Wisej is a highly specialized framework for Real Time Web Applications. Developers can focus on their projects and don’t worry about HTML, state management, backend services, callbacks, ajax panels, synchronization, DOM, CSS, JavaScript, security, authentication, concurrency …
See our case studies at


{% extends "base.html" %} {% block title %}
Medieval catalogues > SECULAR INSTITUTIONS: Hospitals, Towns, and the Professions > Southwold, townsmen > Bequest by Robert Scolys, 6 June 1470
{% endif %}4 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


The Binance brokerage models use the CashBuyingPowerModel
for cash accounts and the SecurityMarginModel
for margin accounts.
The following table shows the maximum leverage each brokerage model allows for margin accounts:
| Brokerage Model | Maximum Leverage |
|---|---|
BinanceBrokerageModel |
3 |
BinanceFuturesBrokerageModel |
25 |
BinanceCoinFuturesBrokerageModel |
25 |
The BinanceUSBrokerageModel
doesn't currently support margin trading.


Growing Object-Oriented Software Guided by Tests
Lets build an music player
describe "POST #queue" do
it "should add the track to the queue and alert clients of change" do
id = 1337
track = instance_double("Track", :id => id)
expect(Track).to receive(:find).with(id).and_return(track)
expect(Queue).to receive(:add_track).with(track).and_return 1
expect(Broadcast).to receive(:broadcast)
post '/queue', :id => id
end
end
class App < Sinatra::Base
post "/queue" do
@track = Track.find(params[:id])
Queue.add_track(@track)
Broadcast.send('/songs', @track)
end
end
describe "POST #queue" do
it "should add the track to the queue and alert clients of change" do
id = 1337
track = instance_double("Track", :id => id)
expect(Track).to receive(:find).with(id).and_return(track)
expect(Queue).to receive(:add_track).with(track).and_return 1
expect(Broadcast).to receive(:broadcast)
post '/queue', :id => id
end
end
class App < Sinatra::Base
post "/queue" do
@track = Track.find(params[:id])
Queue.add_track(@track)
Broadcast.send('/songs', @track)
end
end
A way of saying what this thing should do
Generate fake data for testing
Help narrow down failing cases


History of Porsche
Porsche was founded by Ferdinand Porsche in 1931. He was an Austrian German automotive-engineer. Unfortunately he had an untimely death in the 1950's due to a stroke.
The original and headquarters to this day is in Stuttgart, Baden-Württemberg - in Germany. The family would go to innovate the auto industry. The Porsche 911 was voted in 5th place for car of the century.
Porsche's major mile stones include:
- Designing the Beetle in 1938
- Launching the famous 911 in 1964
- Collaboration with Toyota to learn Japanese production methods in 1990
- Merged with Volkswagen A.G. in 2011
- Launched the world's fastest electric charging station in 2017
Throughout history, it should be noted that Porsche had pushed motorsports and performance


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Your change is not applied until push "Upload Templates" button.
{{`{{wt. Value}}`}}


The forward_scattering module¶
Warning
This is about the point I ran out of gas vectorizing things and writing good documentation. I need some more feedback before continuing too much further.
With our vertical profile defined, let’s define the forward scattering
properties of our dust. We can do that with the obtusely named
NearestNeighborSingleScatteringAlbedo
(I’m open
to better names!). This class essentially just takes in the scattering and
extinction coefficients, along with the grid they’re defined on, and regrids
them onto a user-defined particle size and wavelength grid by finding the
nearest neighbor values. pyRT_DISORT only really cares about the single
scattering albedo, so that’s why the class is named as such…
I included the dust scattering properties in some tests, so let’s just grab the empirical values.
from astropy.io import fits
prop = '~/pyRT_DISORT/tests/aux/dust_properties.fits'
hdul = fits.open(f)
cext = hdul['primary'].data[:, :, 0]
csca = hdul['primary'].data[:, :, 1]
wavs = hdul['wavelengths'].data
psizes = hdul['particle_sizes'].data
Let’s say we have some knowledge of the particle sizes to use in our model. We can make them here too
gradient = np.linspace(1, 1.5, num=15)
w = short_wavelength[:, 0, 0] # Recall wavelength is 3D
We can now add these to the our very lengthy class name.
nnssa = NearestNeighborSingleScatteringAlbedo(csca, cext, psizes, wavs, w, gradient)
If you just want to play with things, I included the scattering and extinction cross sections on this new grids as properties, along with the single scattering albedo. I also have a method (gasp!) to make the extinction coefficient at a reference wavelength. It will make an array of shape (n_sizes, n_wavelengths) of the extinction coefficient at the reference wavelength assuming the input particle sizes remain unchanged. This will be needed for use in our next module.
Note
I plan to add some more classes, like to linearly interpolate between values and not force you to use nearest neighbor, at some point. But hopefully this is serviceable for now.


{% comment %} This template is meant to be part of a larger template; use it in the larger template with the "include" template tag. {% endcomment %}


| MPI_FILE_SET_VIEW(fh, disp, etype, filetype, datarep, info) | |
| INOUT fh | file handle (handle) |
| IN disp | displacement (integer) |
| IN etype | elementary datatype (handle) |
| IN filetype | filetype (handle) |
| IN datarep | data representation (string) |
| IN info | info object (handle) |
int MPI_File_set_view(MPI_File fh, MPI_Offset disp, MPI_Datatype etype, MPI_Datatype filetype, char *datarep, MPI_Info info)
MPI_FILE_SET_VIEW(FH, DISP, ETYPE, FILETYPE, DATAREP, INFO, IERROR)
INTEGER FH, ETYPE, FILETYPE, INFO, IERROR
CHARACTER*(*) DATAREP
INTEGER(KIND=MPI_OFFSET_KIND) DISP
void MPI::File::Set_view(MPI::Offset disp, const MPI::Datatype& etype, const MPI::Datatype& filetype, const char* datarep, const MPI::Info& info)
The MPI_FILE_SET_VIEW routine changes the process's view of the data in the file. The start of the view is set to disp; the type of data is set to etype; the distribution of data to processes is set to filetype; and the representation of data in the file is set to datarep. In addition, MPI_FILE_SET_VIEW resets the individual file pointers and the shared file pointer to zero. MPI_FILE_SET_VIEW is collective; the values for datarep and the extents of etype in the file data representation must be identical on all processes in the group; values for disp, filetype, and info may vary. The datatypes passed in etype and filetype must be committed.
The etype always specifies the data layout in the file. If etype is a portable datatype (see Section Semantic Terms ), the extent of etype is computed by scaling any displacements in the datatype to match the file data representation. If etype is not a portable datatype, no scaling is done when computing the extent of etype. The user must be careful when using nonportable etypes in heterogeneous environments; see Section Datatypes for File Interoperability for further details.
If MPI_MODE_SEQUENTIAL mode was specified when the file was opened, the special displacement MPI_DISPLACEMENT_CURRENT must be passed in disp. This sets the displacement to the current position of the shared file pointer.
Rationale.
For some sequential files,
such as those corresponding to magnetic tapes or streaming network connections,
the displacement may not be meaningful.
MPI_DISPLACEMENT_CURRENT allows the view to be changed
for these types of files.
( End of rationale.)
Advice
to implementors.
It is expected that a call to MPI_FILE_SET_VIEW
will immediately follow
MPI_FILE_OPEN in numerous instances.
A high quality implementation will ensure that this behavior is efficient.
( End of advice to implementors.)
The disp displacement argument specifies the position
(absolute offset in bytes from the beginning of the file)
where the view begins.
Advice to users.
disp can be used to skip headers or when the file includes a sequence of data segments that are to be accessed in different patterns (see Figure 15 ). Separate views, each using a different displacement and filetype, can be used to access each segment.
[ ]Displacements
( End of advice to users.)
An etype ( elementary datatype)
is the unit of data access and positioning.
It can be any MPI predefined or derived datatype.
Derived etypes can be constructed
by using any of the MPI datatype constructor routines,
provided all resulting typemap displacements are
nonnegative and monotonically nondecreasing.
Data access is performed in etype units,
reading or writing whole data items of type etype.
Offsets are expressed as a count of etypes;
file pointers point to the beginning of etypes.
Advice to users.
In order to ensure interoperability in a heterogeneous environment,
additional restrictions must be observed when constructing the etype
(see Section File Interoperability
).
( End of advice to users.)
A filetype is either a single etype or a derived MPI datatype
constructed from multiple instances of the same etype.
In addition,
the extent of any hole in the filetype
must be a multiple of the etype's extent.
These displacements are not required to be distinct,
but they cannot be negative,
and they must be monotonically nondecreasing.
If the file is opened for writing, neither the etype nor the filetype is permitted to contain overlapping regions. This restriction is equivalent to the ``datatype used in a receive cannot specify overlapping regions'' restriction for communication. Note that filetypes from different processes may still overlap each other.
If filetype has holes in it, then the data in the holes is inaccessible to the calling process. However, the disp, etype and filetype arguments can be changed via future calls to MPI_FILE_SET_VIEW to access a different part of the file.
It is erroneous to use absolute addresses in the construction of the etype and filetype.
The info argument is used to provide information regarding file access patterns and file system specifics to direct optimization (see Section File Info ). The constant MPI_INFO_NULL refers to the null info and can be used when no info needs to be specified.
The datarep argument is a string that specifies the representation of data in the file. See the file interoperability section (Section File Interoperability ) for details and a discussion of valid values.
The user is responsible for ensuring that all nonblocking requests and split collective operations on fh have been completed before calling MPI_FILE_SET_VIEW---otherwise, the call to MPI_FILE_SET_VIEW is erroneous.
| MPI_FILE_GET_VIEW(fh, disp, etype, filetype, datarep) | |
| IN fh | file handle (handle) |
| OUT disp | displacement (integer) |
| OUT etype | elementary datatype (handle) |
| OUT filetype | filetype (handle) |
| OUT datarep | data representation (string) |
int MPI_File_get_view(MPI_File fh, MPI_Offset *disp, MPI_Datatype *etype, MPI_Datatype *filetype, char *datarep)
MPI_FILE_GET_VIEW(FH, DISP, ETYPE, FILETYPE, DATAREP, IERROR)
INTEGER FH, ETYPE, FILETYPE, IERROR
CHARACTER*(*) DATAREP, INTEGER(KIND=MPI_OFFSET_KIND) DISP
void MPI::File::Get_view(MPI::Offset& disp, MPI::Datatype& etype, MPI::Datatype& filetype, char* datarep) const
MPI_FILE_GET_VIEW returns the process's view of the data in the file. The current value of the displacement is returned in disp. The etype and filetype are new datatypes with typemaps equal to the typemaps of the current etype and filetype, respectively.
The data representation is returned in datarep. The user is responsible for ensuring that datarep is large enough to hold the returned data representation string. The length of a data representation string is limited to the value of MPI_MAX_DATAREP_STRING.
In addition, if a portable datatype was used to set the current view, then the corresponding datatype returned by MPI_FILE_GET_VIEW is also a portable datatype. If etype or filetype are derived datatypes, the user is responsible for freeing them. The etype and filetype returned are both in a committed state.


Gordhan Considering Legal Steps Against Bongo’s ‘Defamatory Claims’
by SG EditorPublic Enterprises Minister Pravin Gordhan is considering steps against African National Congress (ANC) MP Bongani Bongo who’s accused of corruption.
On Thursday, Bongo claimed Gordhan had a hand in his arrest during in an interview with eNCA.
The former state security minister was released on R5,000 bail on Thursday in connection with an attempt to bribe a senior official of Parliament’s inquiry into state capture at Eskom.
In an interview with eNCA, Bongo also intimated Gordhan played a part in him being poisoned, which saw him seek treatment in Cuba.
But Gordhan’s spokesperson Sam Mkokeli has dismissed Bongo’s allegations: “The minister finds the whole thing ridiculous and foolish. The minister feels that Mr Bongo is hallucinating.”
Mkokeli said the minister would consider his legal options but wanted to focus on more burning issues affecting the country.
“He will consider his options around this defamatory statement but at this stage, he is very busy working on sorting out investors to South Africa.”


