.ops.py_x_ops.
cached_call
(f, T, name=None)¶ Invokes function f once and memorize its output.
Parameters: - f – A function decorated with @Defun. A function that returns a list of tensors (T).
- T – A list of
tf.DTypes
. - name – A name for the operation (optional).
Returns: A list of
Tensor
objects of typeT
. A list of output tensors whose types are T.
-
lingvo.core.ops.py_x_ops.
label_to_token_id
(labels, append_eos=True, maxlen=300, name=None)¶ Converts label strings into token ids.
Parameters: Returns: A tuple of
Tensor
objects (token_ids, target_ids, paddings).- token_ids: A
Tensor
of typeint32
. A matrix of shape [batch, maxlen]. token_ids[i, j] is the i-th sample’s j-th token id. token_ids[i, 0] is always <s>.
- target_ids: A
Tensor
of typeint32
. A matrix of shape [batch, maxlen]. target_ids[i, j] is the i-th sample’s j-th prediction label id.
- paddings: A
Tensor
of typefloat32
. A matrix of shape [batch, maxlen]. paddings[i, j] == 1.0 indicates that i-th training example’ j-th target token is padded and should be ignored.
- token_ids: A
-
lingvo.core.ops.py_x_ops.
str_to_vocab_tokens
(labels, vocab_filepath, append_eos=True, maxlen=300, load_token_ids_from_vocab=True, name=None)¶ Tokenizes string into white space separated tokens according to a vocab file.
Parameters: - labels – A
Tensor
of typestring
. A vector of shape [batch]. - vocab_filepath – A
string
. a string, filepath to the vocab file. - append_eos – An optional
bool
. Defaults toTrue
. Whether to append </s> at the end and treat it as a non-padded label. - maxlen – An optional
int
. Defaults to300
. an integer, sequence length of the output tensors. - load_token_ids_from_vocab – An optional
bool
. Defaults toTrue
. Whether token ids are present in vocab (i.e. vocab contains two colums, one for IDs and one for words). If false, line numbers are used. - name – A name for the operation (optional).
Returns: A tuple of
Tensor
objects (token_ids, target_ids, paddings).- token_ids: A
Tensor
of typeint32
. A matrix of shape [batch, maxlen]. token_ids[i, j] is the i-th sample’s j-th token id. token_ids[i, 0] is always <s>.
- target_ids: A
Tensor
of typeint32
. A matrix of shape [batch, maxlen]. target_ids[i, j] is the i-th sample’s j-th prediction label id.
- paddings: A
Tensor
of typefloat32
. A matrix of shape [batch, maxlen]. paddings[i, j] == 1.0 indicates that i-th training example’s j-th target token is padded and should be ignored.
- labels – A
-
lingvo.core.ops.py_x_ops.
id_to_token
(token_ids, seq_lengths, name=None)¶ Converts sequences from token ids to actual tokens.
Parameters: - token_ids – A
Tensor
of typeint32
. A matrix of shape [batch, seq_len]. - seq_lengths – A
Tensor
of typeint32
. A vector of shape [batch]. seq_lengths[i] is the length of the i-th sequence. Only the first seq_lengths[i] tokens in token_ids[i] are valid tokens for the i-th sequence. - name – A name for the operation (optional).
Returns: A
Tensor
of typestring
. A vector of shape [batch]. The converted string sequence.- token_ids – A
-
lingvo.core.ops.py_x_ops.
ngram_id_to_token
(token_ids, seq_lengths, ngram_vocab_filepath, ngram_separator='', name=None)¶ Converts sequences from token ids to actual tokens.
Parameters: - token_ids – A
Tensor
of typeint32
. A matrix of shape [batch, seq_len]. - seq_lengths – A
Tensor
of typeint32
. A vector of shape [batch]. seq_lengths[i] is the length of the i-th sequence. Only the first seq_lengths[i] tokens in token_ids[i] are valid tokens for the i-th sequence. - ngram_vocab_filepath – A
string
. filepath to the ngram vocab file. - ngram_separator – An optional
string
. Defaults to""
. separator to use when joining ngrams into string. - name – A name for the operation (optional).
Returns: A
Tensor
of typestring
. A vector of shape [batch]. The converted string sequence.- token_ids – A
-
lingvo.core.ops.py_x_ops.
generic_input
(processor, *args, **kwargs)[source]¶ Produces examples from processed from records.
Parameters: - file_pattern – A
string
. Glob pattern for the data files. - bucket_upper_bound – A list of
ints
. Bucketing scheme. Specifies each bucket’s upper bound. - bucket_batch_limit – A list of
ints
. Batching scheme. Specifies each bucket’s maximum batchsize. - out_types – A list of
tf.DTypes
that has length>= 1
. A list of tensor types. - processor – A function decorated with @Defun.
A function that processes a string (one record) and returns
a list of tensors. The last tensor must be a int32 scalar, which is
used in conjunction with
bucket_upper_bound
to bucket all the samples. The other tensors belongs to one sample. They have the respectiveout_types
. These tensors’ first dimension are _not_ the batch dimension. Instead, when multiple samples are merged into a batch, GenericInput’s implementation expand the batch dimension (dim 0) and concatenate the corresponding tensors into one tensor. - file_random_seed – An optional
int
. Defaults to301
. Random seeds used to produce randomized records. - file_buffer_size – An optional
int
. Defaults to10000
. The randomization shuffling buffer. - file_parallelism – An optional
int
. Defaults to16
. How many sstables are opened and concurrently iterated over. - flush_every_n – An optional
int
. Defaults to0
. If non-zero, flushes all batches buffered so far every thesemany records are yielded. - num_threads – An optional
int
. Defaults to1
. Number of threads to use for the record batcher. Each thread fillsseparate batches based on bucket limits. - dynamic_padding_dimensions – An optional list of
ints
. Defaults to[]
. If not empty, must be the same length as out. Specifies the 0-indexed dimension to pad dynamically for each output. The output is padded to the longest tensor in the batch along the dimension. The first (0-th) dimension is _not_ the batch dimension. - dynamic_padding_constants – An optional list of
ints
. Defaults to[]
. Must be set ifdynamic_padding_dimension
is provided. The constant value to use for padding. - name – A name for the operation (optional).
Returns: A list of
Tensor
objects of typeout_types
. The 1st dimension of every tensor is the batch dimension.- file_pattern – A
-
lingvo.core.ops.py_x_ops.
v
(x, msg='', name=None, ctx=None)¶ This is the slowpath function for Eager mode. This is for function assert_same_dim0


