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java.lang.Object interbase.interclient.Driver
public final class Driver
Represents a driver implementation and a factory for connections.
The Java SQL framework allows for multiple database drivers. Each driver should supply a class that implements the Driver interface. The DriverManager will try to load as many drivers as it can find and then for any given connection request, it will ask each driver in turn to try to connect to the target URL.
It is strongly recommended that each Driver class should be small and standalone so that the Driver class can be loaded and queried without bringing in vast quantities of supporting code.
When a Driver class is loaded, it should create an instance of itself and register it with the DriverManager. This means that a user can load and register a driver by doing Class.forName("foo.bah.Driver").
InterClient Notes:
There are various ways to load the InterClient driver.
See DriverExample.java
in the InterClient examples directory for details on loading the
InterClient driver under the JDBC 1 Driver API.
For details on loading the InterClient driver under the JDBC 2
DataSource
API see
DataSourceExample.java.
The basic method for loading the driver is as follows:
Class.forName ("interbase.interclient.Driver"); DriverManager.getConnection ("jdbc:interbase://server/c:/database-dir/atlas.gdb", "sysdba", "masterkey");You can register a named driver instance with the driver manager in addition to the automatically registered anonymous instance.
java.sql.Driver driver = new interbase.interclient.Driver (); java.sql.DriverManager.registerDriver (driver);However, registering multiple InterClient driver instances would only be necessary if different instances recognized different URL prefixes. For now, the InterClient driver only recognizes the JDBC protocol "jdbc:interbase:".
Information on using the InterClient driver with JBuilder can be found in the distributed JBuilderNotes.txt file.
 Instead the InterServer component has an expiration date defined in the InterServer license file (ic_license.dat). Newer releases of InterServer may refuse to talk with older releases of InterClient. In this way, an older release of InterClient is effectively expired when all compatible versions of InterServer expire. A customer wishing to continue using a older version of InterServer/InterClient, may substitute in a new ic_license.dat file with an extended license.
Also see the JDBC 2 Standard Extension DataSource
API for the preferred alternative to the Driver API for establishing
connections.
Connection
| Field Summary | |
|---|---|
static int |
betaBuild
An intermediate level of InterClient build certification. |
static int |
finalBuild
The highest level of InterClient build certification. |
static int |
testBuild
The lowest level of InterClient build certification. |
| Constructor Summary | |
|---|---|
Driver()
Create an explicit driver instance. |
| Method Summary | |
|---|---|
boolean |
acceptsURL(java.lang.String url)
Returns true if the driver thinks that it can open a connection to the given URL. |
boolean |
clientServerEdition()
Are remote connections allowed. |
java.sql.Connection |
connect(java.lang.String url,
java.util.Properties properties)
Try to make a database connection to the given URL. |
boolean |
expiredDriver()
Has the InterClient driver expired. |
int |
getBuildCertificationLevel()
Gets the build certification level for this version of the InterClient driver. |
int |
getBuildNumber()
Gets the build number for this InterClient driver. |
java.lang.String |
getCompanyName()
Gets the name of the company that developed this driver. |
int[] |
getCompatibleIBVersions()
Gets the InterBase major versions which are compatible with this version of the InterClient driver. |
java.lang.String[] |
getCompatibleJREVersions()
Gets the JRE versions which are compatible with this version of the InterClient driver. |
java.util.Date |
getExpirationDate()
Gets the expiration date for this driver. |
static java.lang.String |
getInterClientVersionInfo()
Get the Driver Version string without connecting to any database. |
java.lang.String |
getJDBCNetProtocol()
Gets the database URL prefix to use for InterBase connections. |
int |
getMajorVersion()
Get the driver's major version number. |
int |
getMinorVersion()
Get the driver's minor version number. |
java.sql.DriverPropertyInfo[] |
getPropertyInfo(java.lang.String url,
java.util.Properties properties)
The getPropertyInfo method is intended to allow a generic GUI tool to discover what properties it should prompt a human for in order to get enough information to connect to a database. |
boolean |
jdbcCompliant()
Report whether the Driver is a genuine JDBC COMPLIANT (tm) driver. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final int testBuild
public static final int betaBuild
public static final int finalBuild
| Constructor Detail |
|---|
public Driver()
| Method Detail |
|---|
public java.sql.Connection connect(java.lang.String url, java.util.Properties properties) throws java.sql.SQLException
The driver should raise a SQLException if it is the right driver to connect to the given URL, but has trouble connecting to the database.
