1.12 Built-in Functions
All built-in names (functions, exceptions, and so on) exist in the
implied outer built-in scope, which corresponds to the _
_builtin_ _ module. Because this scope is always searched
last on name lookups, these functions are always available in
programs without imports. However, their names are not reserved words
and may be hidden by assignments to the same name in global or local
scopes.
- abs(N)
-
Returns the absolute value of a number N.
- apply(func, args [, keys])
-
Calls any callable object func (a function,
method, class, etc.), passing the positional arguments in tuple
args, and the keyword arguments in dictionary
keys. Returns func call result.
- buffer(object [, offset [, size]])
-
Returns a new buffer object for a conforming
object (see the Python Library Reference).
- callable(object)
-
Returns 1 if object is callable; else, returns 0.
- chr(Int)
-
Returns a one-character string whose ASCII code is integer
Int.
- cmp(X, Y)
-
Returns a negative integer, zero, or a positive integer to designate
(X < Y),
(X == Y), or
(X > Y),
respectively.
- coerce(X, Y)
-
Returns a tuple containing the two numeric arguments
X and Y converted to a common
type.
- compile(string, filename, kind)
-
Compiles string into a code object.
string is a Python string containing Python
program code. filename is a string used in error
messages (and is usually the name of the file from which the code was
read, or <string> if typed interactively).
kind can be exec if
string contains statements;
eval if string is an
expression; or single, which prints the output of
an expression statement that evaluates to something other than
None. The resulting code object can be executed
with exec statements or eval
calls.
- complex(real [, imag])
-
Builds a complex number object (can also be done using
J or j suffix:
real+imagJ).
imag defaults to 0.
- delattr(object, name)
-
Deletes the attribute named name (a string) from
object. Similar to del
obj.name, but name is a string,
not a variable (e.g., delattr(a,'b') is like
del a.b).
- dir([object])
-
If no arguments, returns the list of names in the current local scope
(namespace). With any object with attributes as an argument, returns
the list of attribute names associated with that
object. In 1.5 and later, works on modules,
classes, and class instances, as well as built-in objects with
attributes (lists, dictionaries, etc.).
- divmod(X, Y)
-
Returns a tuple of (X /
Y, X %
Y).
- eval(expr [, globals [, locals]])
-
Evaluates expr, which is assumed to be either a
Python string containing a Python expression or a compiled code
object. expr is evaluated in the namespaces of the
eval call unless the globals
and/or locals namespace dictionary arguments are
passed. locals defaults to
globals if only globals is
passed. Returns expr result. Also see the
compile function earlier in this section and The exec Statement earlier in this book.
- execfile(filename [, globals [, locals]])
-
Like eval, but runs all the code in a file whose
string name is passed in as filename (instead of
an expression). Unlike imports, does not create a new module object
for the file. Returns None. Namespaces for code in
filename are as for eval.
- filter(function, sequence)
-
Constructs a list from those elements of sequence
for which function returns true.
function takes one parameter. If
function is None, returns all
true items.
- float(X)
-
Converts a number or a string X to a
floating-point number.
- getattr(object, name [, default])
-
Returns the value of attribute name (a string)
from object. Similar to
object.name, but name is a
string, not a variable (e.g., getattr(a,'b') is
like a.b). If the named attribute does not exist,
default is returned if provided; otherwise,
AttributeError is raised.
- globals( )
-
Returns a dictionary containing the caller's global variables
(e.g., the enclosing module's names).
- hasattr(object, name)
-
Returns true if object has an attribute called
name (a string); false otherwise.
- hash(object)
-
Returns the hash value of object (if it has one).
- hex(N)
-
Converts a number N to a hexadecimal string.
- id(object)
-
Returns the unique identity integer of object
(i.e., its address in memory).
- _ _import_ _(name [,globals [,locals [, fromlist] ]])
-
Imports and returns a module, given its name as a
string, not a variable (e.g., mod
= _ _import_ _("mymod")).
Generally faster than constructing and executing an
import statement string with
exec. This function is called by
import and from statements and
may be overriden to customize import operations. The second through
fourth arguments have advanced roles (see the Python Library
Reference).
- input([prompt])
-
Prints prompt, if given. Then reads an input line
from the stdin stream (sys.stdin), evaluates it as
Python code, and returns the result. Like
eval(raw_input(prompt)).
- int(X [, base])
-
Converts a number or a string X to a plain
integer. base may be passed only if
X is a string; if base is
passed as 0, the base is determined by the string contents; else, the
value passed for base is used for the base of the
conversion. Conversion of floating-point numbers to integers
truncates toward 0.
- intern(string)
-
Enter string in the table of "interned
strings" and return the interned string. Interned strings are
"immortals" and serve as a performance optimization (they
may be compared by fast is identity, rather than
== equality).
- isinstance(object, classOrType)
-
Returns true if object is an instance of
classOrType, or an instance of any subclass
thereof.
- issubclass(class1, class2)
-
Returns true if class1 is derived from
class2.
- iter(object [, sentinel])
-
Returns an iterator object that may be used to step through items in
object. Iterator objects returned have a
next( ) method that returns the next item or
raises StopIteration to end the progression. If
one argument, object is assumed to provide its own
iterator or be a sequence (normal case); if two arguments,
object is a callable that is called until it
returns sentinel. May overload in classes with
_ _iter_ _; may be automatically called by Python
in all iteration contexts. New in 2.2.
- len(object)
-
Returns the number of items (length) in a collection
object. Works on sequences and mappings.
- list(sequence)
-
Converter: returns a new list containing all the items in any
sequence object. If sequence is
already a list, returns a copy of it.
- locals( )
-
Returns a dictionary containing the local variables of the caller
(with one
key:value
entry per local).
- long(X [, base])
-
Converts a number or a string X to a long integer.
base may be passed only if X is
a string. If 0, the base is determined by the string contents; else,
it is used for the base of the conversion.
- map(function, seq [, seq]*)
-
Applies function to every item of any sequence
seq and returns a list of the collected results.
Example: map(abs, (1,
-2)) returns [1,
2]. If additional sequence arguments are passed,
function must take that many arguments, and it is
passed one item from each sequence on every call. If
function is None,
map collects all the items into a result list. If
sequences differ in length, all are padded to length of longest, with
Nones.
- max(S [, arg]*)
-
With a single argument S, returns largest item of
a nonempty sequence (e.g., string, tuple, list). With more than one
argument, returns largest of the arguments.
- min(S [, arg]*)
-
With a single argument S, returns smallest item of
a nonempty sequence (e.g., string, tuple, list). With more than one
argument, returns smallest of the arguments.
- oct(N)
-
Converts a number N to an octal string.
- open(filename [, mode, [bufsize]])
-
Returns a new file object, connected to the external file named
filename (a string). The filename is mapped to the
current working directory, unless the filename
string includes a directory prefix. The first two arguments are the
same as those for C's stdio fopen function,
and the file is managed by the "stdio" system.
mode defaults to 'r' if
omitted, but can be 'r' for input;
'w' for output; 'a' for append;
and 'rb', 'wb', or
'ab' for binary files (to suppress line-end
conversions). On most systems, most of these can also have a
"+" appended to open in input/output updates mode (e.g.,
'r+').
bufsize defaults to an implementation-dependent
value, but can be 0 for unbuffered, 1 for line-buffered, negative for
system-default, or a given specific size. Buffered data transfers may
not be immediately fulfilled (use flush methods to
force).
- ord(C)
-
Returns integer ASCII value of a one-character string
C (or the Unicode code point, if
C is a one-character Unicode string).
- pow(X, Y [, Z])
-
Returns X to power Y [modulo
Z]. Similar to the **
expression operator.
- range([start,] stop [, step])
-
Returns a list of successive integers between
start and stop. With one
argument, returns integers from zero through
stop-1. With two arguments, returns integers from
start through stop-1. With
three arguments, returns integers from start
through stop-1, adding step to
each predecessor in the result. start,
step default to 0, 1.
range(0,20,2) is a list of even integers from 0
through 18. Often used to generate offset lists for
for loops.
- raw_input([prompt])
-
Prints prompt string if given, then reads a line
from the stdin input stream (sys.stdin) and
returns it as a string. Strips trailing \n at end
of line and raises EOFError at the end of the
stdin stream.
- reduce(func, list [, init])
-
Applies the two-argument function func to
successive items from list, so as to reduce the
list to a single value. If init is given, it is
prepended to list.
- reload(module)
-
Reloads, re-parses, and re-executes an already imported
module in the module's current namespace.
Re-execution replaces prior values of the module's attributes
in-place. module must reference an existing module
object; it is not a new name or a string. Useful in interactive mode
if you want to reload a module after fixing it, without restarting
Python. Returns the module object.
- repr(object)
-
Returns a string containing a printable, and potentially parseable,
representation of any object. Equivalent to
`object` (backquotes expression).
- round(X [, N])
-
Returns the floating-point value X rounded to
N digits after the decimal point.
N defaults to zero.
- setattr(object, name, value)
-
Assigns value to attribute name
(a string) in object. Like
object.name =
value, but name is a string,
not a variable name (e.g., setattr(a,'b',c) is
like a.b=c).
- slice([start ,] stop [, step])
-
Returns a slice object representing a range, with read-only
attributes start, stop, and
step, any of which may be None.
Arguments are the same as for range.
- str(object)
-
Returns a string containing the printable representation of
object.
- tuple(sequence)
-
Converter: returns a new tuple with the same elements as any
sequence passed in. If sequence
is already a tuple, it is returned directly (not a copy).
- type(object)
-
Returns a type object representing the type of
object. Useful for type-testing in
if statements (e.g., if
type(X)==type([]):). See also module
types for preset objects to compare result to
(e.g., types.ListType), and
isinstance earlier in this section.
- unichr(i)
-
Returns the Unicode string of one character whose Unicode code is the
integer i (e.g., unichr(97)
returns the string u'a'). This is the inverse of
ord for Unicode strings. Argument must be in range
0..65535 inclusive, or ValueError is raised. New
in 2.0.
- unicode(string [, encoding [, errors]])
-
Decodes string using the codec for
encoding. Error handling is done according to
errors. The default behavior is to decode UTF-8 in
strict mode, meaning that encoding errors raise
ValueError. See also the codecs
module in the Python Library Reference. New in 2.0.
- vars([object])
-
Without arguments, returns a dictionary containing the current local
scope's names. With a module, class, or class instance object
as an argument, returns a dictionary corresponding to
object's attribute namespace (i.e., its
_ _dict_ _). Useful for "%" string
formatting.
- xrange([start,] stop [, step])
-
Like range, but doesn't actually store
entire list all at once (generates one integer at a time). Good to
use in for loops when there is a big range and
little memory. Optimizes space, but generally has no speed benefit.
- zip(seq [, seq]*)
-
Returns a list of tuples, where each
ith tuple contains
the ith element from
each of the argument sequences seq. For example,
zip('ab', 'cd') returns
[('a', 'c'),
('b', 'd')]. At least one
sequence is required, or a TypeError is raised.
The result list is truncated to the length of the shortest argument
sequence. When there are multiple argument sequences of the same
length, zip is similar to map
with a first argument of None. With a single
sequence argument, it returns a list of one-tuples. New in 2.0.
|


