module Genarray:{
..}
type t'a 'b 'c
=Bigarray.Genarray.t 'a 'b 'c
Genarray.t
is the type of big arrays with variable
numbers of dimensions. Any number of dimensions between 1 and 16
is supported.
The three type parameters to Genarray.t
identify the array element
kind and layout, as follows:
'a
, is the OCaml type for accessing array
elements (float
, int
, int32
, int64
, nativeint
);'b
, is the actual kind of array elements
(float32_elt
, float64_elt
, int8_signed_elt
, int8_unsigned_elt
,
etc);'c
, identifies the array layout
(c_layout
or fortran_layout
).(float, float32_elt, fortran_layout) Genarray.t
is the type of generic big arrays containing 32-bit floats
in Fortran layout; reads and writes in this array use the
OCaml type float
.let create : BatBigarray.kind 'a 'b =>
BatBigarray.layout 'c => array int => t 'a 'b 'c
Genarray.create kind layout dimensions
returns a new big array
whose element kind is determined by the parameter kind
(one of
float32
, float64
, int8_signed
, etc) and whose layout is
determined by the parameter layout
(one of c_layout
or
fortran_layout
). The dimensions
parameter is an array of
integers that indicate the size of the big array in each dimension.
The length of dimensions
determines the number of dimensions
of the bigarray.
For instance, Genarray.create int32 c_layout [|4;6;8|]
returns a fresh big array of 32-bit integers, in C layout,
having three dimensions, the three dimensions being 4, 6 and 8
respectively.
Big arrays returned by Genarray.create
are not initialized:
the initial values of array elements is unspecified.
Raises Invalid_argument
if the number of dimensions
is not in the range 1 to 16 inclusive, or if one of the dimensions
is negative.
let num_dims : t 'a 'b 'c => int
let dims : t 'a 'b 'c => array int
Genarray.dims a
returns all dimensions of the big array a
,
as an array of integers of length Genarray.num_dims a
.let nth_dim : t 'a 'b 'c => int => int
Genarray.nth_dim a n
returns the n
-th dimension of the
big array a
. The first dimension corresponds to n = 0
;
the second dimension corresponds to n = 1
; the last dimension,
to n = Genarray.num_dims a - 1
.Invalid_argument
if n
is less than 0 or greater or equal than
Genarray.num_dims a
.let kind : t 'a 'b 'c => BatBigarray.kind 'a 'b
let layout : t 'a 'b 'c => BatBigarray.layout 'c
let size_in_bytes : t 'a 'b 'c => int
size_in_bytes a
is the number of elements in a
multiplied
by a
's BatBigarray.kind_size_in_bytes
.let get : t 'a 'b 'c => array int => 'a
Genarray.get a [|i1; ...; iN|]
returns the element of a
whose coordinates are i1
in the first dimension, i2
in
the second dimension, ..., iN
in the N
-th dimension.
If a
has C layout, the coordinates must be greater or equal than 0
and strictly less than the corresponding dimensions of a
.
If a
has Fortran layout, the coordinates must be greater or equal
than 1 and less or equal than the corresponding dimensions of a
.
Raises Invalid_argument
if the array a
does not have exactly N
dimensions, or if the coordinates are outside the array bounds.
If N > 3
, alternate syntax is provided: you can write
a.{i1, i2, ..., iN}
instead of Genarray.get a [|i1; ...; iN|]
.
(The syntax a.{...}
with one, two or three coordinates is
reserved for accessing one-, two- and three-dimensional arrays
as described below.)
let set : t 'a 'b 'c => array int => 'a => unit
Genarray.set a [|i1; ...; iN|] v
stores the value v
in the
element of a
whose coordinates are i1
in the first dimension,
i2
in the second dimension, ..., iN
in the N
-th dimension.
The array a
must have exactly N
dimensions, and all coordinates
must lie inside the array bounds, as described for Genarray.get
;
Raises Invalid_argument
otherwise.
If N > 3
, alternate syntax is provided: you can write
a.{i1, i2, ..., iN} <- v
instead of
Genarray.set a [|i1; ...; iN|] v
.
(The syntax a.{...} <- v
with one, two or three coordinates is
reserved for updating one-, two- and three-dimensional arrays
as described below.)
let sub_left : t 'a 'b BatBigarray.c_layout =>
int => int => t 'a 'b BatBigarray.c_layout
Genarray.sub_left a ofs len
returns a big array with the same number of dimensions as a
,
and the same dimensions as a
, except the first dimension,
which corresponds to the interval [ofs ... ofs + len - 1]
of the first dimension of a
. No copying of elements is
involved: the sub-array and the original array share the same
storage space. In other terms, the element at coordinates
[|i1; ...; iN|]
of the sub-array is identical to the
element at coordinates [|i1+ofs; ...; iN|]
of the original
array a
.
Genarray.sub_left
applies only to big arrays in C layout.
Raises Invalid_argument
if ofs
and len
do not designate
a valid sub-array of a
, that is, if ofs < 0
, or len < 0
,
or ofs + len > Genarray.nth_dim a 0
.
let sub_right : t 'a 'b BatBigarray.fortran_layout =>
int => int => t 'a 'b BatBigarray.fortran_layout
Genarray.sub_right a ofs len
returns a big array with the same number of dimensions as a
,
and the same dimensions as a
, except the last dimension,
which corresponds to the interval [ofs ... ofs + len - 1]
of the last dimension of a
. No copying of elements is
involved: the sub-array and the original array share the same
storage space. In other terms, the element at coordinates
[|i1; ...; iN|]
of the sub-array is identical to the
element at coordinates [|i1; ...; iN+ofs|]
of the original
array a
.
Genarray.sub_right
applies only to big arrays in Fortran layout.
Raises Invalid_argument
if ofs
and len
do not designate
a valid sub-array of a
, that is, if ofs < 1
, or len < 0
,
or ofs + len > Genarray.nth_dim a (Genarray.num_dims a - 1)
.
let slice_left : t 'a 'b BatBigarray.c_layout =>
array int => t 'a 'b BatBigarray.c_layout
Genarray.slice_left a [|i1; ... ; iM|]
returns the ``slice''
of a
obtained by setting the first M
coordinates to
i1
, ..., iM
. If a
has N
dimensions, the slice has
dimension N - M
, and the element at coordinates
[|j1; ...; j(N-M)|]
in the slice is identical to the element
at coordinates [|i1; ...; iM; j1; ...; j(N-M)|]
in the original
array a
. No copying of elements is involved: the slice and
the original array share the same storage space.
Genarray.slice_left
applies only to big arrays in C layout.
Raises Invalid_argument
if M >= N
, or if [|i1; ... ; iM|]
is outside the bounds of a
.
let slice_right : t 'a 'b BatBigarray.fortran_layout =>
array int => t 'a 'b BatBigarray.fortran_layout
Genarray.slice_right a [|i1; ... ; iM|]
returns the ``slice''
of a
obtained by setting the last M
coordinates to
i1
, ..., iM
. If a
has N
dimensions, the slice has
dimension N - M
, and the element at coordinates
[|j1; ...; j(N-M)|]
in the slice is identical to the element
at coordinates [|j1; ...; j(N-M); i1; ...; iM|]
in the original
array a
. No copying of elements is involved: the slice and
the original array share the same storage space.
Genarray.slice_right
applies only to big arrays in Fortran layout.
Raises Invalid_argument
if M >= N
, or if [|i1; ... ; iM|]
is outside the bounds of a
.
let blit : t 'a 'b 'c => t 'a 'b 'c => unit
Genarray.blit src dst
copies all elements of src
into
dst
. Both arrays src
and dst
must have the same number of
dimensions and equal dimensions. Copying a sub-array of src
to a sub-array of dst
can be achieved by applying Genarray.blit
to sub-array or slices of src
and dst
.let fill : t 'a 'b 'c => 'a => unit
Genarray.fill a v
stores the value v
in all elements of
the big array a
. Setting only some elements of a
to v
can be achieved by applying Genarray.fill
to a sub-array
or a slice of a
.let map_file : Unix.file_descr =>
pos::int64? =>
BatBigarray.kind 'a 'b =>
BatBigarray.layout 'c => bool => array int => t 'a 'b 'c
Genarray.map_file fd kind layout shared dims
returns a big array of kind kind
, layout layout
,
and dimensions as specified in dims
. The data contained in
this big array are the contents of the file referred to by
the file descriptor fd
(as opened previously with
Unix.openfile
, for example). The optional pos
parameter
is the byte offset in the file of the data being mapped;
it default to 0 (map from the beginning of the file).
If shared
is true
, all modifications performed on the array
are reflected in the file. This requires that fd
be opened
with write permissions. If shared
is false
, modifications
performed on the array are done in memory only, using
copy-on-write of the modified pages; the underlying file is not
affected.
Genarray.map_file
is much more efficient than reading
the whole file in a big array, modifying that big array,
and writing it afterwards.
To adjust automatically the dimensions of the big array to
the actual size of the file, the major dimension (that is,
the first dimension for an array with C layout, and the last
dimension for an array with Fortran layout) can be given as
-1
. Genarray.map_file
then determines the major dimension
from the size of the file. The file must contain an integral
number of sub-arrays as determined by the non-major dimensions,
Raises Failure
otherwise.
If all dimensions of the big array are given, the file size is
matched against the size of the big array. If the file is larger
than the big array, only the initial portion of the file is
mapped to the big array. If the file is smaller than the big
array, the file is automatically grown to the size of the big array.
This requires write permissions on fd
.
let iter : ('a => unit) => t 'a 'b 'c => unit
iter f a
applies function f
in turn to all
the elements of a
.let iteri : (BatArray.Cap.t int [ `Read ] => 'a => unit) =>
t 'a 'b 'c => unit
BatBigarray.Genarray.iter
, but the function is applied to the index of
the element as the first argument, and the element itself as
the second argument.let modify : ('a => 'a) => t 'a 'b 'c => unit
modify f a
changes each element x
in a
to f x
in-place.let modifyi : (BatArray.Cap.t int [ `Read ] => 'a => 'a) =>
t 'a 'b 'c => unit
BatBigarray.Genarray.modify
, but the function is applied to the index of
the coordinates as the first argument, and the element itself
as the second argument.let enum : t 'a 'b 'c => BatEnum.t 'a
enum e
returns an enumeration on the elements of e
.
The order of enumeration is unspecified.let map : ('a => 'b) =>
Bigarray.kind 'b 'c =>
t 'a 'd 'e => t 'b 'c 'e
map f kind a
applies function f
to all the elements of a
,
and builds a Bigarray.t
of kind kind
with the results
returned by f
.let mapi : (BatArray.Cap.t int [ `Read ] => 'a => 'b) =>
Bigarray.kind 'b 'c =>
t 'a 'd 'e => t 'b 'c 'e
BatBigarray.Genarray.map
, but the function is applied to the index of the
coordinates as the first argument, and the element itself as the
second argument.