Category:
Total Scores:
Overall
Fuselage
Lift
Pitch
Landing
Cockpit
Power
Finish
Innovation
Judge
Date
overall
overall
overall
overall
overall
overall
overall
overall
overall
overall
date
overall
overall
overall
overall
overall
overall
overall
overall
overall


Full HTML Page Support
Full HTML pages can be included into kwiki, but only the contents of the <body> tag will be included.
Any enabled kwiki functionality like the left nav bar will still be processed.
This allows any html editors that require full, valid html pages to be used for creating and maintaining documentation.


{{ this.index + 1 }} / {{ sortedDeck().length }}
{{ currentCardText() }}
⇦
⇨
Card Raffle
Shuffle cards for playing Werewolf, Mafia or anything else
+
Card text
Amount
x
Seed
Shuffle


Vegan man sues Burger King for cooking Impossible Whopper and meat on same grill
A vegan man has sued Burger King for cooking Impossible Whopper and meat on the same grill.
Burger King was sued on Monday by a vegan customer who accused the fast-food chain of contaminating its meatless "Impossible" Whoppers by cooking them on the same grills as its traditional meat burgers.
In a proposed class action, Phillip Williams said he bought an Impossible Whopper, a plant-based alternative to Burger King's regular Whopper, at an Atlanta drive-through, and would not have paid a premium price had he known the cooking would leave it "coated in meat by-products."
The lawsuit filed in Miami federal court seeks damages for all U.S. purchasers of the Impossible Whopper, and an injunction requiring Burger King to "plainly disclose" that Impossible Whoppers and regular burgers are cooked on the same grills.
Burger King, a unit of Toronto-based Restaurant Brands International Inc, declined to comment, saying it does not discuss pending litigation.
Its website describes the Impossible Burger as "100% Whopper, 0% Beef," and adds that "for guests looking for a meat-free option, a non-broiler method of preparation is available upon request."
Williams' lawyer did not immediately respond to a request for comment on the disclaimer or the available cooking options.
Impossible Foods Inc, which helped create the Impossible Whopper, has said it designed the product for meat eaters who want to consume less animal protein, not for vegans or vegetarians.
"For people who are strictly vegan, there is a microwave prep procedure that they're welcome to ask for in any store," Dana Worth, Impossible Foods' head of sales, said in a recent interview.
Burger King began selling the Impossible Whopper in August.


This program helps distinguish different DNA molecules by generating unique DNA barcodes using Python. The user retrieves this data through a text file by inputting the number of sequences and the length of the sequences needed. The barcodes are generated with the following criteria: GC-content ranging from 40% to 60%, no more than 2 consecutive identical nucleotides, exclusion of restriction sites for enzymes AgeI, AscI, BamHI, SbfI, and hamming distance of at least 3. The hamming distance refers to the number of positions, between 2 barcodes, where the nucleotides are different.
Source Code
Copyright © 2020 Joy Son


The Election Commission of India is responsible for the superintendence, direction and control of the entire process for conduct of elections to Parliament and Legislature of every State and to the offices of President and Vice-President of India. It came into existence on 25th January 1950. The commission's prime responsibility is to conduct free and fair elections and to provide such an atmosphere in which every eligible voter can cast his or her vote.
Recently, Multimedia campaigns were launched with the help of National Service Scheme and Nehru Yuva Kendra volunteers. The Field Publicity Directorate of Information and Broadcasting Ministry also launched intensive campaign targeting women and youth voters to come forward to exercise their voting right. This year, the Election Commission had given special emphasis on inclusion of women and young voters. This proved very fruitful as number of these two sections of voters has increased considerably.


Explore the available components below:
-
Core Styles
Buttons, Loader Buttons, Cards, Colors, Typography
-
Date Pickers
Date Picker, Date Range Picker
-
Icons
Standard and Special font icons
-
Inputs
Inputs, Counter, Dropdowns, Checkbox, Radio, Toggles
-
Layouts
Accordion (Single Opened), Accordion (Multiple Opened)
-
Messaging
Alerts, Banners, Badges, Labels, Modal, Notifications
-
Navigation
Breadcrumbs, Primary Header, Utility Header, Steppers, Pagination
-
Navigation Wrapper
Header and Sidenav Together
-
Progress Indicators
Circular and Linear
-
Tables
Standard and Dynamic Tables
-
Tabs
Standard, Bordered, Vertical


mongoc_client_command_simple()
Synopsis
bool mongoc_client_command_simple (mongoc_client_t *client, const char *db_name, const bson_t *command, const mongoc_read_prefs_t *read_prefs, bson_t *reply, bson_error_t *error);
This is a simplified interface to mongoc_client_command(). It returns the first document from the result cursor into reply.
reply is always set, and should be released with bson_destroy().
Parameters
client |
|
db_name |
The name of the database to run the command on. |
command |
A bson_t containing the command specification. |
read_prefs |
|
reply |
A location for the resulting document. |
error |
An optional location for a bson_error_t or NULL. |
Errors
Errors are propagated via the error parameter.
Returns
true if successful; otherwise false and error is set.


WITNESS LIST Child Welfare & Foster Care, Select Committee August 5, 2004-10:00A Best Practices in Child Welfare For: Klarberg, Richard (Council on Accreditation) McClure, Madeline (Tex Protects, The Texas Association for the Protection of Children) Against: Crosby, Lynn (Self) On: Basile, Michael (Self and Congregation Networks) Bledsoe, Collius (Self) Bledsoe, Tammy (Self) Blevins, Ted (Texas Alliance of Children and Families) Charette, Jen (Self) Clark, Carole (Self) Counihan, Will (Comptroller of Public Accounts) Craven, Susan (Texans Care For Children) Eells, Karen (Dept. of Family and Protective Services) Foster, Mike (Caring Family Network, FFTA, Texas Association of Child Placing Agencies) Hansen, Vicki (Self and National Association of Social Workers/Texas Chapter) Hartman, Robert "Bob" (DePelchin Children's Home) Holman, Nancy (Texas Alliance of Child and Family Services) James, Joyce (Dept. of Family and Protective Services) McCullough, Charlotte (Self) Reed, David (Customer Centered Consulting Group, Inc.) Robb, Aaron (Self) Sachs, Pennie (Self) Spiser, Diana (Dept. of Family and Protective Services) Registering, but not testifying: On: Horton, Colleen (Self and Texas Center for Disability Studies, University of Texas)


Zend\Validator\Barcode allows you to check if a given value can be represented as barcode.
Zend\Validator\Barcode supports multiple barcode standards and can be extended with proprietary barcode implementations very easily. The following barcode standards are supported:
CODABAR: Also known as Code-a-bar.
This barcode has no length limitation. It supports only digits, and 6 special chars. Codabar is a self-checking barcode. This standard is very old. Common use cases are within airbills or photo labs where multi-part forms are used with dot-matrix printers.
CODE128: CODE128 is a high density barcode.
This barcode has no length limitation. It supports the first 128 ascii characters. When used with printing characters it has an checksum which is calculated modulo 103. This standard is used worldwide as it supports upper and lowercase characters.
CODE25: Often called “two of five” or “Code25 Industrial”.
This barcode has no length limitation. It supports only digits, and the last digit can be an optional checksum which is calculated with modulo 10. This standard is very old and nowadays not often used. Common use cases are within the industry.
CODE25INTERLEAVED: Often called “Code 2 of 5 Interleaved”.
This standard is a variant of CODE25. It has no length limitation, but it must contain an even amount of characters. It supports only digits, and the last digit can be an optional checksum which is calculated with modulo 10. It is used worldwide and common on the market.
CODE39: CODE39 is one of the oldest available codes.
This barcode has a variable length. It supports digits, upper cased alphabetical characters and 7 special characters like whitespace, point and dollar sign. It can have an optional checksum which is calculated with modulo 43. This standard is used worldwide and common within the industry.
CODE39EXT: CODE39EXT is an extension of CODE39.
This barcode has the same properties as CODE39. Additionally it allows the usage of all 128 ASCII characters. This standard is used worldwide and common within the industry.
CODE93: CODE93 is the successor of CODE39.
This barcode has a variable length. It supports digits, alphabetical characters and 7 special characters. It has an optional checksum which is calculated with modulo 47 and contains 2 characters. This standard produces a denser code than CODE39 and is more secure.
CODE93EXT: CODE93EXT is an extension of CODE93.
This barcode has the same properties as CODE93. Additionally it allows the usage of all 128 ASCII characters. This standard is used worldwide and common within the industry.
EAN2: EAN is the shortcut for “European Article Number”.
These barcode must have 2 characters. It supports only digits and does not have a checksum. This standard is mainly used as addition to EAN13 (ISBN) when printed on books.
EAN5: EAN is the shortcut for “European Article Number”.
These barcode must have 5 characters. It supports only digits and does not have a checksum. This standard is mainly used as addition to EAN13 (ISBN) when printed on books.
EAN8: EAN is the shortcut for “European Article Number”.
These barcode can have 7 or 8 characters. It supports only digits. When it has a length of 8 characters it includes a checksum. This standard is used worldwide but has a very limited range. It can be found on small articles where a longer barcode could not be printed.
EAN12: EAN is the shortcut for “European Article Number”.
This barcode must have a length of 12 characters. It supports only digits, and the last digit is always a checksum which is calculated with modulo 10. This standard is used within the USA and common on the market. It has been superseded by EAN13.
EAN13: EAN is the shortcut for “European Article Number”.
This barcode must have a length of 13 characters. It supports only digits, and the last digit is always a checksum which is calculated with modulo 10. This standard is used worldwide and common on the market.
EAN14: EAN is the shortcut for “European Article Number”.
This barcode must have a length of 14 characters. It supports only digits, and the last digit is always a checksum which is calculated with modulo 10. This standard is used worldwide and common on the market. It is the successor for EAN13.
EAN18: EAN is the shortcut for “European Article Number”.
This barcode must have a length of 18 characters. It support only digits. The last digit is always a checksum digit which is calculated with modulo 10. This code is often used for the identification of shipping containers.
GTIN12: GTIN is the shortcut for “Global Trade Item Number”.
This barcode uses the same standard as EAN12 and is its successor. It’s commonly used within the USA.
GTIN13: GTIN is the shortcut for “Global Trade Item Number”.
This barcode uses the same standard as EAN13 and is its successor. It is used worldwide by industry.
GTIN14: GTIN is the shortcut for “Global Trade Item Number”.
This barcode uses the same standard as EAN14 and is its successor. It is used worldwide and common on the market.
IDENTCODE: Identcode is used by Deutsche Post and DHL. It’s an specialized implementation of Code25.
This barcode must have a length of 12 characters. It supports only digits, and the last digit is always a checksum which is calculated with modulo 10. This standard is mainly used by the companies DP and DHL.
INTELLIGENTMAIL: Intelligent Mail is a postal barcode.
This barcode can have a length of 20, 25, 29 or 31 characters. It supports only digits, and contains no checksum. This standard is the successor of PLANET and POSTNET. It is mainly used by the United States Postal Services.
ISSN: ISSN is the abbreviation for International Standard Serial Number.
This barcode can have a length of 8 or 13 characters. It supports only digits, and the last digit must be a checksum digit which is calculated with modulo 11. It is used worldwide for printed publications.
ITF14: ITF14 is the GS1 implementation of an Interleaved Two of Five bar code.
This barcode is a special variant of Interleaved 2 of 5. It must have a length of 14 characters and is based on GTIN14. It supports only digits, and the last digit must be a checksum digit which is calculated with modulo 10. It is used worldwide and common within the market.
LEITCODE: Leitcode is used by Deutsche Post and DHL. It’s an specialized implementation of Code25.
This barcode must have a length of 14 characters. It supports only digits, and the last digit is always a checksum which is calculated with modulo 10. This standard is mainly used by the companies DP and DHL.
PLANET: Planet is the abbreviation for Postal Alpha Numeric Encoding Technique.
This barcode can have a length of 12 or 14 characters. It supports only digits, and the last digit is always a checksum. This standard is mainly used by the United States Postal Services.
POSTNET: Postnet is used by the US Postal Service.
This barcode can have a length of 6, 7, 10 or 12 characters. It supports only digits, and the last digit is always a checksum. This standard is mainly used by the United States Postal Services.
ROYALMAIL: Royalmail is used by Royal Mail.
This barcode has no defined length. It supports digits, uppercase letters, and the last digit is always a checksum. This standard is mainly used by Royal Mail for their Cleanmail Service. It is also called RM4SCC.
SSCC: SSCC is the shortcut for “Serial Shipping Container Code”.
This barcode is a variant of EAN barcode. It must have a length of 18 characters and supports only digits. The last digit must be a checksum digit which is calculated with modulo 10. It is commonly used by the transport industry.
UPCA: UPC is the shortcut for “Universal Product Code”.
This barcode preceded EAN13. It must have a length of 12 characters and supports only digits. The last digit must be a checksum digit which is calculated with modulo 10. It is commonly used within the USA.
UPCE: UPCE is the short variant from UPCA.
This barcode is a smaller variant of UPCA. It can have a length of 6, 7 or 8 characters and supports only digits. When the barcode is 8 chars long it includes a checksum which is calculated with modulo 10. It is commonly used with small products where a UPCA barcode would not fit.
The following options are supported for Zend\Validator\Barcode:
To validate if a given string is a barcode you just need to know its type. See the following example for an EAN13 barcode:
1 2 3 4 5 6 | $valid = new Zend\Validator\Barcode('EAN13');
if ($valid->isValid($input)) {
// input appears to be valid
} else {
// input is invalid
}
|
Some barcodes can be provided with an optional checksum. These barcodes would be valid even without checksum. Still, when you provide a checksum, then you should also validate it. By default, these barcode types perform no checksum validation. By using the checksum option you can define if the checksum will be validated or ignored.
1 2 3 4 5 6 7 8 9 | $valid = new Zend\Validator\Barcode(array(
'adapter' => 'EAN13',
'checksum' => false,
));
if ($valid->isValid($input)) {
// input appears to be valid
} else {
// input is invalid
}
|
Note
Reduced security by disabling checksum validation
By switching off checksum validation you will also reduce the security of the used barcodes. Additionally you should note that you can also turn off the checksum validation for those barcode types which must contain a checksum value. Barcodes which would not be valid could then be returned as valid even if they are not.
You may write custom barcode validators for usage with Zend\Validator\Barcode; this is often necessary when dealing with proprietary barcode types. To write your own barcode validator, you need the following information.
Your custom barcode validator must extend Zend\Validator\Barcode\AbstractAdapter or implement Zend\Validator\Barcode\AdapterInterface.
As an example, let’s create a validator that expects an even number of characters that include all digits and the letters ‘ABCDE’, and which requires a checksum.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | class My\Barcode\MyBar extends Zend\Validator\Barcode\AbstractAdapter
{
protected $length = 'even';
protected $characters = '0123456789ABCDE';
protected $checksum = 'mod66';
protected function mod66($barcode)
{
// do some validations and return a boolean
}
}
$valid = new Zend\Validator\Barcode('My\Barcode\MyBar');
if ($valid->isValid($input)) {
// input appears to be valid
} else {
// input is invalid
}
|
The source code of this file is hosted on GitHub. Everyone can update and fix errors in this document with few clicks - no downloads needed.