Taxadb¶
Taxadb is a application to locally query the ncbi taxonomy. Taxadb is written in python, and access its database using the peewee library.
Installation¶
Taxadb requires python 3.5 to work. To install, simply type the following in your terminal:
pip install taxadb
Available databases¶
The databases used by Taxadb are lengthy to build, therefore we provide pre-built databases. They are available for download below.
Usage¶
Querying the Database¶
Firstly, make sure you have downloaded or built the database
Below you can find basic examples. For more complete examples, please refer to the complete documentation (Available soon!)
>>> from taxadb import taxid
>>> name = taxid.sci_name(33208, 'mydb.sqlite')
>>> print(name)
Metazoa
>>> lineage = taxid.lineage_name(33208, 'mydb.sqlite')
>>> print(lineage)
['Metazoa', 'Opisthokonta', 'Eukaryota', 'cellular organisms']
To get the taxonomic information for accession numbers, you need to know from which ncbi division it originated. Example with accession numbers from the gb division:
>>> from taxadb.schema import *
>>> from taxadb import accession
>>> my_accessions = ['X17276', 'Z12029']
>>> taxids = accession.taxid(my_accessions, 'mydb.sqlite', Gb)
>>> taxids
<generator object taxid at 0x1051b0830>
>>> for tax in taxids:
print(tax)
('X17276', 9646)
('Z12029', 9915)
Creating the Database¶
Sqlite¶
The following commands will download the necessary files from the ncbi ftp and build a database called taxadb.sqlite in the current directory
taxadb download -o taxadb
taxadb create -i taxadb --dbname taxadb
You can then safely remove the downloaded files
rm -r taxadb
MySQL¶
Due to a problem with Foreign Keys, MySQL support has been put on hold for the time being
Creating databases is a very vendor specific task. Peewee, as most ORMs, can create tables but not databases. In order to use taxadb with MySQL, you’ll have to create the database yourself.
Connect to your mysql server
mysql -u $user -p
mysql> create database taxadb;
then run taxadb
taxadb download -o taxadb
taxadb create -i taxadb -d taxadb -t mysql -u $user -p $password
Contributing¶
Thought about a new feature that you’d like us to implement? Open an issue or fork the repository and submit a pull request


To the extent that the law allows, Deutsche Bank AG and any of the other contributors shall not be liable in any case for any consequential, chance, indirect or other damage of any kind whatsoever which results from the use of CrypTool. The user bears the sole risk in using the program.


Web Audio API examples: decodeAudioData() with XHR
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| Interface | Description |
|---|---|
| KillVMUtil.KillVMObject |
Remote interface that should be implemented by any object desiring
the capability to abruptly stop all processes in a given
ActivationGroup (VM).
|
| LeaseBackEnd |
Interface that grators of test leases implement so the test lease proxy
objects can communicate back to the grantor
|
| TestParticipant | |
| TxnManagerTestOpcodes |
The structure of a command sent to a TestParticipant is as follows
Operation field Exception field
-------------------------------------------------
|31|30|29|28|27|26|25|24|23|22|21|20|19|18|17|16| * * *
-------------------------------------------------
|<---------------- upper 16-------------------->|
---------------------------------------
* * * |15|14|13|12|11|10|9|8|7|6|5|4|3|2|1|0|
|--------------------------------------
|<------------ lower 16 ------------->|
bit# name description
=======================================================================
0 EXCEPTION_REMOTE throw a RemoteException
1 EXCEPTION_CANNOT_COMMIT throw CannotCommitException
2 EXCEPTION_CANNOT_ABORT throw CannotAbortExceptoin
3 EXCEPTION_CANNOT_JOIN throw CannotJoinException
4 OP_JOIN_IDEMPOTENT rejoin the transaction
5 OP_VOTE_NOTCHANGED vote NOTCHANGED on prepare
6 OP_VOTE_PREPARED vote PREPARED on prepare
7 OP_VOTE_ABORTED vote ABORTED on prepare
8 OP_INCR_CRASHCOUNT increment the crash count
9 OP_JOIN join the transaction
10 OP_EXCEPTION_ON_PREPARE allow exception on prepare
11 OP_EXCEPTION_ON_COMMIT allow exception on commit
12 OP_EXCEPTION_ON_ABORT allow exception on abort
13 OP_EXCEPTION_ON_PREPARECOMMIT allow exception on p&c
14 OP_TIMEOUT_PREPARE take long time to return
15 OP_TIMEOUT_ABORT take long time to return
16 OP_TIMEOUT_COMMIT take long time to return
17 OP_TIMEOUT_PREPARECOMMIT take long time to return
18 OP_TIMEOUT_VERYLONG timeout a very long time(60s)
19 OP_TIMEOUT_JOIN timout on any join
20 EXCEPTION_TRANSACTION throw UnknownTransactionException
21 OPERATION_COUNT placeholder to indicate
how many operations
|
| Class | Description |
|---|---|
| AbstractTestLeaseFactory |
AbstractTestLeaseFactory declares a single method which the LeaseBackEndImpl
can use to create any type of lease.
|
| AttributesUtil |
This class contains a set of static methods that provide general-purpose
functions for processing sets of attributes; functions such as displaying
information about the contents of one or more attribute sets, comparing
the contents of two such sets, etc.
|
| AttributesUtil.TestAttr00 |
Static convenience class for testing functionality in which
attributes must be added/modified/retrieved
|
| AttributesUtil.TestAttrSC00 |
Static convenience class for testing functionality in which
ServiceControlled attributes must be added/modified/retrieved
|
| AttrOne | |
| AttrTwo | |
| BadTestListener |
Listener for testing notify code resiliance in
the face of listener exceptions.
|
| BaseQATest |
This class is an abstract class that contains common functionality
related to construct and tearDown that may be useful to many of tests.
|
| BaseQATest.LocatorGroupsPair |
Ordered pair containing a LookupLocator and the corresponding groups
|
| BaseQATest.ToJoinPair |
Data structure representing a set of LookupLocators & groups to join
|
| BasicLeaseOwner |
This class is provides only essential and basic behavior to the
lease that it owns.
|
| ConstrainableTestLease |
Lease class use by renwal service tests when they don't want to use
LocalLease . |
| ConstrainableUnreadableTestLease |
Lease class use by renwal service tests when they don't want to use
LocalLease . |
| DestroyTest | |
| DiscoveryAdminUtil |
This class contains a set of static methods that provide general-purpose
functions related to the administration of the set of groups in which a
lookup service is a member, as well as the TCP port the lookup service
uses for its locator.
|
| DiscoveryProtocolSimulator |
Instances of this class provide general-purpose functions related to the
discovery protocol.
|
| DiscoveryServiceUtil |
This class contains a set of static methods that provide general-purpose
functions related to the use of the lookup discovery service.
|
| DiscoveryServiceUtil.BasicEventListener |
Convenience class for handling the events sent by the service
with which the client (the test) has registered
|
| EventMailBoxServices | |
| FailingOpCountingOwner |
A lease owner whose behavior is to throw expecptions and keep a
count of the operations performed on its TestLease.
|
| FailingOwner |
Owner implementation that throws a designated
throwable after a given number of renewals
|
| FiddlerAdminUtil |
This class contains a set of static methods that provide general-purpose
functions related to the administration of the fiddler implementation of
the lookup discovery service.
|
| ForeverOwner |
TrackingOwner for leases who have a membership expiration of
Lease.FOREVER
|
| GroupsUtil |
This class contains a set of static methods that provide general-purpose
functions for processing group sets; functions such as displaying the
contents of one or more group sets, comparing the contents of two group
sets, etc.
|
| JoinAdminUtil |
This class contains a set of static methods that provide general-purpose
functions related to the administration of a service's participation in
the join protocol.
|
| KillVMUtil |
This class contains a set of static classes and methods that provide
general-purpose functions related to shutting down an ActivationGroup (VM)
in which one or activatable processes are executing.
|
| KillVMUtil.KillVMObjectImpl |
Special activatable class whose instance, once registered with a
given ActivationGroup (VM), can be used to completely stop (or "kill")
all processes registered and running in that VM.
|
| LeaseBackEnd.RenewResults | |
| LeaseBackEndImpl |
Impl of the LeaseBackEnd remote interface for use by renewal service tests
|
| LeaseGrantTestBase |
Base class for tests which grab a lease and make sure the returned lease
meets give constraints.
|
| LeaseOwner |
Abstract base class for objects that track the condition of a particular
lease that has been given to a Lease Renewal Service for testing
|
| LeaseRenewalServices | |
| LeaseUsesTestBase |
Base class for tests which acquire some resource under a lease and
then use until the lease expires.
|
| LocatorsUtil |
This class contains a set of static methods that provide general-purpose
functions for processing sets of locators; functions such as displaying the
contents of one or more locator sets, comparing the contents of two such
sets, etc.
|
| LookupAttributeAdminTest | |
| LookupDiscoveryServices | |
| LookupGroupAdminTest | |
| LookupLocatorAdminTest | |
| LookupServices |
This class was refactored from BaseQATest, there are some minor issues
remaining:
TODO: Ensure lookup service instances can only be started once.
|
| LookupTestBase |
Base class for tests that thest JoinAdmin related functionality
|
| OpCountingOwner |
A lease owner whose sole behavior is to keep a count of the operations
performed on its TestLease.
|
| OurAbstractLease |
Lifted from org.apache.river.lease.AbstractLease so we can have a codebase
independent from the service under test.
|
| OurAbstractLeaseMap |
Lifted from org.apache.river.lease.AbstractLeaseMap so we can have a codebase
independent from the service under test.
|
| RememberingRemoteListener |
RememberingRemoteListener keeps track of each RemoteEvent it
receives and the time each event was received.
|
| RenewingRemoteListener |
RenewingRemoteListener keeps track of each RemoteEvent it
receives and if the event is an ExpirationWarningEvent it will attempt
to renew the lease.
|
| StorageAdminUtil |
This class contains a set of static methods that provide general-purpose
functions related to the administration of the location to which a
stores its persistent state.
|
| SunOfAttrOne | |
| TestBase |
Base class for spaces QA tests.
|
| TesterTransaction |
This is the transaction type used by
TesterTransactionManager . |
| TesterTransactionManager |
This class provides a simple transaction manager that tests can use
to test a particpant.
|
| TesterTransactionManagerProxy |
This class is a proxy to backend servers for simulations of activatable
lookup services that implement the LookupSimulator interface.
|
| TestLease |
Lease class use by renwal service tests when they don't want to use
LocalLease . |
| TestLeaseFactory |
TestLeaseFactory creates a new instance of a TestLease.
|
| TestLeaseProvider |
This class provides leases for testing purposes.
|
| TestParticipantImpl | |
| TrackingOwner |
Base class for owners that don't cause failures.
|
| TxnManagerTest | |
| TxnTestUtils | |
| UninterestingEntry | |
| UnreadableTestLease |
UnreadableTestLease isA TestLease that will throw an IOException
when an attempt is made to deserialize the Lease.
|
| UnreadableTestLeaseFactory |
UnreadableTestLeaseFactory creates a new instance of an UnreadableTestLease.
|
| Exception | Description |
|---|---|
| BadTestListener.BadListenerException |
Copyright 2007-2013, multiple authors.
Licensed under the Apache License, Version 2.0, see the NOTICE file for attributions.