The java.util.Properties argument can be used to passed arbitrary string tag/value pairs as connection arguments. Normally at least "user" and "password" properties should be included in the Properties.
InterClient note: See Connection Properties in the InterClient Help documentation.
connect
in interface java.sql.Driver
url
- The URL of the database to connect to
// * @param info a list of arbitrary string tag/value pairs as
// * connection arguments; normally at least a "user" and
// * "password" property should be included
java.sql.SQLException
- if a database access error occurs.public boolean acceptsURL(java.lang.String url) throws java.sql.SQLException
InterClient note: InterClient only accepts URLs which begin with "jdbc:interbase:".
acceptsURL
in interface java.sql.Driver
url
- The URL of the database.
java.sql.SQLException
- if a database access error occurs.public java.sql.DriverPropertyInfo[] getPropertyInfo(java.lang.String url, java.util.Properties properties)
getPropertyInfo
in interface java.sql.Driver
url
- The URL of the database to connect to.
// * @param info A proposed list of tag/value pairs that will be sent on connect open.
public int getMajorVersion()
getMajorVersion
in interface java.sql.Driver
public int getMinorVersion()
InterClient note:
In addition to major and minor version numbers,
InterClient provides build numbers to further qualify driver versions.
Build numbers may be extracted from an InterClient driver object
via an extension to the JDBC API, getBuildNumber()
.
getMinorVersion
in interface java.sql.Driver
public static java.lang.String getInterClientVersionInfo()
InterClient Note:
public boolean jdbcCompliant()
jdbcCompliant
in interface java.sql.Driver
public int getBuildNumber()
getBuildCertificationLevel()
public int getBuildCertificationLevel()
testBuild
Test builds are experimental and uncertified with
no level of quality assurance whatsoever.
betaBuild
Beta builds are certified for quality assurance,
but remain experimental.
finalBuild
The highest level of InterClient build certification.
A final build is certified for quality assurance,
but is not experimental.
The progression from test, beta, to final build is not static functionally. That is, new functionality may be added to a beta build that does not exist in a test build, and likewise, there may be new functionality in a final build which does not exist in a beta build of the same version.
public boolean clientServerEdition()
A non-client/server edition would only allow "localhost" connections.
public boolean expiredDriver()
public java.lang.String getCompanyName()
public java.lang.String[] getCompatibleJREVersions()
public int[] getCompatibleIBVersions()
public java.util.Date getExpirationDate()
public java.lang.String getJDBCNetProtocol()
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Florida boy, 7, on bicycle killed in hit-and-run crash
OCALA, Fla. (AP) — Authorities in Florida say a 7-year-old boy was struck and killed riding his bicycle by a hit-and-run teenage driver who was later arrested.
The Ocala Star Banner reports Bryce Benson was riding his bicycle in the Florida Highlands, near Ocala when a 17-year-old driver struck him.
Florida Highway Patrol troopers say the car was traveling east on a road while Bryce was riding west, when they collided Friday. The teen did not stop afterward, went home and called his grandfather, who called 911.
Firefighters found the boy lying on the roadway. He was taken to a hospital where he died.
The teenager was arrested and appeared Saturday before a judge, who ordered him to be held in juvenile detention.
Information from: Ocala (Fla.) Star-Banner, http://www.starbanner.com/


Recipe 19.7. Looping on a Sequence by Overlapping Windows
Credit: Peter Cogolo, Steven Bethard, Ian Bicking
Problem
You have an iterable s and need to make
another iterable whose items are sublists (i.e., sliding
windows), each of the same given length, over
s' items, with successive
windows overlapping by a specified amount.
Solution
We can combine built-in function iter and function
islice from the standard library module
itertools to code a generator to solve our
problem:
import itertools
def windows(iterable, length=2, overlap=0):
it = iter(iterable)
results = list(itertools.islice(it, length))
while len(results) == length:
yield results
results = results[length-overlap:]
results.extend(itertools.islice(it, length-overlap))
if results:
yield results
if _ _name_ _ == '_ _main_ _':
seq = 'foobarbazer'
for length in (3, 4):
for overlap in (0, 1):
print '%d %d: %s' % (length, overlap,
map(''.join, windows(seq, length, overlap)))
This module, when run as a main script, emits:
3 0: ['foo', 'bar', 'baz', 'er']
3 1: ['foo', 'oba', 'arb', 'baz', 'zer', 'r']
4 0: ['foob', 'arba', 'zer']
4 1: ['foob', 'barb', 'baze', 'er']
When you know you don't need any overlap, a fast and
concise alternative is available:
def chop(iterable, length=2):
return itertools.izip(*(iter(iterable),)*length)
The body of this concise alternative may be a bit confusing until you
realize that the two occurrences of the asterisk ( *
) there play different roles: the first one is part of a
*args syntax form (passing the elements of a
sequence as separate positional arguments), the second one indicates
that a sequence (the Singleton tuple
(iter(iterable),) must be repeated
length times.