[gecode-users] Unary: Allow for negative durations when task is not mandatory
Andrea Peano
andrea.peano at unife.it
Wed Nov 20 19:51:46 CET 2013
Hello,
your code was very useful.
I've just seen that new implementations of standard nooverlap don't check
anymore for multiple occurrences of the same variable within the same array
(e.g., x0.same(home)). Am I right? Instead, your propagator still checks it.
I think this limitation might be too restrictive... But I cannot say
whether it is actually required or not.
What do you think about that?
Thank you,
Andrea
On Fri, Nov 1, 2013 at 3:14 PM, Andrea Peano <andrea.peano at unife.it> wrote:
> Hi Roberto,
> thank you very much. I'm pretty sure that it's close enough to my needs!
>
> I'll try it asap :)
>
> Thanks,
> Andrea
>
>
> On Fri, Nov 1, 2013 at 9:45 AM, Roberto Castaneda Lozano <rcas at kth.se>wrote:
>
>> Hi Andrea,
>>
>> Interestingly enough I implemented for my own purposes a similar
>> generalization to nooverlap a year ago, see the attachment.
>>
>> Best regards,
>>
>> Roberto
>>
>> From: users-bounces at gecode.org [users-bounces at gecode.org] on behalf of
>> Andrea Peano [andrea.peano at unife.it]
>> Sent: Thursday, October 31, 2013 12:50
>> To: Christian Schulte
>> Cc: users at gecode.org
>> Subject: Re: [gecode-users] Unary: Allow for negative durations when task
>> is not mandatory
>>
>> Yes, sure it's useful, thank you.
>> I'm just wondering whether a modification of the unary might be more
>> efficient or not.
>> In such a case, I could modify the source files of Gecode, by adding
>> another (modified) unary constraint, otherwise... should I write an
>> user-defined propagator?
>>
>> I've the same doubt regarding the nooverlap, I'd like to achieve a
>> generalization of it.
>> In this generalization rectangles of the same "group" can overlap
>> eachother, but they cannot overlap other rectangles of other groups.
>> So the new nooverlap will take in input an IntArgs array which contains
>> the group IDs.
>>
>> In your guide I read:
>> "The constraints [nooverlap] are implemented by a naive propagator
>> (considering pairwise no-
>> overlap between rectangles including constructive disjunction, see also
>> GCCAT: diffn),
>> this will change in the future. "
>>
>> I could add a condition within the implementation of the nooverlap, that
>> checks if the two rectangles belong to two different groups. Is it right?
>>
>> Do you have any suggestion?
>>
>> Thank you,
>> Andrea
>>
>> On Wed, Oct 30, 2013 at 1:05 PM, Christian Schulte
>> <cschulte at kth.se> wrote:
>>
>> Hi,
>>
>> There is a generic trick for situations like this: you introduce new
>> variables tend', tstart' and tdur' and only enforce that they are equal to
>> tend, tstart,
>> tdur respectively when the Boolean variable is 1. That means if the
>> Boolean variable is 0, the new variables can have whatever value.
>>
>> Hope that helps
>> Christian
>>
>> --
>> Christian Schulte, Professor of Computer Science, KTH,
>>
>> www.ict.kth.se/~cschulte/
>>
>>
>> From:
>>
>> users-bounces at gecode.org [mailto:users-bounces at gecode.org]
>> On Behalf Of Andrea Peano
>>
>> Sent: Tuesday, October 29, 2013 10:21 AM
>>
>> To:
>> users at gecode.org
>>
>> Subject: [gecode-users] Unary: Allow for negative durations when task is
>> not mandatory
>>
>>
>> Hello all,
>>
>> I would modify the unary constraint in order to allow negative durations
>> (tend<tstart) when the boolvar m (mandatory) is 0.
>>
>> Is there an easy way to do this?
>>
>> Thank you,
>>
>> Andrea
>>
>> --
>>
>>
>>
>>
>> Andrea Peano - PhD student
>>
>>
>> Department of Engineering - University of Ferrara
>> Tel: +39 0532 97 4827
>>
>>
>>
>>
>>
>
>
> --
>
> Andrea Peano - PhD student
> Department of Engineering - University of Ferrara
> Tel: +39 0532 97 4827
>
--
Andrea Peano - PhD student
Department of Engineering - University of Ferrara
Tel: +39 0532 97 4827
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PyshGP Core Instruction Set¶
int_mod¶
Takes: [int, int] - Produces: [int]
Computes the modulous of the top two ints and pushes the result.
int_lt¶
Takes: [int, int] - Produces: [bool]
Pushes true if the top int is less than the second. Pushes false otherwise.
int_lte¶
Takes: [int, int] - Produces: [bool]
Pushes true if the top int is less than, or equal to, the second. Pushes false otherwise.
int_gt¶
Takes: [int, int] - Produces: [bool]
Pushes true if the top int is greater than the second.. Pushes false otherwise.
int_gte¶
Takes: [int, int] - Produces: [bool]
Pushes true if the top int is greater than, or equal to, the second. Pushes false otherwise.
float_sub¶
Takes: [float, float] - Produces: [float]
Subtracts the top two floats and pushes the result.
float_mult¶
Takes: [float, float] - Produces: [float]
Multiplies the top two floats and pushes the result.
float_div¶
Takes: [float, float] - Produces: [float]
Divides the top two floats and pushes the result.
float_mod¶
Takes: [float, float] - Produces: [float]
Computes the modulous of the top two floats and pushes the result.
float_lt¶
Takes: [float, float] - Produces: [bool]
Pushes true if the top float is less than the second. Pushes false otherwise.
float_lte¶
Takes: [float, float] - Produces: [bool]
Pushes true if the top float is less than, or equal to, the second. Pushes false otherwise.
float_gt¶
Takes: [float, float] - Produces: [bool]
Pushes true if the top float is greater than the second.. Pushes false otherwise.
float_gte¶
Takes: [float, float] - Produces: [bool]
Pushes true if the top float is greater than, or equal to, the second. Pushes false otherwise.
int_from_bool¶
Takes: [bool] - Produces: [int]
Pushes 1 in the top boolean is true. Pushes 0 if the top boolean is false.
float_from_bool¶
Takes: [bool] - Produces: [float]
Pushes 1.0 in the top boolean is true. Pushes 0.0 if the top boolean is false.
int_from_float¶
Takes: [float] - Produces: [int]
Casts the top float to an integer and pushes the result.
float_from_int¶
Takes: [int] - Produces: [float]
Casts the top integer to a float and pushes the result.
str_concat¶
Takes: [str, str] - Produces: [str]
Concatenates the top two strs and pushes the resulting string.
str_insert_str¶
Takes: [str, str, int] - Produces: [str]
- Inserts str into the top str at index n and pushes
the resulting string. The value for n is taken from the int stack.
str_from_first_char¶
Takes: [str] - Produces: [str]
Pushes a str of the first character of the top string.
str_from_last_char¶
Takes: [str] - Produces: [str]
Pushes a str of the last character of the top string.
str_from_nth_char¶
Takes: [str, int] - Produces: [str]
Pushes a str of the nth character of the top string. The top integer denotes nth position.
str_contains_str¶
Takes: [str, str] - Produces: [bool]
Pushes true if the next str is in the top string. Pushes false otherwise.
str_index_of_str¶
Takes: [str, str] - Produces: [int]
Pushes the index of the next str in the top string. If not found, pushes -1.
str_split_on_str¶
Takes: [str, str] - Produces: Arbitrary number of str values.
Pushes multiple strs produced by splitting the top str on the top str.
str_replace_first_str¶
Takes: [str, str, str] - Produces: [str]
- Pushes the str produced by replaceing the first occurrence of the
top str with the second str.
str_replace_n_str¶
Takes: [str, str, str, int] - Produces: [str]
- Pushes the str produced by replaceing the first n occurrences of the
top str with the second str. The value for n is the top int.
str_replace_all_str¶
Takes: [str, str, str] - Produces: [str]
- Pushes the str produced by replaceing all occurrences of the
top str with the second str.
str_remove_first_str¶
Takes: [str, str] - Produces: [str]
Pushes the str produced by removing the first occurrence of the top str.
str_remove_n_str¶
Takes: [str, str, int] - Produces: [str]
- Pushes the str produced by remvoing the first n occurrences of the
top str. The value for n is the top int.
str_remove_all_str¶
Takes: [str, str] - Produces: [str]
Pushes the str produced by removing all occurrences of the top str.
str_occurrences_of_str¶
Takes: [str, str] - Produces: [int]
Pushes the number of times the top str occurs in the top str to the int stack.
char_concat¶
Takes: [char, char] - Produces: [str]
Concatenates the top two chars and pushes the resulting string.
str_insert_char¶
Takes: [str, char, int] - Produces: [str]
- Inserts char into the top str at index n and pushes
the resulting string. The value for n is taken from the int stack.
char_from_first_char¶
Takes: [str] - Produces: [char]
Pushes a char of the first character of the top string.
char_from_last_char¶
Takes: [str] - Produces: [char]
Pushes a char of the last character of the top string.
char_from_nth_char¶
Takes: [str, int] - Produces: [char]
Pushes a char of the nth character of the top string. The top integer denotes nth position.
str_contains_char¶
Takes: [str, char] - Produces: [bool]
Pushes true if the next char is in the top string. Pushes false otherwise.
str_index_of_char¶
Takes: [str, char] - Produces: [int]
Pushes the index of the next char in the top string. If not found, pushes -1.
str_split_on_char¶
Takes: [str, char] - Produces: Arbitrary number of str values.
Pushes multiple strs produced by splitting the top str on the top char.
str_replace_first_char¶
Takes: [str, char, char] - Produces: [str]
- Pushes the str produced by replaceing the first occurrence of the
top char with the second char.
str_replace_n_char¶
Takes: [str, char, char, int] - Produces: [str]
- Pushes the str produced by replaceing the first n occurrences of the
top char with the second char. The value for n is the top int.
str_replace_all_char¶
Takes: [str, char, char] - Produces: [str]
- Pushes the str produced by replaceing all occurrences of the
top char with the second char.
str_remove_first_char¶
Takes: [str, char] - Produces: [str]
Pushes the str produced by removing the first occurrence of the top char.
str_remove_n_char¶
Takes: [str, char, int] - Produces: [str]
- Pushes the str produced by remvoing the first n occurrences of the
top char. The value for n is the top int.
str_remove_all_char¶
Takes: [str, char] - Produces: [str]
Pushes the str produced by removing all occurrences of the top char.
str_occurrences_of_char¶
Takes: [str, char] - Produces: [int]
Pushes the number of times the top char occurs in the top str to the int stack.
str_head¶
Takes: [str, int] - Produces: [str]
- Pushes a string of the first n characters from the top string. The value
for n is the top int mod the length of the string.
str_tail¶
Takes: [str, int] - Produces: [str]
- Pushes a string of the last n characters from the top string. The value
for n is the top int mod the length of the string.
str_append_char¶
Takes: [str, char] - Produces: [str]
Appends the top char to the top string pushes the resulting string.
str_drop¶
Takes: [str, int] - Produces: [str]
- Pushes the top str without its first n character. The value for n
is the top int mod the length of the string.
str_but_last_n¶
Takes: [str, int] - Produces: [str]
- Pushes the top str without its last n character. The value for n
is the top int mod the length of the string.
str_is_empty_string¶
Takes: [str] - Produces: [bool]
Pushes True if top string is empty. Pushes False otherwise.
str_remove_nth¶
Takes: [str, int] - Produces: [str]
Pushes the top str with the nth character removed.
str_set_nth¶
Takes: [str, char, int] - Produces: [str]
Pushes the top str with the nth character set to the top character.
str_strip_whitespace¶
Takes: [str] - Produces: [str]
Pushes the top str with trailing and leading whitespace stripped.
char_is_whitespace¶
Takes: [char] - Produces: [bool]
Pushes True if the top Char is whitespace. Pushes False otherwise.
char_is_letter¶
Takes: [char] - Produces: [bool]
Pushes True if the top Char is a letter. Pushes False otherwise.
char_is_digit¶
Takes: [char] - Produces: [bool]
Pushes True if the top Char is a numeric digit. Pushes False otherwise.
char_from_bool¶
Takes: [bool] - Produces: [char]
- Pushes the char “T” if the top bool is True. If the top
bool is False, pushes the char “F”.
char_from_ascii_int¶
Takes: [int] - Produces: [char]
Pushes the top int converted into a Character by using the int mod 128 as an ascii value.
_char_from_float¶
Takes: [float] - Produces: [char]
- Pushes the top float converted into a Character by flooring
the float to an int, taking the int mod 128, and using it as an ascii value.
chars_from_str¶
Takes: [str] - Produces: Arbitrary number of char values.
Pushes each character of the top str to the char stack in reverse order.
bool_invert_first_then_and¶
Takes: [bool, bool] - Produces: [bool]
- “Pushes the result of and-ing the top two booleans after inverting the
top boolean.
bool_second_first_then_and¶
Takes: [bool, bool] - Produces: [bool]
- “Pushes the result of and-ing the top two booleans after inverting the
second boolean.
bool_from_int¶
Takes: [int] - Produces: [bool]
If the top int is 0, pushes False. Pushes True for any other int value.
bool_from_float¶
Takes: [float] - Produces: [bool]
If the top float is 0.0, pushes False. Pushes True for any other float value.
noop_open¶
Takes: [] - Produces: [] - Opens 1 code blocks
A noop SimpleInstruction which does nothing. Opens a code block.
code_is_code_block¶
Takes: [code] - Produces: [bool]