MULAN
A Film Review by James Berardinelli
RATING: ***1/2 OUT OF ****
United States, 1998 U.S. Release Date: 6/19/98 (wide) Running Length: 1:25 MPAA Classification: G Theatrical Aspect Ratio: 1.85:1
Featuring the voices of: Ming-Na Wen, Eddie Murphy, B.D. Wong, Miguel Ferrer, Harvey Fierstein, Pat Morita, Soon-Tek Oh, George Takei Directors: Tony Bancroft, Barry Cook Producer: Pam Coats Screenplay: Eugenia Bostwick-Singer, Rita Hsiao, Philip LaZebnik, Chris Sanders, Raymond Singer Music: Jerry Goldsmith Songs by: Matthew Wilder and David Zippel U.S. Distributor: Walt Disney Pictures
My concept of a "family film" is a movie that can be enjoyed by viewers of all ages: undiscriminating young children, teenagers with short attention spans, and adults with somewhat more refined standards. Unfortunately, too often Hollywood equates a "family film" with something aimed at the under-10 crowd. While Disney's live-action pictures have often fallen victim to this approach, the corporation's animated features have remained largely exempt (although it's possible to argue about how widespread HERCULES' appeal is). MULAN, Disney's 36th animated movie, continues this trend. Arguably the most mature of the eight "new wave" (post-1988, beginning with THE LITTLE MERMAID) films, MULAN effortlessly blends serious, comic, and cute elements into a whole that should entertain the majority of movie-goers, regardless of race, gender, or age.
Over the past few years, the Disney animated films have been in a state of constant quality erosion. This slippage has left the door open for other production companies' challengers, such as Fox's ANASTASIA, which applied the Disney formula with greater success than was evident in the Mouse's recent entries. MULAN not only reverses this unfortunate tendency, but re-affirms Disney as Hollywood's premiere animation factory. MULAN is better than either ANASTASIA or the disappointing THE QUEST FOR CAMELOT, and represents the most impressive animated offering since THE LION KING. Adults will appreciate the depth of characterization while kids will love Mulan's sidekick, a colorful dragon named Mushu. Everyone will be entertained the fast-moving plot and rich animation.
The setting for this latest adventure is feudal China. An army of Huns under the command of the ruthless Shan-Yu (voice of Miguel Ferrer), has invaded the country, spreading death and disaster far and wide. The Chinese Emperor (Pat Morita) commands that one able-bodied male from every family must serve in an emergency army. Meanwhile, in a remote village, an independent-minded young woman named Mulan (Ming-Na Wen) has been rejected by a local matchmaker on the grounds that she is too willful. "You will never bring your family honor," decrees the matchmaker, causing Mulan to begin a period of soul-searching. When the Emperor's decree arrives, Mulan cuts her hair, dresses like a man, and enters the army in her father's place. With the help of her inept mythical guardian, the tiny dragon Mushu (Eddie Murphy), she seeks to win the confidence of her captain, Li Shang (B.D. Wong), and the acceptance of her fellow peasant-turned-warriors, while keeping her sex concealed from everyone.
MULAN is the first Disney animated film to deal with war and death on a large scale. The subject is not glossed over – the movie features several poignant sequences showing the devastation in the aftermath of a battle, including hundreds of lifeless bodies lying in the snow. Oddly, because there's nothing exploitative or gruesome about these images, they're more likely to affect older viewers, who will better understand the implications, than younger ones, for whom death is often a nebulous concept. In no way can it be said that MULAN is glorifying war.
The main character is cut from a familiar cloth. Although she looks different from Ariel, Belle, Jasmine, and Pocahontas, Mulan is very much the same type of individual: a woman with a strong, independent streak who is unwilling to bend to the customs of her culture, which decree that the role of the female is to be ornamental. The film isn't very subtle in reinforcing the idea of equality between the sexes, but the script contains a few amusing lines in this vein that will fly high over the heads of younger viewers.
As all Disney movies must, MULAN features a pair of new sidekicks. One, the second best-known cartoon cricket in the history of motion pictures, doesn't have a voice. The other, Mushu, never shuts up. It's clear that, in his vocal characterization of the dragon, Eddie Murphy is trying to top (or at least equal) Robin Williams' genie from ALADDIN. Amazingly, he comes close.  Mushu is the primary reason kids will love MULAN, and he's not so fundamentally juvenile that adults won't get a few chuckles out of him, as well.
If there's a disappointment in MULAN, it's the villain. Shan-Yu is not going to place high in the Disney Bad Guys Hall of Fame. The problem isn't that he's not nasty, because, with his scowling features, glaring eyes, and Darth Vader-like mannerisms, he's one of the most vicious men ever to appear in a Disney animated feature. Rather, it's his lack of screen time. Shan-Yu isn't around long enough for audiences to truly hate him. The final showdown is anti-climactic because he seems more like an afterthought than a major player.
Unsurprisingly, the animation is top-notch. The film has a unique look for an animated motion picture, using many more unusual camera angles than have previously been attempted in this kind of effort. There are the typically spectacular sequences: the opening shot of the Great Wall of China, scenes of a charging army, and the sight of a village in blazing ruins. In addition, the artists conquered an unusual challenge – to change the appearance of a cartoon character so that she looks like a male but is still obviously the same (female) person.
MULAN doesn't rely upon occasional double entendres to earn its acceptance with adults. Some of the dialogue is specifically aimed at an older audience. There's not so much that children will become confused or bored, but there's enough for Mom and Dad not to feel like they're being ignored or talked down to. It's also worth noting that MULAN is surprisingly light on songs, featuring only four or five (depending on how you count). Written by the team of Matthew Wilder and David Zippel, these are an improvement over what we were subject to in POCAHONTAS, THE HUNCHBACK OF NOTRE DAME, and HERCULES.
After several years of less-than-stellar entries, Disney has rebounded with MULAN, which once again raises the bar for animated quality. Now, if only the production company would apply the same effort to their live-action features. Then I might not cringe at the thought of reviewing any non-animated offering from the Magic Kingdom.
Copyright 1998 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1400 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"My belief is that no movie, nothing in life, leaves people neutral.
-- David Puttnam
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What factors are important in describing his motion?
This is a "random walker."
Collectively, they exhibit emergent properties.
In bulk, they diffuse.
Allow them to stick, and they form patterns.


Magyar Telekom says it is testing 5G technology with several suppliers
BUDAPEST (Reuters) - Magyar Telekom is testing high-speed 5G mobile network technology with several suppliers, including Huawei, it said, adding however that it had not entered into an agreement with the Chinese firm to build up its entire local network.
Hungarian telecoms regulator NMHH had registered Magyar Telekom as a participant in a tender for 5G spectrum launched in June, the Deutsche Telekom unit said in an emailed response to questions on Tuesday.
However, the regulator had scrapped the previously announced bidding dates and has not published new dates yet, Magyar Telekom said.


Input a number to see all numbers up to that number that are divisible by 3, 5, and 15. They will be replaced by the words ping, pong, and ping-pong respectively. *Large numbers may take longer to proccess


2022-present Senior Site Reliability Engineer (SRE), Bank of Cyprus
2020-2022 Infrastructure Engineer, Bank of Cyprus
2016-2020 R&D Engineer, PrimeTel PLC
2013 Instructor, Cyprus Productivity Centre
2009-2016 Technical Manager, PV Technology, University of Cyprus
2009-2016 Technical Manager, Electromagnetics and Novel Applications Laboratory, University of Cyprus
2010-2017 Ph.D. in Electrical Engineering, University of Cyprus
2007-2008 M.Sc. in Microelectronics Systems Design, University of Southampton
2003-2007 B.Sc. in Electrical Engineering, University of Cyprus


Mars is the fourth planet out from the sun in our solar system, and earthlings have been dreaming about going there for a very long time.
As far back as War of the Worlds 1897, sci-fi writers have fantasized that Mars was home to intelligent extraterrestrial life, partly because of the planet’s striking color, proximity, and visible polar ice caps.
In recent years, the unmanned probes we’ve sent to Mars haven't found any green aliens, but they have revealed that the planet has water locked in its ice caps and soils, as well as elements — such as nitrogen, oxygen, and carbon — that are essential to life as we know it. There’s also evidence that Mars once had liquid water and freshwater lakes on its surface — raising the possibility that the planet was once home to microbial life.
It's unlikely that any life survives on the surface of Mars today: the planet is relatively frigid and has no atmosphere or magnetic field to protect life from the radiation of space. But compared to other options nearby, like Venus and the Moon, it remains the most intriguing target for space exploration.
NASA currently has two rovers exploring Mars’ surface and two orbiting probes that send images back to Earth.
The technical and medical barriers to sending people to Mars are considerable, and many experts argue that it’d be easier and more fruitful simply to continue sending robotic probes. Even so, the dream of visiting Mars and perhaps even colonizing the planet loom large in the public’s imagination. NASA, private organizations, and even a reality TV show have proposed sending people to Mars sometime during the next few decades.
NASA


Palestinian journalist may lose eye after shot by Israel
by Associated PressBETHLEHEM, West Bank (AP) — Relatives say a Palestinian freelance photographer has lost vision in one eye after apparently being struck by Israeli fire while covering a demonstration in the occupied West Bank.
Palestinian colleagues say Muath Amarneh, 35, was targeted by Israeli forces during a demonstration last week near the volatile West Bank city of Hebron.
Palestinian journalists held a protest Sunday in Bethlehem. In several Arab countries, journalists also posted photos on social media wearing eye patches in solidarity.
Israel’s paramilitary border police says it didn’t target Amarneh and only used “nonlethal” crowd-dispersal weapons at the protest where he was hit. It released a video of what it says was Amarneh standing behind a group of stone throwers.
Amarneh was transferred to Israel’s Hadassah Medical Center, which described his eye injury as “serious.”


As part of our partnership with the CBMM at MIT, we publish and
manage a course which is a survey of the field of artificial
intelligence. The course is tailored towards new ideas relating
to the science of intelligence.
is an ACM SIG at UCF. We
focus on cultivating a community of budding researchers and
engineers empassioned to study intelligence. We host lectures
and workshops on a multitude of topics in AI.


Creates a staggered animation for the elements of a list. - Set the `opacity` to `0` and `transform` to `translateX(100%)` to make list elements transparent and move them all the way to the right. - Specify the appropriate `transition` properties for list elements, except `transition-delay` which is specified relative to the `--i` custom property. - Use inline styles to specify a value for `--i` for each list element, which will in turn be used for `transition-delay` to create the stagger effect. - Use the `:checked` pseudo-class selector for the checkbox to appropriately style list elements, setting `opacity` to `1` and `transform` to `translateX(0)` to make them appear and slide into view.