This attractive island is reputed to be the home of Odysseus. It lies close to the east of Cephalonia and comprises of two almost separate islands, connected by a narrow causeway.
Photo of the Ithaca Channel looking at Ithaca from Cephalonia, courtesy of SY Josephine (2013).
There are several ports worth visiting, in addition to many anchorages.
Frikes
This picturesque little harbour is on the east coast of the northern island. Yachts berth alongside the small quay and are expected to raft up. Strong southerly winds can cause a problem, but otherwise it is a safe harbour. Water and electricity on the quay.
Kioni
This little harbour is about 4NM South of Frikes in another deep bay. It is subject to the same problems in strong southerlies. No water and limited provisions, but very charming.
Vathi
This Vathi (not to be confused with the one on Samos) is tucked into a bay on the northern coast of the southern island. During the day, the prevailing wind blows into the bay and can make berthing on the town quay difficult, but generally it dies away at night. No swell or surge enters here, however the cross wind can be fierce at times, keep a good distance from the quay. The anchorage is excellent with great holding in 5m of water. Yachts often use the ferry quay for berthing as well, however it helps to know the ferry schedule which is intermittent.
Water (10€ for 100 liters approx.) and fuel can be delivered here by mini-tanker. Be sure to double check price and quantity before paying. Good provisions and an excellent bakery. Limited repairs. For latest updates from cruisers visiting Vathi read this report.
Last updated June 2016.


{% extends "iee_contact/contact_form_base.html" %} {% load i18n %} {% block title_form_page %}Contact us{% endblock %} {% block form_page_title %} {{ wizard.form.enquiry_topic.label }} {% endblock %} {% block form_body %} {#
You will be redirected to Her Majesty's Revenue and Customs (HMRC) contact form
Your enquiry will be sent to the Department for Environment, Food & Rural Affairs (Defra)
Your enquiry will be sent to the Department for Digital, Culture, Media & Sport (DCMS)
Your enquiry will be sent to the Department for Business and Trade (DBT)


Contact
Nils Redeker
Jacques Delors Centre
Affolternstraße 56, Zurich
Room: AFL H-346
Office hours: by appointment
<EMAIL_ADDRESS>Phone: +41 44 63 43848
Twitter:@niredeker
Nils Redeker
Jacques Delors Centre
Affolternstraße 56, Zurich
Room: AFL H-346
Office hours: by appointment
<EMAIL_ADDRESS>Phone: +41 44 63 43848
Twitter:@niredeker