Push True if top item on code stack is a CodeBlock. False otherwise.
code_is_singular¶
Takes: [code] - Produces: [bool]
Push True if top item on code stack is a not CodeBlock. False otherwise.
code_length¶
Takes: [code] - Produces: [int]
If the top code item is a CodeBlock, pushes its length, otherwise pushes 1.
code_first¶
Takes: [code] - Produces: [code]
If the top code item is a CodeBlock, pushes its first element.
code_last¶
Takes: [code] - Produces: [code]
If the top code item is a CodeBlock, pushes its last element.
code_rest¶
Takes: [code] - Produces: [code]
If the top code item is a CodeBlock, pushes it to the code stack without its first element.
code_but_last¶
Takes: [code] - Produces: [code]
If the top code item is a CodeBlock, pushes it to the code stack without its last element.
code_list¶
Takes: [code, code] - Produces: [code]
Wraps the top two items on the code stack in a CodeBlock.
code_combine¶
Takes: [code, code] - Produces: [code]
- Combines the top two items on the code stack in a CodeBlock.
If one items is a CodeBlock, the other item is appended to it. If both items are CodeBlocks, they are concatenated together.
code_do¶
Takes: [code] - Produces: [exec]
Moves the top element of the code stack to the exec stack for execution.
code_do_dup¶
Takes: [code] - Produces: [exec, code]
Copies the top element of the code stack to the exec stack for execution.
code_do_then_pop¶
Takes: PushState - Produces: PushState
- Pushes a code_pop JitInstructionRef and the top item of the
code stack to the exec stack. Result is the top code item executing before it is removed from the code stack.
code_do_range¶
Takes: PushState - Produces: PushState
- Evaluates the top item on the code stack for each step along
the range i to j. Both i and j are taken from the int stack.
exec_do_range¶
Takes: PushState - Produces: PushState - Opens 1 code blocks
- Evaluates the top item on the exec stack for each step along
the range i to j. Both i and j are taken from the int stack. Differs from code_do_range only in the source of the code and the recursive call.
code_do_count¶
Takes: PushState - Produces: PushState
- Evaluates the top item on the code stack n times, where
n comes from the n comes from the top of the int stack.
exec_do_count¶
Takes: PushState - Produces: PushState - Opens 1 code blocks
- Evaluates the top item on the exec stack n times, where
n comes from the n comes from the top of the int stack. Differs from code.do*count only in the source of the code and the recursive call.
code_do_times¶
Takes: PushState - Produces: PushState
- Evaluates the top item on the code stack n times, where
n comes from the n comes from the top of the int stack.
exec_do_times¶
Takes: PushState - Produces: PushState - Opens 1 code blocks
- Evaluates the top item on the code stack n times, where
n comes from the n comes from the top of the int stack.
exec_while¶
Takes: PushState - Produces: PushState - Opens 1 code blocks
- Evaluates the top item on the exec stack repeated until the top
bool is no longer True.
exec_do_while¶
Takes: PushState - Produces: PushState - Opens 1 code blocks
- Evaluates the top item on the exec stack repeated until the top
bool is no longer True.
code_map¶
Takes: PushState - Produces: PushState
- Evaluates the top item on the exec stack for each element of the top
CodeBlock on the code stack. If the top code item is not a CodeBlock, it is wrapped into one.
code_if¶
Takes: [bool, code, code] - Produces: [exec]
- If the top boolean is true, execute the top element of the code
stack and skip the second. Otherwise, skip the top element of the code stack and execute the second.
exec_if¶
Takes: [bool, exec, exec] - Produces: [exec] - Opens 2 code blocks
- If the top boolean is true, execute the top element of the exec
stack and skip the second. Otherwise, skip the top element of the exec stack and execute the second.
code_when¶
Takes: PushState - Produces: PushState
- Evalutates the top code item if the top bool is True.
Otherwise the top code is popped.
exec_when¶
Takes: PushState - Produces: PushState - Opens 1 code blocks
- Pops the next item on the exec stack without evaluating it
if the top bool is False. Otherwise, has no effect.
code_member¶
Takes: [code, code] - Produces: [bool]
- Pushes True if the second code item is a found within the top code item.
If the top code item is not a CodeBlock, it is wrapped.
code_nth¶
Takes: [code, int] - Produces: [code]
- Pushes nth item of the top element on the code stack. If
the top item is not a CodeBlock it is wrapped in a CodeBlock.
is_empty_code_block¶
Takes: [code] - Produces: [bool]
- Pushes true if top code item is an empty CodeBlock. Pushes
false otherwise.
code_size¶
Takes: [code] - Produces: [int]
- Pushes the total size of the top item on the code stack. If
the top item is a CodeBlock, this includes the size of all the CodeBlock’s elements recusively.
code_extract¶
Takes: [code, int] - Produces: [code]
- Traverses the top code item depth first and returns the nth
item based on the top int.
code_insert¶
Takes: [code, code, int] - Produces: [code]
- Traverses the top code item depth first and inserts the
second code item at position n. The value of n is the top int.
code_first_position¶
Takes: [code, code] - Produces: [int]
- Pushes the first position of the second code item within
the top code item. If not found, pushes -1. If the top code item is not a CodeBlock, this instruction returns 0 if the top two code elements are equal and -1 otherwise.
code_reverse¶
Takes: [code] - Produces: [code]
- Pushes the top code item reversed. No effect if top code
item is not a CodeBlock.
bool_dup_times¶
Takes: [int, bool] - Produces: Arbitrary number of bool values.
Duplicates the top bool n times where n is from the int stack.
bool_eq¶
Takes: [bool, bool] - Produces: [bool]
Pushes True if the top two bool are equal. Otherwise pushes False.
bool_stack_depth¶
Takes: PushState - Produces: [int]
Pushes the size of the bool stack to the int stack.
bool_yank¶
Takes: PushState - Produces: PushState
Yanks a bool from deep in the stack based on an index from the int stack and puts it on top.
bool_yank_dup¶
Takes: PushState - Produces: PushState
Yanks a copy of a bool deep in the stack based on an index from the int stack and puts it on top.
bool_shove¶
Takes: PushState - Produces: PushState
Shoves the top bool deep in the stack based on an index from the int stack.
bool_shove_dup¶
Takes: PushState - Produces: PushState
Shoves a copy of the top bool deep in the stack based on an index from the int stack.
bool_is_empty¶
Takes: PushState - Produces: [bool]
Pushes True if the bool stack is empty. Pushes False otherwise.
int_dup_times¶
Takes: [int, int] - Produces: Arbitrary number of int values.
Duplicates the top int n times where n is from the int stack.
int_eq¶
Takes: [int, int] - Produces: [bool]
Pushes True if the top two int are equal. Otherwise pushes False.
int_stack_depth¶
Takes: PushState - Produces: [int]
Pushes the size of the int stack to the int stack.
int_yank¶
Takes: PushState - Produces: PushState
Yanks a int from deep in the stack based on an index from the int stack and puts it on top.
int_yank_dup¶
Takes: PushState - Produces: PushState
Yanks a copy of a int deep in the stack based on an index from the int stack and puts it on top.
int_shove¶
Takes: PushState - Produces: PushState
Shoves the top int deep in the stack based on an index from the int stack.
int_shove_dup¶
Takes: PushState - Produces: PushState
Shoves a copy of the top int deep in the stack based on an index from the int stack.
int_is_empty¶
Takes: PushState - Produces: [bool]
Pushes True if the int stack is empty. Pushes False otherwise.
char_dup_times¶
Takes: [int, char] - Produces: Arbitrary number of char values.
Duplicates the top char n times where n is from the int stack.
char_eq¶
Takes: [char, char] - Produces: [bool]
Pushes True if the top two char are equal. Otherwise pushes False.
char_stack_depth¶
Takes: PushState - Produces: [int]
Pushes the size of the char stack to the int stack.
char_yank¶
Takes: PushState - Produces: PushState
Yanks a char from deep in the stack based on an index from the int stack and puts it on top.
char_yank_dup¶
Takes: PushState - Produces: PushState
Yanks a copy of a char deep in the stack based on an index from the int stack and puts it on top.
char_shove¶
Takes: PushState - Produces: PushState
Shoves the top char deep in the stack based on an index from the int stack.
char_shove_dup¶
Takes: PushState - Produces: PushState
Shoves a copy of the top char deep in the stack based on an index from the int stack.
char_is_empty¶
Takes: PushState - Produces: [bool]
Pushes True if the char stack is empty. Pushes False otherwise.
float_dup_times¶
Takes: [int, float] - Produces: Arbitrary number of float values.
Duplicates the top float n times where n is from the int stack.
float_rot¶
Takes: [float, float, float] - Produces: [float, float, float]
Rotates the top three floats.
float_eq¶
Takes: [float, float] - Produces: [bool]
Pushes True if the top two float are equal. Otherwise pushes False.
float_stack_depth¶
Takes: PushState - Produces: [int]
Pushes the size of the float stack to the int stack.
float_yank¶
Takes: PushState - Produces: PushState
Yanks a float from deep in the stack based on an index from the int stack and puts it on top.
float_yank_dup¶
Takes: PushState - Produces: PushState
Yanks a copy of a float deep in the stack based on an index from the int stack and puts it on top.
float_shove¶
Takes: PushState - Produces: PushState
Shoves the top float deep in the stack based on an index from the int stack.
float_shove_dup¶
Takes: PushState - Produces: PushState
Shoves a copy of the top float deep in the stack based on an index from the int stack.
float_is_empty¶
Takes: PushState - Produces: [bool]
Pushes True if the float stack is empty. Pushes False otherwise.
str_dup_times¶
Takes: [int, str] - Produces: Arbitrary number of str values.
Duplicates the top str n times where n is from the int stack.
str_eq¶
Takes: [str, str] - Produces: [bool]
Pushes True if the top two str are equal. Otherwise pushes False.
str_stack_depth¶
Takes: PushState - Produces: [int]
Pushes the size of the str stack to the int stack.
str_yank¶
Takes: PushState - Produces: PushState
Yanks a str from deep in the stack based on an index from the int stack and puts it on top.
str_yank_dup¶
Takes: PushState - Produces: PushState
Yanks a copy of a str deep in the stack based on an index from the int stack and puts it on top.
str_shove¶
Takes: PushState - Produces: PushState
Shoves the top str deep in the stack based on an index from the int stack.
str_shove_dup¶
Takes: PushState - Produces: PushState
Shoves a copy of the top str deep in the stack based on an index from the int stack.
str_is_empty¶
Takes: PushState - Produces: [bool]
Pushes True if the str stack is empty. Pushes False otherwise.
code_dup_times¶
Takes: [int, code] - Produces: Arbitrary number of code values.
Duplicates the top code n times where n is from the int stack.
code_eq¶
Takes: [code, code] - Produces: [bool]
Pushes True if the top two code are equal. Otherwise pushes False.
code_stack_depth¶
Takes: PushState - Produces: [int]
Pushes the size of the code stack to the int stack.
code_yank¶
Takes: PushState - Produces: PushState
Yanks a code from deep in the stack based on an index from the int stack and puts it on top.
code_yank_dup¶
Takes: PushState - Produces: PushState
Yanks a copy of a code deep in the stack based on an index from the int stack and puts it on top.
code_shove¶
Takes: PushState - Produces: PushState
Shoves the top code deep in the stack based on an index from the int stack.
code_shove_dup¶
Takes: PushState - Produces: PushState
Shoves a copy of the top code deep in the stack based on an index from the int stack.
code_is_empty¶
Takes: PushState - Produces: [bool]
Pushes True if the code stack is empty. Pushes False otherwise.
exec_dup_times¶
Takes: [int, exec] - Produces: Arbitrary number of exec values. - Opens 1 code blocks
Duplicates the top exec n times where n is from the int stack.
exec_swap¶
Takes: [exec, exec] - Produces: [exec, exec] - Opens 2 code blocks
Swaps the top two execs.
exec_rot¶
Takes: [exec, exec, exec] - Produces: [exec, exec, exec] - Opens 3 code blocks
Rotates the top three execs.
exec_eq¶
Takes: [exec, exec] - Produces: [bool]
Pushes True if the top two exec are equal. Otherwise pushes False.
exec_stack_depth¶
Takes: PushState - Produces: [int]
Pushes the size of the exec stack to the int stack.
exec_yank¶
Takes: PushState - Produces: PushState
Yanks a exec from deep in the stack based on an index from the int stack and puts it on top.
exec_yank_dup¶
Takes: PushState - Produces: PushState
Yanks a copy of a exec deep in the stack based on an index from the int stack and puts it on top.
exec_shove¶
Takes: PushState - Produces: PushState - Opens 1 code blocks
Shoves the top exec deep in the stack based on an index from the int stack.
exec_shove_dup¶
Takes: PushState - Produces: PushState - Opens 1 code blocks
Shoves a copy of the top exec deep in the stack based on an index from the int stack.
exec_is_empty¶
Takes: PushState - Produces: [bool]
Pushes True if the exec stack is empty. Pushes False otherwise.
code_from_exec¶
Takes: [exec] - Produces: [code] - Opens 1 code blocks
Moves the top exec to the code stack.