Codes and Representation¶
- We want to set unambiguous codes for the “things” use to build databases and systems. This section is about the values which might appear inside our data structures and variables. It’s general if the codes and values can be used in
- columns in Excel
- parameters to URL requests
- parts of filenames.
For this reason we avoid special characters (avoiding ‘?’, ‘/’, ‘<’, ‘>’’ and ‘&’). It is also useful if they are not case-sensitive. There are workarounds for all of these things, but let’s just avoid as many as we can.
Gender Codes¶
Let’s warm up with something simple:
M = Male
F = Female
If the 1976 Olympic Decathlon champion decides to make a comeback, we can discuss complicating things then.
Thus, if exchanging athlete data, we might have a JSON document like this:
{"firstName": "Fred", "lastName": "Bloggs", "gender": "M"}
...and in a spreadsheet, we would have a column with “M” or “F”
Country codes¶
Three-letter ISO codes are preferred:
GBR, FRA, ESP, DEU
Great Britain has some “history” here - competition records going back 100+ years - to make life more complex, so we allow for some “pseudo-countries”:
ENG, SCO, WAL, NIR
Similarly we might introduce It may also be valuable to have placeholder for international entities:
INT, EUR
Note that the codes used by the IOC, European Athletics, WMA and EMA often have slight historical differences. <insert wikipedia reference>. For example, in sports, Germany is often GER rather than DEU. We can provide code to do the mappings, but we should stick to the ISO
Dates¶
We aim to be guided by ISO 8601
Databases and programming languages have rich ways to store dates, date-times and times, complete with time zone information. In athletics this can be troublesome, unless you are very careful. For example, you set up your county championships timetable in some detail in March, then the clocks change, and you find the computer assumed GMT when you entered in, and everyone shows up an hour off; or that you are advertising the wrong start time for an early-autumn cross country race. (Yes, this has happened!)
There are also many, many ways for beginning programmers to shoot themselves in the foot when working with dates in Javascript. For example, if you use a Date object to store the (midnight) closing date of a competition, it will do so down to the millisecond, and adapt to the browser’s time zone, resulting in people seeing the wrong day.
For these reasons, we prefer to store dates and event times as text:
"2015-10-17" - use for dates, the ISO standard. (Excel will differ)
"14:35" - use for the start time of an event, for historic or programme purposes
When describing programmes or sets of results, we also recommend separating the dates and times.
Full timestamps should be reserved for when they are needed, such as recording the time the gun actually went off (which you might want to use as an index into a video recording)
Dates in Excel and user interfaces
Pasting or importing of dates and times from Excel is risky. Spreadsheets understand dates, but if you go via a clipboard or to CSV/text, there is the risk of muddling days and months. Within a spreadsheet, dates should be proper dates.
User input is however best done in the format that users are familiar with, even though the date is stored internally in a proper, unambiguous format. Thus UK users would prefer 25/12/2014. This could be made configurable by taking the date format from their international settings. System output is also prescribed sometimes e.g. consistency with external sources. In this case the date format should be configurable according to the purpose of the output.
Performances, time and distance¶
In results, we need to record the time or distance. This is different from recording the start time of an event.
Times should be passed in a decimalized text format and interpreted as a number of seconds, so we know the precision that was given. If one colon is present, it denotes minutes and seconds; two colons are hours/minutes/seconds. Ultra runners going beyond 24 hours will have to count in hours, to keep life simple for the rest of us! Examples:
9.58
58.5
63.5
1:03.5 - equivalent to 63.5, first digit assumed to be minutes
2:03 - assumed to be an 800m time of 2 minutes, and not a Marathon, because only one colon
2:02:57 - the marathon world record, two colons so contains hours
73:15 - a half marathon time, equivalent to 1:03:15
Distances for jumps and throws can be stored as decimal numbers.
There are some standard suffixes which are commonly used in results and rankings: 10.3i to denote indoors, 10.3w to suggest wind-assisted. We see this as a presentation layer problem; a good database or rankings system would decompose this to have an ‘indoor’ or ‘wind-assisted’ flag.
Event Codes¶
If we are exporting the data from an online entry system, or the results of a meeting, we want to use common codes, so that the 400m is always represented the same way.
There are only two hard problems in computer science - cache invalidation and naming things- Phil Karlton
Never mind the first one - it’s really hard to pick names. Especially, it’s hard to pin down the word “Event”. BY popular consensus we are calling these things “event codes”.
If you are looking at a programme, the “U13 Girls High Jump first round, Sat 10:35” is more of an “event”, in the sense of “something that happens at a point in time”. We might call the latter ‘CompEvent’ or ‘ProgEvent’ (to be discussed)
Our “first stab” is based on the codes from Power of Ten, which appear in the URL search parameters. However, we have introduced some slight changes. In particular, we don’t want the interpretation to depend on the case of a letter. So ‘m’ meaning both Metre and Mile is dangerous:
HJ, PV, LJ, TJ, SP, DT, HT, JT, WT - field events
60, 100, 200, 400, 800, 1500, 3000, 5000, 10000 - track (and other distances for junior races)
- Any raw number is assumed to be a number in metres
60H, 80H, 100H, 110H, 200H, 300H, 400H - number + 'H' denotes hurdles
2000SC, 3000SC - steeplechase
DEC, HEP, HEPI, PEN, PENWT - multi-events. Case variations acceptable.
20KW, 50KW - walks
4x100, 4x400 - track relays.
For field events, there is usually a default weight for a given age group and gender, but we can indicate a specific weight of implement as follows. (We followed Power of Ten, who use these for filter parameters in URLs):
SP7.26k, SP6K, SP5K, SP4K, SP3K
DT2K, DT1.75K, DT1.5K, DT1K
JT800, JT700, JT600, JT500, JT400
HT7.26K, HT6k, HT5k, HT4k, HT3k
WT15.88K, WT11.34K, WT9.08K, WT7.26K, WT5.45K
Hurdles have adjustable heights, defined originally in 3 inch increments (but usually described in millimetres). Usually, this does not need to be given, because it’s a standard. However, for some Masters and younger competitions, hurdles may be lowered. If it is necesssary to disambuguate, we can use two digits for “feet and inches”. This gives much simpler numbers than the metric equivalents. For example:
110H36 - 3'6" or 1.067 - normal men's hurdle height
110H33 - 3'3" or 0.991 - used for some masters' competitions.
Discuss - do we use inches, which are simple, or cm/mm because the world is metric?
Some events, such as the Finnish Wife-Carrying championships, are harder to standardise so will be left for a future version.
The mile is special and of historic importance. So, in a programme or set of entries, we suggest to allow:
MILE - as it says.
Moving onto road and cross country, we’d like to suggest an open-ended standard: a combination of a rough distance measure and a suffix which shows the units:
2K, 5k, 10K, 4.5K - distance in kilometers
5M, 10M, 2.2M - distance in miles (NOT metres!)
MAR - marathon
HM - half marathon
5MXC - any of the above plus "XC" denotes cross country.
It is not necessary to add an XC suffix; this depends on the context.
As an example, we’re taking entries now for a school fundraiser with three races. We call them “2K”, “5K” and “10K” in the database, and will use those codes as field IDs in the web form, or in a spreadsheet summarising the entries. We don’t need to add “XC”, because they all are. They can have more expansive display names like “2K jog-with-the-dog” if desired.
The advantage of this is that one can compute a very rough speed and thus check if the input given is realistic. For example, if you are taking online entries and your code for the Masters XC race is just “XC”, you have no way to know if a predicted or actual time of “30.15” is realistic. But if you know you are talkin about a 5 mile race, it’s pretty clear that 30:15 was intended, and you can either reject or “fix” the input depending on your philosophy.
The IAAF web site uses ‘slugs’ - URL components - such as ‘one-mile’ and ‘high-jump’. These are certainly useful and could be added to a standard.
The short codes will be OK for results but not for instance in competition programmes. There it might be better to have standard short descriptions e.g. Shot Put, 100m Hurdles
Ordering of events¶
There is a “natural order” which people expect to see on entry forms, in dropdowns and in statistics. For a track meeting, it is as follows:
- Track events, increasing distance
- Hurdles, increasing distance
- Steeplechases
- Field events: HJ PV LJ TJ SP DT HT JT
- Relays, increasing distance
athlib provides sorting functions in Python and Javascript to implement this.
Age Group codes¶
When dealing with entries and results, it’s common to have a column showing the age groups.
The IAAF has a very simple scheme. The age group is based on one’s age at New Year, with the following groups:
U14, U16, U18, U20, U23, SEN
UKA has well defined age group codes: U13, U15, U17, U20, U23 (rarely used), SEN. The definition depends on the discipline (Road, XC, Track and Field), the date of birth of the athlete and the start date of the competition. Again we provide code to work this out.
It is very common in results and entries to conflate the age and gender. Eveen more annoyingly for programmers, in the UK we tend to add an age-dependent suffix - ‘B’ for Boys, ‘G’ for girls, ‘M’ for Men and ‘W’ for women. Thus, a county or national programme would list U13B, U15B, U17M, U20M.
Masters go in 5 year bands: V35, V40, V45 etc. This is a global standard set by WMA. It is commonly conflated with gender e.g. M45, W50.
Schools are commonly referred to be year in the UK, so we suggest YEAR1...YEAR11. (Would YEAR01, YEAR02...YEAR11 be better so they always sort in order?)
Different countries are expected to have different age group coding systems and cutoff rules. Therefore, a well designed library would have ‘namespaced’ packages for countries or organising bodies with equivalent, swappable functions:
from athlib.uka import age_group
from athlib.wma import age_group


Preparation time
overnight
Cooking time
1 to 2 hours
Serves
Serves 4
You can’t beat the tingle from Sichuan peppercorns, used here in a marinade for pork with Chinese five-spice powder. Delicious with egg-fried rice.
For the five-spice belly pork, crush the peppercorns and star anise in a pestle and mortar or a spice grinder, then tip them into a large plastic food bag. You need something that's big enough to hold the pork and has a top you can seal, such as a zip and seal plastic bag.
Add the remaining ingredients, including the pork, to the bag, then massage the mixture into the meat through the bag. Seal the top of the bag and leave the pork to marinate for 24 hours or longer in the fridge. The longer the meat is marinated the more flavour there will be.
When you’re ready to cook the pork, preheat the oven to 160C/325F/Gas 3. Place the pork in a roasting tin – it should fit tightly – with the marinade and roast the pork for 1½-1¾ hours, or until tender and crisp.
Dice 100g/3½oz of the cooked belly pork into 1cm/½in cubes and put to one side. Any remaining five-spice pork can be eaten at your own leisure.
For the egg-fried rice, cook the rice according to the directions on the packet and leave to cool.
Whisk the eggs with the sesame oil and a good pinch of salt. Heat a non-stick frying pan or a wok with a drizzle of groundnut oil. When the oil is fairly hot, pour in the egg mixture. Do not stir and let the egg cook gently for a minute, or until the bottom starts to set. Then, using a rubber spatula, gently push one side of the egg mixture into the centre of the wok and tilt the wok to allow the still liquid egg to flow underneath and cook.
Slide the cooked omelette onto a plate and roll it up into a cigar shape. Cut it into 1cm/½in slices, then cover with foil and set it aside to keep warm while you prepare the rice.
Heat two tablespoons of groundnut oil in the pan. Drain the dried shrimp and add them to the pan with the diced belly pork and garlic, then heat through for about 45 seconds.
Grind the Sichuan peppercorns in a pestle and mortar and add them to the pan along with the Chinese five-spice powder. Add the rice and stir-fry for 4–5 minutes, tossing everything together frequently to blend all the flavours.
Add the peeled prawns and spring onions. Check the seasoning, adding some freshly ground white pepper and soy sauce, to taste. Carefully fold in the strips of omelette and serve at once.