Discussion
In many cases, we need a sequence of sub-sequences of a given length,
and we have to start with a "flat"
iterable. For example, we can build a dictionary with given keys and
values by calling dict with a sequence of two-item
sequencesbut what if we start with a
"flat" sequence where keys and
values just alternate? The function windows in this
recipe meets this need:
the_dict = dict(windows(flat_alternating_keys_and_values))
Or, say we have an iterable whose items are the amounts of sales on
each day. To turn it into an iterable whose items are the amounts of
sales in each week (seven days):
weekly_sales = itertools.imap(sum, windows(daily_sales, 7))
The two use cases just presented are examples of how
windows can be useful when called without overlap
(in other words, with an overlap argument of
0, its default value), so the alternative
chop function also presented in the recipe would be
just as good (and faster). However, overlap is often useful when you
deal with iterables that are signals, or time series. For example, if
you have a function average such as:
def average(sequence):
return sum(sequence)/float(len(sequence))
then you can apply a simple low-pass filter to a signal:
filtered = itertools.imap(average, windows(raw_signal, 5, 2))
or get the moving average daily sales from the iterable of daily
sales:
mvavg_daily_sales = itertools.imap(average, windows(daily_sales, 7, 6))
The implementation of the windows generator in this
recipe is quite straightforward, if you're familiar
with itertools.islice (and you should be, if you
deal with iterables!). For the first
"window", we must clearly fill list
results with the appropriate number of items
(islice does that for us). At each subsequent
step, we must throw away a certain number of items from the
"front" of results
(we do that conveniently by list slicing, since
results is, indeed, a list) and
replenish the same number at the back (we do that by calling the
extend method of results, with
islice providing the needed
"new" items). That number, as a
little reasoning shows, is exactly that given by the expression
length-overlap. The loop terminates, if ever, only
when results cannot be entirely replenished. (The
loop never executes if results cannot even be filled
entirely in the first place.)
When the loop terminates, we may be left with a
"tail" in results,
a "last window" that is shorter
than length. What to do in that case depends on your
application's exact needs. The recipe, as given
above, just yields the shorter window as the last item of the
generator, which is what we'd probably want in all
of the previously mentioned use cases. In other cases, we might want
to drop the last, too-short window (just omit the last two statements
in function windows as given in the recipe), raise
an exception (when we know that such a situation should never occur),
or pad the last window to the required length with a pad value such
as None, by changing the last two statements in
function windows to something like:
if result:
result.extend(itertools.repeat(None, length-len(result)))
yield result
One important implementation detail: function
windows, as coded in the recipe, yields a new list
object at each step. It takes some time to generate all of these
objects. In some cases, it may be convenient to the caller to know
that each object it gets is a separate and independent list. Such
knowledge enables the caller to store or modify the objects it gets,
without having to make explicit copies. However, none of the use
cases we discussed gets any benefit from this feature. So, you could
optimize, by yielding the same list object every time. If you want
that optimization, just change the statement:
results = results[length-overlap:]
into:
del results[:length-overlap]
If you're applying this optimization, and
you're using Python 2.4, you should also consider
using the new type collections.deque instead of
list. In order to do so, you need to add the
statement:
import collections
at the start of your code, change the only occurrence of
list in the recipe into
collections.queue, and further change the updating
of results to avoid slicing, using, instead:
for i in xrange(length-overlap): results.popleft( )
If your windows are long, and if they overlap substantially, using
deque instead of list might
give you better performance, since deque is
optimized to support adding and removing items at
either end, while lists,
being compact arrays in memory, are inherently slow (specifically,
O(n)
for a list of length n) when you add or
remove items at the beginning.