Image should be small (~200x200 pixels), otherwise fitness computation is very slow.
Start
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Fitness
3249
Improvements
585555
Mutations
Stop
52m 11s
Elapsed time
189.6
Mutations per second
Export DNA
Export SVG
Import DNA
Mutation
Gaussian
Soft
Medium
Hard
new
-
+
50
Polygons
-
+
6
Vertices
Initialize DNA
Color
White
Black


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Drawing manga is my specialization, been doing art since my elementary school times.
I like to read. Anything that piques my interest. I often read technical stuff related to CS, other than that I read philosophy books, sci-fi books, some socialism things as well.
Movie, anime, interesting YouTube Video mostly it's about science, AI, sci-fi, comedy and oh I have a good taste on selecting what TV series to watch.
Creator of Keras, his insights are quite nice. I enjoyed his Tweets and his elaboration on his ideas.
Workaholic person who got innovative companies under his palm.
A wise, genius, hard worker, and succesful person yet very humble and down to earth. My lifelong inspiration.


Manual
How to publish your data on Yoda
Introduction
Yoda is a data management system and stands for “Your Data”. Think of it
as a way to store, manage, share, secure, add metadata and publish your
research data.
Yoda enables you
to:
· Publish your dataset with a DOI enabling
you to:
· Refer to your dataset in articles or other
datasets
· Allowing access to your dataset (or not)
· Make your dataset findable in the Yoda
Catalogue via its metadata
· Store your data for at least 10 years in a
frozen state together with a standardized set of metadata
· Collaborate with fellow researchers on
research data in a shared data storage
This manual describes the steps a researcher needs to take to store and publish
his/her research data on YODA with a DOI.
For more information about how to collaborate with fellow researchers
please go to https://yoda.sites.uu.nl
Workflow store and publish data on Yoda
1.1 Connect
from Mac
Go to Finder
1.2 Connect to Yoda file storage from Windows
Click on This PC
then right click
Instead of https://your_server_name.data.uu.nl shown in the image
below
type https://i-lab.data.uu.nl
In this next step you will drag and drop data
from your PC or laptop’s folder to Yoda. The screenshots below show this for a
Mac, for Windows the procedure is similar.
The data you just stored needs to have a standardised (for IMAU) set of metadata so that it will be
findable in the Yoda Catalogue. Suppose you have the ‘analysis’ subfolder in
Yoda that you added in section 2. This section shows how to add Metadata to this
folder.
First sign in with your solis-id
and password
Make sure that you fill in all the 5 mandatory fields
Click the save button if you want to test this
If you go back later to finish the screen you will see this:
Fill in at least all mandatory fields
Before you submit the data lock the data to secure it
Yoda will lock the data
when it is submitted to the so called Vault.
The Vault is the place to
store the data for a longer period. Only checked data will find its way to the Vault.
Data is stored in the Vault as a datapackage:
data together with its metadata. Only datapackages in
the Vault can be published (to guarantee integrity of the publication)
In case a user locked the
data, it can be unlocked at any time.
Through submitting you can copy
(part of) your folder-tree in the Research Area to
the Vault for long term storage. This part of the folder tree
is called a datapackage.
You can submit a datapackage
by navigating in the Portal to a folder in your Research
Area and submit it to the Vault.
Submit is only possible after adding Metadata.
Ready! You submitted the data
As a researcher, you can
choose to publish your data.
By publishing you can make the metadata of your datapackage
findable in the Catalogue.
You can only publish a datapackage
already archived in the Vault. Please note that making the metadata
accessibility does not imply that the data in the datapackage
is accessible as well. To enable the accessibility of
the datapackage, you should set
the Data Package Access in the metadata form to Open
– freely retrievables.
Researcher
Publishing is initiated by
the researcher in the Research module.
In the next example we consider the group “myresearch-data”.
With subfolders:
We want to publish “documentation”
Note that it is a datapackage in the Vault that can be published.
So the data you want to publish can only be found in “vault-myresearch-data”.
As a researcher you have, besides
the listing of the research-…….., a listing of the
vault-…….. of your usergroups.
See Grant/Revoke access of researcher.
You could find the package by a search by status
“Unpublished” in the Vault.
Click the dropdown next to
“Unpublished” and choose “Submit for publication”.
You get an important
message.
You have to confirm the
agreement.
A message “Submission
pending” is shown.
The datamanager
will do a search on “Submitted for publication”.
The datamanager will check
your package and Approve for publication.
The status will show “Approved for publication
”
And after a while (refresh screen) the
status will be “Published”.
As a researcher
you will find your package in the listing after a search on “Published”.


FEBBWEISS' YAHTZEE!
- Three of a kind
- Three dice showing the same face (Ex. Three 3's)
- Scoring: Sum of all dice
- Four of a kind
- Four dice showing the same face (Ex. Four 5's)
- Scoring: Sum of all dice
- Full House
- A three-of-a-kind and a pair (Ex. Three 1's and Two 4's)
- Scoring: 25 points
- Small straight
- Four sequential dice (Ex. 2, 3, 4, 5)
- Scoring: 30 points
- Large straight
- Five sequential dice (Ex. 2, 3, 4, 5, 6)
- Scoring: 40 points
- Yahtzee
- Five dice showing the same face (Ex. Five 4's)
- Scoring: 50 points
- Chance
- Scoring: Sum of all dice
| Final Score |
| Upper grid score |
|
| Bonus |
|
| Lower grid score |
|
| Total |
|


Magtek Demo
Getting device ID ...
Insert Smart Card ...
Run cURL on terminal for get RAW data
Getting device ID ...
Insert Smart Card ...
Run cURL on terminal for get RAW data


CHADAKOIN
Chadakoin is a libaray to provide remote URL reading abilities to the InputStream class. Currently the InputStream and FileHandle classes only read file URLs (URLs that use the “file://” protocol) but not other protocols such as “http”, “https”, and “ftp”. For non-file URLs you have to use the URL Loading System which is a bit like killing house flies with an atom-bomb. This library attempts to simplify that greatly.
Usage
Using this library is pretty simple. I’ve create a new static factory method for the InputStream class to facilitate creating an instance of InputStream that reads from a URL.
guard let url = URL(string: "https://www.w3.org/2001/XMLSchema.xsd") else { fatalError("Malformed URL.") }
let inputStream = try InputStream.getInputStream(url: url)
guard let str = String(fromInputStream: inputStream, encoding: .utf8) else { fatalError("Could not read data.") }
print(str)
Options
There are various options that can be specified:
- NoCellularAccess - The connection will fail if the device is on a cellular network. The default is allow connections on cellular networks.
- NoConstrainedNetworkAccess - The connection will fail if the device is on a slow or constrained network. The default is to allow connections on constrained networks.
- NoExpensiveNetworkAccess - The connection will fail if the device is on a metered (pay-by-the-byte) network. The default is to allow connections on metered networks.
- NeverAcceptCookies - The connection will not receive cookies. The default is to accept all cookies.
- NeverAccept3rdPartyCookies - The connection will not receive 3rd party cookies. The default is to accept all cookies.
- IgnoreLocalCache - The connection will ignore any locally cached data. The default is to use the default caching policy specified by the protocol.
- IgnoreRemoteCache - The connection will ignore any remote cached data. This setting also implies IgnoreLocalCache. The default is to use the default caching policy specified by the protocol.
To create an InputStream using options:
let inputStream = try InputStream.getInputStream(url: url, options: [ .NoCellularAccess, .IgnoreLocalCache ])
Stream Properties
Several new Stream.PropertyKeys have been added to support remote URLs. They include the following:
- mimeTypeKey - Returns a String containing the MIME type returned by the remote host.
- textEncodingNameKey - Returns a String containing the text encoding of the data or nil if the encoding is not known.
- httpStatusCodeKey - If the URL was an HTTP/HTTPS request then this key returns a value of type Int containing the numeric response, such as 404, that was returned by the remote host or nil if the URL was not an HTTP/HTTPS request.
- httpStatusTextKey - If the URL was an HTTP/HTTPS request then this key returns a value of type String containing the human readable response to the numeric response. For example, if the numeric response was 404 then the human readable response will be “not found”. This key will return nil if the URL was not an HTTP/HTTPS request.
- httpHeadersKey - If the URL was an HTTP/HTTPS request then this key returns a value of type [AnyHashable:Any] that contains all of the headers returned by the remote host. If the URL was not an HTTP/HTTPS request then the Dictionary will be empty.
- httpCookiesKey - If the URL was an HTTP/HTTPS request then this key returns a value of type [HTTPCookie], where the values are of type HTTPCookie, that contains all of the cookies, if any, returned by the remote host. If the URL was not an HTTP/HTTPS request or the NeverAcceptCookies option was specified then the Array will always be empty.
Authentication
Simple authentication can be accomplished by providing a closure of type (URLProtectionSpace) -> AuthenticationResponse
. Authentication response is defined as:
public enum AuthenticationResponse {
case Credentials(username: String, password: String)
case UseDefault
case Cancel
case RejectProtectionSpace
}
- Credentials - Return this enum with the username and password to return to the remote host.
- UseDefault - Return this enum to indicate that the protocols default handling of an Authentication Challenge should be used.
- Cancel - Return this enum to cancel the request in response to an Authentication Challenge. The connection will fail.
- RejectProtectionSpace - Return this enum to reject this challenge, and call the authentication closure again with the next authentication protection space. This response is only appropriate in fairly unusual situations. For example, a Windows server might use both NSURLAuthenticationMethodNegotiate and NSURLAuthenticationMethodNTLM. If your app can only handle NTLM, you would want to reject the Negotiate challenge, in order to then receive the queued NTLM challenge.
API Documentation
Documentation of the API can be found here: Chadakoin API
Why the name Chadakoin?
Borrowing from the concept of being able to read from a stream, the Chadakoin is a river in Western New York which drains Chautauqua Lake, eventually, into the Gulf of Mexico. See Chadakoin River


TVAudioRecognitionViewControllerDelegate
@protocol TVAudioRecognitionViewControllerDelegate
Delegate protocol for TVAudioRecognitionViewController
. Includes methods for notifying the client about occured events during it’s lifecycle.
-
-audioRecognitionViewController:userDidTapOnFacebookLoginButtonWithSubscriptionEnabled:hostViewController:
Called when the user taps on
Facebook Login
button after being presented with partnership program description screen.Declaration
Objective-C
- (void)audioRecognitionViewController: (nonnull TVAudioRecognitionViewController *)viewController userDidTapOnFacebookLoginButtonWithSubscriptionEnabled: (BOOL)subscriptionEnabled hostViewController: (nonnull __kindof UIViewController *)hostViewController;
Swift
func audioRecognitionViewController(_ viewController: TVAudioRecognitionViewController, userDidTapOnFacebookLoginButtonWithSubscriptionEnabled subscriptionEnabled: Bool, hostViewController: UIViewController)
Parameters
viewController
TVAudioRecognitionViewController
that called this method.subscriptionEnabled
Whether or not the user has checked the
Subscribe
checkbox.hostViewController
View controller to use for presenting another view controllers on the client side, such as FB SDK Login WebView etc.
-
-audioRecognitionViewController:userDidTapOnTwitterLoginButtonWithSubscriptionEnabled:hostViewController:
Called when the user taps on
Twitter Login
button after being presented with partnership program description screen.Declaration
Objective-C
- (void)audioRecognitionViewController: (nonnull TVAudioRecognitionViewController *)viewController userDidTapOnTwitterLoginButtonWithSubscriptionEnabled: (BOOL)subscriptionEnabled hostViewController: (nonnull __kindof UIViewController *) hostViewController;
Swift
func audioRecognitionViewController(_ viewController: TVAudioRecognitionViewController, userDidTapOnTwitterLoginButtonWithSubscriptionEnabled subscriptionEnabled: Bool, hostViewController: UIViewController)
Parameters
viewController
TVAudioRecognitionViewController
that called this method.subscriptionEnabled
Whether or not the user has checked the
Subscribe
checkbox.hostViewController
View controller to use for presenting another view controllers on the client side, such as FB SDK Login WebView etc.