What are the eligible courses for me ?
Which are the courses to my Z-score ?
Which are the courses suitable for me ?


Named entity recognition (NER) is the task of identifying and categorizing key information (entities) in a text. An entity can be any word or series of words that consistently refers to the same thing. Every detected entity is classified into a predetermined category.
Your RESULT is ready! CLICK HERE to try with another text.


SUCCESS
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We are a fast and reliable company that you can trust. Our services are open to you 24/7.
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Hangman v0.9.6 Hangman.Pass.Reduction
Module provides pass reduction interface for reduction engine workers.
Simply supports fetching word lists, storing of word lists and providing the metadata receipt
Summary
Functions
Specs
store(Hangman.Pass.key, Hangman.Words.t, Enumerable.t) :: Hangman.Pass.t
Stores word list data and returns a pass receipt
Filters set of words with regex, tallies reduced word stream, creates new Chunk abstraction and stores it back into words pass table.
If pass size happens to be small enough, will also return remaining hangman possible words left to aid in guess selection.
Returns pass metadata.
Specs
words(Hangman.Pass.key) :: Hangman.Words.t
Fetch word lists data given pass key


JMSS was chosen as the first Australian ambassador school for Plastic Oceans Australasia in 2018 to be part of their education program. It started with a small group of enthusiastic students who wanted to make a difference and with the help and leadership of Steph, began their work on making John Monash Science School a more sustainable and conscious community.
So what are our goals exactly? Well, our original mission was to phase out plastics at our school, however, as time went on, the JMSS Plastic Oceans team has become so much more than that. We now work with the school community to tackle systemic issues with single-use plastics, we hold events and programs to raise awareness of the serious environmental threats facing our planet as well as join forces with other schools and organisations. And while the change that we may only be fighting for local change, it’s the small contributions that make up the big picture.
Starting out with only a few people in 2018, our community has now expanded to include over 60 members from all different year levels. Being a student-run organisation, we have 3 sub-teams: Media and PR who are in charge of spreading our message whether its around the school or on social media, Events and Fundraising who work to organise various events around the school to better inform and engage the school community in the fight against plastic pollution and Internal Affairs who are in charge of identifying and tackling systematic consumption of single-use plastics in the community. Each group is led by passionate student leaders who are the driving force behind this organisation.
While this year has been very challenging for everybody, we have worked together to find creative ways to overcome these obstacles. For example, we held a school-wide Kahoot during online assembly to inform students of recycling practices in our state as well as facts about plastic pollution. We’ve also increased our social media presence to ensure we spread the message to the wider community. Which I guess brings us to this webinar that will hopefully help others better understand Plastic Oceans is all about.


AP Top Science News at 7:16 a.m. EST
by EndPlaySpacewalking astronauts cutting into cosmic ray detector
Bacteria-infected mosquitoes take bite out of deadly dengue
Vape debate: Are e-cigarettes wiping out teen smoking?
Study: Yellowstone bison mow, fertilize their own grass
Boeing names space test dummy Rosie after WWII riveter
US-born Bei Bei settles into new home at Chinese panda base
2 insect species classified as threatened as glaciers melt
Gore kicking off 24 hours of climate talks around the world
Possible meteor outburst this week worth a look up
Spain has permits to build giant telescope blocked in Hawaii


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MQTTCommandType
NS_ENUM(UInt8, MQTTCommandType) {
MQTT_None = 0,
MQTTConnect = 1,
MQTTConnack = 2,
MQTTPublish = 3,
MQTTPuback = 4,
MQTTPubrec = 5,
MQTTPubrel = 6,
MQTTPubcomp = 7,
MQTTSubscribe = 8,
MQTTSuback = 9,
MQTTUnsubscribe = 10,
MQTTUnsuback = 11,
MQTTPingreq = 12,
MQTTPingresp = 13,
MQTTDisconnect = 14,
MQTTAuth = 15
}
Undocumented
-
Undocumented
Declaration
Objective-C
MQTT_None = 0
Swift
case _None = 0
-
Undocumented
Declaration
Objective-C
MQTTConnect = 1
Swift
case connect = 1
-
Undocumented
Declaration
Objective-C
MQTTConnack = 2
Swift
case connack = 2
-
Undocumented
Declaration
Objective-C
MQTTPublish = 3
Swift
case publish = 3
-
Undocumented
Declaration
Objective-C
MQTTPuback = 4
Swift
case puback = 4
-
Undocumented
Declaration
Objective-C
MQTTPubrec = 5
Swift
case pubrec = 5
-
Undocumented
Declaration
Objective-C
MQTTPubrel = 6
Swift
case pubrel = 6
-
Undocumented
Declaration
Objective-C
MQTTPubcomp = 7
Swift
case pubcomp = 7
-
Undocumented
Declaration
Objective-C
MQTTSubscribe = 8
Swift
case subscribe = 8
-
Undocumented
Declaration
Objective-C
MQTTSuback = 9
Swift
case suback = 9
-
Undocumented
Declaration
Objective-C
MQTTUnsubscribe = 10
Swift
case unsubscribe = 10
-
Undocumented
Declaration
Objective-C
MQTTUnsuback = 11
Swift
case unsuback = 11
-
Undocumented
Declaration
Objective-C
MQTTPingreq = 12
Swift
case pingreq = 12
-
Undocumented
Declaration
Objective-C
MQTTPingresp = 13
Swift
case pingresp = 13
-
Undocumented
Declaration
Objective-C
MQTTDisconnect = 14
Swift
case disconnect = 14
-
Undocumented
Declaration
Objective-C
MQTTAuth = 15
Swift
case auth = 15


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Have you ever wondered how the internet really works? Good question! The Internet's growth has become explosive and it seems impossible to escape the bombardment of www.com's seen constantly on television, heard on radio, and seen in magazines. Because the Internet has become such a large part of our lives, a good understanding is needed to use this new tool most effectively. Let’s have a look at some of the main components that makes the internet work the way it does!
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--- layout: page title: "About Us" description: "About Us" header-img: "img/post-bg-rwd.jpg" ---
Functionality
1. Automatic pulling/pushing of sales orders to third-party ERP/WMS/CRM/BI systems.
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Helps sellers improve listing information, inventories, orders and other operational capabilities through programmatic means. Provides brands with decision support through data analytics.
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SellerMatrix is the perfect tool for you if you:
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---
layout: post
title: Storyboards, construction of the Batalha Monastery
date: '2013-10-02T17:31:27+02:00'
categories:
- Storyboards
picture_url: https://film-Storyboards.tumblr.com/post/62937193700/Storyboards-depicting-the-construction-of-the
---
Storyboard depicting the construction of the Batalha Monastery, built to celebrate the Portuguese victory at Aljubarrota. Content designer:Johan Schelfhout from Maverick ICS Production: Grid VFX Client: Centro de Interpretação da Primeira Posição Portuguesa