Android Pay for Bambora is currently in closed Beta. Contact your Account Manager for early access.
https://grow.na.bambora.com/android-pay-beta
Our Payments API allows your mobile app and online store to accept payments through Android devices or from a desktop using Google Chome.
When your customers use Android Pay, a virtual account number is used to represent their payment. No card details are sent with the transaction, keeping them safe and secure.
If this is your first time implementing our APIs we recommend reviewing our Reference guide, to get familiar with Bambora’s Payment APIs.
You can find more about Bambora and Android Pay on Github.
Before you accept Android Pay, you’ll need to turn on and register an Android Merchant ID with Bambora. Start by logging into your Member Area. Under configuration, click on mobile payments. From the Mobile Payments screen, you can enable Android Pay and add an Android Pay Merchant ID.
Enter a unique string and click ADD ANDROID MERCHANT ID to create your Android Pay Merchant ID. The ID comes with a newly created Public Key will be used as the publicKey
parameter in your Android app.
After you’ve added your Android Pay Merchant ID to your account, you can start integrating to your app.
Now that you’re ready to accept Android Pay, you’ll find plenty of code samples and instructions on integrating to your app through Google’s documentation. To learn more about the basics of Android Pay, click here.
When you make an android_pay
request to our Payments API, it’ll be formatted in JSON, calling to https://api.na.bambora.com/v1/payments/.
shell
curl https://api.na.bambora.com/v1/payments \
-H "Authorization: Passcode XXX1XXx11Xxx1xX1XxxxXxXXXXx1XXX1XxX1XXXxXXXxXxxxX11XXXxX1" \
-H "Content-Type: application/json" \
-d '{
"amount": 1.00,
"payment_method": "android_pay",
"android_pay": {
"android_pay_merchant_id": "<your_android_pay_merchant_id>",
"payment_token": "<android_pay_base64_encoded_token>",
"complete": true
}
}'
| Variable | Description |
|---|---|
| amount | The amount of the transaction. |
| payment_method | The method of payment for the transaction. For Android Pay, this will always be android_pay |
| android_pay | The object needed to pass an Android Pay token including the Android Pay Merchant ID, and the base64 payment token. |
| android_pay_merchant_id | Your Android Pay Merchant ID found in your Bambora Member Area under configuration and then mobile payments. |
| payment_token | The encrypted Android Pay token containing card holder details, generated from within your Android app. |
| complete | The type of transaction being performed. True indicates a Purchase, and false is a Pre-Authorisation. |
The sample below shows the action taken by a payment button in an Android app, generating a payment request.
```java SupportWalletFragment walletFragment = SupportWalletFragment.newInstance(walletFragmentOptions);
MaskedWalletRequest maskedWalletRequest = WalletUtil.createMaskedWalletRequest( itemsToPurchase, getString(R.string.public_key));
WalletFragmentInitParams.Builder startParamsBuilder = WalletFragmentInitParams.newBuilder() .setMaskedWalletRequest(maskedWalletRequest) .setMaskedWalletRequestCode(REQUEST_CODE_MASKED_WALLET);
walletFragment.initialize(startParamsBuilder.build());
getSupportFragmentManager().beginTransaction() .replace(R.id.android_pay_container, walletFragment) .commit(); ```
Your app will receive a payment token once the payment request has been successfully authorised. You then need to send the payment token to your server, and then from there send it to the Bambora Payments API.
Note: You can view additional source code examples for a demo Android client & payment server that implements sending a payment token to the Bambora Payments API here: Payments API Demo on Github.


Browser detection (also known as Browser sniffing) is a set of techniques used in websites and web applications in order to determine the web browser a visitor is using, and to serve browser-appropriate content to the visitor.
Sample Code
functiongetInternetExplorerVersion()
// Returns the version of Internet Explorer or a -1 for other browsers.
{
var rv = -1;
if(navigator.appName == 'Microsoft Internet Explorer')
{
var ua = navigator.userAgent;
varre = newRegExp("MSIE ([0-9]{1,}[\.0-9]{0,})");
if(re.exec(ua) != null)
rv = parseFloat( RegExp.$1 );
}
return rv;
}
functiononLoad()
{
var version = GetInternetExplorerVersion()
if (version <= 7 && version > -1)
{
// Code to run in Internet Explorer 7 or earlier.
}
}
Feature detection (also feature testing) is a technique used in web development for handling differences between runtime environments (typically web browsers or user agents), by programmatically testing for clues that the environment may or may not offer certain functionality.
Sample Code
if(window.addEventListener) {
// Browser supports "addEventListener"
window.addEventListener("load", myFunction, false);
} else if(window.attachEvent) {
// Browser supports "attachEvent"
window.attachEvent("onload", myFunction);
}
Many of these tips are already built into a project template like HTML5 Boilerplate to save you some time.
Those rules work equally well for projects targeted at modern browsers and ones that need older browser support all the way back to IE6.
IE Compat Inspector which can analyze your site in real time, pinpoint patterns of common problems and offer solutions. By including a simple JavaScript file in your code, you'll receive visual results right on your pages.
A good set of build tools such as HTML validators, CSS validators, Uglify, and JSHint, or GruntJS can find latent problems, enforce project code standards, and reduce file size to improve performance.
Start with <!DOCTYPE html>. The modern web has no place for Quirks Mode, which was designed so that mid-1990s web pages would be usable in turn-of-the-century "modern" browsers like IE6 and Firefox 2.
<meta http-equiv="X-UA-Compatible" content="IE=edge">
New HTML5 tags like section, header, and footer improve the semantics of markup, but require a special "shiv" script to run in Internet Explorer 6, 7, and 8 or they won't be recognized. Pages that need to work with these legacy browsers even when scripts are disabled cannot use the new HTML5 tags. Using plain div elements and classes is often a safer course of action for those cases.
Html5 semantic tagsDifferent browsers assume different baseline CSS rules. You can help them all to act the same by explicitly ironing out the differences up front. Eric Meyer, who wrote CSS: The Definitive Guide, uses this reset. Another popular choice is YUI Reset CSS.
https://github.com/necolas/normalize.css/As new draft standards progress, browser vendors sometimes get a jump on the standard by adding support via prefixed properties. To ensure that the CSS continues to work in the future, use all the vendor-prefixed names and the non-prefixed name as well. This blog post provides a plain-JavaScript alternative.
The userAgent string is a poor indicator of whether a particular feature (or bug) is present. To compound the problem, much of the code that interprets userAgent does so incorrectly. We recommend Modernizr as the easiest way to implement feature detection.
Whenever your JavaScript needs to work with elements on your page, it's best to use a library like jQuery, Prototype, or MooTools. These libraries are used by many thousands of developers, and they take most of the inconsistencies between browsers' interpretation of JavaScript, deal with those internally, and give you a consistent set of commands that just work.


| Up | TOC | Index | |||||
| << 7 Included Tools | < 8.18 Sorting | Up: 8 API Reference | 8.20 Locale Names > | 9 Release Notes >> |
8.19 Locale Routines
8.19.1 Message Translation Functions
<IP_ADDRESS> set_lang_path
include std/locale.e namespace locale public procedure set_lang_path(object pp)
sets the language path.
Parameters:
- pp : an object, either an actual path or an atom.
Comments:
When the language path is not set, and it is unset by default, set does not load any language file.
See Also:
<IP_ADDRESS> get_lang_path
include std/locale.e namespace locale public function get_lang_path()
gets the language path.
Returns:
An object, the current language path.
See Also:
<IP_ADDRESS> lang_load
include std/locale.e namespace locale public function lang_load(sequence filename)
loads a language file.
Parameters:
- filename : a sequence, the name of the file to load. If no file extension is supplied, then ".lng" is used.
Returns:
A language map, if successful. This is to be used when calling translate.
If the load fails it returns a zero.
Comments:
The language file must be made of lines which are either comments, empty lines or translations. Note that leading whitespace is ignored on all lines except continuation lines.
- Comments are lines that begin with a # character and extend to the end of the line.
- Empty Lines are ignored.
- Translations have two forms.
keyword translation_textIn which the 'keyword' is a word that must not have any spaces in it.
keyphrase = translation_textIn which the 'keyphrase' is anything up to the first '=' symbol.
It is possible to have the translation text span multiple lines. You do this by having '&' as the last character of the line. These are placed by newline characters when loading.
Example 1:
# Example translation file # hello Hola world Mundo greeting %s, %s! help text = & This is an example of some & translation text that spans & multiple lines. # End of example PO #2
See Also:
<IP_ADDRESS> set_def_lang
include std/locale.e namespace locale public procedure set_def_lang(object langmap)
sets the default language (translation) map.
Parameters:
- langmap : A value returned by lang_load, or zero to remove any default map.
Example 1:
set_def_lang( lang_load("appmsgs") )
<IP_ADDRESS> get_def_lang
include std/locale.e namespace locale public function get_def_lang()
gets the default language (translation) map.
Parameters:
none.
Returns:
An object, a language map, or zero if there is no default language map yet.
Example 1:
object langmap = get_def_lang()
<IP_ADDRESS> translate
include std/locale.e namespace locale public function translate(sequence word, object langmap = 0, object defval = "", integer mode = 0)