{% extends "base_generic.html" %} {% load static %} {% block content %}
Welcome to Employee Management System, a very basic Django website developedfor a Company.
Employee Management System is developed for the professional handling of the employee of the whole company. It is a very easy and useful application software which increases the productivity of the business. Our project on Employee Management System has been implemented successfully. We take this opportunity to express our sense of indebtedness and gratitude to all those people who helped us to completing the project.
You have visited this page {{ num_visits }} times. {% endblock %}


Miltonsburg School Days
I
found an article that was hand written by my mother, Gertrude Christman Kahrig,
about Miltonsburg School. It describes
so vividly what life was like for students and the teacher in the Miltonsburg
two-room school. I would like to share
it. Lena Kahrig Pettit
Lena started first grade of school in the
Miltonsburg two-room school in the fall of 1940. Her dad was the bus driver.
Dorothy B. Pennel was her teacher. The Miltonsburg School was located in the
Village of Miltonsburg on what is known as the Campfire Road. This is the road
that leads to the boat landing at Monroe Lake.
The two-room building was erected in the
Eighteen Nineties. One room was used for the Primary Grades and the other for
grades, five, six, seven, and eight. From
1921 until 1929 the grades were put in one room and the other room was used for
a three-year High School. After the High School was closed there were two rooms
for the grade pupils again until 1942, when the enrollment decreased and it was
made into a one-room school. This two-room schoolhouse had three windows in
each room which is more than usual. Lena, and her siblings attended this
school. This school had a wood-burning stove which caused uneven heating, so
the children sitting nearest to the stove became too hot while those in the
farthest corners were too cold. Ink sometimes froze in their inkwells. The
teacher's desk was placed on a raised platform to face the students while a
blackboard occupied the wall behind. There were 20-30 children in eight grades.
The children of all ages were learning different lessons at the same time. The
cloakroom acted as a buffer against the blistery winter winds. The children
hung their coats on a peg in this cold room.
Without
plumbing and running water, pupils drank from the same water bucket and dipper
kept in one corner of the room. Bathrooms were outhouses built on the school
property 100 feet from the schoolhouse. Yards and fields adjacent to the school
were used for play during recess and lunch. The jailhouse was on the adjacent
property also. The children would talk to the men who were locked in the jail.
The teacher and the students would repeat the Pledge of Allegiance and The
Lord's Prayer each morning at the beginning of the school session. During the war,
all the children were asked to gather milkweed pods for the Government. They
were used to fill parka jackets for the servicemen. These gatherings were
stored in the empty side of the two-room school. Somebody, without knowing what
would happen if the bag was opened, did so and the dry fluffy milkweed inside
flew all over the classroom. Naturally, no one admitted to doing this. Some of
the teachers remembered were Amos Copeland, Marie Straight, Helma Christman,
Dorothy Pennell, Agnes Block Norris and Harold P. Christman.
The school was closed in the spring of
1957. The pupils began attending the Woodsfield Elementary, Monroefield
Elementary, Woodsfield High School and Lewisville High School. The building, was then owned by Mrs. Lou
Stillion and used for storage.
Author: Gertrude Christman Kahrig. Provided by Lena
Kahrig Pettit -- e-mail: Lena
Pettit
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return to:
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of Miltonsburg School 1906-07
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of Miltonsburg School 1915-16
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 It’s something kids find intriguing for some reason, possibly because I let them read it if they want to. They’re surprised to see how often I think about school and how much I write down about the things they’re working on.
What I haven’t done, though, is carry long-term thoughts around with me from year to year. I have day to day observations and reflections, but those are very quick snapshots of isolated instances, classes, and students. I head into new school years with the past year fresh in my mind. Students working well in a self-paced environment, collaboration is normal, and they are cooperative learners. At the end of the year. I need to start a book of reminders to check at the beginning of each year. I’m going to title it:
Entry number one: Begin with standards based grading from day one. – I say this because it is too much of a functional jump for many students to handle well from the first day of school. At the beginning, I need to structure a smooth transition from “traditional” grading methods (or the appearance of a traditional method) to the SBG system I would prefer to be in. If you’re new to SBG, Frank Noschese did a fantastic piece on simple standards-based systems that I’m modeling this year in chemistry.
Entry number two: Self pace from day one. – Self pacing is another foreign concept to students. They are not used to working for deadlines coming up on a regular interval. Very few students have the capacity to jump into a self-paced class and do well from day one. I need to direct the learning pace and then slowly ease into a self-paced class setting, once they’ve proven their ability to manage time well.
Entry number three: Student-picked groups all the time – Choosing groups is something I like my kids to do on their own, because it is something that helps me learn about the class dynamics. However, this can quickly turn into hang out time if it isn’t regulated well. It also leads to “point prostitution” (coined by Glenn Arnold) where one person does the work and the group benefits from their labor.
Remember, these are ways NOT to start your flipped learning system. I manage to make these same mistakes year after year, and I’m ready to stop the cycle of frustration I put myself in. I’m not losing hope for the year because I’ve seen what flipped classes can look like when everything runs smoothly. I just need to improve the first few steps needed to help students process the change.
What mistakes have you made? What adjustments or policies have helped your students make the adjustment? Leave your thoughts and tips (both what to do and what not to do) in the comments below.
Written on September 26th, 2012 by Brian Bennett Categorized in: All Flipclass Teaching
Leave a comment


IScalarDbCommandBuilder Members
The IScalarDbCommandBuilder type exposes the following members.
Methods
| Name | Description | |
|---|---|---|
| Equals(System.Object) |
Determines whether the specified object is equal to the current object. (Inherited from Object.) |
|
| Finalize |
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
|
| GetHashCode |
Serves as the default hash function. (Inherited from Object.) |
|
| GetType |
Gets the Type of the current instance. (Inherited from Object.) |
|
| MemberwiseClone |
Creates a shallow copy of the current Object. (Inherited from Object.) |
|
| ToBoolean()()()() |
Indicates the results should be materialized as a Boolean.
|
|
| ToBoolean(String) |
Indicates the results should be materialized as a Boolean.
|
|
| ToBooleanOrNull()()()() |
Indicates the results should be materialized as a nullable Boolean.
|
|
| ToBooleanOrNull(String) |
Indicates the results should be materialized as a nullable Boolean.
|
|
| ToByte()()()() |
Indicates the results should be materialized as a byte.
|
|
| ToByte(String) |
Indicates the results should be materialized as a byte.
|
|
| ToByteArray()()()() |
Indicates the results should be materialized as a byte array.
|
|
| ToByteArray(String) |
Indicates the results should be materialized as a byte array.
|
|
| ToByteOrNull()()()() |
Indicates the results should be materialized as a nullable byte.
|
|
| ToByteOrNull(String) |
Indicates the results should be materialized as a nullable byte.
|
|
| ToDateTime()()()() |
Indicates the results should be materialized as a DateTime.
|
|
| ToDateTime(String) |
Indicates the results should be materialized as a DateTime.
|
|
| ToDateTimeOffset()()()() |
Indicates the results should be materialized as a DateTimeOffset.
|
|
| ToDateTimeOffset(String) |
Indicates the results should be materialized as a DateTimeOffset.
|
|
| ToDateTimeOffsetOrNull()()()() |
Indicates the results should be materialized as a nullable DateTimeOffset.
|
|
| ToDateTimeOffsetOrNull(String) |
Indicates the results should be materialized as a nullable DateTimeOffset.
|
|
| ToDateTimeOrNull()()()() |
Indicates the results should be materialized as a nullable DateTime.
|
|
| ToDateTimeOrNull(String) |
Indicates the results should be materialized as a nullable DateTime.
|
|
| ToDecimal()()()() |
Indicates the results should be materialized as a Decimal.
|
|
| ToDecimal(String) |
Indicates the results should be materialized as a Decimal.
|
|
| ToDecimalOrNull()()()() |
Indicates the results should be materialized as a nullable Decimal.
|
|
| ToDecimalOrNull(String) |
Indicates the results should be materialized as a nullable Decimal.
|
|
| ToDouble()()()() |
Indicates the results should be materialized as a Double.
|
|
| ToDouble(String) |
Indicates the results should be materialized as a Double.
|
|
| ToDoubleOrNull()()()() |
Indicates the results should be materialized as a nullable Double.
|
|
| ToDoubleOrNull(String) |
Indicates the results should be materialized as a nullable Double.
|
|
| ToGuid()()()() |
Indicates the results should be materialized as a Guid.
|
|
| ToGuid(String) |
Indicates the results should be materialized as a Guid.
|
|
| ToGuidOrNull()()()() |
Indicates the results should be materialized as a nullable Guid.
|
|
| ToGuidOrNull(String) |
Indicates the results should be materialized as a nullable Guid.
|
|
| ToInt16()()()() |
Indicates the results should be materialized as a Int16.
|
|
| ToInt16(String) |
Indicates the results should be materialized as a Int16.
|
|
| ToInt16OrNull()()()() |
Indicates the results should be materialized as a nullable Int16.
|
|
| ToInt16OrNull(String) |
Indicates the results should be materialized as a nullable Int16.
|
|
| ToInt32()()()() |
Indicates the results should be materialized as a Int32.
|
|
| ToInt32(String) |
Indicates the results should be materialized as a Int32.
|
|
| ToInt32OrNull()()()() |
Indicates the results should be materialized as a nullable Int32.
|
|
| ToInt32OrNull(String) |
Indicates the results should be materialized as a nullable Int32.
|
|
| ToInt64()()()() |
Indicates the results should be materialized as a Int64.
|
|
| ToInt64(String) |
Indicates the results should be materialized as a Int64.
|
|
| ToInt64OrNull()()()() |
Indicates the results should be materialized as a nullable Int64.
|
|
| ToInt64OrNull(String) |
Indicates the results should be materialized as a nullable Int64.
|
|
| ToSingle()()()() |
Indicates the results should be materialized as a Single.
|
|
| ToSingle(String) |
Indicates the results should be materialized as a Single.
|
|
| ToSingleOrNull()()()() |
Indicates the results should be materialized as a nullable Single.
|
|
| ToSingleOrNull(String) |
Indicates the results should be materialized as a nullable Single.
|
|
| ToString()()()() |
Indicates the results should be materialized as a nullable string.
|
|
| ToString(String) |
Indicates the results should be materialized as a nullable string.
|
|
| ToTimeSpan()()()() |
Indicates the results should be materialized as a TimeSpan.
|
|
| ToTimeSpan(String) |
Indicates the results should be materialized as a TimeSpan.
|
|
| ToTimeSpanOrNull()()()() |
Indicates the results should be materialized as a nullable TimeSpan.
|
|
| ToTimeSpanOrNull(String) |
Indicates the results should be materialized as a nullable TimeSpan.
|
|
| ToXml()()()() |
Materializes the result as an XElement.
|
|
| ToXml(String) |
Materializes the result as an XElement.
|