The Flintstones in Viva Rock Vegas 1/2 Star (Out of 4) Reviewed by Mac VerStandig<EMAIL_ADDRESS>http://www.moviereviews.org April, 2000
---A copy of this review can be found at http://www.moviereviews.org/flintstones_in_viva_rock_vegas,_the.htm ---
Alan Reed and Mel Blanc are probably rolling over in their graves. Joseph Barbera and William Hanna might just go into shock. It's not that the latest Flintstones movie, Viva Rock Vegas, which `posthumously' credits the latter two as executive producers, is a live action interpretation of their classic animated television series that will cause such reactions. Rather, it is that the movie seems to lack all the non-material traits that made the 1960' s series an integral part of American culture.
A prequel to both the 1994 film and the television series, this installment of Bedrock's favorite two families actually pre-dates their being families. Fred (Mark Addy) and Barney (Stephen Baldwin) are two young bachelors with nothing but their lives ahead of them. Barney is optimistic, exclaiming `we get to spend the rest of our lives working in a rock quarry who says dreams don't come true?' Fred, on the other hand, desperately seeks a companion and realizes that this will require action, pointing out `it's not like something is just going to drop out of the sky, land right in front of you and change your whole life.' Being that the movie seems to have no original humor, you can guess what happens as soon as Fred finishes the aforementioned statement.
Enter Gazoo (Alan Cumming), the pint-sized alien who is temporarily expelled from his own planet and banished to earth where he is to study human mating rituals.  It is also most ironic that such a subplot is used in a film co-starring Kristen Johnston (Wilma), an actress who has earned notice for her role in television's `3rd Rock from the Sun' a show with an all-too-similar plot.
Opposite Fred and Barney are Wilma and Betty (Jane Krakowski), who are actually opposites themselves. Wilma is the classic poor-little-rich girl as she struggles with pressure to marry Chip Rockefeller (Thomas Gibson); she is a citizen of the upperclass even though her heart is in the unruly valley of Bedrock, which her mansion overlooks. Borrowing a chapter from another abysmal movie, Titanic, it turns out that Rockefeller is even sleazier than Wilma thinks with his sole purpose of luring her being that he needs her fortune to escape some mob debts. For the mean time, he has Rocko (Danny Woodburn) and Rocko (Tony Longo), his two `favorite made men' on his pre-historic tail. And, should he not wed Wilma by a quickly-approaching deadline, he will `be sleeping with the tunasaurus.'
Betty, on the other hand, is a single waitress with an average apartment and constant smile on her face.  Barney tags along to make it a double date at the carnival and by night's end the couples have swapped, Dino is born and Gazoo is viciously assaulted on a Ferris wheel.
The similarities between Fred and the Coen Brothers' Dude Lebowski, from The Big Lebowski, are a few too many to go unnoticed and far too many to be what Hanna and Barbera had in mind. Yes, they did create Fred's famous two-toe bowling technique but surely they didn't mean for him to be the portly bum he is here. Additionally, Wilma is far larger than she should be, Barney decidedly more pathetic (how appropriate for one of the Baldwins if only that old SNL skit would come true!) and Betty too promiscuous. Perhaps this could be ignored, although it would certainly be difficult, if the film had the guts to take off its training wheels and ride on its own rather than take the time to pay homage to the original Flintstones couple in a mid-film montage that only serves to remind of more pleasurable entertainment.
Just making matters worse, watching the scenes where the film does venture astray from traditional Bedrock is like taking The Great Movie Ride over and over for 90 minutes. Everything from significant plot lines to quick jokes are stolen from movies ranging from Arsenic and Old Lace and some Three Stooges pictures to the more recent Honeymoon in Vegas and Aladdin.
Yet, despite all the negative aspects of Viva Rock Vegas, I did discover a tear streaming down my face right before the credits rolled. I wondered how this could be and then it struck me my contact lens had slipped.
The review above was posted to the
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Runs consensus clustering across subsamples, algorithms, and number of clusters (k).
dice( data, nk, reps = 10, algorithms = NULL, k.method = NULL, nmf.method = c("brunet", "lee"), hc.method = "average", distance = "euclidean", cons.funs = c("kmodes", "majority", "CSPA", "LCE", "LCA"), sim.mat = c("cts", "srs", "asrs"), prep.data = c("none", "full", "sampled"), min.var = 1, seed = 1, trim = FALSE, reweigh = FALSE, n = 5, evaluate = TRUE, plot = FALSE, ref.cl = NULL, progress = TRUE )
| data | data matrix with rows as samples and columns as variables |
|---|---|
| nk | number of clusters (k) requested; can specify a single integer or a range of integers to compute multiple k |
| reps | number of subsamples |
| algorithms | vector of clustering algorithms for performing consensus clustering. Must be any number of the following: "nmf", "hc", "diana", "km", "pam", "ap", "sc", "gmm", "block", "som", "cmeans", "hdbscan". A custom clustering algorithm can be used. |
| k.method | determines the method to choose k when no reference class is
given. When |
| nmf.method | specify NMF-based algorithms to run. By default the
"brunet" and "lee" algorithms are called. See |
| hc.method | agglomeration method for hierarchical clustering. The
the "average" method is used by default. See |
| distance | a vector of distance functions. Defaults to "euclidean".
Other options are given in |
| cons.funs | consensus functions to use. Current options are "kmodes" (k-modes), "majority" (majority voting), "CSPA" (Cluster-based Similarity Partitioning Algorithm), "LCE" (linkage clustering ensemble), "LCA" (latent class analysis) |
| sim.mat | similarity matrix; choices are "cts", "srs", "asrs". |
| prep.data | Prepare the data on the "full" dataset, the "sampled" dataset, or "none" (default). |
| min.var | minimum variability measure threshold used to filter the
feature space for only highly variable features. Only features with a
minimum variability measure across all samples greater than |
| seed | random seed for knn imputation reproducibility |
| trim | logical; if |
| reweigh | logical; if |
| n | an integer specifying the top |
| evaluate | logical; if |
| plot | logical; if |
| ref.cl | reference class |
| progress | logical; should a progress bar be displayed? |
A list with the following elements
raw clustering ensemble object
clustering ensemble object with knn imputation used on E
flattened ensemble object with remaining missing entries imputed by majority voting
final clustering assignment from the diverse clustering ensemble method
if evaluate = TRUE
, shows cluster evaluation indices;
otherwise NULL
There are three ways to handle the input data before clustering via argument
prep.data
. The default is to use the raw data as-is ("none"). Or, we can
enact prepare_data()
on the full dataset ("full"), or the bootstrap sampled
datasets ("sampled").
Aline Talhouk, Derek Chiu
#> Warning: package 'dplyr' was built under R version 4.0.4#> #>#>#> #>#>#> #>#>#> #>#>#> #>#>#> #>data(hgsc) dat <- hgsc[1:100, 1:50] ref.cl <- strsplit(rownames(dat), "_") %>% purrr::map_chr(2) %>% factor() %>% as.integer() dice.obj <- dice(dat, nk = 4, reps = 5, algorithms = "hc", cons.funs = "kmodes", ref.cl = ref.cl, progress = FALSE) str(dice.obj, max.level = 2)#> List of 5 #> $ E : int [1:100, 1:5, 1, 1] 1 1 NA NA NA 1 1 NA 1 NA ... #> ..- attr(*, "dimnames")=List of 4 #> $ Eknn : int [1:100, 1:5, 1, 1] 1 1 1 1 1 1 1 1 1 3 ... #> ..- attr(*, "dimnames")=List of 4 #> $ Ecomp : num [1:100, 1:5, 1] 1 1 1 1 1 1 1 1 1 3 ... #> ..- attr(*, "dimnames")=List of 3 #> $ clusters: int [1:100, 1:2] 4 3 1 3 3 4 1 3 2 4 ... #> ..- attr(*, "dimnames")=List of 2 #> $ indices :List of 5 #> ..$ k : int 4 #> ..$ pac :'data.frame': 1 obs. of 2 variables: #> ..$ ii :List of 1 #> ..$ ei :List of 1 #> ..$ trim:List of 5


ZAP handles multiple types of authentication (called Authentication Methods) that can be used for websites / webapps. Each Context has an Authentication Method defined which dictates how authentication is handled. The authentication is used to create Web Sessions that correspond to authenticated webapp Users.
Authentication methods can be used in multiple places around ZAP. Some of the examples include:
Multiple authentication methods have been implemented and the system supports easy addition of new methods, according to user needs. They main ones are described below.
This method allows users to perform the authentication manually (e.g. authenticate in the browser while proxy-ing through ZAP) and then select the corresponding HTTP session. As the actual authentication is being performed by you, this method does not support re-authentication in case the webapp logs a user out. However if you do define an Authentication Verification Strategy then ZAP will maintain the authentication statistics.
When using this authentication method, configuring a User for the context require choosing an authenticated HTTP session.
This method is used for websites / webapps where authentication is done by submitting a form or performing a GET request to a 'login url' using a 'username/password' pair of authentication credentials. Re-authentication is possible. Configuration can be done using the Session Contexts Authentication screen or using the contextual PopupMenu: Flag as... Form-Based Authentication Login Request.
When using this authentication method, configuring a User for the context requires setting up the username/password pair of credentials that are used for the form based authentication.
If the application requires submitting the anti-CSRF token presented in the login page, ZAP will handle it automatically. Make sure the token name is configured in Options Anti CSRF screen.
This method is used for websites / webapps where authentication is done by submitting a JSON object to a 'login url' using a 'username/password' pair of authentication credentials. Re-authentication is possible. Configuration can be done using the Session Contexts Authentication screen or using the contextual PopupMenu: Flag as... JSON-Based Authentication Login Request.
When using this authentication method, configuring a User for the context requires setting up the username/password pair of credentials that are used for the authentication.
This method is used for websites / webapps where authentication is enforced using the HTTP or NTLM Authentication mechanisms employing HTTP message headers. Three authentication schemes are supported: Basic, Digest and NTLM. Re-authentication is possible, as the authentication headers are sent with every authenticated request. Configuration can be done using the Session Contexts Authentication screen.
When using this authentication method, configuring a User for the context requires setting up the username/password pair of credentials that are used for the HTTP/NTLM authentication.
This method is useful for websites / webapps where the authentication is a more complex one and some custom scripts that handle the authentication process are beneficial. To use this method, you must first define an Authentication script which sends messages or performs other actions as needed by your web-application. This script is then selected for use for a given Context and it is called whenever an authentication is performed. Re-authentication is possible. Configuration can be done using the Session Contexts Authentication screen.
When using this authentication method, configuring a User for the context requires setting up the a set of parameters defined in the script. For more details, see the provided Authentication Script examples.
| Session Contexts Authentication screen |
| Authentication | overview | |
| Youtube tutorial | of the Authentication, Session Management and Users Management features of ZAP [external link to https://youtu.be/cR4gw-cPZOA]. | |
| UI Overview | for an overview of the user interface | |
| Features | provided by ZAP | |
| Session Contexts Dialog | for an overview of the Session Properties | |
| Users | for an overview of Users | |
| Anti-CSRF tokens | for an overview of anti-CSRF tokens |