When you want windows of some length n
that overlap specifically by n-1 items,
function itertools.tee, new in Python 2.4, offers
an elegant alternative approach. Say that you want to look at each
item of the iterable, with access to a few neighboring items and some
padding at both ends, so that you get just as many windows as there
are items in the iterable. In Python 2.4, you could then code:
import itertools as IT
def windowed(iterable, pre=1, post=1, padding=None):
# tee-off one iterator for each index in the window
copies = IT.tee(iterable, pre + 1 + post)
pre_copies, copy, post_copies = copies[:pre], copies[pre], copies[pre+1:]
# iterators before the element have their start filled in with the
# padding value. no need to slice off the ends, izip will do that.
pre_copies = [IT.chain(IT.repeat(padding, pre - i), itr)
for i, itr in enumerate(pre_copies)]
# iterators after the element have their starts sliced off and their
# end filled in with the padding value, endlessly repeated.
post_copies = [IT.chain(IT.islice(itr, i + 1, None), IT.repeat(padding))
for i, itr in enumerate(post_copies)]
# zip the elements with their preceding and following elements
return IT.izip(*(pre_copies + [copy] + post_copies))
For example:
>>> print list(windowed(xrange(4), 1, 2, 'x'))
[('x', 0, 1, 2), (0, 1, 2, 3), (1, 2, 3, 'x'), (2, 3, 'x', 'x')]
If you use Python 2.4 and want this flavor of
"sliding windows" over the
iterable, with specified "padding"
at both ends, you might prefer this windowed
function to the recipe's windows
generator.
See Also
Library Reference documentation on built-in
iter and module itertools.
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blackjok3r
12-Sep-18 11:10 AM
its far less than here... but minimum wage is bullshit anyway, it creates LESS jobs by having it
im supposed to be on centrelink ATM, looking after small children all day...
kunts make it so hard to claim, rather instead have 0 income
at some point they will stop paying out, so may as well figure out how to live without it before that happens
managed to claim 26K off my Super as insurance last year, so wont lose any of that in a stock Market crash, plus its all in Gold and Energy stocks.


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Dr. Carl Sagan
Astronomer, writer, and communicator
A timeline of Carl's life
- 1934: Born in Brooklyn, NY
- 1955: Earns a bachelor's in Physics from the University of Chicago
- 1960: Publishes his dissertation "Physical Studies of Planets"
- 1960: Worked as a Miller fellow at UC Berkeley
- 1962: Began teaching at Harvard
- 1968: Transferred to Cornell University
- 1972: Worked on Pioneer 10, 11, and Voyager
- 1980: Cosmos - A Personal Voyage aires on PBS
- 1985: Writes "Contact", his best-selling novel
All information taken from Wikipedia


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Please provide a valid e-mail address. The main way of sending out notifications and updates is via e-mail.
If you enter an e-mail address in the form below, an activation e-mail will be sent to this address. You can always change your e-mail address in the profile section of the site.
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Argumentation Metamodel (ARM) Notation
Background
The ARM notation is an OMG-provided reconciliation of the goal-structuring notation (GSN) and the claim-argument-evidence (CAE) notation. With
the ARM metamodel one is able to produce argument models following the GSN or CAE conventions, or produce a notation specific to a particular
application.
References
- System Assurance Task Force: Argumentation Metamodel (ARM), Object Management Group, March 2010.


Website for my 2015 PennApps android application identifind.
www.identifind.meEducational android application that allows users to take images and select regions of the image that users have to "search for". The user can then send the image to other users who have to search for the specified region in the image that was selected, having clues given to them. This can be used as a game or as a teaching tool.
View ProjectPersonal website that holds my resume, portfolio and information about myself.
www.koenvanderhoeven.comOcaml paint editor which allows for mutliple colours and shapes. Includes a copy and paste functionality.


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An ATS resume is a document created in a way that lets the applicant tracking system parse the application with ease. The formatting is simple and easy to scan. ATS-friendly resumes also contain keywords that match the job ad, highlight relevant work experience and professional skills.
Visual Resume makes the personality of a candidate out of the box. It defines the individuality, through pictographic representations that showcase the key fact of your resume. In visual resume, you can easily modify the font style by highlighting the key points in bold or underline
An infographic resume is a creative way to show employers why you deserve their attention. While infographic resumes generally shouldn't replace a standard resume completely, they're perfect for bringing to interviews, publishing on your site or social media pages, and attaching to email applications.
A cover letter, covering letter, motivation letter, motivational letter or a letter of motivation is a letter of introduction attached to or accompanying another document such as a résumé or a curriculum vitae.


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