# Copyright (c) 2021, Soohwan Kim. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch.nn as nn
from torch import Tensor
from typing import Tuple
from conformer.activation import Swish, GLU
from conformer.modules import LayerNorm, Transpose
[docs]class DepthwiseConv1d(nn.Module):
"""
When groups == in_channels and out_channels == K * in_channels, where K is a positive integer,
this operation is termed in literature as depthwise convolution.
Args:
in_channels (int): Number of channels in the input
out_channels (int): Number of channels produced by the convolution
kernel_size (int or tuple): Size of the convolving kernel
stride (int, optional): Stride of the convolution. Default: 1
padding (int or tuple, optional): Zero-padding added to both sides of the input. Default: 0
bias (bool, optional): If True, adds a learnable bias to the output. Default: True
Inputs: inputs
- **inputs** (batch, in_channels, time): Tensor containing input vector
Returns: outputs
- **outputs** (batch, out_channels, time): Tensor produces by depthwise 1-D convolution.
"""
def __init__(
self,
in_channels: int,
out_channels: int,
kernel_size: int,
stride: int = 1,
padding: int = 0,
bias: bool = False,
) -> None:
super(DepthwiseConv1d, self).__init__()
assert out_channels % in_channels == 0, "out_channels should be constant multiple of in_channels"
self.conv = nn.Conv1d(
in_channels=in_channels,
out_channels=out_channels,
kernel_size=kernel_size,
groups=in_channels,
stride=stride,
padding=padding,
bias=bias,
)
[docs] def forward(self, inputs: Tensor) -> Tensor:
return self.conv(inputs)
[docs]class PointwiseConv1d(nn.Module):
"""
When kernel size == 1 conv1d, this operation is termed in literature as pointwise convolution.
This operation often used to match dimensions.
Args:
in_channels (int): Number of channels in the input
out_channels (int): Number of channels produced by the convolution
stride (int, optional): Stride of the convolution. Default: 1
padding (int or tuple, optional): Zero-padding added to both sides of the input. Default: 0
bias (bool, optional): If True, adds a learnable bias to the output. Default: True
Inputs: inputs
- **inputs** (batch, in_channels, time): Tensor containing input vector
Returns: outputs
- **outputs** (batch, out_channels, time): Tensor produces by pointwise 1-D convolution.
"""
def __init__(
self,
in_channels: int,
out_channels: int,
stride: int = 1,
padding: int = 0,
bias: bool = True,
) -> None:
super(PointwiseConv1d, self).__init__()
self.conv = nn.Conv1d(
in_channels=in_channels,
out_channels=out_channels,
kernel_size=1,
stride=stride,
padding=padding,
bias=bias,
)
[docs] def forward(self, inputs: Tensor) -> Tensor:
return self.conv(inputs)
[docs]class Conv2dSubampling(nn.Module):
"""
Convolutional 2D subsampling (to 1/4 length)
Args:
in_channels (int): Number of channels in the input image
out_channels (int): Number of channels produced by the convolution
Inputs: inputs
- **inputs** (batch, time, dim): Tensor containing sequence of inputs
Returns: outputs, output_lengths
- **outputs** (batch, time, dim): Tensor produced by the convolution
- **output_lengths** (batch): list of sequence output lengths
"""
def __init__(self, in_channels: int, out_channels: int) -> None:
super(Conv2dSubampling, self).__init__()
self.sequential = nn.Sequential(
nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=2),
nn.ReLU(),
nn.Conv2d(out_channels, out_channels, kernel_size=3, stride=2),
nn.ReLU(),
)
[docs] def forward(self, inputs: Tensor, input_lengths: Tensor) -> Tuple[Tensor, Tensor]:
outputs = self.sequential(inputs.unsqueeze(1))
batch_size, channels, subsampled_lengths, sumsampled_dim = outputs.size()
outputs = outputs.permute(0, 2, 1, 3)
outputs = outputs.contiguous().view(batch_size, subsampled_lengths, channels * sumsampled_dim)
output_lengths = input_lengths >> 2
return outputs, output_lengths


Wsp if you don't already know me my name is Marcae or "Cae" for short i am a inspired backend developer from the san fransico born an rasied in the "Bay" lived in fillmore all my live.This coding thing is all so new to me still lol it's kinda like learning how to speak "English" all over again But i got a workethic like no other an im commited to the code grind. An with the great people of "Code on point" around me i feel like the sky is the limit for me honestly. Plus I still cant believe i use to walk around not knowing a lick of code for real no H.T.M.L no CSS no non of that but at the end of this 12 week coding program i learned allat an i've build this wedsite from the grown up.


@import services.Product @(listOfProductsFound: List[Product])(term: String) @main("Listing of products corresponding to the search by name") {
| Ean ^v | Name ^v | Description ^v | Price ^v | ||
| @product.ean | @product.name | @product.description | @product.price | details | remove |


Kiwi vodka brand Nitro left inappropriate ad online for weeks after being told to remove it
An advert for a vodka brand that breached advertising rules stayed online for weeks after being ruled inappropriate, despite the advertiser saying it would be removed.
Posted on Facebook on September 6, the advert for Nitro - a ready-to-drink (RTD) vodka mix - showed the feet of two people in bed, one lying face down on the other, with the slogan "no regrets".
The Facebook post said, "NITRO ZERO SUGAR = ZERO REGRETS", and promoted the drink as the "strongest energy RTD formulation", "pumped with Guarana so you may not get that much sleep... which sometimes aint a bad thang", accompanied by a winking emoji.
Lobby group Alcohol Healthwatch complained to the Advertising Standards Authority (ASA) about the post, noting the ASA code states booze companies aren't allowed to "suggest that alcohol can lead to sexual, social, sporting or business success or popularity".
"It is of particular concern that we note this apparent breach so soon after having an upheld complaint against previous advertisements by the same advertiser," said Alcohol Healthwatch director Nikki Jackson.
The ASA upheld the complaint on October 30, saying the advert was to be removed and not used again.
Nitro manufacturer National Brands defended the advert - saying there was "no inference to sexual activity", and the "no regrets" slogan referred its lack of sugar - but told the industry watchdog it had removed the post "without prejudice... to avoid wasting ASA's time".
But as of lunchtime Friday, November 22, it was still there. It disappeared within an hour of Newshub contacting National Brands, which didn't otherwise respond to Newshub's request for an explanation.
Related News
ASA rubbishes public's TV ad complaints in brutal best-of list
National to appeal after ad ruled misleading
ASA chief executive Hilary Souter told Newshub while advertisers' cooperation with its rulings are voluntary, there is usually a very high level of compliance.
"If the ads a problem, you've got to remove the ad. We're actually also working with Nitro, on doing some training for them in the new year."
While it was a simple process to get ads removed from radio and TV, she said Facebook doesn't consider "organic content" posted on brand pages as adverts, so doesn't hold them to the same standards.
Upheld complaints against Nitro in the past have concerned its promotion of excess consumption, including phrases like "chug it till ya cant chug no more" and "three-day bender", and promoting a notorious drinking game called 'scrumpy hands'.
Related News
Kiwi kids exposed to alcohol ads over four times a day - study
Health campaigner ridicules alcohol industry's study
Dr Jackson told Newshub the public wants greater restrictions on alcohol advertising.
"There is an inherent conflict with allowing the industry to take control of its advertising in order to minimise harm. It's like allowing the fox to guard the hen house.
"At the end of the day, the multinational alcohol producers in NZ need to recruit new drinkers and maintain our heavy drinking culture to fill the pockets of international shareholders. Advertising is not just about shifting brand preference, it is about normalising our most harmful drug, portraying it as fun and full of happy times - but today I am visiting an emergency department and that is far from the reality."
She said the Cabinet paper on how a potential legal cannabis market would work includes a ban on advertising.
"So why not the same for alcohol?"


Jonathan Gordon
Jonathan Gordon
Publications
Posts
Experience
Contact
CV
Publications
Type
Conference paper
Journal article
Preprint
Report
Date
2020
2019
2018
2017
Predictive Complexity Priors
Defining priors for machine learning models via complexity considerations in function space.
Eric Nalisnick
,
Jonathan Gordon
,
Jose Miguel Hernandez-Lobato
PDF
Cite
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
We extend ConvCNPs to Construct and meta-learn translation equivariant maps from the space of data sets to predictive stochastic …
Andrew Y. K. Foong*
,
Wessel Bruinsma*
,
Jonathan Gordon*
,
Yann Dubois
,
James Requeima
,
Richard Turner
PDF
Cite
TaskNorm: Rethinking Batch Normalization for Meta-Learning
Deriving a form of batch normalization tailored towards the meta-learning models.
John Bronskill*
,
Jonathan Gordon*
,
James Requeima
,
Sebastian Nowozin
,
Richard Turner
PDF
Cite
Code
Convolutional Conditional Neural Processes
We extend deep sets to functional embeddings and Neural Processes to include translation equivariant members (Oral Presentaiton).
Jonathan Gordon*
,
Wessel Bruinsma*
,
Andrew Y. K. Foong
,
James Requeima
,
Yann Dubois
,
Richard Turner
PDF
Cite
Code
Permutation Equivariant Models for Compositional Generalization in Language
We propose a link between permutation equivariance and compositional generalization, and provide equivariant language models
Jonathan Gordon
,
David Lopez-Paz
,
Marco Baroni
,
Diane Bouchecourt
PDF
Cite
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
Powerful meta-learning system based on the neural process framework (Spotlight)
James Requeima*
,
Jonathan Gordon*
,
John Bronskill*
,
Sebastian Nowozin
,
Richard Turner
PDF
Cite
Code
Dataset
Poster
Slides
Bayesian Batch Active Learning as Sparse Subset Approximation
We reconsider the active learning problem, leveraging advances in Bayesian coresets to relieve the standard myopic assumption.
Robert Pinsler
,
Jonathan Gordon
,
Eric Nalisnick
,
Jose Miguel Hernandez-Lobato
PDF
Cite
Code
Combining Deep Generative and Discriminative Models for Bayesian Semi-Supervised Learning
We introduce a framework for combining deep generative and discriminative models for semi-supervised learning.
Jonathan Gordon
,
Jose Miguel Hernandez-Lobato
PDF
Cite
Meta Learning Probabilistic Inference for Prediction
We introduce ML-PIP, a general probabilistic framework for meta-learning
Jonathan Gordon*
,
John Bronskill*
,
Matthias Bauer
,
Sebastian Nowozin
,
Richard Turner
PDF
Cite
Code
Refining the Variational Posterior Through Iterative Optimization
Iteratively improving variational posteriors for BNNs with gradient descent and auxiliary variables.
Marton Havasi
,
Jasper Snoek
,
Dustin Tran
,
Jonathan Gordon
,
Jose Miguel Hernandez-Lobato
PDF
Cite
VERSA: Versatile and Efficient Few-shot Learning
Introducing VERSA, an efficient and flexible few-shot learner based on amortized inference.
Jonathan Gordon
,
John Bronskill
,
Matthias Bauer
,
Sebastian Nowozin
,
Richard Turner
PDF
Cite
Consolidating the Meta-Learning Zoo: A Unifying Perspective as Posterior Predictive Inference
A unifying perspective on meta-learning algorithms based on posterior predictive inference.
Jonathan Gordon
,
John Bronskill
,
Matthias Bauer
,
Sebastian Nowozin
,
Richard Turner
PDF
Cite
Probabilistic Neural Architecture Search
A probabilistic and differentiable framework for neural architecture search that improves speed and memory efficiency.
Francesco Paolo Casale
,
Jonathan Gordon
,
Nicolo Fusi
PDF
Cite
Cite
×