Let’s start with a few observations about linear models. The usual discussion posits a target variable y
of length N and design matrix X
with p columns (of full rank, say) and N rows. The most common case – unless you are a geneticist – is that X
is ‘long’, i.e. we have N >> p. The linear model equation, could be written
and the least squares solution is obtained by projecting y
orthogonally onto the image of X
and identifying the corresponding set of parameters
We can test this in a little simulation
p = 1000
N = 10^5
beta = runif(p, -20, 20)
X <- matrix(rnorm(p*N), ncol = p)
y <- X %*% beta + rnorm(N, sd = 5)
system.time(XtX <- crossprod(X))[3]
## elapsed
## 62.252
system.time(Xty <- drop(crossprod(X,y)))[3]
## elapsed
## 0.315
system.time(beta_est <- solve(XtX, Xty))[3]
## elapsed
## 0.352
Classical treatments of the least squares solution focus on decomposing X
in a suitable manner to address both, the crossproduct and the inversion. This obscures a little bit the fact that these are two distinct data steps:
p = 1000
coefficients, the inversion only takes a few secondsX
!Our example case (large X
with N >> p) is ideal for chunking and parallelising. Chunking is made easy by packages like bigglm
and speedglm
that provide the infrastructure for handling chunked data. Also note that the crossproducts are ‘embarrassingly parallel’, i.e. can be calculated via an appropriate ‘lapply’-ification:
library(parallel)
X_chunked <- lapply(split(X, (1:N)%%9) , matrix, ncol = p)
system.time(XtX_chunked <- mclapply(X_chunked, crossprod, mc.cores = 3))[3]
## elapsed
## 31.413
XtX2 <- 0; for(xtx in XtX_chunked) XtX2 <- XtX2 + xtx
sum(abs(XtX- XtX2)) ## ~ 0
## [1] 3.239706e-06
So, chunking and parallelising helps.
To improve things further, one needs to look more closely at the structure of X
. One well-known approach is in the MatrixModels
-package, which allows to make use of sparsity in X
, for instance, when X
contains many dummy variables.
X
– Star schemaThe situation for which I have not immediately found an adequate package, and which I want to discuss in a bit more detail here, is when X
is constructed from some kind of database ‘star schema’. As an example, we can take the fuel price data discussed [here].
We start with loading the required packages and by defining a small bechmarking function, which will not only measure execution times, but also give a rough idea on memory usage:
## (C) 2017 by Boris Vaillant, Quantitative Consulting
## License is granted to to use this code under the MIT License
## Clear all -- only if you have saved your other projects
rm(list=ls(all=TRUE))
library(tidyverse)
library(stringr)
library(splines)
library(Matrix)
library(MatrixModels)
## a simple benchmarker
mstest <- function(expr=NULL) {
mem <- gc(reset = TRUE)[2, c(2,6)]
st <- proc.time()
expr
mem2 <- gc(reset = FALSE)[2, c(2,6)] - mem
names(mem2) <- c("A_Mem final", "A_Mem max")
c(A_Time =structure(proc.time()- st, class = "proc_time")[1:3], mem2)
}
Now load (and clean) the fuel price data (download it from GitHub [here]). It is a very simple star schema, with fuel prices per station and time as fact table:
pricesAll <- readRDS( "Prices_Demo.rds")%>%
filter(E10 > 700, E10 < 3500, TimeAggID > 26425,
## choose TimeAggID filter to fit to your machine
!is.na(CompE10))
pricesAll
## # A tibble: 4,859,838 x 4
## StationID TimeAggID E10 CompE10
## <int> <int> <int> <int>
## 1 1 26426 1269 1450
## 2 1 26427 1269 1450
## 3 1 26428 1269 1450
## 4 1 26429 1269 1450
## 5 1 26430 1269 1439
## 6 1 26431 1269 1400
## 7 1 26432 1269 1308
## 8 1 26433 1269 1295
## 9 1 26434 1269 1290
## 10 1 26435 1269 1281
## # ... with 4,859,828 more rows
as well as dimension tables for stations and times:
timesAll <- readRDS( "E_prtimes.rds")
timesAll
## # A tibble: 27,528 x 6
## TimeAggID DateHour DateDay HourCl DayCl Brent
## <int> <int> <int> <fctr> <fctr> <int>
## 1 1 14060800 140608 Hour00 Sun 501
## 2 2 14060801 140608 Hour01 Sun 501
## 3 3 14060802 140608 Hour02 Sun 501
## 4 4 14060803 140608 Hour03 Sun 501
## 5 5 14060804 140608 Hour04 Sun 501
## 6 6 14060805 140608 Hour05 Sun 501
## 7 7 14060806 140608 Hour06 Sun 501
## 8 8 14060807 140608 Hour07 Sun 501
## 9 9 14060808 140608 Hour08 Sun 501
## 10 10 14060809 140608 Hour09 Sun 501
## # ... with 27,518 more rows
stationsAll <- readRDS( "C_stationsAll_final.rds")
## add natural splines to stations
NS <- as_data_frame( model.matrix( ~ -1 + ns(lat, df = 3):ns(lng, df = 3),
data = stationsAll ))
names(NS) <- paste0("NS",str_replace_all(names(NS),
"\\:|ns\\(lat, df = \\d+\\)|ns\\(lng, df = \\d+\\)", ""))
stationsAll <- bind_cols(stationsAll, NS)
stationsAll
## # A tibble: 14,902 x 15
## StationID brandCl lng lat isBAB closeBAB NS11
## <int> <fctr> <dbl> <dbl> <int> <int> <dbl>
## 1 1 Others 10.850848 48.55568 0 0 0.39713860
## 2 2 BfT 10.920224 49.66159 0 0 0.43709986
## 3 3 Others 6.948950 51.16919 0 0 0.01966565
## 4 4 Others 11.451392 48.12189 0 1 0.37167161
## 5 5 Others 12.520820 48.24147 0 0 0.28931168
## 6 6 Others 7.586279 48.02442 0 0 0.06587314
## 7 7 Others 10.261920 47.52460 0 0 0.34155893
## 8 8 Others 9.424034 47.86324 0 0 0.27201896
## 9 9 Avia 9.825452 48.00048 0 0 0.31995881
## 10 10 Others 9.651461 47.82916 0 0 0.29700352
## # ... with 14,892 more rows, and 8 more variables: NS21 <dbl>, NS31 <dbl>,
## # NS12 <dbl>, NS22 <dbl>, NS32 <dbl>, NS13 <dbl>, NS23 <dbl>, NS33 <dbl>
X
Now, let’s say we want to estimate the influence of
etc. on the price of E10 fuel.
In the traditional approach, we join all the dimension information to the fact table, and run the model on the resulting large table:
fulldat <- pricesAll %>%
left_join(select(timesAll, -DateHour, -DateDay )) %>%
left_join(stationsAll)
object.size(fulldat)/10^6 ## 622MB
## 622.1 bytes
RESULT <- NULL
modfor <- as.formula(
paste0("E10 ~ 1 + CompE10 + Brent + isBAB + closeBAB + brandCl +",
"DayCl + HourCl +",
paste(names(NS), collapse = " + ")))
msLM <- mstest(modLM <- lm( modfor, data = fulldat))
RESULT[["trad. LM"]] <- c(msLM, modLM$coefficients)
msLM
## A_Time.user.self A_Time.sys.self A_Time.elapsed A_Mem final
## 41.616 0.551 42.236 2870.500
## A_Mem max
## 5058.200
## used (Mb) gc trigger (Mb) max used (Mb)
## Ncells 1506557 80.5 7974897 426.0 1506557 80.5
## Vcells 13599970 103.8 699091880 5333.7 13599970 103.8
So, how to make this smaller and faster?
The main observation we can make is that the parts of the design matrix, that come from the joined dimension matrices, have a very simple form. For example, when looking at the Brent price(which depends on time only)
matBrent = model.Matrix(~ -1 + Brent, data = timesAll )
is the design matrix on the table timesAll
and
indBrent = as(list(pricesAll$TimeAggID, max(timesAll$TimeAggID)), "indMatrix")
is the (sparse version of) the ‘index matrix’, representing the join. This matrix has a 1 in position (ro, co)
exactly when TimeAggID[ro] == co
and zeros otherwise. It is now easy to check that the matrix product of indBrent
and matBrent
is the lifted / joined matrix on the fact table
all(indBrent %*% matBrent == timesAll$Brent[pricesAll$TimeAggID]) ## TRUE
This is a very useful representation, as
1. `matBrent` will be comparatively small,
2. crossproducts with the index matrix `indBrent` amount to a simple summing over groups.
Furthermore, index matrix algebra is already implemented in the Matrix
-package.
Let’s call these objects, ‘lifted matrices’. We can actually define them as a simple extension of the classes in Matrix
:
setClass("liftMatrix",
representation(mat = "Matrix",
indI = "indMatrix"))
The beauty of the ‘Matrix’-package (and the S4-system it is built on) is that we now only need to implement the algebra for this new class as a set of S4-methods, adding to (in one case for the moment: overriding) the existing method-definitions in Matrix
:
setMethod("crossprod", signature( x = "indMatrix", y = "missing"),
function(x) Diagonal(x = tabulate(x@perm, x@Dim[2])))
## [1] "crossprod"
setMethod("crossprod", signature( x = "indMatrix", y = "indMatrix" ),
function(x, y) {
l1 <- as(x, "lMatrix")
l2 <- as(y, "lMatrix")
crossprod(l1,l2)
})
## [1] "crossprod"
setMethod("crossprod", signature( x = "liftMatrix", y = "missing"),
function(x) crossprod(x@mat, crossprod(crossprod(x@indI) , x@mat)))
## [1] "crossprod"
setMethod("crossprod", signature( x = "liftMatrix", y = "liftMatrix" ),
function(x, y) crossprod(x@mat, crossprod(crossprod(y@indI, x@indI), y@mat)))
## [1] "crossprod"
setMethod("crossprod", signature( x = "liftMatrix", y = "Matrix" ),
function(x, y) {
crossprod(x@mat, crossprod(x@indI, y)) })
## [1] "crossprod"
setMethod("crossprod", signature( x = "Matrix", y = "liftMatrix" ),
function(x, y) {
crossprod(x, y@indI) %*% y@mat
})
## [1] "crossprod"
With these definitions, it is now easy to define the ‘lifted’ (or ‘pushdown’, depending on your point of view) version of our fuel price model above, by defining separately the components of the design which stem from the two dimension tables and (for the effect of CompE10
) from the fact table itself.
I go through the full calculation here for demonstration purposes. I hope to put this into a more user-friendly format, soon.
msLift <- mstest({
modforS <- as.formula(
paste0("~ 1 + isBAB + closeBAB + brandCl +",
paste(names(NS), collapse = " + ")))
XS <- new("liftMatrix",
mat = model.Matrix(modforS, data = stationsAll )*1.0,
indI = as(list(pricesAll$StationID, max(stationsAll$StationID)),
"indMatrix"))
modforT <- as.formula(paste0("~ 1 + Brent + DayCl + HourCl"))
XT <- new("liftMatrix",
mat = model.Matrix(modforT, data = timesAll )[,-1]*1.0,
indI = as(list(pricesAll$TimeAggID, max(timesAll$TimeAggID)),
"indMatrix"))
XC <- Matrix( pricesAll$CompE10, ncol = 1,
dimnames = list(NULL, "CompE10"))
Y <- Matrix(pricesAll$E10, ncol = 1)
XTXT <- crossprod(XT)
XSXS <- crossprod(XS)
XCXC <- crossprod(XC)
XTXS <- crossprod(XT, XS)
XTXC <- crossprod(XT, XC)
XSXC <- crossprod(XS, XC)
XSY <- crossprod(XS, Y)
XTY <- crossprod(XT, Y)
XCY <- crossprod(XC, Y)
XX <- rbind(cbind(XTXT, XTXS, XTXC),
cbind(t(XTXS), XSXS, XSXC),
cbind(t(XTXC), t(XSXC), XCXC))
XY <- rbind(XTY, XSY, XCY)
modLift <- drop(solve(XX, XY))
})
RESULT[["lifted LM"]] <- c(modLift, msLift)
for(nam in names(RESULT)) RESULT[[nam]]<-
data.frame( estimate = RESULT[[nam]]) %>%
rownames_to_column(var = "term") %>%
mutate(model = nam)
resultWide <- bind_rows(RESULT) %>% dplyr::select(model, term, estimate) %>%
spread(model, estimate)
head(resultWide, 10)
## term lifted LM trad. LM
## 1 A_Mem final 84.000000 2870.500000
## 2 A_Mem max 2103.000000 5058.200000
## 3 A_Time.elapsed 3.507000 42.236000
## 4 A_Time.sys.self 0.320000 0.551000
## 5 A_Time.user.self 3.174000 41.616000
## 6 brandClAral 23.329966 23.329966
## 7 brandClAvia -5.360235 -5.360235
## 8 brandClBfT -17.300784 -17.300784
## 9 brandClEsso -3.675214 -3.675214
## 10 brandClHEM -20.194030 -20.194030
Pretty impressive, huh?
Well, of course, I have massaged the example a bit. The model we have been looking at is a pretty extreme case. Almost all the explanatory variables are ‘lifts’ from one of the dimension tables. So the model is almost a product of two completely separate models. I actually had to sneak in the variable ‘CompE10’ (with all the problems, endogeneity, inconsistency, this variable brings, were we to really try to interpret this model) in order to make the example a truly non-product one.
Still, this approach is worthwile in many cases, and I will soon publish a more elaborate example, including how to deal with chunked and partitioned data, as well as fixed effects.


| Event Name | Event Description | Date | Time | Location |
|---|---|---|---|---|
| Final exam terms (CST) | CST students have final exams | December 10th - 14th, 2018 | Depends on the course | BCIT Recreational centre (Gym) |
| Beer Party | Drinking Beers and having fun | December 15, 2018 | 13:00 ~ 23:00 | SW05 #320 |
| Basketball tournament | Basektball players who signed up for the tournament will play as a team | January 20th, 2018 | 14:00 ~ 16:00 | BCIT Recreational centre |
| Coding for all meeting (CST) | People who are in CST will get helpful information for CST terms | January 22th, 2018 | 15:00 ~ 17:30 | SW05 #312 |
| Pets day |
People who love pets should come to see pets
to de-stress! |
January 23th, 2018 | 12:00 ~ 13:30 | SE02 Main hall |
| Triple O's Tuesday! | Come to Triple O's and buy burgers with half off the regular price! | January 29th, 2018 | All day until close | SE02 nearby Main Hall |


|
OSSIM-ISA
Version 0.1
|
Base class for Top-level classes exposed as JNI'd java classes. More...
#include <ServiceBase.h>
Public Member Functions | |
| ServiceBase () | |
| virtual | ~ServiceBase () |
| virtual void | execute ()=0 |
| Public Member Functions inherited from ISA::JsonInterface | |
| JsonInterface () | |
| virtual | ~JsonInterface () |
| virtual void | loadJSON (const Json::Value &jsonNode)=0 |
| virtual void | saveJSON (Json::Value &jsonNode) const =0 |
Base class for Top-level classes exposed as JNI'd java classes.
Definition at line 20 of file ServiceBase.h.
|
inline |
Definition at line 23 of file ServiceBase.h.
|
inlinevirtual |
Definition at line 25 of file ServiceBase.h.
|
pure virtual |


waiting player...
the player left the game
loading failed, please try again later.
waiting for a response form the player...