translates a word, using the current language file.
Parameters:
- word : a sequence, the word to translate.
- langmap : Either a value returned by lang_load or zero to use the default language map
- defval : a object. The value to return if the word cannot be translated. Default is "". If defval is PINF then the word is returned if it can not be translated.
- mode : an integer. If zero (the default) it uses word as the keyword and returns the translation text. If not zero it uses word as the translation and returns the keyword.
Returns:
A sequence, the value associated with word, or defval if there is no association.
Example 1:
sequence newword newword = translate(msgtext) if length(msgtext) = 0 then error_message(msgtext) else error_message(newword) end if
Example 2:
error_message(translate(msgtext, , PINF))
See Also:
<IP_ADDRESS> trsprintf
include std/locale.e namespace locale public function trsprintf(sequence fmt, sequence data, object langmap = 0)
returns a formatted string with automatic translation performed on the parameters.
Parameters:
- fmt : A sequence. Contains the formatting string. See printf for details.
- data : A sequence. Contains the data that goes into the formatted result. see printf for details.
- langmap : An object. Either 0 (the default) to use the default language maps, or the result returned from lang_load to specify a particular language map.
Returns:
A sequence, the formatted result.
Comments:
This works very much like the sprintf function. The difference is that the fmt sequence and sequences contained in the data parameter are translated before passing them to sprintf. If an item has no translation, it remains unchanged.
Further more, after the translation pass, if the result text begins with "__", the "__" is removed. This function can be used when you do not want an item to be translated.
Example 1:
-- Assuming a language has been loaded and -- "greeting" translates as '%s %s, %s' -- "hello" translates as "G'day" -- "how are you today" translates as "How's the family?" sequence UserName = "Bob" sequence result = trsprintf( "greeting", {"hello", "__" & UserName, "how are you today"}) --> "G'day Bob, How's the family?"
8.19.2 Time and Number Translation
<IP_ADDRESS> set
include std/locale.e namespace locale public function set(sequence new_locale)
sets the computer locale, and possibly loads an appropriate translation file.
Parameters:
- new_locale : a sequence representing a new locale.
Returns:
An integer, either 0 on failure or 1 on success.
Comments:
Locale strings have the following format: xx_YY or xx_YY.xyz . The xx part refers to a culture, or main language or script. For instance, "en" refers to English, "de" refers to German, and so on. For some languages, a script may be specified, like "mn_Cyrl_MN" (Mongolian in cyrillic transcription).
The YY part refers to a subculture, or variant, of the main language. For instance, "fr_FR" refers to metropolitan France, while "fr_BE" refers to the variant spoken in Wallonie, the French speaking region of Belgium.
The optional .xyz part specifies an encoding, like .utf8 or .1252 . This is required in some cases.
<IP_ADDRESS> get
include std/locale.e namespace locale public function get()
gets the current locale string.
Returns:
A sequence, a locale string.
See Also:
<IP_ADDRESS> money
include std/locale.e namespace locale public function money(object amount)
converts an amount of currency into a string representing that amount.
Parameters:
- amount : an atom, the value to write out.
Returns:
A sequence, a string that writes out amount of current currency.
Example 1:
-- Assuming an en_US locale money(1020.5) -- returns"$1,020.50"
See Also:
<IP_ADDRESS> number
include std/locale.e namespace locale public function number(object num)
converts a number into a string representing that number.
Parameters:
- num : an atom, the value to write out.
Returns:
A sequence, a string that writes out num.
Example 1:
-- Assuming an en_US locale number(1020.5) -- returns "1,020.50"
See Also:
<IP_ADDRESS> datetime
include std/locale.e namespace locale public function datetime(sequence fmt, datetime :datetime dtm)
formats a date according to current locale.
Parameters:
- fmt : A format string, as described in datetime:format
- dtm : the datetime to write out.
Returns:
A sequence, representing the formatted date.
Example 1:
include std/datetime.e datetime("Today is a %A", datetime:now())
See Also:
<IP_ADDRESS> get_text
include std/locale.e namespace locale public function get_text(integer MsgNum, sequence LocalQuals = {}, sequence DBBase = "teksto")
gets the text associated with the message number in the requested locale.
Parameters:
- MsgNum : An integer. The message number whose text you are trying to get.
- LocalQuals : A sequence. Zero or more locale codes. Default is {}.
- DBBase: A sequence. The base name for the database files containing the locale text strings. The default is "teksto".
Returns:
A string sequence, the text associated with the message number and locale.
The integer zero, if associated text can not be found for any reason.
Comments:
- This first scans the database or databases linked to the locale codes supplied.
- The database name for each locale takes the format of "<DBBase>_<Locale>.edb" so if the default DBBase is used, and the locales supplied are {"enus", "enau"} the databases scanned are "teksto_enus.edb" and "teksto_enau.edb". The database table name searched is "1" with the key being the message number, and the text is the record data.
- If the message is not found in these databases (or the databases do not exist) a database called "<DBBase>.edb" is searched. Again the table name is "1" but it first looks for keys with the format {<locale>,msgnum} and failing that it looks for keys in the format {"", msgnum}, and if that fails it looks for a key of just the msgnum.


Client ID: connect
Topic
Retained Messages: | Quality of Service: QOS_0 QOS_1 QOS_2
Quality of Service: QOS_0 QOS_1 QOS_2


My Favorite Places on Earth
- Auckland, New Zealand
- Dublin, Ireland
- Chelan, Washington
- Kaui, Hawaii
- Zion, Utah
- Rotorua New Zealand
- Moab, Utah
- Santa Cruz, California
- Gallway Ireland
- New York City, New York
Education/Job Experience
- B.A. Communication from Gonzaga University
- Sales, Women's Shoes Nordstrom
- Sales internship Sever Farms
- Technical Sales position I.B.Q. Systems, integrated into Software Development


Settings for memory game
Number
Time (seconds)
QuizY jQuery memory plugin
Founded pair:
0
Time:
0
Reset game
Flag icons for this demo - by
James Gill


QHacks 2
18
Facebook
Instagram
GitHub
Donate
Where could I have gone?
Connect with:
No Fitbit?
Demo
Created by
the Qhackers
&
Creative Tim


Resolve and interpret uid to comprehensible results, used for objects identification.
More...
#include <TAUIDParser.h>
Resolve and interpret uid to comprehensible results, used for objects identification.
- Author
- SUN Yazhou, asia..nosp@m.rabb.nosp@m.it@16.nosp<EMAIL_ADDRESS>- Date
- Created: 2017/10/16 Last revised: 2017/10/16, SUN Yazhou.
- Copyright
- 2017-2018, SUN Yazhou.
◆ TAUIDParser()
| TAUIDParser::TAUIDParser |
( |
| ) |
|
◆ ~TAUIDParser()
| TAUIDParser::~TAUIDParser |
( |
| ) |
|
|
virtual |
◆ DNS()
| void TAUIDParser::DNS |
( |
int * |
result, |
|
|
unsigned |
uid |
|
) |
| |
|
static |
◆ UIDGenerator()
| unsigned TAUIDParser::UIDGenerator |
( |
const int * |
type | ) |
|
|
static |
The documentation for this class was generated from the following files:


WITNESS LIST Education Committee April 1, 2003 - 8:30A SB 13 FOR: Hollingsworth, Lonnie (TCTA), Austin, TX Whelan, Lauren (Association of Texas Professional Educators), Austin, TX ON: Anderson, David (Texas Education Agency), Austin, TX Petty, Sandra (Bryan ISD), Bryan, TX Registering, but not testifying: For: Fallon, Gayle (Houston Federation of Teachers), Houston, TX Kelly, Jack (Texas State Teachers Association), Austin, TX Lara, Rene (Texas Federation of Teachers), Austin, TX Pena, Martin (South Texas Association of Schools), Laguna Vista, TX SB 474 FOR: Crowley, John Paul (Children in Texas/A Texas School District), San Marcos, TX Dabney, Carey (Self), Austin, TX Drefke, Terri (Texas Association of Second Harvest Food Banks), Austin, TX Dudish, Kimberly (Self), Austin, TX Hagert, Celia (Center for Public Policy Priorities), Austin, TX Hooser, Greg (Texas Dietetic Assn. & Texas School Food Service Assn.), Austin, TX Huddleston, Albert D. (Self), Dallas, TX Jackson, Mary (Self), Spicewood, TX Kennedy, Deborah (Texas Dietetic Association), Crockett, TX Lara, Rene (Texas Federation of Teachers), Austin, TX Millea, Susan (Parent, Small Business, School Health Advisory Council), Austin, TX Mouser, Patricia (Texas School Food Service Assn.), Midland, TX Sheffield, Dani (Texas School Food Service Assoc.), The Woodlands, TX Smith, Michelle (Self), Austin, TX Tounget, Craig (Texas PTA), Austin, TX Ward, Jerri (Texas Dietetic Association), Austin, TX AGAINST: Carpenter, Bill (Houston Independent School District), Houston, TX Cochran, Neva (Coalition for a Healthy & Active America), Dallas, TX Collins, Robby (Dr. Mike Moses & Dallas ISD), Dallas, TX Franklin, Strike (Campbell ISD), Campbell, TX Killough, Lois (Galena Park ISD), Galena Park, TX Moore, John (Galena Park ISD), Galena Park, TX Oliver, Joe (Sulphur Springs ISD), Sulphur Springs, TX Rodriguez, Luis (Judson ISD), San Antonio, TX Taylor, Dale (Granbury Ind. School District), Granbury, TX Teitelbaum, Jay (Adolph's Vending Service/TMVA), Dallas, TX Winkler, Sarah (Alief ISD and TX Assn. School Boards), Austin, TX ON: Combs, Commissioner Susan (Texas Dept. of Agriculture), Austin, TX Perkins, John (TEA), Austin, TX Sanchez, Commissioner Eduardo (Texas Department of Health), Austin, TX Registering, but not testifying: For: Banda, Jennifer (Texas Hospital Association), Austin, TX Banning, Tom (Tx Academy of Family Physicians), Austin, TX Burke, Kendra (Self), San Antonio, TX Burns, Dianna (TMA/TPS), Austin, TX De la Garza, Veronica (American Diabetes Association), Austin, TX Eiseman, Kay (Texas Dietetic Association), Dallas, TX Erseman, Mike (Texas Dietetic Assoc.), Dallas, TX Hill, Michael (Texas Action for Healthy Kids Alliance), Austin, TX Kelly, Jack (Texas State Teachers Assn.), Austin, TX Kroll, Carrie (Texas