General Duties
28 Aug 2016Always check the Google Calendar to see what company you’ll be working with for your shift. If you’re lucky, the visiting artists have been responsive, thought ahead, and had the foresight to fully plan out their performance details. If so, a basic rundown of what needs to be done will be in the calendar notes section. Make a mental note of these tasks and be prepared to accomplish all. Ask questions ahead of time if you have any, such as “Do we need to check out any gear from the cage?” or “What time is the talent arriving?”
Clocking in and out is important; don’t mess this part up or HR will start to dislike you as a person. They are the ones that write your checks, so seriously, don’t mess this part up. It’s your responsibility to remember to do this. If for some reason you forgot to clock in or out at the right time, immediately send an email to Erin detailing the time/date that you did clock in/out vs the time/date that you were supposed to clock in/out. Words like “today”, “yesterday” and “last Monday” don’t cut it.
As stated in the Stagehand Guide, you should dress appropriately to each crew call.
If your shift is scheduled at the same time as an event on the Performance calendar, do not fail to dress the part. If you are normally backstage, you must wear black head to toe. If you know you will be sitting at front of house, you can either wear all blacks or professional clothing.
If your shift is scheduled at the same time as something on the Rehearsal calendar, feel free to relax those standards a bit. If nothing else is scheduled coinciding with your shift, you can expect tech work and should wear more comfortable clothes that you don’t mind getting dirty.
 This is not a union house–you can cross between departments. Whoever you may be, meet up with the rest of the crew or the members of a visiting production team. Understand what is expected of you throughout the show.
During the Show
Even if you do not have anything to do for a while, do not busy yourself with homework, reading, or facebook. Your actions distract audience members and artists while you end up looking lazy to the other professionals. Watch and pay attention to the show. You never know what is going to happen on stage and if you’re not paying attention, you’ll miss your cue. If you cannot spare four or six hours to work a show, then you should not take the shift.
Be extra quiet while a performance is taking place. The hall was designed with acoustics in mind. Someone speaking at a normal volume on stage can be heard throughout the entire room. Remember this when talking through clear com at the FOH position, especially during quieter parts of the show. With a headset on, what might seem like a whisper to you can be heard by everyone around you.
If for any reason you need to walk away from your post for a moment, let the rest of the crew know by saying, “[your name] going off headset.” Give the other crew members a second to respond in case they have something important to say before you go. When you return, let them know you’re back on.
Always, always act professionally. Your actions reflect the entire crew, your bosses, the venue and building.


See: Description
| Class | Description |
|---|---|
| AreaChart<X,Y> |
AreaChart - Plots the area between the line that connects the data points and
the 0 line on the Y axis.
|
| Axis<T> |
Base class for all axes in JavaFX that represents an axis drawn on a chart area.
|
| Axis.TickMark<T> |
TickMark represents the label text, its associated properties for each tick
along the Axis.
|
| BarChart<X,Y> |
A chart that plots bars indicating data values for a category.
|
| BubbleChart<X,Y> |
Chart type that plots bubbles for the data points in a series.
|
| CategoryAxis |
A axis implementation that will works on string categories where each
value as a unique category(tick mark) along the axis.
|
| Chart |
Base class for all charts.
|
| LineChart<X,Y> |
Line Chart plots a line connecting the data points in a series.
|
| NumberAxis |
A axis class that plots a range of numbers with major tick marks every "tickUnit".
|
| NumberAxis.DefaultFormatter |
Default number formatter for NumberAxis, this stays in sync with auto-ranging and formats values appropriately.
|
| PieChart |
Displays a PieChart.
|
| PieChart.Data |
PieChart Data Item, represents one slice in the PieChart
|
| ScatterChart<X,Y> |
Chart type that plots symbols for the data points in a series.
|
| StackedAreaChart<X,Y> |
StackedAreaChart is a variation of
AreaChart that displays trends of the
contribution of each value. |
| StackedBarChart<X,Y> |
StackedBarChart is a variation of
BarChart that plots bars indicating
data values for a category. |
| ValueAxis<T extends Number> |
A axis who's data is defined as Numbers.
|
| XYChart<X,Y> |
Chart base class for all 2 axis charts.
|
| XYChart.Data<X,Y> |
A single data item with data for 2 axis charts
|
| XYChart.Series<X,Y> |
A named series of data items
|
| Enum | Description |
|---|---|
| LineChart.SortingPolicy |
This enum defines a policy for
LineChart.axisSortingPolicyProperty() . |
The JavaFX User Interface provides a set of chart components that are a very convenient way for data visualization. Application developers can make use of these off-the-rack graphical charts provided by the SDK, to visualize a wide variety of data.
Commom types of charts such as Bar
, Line
, Area
, Pie
, Scatter
and Bubble
charts are provided. These
charts are easy to create and are customizable. JavaFX Charts API is
a visual centric API rather than model centric.
JavaFX charts supports animation of chart components as well as auto ranging of chart Axis. In addition, as with other JavaFX UI controls, chart visual components can be styled via CSS. Thus, there are several public visual properties that can be styled via CSS. An example is provided later in the document.
Below is a table listing the existing Chart types and a brief summary of their intended use.
|
Chart |
Summary |
|---|---|
|
Plots line between the data points in a series. Used usually to view data trends over time. |
|
|
Plots the area between the line that connects the data points and the axis. Good for comparing cumulated totals over time. |
|
|
Plots rectangular bars with heights indicating data values they represent, and corresponding to the categories they belongs to. Used for displaying discontinuous / discrete data |
|
|
Plots circular chart divided into segments with each segment representing a value as a proportion of the total. It looks like a Pie and hence the name |
|
|
Plots bubbles for data points in a series. Each plotted entity depicts three parameters in a 2D chart and hence a unique chart type. |
|
|
Plots symbols for the data points in a series. This type of chart is useful in viewing distribution of data and its corelation, if there is any clustering. |
The Chart
is the baseclass for all
charts. It is responsible for drawing the background, frame, title
and legend. It can be extended to create custom chart types. The
XYChart
is the baseclass for all two axis
charts and it extends from Chart class. It is mostly responsible for
drawing the two axis and the background of the chart plot. Most
charts extend from XYChart class except for PieChart which extends
from Chart class as it is not a two axis chart.
The javafx.scene.chart
package includes axis classes that
can be used when creating two axis charts. Axis
is the abstract base class of all chart
axis. CategoryAxis
plots string categories
where each value is a unique category along the axis. NumberAxis
plots a range of numbers with major
tick marks every tickUnit.
For Example BarChart plots data from a sequence of XYChart.Series
objects. Each series contains
XYChart.Data
objects.
// add data XYChart.Series<String,Number> series1 = new XYChart.Series<String,Number>(); series1.setName("Data Series 1"); series1.getData().add(new XYChart.Data<String,Number>(“2007”, 567));
We can define more series objects similarly. Following code snippet shows how to create a BarChart with 3 categories and its X and Y axis:
static String[] years = {"2007", "2008", "2009"}; final CategoryAxis xAxis = new CategoryAxis(); final NumberAxis yAxis = new NumberAxis(); final BarChart<String,Number> bc = new BarChart<String,Number>(xAxis,yAxis); xAxis.setCategories(FXCollections.<String>observableArrayList(Arrays.asList(years))); bc.getData().addAll(series1, series2, series3);
JavaFX charts lends itself very well for real time or dynamic
Charting (like online stocks, web traffic etc) from live data sets.
Here is an example of a dynamic chart created with simulated data. A
Timeline
is used to simulate dynamic data
for stock price variations over time(hours).
private XYChart.Series<Number,Number> hourDataSeries; private NumberAxis xAxis; private Timeline animation; private double hours = 0; private double timeInHours = 0; private double prevY = 10; private double y = 10; // timeline to add new data every 60th of a second animation = new Timeline(); animation.getKeyFrames().add(new KeyFrame(Duration.millis(1000 / 60), new EventHandler<ActionEvent>() { @Override public void handle(ActionEvent actionEvent) { // 6 minutes data per frame
for(int count=0; count < 6; count++) {
nextTime(); plotTime();
} }
})); animation.setCycleCount(Animation.INDEFINITE); xAxis = new NumberAxis(0,24,3);
final NumberAxis yAxis = new NumberAxis(0,100,10); final LineChart<Number,Number> lc = new LineChart<Number,Number>(xAxis,yAxis); lc.setCreateSymbols(false); lc.setAnimated(false); lc.setLegendVisible(false); lc.setTitle("ACME Company Stock"); xAxis.setLabel("Time"); xAxis.setForceZeroInRange(false); yAxis.setLabel("Share Price"); yAxis.setTickLabelFormatter(new NumberAxis.DefaultFormatter(yAxis,"$",null)); hourDataSeries = new XYChart.Series<Number,Number>(); hourDataSeries.setName("Hourly Data"); hourDataSeries.getData().add(new XYChart.Data<Number,Number>(timeInHours,prevY)); lc.getData().add(hourDataSeries); private void nextTime() { if (minutes == 59) { hours ++; minutes = 0; } else { minutes ++; } timeInHours = hours + ((1d/60d)*minutes); } private void plotTime() { if ((timeInHours % 1) == 0) { // change of hour double oldY = y; y = prevY - 10 + (Math.random()*20); prevY = oldY; while (y < 10 || y > 90) y = y - 10 + (Math.random()*20); hourDataSeries.getData().add(new XYChart.Data<Number, Number>(timeInHours, prevY)); // after 25hours delete old data if (timeInHours > 25) hourDataSeries.getData().remove(0); // every hour after 24 move range 1 hour if (timeInHours > 24) { xAxis.setLowerBound(xAxis.getLowerBound()+1); xAxis.setUpperBound(xAxis.getUpperBound()+1); } } }
The start method needs to call animation,.play() to start the simulated dynamic chart.
Please refer to javafx.scene.control package documentation on CSS styling. An example for styling a Chart via CSS is as follows:- to set the chart content background to a certain color:
.chart-content { -fx-background-color: cyan;}
Line Chart line color can be styled as follows:-
.chart-series-line { -fx-stroke: green; -fx-stroke-width: 4px;}
Submit a bug or feature
For further API reference and developer documentation, see Java SE Documentation. That documentation contains more detailed, developer-targeted descriptions, with conceptual overviews, definitions of terms, workarounds, and working code examples.
Copyright © 2008, 2021, Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