I love Lana I am very lucky to have Lana as my wife
I love Lana very much
Reasons I love her
Things I like to do with her
| Event | Year | Location |
|---|---|---|
| Meet | 2011 | Wheeling |
| Married | 2013 | Chicago |
| Moved to Florida | 2018 | Boca Raton |
What sould I give Lana?
Chick for Lana's website Go to Kaiden's page


Acknowledgements
This page exists to acknowledge everone who's helped out with FontForge. Many thanks! (Actually the list should be far longer than this, but as time goes on there are just too many people to thank.)
Sample Text
The sample text in File->Print
comes from many sources.
Debugging
The following people, among others, have helped debug fontforge. Thanks!
- Tom Harvey
- Ken Chilton
- Gerhard Killesreiter
- Alexander Kotelnikov
- University of California, Santa Barbara
(which has several times let me use some of their machines to do builds and find bugs if I didn't have the requisite system at home). - Uwe Koloska
- Max Neunhoeffer
- Martin Giese
- E.J. Neafsey
- Norvell Spearman
- Stefan Fendt
- Harald ?Gleis?
- Valek Filippov
- Pasi Eronen
- Luc Devroye
- Scott Pakin
- Robert Brady
- Dung Ta Quang
- Sivan Toledo
- Gerhard Schellhorn
- MinGyoon
- Olaf Rogalsky
- Baruch Even
- Volker Gering
- Torsten Bronger
- Jacob Jansen
- Ulrich Klauer
- Andrey V. Panov
- Edward G.J. Lee
- Werner LEMBERG
- KANOU Hiroki
- Pierre Hanser
- Claudio Beccari
- Yannis Haralambous
- Walter Echarri
- Wei-ju Wu
- Huw Davies of CodeWarriors who showed me how to generate a windows fon format.
- Wei-Lun Chao
- Sergey Malkin
- And many others!
TrueType and PostScript Autohinting
Michal Nowakowski in Poland and Alexej Kryukov of Moscow State University have taken over TrueType and PostScript autohinting and are doing a far better job than I could have.
Blocks of real type
Ben Weiner from Reading provided the banner image of blocks of real type. The type face is Imprint, created by Monotype (UK).
SourceForge
I owe David Turner (and everyone else) of FreeType a debt for providing an API which allows me to debug truetype instructions. Also he came up with the name "FontForge".
Inspiration
FontForge was inspired by AltSys's Fontographer now rescued from MacroMedia by FontLab. Godfrey DiGiorgi encouraged me to buy my first copy of Fontographer in the mid-80s.
My father inspired a general interest in typography (though he is interested in renaissance printing techniques rather than computers).
And finally I owe thanks to Linda Dozier, David Cole and everyone at NaviSoft which company has given me the free time to write this program.


ARTISANAL BREAD BAKERY CREATING
ORGANIC SOURDOUGH BREAD
& SERVING HAPPY GOAT COFFEE
A BIT ABOUT US
We are a small-batch artisanal bread bakery, creating organic sourdough breads, proudly situated in the heart of beautiful Hintonburg, Ottawa. We believe a bakery isn't quite complete without the smells and tastes of exceptional coffee, so we offer Hintonburg's own Happy Goat coffee at our cozy espresso bar.
We are serious about what we like - bread and coffee - and aim to give you the best loaf and brew that we can.
We strive to give customers the sensory experience of a bakery full of aromatic breads of many varieties, with beautiful esthetics, every day. Our menu is simple and that's how we like it. Our approach to bread is to respect the inherent properties and potential of the grains. Nature provides us with so many wonderful varieties of wheat and grains, so we try not to mess with it too much. Our slow and thoughtful techniques are meant to extract the complex and wonderful trapped flavour potential of the grains themselves. We are a back-to-basics kind of place. Straightforward, delicious, and consistent.
We do our best to support local suppliers because we love our home and we love the bounty that comes from it. We are dedicated to sustainable environmental practices, and creating a healthy and prosperous work environment within our own walls.


flow-test-utils
/
net.corda.testing.flow
/
FlowMockHelper
/
ourTransactionSignature
ourTransactionSignature
abstract
val
ourTransactionSignature
:
DigitalSignatureAndMeta


Flooding drowns St Mark’s priceless mosaics in sewage
VENICE, Nov 14 — Dirty water swirls around marble tombs inside the 12th century crypt of St Mark’s Basilica in Venice, which suffered untold damage when an unprecedented high tide swept through the city.
Pumps work overtime to clear the seawater from around the altar and under the pink and white stone arches, as the historic monument’s custodians look on in sadness and anger.
“We’re talking about millions of euros worth of damage,” said Carlo Alberto Tesserin, First Procurator of the Basilica, who is the president of a team responsible for managing the historic site.
“We said last year that the Basilica had aged 20 years in a high tide. It risks having aged much more than that in this one,” he told AFP.
The exceptionally intense “acqua alta,” or high water, peaked at 1.87 metres late Tuesday, forcing stranded tourists to wade through rapidly rising waters in the dark in search of safety as the flood alarm rang out.
Only once since records began in 1923 has the water crept even higher, reaching 1.94 metres in 1966.
As winds whipped the waves on the famous square, transformed into a lake, the waters surged into the Basilica with a force “never seen before, not even in the 1966 flood,” Tesserin said.
Sewage and drowned rats could be seen floating in the city’s pungent alleyways.
Warnings a year ago about potential damage from increasingly high tides “went unheeded,” he said.
Thousands of tourists flock to the Italo-Byzantine monument every day, gazing up at the shimmering gold ground mosaics that decorate its majestic domes or pausing in front of the venerated tomb of St Mark.
It is particularly at risk, sitting as it does in one of the lowest parts of the city.
“The damage we see now is nothing compared to that within the walls. The salt enters the marble, the bricks, everywhere,” Tesserin said.
‘Warnings ignored’
Italy’s culture minister Dario Franceschini said Tuesday the government would cough up an as-yet unspecified amount of funding to help preserve the site in the Unesco city.
“The experts gave us ample warning. They weren’t listened to,” the procurator said.
The city stands on wooden piles driven by their thousands into the mud, but rising sea levels and heavy cruise ship traffic have eaten away at the surrounding marshes and mudbanks.
That leaves the gradually sinking Serenissima more vulnerable to the whims of the Adriatic sea.
A massive infrastructure project called MOSE has been underway since 2003 to protect it, but has been plagued by cost overruns, corruption scandals and delays.
The plan involves 78 gates that can be raised to protect Venice’s lagoon during high tides — but a recent attempt to test part of the barrier caused worrying vibrations and engineers discovered parts had rusted.
Tesserin said climate change and the city’s subsidence problems meant “we need to act now”.
“We either need the MOSE to work — but we need to know immediately if it will — or we need another plan,” Tesserin said, as civil protection workers checked the crypt for structural damage.
“We’re thinking of a plan whereby we turn St Mark’s Basilica into an island that can be protected.
“It’s a religious, cultural and artistic symbol, and it’s unique,” he added.
As volunteers struggled to sweep waters off the Basilica’s mosaic floor, the procurator said he was “very worried”, as “every day there’s a risk of a big flood”.
“There’s another high tide tonight, and more forecast for the coming days,” Tesserin said.
“For Venice to survive we need to act now”. — AFP


The following languages are currently included in the scope of the Storybooks Brasil project:
Please note that some translations and recordings are not yet complete.
We are always looking for translators! If you speak one of the above languages and would like to help us translate or record stories, please contact us at globalafricanstorybook [at] gmail [dot] com


What 'scope' is, and how does it work in JavaScript?
There are two kinds of scope in JavaScript, global and local. Global scope refers to variables that are defined outside of a function and can be accessed and modified from anywhere. Whereas local variables are defined withtin a function and can only be accessed within the function.
It can analogised to a locked house. The variable inside the locked house (function) has a local scope and cannot be accesed from outside, however a variable outside the house (function) can be accessed from anywhere because it is not bound by the same restrictions as the variable with a local scope.


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4
An impressive pasta bake that will knock friends' and family's socks off.
To make the pasta, place the flour into a food-processor and pulse. Add the eggs one by one and keep pulsing for 2–3 minutes, until the mixture resembles fine breadcrumbs. Tip the dough onto a lightly floured surface and knead for 1 minute (it should be quite stiff and hard to knead). Wrap in kitchen film and leave to rest in the fridge for 20 minutes.
Meanwhile, make the Béchamel sauce. Heat the milk in a small saucepan and melt the butter in a separate pan over a medium heat. Add the flour to the melted butter and mix well. Cook for 2 minutes. Tip the hot milk into the flour stirring continuously. Season with salt, pepper and nutmeg. Leave to cool until ready to serve.
To make the asparagus sauce, place a frying pan over a medium heat and add the olive oil. Fry the asparagus and garlic for 2–3 minutes.
Heat the stock in a small pan. Melt the butter in a separate pan over a medium heat. Mix the flour into the butter and cook for 1-2 minutes. Stir in the hot stock and add the asparagus. Leave to cool.
Bring a large pan of salted water to the boil. Roll out the pasta into a large circle (about 40cm in diameter and as thin as you can make it). Carefully cook the pasta round for 1–2 minutes and then drain on a tea towel.
To assemble the nests, spread half the cooled Béchamel onto the pasta, top with the mozzarella, ham and 4 tablespoons Parmesan. Roll into a log shape and wrap in a tea towel. Refrigerate for at least 30 minutes.
Preheat the oven to 200C/180C Fan/Gas 6.
Pour half the asparagus sauce into a deep baking dish. Slice the pasta roll into 9 pieces and place into the dish. Spoon over the remaining asparagus sauce and all the Béchamel. Sprinkle with Parmesan and black pepper and bake for 20–30 minutes, or until browned on top. Sprinkle with a little Parmesan and serve.


Hey guys, Oktoberfest is starting soon! +5min
What is this Octoberfest? Never heard of... +5min
Let's meet at Theresienwiese! +5min


Welcome! This is a very simple demo of StarboundEd to show you that it works. Just follow the instructions below! Don't worry, no data will be uploaded! Everything that happens on this page stays on your computer. :)
Select assets/packed.pak
assets/packed.pak
Select your .world file
.world
After a few seconds your world should render below. Use the arrow keys to scroll around.
Select your Starbound directory
Choose a world, then click Load: Select directory first Load
Profit! After a few seconds your world should render below. Use the arrow keys to scroll around.


© 2006-2018 SIL Philippines
This keyboard enables the typing of all Philippine languages. It gives the ability to type all the special characters and diacritics in the languages of the Philippines.