Pediatric Society), Ausitn, TX Noble, Shannon (Texas Counseling Association), Austin, TX Pena, Martin (Self), Laguna Vista, TX Ross, Susan (Texas Dental Association), Austin, TX Smith, Tom 'Smitty' (Public Citizen), Austin, TX Whelan, Lauren (Assoc. of Texas Professional Educators), Austin, TX Yanez-Correa, Ana (Texas LULAC), Austin, TX Against: Archibald, Robert (Self), Sachse, TX Bauserman, Bradley (Self), San Antonio, TX Born, Thom (Self), Dayton, TX Brown, Cheryl (Self), Dallas, TX Doran, John (El Paso ISD), El Paso, TX Grusendorf, Bill (Tx Assoc. of Rural Schools), San Saba, TX Jones, Keith (Pizza Hut, Taco Bell, KFC, Long John Sivers, A & W), Dallas, TX King, Mary A. (Texas Association of Secondary School Principals), Austin, TX Kopec, Joe (Texas Association of Secondary School Principals), Austin, TX Kranz, Tony (Self), Liberty Hill, TX Long, Jay (Self), Ft. Worth, TX Oliver, Dicque (Sulphur Springs ISD), Sulphur Springs, TX Popwski, Bob (Texas School Alliance), Austin, TX Pruski, John (Self), Falls City, TX Reeves, Gary (Texas Assoc. School Personnel Adms.), Garland, TX Rhine, John (Self), Douglass, TX Soehnge, Karen (Texas Association of School Administrators), Austin, TX Troxell, Dan (Cypress-Fairbanks ISD), Houston, TX Weeks, Charles (Tenaha ISD-Timpson), Tenaha, TX On: McComb, Michelle (TX Dept. of Health), Austin, TX Santiago, Gwen (Texas Association of School Business Officials), Austin, TX Providing written testimony: For: Ogorzaly, Molly (Get Growing Symposium), Austin, TX Smith, Eileen (America Heart Association), Austin, TX Against: Jackson, Richie (Texas Restaurant Assn.), Austin, TX Yeager, David (Brenham ISD), Brenham, TX SB 596 FOR: Hartman, Eric (Texas Federation of Teachers), Austin, TX Registering, but not testifying: For: Hollingsworth, Lonnie (TCTA), Austin, TX Jackson, Diane (Spring Branch ISD), Houston, TX King, Mary A. (Texas Association of Secondary School Principals), Austin, TX Troxell, Dan (Cypress-Fairbanks ISD), Houston, TX SB 617 Registering, but not testifying: For: Borden, Sandi (Texas Elementary Principals & Supervisors Association), Austin, TX Grusendorf, Bill (Texas Association of Rural Schools), San Saba, TX Hollingsworth, Lonnie (TCTA), Austin, TX King, Mary A. (Texas Association of Secondary School Principals), Austin, TX Pena, Martin (South Texas Association of Schools), Laguna Vista, TX SB 894 FOR: Borden, Sandi (Texas Elementary Principals & Supervisors Association), Austin, TX Petty, Sandra (Bryan ISD), Bryan, TX Soehnge, Karen (Texas Association of School Administrators), Austin, TX AGAINST: Lavine, Dick (Center for Public Policy Priorities), Austin, TX ON: Anderson, David (Texas Education Agency), Austin, TX Registering, but not testifying: For: Golson, Kathy (Texas Association of School Boards), Austin, TX Grusendorf, William (Bill) (Texas Association of Rural Schools), San Saba, TX King, Mary A. (Texas Association of Secondary School Principals), Austin, TX Pena, Martin (South Texas Association of Schools), Laguna Vista, TX Pierce, Wayne (Equity Center), Austin, TX Against: Moorhead, Bee (Texas Impact), Austin, TX SB 930 FOR: Douglass, Cathy (Texas Association of School Boards), Austin, TX Fallon, Gayle (Houston Federation of Teachers), Houston, TX Hollingsworth, Lonnie (TCTA), Austin, TX Whelan, Lauren (ATPE), Austin, TX ON: Anderson, David (Texas Education Agency), Austin, TX Conradt, Trish (Texas Retired Teachers Association), Austin, TX Registering, but not testifying: For: Borden, Sandi (Texas Elementary Principals & Supervisors Association), Austin, TX Kelly, Jack (Texas State Teachers Ass'n), Austin, TX Lara, Rene (Texas Federation of Teachers), Austin, TX Pena, Martin (South Texas Association of Schools), Laguna Vista, TX SB 933 FOR: Bennett, William (K-12), Washington, DC Jackson, Chancellor Lee (University of North Texas System), Denton, TX Packard, Ronald (K12), McLean, VA AGAINST: Gregg, Brock (ATPE), Austin, TX Hollingsworth, Lonnie (TCTA), Austin, TX Lara, Rene (Texas Federation of Teachers), Austin, TX ON: Anderson, David (TEA), Austin, TX Registering, but not testifying: Against: Pena, Martin (South Texas Association of Schools), Laguna Vista, TX On: Barnes, Susan (Texas Education Agency), Austin, TX SB 1240 FOR: Grusendorf, Bill (Texas Association of Rural Schools), San Saba, TX Registering, but not testifying: For: Hollingsworth, Lonnie (TCTA), Austin, TX Pierce, Wayne (Equity Center), Austin, TX Whelan, Lauren (ATPE), Austin, TX


Boudin meatball pork chop pork belly t-bone spare ribs biltong shankle jerky ball tip tongue sausage short ribs beef ribs. Drumstick salami leberkas ball tip ground round tri-tip biltong beef ribs bresaola turkey.
Boudin meatball pork chop pork belly t-bone spare ribs biltong shankle jerky ball tip tongue sausage short ribs beef ribs. Drumstick salami leberkas ball tip ground round tri-tip biltong beef ribs bresaola turkey.


Helping the 'special ones' using the power of machine learning to detect ADHD,Autism and Dyslexia.The project aims early detection of 'Autism' and 'Dyslexia' through a web platform fueled by machine learning. It uses a standard computer webcam to screen a children while he/she sees photograph/s or reads a passage on the screen.
The project detects the child's pupil movement across the screen, hence giving a hint about his/her early symptoms of Autism & ADHD.
It does this by plotting a graph based on the co-ordinates of the pupil recorded according to the viewport.
These points are then fed
into a machine learning model trained to classify these patterns and thus showing the results as positive or negative against the
opted test.
Can be extended to/for:


My interestes lie in type Ia supernovae as distance indicators, the physics of supernovae (like the explosion mechanism and progenitors), and other stellar transients in general (e.g., peculiar supernovae, kilonovae, tidal disruption events, etc.). I am also interested in data science (e.g. deep learning) and coding in Python.
I am the author of the PISCOLA light-curve fitter, HostPhot and an active member of ePESSTO+ where I am incharge of the data-reduction pipeline. Also check my Astro-Visualization website. See my CV for a more detailed description of my background.
Currently, I am a postdoc at the Institute of Space Sciences (ICE-CSIC) in Barcelona, Spain. My current work focuses on using type Ia supernovae with near-infrared data to test the current standard cosmological model as part of the HostFlows project.
PhD in Astronomy, 2021
University of Southampton
MSc in Astrophysics, 2017
Pontificia Universidad Católica de Chile
BSc in Astronomy, 2015
Universidad de Chile
Advance coding with Python (pandas, astropy, scikit-learn, etc.) including Open Source software development and JOSS referee
Experience with different statistical tools (e.g., Bayesian analysis)
Experience with different Linux distros
Machine and deep learning for regression, outlier detection, classification, etc. Former LSSTC Data Science Fellow
Spanish (native), English (fluent) and French (basic)
I love playing the drums, it is one of my hobbies. Let me know if you want to jam!
Global and local photometry of galaxies hosting supernovae or other transients
Type Ia supernova light curve fitting code
Type II supernova fitting code
ePESSTO+ data-reduction pipeline
Pipeline for extracting supernova light curves with TESS data


| 2019-08-21 - Wednesday |
| 8:10 AM - 8:40 AM |
Concourse |
Registration at CGIS South |
|
| 8:40 AM - 10:10 AM |
S050 |
Shiny Reproducibility |
Joe Cheng |
| 8:40 AM - 10:10 AM |
S250 |
R Validation Hub (past, current and future state) |
Andy Nicholls |
| 8:40 AM - 10:10 AM |
S030 |
Artificial neural networks in R with Keras and TensorFlow |
Leon Eyrich Jessen |
| 10:10 AM - 10:30 AM |
Concourse |
Break |
|
| 10:30 AM - 12:30 PM |
S050 |
Shiny Reproducibility |
Joe Cheng |
| 10:30 AM - 12:30 PM |
S250 |
R Validation Hub (past, current and future state) |
Andy Nicholls |
| 10:30 AM - 12:30 PM |
S030 |
Artificial neural networks in R with Keras and TensorFlow |
Leon Eyrich Jessen |
| 12:30 PM - 1:30 PM |
Concourse |
Lunch |
|
| 1:30 PM - 3:00 PM |
S050 |
Machine learning |
Max Kuhn |
| 1:30 PM - 3:00 PM |
S250 |
plottly |
Carson Sievert |
| 1:30 PM - 3:00 PM |
S030 |
Machine learning workflow management with drake |
Will Landau |
| 3:00 PM - 3:20 PM |
Concourse |
Break |
|
| 3:20 PM - 5:20 PM |
S050 |
Machine learning |
Max Kuhn |
| 3:20 PM - 5:20 PM |
S250 |
plottly |
Carson Sievert |
| 3:20 PM - 5:20 PM |
S030 |
Machine learning workflow management with drake |
Will Landau |
| 6:00 PM - 9:30 PM |
By invitation |
Pre-Conference Dinner for Speakers |
|
| 2019-08-22 - Thursday |
| 8:10 AM - 9:00 AM |
Concourse |
Registration at CGIS South |
|
| 8:15 AM - 8:45 AM |
TBC |
Package Management |
Devin Pastoor |
| 8:15 AM - 8:45 AM |
TBC |
R Education in Pharma |
Paulo Bargo and Satish Murthy |
| 8:15 AM - 8:45 AM |
TBC |
R and Python Interoperability |
Sean Lopp |
| 9:00 AM - 9:15 AM |
Auditorium |
Opening Remarks |
Merce Crosas, Chief Data Science and Technology Officer, IQSS |
| 9:15 AM - 10:00 AM |
Auditorium |
Reproducibility and the role of code in reproducible data science |
Garrett Grolemund |
| 10:00 AM - 10:20 AM |
Auditorium |
Using R for Generic Drug Evaluation and SABE R-package for Assessing Bioequivalence of Topical Dermatological Products |
Elena Rantou |
| 10:20 AM - 10:30 AM |
Auditorium |
How to win friends and influence people: Efficiency, Reproducibility, and Scalability with R Project templates and parameterized R Markdown |
Leigh Alexander |
| 10:30 AM - 10:50 AM |
Auditorium |
Teaching an old dog new tricks: modernizing gsDesign |
Keaven Anderson |
| 10:50 AM - 11:10 AM |
Concourse |
Break |
|
| 11:10 AM - 11:30 AM |
Auditorium |
nlmixr: an R package for population PKPD modeling |
Mirjam Trame |
| 11:30 AM - 11:40 AM |
Auditorium |
Creating and reviving Shiny apps with {golem} |
Eric Nantz |
| 11:40 AM - 12:00 PM |
Auditorium |
Exploratory Graphics (xGx): Promoting the purposeful exploration of PKPD data |
Alison Margolskee |
| 12:00 PM - 12:10 PM |
Auditorium |
Interactive Visualization of Standardized CDISC-SEND-Formatted Toxicology Study Data Using R Shiny |
Kevin Snyder |
| 12:10 PM - 12:30 PM |
Auditorium |