Ex.1 There are SPANS for select
111, 222, 333, 444, 555Ex.2 There are Paragrafs for select, only P with class 'special' will be selected
there have not special class
there special class is present
there have not special class
there special class is present
there have not special class
Ex.3 Let try found some data in list
- The Node.js philosophy, the "Node way"
- The reactor pattern: the mechanism at the heart of the Node.js asynchronous architecture
- The Node.js callback pattern and its set of conventions
- The module system and its patterns: the fundamental mechanisms for organizing code in Node.js
- The observer pattern and its Node.js incarnation: the EventEmitter class
Ex.4 Let append some data
The Node.js core itself has its foundations built on a few principles; one of these is, having the smallest set of functionality, leaving the rest to the so-called userland (or userspace), the ecosystem of modules living outside the core. This principle has an enormous impact on the Node.js culture, as it gives freedom to the community to experiment and iterate fast on a broader set of solutions within the scope of the userland modules, instead of being imposed with one slowly evolving solution that is built into the more tightly controlled and stable core. Keeping the core set of functionality to the bare minimum then, not only becomes convenient in terms of maintainability, but also in terms of the positive cultural impact that it brings on the evolution of the entire ecosystem.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object atg.rview.CacheInfo
Contains information about the runtime state of the caching system, and of each of the individual caches.
| Field Summary | |
static java.lang.String |
CLASS_VERSION
|
| Constructor Summary | |
CacheInfo()
|
| Method Summary | |
abstract int |
getAccessCount()
Returns the number of times the caches were accessed |
abstract int |
getBytesUsed()
Returns the number of bytes currently held by cache entries. |
abstract CacheInfoEntry[] |
getCacheInfoEntries()
Returns the list of cache info entries representing the state of each individual cache. |
abstract int |
getCacheInvalidationCount()
Returns the number of times a cache was entirely invalidated |
abstract int |
getCapacity()
Returns the maximum number of bytes that can be held by cache entries. |
abstract int |
getEntryInvalidationCount()
Returns the number of times a cache entry was invalidated |
abstract int |
getHitCount()
Returns the number of accesses that were cache hits |
abstract int |
getMissCount()
Returns the number of accesses that were cache misses |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
public static java.lang.String CLASS_VERSION
| Constructor Detail |
public CacheInfo()
| Method Detail |
public abstract int getCapacity()
public abstract int getBytesUsed()
public abstract int getAccessCount()
public abstract int getHitCount()
public abstract int getMissCount()
public abstract int getCacheInvalidationCount()
public abstract int getEntryInvalidationCount()
public abstract CacheInfoEntry[] getCacheInfoEntries()
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


---
layout: post
title: Amazing! Live Linux in your wallet
date: '2011-01-30T16:55:00.000-08:00'
author: Russell Dickenson
tags:
- frugalware
- linux
- pc
- hardware
modified_time: '2012-10-31T21:36:06.999-07:00'
blogger_id: tag:blogger.com,1999:blog-510053790932706340.post-8968646041156176708
blogger_orig_url: http://phayzshift.blogspot.com/2011/01/amazing-live-linux-in-your-wallet.html
---
I recently bought a USB "key" (as they're commonly known here in Australia) which was essentially just the chip wrapped in plastic. It's so small that I'm almost certain to lose it at some point :). I also recently installed my first live Linux installation on a USB key. Live Linux installations are nothing new, and nor are small USB keys. Put the two together, though, and I think they're quite amazing. Imagine I need to run my favourite OS on a foreign PC. I don't need to carry a key in on my belt or hanging from a lanyard, I just need to open my wallet and there it is!


--- layout: home description: Leigh lab members Lund University Wallenberg Centre for Molecular Medicine Lund Stem Cell Center title: "People" author_profile: true permalink: /people/ --- {% for lab_members in site.lab_members %}
{{ lab_members.content | markdownify }}
{% endfor %}


The Web UI Framework (called as TAU; Tizen Advanced UI framework) provides rich Tizen components that are optimized for the Tizen Web browser.
The following table displays the components provided by the Tizen mobile Web UI Framework service.
| UI component | Description |
|---|---|
| Autodividers | Autodividers component extension automatically creates dividers for a list view component. |
| Button | Button component changes the default browser buttons to special buttons with additional features, such as icons, corners, and shadows. |
| Checkbox Radio | Checkbox radio component changes the default browser checkboxes and radio buttons to a form more adapted to the mobile environment. |
| Collapsible | Collapsible component allows you to expand or collapse content when tapped. |
| Control Group | Control group component improves the styling of multiple buttons by grouping them into a single block. |
| Date-time Picker | Date-time picker component shows a control that the user can use to enter date and time values. |
| Drawer | Drawer component allows you to open and close a drawer to show or hide the content inside it. |
| Fast Scroll | Fast scroll component shows a shortcut list that is bound to its parent scroll bar and respective list view. |
| Flip Toggle Switch | Flip toggle switch component is a common UI element used for binary on/off or true/false data input. |
| Gallery | Gallery component shows images in a gallery on the screen. |
| List Divider | List divider component creates a list separator, which can be used for grouping list items. |
| List View | List view component is used to display, for example, navigation data, results, and data entries, in a list format. |
| Multimedia View | Multimedia view component displays the audio and video player. |
| Navigation Bar | Navigation bar component is used inside the header to navigate back and forth according to the navigational history array, which is created by the application. By clicking a horizontally-listed element on the navigation bar, the user can move to the target page. |
| Notification | Notification component shows a pop-up on the screen to provide notifications. |
| Popup | Popup component supports 2 pop-ups: the position-to-window pop-up (like a system pop-up), and the context pop-up. |
| Progress | Progress component shows that an operation is in progress. |
| Progress Bar | Progress bar component shows a control that indicates the progress percentage of an on-going operation. |
| Scroll Handler | Scroll Handler component is an extension for the scroll view component, and adds a scroll button that looks like a handle. |
| Search Bar | Search bar component is used to search for page content. |
| Select Menu | Select menu component is used to select one option. It is created as a drop-down list form. |
| Slider | Slider component changes the range-type browser input to sliders. |
| Swipe | Swipe component shows a list view on the screen where the list items can be swiped vertically to show a menu. |
| Tab Bar | Tab bar component shows an unordered list of buttons on the screen wrapped together in a single group. |
| Token Text Area | Token text area component changes a text item to a button. |


Viewing Info
After you have a few days of data entered, the program should look something like this (though this is all just example data):
This isn't really useful, though. You already know the data, so what's the point of entering it into the program when you could have just kept track of it on paper? WeatherLog isn't completely useless, however, as it can tell you more info about the weather data that has been entered.
Clicking on the toolbar button with the letter "i" on it will show a window with info about the data (selecting Info from the Info menu or pressing Control-I will work as well):
Here you can see an overview of the info. But what if you need something more specific that isn't shown here? You can also see information about each column by clicking on each of the tabs:
Each tab will show different types of information, depending on the column.
Clicking on the Export button allows you to save the data to an HTML file.
If you want to get info about a specific set of data, instead of all of it, you can use either the Info in Range feature or the Info for Selected Dates feature. The first allows you to select two dates and have all of the data between those dates used in the calculations, while the second allows you to select the exact dates to use, even if they are non-consecutive.


For this trial it is important to know that victims of burglary will have a dedicated investigator from the PCU. The investigator is the victims point of contact around the progress of the case and they will manage expectations.
When engaging or contacting the victim it is your role to support, and reassure them with positive messages.
This can also be an opportunity to assess the venue for risk of repeat victimisation or key enablers that make them more attractive to crime. (i.e. protected characteristics)
At this point you may want to employ some crime prevention tactics which can be found on the APP or visit Police.uk
Don’t forget to let the victim know about the victim codes of practice which outlines our commitment to them and the communities of London.


Smart Traffic
Enter the URL to an image of an image you want to analyze.
Image to analyze:
Analyze Image
Response:
Subscription Key:
Subscription Region:
eastus


Why the Enterprise Cant Reach Consumers
Most of my working career has been in what many would call an enterprise environment. Corporate structure well in place at most of them and in those cases any development followed closely to a waterfall methodology. You laid out requirements strictly and then built to those requirements. You essentially had nothing to show until you got to the end product.
Having been in the valley for several years and interacting with some startups and in other settings, I’ve seen a very opposite mindset. The “release early, release often” concept. First you never have clear requirements when dealing with anything a startup should be tackling, if it’s a very clear easy to solve problem, then someone else will have already tackled it.
A prime example would be twitter. Twitter was a simple concept, yet it has been done before in many ways, what’s the difference in blogging and twitter? Well twitter requires you’re shorter, has no title, just content, and centralizes the data. It actually incredibly reduced what the user could do, and in doing that created new and broader functionality.
As a more general principle users don’t know what they want. Users will complain about how gmail doesn’t have folders, but they use folders in outlook only because they can’t properly search. If you take away something from a user, they’re going to complain about it. This is fine, it’s not a problem, as long as they didn’t actually use the feature, and there’s other steps you can use to manage this backlash.
But I’d believe the over arching key is that you can’t ask users what they want. If you presume to know you’re going to be wrong, so what does this mean. This means that you build something and you launch it.  You launch for users, and if they don’t like it, you haven’t upset thousands of customers because you don’t have that many. In consumer land you can launch something without anyone knowing who you are, and then truly test how users will respond, this is far more powerful than the traditional model used in enterprise. It’s the reason most of the biggest sites used today are emergent from startups and similar environments, because they built themselves on what users want.