Adidas ReStock
This app will monitor shoe quantity for 24 hours and will text you if your size is restocked.
Product ID
Phone Number
4
4.5
5
5.5
6
6.5
7
7.5
8
8.5
9
9.5
10
10.5
11
11.5
12
12
13
13.5
14
14.5
15
15.5
16
16.5
17
17.5
18
Notify Me
Inventory Table
Product Variants


Controllers¶
This pages gives an quick overview of the controllers used in an Mapbender3 application.
The Front Controller - Using Routes¶
In Symfony2, each HTTP request goes trough the (one-and-only) front end controller (app.php in the web directory) which determines the controller funtion to pass it to.
The mapping from request path to controller function is basically done in the configuration, where the routing.yml defines these mappings - called routes - or imports their definitions from bundles (or other files).
 ]
The command lists all routes with their names, allowed methods and URL pattern. To get more information about a particular route, give it’s name to the command:
app/console router:debug mapbender_core_user_login
[router] Route "mapbender_core_user_login"
Name mapbender_core_user_login
Pattern /user/login
Class Symfony\Component\Routing\CompiledRoute
Defaults _controller: Mapbender\CoreBundle\Controller\UserController::loginAction
Requirements
Options compiler_class: Symfony\Component\Routing\RouteCompiler
Regex #^
/user/login
$#x
To learn more about routing, read the Symfony Book.
Defining routes using annotations¶
In Mapbender3 we use a decentralized route definitions: Instead of writing each and every route in the routing.yml, we import their definition from the controller classes in the activated bundles. This has the advantage of having the definition with the controller function. This should usually be fine and can be - if need arises - easily overwritten by adapting the routing.yml. Using the Symfony2 with the SE bundles like Mapbender3 does, routes can therefore be written using annotation comments for each controller function. You can read about the annotation syntax over at the Symfony2 documentation.
Mapbender3 Controllers¶
A Mapbender3 installation with use a particular set of controller classes and functions. This chapter will give an short list of these, so you can inspect them more easily.
Frontend¶
The frontend is basically “the application” (or GUI as it has been called in Mapbender 2 - and even there this term was incorrect). Each application is routed to the ApplicationController class of the CoreBundle:
/application/{slug} => Mapbender\CoreBundle\Controller\ApplicationController->applicationAction($slug)
Elements of an application can provide Ajax endpoints for their client side widgets. These are routed as follows:
/application/{slug}/element/{id}/{action} => Mapbender\CoreBundle\Controller\ApplicationController->elementAction($slug, $id, $action)
Note: This controller calls the httpAction method if the element class and passes the $action parameter and returns the response given by that function. So for the real magic for element Ajax behaviour take a look at the httpAction method of the elements.
Backend¶
The backend is handled by the ManagerBundle, which provides (will provide) an consistent backend for managing all aspects of an Mapbender3 application: applications, layers, elements, users, settings.
For each section a own controller class exists within this bundle:
- ApplicationController - Manage applications
- GroupController - Manage user groups
- LayerController - Manage layers
- RepositoryController - Manage the layer repository
- SettingsController - Manage common settings
- UserController - Manage users
- plus an ManagerController which provides some common functionality for the other controllers.
Each of the these controllers (right now work is going on within the ApplicationController) is a good example of what we think of as good kinda RESTful URLs.


Biosketch
I received the Laurea (M.S.) degree in Mathematics from the University of Milan (IT) in 2011.
After a stage with Lilli & Bea in the Applied Math Group of AST labs of St Microelectronics in Agrate (MB, IT), in 2012 I started my PhD in Applied Mathematics and Statistic for Computation Science at the University of Milan. I worked under the supervision of Andrea Fusiello and in 2015, I received the PhD with a thesis on robust multiple model fitting for Computer Vision applications.
From 2015 to 2018, I have been a post-doc researcher first at the University of Verona (Dept. of Computer Science) and then at the University of Udine (DPIA). In these periods I collaborated with 3DFlow srl on 3D reconstruction themes (photometric stereo, bundle adjustment and automatic indoor floor plan acquisition).
In 2018-2019 I joined the R&D group of FARO Technologies (Rezzato, IT) where I worked as a 3D software Engineer on acquisition and registration techniques for structured light scanner.
Now I am at Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano (DEIB) as a post-doc researcher with Giacomo Boracchi.
- Curriculum Vitae: [short cv, full cv ita]
- Publications
I’m involved in activities for the popularization of mathematics, give a look at dramath if you are interested.