Using RStudio.Cloud to advance R proficiency: a crowdsourcing training experience |
Paulo Bargo |
| 12:30 PM - 1:30 PM |
Concourse |
Lunch |
|
| 1:30 PM - 1:50 PM |
Auditorium |
Updates on Analyzing Clinical Trials Data with R |
Adrian Waddell |
| 1:50 PM - 2:00 PM |
Auditorium |
R Packages for Analyzing Clinical Trials Data with R Focusing on Safety And Early Efficacy |
Nina Qi |
| 2:00 PM - 2:20 PM |
Auditorium |
Package management |
Devin Pastoor |
| 2:20 PM - 2:30 PM |
Auditorium |
Shinytized R Markdown: A Potent OTC Alternative to 1,3,7‐Trimethylxanthine & Currently Indicated for NDA Document Generation, Among Others |
Mark Rothe |
| 2:30 PM - 2:50 PM |
Auditorium |
Collaborating at scale: managing an enterprise analytical computing ecosystem |
Rena Yang |
| 2:50 PM - 3:00 PM |
Auditorium |
Embrace R in Pharma - building internal R community and establishing fit-for-purpose R pilots |
Ning Leng |
| 3:00 PM - 3:20 PM |
Auditorium |
Re-envisioning Clinical Content Delivery in the Open Source World |
Doug Kelkhoff |
| 3:20 PM - 3:30 PM |
Auditorium |
The use of R for improved reproducibility of biomarker detection in liquid biopsies |
Vivian Zhuang |
| 3:30 PM - 3:50 PM |
Concourse |
Break |
|
| 3:50 PM - 4:35 PM |
Auditorium |
Breaking the Speed Limit: How R Gets Faster |
Marianna Foos |
| 4:35 PM - 4:45 PM |
Auditorium |
Leveraging multiple R tools to make effective pediatric dosing decisions |
Jeannine Fisher |
| 4:45 PM - 5:05 PM |
Auditorium |
Using Machine Learning and Interactive Graphics to Find New Cancer Targets |
David Cooper |
| 5:05 PM - 5:15 PM |
Auditorium |
Machine learning workflow management with drake |
Will Landau |
| 5:15 PM - 5:35 PM |
Auditorium |
An R package for Data Science and "Deep Visualization" of a complex clinical database |
David James |
| 6:00 PM - 7:30 PM |
Cambridge Innovation Center |
Conference Reception (Cambridge Innovation Center, 245 Main Street, Cambridge MA) |
|
| 2019-08-23 - Friday |
| 8:10 AM - 9:00 AM |
Concourse |
Registration at CGIS South |
|
| 8:15 AM - 8:45 AM |
TBC |
Shiny for Early Drug Discovery Research |
Gordon Turner |
| 8:15 AM - 8:45 AM |
TBC |
Shiny in Production |
Kelly O'Briant |
| 8:15 AM - 8:45 AM |
TBC |
SAS & R |
Bella Feng & Nate Mockler |
| 9:00 AM - 9:15 AM |
Auditorium |
Opening Remarks |
Xiao-Li Meng, Professor of Statistics and Founding Editor in Chief of the Harvard Data Science Review |
| 9:15 AM - 10:00 AM |
Auditorium |
Multi-modal data integration |
Aedin Culhane |
| 10:00 AM - 10:20 AM |
Auditorium |
Your Missing Step in Reproducible R Programming: Continuous Deployment |
Chase Clark |
| 10:20 AM - 10:30 AM |
Auditorium |
From playing in the backyard to designing one: Shiny transforms study designs, data analyses and statistical thinking of oncology in vivo group at Janssen |
Volha Tryputsen |
| 10:30 AM - 10:50 AM |
Auditorium |
ModViz POP: R-Shiny Based PK/PD Interface for Empowering Teams to Perform Real-Time Simulations |
Pavan Vaddady |
| 10:50 AM - 11:10 AM |
Concourse |
Break |
|
| 11:10 AM - 11:30 AM |
Auditorium |
Building Open Source Tools for Safety Monitoring: Advancing Research Through Community Collaboration |
Becca Krouse |
| 11:30 AM - 11:40 AM |
Auditorium |
It's Not What's on the Outside, but It's What's on the Back-end That Matters: The World Beyond CSV Files |
Marcus Adams |
| 11:40 AM - 12:00 PM |
Auditorium |
Improve installation sequences for R package cohorts |
Juliane Manitz |
| 12:00 PM - 12:10 PM |
Auditorium |
Evaluating the performance of advanced causal inference methods applied to healthcare claims data |
Jessica Myers Franklin |
| 12:10 PM - 12:30 PM |
Auditorium |
Tidysq for Working with Biological Sequence Data in ML Driven Epitope Prediction in Cancer Immunotherapy |
Leon Eyrich Jessen |
| 12:30 PM - 1:30 PM |
Concourse |
Lunch |
|
| 1:30 PM - 1:50 PM |
Auditorium |
This one is not like the others: Applicability Domain methods in R |
Max Kuhn |
| 1:50 PM - 2:00 PM |
Auditorium |
Accelerating Chemistry Research through the Integration of Data Science with High-Throughput Experimentation |
Jason Stevens |
| 2:00 PM - 2:20 PM |
Auditorium |
Reproducible shiny apps with shinymeta |
Carson Sievert |
| 2:20 PM - 2:30 PM |
Auditorium |
Shiny apps for accelerating early drug discovery research |
Gordon Turner |
| 2:30 PM - 2:40 PM |
Concourse |
Break - stretch your legs! |
|
| 2:40 PM - 3:00 PM |
Auditorium |
Using R to foster the communication with non-statisticians on Bayesian dose escalation models |
Marianna Grinberg |
| 3:00 PM - 3:10 PM |
Auditorium |
Prediction of maternal-fetal exposures of CYP450-metabolized drugs using physiologic pharmacokinetic modeling implemented in R and mrgsolve. |
Madeleine S. Gastonguay |
| 3:10 PM - 3:30 PM |
Auditorium |
Making Better Decisions |
Andy Nicholls |
| 3:30 PM - 3:40 PM |
Auditorium |
From CDISC to TLFs, using R to support Pharmacokinetic Analyses |
Jessica Higgins |
| 3:40 PM - 4:00 PM |
Concourse |
Break |
|
| 4:00 PM - 4:45 PM |
Auditorium |
Simulations, and Complex Innovative Trial Designs |
Paul Schuette |
| 4:45 PM - 4:55 PM |
Auditorium |
Validation Framework for Assay Processing Pipelines |
Ellis Hughes |
| 4:55 PM - 5:15 PM |
Auditorium |
Shiny in Production: Building bridges from data science to IT |
Kelly O'Briant |
| 5:15 PM - 5:25 PM |
Auditorium |
Identifying progression-free survival in Veterans with Diffuse Large B-Cell Lymphoma using electronic healthcare records |
Debbie Morreall |
| 5:25 PM - 5:45 PM |
Auditorium |
Democratizing Natural Language Processing with I2E and R Shiny |
Abhik Seal |
| 5:45 PM - 8:00 PM |
Beat Brew Hall: https://www.beatbrewhall.com/ |
Drinks Offsite |
|


Creates a topology from an environment blueprint.
The "Output File" parameter denotes where the new environment's outputs will be written to. Later build steps can inspect this file in order to grab information pertinent to them (such as IP addresses, user names and so forth).
All input fields support standard Jenkins parameters' expansion. For example, the string
${app_name}
will be expanded, in runtime, to the value of a build parameter called
app_name
.
For explanation about the format of the outputs file, refer to the help tooltip for that parameter.


Girls' Generation Yuri's brother facing 10 years in prison + netizens react
by sl278The brother of Girls' Generation's Yuri, Kwon Hyuk Jun, is facing 10 years in prison.
Kwon was recommended with the heaviest sentence from the prosecution among the group of sexual assaulters involved in the trial.
Kwon was arrested on charges of sexually assaulting an unconscious victim. The final verdict is expected to be held at 11 am on November 29.
Netizens have been reacting to the potential 10-year sentence, stating:
"Wow there's someone worse than Jung Joon Young."
"Does that mean Seungri gets 20 years and Yang Hyun Suk gets 30?"
"How bad was his crime that he gets 10 years...?"
What do you think of the possibility of 10 years? Is it too harsh or lenient?


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CrimPapers
Articles published on 3 April 2017
On 3 April 2017, 8 new articles were published in 5 journals.
Elusive Justice: Tribal Police Officers’ Perception of Justice in An American Indian Community by Favian Alejandro Martín, Mona J. E. Danner
Pondering Personal Privacy: A Pragmatic Approach to the Fourth Amendment Protection of Privacy in the Information Age by Ben Brown, Kevin Buckler
Co-Option, Coercion and Compromise: Challenges of Restorative Justice in Victoria, Australia by Masahiro Suzuki, William R. Wood
From Policing to Parole: Reconfiguring American Criminal Justice by Michael Tonry
Erratum by Jonathan P. Caulkins, Peter Reuter
The Practicalities of English and Welsh Rape Trials: Observations and Avenues For Improvement
Comparison of Murderers With Recidivists and First Time Incarcerated Offenders From U.s. Prisons on Psychopathy and Identity As A Criminal: An Exploratory Analysis
Review of Deutscher, M. L. 2017. Screening the System: Exposing Security Clearance Dangers


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cheat sheets
cheat sheets for "Perl" & "SQL" based upon the experience working for Vodafone as a "Value Added Services - Data Messaging Services Development Engineer" until June 2013.


Code
I've made the odd thing. Those that can be embedded in HTML, I'll link here.
Does Not Compute - Text Adventure


[gecode-users] Disjunctive Minizinc constraint
Sebastian Kosch
sebastian.kosch at mail.utoronto.ca
Fri Sep 18 20:31:46 CEST 2015
Hi,
I'd like to use Minizinc's disjunctive constraint in Gecode, but no such
thing is provided. The gecode_schedule_unary constraint requires known
processing times and isn't an option.
Now, there Gecode has a version of the unary constraint that has
flexible processing times, but also takes in an array of end times
(which it then doesn't propagate on, so I don't really get the point).
I've created a binding for it in the registry file and have given my
model a dummy array of end time variables, and that appears to work okay.
Still, it'd be nice if Gecode supported Minizinc's disjunctive(var[],
var[]) out of the box.
Is what I'm doing kosher, and could a "proper" version of this be added
to the trunk?
Many thanks,
Sebastian
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{% include "includes/phase_banner_beta.html" %}
{% include "includes/breadcrumbs/register-back.html" %}
Payment schedule
Based on the information you have entered here is a summary of the payment schedule. Remember, this will change if you alter apprenticeships in the future.
| Payment overview |
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| Duration of payments |
10 months |
| Total to pay |
£10,000.00 |
| Due date |
Payment |
| 20 July 2018 |
£888.96 |
| 20 August 2018 |
£888.88 |
| 20 September 2018 |
£888.88 |
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£888.88 |
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£888.88 |
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£888.88 |
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£888.88 |
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£888.88 |
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£888.88 |
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£2,000.00 |
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