TYLENOL PM EXTRA STRENGTH- acetaminophen and diphenhydramine hydrochloride tablet, film coated
Johnson & Johnson Consumer Inc., McNeil Consumer Healthcare Division
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
| Active ingredients (in each caplet) |
Purpose |
| Acetaminophen 500 mg |
Pain reliever |
| Diphenhydramine HCl 25 mg |
Nighttime sleep aid |
Uses
temporary relief of occasional headaches and minor aches and pains with accompanying sleeplessness
Warnings
Liver warning
This product contains acetaminophen. Severe liver damage may occur if you take
- more than 4,000 mg of acetaminophen in 24 hours
- with other drugs containing acetaminophen
- 3 or more alcoholic drinks every day while using this product
Allergy alert
acetaminophen may cause severe skin reactions. Symptoms may include:
- skin reddening
- blisters
- rash
If a skin reaction occurs, stop use and seek medical help right away.
Do not use
- with any other drug containing acetaminophen (prescription or nonprescription). If you are not sure whether a drug contains acetaminophen, ask a doctor or pharmacist.
- with any other product containing diphenhydramine, even one used on skin
- in children under 12 years of age
- if you have ever had an allergic reaction to this product or any of its ingredients
Ask a doctor before use if you have
- liver disease
- a breathing problem such as emphysema or chronic bronchitis
- trouble urinating due to an enlarged prostate gland
- glaucoma
Ask a doctor or pharmacist before use if you are
- taking the blood thinning drug warfarin
- taking sedatives or tranquilizers
When using this product
- drowsiness will occur
- avoid alcoholic drinks
- do not drive a motor vehicle or operate machinery
Stop use and ask a doctor if
- sleeplessness persists continuously for more than 2 weeks. Insomnia may be a symptom of serious underlying medical illness.
- pain gets worse or lasts more than 10 days
- fever gets worse or lasts more than 3 days
- redness or swelling is present
- new symptoms occur
These could be signs of a serious condition.
If pregnant or breast-feeding, ask a health professional before use.
Keep out of reach of children.
overdose">
Overdose warning
In case of overdose, get medical help or contact a Poison Control Center right away. (1-800-222-1222) Quick medical attention is critical for adults as well as for children even if you do not notice any signs or symptoms.
Directions
- do not take more than directed (see overdose">overdose warning)
| adults and children 12 years and over |
- take 2 caplets at bedtime
- do not take more than 2 caplets of this product in 24 hours
|
| children under 12 years |
do not use |
Other information
- store between 20-25°C (68-77°F)
- do not use if carton is opened, or neck wrap or foil inner seal imprinted "TYLENOL" is broken or missing
Inactive ingredients
carnauba wax, crospovidone, FD&C blue no. 1 aluminum lake, hypromellose, magnesium stearate, microcrystalline cellulose, polyethylene glycol, polysorbate 80, povidone, pregelatinized starch, sodium starch glycolate, stearic acid, titanium dioxide
Questions or comments?
call 1-877-895-3665 (toll-free) or<PHONE_NUMBER> (collect)
PRINCIPAL DISPLAY PANEL
NDC 50580-506-10
SLEEP BETTER. LIFT HERE
See New Warning
Extra Strength
TYLENOL®
PM
Acetaminophen, Diphenhydramine HCl
Pain Reliever, Nighttime Sleep Aid
Non-habit forming
100 Caplets


Lists are of two kinds: Ordered and Unordered lists
HTML
CSS
JavaScript
Python
Ruby on Rails
Unordered List
Web Design
Web Development
Web Automation
Forn End Web Development
Back End Web Development


research_package_ui library
The UI library of Research Package.
Normally you don't need to use these widgets directly. After creating the model objects from research_package_model and adding them to an RPTask you can present the different elements by passing it to an RPUITask.
This library contains various UI representations (Widgets) of the objects declared in research_package_model. Many of these Widgets are responsible for making the collected results accessible to others. Also contains general styles, UI statics used in Research Package UI in RPStyles.
Classes
- InstructionImage
- RPLocalizations
- RPStyles
- RPUIBooleanQuestionBody
- RPUIChoiceQuestionBody
- The UI representation of RPChoiceAnswerFormat. This UI part appears embedded in a RPUIQuestionStep. Depending on the RPChoiceAnswerFormat's ChoiceAnswerStyle property, the user can select only one or multiple options.
- RPUICompletionStep
- The UI representation of RPCompletionStep [...]
- RPUIConsentReviewStep
- The UI representation of RPConsentReviewStep [...]
- RPUIDateTimeQuestionBody
- RPUIFormStep
- RPUIImageChoiceQuestionBody
- RPUIInstructionStep
- The UI representation of RPInstructionStep [...]
- RPUIIntegerQuestionBody
- RPUIQuestionStep
- The UI representation of the RPQuestionStep. This widget is the container, the concrete content depends on the input step's RPAnswerFormat. [...]
- RPUISliderQuestionBody
- RPUITask
- This class is the primary entry point for the presentation of the Research Package framework UI. It presents the steps of an RPOrderedTask (either navigable or just linear) and then provides the RPTaskResult object.
- RPUIVisualConsentStep
- The UI representation of RPVisualConsentStep [...]
- Title


Rexchain Wallet
Contact
Import your keys
Attach your Keys from one file by dropping it here or
Select your Key file from computer
Private Keys
Public Keys
PIN
Enter a 4 digits pin code
Make sure you remember it, you’ll need it for all your transactions.
Verify Keys


* To comply with my non-disclosure agreement, I have omitted confidential information and artifacts relating to the design process. *
Account Management is a Windows 10 Store application that facilitates OEM partners to access multiple accounts and perform critical administrative tasks quickly and efficiently. In one of my rotations at Microsoft IT, I helped design and prototype part of this application, focusing primarily on ensuring an optimal user experience through intuitive actions and overcoming the design problems in the legacy on-premise interface.
These are some of the high-fidelity mockups and interactions that I created in a design iteration:


This will take you back to the home page
Print out the images below and knock yourself out
Or maybe you'd like one of these here


kBtu/ft²
See how this building measures up against other buildings of the same primary use:
<%= compareEui.change_pct %>
This building’s energy use per square foot (EUI) is <%= compareEui.change_pct %> <%= compareEui.change_label %> than the average <%= type %> in DC.
<% } else { %>We don't have an EUI for this building for this year.
<% } %>See how this building measures up against other buildings of the same primary use in the current year, please note this comparison is unrelated to this building's evaluation against the Building Energy Performance Standards:
<%= compareEss.change_pct %>
This building’s ENERGY STAR Score is <%= compareEss.change_pct %> points <%= compareEss.change_label %> than the average <%= type %> in DC.
<% } else { %>We don't have an ENERGY STAR score for this building for this year.
<% } %>See how this building measures up against other buildings of the same primary use in the current year, please note this comparison is unrelated to this building's evaluation against the Building Energy Performance Standards:
<%= compareEss.change_pct %>
This building’s ENERGY STAR Score is <%= compareEss.change_pct %> points <%= compareEss.change_label %> than the average <%= type %> in DC.
<% } else { %>We don't have an ENERGY STAR score for this building for this year.
<% } %>


This page is a demonstration of entering information and posting it to a RESTful server
When you press the "Save Information" button, Angular gathers together its model, converts it into JSON and sends a post request to the server to save this information. The server responds asynchronously with its reply, which is displayed below the button when it comes back
The server's response was:
{{ serverResponse }}


Corn and more Corn
When we left Bridgeport CT I always thought the most common crop
was wheat. After driving to Oregon and back we saw corn
fields in just about every state. Looking at
USA corn production web site it shows Ohio as the state producing
the most corn in the US. There were some wheat fields as
well but I think the hay/grass fields probably took second after
the corn.
The trip was over 6,500 miles and with the mighty 92 Jeep we had
no problems. The last morning gave us a down pour as we
were getting ready so while we feed the dogs and packed Dean and
Kris were drenched and had to change clothes prior to driving.
Each state had something unique about it like the state of
Wyoming was loaded with trains and Iowa was heavy with wind
mills.
We took a few extra days on the trip so are getting back on
Monday and now the real work begins. We need a trip to New
England Electronics for our replacement autopilot controller.
 We
ordered the components for the Manta sling seat from JSI
and that should be ready to install, at least attach it to the
arch and then make the seat for it later. We are carrying
some free vinyl mesh material from
Lee who had gotten it from us several years ago that will be
used for the seat. Go to the grocery stores and buy enough
stuff to last us awhile. Sell the mighty Jeep, Kris would
love to keep it but has agreed selling it makes sense. In
selling the jeep we also have to take the license plate to the
DMV, take the DMV receipt to our insurance company and then take
the DMV receipt to the town hall so we do not have to keep
paying taxes on it. Of course do all that after the jeep
is sold makes for long walks or having a friend drive you around
all day.
So after our 18 day "vacation", 10 of which were driving, and
after the last 6 days of final provisioning/projects the "What
If" adventures can begin. I think we might just anchor
close by and take two days to sleep and slow down :)
Our last day at the dock is July 31st so on
to the seas.
7/29/11
18 days and still speaking to each other


Tape is a collection of queue-related classes for Android and Java by Square, Inc.
QueueFile
is a lightning-fast, transactional, file-based FIFO. Addition and removal from an instance is an O(1) operation and is atomic. Writes are synchronous; data will be written to disk before an operation returns. The underlying file is structured to survive process and even system crashes and if an I/O exception is thrown during a mutating change, the change is aborted.
An ObjectQueue
represents an ordering of arbitrary objects which can be backed either by the filesystem (via QueueFile
) or in memory only.
TaskQueue
is a special object queue which holds Task
s, objects which have a notion of being executed. Instances are managed by an external executor which prepares and executes enqueued tasks.
Available via Maven or as a downloadable .jar
.
<dependency>
<groupId>com.squareup</groupId>
<artifactId>tape</artifactId>
<version>(insert latest)</version>
</dependency>
For a more complete example of a background image uploader which expands on both of the following examples see the sample Android application in the repository.
When used on Android, a service is the perfect companion to a TaskQueue
since it allows actions to be completed in the background. If the user is uploading new photos to their favorite sharing site, the service will iterate through the queue until all of the upload tasks completes successfully.
/** Listener for starting the upload service when the queue has tasks. */ public class ImageQueueServiceListener implements ObjectQueue.Listener<ImageUploadTask> { private final Context context; public ImageQueueServiceStarter(Context context) { this.context = context; } @Override public void onAdd(ObjectQueue<ImageUploadTask> queue, ImageUploadTask task) { context.startService(new Intent(context, ImageQueueService.class)); } @Override public void onRemove(ObjectQueue<ImageUploadTask> queue) {} } /** Service which iterates through pending upload tasks one-by-one. */ public class ImageQueueService extends Service implements ImageUploadTask.Callback { private TaskQueue<ImageUploadTask> queue; private boolean running; @Override public void onCreate() { super.onCreate(); // Obtain TaskQueue here (e.g., through injection) } @Override public int onStartCommand(Intent intent, int flags, int startId) { executeNext(); return START_STICKY; } public void executeNext() { if (running) return; // Only one task at a time. ImageUploadTask task = queue.peek(); if (task != null) { task.execute(this); running = true; return; } stopSelf(); // We're done for now. } @Override public void imageUploadComplete() { running = false; queue.remove(); executeNext(); } }
As an alternative to traditional object serialization, GSON makes it really easy to convert objects to and from a format that can be written to disk by the FileObjectQueue
. This allows for much more flexibility in modifying classes moving forward as well as providing a human-readable storage format.
/** Converter which uses GSON to serialize instances of class T to disk. */ public class GsonConverter<T> implements FileObjectQueue.Converter<T> { private final Gson gson; private final Class<T> type; public GsonConverter(Gson gson, Class<T> type) { this.gson = gson; this.type = type; } @Override public T from(byte[] bytes) { Reader reader = new InputStreamReader(new ByteArrayInputStream(bytes)); return gson.fromJson(reader, type); } @Override public void toStream(T object, OutputStream bytes) throws IOException { Writer writer = new OutputStreamWriter(bytes); gson.toJson(object, writer); writer.close(); } }
If you would like to contribute code to Tape you can do so through GitHub by forking the repository and sending a pull request.
When submitting code, please make every effort to follow existing conventions and style in order to keep the code as readable as possible. Please also make sure your code compiles by running mvn clean verify
. Checkstyle failures during compilation indicate errors in your style and can be viewed in the target/checkstyle-result.xml
file.
Before your code can be accepted into the project you must also sign the Individual Contributor License Agreement (CLA).
Copyright 2012 Square, Inc.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


Temperature variation by month
Observed in Vik i Sogn, Norway
Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec
Temperature ( °C )
[-9.7, 9.4],
[-8.7, 6.5],
[-3.5, 9.4],
[-1.4, 19.9],
[0.0, 22.6],
[2.9, 29.5],
[9.2, 30.7],
[7.3, 26.5],
[4.4, 18.0],
[-3.1, 11.4],
[-5.2, 10.4],
[-13.5, 9.8]


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ARTICLE 5A. INTERNATIONAL BANKING CORPORATIONS
Note
Article heading amended by L 1996, c 155, §3.
PART I. GENERAL PROVISION
§412:5A-100 Applicability of other provisions of this chapter. Unless otherwise expressly provided in this article, the entities covered by this article shall have none of the powers generally given to Hawaii financial institutions under this chapter. Neither shall such entities be required to file any reports or give any notices except as may be expressly provided in this article. [L 1993, c 350, pt of §1]


So, deploy time is coming. If the development with rails is funny, the deployment is like a pain - you have a day by day reading articles and googling. In this series of articles I’d like to show how to deploy simple rails application using Nginx, Puma server and Capistrano.
The problem standing in front of me is when you setting up the server following a lot of tutorials, you do it with a necessity to type(and store) a lot of passwords - and when you do it, it’s a little bit uncomfortable.
Bootstraping
Let’s setting up the server. My choice is DigitalOcean server but you can use any different provider. Therefore I want to deploy my application to the smallest 521MB RAM machine, my choice is 32-bit Ubuntu because it uses less memory than 64-bit version
During setup process I’ve added my public key from ~/.ssh/id_rsa.pub
via DigitalOcean GUI. Of cource you could implement the same via adding you public key to /root/.ssh/authorized_keys
After machine created you’ll be given your new machine ip. Let’s loging in to the new server
Setting up
ssh root@<your new ip>
After that we should create a new user that will in charge of deployment process
adduser deploy
The systems asks you the new user password and you have to type there really strong (don’t worry in the next steps we’ll pre vent us to type it on every sneeze via adding your public key to authorized_keys)
Open sudoers
vim /etc/sudoers
and add there
deploy ALL=(ALL) NOPASSWD: ALL
If you use Digital Ocean and machine with minimal configuration, don’t forget to use swap.
dd if=/dev/zero of=/swapfile bs=1M count=1k
mkswap /swapfile
swapon /swapfile
echo '/swapfile none swap sw 0 0 ' >> /etc/fstab
echo 10 | tee /proc/sys/vm/swappiness
echo vm.swappiness = 10 | tee -a /etc/sysctl.conf
chown root:root /swapfile
chmod 0600 /swapfile
After that
login deploy -f
On deploy user:
ssh-copy-id deploy@<your-machine-ip>
or
mkdir -p ~/.ssh
cd .ssh
touch authorized_keys
vim authorized_keys
and copy there public key from your machine and save. After that
chmod 600 authorized_key
Summary
We created the server, created deploy user and give them an ability to simple loging in via ssh.
In the next chapter we’ll set up the neccessary software to our new server.


Age: 19.
Work: Student.
Family: Has a mom, dad and 2 brothers.
Location: Mexico, Mexico
City.
Character: Very pro active.
Tags:
- Has never used a device like google Home or Alexa.
- She's an
extrovert.
Goals:
- Help people that want to be helped.
- Change the world.
Frustrations:
- Not being to comprehend something.
- Not being able to help
someone.
- Not achieving her goals.
Bio:
She's a 19 year old, that lives with her parents and two brothers. She's
lived in Mexico City for the most part of her life. She's a computers science engineer student. So
she's good with technology and computers. She uses Whats App, Instagram, and Facebook.
Age: 40.
Work: Office worker.
Family: Has a wife.
Location: Mexico, Mexico
City.
Character: He's very hard working.
Tags:
- He isn't an extrovert, but far from an introvert.
- Likes getting home
from a long day of work.
- Prefers things that are easy to learn.
Goals:
- Wants a raise.
- Wants to finally pay his house mortgage.

- Very hard to use interface bug him.
- Arriving home very late.
Bio:
He's a 40 year old man. He's currently working at an office. He's been
married for a couple of years. He is very hard working. He has Facebook, WhatsApps and enjoys
watching videos on his Netflix account on his spare time. He isn't very quick quick with technology,
but still manages to enjoy it and use efficently.
Age: 22.
Work: Student.
Family: Has a mother and father.
Location: Mexico, Mexico
City.
Character: She's very organized.
Tags:
- More of an introvert, but not there stylesheet.
- Gest nervous if
things seem overwhelming.
- Likes to have everything well organized.
Goals:
- Wants to graduate college.
- Have tome to study, and be with the
people she loves.
Frustrations:
- Not having as much time as she wished she had.
- Having to
wake up early in the morning.
- Not being able to get good WIFI when deliverind stuff.
Bio:
She lives with her parents, but is mode independent. She's usually busy with
school, though she has enough time left to be with her friends. She loves concerts an usually has
her phone near her. She is mostly tech savvy. if you give her a new technological gadget, she's most
likely to figure what it does quickly. She enjoys being with her friends and family.
Age: 11.
Work: Student.
Family: Has a mother, father and sister.
Location: Mexico, Mexico
City.
Character: He's very active.
Tags:
- Gest bored easily.
- Loves his phone ad game console.
Goals:
- Have more time to play with his friends, play videogames and watch
videos.
Frustrations:
- Being still for too long and doing things that bore him.
-
Having to wake up early in the morning.
Bio:
He's a very active boy with a lot energy. From time to time he has
absolutely no patience. He likes playing with his friends, in person or online. He enjoys sports and
watching videos online. He's currently a student in an elementary school. He's somewhat good with
technology. Usually when his mom or dad have problems with an app, they call him to help them just a
little. He usually picks up on the basic features of a new gadget rather quickly.
Age: 19.
Work: Student.
Family: Has a mom, dad and 2 brothers.
Location: Mexico, Mexico
City.
Character: Very pro active.
Tags:
- Has never used a device like google Home or Alexa.
- She's an
extrovert.
Goals:
- Help people that want to be helped.
- Change the world.
Frustrations:
- Not being to comprehend something.
- Not being able to help
someone.
- Not achieving her goals.
Bio:
She's a 19 year old, that lives with her parents and two brothers. She's
lived in Mexico City for the most part of her life. She's a computers science engineer student. So
she's good with technology and computers. She uses Whats App, Instagram, and Facebook.
Age: 40.
Work: Office worker.
Family: Has a wife.
Location: Mexico, Mexico
City.
Character: He's very hard working.
Tags:
- He isn't an extrovert, but far from an introvert.
- Likes getting home
from a long day of work.
- Prefers things that are easy to learn.
Goals:
- Wants a raise.
- Wants to finally pay his house mortgage.

- Very hard to use interface bug him.
- Arriving home very late.
Bio:
He's a 40 year old man. He's currently working at an office. He's been
married for a couple of years. He is very hard working. He has Facebook, WhatsApps and enjoys
watching videos on his Netflix account on his spare time. He isn't very quick quick with technology,
but still manages to enjoy it and use efficently.
Age: 22.
Work: Student.
Family: Has a mother and father.
Location: Mexico, Mexico
City.
Character: She's very organized.
Tags:
- More of an introvert, but not there stylesheet.
- Gest nervous if
things seem overwhelming.
- Likes to have everything well organized.
Goals:
- Wants to graduate college.
- Have tome to study, and be with the
people she loves.
Frustrations:
- Not having as much time as she wished she had.
- Having to
wake up early in the morning.
- Not being able to get good WIFI when deliverind stuff.
Bio:
She lives with her parents, but is mode independent. She's usually busy with
school, though she has enough time left to be with her friends. She loves concerts an usually has
her phone near her. She is mostly tech savvy. if you give her a new technological gadget, she's most
likely to figure what it does quickly. She enjoys being with her friends and family.
Age: 11.
Work: Student.
Family: Has a mother, father and sister.
Location: Mexico, Mexico
City.
Character: He's very active.
Tags:
- Gest bored easily.
- Loves his phone ad game console.
Goals:
- Have more time to play with his friends, play videogames and watch
videos.
Frustrations:
- Being still for too long and doing things that bore him.
-
Having to wake up early in the morning.
Bio:
He's a very active boy with a lot energy. From time to time he has
absolutely no patience. He likes playing with his friends, in person or online. He enjoys sports and
watching videos online. He's currently a student in an elementary school. He's somewhat good with
technology. Usually when his mom or dad have problems with an app, they call him to help them just a
little. He usually picks up on the basic features of a new gadget rather quickly.


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WAQAS SOUNDBOARD
Harp
Bass-Drum
buggle-first-call
chinese-gong
congas
drumroll
female-opera
military-drum
tap-dancing


{% extends 'assessment-rooted.html' %} {% block content %}
{{assessment.bmd_settings.get_version_display}} is no longer supported by HAWC. Change the assessment benchmark dose settings to the newest BMDS version to create new sessions.
| Session | BMDS version | Dose units | Created | Last updated |
|---|---|---|---|---|
| {{o}} | {{o.version}} | {{o.dose_units}} | {{o.created}} | {{o.last_updated}} |
No BMD modeling sessions available. |